Kuzushiji_MNIST_GAN_PyTorch.ipynb

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      "source": [
        "<a href=\"https://colab.research.google.com/github/kannankumar/jupyter-notebooks/blob/kuzushiji-mnist-gan/Kuzushiji_MNIST_GAN.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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        "# Kuzushiji MNIST GAN\n",
        "### Generating handdrawn old cursive Japanese script \n",
        "------\n",
        "In this notebook, I'll be building a generative adversarial network (GAN) trained on the K-MNIST dataset. From this, we'll be able to generate new handwritten cursive script!\n"
      ]
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        "colab": {}
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      "source": [
        "%matplotlib inline\n",
        "\n",
        "import numpy as np\n",
        "import torch\n",
        "import matplotlib.pyplot as plt"
      ],
      "execution_count": 0,
      "outputs": []
    },
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            "dad2a3c719f24d709014f51d50ccc790"
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        }
      },
      "source": [
        "from torchvision import datasets\n",
        "import torchvision.transforms as transforms\n",
        "\n",
        "# number of subprocesses to use for data loading\n",
        "num_workers = 0\n",
        "# how many samples per batch to load\n",
        "batch_size = 64\n",
        "\n",
        "# convert data to torch.FloatTensor\n",
        "transform = transforms.ToTensor()\n",
        "\n",
        "# get the training datasets\n",
        "train_data = datasets.KMNIST(root='data', train=True,\n",
        "                                   download=True, transform=transform)\n",
        "\n",
        "# prepare data loader\n",
        "train_loader = torch.utils.data.DataLoader(train_data, batch_size=batch_size,\n",
        "                                           num_workers=num_workers)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading http://codh.rois.ac.jp/kmnist/dataset/kmnist/train-images-idx3-ubyte.gz to data/KMNIST/raw/train-images-idx3-ubyte.gz\n"
          ],
          "name": "stdout"
        },
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        },
        {
          "output_type": "stream",
          "text": [
            "Extracting data/KMNIST/raw/train-images-idx3-ubyte.gz to data/KMNIST/raw\n",
            "Downloading http://codh.rois.ac.jp/kmnist/dataset/kmnist/train-labels-idx1-ubyte.gz to data/KMNIST/raw/train-labels-idx1-ubyte.gz\n"
          ],
          "name": "stdout"
        },
        {
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        {
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          "text": [
            "Extracting data/KMNIST/raw/train-labels-idx1-ubyte.gz to data/KMNIST/raw\n",
            "Downloading http://codh.rois.ac.jp/kmnist/dataset/kmnist/t10k-images-idx3-ubyte.gz to data/KMNIST/raw/t10k-images-idx3-ubyte.gz\n"
          ],
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          "text": [
            "Extracting data/KMNIST/raw/t10k-images-idx3-ubyte.gz to data/KMNIST/raw\n",
            "Downloading http://codh.rois.ac.jp/kmnist/dataset/kmnist/t10k-labels-idx1-ubyte.gz to data/KMNIST/raw/t10k-labels-idx1-ubyte.gz\n"
          ],
          "name": "stdout"
        },
        {
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        {
          "output_type": "stream",
          "text": [
            "Extracting data/KMNIST/raw/t10k-labels-idx1-ubyte.gz to data/KMNIST/raw\n",
            "Processing...\n",
            "Done!\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "D3KX1E2IlLyd",
        "colab_type": "text"
      },
      "source": [
        "### Visualize the data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8XmGlZlClLyd",
        "colab_type": "code",
        "outputId": "3e9b246e-a890-4916-ed70-89d35d7252ff",
        "colab": {
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      },
      "source": [
        "# obtain one batch of training images\n",
        "dataiter = iter(train_loader)\n",
        "images, labels = dataiter.next()\n",
        "images = images.numpy()\n",
        "\n",
        "# get one image from the batch\n",
        "img = np.squeeze(images[6])\n",
        "\n",
        "fig = plt.figure(figsize = (3,3)) \n",
        "ax = fig.add_subplot(111)\n",
        "ax.imshow(img, cmap='gray')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\n",
            "\n",
            "\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.image.AxesImage at 0x7f4332552a58>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 216x216 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rxree4dHlLyg",
        "colab_type": "text"
      },
      "source": [
        "---\n",
        "# Define the Model\n",
        "\n",
        "A GAN is comprised of two adversarial networks, a discriminator and a generator."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pMASypyClLyg",
        "colab_type": "text"
      },
      "source": [
        "## Discriminator\n",
        "\n",
        "The discriminator network is going to be a pretty typical linear classifier. To make this network a universal function approximator, we'll need at least one hidden layer, and these hidden layers should have one key attribute:\n",
        "> All hidden layers will have a [Leaky ReLu](https://pytorch.org/docs/stable/nn.html#torch.nn.LeakyReLU) activation function applied to their outputs.\n",
        "\n",
        "<img src='https://github.com/kannankumar/jupyter-notebooks/blob/kuzushiji-mnist-gan/assets/gan_network.png?raw=1' width=70% />\n",
        "\n",
        "#### Leaky ReLu\n",
        "\n",
        "We should use a leaky ReLU to allow gradients to flow backwards through the layer unimpeded. A leaky ReLU is like a normal ReLU, except that there is a small non-zero output for negative input values.\n",
        "\n",
        "<img src='https://github.com/kannankumar/jupyter-notebooks/blob/kuzushiji-mnist-gan/assets/leaky_relu.png?raw=1' width=40% />\n",
        "\n",
        "#### Sigmoid Output\n",
        "\n",
        "We'll also take the approach of using a more numerically stable loss function on the outputs. Recall that we want the discriminator to output a value 0-1 indicating whether an image is _real or fake_. \n",
        "> We will ultimately use [BCEWithLogitsLoss](https://pytorch.org/docs/stable/nn.html#bcewithlogitsloss), which combines a `sigmoid` activation function **and** and binary cross entropy loss in one function. \n",
        "\n",
        "So, our final output layer should not have any activation function applied to it."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_HcXXtuBlLyh",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import torch.nn as nn\n",
        "import torch.nn.functional as F\n",
        "\n",
        "class Discriminator(nn.Module):\n",
        "\n",
        "    def __init__(self, input_size, hidden_dim, output_size):\n",
        "        super(Discriminator, self).__init__()\n",
        "        \n",
        "        # define hidden linear layers\n",
        "        self.fc1 = nn.Linear(input_size, hidden_dim*4)\n",
        "        self.fc2 = nn.Linear(hidden_dim*4, hidden_dim*2)\n",
        "        self.fc3 = nn.Linear(hidden_dim*2, hidden_dim)\n",
        "        \n",
        "        # final fully-connected layer\n",
        "        self.fc4 = nn.Linear(hidden_dim, output_size)\n",
        "        \n",
        "        # dropout layer \n",
        "        self.dropout = nn.Dropout(0.3)\n",
        "        \n",
        "        \n",
        "    def forward(self, x):\n",
        "        # flatten image\n",
        "        x = x.view(-1, 28*28)\n",
        "        # all hidden layers\n",
        "        x = F.leaky_relu(self.fc1(x), 0.2) # (input, negative_slope=0.2)\n",
        "        x = self.dropout(x)\n",
        "        x = F.leaky_relu(self.fc2(x), 0.2)\n",
        "        x = self.dropout(x)\n",
        "        x = F.leaky_relu(self.fc3(x), 0.2)\n",
        "        x = self.dropout(x)\n",
        "        # final layer\n",
        "        out = self.fc4(x)\n",
        "\n",
        "        return out\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xxsj37VmlLyj",
        "colab_type": "text"
      },
      "source": [
        "## Generator\n",
        "\n",
        "The generator network will be almost exactly the same as the discriminator network, except that we're applying a [tanh activation function](https://pytorch.org/docs/stable/nn.html#tanh) to our output layer.\n",
        "\n",
        "#### tanh Output\n",
        "The generator has been found to perform the best with $tanh$ for the generator output, which scales the output to be between -1 and 1, instead of 0 and 1. \n",
        "\n",
        "<img src='https://github.com/kannankumar/jupyter-notebooks/blob/kuzushiji-mnist-gan/assets/tanh_fn.png?raw=1' width=40% />\n",
        "\n",
        "Recall that we also want these outputs to be comparable to the *real* input pixel values, which are read in as normalized values between 0 and 1. \n",
        "> So, we'll also have to **scale our real input images to have pixel values between -1 and 1** when we train the discriminator. \n",
        "\n",
        "I'll do this in the training loop, later on."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pfiy71d1lLyj",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "class Generator(nn.Module):\n",
        "\n",
        "    def __init__(self, input_size, hidden_dim, output_size):\n",
        "        super(Generator, self).__init__()\n",
        "        \n",
        "        # define hidden linear layers\n",
        "        self.fc1 = nn.Linear(input_size, hidden_dim)\n",
        "        self.fc2 = nn.Linear(hidden_dim, hidden_dim*2)\n",
        "        self.fc3 = nn.Linear(hidden_dim*2, hidden_dim*4)\n",
        "        \n",
        "        # final fully-connected layer\n",
        "        self.fc4 = nn.Linear(hidden_dim*4, output_size)\n",
        "        \n",
        "        # dropout layer \n",
        "        self.dropout = nn.Dropout(0.3)\n",
        "\n",
        "    def forward(self, x):\n",
        "        # all hidden layers\n",
        "        x = F.leaky_relu(self.fc1(x), 0.2) # (input, negative_slope=0.2)\n",
        "        x = self.dropout(x)\n",
        "        x = F.leaky_relu(self.fc2(x), 0.2)\n",
        "        x = self.dropout(x)\n",
        "        x = F.leaky_relu(self.fc3(x), 0.2)\n",
        "        x = self.dropout(x)\n",
        "        # final layer with tanh applied\n",
        "        out = F.tanh(self.fc4(x))\n",
        "\n",
        "        return out"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "b5mNElN0lLym",
        "colab_type": "text"
      },
      "source": [
        "## Model hyperparameters"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "l99TWdZulLym",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Discriminator hyperparams\n",
        "\n",
        "# Size of input image to discriminator (28*28)\n",
        "input_size = 784\n",
        "# Size of discriminator output (real or fake)\n",
        "d_output_size = 1\n",
        "# Size of last hidden layer in the discriminator\n",
        "d_hidden_size = 32\n",
        "\n",
        "# Generator hyperparams\n",
        "\n",
        "# Size of latent vector to give to generator\n",
        "z_size = 100\n",
        "# Size of discriminator output (generated image)\n",
        "g_output_size = 784\n",
        "# Size of first hidden layer in the generator\n",
        "g_hidden_size = 32"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "GYooriyilLyp",
        "colab_type": "text"
      },
      "source": [
        "## Build complete network\n",
        "\n",
        "Now we're instantiating the discriminator and generator from the classes defined above. Make sure you've passed in the correct input arguments."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gakmC_qVlLyp",
        "colab_type": "code",
        "outputId": "7f5ec707-dcc2-44b9-f747-81ba5bc2f3fd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 283
        }
      },
      "source": [
        "# instantiate discriminator and generator\n",
        "D = Discriminator(input_size, d_hidden_size, d_output_size)\n",
        "G = Generator(z_size, g_hidden_size, g_output_size)\n",
        "\n",
        "# check that they are as you expect\n",
        "print(D)\n",
        "print()\n",
        "print(G)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Discriminator(\n",
            "  (fc1): Linear(in_features=784, out_features=128, bias=True)\n",
            "  (fc2): Linear(in_features=128, out_features=64, bias=True)\n",
            "  (fc3): Linear(in_features=64, out_features=32, bias=True)\n",
            "  (fc4): Linear(in_features=32, out_features=1, bias=True)\n",
            "  (dropout): Dropout(p=0.3, inplace=False)\n",
            ")\n",
            "\n",
            "Generator(\n",
            "  (fc1): Linear(in_features=100, out_features=32, bias=True)\n",
            "  (fc2): Linear(in_features=32, out_features=64, bias=True)\n",
            "  (fc3): Linear(in_features=64, out_features=128, bias=True)\n",
            "  (fc4): Linear(in_features=128, out_features=784, bias=True)\n",
            "  (dropout): Dropout(p=0.3, inplace=False)\n",
            ")\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6cITBL7clLyu",
        "colab_type": "text"
      },
      "source": [
        "---\n",
        "## Discriminator and Generator Losses\n",
        "\n",
        "Now we need to calculate the losses. \n",
        "\n",
        "### Discriminator Losses\n",
        "\n",
        "> * For the discriminator, the total loss is the sum of the losses for real and fake images, `d_loss = d_real_loss + d_fake_loss`. \n",
        "* Remember that we want the discriminator to output 1 for real images and 0 for fake images, so we need to set up the losses to reflect that.\n",
        "\n",
        "<img src='https://github.com/kannankumar/jupyter-notebooks/blob/kuzushiji-mnist-gan/assets/gan_pipeline.png?raw=1' width=70% />\n",
        "\n",
        "The losses will by binary cross entropy loss with logits, which we can get with [BCEWithLogitsLoss](https://pytorch.org/docs/stable/nn.html#bcewithlogitsloss). This combines a `sigmoid` activation function **and** and binary cross entropy loss in one function.\n",
        "\n",
        "For the real images, we want `D(real_images) = 1`. That is, we want the discriminator to classify the the real images with a label = 1, indicating that these are real. To help the discriminator generalize better, the labels are **reduced a bit from 1.0 to 0.9**. For this, we'll use the parameter `smooth`; if True, then we should smooth our labels. In PyTorch, this looks like `labels = torch.ones(size) * 0.9`\n",
        "\n",
        "The discriminator loss for the fake data is similar. We want `D(fake_images) = 0`, where the fake images are the _generator output_, `fake_images = G(z)`. \n",
        "\n",
        "### Generator Loss\n",
        "\n",
        "The generator loss will look similar only with flipped labels. The generator's goal is to get `D(fake_images) = 1`. In this case, the labels are **flipped** to represent that the generator is trying to fool the discriminator into thinking that the images it generates (fakes) are real!"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oqHCSA91lLyv",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Calculate losses\n",
        "def real_loss(D_out, smooth=False):\n",
        "    batch_size = D_out.size(0)\n",
        "    # label smoothing\n",
        "    if smooth:\n",
        "        # smooth, real labels = 0.9\n",
        "        labels = torch.ones(batch_size)*0.9\n",
        "    else:\n",
        "        labels = torch.ones(batch_size) # real labels = 1\n",
        "        \n",
        "    # numerically stable loss\n",
        "    criterion = nn.BCEWithLogitsLoss()\n",
        "    # calculate loss\n",
        "    loss = criterion(D_out.squeeze(), labels)\n",
        "    return loss\n",
        "\n",
        "def fake_loss(D_out):\n",
        "    batch_size = D_out.size(0)\n",
        "    labels = torch.zeros(batch_size) # fake labels = 0\n",
        "    criterion = nn.BCEWithLogitsLoss()\n",
        "    # calculate loss\n",
        "    loss = criterion(D_out.squeeze(), labels)\n",
        "    return loss"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9G2h69E8lLyx",
        "colab_type": "text"
      },
      "source": [
        "## Optimizers\n",
        "\n",
        "We want to update the generator and discriminator variables separately. So, we'll define two separate Adam optimizers."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "scrolled": true,
        "id": "n3WGahFllLyx",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import torch.optim as optim\n",
        "\n",
        "# Optimizers\n",
        "lr = 0.002\n",
        "\n",
        "# Create optimizers for the discriminator and generator\n",
        "d_optimizer = optim.Adam(D.parameters(), lr)\n",
        "g_optimizer = optim.Adam(G.parameters(), lr)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zEp_LtLglLyz",
        "colab_type": "text"
      },
      "source": [
        "---\n",
        "## Training\n",
        "\n",
        "Training will involve alternating between training the discriminator and the generator. We'll use our functions `real_loss` and `fake_loss` to help us calculate the discriminator losses in all of the following cases.\n",
        "\n",
        "### Discriminator training\n",
        "1. Compute the discriminator loss on real, training images        \n",
        "2. Generate fake images\n",
        "3. Compute the discriminator loss on fake, generated images     \n",
        "4. Add up real and fake loss\n",
        "5. Perform backpropagation + an optimization step to update the discriminator's weights\n",
        "\n",
        "### Generator training\n",
        "1. Generate fake images\n",
        "2. Compute the discriminator loss on fake images, using **flipped** labels!\n",
        "3. Perform backpropagation + an optimization step to update the generator's weights\n",
        "\n",
        "#### Saving Samples\n",
        "\n",
        "As we train, we'll also print out some loss statistics and save some generated \"fake\" samples."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "scrolled": true,
        "id": "vXbEOYxmlLy0",
        "colab_type": "code",
        "outputId": "c0d5ecaa-360c-4487-997c-e9bad5657034",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "import pickle as pkl\n",
        "\n",
        "# training hyperparams\n",
        "num_epochs = 500\n",
        "\n",
        "# keep track of loss and generated, \"fake\" samples\n",
        "samples = []\n",
        "losses = []\n",
        "\n",
        "print_every = 400\n",
        "\n",
        "# Get some fixed data for sampling. These are images that are held\n",
        "# constant throughout training, and allow us to inspect the model's performance\n",
        "sample_size=16\n",
        "fixed_z = np.random.uniform(-1, 1, size=(sample_size, z_size))\n",
        "fixed_z = torch.from_numpy(fixed_z).float()\n",
        "\n",
        "# train the network\n",
        "D.train()\n",
        "G.train()\n",
        "for epoch in range(num_epochs):\n",
        "    \n",
        "    for batch_i, (real_images, _) in enumerate(train_loader):\n",
        "                \n",
        "        batch_size = real_images.size(0)\n",
        "        \n",
        "        ## Important rescaling step ## \n",
        "        real_images = real_images*2 - 1  # rescale input images from [0,1) to [-1, 1)\n",
        "        \n",
        "        # ============================================\n",
        "        #            TRAIN THE DISCRIMINATOR\n",
        "        # ============================================\n",
        "        \n",
        "        d_optimizer.zero_grad()\n",
        "        \n",
        "        # 1. Train with real images\n",
        "\n",
        "        # Compute the discriminator losses on real images \n",
        "        # smooth the real labels\n",
        "        D_real = D(real_images)\n",
        "        d_real_loss = real_loss(D_real, smooth=True)\n",
        "        \n",
        "        # 2. Train with fake images\n",
        "        \n",
        "        # Generate fake images\n",
        "        z = np.random.uniform(-1, 1, size=(batch_size, z_size))\n",
        "        z = torch.from_numpy(z).float()\n",
        "        fake_images = G(z)\n",
        "        \n",
        "        # Compute the discriminator losses on fake images        \n",
        "        D_fake = D(fake_images)\n",
        "        d_fake_loss = fake_loss(D_fake)\n",
        "        \n",
        "        # add up loss and perform backprop\n",
        "        d_loss = d_real_loss + d_fake_loss\n",
        "        d_loss.backward()\n",
        "        d_optimizer.step()\n",
        "        \n",
        "        \n",
        "        # =========================================\n",
        "        #            TRAIN THE GENERATOR\n",
        "        # =========================================\n",
        "        g_optimizer.zero_grad()\n",
        "        \n",
        "        # 1. Train with fake images and flipped labels\n",
        "        \n",
        "        # Generate fake images\n",
        "        z = np.random.uniform(-1, 1, size=(batch_size, z_size))\n",
        "        z = torch.from_numpy(z).float()\n",
        "        fake_images = G(z)\n",
        "        \n",
        "        # Compute the discriminator losses on fake images \n",
        "        # using flipped labels!\n",
        "        D_fake = D(fake_images)\n",
        "        g_loss = real_loss(D_fake) # use real loss to flip labels\n",
        "        \n",
        "        # perform backprop\n",
        "        g_loss.backward()\n",
        "        g_optimizer.step()\n",
        "\n",
        "        # Print some loss stats\n",
        "        if batch_i % print_every == 0:\n",
        "            # print discriminator and generator loss\n",
        "            print('Epoch [{:5d}/{:5d}] | d_loss: {:6.4f} | g_loss: {:6.4f}'.format(\n",
        "                    epoch+1, num_epochs, d_loss.item(), g_loss.item()))\n",
        "\n",
        "    \n",
        "    ## AFTER EACH EPOCH##\n",
        "    # append discriminator loss and generator loss\n",
        "    losses.append((d_loss.item(), g_loss.item()))\n",
        "    \n",
        "    # generate and save sample, fake images\n",
        "    G.eval() # eval mode for generating samples\n",
        "    samples_z = G(fixed_z)\n",
        "    samples.append(samples_z)\n",
        "    G.train() # back to train mode\n",
        "\n",
        "\n",
        "# Save training generator samples\n",
        "with open('train_samples.pkl', 'wb') as f:\n",
        "    pkl.dump(samples, f)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/torch/nn/functional.py:1340: UserWarning: nn.functional.tanh is deprecated. Use torch.tanh instead.\n",
            "  warnings.warn(\"nn.functional.tanh is deprecated. Use torch.tanh instead.\")\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "Epoch [    1/  500] | d_loss: 1.3843 | g_loss: 0.7745\n",
            "Epoch [    1/  500] | d_loss: 1.0199 | g_loss: 2.3894\n",
            "Epoch [    1/  500] | d_loss: 0.8806 | g_loss: 3.3590\n",
            "Epoch [    2/  500] | d_loss: 1.1864 | g_loss: 1.6670\n",
            "Epoch [    2/  500] | d_loss: 1.1579 | g_loss: 1.2377\n",
            "Epoch [    2/  500] | d_loss: 1.0386 | g_loss: 1.9943\n",
            "Epoch [    3/  500] | d_loss: 1.2861 | g_loss: 1.5848\n",
            "Epoch [    3/  500] | d_loss: 1.2837 | g_loss: 1.0311\n",
            "Epoch [    3/  500] | d_loss: 1.2966 | g_loss: 1.1812\n",
            "Epoch [    4/  500] | d_loss: 1.0086 | g_loss: 1.5354\n",
            "Epoch [    4/  500] | d_loss: 1.0570 | g_loss: 1.3172\n",
            "Epoch [    4/  500] | d_loss: 1.0492 | g_loss: 1.9631\n",
            "Epoch [    5/  500] | d_loss: 0.9396 | g_loss: 2.6279\n",
            "Epoch [    5/  500] | d_loss: 1.2218 | g_loss: 1.9732\n",
            "Epoch [    5/  500] | d_loss: 1.1564 | g_loss: 1.6359\n",
            "Epoch [    6/  500] | d_loss: 0.9228 | g_loss: 1.8019\n",
            "Epoch [    6/  500] | d_loss: 1.1425 | g_loss: 1.5903\n",
            "Epoch [    6/  500] | d_loss: 1.3004 | g_loss: 2.3539\n",
            "Epoch [    7/  500] | d_loss: 1.0428 | g_loss: 2.1014\n",
            "Epoch [    7/  500] | d_loss: 1.0973 | g_loss: 1.9284\n",
            "Epoch [    7/  500] | d_loss: 1.0812 | g_loss: 3.5730\n",
            "Epoch [    8/  500] | d_loss: 1.1586 | g_loss: 1.3813\n",
            "Epoch [    8/  500] | d_loss: 1.1533 | g_loss: 1.6277\n",
            "Epoch [    8/  500] | d_loss: 1.1861 | g_loss: 1.4899\n",
            "Epoch [    9/  500] | d_loss: 0.9109 | g_loss: 2.0877\n",
            "Epoch [    9/  500] | d_loss: 0.9362 | g_loss: 2.2205\n",
            "Epoch [    9/  500] | d_loss: 1.1452 | g_loss: 1.3098\n",
            "Epoch [   10/  500] | d_loss: 0.9849 | g_loss: 1.7889\n",
            "Epoch [   10/  500] | d_loss: 0.9778 | g_loss: 2.8785\n",
            "Epoch [   10/  500] | d_loss: 1.0352 | g_loss: 2.0142\n",
            "Epoch [   11/  500] | d_loss: 1.1784 | g_loss: 1.2433\n",
            "Epoch [   11/  500] | d_loss: 0.9440 | g_loss: 2.1582\n",
            "Epoch [   11/  500] | d_loss: 1.1808 | g_loss: 1.2940\n",
            "Epoch [   12/  500] | d_loss: 1.2003 | g_loss: 2.2900\n",
            "Epoch [   12/  500] | d_loss: 1.2037 | g_loss: 1.4413\n",
            "Epoch [   12/  500] | d_loss: 1.2796 | g_loss: 1.2974\n",
            "Epoch [   13/  500] | d_loss: 1.1664 | g_loss: 1.3368\n",
            "Epoch [   13/  500] | d_loss: 1.2669 | g_loss: 1.1559\n",
            "Epoch [   13/  500] | d_loss: 1.2276 | g_loss: 1.1556\n",
            "Epoch [   14/  500] | d_loss: 1.2019 | g_loss: 1.3763\n",
            "Epoch [   14/  500] | d_loss: 1.2258 | g_loss: 1.3326\n",
            "Epoch [   14/  500] | d_loss: 1.1813 | g_loss: 1.1507\n",
            "Epoch [   15/  500] | d_loss: 1.2635 | g_loss: 1.1745\n",
            "Epoch [   15/  500] | d_loss: 1.2650 | g_loss: 1.0765\n",
            "Epoch [   15/  500] | d_loss: 1.2885 | g_loss: 1.1326\n",
            "Epoch [   16/  500] | d_loss: 1.2252 | g_loss: 0.9956\n",
            "Epoch [   16/  500] | d_loss: 1.3000 | g_loss: 1.0471\n",
            "Epoch [   16/  500] | d_loss: 1.2225 | g_loss: 1.1263\n",
            "Epoch [   17/  500] | d_loss: 1.2223 | g_loss: 0.9783\n",
            "Epoch [   17/  500] | d_loss: 1.3406 | g_loss: 0.9269\n",
            "Epoch [   17/  500] | d_loss: 1.0735 | g_loss: 1.5531\n",
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            "Epoch [   18/  500] | d_loss: 1.1622 | g_loss: 1.1668\n",
            "Epoch [   18/  500] | d_loss: 1.1916 | g_loss: 1.1457\n",
            "Epoch [   19/  500] | d_loss: 1.2649 | g_loss: 1.2842\n",
            "Epoch [   19/  500] | d_loss: 1.2276 | g_loss: 1.5106\n",
            "Epoch [   19/  500] | d_loss: 1.2941 | g_loss: 1.0038\n",
            "Epoch [   20/  500] | d_loss: 1.2531 | g_loss: 1.0613\n",
            "Epoch [   20/  500] | d_loss: 1.2080 | g_loss: 1.0016\n",
            "Epoch [   20/  500] | d_loss: 1.1889 | g_loss: 1.1429\n",
            "Epoch [   21/  500] | d_loss: 1.1558 | g_loss: 1.3710\n",
            "Epoch [   21/  500] | d_loss: 1.2369 | g_loss: 1.6199\n",
            "Epoch [   21/  500] | d_loss: 1.3692 | g_loss: 1.2046\n",
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            "Epoch [   27/  500] | d_loss: 1.1406 | g_loss: 1.5710\n",
            "Epoch [   27/  500] | d_loss: 1.3226 | g_loss: 0.8732\n",
            "Epoch [   27/  500] | d_loss: 1.2442 | g_loss: 1.4512\n",
            "Epoch [   28/  500] | d_loss: 1.2377 | g_loss: 1.1974\n",
            "Epoch [   28/  500] | d_loss: 1.1254 | g_loss: 1.9427\n",
            "Epoch [   28/  500] | d_loss: 1.1938 | g_loss: 1.7119\n",
            "Epoch [   29/  500] | d_loss: 1.2603 | g_loss: 1.1286\n",
            "Epoch [   29/  500] | d_loss: 1.0997 | g_loss: 1.5291\n",
            "Epoch [   29/  500] | d_loss: 1.1998 | g_loss: 0.9778\n",
            "Epoch [   30/  500] | d_loss: 1.1921 | g_loss: 1.0795\n",
            "Epoch [   30/  500] | d_loss: 1.1304 | g_loss: 1.4217\n",
            "Epoch [   30/  500] | d_loss: 1.1393 | g_loss: 1.7788\n",
            "Epoch [   31/  500] | d_loss: 1.1646 | g_loss: 1.6626\n",
            "Epoch [   31/  500] | d_loss: 1.1875 | g_loss: 1.4954\n",
            "Epoch [   31/  500] | d_loss: 1.1086 | g_loss: 1.4519\n",
            "Epoch [   32/  500] | d_loss: 1.1732 | g_loss: 1.5989\n",
            "Epoch [   32/  500] | d_loss: 1.2861 | g_loss: 0.9520\n",
            "Epoch [   32/  500] | d_loss: 1.1700 | g_loss: 1.1521\n",
            "Epoch [   33/  500] | d_loss: 1.3947 | g_loss: 0.9738\n",
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            "Epoch [   36/  500] | d_loss: 1.2498 | g_loss: 0.9648\n",
            "Epoch [   37/  500] | d_loss: 1.1568 | g_loss: 1.6255\n",
            "Epoch [   37/  500] | d_loss: 1.1686 | g_loss: 1.8363\n",
            "Epoch [   37/  500] | d_loss: 1.1106 | g_loss: 1.7267\n",
            "Epoch [   38/  500] | d_loss: 1.2501 | g_loss: 1.1383\n",
            "Epoch [   38/  500] | d_loss: 1.2755 | g_loss: 0.9259\n",
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            "Epoch [   39/  500] | d_loss: 1.1692 | g_loss: 1.5946\n",
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            "Epoch [   41/  500] | d_loss: 1.1849 | g_loss: 1.3521\n",
            "Epoch [   42/  500] | d_loss: 1.2794 | g_loss: 0.9502\n",
            "Epoch [   42/  500] | d_loss: 1.2454 | g_loss: 1.1589\n",
            "Epoch [   42/  500] | d_loss: 1.2364 | g_loss: 1.2619\n",
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            "Epoch [   43/  500] | d_loss: 1.2670 | g_loss: 0.9626\n",
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            "Epoch [   47/  500] | d_loss: 1.2996 | g_loss: 1.0563\n",
            "Epoch [   47/  500] | d_loss: 0.9606 | g_loss: 1.7215\n",
            "Epoch [   47/  500] | d_loss: 1.2082 | g_loss: 1.3988\n",
            "Epoch [   48/  500] | d_loss: 1.2374 | g_loss: 0.9904\n",
            "Epoch [   48/  500] | d_loss: 1.2917 | g_loss: 1.0072\n",
            "Epoch [   48/  500] | d_loss: 1.2398 | g_loss: 1.2497\n",
            "Epoch [   49/  500] | d_loss: 1.2462 | g_loss: 1.6793\n",
            "Epoch [   49/  500] | d_loss: 1.1601 | g_loss: 1.3052\n",
            "Epoch [   49/  500] | d_loss: 1.2032 | g_loss: 1.4055\n",
            "Epoch [   50/  500] | d_loss: 1.3347 | g_loss: 1.0851\n",
            "Epoch [   50/  500] | d_loss: 1.1806 | g_loss: 1.0654\n",
            "Epoch [   50/  500] | d_loss: 1.2234 | g_loss: 1.2160\n",
            "Epoch [   51/  500] | d_loss: 1.2289 | g_loss: 1.2980\n",
            "Epoch [   51/  500] | d_loss: 1.2903 | g_loss: 1.2546\n",
            "Epoch [   51/  500] | d_loss: 1.0707 | g_loss: 1.6577\n",
            "Epoch [   52/  500] | d_loss: 1.1878 | g_loss: 1.6363\n",
            "Epoch [   52/  500] | d_loss: 1.1649 | g_loss: 1.3544\n",
            "Epoch [   52/  500] | d_loss: 1.2144 | g_loss: 1.2000\n",
            "Epoch [   53/  500] | d_loss: 1.2630 | g_loss: 1.0635\n",
            "Epoch [   53/  500] | d_loss: 1.2609 | g_loss: 0.9037\n",
            "Epoch [   53/  500] | d_loss: 1.1512 | g_loss: 1.1684\n",
            "Epoch [   54/  500] | d_loss: 1.2485 | g_loss: 1.1295\n",
            "Epoch [   54/  500] | d_loss: 1.2371 | g_loss: 1.0436\n",
            "Epoch [   54/  500] | d_loss: 1.1725 | g_loss: 1.3592\n",
            "Epoch [   55/  500] | d_loss: 1.2517 | g_loss: 1.0760\n",
            "Epoch [   55/  500] | d_loss: 1.1886 | g_loss: 1.5219\n",
            "Epoch [   55/  500] | d_loss: 1.2923 | g_loss: 0.8935\n",
            "Epoch [   56/  500] | d_loss: 1.2878 | g_loss: 1.0093\n",
            "Epoch [   56/  500] | d_loss: 1.3542 | g_loss: 1.0654\n",
            "Epoch [   56/  500] | d_loss: 1.2595 | g_loss: 0.9841\n",
            "Epoch [   57/  500] | d_loss: 1.1018 | g_loss: 1.8571\n",
            "Epoch [   57/  500] | d_loss: 1.1390 | g_loss: 1.2370\n",
            "Epoch [   57/  500] | d_loss: 1.1504 | g_loss: 0.9683\n",
            "Epoch [   58/  500] | d_loss: 1.1717 | g_loss: 1.3139\n",
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            "Epoch [  458/  500] | d_loss: 1.2757 | g_loss: 1.0469\n",
            "Epoch [  459/  500] | d_loss: 1.2810 | g_loss: 0.9964\n",
            "Epoch [  459/  500] | d_loss: 1.1677 | g_loss: 1.1538\n",
            "Epoch [  459/  500] | d_loss: 1.2425 | g_loss: 1.0938\n",
            "Epoch [  460/  500] | d_loss: 1.2290 | g_loss: 0.9975\n",
            "Epoch [  460/  500] | d_loss: 1.3764 | g_loss: 1.1486\n",
            "Epoch [  460/  500] | d_loss: 1.2411 | g_loss: 1.1481\n",
            "Epoch [  461/  500] | d_loss: 1.1088 | g_loss: 1.1608\n",
            "Epoch [  461/  500] | d_loss: 1.1649 | g_loss: 1.1446\n",
            "Epoch [  461/  500] | d_loss: 1.2688 | g_loss: 1.0429\n",
            "Epoch [  462/  500] | d_loss: 1.2115 | g_loss: 1.0597\n",
            "Epoch [  462/  500] | d_loss: 1.2250 | g_loss: 1.0993\n",
            "Epoch [  462/  500] | d_loss: 1.1497 | g_loss: 1.4549\n",
            "Epoch [  463/  500] | d_loss: 1.2049 | g_loss: 1.2603\n",
            "Epoch [  463/  500] | d_loss: 1.3192 | g_loss: 0.9899\n",
            "Epoch [  463/  500] | d_loss: 1.2893 | g_loss: 1.1893\n",
            "Epoch [  464/  500] | d_loss: 1.1939 | g_loss: 1.3543\n",
            "Epoch [  464/  500] | d_loss: 1.1877 | g_loss: 1.1142\n",
            "Epoch [  464/  500] | d_loss: 1.1623 | g_loss: 1.1587\n",
            "Epoch [  465/  500] | d_loss: 1.1925 | g_loss: 1.2146\n",
            "Epoch [  465/  500] | d_loss: 1.3097 | g_loss: 1.1407\n",
            "Epoch [  465/  500] | d_loss: 1.2046 | g_loss: 0.9884\n",
            "Epoch [  466/  500] | d_loss: 1.2549 | g_loss: 1.1883\n",
            "Epoch [  466/  500] | d_loss: 1.3888 | g_loss: 1.2580\n",
            "Epoch [  466/  500] | d_loss: 1.2402 | g_loss: 1.3985\n",
            "Epoch [  467/  500] | d_loss: 1.3530 | g_loss: 1.1188\n",
            "Epoch [  467/  500] | d_loss: 1.2246 | g_loss: 1.1237\n",
            "Epoch [  467/  500] | d_loss: 1.2985 | g_loss: 1.0351\n",
            "Epoch [  468/  500] | d_loss: 1.3113 | g_loss: 0.9493\n",
            "Epoch [  468/  500] | d_loss: 1.2233 | g_loss: 1.0116\n",
            "Epoch [  468/  500] | d_loss: 1.3674 | g_loss: 1.1330\n",
            "Epoch [  469/  500] | d_loss: 1.3633 | g_loss: 1.0630\n",
            "Epoch [  469/  500] | d_loss: 1.2951 | g_loss: 1.1129\n",
            "Epoch [  469/  500] | d_loss: 1.2830 | g_loss: 1.1357\n",
            "Epoch [  470/  500] | d_loss: 1.1693 | g_loss: 1.1571\n",
            "Epoch [  470/  500] | d_loss: 1.2435 | g_loss: 1.2107\n",
            "Epoch [  470/  500] | d_loss: 1.3383 | g_loss: 1.0776\n",
            "Epoch [  471/  500] | d_loss: 1.2045 | g_loss: 1.1534\n",
            "Epoch [  471/  500] | d_loss: 1.1251 | g_loss: 1.2836\n",
            "Epoch [  471/  500] | d_loss: 1.2273 | g_loss: 1.0912\n",
            "Epoch [  472/  500] | d_loss: 1.1812 | g_loss: 1.0808\n",
            "Epoch [  472/  500] | d_loss: 1.2236 | g_loss: 1.2251\n",
            "Epoch [  472/  500] | d_loss: 1.2866 | g_loss: 1.1022\n",
            "Epoch [  473/  500] | d_loss: 1.3414 | g_loss: 1.2175\n",
            "Epoch [  473/  500] | d_loss: 1.2782 | g_loss: 1.0892\n",
            "Epoch [  473/  500] | d_loss: 1.2264 | g_loss: 1.0656\n",
            "Epoch [  474/  500] | d_loss: 1.1355 | g_loss: 1.2720\n",
            "Epoch [  474/  500] | d_loss: 1.1920 | g_loss: 1.2109\n",
            "Epoch [  474/  500] | d_loss: 1.3156 | g_loss: 1.0095\n",
            "Epoch [  475/  500] | d_loss: 1.2119 | g_loss: 1.1758\n",
            "Epoch [  475/  500] | d_loss: 1.2543 | g_loss: 1.0329\n",
            "Epoch [  475/  500] | d_loss: 1.3141 | g_loss: 1.0810\n",
            "Epoch [  476/  500] | d_loss: 1.2145 | g_loss: 1.2202\n",
            "Epoch [  476/  500] | d_loss: 1.2089 | g_loss: 1.2958\n",
            "Epoch [  476/  500] | d_loss: 1.1878 | g_loss: 1.1432\n",
            "Epoch [  477/  500] | d_loss: 1.2603 | g_loss: 1.0633\n",
            "Epoch [  477/  500] | d_loss: 1.2312 | g_loss: 1.0050\n",
            "Epoch [  477/  500] | d_loss: 1.2099 | g_loss: 1.1935\n",
            "Epoch [  478/  500] | d_loss: 1.0932 | g_loss: 1.4668\n",
            "Epoch [  478/  500] | d_loss: 1.2538 | g_loss: 1.0792\n",
            "Epoch [  478/  500] | d_loss: 1.3046 | g_loss: 0.9883\n",
            "Epoch [  479/  500] | d_loss: 1.3384 | g_loss: 1.1337\n",
            "Epoch [  479/  500] | d_loss: 1.3022 | g_loss: 0.8665\n",
            "Epoch [  479/  500] | d_loss: 1.2168 | g_loss: 1.0384\n",
            "Epoch [  480/  500] | d_loss: 1.1686 | g_loss: 1.1290\n",
            "Epoch [  480/  500] | d_loss: 1.2130 | g_loss: 1.2711\n",
            "Epoch [  480/  500] | d_loss: 1.2105 | g_loss: 1.1852\n",
            "Epoch [  481/  500] | d_loss: 1.2634 | g_loss: 1.3340\n",
            "Epoch [  481/  500] | d_loss: 1.2390 | g_loss: 1.2525\n",
            "Epoch [  481/  500] | d_loss: 1.2624 | g_loss: 1.1691\n",
            "Epoch [  482/  500] | d_loss: 1.3024 | g_loss: 1.0546\n",
            "Epoch [  482/  500] | d_loss: 1.2590 | g_loss: 1.2378\n",
            "Epoch [  482/  500] | d_loss: 1.3003 | g_loss: 1.0928\n",
            "Epoch [  483/  500] | d_loss: 1.3397 | g_loss: 1.0384\n",
            "Epoch [  483/  500] | d_loss: 1.2310 | g_loss: 1.2693\n",
            "Epoch [  483/  500] | d_loss: 1.2399 | g_loss: 1.0844\n",
            "Epoch [  484/  500] | d_loss: 1.1392 | g_loss: 1.0848\n",
            "Epoch [  484/  500] | d_loss: 1.1668 | g_loss: 1.1151\n",
            "Epoch [  484/  500] | d_loss: 1.1912 | g_loss: 1.0715\n",
            "Epoch [  485/  500] | d_loss: 1.1222 | g_loss: 1.2291\n",
            "Epoch [  485/  500] | d_loss: 1.2938 | g_loss: 1.2271\n",
            "Epoch [  485/  500] | d_loss: 1.2834 | g_loss: 1.1710\n",
            "Epoch [  486/  500] | d_loss: 1.2058 | g_loss: 1.1531\n",
            "Epoch [  486/  500] | d_loss: 1.1866 | g_loss: 1.1028\n",
            "Epoch [  486/  500] | d_loss: 1.3539 | g_loss: 1.1767\n",
            "Epoch [  487/  500] | d_loss: 1.1983 | g_loss: 1.2172\n",
            "Epoch [  487/  500] | d_loss: 1.2570 | g_loss: 0.9275\n",
            "Epoch [  487/  500] | d_loss: 1.2118 | g_loss: 1.0697\n",
            "Epoch [  488/  500] | d_loss: 1.2839 | g_loss: 1.0765\n",
            "Epoch [  488/  500] | d_loss: 1.2600 | g_loss: 1.0281\n",
            "Epoch [  488/  500] | d_loss: 1.2907 | g_loss: 1.0748\n",
            "Epoch [  489/  500] | d_loss: 1.1754 | g_loss: 1.1343\n",
            "Epoch [  489/  500] | d_loss: 1.1881 | g_loss: 1.1309\n",
            "Epoch [  489/  500] | d_loss: 1.2729 | g_loss: 1.2803\n",
            "Epoch [  490/  500] | d_loss: 1.2568 | g_loss: 1.2041\n",
            "Epoch [  490/  500] | d_loss: 1.2864 | g_loss: 1.0591\n",
            "Epoch [  490/  500] | d_loss: 1.4036 | g_loss: 1.1151\n",
            "Epoch [  491/  500] | d_loss: 1.3001 | g_loss: 1.1926\n",
            "Epoch [  491/  500] | d_loss: 1.2939 | g_loss: 1.0538\n",
            "Epoch [  491/  500] | d_loss: 1.3412 | g_loss: 1.1331\n",
            "Epoch [  492/  500] | d_loss: 1.2198 | g_loss: 1.1864\n",
            "Epoch [  492/  500] | d_loss: 1.2054 | g_loss: 1.2081\n",
            "Epoch [  492/  500] | d_loss: 1.2122 | g_loss: 1.1391\n",
            "Epoch [  493/  500] | d_loss: 1.2090 | g_loss: 1.1056\n",
            "Epoch [  493/  500] | d_loss: 1.2575 | g_loss: 1.0786\n",
            "Epoch [  493/  500] | d_loss: 1.2125 | g_loss: 1.0492\n",
            "Epoch [  494/  500] | d_loss: 1.1974 | g_loss: 1.0121\n",
            "Epoch [  494/  500] | d_loss: 1.1120 | g_loss: 1.5888\n",
            "Epoch [  494/  500] | d_loss: 1.2954 | g_loss: 0.9432\n",
            "Epoch [  495/  500] | d_loss: 1.1050 | g_loss: 1.1510\n",
            "Epoch [  495/  500] | d_loss: 1.2612 | g_loss: 1.3808\n",
            "Epoch [  495/  500] | d_loss: 1.2411 | g_loss: 0.9651\n",
            "Epoch [  496/  500] | d_loss: 1.2277 | g_loss: 1.1819\n",
            "Epoch [  496/  500] | d_loss: 1.2724 | g_loss: 1.0165\n",
            "Epoch [  496/  500] | d_loss: 1.2477 | g_loss: 1.1764\n",
            "Epoch [  497/  500] | d_loss: 1.3123 | g_loss: 1.2317\n",
            "Epoch [  497/  500] | d_loss: 1.2503 | g_loss: 1.1469\n",
            "Epoch [  497/  500] | d_loss: 1.2624 | g_loss: 1.1077\n",
            "Epoch [  498/  500] | d_loss: 1.2759 | g_loss: 1.0377\n",
            "Epoch [  498/  500] | d_loss: 1.1916 | g_loss: 1.0281\n",
            "Epoch [  498/  500] | d_loss: 1.2952 | g_loss: 0.8863\n",
            "Epoch [  499/  500] | d_loss: 1.2608 | g_loss: 1.1513\n",
            "Epoch [  499/  500] | d_loss: 1.2211 | g_loss: 1.1453\n",
            "Epoch [  499/  500] | d_loss: 1.2333 | g_loss: 1.2727\n",
            "Epoch [  500/  500] | d_loss: 1.2277 | g_loss: 1.2533\n",
            "Epoch [  500/  500] | d_loss: 1.2212 | g_loss: 0.9895\n",
            "Epoch [  500/  500] | d_loss: 1.2332 | g_loss: 1.0645\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5vKCrCEElLy2",
        "colab_type": "text"
      },
      "source": [
        "## Training loss\n",
        "\n",
        "Here we'll plot the training losses for the generator and discriminator, recorded after each epoch."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eU14IuNZlLy2",
        "colab_type": "code",
        "outputId": "42c2edb0-0f40-4c3c-cb9c-4c7148f67be1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 298
        }
      },
      "source": [
        "fig, ax = plt.subplots()\n",
        "losses = np.array(losses)\n",
        "plt.plot(losses.T[0], label='Discriminator')\n",
        "plt.plot(losses.T[1], label='Generator')\n",
        "plt.title(\"Training Losses\")\n",
        "plt.legend()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.legend.Legend at 0x7f432703d908>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "to7Ssc9KlLy4",
        "colab_type": "text"
      },
      "source": [
        "## Generator samples from training\n",
        "\n",
        "Here we can view samples of images from the generator. First we'll look at the images we saved during training."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qtJpusM5lLy4",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# helper function for viewing a list of passed in sample images\n",
        "def view_samples(epoch, samples):\n",
        "    fig, axes = plt.subplots(figsize=(7,7), nrows=4, ncols=4, sharey=True, sharex=True)\n",
        "    for ax, img in zip(axes.flatten(), samples[epoch]):\n",
        "        img = img.detach()\n",
        "        ax.xaxis.set_visible(False)\n",
        "        ax.yaxis.set_visible(False)\n",
        "        im = ax.imshow(img.reshape((28,28)), cmap='Greys_r')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "P9pF90IdlLy6",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Load samples from generator, taken while training\n",
        "with open('train_samples.pkl', 'rb') as f:\n",
        "    samples = pkl.load(f)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zWAHHdkPlLy8",
        "colab_type": "text"
      },
      "source": [
        "These are samples from the final training epoch. You can see the generator is able to reproduce numbers like 1, 7, 3, 2. Since this is just a sample, it isn't representative of the full range of images this generator can make."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qJrF3c1-lLy8",
        "colab_type": "code",
        "outputId": "086752fe-4ded-4922-a9a7-6c215faeb670",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 414
        }
      },
      "source": [
        "# -1 indicates final epoch's samples (the last in the list)\n",
        "view_samples(-1, samples)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 504x504 with 16 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FSuYcmpxlLy-",
        "colab_type": "text"
      },
      "source": [
        "Below I'm showing the generated images as the network was training, every 10 epochs."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QM58-xZHlLy-",
        "colab_type": "code",
        "outputId": "7e868c07-cc49-4549-e84b-05bf4cc034e9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 686
        }
      },
      "source": [
        "rows = 10 # split epochs into 10, so 100/10 = every 10 epochs\n",
        "cols = 6\n",
        "fig, axes = plt.subplots(figsize=(7,12), nrows=rows, ncols=cols, sharex=True, sharey=True)\n",
        "\n",
        "for sample, ax_row in zip(samples[::int(len(samples)/rows)], axes):\n",
        "    for img, ax in zip(sample[::int(len(sample)/cols)], ax_row):\n",
        "        img = img.detach()\n",
        "        ax.imshow(img.reshape((28,28)), cmap='Greys_r')\n",
        "        ax.xaxis.set_visible(False)\n",
