eval_net_lapicque.ipynb

{
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   "cell_type": "code",
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   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz\n",
      "Failed to download (trying next):\n",
      "HTTP Error 403: Forbidden\n",
      "\n",
      "Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-images-idx3-ubyte.gz\n",
      "Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-images-idx3-ubyte.gz to /tmp/data/mnist/MNIST/raw/train-images-idx3-ubyte.gz\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100.0%\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Extracting /tmp/data/mnist/MNIST/raw/train-images-idx3-ubyte.gz to /tmp/data/mnist/MNIST/raw\n",
      "\n",
      "Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100.0%"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Failed to download (trying next):\n",
      "HTTP Error 403: Forbidden\n",
      "\n",
      "Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-labels-idx1-ubyte.gz\n",
      "Downloading https://ossci-datasets.s3.amazonaws.com/mnist/train-labels-idx1-ubyte.gz to /tmp/data/mnist/MNIST/raw/train-labels-idx1-ubyte.gz\n",
      "Extracting /tmp/data/mnist/MNIST/raw/train-labels-idx1-ubyte.gz to /tmp/data/mnist/MNIST/raw\n",
      "\n",
      "Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "59.6%"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Failed to download (trying next):\n",
      "HTTP Error 403: Forbidden\n",
      "\n",
      "Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-images-idx3-ubyte.gz\n",
      "Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-images-idx3-ubyte.gz to /tmp/data/mnist/MNIST/raw/t10k-images-idx3-ubyte.gz\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100.0%\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Extracting /tmp/data/mnist/MNIST/raw/t10k-images-idx3-ubyte.gz to /tmp/data/mnist/MNIST/raw\n",
      "\n",
      "Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100.0%"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Failed to download (trying next):\n",
      "HTTP Error 403: Forbidden\n",
      "\n",
      "Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-labels-idx1-ubyte.gz\n",
      "Downloading https://ossci-datasets.s3.amazonaws.com/mnist/t10k-labels-idx1-ubyte.gz to /tmp/data/mnist/MNIST/raw/t10k-labels-idx1-ubyte.gz\n",
      "Extracting /tmp/data/mnist/MNIST/raw/t10k-labels-idx1-ubyte.gz to /tmp/data/mnist/MNIST/raw\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "# Main Setup\n",
    "\n",
    "# imports\n",
    "import snntorch as snn\n",
    "from snntorch import spikeplot as splt\n",
    "from snntorch import spikegen\n",
    "\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "from torch.utils.data import DataLoader\n",
    "from torchvision import datasets, transforms\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import itertools\n",
    "\n",
    "# dataloader arguments\n",
    "batch_size = 128\n",
    "data_path='/tmp/data/mnist'\n",
    "\n",
    "dtype = torch.float\n",
    "device = torch.device(\"cuda\") if torch.cuda.is_available() else torch.device(\"mps\") if torch.backends.mps.is_available() else torch.device(\"cpu\")\n",
    "\n",
    "# Define a transform\n",
    "transform = transforms.Compose([\n",
    "            transforms.Resize((28, 28)),\n",
    "            transforms.Grayscale(),\n",
    "            transforms.ToTensor(),\n",
    "            transforms.Normalize((0,), (1,))])\n",
    "\n",
    "mnist_train = datasets.MNIST(data_path, train=True, download=True, transform=transform)\n",
    "mnist_test = datasets.MNIST(data_path, train=False, download=True, transform=transform)\n",
    "\n",
    "# Create DataLoaders\n",
    "train_loader = DataLoader(mnist_train, batch_size=batch_size, shuffle=True, drop_last=True)\n",
    "test_loader = DataLoader(mnist_test, batch_size=batch_size, shuffle=True, drop_last=True)\n",
    "\n",
    "# Network Architecture\n",
    "num_inputs = 28*28\n",
    "num_hidden = 1000\n",
    "num_outputs = 10\n",
    "\n",
    "# Temporal Dynamics\n",
    "num_steps = 25\n",
    "beta = 0.70\n",
    "\n",
    "R = 1\n",
    "C = 1.44\n",
    "\n",
    "# Define Network\n",
    "class Net(nn.Module):\n",
    "    def __init__(self):\n",
    "        super().__init__()\n",
    "\n",
    "        # Initialize layers\n",
    "        self.fc1 = nn.Linear(num_inputs, num_hidden)\n",
    "        self.lif1 = snn.Lapicque(beta=beta)\n",
    "        self.fc2 = nn.Linear(num_hidden, num_outputs)\n",
    "        self.lif2 = snn.Lapicque(R=R, C=C)\n",
    "\n",
    "    def forward(self, x):\n",
    "\n",
    "        # Initialize hidden states at t=0\n",
    "        mem1 = self.lif1.init_lapicque()\n",
    "        mem2 = self.lif2.init_lapicque()\n",
    "\n",
    "        # Record the final layer\n",
    "        spk2_rec = []\n",
    "        mem2_rec = []\n",
    "\n",
    "        for step in range(num_steps):\n",
    "            cur1 = self.fc1(x)\n",
    "            spk1, mem1 = self.lif1(cur1, mem1)\n",
    "            cur2 = self.fc2(spk1)\n",
    "            spk2, mem2 = self.lif2(cur2, mem2)\n",
    "            spk2_rec.append(spk2)\n",
    "            mem2_rec.append(mem2)\n",
    "\n",
    "        return torch.stack(spk2_rec, dim=0), torch.stack(mem2_rec, dim=0)\n",
    "\n",
    "# Load the network onto CUDA if available\n",
    "net = Net().to(device)\n",
    "\n",
    "# pass data into the network, sum the spikes over time\n",
    "# and compare the neuron with the highest number of spikes\n",
    "# with the target\n",
    "\n",
    "def print_batch_accuracy(data, targets, train=False):\n",
    "    output, _ = net(data.view(batch_size, -1))\n",
    "    _, idx = output.sum(dim=0).max(1)\n",
    "    acc = np.mean((targets == idx).detach().cpu().numpy())\n",
    "\n",
    "    if train:\n",
    "        print(f\"Train set accuracy for a single minibatch: {acc*100:.2f}%\")\n",
    "    else:\n",
    "        print(f\"Test set accuracy for a single minibatch: {acc*100:.2f}%\")\n",
    "\n",
    "def train_printer(\n",
    "    data, targets, epoch,\n",
    "    counter, iter_counter,\n",
    "        loss_hist, test_loss_hist, test_data, test_targets):\n",
    "    print(f\"Epoch {epoch}, Iteration {iter_counter}\")\n",
    "    print(f\"Train Set Loss: {loss_hist[counter]:.2f}\")\n",
    "    print(f\"Test Set Loss: {test_loss_hist[counter]:.2f}\")\n",
    "    print_batch_accuracy(data, targets, train=True)\n",
    "    print_batch_accuracy(test_data, test_targets, train=False)\n",
    "    print(\"\\n\")\n",
    "\n",
    "loss = nn.CrossEntropyLoss()\n",
    "optimizer = torch.optim.Adam(net.parameters(), lr=5e-4, betas=(0.9, 0.999))\n",
    "\n",
    "data, targets = next(iter(train_loader))\n",
    "data = data.to(device)\n",
    "targets = targets.to(device)\n",
    "\n",
    "spk_rec, mem_rec = net(data.view(batch_size, -1))\n",
    "# print(mem_rec.size())\n",
    "\n",
    "# initialize the total loss value\n",
    "loss_val = torch.zeros((1), dtype=dtype, device=device)\n",
    "\n",
    "# sum loss at every step\n",
    "for step in range(num_steps):\n",
    "  loss_val += loss(mem_rec[step], targets)\n",
    "\n",
    "# print(f\"Training loss: {loss_val.item():.3f}\")\n",
    "# print_batch_accuracy(data, targets, train=True)\n",
    "\n",
    "# clear previously stored gradients\n",
    "optimizer.zero_grad()\n",
    "\n",
    "# calculate the gradients\n",
    "loss_val.backward()\n",
    "\n",
    "# weight update\n",
    "optimizer.step()\n",
    "\n",
    "# calculate new network outputs using the same data\n",
    "spk_rec, mem_rec = net(data.view(batch_size, -1))\n",
    "\n",
    "# initialize the total loss value\n",
    "loss_val = torch.zeros((1), dtype=dtype, device=device)\n",
    "\n",
    "# sum loss at every step\n",
    "for step in range(num_steps):\n",
    "  loss_val += loss(mem_rec[step], targets)\n",
    "\n",
    "# print(f\"Training loss: {loss_val.item():.3f}\")\n",
    "# print_batch_accuracy(data, targets, train=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 0, Iteration 0\n",
      "Train Set Loss: 57.64\n",
      "Test Set Loss: 57.59\n",
      "Train set accuracy for a single minibatch: 7.03%\n",
      "Test set accuracy for a single minibatch: 9.38%\n",
      "\n",
      "\n",
      "Epoch 0, Iteration 50\n",
      "Train Set Loss: 28.74\n",
      "Test Set Loss: 30.87\n",
      "Train set accuracy for a single minibatch: 85.94%\n",
      "Test set accuracy for a single minibatch: 71.88%\n",
      "\n",
      "\n",
      "Epoch 0, Iteration 100\n",
      "Train Set Loss: 15.78\n",
      "Test Set Loss: 15.18\n",
      "Train set accuracy for a single minibatch: 88.28%\n",
      "Test set accuracy for a single minibatch: 83.59%\n",
      "\n",
      "\n",
      "Epoch 0, Iteration 150\n",
      "Train Set Loss: 10.51\n",
      "Test Set Loss: 14.57\n",
      "Train set accuracy for a single minibatch: 92.97%\n",
      "Test set accuracy for a single minibatch: 88.28%\n",
      "\n",
      "\n",
      "Epoch 0, Iteration 200\n",
      "Train Set Loss: 8.62\n",
      "Test Set Loss: 12.80\n",
      "Train set accuracy for a single minibatch: 91.41%\n",
      "Test set accuracy for a single minibatch: 85.16%\n",
      "\n",
      "\n",
      "Epoch 0, Iteration 250\n",
      "Train Set Loss: 7.45\n",
      "Test Set Loss: 9.65\n",
      "Train set accuracy for a single minibatch: 92.19%\n",
      "Test set accuracy for a single minibatch: 92.19%\n",
      "\n",
      "\n",
      "Epoch 0, Iteration 300\n",
      "Train Set Loss: 13.72\n",
      "Test Set Loss: 10.39\n",
      "Train set accuracy for a single minibatch: 84.38%\n",
      "Test set accuracy for a single minibatch: 85.94%\n",
      "\n",
      "\n",
      "Epoch 0, Iteration 350\n",
      "Train Set Loss: 10.01\n",
      "Test Set Loss: 7.37\n",
      "Train set accuracy for a single minibatch: 88.28%\n",
      "Test set accuracy for a single minibatch: 92.97%\n",
      "\n",
      "\n",
      "Epoch 0, Iteration 400\n",
      "Train Set Loss: 8.19\n",
      "Test Set Loss: 11.58\n",
      "Train set accuracy for a single minibatch: 91.41%\n",
      "Test set accuracy for a single minibatch: 89.06%\n",
      "\n",
      "\n",
      "Epoch 0, Iteration 450\n",
      "Train Set Loss: 6.87\n",
      "Test Set Loss: 6.66\n",
      "Train set accuracy for a single minibatch: 94.53%\n",
      "Test set accuracy for a single minibatch: 90.62%\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Training Loop \n",
    "num_epochs = 1\n",
    "loss_hist = []\n",
    "test_loss_hist = []\n",
    "counter = 0\n",
    "\n",
    "# Outer training loop\n",
    "for epoch in range(num_epochs):\n",
    "    iter_counter = 0\n",
    "    train_batch = iter(train_loader)\n",
    "\n",
    "    # Minibatch training loop\n",
    "    for data, targets in train_batch:\n",
    "        data = data.to(device)\n",
    "        targets = targets.to(device)\n",
    "\n",
    "        # forward pass\n",
    "        net.train()\n",
    "        spk_rec, mem_rec = net(data.view(batch_size, -1))\n",
    "\n",
    "        # initialize the loss & sum over time\n",
    "        loss_val = torch.zeros((1), dtype=dtype, device=device)\n",
    "        for step in range(num_steps):\n",
    "            loss_val += loss(mem_rec[step], targets)\n",
    "\n",
    "        # Gradient calculation + weight update\n",
    "        optimizer.zero_grad()\n",
    "        loss_val.backward()\n",
    "        optimizer.step()\n",
    "\n",
    "        # Store loss history for future plotting\n",
    "        loss_hist.append(loss_val.item())\n",
    "\n",
    "        # Test set\n",
    "        with torch.no_grad():\n",
    "            net.eval()\n",
    "            test_data, test_targets = next(iter(test_loader))\n",
    "            test_data = test_data.to(device)\n",
    "            test_targets = test_targets.to(device)\n",
    "\n",
    "            # Test set forward pass\n",
    "            test_spk, test_mem = net(test_data.view(batch_size, -1))\n",
    "\n",
    "            # Test set loss\n",
    "            test_loss = torch.zeros((1), dtype=dtype, device=device)\n",
    "            for step in range(num_steps):\n",
    "                test_loss += loss(test_mem[step], test_targets)\n",
    "            test_loss_hist.append(test_loss.item())\n",
    "\n",
    "            # Print train/test loss/accuracy\n",
    "            if counter % 50 == 0:\n",
    "                train_printer(\n",
    "                    data, targets, epoch,\n",
    "                    counter, iter_counter,\n",
    "                    loss_hist, test_loss_hist,\n",
    "                    test_data, test_targets)\n",
    "            counter += 1\n",
    "            iter_counter +=1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot Loss\n",
    "fig = plt.figure(facecolor=\"w\", figsize=(10, 5))\n",
    "plt.plot(loss_hist)\n",
    "plt.plot(test_loss_hist)\n",
    "plt.title(\"Lapicque: Loss Curves\")\n",
    "plt.legend([\"Train Loss\", \"Test Loss\"])\n",
    "plt.xlabel(\"Iteration\")\n",
    "plt.ylabel(\"Loss\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total correctly classified test set images: 9090/10000\n",
      "Test Set Accuracy: 90.90%\n"
     ]
    }
   ],
   "source": [
    "# Initial Evaluation\n",
    "\n",
    "# Test Accuracy\n",
    "\n",
    "total = 0\n",
    "correct = 0\n",
    "\n",
    "# drop_last switched to False to keep all samples\n",
    "test_loader = DataLoader(mnist_test, batch_size=batch_size, shuffle=True, drop_last=False)\n",
    "\n",
    "with torch.no_grad():\n",
    "  net.eval()\n",
    "  for data, targets in test_loader:\n",
    "    data = data.to(device)\n",
    "    targets = targets.to(device)\n",
    "    \n",
    "    # forward pass\n",
    "    test_spk, _ = net(data.view(data.size(0), -1))\n",
    "\n",
    "    # calculate total accuracy\n",
    "    _, predicted = test_spk.sum(dim=0).max(1)\n",
    "    total += targets.size(0)\n",
    "    correct += (predicted == targets).sum().item()\n",
    "\n",
    "print(f\"Total correctly classified test set images: {correct}/{total}\")\n",
    "print(f\"Test Set Accuracy: {100 * correct / total:.2f}%\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save Ref Network\n",
    "torch.save(net.state_dict(), 'ref_snn_lapicque.pth')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Testing Loaded Network\n"
     ]
    }
   ],
   "source": [
    "# Testing Setup\n",
    "\n",
    "test_net = Net()\n",
    "\n",
    "test_net.load_state_dict(torch.load('ref_snn_lapicque.pth'))\n",
    "\n",
    "test_net.to(device)\n",
    "\n",
    "\n",
    "print(\"Testing Loaded Network\")\n",
    "\n",
    "\n",
    "def acc_test(net, mnist_test, batch_size):\n",
    "    # Test Accuracy\n",
    "\n",
    "    total = 0\n",
    "    correct = 0\n",
    "\n",
    "    # drop_last switched to False to keep all samples\n",
    "    test_loader = DataLoader(mnist_test, batch_size=batch_size, shuffle=True, drop_last=False)\n",
    "\n",
    "    with torch.no_grad():\n",
    "        net.eval()\n",
    "        for data, targets in test_loader:\n",
    "            data = data.to(device)\n",
    "            targets = targets.to(device)\n",
    "            \n",
    "            # forward pass\n",
    "            test_spk, _ = net(data.view(data.size(0), -1))\n",
    "\n",
    "            # calculate total accuracy\n",
    "            _, predicted = test_spk.sum(dim=0).max(1)\n",
    "            total += targets.size(0)\n",
    "            correct += (predicted == targets).sum().item()\n",
    "\n",
    "    # print(f\"Total correctly classified test set images: {correct}/{total}\")\n",
    "    # print(f\"Test Set Accuracy: {100 * correct / total:.2f}%\")\n",
    "    return 100 * correct / total\n",
    "\n",
    "def mod_fc1(net, neuron_index): # neuron_index 0 to 999\n",
    "    # Print the initial weights\n",
    "    # print(\"Initial weights:\", net.fc1.weight)\n",
    "\n",
    "    # Access the parameters\n",
    "    parameters = net.parameters()\n",
    "\n",
    "    # Assuming you want to modify the weights of the first neuron in the linear layer\n",
    "    # neuron_index = 1    # 0 to 999\n",
    "    for param in parameters:\n",
    "        if param is net.fc1.weight:\n",
    "            # Modify the weights of the first neuron\n",
    "            new_weights = torch.randn(param.size(1))  # Example: Initialize new weights randomly\n",
    "            param.data[neuron_index] = new_weights\n",
    "\n",
    "    # Print the modified weights\n",
    "    # print(\"Modified weights:\", net.fc1.weight)\n",
    "    # print(\"Size of Weights: \", net.fc1.weight.size())\n",
    "    return net\n",
    "\n",
    "def mod_fc2(net, neuron_index): # neuron_index 0 to 9\n",
    "    # Print the initial weights\n",
    "    # print(\"Initial weights:\", net.fc2.weight)\n",
    "\n",
    "    # Access the parameters\n",
    "    parameters = net.parameters()\n",
    "\n",
    "    # Assuming you want to modify the weights of the first neuron in the linear layer\n",
    "    # neuron_index = 4     # 0 to 9\n",
    "    for param in parameters:\n",
    "        if param is net.fc2.weight:\n",
    "            # Modify the weights of the first neuron\n",
    "            new_weights = torch.randn(param.size(1))  # Example: Initialize new weights randomly\n",
    "            param.data[neuron_index] = new_weights\n",
    "\n",
    "    # Print the modified weights\n",
    "    # print(\"Modified weights:\", net.fc2.weight)\n",
    "    # print(\"Size of Weights: \", net.fc2.weight.size())\n",
    "    return net"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Base Accuracy: 90.90%\n",
      "Accuracy loss of Output Layer Parameter Corruption(0): 13.35%\n",
      "Accuracy loss of Output Layer Parameter Corruption(1): 38.93%\n",
      "Accuracy loss of Output Layer Parameter Corruption(2): 7.70%\n",
      "Accuracy loss of Output Layer Parameter Corruption(3): 7.35%\n",
      "Accuracy loss of Output Layer Parameter Corruption(4): 10.73%\n",
      "Accuracy loss of Output Layer Parameter Corruption(5): 24.87%\n",
      "Accuracy loss of Output Layer Parameter Corruption(6): 5.72%\n",
      "Accuracy loss of Output Layer Parameter Corruption(7): 10.44%\n",
      "Accuracy loss of Output Layer Parameter Corruption(8): 5.35%\n",
      "Accuracy loss of Output Layer Parameter Corruption(9): 10.14%\n",
      "[13.350000000000009, 38.93000000000001, 7.700000000000003, 7.3500000000000085, 10.730000000000004, 24.870000000000005, 5.719999999999999, 10.440000000000012, 5.3500000000000085, 10.14]\n"
     ]
    }
   ],
   "source": [
    "# Output Layer Corruption\n",
    "\n",
    "fc2_acc_loss_rec = []\n",
    "\n",
    "test_net = Net()\n",
    "test_net.load_state_dict(torch.load('ref_snn_lapicque.pth'))\n",
    "test_net.to(device)\n",
    "\n",
    "acc_ref = acc_test(test_net, mnist_test, batch_size)\n",
    "print(f\"Base Accuracy: {(acc_ref):.2f}%\")\n",
    "for x in range(0,10):\n",
    "    test_net = Net()\n",
    "    test_net.load_state_dict(torch.load('ref_snn_lapicque.pth'))\n",
    "    test_net.to(device)\n",
    "    acc = acc_test(mod_fc2(test_net, x), mnist_test, batch_size)\n",
    "    print(f\"Accuracy loss of Output Layer Parameter Corruption({x}): {(acc_ref-acc):.2f}%\")\n",
    "    fc2_acc_loss_rec.append(acc_ref-acc)\n",
    "\n",
    "# fc2_acc_loss_rec = torch.stack(fc2_acc_loss_rec, dim = 0)\n",
    "print(fc2_acc_loss_rec)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Base Accuracy: 90.90%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(0): 0.00%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(1): 0.06%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(2): 0.02%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(3): -0.02%\n",
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      "Accuracy loss of Hidden Layer Parameter Corruption(976): 0.00%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(977): -0.04%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(978): 0.00%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(979): 0.01%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(980): -0.03%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(981): 0.03%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(982): 0.09%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(983): 0.03%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(984): 0.08%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(985): 0.06%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(986): -0.03%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(987): 0.03%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(988): -0.01%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(989): -0.06%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(990): 0.04%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(991): 0.02%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(992): 0.01%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(993): -0.02%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(994): -0.05%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(995): 0.01%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(996): 0.00%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(997): -0.01%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(998): -0.03%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(999): 0.06%\n"
     ]
    }
   ],
   "source": [
    "# Hidden Layer Corruption\n",
    "\n",
    "fc1_acc_loss_rec = []\n",
    "\n",
    "test_net = Net()\n",
    "test_net.load_state_dict(torch.load('ref_snn_lapicque.pth'))\n",
    "test_net.to(device)\n",
    "\n",
    "acc_ref = acc_test(test_net, mnist_test, batch_size)\n",
    "print(f\"Base Accuracy: {(acc_ref):.2f}%\")\n",
    "for x in range(0,1000):\n",
    "    test_net = Net()\n",
    "    test_net.load_state_dict(torch.load('ref_snn_lapicque.pth'))\n",
    "    test_net.to(device)\n",
    "    acc = acc_test(mod_fc1(test_net, x), mnist_test, batch_size)\n",
    "    print(f\"Accuracy loss of Hidden Layer Parameter Corruption({x}): {(acc_ref-acc):.2f}%\")\n",
    "    fc1_acc_loss_rec.append(acc_ref-acc)\n",
    "\n",
    "# fc1_acc_loss_rec = torch.stack(fc1_acc_loss_rec, dim = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot Accuracy Dop\n",
    "fig = plt.figure(facecolor=\"w\", figsize=(10, 5))\n",
    "plt.plot(fc2_acc_loss_rec)\n",
    "# plt.plot(test_loss_hist)\n",
    "plt.title(\"Lapicque RC Model: Output Layer Accuracy Loss\")\n",
    "#plt.legend([\"Train Loss\", \"Test Loss\"])\n",
    "plt.xlabel(\"Neuron Index\")\n",
    "plt.ylabel(\"% Accuracy Drop\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot Accuracy Dop\n",
    "fig = plt.figure(facecolor=\"w\", figsize=(10, 5))\n",
    "plt.plot(fc1_acc_loss_rec)\n",
    "# plt.plot(test_loss_hist)\n",
    "plt.title(\"Lapicque RC Model: Hidden Layer Accuracy Loss\")\n",
    "#plt.legend([\"Train Loss\", \"Test Loss\"])\n",
    "plt.xlabel(\"Neuron Index\")\n",
    "plt.ylabel(\"% Accuracy Drop\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting Output Layer Trial 2\n",
      "Starting Output Layer Trial 3\n",
      "Starting Output Layer Trial 4\n",
      "Starting Output Layer Trial 5\n",
      "Starting Output Layer Trial 6\n"
     ]
    }
   ],
   "source": [
    "# Multi-trial Output Layer Corruption\n",
    "\n",
    "print(\"Starting Output Layer Trial 2\")\n",
    "fc2_acc_loss_rec_2 = []\n",
    "\n",
    "test_net = Net()\n",
    "test_net.load_state_dict(torch.load('ref_snn_lapicque.pth'))\n",
    "test_net.to(device)\n",
    "\n",
    "acc_ref = acc_test(test_net, mnist_test, batch_size)\n",
    "# print(f\"Base Accuracy: {(acc_ref):.2f}%\")\n",
    "for x in range(0,10):\n",
    "    test_net = Net()\n",
    "    test_net.load_state_dict(torch.load('ref_snn_lapicque.pth'))\n",
    "    test_net.to(device)\n",
    "    acc = acc_test(mod_fc2(test_net, x), mnist_test, batch_size)\n",
    "    # print(f\"Accuracy loss of Output Layer Parameter Corruption({x}): {(acc_ref-acc):.2f}%\")\n",
    "    fc2_acc_loss_rec_2.append(acc_ref-acc)\n",
    "\n",
    "\n",
    "print(\"Starting Output Layer Trial 3\")\n",
    "fc2_acc_loss_rec_3 = []\n",
    "\n",
    "test_net = Net()\n",
    "test_net.load_state_dict(torch.load('ref_snn_lapicque.pth'))\n",
    "test_net.to(device)\n",
    "\n",
    "acc_ref = acc_test(test_net, mnist_test, batch_size)\n",
    "# print(f\"Base Accuracy: {(acc_ref):.2f}%\")\n",
    "for x in range(0,10):\n",
    "    test_net = Net()\n",
    "    test_net.load_state_dict(torch.load('ref_snn_lapicque.pth'))\n",
    "    test_net.to(device)\n",
    "    acc = acc_test(mod_fc2(test_net, x), mnist_test, batch_size)\n",
    "    # print(f\"Accuracy loss of Output Layer Parameter Corruption({x}): {(acc_ref-acc):.2f}%\")\n",
    "    fc2_acc_loss_rec_3.append(acc_ref-acc)\n",
    "\n",
    "print(\"Starting Output Layer Trial 4\")\n",
    "fc2_acc_loss_rec_4 = []\n",
    "\n",
    "test_net = Net()\n",
    "test_net.load_state_dict(torch.load('ref_snn_lapicque.pth'))\n",
    "test_net.to(device)\n",
    "\n",
    "acc_ref = acc_test(test_net, mnist_test, batch_size)\n",
    "# print(f\"Base Accuracy: {(acc_ref):.2f}%\")\n",
    "for x in range(0,10):\n",
    "    test_net = Net()\n",
    "    test_net.load_state_dict(torch.load('ref_snn_lapicque.pth'))\n",
    "    test_net.to(device)\n",
    "    acc = acc_test(mod_fc2(test_net, x), mnist_test, batch_size)\n",
    "    # print(f\"Accuracy loss of Output Layer Parameter Corruption({x}): {(acc_ref-acc):.2f}%\")\n",
    "    fc2_acc_loss_rec_4.append(acc_ref-acc)\n",
    "\n",
    "\n",
    "print(\"Starting Output Layer Trial 5\")\n",
    "fc2_acc_loss_rec_5 = []\n",
    "\n",
    "test_net = Net()\n",
    "test_net.load_state_dict(torch.load('ref_snn_lapicque.pth'))\n",
    "test_net.to(device)\n",
    "\n",
    "acc_ref = acc_test(test_net, mnist_test, batch_size)\n",
    "# print(f\"Base Accuracy: {(acc_ref):.2f}%\")\n",
    "for x in range(0,10):\n",
    "    test_net = Net()\n",
    "    test_net.load_state_dict(torch.load('ref_snn_lapicque.pth'))\n",
    "    test_net.to(device)\n",
    "    acc = acc_test(mod_fc2(test_net, x), mnist_test, batch_size)\n",
    "    # print(f\"Accuracy loss of Output Layer Parameter Corruption({x}): {(acc_ref-acc):.2f}%\")\n",
    "    fc2_acc_loss_rec_5.append(acc_ref-acc)\n",
    "\n",
    "\n",
    "print(\"Starting Output Layer Trial 6\")\n",
    "fc2_acc_loss_rec_6 = []\n",
    "\n",
    "test_net = Net()\n",
    "test_net.load_state_dict(torch.load('ref_snn_lapicque.pth'))\n",
    "test_net.to(device)\n",
    "\n",
    "acc_ref = acc_test(test_net, mnist_test, batch_size)\n",
    "# print(f\"Base Accuracy: {(acc_ref):.2f}%\")\n",
    "for x in range(0,10):\n",
    "    test_net = Net()\n",
    "    test_net.load_state_dict(torch.load('ref_snn_lapicque.pth'))\n",
    "    test_net.to(device)\n",
    "    acc = acc_test(mod_fc2(test_net, x), mnist_test, batch_size)\n",
    "    # print(f\"Accuracy loss of Output Layer Parameter Corruption({x}): {(acc_ref-acc):.2f}%\")\n",
    "    fc2_acc_loss_rec_6.append(acc_ref-acc)\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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SUBSFyMjIOv+uR48erfPv2r17d/MbKE3Jy8vjp59+Yty4cZw8edJ8Gz16NLt37+bEiROA+vNaUFDQZDpjcnKyxSmPTWno6zl8+DA33ngjXl5eeHp6EhAQwB133AFc+h6b9h82FVN8fDzBwcHmiaHRaOSLL77ghhtuaPXPsCW/688//zx5eXlERUUxaNAgnnzySQ4cOGAer9fr+cc//sHq1avp1q0bY8eO5Z///Gedip1CCJXsSRKiC/rss8+46667mDFjBk8++SSBgYHodDpeeeWVWoUJ2pOG3km+/N1/U0GCTz/9tNaeCJPmVuAbNGgQkyZNAtSVtJKSEu677z6uvvpqwsLC6NOnDw4ODhw8eNCSL6NRwcHBxMXFsXDhQrZt29amFe2s9X1rSr9+/QA4cOBAnb1vJqYXdqYJdnP/7a2lra9XU3JyMhMnTiQ6Opp///vfhIWF4eTkxE8//cTrr79eq+BG//79iY2N5bPPPmP27Nl89tlnODk51Sr0YTQa0Wg0rF69Gp1OV+d67u7utT6vb69aQ7755hvKy8tZuHAhCxcurPP40qVLee6555p9vuaw9N+mvq8nLy+PcePG4enpyfPPP09ERATOzs7s3buXv/zlLw0WNWmITqfj9ttv54MPPuCdd95h27ZtpKammiddbWXs2LEkJyezYsUK1q5dy4cffsjrr7/Ou+++a97bN3/+fKZPn87y5ctZs2YNf/vb33jllVfYuHFjnT1VQnR1MkkSogv69ttvCQ8PZ9myZbVedNTc7F1TfekbJ06caHSjb0REBEajkSNHjjT4Yrhnz57m89dMJcnKyqqTDmJaWcrLy6uV+mJajap5XYDAwEDzJMcaXn31Vb7//nteeukl3n33XVxdXZkwYQIbN24kJSWFsLAwq1zn9ttv595778Xb25upU6fWOyYgIABXV1eOHz9e57Fjx46h1WrN8fTs2bPef7/Ln2ur79vlrr32WnQ6HZ9++mmDxRv+97//4eDgwDXXXAPU/rev6fJ/e2g6Lauhn2VXV1dzgQcfH596+yy15HqWWrVqFeXl5axcubJWQZCG0h1nz57N448/TlpaGp9//jnTpk2rtQobERGBoij07t2bqKgoq8a6dOlSBg4cWO/fjffee4/PP/+c5557joCAADw9PZsshx8REdHkGEt+FhqSkJBATk4Oy5YtY+zYsebjp0+frhMPwKFDh5r8nZg9ezYLFy5k1apVrF69moCAAKZMmdLsmBpiye86gK+vL3fffTd33303RUVFjB07lgULFtQqgBIREcGf/vQn/vSnP5GUlMSQIUNYuHAhn332WavjFaIzkXQ7Ibog0zvKiqKYj+3cuZNff/213vHLly+vVcb2t99+Y+fOnVx77bUNXmPGjBlotVqef/75Ou/Mmq47adIkHB0defPNN2vF8sYbb9Q5n+kFS81yzabyyzVNmTIFT09PXn755XrLI7c0pSoiIoKZM2fy8ccfm9NT/v73v6MoCnfeeSdFRUV1nrNnz5468TXl5ptv5u9//zvvvPNOg2lPOp2OyZMns2LFilopjxkZGXz++edcffXV5nTAqVOnsmPHjlqNarOysuqUaW7t9625JcDDwsK4++67Wb9+fb19kN599102btzIPffcQ2hoKKCmNvr7+9cp1f3OO+/Ueb6bmxtQ90W0ya+//lpr311KSgorVqxg8uTJ5t+LiIgI8vPza6UqpaWlmdPaLr+eNRvX1ve7mZ+fz0cffVTv+Ntuuw2NRsOjjz7KqVOn6qxe3HTTTeh0Op577rla5zRdIycnp0VxpqSksGXLFm655RZuvvnmOre7776bkydPsnPnTrRaLTNmzGDVqlXs3r27zrlMcc2cOZP9+/fX+302janv74DBYOD9999vduz1fY8rKirq/DwNGzaM3r1788Ybb9T5N778exkTE0NMTAwffvgh3333HbfeeqtVVl8t+V2//N/S3d2dPn36UF5eDqgVOcvKymqNiYiIwMPDwzxGCHGJrCQJ0Un997//5eeff65z/NFHH+W6665j2bJl3HjjjUybNo3Tp0/z7rvv0r9//3pf7Pfp04err76aBx98kPLyct544w38/PzMTVXr06dPH/7v//6PF154gTFjxnDTTTeh1+vZtWsXISEhvPLKKwQEBPDEE0/wyiuvcN111zF16lT27dvH6tWr65T7nTx5Mj169OCee+7hySefRKfT8d///peAgADOnTtnHufp6cnixYu58847GTZsGLfeeqt5zI8//sjo0aN56623WvQ9ffLJJ/n666954403ePXVV7nqqqt4++23eeihh4iOjubOO+8kMjKSwsJCEhISWLlyJS+++KJF1/Dy8jL3/WnMiy++yLp167j66qt56KGHcHBw4L333qO8vJx//vOf5nF//vOf+fTTT7nmmmt49NFHzSXAe/bsWWsS0NrvW3NLgAO8/vrrHDt2jIceeoiff/7ZvGK0Zs0aVqxYwbhx4+qkb9177728+uqr3HvvvQwfPpwtW7aY97zUZCrK8H//93/ceuutODo6Mn36dPPkaeDAgUyZMqVWCXCgVlrYrbfeyl/+8hduvPFG5s2bZy6FHhUVVaewSWxsLOvXr+ff//43ISEh9O7d21ySuSEbNmyo82IV1DcWJk+ejJOTE9OnT+ePf/wjRUVFfPDBBwQGBpKWllbnOQEBAVxzzTV88803eHt7M23atFqPR0RE8OKLL/L0009z5swZZsyYgYeHB6dPn+b777/n/vvv54knnmg03vp8/vnnKIrC9ddfX+/jU6dOxcHBgaVLlzJy5Ehefvll1q5dy7hx47j//vvp168faWlpfPPNN2zduhVvb2+efPJJvv32W373u9/xhz/8gdjYWC5evMjKlSt59913GTx4MAMGDODKK6/k6aef5uLFi/j6+vLll19SVVXV7NivuuoqfHx8mDNnDvPmzUOj0fDpp5/WmfhotVoWL17M9OnTGTJkCHfffTfBwcEcO3aMw4cPs2bNmlrjZ8+ebf5eWppq19jf6+b+rvfv35+4uDhiY2Px9fVl9+7dfPvtt+Z+ZCdOnGDixInccsst9O/fHwcHB77//nsyMjK49dZbLYpXiC6h7QvqCSFsyVRStqFbSkqKYjQalZdfflnp2bOnotfrlaFDhyo//PBDndLHNUsWL1y4UAkLC1P0er0yZswYZf/+/bWu21CJ7v/+97/K0KFDFb1er/j4+Cjjxo1T1q1bZ37cYDAozz33nBIcHKy4uLgocXFxyqFDh5SePXvWKa28Z88eZeTIkYqTk5PSo0cP5d///nejJYGnTJmieHl5Kc7OzkpERIRy11131Sr/XJ/6ym3XFBcXp3h6eip5eXm14rr99tuVkJAQxdHRUfHx8VEmTpyofPLJJ3XKn1+uZglwS2Pau3evMmXKFMXd3V1xdXVVxo8fr2zfvr3O8w8cOKCMGzdOcXZ2Vrp376688MILypIlS1r8fWtNCXCT8vJy5fXXX1diY2MVNzc3xdXVVRk2bJjyxhtvKBUVFXXGl5SUKPfcc4/i5eWleHh4KLfccouSmZlZpwS4oijKCy+8oHTv3l3RarW1vkZAmTt3rvLZZ58pkZGR5p/9+mJeu3atMnDgQMXJyUnp27ev8tlnn9X7dR87dkwZO3as4uLiUqds/eVMv08N3T799FNFURRl5cqVSkxMjOLs7Kz06tVL+cc//qH897//bbC0+ddff60Ayv3339/gtb/77jvl6quvVtzc3BQ3NzclOjpamTt3rnL8+HHzmOb8LJoMGjRI6dGjR6Nj4uLilMDAQKWyslJRFLXc+uzZs5WAgABFr9cr4eHhyty5c2u1I8jJyVEefvhhpXv37oqTk5MSGhqqzJkzR8nOzjaPSU5OViZNmqTo9XqlW7duyl//+ldl3bp19ZYAb+jr2bZtm3LllVcqLi4uSkhIiPLnP/9ZWbNmTb0/w1u3blXi4+MVDw8Pxc3NTYmJiVHefPPNOudMS0tTdDqdEhUV1dS3z6w5f68VpXm/6y+++KIyYsQIxdvbW3FxcVGio6OVl156yfz7lJ2drcydO1eJjo5W3NzcFC8vL2XkyJHK119/3ex4hehKNIpy2VsnQghR7cyZM/Tu3Zt//etfLXq3uTV69epFXFwcH3/8cZteV3ReGo2GuXPntnglsb1asWIFM2bMYMuWLYwZM8be4XRZ2dnZBAcH8+yzz/K3v/3N3uEIIVpJ9iQJIYQQHdgHH3xAeHg4V199tb1D6dI+/vhjDAZDrRLsQoiOS/YkCSGEEB3Ql19+yYEDB/jxxx9ZtGiR1SvtiebZuHEjR44c4aWXXmLGjBmNVv0UQnQcMkkSQgghOqDbbrsNd3d37rnnHh566CF7h9NlPf/882zfvp3Ro0fz5ptv2jscIYSVyJ4kIYQQQgghhKhB9iQJIYQQQgghRA0ySRJCCCGEEEKIGjr9niSj0UhqaioeHh6yqVUIIYQQQoguTFEUCgsLCQkJQatteL2o00+SUlNTCQsLs3cYQgghhBBCiHYiJSWF0NDQBh/v9JMkDw8PQP1GeHp62jkaIYQQQgghhL0UFBQQFhZmniM0pNNPkkwpdp6enjJJEkIIIYQQQjS5DUcKNwghhBBCCCFEDTJJEkIIIYQQQogaZJIkhBBCCCGEEDV0+j1JQgghhBBCtAeKolBVVYXBYLB3KJ2WTqfDwcGh1a1/ZJIkhBBCCCGEjVVUVJCWlkZJSYm9Q+n0XF1dCQ4OxsnJqcXnkEmSEEIIIYQQNmQ0Gjl9+jQ6nY6QkBCcnJxavdIh6lIUhYqKCrKysjh9+jSRkZGNNoxtjEyShBBCCCGEsKGKigqMRiNhYWG4urraO5xOzcXFBUdHR86ePUtFRQXOzs4tOo8UbhBCCCGEEKINtHRVQ1jGGt9n+ZcSQgghhBBCiBpkkiSEEEIIIYQQNcgkSQghhBBCCGEVCxYsYMiQIRY9R6PRsHz5cpvE01IySRJCCCGEEELUodFoGr0tWLCgznOeeOIJNmzYYNU4tmzZwvTp0wkJCWmzCZVUtxNCCCGEEELUkZaWZr7/1Vdf8eyzz3L8+HHzMXd3d/N9RVEwGAy4u7vXOm4NxcXFDB48mD/84Q/cdNNNVj13Q2QlSbR/Z7bCZzMh94y9IxFCCCGEsApFUSipqGrzm6IozY4xKCjIfPPy8kKj0Zg/P3bsGB4eHqxevZrY2Fj0ej1bt26tk263a9cu4uPj8ff3x8vLi3HjxrF3716LvlfXXnstL774IjfeeKNFz2sNWUkS7d+av0LafvjtA5jykr2jEUIIIYRotdJKA/2fXdPm1z3y/BRcnaw3BXjqqad47bXXCA8Px8fHh4SEhFqPFxYWMmfOHN58800URWHhwoVMnTqVpKQkPDw8rBaHtckkSbRvGUfUCRJAyk77xiKEEEIIIWp5/vnniY+Pb/DxCRMm1Pr8/fffx9vbm82bN3PdddfZOrwWk0mSaN8OfHnpfmoiVJaCo4vdwhFCCCGEsAYXRx1Hnp9il+ta0/Dhwxt9PCMjg2eeeYaEhAQyMzMxGAyUlJRw7tw5q8ZhbTJJEu2X0QAHvq7xeSWk7oOeV9kvJiGEEEIIK9BoNFZNe7MXNze3Rh+fM2cOOTk5LFq0iJ49e6LX6xk1ahQVFRVtFGHLSOEG0X6d3gyFaeDsDVHXqMfO7bBrSEIIIYQQovm2bdvGvHnzmDp1KgMGDECv15OdnW3vsJrU8aevovPa/5X6ceBM8A2HEz/LviQhhBBCiA4kMjKSTz/9lOHDh1NQUMCTTz6Ji4tlWyeKioo4efKk+fPTp0+TmJiIr68vPXr0sHbIgKwkifaqvAiOrlTvD74Nelyp3k/ZCUaj/eISQgghhBDNtmTJEnJzcxk2bBh33nkn8+bNIzAw0KJz7N69m6FDhzJ06FAAHn/8cYYOHcqzzz5ri5AB0CiWFEvvgAoKCvDy8iI/Px9PT097hyOaK/ELWP4A+EbAI3vAUAmvhkFVGcz9DQL62jtCIYQQQohmKSsr4/Tp0/Tu3RtnZ2d7h9PpNfb9bu7cQFaSRPu0/wv14+DbQKMBByfoHqsek31JQgghhBDChmSSJNqf/PNweot6P+aWS8fDRqofZV+SEEIIIYSwIZkkifbnwNeAAj1Hg0/PS8dN+5JkJUkIIYQQQtiQTJJE+6IocKC6qt3gW2s/FnqF+vFiMhS3/9KRQgghhBCiY5JJkmhf0hIh6xg4OEP/G2o/5uoLAdHqfUm5E0IIIYQQNiKTJNG+7P9S/Rg9DZy96j5u2pckKXdCCCGEEMJGZJIk2g9DJRz8Rr0/+Lb6x9TslySEEEIIIYQNtJtJ0quvvopGo2H+/PnmY2VlZcydOxc/Pz/c3d2ZOXMmGRkZ9gtS2NbJ9VCSA26BED6+/jGmlaTUfVBZ1naxCSGEEEKILqNdTJJ27drFe++9R0xMTK3jjz32GKtWreKbb75h8+bNpKamctNNN9kpSmFzpt5Ig34HOof6x/iGg6s/GCrU/UtCCCGEEEJYmd0nSUVFRcyaNYsPPvgAHx8f8/H8/HyWLFnCv//9byZMmEBsbCwfffQR27dvZ8cO2Y/S6ZTmwvGf1fuXV7WrSaORUuBCCCGEEO3UggULGDJkiEXP0Wg0LF++3CbxtJTdJ0lz585l2rRpTJo0qdbxPXv2UFlZWet4dHQ0PXr04Ndff23wfOXl5RQUFNS6iQ7g8HIwlEPgAAga1PhYaSorhBBCCGFzGo2m0duCBQvqPOeJJ55gw4YNVo3jlVde4YorrsDDw4PAwEBmzJjB8ePHrXqNyzWQ09Q2vvzyS/bu3cuuXbvqPJaeno6TkxPe3t61jnfr1o309PQGz/nKK6/w3HPPWTtUYWumqnaDb1VXixpTs3iDojQ9vosqyi1n9XsHGXB1CP2vDrF3OEIIIYToYNLS0sz3v/rqK5599tlakxN3d3fzfUVRMBgMuLu71zpuDZs3b2bu3LlcccUVVFVV8de//pXJkydz5MgR3NzcrHotE7utJKWkpPDoo4+ydOlSnJ2drXbep59+mvz8fPMtJSXFaucWNnLxFKTsAI1W3Y/UlODBoNOrRR5yTto+vg7q2I40Ms8UsGfNWXuHIoQQQojLKQpUFLf9TVGaHWJQUJD55uXlhUajMX9+7NgxPDw8WL16NbGxsej1erZu3Von3W7Xrl3Ex8fj7++Pl5cX48aNY+/evRZ9q37++WfuuusuBgwYwODBg/n44485d+4ce/bsseg8lrDbStKePXvIzMxk2LBh5mMGg4EtW7bw1ltvsWbNGioqKsjLy6u1mpSRkUFQUFCD59Xr9ej1eluGLqxt/1fqx/A48AxueryDHroPg3O/qvuS/CNtGl5HlZqUB0BBVilFueW4+8jvhRBCCNFuVJbAy3bI9PhrKjhZb/Xlqaee4rXXXiM8PBwfHx8SEhJqPV5YWMicOXN48803URSFhQsXMnXqVJKSkvDw8GjRNfPz8wHw9fVtbfgNstskaeLEiRw8eLDWsbvvvpvo6Gj+8pe/EBYWhqOjIxs2bGDmzJkAHD9+nHPnzjFq1Ch7hCxsQVHggCnVroHeSPUJG6lOklJ2wLA7bRNbB2YwGElLzjd/npqUS9SIht9cEEIIIYRoieeff574+PgGH58wYUKtz99//328vb3ZvHkz1113ncXXMxqNzJ8/n9GjRzNw4ECLn99cdpskeXh41PnC3Nzc8PPzMx+/5557ePzxx/H19cXT05NHHnmEUaNGceWVV9ojZGELKTsh9ww4uUP0tOY/r8eVsA04J8Ub6pN1tpCqcoP58wtJeTJJEkIIIdoTR1d1Vcce17Wi4cOHN/p4RkYGzzzzDAkJCWRmZmIwGCgpKeHcuXMtut7cuXM5dOgQW7dubdHzm8uuhRua8vrrr6PVapk5cybl5eVMmTKFd955x95hCWsy9Ubqf4NlS7+mCnc5SVCcA25+1o+tA7twIhcAvasD5SVVpJ7Is29AQgghhKhNo7Fq2pu9NFU4Yc6cOeTk5LBo0SJ69uyJXq9n1KhRVFRUWHythx9+mB9++IEtW7YQGhra0pCbpV1Nki7PYXR2dubtt9/m7bfftk9AwrYqy+DQ9+r9xnoj1cfVF/yjIPuEuhoVPdX68XVgpv1IMeND2fXTGfIySijOL8fNS/YlCSGEEKLtbNu2jXfeeYepU9XXaikpKWRnZ1t0DkVReOSRR/j+++9JSEigd+/etgi1Frv3SRJd2InVUJ4PnqHQ82rLn2/ulyRNZWsyGoyknVT3I/UeEoBfd7UMp2niJIQQQgjRViIjI/n00085evQoO3fuZNasWbi4uFh0jrlz5/LZZ5/x+eef4+HhQXp6Ounp6ZSWltooapkkCXsy9UaKuQW0Df8orjmczpTXt3A07bLGwOZ+Sb/ZKMCOKetcEZXlBvSuDvh3d6d7pDcAaTJJEkIIIUQbW7JkCbm5uQwbNow777yTefPmERgYaNE5Fi9eTH5+PnFxcQQHB5tvX331lY2iBo2iWFAsvQMqKCjAy8uL/Px8PD097R2OMCnKgoV9QTHA3N8goG+9wxRFYfLrW0jKLOLWK8J4dWbMpQezT8JbsWrPpKdT1NLggr1rzvLr98n0ivFn2kMxJO/N5Of3D+Eb4sZtz460d3hCCCFEl1NWVsbp06fp3bu3VfuDivo19v1u7txAVpKEfRz6Tp0ghQxrcIIEcDStkKTMIgA2Hc+k1pzeLwJc/cFQDmn7bR1xh2FKq+se5Q1ASPVK0sXUYkqLLN8kKYQQQgjR1cgkSdiHqapdE72RVuy/YL6fUVDO0bTCSw9qNJf2JZ2TfUmg7kdKPZkHQPcoHwBcPJzwCVYrz6Ql5Tf0VCGEEEIIUU0mSaLtZR6FtETQOsDAmQ0OMxoVViWq/QO8XBwBdTWplrAR6scU6ZcEkH2+iMoyA04uDviFupuPm/YlXUjKtVNkQgghhBAdh0ySRNszFWyInNJof6PdZ3NJzS/DQ+/AIxP6AJBw+STJVLzh3A7o3NvrmuVCdT+kkD5eaLUa8/GQ6tQ7qXAnhBBCCNE0mSSJtmU0wIGv1fuDf9/o0BWJaqrdNQODmDIgCIA9Z3PJL6m8NCh4COicoCQbLp6yRcQdSmp1E9mQ6lQ7E9O+pOzzRZTX/P4JIYQQQog6ZJIk2tbpLVCYCs5eEHVNg8Mqqoz8eDANgBuGdCfM15XIQHeMCmxJyro00NEZQoaq97v4viSjUSG1uj+SqWiDiZuXHq9AF1Aw91ASQgghhBD1k0mSaFsHquvZD5zZaMnuX5KyyCupxN9dz6gINSVvfLRaUz/heFbtwdJUFoCc80VUlFbh5KzDv8Z+JJNL+5Ly2jYwIYQQQogORiZJou2UF8GRler9pqraVRdsmD44GF313pq4qAAANp/IxGissf/IvC+paxdvuFCdahfcxxutru6vtikFz5SSJ4QQQggh6ieTJNF2jv0AlcXgGw6hVzQ4rLi8inVHMgCYMaS7+fjwXr64OenILqrgUGqNlDHTSlL2cSi5aJPQOwJz0YbqFaPLmY5npRRRUVbVNkEJIYQQQnRAMklqY0ajwd4h2E/N3kgaTYPD1h/NoLTSQC8/V2JCvczHnRy0XB3pD8CmYzVS7tz8wU+tfkfKb1YPuyNQjAppl/VHupyHrzOe/s7q2GTZlySEEEII61uwYAFDhgyx6DkajYbly5fbJJ6WkklSGykrLmL9h2/z0fwHqKrsgtXF8i/Aqc3q/ZhbGh1qSrW7fkh3NJdNpsb3Vfcl1e2XVJ1y10X3JWVfKKK8pApHvY6AHnX3I5mYVpOkFLgQQgghmqLRaBq9LViwoM5znnjiCTZs2GDVOBYvXkxMTAyenp54enoyatQoVq9ebdVrXE4mSW3EUe9M8u6d5GWkkfTbdnuH0/YOfg0o0OMq8OnV4LCLxRVsOaGuEl0/OKTO43HVk6T95/PIKSq/9ECP6pS7LrovKbU61S64j1e9+5FMQiJ9ao0XQgghhGhIWlqa+fbGG2/g6elZ69gTTzxhHqsoClVVVbi7u+Pn13AfzJYIDQ3l1VdfZc+ePezevZsJEyZwww03cPjwYatepyaZJLURnYMDMZOuBWD/2h/tHE0bU5RLDWQH39ro0B8PplFlVBjY3ZM+gXVXRIK8nOkX7IlyeSlw00pS6l6oqrBW5B2GqWhDQ/uRTEyPZ54toLKiC6d+CiGEEHamKAollSVtflMUpengqgUFBZlvXl5eaDQa8+fHjh3Dw8OD1atXExsbi16vZ+vWrXXS7Xbt2kV8fDz+/v54eXkxbtw49u7da9H3avr06UydOpXIyEiioqJ46aWXcHd3Z8cO22UQOdjszKKOQROnsGPZl1w4doSss6cJ6Nnb3iG1jbT9kHUMdHoYMKPRoSurG8jeMLh7g2PG9w3gaFoBCcezuHFoqHrQPxJcfKH0onq9sIYLQ3Q2ilEhtYn9SCae/s64++gpyi0n/VQ+YdG+bRChEEIIIS5XWlXKyM9Htvl1d96+E1dHV6ud76mnnuK1114jPDwcHx8fEhISaj1eWFjInDlzePPNN1EUhYULFzJ16lSSkpLw8PCw+HoGg4FvvvmG4uJiRo0aZaWvoi5ZSWpD7j6+9BlxFQCJXWk1ybSKFD1NbSLbgPO5Jew6k4tGA9PrSbUzMaXcbT6RhcFUClyj6bL9knJSiykvrsJBryOgZ+N/bDQazaV9SZJyJ4QQQohWev7554mPjyciIgJf37pvvk6YMIE77riD6Oho+vXrx/vvv09JSQmbN2+26DoHDx7E3d0dvV7PAw88wPfff0///v2t9WXUIStJbWzI5Kmc+PUXjv6SwNhZd6N3dbN3SLZlqISD36j3m+iNtGp/GgBX9vYjyMu5wXHDenjj4exAXkkliSl5xPasXj3pMRJOrIaUncAj1oi+Q0hNqu6PFOGFrpH9SCYhkd6c+C1DijcIIYQQduTi4MLO29t+L7WLg4tVzzd8+PBGH8/IyOCZZ54hISGBzMxMDAYDJSUlnDt3zqLr9O3bl8TERPLz8/n222+ZM2cOmzdvttlESSZJbSy030D8QnuQc/4chzdvZNi10+0dkm2d3AAl2eAWABETGh26wpRqN6ThVSQAB52WsVEB/HggjYTjmZcmSWE1msoqSqNlxjuTpvojXc6UkpdxuoCqSgMOjjobRSaEEEKIhmg0GqumvdmLm1vjb/jPmTOHnJwcFi1aRM+ePdHr9YwaNYqKCsv2kDs5OdGnj9ryJTY2ll27drFo0SLee++9FsfeGEm3a2MajYYhk6cBagEHSzbPdUim3kiDfge6hufkx9MLOZZeiKNOw7UDg5s8bb2lwEOGgs4JijMh93Srwu4oFKNiXhFqaj+SiVegC66eThiqjGSeKbBhdEIIIYTo6rZt28a8efOYOnUqAwYMQK/Xk52d3erzGo1GysvLmx7YQjJJsoN+Y8bj6OzCxdTzpBw+YO9wbKc0D45X17BvoqqdaRUprm8gXq6OTZ56XFQAAIcuFJBZWKYedHSG4CHq/S5SCvxiWjFlRZU4OGoJbGI/kknNfUkXZF+SEEIIIWwoMjKSTz/9lKNHj7Jz505mzZqFi4tlKX9PP/00W7Zs4cyZMxw8eJCnn36ahIQEZs2aZaOoZZJkF3pXV/qPGQ908gIOR5aDoRwC+0NQTIPDFEUxN5BtKtXOJMBDT0yoWgRi8/GapcBHqB+7SPEG0ypSUIQXOofm/zpLU1khhBBCtIUlS5aQm5vLsGHDuPPOO5k3bx6BgYEWnSMzM5PZs2fTt29fJk6cyK5du1izZg3x8fE2ilr2JNnNkMlT2b/uJ07u2kHhxWw8fP3tHZL11eyN1Mj+oL3ncrmQV4qbk45J/bo1+/RxUQEcOJ9PwvEsfjc8TD3Y40r49a0us5Jk6o/UPcrboueFVI9PT87HUGW0aIIlhBBCiK7nrrvu4q677jJ/HhcXV++2kQULFrBgwQLz50OHDmXXrl21xtx88821Pm9q+8mSJUssD7iV5JWRnfj36EVov4EoRiMH1q+xdzjWd/EUnPsVNFoYdEujQ02rSFMGBuFsQRGBuGj1XYgtSVlUGozqQVMZ8KyjUJpredwdiKJc2o8U0sz9SCa+wW44uztSVWkk82yhDaITQgghhOi4ZJJkR0OmqAUcDm74GUNVlZ2jsbIDX6sfe48Dz4YLMVQajPx4QC39fcOQhhvI1mdwqDc+ro4UllWx92z1hMg9EHzD1fspuxp+cieQm1ZCaWElOkct3Xp6WvTcWv2Skjr3ZFIIIYQQwlIySbKjPldciZu3D8V5uZzc9au9w7EeRamRatd4b6RtJ7PJKa7Az82J0RF+Fl1Gp9WYCzhsqrUvqboUeCffl2Sa3ASFe6FztPxXWfYlCSGEEELUTyZJdqRzcGTQxClAJyvgkPKbWoLb0Q36XdfoUFOq3XUxwTg0oxHq5cZXp9wl1CwF3qM65a6T70syVaazdD+Siel5aSfzMZrSFYUQQgghhEyS7C1m4jVotFrOHzlEdspZe4djHabeSP1vAKeGG4yVVhhYczgdgOstTLUzGRsZgEYDx9ILSc0rVQ+aVpIu7AFDZYvO294pisIFc38k7xadwzfEHb2rA5XlBrJSiqwXnBBCCCFEByeTJDvz8POnz3D1RX3i2p/sHI0VVJbB4WXq/SZ6I60/mkFJhYEwXxeG9fBu0eV83JwYGqY+d/OJ6pQ7/yhw9oaqUkjrnH2o8jJKKC2oQOegJbCXZfuRTLRaDcF9vAFIlX5JQgghhBBmMklqB0wFHI5s2UhFaYmdo2mlEz9DWT54dodeYxodau6NNLg7mkZKhDclrq+acrfpWHXKnVZ7qcpdJ92XZEq1Cwr3xMGCioCXk+INQgghhBB1ySSpHQgbEINPSCiVZaUc2bLJ3uG0jqlgQ8wt6mSlAXklFWw+oU5qmttAtiHjqydJ205mU15lUA+a9yV1zklSanV/JNMkp6VMqXqpJ/MxGhvvUSBEUwp+/pkLT/4ZQ36+vUMRQgghWsWuk6TFixcTExODp6cnnp6ejBo1itWrV5sfj4uLQ6PR1Lo98MADdozYNjQaDUMmTwXUAg5NNdRqt4qz4eQ69X5M46l2qw+lU2lQ6BfsSWQ3j1ZddkCIJ/7ueoorDOw+U70iYq5wt1OttteJ1N6PZFl/pMv5h7rj6KyjorSKnAuyL0m0nGIwkP7iSxSsWkX2u+/ZOxwhhBCiVew6SQoNDeXVV19lz5497N69mwkTJnDDDTdw+PBh85j77ruPtLQ08+2f//ynHSO2nQHjJuKg15Nz/hwXjh5u+gnt0aHvwFgFIUMhMLrRocv3XQBav4oE6t6auL7VpcBNKXfdh4HWEYoyIPdMq6/RnuRnllKSX4HWQUO33i3bj2Si1WkJjvAGZF+SaJ3SffswZGcDkPvFF1RlZTXxDCGEEJ3RggULGDJkiEXP0Wg0LF++3CbxtJRdJ0nTp09n6tSpREZGEhUVxUsvvYS7uzs7dlxKkXJ1dSUoKMh88/Rs3YvC9krv6kb/q8cDsK+jlgM3VbVrojdSal4pv525CMD0wa2fJMGllLtNplLgji4QPFi9n/KbVa7RXlyoTrUL6u2Fg1PL9yOZhER6AdIvSbROwdq15vtKWRk5H35ox2iEEEJYw+UZXZffFixYUOc5TzzxBBs2bLBZTK+++ioajYb58+fb7BrQjvYkGQwGvvzyS4qLixk1apT5+NKlS/H392fgwIE8/fTTlJQ0XtigvLycgoKCWreOYnB1yt3J37ZTlHvRztFYKPMYpO4DrQMMnNno0B8OpKIoMKKXL929Xaxy+asj/dFpNSRnFZNysfpnpEfnbCprmsy0dj+SiSllLzUpD0X2JYkWUBSFwnXrAfCZNQuA3C++pDIjs7GnCSGEaOdqZnO98cYbeHp61jr2xBNPmMcqikJVVRXu7u74+fnZJJ5du3bx3nvvERMTY5Pz12T3SdLBgwdxd3dHr9fzwAMP8P3339O/f38Abr/9dj777DM2bdrE008/zaeffsodd9zR6PleeeUVvLy8zLewsLC2+DKsIrBXOCF9+2M0GDi4cY29w7HMgeqCDX3iwc2/0aHmqnZDrbOKBODl4khsT/XFvrmxbFjnayqrKEqrm8heLqCnBw5OWsqKK7mYVmyVc4qupezgQarS0tC6uhL45ydxGTYMpaKCnPfft3doQgjRbimKgrGkpM1vlux9r5nN5eXlhUajMX9+7NgxPDw8WL16NbGxsej1erZu3Von3W7Xrl3Ex8fj7++Pl5cX48aNY+/evRZ/v4qKipg1axYffPABPj6t25PdHA42v0IT+vbtS2JiIvn5+Xz77bfMmTOHzZs3079/f+6//37zuEGDBhEcHMzEiRNJTk4mIiKi3vM9/fTTPP744+bPCwoKOtREacjkqaQeP8KB9T8zcsYtaHWtT6eyOaMRDnyt3m+iN9LJzEIOpxbgoNUwdWCwVcOI6xvAb6cvsul4FneO6nVpJSnzCJTmgYu3Va9nDwXZpRTnlaPVaegW7mWVc+p0WoLCvTh/LJfUpDz8urtb5byi6yisTrVzjxuHVq8nYN4jnLvrbvK+/hq/++7FMSjIzhEKIUT7o5SWcnxYbJtft+/ePWhcXa12vqeeeorXXnuN8PBwfHx8SEhIqPV4YWEhc+bM4c0330RRFBYuXMjUqVNJSkrCw6P5xbvmzp3LtGnTmDRpEi+++KLV4m+I3VeSnJyc6NOnD7GxsbzyyisMHjyYRYsW1Tt25Eh1ZeDkyZMNnk+v15ur5ZluHUnkyNG4enlTdDGH5N0dZAXkzC9QcAGcvSDqmkaHrqxeRRoXFYCPm5NVwzDtS9qenE1ZpQHcA8GnN6DA+d1WvZa9mFaRuvX2xNEK+5FMTKtSF6R4g7CQoigUrFWrWnpMngyA68iRuF5xBUplJdnvSaU7IYTozJ5//nni4+OJiIjA19e3zuMTJkzgjjvuIDo6mn79+vH+++9TUlLC5s2bm32NL7/8kr179/LKK69YM/RG2X0l6XJGo5Hy8vJ6H0tMTAQgONi6KxDtiYOjI4MmTGbn91+TuPYHIkdeZe+QmmbqjTTgJnB0bnCYoiis2K9Okq63QlW7y0UHeRDk6Ux6QRk7TuWoTWbDRkLuaXVfUuQkq1+zrZkq0FlrP5JJSKQPcJrUk3koitKq5r6iayk/fpzKc+fQ6PW4j1EbSGs0GvwfeZhzs+eQ9+13+N97L47du9s5UiGEaF80Li703bvHLte1puHDhzf6eEZGBs888wwJCQlkZmZiMBgoKSnh3LlzzTp/SkoKjz76KOvWrcPZueHXmdZm15Wkp59+mi1btnDmzBkOHjzI008/TUJCArNmzSI5OZkXXniBPXv2cObMGVauXMns2bMZO3Zsm2zWsqeYSdeg0Wg5d+gAOedT7B1O4yqK4cgK9X4TVe0SU/I4m1OCi6OO+P7drB6KRqNhfLRaCjzheHX54U7UVFbdj6RWtusead1c3G69PNE5aCktqCAvo/HiKELUZEq1cxtzNVo3N/NxtxEjcL3ySqislL5JQghRD41Gg9bVtc1v1n4j1K3G3/76zJkzh8TERBYtWsT27dtJTEzEz8+PioqKZp1/z549ZGZmMmzYMBwcHHBwcGDz5s385z//wcHBAYPBYI0vow67TpIyMzOZPXs2ffv2ZeLEiezatYs1a9YQHx+Pk5MT69evZ/LkyURHR/OnP/2JmTNnsmrVKnuG3CY8/QMJjx0BwP71P9k5miYc/QEqi9W0trARjQ41FWyYPKAbrk62WcSMq06523gsU92YaGoqe2EPGCptcs22UphTRlFuOVqthqAI6+xHMtE5as09l6QUuLCEqfS3Z3WqXU0BjzwMQN7331Nx/nybxiWEEKJ92LZtG/PmzWPq1KkMGDAAvV5PdnVfveaYOHEiBw8eJDEx0XwbPnw4s2bNIjExEZ2N9u/bNd1uyZIlDT4WFhZmUa5iZzNk8lSSd+/gcMIGrr51Nk7O1l0atRpzb6RboZF3JqoMRn44kAbAjCG2S7sZ3ccfR52GcxdLOJ1dTHhAtLpXqiwf0g+qTWY7KNMqUmAvDxz11v+DEBLlTWpSHhdO5DFgjKRGiaaVJydTcTIZHB1xj4ur87hrbCxuo0dTvG0b2YsXE/LSS20fpBBCCLuKjIzk008/Zfjw4RQUFPDkk0/iYkHKn4eHBwMHDqx1zM3NDT8/vzrHrcnuhRtE/XoOGoJ3UDAVpSUc29pOJ4sFqXAqQb0f8/tGh/56KofsonJ8XB25OrLxEuGt4a53YERvddNgwvEs0GohtHqFK6WDFMJogHk/UpRtyl52r97nlJqUZ1F5UNF1mVPtRl2JroEiOabVpPzlK6g4e7bNYhNCCNE+LFmyhNzcXIYNG8add97JvHnzCAwMtHdYTZJJUjul0WoZMnkaAIlrfmifL1oPfgMo0GMU+PZudKgp1W5aTDCOOtv+2MVFqb94m0z9kjrJviRzfyQrF20w6RbuhVanoTivnILsUptcQ3Qupqp29aXambgMGYLb2DFgMJC9+N22Ck0IIYSV3XXXXeTl5Zk/j4uLQ1EUvL29a41bsGCBudgawNChQ9m1axelpaWcOHGCm2++mTNnzjB//nzzGEVRmDFjRrNjSUhI4I033mjR19FcMklqxwaMm4SDk56sc2dIPX7U3uHUpiiQWCPVrhFllQZ+PpQOwA02TLUzMRVv2HnqIiUVVZf2JaXsVOPugAqySym8WIbGBvuRTByddHTrJfuSRPNUpKRQfvQo6HS4T5zY6NiARx4BIH/lSspPn26L8IQQQohWkUlSO+bs7k706HEAJK790c7RXCb9AGQdBZ0e+s9odOjGY5kUlVfR3duF2B6275AcEeBOqI8LFQYj20/mQPdY0DpAYRrkNa/cZHtjmrQE9vTAydl2WwlNpcVTu3K/JEWB1X+Btc902El1WzCl2rlecQUOTXQ+dxk0CPfx48FoJPudxW0RnhBCCNEqMklq54ZMngrAiR3bKM7LtXM0NZh6I0VPBRfvRoeuSLwAwPTBIWi1tu+/o9FozI1lNx3PBCdXCKouG99B9yVdqJ4kmZq+2oppknShK68kpe2Hne/C9jchs52t4LYjpqp2HpPjmzXe/+G56vN++IHy5GSbxSWEEEJYg0yS2rlu4X0I7tMXo6GKQ5vW2TsclaGyej8SENN4ql1+aSWbjqk9i2YMtX4D2YbU7JekKAr0qE6566D7klKrK9uFWLk/0uWCIrzQaDUU5pRReLHMptdqt5LWXrp/ZLndwmjPKtPTKdt/ADQaPCY1r0mzy4ABuE+aCIpC9tvv2DhCIYQQonVkktQBDJmiFnDYv241RqNtGmZZJHkjFGeBqz/0aXwvwppD6VQYjPTt5kF0UP3Vr2xhVLg/Tg5aLuSVcjKzCMKqizd0wJWkwotlFGSr+5GCbbQfycTJ2YGAHh7ApYlZl3NizaX7h5fbLYz2rLC6YIPL0KE4WlChKOBhtdJdwerVlJ04YZPYhBBCCGuQSVIHEHXl1Th7eFKYk8WpPbvsHc6lVLtBvwOdY6NDV+xXU+2uH9J2q0gALk46RoX7AdUpd6aVpIzDas+kDsQ0WQkIc8fJxfatzbp35ZS74my18TCo+9iyj0PmMfvG1A4VWphqZ+IcHY3H5MmymiSEEKLdk0lSB+Dg5MSg8eqLEbsXcCjNg2PVMTRR1S6zoIztyTkAXD+4bSdJAHF91ZS7TceywCMIvHsCCpzf3eaxtMal/Ui2L3oBalNZ6KLFG5LWAQoEDYKI6lVSSbmrpSo7m5I96kTSM96ySRJU703SaChcs4ay48etHZ4QQghhFTJJ6iAGx18LGg1nD+zjYuoF+wVyZAUYyiGgHwQPbnToyv2pKArE9vQhzNe1jQK8xFS8YdeZixSWVV5aTepgKXcXzE1kvdvkesF9vEED+VmlFOeVt8k1242k6lS7yCkwYIZ6X1LuailcvwEUBeeBA3HsbnlJf+eoKDyvvQaA7LfesnZ4QgghhFXIJKmD8AoMInzocAAOrP/JfoGYUu0G3wqaxivVrdyvNpC9oY1T7Ux6+bvR29+NKqPCtpPZl/YldaDiDUW5ZRRklaLRVE9e2oDexQH/UHegi/VLMlTCyY3q/agp0Pda0Dqqpe6zZMXD5FKqXcMNZJviP7d6NWndekoPH7ZWaEIIIYTVyCSpAxkyWS3gcChhPZXldqg8dvE0nNsOaNT9SI04lVXEgfP56LQapg0Kbpv46lEr5c60knR+Nxiq7BaTJUyrSP5hHujbYD+SSffqKnpdal9Syk4ozwdXP7W3losPhMepjx1ZYdfQ2gtDXh7Fv/0GgKeF+5Fq0kdE4DlN/XuW/dbbVolNCCFE+7BgwQKGDBli0XM0Gg3Lly+3STwtJZOkDqTX4GF4BXajvLiYY9u2tH0AB75WP4aPA6/G02xMq0hjIv3xc9fbOrIGmVLuEk5kogREg94TKosh45DdYrJEahv1R7rcpX1JXajCnamqXZ9JoNWp9yXlrpbCjZugqgp937449erVqnP5P/QQaLUUbdpE6cGO8fsohBBdjUajafS2YMGCOs954okn2LBhg1XjWLBgQZ1rR0dHW/Ual5NJUgei0WoZHK82l01c86Pa/6etKAocMKXa3dbEUIWVifZNtTMZ0dsXF0cdGQXlHE0vhtAr1Ac6yL6kC6b+SG1UtMEkpDq1Lze9hJKCija9tt2Y+iNFTbl0rO9Utcpd5mHITrJPXO1IS6va1Ucf3huv6dMByHrrzVafTwghhPWlpaWZb2+88Qaenp61jj3xxBPmsYqiUFVVhbu7O35+flaPZcCAAbWuvXXrVqtfoyaZJHUwA8fHo3N0JPNMMmlJbbhP4vwuuHgKHN0g+rpGhx66UMCp7GKcHbXE9w9qowDr5+yo46qIekqBd4B9ScV55eRnloIGQvrYtj/S5ZzdHfHr7gZ0kX1JuWch6xhodJeq2gG4+kLvcer9Ll7lzlBURPG2bQB4tmI/Uk3+Dz0IOh3Fm7dQmpholXMKIURHoSgKleWGNr9Z8iZ7UFCQ+ebl5YVGozF/fuzYMTw8PFi9ejWxsbHo9Xq2bt1aJ91u165dxMfH4+/vj5eXF+PGjWPv3r0Wf78cHBxqxePv72/xOSy6nk3PLqzOxcOT6KvGcnjzBvav/ZGQKNsuNZrt/0L92P960Ls3OnR5olp9b1K/brjr7f8jFhcdyIZjmSQcz2Tu5I7TVPZCkrqK5B/qjt618X5UthAS6UPOhWJST+bRJ7b5DUM7JNMqUo8rwcW79mMDZkDyBji8AsY+2daRtRtFCZtRKitx6t0bpz59rHJOp5498brhBvKXLSPrrbfp8eEHVjmvEEJ0BFUVRt5/dHObX/f+ReNw1Ousdr6nnnqK1157jfDwcHx8fEhISKj1eGFhIXPmzOHNN99EURQWLlzI1KlTSUpKwsPDo9nXSUpKIiQkBGdnZ0aNGsUrr7xCjx49rPZ1XE5WkjogUwGH47/+QklBGzRGrSqHQ9+p92N+3+hQg1FhlbmqneXlgW0hLkot3rDnbC75voPV1YKCC5CXYufIGmfqU9RW/ZEuF1LdVLZL9Esy7UeKrGeFJPo69Wcm4yDkJLdtXO1Izap2miYqW1rC/8EHwMGB4q1bKWnBO4tCCCHs6/nnnyc+Pp6IiAh8fX3rPD5hwgTuuOMOoqOj6devH++//z4lJSVs3tz8CeLIkSP5+OOP+fnnn1m8eDGnT59mzJgxFBYWWvNLqcX+b/MLiwX1iaJbeCQZp5I4tGkdI2642bYXPPEzlOWDRwj0Htvo0J2ncsgsLMfLxZFx1ZMTewvzdSUy0J2kzCK2nC1hetAgSEtUV5O8w+wdXoPM/ZGqJyttzXTdnNQiyoorcXZr+9WsNlFRAmd+Ue/X3I9k4uqr/tyf2qSm3I35U5uG1x4YS0sp+kX9HlljP1JNTmFheN94I3nffEPWm2/S86OPrHp+IYRorxyctNy/aJxdrmtNw4cPb/TxjIwMnnnmGRISEsjMzMRgMFBSUsK5c+eafY1rr73WfD8mJoaRI0fSs2dPvv76a+65554Wx94YWUnqoIZMVgs47F+3GqPRYNuLmXojxdxyqepXA1ZUF2yYOigYJ4f28+M1PlpNF+so+5KK88vJyyhR9yPZaZLk6umET5ArKJ18X9LpLVBVBl49IKCB9NUuXuWu6JdfUEpLcezeHef+/a1+fv8H/giOjpT8uoOSXbusfn4hhGiPNBoNjnpdm9+smQ0A4Obm1ujjc+bMITExkUWLFrF9+3YSExPx8/OjoqLlhaG8vb2Jiori5MmTLT5HU9rPq1hhkb6jx+Ls5k5BVgZnEm2YolKcc2m/xuBbGx1aXmXgp0NpgP2r2l3O1C9p8/EsjKGmfUntd5JkmpT4dXe36wqOOeWuM0+SkqpT7aImN9wgOXq6mnKXfkAtYNLFFK6xTaqdiWP37njPvAmArDffsvr5hRBC2M+2bduYN28eU6dOZcCAAej1erKzs1t1zqKiIpKTkwkOtl0vTpkkdVCOTnoGjFfTXhLX/GC7Cx36DoxVEDwEAvs1OjTheBaFZVUEeTozolfdnFR7Gt7TF3e9AznFFRxzqn4nPOMwlNsul7U1Lu1H8rZrHOZ+SZ11kqQoNfYj1ZNqZ+LmB72uVu93scayxooKiqo34Vo71a4m/z/+EY2jIyW//UbxjvZfWEUIIUTzREZG8umnn3L06FF27tzJrFmzcHFxsegcTzzxBJs3b+bMmTNs376dG2+8EZ1Ox223Nd6WpjVkktSBDY5X8zNP799LXnqabS5iqmrXRG8kgBXVVe2uHxKCVmv9d5tbw8lBy+g+ainwdSk6NbVKMaqlzdshU3+k7pH2KdpgYrp+dkoh5aVVdo3FJjIOq0U8HFyg95jGx3bRlLvibdswFhfjEBiIy+DBNruOY3Aw3r/7HQBZ1RWQhBBCdHxLliwhNzeXYcOGceeddzJv3jwCAy2rmnv+/Hluu+02+vbtyy233IKfnx87duwgIMB2+99lktSB+QSF0GtILCgK+9evtv4Fso5D6l41zWjgzEaHFpZVsv5oJgDXD25fqXYm4/vW3JdUnXJ3rv29Y11SUEFueglgv/1IJm7eerwCXFAUSDuZZ9dYbMKUatd7LDg28a5W9HTQaNWiHxdP2zy09qJw7ToAPOLj0Wht+1+G3x/vR+PkROmePZT8+qtNryWEEMIyd911F3l5eebP4+LiUBQFb2/vWuMWLFhAYo3ed0OHDmXXrl2UlpZy4sQJbr75Zs6cOcP8+fPNYxRFYcaMGQ1e+8svvyQ1NZXy8nLOnz/Pl19+SUREhHW+sAbIJKmDMxVwOLRpHZUV5dY9ualgQ2Q8uDc+U19zOIOKKiN9At0ZEOJp3TisJK56krT/fB5FgbHqwXa4L+nSfiQ3nN3tX1GuU+9LOlG93y6qGc1R3QOg52j1/tGVtoupHVEqKyncuBFQ9yPZmmO3bnjfqrYZyPqPrCYJIYSwH5kkdXC9hw7HMyCQsqJCTvy61XonNhrhwNfq/SYKNsClVLsbBofYZGO3NQR5OdMv2BNFgZ2GSPXg+d1g6+qAFkqtTrULsVN/pMt12n1JJRfh/G/q/cb2I9XUxVLuin/7DWN+PjpfX1yHx7bJNf3vuw+NszOliYkUb7Xi3zQhhBDCAjJJ6uC0Wh0xk9S9SVYt4HB2KxScB70XRF3b6NCswnK2nVSrlFzfzqraXW58dZW7laneoPeEiiJ1X0o7cqF6MtLdzql2JqaVpMyzhVSUdaJ9SSc3qPvSAvs3v19Wv+vVlLvUvZB71rbxtQPmVLuJE9HorNedvTEOAQH43Kq+MSOrSUIIIexFJkmdwKAJk9E5OJCenET6yRPWOakp1W7gjeDo3OjQHw+kYlRgSJg3Pf0ar5Vvb6Z+SZtPXkTpXt38LKX97EsqLargYmoxYP/9SCaefi54+DqjGBXST+XbOxzrMe1HirQgjcw9sMuk3CkGA4Xr1wNtk2pXk9+996BxcaHs4EGKLOjILoQQQliLTJI6AVdPL6JGqZW5Etf+1PoTVhRfKnPcjKp2y6sbyLa33kj1GRrmjaezA3kllaR5VVfqakdNZU0pbb4hbrh4ONk3mBrMKXfVpck7PKMBTqoTAKKamWpn0v8G9WMnT7kr3bsXQ04OWk9P3EaOaNNrO/j74zvrdgCyZTVJCCGEHcgkqZMwFXA4vn0LpYUFrTvZsR/VNDSfXhA2stGhZ3OKSUzJQ6uBaTG2a+hlLQ46LWOi1JS7beXVVVHa0UrShepJSHtZRTIxF2/oLBXuzu+C0lxw9oZQCycA/a4HNHBhN+Sl2CK6dqHAlGo3fjwap7afsPvecw8aV1fKjhyhqLp4hBBCCNFWZJLUSQRHRhPQK5yqygoOJ6xv3clMvZFiboUmijCsrF5FGt3Hn0CPxtPy2gtTKfCv0rup+0vyUyD/gp2jUl1qIts+ijaYmJraZpwpoKqifRW6aBFTA9k+E0HnYNlzPbpBz6vU+520saxiNFK4rnqSNKVtU+1MHHx88L3jDgCy3nwLxWi0SxxCCCG6JpkkdRIajYYhk6cBsH/d6pa/oChIg1MJ6v3Bv290qKIoLDdVtRvSvWXXs4Nx1StJu1MrqQwYoB5sB6XAy4oqyblQBLS/lSRPfxfcvJwwVimkn27lSmV7kFRd+ru5Ve0uZ0q566STpLKDB6lKT0fr6orb6NF2i8P37rvQurlRfuyYeX+UEEII0RZkktSJ9Bs9Dr2rG3kZaZw5sK9lJzn4jVrxK+xK8A1vdOiRtAKSs4pxctAyZUC3ll3PDgI89MSEegFwxnWQerAdNJU1pbL5BLni6tl+9iOBOgk3lSQ3lSjvsPLPQ8YhQAN9JrXsHKaUu/O/qefrZArWqpNI97g4tHq93eJw8PHBd85sALJlNUkIIUQbkklSJ+Lo7MyAOPVFX+LaHy0/gaJcSrVrRm8kU6rdpH6BeDjbv+mpJUyNZbeUVU8E28FK0oV21h/pcp2mqaxpFSlsBLj5tewcnsHQ40r1/pHOVeVOUZRLpb/buKpdfXznzEHr4UF5UhKFa9bYOxwhhBBNWLBgAUOGDLHoORqNhuXLl9sknpay6yRp8eLFxMTE4OnpiaenJ6NGjWL16tXmx8vKypg7dy5+fn64u7szc+ZMMjIy7Bhx+zc4Xu1pdGrvLvIzLfxepR+EzCOg019qmtkAo1Fh5X51knT94I6Tamdi6pf0RXp1Rb70Q1BeZMeILk0+TPt/2htTXOmnCzBUduB39E+YUu1aOQHoP0P92MlS7sqPHaMyJQWNszPuY8fYOxx0Xl74zpkDQNbbb6MYOsGeOCGE6CA0Gk2jtwULFtR5zhNPPMGGDRusHsuFCxe444478PPzw8XFhUGDBrF7926rX8fErpOk0NBQXn31Vfbs2cPu3buZMGECN9xwA4cPq809H3vsMVatWsU333zD5s2bSU1N5aabbrJnyO2eb0goPQYNAUXhwPrVTY6vxdQbqe814NL4asZvZy6Sll+Gh7MDcdUTjo4kJtQbXzcnTpZ5U+4aDIpBrVZmJ2XFlWSfb5/7kUy8u7ni4umEodJIxtkOui+psgxOV/fdsbT09+X6TVc/puyAgtTWnasdMafajbkaraurnaNR+c6ZjdbTk4qTyRSs/tne4QghRJeRlpZmvr3xxht4enrWOvbEE0+YxyqKQlVVFe7u7vj5tTBTowG5ubmMHj0aR0dHVq9ezZEjR1i4cCE+PrbLvrHrJGn69OlMnTqVyMhIoqKieOmll3B3d2fHjh3k5+ezZMkS/v3vfzNhwgRiY2P56KOP2L59Ozt22D81qj0bMkUt4HBw41qqKiqa9yRDlbofCZrVG2lFdardtQODcHbUtShOe9JpNYyN9Acg2WWgetCO+5LSTuaBok5E3LzstwekMRqNhpA+3kAH7pd0ZitUloBnd+g2sHXn8up+qUR+J0q5a0+pdiY6Dw/87r4LgGxZTRJCdBKKolBZVtbmN0t6zwUFBZlvXl5eaDQa8+fHjh3Dw8OD1atXExsbi16vZ+vWrXXS7Xbt2kV8fDz+/v54eXkxbtw49u7da9H36h//+AdhYWF89NFHjBgxgt69ezN58mQiIiIsOo8lLKx9azsGg4FvvvmG4uJiRo0axZ49e6isrGTSpEsbq6Ojo+nRowe//vorV155Zb3nKS8vp7y83Px5QUEHfce7FSKGjcDDL4DCnCxO7NxG/zHjm37SqU1QnAmufk1uZq+oMvLTwTQAZnSgqnaXGx8dyPLEVDaVhNMf7LovydwfqZ2m2pmERHqTvDeT1KRcoJe9w7FcUvWelsj4JsvbN0v/GWqfrSMr4MoHWn8+OytPTqYiORkcHXGPi7N3OLX43HknFz/+hIrTpyn48Ue8rr/e3iEJIUSrVJWX8585N7f5ded98i2OztZr2/LUU0/x2muvER4ejo+PDwkJCbUeLywsZM6cObz5ptocfOHChUydOpWkpCQ8PDyadY2VK1cyZcoUfve737F582a6d+/OQw89xH333We1r+Nydi/ccPDgQdzd3dHr9TzwwAN8//339O/fn/T0dJycnPD29q41vlu3bqSnpzd4vldeeQUvLy/zLSwszMZfQfuj1emImXQNYEEBB1PBhkG/A13jRRi2nMgiv7SSQA89I8Otu5zalsZGBqDRwE95PdUDKbvAaJ93qNv7fiQTU3xppwowGDrYviRFudQfqaWlvy/Xv/qF+rlfobDhv0sdRWF1qp3bVaPQNfM/rraic3fH9557gOq9SVVVdo5ICCEEwPPPP098fDwRERH4+vrWeXzChAnccccdREdH069fP95//31KSkrYvHlzs69x6tQpFi9eTGRkJGvWrOHBBx9k3rx5fPLJJ9b8Umqx+0pS3759SUxMJD8/n2+//ZY5c+ZY9E273NNPP83jjz9u/rygoKBLTpQGTZjMr99+QdqJY2ScTqZb70aWI8vy4Vj1ZKoZVe1WVBdsmD44BJ3WCu/G24mPmxNDw7zZfy6MSp0rjhWFauGKoEFtGkd5SSVZKYUAdI9sn5XtTHyD3dC7OVBeXEXW2UKCwr3sHVLzZR2HvLNqYZLwcdY5p1cohF4B53epKXcj77fOee2koDrVzrMdpdrV5Dvrdi5+9BGVZ8+Rv3IV3jfdaO+QhBCixRz0euZ98q1drmtNw4cPb/TxjIwMnnnmGRISEsjMzMRgMFBSUsK5c+eafQ2j0cjw4cN5+eWXARg6dCiHDh3i3XffZU51cR9rs/tKkpOTE3369CE2NpZXXnmFwYMHs2jRIoKCgqioqCAvL6/W+IyMDIKCgho8n16vN1fLM926IjdvHyJHXgXA/qZWk46sgKoyCIiG4CGNDi0qr2LdEfUd8xuGhFgjVLsa3zcQAzqSnKLVA+faPuUu7WQ+KOAV6IKbd/vcj2Si0dbYl9TRSoGbUu16XQ1ObtY7byepcldx7hzlR4+CTof7hAn2DqdeWjc3/O5VV5Oy33kHpbLSzhEJIUTLaTQaHJ2d2/ymsUa6eQ1ubo3/nzpnzhwSExNZtGgR27dvJzExET8/Pyqau28eCA4Opn///rWO9evXz6KJlqXsPkm6nNFopLy8nNjYWBwdHWuVEDx+/Djnzp1j1KhRdoyw4zAVcDi6dTNlRY2UtzZVtYv5fZP7NNYdSaes0khvfzcGde9AqwgNGB+t9kvaVGLql9T2xRtM/ZG6t9OqdpfrXt3H6UJHK95gKv3d2qp2lzOl3J3dBoUdt0WBKdXOdcQVONiwWlBr+dx2Gzo/PyrPnyd/RceemAohRFewbds25s2bx9SpUxkwYAB6vZ7s7GyLzjF69GiOHz9e69iJEyfo2bOnNUOtxa6TpKeffpotW7Zw5swZDh48yNNPP01CQgKzZs3Cy8uLe+65h8cff5xNmzaxZ88e7r77bkaNGtVg0QZRW/e+/fHv0YuqinIOb26gXn3uWfXFHRqIuaXJc5qq2l0/OMTq70TYQ/9gTwI89PxaGakesMMkybQi016byF7OVKI8LTkPo7H5FXLsqjRP3TcEre+PdDnvHtA9FlDgaMetctfeU+1MtK6u+N13LwDZ7yxGseCdSCGEEG0vMjKSTz/9lKNHj7Jz505mzZqFi4uLRed47LHH2LFjBy+//DInT57k888/5/3332fu3Lk2itrOk6TMzExmz55N3759mThxIrt27WLNmjXEx8cD8Prrr3Pdddcxc+ZMxo4dS1BQEMuWLbNnyB2KRqNhyOSpAOxf9yOKsZ6N9ge+Vj/2Hqvur2hETlE5vySpM//OkGoHoNVqGBcVwD5jH4xoIe8cFKS12fXLS6vIOle9H6mdF20w8Qt1x8nFgcoyA9nVe6naveSNai8s/yjw7W3983fwlLvKtDTKDhwAjQaPSY1Xt2wPfG69FV2AP5WpqeQt+97e4QghhGjEkiVLyM3NZdiwYdx5553MmzePwMBAi85xxRVX8P333/PFF18wcOBAXnjhBd544w1mzZplo6jtPElasmQJZ86coby8nMzMTNavX2+eIAE4Ozvz9ttvc/HiRYqLi1m2bFmj+5FEXf3GjMfJxYXctFTOHtpf+0FFuVTVrhm9kX46mIbBqBAT6kV4gLsNorWP8X0DKcaFZK2pyl3b7UtKO5mHooBngAvuPtYrx2lLWq2G4D5qqmWH2ZeUVJ1qZ+1VJJP+N6gfz26DokzbXMOGCtepq0guw4bhEND+m0NrnZ3xv08tkpH93nsYZTVJCCFs7q677qpVKyAuLg5FUepUol6wYAGJiYnmz4cOHcquXbsoLS3lxIkT3HzzzZw5c4b58+ebxyiKwowZMxq9/nXXXcfBgwcpKyvj6NGjNi3/De1wT5KwLidnF/qPnQjUU8Dh/G64mAyOrtBvepPnqplq15lcHemPTqthe0Uf9UAbNpU1NWXtKPuRTEwpdx1iX5LRCEnqJMDq+5FMfHpCyFBQjHB0lW2uYUMF1fuRPCfHNzGy/fD+/S04BAZSlZZG3rdtXx1KCCFE5yaTpC5gyGS1gEPy7t8oyM669IBpFanf9aBvfGUo5WIJu8/motGopb87Ey8XR2J7+rDH2Fc90IYrSRc6SH+ky5lKlaedzENp7/uSUvdCSTboPaGHDYu+mFPultvuGjZQlZVF6R6187lHfMeZJGn1evwe+CMAOe++h7FGE3EhhBCitWSS1AX4hYYRNiAGRTFyYP3P6sGqcjj0nXp/8O+bPMfK6t5Io8L96ObZMdLCLDG+byB7jNXFG9IOQEWxza9ZUXZpP1JHKdpgEtDDHUe9jvKSKnJSG6mc2B6YGshGjG+yUXKrmFLuzmyFYsuq9thT4YYNoCg4DxqEY0jHegPE++abcQgOpiozk7yvvrZ3OEIIIToRmSR1EaYCDgc3rsFQVam+cCzLA49g6N10Y82V1al2naVgw+XGRwdwAX/SFV91g/+FPTa/ZlpyPopRwdPfGQ/fjjXx1Oq0BEd0kH1Jpv5IkTZKtTPx7Q3Bgztcyp2p9LdHB0q1M9E6OeH/R3U1KfuD9zGWldk5IiGEEJ1FqyZJKSkppKSkWCsWYUMRw6/E3ceXkvw8TuzcDge+Uh+IuQW0ukafeyy9gOMZhTjptFwzMLgNom17fbt5EOzlwm5jlHqgDfYlpVb3RwrpYPuRTEKqUwRT2/O+pMJ0SKsuWBLZBpOADpZyV5WbS/HO34D2X/q7Id433YhjSAiGrGxyv/zS3uEIIUSjFKWdp6h3Etb4Pls8SaqqquJvf/sbXl5e9OrVi169euHl5cUzzzxDpXQ/b7d0Dg4MmngNAPtXr7iUghRza5PPNRVsGB8dgJeLDdOV7Eij0RDXN+DSJKkN9iWZih5072CpdiYhfbwBSD2Z137/6Juq2oUMA3fLyo22iCnl7vQvUJxj++u1UtHGTWAwoO/bFycbNuSzJY2TE34PPgBAzgcfYiwpsXNEQghRl6Oj+vqpRP5GtQnT99n0fW8JB0uf8Mgjj7Bs2TL++c9/MmqUugn6119/ZcGCBeTk5LB48eIWByNsK2biFHZ+/xUXkk6Q1duRgN79oVv/Rp9jNCo1Uu26t0WYdhPXN5A3d6mTJCXlNzRGI2htk5FaUVZF5tnq/UgddCUpsJcnDo5aSgsryU0rwTfEzd4h1WV6M8BWVe0u5xcBQYMg/SAc+wFi57TNdVvInGo3pWOuIpl4z5hBznvvU3n+PLlffInfPX+wd0hCCFGLTqfD29ubzEy1TYSrqysajcbOUXU+iqJQUlJCZmYm3t7e6HSNZ0s1xuJJ0ueff86XX37Jtddeaz4WExNDWFgYt912m0yS2jF3Xz/6XDGKEzu2kpgbQvwNTa8i7T2Xy4W8Utz1DkyIboN34u1odB9/HtX2oljR41ZeAFlHodsAm1wr/ZS6H8nD1xlPf8u6TrcXOgct3cK9uHA8l9Sk3PY3Saoqh1MJ6v22miSBmnKXflBNuWvHkyRDURHF27cDHTfVzkTj6Ij/Qw+R9te/kvPhh/jc+nu0bu3s51EI0eWZen2aJkrCdry9vVvdW9XiSZJer6dXr151jvfu3RsnJ6dWBSNsb8iIGE7s2MrR/EDGRkxF38T45YkXAJgyIAhnx5bPxjsCd70Dsb0DSDzbh9G6w3Buh80mSaZ9PCEdrPT35bpHeXPheC4XkvIYOC7U3uHUdnY7VBSBezcIGtx21x1wI2x8AU5thpKL4Orbdte2QNGmBJTKSpzCw9H36WPvcFrN6/rpZL/3LpVnz3Fx6ef432/bJoNCCGEpjUZDcHAwgYGBskXFhhwdHVu1gmRi8STp4Ycf5oUXXuCjjz5Cr1dfYpeXl/PSSy/x8MMPtzogYVuhpbvwcyomp8KNw3sOMuzaXg2OrTQY+fFAGtB5q9pdbnzfQHafiWI0hyFlJ1xxj02uc2k/krdNzt9WTKmCqUnqvqR2lTpg2o8UGW+ztMl6+UVAt0GQcRCO/QjD7my7a1ugI1e1q4/GwYGAhx4i9S9PcXHJEnxuvw2de+P934QQwh50Op1VXsQL27L4lcO+ffv44YcfCA0NZdKkSUyaNInQ0FBWrVrF/v37uemmm8w30c4YjWgOfsNgH3Xis3/tj41uuN+alE1uSSX+7nquivBrqyjtKq5vIHuqizcYz9mmeENluYHMswUAhER2zKINJt16e6J10FCSX0F+Zqm9w6ntRBuV/q6PqYBDO61yZywpoeiXX4COn2pXk+e0aTj17o0hP5/czz6zdzhCCCE6MIsnSd7e3sycOZPrrruOsLAwwsLCuO6667jpppvw8vKqdRPtzNltkJ9C/8AyHJ2duZh6npTDBxscvqI61e66mGAcdF2jpVZEgBsZnoMwKhq0eWfVEtJWln4qH6NBwd1Hj6d/x+qPdDkHRx3denkC7axfUk4yXEwGraPaRLatDZihfjyVoKbctTNFv2xFKSvDMTQUfb9+9g7HajQODvjPnQtAzn8/wlBYaOeIhBBCdFQWp9t99NFHtohDtIX9ag8Rfcz19A+KZv+6n0hc+wM9BsbUGVpSUcXaIxlA10m1AzVfeER0b47vDaOf5py6L8n0gtdKTJOJkCjv9pWe1kLdo3xIO5nPhaRc+l/dTn5WTKtIPa8CvUfbX98/EgIHQOZhOL4ahs5q+xgacSnVbnKn+BmsyfPaa8hevJiK5GQufvI/Ah6ea++QhBBCdEAtXh7Iyspi69atbN26laysLGvGJGyhouRS6s/gWxk8eSoAJ3ftoPBidp3h649mUlJhoIevK0PCvNsuznZgfPSlfklKivWbyl6obiLbvYOn2pmY9yWdaEf9kk78rH5sy6p2l2unKXfG8nKKEhIA8Owk+5Fq0uh05onRxU8+wZCfb+eIhBBCdEQWT5KKi4v5wx/+QHBwMGPHjmXs2LGEhIRwzz33SIOsJlwsu8jPZ362z8WP/ahW+vLuCWFXEtCjF92jB6AYjRxYv6bO8BX71FS7G4aEdLp3mpsyKtyfRE00AGWntlv13JUVBjLOVO9H6uBFG0yCwr3QajUU5ZZTmFNm73CgvFCtbAf22Y9kYlqBTN4EpXn2i+Myxdu2YywuxqFbN5xj6q4idwYeU6agj4zEWFjIxU8+sXc4QgghOiCLJ0mPP/44mzdvZtWqVeTl5ZGXl8eKFSvYvHkzf/rTn2wRY6eQVZLFtGXTeGrLU5zKP9X2Aez/Qv04+FZzpa8hU6YBcHDDzxiqqsxDc4sr2HxCXR3sSql2Ji5OOggbCYBT1iF1Fc5KMk7lY6xScPNywiugY/ZHupyjXkdgLzWlzVS1z66SN4GxEnzDwd+Opa0D+kJAPzWW46vtF8dlzKl28fFo2rLqXxvSaLX4P6JWW734yf+oys21c0RCCCE6Gov/h/zuu+9YsmQJ1157LZ6ennh6ejJ16lQ++OADvv32W1vE2CkEuAZwRdAVGBQDi/YsatuLF6bDqU3q/Zjfmw9HjhiFq5c3xXm5nNx1qZLbT4fSqDIqDAjxpE+gHfZztAOD+g8kXfFBp1RB6l6rnfeCeT+ST6daoTNV6Us9mWffQACS7FjV7nLtLOVOqaykcJP6t6CzlP5uiMekSeijozEWF3Pxo4/tHY4QQogOxuJJUklJCd26datzPDAwUNLtmjA/dj46jY6NKRvZm2G9F95NOvgNKEZ1dcQvwnxY5+BIzKRrAEhc+4P5+IrEVKBrriKZxEV3M+9LKrdiyl1qJ+mPdDlT6mDqCTu/Y280QtI69X5UOyhtbU652whl9t8bU7zzN4z5+ej8/HCNjbV3ODal0WoJMK0mffaZrCYJIYSwiMWTpFGjRvH3v/+dsrJLew9KS0t57rnnGDVqlFWD62zCvcK5MfJGABbuWdh2m9yrq9ox+NY6D8VMvAaNVsv5I4fITjlLal4pv52+iEYD0wd33UlSL383zrgMAiD/xFarnLOq0kDGaXU/UveozlG0wSQ43AuNBgqyyyjKteO+pPT9UJQBjm7Qc7T94jAJ7Af+fcFQ0S5S7sypdhMnoukCjQzdJ0zAuX9/lJISLi5ZYu9whBBCdCAWT5LeeOMNtm3bRmhoKBMnTmTixImEhYWxfft2Fi1q4zSyDuihwQ/h4uDCgawDbDi3wfYXTD8IGYdA5wQDbqzzsIefPxGx6v6b/et+YtV+dRVpRC9fgr06x56ZltKHXwmAe+YedYWilTJOFWCoMuLq6YRXYOf63jq5OBDQox3sSzqhTgKIGA8OevvFUZNpNenICruGoRgMFG5Q/+Z4dKIGso3RaDSX9iYt/ZyqnBw7RySEEKKjsHiSNGjQIJKSknjllVcYMmQIQ4YM4dVXXyUpKYkBAwbYIsZOJcA1gNn9ZwPwxt43qDRW2vaCplWkqGvApf7VC1MBhyNbNrJqz2kAbhjS3bZxdQDRQ0ZTouhxNRahZB1r9flM+5G6d5L+SJczlwK3Z1NZ836kdjQJMO1LOrkBygrsFkbJnj0YcnLQennhNnKE3eJoa+5xcTgPGoRSWkrOh7KaJIQQonksmiRVVlYSERHB2bNnue+++1i4cCELFy7k3nvvxcWlc70zbkt3D7wbX2dfzhac5bsT39nuQoYqOPC1en/wbQ0O6zFwMD4hoVSUlsLJPTjqNEwdFGS7uDqIKyK6cRB1D1faoYRWn8+0Xyekk6XamZi+LrtNkoqy4EL1Xr/2NEkK7A9+kWAov9S/yQ4K16p7tTzGj0fj6Gi3ONqaRqMhYN4jAOR+/jmVmZl2jkgIIURHYNEkydHRsdZeJNEybo5uPDj4QQAW719McWWxbS50KgGKM8HVD/pManCYRqNhSHVz2ZiCQ4yLDMDb1ck2MXUgzo46sryHAFDQyn1JVZUG0s37kbxbGVn7FNLHCzSQl1FCcX552wdwch2gQFAMeAa3/fUbotHYPeVOMRopXFc9SeoiqXY1uV19NS5DhqCUl5Pz4Yf2DkcIIUQHYHG63dy5c/nHP/5BVY2+OsJyM6Nm0tOzJxfLLvLx4Y9tcxFTb6SBN4ND45OefmPGU6V1wK8yl3g/G03aOiDXPurmf+/s1lUjzDxTgKHSiIunE97dXK0RWrujd3XEP9QdsNNq0onqVLuodlD6+3KmlLukdWqz2zZWduAAVRkZaF1dcRt9VZtf395q7k3K+/IrKjMy7ByREEKI9s7iSdKuXbtYtmwZPXr0YMqUKdx00021bqJ5HLWOPDrsUQA+OfwJWSVZ1r1AWQEcqy7rXU9Vu8sdvVjFMbdIAJyTdjQxuuvoe8VEjIqGIEMaBVkXWnweUzGD7pGdcz+SSUgfb8AOkyRDpVpmG9pHf6TLdRsIvhHVKXdr2vzyBdWpdu5xcWj17aSgRRtzu+oqXGJjUSoqyHn/A3uHI4QQop2zeJLk7e3NzJkzmTJlCiEhIXh5edW6ieab1GMSMQExlFaVsnj/Yuue/MgKqCoD/ygIGdrk8JWJqRz0GAjAqd2/UpR70brxdFDdg4I5q+sBwPFd61p8HtMkyVTcoLMy90tq60nSuR1QXqCmlnYf1rbXbo5aKXfL2/TSiqJcKv09pR1OINuIRqMh4BF1b1Le119TmZZm54iEEEK0Zw6WPuGjjz6yRRxdkkaj4fHYx7nr57tYlrSMO/rfQbhXuHVOXrM3UhMrF1UGIz8cSCVb749bWB+KU05ycOMaRs1suNhDV5LrN4zeWWcpPrkNuMvi5xsqjWScUhuJdrb+SJczTQIvphZTWlSBi3sb7W2rWdVO2077//S/AX5ZWJ1yVwR69za5bPnRo1SeP4/G2Rn3MVe3yTXbK7crR+J6xRWU7NpF9nvvEbxggb1DEkII0U5ZvJIEkJ2dze7du9mzZw850neiVWK7xTI+bDwGxcCiPVbqM5V7Fs5uBTQw6JYmh29LziG7qAJfNydGT78egAPrf8ZoMFgnng7OI0rdl+R3cR9Go+UNgDPOFlBVacTFwxGf4M65H8nExd0J3xA3oI1Xk0z9kdpTVbvLBcWAT291hTep7VLuCqpXkdzHjEHr2rl//prDvDfpu2VUXmh5Cq0QQojOzaJJ0uHDhxk7dizdunVj5MiRjBgxgsDAQCZMmMCxY63vI9NVzR82H61Gy8aUjezL3Nf6Ex6sLvvdewx4hzU5fEWi+kLhuphg+l01BhdPL4ou5pC8e2frY+kEeg6ZCEBf5RSHzlq+4Tu1RqpdZ96PZNLm/ZJyz0D2cdDoIGJC21yzJexU5c5c+rsLVrWrj9uIEbiOuhIqK8l+9z17hyOEEKKdavYkKT09nXHjxpGVlcW///1vfvrpJ3788Uf+9a9/kZaWxtixY8mU/hMtEu4dzk2RatGLhbsXoiiWr1aYKUqNVLum0+XKKg2sOZQOwA1DQnBwdGTQBPXFVOLaH1seRyfi5N+bfJ0vThoDx/dutvj5F0z9kSI7d6qdSZtPkkyrSD1GgYt321yzpfrPUD+eWAsVtq8iWX7yJBWnTqFxdMR9fJzNr9dRmPcmff89FSkpdo5GCCFEe9TsSdLrr79Oz5492bdvH48++ihTpkzhmmuu4fHHH2fv3r2EhYXx+uuv2zLWTu2hwQ/h4uDC/qz9bDi3oeUnurAHck6Coyv0m97k8A1HMymuMBDq48KwHuqL+MGTrkWj0XLu0H5yLsgLCDQaCgJiASg9td2ipxqqjKSb9yN5Wzuydsk0Sco+X0RZcaXtL2hKXYvqACslwYPBuydUlULSWptfzpRq53bVVejc22YPVEfgOmwYbqNHQ1UV2YvftXc4Qggh2qFmT5LWrVvHX/7yF5ydnes85uLiwpNPPsmaNW1f2razCHANYHb/2QC8sfcNKo0tfHFp6o0UfR3oPZocbkq1u35wiDkVzDMgkPDYK9TTrfupZXF0Mt591Q3v3Qv2k1PU/EapmWcLqaow4uzmiG+wm63Ca1fcvPRqLygF0pLzbXuximI4/Yt6vz2W/r5czZS7w8ttfjlJtWtYQPXepPwVK6g4e9bO0QghhGhvmj1JOnXqFMOGNVxad/jw4Zw6dcqii7/yyitcccUVeHh4EBgYyIwZMzh+/HitMXFxcWg0mlq3Bx54wKLrdBR3D7wbX2dfzhacZdmJZZafoKoCDn2n3m9Gb6T8kkoSjqv9mW4Y0r3WY0PipwJwOGEDlWVllsfSyXhEjgFgmDaJLSeavy8pNak61S7KG4228+9HMjGn3FWnGtrMqc1q7yHvHhDQ17bXshZTyl3SWqgosdllKs6do/zYMdDpcJ8w3mbX6ahchgzBbdxYMBjIfsfKLRiEEEJ0eM2eJBUWFuLp6dng4x4eHhQVFVl08c2bNzN37lx27NjBunXrqKysZPLkyRQX187Vv++++0hLSzPf/vnPf1p0nY7CzdGNBwarE8B39r9DcaWFexaS1kJpLrgHQXhck8NXH0qjwmAkOsiDvkG1V516xgzFOyiYitISjm5NsCyOzig4hkqtHh9NEUcO7G3207pKf6TLtdm+JHPp7ylNlrpvN0KGqpO6yhI42fLeW00x9UZyGzkCB5+usR/OUgEPV68mrVpF+anTdo5GCCFEe2JRdbvCwkIKCgoavFlacODnn3/mrrvuYsCAAQwePJiPP/6Yc+fOsWfPnlrjXF1dCQoKMt8am6x1dDdH3UxPz55cLLvIJ4c/sezJplS7mFua1StmRWIqANcPCanzmEarZXD1alLimh9aV0yiM9A5UhowBIDKM79iaEYpcIPBaE436+z9kS5n2n+Vda6QitIq21xEUdSeQwBRHSDVzkSjUXsmgU1T7grWVDeQlVS7BrkMGoT7+PFgNJK9WFaThBBCXNLsSZKiKERFReHj41PvrW/f1qe65OerLyh9fX1rHV+6dCn+/v4MHDiQp59+mpKShlNUysvL60zeOhJHrSOPDnsUgI8Pf0xWSVbznlhyEU5Uv6vejKp26fll7Dit9ri6fnDdSRLAgLhJODg6kXXuDKnHjzYvjk7MvY/aL2lA1RESU5pOI8s6W0hVuQG9mwN+IV1jP5KJu48znv7OKAqknbLRvqSMQ1BwARxcoFcHa5La/0b144k1UFlq9dNXpqZSdvAgaDR4TJxo9fN3Jqa9SQU//EB5crKdoxFCCNFeODR34KZNm2wZB0ajkfnz5zN69GgGDhxoPn777bfTs2dPQkJCOHDgAH/5y184fvw4y5bVv2fnlVde4bnnnrNprLY2qcckYgJiOJB1gMX7F/PsqGebftKh78BYCUGDoFv/Jof/cCAVRYErevkQ6lN/g0kXdw+irx7HoU3rSFz7I92jmz5vZ6bteSVsg1jtCb4/nkVsT99Gx5tSzUL6dK39SCYhUT4UZKeReiKPngP8rH8B05sC4ePA0cX657el7sPAKwzyU+Dk+mZVorRE4Tp1hc0ldhgOAQFWPXdn49y/Px7xkyhct57st9+m+7//3eYxJGUUsnDtCR4aH0FMqHebX18IIURdzZ4kjRs3zpZxMHfuXA4dOsTWrVtrHb///vvN9wcNGkRwcDATJ04kOTmZiIiIOud5+umnefzxx82fFxQUEBbWdEPV9kSj0fB47OPc9fNdLEtaxh397yDcK7zxJ1nQGwlqptp1b3TckMnTOLRpHSd2bGP8nPtw9fJu1vk7pVC14l+4Np29R0/A5MZXT037kbpaqp1JSB9vjm1PMxevsDpTCe3IDphOZkq5+/UtNeXOypOkguqqdp6Satcs/g8/TOG69RSs/hm/Bx7AOSqqza5daTDyyBf7OJZeyIW8UlY+PLpLNJ0WQoj2zqI9Sbby8MMP88MPP7Bp0yZCQ0MbHTty5EgATp48We/jer0eT0/PWreOKLZbLHFhcRgUA4v2LGp8cHYSXNgNGh0MvLnJcydnFXHwQj4OWg3TBgU3OrZbeB+C+/TFaKji4Ebb93Vp11x9qfJTJ0ZuGXvILGi46p/RYCTtZB7Q9Yo2mJj2JWWeKaSy3GDdk5dchPO71PsdcZIENRrL/gyV1qsgWZWVReletbiIR3y81c7bmTn37YvHlCmgKGS//U6bXvv9Lac4ll4IwMEL+Ww9md2m1xdCCFE/u06SFEXh4Ycf5vvvv2fjxo307t27yeckJiYCEBzc+Iv7zuCxYY+h1WjZmLKRfZn7Gh544Cv1Y5+J4NGtyfOaVpHGRPrj6+bU5PjBk9UCDvvXrcZotPKL3Q7GoeeVgJpyl3Ci4f1iWSlFVJYb0Ls64BfaNZt4evg54+6jx2hUzA11rebkelCMEDgAvDvWSrFZ6HDwDIWKIkhuRQPpyxSuXw+KgnNMDI5d4O+ktfjPfQg0GgrXrKHs2LE2uebp7GIWbUgCIKqb+ndicYLsixJCiPbArpOkuXPn8tlnn/H555/j4eFBeno66enplJaqG5mTk5N54YUX2LNnD2fOnGHlypXMnj2bsWPHEhMTY8/Q20S4dzg3Rd4EwMLdC+uvMGc0wv7qSVIzeiMpisLK6gayl/dGakjfUWNw9vCkMCeLU3t2NS/4zqqHOkkarj1BwvHMBoddqO4PFNzHG20X3I8EatpoSPVqktVLgZv2I0V10FUkqE65u169b8UqdwXVpb89J8sqkiWco6LwvPYaALLeesvm11MUhb8uO0hFlZExkf78964rcNBq2J6cQ2JKns2vL4QQonF2nSQtXryY/Px84uLiCA4ONt+++kp90e/k5MT69euZPHky0dHR/OlPf2LmzJmsWrXKnmG3qYcGP4SLgwv7s/az4Vw97zaf2w7550DvCX2nNnm+A+fzOZNTgoujjvj+Ta86ATg4OTFovPqCK3HtjxbF3+mEqemeAzWn2XkilUqDsd5hpkmBKeWsq+oeqe7HsuokyVClriSB2h+pIzOl3B1fbZWUu6rcXEp+U9/IkNLflvOfOxc0GorWb6D08GGbXuub3ef59VQOzo5aXpoxiFAfV/MbV4sT6k8nF0II0XYsniR99NFHjZbgtoSiKPXe7rrrLgDCwsLYvHkzOTk5lJWVkZSUxD//+c8Ou8+oJQJcA5jdfzYAi/YuotJYWXuAqTdS/xuaVeHLlGoX378bbvpm1+1gcPy1oNFw9sA+ctMuNPt5nY5vOIpbAHpNFb0rTrDnbN2iBEajQpqpsl0X3Y9kYvr6M04XUFVppVTN87ugLA+cvc3FNDqs0CvAIwQqCuFU6yuIFm3cCAYD+uhonHr0sEKAXYs+IgLP664DIPutt212nazCcl76SW2r8Hh8FD381AqjD4xTC/SsOZzBycxCm11fCCFE0yyeJD311FMEBQVxzz33sH37dlvEJC5z98C78XX25UzBGZadqFH6vKIEDq9Q7zejqp3BqLDqgDpJuqGeBrKN8QoMInzocAD2r/vJoud2KhoNmurVJDXlru6+pOyUQirKDDg56/AP82jrCNsVr0AXXL2cMFQZyThtpZ5lSdWpdn0mga75E/12Sau1asqdKdXOQ1LtWsz/oQdBq6Vo0yZKDx60yTWeW3WY/NJKBnb35A+jL+3FjezmweTqFf53N5+yybWFEEI0j8WTpAsXLvDJJ5+QnZ1NXFwc0dHR/OMf/yA9Pd0W8QnAzdGNBwY/AMA7+9+huLJYfeD4T+o70N49oMeoJs/za3IOWYXleLs6MibS8t4ppgIOhxLWU1luvWpcHU6PGsUb6tmXZCr9HRzZdfcjmWg0GvNqktVS7k5UV1mMusY657M3c8rdT1BV3uLTGAoLKd7+KwCeUzp4GqId6Xv3xmu6WpI96803rX7+DUcz+OFAGjqthldvisFBV/u/4Qfi1NYWy/ddIDXP+o2GhRBCNI/FkyQHBwduvPFGVqxYQUpKCvfddx9Lly6lR48eXH/99axYsQKjsf59GqLlbo66mZ6ePblYdpFPDn+iHjT1Roq5VX1Hugkrqgs2TB0UjJOD5dvReg0ehldgN8qLizm2fYvFz+80wi5Nko6lF9R5IWPejxTZNfsjXa579STJNHlslbwUyDwMGq1azbEzCBsJ7kFQXgCnElp8mqKEBKisxCkiAn09PeRE8/k/9CDodBRv+YXS6oqq1lBUXsUzyw8BcM/VvRnY3avOmGE9fLgy3Jcqo8IHv8hqkhBC2EurCjd069aNq6++mlGjRqHVajl48CBz5swhIiKChIQEK4UoABy1jswbOg+Ajw9/THbW0Utlg5tR1a6s0sDPh9TVvhsGW5ZqZ6LV6hgcr64mJa75sf5qe11B8GBwcMZXU0S4Jq1Wyp3RqJgnSSFdvGiDSUj1ZDHjVD6Gqla+gWJqIBs6Alx9WxlZO2GllLtCSbWzGqeePfGacQMAWW9ar9Lda2uOk5ZfRpivC49Narhh7UNxfQD48rcULhZXWO36Qgghmq9Fk6SMjAxee+01BgwYQFxcHAUFBfzwww+cPn2aCxcucMsttzBnzhxrx9rlxfeMJ8Y/htKqUhZvW6D2iQkdAX5Nv2uccDyTwvIqQrycuaJXy19cDoibhM7RkczTyaSfPNHi83RoDk4QMgxQV5M21Ui5yzlfREVpFY7OOgLCumZ/pMv5BLvi4uFIVaWRzDOt3JdkmiR15NLf9TGn3P0IVZa/KDaWlFD0y1YAPKWqnVX4P/ggODhQvG0bJdXNeVtj77lcPvn1DAAv3zgIFyddg2PHRPozIMST0koDH28/0+prCyGEsJzFk6Tp06cTFhbGxx9/zH333ceFCxf44osvmDRpEgBubm786U9/IiUlxerBdnUajYbHhz8OwHd5Rzjl6ACDf9+s55qq2k0fEtKqfTKunl70HTUGgMQ1P7T4PB1ej+riDZoTbDuZTXmVWrnN3B8pwhutzq4V9tsNjUZDSB9vAFJP5rX8RJWlcGqzer+jl/6+XI8rwb0blOXD6c0WP71oyy8oZWU4hoWhj462QYBdj1NoKN433gi0fm9SRZWRp787iKLATUO7N7knVKPRmFeTPtl+huLyqlZdXwghhOUsfhUXGBjI5s2bOXToEPPnz8fXt+6qREBAAKdPn7ZKgKK22G6xxAXEYtDAIl9fGHBTk88pKKtkwzF1teOGwc1rINuYIVOmAXD8118oKchv9fk6pOp9SSMdTlBSYWD3GXVyJP2R6mduKtuafUmnf4GqUvDsDt0GWCWudkOrg34tT7mrmWqn0XTtYiHW5P/AH8HRkZJfd1D8228tPs/7W5I5nlGIr5sTz1zXv1nPuWZgEL393cgvreSL3861+NpCCCFaxuJJ0pIlSxg1qvFKahqNhp49e7Y4KNG4xxRPtIrCRldn9hWdbXL8z4fSqagyEhnoTr/g1pekDoqIolt4HwxVVRzatK7V5+uQwkYA0ItUfChg07FMFNmP1CBThbu05HyMDTTgbZKp9HfkZOiME4H+6h4Yjv0AhsrGx9ZgLC9XizYgqXbW5ti9O943zwQgu4V7k05lFfGfjWpz2L9d1w9fN6dmPU+n1fDHsWrfpA9/OW1erRZCCNE2LJ4kzZs3j//85z91jr/11lvMnz/fGjGJxhiqCD/6MzcWqmXAF+5e2GQBhZWJl3ojWeNdZo1Gw5DJ6mrS/nWrMRq74H/err7g3xeAWG0Sm45nkpNaRHlJFY56HQE9unZ/pMv5hbijd3WgstxA1rkiy0+gKDVKf3eyVDuTnleBW6DaKNeClLvibdsxlpTgEBSE86BBtouvi/L/4x/RODpSsmsXxTt2WvRco1Hh6WUHqagyMjYqgBlDLFvJv3FYdwI99KQXlLFiX6pFzxVCCNE6Fk+SvvvuO0aPHl3n+FVXXcW3335rlaBEI04nQFEGD5VpcNE5sz9rPxvPbWxweGZBGduTswG43gqpdiZ9rxqDs5s7BVkZnEls/abmDql6X9IVuhMkZxVzaJ+a0hgc4YVO9iPVotFqCK7el3QhKdfyE2Qdg/xzoNND77HWDa690Oqgn9qfx5KUO3OqXXw8mma0AhCWcQwKwvuWWwB1b5IlVT2/3p3CztMXcXHU8dKMgRa/SaV30HHvGLXZ7LubkzEYu2hFUSGEsAOL/0fNycnBy6tubwdPT0+ys7OtEpRoRHVvpMABM5k9QK0g+MbeN6g01p+e88OBNIwKDOvhTQ8/V6uF4ah3ZkCcWqyjyxZwCFMnSeOckwE4flAtBS6pdvUz7dNqUVPZE9Wpdr3HgJOb1WJqdyxMuVMqKijcqL5J4imlv23G7/770Tg5UbpnD8XbtzfrOZmFZbz801EA/jQ5ijDflv39vX1kTzydHTiVXczaw9K0XQgh2orFk6Q+ffrw888/1zm+evVqwsPDrRKUaEBZARytnpDE3MrdA+/G19mXMwVnWHZiWb1PWbHflGpnvVUkk8GT1Z5Jp/fvJS89zernb/eqizf0qTqJk1JJWWoJAN2jpIlsfcz7kk7mY7T0HXFT6e/OVtXucj1Hg6s/lObC6aYbNhfv/A1jQQE6Pz9chg1rgwC7JsdugXjfqlYSzf5P81aTnlt5hIKyKgZ19+Kuq3q1+NruegfmVD//nYTkrtufTggh2pjFk6THH3+cP//5z/z9739n8+bNbN68mWeffZannnqKxx57zBYxCpOjK9XqXn6R0H0Ybo5uPDD4AQDe2f8OxZXFtYafyS5mf0oeOq2GqYOCrR6OT1AIvQYPA0Vh//rVVj9/u+cXAa7+OCgVjFTScKgCByctAT1lP1J9/MM8cHTWUVFaRc55C/YllebCuR3q/c7WH+lyOodLKXdHVjQ53JxqN2kSGl3DfXdE6/nfdx8aZ2dK9++neOvWRseuO5LBjwfT0Gk1vDpzEA6tTL+966peODtqOXghn20nc1p1LiGEEM1j8V/uP/zhDyxcuJAlS5Ywfvx4xo8fz2effcbixYu57777bBGjMKlOtWPwrebqXjdH3UwPjx5cLLvIJ4c/qTV8ZfUq0ug+/gR46G0S0uDqAg6HNq2jsqLcJtdotzQac8rdSE0ZAPogF9mP1ACtVkNwhDdgYcpd8kZQDGqhDJ9etgitfamVctdwfxzFYKBwwwZALf0tbMshIACf224DIKuR1aTCskr+tvwQAPeO6c2AkLrp6Zbyc9dz6xU9AHgn4WSrzyeEEKJpLXo19+CDD3L+/HkyMjIoKCjg1KlTzJ4929qxiZryzsGZX9T7MZcayDpqHXl02KMAfHz4Y7JL1X1hiqKwPPECADcMDrFZWOHDhuPhH0BZUSEnfm383dVOqbp4Q4DBBYBM505YmtqKTPuSTE13m8Vc1a6TryKZ9BoDrn5QknPpd74eJbv3YLh4Ea2XF24jRrRhgF2X3733oHFxoezgQXPZ9cv9a81x0gvK6OHryvyJUVa79r1jeuOg1bA9OYfElDyrnVcIIUT9WvWWd0BAAO7u7taKRTTmwNfqx15jwDus1kPxPeOJ8Y+htKqUxYmLATicWsCprGL0DlomD+hms7C0Wh2DJ10LQOLaH212nXYr7EoUBYpK1HTGHUVFsmegEaZ9Sakn81Casy/JaICT1b24Ovt+JBOdA0Rfp95vJOXOnGo3YQIaR8e2iKzLc/Dzw3fW7YDaN+ny3/U9Z3P5dIfau+7lGwfh4mS9FMhQH1euH6K+4fVuQrLVziuEEKJ+LZokffvtt9xyyy1ceeWVDBs2rNZN2ICi1Ei1u63OwxqNhseHPw7Ad0nfcTr/NCuqV5Em9e+Gh7NtX0ANmjAZnYMD6SdPkJ6cZNNrtTshQ7ioRFBm9KAKI4nFpZzOLm76eV1UQE8PHPQ6youruJjWjO/Thb3qioreC3pcafsA24sBM9SPR1fVm3KnGI0UrlMnj5Jq17Z877kHrasrZUeOULTxUvuFiiojTy87gKLAzGGhXB3pb/VrPzAuAoA1R9I5mdmCfmNCCCGazeJJ0n/+8x/uvvtuunXrxr59+xgxYgR+fn6cOnWKa6+91hYxigt7IScJHFyg//X1DontFktcWBwGxcAbexaZ9yPZMtXOxNXLm6grrwa64GqSg55UZzUNzNE1H6MGNh3PsnNQ7ZdOpyU43BNo5r6kpOrS3xHjQdeFVkt6jQEXHyjJhrPb6jxcun8/VZmZaN3ccKunb52wHQcfH3zuvBOArDffQjEaAbWP0YmMIvzcnHhmWj+bXDuqmwfx/buhKPDeZllNEkIIW7J4kvTOO+/w/vvv8+abb+Lk5MSf//xn1q1bx7x588jPz7dFjGL/F+rHfteBvuHKafOHzUer0bIxZQPZlcfxdHZgXN+ANgnRVMDh+LYtlBYWtMk124sLhiEA9PY6A0DC8Uz7BdMBhESqJdIvnMhrerCpP1JUF0m1M9E5NppyV7hWXUVyj4tD6+TUlpEJwO/uu9C6uVF+7BiF69ZzMrOItzaqBRWend4fHzfb/Zs8GKeuJn2/7wKpeaU2u44QQnR1Fk+Szp07x1VXXQWAi4sLhYWFANx555188cUX1o1OQFUFHPpWvT/41kaHRnhHcGOfGwHQB/7EtQOD0Du0TVngkKhoAnqFU1VZweGE9W1yzfZAURRSc9WJaH/HXwHYeeoixeUNVyXr6kLMTWVzG9+/VZAG6QcADfTpgillNVPujAbzYUVRLu1HmtxFilm0Mzpvb3znqMWKst56i//7bj8VBiNxfQO43sar98N6+HBluC9VRoUPfzlt02sJIURXZvEkKSgoiIsXLwLQo0cPduxQ+5ecPn1aNqzbwsl1ap8Y9yDoHdfk8HsH/hGMjuhcz9Ej7JTNwzPRaDQMqW4uu3/danMKSmeXm15CaYkGHeWElm9igE8lFQYjvyZLL5OGdOvpic5RS2lhJXkZJQ0PNDWQ7R4L7m2zItqu9B4Hzt5QnAlnt5sPlx05QuWFC2hcXHAfO8Z+8XVxvnPmoPXwoCIpCaftCbg66XhxxkA0GttXuHwwrg8AX/x2jovFFTa/nhBCdEUWT5ImTJjAypUrAbj77rt57LHHiI+P5/e//z033nij1QPs8kypdjG/U6teNeFIiobyi+oLp9WpS6g0Vtoyulr6jY5D7+pGXkYaZw7sa7Pr2lNqdSnrILcUdJoqbgvOAGCTpNw1SOeoJai3ui+p0ZQ70ySpq6XamdRKuVtuPmxOtRszBq2Lix0CEwA6Ly/0t80C4I5ja/nTpD6E+ri2ybXHRvozIMST0koDn2w/0ybXFEKIrsbiSdL777/P//3f/wEwd+5c/vvf/9KvXz+ef/55Fi9ebPUAu7SSi3D8Z/V+TOOpdiYr9qdSkTMWvcaTswVn+T7pexsGWJujszMDxk0Euk4BhwvVxQe6B6uNdMfo1c3UCcez/p+98wyPouzC8L0lvRfSE0oCoXcsdESqSBewgF0UG4IFsVIUAQvyqSiigl1AqvTeO4QOKSSk92RTNsm2+X5MNhBqypaUua8rV8bdnfc9iWR3zpznPEeqrN6BMivw25k36EogZpd43LQeS8pukNxJUruaxZcuHcm3cSAkP52RqksW21cmk5X1Ji07FCfJeyUkJCTMQKWSJJ1Ox+zZs0lNTS17bNy4cSxcuJBXX30VW6mB2LScXwUGLfi2Ab/Wd315QYmO7RfSwGDPo82eBeDbiG8p1FrOkrpdqeTuysljqNLTLLavNRAEgeTSSkhAcx8AggrOYKuUk5RbRJRk0XtbApqJ5g3JkbfpS7p6ALSFoszUv52Fo6tBNO4F9m5QkAbxh9FER6OJjUVmY4Nz717Wjq5es+V8Kuti8ljdtDcA2d9+i6CzXLIyqLU/jbwcyVVr+etovMX2lZCQkKgvVCpJUiqVzJs3D50FPwjqNWWzkSpWRdp6PpUSnYEmDZx4tfMThLiEkF2czbLzy8wYZHk8A4IIadMeBIEz2zdZbF9rkJumRp2nQaGU49upAwCKlFN0L5WS7bokSe5uh19jV+RKGYUqDXmZt3DoiiyV2jXtBxbo8aixKG0hXHSO5MIa8kqrSE7duqGQBnlbjbxiLR+uPQeA14TxKNzc0MTFkbfBchV0hVzGxNK5SUv2xaLR1Y8+UAkJCQlLUWm5Xd++fdmzZ485YpG4nsxoSDwGMjm0eaRCp6yNMM5GCsRWacvrHV8HYOn5pWQWZZot1BsxGjic3bkVndZyPVGWxigV823sitKvKTh6ga6YUX7i71rqS7o9SlsFvo1u05ckCBBZKjOtr/1I12OU3F1YJ0ntagjzNl8iLa+ERl6OvPJQWzyfFSv3Gd99Z9Fq0siOgfi42JGaV8yaU0kW21dCQkKiPlDpJGnQoEFMmzaNN998k7/++ot169aV+5IwEWf+Eb+H9gUX37u+PLOghP3R4sX50PaiBW2/hv1o692WIl0RiyIs1y8W2ulenL28KcrPI/Lwfovta2mMF/cBzdzFakfwvQDcbyvOSzkel0N+cd1NEqtLQJg7cIu+pKxoyIkFuQ006W3psGoeTXqDnRualAxKLkeCUonLA32sHVW95XhcNr8fFuVtn45og72NAs/HH0Ph4YH2ajyqdestFoudUsFzPRoD8P3eGPQGqQ9SQkJCwlRUOkmaNGkSaWlpfPnllzz++OMMHz687EtytzMRBgOcqZzUbsOZFPQGgXZBbjT2dgLE5t43Or0BwL9R/xKrssxMDblCQbu+A4G6a+Ag9iOJznaBpf01BN8DgGfWSZp4O6EzCByItlwFr7ZRNi/pxkqScYBso253HJ5cb1DaQfgg8hJFJzune+5B4e5u3ZjqKSU6PdNWnQVgTOcguoZ5AyB3csLruecAyPzuOwQLVtAfu7chrvZKrmQUsvV86t1PkJCQkJCoEJVOkgwGw22/9Hr93ReQuDvxhyA3HmxdoPlDFTplbYQotRjaPrDc4539OtM7qDd6Qc/XJ782eai3o03fAcgVSlIiL5EWG2OxfS2FKr2IQpUGuVJWZmdN8H3i94Qj9G4mzvXZdSnDShHWfPyauCGTy8jPLiYv67q+pKjSJKmpJLUro9Vw8hPsAXDpVw8H69YQFu2OITq9AG9nW6YPblHuOY/HHkXh7Y02MZHcNWssFpOznZInuzYS49sTI7lqSkhISJiISidJEhbAOBup1TCwufsclPgsNSfjc5HL4OG2/jc9P7nTZOQyOTvid3Aq3TLzi5zcPWh6b1cATtfBalJZP1IjV5S2CvHBgA6gsIXCDAYFiUNSd11Oly5aboOtvRKfhmKlqExyV5x3bXCq1I9UhtaxBcXZtoCAS0tPa4dTL4lOz+e7XeINn48eboW7Y3k3V7mDA17Pib1JWYu+R9BYbsjrU10bYW8j50yiigPR0iBrCQkJCVNw9+mkNzBz5sw7Pv/hhx9WORgJQFsE59eIx+0erdAp68+Ihg1dQ73xcbW/6flQ91BGhI3g36h/+fL4l/w66FeLTIVv338wlw/u5eL+PfR84hnsneqOG1fSjVI7ABt78G8PiUdpL1zGwcab9PwSLqTk0SrAzTqB1nACmrqTFptHclQuze/zhyu7wKADz1DwCrV2eDWG/J2iWY5jAw3KlF3QTjJusCQGg8C0f8+i0Rt4oLkPQ25xMwrAY9w4sn76CW1yMrmrVuMxbqxF4vNytmNclxCWHoxj0Z5oujf1tsi+EhISEnWZSleSVq9eXe5r+fLlzJ07ly+++II1FpQY1FkubQBNPriFQEjXu75cEIQyVyOjYcOtmNR+EvYKeyIyItgZv9Nk4d6JwOat8A5uiE5TwvndOyyypyUQBKGs8mHsqykjRDRvsEk6SrcwL0AcLCtxa8qGyhr7kozW31IVqRx5W0pd7YKL4cJasW9RwmL8eTSe41dzcLJVMGt469veZJLb2+P9wkQAMr//HoMFq0nP9WiMQi7jQHQWpxNyLbavhISERF2l0knSqVOnyn2dO3eOlJQU+vbtyxtvvGGOGOsXRle7dmNBfvf/PRdT8olKL8BWKWdga7/bvs7H0YcJrSYAsODkArQG8zcWy2Qy2g8Qe6pOb9uAUEcu7PIyiyjIKUGukOHX5IYK0fV9SeHigFlpXtLt8Q9zRyYDVUYRhdlFEGWcjyRVSoxo09MpOiXKZF0ayyEvCZJOWDmq+kOqqpjPNl0C4M0B4QS631kC7T7mEZS+vuhSU8ldscISIQIQ5OHIsHbijbJFu+teH6iEhISEpTFJT5KrqyszZszggw8+qNR5c+bMoUuXLri4uODj48Pw4cO5fPlyudcUFxfz8ssv4+XlhbOzM6NGjSItLc0UYdc88tMgurTi0rZirnZrT4tVpAfCfXC1t7nja59u9TSe9p7E5cWxOmp1tUKtKC2698bWwYGclGTiz52xyJ7mxmj97dvIFRtjP5KRUhtwMi7Rp6GoZj0Zn4NKLVmB3wo7ByXewWJfUtKx01CYDrbO0LCblSOrOeRv3w6CgH27tth0KK2wXVhj1ZjqEx+uPUdBiY72we5MuL/RXV8vt7PDa+ILAGT9sBhDSYmZI7zGi71FieqWC6lEpxdYbF8JCQmJuojJjBtUKhUqlapS5+zZs4eXX36Zw4cPs23bNrRaLf3796ewsLDsNW+88Qbr169nxYoV7Nmzh+TkZEaOHGmqsGsW51aCoIfAzuAddteXGwwC640DZO8gtTPibOvMxLaiFOS7iO9Qa9XVi7cC2Do40rLnAwBEbP3P7PtZAqM0zCgVK4dzA7GfBgjMP0czX2cMAuyNkiR3t6NMcncmTnygSW9Q2t7u5fWO/K3bAHDt3/+6wbJrxaG7EmZl87kUtl5IQymX8dmoNijkFevldB89GqW/P7r0dHL/WW7mKK/RzNeFB1v4Igjwwx6pmiQhISFRHSpt3LBw4cJy/y0IAikpKfz2228MGjSoUmtt3ry53H8vXboUHx8fTpw4Qc+ePVGpVPz000/8+eefPPCAeKH9yy+/0KJFCw4fPsx9991X2fBrNkZXuwrORjp+NYdkVTEudkr6NPep0DmPNHuEPy7+QXx+PMvOL+Ol9i9VNdoK077/Q0Rs2UDM8aPkZWbg6t3A7HuaC0EQSIq6hWnD9YTcB9kxEH+YPuFjiEwrYNfldB5ud/dEtj4S0NSd0zsSSE6UgwdSP9J16HJyUB87BoBL//7g5y1W2lQJkHQSgjpZOcK6i6pIy4drzwMwsVcTmvu5Vvhcua0t3i++SOpHH5H542LcxzyC3P5mUx1zMKlPKNsvprEmIok3+jUj4C7yQAkJCQmJW1PpStJXX31V7mvhwoXs3r2bJ598kh9++KFawRgrUZ6eosXtiRMn0Gq1PPjgg2Wvad68OSEhIRw6dOiWa5SUlJCXl1fuq1aQdh5Sz4LcBlqPqtApxtlIA1v7YW+juMurRWwUNrzW8TUAfjn/C5lF5h926hUUQnDLNgiCgTPbN9/9hBpMflYxBdklyOUy/EJv41hnlNwlHC3rS9pzOQODQbrzfysCmrqDDHJKvFHr3aR+pOso2LED9HrsWrTANjhYHAlgTCIvWEYyW1+Zu/kS6fklNPF24tUHmlb6fPcRw7EJCECfkUnO33+bIcJb0zHEg3sbe6LVCyzZZ5kB4hISEhJ1kUonSbGxseW+YmJiOHz4MJ9++ikuLi5VDsRgMDB58mS6detG69atAUhNTcXW1hb3G6bL+/r6kpp668nic+bMwc3NrewrODi4yjFZlNOlH6LNBoDj3eegaHQGNpxNAWDYDQNk70b/hv1p492GIl0R35/+vtKhVgWjgcPZnVvQ62pvf46xH8mnkQs2drdJTENKK5xJJ+gc7IyznZKsQg1nkyonR60v2DvZ4OUh/ptIdhoMLrc3IKlv5G0VjSxc+183QLblMPH7eUlyZy6Oxmbz55F4AD4d2abCN6GuR2Zri/cksVKf9eMSDGrzy5uNTOojyrX/OhpPTqHlHPYkJCQk6hKVTpJUKhXZ2dk3PZ6dnV2tqs3LL7/MuXPn+Luad9zefffdsv4olUpFQkJCtdazCAY9nCnVrVdwNtK+qAxy1Vq8ne24P9SrUtvJZDKmdJoCwMrIlcSqzH+3MbTzfTh5eKJW5RJ15KDZ9zMXyaXzkQKa3kZqB+DVFBw8QFeETfo5uoeJM0t2XZZc7m5HgGMUAMnKHlaOpOagz8uj8NBhoFRqZySsH9g4gioeki0zHLo+UaLT8+4q0WRmXJdg7mtSuffX63EbNgyb4GD0WVnk/PWXqUK8Kz2betPS35UirZ5lh+Istq+EhIREXaLSSdK4ceNumcgsX76cceMq1ktzI6+88gr//fcfu3btIigoqOxxPz8/NBoNubm55V6flpaGn9+t7zbb2dnh6upa7qvGc2U3FKSKF9YVlBqtLTVseLidf4Wbia+ns19negf1Ri/o+frk15U+v7IolEra9hVlQhFbN5h9P3ORVDofKfDG+UjXI5dfJ7k7TJ/mYg/WLmle0q3RawkoFl0dk/MqVxWtyxTs3g1aLbahodiFXjdY19bxOsndGmuEVqf5dlcMMRmFeDvb8e6gFtVaS2Zjg/dLpdWkJT9huM6UyJzIZDJeKnW6W3owjsISnUX2lZCQkKhLVDpJOnLkCH369Lnp8d69e3PkyJFKrSUIAq+88gqrV69m586dNG7cuNzznTp1wsbGhh07rg0ivXz5MvHx8dx///2VDb3mYpTatR5VIVevwhId2y6INuiVldpdz+ROk5HL5OyI30FEekSV16kobfsORCaXk3TpAhlXa59WPi+riPysYmR36kcyYkyS4g+X9SWdScwlq8BydsC1hvhDBMjEuT9Z6QaKC2qvHNOUlEntBtzixkmZ5G6NJLkzIZFp+SzaHQ3AjKGtcHO881iFiuA29GFsGoagz8kh+48/q71eRRncxp+GXo7kqrX8fawWKCokJCQkahiVTpJKSkrQ6W6+K6XVaikqKqrUWi+//DK///47f/75Jy4uLqSmppKamlq2jpubG88++yxTpkxh165dnDhxgqeffpr777+/7jjbleTDxfXicQWldtsvplGk1dPIy5F2QXe5WL8Doe6hjAgbAcAXx79AMPPFlrOnF027iMnt6W0bzbqXOUgurSL5NHTB1v4uxpAh14bK+rrY0dLfFUGyAr81kVtwVKjwcBLlusnRudaNpwZgKCykcN9+4AapnZGm/UHpALlXIeW0haOrmxgMAtP+PYNWL/BgCx8GtzFNb5xMqaTByy8DkP3TT+gLLDO/SCGXMbGnWE1asu8KGl3dGOYtISEhYSkqnSTdc889LF68+KbHv//+ezp1qpwd7aJFi1CpVPTu3Rt/f/+yr3/++afsNV999RVDhgxh1KhR9OzZEz8/P1atWlXZsGsuF9aBrgi8wiCwYr8/o9RuaPtAZLLKS+2uZ1L7Sdgr7InIiGBn/M5qrVUR2vUXDRwu7N1Fidoy0hNTkXSn+Ug3EtBBdCosSIOcuGuSu0tSknQTUWLFJKCxHXBtDlV9pmDfPoSSEmxCQrALD7/5BbZO0Kw0eZIkdybh9yNXORmfi5OtgpnDWlf7vfV6XB96CNvGjdGrVOT89pvJ1r0bozoF4uNiR4qqmDWlbqgSEhISEhWj0knS7NmzWbJkCT179mTGjBnMmDGDnj178vPPP/Ppp59Wai1BEG759dRTT5W9xt7enm+//Zbs7GwKCwtZtWrVbfuRaiVnSqV27cZBBT6Usws17I0UL7SHmmDujo+jDxNaTQBgwckFaA3mlToFt2qDZ2Aw2pJiLuw1f1JmSoymDbedj3Q9Ng7g3048TjhyzQo8MgO9ZAV+jewrkBkJciWBHZsDUiUJIP86V7vbXqxLkjuTkaIqYt7mywC8PbC5yWcLyRQKvEurSVm/LEWfn2/S9W+HnVLBs91FGfv3e2Kk9x4JCQmJSlDpJKlbt24cOnSI4OBgli9fzvr16wkLC+PMmTP06CE5U1WK3ASI3Scetx1boVM2nE1BZxBoHehKmI+zScJ4utXTeNh5EJcXx+oo885ekclktO8/GICIrRvNLvEzFfnZxeRlFiOTgf/d+pGMGCV38YfpEOyOq70SVZGWiIQc8wVa24gUkwFC7ieglZj0ZybkU1JUfxvNDSUlFOzeA9xGamek6QBQ2kNOLKSesVB0dQ9BEPhgzXkKSnR0CHHnifsammUf10EDsQ0LxZCXR/ayX82yx6147N4QXO2VXMkoZNuFW4/OkJCQkJC4mUonSQDt27fnjz/+4Pz58xw/fpyff/6Zpk0rP2yv3nN2OSBAox7gHlKhU9aVSiaGtTOdC5izrTMvtnsRgO8ivkOtNe88j5Y9+2JjZ092UgIJ58+adS9TYexHahDigq3DXfqRjJQ53B1BqZDTs5kkubuJqC3i96b9cXKzw83HAUGAlHpcTSo8cACDWo3S3x/7Nm1u/0I7Z2haOj/pwlrLBFcH2XQule0X07BRyJg7qm2V3EIrgkyhoMErrwCQvXQpepVl5qa52Nsw4f5GAHy3O6bW3JiSkJCQsDaVTpI2btzIli1bbnp8y5YtbNq0ySRB1QsE4ZqrXQWrSIk5ao7F5SCTwcMmkNpdzyPNHiHYJZis4iyWnV9m0rVvxM7RkZY9RYfE07XEDjzJOB+pIlI7I8ZKUvpFKMqlT6nkTpqXVEpJAcSJ5gRGS2tjv1d97kvK3yJW11z6PXj3vpiWw8XvkuSuSqjUWj5adx6Al3qF0sy36gPRK4JL//7YNWuGoaCArKVLzbrX9TzdrRH2NnLOJKo4GJNlsX0lJCQkajOVTpKmTZuGXq+/6XFBEJg2bZpJgqoXJJ8UezGU9td6C+7C+tMpANzX2As/N3uThmOjsOH1jq8D8Mv5X8gsyjTp+jdiNHCIOnaI/Gzz7mUKjBftd5yPdCPOPuDRGBAg8Ri9wsVK0vnkPNLzik0eY60jdg/oNeDeELybARBYmiQZ51HVNwSNhvxduwBwvZPUzkizAaCwg+wYSDtn5ujqHp9tvkhGfglNGjgxqU+Y2feTyeV4vyL2JuX8+hu6HMtIb72c7RjbORiARbtjLLKnhISERG2n0klSVFQULVu2vOnx5s2bEx0dbZKg6gXGKlLzIWBfsYG3a41Su/amrSIZ6d+wP22821CkK+L709+bZQ8jDUIaEdi8FYLBwNkdN1cmaxIFOSWoMorEfqQw98qdfF1fkrezXZll++5ISXJHZOn/92YDykxLjJW6jPh8NMX1ry+p8MhRDHl5KLy9cejQ4e4n2LlIkrsqcvhKFn8dFecHfTayLfY2Covs6/Lgg9i1aIGhsJDsX5ZaZE+A53o0QSGXsT86kzOJuRbbV0JCQqK2Uukkyc3NjStXrtz0eHR0NE5OTiYJqs6j08C5f8XjCs5Gupyaz6XUfGwUMga19jdLWDKZjCmdpgCwMnIlsSrzDnw1Gjic2bEF/S1mb9UUkqPEu73ewS7YVbQfych1fUlAmcvd7vouuRMEiNomHjcdUPawi6c9Ll72CAaB1CuW6dmoSRhd7Vwe7ItMUcGLdklyV2mKtXqmrxL7IR+9J4R7GntabG+ZXE6DV0t7k37/HV12tkX2DfZ0ZFipTFuqJklISEjcnUonScOGDWPy5MnExFx7k42Ojmbq1KkMHTrUpMHVWaK3gzoLnH2hSe8KnWKsIvUO9zHJFPjb0dmvM72DeqMX9Cw8udBs+wA0vbcrjm7uFOZkE33ssFn3qg5l85EqI7UzYqwkJR4HvZbepZK7fZGZaPX1eLhj6lnITwYbR2jUvdxTgfW0L0nQ6cjfsQOooNTOiFFylxUF6RfMFF3d4ttd0VzJLMTHxY5pg5