        "        ax.yaxis.set_visible(False)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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KpYILFy7Atm0JrzUygiBAtVoVb4wHVDqdhmVZWL9+vXhbwAoaKJVKYe3atZJ7qlarmJ+fF5QTsBITp/ATNRaNRtHf3w/btvG9730Puq6jt7dX3pNMJrF3794apei6LkzTxNDQkMyF4zgy11SkqVQK5XIZk5OTkg9rdDB3E41GZV74LIlEAhs3bkQ0GoXjOIjFYtizZw9SqRQGBgZkLorFIi5evIhSqSSHM5FUi4uLKJfLSCQSiMfjWL9+vcgFsAL84Ps8z8OePXtqECyMr2/duhXValUOr46Ojpo4uGVZKJfLGB8fR6VS+QG45vXORbFYlAOPliqfhSgvoroefPBBAMDmzZvlGQDg5MmTAEIoKVFC2WwWACSvSHTQ5z73OQDA7t27a7734YcfBgCB7XJeaOESnbZhw4aa53jDG94AADh27BgAIJ/PNzYRgCCuOL/MuViWhWQyifXr1wsNQdM07Nq1C6lUCr29vaIvbNvG5OSkHCw0KgGIPuEe6e3tRbVaxbPPPgtN0wSZWSqVYJomdu/eLXkT3h89aKLJXNcVtCkPm0QigXK5jImJiab3CPUP5YJ6gbJ78803AwjX6f777wcQogj5Oj1ZGoX0aLg+4+PjAICdO3cCAD7/+c8DAPbs2QMglAvm+Hhd7lnKBVGElAseqI3IRUOHi5rMqo+lqhYhE8YM//DmCC9NJpOycJlMRqxw9Xr0iPh9vu9jaWkJvu9LOKu1tVUmSLVsGDtVUSoqD4Z/5/c2A0PmdRn6UREwPGCpaPldDP/QagIgr6VSKckdACHMmdY454d5heXlZQAh14ehGB5UVNK8FxWpxfWgt8dNpnp7zcwFUJt7iUajNYcvk+eUCxVhF4lEBMUVBIHMhZpEVb1Dzr3neVhaWhKoue/7krTkYUsXnnNBeeJ9u65bMxf0JlUZWh3NDzWfx3mmvnilPcKh5ieBFb3CkCuvBYQQXzUnQsMMkBAW0um0yCFzMMAP6gvKhgpAoFzwtVW5+OGjocOFVgcT7lQILS0t0HUdExMTgqpoaWlBT08PcrmcoEDWrVuHTCaDO++8E7quI5vNIhKJIB6Pw3Ec4UGsXbsWhmFgcnISkUgEBw4cQKVSwWOPPSYcBcuycOutt8KyLGSzWRQKBQwPD9egXKhsp6am5ACJxWJoa2uDaZro7OxEqVSCrutNWWZUihTueDwuzzA5OSmKsbW1VeL+5O709vYimUxi27ZtME1ThJex4lQqBcuyMDg4CMMwcOXKFViWha1bt8K2bXzrW99CoVCQzdrb24tYLIZIJALHcXD58mUJJzLUQEIi54hxcIYGeBA0arHzHgjlpFJoa2uDrusYHR0VuchkMujr60O5XBZU19DQEBKJBPbs2SOKIZFIIBqNioeraRo2bdqESCSCS5cuQdd1vOlNb4Jt2/jGN74hnkA8Hse2bdvkecrlMk6cOCHJXNVomZ6eFu+TiWJgJd/BdW3USuXhqYbqgNDzePHFF2veT4vyq1/9KgDglltuAQC84x3vAIAa0AoAuccdO3YACC3ZX/zFXwQA/PEf/zGAMJZ/zz33AAg9oCeeeKLm+2n8kefAzw0MDAAIPS4CHhoZqlzwZywWE9j9+Pi4GH2tra0YHByE67oYHR2FYRhYu3YtUqkU9u7dKyAeXsNxHAm/M8c7MTEB0zRFLh5//HHhskWjUWzatEmMOdu2ceHCBdkLBBow56eCTujtE1DE0Gyjc0HDWp135uSOHj0KIDzY6IEyR0IPlZ4uPRAecrzHW2+9FQDw0ksvAQA+/OEPAwA+9alPAQjXlx4KB/lSvB7l5ezZszXvW79+PQCgu7sbwGvLRcM5FxXtwXg5rQaSFFtaWkRJEooLQJQtY5n8u+u6coMqMooHBHHsqmdERcy4PL+H7mw9GggIY/Jq/oEKsZl5oLeiemlErBUKBfi+j9bWVqRSKQnbqZYzn41KncJNgafVxLngJmG+S7W6+f28fj1hjd4lkVcq14ffzbBiM1aZ+j3Mr6m5LVqOTJK+EgSaBwLXqlqt1hyERIvRA+J3cf1pkVIu+Yz13CZ6Juq8U6bpxd0o/2l1rAx1nzD3wdwpcxiZTAbJZLKGJgBA9gjXmHtV1RcqtJkKl/qC+5r5FO5P7hlGNHiPlAvuEdVT5t6grK2OHz6aIlGSwLZhwwZYloX29na4rovZ2VkkEgm89a1vRSKRwNTUFFzXxc6dOxGNRpHP51GpVJDL5WqgsKOjo5L7UBPgxJsz0bdv3z5ks1kcO3ZMEE+maWJpaQm5XE5CJ/F4vIZJSw4MrYVSqYRKpSLfo7rUjQwKZDweR1dXF1KplMRrs9ksMpmMIJ7m5ubg+z727NkDwzBw7do1lMtlCeXwsM3lcpJ7orADEDYx+SoDAwNIp9PiFRDCPDExgVKpVEMsJFzTsix0d3eLwmX4zLZtIazdyMZhCGNwcFDgoK7rYnp6Gul0Gm95y1sQj8dx7do1+L6PXbt2IRqNyjOr4VbXdTE5OSkyw0Q9sFLawrZtpFIpyeHk83m88MILIi/RaBTnz58XVjYQcjwYdmtvbxdvPAgCZLNZlEol5HK5G4Jnq7K2d+9eAKEHMDk5CQD46Ec/CiDkG7z73e8GEFqKDPESRURLlEqVB/fY2BiA0JJ861vfCgB4/PHHAYQxfeanaBnTgubzMSnOw51oJf68EaODcjEwMIBkMomWlhZBKqZSKRw8eBCxWAwzMzMIggB79+5FJBLB/Py8gDeAMM85Pj6OYrEocsFDZG5uDtVqFS0tLZJLyWazOHXqlKACo9EoRkZGajx4evU0cDo7O2vCpPl8HrZtC+DoRuaCckHPhJ4LUYO//du/DQA4fPgwAOA973kPgBAdRmY8n7leLvj6yMgIgFAu3vKWtwAAHnvsMQChJ03+C/UM9wj1DD9HuSD/hj9VBHD9aJhEyc1PS4R5C8b9E4mElDrhl9JaJEqIcU9ar67rChqIh47KxCf+vb29HfF4XMJwfDDbtmuQUkz4zc/PwzAMYWrTSub1GeO3bbtpYeE/elG0kslFIUqK80ahbW1trYFlEwpM76ujo0MAAWo+isLd2dmJaDQqREM+IxOO/B4etCQuMlTFA4jlLvi+crl8w3PBcIUqF+l0Whj1qmdlmqYoeT4fD1yuVU9Pjxy0qgVZrVYRjUbR09ODZDIpZYUIiqDBwvwVDyfKSmtrqxy+jMEzJKfrelMJ/dURDlUmKBfUF9wj9FoYzeDnGFbla/RqVN5JZ2enhIFVD4T5sq6uLgnDkRdlGEaNXNBQBkIFzfdTL3FvxuNx+L4vB//qeO3RcM6FiWMV5nr58mVEIhFs3boV6XQa+XwehUJBFNbo6Ci6urpw8OBBmKaJixcvIpfL4cKFC9A0DTt27EB7ezvuvPNOeJ6Hw4cPo1AoYMOGDTXEzN7eXlFWtNZLpRJmZmZQLBbR3t6OTCaDW2+9FZ7nCWb73nvvhaZpOHLkCAqFghx+wIqiYTin0bmoJ4KaponR0VFEIhFs374dyWQSuVxOuB/ACk68vb0dDzzwgLx/aWkJZ8+ehaZp2LdvHzo7O3HgwAE4joMnnngCuVwO3d3dEhIzDAM333wzfN9HV1cXfN/HunXrYNs2nnvuOeTzeVHme/bsQbVaxdNPPw1gxZLWdR0nTpxAuVyWagfMTzDk1OhcqCE5bsyxsTFEo1Hs2bNHvBhakK7r4vz58+ju7sYHPvABRCIRnDx5EtPT0zIXO3bswJo1a3Dw4EF4nic5t3Xr1snBmU6nsWXLlppEfF9fH2zbxvLyMgqFAjo6OpDJZHDTTTfBdV0888wz0DQNd999NzRNw9GjR1EqlUAOVzKZlJh8o54cD7d6D4EWIj0Uehy0ICmrH/vYxwCE/BX+ZKz9E5/4BADg05/+NADgrrvuAhBarEQZ8brkU4yOjgII0T+83t///d8DAH7qp34KQMjoJgqJntfx48elHtX1DkYF+H/yVrhHduzYgWQyiWKxCNu2RbecP38enZ2deOihh0RfLC4u4syZM9A0DXv37kVvby/e+MY3wvM8PPnkk8hms+jr6xO5iMfjWLdunYSmq9Uq+vv7BV2Wz+fR2tqKdDqNW265BdVqVeaaOeGjR4+iWCyipaVF0Jc0QIjWu95hGIboLSBk5DPX8SM/8iMAQl4JPRre0+/8zu8ACCswfOtb3wIQ5uZ+//d/HwDwmc98BkDIX+FePnjwIIDQk6Fc0MNhLoXX+5u/+RsAwE/+5E8CCBn/9ITpgR09elQqX9SPpnIuzBPQyqYVyqKW/J3KV+XDAKiJraoxWSZzC4UC8vk82trapLBgfXkSwl8ZY6f3wLwFeRD112Z1AKJTuNjNcBrUvA6vocaJOUfqXKiDXhmZ4ZwnWtr0MFTCEuHV6v2qDH2SBhkuYN6iUqnUoMZ4nypzv1l3n3PBJLiKxOKz8/nVWHh9GQ3yeNTcFOeBUM5cLieWZrlclli76vXxEGO4i7F627ZreFPqtT3Pq2Fv38hcrI5wvJK+oHyqlSi4L7kn1ENdzUNyz6lrVywWUSqVJKnNmmLc7/xH2WJxWOoLygT1Ba/PfUZ9QblYHdc3GmLom6YZrFmzBjt27EAikaip/Muwl2VZ6OvrE6GJRqPCZ+Dizs/PQ9NWakvRNeVGtm0bp06dQqVSQTKZRBAEUi1569at8DwPL7/8Mnzfx6ZNm5DJZLB+/Xp4nocTJ04gm81ibGwMpVIJS0tLSCaTOHDgAEzTxKVLl+D7Pvr6+uD7PiYmJpDL5XD69GmcO3cO5XK5IfZxS0sL+vv7xYJWIbV9fX2wLEtQXMwlMZ7LSq3k7HR3d4vFBYSkseHhYam55XkepqamYBgG9u7diyAIcOzYMXieh/7+fiQSCaxZswa+7+Py5cvI5/PCEZiamkIqlcKBAwcEceX7KzXHfN/H1NQUstksLl26hKmpKTiO09BctLW1Yd26dTVkSSboW1paZC4ikYjEysmLAiBcHBJDiWQjUIToMsdxxMJljanNmzfL+gdBgO3btyOdTmPNmjVwXRcXLlwQuSgUClhaWkIqlcLtt98unjflAliJf+fzeZw/fx4TExMNz0UymRR0Dy08Mt9pOZKHwIOYHgKrFzMkx9pffB8tZqK7iB5jroZMfFq8vA+ixpiLoSdLuO773vc+ACG/ht/LWlMvvPACK1s0xEpva2vD2rVrhfPEsi6RSASdnZ1SBVnVF/RAWO06l8tB13UBCqlk12KxiAsXLqBarYp3PDMzg0gkgp07d8L3fRw7dgy+72PDhg1Ip9MYGBiA53k4e/YscrkcxsfHJQKSTCZx1113wTRNkYve3l6pDMGIy/e5UA3LBdFcfF7mNigXrOnFSAqZ8vQwiFLj+3gI18sFa8ux0gLlgsx9ytub3vQmAKHnTDQhvRFWVT516lTN/RCl+Fpy0XTOBQiTQJZlifKkgmVsXbXYVc9FvZ6KS6c1yliqGmNlcUPmIfh7LBaT+CgTbyTsRaNRIVFxg/KQcxynqTLiHOpckETIZLKKVCMaSfVkVOSbilZisp3EQc4ja6Jx7ujN0WPhvFmWBc/zJFZcKBSE1EcmskowpJXP6zQzaE0CtYRKHi7Ma6h8KLW+FD0PWoqqR+h5HmZnZ2HbtnibvGdawiTzMvZeLBYFAKDKxdLSEsrlshzizC9xTehB0opV12l1NDe4v1U+C3MvXH+1Lhh/qt6vmoNVCcZzc3OSOwFQoy+4J1TuFwvmMnei6gvKRSKREIKzKhc3ukf+N46GDhcmv6anp2GaJjo6OtDa2oru7m5JysViMbS3t9eUFTlz5gxaWlpw8OBBaJqGw4cPY2FhAcPDw4jH41KllDV92Lfj/PnzMAwDu3fvRjweR1tbmyCcXNcVVMjs7CyKxSJGR0dRLBaFJb9582ZBk9m2LeUfRkZGUKlUsLS0VIMuaWRQ0eXzeZRKJWkLsGbNGliWJWUtCNWmYj916hSSySQeeugh6PpKZd9sNovJyUnE43Fs3LgRhrFS+ob10TzPw+XLlxEEAYaGhqQvTLVaRW9vLxzHQWtrqyjMcrmMq1evIp/PIxqNIp1OY/v27YhEIsJCzmQycBwH09PTonjJpm4mzxCLxbCwsCAWJnlOhGbzPpBsuR0AACAASURBVBKJhMTAL1++LHOhaRqefvppLCwsSG2x7u5uBEEg5FlWfB4dHUUQBFi/fr3wixj+Y2ycwADbtjE+Pi4x9t7eXuzcuROGYWBmZkbqrqkopKWlJbiuC8uyGp4LAhSYU2Hu4s477wQQ5mBU7gQQ8hkYO2d1W/JiiNohH+K+++4DEKKKGFPn9zE/QvQPLVFatuSx/MIv/AIA4OWXXwYQosb4vWpfICLHrndQLhYXF4VHpOu6ADAIn0+n04jFYrJHTp8+jVQqhXe9613QNA3PPfcclpaWMDo6ilgshm3btkHTVnoieZ6HTZs2ibcOrNRLsywLXV1dqFarWF5ehuu6QswlOnFiYkJq+nV0dMgeWVxchOu6aG1theM4mJiYgG3bWFxcFH5Ns3LBe+Q8M2fGfUJPhnLC3ApzLpQLMuTpkbLfCz0RogMpJ8yVzM7OAgjlj0x8eqy8r5/5mZ8BEHrElJd6uejo6HhVuWgKiqwy3ulV0FqmdcowGP+mMvsTiYRADBn/56HB3IMKBSQ+XYUOc5CBTcuWlnI8Hpf+MOxwSS6EimdX47fNDLWCAK1pFZWmcklUK5mWeSqVEquIlrrKNlfvr55bpIIKeP9q1WdadJZlCbKGFjlrm9FqZCiK+YgblQu1JA/nSWXs814ZX2fCk1Zjfe5MzQ8R2ECPmddU4/e0VGnZcp6i0agg8RgSikajEqqjwlvlNLx+g3tE1RfqP8qh+n7C6CkXjuNIBILXIa9OjRIwp6IWylX1BXO4KsGYoX2iVUlVoAyoHDHqq1W5+OGjocOFoaje3l7hhpRKJanYy9zD+vXrYRgGpqenJWaZSCSkmm1fXx96e3tFkczOziKXy8lpeO3aNcRiMXR0dEiYgtBFxlmpcAzDEI7E9u3bxRpPJBLYsGGDJLYZqvG8lcZblUoFs7Oz0rXxlRLurzWowHjoMTwzOTkprncqlcKaNWtEUWqahqGhIcRiMXnGTZs2AQgLU87MzCCbzWJqakqgw9FoFO3t7TVF+Fhskc/EUCFDEGvXroVt21hYWIBlWVi3bp2sGUllruuivb1dwme2bePKlSsS321ELli3jIe7bdu4ePGiJG0zmYxYlFeuXJHcSSwWw8jICOLxuHQU5KFw8eJFLC8vY35+Hrqu49q1a7Asq6bdseM4UiOMnB1CssfGxqSmlG3b4in39fUhFouJB8wcTnd3t3Q2tW1bclCNDM9bqb+3bt26mtdp8REmT54Da3uxthR5C+SrsHIEPRZaqLRE+T2MxdMCrm9vTE+K1ZgZM2duhUYAPR2iytjP49KlS/Ld1zsYCmO3VebPxsfHxeOkvohEIlheXhZ9YVmW7KUNGzZgw4YNUu/typUrWF5exszMDDRNE4oC80/cmzywGCIm7YBzsmnTJjiOI9UviEKkzuFB0tPTg0qlIp1vZ2dnpYPj9Q7fX6k5R1QWAQr0QOjBMhdHHgnlgp4lPViCfPh5ri/zhlw/hhd5wPJ7WaOOfydjn3wa9g3ioCfFTpX0eC5evCj1zOpHw7XFANQkbbmAKiqDFiuLovX09MhmdhynhnfCf3SbgbCXhproZ5kBz/OEL6GifGh90BJXPSJa/oyjMmmu4u+bsURojVPhq5Zz/ftY64u11HgY0KtRES1BEEgyW/XigLAiLOtmseteuVyuQVqRq8FkKOPdvB4/Twgxy+A0ExbjM3MOuB7c5Oo8VKtVaSfb3t4Oy7JQKBTE6+XhSDmi8lBj9+o80xulXHAueA0AEt6qrwzBf9xwfB/nqNm5WB0rg/PPcDnRWfwb/06EGAmC3d3diMVisG27ppYX308jiqEdrpFKDWAujyWHCLWnTqBHpOoLtZ4cPS3P82pqAt7IHvnfNppqFkY2eldXlxwATNKyuxvRObFYDHv37kUsFpPELJn3XLihoSH09PTgjjvuEF4MSX6MVfq+j5GREUSjURw4cAC+7+P5559HqVQSpBYhjrREjx49KocOLVdgxdpjx0LP87Bu3bqGcy7AShy1u7sbmUxGiH4MR7W1tQmpcnl5GefPn0ckEsG9994rJeELhQJOnz4tTbJMc6WBUW9vL9785jdD0zRBsjDRnclkEASBzO3tt98O13XxzW9+E8ViUcIBRGgx3nzixAkJHVSrVYyNjSEIVlrDep6H8fFxyd00OxddXV1oaWlBZ2cnDMMQ+DM9FK778PAwYrGY9DofGxurqRLAEOHAwADWrl2LrVu3IggCnDt3TjwsXdfR2dkJ13Vx+fJlRKNR3HffffB9H0899RQqlQp6enpgmqZ032xtbYXrunjppZdELiqVingn27Ztk4oRjuNgaGioqbkAwirH9RYkDSh6BERtseMkrUDyHxjaJOrrx37sxwAAzz33HICVagXq95Dx//M///MAQh4LY/lMSNODYt8X/p2xela/5ffs2bOnYe+e99/d3Y2WlhZ0d3fL85DUSqMzm83i3LlziEaj2LZtG+LxOLLZrEQW1OKia9asQXd3N+677z4EwUqvI1a10HVd9MX4+DhisRjuvvtu+L6PJ554AqVSSWrwARD59DwPx44dEx1WqVQkP8Iq3GNjY3Bdt+Y5Gh2UC1Y7pmFDNCFzZey38yu/8isAQo/1mWeeARCiyVib7v/8n/8DIFx/ygVzKHydtcb+9m//FkDIp+GgHLA/DA9w9hGql4t9+/a9qlw0tXN4mHDDEBGlhojUwmrMG7DZl5pPUJFBvKZq1QC1/BH1cyrLn7h05hzoVQBhHoKhA1okJETdCKdBzdeomH4m9GmV8bn4XcwTEfGmeigMLQGoyVuoeS7mZtQqBjywib5TX+PrREKp3JkgCOQwb29vv6G54BpSeZNAyjwXkWEqL4nxdFqqfC4Vdqreq2pZUgbV3Bbzf/TiGGNneFXNDRFVRG9OBYzweVbHjQ3V81BRg4xAUFbVqg00TrhPGAJWPQ0ANflOjnqOC9+r6gZ+hnk/7lGGeKmrgLC6NnlSq3JxfaOpZmGsy3P16lVYloWdO3dKfwbDMJDP5yW/wKQrsBLnq1Qq6OrqQiKRQHd3tyT+8/k8XnzxRTiOI6EeFr9k9d/Ozk6Y5krF4WKxiMuXL0uIg24vY7rxeBz3338/YrEYLly4gHK5LL3cVWgkFVAzw3XdGusqmUxi+/btSCQSGBgYgGEYYnUNDAxIfa8gCKRq8po1ayQvQZfbdV08/vjjIsg8uDmHhmGgo6MDsVgMk5OTKBQKgmRJpVKoVCqSN5iamkI8Hscdd9yBSCSCl156CYVCQQwCbm42Zmt2LjzPEyj55OQkUqkUdu/ejdbWVmzYsAGGYQhSZf369cJ58H2/ptdMPB5HR0eHFL+sVCr40pe+BNu2RZa6u7vh+75wQtasWQPDMMSzGRkZEYVgmqYkaInIe9vb3gbLsjA8PCwIOdVYYXy+WSXi+yGDm/f4zne+E0Bo+dGLpkdCBcjYOTtEqtVnAeDjH/84gBC9QyY+czKM2ZPJzfwZD2nmcMhf+Y3f+A0AIc+BHg0Hq003W3/PdV2RC/JIdu7ciXQ6LXLB7qjr1q0T+HoQBJidnYXjOOjs7KypZs4c6te//nVZP7WMy8TEBHRdF+DG+Pg4CoUCrl27JoAehk+JJozH47jtttsQjUZx+vRpqTDCpL/rujdkdNBAfjW5YG6Fr1NOKBf0rlkNm7XqOFgNm54IfxIFRl7MkSNHAIQ17tRCu0CY8/ut3/otAGEtMjWfBYSe0WsZ5k0dLrQKWNtJ9TTUmCWtFbVGE0M/9HKo6KlkGCICwho/tCD4flodVDZk6GezWdi2LTF3HjyMyauoDwBCuiJPopGhWsD0HFTrSz20VH4QQ0WcK0Iy1fcFQYBcLie4fLY1oKJUqwKoVQrUkt7E7vP76H7TOqeHxO9uaWkRUAG9gUbngz85F6os8Pnq5YIeRyQSqYGkqtYm15XXoKLj4cTr83upbNRDo1wuC2qQ7+NckHPB67IkjtoGe3U0N17JUwTCvCr/r+4RtTIyEZVq9XNgRQ/lcjlUKhX5Ow00lStFjhhD8KZpCmiBhiFli8YcIe08hFS5YO2+ZvbI/7bRFFqMCp2VeIEVpTk1NSUWBrBiNdEqtiwLHR0dSCQSEl/MZrOSXGMskyVAgBXrjL0bqtUqpqenoes6+vr60NnZKVYd47aPP/64kA8dx8Hhw4drmlJlMhlYloUNGzaIkpqfn8fTTz8tFtr1Dh6IRIWlUikBCpRKJVy6dEmKKkYiEYyOjoprzSoGrMDKKgRMSgMr6BFd1wVBs2nTJoFwO46Da9euoVKpoKOjA+l0Gvfcc4+AIsrlMr72ta9heXkZy8vLMAwDzz33nJTmYTKUyClgJbS5sLCAJ598UqyYRuaCBxwRcjzAbdvG2NiYHB60SHkf9GDJS9C0lWrY9CJoudq2jUKhAMMw0NPTIzwYNWeyefNmibnruo7+/n6USiV87WtfE0XkeR6OHz8uJF2+L5FICPLKsiwsLCzgqaeeakouKpWKINqIDqICY6yasXfyVMicJkqHn6OHQ7kYHBwEEKKJ3v72twMIqyjT8mQs/ud+7ucAhDH9T37ykwBCZj5rifEwZ8923seHPvQhAMAf/dEfSZfMRubC8zxp+U1DilD78fFxqexhmiauXr0qYSnLstDT04NEIiHcHfJPGO1ob28XEqSmadjw/SrtlBsi8fr6+tDe3i4hX9YkfOSRR7C8vCy8l8OHDwtJl55PIpGQtTBNU/RFo/2fiIKkZ1gvF5QDeqz0PLkX2eeH+5UeLnUOUVzM5VEuaNgfP34cQOj5cF3pAf3pn/4pgNAjIZ+G+5j3S2Y/v/eTn/zkq9acayrnwrh4PVKKCvfVrHrVigXCDnFszpROpyU3Qi4HrVOikWiRqB4IYbkc3IjMIzAEQ0uE1jn/MQfUyOBz8BrkW9DC4uvqUK03lbGvosRobTE0yI3Ge2eOh8+u1sMyTVNqi/Ee1W6dasiR16PwcY7J/G9m8BoqX4RhN9UDUOWCB79qkTL8wHXOZDJyMKpzwWsnEgnJ4fAnOUFqjoYkPvZa5/1RzhgOU3kUqxbqjQ+uPeeaoBMalhz1PKl6NCqNA64zS+i7rivhNPJg1FAyc74qB06VR+6RQqEghGfKB+VC1W2rnsv1jYarIsdiMWHGshHWli1bYFmWsL/ZW4W1w1hbjLFvLtLS0pL0/2Dil4qagsXaQpqmYf369QKbZQyVrwOQcMpdd90F13Vx9OhRVCoVbNy4UZoEVSoVHDp0CKVSCXNzc6JwVaLV9QwecsvLy/A8D11dXdI5kkx54uV9369hJ5Obwmqwvr/S/4V8EKK9PM+T0BHDhmQ7Dw4OQtM0scivXr1aUzYnGo2ira0N+/btQ7VaxcmTJ+E4Drq6umRDVioVHDlyROaCXR+brVYwPz+PSqUih8GGDRsQj8elZz3DTMydsYZUsVhEoVCQuZybm0MsFsMtt9wieTc1hMKY+9LSEiKRCG677TbhOxWLRYyNjUHXdakYTeLk9u3b4XkeXnjhBUGDqa0GnnrqKZRKJczPz8NxnJq2043MRSaT+QE+CpnYzDvR2qO3xJpNhO+zJhRj9OQ30FvnGjFkzH4g5LGQNU1P5sCBAwDCmlO//uu/DgD44he/CCDk1dAD+od/+AcAoYU8NDQk3IhG5iISiUgljLa2NiQSCQwODiKRSKBUKok373melNhnrTE1JOr7Pubn5xGPx7F+/XqJkKiES/KrlpeXoWkrnUt1XZd+LJOTk0I9YPi0o6NDEJdHjx6Fbduyh4EVA/jQoUMoFouYnZ1FpVKRw7HRuchkMoIG5DpSLigPlA+i/8hD4uuUD67vm9/8ZgBhjoWHHj0eem9k7lOeyHO6/fbbAYQ8lt/8zd8EEHoulAvK2ec//3kAYfXmjRs3irdTPxquLcYYNlng/GKir+otVCC0rsvlcg2fpZ6nwiQskV9EkRSLRQnlqDkXJvp5YNGqpWWjokXI9VAr4tKLaKbMBwDB0tMrAyAkLcaN6W0xN6AmE2lN04pX2cD1eSCiytgampYdLSouPteAB63KCVGteDVHRKuQ0O9mEre8Jp87CAIpYUPLj/FwDn4XFRo3LNeIQId6S5EeDw9kIuH4LGoMnZ4xPSkixohoMwxDwqj8PPNYjOGvjuYH9YW6R1TDi3Khrh/RYDQquZ8ps/Q0KQfUCfwetlXnnqM3xJwb95Lqoaj6gnuEIWg1usDvX0WL/fDRcFiMm5dhsHw+L3WRuru7BSUErGD2NU2TU3psbAzxeBy7du2CYRi4evWqlLl2XRdHjhyRPEwsFsPQ0BCCIJCe6YVCQfIbLGjIxBuva9s2zpw5I8Q8Egnz+bzkhA4cOABd1/H8888jl8thaWmpKdw6D0cKeLlcltg5sf2MlbJ3TX9/v9RPisViePDBB2GaJmZmZqTYpud5eOaZZ6QvCy0s13WFuV8oFJBIJNDe3o5qtSrxaHqXO3fuhG3bOHbsmMwFN6yu61JpeteuXQiCAMlkEoVCAXNzc00pVFYJ4MYrFot45JFHoGka1q5di5aWFtx0003CV9I0Db29vdA0TXgqDz74IDRNk3wC20M/++yzWFxclPbW9FRplV27dg3pdBqDg4NwHAfZbBau6+LSpUtIJBLYu3cvbNvGuXPnpGUBLdpCoYArV67AMAzs378fmqbh/PnzUmOsmbkgSAQIPYzf/d3fBRCigliFmDkP5mBYzfjXfu3XAIQoIXoc5CfwvpgbIfqLFi2vxzmipcq+Ifxe3h/n/MKFCwDC2lJEC42Pjze8R3iIExJPuXjsscfEi89kMrj55ptln6t75Ny5c4jH43j7298Ow1jp3koZ8H0fhw4dkoMkFouhv79feHIE+LBuGPeIWh5m165dKJfLOHnypICJDMOQYq+socg1O3nypCAzm9EXryQXv/d7vwcgzGU8/PDDAEKeCXNg5B/R46TOpYf1l3/5lwBCJj6vR2Y/82WUC3q6rHb80EMPAQC+9KUv1dzfq8nFo48+CmBFLl4t0tEwQ5/ConIostksfN+XpDYhv2qVWZV/wBbDtOJpgfAfv4tWOBP8c3NzqFQqUvmX1raKJqOnQytF0zTk83nhcqjhlfqaRo0OhvfUWlpMlLLDHt1NFWHHuQFQU/mYh6xahFGtLqBi8RcWFlAul6XyL71JWu0MJxGeTUuL7nKxWJS8DXM2zRLD6vk3/D+T4V1dXUgmk0ilUjW8Hz4fP8e5YGyecqFWqVW9NHomc3NzKJVK6OnpkWQuNzIPTkLaX00u1DXgXNTnCFdH40OtJ8b/M7xGgA3D4czlco9wL9i2Ld4MQ+XkrNC4pKdBWSRIhiRr1qgjChAIq37Uy0WhUBDPm8q6Xi5Wxw8fDaPFWNpd0zQsLCwIYZALb1mW1Ih64YUXpCd5JBIRhvS3v/1txONxYe6zBtng4KCw3n3fx/DwMKrVqtT2OX/+vFTXDYJA2OdUrOyuyLhkIpFAtVrFsWPHpMpppVLB9773PbHiSdRqBopM4bZtW3pIkBjG8t20PI4ePYpyuSw9SNiN8Rvf+Abi8bh05RsfH4fv+1ILbOPGjdA0DRMTEyiXyxgYGBA0GkNHAKRycHt7OxzHwYkTJ1CpVFAsFhEEgfBnTp06JSGBRCIhXR+J0GKjpWbmgvWYKBddXV01ydTBwUH4vi/oPm5eWpaUC/Kmrly5gmq1ijVr1qCvrw/r1q1DEKxUy2aVa9u2pRMqgRyci+XlZWSzWVy5cgXlcllq0PFAPnLkSE1F6ePHj0vcnkqt0bngHmEymTkLorxozNCyZIc/onyIBvrzP/9zAKElSx4L+3IQDUbGNmPz5KtwLhirZ27nC1/4AoCwpS+Rnf/+7/8OIEQFffWrXwUQxvjZP76RQblgb6LZ2VlEo1GpIE59wT1y+PBhlMtl8UbolX/zm99ELBbDnj17kEgkMDk5Kdwx0zQxODiIIFhh6pfLZfT29qJUKuHixYs1iX3KBdn8x44dk8oQBIu4rovjx4/DdV2kUikkEgm8/PLL4glVq9Wm9gjlgsYf5YLzzZAwIx1kxFMuuH7sQErPl57J3XffDWCFMQ+EaDPyW9inhShG5l7q5YJrTLn4t3/7NwCh/H75y18GEMoFI02vNJrqRKliyOvRW3RZVSuWFgUtY8a7abmqZUIikYgsMvHo9DKYu6AnxEKW5XIZrusKGY/uLRnijL8ylMDcD++PcdVm5qJ+ToCw8yLnQuWA1NcU433xuSh8yWRSOnsCELQU8yz1vBl6c0RaFQoFQdcQIaNWoea9stCjyk5udi5UXguvT54ALU4Vpcf8DIlqzM3Ru6WFmclkYBiGtA9mDTG1si1j+4Q3M8ZOD4pywYOfuT7mrshvUPN9zc7F6ggH5YL/mOdS5UJFmJLuoCLJSIalXFBuyG9RkYR8fz1vhvqCBx31Bb0ZoguZ+1S/n54/5ZYs/9Xx2qOhw4XF3lpbW9HS0iIVfxm/7+vrQzKZxOnTp8VqdhwHi4uLAvFrbW2VWj//8z//g3K5LPmJNWvWQNd1LC4uIggCQUxQoOLxuFjX0WgUb37zm1Eul/HYY48hn89LYg5YiT2y3wcrMLNfjFohNAgCLCwsiCV3vYOJxng8jkwmg/7+fpimicXFRUQiESnKeOLECUG9EOFEomAmk8Fdd92FIAjw1FNPwbZtQdSwUizx9Gz5XCqVJBfBasbRaBR33323cDqYmyLsNhaLYe3atVL/q1KpCFKHGzsajQonqVELVdd14biwA6RhrPRLMU0Tvb29SKVSgsYhqnBubk4s2EwmgwceeABBEODRRx9FqVRCf38/WlpasG3bNuj6Sr8fTdOE1T4/Py/PSkPFNE0cOHAA+Xwe3/nOd5DL5ZBOpyVhbBiG8HA6OjqkTweVE8Mhvu9LHqzRuUin01KjiTFu9rCnh8GaXjxAacnycx/72McAAJ/61KcAhPwHMreJRiPaiLFxGiOsWkueC2P75EMw9s98Al/ndWlJE+L//Y6cDc8Fw+SpVAq9vb0wDANLS0swTRM9PT1IpVJ4+eWXRS6q1Srm5+elzUZrayvuueceeJ6Hb33rWyiXy+jq6kImk5HeRwyzsWoBUalETjIM/8Y3vhH5fB6PPvqoNNCjMUOUWiQSEV4VvTXTNGuoFez30+hcpNNp8QgoB1x3ogWZy6CRydwI5eIP/uAPAAB/9md/BiCsUUbUF9Fo+/fvBxDymXhQ8nq/9Eu/BCBk4tMzYW6GqEN6NpQL6lfqy9eSi6Y8F8bEaY2Q50JLm8xwQvaY2+DicKj1tBj/5E81/k2viIfE8vIygiCosX4YkyXaQ43d0lpibFaN+as5nUYHw1Iq/4SVBzgn5Nqo8GrV41GVHsNH5L+obGZaZSwCSfgs3WZ1Dngt1WNS0X2cV3pt9OAY427Wc+E9cC7IPWD1AKJvCHfm/ag1wni/QFhagn+nkuDzsTgn83OUC5VvxHlXvV8VuUQARH19KcrFqudyY4OyRqAH55seJKHoNB6pL7g+3M+qV0w5r8/RUC64RwhzJmmX96FyxoBQYapcPFWWGW2gjKx6tNc3tEYmKRKJBH19fdiyZQtSqRRaWlqE2UwmLdmzmhaW6SAvYWJiQvDlxLvTra1Wq7h06RI8zxMGdiKRQDwel/4xpmnCtm0cP35c4p/0pogGImeCioIJPtM0MTAwAN9fqUnFSgOu62J8fBxnz55FqVRquD/4+vXrkUwm0dnZiXg8joGBAalCYBiGhJ0IcqDLT4uVipBzyFDf2NiYMPZjsZj0G6dXwGscPnwY+XxeFChRaxcvXpT4NZUzNyLzIZ63Ug1ZTZBfuXKFqJyG5qKrq0uegTkMerKUC4bkVAi04ziYnZ2Vagf0sizLkl4z586dg+d56O7ulooI6XQaW7ZsqeEMPfHEE2LFUkFUq1VMTU3VFAlVIdKxWAzr169HEAS4ePEibNsWHsTo6Ch7zzQ0F5lMRmLfZMbTkiTbnIYDGdIEWtCSpTVIngFDxN/97ncBhJYma4sxB0NFyRwKPRS+nzkZzhNzMjSw6BXyewhIGR4eZq2vhuViw4YNsifi8XjN+tLIIf+Ec8MOkkSOco9YliXleYaHh+F5Htrb24X3kkgkhD9FmPvzzz+PbDYrBxWrHp8/f15ytKoxwfpjvb298H0fly5dgm3bEoqdnJzE1NRUU3LBnEq9XDDXRjkgb4W/s0Yc1+ltb3tbzfpwXekpU64oFzxIKRf0jOj5sOMl+Tb0YPh99bkcGrvDw8OYnp5GpVL5gblomOdCCwKAWLuMlaoVivke5j40TZPcCHMRavyViTaGZBifVfko/D/RYLTw1fiq6gkRLURPi94AhRdAw+6tOvidqkDyd3ayU+eOBy5zK2p1Aj4rPTyGAlWWMfNUKpOZc0GPqR71RSuQbHM1/0HPhTyUZuuK8fk46BECqImhMwzB9zOMyb+rPWtUJCE3P2WCc6yizfi+Uqkk38NDmGtFY4eeCT0qXovNqOjdrI4bH6pcqEjC+vwj5YLeP2WWhiHfp/ZqYg8jki9VT5c6gXukVCrV9BpSIeY8iMiXU6tscI+woyn33+r44aOhw8U0TeFbsERLpVLByMiIhK4sy5L6NWfPnoVhGHjDG94gFkAkEsGDDz4Iy7Jw5swZ+L6PtWvXilIjkoqWDj9XKpWEl3D69GlEIhHcf//9ACA1oBg7ZbtSoqS2bNkCx3HwzDPPIJfLSUiP/UWaGQwHUmknEgmUy2WpyAqsnO67du2CaZo4f/48dF3H5s2boWma9DT5wAc+IJWbgyDAxo0b4fu+WCzJZBKZTAadnZ3wfR8vvPCCwCYLhQIOHz4MwzDw1re+Fbqu49ixYygWi5KEVImnsVgMmzdvRrVaxdGjR8XjiUajEkduBmrJZKjaQtlxHIyMjMAwDPFUWbF3eHhY5ELXdYyMjCAWi+Ghhx6CZVk4efKkY2BoVQAAIABJREFU5K6ojHR9pdYTId6e5+Hll19GsVjEwsICcrmccIfe9a53Qdd1PPHEE5KzouySxBuNRrFjxw44joNDhw4hn89LLo6cB9VIut5BlJMKSQfCarREi7H20ze+8Q0AIc+AFug//uM/AghzM8y10OKkx8K8JC1Swr+JImNM/e/+7u8AhCFHejKMqbMTIXk0jPGTJ9MMcZByQUAPK3azgkIkEhG5CIJA5GLfvn0wDEPq833oQx9CPB7H2bNnMTc3h6GhoZpwdiaTQTqdRnd3NzzPw4kTJyRZn8/ncezYMUQiETzwwAPQdR2HDh1CoVAQYA8PJ3pJ3CMvvviiyAXRqYzKNCMXnZ2dwmavlwvqDMoF+UWsmkz+ExnylBt6mjSGuG6Ui//4j/8AEOb2KF8f/ehHa67HQeQeUWz33XcfAOBzn/scgLBUDuXitagcDXsuVEb1SS4+HNFftBB42qv1tGhpqox+xujV2CYth3w+j2KxKHBXhsPUoplEhOi6Lr1USOqjkiIsksJBS7XZelpqPgcIe6/wJ/NHr8RC5vzQK2P4gp4YD0fV2iPCpVAoCLKFVhpzC/REgNBrZHhItcjUz9JSZ9iomcEwFA8yzictP94bFbaKymIMns+q1vSiJQuE/Tg4hwsLC5K8JSyc0FOixxzHEe+NVQsIYKBnRA4E74vXaxTYsDp+cKh7hPtCrSyh6gvuEcqmmqslEpJrz9wN/6Zy5ZaXlwUqq/LFGEFRUZnUOwx50WvmNdU8DOVkFSl2faOhw4UKmpV+udiMqdNKnJmZQSaTkW6K7Ox35513wnVdPPnkkxJjT6fTUrZl8+bN0l8BQI2FHo1GsWvXLinvoGma8F06OzsRiUSkSCXRRcPDwygUCjh06BBs265hZ/v+Sm8F8h8a9WC4OZhrocCT80PFPTU1hUQigd27d8M0TczNzcHzPNx+++3wPA/f/e53RekyhxWNRjE0NIRisYipqakauLamrbT9pXVFpFNra6uUwFGTl+xEx2c9duwYKpWKIHOouFl/iSGqZuaCNaGy2Sx0XceG7/frYK2nubk5Ycxr2goT3/f9mm6aDI9RLmKxGHbv3o1isShVDoisWVhYgGma8nl6CwyvsWUD56Wvrw+6rkue6dChQ6hUKoLkMwyjpp5VM4ctwzC33norgDC3wVg4Y9lkRn/wgx8EEFqwRPEQJcYqukQZkedCz4R7jvf5nve8B0CYS2EegzF+DsbQX3zxRQBhLSlauMzxEDByI3ukt7dX8hy8F+YGdV3H9PQ0kskkbrnlFmHie56HO++8E57n4dvf/rbkCkm8jEaj2LJli9SS0zRNDpRyuSzcMeZugBWPmh4UjTjWKtN1XbhkrD3HPUIkJasnNyMXjEbQA+W60VNgpIKVFD7wgQ/UrM9HPvIRAGH1YlY94breeeedAMKOk/VVmx988EEAIb+FuRp6OvSc6AmxivI///M/y5wCYa6F/WBeSy4aRovxNKcloMb4KUyqh6CilxKJhPTW8DxPelirvbJpwdDi5edUmDH7y9OKobXBGC6vxfgsmxWp1k09SqpRz0W1mFTuhYpqUeeL8WLOF0uD874YqqFyV+9HzeGwTha/g22PeT/8Dq4FEHoVLI1Cb60eFaWymxudC647w5r1bGaVdMo8G//OkBpzbgxrqrBoVcZYMkhtREe5AGqrdtMIUr1nejLLy8syF5QFdS5UD2x1ND7q5YJGJD0UvkeVC+5ZyoXjOCIXRB+qxW9V+SqXyzBN8wd6JLW0tNSsKWWA3inXmDpE3SOUP7XGWDN75H/jaAgtFo/HA2LJu7q68PDDD8OyLIyOjgrTlagsFe3F+O7o6KiEsKLRqDD5z507J7wW9n4AIMn/3t5eeN5KH45qtSpMfrq34+PjyGazOHv2LIAVzHg6ncbAwAByuRweffRRLC0tCT9kenpahIW9Ub6PqmoYLWaaJtra2vD2t78dlmVJ/SMewG1tbcKpSCaT2Lx5M3zfx7lz5ySpb1kW9u7dC9/38dJLLwlrnF0XCfMmm911XZw4cQKO46C7u1uswHK5jCtXrqBQKAivgl0f0+k0isUinnzySWSzWUnqsw4XN/nS0hLDUtc9F5FIJOjs7ISmaejo6MB73vMexGIxXL58WTwA0zSFX0LmM615dgqlxblnzx74vo8jR46Ip0wUkGmayOVyiMfj2Lx5M1zXxbPPPgvHcbB27Vo5eB3HEbmgfA0ODkqtqVKphCeffFKqRwRBILWngJUDiuVDmpkLor0+8YlPAACef/55ACEKjDFtHoiMbT/99NM11yPfgNWLyY8g85rhHeY5/+Vf/gVAmENhbJyWJmP3RBHxc5/5zGdq7oe8BrXSwPeVesNzwXzZu971LsTjcUxOTkr4ljnSWCyG1tbWGrk4f/68eAms3BAEgTDou7q6pK8Pw71EKbruSpVjx3EEPcYDY3x8HLlcTro+btiwQeSCqMOlpSWpzMxcC8P/DMc2MhfRaLRGLv7wD/8QQOix0jOgJ0MdyKrHlAsaWffccw+AMKdCHlS9XDDPSc+0vjo3a9c9++yzAMLKEbwOPWh6zkQzUi6o019pLpqqLUalruYRgLDkved5NWgnehK2bUtyT4WmAmE4gW4rFQQQIk6Yd1FfMwxDQgfMHbBaMpm6qodBr4VWbDPJOXU+6uOyHLFYTEIyLBmhopCodHmfamxZrX+kVlGm4guCsOc9556eGss7cE65gfk650CdF/5+I4PXpVfBtQ2CQColcO7z+bz8jVwEenDqXKiIODWvxPAK5a9UKomscE2DIEAmk5E5U9ego6ND3kNvT81vcQPf6JysjrDfEQESzLcAeFW5oE5g10deR+1/xBwMAPFE6hu7kT8DhLLC0Bq9Hu41lSNHOaCHUo+CXZWL6xtNHS6s1Ds2NgbLsmAYBtrb27Ft2zapzcN2vPF4XBKs5BsQLtrW1iaVgx3HwfHjx2vcXSKveDhxUc+cOYNkMondu3eLZ5TP5zE6Oorl5WUsLi6iVCoJHp7xYyoaFjKkRXIjpdVJ2Lp27ZpUNE4kEtiyZQuCIJA+KoQLUziXlpZg2zay2az0jc9kMti9ezfK5TLOnDmDUqmEgYEBVKtVnDlzBsAKGkjli1y4cAGWZUnvE8dxsLy8jOnpaeRyOWmXzDBAS0uLwDyBsNEa0XY3snkIqx4bG5OGXW1tbdi0aZOgeGiUULGocpHL5WBZVo1c2LaNEydOoFgsor+/H7quS2Vohj4Ydr18+TLS6TTuuOMO4cssLy9jYmIC2WxW+C0tLS1SO4pywXXjWjWLnANWPG7yDFgTjJbeO97xDgDAf/3XfwEIcxvME9HjZHVj8h/qq+UygsBquTS6eD2igt7//vcDCC1S9okhg5/oH34P5YKWKt/HkFEjQzU6Y7EYJicnJT/JPlCe5+HkyZPS0puhM+bkmB+Mx+Nob29HS0sL9u3bB9u2pZpxT08PNE2TnBxD8jyILly4gEQigf379wuvKZ/P4+rVq8hmsygUCmIIu64r3huNv3Q6LeEyGh+NygUjA+Q5HTt2DEBYUYE5EVYlVss+ASGznpUYuP7MsbFGHV8nT0mtswisIGuBUJ7oudKLo4fLOaCHzbwV5YW5G3IUX2k0VXKfijifz8N1XbEoGQ4qlUqwbVsSaKonQUuACTgWHKTiJ2KH1nYQrLTFVXkKDF/wegypsP8HrXpaHLRs1Pg9LfYbRX5wLuhZ8N5phbMIIpFwnAtuPG5Ykry6urpqEFVUnJyjhYWFGqScSg7joVEqlQSZRyQcn1et4cX55ro2Oxeq9wSEHibzbVTeDJ0yPElgBteRVmqhUJDYOa1N3quu62I0zM3NSVLWNE0sLS3VKJVyuYxCoSA8J3qstEgpF2puSkW7raKCXp/BOa3vMMq1oBdP9Fc+n69ZR3qqhM4z/0olTzljMVjKBaMHCwsLci0AQpwkgZkHKvcsc7/Myah75PXQGf9bRsOHCzcmY5fRaFS8l4mJCQTBSu0dVgQ2TVM6RnZ2dsLzPGHQT09PY35+HufOnZOquezBnkgkcPfdd6NQKOCzn/0sHMfBT/zET0DTNHzzm9/E0tISZmdnUa1W8cgjj6BSqWBwcBBtbW0SegNCUmV9IpCCwkOo2SQ2obPsa8CDdmZmBp630lUxmUxi06ZNiMVimJ+fBwBh3LNL38WLFyU3wwrStOLT6TRuvfVWlEol/PVf/zUcx8E73/lOaJomyKelpSU4joMvf/nLKJfLGBwcREtLi/S2ILOf91gqlQSFxk2lrm+jQz1M2Z8lmUzWoH9mZ2cRj8exZcsWmKYpVhj5CXyGqakpzM/P4+rVq5JbYQWIRCKBO+64A4VCAZ/+9KfheR4++MEPQtM0fPWrX8XS0hJGRkZQrVbx9a9/HaVSCZs3b0Z7ezump6dFOahGBxO3lAWOZhL6aqgUCDtB0hKkhUi+A6vbsh8LLUkypWnhMp9Y30v94x//OADg3e9+N4Cwau5nP/tZAKEnxA6D7OdCtBrvk5YtLV0VGg+g6VI4nG/btjEyMiL5Q8pFEASYmZlBIpHApk2bEI1GMT09DV3XpTo6IwzkQzFawJp1nZ2dSKVSuP3221EoFPAXf/EXcBwH733ve6HrOh5//HHk83lWGMBXvvIV2LaNoaEhpNPpmpwKwS8sV0Rj+EYT+pQLWvmsZsx5p0dJuaDHyXViDoS5Eubw+Hky/YkiY66PcvEnf/InAIC/+qu/AhCiANkf5r3vfW/NfamhSyDM9fCg599fC5rdcFiMP8mIJicgEolIWIVusKqAiXQKgkB+0rIg4Y+FIOtRYFwUsnQZymHlX1oYak0txnmB0CLlvdOSvtHBazHuTy4HvTiGf1ill0JKBBzngNYceTF0xePxuChCFQXGXIlpmuIREUpMFFx93oJKU90UvPbrYYnxe+g9cbPSAgQg5W1olfK5ORckR6qeMC1Vut9cZ3qHRCayVhX7c1AueIjUy4VqfKj3v4oCen0H51zVF5Rd7h2CeNSDWZULVrEm0oxgmVgsJjBhlRdDQ4HyyLxvoVCQSAKvp95jfXiHr6t7ZDXfcv2jYRIlk8maptXkVWh5ZDIZ6SB58eJFeN5K7Z9MJoOtW7cKVFXTtBpUiOd5krMYHR0VpIbruhgcHJTaYbRcXdfF2bNnEQQB3v3ud0vsnlwWosCAsAQ3lTITfQy58DRudNCDY+8P9YDs7OxEJpPBpk2b4Ps+Ll++jGq1inQ6jZaWFkG8UdFt2LABmqaJxUpoM70APldfX59027QsS/gyL730ElzXlS6bLAtDVB2tRBWnT+KkGpJsdvOQlKrC0Fmpetu2bUin0yIX9CxisRjS6TTWrVsnh6Gmadi2bZvwo7h+5DOwsoLjOFLh+dlnn4VlWdi/f7/kXjzPk86WS0tLEsJllW4AgpJT4em05DkXzcyHruvCW2DIhTFr8lQY8yYTm7Ft/p3G0G233QYg5B3QkqTlyuuynwdzOR/+8IcBhH1BiPqhB0RlyV7olAE+P+9fLcvSrGwwz8YcBqMdRHUSTXrp0iXJhSWTSWzcuFHkAoBUt2BegIbn8PBwDXS9v79fcnXcI77vSy+jgwcPChS9UCiIUcc8gkpTYJkZGs4EBjQrF+Sf0ENkLo5VjX/0R38UQLhunBv+nd9LuSAvhuiyw4cPAwjXj6hBXu9nf/ZnAYR9WciboYfEwc6TKhQbCCtAUC5eK//UdD+XV7qgav2pXkv9ya96QLxRhq/4d6JHAIhCZa9zWjBU6O3t7dA0DSMjI1IDiDF8/uQBoHo69dbrjQwqRg71uZnMoyX9SuEWfp45LYYOqPxJROzr60OlUsHc3JxY7ACkhD5zNouLi0JS43WYDyMMVHX1+e/1tMxeLYzw/7D35UGS1vX5T99393TP9NyzM7uzF7CCHCtyQ1AhqBi1UkpUoiZGK7E0xiSWJjHqL4lXShJjRVNelAkGLwqiqAWILAospwsLLAt7zNkz0z193+f7+2PzfPrb73bPzrk7mPep2tqd2T7e9/t+j8/xfJ4PLUtWQquvByBxbzUvxOuq1+tyOAwMDIgaMuteeIACTfG/hYUF2eAoJsp5QXoq83PqWBhYH3TaK9R9QT3kO+U1OD85L1QijlpEyzXCMCvFTVn03dvbC4vFIp1tOdcY4qEBpqp3GHNi5Vjx4UJtJrUgkOGtWCyGeDyOhYUFOBwO9Pf3w2QyYXFxEZlMRg6B559/HrVaTTwUtgP2+XwS3iiVSpiYmIDP58N1110HTdOwb98+ZLNZxGIxkdJmlX+tVsNzzz2HbDYrVuD09DRyuRwmJyclZAQ0+0yr8cLVbKr0VOiO01U3mUyYm5tDNBrFwsICnE6nMFpoXR09ehQWiwWTk5OShCSV2O/3t1Q1U9nX5/Ph+uuvh6ZpeOCBB5BIJDA1NYVCoYBkMgmn04ktW7agWq3ijjvuQDweR39/P2w2G2ZmZpDP5yXurMr1mM1msdZWOxYAJMfCRc+Db3Z2FvPz84hEInA4HFIkyXoB1lTQcmX/H5fLJSETh8OBQCCAcrmM48ePw+fzSb7if/7nf5DNZuVAnZqagsvlQl9fH+r1Op577jnE43EMDw9D0zTMzMwgl8tJzo6eK61kHrqrHYdGoyGsGrJ9GBtnboW5F1bycwxY98DKbNYV8KBk3xWyjvi6v/mbvwHQ1AZ78cUXW95Pi/WTn/wkgKaHRI+IqrscCzLpqDCgiqGuFMzJMtypzguLxSK5Ne4XVEw4cuQITCaTqB/Pz89LJ1qfz4dwOAy73Y5QKIRSqYTZ2VkEAgG84Q1vgKZpuO+++5BMJjEzMyOdMKksXqud6MqaSCRkrUUiEWSzWczNzYmXq947DZC1lC6wIp7zgh4H5wU9SXomVCvhvODf9OqpwEGNOM4L5vo+9rGPAWhqiNFzZc6Fqsif+MQnADQ9YM4LzlP9vKDntRTLdlVUZFp43Jj4BbyAQqEg1EHGzjVNE4uTfHaXywWXy4VAICD9F/jwuOGpCVY2IGMIhtYEWSj5fF66UeorgNXCRl6/ymVfjVWit2jU+D2vm0wxjgXdaybuWH2sKgLz8FOvSZ9UZM0Q0CyY4r8pdZPJZKSmg39U6xCA5CJU9t16jAXHQ2X7kO4ZCARaYue0OBm6IjMuEAhIGAiAMIzUWh3WXbFxmqo8QE83nU6LlIf6jJizUVmEQLNmx7BU146lrH7OC/Z+UvcLoCmVwzXCDZmsUH4+57ZKzmk0GlInQ0IBX8+cYC6XQyaTAQuACXrWnJ9qvs6YF8vHiir0rVarxoPAZrOJpcqaBj4EVR2XvUhotXMyuFwujI2NIRQKYe/evbDZbIhEImg0GpLY5Qbc1dWFQqGAxx57DJVKRTpg8kHTlT106JCEgmihNBpNVWU1NFStVmXScvLVV1ChbzabNVX+xuVytVjrBO/X5/NJ/3ASAEhQIOc/GAzi/PPPb1EpBk5MdsY6fT4fSqUSDhw4gHq9LjpvqpRLoVDAM888g0KhIKQI9qbgGPH16uLjeP6vMbDssbBYLBoVBMxms1CIuQGohzmfvcPhEG+OPWfq9RMy+OPj4wgGg9i7dy9cLpc8J+aoYrGYVGMXi0XJN7GCXz8vnn32WaFnO51OjI2NodFo4Nlnn5WxoEHA+cHx+d/DbFXzAmjWi3Be6Fk3jLlv374dQNNSJbuMmlFUx6VHwkOXGzA/j/02WLHNDZmeEWPrNH6odcV6GX1snbF75uhWOi9Yt8IEvSoHpRI7uEYcDodEONRWC1S3CAaDUtOVTCYlhNpoNJBMJqFpJ2poCoWCVPLTe1dzbMViUdYI9zCqs7PGjHsD9w113ax2XnBN0LNVa7WApqHIeUEdPXqWfB/nxY033ggAOHToEICT5wX3EM4Lss74ffRgyBLj68k+47zg77knL2derKrORWUCqb0WOFC8ENY7UECQD58bLV1PWir6cA3rIWKxmMTRVVFIWr8Mh9DzKZVKqNVq4oKqIHNF9cBWQznlWHAjUz0gNS7Myc+x4MNn10TqJfEh0bpWWS0mk0mqzaPRqHhq6rOgV8Kx4PXwgFFzCvrxUD2W1TDH+F6yfMiUA5r5EvWzef3qRqYSOjgOVDRmyI65EhbBLi4uSktik8nUMncajQYWFxfFSuVBwwNYb03rvfK1eHEGToDjqM5VNTqheooApJiRoSLuFyzO5ZxgnZxeQJLtrrlGdMaSzIt4PC5rhIeHOi/096B69ca8WD5W7LmwsJH5Bi5qNQmtitMxDwE0K167urrEQlE7Fg4MDAA4weX2eDx47WtfC03T8LOf/QyFQgEjIyMwmUySiGOxZiQSQalUkvoZWuPFYlE2vXq9LpaQfrIrVvuKLBFaoyy6kkE1tXbh5AbLMWLIj7Rtl8uF3t5eeDweDA4Owuv1Six1cXERPp8Pb3zjG9FoNPCd73wHmUxGxmpxcVHE/ajoqyYzWW2uJkrVBaUejqrbv9KxoJw50LTSSRtmTk49cFTPhpYrhSiDwWDLWDCePDs7C7fbjde+9rVoNBq4++67USgUQP0qqgzQS52enhYiiHq46O+Z84CbC8dIIX6seCwIzguG3ijDw9+ryWmOBdD0eJhroeYU61zI5vnoRz8KoFnXQLVjakax0p+5F8bKaYHqcyo04mjwceMn6221Y6ESduiNcM6oRcMsiuU1qB5Nd3c3vF6v1LcMDQ3BZDIhGo3C6/XihhtuQL1exw9/+EPkcjnxjOPxuIjElstlRKNR6fVCWSD1cOE6YIhV/3sap2uZF/rnzQOVeyXXEn/m8zjVvKBn+5d/+ZcAgE996lMAmp4I5w09G+ZuSJ5iiJrzg/OU84bXwfmshBvX7rkATWtcpS+y+Ei9ID4QWqjcbNSHR/eXr6dFYrfbW2plGC4jE4pWiPrAgeZD4WbCOgduKjxY1tPy0NeKMBfAMKH6OnVz4z3TKqeHo76fE5m1MvyjqkRzAah/CG6gZMqotTLt2FFrGRfVg1K/W2UBql4Mnxnvlf8mC5BjQe+Nnoyan9M0TUKSdNXVOaFatrxGGhOcp3rvjc/QwPpBDYuqhoxeUZ20YKA5L9T9wmKxtCh+8PX1er2lLowhVh5aNDLVCIE611XPWO03s95r5P8SVuS5mEymGIDJjbucM4pRTdPCy32xMRZNGGPRhDEWTRhj0cT/xbFY0eFiwIABAwYMLAerkwI2YMCAAQMGloBxuBgwYMCAgXWHcbgYMGDAgIF1h3G4GDBgwICBdYdxuBgwYMCAgXWHcbgYMGDAgIF1h3G4GDBgwICBdYdxuBgwYMCAgXWHcbgYMGDAgIF1x0rbHK+qnJ86TaoWlsVigd/vF80otpkFToi6Wa1W2O12aJqGXC7X0oNE/SxK1qsaRBTfoxgcBSz5edQQ0mMlQnQmk0kzm83w+XwtXeyoi6T2k9H/rFfj1V3DSWNH0T+r1Sp6SdRqymQyLbpmVJylblY7pVcVqqbXWsZC/ZnClfqe5GsFdajUeXA6sJqxOO+88wBAWucuLi4CaI4NnwnnqDqfgaaAIO+Vr+dz4usozU4FcApMsmkUJfwplMimZWwBTjFFChCqopHq39TnW4nMvMlk0hwOhzSkmp6ebmmrrfZJ4T3pFcX1iuN8n/Id0vKDY0v9QCq2qwrIVEdWVZn5+k5rVl1vqj7eauaF2k9oKaiaa+r7eE16ocuFhYXlXsqGoN1YrFRbrGWAlEFu91r5N3uecMMrl8twu924/PLL4XQ6MT8/j1KphGQyCavVirPOOgsejwc9PT0olUr4xS9+gXQ6LYcMP9Pv98Pr9eLiiy+G3W5HLpdDKpXC448/DpPJhL1798JsNuPAgQOoVqvo6+uDpmmYmJiQZmOnGqClxsLr9eJVr3oV7HY7pqamUCwWRUqfSsDc6IPBoMh9U8wRaPbPoEhnNpttEba02WxwOBwYHR1FOBzGBRdcALvdjlQqhWQyiZ///OfSB5wHp9lsRnd3NwBIO+R2ont6xWou8tUuHODEoqByazKZFLFC/Xe3A/t8cCxoFPBaqSicyWRkjHntS332cr+/E1Y6FlTqBZq967/+9a8DaHYOZP8Vdhzk2mC/jjvvvBNAs28GN3kaThyLc889FwDwjne8A0CzX8v73/9+AMAf//EfAwDGxsYAAOeffz4A4DOf+QwAYM+ePQCa/UB27doFoNnng/cRCoWQSCRQrVZXNBbj4+P4yle+AovFgk996lOYmJgQEVUeZBSkDIfD0hCO6sjVahVzc3PSBAxobepmt9sxNjYGn8+HwcFBqErlDocDxWIRv/rVr5DJZMQQYz+qQCAgrRm0/+0DQ/FYALKGeUilUqkWscyVHrTAyWrInVpccA3xufO+aBxw3lAV+Utf+hKAU8/xdsZru//vtGY4T9sIwq6PKvJy1EH1iqPAiX4LFosFTqcTmqbhoYcegtVqxdDQEMLhMN70pjehp6cHO3fulB4kkUgETz75JAqFgmzQ+XweXq8X119/Pbq6utDV1YVqtSrtUDkwtEjy+bxI8quDxP9fDajuyjazVC8mSqUSnE4nxsfH0dPTgz179qBareLOO+9EuVzG+Pg4bDabHKjbtm1DrVbDo48+2tJC1Gq1wuPxYGxsDIODg7jhhhtgsVjwwAMPtDS3Uu/DZDKJxdyp/4Sqxsz30FhYC9Qmb3qreynwUPJ6vTjnnHNQqVTw8MMPy1ioDdO4qXBhHTlypKVjqR6nUz+PnnR/fz+A5uZBS5NS+B/84AcBNJs+/eM//iOAZttZbi48TOiJcGO94IILAAB/+Id/CAC49tprW77vRz/6EYCmNPvw8DAA4Gtf+xqApgVMKX56PGyPq2/TvLi4uOJeP1arFcViER/60IdQq9WwsLBwUmdZq9WKnp4eBINBXHrppWg0GvjlL38Ji8WC173udbBYLHjkkUeQzWalBxTbELO1eCqVQr0qCD1oAAAgAElEQVRelzXylre8BR6PB+l0GnNzczh8+DCKxaIcEmyxkM1mZR3wOjjmahdcvRexln1DP0/1mzgPD441N3EaKWxPffbZZwMAfu/3fq/l8zodBqfy9k91qBAriRqs6nBZKVTJarqfDIOZTCZ0d3djYGAA27dvR19fH3p7e8WCKJVK6OnpEXl+ymXb7XZ4PB6RoldDMHS12adBldtX3eH1uC9a13SXVZddlbanVT42NoZKpYLBwUFYLBZphDQ4OIh6vY6tW7cinU6LK1+r1eB0OuHxeODz+cS6YuiQHiEfutrUqN316i0Vvm6pXtgrxXqErfQhCaDVyjObzfIc1a6GBjYPuF4nJydlHRB8Zmr0g6GssbEx6fNkMpkwMjKCUqkkrRYCgQAKhQKSyaS0I+YmbLVa0d3dLe05KpUKent7WzzAQqEg3S2BE4fcUvO/Tch4vYfqtxKrOlxWGmbgJptOp1s2xmAwiKGhIdx0000YHx/HWWedBYfDIZOFPRuuuOIK5HI5WK1WZLNZ3HPPPS19OSKRCCqVCthelm1MDx48CE3TWlxq9nVYKzRNawk36TtPut1umM1mTE1NIRqNwmw2Y2hoCJ/5zGfgcrkwOTkpPd4dDge2b98Os9mM6667DplMBs888wySySQOHjwIu92O0dFRaVVcr9dhs9ngcrkklMCFHIvFWnqVqCG2pTbgM71gGHZgX3NNa7bLJtRwbKPRkJANDYb1eK5rBWP8gUAAQDMnQq+LG9pdd90lrweA973vfQCArVu3AmiGpWZnZwEAb3/72wEAR48eBdD0SHbs2AGgtUEbAFxzzTUAms2gvvrVrwJohr14Pczt6GP5/P1a+trUajXpMgqgpU+K2WyW9uepVArpdBqlUgk7d+7Exz/+cQSDQVnfbM3r9/ul+20qlcLXv/51zMzMSJib+Ryv1wuXy4V8Pg+fz4crrrgCZ599NhYWFpDL5fD444/DYrHg6quvhqZpuP/++5HL5ZBIJKSHi5rfZPNBtevreq0X/efQU+W40+NkE7Bf/epXAIC/+qu/AtB8Xp2uh2uiUx603f61nOtdzhlwWjwXXoRqxRPMJ/T19cHj8UifdFqm7Fintlbu6elBo9GQmG0ul5PWxmwQxkW+0dCTFZhjYVOr3t7elvyL3++Hx+ORLppsfdzV1QWr1Qqv14tisYhMJgOfz4dMJgOz2YxwOIzu7m7Jrfj9fuRyOUnkVioVlEolWcCcLFzYnTYJ9dBdr9BYOzCmDkAOQP11sLEcJ7i+ARs7nXKToQesdgLlPDOwOaCGqYGmIaDv3KoSezweD7xeL2w2mzT9slgs8Pl8QvRxuVzo6elBsVjE9PR0SyM+dj1ldGPbtm3o6uqC2+1GMpnEsWPHJLRar9dht9uljbIaZWBIkAQgrhG28jawNNaUc1nt++iGmkwmVKtVbNu2TTZhbs42mw3pdBqNRgORSASxWAxzc3OwWq244IIL4Pf7MTg4iGKxiMnJSWQyGRw6dAjlchnVahUWi6XFat8IcFOj18CNz2KxwOVyYffu3fiHf/gHOJ1OfO9730OpVMKRI0fQ1dWFYDCIQCAgsWO32w2HwwGv1wtN0xAOh1Eul3HFFVcAOJFQ5aGlaRouvPBCbN++Hel0GgsLC3jxxReRTqeRTqfFU9OHIfTPol0uhof7eiMcDuOv//qv0Wg08MUvfrGF3aI/oPVdRZm837VrF4aGhnDVVVfBarXi0KFDSCaTeOihh1AsFuFyuSRBeyYPGIvFIrF1to/du3cvgGabWSb4ydpim1qGb2iAXX311QCAkZERAJD21uphqr5PH7tnG2N6Kvv37wfQJBRwXvj9fgAn58lUVhvzXysB1wc9fZPJhGAwCJPJJPnGcDgMr9eLkZERBINBHDhwAIODg9izZw+cTqe0TVe7rzocDlx++eV46aWXcOzYMeTzefFeaFx1d3cjFAqhr68PtVoNqVQK8Xgc1WoVi4uLmJqaEnKRxWKRhD8jIMFgENVqFalUSp6nzWZDd3e3tI/eKNBwnpmZAQD867/+K4Dm8/rZz34GADh27BiAJiGDf+vnAT0Xzkd9OLyTR9LJQ1lONOS0eS68EKC5sTE/wNwBLRjmLmw2G5xOJ7xeL7LZrLCiaKWUSiWUy2XJw7BH9nrlVFZyT2oMmWGukZEReDwe2O129PX1oVgswuFwyOHJe+bP/ANALDeGCJm8J9uE300rzu/3Q9M0+Hw+lEol8eToyZzKjVX7mG8UOh1o7V7TDhaLpWWeMLzKnw1sLnA+0dtuF5JRvQG3293Smthms8kzVg05TdNgs9nQ39+PQqGAvr4+JJPJljXFz+Tnk13aaDTQ398vhBwSZmq1Gubn51Eul1EoFFqunfdClpnqdRnojNM6SmriVQ1lMDzEyQOc2Ei6u7vh8/nw5je/GdPT05iYmMDs7CzuvfdeWK1WhEIhaJqGeDyOYrEop7E+z0CspxfTLoTEPNDAwAA+8YlPwOPxiIVx6aWXwufzSSyeCXvet9vtbrl/WmmVSgWJRAJ33303NE3DlVdeCZfLhWg0imw2K3Tf8fFx1Ot1DA8PI5vN4umnnxYSBAAJN5FybLFY5HBnyIke2HrDbDYjHo/ji1/8IgAgHo+3fV27UBlRq9UwOzuLxcVFHDlyBC6XC729vahWq8LsyeVyYnicKZjNZrhcLnnOtDzJwmJo8A/+4A8AAD/84Q/lfcDJFFV6HBwLGhf8/5deeglAMzZP9uLTTz8NoMkCo8FFj0Vfz8J5ws9lSIgU5lQqJczClcBqtcLpdIoxSDYhN3WLxYJUKoVqtYpXvOIV6O3txd69eyWMRYNCNXp48OzZswfDw8OIRqNYXFxEuVyWHKTK8GI4nvTj17zmNchms5LH2LVrF2q1Gp555hksLi5i//79SKfT4gnxkBsbG4PJZFoVc47olPvQ5zw41vo9i68jm4/sQ3q+L7zwQsv7+Ly3bNkCoDmf9MZmJ4rySqnNKk7b4aL3Sux2O3p6ejA0NNQyEdSLZWyWBxEXVjqdloSvxWJBuVw+KWnP79xI0EpSrzUQCKCvrw/d3d1wuVwymQKBADwejyR4SVjQx6Q5BvRWyuWyJLlZJ+N2u5HNZpHP52VjZZLbYrFIeI1eDb+nWq0iGo1KeIJeoGr5r3bREOozVusETCaTHKjtJuRyJjFDEy6XC7VaTQgRHDM9I0kPzrve3l5omiaUVgMbBxowQKtBpkYsSN/2+/3w+/0SIqYx2g70XD0eD4aHh+FwOJDP59HT03NSkaX63TRKOYcsFguGhoaEmuxwOCQnqtZ+qddhzJnl4bT7d2odwM0334ydO3ciHA6LJaU+TG5+v/71rzE1NQWn04ne3l7Mz8/LpkI2h1pnom5wADYk90ILtVKpwGq1oqurC93d3bjqqqswPDws1tXb3va2lkVCb83n80nIS9NOFE/abDZ4PB7U63UcO3YM2WwWk5OTyOVyGBwcRK1Ww8TEBKxWK3w+HxqNBnK5HHK5HI4dO4Z6vQ6/3w+Xy4XzzjsPTqcTIyMjYklnMhncdttt4jk0Gg0hQHDBnCps1QlqeJAH6e7du+Hz+SSen8/nkclk8NBDD0ltznK/j16Xz+fDm970JlitVtx3331YXFyExWKB3W5f0rI2m83w+/0YHR3Fpz/9adRqNXzkIx8Rz0LFWuYKnwkPwt7eXgBND4LX+Pu///sAmpX7/E56Hs8//zwA4G1vexuA5obGmDk/h3mQe++9FwCkeJZsMxZj8v18FjTUOBeYmyH4PGkZOxyOFXuENABpzPA7Sdax2Wzw+XzYu3cvuru7cckllyAcDsNut7dYzly/+pAtQ1Xnn38+KpWKFByznoXGn91uFyPKYrFgcHAQQLMAka/3er2IRqM4cOAAarUaksmkPMdKpSJj0Ynqvxws932d5iDZYQ8++CAASD0Vi3P1n899dXp6elmfv9z/Xw5Oe86FFi0PmHA4LNZMO1eNDzmTyaBarYp1qg4if8fPXwldbi33YrPZZBIz7xEOh9HT0yMWGSnJqiwMQzfValV4+mS58HcLCwtIpVJYWFiQ3JKmabLwGMaiV1IoFIRlV6vVpAiPC87tdqNWq0m8OZ/PS65KlcZgcelaxoVwOBxwuVwYGhqC2WzG4uKihEPq9fopK+v14HPnRjMwMAC73Y6XXnppWZ9DYsDQ0FALC0lVJjCwviCxhh4s1z/XjM/nE4JLMBhsKSJUWaOqEaJ6I/RGuR55gOk9FjX3o09iqzIwjUYDoVAI1WoV6XQamUxGDnAeNEbOZXnYkFFqt6nz4TscDoRCIfT396O/vx8ejwe5XE4OHNJL6/U68vk8EomE/Dly5Aiy2SxKpRJMJhM8Ho8wzur1uhRZ5XI52SiBtVXUdgIThIVCATabDcPDw+jr68PIyAiGhoakwJPxYlVHqV6v48iRI+J1VCoVxGIxlEolJBIJCYWVSiXMzc0Jfz8UCuF1r3sdwuEwwuEw8vk8jh07hkqlglAohFwuh9nZWTQaDUxPT8Pj8bTU/9jtdlx55ZWoVCp44oknkEgkhD3DamWPx7MmJgzrmUqlEiYnJ7Fz50685jWvgdPpxCOPPIKFhQWcc845iEajePHFF5esrFfBfFYsFsOPfvQj7NixAx/+8IdRLpfx53/+56eMgzPskclkJJ/V39+PdDoteavlMGBOBbKfWCfCsOjv/M7vAGiytV772tcCAO644w4ATY/iv//7vwE0PZtbb7215X2s0Kbn8uijjwIAbr75ZgBNz4a5nYsuuggAcN999wFAi+KBCuZY9M9Dz0pbCbhGcrmcrFeXy4WdO3fC7XZLrVZ/f78wu2gEUfbFarVidHS0JR+oSrywULJQKAhjMBQKnZSM5/4DQNYgWYUMg919990oFou47rrrRH1jYWEBd911F9LptBxCqyEM0ctiDkQvo3Iqj4YeCp835X/4vJlL0YPzhDI/zMWdDpz2I5iVseSy07Jv57WUy2UUi0UUCgWxIJi452ZJl5YJQ7rgqw3vLBdkhEWjUakKDgQC8Hq9cDqdsNvtLcwVoFWLLZ1OY3FxUQ7LhYUFFItFyYlUKhVUq1XqOYnVTc+GBxVDa2SxqOKZFotFirLUwtVqtSphOQDCuFM1z1YK9T55bYxb86D1+XzIZrOrZqSRcZROp5FIJMRoWG6YQq2FoHyM2WzG8ePHUSwWWw6ZtRwwBk6AOQ41L8k8oNPpRHd3N9xuN7q6uuDz+WTMqUyxsLAAm82Gnp4eOJ1OOTC4X3D+07Onrl6762hHpSUDk4ZHJBKRCn5+vqZpkk815sPKsCGHSyfmAUNXo6Oj8icQCMgEVKVL6vU6stksFhcXcfjwYRw7dkw2XlIR/X4/QqEQhoeHUalU8Mtf/rKlqltN9q43BgcH8fGPfxyPPvooSqWSiGgODQ3JIUNqpH5c6vU6nn32WczMzCASiSCXy2FiYgLFYlGqgev1ujDmWJBZLpfx6KOPwu/34+yzz0a5XMbhw4eRSqXkoGYuhhXG3ID7+voQCAQwODiIarWK3t5eyYfUajW89NJLSKfTHZlcS4FhOsZ3af3yEGDooq+vD4VCAZOTk5ifn19V+I0WaDwex5e//GWpWVguKpUKZmZmMDw8jI997GMibDg1NYXbb79dJEVWyzpzOp3YuXOnVNIzTMPczmWXXQYA+PnPfw4AeO655wA0PQlammQZ0uJkzJyH/7ve9S4AzVwO/yYriPOOOm+q1Q4062K4Nrlu9GtFVSpf6TqivBEJONz4s9ksPB4Prr/+egSDwRbWKI2RbDaLu+66C+VyGXv37kV/fz/OOussCaVpmoZUKiXzSb1+1rnpCQRqhT2NjFwuh2effRYLCws4cuQIUqkUnnzySVSrVWQyGalDY86SIeyVjgWNZaJdLVc7cMzo6fK5/uQnPwHQrNj/9re/3fF7gWaF/3pj09S5qNLZ7XSG9IdLtVpFqVQSZhQXPR8ILRyVUqvG/NfKfFoKvE7Gj4eGhuD3+1uKvtpZUbTMSqUSCoUCotEoMpmMbGoMgfEAJROM40YLTZ3g9AY1TROPRGVrcUNmZTGTn5qmwe12o1KpyPWulsbLa7HZbAgGg7L4s9msCBbSk2EdzmpDLX19fXA4HJienkaxWDxlWwEVlUoFk5OTsFgs2LZtGxwOhxgGqiFg1M2sHcyZqjRqrhfm3lwul4SzGZplrUkymUShUMDMzAxKpZLo73G9p9NpFAoFZLPZFuagmpNVIyFqvrZSqSAejyORSGBiYgLxeBzRaBTpdBqpVKpFgooq3czdGGyx5eG0y78Ui0UcOnQImqZhZmYGtVpN6IM8VNRq21KphHQ6jXw+3xITr9frmJmZwdzcHJ577jlxwd1ud8trNwpTU1P4u7/7O2zduhUjIyN461vfCq/Xi3w+30Kt1oeKuMlyk49EIrKomD+ilUcWGcN9pGp2d3djZGQE1WoVY2NjIu4JQMJejMEy3wKcsG6feuop0XZyOp2ykCcnJyVXshpWEK9xYGAAH/jAB9BoNHDLLbfg6NGj+OQnP4lQKITx8XExFlaSB1PHsKurCzfffDM0TcO//Mu/YG5ubkWWZCwWwxe+8AV0d3fj6quvFvZNMpmUebcWb7dQKLSNa9NqZW7kxz/+MYCmx6H3TPj8SMygvtbv/u7vAjhRZAsA27dvB9DMsfD91ByjB0QPhCFT1YteDlZKvuB30kN1u93i1QcCAfj9fmQyGdjtdnR1dUnivlQqYWJiApFIRPJhTzzxBILBoNCEqT1HRYZkMolsNouDBw+ip6cHl112mRxYNMwajYYIws7Pz2Nubg7f+973MDc3h2QyKfk8lcFJY5WEgbX2E1LHT+9JdhLHZDSAbDDmzF73utcBAD772c8ueU0qi3MjsNScOG2qyHzIFLNbXFzE/Pz8SRRdxuorlQqKxaJIZdMtp+XBjdpkMkmxIN3l0xEb5cLZsWOHWF+ssFfZKLwWNdTHAi0mExuNhljyqptJ743kBHoYXJAMd1UqFUn4kR7NRJ/b7YbdbkcgEBDaturpud1uiSvTc1nN+Kk5INbuuN1ulEolTE9PIx6PSyX0cj2NTt6D6uHSQ+MBp1qq7VCv1zE3N4dcLofjx4+LyCFzU2vx3gy0guud4Pxg/VapVBI9MW7kjUYDsVgMi4uLEiZjqDYejyOfz2NhYUG8dJPJJMl8tRGZ/jpUT6ZUKiGTySAajWJ+fh65XE4UPlSvRy36JvvTYBYuH6fVcwFOWE7MM3z3u9+F0+kUxePR0VGJqZK6mMvlsG3bNvj9fmFUsbkPJy7DZYxXb7SmGHDC8hgfH8f111+PoaEhOeDIeANaqbOVSgWZTAZ33HEHIpEIpqamAJxQr61Wq9i/f78k72u1mliKxWKxxRWn4N62bdvgcrnQ3d0Nk8mEgYEBmM1maTOgCkBy/KvVKubn57G4uIhHH30UZrMZF110kVCfZ2dn8Zvf/GbVY8eN4ZZbboHH48EFF1yAWq2GBx98EAsLC9i3b5/c06mgJoNVSzKVSuEb3/gGbDYb3G43xsfHMTo6ikqlgqeeeqqlfqZT+IK9Ye67774WNh+JGPF4fNUMQ25eejVkqht/5StfAdCssWBOhJ4N61Te+c53AgBe9apXAWgaX3wdcybUKqOnQo+Glu7f//3fA2iq6LKCmwe3vhJcDbWqP68mxMxaMBocR48elfsIh8PYuXOnsDxJ60+lUnj44YcxNzeHmZkZVCoVCeeyzoTqE5RW8vl88Hg82LNnD7Zs2dJC02eYjV6vx+NBIpFAKBTC1q1b4XA4pF8Ux0XNETPfQqOxVqutSmNND70yAtEpX632MgKaygz8Pdl+ek/owx/+MADg7rvvBtCcL/wezhfe03oVUwNngC2m5hwikQhsNhui0ajQlD0eD0qlkvxcKpXEc2lXyc5/A6fnUNHfC5PwXKRkifH6WJVeLpeRTqcxMzODWCyGfD4vFcqq/DitNVVxgAWZXIQOhwMOhwNOp1NolzyQGQ5QGWUqM4Z6SjxsGKJiglOtqF4NyPLxer2ygNSaHmDpicv8EI0LzheOA+VEnE4n/H6/HDIsLDWbzSgUChIvb3cv/Ew1qa0qQBhYX6ikAZYN2O12JJNJqbIng4xN/Sg3w/yhWn9FFilwYm4FAgE4HA709PScVKEPNI08Gl3qulBD7Z2grsNOuVQDJ+O0Hy6qRTo9Pd3CHWcuJRaLSSKtUqkgnU4jm80iHo+3uL50p7kJnU6XtVar4dChQ/jyl7+MkZERvOtd70JPT48cAJRo+cEPfoBsNiusLCo4x2IxuWePx4O9e/eiWq3i0UcfRSwWw/T0NOr1OtxuN5xOJ7Zv345QKIShoSH09vZKCK63t7clHqwWoXHxqCGjcDiMdDoNu92O2dlZfPWrX0U+n0c0GpU813qgUChIbYWq+7YU+My3bNkCu90uhyw9VZfLhbGxMXzyk59EIBDAY489hlgshieffBLlchmXXHIJyuUy7r//fgkh6skjnQ4b9sIB1mak8LNY58LP4cb461//GgDw5JNPAmiyyVR5d6DpmZx33nkAgAceeABAsx6GmyE9G/33MEdDlVxqmd12220AmvURVGXWe5PrYbly7PWMNIvFgmw2i4ceekj09gKBgNRg0RDJZrMSEWAYzG63Y+fOnSiXy2KM7tmzB11dXdi9e7e0ruD3q0bes88+KzU3ZKHOz8+36H2p980wHbXQ6FU6nc5l12ctZ4zagQcYx+w///M/ATQ1xJhzoaID5xNVsz/2sY8BAN785jcDAD73uc8BaGqS8W++/5vf/CYA4Atf+AKA5vxbC87I4ULmEllLLpdLpN75QFVmBllhao2HWjvCtskqc2yjwQ17bm4OjUYDx44dQyaTET0xv98vvSOSyaTkRBKJhHg7ZrMZuVwOdrsdXq9X2GdUg6YkRSAQwOjoKLq6utDf34/e3l6pdm6nJs1xUXNUPHxYxUxPMBaLIZfLCclgvRh2jUZjzeED9Vnyb7Y18Hq96Ovrk86F9XpdwpPz8/OIxWItMkHqZ7TDUmE0A6tHp4OdIVoajqz1IqGnWCzK2gcg9SzcP2iI8A87tbKwmt9NElE+n8fi4iJyuRxsNpsUL+spwQTXEvcj5ovUNWdgaZx2+Rc2/WEjIJPJJJvl5OQkbDYbRkZG5ABS6YMM3agP1ul04txzz4WmaXj66aeFkriRNGSgqXXFmot/+7d/g9VqFUkS4ITVwR7ljI1Go1HU63XZ5On6u91uuWar1Yrt27fDbreju7sbvb29ePe7342uri45fChIyfdwwaljzXAYE5IAZMGSCDA7OwuLxYJ8Pr/hY3YqMD4+NTXVUlBHT6JSqWB6ehq/+tWvMDIygu3bt+Pcc8/FO9/5zpaK5/e///2YnZ3Fn/3Zn2FyclLG4HQcHgw36g8yfW6DRgA9TbXlLtCsf2E9zL59+wA0N8GLL74YAHDttdcCaGqY0eJkvxyyycg6I/voF7/4BYCmB8OxWW7F+HKg5kFVMPzLdsMulwtut1vyZQcPHhR5IqJQKODRRx+Fx+NBf38/nE6nCFxSbp+FzPREWID9xBNPCBuwVCphdnYWuVwOXq8XtVoNkUhExp1GmsViQVdXF0wmk8wf5j9Zh7OR6JTrYq7l8ssvB9B8vq9//esBNPu7kI3Idc96GI4N58OVV14JoMkmVIkt7b5/JTjtnovNZsPAwAAcDgdyuVxLhzly4LlpqnRkVaGUngtzEeFwGJp2oi5kNbLgqwETwKyKX1xclOQzWSXsjGk2m6WjJNla/Axa54xFU3OJzdPC4bDIYzCn0E7ATwU3YjLq1MOFMW01/r0euZb1Aq9d/VnPuKPF6ff7JaTC9tb0/oATha7JZBLJZNLwSs4QOoUhAYjmGH9H0gO9FnVjI5W4UqlIaNDtdqNarSKXy8HpdEq/JB7YpNkvLi7K+tM0TTx3brCUgdHXyQGtCX7OL4NNuDyclsNFDdt0d3fjPe95D/x+P1544QWhIzocDuzYsQONRgNPP/00MpkMjh8/jmw2K/paev65x+NBT08PzjnnHNECWg8mx3Lg8Xhw/vnnY3Z2Vmpb6vU64vH4SR4FDx914+RE5aZIi8PtdiMYDOLVr341BgYGRIcpEAgIUQCAxKL10uQMIU5MTJxEO65UKjh8+DCi0Sj279+P+fl5qW7mYt4M7n4na4mEhb6+PoyPj0sRJL0W5t7YUvnKK69Ef38/fvzjH582o4MK2YlEAsDJngpBNpka7lPB/A/7vUxOTgJoWpq0MOnZcENlDoUqx8zZUAmYoEYZa3LoWetZYmsxOJgP7cS8U0O3pVIJx48fB3CypD1ztJlMRsoUqPjNg4L1NMPDw3j9618Pu92Oubk5EX8tFouiYnH11VejVqvhsccew+Liosgszc3NtYSGM5lMSxElPSu9V7Vc0JhcDvTzhp4VK/WZM9HPq61btwJozh++jrkUelysq+J+yetS0w3q71eDDT9cVDfT7/fLxuDz+UR1NB6Pi+fCzbFcLoueGAv01AnP2Cs3b+YVVC2jjYbqcdDCVq0a9VBVk4tAk8GiUo/p2ns8HgwODqKnp0dCYWoXPnp1HAOgdXNqNBoydjw0LBYLisUiZmZmpBqZlchq6GkzeC9AM5cGoOVg4MHR1dUlvc/1YFw8GAxKgZ6BM4NOKhWEOqfVBlp8hkBrXRPDU/RkGD6nLh/rwUwmk4TFSAJiryN2pAwEAkIbV5mCKjmCRZRqWcFmWiebGRt6uDCEQ674DTfcgPHxcVxwwQWw2+0wm81YWFjAww8/jHw+j+eeew7VahXT09NIJpOS/KY1oZ+UrNp94oknpAWw3+9HsVg8iSW03iDbRd2c1Xv2eDwtjbJ4CKrCiPV6XaRRhoaGEAqFcO2117aIX5Jmq3YgpD5WrVbDwMAAnE5nyyZar9cxOTyjGCIAACAASURBVDmJ2dlZIRz4fD5Uq1UhGDDOzO8hZXqzwOVy4ZWvfCUA4MCBA0KACAaDuPTSSxEOh086WNT5YTab0dfXh3g8flrbXrOGRj/39JXxzIkwhMff82eyzfTquVTF5bOi2jLZXl/72tcAnNx7nRbr+Pg4AOAb3/gGgKZlys/n56o5urXgVEYLw8dquQG9z56eHjQaDUQikZb+TST6HDt2TLwjHhA8VDRNQzKZRCwWE0Osv78foVAIwWAQjUYDQ0ND8l2MJOhJQSzS5rWu5VBZyX5EA5nPoa+vDwDwy1/+EkBTo07PkKVH+4Mf/AAA8N73vrfl93qPiPNNzxJl6JHzQd8RdTnYsMOFk4AaQixaGh8fl02hUCgglUqJLEMul5MKXlU3rF0s1GKxiI4XLfD1ZDudCo1GQyaxOuDqw9NvanrPC4DITTDk4/f74fP5xAvTt3hlzUgsFhNJGE3TpHiTIYaFhQXEYjGpZqZXlc/nhSnDfhmbreqYh/HQ0BCsVquoYicSCamH0Nc9EfTqcrkc4vE4MpnMpjo0DbSHGpaxWq2wWq3wer0tBB7+rY8QUKkhk8mIDqGmnZBOYvW9GlLm3kRvhDk8fShQzQ0ZWDk2rJ+L2hTs/PPPx/j4ON7xjnfA5/MhkUhgYWEB//Ef/4GjR49iZmZGCqucTid27NiBYDCImZkZ2WjUCcWQSXd3NxwOBxYWFpDNZqVWYyP6t+hBGRaVZQI0E9CUi2A4j658uVxu8egACKmBCXuqIfNgYQ6nXq8LzfYnP/kJ6vU6rr/+evT09MgBVSgUEIvFsG/fPkxMTCCRSMDtduPVr361VPAzbs1NWL9YzzSodHDJJZdg69atGB0dRTqdxv/7f/9PPLROieJyuYx9+/bh0KFD+OY3vyl019OFTh6zvg6F402PhnNB35GVHSVZv3DuuecCAN73vvcBaLLKWM9Cthi1xpgkp+f73e9+t+U6du7cCeAEi1G9rvUgQKgeezurn0YW1wwPCZ/PB7fbjcHBQVQqFUxNTbUk/xlmZ96KoeWJiQlUKhU89thj8Pv9OHr0KPL5PLLZLKxWq+RUtmzZgnq9jtnZWczMzGBmZgbJZFIONrXOSWUZqofTRu0veoOJORPWJ33gAx8AAHzoQx8C0PRI6dnw+bHuhX2BrrnmGgDNuparrroKQJM1SIOf98p+MczdkM24kvqXdT9c+IBsNhtCoRC8Xi+8Xq/kDcxms+j4TE9PY2ZmRiS5Wa+iuuZ6EUjVNebncaNUefEbOQHa3bMKdWLSQtJz49WJ2s4CV/tW8PX0PKiiXKvVMD09jXK5LAdROp3G7OwsFhYWRIuJem6U01E1lPQFg6dz3JaC1WpFf38/BgYG0N/fD6/Xi9HRUTidzrZ1BvQkM5kMnn/+eRw9ehSRSETCSwbODJY7l9Qcquqt8yBRowBcGwytc2Ok8kc8Hpf+PGRHWq1WYYyxHICCl8zpdop6bIb18HLEuh8uZrMZoVBI8gc2mw2zs7NYXFzEQw89hN7eXvT19cFutyOTySCXy0myzePxCG8daCr60hPR62uR8ru4uCisB3ViqhIo6w19ApLgYUFNJNalBINB1Go1HD9+XIpB6d3Z7Xbk83mk0+mWtsNqOKxWq6FYLGJychKTk5PI5/NIpVK444474Ha7sWPHDphMJszNzSGTyeDYsWNS81MsFrFv3z65LnpQtAbVsd0Mhwvport378bAwIAUpv7RH/2RyL/oD5dyuYx7770Xhw4dwq233iqtDM7U9Z/q//hsqWZNz4HzeGRkBMDJdSjMmQwPDwNo5m4OHDgAAMK4ouX58MMPAwDGxsYAQHrf8Hv4+epm3u56VzMvGHLqtP7U77Lb7RgbG4PVakU0GpXmXZqmSV6A18z8TF9fn4Tc6/U6jh8/DqvViiNHjsBsNmNiYkJCqjabTSrtf/rTn4oRyv+ngsWZStarRqT6M/fCb33rWwCaLD+yxujBMhenb/PMOrt7770XQHMesS6GORx9nRNzeGq+qdN1dhqvDU/os9Wp3W6XLoR2u11UT1X3W61bsdvt6OnpkYrrSqUicvBqzJQ3SCu/XY5iIyaMngmmxoVpabXrta2GAHiAsEMfcwmqppaaL2E+Ss2VRKNR0Wcym82YmpqSOLMajtAXfZ3pA2Qp8H5Z38TxCIfDkofSb4L1eh0vvfQSjhw5goWFhdMaCjOwPlB7CqkKDypFniFTr9eL4eFhKaasVqsSJuO6pCQ/jTa2tpiamhL1C9WY28xr4uWIdT9cGo0GEokE8vk8HnzwQWzbtg033XQTAoGA5AvuueceRKNRxONxmTjcjPv7+/HOd74Tg4OD8Pl8yOVyuO222zA3N4fDhw/LSWqz2UT8cXBwUMJs9XpdqtcBSO3JeucUyAgj952wWCxCKWaSkf3keTjQcwCai+Xss8/G1q1bMTw8DJvNJl7HwsKC0CbZzpiSMLVaDVNTU9KUC4CEwXgw8YBR61043nxe+tj3ZkAqlcL3v/99DA8P4+KLL0YgEMDw8LCEQtQDnSGxn/zkJzh48OCGV08vBRbXdqq34jXTAOIhyJ9pMdJi5fO46aabAAA33ngjgKZ68gUXXACgWaGvz9Ww/oUeDmPtrLf60pe+BAAt4WT1c1RDbaVzg2NB4ose6jNkKwTWs9TrdaRSqRYBU007oS932WWXobe3FxdffLHUuCSTSaRSKZhMJuzatUvklAqFAg4cOIBsNotUKiXFwwzNqy0gNnLue71eXHTRRaIR124s2v3M58tKfLL8OG70cNmJknVLZHsxLEyPlvOGuZtOZB560qfCUmO2IZ4LrexMJoNUKiWHwOLiIlKpFKLRqMQ9CeZq3G43+vr6pL82E3zcMNQNkpX9DJuxXwhdw3Zhq/WE6iLq8ym8N/6bCgMqZ5//VpOYtMp5ENFd54Ght7CYN+Ehx8NL/x360ITK2d+MIN26Uqmgq6sLfX19cLlc8Hq9whTT10hwfm3WezLQGVwjnPsqZZ9RCT5/t9st2nIk+1BYkoXaPp8PDocD+Xwes7Ozov5B4g9px5uJyPLbhg05XBgWMplMmJ+fxy233CLWusViEcFBtRmP2WxGOBxGOBwWKi5ZHF6vF36/X7oYkily4YUXwm634/HHHxevh5Lv+Xxeajk2IudCZpKemcZJOz8/LyFANfasJvspqkdJC5fLJeJ8qVRKKpG5kTIJmUgk5OAmeAgxLJjL5U6quFcPE/0htdk25EKhgHvvvRdWqxV33nkn7HY7+vv7sXv3bnz2s59FMBiUBnKlUknaYJ/p+1DDOe2gp7nq1Yj5vMj+ef/73w8A2LVrFwBg9+7dAJrsMuYj6LlQe4qWJy1essr4+/n5eQAnKwPoY+tr0ZgiLX4pI4bGgaZpUhGvMut42Hg8Hpx33nkSYjebzQgEAvD5fKKTNzQ0hEajIdpjVCLv7u5GOp0Wev7MzIxo6Z0OBhhwgmVFfa+VgLkUGtf/9V//BQDS24Yswd/85jcAmsoPjIzcc889AJp9W+ix6nM7p7r35b5OxYbmXBg3TyaT0rPEZrNJi1+GZzhxaYFSWn9iYgLpdFrqYFQ+Ot1ZAKJBZrfbxWvi/2+UppS6KPSHi5rQV3u7qK9Vww9qCIvWG70UdSxVz4W5GlIn+RksCON3dVo0Z3oTPhUajYYsKOamGCpKpVJwuVwtitAGNieW6x2r3n67jUz17tUDj+QPHjaNRkOIQRSDDYVCcLlcsm9Q5FX9TgPrj3U9XNRFzkpl5h9GR0fxgQ98ALVaDZ///OcxOzsryWtuqLOzs4jH40gmk7BYLIhEIiiVSkgkEtIBjpt3LBbD97//fVitVqRSKXGr1U14I2Op9Fw6xUo5cdUNUk/5ZaVxoVBAPB6XXAsLT202G9LptLC62N+FYSKn0yksMh6o2WxWDjb9vevzKpt9U1YPVx42k5OTuPPOO3HWWWfhmmuugdPphMPhkDDIZmC7LQV9TkO/kdLyZH0D+3aohcfq65hLYY6FGnWsT6CnQm2yn/3sZwCadQv6inz+zQ2cxhlbYqwUyz1YWMulPj/+nqUNlNenWGwkEkGhUEB3d7fk3djuwuVywePxQNM0DA4OolQqCXOzt7dX2iW3U/9Yj3tqh9UcZHwe9DzOP/98AM2K+TvuuAPAyZ4s2YKMbug7X7IPED2j5ULvyZ52tpgaB1cLnnp7e1u6EdLyVJPLlUpFmoWRLZTNZk+a2GwipfZ80VfMb/Qms9Tnq+Gndq9VE5nVahWZTEYYXxSj5L/VWhSyY5iwZMKWXhoPInqES4Uz9LkiXtdm3Zw5P6LRKLq6ulqETEmkWO0maGBjsNK5pJ+Tas6F0QgWJ5PpBbTWhbHCn8QPRhBIDiDjsFNx56mwmdfIZsK6Hi4ccDWko2mahMGo0ut2u+FyuVryEKxzcTqd6O3thc/nExbYXXfdJd6JGl5S6xjUMJUeq4kXrgXtEuj66+E1saL+xRdfRDqdxnnnnQen0yn9wfv6+qBpmlTVUwDUYrEgHo+LCjO9v+HhYemVkc/nW8Z4OeGxzezN0HuLRCJwu92Sk6I11dfXh/n5+ZPIIpsRes+ABlYgEADQ7CRJj4QWKNlBzMkwd3Lw4EEATU+FnssjjzwCoNk7nTkeVZ0baFq8BP+fFvE555yDF154YQ133BkqOYM/q79n0v7w4cMt7YyZ4Pf5fNA0TQgxero6c3JkjJH6v1pB09N5uLznPe8B0NQI4zUzB8fIyKc//WkATQ/1Fa94RcvfJDnRGP3nf/5nAE22Ip/tqe5Lv6+ddraY3nNQLQbyy7mI1NCRz+eDy+VCMBiUPun0cLixqN+h30BONTDr0QBnuThV6En1XJh3ASD9xNlMjOEQ5lmoYkDxPa/X25IMdblc4rm0E2w83QftWqBeK8kRzDG1q6j2er1y/5v9cDHQxFJrRG0BQCaox+ORZ838CT0WVdWC7+N7U6kUMplMSw3Yel6vgVZsqHAl2/WyNS97SrDyenR0FLVaDQcPHkS5XEYgEIDL5cKWLVsAnDiF0+m0VLp30gxbzkbJjRnASbUpG4l2br4KWlHhcBhjY2PYs2eP1Omoi4tjUC6X4Xa7pe9LOp1GIpHAkSNHpKMlw2mUxdGzxoDOB+1m2ZQ5fxj2tNvtGBgYQDAYFCMEaD14BgcHkUqlMD8/v2lDY6p3r4LPgcYE2T70bFjvoJJYgKanQs+EngbrGVhXodcMU40bFW94wxsANFV1OU/aKT2vJ1RvgAQOqnBUKhUhBA0MDOD6669HX1+fKH0wouHxeE4Kd3H9VatVPP7441JrRxbbaq/1dB0w9EhHR0cBnDxPbrnlFgDNHBq1w/icuZfG43EATU+H7DKqZ3cCv4ffq58vpz3nohbqORwO9Pb2oqenR3IJW7ZsQSqVgs/nQ6lUEreXSbtgMAhN0zA3N7fu/aqXYlBtBFQXH0CLkoDFYpH8idPpFEtMZdDplQBUmXlNO6GGXC6XhaqtLijmIcxms2xGLwePhVAlScxmM7q6uhAOh0VvTD83OH8My/LlDeZPmENjbYuqVehyuVpEP9VcpUpcYWkA8zXValUKKdeCl9M6OlPYEOFKMjqCwSCGh4fxmte8Btu3b5eix5tuugmpVAq33XYbIpEI4vG49HRwuVwYHx8XgcJIJIL9+/e3zaeo/UtOBU3TWmoKVPmYtdwrP7vT//Hf3CCZI2AIa+/evS29v3kIMDHPJL+maS0y5LVaTQrDnE4n9uzZg3w+jyeeeEKar3k8HuH6U0KH16u/d/UQPB1hw1OBoQygSf4YHx/H1q1b8Sd/8ifSRE2Nm7drc3AmwMJeFXojQ18BT8vz7LPPBgD86Z/+KYCT1W5ZaX3hhRcCAC666KKWz2EHzDvvvBNAswOlPl/CGDzfx7nBzpf60DZ7qqwUy11nNIhIOeZe4Pf7cfHFF8Pv96Onpwd2u12q8Wu1GgKBAC6//HIJhwJNZmalUhHiTzKZlPwlBU71jL1219QOG+Hdd9pLnnrqKQDN3BrvkWkFvp41NLfffjuApucyNTUFoKnLxh5Jn/vc5wA0K/VZJ8UOlTx89YrQXF/LEQjekMNFtZp9Ph+Gh4dFF4obJHBigKiITOuiXC6LFhAtUeYe1uJxqAnt1Sby2t1rpwNPzbmoY8L6DIYMGcbI5XJIp9MtdGvKXqjfR2udoQMSI4BWGikTlmxWxs/SN60601DZgvoNud0Y2u12BAIBSUwCzVoh1jttlnszcAIrWbeMdjidTgwODiIYDKK7u1sKqRnlIHOQrSbUHKNe6Vuv3dfO8AM608MNrA4bVudiNpvh9/vR29uLV7ziFQiFQvJgG40TnRHf+ta3IhKJYGpqCjMzM9Ka91vf+hb8fj8uvPBCmEwmjI2Nwel04qWXXpLNYyUTVv+69bbMeS10zQHIddJLoUe3ZcsW+P1+qSY+evQopqenEY1GRY9sYGAAW7ZsgdvtbqFaApAYcyqVQqlUwsjICILBIB5//HGk02n4fD7YbDZUKhVhjFGpulqtysGtr2bnmJ7ukJLFYsHAwAAajQYWFhZaDhgesi6XC1arFZFIBMFgUA5LvqZQKCCRSGBiYgKHDx9elYW9XlCps0Dnuaf/f6oj/9M//ROAJquHuRO+nvUvzDkxj0gP5vOf/zyAZoyebCBauoy56zXH6MnoDbBOsfaVYKl1qh8vq9WKvr4+bNmyBa9//etF+slkMkkvH84Rm82GQCAgYTG16ysAOXjGxsaQy+WkBUMgEBAWZb1el7nENUtVjXaKD3pm23pBP976UgaqGlPF+N3vfjeApvLC/fffD6CZc+H7HnroIQDN+phrr70WAPD8888DAC6//PKWz+U8nJubA9CcN2QrqgQjAAgGgx3bWmyI52K32+FyuTA0NIRwOAy3293C6qC16vf7US6X4fV6JSxANzabzWJsbAwmk6ltEmkzYDmTTGWy0HOh9wJAvLX5+XnU63UR3wwGgwBOMKD4PVyIaojQ4XCgWq22cPfVin29MN9mtMY6HfYqRd3n82FkZAR9fX0nqV7HYjHMzs4iGo2eVrKGgVNjOWtVpRw7HA4pSSCt2OFwQNNOyPwAEEo+jQ619EHd/NVQdKPRQFdXF3w+HzweD7LZbIs0lF4doJ2BsFn2nZcLTCtZiCaTackXm0wnOkSOj49jbGwMN910E7Zt24ZXvvKVJ/HoAUjzq29961uYnp7G5OQkstksYrFYi2XBtrzpdLqlilcfF14rNE1b9uwxm80apWz0oSsVXCBMSu7atQtWq1WUmp1OJ6rVKqanp2E2m3H22WcjHA7jwgsvxMjICC699FLh79MzajQaIpHDBOX8/DwikQh++MMfYn5+HolEQkJFVDdQDx39QaPPuaxkLE41L04FWo76cAZwIhdx+eWXY8eOHfjoRz8qUh6qqvAHP/hBHDhwAJOTk6LSsJ5YyVjY7Xatt7dXOkB2Aseb6+JNb3oTAODtb387AOC6664DcHLFvD7sqidqUHPq2WefBdBki7HjIHM6tIQ5Vp3GjB4NE+MrGQuLxaK5XC5pTqeHGuq02WwYGBiA3+/H1q1b5Xs9Hg9e9apXwWQy4ZlnnpHaLa/Xi2uuuQbhcFhETcPhcEvLDfXAoObg/Pw8vva1r2F+fh6FQgHlchmzs7PSlVW9Tv06Udf2eq0R/QHWicXJNfKWt7wFQLN+iSwwKjd0+nx6uPwcdqZkf5+jR4+2fF6nnGGnvbbdWKx7WIzhH7J2eEDUarUWLSiGjKxWK4aHh6WdqXpTtEh8Pp9IZLdzVTeTpdrpoKElxKpikgsoUcHaDdJo+/r6UK/XsWvXLlSrVfj9/hbpcR5a3EzpoeRyOZH5V+tB1LqQzebBtNN/Yz7J7/cjGAxKnoVtc6kEHYlE8Pzzz2NiYmJN9FIDG4vlePnqoVCpVMSoJEkhFovJ4cIIBw3aRqMhYWV+n2owkX3mdDqlhqyT9qB+DS9lPBrojA05XBiquOOOOzAwMACv14twOIyenp6TGmjZbDZcdtllGBsbwwMPPIC5uTmYzWZ4vV7s2bMHPp8P/f39yOfzuOOOOxCPx6Xfg8p0ORMMp+VU4fMPN/ejR4/CarUiFApJCKBarcLpdKJUKiESiWBhYQHT09Po6elBLBbDli1b8MY3vhE+n08EP6k9Nj09jVgshv379yMWi2FiYgKZTAbFYvGkZmPAkpbHGcm5dILb7cbVV1+NYDCIkZER+P1+PPXUU+jq6sKWLVuQzWbxuc99Di+99BKOHTu2KRSRAYhy9anAcebm9sQTTwBodgjk75k/ooej1wKjRcrP27lzJ4BmruXKK68E0NSQevDBB1s+fynWoPr97RrfnQoqgQRYurbKZDqhF5hMJhGPx+FwOBAKhZDL5fD9738f1WpVvHEWWMfjcYRCIZx33nlCGlJD8GRZ0qCjUgiNO3osbHOsbyyo9xY5LuvJNFVzqQAk9KcHnxfrjzrNdb1HzM8niYrPgzkWsshOFQVq5w0u9XpgA+RfNO2EoCMl7y0WC5LJJBwOB/x+f0utBi/MbrfD6/ViYGAAJpNJeOw7duyQwyWdTmPnzp2Ynp7G8ePH20pHn87NZSXWv0r9LRaLkjCkl0f2GBeZpmnI5XLQNA2RSARms1laDTB5qdJuqU2WTqdRKpWkW6X+GjfD5tsJFosFXq9XFi6pp6FQCH19fSL3ksvlEI1GkUgk8MILL+D48eMb1lbBwNqxnHVC40c1EiuVikQ/EokEqtWqbLzMJUajUVSrVSSTSfj9/pP6Q6nfT++dXg+ZhQwb6736zWJkvZyxrocLJeMjkYi0N240GnjkkUcwODiIfD4vHQVVSmGhUIDVasVHP/pRWCwWBINB2Gw2eQ1DYuPj45iYmMA3v/lN4d3zTzv3ttPpqsat17LhLvV+NV7LXAfjy8wjWSwWYQNlMhlUKhW43W7pMFmr1fDMM88gGo1icHAQW7duxSWXXCKEAE3T4Pf7kc/nkUwmMTMzI4eLvi5otcy60wWv14sbb7xRunva7Xbs2rULvb29ePWrXw273Y5cLodEIoGvfOUriEQimJuba1HB3gzQW+udoGcFMfTDToNDQ0MAgPHxcQBNzajzzjsPQHNuc8OlB0OLlZpSzMFwzjMcq88j6C1X1fBTr3cl4CHQySpW1whrmehhACfWBMNZvAaqY5PAQsMrm812vEaSZhYXFzEzMyN/ksnkSYQXfV5FT1Wm57Ja6L23ldKfl/v//Nz+/n4ATY+DOZVOgrqdwNfTg11OK5MNaXPMPECpVEImk8Hc3Byq1arQYQcGBmRzBJpSHz6fT7wYtZ6jUqkIRZHUZJvNhmg0KhvrZkGnxcqJyUOmXC6jUCigVCoJD58V++w5ofauUQ9RfgYl9uPxOPL5fEs72ZejBabf8GitMiHMZ72wsIBIJNJRDsjA5sFKIgoMdfP1/FlfHKmvulc7SvL/VcOOlPz5+XnMzc1JLoe5Sr6+3bW2+73FYtmwPlG/TdgQ+Rdugo1GA7lcDnfeeScCgQAmJiYwNjaG4eFhKYgCTnCpmaRmuEeN/VLCpL+/H36/H+9973sRiURw//33i1aQ3lpcalKvh5WrxnT1HkK7DZ2vUSUobDabNL7atm2bVCabzSe6cppMJoTDYXR3d+Pss89Gd3c3UqkUstkszGYzUqkUvvOd7yASieDQoUMolUpSQMmNdyWbL0kWZwLZbBZ33XVXS98O1vrs27dPQoLVahX5fF68WmDjag9WA87X5cqL8JpZK/Dkk08CAD784Q8DaNavUAWXnSbf/OY3A2jWvXBOUyl8YmICQLMehtDHzk81ZtxEXS7XitcNSRmd2GIE56le94zXxo6UXHOsZ6FYK/cMVeKFEZFisYiDBw8iEolg3759mJubw/z8PEqlUks4DGjdF1SPRTXYqJqxGvmYdrka1hst1b10JWCoPBQKAWg+Z3rGnXJsy107KzlU1/1wUS11PuRkMolKpYKFhQU4HA7Mzs6iUCjA7XbDarUK1Vb/Gfw3LQsm3FwuF3w+n3g1+oFRD6aN3nA6ceE7/a1aZY1GA5lMRhqGAc0wBFktwWAQwWCwpTaGFhfl+qenp1EoFFoaH+mT86prv9R9nCkw3GEymeB2u2G32zE3NwebzYbFxUWZJ5qmSY0Cx3IpKrOBM4/lJsHbeQ1AazhKnd9q7pH/p3oz2WwWuVwO09PTmJ+fx/T0NBYXFyXPwmvrdB16Q3EzEV5eDtiwCn1aIjw58/k8Dh48iBdffBFPPfUUXC4XQqEQRkdH8bd/+7fweDwSD1bFHbkBF4tF2UQTiQRmZ2exb98+LCwsSC8TuSlls+G1rDfUOLH6XWo+hzkWACcl2FU2Tr1exwsvvAC73Y6uri643W6Mjo6iq6sLl1xyCYLBoCwen88Hk8mEVColFffUWlLpxhw/XhML0WhF6q3+09mOYClomiYWZz6fFzkQWqy0SAGIcRIIBERSXU3qnol7ajRO9I1nZXMul2v5f3rrJKSwYyA3O14zNcRefPFFAMBHPvIRADjpc2mRMnfHEDE//9vf/jaApkej1zLjWOpj/5w7vD4STFY6Fmw/zmtaypvWG2IquN5MJpMk+/v7+xEOh+HxeGC1WoUhyWLaiYkJJJNJPPPMM0gkEpiZmUGhUDjJkNMbr/o8EdcIPaZcLreqWipev3qP9Fj4s35+LBd8Tsyx0HOhZ/vwww+3vF5v7PL1nE/rsYdumOS+HpxoLIZk4p4PmPkVoNVi4ENnUj+bzUrSOp/Po1AonDQZz4R10c5LWE7yjxObjCcuRuZhqAKr1gapY0PXXi2Q1H8vrbulJshK3eONBDcgtQ6Bh6WmnajUNplMEvLpJFhpWJlnHupaXo85pn6e3W4XDT3uH1xDbA7GPSKbzUqeRn+QqrTgpQ4NlT6+GdbJZsdKK/RjACY37nLOKEY1TQsvF3AMMwAAIABJREFU98XGWDRhjEUTxlg0YYxFE/8Xx2JFh4sBAwYMGDCwHJwZapABAwYMGPithnG4GDBgwICBdYdxuBgwYMCAgXWHcbgYMGDAgIF1h3G4GDBgwICBdYdxuBgwYMCAgXWHcbgYMGDAgIF1h3G4GDBgwICBdYdxuBgwYMCAgXXHirTFTCbTisv52W3R5XJhaGgIFosF1WpVft9oNBCJRFo6wrHZlb6b3EZD07Rli1GtZixO8Xm8hhW9Ry8KuF7YyLHYTDpmy8GZnBcdvqOlLQVFHYGm4KTa0+TlMi+Apkw/AOlP1EnR+1SaZRs9vzbbvDiTaDcWGyZcyb4iu3btwu23347+/n54PB4RmOOCYBOoRCKBf//3f8fc3JyoH6dSKZTLZcTj8VWpkG5mUFyS/RwKhcJJgp0Wi0VUTdPpdNuOi2eq/8pmwGY9pNaz1QPvkZ0X3W43AoEArr32WjidTkSjUWSzWRw+fBilUqmlHYO+idZmBg9Mj8eDCy+8EADw3HPPSSsJdf2zt4/P55O2FPV6HXNzc9JLSm3VQUPVarVKh1xN087ovqLOXRra/B2FepfzzDbrGgBOgyoyO0yyHwkfMpWAzWaz9GZhd0WCh8//FVD1mA2J7HY7QqEQGo0GisVii3eiNh9Tf97sMJSKVw62+rXb7QgGg+jr60N/fz/sdjsqlQpsNhvC4TCy2SwSiUSLx/JymRdAc24UCoWWjpT6lt1LvZ8He6fX0zPq1NRvI2G1WtHb2wsAiMViMJlMGBoagslkQiKRkJYZan+a5R4ymxEbdrgwvBWLxfDwww9jx44d2L17t/T4ZkiH3SpTqRSef/55HD58GLlcDrVaDaVSSeTkf9tAi4q9JYBmHxufz4cbbrgBgUBAesrfc889SKVSyGQyMgnVsNhmP4jpqbFTIyX19b1lgOUflJt10a3luvQWrdVqhc1mQ09PD0KhEK644grpTGo2m+F0OlEsFjEyMoJMJoOf/vSnKJfLJ33WZoU6LywWCyqVCp599lkxPjVNg91uly6kXDfVahWpVApms1l62HANsPVEu/u22WzYunUrNE1DLBZDvV6XUOJGty7u7e3Fpz71KdTrdXzmM5+B0+nErbfeCgD4i7/4Cxw7dgy5XA5WqxUjIyNoNBqYmppasuvlZn62G+q5sDNcOp2WvtWcNMCJbov1eh2xWAyRSATJZBLlchkul0t6X/82HiyEGitXm4zxZ7vdjuHhYZRKJWzduhWRSESafekPks08yQi2q2ZDJD5/fRvc9Q4pnaoL55lEpwOAVjj7+oRCIfT09MDhcMDpdCIUCsFisSCRSEgkgM32OD82+5zg4RkKhaSXCp9RvV5HqVQ6yVNX/817ZA53uTlavo4539M1Vna7HTt27IDZbMauXbtaumvqc2RqlKddOPzlgA0Pi9ECK5VKeP7555FKpXDrrbfCbDbjve99LzRNw9e//nVMTk5iYmICbrcbN954I+r1Om6//XbpLf7bCv3i0TQNuVwODz74IM466yzcfPPN8Hg8GBoawvHjx/Htb38b0WhU4sqlUqnl/ZsVFosFoVAINpsNFosFTqcTu3fvRq1Ww/79+6UjHzs5rvV+1Da4+i6cpwP6DqXtro+bB9C+UynDo6FQCFdddRUcDgcWFhZQq9UwPDwMl8sFs9mMWCwmXVlzuZyQY/4/e18eZGlZnf/c9bv7vvXePb0zPTNARI0oiCMZDSRqFFSsiCmtAlOmpGKZCqY0KiXmV0rKJUlF80dUNG4pUygSRIIoMyIEnH3tZXq73X33fd9+f3TO6fd+c7unl9vLwH2quppp7vJ97/e+Z33OOXs5LEZ5BqfTiQ984APQ6/WYmJhAuVyG3W5HJpPBT3/6UySTSZ7KKJ8OqdPpAID3iyig5d8FrAwsnJubgyRJ6OzsRKFQgN/vZ4N3O2EwGDA0NASLxYIvfOELmJycxOc+9znMzs5iYWGBPScaDU8D8bRaLVKp1BUkp92AOKwQWH1/AzugXGjsaK1Wg1qtRjgcxvHjx6FUKnH69GkAy4m7QCCAfD7PobK1Zr3vlBu7kxA3S6VSQTKZRDKZhFarhU6ng9FohF6vZ+EsEiOuFVBOyeFwwGazobOzE5VKBXNzczyqeaPjXUXIRzbTv3crz7PZZyO/bjoPlKgXQ8sajYbDjOsJC+0liGdZrVbD5/OhWq2yZ6tWq+s8evn90HvFsyB/DeVYyGMWx/fSxNedWisaxU1GhcFgQKFQqItG0HRNp9MJSZIgSRIKhQKmp6frjAaRrLBT0Gq16O3t5f2Xz+cxNzfHBq4c265cwuEwvvKVr7BArFQqHCP90pe+BADM2qCQ2Q9/+EMAK3O/CRQqcruXh54tLi6+YhSMaLGS9xKLxRCLxVAsFnHq1CksLCygVCo1HOm72yD3XoQYlqIYt9PpxJ133onOzk7cfPPNUCqV2L9/P/x+P771rW/xCOONUrIp/6RSqXgsdCaTuSLksNV7Wi+uFs4VR+bSdwFX7gNifT3xxBOce+jr60MgEIDFYmHavk6n40T1tWB0kIBNpVL43ve+h97eXvzt3/4tDAYDnnrqKWSzWRgMBhSLxSuYlEqlkplf4nNt5LHo9XrcdNNNsFqtsNvtqFaruHz5MpLJJILBIAqFAo8Y327Mzs7innvugdPpxOjoKMxmM+655x4kEgl87WtfQzweR1tbGzo6OvCud70LbW1tGBwcRDqdxje+8Q3Mzc1hfn4exWIRuVwOpVKJ93izICpfcc0VCgV6enrw7W9/G16vF7VaDUtLS7j//vtx9uzZxp/VtKtaBeS5NMLS0hKAK+OpiUSijkVGC/hqYhqpVCqUy2WEQiEUCgWmWK42L36vgpLOZF1KkgSHwwGPxwOn0wmVSoXe3t46ixVYP51XzE0YjUbodDp0dnYCANdPZbPZPRFSIKzlTcn/TrTUVCoFtVoNvV6PdDrN0QASMiJIKOz2fa4FEvwqlQr5fJ7POOVQaK9rNJq69RK9utWMGbp/jUYDnU4Hj8cDi8UCq9WKcrmMaDSKarWKpaUlTujLmarbAfruSqUCr9cLlUqFvr4+FAoF3HjjjQiFQvD5fHC5XBgZGYHb7UZ7ezvy+TyGhoZgMBg4qgEsny2RELRVyNeZQN6fxWJhI8ZgMECtVuPQoUOYmppq+HnbrlzWwmpJTI1GA6vVittvvx21Wg2PP/44kskkM9BIKb1SvBY5lEolbDYblEolfvKTn8BisaCtrQ1erxdGoxGZTGbPKdrVrCetVovR0VEYDAbUajV4PB4MDQ2hu7sbbrcbKpWKFYPJZKorDiSsRSul/WI0GvHa174WPp8Pb3/721GtVvGLX/wCi4uLePHFF5HL5Tj3Qiykq2E7hDPdH3kqFJaR50hoDUSPH1jOzYRCITzzzDOwWq3o6upiUgSFFEWPa6P3sFMKWJIk7N+/H0ajEYVCAVqtFk8++SSzvzKZDJMZJElCpVJBpVKpKyAlAgNdN61ppVKBWq2G1+uF1+vF9ddfD7PZjHw+j1KpBL1ej0Qigfn5eZTLZbjdblSrVQSDwW0lENlsNs4vnTt3DuVyGWNjY7BYLHjDG95Qx4Brb2/nEHitVsPHP/5xxONxfPvb38b8/DzOnz+PaDSKZDLZlGuWk17EnKFOp8NNN90Ep9OJ73znO+js7MSHPvQhuFwufPnLX8apU6cafuauKhc5yFW2WCxwOBzw+Xx8c2R9Aq8MpbKWciAlWyqVsLS0hHw+D6PRiGKxyGGQvWyViiCrx2azMZ22ra0NZrP5CkUi3td62D6kmHQ6HQwGA2w2G6xWK2w2G+8bSZLqkpDi54phFtESpn+T0G8W5M+cvocEoxhDFy108X1E0Q+Hw8ysrNVqSKVSSKfTVygnwtX2y24YK5SDs9vtUKlUXJFPXrrRaASAhpGLWq12RWEl5VZUKhUkSUJHRwe8Xi8kSeLPp4LM3chLqdVqWK1W6HQ6zifR9VLivlqtMglFPB+0Fi6XC6lUCgDYIGkmxM+jELPNZsPw8DDMZjPnhOja1Wr1qntnzygXiplbrVa89a1vhdfrxetf/3pkMhn89re/hVqtRjqdRqlUagqbaLdAAkW0XIGVGCewvBYUa5+amoJKpcLvf/97lMtlhMNhVjCNsJpQ2QmLVEyki9dTKpVgt9vx13/913A6nXXtPQqFAmZmZjAxMcF09bWUJ62dSqWC2WyGJElwu92w2+3w+Xwwm824cOEC8vk8QqEQYrEYNBoNJElCLpdjZUEWsFqthslkAgDO95jNZg6TRCKRTa2F3OOgtZGH5+iQ6vV6rt8Q308FdVTPREnd06dPQ6fT4fLlyyiXy5iZmUE+n0exWOS4uZhrWq9BslPnKp/P4+TJk3A4HHjnO98Js9mMXC6HfD7POdj9+/cjn8/jN7/5DQqFAq+l2HWAPFe9Xo8DBw7A7Xajv78fJpMJdrsdABCPxxEIBHD8+HH2+vP5PFKpFIdNr0b3Fc/sZhPpVAxNxZRGoxELCwsIh8OYmZlBrVZDR0cHzGYzbDZbXWiTvm9oaAiVSgU//vGPm5pzljPxqtUqLBYL/uRP/gT79u3Dhz70IVgsFt6vZPB/85vfxOLiYsPP3DPKhVqhWK1W9PX1oa2tDW1tbchkMvD5fOw6FwoFhEKhV4z3IlYiiy4/xZ7J9afWHpR8XKsugg4csNJzTO4RiHmbZlro4iFUq9VMN7XZbHA6nbBarbx5SWAsLCxgYWFhTcUiWvEindlgMKCtrQ0Wi4W9lHg8jmw2i0QiURfLbyQQ5OwygpxyudE1WO//I+9LZOBQlXaj6yCLPZPJsDIpl8tM2RW9L5EJRUpLTrIQf8Tv2G4Qjb5SqcDpdMJsNmNpaalunza6Nvn1EcXdZrNhcHAQdrsdg4ODMJlMsFgsKJVKyGaz/Jxp7cjQEKvg1zJomoFSqYRoNIpCocD7cnp6Gmq1GhcvXmShvZoxoFAoYDAYYDQaUS6X1yyu3CzIG3G5XHA6nbBYLLDZbLDZbDAYDHXtpqrV6u6yxRpBbkVTz6SDBw9iaGgIH/nIRzjnkEql8IY3vAEDAwNM5XvssceQSCR249K3jNWUAlm0Op2urrAqkUjUHTj5pqNDIzKldDoduru7UavVMDMzg0KhwAeZQo8UiqCEcTOsIHLp1Wo1typpb2/Hbbfdxvx+0fWn5PRjjz2GM2fOIB6P1zFU6D5F6568DUmS0NXVBa/Xi5tvvhl6vR6xWAzZbBZ+vx/JZBJnz55FJpNhJSZfexIs6XS6js4ai8V4TTcjaEVFRvcjT5TSOpH35fV6oVQquQ0IKQryQihPRLRjykHG43EuOBTj5SaTifuRURcMADCZTHWKhzwh8pQ3m6vZDMhLvPnmmyFJEr7//e8jGo1Cq9WiXC7j+PHj7N3SmgErYXFSLPfccw96e3tx+PBhGAwGJgGQAgOWGakGgwHRaBRPPPEE4vE4crlcw33R6DrFsOlmlU0ymcR//Md/8DNVKpV4/PHHASx78UajEW9+85sxMDCAvr6+Oup0uVzmTg2dnZ0cWmumkU1nzOv14v7774fJZMLk5CTXoMnDs7lcDlNTU3W5LxF7xnMhkKKhJB4dckmSruk+O3LIPQl5jJ0sVFI6ZNmS4JILLxIYKpWKE9wA6jYgvY4UjBiSI09nq5tVvB+DwQC73Y7e3l60t7dziAcAJy9DoRD8fj8ikchVv5uUDNV2GAwGVsYUVi0Wi8jn80gmkygUCsw8omuS0yuBlZCDvEtAMw+unEpL8WubzQZJkliRiYKRwmZ0bVTrIv99tTCNGF4jZUZhONEDArClOqONQKPRoLOzE/39/bBarezhlstlDlfRz1p0YwBszOh0Oi6sFNfIYrEAWM7dlMtlGAwGzlusV540Q+5QGYYYYYhGo/z5xApt9AxEA8toNDadMUpeU3d3N/r7+zE6OgqTyYR8Ps/rJ38GSqUSHo+HQ7Zy7IpykT8oavVy4sQJlEolJBIJqFQqRCIRRKNRLC4uYmFhAUePHkUymWQr7FqBaLnSQaG4MVnxRNcloVYsFtmT0el0GB4ehlKpxNLSUh01OZ1OM41XTAqLtF5i2ZXLZVZAZK2TAHW73SiXywgEAltmn+TzeahUKnR0dKC/vx9vetObYLVaodVqWcHl83k8/PDDuHDhAls/q4XExDWjZKfJZGIq84svvgiDwYDXve51MJlMOHPmDHK5HAsaEjJi0Z342WJilJQUgC3VP4hKgZ4J3bvJZMLhw4dhMpkgSRLy+TxOnTrF4Ru1Ws3GATV3pZqWyclJ9sREI0PeHZsUK+09SZK447DZbEZ7ezuHEBOJBJ5++mkkEom6TsrbBYVCAZ/Ph89+9rPo7+9HV1cXlEol7r33XiwuLuJv/uZvMDMzUxfmFD0M+l2pVJBKpfDcc89hdnYWbrcbNpuN87JUiX/TTTfB5XJxvcyhQ4cQCARw9OjRdXkuzawjEXNgopEjSRLMZjNGR0cxOjpalzcTjQOPx8N1TfTe9ZBf1nqNUqmE1WpFd3c3HnzwQezbtw8jIyNQq9V4zWtew59TKBTqwu9msxmf/vSn8fLLLzf83D3juVSry00cI5EI/H4/8vk8otEo4vE4dDodJ10VCgV3CqZQz7Wc4KfNRuEeshJSqRSUSiWcTifsdjs/bJ/Ph3w+j8nJSbbw6ICQtUahHmBZsJLAIAGtUChQLBahVCrZ3bZYLEwY2IxwEa1tgl6v515YpFjonsvlMubn5zE1NVUX0lkLYgU6Fdep1WokEgmYTCYkEom6BK+8MJEUOV2veDDl4TgxTLaZtVgNVHVN6yLWAJXLZf5vWi8yBqiuQLyf1b5XVDSkkAkUjiNLWGSrif/ebuIHhTXJ8lUoFDCZTDCbzex9UkiP7rnRNRE1W6vVYmJiAhaLhY2vYDAIo9GIG264AZIkweVy8dqSh7gZbHZt5Osq/2+lUsmMSrmxQO8nZtnQ0BAymQzm5ubWlXtZS8mQovD5fOjt7eWO28QEq1arSKVSKJVK/F3U82ytOVJ7RrlQ0nF6ehof+9jHYLFY0NHRAbfbjfe85z0AlmsmMpkMnE4nKpUKJicnEQqF8Pvf/37VuN9uQ24ly9lbwMphc7lcePe73w21Wo0zZ85AqVTi9a9/Pbq7u/GGN7wBer2ek4Jf+tKXMDMzg8nJSeRyOVYKJCCoCwIJblF4k2ckhhwPHTrEXH9y1TcLCs0ZDIa6qnHyrKjCmKxr+k1CvdFmJQIAKRWFQoHFxUUOB2q1WszMzMBut+PQoUNwOp24ePFiXVxdtBhJYIvJbnl4bLOKhTwkeW6MBKrRaEQwGGSyCil4CpNUq1Vu9UNhM6vVykwwMbwpJyOQ8UCfR8YHWZ1zc3OIRCKYmZlhYyKXy7FVL5IAtkPBkDdutVo5EU9JbArRUY4wk8nU5WXlYUoyUvx+PwKBAC5evMgKSaVScc6vp6cHPT09OHDgALLZLJ5++mk+L5t9xht9H4W0aJ3FvwPgZ3vjjTeio6ODc6jy56tSqWC1WvH5z38eExMT+Ku/+ivMzs6u+r1yAo+8jqVarcJoNOIP//APMTg4iH379sFsNvPaUqfqU6dOYWZmBr/+9a+RSqX4/C4uLu7NIko5KO54+fJl7phLiWFJkjA8PIxsNgu73Y58Po94PF5nje5FiEpktU0pF0Ii793n88Hn88Fms3Gik6wvMQwm/igUCq7cXc36Fj0Zeg0d/K3Gc+keyDInb0OhWGn/s7S0hEwmU1dzIM+FNGIJiUKPLH2tVsuhVaPRyGwaSZKg0Wg4qSvPa5EVT5XP4XD4ihBZMyB+J+W6iP5qNpvZAiQPk7wYkSlGQ8BE1pO4XuIzkysdWjNilYlDxeLxOFukW01YrwdK5XIzTiJ3iOzIXC7H5QbrrUUhY6VYLHLiGVjJNep0Ol5LosCLHmOj+92tKEilUkE6nUYul2NWpfza6Fm73W4uDF6rTREZGp2dndxuRySKAIDFYoHFYuG2SZSLo+4F2WwWly5dwuzsLM6dO4doNMpFu9SeqhH2lHIBViiKtdpyYVittsz9tlgs6O7u5nBYKpVCNpvl5O5egyhMgBUhTwpBPPSUE4lGo/jZz34Gs9mM7u5uPoR6vZ5fXygUkEqlEA6HMTc3h0AgUFcDAFxZYLYayBtIJpM4ceIEDAYD+vv7r+jpttH7JoE9MDCAffv2oVAosHeRTCbxmc98BufPn8fZs2e5cE60xMU1E2s/6N5EkHChKmK3242enh4Ui0UMDw/D7/djYmKCK7PpIJLX5vF4cPfdd6NUKuGf//mfEQqF1kweXw3y5LooHOjQkiIBlvtNycdLkBKm11CuhUIQarW6roaF2tYDQCwWY2IAgLr6jUKhgImJCf57o33SqENCM6HT6XDo0CGMjIzUhfpKpRJOnDiBc+fOXVF1Tvd5NY9BbqVHo1FYrVYMDAygs7MTGo0GlUqF85enTp3iZrnAyhmldV/tuzazL6jGpdH+pTMTi8XwyCOPYGhoCA8++CDXW8mfB+VoTSYTs0MpQiE3ZiVJQm9vL7761a/CbDbj2LFjLDfJe69Wq1wPtrS0hHK5jB/84AcIhUI8LmViYgK5XA7xeJwN3KsRSfaccgFWmB5UUUsDk4hRQ4druw/CVkCsJpo8R1YxWZyipQ6AQxfBYBDpdBoOhwM6nQ6RSAR6vR7JZBIajQaJRALhcJhrOIrF4pYSsBQWogFtokWzFRDd2el0AljJqUWjUVy6dAnj4+McsiLFQqwpj8cDhULB95dOp9m6p2smiDmWtrY2+Hw+dHR0oFAooLu7G5IkYXFxEblcjr+HFB2FTEZHR9nricViW658Fj0f+XOmzxbrj+SkAlKwtOfJ21EoVvpxicqHhBP9lrPeREVE3yvfM2KoTaVSbUsNBUGkFFPopVwuY2FhAcFgsC6OL/emRAWz2tkXWYVGoxFms5lrNNRqNTo7O5FOp2E2m+taAZFSkg+za1ZC/2p7qlQqYXJykvdsuVzmlkj0fOnZZbNZZDIZSJLE4V1R6NM66PV6OBwOdHV1wWw2Y2xsjFvr0DMX2wYtLi4imUxiYmICfr8fwWCQo0TkUa43ZLotykVkymwGYizV6XQy558WhJKhkUiEZ5vsBuT5FPobhWo8Hg/uv/9+AMC///u/11XX0wMlYU5WDSXyo9EojEYjZmZmYLVa4XK5mBGWTCbx8ssvM7tnq6CBbQqFAvPz86sWRW0EBoMBN9xwA9rb29myeuaZZzA+Po7JyUkkk8k64UjzNbq7u/G+970Per0eZ8+eRSwWw5kzZxAOh7ntuChwJElCW1sbRkZGcPfdd8Pr9cLpdKJarWJoaAgLCwuoVCqYmppiL8FoNKK9vR33338/BgcHcejQISSTSQwPD9cV6W5VwciVIIU9KBciWpoUXyehSH3kfD4fdDod979aXFxENBrFyZMnOU9FtUoqlQoWi4W9e2oVI1a0i/8tv15aTwC8TxsRNbaCYrGICxcucM6UDIJEIoEXXngB58+f5+QxrZto8IjW8mqkDFIqY2NjGB4eRnd3N6xWKwvp2267Dfv378fFixcxPj6O8fFxlEolDtW53W5UKhXeb2LuZyto9Bl0D0RMCgaDSCQSuPfee9Hb24v77rsP7e3t6Ovr41BfJpPBY489hrm5ObS3t0Ov12NxcRH5fJ6NI/Lm9+/fj/3798Pj8cBsNuPWW2/lMHWpVMLMzAyKxSI6OjoQDAbxyCOPYGpqipU8eb6r7Zu1sCc9F2ClwC2bzSKdTsNkMtUxgBSK5RYOYs+x3QYdBMqV9PX1off/Ov7a7Xa2nunBitaZaF2KVvvMzAwMBgOCwSBz+TOZDBe9NQsUzxcL6TZ67/SbDrG8lmZmZgazs7Ms+Ohexapgl8sFr9cLvV6PQCDA9EtKRjcCvV+v1zNDrVar8WiGzs5ObuUiDoUir4Cum8IMsVhs08neRhA9FBKa4vOnNRCVDXUfoNY1dC9U2S3m3xp58CQQGrU1WSvcIz4T0RNqZo0ZCVSKUOTzeeRyOaRSqStox3QvV/s8YMVjoR+LxQKj0Vg3A4k6gdA8IVLE1JeNcrwUMdmuIWIiM4/ukcLexWIR8XgcsVgM586dQz6f57qoYrGIZDKJ2dlZxGIxdHZ2or29HT6fD9lsFhcvXuRrNplMGB4eRl9fH+91jUZTZ9zS+aTw+MTEBHcTF42LzWBblEszhX08HseTTz6JAwcO4LWvfS0Ljkqlgng8jkgksmvKRRQOxJCy2+3o7u7GRz/6UXR3d6OjowPpdBpjY2NwuVwIh8NIpVJsFcnbs9Dn0v+bnp6uo4lS3LiZ9GvytIAVRbcZiHRqs9mMVCrFMeFsNovnnnsOZ8+e5Zi6eP1Up+L1erlq3G63Q6/X85C5c+fOIZvN1rXMKZVKCIfDmJ+fRywWg9FohM1mg1qt5rYi73vf+3D58mWYTCbMz8/jwoULWFpawjPPPMMJSvq+oaGhOs9ls3mXRqC4u/w1CsUyNZyYWpIkwW63c0jEaDTy7Bti9JG1TxYlhXLI6iePRb7OV8tZZDIZjukTW61arXID1a2ACCOHDh1CX18f2tvbYTQaEQqFsLS0xMPixOJh8RnIf4uCj0gwYq6T8rGkaImCTev73ve+F8lkEvPz81haWsJPfvITZLNZeL1elMtlnDhxYlvKHEjBkYIV84oiEWdhYQH/9E//BJPJhO7ublYQtAc6Ozvx0EMPcaPWVCqFxx57DJlMBu3t7XC73bj++ut50KBIlMlms8wSDAaDePzxx7G4uHhF78Kt3Pue9VyAlWTt9PQ0JEnCwYMH+e+FQoGbFa42rGanQYfHbDazYCTPizoDU3Ww3+9fs5eWGCMXrdJGNNdmQJ4b2AhIOZGCpToOutZUKoVoNMouv/yeyfq22WxwOBzMWhFbnpBnYjAY6rxV8gZyuRyAyw2CAAAgAElEQVSi0ShsNludwKGkpdlsZuFC+a1wOIxarYaLFy8CALNjxPtq9jqvprjlioy6z1qtVlitVhYOJpMJ2WwW7e3tsFqt/Hl0T2SBXy3Zuto1kFCnfA+x2fR6fVOq9ykP6fF4eNhXLBbD4uIit+pZL6GiVqsxMYMiBgqFgr0smvKYzWbrmGn0QyxBm83G60bMOfIKd9JwFT1cOvtLS0uca6UzQKFgl8sFm83GNYCSJGF0dBSpVIpJUHa7nZmlBAqDJxIJzM3NYXFxsW4QWbPueU8rFwBIJBL40Y9+hH379sHtdsPlcvGm+uAHP4hgMIgTJ07U0RB3AyJF0GQy4eLFi7h06RJOnDiBcrmM9vZ2DAwM4ODBg4jFYnU1GGt9phiqAJrf5Zg2HVmlm/k8jUbDVigdYIfDgfb2dmi1Wvz0pz/F1NQU5ubmmOJIoPyaQqFAb28vhxJrtRomJycRCATg9/uRSCQwNjaGRCLB1eyiYE2lUvjtb3+LaDSK/v5+tlhpQNPCwgKmpqZ4XnqhUMDp06ehVqvx/PPP8/wP8hiJUbbZEOF6BCO9liAKM4PBALfbjdtuuw1Wq5XXyefzwW63Y9++fVAoFFyRPjExgUgkgv/5n/9heqgoUNbzXEnoUu7GZDKhs7OTBTGNJd/MWlBIymKx4G1vexuHKmOxGH72s59hfn4ely5dQiqValjPsprho9Fo0NXVxe2iiHWZy+Vw6tQpJBIJHD16FPv27cPBgwc5nFgqlRAMBhEMBjE+Po5AIICZmRmk02nOsTR7yiOBQnF0b40iF/Q6sR6Mohe9vb34+Mc/zvRiMookScLrX/96XhcKF4vhN/JavvjFL+L8+fPMNqUcaDPDn3teuQAr8UmicJLb63K5AKCuH9NuQYyp08OqVqvw+/2oVqvo6OiAXq+Hy+VqWBwlJwTI/97ogDVLwQDNCWWSl9DV1YXOzk4OtS0tLXHbmkbfQ4WQIq2SQjriD9C4JoHWPZFIIBaL1eWv6P9R8aXYDYBCQFTAJknSFcniZrER16NsxPyTXq+H2WyGy+XigVrkxVEeSpIkrkifm5vj9261TonagVB7GjnFdaMQz2t3dzcrSPrMYDDI3XVXyyOK+1/8Lf6IOSZSDtTOXq/XY//+/XV7g6j4oVAI4XCYCzipBGI7vZbVwk5yJSMW9tK/6TobMf6IkCFXKvR5lMeemprC+Ph404aNNcKeVy5WqxX33HMP+vr6MDY2xvFDqgAna0ij0exaY0vKAeXzeUxNTSEcDnPfq1KpxG47HXyqIhYPrZhAJWELrNQjiBXs9Hq5G72Ze2/GASqXywgGgyiVSvB6vfj0pz8Np9OJUqmESCSCS5cu4cKFC9w/TAQ1U6SRrmq1Gv/6r/+KXC6H0dFRDjVms1lmEsn7kFGOIRwOw2azcVsYIigA4PBLMpnk91G7GMppzc7OMk1ZrVY3rEtYD1YLc671WvLGTSYT3G43RkdH0dvbi7a2Nmg0Gh4jUCqVoNFoMDg4CIPBAJPJhHg8jvHxcUxPT7PHQnmGzewLnU6HgwcPQq/XIx6PI5lMMqtooyAB53K5cP/992NoaAj9/f18dlUqFc6ePYvz589fNadD9yFS15VKJUKhEICVXnCkYNLpNLLZLB5//HFMTEzgNa95Dex2O4dZqTPAs88+i/n5eW5sSd25t7PH2npJCnTPRqMRCoWCc0Sf+MQncMMNN+DrX/869xmja5YrYUK5XMbi4iJmZmY4GrCdCnTPKxeyaKmFOG0KSh7rdDqMjY2hXC5jfHy8KTTazYLcWJVKhVgsVjeeNZvNIplMcjNOeV0D9d+y2WwAwHUnlCMQE8xydgyFf4DdqS6m76e6AAqpUH+zXC63Kp2ThDspXAqVUK5KbEdCrCJaA/nBEFuUi58t/l0U5vKDWCwWmZRRq9X4Oe0kyPsguj3lruhZU7seo9FY1+w0k8lwLUIzBUazvDdSnNTORmTpUXJ5vXuXromUDN2zvA6DPJOFhQV4vd66ThDUKcBkMiGVSnFYiN63m1EQOcjrUyqV3IxUzCEB9cMGG4H2u9/v55D8dueT9rRyIcuTklqDg4M8w4EsU7PZjK997WuYn5/HXXfdhfHx8W3v6roaKC6eTqfx8ssvc0K2UCjg2LFj0Gg0ePnll5HL5biSGlipWu7o6MDhw4dRLBbx3e9+F4FAgJOL8voOUq6UwCZ+u+j27ySIUkrJe0oGEwtmrboR6l80MTEBo9HIBaSLi4tsgYojaikRLAoBnU6H0dFRjIyMMMOM9ojb7UY8HofFYkEymWRFR0KKwqqVSgUWiwV/+qd/CpVKhWPHjuHEiRPbvnaiMCTPloQFFU2SV9vZ2cmFcQAwPT2N+fl5BAIBRCKRupwFfQ59x3pA3vaJEye4e7LBYEB3d/emZyhRKGdmZgY6nQ4333wztyKh1veNeoc1gmhYUdiVWpo08uDJq15cXORzQwZHT08PtFptXf+7vVLWIBqeVqsV73nPe6DVanHs2DGYzWY88MADXANFBhkA2Gy2K6jppFgSiQQefvhhHD9+nL29zWI9Ifk9rVwoRGG1Wrm/GAkCyllQWMztdnO8cTdBDzKTyaBUKtXN7yYrTWz/QfdCDCuj0ciWK9FLRUEof5iN2sjvFsiboPkgdIiJ8RQKhRpaWGRh+v1+6PV6bmAoJqTFVhXkyVHSnWoWiPMvsoIo7OZ0OusGSYlUVzFuT16UyD7aCdBzFvMGVI+wWnujWq3GrYBoX4nWu/i6jYAUeq1W4w69W1kHer/YoUL8oS7F66ktEq12cZjbekLD4n4io4Io13uxPyF5Vw6HAz09PTAYDJifn4fRaERbWxvsdnsdLR+o7ytHxi5FBFKpFCYnJ7G4uLgjxueeUi7iBiahMDAwgHvvvZdbc4sMCGAlSUXN63bb8iALiA45zZcmYUYxfzpkFN9Pp9MIhUJ4/vnnUavVmLFD8V+6d3EkK20e+t7tTkKuBop/Uww8Go3yvBW9Xo+3vOUt6OjowKOPPopIJHJFa5FSqYRAIIAf/OAHAIBAIACNRoOxsTFuBW61WnHLLbfw9LtMJoNUKgW73Y677roL/f39OHz4MIxGY51SUKvV6OnpgclkQm9vL+LxOFKpVF2IhH5TGPPkyZNQqVTcoXg71kskcBCq1SqSySSTGuLxOLcDIUG6uLhY1z7+0qVLmJiYQCAQ4AFpole3keun1xP7Tkwaix0VNgoqCKUfEoBEz/f5fMzculrUgRiZRPmnhpVUGyWCZIXT6eRJn2IYlPK2brebu07vtvwQFYPRaMStt96K/v5+3HbbbdDr9RgYGABR0sWCUSI3yRXL0tISjzKZnp6uyzluBev5jD2jXMgDIYuEYt9dXV3M829UiVypVJhqul3VtJsBbVLa8GLyXrSwyHoj64KKqIDlHILT6UShUEA2m607QCSgRCt3N0HGAPHqxYpor9eLaDTKXgNdOx0Mei0xvZLJZB1LSSwgrVarcDgcrHTcbjcGBwfR09NzhWIBrrRQRa9Gfv3A8nMKhUJQKpWbTuivhbU8AHqepVKJlQx1HaBOz6FQCJIk8ZC4WCyGVCrF3vBq4aH1gq6BwphE8V/vzB05aAZRR0cHPB4P5w6AlZzher0i8vD37dvHCW6aabLa2ddqteju7obX660zSoGV8DIV/UYikQ3f31ZxtVZZFCalGjKqdxL7zdF9EOgZFotFLC4uIh6PY25ujmvrGqGZzFPCnlAupFjuuOMOOJ1O9Pb2MhXT6/WytdMI6XQaDzzwAI4fP475+fkdvvLGIKtBHvcEUFehLYZiSMhSKKxSqcBgMOA1r3kNqtUqjh49ilAohEAgUGehUQfjZrYr2ShqteVmom984xvR39+PgYEB2Gw2ViZdXV0oFAp1xVzk8kuSBJ/PB7VazWEdrVYLg8EAn88Hk8nE9G6/3w+VSoXR0VE4HA7ccsstsNls8Hq9nPymMAEpMFJidJ30b9F7IIYeecCpVIpZas1W2vJnJPdgSqUSYrEYfvOb38BsNnNOLRwOQ6FQoL29HXa7nQUl1QIRjXer+4D2HvVAE8cBb2YtHA4HPvaxj2FoaIhH51KYjzz8aDTK1P3VQPult7cXDzzwAGw2G86cOYP5+XmcP3++bjotnSu1Wg2Px4OPfOQjGBoaYoYa3Q8J5eHhYSgUCvacxOvYzjNFe4zIKqJBQH87efIk8vk8pqenYTabMTc3x1447Xf6LNHzTKfTCAaD+MpXvoKJiQluQEm5GTnoc5qZr9415UJhCGpv4XQ60d7eDofDwdRiAFx5bTKZYDAYOCFHh5FYYtPT01tuNthMrCZExH+LyoWEBYWMaM45De6h+eKRSIQFiOix7IX7pgp68hLEZHujud+UdAfAFiR5bxQupDoU8dnSrBi73Q6LxcIKhboZkMdD76d1cjgc6OzsxNLS0hW93eg3CTwSPDu5rqJwCIVCSKfTXIdA3hQlsePxeN3aNfMaGjHx6P9tFGQ4kncgTt6koXFrFRPTc9DpdOjv78fw8DA6OzthNBrh9/sRi8WuyKXIQTkVeq5i3lapVKK7uxu5XK5uCqao9LdzD6z1PZT7okJPp9PJ7VmoUal8oibtIZqZNDU1hcuXL/Psq53cz7umXCRJwsjICHw+H66//nq4XC4cOnQIpVIJTz/9NCKRCM6fP49SqYT29nZ0d3fjE5/4BBeViRRVUjxU/LQXICbir3ZNxAihUa0ajQYDAwNcxAYAw8PD8Hg83IpbbB2zG+wwOWq1Gg8Q0ul03PSPBjaZTCa2igHUHfJIJMIdW9VqNcbHxwGsMIjIqnW5XBw+UyiWG5cqFMudnMU1KRaLMBqNGBkZ4fBaqVTCvffei8uXL2N+fh7z8/PMwKPJlmKIolarcav/nVo/Ao3opT0uGiDj4+NIJBI4cOAArFYrBgcHeZDcdsTSt/qZxWIRly5dglKpxNjYGCfuS6USzp8/jwsXLtTRgIH6IkmaVTM4OIiHHnoIPp8PLpcLhUKB9w8ZKfTcxOeYSCTwxBNPoK2tDUeOHIHT6WSWGPUfu+uuuxAMBjE9PY0zZ87g8uXLHGbb7nMlhvPkHSEqleXBeplMhnuI3XDDDfB6vRwS7unpqSMk0Dn8/ve/j/HxcUxMTNT1oFsN2xFW3zXlQgKUDka1WkU8Hkcul+NGdrOzsygWi8yGIeuNDhyN2dwJzvZmsdbmFJkydLhobguFaIj+KbfeRaUi/m03QPkWh8MBh8PRMK5N+Q76mxjjpXwTvdZoNAJYGXRF4R5xpjfloarVKubm5uraZOTzeZhMJvh8vroGgXq9Hna7nZWffKaKGEqja9tp0PcTBZ3m3VCITrQ+iUGXy+XqGFfNuIZmgEbyUtFzPp/nvVAulxEIBNiLlEOkift8PnR1daG9vZ2Lk6lvWKNKdXo/ebPUJePChQvo7OzkDtOi4qb6IfKsRKLHduwDUYGK3yc3FKk4e2FhAfl8nqMZcpaYCPJ0qbXLemTjKybnolKp4PF48OEPfxhqtRoPP/wwZmdnOSSQSCQ4zk4Ct1Qq4T//8z9htVo5pvj8888jFAphbm5uV5gem9l44qaigVVqtRpTU1M8q4EYV5S0o0NC8Xg5Y2y3vRaj0Yg3v/nN+Iu/+As4nU6mnVI8GVgepUr0agIVnEqShHK5jEuXLvFwJ5VKxW1g0uk0CoUC4vE4VCoVfD4fVCoVjh8/jlqthpdeeom9G8rN2O12FItFFkyUoF9aWuJcBlmNYrxZtJ6pSeZG0WhfyPM+V3uv2LCU3kP33t7eDpPJxGtF7YWq1eqqwno3YLPZ8K53vQt33HEH9Ho9zp8/zyzAXC6H5557DlNTU0zTlyf6qXjwXe96F4aHh+F2u6HVapHJZJBOp3H27FnMzMzUjZ+Qe6C5XI4nXD7//PPo7+/Hgw8+yPORSL7Q/BKRdEKf04iFtlVZI5IJqM6LQsKNvMdKpQKr1YoPfehD6Ojo4HoWeViMUgbJZBLhcHhd10nGC4Arcj9bwbYrF7JqgeXku1KpRHt7O4aGhtDR0cHtFijhRApGRLW6PB52fn4e0WiUe3edPn1625rL7QRog5ESIZYO1TrIrXsK7+wlxQKsJFupHxVdL12fODVRBD03+v+RSIQVDimhWm1l/ADtC6KdE6V4cXGRXX/qFUW/gfraiHK5DIfDgUwmw1TjRlbjehlMzUYja1lcT/LkaE2ISURV76IVvNug8QsUspqamoJKpYLX6+WRuUS1F4U5hXnImyBhnkwmodVqEY/HEQqFEAqFeFig6H0SaL1yuRzy+TySySQUCgUmJiZ4iiMArkujNkQajeaKbuQitro36NyTJ7+eVjA6nQ42mw1OpxMWi6Whp1Gr1bhTRqNxC41AStxutwNYHg3dqFZqM9hW5aJQKJgFBgBPPvkkzGYzPve5z2F4eBj79u3j/jaU1FvthjKZDH7+85/XhUZ2W7FsZvHFRD5ZTRaLBWNjYygWizh27Bi7/I0smL2iUESQwKNEPhkJNMY2GAzC7/ezhUnPrFAo8LOkug6FQoFz587xhqcBaVqtFl6vF8DynPh8Pg+v14tSqYS5uTlOfJOiyufz8Pv9CIVC+OUvfwmTyYTDhw9Dr9fjpptuQl9fH6LRKGKx2BXdD0gobXYQ3WoHX/631SAKSfpdqVS4xicSiTCt12QyoVqtcv5AzoTbTZAHcuHCBaRSKfzoRz9CMpnEL3/5SyiVSvbCqfyA8icGg4GLpyVJwrFjx3D8+HE8++yzUCqVSKVSSKfTeOGFF9irJcjPB3mzhIWFBfzjP/4jJEmCQqGA1+vFe97zHjgcDrz97W/H4uIiT8qksGmz15OMMQBcd0I/jfYb9Xo7cOAAzyqam5tDrVbj3nOkgGOxGCvcq42BJ6Vlt9vxZ3/2Z1AoFHjyySdZ6YsNYzeDbVMu1Arb4XBwDoFA1izFx9eaa0Ig5gSAdWv8vQr5ZqpWq2yh0UbeTWrxRkFJdNHrIhc/n88jEAjwrAi5kBWT/KJXRgKH+kbRZ4qHhf5GP+LYX/r+QqGA2dlZGAwGhEIhHsAl1sOsprCbsf6bjWWvJhRo71OYlLogiOy63fK65KCE9PT0NDKZDEKhEIcvaV4NMbioKwVR8gFwSDgcDkOlUjHtPh6PI5PJIJFI1HkYIgUZaNx5mGo/KGeRyWQQi8V4NLLYi241j3sr+0J8PuL5v9p7rFZrHZEpHA6jXC7XsUqr1Sr3SaMGqLTGje6D1kuSJHg8Hg7T5XK5Orr4Zu9325RLZ2cnvvWtb0GpVOKBBx7A1NQUkskkUqkUPvOZz6CzsxP33HMPz1/YiKLYrd5hzQaFuUho0sbbK8JhvSgWi5idncX09DR3UshkMvjxj3/MldfRaJQPBEGkAAP1h7ZSqSASiXDhHA1M0ul0GBwcrJsdQ2FF8vYoxDg9PQ1gueV/rVbDD37wA9hsNgwPD3MLfnlSX8RmD9VWQmtyQSmGjAwGA6677jrY7XaYzWYYDAbY7XYenJdKpbCwsFBXTLmbiEajePTRRznM6Xa7YbPZuP0IWe+kWPbt24dqtYqLFy9yqIss8lqthqWlJWYPUmiQXiOGPi0WC2q1K/vtASthVsoLKpVKvPjii1wDQ41vjUbjFd8v368bBXUlUCgUHHWRM9waPTOlUsnPnHLRP/3pTxEMBmGxWNDR0YEPf/jDUCqVeOGFFxCPx3HrrbciGo1ifn6eCylFuSnmtYxGIw4cOACNRoMXXniBzyj1QNysvN025UKHvlZbpnRSfLxSqWBhYQGlUgmLi4vswbzaQMKMKLRyT2WvhDbWg1qthng8junpaVQqFTidTqTTaUSjUUQiEczNzdURERrlFBp9JrHF6IDT+3K5HNRqNZLJZMO1I2FDyVHyfiin43K56mLS273O6/18Ocuu0d+oXsThcDDzjaZ40qiBRt7LbuwlyqMB4NkzYjNNunZiEooNOwGwVyI23yT2lFxhkDIWR1qs5sWJSoI8GYPBAAC8V2hEMtVZiftvsxDzz+LEzasZIUTwSKfTLDP9fj+WlpZ4HMXS0hLUajUCgQCy2SzPyxFryQj0d61Wy/WFlHMxGAwwGo2IRqObvk/CtigXhWK52vWhhx6CUqlki5Ni2LRBAoFAXVjk1QRSLCR0yeUXLTGRbijfiHtJ8ZTLZUxMTOCRRx5BZ2cnDh8+XNeIc2Fhoc5yWu+9kOAnS5MGOSWTSba8KF9HwoSozLTvRGJBNptFNpvFr371K/5cUUhdrRXHeiEKoY0oFtFTEf8m0u+dTic6Oztx55138ujmYrGIW2+9FdPT0zh58iTnGOTt5zdyPc2CmF+bm5vjnIrZbMbrXvc6mM1mmM1mpNNp/Nd//Re3vSEjgjwUAOzpNPI0a7UaKym6b7LM5c9TXItcLofjx4/z2ms0GrhcLuj1ephMJvZsxd6FmzVIdDodT4p89tlnuYXParkWQj6fx0svvYSTJ0/i6aefZho3GWuSJOHcuXPcoFWlUuHy5cvcpRyoZ7gRvdvj8eDOO+9EV1cX2traUCwW0dHRgUqlwnmyrZyFbfNciFoqSRKcTidMJhNmZmauOMzUQl8UBq8WiJ4LKRcxsXwtIZ/PY25uDtlslsNWFNqgscKbfbbyHBXRgxtZfvQahULBwoD2HAkdshrFhKcYqydPWqfTbapf3WYET6PnTQpFzmgTX0/3ZLPZeJ46FRMTE5HCr2LPsJ0EXTd1yibWEzHcyNuifUJehJhPo3VYC6KXS4qCwl9yT0e8LrElE9ULUV83IktQrUmlUmFDeTPrsJkzQNEfhULB1yDu6VwuhwsXLsBoNGJoaAiSJLFHT6QYylfTGgFgQ0yn0zFJhohVFouFu0FUKhXOlVE+TOxisBq2RbmQWxoIBNDW1oa//Mu/RKVSwZe//GUEAgGOo3d1dcFms8Hj8SAcDuN73/se4vH4dlzSngVt7t///vd14R9KqImtXlbLDewFVCoVhMNhpNNp/PznP4fNZkNPTw/nNsQwwGYh3j+FQCjWTsKLlHWj94h/E9eYDg11lqWuzNdddx0uXry4pWsmrOWlNQqH0evExqf5fJ7zDr/4xS9gtVrR+399+IhdNzIyAovFgunpaSgUCvT39wMA14OEw+EdJYuIgrxSqUCv1+PIkSPQ6/WYmpri8dfU6kbMyZVKpbo2PeJayJ8nebDk5VEBJ4VD5UXIq4GMXbvdDrfbDbPZjAMHDiCRSOCRRx5BJpPB7bffjmeffXbDa5HL5fDMM89AoVCwt70eZUOJegANQ7lE006lUohEImwoOZ1O/Pmf/zkA4Ic//CFCoRDPMgqFQiiXyzwL6NFHH0U0GsXMzAyMRiPe/e5382C3VCqFJ554AslkEl6vF8VikXuerYWmKxe6MY1Gg7a2NvT09MDhcKBQKHCYpLOzEz09Peju7uaHGAqFcP3112Nubg6zs7OvqjyMeDDkMXOyFOhgUP3LXlMwdG2FQoFzGxaLhVlNjQ5RM5SNPAQlKuGrrdNquR5gOcnc1dWFy5cvb/ra1vO31TzURlY2hVGVSiUWFhY4PEjt52lsMzGfFAoFJ6blPfl2A+LaUuFgOp1GLBbjEBFQv9flQvRqny//Eb93vddIHhQpMyIIUO1NV1fXpmZHUfkEsPGcqhjKk79PTC2Q3KQ9QJ4KsfPIMyGmLimjixcvsoICVpRYI4LReq+7qcqF4uA6nQ69vb34whe+AIvFgpMnTyIQCMDr9WJsbAxf/OIX4fF46toYVKtV3H333fD7/Xjve9+LycnJV1WIDFhhj4nJSRISlIAW54TvRZTLZYTDYa5jqNVqTR89LeZGxLVoZNGuBhIi9N+12jK9kz7HbDbjyJEjOH36dFOuea28kniAG3lZdE3ZbBanTp2CJEkYHx/nGiC1Wg2r1QoA7PkPDAxw0Wg2m0Umk9m1Nkl0bzSwamJiApIkIRaLIZlMYnx8nJP3NCJcHsKjfSQPD4oQu26TJ011Luv1+AuFAs6dO8fJburhRZ6Pw+HA+9//fjzzzDObWouNGlSNiB2NID5XytNRHovaaxmNRi42Jm/n5z//OQDUKfdoNIpvf/vb0Gq1sNvtTCCgmjLx7KzVraDpngsVCLndbnR3d8NgMOD06dNQKpUYGRmBy+VCW1sbdz4WDxUVNv3BH/wBjEYjdyidm5t71XgyYj6KOPdi3P1aAG1estK208varIUqfz15BuJn7pQwFj2tta6PBGypVKormFQqlYjH42yoibkMssD3AjWZQPeZy+U4ZEqjFoD6eicRV1MQopImQ229oSfxO2h8gV6vRzwe51IJysVsdrZNo+/aLtD9h0Ihvm75vB9qtUWvB5blDs3IojwYgE2dBcVGblChUFz1xSaTCW95y1swPDyMBx98EGq1Gk899RTK5TLe+MY3wmg0MqtDtDSAlbBGOp1GqVRCLpfDwsIC3v/+9286PLER1Gq1dUvv9azFZkHeH1kOALhGZD0Fp81AM9aiWewr2Xdd8bnbsRbU1+r/4vU7si/kIYjVhKmYb6J/U42HWq2GTqfDddddB61Wi2QyiVwuB7/fzy1QtuL1bmZf0HUqlUp4PB7cd999UCgU+O53v4tQKMSUccrVinmWdXwH/xbb+VMObrM5SpVKBbvdDr1ej/b2dm5FQx7R+Pg4crncjskL+b5Yz+vF2jnqo7ZRYg2F5a+2Zxrti6Z7LmLsPRaLQafTweFwcMKR+vY0ukE6NFarlTeHSqXCjTfeCKVSiaWlpbq6hr1iiW0XxBwChX+upXveiWtt5neInR+os+xOhh/l3stqcXkxxi6+jmi4VOMjdinYK2eGiAlkIYv5kY0aTat5evLP3SzovWIfsEKhgOnp6T019bYR5Pe/2QLQrez/pnsuCoWCOeI33ngjhoaG8KlPfYpjwqQ9KXy21qAjClVEIhEsLi7i7/7u73Dp0iVmfxVZpqwAACAASURBVDR7DO1e8FzkFgetD1lzq22OZte/7IW12EkQRbZWq3GowGg0kpDe0bWQ52DE31d7D4VSHQ4HVCoVKxnqML1VKvJW9wW1haIQONW/lMvlOir4RjwXefRjs2FSEdRyxeVy4a677kKlUsF3v/tdHsX9fx7Aq+qMrIUd81yIAy52rxVZTxQfprnWoutF7i0JV/J4qtXleRyvBsitOfFvLWwv5MWru4FG+Zf1vId+U+EhtTMhT2y3CTJiPqRSqXCfLLGivtHrxWchrosY8gGwocT91a6T6mPop1qtcv+6ayX3udvYtiJKr9eLz3/+81Cr1fjkJz+JZDKJ22+/HZVKBT/72c9Qq9Xw9re/HV6vFwcPHkS1WsX//u//wmKx4P3vfz8PeQJWYvczMzNYWFjYUiz1WgEl8NfqOQRsPBa7k2hWzkUudLZDSNZqNaRSqbr4dDabbVpYbKOe5YaTpwpFncdDZAp5ndROQ8yJUI+sO+64AwqFAo899hji8Tj0ej0bjtSSBQDTfUlpiHudwufUPblUKjWlhIGeP83/CQQCePzxxzkpTqOG99pZ24vY1q7Ibrcb1WqVQ1kHDx5ErVbDpUuXAADXX389AHCScWlpaU1WgrwFwysdjSzYvVjjshqaca1yKuZ23TvlMahrxHoqwlfDdj2jjRgSYqudvbRfVCoVzGYzr3elUmEygvxcr+ZBilR9anrZqB5jK9cILK9dqVRCIpFghbNWGL+Femw05xICMLN9l7Or6KnVau71vri1FitorcUKWmuxgtZarODVuBYbUi4ttNBCCy20sB4or/6SFlpooYUWWtgYWsqlhRZaaKGFpqOlXFpooYUWWmg6WsqlhRZaaKGFpqOlXFpooYUWWmg6WsqlhRZaaKGFpqOlXFpooYUWWmg6WsqlhRZaaKGFpqOlXFpooYUWWmg6NtRbbCfaRlMnZHHoz071EtvNNvPU4VWr1fK909AwtVrNc7zj8TjP6aApe9uxNq+2lvtrobUWK2itxQpaa7GCHWm5vxposhvNdqZW1iQYlUol9Ho9LBYLbr31Vmg0GkxPTyMWi2FycpIHHr1SQF1iTSYTFAoFKpUKLBYL3va2t8HlcqG/vx92ux3Dw8NQKBTw+/3IZDIIh8OIRqN45plnEAwGEQwGUSgUkEqlmtJW/VpqjNlC87HeyYMtbA0b7Ri+Wmdw+js17aTnR52lCTSWgJ4rvY9Ge28Hdky5ACvWOXU0FWe8qFQq6HQ6GI1G2Gw2qNVqGAwGZLPZV5TAa9Q2XJIkGAwGOBwO9PT0wO12Y3h4GCaTCU6nk6ci5vN5no2u1Wqh0WjqusHSf79S1qqFFnYCJJcILcXaHOyYcqnVajxjolgsQqvVYmBgAEqlEoFAAAqFggVre3s7arUaZmZm+L2vBIEpTpZUKBSw2Wy4/fbb0dHRgdtuuw0WiwUulwtarZY9mmKxiEKhwFMSX3zxRYTDYeRyOVQqFeTz+bqRq9vdmr6FVzb2smAVx1BvZn83OhtKpRIWi4WNtnK5jFgstu3rsNEIA8270el0AICDBw8CAAwGQ93nHT16FACg1Wrr/k7vo3uPxWIAVh9psZFJoKu9dkeVizhjAlh+sAaDASMjI9BqtXA4HDAajTAYDDz1batjWfcalEol/2g0GthsNjidTtjtdlgsFt7okiTxVEEAyGaziMViiMViPNlTkiSo1WqejqdUKusmV7bQQgtXho5Ewd7MOTAt1GNHlQvFAem/A4EAhoeH8fDDD8NutyMQCCCfzyMcDmNpaQnBYBCBQADlcvkVEe5RKBSsEPR6PdxuN+x2O4xGI+LxOKrVKlwuF9RqNQ9KUiqVKBQKeOyxx+D3+zExMQEAGBgYgMvlQj6fRyqVQiQSQalU4hGyG5lDLr/Ga32dW3hlYjMeC+VylUolT+UUjVyFQoF8Pg8AV+SAd3Ms9GoTaClKcfr0aQAripJGy5MxSgqzs7MTAPC5z30OAPCNb3wDAPC73/2u7v3bceZ3NOcin4VtMpngcrng9XphsVhQLBaRyWQQCoVQLpd5M8jfe62DlIxOp1s1dwKsTMLL5XIIhUJYWFhAJBKBRqNBoVC4Ygw0vVelUm3a43slrXMLryxsdG/SWaAcLrEr6YcEMSW7ySCj38RUzefzrXOxCWxJuWw0vi++zmKx4B3veAeGhoZgMBh4hGilUsHMzAwCgQDMZjPy+Tyi0egr4uHWajUUCgUolUoOh1Ey3+fzwWg0ssdCYcFLly5hamoKly5dwtzcHJLJJAAgGo3yayn3QiNjCaIXst5n9UpY5xZeGdjIWOdG75UkCTabDUeOHIHFYrnibIXDYSgUCng8HqjVaj5Hc3NzKBQKUKvVSKfTOHnyJHK5XLNv74rrBVbukzwK+jtFfcjrIk+FXk85GXo95WKOHDkCAGhrawMATE9P133OatfRDHmxo56LHAqFAuVyGYlEApIkoVAooFQqIZlMIp1Oo1gs7ukE42Ygut0qlYrzSiLTi2pcKpUKUqkUotEoMpkMCoUCyuUyh76IcUfvUSgUbIVRrUyxWHzFECI2ixbJ4dqAPBQk0qKvFq4VqbgmkwlarRZmsxk+nw+Dg4N1yiWfz6NUKsFms0GlUsHlckGlUvEZ0+v1fL6SySQuXbqEcrnMedBsNtvaS+vAlpSLfIHXe4gVCgUymQyeeuopuFwunDp1Cna7HTfeeCMKhQLm5+extLSEmZkZZDKZdW2uawWi0E+n01hYWEClUsG+fftQrVY5J6NQKJDL5TA3N4elpSWkUikUi0W2aLRaLceFa7UaKxq32w2dTgez2YxCoYCpqSnk8/lXlWsvp2bLwx67GUsnqNXLR2876wwaQV4PIf/+1eopmvGda+0/IvcA4JCv2WwGACQSiTojU/w8Cn1R8bXNZsOdd94Jj8eDsbExeL1eHDhwAFqtlr38VCoFADCZTHyG6KwoFAr09/dDq9WiUqkgGAxiYmIC8/PzuOGGG1Aul/GrX/2Kma8bwXryOOJeFUHPSb6G9Lzo9d3d3QCAj33sYwBWWGPDw8MAliNGAOD3+xt+fzNlxLZ4LutRBOVyGZFIBPl8HiqVCg6HA263G9VqFclkEslkkhPUrzSQ1yIyx0g5iLVASqUSZrMZRqORhQFBPGB0yNRqNbPt7HY7crncFRz+3cRWPQj5fdB9y/+21vtfLQr2WgIpCJPJxJ64mDuU5yMlSeJnSZ4HeSputxuDg4Pw+XwYGBiA1WqFyWSCWq1m5UL5SKLnUsjLYrFAq9XW5WhqtRoGBwdhNpvR1taGXC7HhkELa6Npq9QoIb1WXK9arXK1eTAYhFarxfj4OJRKJfx+PyqVCiRJ4uS1+LnXqoAgBaBWq2E2m+FwONDf34/u7m50dHTAYDBAr9fzfWq1Wtx6660YHBzEf//3fyOZTHKnAjp0ZI0rlUpotVp4vV6YzWZYrVbk83mcPXu2KZz1ZmIjz5GUrNgWSE70EMOJ4t/ov8mqExXxbu+hnQ73knFC3gF9v81mA7BS9yC3hHfq2oxGI1772tfCZrOhr68P5XIZL730EgKBAO97Ck2NjIxAr9ejXC7D4/Hg3e9+N7q6utDX1wdJkqDVapmqT5R/euaVSoVD7rFYDJlMBseOHYNWq8U73/lOVnDk8dpsNnzqU59CIpHAzMwMpqen8Ytf/AKJRGLD99nIULbb7QDA3pT8NatFh+g3eXdjY2MAgL//+78HsOKhOBwOAIDRaAQAvu6dkKVbUi6N6HIbsZKpPqNSqaBQKCAQCPBnajQaaLValMtlzj9cyxC9EdGNt1qtsFgsHA6TexoGgwEWiwVWqxUGgwGpVIrda5G/T14P/ZsSfOv1XHbDu7naBpd3cyCLkaxb2hPyuoXVQDF3yk/ttoJ5tYPOgMfjgcPhQFdXF5xOJ4aHh1EqlRCLxWC1WhEKhZDJZJDNZqHVauF0OmEymaDX6+F0OjEwMAC32w23211XpEx7n4yKSqWCYrGIYDCITCaDYrGIRCKByclJ6HS6usJC2m8KhQIulwtGoxHFYpGvYa9EA/YyNq1cRAGWy+WuOLCNDq6c/SG3OlOpFAwGA2644QbodLq6Gg4x77JTjSybCdrsRqORefcqlQq9vb3wer1sbYmvV6lU0Gg0MJvNGBkZgVqtxtGjR5HNZlGpVJgdRg0uNRoNAoEAKpUKrrvuOpRKJbberiZMt3M9Gx1E0dNdi2tPoUGNRsPhEHpPOp1GpVLhsAYpDzlFu1Kp8OcAy1aiqJB2Yy/JWXyERoV+mwF9DsXwvV4vgBWP5MKFCwCAD3zgA3X/npycBLDx3ldrXYeYXxLvW6fTwev14r777kN3dzf279/PLY8A4C1veQvC4TC++tWvYmZmBpOTk5AkCX19ffD5fDh8+DBsNhva2to4tyAaoaIRUi6XEY1GsbS0hP/3//4fpqenkcvleL9IkoTTp0/D5/Ph7rvvhsfjQVdXFyRJgslk4nAzfd9qOYuNgp7H0NAQgBU2F+1p+T4hGdHV1QUA+OM//mMAKzmWnp4eAEAwGAQAnDp1CgAwMjICAPjgBz8IAPje974HYCX3sh0lH01N6F/t78DqliVRBKvVKtRqNS+ifHGvVYtBtIbIc6F8C4UJSYHSa2njkyI3GAxsTYmsM9EbyufzSKfTyOVyu9rdgK57NcUi//dqxoj4Q/cqQq6Y1lKi1+reeaWAniHlQCwWC3p7e9Hf34+uri64XC7odDrodDpWSkqlEr29vVAqlXWdKag+jHIjpVIJhUKBk/NAfXK8WCzC7/czrX9hYQHFYpENPrVajWw2i0QigampKQCAz+dj402hWO5YbjAYOFfTwtrYtHKp1WpXaFe5lSM/zCQA5dRY+nexWEQul0MgEIBKpcLCwgKznIiHfq15LMCyAqADQXUtOp0OSqUSuVwOiUQCxWKRY7yiSw4sW2OkXHQ6HYrFIkqlEudZRAud2sP8+te/RqVSQSKRqKvaXQ+Tb6trTEKE6pdEpgvFsmn/NLKM6f0ajYY7FJTLZRY2wLIVnMvl6kgf8jCbaMU22q/NvOfVQFa72+0GACwtLdX9f/L+SRC6XC4AKxbsamfrapCvAYV8KBYfCATqrosEJuVkzpw5s6HvWwsU1VCpVLBYLDhy5AicTicGBwfh8Xhw0003wWg0cp0XGZaU5P/ABz6ASCSCn/zkJ6xg4vE4nnrqKRiNRuzfvx8qlQqRSATRaBTPP/88isUifD4f51vy+TxefvllhMNhViy0PslkEgqFAqlUCvl8HkePHoXf78d1113HioWiA0ajsc6D3iqoXiUSiQAAbr/9dgDAuXPnAKzsA/lzGh0dBQB85CMfAQCufyPP87777gMAHDp0CMDKfjh8+DAA4Jvf/CaAFTYZndFmshe3xXMRF160PClWudaBIaFCwlV0q5sdDtuJpJZodYuWPAlOKugSD4FGo6nz3ChW3KilixhPpuQ1KRkKB+wW445yJaRIxWacVN8jsnfkSkJUrmR80DqK97benN9aebtWDmZ7QOEvSZLg8Xjg8XgwNDQEl8uFkZERmM1mmM1mNpLEvFipVOL9TJ59sVjkdi3xeBw6nY6NsWg0ing8jrNnzyKXyyGVSnFYOJfLYXJyEtlsFoVCoS58Knq/uVwOi4uLnN+UJAmSJHFOU274tbA6to2KLMa9ifVlsVigUqmg1WpRrVbZcqXipFwuB4PBgMHBQWi1WtjtdiSTSUxMTCCXyyGZTDaknxLksyiuFp5rFAtu1v2L30EbUqlUslDV6/XQ6/XIZrOcmFQoFIjFYtBoNGz10yG5fPkyxsfHmelCLSyKxWKdYCyVSlCr1VcUT+5kIaVYBGcymTA6Ogq32403velNUCqVePnllxGNRvHiiy8ik8lwLRNdM+0feo70W+xNJypU+fcSxH0oEgDkEIkpzVonuYK85ZZbAAB333133bWSpxIKhQAAv/rVrwAA//Zv/wZg65Yk3TPVZdDvN7/5zQBWPKu3vvWtAFZ6Tv3DP/wDAOChhx7a0vdLkoSxsTH09/fjox/9KDweD9xudx15hbw2MrSI4DMzM4NQKITHH38cwWCQ9wsZFHKjld5LcmV+fp4NO7GNy2rGVrlcRjqdxksvvYTZ2Vn09fWhv78ft9xyC+ddALCx1AzQtdBzueuuuwAAn/zkJwGseJrUI8xkMgEA+vr6AKywvx599FEAwLFjxwCseDAvvfQSAOC2224DsLLX3/jGNwJYYZvR5//Lv/wLgBWP6mpEqrWMsm1TLvSb3GGtVgufz8fsJ4VCgXQ6DWDZFa9UKlhYWIDJZEJHRwe0Wi1TdiORCMdc1/KWxG7DANasTqfr2i6rXu6xKJXKOkVDh4useIoTR6NRaLVaZr7Q/8/n8w2nT8qJFDTrhSiOuVyO2/PvNBGC1p6ICXa7HVqtFu3t7dDpdOjq6kI0GoXf72clKX8v3SP9rdHvq10DsHriHGg8IKvlxWwdNCCQ2I7t7e1wOp1sOIl5Q9FgiMfjyGQyuHz5Mubn5zE1NQW/349IJLLm0ED5MyNjZCMRimq1yrmX2dlZAMvJ8EqlAp1O19CoaaExtkW5iFPS6CGYTCbccccd6OrqwujoKCRJYiqyTqdDLpfDc889B41GgyNHjkCSJIRCIcRiMZjNZiwsLOCXv/xlnYAUrQcKu0iSBK/Xi1qthtnZWW4pIwoZEiZiiKWZVGdx41WrVQ4NSZKEtrY2WCwWGI1GaLVabu0yOzuLbDaL8fFxaLVa/NEf/RHMZjNMJhOSySRyuRzy+Tx7WXS9lL+oVCrQaDRwu93wer1461vfCqVSiZdeeglLS0s4c+YM9x9b77VvFqTsiNV2+fJlDkt4vV7cfvvtqNVqGBkZwcLCAn74wx8iFAqxR0bXIK9K3ui1raZYxOuUV4aLSngre4K+kyxBskglSap7Hd0jGVpf//rXATS/zkS+douLiwBWPJcDBw4AWInBk+VMZ+Wzn/3shr/T4XDgHe94B2KxGHQ6HWw2G+dV5M+EPJFsNovvfOc7mJmZwe9+9//Zu84gyc7qejrnPD2pZ2dmZ3a1K628iyIooYAkgooC4YSFoYwolw0GW9iUf2AK/MemTAGFoQBjA4Yy0QJEECURBJJQQBKKi7RpdnLomemcc/vH+Nz++m337ISe2QX1rdqanenu1+9973s3nnvur5FMJhGLxSRFthNRZasacCqVwn333Qe/34+FhQXs3bsX73rXu1AoFIRYt5PCc2EthGiw/fv3A2jsm8XFRQCN2t2dd94JoIEO09bauLd//OMfA2hEot/61reavpf74N3vfjcA4LLLLgPQqAW1k/Xux461mmrRQvTGQ6EQ+vr6YDKZ5AaRgj4UCgmKxGw2i0JVNyM3gnaDGI1GOJ1OOJ1ODA8Py/RGotBaLcRueB9qAyDhtEwT6nQ6JJNJIewsFApIJBKw2WzIZrNSOKTnz1oMDQwNowpT7O/vRygUwvj4uBQ5HQ4HTp8+LcXvnb5udYNXKhUUi0UUi0UxHh6PB3q9Hnv27JFCfatjdPI81TSKqtg4O4fFZg6LouPT9VC3J3QeiXRUU5DaZ7pSqaBQKGB2dhYTExOYm5tDLpfrqKHdCOpUm3XI5/PIZrPI5/MdP5/fZ+mocVHrLCrah/DBoaEh9Pb2wuVywWAwiKeYzWZRqVQwNjYGk8kEm82GWq2GaDSK2dlZTE5OYnp6Wm6qFjCgdvj29PTgyJEj0vC0sLCAubm5Jl4urUe6k6kxGhN237PPhR7Fc889J53H3NSsT3EyJVNI1WpVPAmG5mwyZdrptttuwwUXXIBrrrkGJpMJV155JRYXFzE5OYmJiYldmbIHNKDlKvLHbDbLGGs2yNJAskir0+l2FIBAZad2Yff396O3txfXXHMNSqUSvv71ryMSiQhKbStCdA8jAebCr776agDAqVOnmt5/7NgxAMBjjz22pe/bqtB4/tmf/RmARqTCXPxdd90FYGuRSywWw09+8hPccccdOHDgQFOxXus8VCoVLCwsYGZmBo8++ihmZmbaogk3K9o6bbuIBYCgwnp6evCHf/iH6OnpQTAYhMPhwNTUlKTmOi08D677K1/5SgDA+973PgDAd77zHQCNffWJT3yi6XNqNkb9O/cvIxvuO6bNqYe4Jqy9PP744wCAiy66qOk4m5GOGpd2xXYqmmQyKSkhvV4v7KSspVitVuEAUo+VyWSQyWTO6MSm96+iONROdTU/2s4T3mmkGM+LBoWoGKbiotGoABmMRqO8J5lMCt6fXrXb7RbaCzXFxbVi+o0GzGg0wufzCdPrueJEYsTm9/vFWBoMBjG2aoSw1RTYetJqX6pp1GAwiN7eXuzbtw/lchkXXngh5ufnsbKycta0QFfaS7VaRS6Xg9frhd/vlyiWkTfvC6epLi4uigPUaebhjR6LzbY+n0/2xZ49e2AwGJBOp4Wmv4sWO7t0XNvQM1GbAiuVChYXF/HlL38ZLpdLDAhRQgAQCATw5je/GYODg/B4PEILQYLLSCQilCc0LH6/H3q9HrlcDjqdDrOzs4jH41hdXUWxWMRLL72ETCYj0EP1HHdDdDodHA4HXC4XxsfHJR0GrOVMc7kcjh49Kh4aFZ7L5UKlUsHw8DDe8Y53wGAwCFPrysoKwuGw1JJUwECpVML09LRELGazGWazuclT3+2HgrNrhoaGcMsttyAQCMBms6FeryMQCKBYLIp3v1W01kbSV6rHXCgUYDab8apXvUo6rvv6+nDTTTfBbDbj8OHDWFlZwQ9/+EN8+9vf3tJ101P8+7//ewDAFVdcAaAxQfDtb387AEjRmJMCd5slmc8fHQ9tnYpopenpabzxjW/c9PFdLhcuv/xy9Pb2YmpqSlBgjGrdbjcOHTqEVCqFj33sYzh27JikszsprfY9nwd1z1mtVlx11VXo7+/Hnj17EAqFcOTIEVQqFdxzzz2Ympo6g01jM+fQKlICGjUW7oPDhw83ve8v//IvATQmSWr3Sas6NNDon2KEwkhEHc2hPUeg0en/nve8BwDw+c9/HsDmaoE76soSyUSPZWZmRqisCT0FINBZerhUmEwnuVwuaR6kEmaqjek1FuGKxSIymQwKhYLMZzgXeXOmqjwejyBmzGazeG6pVArJZBK5XE4K9erGIK9SrVaTlFcmk4HH40Eul5NZMCqiinTiZJQm5LterzfVeXZzDRih2O12aUBjekRF0G23vrHRz6sGTGVIYPe12WwWOhG73d71ULcppF3R6/WIRCICq2dvl9PphNfrRSKRwMTEBMLh8I6nbbWpI3UvWq1W2Gw2eVZVBy6XyyGfzwsKtSvry44YF22UQOz53NzcGa+zF0Kv1+PIkSPo7e09Axp63XXXYWhoCL/4xS+Qy+XECLFHgI1R09PTTbBV0kHspqgIJL/fj2uvvRZerxd9fX0olUp45plnsLq6iuPHj0uhUIuQKpfLQqxnsVjgcrmwb98++Hw+LC4uwmaz4dSpU1IkV9M+MzMzMBqNWFpagtfrFaMbCAQwNDSESCSyK7QwjC5tNht6e3vh8/mkBqcWVdWmWUYXm/mOzQjXidHL888/D7fbjZGREYl+SYzILnA6QJsVri/Tag888AAA4JlnngHQmIVOVBafjd0WriFrKx//+McBrFGfqK+//e1vx9TU1KaPv7i4iLvuugsWiwVutxv1eh2RSAT1el1g89/97ndRKpWwvLy8o4AT7jf2q6gZA7PZjKGhIbjdbhSLRUQiEfzmN7/B1NSUMEcnEgmk02mEw+EtRZjst1FFG1GQ60vbWc+I4Utf+lLLY2vTybxvoVAIQKNviTUbbcOy9nfq4D//8z8HANx9990AGhH5RhyAXUnC01Ns96Cy90VlBqawL6JYLMLn8wlaig2JACQSKhQKTZvzXHkXVKz0fp1OJ9xutyBNiDzRni/Q7FUxGqlWq+JV+Xw+YWbVNv8xIkqn0+J1UXEzPdep5q+zCVN8Ho+nidpDTUWo/99tJ4D9DAaDQWp/QPNYhN/XeUK7KaVSCXNzc9Lzwv62er0ukXQsFmuamrobwmeU38dzUbnJGNmSayyRSIgj290XZ5dzPvXGbrfjhhtuwPj4uBS6qYQMBgPsdjtuvPFGXHzxxSiXy1heXsYLL7yAbDaLmZkZQZu1QqDstqieuKpQjUYj/H4/DAYDIpEIVlZWmkY4qyg7i8UiNZJisYjZ2Vl4vV457hVXXIFQKIQnn3xSZuJQCTJ6IxLLaDQiEAjA4XAgFAqJUaLHtpNrZbPZcMMNNzTNrFEdB95fjpdlg+hGpR3652yiGm3WBtmDpAWSdFKJkBMqFosBaHTqsxO/t7cXQPsJgTslXLNHHnkEQIPrTCvPPvusdG1vRpgar1ariMViTWhAGnQ6WZ3qY2klavqY2Y9AICBgm0qlgpWVFUnZOhwOBINBpFIpfPSjH0WpVJJUGTnqNiutevRoyBjR/uM//mPL17/3ve8BaHTet7s+/mRE9MUvfhEAMDo6CqARcbDPifNeiNZkP80TTzwBoFF7+cAHPgAA+MY3vgGgwaK93kTOc25cVFFDOtW7pffvdDqRyWQkZKOCPp86Znnu7J8g00ChUBCcvBqxsC7hcDiEXt9ut0ttIpvNCkMyj8+0IL0tdb24+WlwaNx6e3ul+79VeN5pYb+S3+9HX18fent7z+hXIvOAChPfqKjrsdl7TyNC5RYIBBAMBpuiOjoKXemMMD2uOgW85+uNXNiJ86BToRXWfTlsz+12o1QqIRaLCaKTfHhdObucc+OSy+Xw0EMPIRaLSX5PpaGnsMBPRV0sFpuU7rkW1aiwT8Xv92NgYABWqxUvvvgiIpEI5ubmZCY40WQejwc333wz7HZ706x7u92OxcVFLC4u4qWXXkK9vjZylWgnGiR6h/S6isUi4vG49MkYDAbccMMNGBsbw09/+lOk0+kdPCgELAAAIABJREFUMci8b/V6Xeh+xsbGcP3118PtdgtCBVjzWo8dO4Zjx45JmmQrstXPkTHa7/fjrW99K4aHh8Wg81o8Hk/TOW9HaMgYGdBzvOOOOwA0Ipjdjlwo8/PzABroMK1sp+dE6who6wKblc1Eqq2EUVI0Gm16bkqlEjweD2655RYMDAygt7cXyWQS+Xxe5skQfLNV0dY46CiPj48DaHCHMZJg39PXvvY1ADgj26GNhBh58O9M6bGGw/6Vz372swCAEydOAABuu+22pvP627/9WwANlBjrVD/96U8BNCZefvnLX5Zz1co5NS5qcTWbzUruW52XoKYxWMBWUxrnk3FhFKLOa6FSiUaj0oDF7m/2pXg8HuzZswcul0vqMslkUvL+ZDmu1+syIMtsNsNms4lx0dLq53I5yWGziOnxeKQGQhRdJ9ePOWqLxQKPx4Oenh4Zu8yeHUqtVsPc3BxmZma2XDTfrpAyh2g+7bA2u92+JchpV1qLdq+dy2eXNUo1OjWZTLBarRgcHMTIyIj05FmtVkG5nssZSb9rck6NCxUR6wKnTp1CoVDAhRde2IS7z2azWF1dxalTpzA1NSW9K1ouqnMlKkUL6cOJ0jp+/Diq1Soef/xxJBIJaQalIQqFQti/fz9e97rXwefzyfX+4he/QD6fFwADDQhhnV6vFyaTCblcDplMBslkUo5brVYRDocFAEEwgMvlwuHDh+F0OvHYY48J91en1oDAgcsvvxxjY2O45ZZb0NPT0zSXHIA4FN/+9rfx7LPPbngeudbT3S50mUASNqeq6UW9Xi8z2Tshr33tawEAb3nLWwA0uJtYx9gKyWInRa1JAGeSed54442Sh/9dk1ZevoqK8nq9QqN/wQUX4Morr0QwGITJZJIaWSfYAtR6HiNiri9RXKxxPPfccwCAT37ykwAabNVaNJf2eMPDwwCAW2+9FUCjj+ree+8FADz00ENNv/PzjIyIGmSkwv4aCh3/f/qnfwIA3HPPPYIg08quGhfm/wOBgHgJFosFw8PDCAaDTQgooJEbJ+085zWwntAud7qboqbDaDBY0yiXy0ilUqhUKgJjVIEHOt3ahEl21fOGGo1GBINBZDIZ2O121Ot1MTJURlSA9LjVuRc6nU6iQXpnTIMxbdfpegKNq8PhwNjYGPbu3StEhSprAlF98Xgcs7OzWF1d3bSB225PDLC2F9l/wzEIdAoo3X6G3y/RgkDodI2MjAiNfigUElJZNaPSRYhtXnbNuJBWYWBgAO9+97sRCoUES7+6ugqbzYZLL71UUj0AZAbDxMQEJiYmcPr0aUQiEVGU5zpqUdNgRHipUigU8OKLLwohpbahU6fTwel0ioLjzHubzYZrr70W5XIZ8XgciUQCJ0+eRDwex6lTp1Aul0WZM1cbi8WQy+UwPz8Ps9mM1dVVWCwWLC0twWazIZ/Py6Q+Isw6tXYGgwF+vx8ulwsHDx7EX/3VX6G/v18iJ6BR0M3lcvjBD36AEydOYHJyEqlUqu1DS4Ok1pRU2c75m81mHDx4EH19fXjppZeQSCRw8OBBAWCUSiVh5d2KUJGRs4ueISMUomw+9rGPAWhwPp2r/czv/dd//VcAwAc/+EEAjVrRww8/fF4QNm6mTqOiMNV6Dw2L1+vF6Ogo7rrrLgSDQaFJstvtyGQy+N73vofp6Wm88MILwsm33fvDz2trJ1xb9kOxn+XBBx9sep2RQyAQANCY58K0OCdZ3nTTTQCAT3/60wCA559/HgDw85//HMCZfIqM0MgAwH1L5gBtROvxeABAgEKtZFeNC+F9Y2NjGBgYkCZIq9UqA7KIgNIWAdnRr879ONdepdoTwR4SRg9ElbD2QWXeqgeHf2ckxpRNuVxGLpeTlBbrNWz4Y2OaihgDIP0u8XhcIqdMJiP0/vl8vqP1FpPJhMHBQYyNjWFkZAS9vb1wu91Nw9gIAU0kEjhx4oTQ8LczLKox2clcPSNjDqMjCi+RSGwpqurKmaKdJLubzy3RlWQK4flYrVaMjo5ifHwcIyMj8Hq9wsBeKpWQzWaxuLgoNE3dKHbzsivGRadbY6K95JJLMDY2hvHxcfh8PunM7+npke5o1ctg6mxoaAipVGpXILQbFSp3j8cDl8uFK664AvV6HY888kjTZlT7N7ReF+d3k2ONvxsMBng8HuEGs9vtuPjii7G8vIzFxUUZxVqr1QR1xIFgHAX8xBNPIBQKYXh4GA6HAxMTE4hEIuKld9IL9fl8uPPOO3H77bfD7XbLMCj2NyQSCcTjcdxzzz2YnZ3FfffdJwOhWgnTaKx3qLU19d92pFwuS88AvbBvfvObyOVy0Ov1SCQSOHXq1KaNC/my2JmvvedE72hRO+dacdGQv/nNbwYA/MM//AOARu59q6ALo9Eoz3c6nRYqqN1AB7LeyObNQqEAnU4nrAx//dd/jdHRURw8eFCIKXO5HF588UUZUjY3N4d0Oi3tA9sR1QFkfwnT3Ndccw2AxrwWctBpkVg8B87/4f7k80wWhUgkAqDR33LfffcBWGsEBc7s5OdxlpeXAQAvvfQSgAZ6jShCfo69Pu9///vx4Q9/uOX17rhxUXs+WDy1Wq3CgKx2bav/V0VtsjvXD6EqREep3FiMQGhcVFZm4Mx6gTqcSv08vf1MJiP9MQQxFItFYUXmplLrUDrd2pwYs9mMxcVFWCwWzM/PI5FICCKvk+tosVgwPj6OQCAgqDD1OuLxOJaXlzExMYHZ2VlEIpG2TZNa1J0qnTIsPFalUhEvFQDS6TTS6TQSiYQMaDuf9tvvoqj8bcDW4cebFbUfjPODyMgwMjKC4eFh7N27F319fTImmfstlUohlUrJM6ftJevKxmTHjYvBYEAgEEBPTw/6+/vR19cndRW1CRBo3nhscksmk7j//vtx/PhxpNPpnT7dDQvPlUr+6aefFqw8EV8ABIWiTfWpERqNhDpKNRqNIpVK4YEHHkAsFsPS0hJSqRSOHTuGfD4vvSFaVA8ZDlg45xyIaDQqBovn0Kn0osvlwmWXXSa1Ml4TU3F33303ZmZm8MADDyCRSJw1HaayOKsM252GTXu9XhgMBjz44IPwer3Yu3evrDnXe7PfefjwYTz66KNnKFF6oPRMibZhyohOwrlSXowS2W9z8803AwDe+c53bvmYJC2l17+b6E6j0Yj+/n54vV4cPnwYJpMJhUIBTqcTt9xyCwYHB3HgwAHpnatUKpIeZbsDQTMejwdWqxWpVOoMZ3GzwueVnF8XXHABAOCXv/wlgAa6i31H2u/R7hM+R2NjYwAaEUY8HgfQ6PxnpKMV7fEZob7tbW8D0OiDYZQ/ODgIoFGb+cIXviDZE63sSlpMZQjmoCiVAr6VN0PPMp/PC2WKtnmpk9DUrYgamaRSKQBomlUBNIqJHIylNTIUPnT09qPRKFZXV7G8vCxjBLLZrBgh9bvVz/MfoxOSBNIYaRFRnZBarYZ8Pt/Ua1OpVOT8Z2ZmpHmUVD3rCb3dVvWpTojayFYoFLC8vCxzR7LZLOLxuDSadmXr0m5v7oaoGROiv+r1Oux2O0KhkCBWuVdLpZKMVQ+Hw8LgrB0M1o1eNi47blxqtRrS6TQCgQAuu+wy7N27t6lw3y5MrlarWFpawvT0NCYnJ8+g4la9f+aLd5KbqNV1qYzE2k1IuC9zloQSq7lb9VzJDZZMJhGPx/H9738fsVgM8/Pzgg6rVqvwer0ywbNcLss5aBWxlrvMYDDId3Q6Epifn8e//du/4QMf+ICwHycSCXzqU5/C5OQkjh49ilwuJ1DsdqJNj6rn2alz5VrU63XMzc1Bp9PhxIkT0Ov1+PGPf4x6vY54PL7lZrnnnnsOgUBAPEVe78DAAACIE8Jjc/LfgQMHADQ82N02bMz9swb0mc98ZtvHrNVqyGazcDqdTanSnRZ+F4E0jE6y2SysViv6+vrg9XqFfmh5eRnhcBif/exnMT09jXA4jHK5LBG2CsbZblqPESLRWJ/73OcAAG9605sANGoj7WqijFCItCVajNx03E9EnfF1co21i2AoWlQYGST4+69+9SsAwMUXXwxg7dlvt1d3JXJR0z78x6JtqweYhemVlRXMzs6eMfCLni0BAVREDFt3S1SFzvSNtm6k/lxvY5pMJhgMBuTzecTjcUQiEYTDYQEysABIIUW9uglbGRm1sA405r50Univ1IFukUgEk5OTOHnyJJLJpKTkNqKwuZ5qPaoTol1/OgTnA5P276uoxuRsa0uj3wkDRONCvcExGASbUF8UCgVMTU1henoax44dw9LSkkzGVSNcAG31VVday44bF97kRCKBhx56CDMzM7DZbJIio0cPrCnYarWKSCSC5eVlfOUrX8HU1BSWl5dlkxCl5XK5cPXVV8NqtaJQKCCVSuGJJ57o+HjUs4mKU+f58Z/BYBDodCvlSg+LiBqLxYJnn30WMzMzmJ2dFfw4p/UZDAZMT09LeolRSCtFzJRAX18fAEjktxklv1Gx2WxwuVy45557UK1WcfLkSUQiEZw4caIlgED73VpDTKVPkMJ2z1V7fG2PQSe96Xp9jX3g0ksvBQCcPHkSQCOXrUUO0uPk6/y9XR57p2Qn1oKijuNudy+JsgOwbSeRKeNoNNoUPd10000ysmJ1dRVf/epXsbS0hBMnTsiclvX23HYcEEKf2TfCmgg78p966ikAZ5/0eOGFFwJodNKzhvf0008DAH72s581/Z1ov3Z8aFqHi78z4iEzACNb7g8yCKy3X3ZtnkuxWEQ4HIZOp8PMzAx8Pp+ke7igFosFlUoF8/PzmJ+fFyWrRi1U2haLBf39/XA4HNLX8fzzz8ukx92SVvBYekr8v/o+7Wc514Xd9NFoVFBdHAVLmDbnvdvtdiwvL8uUPLXJkIbNYrHIv1qt1tQlvxNrkM/nsbi4iGKxiKNHjyKbzQrEerMPoxpl7VTUwvPuys7LRliPyZgAQCiSznZ/1gOkqGjATCYDm82GdDoNvV6PxcVFxGIxTExMYGZmBgsLCygWi2eFSHf3y+ZkVyIX9m/cf//9MJlMuOeee2A0GiWtxc2n8u1wLDI71xkV6PV6WK1W9Pb24vrrr8fQ0BC8Xi+i0SiOHj2KyclJYR3eaSEiC2h+gNQUGBW/lqqGHu7k5CQSiQS+8pWvwGw24/Tp09L8SONL4+xyuXD77bcjk8lgaWlJDKl6rUThDQ4OyhjoarUq9OHaHHInJJlM4ic/+QlsNhvq9TqSyWRLD7BdMVTrEXaSgl3bjLkbReV6vS4d0WcT9iNMTEwAaNRkdlt2ak0I9ljvO+gs0qtnX0m7utd6ICCtZLNZPPLIIzAajbj33nvFUeP8FjZm7zSKjRRQ7CMhHxdRWNqabTthzcblcgFo1EB+8IMfAGhERHTYeVyiV9tBwlmTYYRCB71dJKXlwmslu9ahTwMDNEa/ar1pKgJOiFOL37wI0tn39vZicHAQPT090gRns9kE2rkbstH6Af9pO5R5jel0GnNzczCZTFhcXEQmk5ENz5SXWthWj6UKHzqj0Qi73S7MBzTWnShIthKCNqgM2s1n2ejDu5PRSld2X86WauOedblcEmVv996pBoiKVWUCVxGVu4lieznJrhJXthsWpAqRV9wcLHRTOPtkfHwcF1xwAVwul3j3TqdT+kp2S7Sbkg8Gf6rjc1vRmVAx//KXv5T3a8EBZrMZtVoNyWQS3//+95HNZjE3N4dsNiuNqFxbNqiypjU4OIharYbjx48Lr9hOrQO9mfPtQd1I9LTbwnOYmZkBcO7YkM+18LmwWCwYGBhAvV7HCy+8sKH0lJbklkKnlf1SRqNRnDS15riba12pVBCJRMQRJpccI4SNpvKffPJJAI1JkOxjowHVRhREh/F7GR0Sncg+GEY4/NxGewrXW8Ndp9xXvef1UiSqgiY6rFarCR3M3r17pRmTRshms8FisZwXHqs2dG9XDGQUkk6nmxSftj7C6EPlCwMgnew0qkajUWDH2mhnpxFRnUxn7ZScz+f2chY1ut6I8m/3WqveOYJdVMLbruy8nJN5Lmfz0tT6il6vl6bLWq2G/v5+3H777RgcHJQZ9cBauqy/vx8jIyOC+tiN69BeAyMOUkow9OYGb3e9bLLkcQHIfG+LxSKcY2xWZD2F/3w+HwAIQmZxcRGRSESaKFdXV4Xz7Gy9JltRwKwrnWtp5VisxwYAnB8G51ydA1l2uX92G6XGvZ9MJgXptNEGVi3bBPWG+uypqbBOzi7a7P3y+/247bbb8KMf/QjAmejBjR6PKK73vve9ABpoMBVhqR6PP4kaJSsys0E8n//+7/8G0ECtdeLZOOdjjoEzFQKZhlkzIGS5VCrB7/cLP5laNK9UKqhUKucFLTjQMDLA+hBMVbTpG0ZvVqsVXq9X+NlKpZIg65gW49RLUoOrEy9Z21FTdDuhzM4HJb0ZOV9SZC93oeJnKmajCMN2NUR+Vjuao3uvd1fOiXHR1h5UlJjJZBICxFAoBL/fj0OHDsFoNCISiUg/CBsDqTgjkQiee+45nDhxYsPIi528NqIuWoXpZxOmt8iIPDIygne9611y7bVaDZFIRFJj2WwWDzzwgFCtsHlM7a9h7wDTZu3mXm9VzoeoBdicgeN9eTnTvHAfkEniXIhW8W/0HraLUtWo4HxxomKxGL72ta+dofM2+9xomR/IcqzVqYxM2HzN+S4EPBF1xk771dVVAI390Il1O+djjplCAiAKkYOwqAiBtcXq6+uT8aNq2MaUExFSZ6M42A1RaRS2gtJSqW1Iwc+Z3vV6XVBg9foaSWZfX5+ky8j+yvPgv3q93u0y7srvnbRKTbf6e1d2V86JcaGSczqdMJvNcDqdqNfrWFlZkY5apnBWVlZw8uRJjIyM4P3vfz8GBwcFcqymjhwOB97whjfg4MGD+Na3viUWfbdFC53m/+mdaY2M9gFQDa7JZJIRvKzdkLOMRHzkG7vpppuwsLCA3/72t1Lgr1arQr1is9lQrVZl7ks7eTk9kC/niEUrRC+dyzrUZr349Wq256Ooz/9W0/ftmBS0vzOrQXTovffeCwD4xCc+AaARObHjnygyznHphJwz4wI0b2RtWExFSGiyzWZDJpNBLpdDLBaTyKZWqyGRSCCZTEqxWi3wnUtphRZj5KAaIe168PzJh2QymaSmpH0f0OALY5+JGqmwR4ZoOzVVcD6sUVe60pXfTzknxoWKNZvNytQ//p3Kl143lWaxWMTnP/95WCwWxGIxGI1GjI6OQqfTYW5uDqlUCnNzcygUCsjn802cZbspVPjqgCT12pjbJkNwO0Oo0+lgs9lw8cUXo6+vD+l0GmazuWmCHaktEokEfvSjH2FhYQETExPIZDLSgMrvsNvtguhS+41UlA2wcfBBV34/pXvvd1fUUeAbka3O/WEd+n/+538AAG9961sBAI899hgA4JFHHtnScddzUM9ZzUVFcahEgiqEjsVoGpeFhQXo9XrMz8831TImJyeFTbhTHb7bkfUK+O34vVq9n02RFotFIhCgEdkxXVYsFmV6IulyVMp91l9aRUlbqQd1pStd6crZRLdJdM0qgJmdO51zKiP1ej240Td316Ih3bVoSHctGtJdi4a8HNdiU8alK13pSle60pWNyM5wsHelK13pSlde1tI1Ll3pSle60pWOS9e4dKUrXelKVzouXePSla50pStd6bh0jUtXutKVrnSl49I1Ll3pSle60pWOS9e4dKUrXelKVzouXePSla50pStd6bh0jUtXutKVrnSl47IpbjGdTteynV8dy0v+KpI0qvNDOJ+FozlLpRIqlQqy2azQydfrdeRyuTNYftXv2ilWgXq9vmGSrXZrsVEhsaV2mBjXjnNbSHC528O4dmIttJxr5Ifb6OTBcyW7uS/Od9nJtdBy3PEZIbmjOqdFp9PJ0MBKpSIM4sAaIa66p7jPSqVSE5cedYn22Wq3F7XjCDq5FjabDQCQz+dbvk5+QArHU5M/UDs2ebel1VpsmrhSvTEqQSQnSBoMBlSrVdjtdlx55ZWwWCwoFosy7MvtdstkyaWlJSQSCTz33HMol8sIBAIolUp44YUXEI/Hsbq6ilKpdMam+P+LaSK55OvaUcF8Xf2d5JE7MVRIS4ffiiiShpdzV4xGI/x+v4xytlgsuPDCC1GtVvGrX/0K6XQauVzuvJn2uFmhUaFzwXECTqcTtVoNsVisian5bA83RTsnvJ2oxJ1A+zG652KWyVa/s93+onTqGra7JnzWeM8BNBHVqt+jGhG9Xg+bzQaTyQSXywWDwdDECGwymTAwMAC9Xo9kMgmbzYZXvOIVqNfreOaZZ5BKpVAqlaDX62G1WlGpVBAOh2X0N4fw1et15PP5plEU2v2hjsDg+W13FhCvnXvz4MGDAIDnnnvujHUDALfb3fT5/fv3A1gzpAAwPT0NoDEB93zQFVsyLlSKpHEvFoswmUzw+XwyIdFiscigq6WlJRlbXKvV8Oyzz0Kn04lyCQaDctNJD18qlWQePI1HuwVrp2Ta/d7JIVHqeFHV4BqNRtTrdRSLxZYPpjqPxmKx4Morr4TdbkexWES1WkUul0Mul5N1bOfRnI/SwsNDvV6X/cBRzXyotfdVO7JVnYWj0+lkcinHCmi/mw8sDZbdbofRaJS9mUwmm76X+0476G07CnWjD/dWv0NdE1VarUer96tePdCgfO+046U6fIwsMplMy2iB3jefJZ1OJwbFaDTC4XDAaDSK176wsIB6vQ6DwYBisYiTJ08CgGQ+yuVy0+gOHpfPpMFgEEOhdVa1sp7+2cpa8KfH4wEAOfd268214f2cmppqep364XwwKpSOUO7T++bcd2AtbLPb7XJD9Xo9TCYTLBaLTFu02Wyo1WpwuVxCr280GuF0OlEqlWRIljYiOZ9p4nmt2ghGK9ys2o3NEc4mkwlWqxVWq1UM7++6qEqDe4DGgN4oAJm6qR0RwPcy1apNJ2rTjEajUdIldIgqlQqMRmPTmv4+rO35KmpWoZW0UrjqvVdHc/D+cwor38s9Qa/dYDDAYrHAYrFI2r1SqcjYCjoW2gjlbIa0XZTYldayJePCG8Uby/CVxsXr9cLj8eBVr3qVfEan06G/vx89PT0YHh6GyWRCrVZDqVTC3NwcKpUK7HY7crkcdDodIpEIYrEYgDUPlcaHx1KPSzkXs7PbeQqMjtTwVq0vpNNpeVDS6TQeffRR2Gw29Pf3w+VyYXx8XNZneXkZsVjsnAw/24qsl3LS6/WwWCwwmUxSezObzdDr9ejr60O1WsXU1FSTF8uBZxzxzDVlJEIHhP9MJhPMZjN6e3ths9ng8/mg0+lQKpVQKBSQzWab8u00Zuud/2ak1Z7oVPqLwjVYL9Wkvr6eclff12nPlwaiWq0ik8k0fQejJjUlxXNSnRBGnkyr0kGlcAAfj+/z+eByubB//37o9XqEw2Hk83nMz8+jWCwim82iVCohGo3KTKSzXcNOCYd4cU16e3sBABdddBGAxthhPvs8lyuuuAIAcPToUQCNmg2P1+6atJGr6tCpr3dCl245cuGGoTfByY98UPnPZDJJPSEQCMDv98Pj8ciM91KpBIfDgWKxKJvHZDKJB6/daJ1UAjshavisPT81b6sNwzOZDEqlEqxWK3Q6XZOy0BbzfleF0YPFYoHVapW53eFwGMCaUiiXy7BYLE2RnRb0oCpARj96vR4ej0ecG4vFAo/H05Rb557lefBeMD3ZLoXZla2LGplogTnrfUYb4VLHqEaFr9FR5WftdjucTidCoZA4LplMBvl8Hul0WpzjruysbNq4aNEW9EQNBgNWV1dhMBhQKBSQTCbx1FNPwe/349WvfjUCgQBCoVCT4TAajSgUClhaWkIqlcLJkyeRz+eRz+fF8HD+u4pEo5JQw1pVWe+W8HxUA9DKC+P56fV6uFyuplwyvbBqtYpCoYBwOIxkMgmz2QydTof5+Xmk02lRsr+ryo8FfJvNhpGREQwNDeF1r3sdDAYDHn/8ceTzeZhMJpRKJaRSKaTTaSQSCZmqCTTusbY+YDAY4PP58Ja3vAUDAwO49tprAayNcI1EInjyyScRi8WwurqKWq0Gq9UKh8MBh8MBk8kEm80mOftCobAja+z1egEA8Xh8Q+9vF1Gc7e88dxaAQ6EQgIZXz7XU/t7X1wegMXZ3bm5uM5fX9hroELaKTNQ6kOqUqaAPOptWqxU+n0/SX+p7VUfMbDYjEAigv78fr33ta2G1WrG4uIhIJIIHH3xQMiLlcvmMtPROP1/qsXn/GKlw1PtNN90EALjvvvsAANdddx0AoL+/HwDw29/+FkCjVnPVVVcBAO69914AZ9bQtLW2AwcOAABuvPHGptd//etfA2hEMjyPj3/84wAakfFm1mfLkYtqYBhxENWlRjAGgwEejwculws2m02MBE9U9VBzuRyy2SxyuRwKhULTaN9W+XXK+ahwW9UEgMYDx3VQZ2gTAAAA6XQaOp0O+XxeFMDvqmj3Sk9PDzweD3w+n/yeTqdRKBQAQDxUdf1UofKxWq2ylsFgEKOjo2K46vU6xsbGYLPZsLi4CKPRiOXlZZTLZYkOmWohMIXfeT7up99V0T6n6z3HfL+2bkn9QIVJPUOnlvvBbrfDYrHA4XDA5XLB4XDAbrcjGAzCZDLB6/WiWCzCYrFI5KqCLzZqYLr7Y2OyaePCG6kqDLfbDaPRiFKpJDlvn8+HI0eOoL+/XzxEeiJM+6ysrCCbzSKVSolhSSQSOHbsGJLJJBKJhPTCAA2vqlV00CpaoOzUZlCjJkYWPEf+ToCD+mBQoRH5oiJaeO4sTiaTSTG06rX9Lm1w7pdCoQCn04mLL74YwWAQmUwGBoMB+/fvRyqVwuOPP45IJCLXrCKaWHchasjhcODAgQNwOp3o6elBX18fbr/9dng8Hsk/33LLLSiVSrjuuuswOzuLD3/4w1haWmp6Bc/OAAAgAElEQVSqe5nNZsnZc38C24uEtV45sHYf272X36f+zp/cP/zd5XIBaOwPGmTt+5iTJ4qIn+P7uR+JvGIkHQgEAACrq6tNf99KGkmtMba6Zr5Hvc+8x2qNkg4nvXumNffs2SMpMO4Lu92O0dFRDA4Owm63w263w+12o1gsYmlpCVNTU4jFYlhZWUEul0M+n29KQ/OcgM7Xn1RDxjVYWloCALzzne8E0NBxn/70p5vO4YUXXgAA3HnnnQCARx99FEAj8rnwwgubjse14v5j5PPe974XAHD55ZcDWHNiAeDWW28F0IiYGLkyQtLuN3V/t1unLUGR1dqBtoagpqwASLpHzXvz76VSCeVyWTZVPp9HNptFMplEKpUS6CoVy3opsFYe7vmmiNV8MZFzvOlMCTENWCqVpNj8u1LIbyfqfaBjwBoH06QGgwH5fF76E1SlpK1h8TN2ux0OhwPBYBD9/f1wu91itIEGaqi3txflchlerxexWEzQQtyr+XxeUGRq/l79zq50XrToMLXGoj7PKrJPfY33j06B2WwWR6RUKiGXyzWliYrFomQIgOYaKH/fjfTYy0U226HfFLnwZsbjcfEEgYb1PXr0KFwuF6amphAMBuHz+SS/raI0AoEAqtUqJiYmMDMzg+XlZRSLRVGw7ZQMN4Jq6NTcbTsPqdOi1lxoVHkOWnw6jYrX60V/fz/e8IY3wG63Y2FhQZRrKpXCo48+inQ6LTBKbbTWTtr1iJwrUe8BHYhnnnkGwWAQhw8flpRUPB7HyZMnEY1GJe1B2Kia7+X9JlJMp9NJOszhcDQhiXgMp9MJv9+PsbExVKtVTE9PC8KsWq2Kl+ZyuWC32yUnv9WiL2to7dZhvb+3Q235fD4AQCqVkmsDGhELayyMwl7/+tcDaHim9HwffPDBpr/zc/SAGcns3bsXQMMDXl5e3rQnz+ei3R5UlbxqWJjloJKnt8x0lsfjgclkQiQSgcVigdvtllpvoVBANBqFw+FAqVSSqCaTyeCRRx5BPB7H6dOnpdemVVpO1R+dfH7U9dN21n/ve98D0LgfvM8LCwsAgM985jMAGjWV2267DUAjolhZWQEA9PT0AGjcxxMnTgBo1Fpe97rXAQAGBgaazi0SiTQdn/vhIx/5SNP7eB5/8zd/AwC45pprZI9oZVs1Fy0SB2hATc1mM/L5vNz0fD6PQqEgYZRqKHK5HJLJJOLxOFKp1BkeBqVdtKKNpiiq17IeiqtT0mozavPKPFer1QqXyyWsBXq9XmhwqNiYEjybYVHRNaxXqBGCFpm2W6JNn7L3gI4DzyeRSCAejyObzUoTqVqP03qabrcbbrdbIMeEwmtTSto1sNvt8Pl8WFxclNog61y8Jyoyr+vBbl9aKW+taGts6u9qBKt9zpkhYdHfYrGgWq0KIiwcDkuKNJvNIhqNIhqNIp1ON+0z9dy0kUt3D2xdNmVcqPhoVPiThVUaliNHjsBsNqNSqaBUKsHv98PpdOLUqVNwuVwYGRmRvphMJoP7778fi4uLmJycRDabPaPvQP1+VZHKRfx/cU6NDhgmAxB0CRV1p7msqMDU89KmDWnYSG0RCoXQ39+PUCgEt9uNoaEhZDIZRCIROUdtg2Ur4bqbzWaYTCaB31J55vN56fBv5XnupKFVvU+z2YyDBw/C4/HA4/HA7XYL3c/DDz+MhYUFJJNJSZWq1801s1gs8Pl8eOUrXykG2WaziYPDdeN1Mjpmn9DAwACMRiMSiQQSiQTC4XBTZMk6j9pTtRVRo5Z2xyEqR031AQ1PVtu/Eo1G5ZoASI/Q4OAggAbai8chvPuhhx4CAJw6dQpAAyWmRRXxey6++GIAjQiH5+FwOIRqZDPSbn+pwBa32w2dTidG3mazye/qM+9wOGAwGKRPiX11fr8fLpcLvb29UltJp9OYmZmByWQSx3ZiYgKZTAbxePyMVDMdMkYu6rOsRV5t1eC0qsUx0qQRZETC+/Unf/InTa8zoiDwh1ED0YispTDaYyc/a2/8Xt5LrX7i/ef+4vdyX73vfe8D0GBbWFpaaupnVGVLkQtvOL0Fi8UCYG2D2mw26Sxn3wb/pjZ08SYWi0VEo1GsrKxIfWG9Dan9SU9H5Y/Sejh8TfvA7oTwu7UpO21Kx+12S3hPw0BjotYEzhaxqKkEi8UCp9Mpx9LWb9TITavAd3ItgDUHwOv1wuv1IhAIwOFwCENDqVRCsVhsOj9tlMn7zL4pj8cjSiaRSMBsNiObzcrDUK/X5bjpdFoiYl636mwAa3tjN9bk5SitADfqM0xHlftVjULZP8f3MeUOQGpkNptN6m/8LlWXMHOSz+clK8KIB2ik0/nZVuCK7p7YvGy65sIbodfr0d/fD7vdLnQMmUxGDInT6UQwGITD4UAoFILT6UR/f7+kMcrlMmKxGObm5rC0tITFxcWm/oV2RXt6LBSDwQCXy9WUClIJ7ng8bs5WEUEnNg6/g0gXPiC8FiLprFYrenp6cOTIEQwNDTXR5bDoyIdgvc5hdS2ouB0OBy688EKYzWa5zng8jmKxiHg8Lj0exWIR09PT4v10WloVZ61WK/r7+zE4OIjXvOY1sFgswvF14MAB+P1+PPnkk9I93UoZsU/o4osvhtPpxG9+8xtEo1EcP34cNpsN2WwWXq9Xrr1QKKBcLiMejyMWi+HRRx/F6uoq4vG4gAbUwj6VkZZdYSvXT2m3t6jY6Cnyd7JSMIJZXl4G0HCI6EHSg7366qsBAG9729sAAN/4xjeaPk+PlT95HC2Zp7auyYiIfTm1Wk284c2I2ofCvcBroNFQqaNI4mo0GmGz2VAqlTAzMyMcfGyOpdHx+XwIhULweDxCN0VhVJvP5+UZ5LqwmVetldLBUXtoOlngV9kluO6MXP75n/8ZQAO1xXV/8sknATRqbvz86dOnAQCf/OQnATT6X4j24nFZk1lcXATQQIENDw8DaETEwWCw6bzopFHX8qcKQALWd9S31ESp/p+1ATVHTuVNmCDpPviTUQs9S3oTaqpANRIUtRtbey7qwmgfmFa/t8q1bkfU2goNGX/WajW5bkZZjO7UGgmRS3wYWp27es5aJcb7oSoQn88nLNWVSgW5XG7X0GdqdzULr16vF36/X2ovjNzYNKq9VjViYS2vWCxCr9dLRLK8vAyHw4GlpSVkMhkhtNTp1ujYM5kMUqkUEomE5NvVCFmrWLvSOdGSg2qjetVx4P11uVywWCzihEYiEelP4j5iKpwRMOstqsPAvUOOMS3UmZT93Ct0AFtJN3rZvGy65qKioKanp0VZkmPMbrdjZWUFlUoFF110kaR+qETYD0OOJzYJ6nQ67NmzRziISqWSdKYTFWSz2URhsRDLiInfT89ILdiquVNuJBXR04mNo3o8KpEnHwJ6SOw4z+VyKBaLwvQajUaxvLyMY8eOSZ7UbDY31QS0hh1ozsnH43FJEXm9Xvh8Plx66aVwuVxwu91Ip9P47ne/i0gksm76sVPCFAe9y0OHDmFsbAyhUEiYbLXroV6vGq3YbDbs3bsXLpcLv/zlL1GpVPD8889Ln4LH48HExASMRiMWFxeh1+sxOjoKo9GIWCwmRoWpWF5/O6DHdvaEGl1ro2juReasb775ZgCNPhhthzy5pdh3QjQRO7f/9E//FEAjwiGlzqFDhwA0PFz+1PZdcV8ytU1UGSndiSoik/lmRK1Fqn8jtJjpYBqWPXv2SMbDbDYLaWu9vkaLT9ogZkz6+/uFO65Wq2Fubg7xeFwYPur1OoxGI8bGxpDP5zE7O4toNIpsNguDwYDe3l7odGtIRe5DzoZh2lQLJtiq8BqJ5mKk8B//8R8AGpT7vD+MPMiWzPvCPqTJyUkAjdoL+1FYa2PkQ/3Az73//e9v+Xn2Qf3FX/wFgEY/DCMmogsZ0XC/qI6wVrZM/8KHVM2F8gtpbOiJ8CKZ68xkMshms2JELBYLXC4X/H4/gLUHiQ1O3KA0KlpcOtDwkFVeLrVmQUVBI8ZQXfWititMFdKI0vsiNJbFZT4sxWJRaPWNRiPS6TRisZj0XKigifU8ajWNw9QF+2OAtU3q8XgwMDCAVCqFvr4+lMtlFAoFiRp3ymPnmng8HvT09EjhVVVwxWJRHI1WyCB2VjudTni9XphMJmm6ZZOtxWKRY7BPRW3Y5bqrgI5uL8vuSqtnjM6XzWaTfcpUlbYuw/dZLBapr7jdbnHAisUiMpmMgHf4GRokYA2mazAYkEqlxLgAa/uQMGb+vp60gpp35UzZtHFRaxuqcanX68J0OzQ0hJ6eHvT09MBqtQpmmznPp59+WgxMuVzG8PAwDAaD5AEXFhaQSqXwxBNPCDxVzdUSsss+G7fbDYfDgbGxMej1ayyo3Gw0IrVaTYxKPp9vm1rbqnAzDwwMoKenB4cPH5ZO8mKxiGPHjiGRSMj1hMNh5HI5zM7OihHJZDISdTBtSEPRqscHaDABqKSfZrMZbrcbfr8f/f39GBgYwOjoKKrVqtCgPPzwwwiHwzh16lQTA0CnhMbcbrfjkksuwfDwMPbt2yczf0qlEk6cOIGJiQmcOHECy8vLwn7Ne8O1uPnmm+FwOCS6WVxcbIpqaagTiQS8Xq+svc/nE8BIrVYTFggV3tzu/m+nsK/T6aRmMTs72/Q93MP0VFlz+dSnPgWgkRtXawNAgyOMEQk90cceewxAA91DoYJkvws9VfZNUHGzFsP387yYqyd66dWvfrXwTG1mHbRFcv6dozVcLhcuuugiOByOpjVjczUhxUajEUNDQ8LIYLVaUavVkE6nMTs7i3w+j2g0KgS4LpcLg4ODcDgcqFQqsNlsuPrqq1Eul5FMJqHT6aS59vjx40ilUpiYmEAul5OshxZdqtaMNluvpOP36le/GsCZXF+MVChcr2effRYA8Jvf/AZAY/9wP9AgMsLkfqHOffHFFwE07jt/ag0oj/Of//mfABp9L9yXPD/tM0FHoJVsu+YCNFJC6kAewkSNRqOkPwqFAnK5HCKRiEQl9XpdehZcLhfq9bo0S2lPul36QkWN6PV6+Hw+UVT0WtWcLz+nHr8T0QtDX6YH7Xa7oOTY1MVNRQOXy+UEkskNq0Zn6yk4NepSUzxqzpmoNKZhRkdHpWnT5XJhfn6+CeDQSWPL8+L10fOkwiETQyaTOYORmJGHWuhVUV4q0ovnTcMaDAbhdDolQqJnq46KONvadqWzoq1JMtOgoktZG2EUyoifQ/NUZF+9XkcqlZKmyXw+j2QyKY6YTrcGXWbxv1ariTNLh4x1SAII7Ha7tFqotV2t47VVoMfLTTZtXNr1SlQqFaRSKdTrdSwvLwvc1mw248UXX0Q0GsXp06dlCBiND3OtrJOQ/iUajcpGobIk9FRFeKjpExqY/v5+lMtlvPTSS0gmkwiHw00esaqMeJztFrlVz1Sn00l4zr6Cvr4+uFwugVyvrKzAZrPJCFf2BFFpqjUItS6gFT6wTPmVy2Upfvv9foyPj6O3txcOhwN6/Roz8f79+3HJJZdgeXlZ+otIt9Oux2ijojXg7IhnOsPpdEokuby8jJWVFUnNqQgz7g+9Xo+5uTmBGjOVxkiUe8NoNGJ4eBihUAiXXHIJTCaTIOUWFxcxMzMjKcdW961TooI2gAaqi54hc9bslGZthXU2vo+RC1PFQ0NDABo5co7DPXz4MIBGjp01GkYezJVr0UPamsvExETT65dccgmARl/MwYMHJe29WdGiNumAhUIhmb3C1GY+n8fU1JToEuoWs9mMSCSCUqkEj8eDWq2GF154AYlEAsvLy03OBlNhw8PD2LNnD8bHx1GtVvHUU09heXlZ5rgkk0lYLBa88pWvFGAII5t6vS6ZDu0zsZX6CxGdIyMjABpcYtqIU/0OoNG5z/vCmhtrdIww2KFPJ5Lv5z46W2aC18f90o5hQkXq8veORS7tTkr9qVK7sMaSSCQE9cHcOZUHUzos8DPCadeZzjQSI4XBwUF4PB54vV7YbDb09PRI6qler0tjohq9qBtkvdBus0IvmdESFR+BDYFAAIVCQYwB500QdUeDcrYmyrOdO7175rVp0GnE7XY79Ho9Dhw4AIPBgOPHj0s0ebbhSeuJ1kOl4VfBDXyfGkmoCDteF9+bSCRgNBplT3CdtOvDSIeOBv+xrrNRCp2udE606606D2pkQOdK7UlR7y2jfNbcKpUKVlZWhNWDzxmPy7QbWyXY16KixZhh6O/vh9PpRCAQQLFYFDi46rx2Sj+8nKQjY47pRdpsNthsNlFQ0WgU9Xodx48fRyQSwYkTJ1CtVoXyxO12o16vy5yNpaUlZLNZnD59+gwCQ72+eVyt2WzG4OAgBgYGcOuttwq81WazSaeu2WxGOBwW1mEyDzudTqH4B9a8ge3S2hP2urS0hGQyCZ/PJwrc6XRi3759MJvN8Pl8SCaTwvycyWTEm+M8F44cUBFNKnpJBVGwaVJFbwANVA6Po6LX+LA4HA586EMfwuLiIj760Y/i9OnTSCaTgkzaqvB8mXo4cuQIDhw4IH0HFCp/nhfToowyCdBgn0Mmk2laE3W+OtMjFosFqVRKoiSfzyegB3UvAVubUbGRa69UKhKRMDqmV80cO/tTvvrVrwJo5Mh5TmozKNBgu9WmTvft2wegkVtnjYfHI3qM91Tbba71UNn3wM/z/IeHhyXNuJm1UKHIqpdbqVSwvLwstTOVGiiVSjUxdZDtIxwOIx6PS01maWlJ3sP9YrVaEQqF0NfXh56eHtjtdsTjcRQKBUnHe71eWK1WqfUEg0Hph+Kx+d5yudyUUgXOZGXfiFQqFUSjUWE7fsc73gGgcT95vykzMzMAGh34rLGxG54gBaLNeByur3bfUbQRiFraABrcZG9605uajtOuL2o96YhxUYVKhcU29hnE4/GmVBGVCgc3UWlovVlVkfp8Pkmv2O12DA8Po6enB+Pj43A4HE2bDIC8r10Nh+fbKaHC49xuANKFzmI7DRs9cNVwMOJRFWGrc+SDSjQM6W54/axLZDIZzM/PCx251WqVdWAU09PTA51Oh71790Kn00kz1nbXgffNYrGgr68PAwMD4jnyPB0Oh6DA9Hq9pK20tSSuiwoxVb+nXe2PzMk+nw9ut1tIMbuyu6IW9rU1QgIyGL2wD0tNVavKnO9RWR1YnyO1EA0LkZrqjCg+c0y7MrIB1ihU4vG4PE9MuzIa2gln5PdZtkS5r11cVTky/VKtVqXGMj8/j3A4LOErsOZ59fb2YmhoCIcOHZKweGVlBT09PU3z0Vn0f/3rXw+fz4fBwUG43W6MjY3B6XSir69P8OqlUgmJREI2qZpuUUNvdaOkUqmOoaXYDEjSvOHhYZTLZczPzzdR4JTLZUEvMbpp1dinzXEyF+x2u2GxWMSjicViTQ8caU8+8pGPYO/evXjnO9+J0dFRXHTRRZKKY2RhMpnwd3/3d5idncVdd93VkYeHaYe+vj7ccMMNGBwclOuvVqswmUy4/PLL0d/fD4vFglgsJihCbdc8vdtW9SDeX04rNJlMopQ42+W6667D6Ogo7rvvPiHIVPdWJ4VRKPcTPUrm1skmSw+UKRhygNEpufLKKwE0ah9PPfUUgEaOne87duwYgEbthsaTufP5+XkAjYiFES6jPq1ny88zEiIq6Qtf+AKmp6c3txj/LzQoqufPyJnRSi6XQzQaFVYFOkBMHdvtduHPYgGf10QH4rrrrkNvby8uv/xyeL1eeDweVKtVHD9+XPrIiFh1uVzijDBCISCEPS9MIaupMTqQm4Xvm0wmGVoGAP/yL/8CAPjc5z4nawI0nvuf/exnAM7sWyGHHCMdRhpEGar6Vf3Jmh1rPlpOurvvvhtAA414yy23yHmrx+VP7p//+q//knqPVjoaudDjphJPJpOi5NTGNRbfiG+nNx8IBFCpVBAIBITrifDZvr4+jI2Nobe3F4ODg1K4Z/GO0QEAmQujernaPC83rwoY6IRQKeZyOWFoJUEnr0Xtt+G6qRGb1iNXO5kZ8RENRUXGOpfq9VUqFSwsLKBUKgkR3ujoqEQ+KmVNT08PyuUyQqGQ0HRvVtQIi/Uwl8slVPbajmyPxyPpS7UIznSKOopWTYep36duem3EywcjEAggnU43TS7sduPvjqyH+FQ76okSo9JSn1PWZIkY4/PKZ8HlciEQCMjQuJ6eHgEJqNNxVW4xPpMUOnvqs6mCM1h/4Tl1azBnl44Zl3p9ra+BnbAul0s2CydOEubHkDQYDCIQCEgN5ZprrkE6nYbNZkMikUAymYRer0dfXx8GBwfxpje9SVBPQHPesFwuI51OI5lMYmZmBplMRqhAWOzz+/1yDtzUVFxb4U3SXj9TgTqdDslkEgaDAbFYTBoHOXWyVqsJ+IARHw0yDQQ3txphWK1WjI+Pw263S32CFOIM+7Xki/l8HuFwGF/60pewb98+OBwOjIyM4IILLpAoy2AwwOl0YmhoCHfccceWU2Oq8WDuOxQKybWq3hQnCVqtVkSjUSwsLAgcmZ4kr0OlF9KuOeGq7GvKZrNNjXa1Wg2hUEi6stsBJDoprBMADW+dEQO9b+5dToxkfwEnDH7gAx8A0GDH/f73vw+g4cnyuIxkaEj5vTTUrNWwn4YRknYCpZbclfVIRj5kddiM0MCrWQI6BNVqFaurq2eQzjJ6UMklrVYr7Ha7RCJkPO/t7YXb7ca+ffsQCARwySWXwO/3IxAIwGazCTXM/v374XK58PTTTyOZTMJutyObzeJnP/uZMD/U63VMTEwgmUxKip1tAmrGoV5fa5VgZLhR4TVfe+21AIB3v/vdAM5kpWbkyMiGr/MnucaIIuTniBKjHrvssssANGo7nFT5zDPPAGhEvqzt0OgzAua+YIREY6qNeD/+8Y8LO4RWOhq50EMg9xMjF3WaItMGrIWoBI9MHfj9fsGym0wmjIyMCDWExWJpUg68aSTCjMViiEQiyOVyonS1YSxTd6VS6QyvZLvXr35PtVoVRZrL5Zog02SNjkQiTSSLKpafa6D2fHCUK709ouvUDnTt+vB7rFYrVlZWhC5DW9fiWm8FcqqunwoJ9/v9st7a96tRXjqdluvXNq+tZxC45kyfkK+NhoTeMY26NlJtlebtSudE3RfaZ0zbnGg0GpsyEKx3EAGoMitQX5CvzuPxNM3j4b5QswJ03ggUIgDEarWiXl9DlRI0wvNVnw2Vs68rZ5dtNVGqi6/O1GAXOjl7OEuEyvHAgQPSPavCB8muPD4+jng8Lh77NddcI1BeevpUGER2RCIR3H333YjFYoKQYu8GDVwkEkG9XofT6WwCD6jps+2KtghPY0sv7Q/+4A/kgSBdxdLSkvR7qLQtrBOpa01o7TPPPCNhvAoOaHUdNDDpdBrT09MwmUzYt28fnE6nRBR8uPft2yde0GaF9zgYDCIUCuHGG2/EwYMHJUJS0wrVahVTU1M4ffo0Jicnsbi4KBEcDcBmaiIWiwWHDh3CyMiIsGTHYjHkcjkcPXoU8/PzyGQyYoRbpdk6IWpzIHDmfBYtNxPXmhEN52XwfXydOXVGFCqPnXo8Kr69/z9JkqkfeqqsoXCf8XuJDuP3sb7CWg+fk82K6nCpEyZVUInL5ZLshVqXcTqdwnqu0+kwPz/fVA/p7++H1+vF0NAQXC6X0AER7BKJRFAoFPDcc88JSwOzCTRc6nEnJiak9sLoiGm3arUqEQ2d581IpVJBJBIRlgOVegZooDwZBRDdp92f3E9cU9bkeBwyMRDtdcMNNwBoRMA/+clPAACPP/44gEb/E/tmLrjgAgBnjidROQwB4H//938BrKHZ2u2LjkQuqtIAGkgQKgr1wXI4HAgEAkIDQq+ceXDmVml41BnrfCAIUyYf0NLSEpaWlhAOh6VBqlqtSqGeTYosFPKBpLHaSc+VntfAwEDTrHcOPlLn4XCNWK/g51UhUCGdTgt6imu+nrCGEYlEBHrdqlFKTV9tVlSUmN1ux+DgIHp6euQh5nvoUUajUYTDYXFG1LHWm6mJqPW0Wq0m3GOchsrm1FaRUDdy2VlZr57JXiaV/FZNpanGCIA4X4z8PR4P/H4/+vr6BOZOmhWdbo3lmEjVdDotkQvroTTEHPNAdKsKmTcYDJJRIYigyyu2MemIceHmIXU6C20Oh6Mp9B0eHkZfXx9e9apXSdc4kSBMAdXrdfFUWPxeXFyUHHEul8Ovf/1rxGIxTE5OCsqEkRLRVJVKBYlEApVKg8q/VqsJqSQNVy6XQyaT2REFw96csbExvOc975GHoFarIZFIwGAwwO/3S1+EzWbDoUOHoNPppAbB9SMK7Le//a08IBsBIqhInXg8jnvvvRcHDx7EzTff3LT2fO9WjYt6HmwafcUrXoHe3l5Zf76vWCwikUjgoYcewvT0tKCEeE2bAVjQmNVqNSwsLCAWi+H+++8HsOalM+3BaYc0gOp+6+S9J4iDniQ7qtnXQrZhvk60GD1W5sz5uT/6oz8C0PBYVaUHnBkp8330VPk6PWWihfh9ZOcl+y25p4hy0/bFbEZYC6UwraUydLC+wucWaO75qNfrgu5kLTIUCmFwcBDXXHMNhoaGcODAAeh0OuGnC4fDSKfTwptHg3P69Gm5N/x+Gji1BYDcY4SyX3nllTAYDKJvgM1TwNBhJDs1IxM6UURz/ehHP2pad4rWgWf/0mtf+1oAwK9//WsAjT4qOqc//elPAQD//u//DqARAfP+MrLl97M2x/4aRjb8HCOv73znOwDQhADWSkdrLvQyVBgtkU0WiwUjIyPo6ekR2gdCR9WUCVM86rhb5kbZYDU1NYVYLIbjx48Lhl3twGfuVq1h0DNi+M30khbq2ynheXCcbzAYlFqSiubiwz02NgYAQuJpt9uRz+extLQkDMYqbHIrCDcaNeaWCXZQZTv0L2p0wqK+OqeFr/Eex2IxrKysNNHebOW6+KDTO2WRmyAIv98vnrDJZPTTonkAACAASURBVGpij+jK7gkNiNq7xhQp0KhRMj3OCJfPEuu0oVBInimOu6YhI4FlKpUS+h/y9ql9ZCoDhNpTo42wATSljnkuXbTY2WXLrMhA8wAgFb7H9EYgEBCEUzAYxB//8R9LQxvhhawrUOHkcjk8/fTTiMfjMut6bm5OCr/5fB7PPvusDIpSz4WoDnpCNBzM7fr9fkGd8H3rUaxsVQhacLvduOqqqzA+Pi7wSIrL5UJfXx+cTify+TxSqRT0ej16enrEOMZiMXz+85/H1NSUeGUM6Td6viqcGYB4Zs8//zzK5TJ6e3ub7ttLL70k3tlmr5kRAY0FnQf1XBi5ZDIZnD59GidPnpRU32YNC7+PZJhTU1Pyf4Io6JCUy2UEg0FYrVasrq42Ne51UtiYyghkdHQUQGPuilqLAxqRyoc+9CEAjQiCCldtxlXfr+1jYMTCCJ8REX9nxERnhh4rZ64TpXb06NGm79+uUF/wXjFNrFIS0dFiKpONvUSLEs6+b98+eL1eHDp0CF6vV6IxcuMdP34c6XRa6ndM/dJRJfKMBoczULgfmH5nHVgd98A1qVQqcLvdmy7qm81mjIyM4M477wQAjI+PAwDe+MY3AmhEDg8//DCA1uzDQON+8v7cc889ABp9K0T3cZ888MADABrcY6ztUHg86lGi2FiL4/eQfZvHb1cTUmVLbnu7PDX/xloCawuk3/f7/XC73U0PCr0TIqY450Ud9UvEF+HFyWRSXqc3xIhA7XugB83NTHgqv3+rtYWNrA/pcIaGhjA8PNw0UlVdO86woBDxUq/XRTnTk2NaYTuGkLWw1dVVhMNhQczRuExPT5+xATdz3VQGdru9qfGM312tVpHNZpFOp6XWsp1r4lqrqCJg7WEmCESnWyP07O/vl6IsYcvd6GXn5WxevholcI+rHfEqLx1rNACEyHR2dhapVAqrq6tCfMsIhcAQldhShT8DDR4+VX9xH7P2q6ZQuz1SG5OOsSJTaRHOGggEcMEFF8DtdmN4eBher1foGAjDffTRR7GysoLV1VX5LF83Go1CqU1DEg6Hz+jlUBWXyiCswhh9Ph8cDgdCoRDsdjt6enpQqVSwuLjY8Vkm/E6Xy4W9e/fijjvuwMDAgPTn8NwY3fHvTPGx9yWRSAiChzWo7RgVeo9E0T322GNYXl4WL1Cn02F1dRVf/OIX2+LWzyY6nQ5OpxPXXXcd9u3b16QggEaj2pNPPomJiQm5PmDzOX21B6harcJqteLIkSOwWCyYmZmBw+HAW97yFomUS6USHnvsMUSjUSwtLSEajeKHP/xhx+lg2NfF/pVLL70UQMPTY8qOOW1GLGQlpuPDdSMDA3PpZD1m5MEoUwvsYOqPHuxFF10EoDGvhTl09r1wboi2xrJd4AMdPP6fyp4tAACaaJAIxOEzQDaKQqGA48ePw2azYXV1VVod2IKg9oswumeajd34dGRYEyaqlChC6gwCjw4cOCBN3qxRMBLe7L4pFAo4duyY3F9GDOxDol5lj5m6ZkCjf4n3kRxyRP8R1Xf99dc3HYf7jJ/XosBuvfVWAI19xo5/Orz8/le84hUAgA9+8IMbvuYtFxy03ggjBKafPB4PgsGg0LXQYFDBlkolrK6uYnl5WdiLSWlCJBUbC/lPnZxIb1fd8PybmupQEUz8nZuq05MYaRhJ9z08PIxAIACn09mEetHpdE09F9VqVSIyItzo2av9GZ1I36mRi8vlkoZTvV6PhYUFTE1NbYkVWadbo/PgRFGPxyOwUbUBjV4i2Qo6UfNSaULIF+VwOOD1euH1esW4DA0NCasuxzd0c+c7L610BaNYAE2jE4BG/wt/0viwpkJC05WVFRQKBYHDqlNfVVH7Y6inGK3zWVTPh88b/0/IP7n8tpI2fjnKltNi6oPJPCWLbAcOHEBfXx+uuuoquN1u+Hy+pqa2lZUVxGIxTE9PY2VlBYuLi8LDxR4QFurj8bjkTflP23CoLcapxoIKmbxl9XpdqP8ZVncicqFy279/P0ZHR/HWt74Vo6Oj8Hq9TVTzqgdYLpeFiWB2dlbow1WanGg0KqSfLMBvx8CwnjMzM4OlpSVMTk6KQWfPzVaOb7PZcNlllyEUCuHAgQMIBAI4ffq0KA6TyYRQKASdToeLLroIfr8fjz32mHiO69U+tF5cO2XFSGh0dBR+vx9Op1NABezt8fl8eP7550Uh0fnoVM3N6/XihhtuwF133QUA+PrXvw6gEbmwhsJ5LPQw6RlrPWLuTdbrmJun58rj8fxZa9FGHt/85jcBNCIXng+/l30t2uNtV1i7oBJnwd5gMCCXywnhpF6vl4mzRJDxGQ+Hw02sHHy+WbBPp9PSxsC6Cmtfer1eqJfUzAmn5rL/hKAZteHy2LFjTfWXwcFBBAIBHD9+fEtOiU6nk5oXIwHWQthxz2tj5MD7w8iDzADkAGMk/JrXvAZAY59wMuULL7wAoKEjGTExUuH9ZkRE2LU2hU+Hk/tmIzpzS8SVrX5nYZUeYyAQgMvlErihTqeTGgqRHKScLxaLEiaTikWd8c6bzRuvehbrKVsV3cFNQmXGIl8nohZCjkmhwrHCwWBQkCXaWhAfHqK3IpGIGBo158yidKciFwqvf2ZmRupDjBQ3KwRTcPJooVBAMpmUplXCy4PBIMxmszAhB4NBZDIZhMNhyZFvVriWhDfX6/UzWBxana/aG6NVxF3pjGgBP9p/3BsqEkv9nPqs0Dixxwto9HypDcRq2ovRCZ0I1jNVY6fqE9XZKJVKQhlULpdhNpsRCASa3teV9WVTxoWKmkqAm4JFNpfLBZ/PhwsvvBDBYFCUDW8I8ecvvvgiwuEwnn/+eSSTSQSDQdTrdUxPT0tqjfMVstksEolEU2FfaxRYT1DPU02TDAwMwOVywel0olAoYHp6+oymva0K00HXX389ent7ccUVV2BoaAhjY2NNzVgqfTh7cGKxGH7+858jHA7joYceQjKZFOWuop60hIxbOV9tCohKlT0+nL63FfSUzWbD+Pi4RIc///nPUalUcOrUKVQqFfT09GB4eBgjIyPCJ2e323HzzTdjcnIS4XAYq6ur4mG2i1AoavqkVqshmUwil8vh/vvvh8PhwGWXXYahoSFc83/sfXlwnPdZ/2fv+9ZKWl2WHDmuEztxjqYJSdOmhCltoU0CZegBpdABOgwwHcofdAb+YBjgD67hRzsdmOFqSWHSKdB2eqdkSHM5cZwmdmzJlm1Z5+5q7/v+/SE+z3739a6k1WWrfT8zHlmr3Xff93s91+d5ngcfhN1uF/fcxYsXEYvFpA+7z+cTNymp6zsN2LIsyRe+8AUAwOnTpwG0WVi0rhgL0VazVd03QFtzpcZIhhTZQfSpazOptWOltUxYZZeZ2ZvV1tvumrNarbLHVCWP3g6z2Sxrjkom0G5zrZYDojuKhBPGS1Xrk0qqNtZnNpsxOTkplRvK5TKWl5dRLBalorjqhuM5RKWYY9VqtTqSl7cKxnK0/XJooZAlxvwmPqu2CjZrgXHd0KIgi4sxGMZNteQcji9ZicxrYWa/lo3Idfjkk0923MdWsGOHNxcBNVL2rWacQQ0gkckRj8eRSCTkUKD2kcvlhKlBzUFtnKXmd6iLnQtL1XxoytKnz1Ix2g6GO9VADAaDmODDw8OSy0PTn1A1K8ZY0uk0VldXpbIAA5EApHIr+4rvpnbN+1D92juFSinNZrMolUpYWlqSa4fD4Y5DxeFw4NChQ6hWq3C5XHLYbfdZWIW7Wq0iGo3C4XBgbW1N3DAUMNyMpItbrdaOEi1aRUXXUHcO7k2V7aXGIAm6tRwOR0e9P5X1RUsH6MzJUi0dvoeMRTI1qWDxvFGLvWpLDVHZoOWjnjs6W2xr6Eu4qEEvNbclEAhIv/aJiQmMjY0JN5yLqtls4sqVK1hcXMTrr7+OWCwmbI+VlRWYzWbEYjE0m+2Og4VCQRaVeg/aDa9q9TzsLRaLlJhZWVkR4UYBo9WOt6uZkXJ99OhRTE9P4/jx47Ko1Q2ixlEKhQLeeOMNXLlyBd///veFQtlqtYRrz81CgbNTF566IdXn3Y2NwjkMh8NoNBpYWFgQFyh7pUciEUQiEYlBWa1WnDx5EpFIBF/96lc7yAzdLJaN5ocCga61N954A/Pz82g0GhgbG8NHPvIR6flhMBhw/vx55PN5BINBcXuQks054rj0S27IZrP43ve+J751aoS0ONgnhUmzVEC036P1dVODpUY7PDwMoG2BMAZDKjY/x73D91GTVZUY9ft6QWV3bRVkaKl0cQoP1WIB1vcSKexTU1NCMebcUCkDILFHde2qaQXcR5OTk5KCQLdprVbD6uoqSqUSMplMh9KqngXcp9zHZJ0aDAbkcrm+q6gzAZr9U2hZ8JxkLIy5N6yUoM2LIkuQ80zLh/PL9UFri2PG9zPmQsuHVZI/9alPAWiz1xh7ee973wugXfFBi408KdsqXNkt7sIFpCZIqQF3xlpyuRxSqZSUZqGGwHhLs9mUQLuWyaX6x3s9KK0oBnFNJpNktas9XnbjUFW1MT4nDynSLVWSAWNH5XK5w3rj8wKd7Um1vuDdslp4/d0C558uS3b8A9bnjLXkVA0SgJSfcTqdPcvObPWZVa2SB+jc3ByazSZisRg8Ho9YVozpceMxJqhegxZPv6XVdbShjbGooAtLZW9RKdRaNVr21mbgunK5XHJNUpxLpZKcBzxzVK+A9nv5Ov/pDMOtY1tuMXUyWLeHbh6fzyeTQgETi8WQTqcRi8WQSCSwuLgo/ezp0gDQ0RyK/9QJ36hII4PKNptNstzV67DkQ6vVui5xb7uLhRujXq9jZmYGq6urmJ2dhcfjwZ133gmPx4NIJCL3QmbK2toazp49i8XFRREsqubEQL66qHciDLTxqN1mSDkcDkxPT2N+fr7DtcfyN/fddx+OHTsmh7jqYjCZTBgZGUGxWMS1a9c6rMrtPB995vV6HWfPnhWNPhQK4dixY5LfFI/HhRk3PDwMo9EolNNUKiUVohkr2SqYlzE7OwugrXHSJ05hRU1zq5YR30f2D33r1GRpGZEtph6MADq0fvV1opcFrzJC+12DRqNRNHOChBqmLDgcDqnYQZC9pQqgXtfnTyp6drsdR44ckcrcZEZSoSsUCmIha11qfH41KReAsMjS6bR4YbazRs1ms1SrpmXCeeG8Mu+E1alpsRJcB1RCOf+8Di0WbexOa3WSncZ1w5gKM/O/+MUvAticPWi323tacTtuc6xaLHRhVSoVlMtl2O120RTV/ucUKlwQvHm+3m8cQDW32YTMZDJJCW4uht1mXAFt3ywp0xyHpaUl+Hw+cQGpTLV0Oo1SqSQ10TiO6nio97pTwoGKvWBGqbEkdV65QRmL0woB1Y++m1CVHoNhvQhovV4Xtg8rSjO4rLY3UDehXkNq51DLRalWs/p/ukK59skSBTr3BS1KQhV8rMfn8/kwMTGBcDiMoaEhVKtVUTq1CqWahKsqsrSe1BgcXWW65bJ1bDugr2qeY2NjEt+oVquYnZ2F3++XzNjV1VVks1lpa+z3+0Vb54FM1o6W6aEG6buBcQ+73Y6pqSmEw2HpujY7OyuUZ8Zauh3a210sdMHU63WcOnUKIyMjOHnyJGw2G5555hmUy2UphXPLLbcIv57uObUJEYOQ3AS8/nYPXnXj8VrAxtTt7aJUKuHChQviiuQzsQ2z6jZVffcsh87kza0w1bRWmIpucbRms4lUKiXsoEZjvdS/xWLB3XffLTkVlUpFWEMM/Mfj8b5jLiyho41lcPzpE6flslVrgNfhoUufPfMaaLHw74SqvG30ffy79v2ExWLZFpOQrmCCSiAAqT6cSCTE4qMyplaBZkfRUql0neuK1orL5cJ9992H8fFxfPzjH5f6X/l8HisrK1haWkI0Gu3Yc7Si2W+Ke5LWFmO0/BvHVhWYWwUrBfC5WO2alRF4bVoqjIn0Aq0q/uxVqUH9fqAd4/nwhz8MoL0ePv/5zwNor6utnhGTk5O4cuVK93vc0hUUdHOnqMXzisWiBMwoLFZWVqToJNsMkwVFzbXZbIqmqD1UVQGjunXIyGK5hsn/S56b/L9igcViEU6nE1evXt01dpgWtFyKxSKy2ayw0Zi3Uq/XJXOd1GS1e6SqsdEFoPL+t+si4nW0ddz2gv1E1ybnTmt5qhWugc7E1lKphEKhIOSNrTxbv/dGRiKt42KxKFneACROpBY7NBgMcujo2D60Ll11jajxSJXdSQVTq5Cw/xJBN6vFYoHNZoPb7YbX64XX65WCsKrHgh4W7jMmJqpua/6+2T7RrZfNse0kSh4QjUYD6XQa5XIZqVQKdrsdhUJBtNZ6vY6VlZUONg79rZFIRKoeN5tNKRkSjUYlMYrfyUVE36XNZsPk5KQ0HwsGg3j88ccxODiIiYkJGAzr/R0WFhakWmqv2MV2D1xVWNVqNWQyGTz33HMwGAw4e/asBLZdLpcwk1h1WDXF2RYYaNMunU6nVIrdyv2plgo3pcPhEB77xYsXUSqVZBx2E3RLslEbXQkGgwH5fB4LCwuiWfJgYQJpNBrF4uIikslkT3dot43cLY7E/9Nao9a8uroq/YUASPmXs2fPSt4DG0uppUJisVjflgvdJ71iF/RPs5ZYv3PBA1CbL9PrOto8q82g3R/UjKmc9As1f4iuR16Xa54EDLVUEC1+VjpvtdY7yFI5YMUFk8mEeDwOu90uJfmZaPnaa69hcXERb7zxhliKVqtVLKbBwUFxpQGQVhRkOzIFgmuCe2s7JWCazfUmdqzMwJ/MtGfveloBveZLO8/c31wHvG4v8POsQfZ3f/d3ANqxHG3tsc0wMzPTc130nUTZzRWhlq5gIp3NZhPzc21tTfI2+ADUNqxWKwYHB9FoNOB0OsX6YVCWi1It68CEyOnpaTgcDvh8PskzYZFKAFJKxul0dpR+321QyDBgT62X1gmw7rYwGo0d5b35We34qsHTjawXleJJwavy+Z1OpwTubDabWI27bcHx2dUse36PKkxU65HsHeb3qMpEr2fdCL3+Tgup2WzKmFOI5XI5GAwGcX+odG+DwbDpPenYGNo4J12/nH8eoPxJ6xdol5SiUsnXaOXYbDbpj1Qul8X92mw2JfC+uLgoLnlS/YH2vqHwYkUHFtTlWqaitFcW/486+hYuqu9VdTNUq1VYrVZhZQAQHzzZOKurqwAgAfdmswmPx4MHHngADodDtIW5uTkUi0XpGlepVKTZmN/vx7333otAIIBwOAyLxQK32w2r1SrWAYN0FE6RSAT5fF5qEO2Fe4wLm+VbWLaF93/q1Cmh66qcfd4vNSNWQDYajdKDohuJggKFPXMOHTokzDVq7Cz532w2O2pRqZt+N9BoNIT9R3CMDQaDuC3Vca9UKvjBD36AS5cuSSdRrQakBnO1cRTte9Tv1fqdaSXSDUk3Szwev249aNls2xmjjT6zU0KF9vO9mDock83yWFQrb6PPb6c9BQW7Oo5qzIRWORUw/lRLNalpBRQqo6OjcDgcGB4ehsGwnh/D68bjcXzpS19CvV6XKuq0TPn9brdbzg02DdQqFXSRquuN36FSo/sZCyphKpj3RMWbFRN6gfNA1iEz+hkKoIWmjYNQQLN/D/+urQhA9GIParHROGwrz0X7u7YfO2+Ui4OJVCrbgpRhv9+PqakpOJ1OYZUZDAbp7cK4jNlsxsjICPx+P2699Va4XC643W4J0KlZv1wQxWJREqFU5s9exR0ajYb4ebVZvaT0qRo9oS21QCGuVg3WJscxcD45OQmPxyMNliiQ1Y1Zr9c7amnttr+4l7uR36NaLtyYDJiziOhGi1RL6uBP7YHXbW2q0CZo9vpO9Xt0jXX76CWcVXKBquRwfpgjRqWA80TXF/d+KBSS86TRaMjeotcgn893xNu0LkKVpca4obYKiDZOuNFz6ehEX8Kl2Wx25CFQEmez2Y7AtCrha7Uarl27JgelzWaD0+nE8PAwPvrRj2JgYACDg4Md1U7ZHEvLfKGQYA8UVYhQewbWOeLFYhHPPfccFhYWkEqlNnRx7HSh8F4ZoAbarhd17Pi6OkZAOx+AlgerHgQCAZw4cQI+n0+qnK6urqLZbMoGIzuNJWW+//3vo1gsdrgJ1GA1hRTvc7cErlZgUcs0mUxYXV2VWBywbj0lEgmcPXsWFy5c6NpumddQD3i1nI7BYBB6s7Y7p1Y4qNfWWin8Hv5NdS2aTKbr1uBW0I1NtNvju9l1t/p9vE+VAq9+nt9LJbFfaO+D61H9Tm0cl9Y3579cLsNqtWJqakrYpn6/H29729sk3aFarUo+CwVLIpGQOWWPpUajIVT0+fl52Gw2RCIRNBoNydNS6ce7beH3ek1liKrg2Gjd6CQjED/84Q8BtC0X1QUMtMeaeVvnz58HcH2Nsq0qnlpvQTfsyHJRNRD1p1abUJlLDodD4jH8nSwqLgSWNOBP7QGossqAtmbMAWKXwWQyKZWX1QNsLzRSbozNqJ7dXu+mKZG2PTQ0hEAgIElzvHd29YxEIrBYLCgWizLG9fp6i2EGEUmX3uj+duP5tb/z+8jGYon0dDqNxcVFCaD2e088+LnB6DLZ6kGgdTGqr3eLK+rYPjayXFQFayv7Q61NpuZPUbnLZDLI5XLiAlNJM9pr0svAslCkGndrRKhje9hR+RftIun2u8lkElaXz+eTQ8FisWBmZga5XA5ut1u0b8YSgHYNIVVKqz51ABJEr9frkmfz+uuvI5VKIRqNIpPJ4OrVq9InpZvLYz8XkbYGEgBh3DHIaDabMTQ0hMHBQRw7dgxer1fcbZOTk7Db7dKAjRUR6HpUqwCXSiXMzs4inU6Lds840G4/u1ZAMFmRz5vNZvEv//IvqFQqOHv2LBKJBObm5no2a+t2yHP+qJw4nU6pHVWv1xGNRjvqgvUraLSHiuqS6Qd7IcC77bndAOeH+TJkoWl98f3W0iI2cpdqx1vdm1o6fqVSkeZgNpsNPp9PevZw31cqFVitVpw7dw7JZFLaaNNKp3eEwooVwZkjxO9XFVV1jHY69hsJWq2Ll/fCvBR2iGTtL56BrATBGAyfVa3Crr4+NzfXcX2il8WqRTdCVy/sqCoyJ34jTY/CgP5NBswKhQKWl5dRqVSkPD8TKjlwzH3QNq5RLaR6vS5tkh0OB8rlMhYWFpDNZsViUQ8c9b5vBLSCmK/R18u6ZDTvE4kEyuWytH6lpUfapdpQKZVKSZsCkiMSiYS0ceU47NezN5vNDjp1LBZDoVDAzMyM3ONGlMdua4vChQeM2WyWZ1XbO2xVsKjKjLbckK657hyqkkB301Y+A1xv/XIP+Hw+6QNFxqkac1Xz54B20Vht3xfuB8YkWa5qswNWx9Zg6GcDGQyGlkoNVPnrQGf3MjWITo18ampKfPCtVksOyEAgIMUuXS5XRzY7WR/UuLkYeDDwe9TETNao4qKkxqP22uZ9an5ueTUZDIZdPXlU/z+fRY0vqewyZvuSzt1qtaTcPH3G2lI7ah23rZj8/Y5FN/cS3Rc+nw8Gg0HmUE3o7HUvWstFXUe33HILAoEApqenYTCs5zOlUinJIaKVtxWwQyaw7n9WrVvlHvsei90WTFqB1y1epGI7rsaNXlc0277GgnFWoJ0rw7nVxnn4fercs6wLx5Ts00gkgve85z04dOgQ7r77bhiNRly8eBHxeByvvfYa0um0eCwWFxcl+x7AdQVztfFYdW3yvFHHggJsN8+LXvPLjpHsA6PmAaljt53qCTtBF0v6urHYeQNz5cu6LdBWq92Mic2AmKlfLpcliY0Hqsfjgcvlkkq5LOdOai/jK9TyGaizWq2w2+3iYmJOB3nxajCY93UzsYFUq0ylKtNNQXCc2bKVWctq4yT1emSb3QiuPuNipD+TDLJVf3Y3y4XrhJ0vqeywfpuWBMD76PV9qrK0Hbqtjs2x2bhuND884OnxYIwkn88jk8kI9R+4vk6ZegCqFrJ2L3Rbk1rhrX1dx+bo13KJA5jfu9u5oTjUarXCW32zPhZt6GPRhj4Wbehj0caP41j0JVx06NChQ4eOrUD3A+jQoUOHjl2HLlx06NChQ8euQxcuOnTo0KFj16ELFx06dOjQsevQhYsOHTp06Nh16MJFhw4dOnTsOnThokOHDh06dh26cNGhQ4cOHbsOXbjo0KFDh45dR79tjrdclE8tTKetZrxTbKVRzXawnwUKOT5qTSwWeTQajVJHia0CWDPJYrHAYOhsl6zeQ7digP3e13aKNW7ry5Tv3OzvbKimrqlqtSoFCNX6Ubtd1fhGFjS92bCdsehnn6gFb1kDbKPK2duBtl4Yf++3+ON+rItea7lbrUSgd1MxPhv/zhL9va7f7zmy48KVrEyr7VGuwmQyIRQKSb8N9ipnNdztbHh1ANQDmeBBy8XY7+GyHSHBgplq4Txg65PC5wgGg3C5XDh+/Dh8Ph+OHTsGo9GIlZUVFAoFXLlyBfl8XsqNs7uj3W5HuVzGuXPnpFcDn6VfcF65ofvdzDwQ1DLnm71f+938xwKXQLtI5cTEBI4dO4bPfOYzGBgYgM1mQ7FYxDe+8Q0sLi7i9OnTiMfj0h+Gc8BupTtZdz/q5ZH2sr2Ael5sNpZcQxaLRXrJ5HK5684a7TXUni+bFURVGxdyvXF9tVotzMzMdHTa3U0Y/q/XkrpXe70PWG8WCED2Au/JbrcDAG655RYAwNGjRwGsd98FgKGhIQDAiRMnAAB/9Vd/BaBdwPbIkSMAgB/84AcAgHQ6DWC9wSIAPPDAAwCA559/fjuP2YG+hEu/2kcoFEKz2UQ+n0epVNryZu3VG11bll693n5XK+VC7tZvhD83elZqZLQ82KeFn6WWHggEpGQ5+1QA64uP1o7ahXEnG2Onn98u+AwUBmqfIJZcd7lcCAaDCAQCsFqtcDgcOHToEFqtFq5cuYJ6DKl5YwAAIABJREFUvQ6XyyWtiX/UhcJBAdtFbCZYqGxZrdaONua1Wk26lWormWuVlK1W2ubeo/bPfahjd9G35UL06sHRarWQy+VgtVrxtre9DWazGXa7HfF4HFevXu3Y+NoS11xkav931e3Bw4YHr+oa0vZcACDaOL+n1wLazkHEXty0pngNbWOzXtfmswHr2sj4+DiCwaB013vkkUdQr9dx6tQpJJNJXL16FYVCAVevXgWw3imwVqvB7XbDYDCIZbMdtFot6WOynbLz/DywtU2uCmX2pqGGq/6jwPF4PNK2mWNmsVhw/PhxDA8PY3FxUbpSZjIZzM7OdrSs3ep9/ThiL8fEaDTC6XQil8v1bPnA9hEWiwWhUAiBQAD3338/rFartCh/4YUXUCwWr2vVzeupFvNm5fvVn2x1fPHixY5zZi9AC3or7wPanT+1fVvYmZKdMvm+j33sYwCASCQCAPif//kfAMDq6ioA4NChQwCAe+65BwDw0ksvAQACgQCAtuXywgsvANi6RbvReO9aPxcAHdYEtW+LxYJAICC9XFQzluD/qYlTK2fcQdtuVrVc1IfUajXdWgrvJngAqvfQLyicvF4v/H4/BgYG4PV6pX3x6OgorFYr0uk0jEYjgsEgms2m+E6p9e+G5XYjD99uPt9uPYJU9webpQHrY+/xeDo00m7X3ck96egfWzmc2Po8FApheHgY4+PjcDgcyGazyGaziEajSCQSSCQS0oKYQkaroG7VegE6G211s4b0+d8Z+naLqS2GtbEQxgOsViucTqfEBsbHx+FyuTA3NycaMrVd1b1ksVjgcDhw7NgxmM1mrK6uolQqYW1tTawTNaDL17QaCYUYG2kx8NsLu6HVaoOCWwmE8RnMZjPGxsZw+PBhTE9Pw2aziUV2xx13oFAowGazIZvN4vDhwyiXy4jFYshmsx3tXXfjOXbiHtBu0K24LJvNJlKplPi/1c5/drsdZrMZhUJBGsuRzNBoNFCpVFAsFrG0tIREIoFwOAyr1SodSenrvxnQKxbXTXj2cz3t+2+mA7HRaCCfz19HtCBUT0QgEMADDzyAiYkJPPbYY3A6ndJQ8O1vfzsWFhbw1FNPYWVlBalUCvV6Xdqgd3OVqeOgHSutJ4N/53VuVGM9FYyRUFFi7IUWBkHLg0oWYzGvvfYagHbsZW5uDgDwZ3/2Zx3fpx2bXm7+zazBbujbctkozsHOkNSm6/V6RwtRBtF46APtrnAURA6HA16vF2azWRgNVqsVtVoNZrNZrsEH6+Z+Un2zW4kj7KbLZLuBY44b2xtrDyFelwKcrYO9Xi/q9Tqy2exN7zfuNc60TLUMGILrqVaroV6vw2w2y5oxm81wOp2oVqswm81oNBqwWCwidLV+eh37C20L427g3NASZYyt2WzCbrdjbGwMJpMJo6OjaLVaKBQKHWtd6xLr9T3dXqcSCnQKGyp+OraPvoQL2+qqbB6DwSCuCPpOyeZaWVmByWTCwsICMpmM0EnD4fWmZclkUibQarVidHQUPp8PQ0NDoolT86nX6x003UqlIpqLNmBI3/xWqIU82OnD7Bc70Ry5sI1GIzKZDNLpNLLZLJxOJ5xOJ5rNJi5cuIClpSWcO3cO9Xodfr8fbrcbDz/8MMrlsrSBzmazHVrizeTi0r7eyz9eqVQ6DoBKpSJsnkAggMXFRRSLRYyNjQlt22az4YMf/CCWl5fx0ksvoVgswuVyodVqdTBtuikaG2m73e5vJ+hlyW52fWqWg4ODACBsI5/PBwBYWVnpeP921/Fm2O5YqGNMJUFVONmWvNlsYnl5GVarFZVKBQ6HA1arFRaLBaOjowgEAvjZn/1ZXL16FU8++STi8TisVut1sRK6zAF0xAF7CRaz2Qy/3w9gnTnVaDSEkVUsFnfVilEFHy0Tzpf2dbU9ufo71zRfJ6vrPe95DwDg0qVLAIC77roLAPDUU08BAFwuFwAgGAwCABKJhNwT0LaAMplMx/1sFjveCLvCFmN8w2KxiNZoMBhQLpdhMBiQy+VkUzCuQmpeq9USjT0UCsHtdiMYDMJgMEicxu/3o9lsYmBgAACE2tzr3vbykOiF7V6fxIVSqYRSqSQHYKPRQK1WQzqdRjqdlj70pHi73W5YrVbY7XbY7faeG+ggQF3IdLGqLDFqkvl8Hk6nUzYpGUahUEiEqpbYsVu5VTq2B+3e6zYfVB65B4rForhEgfU5ZayF7s6NlCiVig60D+ZuSgSVYpWtSFamxWKRfaijf/QtXKrVKgCIxcJNzrwPahNGoxGpVAoAkEqlJNfAYDCgWCyKRmq324Ve6vF44PV68fDDD8NoNOLFF19ENpsVi2V4eBiVSgXPP/88CoVCh5ai3qNKB1Zf67YQ1djPdrAToWIwGMR3vLi4CLPZjPvuuw8mkwkrKyvIZDJYXl5GMpkUbe6uu+6C3++HxWJBqVTqYMrt9J52im6bVyVWqPE69af6d9UP/453vENiTcC6pet2u2U+qQmHw2ERPmtrayiXyz3JIBvdN7ETbW23QFcNNc3R0VEA7XyGeDwOoH3vzG+gJdNvQuBm2Mk6J3hPqnIAQKyPtbU1OBwOvP766xgZGcHo6CiazSbOnj2LpaUlfO1rX8PS0hIWFhZkfru5wXgukHVK4aF1lVerVVgsFvh8PoRCIdx3331oNpt45plnkEgkYLfbUa1WkUqldsVFpt6ndi8MDw8DaAtC/s4zdGlpCUDbdcf18YEPfAAAMDU1BaAdc+HYfuYznwEAfPazn+24F+YSvf766wDQ4Y1S72snylnfMZduk8mDkvEQuqVIO+aAqIlLDocDfr8fdrsdbrdbLBefzwev14tWqyVBPafT2cE+Iw03l8uJttGNSqgKlJvN565Sr9VDmcJb1eJowdntdvj9frhcLpTLZSED0A15Iy0Xdax7BZvV9wJt4oUaQzMajfD5fPB4PHA6nbBYLGIBU6NUSSBAO09B1Wh5XS1tdaN1oMdm9hacM/UfcL2yUa1WUS6Xxe27vLyMpaUlXLt2DclkUgg6Wmud11eTcrlvVMILUxjUyhg8j1qtFgKBQMeZlclk9PjLNrBtKrJ6MDLQTkHCLGnSZ/l3r9cLu92OiYkJOJ1ODA8Pw2KxoFqtSm4HNbNyuQyXyyUlUBifsFqtOHHiBAqFAoLBIHK5HFKpFCqVSsciUBcRhU43v/uNcCdxzJgMGAqFMD4+jlAohDfffFMSyarVKmKxGIrFIoaHhzE4OIhIJAKz2YzZ2VlkMhmMjIxIULtUKu3ICtvJ86iZ2OTi05XXrdyG2WyG1+uVA4DzQMvVarUiFouhUqlgbGxMrkmrhASIer2Oq1ev4urVq0L6YM6LxWJBvV6XHAk1Lwpok0lUTZqKCrA7Csl2y/HwHklqed/73gdg3XoDgGg0CqCtwRYKBQDABz/4QQDAN7/5TQBtH/qNEpqqhk53uDYXjNZFJBJBOBzGwMAAnE4nstksUqkUTp06hWvXrsleYAoAlU6ueb7u8XhgsVhkDfj9fon11Ot1pFIp1Go1WXtOpxM2mw3VahVWqxVHjx7F2NgY5ufnkUqlkEgktlW5QoturnvGdxhTe/DBBwEAjzzyCADglVdeAQD8wz/8g4wVANx6660AgDNnzgAAPvGJTwBo57VMT08DAI4fPw4AePjhhwEAoVAIADA7OwsAOHnyJID2umL+C9cNX1cTuYH2+txoTHac56KWUuCGdzgcMBgMUteGvzscDokXMGhNFpAqrCqVitBMGYfgIrBarRLPAdYPm2KxiFqthmg0ikqlIodsPp9HrVaT+lzdsthvtLZPhozL5YLdbkculxPB083XyzHmxnE6nXA4HMKOuhmwEb2WhwsD8g6HQ+J0LIczOTkJk8kk88jgbqPREHeIelhz4/MadrsdFosFHo+n4zBhIJkWTqlU6koN1i2YvQGViG5Wts1mk38kuZTLZWSzWSQSCaytrXVYLCaTSfLhKpWKuMhUWr7KGOQa4drh7/x8sVhEJpMRhUQVijxY6YnR43hbw7aEi8otNxjWk9ccDgeCwSCcTicCgUBH1jon0eVywWazST4CNU9qoy+++CLsdjusVivy+TxeeeUVVKtVhEIhDAwM4Pjx45KtTQIBqc3NZhOxWAyFQgEzMzPIZDKYn59HOp3Gs88+KyVoVOHCsimb1fvZC/AeXC4X/H4/RkdH4Xa7sbCwgHK5DLPZjHK5jGAwCIvFguXlZdlEdrsdQ0NDcLvd4kLgAXyjnkUNpPMQV5k2PFRUq+Xtb387fD6fsL5CoRD8fj/uuOMOtFotjI+PI5PJCKuQ2lSpVBLBajKZMDw8DKPRiDNnzsBgMMDlcsFsNiMSiaDVamF5eVnciFyzhUIBr776qqwJdU56sce2g60eRPS18zup3fNevva1rwFos8So6VKDfeKJJwAAP/mTPwkA+NznPtfx+aeffhoA8KlPfQoAsLi42Nf97RSqh4PrwOv1inLq8Xjg8/nERd5qtXD58mUsLy/j0qVLWFtbkxw5KrBHjhyBxWJBPB5HsVhEMpkUS5VxO7rP6cGggsLfKcTMZjMuX74sFri6FsbGxlCv18WSpkW+E3Dcqflz/jmPVCyZn8J5ZImoY8eOdbxOC4cZ+HSvc728//3vBwCJX549exYAEIvFAADLy8sd93PvvfcCaFtGtKC5LrnfNzpvtm25qD5vWi6sDcRFxPep7jP+4wavVCpy4wzCMZDGxcSF5/V6RbiQYUYhQ+umXC6j2Wwil8vBYrEgkUggGo0ilUohk8lIYpY6uZVK5YZoI9pDzWg0wuFwiBZOTQ9o+6GLxaIEsuk+czqdoq3fKEtMXQ+bBZOpVdLKoHIyMDAggsZgMGBwcBA2mw2lUknmSFspl+uK+RHVahVerxcWiwUDAwMSxyqVSsjlcuIe2+hw0K2W3Ye6/8l0DIfDMJlMqFarQuZhjhuwnjCo5rTwdbfbLflwKjGAoJuMwoNKGZlmXEP8SWUon8/L2aSuUb/fL5TprRTh1LGObSdRqgFptUaWxWIR1w4ZCeSL1+t1ORBrtRpef/11pNNprK2tSYCNPlK/349jx44hGAzi3nvvRTAYxPj4eEfwWv3ZarVEAAUCATSbTdx7770ol8t45JFHkM1msbi4iFwuh5mZGZRKJak2fObMGZHo+wEejkx+TKVSiMfjsNlsuO2222A0GlEoFKS2UjqdlsKfzz33HAYHBzExMQGLxYLx8XE4nU6Mjo6iVCoJu2S/ocauVCuml6uuVqshFouhWq1KIJWCPp1Ow2azYWxsDIODg7LxC4WCVNpWrSIGbScnJ9FsNnH8+HGYTCakUilUq1VMTk4ikUjgW9/6FpaXl8UKpGtVGxfRuk73EoyZMM+A65BsId7b5cuXAbQPWGqkv/ALvwCgrZlSs9WyfqgRP/bYYwDa7KNHH30UQFtz5f3s1jriGqClGQwG8Y53vAM+nw8DAwNoNBq4fPkybDYbHn74YbFeisUiEokEUqkUBgYGYDabkc1mYbPZcM8994g7lRU8CoWCKA2s5KF1K2vjA2pKBF2yFotF6vVVq1U4HA5MTU2h0WjImFAZ3g3QwqAF8cwzzwAAFhYWAADPPvssgHZMjTGa7373ux3PxPefPn0aAPCHf/iHHd9DS5fz+453vAMA8Lu/+7sA2rEVVgDg9bjemAtEVhnfT+9TN2zLcuGC4QQzRkCKLG+Q5qVaXJJVUhuNBorFIgqFggTpms2mTDipyXSJ+Xy+jhwaQj0ISCqgAOR9DQ8Pw+fzweVyIZvNolKpIJvNYnl5WTK6b4TGT4FLDj+f32w2o1qtwmQyyd+r1aqUR+GzMfmT40VL7kZCnY9uY6quh2QyCYPBIPThVqsFt9sNn8+HVqsl1QqcTqcIYlqz6vXV9Qes03e5jmq1Gmw2m2ixrdZ6AUH6z7VCZD8Fy48D6I2gOzwcDiMQCCAQCGBqakr2gBqDq9VqKJVKyGazKBQKEq8F1oUnLR96N9R4Gv/xPFHjO1o3LdBZkZvutnA4DKPRiHw+D5vNBp/PJwSAG0EAOqjYlnDhhn/LW94ivTXC4TAeeeQR2O12vPrqq8hkMojFYqjVaiItmYFNF9bg4KBoJHSfMRA7MDCAW265BZOTkzh8+LAcNAaDQTRMaia9BA7NY0rtyclJNBoNnDhxAolEAl/60pfQaDQwODi4r5YL75HuO2YoU+DStcjgIoWhy+XCHXfcgcHBQfj9frH+mCPjdrvFp30j3XxEr3ughfLqq6/CZDLh+eefh8ViQTAYxOjoKB5//HFEIhE5HMgqO3v2bIcrlAcHXWmHDx9Gq9USJcfj8aBarWJlZQWVSgWhUAilUgmLi4sd9eb2cqy08RttLIX5K48//jiAdk2oj370owCAH/7whwCAJ598EkDbomFs5Zd+6ZcAtPNftN+rBZWPkZGRjuszY5tsoU9/+tMAgCtXrvTxtJ0wGAxwOp2IRCIYGhrCu971Lng8Homvve1tb4Pdbsf9998vdcgKhQLOnj2LlZUVnD59GqlUSs6bO+64A3a7XZhdCwsLSCaTyOfzolGrz849phUuqueFY8J58Xg8eOtb3wqr1YrFxUUYjUbccsstojAzN2a3qclkebH/Cs82bVIwLQmtEvnGG28AaLPAmO/CdaQtrTQ5OQmgbTnxe3hdjidfZ/4UvVHqmd4L23KLkeE0NDQk8RGWTVddPmRrMQDPOAG1hGAwKAwpxl9onlLAMDFTLYfAwBzdGiqPnb5S9aBT8ynoPgPWE8/q9TqGhoaklP1+g0KwUCjIePE5qJXR4qMAYYyFm4IC92bi4m+m/TcaDdFK6etmXGVlZUUEi9VqlR4tQKfvnhY0Yy5ut1s+12w2JVcimUxKsFdbKqib5aJjd8C5GhgYwNDQEIaGhhAIBESRcLlc4o1ghn6r1UI8HkcsFkMymUShUIDP5xPiDoku5XJZyiWpvV5UodGtPp8a51TXj9VqlZhPMBjs6K0UDAYllSKbzaJYLO7vQB5Q9N3Phe6HwcFB3HnnnQgGgwiHwyiXy3jllVcktlEoFLC6uirl4a1WqwRoGRd56KGH0Gg0cPbsWWSzWVy7dg0GgwFTU1MYGhrCW97yFgnwGQwGYXrMzMwgl8thfn4eJpMJU1NTQntmHg0/A0AOZ0pbEgJ+7ud+DqlUCt/4xjdw7ty5XR7ajcFFbrVa0Wq1cP78eSSTSUksZeXjVCqFbDaLoaEhDA8PY2BgQDaoxWLB4cOHYbVa8eSTT2JpaamjbtN+QmUHbvb9KouQoJVZqVTw1a9+FV6vF4ODg3A6nRgbG5NKDlQ4HA5Hh8/cYrFgZGRE2DyZTAZf//rXEYvFMDc3h1wuh3g8Li4x1UWy2+PFA4v/B9oaJzVBuvB+9Vd/FUBbM/V4PACA9773vQDaMZXf+q3fAgCMjY11XEebf6B1GRLa33lf/DwtImZ8T0xMAAA+/vGPA2izi/qFw+HAvffei9HRUZw4cQKBQADj4+MiKNSeTVSoXn/9dVy5cgWxWAytVkvaTMRiMdTrdVy+fBnlclmqI/OzqluYSdyqgFFdYvxnNpsxMjKCgYEBvOUtb0EwGMThw4fh9Xrxzne+E8B6/CmdTuP+++/H0tISvv3tb29LwGxEBKCloq2GrFY1UMH6jPwcLR8+L2N0nHeefbRwn3vuuY7Pa2uYEVrrnnGnzRKlgR0mUZKhQ4ZTJpPB2toakskkisWi0D/VjcwyMYFAQFgYbrcbjUZD3B/hcBhDQ0MdeS00cZm3EovFhE5JoddsNuFyueBwODrcaMD1NYTMZrMkaVIzulFgtz2Hw4F8Po9Wq4VkMolUKiUmPwW0tuKv3W6XZLKDxr/XLkweErFYDPl8XmjFTDYdGhq6LidKzUvhYVWpVJDP57G0tIRoNIqrV6+iVCp11KbSLZS9B93foVAIQ0ND8Pv9HWxP7mkKfDWnJR6Pi8umWq3CaDQim82iWq0im82K9cKzhVYuBZR6kG801yorTD3LuLdMJpPERLn/dGwNfdcWI2+csZZ0Oi1+z6WlJcTj8Q4NWj3cmdNx8uRJeL1eNJtNFAoFyU8ZGhqCx+PBPffcI9V/VXdYsVgUi2V5eRlnzpxBPp/HqVOn0Gw2kc1mRYN1u9249dZb4fF4EAwGMTAwgHvuuUcWiEpNDAQC10nsvQYXP/uUsFbU5cuXYbVasbCwgFQqJTz36elpCWSqPVwYexkcHEQ8Hkcikdj1ulJbQTcNsR+oygPb2vL/p06dgslkwtjYGCYmJvDoo49ep6GrfvOVlRVcvHgR58+fx9LSEpLJZEd2Pg+PvRAwzBy/8847AQBvfetbAbTzUahhfvvb3wbQHrcPf/jDHT/JHuPz0TKnpcGfWs2TrC/GVAgeiowt/r//9/8AAA899BAA4PbbbwfQrlF2xx13AGhX26W10A8oXO68805MTU1hampKLG71PdeuXcPKygqeeeYZRKNRvPbaa8jlchKjZXV15r8wpUBNdGQnS6PRiEQiIYKp2xxr3aIUbiwXdO7cOWnYxyrudrsd+Xwe0Wh0TwtZ8pk4f1wv/E6uA84j48lra2sA2jGQixcvAgD++Z//GQDwG7/xGwDalgvDALREmK/SS3hqx1HbnqAb+j5R1XL2mUxGerao1FmyOLRfzhwW/mO5DloTNFMZtFO56I3GelvhTCYjMRpSibnQWCamXC7D7/fD6/WKX59MK6BtFnOh30iWFcezVCp1MF7YppdantvtlgrBql+Z2e5qRWqO+UFjPqn3zPumUmE0GqXOmjZDn++v1WooFotYXFzE6uoqUqkUisWirEc1oHuQxuWgghYmXZ7M3VIJN5VKBbFYDAsLC1haWsLS0hIKhUJHNj6Zk0A75qqloms9E1tldTHPRc2j0lby4P5S6/jp2BzbztDPZrP4zne+A5PJJOVXqHECEHMSaCdSkoLIJEs2vjp06BASiYQEcvk6a/pUq1UUi0WcOXMGqVRKYjo8WKmt01KKx+MolUoIBoNCQWYxTKCt6QwMDMDtdmNwcPCGucUoCDKZDLxeL0ZHR2G320UDJQPv2LFjGBsbk7FRXYWk7Xo8HrH2WCZlL/uCq1Ct1O1C9YNTyWCmNVlj7K1usViEyME1Mjs7i6tXr+Lf//3fcfXqVaysrKBarV5XW24vwUOTVWqZSf3ud78bQLu3OavV0kJhLIVj2K1LItBm91Dj/NCHPgQAuHDhAoC2r54BabJ7WLOKsR7mSfD6zOxWGZgA8Od//ucA1qvnsr/6VkGW10svvYREIiF93Ok1WF5eRjwex7e+9S0sLS3hhRdeEOVUGxNjuR51zXNc6DJmfgpd5KrLtBu499jRNZlMwmg04s4770Q4HIbf75cSM1arFdPT02g2mzh9+vR1HSG3AnWP9LonbaxFGxtjZ0nOE2vuXbt2DUDbMuH5kU6nAbTXC9cDv4frbn5+HsD1rDSVSNPtvnc95sINlMlkYDAYJEmSD0zTilo0feZut7uDLqtSj6vVKpLJpOScqNo7Yw9MluLnaP2wZAMHQdXeAUiHS967yipj7OVGCRdVW2KHSYfDAZ/PJwmndrtd2DVajUy1wmw2G6xWa0f14I02180G7X3y2XhQqHRt5sXwc41GA9FoFNeuXcO1a9cQj8dRqVQ6qijvVQBfR3dwndKdzbQElnyKxWIyV6urq8jn8x2uN+2BRsHS7XtUerrKJtxo/ateAt4jkxS7XZ9xYsZ2dGyMbVGRudnpp9MyDUgHZS2xsbExRCIR3HbbbRgbG5MgLQ/FiYkJhMNhhEIhqRPGonWZTAbf+c53pI+8zWbDkSNHhIWWy+XQaq23Ps3lcuKbJ5U5FArh7rvvRiAQkHtXNQiz2YypqSkRPvsJCmlqeH6/H1NTUyJEGo2G0CDZz0UrWGgBMrbk9/s7LBe+b7+sl924hlo4kMmWaj27S5cuCYWcAdx8Po/vfve7mJ2dFddKt1a4ew0eRF/+8pcBQCwYZjQz9vLFL34RQLunOTVTzi9jcPSdM/+BeS2/93u/B6DtO9cedlSWuCeZVU7Nlpn6zJdhp0JC6/r53Oc+J0yyrYK5K8D6mcBYCRVG9mc5c+aMCB8VWitO69ZUn9lkMiEQCEhlBoPBIGcDcH1yLNcZrftSqYSXXnoJo6Oj0jdqaGioI7B/6623wmg0IhQKiWXQLzZbhzyHtH17KPQ4RszoJ6mJLENayqzA8JWvfAUAMD4+DgD4xV/8RQDAT//0TwNo58doq2dz3tRurv0+z45qi2kvrMZN1HyVw4cPIxQKIRKJIBgMSuVT1bIwGAzSFIyLiBpOJpNBoVAQNhnZUSyQye6EdLdReDFrnf/v5Ye9kZoIx4BEA/p32bNGrdHWayLpClCFO18/aFAD+yx5w0OgXC6jVCqhXC6LAFLZYawjpzaS0nHjwHhGoVBANpuVXiyVSgXJZBKrq6tYXl4WRmQvS7uXgNC+h64kbV2+ze5RJY+k02kppKuN37jdbgQCAal9p2Nj9J3norqb1GQl5hs4HA5MTk4iHA7j5MmTGBgYwIkTJ+DxeCTPhVKZyZAs0aEGt9UkOLo9uDh5+AaDQama63a7MTY2BoNhvZyIwWCQPg10E/EAv1kWhmrOM/7DMRkYGECpVMILL7yAUqmEwcFBhMNhGSPVTUQ6t8PhwNramhAbDmrgkU2iLly40GEpZ7NZyXuiElKpVPDGG2/g0qVLmJmZwcrKyg1hyxEkIBB//dd/DaBtufz2b/82gHb+CC0Wglo6e6EzNvPmm28CAL7//e8DaPvStehlwTADn5/n/dCHr43taO9nOwoYY4n/+7//i3A4jGq1KsVFM5kMTp06JSQgdc66nS+9no/3WKlUhGlJavFmcTaVyg5A0gHoFQmFQtKwrtlsIhwOdzQv7AdGoxF2u71nfoz2WekeVMlQQNuS0LLDyBpjhQV6lTh/ZAcKNffsAAAgAElEQVT+2q/9GoC2Bc3PMfZCS5i1zHaioPVtudCfqSaKkU7rdrvh8XgwOTkpfTnC4TCGh4fhcDgktqEeetRWeD0KAtaSymQyqFQqEuSz2WwdJfxbrZZMNk1H9foqK0y7mIj9CnprwYWvVh3gs1PjW1lZkZgWi/GprBsKZwau+VO1DA+aBs8NwXVFmrHK3lFZR3SJUigdtOf9UQYD5sC6q4YVPThnJAN1m7NuMTi+rlo4VLJo0Tqdzo6Afjeof1OVPHZ7DYVCIqhUogn3lb7GNkdfwoUH+tjYGKxWqzT1ikajUq10ZGQETzzxhFQottlsEjegiclDkUlR1MaZWJVMJpFOp/Haa68hnU7j0qVLqFQqUkqdgbdQKASDwYCRkRFks1nkcrmOApmkOo+OjnaUp1H9tc1mUzJ99xNcnGT/zM7OCvOu2Wzi6aefRjQaxauvvopisQifz4fR0VHccsstCIfDCAaDohlGo1FcvnxZchEooPh8BwlkFgLtpEoqCCzPTxYP1w0p7vz9ZgBJLZznmZkZAG1f+OHDhwFc39GPmuhTTz3V8fptt90GAHjxxRe7fp/2EOUY0kvwrne9CwDwhS98AUCbPdbr89rrnDt3ru88Fx7YdIM9++yzkirAviu9aOXq4a3mMqnvI1i5o1gsdow7qcndmsLxulRq7XY7pqencfToUbz//e/HwMCAxFrU7zcYDEilUn2XWqInphdUQQm0Yyv8bsbM2POe5wYtU8ZI+B3a/c/Yjba6Mj9Pi4UW7m7so21ZLsPDw7DZbCgUCtLrncXoBgcHMTg4KDXBGEdQywVwMbA9MR+Qwb58Pi+5LOS8M1dB7SZHJprH4+nQkGipMOOWLBJtQI9WQzqdviGuFN4DaZaZTAbxeBxOpxNLS0uIxWKIRqOS5OVyuSRvg5/lmNFqUa99kKEedhQ4wWAQgUAAbrdbNgf/tpVyFDr2H7Qqms2mHJDMKelV561bzEUr/LS/cy93u24vkBBDVubU1BTGx8eluKbWraxbLP2h7wx9h8OB+++/Hx6PR+ieR44cgcPhwIMPPoixsTGxbAhOEq2KaDSKtbU1fPWrX5X+8Ay+05Jgv41msykdB0kZ5IFCIsCxY8cke5bBXZvNhhMnTsDv90twTu0Fw+SsXC6H73znOz192HsNNSH10qVL+Ld/+zeYTCbMzMwI/ZpCxOv1Ip/PiyuBY0ofMQta8v1qkPMggkLDaDTC5/Ph0UcfxeHDhzE9PS3dJoF2IilxMxwAvB/mt9CnTZ87+2VQIaKFwTwE9jr/yEc+AgCSI/LJT34SQDuPgc9KBY0aNTO8afGw1hTZQuwbwgz9XiQQ+u5/5Vd+Rfz8WwVp41pKsNrzXv3OzQ7vXm4y9Xe6SbkHugka3g+JPkNDQ5iensYnP/lJRCKRjrQF9bvpEWAyc7/YyBrgszzwwAMAgPPnzwNon52ch15kB7K9+B3a93HuGJO57777AABHjhwBcL2lvVk+jnrfvd7Td0CfSXw2mw0DAwPS49xutyMSiQgVVvWRq6yeUqkkmbjXrl2T+mOk0/LQr9frHf3l2bGO1hAZZ8wN4aFKyi4LbJJiqaUxUtO5GSoJc6OVy2VcvXoVFosFyWRSNDzVH6ztacOKwD6fD6FQSJKquBkOUp6LCnWRkyEYDocRiUSu84V3c6Mc1Of+UYM6B+rBp1op3eaw17XUWEm3g1a1lNRkS6CzqKfZbJZaZ8ePH8f4+DhGRkaEztzNTcj7Hx4e1muMbQF9CRebzYbBwUFcvXoV+Xwejz76qHQGtFqtOHTokJQrUXNKyuUyCoUCXn/9dczPz+PrX/86lpaWsLi4iFarhXA4DK/XKxrp2NgYnE4nAoGAsDMomLxeLw4dOoSBgQHpHOfxeNBsNjE+Pi7WkcHQ7qXOLFuVN8/7ajQaeOc73ym+6P2CVltjwt/58+flXo1GIzweD5xOJ44dO4ZDhw7h8OHDQodstVoYGBiAw+HAT/3UT+HatWtoNptYWlrC3NwcSqXSgbRc2NiLQsTj8WB4eBi33347hoeHxdpj2wFWQgYgn9tKO+O9gsFgkNgJM/JZdZgWyPve9z4AbUuD/VoYkyFoAbHW1x/8wR8AAH7wgx8AaPdj0fbdYA/0n//5nwfQrqr867/+6wDasR1qrozJsNouLSFe/9Of/jT+5m/+pu9xUHvSaxlh2jjDRqC3QmVB8roUTuVyGQaDQeZdK1zUewoEAvjABz6AqakpPPHEE9JCXRsbVr+f1Pj3vve9OHXqVF9jsRk4z1wnHCvms/QCx05reWp/0pP0pS99CUC75h2rbxN/9Ed/BKBtWfeCev1ds1xUi4TUY7plKPEZiKUWkUwmkc1mMTMzg6WlJczOziKZTCKXy8FoNIo7jDWD2Bfe4XCICc1qqMxYZ14HW9xSw1eDuoy1VKtV0Vb4s9lcL5pJhtF+B4K1MQX+ZPCacYWhoSF4vV5MTk5KS2PGsFqtlgQjBwYGUC6X4XA4rmscdVCgjgnHgYSQYDAodGttR0A16M8A8kGlYf8oYyuMsK18fqPYjPYfcD0zjDGWyclJ3HrrrRK812b1a0kD6XQa6XRat4i3iL6ECwPxIyMjGBoakiqi1LrZUTKRSEj74GKxiKeffhqrq6t48cUXkU6nsba2Jgc6hZXRuN42ORgM4q1vfauwzQyG9UoAlUoFCwsLaLVa4iZTDxXg+l4ILGR47tw5lEol+P1+IR7U63VcuHBB7ossif0AtWveIxerw+HAyZMnMTg4iOPHjyMYDOK2226D2+3GyMgIHA6HaFfcLAxIMludfU4YszooG4GKCzVTm80mFirrqo2MjMDj8XSUCALWs8uDwaBkVufz+Rvq7lQD0Mycvv/++wEAf/u3fwsA+Iu/+AsA7b4pwWAQAPD8888DaPvaP/GJTwBo+8ypadJnTkuEsRsqSd/85jcBQPoUMZiuVaJ+8zd/E0C7Y+Ef//EfA2jvIcYi2b2z33HQ1ghTf/YLNb+L1+F6UdeDlt2lpiFYLBaxgh977DEMDg52FIRV7091pWezWfzjP/4jlpaWUCwWJcaxW+B30tJlRj3zWzj22piK1n3HM5DucVpCzNzneiSrjDE+9q5h/yDmZ/XaR2rfnF7o23JhfIXWAjvIceKazfVOgsy1yGQyWFxcFOYTO06q/lO1m6DL5ZIaZCxYyH7ZxWJRzEU1UKdlClGrJ4sql8vJPVJDqVaruHz5MqLRKObn5zds17mb4DOTjcLgIfOExsfHEQwGMTQ0JH0wXC4XfD6fWGrd/MHMjaFQ0VI8b3ZQuNASdTqd4qrweDwdyZPa+ab1xrW51WCkjr1HNzbYbl1PC1WY8L3ca6wa4nQ6cfToUUxMTEhjPlWwqN+juvOYc3b58mVhr+rYGH0JF2bfBwIBOJ1O5HI5VKtVXLhwAZVKRRIcY7GYNP+pVCpYXFwUlpPaKZFaN+uAkWnm9XrFNUZWGCnIpVJJGgmpJftVc5YHLZtEkRZNi4luuaeeegrxeBz5fF7YGPsBi8Ui7q6pqSmpWuD1evHwww/D6XQik8lI/xs2TdNqVxzHWq2G06dPY3Z2Fi+99JKw+A7S4WowrFdUcLvduOuuu+SZWfBUreCgVUw4ToFAAPl8HvPz8+IKvRFjwHwtoM3iYd6KVvCxttPRo0cBtNlkVKL+8i//EkDbEvmnf/qnjvexmi2/R1ufi9WSe4Gxqn/9138F0K4EQIvpYx/7mNz3dpSVrQTqux3s/YDKKSnEg4ODMJvNknDM82RiYgIDAwN497vfjVAoJHlz3e65Xq8jnU5Ljs7i4iJmZmZw7do18aTsBtR8OxXRaBTA9VWJWUWbwk2bD8NYG2Mqn/rUpwC02Yik8NMi0Sro2o6WW73fbug7z4WsJiZAlstlqedENxl7rKRSKZTLZREs2jIO/Mf+Lbw+LY56vS5uM8ZvarUaMpkMrFbrddq5ukhZhoM9ryuVClZWVkSzZ/IhE6L26xBizIeFOoeHh0VTZzzJYDBIQqg2YKdq7fxXr9exsrKCaDQqVtpBslqA9rhYLBY4HA6JHVHrZJysmy+dQogNnvR4y8HEdoUMKzioFi/Lv7BVA2MskUgEw8PDHe5lVeAz2bFSqWB5eVnatS8sLCCTyXSUpNKxMfoSLoVCAa+88grK5bL0WymXy0gmkyIJ2QlSzTvggac9FOjyoha/uLiITCYjQdyRkREJytdqNVy+fBmpVAozMzNwu92Ynp4WlwjdJTx8TCYT1tbWMD8/j1deeQVra2uYnZ2V2mSMEe3nIcwD1Ov14sEHH8TQ0BAmJiaE3l0qlfDKK68gnU5jdnYWPp8PExMTCIVCUoyT/mG1uGc2m8XLL7+MN998UwT7QVz8LDJaKpVgtVoxOTkpBAaLxYJarSbdCelCMxqNEpC9++674fV6cerUKdHIbwTIVgTaFobWd01livPE2Ii2Zzp/stbYn/zJnwBoV89ln47txph4ffrgX3nlFQBtHzzRzRXbz/U3ghojUT+zlWeiG8zpdGJqagputxt+vx8Wi0XYouwm+TM/8zPS34nrRwXrGn7rW9/CpUuX8LWvfQ3xeFwKWSaTSSEYbQfctypULw4A+Hw+AO3+LGrKAdBm87EasvZ6ZBsyT4rrTHW/A+0Y3uzsLIB2rO/06dMd39uNNKFeZ9diLo1GQzR+o9EoSYuqpkxqMBv20H2l0hC1NDlaKkx+ikajsimZ21GtVrG6uir1iNjhjto9hRW1j1qtJn3ol5aWsLq6ilgsJr2wges38n6AAjUSiUiQmo3VDAYD0uk0EokE4vE4Wq0W8vm8jAGFJgBJMG00GkilUlIy56BWA6bAsNls8Hq98Pv9CIfD0v/H4/H0dAuq9FKfz9fBXDyIY/HjBC3jT01h2ApYFZ2N9sgyZYzFarUiEAhgcHAQXq+3g22ozbFhzbOZmRnMzc1hZmYGmUzmwO6pG42+hEuz2UQikZAmYWrxRFKBjUYj5ubmOlwZrB+m8tIpDBqNBubm5mC1WhEKheBwOFAoFCSWQp8psO5XbrVakv9AwcYMbfrlk8kkYrEYTp06hfn5eVy4cEGIBGriZC/GxV7D4/Hg4YcfRiQSgcvlQrPZxOrqKhqNBpaWlrCysoJyuYxisYjZ2VlpkAasaxbJZBKvvfYa6vU6gsEgCoUCLl26hFwutyPN6kaCAuTQoUN43/veh0gkgkgkIvXEKFRp/QHtoCvndnh4GLVaDeFw+LoyOfsNNR6mgmuNMb5uJUa6gdeZnJwE0Pa579azUTmkUkfWGLGX7DueG5xXNS672efYpXViYgIf/OAH4fV6pS3D4uIiLBYL7rrrLmnCxzMHQMeaqtVqePPNN3Hp0iU89dRT4gbbzefuVd9M/RvzlLRVkXkGklXI91FB5nVo8TAGRwv0wx/+MIA2a/Hzn/88gHZHUq4nbQfMXpaJmlezK3kuZGAxWKqW4aaLhtRhlW7LYHy3m1CrmZJCq5bzILNLzVdhklqpVBKGGjtK0rpKp9NIpVKIx+MSc+lVGmE/wcORGhZjRxTGjB+Uy2UJSnKzNJtNLCwsIJFIYHV1VajW2o6LBxV8/lAoBL/fL4F8uj21G53Py8RZjhNjNrT2dM3zYKBbfslm7zebzZK2wLYVZHMxHcLn83WUyVfdxvy+YrGIixcv4uLFi4hGo0in0wcubnmzoW/horq31EOdQkXtPqfWO1I3OQUELZ58Pg+DwYBMJgOTyYSlpSUp+cGmY06nE4ODgzAYDIjFYigUCjhz5gxcLhey2SyMRqPkDCwvLyMWi+G1116TuNBGC2W/g/mM+aiHHnvU3H///YjFYrhw4YIIIaPRiIWFBeRyObz66qsoFApi+c3MzEgMzOFwdHTfOyjgs7DIKQOzpF+r+UuqBcx/XENf//rXEY/HEQ6HYbfbpRZdPp+/aSoma+dmq/fE9/3Hf/wHgPbeOmhzrUKrHXcrD9MLjLUwgZguVK/XKykMzO1Q3V/VahULCwvI5/Py89q1a0gmk/j2t7+NZDKJRCKxb2tFG1tjPhItCSroLGPFvCOyvnjWEnw/LR/WlGN1BW0+lNbyYYxGa3Fvdv/d0DdbTMtbZ7yDv6sMJ/UAUD/b7YZ4rVarJQ+oLfdA7ZzF8EgVVDP9gfWy0alUSiiDN5NGzwWeyWSEOgm04wY+nw/VahU+n69DwJLBQo3M7Xaj2WzCarUKJXsrfcNvRnCOWXlB+7r2vQQtFlqx6XQa+XxeArzMj2KfoJtpHejohHZuNstnoTLCmoQej0f2APPBKIDpZmNeHuOac3NzyGazWFxcFLox4746do6+hQsDbtq4CQCJrai1f7SfBdqaBNk+2h4MR44ckQ5wVqsVbrdbYjMUFtVqFcvLy5Ib0Wq1JIs4Ho8LbVDtx36jQZrjysoKnnrqKUxPT+OJJ56QPB5gnY8eCoVw4sQJYUyZTCbJ7fH7/Wg0GpicnITRaMTg4CByuRzOnDmDZDLZUcvpoICChVRR0tfpZtUSQEjmSCaTKBQKuHz5spA16LtnNW2gLdBv5oNjMxouD0oKX2qu/Kn10d/M0CpAqvIIbC5Y6E4OBoMYHx/HbbfdhomJCQnkU8nltXgG1Ot15HI5vPzyy1haWsJLL72EVCol+Xgqo3W/oZ6hQNuy4O9kBTLznmxIrcVBthnzZHgdbV5OLxbYbvaB6lu4aEF3g7bqcDcqW68NpHYapKnLjGvGX1qtluSoAOubjeVmWNKAXSsZc1EP2Ztl05HJlsvlkMlkRLPmmJFpR6uGJXBonYyPj6PZbGJiYkK4/dTEbDYbYrFYh9voZgddhYy3UJAajUaMjo4CgFhkWlAbLRaLUr2Byo3JZBIau46bB92UBdVttdlnWcnC4XBIrhhd7EzqZhUO1j0sFAqo1WqS37a6uop4PC7sUyqhB2G/HCRsW7hwY3Py+BrQu6eA9rP061HjoGuLUjwYDMJoNCKdTkvchKUYstms9JYfGRlBq9XCmTNnsLa2hlKphGq1KhTpm23RqOW+s9msLGyLxYJbb721o/cMrTpW0/2Jn/gJAO3gJ4PY9913H+bm5pBMJrG8vLxtpst+u9SoiZLJk81m8ZWvfAVerxe//Mu/LGX2GY9RqarMZ6Dbi+uE1bLtdruMj0ro6Ofe9tv33gucS+Y3sPc5LRr+vFmrYKtUY20i8FbiYapgefDBB+Hz+RAOh2GxWDA/P48rV67gu9/9LkwmE0ZHRxEIBHDy5Em0Wi2cPn0aqVQKi4uLyOVyePPNN6UxH3u+3CznhPbs5LzzjGUeC+OQ7BPEMSXbrxe2us62io32yI4sl60KE+37CS6qRqPRkQRJRhoXHt0kXAjUzPP5PKxWq1CU19bWpKtkr0ZBNwPUtqysYkBOPgszUutWizkC12fok4IdiURQr9fh9XqRSCT2nV69U6hVqhcWFuD3+zE3N4dGoyFKhjbpDWi7vFhXjcw5NcfqoNVZ+3GAqsRstEe59qlwORwOuFwuuFwucQWtra2Jx4IJ15lMRgg+CwsLku+WzWYRi8UkMVJLENGxe+i7cKUqqXr57bYCCg7GSEgpZMA6l8tJ3sr58+c74icUPI1GA5VKBf/93/+NRqMh9FxqITfjgcIs4FdffRVXr17F/Pw83G43Dh8+jIGBAdx5553iU6Zpz+BkN4FB62ZyclIKX5KGvR3hut8bjMpDvV7H008/DWDdP2yxWJBIJHDkyBH8/u//PgYGBiTfhdZcNptFKpXC/Pw8VlZWkEwmUSwWJSl1fn5erNjtrIXtrp+9sP60BzFrQB0UqO5yNdl5M8HCPDfWDOP/qUwWCgW88MILKBQKEgtmYzn+/vzzzyORSEgDPlaxuBnd5r3ug14e5kdRsDKWwviiNjZHC4fv01q2WyFbdcNWaoztOOayE6hBJGqgrVZLFh/jJvl8viNpTA38NRoNoQ7S9XGzLJReYDCauT2sAN1qrTc84vM3Gg3psKlCPbxUHzZ/P2hxBm5y0iRpvUajUXg8HuRyOelvA6w/I8dwbW0NiUQC6XRaLJ9UKiV177aakKdj/6AeZJsJF4vFgoGBAbhcLgwODkochTW+8vk8MpmMtD9nDhwTkg0GA1ZXV5HNZqUVA5WNm1H5/FFC33kuvWjE24XqW2S+CgO7mUxGFpK6IJkEpQYGt6IJ3Syo1+tYXFyE1WqVBmilUgmhUAiHDx+G1+sVBhU5+2ROaXtXMHY1Pz+PhYUF0eYOysbhfBJqLSUmzs7MzKBUKuHIkSMwm80oFApIpVL48pe/jGg0ivPnzyOTySAWi6FeryMajQoB5Eash4OwBm8UtEyuXqDV4vf78fjjjyMQCIgreXZ2VtxcpVJJAvZc8xQ6//mf/ym/q+70g7I3VHBfkNDEPdNLkWQshrE59nVhFW5aQKwx1ottqCVm9ao51g07ynPZTajCge4vLkJtO1O17Pp+3NtuQz34GIArFotwOBxYWFiA1+uVcihsY0yBq+aBqAHRUqkkrQMOGvNFvddu5rl6gFAJSSQSiMVi4g6j+0ubZ6XjYMJgMAhrlK4engnFYhGFQgH5fF6sFNUSoQBTG3rpMZX9x7aEi7Z6qVaa9TuJWiGhUpv5u/bv3V7fLvabIcXFT02MjKlKpYK///u/R6vVkta+9957L4LBIKanp+H3+zE9Pd3RiZEbjsmEbCm9nbGhtngjuzjyPtRcCLq4SNw4d+4cotGotBngIaOumd2Yz4OWjHoQoNaG20gJstlsOHr0KBwOB773ve8BWM9Sb7VaHTlsJO9oFQrVXXyzzOFG62mze+Xr2qoGzNhnDOZDH/oQAAiN/4knngAATE1NAWj363nxxRcBAH/6p38KoB2L6VWVW3sfqtdoT9hiWux0M3azRPbCFXczgQciiRKxWEyYT7VaTczWfD4vgUwV6hjR9N8JHfVmZJmpz0YrjfRiWrm6ZnpwsJU1ZjAYpD4ci7qytmAvBqA+/zcXDP1MiMFgiAOY37vbuaE41Gq1wlt9sz4Wbehj0YY+Fm3oY9HGj+NY9CVcdOjQoUOHjq3gYHFWdejQoUPHgYAuXHTo0KFDx65DFy46dOjQoWPXoQsXHTp06NCx69CFiw4dOnTo2HXowkWHDh06dOw6dOGiQ4cOHTp2Hbpw0aFDhw4duw5duOjQoUOHjl1Hv83C9jSdn8Xm2BiLbW1Zd4tti/cKrVZry4W1tjoW2j7h7DDJbpM+n0+ekz1MqtXqDW9Xuxdj0Qt8fpPJ1NHX52aper2fY7HbxRZ3+3r7ORaEtljjZu9lMzm1xP5erJ29GIt+nvX/rst76fr7XoP1JLuNxZ41C2NfFgDSf4XoVlmT/zcajfB6vRgfH8fv/M7vwOPx4I033kAsFsN//dd/SZ/0g1C2xmQywefzST+WYDCIj33sY5iamsJDDz0Et9st1Uyz2SzW1tbw2c9+FpcvX8bLL7+MYrF4YHrUbBculwsPPfQQjEYjzp8/j2KxiGw2i0ajIYeE2kmyz1p48pP914H1IqBqde8b0eaWe4NN8IhgMAig3TOdSgbvVa0oDFx/CPEZuK44hnw/+3hwbG5EBeytHoA8F9jbh030WAFbPTPY/8jlcuHkyZMwm81YXFxEoVDA6uoq6vW6fL5cLneM234dyBsV9uW8cj7YGI99VrR9W3jP7EDJ62rXk/asZR+YnT7rVoqP7mknSq3wUBd0t9LYwPogsr3v0NAQPB4PlpeXUSqVpNT8QQCFaygUkp4UkUgEhw4dwuTkJMLhMKxWq5SsttvtcDgc8Hg80s/loDzrdsB+HS6XCx6PRw4I9e/ajptqT5+tgNfjmrLZbNcdqq1WC6VS6UdagB90dGtgxf1hsVgQDAZht9sxNDQEl8uFSCQin2MHylqtBovFItWVVctYn/u9wZ4JF3YY5AIwmUzSsrdYLHaUzFb7w5hMJoTDYQwODsoimpiYgMFggM1mu64T480Io9EIj8eDUCiExx57DMPDw7j99tvhdrsRCoXgdDplTLjIefgFg0FkMhnRZH5UYbfbcfvttyMUCsHv96PRaCAQCABYb5zGUvrAuvbNsvtsJrcZ1PVis9lgsVjg9/vlEAKAVCqFXC6Hubm5fdPg2fhK2+uc389e5y6XCwCQy+UAtDVbrcLBz1GD5e98Rh60/L7Tp08DaGvENwJbdeGobnJgfWyolHBeh4eH8fGPfxyHDx/GXXfdBQCYnZ1FOp1GPB5HJpPBmTNnUCwW4fF4UCqV8Oyzz6JUKnV0d9yP82Sjc0trgdIC6dVpkhZpKBQC0J5f7o1oNNpxXf6d62OnDfX2pBNlP1/Og1M1X1V008zVBVcoFGC1WlEqlcQU5t9uVqhWmslkEmskEonA4XB0CEf6g9We4BaLBTabDVarFRaL5UfOLcbWtR6PB9PT03C73fB6vajVavB4PKjX68hms6jVauJOVd1X/YLzwHFX16PWalY/A9zc6+yggcIegFgOWmibENIdRiWMc2i322GxWOBwOBAOh3HkyBFMTEwgHF6v+s7W4VRox8fHUS6XYTQakc/n4XA4OvoDqfeo3seP2t7bb+ypeszDs16vw2Qyib+XGqhWmvL/iUQCJpMJZ86cgc1mw8LCAtLpNHK53A3vkrgRVBJCoVCA2WzG/Pw8TCYTvF4vbDYbrly5Ii2MzWYz6vU6CoUCXn75ZSQSCRgMBni9XkQiEfx/9t48Nq7zOh9+ZubOvg9nuFMiKWqxbMWyZTtxLP8c14kR13EdJI5RNAkatEgd5J8UaIEWQYuiaNEiKAK0RYsESQrUbdqiSZPYcVUXre3EjuN9lSVLJMV9GXI4nH1fvz/U58w7VzM0l6Gs5JsDCCOSM3fufbdzznOec46maVhbW7siZvWLLD6fD5///OcxPDyMW2+9FWazGSsrK4jFYiiXy0gmk/D7/Ugmk1hYWJDYCwP9xNrfC9YgNm8ymaTJWi6XQyIgDwcAACAASURBVC6Xw9ramij3SqXStKaI3QPYF7iM1yP2TdE/C9tf82d6NO0CvvRE+HvuNbfbDQBYXV0FAIk70TLmHtTfT6fFarXi+uuvBwBcuHABxWKxyWigtw9cjjcZjUb4/X5omibnRalUgsViwdjYGJxOJ7xeL4aGhvCBD3wAfr9flNfhw4dRKpVgt9tRKpVw2223oVQq4Y033sDq6ipGRkawvr6OSCQie4t712w2w+12o16vIxaLtWxKthuhkdPuWvy9XsHpzzv+nZ7Lvffe2/R5xuqeeeYZAI11xPdzbfN9e43BbBlH2tUVtylqq0w1YKpCA63YHJVKBblcDslkEhaLBdlsVqCSa1m5AM3uKRVHJpO5os83J5UeSyKRQDKZlF7wDEL/Mgmt17GxMYyNjaG3txdA4xB3u92oVqviubWLOW1nI6ifNZvNoshVJQU0b+pfFgX+iyQcc7b6prdhNBrR29sLo9GIRCIhMCk9GU3T4Ha74fV6YbfbZb0QhgcgnrDNZkOhUECpVGoLNxkMBkELGPjfShl05b3lqimXWq0m8ITD4RALsf5/PbHZuhS4bFVlMhksLy9LfMLhcMh1rmXYQj3UyuUyZmZmYDAYMD8/D7/fD5fLBaPRiFQqBeAyps62vfl8HhcuXMDm5iY2NjY6ajmrwW3GL66mcNOHQiHce++9CIVCAn0FAgFYrVaMjo4iEong0qVLSKfTV1Cy9UbIe2H1FosFVqsVfX19MBgMCIfDqNVq0os9k8nIgaVen1Z/J9cX14U+zqha60DDwuT7M5lM073oe5zr94I6zwCwsrICAEgmkwAaHhCFxhDva7/WRbFYxPnz5wE0YDH14NY0DQcOHEAwGMTY2JjAyYVCAa+99hqi0SjC4TCq1SqWlpYQDAZx6tQpjI+PC2GG804yzfDwMEqlEpaXlxEOh/HMM89gfn5e0ADGsXg2BYNB2ZtEWwwGQ0diMoxB60WFaFuJ/u92ux0AcN1118m4AsANN9wAAAINsj360NAQAODtt98GADHoJicnATTWh0pwUV+381zt5KpFjckGoqKwWCwIhUJi0ReLReRyuSsOD7rLXDCapl1Bt7uWRI0zkfbIXu/ValUWmApfFAoFVKtVVCoVJJNJxONxOVg7ccBRoaswJGnOV1vIBCRUVa/XYbPZxJuoVCooFosSYyM2vptxUKEvg8EgB7MKDTG/SH3/tWi0/KIL98JWf+d864VrgO/j+tA0rcljoegpyvl8HvF4HOFwGBsbGygWiy3hLs49ERWuu65Xuzu5KsqFrqzL5YLdbseRI0fg9/tx8uRJ1Ot1vPHGG9jc3MTFixdRLBZRr9eFihwKhXD8+HGkUimcPXsWBoMBsVjsCgtuK9kOK6UTi4eQixpEpoIMBoOw2+146qmnkM1m4XK5YDabEQwGBT7LZrMIh8OIRqNNUNpexGAwwOFw4Pbbb4fD4UAul0M6ncY777yz70mprUSFBmks1Go1lEolXLhwAYuLi1hYWEAul0O5XJbk2a3mRz+/PCSKxSJKpRIuXbokc+zxeHDzzTdD0zRcvHgRyWQSq6ur+04Y0V9TZcIBDTYYPQ56LPr3t7uufgzoqVBo4fL7mE/zqU99CgDEk/73f/93AFc//6VUKmF6ehqzs7N46623YDabMTAwgHq9jsXFRTEo+XzZbFagslbEDO7FTCaDixcvYnp6GgsLC9jc3BQPla/8t76+DqvVisHBQRgMBklo3mli426E908DUD+vjJUcOHAAAPDQQw8BaKyX++67r+lzi4uLABqxuFgsBuAyQxJorAd6zlxvNLT0HlO7ZzeZTG3Xyr7nuTBQZrFYJAgXCoUQCAQwMDAgmKjdbheGR61Wg8vlgsPhgNPphN/vl4M4nU4jmUw2WRXAtQORqffBHBZa5KVSSeJHTqeziR2Tz+flX6ey88mscbvdGB0dhdPpRDKZRDqdxtzcnHzv1Ro7vWdA9o/FYoHFYhFrkV6cyqjj8+zm+0hh5doidGIymWQzq5/pytUXMia5Z2icAZe9ezWpFrisjF0uF1wu1xUsQHqrsVgMsVgMy8vL2NjYQKFQaIKm9DBruVwWg5DrEoAYvPxbd41sT3asXLay8lslRJrNZng8Hrjdbtx4443o6enBBz/4Qfj9fgQCgSba6eHDhwFctmJcLheCwSD8fj98Ph+cTiduuukm9PX1ieeiTnQr7FJ/n+p71M92YrHok/543Wq1ilQqhTfffFOsBJ/Phw996EOwWq3I5/OIxWJYWFhAOByWhC+LxSJw4W7vz2q1YmJiAseOHcMXv/hFuN1uzM7OYmVlBeVyGYuLi7hw4cJVzXngmNRqNdm8TI4dGxtDvV6Xe+IcqUpYPUC2M+fqe2llTU1NQdM0RCIRgSxpBFytg4PP9Bu/8RsAgIsXLwIAbrzxRgDAt7/9bQANj0L/Ob3oYye09Bk/OnXqFADgjjvuAAAcO3as6eef/OQnAID/+q//AgAkEoldPtnuhLCZOpdra2sAGjERq9Uqhurg4CDuuOMODA8PN5E/qFiSyST+6q/+CjMzM5ifnxdkgNfje1UhdLq8vAyr1Yrh4WEAwPz8fJPi0cP32xWWsWoles+FzDd6BYylcB7p6R49ehRAw6Ph+vjsZz8LADh37hwAwOv1AgB++tOfNl2fz8GziQqc64briJ6O/v638nA74rmoA6Nn6VitVgSDQXi9Xrjdbrjdbvj9fng8nqbDgYuHgV+bzQabzQaHwyEBO4/Hg1QqBU3TtnTH9MIBV1289zqQ9iqkNVqtVplIo9EIr9cLp9MJj8cjm4J5PNls9gqPbKfWOoVjGgwG0dPTg2AwCJfLhUKhIK5/vV7H1NRUx555K+EYM0OaAVP1sGS9NT3hoNX8MIeI64AeSiuygt6oSKVSMJlMApt18xmuDdEbi0zCpofL3JZDhw5hdHRU1rRq1NZqNWSzWWxubmJmZkagz3K53BTDbDffKrStriOiAFSC1zpr9VqQHSuXVtpejalQO7OWU09PD37lV35FgvIOh0PeF4vFEI/HJcDKTU46YjAYxMDAAHp6elCpVODz+ZBIJCSJihx1vbegT5JjpjZhEeLr/FynDhd+t6Zp8Pv9cDqdmJiYwODgIE6ePAmfzweTySTeHMeINFnVi1PH2mg07ngxcz5OnDiBo0ePSmUAj8cj+R/nz5/Hq6++Khbdfku1WkU2m8Xy8jLq9Tq8Xq/MSSaTQalUkvcQCmk1nxy306dPw263I5FIIJvNYnZ2FoVCAel0usnCYmCXlmkkEgHQqFl2NRUMn4UZ9I888kjT32kpnj17FgDw9NNPA8AV8B1/JnuIe4ixFnqFg4ODABoxlg9+8IMAGhUAaLEyX4IZ/fSYOhFn2G3MgnPtcDgkG//IkSP4wz/8Q/T19SEQCIihCTTg5X/7t3/D5OQk3nzzTclVeS+yBuFXrrFisYj5+XkAl+fEarVifHwctVoN58+fF8t+J6KuZb3QE+F88pXPRpYXq1iQDTY2Ngag4UFw/fDvS0tLABpjz+uQuccKEPSMfD5f08+8r2effRYAdsSk7GjMhYuBFijrZNH7IPzABMN0Oo1sNisbm4uArKpSqSSUQVr9VEx8wO0eCLTkaemqMEgncFT9wlHjBQaDAXa7vansi0qD5LOqh5ze2t6JcIOYTCZR5nx2MmEcDgfcbndLOG8/pVqtYn19XdaDyWRCpVJBOp1GLBYTGqh62OvHw2KxwOFwYGBgAE6nE6FQCNlsFuvr6wJb6OFZKhegsQFpyXY9l/2V3axl1bCi0DALBALweDySk8Lr0iuenZ3F/Py8QMw7/U4AYnTw/6084q5sLXtWLmrANZ/Pw2q1YmhoCG63G729vbBarU3Z9QaDAZFIRIoJFotFbGxsIJvNClwSi8UkmJ9IJHDq1Ck4HA5cf/31EvTfiqbbipnDQ4n5NfRgmLDZCeH38hnS6bRUY2WZE96Lpmkol8uYmprCpUuXsLq6Ku57vV5vwlx5uO7kAKRyoVLj50n3TKfTSCQSV/VQrdfrSKfTePbZZ+H1eiWuRM/jpZdekkKD+vtSvcK+vj6Mjo7i7rvvxvDwMIaHh4WoMDU1JR4KFSmVlVqbTE8auFrCg/b48eMAGrWhKCRzLCwsALgyU5sW7cjICADA4/EAaFi0zFtgzIQYOi3Pl19+GQDwmc98BkADq2cexJEjRwAA4XAYQMMT2u0Y0bAC0JaduNU+rlQqAkPxHMlkMnA6ncKgAi7v8VQqhdXVVfzsZz/D5OTkjmMjXAutCALFYhGTk5Py/72KPlbM/X7zzTcDADY2NgA0PBDGRd955x0ADc+T+SonTpwA0IhTfe973wPQiK198pOfBAC88MILABqZ+4z10VOlx0JPl3ky/P7XXnsNQMPj2Uo65rlwIRAzVy33fD7fVKRRZeyUSiXkcjnJVC+XyxJ74O/5XpVRthMhTKcuNJbD5yHTyaB2vV4XGi1LyJMhxrhUuVxGPp9HOBxGJBKRjafSlzleWwUC1WdSNwW9R6fTKUmDqgUWj8eRSCSuqjVGBUdDg2O/ubkpnst7tRkwGo3w+XwIhUIYGBgQ0oemafB6vQgEAsjn84Kxq2uNymQ7MElXOietxng7MU+uZT3jUk24plSrVUSjUWGGMUF2r/fNtQM0Clx2s/a3Jx1RLtyk1WoV+Xweq6urMJvN2NjYgM1mw9DQEGw2mwS3aWWtrq4il8thc3MTuVxOcjuoXHgwMPCrlk4nVLbVQaTGVJicx8+43W585CMfAQA899xzwgvvlPC+YrEYpqen8fjjj+PgwYM4efIkzGYzUqkU4vE4nn32WYTDYSlxQcyT8QeLxdLkpTFGoXL1+Xta9pqmoaenB6Ojo7jhhhswNDTUVAQym83iueeew9TUFLLZ7FWLNXCTFotFlMtlvP76601lfdRYWCtPjVbwzTffjEOHDuHQoUNwu90wm82wWCw4fvw4PB4PfD4f4vE4ZmZmmqAvBvz3W7G0wtVpmRIOpTFDS5Of+eY3vwmgYbESmtFfk9g3LUy+zszMAACCwWDT+2ht81Am5n7mzBkAV+ZHsMoyPZfdQqeEKfl/1QDaDvOUUC5RDuY/6Q2EXC6Hv/3bv8W7774r/Vt2I/xOoGGUstaYPpa3U1EhPs6DniU2NzcHoJFvwnlkjI7zwXgQ5/0f//EfATSqIdPz+dKXvgQAwnz79Kc/3fR9nBuuw+XlZQCN9crfT0xMAGiwzsguZL5RK+lozEXdxCxGR4VjMpngdDphtVrh9Xrl4OUgMs6illp3OByw2+1NC3E3k6sqPx7AtOwBNPX56KTwOwn9Wa1WZDIZqfScyWTEyrbZbNA0DYFAALVaDdFoVIL76vNz8es9FrXmEuM6RqNRrlEoFCTIm8lkEI1Gsb6+vu+eC++N0CDZPZVKBZlMRmJuHK+tDhvG89TrAJcP6mw221QJQf2neitdq/Pqi55ws52aedynqlHp9/sRDAab6n/xvInH45ifn8fMzExHK3jo12TX092+7ItyyeVyknldLpeRy+XgcDhw4MAB9PT04NZbb4XRaERfXx/W19exubkp7i6VDWMsx44dE2s9n89LLa7t4uV6OMhsNuPIkSNwOBxYXl5uSYnthKjKqlqtiiVx7tw5eDweiUcFg0HpMaJpGgYGBlAsFvHzn/8c0Wj0CtaU2ueFz2Y0GuF0OoX6TKUejUbx3HPPYWBgAP/v//0/aJqGlZUVzM/P4/XXX0c4HN6XUjqqZWo0Xu4s6nK5cMstt8BqtaJarUqwtZXVo2Ld/JnsN9LZzWYzIpEIotEoJicnsbKygieffBJra2tIJpNNWL0K0V4tL031KIEGS4cxkoMHDwJoeBbf+c53AABPPfUUgCvzW3jffD8Zb/wexlro8fD3+rwXWqSMqRA7J2uM+48Wqt6D2quo1OJ2cVMaSmSY1mo1BAIBPPTQQxgfH0coFGqK4/z4xz/GhQsX8MYbbyAaje4pCVk1QPjKuegE6Uefga/vw8N51Vcx5r3wZ+a3kN1Hz4IeMWNqXGec983NTQCNTH16unxGZvLTA6Ln9OEPfxgA8Hu/93tN1ztz5kzbmPW+ZOgThmLiET0Zl8uFQCAglNzh4WGYTCb09fXBZDIhnU5L3IXwmdPpFKtdbYFL2Y67rsZ6gOayI2RO7TSOs11RD0pmIZvNZqTT6ab6Xirkp8JCKqON11GfmwyaYDAIp9OJQCAgfWC4cEulkiyeqakprK6uylh36rBtNw+MhQSDQQwODsJqtUpJdSpK9ZlUZpHVapX8Jxag7Ovrkxwher6zs7NYX1/HxsZG07iqBkg3vnJtSbv5YD4JDSVN0wRaHx0dxejoqHj5AMRzIduyE9Ut9GzUrre7O+m458JXsipqtRo2NzfhdrsxPj6OAwcOYGhoCJqmIRQK4dixYxgaGsLa2hpefPFFxONxTE5Oor+/H8PDw8KmKRaLOHv2LC5duoRqtSpsq+1aoyQclEolJJNJGAwG6ZkyODgoGnwnoh6oelhNb3UHAgH4/X6YTCZks1lcvHhR+ntns1nEYjFYLBYUCgVUKhUsLi4ilUpJoF8dWzUO5XA40NPTg4cffhiDg4M4deqUJBeWy2UsLCwglUrhlVdeQTQaxZkzZ7C5udnE/++EkMGnPjvv784778TAwADuuusuOBwOFItFLC4u4pVXXkGpVBIlR+VisVhgs9kwMTGBQCCAo0ePIhAI4NZbbxVjI5lM4kc/+hE2NzexsLCAbDaLZDIpHrB+zLaao06LGl/id9C6+/jHPw4AuP/++wE02GFkdxHzbofJ6zsJ0gLlddr1XOd96Hu0syIA2Wm8T3owZCV1qqcQ96H6bOp1rVYrDh8+LGvY4/Hgtttuw/DwMD72sY/B7XbLGiAS8ZGPfATj4+P4/ve/L5b3boUeEwAhBXQSOtZfi0qS48x1wPljHgvzlcjm+9Vf/VUADfYgPQxm8FPo6b777rsAGh4o2YOMqehrivFnxnjefPNNAA2P5Y/+6I/kfl988cWWz9pxz0VvdRMao/ei/p6bkIcJ+27QUrVYLE10UtJN9ZbETvnzLG+vzynptKjQEAOTHA9SKpkwmEwmpYcFIR0170UlJxiNRrHqfD4fhoaGMDY2htHRUQwODkqdrkKhgOXlZZRKJakIu7a2doX3t19CRTEwMICRkRH09fXBYrEgmUxK7s1WnxsdHUVPTw+OHDmCUCiE0dFRaJomJIB0Oo2NjQ1sbm6Kx9vKIm51iHXl/ZN2yh64fKiy9TXz5I4cOSLpDez1orJOSeLoBPrAAD4TKa/lCuzXunQ8iVIVxjkKhQLi8TguXLgg9Fez2YxisYhCoYCLFy9ic3MT09PTyGQyUv6FgWketoQ+eLio30kFs1VAmOVW1tfX5TC3Wq27piJvdVipSXuUWq2GdDqNYrGITCYjVOtMJoNIJCJMuXq9Ltn6rZ7JYrFIW9cTJ05gZGQE9913n3S3rNVqiMfjyGazOH/+PJaWlvDkk09KnsB+uPmtSq4wCHvfffdheHhYKkBvbGwgHo+LQuA4UXECl/M2PvOZz0hjMRXKTKfTQrO2Wq0olUpyEJC0ob8PFePf79iLem2SKE6fPg0A+PKXvwygYYEyE58sIb23pXqBqnD9t5tL/e95HX6OMcAf/ehHABrYPceO80kP64c//GHHa9C1mgOr1YrrrrsOo6OjePDBB8VTMZlMkqemJ7d4PB6pOr6bahaqOBwO3HHHHTAYDHjmmWfEENvrerHZbBgbGxOEhIgMPRfmPdGDZIzunnvuAdDwbDgH7CzK+3riiScANCo1zM7OAmjkrTCWx++jJ9LOm+c60VfT5rpiP5mvfOUrbVGffauKrOLnvNlUKgWLxYKlpSVhTOVyOcHKmeDI2lt8GHZ1VIPaamBMn0Grt4xUxhLdaebXkKK8X7iqPiGLC5WUYd432XIsfa33WHgtJkZef/316OnpweHDhzEyMgK32y3xGiaURaNRbGxsSJmd/WwTvdXmI1TFeSgWi01EBVWIuXu9XgwODiIYDMLhcDRh7FarFTabDYFAAJlMpsliZY6Puh64Xux2u1SI6DTc0ZXOCPPPQqGQlCyicaCPhbDpGL30vc6nekbo921Xdi4dLVyp/sxNzthApVKRLnDvvPOOsMpoaTocDhw5cgRutxv9/f1wu93SU51MsUAggGKxiL6+Ptjt9ibaKWESHhoqK4XURXoupEMyyJ1Kpfbs/uoPSbrshK/0vP2DBw9KgT31Gqp1qM8FYOzm+uuvx5/+6Z8iFAoJXVMtqhePx/Hoo49ieXkZly5dQjwevyJ2s9/Cwz0SieCb3/wmRkdH8cgjj0DTNCwtLSESiVzB+ONznDhxAseOHcPIyIgkSOoLXPp8Pjz44INYWFjAwsICFhcX5XAhkYE101il4OjRo6hWq3jrrbeuoEF3+tl5v8So2T9e/31qWXf9NVThs/H9+vpzqiG11XX4/WSB0QImO4jxhpMnTwJoeFh+v1+YTJ2SVmvRYrHg0KFDOHz4sOwdGg/cCzQOL168iHQ6jbW1NSwtLSEej+96PhkfNBqN4k12st9RuVxGOBzGJz7xCQCNGBo9Wa4TVqVmjIX5KfQ0X3rpJQCNigpcN2T30QOenp4G0MjQ5/sYU6NHxL//4Ac/ANDIn2G+HT0hVqxnxj7X2cjIiKxJvewLLMZDnYpF7WFeKpWE5UMacCAQgMVigc/ng9frRW9vrxyWZJ3VajXp+0KvBmiwRQghMb5DJpV6HxQuUL6vk6ypVsJ7ZL4PC1eyyqvFYoHdbpccFd6TWmOLxTwHBwcxMjKCYDDYNA5U4MlkEuvr61hcXMTc3BwikYhc62rHHEjqmJmZgclkwsbGBiwWCzY2NiRpVJ0fm80Gj8eD4eFh9Pb2ilHAa/FVzXsoFAoIBAJIp9NCw/b5fKjValhbWxPyB2EV1fDoyrUn6tpv5znQO8/lckgkElhaWhJafSfowqRnvx975pdJ9qxcVIuJFiYPdWZOkz4aDAZRq9Uk0am/vx+BQACnTp1qUipkVTFox1bBPT09qNfrGBsbQ6VSQSgUgtFoRCaTQbFYRCQSQTqdxtLSkmTxqtY6YRg2yGLtISqvTgq/k1DXW2+9hWAwiImJCenCyYOXyobMtWq1infeeQeJREIsyt7eXgwNDeGhhx6SPB0Vf+bz/N3f/R0uXbqEn/70p8hkMk0lT7Y7n51kBeXzeczPzyORSOC73/0ujEYjXn75ZSn1YjQa4ff74XK5cNNNN6G3txf33XefYMUsXGowNNoR02AJBAIwGAw4ceIEhoeHJQYTCoVQKBTwyiuvIBKJYH5+Hul0GtPT01JXbS99ct5LVNo7LT1agLREabn+z//8D4BGvkE7T0SNS6k/Ey6k5UsLldfRd3Ck8AD9+c9/3nRfZJF99atfBdDI2B8aGhJm2n5KJpPBs88+i7W1NZw8eVKMTJUkRLSCa2J2dhbhcHhPNb9oCBENAdBRb5+e0RtvvAGgwdKjZ8h5ZSyGHiXHn/dEr4r5KzSS2DqDtcIYI2HNMT4D2WT0WBjb4f2wE+mhQ4cANPJf7rzzzqb38zn+/u//Xs4ovexJuehjGmz6pFqiNpsNoVBI2vpWKhXZEA6HAw6HQ+pDud1uCdwS/1TzIcg22tzcRLlcRk9Pj0Bq9D7YbZEsLABN8IuqcOjt7CePnd+ZTCalBA572tTrdRw4cABer1e8msHBQamvtrm5KYtifHwcAwMDmJiYwMDAwBWEAXpii4uLuHjxYkegvr0Kx5Zl8JeWlmA0GhGJRJogK7LBJiYmEAqF0NvbC7fbLc9ExmAqlUKtVpONw2rSPLiJ0ff39yOdTstaYsxOhU2vJkTYle1LtVrF2toaQqFQ0/y0Y3WyGV8sFtvTPuZaVROV1TIw3bWyc9mVclGVCpWJakkWi0Vomobx8XEEAgHccMMN0DQN0WgUtVoNhw4dgsFgEKVy7NgxKefBQJ3BYJD2xiyzPzExgUqlgptuuknou2QKFYtFLC0tSQ5LNBrFuXPnkM/nxV1ulxy1XwuH31Eul7G5uQmPx4M77rgDBw8exPj4OEwmE44dOybKpF6/XA25XC7jwoULiMVimJubk2cnO0yfRMYNtrq6irNnz2JqaqqpnetO77mTUqs1+qW88sorACBVj+12OyYmJvCXf/mXGBgYEAooKzDE43EhXKRSKTz22GMCf9ntdoyMjMBqtcLpdKKnpwdHjx6Fw+GQ2mKPP/44Njc3kUwmUSwWpQp0J/N72j0z1xpfmU/A/hqMeTz//PMAGpg5MXF95z89i4e/p0XLVypefb5Cq3sEGp4NLVyylsbHxwE0Mr+z2Sz++I//ePuDsEsplUqYnp6G2+2WdaN66EAj8A5cZk9duHABKysrezamqtWq5NmYzWYsLCwgl8shHo/vmSygevJAwzOgkUXP9fHHHwfQ8GDoKTB/h5/jemEVZcZqWLfxox/9KADgtttua/qZ5wZf6aly3f32b/82AOCtt94C0Ij1sBozY8Qc/8cff/yKahKUXSkXTjYhMMYNGAwk7benp0d6sKjsC3aWpGdDT4ULiBg5c11IQWRMguXa0+m0TJoeH2UuzVasoKsZ3FY5+fTi+Dxc1FSA9MrI6TeZTDhw4AA8Ho9QtPncjDetrq5icXFRFO61JDzQuYAZa3O5XFLdOBQKSX4OywBFIhFkMhkkk0lsbm5iamoK8XgcNptNFBGvwf5BTqdTEjWp2NQ6Y7yfrlybosZDSVXnulDRB+75UqmEbDbbVO1iL2IymTAyMgKz2Yx8Po94PC7JlN11szPZsXJhAyomO5IWa7fbpexINBqFzWbDDTfcILEBtUy21+uF2WwWKIyxAR6cXq9Xyr9Q0VAx1Wo1OJ1OVKtVTE5OYn19XfBWlu0/d+6cwGJqZvF2CiTuh7D2F59LQbiWgQAAIABJREFUhf34d94fD0O73S7d7zRNkxI1tEwLhQJyuRx+9rOfYXZ2Fk888QRWVlbEQr7WhB4uPVur1YpbbrkFhw8fRiAQkBwFkhhisRi+8Y1vYGZmRjyPZDIpBVHtdjsKhQKCwWCTMcNcH9KfVcbP1ZpzlRqtr0vF2AgzplkTjHuDEB89DypkfWY+RY0nqq/6mlTthH9nzIU1qfSVA/76r/+6Lba+G1EhLnVeWODUbDZjbm4OhUIBAwMDTcnUNDpWVlYkjYFx1L2Kz+fDAw88AK/Xi5dffhnhcBhnzpxBIpHYU5UCTdPQ29srsRR6Kv/5n/8JAPiXf/mXpt8z5siYzOjoKIBGTTF6EJwfejiMpfzBH/yBPA9w5TrhuiI7lWv229/+dtP16THpq2yzNt1WpIcdKReD4XLJc1YmVSEJ0j3J7lJL42cyGTkMiZmrDC4G0bjQWbGYtN128YVIJIJIJIL19XXkcjkpJcLva9Vo62orFmK4wWAQgUBAxkQVNVCpli/hoUmFQuu/VrvcYCuZTEqS5OTkpMBI15qoLEJV0Q4NDUl9OVXBJpNJrK2tYWZmBouLi1LWWz0o6/W6xLEY76M3yO/h2HWZYb9YQiNyfX1dkmXZ1rxcLiMWiyGTyQjrsFOlaVQokflUNHq6snPZkXJhz4w777xT6vuQBeF0OnHixAmUSiU89thjcthnMhm8/vrrSCQSKBQKMJlM6O3thdfrFXiMri8PD7ZFpqULNLOvpqenMTs7i+eeew5LS0tYX19vCs6rCZcszQ10ph/4dkWNS7ndbnzsYx+TYDytU1oRlUoFKysrQsFkd0y2KQAg7vnrr7+OSCSC559/HrFYDLFYDMViUYLV291karAS2F+rnpAm2xMfPXoUw8PD+PznPy+UY85ZOp3GP/zDP+DSpUvSqraVwmRMxu12Y2RkBBMTE0LnrtVqUhi1UCggEok0MQK3+6y7Zc6pFFq+0jPgz08//TSARmyFsRGyuAhtbhfr17PMtsucYm2qD33oQwAaljEt2j/7sz8DcLmadyc6MKr32y5BsVqtYnNzE88995wk0wKXGVT1el0IMK+99po02utEsqPJZEIqlcKjjz4Kv9+PwcFB5PN5YZHtZY9UKhVpowE0OjqyLhfnmx4Fk6mZr8JzgDklHBP2c2GFhfvuuw9AI1+J64dMP+bBcH7JPvvud7/b9Hd62FwfnHt6r/RsGHpoJTv2XBhgJ/7PSWXHQx5aPCDZy4RlFDRNg8fjgd1ub8LB1X4kagxG3eBUHEyaWltbk0NXLa3Oz+mT796vWARdfY/HI5gx3UsSGFZXV6VNNA9ZlSm3srIijcc2NjZw4cIFaaO800WvMvqokPaL06/Ohd/vl6oCw8PDCIVC0oiJxAfCHbOzs03Nw/TX5CshQ+a4AI1cmEAggFAo1BQs305mfjcre/+FaxC4ko3FMkisg8eUAUK+rL/HunKdMBp5thkMBoTDYWSzWbhcrqb6fl3ZmexIubAlLXtYHz58GCaTCUtLSzAYDMhkMkin01hdXcXa2hpWV1dRLBYlJsIgPvNfGJgjxMbeJvrkOSqhQqGAjY0N/PCHP8TU1BTm5+ev6NlBUbPjideqzaOulqjFO1OpFBYWFmAwGOTe2aOGTKpTp04J3Tqfz2NjYwOFQgHRaBSZTAaLi4tSNmc3i56bmkmcNpsN1WoVq6ur+wKpcdP6/X7cf//9GB8fxwMPPCBl8wFIvGxhYQFzc3M4e/YslpaW2pbl4TUHBgbQ398vxopaYsdgMOCuu+7CkSNHYDKZEIlE8PLLL7cN/qoKq13W/HZF7Sh69913AwAefPDBpu/RJ4fSUm0XW9mpvJeXxvughfqR/+vKSgOMFrYa4+uUEO6m1c2EWkLjbMG9urraNB/lclk+ZzKZpLirCqnv5Z5Y8YKw80svvSQMr3Yxou0K82jUrpxAI7alN3wZS+Hv9R1Gmf/CGBnniR4Ox4MxHbK/mFdFRc33qR1HgQaLjR4S30+jmOt3K1bqjpQLs2fT6TTsdjtSqRQ0TZMbczgcSCaTSCaTEvdgQUEOImtoqYuC2foqBKZSRrmIEokEwuEwwuEw1tbWmiot6xULrVpa6FerjpQ+q5jPkc1mkUgksLy8jGq1iqmpKVEu2WwWc3Nz0DQNhw4dgtVqRTQaRS6Xw+zsrJSTZ8e9vXgZKkRltVoRCARQKpX2hQhARRYMBjE8PIxDhw5J+Xy1DhqJDCsrK1hcXJSk2HbKk3CnzWYTqI2bS81lcjgcCAQC6O/vh9FoxOjoKGKxGBYWFppwen2+lgqldqWzwjFmRQ4AgjwQpdAfuOp+4n4muaVer0u18b0YR2oyMhWdvjNuV3YmO1YuqVQKL7zwAlwuF6ampmA0GhGNRlGtVuF0OlEulzEzM9NUMp6TTtx7dna2CdNcWlpCNpuF1+uF0+lsysjOZrN44YUXEIlEMDU1hUQigfPnz0sRRlWxqErFbDY39QHngtmvQ4PfzZbJzAAn1fitt96Cw+GQ8jT06tRD1Ol0IhqNwmg04u2330YikZAunbz/vSoWtjMIhULw+/04fPiwJF92GjY0mUzo6enB5z73ORw5cgQPPPAAHA5HU403AJI1/9hjj2Fqakp6zbQSHk6apsFut8PpdCIUCsHn80nAlwmk1WoVNpsNt99+O8rlMj760Y8iHA7j61//OsLhcNNY0kJuV3Jku0KlR8uOPcz1WDrrdBHD1vfC2a2088j01yWb7Pd///flvoGGh8KqumS1dapyA5OefT4fTp8+jVqthieffFLgSsLE7Yg3LMrKluBMgVDrEO7mnqrVy51bee6o1OdOKBeucV6LHgBF/6z0mjkvrPnFeWN+CzPz9f1f6OkwpvPcc881XUdPy9f/zLgw2WLqGa7KVob7jqnIzDbP5/MSF4nH45IASPiK3ol+kbDOVjablYq2dAGZXEcsNpFIIJVKYWpqChsbG5iZmUE8HpdqxnqlwvthrEXPi99Pa1TN++HPQCNwzsRAti4mFMADnTk/XMy5XA75fF7GslWV5J0ILT4qF3b4GxkZQblcRm9vrxTz7ISXp8Iuo6OjOHTokMRG9J4dGX5ra2tYW1u7wqto9cw8hDg2nGMmlBJCoXfDMWDFba4jtZwKjRqTydRkSXelc8LxJVTdToG0E+ZBUSHwmuqaUuO1ALZtVPLgvNrQ+S+r7Fi5sHS+0WhENpsVTc+Di+U+9DWQgGacMZVK4cUXX4TL5cKRI0fg8XiQy+Xgcrng8/mQzWbxs5/9TILXhNiIgaoLUy2prrq3zKzVV9/ttNBj4WGmWl9shEb2Bg81xopIOeaBymoEaufBnSgWfY9uoEEosFqt6O3thcViQaVSgcvlwq//+q/DYrHA5XJhZmYG//Ef/7Hnbn7q9/r9fnzkIx/BwMCAeAaqVCoVnDt3Du+++y4uXbqEjY2NJrafXghb5HI5zMzMoFqt4uLFixgcHER/fz8KhQL+93//FyaTCffff794wpyb/v5+nDhxAgaDATMzM039KphXxS6n5XJ5x7EGzhNjGZcuXQLQyLim50JW1n//93/L5zoh+jHjdfUxHuZRPPTQQwAa64bwKC3fycnJjtwX7405SvV6HS+88AJKpRLi8bigHNsRwqg8h1TGUqt4orqmgCvHgmfGfibZ0njRG256VqF+DNTnAhr5Ja+++iqABiuMipGvzJ9iZj3zrfQxNa5TEodUhQw0PG79eb6dMdqxcuHm1ueOqJaCOon63ATeuMFgEMuRjI/NzU3kcjmkUilks1nMz88jEolILTEesuqDqrkgZK8RElGrCu+310IMmBaZigeryYE8tPQKj9YcGStAgwywk/tvdSCrXhVzBliiR/X21O/uhLDKgtPpbKlYgMvPOD8/j6WlJeRyuW3nLNTrdSkBtLKyIpRvjjMPEAb/yUS0Wq1wuVzo6elBOp2WGCIJApqmIR6PNzUx60pnhVA5c1R2WjiWZ4A+Tgs0OkmyxhzXgtpMTv993coN+yM7Ui60GLhx9RVX+TfGOjj5nEy1YZTqxVCJAJcPAyZFMmivBu75HjUwODw8LLASS6Goimi/Fw0TA6kgAAjjjbk6c3NzqFQqyGQyolworIrc09MDp9PZVLZGxX7fSzguHBsAkvMBNGIgrKZgt9vxxBNPoFKp4Omnn8bKyopYKp0aE5/PJwzAVod1sVjED3/4Q7z11lvSpfS9jBY+F0vdPP744xgeHsav/dqvIRQK4fTp0wLxFQoF9PX1yTqsVqsYGBiAzWbDPffcg3w+j6eeegqapuGTn/wkqtUqHn30UaRSqbbe01ZCpcf5ffTRRwEAN910EwDglltuAdCwGPUezW7XaruYij6WQ+IDMXsytsgyYhuH73//+wAaLKJO7aFqtSo5Fzut2K0K0QH972w2G2699Vb09/fjYx/7GEwmE9555x0kk0ksLi4ikUjg7bfflioRzKnZ76A92WLci+r+3EroYXB9MFZDj4X9XXjmsnadfn45VoylMJ+KkDHXBfd/u35B+vtljlor2bHnonoN6iHAvxEeo2eiHo7q+1Xrg9DP5uamKBfSU1t5Hyqdk9Y4ky71B8LVwM31wT8GnAlHAZfjRwzMqwpPhQpYG6tarTYlkO70XtoJ4Tu73S71uJgnFA6Htwyk71TIEuvp6Wn7LDxY2Pb4vQwBPYTA2mqrq6swmUyIxWJwOBySmElFTpiWcAyLZI6OjiKfz2N9fR1GoxGHDh1CoVAQWBbYmmrZlZ0J55ZjulfDT38eEBpnvbrh4WFomoZ0Oi0pFAaDoSkfr8sE2z/ZFSzGf2p8g9CQw+HAxMQEDAYDJicnJT6iWuFUJvRsNE1DoVDAxYsXxVKt1WpSG0y/CNVFRdYI6btUSNVqVZha+x1zIS9e7fPtcDjg8Xhw6tQpVKtVPP3000K51C9oTdMwNjaGoaEhHD9+HMViEX6/H8lkUmiW24WKeO1WcCTva2hoCJ/97GdRr9fxT//0T1heXsbi4qJYM50Ql8uF+++/H9ddd51YRfp7VYPw7eZH9V70RgNw2RJmBv6FCxeQy+WkcjTJAtPT09A0DQcPHoTFYsGnPvUpMYIA4IEHHpAxSyaTuHDhAlZXV7G6uir9TnYqtOaeffZZAA32FYXVhzulzPVjx++nB0OPhP08fvM3fxNAwzMh5q73YEi2cTqdVzCcdnufnXpmxisJfXo8Hhw4cAB33nknxsfHMT4+LrB5PB5HMpmE2WzG0aNHEYvFhNW637A50DDs2lVe0H+/arADDfYYlSLnjbEzxklpzDLTnr8nMqTv90OPh/POdcPv4fX01ZBV5Knd2O1aubTzCBjENRgMElDTB0Vp3TP2AjTqCXGhUPm081ooVGhWqxVer1egKWLsahb6fuW6qMqT8Z9QKIRgMIi+vr6mhldtJ+L/ck8YeFeTSdtBQ6qof+f3qGNFmI25NSzoGI/HEY1GhSyhFl3crXDuh4eHMTo6ekVtJo5XOp3GxsbGrpMVVWiBQXTWgqrX60gkEshkMlhYWBB2nMfjweDgoATuaRTV63Vks1lomob+/n4pkNiVXxwh1OtyuZr2DytoDw8Pw2KxIJVKwWazIRaLIZ1ObyshWd2DXW9ne7KrkvuqglH/Ed8/cOAAzGYzUqmUHFwAmg559aBXrQ8AkiOipwSqiojQE3M2PB4Pjh07hlwuJ+1P+T0MFHeqLHc7IUTX19eHhx9+GAMDAzhy5Aji8Th+/vOfS6tj9R74TIwPuN1u1Go1+P1++P1+6afAOIzqhamxFf3CV2MvRqNRSvH85Cc/gdVqxfPPP49qtYrFxUVROMDeLWkqlr6+Pnz84x/HwMBAk+fCeU2lUvj617+OqampbR3irdYB/+9yuTAyMoIHH3wQfX19gqN/61vfQjgcRiKRgKZpGBkZweDgIH7nd34HPp9PGH5kzy0tLSGfz+PWW2/F8PAwHnvsMYHHdioqeQVoYNxk+7DPhn7+9mpB8zocc76yai4xeOZH9Pf3AwC++MUvAmiwxc6dO9d0PULc16pw3VmtVmlDQYOtv79fYm3ZbFZqkh09ehSRSAQ/+MEPkEgkWjLtuIeIkjB2stOx2O3nWrFugYbnQg+F88z3q+kdQDMUyfsBGrEY5lup9Q6BRkxGHwKhbOXR7lq5tNoMatxBtSTVkvnvdV2+bqUE1IPTYDCIEnI4HHLY8CBX37/fQiuYPWjUpLx2rjf/RjYL2VJUnmrFYCoKtT6W2lsHaC4jobrWhONoqWWzWdRqNXntpBByYtth1XPhPUQiEUxPT+PixYvbTt5s5TGrY05oh9UQwuEw5ubmkM1mYTKZhBiyvr4uVGz2gSmXy1K+Xe1m2rVSr21RzwzW7NvY2BAlSqXAM4gFTV0ul3jqbEzGc4f/b/ddXdme7LrNsR6q4uTmcjm88847cDqdgvGz4rF6KKpWASdedU31JIBWCoKWxMzMDILBoODEvb290DQNi4uLAq21q1HF79qLqB4CvYS33noLs7OzWFhYQCaTwfLyMhKJRMv7qNVqiEQisFqteP3116VSNGuuEUKkZ1SvN3J4yMLi+OmfV2+pGAwGCYSrf++UcDPbbLambHzeQy6Xw9/8zd9gamoKzz77LFKp1HtadPp1pv8+s9mMQqGAF198ER6PB6lUCvF4HGtra8hkMtKBMpPJIBKJoFarwev14siRIwgGg7jtttuQz+fxr//6r5LIyZLuexXeL1k4fP3nf/5nAA1PZq/zoJJcgEaPdfY+5+8ZZ6JnwnwJ3pc+I1t//WtR1PJBiUQCP/rRj3DdddfhlltuaTLw2JLh+PHjKJfLCAaDWF1dxcWLF7G2tiZtQdT8p3q9kXqx1yoKnSAv8JWGM5l3esSBHrdKfmkl9GzanYXtvBKup3b1/4A9KBdVVIuyUqkgFouhVCqhp6dHAm1qMUomO5KaTKYXlQ/zDNopGNVSZ90ui8UiLY5V65/v2U9KMim+fEZWbGWsSU2abBW4Y3+aVCqFtbU1mEwmWQz0TOjBqGOo5nOom0B/ff3P+2mBcT4ZUOd98TWVSmFubg5TU1NIp9M7ggr071PjcSyQyqoOqVQKmUymiaHHNXrp0iX4/X7Y7XZks1n09vYim80KsSEaje4oqa8r76+o50ShUMDy8jJCodAVEDL/0WBjyaCRkRFJAeA6IKzGFIqu17Jz6YhyUQOrrG7Lmk9+vx+hUEhqAtlsNpw8eRKapgnW3tvbC5vNBqfTiUQige9973tSbpu5CaqyABoEgFKphM3NTamiCjS0NsucqKVo+NlOisfjwcMPPwyTyYSnnnoKiUQCb7zxRhNxgV0U9UJvg/Wwzpw5I+2d1QOOz05FeujQIek/oXZpVOX92BAWiwWjo6NSN85isQhEef78eczMzOCNN95AOBzeE823Xq8Lk5BKin3EmfHNWk4cF9a7m52dhdVqRTqdhqZp+PGPf4x8Po9wOIxqtSqxGL/fLyyZ3QrXGi3A8+fPA2jUeKIRsVcvmp/jOiExgyw1xlL0uWnsuf7mm28CuJJ63SnvvpV0+to0MhYXF+H1epHL5SRpWM841DQNfX19CAQC+MIXvoBKpSIxzrm5OSwsLKC3txe12uVaiKVSqenc2M097yUtQn9m6ddNX18fAGB5eRnAlXk07RqetWKXbke28/6OKBcKMctisQiLxSJYONljDocDdrsdo6OjkikNQEqSOBwOeQ+DcWp2OzH1SqUiVrzKV2fhOpajoQLSewx6JlUnnpvPTkWWzWabSvxvNRmq90J4zO/3y70TG6YHw2xyejOZTEbKO7zfwmcpFAoCNbBPy/nz57G8vIxkMim5J3uFCqicgcuQTr1+uUNlq+ZgqnWr5lXRU2ZpdTINu9bq/sp+jS8PcRqm6lmhGpgMgjscDlSrVYm96PtA8f3qtbvy3tIR5aLyzQlLVSoV2Gw2BAIBnDp1Ci6XSxTMgQMHJABbr9elLANhJC4GWlU8JOim8iBlprnVahU2GFsd1+uXKzirDCtVOqlgkskkvvvd78JgMFzRuEz9vnaiBvS5uImFZjIZ8YAsFgtGRkYwNDSEu+66CxaLBW+//TZisRg2Njaa8NGrvQFUYsKFCxcwPz+P2dlZ+Hw+DA4OolQq4fnnn0cqlZKK1p2CnQi5kYm3FYzB97KHjdFovAKCZc08YO/sOf3nWWtM/+x7nS8aXgxk03t/4403ADSwdX4vDTt6++0w+V+0g9RsNmN8fByjo6NIJBIwm83wer1Nxqp6VtXrdUnaZmVkrlH1/KDsZc12ciy5PslCJHuM96fvJMln0MdaO+Uxt5KOeS56Jg+ZG5lMRtg6gUAAmqYhm82iXC43tftlAbtIJCITTWudC4JJkRTVO+GhwX8qa22/NwiTKNWx2Kmo8QkmkAJXwhRsKc2x0WPK76fwHjh/ly5dgt1uF6W/vr7e0aZT6gEBoAlj30r4HnqW+oTTX7QDtSuXhakJPFhJ3mCHV5/PJ0pGzW/a3NyUIpiE6k0mk6Qu7Cc0+Msshp0MmMFgaPnmVoPP2lIOhwNjY2Po7+/Hhz/8YQDAyy+/jHq9jpMnT8LhcAiT56WXXkI0GsXS0pJ4PqpyYS0gwh8ul0uYVUzKo3LR30+7+9Z5F9s+nbcaC/W6u8Vm1THlszudTpw+fVqSxCqVCqanp5uaiekrwO7kO9X73elY8B4BNJERgAarjx7lXoWKVc2fIXyoe4at7lk+/15KqRPrgqJCu7wP9XWnljGvx1d9TTE13qS7TwCNMeLn3ysO1smx6KQwhsJEWbvdLl0Uw+EwfD4f7r33XgwPD+PUqVNwOp3wer3IZrP4kz/5E6yurkLTNFQqFczNzSGRSGBxcfGKAqZ7OS92E7PhfOpZXzTM+bM+H4sei9pED2iwAhlOYAxuu+uuVezm/4z4K8aiozEX/RfSQ2HtJpaCmZ+fR7VaFb65wWBAOp3G4uKiBGN5DR7UzGfR05lZ5VS1Qt9PC6MT3oP+oFNppmSk5fN5ie3w4LhWPBcK50lfBK/T39Wq1M12pF2Qsyu/eEJjgdXIyR4sl8uYn5+Hy+XCjTfeCJvNJkUriW6k02lEo1EAjTOnXRXvrmxfduq5bABY2L/beV/lYL1eD233zd2xaEh3LBrSHYuGdMeiIf9/HIsdKZeudKUrXelKV7YjXVygK13pSle60nHpKpeudKUrXelKx6WrXLrSla50pSsdl65y6UpXutKVrnRcusqlK13pSle60nHpKpeudKUrXelKx6WrXLrSla50pSsdl65y6UpXutKVrnRcusqlK13pSle60nHZUW2x7RaiY1E0fZ93i8UCq9WKnp4eqY9VqVSQyWRQqVSkoVerqgHs9ghAWvwajUapL7bD5wDQskvjNVmU7/2Q/RyLdjWb9PPBoqWsP8fS+GzjrNaBAiB/5/pjQcq9ls1/v9eF0WiEx+OBzWZDf39/0/5aXFxELpfbUUfPvUgnx4JFFffSNO79lE6Ohb65l/73+urnbICmL1LLPeN2u+V8NJlM8Hq9qNVqWF5e3pcuq1elcCUPA6DRa8BqtcJms+HAgQMYHR3F5z//eTgcDpw7dw7RaBQvvvgiNjY2sLi4KEUrgeYicoFAAJ/+9KdhMpnwwgsvIJ1Ow+FwoFwuY3Z2tqljJQe7VRFLltoG2vew2K7oqyprmiYKMBaLtWw7TNlL1WTgSgW+F+lESXGj0di2R4Ra+VctOPleLZmNRiMcDgdOnjwJq9WKaDSKSqUiJf0rlQo0TUNvby/q9TpWV1dRrValeGEqlUKlUkE2m23q38M1om4wfY+Pa6X0PvsaPfzwwzh27Bh+67d+Cw6HQ4q9/vmf/zkmJyfx9NNPX1EZ91oWtuAALu8VGosAWrYD30rUAqT7MW/73Y3TaDTCZrNB07QmhcsGiawoXqvVpAHj4OCgtAUALp+xvJbT6cTx48dhtVpRKpXgcrlw5513IpPJ4C/+4i+wuroqFcrf6xzSV2fXV3a+Kv1cKLVarakxES1OboZUKoVsNotarYb19XVpUczeCfqy/TabDRMTEwgGg9A0DT6fD7/7u78Lp9MJj8eDaDSK73znO1hcXEQ6nUapVJJDpZV2Zs+UToh+YHt6evDlL38Z9Xod3/jGN7CxsQFN02RBABDvbK9WdSctj05sGl0p8iv+1qqKsV7Z8HdqWfpcLoc333xTOnCaTCY4nU64XC5cd911MJlMSCaTyOVyMBqNKBaLcljprbqtnvNaUSaq8KCYmJjAV77yFfT398Nut8th6nQ68dWvfhVLS0uYmprC9PR0R4yNqyFszGU0GmG1WmE2m+HxeORcUOfuveal01a4XloZqJ1YK2rXU4vFAp/Ph/vvvx9ms1laaaTTaRQKBUQiEVQqFVgsFpjNZjidTvh8Phw5cgQulwujo6Mwm83I5XLI5/OYnZ2VVhzr6+uYn59HJpORdiUUejftnlX/N/7MthdbVaHfl5L7rZovsf1xNptFNBqFzWZDNptFPp+X3ub6G1UtXJPJBJPJBJvNhuHhYelXUCqVYLPZpCe6+r1XS3gg8lA0GAxwOp0oFArivahtimu12hWNiFTZzr1fawfhdu9HfV59v3d9v2/+nl4pW2fTQuOYa5p2RSdUtQlYK4vrWpF2cAjQWEd+vx9utxs2m63JSidKEAwGxXK9FqXVM6p9mvhPnVu+h4bJtTRnnRD1udV+TS6XCxaLBR6PByaT6YrQAj8LQLz2QCCA4eFhmEwmbGxsAICctYlEoqk1RytIbDfjqyIB7WRPyqUdNNNK+1UqFSQSCRSLRTzxxBOw2WwoFArIZDKIRqNyEKufZevjhYUF5PN53H777QiFQgiFQqjX63jmmWcQDoeRSqVQLpcRj8dRLBa33SysU6JpGoaGhmAymfCtb30LVqsVN910E+r1Ol577TXpt2I2mzEyMoJ6vY7p6WlpbdwiSHI2AAAgAElEQVTKalattl+UjdXuANd7JupBqMZM9BtJVcgWiwW9vb3iAZdKJayurkoPD5PJBLvdLtCBqrhbwW/XwpgS9gMg0J0qNpsNp06dwqFDh5DL5eBwOMQTBpotX+DaUpoUel8ABLGgMTY4OAiDwYBoNIpisSjdV9vNnd6Teb+ed6/fqzaqIxx48OBBBINB6dPERok8H9huma3QbTYbgsEgbr31VvT09MBgMKBQKOCdd97B2toaXn31VWkgWK1WUSwWm1q+t0N1tit6CLyV7FuzML0QAioWi1hbW5OuhcViEeVyuWU3QLpdHFCj0SjwSLVaRTweRywWkza67I3O79tvUS0uWtXsvz44OAij0Yi1tTWkUink83mYzWa43W6xwls1N+M4qNZEJy23/cSPtxK10ZnVahV3XI2BqU3RqCxUWFE9iIHLC5zWe61WQyqVAtDofKmO7Xbhsast6rO3uq9KpYJyuYx0Og2bzQan0ynKl0abGm+8VsVoNDateZPJ1GSN83zQezd6uZafcSfCZ+e+sNvtsFqtTXHmer0uhhObJHKcqGgKhQLK5TI0TZPzlUY7mzXyDL3aY7dj5aJugvfCd/VWR7VaFUvFZDKJMmjHXmgVhGUcplQqYW1tDYuLi1hZWWmyiniP+43FGgwG2Gw2sbw9Hg/uuusu9Pf34+Mf/zhMJhOOHz+OWCyGS5cuyUIoFArweDywWCwSkLNYLKjValcEN/kM7bDNnSqe/Vxg7a7NDeT3+6WXOZkulUoFyWQStVoNVqtV4E+n04kPfOADssmq1SoymQwKhYIonN7eXvh8Ptx4440AgLNnzyIejyOfzwsTkRtOhWevpYN4q26YuVwOzz//PKanpzE2NobrrrsOd999tyjfSqWC1dVVLCwsIJPJ7Pt6361ks1kJQhsMBsRiMelUCzTw+1wuJ/NC2JNSr9f3paPp+yE0qGhs2mw2YX8Bl8fD5/OhXC4jk8k0eab0PnK5HJaXl3HmzBn09PTg5MmTqNfrSKfTyOVyyGazTd4w17/eI1TRp1ZnyXuN9VUN6FP0D6EqCXoqW7lo/Azdap/PB7/fj0AgIAexzWaDzWaTFse0hgA0HSJXY9PxICN26vP5BBMFLgdfCQeYTCaEQiHkcjlomiZKUfVoaH1vRc/mGNHD0/8euBKeosdwtQ4ifYyFB6PJZJLn4gLn710uF3w+H4LBIOx2u8yv2WxGsViUcQsGg+jp6cHBgwdhMBiQSCRgt9sRCoWQSCTEcuPnr8Vg91bzyrVcqVSwvLwMs9mMm266SXrEV6tVrK6uCsS6lfCAutqKVV27DocDJpNJUg+ABgRmNBrldzxoVWKH2vL8l0HUfUBDgc9JIxqAGN+EPyuVStO6SKVSwhrjGaIaomrcinuLcJvBYIDdbofBYJBwAg0x7ls9A3cnsmPlsp0voSWiZwfx/7TWeaioog90ud1unD59GmNjY/jEJz4Bv98vLuQ999yDCxcu4OzZsygUCmIRqwSCSqUiNL594HZLkIyW+MLCgmCqNpsNdrtdlKHRaMTw8DA0TcORI0dQLBaxsrKCXC6HlZUVFAoFgY4I9aytrUlwTp10FbsG0OT2tmNm8bq0cK62gsnlcmJ9qsFKbjAu9mPHjiEYDOL06dPweDyiGHK5HDKZDM6dOwez2Yz7778ffr9faJknTpxAPB5HvX6Zlnz+/Pmmg4zrgPf0fh9U9Xq9SSmoB4HZbIbL5cKtt94Kg8GAxx57DA6HA2tra5iYmMCnP/1p5HI5fO1rX8Pbb78tgdxWomkaBgYGAAAbGxuicK+mkFJtNpslrkADELg8FiRneL1eWCwW2Gw2VCoVhMNhiU9uR1rF2K4l4T7UNA2lUgnVahUbGxvI5/MIBAKo1Wool8vI5XKYnZ1FOp2G0+mEw+GQuJTb7YbD4RBYlMqF4QHmFKridrtxzz33wGw2Y3l5GSaTCePj4zAYDIhEIkgkEnjzzTdRLpfhcDhQr9clnq2Ph29HOu65UEOqeCo3tx6uonKhNa26xDw4bTYbent7MTAwIIlkqoXrdrublJmK2zMOAuAKeKTTQvw7n8/LgcFDwmKxiBLweDwSzCsWi5K7QauO4+fz+VCtVpFMJkVxEYOlB0DooF6vCyzCsVStIN6L6kVeTWaRfm54b3rjgs9ut9vhcDhkA3G9+P1+oRqbzWZ4vV5ZE1wzpVJJxluFSNV/15LoyQs+n0/gEhpRfOZUKoXZ2VlUKhUsLS0hl8thcnISKysrbZUFCRQjIyOw2WwYGBgQur5Kcd1P4bwzJYEK1Gq1iuGgQt6HDh2C3W6HyWRCsVhEOp2WgPV2Ei71Xvu1YEjohfuXz0PPpVwuw2g0SjyFELnNZmv6nNfrldgliU88DywWi/xTGZj06sm0BSAGea1WE5ZaPp+XzxKq1hvo2xnPjioX1fXiYUoPgtpYfS8hIia9EYM1m83QNA12ux0HDhzA3XffjbGxMTgcDnGZaYmrwU1Skal8eJA7nU5UKhXMz8+3ZKXt9ll5qFEJms1mpNNpZLNZOUCdTicCgQCCwSDq9brkZiwsLAjEUyqVBI+mC+z3+wUey2aziMfjMBgM6Ovrg9vtRn9/vyjPcrmMubk5FItF2O12FItFvPvuu8jn81d4PMS19aSBvYqaRKkXlcdvMBiQzWZhMpnQ398PAFhaWkKtVoPD4YDFYoHL5RKGUb1eRz6fh8PhwPHjx2EymTAyMoJqtSpjTpggk8kgkUggGo0iEokgm82iWCwKY+ZaO2CYSGg0GpHJZBAIBPC5z30OAwMDmJiYwObmJr72ta9hcXER+Xwe9XodTz75JCwWC86cOYNqtYqFhYW265lrtL+/H1/4whcwMTGBo0ePwmAwYHZ2FtPT0/jqV7+KcDi8r89JyOvSpUsCAVksFrmX+fl51Go1+Hw+HDx4EI888gi8Xi/i8Tii0ShcLhfC4TDOnj0r1QjaUbfVV73ox+j98nB49ql7xmq1QtM0ZDIZ5HI5JBIJVCoV+P1+ybDnPtI0DW63G7VaDdFoFKVSCSsrKzLXbrcbAwMDiEaj4tF4PB4MDg7i+PHjCIVCMBgMyOfzmJycRKVSESSFRKmFhQVUq1X09PSgXq8jFos15RBu5wztuHJhoqPFYhGXjzfCwaRCCQQCYmEyGxWADKDP50N/fz8CgQBcLleTNwRctoS40FSrlK88pAYHB1EqlRCLxaBpGpLJZEcWElkdDFirORfFYhGapok7b7FYmqAq3jPHgpYJx8dms6FWqwlEwMUYDAZhs9ng8/lgtVolC5e0Q/V6rTwYtWyKOlZXQ2id03tVyQrq/2m1bWxsiHtOo4JjrXpzzBmKxWKIRqNIpVJN7ny7eMv7bdESBjSZTEIv7enpQX9/P3p7e2X9kKxCDxUAkskkgPZED1UsFguGh4cxMDCAYDAIg8EgLCJSXvd7HAgB0hDgerZYLAiFQjAajRgaGkJ/fz+GhobgdrvhdDpht9vFg+uUx301vfZWwvVPY1zTNFitVlgsFvEiOT/8PfNfqGTo0a6vryOfzyORSEi+X6lUkvcQsmf2Pz0aGvTcIzRUGdPmmnC5XGLIMYapP3PbrZ2OKRcV07/33nths9mwtraGRCKBV199VfBSTdPg9/sRDAZxzz33wGKxYH19HeVyuSmJymKxoL+/H36/Hx6PpwnmAC5vqrm5OczPz0veAxdgvV6H0+nEDTfcgGAwiNtvvx2VSgWBQACrq6t48cUXm5gpexG32w2z2Qyr1QqHw4GRkRH4fD4sLCzAbDbj7NmzKJVK8Pv9MBgMmJycbOKdDw0NyWIrlUrioahwBr0MekmE26xWK8bGxoQ9kslkEI/HYTQaceDAARQKBSSTSZRKJeTzeTnAydAiQ0SV3Y7JVp9jEJKwCGuALS4uAoB4Mk6nE8ViEZOTkzJ2LpcL119/PUKhEAKBAMxmMzY3N0UBccxyuRxmZmYQi8XwwgsvIJPJiHGjD0qqh+n7qWDMZjOGh4eFxOFwOIRKSqWYyWTEa9mpqDGdkZER9PX1yR4j0SQQCGBtbU3KgXRaVCNGLYdkNBqFNXnfffcJ48nn82FsbAyapiEUCsHv98t7CRu18kDUs0FvZLZ7r3qWXG2SAxl0wWAQDocDg4OD0DRNns/r9YrXbrFYcPDgQQQCAdx8880wGo1YWlrC6uoqfvKTnyAajYpx6/V6xVO0Wq0SXyNKkkqlYDAYkMlkkMlkJEYcCASk1BKNEcJhhUIBs7Oz2NzcxDPPPIONjQ1Eo1GUy2X510r2BRZTcT6VFURLv7+/H8PDwxgfHxcqLw9bYoNWqxXBYFCwRR6qnBy6hLFYTLS8uqiq1aoMLK1dt9stg98JoTIlLulwOOR56DHk83lhOhH+oHeiWvJ0NYltZjIZsSCoTNT7pkVCi5wWfqlUksmmJ8NXbk4ATfPCMaPsV0xK9U5UT0JdH3y2UqmESCQCp9MpByE3EWsjMb61ubmJbDaLhYUFxGIxOZD1Hu21JrQcgQYrKJlMwmq1wu12IxKJtMxPIFOOc1ipVLC5udnSO+OaYDUMFjQkxKLuv/1SLmrsS/0d85eCwSAGBgYQCoXEWGM8Tk2w3UpZbPdemLhKQgnXJedCXafq5zqxjtT75Hp3OBxwOp1iGKsGkXqG2Ww28ebU8WS5l3w+L0qFZ50ae1Tp3kajUejKxWJRvpdleBwOh4Q2WL+Rxg/DEyrdv510RLnwYblIn3rqKSlWWS6XZYOwIvInP/lJHDp0CKdPn4bVapXchJmZGZhMJhw9ehSapqFQKAjeSPcduHw4FQoFvPjii3jzzTeRSCTke3g/2WwWTz/9NDweDzKZTJNbyU25F2Gl2hMnTsBqtQo9NhAIIBAIwOfzAbiMpVYqFXg8HhkT4PKmKZfLWFpakgTRQqGAlZUVJBIJXLhwARaLBWNjY1IChIE+ejlmsxmlUgl2ux09PT3o7e3F0aNHUS6XEQ6HUSgUBB4iljs9PQ2D4XJZEcbBuHH2M9mqVqtJTIwKlJYsjRCr1Qq73Q6n04lyuYzFxUVEIhHEYjH4/X4kk0lomoa5uTnh8fPgZNC7VCo1xZVaSTvs/WoroWKxiLNnzzbVRHv66adhNpuxtraGXC6H9fX1pvsyGAzo6enBl770JQSDQQCXGWDf/OY3sbGx0TIJMRaL4Tvf+Q6OHTuGRx55pIkWHwqF4PP5BHrrpNBQ5CHO+Sbc1dfXh1AohIMHD6K3txcej0eqEOjh73ZlS4Dm8kFbzTuNwTvvvBM2mw3hcFgOzlKphI2NDVk/qrG63bSArYQGYr1el3iyy+XC4OCgQH/ValUo9CsrKzJeoVAIHo9H0A+eGysrK4jH40ilUgKxU3mS6MR79Xq9cDgcWFhYEFiM3r/BcLnqBYkBZrMZ5XIZTqcTw8PDcDgc6O/vR7VaxZEjR7CysoLvfe97WFhYwMzMTFsW366US7vNSI8hmUxKIJ2TRHzZ7/djYGAAQ0NDcDqdoh0ZTzAYDBJfodWvt7D5PSyCqc9nYQyHdNvV1VV4vV4EAoGOWWjqgVyv1wXLdDgccDgcQgNkRr7T6WxKlPJ4PCgWiwiHw/8fe98VG+l5nf1M772Rw7q9q61WzbIiWRLsuEBwEPfEF4aNFCOAgTgXDgLkKkFsx4nhODcJkN9B4jhw4hIrAmzJsrq8kiztrqQt5O6yDoec3hun/Reb5/Cdb4e7Sy7LxuEBCO6SnJnve7/3PeU5zzlHFCQb1ZGySwiI1EB1TRqNhhg1ALJmWp47PVPW3xSLRWHfEHrhwVEjm80QtbZB9WKJK9NzotHjFyE8NjpcWFhArVZDtVqVtSA0qO30oPUWbyUh7MHnBkCS69wXajRiMBjgcrkQDoexf/9+oRcnEgkcOHAANpsNmUymbw3Z9ZLZmyE0YFqjoOb/mE9j7kHb4Vj14rU5V36GtjfdatfC71Subrdb1qrRaEgultes1uBQh93MHuK9Efans8l8B53marXa05eQ+5tOYr1el4a/3CPqc2buhJX/wBX9oLZKUoXwK3M1JpMJrVZL9praRcJsNguyxKhyNVmXcVELfHhDAMQDpwUkJxuAsH3Gx8dx9OhRBAIBLC8v9yQsh4eH5QGWy2W89tpraLfbuOeee+D1euFyuXoSwsQZtaExr4eL9tprrwl1td1ub0hr8k6ng1wuh1deeQUejwf33nsv/H4/xsfHEQgE4Pf7YTAYcOLECXS7XYlYarWa1B0sLy9jbm4OuVwOL7zwApLJJJLJZM9cksuXL8PpdIrxmJ2dlfwUizWpYNvttkApxGqj0ShcLpew1A4dOoRisYh3330X9XodNptNivSKxSJisdiG1UCo8IeagAdWGH0WiwXj4+MSnZEBVS6XBSolRvzuu+9Cp1up8FYLQrvdrkRAwOownwq/qbIRymM9olLlSTEG0LNW/DuPx4MPfvCD2Lt3Lx599FEZbdFsNsWj/Jd/+RfEYjHEYjHU63Xk83n4/X589rOfxdjYWE9estu9Ug+UTCY3pe6FUDEVIPUGnYLp6WkAV3JuPp9PYBw+T+YIqGyJXtBp5NlXmalaJxPoff4c0eH1ejE0NCSIQbVaRTqd7oH21ShehTDXk6OhkQIguoj5ZObc6vW6dC9WW70Ui0XE43GUSiWcOXMGlUoFJ0+eFDhYfXZmsxmBQAAPPfQQAoGAlD2ohnJ5eRmxWAylUgk2mw3FYhGvvvqqJOsJ1w0ODsJqtcLv9wsEvbi4iHw+j2Kx2Ddnq8q62r+sJnywTOD2w1ipZFQ6IXMCZF7RStMLKxaLElKq70llom4irZFh0aaaY9io8J/eMouhuPlUL8lms4l3xs1C74AbihubyXfVC+Ha8B5qtRqazaYwQZgkZ4+2RCIhG4TeCmEzrq/T6ZQmny6XSyiGpEFvhqiHUa1jMpvNUtPB/kjaLtlcN/ZtU2t++D5anJq/B1aYN9eKyqhwt9rAaCPyftfIOgfCJ06nEzabTRiBdFasVisOHjwIh8OBVColDVM7nY7kXKiIOOeGUfJm3TPPPeEa5gkJkTscjqv2HM8oPXK73Q6fz4dKpSL5AvV91SaQqsJTK/zVaImROwkOauEh94CqI+gw8+9uJv/CfJfb7RaHkeeczjb3K9ei2WwKBZilDul0GqVSqacXIevjQqGQMAO5NjTwZHzRkLBhaC6Xk88HIKxEFt0SPlS/M++7mk24qd5iqqgLrq2GZ4KbOOLPfvYzqT2x2Wy46667pCaFCWjOJKBSHR0dxejoaE+CkIl+fr76Xb0ublI2NtxIbJnJsFOnTgmjqVarIRAI9NRhcNOr8FY+n8c777wjTAwV4lMNZrPZRCwWEyMGrHi8LLIkYyqRSAAAIpEIvF4votEoIpEIBgYGYLFYEIlE0Ol0cPvtt0v4XCgU8Hd/93cyfGs9kMlqewJYKZ7je/OAMRrlIc9msyiVSj3dXIGVzrFs8UMIZXR0FDabDS6XC91uF0tLS3JQ2A2h2+1ifn5e1ltVpKslbrdKqFTUtaLQaSIddffu3XC73SiVSkin03K9XM9gMAifz4c//uM/xtLSEj7xiU8gFotJVPqHf/iHOHLkCL72ta/B5XJJnQuH2m2G0EC43W64XC6cOHFCog8ykzweD0KhkOQmec88txaLBQ8//LDUuaRSKZw9e1YawRJWp/5RlS0LcIvFouikZrOJpaUl5HI5QQCKxSL0ej0GBgag1+tRKpV6FLbL5ZIcYK1Wk6h6LUKD6XQ64fF4sH//fthsNskXLi4uSt4D6O0QXq/X8atf/UrKO0jTVx1R1vX9xm/8BsbGxnDbbbdJWoLRT6lUwqlTp5DNZjE1NYVCoYCJiQlxcNXGv61WC4lEAi+//DI8Hg9GRkbgdDqxe/du5HI5PP3008hkMjCbzT0IlSrrgsWudQD7QRBqxEB2Dx8QC38ajYZ0fM3lckgmkygUChISkqan8t0ZAWjZKKtd10aH/qq3WS6XeyqO2amU0ZVKIWZSrl6vizKl0qOy4N8RJwVwFbaqXke1WhUvlIlUfvFA0yDrdDqZfEde+9DQEFqtlgwZ2uh1Wg0rZ66Ka0RIQvVAaVDYnQGARGSEBvmebGxJmi/vuVQqYXZ2Vg7SzfRM2khZ7fPV6FeN8lToT/07rhEbhKpsKCaADQaD1EVMTExIIe9miZrfcDqdCAQCwnhyOBwYHx+XKnNGNCqsSWiY7X3i8TgASASknhXuF66VXq+XLsMqg1WNYBnB1Go1KUZW2VUs2na5XGi1Wshms6Ls12NcgJXIhY60qrsI7aqF4Xwt0Rs1F0l9puZCIpGIJOFZC0PIlREQC405pFGNllTjsry8jEwmA+CKs8rnw3wRWbLqHC1VNtS49IsemCxmjsBsNmNhYQEAhN1y6tQp2O12jI6OAriSzCwUCrhw4QKazSbOnTuHI0eO4Ld/+7d7ogG/34+BgQHEYrFtmcNNpc7Qmgl9l8sFALIJSL9WK+pjsRji8ThisRiSyaTAG0xqh8NhSZhRsbZaLcFj6aE5HI6e6MxqtcJut2P//v3CWjObzcjlcrBYLJKgo1Jnoenv/d7vIR6PI51O48UXX1zzWlwrolXzZCpcSios6af0NlmxTYWh3pPJZEK5XIZer5f2MPv37xeIiN2yLRYLTpw4AbvdLqy5kydPIpVK4aWXXhL2XD/8/FYgAaiOBnNONpsNQ0NDGB0dvYpOr14zlSP3GgChwf/gBz+AwWDACy+8IFDsZglbubTbbfj9fuzZswfDw8M4duyYJLLZV4vPjkV9AMRYHjp0COPj4wCAeDwuMHI+nxeav2pYWHjs9XqFLMP3Z3TDUgYaNeBK7sdkMgk7a9euXeKMkZRD7381b3014bNkeUE+n4fdbofX65Wz4Xa7BarkOadwbfhdzSuZzWZEIhEcPHgQ733vezEwMCB6IZ/Po1Qq4eLFi0gmk7h8+TLS6bREfypCoIpKjWcrGJZINJtNHDlyBKOjo8jn8zh58mTfe97QOhc1H6L9NxNkrD9otVrSVwuAhHwAEIvFJPxkspqN3choANATEWyHqMlk5gLYcqVWq8Fiscg6qF4580nxeFwiOHW92F+LngE3EGHEdrstfdWY1CXFmnkeYKXanW1h6PnyWtSiVZ/Ph2aziUAg0NPq/GZFxWS5Xqqnxk2s5tBYIEqvMxAIwO12S0cHMvEYvbBWgNEt8fNwOCx0eDJfaJCJOavRy3ZHMRSz2YyRkRGYTCZhMLE5IYvaeN39IkIVWqLw7/kzh8OBWq22qWeHz5fPlHVmDodDWiepDELmiEglZ6RKh5LPWS0wZKTOL7YVYueD1e6Ra6oy9SikCtP7p3FR50qtV+gEartGMJpRr08rzL0ZDAbJnWghZq4VIxsiGqlUCtlsFvl8Xko/yEgDescAUDcwQmEkyH2l0+mkXnC1qAVYo3GhZ3C9BGC/TV2v13H58uUe1oRqgVl1yp+riXe9Xo9sNovz589jeXlZvCHtZ2y10AuisiwUCnjjjTcQCoXQaDQkYRcIBLB3717odDqkUikkk0l873vfw9zcnDQgVD1MhvoOhwNut7vnoQ4MDMhmstvt2LdvHwAgEAigXC6LZzc5OSmYs9/vx3333SdRlWqcuW5sPXLw4EE8++yz61oLraj5MdXAcM2YYzp37hzsdjsikQgACEzKBOX9998vxoVe/PLyssy68Hq9Av8BVxpc2u12hMNh6cJrsVhw7NgxBAIBzMzMIBaLieHt19D0RqDWzRCj0YixsTH84z/+I2w2G/7zP/8TsVgMzzzzjEQad955Jz7xiU+IkdUmVdUEMa+fjsnjjz+OwcFBfOpTn0IsFsOXvvQlQRI2WqrVKt59912Mjo7KKF722COxhfnHarWK+fl51Ot1zM3N9ThQR48eBQChbe/Zs0fKEJjUZuI/EAjgYx/7GKxWK86ePYt0Oo0LFy5c1a6E66VGAHTqdu/eDY/HI+OjrVarUJV5DtcjJCcR/tLpdDLTntdXKBR6SBZ0LJ1OJ9xuN/bu3Ytms4nnn38elUoFRqMRTqcTBw8exNDQkORXSGXPZrPIZDKyFu+8845U56uOMZ023vvg4KDU97ChJXv/WSwW7N+/H5lMBr/61a9WhQi3bBIlPRP1IKzGwe8nZDpoOw5zHsF2ipp7YUI9k8lITol9wlgDtLS0hEQiIa3E1SS+Chkx0qBHZjBcaQrKPJXT6ZSkdblchtVqRS6Xk5qQdruNUqkkSTfmtOgh0cir2DXbkWzmWgGQ6LXZbIp3yUOnsqF8Ph927doloxboCbNDrtrXjffX6XQEcmOBorrvVqMsa2Wr9xU/j90pnE4n9u7dC5PJhIGBARSLRWHVqbUsVA7Ayrr2q2gnQ6zVamFwcFAU12YJjYiabFe7UBC2Y+fjWCyGcrmMhYUFdLtd+P1+iRa49+lRu91u6RTNQmTuH545RujXE20Ol7k87jmHw4FqtSqQtcpQXcta0IgwJ8uWSIScWBSsOt2836GhIfj9fmnaevjwYaFkM+FOp7bT6SCZTAqJpVQqSa5Fy8Sk0LiMjIzA7XZjYGBAunqQ1GC32yViIWJyLZRjTcZF3SzrkX7eofb31xJVOVgsFgwNDUmPno3qFbZeIVlhamoKS0tL0k9sZGREqn4B4JVXXsHc3BxmZ2eFsaJlLbFymgk5ABKpcJPdfffd4tm1220Eg0FkMhlkMhk5uExCMm81PDwsykptpAmshNxPPPEEvvWtb23YumjhGNWT5r3xALHxJ/NTIyMjGBwcxGOPPQar1SotJ9QCM163x+PB2NiYUL55AMgWqlaruHDhApaWlhCPx5HJZMRA9Yt8tysaJgRTKBRgt9vxkY98BPV6Hfv27ZPBUG63u2e/M4mv011p70HHRnv9qVQKX/3qV3Hs2DH81V/9lbRfp7HaaGFzWtLm3333Xfh8PqEgDw4OotVqYeHWeUoAACAASURBVHp6GouLi3j22WeRSqWEhfTAAw9gYGAA1WoVHo8Hd955Z0+R36OPPop4PI6vf/3rwrZkpGKz2SQ/sJoweiC8TnJIKBRCNBrFww8/DJfLJcXKuVxOii+XlpbWtSbUExcvXhSGJA0sHWg+N9Y2jYyM4JOf/CTGxsYwOjoKo9GIz33uc2i1WsjlcjAYDBgaGkKz2cQbb7yBRCKBixcvSsf15eVlXLp0SRwL4OohYi6XC9FoVCJbNk7l33PdCZt3u1c6Jb/yyiuYnJzse6+bMizsWq9Vb4qi/ZnWAFH5EK+lN0821HZHLrxOYIV+Wa1W5droTat5Ff5crf4l/93r9cLr9cJqtQqjhZ681+uVHAR7mXU6HVkLemtcU5W9xvqjfowUAD19lzZDtHuHHps238TQm+vAyISRllrFrFY622w2MS58L0KyVA5sr6FGjLdKroWRBKFnJpHpqZNhWKvVEI/HxUHgvev1euTzeRmVrRUSUNhXqp9jsxnCfBG96WKxKOe43W5jcXERiURC2pmUSiXpX6V62swbqs+407nSqt/pdEr9i9p9WT1rq4nqtAIrfczYbYPnmN47r309wuthdEkIjLlolQGmdmTYtWsXIpGIDFyjE8IIwuVyCbxYLBaRTqdln9O5VdtjqddCOrc67ZftY9TrIWOR+oFV+qvp3zUbl5vdjKoHy4tSlRkVIoW4+9jYGO6++26xnMwlsAX1doiaT6ACDIVCcDgcCAaD8Pv9PW06DAYD7rvvPoyMjGB2dlawZW4St9uN+++/H8FgEMeOHYPZbEY6nUaj0RBI5MCBA3C73aJ06MWRQUYPg/RMKt9AIIBQKHTVIC2t3EyycjXpt2eYF9DpVqbnkU3DXnJ+vx9WqxXJZFKSmOVyGWfPnkU+n0c+n4fX68Wjjz4qDB/V29LprlC+p6encfnyZZw7dw7xeFy6AKvU7ltBDAaD1CQVi0V4PB6pS2I91Msvv4xarSaK1u12Y2RkBJ/73Odgt9tx6tQpmW6qKgfgigL68Ic/DL/fjyeffFJGFGxGdT5wxagkk0k0Gg3kcjnx/HW6K/Tw0dFRdDodTE5OolwuI5FISLFfs9lENpuVljZ0nFRqPinXx48fRzAYxKlTp3rOIpsu9tvT1DMquYTw7NTUlOwLUnwNBgOGh4fRarWwd+9eTExMrGtNaLD8fr901OA+1BZu2u123HXXXdizZw8OHjwouo7GkgaQ8De7omezWUxOTqJQKEg+ivdMXcnXM7d7+PBhDAwM9Azeo/GmI898J3AlKlXbLfWT7dHK/yOEL+hpqz2C1NzD4OAgBgcHhXfOvymVSpLQ205RE2Jut1uazPl8PgwMDEgbBrIs2u02hoaGYDQaJVQNh8MIBoMYHh5GIBBAIBCQZCe59fTe1YevbgJGJ2qxIZP4bFCocuu1Qlx8Kzx5LUymMuSYN+DhYDRVr9fl8BQKBaktIqxBJcKDShx7bm4O8XgciURCmltu1X2uVWh05+bmoNPpEAwGUavVkEwmkUgkpKElq9OdTifK5TImJibgcDgwNzeHVColsCG/GPWOj4/D7XZjcnJy06dQMg9JQ662gGGE3e12kUwmpXZEbVNCphIps9rnxXxbMBhEpVKRRp7cRzwH/XqSqdeojfDz+bz08FK7blitVhk3vB4nTP0stZN7v3QByxpCoRAikchVqISKTJAIkMlkkMvlUCgUUCqVZFQDkQ9GTIyUmKxXu2Nr+9LR6dPqDDqz13JMttW4UDjkhgV9atuOQCCAD3/4wzhw4ICwYxhOPvXUUzh9+rRU1G61qOE0oar9+/fD6/Xi9ttvRzQaxV133dXTyJKtWD7/+c8jk8ngRz/6ERqNBg4ePAi/34+jR4/KREtW49LDZ6Ku3W4Ls0qF4fL5vFQfs237sWPHMDw8jPvvv186Q6sJSW5SGqf5+fl1Fdb1Y1apcJf2/+rnMyTfu3cvjEYjzpw5g3K5jDfeeAPdblciElKIz5w5I2w81kqotT/z8/OoVCpIpVKIxWL47ne/i1gshlwu13N4rrdntnpPsZqemHkwGMRv/uZvot1u48knn0Qmk5H6Cnq7bBn03e9+FxaLpSdpS+/UarXijjvuwOHDh/Hxj38cAPDWW29hfn5+0+vD6CTQAWOOzGg0Ym5uDt1uV/Y6r4V0Y3rrzCPu2bMHwAoBhYaI836IaIz/T03MzMwMqtUqrFarrImWZQqsOLOkNi8uLsJsNuP8+fOo1+twOp3odrtwuVzi+K0HLWEujaUKwEqHcAoNSyQSwZ49e/Dwww9LTzjVSFLxk1r87//+74jFYnjzzTdRKBSQz+fR7Xalju3gwYMwm81S33Xp0iVhEDL64dhrIil6vR6FQkGeGZvfkkCkFiT3k20zLlQw9DrZmsThcPT03PF6vThw4ICwW4AVD5vUzM0K62/kHrrdrkQIbrdbmlZGo1EZBETvmmGoTqeTkb/RaBTNZlMYUW63G8CVti7EUGlc1NoUlYHD+qFyuSyeKCHDaDSKwcFBmTuzmsdFIxWPxze8alubY1PXT2XpEL9tNBpCq26327Kxg8GgFHaxeE7tKG21WtFut8XAzs3NIZFIIB6PI5vN9qUc30pCT5+eZbVaxdTUFLrdrrT30f49Ix21iwU9SqICLpcLBw4cwN69e+F2u9HtdgV6I812syKYfl45zwK9Z9WL5zUTjmLNlur1a5lObP/DtvBer1fWsR8zqt81Aitthvg5jJi4NiSh3MxYCp4DtQmmSofmeYhEIohEIggGgzKDRz33jH4Y0c7NzWFxcRHZbFYMl5q/JOrD62b9Dkk0RI1IAFCvV/1iH79isSidVlaDlrfFuNDzYAKWsM2DDz6IcDiMw4cPizfLiIZYKxUqH/p2GRb1PogfDw4OSoXsyMhIT+GimrhXm9d94AMfgF6vRygUkkr/arWK2dlZpNNpTE1NQafTYffu3XA4HEJB7nSuDCJji5y33npLKo5DoRAee+wxDA0N4cCBA5KUVCMW9XBwTbPZLL797W9Lm421yI1GAWrUQliDEQgr5kulEjKZDBYWFgQzNxgMWFhYEOPDXA2n43k8HthsNtRqNZw+fRr5fB4XL14ULF/FnjfqnjZSVEiYn10qlfDMM88AwFWGRZVWq4VkMtkTPRJfHxoawrFjx/DlL39Z4BWdTocvfelLWFpawuzsLM6ePYtcLrcp+Sf1uVMxMvFOJagaNnbyIO2YjDPOM2KVOHMSZBcGAgH4fD7RDel0GvPz85iZmRGFq72/fpE2O3+QrQlAWGfvvvsu5ufn8corr1yzeHA1YUGw2uJIS6pgV+P3v//92L17N0ZGRiS5rhIB8vk8UqkUvvWtb2Fubg7T09NiGIxGo3S98Hq90m6HDNJu98qkSxX2I32bCADhMq2uNplMaDQaeOaZZzAzM4Pz58+vGv1uuXEhdqkuANk+Pp8P4XAY4XAYDodDfq8mmbghqJhutLfYZtyHtk6ErSeIy9I7AHoHGanFoR6PR16vTczRK+DnGAyGnjkKrB1iZTOn+rFvE1kf1+Lm07AUCgVpD7Ha8J+NXj81X0RPUb0ntfMq751KWK0YpvLQ6a70FovFYshms4Ll3wx9frOFzkk0GgVwpb2JOqODSux6in81dhhfq2UFOp1OoQmvloPbCFGNSj+HRr1OFc2wWCxCcgkEAnA6naIY1SQ9o3m2A2KTVIvFIsw0OhY3ugd4RtU8DDuHF4vFdTf7VJEaXqequwg/sZkrB4mpc6AYteRyOSwtLWFmZkba9FNXcE9ZrVbpvsw8EXNx2u4hjHAIk6kRpFq5z64fjJj6GW3KlhsXi8WCPXv2CMsFuNLuxefzYXx8HMPDw4hGo3JTNCIqQ4Ibb3h4uKctDGUrFIler4fD4RDMNJvNSoERsUmGkMT51Q1L75sDi86fP49EIoEzZ84IzVat+eB9qQnFZrMpVe7Hjx+Xa3I4HBgZGRFm2GoJTR7UUqmEf/zHf8TFixcRi8W2hEHFJKPZbBaYixHZ0tKSJPNVZ4Izcljv4fP5YLFYhHWXTqdRr9eldkBtZsi9cyvBYnQudu/eja9+9avodDr4yle+gunpaeTz+TUpxH7CHE6lUsHf/u3f4uDBg/j93/99wc0ZHV1LQdysqO1VtExRleZKlhfZS6FQCPfeey9CoZCQYNjJd2FhQdiifr8fd9xxhzisVPqlUgnZbFbybDeyjoyM+P6ZTEba/VerVczNzYnjsp710jJhAfREJKyQ37dvH26//XYMDAxIvlFN4JdKJfzgBz/A9PQ0JiYmpE0W8zUkx/h8Phw4cEAmXrJdCyv0i8Ui6vW60J1DoRDuuOOOHiifDDVCj8lkEvF4HGfPnsWlS5dQLpdvHbaYXq+XQqpAIADgSlsHMqwIkaiUO20CmAYnHA5jdHRUklDb5aHSI9FCPurB4vVxpga9L9UTSafTUgtA7wJY8SxILVUNFddJhRjZsVQ72Y+iYsxsUT8zM4OpqalN7ZKrXTNeW6PRgNFolIpjtZkeDwwNtsFgkDngXD96p2zVz/VhNKk1rLeKcSG2vnv3bmnaevvtt8NqteKtt95ac3NErdB5KJfLuHTpkjQ/pWJUWXVbLf3ycPSW1Up51nKxm3oymRRngrNNjhw50tOHj1Rk5l3W8rwZUZFIU6lUekZBrMVYXU+Yw2DU4nA4sHv3bgwNDclYYjrYao61Xq9jaWlJJrKqc1XU3BX7sdntdvlMwqJMOZTLZcnHqP3bGBGq0yuZ9GfFv5aMoJUtNS7E7g4cOIBAICDdXaPRKNxuN8bGxuSmCX+sFrJbLBZ8+tOfxuTkJHK5XA8baCuUBzc3E9HDw8MIhUISUqsJMBqCSqWC06dPo9FoYHBwUOiSjUYDS0tLSKfTSKfTPZiyx+MRpozdbsfU1JRMsrNYLBLZMGrSFkn2y7EAK4POnnzySVy8eBG//OUvkUqltsS48Pp4XfSmOC+eUQfzVZyvTrZQo9GQKYu8FxppYvZUmowaVe/5Zmahb6R4vV585jOfweHDhyVa/5u/+RvE43E88cQTuHTpUk9h33qlVqvhtddeE0Yh15VEkM0cFtbvutXzrELKbGhJz5nRCNmQr7/+Oubn53Hq1CksLy9jeHgY4+PjOHHihNTDAZCCY+6TG703Gl7mPlOpFKrVKl599VWZaEu21XrWS40sCE+53W6p79q1axe+8IUvIBqN9qA3Kmy+tLSEubk5vP3225iampKoRZs2oHPFCZ9zc3MwGAw4fPgwLBaLtIqJx+Py/JvNptTQAb1F1YTUCMexQPOWMS708J1Op1Sa09tm9Svb6V8PA2YSnJtMxVe3SlTIxm63S9RFT0P7t51OB/l8XkYQ22w28dRzuZy0KeEoZHoLnU5H/l8qlQQSYj6KeZgbWTcqXfYdunz5MmZnZ+W6ttKL1cIEavNOYKUCOBKJyMApdaAZI1UqBTWXRVHZSdttTFShMt2zZw/GxsbEWycENDY2JmSNm6ULk5nF0bRUPDqdDj6fDy6XS5oybrao+1PNtaj5SpIzeGbUnAfrnJh0ZhJfzU3S2yYCciOiQnbcU6RIJ5NJqX0h6WS9904HiDOWgJVBX36/H5FIREoyVAeb11YsFpFKpYRNulqXCTXqoLNOfcHohI1bWfLAnIq6lvxcOsikPq/Wql+VLYfFTCYTotEoxsfHceDAAdlM2sQ9sHqnXQDChPF6vfjQhz6EiYkJfOc735Hk9mYLcyuEr8bHxzEyMiIDkeg1q0qv2+1Ksl7NbTQaDUxOTgpO3Ol0BBKj1Go16arqdrsxPDwsVfpqIWo/Ub0Zhvq/+MUvMDU1hf/6r/9CIpGQ8QebqYDV5CUTg2R98YAw2WyxWGRU6/Hjx2XaYLlcFviO10usnbkbdY8A6JlweisYGKPRiOHhYdx55514+OGHRZlQrFYrfud3fgfnzp3Dd77zHZk8uRFCZUQn7/HHH8fY2Bh+/OMfr4sBdT3Rdgngz3gtPD8+nw+PPfaYzJR3uVzSibjb7Up3X05gbDabSKfT8Pv9sm/4ZbPZpNdcoVAQiOtGnj0jWzIwjUaj0Nhp6NdjXOjkFItFOJ1OPPDAAzCbzchms9DprnQ7Hx0dxdDQkDDlVOiYRvbMmTO4cOGCtHdRdQs/g50bmH/1eDzw+XwwGo0yJ4ptYyKRiJBg9Ho9MpkMqtWqdE9XDU2hUMDLL798TQaeKttCReZCkP7WjyarZVUBvS3i6e3Qe2HiazuE4S7DeIaw9Mzb7bZ4B8ViUTxSepGNRkOYTWouBkAPT50zvt1ut8xtuJEKZAA9FMZ8Po+JiQnMzc0hmUxKxLeVild9vqrnqcKJ4XAYPp9P+qyxMl3FofkeaiElsNLeQgur3grGxWKx4OjRo9izZ48YUlX0+itt5RuNRs+Mj40Q7Rrv27cPzWYTdru9R1lthWhzqdpOC4wcaFxKpZJAUjQiWrRDzcm6XC74/X7Mz8/fMJuUuqfdbsvkSfb/utkzQkNqs9nkDNMgDgwMCMStzROq18Q1WM3I0dFkvzV2K6CuZCU+h+uRTakWrvdj4nY6HYFVbzT9sGXamBdJBovRaJQ57mpil54oPQgAsnm0RYB8T3VULvHMzRYaBc4QYejOZH2xWAQAqQxmMd+bb74pEx+ZkCf3H4BMjmRybWhoCMPDwzh8+LAk7dk3SV27awlrWHK5HL7//e9jfn4ezz77rLSJ2A4iBFuzaIWQQSgUwp133gm/349wOCz1DWwBTkeCSUbWN9BIqREM0NvaZrshsqGhIfz1X/81BgcHBd9WxWw246677sLg4CC+8Y1vrOla1eSvVgjF8RxZrVZ85CMfwT333IPnnntOWp9spIHRVp8DvV62SsE/c+YMPB6PUKRTqZR42YVCARcvXkQul4NOd6WJ5AMPPIBdu3YJVZkOKs/H7bffDpvNhqmpqRtK7vO6GFUvLS2JziIsRMO21v3DaPG+++5DIBCQHCoNzaFDh4SZ1c8pon7h/CEtk1Ab+d92222IRCIYGhqS/oOEmHl2CMeTMajX6wUhYW4uHA5Dr9dLqUImkxHdxeu8JdhitKpqtMIQWcXO6WWTNcUiIu2h4f/V0aibxdfvJ+pnsVKesyfoVfPBLSwsIJFIyAMqFovodDoCh7CTK6MZsmW8Xq9U+tO4qAn7a90zr4HdDBYXFzE9PS39p7Yyx7IaFZq/U50E1jixdYW2GaVaC6HT6XqwZ/V9+32/VSIXwqerrUutVpO+eTd7zUQJyAJSvXwqN7WWYiNFe+2q0tSefZ4J5p9qtZq0uK9UKuJlG41GaWwaCASuyk9wfwwMDCCXywnl/UbWUjUwahV9v3tZi3B/ezweeL1e+P1+GZnBCZ1kdWk/h9fCkRP96tDU/C8nadpsNjk3TBcw50NRkQDgih5iVMS8U7d7hYK8uLh4VXfla63JlkYudrsdg4ODeP/7349oNAqn0ylsECa76/W6FOfk83nYbDYcPXpUlIza/oR1HouLiz3WdCuEnh8PJavKZ2dnhbDQarXwzjvvIJfL4dy5c8jlcpienu6BH9SkNEPwbreLoaEh6Y7MVttaxcB17Sc0LJVKBZlMBv/wD/+AmZkZvPnmm9LbaKu6G1wrumIIzvk8TqcT4//TXJHGlGvEiI75Ob/fL1i4Sq9Vc0zA6sbmenKjUMpaRescaKVcLuPLX/4y3nnnnTV3S+jnLFitVhw5cgRHjx7t2yK92+3K7PaNvl91Dam4CX3RsSKllc1I4/G4IANkCxLCMRgM8Pv9GBwcxMGDB7Fv3z6p1Fc/y2g04vjx4xgYGMDrr7+OyclJGSrG+1/NsVL30kaJwWCQOTHRaBQnTpyQnl40luxAQsYa76XZbGJmZgbxeBwzMzNYWFgQfaGeYdVBY/0a+7LV63WpwGcBLeE4n88n6MnCwoL8vNFo4KWXXkKhUMDly5dRLBaxsLAgQx95rldDirYcFuO/uVnY+6fVaiGRSKBarWJ6elp6ZTmdTuzevbsv9szXsQeQ+jlbZWR4T9VqFeVyWWAFq9UqdMZMJiNJc7ap1r4eWDFYbrcbQ0NDiEajMiRM7SvW77VaUXHjxcVFzM7O4uLFi9LocDtqG9Rr43OiV22z2RAMBnsqiqlgyEwh1MUOsU6nE8vLy3C5XAAgVc/aAWBrNSqbJazB0OZYVKGjcfHiRUxOTt50twQqAXrv6rrQ+WByeCucDfXztbAljQmp6IRqVOyfUxmj0ag4XVpDrUKf3W5X1pyOrPp36vfNFFX/qTkNFYngtZAEpJJf2A6J5AT1PdX7IKSXy+Ukz8v34wA1k8kk8DGdNwBSE0UIb3l5GQsLCygUCpidnRUHhBHgLRO5MNLI5XJ4+eWXZYxrtVrFm2++iVKphGQyKe3Q+Royy0ZGRnrwQmLt5XIZqVQK+Xxe8jLaiuDNED5EKsGpqakePJgDmU6fPo14PI6pqSkJa/lg1CI/dh04ceIEotEoPvnJTyIYDCIajV7Vavt660zDUi6X8e1vfxuXLl3CSy+91LMxttL4aokaFEYgY2NjCIfDOHLkiBAXgJVR0YuLi9DpdBgdHYXJZMLevXsF9mg0GjCbzcjn8zh79qwMBVPx9fXe60avEVli4+PjPdCE+nmEQNg992acAMJDOp1O9iNrsywWCyqVCr72ta9hcnISs7Ozm1LvooWxAYjxUBVqt9u9qm6JHjxHddPp+tjHPoZdu3bh8OHDcDgc4niqKEClUsGrr76KmZkZFItF6HRXxl1w6iNbzzOXor3Wa8l6ngnJNEtLS9Dr9dLLjYgE35fvrToVpVIJzz77LObn54Uyrkb0qkHivvne974n+Vn2PgwGg9i7d2+Ps0oHn+36WTtDY8KzxL3IiGo1CrQqW5pzYXjGmRQ2mw3VahWTk5OScKZFpTdiNBqv8vaBFc9c/VK94a1QnqryYv0JWWDEjPP5PIrFokRX3Dy8RhoaMjhcLhd8Ph+CwaDQB9dqWLjO+Xwe8/PzMvKULWe2WlTjov6MOThWYRMu4T2QRprP52EwXBkWxvk0NpsN0WhUvCu2vOjn6W9lJLuasLjz2LFj2LVr16pQoeocbER0qcKjhUIBsVgMjUYDdrsduVwOExMTOHfu3JqKDW/2etQvCuFMXq8aXXEtPB4PAoEAotEoAoFAjyOivpZ0+0KhIHrG7XZLwbLapaDf3tys+ybF2eFwyHVpITDeg/rvWq3WU2DN/Em/yIX5ajLdWIxK9hhJR4TYOW9HnZOUz+cRi8Wkxx8NMbBC7+fnk67cT7bEuHABGo0GstksfvKTnwh+zp5Q9CK42MAKc4hJLHVT0sNTvS1t++itCPPJUkqlUsK8opHgoVY9C2DFMOp0V2o8yPMn150MGLXQiq/rh5dT1MTfyy+/jMnJSZw+fVra46gGjaI9XOtVxDdK91WhUW585t5oJEwmE5rNJiYmJlCv1wWfb7fb8Pv9eOyxxzAwMIDx8XF0u1dmVszOzspEQy3MoK7bdhgZ4u1Hjx7F1772NUQikZ6WHKoQ6t0I4T6r1Wq4fPky5ufncebMGfFoyWLczJb717o2PgttNK0qKypXzqQZHh7G0NCQVJ6zchyAGI9Lly5JoZ/NZsOhQ4fkXJTLZbzwwgs9pQJbZVSLxSJOnjyJ4eFh3HXXXQLxsrURiQQApJYnl8thcXERExMTmJmZkeGCJD4QCqao7abIdCP7y+FwoFKpCOKi0+lw9uxZzM7O4oUXXsDS0pIM02NvP7UNE7ACPVPPut1upFKpvve8JcZFxedIdyTeR/60dkPxdTRI+Xy+p4cOD025XJao4EZCtY0WtfUCAMFD6ZWow6l4TxTVWJJeq3YlVVs69FOOWmPLtSwUCpicnMT09DTK5bIYZvW9ttuTV4X0bUYzVBLEjbVFZWTOEZJkM0/1b1TYqR9tcytEr9cLC+jo0aM4cOAAIpGIzOdYTQj5sTJce/1rFZ47whvbLdyD6jm/1rnlz202W894b+oCrg9h52QyKUpSp9PB7/f3FNnq9fqbXtP1COn0uVwOmUxGSClqASh1GJvXLi4uYmZmBvl8Xrp30LD0ixi057sfFE29S4On0oxpvFRnH7ialHMja7elORd+V6votRtL6wHn83n8/Oc/x8WLF4XC5/V60Wg08Mtf/hKzs7M4ffo0EomEVNBulTdCZe5wODA6OirsD6vViuHhYSwvL+Odd97pYTOpa8H3YN+xRqMhtERCfdqeQXw9oQIaL4bM58+fRywWw7/9279Jd2G14IphrQpDqLIZmLu25oQ/J4S1sLAgTEJi7KTiMhHJbtrskkuqJftOMWJRk7eEGwhH3oi3upH37/F48KlPfQp79uzBxz/+cTE0/QyLCtM4HA58+tOfxvHjx/Gv//qvyGQyPY4TcynA6kydW1lU5AG4NtVXhcnUFiY0Lmp0dvHiRaRSKbzxxhtCBnA6nbj77rsBACdPnhQdsZV6gsJ7zuVyeP7552W/Dw8PY3BwEEajUVpAXbx4EYuLi/jZz36GWCyGubm5nvkr6tr1QyJoeNkGx+l0wufzYc+ePfD7/chms6hWq7h8+TIWFhZEV9AR1TrqWkPG3mikLveTbSlpv95mAlbgGQ5CstlsmJmZkQiFLQvopTAvs9XRi6q0mOTnonPh1XkS/ZQ5f8dK/kqlIg3pWPBGZUJDQSiD7JF4PC4YeiKRwOLiYk/b+n6Q2lZKv8+ncWRXZH5po1B+aUcXcG25Fg6HQ6YQ0qDR+1Khk60Ss9mMkZER7Nu3D8FgUAputUID2e2uTCrdt28fut0uhoeHJQHM+wJ6lcitFIWuRVZzuLTCZ1+tVqW/GLsxMAqp1+uIx+PCzlxeXhZWIdEERgPqOm6lqOyvQqEgBdOE9wCIDuAZnpmZQTKZ7Fs4qX1v9d98T0LP7C+mRiWcTcPc5vX0lFb4XFa7pm0bc3wjwo0Tj8eRuN2pRAAAIABJREFUz+dRqVTgdrsxOjqKTqeDc+fOIZ1OC268ld1umQeggpudnRUcu9vt4sKFCxLeUsGtlvhScwpnz55FLBbD4uKi1Hk4nU4cOnQI7XYbzz33HDKZDObn51GtVhGLxeTQcYol2UbqZtRy+/sZnJtZt2tBDVpIjj+jx1Ov12G324UZNzc3J61P6DAUi0W89tprGBgYkKiQRiUWi6FWq+HgwYPYtWuXtLPhjO/JyUlp3Kheg/Z5aBOkN6O42Vz0kUcewcjIyKqtiZiX+/u//3ssLy/j05/+NDweD44fP47Dhw+j2+3i8uXL+PGPf4xMJiPPle/H57gdyvJmZC3nlHDSiy++CLfbjfPnzws0ZrFYMDw8DACYm5tDpVLBzMwMut0rY4/z+Tz++7//G81mExcuXEAulxPa9VYaZbW+h33d/H4/7r77bhl5TjSC01RjsRgWFhakMwXpyQB6YF8qeQDCDhsaGhL9wSGCBoMBb731FhwOB/x+PwqFAk6ePIl4PN5TsLtR67Itkyj7QWDACq5H3Jw0Qza2zGQyqNVqMkUtnU4jn8/3JPa32ovjPTAM1xIPrgfDUKhsmVtSi8yYY2g0GpiYmEA2m8XMzAxKpZLMvFehH6DXiPQzIJuxTtfzPvsZGG1Iz1CesBbvg5g5m/0Rn2Z+ptvtwufzSbRHrj+JAwzj+8lmRnQquUAVerCcpzM5OSlKlEWBFosFHo9Hck58nfr9/4q0223xsEnFZf0O0YJUKiU5DQDSd4xMyXQ6fVU3h60Wwtw0FOz1ReOgtnhRoxXqREq/SIUOjcPhwP79+3vel3RtOqFq5MIpluvRn9f6+y0tolSNh/oFQCipVCpWqxWHDx+G1+vFvn370Ol0cObMGalrYcKX8yi2OkFHCIxQRyaT6TGafJh8kP2uTV0TsjjYJZWN5fjg+X965WrxKRUVsHr42g+W2khjfCOes/az+PyZI0mn00LJ9vl88Pl80vKDMFgqlcLrr78u813ILLNYLDh06BBMJpOE+qdPn5a1UyuztdewWhRwM2vDfllnz56Vegb1cwiF/ehHP8KFCxfw7LPPwul0YnFxUSq22dA0nU5LLRf3EqGe/ytGptPpiFOhdonW6XQ4ffo0dLqV4lnWcLDRKRll21lAzL3FaysWi6hUKuJIARAEZHFxUWpy1NlEap5SNTRGoxFerxfhcBgf+tCHEIlEsH//frTbbZw6dUoq63l+CCMWi0Vx2NdrcLfduDAU9Hg8ACD4MnsIcXoix9i2223YbDYZEuX3+9HpdBAMBmGz2QRz5dd2HTBVOTOkpcJU6dDXyneojBe1RxpDdzWE135pr+VGrnc7Kbmq0LCykFSdsqkyiYAVL5+5No4H8Pl8gicbjUZp106v3+FwCEmC66p6aFrvb6PXpNVqYWFhAT6fr+dzWVCXyWRw7tw5mafTarUwNTXVY0DS6XQPUUVdk/9LwnWjk6GKShCiY8cRC+rsn+1wQlVRP5d7gdfEiIZ1cXQwmIdUUQkKDZXZbEYoFMLAwACCwaAUqJNcVK1W5Uwx50RmGOteNkM23biow8E++MEPAgCee+451Go1BINBhMNhPPbYY4hEIlK3wHkdPPytVgsmkwkf/ehHUSqV8MwzzyCRSMgkPS3M1s9D3owNRVhD/Ux+v55nSeWq5eozFKYXtppxWu893SpKibCnxWKRQWDsCMsGeVrqaKVSgU6nw+XLl4Wz7/F4cPDgQVgsFoTDYaEn12o1VCoVJBIJ6HS6nvYZqnHRUmI3UgqFAn7yk59genoaDz30EEwmkxiMP/mTP8HZs2clX0ia6V/8xV/AYrFIs1a9Xo96vS5NXK+313+dZbV71UKrauU9ISOepe2Cz3mdJKXw+TK/GIlEoNfrMTMzg1Qq1TNAkQQXtfcgHfZwOAy/3497771X0ge1Wk3g8kQigXK5LF2VL126hGq1KuMMCDPe6HqsZd9tqnFRFSIrlEm1BAC3293zxZ8Hg0Ghl5I9xeQurT2ZWDcSuahMjI2Wfoas38+v9XotFENPXT0Eq+Wpfh2EMB8VP6nIKuSnRoaEuMrlspAq1GIyvoaFaCrLbDXYUP33RjkjrVYLi4uL8Pv9iMfj8Pl8qFQqiMfjOH36NGZmZnq88E6nI+1BGNV7vd5rkkF2pFfU88MomBHPdkYtwMrZZQ9Bg8EgThCr4TklknuebC+eB+5NRi3aL0a8ZMap819oYNSvmzW01zorG2pcqMS1kAYXkEaC40wHBwdhtVpx6dIlxGIxTE9Pw2w2w+v1Ynl5GefOnUO5XJbOnq+//jqWl5dx+vRplMtlKfjpd8P8bHLdAUjdxLWu92buXc2h9GtXo/0/YR5ghRDANvLqRtR6Zuo1b/Rh2Ywor5/BZY0Qw3Kj0YjZ2Vn5nQr/MTpVIQ4ai0ajgaWlJen0YLVakUwmkUwm8eyzzyKVSmFiYkJ6a6nPeqOYcqsJjUsmk8ETTzwhCdbl5WWZXd5PGLnSiVKdj8283l8HUem+bMnEiPhaDsZapN90zRu9NrPZDLvdjkgkAq/XK8P6Tp8+DYvFgscffxy1Wg3/9E//hHQ6jdHRUQQCAZw+fRqNRqOn1octkQBgenoabrdbau1ef/11gVNV6J6V+Wylfz3HW3t2tVCyxWIRlEYrmw6LqZ4nlQjzEfw3LWixWJQ+QMQHGcJxdnq9Xu+Z7XA9y6tlWaz2NzdrvdWvtbyXNjLh+2nf/9dJeK9qEWg/o68ywvq9XsWtGcWyaWGxWESpVBLqqTq7Rgszbqai5v1dvnx5Ta/jNf1vLJK8FUSN/jcSQrzZs0gdQd1HCC+dTvd0miCEp3bRpjFQ85U0mmyRQ12by+WQy+XEIWNUcyP6cC33ca310K1lwXU6XQrA7E1f2a0pY91uN3Sjf7yzFiuysxYrsrMWK7KzFivyf3Et1mRcdmRHdmRHdmRHbkRuPj7akR3ZkR3ZkR3RyI5x2ZEd2ZEd2ZENlx3jsiM7siM7siMbLjvGZUd2ZEd2ZEc2XHaMy47syI7syI5suOwYlx3ZkR3ZkR3ZcNkxLjuyIzuyIzuy4bJjXHZkR3ZkR3Zkw2XHuOzIjuzIjuzIhsuaeovpdLpf63L+brd7w42DbmYt1GFi/TokqP1/tC3CtX2BtE031WacN9N9YbPWQu2LZLPZAKCn7xfQe+3sXcTXqbNy+HfsPWYwGGCxWDAyMtIzLzydTstkvxtZE20vqq3aF9cS3jPXzul0Sj++rZxpdCusBff4Wjv6cv9wwqs61mI9shVroe55i8WCYDAIADKBl92e2bcxEAhAp9OhWq3KqG/28NNcz1W9wfoNE7zRtem3Fls+5nit0k+Z/G/oBLyaGAwGRCIR/MEf/AEcDgcuXLiAdruNUCgEi8UCp9MJj8eDe+65B5VKBV//+tcxPT2NbDYrLbNNJhPGxsag1+uRSqVkA7BhHTvvAjferG8jmvtd6z30ej1cLpccFo/Hgw996EPQ6XT45S9/iWw2i0wmIw1K+dxNJhP8fj+CwSAefPBBDAwM4L3vfS86nQ6efvppLC4u4sUXX0S9Xkc0GsWuXbvw5S9/GW63G5VKBdlsFt/5zncwMzODV155BdVq9ZoHxmg0IhQKodvt9qztZoq2iaY6HZPX5PP54PF4cN9998Hn8+HAgQOoVqt46qmnEIvFMDU1Jc/8f6toFR1nzqui1+vhdrtlbku73RYDq30fdcqt0WiEx+OB1WrF0NAQzGazKOGzZ89u+/jjfmIwGGRA4ujoKEZGRvD5z38eVqsVp06dQj6fx/T0tEw8HRoawl/+5V8iFArBbrejUCjgm9/8Ji5fvoznn39eOihzbc1mMwYGBuDz+XDbbbdJ48tKpYJXX31VOs8DkDlJ5XIZrVbrhtbqljYuWuuq9cpvpY2wFmHkYrVaEQqF0G63ZapiKBRCMBjE4OAg6vU6du3aBbPZLAO08vm8jIRmy2tOsms2mzK1bjvu6Xq/5/ArPrt6vS6dj6lU1S/+PadKhkIhjIyMYHBwEN1uF3v37oXJZMLo6Ciq1Sqi0SiCwaA4I5yRwbkwNypbOTtntc/Qdm7mM7VarbDb7fD5fOKM2Gy2Del0eytIv0hVHTPRbx/dyHvydXRYzGYzbDabfOf4hlttdo523hOnrA4ODsJsNosDxOFiLpdLZmOZzWbs3bsXrVYLZrNZDIU6zoLrp86D4QA9DltT5XqdkFXZEuOyXq9YHYPLqY0chsNW5hthYLbSSHW7XRQKBTz99NOIRqN45JFHYLVaMTs7i0ajIZPlbDYb7HY7vvjFL6JUKuHcuXPI5/OIx+MoFou4ePEiSqWSwGscIW00GlGr1ZBIJHrGJt/Idd2MqBMd+/1ObTMOXJm4+dRTT8nzBACLxQKz2SyT97jBW60W9Ho9QqEQwuGwREAPPPAAjh49CofDgeXlZezatQsej0cO0tNPP42FhQWcO3cOqVSqZ7bFatJqtZBKpbZszMFq8zJUT5xjkZvNJhKJBPR6PQKBALxer7Rp3+zrXW90f63Xqc6iCgXz3+p+UZW+yWSSoXFqG/l+M45UY0Vv3WQyweFwIBgMotVqIZvNIp/PI5lMotFoyNC67ZZOp4NisYhKpYJmsylG1W63Y/fu3QgGg5iZmZG9z0msjPytVis++clPYn5+Hj/96U+Ry+XkvTlLKh6PI5PJyEjocrmMRqOBZDIp506v18vEXb73jcimGBdtpEG50TwAvQyXywWTySQzsTnnIJvNyrwGAFfBZtzQWs/mVtgwFCo6r9cLm82GpaUlGI1G2O12WK1WGWPKiGZ0dBRutxuNRkN+B/QODVMPqXqotuK++2049Rq0v+ewsG63Kwc+EAgAuDLUrdlsol6vyz6gJ2YwGOQerVYrWq0WhoaG0Gg0ZK3UIWKJRAK5XA7VavWGPVLVS7xZWa9jpRobeq4cgOXz+eR3NMC30t5eq2jhMG3UooUNGanzfF9vr1NBqv9n7sVgMMBqtV41pG+7RTu3hdAeIy86lVarFVarFT6fDz6fDyaTqWceEkfMa/cy14lQaj6fh16vlwGMquHmTKXV9PpqsuHGhYaBihJYmQuvjq1dLaQlDOJ2u/Hwww/D5XLB6/VC9z/T0wqFAp599llUKpUe3FCv1yOXy4lioPKi53u9z90q0el0sNvtuOuuuzAyMiKwl9lshl6vx+DgYI/3YbFYYDQasWvXLhmCxfGnBoNBxj0Xi0V0u10sLy/L8C11SNBm5g74OVrngYaA18LNyY3L+x4ZGUEgEMDx48dhNBolOjt58iRMJhPuvvtuhEIhmM1m8WD5vkajEfv27cPy8rKMc81ms0in03jrrbcwPT2NXC7Xc1huVG52zeg9qvesNXDaiGU1IgOHSC0sLMBoNCKfz6PT6SCVSiGZTG56bmgzzsxqJBUKFazJZEK73ZbzXCqVegbJcY365V1IHCHBg1ExAIGU6aiRALLdwms2mUzw+Xyw2WwYGxvD2NgYPB4PXC4XnE4nGo0Gdu3aJYYlHA7Lvar3bzKZBP3R7j+dTodWq4V0Og0APboSgIwP1z7/G3Ga1mxc+l2g+oGqtaV1pXelznjud9CopNxuNwKBAKLRKHw+H4LBILrdLpaWlmAwGODxeOQzaFyIQzLco+fK5BM35XbO0VbXh7OxjUYjjEYjnE4nDAYDzGZzX4+Zr9XOwub9LS8viwHfjnnhWqOtzZ/Q+1KjSkIfTqcTbrcbbrcbJpMJzWYTZrMZgUAARqNRIheLxdLjsWqnVKoJXo4XLpVKolDWGz2sV7RQz7XebzWjp/VcGZXlcjmZQvjrIKrzQfhntTUhXKN9pqtFQCrywT2oRn1cW67zdq4pr9lms8FiscBms8HpdMLhcMBkMqHRaGB5eVmuldfucDjEkaFwf5Ax1k+0EUw/51v9/1ryUWsyLlSK/TBJehjqQSC8Q6/c5/Oh1WphYWFBZqerWKrRaITb7cYjjzyCaDSKJ554Ah6PB36/H81mE6dPn5ZcAr1Us9mMPXv2IBQK4YEHHoDRaMTU1BQSiYSwgywWC6rVKp577jmZHa1dtM0UVckyFK/VaqhUKqhWqzAajYhGoz2zsWl8SaFdXFxENpvFO++8g2QyiYmJCZTLZVGo2rHPW8Fyoqym5Bh9MUphXkhV9nq9HuFwGF6vF61WCyaTCYcOHUKj0YDVakW73YbT6YTVakUgEIDH45E9U61WUavVsLi4iEqlIpHtqVOnkE6nEYvFZET2VjsUap4JwHVxfP49HTJ60IQMXS4XzGYzHA4HOp0OXn/9dQBXvG+/34/FxcVtuc/rybWuRzW8PBs0BqqhoJ4gLK6d2a7mXVSjAqBn7axWq8yw1+l04q17PB4YjUYkk0khxlzLOdtMqJmIz9GjR2Gz2QQatlgsaDabeOmllzAyMoJHHnlEUgTFYhEejweNRkNyI7yPyclJTExMiGOtXbe1El24L2/kdRsCi/Ghqol31fumJ8Lwk8aHD4kwB5kbXq9XqJderxculwvNZhPhcBgGgwHZbBa1Wg2NRgMWi0WSWQMDA7IBPR4PEomEzJauVqvI5XJIpVKYn59fU93DzYganhqNRthsNlGavIZarQaTyYROpyMcfCrQUqmEWq2GWCyGRCKBTCYjOQTCjfTgVUO9lYwn9fP6/UwNoak8GAGrSoH3QCVrt9sF/6UjwXUCViJirqO6npVKRT7vWte4WcL9TmOx2nNQHQ9GaQBQqVSg0+ng8/lEuTDKJZSh1+uFzKBGhZsh633v1ZAO9bkzl+B2u+XfZBN2Op2riBj9HFuuNx1g5lKMRiMikYggBVxLlRDALzVi0uZ5tkJUw6iuQ7vdRq1WQ7fbxdzcHBqNBg4fPoxOp4NMJoNyuSwpiGazCYvFIno1FothZmZmw+C+tazFmowLPWlVaTCE48Y3m80Ih8MAgGQyiW63K+FaJpPpSeBqIROXy4VgMCiGgoaF2Pzhw4fRbDZx5MgRgX+MRiOCwaB8tk6nw759+9DpdHDs2LErN2k0Sj4inU7jz//8z3H+/HlcunRp0w2MukZ2ux2HDh2C2+1GvV5HJpPBuXPnYDKZkMlkYLfb8dBDD8FsNmNhYQGlUgmxWAyZTAa/+MUvkM1mpTiK37XQwK1CYiD8ybxRu91GoVCA2WxGJBIBAORyORgMBpTLZej1evFIZ2dn5UAtLy9jbm4OgUAAH/jAB2Cz2cSoAr2OC4338PAwHA4HYrEY8vm81P5sVeKbORKbzYahoSF0Oh2BatXogmtDReZ0OvHggw/CYDBgYmICFosFDzzwAAwGAy5evChMHhI8rFYrcrkcstks3n777WvCH+sVntH1GpZ+SIdKyLBYLBK5Hj16FFarFc1mE7VaDefPn0ehUBC0gvemOitcQ+4rl8uFsbExOJ1O7Nu3T2BW5jqbzSZmZmZQLpeRTCZRq9VQrVZRr9dFATPHw+hF+7mbSVWmMV5YWIDZbBbo+9y5c+h2uwKXPfXUU3J26GTt3bsXJ06cgNPplDTAP//zP+Ott97qYYptlaw5crkWrdDtdsNqtSISiUhBn+odqFRC1VPh5vD7/XC5XBgYGBBvg54avVkVMqK3YbfbezBa4vJ8rRpFmUwm7N69G51OB/F4vCfhv1nCqMxiscg91et1AEChUIDRaES1WpXrpjSbTSwtLSGZTGJubg7lclnuZbUk+q0k/bBb1fjRK+N9lUolLC8vS26ByoNeHCMYNeLtdrtSt+BwOGA0GhEOh2G1WnHo0CGk02lMT0+jVquhUCj0QIebJdyrTMh2u10sLCzI/WqdM0LIbrcbHo8HFosFBw4cgNlsxtDQEIArjpnVakWj0YDD4UAgEIDFYhEiA1GBjbp+CiPNUCiERCKxrvdSjZPqUKpIRSgUwvDwMGw2myTvq9WqwD7Ayv7R5u0IdTFHOz4+Drfbjb1798JsNvewEqvVKubn5wFAaMdEQdQ9p55FlVyx2UJDQWSC+omwFmH0YrEolGp+J+SuUrwXFha2rBhYK+syLqrnQA/TbDbjPe95D7xeLwKBgHgE5JB3u11RrH6/H4FAAPfeey88Hg8ikYgYJW4SUuzUjcSFJ3TicDgkqUXjQlxQhduYFKX38sUvflEWfXJyctMXn6G53W5HtVpFuVxGoVAQr5UVsoODg7IWAwMDyGQy+NGPfoQLFy6IMWJSm4VfrJjlAboVhYaQ90uiRavVgk6nw4ULF2A2mzE7OwuHwyFKJhKJwOPx4PDhw7BYLDh79iwcDgf27NkDo9EoCoFsGcKyx48fR7fbxW/91m+hVCrhpz/9KeLxOJ555hnk83lpN7NZHii9aZ/Ph0OHDkGn06FSqUgeSIV5mGd84IEH4PF4MDIyAr/fj/vuuw9msxmlUgn1eh0+n0+ibIfDgdtuuw2dTgevvvoqCoUCgI0jIKiwkNFoxODgIL7yla/gq1/96preT3sGKdwLoVAIHo8H+/btQyQSweOPP95D6piZmUEsFsOPf/xjLC4u9pxT6h6DwQC/349IJIL3ve99GB4exnve8x7YbDa5B1VBZ7NZvP766yiXy0gkEqhUKhLxkRSjMhJV51T97M3YO9Rd7XYbyWRSPlPNaS4vLwukxzzk+Pg4PvOZz2B0dBTBYFAQHJ1OJ1DxdhSGrtm40FtWhRafXg6ZTwx7iTsTKqCHMTY2hkAggGAwKIfRYrHA5XJdZYGJvRLeUL0IdUMQ/lIxVAqVnNfrRbPZxMjICEqlEvL5/KZTdZmHqtVqaDabkmjmARkYGIDf74fVapWchNVqxfLyshRRqZ6/lk2jeuObib2vR9Qog3CZSpcmU4WFXMCKx0xIVKfTIZVKoVgswu/3w2w2yz7g2hJrVyvWXS4XxsfHodfr4ff7hW662ZTTtdSfqJGt1WqF0+mEz+eT/BudE64T83bLy8vSheBmlQcNACnPvG7SvdfjtfP9eG10Jkiz9Xq98uX3+6Uo1GKxoNVqIRqNwmw2IxqNCu2eUCshepPJhEgkgoGBAYTDYUSjUXi9XoFigRXjsry8LKQB5q34c+oPrR7oVzO2mREMzwqNiLZ8gmef+3zfvn0YHh6Wokpty5zNjtKvJWsyLkw4FovFns1MBXHhwgUMDQ1hZGQEDocDbrcbnU5H4K+BgQF4PB4cP34ckUhEMFYqBXrlXBwVNlleXhaF3Ol0hLut0+kEmyc2W6/XYbVasXv3bilKVDcIG8B9/OMfx/nz5/HNb34TS0tLG7isVwspjtPT00Il1Ov1GBgYwN69e3HHHXfA6XRKLor3yPC8VqsJfMfNRSxfG85z7TbLw1qL0JiwwhiAFDSSAeRyuWC1WjEyMgK3241oNAqHwwG/3w+dTicEjEQigW63i0uXLsFqtcLr9cLj8eCuu+6SFjGECKgUXC4XHnroISSTSeRyOSwsLOD555/fVFp6u91GJpNBvV7HuXPnAACXL1+WZwisQCzcr0tLS+h0Oti3b58o5G63K3UNLperp76HBJW3335bkrxrVXpqhMKo/t5774XdbkexWJROD41GA9/4xjcQi8XW9P52ux0nTpwQlmA6nYbBYMDw8LDsbbvdjttvvx3RaBSBQECcKwBwu90YGhqSRPZzzz0nEGqz2cTU1BScTife9773YWBgAEePHpUODVqCA78bDAYEAgEx1GSeanNhfA2NjbpOmw2Pqee23/40m80YHx/H4cOH8Wd/9mcIh8Nwu92Sd+TrVLLIdsi66ly0GCRDR4fDIUU8ACQCIdMnHA7D5/Nh165dPcl6Wlu1LoahYKvVQj6fR71e7ymK1Ol04s0XCgXUajVpobK8vCyJL6/XC7vdLhi4SiAIh8PIZrPyuZsljKYASN6Ah8vr9UpzOnpVXAM1WlP/r+Za1KiR3gzXht7dZkJAN3r/vHb13lSvitdORwNYgSHooTN5SYgVgNxru93uYQypysVms8HhcPR4gpt9v6w9ymQyACAGtt/fMpKlE8ZiUeaTgJU8IteF1HN1Xa8lPLfazg6qEG1glwOj0YhUKiVU+PU0xmSjSNanAZD7JPXe6XTKc+cXsBIpuN1ugT37XT8dNeZQuOfVBDwdGZPJJGiKmrtTIxbVQesnWxEJrPYZ1LWRSAThcBihUAhut7tHd/D1au5vO2jqazIu9EJVL5lGIRgM4qMf/SiCwaBEGHfddReazSZSqRSsVive+973wu/3Y3x8XJLbWsuqMmvobf785z9HrVZDKBRCp9PB/Pw8qtUqMpkMarUaFhYWxKhQYdFDGR8fxx/90R8hGo1ibGxMlDq731ar1Z7IZqOFyiMejwNYgQYcDgcGBgZw4sQJjIyM9GwOvqZarSIejyOdTouBqdfrV3lkpKQ6HA7cfffdMJvNKBaLKJfL4jH347lvlfBaycHvxxxiMaXVapVrL5VKohBIEKGR4TNrt9tIJBJotVpwu93ynlTwVCqdTgfvvPOO1Adt5mHj5zcaDUxPT8t19qO30jDMz89LF1y/3y/0Yr/ffxVEzCLaRqOBkZER6PV6XLhwYdXnq9df6UittmzP5XISNamJcjLrvF6v9HmrVqtyttYijUYDpVIJTzzxRE8r+JdffhntdhtHjhyRPnCEh9XaFzoJjETy+TwWFhakvqtaraJSqeDdd9/F9PQ0zp07B6fTidtuuw1+vx9DQ0M9xpn1LW63W9hTapSg/b6aTtgumIlQeSAQwIMPPoiDBw/2oB3q9fEaw+EwAoGA1EFtpawr56LF9MnYYJV1qVSCTqdDOByWTWOz2aQIjol9bd6A3lqz2ZQq5EQigUQi0aNUs9ksyuUyLl68iEqlIq3a1VCSm7HRaCAWiwnsooa+9GhVOuhmCCMXHhxuErWDqep1sL5FpR6rxkSLo5IhFQqFMDY2JvTPSqWCSqWy5t5amyGqArve3zSbTdlTfJbMvxAjp6JSoVSV5UPlvry8jEKhgHw+j2w2K4oNxCMrAAAgAElEQVRsq7xP0qtVYor6+06nI1XU5XIZ+XweTqezh/mj4ug0mCp9n8QWLTOLn8v95nA4sHfvXuj1eiSTSVQqFSwtLfWw8Ng5l4aF+an17B3en8vlgsfjEchyeHgYzWZTDCeAq9ADOgfNZhOFQgGpVAqlUkkKj9V9QFZqrVaD3W6H2+0WwgyjFDLTaKxYDsG9Q+Pfb1+oMNl2i8lkgs1mE2bhaqLCql6vF+l0essRjDXnXHw+n8w+UKusCU8x8Wa1WrF//36Be9RGlNqwU6WHtlotFAoFFAoFvPHGG0in01IMWS6XAUCK5HK5XM+gKRUqYuI2mUzi5MmTyGaz2Lt3LwAIFBcKhaDT6RAKhXqU+0aKeuDpRbNOYXR0FENDQ/D5fD1rUqvV8MMf/hATExNIJpM97CLtBmfng89+9rMYHx/HsWPHpKamWq3i+9//PmZmZvDDH/5Q+lFtp2gVH5UIvdx2uy2V1KTbMnndaDRQLpcRj8dRr9cRi8XQ7XYxPDyMYDAoyWgmRN944w3E43G8/fbbUjxLaG0r7pGGsl/EQuGeLRaLmJ2dxQ9+8AOEw2Hcc8892L17N0ZHR3uYkOr76PV6cZjsdvtVxA+VpReNRrF792787u/+rhQYJ5NJPPnkk8LEajabmJ2d7TmX6vlaq3Ll/VOhOxwOuFwufOADHxDD2263xcioZQbtdlsaj/6///f/MDc3hwsXLvTUpVFvTE9Pi96xWCxIpVJwOBx4++234XA4MD4+jnA4jBMnTkgJBFtMkcrNBL9WCC0BvcPFtsPQEFpUc1PUcyR/ACvoT6vVwp133gmv14tCoSDO6lbpgLVOouzLp6fXRIiJOKrT6ZSEOjdYPxiMUUelUpHEbTablZYnxWJRlAsAKbKiZ6XF8PngmXNIp9PweDyoVqs9HguL7nbt2oVf/epXN7OON7R2rGdwuVzYs2cPRkdHexrNMcKpVCqYnp6WRLaqrFQviv8mY2ZoaAiBQEDYRHa7HXv27EGr1ZJnsN3GRStkSnHfWCwW2O12cQBYx8QEvsFgkEi2VqsJ1Ab0dsWuVquYm5vDwsIC4vG4tFPfDqVwvc9UczTpdFoqrJkjUpW72o1Br78yhqBWq0n7eDUBrUYtbA5K8oTai0ql+KvjDvoltNcqvF5GBtQDvD8qRzqovN/l5WUsLi5iamoKc3NzmJ2dlahTvRbmn0gqIgxPJUqDxjwW6/G8Xi/C4TA6nStV7mqORqUga6Ph7cxfmkwmjIyMYHR0VDqAq/pAhYKpHwOBgOTzeGa2StZlXFQ4y2AwSEJuZmYG9Xodjz/+OPx+PwYHB3sS6VphpJJKpZDJZPAf//EfSCaTgqtmMpke48HNpUIJKsylPcTdbhfVahUvvvgilpaW8Oijj2J4eFimOAJXGC1/+qd/itdee21dC3gja0YIw+l04v7778fY2Bi+8IUvIBAICG0buGI0JyYmcPnyZTzzzDOY+//svWmMnWd5Pn6dM2ff99nPbN7txHGcDUhKCFEpCYSWliKE1ILU5QtCokJqxYd+qRBqP1AJtaK0qmil/gSp2AoEKsKWBCc4ix3bsT2efc6ZmbPv+/774N91+znHM7bHni3//9zSaMbjM+e87/M+z71e93WHQkJjsl7kwgPKtBhnfLDZVKfT4cknn8TBgwfx4x//GOVy+Sak324KkXsTExMYGBjAqVOnJEXYbrdlMNrExIQUMePxOObn51Eul2W2CYEcVqsVAGQC5ZkzZxCPxxGNRqXmtFvImduJCmywWq04efIkAoGAICGpONSUkMlkwsmTJ3HgwAGsra0hk8nIs7fb7aJwdTodxsfHodfrMT8/38VVxzlBKhxXvZ7e69vsPZFA1mAwwGazddVUmNFgDUxtLI7H4/jqV7+KmZkZLC0tdbEZ8+8J5lAjNAAyviKRSMDhcAjIpd1uw2Qy4ciRI1LnDIfDqFQqSCQSqFQqUg9lfUqj0UivER2U3TAwGo0GXq8Xf/mXf4mJiQkMDQ2JE8m0XqvVQjKZRLlcxurqKhqNBiYnJ+F2uzE/P49QKIQ33nhjxwzMpgv6ROXQwDDcJQyUm4j/pvepKn/VO6nX64hGo1hdXcXCwgJWV1eF2JKRCulb6I2wBnE7r0qF8arsuOr9ANjWgj6F6TACCziKlGtD4SHL5XJd6KiN7o/TCB0Oh7yfWhhlz8T4+Djy+bwUZ/eCcP+MjIygv78fY2NjsFqtkk5hzpws2OxTYPqEtTki6qicuK/oadKL2ws589uJeobYra6yXlOpkTeL9ZaDBw8im81KhOp0OgWmzyJ2s9nE8vIy8vk8YrEYcrmc7IftYi5gNK46iWr/SaPR6KqDtVotrK2tYXl5GTMzM1hdXZU0PIW6RI0oAEgtV3Wu1J4dGiEyegSDQfT19eHAgQNwu92IRqNotVqwWCxdxoUpZo70IAJ2p4XjzQcHByUaUx19phJzuRwWFxeh1Wpx6NChm1o8dko2ZVxarRZKpZIceqYwTpw4AZ/Ph4cffhjDw8MYHh6WvHkvdJnGoVar4fLlywiFQvjhD38oEwPZZKiiOCi386rUz2FBmEqdhT61c5cb/7e//a1QTGyHMDUxPDyMP/iDP8DIyIjAo1XDotVeZwhmn05vAyivmV6b0WjEyMgIDh8+jImJCfh8vpuGBbET+rOf/SwuX76Mr371q4jH47sevfCg+3w+fOpTn8LY2Jgcdho/FrIJMw2Hw0KXQ7hsq9UST5PpEc5KP3XqFFZXV7G8vNwF3d2rwmZaTiO12+1Sj5qbm4NWq5XeMLUYbbVa8fGPf1wULoXKulqtCqLq5z//uaQJWW/YqJ63FaKm2HiuadASiQRKpRIuXLiAZrMpSNOf/vSnWFtbw8LCwk0OIa9TPesmkwlmsxkHDhyA1WqV9Cl1ANeTOolpQYvFgkOHDuH48ePI5/N4+eWXxQGjQeZey+fzyOfzSCaT6zIzb7cwnXfgwAH4fL4uAAulWq3ia1/7GmZnZ9HX1ydjv5vNJsLhMJaXl3fUKG46cmEYSr4hlcHY6XRKxNLrkQPdvRuVSgVra2sIh8NYWFhANBqVZsm73ey9r1dzvMzbM3RW/4ZF860WNe/NsJ39Pesh5dgcx8L2nX4GgJsUp+rdEZbd398vda+9IiywEiqr7hteK9OnhJ4SBUaPPpPJiHHh82Yenym2vUhHv56wt4uGkyzPqVSqixlZdUz4jPkzcCMHz/tOp9OIRqOIRqNIJBLCs7bdQgi50+mEzWaDRqNBOp0WQEYulxOi0lwuh1KphLm5ORm9u941qoZFp9MJIorDshwOh6QE1f3E58814n6z2Wxot9sylJCG2+/3C+NILpcT9CujwZ0UVZdt1IXfarWEBdlsNgMAEomEoE/JrLxTsunIpVKpwGw2w+1242Mf+xjcbreE8C6XS7wqdqSrBTHCGtm78dprr2FtbQ2Li4tCWng3nuVG9RwiVQYHBzE8PCxMy9xwvC52OG+lqMVUKgIehF7oMSOoXC6H//iP/8DCwoIUGXtBCiqkld7fwsICzp07h6mpKRw9erQLOcK/s1qtcLvd4uXv9EZbT6j8KpWKRBb8fa+0223Mzc1hYWEBV65ckdni7XYb3/ve92C32wVF4/F40Gq1sLy8jHQ63bW3dvueN5JO5zrF/IULF1Aul7G4uAin04lkMolCoYCZmRmh31cZxTcSdZ+USiV861vfwttvvy3NkDthWLTa67PXf/rTn8JsNsvMkbfffhvFYlHYJXj2CDjJ5XJdrQUbvbfBYIDL5cLTTz8Nn8+HsbExGX1dKpVw6dIlIXo0m80oFotS06JBbjQamJ2dldkuVqtVWBEeeughaewlBDocDuOll15CNpvd9vWjUHewPLDeHqajlcvlukoAL774ItrttjBB71koMnCDa4iYdSIvGBGoyBA1AqEiYYGPVPL0UHpnNmyFqApd7R3oPZR30yC2mc83GAxC4UGvSPWm6LXFYjGEQiEsLCxseE29RoYHaW1tDU6nU3LXKvyZ0MT10Da7LapXpV6bun+Y2slms1KLojFqNBoIhUJwuVxotVowm81dSnW3SPvuRvic8vk80uk0tFqtDMVjrwj3Tu8z3MjBIvpwZWVFuu13aj34+cvLywKPr1Qq0tir7lXeA/fsreqMamuD3+9Hf38//H4//H6/8PepE1mJROQ19V4jxzKwx4dev8r31m634fV6USqVxEHdKVH1iHrdvUixTqcDu90Oi8UixiYSiUgEvNPR+101URInXiwWYbVacfz4cWi1WkQiERSLRYHJqQaHBfxUKoVvfvObCIfDMk+BEQ6w+YaljTw4rVYLm80Gl8uFiYkJBIPBmygSKNtlWJgPdrlceOyxxyQnrPL/cO7C1772NczNzeHll1+W9KD6XusdCnp9qVQKr7zyCtbW1nDq1KkuL4fUIi+99BLm5+cFGbQXPHh23l+6dAmlUgmBQECow1XjmUwmEYlEcPnyZVy7dq3rHjjrgrUlh8OByclJ6HQ6oY0h7JzPZC/c+3pCdFUul8P09DQGBgYQDAYxMDCAxx9/XArNGxkSoNvINJtNXLt2DdeuXUM0Gt3xRtpW6/qkxHQ6LdfGe+z1wPlsep1S9f9ZQ2Rv2NGjR+H3+/H+979fFCqzIwSA9PX14dSpUzcVwXl91WoVkUgEq6urmJubQ6vVwvDwMHw+n9BUkdVgYmICZrMZiUQCly9f3qlllLQ2hyWup/MItHriiScwMjKCV199FeVyGTMzM5Jx2mna/U0bF7LPskDucrkETptOp9HpdCQsU3mAGPYnEgmsrKxgeXm5a9QxcPMM7K04CMyhqla/V7azgZKAAo/HA4/Hc1PUQrTM0tISrl27Jj09d6oECUuNx+PweDyoVquChuH7l8tlybXfbepxq0UtRrKuoLIiAxCPa21tDUtLS1IAVjvG1R4nu90Ot9sttOOs0yQSCZleulcM60ZC1FsqlYJer8fIyEgX3H8zUWe73RbDvFsRHHnfbrfmarRN4b+pTFk7JbprcHAQPp9PjEYmk5FGWzpodLLU9+Q6qAwAmUxGyEMdDgeMRiPy+bywbwPdqeWdjFyIcOO1bEQlpNPpMDY2BuD6wL1UKoV0Oi0Ry07v+00ZF/LzeDwejIyM4KMf/Sg8Ho/AR4mqOH/+PNLpNEKhEJrNpozgJMT26tWrXVxXKtsvjcFGHk6vbPR/rVYL+XweOp3upiJprzHZjs2iwh59Ph+OHz+Oqamprs9pNptiaC9duoRQKCTKf73N0ytqoTsUCsFqtWJ1dRWtVgs+n09yrcvLy3j11VexuLgofTO7LVQWZrNZUpbsTyCf1YULF5BKpXDu3DkkEgnp0VDTKezxGRkZwSc+8QmMj4/joYce6hqk9dprr2F+fh7/+q//Kp3oe2ENeoWAjna7jZdffhnBYBCBQABGo/Emw9CrjNe7n0ajgddeew3Xrl3blXk/jMw3m4VQ02Mq8jMQCGBychKf+9zn4PF4xIG12+2o1+s4f/48UqkUEokEisUi5ubmYDQa8cYbbyAYDGJkZAQ6nU4cWqaiz507h7m5OcTjcYlyK5UKLl26hKGhIfj9fmkjcDqdEkHshPB6GHmlUilBRLK/pdPpyAiD5557DoVCAePj4wiHw3jhhReE6mena46bMi4mkwnHjx/H2NgYRkdHpZbByYH0OiORCOLxOMLhMJrNpjS3sYmPHiSw/qFQN9lGr7mV8ODRmNyu+LkdVl1VfP39/RgcHJQNwc9st9uIx+NSbOvtxbiTa+L7EIFXrVa7IkLCJ8nHtpeK2jw4RPIRDp5Op5HL5TA/P490Oo2ZmZmuAjDQDTf3+/0YGhrC1NQUhoeHpZG02WzCbDZjfHwctVptw7ToXhI1fWwwGBCJRGA0GjE5OQkANzEHU/hMGcnVajVBiMXj8R0nLbwb4TnlvTFdTujwxMQExsbG0N/fD4fDIWPTOZiQzdjJZFKIT5kZUJuR1fpvpVIRcAjnw/A11B8qASq/dqJuSR1Cw+Z2uwXo02q1JCojdyMAAStMTk5Co9EIOS+N6p41LuPj4/iXf/kXmRbH9AsA6aBPJBJ46aWXpGsauH4gWq0WstmspGnW65ZWobvAjSbI24Xzvflm9TsXnqm79Q5lPp/f0nwkvXKfz4fnnnsOhw4dwoMPPig9NjR45XIZ3/72tzE9PY1MJtOl+DfL50SlROJDh8OBer2OmZkZzM3NdU1g3AvGhRGqw+HA0aNHYbVacfbsWaTTaaysrEgEzBSH2kDIPcJxv+9///tx4MABPPLII11EpEQEHT58WBp997pQ8UWjUaTTaSSTSQwPDyOTySAYDOLEiROwWCyCHKNQAZZKJWSzWXz729/G8vIyfv7znwuB627dz52ICgFWYdZGoxFTU1MYHR3FJz7xCQwMDMDn80nDYDqdRiqVQi6Xw6uvviqF+UajITXhQqEgvStarVbqMrlcDqlUqqsZW6fTYXh4GIFAAFNTU/D5fFKvMBqNO9qMS1bsyclJfPrTn4bJZMJ3v/tduUeDwYADBw5gaGgIH/7whyU9aLFYcOzYMQwNDWFhYQFer1dotHYyPbrpmotGo5GiNI0A+YEymQzW1tYQjUaRyWS6lH6z2USxWOyqsfQ+JBU+ea9C4IHH45E+ivW8DRqCrfRoCUF2Op0YGRnB4OCgdFRTuVMRxGKxrtG3an+KigjprUtxjdTOWxqY3sFHm/GydqrgzTUiZTiRUeVyWRiC1RG06lqohd3R0VFMTExgcnJSSFLV1ApRY6xl7YV60+2EBoY1E+B6v4LZbEa9XhfuMfX1rB+Q7HFmZgbLy8vIZrN7egQ2hYqfNV3+zPHnrKXZbDapxbGmsLa2JhG6CjvnGvKMqI2HqgNKRBh518xms6DbWLtTU9A7tZZ0oDilU6PRIB6PIxQKIZFISCM797gKWuHZGh4eFqogouF26oxvyrgsLCzgb/7mb/AP//AP8Hq90Ov1aLfb4mH993//N8LhMEKhkHgKKhz2VmEZ01gajUZoPO42HabVauF0OvGRj3wEIyMjeP/73y/zJHprLn19feINboVotdfn2x85cgSHDh3C6dOnZfwoQQ0ENoTDYVy+fFmMC/+eHpRqWNTRzfydin8nPJOUHqS/OHr0qESZDI03Eh607fZy+TnHjh3D4OCgGBQ+94GBAdjtdiwvL0On00nkwojPYrFgaGgIX/jCF3Dw4EEcO3ZMeJZ61yyTyeDLX/4yrly5ctP8+r0uhPJWKhWk02lpvlX3Bs9NsVhENBrF3/3d3+HatWtYWVnpmp++l+9ZjUSNRiMCgQBMJpMUzycmJuB2uyXVFwqFkMlkcPbsWWSzWSwsLKBUKkn3PHAj1d3X1we/34/BwUFB25GWyu12o9FoIBgMimFhbYfNznq9XgBK0WhUov/tTq9Sj5w8eRKjo6OiF2dnZ4VrzWQyIR6PQ6fTYWFhQWbwWCwWjI6OSg1mbW0Nr7322k39ZNstmzIutVoNs7OzKBQKXQSD9AwTiQTW1takb0U96HdSmFeNEXD3FpahtcoewJTIetdxt8W59dAt/Ozh4WH09/d3pWnIc8VBZ5FIRIgIeR3c+EzjEeVGBJnVakWz2RRWAeaC6b3SWyP9BTuXaVw2Qkvx2nuZA7ZDeF9utxsul0ucDxpM9k2Njo4ik8kgmUxKTYm8WYFAQJpiSaXDQ0NDlMvlEI1GMTs7i/n5+T2PFKP0etVGo1FmkPRGojwvqVQKKysrmJ6extLSknjYe/l+eR/cDy6XS5oYLRaLFNIZ8XNqbLFYRD6fFyQa9w2jGpVXjh37vc3TjJCsViv6+/ul2VltdFZHQZAolYMMt1NBqyldGkOiQsvlsqTpSPqZz+exurqKUqkk54OISd7nTtWJVNk0K3K9XsfFixdRKBQwOTmJdruNUCiExcVFLC8vSwewmn640w3ei3y5m8WgB8SRy1REVqtVQmWVSJMduvSa71QYNajIJeaN3W43nnrqKRw9elS8CXrSi4uLSCQSOHfunFDetNtt8aoGBwfh8Xhw3333wel0IhgMygEzm80YHR1FoVDAN77xDSwvL2Nubg71el02mYqi4qxtm82GsbGxDXOuvG6V8HK7hOnK/v5+nDp1CgMDA9LJ3W63YTQa8cgjj8BgMODo0aPI5/OYm5tDLpfDtWvXoNVqcfz4cXi9XullYNqCzZihUAiRSAQvvvgiIpGIdITv5aK2mvLjd4vFgiNHjiAYDOKBBx7AyMiI7AU6ARwD/o//+I+Ynp7G4uJi1wyWvSqqAmX6+tlnn4XZbEYmk4HBYMADDzyAVquFs2fPolarYXV1VYYSarVaqb94PB50Oh1YrVbU63VMT09LXXd4eBinTp3CyMiI7HEAwmtnt9vxyU9+UuYEkQam1WphYWGha+jezMyMkH5uV4c+14WpOYIzYrGYGDlG8I1GAzMzMzKnyGAwoFAowOPx4I/+6I9kHlI0GhVjvJMOx6ZrLo1GA6urqwIBJNx1bW2tC/G0lTfQa2RuhTAj/Jf9N2pOX613MEXGjui7pZ2hMmCqgmFpIBCA0+kUQ0ZEVzqdlnk1hUJBuveJgJmamhKCOrfbLc2f9KqIhLJYLDK2VUW/kHeL10ej5Ha74Xa7kUgk1iVw3Kg5a6uF3rjdbpdcMg00vTTSuJCyg7BRHg56tqlUClqtVqj5Oa3w8uXLiMViuHLlCmKxmDAT7FVR6wBqUdtqtWJ0dBQDAwOCFuodtkeADJkd3k2MBL0RBGfMlEqlrlEdjER5fnkeqH843tpqtUoTaqVSgU6ng8/ng9frFYOk1uOYKWC6kUAAk8mEWq2GarWKQqEgk1wzmQzy+bxMvt2uNWHEwrk3HHrImrWa/u8dskbdy1HY1WpVJnXuaSgyABQKBfzv//6vKIdms4nLly8jn8933cRWynqU/UB3UZtKy2az4aGHHsLAwABOnz4t0yZVwjkammQyiXg8LvnpzQqVAENpppWGh4cRDAbh8/nkQefzeWSzWbz11luIxWIIh8OoVqs4duwY3G43PvShD2FkZEQossmKTE+LXuri4iKi0aikBKrVqnhpxWIRq6urMJlMeOCBBwSqazAYcOrUKdjtdvG6mDpQNyrXabuEhfiBgQGMjY1hbGwMNpsNyWRSoiy73Y7JycmuqZKnT59GpVLB7Ows0um0cNG98MIL0Gg0OHLkCDqdDt555x2k02mZK0SDtJdJKxmFmM1m2Ueck97f349nnnkGY2NjOHnypKQ3gBv7YWVlBYuLi9KnsdeM6HqpbZ4T7nPOIlIbZJlR6HQ6Upw+fvw4HA4HBgcHYTQa4fV6u+pPPOODg4OoVqsYGhqCx+PB0aNHxXFRnScaGhou1kUJey+Xy8jlcjh37pw4oFTW27HO3AfMYDA1l0ql8OKLL0oERWNiNBpx8uRJ+Hw+nDx5Uhpt7XY7jh49ilarJcjdXlLgnZC74hYjGoyhVjQa7eqv2KobUBFCwI2UQS9iih66zWaD0+mUvhK32w273X6TV855H5FIBKFQ6K4jF45KJgOAXq+Xhj7WAYDra5bNZhGPx5FIJJDNZkWReL1e+Hw+HDlyRH5WD4zqiZTLZaysrCAUCqFYLEq9hh4J4ZW5XE4Kfuw98vl8krNW16I3WtHr9dtW0FdTP51OR65RNfidTqeL+ZevJ2yZvQm5XE7GHLPJkM25rNHcSa1vN4WRisFggMfjgdlslly5Xq+HyWTqmtMDQDIDrN8xNcq9sNfuVTUu3Gu9yC3eG1M7amc909xmsxnDw8PCsUY0JlO5jN51Oh28Xi9qtRp8Ph8cDofUHtS9rq4TvXzV2+cMqGKxiEwmg0KhAL1ev+U6rle/sUZLgA4RXmwlACDRq9VqxdDQEPr7+zE1NSVZGjYnM/riyOOdjmg3bVyIL9dqtchkMvI7AF3d01slLFTT06GiAbqNjMlkwsMPP4xAIIBnn30WAwMDmJycFJpyAMLUTOrxf/7nfxbkyWY9Ea32+uyVz3zmMzAajbh48SLMZjM+/elPw+v1wuPxSAG2Uqng+eefx+LiIs6ePQuTyYSPfvSjCAaDePrppyV9px403nelUkGxWMRvfvMbLC0t4Qc/+IEMemKRm2m+SqWC8+fPo1wu44Mf/KC8T7PZxKFDh6TnRw2l1SmYBoMBg4ODWF5e3pJn1ytUNDRyZ86cgd/vx6FDh6DVajEzMwOLxYLHHntMDAwdh2azKXPmf/GLXyASiSCXy6HT6WB+fl7gmGpBt7d2t9cUr06ng8fjgd/vx+/+7u/C5XLBbDajUqngzTfflOdLJFir1cL58+eRSCQwMzODbDaLCxcuoFAoIJFI7Ln747MjEpI1D3IOUpkXi0VpZWBa2+/346GHHpK0qcPhwKlTp8QZYQocgOgcGhmn04lGoyFRgHo9QLdT2m63EYvFkEgkBK5eKpVQKBSEaYSzbwg62cqUGO+FYJ377rsPRqNRzngoFOqifGGEOzQ0hGAwiE9/+tMIBAIYGhoSlmfWd5kmV0fC7+nIhXh6el1qWLmdOT2tVitRCNMl3LRGoxFms1nytAyBe1mQ6S0R2hkKhbCysnLXqDSm4iwWi3hTnH7HPLHKBL26uipGgQVbKhSuJb1SbgbWZ6anp4UqhpTkKrKOxojoKtLA0GMhyoTXzSiwN1+73d4N4bWEjrbbbRloVC6XAUCiYKYGaSjY18B5JKwvcNy1WrDca4q2V9Q9qbJmG41GMZCtVguJRELOGgu4qVQKly9fRjqdlmblvQpWUOfM8HnymRKMUa1WuwwQoxbyF3LaLc+JKtQDvVRS60lvJoRnlN383FP5fF7GrDOFrLIsb6XQsFBv0BmmY6E2nDPbQXLWwcFB+P1+uN1ucbypj7kndnMK66bnuZCig4dCo9GgVCpta0hOhuPHH39cim2FQgFvv/02tFotHnvsMej1evvmmn4AACAASURBVITDYZTLZVy9ehXVahWjo6Oi6NW6QiaTQSwWk01TKBQ2fTiZ6nr77bfh8XiEMO473/kOrFYrPvaxj0kRMZlMYn5+HvPz8ygWi+h0OlhcXJTwtjcNVqvV8Oabb2J2dhbPP/88VldXkclk0Gg0ZNrieoV3QpSLxSK+8pWvSL65r68PsVhMpumpn8kmLCLJCCXfDqEiYIRx9uxZ2Gw2LC0tCdxUq9VKDYzGutFoIJvN4syZM0IJo1LB9FLq9O7DvWho+PxIP1IsFqWOksvlsLS0JKkZsns3Gg289dZbKBQKwiqx1+HV5MUymUzSWb+6uio1Dc4koj4xmUySViYseXx8XFJFdMBonGq1GhYXF1Gv1wWyG4lEBJqscgr2GhaCecLhsDQzl8tlLC8vC9sIP4POM7MLW2nM6WiaTCZpmo1GowLOUevJTz75JIaGhvCBD3wAbrcbQ0NDXcMZaZjJm7awsIDl5WVpT9jJov6mIxcVLswHpiI5tlrU3hE2VRUKBVGQalFdVdDqNfUqYzWsVj3juxHiz+lpRiIRgVMy7ZTNZlEoFLq6zdnk2JsHZmQ4OzuLa9eu4cqVK8JsCtyYzkgOJDUNyRRYqVRCKBRCMpmU/hYyCqvphN5+CYbm22VcuM6M5jKZDKrVatfYbL1ej2w2C4vFIpEI8+AEjWzkQe5lJbuRMIVBIld60ow0o9EojEajIDGTyeSueqObEe5TtX4GdM8fUfcw621+v18QXmrjI/+Wil5FQ1UqFWENZrc66yjrORt8H+4l7slSqSRoM0ZEfB1w3cHuBQbci6igmk6nI1BjNY2lMn4wHUa2ArV1QL1PIt3oiLCXaDt1da9sus+FHiYAUVa94eZWCq220+kUtEgoFEI2mxVUCKkxRkZG4HK5MD4+jv7+flHU5PTigvb393fN7CZ9zWaEBbVAIAC9Xo9XX30VuVwOkUhEEC0ejwdut1tSOdw47OE4fvx4V42F6atIJIJvfetbuHr1alfXsWpICcMkcoxCFBlngf/mN7/pMsROpxPtdltI/WjwiO//+Mc/ju9///tb9PRulk6nI2kvItw4d6PRaMDj8WBiYgLFYlGozznmt1gsdk3QVCedqu+/VUKQwXYInzeRhC+//LJA2JmaqdVq4gzQwaDS2+v1JAACnWfdiIOr2CWuQuY5ViAYDOLZZ5/F2NgYpqamJJWmpm1V7rB8Po/Lly/LaHBVGdtsNjFe6hRH1Zlkn02pVJLMBj+LRoTOllr73SoHTK2tsj7C+iEASbvfd999GBsbw9NPPw2v1wuXywWtVotcLifnWr3+RCKBpaUlzM/PI5VKwe/3i/O73uCwjfbRveyvTUcuqtxrJ/2dCFNixLLzQHKEMZUSIwEqUXrIKh0EIYa06GazGVarFblc7q6vj5siHo8Lj5NGc31OOJU2UXUM0ekJqZ4Rr5cFxLW1NfHSudH1ej2cTqdg86mU1Y3S65GxvqPWodSOeBYLKdtdr1C9RhrFarWKvr4+meeSy+VgtVrloLEwSQQVI86dnKmx1aKuA5+7mhqjAeF+VlkvuL+BGzUNRrYEr+wFmhvqBe59OjIqwlF9LbnE2NzIeqDKFdZsNmVuC+skiURC9ooa1ZdKJXGm1CwGcEOpqyiqXsPTW9PcznoeP0tlF1Add6vVCovFArvdLtyOnU5H6qis1RD8wqmtnGTKWjQRl9lsVj6Dn8/noH6/l3vdlHGhAlRz3Py+XRvZZDLh0UcfhcPhwLVr11Cv1wV6WavVoNVquybPVSoVyenabDZ5GNVqFf/n//wfrK2tSSOhx+OB0WjE0tLSptFiGs11rp8XXnhBFCBw/bBXq1UsLi7C4XAgHo9Lly+jimKxiDfeeAPpdBoPP/ywHKBcLof//M//lMFYvCY2g7lcLrz3ve+FyWRCuVxGoVBALBaTQ6IeBrUeQW+GhJD8PLVG0el0hE23UChs4RO8IdwjvDbWvCh0Bqanp5HP53H//fcLuKHdbmN8fBwWi0Uo1VVY7nY4OtsNbiCcmJ69VqtFPB4HABkXcOjQIWg0Gly+fBmdTgculwsARKmQar1QKKCvrw8DAwPS2LzbBoZKjrNEevvTVGVPlJjdbpf5PrFYTCaRcjonEYOEC9NJY22HxphElBqNBvl8XoyVVquV88LxxplMBrlcTupANO5EsalpO0bbW7U3eh2lXoeYhplpLQIbCNlmKwV/Pzo6ikqlgnPnziEUComOJA3O/fffj1qthp/97GcC/QZujHpXAQYA7in9elc1F3Vz7ISwrkOPhSkC8m+p6JNKpYJ4PI5arSZ9Lxz+Ew6HEY1GEYlEAFwnSOTD26zwwatEdhqNRlhU0+m0hJ/r9aOsra3BZrPJ8KpKpYJkMolwOIyVlRW5JrVb2+VyCe8Wo5aNKFtURU5vWP0/9cBQCFLYblFzzIxgaAB56J1OpxwyHiyv14tWqwW73S6KU0UqUnFsZyS91dKL9lOfO4Wpm1arJekPIutIQUSl6vf7Ua/Xu8hQd0u41+80z889UCwWhbC0XC5jdXUV+XweCwsLKBQKmJ2dFcNCQ2KxWGRfMYvRezZ617pcLsuIgnw+j0KhIOAkNdPQe91bWbPoLSf0Gi31jKjXw7MSi8WQyWS6WC8qlYowilNHkDEkGAyiXC7D6XTe9BmqQ9qLJu3V+XdiXO8qLbZTzTjMd77xxhs3FQTJu6TT6RCJRFCpVORAnTt3DgAEYcLxwoTAXr16tYu6nF7gZoR1DS62yvXEh0uPgUVGKvRqtYpLly4hHA4LlQuHqL3zzjviMfGQ2Gw2HD58uIvoMZPJIJFIiFJdb+3UMH69Tbuboob+RMQwnRGNRgWWa7VahX3bYrHIELpIJCJOBo04c/h7rUv9TqTXm6eztLi4CJ/Ph6eeegoOh0PQQWzoW1tbQ6VSQTablXPBKYxb3fC3WWEN8Xb6gvuXNCc//vGPodVqJQPBwj3pbXheuTfIZsx+MRLGBoNBeDweSSWr3jkbUBcWFvDyyy937afeuUfq+m1lfVltKmXmozf1xsg9HA7DbDYLfN9gMCCXy+HMmTMyWI6RGkE9ADA0NASXy4UPf/jDGB4exvj4uBjUtbU1LC8vS+S83rlhXxGviXuK8P9byT3VXHZCWMCj8qYlJu8OF5+zs1kgpTen0WgQiUSELVTl4OIDvVtjqeZxufj8WS0C9ip3pkM0Gg0WFhZkCiPzyAxFGQmpX2wq4/swl7oRFHy9CGUvyXo5bvXe1ZkVFJ/PB41GI/BcpjPUprGN0jDvBlEVDCO0kZER+P1+jIyMCA1Ms9kUlmACbWw2myCLmILdbQNzp6/j/mdmgWOtqdTU2iX3Bx0wFr5VjjJ693Q6qBgJh2cmIx6PC0KMdZ2tNCK3kvVKDOp3rg2Rkqurq2i32/D7/eh0OjJ3RkXmEdrcbDYxOTkJp9Mpg8+8Xi8sFgsmJiYELEMnWdUhZHLn57PLfzOyp40Lw9dCodDVycq00DvvvAMAwqnE9Fm5XIZWq4XX6wUAmTZHDHlfXx9MJlMX8uhur4/fe3suKBsZMHp1Z8+eFWOpwrp5nT6fDxaLRYqTDz/8MADg0qVLqFQqGB0dFbK+XgQOUWHqgdlL0htiM5JxOp3weDzo7+8XOhSujd/vx4c+9CEUi0X4/X4AQCaTQSqVwq9//WskEgmsrKwIRJU57N7Ds9eFirHRaMBms+G5555DIBC46dAfPHgQpVIJr7/+OhqNBqamplAul5HNZrG6uoqzZ89KP8ledTLUwWjZbBaxWAwAJOpRDS1wI3pgb4vP50MgEMD4/+OmY8PppUuXoNPpkM1mYbfb4XK5UKvV8MorryAajeLVV18VfkGVXft2zshWZG6oy3prhetlGGq1GpaXl5FIJFCtVnHgwAH89V//NXw+Hz772c8KTF+n02FsbEwGMzYaDZw8eRIOhwMDAwPSD9Nut/GZz3wG6XQa3//+9yUbwCjRYrEIowcN75tvvtnV83Mn+2hPGxeK+gDU+kE2m5XUmeqlkmOI3iuVq+rx8LVb7aHwGnvD243ui4aQ+ePe62JjGdEiHC1Nqnqz2SyIELWPhp+7E97XvUpv9Mecr1rsVFFSg4ODqNfrMp3P5XLB5/NhdXUVHo8HAJDL5brmpr9bU2VERrJ2wampVER2u11G8zYaDXi9XmFTJqWOVquVaL43mtttUdO2dAQYrazHQkGhYlbPTbValZ9rtRoSiQSA63Upi8WCgYEBlMtlzM/PixNSKpW6FOZOrstGhqz3Ghi5AcDy8jKcTic6nY4MPGs2m6IXbDYbGo0GRkdH0el0JEVIlCXXzeFwoN1ud7EecD07nU5XpkRlX2ZEeCdjHd4VxqU3H61So7Czt9PpdOV3W62WeEDqCGHg5uFld7uhegvHNAYqjO9OcpNqmox/y0I+oZnHjx8XNliTyYQ/+ZM/Qa1Ww9LSElZWVvDd734XsVhMDiVhzJvt4N4LxXCVC4k1JSpUo9GIo0ePyvNUjc4DDzyAfD6PH/3oR1haWsILL7wgow3ejdJqtZDNZnH16lV8/etfx+HDh/Hnf/7nsFgsolTZ2c2IlgV+gkUsFgvW1tbw0ksvyQhgNf24F4QRKyOT9aL89f6GoBZSKjFlRGXM+gSZMOiYku2iF8W2k8K1V4cqqr9fT5ieYv2WUb5Go0EgEJDXqPuB967206kOF3vwLl++LIaWLRputxtHjx5FpVLBpUuXYDQaEQwGUa/Xcf78+dvWqt8VxkUVNZVCCDK9FW4UPixGOL1GZCc202Yb8NRoRVXw6hhjg8EgsMteniY19aVGbHtFgdypqPdC5gM2wQI3ur7VyIyYf0Y6g4ODKJVKcLlcAr9+twqLp8vLy8JasF6xWUX10Ahzj9AA82fV0dor+2Mzzl6vMmY9gNEZzwAhw3xvpt9oYPdKNHunz4CRLNmOmcJi3Yn31Ol0uhgN1F42IhJTqRQSiQQymYz057FuyRQlEXdWqxWHDh2S9eVgxds5ops2Ln19fbv+UNT0Cb1+4M7GKfN1WyXqIeVGZ3jKnpfNGhn1O/m1SPm9vLwszMbZbBbf/e53sbq6iunpaWk07KW+URXxRmuz28qG10pkXTKZxMLCAprNpoygpRNBp6F3dCuN6ejoKAwGgxRsf/WrX3V5iHtFod6JdDodYUkmzF6j0cBkMsl+I4il0Wh01dii0SjefPPNrtEEROapCK3tlDuJhDfr9NEBY5ZgbW0NAGS0s5pW5fr19qps9z3dzXsCt49ccrkc1tbWMDc3h07n+vRNprrUKJ4IynQ6LShZDitMJBL45S9/iVgshosXL6JcLkv/G3A9vfjWW2/B7/fj8OHDCAaD+Nu//Vtks1n8xV/8BZaWliQtdysH9l0XufSKqozv5IGrDUL3erDWq9fwIauNUJsRHgw2k3FGPEN9FTFD9mPmjlVUkHqA9kKq605E9cJVzjdGYqoBByD1BxW6WyqVbpqx/m6499sJFUY6nZZ5HZ3ODcLRVColtDFERCUSCaTT6a69oUbIuyX3auSpROlcUMH1GhCmgtTekJ2uq2yl8B44i8rlcmFsbEzqIb2vIysCp2gWi0UsLi4ilUphenpaWEWIogNu1LJImsr5UHRYyXlHHXoruSvK/b0kvWE+cOtNy1kIALC6unrP7KZqVMB/0/sGNhclkabF4XDggx/8oLAta7VapNNpNBoNQb7Nzc0hlUrh7bffRj6flwNG1mSKSqnfe53r3cduCg2/2+1GIBDA8PAwvF6vKBAqUubWCTsNBoNot9u4fPkyQqEQfvSjHyESicgMdBqjd6NwBs+hQ4cQCATwwx/+UCCkZBQul8tYWlqCRqMRdm5O60ylUgIIUFNBu6VkmdYENqbHv9V18e9ZXFan1PL+WKdj+lTlJtuKe96OdbtTx1ir1aJYLOIXv/gF5ufnhcOQhXe+FxvKaRwuXbqEeDyOX/7yl0gmkzJQ71bEnqVSCS+99BJsNht+/etfo1wuI5lMdhn0W8m7PnK5GyFabDu9t7sNvalgyafGsJcsyyzScwYF0yK96TR69HzPd5OQaJNKBLhRi1FDfHqvjGwIwY1Go1hbW5MC9l5ziDYrNDB6vR75fB4ajUb6oVZXV1EsFhEOhwU9CEAai9U63J3WNLZb1OI6ZTPRDNNivR34alpIfc932/6/nXQ6HWQyGbjd7psg1CqkmfpCnQ3DaFZFlva+N6XVakn/D9NrvXXsW4lmMxtNo9EkAGzPmMLdl7FOp+O/0xfvr8UN2V+LG7K/Fjdkfy1uyP8f12JTxmVf9mVf9mVf9uVO5GZSqn3Zl33Zl33Zl3uUfeOyL/uyL/uyL1su+8ZlX/ZlX/ZlX7Zc9o3LvuzLvuzLvmy57BuXfdmXfdmXfdly2Tcu+7Iv+7Iv+7Llsm9c9mVf9mVf9mXLZd+47Mu+7Mu+7MuWy75x2Zd92Zd92Zctl01xi2k0mk2382u1WphMJmg0GhmcpbL0rkcmR9K5QCAAk8kkU9bI2JnL5WSMLZlvt0I6nc4dkxDdyVqo3EZkEVXp8Nd7LfmyeM8chhYIBLr4wsi1tbCwIJTiqvROtdysbOVaqNet/pv7oJcEbyMuKO4dzpkgKzKnjhYKhQ2nLd4LE++9rIU60AyAkCpaLBbo9XqZf859XC6XAeCmOR3lcllYblUCSu4rlQ34Vs+8d14Q15TXd7uztNVnpPfa3k2MIdu5FvcifX19cLlcMBqN8Hg8wsHGGTe1Wk2IK7dTd24LcaWq2NSxwiRY5M2aTCYAQKFQkIlxFosFp0+fxtTUFD73uc/B5/PB5XIJgWGj0cD8/DwWFhbwxS9+EeFweFen6vG6eh+SRqOB0WjEgQMHoNPphJ2WRIqcgsf3cDqd6Ovrk/klJ06cwMTEBP7qr/4KXq8XDoejaw3C4TBCoRA+//nPY3FxsWvsKD+br1Wp1ndqnThzhIbEYDBgaGgIer1eBr2VSiXU63Vks1m0Wi3o9Xro9XrY7XYAEPp4vh/HPJ86dQoejwePPvooNBoNLl26hFKphFKphHK5jLfffhvFYlGo5snC2zsOe7vvn991Op2MpebMnQMHDqC/vx8f+MAH4Ha7ZRDc8vIy2u02AoEAzGYz3G43qtUq3nzzTRklUCqVcO7cOQDAQw89BJ1Oh2QyiVwuh3feeaeLBVodWaDVauFwOACgy4iRun+7CT5vZeDV9Vrvdev9fi8ye++WqDNugsEgvvKVr2BychKHDx+WWUhkS04mk/j85z+PixcvIhwOb9tMn21nRVbnxKsjiNXNQtpseqM0KBzhqs73oOK0WCwy83kvCq/VarXCaDTKbPB0Oo1OpwObzQbgOu240WjEoUOHhEqdkYrP54PT6ZQoBoDMaYjH41heXhajstcOmhp9qFT6er0etVoNtVpNxtOuF7nyO+9NjXb4npxQyQjPaDSKEmV0wz3Fg7VTst49kSaeYxWsVqsYTJvNhk6nI5MmbTYbjEajfA8EArBYLMIWzWFhnFDqdDol4leVBc+O3W6H0WjE4OAgACAajaJer3eNk97uCa232pPq2Iz1jMt6M2h6X9f7/7t9BnZa6MAdPHhQxlXo9fqu2Ssmkwl2ux1+vx+BQACRSOTdY1zWS2moUwDVVEiz2YRWqxVaeXpWwWAQY2NjXYuiphf493tBbmXctFotXC4XPB4P3vOe96BSqeA73/kO6vU63ve+98FgMCAWi2FgYABf+MIXZCwvx5IaDAaZm82ohfTX3/72tzE/Py8RUe9B6p1HvhOeeu8hbzab6Ovrg9FolFGpZrMZhUIBxWIRoVAI5XJZ1lCd705FSW+fKaFms4l33nkHfr8f/f39sFgssk65XE5mvrRaLbhcLuh0OtjtdjSbTYTDYfm/7ZT1prUyFeZyueD1evH444/D7/djYmICZrMZdrsdGo0GXq8XzWYTlUoFWq0Wfr8fGo0GbrcbpVIJFy5cQDQahcViQalUQiwWg81mw9jYGGq1Gq5evdqVYnW73RgaGsIf/uEfYmRkBAcPHkS73cb58+exuLiIf/u3f0Mul5PXb7WB2Wyqi2e8N1WnRt29UU7v7/n6ex1K9m4RrlUgEMCXvvQlHD58GMeOHYPRaOwaIsbXGo1GPPPMMwgGg5JW3w7Z9silN7Tt9UBUo8FZ8VQwzWbzpo3VbreRzWaRSCT2bNQC3NjoTMU4nU5RsiaTCWNjY7BYLPD5fPB6vRgeHobdbpcZHMyt12o1dDrXR9QyfZFKpRCNRrG6uioKuVd2yqjcTugweDweWK1WGAwG8ZjV61sv1bGeJ8qUWrVaRaFQkIFHXDOmG3sVjqo0d2NNGGUzQud10JHgOTAajeJUMRpj1MOovlarwel0dtWfmG40Go1ibHU6HSwWC5xOJ8bGxjA4OAi/349Wq4XBwUHk83kxzhvto50UrgGdCs7qUWu1qqiDwiicBAvs/t7fSaH+dDqdsNlsErH0DlFstVpdenU7o9UtNS5qrUX9zp97NwgL/ZVKBX19ffD5fLBarVhcXES5XMbp06flwHCiYi6XE689l8ttmKPdbdFqtajX67h48SL6+/tx6tQpuFwunD59GjabDX/2Z38Gj8cDk8kkSgC4fsA4DKxWqyEajaKvrw+jo6NoNBr42c9+hlAohHfeeQepVGrdiXC7sQ69zxq4fvgdDgeeeuopOJ1O2O12KSpysFWz2eya382/02q1XYcAuOGhWa1W6HQ6rKysdM1Jn5mZkQmN/F25XEYqlRIltd2pH6A7mmWUnc1mJRqp1Wo4e/YsHA4H8vk8PB4PDhw4AKPRKGngQCAAvV4Ps9ks0Xqr1ZK9EI/HUSgUYDQaZfBWrVaDw+EQgIBOp4PL5YLdbkcgEIDL5RLjXK/X0dfXh6NHj8Jut+PKlStSq9nK2tydvg+Nrl6vh9/vl9Rhs9mU1E3veHLW0pjSq9frXU5V74jrrdIT2xHh3YvQKWm327hw4QJqtRoOHTp0kzFutVpIJpOIxWL4wQ9+gJmZGRSLxW27rm2LXDZ6gKqBabVaokTUv6HCSCQSAACr1Qq9Xo9ms4l0Oo1IJIJQKLRuOmivCb1qg8EAq9UKr9cLp9MJj8cDp9MpXho9MP5cq9VQqVSQyWREEVerVSwvLyMSiYjx2av3T0Og1+vlfh0Oh3hOrAMwBdQbndKrUhW16s0SWUWPvVqtolariWFRv2ikdhP4wQiFRiCTyQC4DlrQarVIJBKwWq1wu90wmUzQ6/UwGAzinauGtdVqob+/H0ajUdLLLPT3KlTed7PZFK9eTdG53W60Wi2kUimZtc7X7iQAhKJOmWQURgeMyDlGfqw70Wlg+p1pydtNorybe9vovXZbVCQl16nX4WOtNhQKYWVlBdFodFvLC1tqXDZCcfQKN24mkxGl2tfXh1QqBZ1Oh+PHj8NsNuOnP/0pNBqNIK4ymQzS6TTeeustpFKpm0Z17qUIhg+bxbORkRG43W5BhlmtVvT19Yky5EMmrHZlZQXJZBLxeBzVahW//OUvUSwWcfHiRWQyGeRyOfHU9sL9rieEUfv9foyPj+PBBx8UZFMikUCpVMLa2houXbqESqUiqbJCoQAAYjy5P8xmM3Q6HYrFIqrVKmw2m6ybmtZh4V6v18uBW8+J2SmhZ6nX6+Xastks2u02UqkUcrkc3nrrLZjNZjz++OMYHh5GIBCQlBcBC51OR4Aujz/+ONLpNH7zm9+gUCjgwoULyOVySCaTUq+jh63T6XDt2jXUajW4XC5YrVYcP34cY2NjyOVyyGazeN/73odsNovnn38e6XRa0rM07tu9ZnQm6vW6pDsdDgd0Op2AEBipMNMxPDwsNbhqtSrpQBqZ3hHI1DV0Su80dbwRkGCvSLvdFhTiBz7wAYyMjMjvGO3V63Wk02l8/etfx8zMDC5cuCDOyHbJttdcNhL14fbmTemdxmIxCYf7+vpQLpdRKBS6isCq7DXjwq96vY5EIiEeIdMkRqNRNjpTHlSYvOdWq4VKpYJIJCK1JqYveHjWK2ruhgJVr0FNV/I5GwwGSfU4HA4BMHAduBaqEaCRVpUF0yJ0LnoL6DxQBoNBrkv14HvreDshvXWBWq2GarWKXC4HrVaLeDwOi8WCTCYDp9MJoHsd1SI9vXqdTodKpYJisShgBt5bs9mEXq+XXhnm4Pn3jIgmJibkGpLJJMbGxtDX14dYLAaNRrOjzosauTI65TUzItFoNHA4HLKPVP2g0+m6jCF/Vv+en7GZPXA7VNpeEBrVfD6PfD4vsGQVep7JZLCysoKlpSVxHrbz2W5L5HI3wvyw1WrF3Nwcms0mfvvb36JarWJ2dhZWqxUTExNoNBpyOLiZ1HAfgCzabhoZekiJRAKZTAZf/vKX4XQ68dhjj8FoNOInP/mJoIPMZjMGBgbgdDpx//33w2Qy4dChQxgbG0O1WkW5XMa5c+eQTqcl3LfZbHIA6ampxeLt3ji3ExUxFovFoNPpMDU1BaPRiFwuh3K5jPHxcdhsNiwvLyMej0vaSDUq9Np1Op0YnXK53JWjZy2HEQ5RYl6vVyLBdruNTCbT1UC2U5GMCsyw2WzQarWiBBKJhNRMnE4nRkZG0Gw2cfr06a4+IRW232q1UCgUEIvFcOXKFYTDYSSTSbTbbekdq1ar0Gg0OHjwIILBIB555BF4PB6YzWZR0gaDAe9973ulXYC1sFAohP/5n/9BPB4Xp2izqK97WSt+Eb7PugCf9dGjR2EwGARZaTAYuvqZVIAQAHHWBgYG0Gw2MT8/j0qlIv11t7uvveCs3k7a7TYikQi+9KUvweVyCRT5Qx/6EKxWK6LRKCKRCJaWlnakpwnYpchF9USJDjGbzfD5fFLEo2dXrVaRz+cBQIwKewKYRlG9ur1UaAMgOfFIJIJCoYBoNAqj0YiVlRVotVpMTEzAbrfD4/F01ZyoJNRQnpEP6xidTkcOBGKz6AAAIABJREFUHg0MG1apUHfrYKjIrlwuB7PZjFwuB5PJJH0uKgqKnriqxKj8md7i+9LAMsXE70whMVfvdDrlvdvtNiwWC4rFIsrlsiCQdgJFpqLC2BXNNF69XhdDyTobGRf4/NaD3pZKJaRSKSSTSWSz2a56g1arRavVgslkEig8UWE0LHTEmCUArp+fgwcPSvOvwWBAPp/vigK2U9S0OvcOozxen4qsU8+EGlWwjqkaG4PBAIvFIsaIdT91fd8NRuRW0mg0sLq6ilwuB4fDAbPZjFqtBo1Gg1QqJanYXodlu2RHjEsv9Jj5YDaUDQ0NwePx4P7774der0c+nxcvrNPpQK/Xw2q1YmpqSjZJNpvFmTNnUC6XpYCl1mD22kahQnj11Vcl/8/0kNVqxaOPPiqwZHrbjUZD0oAulwudTgeFQgE2mw3vec97oNFocObMGcmbazQaDAwMAADi8TgajcaOFf3Xg4Tyebz++usIBALodDpwu93o7+9Hq9VCJBJBPp+HTqeT8J1KjEXqTqcDq9UqjgO9UBpcRq2MfBnRWiwWjI6Owm63Y3x8XGo1uVwOZ86cQSKRQCQSEcYEKrReg7MVwr1Zr9fFmKg0P2pdpVKpoFQqoVKpwGQydaX2+F6NRgNnzpzB3NwcFhcXUSgURKlaLBYYjUb4/X74/X489NBDmJycFFDMeopFPYunT5/G8ePHMTIygtnZWfzTP/0TVlZWhEVhu4XGpNlsIplMCrhFp9PBbDaj1WohGo0CADKZjMDPVQSc2+3ucjTplNKw2u12Qe3RQKnosvUQZuoz2GsOrCparRYejwe/93u/h2AwiAMHDqBer+PKlSsolUrw+XzilKqgh+3QETsWudCr4oGiwTCZTAKTZAc3APHQm82mdDATqul0OqVQqfJW7eWHDtwwMAzZNRoNPB4PPB6PQEZV2hZ67uramUwmWK1WOBwOabIDIIp4LxhVeoM0BoVCQXL6zJFzLWq1Gmw2m+TDed80EgCkdsC0F40WDUsv4oXpNSpz1mgYJVmtVlQqFel4V9FGwPZwXNFo8d4MBoP0dfG52mw2mM1m6PX6rihHfQ/S5iSTSaRSKWkKZae+3++X93E6nRgaGhJlu5HQ2HU6HTFmXq8XhUJBepN2us7Ae9VoNF0OB+sKwPU9r0Yv6lrR4QBu9L7QgJPyhmeRe/VWUexeOFdAt7Hr/T2ZHILBIMbHxzEwMACbzYZKpSLGdyfvY9uNCxUjPUuz2YxDhw7BZrPB4/EIxYXFYsHExIR4XrFYDG+++SYymQyOHTsmRTydTofh4WEJ85ke4ebay+gpKn+tViuNbZ/61KcwNjaGYDAohrXRaCAejyOXy4kh4QE5cuSIGCSDwYBHHnlEmirz+TzC4TCAzRUs71VU5dTr9dFLajQauHjxIiwWC+bm5sRYGAwGTE5OAgBisZiAF2q1mnSt814Z5l+9elUiMkKSVTQY0yjz8/PQ6/Wy71isttvt0sBaKpUwMzPT1ePBNNvdrt16xolrZDQaYTQaEQwGJX1nNBoxMDAAh8OBEydOwOfzSc2ERW2TyYRms4nZ2VmEQiGcP38ey8vLqFarwgQxODiIZ555Bj6fDx6PB3a7HRMTEzCZTGI8e7vfe5UUz4/FYoHb7Ybf70c6nUYqlbqrtdjsuqlGoBeMkc1mUSgUkE6n0W63BcKuOpdMh1ksFomGC4WCOLN07Or1uijeZDIp+0mFbK/3DIHdMzRqU61qZBgF9/f34zOf+QwOHjyIRx99VNCVhUIBhUIBiUQCKysrEump0fB2yI5HLmrEovIi2Ww2KW7Te+/v75dw2GKxwG63Sy2i1WrBarWiXC5LemSveO63E43mOgmj1+tFf38/3G63RDL1eh2VSgWJRALpdFqQcYxqxsfHRZFoNBoUi8WuaG8vsBb0KizmtzOZDMrlsqQyGUXQ4PKLwv4GshvQuVCL++oz5++4H9hHVa1WYTKZZB+xMZGsB4SFq3+jpsm2ak30ej28Xq/0mLA+pt4XzwUjL0asrEHOzc1haWkJyWRSaDtoXAKBAAYHB9Hf3w+n0wmz2QybzSZpVuBGb5lav1kvKmGNaKP/v1O50zqoCkhhVEcC097aqlq/YoaDn6WmwLi+6u9UpB3ZDojIBK7vIZVUdr3nvxtITDrTfr8fOp1OjCGRciaTCaOjozh06BBGR0clO8Q1ZR2bXypwYrtkW42LuoHVqIKIpkgkAqvVivvuuw+Dg4M4fPhwV1j+9NNPI51OS4HqPe95j9RbEokETpw4gVAohCtXrrwrGioBiLd+4sQJTE1NYWhoSOop9MpXV1fx4x//GKVSSTbJI488Aq/Xi2eeeUbqNIVCAd/4xjek8W23i/cAurxiVZrNJhKJRJdiIwEj63BkSWYajWF9MBgU2G2pVILT6ZQaimqYeC38zkPEvohSqQSz2Yzx8XFxYHQ6HR566CHUajW8/fbbKJVKkiahAtuM8DCripn35/V68clPfhIWiwUrKysCVmETI5FRBoMBmUxG0FG1Wg2vv/46IpEIXnzxRSni01A4HA48+uijwh2mpph5n6xjMi2pjnRQlQzvfXV1FbOzs0gmkyiVSne1L3jft6v7cc+w7jMwMACXy4UjR45Io2ij0ZBrYYRLI8B7stvtcs8qeIH/5hdZEKampgBAUIRknX799de7oLq7jbw0m814+OGHMTo6io997GMwGo24fPky6vW6OJ2BQABerxcnT54UBwW4Aeyp1WrCGr5RK8dWy45xi9HANBoNiTbYnQxAPFkehmazieHhYUkjOBwOOBwOGI1GVKtVUboqueW7QXiQyIirQnYrlQqWlpYQCoWkyTAQCEhqaGBgAF6vFzabTTYPDc2tcuq7LTQ+vageRhpEkQGQtBU9S6avWLOhN69606y96fX6LgSW6p2xqA5cR5epUQIhv4weqHDvdk1Vb1193m63G4FAAFarVQrRRIZVKhXo9XqUSqWbzkKpVMLy8jKi0ShWVlZQKBTEcPEM8PVqRoD3wloPlbRq1HufE7+rwIK7zdXfLuJRUZ5cf6PRiLGxMXg8HgSDQWG+JlSbzBQApHZH7109S6y19T5DNvaqM5JsNpvoo2KxiGg0ilwuJ/Oi1tu7O21sVGQliU5brZZw9g0ODsLhcAi7Q29thmvCtB+w/RHYtmpm9eJbrRYymQwKhQJyuZwU9gcGBoT6Qp3dYTQacezYMbRaLSlyEq5bKpWkqZINQ319fdtGHb1VonrrbrcbdrsdhUJBHnwikcC3vvUthMPhLuViMplw8OBBDA0NCbCBntqzzz6La9eu4cUXXxR22924L/YaqOkkHkJV2QM3Cqx8fSwWg8PhwIEDB2A2myV1NDw8DJvNhvHxcTQaDbzyyityQPidKSHW7jjrhgij3ggCuJ5mMZvNGBkZgcFgEC+VOXqVmXqzB5DpNtaU2u3r9PlPPPEEBgYGEAwG4XK5cOzYMeRyOXzve9+T8QPlchnT09OSAuZeKRaLeOmll5BIJJDL5eS+meYBgHQ6LZxrRGNyjZvNJsrlMiqVijTvqoV6PhsaoUajgWKxiGKxiHQ6fdd9EfT6uUfU/aLCpvlv9qL86Z/+KUZHR+H1emE0GuFyuaDRaFAul6XLPBwOS6RrNpsBQAxhpVKBTqfrSr9y3+l0OkxOTsLj8eDgwYMwm82CSiXzw5NPPolYLIaf/OQnWF1dxdLSkiDYdiP1Xq/Xce3aNalFkkbKarXK3qfToq4pcMNwF4tFZDKZHa1L75jbr6bGWKRkqqNQKAjaiaLRaGTTMG+s5o5VPqm9jhIDbjxko9EoSB6bzSYbulAoyACwdDqNqakpmQVDnikVHcf3czgcQnK4Gx7VeqJ6wGoEwd/1XqPadU4Pn3UJm80mqSHWpdQvEh1arVY4nc6beLboqTGyYZ2HypX7ikqI+ft7ERXyy16TgYEBBAIBuN1uWK1W2ds0AORFy2az0t/F9BXRYWoHvrqGNOB8D7UexbRRNptFqVQSR45AAF4n16lUKknxN5fLCVz3XsANqhdNR4QRBM+ETqeD1WrF8PAwhoeH4ff7JeXDCJ/PxufzoVwuY2BgQKJRZkRU5Fi5XO4y9GpBng4O6xW8LjIbeDweTE9Pw2QyIR6Py3vuxvliJNnpdBAKhaReR0ebkX4vqk81MOpYh52SHTEuqpIB0OXZ1mo1XLt2DeVyGU8++aT8nlxSWq1WcOmMTnhIVldXEY/HUS6X9zRKjA+XPT1TU1N44oknYLFY8PrrryOVSuHKlSuC5rBYLHjwwQfhcDhQr9eFEp0HSfX8OOeDyJDd4M+ictuo+Lke6kaN4gYHB+HxeNDf3w+73Y7R0VGYTCb5Uns0AAiJZ7vdhtvtxgc/+EH4/X4MDw+jXC4jEAggmUwKZxkjJ5vNBpfLhQceeEDSq0y3mM1muFwuoYdR0webEabAaOwefvhheDwenDhxAl6vF+P/r+eGVEZkwE6n02g2m8L0DVxP+/T39wsvFCMqVWGTjysej8NgMGB5eRn1el1g1uVyGblcDt///veRTCYBQBiqvV4vhoaGoNFoxHi98sorgtSMxWJdBm2zwgwE0XdMe42MjHQ5D5OTk7BYLOKRj4yMCJxaHU9Ah/Pxxx9HPB7H0aNHkc/nceXKFSSTSVlDPm8aDDouRBReuXIFRqMRpVIJHo8HU1NTsNlsGBgYgE6nw9DQEJrNJkZGRrCysoJ0Oo2FhQXE4/FtR1itJ+329RHe3Mtms1logpi9eeyxx7oiVtWgGwwGPP7443C73aJrd0J2NHJRPQd+sQ+CX+RBAm7QNqhFYkIS4/G4hMW9GPW9Jn19fQINPXz4sChT1hGi0SjC4TDy+bxENXa7HTabTeoD7NlQw1quHylx1LUiuoT1GNa5tqv4v5n3U5GDrKdxBgVzykR2qY2EXBO+DgBcLheGhoZkVkmtVsPo6CiMRiMSiYR47ADk8KkQZgobTrci9aHWW+h522w2KSQDkLQT00Gqt83rU/nlNjJ29MJLpRKKxSJWVlag0Wgkmq1Wq5ISKRQK4vX29oeVSiVks1ksLS0hFoshHA5LCu5uRU130TBYLBaMjIzAbrcL3VMwGITFYpF+L7PZLNcI3KAyqtVqUoxmbU6tuajZEUaEZENQGbMZ3VHfkPSSZ4d9VW63G/V6HSMjI1KDYjPsTjtvNPCs0aXTadTrdVmvarXahbTtfQ48Y/+fi1wo6gMh5K/Tuc6ObDQa8fOf/1w6uBkqM/8MQKC3zz//PK5du4ZEIiFpsb0YtXCzOp1O/P7v/z6Gh4fxO7/zO3A4HPB6vcjlcrh69SoWFhYE+fG+970PDodDxhuzYTQajaJUKmFsbEyGbzWbTUxPT2N6ehrtdlvSaG63G08//TSGhobw1FNPQavV4vz58wiHw/jmN7+JRCIhYfZWyZ1ATqlsiN7xer3w+Xw4cOCAGEEeBIfDgaGhIamltNttPPHEE1hbW8P09DQAiOf9yCOPCON0u93G4OAgcrkcnE6nUKRUKhUsLy+jWCzirbfeQqfTkTQKjTZrLypt/2al1WqhWCzKLBnWfw4fPizpqWq1KjUyIt/Yp6Qaf+53vq9KV8I0KCOXSCSCdDqNbDaLgYEBfPjDHxbaFxoJp9OJ5557Dv39/ZiYmJBokPW+a9eu4Ve/+hUikYj8zb04IgRFEDxx9OhRBAIBPProowgEAoIOBSAwbTJwEJZfr9dlbS5evIhcLiejOLxer0Bry+VyV0oQuLEnyTzdarUEIAJAsgHZbFb+zbVlBNrf348//uM/xsLCAn7wgx9gdXUVkUhk26Y3biTUcZVKRcAgOp0Oa2trGB0dxX333YeDBw/igQceWLfpdT2o/3bLjkOtenPvREnlcjmsrKwgn8/LnA5uhHq9LoqHlCgMgfeiUaHQW3M6nQgGg5iYmEB/f7+E+53ODQoTv98vITqNB736VqslqS+gmz02lUrJMCy1duHxeMSjZ1e7xWLBwYMH0dfXh3A4vKUAiI1SYlwHdU3UPgTWORitsq+JX3Qy2u02XC4XGo2G0LowlcH0CoWHy2q1olgsimdLrD8NKx0Tptjo9d6Ls8Jn2mq1UK1WkclkYDAYEI/HJeVWKpUQj8eFKJKv52f3fj7Tquo69qaYaRCZuolEIqhWqwgEApJOpQJ3u91dtQgAEvlks1kZFX2vERyjFhoXfjbrT6wVsNDOiIH3R/gs09+zs7NynTS01AdMcTKSUznTuO6sIfHeGdHkcjlJIaqGm3Wh4eFhaDQajIyMALg+LoGItZ0U9XkwmiX56eLiIgwGA44fP941A0hdS+qanZJdxfEydA2Hw4hEIlheXhZoqMlkQjAYxMDAgCheq9UqStbtdmNlZUW8DWDvUDRQjEYjTpw4gSNHjuAjH/mINIkSIZXJZODxeGCz2fA7v/M7GB0dxQMPPNA1fZBNXpws53A4upiPp6enMTs7KwqBmHZ2KLN34OTJkzh8+DBcLheuXr2Kv//7v0csFtuye73VplXRWlSU6hjWarUKvV4Pt9stkGubzdaFfgKuN9V6vV588YtfFFSQ0WiUZlu1gM0CL8dC0+NV0yNqCqw3bQvcHRGqCnmu1Wo4d+6csNKy5tPpdLC2toZyuYx4PI5arSZUJr0UJlyvY8eOSR2lVqthfn5eCv9EeXG/0Mt3u9145JFHAEAiAoIKVJgycJ0dgdMtt2pip16vR39/PzqdDpxOJ8bHxzE4OIiDBw/CZDIJJxobaePxuMw7ajQaeOedd7C0tITvfe97EpmpiFKivLh26nXTaQBu8NURmpxIJKTplM+ApJZut7ur5mc2m3H06FGMjY1Jq4BGo8Hrr79+z+tzr8LoOxKJ4L/+679w/Phx3HfffcL2oKYKFxYWZMDiTsmuGheGaOqhUruRqYSy2axYYzbEcbzrXu7vIIae6CB1JG0qlUIsFhNjGgwGpaCtIr+Y+lA9Nf6bI3yZwlBpx5lvZqRARd7f3y/ruVuiPjf2PjUaDalP0CCqhI7AjX4WRjCMavg61ZtnhFAqlZDP56V4zi8aImDr53SoOf9KpSJNiWRlBq437lUqlS5+rF60JNGAdrtd0INEWPK5q9RHvH7WGfhFcIwKY1drLp1OB+l0+pb1uLtBIrIuAkAaO51Op+w9tQmSz5gKkQZ0ZWUF8/PzMhyQqTZCkwF01V1VJ4FrQt1CR5Rd/WzC5eetra2hVqvBZDIJ/Q3rgmazGaOjowCAsbExXLhwYVNrsdWiPjs2mHLAIK+fr9sNEAKwi8ZFhdOqHhrRJPQwONfF5/Ph4MGDkjLjXAzKXotaKGpem9MW0+k0/v3f/13y4/39/Thw4ACcTqfck3r4WeitVCrifVitVqRSKbz11lvCjAtAmkuj0agQ9AHdkzF9Pt+ON5+qEQIVe7VaRV9fn8wiefDBBzE8PCzNsjQawI102npQy950QTKZxOrqKmZmZjA/Py8RS+8Y4N4906vc78V753uxBpBIJNDX14fFxUVJY+H/tndlv22m1fuxE2/xFseOs8dZWnVLRZcZMRo6A6iIGyQQVIz4C/gPuOF+xCUXiBES3CAhARIVII2mFyC2yXSq0unCdNI4JYkTx0kcx0vsOIl3Lvp7To6/Op1Om9iZ+flIVZrEsb/v/d73rM95DiBGn2MBNIWP2+3G1atXMTw8jB/84AfijWYyGbzzzjtYWlrCvXv3xBvlZ5JPzePxIJ/Pw263Y2pqSnohdJMd8KSv54MPPsD9+/dF4R6GWCwWjI6OCtnsuXPnBOFUKBRw79495HI5cXbI/UZwz927d7GxsYH19fW6qIRRsDE1yN9xLYzrQqNP9NWDBw8EpeZwOJDNZqVpm/xvg4ODeOONNyQLMTk5iWAwiJs3bx7KGr2MaB3K2VF/+tOfMDExgW9/+9vweDxSvxoeHhYAQ7OkpfNcdKqE0Qghiixik5bBZrPJ3AqG+BqeetxEI08ACK0IhzwtLy8jnU7D7XbXjSvWDK5M3RSLRSSTSeRyOczPz6NYLCIQCAh8tFgsikfa39+Pnp6ep2o6/J7v1wqhEWBxWlOssFmW0FFN56IjDB3pUHFrg0GamVgsJuvDwv1nIfPUHvDL3rNO1TF1qSHFGuWnI02Xy4Xh4WGMj49LLw+VKlF02uDqPLtebzoV/Hv9+1KphN3dXSFKPcigvojB4fNiiomfxV4apuE2Nzel34TGM5fLyfRV48wWHdFzvRpFogfVAZlGZAMz+4yohwjfZeR54cIFcQCIxGOqtlWinzmwP6pgbW0NZrMZa2trKJfLwnyhKXGaJU03LsY0jTYso6Oj8Hq9GBoaQqlUQiQSkRB/Z2cH6+vrMJvNGB0dhcvlgs/nkyLtcRLeo9Vqlcal6elpAMDjx48l4uChHh8fx/nz5zEyMoJQKCSEjaVSCY8fP8bq6ip+//vfS0+Pw+HA5OSkbH6n04nTp08jEAjgy1/+sqQinE6njEXu6+tDuVzG3NwcZmZmZIhQsyM+stmWy2XhjaKiJZUNX0flSK+V9RLSwGjKF3pk2WwWv/nNbxCJRDA7OysoIq18nldedm1ozFl85c+00qei46HnPY2MjODUqVP4/ve/j/7+fgQCAUkL65Qf9xkNNtchk8mgVqtJnY3kn/w8fo1EIlhYWMD6+jq2t7cPteCbz+fx4MEDfOtb34LVasX09LREZ7u7u3j06FEdY8fa2hosFovUT4is43ky1qNqtZrUaOi962ZHfs8mUB3VEHBBIwNA9E2hUEBHRwd6e3sxPDwMr9eLEydO4NKlS7BarcJo3Qpp5EjwXjOZDP72t7+hq6sL8/PzmJycxI9//GMBR7GW+yK1xBeRlqXFjF662WyW4jYbAtkLwgiFCtHI22QMk1sp2htl0yeLbuVyGSsrK4jH45Ia2Nrawvr6OhYWFlAqlSRf6nQ6USgUsLCwgEgkgnA4LLTnNptNDhR7WoLBYB2sN5VKyTwc8izt7e1heXkZa2trLSX6pALgtRFOmkqlZO43Uzc6itP3wWhHK2XWslZWVoSOXkeFrRCdkjH+TP9fKw0+U91oqPu8NCuwUcmw74k082TN5pAoGicCKaLRKBYXF6VB8zClWn0yPpm1FdZ0aFzo+HCuyubmJiwWixgEGgntbXO92CfFmggRiBrcoNfLqEw1oIP7g6/b3d2tg1Cn02mhVtKRZqtE6z0dpVUqFanhpVIpDAwMiFHlfvpCRy76ITJdw36Wixcvwuv1Ip/Po1wu48qVK9KAaDKZ6magZ7NZKZYeJ+PClA5ZZ+/fvy9pvGKxiOXl5TqUD+/jnXfekcJtd3c3Ll26hEKhgOvXr2N9fV3qEjS2//nPf2C322V2x4ULFxAKhfDGG2+go6MD4XBYSAorlQoWFxexsbGB3/72t1hYWGgZDxmlWq0K9U0kEkEikZApm+Pj45L39nq9uHLliswk0crp4cOHYqR3d3exsLCAVCqFmZkZqW+9DJz2sPaTMcWmHSRGHIRPk35ED4/TSDjOutdDsqiMAUgakA7N9va2EIDSuyWEdXNzE++++650oR+F7Ozs4MaNG3XpO0YUnIZIJ2FjY6Ou1siIxePxiHOh9UZvb6/A9Xn+WcsjuzbTkRS97kSr8fkwGtG8bOyhYU8e9VerdA0dSkb4jMp1tOZyufDKK6/g9OnTQnEUCoUEYafBL0d5Hy2JXLRXQQ+Bh4thPjcjjUutVhOYJKmj+bfGXHOrhB6FZtZlFzYVAvO8ugBdq9WQSCRkwl5PT4/AMZeXl6XWBEDSHqS8IUKsr68Pg4ODsnm8Xi8KhYIYl1QqheXlZayursqwpWaui1HoOQL7RJHRaFTI99jnQjhxrVYTr5a9Uel0WmjSd3Z2EA6Hsb29LcOQjmtzrTFy4ffcO1SYdFCAfQ+cjZZEgun0IVA/JrpQKCCTycButyOVSsk0QtLJpNNpLCwsSERxFML+EpNpnxuMUTOvn+vAdBSjfuoBTUypjUswGJTojugx1hNNJtNTowKMNRkSgPL1OorUKXsdEZrN5kODar+IMHJidofRGqe8MtIjK4QGS+lJpwCO/Hy0rKAvF/B/VtXn8+HRo0fwer04f/48TCYTFhcX4XA4MDU1JU1wmg6bHhlpGZoxo+BZQu+H+WFdwH2W18PNS3hxoVDA48ePUSqVpMhqLGKS+sZsNks/Q39/vxjpUCgkuflUKoW//OUvWFxcFBrxZipdY/GxXC6LsmHO22w2C+18LpdDV1cXRkZGsL29jdu3b6O3txfnzp1DrVZDLBZDPB7H4uIiUqkUlpaWsLOzIwdMG+/jYlwOKi5zz7KRsLe3F4FAAKdPn0YoFKoDPmSzWVy/fh3RaBSRSER6m/Tz5D5iepXTO2/evCmKu1wuIxaLiaEixPeo7pv71zikyojOIxKU/WDDw8PweDwYGhpCR0eH1IS4VgMDA3C73Th//jwqlQpu3bqFTCaD5eVlZLNZbGxsSORiBATo66MTqwECTMszNV8oFBCNRtHZ2YlYLPbCM25eRgg0cDgcOHXqFILBIC5evIjd3V386le/EmCELhXQYSFv3sTEhDTLEsF6VM++JQV9fmWPR29vr9Cda+RGrbZPH8Ecq9lsllAaqJ8+d1w69nXqjwffCKPUeXKmukgRXy6XJX3RyGDy/Xhg6Kno3h+NpKtUKlhfX0csFms6L9KzxNhrwbXiwaVi0LxOACTtw0OytbUlqZBWpixeRIwK1ul0yrweHamxdpdMJqVHRu937imyHpC3i8pRz1AvFApIJpMSTR+lF64L7MYoq5GTRWXPVCH58TiCQkfrAwMD6O7uRiAQQLlcRldXl/S+0GEzNso2Eh0dUjnr+g252dbW1mAymTA/P98SEJF+xuTSm5ycRC6XQzAYFIfW6/Wip6cHfr+/rtWDLAi6nnmU5YSmGhd9Q1ygvr4+XL58GS6XSwrgjx8/BgD4fD4n+9+sAAAYLklEQVTY7XZkMhk5IACEJiIej0szHXtJmu2R68+rVqsHhuJ8Pa9dK356YSaTCYlEQgq1zLUbP4PfazoPPdZUX9v29jYSiQRu3bolhdtmi645aMADC4wM0xmJNep/6ujoQCQSQblcFhLGaDSKZDIpaUMj1Pg41eIaFe75lf9sNhsmJibgcrmwt7eHVColqeB4PI54PI5MJiPcZVRwWnEMDAxI9O92uzE8PIxarYZIJIKtrS08fPhQUocEUxyVU6YRW88TSerItlgsSo8O6eKJmMvlcnA4HHjllVeEFoftCh0dHcLKwJEcfG/uQ36OsU+O+4fpyHQ6Lb1RDocD09PTqFQqiMfjAq5ppvDc+Hw+fPOb38T4+DhCoRD29vakpprNZtHb24vvfOc78Pv9gqakcddgkKPOYLTEuJBqnXWCgYEBdHV1yYQ9MsNy2hrZkZlH9Hg8dQVh48FtpTzLC+zo6BByPlJeZDIZKbTxXpk2Ap6+J9Zz2BPU19eH7u5u+blRuJGokFoljNCA/doUZ9UwamXNiblhvp6zR5jy4oREIxrMuA+IjHme/odmibG4bxQaVkYrJChMJBLY2NjA7u6uIL60l084P8lA6dWPjo5KkZvOCg2KsX/kKO7106IG4+uBfXYJogOBJ89S0wFRF3CuCc8Mow1tMDXPGLBvVHTkrK9BF/0rlQo2NjaktksQTisHE3LeDGdCWa1WGW9NSimPx1NHYKlRc83a/00zLjrUDQQCCAaD+PrXv47BwUG8+eabqNVq+Pvf/y4pD24QFu6dTiempqbkkGQyGUEY3bt3D6lUqo57qBnyWR6SyWSC1+uVvoUzZ87IdEUWVpkK00VJDbFk7tRutyMUCqG3txevvfYaJiYmpJDfqL7R6lSYVqhM2ZHyxu/348SJEzCZTFheXhZ+J+a5S6USZmdnpZ+B4AdduOfBpxLTiBqTySRRTathyXo9tIJjqpf9XARk5PN5zMzMoFqt4tGjR0in05idnRUqG6ZECTX1+/147bXXMDQ0hK985Stwu91CA3L27FnE43Hcv39fRhG86Myaz3qvn7bextQonysL+vSwSaXk8/mk9kBDQzQcHQ9d16MB4rnS9EqNUnXGfh86PUZwRbOFRrRarQotEDM+165dE8fLZNoftMh7JNUQHRM6GkdZSmhq5MLQ3efzIRAIwOPxyJhOQjIBCLdYtVoVjx6ANBeOjIwIC67NZsPQ0BA6OzuxtrbWsgf/aULDyqFWoVAI5XIZy8vLsNvtWFxcrEvt6L+jkeF7OJ1O6WsJhULo7+9vGLUwCsxkMsdiTXQ9iKOeu7u7hXWWM2doRBipkCaG0V4jAwxAahT8jL6+PmnKKxQKiMfjL0Wnf9iiUzSMVMjizObBRCIhaL9sNis9PrrXgbNH+vr6MDAwgOHhYfh8PkEU1Wq1ukmuus/oqNfhs7y/Bq3Q2LLeZrfbZTw1e1tYp2QBXkcdwD6ykoqWRkPPi6LzoY2LcV0YpbSabor3xzoQ+/40aoxGU2c/KpWKjJ4g8KkZZ6BpxqWjowMulwterxcXL16Uzc+DU6vVZMNEIhGk02kZLLS5uSlzoi0WCy5evIi9vT3MzMwgm81ibGxMel+YDz0OypRiNj8hsPT7/QiFQpicnMTIyAg6OjrQ3d2NWCyGf/7znxJ56dwwNw7/73K50NfXhwsXLmBsbEwmWhIyqaOEcrmMf/3rXwiHwy1NiQH7+WI+x0AggMnJSQwODuIb3/iGUNewyJzP55FMJusg2IRWsimPrLhGviSTyYRAIIC33npLoqBUKoVf//rXEu0el/3BZ8soLRwOS4rY4XBgZWUF1WoVKysrArVlSpGKxOv14qtf/SqGhobwta99TQq6ALC1tSUR0NLSEra2tsRocw2OUsl81uge2B8Oxud8584d9Pb2olarob+/X2qxTJPpGiYAMT4m05Ppo6RvmZ2dFc+dvT50XhpRzBhFMzK3Qhh9JZNJ/PWvf8WpU6cwOjpaF4nRMU8kEqhWq3C73dje3sbvfvc7xGIxQVYS1k19cRR7oCnGRRfxOQDL6/WKB0GPgopV3zw72AlNJMKM72ez2aTBjp7acai9aNF1JrfbLdfJ1I2RhNP4t/p+mC5k97Ce1NhIyDBML++o+hmeR7TBtNlswpTLgj1rR+RLMxb2CbPVCsUY1bE/gl48O9OZluQEyOMkupjMGiIhwlSGXBN65gRC+P1++P1+9Pf3CzSXBelqtSrEkIuLi9JUyT2gi9w65cNrOkp5lkLjz+mlc8wGozsj8tLYhU8PnmMnOBzM6/UCgGRFuO66qft5pNUpZg5Q4xh0AhmAfbRtPB5HoVCAy+VCMpnE0tISotGoZAeakR5uinHhwecAq9HRUZnPUi6XcffuXdnw29vbyOVyyGaz6OjowO7uLq5fv46xsTHxeDmdkWiO/v5+YXttJZX8QcIu497eXqHV393dFYPQ2dkJr9cLp9NZRzNhMpnqIhmm0bLZLC5cuCBduhpxpI2MzWbDtWvXEIvFcOfOHYTDYUmRNfuAMFRn+G6z2XDu3Dn09fUJgIPpC/a9MCJjzjwWiwGAjDqmB86eDtLSk7Xg1KlTwhDd2dmJM2fOoLu7Gx9++GHLIcuMMjWJKBUllR8dEgDSI6IN7ODgIN566y2Zc+N0OsVA0/O/ceMGlpaWcPv2bWGLZjMgDRDXGoB48UeJJDrIkeLnGWtoJLX0+XwCr9VQf5361WmuUCgEv9+PqakpQXmZzWZEo1GpQXB65XFIkz6PEMj0j3/8A/F4HNeuXcPg4KDMCWK/13vvvYd4PC7TVzkWWZO4HrUcuXGhwtPoIABSrCenFJUEHzY9CZPJhLW1NRnXSi+df7e3tweXyyVpn0YIkFYJ4aWMuoLBIABIhzmwz2bqdrvh9XqxsbHxFEEfsJ9vJQ8XkTQ6tDUKIyNO/yNUsZUpIY3oYqRBxcn7ojepo5RqtSqeO/9G9/kwkmMkyzoe8KQvhjWMZo8aOEgOSkfwmono4vkxop/olQ8NDSEQCMiIa0ZxrFmsr69jfX0dq6urAgTQ/RyEsPf29gIAksmkcN61GvygawyNvG1GGux50s3UnCVDMlTdjU+WgkY1zs+DMCKNx+OIRqOwWCxCkMvnTrZpcuxx/2gQhwaW8PvDlKacNBYT3W43rFYrFhcX0dHRISEaWUk9Hk8dtQI3VCKRgMlkwgcffCAzKshJVa0+GRHMou1BXlErxGaz4cSJEwiFQvjud78Lv98vhTXizNnHQFZjElxS+TCf2igvTFZkppmMBobK1O124/Lly/B4PDJkqpmKQzsYerAX2XDJUBuNRiXlx1qL7lUh9c/c3JzwidGA22w2OTy5XA6FQgHvv/++9EDk83ksLy9jc3OzJcZVOwkU7RToZ8p71ak/FvGJjDp58iSGhoYwPDyM7u5uKXSzr4E1q3A4jNnZ2Towg67fXbp0CYFAAJcvX0atVsPt27cRj8dx584dqXnwul70vo377NP2nW4QLpfL0mkfjUZRq9UwNTUljA5kdl5eXsbdu3exurqKUqmEnp4enDx5EoFAAHa7Hdvb29jZ2UEqlUIikZC/bRWNy8sI0V9LS0t4++23MTU1hZ/85CeCmKtUKlKC0AAYIzrOmOlg5HxY0pTIRafFWF9gSoCwOIa+LNCy456ey87ODuLxOLLZrEzg29zclIWqVJ4M1DouhVoAwn8UDAYxMTGBrq4upFIp7OzsSE6dRXxdM2C64lkRmMavN1JYOkIgyR+ZklslWmkQDUYPUk9l5Chorgf/jgaF6QyjcmYEBEDYDhjl7u7uSnH7OCkUff362WmOME00yH3BojWJCcnIQGWSTqeRSCSQTCbrRihrhaIBI/ze4XDA4/GIQ6jp6g/LGTko0ta/B+qjuN3dXUmX7+zsSM2SDMCcd0Q+PZvNJvWnnZ0dbG1t1TWPHjUzwVEL9WckEoHX65VUMhtHGcHr9GKzUZJHblzM5iejWvv7+3Hp0iX4fD4J8zc2NgAAAwMDkj5KJpP4+OOPJWRjSJxKpfDee+/VdeozSuFGYTftcTAwJtMTKo9XX30VJ0+exNmzZ2GxWGRI2Mcff4x0Oo2VlRXp7SC0kGSTwD4MUnv8PPia4FMfViN2v7OzE+fPnxcABK8PaE5x0lig3dnZQS6XQz6fh9VqlUPBMbP0zkOhEABgaWkJhUIBsVgMuVxOACCsLezu7qJYLEqhXhd8Wfgul8tYW1s70o70Z4l+PtrwG3+vlQCdDkZ8wD4hpS5Ac18QAJPJZPDLX/4SS0tLmJmZqUPH6fcvFAqYm5uDzWbDw4cPYbfbMT4+Lh3xAAQAwFTbYYlx/bUS1I6VLrg/fvwY2WxWUr2jo6MoFov46KOPkEwmBR3mcrkE8m+1WnHr1i1sbGzgk08+ETj3cdARLyuVypOpq3Nzc5ienkYwGJRG22AwWFdXM+oEoJ7b7iikKZELUVLd3d3w+/0yJIoKc3h4WFBPTqcTExMT6OzsxOLiIgBIHSaTyQDYpymnF87DRi/ruORQGTGQrZi9Guyyzmaz0sdAD1vPmACeriFpr8ztdtdFOvxKxQFAFLCGZ7ZKdMRCb5LXw7oI6Xx0HwYVjNH70kqXqSRdm9EoRUY+rTYsxu8PMvLaIOv71fQd9OjJuQVACBtXVlYQiUSe4iDT76/XJJ1Ow+FwoK+vr66WxT6zo1bIxmiG18uvpVIJ2WxW6KBMJhN6enrEqSAlvs4AaL2RyWSkxvt5jli08Gzs7e3JuAIAMqSQzBatkiM3LhaLBWNjYxgZGcHAwAD6+/sxMjJSR6zI1BkRQH6/H/Pz8/jZz36GlZUVgSUbkTX8ahwSdFyMi8PhwKuvvorh4WHptCdzcTqdxtLSEubm5lAsFjE/Py91CBobrTyJ8Onp6cH4+DiuXLmC0dFRoainYWV68ObNmzCbzXjzzTel7qDH2DZ7nbRhISPrzZs3Zc4NxWazSWf9Rx99hGq1KpMWe3p6YLPZ5F45MI3vz0It75PFexqmVhZvDzIwxoKqMT3GaJb7gU7EwsICCoUCPvzwQ/j9fplNf/v2bSQSCdy7d0/SxwcZFq1ka7UnIy3ef/99WUur1YqzZ8+iUqng4cOHL0R58lnW+6DX8uzTEdva2pKUHZm/Gb3WajVBvj148EB6hFhn0anTL4KYTCYUi0UZNnj16lVBSBJFedA+OGppGnTGbDZLDtQIG9YoGCpQTtAzoqUoGqNPOU6Ghflsp9MpfQf8GXt1qCjJkWVUgPp+iPBxu93w+Xzwer1yiJhnJ1Jke3sbKysrMJvNkovNZrN1tBatWidea6FQkANAL7mnp0dmVVSrVel30p35NLwApHdH9zloJ4OvO4q6wYuKNip0jID99Kex0KqNDVDPFZdOpxGPx+uoPWKxmNDjaERdo2vg++uOfdakmFIxvr4VoqOsfD6PXC6Hzs5OabIlzxzXsFgsorOzU1CoJDr9PEGOn0f0/tna2oLL5UKpVJJUMNPgraqzHrlxKZVKMpeFjW3kwzEeIBb49aIx1DUqRX3gGhmdVgpTMew7ILkcoYJdXV14/fXX4ff78cknn0hKyNghzHoCAIFynzt3Tubf2O32OkQdAQLJZBLz8/MAgOnpaZjNZoTDYWmsatWaUNjLMT8/L/TwHo8HXq8XPp8PJ06cQKFQED6tubk5aR4FIHUnog+JmtvY2BDFovP32kDr62l25MZ9TZJJQq0rlSdTEelA6OvTuXI2yFGJ5nI52WcOhwOlUgkzMzMSpWqjqoVRENFB7J3Q/S08j+FwuC7N2iphTbVYLOL27dtwOBy4f/8+AAgrNlGnHDrG2u7m5qakyL5IQofdarXi7t27iEajcDgc0k9YrVbh8/mQy+VkfzVTjty4UEHSs9IU2DqloW+ch66rqwt2u102jVF0aoxfW21YjKKbG/mvo6MDw8PDKBQKmJyclAFExodvLG6yb0V78oQob21tYWdnR0bWMkpZXl6WZlQN722FGKMHXStj2o8Kj9GM7kshQoiNlUwJ6tzycXv+QGPIMesCBG/okd3A/l5mylAbS+CJd24ymRCPx+FwOGC324XSRMPWKTr9pp+/7n8wsuYS8sr/t1poHLLZLPL5vBBKajQhUL/e2iAfx73xssL7LBaL2Nvbw/b2Nux2u0QuzBC14swfuXEpl8tIJpMwm8344x//iDNnzuB73/ueKBJ9mGhUiAY5c+YMurq6cPPmzYb0DPwbdqq3wjo3Enp6JN0jNJD3ZzabcenSJZw7dw7j4+MIh8N4++23sbq6+lToro2SxWJBf38/AoEAVldXBflVKBTw4MEDZDIZzM/PC2yzUqlgfn5e+hlIEkqF1mzPnV+NMGoyue7t7SGXy2FmZga1Wg3d3d3o6uoS+g4yP/MrkYPRaLQhzFYzDhvBAM0WIxLK5XIJFRIVe7lcllokr5vsxTptRkVaKpUQiUSEV46GWhsJrgnBHHrtdR6eEbDmzyJI4jgII7dq9clIX53dMCKhGiHsKMfRAX1RYeq4Wq1iaGgIfr9fRhEMDQ1J/1OrWEuaUnOhZ7aysgKr1YpEIiHpIhqZRmkMziwhHcRByJrjuGFoYDY3N4U/jA+ZKS4i5cxmM770pS/B6XRKCM9NY7wvDlFaX1+HxWKR71dWVrC1tYVYLFZHzpfL5eByuTAxMVHHv9RK0ffEGgkbvcgtppFeJGFkDY6NgvTQie03sr22ulagRd8zFaU28DSG7LJ3OBzSad3omWlUoIYJNzKiGhCgXwPs95Lwd0ZEmEYttlqM93YQ8aaxR+w41WIPU7TTSYZxZnt0La1VZ75pBf3t7W3cuHEDbrcbs7OzGB0dxQ9/+EOpHQCQyXjxeBzpdBrAftGWeXTdx8LFJQLkOChOLZubm/jFL36BU6dO4Uc/+lEdQIGKhCi6n/70p0ilUvjzn/+MWCyG6elpaRgl8mlvbw/T09Nwu90IBoOoVqtYXFxEPp8XBJaxdsPi7MrKiiCCjgvlBZ8ZqdWZ4tEzzLu6unDixAlYLBZJq8bjceTzeYTDYRl1TCZlo8LWCuk43DMA6bmxWCwCx2ZjYDAYhMvlwsDAgCDfcrncU/VJ/f9GRtTocBmjRb1GrAE1qv287NodpeP3ae/LiKVRj8fnXfjcfD4fgsGgMC1MTEwIs3w8Hsfm5qakNpvthDfNuJDZtVAo4OHDhygUCkL/TEgpw3oyuR5EsMaDclwZkPm1UqlgaWlJCClZzNVeJDdJIBCAzWbD2NhY3eTB//73v+Kdmkwm6bZmqoSNgSzINlIeAOpy981ei0/7TCKg8vm80L/QyNhsNiGq5D0bO+4ZwTTy0hpFMc1YAz4vnQ6t1fYHUTH9Sagxn5tOaRmNQyND0uj+9P6iF3/Q6zQLwnE7SwfJQQb1oNd8kYyKUYzOE9Ob6XQamUymjleskRzlGjWVxY/KLxKJYG1tDdFoFF6vF2NjY/B4PDh9+jQsFgvS6bTMfieRns47M5/K+dkM/1qdHtO5bSoUduD/4Q9/wPDwsNDAsBjN/DAx6a+//jp2d3dx9epVrK+v4+c//7mwuBLKXCqVpC+GzZlUWgcp12avi8lkkvD8Wb0FLCYTfGCxWBAIBNDR0SEjnDnWOp/PI51OIxwOI5VKYW1treGYY30NOp3Kz2uUbjxM4d7s6urC2bNn4fV6EQwGsbe3h3fffVcK0bVaTSZP0ghFo1H5ynoUFT878Y3XriMYRvkej0ciIp4dzX5MTrqBgQEAQCwWq3tOjT7jRaSZUYtRUX7RjUq5XEYikcDOzg7+/e9/w+/3Ix6PS7p8a2sLGxsbDZnQjWCoz71xAfZZgEkfz5qK3+/HwMAArFZrXbe2sTHSmKM+bt6JLiQTCknCPM4ZASBd41QIAMTI6F4Pp9MJq9Va12hYq9WkGMtZ88ctJQg8PYvmINHpMWC/6VFT3OgcMmssjaKVT0sRNcs7Z2qP6D7OL2LkelBqiygwTemi6Wz42mftd0bDRtCM/j0/gz0QRqP1RVDQn+drfx5hpFssFpHNZmG1WoWRgb1kPCOfFrkchZg+ywMwmUwJAEtHdjWtlVCtVut93he312Jf2muxL+212Jf2WuzL/8e1+EzGpS1taUtb2tKW55HW4wvb0pa2tKUtXzhpG5e2tKUtbWnLoUvbuLSlLW1pS1sOXdrGpS1taUtb2nLo0jYubWlLW9rSlkOXtnFpS1va0pa2HLq0jUtb2tKWtrTl0KVtXNrSlra0pS2HLm3j0pa2tKUtbTl0+R8ia+e5cPfriQAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 504x864 with 60 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XKraRHH8lLzA",
        "colab_type": "text"
      },
      "source": [
        "It starts out as all noise. Then it learns to make only the center white and the rest black. You can start to see some number like structures appear out of the noise like 1s and 9s."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "JjVpcb5llLzB",
        "colab_type": "text"
      },
      "source": [
        "## Sampling from the generator\n",
        "\n",
        "We can also get completely new images from the generator by using the checkpoint we saved after training. **We just need to pass in a new latent vector $z$ and we'll get new samples**!"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "T4DDZqzflLzB",
        "colab_type": "code",
        "outputId": "ee660883-a086-475a-ecec-5fe98068f27c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 450
        }
      },
      "source": [
        "# randomly generated, new latent vectors\n",
        "sample_size=16\n",
        "rand_z = np.random.uniform(-1, 1, size=(sample_size, z_size))\n",
        "rand_z = torch.from_numpy(rand_z).float()\n",
        "\n",
        "G.eval() # eval mode\n",
        "# generated samples\n",
        "rand_images = G(rand_z)\n",
        "\n",
        "# 0 indicates the first set of samples in the passed in list\n",
        "# and we only have one batch of samples, here\n",
        "view_samples(0, [rand_images])"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/torch/nn/functional.py:1340: UserWarning: nn.functional.tanh is deprecated. Use torch.tanh instead.\n",
            "  warnings.warn(\"nn.functional.tanh is deprecated. Use torch.tanh instead.\")\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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UKhUAQLlcFku/2WyiVCphc3MTX331laT86wyyVqsFh8Mhyg9AjxczMTGBxcVF+P1+PHv27KXVdExMTODtt99GPB7Hzs4O7t27h2w2eywtZoVVaejUeMoAJrlYPRcdqD/J+/WThdZrGRXDeeQUizVIbLV6+VUqldButyXGks/n4XK5hEZgwJgCipYRvR4e1mEtgtXd14HUyxJ81lYzrTC2BrHb7fB6vVKwqDNpyI0DB5w842JUPPpQ1Ot1FItFeV+Px4NutyuFruTedSEgcLhv2WUGlYZh7FfbX716FX6/Hz6fD1tbW9JnjYLKbrdjYWEB0WgUu7u7cDgc0gcvnU7DNE1pF8IYzFF0Et+XrUaWlpZw7do1hEIhvP7665ifnwcAVCoVVCoVaUOSSqUk1bjRaCCfz+P+/fsoFAqIxWLy+swErFQqQnlqT4bU3/LyMgBgdXVV4jbA+VPV165dw7/8y7/g9u3b+PTTT1EqlVCpVHr29UnAWhXudx2bpMJgE1GrJ8PnHwftYfZjBvia/ZTORZ2TkVMsGoO8FcMwpL9Oq9WC2+0Wa0+7pbQgut1uD72gBf+wr3fQdV82aAVPReN0OnuoGt5H/l8rc03HWF9Xc/+6PQ/XkV7ocdd3WZTLcdlSbPLo9/tht9tRqVTEo2ABIWNcACS7jnEPdvHWbfNPYvnTWPD5fAgEAohEIlLUyHRjvda6dRJwUJ+Ry+VEaTCjj4qFBoTu06cpIrfb3aMsX8aaGoaBYDCIubk5TE9PY35+HsFgsCft96RJPlpZaOqYGKbAHyRXRslTIUZOsfTLuqAVoPtIUYjxO7l+uumGsd+ILxaLodVqSdGdFYNSBPkeZ/0M+vuwXvdlwkpjkQJjjIXBZ2C/fQfbuXOGCIWeDvw2Gg14vV5MTk5ieXkZ4XAYyWRSPMxYLIbl5WXs7e3h2bNnSCaTqFarMAwD5XL5UOX5qB2mfohEIlheXkY0GkWxWMTOzo60wGfw3u12I5/Py7CseDwuwtfr9YrnyMJFYN/r4/1lDchJlYq2pHO5HID9mTBLS0vw+/3w+/2yZxngb7fbiEaj0pV6e3sbwL7gLBQKkrX5+PFjAAdtUmq1Gvx+PxqNBhKJRI83XCqV8PXXX2N3dxfb29soFArntg5WZDIZ8ZC++eYbAEA0GpX9a6V0rRhE01tjipq1OEuAXr+P9mCtcbNROwcjp1is0G0fdGyE6ZZMQWYWkeZ1mS/fbreRy+WQSqX6vsewvQvrQmtPBsDIxgq0lcaDAaBHqdBq1R5MJBJBLBaD3W5HvV4Xi7VSqcgh3dvbw87Ojgiwd955B36/H5OTkwgGg6IoAoEAkskknj9/ju3tbRSLRUnG0Fk8vM5RVy5TU1P40Y9+hKWlJWxubuLzzz/H9vY23G43QqEQHA4HKpUK1tbWRJhFo1G0Wi3Y7XYkk0npmebxeIQ+I0VFmoVxlZNmU5nm/liDVCqFTqcjCtDn8/W0hWGtmGmamJ6exuzsLHw+H9bX1+VM5vN5FItFpNNpdDodrK+vy5q1Wi24XC589dVXsnc4ZbJSqWBzcxPZbBa5XE6U3MvA1tYWfvvb3+Krr76Sgt3Z2VkZjkYlr7t19KO7rYku/D+9ORq+J/UirdB1SjQwAPS06NFnQL/+Wb2isz5XY+QVS7+FAw6Et7YqrA36mHVCuuZlwep1aVxGikxTYvyZDUEZmGUaMukb5u0DkEwwxmv8fr/Ur2jai7GWTqcDn88nglS3F7Eq6VFXLkzBnZ6eRq1WkxgglbTD4ZDU7Xq9jkql0kNpAb3ChZ+V3rlu13IawaVfo91uSycLKhWrEKVQ4/pqullX9afTaXkPKjrSe3yez+eD0+lEvV7H9vY2stmsfO6XAcMw0Gg0kEqleuIjgUBAugno4t9+z+/3M3/XAfnTJgMMej99/gBIgsQgXPR5GFnFovlYrTx0J1ze2Hq9jkKhINlgrLTnQW2320in01J4N6gVSb/3P+01H6VQyE+PqsdC6HurezhRUXAKpLZAY7GYVGFTWPHgkpZ0u93SMp8z03U7ED0cie16mHhBWDlsAIf2wyghm83i4cOHyGazyGazSKVSyOfzCAaDElNxu91IJpNoNpsIh8M9CQ+kP6rVqrS5SafTQi3Syzlt3YfNtj9iYnJyEtPT04hGo/JeWoDp5AHGUwqFgtSbEBSmpCwB9MTRyuWyJHlQgdXrdWQyGfks/SrRzwukDuv1OgKBACYmJuB2uxEOh4V+pbywXtcgGoreHdevn6K0GsfHQSt4fQYpCxk/HlSMehYM4/6PpGLRH4xZF9py4mNIh5ESsNlsKJVKYgUzP55UDGdDHGVBDGNR+ikXwzCEI7dWlQ8DwziQ2vqnx9FqtaS9CgvzSIPFYjEpcpuamupJnmCtBQUN18Ln8yEejyMajUr6MoO2tIo58IudcT0eT8/n5B6gFa9pB36OUUE6ncaHH37Y441xD4bD4Z6ed8A+z6+DyKQdi8UiHj9+jI2NDezt7aFYLErQ/rTp8zxL8Xgc169fRywWkyJF1tVYaZ52uy3UWalUkrPExwL7Z5WTMPXfrQFu3dTSGh/l8857DbvdrsSpEokErl69ing8jmfPniGbzUriD40q696yxkso4JkE0O12JTvS+plOq1y0MtGy0Ppde0hnjesO676fWrG8bNpBa2IungZdet5MXh89A1ocPIQXJXQGBftGEfrQUBDqv1NxAAeCXgf4qSzojegCS9JotI6t9JZ2+63Ws8YgfnvU0Gw2kc/nRUHoqY46y47WvK7L0vQXBXuhUJB263qdTqNU+J2K3u/3C2VspRr5My1m9gij9ayzoYAD7t+aWaX7lem0WT3T52WfTSp6wzBklLOm+k7Tu4x7Vu9/KhhdOgGcXHj3o30HPe44auxly+1TKxZrZs4wYRUwmk/WmxvAoTnfWvlYBeFZDt5Ri3iaa9fXQcU2Sha1FVZumLPMrQWolUoFtVoNhmFIKxEtFFutFlKplHSW7na70iSUdIFV0VJwsT4il8uhXC7LhMGjFLO22vg5RgFutxvxeFxqgOipzczM4ObNm4hEIj0Uila24XAY7XYb1WpVEiIMw5BiQ9M0USwWkc1mjzWarDETr9eL69ev43vf+x6SySSSyeQhAahhs9kQi8UwMzODQCAgXiypSo6qYLGm3u/AgRC3CkD9/5e1Zjyb9XoddrsduVwOz58/R6FQQCqVQiaTQblcRqPROHRN9CK1IUBKc2ZmBisrK3C5XFKw2mw2kUqlsLOzI7Gz03jXVupXK3B+Di3zrMF+ngl6hlZY5dGFeCz68A47TmC1lvTvumhqkLKgx0KOn0V8VvrhJIfP+vOgx/T7O+8RD5BWcqTAzisWMCyrRLvcupW5Viz5fL4n42tra0sq8rmJt7a2sLe3J5lMrJfwer2HLHKuE9uys0U8i+z6XSNwUJHP+83XGgXFQgE+OzuLRCKBUCiEiYkJ+Hw+XLlyBd///vcRDofFkzEMA7VaTWguKlkWndITD4VCiEQiMAwDa2trUhR5HDS15vP5cOPGDfzt3/6txLz6eX7cU4ZhIBKJ4MqVK2IscD8HAgG4XC7UajU8evRIaDJrltpRMUj+/7zXjQKXiqXT6WBjY0Pa0WQyGaRSKYnN9mstREOA8UV2aF5cXMRrr70mirdaraLVamF1dRWfffYZyuWy3BurYTwI2nu1sjf8WTM2eoouPS9muTGOZS041685LBlyJipMfwdOb9334xoHPdcab+mn6fWGvYgA7iD6YJB1Nuqw3nPdmZWbjwF6ZibphpT8e6PR6KnOJ13Wz1vh+1IxMbbD/mH9ro3XR7xsd/8k0JlypFsCgQDi8bg0lWTskIKfqcaMHzLhRAfDSTOeZBxEP1rLZutteMnXGQTDMKSzRavVksJKBuN5PRRmFJxWJa9/PmscYFhgxlq9XpcBaqVSSfasVir62kjnst0R67h8Ph+CwSDC4bCsd7PZlHvMM3FaWnwQ1XvUenONuRZ8vjVNmq9DGaq/vwjOFLyn1QMccKoUOPoD9Nus2kXWbr8uKLLC+rd+7ilvJFMieY3UzifhS0/izWgl1u+zaYtZfw16zjAx7IOplThdbwq2RqOBQqGAVquFUCgkikV7ibSaAIgQDYVCPdYxN7Fp7vd/y2azyOfzUtvAjCEdoNaWmqZLtXc4CjAMA81mE1tbWyiVSrhy5QoCgQAmJyeFErPGUxwOB4LBoCjrjY0NZLNZbGxsIJ1Oy0RUZi6dhAbTwoJWqk41Ps7D4zp5PB4J8u/s7KBYLMLhcCCZTCIWi0kx5NzcHEqlEp48eYLd3V25hkHX9bJhlRU2m02oXc6YYRYc0Ft3ZhgG4vE4lv6/mHRychLz8/Pw+XxIJpNYWFiQjDcaBTQMqtUqHj9+3NPeZZAQ1zKNcUaeP66XlYVhLEvLWCpJKhe73d5DpXL9W62WdHEYhnI5U4yFmprZIuwirGkgChWrYNeWl6YAdOt13jTiuFiJfl9aEDpbggLoRXDU4uv/Wz0mq6VzXhimMB3kFej4C+fdlMtlhEIhVKvVnoA+Ey24FhMTE9KXijUvOhGj2+3KbPDd3V2k02ns7e31FABaLeCTeLMnxbC9He491mrs7u4iFoshFAphfn4esVisJ0jMvUFLuNvtIpPJ4MmTJ9jc3MTz58+xs7Mj451ZL0JK6jgayWok0Luk4NMp3YM+D9PK3W43dnd3UalU4PV6cePGDSwsLKDZbGJqagqpVEr2RiaTOVLhX5QRQJrS5/Oh0WgIravjXRwBTVqYgnlubg6vv/46QqEQbty4gbt370pWn45NkmpjnReNgbW1tZ6iSeu90B4F4zmGcVAgrqks657XspNUpZaPTqdTOigw5ZpKjwpGv95ZcaYYCzN+6LbzA+uAEbsJU3joWgU+Xg+O0jEI/aFOyh3r4DIPJzFsy2iQB6I1/ShZaOcBWjuMq+iiVK61pr7YC8vv9w/0ZJn5RG5ae8ODNvqLKJOXAV3X0+l05J5ohWKNz/FnwzBEsdKa1Lw/gFNN2OTr6/c/KbSg05+B80hYXBgKhcT618PKRgVaaPPz0BAi5ct7xJHM1sSVYDCIYDCIaDSKRCKBaDQKn88nGXNcDxq0zL6jzNPeiPXarL/r82SlPAeFBfoxOsABDcaEA545diphwgK92ZfmsWi399q1awgEAsjn83j06BGKxSKcTidCoZDUIpC7Jd9ID0dX5PKmpVIpPH/+XIqS6JIdF3TnjfJ6vXA6nZidncXc3BwMw5BgGesvhmmV6kOmoS3C4zytUYc+AAwM0sr2er0IhUJy71n8qLl3ZsDQY0kkEvJ8q/fR6XRQKpWQSqVk2JemeJg0YrXWBvH3Fw1eG+8VKS5OadSxESvfzp853CscDotFrL1CAEd6A1bY7XYsLy/j9u3biEQieOONN6SWxrqP+30eTgAtl8tS8MlEGQ67oudJCnPU9j/3sVaseo1okOqEFcMwMDU1hevXr8Pn82FpaQlvv/229Lpjax6+Lr1B1vSsra1hdXUVtVoN29vbPbEbxtL6gQqOdVxcA2tB7FGykf/neXM6nVhaWpJu0/F4HIFAAKVSCY8fP8bu7i5yuRy+/fZbZDKZM6/dqRSLy+XCwsICFhcX8d3vfhfT09N49uwZXC4Xtra2pGcUhTwXi2mWTqdTXEQtGLrdLlZXVyXNlNQaBfQg7am5X1aCX7lyBYuLizAMQ+gUHoRheQt8X03laQ6Uef79KqJH5YAdhX6xMtKMTK1kZhI9EbZgicfjSCaTPbwwlT+FqtPpPKR4OaRqa2sLxWJRejYxdmdNc9eJEaMkuDTowfn9fuk4wKpzKwVG6D3qdDoRiURQqVTEwtTeymk+MwXqm2++iffffx/xeBy3bt3q8SCPOh+macpAvWw2i0wmIzSXw+FAIBAQ2rlYLIpBNyoZegTvA1kN/g7sN/zU2WzA/hqYpomVlRW89957mJ6exuLiIpaWlkS+0SsnldbtdpHP50VIP378GF988QWKxSIymYwwM1Qc1vujjSkmfPD+98twPe7+6jik2+3G3Nwc3njjDcTjcdy8eROJRALlchn379/H06dP5QyyUPQsa3hqKozClLwh00fZ+4lWGd23D7QAACAASURBVANj7ILLYCVdewpcCl9mlrhcLqmdsMYvjromCi56SlQ4pNvOI75hDbpql5oCUeMyUWGantG0AWkB3U5d/439wCg4+VzdndfqznPz6jz/0zRTHGWQs2fxHenh02b6nPT//aBjnn6/X+pWmORy3NnQ8UPGZbTRpGkinRZ7ERmaJ0G/wlzGmKxesU6pptEUCoXEQOC95evwNXUT1kqlglwuh2KxKEY1oZ9j9TB0XZNOBT6pIaWpeb4+Y0uRSATRaBTBYFCMAioYJmGQ5j6L4XYqxcKbValUkMlkpD3J9PQ0wuGw9B5i220KnWAwiHg8LrwlLRkd4Nrb25NBQe12WzKOjouxGIYhg4SowEgbsCiNVomVozwLtKCkYmVKKbNB0uk0arXakQG6YWOYNB8tKb2G1jRFBij5P9aoRKNR6TulLR1rJT3/TkFVrVZRLBZ7UpWpYHRcwZp3Pwycl7InBfj+++9jenoaKysruHr1KiKRiNCFVpD37na7yOVyePjwIdbX18WjP8s1TE1NYX5+HtFoFHfu3MHt27fh9/ulL5l+b6A/hcIALxtG8syxPQ8Hs7EHGvv1jRoY72OhLo1Reh9sOUQjl4PtlpaWcOvWLZlyam3WCezv5Ww2i3q9jocPH+KTTz5BLpfD5uYmdnZ2ZE8z20yzAYxTMa5G49rj8RwysE96zvk8GhUul0sy2m7evAmfzyc0ntfrlT0yMTGBp0+folaroVwuS13PaXCqle929yc30s0jZzc7Oytu+/T0tGwyClYOEaJiYYBLZ/zs7u5Kb6hSqSTWwnFumM1mQzQaxczMDHw+H2KxmLiOpGiY0WKlT04LHW9wOBzCsbIFOluB6+yNl9Wxldf3okoTONjwVjpLHyRmlFBZsMiOMQEWqOr5OcBBU0MKLM6/4JRCpmZqz0UHqI8KXI4SuFfm5+fx/vvv49atWz37RVu6GhTinU4HOzs7+OKLL3D//n2p6Tkt7Pb9yZPvvPMOotEo3n33XSwtLfVQQdZ9oz1rnZpcqVSk4JXrnEgkehqQ0thiN+tRA40gBtRJNZHWnZ6exhtvvIFIJNIjt3TsUBta2oOoVqvY2NhAoVDAJ598gg8//FAyG2lME6SHSaUlEgksLCzAbrfLgLSjYrUn2f/6PPPzTkxM4ObNm1haWpKMM7ZkmpqaQrfbRTgcxhtvvIFGoyFdCM5VsdBKpUat1+s9ab56JjotIWZC6MmOtOJ1a3VNqVgzrY6DlZrRN/Qo2uFFoNOuuTnYLl67yOeZYnxesAaV+9GSuh6Cz9HrwEAu6UHC6lbrrCl6qLqm6aiDNKpKRYNUMIWZVthWaOFBj56H+ixZOlwTCkh68zyLgyxhLTCtfD5fk5Y+LV6dTcX/9VOcowZeN+8JPxMpomAw2CO/Bn0m0vrVahWFQgGVSkUUhK49sVJflB2cHcVYjW4wqtOdiePkmfX/2jgclJXIpBqPx4NIJIJIJCITenWM8yQ4lWJpt9vI5/Nwu93Y29tDp9OB1+tFo9GAx+NBo9EQd5JCl4eIqXd6dkS9Xkc2m5W+OhwSdZKBRZqmKZfLUjhG9xWAVG1TsFHYDSOgSOHXbDbFomEVdSQSkc9SrVYl8+O8g8xn9cKsv+sNx0PHjcl1YZEecDB2lveEj6nVatJuxJq26XK55DFs28KBUQz88np08P6sn/Nlg/ejXC5jZ2cHiUQChmFIK5Z+yprP0XuUBpv2Ik5ieDG26Pf7cfXqVfzVX/0VotEoJicne4w+flGxawMBQE+HhWg0irt37wKAWPter1coNafTiZmZGdhsNjx79gyff/75+dzcFwBbEHEmDGNELFpkAJ7UkTaUj6Mu8/k8Hj58KBMxdfKCXifu53A4jLm5OaGhpqenYbPtd2hnnzgqJ8o2l8vVY3z1Yyn6xXaZoceMPWbzaWOee8zj8eC73/0uFhYW8OjRI+TzeTFu+P04nDrGksvlYLfbsb29jWazKQqFvYKYBRMOhxGPx3sq9HWwnoqF/F02m0WtVutpbneUINYHs1qtYmdnRzY7YzzU+lQs3BzWoNZJ0G+xGAugtRGJRGTDlMtlGIaBUqnUMzKWzx02XvQ1BykYWmqkEXW6q/4b11dX35dKJezs7Ei9C7+8Xi/8fj+63f0eRhwbzWr7UqnUE0/Qa3YeWUbnlVTR6XREsYTDYRG8x3kruo6AiqXT6aBer59IuTAGyIFqV69exZtvvolAINDjMWklRkoSgFRmAxCGwjT32/wzpqg7IlPwOp1OTExMyOPi8fhQY3/DABVLs9mU+CuFKT0EXSKhrft+66b3fyaTwcOHD5FKpbC6utqT/Urw/RwOB2KxGFZWVuD1ejEzM4PZ2VlpipnL5eRaqAS8Xq+EDvQesQbo+10ju1cUCgUx3PSoa/1cj8eDK1euYHl5GbOzs7h//z6ePXsm9WVDVyy8SPZx0gNxAIiVTv6wX2qcXgidBaSLyKwtFDT0wdL8sPX5/Sg2frdmbJ1m42vrUltzVk/IuhHPK0D8Ihh0TVa3W0OvIzc342Y6OMl9wYpmWoAUnP2MBtM0T+StXiboxIR+3XKJfn9n5wIKPVrVuhqbtIk1kYGCnmOANSWsaS5dhc+zS0sd6O0WrmlOTafpxA5em54yOWrgvuVedblcQstroU05cdRZsCY4MOCt27ZYoROAmM1Kb4RMDzP2mM7PcIP2MLTHe5R80ZQmkzDYVcDqDQO9adDM9A2FQgAO6nr4uoNwppVvNBrY3t5GoVBAOBxGt9uFx+ORAKPL5UIikZAskXA4LG0SWCTEFLxcLifN39gxV+d5ayVgDZ5ra1rzknRn6cE0Gg0kk0nxshhM05vCeqP6CT1tGVD7NxoNlEolOJ1OER6ciseMt1HL5Sf0hrL+bP2yxlSoIOh1fv311zILPR6PA9gfcsUiq3A4jFAoBL/fL/VOtBTj8ThcLpd0iaW3Yo219KMUhnVfz2N9bDYbcrkcvvzyS2xubqLRaODGjRuStWh9b64BBfbExARu3bqFSCSCra0tPHz4EPV6HXNzc7hx4wacTieePHmCBw8eCC1pmgcdkBcXFxEOh1Gr1bC+vo5AICDBdSp+0iKpVAobGxtwOp24ceOGeCPa0NNp5P3ih1QsAEY+xsI5OdVqFR6PB+VyWYT8gwcPxINg3RZwuOeaZmCYMVsqlbC3t9cz5kDvLZ2Sn0gkMDk5KU0sGbNm9hYD6fPz82g0GvD7/dKlWLfGssqwo2Jm+Xwen376KbrdLqanp3H37l0kk8lD8R8+z+fz4c6dO+h2u9jZ2cFvf/tbOZ9HJSadWbGk02nYbDYUi0UYhoFgMAiHw4G9vT3JbCAtZBgGEomEdBJ9/PgxstmsNNprt9sSJ9GzrxmbIBWiA/TU9vRI2H6BN5yuI2NApCM4g6Ef7WBdDP27/pmWdaFQEA601WohHA6j0+nIwvP7y4ivDBtWhUIhw8+jlf/Tp0/R7XaFPmClMAdTGcZ+5fLExAQCgQCWlpZ6uGwWzwaDwR5r+ahsMGLUqBaCRlChUMDvf/972Y9///d/L0q1n5VJxWKz7U94vHPnDiYnJxEMBpHP51EoFPD666/jBz/4AYLBIP7whz9gbW2tx1DiuVtcXITP55P0V7/fj8XFRUxNTcEwDBQKBUmPffDgAb799lsJXvO8kvqgQafT0K2xIioWnk8+dhTRarWQz+cB7CtMdg6x2+2IRCJIpVIAgLm5uUN1cNrgoVKhZ8qOBHp0s45faI8kGo1iampK2sGw8zFTj3k+vF6vJHE8f/5csid1OQOVfz9vX8ueXC6H3/3ud1hfX8fKygrm5+eFsuzHsLjdbrz++utIJpP46quvehqLDlWxaOpJB3N1QFDTQlqAcwHq9booFE1f6cwJp9MpG1rTS7Tm9PQ9a18wbWXp4j3NlTId1npDj/JaNLSV0G63JW/fuun0op7EhRwFaGUyaJNqQU/3v9FowOv1itIplUoolUqw2fYb+jEWpzPJdEB/UMbUqN+vo6B5cM2PW639ft4YYxmsneDY4nA4LMVtbJuk957O/CGl0Wg0RFHw/TWNSTqaVDFBylqzBDyH/WClqkcVPJ/AQYKCaZrSldjj8fRk4/U7B/yuv/rVfGlY/8414zoA6DkjTDKgB9hPmet4J//WzxCjvC4Wi0in00gkElLNr69Zg6nKgUCgh3UA9s/3ILwwCepyuZBMJhGJRCQjy+FwIJFISDdbh8OBTCYDm82Gra0tEUJUMrSEmc3FSn7+zCIlfpmmKRqcPCEVDTlEzrRgGxnTNGXBqO37KcPTWMCaFiuXy4eSDnhwKVj4fqNUkWy1qvg3bflwQ+vPQxiGgUqlgs3NzR56EoBYYaQlWcnbbDZ7OHoKPPYco7DsB6tyHlWlY6UneJ92dnZkLjotYb03tOBgq5R6vY6rV68iFouh1WphYWEBS0tLcs4ikUhPGyEqJD0iWtdhaIOHfHo8HpfszkgkArfbjW53v8Py119/DQCIRCKSOr24uIhoNHqk8tC1OqNKBwMHHQUYOE+n02g0GpicnBRPhtSgjt3y81AxezwezM/Pw+12y/AwepK6bT1fY29vD6urqz2trkg/sbJ/amoKMzMzPRSYjo1xn2ljjd+tckYzLczy29zcxMzMjJw7a+0Rs1wZH/3Od74j9YY/+9nPBt7TMysWHhaXy4VIJIJEIiGbkhzhzMwMPB4PqtUqUqkUGo2GtNtmnEMrFmplraGj0aiMb+WB44bn4mmvhI3yrLUlAESw8X96YayZFac5BMz+6XfI9OvQmjmum8BFQMdYrHn39Ow0n0wwPVJnLBFcLx3MZYaKpjW54VkJzWwY/TqXhQLT0By7YRjI5/PY2NiQ3mHa29CBWe0VsA/e1NSU1MHobrnJZBLxeLyHAWARoH5t8vhcR64v3ycWi/W8H4Xd9vY2/vjHP/ZU1ScSCYTDYUQikZ59o0EhzNqIUaaCmZBESn59fR2hUAhTU1PI5XKSYadrf7SBo5MApqen4fP5AOwrDhpkfLxmWNLptKw3E5+4dsy6Y38vsiI6tqLjPFp26T1nveedTkdi2aFQCGtra1j6/9kyjP1o0Eihcf/OO+9IDHXoioXuEVsB0KLVlJN2xelJ0EvRw2/0d2pYFgzR0iXfqPO3tfWvg1NW+k3Tbf1yyq0urfXvJ8VRB6cfdznq6Ha7h4qi+lmdvP86BdFKXersOV3nQmgLXfecuiz36ijoz9loNJDL5WS0Lw2zbrcrwsZaY0IPW/fS45kyTVPOmE4dZVcIUmWD+pTpLEkdlNfvT5qTlBBTx0mhAMfTXpdhHblOjJGStrTWFVk9ZS1n6C3SC6RyBg5YCk05kV2x2+3ynnxst9uV+NhRYYN+XslR95vPIZvA7F7dgskqr7gnGQdlhthROJNiCYfDuHHjhnQyNgxDcuD5O1t++/1+uSHcpJwMWC6Xsbe3J7wvNXs8Hsf8/LwEuFjUtbOzg1QqJWmsnA2uOXpmvBiGId2SW60WcrmctKMg309LWc+BGbZVpS2co6quRwHaytEuNu+PPhzWanqdLab/ztfhBmYfKfYZozHCrLBQKIRutysGi/XwvIjyvyjwOtfX1/Hxxx/j66+/RiKRwLVr1yRDbmpqSmpHKHzK5TJWV1eRyWSwsLAgzQL5mlQIwWAQkUhERhN4PB5cu3YNb7zxRk9fLLvd3pNcQY+FFf6kqIvFomSTbW1tYWtrC/V6XZTXxMQEXnvtNSQSCfGG+JrA4Rqby7JOAKTdPYUu7xGFMQ0prgPvXa1WQy6XkwJEw9gvhmW2F9N7yVrYbDZUq1XxajkuBICEFJhqTMM8nU6LzKNit3qDViP7KNTrdWxubuLrr7/G3NwcksmkdNHW4Gd1u91S6HsczqRYQqEQbt26hZmZGVSrVeRyOdRqNTgcDuHP6UIFg0GZrcHAGNOMc7mctJGmcGHu/fT0tDS1ZFFZs9nExsaGvA5Tk7WnpDNYmE7ZarWQyWR6sil0gN2aaHAe0NTAqCoWDW3B9YNWLoOsOSoOKvBqtYpqtSrdFXTcjAOjQqEQOp1OzxRQK198Hmt03tSaaZpIpVL41a9+BZfLhevXr6NYLCKZTGJ5eVm6NgC9imVtbQ3pdBoejwdLS0vyerznrHWIRqOYn5/HzZs3EQ6HcevWLaysrPQE9fVrE7SuDWO/mNfhcEimI2NCa2trPR0xpqencefOHWn8Sqqzn2c+yjRYv0SDdruNUqkkexU42OuawqWBSCO3VCpJVis9j2g0Kvu+XC4fkjXsXkE6jWm89EypYGhEMD6tZRgw2NgadM/5d5YKPHr0CI1GA9evX+/rsZCNYj/Ik/SAG0oFk5V6YiDRCgoIxlY0NQYccNK6YFKnO+piLb6e5qVZdU/LTnsmWolY6zFGcdNfFPTG0oqin+C1ei7HYZAC0q+nv/Q1vQpghTtjcjwH3O/9qMZBGUCkKf1+v8RHYrEY4vG4tHWnF68NKU1r0ipnLRZjk7xGTfHoYlgKU8YVrWedgvCyrZtVGepibuAgYK/vo6aUdHAdgBiRjBnyDOmCU32vrGUPuoiczEG/upWzfE5tsOnOGVaK2hpeOKlRfKaZ96wL0al4vIG5XE42eblclrRhZh2Ypol0Oi1tpPUm5gKsr68jGAzC6/UinU4jm83C4XBI7Qy5vlgsJp1WOUTp5s2beO211wAAT548wfr6uiyCrqjt56Wct8Xaz8IYRVhda/6NYPwFQI8CsP5fdz2wHir92hq60Z+1m8Go37fjQMuPwpjUMCcNMvOInbi9Xi8mJycl+4sFiqSfDMPA7du3xTIOhUKSksy2Rp3Ofhumra0tNJtNqb1iJiPrxra2trC9vS3