pbfH/nPn2wb9UKQa0m++efLbbvi73F4bKbz6cSnW6ZobYSEhIStZVKJ0nz5s3DycmJ5s2b07hxYxo3bkyLFi3w8vJi/vz55oix7nH6L/F7m0dAcffKhCAIZQNkzSW1u57JnSYjl8nZHr+diPQIs+2jUNrQtq9YRajJBg5GZ7sKzUe6Ee9wsHcTBwannqFtkDueTrbkl+g4cbUeW4EbXe0a9wKb8v11xmQ0uZ71JamPn0CfnY3CzQ3HLl0qfqK9K4T1FY8lyd1duZSaV1ZJmTG0FW4O5rvpdDtkMhnexmrSH3+iy7RMX2YzXxcebOGLIMDivVI1SUJCQuJOVElud/DgQTZs2MCkSZOYOnUqO3bsYOfOnXh4VOEisr6hzobIzeJxu3EVOuVkfA5JuUU42Sro29zXjMGJhLqHMiJsBABfHP/CrJaxbfoORCaTk3DhLJkJV822T1UpVJWQm6YGGQSEVXA+0vXI5dckd/FHUMhl9DJagddnyZ1xPlKzmysmRoe7tLg8tJqbTWLqKkapnXPfvshsKnnhfr3kTuK26A0C0/49i84g0K+lLwNbW28wuXOvXti3bYtQVETWkp8stu9LpdWk1aeSSFEVWWxfCQkJidpGleYkyWQy+vfvz1tvvcUrr7xCjx492LRpE6NHjzZ1fHWP86tFRy/f1uB3hxko12GsIg1o7YeDrWWaiye1n4S9wp6IjAh2Juw02z6u3g0I7SwmEae3bTTbPlXFKPnyDnLGrqoyx5v6ksQkac/lemreUJgFicfE46Y3J0mu3g44udth0Auk1ZO+JMFgIH+b2KPl0r9f5RcIHwgKW8i8LFrOS9yS3w7FEZGQi7OdklnDWt/dYt2MyGSyst6knL/+QptumZsmnRp6cG9jT7R6gSX7zNt3KiEhIVGbqVKSZCQ2NpYPPviAkJAQRowYQXGxZGt8V4yudhWsImn1BjacEa2/h7U33QDZu+Hj6MP4luMBWHBiATqD+YwV2pfagV/YuxNNkXkH2VYWoxV1YNNqVEmNfUkJR0AQ6Nm0AXIZXErNJzm3Ht7Jjd4OCOKNAregm56WyWRl1aT6YgVeFHEaXUYGcmdnnLp2rfwC9m4Q+oB4LFWTbklybhHzt1wG4J2B4SYfo1AVnLp3x6F9e4SSErKWLLHYvsZq0l9H48kp1FhsXwkJCYnaRKWTpJKSEv744w8eeOABwsPD+fTTT5kyZQrp6en8999/5oix7pAVA4lHQSYX+5EqwIHoTLIKNXg52dIt1MvMAZbnmdbP4GHnQVxeHKuiVpltn5DWbfHwD0RTVMSFfbvNtk9VSC4bIute9UUCOoJcCfkpkBuPh5MtHULEpGt3fawmGfuRblFFMmKcR1VfzBvKpHa9eyO3ta3aIkbJndSXdBOCIPDBmnMUavR0aujB4/c2tHZIQGk16bVXAcj9+x+0aWkW2bdXswa09HdFrdGz7FCcRfaUkJCQqG1UOEk6ceIEkyZNws/PjwULFjB8+HASEhKQy+UMGDAAV9eKzfqp15z5R/we+gC4VEwLb5TaDWnrj1JRrcJfpXG2debFdi8C8F3Ed6i15qnyyOTyMjvw01s3mLUHqjKo8zTkpJb2I5VWNqqErSP4txOPSyV3fcLraV+SXldaSUJ0ZbsNZX1JsXnotXXbBVAQhGvW31WR2hkJHwRyG8i4CBmXTRRd3WDD2RR2XErHRiHjs5FtkMutJ7O7Ecf778ehcycEjYaUd6djKCkx+54ymaysmrT0YBxqTc0dwSAhISFhLSp81X3vvfdiZ2fH4cOHOXbsGK+99hq+vuY3EagzGAzXXO3aVkxqV6TRs+V8KgBDLSi1u55Hmj1CsEswWcVZLDu/zGz7tOzVF6WdHZkJV0m6eN5s+1SGpNIqkleAM/ZO1XTACr42VBauzUs6EJ1Jia7+mBOQeBSKVeDgAUG3d3Bz93XEwdUWvc5AWlyeBQO0PMXnL6BNTkbm4IBzjx5VX8jBHUL7iMeS5K4MlVrLx+tEa/RJvcNo6uti5YjKI5PJ8J32LjJHRwoPHiTx1VcxaMwvgRvU2o+GXo7kqrVlQ3UlJCQkJK5R4SSpb9++/PTTT8ycOZPNmzfXmLv9tYYSFfi1BQdPaP5QhU7ZfjENtUZPsKcDHUPczRvfbbBR2PB6x9cB+OX8L2QWmceq1t7JmRbdewMQUUPswK9Zf7tXf7GQ8uYNLf1daeBih1qj51hsPbICjyyV2oX1A/ntTUhkMhkBYe7AtWG+dZUyqV2PHsgdHKq3mCS5u4lPN14ks6CEMB9nJvUJtXY4t8ShdSuCv1+EzMGBwr37SHr1NbMnSkqFnIk9xd/Hkn1X0OjqdsVWQkJCorJUOEnasmUL58+fJzw8nJdeegl/f39ef128eLamQ1CtwcEDxv0BUy6K8qsKUDYbqV2gVX/H/Rv2p413G4p0RXx/+nuz7WM0cIg6epDCXOtfGFdriOyNGB3u0s5DsQq5XEbv+mgFHmW0/r691M6IMTlNqsN9SeWkdgMqMUD2djQfLPa/pZ+HzKjqr1fLORSTxT/HxSrJnJFtsFNaxh20Kjjdcw/BixYhs7enYM8ekl6fjGDmRGlkx0AauNiRoipmTenAcol6QlEu5EoVRAmJO1GpJpfg4GA+/PBDYmNj+e2338jIyECpVDJs2DCmT5/OyZMnzRVn3cGmYo5KuWoNeyLFi2dLDJC9EzKZjDc6vQHAysiVxKrMYxvr06gJ/s2aY9DrObNjs1n2qCjqPA05KYVANfuRjLj4gXtDQCizv+7TXJTc7a4vSVJuPKRfEI1LjE5sd8D4e0+9okKvr5t3uUuiotDExSGztcW5V+/qL+jgAU1K16nnkrtirZ7pq88C8Pi9IXRp5GnliO6O0333ErzoO2R2dhTs2kXiG1PMmijZ2yh4rntjAL7fE4PBIClE6gX5afDtvfB1O7i43trRSEjUWKrsBNCvXz/+/PNPkpOTefXVV9m0aRNdKjMlXuKObDqXilYv0MLftUZo6Lv4daF3UG/0gp6FJxeabZ8OpdWkM9s3Y9Bbr1fHKLXzDHDCwbmKbmM3YrQCjxcld92beqOQy4jJKCQ+q2ZZn5sFo9Qu+F5wvPsFq6e/E/ZONug0BjKu5ps5OOuQv1WcjeTUrRsKZyfTLCpJ7gBYuCOK2MxCfF3teGdQc2uHU2Gc7r+foO++RWZrS8GOHSRNnYqg1Zptv8fuDcHFXsmVjEK2Xkg12z4SNQSDAVZPhIJUEPSw8hmI2WXtqCQkaiTVtkvz8PDg1Vdf5dSpUxw7dswUMUkAa06J0gdrV5GuZ3KnychlcrbHbyciPcIsezS9rzsOLq4UZGcRc/yIWfaoCNf6kaoxH+lGyobKiuYNrvY2dG5YagUeWQ+qSUap3R2sv69HJr82Lym5js5LuuZqZwKpnZHmD4mSu7Sz4tiBesjFlDwW770CwIyhrXG1r6bxioVx7taNoG/FRCl/23aS3nzLbImSi70NE+4XLdEX7Y6R+o3rOge/hiu7QOkATfqIw+3/fhwSpOs3CYkbMamndMeOHU25XL0lObeIo3HZADzcruYkSaHuoYwIGwHAlye+NMuHqdLGhjYPiBeM1jRwMDrbmURqZ8RYSUo8IVphc01yt+tSHU+SNGqI3SseV6AfyUjZUNk62JekiYujJDISlEpcHuhjuoUdPaFxT/H4/GrTrVtL0BsEpv17Bp1BYEArXwa2rti4hZqGc4/uBH3zP2Q2NuRv2ULS228j6Mxj1f10t8bYKeWcTlRxKCbLLHtI1AASjsKOWeLx4Pnw2D9ioqQthD9GQeo568YnIVHDsOzgHYkK8d+ZZAQB7mnkSaB7Nd2uTMyk9pOwV9hzKv0UOxN2mmWPdv0Gg0xG/LnTZCVZvrG0qEBDdrIJ+5GMNGgBdm7iB1Ka2CvRu3Re0sGYLIq1ddgKPG4f6IrBNQh8Wlb4NKNpRkpMLoY61peUZ5Ta3XsvCjc30y5ejyV3yw7GcTpRhYudkpnDWls7nGrh3LMngQu/Bhsb8jdtJvntd8ySKHk72zG2SzAA3+2un9XHOk9RDqx8VpTYtR4NHZ4ApZ1oKBV8rzia4bcR9bb6LCFxK6QkqQZS5mrXoeZUkYz4OPowvuV4ABacWIDOYPoPbNcGPjTpKPa3nd620eTr3w2jtMvD3wlHVxP1IwHI5RBc2rdX2pcU7uuCv5s9JToDh67U4Tu4xn6kZv2hEk6NXoHO2Doo0RbryUwsMFNw1sEsUjsjzYeATAGpZyD7iunXr6Ek5qj5fKs4SHfa4Ob4ulbMKKcm49KnD0FfLwAbG/I2biR52rsIZujXfL5HExRyGfujMzmTmGvy9SWsiCDAutdAFQ8ejWDIV9feh22d4LHl4NsGCtPh1+GgkpwOJSRASpJqHNHp+ZxPzkMplzG4tb+1w7klz7R+Bg87D+Ly4lgVtcosexgNHM7v3oG2uNgse9yO5FJpl0nmI92IcahsaV+STCYrGyy7u65K7gThun6kikvtAORyGQFhYpWlLknutElJFJ87B3I5Lg/2Nf0GTl7XSe7WmH79GoggCHyw5hxqjZ57GnnyaJcQa4dkMlweeICgr74EpZK8//4jZfp0kydKwZ6ODC2Vdy+Sqkl1i+M/w8V1ILeB0b+AvWv55x3cYfwq8AwVE6nfhkOheWYiSkjUJqqVJGVmZrJhwwbWrVtHSkqKqWKq16wrrSL1atYADycTVjFMiLOtMxPbTQTgu4jvUGtN78zWsG0H3H390RSpuXhgt8nXvxNl85FMKbUzYhwqG39ETB6APuHGeUkZdbNpOv0iqBJAaX/twr0SBDQVzS3qknlD3jZRaufYqRNKLy/zbNJymPj9whrzrF/DWH8mhV2XM7BVyPl0ZBvk8ro1v8/lwQcJ/PILUChQrV1HyvsfIBhMK0F9sZc4XHbz+VRiMupW5bbeknoONr8rHj/4MQTepnfc2QcmrAHXQMiMhN9HihI8CYl6TJWTpH///ZewsDBmzJjBRx99RGhoKL/88ospY6t3CILA2tNikjS0Brna3YoxzcYQ7BJMVnEWyy4sM/n6Mrmcdv0GARCxZYPFkofiQi1ZyeLFgUmd7YwEdhJlUPnJYuIAdAvzxkYhIz5bTWxmoen3tDZRpVK7Rj0qPEj5esr6kqJz68wcF6P1t1mkdkZaPCz+W0s5DdnmmW1WU8hVa5i5/jwAL/cJI8zH2coRmQfX/v0J/KI0UVq9mpQPTJsohfu58GALHwQBftgjVZNqPZpC0eJbXyK6it436c6vdw+B8WvA0Vt83/hznGi6IyFRT6lwklRQUP6u0owZMzh69ChHjx7l1KlTrFixgvfee8/kAdYnIhJyuZqlxsFGQb+WvtYO547YKGx4reNrAPxy7hcyi0xfmm/Vpx9KG1syrsaSHHnJ5OvfiuSoXBDAw8/RtP1IRmydwL+teJxwFAAnOyX3NharCbsuZ5h+T2sTWSq1q4Sr3fU0CHbGxl5BiVpHdnLtv7utTU+n6NQpAFz69zPfRk7e0Ki7eFzHDRw+2XCRzAINTX2ceal3qLXDMSuuAwcQOH8eyOWo/l1F6kcfmTRReql3GACrTyWRoioy2boSVmDTO5B5GZz9YPgisS/2bjRoJkrv7Fwh/iAsnwA68w00lpCoyVQ4SerUqRNr1177oFUqlaSnX+uhSEtLw9a2ZsrDagtGw4b+rXxxtFVaOZq7M6DhAFp7taZIV8T3p783+foOzi6EdxPlWRFb/jP5+rfC2I8UYI4qkhFjX1L84bKHjC53uy/Xsb6kohxIKJ13VcH5SDciV8jxD607fUn527eDIODQrh02vma+GVIPJHcHojNZcSIRmQw+G9UGW2Xdb7V1HTyYgHliopS7YiWpM2aaLFHq1NCDexp7otUL/LSvblcg6zRnV8Kp3wAZjPpRvGlSUfzbiWYOSgeI3iYOnzXUYfdVCYnbUOFPky1btrB48WJGjBhBcnIyX3/9NWPHjsXPzw9vb2+mTZvGd999Z85Y6zQ6vYH/zoh9XTVpgOydkMlkTOk8BYCVkSuJVZn+A7XDgCEARB4+gFqVa/L1byQpSpyPFGiOfiQjIeWHygJl5g1HrmRTWGKeWShWIXqHaDnboDl4NKzyMnVpqGz+FjO62t1Ii6Egk0PyKci5av79LEyxVs/01aKd/hP3NqRTQ08rR2Q53IY8RMBnc0AmI/eff0idNctksmRjNe7Po/HkFEpVhFpH9hVYP1k87vV2lXpBaXg/jP1dNHs4vwo2TCnro5WQqC9UOElq1KgRGzZsYMyYMfTq1YuIiAiio6PZtm0b27dvJz4+nsGDB5sz1jrNoStZZBaU4OFoQ4+mDawdToXp4teFXkG90At6Fp5caPL1fZuE4RfWDINex5bvv0ZnpqnzIPYjGW2mA8zhbGfEWElKOw8l+QCENnAi2NMBjd7Awbo0zLHM1a56CcH15g212dxCl52N+pg42d5lgAWSJOcG0LCbeFwHJXcLtkdxNUuNn6s9bw8Mt3Y4Fsdt6FD853wqJkp//U3a7E9M8vfRu1kDWvi7otbo+fVQ3Uuu6zQ6jdiHpMmHkK7Q8+2qr9X0QbEKJZPDiaWw7UMpUZKoV1Ral/Doo49y7NgxTp8+Te/evTEYDLRv3x57+9o/j8KaGKV2D7X1x0ZRu+QikztORi6Tsz1+OxHpESZfv9f4Z1Ha2HLl5DHWf/mp2RKllOhcEMDd1xEnNzuz7AGAq7/YICsYIFG8YJbJZPQxWoHXFcmdQQ9RokFBVfuRjPg0dEFpI6e4QEt2Su01t8jfsQMMBuxatsA2KMgym9ZRyd35ZBU/7hNnQM0a3hoXexsrR2Qd3IcPx/+TT0AmI+ePP0ibM6faiZJMJiurJi09GItaU4eq23WdHTPEyrGDh5jgKKop3W81Ah7+Wjw+uBD2f1n9GCUkagmVuhrfuHEjX3zxBcePH2fJkiXMmzePxx9/nLfeeouiIqnBs6oUa/VsPpcKwLD2gVaOpvKEeYQxPGw4AF+e+NLkd/qDmrdi+DsforS148rJY6z74hN0GtNLQJJKpVxmrSIZKetLOlL20LUkqY5YgSedgKJssHMTJ7pXA4VSjl9pX1JyLe5LMrrauVpCamekxVBAJv7/yI233L5mRG8QeHfVWfQGgcFt/Gq80Y25cR85Av/ZswDI+fU30ufOq/Z7yODWfjT0ciRHreXvowmmCFPC3ERugUPfiMfDvgM3E92I6TgB+s8Wj3fMhGNLTLOuhEQNp8JJ0tSpU3n66ac5duwYEydOZNasWfTq1YuTJ09ib29Phw4d2LRpkzljrbPsvJROQYmOQHcHOoWY0TDAjExqNwl7hT2n0k+xM2Gnyddv2KY9I0oTpdhTx82SKJUNkTVnP5KRW/Ql3dfECzulnKTcIqLSa7+LG5Gl1t9hD4Ci+nf5y/qSonOrvZY10OflUXhY/P9tkX4kIy6+10nu1lluXzPyy4FYziSqcLFX8vHDrawdTo3AfdQo/GbOACB76VLS539erURJqZDzQs8mAPy47woanWlnMkmYmLxkWPOSeHzvi9DcxO0PXV+Fnm+JxxvehDPLTbu+hEQNpMJJ0tKlS9m4cSN///03x44d47fffgPA1taWWbNmsWrVKj799NNKbb53714efvhhAgICkMlkrFmzptzzTz31FDKZrNzXwIEDK7VHbWBtRBIAD7cLqLUDEH2dfBnfcjwAC04sQGcwvTwjpHW7a4lSxAnWmjBRKlFryUwQ+4OM/S9mxVhJSjwOevF35WCr4P7QUivwS3VAcmecj9TMNH+zgaUVvuTI2tmXVLBrF2i12IaFYtekiWU3bzVc/F4HJHcJ2Wq+2BoJwPTBLfBxlaTeRjzGjMHv448AyP75ZzK+rF5lf1THIBq42JGiKi77nJKogRj0sOoFUGeBX1voN9M8+/R5D+55ARBg9YtwWboxLlG3qXCS5OTkRGys6F6WkJBwUw9Sy5Yt2bdvX6U2LywspF27dnz77be3fc3AgQNJSUkp+/rrr78qtUdNR1WkZdclcTZObXG1ux3PtH4GDzsP4vLiWBW1yix7iInSRyht7YgzYaKUEq1CEMCtgQPOHmbsRzLi00KcQ6EpgPTzZQ/3biaaduyq7X1JecmQehaQQdiDJlnSp5ErCqUcdZ4GVXrtk/fmWUNqZ6TFw4BM7IFTJVp+fxMhCALvrzlHkVbPPY09Gds52Noh1Tg8xo3D94P3Acj6cQkZC76ucqJkb6Pg2e6NAfh+T0ydGeZc59j3BcTtAxsnGP0LKM30GSaTwcC50Hac6Fq6/EmI3WuevSQkagAVTpLmzJnDhAkTCAgIoFevXsyaNavamw8aNIjZs2czYsSI277Gzs4OPz+/si8Pj9opR7sdW86lotEbCPd1oYW/q7XDqRbOts5MbDcRgEWnF6HWmmdSd0jrtiZPlIz9SIGW6EcCkCsgqLN4fF1fktEK/HhcDnnF5nPyMztGV7ugzpWbz3EHlDYKfBuLfyNJkTkmWdNSGAoLKdy/HwCXAdUzsagSLn4Qcr94XIsld+tOJ7MnMgNbpZw5I9vU2sq7ufF8/HF8S4e7Z/3wA5n/+1+V13r83hBc7JXEZBSy9UKaqUKUMBVXD8LuOeLxkC/BO8y8+8nlMOxbCH8I9CXw16Niv6OERB2kwknS448/TkJCAmvXriUuLo5hw4aZM64ydu/ejY+PD+Hh4bz00ktkZd3ZHrmkpIS8vLxyXzWZtadFCcPQWl5FMjKm2RiCXYLJLMpk2YVlZtsnpHVbRk77CKVdaaL0+exqJUrJpRfdZh0ieyNGyd11fUmNvJ1o4u2EziBwICrTcrGYmkij9bdpE4LaOi+pYO9ehJISbBqGYNesmXWCqOWSu5xCDTPXXwDg1T5hhDZwtnJENRvP8U/gO/1dADK/W0TGN7dXbNwJF3sbJtwvzjhbtCemVkpd6yzqbPj3OdEptd2j0G6cZfZVKGH0z+L8JU0B/D4K0i9aZm8JCQtSKXc7Ly8vunTpgru7u5nCKc/AgQP59ddf2bFjB3PnzmXPnj0MGjQIvf72k5/nzJmDm5tb2VdwcM2VY6TnFZfNxBnarm4kSTYKG17r+BoAv5z7hcwi813oB7dqy8hpH4uJ0umTrJk/C62mpNLraIp0ZMQb+5HcTRzlHTCaN1xXSYJr1aTdlzMsF4sp0RbDlV3icTPTSsuMzoO1bV5S3lYxaXTt3x+ZzErVjxYPi98TjoCq9vWXzN5wkaxCDeG+LkzsFWrtcGoFnhMm4PPOOwBkfvMNGVUc+P50t8bYKeWcTsjlUF2a41abEQRY+zLkJYFXGAz+3LL729jDuD8hsDMU5cCvwyHb9APlJSSsSY0eyDNu3DiGDh1KmzZtGD58OP/99x/Hjh1j9+7dtz3n3XffRaVSlX0lJNRc69J1p5MRBOjU0INgT0drh2MyBjQcQGuv1hTpivj+9Pdm3Su4ZZuyROnqmVOsnT+70olScnQuggCu3va4eFqwCTywM8gUkJdYrk+kT/NrfUm1KREo4+p+0KrBxV9sIjYhfk3ckCtkFOSUkJ9VbNK1zYWhuJiCPaJu36KudjfiGnCtenlxvfXiqAL7ojL492QiMhnMGdUGW2WN/uiqUXg9/RQ+b70JQObC/5H5/Q+VXsPb2Y6xXcQbjov2xJg0PokqcuQHuLwRFLZiH5KdFSqrdi7w+ArwaQkFqfDrMMhLsXwcEhJmolZ90jRp0gRvb2+io6Nv+xo7OztcXV3LfdVU1p0WB8jWdsOGG5HJZEzpPAWAlZEriVWZ9+5ScMs2jJo2Axs7+yolSsll85Es3O9m5wx+rcXj+GuSu3sae+JgoyA9v4QLKTVbLnpLyqR2/cRGXxNiY6vAp6GxLynXpGubi8IDBxDUapQB/ti3bm3dYGqh5K5Io+e91ecAePL+RnSspWMSrInXs8/SYIr4npyxYAGZP/5Y6TWe79EEhVzGvqhMziaqTB2iRGVIjoBtH4jH/T8Bf9PejKoUjp4wfjV4NIbcq/DbCFEGKCFRB6hVSVJiYiJZWVn4+/tbO5RqcyWjgDOJKhRyGYPb1P6f50a6+HWhV1Av9IKehScXmn2/oJatGTnt47JEac28ikvvki1t2nA9ZX1J1yR3dkoF3cJEs4NaJ7kThGvW3ybuRzJyTXJXO8wb8o1Su379rCe1M9JiqPg9/nCtueO7YHsk8dlqAtzseXNAuLXDqbV4v/A8DSa/DkDGF1+S9dPPlTo/2NOxTBa+aM/tb1RKmJmSfFj5DOg1onnCPc9bOyLRGGbCGlE9kHFR7FEqybd2VBIS1caqSVJBQQERERFEREQAEBsbS0REBPHx8RQUFPDWW29x+PBh4uLi2LFjB8OGDSMsLIwB1nCHMjHGKlKPpt54O1vActoKTO44GblMzvb47USkR5h9v6CWrRn5rpgoxZ+NEBOlkjtLsjTFOtKvWqEfyUhZX9Lhcg/3Di+V3NW2eUmZUZATJ0pAmvQ2yxa1ybxB0GjI3yn2Z1lVamfELRCC7gGEWiG5O5ekYsl+sRI9a3hrnO2UVo6oduP94ot4v/YqAOnz55O1dGmlzp/YS5zvtelcKjEZdWDgdW1kw5uQHQOuQTDsG5NX66uMRyMYvwYcPCH5pOh6p619oxokJK7HqknS8ePH6dChAx06dABgypQpdOjQgQ8//BCFQsGZM2cYOnQozZo149lnn6VTp07s27cPO7vanVQIgsC6iLoptbueMI8whocNB+DLE9UbalhRglpULlFKjVEhGARcvOxx9XIwe3w3YawkpZ0rd+fNmCSdjM8hV22agbkWwVhFatjNbBp5/1A3ZHIZeZnF5GfX7L6kwiNHMOTno2jgjUPp+5zVqSWSO53ewLRVZ9AbBB5q60/fFr7WDqlO0GDSJLxffhmA9M/mkv3rrxU+t7mfK32b+yAIsHjPFXOFKHE7Iv6CM3+DTA6jlohSt5qET3N44l+wdRHnNq14GvS1eJSFRL3HqklS7969EQThpq+lS5fi4ODAli1bSE9PR6PREBcXx+LFi/H1rf0flOeS8riSWYi9jZx+Lf2sHY5ZmdRuEvYKe06ln2JXwi6L7BnUojUjp8/Axt6B+HOnWTNv5m0TJWNfS6A1qkgg3tl3CxYtXK+bNRHk4UgzX2cMAuytTVbgkaVJUjPzVXtt7ZU0CBYTsJpeTTJK7VwefBCZvIaom42Su6sHIT/VurHcgV8OxHEuKQ9XeyUfPdzS2uHUKbxfeRmvl14EIO3TOWT//keFz53UR3QWXHUqkVRVzb5JUafIjIINU8Xj3tOh4f3VWi4rMZ6rZyOqH9eNBHaEx/4GpT1EboI1k8BgMP0+EhIWoIZ8atcv1kSI9rsPtvCt8/IRXydfxrccD8BXJ75CZ9BZZN+g5q0Y9a4xUTpz20TJ2NdicdOG6wm+tRV4nzIr8FoiuStWQfwh8bipeaVlxv9fyTV4qKyg05G/fQcgWn/XGNyDRWfFGiy5S8hW8+W2SADee6gFPi4WdJ2sB8hkMhq89hpeL7wAQNrs2WT/+WeFzu3U0JN7Gnmi1Qss2SdVkyyCthhWPg3aQnE2UY8p1VouKymB36e/wcrZ77Pj50UY7jBWpUo06g5jfgW5Es4uh01vif2qEhK1DClJsjB6g8D6Mle7QCtHYxmebv00HnYexOXFsSpqlcX2DWzeslyitHruTLTF1xIlbYme9DhR4mYV0wYjITcPlYVr85L2XM7AYKgFHzAxu8CgE2d2eJl3jo2x8pccXXNdttTHT6DPyUHh7o5jly7WDqc8ZZK7tVYN41YIgsD01Wcp0uq5r4knYzrX3Fl3tRmZTEaDNybj9dyzAKTNnEXO3/9U6NyXSqtJfx6Nr11y4NrKtg8g9Sw4esOIxSBXVHkpnUbDhgVz0ZWIxkYRWzaweu4MStSFpopWpNkAGPEDIINjS2DnLNOuLyFhAaQkycIcuZJFen4Jbg429GrWwNrhWAQXWxcmtpsIwKLTi1Br1RbbO7B5S0ZNn4mtgwMJ58+wet61RCk1RoXBIODsaYeLlxXvVBsrSQnHwHDtjl7nRh442ynJKtRwNqnmJgNlRBmtv81vrOIf5gYyyE1TU6iq/ABhS2CU2jn3fQCZsoZVjFsOE79fPQAFNatSuSYiiX1Rmdgq5cwZ2db6joB1GJlMRoOpU/F85hkAUj/+mJzly+96Xu9mDWjh74pao2fZwavmDrN+c/E/OLpYPB7xPbhWzw13z+8/kREfh4OrG/1eeKVsGPtfH7yFKt3E8ts2o2HIl+Lxvi/gwNemXV9CwsxISZKFWVtq2DC4jX+9Gog4ptkYgl2CySzKZNmFZRbdOzC8BSPfvS5RmjsDbXExSaVSrcCmHta9EPNtJTa6avIh/ULZwzYKOT2ailbgu2q65M5guJYkNTO/tMzO0QbvoJrblyQYDORv2wbUMKmdEfcQCOgo9sJdXGftaMrIKihh5nrxb+D1vk1p7O1k5YjqPjKZDJ+33sTzyScBSP3wI3L//feu57zUW6wmLT0Yi1pjGRl1vSM3AdaKJht0fVWcPVcNoo4eJGLLBgAGvTyFtn0HMu7juTh7eJKVGM8f700lOfJidaMuT+dn4MGPxeNtH8KJpaZdX0LCjNSfq/QaQIlOz8Zz4mySuuxqdytsFDa81vE1AJaeW0pmkWXNCALDW1yrKF04y+q5M0gstdcOsKbUDkTpRFBn8fh2VuA1fV5SyikozBCTvZCuFtmyzAq8Bg6VLYqIQJeRgdzZGcf7q9dgbTbMILkr1hWTVJBU5fNnb7hIjlpLcz8XXujZxGRxSdwZmUyGz7R38Jgg9o+mvP8BuatW3/Gcwa39CPF0JEet5e+jCZYIs36h18G/z0FxrnhD44EPq7VcXkY6W74XKzmdHx5J4/adAPBtEsZjn36JT+NQivJULJ85nYv7d1cz+Bvo/ob4BbB+Mpy7cxIuIVFTkJIkC7L7cgb5xTr8XO25p1ENs+60AAMaDqC1V2vUOjXfn/7e4vsHNCufKCWcXYYgaK3bj2Qk5OahsnCtL+lMYi5ZBTVTVgZAZGkVKbQ3KG0tsmVgU9G8IakGVpLyt5RK7fr0QW5rmd9HpTFK7uL2Q0H1knCDYGBdzDoGrxrMwH8H8tWJr9AbKtcMvicyg9WnkpDJ4LNRbbFRSB9PlkQmk+H77rt4PP44CAIp771H7po1t329UiEvS2SX7LuCRic5mJmUPZ+Jfap2rjD652q9rxr0ejYsnE9JYSF+Yc3oPm58ueddPL0Z9/Fcwrrch16rZeP/Pufgij9MO7aj70diVQkBVr1w7TNDQqIGI30KWZC1pa52Q9sHIJfXP529TCZjSmfRlWdl5EriVHEWj0FMlGZhY+eAQZeIvngN9uYZ51M5buNw5+tqT0t/VwQB9kbV4GqScT6SBfqRjPg3dQMgJ6WQovya0zwuCEKZ1M6lf/XkMWbFoxEEdBAld5eq7nJ3OuM0T2x8gvf2v0dGkfhv9OdzP/PS9pfILc6t0BpqjY73Vp8F4KmujWgf7F7leCSqjkwmw/f993B/dJyYKL07HdX62//bGN0pCG9nO5JVxWWfbxIm4Moe2Pu5ePzwAvBsXK3lDq74k+TIi9g6OPLQa2+jUNrc9Bobe3uGTplOl6GjADi08i82/u9zdBoTvbfKZDD4C2jziGjws3w8xB0wzdoSEmZCSpIsRH6xlu0XRXnX0Hb1S2p3PV38utArqBd6Qc/CUwutEkNAs+a07P0SYIuuOIE1c2eiKbbyZPCgzuKAQFU85CWXe6pP81LJ3aUamiTlp0HyKfHYzNbf1+PgbItngNizkhyda7F970bxufNok5OROTjg3L27tcO5M8ZqUhUkd2mFaby7712e2PgEZzPP4mTjxJROU5jTYw4OSgcOpRxi3IZxXMy6e4/DV9siScwpItDdgTf7h1c6FgnTIZPJ8PvgA9zHjAFBIPmdaaj+23DL19rbKHi2u3gB//2emNrhwlnTKciAVc8DAnScAK1HVWu5+HOnObJGNOPo98IruPvefjajTC6n5+NP03/ia8gVCi4d2MPyWdNRq3KrFUMZcjkMXwTNBoKuGP4ce+2zQ0KiBiIlSRbC0VbJz0924cVeobQKcLV2OFZlcsfJyGVytl3dRkR6hFViyMt2w9ZlFEpbexIvnmPVnI+tmyjZuYgGDnBTX5JxXtKeyAz0NfEiJFqsmhDQAVwsO+w5sAb2JZW52vXsidzBwcrR3IWWw8XvsfugMKtCpxTrivnh9A88vOZh/rvyHzJkjAgbwX8j/uPp1k8zpMkQfh/8O8EuwSQVJDF+03jWx9y+GnE2UcVP+2MBmD28NU51fHZcbUAml+P38Ue4PzIaDAaS336bvE2bbvnaJ+4LwcVeSUxGIdsuplk40jqGwQBrXoKCNPAOh4Fzq7WcWpXLxv99DoJAmwf607xrzwqd1+aB/oyaPgt7J2dSIi/xx3tTyYyPq1YsZShs4JGl0LC7aFb0+yjIuGyatSUkTIyUJFkIhVxG96beTBvUvN5b2oZ5hDE8bDggDpg1qe65Aug0etLi8pAr/Rn86ofYOjiSdOm89ROl4Fv3JbUPdsfNwQZVkZaIhBo4PDXS8lI7I8ahsjWlL0kQhLIkqUZL7Yx4Ngb/diDo7yq5EwSBrXFbGbZmGN9EfEORrogOPh34a8hfzOw2E28H77LXNvNoxl8P/UWPwB6U6EuYvn86nx39DK1BW25Nnd7AtFVnMAjwcLsA+jT3McuPKVF5ZHI5fjNm4DZqJBgMJL35Fnmbt9z0Ohd7G8bf1xCA73bHWPz9vE5x+FvxppPSXkwkbB2rvJRgMLD5u68ozM3BMzCYPk+9UKnzQ1q35dHZX+Du509eRhp/ffgWsREnqhxPOWwc4NG/xBtr6iz4dTjkSFbyEjUPKUmSsAqT2k3CXmHPyfST7ErYZdG9U2PzMOgEnNxsCevShtHvz8LO0ak0UfoITZHl5jiVw2jecEMlSamQ07NZDZXc6TTiEFmwiPX3jfiHiX1JWUkFFBdq7/Jq81MSGYXm6lVktrY49+pt7XAqRgUkd5eyL/HMlmeYumcqyYXJ+Dr6Mq/nPJYNXEYrr1a3PMfNzo1v+n7DxLbijLQ/Lv7B81ufL+ds+dP+WM4n5+HmYMOHQ1qa7meSMAkyuRz/WbNwGz4c9HqSpk4lb+vNDfdPd2uMnVLO6YRcDl2pWEVS4gYST8D2j8XjgZ+Bb/X+Hk5sWENsxAmUNrYMmfwONnaVnwXoGRDIY7O/IKhlazRFRaz+bAantvxXrbjKsHeFx/+FBs0hPxl+Gy5KtyUkahBSkiRhFXydfBnfUnTYWXByATqD5eZsGOcjBTQT5yP5h4Uz+j1jonSBf+d8bJ1EyWjekHoWSgrKPdXbmCTVtHlJ8QdFyYSTD/h3sPj2Tm52uPs6ggApNaAvyVhFcureHYVzLZnxY5TcXdkD6uxyT2UXZzPj0AzGrB/D8bTj2CvsmdRuEutHrGdQ40F3rYrLZXJe6fAKX/f5GicbJ06knWDs+rGczjhNfJaar7ZHAvDeQy1o4GJnjp9OoprI5HL8P5mN27ChYqI0ZSr527eXe00DFzvGdA4GYNHuGGuEWbspVsHKp0VDg5bDodNT1VouNTqSfX+J8wh7P/k8DUIaVXktBxdXRr83i1a9H0QQDOz8+Xt2/vIDBn3l3CtviZMXjF8tzm3LvgK/jYCiGqiWkKi3SEmShNV4uvXTeNh5EKuKZXX0nWdymBJj/8r11t9+Yc3KEqXky1ZKlNyDwTVQlD4llZc19Cqdl3Q+OY/0vGLLxnUnjDauTfuJTblWwDjnqiZI7mqV1M6IVyj4tSmV3Il3ibV6Lb+e/5Uhq4awMnIlAgKDGg1i3fB1vNT+JRyUleu1eiDkAf566C+auDUhvSidpzc/zcQ131CsNdA11ItHOgWZ4yeTMBEyhQL/Tz/FdcgQ0OlIfGMK+TvLKwBe6NkEhVzGvqhMziaqrBRpLUQQYP3rkHtVTBYe/lp0gqsiJepC/ls4D4NeT7N7u9H2wYHVDlGhtGHAi6/T47GnADi1eT1r5s2kRG2Cz0jXAJiwFpx9If08/PHITTcJJSSshZQkSVgNF1sXJrYTpTjfRXyHWmv+pESn1ZMWmwdcG0ZqxC+sGaPfn42dU2mi9KkVpHfGatINfUnezna0CxKlZbsja5Dkrsz62/JSOyNG84YUKydJJbGxlERFgVKJS58+Vo2l0hgld+fXsDdxLyPXjWT+8fnka/Np4dmCZQOXMa/XPPyd/au8RWO3xvz50J88GPIgWoOWROVvOAasYsbQ8Hrfp1kbkCkUBHw2B9fBg0GrJfH118nfvbvs+WBPRx5uK/77WLQn2kpR1kJO/grnV4NcCaN+Bgf3Ki8lCALbFn+DKi0V1wY+9Jv4qsn+tmQyGfcMG83QKdNR2toRG3GCvz98i7wME6gbPJvA+DVg7w6Jx+Dvx0BXg+cCStQbpCRJwqqMaTaGIOcgMosyWXZhmdn3S4vNQ68z4OhqK8q0bsAvtCmPvP+JmChFXuTfTz8yzd2yinKbviS4Nlh2d02R3GXFQFa0+OEear2kIKB0qGxGfD6aIsvJNm8kf6vo8ud0330o3NysFkeVaDmCKzZKXio8y8s7XiYuLw5Pe09mdp3JXw/9RUffjibZxsnGiemd5yDLGYwgyFC4HeWj4y+TWphqkvUlzItMqSRg3lxcBg4ErZakV1+jYO/esudf7B0KwKZzqVzJkKoBdyX9Imx6Rzx+4AMI7lKt5c7t2sblQ/uQyeU89Nrb2DuZfghg03u7Mvbjz3Dy8CQz4Sp/vDeF5MhL1V/YtyU88S/YOEHsHlj5DOit934uIQFSkiRhZWwUNrze6XUAlp5bWq6p2xwklUrtApq53/YOm2+TMB55/xPsnZzFRGnOh5ZLlIyVpMRjoh3sdRidv/ZFZqLV14Dp9lGlUruQ+8HeekmBs4cdrg0cEARIibGezKdWSu2APE0ec6/8y6jAAPY72KOUyXm61dNsGLGBEU1HoJArTLrf7A0XyUvtSYPCl3G1deVs5lnG/jeWY6nHTLqPhHmQKZUEzp+HS//+CFotia+8SsG+/QA093Olb3MfBAEW771i5UhrONoiWPE06Iog9AHo+lq1lstKjGfnLz8A0H3cBAKaNTdFlLfEL7Qpj3/yJQ0aNUGtymX5zHe5dGBP9RcO6iy63insROnvuldv+hyUkLAkUpIkYXUGNBxAa6/WqHVqvj/9vVn3So4Sm0IDS62jb4dvkzBGvz+7bE6ExRIl39binbSSPMgoP4SzbaAbXk625JfoOHG1BjS3Gq2/m1ne+vtGjNJJ4/9fS6NJTKL4/HmQy3F58EGrxFBZ9AY9yy8vZ8iqIfx+8Xd0MuhdqGaNrCFTOk/B2db0d6F3XU5nbUQychl8PWws/wz5h3CPcLKLs3l+6/P8fuF3yUK6FiCzsSHwi89x6fcggkZD4ssvU3DgAAAvlVaT/j2ZSKqqBvVP1jQ2vyu+xzv5wIgfqtXTqdWU8N+Cueg0JTRs24EuD480YaC3xsXLm3Ez5hLa+V70Wi0bFs7n0Mq/qv/326QXPPILyBRw+k/YPE3s25KQsAJSkiRhdWQyGVM6TwHg38h/iVPFmWUfvdZA6pVb9yPdipsSpU8/oERdaJbYylAoxbtpcJPkTi6X0aumuNyVFMBV8aLIGvORbsTYl5RkpaGy+dtEqZ1j584oPT2tEkNlOJZ6jLH/jWXW4VnklOQQ6hbKD10+4H/pmTSMPWgWh6nCEh3vrz4HiJbRbYPcCXIJ4rfBv/FQk4fQC3rmHpvLu/vfpUhnxXllEhVCTJS+wLlvXzFRmvQyhYcO0bmRJ/c08kSrF/hpv1RNuiXnV8OJXwAZjFwMztWbD7bn1yVkJlzF0c2dQS9PQWYhEx1beweGTp1OpyEjADi44g82ffMFOo2megs3fwiGLxKPj/4Au+dUM1IJiaohJUkSNYIufl3oGdQTnaBj4amFZtkjLS4PvdaAg4sNHn4VG9JXLlGKusy/n3xo/kQp5NZDZeGay91ua89LurIb9BrwaATeTa0bC9eS3oyr+WhLTGBNW0muSe2sZ2BRERLzE5myewrPbHmGyzmXcbV1Zdo901gxdAVdW44Bn5Zg0MLlTSbf+8ttkSTlFhHo7sCUfs3KHndQOjCn+xze6fIOCpmCDVc2MGHTBBLzE00eg4RpkdnaEvTVlzj37o1QUkLCS5MoPHykrJr0x5F4ctXVvGCua+TEwbpSaV2PKdXu54w8vJ/T28S/10GvTMXJ/c4qCVMjlyvoPf5Z+r3wCnKFgov7d7Ni9vuo86opfW43FgZ/Lh7vmQuHvq1+sBISlURKkiRqDJM7TkYuk7Pt6jYi0iNMvn7ZfKSmHpVy/PFtEsboDz7B3tmFlGgLJErGvqRbmDf0bNoAuQwup+WTnGvFu+1lrnYDqmVXaypcvR1w9rTDYBBItXBfkjYtnaJTpwBw6VczpXZqrZqFJxcybM0wtl3dhlwmZ1z4ODaM2MDjLR7HRm4jvtA4M+n8GpPufzohl18OxALwyYjWONkpyz0vk8l4ouUT/Nj/RzztPbmUfYmx/43lYNJBk8YhYXpktrYELvwap149EYqLSXjpJe5RxdHczwW1Rs+vh65aO8Sag14rGhKU5Inv873frdZyqvQ0tv7wPwDuGTaaRm0tP6vOSNu+Axn57owyd9g/35tCVmJ89Ra953l44H3xeMt0OPlb9QOVkKgEUpIkUWNo6tGU4WHDAfjqxFcm701ILrWIvn4+UkXxbRzKI5ZKlIK6gEwuzs3IL+/65eFkS4cQ8U7h7stWqiYJAkSJ8jKa1ZzKSWCpy12yhYfK5m8XfxcO7dtj4+tr0b3vhkEwsD5mPQ+vfpgfz/6IxqDhXv97WfHwCt677z3c7d3Ln2C0Ao/ZKQ64NAFavYFpq85iEGBY+4Ayl8Zb0cWvC/8M+Yc23m3I0+Tx4vYXWXJ2idSnVMOR29oStHAhTj16IBQVkfDSS0zxFXs4fzkQi1ojuZQBsHOWOAPP3g1GLQGFTZWX0ut0bFg4jxJ1If5Nw+k65gkTBlo1GrZpz6OzPsfd1x9Vehp/vv8mcWdOVW/RHm9C11fF4/WvmfwGjoTEnZCSJIkaxaR2k7BX2HMy/SS7Enbd/YQKotcZyioMAVVIkgB8GjUplyit/OQDigvNYHNr7wo+rcTjW1ST+oRbuS8p9Qzkp4CNIzTsbp0YbkHZUNlIy5o3GK2/a5rU7kzGGcZvHM/0/dNJL0onyDmIr/t8zY/9fqSZR7Nbn+TTHBo0r5DkTqfVkpeZQWpMFDEnjnJ251aOrF5OxJYN5XoSluyL5WJKHu6ONnwwpOVd4/Zz8mPpwKWMajoKAYGvT37NlN1TKNSaWeYqUS3kdnYEffM/nLp1Q1CrCZk3nT7aFHLUWv45lmDt8KxP9HY48LV4PPQbcXBsNTi4/HdSoi5j5+jEQ6+9jUKpvPtJFsArMJhHZ39OYPNWaIrUrJrzERFbN1Z9QZkM+s2CjhNAMMC/z4m/SwkJC1Az/qokJErxdfJlfMvx/Hj2RxacXEDPoJ4o5dX/Z5oel4dOa8De2QZPf6cqr2NMlFbMeo/U6Ej+/eQDRr03y/TzKELuhbSzYl9Sq+Hlnuod7sPnWyM5EJ1JiU6PndK0Fs13JbLU+rtJb7Cxt+zed8DYl5QWl4dOo0dpa/7fiy47G/Ux0bq6plh/p6vTWXBiAeuvrAfAUenIC21fYHzL8dgqbO94rl6npTBkEOr4RNQ7VlKY5YlalUuhKofC3FzUqhzUueJ/lxTePmmJPn6YYW++R1K+ngXbIwF4/6GWeDvbVehnsFXY8nHXj2nt3ZpPj3zK9vjtXNlwhQV9FtDYrXEFfxMSlkZuZ0fQt9+QOGkShQcPMXXHd6Tc8yw/7rXnifsaYqOop/dl81NhlTg4nS7PQcuh1Vou7vRJjq5dCUD/ia/i5lOzKtiOrm6Mfn822xb/jwt7d7Ljp+/ISU6k14RnkVdlpIBMBkMWQEm+aHrx9xMwYc21/l0JCTMhJUkWpPjSJZQ+PrXC/cqaPN36aVZEriBWFcvq6NU80uyRaq9pdD0LbHr7+UgVpSxRmv0+qTFR5kmUgu+DY0tuWUlqFeCKj4sd6fklHIvNoXtTb9PtWxHK+pFqVuXErYEDjm62qFUa0mLzCAw3fwNz/o4dYDBg37IltkFBZt/vTpToS/j1/K/8ePbHMne44WHDebnNJBw1SrLjrpYlPMZE5/rvalXudZXRDhBXDEfubKIiVyhxdHPDyd0DRzd3HF3duHx4P1fPnGLVZzNY7zOIEp2B7mHejOoYWOmfaXSz0TT1aMqU3VO4orrCYxse49Pun9InxHrDiyXujNzenqBvvyXhpUmoDx/m00NLeJfnWRsRzuhO1v0bsQoGA6x6AdSZ4oiH/p9Ua7nC3Bw2ffslAO36DaLZfTWnmn89ShsbBk56A8+AIPb//SsnN60jNy2Fh157C1uHihknlUOugBGLxUQpejv8MQae+g/825o+eAmJUmRCHRd75+Xl4ebmhkqlwtXV1WpxCIJA7PARaK5exX30aLyeeRqbgACrxVPT+ePiH3x29DO8HbzZMGIDjjZVeFO9jnVfnyLhYg49xjalbZ9gk8SYHneFFbPfpzg/D98mTRn93izsnU2UKOVcha/bglwJ0xLAtvzP//bK0yw/nsiz3RtXSMJkMgozYX4YIMAbF8Ct8he+5mTrknNEHU+ny5DG3DPE/BWH+Oeep3D/fhpMnoz3ixPNvp8RvU6LWqWiMDeHwtwcjsceZNelLWjzC3EoUeAtuOEneKAvKKq0JFSuUOCo0OAoV+MU2BzH4BY4ublfS4TcPMRjd3fsnZxvuumQdOkCqz77CE1REcl2fmwNGsKGqf0J8ar633BmUSZTd0/lZPpJACa2nchL7V4y+aBbCdNhUKtJePEl1EePUqi057shk1ny6QTkcusbvViUfV/AjpmiPPmF3dAgvMpLCQYD/875iKtnTuEd3JDHPv0SG9uKVWetSeTh/Wz65kt0Wg0NQhox/J0PcfWuou25Rg2/j4T4Q+DoDc9sAe8w0wYsUeepaG4gJUkWQpeVRcLEFyk+J84JQanE7aGH8Hr+OezCpD/wG9HqtQxdM5TEgkRebv8yL7Z7scpr6fUGlryxF53GwLgP7sEr0HQVn4yrsayY9R5Fpk6UBAG+bCH2/jz5HzTuUe7pjWdTmPTHSZo0cGLn1N7V36+inP4bVk8E3zbw0n7L7VtBzu1NYs+flwkMd2f4Gx3NupdepSKyW3fQ6WiycSN2TaqXlBkTH7UqV0x+rqvwFObmlFaBclHn5lQt8XFzx/G6ZMepLOG57ru7h5j47PoU9s6D8Ifg0T8r/bNcPH2O1Z99hJ2hBHmDYF78bB4Ozi6VXud6tAYtXxz/gj8u/gFA98DufNbjM9zs3Kq1roT5MKjVxD73PJqTJ8m3caDgk694YGgva4dlOeKPwC+DQNDDsG+hQ/XMFY6uXcm+P5eitLXjiTlf4RVUvb4mS5IaHcma+bMozM3B0c2d4W9/gH9YFRPGYhUsHSL2x7oGwTObwd00Nz8l6gdSklRKTUmSQKwmqQ8fJnPxYtSHrsmonB/si/cLL+DQViobX8/m2M28tfctHJWObBy5ES8Hryqtk3pFxb/zTmDnpOTZ+T2QmfhOZkZ8HCtmTi9NlMIY/d5s0yRKy5+EC2tEC9Seb5V7Kq9YS4eZ29AbBPa+1adad+krxYqn4fwq6DEV+n5omT0rQXZKIX/NOILCRs7zX/VEoTRfD0TumjWkTHsXu6ZhNFm//pavKZf4qMSqT1niU5rwFKpKpW4F+ZXaX5DLUNtqKbLVo7GHYN8mtG3UBTePBji6u+NUlgCVVnwqM2Ay7Tws6goKO3grWjQTqQSv/nWKQ0fPMCr9P2x1RTRo2JjR78/G0bX6Cc36mPXMODSDEn0JwS7BLOiz4PZGFBJWx1BYyMFHxuN15SJqO0da/vErDq1bWTss86POhh96gioB2jwCI3+s1riE5MiL/P3ROwgGA/0nvkabB2qW3Lki5GWms2buTDLi41Da2DLw5SmE319FuWBhJvw8ELKiwCsMnt4Mzg1MG7BEnUVKkkqpSUnS9RSdPUvW4sXkb7vm0uJ43314Pf8cTl27Vrtvpi5gEAw8vuFxzmWdY1z4ON67770qrXNicxyH11yhSfsGDHqxjYmjFDFLonR4EWyeBmH94ImVNz099odDHInNZuawVky4v1H19qoIeh3MbyLexXt2GwTfY/49K4kgCPzy9n6K8rWMfLMj/mHuJt9Dr9OhzsvlyrRp5J46hW3/fsg7d7yW+FxX+als4iNXKHB0dcPR3aOs0mNMeBzd3bFzcWZPziGWxf5FFnkggwGNBjCl0xQCnE0o3xUE+KYzZEXDqJ+gzegKn7rrUjpPLz2GXAZ/jGpExOI5qFW5eAWFMPr92Th7VL8n82LWRd7Y/QZJBUk4KB2Y0XUGgxoPqva6EuYhLTWbA6Mep0VWHAZnF0J/W4Z9ixbWDst8CAL88wRc+g88m8DEvWBX9UpqcWEBv73zGnkZ6YR37clDr71Va68RNEVqNiycz5WTouFNt7HjuXfEmKr9PKpEMVFSJYBfG1F14eBu2oAl6iRSklRKTU2SjJTExJC15CdU69eDTpwlYd+qFV4vvIDLg32RKeq35v5Y6jGe2fIMSpmSH/r9wD3+lb8wX78wgvgL2XR/pCnt+pqvJJ8ZH8fyWe9RlKfCp3Eoo9+fXT2JUdJJ+LGPOFPj7Ti4oRLw/Z4YPtt0iT7hDfjlaQskLHEHYOlgcPSCN6PERtoayObFZ4k5mcG9w5rQeVCjSp9vMOi5evoU6Vdjy1V6jMlPlROf66RtYuLjfl0yJMrg7lTx2Z+0n3nH5hGrEoeytvBswdtd3qazX+dK/4wVYscs2Pc5NB8C4/6o0CmFJTr6f7WXpNwinu/RmPceakl2chIrZk2nIDsLD/8ARr//Ca7e1b/jm1ucy9t73+ZQyiEAnmz5JJM7TTaJG6aE6fn47yO0/fojWuRcReHuTsiypdiHV70/p0Zz9EfY+CbIbeC5bRBQ9SGvgiCw/qs5RB05iJuvH+M/+xo7x6o7tNYEDAY9e3//mRMb1gLQskcf+k18DaVNFeZGZcWIiVJhumh4NH71TT28pkQQBPRag0XcUyXMh5QklVLTkyQj2uRksn5ZSu6KFQjFxQDYNm6M13PP4vbww8hs72zdW5d5Zccr7EncA0DvoN681vE1mno0rdC5er2Bn6bsQ1uiZ+z7XfAOql5fxN0olyg1CmX0B9VIlPRa+CwEtGp46RD4ljdouJyaz4AFe7FTyjn9UX/sbcz8pr31Azi4ENqOhZGLzbtXNTizK4F9/0QR3NKToa+1r/B5JWo153dv4+Tm9ajSUu/4WplMhq1Gi71MgUenTji5e94y8XF0c8fB2aVyUrcbiFXFMv/YfPYl7QPA096T1zq8xvCw4eY1Lkg9C993B6U9vBUDdrevjGr1BnZfzuCn/Vc4fCWbIA8Htr7RE0dbMWHJTUtlxaz3yMtIw7WBL2M+/AQ3H79qh6g36Pnfqf/x07mfALjH7x7m95qPp73kIFrTSMhWM3jOJmbu/4HmOQkoPDzERKlZHZNKpp6FH/uCvgQGzIH7J1VrudPbNrF9ybfIFQoenTkfv7C68/s6vW0jO37+HsFgILB5S4ZOfa9qktzUc+INvGIVhPaFR/8GpWmumQx6A5mJBaREq0i9oiIlRkVhbgl2jkpcvOxx9XbA1fjd2wFXb3tcvOxRmvvzWKJaSElSKbUlSTKiy8kh57ffyP79Dwx5eQAo/fzwevop3B95BLmjhXpPahCqEhULTi5gddRq9IIeuUzOw00e5uX2L+Pv7H/Hc1NjVfw79wR2jkqe/dz0/Ui3wqSJ0tIhELcPhnwFnZ8p95QgCHT7bCfJqmJ+eboLfcKr6BZUUb69FzIuVVp+ZWkyEwv4Z/ZRlHYKnvuyB4q7zGbJTU3h1Ob1nNu9DU2RaJ1t7+RM445dcPb0KlfpMSY+WR98RMGWLXg9/zw+U6eY5efI0+Txw+kf+PPin+gEHUq5ksebP87EdhNxsTVvsg+IkqH/dYTsKzD6Z2g96qaXXEzJY+WJRNacSiKrUBwgq5TL+OXpLvRoWr5alJeZwYpZ08lNTcHZy5tH3v8EzwDTuCNuu7qN9/a/R5GuCD8nPxb0XkAr73rQ91LLeP3vU2w/GsO3p37BN+UKCk9PGi5bil3Tit30qvFoCuGHXmKfTLOB4sV6NWRxGfFx/Dl9Cjqthl5PPEPnh0eaMNiaQdyZU/z31WeUqAtx8/VjxDsf4RVYBcVHwlH4dZh4U7HlMBj9S5XUDiVqLalX8koTolzSYvPQaQyVXsfJzRZXbwdcvO1x9bqWQLl6O+Dkblf/XB5rGFKSVEptS5KM6AsKyf3nH7KXLkWXkQGAws0Nj/Hj8XzicRTu7tYN0ArEqmL536n/se3qNgBs5bY82vxRnmvzHO727rc85+SWqxxaHUPjdt4MfslyxhiZCVdZMes91Krc6iVKO2fD3vnQdhyM/OGmp99ddZa/jsbz5P0NmTGstQkivw1GS3KZAt6OAQfzzyCqKoJB4Ke39lFSqGPUO53wa3zznUlBEEg4f4YTG9eK2vjSt0HPwGA6DhpKyx59sLG/9aBcQ3ExkV27IajVNFqxAoc2pv296w16VkWv4ptT35BdnA1Ar6BevNn5TRq5NTLpXndl+wzY/yW0GApjfwMgu1DD2ogkVp5I5HxyXtlLvZ3tGNEhgDGdg2nqe+t/6wU52ayY9R7ZSQk4uXvwyAefmMyhKyY3htd3vc7VvKvYym15/773GdF0hEnWljANl1LzGLhgHy5aNSui/kSIvITCy0tMlOqCy+ualyHid3DxhxcPgFPVzIYAtMXF/D79DbKTEmjcvhMj3vmoWhXpG7mUmkeuWsu9jT2t3t+UlZjA6rkfo0pPw87RiYffeJeGbdtXfqGYnfDnWNBrRCfBod/cMUkVBIG8zGJSY3JJiRGrRNkphXDDVbGdoxK/Jm74hbrhH+qGV4AzhXkl5GcWk5dVRF5G6ffMYvIyi9CW6O8Yplwhw8XTXqw63aISZe9kY/X/J3UdKUkqpbYmSUYMGg2qNWvI+ukntFfjAZA5OuIxZgyeTz+FjW/NmrRtCc5knOGrE19xPO04AC42LjzT5hkeb/E4DkqHcq9d/7/TxJ/PotvoMNo/aFm71KzEeJbPnI5alUuDRk145P3ZOLhU8t9g1Hb4YxR4NIbXI256euv5VF747QQhno7seau3+d5YjRr7kK7wzCbz7GFCNi46Q+zpTO4fEUrHAQ3LHtdqSri4bzenNq8nMz6u7PHGHTrTcdBQGrbtcNffYf727SS+8io2AQGE7thu0t/5sdRjzD06l8s5l8W43Brzdpe36R5opYGRKafhh54ISgd2Dj3E8tNZ7LyUjlYvfmzYKGQ82MKX0Z2C6NmsAboiHTkpavzD3G77e1Grclk5+30y4uNwcHFl9Puz8WnUxCTh5mvymb5vOrsTdwMwNnws73R5BxtFFXodJMzCM0uPsfNSOhNaefDUqs8puXgRhbc3DX9dhl0T0/w7sApnlsOq50EmhyfXQ6Pq/c1u/WEhZ3duxcnDkwlzF+Lo5m6SMKPT8/lyWyQbz4qS4vubePH+kBa0CrCulb46T8Xazz8h+fIFZHI5Dz47ibYPDqz8QhfWwYonQTDA/a9A/9lliZJeZyAjIZ/U0oQoNUaFOk9z0xJuDRzwDxWTIr9QNzz9nCqsQhEEgeJCbVnClJ9VjCqziPxMMYnKzy7GoL/zZbeNnaKs6uTqVVqNMlaivBywsZOkfNWlViRJe/fuZf78+Zw4cYKUlBRWr17N8OHDy54XBIGPPvqIH3/8kdzcXLp168aiRYtoWonSfG1PkowIej35W7aQufhHSi5dEh+0scF9+DA8n3kGu8bmH5xZkxAEgf1J+1lwcgGROZEA+Dj48GL7FxkRNgKlXIlBb2DJ1H1oi/WMmd6FBiEWkCjdQLUTpWIVfNYQEESzBOfykrrCEh3tZ25FqxfYObUXTRqYbgZUOX4fDdHb4MGPofsb5tnDhERsj+fAymgatvFiyMvtyM/O5PTWjZzevpnifLH6YWNnT6vefekw8GE8A4IqvHbS22+Tt249nk8+ie+700wSb1JBEl8e/5KtV7cC4GLrwsvtX2ZM+Bhs5Na7wL+YrMJ32f14liQxSfMaGw33AdAm0I3RnYIY2i4ADydR+58clcPmxecoytfi29iVHmOa4dv41v/Wiwry+feTD0i7Eo29kzOjps80Wa+FQTDww5kfWBSxCAGB9g3a80XvL/BxNLMcVaJCHI/LZvT3h7BRyNgzsSPFr71EyaVLKBs0IOTXZbXzsywrRrT71hRAr2nQ591qLXfpwB42LJwPMhmPvD+bkNbtqh1iQraar3dEsepkIgZBzBts5HI0egMyGTzSKYg3+4fj43rrCrol0Gm1bP1hIRf37QKg00PD6PnEM8grK5s79QesnUSxwZnU5h+R4tCXlJhc0q/mo9eWl87JFTJ8Grrg18QN/1B3/ELdcHQ1Xw+4wSBQmFtCXmnSJFagisSqVGYRhaqbk7YbcXCxuVZ5Kq1CuXjb4+btgLOHHfK7SMythcEgoBcEbGpAfLUiSdq0aRMHDhygU6dOjBw58qYkae7cucyZM4dly5bRuHFjPvjgA86ePcuFCxewv40U5kbqSpJkRBAECvfvJ+uHxaiPi5UUZDJcBgzA6/nncGhVv3T4BsHAhisb+DbiW5IKkgBo5NqI1zu+TmtDF/6dewJbByXPftHDahrgrMQEls98V0yUqjIv5ruukH4exvwGLYfe9PQTS46wPzqTD4a05NnuZrjA0KhhXmPQFd/SQKImkhGfz/JPj6GQpxMUHk/UkQMY9KIEwrWBDx0GDKH1A/2xd6pcUiloNER2644hP5+Gf/6BY8fqDaxVa9X8dO4nlp1fRom+BLlMziPNHuHl9i/jYW8dSWN2oYZ1EUmsPJnIuaQ83lH+xUvK9WyT3c/Rzl8yqlMQzf2uvZcKgsDZ3YkcWBGNwVD+4yT8Xj/uGx6Ks4fdTfuUqAv5d85HpERewtbBkZHTPiawuen+be1N3Mu0vdPI1+bj7eDNl72/pINP1V3GJEzHI98f5FhcDs/3aMw7Xf2Jf/IpSiIjUfr40PDXZdg2amTtECuOrgR+6idWXRt2gwnrQFF1h8XctFR+e+dVNEVF3DtiLN3Hja9WeOn5xXy3K4Y/jlwtqwD3b+nL1P7hONkpmLv5MutPJwPgaKvgpV6hPN+zifmNgG6DIAgcWfUPB5b/DkCTTvfw0GtvYWvvcNfzVOlFpJRK51LPxZGjuvl9x97Jpkw25xfqhk9DlxplsqDT6MnPLi6rROVllX4vrUqVqHV3PF8ml+HsYVeuElV27O2Ag4vlpXyCILAnMoN5my8zsmMgz/WwfsW4ViRJ1yOTycolSYIgEBAQwNSpU3nzzTcBUKlU+Pr6snTpUsaNG3fLdUpKSigpKSn777y8PIKDg+tMknQ96pOnyFq8mILdu8sec+rWDa8XXsDxni71StOq0WtYfnk5i88sJqckB4CBqsdodOFeGrX15qFJ1h3UWy5RCmnE6A8+qXii9N8bcPxnUTow4JObnl6y7wqzN1ykR1Nvfnv2XhNHDlzeDH+NBbdgmHy2Wo3IlkCv0xF5+ABbvv8dvTal7PGgFq3pOGgooZ3vRV5Fa/2CvXtJeGEiygYNCNuzu8o9AoIgsCF2A1+d+Ip0dTogOrO93eVtwj0tb4us1RvYczmDlScS2XEprZyc7pnGKt5NfBHBxhHZWzHl7HV1Gj27/7zM5cOidKdpF1/uebgxJzbGcan0MaWtnI4DGtKhX8hNtrmaIjWr580k8cI5bOzsGfHOhwS3Mt3f6tW8q0zeNZno3GiUMiXv3PMOY8PH1qv3xpqIcZaWk62CA9MewLm4gPgnn6QkKhqlry8Nf/sV2xDLyqOrzOZ34fB34OAJL+4Ht6qbkeh1Wv7+8G1SY6IICG/J2I/mVPm9SqXW8sPeGH45EEeRVrxB1C3Mizf7h9MhpPwNmBNXc5j13wUiEnIBCHCz5+2BzRnaLsBqNxcvH9rH5m+/QqfV0KBhY4a//WG50QE6rZ6Mq/liQnRF/CrK1960jrsiEX/bS/jd2wX/3v1x93Ws1X//xYVa8ssSJ2MiVSrlyypGr7uzyYTSVo7L9YmTV3kpn62DaUconLiaw7zNlzgSK/bXhng6suvN3iisbFxR65OkK1euEBoayqlTp2jfvn3Z63r16kX79u35+uuvb7nOxx9/zIwZM256vC4mSUaKL0eStWQJeRs3Qundcod27fCa+ALOvXubtNmzplOgKWDp+aX8euFXep8dT8PcVqS0Pc34cYOtcvF5PVVOlE7/A6tfgMDO8PyOm56OySig7xd7sFXIOfVhP5zsTDwnxpikdX4Whnxp2rVNSFF+Hme2byZi6wYKsrNKH1Xg37QLfZ99FN/GodXeI/n991Gt/BePxx7F78MPq7TGucxzfHb0M05nnAYg0DmQNzu/Sd+Qvhb/8L6UmsfK44msiUgis+CazKOcnM7RBr5uB7lX4ZFl0Go4AHlZRWz+4RwZ8fnI5DK6jgylXd/gsp8hLS6P/cujSL2iAsDZw46uI8MI6+xT7ufUlhSz9vNPuHrmFEobW4a9+R6N2ncy2c+o1qr58OCHbInbAsCw0GG8f9/72CutJyuq7wiCwKCv93EpNZ8p/ZrxWt+m6DIzufrkU2hiYlD6+4sVpWDzzbUzCZc3wV+lN2wf/QfCq9BDcx17fv+Z4+tXYefkxIR5/8PVu/IS0cISHUsPxvH9nhjyi8WqQ/tgd94aEE63MO/bnicIAutOJzN30yWSVeIYknbB7nw4pAWdGlrHUj8l6jJr5s9CrcrF0c2de4a/SkmRFykxKtLj8zDoyl++KpRyfBq5iFWiJm74NXHF4cDHYhIrU8CYX6HFEKv8LJZAMAgUqjTkZZX2QGUVk5dxrRpVkFtykynFjdg72ZTamDvg1sD+WkLl5YCLlz0KZcWuJyPT8pm/5TLbLqQBYKuU8+T9DXmpdxieTtYfaVPrk6SDBw/SrVs3kpOT8fe/ZvM8Zow4mfmff/655Tr1qZJ0I5qEBLJ+/hnVv6sQNOIFj13TMLyeew7XwYORVWVQWy0lvTCD5dNOIdMqWdlmPlnOSTzU5CFe6fAKgc6msR2uCllJCayYOZ3C3JyKJ0o5ceJFqtwG3k0Am/KyA0EQ6DV/N/HZan6c0Jl+LU1o5iEI8FVryEuEx5ZDswGmW9tEZCZc5eSmdVzcuwudVvx37+jmjk+TrqRcCaZJh4YmcTYUdDqiuvdAn5tLyNJfcLrvvkqdn6HOYMHJBayLWQeAg9KBF9q+wPiW47FT3CwLMRc3yumMeDvbMqJD4E1yOuDajKxWI+GRX0i8lM2WJecpLtBi72zDgOdbExR+szxQEASij6dzcFU0BTni+7JfEze6j2mKb6Nre+g0GtZ/NYcrJ4+hUCp5eMq7hHYyXVVUEASWnV/GVye/wiAYaOnVkq96f0WAc4DJ9pCoHGsjknj97wg8HG04MO0BHG2V6DIyxETpyhWUAf40/PU3bIOs9359R1RJ4hyxomy4bxIMnFOt5WJPHWfVZx8DMHTqdJre07VS55fo9Px5JJ5vd0WX3fAI93XhzQHhPNjCp8I3YIq1en7aH8t3u6Ip1Ig3XR9q68+0gc0J9rTMCBLBIJCTpiY1RsXVc7FEHliCTpMBKLFxGojCVuxfdHCxKesl8g9zo0GwCwqbGy7iDQZY96roOqiwhcdXQJPeFvk5ahp6rUGU8pVVnopQZYjf8zKLKS68uRJXDhk4u9tdq0A1EL+7lMr6nNxsSVIV8dW2KFadSkQQQC6DRzoF8/qDTQlwv7Nk0pLU2yTpRupaT1JF0GVkkP3rr+T8+ReGwkIAbAIC8Hz2GdxHjUJewX6u2kz61TxWzDmO0l5O9LANbI7fDICN3Iax4WN5vu3zVhs4eX2i5B3SiEfuligJAnzRHApS4amN0KjbTS/5cO05fj10lcfuDeHTEW1MF2zaeVjUVRwo+nasWSeZVwbBYODKqeOc3LSO+LMRZY/7NA6l0+BhNLu/B5mJanFGlpOSZ+dXf0ZW4eHDxD/1NAp3d5ru34dMWbGKXYm+hN8u/MaPZ35ErVMDMDR0KK93fN1iZgJ3ktNd705324bapBPw4wMISidOd9nHwTVXEQRoEOLCoBfb4OJ55/cUrUZPxLZ4Tm65WjZzpPl9Yr+Sk7uYIOp1WjYsnE/UkYPIFQoeeu0tmt1nWle/wymHeWvPW+SW5OJh58H8XvO5198MElWJu6LTG+jzxW4Ssov4+OGWPNVN7KfUpqcTP+FJNHFx2AQE0PC3X7EJrGGJkkEPyx6GqwfAvx08uw2UVb/RUZCdxa9vv0pRfh7tBzxE32deqvC5Or2BVaeS+Hp7FEm54py3hl6OTOnXjCFtA6osa0rPL+bLrZH8czwBQRArAc92b8yk3qG42Jv2hqtOoyf9al6ZDXfqFRUlhdd6bwShBG3BBgy6OADCu46g27hxuPtUUDqn18HKp+DierBxgglrIbiLSX+GuoCmSFfOyjzvOllffmYROu2dpXyCHHIwkCsXUMkF/AKcGXhvIOGhnrh4idbmNYVanyRVVW53I/UxSTKiz8sj56+/yf71V/RZovxI4emJ54QJeDz2KIo6/Pu40d3sfNZ5FpxYwOGUwwA42TjxVKunmNByAo42lr/wz05OZPnM6RTmZFcsUVo+AS6shb4fQo+pNz1t1PgHuNlzYNoDppNt7fsSdsyApv3FO3BWRlOk5tzuHZzavI7cVLHfSCaTE3bPfXQcPIzA8JZle4lDCwAAfRBJREFUP7teb2DJlH3oSvSM++AevAKr5/yXOnMmOX/+hdvoUQTMnn3X1wuCwM74ncw/Pr/MVKStd1um3TONNg1MmMjegQrJ6SoifRAEtF92YlfCUKKKewIQfp8fvR8Lv6nP6E4U5BRzeM0VLh8p7VeyU9BpQEPaPxiM0laBQa9n07dfcunAHmQyOYNefoMWPfpU7oe+C8kFyUzeNZmL2ReRy+S80fENnmz1ZK3uU6it/Hb4Kh+sOUeguwO73+pdlqRr09KJnzABzdWr2AQF0fDXZdgE1KCq3+7PYPccsHWGiXvBq+pSXoNBz7+ffED8uTM0CGnEY598idL27n+TBoPApnOpfLHtMlcyxJuhvq52vNa3KWM6B5vMQexCch6zN1zgYIx4DeHtbMuUfuGM7RJc5QSsUFVSZsOdEqMiMz7/JtMXpY0cn0au1xksOHN41TJObVoPQKteD9LvhZdRKCt44a0rEWcoXdkF9m7w9CbwrV9GV9VBEASK8rVlJhJGZ76cdDUpSQUIah1y7vzvwdZBScNWnvR/zowzHStIrU+SjMYNb775JlOniheFeXl5+Pj43NG44Ubqc5JkxFBcTO6qVWT/9DPaJPFiTe7sjMej4/CcMAFlgwZ3WaH2seG7M8SdyeT+kaF07H9tTs7B5IMsOLGAi9kXAfCy9+LFdi8yqtkoi1stl0uUghuKidLtZmEc+ha2TIemA+Dx5Tc9XaTR037mVkp0Bra+0ZNmtxnmWWl+Hgjxh2Dw53DP86ZZswrkpqUSsWU9Z3duQ1MkVmPsnJxo88AAOgwYgmuDW1dk1i2MIOFCNj3GNqNtn4rbfN+IYDAQ3as3uowMghf/gHPPnnd8fWROJPOOzuNI6hFAtKef3GkyDzV5CLnMvD2Cd5LTDW8vyula+FfuvVCVUcSm+VvJynNBLjPQbUxz2vQOrHJikRqrYv/yKNJixfhcPO25f2QoYZ18EAQD2xZ/w7ld20Amo/8Lr9Lmgf5V2ud2FOuKmXV4Vpn0cWCjgczoOsMqN0zqM8VaPd3n7iKzoIQvHmnHqE7X/ka1aWlcHT8BbXw8NsHBYkXJz8+K0ZYSt1+sIgkGGPkjtB1TreWOrF7O/r9/RWlnxxNzFuAVeOc+LEEQ2B2ZwedbLpcNc/ZwtGFS7zDG39/QLK50giCw42I6n268yJVMMSFr7ufCew+1oEfTO18/CAaB7JTCsrlEKTG55GUW3/Q6Rzfbsl4i/1B3vEOcUdwi0YvYsoGdS39AMBgIatGaoVOnV3yshqYQfhsBCUfA2VdMlKqR4NZnSnR6/jgczze7osku1CAXoJOPC0+3C6ahna1oLnGdM5/RVKNJ+wYMetEyNwnvRK1IkgoKCoiOjgagQ4cOfPnll/Tp0wdPT09CQkKYO3cun332WTkL8DNnztRrC/DqIGi15G3aRNaPP1ISJf7eZba2uI0cgdezz9b8JtkKYjAI/PzmPkrUOkZP61yu9wFE2/CtcVtZeGohCfkJAIS4hPBqh1fp36i/2S9iryc7OYkVM9+lICcbr6AQxnz46a0TpcQTsOQBsHcXZW+3MON46pej7L6cwbuDmjOxlwne+NXZMD9UvBiYfBbcLes2JQgCiRfOcmLjOmJOHBFlh4BHQBAdBw2lVc8HsLnL+8DxTXEcWXuF0I4NGPhC1d+Y1SdPcvWxx5G7uNDswH5kt7nTm1Ocw7cR37IicgUGwYCt3JanWj/Fs62fNesF+J3kdH2bi3K6XuF3kNPdgfgLWWxdcp4StQ4HeS4Dvf9HwAcbb+qNqyyCIBB1LI1Dq2PK+pX8w9zoMaYZ3kFO7Pj5e05v2wjAA8+8SIcBpm24FgSBvy//zbyj89AJOsLcw/i6z9eEuNYSV7U6wne7o5m3+TJhPs5sndyznJuaNiWFqxOeRJuQgE3DEBr++qt1B6gXZol9SPnJ0P5xGP5dtZZLunSBf2ZMQzAYGPDSZFr3fvCOrz8am838LZc4Fic6uDrbKXmuR2Oe7d7Y5BK4W6HRGfj98FW+3hGFqki86H2guQ/TB7cgzEes1GtL9KTFipI5UTqXh6boBttqGXgFOJdZcfuHuuHiZV/hmy5xESdYv2AumiI17n7+jHjno4rPuivKhaVDIO0suIXAM5ur5UhY39AbBFafSuKrbZFl8s7G3k682T+cQa39buuGqC3Rk5dVhAwZngFOlgz5ltSKJGn37t306XOzlOLJJ59k6dKlZcNkFy9eTG5uLt27d+e7776jWbOKDx2UkqSbEQwGCnbvJuuHxRSdFh22UChwHTQIr+efxz7cNEMdrYVxRo6NvYLnvuhx28FqWr2WlVEr+f7092QXi/aULb1aMrnjZO4PuN9i8VYoUdJrYU4w6Ipg0hHwaX7TOssOxvHRuvPc18STv18wQfxnV8K/z0KDFvDy4eqvV0F0Gg2XDuzh5Ma1ZMTHlT3eqF1HOg4eRqO2HSrs2Jgcncvqz0/i4GLD0/O6V7nykTbnM7KXLcN16MMEzpt30/Nag5bll5fzbcS35GvyAejXsB9TOk0hyKXqFay7cTs5XetAV0Z3DGJo+8AqOwkJgsCprfEcXhODIIBPIxcGySbjXHQOxv5hMpcobYmeU1uvcmprvKh5l0Hz+/25d2hjjq/7jRMb1gLQ64ln6PzwSJPseT2n0k8xZfcUMosycbF14bMen9Ez6M6VQgnTkVespducneSX6Fg8vhP9W5WvFmmTk8WKUlISto0aEbJsGTa+VhgMLAiik13kZvBqCi/sBruqS3iLCvL57Z3XyM/MoEX33gx6Zept35/OJamYv+UyeyIzALBTynmyayNe7BVqFaewXLWGr3dE8duhq9jrBIL1Ch7wdiNIryAnuRDhRumcnQLfUumcf6gbvk3csKum1XRmwlVWz51JXkYadk5ODJ0yveJDdwvSRZVEdgx4NxMrSk63d/6TED8Ptl1I4/Otl4lMKwBEeefkB5sxulNQjRgQWxlqRZJkCaQk6fYIgoD62DGyFv9I4f79ZY879+qF18QXqj0o01qc3pHA/hVRhLTy4uFX7/6mqdaqWXZhGUvPLS1rrL/f/34md5pMSy/LDE7NSUli+Yy7JEq/PARX98PDX0Onp25aIz5LTc/5u1DKZZz8sB+u1b2z+O/zcHY5dHsd+s2s3loVoCAnm9NbN3B6+2aK8kTbaKWdHa169qXDwIfxCqp8pVOvNfDjlL3otQYe/ehePP0rfwdLEASi+/ZFl5xC0Df/w+XB8nd7DyQdYN6xeVxRXQEg3COcd+55hy5+5mkMNoec7kY0xTp2/nqRmJPiRVnLbv70HBeOYsf7cPhbaDMGRv1YrT1uJD+7mEOrY4g6JlrG2tgp6DgwBHX2Ho6tWwlAt7HjuW/kWJPuC5CuTmfq7qlEZEQgQ8ak9pN4oe0LFq0q12fmbr7Eot0xtA92Z/WkrjclC5rEJK5OGI8uOQXbxo0JWbYUGx8LJ0qHvoMt74LCThzF4Ff1yrQgCKz74lOijx3C3c+f8Z99ja3DzZXm6PQCvtoWyYazYv+lUi5jbJdgXn2gKX5uljdgMhgEspIKyvqJEiJzKFZpbnqdk7sd/mHGKpE7XoFOt71ZWR3UqlzWfD6blMhLyBUK+j47ibZ9K+jAmhsvJkp5SeDfHp5cD/bSNeKtOHIli7mbL3EyPhcANwcbJvUO5cmujaw2dLi6SElSKVKSVDGKzp8n68cl5G/ZUiZrcujcCe8XXsCpR49a1dS8cdEZYk9ncv+IUDoOaHj3E0rJKsrix7M/8s/lf9AZRHnAoEaDeLXDqwS7ml+KmJOSxPKZ0ynIzsIrKIRHPvgEJ/frbJV3zIR9X0C7x2DEoluu8cAXu7mSUciixzsyqI3/LV9TIQx6mB8m2tvexlHPVKRGR3Jy0zouH9qPQS/+3l28G9BhwBDaPDAAe+fqGS6s+eokSZdz6fVYOK17Vl5WUXT2LHGPjEHm6EizgwfK3CHjVHF8fvxz9iTuAcDDzoNXO77KyLCRKOSm/eDQ6g3sjRTldNsvmlZOdyO5aWo2/XCW7ORC5AoZPcc1o1WP0t9bwlH4qR/YusBb0WBj+gu11Csq9i2PIj1OTABdve3x8rvIxX2rAbhv5Fi6jnnC5O9JWr2Wucfm8s9l0Tm1d3BvPu3+KS62Jurvk7gt6fnFdJ+7C43OwF/P38f9oV43vUaTmMjV8RPQpaRg26QJDX9dhtLbQnf/k0/Bkn5g0JqkPzNiywZ2/LwIuULJY7M/x7dJWLnnE3PUfL09in9PJmIQxPndw9oFMPnBZjTytpxUSVOsI+1KHikxuaTEqEiLzUNboi/3GpkM7BvYc0FTwjlNCUlKA14NHJg2qAUDWvma/dpBp9Gw5fuvuXRAfB/u/PBIejz2JPKKvAdnRMIvg0CdCQ27wRP/VltGXJc4nyxWMHdfFm+W2dvIeaZbYyb2CsXNoeY41VUFKUkqRUqSKocmLo6sn34id81a0IqaY7vmzfF6/jlcBw5EVsXp35ZCMAj8VNqPNOqdTvg1rsCw1htIzE/km4hv2HhlIwICSpmS0c1GM7HdRLwdzPuhnJOaLFaUbpUoRW6FPx8Bzybw2qlbnj9z/QV+PhDLmM5BzBtdQenBrYg/Aj/3F12A3roCCtMOqDXo9UQdPcjJjetIjrxY9nhg85Z0HDSUsC73V3nS/I0c/S+WY//F0rSLL/2frbybUfoXX5D14xJcBg4kaMFX5GvyWXxmMb9f/B2dQYdSpuTRFo/yYrsXcbU17XvMpdQ8/j2RyOpTyWQWXJv/Zgo53a2IO5vJtp8voCnS4ehmy6CJbfBrct3fkMEAC1qLd1/H/QXNB5ts7+sRDAKRR1M5tDqGwtI71Y7O58hO2ApApyEj6PXEM2a5AFsdtZrZh2ejMWho5NqIBX0WEOouNXebm/fXnOX3w/H0aOrNb8/e2pZdk5AgJkqpqdiGhdJw2TKUXjcnVCalOA9+6Ak5sdB8CIz9XcwMqkh63BX+fH8qeq2W3hOep9NDw8qey8gv4dtd0fxx5GrZjZB+LX2Z2r/ZzbPLTIwgCORnF5dznctOKuDGK0QbewV+jV3xC3UXpXONXbG1V6I3CKw8kcD8LZFl71X3NfHk/Yda0jqw8p/DlY398L9/c3DFHwCEdr6Ph1598649qwCknBZ7lEryRBfXsX+A0vrDTq1JXGYhX26LZN3pZECsYI67J5jXHmiKj2vdGCEjJUmlSElS1dCmpZG9dBk5//yDoBYlaDYhIXg9+yxuw4cht7Pc8MvKkJmYzz+zj6G0U/Dclz1u6Y5TUS5lX2LByQUcSDoAiMM/n2z1JE+2fBJn2+pVN+5ETmqyWFHKysQzMJgxH34qJkpFOTC3kfiiN6PA+Wa5yb6oDMb/dBQfFzuOTO9b9YtIY9Wq9SgY/XPVf5gbKCrI5+yOLURs2UB+lnh3Sq5Q0rxrDzoOHnbTHVVTkHQ5hzVfncLJzZYnP+tWqd+JIAjEDByI9mo8/l/MZ0fTEhaeWljWw9YjsAdvdnmTJm5NTBZvTqGGdaeTWXkikbNJqrLHTSmnuxHBIHB8UxxH/4sFQRz4OnBia5zcbvF3vvldcYJ927EwcrFJ47gRbYmek1uucmpbPHqtAV3JKXTqXQC0H/AQDzw1scL9aZXhfOZ5Ju+eTGphKo5KR2Z3n02/hv1Mvo/ENeKz1PT+fBcGAf57tfttL6w1V69ydcKT6NLSsGvalJBlS1F6mmnmnSDAqufh7ApwC4YX94HDzUOTK4q2uJjf3p1MTnIiTTp2YfjbHyKTyVCptSzeF8PP++Mo0oqVmq6hXrw1IJwOIVXf704Y9AYyEwtIib5mslCYW3LT61w87a8ZLIS54RngfNvmfICCEh2Ldkfz475YNDoDMhmM6hjEWwPC8TXzBfalA3vYvGgBeq0Wn0ahDH/7A1y8KnBj8+oh0fVOVyQOzB61BEysBqgNpOcVs3BnFH8fTUBX2lc2tF0AU/pZtoJpCaQkqRQpSaoe+txcsv/4g5zffkefmwuAskEDPJ96Evex41A416w/nNM7E9i/PIqQlp48/Fp7k6x5NOUoX534inNZ5wBRVjWx3UQeafYItgrz3HHKTU3hn5nviolSQBBjPpojJkrf3gcZF8W7mS0evum8Ep2e9jO2UaTVs+G17rQKqOIdvEXdRfefEYuhXfV7QLIS4zm5aR0X9u5CpxE/iB3d3Gn74CDa9x9cXlZoYnQaPT9O2YtBJ/D4zPtw96m4y1zx5cvEDhuOYGvDpx805bQ6EoBGro14q8tbJmvwt6Sc7kY0RTq2L71A7OlMAFr3DKT7mKYolLfZK/4w/DwA7FxFyV01hmhWlPzsYg6tiibqeDq6kjPo1NsBaNWrH/1ffKVi0ppKkl2czVt73uJo6lEAnm39LK92eNXkUkqJa7z+9ynWRiTzUFt/vn3s9j2xmrg4saKUkYFdeDghS39B6WGG95BTf8DaSSBTwNMbIeS+ai23edECzu/ejrOHJ+Pn/Q/snfjlQBw/7Ikhr1iUGrcLduftAeF0CzOPaiEvs4gL+5O5eDAFdV75fiKZXEaDYKPrnDt+Tdxw9qja33dijpr5Wy6zNkKsRjjaKnixVyjP92iCQyVmq1WW5MiLrJk/m6I8Fc4engx/+8OK3XyL2i4acxi0Ys/vkAXVqhjWJlRFWn7YE8PPB2IpLh0Y2zu8AW/2Dzd7FdBaSElSKVKSZBoMajW5K1aQ9ctSdKniIEi5qysejz+G5/jx5ruTV0k2fX+WKxEZ3De8CZ0GNjLZuoIgsO3qNv536n/E5cUBEOgcyCsdXmFw48FmafC+ZaK072M4sRS6vgr9bz3Q9Lllx9l+MY23BoTzcp8qVGZUifBVK0AGb8WAU9XkLILBQOzpE5zcuI6rZ67JAxs0akLHQUNp3rVnhYYmmoJVn58gJVpFn/HNadmt4kMpr3zxKSU//saxpjLmj1bgYuPCi+1e5NHmj2KjqL4m+3JqPitPJFhMTncjOamFbFx0ltw0NXKljF6Pht/992MwiP8+8pPh0X8gfKDZ4ruRlOhc9q+IIiXyCFr1FkAguNX9jJr+DgqlaSWhADqDjgUnFrDswjIAugZ0ZW6Pubjbu5t8Lwm4mJLHoK/3IZfBjqm9aXyHu9clV2K5+uQE9BmZKDw8cBs2DPfRo7ALM1E1OiMSFvcCrRoe+AB6vlmt5S7u28XGb75AJpMz/L1Z7M1z5Ztd0WWulOG+Lkzt34x+LU3fx6PXG4g7ncn5/ckkXMyG0qs+Wwdl6VwiUT7n28gVGzvTJjAn43OY/d+FsqZ/fzd73h4YzrB2gXesSFUHVXoaq+fOICsxHqWdHYNfmUrTe7re/cTzq//f3n2HN1X9cRx/J2mTdO+9GaWMsncBZQnIEAVU3Au3iLgQ3IqIE+cPxYEoAgKCgAICsvceBVrogLZ075l5f3/cEFoo0JYuynk9T58mNzc3J2na5nPPOd8DSx6Rl72ImgSD36mT9jUWZQYTv+xI5NtNcdaS7p2CXXl1aAQ9m9XxMNYGJkKShQhJtUvS68lfuYrsH35An5AAgEKrxXXsWDweebhBV0WXzBI/vbyNsmIDY17pUnEuRS0xmA0sP72c/x36H5ml8nCxVm6tmNRlElH+1RvKVRV5aan88e5UCrMzcfcPZNyY7jiufwECu8Nj6yq9z/zdZ5i27BhdQ9xY8lQV/jFcbN9PsOrKj3El+rJSojdv4ODqleSmyosXKxRKmnftQZdbbyOgddt6LwSy66849q8+Q6sevgx6+OoVC0sMJfwc/TPhz31DYKbE1yNU+Iy5k2c7PYu79tpOCDTEcLrKxB/KZP3c4xjKTDi6aRj6eCQ+YVV83NWvwu7Z0GE83D67bht6EcksEbM7jU3zV1GcuRIw4+DeljumTME7pG56JFcnrOatHW9RaiwlwDGAWf1nEeF+aRl+4do9Mncv/53MYHz3IGbc0f6K++ri40l6/AkMycnWbXadOuE6dizOw4aitK/h2mSGMvhhIKQfg7Cb4P5l1zT8KjftHL+++jyGslKcew9nbmkr6xozwe72TB4czsgO/qhqOTTkZ5ZwfFsqJ3amUlqu1yiojTtt+/gT2t7z8j3GtUiSJFYdSeXD1Setz7tDoAtvjGhD19C6OcGqKylm1RcfkXhoPygU9B3/IN1Gjbn6/54D82DFc/LlgW9B38l10r6GZDSZWbw/mVnrY0kvkE/OtfR25OUhreokpJ8nSRImyYSNsvZPaFWXCEkWIiTVDclkonD9BrK//56y6Gh5o40NLiNG4DHhMTTN63+ic3ZKEQvf24ONWsljn/e7pvlIV1NqLGX+ifn8ePRHigzymgHdfbszqfMkIr1qdzXpvPQ0/njnNQqzM3Hz8eZOpxU4ahUwJanS6mIpeaVEffgfSgUceGMwrvbV7In4/W6IXQ0DXod+L1f5bvkZ6Rxcu4pj//2LrkRelV1j70C7AbfQacgIXLwbbhHIpOM5rPjyEI7uGh784NJKfZIkEZcXx+603exK3cW+tH04pRXyxfcmTCoFqn9+pXVIlxo/vtFkZnMDDae7mGSW2LMqgX3/JALg39KVIRPaYe9cjffJmR1yVSiNi2XIXf1PdNaXGVn34ypObvkZMKG0bU77WybQa3R49Z5LFcXkxDBp4ySSi5LRqrS81fstRjSr3QVuBdibmMO42TtRq5RsfbX/VeexSEYjRVu3krdkKUWbNoFJntOjdHDAefhwXMeNRduuXfU++P39EuydA/ae8NR2cPK9+n0uw2gwsOCNl8hIiCPbKZAFHsORFEp8nDVMHNiSO7sG1ervvcloJuFwFtFbU0g+mWvdbu+spnVvP1pH+ePi1TAV3MoMJn7clsC3G09TrJd/TsMj/ZgyLIIg99pfbNtsMrHxlzkcWrsKgHb9BzPosadR2VxlFMCOr+Df1+XLwz+Fbo/VetsagtkssfpYGp/+G0N8lvw/OsDVjhcGh3N7p4BaD+nnlRnLWJO4hgUnFzAgoD9PdHqyTh6nOkRIshAhqW5JkkTJzp1kfT+Hkl2WBUcVCpwGDcRjwgTs2l/5TGBtOrIxma2LYgmMcOO2SZ3q5THzyvL44egP/H7ydwxmubt6cMhgJnaaSKhLaO09Tnoaf7z7GoVZmbhpddwZeBDHx1dCSOWLxg75fAsx6YV8Ob4TozpUo3fPUAYfhclDTJ7YCn5X/vlJkkTKiWgOrF7B6b27kCR5PLObnz+dho2i7U0DUWsbvqSqQWfihxe2YDZL3P9+L5w97UgpSmF3qhyK9qTuIbssu8J9HtznyPB1eTj07UPwnJqtCXS54XRt/Z0Z2yWQ2+p4ON3FdCUG1v10nDPH5OfafkAgvce0qP4JBbMZPmsNRWlwz2IIv6UOWls10Zt3sHb2R0hmI0qbEBw8b6fb8HDaDwis9bPk+bp8pmydwrYUeV25+1rfx+Suk7FVXt/lcBubsf/bwb4zuTzerxlTb21d5fsZMjLIX/4XeUuWYDh71rpdExGB69ixuIwcgcrlKiMMjq+AP+6XL9+7FFoOuvL+VyBJEr998RUZO/+lVKlhQcCdqJ3dePrmFtzfK6RW15jJyyjh+LZznNyZSmmh/L8IBQS3cadtnwBC2ntU+D03mAwYzAbsbWs/nFxNZqGOz9bFsGhvEmYJ1Colj/QJ45n+zXG61vX9KnFg9Uo2/TIHSTIT1CaSkS9Oxc7xKqX9/3sftnwMKOCOOdB+XK23qz5tPZXJR2tirKMX3B3UPNu/Bff2DEZjU/tzxCSzmdiEI/y9eyEnT+zDPteMe4GafH8Vn8xY1eDLyoiQZCFCUv0pPXKE7DlzKFy33rrNvmdPPB+fgH2vXnX+S7Hmu6PEHcykx6hmdL01tE4f62KpRal8c+gbVsStQEJCpVBxR8s7eKrDU3jZe9XKY+RnpLHoHUtQUpdw57234Dh0SqX7zvjnBN9tieeOTgF8dlfHqj/IqfUwfww4+cPk45eduGo0GIjZsYX9//xFZmK8dXtI+050vnUUYR261EnVsWuxcMYuss+UUBB1ks32K0gpSqlwu1alpZN3J3r49aCnX0/sHn8T3fHj+L73Lm7jqv4P8nLD6Twc1IzuFMCYzoG08a//v0XZ54pY/b+j5GeWorJV0v++CFr1qPkZcv55GfZ8Dx3vhdHf1l5Da+DsscP8+eG7mAw6lDaB2DqOxtXbhd5jWhDWwbNW//aYzCa+Pfwt3x+RK/t18enCJzd9UufLA9xI/juZziNz9+GgVrFjykBc7Kv3wVkymynZu4+8JUsoXLsWSS8PNVOo1TgNGYLr2LHYd+926fsi7yzM7gNl+dB7ItzyXo2fw56EHH6Yv4pWR/8AYF3AcIYMG8hjfcNqLQiYDGbiD2cSvfUcKTHleo1c5F6jNlH+OHteepJqd+pu3tj+BlmlWQwKHsS4VuPo6tO13j+4nkgt4P2/j7P9tHzSxsNBzeRbwrmraxA2tdyrHn9wL39/8RH60lLc/PwZ/cpbuPtfYd08SYLVr8h/4xQquHs+tBpWq22qD4eS8vhozUl2xMmvsYNaxYR+zXisbzMcNbUz7M1oMJCddIaMxHgyEuOJiz1MfnIySsOl8cIjJJSHPvq6Vh73WoiQZCFCUv3TxcWRPecH8letAqNcsUfbrh0eEybgNHhQnXx4liTLfKQiA7e/1Bn/Fq61/hhVEZsby5cHvrQuMKpVabm/zf083O7hWlmUMj8jjT+mPktBYRluDgru/GQuju6XTrDcGZfN+Dm78HBQs3faoKpPkD3/wbfzgzDqy0tuLs7L5fC6fzi8bjUl+XkA2Kg1tOnXn87DRuERGHwtT69WFemL2Je+j92pu9mdthv3QxF0OjeIE1672NxiASqFikjPSHr49aCHXw86eHWwVivUJycTN2gwKJW03Lb1qoVJLjeczkapYGBrb8Z2CeLmehpOV5nT+zPYMO8ERp0JJ3ctw56MxCv4Gt+Pidtg7nB5La2XGmbIXXnJJ6NZ9uHb6EtLsdEEoLIbjUKhITDCjT7jWuIRULtl+zec3cC0bdMoNhTjbe/N5zd/Tnuv+us5b8okSWLYF1s5mVbIi4PDeW5gyxofy5SfT/7KVeQtXowuJsa63TYkGNcxY3EZfRu23t5gMsDPt0LyHgjoCo+sgRoUZzmWks8n/8awNzqB8SmLsTOXYWzdhwkvT661XuO89BKiLb1GZUUXeo1C2nrQpo8/IZEelfYOlxpL+eLAF8w/Mf+S20KdQxkbPpZRzUfhpq27aqMXkySJ/05mMP2fE8RnykPAWvk4MW14a/qF184JxvMyzyay/KN3KcjMQOvgyKgXpxLU9gq/s2YzLH8KjiwElUZebDasb622qa6czijik7UxrImWC22pVUru6xnCM/2b4+FY84qkZUVFZCTGk3kmnoyEODLOJJCTkoTZZLpkX5NSQu9uS2Dz1rRv0xufsBZ4hYQ2itElIiRZiJDUcAwpKWT/PJe8JUuQysoAUIeF4fHYY7iMHIGiFiubZZ8rYuG7e7CxVfLYZ/1Q2TZsL8b+9P18vv9zDmceBsBF48KEyAncHXE3GtW1lUzOP7KOPz6aSYFBi5uvP3e+NeOSoGQwmen07jqKdEb+eiaKDkGuVz+wJMEXHSDvDNz9O0QMt96UHn+aA//8xckdWzGb5ODr6OFJpyEjiBw45OpDF+qBzqTjUMYhayiKzorGJF34wx2U25rhJ5/E7FRGh+cd6eLTBQfbyqtnZf/0MxkffYR9jx6E/DL3so8Zk1bI0gPJ/HkgpdLhdKM6+F/TP6RrZTZL7P4rngNrzwAQGOHGLY+1xc6xFn73zCb4NAKKM655WFJtST0dw9IP3kRXXIyjezBmxUjMZg0KBbTpG0CPkWHYOdXe3534/HgmbZxEQn4CtkpbpvaYytjwsbV2/BvZX4dSeH7hIdwd1Gx/dcA1l42WJImyY9HkLVlCwapVmIvlD+SoVDjefDOuLQ045ixEYecsr4fkFlqt45/OKOLzdbH8fTQVhWTm9rSVBJSdwy0ojAdmfIaN7bX1HpkMZuIOZXB86zlSYvOs2x1c1LSO8qd1lB/OHpf/8Hk08yhTt021VmcdFz6OUc1HsSJuBX/H/02J0bIeotKWQSGDGBdev71LBpOZ+bvOMGvDKfJK5ODXv5UX04a3poV37f1/Kc7L5a+P3yf1dAxKlYpBE54hsv8VhgubjPDHAxDzN6gd4cEVEFDz+al17VxeKV+sP8Xi/fJQRoUC7ugUyKRBLas170uSJAqzMi29Q3FkJCaQeSaegsyMSvfX2ZrJdtaR46ynyFVBp3Z9ubPXQ7TwaIlkMFB6+DBF27ejCQ3F5bbbKj1GfRIhyUKEpIZnzMkh59dfyZ3/O+aCAgBsfH3xePghXMeNq3kFonKObkpmy8JYAlq5MfqF+pmPdDWSJLExaSNfHPiC+Hx5SJqfgx/PdHyGEc1G1Hy9FaOe/Heb80d8Kzko+fkz7s0PcHKvONznqd/2s/pYGn1betIlxA2trQo7y5dWfeGynVqJ1laFc2E8QQtuRlKp0U0+ja3Ggbj9uznwz1+knDxuPa5/eGs63zqKFt161UnZ5aoymo0czz7OnrQ97ErdxaGMQ+hMFRdDDHYKpqdXN3q4dyLSvg3LPkpCkuDuR7ywszEi6cow63RIZTr5suV77qI/0MfF4fPG67jfe2+FY+YW61l5RB5OdyS58Qynu1hZsYF/f4wm6bi88G3HwcH0Gt0MZW32Zv39Iuz9ATrdB7d9U3vHvQbpCXEsmf4GZYUFuAeE4BV2H2ei5Ypaajsbug0PJfLm2puvVGwo5vVtr7P+rDzMeEzLMUztMbXO1lC7URhNZvp/uomknFLeHtmGh6LCau3Y5pISCtasJW/JEkoPHLBut7Ez4XLrQFyfnIo6KKhKx0rOLeHLDadYsj/Z+qH0fk0MLif+w1Zrx/0fzsLN7wrDuq4iN62Y6G3niNmZRlmxHB4UCghpZ+k1audxxd9pg8nA7COz+fHoj5gkE9523rwT9Q59AvpY9yk2FPNPwj8siV3C8ewLf+sboncpr0TPlxtOM29nIkazhEqp4N4ewUwaFF5rPXEGvY61384iZudWALqNGkPf8Q9efpSLoQx+HwcJW+TFhB9eDd5VnytXH3KL9Xy76TS/7DyD3ijPDR7cxoeXbmlFK98rh0yT0UhOStKFHqLEBDIT4ykrLqp0f2dvHxTeTpxWp3FYEU+Os54SrYkw1zDGR4xnRNgI1OeyKN6+g+Lt2ynZvRtziRzC7bt3J2TeL7X75GtAhCQLEZIaD1NREXmLFpE9dy6mTHnhSpWrK27334f7vfeicnWt8bHXzjnG6f0ZdB8ZRrfhtffPtDYYzUZWxq3k60Nfk1Ein4Vp4dqCSZ0n0S+wX83O1P18K/mn9vFHVn8K8osrDUqL9yXx8pIjVT7kBNUqptn+zn/69nyVM4T2hcdwNsp/JM0oSfVoRVpgd4zugWhslZaAZQld5S5fLoTZ2arQKiXszAa0JiNqyYjGZEBl0FvDibmsDEmnrxBY5O86zGVl5Bakk5mbTE5+GgWF2SgNRtRGUBsk1EawM6lwlNRoTEpsDGbQ6a3VrgD2dnmFQqcQ2hz/Gd+MfVd+QRQKWmzahK2PN0aTmS2nLMPpjmegN8n/hBrLcLqLZSUXsnr2UQqyyrCxVTLggda07FYH1QUTtsIvI+QPDi+dqtHwpLqQlXSGxe9NoyQ/D4/AYPrc8zL712SSlSS/n1197Ika04KQSI9aOVMuSRI/HvuRLw98iYREe8/2fHrzp/g6XMOcL4Ffd53hjeXHCHC1Y9PLN9fJ75fu6B7y3r2f/FgJk+7CiSv7Xj1xHTsWp0GDUGou7Q3OLNTxzcbT/L77rPXvweA2PjzUzMTur6cjSWaGPfsibfr2r3abjAYTcQcyOb7tHOdO5Vm3O7pprBXqnNyvXPUP4FTuKaZtm8aJnBMADAsbxrQe03DRXL54RXR2NEtil/BP/D8VepcGhwxmXPg4uvh0qZfepfjMImasPsm64+kAOGltmDigJQ/0DqmVQgOS2cyOJb+za+lCAFp068Wtz76IrfYyr6uuEOaNhpR94OgLvZ6B0D7g2x5UDXeysFhn5KdtCXy/JZ5CnTzKo3uYO68OjaBLJUsi6EpKyDwrh6Dzc4iyk85gskyNKE+pUuERGIx3aHO8Q8PQ+nux3XCIxWeWk1qcKu+jUHJz4M3cEzCSiAQjJZZgZDh3rsKxVG5uOPTujeNN/XAZNaoOXonqESHJQoSkxses05G//C+yf/zRWoFIaW+P61134f7Qg9j6VO/DnCRJ/PzKNkoLDdz+Yif8W9bfeOrqKDOWseDkAuYcnUOhvhCAzt6deaHLC3T07li9g61/G7Z9TkHLu1m000hBZjquvn7c+eYMnDzkoGQwmfllRyJp+WWUGkyUGkyUGUyU6uXLujI95rIyTGVlmEvLmFL4BaVFeo6VXvhgZ8CGPIU3RZI7KjOoTQY0JgNqkwG12VjhusZswNZkQGMyWq+fv93WbAlElup3DeV0+FjO+vcnMGcfbXPXo9RqUKg1KLRalBrLd60GhUaLQ88epPUY0KiH01Umdm8aG+edxGgw4+ypZdiT7fEMrN35OFZmE3zaCooz4b4/ocXAunmcGsg5l8Li96ZSlJONm58/Y6a9T0qskV3L46zVv4JauxE1riUe/rXz+mxP2c4rW16hQF+Au9adT2/6lK6+XWvl2DeiMoOJPjP/I6tIz6fjOjCmS2DtPoDZDPPHQtwGJPcICptNI2/5Soq3b5eHHwMqFxecbxuF69ixaMPDyS8x8P3WOH7alkipQT4B06uZBy8PbUVrNxXzXnmOopxs2t40kKFPv1Ct5uScK5Yr1O1ORVcsf2hVKCAk0pO2ffwJbutepZ5gk9nEvOPz+OrgVxjMBlw0Lrze83WGhlZ94efzvUuLYxZbQxZAmEsYY1vKvUv1sajyjrgs3l91guOp8iiUEA97XhsWwZC2vrUS1k5s3cja2V9gMhrxDmvO7a+8Wek8XwBKcuR5mBkXetvQOENwLzkw1WNo0hvNLNhzlq/+O2VdkLiNnzOvDG3FTZa5XMW5OdYglJkYT8aZePLSUis9ntrOHu/QZniFhuEd0gzvsOa4BwRhY2tLdFY0v5/8nTUJa9Cb5cfysHHhIaLol+qMYu8Ryo4ek3+fLBS2tth17oxDVBQOUb3Rtm7dqIo5iZBkIUJS4yUZjRSsXUv2nB/QnTwJyL9YLqNvw+PRR1GHhlbpOLlpxfz+9m5Utkoe+6wvNrVYVrUu5Ovy+enYT8w/MR+dSYfCLDHY5yaebvMYwRpfuddEp0MqswwF053vSbF815UhJR9B2vsrZo07heHjWB97mCKDDkcbW/q7+KI1mixDyC46VrljYjIhAVlOdiR6upLpfGHYo1OpjtCsfPxzi1DV0Z8IndIGvcpW/lLaolPZoLdRobc1YlDrMGpK0asN6G2Qv2zBoFJRJrlRZvakzORLmdkTvUptub8tepV8TJ3lmNbLKlsUtraEm20ZmmdDgS1sbm5Tae+X1laJxkbF3sScRj2c7mJmk5kdy+I4vD4JkEv/Dn60LVqHOu7dWfWCvABx5wdg1Fd1+1jVlJeexuL3plKQmYGzlw93vjkdOydP9q1O5PB/SZiNEgqlgrZ9/ek+MqxW5molFSbxwsYXiMmNwUZhw0vdXuKeiHsavOTt9eqbjaf5eG0MLb0dWTupX9WL0FTF9i9g3ZtgYwePb7QOoTKkpJD35zLy/vwTY+qFD5X5oa1Y6NWRtd6RlNpq6RDkyitDWhHVwhNJklj+8XvE79+Dm18A9304q0oT1I16E3EHMojedo7U0xf+3ji6aWjTx5/Wvf1wdLt6r9F5SQVJvL79dQ5kyMMI+wX24+1eb19TldXo7GgWxyzmn4R/KDVahq4q1QwOlXuXOnt3rtP3t8kssXR/Mh//G0NmoXyyqkeYO2+MaEO7gGtfND7l5HH++uR9SgsLcHT3YPQrb+ITdpm1Hkvz4OBvcuGaMztAl1/x9joOTWazxIrD5/h0XQxJOZYFid20PNfFhbaaIrLOJliDUWlBfqXHcPTwxDskDO+w5niHNMMrtBku3hUXkdWb9KxNXMvCkws5knUEJAnfXBiS4cNN51xwOnYW6fy8Pgt1i+Y4RkXhEBWFfdeutTKVoq6IkGQhQlLjJ0kSxVu3kvX995Tu2y9vVChwGjIEz8cnoG3T5or3P7Ylhc2/xxAQ7sroyZ1r3g6j8UKosAzvkvT6K4eVMh2SXldxmNj5OS76i/bVWY6ll2836cowl5WiNF37r2CprQ27mvtTqrHFXmegR1wKdoZLq82cZ1QqSHFzItHThWKt5YOhJOFbXEJzSYOXygalxg6FVoNSo73Q06LRlNumQanVWnpiLtqm0aLUqFFotSg0l27D1haDBNnFBexJ28vetD0cytrH2aK4Cu1UosJPG46/NhJvm0icFM0xGJXW3rDzvWNllsulehNlBrP1culFr4HGDM8VaFGg4BvnUkqucmKrsQ6nu1hpoZ61P0RbywB3HhpCj1HNavcD5eXEb4Z5o8DOHV6KbTRD7s4ryMpg8XvTyEtLxdHDkzvfmI6bXwD5mSXsWBpH/KFMADT2NnQbHka7mwOueSHqUmMpb+94m38S/gFgRLMRvNnrTexsGr6q0/WmoMxA1Iz/KNQZ+f7+LtzStpaGMCbthZ+HgtkII7+ALg9dsotkMpG3dRvH5/yK84Gd2Fh6wnU2Ggw3DaTtY/dj17EDCoWCA6tXsHHu96hsbLhn+md4hza74sNnnyvi+NZzxOxOQ1di6TVSKgiNlOcaBbf1qNbvryRJLI5dzCf7PqHUWIq9jT2vdn+V21vcXmsBpkhfZJ27VL53qZlLM+vcpSsN5btWxTojszfH8f2WeHRGs7UowStDW1110eGryUtPY9nMd8hJScJGo2H4cy/TolvPK9/JbIL0Y3JgStwGidvrLDRJksTGmAw++fsY2Uln8NJnESTlEqEuhJxzGC1l7stTKJS4BwRaeoiaWQJRGPbOl/8ZpRWn8UfMHyw9tRRdbjbtzkh0TFTQ/awGp+ySCvuqXF1x6N3b2ltk63v9DC8WIclChKTrS8mBA2R/P0deOd3CoU8f3B98AJWzsxw6LgolWw9pOZtpR1vfLNq4nrt8WCkXUMqHIXm73lquvCEZVGCwAZXWDnsHF1RaezlkWIaCKTRqOYxoNCjj1qAw5KJoOwKlf2uKJTP/HtxJYWkxTo5OjBg6Gid3TzmcWIaQFZYWEb1vF9F7dqArlf/gqe3saBekopNpI643PQZDptfZ87taBTqAVm6trGW5r1SBriokSUJnNFcIVVu/PkpxeinBI4LRhDlSZjRTVu728/sGuNoxor1foxtOd7GMMwWs/u4oRTk6bDQqBj3YmuadveuvASYjfBoOJdlw/3JoXv05GHWtKCebxe9NI+dcMg6ubox7Y7q1XH1yTC7b/jhFdkq5+UpjWxAaeW3rHkmSxG8nfuPTfZ9ikkxEuEfw+c2fE+hUy0PGbgAfrj7J7M1xdAxyZdnTva/9Q39pHnzXV14Xqe3tMPbnS9aEM5rMLDuYwqz1p0jJK8W1rJAx2UcYmbIPzbkk636ali0wDh7IP7s3YTIa6f/QE3QeNrLShzXoTcTtzyB66znS4i98mHZy19Kmjx+te/vj4Fr9vzfpxem8tfMttqdsB6CrT1fei3qvzt5rkiRdmLt0Ue/SLaG3MC58HJ28O9VZ71JKXikfrznJ8kPyvBc7WxVP3tScx/s1u6YqiGXFRayaNZMzRw6CQkG/ex+m64hqhMyLQ9OZ7fKaW+WpneRF4K2hqcNlQ1NJQT4ZCXEcOBjN3v1HUeaew9WQj5JLP7bbaDR4hZwfKicHIo/gEGzVV38/SZLEvvR9LIyeT/Ku/2gXb6R9gkSLVFCWfyhbW+w7dbKEoii0bRrXELrqECHJQoSk61NZTAzZc36g4J9/KoxzvZgEbO/1AXqNC50OzcIt71StPL7C1vZCL0j5HhR1JWHFEkAu3aap2KOiLr+9XPBRq1FqtRzJO8Hnh76wDpNwUjvxWORj3BNxD1qbSs6SrXgODsyrsOhhQVYGf7w7lfz0NFx8fK1zlFJijnPwnxWc2rMTyXI21NXXj05DR9GuX3/U33aU55U8sAKa3VQrryFcqEB3PhRdrgLd+VDU3bd7nVdR2rIolqMbk4m8KYB+41vV6WPVtZO7Utn0WwwmoxkXbzuGPRlZa/NrqmXl87B/rnw2fuQX9f/4VVCSn8eS918n82widk7OjH39fevZfrNZ4sT2c+xeEW+drxTc1p2oMS1x9695SAfYm7aXlza/RE5ZDi4aFz7q+xG9A3pf8/O5kWQUltFn5kZ5HsaEnvRqfpk5I1UhSbD4ITi+HFxD5HLf2gtn1s1miTXRaXz6bwxxlnV7vJ00TBzYkju7BmGrUlB64AB5fyymYO1aDHod28IDKdGoCdA6MOLxiTj06lXhw2N2ShHRll4jfemFXqOw9p606etPUGv3GvX6SpLE6oTVTN89nQJ9AWqlmuc7P899be5DqaifD6/ne5cWxy7mZM5J6/bmLs0ZGz6Wkc1H1lnv0sGzubz/9wn2n5F70H2dtbwytBWjOwbUuBfdbDLx38/fcXid3AscOeAWBj76dM0quVYxNEnBPclz60KmIoCMPDMZZxPJTIynKDen0sNqnV3wDWt+oYcotBmuvn4oq1kxt1hfzLod8zi5ZhH+0Rm0PSNhf1GHlLp5cxyieuN4fgidw7X9PWwsREiyECHp+qZPSiL7xx8p2rwFhVJ5SUAp0Xjwn+JWlJgY6bkNG6368mHl4oByPthcHIY0mgY7OyJJEltTtjLrwCxO5cqBz9vem2c6PsOo5qOwUZb7Q31wPvz1NAT1gEf/tW4uyMrkj3dfk4OStw9aRyfS409bbw+O7EjnYaNo1qmr/DyT98MPA+QzXK/EX9OioJIkcTrvtDUU7UvbR5GhYhlRLzsvayjq4dsDP0e/Gj9eTcQdyGDN98dw93dg/Js96vWxa4vJZGb7ktMc3ZgMQGikB4MeboPGvoGGusVthF9Hg70HvBjboNWerqS0sIClH7xJevxptA6OjJn6Lr4twq2360qN7PsnkSP/JWE2yfOV2t0UQPcRYdc0tyutOI3JmyZzNOsoSoWS5zo9x6PtHhXzlKph2rKjzN99ln7hXsx7pHvND7TvZ1g1CZQ28Mi/ECiveSNJEptjM/nk3xiOpchFAlztbXn65uY80CsUbSVzXU0FBax8dxpxSQlo9Ub6xCahNpmxDQjA8faxZDW/mZNHikhPKLDex8lDa51r5OBS817q3LJc3t/1Pv+ekf/2t/Fowwd9PqC562Xm0tSx871Li2MXszphtbV3SaPScEvILYwNH1snvUuSJPH30VRm/HOSlDz5MdsHuvDGiDZ0C73yIuBXOubB1SvYNO9HJMlMcLv2jHxhKlrHazwBZTZhTDlE9oG1ZBzfT0ZyCpnFtmTqHNCbL/2bKQF5ti5kqz3xa9aCEf270qptBA6uNT+RaCooIPG/lcSu/QOHg6fxyrvoJLSzE859+si9Rb17Y+tXv/+f64sISRYiJDVt0VtT2DQ/Bv+Wrtz+Ys3nIzU2JrOJvxP+5uuDX1tLbTZzacbEzhMZEDRA/keTHQdfdQaVGqYkge2F3qaCrEwWvzuVvHT5vja2alr360/noSPxDA6t+GAbP4DNM6H1KLjr12q3NaUohd2pu9mVuos9qXvILsuucLuT2onuvt2toSjMJaxBPxyWFur56eVtADzySZ/aWVi1HpUU6Fnz/VHrJO+uw0PpPjwMRX3MP7ockxE+aQmlObXeG1nbyoqL+PPDt0mNPYnazp47XnuHgFYV1zzJSy9hx5+nSTgsL1Wgsbeh+8gw2var+XwlnUnHjN0zWHpqKQCDQwbzXtR71zSc9EZyNruEmz/ZiFmCVc/1qdmE/fTjMKc/GMtg8HsQNRGAvYk5fLwmhj2J8pl7B7WKx/o247G+YThpLx+OozdvYM23n6NQKLntgcdx2HeA5PX7SXbpSJpPd0yWOWgKhURYB0/a9gskKML9mn9XtyRv4a0db5FVmoVKoeKJ9k/wWPvHsFU2jvmAhfpC/omXe5dicmOs2+uyd6nMYOKn7Ql8uzGOIksp7FsjfZkytDXBHjUrIBB/YC+rvvgIQ1kpbn4B3D7lLdx8/at8/9KiQjIti7BmJMSRcSaBnJQkzKZL5wurlOCpKcFbk4+3phgvbRFemhJMthqkoJ7Yh9981eF5lZGMRkqPHKFw61bSN61FdTKhwhA6owpKW4cQ0P9W3PsNkIfQqRp38avaIEKShQhJTdu/P0Zzam86XYeH0mPklSfKXo90Jh2LTi5iztE55OnyAOjg1YEXurxAF+/O8HELKMmCR9ZCcMVJpoXZWWxb8AvuAUFEDhxy+cma390EqYfgtm+h072V71NOdmk2e9L2WINRSlFKhdu1Ki2dfTpbQ1GEe0TNF86tI7+/s5vc1GKGPRFJs041r/pU39IS8lnz3TGK83TYalUMfrgNYR0aSfvPD//s+giM+LyhW3NF+tISls18l+QTx7DVaLn91TcJatv+kv2STuaw7Y9T5JyTh125+doTNa4lIW1rPtxrcexiPtj9AUazkeYuzZnVfxahLqE1Pt6NZOKCg6w4fI7h7f345p5qnhTTl8gBKfMktBgE9yzmWGohn/4bw8YYuXiH2kbJg71CePKm5ledi5hzLpnfpkzCoCujxx3jcQ/sT/TWc2QkXug10pZm4p+6Hf/UXdi5anAdfTuuY+6ocuXWixXpi/h438f8eepPQD5x9kGfD2jr2bZGx6trkiRxLOsYi2MXsyZxTYXepSGhQxgbPpaOXh1r9aRZZqGOz9fHsnDPWcwSqFVKHo4K5ZkBLXC+QuC97PHOJLBs5rsUZmeidXTithenEdimXYV9JEmiMCuT9MQ4y/pDcjAqyMyo9JhaR6cKQ+Uc/IJYclrPzzsSCTYk0FN5guHOp+lgisZGX1Dxzmon+X99aB8I7Qt+l4Ym/dmzFG/fTtH27RTv2oVUVLEKXYoHZEUG0mzwHXQech82jldebLYpEiHJQoSkpkuSJH6Zsp3ifD23TepIYETNutavB4X6Qn4+9jO/Hv+VMlMZIJd2fT49lfDYDTD4XYh6vgYHTpPXuQF5MVDHSyf8F+mL2Je+zxqKTuedrnC7jcKGSK9I65yiDl4dUKsad+/M5t9jOLYlhQ4DguhzZ8uGbk6VHN9+js0LYjAbJdx87Rn2ZCRuvo2oF+L0BvjtDnDwgheOX9Owzfpg0JXx1yfTOXPkIDa2am57+XVCO1z6wdtsMnN8eyq7V8RTViTPVwpp50HU2BY1fv0PZx5m8sbJZJRm4GjryAd9PqB/cOMreNHYnEgtYNgXW1EqYMOLNxPmWY3Xf8VEOPALOPqQOO5fPt6ew99H5J52lVLBXd2CeG5AC/xcqlK2W8/vb7xEZmI8Tp7NkWxGY9TJH6WUKgVhHbxo29cfL00eBX/+Sd6y5ZiyL/Sw23fvjuu4sTgNHozycouXXmRv2l7e2P4GKUUpKFBwf5v7ea7Tc5XPV22ECvWF/B3/N4tjFxObG2vd3sK1BWPDxzKi2Yha7V06mVbA9L9PsPWU3Bvs4aDmhcHh3N0tCJtq9gYX5+Wy/OP3SDsdi1Jlw80PPIrazt7SQySvP6S7qBz2eS7ePniFyGHIO6wZXiHNcPLwRKFQUGYw8duuM3yz8TS5JfLflg6BLrwyNIKoFp6WOU3R5eY0bat0TpPJuxvFJcEUnzVRfDgGQ1JyhV0KtXA0TEFsC3uCB45kVNQjBDkFVes1aGpESLIQIanpyssoYf6bu1DaKHjss37YXkNVm+tFZkkmsw/PZumppZgkEwpgZGERz7h3wf+eJdU/4IF5cg+Af2d5nRAuqkCXupvo7Esr0EW4R1iH0F1rBbqGcGpfOv/+EI1nkCN3TbuG+Q31wGQws/WPWKK3ypWcwjp4MuihNqjtGtm8H5PBMuQuF2y04N8JArtd+HJufGPbjXo9Kz+fQfyBvahsbBg5+TWad6l8npquxMDefxI5+l8yZrOEUqmg3c0BdBtes/lKWaVZvLjpRWuhlic7PMlTHZ6qtwn316uHf97DxphMxncPYsYdl/b+VerYUljyCBIK5oR+xocxPpgluaDdqA7+vDAonNAqBi59mZEVn37JmSP/gcIOjfP9KJSOuHjZ0aaPPxG9/LB3rniCQDIYKNy0ibwlSyjeus1ajEjp7IzLyJG4jhuLNiKi0scrM5bx5cEv+e34b0hIBDgG8F7Ue3Tz7Va1597ISJLE0ayjcu9SwhrrSb/zvUvjwsfRwatDrfQuSZLEpphM3v/7uLUIR7iPI9OGt7EuuFpVBr2ONd98TuyubZXerlSp8AgMlsOQpZfIKyQMrcOl85iMJjN/Hkxh1rpYzuXLz7+ZlwOvDGl15UVyLaFJittC6Y5/Kd5/nOJkidIcW5Au3MekhJOBcCRMyZFQBeo2Edzd5h6GhQ0TyxBYiJBkIUJS03V82zk2/nYSvxYu3PFSl4ZuTr1KzE/kq4NfWSft2koS49s+yITICdVbBX3hvRhPruJ4rwns9mvF7tTdHMw4aF1V+7wQ5xBrKKqPCnR1rThfx9xXt4MCHvu0b8MVPLiK4jwda74/Slp8ASigx8hmdBka0rDzj65kzxz4771Lz3YCOAdCULnQ5NcBbBq+vLrJaODvLz7m1J4dKFUqhk98mfCefS67f156CduXnibxiGW+koMNPUY2o21ff5TVPENtMBv4ZO8n/H7yd0A+q/5EhycYHDy40Q1RbSz2JORw53c7UauUbH21/9XXx8lJwDy7L0p9Id+abucjwzgABrX24cVbwmntV7XPBZlnC4nemkL0lm2U5S0HQON8Oy179KBtH38Cwt2q9HtpSE0lb9ky8pcsxXDunHW7tl07XMeOxXnEcFSWAgHRWdFM3TaV+Px4AMa0HMPL3V6+7k5KXU6hvpBV8atYHLvYWqgILvQujWw+Emf1tX9uM5jM/L77LJ+vjyXP0mNzU7gXrw9vTUufqg81k8xmdv25iOjN63Hy8MIrNMy6GKtHYDA2tlf+PyJJEmuj0/nk3xhOZ8gFjfxctLwwKJw7OgdcsYdLn5RE8fbt8tfOXZiLKhZEKvawYU+Ikd3NlBwPVmBUw+DiEsaXmujo0xVFWN/LDs+7EYmQZCFCUtO17udoYnen0/XWUHqManrzkariWPoBPl8+nj2WBWEdbR15pN0j3Nv6XuxtK5+saq1Al7Kd3dtmsE9jQ9FF1fwaugJdffjtzZ3kZ5Qy/On2hLa/tjVx6kLq6TzWfH+MkgI9ajsbBj/S5prX7qkXZjNkn4bkvRe+Mo6DdFEVJZVaXlgxsBsEdoWg7uASdMl6NfXSZJOJ1d98xsntm1EolAx75gVa973y8Lezx7PZvuT0hflKfg70GdeC4DbVn6+0Mm4lH+z+wFoJsplLM55o/wRDQoeIsFSJsf/bwb4zuTzerxlTb2192f3yi4op+d8g/IqPs9cczt36N+jezJuXh7aic/DVT/Toy4yc2ptO9NZzZJ4tRDIXoiuYB5KOoHYDGTnpGeycajasVDKbKd65k7wlSyhcvwEM8od3hZ0djkNuYXMnGz4uW4kJM552nrzT+x36Bfar0WM1dpIkcSTrCItjFrM2ca21d0mr0lrXXaqN3qX8EgNf/XeKX3YmYjBJqJQK7ukezKRBLet8PbwdcVnMXBPD4aQ8QK6c+MzNLbi/V0jllRMLCynetUsORTt2Yjh7tsLtShdn9J0i2BlUymLnWNKc5dEeXhpXxjm2ZGxhEV5ndkNZXsUDqx0vmtPU8YYMTSIkWYiQ1DRJksS8qTsoytUx6vmOBLVuuvORrkb6aQg7Mg8xK7QdJ8vkiaKedp481eEpbm95O7ZKW5ILk9mTtqdqFej8ehDm3LAV6OrDxl9PcHx7Kh0HBxM1pkVDN8dKkiSit6Sw9Y9TmE0S7v4ODHsyElfvmlVoahR0hXDuoByYkizBqSTr0v0cfS6EpsDu4N8R1PVz1txsNvHvd18RvWk9KBTc8sRzRPa/5cr3MZmJ3nqOPSsTKCuWP+SGRnoQNbYlrj7V+3kV6AuYf2I+vx7/lUJ9oXws51Aeb/84w8KGVSz/f4PbcCKdR3/Zh4NaxY4pA3G5qCe4RG9k7o5E7De9zUOsJE9y4EX3r3n41n5EtfC44t82SZIsvUbniN2bjlEnf/hUqCQUxmWU5CXi06wF49/7GJVN7fRAG3Nzyf/rL/KWLEF/Os66PdkDUvq3ZuTTn+LhH1Yrj9XYFegLWBUn9y6Vn//a0q0lY1uOZUTzEdfcu5SQVcyHq0+wNjodACetDc8NaMGDvUPR2NTuSYmjyfl8tPakdW6Una2Kx/qGMaFfswqFJCSjkdKjRynevoPi7dspPXIEylfBs7HBvmNH1L26sz/UxFzDFmLyL/S+dfbuzPjW4xkYPPBClUOzGTLKzWlK3FaF0NQBVI1zZEVtEiHJQoSkpik/s5Tf3tiJUmWZj6S5gc+2rnsLts/C3PE+Vre/la8OfmWtOBfkFIRZMldegU7lRI+0WHoEDyDi9p9vuDPWMbvTWP/zcbxDnBj3WuMY3280mNiyIJYTO+QJ5c07ezPggQjU2ib2AVmSIDexYm9T2lEwGyvup1CBT1u5l+n8MD33ZnXW2ySZzWz4abZ1IcmBjzxFxyHDr3q/smIDe/9O4NimFOt8pcj+gXQbHlrtoZyF+kIWnFzAvOPzyNfJwxaDnYKZ0H4CI5qNEGEJOcgMnbWVmPRCXrolnGcHyMVXdEYTC/ck8dV/p2lXspu56o8AONj7GzoOvveK4UhfaiR2bzrRW1PISrowlMnVx562ff3JT9vIvpWLUdvZcd+HX1SrFHRVmCUzv0bP45+Vs+h3UE/UCQmNwXKjrS1OAwbgOnYsDr173RAlmiVJ4nDmYRbHyr1L5xch16q08tylVuNo79n+mk7m7YzL5v2/jxN9Tq4gF+xuz2vDIhja7grzgqooPrOIT9fFWouD2KrkXqtnB7TEy0nutdInJ1O8zTKEbtcuzIWFFY6hDg2V1yuKiiK3tT+Lklew7PQy60kUrUrL8GbDGR8xnlbuVVgYXYQmKxGSLERIapqObz/Hxl9P4tvMhTGv3FjzkS4RsxoW3A2e4fDsXgwmA3/E/sH3R74np0xe96N8Bboevj1o79Ue9Tc9IScO7pwHbW5r4CdR/wpzypg3dQcKpYLHPuvb4EGkMKeMNd8dJeNMIQoF9BzdnE63BDf5Hj0rQymcO1QxOBWmXrqfnXu5ghBdIaALaGvvb7skSWz+9Qf2//0XADfd/yhdR9xepfvmphWzfclpzhyTe2q1jrb0GNWMNlF+1Z6vVGwoZsHJBfwS/Yu1/H+gYyAT2k9gZPORjWZNnIay/GAKkxYdwt1BzZZX+rP6aCqz1p8iJa8Ub3L5V/sarhRg7jYB5fBPKj2GJElkJBYSvS2FU3vTMerlIaEqGyXNO8sV6vxauJIUfZTF708DSeLWiS/TOqp21wFLLkzm9e2vsz99PwBRAVG83f5VNJv2krdkKWVHjlj3tfH3w/WOMbjecTu2/rUb1BqrfF0+q+JXsSR2ySW9S+PCxzGi2Qic1DUrY20yS/x5IJmP18aQUSgHse5h7rwxvA2RgdWvtpdeUMYXG06xaG8SJrOEQgGjOwbwwqBwAtQmSnbvlktz79iB4czFQ+hccOjVC4fevXDoHYVNgB/bU7az4OQCtqVsQ0L+uB7oGMjdEXczusXoa6sIaDbLQ6ETt0HiVjizXS68U14TDU0iJFmIkNQ0rZ97nJhdaXQZGkLP0Q2zwnijUZIDH1mGYrySAPby0MNiQzEbzm7AVeN6aQW68wvRKm3hlfha/ZB5Pfn19R0UZJUx8rkOBF/D2jfXKiU2l7VzjlFaaEDjYMOQR9sR1ObGHUJqlZ9sCUz75O/nDoHljPIFCvBubRmi100epucZDsqaV4mTJIltC+exZ/liAKLuup+ed9xV5fufic5m++JT5KaVAODu70CfO1sSVINlCkoMJSyKWcTc6LnWkx4BjgE8Gvkoo5uPxrYJfGCpCaPJzM2fbCI5txRXe1vrhHxfRxuWOX+CX84e8ImEx9ZXWGgbQFdqJHZ3GtHbzpGdfKHXyM3XnrZ9A2jVwxeto/y6lhTkM++V5yjOzaFd/8EMebIGSy1chiRJLDu9jJl7ZlJiLMHOxo6Xu73M2JZjK5wcKYuJIW/JUvJXrMCcbymKolDg0KcPrmPH4tT/ZhTqxl1yvzZcqXdpaNhQxoWPI9IzskYnlop1Rr7bHMf3W+MpM8hh+Y7OAbwyJAJfl6uXWc8vMfC/zXH8vD0BnVG+/8BwD14KMeF58hDF23dQevjwJUPo7Dp2wNHSW6Rt2xaFSkWBvoDlp5azKGYRZwsvBKk+AX0YHzGePgF96qYK5g0UmkRIshAhqWn6Zep2inJ0jJzYoUYTpZucr7tBViyMXwithl19/53fwtrXIKwfPLiy7tvXSG345Tgnd6bReWgIvRogbEuSxJGNyWxfchrJLOER6MitT0bi7CnKtFbKqIO0Y+V6m/ZA3tlL99M4yz1Mgd3koXoBXawnD6pKkiR2/bmQHX/MB6DnHXfR+877qvwBzGQyE70lhT0rE9CVyMMIQ9t7EjWmRbXnK4EclhbHLubnYz9b5xT6OvjyWLvHuL3l7Y1+bbK68OvORN74KxqQJ8I/fXNzHjYtxXbzdLB1gCc2g6c8FE+SJNITCojedo7Te9MxGi70GrXo4k2bvv74NXep8POVJIllM98h4eA+3P0DuW/GLGyruK7R1WSWZPL2zrfZkrwFkOeUvB/1PkHOl1+/xqzTUbhuPXlLllCya5d1u8rDA5fRt+E6ZiyaZjfG3KXzvUuLYxYTl39hHle4WzjjwscxvNnwGvUuncsr5eO1MSw7KA9Rt7NV8cRNzXi8XzPs1ZeONijVm/h5RwKzN8VRUGbEpzib200p3Ko7i+boAcwFFReDVYeEyEPo+kRh3727tZIhQExODAtjFvJ3/N/WhXedbJ0Y3XI0d7W6ixDnkGo/n2tSldBk61AxNPl3vC5CkwhJFiIkNT0FWaX8+vpOlEoFjzaCYVKNwl/PwMHfIGoSDH7n6vvPuw3iN8Et06H3s3XdukbrxI5z/DevYYZtGvUmNs2PIWZ3GgAtu/nQ//6IG2K9r1pVmA4p+y4UhTh3AAwll+7n0aLiuk3ebapU1WnviqVsmf8zAF1H3kG/ex+u1pnqsmIDe1YlcGxzCpJZQqlS0H5AEF1vDUVTg7WuyoxlLIldwk/HfiKzNBMAb3tvHm33KGPCx6BRNXxZ9fqiM5r4eE0MLna2PBgVinP6Ppg7HCQTjP4fdLwHXYmBmN3pHN+WQnbKhQU/3f0daNPHX+41usw6V/v/Xs6meT+gsrXl3umf4RVSOwFkTeIa3t/1Pvm6fGyVtkzsNJH729xfrXmh+rNnyVv6J/l//okxM9O63a5rF1zHjMV56BCUdk3/ZIskSRzKPMSS2CUVepfsbOwYGir3LrXzbFft3qXDSXm8t+o4+87IocDXWcvLQ1pxe6cAlEoFBpOZRXuT+H71EfwTj9M5I5ae2afxKsiocByls7M8hC6qNw69o1AHBlS43WA28N/Z/1hwcoF1uCXIQwnHR4xneNjwy1aqrXdNKDSJkGQhQlLTc2JHKv/NO4FPmDNjX+3a0M1pHA78CiueheBe8MiaK++rK4SZYWA2wLP7rGdab0QVCoB8Xn8LEhdklbL6u6NkJRWhUCrofUdzOgwMunHmH9Ulk1H+R15+blP26Uv3s7WXF1Euv3aTo3elhzyweiUb534HQMchIxjw0OMoqjmcLye1mO1LTnE2Wh4yZ+ckz1dqHeWPsgbrXulMOv489Sc/HP2BjBL5g5mXnRePtHuEseFj0drUTo/HdaMkB2b3hYJkpMi7SOvwEce3neP0/owLvUa2Slp28aZN3wB8mzlf8fctLe4UC954GbPJyMBHn6bjLbdecxPzdflM3zWd1YmrAWjt3prpfabT0q3mf4Mlo5GiLVvJW7KEos2brcO5lI6OOI8YjuvYcdi1a3vNbb8eXK53qZVbK8aFj+PWZrdWq3dJkiT+OZrGR38fIyOrALXZQHtPO0YG2pKwdiPNzkTTOucMqvLLG6hU2HXsiENUbxyjotC2a1dpoY2s0iyWxC5hccxiMkrl31+VQsXA4IGMjxhPF58ujf//wXUcmppESHr77bd5552KZ8VbtWrFyZMnq3wMEZKaHusQqSEh9Lr9Bp+PdF7WKfi6K6g08