B+8nJSWlJ4nK5RIDyNVjzMjU1hVAohFAo1GO8cRzCZVEwWmlrhby3tyfdC0jPMl7c6eyP+/j2229RqVSkPRWpMAbxKcAZiGcvRWbY0ZtlATdlod1uR7Valb6MpM76xYpP8vn4XRvirKzndWglChwkNlDJsfD7OJypjqXRaGBzcxOVSkV6+utZK6a5n61SrVbh9XpFsTD/mRPotAfC+IphGFKc5PV6MTs7KwqKHg2TBsLhMEzTRDwel/Gtt2/fxltvvSUWQDqdlkCpbtdwEUK+n1UwqtDCXCsSTX9ZU2QJ/t1aO6Rfl8/Tf9MxF/59lKmUk8LqcVDQkKqtVCqSFcTiUAb2JyYmYLfbpTW9jpNQ+czOzspz9DrRGs1ms7h37x5KpRK2t7exvb0tioW97LLZLIrFIoLBIK5cuYJqtSqtYnSdTLPZRKVSwddffy1dAO7evYu5uTkAB8Yb2YhRXjsaxP2UCg1i0pA+n0/qfMrlMjKZDGq1GtLpNDY3N1Gv12WYV7PZlLiT9gpM86ADhfYwAUgPNvbOK5VKQpft7e3BNM1Dk3eP+2xW8DMy+UP37SPlZs1kZDIDjQr2czwOZ6LCtButaxEozHU8xe12SwU2A1vWAV7Wm8BeZABQLpelFoY3xzRNSWkGIAFQzmPxeDzodrsSsNS54xdlAWv3+jKjnzIZFDvSioV1FKxn6VeQdZGeyct4TyoFKgZ6Z9yf1vgHq/XZFNL6OAoKK13Gc8izls/nkc/nJQ6Qz+fRaDTEuramsgIHLdSDwSCmp6dl+iHbwGv6x7qnafxxPhMTAk4ikC4S+h4CB/0AWbzIrh30IqgEaBiQemecmZ1BgIM5RCx0Ze1QIpGAaZoSm2ERsY6hsZj7LJ+F0JmAlNfAAZVHQ4LZnXwc9wY/G+NPx+HUikVr0VKphJmZGczNzSESiaBQKCCdTqNUKsHlcuF3v/sdQqEQ9vb2sLGxgWq1irW1NdHGfD39HdhPy9TtXZgOx/xuh8OB2dlZLC4uSmfQZDIJp9OJWCwmrVU4RrTb7UrdylncyGGASuW8g8TnAU17cUPqtGCOqbbGRvgYZhIxBXZ6elqKWq3ejE4NJy7jPdOg9RcMBnHr1i3E43EEg0FMTU3B7/djYmJC6FxmhtF4mp6eRiwWkxoSUmHaE+T904Vzq6ur+M1vfoNcLoft7W08f/5cMpfy+XxP2jctVSq+WCyGZDIJwzDwN3/zN1heXkYmk8FHH32Ejz76SLwtKgvd8ZrXFYvF8A//8A9YXl7G9vY2/vM//xN//vOfRy7+wuuwGqDAQUcNPYSu09kfwLa6uiqJKLlcTuQUFS+LvLlenFFz7do1fO9735P1ZBZrsVhEoVBAtVrFV199hUePHknGGbt9M6aljYqj7qM2/Jj+rGN0nU4HGxsbaDab2Nvbw8zMjNwTnr96vY5MJiMGybNnz6QVzlE4s2KhW8jGgcz+YrsAusNutxupVAqPHz+W6nSm8fV7bb4+DyPndTgcDkSjUSQSCYRCIUxOTuK9996T9txasDHew8NKK+AiaBUd8LrM3op2ow3DkGpkm82GZDKJqakpoXEInUETj8dFoEaj0R7hqKEFHg/QqAihF4Fp7neKXVpawsTEhFC5FOSMEdIz73b3e6/F43F0Oh0ZoEXvUAtBfY/IiT98+BA/+9nPJFW4VquJ4qEi0OnvFDxut1uGPDGWubKyglwuh9XVVUnYoNDTM9xpCfPa3nzzTVy/fh0bGxtYW1vDl19+ObBFykVDxwJ5XhlXYJNcToPc3NzEZ599JqO0uV+1x8emvA6Ho4eqv3r1Kt5++23x3HmedM0d+7RxLDC9JHqt9GSswXRtpGsFRO+J2Vz68zHrsFKp4JtvvhEDnFRmqVTCxsaGjLW4f/8+tre3j72fL1R5zyBTrVYTd5DBJy5Gu90WN48BvZPwg7TuNT+ps8WAA6pFHzR9eGht0MW8qA19mmyKUYZOPeS9J1erR90S1gA+HwP0WkU8WMyAsVKllxVWpcjCX/b+Im2rpxRa+0HpzMd+9KEG7yE9fg5Ns6bY62QWvqbm2/WAPlJiNASY0s/XOSqTjR4Qq/VnZmakMwbjN3qtL9KT4efh/tS0EQAxlDUtpNu18Pr5WXQGKu8tYzV6rXWiCt+P8pPylO91lqywo+QOZSs/Fz0uyk7G4biPKpVKTzr1UThTVphGLpfD559/jmAwKMWPVC6NRkNaflCxnGTz6CAS+2/RWi4UCgAOOmtqL6Tb7YrXVK1W8ac//Qmffvopcrkc1tfXL9RauswWuBYUPBA+nw/hcFha+lib5AG9XWC1C865FbS6TPNgXvjW1hZKpRKKxaK892WGvn52HL569Sri8bi0adGFcBrc9wCO7ErAe1gqlbC6uopisYivv/5a6susXaKtiRl2ux2JRAKLi4vifWqhBxwoRb/fL2evWq32neXO7/RIk8kk/vEf/xHXrl1DsVjE48ePsbu7i1KphLW1NRFmlUpFSg9eJkzT7ClroBHEujq2VGEt3M7OjrSl4vOBA8Wo03QBIB6PY3l5GeFwWNpc6fHtACQmVqvV8OTJE9y/fx/FYhGZTAa5XE7qa3RH4373fRATpOlK3XGBMpl9y5ily/hctVpFOp2WhAJ6N8fhVIqlX7C1WCzi0aNHPVQJU5IZS6E7eVIr1KqRuVj0QOx2+6GGj/wql8vY3NyUw/Xpp5/KJrC2EhljMLQiJLRy8fl8QmkxuKwDhADEw9RZXwwI0uigB8pJi6wuplV0lIWu0Y8SuGhYD3swGMTc3BwWFxcRj8cxOTkpMRVCxyDoUVDBWD0a6/MKhQLu3buHTCYjsUxWfPcD38tmsyGRSGB+fl6oZt3HTffvY8otALGk+1G8vF7TNBEIBHDnzh1cvXoVxWIRf/zjH/H48WPk83mYpilt/2mVv2xoY5f0Lr0KKhf22NrZ2cHe3l5Ppbx1na3fg8Gg3NtYLNbTfkezMiz6fv78Ob744gsUCgWZcdUv9Z4/9zNWrRS8NvAoozUbVCgUsLGxIYWclJmk47SiOckaDaVAkppef2CtVc/i4uobw+eSemORVqVSgc1mE37aNPd7G+Xzeezt7UlMR1tsY5wMVjqm35eOoVjrT/TrENwXdO9pgJAeYXW37ht3UmhLcVSgrXfDMHqaQVKA6XPT7/nWL8JqGZMXJxdeKpVOde5IW+nJkZr7t072tMYi+lX2W70XNhidmJiQBJ98Pg/D2G/QSSE66H4MG9b1AXo9M94LHf84ajTvIAOIXUX0XBft5XS7XZFb9NZ14Wy/1i0aR1Htep/QiKBC0ZmyzBKkd8YCXioSPeb9JGtzKsWiKSprNg//zqC+DsJqq/U078UPDRzUzzCb4fnz5/jkk0+kfQU/9IMHD/Dxxx+jUCjgm2++EctiFDJRLvr9j4POIqHFSqWhA7zaeqbAYPIE+Vqum85AofW8tbUl94L1E5VKBVtbWxKr07TlUfdNK5NRur+acuC9jMVimJmZweTkpMQx9OM1ZQhA+HndQsSqXHRV/NbWFj777DNsbm5ifX39WMtSG4CsRwsEAlK8aRiG8OrWbDIWDLrdbhSLRZmiSppHC20KVnoAd+/exfXr11GtVrG5uYl0Oo3V1VX84he/wP379w+t+3kYhVqG2Ww2WY9YLIbr16/LsDPS6yxmJV3H86D3nF47eiSmacLpdEo3aD6Hwp1C+5tvvsF//dd/IZ/P48svv0ShUDiUAt7PKzkKWnbqn3W3Zd4D0nqZTEYMeHZRofdCynDoioUXq9NPtcDWrjsDcycRDlZYrU/eFL5eu92WUasMfHq9XnQ6HTx48AD/+7//i1wuh93dXXHVR0XojMp1HAUqDi0YKSB0ERl/Z4CWMRNNv1AY6v2QyWSEGiWHzJRHWmpWDrkftPAaxftKQcORAYFAANFoVFoOWeOV+rDzO++9NXDfz4vf2NjAvXv3sLW1JZmbR0GfTa6hz+dDt9uVWgUqFMYXqPB1B3JOf2Vtji7y5Hf+jV4bsH+eZ2dnUa1WsbCwgM8++wwPHz48VBJwnoqF+5trRIoyGo3C5/OJkmVmHavfudf1fdT1g08x/QAAIABJREFUXHptXS6XdJjWbVy0p/7ll1/iN7/5jYzz1h7nSfb2IE+m3+futy9ogDOVmO/LQP5pC8pfKCusH+dHxWONfZwGg9w6nRFBy5hN8xjP0cVKo5raOMqwWjLWLyoVa+CRDfp0VpemQTVdwpx/1kOQX2dx2Umpy1GkvzRYGDo9PY1AIIBkMiltW04SO9ICql8MyTTNntnt6XRaBMRp4pk8N/RIUqkU3G43TNOUruC5XK5noiLLBtioMp1OCyXNhpT9PqP+G2M37MDMJqSkul9WvEVfI+MRmnEhqIh0lxD9GjoGxp+psPSoZq1YdEYWC1Z1/HjYOCreRseA90HL+NNey5kr7/V3q3LRN++oD9MP/YKS/LteEBZ+kQsl3bW2tibtFujejXE89EGh1Wmt1mWgnoFc4KAbLDOFdP83QleM22w2lMtl8XZ1SmwmkxHhxgmfpFgHZb2MqlKhh3ft2jX85Cc/wZUrV7C8vIxIJHIoq2sQGESmNQz0ehmdTgerq6v45S9/id3dXTx69Ei8v5NmXwL7a3b//n3s7e3B7Xbjs88+k5kbTAGv1Wp49OhRT6sRFs2Zpokvv/wSMzMz+Kd/+ifcuHGjxxvg/bDGAujNOZ1OTExM4MaNG9IuhVlt5wm9p3g/q9Uq8vk82u22jH/mWjJ5gYpVfzYA0lGBj2Vbl1gsJiNEbDabnJV8Po9UKoVisYjNzU3s7OxIBu3LZlkY+7SGLbQcPw3O7LH0e7OjgksnwVGHTS8+AFQqFezu7opFQOuCPD2pgFEVPKMKCnGdDqkDmxw9zd5RACTFmwdOZ8uQHtAWm64QZ0txCiqmx+r0SOv1XYY1pdU6Pz+Pv/7rv8a1a9fEMrdSYP2eCxzEp6yGm46NPHv2DD//+c/x7NkzoWtOY2GS7mATSmvsQWeH6TPFGAxH+TocDty+fRvvvvuutOvn86zBfIKxDWB/FMfi4iJyuRz8fj+ePXv2UhNueM+4D9kwkkkMVIJut1uMHv0/nhk9oDAUCkn8kUrGZrOJEUyFQq+QRtZFUPfcB8PCULLCNKzBrPN4fSoYeiRsuUBB1a8tyBjHw0pfWDPAWLtCK5NCgRYtuWdrVhiFIIOe1jx88u80EpiNRG+FB/gyKBTC6XRienpaArYvchasn51FydZR3y/S5NQa0+C6dzodSRu2Cjz+TIHEKu3d3V3pksxGjMd5aTo5RGcYnhd0zFAremZocXwAOxWTpmXdD/sRasqMVj8NLNLDemIuZRffh/0T+TxgdL3w02DoikVjGDfISoPwiwvOdgepVAqmaUoA+KSpcYNolldhcU+DQQdNeykrKytYWVmB1+vtUSw7OzvSMVfHVrTnQeGnX9swDGnbrQ0BtgthoJR/G9UMsH6IRqP46U9/ioWFBfh8PhkJARxudjgI+vPqPZpOp/Hf//3f2NnZkbqVYSap9IubAoNZCgrWVCqFX/ziF/jiiy8wPT2Nn/zkJ7h69apkhVlb/uj3MgxDBgMWi8VzVSya2tJKk4F61lIxE8rj8aBQKEimls/nw8zMDBwOBzKZjIwkYOdfwzCkpYvX65XMR2u88enTp3j69KnQf9zrlEmjvsePwrkqlpOgX1DyJJQYMypsNhsqlYq0liYnfFJusF8KJ/8+7IUdFCcYBdCq1JlIAMQ6Yw+phYUFBINBycunC53NZgGghyLjwdR58nwvChuOI7a2sdAzvplzr63qUT94gUAAP/jBDxAIBOByuXrSRk+Dfntmb28PH3/8MTY2NkQwDTvQfRoFTmGZz+fx0UcfweFw4MaNG7h27Zo0HKVSPeo9GJfQXYHPA3r/kUZnnUaz2ZShZwzSe71elEoluc/sWeh2uyXZgcqC60C6i0WGjCvS22w2m0ilUtjZ2ZG4zqvEsFy4YjkrdMaRDuyfNovhZQona/ByVEDlOoiu0EkZut0FU1P9fr+kG/ejBgD0BHJ1h172UOp0OpIZxMIsFsuN4j07Dq1WC7u7u2i1WpJeywZ/LwqmgDI2NSoCSXsvlUoFm5ub2N7eRiAQ6Gm42G89O52OxGsKhcK5Z4TpLCjNbugqdXYM4c/A/l5k1hqD/Xp4oPbudJ0KqTT+zs/H+8LzoKvh9bVeNoykYhkkgLXCsFYB93uM/t9RizPof4My1F4Eo7ZJNC2jK+l14Jg0FKkrtsnnlEIeFHocDMDncjlUq1VJu2XwkkFsdqyORqM9w+A494JpzHoeuF7PYXotw/aAisUifvWrX2FqagpvvfUWJicnMTk5KUPxTkqHaXBvs5X55uamBHtHBRTY6XQa//Ef/4H79+9jaWkJ//zP/4yVlZWe7EA+noroz3/+Mz788EMUi0Xs7e2d63XSQya7oY0hXY8HoKcrMOt2vvnmGwCQ+ST0UEj9NptNeQ0OWGOKPRWZzWZDJBKB1+uVeVLMGmPN11k7l1hxHrLsKIykYjkJtHVgzSfX0GmOx2WsnYbzfpWglYq1KI9UF70NphqzK69hGEgkElI/xJoiUpUEaQ6Hw4FgMIhAICCKhTNzTNOUmFmpVEI2m4VhGEIjMJh/Hkpl2KhUKvif//kf3Lx5E/F4HKZpShHvcZTvUf8nDczuxRRWowJee6FQwO9//3t88skn+M53voMf/vCHWFpaAnC4kS2Nl7W1Ndy7d6/ndc4L9KathqfV6wAOWrJwpDB7ejEg36/bs6bFOPqDSRF8P8MwhCrlLJ5B9SMvst+1EfOyqOSRVSyDvJaTeCD9YiYnfU/r819lDPqcOhtMV9obhiHuvVbqbrcb0WhUcvvpxZRKJfj9fpimKVXnDodDWoewGj0YDEp/Ig51Y0aSlWK4LIrdNE1pxJrL5eByuZBMJk+lBPRnZTEd633YV22UlMog6Ewo/q7/x99ZLMm42nl9tn7xI/2zlc7iz/QydGLKIEVg3ac8Sxz6BexPxwUgXjyHflHxDmOcwCBZ+Mp7LCf1JoDDnkm/5+iFsXYGOO01HXUtrwoGKW/WsXDDsyCS3kMgEIBp7hfukc7qdrsoFArI5XKo1+tS3GeaJhYXF7G0tCRD4Rh3oALTqZj8m567rnGWNT0K5xH76nQ6KBQKePbsGTweDyKRCADg9ddfRzAYPNW1meZ+99lvv/0W2WwWf/rTn7C7u9vD748auIfYg4sdFljfols/8fqj0Sjm5uZQrVaRzWbPbZSx9k4GXbuG7vKs5wZpxaK/CO3xsKfe5OQkEokEbDYbCoUCdnd3Ua/XpQFlrVbD3t4estks2u02isViT7zptHv+omTZhSsW4OTxj0GpwRqkdfiYs95EvSCvqlIh+tGHurDR4/EIz8xZ5zqYyQFGACStlHPOWZk9MzODxcVFoRSoqGidNptNhEIhmcfOIKnVKh+2UjkvdLtdoQIfPXoEn8+Hubm5gYWfg8A9XCqV8ODBA2xvb0tL/FHuLME9RANFx8m4l7QwZvwumUwin8/LPJ7zwiDZoNdFd2xmejL/zn3L17K+prWWi90sOPGW1DNb1MdiMcRiMUlY0QO4hklbvaxzMxKK5STQws5ms0nDPJ0RZuU52eDtRWiUURdgw4BVeetgJq0zYH+w097eHqrVqhwQ0gOkwHQMgS1gAEireFqwVP46d19X6JN+owdjvb7LEu9yOByIRCIIh8NCdQBHJ6jwu+6ZlU6nsbOz09MSf9ShOzTs7u4inU5LSyBd00I6dX5+Hrdv35bGpKSKXvY6D7Ly6aH0q1C3XqNOBNDMCRUMq/PD4TC8Xq90TW40GggEAggEAuKRsvnnWedJXcQ5GXnFovl+nef+5ptv4ubNm3C73T0jkYvFohQ3PX36FJubm7Iop60juAyC60XQj2rUtBRwQCfa7XY0Gg3s7OzA4/GgXC5LdTXjJGybzyBlNBqVDJvJyUn4/f4e5UEFxswcl8uFaDQKAJJFxkpnctsv614M4/W63S4CgQBu376NiYkJLC8vi7Ls192Y4D3f29vD559/jp2dHTx+/BhffvklMpkMUqnUSHsrwEEfsEAggHq9jk8++QRbW1uYn5/Hj370I7H+eQ+i0Sh+/OMf43vf+x4ePHiA3d1d7OzsALiYkgCr8cIxvTabTeQJ/98vtsLOIDTOqGBYu+VwOGRks2maWFpawrvvvotWq4Xt7W08ffoUxWIRgUAAhUJBaGEaeaOOkVcsBC1a0i5zc3O4e/cu/H6/FC+1223s7u5KcDOXy0lF/mWw8EYFPAxAb41LuVzG1taWZHOxWlhzybq2yOv1itvPKZPkm3UhJcFeS41GA263Gy6XS/oynSS+Nmowzf2q7WQyibm5OUxMTBxqt97PMuZ+LRaL+NOf/iT1IPfv3++ZVzPKYIzF6/Wi3W5jdXVVxhG/9957mJiY6KmdcrvdmJ2dxfT0NBwOB5LJ5IUl0fSjW3UXCaKfYiHInFgNNXos1pqeUCgkhhazJvP5PFZXV6U/mVZmo45Lo1isN1PPobDb7bKBfT6fUGQcOqSDwid57b8kULhZM6+0x6KzZPhVr9dlFjcPXL9hVGy6yP5iOnDLLx1n4dxvAFLZrNv0a8XFax1VmOZ+s8ZMJgO73Y54PC6B2H7UCaE9R8apcrmcZIWNenNVrg1H2XJYGTs0rK+vi6ERDocl5jKqGNTKRn8fBNPcHz2wubmJSqWCSCSCYDAosoljFPR7tdttMaL9fj8ikYhQx9aR7KOKkVcs+uZpa479pLrd/el3rBVgwJDdj0m/AIeFkn79y7BY5wXyx7VarWfIFL/rDrd8bCqVwjfffAOv14toNCqzvOlpOJ1OTE1NIR6Pw+Vy9RRU6nRSBilbrRay2awUkpmmiVgsBo/HI9kyFKiDhPOowTT3h5p9/PHHCAQCaLfbeO+99xCJRA7tQWuw12azoVqtyvxzKhgmM4xq+jWVImOcbDyay+XgcDhkFPHs7CyWlpbwox/9CNPT0wNjFBcJqzw4S+pup9PB48ePUSqV4PP58OjRI1y/fh1+vx/z8/OYnZ3tibtw7dlif3Z2Fq+99hpKpRK+/fbbnnlHZ2kR9LIw8ooFOJweSCuXFdrBYFCCxLzp9GKcTmeP1cvX0hbvSTfJqwwqDOCgXTvjGlYh1u12ZZaE1+uVADPrEBgHm5yclD5jemStVuZULhyBSiVimvsFhQCEQgMg/Zsui9dSqVSwtrYGwzBw+/ZtaREyyGPRwottYba3t6W9yEUL2+OgFYueYqlTyDnr5M0338T3v//9gUplFNa137pYjdHjnp/NZpHL5WCz2ZDNZpHP5xEIBCQRxufzwev1SgEx67y8Xi8ikYgYZzs7O9jZ2ekxsEfhHvXDpVAshG6Vn8lksLGxAY/Hg3w+j3Q6DcM4mNHNgD7bdjudTinWs/azYvaG7uEzqgt2XhikXHXvJP5us9mkyr5er/cMAmPmk2ma0k+JRZW64IuxGWbC8N736/WmldyguptRXS+/349kMgmfz4fJyUmJQ2kjB+gdZKfpRgrnUVcoVmiaU8fIut2DtvTZbBZPnjyRinPGjh4+fIhCoXAoc/CiPke/v52UCtOP4ZngaG62NXK5XPB6vWIIT0xMIB6Po9PpoFwuCxMQCATg9/ulk7K1hmaUcGkUCy0gHsp79+7h6dOnUhdBmkVv4na7LcFjWgSmafZ0L+VcC8575sAqvudfEqzKhQqAdIYGM1Xsdjs2NzcRDAbhdDqxuLiImZkZ+Hw+GdzV7XbFY2TsgAqnXC4jnU5LF1jd0I/Xw4A/K/o1Rt1rmZycxN/93d9hZmYGV69ehcvlEuNIx45o0bMLdLPZxObmJvL5vHgql0G56HXQdSCcsdJut1EoFOQzAkAymUSz2ZS29NlsFo8fP5bYy3kVSh4Hqxzot9dOuu94nlg87HA48PjxY8kQY2zY7XZjenoaU1NTYoQwRXtqagq1Wg3VahWZTEbOp3X21CichUujWAD08Iq1Wg07Ozs99Q9s8c7xoIlEArFYDC6XC+FwWHpSeb1eEWKcM80Fo2U8CotzUbAenH4Wo86QcTqdKBQKPbn5hmFI2xG2C+c8Fu0lUqFw5r1VqZDysg4QA86vIeWwYBgGwuEwVlZWcPv2bQnCttvtQ7NJtMfCvUiPcNQzwDSOE7r0TID9QPTvf/97mV2STqflDGr68yIxTJqcyRxUlNy/TDRifHJ5eRnlchkulwuxWEz2jc/nQzQahdvtRqlU6klo0ft/FM7CpVIsGlaOnXQNrWun03kof5xUGC1mNkpke4azFiC9irDGQY7arFQSzPHXrcF1vy8r9agzwfidzf2ss1n6DW4b9dgYqdmNjQ0AQCwWQ7PZhN/vF96cSpf3oFAoYHNzE8ViEWtra6KYh0l3XISXp7MFaSA4nU7Mzs5icnIS2WxWCpp17dqrDG0Q6UavhUIBmUxGsiJZD8PBd3yedfSzft2LxqVVLASVCoUfF4LpeqFQSJodzs7OipLh6NFcLtejXPiaf8mwKhPd4pzfrXUl/J0xLh4EpoOT4iKdxWywXC6HTCaDZrOJXC6HQqEgabZsW0Kh20/xj+pa0ZPOZDL41a9+hUAggGQyiYWFBQQCAbz99tv44IMPEIlEsLe3h08++QQbGxvY3t7G48ePpQarVCpJzc9pet9pa9gay9EC/jzvn74GZmsyWaPVamFiYgLvvPMObty4gefPnyOTySCbzQplep7DvkYFvP/6fGxtbcl9CAaDCAaDPXOQgAN6kc8dtXNwqRVLv0PGGAw9EtI4THkl1cDMI1qMfOyoLdBFod+9HZR+qb0R9oRyOBw9noYuGGPQntP0OMOlXC6LktcJGIM8Fuv1jRrsdjtqtRqePn0KAIhEIsjlcgiHw4jFYkL9lctl3L9/H8+ePcPm5iY+++yznl5Zuved/n4c+ikXrVheFmWii2x18ozL5cLU1BRu3rwJ0zR7Wt68LI9lFGgjoLdejEaVYRiSpsw6qFgsJjJOlwKMGkbvisYYY4wxxrjUME6jrQ3DSANYO7/L+YvBommayWG92Hhdhoahrct4TYaK8bqMJgauy6kUyxhjjDHGGGMchzEVNsYYY4wxxlAxVixjjDHGGGMMFWPFMsYYY4wxxlAxVixjjDHGGGMMFWPFMsYYY4wxxlAxVixjjDHGGGMMFWPFMsYYY4wxxlAxVixjjDHGGGMMFWPFMsYYY4wxxlAxVixjjDHGGGMMFWPFMsYYY4wxxlAxVixjjDHGGGMMFWPFMsYYY4wxxlAxVixjjDHGGGMMFaeaIGkYxol77HPCGScGDhqD2m9S3DDne48qTNMc2ni806zLGV//0N+OWh9OC/T5fPD5fDJGVY9SbbfbsNls8Hg8cLvd6Ha7Mpq42+3KxMjj3mvYGNa6nPeaHPG+ANAz3tfv98s68Ms0TTSbTTSbzZ6JnhqcCqrXwTpR9CjwGoAXHoOcGeI8ljNdhNPphNvtht1u77lvwMGobk50NAwDXq8XHo8HdrsdPp8PXq9X7gfvCe9nt9tFqVRCPp8/NHWV0zZHFAPXZaijiXnTDMOA2+2WWc31eh2lUunQTHnOcbbOuOY89MuqYLi5uGku42cguEaEHkOsPxsPi91uh8PhgNvtxne/+128+eab8Pl8SCQSSCQSAIBMJoNcLgeXy4XXXnsNy8vLqFar+Ld/+zf88pe/RKVSQblcRrVaPaRkABx6T/23UcRJr1OP5eV3LYR4v/sZYgAOCTYKt/feew93794VAefz+dBut7G2tobnz5+j0WgglUphe3u7R4h1Oh1UKhXUajWZVc/x3XpN+u0Dm80Gr9cLl8uFTqeDarV6SHGd4p6d+2AuPd5X7zWuQSKRwI0bNxAIBLC5uYlnz56hUqmIjDIMA36/H+FwWPb1zZs3EQ6H8Z3vfAevvfYavF4vHA6HnCcaWPV6HR999BF+/vOfI5fLoVgsolgsotlsolAooFAo9NxfrZDOiiGNZB64Lucy854futFowG63o9VqHTuv2+PxIBgMwmazoVwui6a+bIJZL9hlU4xWgUVlz8PVby30c6yCsVaroVQqwTRNTE5OIplMwm63IxQKoVarweVyYWZmBsFgEC6XC7du3UK5XEapVMKTJ0/w7NkztNttlMtl1Go1AL375zLdW+D466WA0t+BXmEN7FvPDodD1oTKwOFwwOVyiZcSDAbh8/kQiUQQCoXg9/sRCoUQDAblPXw+H2q1GpxO5/+x92XPcZzX9adn69lXYLASAHeKonZbiRXrZ8flhzyk8pb8i3lLVSp5SFJxxSpbccmSI5ESRXEDCWLH7PuGmfk9sM7FnQ89IAAC5Aw5pwqFrWem+9vuveduaLVaaLVaaLfbaLVaA/fFPc3PGra29drvdrvodDpjtYeH3Wer1UI2m0W9XkepVBo407RCDUDOvnq9DrfbjXK5jGazCcuy4PF40Ol0Buau2+0inU7j1q1bqNfrMgfNZhM//fQT7t+/j3a7LVblWZwr5z0fZypY9AO3223s7+8fSYVxsbpcLsRiMVy/fh22bWNtbQ2NRkMW9wibggIuLI7BuGwkQluM+m+0QFwuFzqdjmis/L95vd5cpVIJe3t7aDQauHnzJi5cuACfzwefzyeWqtfrhdvtRq/Xw29+8xt8/PHHKJfL+K//+i/86U9/QrlcxtraGprN5ktpaK8TJ1kL+mDW40trhBRjLBYTWqbRaKDf7yMQCCAUCsHn8yGRSGBqagq2bWNpaQnLy8sibKLRKCzLwtLSkmjMX375JTqdDur1OnK5HHK53IB1qumZ46zxfr8vBySAE8/dqOwf3kelUsHa2pqMORkV0rzm/q9Wq8hms6jVatje3sbKyoqcZ5xbTQ8vLy9jbm5u4Lnr9Tr+/d//HfV6HeVyGYVCAe12eyzOl3OxWAAMcLMvQr/fh23biMfjsG0b+XxeJPu4HSZ6cY0bhgkKbbXoZ3PyvWjh0mq1UC6XZQORiiFFYr6fx+NBPB5HtVrF0tIS7t+/D8uy4PP5zvnJxwP0j/h8PoTDYXi9XtRqNTnsA4EAotGoCJZoNCpMQDgcht/vRzgcRjgcHqCfW60W5ubmEA6HAQDValU+U1NwplB5kWAZxz3ghH6/7+iDAg5b6byeFku/30etVkOz2YTL5Rrwmfj9fgQCAbjdboRCIUxNTcmcuFwuNBoNXLhwAfF4HN1uV+ZlHMb13ATLcaAHsd1uo1wuw+/3w+VyYXp6Gu12G5VKBaVSaUBTHlW8iO4bdej71oe+tjydruX1/DuvazabyOfz6PV6ePr0KZ4+fYpgMIjZ2VkkEomBw818P2rllmXJmniTDqvjwungcrvdsG1bnMm2bYv2vL+/L3NGK4NWDfBc4dPWKedrf38fnU4H+/v7aDQaaDabYqEOs1KG+YLGcR+c9l5J+QFAp9NBq9WCy+VCuVyGbdvw+/149uwZ/u///g/BYBBut1tYgPn5eXi9Xhk/WqT83ev1wu/3IxQKodFoiHUzDnjtgoWD3Gg0sLa2Jk7/W7duAQAeP34stNgoL9pRu5/TwMl/wcOFf3OKENKHnnYwFwoF1Ot1ZDIZhEIhFItFxGIx/PrXv8bNmzeFFnO73fI+PCCTySQWFxdRKBSQTCaxvr4u7z9uVuxpYUZMcszdbjfC4bA4g3ngFAoF5HI5tFotNBoN7O/vo91uo1arIZfLIRwOIx6Py57TfkxGOrVaLVQqFQm2abVajr5OLVT4fhRoTk79UcfLChYdxWVZlijFHo8H29vbuH37tliSkUgEgUAAH330kfiVaYmadHIsFkMikQAAZDIZR5ZgFPHaBQslNCNQWq2WOBjp6GWkC/BmHOCjCDPqRMMM+3XylZmvJR3Q7XbRbrfx7Nkz2LaNaDSKTCaDVqslWpl+LV9v2zbC4TDa7TZs2x4IXX3bYD43fVMMgbVtG5ZliR+K0UYcz06ng0ajIb4sJ2qThyJfS+vFtFjM+9KaNoXeUWvpTYSTwkuBY1kWKpUKtra2RGGan59HNBrFxYsXZZ44J1SyAIiwoeVDX8444LULFpqG4XAY8/PzCAaDWFxcxMWLF+VwicViqFar2NrawtbWlix+hi9PcHY4TuTSUf8zhYveXDs7O9jf30cmk0GtVpP/Ac+FVy6Xk8ib77//Hqurq0KFAs45T28y9IFFq0AHU3g8HsRiMczNzcHj8SCVSiGVSgl1SYWN2rSmwcj3U6g0Gg1Uq1UUi0XUajXZX055LE6+OAotfsbbJlw0+MzdblfmiUEq0WgUyWQSoVAIiUQCsVgMwWBQovnMgI14PI7FxUWEQiEJcx6HMX2tgoWbxOv1Yn5+Hjdu3EAkEsGVK1fw0UcfwbZtFItFbG1toVKp4C9/+Qv++7//G5VKBY1GYyz8LuMEJ6rjpOOrr9dO31wuh0ajgUwmg3feeQe7u7sIBALiFG21Wvjmm2/w1VdfoVar4dmzZ3jy5IlQM/rwGhecxQHAg5pBDLRSeFAtLCzgs88+QyAQQLVaRS6XQ7PZlPHTShgFDpU5Cp39/X1UKhVsbm5KHoWmwMwx18LFpMJ47TAl4G3Zr9o36fV6EQgEYNs2pqenMTMzg3A4jJWVFUxPT8O2bVEaTF/a9PQ0PvnkE+zt7WFnZwd37tw5lA84inilgmVYbD4zsGOxGKLRKGZmZpBKpeD3++Wr0WhgfX0dgUAAzWYT7XZ7LCT3uMJJMz3Ne/A7DyrLsiRXBXgeGePz+dBsNrG1tYWnT5+iVCphbW0N2Wx2IHfibbJWgMN5LaSceAAx9JgaMCsdMLGOr9Vhwpp+5mf0+33xxTSbzUNU2rBADR01SEHlhDfVghkWFQlAKEdgkLpkZGQoFJLoSCoJOtyfc2XbNpLJJHq9Hvx+/wCFOco4V8Hi5HjUmozOcWk2mxJOVy6XJeu6XC4jl8uhWq1K4uS4RgeNm5/IpLZOCj3Pmu/P5XJ48OABIpGI5FLU63Vks1nkcjlUKhW0Wq2h+RPjgrO4V84BLQuOJQ+uGtpfAAAgAElEQVSibreLRqMhEWFa8FCo6PugH8XlcqHZbKJWq6FSqYhQoW9Fr9VhYejDgja0L0cLFE0RjdtcajiNB8ExYIUDr9eL5eVlXLp0CcFgEHNzc1hZWUE0GpWEYfNc4HdWLNje3sbe3p5k+o8Dzk2w6MVnRhBpjYlaTrlcFn59amoKxWIRfr8fu7u7Uj4hn88PZLyOI8ZB29A4juUybKOZYahMxrt//z6A5yHF2WwWFy9eFPrr6dOnaLVacsjpSCNNtbxN4GHM5Lhutyv0U6fTQblcHvgbADncNV1My4Q5FdxzpVJJfCv1en3AQnQKBQcw4Gw2P8e0iEz6jdYr/z8ucAr9Hvb3cDiM5eVlRCIRvP/++/jss88Qi8WQTCYxNTUl1gv9ZQAO+bK63S6y2Szu3r2LQqGAnZ2dsbH8zt1icRoAJ6HDBe92u9FoNNBoNAZoE5Y60JtklAf2TYJJXx6FYZuP70MrdG9vD5FIBMlkEolEQua82Wyi1WoNlK4YRsm8TdDRW8DBHmL5EK/XC5/PJweVqUXrnykEuOc0Bcb/HXVwaQrM6TN4jb5W3xez8Uf9cHTCUdYKcCBIvV6vVDlIpVKYm5tDNBpFLBZDLBYbqKSgX8vv/Gq1WiiVSsLijMt4nbuPxUnCclF6vV6EQiF4PB75blkWcrkcvvvuO3i9XuTzeQlP3d3dRaPRGKgsOm4Yl4VxHDhZJpqK0QUsO52O+MVY/ws4KP1D/4vP55MD9Cie/20D64CRq+d4V6tVrK+vw+/3S8QREY/H0W63JUiCtcBYt6pQKIhPq1qtDvhgOG9mVBihhQvvif8nlWYKONNf9rJU6+uAk5KlFWUK0Hg8jpmZGfEZ6+gvYlhRUdKVrVYL+XwexWJxoN6Yy+WSoA59T6OEMxcsJq/u9H8uOL/fj2QyOVCKwrIsbGxs4Mcff5QwSNIipVJJErfGMSJs3O73uNCOZUb5MSDD7/ej3+8P8MPNZhPZbBatVktyl/b396XEOLVaLVjeZnB8ydkHAgHZX4VCAbVaDR6PB1NTU1hYWBDBMz8/j/39fXi9XvFjlctlKQz69OlT/Pjjj6hUKtje3ka/35fcCR6A3GvAgWBwCryhQqDvWdeB4xybPpejqjmMGoYpyfyi1ej1ejE3N4eLFy8iHo/j0qVLSKVSA/lYpsKkaUfui3q9js3NTWxtbQlVScXNFEijNnbnYrE4mYfm37lZWNqb5Sksy0Kj0cD29jaazaaY7hQymm+fYDSgC/FpweLz+RAIBABASl1o/tisfMvXTxJiD4MHCg9rjg8z5lmmnkmSVNy0A1+Xbun1egOOexZI1HPI37WGbO5h3peZfEmh4/F4BoIOxsVHcBTMQ10ryxwPRn5FIhH4/X6pSG2+DwWr3husmMB6Y9VqVXKL+HnD3AyjgnMrm0+YQob0l9frxcLCAq5fv45QKCTlJjweD7LZLKanpyVjmFbK1taWaLITbfb8YfpLTO2MGhjNfp0lzEOQ/ThWV1fx5MkTAMD8/DwuXLiAUCiE5eVlLC4uot1uY3d3F/Pz8xL9x8gwHRU2jJoZRZzFxufYsyYYlTDSTzyw3G63lMmnxcEaYnwft9sNn88n/qtgMIiZmRnxXzabTXS7XSmOqC0Tzke73ZZoJVKb2gGthR9Daxl0QIuH7/emwFSMtD9Jf5nX6/NLWzCNRgOFQgGVSgWFQkEEC10ApqI+ivvgzAWLKVTMh2YV42AwiKtXr+LDDz9EMplEKpVCOp2G2+1GLpfD+vo6ms0mCoUCstksms0mbNuW5EhgPMrpjyuchAk1UJfLJYqA3+/H9evXceXKFTn4GG9PTbbVasHn8yGfzwMAbt68iRs3biAUCuHy5ctYWFhAu91GsViUTaTrXZFz7vf7Q6MCR3FzvSz0HOjq0KFQSARMIBBAJBKB1+tFIpEQ5UwfWhQ8tCIYBBONRnH58mUp9+LxeNDr9URguVwu2LYNn88nFg5p6Z2dHWQymYF8DSoc9LtMTU0hHo+jXq+LpWRZ1iEae1z9LRq9Xk/GUAsXs7DksArROjijUqng6dOnKBQK2N3dlZp7jKYzabhRVLBfeeY9NS+WT6dQSSaTUiAPgESsWJaFTqcDn8+HUCgkh9VpyrmMsoQfZXABc+w5h0zKY+RLKBSCbdviJ+FBVq/XEQ6HYds2ACAUCiGVSolwYtVXHpzdblfKiQPP58ukWsblIDqre+RY0kKhsKBlQgtSF/XkGPF6Hmw83Dwej5TfZzn9brcrliYFC1tH86BstVpC7+iwYd4j54v3xlBoU3PX4zMOc6nh5HQHDodaayrSyVJxet9Op4NarSZWCgvBHiWQR238XlkeC/8WCAQwPz+PeDyOubk5LCwsSBheJBIRftfv96PT6SCRSMDv90seSzAYHDCpX+RvMTVvPbkTOENzxlQCTG3snXfewbVr1xAMBjE/Py+13bSGRt+Y3+/H1NQULl++DLfbjcuXL+Pdd9+FbduIxWJCjTJyptfrIRgMyqGk+1hwo5qFFM0qzKMAXYLmtPekrUUm3YXDYaRSKSkTEg6H4Xa7RUljvohOROR9aMETCoXE7wJAxltXJ9YUmW70RkECYGC+AQhFVq1WJRqN7+EUzWn6KzheozKPw6DHlQEntVoNXq8X6+vriEQiiEQi0sdFt4smZajL5uv3Nd/byb9FJ/4o+q3OLSqM2gvBB45Go1haWkIikcClS5ewuLiIcDgs2ippllQqhV6vh2QyiUgkIqW/E4mEbAbmuuj3N+9Fm+m8VmttExyGdshGIhHpRMiQV7/fj48//hi//e1vpQQ4e6ZoXwgdkO12GysrK6hWq/D5fPjZz36GGzduCG1iWRZarRampqakB0skEkEoFBJHpg5VBQ5oF5Z/Z4z/qCgOtBRI453m9Rr0TYbDYSQSCVy4cEEadtGnkU6nkU6nJXGS/hDmCAHPS+joviAUftFoFIuLi9jf3xfKi60s8vm8UJK6URUPNyob/X5fWIZut4tisSjPzzyZYSG2wEHrZQZ3jAN4r5ZlSakpl8uF+/fvI5fLwe/3Y2trC5ubmwiHw7h48SIuXbok4eFasOgzSq9lk07Tf3urLBZNnWjhYlkWQqGQbJBIJCKmtq6XoyUxBU6v1zuUAOa0OJ3uw/xZ/19jlCbmdYOKgW4qxVDKQCAgB1w4HBYrk1SLLrVODZfdC5mzZFJdunKv5qdJo/A6nSOjKR6TghgFnGX0jqYiadFrypFzoC0SHs66xAsFkX4NLURd7oVzSSrarJJs1h7jXOn9S4e/Ex2kn+tNgPaZUNHJ5/Pwer1IJpNIJpOo1+uIxWKYn58X4TvsHBumKB/1+yjhxIJFWwDA4IBysbrdbsRiMbFGUqkUpqen4ff7MTc3h+vXryMSiSCdTiMej8tm0BuA7w0cWBgsX1Gv119Y2sWyLIluAeCYF6E3BcP8xjE/5jzA+aXGy0PC7Xaj2Wxib28PGxsbA/QlAKlWrOeQ1gsdzqTMtALBdUUrh7XjNP1lJtjxcCXVQIuJOROvG0c1yHKC06GrfVVa8TL7sTDEVZfE5ziwmgHfj/vNFHy0RiqVCvL5POr1ulQ7ZiQmhQ+TKl2u591fqVi43W6hsfmZWqvWPhiOkfn8b8L+43kFQMK6e70eisUiisUiOp0OQqGQPL9WwPV8Ozn8iVGy0E2cSLBw4WgNUZv61G49Hg+Wlpbw6aefIpVK4fLly9ItTXP23CCmZaG5ReDA3Gw0GiiVSiiVSkPzWTQVR+cwgIHEML3YqYUzT2ZcQlnPE3o+NDVCeDwebG5u4s6dOwiFQqJQABAKBYBYpcDzPBZ2PWTTItIwFCwUCiyVz9h97bDX17NPOOkHBnVov8HrAhUVDb3Gna4/yhnMMSYdScc4cyU8Ho+MKwBpnEfKmMl1U1NTwvGblgTrkRWLRezu7kr3z83NzQFKks5l5r6QbaCfjA3a6vX6gPAyqXHz8/V+Htf9x3nkWPZ6PZRKJeTzebRaLUQiEWxtbUkzw2QyOTA+eq51DbHjUPejNGYntli0lm9yglzsHo8H0WgUiUQCqVQK8/PzmJqaEicj6Qs9mE7RDgDEaWhqTMdx2jNJTzt79f81pWKGTY7SJL1O6NIqRL//PNa+XC6j0+kMWB/NZlMOFFIpOqJLJ0A60US0Ssx55nX6Wj13WlCNCo5LZ7xorTlRv3qtcvxpDQAH46j3jen/1GVBeL8MhGg2m+IzYO023VWSP+tnOop21s86yhTOWUELSz0PDLs2k4M1TDp5mLXi9POo4ESChQNl27ZEpfj9fiQSiQHticmP77//PhKJBGZmZgYqeZqHvAk9CRsbG/j973+PXC6H+/fvH2rwNWxQecix+yBLhliWJdEZtFh8Pp9oF0zmGoeolPMCtVLTqci5c7lc2NjYEDqGBxsAEQqWZaFYLIpfhTkW2mFvOiybzaZYKt1uV5IrzQgZHZJeq9XQ6XRQr9dlbYyK41dnUw9b78eN6Ol2u2g2m/B6vajVauIY5xr2eDxot9toNBro9/tioVPwM/LO7Ktu0sIAJFCGfgLNEPDQ03Qj14vH4xEKjSVkdDFRDZPyflP2mhbetOJ0NGUkEpHWxDwrtQug2+0il8vh+++/R6lUwrNnzwaKsjopAqOIE1ssFCxLS0uYmppCIpHAysqKhAun02mJeGB3NB1iZ9JeJrTzq9ls4vbt2/iXf/kXbG1tSU+W44YYMxIFOHBg+nw+TE1NYXZ2dsCvQwqHh9rbHDWmrQRdH0qXbnn69Cm2trZgWYNlWHQmeDgcRjQaRTAYxOXLl5FKpRxbsBL1eh2lUkkoHAoWanfAoEO83W6jUqmIgGEPn1EQLNqf4ETxHKXR698JUluW9bzNMztFMvCBdK5uQ1Eul9Hv95FIJAYEi9P4a/agWq1id3cXtVoNOzs7KJVKA2HGtGqc5oQl+QEc2kMmJWaOiRbC5gE6TqDyY/rBfD4fEokE5ufnZW9Q2dZ05JMnT/DVV18hk8mgUCiIwmTSiaNM259YsGgnPaNTQqGQ5KLE43GJrWeHNKcSB8Pem4NLBy77EGQymRPVCeP7AAcblP6cYDAopat5Px6PR+7X7PX9NkJvdtZ6Yvisy+WS6qsABqLC6APQfLH2eRylWGgnvd5EOmdJv47vqyOVRjX44rj06rDrTEqFDnOtzeo6YCzeytdqChoYnF+zZA4d78z2NvedjvgDBqk6WrrmM5nRoSZGcc5eBpr21Qo194pJCWvqrNFoiKXI/B8ngQuM7ridKty40WiIBVEqldBoNBAKhTAzM4Ner4dEIiE5EIxvB46OiOGm6Xa72NzcxDfffINMJoPbt29LrbCTOrC0o5f0id/vx61bt/Dxxx9L1VdaSMlkEk+ePJGmU5lM5q2mxfRityxrgPoADnPptFhondKRzMOq0WjA7/eLz8bkkG3bRjQahcvlQiqVOsTnkw5iPw+dkTxq1ZA1fcffTTj5mDTdwYNIR8y53W7UajVkMhmUy2WUSiXs7e1JRjytGK55+jvNkHAAEijR6XSQyWSwsbGBSqWCvb09FItFobTox+LYmpFd+t6HPaf252hBoxWGcYeZ/zU9PY1AIIBYLCZChAqZ1+sVhYAKEvcIs+651nXCKkFK2VTGRmHtA6e0WBqNBjY3N7G3twfbtrG6ugqfz4d3330XoVAInU4HXq8XqVTq2BudYZHNZhN37tzBP//zP2NtbQ25XE7CHU9yjwAGBpuTEgwGcevWLfzd3/0dvF6vlEyo1WpIpVJIpVIolUoSHfO2V1PmGGqtSjuMCV7Dznh0JlPTph/Etm0ZU6e5oR+G2rBWONrtNvL5vFBlutzFKHYl1Gvfyc9iBjCY12ifVr/fFwsxn8/LWGvKjQEVACR3wu/3Y2ZmZsC/wr3UaDRQrVbRarXw7Nkz3L9/X+ivbDYrCZZmaLj5XHp/mLWs+N0MNtDPz/sfBQrzZcBgIY/Hg3g87liNgucc/V60xukfq9VqKJfLQu1yrwCHx1P3LjqO3/lV4lQWCzVQXaLB6/XKInUyn48Cr6GZXy6Xsbm5iZ2dHSkDfho4OQwt6yBJkxwoHZxTU1PY29tDv/88MVNv6rcdRy1aralpi4WbidqVE7dvHrw6I1wnRgIHfjLCjJ4Zdn+vC8PuxQxceJG/UB+81Hi1/5CfVa1WUSwWxfpjbT3TctJCm+/ZaDTEr0lN2YwGfBGGJUHyfwAGhMqbBj2nOjz8OM+qrRZd5UCPJ9cK349JqaOIUwkWzbvTIW5ZFmq1GrLZLCzLQiwWA3BQeuBF0KUnKLG5wM/isOC96jpKlPqsyHvt2jWkUins7u4ik8lgbW0NnU4HlUpFKIYJDvxsDC1PpVJYWFhAIBBAPB5HIpGQJL1utwuPx4NLly7hypUrktuiHbzcUNSQaYGQAmXEFztPUtnQh9+oW5Wmf1GH7POwdxIyfC6Oh8vlkoZdOg8IOKC2mKDMQ4nXs2I0k1lZbof+FGrJ5XJZxtuswaapF/79qLBY/fxULFhpQ1OXTqHP4wYttGn5sSgrFVVdH49tJwDIOcPq7fr5nQQTx1IrW2NNhQGHBQsddqVSCdlsFvv7+0in0wCcY/CdwKiXarUq2fUc4JcZLO30opAjNcMsYQqXYDCIhYUFFAoF/Pjjj7hz585AIT2+39sMjic3ic/nw/LyMq5du4ZAIIDp6WmJuGNOi9frxZUrVzA3NwfbtgcEC9cSG1ZRsDSbTclQZqQYEyh1COsoWirEUZFXZmY1gEOWOceGP3c6nUNWn6YSdcb29PS0CACGDZtBFfxOocVQbyp2mobk/enxdhrzYfQf/6aVOb73sOfX7zkO0DlflUoFW1tbUtJldnZWAoRY0ZsKORWHYrEoJfKBo606bclqy/eowKhXiZeqFaY3t2mmD6OwjnpwnRx3lFl9ltCmK4UPI93C4bBE1Iy7NnXW0PQXK+6GQiGJDKSTmZSArjVmhkwyYYxCQ+cx6aQyHQU2ygLFhNYonSLizJ+HUUlaCOm9x79pR7+mU9jq1ozMIxWsEyBpOWqa0dyL+v5M4WHe+zA62inwQz/7OFNlHDOWdOEa1tGL5vzx/NQWIvDicdCChb+PAl66CKXWIvP5PNbW1iSHpVQqCdfLHtoveq/jmNUnBQUfzX6Xy3WoZLX+PJfLhYWFBbz33nsol8uiQZN+GTUn8XlimMOZIeWhUAhzc3N47733EIvFJPELgEQN8hAzD6ter4dCoYDNzU2Uy2X88MMPePz4sVCqrK+kC1GO44GjD1Iz9FQfptqXYh7ippJmChj+jcKnUChga2sLgUBAOhKaTahIAbfbbWxtbWFnZ0dYA1O4EMOslONC02hOmfumnwIYn4Z+mhVh2D1bMzMf5eHDh1LFmwEWAFAoFFAoFFAqlQ7VvnMCrXxe5/V6Ze04vcZUDM777HppwcJDV0f42LaN+fl5FItFiRAKBAKHej4DzvH0Z22tkEYAIBw0Y8lN/0+//zyMcnFxEbdu3UI2m0Uul0MmkxkbCuY8YB6OXq8X0WgU0WgUFy5cwLvvvitNo6hEFItFOSwpWMwM7r29PXz99dcoFAq4e/cuvv3220ONjTT9dhx/3aiASooOXNCWsVl0FcAA9WS+14sif3SOUblcxurq6kA1atYT455kEEu328X6+jo2NjbQarUGBMuwz9I4jrDn/ub9OeUl6TBmkyUYB9CK13l+rIjQarXg8Xjw8OFDdDodBAIBXL16FTdu3IDb/bxrLtsRv8ivzLHUgpkRYub60eeyZpfOG2dSNp83rKWoroXzooXJByeNdlYOe6fPIY4qK8OJisViUjyR/UZI1ejJetNxHOehtvzMUOFerydZ9MABV6/zW+g8Zutb4M0X2iY3/iIaSf/diWLSMCsW8FAnvaujlZjHpSOSTrK2j+L2ne7bVCC1YDEVmHGBtrooXPilqdxKpYJisSjpDJVKBT6fT4p6airsqPPJHCcq7To8We8zU2E/b+Fypv1YeMN0MrLjnW3bjoOkta9cLocvvvgCOzs7+PHHH8WBddZ4kaVBioI5ONPT08jlcgCeUzsbGxvS+KhSqUi/iVdhXr4u6M3PxaxzUzY3N3H79m1pzEVtqlAoIJ/Pw+12Y2FhAUtLS1Legt0KtQLyogJ9r0rbOkvow9TJ2tKVCfQhcBJfA6+hlmz6Wai08ZBjoiUjy9jDvlqtyv+Ps0/M53T62fwb59xU8hgMwki3Uar59iJonxWtQTrmAUhRTwDY2tpCrVaDbduoVqvI5XIDCahsF6GtW/05tIZIQ9u2jZmZGaRSKaE3GXGXz+dRKBSkQnmj0RCXRbVaPdcxOXPBQm3Tsg6KPZoOW/M1/X4fOzs7+OKLL3Dv3j0JuTsrcHLM6BO9ebQGwAQnFtjk4VitVhEMBrG2tibJSzp79k0VLMBhrbTf70sL2s3NTfz5z3+G2+1GvV5HpVKR8PFKpQLbtnHz5k3s7++LHyYajQ4Eaphx/NqkNz933MZZh9KapU00VaET3YZZJKaTVv9dlxEBIFSJ3pMcYwDSp4WRY4zCfJm1PEyo6IRYauXca4wUY125drst0ZjngWEBEi/zfhQspPzNwqz00dZqNWxubsLtdmN9fR3pdBq2bWNqagrRaBS9Xk/8kk6Che8bCoUwOzuLUCiEy5cvY35+XooDx+Nx1Ot1rK6uYmtrSyIrWZi02WyiVqud6z46c8FicuIv4kp5PR/eKY77LKB7WQwzsTUtoaOeGHev34OlLnRJeAADZuebBj2PFASM/iqVSgM/M/+E2fZ0ClND1u9pdj4EjhYgZ30wvC6Yvjonn4amyU5ivQCHFSg69imwdQTYSStMHPd+nEAhYzrqWWmcfpZxsFj0GOiKxlqZ1YoDBTvzkRjgRCXcPDucFBFS9XxdMBhEJBIRRTiRSCAQCCCXywnFxmz/V+W7OnPBwsHjw+uy0Ca0ycsua7QEzuLg0AJienoa6XQaCwsLiMfjA5va1Ar0c7TbbZRKJRSLRUmS9Pv96PV68Pv9aLVa4o8JhUKo1+vY29uTpmLjqGGbcKI9GHfv8XjQbDaRy+VgWZbkrui59Xg8WFtbAwDEYjFcunRJ6I9UKoWrV68ik8lgdXUVtm0L5aWj75yi08ZlXHU4KEGNXdNgw4JC9PMPW7PmQTbsPWgN8lodJHHSZzopnKwwJtkyxJ8VMXj4ngfOet3oxM9YLAafzydJpwz31jlaOr+IihWrIAOQnDldBoffeX00GkU6nUYoFMLi4iKuX78Ov9+PSCQiZbXC4TAuXryIbDaLr776Cmtra4fCzs9rD52LjwU4cIDrKp5O13Ohs/AauziexQPz8PL5fJiZmZHMenaV5D0QeqDpWGbyGMMA+/0+AoEA+v3nZTO4Ia5cuYJUKoVyuXzocB13mFRUr9cbKAaZz+fl/6Z/gHNw//59lMtlzM7OSrQYM8SXl5cRjUbx7bffipNfJwbqeRm3SCHgcE0swjzgtXA5yk/B99Lvz/8flWRIQcZrdHDFedeacpo/+iIYqcbcMV1madShHehUMP1+v0R40Sok5agZHVY3oJXD7HwKFm2hAAfnmW6kGI1Gsby8jKWlpYEqIr1eD8lkEvv7+8hkMuJioOJ+3orZmQoWvYGOk3Gvc0vYsOkkFJJ54Jl/0/V6KOB4X07aIf/GRE+WmKnX61LwUEeFMfEvHA5Lt0yPx4N0Oi0Ckw5+83PGDeY86nkyzXc+H4UHqU5SY5oK030rdGdR06cwztCHuln/zOnnk6wPJ9/LMMe6KbRet1+QBzKtlnFMRNZ+D/PMc8rJM+dCW64U7novmdaK05e+Tiv3OhBEV1F4FTT9mQoWdkjz+Xxi0jpZKxzUQqGA77//Hjs7O/jLX/4ikQpHLSjTWWlCCzU2GNNdIikwKLV1FV7WSmIi0+PHj1GpVPDw4UOsra2JZcWY9FQqhQsXLmB2dhZ/8zd/g+vXr0vl51KphO3tbXzxxRd4+PDhoUzycYReyFysR2nYXNQulwuNRgOlUgmBQGDAHGf0IClFncDnpFUNO5BHEab/xLIsyTXROG7ulpOwpQNcK3T8TN3Hg6DSRAXK6TNN2u2kz/ui+9dMAhUy7kWW9mH4+ahDn3V+v1+i3kh96fBf4DD9pH2zzAfU5bJ0bgz9KvTxMnpsd3cXyWRSwo5Ztoruhd3dXWxubkqJpLNyNRyFMxUsXq9XGnyFQqFDDb40+v0+stks/vM//xPr6+uScX2Uw1b/TGvE/L82F8PhMGKxmBxWutwM65txo3e7XRSLRezt7SGfz+OPf/yjhD3v7e1JFz2+Nh6PY2VlBfPz81haWsIvf/lLLC8vS3Z+p9PB06dPkclksLu7Kxo7P3PccZSzmdAHFDsLFotFESycK1Ihfr9/6JoZJ4FiQgsYrjWNl0kI1s5iU1vWeSL80hqr6dsxD73j0iXHucZJ86ZyNj09LQehLorJEN1RBZ8hHA4LDUUWRofOO+13c31T4NN60XXAqJyTIWHSJVMystksNjc3JZyc95DL5SRXZnV1VaI1zytPUOPUgoWDQm7R5XIhGo1idnYWkUhkoLmNhi4TwaiIfD4vzu6TfL7mN6m10Upin/VEIgGPx4NgMDhAtwDO9Jm+T21h6A1JLSISiQxEYbCpGRdBNBrF1NQUFhcXUavVsLu7C+DAOTduOGp+hvkEeDjpMh78zvHSB5u2OE96D6MMPRZHWWIv83wmNaJ/PioSUn8/T5j+CAb3UEE0owJHObJSK7Jctzx/dDSsmfSpX6tpem11Aod9leYXgwIYPMO21RRkFDy6jcmr3DunEiw6Xj6ZTOL69etIJpNSM2p6ehorKysIhULyGj4U2242m018//33ePz4MZ48eSKOrmEwTXouTrfbjXQ6PVA5NxgMwuPxIBaLSfl+tmoNhUJSy0pnx1LzYJb4wsICisWi0GbUngKBAKGU+UMAACAASURBVCzLwqVLl/Dpp5/iZz/7mTjS6E+gYJmdncU//dM/4fPPP8fq6iq++OIL3L1790xzdF4FnDTak2jYpF2azSYajYZoUWZnyH7/eR8c9gc5LSUzKjD9Hnoc+Xen78NgKkJOgkRXQtD11bRvR1sy2rJxyu960b0cdxx4wPr9fqRSKVE+k8kkIpGIBINQ6dIlS0YVHD9SV8lkEul0WgQlWxU4ja9lWYhGo4jH42KJ+P1+9Pt9aRehLUqtQDOnrtPpiMJMGs2sFk1KlFSamSN2XjiVYLGsg4ivubk5fPDBB5idncU777wjBy1NdIILsV6vS2fIe/fu4dGjR9je3j5W7ofeoLrQ2+LiIq5evQrbtpFMJpFIJODz+TA1NYVkMoler4eNjQ3s7OwI7ULNQHOYoVBItI7FxUUUCgWUy2Xk83lks1mhbWzbxsLCAn7+85/jvffeG7DagAPNy+v14sMPP8T777+Pzc1NbG9vI5fLYXt7+zTD/lpwlJP5uK/XC55Jk+VyeSC5VIdyMzN83KEFiNPYneRwNhUrJw1YH+Da6tM9kXioaMcx6Tn9/mdtLXCfcV9OT08jHA4jGo0iFArB5XKJz4CfP6qUsbYcqDTx4I7FYrBtG+12Gzs7O47Oe1Jd8Xgci4uLIohocTDXy0wQ1vQ/2xswa79arYqvmCV7WIqKQSOsBkCK7jxxaouFSW2RSATxeFzCeFlSwHT08qvT6aBQKEiuB51cp9GAdDSRaX2QZnGKhNBam/m+fD82pOr3+5IpzuAEttAl/TWMvtGLz+/3Ix6PY3p62rEY57jAaZ6c/Gfm/0xajJqTfq2eOyfBMq6Wy1nByWrU34HDAsdclzx8tAXFa88D+hB2ihbletAJhCetVfY6QXaC1gS/aJkxqpTpBxToDLWnD5jPur+/LyWw9JjRqiELxKoJukYYaxkOq+Jg+nXOE6c64dhHOxaL4Z133sHnn3+OhYUFhMNhGRS9oHUEys7ODv7nf/4H6+vrePLkCarV6rEXkB7oUCiEZDIpURLMf2EyEmtV6RbKHGjyjsBgj27tn1lZWYHf70e5XEYkEsHs7Cx8Ph/S6TQSiQRmZmakec9RPgHedygUwqeffopYLIZvvvnmNMP+2qC1Zafn1IfHME1XX9Nut4VaJAXAchjRaBTA88rITofoOOE87p3vpekObXlwrrTCpbPqqVnrOeXrz5p61JQcSzsxB4zzz4ZfzWZTalux7fIo+1h0UqSpbAYCAUQiEVy+fBn9fl/8yLoenMvlEsuNFHq/35eouO3tbezv70vSqG3bWFxclAaK9Xpdomh1A0OebQwmYNl+Xsc14OTnO0ucSrDYto3Z2VlMTU1hZWUFV69eRTqdPuRgIiilu90utra28OWXX+KHH34YqFt0HHDzcKGmUqmBKAlSKhQaOzs7yGQyAIBIJIJwOCylFBiBQaGjyzEwF8Xv96PZbCIYDGJ6ehqhUAjLy8tIJBLw+/2ibfDeht0zx+zy5ctIpVIDvqdxwVGarekcdooW02uCYdukVCnMmTlMU15bfOOI87xvM3zZHCeGcRMMMeY61+8DOPtrXvb+uV+pbdPCpwIIQLLT6/W69CM56bnwqqEFpm3biMfjCIVCCAaDIlhmZmawvLwMr9eL7e1trK+vyxnFuZuensbMzMxAL5VGo4GtrS1R0NnbKhgM4sKFC5ifn0e/35e6Xxw71iJjwcv9/X1J/dCChZ/N5zivNfpSznsewprDdTp4NLfIsDoO8oseTJvPjOM2o7woqTnIjDBjq1VgsPIr81WAg+xnk8M2eXGT+3VKYnoRnITuOMHk+PndzJ/Q1zjNr6Y8dJkLzgHfjxrWBEfDDAjgF6lGnXg3zHd11uVTTCVTzylwsI8oYBjGbzqtRxV8Lt3jhh1Ug8EgEokEIpGIBDhRmWWZKMuypPI7hS2pLFrurVZL6DL21AmHw2LxmRaItloovOnvMf1VZ22dmjiVYHG73QiHw5J7ABwsbieHopakzLw+6oE0labrB83NzeHChQtSoI58YqlUQqlUkqiiYDCIXq+HcrkspcFZWpq0S71eRyKRkAJumv9nTH0+n0er1UKhUEC1WpUIsWAwiFQqJTk7plBygnZcj6pT8jjQB4VTpjxwOMNba3jA8+KHFPg8+BgVRCcjNT9qcSwfM8HhKDOttHHf8GDR65pzwHnQYbGc06OS+U4CTccxeTAUCgkr4HK50G63sbu7i36/L10uGcRxmvplrwr07zKlYWlpCdFoFFevXsUnn3wi1guDEtLpNJaWltDpdFCpVJDL5dDr9YQGpkMdeE7HLyws4LPPPkO32xWmhVTY4uKi5KFUq1Wx7llnrF6vI5fLweVyodlsIhKJSIFfugW4d01a9SxxaovFtu2BXitOPLyWiuT+6As5CpryIg3FjmuXL1+Gz+fD3t4e9vb2pJbX5uamCBozI5zl3Fn2npngqVRKeFB+8aBjjo3+Tr603+9jYWEBKysriMfjx7JAqGVwMYwb9OEDQCLynOZ6WJgoX8/Kx5oao8LBg4ebTieajepB8zpBoQFgILpL5y2YFgMPdlowZvDJy1rUWpFgkA9rWGmFhD1DSN0wQZKWwKha9rw/tteYnp5GMpnEjRs3cOXKFQQCgYFKwrrwZLFYlHVtVlzodrvwer0D9BgFFKNfk8mkRJxtbGwMCAn6qsrlMizLkm6gmmWhYGFH1/M6i04sWPSC0clNLzJdzYXt9XplE2ih5HK5JPGQfQrS6bQ4zlm6gAc8qRTdpc082HSeSiAQGCgdAhyW2Dzo8vm8CBZdrRjAQPtWM1jBCRSu1Wp1bC0WfUD5/X7xWRH9fh+1Wm2A3iI0dWp+0UoJhUKIx+Pw+XxIJpMSNciKCfyMCQ7TX9xHPDg0zawPaS1E6NwnDXMamPSoSX2ZFLIWdpoONemvcZlnFo+kg92sHKGVMcKs20XrklQZAGnvTSXAsqyBpMdqtSo1DFnpg79z3+mmaloBeRURdycSLDRvg8GgJDdFo9FDWpNJi9A/AgDxeBxTU1PIZrMDJQ90r5Nf//rX+M1vfoOpqSmh23SRNybQra6uolqtDrS0NSkYCpXl5WXcvHlTwgDj8Tii0Sgs63mVUfKb3W4X1WoVd+7cwXfffSfl4dlvhIun2Wwik8kglUrJ34/anJ1OB5ubm/jxxx9HvlSFCc4nLQlGzd24cQO2bQ9k0z9+/BiPHz8Wnpf0DBNTY7GY1IcibanbEFy+fBnVahX37t1DOp1GrVbD999/L+Ga4xKG+iqg9535u2l98MAjLUVhTgWPlTCc6DAnDBMiTn11tC+F98i/s/isKVzMUPRRAu/P5XIhFovh4sWLWFhYwPT0tCitWqDo52i328jn81JzkAwOBQTwPFKOZxPRarXw4MEDKYz78OFD3L9/XyIsGQlLyotg6SpdE9EUOOeBUwkW1gKjUwkY7JJH8KZ1chQrAcdiManb1ev15NAKBoP44IMP8A//8A/i+6CTilWQm80mEomESGnd70APFBc4fSwXL15EIBBALBZDJBJBIBAQLhI4iA0vFou4f/8+bt++LZxlrVaD2+2WLnculwu5XA7ValUagR2F/f19bG1tYW1tbaxKuphOej7r8vIybty4Ib0fuLg7nQ42NjZEqJBuCQQCkrzKvCDON6sZxGIxXLhwQRyTLtfz2mJbW1vY2toaC6fu64COwtOhwzqogj/rABi2t93f35fw7qOg/6/zxnSuBYu+8vDiAUa/QL/fH6CsGXSjrVz6iEYZFJCBQAALCwuYmZmRXLejmmlRsJTLZSm0yb1CKnhmZgZTU1Pih+K+2tzcxMbGhgiW9fV1GUOnTraaTdFKhM68HwnBwqSeRCIhvRPIm2qznA9kLkRyhjMzMyIMKFh0F7WZmRnRfExTkguw3W6L9HaSvtSeSNnEYjFMTU1JxWOGPpKXpHO90WigXC5LCRhqAjq8U1tnevOa4FjQ1NXtX8cJnEuGWDPggQeT5sb19VpTYjIt6Uj2veeC5+uA5xuCWdndblccnBMcD5oaM8uJMPIKwEAtPL1nnYJwSH/SMteRoPozzT2r/ZcUfJrzNwM9+JpRhqaWnKJEeQ2hD/9SqYRsNistgrXPmf5gnXvHzqtsOEiGhn1Vjkoo1bSiU8LkyFgskUgEv/rVr7CwsICbN29idnZWIq24kHR3Mi1wKMlXVlbwj//4j8jn8/I37eRzu91YWFiQBcxFTk2Hdaa2t7extraGQqEwUBVZH2jsGJlOp/Hxxx/jF7/4Bdxut1gm+/v7KJfL2N7eRrvdRjablfjw7e1tmVBOHu+VhyG1bdIMJuirabVaYq08fPhwbKgwrfV6PB4sLS3ho48+QiQSwdLSEq5cuQLbtqVNAK1GzgEpATZaW1lZQTQaxcrKitAG/AIOuF+W1PF6vdjZ2cHDhw8lBn/UNdnXASehqw8P8u5U7viz7nLYbrcdo/woQAKBAN555x1cvHgRbrdboiu73e6AIra9vY18Pi8HGRtZaQuWlgx/dsp7GmXhogNUWq2WJFHTLQAMVpfO5XJ49uwZqtUqvvnmG3z11Vcol8uiJLtcLglP9nq9wgb1+308evQIz549k7Hd29uTkvkUSlpAm/fJe9EKxauIuDuRYLFtG9euXcPs7CwWFxcRj8cRDodFQGjprflFHWqaSCRw69Yt7O/vy6GiNX/zelOwsE1wLpdDNptFqVQakNb6UEsmk1heXkYqlcL169exsLAAy7KkI2Sz2cTOzg6ePHkiPhP990ajIZMPHGgU9AeRFjK1N4IaR7lcxu7uLvb29iR6bVygI2BmZ2dx7do1xONxzM/PY2ZmRugqbjZd34iCyev1IplMYnp6GrFYDOl0GtFoVMZO5zaQOmNVamY2u93ukebdnaCt+PN8f/487GDWYaa8Tuc88BptZeiKwx6PB6FQCJcuXcKtW7ektEggEJAscdLFzWYThUJB6CweYrpPCA8506GvMeqChQoUKwvTgtDX8Pny+Txu376NQqGA7777Dn/84x+FWqfSNjc3h6WlJYRCIVSrVfEZb29v4+uvv5aIUlYqOa61YTruXxVOJFh4ULLkOblaDrR5uBOmaa2zrbWWZEaRaNDRl8lkkMlkJB/ESaCQ62XJhGQyOVB4kkEC3FisYkxrRVN0LpcLyWRSaDW2BZibmxtK0ZgTroXjuPgI9HzRogyHwxJ8QR8JgAFrQs+Hfv0wisRcG/p3UxMbJ6FCnLdQeVEkoklRayuCjl1z/7LWHyM0Wb07nU5LhCZTDZrNpuRNkCo2HfH6INbUnLaqzOcwA4BGEVSm6CvWpXP4d1JYhUJB2oNQAdPnAuli5ugx/J4CRjfoGocz5ESCpdls4t69e5LslEqlxNRmQTTdNVInX+nIIj2YTpq+5gzJI7bbbdy9exf/9m//Js51JlNxE9C5zsKYH330ET7//HPEYjHMzc3J4tc0WyaTwZ07d1Cr1aSaMamBTqeDZDKJX/7yl7h69ao46mipzc7OOm4APfkUckwkHfVS4BpUAuhLW1hYwEcffSTWBGPhWfqGtB9fy2v4pQ8fRsA40Yg8AMlBm5V3xwWvUqgM+yzz77ReuGd0yD2jM+lHjUQiePfdd3Hx4kWEw2GhvzW7wH2zs7MjkWWVSkUinXRILak4XQfM6b5NJXPULHy9z2u1GnK5HLxer7QkZ2DP6uoqSqUS7ty5g7/85S8oFotS2oXvQaWLfmDWPVxbW0O73cbm5ibK5bKcR+MgVIBTCJYHDx7g4sWL4mynE73dbkuhOc3Nm5uAA+nEB+ovDiK1gWaziZ9++glffvklMpmMSHK+N983FAphenoaU1NTuHz5Mm7cuCElErTFQmdkpVLB3bt3JUKDfQ3oR7FtG1evXsX/+3//D8FgEMlkUsrrDzvs9OTrw1VrbOMCCsZwOIypqSnMzc0J/8tDwufzodPpDMThU9DTsjUTxrgBqWAAg9UbdLWGs8r7GQct+Lg4iaA1nbj69aYvBQDC4TDm5+cRi8Xw7rvv4mc/+xn8fj+mp6elSCjnn/XdgAMnNa197dQ2Ka+jxp9KCe9n1AQL0e/3JUHb7/cP+DwoULLZLB4+fIjbt2+jVqsNBBtp2l933a1WqygUCmg0GshkMkKzjYtQAU4oWHgYMwyOh0mlUpFyJ6ycqstGOGlY5ibXjrx6vS79OqgJN5tN7O3tycToULpUKoWpqSkpjsnmQVNTUxJXzkOQwqper4uvhiar5oNp9czPz4swYRSTGafPg5CHJoVeu91GtVpFq9VCNpuV0MJRh3lomTQK6Q6a6OVyWQIiqI3pA8wp2sjMOOYY6ig69m05bl25CY4PfbDpMHLuIYbPTk1NydrXVXhpnVYqFWndTd+ASYsOcyoTTkLSKX1hlKAVYJ5TtVpNEoR1eSL6pLQSBTzP6WNF5Lm5OcTjcfElsuTRuOJEgkVH62QyGfh8PuTzedy/fx+5XA6Li4u4efOmLETmiegyEoDzQqLzvNls4v79+/jf//1fWagUJo8fP0Y2mz1UU+q3v/0tfvWrXwkNxhII1LAs6yBrtdls4scff8S3336LUqmEr7/+GrlcbsBB7/f78cknn+DSpUtIp9O4desWZmZm5Dm4wXjA6uiLer2Ou3fvYnV1Fe12Wzolbm5uSg7LuAgXHvaMsa9WqyiVSgAOGg21Wi3cv38f6+vrKBQKyGQyjoJAB2hQ8LAgKcEDqdFoYGNjA9999x3y+Ty2trZEkXmZsXPi8scVJ30WJz8VqTC3241UKoXZ2VnEYjF8/PHH+OCDDxCNRrG8vIx0Oi17l7Xb7t69i++++w7lchn379/HgwcPUK/XJfF5mFA57r1yf406ms0misUiAODx48eS8FutVqU/FRXZWq0mgUOWZeG9997DO++8A7/fLy3OO50O7t69K+85rjiRYGHRNbfbjUKhAJ/Ph83NTfzwww+ikU9NTSGVSknSG3MUXtTcqt1uI5PJoFwu45tvvsG//uu/ihChFqQdvow2CgaDuHbtGv72b/8WwWDwUOYrs03pnC+Xy/j666/xu9/9DsViEdvb2xKurKO95ubmcOvWLXFYavpLH7j6AHW5nnfBu337Nr799lvRXLrdLnK5HPL5/NjVvDKFADvVMXGxWq1KAiPDTs14eVqtOipJZwATHMtWq4Xd3V2sr69LLwsKlXEau1GEaalwHyUSCSwsLCAajeLatWsS/ZVMJiUJmsK92Wzihx9+wB/+8AeUy2U8ffoUmUxGWIcXCYSjmAunn0cVXKv1eh1utxt7e3t49OiRVF5nMcpSqSQdM5nH5fF4cOXKFXz22WfSN8XtdqPdbmNra2uAmhyHsTBxIsHCmPVyuYydnR1YloXd3V0pT5/P57G5uYl2u41gMIhmswmv1yvhogAGrBbtU2m1WiiVSiJcmFCkW6lqcOKYCc88GNIoAAZom0KhIJEZzFdhhJvpdAcgtau4CAhqzMxRYRkM1sGqVCooFovShMfkmMdtkWi+u16vY2trS2jJ7e1tEdg8UMxIJGqemuYye27zdaQVqtWqzBGt1rPEuM3BMBzXatHX0Nelk51ZSocRj6SVWWSU88i55l5iThmt8BflRxzXwhqnfcKcEst6nkCczWbF75RKpeByuRCNRjE3Nyf+aDb3WlxcRCQSgW3b8sw8H4clXo4LTiRY6vU6bt++je3tbVQqFcTjcZTLZWxsbKBSqSCTyUiTGl1Q8MMPP8TPf/5zRKNRoZN0mCM1+j//+c/Y3d3Fw4cPhbd30lLpV7l69SpSqRSWl5elnAIFR7PZxLNnz7C+vo5ms4nd3V1ks1k0Gg08fvwYm5ubEhKoBQvj/aPRqGw0RpHx8ONievjwIR49eiRFE8PhMNbX1/HgwQM8ePAAtm0jkUhI+fdxWijUaimwA4EAnj17hv/4j/+A1+uV8t9UCNigyQyjZEQffU7U8CiQGfXX6XSkYnWlUsGdO3dw584d8YUNSwI7KcblwDouhj3PsDBu1mcLBAL4q7/6K9y6dWugLInukkqLhk75hw8f4ttvv0U+n8d3332HR48eDQTvnGZ+KBz1HiQjMOro9/tCBZLO2trags/nw+XLlxGLxRAOh3H16lV89NFHA0o1zxgGPpAq4xlB/7U5DlppG2WcSLB0Oh2hP1qtFqLRKBqNhhQ+oyloWc/7qExNTYmZd/PmTTGp6UwnJdLrPe+dsra2hq2tLTx79kyCAYaFI0YiEczMzEhBQ/o+Op0Odnd3USwWcfv2bdy7dw+VSgXr6+vY2dkRempY2C8XNsuWMFKDG4wFMCuVCu7du4cffvgBtm1jZmYGkUgEu7u72NjYwO7urpSosW17aNmFUQcdux6PR6yUXq+HarUqMflmj3rtoGTOhC4/QSe/ZVkSntpoNPDkyRNsbm6K0N7Y2BCBNE5a7ChBCxUWS2W5nIsXL+Kv//qvDzWmYlY9cFBCqdVq4enTp+JX+emnn5DNZgcs0dPC9MeM0zzX63VkMhm43W7k83ns7OxIPULujVQqhbm5uYFq3lroc+wYkQpAFDI9rloA659HEScum08tlP00WO7ZzLi2LEuy2DOZjGScx+NxyYPQZaDz+bxjIUkTZpgvDzlqwNlsFk+fPkWlUkE2m5WSLwxbHSas+Gx8pt3dXTx9+hTRaBT7+/uIx+NCs7XbbRSLRaEC6H8IhUKHKB+W2x/XcvmMcqNpzvk5jjOd0YGdTgeNRkO6dnI+XC6XRNLoQnoab4qz/VVD+7So4LjdbszNzWFxcRHhcBhzc3NSjJUsAoABWpPrvVqtYm9vT6hwtjo+rZXCexx38DwEDsrh09qo1WoIBAISWq8rtGvBwv+REpuZmcHi4iJisZgwAroSPD9X38Oo4VSChdm2pCh0whPBnimMoKrVaojFYvjss8/w+eefIxQKIZvN4u7du8jn83jw4MFAbS6CktnUvICDuPknT55IbsWXX36JP//5z+IHyuVyQnnpzTDs2brdLkqlEn73u9/h8ePH8Pv9SKfTA31CYrEYcrkcfvrpJzx48EAy0cPhsGjYXAi1Wg0ul0sqMY8LOE6MetElt7Xj3XQGA4crIns8HmxtbUn2vu6up4Uzy1Xo1w4r8Pk24zi+Ffr92JHw0qVLCIVCuH79Om7evIloNIoLFy5ItCOtaa5/7sVcLieljr799lt8//33aDQaKBaLJ/YbvijseByhLXAAct6VSiWsr6+jUqlgZmZG8tmc9km/3xfavNvt4pNPPsHs7CxKpRJ+//vfSzmXSqUy0LhLK6qjNpanEixssXlURAezci3Lkj4BjIr45JNP4Pf7USwW8cMPP2Bvbw+5XE4SgYbxivxZTwj9M48fP8b+/j5++uknfPXVV2g0GmJNHXfx85p6vY579+7h4cOH8Pl8SCQSEnN+9epVzM3NoVQqYWNjAzs7O+j3+7h06dKhXA8KtHHKtgcO15ki+Ez6Gn3IOXH6NPXL5TL29vZQr9eRTqdFWLGJGk1//T4TnA46YZhUzPz8PCKRCG7duoUPPvhAHMykp6llUwnc2dlBrVbD2toadnZ2hJ7c2dkR5Wkc/CDnDU1v0//qcrkkiIfWPa2SYTl9pPJ7vR7S6TQCgQDq9TpWV1eRTqfh9XqFhtd5c8DoCRXglK2Jj3og88AxD3XSIkxKNGuOmRqr+XoKE5ZSYEQYACn4RovhZap4ajqLFUwBoFAowO12C4VDWjCXy0kYNuuYjaNPxQlODlb93bxO/2z262B16UKhIIKFTktqfszefhPG7lVC0y3BYFB6pc/NzWFubg7RaFTafHPP6YRVCoxmsyntuMvlMorFouSAjWt043lCBxxQ8WJ5/FarhY2NDSmLw4RJpyRk4EApYPO7ubk5XLx4ETMzM5idnZXzLZ/Po1qtyvmkFehREPgnFizDDvth4ABy0ddqNSlTX61WJSqCPggOEEN8dbix/trb25MKoYFAAOFwGL1eT3odvMwG0CGy/HwdZhkOh8V/Qh/Sn/70JynKVywW5WAchUk+LYZZpCaGUTOMAPR4PAgEAlIWnEU/+/2+OO/py2FZmHw+fygBdQJncOyZlMy+6fSlfPjhh/jFL36BUCiEmZkZCYOlVUNLm6XYd3Z2sL6+jmq1iidPnmB1dVXWuY5sHGWN+VWDlglDhldXV7G3t4dAICACO5VK4dq1a1haWhqoYgAMtoxmLl4gEMDHH3+MRCIxUEW50Wjg/v37ePz4Mer1OjY3N1EoFETImCkUrwOn6nkPHK4+PAx64OgYz+VyEhHE4owsBUPekAue1T71+9EZzlyR84CW/rrHTLVaPZSAyWfS15nPP244KR3l5HTXlAw1NdIEjChi4EWv15NSOAySeFMsvlcBremyTUE6nUY4HMby8jIWFxelZp7unwQcKFJsdMfAFOYTsfJBvV6XPTGZl8Ng4U0AYpUzX4g5QywTRZ+lWfoIOEgm7/V6mJ6eloaEpNroMqCg0eH7ZpuP14VT+VhO4qyjj4W1b0qlEjY3N8X3oEtCkwbRXdFGzUGlF4MOlx6FezsrmDzwUZVozdeR13e5XOJTo58qGAxKwiUVBm3Z6eAA/fUmje1Zw1RimIelk4PNn9l7Re+xcrks9BfpXE33mlUmzOhMfv4EB+C6pn+RhXSj0ahUJgEg1Y0Z0EJrEoBYLpy/brcLn8+HlZUVNBoNUXQZZcv8P80AcF1oZfm85+rEguWk1A4ji9iUi9KYfR4okZkPwwXNEOZRopM0RQYMbmp9j2/CBtPFQ00a8igwmdLn8+HChQtYWlqS0jvBYBAAhBOm6V4qlSTKjJaK7pc+ES5HQwdJcPyYtEh/FcO7dWXxSqUi/YfYkbXRaODp06dYX19HrVbD3t6ecPlmxQSn3jpvs/9Fj4P+fXNzE7VaDT6fD/fu3cMf/vAH+Hw+RKNRETLvv/8+rly5Ar/fL9VELMuSUbUWZwAAIABJREFUCgh6H/R6PcRiMdy8eRONRgN37tzBgwcP0Gw2paJIq9XC2toa9vb2BvyXXCPnHVB0Kuf9SUHzzeVyYWdnR8qwkwNm+X194JjhdKOCl904o57YBAxGdZ1EqOgkPNaZmp6eHujJAhyUFWm32/B6vQOaFKkwfYiN+niNCjRty+AVCmxaKyx31O/3USwWkclkpOgnq4czxJjZ4DyQtL/LiSqdzNNzmP5nNhAEgM3NTdy5c0c6sl64cEGs+lQqhVAoBL/fP1Br0UnB8/l8iMfjaLfbAzXc2EyMvph6vS70HIBD9fnOC69EsAAHZiE7qrVaLWmA5fP5JNyYeSxv6iIdh+fSQmSYQNF/0wEaTLwLhUKYn5/HwsKClFxnY7B8Pi9VkjXXbNJg5ue8CTgvh7emE3XR1X6/L0xAu90WDbjX6yGTyUjF7Uwmg0KhgHa7fShp9UXldN5mK+U40MKYwp9+4nw+j1arha2tLTx69AjRaFQ6dFIB05WluUdardZAb5dkMolWqwW3241gMIharTZQHT6Xy0mIMt/zPOftlQgWfUhVq1V0Oh14PB7s7OzgwYMHcLvdEtb4ouz4Cc4fw+jHYZEmDGTwer24cOEC3n//fYTDYbzzzjt49913ReuyLAudTgcPHz7E6uoqqtUqvF6v0F5m+ZZxP7BMIWJagmfRAkCPj7b4SqUSnjx5IqWVpqenhV4Bnls0pLx0ZYROp4OdnR1ks1kJ63faj+c9L29CAIwGn4HzQ4WKPpJKpYJnz54hEong7//+7yXIglGVdClwjjKZDPb29mBZlgRoMDKNeYaMxKzValhdXR2oy3feNPMrtViAg9LbAKSFJ/+vqY83YTGNM3QClsaw6C9qQrFYDOl0GrFYDEtLS5idnRW6C3i+sQqFAra2ttBqtQb6s+jcnzd1/p2c3mcFfVDQp8LyQ2YCsu4RRIFOtoDh4LqqBsNoJyHGp4eeHwY1sT4YhUUqlcIHH3wgRSu1X4wFP2lhPnnyBD6fD9euXZPOnrRqgsGgzLlt28hkMrIPdV+k89prk3oZE0wwwQQTnCmsk0gry7IyANbO73beGiz3+/3ps3qzybycGc5sXiZzcqaYzMtoYui8nEiwTDDBBBNMMMGLMKHCJphgggkmOFNMBMsEE0wwwQRniolgmWCCCSaY4EwxESwTTDDBBBOcKSaCZYIJJphggjPFRLBMMMEEE0xwppgIlgkmmGCCCc4UE8EywQQTTDDBmWIiWCaYYIIJJjhTTATLBBNMMMEEZ4qJYJlgggkmmOBMMREsE0wwwQQTnCkmgmWCCSaYYIIzxUSwTDDBBBNMcKY4UQdJy7JeS419dq3T3ffYBQ043M1uWAtdYhS6FPb7/TNrI/i65uW0MLsovmi+XiXOal5GdU70/gkEAggEAgCAer2Oer0+EnPggOwZ9mM51QO63W54vV64XC5p8WueIbqbKtt1W5YFv98P27bhdrvh8XikVTdfw46frVZLOumymyo/i/egzzz92fyZr3tFGDovJ25N7NSa9Dj9qfU15vVs1TnsWk6Q1+uFz+eDy+WC3++H3++Hy+WSidDvx1a3nBQKol6vh3q9LpNo9nw+i431Ovp1c8G9wkX1QjjNKefR43m+9Hq93qGv0wiaN61H+lHQe4JrmDjq2S3LgsfjgcfjgW3b+PDDD3Hz5k30ej18++23uH37Ntrt9itXuvgcR+DcG3MNWz8UEtFoFLOzswgGg8jn88hkMgNnCAB4PB74fD643W74/X4EAgF4vV5cv34dV69eRSgUwvT0NObn50W4sC3xo0eP8OjRI7RaLVSrVRSLRbRaLezt7SGfzwMAwuEwIpEIAKDVaknfen7t7++jWq2i0WgMnIPm8+mfX/K8GDovJxYsRy2AF/3P7PXN67WEN8Gez9wU/N28lr+z9zqlve7tTGFz3nB61leB8z4M9BwNez690M1r+DvnwTxQ+P769ccVMub1bzJMwUIMEwhOily320WhUMDu7i76/T5KpdJrU0pGYc6OUkz6/T46nQ5qtRra7TaazSa63a5c53a7AQDBYBCxWEzOK1ootFh8Pp+cYS6XSxTlXq+HZDKJubk5tFot1Ot1xONxdDod2LYN4Lkl4vP55D7dbrfcQ7vdFsuGf3OyaLRRcN575cSCxQnHvcGjrqOpOeywcblcohHwdwoLTqJlWQgEAvD7/QCAZrOJRqOBbreLRqOBdrstWvF541VvlvN+Jo4xF7dJZ9Ea7Ha7hzQp83o9B/rv3KAADm2Q44znKBxQ5w3uB71XnKy9YaBQAYD19XXk83n0ej1Uq9WhSpcTS3GS+z3ta18V9PocptA0m01ks1lhSLjGNUWWSqVw6dIlBAIBVKtVVKtVOZPC4TCCwSCCwSC8Xi+8Xi+CwSBCoRCA59bO1NQUOp2O0GKtVgsPHjxAIBAQgaOtEQDodDoi9Hq9HjqdjuytYS4Cp/+dNc5EsJwU2lLhd62FmddoDUBbMARfx0kmb8xNt7+/j2az+dr9KuMObS06WZhut/vY1hoXv55zU1hpevNtsUaOgh4n02I56fh0u105/IDhfseXsbxfh9V+Wphrz0S320Wz2Tz0dyq8brcbwWAQiUQCtm3D5XLJIU/LhDSZPquoKPf7fXg8HjmvOp0OGo0Gcrmc0G69Xg/tdlusfU3vk8I8jnLxKnAmPpbTvofGMGeU/p+TpssJDYVC8Hq9SCaTCIfDYt5ns1kxX7kw9CJyspBe9vneVNAi0VYicMAtE8MsDW1VOVk9Wkt02iAT4XIAjoNprWite5g/VAsmXtPpdOT/x/GTOt3LURiVuSOlTstNr7mjBOuwtUpBADwPgMjn87BtG7VaDZVKBf1+H/l8Huvr6/D7/Uin0/B4PGi32+IjdrvdCAQCQovRWnG5XIjH40in02g0GnC73UJ5VSoVtFqtI+mv14kTCxZqpWchGc2JcnI06cHSHDy1BI/Hg+npaczMzMDn82F6ehrpdBq9Xg/Pnj2Dy+VCo9FAq9VCo9EQvwufw9SwTWtK/22Ucd4bl/PTbrcHDieXywXbthEMBmU+LMsaMMe5iYdZIPyuqZjj+lbeRnA8LcuScXUSHpreIcjx6/njex7ncHXCqGjJx4HL5UI4HBaLgGPnFABhKj9OglrTT8ViEY8fP4bH4xGKCgAajQY2NjYQCARw/fp1uFwuRCIR8cf4fD6hx/r9vggl27axsrICr9eLRqOBp0+fotvtol6vo1KpoF6vo9PpCMU/SjhpuPFLH2BHLdJhC9rUZPmzlvbhcBh+vx/JZBIzMzPY399HoVCA3+8XQcSNpCkc85lGRbM6DV6VcDE/y7IscUx2Oh14PJ5DUXrA4QPIaaO+Sh54XMF5IA0yzBJ0onf03/Ve0Nc5raOjqKLjrrtRYAMsy5ID/DjKo9N5pZ9DK06tVguVSmVA+QYg0Vo+nw+zs7NoNBrwer0yh/SZ0TdM6t6yLEQiESSTSTQaDWQyGfh8PtlbnU5HLJajnuF14ESCRVsqZyVc+LM2zSm96SjTcdzaz0KO0rZt+aLGbE4W48g5meY9cHMM8xGM0qQNw3nfo2nNaUuEi5sWjP6fSc1o8/08wr3fVGhLT+9D/s2kt5zWMedJv8bU2AnSRgwN14oZrdNut4t2u41OpyMKBvdZq9VCu90+9J76eV61tdPv9+VAPs7nmvSi/jsAOWdMyz0QCCAajcpZxvNpcXER6XRaQof9fr+cY6ToOLa9Xk/OOY4jqTdS0vw+avvmxFTYyzyEKfW1I17zvsFgEPF4HG63eyBxSy9qxonbto1AIIBIJALbtoW3BIBAIIBYLAav14twOCyTZW5Aan5OdJz5rKM2gcSrui99mHHOeLhQ8DNEUsfa64OQHLI55i/6zAmew2nMOBcUArwOGIzCM8eS69zJ8nG5XPD5fPD7/aLw0fIPhUIIBoPY399HsVhEvV6H2+1GJBJBJBJBo9HA3t7egMJhCj3tjH5V6PV6h8KFX4RhyibwnFoMBALynefQ8vIyLly4IOdTMBiEx+PBzMwM5ufn4fP5MDU1hWg0KvuGlo5t2/B6vQAAn8+HYDAo59b+/r4I8k6nc+g5RmWfnGkey1EY5gQzzXZuDkpyhvaRUzZjxPmlrRy+F68hh2k6LfWC4QHpRB3oZx9nquw8wIOKDn1qX8CBs59KAf9G7dZpbCc4Gk5r0In+OspHdRI+nvuRQoZ7LRwOi6+CCoTX60UkEkE0GoXH40GxWBzYb8PouVcNp6x5E06KpZMrQEeFMSLV6/UiFAohlUpJiDGtl0QiIYFGZFg0C2MqvvrMAzDAEJjs0SidS68l3Bg4MLOZF6Edvzpqg9aJtpQsy0I4HMb09LSE8VEztixLTN1MJoNcLodWq4VyuewYVaZ/Nz+DMP0vo8AVm9CJha8K/CweLrpCghnvr7/MSBbz/YZ9ztuMo/wbFNo6FHxYJYNhB/swn4q2Qi9fvozZ2VlYliVzyKCYRqMBy7JQr9fl791u1/GQJF2mNe5XtXZP+lla8dS5Q3w9qXhGpwaDwYGESNu2EY1GkU6nJXclEonImGqhwfmq1WoSYry2tobNzU3U63Wsr68jm80OlH8xBd+o7JVThRufhdUCQISG9pdwc3DBcTIAoN1uC+WSTqcxNzcHr9cLt9stocQUIN1uF7u7u9jY2EC73Ua5XJZDDoAIL02D8XA2n3WY405/f53ghj1uktxZQGvO7XZbnJaWZcG2bViWJSa71rIoWOg3GxeqcRTgJBBMvwcPPzMZWB9Cx7EYtCDwer2Ix+P48MMP8emnn2J/fx9ra2vY2dkRqrparUqiXrFYFMuUlI5WOkij1ev1ASXjJPTUy+Akzm6OFcvgmAqc3+9HKBSCz+dDLBZDMpmEz+eThMhAIIB0Oi1lXLQgIoWmFYH9/X3kcjnc+//sfWlvXOlx9bm97yvJbi4SNZQ4UmaksWcSI0Ec5FuAvEiA/FwDQfIlTmw4TmxjJjMaDSlK3Nn7vm/vB+IU6z66TTapJkXJXQBBqtV9+95nqeXUqXpevkSlUsEPP/yA7777TgokSTFut9uO+/2+GJc7j1hMSExDWjrBTnhFQ1zAhULz+XwyMRpyofEZDoeo1+uo1+vyGhcEjQmF/3YyINq4TDM692EiPyTEwA1hKgf+Wyccnd6zkNlkWhTtBDfp9zh56JetW3OPMjGdSqWwvr6O4XCIWq0mBkR3w2DlOL/XCepmIpuIxF2v25usOQ3Ta4PNvBONBvUVHV6iMoT2dVGkmXfSOchyuYxqtYpCoYD9/X30+31bQSQdM31/JrLyIeVODIupsDVNmNgjixxZBERDwMli40kAEkZSmek+Oe12G61WC4PBAOVyGZ1OR4wGP68Nl2a0kIUxbYPqv/m9JszzIUQnx+clTkrsqntgEr/RaIiSmQXL1vDCbYzhLNDPfRbuGafOFFRU+nWNvU8zKvztNA6cE4/Hg3A4jFQqhWQy+U4RLEXvJ62AWfSnHQwqW34P8xLD4fDOevnNItpp5G/d4455p1gshs3NTQSDQYTDYSQSCXi9XmQyGWQyGYTDYdFrGqrU19QRy2g0QqvVQj6fR71eR6VSkahf35teDxxf07g4PdNdyVyS97PkHPRipqEIhUJYWVkRoxKJROByuSTsYyKLyl4zVKi46CExSsnn8zg7O5P/o9HgBGvDNhgMUKvV5Lv0fTKpZj43f2uWBif2qjG4TZknjHDd6EcrMPZkYzSqa4a4kfgd5nc5NaZ8n2fQv837/VjE3Dfm85B1xH1DR0q3T9fPaxonp6iGhoFRyoMHDxCPx6VVEkXPu6aVk3yzvr6OpaUljEYj1Ot1iWS0t89717DpfRE9NtroMULxeDxYXV3F48ePEY1GEQ6HEY/H4fP5kMlkkM1mhdVFmF9HaFpvECru9Xo4OzvD/v4+KpUKzs7OhEEJ2HM+rGnR+0rft+kcXtdZfB+5ccTitGFnUQpmUpBNI/UGAS4GWofQhL90fQsnnEaEVakaf+Rmomenq/Y7nY4seLMiWRsWip5gJifpdXxIaOw2v3MWx4H/x8iRitBJGerrci2YRud9nsf8PvP+7wNUcF3RDpF+TUPFrPTWYzntObmHpv0fv4sUflJgp+UbNczMz9Jh5F7lfemiPhox7qX7Kmb0R6fJ7/dLTQoNC9lxZIiZbFUnBa+NV6fTQbPZRK1We4eWr+FF3sdwOLxyTd/1HrixYTEtoJM4LUJ+Vnv+wEV3Y03dM+l0NEKWZUlrFpN5BEBwUHpdHo8HqVQKiUTC1sZ6NBqhXC6jXC6j3++jXC6j1WoBsCdF9TNwoTBRyWSabuFwHwuWriuXza0593qh69d1XYXeQLqtiIYFTLbLvKAxJw/uYzAuNLqWdV6BnU6n4ff7kUwmsby8bDPIo9EIBwcH2N/fv5JOTONkGimud7KbQqGQ1GNEo1FBFwaDAZLJJOr1ujhq+mwSHfH4/X5BDegsaoSBEa42NvdVtJNLYdRBw0gHWZ/Hoo3LtG4HhOX7/b44u9QtFI6pRgP4/06Ry1X6V0PQ85b3akLpZFymRTJ6UnToDFwoIGKyWlExRAYgFD7LsmznIujOxToaojFhc0p6E8lkErFYDKPRCPl8HpVKBd1uFwcHBzg6OrJ5XvqZfD4fUqkUwuGwhKyNRkNaNgB2o3LfFdc0Mb0qpzmfhttTTJaSxpcDgYAw/fi54XBoI24wGqVcZyxNr8yE3e4aFrip6KrudDqNL774AuFwGA8ePMAXX3yBUCiEarWKUqmEbrcLv9+P09NTqdJ22qOmMecaZ7KZ+4P75bPPPsPz588RiUSwvr6OWCyGwWCATCaDXq8nxJt2uw0AEtn4/X6Btzudjq24jw0UmU9gr637ZFgui7K1MALj+o1EIlIoGY1GbQaF+s9ce2TQdTodYdg1Gg20Wi1bhwDCaowkdZ6ZY6gNtBnZaMiZa+O2nOD3gsJmvaFZMHsaF3qzujUL4Sb9//QQ9MYhJKVpryxG4jGsDF2TyaT05BkOh0IgYIdRXkMbF7ZsiEQick329PF4PBJFfWhYbF7iFIVM8/7N1/hvPX/8m7ky7fkxV6aLxPh91x1D8/1OyvW+i3bEGGUTcllaWsLGxoacojoen5+KqqHkabCSNix63nQhcTgcRiwWk2LHeDwuvfhI06eSowftVLWv5x+wJ/l14fMsBYt3KbOsDxPC0sgLnSr+bTqpejwoJqSvjz/WnyOqQ8Oi6/+ugpypL01W7G3ItZtQEkKaxbu4LJqZTCaSY/H7/bJhuDn43l6vJxEJi6v04AwGA1tlPdkrTKwtLy/D6/VieXkZqVTKxqOnQYnH41LgxYN3SA+kIiRERxit2+0ilUqhXq+j1Wphb28PlUrF1iDONC4fOg8y63X4zLquRydpAXsxnk7Sc1MA9ip7DUuur68jm82K5+Xz+TAcDlEsFnF2diaG3e12C0RZr9fl+zVhgvdzmec1LTrR3hyAdyicH0K0gggEAojFYvD7/Xj27Bm++eYbpNNpLC8vIxqNShJZd7jVPbxMg895YHTCfcAeVtwr6XQayWQSwWAQ29vbkoSORqOybxKJhBAEmNQfj8cC30wmE+TzeViWJblPrYSd4M77EkU6rRGNsuh8YqFQwMnJCarVKobDoTgAwWAQqVRK4ErzWvzN8WARd7PZRLfbFSeZSI7X68Xa2ho2NjZskX2v10OlUhHHdpoTyHWho5vblGsZFuKvuuU0xSk5xN/TLCkHLRgMIplMYnNzE9Fo1LbwyBAj550GhUkrj8cjMACvt7S0BK/Xi4cPHwoVcHV1FYlEQrwrTury8jL6/T56vR5isRiWl5fhcrkELvN4PIjFYgLdUFgJW6lUUKlUAAC7u7syaSYF87Y9snkZFgDiIVNBcRFquIJwBxc/Fy3p3nwvK/IDgQASiQSCwSC2trbw2WefCeuIx7Du7+/j5OQEAGRdsF343t4e+v2+tApntElaui7AvKqDgn7dsi5Yire92WYR7e2Hw2Gsrq4iGo3iiy++wD/8wz8gmUyKcR2NRtKgkLAwFYhWMjpC4bz5fD6sra3hwYMHCIVC+PLLL/H8+XMEg0EkEgnpYcX3akSBa4JMJ7ItSTcfj8/7cb19+xa1Wg3AhXdu1jKZc3JXjtisonPBZDty/C3LwsnJCTqdDvx+v/RLY5THAm7Argf1NbluW60WisUiqtWqnOPCfcMI//Hjx3j06BEsy5LCVJ5sWS6XYVnWVOeI8+7U9WKeuoNy7YjF5NPrG7vs78uux0iE7RBMT4aDoWEmRhDauzWvF4lExCgQ7+X1iOHrsDUej6PVasHtdiOdTkt+hh4IcLExuJBoqPR7tAHUG+U2obF5XpvGgmPq1KGYFcT0hriB9HktVCBaqbFSmfOSTqeRTqclT9XpdABAKpd5eFI8HsdgMJAuC/pgKm564EKBzWrINUxwX0R7mIReqaxisZg4W4D9SOjLDKMJrXk8Hun3xfZIKysrEiVFo9F3oCwdmbKVEqN5CnF+y7LQ7XalI4MuCqRoA3Lf4Um9nnQOg63y+aztdlvIDHQwndilvCbnjk4TnWhenw6bbrbLNU+9qHWh0zhqosy0e5m3XLttvm457fQQ1zUmuqU0rTO/i55Pp9OR72VEwOQfAAnTaeW5KdmCQd8/AFudTKvVkiTZeDxGIpGAz+fDysqKJN8ikYh07KUMh0OEw2G0Wi1UKhUMh0PEYjHU63V899130tlVQ0N34YHd1MBoo6FhK0InVEhUEEtLS0in03C73bZD1E5OTsRz4hx6PB5Eo1GJArPZLD7//HMpkA2HwxiPx/D7/chmswAgbTKGwyE2NjaQz+ellQXhllarJYe45XI5OS2UcAIjJs6tGcnweU324V0LN7xlXXSU8Hq92NzcxNOnTxGLxfDw4UPB1Mky4r03Gg3UajU0m01hWDkZGbfbjeXlZWxvbyMUCmFtbQ3r6+sIh8PY2tqSSJ/Rqo6eeJ/6b11jpsePDkWv1xP4PJlMIplM2tq4kCJNZTdt/O9D5AK866zw/rnGKpUKisWiEHs+++wzjEYjYdgxN8y1yOi+3+/j5OQEBwcHaLVaaDabtgQ9c7uJRAKJRAKTyUSiVOpRGndW6FP0GtdFqjyThvp03mN8LcNChT7tRkzPb1qilxECvV5S85iM1J+n4u92u7bjPnVehbAJAFsEEgwG3zF0nNBqtSoKqVwuy6ZbWVlBMBjE8vIy4vG4eI2arUaPgcVfzWYT4XAYb968wenpKZrNphirZrN5J2wXHc5eN7TVz8XIgmMaiUQkctPEhfX1dWxtbcHr9eLs7Aynp6fodDoIBoPvUEoZAS4vLyMSieDx48fY3t4WL4znt6ysrEgkouG158+f27BoXpeeYrVaxbfffovDw0N0u12cnp7KBmdLd8IX9Ka5Vun5fUiKuGZ/RSIRpNNpBINBPHnyBD/72c+wtLSEra0taWFED5brkMywcrks464p+FT8brcbW1tb+PrrrxGNRvHw4UM8ePAAgUAAmUwGyWTSlnTn2tC/eb9mJTlFQ8CkEicSCSSTSayuroojwCQ1oTN+BrAXDt4X0WNJBc3xJ/KRy+UQDoeFGl4oFBCNRgFA1jhJKuwJdnJygna7jbdv38r6bTQaEoWkUinEYjEEAgEsLS1heXlZxpaHh3EPuVwuoSxTOD90cvkaiyv1s/A55yFzPY/FaRFOM0A6LNeejzZMnDQOAL0DTjC9Ki5y4GIgNTzGjcV7p+KjsWq1WtKin5/TRZTmYUe8HpPbk8kE0WgUy8vL6HQ64m3r9/O5b0N5mZ6kk0Gf9TpUcjT0hBF1Z1Z6oDy/ezAYiJelvTP+n8t1fn4Hz6Vg8Zg+nA2AOBvARR2RuZaoNIfDIfx+PzqdDnw+H9LpNBqNhnTaZY0EIxcaD15PX/tDRiu8F90vjzBgJBJBPB5HIpGwsej0mJDCyx/NUNLCNcIW7owg9TlGTuwi899O13R6jzYU3FfsQs49ZhIM7kue6zIxCTl6vJn383g8jmemaPIJ89S1Wk2ilHa7bXPGAMjc6B/CX3qP6PGcBuua0boJTc5Trm1YdO7AFB3SA7AtHP0eTaGk8qLFJYxCqIsDTkOgIRaKrpfgj6ZPEpcHzif/+PhYuh5Xq1VRiqPRCJVKBcFgEL1eD0tLS6JE2W6G1+NYMHoiPh0Oh/H27Vvxlvf29mzh720YF5frvGcRcw38Pp0bMZUSw3LeC42Jx+PB06dP8fXXXwt5gdGabqb34MEDLC0tiVFgxTAZfiRW0Divrq5iY2NDYBe2Dte4vWkgpykrrgGSNdxuN54/f45sNot+v49KpSIGhj2XGo2GDaLUSUx+310bFz5jOp3G559/Loqe6259fR1ra2ti2AmpNptNqV15+/YtSqUSisWidPDm/Ou5Z08xziHzXKztIjSi7+2y+9ZwNq/HtcB1rqN79r3ivOh7BN7tcXafxTQuvGePxyPU7Gg0KvkrXR2v0ZLT01McHR2h0+mgXq/LumZHZI/HgwcPHmBjYwPBYBCbm5tYXl6Ww9VKpZIYatPIm2NoRia8bzMynFfk8l51LObi01GCvjFtCGhUSN1lUp2FP5Z1XvxI7JGKn5WoZAEx50EjQmhAJ6noEVuWJZPX6XTw+vVrHB4eChuMIWKpVBKvu9VqYX193cZSY77FCS5YWloSA/TFF1/I9crlMprNpoSjt7FxPB4P0un0O6wp/taRocbNtXLlaZvBYBDPnz/HP/3TP0lSXR83wM8TM9fe9mAwwNraGur1OgAgHo9LnorjozssmFHWNO/YxO6pYJn/4b0/efLEpqA01HlwcGCr9Gab9w+ZV+FYZrNZ/PVf/zUymQzi8Tiy2axEd4Qeyf4aDocol8vY2dlBrVbD7u4ujo6OhJLthJlzf9CRo1GhYaFxn4Yu6N/8W897KBRCPB6nprDnAAAgAElEQVSX/AmVqK5hKpVKACBrVDs+04zKvOGZeYppEF0ul5y9EovFBMKiXuO81Ot15HI5tFotvHnzRpxQfZREIBCQY4u//PJLfPXVV/D5fBL193o9FAoFHB4eSpGqiYzo+5wGLZoO+jzlVrobOykM3UZCt5nWyWHgYiCIv5oemC4Ao9fkBJvwWrTSrIdhdWur1Xonuc4NMR6P0Ww2xSAQtwbePX1Pe2+kB5K9Qxq05rLf1niTBkp2iL5Xs4jKNMDj8Vj498SImSgk/Kjxb0Yvus6HUI1lWZJY1qcJxmIxqVHSIfhl42J6hNwgrI3RPZhIKuB4ABddG9gTjv2cGMEyufyhWEm8dzKxWD/CMz302R2WZYkDRK+3Wq2i1WpJRG8WGuo55nzpOhYzT2LOhZOiMv9fk2W0Y6k/xyiTbL6rCiLvoyG5TDRTTifcaXipUzgOjNpMZxmAbb4Ii9K5ILmJVG8N0+u55nXMdW06+7cp1zYsGj7QXqb2wKhINWTERZdOp7G5uSktIlZWVhCPx+VcZ8Jg7Iaq62Xi8bgoBuLPNBrs6srJAiAnsQHnm5HsskKhIAVbeoA1m6ZcLgM49x5arZZ46E+ePEE6nbblhfjck8kEoVAIjx8/RiQSwZs3b8Q76Xa7AgXMW2gI3W43ksmk9FnjHGnjy/Edj8eSUPX7/YjH48hkMggGg/jyyy+lL5SOWLSHQwiKY8SCORoi4IIyTNhTj5deT3QazGpj/j834WAwkCjQ4/HIMa+BQEBa7QAXG93tdmNpaUlgiV6vh88//xyFQgG/+93v8PbtW2GaUWnflTD6ZeHb2toaHj58KMl7XTsCnEe/e3t7qNfrODw8xO7uLtrtNk5OTuS0QRpRPd8ejwcrKyt4+PAhYrEYNjY2kE6nBaJx2s/a2EyDvHXEoo2KFl6Xc0gFq4kdmjih16z+fV+Fzg1bUT1+/BjffPMNlpeX8ejRI0SjUWE28jlZLEq6eCgUkv1KJ5j5RxJotDPGiD+ZTOLhw4eo1Wqo1+vSpf3s7MxWxEykRNd8ab13W9DjtenGTiGV+eDmoiRzwefzYXt7G8+ePUM8Hkc6ncba2prQK3WxULVaRbfbFUaPZVlIpVLY2toS+l0oFMJkMkGhUMDR0ZFQUHkAEYW0YobgzNcAF72NzCjJ7Xaj2WzC5