FrSlRfpPLESFt0HbmEw8WCDrEvTWFQoJT+pY43mjFRX0skc/p0TTVmxAa2jLUMmtCOw1fW9OG+jV5IDKfshaY8cmlL2g67g0v1cQyr2NvlGgo08jO3IhjWsm/MNSBKRA25h0IRnUNagImTi0Sy2LzlNXrrc2+UR4EifO1vW+D2gN+lZdmoZPxz7gbRiuVfSQ+vBw+0e5s5Wd2Jn0/R7E5AkWHQfZcc3EqMYw3HFPeSklVpv9ghwoE2fAMK7+1y216g8XUkJv015nrz0VFp2783Iya9d8wfWrclbeWvHW2SWZqJSqHgs8jGeaP9Erc4pM6RnkL98OXlLlmBISrJu17RpjevYsbiMGIHqOv4cJBkMmHV6JF0ZUlnZhcs6HeYyHZJeh7msDLNOx9nMUxxI3kNc+nGUBhNqo4Sd2YYWdsE01wbhorBH0unkr7IyzHo9UpnlWJbt579XmEdUCdvgYBz7yPOK7Hv0qDCErkL7LXOqFpxcwL9n/sVoqebprnVnXPg4xoWPw8fBp9Zft3pjNkPmiQuhKXE7lOZU3Mc3Ep7c1jDtK6fJhKQlS5awfv166zYbGxs8Pau+oKIISU3PvGk7KMwuY8RzHQhpwMn2jYokwcfNoSQbHl0nz8O4nL+ehYO/Qo8nYdjM+mtjI7Xup2hi96TTdXgoPUbW3aLEkiRxaH0SO/88jSSBV7ATw56MxMn9Bjvj3xiYzfIcvuQ9FwpDZJwALvp3qNLIZz4tlfSik0ysnTsPSTLTum9/hj41CWUNyjGbTGaObUph798X5iuFdfDEK9gJhUKBQon8oVwhf1ec/668cJ3z25Xyd7NkZn/mfjYlbSJXn4OEhIPagZuDbqZPYBQaG4113/LHRHnRY1iOebnHvng7F93vku3KSvavrB3nv1eTJEmkrvyV4/+d4nRZFCbkUGtjq6RFNx/a9vHHJ+zKvUYXH++frz7h5PbNOHl68cDMr9Be5kNvVZQYSvhk3ycsjpWLgIQ6h/JBnw+I9Iqs8TGvRjKbKdmzh7zFSyj891+k8wvVajQ4Dx2C69ix2HXtWuPgJ4eVcgHjMmFFsmw363RI1u3nQ4llW7kwcq1hpT6YbGwpttFSGhFJ65GDcLupL+rAwCvep8xYxuqE1Sw4uYATOSes2zt4dWB8xHgGhwxumnMKKwtNbUbByC8aumVVzgaNfjKHjY0Nvr6+Dd0MoZEoyC6lMLsMhVKBX/NrKH3Z1CgUENQDYv6Bs7suH5IkCU6tky+3vPJCmTcK/5auxO5J51xsXp09hkFnYuOvJzi1Tx5WEdHTl5vuaYWNmH/UMJRK8I6Qvzo/IG8rK5B7mM5X0kveK58FTdotfwFtAVWzlvwT78uJrRsx5adx6+Q3UdlVb4K4SqWkw8Agwnv4sHdlAse2niPhcBYJhytZYLdanOjCyApb9NHwH7HXeNx6cnEwUwCVBCqFEmtINBsMlJUEAvIHVY8AR9r29Se8h2+N5nxFb1rPye2bUSiVDJ/4yjUFpAPpB5i2bRrJRckA3Nf6PiZ2nljnvXsKpRKHnj1x6NkTY24uBStXkbdkCbrYWPL/WkH+XyvkAgJ9+yKZjNdlWFFoNCg0GpSW7wqtBqVag0KrRaFRo9Ro5du1GhRq+fYMUz7HC2M5URRPqcqE3gYUajVtAzrTM6QvoV4tUWq1KDRalBq1fCy15RgaDQq1ulrDbFOKUlgUs4g/T/1pXfNMrVRza7NbuTvibtp6NPFhkEqlvM6dT1vo8YQcmgzFV79fI9LoQ9KpU6fw9/dHq9XSq1cvZsyYQXBw8GX31+l06HQXSsQWFFQypEK4bp07lQfIZ+FFwYaLnA9Jlg90lUo9DEVp8jjh0D7117ZGLCBcHuaUnlCA0WDCxrZ2g0t+ZgmrZx8lO6UYpVJBnztb0u6mgMY/3vxGo3WG5v3lL5BPKOTEXwhMSXsgPZoI9SlUATmsSo4g9sgJTM8NYURXNTbB3S+s3eQWWqVhrHaOavqNb0XbmwI4sT0Vo96EJMm9GZIEmKUK1yVJQjLLbbv8dnmb2WwmqySbtKI0dCY9CkmBjcIGLzsv3DXuKFDKj3H+GBc9FpZjSlIVt1fS1os75q7q/P3PX6kiG0UZLX0SafvgvXiHVr3X6GLZyUls+Hk2AFF33kdAq9Y1Oo7OpOObg98wN3ouEhJ+Dn68F/UePfx61Oh418LGzQ33B+7H7f77KDt2jLw/FlPw99/oz5xBf+bMNR9fDihalGr1FQKKJXRUElzkkKO9EETOB5+LA0qF7eoa/Yx9gfZAXlkeK+NXsjh2MQn5CaxnD1/k76G1qjVjw8dya9it2KlrFo7NkpldqbtYcHIBm5M2W9c28nfw566Iu7ijxR24al1rdOzrnlIJmpqtZ9VQGvVwu9WrV1NUVESrVq1ITU3lnXfeISUlhWPHjuHkVPkLXdk8JkAMt2si/pt3ghM7Uuk0OJjeY1o0dHMal7O74KchYO8JL5+u/EPa5o9g43RoNRzG/17/bWyEJEli7qvbKSnQc/uLnfBvWXvzg85GZ/Pvj9HoSozYOdky9PFI/Fu61trxhXqmL7YseLuHhH07WbGrCKOkJNQhh1GBJ7BVWiZwO3hdCEyB3eQCEZqa90hcC6PZyOqE1Xx/5HsSCxIBcFI7cX+b+7m39b04q6v5f9GoB32R5avY8lUEuqILly3fJd357yVI+hIkXZHleynoS5H0xUiGUiSzCUlSIqEAFEjIlyXpwmXOb0Nh3ff8dhc3Beqn11e7zHt5Br2OBdNeJPNsIsGRHRk79d1qF+cAOJF9gqnbploXPR3dYjSvdHulxoud1gVzcTEFa/9FnxBvCS4XBZvLhRVLQJF7WzQ1DiuNhSRJHMg4wOLYxaxLXIferAfkyni3ht3KuPBxtPWsWm9Pkb6Iv+L+YuHJhdbfM4Befr0YHzGefoH9qlW9UKhbTWJO0sXy8vIICQnhs88+49FHH610n8p6koKCgkRIaiLOL/45/Jn2hEZWfW7aDcFQBh8GgUkPzx0Aj0qKWswZKJdLHvkFdHmo3pvYWK2dc4zT+zPoPjKMbsOvvcyvJEkcWHuGXX/FgwQ+Yc4MfTwSR7cbpzzzjeDs0UMs++hdjHo9Qb4OjI7IQp15WK4cWZ5CCd5tL4SmoO7g3vyaFrytEmugKcakK2Bt0ka+i/+L+FK5wIOjUs29Lm25374ZLibDJSHHGoJ05ULRxc+tNtloQe1g+XIqd9lBPgNtve5Y8XuLQWDnek0Pvf7H/3H437+xd3HlgY++wsG1eidLjGYjPx79kdmHZ2OUjLhr3Xm719v0D+5/Te0S6kdeWR4r4lawOHZxhZDT2l3uXRrebHjFBdkt4vLiWHByASvjVlJilIuxONg6MLqFvLZRmMuNsW7V9aZJhiSAbt26MWjQIGbMmFGl/UXhhqajMKeMeVN3oFDAY5/1Q12D8eZN3o+3yMPtLGuEVFCcBR+3ACSYfAKc/RukiY3R0U3JbFkYS2CEG7dN6nRNx9KXGfnvlxPEHZTXLmkT5Ue/u1uhsq3jD8RCg0g+Gc2yD99GX1qKf6s23PHiq2gK4sqVIN8H+UmX3lHreiE0BXYD/05y7681lFwcWC7Xc3OZ2/XF8gmTi5iAdQ72fOfqzGm1PFncwWzmnoJCHsgvxNVsvuQ+laoQaBwr/65xLLft/PaLr1v2s3Wo0rpVdeHU7h2s+OwDAMa89g6hHau3ZlpCfgLTtk3jaNZRAAYFD+KNXm/grq37aplC7ZIkif3p++XepTPrMFhOClh7l1qNo5VbKzYnbWbByQXsTrswvL25S3PGR4xnRPMRlQYqofFoMoUbyisqKiIuLo7777+/oZsiNIAK85FEQKpcUA85JJ3ddWlIOrUOkMC3vQhIF/EPdwUgLS4fk9GMyqZmgSYvvYR/Zh8lN7UYpUpBv7vDads34Op3FK5bgRFtGTvtfZbOeJNzMcdZMvN9xkx9D2354ikFqRVD07mDUJYHp9fLX3VNpbGGEZXakaFqB26xtWeDjZnZ5kxiKWGOqwvz3Ty427UdD/r0wt3e+wrhxqFRrHVSGwoyM1j7nVxtq9uoMdUKSGbJzIKTC/h8/+foTDqcbJ14rcdrjGg24roehnYjUygUdPXtSlffrkwpm8KKuBUsiV1CYkEiS08tZemppTjaOlJkKAJAqVAyIGgA4yPG0823m/i5NzGN+pPmSy+9xMiRIwkJCeHcuXO89dZbqFQqxo8f39BNExrAuVh5kTIxp+MKgnvCji8rL94Qa1lkNnxI/bbpOuDu54DW0ZayIgOZZwvxbVb9yomJR7JY91M0+jIT9i5qhj0RWaPjCNcfv5atGPfGByyZ/gZpcaf4472pjJ32HvbOlp+/s59c+rbNKPm6yQDpxy5U0kvaA7kJ8m3nA02F3hiHq/fIaK5weyWBRgkMBgZKZjYmbeS7w99xIucEP+UeYkFhDHe1uosHWzyIp13THdZsMhpZ9eVH6IqL8WvRiqi7qn4C9lzROd7Y/gZ70vYA8tyTd6PexddBVONtKty0bjzY9kEeaPMA+9L3sTh2MevPrKfIUISbxo2x4WMZFz4OP0e/hm6qUEcadUhKTk5m/PjxZGdn4+XlRZ8+fdi1axdeXl4N3TShAaRYepLOVyMTKhFkqZ6UeVJeQPP8RGaTAeL+ky+3FCHpYgqFAv+WrsQfzCQlNrda4UYyS+xbncielfKHXL/mLgx5vB0OLmL+0Y3EJ6w5d735AYvff53MxHj+eOc1xr0xvfK5LSpbeXidfyfoPkHepi+Rt9dzD41SoWRg8EAGBA1gc/JmZh+eTXR2NHOj57Lw5ELGtRrHw20fxsu+6f3f3bnkd1JjT6K2s2f48y+jsrn6RyJJklh+ejkz986k2FCMnY0dL3Z5kTtb3Sl6EZoohUJBN99udPPtRm5ZLvH58bTzbIdGJf7GN3WNepD8woULOXfuHDqdjuTkZBYuXEjz5pVMRheavOI8HfkZpaAAvxbi7PxlOXiCh6XqX/LeC9vP7gJdAdh7QEDnhmlbI3e+h/L8sM6q0JUa+Wf2UWtAandTALe90EkEpBuUZ3Aod739IY5u7mQnn2XR21MozK7i2kdq+wYdwqZQKLg56GYWDF/AtwO/pb1ne8pMZfx6/FeG/TmMD/d8SHpxeoO1r7adOXKI3cvlBV4HP/4sLt5X7wHKKs1i4saJvLnjTYoNxXT06siSkUu4K+IuEZBuEG5aN7r4dBEB6QbRqEOSIJyXckoeaucV5ITGvmmMha8zQT3l72d3Xdh2aq38vcVgEGVIK3U+JKWezsdsuvrk9ZzUYpZ8uI/EI1mobJQMeCCCm8a3qvF8JqFpcPcP5K63Z+Lk6UVuagqL3n6V/IzrJ1woFAr6Bvblt1t/47tB39HRqyM6k475J+Zz65+3Mn3XdNKK0xq6mdekOC+X1d98CpJE5MAhRPTud9X7rDuzjjv+uoNNSZuwVdoyqfMk5g6dS7Dz5ddtFATh+ib+mwvXhZTYPEDMR6qSYMuQu/LzkmL/lb+H31L/7blOeAQ4orG3waAzkZlUdMV94w9msuTDfeSll+DopuH2lzrTurcohiHIXH39uPudmbj6+JGfkc6it6eQm5rS0M2qFoVCQe+A3swbNo85t8yhs3dn9GY9C2MWMuzPYby38z3OFZ1r6GZWm2Q2s+bbzynOy8UjMJj+D0644v4F+gJe2/oakzdNJleXS7hbOAuGL+DRyEfFujeC0MSJkCRcF85ZQlKApQqZcAXne5JS9svrpOQmQlYMKFTQfGCDNq0xUyoV+LVwBS683y5mNkvs+iuO1d8dxaAz4d/SlXGvdcMnVCwvIFTk7OnNXW9/iLt/IIXZmSx65zWyk882dLOqTaFQ0NOvJ3OHzuWnIT/RzbcbRrORP2L/YPiy4by9422SC5MbuplVtm/VMhIPH8DGVs2I51/BVqO97L47UnZw+1+3syp+FUqFkgmRE1g4fCGt3FvVY4sFQWgojbpwQ1Ozds4x9GVGlColSqUCpar8l1L+rrzo+vkvpbLy/Su5rlIpUFy0v0qlRKGseP38ZYXlcRvrmOrifB156SWW+UiuDd2cxs+zJdi5QWkupB2BlAPy9uCe17zgYlPn39KVxCNZnDudR6dbKg6jKSs2sO6n45yNzgag/YBAeo9pgUolzjUJlXN09+Cutz9k8fuvk3U2kUXvvMbYae/hHdqsoZtWbeUnr+9L28fsI7PZnbqbpaeW8tfpvxjZfCQTIicQ5BzU0E29rNRTMWxbOA+A/g89jmdwaKX7lRhK+Gz/ZyyKWQRAiHMI70e9T0fvjvXUUkEQGgMRkupRckwuZUV1uFr5NaoY3JQoLIHrklBWaZCru+CXkVgAgGegI1oHMR/pqhQKucpd7Bp5XlL8Rnl7SzHU7mrO91Smns7DbJZQKuUTB9kpRfwz+ygFmaWobJX0vy+CVj1EqV/h6uxdXLnzTbk8eEZCHIvfncqYae/h27xlQzetxrr6duUH3x84mHGQ2Ydns+PcDpadXsaKuBUMbzacCZETCHUJbehmVlBWXMSqLz7CbDIR3rMPkQMrr/J5KOMQ07ZN42yh3Os3PmI8kzpPwt7Wvj6bKwhCI6CQJElq6EbUpaquqlsfTu/PwKg3YTZJmM0SZpNZvmySL5tMEpL1umWbWb4smS7sbyp3u2S53WS66HiXHN9y3bI/1+FPvf2AQPreGd7Qzbg+bP0MNrwDLQZBwlYw6eDpXeDduqFb1qiZTWZ+eHErhjITd07rhleQE6f2pfPfvBMY9Wac3LUMezISr2Cnhm6qcJ0pKy7izxlvkXoqBrWdPXe89g4BrZrG7+PhzMN8d/g7tqZsBeSy4sPChvF4+8dp5tLwvWaSJLFq1kxid23D2cuH+2d+gdbBscI+epOebw99y8/RP2OWzPjY+/Be1Hv08u/VQK0WBKGuVDUbiJB0g6o8RF0taJnLba/a/pcLftJF9z8f/CTzhfuXD362GhUDHmiNu59DQ79014czO+DnYReuuwTDpCNyL5NwRSu/OszZ6GyixragpEDPwX/lM8qBEW7c8lhb7BzVDdxC4XqlLy1h2cx3ST5xDFuNltunvEVQm8iGblatOZZ1jO8Of8em5E0AKFAwNHQoT3R4guauDbd8x5ENa1j3/dcoVSruensm/uERFW6PyYlh6rapxObGAjCq+She7f4qzmrxmUEQmiIRkixESBJuSIZSmBEEZsvwzm6PwfBPG7ZN14n9axLZtTwepUoh97oCnQYH03N0M5Ri/pFwjQy6MpZ//D5njx7CRq3htpemEdqhaa1ddjz7ON8d/o7/kuQFrBUoGBwymCc6PEG4W/2OBshKOsP8117AaNDT956H6H7bWOttRrORudFz+ebQNxjNRty17rzZ800GhogCN4LQlFU1G4j/+ILQFNnagX/HC9dbVj7+XrhUQLgbAGaThI1ayS2PtqX3mBYiIAm1wlaj5fZX3qRZ524Y9TqWf/Qucfv3NHSzalUbjzZ8MeALFo9czOCQwUhI/HvmX8asGMMLG1/gZM7JemmHQVfGqlkzMRr0hLTvRLeRd1hvO1NwhgfXPMgXB77AaDYyIGgAf476UwQkQRCsxH99QWiqgizrJdnYQVjfhm3LdcQrxAmPAAfcfO0Z80pXWnbzaegmCU2MjVrNqBen0qJbL0xGIys+nU7s7u0N3axaF+EewWc3f8bSUUsZEjoEBQrWn13PuJXjmPjfRKKzo+v08Tf98gPZyWexd3Fl2DOTUSiVmCUzC04uYNzKcRzJPIKjrSPT+0xnVv9ZeNh51Gl7BEG4vojhdoLQVCVuh7m3Qvu74I7vG7o11xXJLIGCRlsWX2gaTEYjq7/5jJgdW1AolQS0aoOThydOnl44eXjh7Ollva6xd7ju349xeXF8d+Q71iSsQbJUD7op8Cae7PAk7Tzb1epjxezcyqpZM0GhYOzU9whp35G04jTe2P4Gu1J3AdDDrwfv9X4PP0e/Wn1sQRAaNzEnyUKEJOGGlh0Hzv7y8DtBEBods9nEv999RfSm9Vfcz1ZrJ4cmS3By9vCyhiknT0+c3D2xUV8fRUXi8+OZc2QO/yT8g1kyA9AnoA9PdniSDl4drvn4+RlpzHtlIvrSErqPHkefux9gVfwqZuyeQaGhEK1KywtdXuDuiLtRKsSAGkG40YiQZCFCkiAIgtCYSZJERkIcuWnnKMzKpCArk8LsLAqzMinMzqS0sKBKx7F3cZVDk4dnuUB1oUfKwdUNhbLxhIIzBWeYc2QOq+JXYZJMAPTy68VTHZ+ik3enGh3TZDSy8K1XSDsdi194BLe8+grv7/2ADWc3ANDesz3T+0xvdOs4CYJQf0RIshAhSRAEQbieGXRlFGZnywEqO4PCrCwKs+UgVWAJUkad7qrHUapscHT3qDCMz9naGyVva4hhfUkFSfxw7AdWnF6BUTIC0MO3B092eJKuvl2rdawt839m74qlaBwcaD7xbj6MmUVOWQ42Shue7vA0D7d7GBulTV08DUEQrhMiJFmIkCQIgiA0ZZIkUVZUeCE0ZWWUC1Byj1RRbjaS2XzVY6nt7CqEpvLD+pw9vXD08MTG1rZOnkdyYTI/HvuR5aeXYzTLYamrT1ee6vAU3Xy7XTW8JR7az9IZbwFQOCyEpYotALRwbcGMvjOIcI+40t0FQbhBiJBkIUKSIAiCcKMzm0wU5eZYQlPGhQCVnUlhVhYF2ZmUVXNYX/keKet1Ty8cXFyvaVjfuaJz/HTsJ/489ScGy1pvnb0782SHJ+np17PSsFSUm8O8V56jtCCfs81N/NcqGaVCyUNtH+KZjs+gVl0f87UEQah7IiRZiJAkCIIgCFcnD+u7MISvMCvzkh4po75qw/qcPDwq9kiVG9bnbKnWdzVpxWn8dOwnlsYuRW/WA9DBqwNPdXiK3v69rWFJMpv54/1pJEcfJcdJz9+90/B3DWR6n+k1ntskCELTJUKShQhJgiAIgnDtzg/rk4f0yUGqYpGJLIpyspGk6g3rc/a4tEeq/LC+jJIMfj72M4tjF6MzySGtvWd7nujwBH0D+rJi/lecXvkvBpWZVVGpDO0yhsldJmNva1+nr4cgCNcnEZIsREgSBEEQhPohD+vLtg7hOx+myvdIVWdYX/keKKWzHXuKj7A+dyu56lJKNSY6GsJov8GEUlJwpIuex+99i6iAqDp+loIgXM9ESLIQIUkQBEEQGg9DWZkcoMqVOb+4R6oqw/pMCglJIWFjVlLW0oVnXv8GV61r3T8BQRCua1XNBqIOpiAIgiAI9cZWq8UjIAiPgKBKb5ckidLCgovmRJWbI5WdSXFODirJDJICjacrz079Ho1WDK8TBKH2iJAkCIIgCEKjoVAosHd2wd7ZBZ9mLSrd5/ywvqKcbNz9g9DYi4AkCELtEiFJEARBEITrilKlwtnTG2dP74ZuiiAITVTNFzIQBEEQBEEQBEFogkRIEgRBEARBEARBKEeEJEEQBEEQBEEQhHJESBIEQRAEQRAEQShHhCRBEARBEARBEIRyREgSBEEQBEEQBEEoR4QkQRAEQRAEQRCEckRIEgRBEARBEARBKEeEJEEQBEEQBEEQhHKui5D0zTffEBoailarpUePHuzZs6ehmyQIgiAIgiAIQhPV6EPSokWLmDx5Mm+99RYHDhygQ4cODBkyhIyMjIZumiAIgiAIgiAITVCjD0mfffYZEyZM4OGHH6ZNmzbMnj0be3t7fvrpp4ZumiAIgiAIgiAITVCjDkl6vZ79+/czaNAg6zalUsmgQYPYuXNnpffR6XQUFBRU+BIEQRAEQRAEQaiqRh2SsrKyMJlM+Pj4VNju4+NDWlpapfeZMWMGLi4u1q+goKD6aKogCIIgCIIgCE2ETUM3oLa99tprTJ482Xo9Pz+f4OBg0aMkCIIgCIIgCDe485lAkqQr7teoQ5KnpycqlYr09PQK29PT0/H19a30PhqNBo1GY71+/oUQPUqCIAiCIAiCIAAUFhbi4uJy2dsbdUhSq9V06dKFDRs2MHr0aADMZjMbNmzg2WefrdIx/P39SUpKwsnJCYVCUYetvbqCggKCgoJISkrC2dm5Qdsi3BjEe06oT+L9JtQ38Z4T6pN4vzUNkiRRWFiIv7//Ffdr1CEJYPLkyTz44IN07dqV7t27M2vWLIqLi3n44YerdH+lUklgYGAdt7J6nJ2dxS+XUK/Ee06oT+L9JtQ38Z4T6pN4v13/rtSDdF6jD0l33XUXmZmZvPnmm6SlpdGxY0fWrFlzSTEHQRAEQRAEQRCE2tDoQxLAs88+W+XhdYIgCIIgCIIgCNeiUZcAb2o0Gg1vvfVWhcISglCXxHtOqE/i/SbUN/GeE+qTeL/dWBTS1erfCYIgCIIgCIIg3EBET5IgCIIgCIIgCEI5IiQJgiAIgiAIgiCUI0KSIAiCIAiCIAhCOSIkCYIgCIIgCIIglCNCUj365ptvCA0NRavV0qNHD/bs2dPQTRKaoBkzZtCtWzecnJzw9vZm9OjRxMTENHSzhBvIhx9+iEKhYNKkSQ3dFKGJSklJ4b777sPDwwM7OzsiIyPZt29fQzdLaKJMJhNvvPEGYWFh2NnZ0bx5c9577z1E7bOmTYSkerJo0SImT57MW2+9xYEDB+jQoQNDhgwhIyOjoZsmNDGbN2/mmWeeYdeuXaxbtw6DwcAtt9xCcXFxQzdNuAHs3buX7777jvbt2zd0U4QmKjc3l6ioKGxtbVm9ejXHjx/n008/xc3NraGbJjRRM2fO5H//+x9ff/01J06cYObMmXz00Ud89dVXDd00oQ6JEuD1pEePHnTr1o2vv/4aALPZTFBQEM899xxTpkxp4NYJTVlmZibe3t5s3ryZfv36NXRzhCasqKiIzp078+233/L+++/TsWNHZs2a1dDNEpqYKVOmsH37drZu3drQTRFuECNGjMDHx4cff/zRum3MmDHY2dnx22+/NWDLhLokepLqgV6vZ//+/QwaNMi6TalUMmjQIHbu3NmALRNuBPn5+QC4u7s3cEuEpu6ZZ55h+PDhFf7WCUJtW7FiBV27dmXcuHF4e3vTqVMn5syZ09DNEpqw3r17s2HDBmJjYwE4fPgw27ZtY9iwYQ3cMqEu2TR0A24EWVlZmEwmfHx8Kmz38fHh5MmTDdQq4UZgNpuZNGkSUVFRtGvXrqGbIzRhCxcu5MCBA+zdu7ehmyI0cfHx8fzvf/9j8uTJTJ06lb179zJx4kTUajUPPvhgQzdPaIKmTJlCQUEBERERqFQqTCYT06dP5957723opgl1SIQkQWjCnnnmGY4dO8a2bdsauilCE5aUlMTzzz/PunXr0Gq1Dd0coYkzm8107dqVDz74AIBOnTpx7NgxZs+eLUKSUCf++OMP5s+fz++//07btm05dOgQkyZNwt/fX7znmjARkuqBp6cnKpWK9PT0CtvT09Px9fVtoFYJTd2zzz7LqlWr2LJlC4GBgQ3dHKEJ279/PxkZGXTu3Nm6zWQysWXLFr7++mt0Oh0qlaoBWyg0JX5+frRp06bCttatW7N06dIGapHQ1L388stMmTKFu+++G4DIyEjOnDnDjBkzREhqwsScpHqgVqvp0qULGzZssG4zm81s2LCBXr16NWDLhKZIkiSeffZZli1bxn///UdYWFhDN0lo4gYOHMjRo0c5dOiQ9atr167ce++9HDp0SAQkoVZFRUVdsqxBbGwsISEhDdQioakrKSlBqaz4kVmlUmE2mxuoRUJ9ED1J9WTy5Mk8+OCDdO3ale7duzNr1iyKi4t5+OGHG7ppQhPzzDPP8Pvvv/PXX3/h5OREWloaAC4uLtjZ2TVw64SmyMnJ6ZI5bw4ODnh4eIi5cEKte+GFF+jduzcffPABd955J3v27OH777/n+++/b+imCU3UyJEjmT59OsHBwbRt25aDBw/y2Wef8cgjjzR004Q6JEqA16Ovv/6ajz/+mLS0NDp27MiXX35Jjx49GrpZQhOjUCgq3f7zzz/z0EMP1W9jhBvWzTffLEqAC3Vm1apVvPbaa5w6dYqwsDAmT57MhAkTGrpZQhNVWFjIG2+8wbJly8jIyMDf35/x48fz5ptvolarG7p5Qh0RIUkQBEEQBEEQBKEcMSdJEARBEARBEAShHBGSBEEQBEEQBEEQyhEhSRAEQRAEQRAEoRwRkgRBEARBEARBEMoRIUkQBEEQBEEQBKEcEZIEQRAEQRAEQRDKESFJEARBEARBEAShHBGSBEEQBEEQBEEQyhEhSRAEQRBq2aZNm1AoFOTl5TV0UwRBEIQaECFJEARBqLaHHnoIhULBhx9+WGH78uXLUSgUDdSq2hEaGsqsWbMauhmCIAhCAxIhSRAEQagRrVbLzJkzyc3NrffHNhgM9f6YgiAIwo1DhCRBEAShRgYNGoSvry8zZsy44n7btm2jb9++2NnZERQUxMSJEykuLrberlAoWL58eYX7uLq6MnfuXAASExNRKBQsWrSIm266Ca1Wy/z58zGbzbz77rsEBgai0Wjo2LEja9assR7j/P3+/PNP+vfvj729PR06dGDnzp3Vep4KhYIffviB22+/HXt7e1q2bMmKFSsq7PPPP/8QHh6OnZ0d/fv3JzExsVqvw7x583B0dOTUqVPW/Z9++mkiIiIoKSmpVnsFQRCEaydCkiAIglAjKpWKDz74gK+++ork5ORK94mLi2Po0KGMGTOGI0eOsGjRIrZt28azzz5b7cebMmUKzz//PCdOnGDIkCF88cUXfPrpp3zyySccOXKEIUOGMGrUqApBA2DatGm89NJLHDp0iPDwcMaPH4/RaKzWY7/zzjvceeedHDlyhFtvvZV7772XnJwcAJKSkrjjjjsYOXIkhw4d4rHHHmPKlCnVeh0eeOAB63GNRiN///03P/zwA/Pnz8fe3r7ar5UgCIJwjSRBEARBqKYHH3xQuu222yRJkqSePXtKjzzyiCRJkrRs2TKp/L+WRx99VHr88ccr3Hfr1q2SUqmUSktLJUmSJEBatmxZhX1cXFykn3/+WZIkSUpISJAAadasWRX28ff3l6ZPn15hW7du3aSnn366wv1++OEH6+3R0dESIJ04ceKyzy0kJET6/PPPrdcB6fXXX7deLyoqkgBp9erVkiRJ0muvvSa1adOmwjFeffVVCZByc3Or/Drk5ORIgYGB0lNPPSX5+Phc8twEQRCE+iN6kgRBEIRrMnPmTH755RdOnDhxyW2HDx9m7ty5ODo6Wr+GDBmC2WwmISGhWo/TtWtX6+WCggLOnTtHVFRUhX2ioqIuaUf79u2tl/38/ADIyMio1mOXP4aDgwPOzs7WY5w4cYIePXpU2L9Xr14VrlfldXBzc+PHH3/kf//7H82bN7+kN0oQBEGoPzYN3QBBEATh+tavXz+GDBnCa6+9xkMPPVThtqKiIp544gkmTpx4yf2Cg4MBec6PJEkVbqusMIODg0ON2mdra2u9fL7yntlsrvExzh+nOseoyusAsGXLFlQqFampqRQXF+Pk5FStdgqCIAi1Q4QkQRAE4Zp9+OGHdOzYkVatWlXY3rlzZ44fP06LFi0ue18vLy9SU1Ot10+dOnXVYgXOzs74+/uzfft2brrpJuv27du307179xo+i5pp3br1JYUcdu3aVeF6VV6HHTt2MHPmTFauXMmrr77Ks88+yy+//FInbRYEQRCuTAy3EwRBEK5ZZGQk9957L19++WWF7a+++io7duzg2Wef5dChQ5w6dYq//vqrQuGGAQMG8PXXX3Pw4EH27dvHk08+eUnPTWVefvllZs6cyaJFi4iJiWHKlCkcOnSI559/vtaf35U8+eSTnDp1ipdffpmYmBh+//13a2W+8672OhQWFnL//fczceJEhg0bxvz581m0aBFLliyp1+ciCIIgyERIEgRBEGrFu+++e8kQtPbt27N582ZiY2Pp27cvnTp14s0338Tf39+6z6effkpQUBB9+/blnnvu4aWXXqpSRbeJEycyefJkXnzxRSIjI1mzZg0rVqygZcuWtf7criQ4OJilS5eyfPlyOnTowOzZs/nggw8q7HO11+H555/HwcHBer/IyEg++OADnnjiCVJSUur1+QiCIAigkC4eCC4IgiAIgiAIgnADEz1JgiAIgiAIgiAI5YiQJAiCIAiCIAiCUI4ISYIgCIIgCIIgCOWIkCQIgiAIgiAIglCOCEmCIAiCIAiCIAjliJAkCIIgCIIgCIJQjghJgiAIgiAIgiAI5YiQJAiCIAiCIAiCUI4ISYIgCIIgCIIgCOWIkCQIgiAIgiAIglCOCEmCIAiCIAiCIAjl/B/iHA8TFrT2IgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot Accuracy Dop\n",
    "fig = plt.figure(facecolor=\"w\", figsize=(10, 5))\n",
    "plt.plot(fc2_acc_loss_rec)\n",
    "plt.plot(fc2_acc_loss_rec_2)\n",
    "plt.plot(fc2_acc_loss_rec_3)\n",
    "plt.plot(fc2_acc_loss_rec_4)\n",
    "plt.plot(fc2_acc_loss_rec_5)\n",
    "plt.plot(fc2_acc_loss_rec_6)\n",
    "plt.title(\"Lapicque RC Model: Output Layer Accuracy Loss\")\n",
    "plt.legend([\"Trial 1\", \"Trial 2\",\"Trial 3\",\"Trial 4\",\"Trial 5\",\"Trial 6\",])\n",
    "plt.xlabel(\"Neuron Index\")\n",
    "plt.ylabel(\"% Accuracy Drop\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting Hidden Layer Trial 2\n",
      "Starting Hidden Layer Trial 3\n",
      "Starting Hidden Layer Trial 4\n",
      "Starting Hidden Layer Trial 5\n",
      "Starting Hidden Layer Trial 6\n"
     ]
    }
   ],
   "source": [
    "# Multi-trial Hidden Layer Corruption\n",
    "\n",
    "print(\"Starting Hidden Layer Trial 2\")\n",
    "fc1_acc_loss_rec_2 = []\n",
    "\n",
    "test_net = Net()\n",
    "test_net.load_state_dict(torch.load('ref_snn_lapicque.pth'))\n",
    "test_net.to(device)\n",
    "\n",
    "acc_ref = acc_test(test_net, mnist_test, batch_size)\n",
    "# print(f\"Base Accuracy: {(acc_ref):.2f}%\")\n",
    "for x in range(0,1000):\n",
    "    test_net = Net()\n",
    "    test_net.load_state_dict(torch.load('ref_snn_lapicque.pth'))\n",
    "    test_net.to(device)\n",
    "    acc = acc_test(mod_fc1(test_net, x), mnist_test, batch_size)\n",
    "    # print(f\"Accuracy loss of Output Layer Parameter Corruption({x}): {(acc_ref-acc):.2f}%\")\n",
    "    fc1_acc_loss_rec_2.append(acc_ref-acc)\n",
    "\n",
    "print(\"Starting Hidden Layer Trial 3\")\n",
    "fc1_acc_loss_rec_3 = []\n",
    "\n",
    "test_net = Net()\n",
    "test_net.load_state_dict(torch.load('ref_snn_lapicque.pth'))\n",
    "test_net.to(device)\n",
    "\n",
    "acc_ref = acc_test(test_net, mnist_test, batch_size)\n",
    "# print(f\"Base Accuracy: {(acc_ref):.2f}%\")\n",
    "for x in range(0,1000):\n",
    "    test_net = Net()\n",
    "    test_net.load_state_dict(torch.load('ref_snn_lapicque.pth'))\n",
    "    test_net.to(device)\n",
    "    acc = acc_test(mod_fc1(test_net, x), mnist_test, batch_size)\n",
    "    # print(f\"Accuracy loss of Output Layer Parameter Corruption({x}): {(acc_ref-acc):.2f}%\")\n",
    "    fc1_acc_loss_rec_3.append(acc_ref-acc)\n",
    "\n",
    "print(\"Starting Hidden Layer Trial 4\")\n",
    "fc1_acc_loss_rec_4 = []\n",
    "\n",
    "test_net = Net()\n",
    "test_net.load_state_dict(torch.load('ref_snn_lapicque.pth'))\n",
    "test_net.to(device)\n",
    "\n",
    "acc_ref = acc_test(test_net, mnist_test, batch_size)\n",
    "# print(f\"Base Accuracy: {(acc_ref):.2f}%\")\n",
    "for x in range(0,1000):\n",
    "    test_net = Net()\n",
    "    test_net.load_state_dict(torch.load('ref_snn_lapicque.pth'))\n",
    "    test_net.to(device)\n",
    "    acc = acc_test(mod_fc1(test_net, x), mnist_test, batch_size)\n",
    "    # print(f\"Accuracy loss of Output Layer Parameter Corruption({x}): {(acc_ref-acc):.2f}%\")\n",
    "    fc1_acc_loss_rec_4.append(acc_ref-acc)\n",
    "\n",
    "print(\"Starting Hidden Layer Trial 5\")\n",
    "fc1_acc_loss_rec_5 = []\n",
    "\n",
    "test_net = Net()\n",
    "test_net.load_state_dict(torch.load('ref_snn_lapicque.pth'))\n",
    "test_net.to(device)\n",
    "\n",
    "acc_ref = acc_test(test_net, mnist_test, batch_size)\n",
    "# print(f\"Base Accuracy: {(acc_ref):.2f}%\")\n",
    "for x in range(0,1000):\n",
    "    test_net = Net()\n",
    "    test_net.load_state_dict(torch.load('ref_snn_lapicque.pth'))\n",
    "    test_net.to(device)\n",
    "    acc = acc_test(mod_fc1(test_net, x), mnist_test, batch_size)\n",
    "    # print(f\"Accuracy loss of Output Layer Parameter Corruption({x}): {(acc_ref-acc):.2f}%\")\n",
    "    fc1_acc_loss_rec_5.append(acc_ref-acc)\n",
    "\n",
    "print(\"Starting Hidden Layer Trial 6\")\n",
    "fc1_acc_loss_rec_6 = []\n",
    "\n",
    "test_net = Net()\n",
    "test_net.load_state_dict(torch.load('ref_snn_lapicque.pth'))\n",
    "test_net.to(device)\n",
    "\n",
    "acc_ref = acc_test(test_net, mnist_test, batch_size)\n",
    "# print(f\"Base Accuracy: {(acc_ref):.2f}%\")\n",
    "for x in range(0,1000):\n",
    "    test_net = Net()\n",
    "    test_net.load_state_dict(torch.load('ref_snn_lapicque.pth'))\n",
    "    test_net.to(device)\n",
    "    acc = acc_test(mod_fc1(test_net, x), mnist_test, batch_size)\n",
    "    # print(f\"Accuracy loss of Output Layer Parameter Corruption({x}): {(acc_ref-acc):.2f}%\")\n",
    "    fc1_acc_loss_rec_6.append(acc_ref-acc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot Accuracy Dop\n",
    "fig = plt.figure(facecolor=\"w\", figsize=(10, 5))\n",
    "plt.plot(fc1_acc_loss_rec)\n",
    "plt.plot(fc1_acc_loss_rec_2)\n",
    "plt.plot(fc1_acc_loss_rec_3)\n",
    "plt.plot(fc1_acc_loss_rec_4)\n",
    "plt.plot(fc1_acc_loss_rec_5)\n",
    "plt.plot(fc1_acc_loss_rec_6)\n",
    "plt.title(\"Lapicque RC Model: Hidden Layer Accuracy Loss\")\n",
    "plt.legend([\"Trial 1\", \"Trial 2\",\"Trial 3\",\"Trial 4\",\"Trial 5\",\"Trial 6\",])\n",
    "plt.xlabel(\"Neuron Index\")\n",
    "plt.ylabel(\"% Accuracy Drop\")\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "snntorch-env",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
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