XLh4OAAbvf5qZVMfJpkA/72+/3Y3NxEJpNBOp3G7u4uSqWSsJP4vfOU0ei8LXk8HhdDrSNBPRfM/QyHQzx69AgvXrxAMplENpvF2tqaRC6MNHThoQlp8pk1s0sfVaDZKlwbFCoZGiOy9dhlgfc7HA6Ry+WQz+fRarWwv7+PfD6PQCCAzc1NZLNZLC0tyf3qPB8h0/F4jFQqhaWlJSls5eZm5HrXVfc+nw+JRALhcBgrKyv47LPPsLq6Kmd6mLUhb968wa9+9SscHR3h7OwMBwcHEqVQYejaI51T2d7extOnTyW/xWaWutiRc8Hoz4lurIVzSZhOf7dpGOilcy0xf6qdClPh3XfRuVzdsPOXv/wlUqmUvEZon8QKwrB0MEOh0Ds5WBoUwqEmocjn8yGZTGJrawuNRkPSBSStaKjY5/PJ+jBp904GfF65xvc+j8VcdCbMwoVKJUNWUCwWk/5DZuWzPktFRz4MDQm9sE+S3iC61kVzt3VFOA0IF4bHc3EKJQ0noS9CYYQsOHnTJoCJUsu6OAMmFotJMnuaF/i+woXHBamr5/V3ckGPRiPE43EsLS1J/iMej9sYQpr15oTHajICr68NiIYonWBK/tZMGc36YzTabDZRqVTQbrdRq9WknXij0ZCoSCeqzfwX1yHZevV6XWAx8vqnKdDbEq49Kn/z5EETPmXC9uTkRCq0Na0UsOc4uUeIzZPdp+n8wMW5Qlqx6cT/VaKdylnmWENCH5MhMUUbFs2e5HHEjDjNta/1I+EtTSbh3LHjgZmY5zW4dqhXqcf0PHBdOxVFTosK5zUfc82xaCiMoZzP58PS0pJEJmtra8IKohJ0u93odDool8sYDAaoVCrCkgiFQshkMvD5fFhfX5d+Rhw0QhlsrcCEPL1nLuZGo4F6vW5r9OZyudBut6X/GPFOy7LQarWE+spJnUwm+Omnn8TAZbNZmyKjMqMyj8Vi+NnPfoZgMIjT01Pp6tpoNOY57IjH4/jHf/xH6TbA8yCy2ew7p9dpT3F5eRnZbFY2Btt4aJycnHky9KrVqrQS0bkxLcyFcaNxPegTCHlt8vb7/b4c0kblQw8vn88Lk6ZUKgl0dXZ2Jjmz7e1tMXzmRub9cF6SyaQQLMrlMv74xz9Kkv+uROcaNX6uo0wzt8TEN5l/pqepa67W19fx8OFD6cjNyJHJY5JfqIw0a0hDu5rGqpWbvjcScfr9vk2J8f5Yf2R24tXes37/fRedV1pdXcU333wj5BHtlGlDQEchHo9je3tb9iHHpNlsSj88XSyu0RHT+TUjRcDef2wysdPz9Vhrh/BeRCxOXoy+ESqmQCCA5eVlqfB98uSJMF5YRczrTSYTNBoNod51Oh05F2VlZQXPnj2zJcW52Llgm80mDg8P0el0bDUnTNizKrZSqchga843MU5OgGkoKO12G9lsFoPBQJQ2izC1gaESj8VieP78OdbX1/Hq1SuBcfhs85JYLIZ/+Id/EI9/NBphdXUV29vbsjB1vZBWXpoHrxco55XwIquJv//+e3S7Xama15+3LEs2hdvtltbhpGGaXi0hylKphE6ngx9++AGvX7+WcF5Do2zMx3th80UWQjabTRtZgaIjKW7CeDyOr776Cul0Gvv7+8KmIpvttoUKWkfe/HE6GE3PAzsPONWT6UaRT548wZdffikFq1RG9Xod7XZbDBodOx2xaOjSzCOaUSwhOObjOPZmdKu7T3wstOJpQsKK1+vF1tYWvvnmG2SzWTx+/FjG03Ru+BrpyLwOC16ZJ2EEyc8wF8aoUjeQ9Pv96Pf7NtiUTgh1o3bQnIhHplFxev0mMpeIxQkOI8VRV3AziUrlo70W4II9ogdAV+frSEUn+gijENvXi5tW3lRWOsHFRa7xSdOw0HPnCZU8Gc8JMtDKjK37CTNddqLiTYVsNHowo9FIoB4udBoTzRAzr2F6yhxfjl+n05F+SLqQy2TFMYmsPXJuCP29vC6jTBaK6bbhOidGfJ7X4qZkYpJzaiotPR+EvkKhEJLJJCqVisAYTtHXbck0SPQy7/EyZUzFr5lJhJo5flTqxNz1WOqIhfuMY8z9NA02meaIadH79WM2KqaRJaMvkUjYavGmpQj0eOruEqzIN2uANHtSkxz0GGo9qsdZ67+7jgpvlGMxrbHptQLnSSl2Zl1dXcWDBw+QSCQQj8flXGitPMiFp2IkVMWeXcQsyd5hYp/eqmap6GIvJs50jkXnC0wP/TJed6PRQLFYlOubiXitwDREQAZWKpVCNptFsVi87rBfKq1WC//zP/+DlZUVPH/+HIlEQqIF0oDNiIpKy3xe0xull0RG1uHhIRqNhg1bZ0seRn/0dJPJpLQn2djYkP5QGmfP5/PSBufs7AzFYlHWBdcGYRRGL6QJs7A2EAjg8PBQCgtpxLWTwfnhOkkkEnL/Z2dniMViODg4mOu8OImGVWlUG40GCoUCXC6X7A2dpwIuutNqLF2vYUKP3HPxeFyiIG1A6FgAQLFYFIq6pt3TSfH7/dLqhbkErhHdDYNG3ezszffq35f9bY7TfRKt7PVxBsxTkqGonV++nwl306hqA8SoTzvClmWJMwVc5J71e+jo0uk1iRFmQblTNHIbY32jiEUnV7Vh0ThfOByWM1BYPcpkNg2Ihm7oQerkost1fnIeq3qJM4/H54VGZFq1Wi1RGGTD6CQ8vWGywija8puG0cSweT+Hh4fiqXc6HUfvmJNHw8J8SzqdxsbGBl69enWTYZ8qzWYTv/3tb/FXf/VX+Pu//3vB1nUNhJ4j/jgxcpywfc5ToVDA27dvhd5KIsDS0pJUCnMsXC6X9IgKBoPC7uO8M+I5OztDPp9Hp9NBLpfD0dGRrchP3yNbx5BM0Ww2Zb739vZkrWi6LXBBu9ReIxWD3+/H119/jUwmg1/96ldznRcnqEHvE45Do9GQAk7LsuR4B34GuGD4sI2Nzn1wvHl8MPcYFV29XhdYhOtxPB6jUCggl8vZon4NpQQCAfz85z/H48eP4ff7xRgDkL2oMXxzzzjBdR+b6HngHmI3jnA4LM5TIpEQar0TY1Q7u/o39RFhSQ1b6Twxc5zNZlN0i2VZ0lWC50Ixstcojf5O/VyX5Vgug8O0np8mc0vem4ZGK3mzmMcp4c0EprbmOjegE4yaRcQIhkV5fD9Fh/lmjQT/X0dhhACcvHl6DyQJOBkfczw0Vq0bZ85TCGsQuqDXpJXYNNhFG0YqKif4heNBL5u1JZPJRCAsjfUyh0AYjD2R2EeJuS8aCl08p+mXvC+9URjNcp7ZkI/Jd40n603shHuTSXdbUJg5nqaB1/CUeca53uSEM0OhEDqdju2cD+43RnB0KLjeaQDMXlJ0GkzDoiNGzguZk8AFZK3Zm2aC+GM3KE6iIxDdMspMoptQmJm70IrZaay0ztIOHtcIYCddmFC/acAuQ2HM55uX3Dh5r3/zh6czsl8UFRwHnz2nGE0wrAQuBoGGghMQDAZtsAHpvox0LMuSQ8K42OlFkQ3GjqpXDToniv+vE2l8Lymv9A64eU16KIXPzyLCVCplU8DzEL/fj8ePH0sbe61AtPdhLhyOqY5KJpOJUMJ1opbfk0wmMR6PUavVUCqVRCmWSiXxzOgVn56eIp/PC8X3+PjYRn+eTCYSvlMxRaNRm+NA48NoUzP32K7m9PQU3377LUqlkkROvJdIJCLPzrnk9fm9LpfLdqzvvEVHTnSydMJeO0+mN8h1GIlE8PTpU8TjcZRKJezv76Pb7UqnBK/Xi0wmgwcPHkjtwsuXLzEajaSodDgcSp6P+T/OlWYoaUVF2FHfy3B4fnLi6ekpcrkc9vf3haFHZ+OqXMrHZnj03mGOjggMc5lmjsXJgOh51cXKOv/LPmD9fh+1Wg2NRkNQj1gsJmsfgDhlJGXoYyIug/zNKMXpPZdFLVfJXFhh2qNifxxWlPJ1TaWkgteUVW46XYynoRAqFbajp1dqWeeFk5FIBMPheSvqSqUiiTBSfDXdcdqCd8o30LiQ2qwnkZEL2yw4wR70YgKBgORZ5m1YfD6fHC3LiEsbFxoI/Zz0ZJvNpihvNjZ8+PChFK3qzxFb5nWZxNcHTxEntixLqoIBSF8qj8cjxAId1VGhRSIRMVaMbBjxaE9Oj3On08F//dd/CRsqk8nIwWs6V6GJH7xv5n2Yk7kN0XAW8xe6CE5HmFr0+g+Hw9Jo8/T0FOFwGP1+X/pSce+lUikA56eZ/vTTT2g2m8jn83KeDb1rj8eDtbU1ZDIZGRPtHWvihHk/g8EAx8fH+P3vf49yuYy9vT25Pvcd3+8kH9qovI/CBC7m0TQu1GV0JPT3mJHcZDKRziI6wT4YDGRMO52OOGcejwfPnj2TtAANEREUdirRes6kF5uRE//W46JlGlQ20xjdZGBN0TASmWB6AWtmAx/YKfLRSUk9KFzk9Kw1s4sPT4iJSspkg1212K/6P/0e3h89apM1Y+YpgAucdd5GRQtbN/AAIL3QdcKeURkTfsT5WXRHnFbnTDjGrBTu9/uIRCLS/ltXzHOsdU2RZsLwmlwvvDdGMzR63W7Xdu9O2C6fhwqNjUZJw+QaoYPg5LDwvm/LsHD8nK7vBFNMi3zj8bg8a71elzmgwaZy47pnbQSZfFyzXIdscXRZEZ5Zk8F7JnpAp00njC+TD21U5iF6DZl5ymnvM2FCjiHXrdZZdFq5rwh96qapXMtmfpv7nTrWLI6cFRZ7X7nReSzmg9ATDIfD2NjYkCRiNpuVpFar1cJgMLBVzJt5FuYitCHQ7SBYoGfi8FrR1+t1lMtltNtt6c2lG98BlzNRzM2vIRQ9BrqQk3AG30+h0uOiYRW0UyXs+0iv18Pbt2/l4KtUKiUdUskw0oaFP8ViEcfHx+I1MXnMotZQKCRn1rOnFTdDo9HA1taWRBOVSgWDwUDyLZwjzewy8Wm/34/l5WUsLy/D5/MJx58GghAYDeRgMECj0bDVAemNxXnhOhmPz08EpVHhXOgqf3p4Tjz/9xXt8dEb5X1YloVqtYpgMChrVCtmrWgmk4m0TWeB8VdfffUO5Klb09frdZyenkoPKRp+QqVutxu1Wk0cwZWVFYFSiTBwP+v6Gu41ziXfTyiY158GpcwSLdymgQeuNm7TvHh+jl3XR6MRisWiRGs08ICdAlyr1ZDP59/pj8ZkPHUDj0Y4ODjA6empIAo0PITOAEhE7vf7kUqlsLKyYqtPou7RNS26559+NqdnfF+5cUsXM8dCiINMsJWVFTn2FICwsljwQ2tLD5Z/8zt0IpEbjwlaelk0SJxAet4suCMk5tRRddpzaIOpX9ev0aOmQmUbBw1n6E3IH7YsnzeW3+128cMPPyAajeLk5AShUEhyOrqZobmp8/m8NDYka40K5dGjR7IwWR+RTqclB0KveTAY4OjoCEdHR9KmnoZFt+UxyQWkzsbjcWxubiIcDmNzcxPpdBrj8RjlchmFQkE8c8KgvJbTnHFeuAYAyPdrr1DXzujft+FN62sSutC9nPSxzk4sPSppHttsOgeMGIfD83OGOP61Wg25XA6NRsOWpOdacLlcclJhOBzGgwcPsLq6ajvzPhgMCoWb+43fy+vQUeA+nsUoXKbInJT6h4hyLlO6vV4PtVpNCnTJZHS5zk8AZc6KhqRQKOC7774TogodOc2sZGfxyWQiTEkzGc9rut3np+Nyf6dSKaH1a51KZ4lrSzdaNfXetPQA33PdOXgvXEbnEQhr8AwJKjfmH/hwmgLHfIApVMSaJ89aFNJWNR+fE0AvVGPzN6E8aqPidG/8Tlb26yjLxDH1s9xWGMpF6na7Rdnr6EPDTPqZ2IOr2WwCgMwfw3CzBQuvQ8eAUBjnm/9v4rsmRsuiUZ7Fw2aMurGozn9Eo1FpJV8ul4UR5SRcB+12G+Fw2FafwefXRyhwXXGz34ZohWt6kk7Yu/4cf2tIcNq1WeejCRE6atTfr5UfG4jqXCf3r1mXwXHUUedtwrv3QUwDxzGk80S9RDIPcHGaJDsmaMIPERjNatW5UKfjQvS9mKxaOmqTycR2aKGudeJ962eY5gQ4QXrXlfc+6IsQBrt7/sVf/AU2NjYE+/X5fOh2u+LF9no9lMtlWNZ5U0Aye/gA9MJo7SuVinRyrVQqKBaL4v2TUcYz5tlXigfg0KvQkIL5DPpZnDBJ3hdwQXulV3x0dAS/3y/dYrk5deUyFwgLmVikOU+ZTCa2ql3CgLpDLZUSG9e53W4UCgWJ6micg8EgUqkUXr16hVQqJR1WdQEq8y00IvwsGXN8bs1IoeMRCATwxRdf4PPPP0ckEsHz58/x6NEjYRSSBcjkNJlPa2trqNVqiEaj+O6778RTZ6Sho9Z8Pg+/349KpSKnWeqN3m63sb+/L3AGX2ckdBuiN7SZ5zHXpZPB4RiaCWHWF7XbbXz33Xf44x//iFqtJslfE/7gnLDS27IsGRMSMJaWlqRDBqNxfj/3ajqdxvb2NnK5HF69emVzni4zknyWy8bpQ0cq5o8p1AEAUKlU8PbtW2Fvtdtt+P1+KeDu9/vY2dnBjz/+KMaHzrEmL+momTAwIVzCkOwFyHoZjhWPvKBDWCqVZL07Qb16DTo5Kpf9e1a5EStM/1CxxmIxZLNZPHv2DKurq++0EWG4zqNjx+PzavTJZCKJKR26UTEdHBzg9evX0k6En2Vr98lkglKphFwuh16vh2KxiEqlYuPgXzY4plFxWkh6ImgIiWFPJhNUKhVpjsm6CCZR6Xnrc63nbVjI3qHxZASljxzgD09bZOEcoSZ69h7P+TknOzs70qqCTUAZrtOrZTUxcB59NhoNHB4e2gwqx5gebjQaxcOHD/E3f/M3iMVicsSxruQHILkWGrtsNisHWzGPUCgUZANyo/f7fZmXRqOBeDwuSjSfz6PZbIpTUKvVbJ7fbRoW4CJvQphUrys9l/qHou+T1+E953I5lEolvHr1Cr/5zW/kyAmdGNb3QIXCNTMeXxwroWtidP8yPT+WZQntnMZHR2HTDIqT3ARmuW0xHU7t+XP8aAToyFYqFYFvvV6v9Dvs9/s4OjrC7u6uOMBcszw6xOv12k6y1YZFQ+y6TY9O0FP3sjOITiHw3Cnt6PE5+Ps6czAr3Hkjw6JxWh7HmUgk3mmD78TNJ/QwGo0klKZh4cPTe2QYqZNevAe+T+PMTMZeBTHM8owUPZBmIl8XLXFj0qPXxZxU+JpKPW/RHiOp0SbsCFzg+hqe5Gf5XnqvnOdgMCiLWbd218WtpA9Ho1Gk02mBR3SOgNGPPo6a5AId3pvelF5LhEDNBol873g8lk3t9XpRrVYRiUQk58aNTQNjRpi3KfpembcyOxoDznkH03umMhgMBqhWqwJpch9cBgPr6EWvUb5f503M9iQ6p8ommvMmo3xIMXMrJnEHsLO9CL/T2eK6033vqOAZQZi1ejpfBcBWbKmZedrxotOqj1c3C4zNPJ2+f/N55i3XMiwul8vWztnr9cqpaSsrK3j8+LG08NBCzJxJVSZ6WYjHUI+bpdVq2ZKO9EY1VGJimOwhpfFkwLnala+bwkk2X6OxYNKMkA6jApfLhVevXkkfMSpMdgBmF1KdRJ+nEBKZTCaSrHeCV8isarfbcLvdNs47PRyXy4Xj42PJg0QiEZyensLrPT+3fnV1VSKISCQizUaZdOcxB81mEzs7O3j58iX6/b60vQiHw3jy5IkcKkaYTRsGrhduHEakjFQ4FyQC0MAzcjk5OUG5XEY4HEa1WkUsFrNtxG63KwQP1iSw1cxtiBkVkzq8tbUlESHPitF0e3PtmfM5Hp+fJf+73/0O+Xwer1+/FvhlFiOpIyatjILBIKLRqK2KXxtEFghy3HWR83WiFadxuuln30dMo0kdoBU52XzABd16NBqhUqng+PgYoVBImHc+nw+1Wg3FYlES/NVqVaJ4jmEsFhNGZDqdRjqdBgAUCgVxdDgHdNgJ3Z6dnQkL9PDwELlcDp1OB0dHR7a0g0lauiu5lmFhOBYKhaQv0+bmJn7+859Lk0kqUo1704tsNpsoFAo4ODgQy06Pld6PZVlCmxyNRmJ82HeLRoseGimupDPrgTS9vKvCPr2BuTFpDDTMReOqOwDs7+8jl8uJJ+p2u5FIJPDFF18gmUzamEDzNiyMBBkp6S4A2qgyStGHfWkqI++xWCyi3+9L5TpzSNlsFv1+XwwOn5VjApyfc7+2toZOp4NkMikeHZuPRqNRPHr0CEtLS7acjX4WQnvscVUsFnF6eir/NiMX/Yz9fl/ycJZlYWdnx9a7SRdjTiYXLd8ZNc9bTKPCtRGPx2XPLC8vCzWc0fh4fNEw0oxYtMdcKBTwv//7v3jz5o3sg1kiY6dcj6Y2s4OGU3sgzns0GkW325X9rq99n8XcfxqJ0DpAj7t+Jm1g6vU6jo6O4PV6hbHl9XrlKGlCkjQ6OjrRzULJoqXo3m48y4inoZIBeHR0hG63i1wuh+PjY9t5RZrW7AS53ra8FxRGNgJhDU1LNPE8hmz6h/ALPWkqA0YivIYZmutQnlGNHkAn70PDApcpdnr2+nl1U0NCAPQu+Xy6EJC0Wp03mrWA7KaiPU8d+jo9q4nz8zWKjgCYO+n1eojFYmg0GuIo8PN6nHVLF9Ig+/3+O6eGam9QG0EdjZJFU61WbcevMvIwu+lSSWqGHpWAnkPzeTU0cdvCiGUafOSUMHZykLimqLSugr+mfY+Gq03I0fTknT5rMsZuIvN2tG56D3odzxI96fVqWZaNjanzi3r8qMf0KZH6qAMAEskzYqEjq0+l1Llo7gemDHTtnPmMd2VcblTHwtwKz0fPZDJYWVmRh6fy5+LvdDrI5/MoFouSXK9Wq3I94KItuE4MM2HMM8C56Dl4ZFhoQ2RZlhQI0Shw8jnZFD3wOinK6/CH0ZTX65Wupoxe2JyPp1PyPOpgMCiFhAyNyQoz72Neomt+gAsYz5w/vfCcCkfpLblcLrRaLdTrdaEyVyoVOVvn888/lwQ+Fzz7JQ2HQ/zsZz9DJpOxhf9er9fWz0vfj1aSh4eHePv2LZrNJl6/fo2TkxP0+30cHx+jUChIVKMhMD63kxPB5zETsTTEt51j0dER+4WxLofsSN6vmZ80ldNwOBQYJJfLSYuhWYqAKVzXzHvxrCQaft6jaTR01MI9q88BMo9LvkpmMSq3rQy1UTHhcO3t6/vQkQz3MzutM2eWzWYxHp8XSJKByN5ufr8fKysrWFlZQSAQQCqVknZJ4/FYalp0eywe4sY6Pr2HzQ4IOhI1n/V9x3OWz9+IbqyVbSQSkfPSTU+Hg97tdoUxUS6XhZ1DS8tNT0+O57cQdiOLSUNdpLeajdcYVfA+GSWYORbgwpiYHrNO4FE5E4aj160JDMRaWWhII8RKcY/HI0blNujGFCpbfc9cgPoZNZnAiR5K74djwN/VahW5XE6qwHmSJP+fc8/vZC6G30VvTid8dQK50WhIpfiPP/6In376Ca1WC69evcLr16+F3cXoUEM+02iuFK4F0xNlxAtg7gZfrzmOC4tkvV6vHMmcTqcdDYtTtADA1i26VCpJftFkkl11X8wHklJMYgVzTpqgYd4D51rD2ToinHV8TIhPy11CN07jbcKFTkKnFYAwV6kb2beNFfWj0Uga0erCRhYzU68EAgGk02lYliXzYRoEXS+mE/e6/ZVpCHm/1zUus0Rvptz4oC8dojkxWjjghINYhEYKsNneQGPt5oTSmGgGhPZuNZY4bUAue838P24Yetg0KibmzI3M59BtQrFnzlIAACAASURBVFg4SeYRYZzbqvDWMg3v1grY9MAu+5sLkXRxl+u8ASVb5bMo1owSqCT5XTQmWoHrCn1es91uixduEjOc4K9ZMORpG+oulJdW5IlEQtocxWIxG6POZPNMe47xeCxjpWnm8/BEr4PJ63meVe4D7HWVmI6m6bSY65tGWB8Poo2yzu0B9tymGZFS92jWLRukct1rViTJM4TRnI4N0c/EPXATY3EduZFhCQQCyGQyWFpakhoEHRUA53BKtVpFp9PBwcEB9vb2cHJyIr28zOQSPToAthbu7PnE2hEWPeZyOZydnUlExBoEXQmsoS0zUtGemBnqsz0NE6psZcKkJaMR8s3Z3kVTPZnQPjs7g9/vt7V4uC32EWDPJVCB682hDbX2xGZZXNqz39nZwb//+78jmUzil7/8pYyVk2Oh54FKkZBgo9FAo9HAYHB+QiWbSL5+/VpIHrlcztZE8aroZJrcpQdM0RBLJpPB3/7t3yKbzSIWiyGTyUingclkItR601Boo0ho5dtvv0U+n8fbt28d61UuE15PV3/rDhe6rxSRhGnX0b/1M1/HKOn332RebyJ631NpTxPT0OqoktEFj5TQVHt+VqMorLpnxGK2bWGUQrYk9Q0A0R9u9/nprDwOeTQayQFwPAWVCIFmfTrt9cscGP33dR2CaxkWLmyGedlsFul02mZYeENMurZaLRwfH+PNmzc4ODiwca31A2hFr+mzk8lF37B8Po/9/X1bSw6GfTq/ogfBCW/Xm0X/zf9nE0b2SdJt3vV1m80mcrmcrXobgLRIIQ5NL4Y5mdswLFoJ6KS4ibtrBc/XZrk2cOFpDQYD7O7uCvMtk8lge3v7HQVEY6o35mh03rjv4OBAcm90NFg53Ov1sL+/j8PDQ2nEp89sd7rn91FEt6XENHbvcrmQyWTw5Zdf4tmzZ9KolR0C9vb2UKvVxLDQmTIjrclkglqthh9//BGnp6c4ODiw7ZXrPDPHUyshbWAA2Jy09402zAjHhJ5u6jDM4z7MKMV8r3lPdIRpUBiBxmIxKVAmPMnogoa81WpJRxITjna5XHICqNngkw60ZZ1X28diMXHmvF6v5JyZb2Muhntd514p0/aT6Rxcdz6uTTfWSVhCQxrC4kMQNmFynQblKvyPiVh9xCbfrw/X0tbYyZvQv/k6XzNpzkw4UymTWsu8EXMmGs90YrfRsPB+qBh0so3J/tsQJw9X3w/wfptXf45RGpPQpCdPYwhpJUang114SXxgMl6fMDkLPHRfxUwKm5Gx/luzscz3ayPAPBqruFlZfRNh9EoHgP3htGfM777MqFAf6PZMV0UtpsK+67md9jxmLsIpN6HhLx5PTFow30/9pxEV6kA6ytQj1Ak6z6zhNOoREiTG47HktnVxpj73nrqX98B6Ozp3V7Fkp8Fls0Jo14bCWCQYi8WkpxBzDvQ6h8PzA7fY6oAJRh328cb1wNEaEy4xcze6HYKOekxacjQateUFNCvJ4/EglUphaWkJgUAAGxsbWFpakkQmjQjDUfZiYlI5n89LMVI+n5dkvBOV2MROm80mLMu6VShMM5z0/WgD/D4bmQqO7Vuq1SoODw+Rz+cRi8UkCcz3MprVXQoODw/x/fffS6FisVh8J+9SqVQkr6LXzMdiYOjR6kQ8i3krlYrkKdlXiv24gsGgYPUaoqHi7/f72Nvbw87ODvb391GpVG6Ut6Ni43ew710sFsPm5iYymYy0JmJ9jVY22skMh8NYWloSSJMRFL+H79dj45STvStxUqRm/Rrfp1/n2gsEAtIHcXt7Gy9evEA0GhWYnzA5C8Gpt/Q6drvdKBaLKBQK6HQ6WF5eFv2jT6PUsD2hMUZBKysrtp5g3W4Xr1+/lpoWMlH7/b7s0eFwiHq9LkdPmA4PYDcqptM+q9woYuFZH4lEwnakKyvRmV85OzuTGgR9jK82LJw4GgEAUqVPJWbihNNCN3oSvCfCZXpACHOtr68jFArh2bNnePz4sTAz2NaeHkO73ZbqcZ7D8ObNG0k284S9qzwALbdFN9Zwk6mETSPzvt/TbrdlDM7OzlAsFjEcDpFMJsVz014f4c12u42TkxO8ffsW9Xod+XwepVIJk8lEeP30sOhtTcOH77uYtSCk3rMDbSAQsPVoM2vBNPTHPdVut3FwcIDd3V2cnJzYerJdV9iNgPAknS5SmEejEWKxGABn8gP3bzAYRDKZhGVZ0n+Nn+H79GecojH9/tsWp/1pzpP5Gl+3LEuKQ9ll4unTp0in03j9+rUcller1XB8fCxRuD4Ij5B9uVwWQzQcDt8hCemIF7Af28EcDfc7Hbd0Oo2zszN0u10cHx+jXC6j1WrJZ0mg0oZl2vjwfs31Zc6vk1zbsOhaFXqjrDjlDfd6PWH1aAVh3oiJcTp5pU5wyLSwTL+HoSUxSN3bKJPJIJ1OIxQKIZVKydGu9BhMDJLKgM9j9uTh98+yMW7b43aCv94HK73se6j0GcmNx2M5dlfnW+gU6OQwvSyuDcBeqPixwl8Ur9eL5eVl2/0zkiacxVoUwJ7E1n8z8ux0OiiXy3LUgc7F3FT0XjEZjWQ1kiyh8z3ABU3c3AfaaFwGN01TaHpv38bcO0VL5r1Qrzl1HOBvDVfpPl9U8hwX3f5e11LRyeA486TP4XCIYDAo7wUuCpr1MzAKNseLKQrz/jUU7fTMejz03zedg2sZFo/Hg5WVFcTjcbGqvV4PZ2dncLvdaDabODo6QqPRQKFQwNu3b4XVo8/CdlpYujJde/+XtSUwQ/PJ5OKgJw4wC9JWV1clwtre3sZnn32GcDiMTCaDRCJh8wyYmCft9fXr1/juu+8E/mE0ZUZglxlO3u9tCheP/rfT3/P8rsFggJcvX8oBUV9++SVevHgh9Rrs7dZsNlEqlVCr1cRTazQaAp1y7nhtPe+3lZO6TUkkEviXf/kXGzzMwllCJa9evUK/30cikcDGxgbC4TASiYTNU2TB65s3b/Cv//qv0hOM7Mh5wJoAxHANh0Ocnp7ip59+QiqVkjY8Zu6EuUbWb+mqc9ZYmAaHv6nwzHu5q8hU14AAzjUsuiZLK2YAchgemZC6iSmdT8JNOgfLa9C5KJVK2NnZEQZYs9lELBbDL37xC9upnTpyMaMX/k3YmVA054HGv91uSzRFuNwU7dAB048xnmVurm1YyIBg/Qo3yWg0krwKj4Y9PT0VhcIHmlZNDNj53RrO0aGYGYqbypM1LuPxWJgToVAIa2trWF9fRyQSwYsXL7CxsSEhbSAQsIWUw+FQCjjZHv/7778Xo8VeW/p7pxm9u8aS70oJa8NyeHiIbreLaDQKAFIwywgGOFdcxWIRtVpNKpF15TzH3Ym58jFGLaFQCL/4xS/Q6XRQq9XQ6/WEKDIcDlEul7G7u4tarYYHDx5IoanOv00mF0ygvb09/OY3v8He3p50Z54HpMp5ZH5zMjk/huLk5ATdbhdbW1uSlNewJhPF3A868tRtl7Roz9/0wKlwTS+c9zgvoYI29YipwPV7KfybtW36IDQT7mVKgPkmM3czHtu7dViWhU6ng3g8jvX1dTx8+FC+0yRzOEFkfB69xvg9JBDok0rNQlbqL0ZTpj67Tn4FuKZh4cB1Oh1Uq1VpL0BuNvMpurCN0JH2PvWC4YCbUclNYRyt8ICLhD5xYFKHGXGZxUSkCRL/z+VywnoyD8uZNtjmfX6MinFWoafZ6XTgdrttUNe0aNP0Wi+L+vj/H5tMJhenYOrmk/w/sg9JEmHhpM5PMWJht2/dZWLeY0IFNBgMBG6bTCYol8u2WjUAtq4XlUpFesnpPQdc0O3NcTH/PU2J3da8X7XGdCRjoiJ8ncqeOpEthWaJsHVEQANAnelyuSTvSHIHjRd77M2i5Ln+yB6kUTEZYdOe/X3lWoZlMBjg9PRUFnYsFrNVQ7fbbRQKBbGOun2zjlicRDOr9ORc5uk7eTY0dKTmMa/CLszszMzwXifE6IHV63X85je/wbfffotms4nvvvsO9XrdRiQw7+1DK8QPoXz5nTzdk2eelMtlSfyy67IeN24SelL6HJ5pDsXHZlz6/T4ODg6kDoq4OSOzYDCIR48eYTQaYWtrCy9evBBWHRVWrVbD7u4u8vk8dnd35Qx789Cm9xXuGzpk33//PQqFAmKxGOr1OnZ2djCZTIRlpPOl7XZb3s97InmGnTmACzSCRkm3oHGCv7SeIKlnXs+qx04bEYo2IDSMjBBMKjAPWms2m6jVajbI66r7ICuv3+8L05ToycHBgawRtrd68OCBJOydup3oex+Px8jlctjd3UWj0cDp6akUGZt1hDd14i+TaxmW0WgkYX273RblwAQVk/fm4JrMHn3zZsSi/74JfKSL8gBI0j6TyWBtbU3yLmyBwHtgQpXnKPz444/49a9/LUqTx7ZeBdFMi1auG0p+LELPiBFdo9EQ1hO9JCpKbVh8Pp9sLK4N/Z6PzZCYMhwOUSwWEYvFEI/HEQ6HhXo6HA7h9/uRSCTgdrvx6NEjZLNZhMNhABd9zdrtNvb29pDL5eTYgE6ncyuGVhe/npycoFAoIBAIyFG3o9EIBwcHOD4+BnBxNlK/30ehUJBGpbqBJRu2aphZH0rFcTI9aBOCmrc46SGz+h2AOKc0IvpsHDqlTAVwbq/TXofEJ+4PnpPUaDSwu7uLSCSCr776Cq1WC8lkEqlUCslk0vFa5vgRQdrb25Mjw2nMTYTgNvbatetY6HWw6p2Dw0XpVF8yzfs0I5N5WEwuStazEGLgoVRm4pAbajgcolar4eTkBLlcDrVazZYD0Pf1PoyV22K73Adh1Fer1QBAmIFkF+n3ce4/1bHQsDE9WdKzaVgACL3aNKo02PV6XY4MuG2mHNe2jqzoiY9GI9TrdWGxAbAVKmsHcTQ6P8+dtW502li0RyUH2LuKm/v/tpwxJ2dPv6ahL21MNBuLv3WxOBP5rP1hlw0nhMP8Xs3Y4jpxuVzXitaY+6JzbB5+OI0EdRty7ZYurMplM0K9KEyv06Qmas9FX5O/pz3sNMzVXHiWZUliLRwOy+mWyWQS6+vr0rVVs7+42BuNBn7961/jt7/9LZrNJl69eoVKpSLvmdXoXbYZPtWoBbjw+g4PDyWPReXB9hW68wIxaScP71MwNqPRCOVyGfV6XU4EZDHbcDhEIpHA6uqqVG5vbm4KbEQplUp4+fIl9vb2pDbhtseG+5jQ2NHRkeRb2PkCuMhd8r3sLsFcTDQaxfb2Nra3t+UURXb41t0zANhgOJNFdlvPx+9w0iE0IkyEm90QaDRYw8NC8U6ng0KhAJfLhXg8Lmwv3XVEQ3+8n8nkopCbEQsLYvXBdvr9Ts76cDjEwcEB/uM//kPq7ZiO0OSKWaB7J9aeSbi6jDxybcNCz5NKQ9+oyazQLA/TgFz1YE4POW2x6ddZuxIOh7GysoKnT59K7x2ns8VpWCqVCl6+fIl/+7d/sx2Le9n9Thv8y+RTNC7a063VatjZ2UEkEkE4HEYqlZLNyb5TjBBNGORjzKVME8LGzDHSmLJV0cbGhkDJVCT6qILJ5Dxxvr+/j52dHds5O7ctmhJbLpdRqVQAvDs/TnR6zVTKZDJ49uwZut0ufD4fyuWyMDHL5TIsyxKPXrdD0r9v8/mmoQc6GtGkCwrbrpCAQUo2iybH47HA7RrhcHKQdcQCQBwtDRXyXszPmELH7uXLl6jX68LsY7ripukFc85n0WE3Oo9lWh5BD6KmtJlw1yy5iavENCYMW9luhrU22osyC8roVebzeeTzeakNMDuO3uSepsmnojinCRcxFSVzAkyCclydIttPCSYcjUaCuetaBkKrPEbC4/GgUqlIWxttgNmU8rYhsKtkmjIyFY6pJNmkkRXr/Ay9dp3Qv0tY9DLlqKnG+sccf53E53vYEof5xZWVFWFl8blJ3Tbn1ITf9Fn3rMY3CzYB2K6roxxCj0SIrrt+pjnJs17jRt2Nnb5Ae60AbH/z/y9bmLPctBOXm/AXuwivr69L8WM6nRaPgzTKyWQidQCtVgu///3v8fLlSzSbTXz77bdot9uOmPdl93TZez4VRTmL0PPkGNZqNeTzeTkQLhwO244U5pphwdpdeeR3IYPBAMfHx+8oTm5yyzrvCxaJRNBqtVCr1aTobnl5GX6/H3t7e1LrME8W2CxyU49WlxMQkiaCQciMlf38m960dua0MZqnmN6/vn/+1s0gtWHhPFiWJc/Gnl6WZYm+6ff7WFlZQSqVQqfTwcnJCXZ3d23EBV5Pr3neWyQSQTweRyKRwNLSErLZ7DtHemsHnmSqarWKQqEgLDWnA+BuOq/X/eyNzmOZRYleJyq5zg07wW06ecYGkzxulRNBSGI4HKJQKOD09BTFYhF//OMf8Z//+Z/SMVbnU2YxdNNkHlHZxyi6yJGdi5mP4zk22oviPM4CI35MQsNqOmM0MG63G4VCQZycWq0m63djYwPBYBD5fP7aZ618KNGOJb1+MjK1l05IUOdqzQT1bcNhl0FSwLtFiSwa1HR4naDn+6LRKGKxGCaTiZySSoovG9b2+31bbkqPHb+LebdEIoFYLCa1TixK14w5OmQ8+E2fwqpri+a5hma5zo2gMPML3gcCmlV5c9AJqTAUpfdAw6LPPahWq8jn89LfzOPxYDgc4ujoSGoCqtWqTIAZYc3yTO8TLn6KQk+MUSIrj7k5eR6FCTnetUd+28JxcHodgNDztaFhIRxhEEKzN4EyPoRoqJudnHmQm+6xpxPZwN1DoLrYUyt13gtf10wtvT5JwnC73Wi1WlLjxpo5RuGBQAAAEIlEpHsxIxYaFuaqCXmxbRYb4vIwOBKPTJlMLvLEuoXMh6bu3yhi0b/13+YCmRdMRO+BmCM3HwebEAJzLLTWL1++xOvXrwHAdiYMiyC73S6Ojo5kYdyk99KHnLz7KMR7AaBSqSAcDtsotcPhEMfHx8JW0dDAp2RcuOFJfTeVWa/XQ6VSEdiFzDGv1ytnn7OThUl5v6/COSTsfHBwgD/96U/o9Xo4PT1FtVqVU1cJ0QB2yvFdCJ1URiBEPRgJ6Ih6PB7bGFmWZUnBYSgUEsiORwesr69LQ9tsNovBYCAOsSYDARcNdl0uF1ZWVpDJZOD1eqVmxe/3Y2VlRU6lZOsXc7zr9Tr29/dxdnaGcrlsy6/MW24lx/K+N3ET5euU1NLnrHs8HlujPGK5/X4f5XJZ6gbYp0qH30ysTqv4vu7zLeSCj29ZluC+bFDKWgweN0BDcxP892MQvbFNhUCDSm+Z0Tf/Xye5dSRw34U5CBpOtvbn0d2EgzT8dZfkDZMNRmOh6dP6mA7gIt9D/dLv91GpVNBqtcSItFoteDweMQ6ErfQa1/OtczZerxePHj3CZ599Jo4FO4QTAnPKDfH+W60WTk5OUCqV0Gw2bfTmDyW3ali0XHfB6MWm6X2agRGJRKRNOz0OXVPT7XZRr9cloWw2PPxYNuvHJBpCYK8iGhl6UTp5b0a4TtTyjz2a0bmVac4W/8/sQ/WhFcRNhZXfrNpnpMLW8NeB0W9L9Nhrg6INu9lYU0NYdBDopDKPqw3KZDJBMBjE6uqq5J9MuM3j8WBtbQ3xeFycZyIzJs2Ya4HfyW4h1WpVjmEw6wk/hFzbsMziVZgewXWubf6biXnWp9DAxGIxZLNZYYN5vV5MJhMb46RYLEpvMy4AegqfKrb/IUVvvOFwiGq1ilarZVOSwEWLH4rJ9AMg8BE3L6//MTkC2jMF8A72rRUMvVni9LpbAb3nD60sZhHeX7fbxc7ODgqFgrSnYaTSaDRs7LG7NC7aYHA9kVCgz4encJ2afQUnk4lEF0tLS7AsS9h9hPlIWtjY2EAmk5ECWJ2op6HhyaH6dX4XRTMLefREq9XCn/70J7x+/RqNRgO5XO7WGpVeR24UsVxmXExP86bC6xCj1vQ/Nrgjfk+cmlXyVG6tVgvValUmGLB3ATC9ZYbF933z3kcxvT/g4kRRYLZDn/SGIzShFcFVObv7KlQG5ppzil7oTNFTpWf6MTHmmF8qlUpydhGNio7egA8TsZh1dXxNGzuK/n9zneomqoTf2+22DeairlpZWRHDoXWbbhGja2j43doJ4z0SWjw6OpLjSYrFIprNpiA0TuSIu9RtcymQnPb6rA9yFW3XqUEcGSeEwOjdkqXBIiG9MPQ9Ot2XnoCrnm0hzjJNYUwbV75XQ5703Hm+98cOXZprbtpYcP3pavSP8XkpGg6aVnB8E2TjfYXraBrs6nR/WjRExlMgGbGQlAJc1MPwKAngPBLXFGVtaMz7Ay6iXDrNTMybZ1+ReUcnxAn9uUvjMtc6Fv4/xUyUmTJLKMxJouIhy+Lk5EQSZoTHAMgZMGyVYXqKl92/OSGXbYSFOMss4wzYI1LdHoNwJ7n7hIN0j7nbYLvchpgKjK/p34Ddc2WUN83wmJ+9DZkH6kBFaLZq4d/ms9yV06AjarMexOm30z2TAu5yuVCr1ZDL5aSVCwCBM8PhMDweD8rlMkqlEgKBgLR+0dG5ORYaUWEkNBgMUCqVJDL5wx/+gJ9++gndbhe5XA7FYlFyP4x2mRcyDcpdQKo3phtfR2aFzpw2jsbm9SCxmJFKiYOoT23jb/1jPof5/bxXc/HPC+L7c5CrIlpzzKlYyaYhGyYSiWAwGKDRaNiooB+bzBq1c+2Rlqrbu/A917nmPOR9PFwNx1zWBv+uI1HuZyeGmNP9mHpJV+CzA/VwOJSmlaTXE8pljcloNJLaFjNiMb9b51NoWGq1Gg4PD+X3zs6OHFWie4IBzufL3GXUcmesMMplUcplCkkrfOAiAUzPgQOpi+60IpsGfTlh/E6fWRiT+YkTBKBxaW5YevBkkX2MRmVWcVJqHBPCvHch5v6cx/deBjl9SIfNCbp3et28Vx1pkH06mUwkUmGHieFwKCyvaDQqbVmi0ag4Dvq6FM1s5Q+PMGC7FtYCsXEpIWQNnemuyDfpfegket9eRnyai2GZtjj0hJiTwv/XNzcNEjM9BdL5eEiOvqbJnrnKSl+WOAPsXtdVhuoq4b3+OTPRTAhAK01uIBqTWq2G8XgstQ937dnetjhtUjNa196r/pz53nncC0X3oprX9+i51oiA9tinJfVvY871WuL+Z3eIaetMv5+5XTK02O6+Wq2KMQmFQvB6vZIDCYfD+Prrr6XHGM9vMR0tzVolAtPpdPD27Vt8//33aLfbODw8RLVaFQPFTtm8dzph5tia4+u0rqaNOdMR1JU0ak7y3oZlWpJo2nv1zywK1skocOA1Tu+0OPV3TvNOOFhOz8JrT4PGrrvgL8slfaxy03GYVuzFDUF2n2b6fapGBbgcDjIdtPd1cK66L/33bY+5k8G5CzEdYBqWWdrMaGdUs7boFJGEwlIItncJh8MolUoSjTs5WYCducpIvd/vS4uqer2OcrkshAC2gmHxJvcXjY52xt9HeI9Oe9eU2zv/cyELWchCFvJnKdZ1PATLsgoA9m/vdv5sZHMymSzP62KLeZmbzG1eFnMyV1nMy/2UqfNyLcOykIUsZCELWchVsoDCFrKQhSxkIXOVhWFZyEIWspCFzFUWhmUhC1nIQhYyV1kYloUsZCELWchcZWFYFrKQhSxkIXOVhWFZyEIWspCFzFUWhmUhC1nIQhYyV1kYloUsZCELWchcZWFYFrKQhSxkIXOVhWFZyEIWspCFzFUWhmUhC1nIQhYyV1kYloUsZCELWchcZWFYFrKQhSxkIXOVhWFZyEIWspCFzFUWhmUhC1nIQhYyV7nW0cSWZd3o8BYe48njPs0fvsftdtveAwAejwc+n++d14fDoZzxbIq+9jzOl3e69/eVyWQyt3OKbzov17j+O69NO+rZ4/HA6/XC7XYjkUggkUi8M/+9Xg+tVuudeWq322i327ZjWZ2+6zZlXvPyPnNy0/Pe9XHbTmeZOx0jzp9oNIpQKASXywWfzwePx4PxeIxms4lOpyPH4w4GA8f9O8/ncJDiHA/6utGNeL1e+P1+uN1uDAYD9Pv9d8ZAHzet/0+Pvz7WOBgMIhAIiO7zeDyYTCa2fTAcDjEej2FZFvx+P3w+HwCg1+vJXOhju+/yeGdcMi/vfeY95bLz3D0eD8LhMNxuN4bDoUwKz66fTCYIBoOIRqNyVjMHM51OY3V1FT6fD263W87HPjs7Qy6XkzOnObj6mr1eD71eb6aBvmzzUVFOJhPbd80yiR/rQWocB24onu/NM+lNxcWfRCKBVCqFZDKJf/7nf8b/+3//D+FwGMlkEuFwGOPxGEdHR3j16hXa7TaKxSJqtRo6nQ729/dxdHSEdruNs7MzVKtVjEYjdDod9Pv9DzIO8xZ9bv20MXQ6+/yya9Foe71eeL1em/ICLow938Mz0peWlpBKpeDz+bCxsYGNjQ34fD6Ew2GEQiF0Oh383//9H16/fo1Wq4W3b9/i7OwMo9EIvV7PUblqJav362g0eh8n71ZPfNRjqBW1npNkMokHDx4gFAqhUqmgUCjImfMUn8+HQCAAy7LQarXQbDYxHA5lLlwuF0KhECKRCAKBAF68eIHt7W0Eg0HE43HE43GMx2Ps7u7izZs36Ha72Nvbw9HREVwuFzKZDLLZLEajEc7OzlAulzEcDtHr9TAcDt8Z56vWzhx009R5mYth4QIGYFs8VE7D4RDNZvOd9+gHo9KeTCZiwRnBcHKCwSDC4TAAoN1uo1wuy2B2Oh3ZiLzOZQOrxfQo9D3x/rUxMZ/RaVN9zKLHwefzIRKJwOPxiKEejUaiNPRm5N/dbheNRgPFYhGnp6eIxWIIBAKIRCISyWxtbaHT6aDX6+H4+BjD4RDr6+vY2NhAp9PBzs4OXr58iV6vh/F4/EkZlmnC9aON92WKATjfezQagUAAgUAAbrfb5mH7/X4EAgF4vV7E43FEo1H4/X48e/YMX375JTweD8rlMmq1Gvr9Ps7OENWARgAAIABJREFUzlCv1zEYDFCpVMQ7JkowHA5te0Lfu34WKrk79qKvLYzS6DzRYAIXe6HT6SCfz8Pj8aDf72M4HIqh5jiHQiEkk0m43W6cnp5KpMfrAJC58Xq98Hg88Hg84nB3u10AwNLSEsLhMNrtNnq9Hg4PD9HpdHB8fIx8Pi9OM++T+s4c58vG/LbnY64Ry7SbnUwmGAwG77xf/6ZyopGiUTH/z+/3A4BMpmVZYkzoUV8HQrlso+vvd/LU9fvmAbndN6HXyWhxNBrJPDJ0tywLo9HINlZUPJ1OB9VqFS6XC8PhEMDFJqaR8fl8skHi8ThisZhsYjoR/J77rJyuK3q8TGfmuvAXDbyGIQOBAEKhkCi8UCgEj8eDeDyORCKBYDCIra0tPHnyBMB5ZNpoNDAajVCv13F2dibogrm3Zo3Y77tB0eJyuQSKckIvRqMR2u02PB6PTcdwDXu9XkQiEcRiMbjdblQqFZkX7XhzT2nHjGubxopRTbvdlj1AqJhGBIDt930b57kYlmley6yf1RNIz3c4HMLj8SCRSGBzc1PwRb/fj/F4LAZGexYul2uuCt6EKi4znNNkjjjznQsXe6/XE6+KigW4mCsthEkAIJfL4YcffkA0GpW5cblc6HQ6aLfb6Ha7qFQq6Pf7GI1GAov1ej3U63VRap+S0Z73GtDRIhWey+VCJBLB6uqqeMc0OOl0GktLSwgGg0ilUmK0w+EwMpmM4PudTgfdblfmiH+bkcqnIhrp0FCi/tFr3dRZjHSazSbcbrdE2hrhcLlcGAwG6PV6sCwL3W4X7XYbk8kEfr8fkUhEXu90OoLCMLLR33ffI8G5GRanBzSNBmVaMlhHGowQ1tbW8Jd/+ZeIRqNot9totVro9XooFAryXl7ThLIuk2mLRN/PtOfT3qaTmMZOv3ZfF4IWfY/cLOYzDwYDWeBUXMB5UrHT6aDVauG///u/sbe3h0gkglevXuHJkycCy/j9fgwGAxwfH6PZbGIwGKDVaqHRaKDf76NcLktuhWvhUxCnvMq0/5/lOlSIdMYGg4HkJh8/fizJYcLLhBuDwSCWl5cRDAYBAOl0GoFAQHKSo9EIjUYDhUIBR0dH6Pf7aLfbEl1+SsZlPB7LuAGwjRdREY/HI3tZ72mOxXA4FN0EAM1m853Ibjweo9fryTiWy2UkEgnJQS4vL8PlcuHo6AjVahXtdhuDwUAS9po8wf13X+XahuV9IYlZGEZaCQcCAWSzWSQSCZRKJTFWbrfb9l69Sa+6x2lGZRb8+yb5k6sM0X0UjjPzG2ZYz80IQIgN9JoJe5VKJdTrdfj9fvm/QCCARCIhiUoalcFggHK5jLOzM9mAGqNfyHTREQvHignhUCgE4AKCSafTSCaTkmim4iQC4PP5RNlx/JkL45wAH9dankU4hhwnrnX+fZmDTMPBPNRkMrHlaUzjwn1Dx8nr9UoOmfuMzDPmM/lDo6/htbuQ6+qwaxuW6y4oza6YJkyCRaNReL1eJJNJZLNZBINBPH36FBsbG+JNMSnW7/clqeikgGaJYEws9bJISnsHTmOgJ3paBPcxGRhzLBiSmwYcgA2C1GOlI41isYhQKIRAICBeF3Cxufr9PlqtFlqtlmw+wi6fUsQyTd53TVAhEjZhUtjj8SASiUjCPpPJIJFIwOPxIBgMijesk/K9Xg+NRgONRgPdbtc2/p9arstJdK5X6xGdD+GPZr9RCG1p3cEx9Pv9AusnEglEo1GJWBKJBCzLwsrKCprNJoLBIHK5nNDApxmVu5iP637HXKCwacp71rCfGO/a2hrC4TCePn2KFy9eIB6P4/Hjx3j06BHcbrfgv/V6HY1GQ/7NTWEqdFr5y0Rjp/r++DkqOc3fd3p+J7oin3HWXM19FZ1L0dAAXzOZeBpbtixLmC3FYhE+nw+PHz9Gv9+HZVmC53c6HZTLZZTL5Xc246dqWK67Dq7K15EBFgqFRIEFAgE8ePAAa2trQpoIh8M2qEd70pZlodlsIp/Po9FooF6v22DqT1Wm6TCnHAvXJufA7/dL3Q/3u8/nQywWeyeSIYvM7/cjnU5jZWUF0WgUm5ubWFlZsRExarUaisUilpaWpO5LR0LzeN7b0kW3UseiDcZlEBL/nxFLKBRCNBpFKpXCZ599hng8juXlZWFGeL1eYSaRu62ZKvxubSiuilqmMTf0DzFsXn/aM02LeC6LiO67mHkyjgkVEwCb0XViDFnWOa+/2+3C6/UilUphaWkJLpdLIBaG/jrp+THlpe6DUCExH0CmE2vEfD6fRCl6HieTiU15DgYDSd7rWpU/N9Fj5OQU66Q8HS4yJEknBiDrGoAQkPhDxl4gEBAojKywyeS8vs/v90vJxXVzydOeS/99G3P73obFHHitgDnw0wZDw2TcBB6PB36/H+FwWBKLVDaVSkUKg1gcZMJUOoQlHMCJ15tHwzhut1u8EHrZfJ8JgV2WNJtmdPRzmtf8GMQp8tSJTf0+DRXoz3I9jEYj1Go1nJ2dweVyCfOLm+8qQsSfq+g1O83YmzCNLvTj+tdOkl7j9XodtVoNrVYLpVLJRpQx2U2fqpg5FkYXpBhrVEQ7o1T6pB5bloVgMIhQKCRzYtL0fT4f0uk0lpeXpTC80+kAgOyParWKSqWCWq0mlfg0VvN0Uq9jXK6KmilzMyw64UXLTSWsw8lp19B88HA4jHg8jkgkAgBSrLW7u4vvv/8e+Xwe1WpV6HhaND+cXoPL5RImksah9b2PRiPxqrXnx43IDWjmcq6j8PicTG5/DGIaCN1+gvg8x4qeLzefrtQHLmBFKi7T2HY6nXeM85+TQZnleU2FohlMwAVMwx+uXzoCg8EA7Xbbdo3RaIRCoYBcLodarYbj42MUCgWBm/+cSBQ6Ue73+xGLxeD1etFut9FoNGz1eNpoTCYThMNhyRPHYjGpadHGihCa1+vFw4cPsbW1hUAgAI/Hg3q9jtFohP39ffzwww9oNBo4OjpCLpfDYDCw1ZSZVf+zyGXGaNa9dmeGhV9GJc1FPmvSnr910ZDX6xUjoyGSZrOJcrlsMyqazUHR8Ja+Jj0IXhu4METchAxl2S9JRz68ttMzXCZmxPKxyWUeMl+nYRkMBraaFSe+PdlFHFsao4/J4M5bZlkXer/o8dSIgQlHatQAuDDu+vPsXFGtVtFoNCTnxWjyz8GgaNG6jA4UFbmJSOhx1lGO3++X1jk610vDT1JFKBR6h07M3Bbp94T9fT6fvPe6rLB5RzhXyY3oxlpo2TVjSCucyzwdKny3241IJCKJRY/HIwalVquhVCqh0Wjg9PQUrVbLtuA1jGZZlkQmehP6fD5sb2/jwYMHNvyZXH16ZZFIBL1eT+7L6/Wi1+tJhETWzLTqV6cx0kr5Y4MSTGOifzMi0dEmAFsEyLoKGg16a2abC6/Xa4uITNaNlk9Vyc0aqejfGuLiD5Uc+7B1u10cHh6KAjPhS028IAydSqXw+PFjcd5arZbM36ck5pjyb90Ml06QaWQ1xMi8VTqdRiaTEYZrPB4XJ1tH8Yw+WCNGHWhZltTDsCCVLDB2VWCe+TboxnpvT5NZ99+NIxYubEYCVCzABeWUHisVjE528bPhcBherxfpdBqpVArhcBh+v196Qx0cHOAPf/gDGo0GXr16hXq9buvBA1x0QHa73YjFYkLb63a76PV6iMViePHiBf7u7/5OaICTyXkX0Z2dHRweHtqYT9qT7vf7kkCjF6eLA6cNumlcTE/yPovpHDhtQJ2Pikaj0iOJFfWswOfG5JxpiExj/bw+Ix+zaaH20u/7+N2W6HnREbR26lh3VCqVxHMeDodoNBoIBoNYX19HOp0W469btTA/sLGxgUQiIZ2Nz87OBMYxqcfAxzkf5vrWf+v2Lq1WC5ZlSVmD+fxskxMKhZDNZqX4lHC+y+WSSnrODRmRLJ/wer3S563f7wvrlfqG98Lao+Fw6JjfnOfYmKL33izfdSPDoidCY+7a62RLFioTJ5hDW2LdskV7vI1GQxrkVatVKRrSiUkduvJa3GSj0Qg+nw/xeByZTAY+3/9v70qb27qS63kAQWJfCYjgKlEeybYcexxPqpJKpfIhX/Kn8yEzqdTUTCbjZbxoobiDxL7vWz4wp9nv6oEkKJICZHSVihQJAu/d+24vp093L4tR6HQ6yGaz8Hq9tlwQD+7S0hI6nQ58Ph98Ph9Go5EtlzRpkScduHkwKhSnQ+fU2gK4jFpJgtDGgxi/yfPX33PtzXV1ilrmZf3uQ/Q+mOiACc2wAwJ7f5VKJfj9fuk+rT1o7fCx5xUhHPYbc9r3j0EmReV0ZDTl3cmRpINMmIqko0AgIOiLdrA1PEmHi3kbtnzRDT913lLrWV3ecJ/rctv3v5VhcblcEiHoFh2kM7rdbjQaDekDxYXgBetoh15VMBiUimz2zBmPLzrl1mo11Go1W5sE8700vMVq1mQyiXA4jEAggFQqhZWVFXg8HjFOTKL5fL53wnw+DObMF36WmdtxSujPkyHRwnu0LEsOydLSEuLxuIwwoOFwuVwIh8OIRCKwrMt24YQx+QzQkJsMPlIuzbVktMn/8ys9R8o8ru9thYpMR9cAbMabkYzZjJVKkt4xnTc6WqxxIUOsVqvBsi7qy9gYlErRpPi/r9yngpz0eRQz/2kaGq23+HptHGjESYxgC5bl5WUZSRAKhaTPWqPRQL1eF0NBXcTPJhrCz6Z+BSD6C7A7F5PWznQEplnn992PWxkWJp5oGCKRiBQEJZNJLC8vo1Qq2Yp5aLF1iwSv1ysWPhKJIJ1OSwUqlXez2UQul0Mul0O1WrUpeqckPRUYcNFn7OnTpwgGg9jd3RWDReMDAF6vF6FQSK6PB4a5FJMRQ6+B16GNh5NxMb+fB2GIzxb329vb8Pv92NzcxNOnTwVeoacVCoUQDodhWRby+TwKhYLAMZzr0ev1UKlUAFxCX0tLS+JFk1lGDLlUKskBpOjDrL+a339MMilKMKM54vN6bpBWgny26fx5PB7bc60ds1KpJI5iPB5HKpWydUSgQnxfw2Iq8YfaQ9MZNPNV+nU64uCaUX/we8JchH5pvFdXVwUNob6o1WpyPuiE0ehz3zR92efzIRwOC9WYIxJ0cetVkaSTcdH3bq6Dk9xmX24Nhem6EypbzYZotVq2dus6KWYaBD0/gn+jD0S3232ns6peBBNm0e0TotGoDNahN0evTx8q/twJVpi0BvpQfyxGBbCvg67WjkQiSCQSCAQCQq4AIF4tcFEsycK6ZrMpB0sbfh1l8hDqLrz9fl+o4nr9GCHp9eb3D+31fkiZFB3r3CbFfJZ1dK/XjOs9HA7FMyZ70ufzCbStz5D+jPdZ+w+5d6aTav5cP6s6YuTvaAyo5/Qe6OasXP9erydQvWa2alaqjqJoTBjhaB2qr2/a9XP6m7vcg1sZFiZm+TAzDCQbArjwRnd2dtDtdlEul5HNZqVdtKbx0uutVCo4OjpCuVyWCvzxeIx8Pi+tJgjB6dBRGyrgktXBg8GKVnoeZIKdnp6i1Wrh8PAQ2WxW4DqdY9EsG7OGZVK08jEoNx6KpaUlJBIJbG1tIRQKIZVKydAuOhJ8QDU0YtZSsJGe1+vFeDyWaXk+nw/b29tYXV3FaHTRkJKMmFqtZsOmnfaAh2tS1Pih5X1xav6tkydpFu5S4dH4ulwuIZ1oOj1zlXrYlPbMgcuJkz6fD4lEAuvr6+h0OnKeeKbZ7uW665+0Lk4/d7rfu95T0zEBLtsWaahPE1T0dWgkg12fu90uqtWqzLQpFouoVCrwer228gZtIPi5ZhTEujvWvJn1erqsg/DZTYyLfs19n5NbGxZ2PKWi58IFg0EMh0P4fD7s7OzA4/FIgU+1WrVFOVzMXq+Hs7MzW9RDJXR2dia1Efy99npN660JAYS52ICPByyfz+Onn35Cs9nE0dERDg8PAUC6ui4tLUluRjO5TIzZxLEps6TcbiM6gtzc3MSnn34qjL1IJIKlpSWhU7pcLuHdMydCSiXhMnLwOWzq+fPnePz4sRiWnZ0d9Ho9vHz5EgcHB1hZWUGlUkG1WhWjoqEHCh0ADTXMUuRyV9dylbLVkYgmS9Aw6HwKx00wJxoKhSRRT0aYjiLH47EYlU6nI7Bls9nEq1evBB6bZPxucu9m1K//z+/vg+Y86XpNY2LmXfg6fe5pzPP5PGKxGNrttm0cN3PHfB9GINpxZfRPyCsYDAosFgwG5RzpglfCxsw96uubdL9XoSt3KbcyLBpu0tRRnf/gnHuv14tGoyEwF6MO3igXhP2JqJT4cyorMznpFKnwqy5KoregvY5OpyOddGu1GiqVihxGetam8dKfcdW6fAyiMVxSwoPBoBhnrjH3kwdFe186wuB70kPmFMNAIIBkMolkMimzWTwej0ALFL63CU1qx4L79bHswXVyHYyh9xC4TPB3Oh0ZVUAnzfTe9VljTgaAsCPH47GtsNXp899HnJT5fYs2Fvq+9DWZrwfsuWM6yRzj3W63JepgJKKfYX1e6PRq/cmv1F/aiJnwHK/RPB/mPTzU+bhVgaRW6EtLSxLubW5u4vPPP0c8Hkc4HMajR4/g8/nw6tUrdDodlEolaSlBw8QFTyQSiEajUg/DjfZ6vUgkEuh2u+/07NHXROhKdwxNp9PCYnK5XDaYhdXFpEGvrKwgnU7j0aNHWFlZwerqKiKRCNrttmxus9lEtVoVxszHKnyAB4MByuUyDg8PUSqVbIo8lUphc3MTbrcbuVwOJycnUkxK+JIkCkJq0WgUfr8fn3/+Of7hH/5BIqBQKIRer4dMJiM9xNi2gk7GVXDkpHqXWZC7yD+Y3/N5B+yQGBl2VER8vpvNJoCLSJTPsNfrxfPnz2VEtH5/5g36/T4ajQYqlYpELVx/GhxNcpkmIWy+7rqf3ZVohWwq+UnQJX9+XVGiGfGwNkXnjFutFs7OztDpdIToMhqNZCw395adP6iHhsOLHnuNRkPy1+Y98RrM/JB5H/oM6e/vUqY2LDoHwa9+vx+BQABbW1v453/+Z2l/z745iUQCnU4HuVwOtVoN+XxeFDYXMBaLSdUqvSrgwktKpVIYDAbyO1L0aJxoVJaXl5FKpbC1tYVgMIinT59ifX0dLpcLjUZDmrmVSiWBbpj38Xq9WF9fx2effQafz4f19XWhWRKaq1aryGQyyOVyt96MWVN8TsK1JUT58uVLmfjICDKZTGJjY0MMy/n5uYyxLZfLGI/H0i+JlEu/349wOIx/+Zd/we9+9ztbYR9ZZJlMRjxtzvjW44nNfMokj3vW1/gmMsmo6MhdM4N8Pp8w7Nxut+Sp2OcKuIB7OfPe7/djY2NDlJRWrCRnlMtlFAoFW7HraDQSIzYcDt/pgnxd9Dgp2nqoHAChQf05kzz9SVCdk5HRbFLqFM5S4XNaKpVweHiIVquFYrGIUqkkf0uomGUclmVJPUy/38fx8THOz88FqtTXyAhHw4ZOiA4/S3+9D6hxKsNiQkPAZYEkrSxxW9Y/uN1uWRy/3y+Rh06w0ygQ19f9pnRBkGauaE9VRyw0AmxHbcJuejgYoxX+PXFnQj/BYBAul0vup9Pp2CCaj1moJNrttkyB1AafORO3241KpYJcLiez6ukhcyqhZVnyehIzyATTniOhSB5anTtxyinw/5RZMyh3cT0m1q8JJlrZaU+XEwkZ4bXbbZmtrhuwTurNZuYT2c7ELEzm2ZzWoJt796H37abPkGlc+DPuic71kimrSUA02KzEJyQPwDYtUusz5on7/b7oM+a0tT7mNdHR4HWY1+qUD7uP9Z/KsJjeiGVZokza7Tby+TzevHmDXq+HeDwuyXb2i+LDzOl0Oqmuwz+TrcIkFRUVQ04mvMh+odJKJBLCXjIPpE5k9vt9LC0tIRqNIhaLSUKa76cpsKbCM1k5N5F5gc/IyXe73ajX6zg/P7cVRQJANpsVvn25XEalUhHDrVl73NdYLIbNzU2JYqgcdd1QrVZDNpuVZoiAfTqlkzyUl3sbmUZxOj0bGnbWo4T16/XXSCSCWCwmDpuOCFm4vL6+jrW1NQQCATx79kyK+Lxer63Ce3l5Gb1ez9Y3izAyG8KyOeJNGlVqT18bFg0dPdT+mQbShPCc9kLrPoplWVLcvbS0hLW1NaTTafj9fqyuriIWi0nHDv2Ml8tlye/WajUAkP9rJuvy8jJWV1eRSqUEfozFYtLu5fz8XFpMmRHYVTVf5v9nAgrTUQJxXEYWh4eH+OWXX1AqlfDkyROZoEZGDw0L8xQswKN1Z8QyGAzkKw8XmUWagkrDQk+Y1ftra2vSv8fEpZkkY2M9etJMKBO6oXHRvH4eMqdEsikf2gt7H9GHnYwV7pHOV52ensrrzY652qAvLy8jmUzis88+EyxZKyz+faFQQCaTQaVSkQOn5Sa4/TyuuelZ6vvUzVVZiKwjOe3hcr6HWf/j8/nkvZ49e4YvvvgCoVAIW1tbiMfjtgJjRo50CHXiuF6vC8OTfcQ0tdy8flNMGN1Ueg+xd8wfabnKuDgpZF1Lwhyw3+/H+vo6Njc3JS0Qi8WwsrKCVqsl3Sjq9ToKhYLMv6lWq7AsC5VKRVh8yWQSfr9f0gCPHj2Cy+VCPB6XsdH5fB6//PILWq2WbcKteZ/UVWYO7CY6bJJMWhstt5p5r99YXzQX0Ofzybxsej662R0ViYnt6bDOZICZiScNibCCm5PY+NUJttJ/y4dEV32bEYq+Dr2Y1xmVeRZ9jzTgjNZ0ItKEqQDYlJReSz290Eye8r3MZL322AHn+oN5kWkcDRP+4jNOKr4msJjrrSuy+Xma4RcKhSTHwjPi1B7EPCd8Frg/PM/m/l9lVPQ96TzHvDhhThEOIXSuJ2H0QCAgUaOmFfM8md2SCTVyTbQ+4pmxLEvQG3ZPMB0NrZt1VDYpQrsvuXV3Yx1ykW7XaDSQz+clPBuPLxK4mUwG+/v7qNfrqFQqGI1GUvfCTp96kfWBIhul3++LJ8u/YVuZr7/+Gp999pkk7Le2tqSZnsaZ+feDwUAoxWz5TxgtGAxKFMPXmNWzmp1keukfi+gHUk8dZEEsFZV2AtxuN+LxuHjNPGxsUFmr1TAajVCtVsWL5v4yUR8Oh7G0tCSOiZkc1p6X9nx1C5NZUVJmFDLp+dCOE9cTuFQuLtdFP7bt7W2BVsxx0AAkytcOnMvlEojM5/MhnU5LqxFCxbw+wlqVSgWHh4cyyZB7Qe9YGxVes3Y4zPU3cwEmrMyvD7V3ThGKKU7n2jT4LpcLgUBAopTd3V188803gpywNdVwOJQGuvo5ZVRC8hKNEY0Tf0+Yki1lLMtCMpnEzs4OGo0GCoWCtEtinzJNJGDdoW7ge99y6zoWin4warUa9vf3EQwGkcvlkMlkhKbLynuGZ1TWVB5mKEfIq9vtSt8xssr6/T7C4bB4Xy9evMC///u/i6cQCARgWZZsJEP3QqEglbHk4zPZ6ff7EYvFxFgxUcZr1Yf4tgrsKuUyi6IVuTYyPFA0ysSFl5eX8fjxYymM5VqxaLVSqaDb7QqpA4DUE9F5iMfj0hKIBoUUy/HY3oTSDMlnxaBQJiVLnV7H1+iELw0LYa6NjQ0p2qWC0CMpOBCPip8OXyqVQiqVQjAYxMbGBlZXV21JfuDSY+71ejg/P8f333+PRqOB09NTlEoltNttNJtNeV/TgPAeJhVMmrlO3VLGsixHhXdf+2kiLteJvh8TVWHX9Gg0ii+++AKff/65PN9kahEyNFvvkyjElABrxdjUlWxbMst4vUtLS9jc3MTGxoaQaTj5lk18tWHpdrsoFouO9Ya3kZv87Z1MkKTQEHBBeTg4CY1Fj04Ynblx+j25ODqqYVjP+StMupNtBFxi/zyImqqsP5cetx4C5nQATOOi7+GmBmPWlN9NhNfMBxO49FJ1hwOy6pgLYLUwcDlhkgqMzwI9YRbHci8IA+gISReSUWYVRtHP8XXGxckTNv9xpIT2RvW+8O91Gx2uHf+eZ4PGy1SwfF9dQNztdm2sMCelpGE0s7hQw5n6e91DUK8BZRb3VAvvh/tCFizXmPvGvddD70wGK2sBGd3zHyF6/V78e+6j3ktzffXrzagYuH6N3+dsvfcESQ2D6P5Dg8EAhUIBAIRHrw+AZVnS1Vi3XvF6vQKP9Ho9oUqyniSVSsHtduO3v/0tPv30U4TDYfz93/+9sGF0EpJjPllDk8/n0Wq1UC6XpeAvHo/bJk46iW6sSOVmLvi8RSPvKywiDQQCePz4MXZ3d2XY0draGlwuF9rttow6oGLS8M5oNEKlUsHe3p4U0NbrdVlnMgY5bAl4dy6GNvqzJG63G5FIRDB1Glin62QOhX9HiryOBGm4vV6vRHM0AvV6XbxTTWjhvPZEIoG1tTWpK6OC05E4z1y73UYul0OxWJRiSr4/nTQaEH2dbK3DcQcm/EVFqXNBbCPvhACYMOJdipPBn/QZJkTJPAcJPYwkOaKD76WRnEajgf39fYnYV1dXEY/HhWzBLtJk6MXjcalHikQi4igzUuz3+9IxpNlsCssMgLTZ0ueC+stkwzmth9N9T5Kr9uVWBZLaW+eDwuiE/1qtlvR6YohOGIXvk0wmJepgtT4LEdnRuNVqSV7F6/ViZ2cHfr8f33zzDf7t3/5NevKw5kR7XyzwIjXv/PxcaNEsNOLfmZGS/p4GzqTSTrPQ8ybXeZJkrAQCAXz55Zf413/9V4kYCTNy9gShyHq9LoqIDUhzuRxev34ta0wGIQvGdATMz9esnlk2LLFYTFg82vsz8X0dLdNB0zUMpLTSo9Uz6avVKnK5nJwteqt01Px+P5LJJNbX1+XvCclomJfnrNVq4fz8HPl8Ho1GA8ViEY1Gw1bPwvvjP+YCyPjk/fF6mG+jAaLzSWPW6XQebP9Mz/0miIOOInWUTvrv48eP8ejRI+kHphmVo9EI5XIZe3t7Ug+2traMORc5AAAgAElEQVSGpaUlbG1t4cmTJzJyhPlFv99vK8Ng9EHngYaFNH/ukaYY62smpK3zO/repkFdbmrw3wsK4yaZBY/Ly8vodrtiXXX1tLaWuuhRt4bRODMP3Wg0gs/nk2JFUoM100hvJuEWhvU8iCQWsCMor0NDA6ZoaGHWFNiHEk0RZ16Le0FDQM9UHzQN12jYRe8LHQN9mCft0Szvh4nH81CbHrO+N32vZpGd7kDM99INP/n3FN0zT+dAtBHiz+j88Z+uj9B5Re0Y8pr05FfuuX6NeS98RjQpZNL68V4/hJhGiOuvSyPMujuzxo0GmdGgLgQnQYhQml5DnU7QzhMNi94rrZ+0jtJG6SES9lpuRTcGLjd9ZWVFEq6rq6vCXGEozSJE3rR++MiCIKyytbVla3PPoqFkMonxeIxoNIpkMgmfz4cvvvhC/l4npKrVKorFIjqdDvb29vD69Wvpy0MSQKvVslXas5gpEAgInMf746HT8NxNjMysYv+3Ea6FpmZzn2hQ+BDrJGW5XJbxBIVCQeBHNp5st9t4/fo13rx5I9AOE848dIQDSFvnXgOXuYXrGD4fQsgEIgxEhqFuSEhlREXD9aMiINaunS3duZt/S1iJxppRBZVYq9VCJpOREd1MBvP3w+FQaoiazSZKpZIYPX4GI3UaFzp4dCw4iz0cDtvgLd4rlSU/VzPfaPh0J4z7EhpjbfRN0Q4n9Qvr5BhdkFkXiUTQaDQkH0gdR+Xf6/Wktq/dbgvpSE9m1aUNuk7PjH7K5TLy+byttRSd5kmsyEkGZVLh8VWQPh0X/p6wq5Pcuo6F//x+v7AiVldX8fjxY2FWHR0dCfbHkJuHgsl3Hp5kMol0Oi0dVD0ej8AIDK+3t7eRTqcFwiL7SyeFM5kM/vrXv6Jer+Pt27c4ODiwWXc+WDQsbJYZi8WECWZWB3e7XRtLyYm/P2kjZkXRvY/og0bDwroh7hcPiI5Qc7kc/va3v6HdbqNUKqFcLsOyLORyOcTjcXQ6Hbx69Qo//fSTbdro0tKSVIiTMRONRgW/J16sPUR+PytCw+r3+8XxorJh3zsaE6/XK2dGU6/pxdIAcO1pqJin1PknTngELqmnHA9BZy4UCknksLy8jMFggIODA2QyGWFh6j58ug0MjUQymUQkEpH3oWKNRCICZ+ou5RQzuayjF63s7tO48HmZhFLo+6TTFI1GsbGxYevuQUPNbtGcCOl2u1Eul8XB3d/flzKMdDotzC1W7GuSEK/PLOLs9/vIZrP45ZdfUC6XkclkpIdbu92WddZRsSZHcP/02ppEGMok48I14/N1p4aFH6BhMOZJdGinK9UZDpMqx4eJ0QoPCg8PN5TwAa2xfm8uChdQY4+lUkmaTpbLZZsnxOthKMrPZlhrejE0RGZB4HXRitP3+j1nXSY9XBqa4lqRtQdAlAnxf+L2pAwDl540E8/07LTQUeDrySrTHq6GM2dN6K1TUer1Ms/FpCJQDUHxrDGiJgbPM+TE3ON1cFiULtTTBZccWaFzXDQozJfxHnhGGbHwLGmPXUeVFKecnS6AZgTzoUVfiwn3kbnFaJ1Gn/qHjrDL5ZKqeiIdupEqDTVwORXVZNyZThLPlN4ns38bYKfe81kyv06SmzjKNz1vUzeh1MU6LpcLW1tb+PrrryUhReWs6ZE6IUmjsbS0hFQqhadPnwo7gsqdCXkWa+l6FLZAIGZJyIGMi7dv3+Lo6AjtdhuFQgGFQgEejwdPnz4VD5iKamVlBbu7u0in0xLOm9Q8HkxNQLjpWvHv51GcknT0rhnVUSH9/PPPMsSNRajdbhfZbFa8YBoXl8slrJd+v4/z8/N3ek2xpxJhpEePHkl793A4LPvAAzZr0QoAOQMul0siLAoVPMcKkDVJBcPojZ6ox+PB+vo6otEoEokEVldX5UycnZ0hFAqJkc7n89KksNFoSH0Qn1ud92DCGLiY4NputzEej6V+Qud8tBHj+/D3JG2QLEMPnv3jdP6U0DIhT8BeJf4Q54Xn28x5ma/RcGEwGBQYMRaLYX19XaJFvhfZWWSjVqtVaeNiUulZBMx9j0QiAo3ReQAuG7H2+30Ui8WJ9O/rWG16jc1aPKe/ncQcu6kTMJVhIVNFK+ft7W387ne/w5MnT9BqtZDL5dBqtWzRhaY+6mTXo0eP8MknnyAajQrVjsqLhoWMFbb7qFQqGA6HeP36Nfb29oTldXx8LGF8tVqVjSRcF41G8fz5c/E2CHutrq5KYRKNpt4M0vVoWG5yAK6y7PNmaHROjR4s95WJ9l9++QXffvstBoMBMpkMzs7OhCihIS6+D4u+xuOxHDqTQswD6vV6Bc/2eDyIRqPiHfKQXJcE/hCi8Xl6rTo3omuszKQrhVEdYeRkMolUKmXzeGl0W60W8vm85KKWlpakeE5H7oTjyEpiHyqd34rFYohGo/B4PAiHwwLZkCzD7gnNZlMYaGTwnZycoFgsSpkAFSchOKIKWnGZiu6+IWTT6dPwPn+v4TBdn8XhdKy2Z/dvGtWjoyOBM0ulkg0tIfRJ3VkqlVAqlTAajQT1YTTIPofUO/1+H/l8XhwFGpdJxar6K9eY96oj6esimEnrcp3cCgozmTqaeaItIl9rvp4/I4vMhKFMmID/yCKiR0svK5/PC+WyXq9Llba2/LrFCBPOxDedWrSYln5Scdi0Ms95F42x6iK9druNYrEoDz8PlMmb59/3ej2bR6YfVr6e8AIdBN2MkYeO9S2zZlS06GeKz5DODekKes0S4+t1Qp+/Y7RtWRdtjUKhEJaWltBut+W51pCKPjfMNbrdbvkZIwfu7crKihBZIpGIjKOmA8Y9456QCk1YTBs+01PW963P0yyeCa73VYqUDoKGgEkQYlKdUBqF62F2TdDjt82IwtSn2gGeJGbU4QSX3ZdMZVhYAAXAlmA/ODiQ5FW5XEav15MwmH9HWpxeaIbjLIzUOLTO4SwvL2M8HuPs7AwnJydot9s4OjrC27dvxTNoNBoCWXHB2PiQIT+LIbVByeVy6PV6EvpT+fH66OExcXwTyMVpw2ZZ+V0l2nnQVdv1el3us1KpiEfMduqmodYPOZ0KAJIf0EqWr+H+E4YAIGSRVquFV69eSTGehntmQUlRWQCX16MZYU6KQ6+DJjJoana325XIh7Ain9NEIoFIJCJYP/NXHHCnh3EBsBU1kyq+srKCnZ0d7OzsCAMqEAiIQWOu1FxvOhj8XCrNcrmMpaUl9Ho9+Hw+DIdDW+t9euBmnsCEo+9SboI2aAPPyIE6htHo8vKyRGWE6UnuoRHXnSPYbYB1Qfqc8ExwL5i/ogwGA4Eoy+WyIEC6RQyvVd+nkzG5LeTIv3NK+Jsy9TwWDruyLEuojMfHx7K4tNLMjTDs14NseMDIUiG2aGJ6VGrEZiuVCl69eoVms4nDw0Ps7+8L395sUsjNJwwXCoWkjTXpsL1eD9lsFvl8XjaNMA8hH81Bp3G86VrxPpxC03kQDQdoxeJ2u4WWOhwOpUKb+3odFZueLWCHQbiXfA2/ktap6z0I7+RyOQCXDSmB2TAs4/FYCA0UGkCdn9BRPmAfbsacC88Mh0ORZk9FxN5QpOO3222cnJxIrpHFiN1u1+aB6wQ+mXd+vx/Pnz/HxsaGjbk5iYTCfSM7qVQqyYRYQtfABRxHZ44wDv9GPzcPKfqMms+MNjAAxBAyqhiPx2JY2NiWekhHMcx3cb8Hg4GMZteOqiZnkFikGXmafk6qMuFoc290/sg0KO+zRtO8z63oxvofFS87nzKxSi8EsIdvJsTFizYvXBfRcZN0J1x6YPScrlL4hAOotPg3TCqTrcQZEzzMGnu+KRQ2b8bjOtHem1bs9Fq1opiGhq0LAul56edBC/eP3jIV1CwYkOvEvEZeN+/F6TVOkQwVkZMi1o4ejYDOg2lCiqaM6/5UzIGQQs6/1yw8p/XW0KU+o7rIUu+fzi1R8c7KPprPrtZDdER13oN7oseC6LNiEploYHQVPPfFTAvouiV9VnTaYZIhdnqe7muNJsmtWrqMRiNb8SOLojSW2+l0bLRG4sC6wRqpjHy4iN1qSK1QKGB/fx+NRgMHBwc4PT2VdgY0EPqgag+43W7LRh4fH+O7774Tzjw3t1gsolqtSmKtWq1Kz6twOCwJNtJldb8zvcA3SdjPi9HR3pouaNXVxlQeZg+pm7z38vKysLzYrbfX60luRntxg8EA2Wz2ncrmTqcjxZcaDpgVJUUxo3CdbyEspg2t/hs+z2QEHRwcCKzFSI6GQedeWMDIehUmhrvdrsAsfr8fT548wYsXLxAIBKQlicfjQTweRygUkmhVV/Pr3A2vLZvN4vT0FOVyGX/9618Fon79+rXMdKfCNfMsuinsQ+2dk+LVa064iyQH6hiiIKxnYwTC55+UZEYffr8fw+EQkUhE+rQFAgEbekO05tGjR1Kjxxwwnw1GroSPtSHXEZR5b5O+v+2acc9uIrdqQjkcDgUaAiC9jJi0oneiQzsuIF/LBTQNCwDUajWcnZ2h1Wrh6OhI2F/Hx8c4Pj6WNiAaw9SKnQtN2l+v18Pbt29tDzeVEWstiP+yqK1SqSCdTqNQKKBcLgte7dSnygybnTZUv3aeRCsXhuFcQ+2VTpMQJMSi+2Mxj1Wr1WyJSVJqScjgoSaNkw6MSVmeJZmEe/Msac/UfHZ4JkqlEo6Pj1EqlYQtFwqFbE1Ueb507tLtdst8kG63K/lGn8+Hx48f44svvoDX60U0GrUVTuqCSPOZ1Q5cv9/H6ekp/vSnP4lhYcEr2ZxOchOI5iH3UxtMALboQ89R8Xg8qNfrMgFXR4LRaFS6RRDOAoBwOIxYLCavZ+RDdiSnUK6urtraYulr43OioVNdjHzfUQrlpg7krQyLTm5zEZhk1El3v98vdSn0dHUlMaEm4s46Mair3TXrQlPszAIy3rheBH6l4qJSZNRCzxuA5FIASKsEPdzIKfQ0jcrHKhr+IlNJs32meR8qUj5DGvPXXjt/zgiYUSj3w6mp3jzJpOvWkQ2jeELOLpdLGEcej8eWr+S5AyCkFbbEWVtbQ6/XE6iL47gZ9ehph/qZdlIqjDDpuHHQFJ00wnU6+px2De5TJsF62jHUCpyRss5naJYr6eCAve8gX6thLTNZb3ZX0H3HdK4EuDwH1ElOSn5WzsLUBZKEvp48eSL9tZjg05XUwWAQsVjM1nSNi8vv3W43isUiWq2WRDfj8VjqUprNJiqVijygZH1pbJbWXBsRM2nFA1AqlaSwj+EovapOp4Pz83N0u11JnA0GF91aS6WSjb2iD56TN8evV/1+lsXJax6NRrK3lmXZDK4JCV51j5ZlibetD1Kv10M4HEahULBBRFSq/BydzzEn8s2amM/CVZ65rivQxpb3WqlUsL+/b5s42Gg0sLKyglgsZotYLMtCOBzG2toaRqMR/u7v/k5YexreTKVSSCQSUjum857meRqNRlL13el0cHx8jP39fVSrVfz88894+/Ytms0mTk5OpCD0ffIn9x3dm+iC02fRedH0ajrPHKzFyIQGXReR8vnV5AdtkNgfkb0S2Wmd/wjL0QE+OzvD//zP/0gPPo0WPMTzP83nTG1YXK6LMamffPIJksmkQFoej0eYQt1uF9FoFOvr66KkdRsLTSUtFou23AsAZLNZnJ2d2arrNXylE8XmDetDygeClp69qnTfMHpWjGTq9brAdvx/qVRCq9WSa9BRmT6I2rvRa+YUTc2D6OQxvVQWt2ms3IT7rhIywligSm+52+2Kg6KrxPm5vA7dAVmTNkycfBZkEiTq9Dv93PKZoTMFQCankgW2urqKTqeDaDSKdDot6AEnEuqeTuY+6j5gmjCh6a28Fq5xv99HoVBAPp9HuVzGH/7wB3z33Xeo1+vIZDJS6HeXtO/72serjIoJW2qnVa8Xhb3E+F5mAl5H4KPRSBwpFmenUinpWcj8jNYXuqj14OAAP/74I2q1Go6Pj98ZWvgQci+GBXgX+mEilhX5THgxktH1IbwwrQS4MCzq0kqbB4PK/ybe6aTQUHsCuk+PVvY0Wjq5T5iBPYEomt026TM1/jrp+uZBNKZurj/vX6/DVTCDZdk7xRJj7vV6iMfj0nFBRyM8XPrzJ0Fws76+Tp64PhNOa2gaBDIZ3W63zfEC3mVgmkqU0SDwLuFEv4b7zWieNSksgK1UKuJw6RqZWSVRTCvcD1135KTE9Xlg5McaP5MFxtcwfeAEfTk9G7ouRjdh/VBy5zkWy7Jsg4Gq1Sqi0Si++uorJBIJ1Go1HB4eotFoSD8deqCETdgCQdNH+d78Fw6Hsbm5iXa7jcPDQ2QyGdvgMO3ZXaXM+BqXyyWDqXRLmX6/j5OTE6mFAOzGhQ9DIpEQ6IUJY74vITMmlQHYaLHMJdH7+BB8/duIVkjMqxCmMbFdKjBtBEyhovN6vXjy5Am++eYbBINBJBIJafWxs7OD3d1dtNttZLNZ6d5aKBRsQ+M02cMpKphl0QZWi74frZz5j8+Yy+XC6empNH9dWVnB06dPAUCcO5OWqj+Dzyz/TyEawHqxcrmMbreLo6MjaZeUy+VkcN7e3h5OT0+lds2sFp9lMXWGGe06wWL6/AL2qJI/C4fDePr0qRAqvF4vAKBQKEhPPLaGYZTi9/sn5lXIfqzVaoKcsGXVQw5Hu41MHbFQsbA9tMfjkZ5D9XpdRqeyXbjH40Gv1xN6ssvlQr1en8gucLlc8Pv9SKfT6Ha7OD8/l0XllDQnWOEqA8P35FwPtnzndRWLRXkPk7c+Hl/MgfH5fOh2u8jn86jX6/L5ZI2YBoNKmGGxplaye8GsihmOa2qsTkICF/epIUEANpYK34eRotfrRTqdxosXLyQPxwK/WCyGra0tVKtV/Pjjj9Iri/tEmScldpVoBUaI1TSY/Mo9sCwLhUIBzWZTnKVKpSJ7YtaJmYbMKRLSzz2Lhn/55RdUq1V8//33+Nvf/mYbHa0ZgfO6Bze5ZnOtNERLo63LD0KhEHZ3dxGNRgXmBS5QHXYb4PwnPW7adAL0vnS7XTEsjBLZm+yh132anNfUEQsXQVdh83sqbQBiidlOmwZJY8dUSrqNvsYigcuWFjoZaD7MV0UrNH7k8rPNi8/nQ7vdlusknY9/RyVID4Y0QIb9vDYqTH3IdOW0U3g7D2JCMwBs3q7+3sSone5X59cIBeg5I8PhUA4jjQxb7hcKBdt1XWVU5lHJUa66N/1/TWRhtTvZX4wWzfzJdZ/HlkxsAVMoFEShcVQ4iS7MpcxD5P2+QiVPOMxkagGXEbs25jrHRV3C7532w3SO+bl07LjedDBm/TmfursxW9rH43FEIhFhfrndF1P/1tfXRUnrhL0eRMMiL0Y1DBt1R08qcCp33SpBL665wNpDY9PJUCiEFy9e4B//8R+l7xgAUVwsxiT1mCyNnZ0d20NAL5GQAznrg8EApVJJRuwy0cqH46atTmZNTKiAuTMaB7YNb7VaaDabcq+mQbIsSxLLrKNglTefHcu64PWzJXw4HMYXX3whA5L29vZscM11UeqsihnJUeh0TTIs+nc8S4PBAC9fvoTP55NnnH3votGoDOLSCk+/vybDHBwc4KeffkK1WsWrV6+wv78vLK9cLifRDB2oeTcq17H0zO9NCIzfE+6mTqDw58AFRLa+vo5eryfFjiQVOeVKNFGJJQ/swae7Gd+ELHMfchOSzNSGhQ9xOByWufMsoGM1PaMOjYW3221ZEDZuAyCTIFl8R9YWiQBsr65rTyYNeNL4KNlHxPEfP36Mr776SuCVbreLZrOJs7MzJJNJm4Fhe/bNzU2JVDwej3RT5gPCBHS/3xe6NZOqnEnBAr5JhnAWRSs/fb16rkY4HJb+XcViUXJSmsOv34fRCHvD0UDz2eGzFQwGAUDyYeVyGd9++y0AO/VVX+e8i+mpXheJaViMU1pZ0R0IBBCPx/H48WM5Oxpm0c8hzxJzJr///e9Rq9Xw8uVLvH37VhheJnFi3oXP5k0Vs2lcdB87PtuEvPl6Ri18rmOxmLC7WItFfWZG+TxL1B/NZlMcbTNieUjjQhTmJjI1FKb7CtErMlkNmg3FMFL/0+/HxdcLpC22Lo7UeQynJJv5+WSscca07n2kr0cX7OkWGeZ1ElbTOQVeB7vDkjoLQPoJcUO4TuxNNk+iDwuj03g8LutAxgqrigHntjeEFExjqyFH4LKFu15zE4eed3F6hqcVJvUBoF6vy/iIeDyORCLxzmAuM2LRXQxYUc7IWzMjeb2/RtF7pHUGc6iMwJ2q5XVkqKEtpgbYI28SQ0+vOdMNbCfj9Pr7lps+s1MZFo/Hg7W1NWxvb+Of/umfsLGxgVgsZutroyMG4FIp8wFnlSlrVxgRAJDaEnbLZe1JtVp9px27ebMUKvDl5WWsr6/jN7/5DcLhMFKplMAuZFQw90Na4PLyshR9ut0XHXyZ92GY6/P5EIlEhLHBPM3jx48Ri8XQbDZxfHyMSqWCVquFw8NDVKtVBAIBrK2tIRgM4j/+4z+mWfYHF9NAa++IUcvOzg6+/PJLeL1enJ2d4fT0FJ1OBz///LMjOUMnlemFmdRXQq2AvVkj19ztds+lUb5KrnqWb/J3zIk0m018//33Er3QwDCCiUajtjM6Hl8MWSsWi2g0Gtjb28PLly9ltPdVPajmXa6Cz82faxiRzyph4KWlJezu7uLFixcIh8PY3t4Wg6Fb2TQaDWHC6o4EpA4PBgNbYaWJbmgYOp1Oy3A8PYpklpp5AlMaFlb8ptNpPHv2DGtra2IYNL4I2MMm3faA3qem/TJPoavh6/W6bAiHd+kE+aQQUHu5qVQKGxsbiEQiwsQALgvv9LWRCqu/0pDp3j1sqEnYi4Zlc3MTT548kfG7fr9fPMB+v494PI7t7W1Eo1H84Q9/mH6nHlhMZphuu7KysoJkMomvvvpKJjz6/X40Gg1Uq1W8fv36nR5R2rD0+30xEIz+dOQIXMIBzOeEQiExNB+j3EYpMPdIaLjT6SCTyUilNyez8hkm7KiZnblcDqVSCaenpzg6OpJzNsu91+5SrjIqNCbawBBiZyuWVCqF3d1dmYXjdrttXSEAyLlg/pG6i1AXHVvdZFLrOX4+xyKvrKygWq3ayi80q/C+5SafMXWOhb2GNKR0VWikra5OdumuqRoaYT4mn8+jVqtJruK6mgUTQ2ZEwU6wuVwO8XgclmUJ04WKn3kQJxohDY3f7xe8lIm64XAoLW44rGw0Ggk7x7IsrK6uAoAoxg9BE3xf4R6zfQiHP+lok63E6emawn2hA8HxuU65GeDqyvSF2IVrRYVmWRYajYbkvhKJhIwaZnW3CYXR652XOqv7EieGI/WWbppKHcbR68wT8/Ua6tUkCQ2Fkbyima8aruTsFjrZLIx06sF2V0blJu9z58n7lZUVPHv2DLu7u9Kh2DQs+sOcsFkmxi3LEkWs5630+328efMG//mf/4lqtYq3b99KsZZmROgb1J/B9xuPx9jb20OtVoPf70cmk8Ff/vIXqTthIi2TyeD09PRiMf4/iorFYlhdXRUyQiqVQjwel+l94XDY5s2EQiGsr68jHA4Lk41Mjs3NTTFkp6enyGazEzu+zqJoZ2BjYwNffvmlFIKxQ3G328Xp6Smq1Sqy2ew7HRL0IfF4PDKgKxgMSpKSLDvCART+7TQTPOdB3kcJaJxbv49WXD/++CP6/b7AYl9//TVCoRAePXqERCJhg5wJOz9076lZFRoHRtA6SiGs7/f7ZUDa9vY2YrEYgEsnSPcjJIzP7gWVSgWj0QgnJycIBoOCAtBhZZ3dYDDA69evcXh4iG63K0MJSQCgaIjzNsxTp2jN6T20zgOublE1lWFZXl7G1tYWUqmUUG3NpBPF6eFkuMcZHKxxoRWm93RycoI//vGPyGazQrdzYqWYiWHeLL3bXC4nvcjevn0rMya4OMPhEPV6XWanM4rqdrv49NNP5YHi9Ek9R4Ejc5kn4oM2GAzg9XrlwYrH48K62d/fl6mX8yCEM+mlJZNJ7OzsIJFIYGNjQ7xfzs3J5/OoVCqOeC8NSLvdRqPRkKp67gUL/JjMJERKw8KD+bEYlvcVp4OvPeNMJoNyuSxMS93tOBQKAYAwI1mf8r6NIz8GMaMUojI844QUSQbiSIJoNColC1xHNmrVRpsjQZhXoXOuCQG6tdH+/r70BaNR0nOoeM1mnc009zvt+tyEGTaVYXG73UKxvSntzEnY7VgzhFhhyhYG3IzbVFlraID/Zw8z/cDowiNzQwgTMEFPiqBOampWm+5tprnpPNhkjZAMMA/CA6ZD/ng8jtXVVakY1rRVvTYme0TDnZ1ORw6InlbInJvOpVApsgtvtVr9UMsx02Kut3bWGJ3TcWPE3Gq1UKlUJIf5azUo5nPqBIfxjLPYmvV7LLrWA8G49sxXkazC3KIeK8D8is7hMPIYDAayN2Rd0vnitd1XEbaTgZrmc24VsWiKMUUnmpwujsqGLB96/TQcZ2dn+POf/4xyuYxXr16hXC4LY+ImRkV/jsYptdFgjy9NF6Z3QQNBxd9oNJDP59FoNABcDFqiger3+/D7/TIYidj18vIyRqORbUolm1cOh0OkUilUq1W8efNmmmV/MHFKZDJiI0Hhyy+/FCiTiXiOF+CemXvB79nO5uDgAJZ1URBZrVbx5MkTMR5cP92s78mTJ/jtb3+LSqUirUXmqS7oQ4ieYUMCzHg8luT+aDTCDz/8IEyy4+PjD9rY8CFFlwqYonN5zPvxjLO31+bmprBNP/vsM2HGkqnF/nZHR0dS7N1sNjEYDGQkSK/Xk47uLJrk59JQjcdjmXPj1B+PHUOAy+7JN3XCrzMQk/KdmiF7lUwdsWh6sXmBprXXv9derJ54x8XIZrP4+eefkc/ncXh4KO0lbsuW0V8BCCOD90H2kWZ98Josy5IIioWdnOWiZ1fTUCtiAgMAABJDSURBVPL9CO1x8cfjsVT6N5tNKSidB2YTHywObAuHw0gmk1hbW5OmkZwWOhgM0Gw2pf5h0oHlHpydnaHX60kUp5OfpKNzHZeWlpBMJrG7u4t8Po9Xr17ZmDULeVeogFihTy/Z5XKhXC7L/p2cnODVq1dCMf41wIwaNgKcdYX5M8uyhGLM7hCfffYZ4vE4UqmUjNnQjLBqtYpisShoB0lI2WwWmUzmHYoxo0uNAPAaqDcZ1fO6aPg0QkMm2nVrcNO10o76TWEwYErDoiElwhpmQkdvCo0GF5qwEq23NjJ67sB9UR31IukWDcBlbkZDCBxANhqNhF3GCtt2u41kMim90bS3oBlujLo4m30eYDCNM5PAQHyZ10+PmPs5iVyh//Eg6LUmBq0bWwKXB4qenObqz8Mafkgx14fP89LSksxMYvTo1LGX8msw3FclqjVEpaffMtFOOFjrEOYRO52OEE40lK5hML3W+vk227bofdF7ZRa9Uo/qyNMJznL6vxmVOL23E6IxSaYyLL1eD6enp4jFYrahNGYVKGCfvnZ2dob/+q//QjabtWHp6XRa/s9wkfmV+0oiaoXF/2uKMZNup6enaDabYkxZ7UrIi630nz9/LlARlSNxbbZ/r1aryOVyaDab19KzP6ToB4iRWCgUwsbGhq2FC3DRZ21vbw+lUglHR0col8u2Bp3A5QNKKIFhv85vEXJst9sysIp1RjrhWalUpKsro8EFFPaumIrIsizJpZAIk8/nMRwOkcvlbDlGQtPaafzY1ljfj+mRU7h2hMbZwSMSiUgftlgshkgkYisO7/f7Mggtm80im82i0+nIFFp2OGCXdp4FwN6xW18HE/y8Rjqnuuhcdya5qlmvKZPSFiQrOJ2zm+ZZpjIs/X4fZ2dncLlcUsk+KXmkvcxCoYDvvvsOJycnCIfD0mrC4/EgnU7LpugZ8/f5MGsrrPMwNIbj8RilUkn6grFdOB80j8eD9fV1pNNpRKNRMT7cWCayaaDOzs6Ecvg+pIeHEP1wsW6JEB4bUAJAu93GwcEBisUi8vk8Wq2WLScG2Fv2aMiQUAS9Zuax2INN/56QW7PZlPfn+/4aoJtpxMmoABfsr3q9Ls8k84X5fF7OmnYQb5rX/BhkknEBLrt4kAVGKIwtotjrjms+GAzECapWq6hUKmg0GiiXyyiVShI5UldMig61QwbAZnxoWJjXpWPMPI3H43mn/ZX5GaZBcVoTXdSunfybPhNTGZbhcIhyuYxAICAV5iySM3MubDXR6XSQzWaF1steN5ZlCY/e6/VOLIS8DzET/DqKYZRF5aa9AR3ptNttlMtlZDIZ9Pt9rK6uiifOUJgVt5yyR6x7HhSi9orYKBSAQHr0ysrlMmq1mi35qBWbhhRIISb1lZ2nI5EIgsGgcPppNMhiajabAifo7rq/BsV3WyEqQHo/1xa4dKx00S4du/F4LErqY81jOSnY6yAjTeVmKxYm2XVzSr/fj263C6/XC6/Xi8FgYFt3vrfpYGoDp/vi6fEH/AzLssTQAbAVG+siZc0gc4rI+L3eZzOVYZJk7sWwdDodvHz5EsViUZQpKahs60ILfnZ2hj/96U/I5XI4OTnB69evpdCR/aaYu2CdCb0qraDu68HmJuq6FwCSNDMhG1bSk0GWz+fx5z//GUdHR4jH4zg5OcHm5iYGg4EowH6/L7Ms6vU6jo+PUSwWZ75AUhuBVCqFx//fBw0A3r59CwD44x//iP/+7/9GsViUkN/MrzBCoTFhgn5nZwfJZBI+nw+PHz/Gzs6O9EEKBAIYj8diiOv1Ok5OTqQAs1qtPpgDMo9CRcHxFl6vF7u7u1hfX5e5QWxaGYvF4Ha70ev18PLlS7RaLTlzt62LmAcx7+cm98dobzQaCbOLhdS6A/r29jaSySTG44tebBwQmMvlJEohhOWU67UsS/I3GpIGLpP1S0tLgiIQ7SEjzcz3aAq0yfrT9GZeCx0K/Xoz93kTuRUU1ul0sLKygmKxKFW8bPFBHD2fz+Pbb7/FyckJisUiMpkMut0ulpeXEY/HJUnF4sRCoSDe/EPRHrUVtizL1pnXZIloQ8RF39/fx+npKSKRCAaDgTw8LDYDLh+Yer2ObDYrIfGsCw1rMBhEMplEMpkUqnC328WbN2/w/fffS78iPY7YjFL4lfPA2RQ0EAhga2sLW1tbUhOwsrIixpyTQ1mpT07/r72I7zqh8orH4zI5lUak3W7LMxkMBuH3+yU3wBzLLOcB70Ju8+yQiANcdpEmZTgWi4mSjkQi8Pv9SCaTUohKgo8ua9C6BLC34ifFXyt8DcuR+sz3J1rAYW0cFc1zOMkJ05CbNh68rkkG+CbrN5VhGQwGqFQqMntE94citkflzBwFed0aL6fXubKyYutt5OSJPpTH5OSdXfW5NIyWZQnsp9tmA5edBvgg6dkWsy46X8QCL+LHLGLVQ9eAd+nmOn+lw2ldo6I7XPPg0CvjQ09I8tfSGPF9hF6u1+uVsc+JRALpdFomoLIdCOndnU5HRmDwdxrP/9jkqnsy88X09jmtE4Ath0F4jOeazyudJ06qTafTkj7Q5QY0GrqlC+cV6chB53fdbjei0agYFp5D6mGOXWeHdRKSiJRoHatzKCb05XTW7g0K++mnn9BqtaQS2rIsBINBCbGr1Sp6vZ4kdonBk5JKy68LC9kOna3UqYweOgy/LkTWmzEej22tGn766SfBPROJhLR74YwXehLMR8yy8CFl/c75+bkMRTs8PBRYj9XEJgarDYnT9Eyv1yseVzQalW4OwWAQXq8Xw+FQ1pJeInMss752H1Lo1XJkxLNnzxAOh/HVV1/hxYsXUlPFf3QESY0l9Li/v4/z83PbFNSPyaAT5jPZTlro6TMS52DC5eVlRCIRKZTmmpF4Qodpc3MTkUgEvV4Pr1+/RiwWE8PEz9Tj3VdXVyVPS70BQAyCZV1076Be4SRWAEL173Q62Nvbw8nJCTqdDk5PT4VYk8lkpEeZ7gl3FYts0p7fS8SSy+Xg9/vRbDYRCoWk2eJ4fFElen5+jlarhVwuh2q1KolsJmKZJKQ3TywRuKTcmTDSQz3UN/kcM7kF2OsEOF4ZsBcZMmJhLmKWhQYBgEQqw+EQ5+fn+OGHH9BoNCQadYowKdrj1ZENZ0sEAgHBk3WyWXtnZKboDrwLcRYNbUQiESSTScRiMWxtbUmOha8Zj8cyx77T6WBzcxOHh4fwer0olUpCSdbP8sdgXHREMul+9DNMdqtlXXRF93g8osh57nmm2Z6IpKZQKCROsu55qCvsaUS2traEbq8T9tSfLpdLoEv2e/N6vQBgy7H4fD5Eo1HUajW5B9aa6YJm3uOkM/W+ez2VYQEguYhqtQqXyyU3TWPDOhSG3Oz3xb/V3gLnbZgbPW8eEu+HoTFZIwCkISVrMOZN2IGA+TA+xDfJc+hci26h02w2kcvl0Gg04PP5MB6PZeYKW2Pk83nk83kUCgVb9915ezYeUvRzqKmt5l7pnCG7RTARvbKyglqthlqtZmtSyfNqwibzJlfBPPo1/KqT2STzEJkBIOOftVHXUBdhsa2tLWHd8f31LKt4PI5gMGjLwZBEQWSIhoufQb2pvyf06fV6hSxF558Fm2ai3une31emHk3s8XjQbDbxv//7vzLZb3NzUxQC8cdSqWSrBSH0xfCSm9bv99+hKmse/TwoEd4L8VIqYrfbjfPzc5lGychu1kV7deVyGW/evMHKyorQxvUQI77ezK8A9iFq3ONer4ejoyPUajV4PB68efNGphsSPx6NRgIdNptN/PjjjyiXy9KZYV7kQ0Tc9EaZDxuPx1LtbdacsW/f8vIytre3hTARDocRi8WEzcR6F5YMEM7mXszDM61F5wSvYr7paY9U8uPxGOfn50JEGY/H2N7etrXU1/lB4MK5ZB+8SXUjNBpmhMhn3rIsyUOaBox5HU74DYfD6Ha7CAaDSKfTqFarMlK+2Wzi4OAAhUJB2K48y3e5j1MbFs7fOD8/x3h8wYXnOFRtXc0Oxfxbjdtqj0fXPMyLQdHCh4bJbv6MHr6eTT4PQiXU6XTEONbrdds41EkQGA+r9uI0DbJQKKBQKEhlfzAYBGCvPuZhbrfbODs7s+Xf5kU+RI6Qa0RP1ePxCNvSvBZdvBoKhZBOpxGLxaQQlf3FSFDRmDzp91cp5lkVHZHwq/n88isNsq7tqdfrOD09hd/vRzqdtvUHZN6ENHsAUmBJoZOl90T3L9TXoX9Oo8JzZULuOgrVA/Si0ag4+cvLy4IC0Fjeh0zdK4zWjYtCihtvigurC4NoFW8CY9xlpDKJ/XGfh0BHYrr7wDwpRC0sumInY5OKaCY/dftvPSmUTfy0t0U2DN+H3pleNyZJ59HZ+FDXOx5fDvEaDoc4ODhAOp2WGSJ6FDert0nC8Xg82NraAnBB1gmFQkgkEuj1eigWiygUCpIYLhaLtnqJD3nPtxGtHyYZFg0b8blk8TNbElUqFVu9FpmNukmkjo6cdIGONrWeNHMgut+eRnr4ObqQk9/rVISmMN/nmZrasJjda1k0RMtqJq8IDTHB5dQTR7//TX52nTg9MKZ3fR8Lyg0jk4MbbSrheRB6RMynAbDNXAHsUAKFTD8aDUIDnONC1hLne+s5IZy0yaiPRkazweZpDR/6WnXuMp/P47vvvoPX60W9Xsfe3p5AMqlUCisrK9jc3EQymZQao2QyCQBIJpN49uyZ0FTZA+7k5ARnZ2eo1+v44Ycf8N1338nzQZh3HnJgTgwwrSd0rpflEDqPwryj2+3G2toaXr58iVKphO3tbdGBZhcJRvh8D/NzteOtEQG9njpi0bkYnZPhGdUTeTUVWrdL0gbnrvdsasNiMgjoregQjOwTKhZihFcpWO35vs9NTvJCHipc58HWHhw/d9b7hFF0iM3DpWGWSfvHaIQtfnSdCsetssaCnrJ2VpgsHgwGkmy86jMX8q5wncgAIpX//PwcPp8Pm5ubMlkSuHQEmDOwLEva91BRkQjA0QmFQgHZbBaxWEwYgmwcOk+wmAkl6Z/raIWMTkbaXA8AyGazKBQKAC4T5wBskbg2EOZn6giCBkBH6fr1uniVEZJpWGhUuG9OEQuAdyKWu963qVlhGh+kaDxdh9r0bk1aKt9jkqExk8FOkNakRbgqvNVeidN7Txsa3oRRoSEirsus51r4oAM3Y+jp/WeSkLAAk8Nra2viHfO17KvGSJaRi659WcjtRDuBvV5PWF5+vx8ul0tGIbCpIvuGTTp79JJ5vgGIAtTe9rwYFWCy3jF/zp9ptIWQVKfTQaFQEF03HA4RCASQSCSQSCSkhxcNBc+EmYDXPQnJquU1aUalNgSEnJ366zFqLRaLaDQayOVyKBQKwtzV+2be/13IVIaFioPWVfe5oYfKflCj0Uim1pGVor1aAO9slnmT/Ext3Sn6QXbyOPj+Tj/TrzV75WiY5yoxE2hOSlBfFwsAPR4Pcrncle/9oYX7e5XRNdeQD3ckEsHOzo7kVDhm4De/+Q2eP38uJABGJO12W9pjkBapm4Hysxdyc2HUDFwoIxoVtlrivrALL4tUCYXxPbQjyEjU6/XC7/djNBrZCDrzZFgmXaO+fm1kAbtS1zThUqmEv/zlL/B4PAgGgwiHw/J9LBZ7J5n/5MkTfPLJJ8LwYh6axmc0GqFSqcjMHNZ3sfFrrVYTA0KkiEWZ+jrJ4mP9zP7+Po6OjqQDs1lTQ7nOWXbKRTnJrVhhusBGf6VxYRsDQkK6BYK20jf1SjVd1TQu+rOd5KqF4f/13IFphJ971d/RuJCKyPzDLIt+4EyjzZ/p73XEwt5UeiCS1+vFo0ePsLW1BZfLhWq1ikKhgEajIRR0Eh50dDsPSmpWRUcsVDSWZdkqyDlHiB6yXm+nc0Pjwj2jd3xV3nQe5CbXrddTG4t2u42TkxMAdmeTTUBZNB0KhaQPXigUkt6KNCyabUeK92g0EiM2HA4FdiOBgKPWdaW+dnSZpyTFmL0MzUhlWnFy3E2ZbQ23kIUsZCELmTuxpswp5AEc3t/l/GpkZzweJ69/2c1ksS93Jne2L4s9uVNZ7MtsysR9mcqwLGQhC1nIQhZynSygsIUsZCELWcidysKwLGQhC1nIQu5UFoZlIQtZyEIWcqeyMCwLWchCFrKQO5WFYVnIQhaykIXcqSwMy0IWspCFLOROZWFYFrKQhSxkIXcqC8OykIUsZCELuVNZGJaFLGQhC1nIncr/AQopxpErhnvRAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 504x504 with 16 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pY7JvQIZk9yj",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}