eval_net_Rleaky.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cuda\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",
    "import gc\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",
    "print(device)\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",
    "V1 = 0.5 # shared recurrent connection\n",
    "V2 = torch.rand(num_outputs) # unshared recurrent connections\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",
    "\n",
    "        # Default RLeaky Layer where recurrent connections\n",
    "        # are initialized using PyTorch defaults in nn.Linear.\n",
    "        self.lif1 = snn.RLeaky(beta=beta,\n",
    "                    linear_features=num_hidden)\n",
    "\n",
    "        self.fc2 = nn.Linear(num_hidden, num_outputs)\n",
    "\n",
    "        # each neuron has a single connection back to itself\n",
    "        # where the output spike is scaled by V.\n",
    "        # For `all_to_all = False`, V can be shared between\n",
    "        # neurons (e.g., V1) or unique / unshared between\n",
    "        # neurons (e.g., V2).\n",
    "        # V is learnable by default.\n",
    "        self.lif2 = snn.RLeaky(beta=beta, all_to_all=False, V=V1)\n",
    "\n",
    "    def forward(self, x):\n",
    "        # Initialize hidden states at t=0\n",
    "        spk1, mem1 = self.lif1.init_rleaky()\n",
    "        spk2, mem2 = self.lif2.init_rleaky()\n",
    "\n",
    "        # Record output layer spikes and membrane\n",
    "        spk2_rec = []\n",
    "        mem2_rec = []\n",
    "\n",
    "        # time-loop\n",
    "        for step in range(num_steps):\n",
    "            cur1 = self.fc1(x)\n",
    "            spk1, mem1 = self.lif1(cur1, spk1, mem1)\n",
    "            cur2 = self.fc2(spk1)\n",
    "            spk2, mem2 = self.lif2(cur2, spk2, mem2)\n",
    "\n",
    "            spk2_rec.append(spk2)\n",
    "            mem2_rec.append(mem2)\n",
    "\n",
    "        # convert lists to tensors\n",
    "        spk2_rec = torch.stack(spk2_rec)\n",
    "        mem2_rec = torch.stack(mem2_rec)\n",
    "\n",
    "        return spk2_rec, mem2_rec\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": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 0, Iteration 0\n",
      "Train Set Loss: 56.21\n",
      "Test Set Loss: 52.80\n",
      "Train set accuracy for a single minibatch: 16.41%\n",
      "Test set accuracy for a single minibatch: 14.06%\n",
      "\n",
      "\n",
      "Epoch 0, Iteration 50\n",
      "Train Set Loss: 15.18\n",
      "Test Set Loss: 15.76\n",
      "Train set accuracy for a single minibatch: 91.41%\n",
      "Test set accuracy for a single minibatch: 88.28%\n",
      "\n",
      "\n",
      "Epoch 0, Iteration 100\n",
      "Train Set Loss: 12.86\n",
      "Test Set Loss: 9.10\n",
      "Train set accuracy for a single minibatch: 92.97%\n",
      "Test set accuracy for a single minibatch: 91.41%\n",
      "\n",
      "\n",
      "Epoch 0, Iteration 150\n",
      "Train Set Loss: 7.27\n",
      "Test Set Loss: 8.40\n",
      "Train set accuracy for a single minibatch: 98.44%\n",
      "Test set accuracy for a single minibatch: 93.75%\n",
      "\n",
      "\n",
      "Epoch 0, Iteration 200\n",
      "Train Set Loss: 11.29\n",
      "Test Set Loss: 6.46\n",
      "Train set accuracy for a single minibatch: 89.84%\n",
      "Test set accuracy for a single minibatch: 98.44%\n",
      "\n",
      "\n",
      "Epoch 0, Iteration 250\n",
      "Train Set Loss: 9.40\n",
      "Test Set Loss: 7.21\n",
      "Train set accuracy for a single minibatch: 92.19%\n",
      "Test set accuracy for a single minibatch: 97.66%\n",
      "\n",
      "\n",
      "Epoch 0, Iteration 300\n",
      "Train Set Loss: 9.53\n",
      "Test Set Loss: 8.44\n",
      "Train set accuracy for a single minibatch: 95.31%\n",
      "Test set accuracy for a single minibatch: 91.41%\n",
      "\n",
      "\n",
      "Epoch 0, Iteration 350\n",
      "Train Set Loss: 9.14\n",
      "Test Set Loss: 6.37\n",
      "Train set accuracy for a single minibatch: 95.31%\n",
      "Test set accuracy for a single minibatch: 96.09%\n",
      "\n",
      "\n",
      "Epoch 0, Iteration 400\n",
      "Train Set Loss: 12.30\n",
      "Test Set Loss: 8.90\n",
      "Train set accuracy for a single minibatch: 87.50%\n",
      "Test set accuracy for a single minibatch: 92.97%\n",
      "\n",
      "\n",
      "Epoch 0, Iteration 450\n",
      "Train Set Loss: 12.32\n",
      "Test Set Loss: 7.17\n",
      "Train set accuracy for a single minibatch: 93.75%\n",
      "Test set accuracy for a single minibatch: 95.31%\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": 14,
   "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(\"RLeaky: 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": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total correctly classified test set images: 9421/10000\n",
      "Test Set Accuracy: 94.21%\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": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save Ref Network\n",
    "torch.save(net.state_dict(), 'ref_snn_rleaky.pth')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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_rleaky.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": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Base Accuracy: 94.21%\n",
      "Accuracy loss of Output Layer Parameter Corruption(0): 23.44%\n",
      "Accuracy loss of Output Layer Parameter Corruption(1): 28.51%\n",
      "Accuracy loss of Output Layer Parameter Corruption(2): 15.09%\n",
      "Accuracy loss of Output Layer Parameter Corruption(3): 34.93%\n",
      "Accuracy loss of Output Layer Parameter Corruption(4): 23.79%\n",
      "Accuracy loss of Output Layer Parameter Corruption(5): 21.77%\n",
      "Accuracy loss of Output Layer Parameter Corruption(6): 15.55%\n",
      "Accuracy loss of Output Layer Parameter Corruption(7): 15.92%\n",
      "Accuracy loss of Output Layer Parameter Corruption(8): 28.16%\n",
      "Accuracy loss of Output Layer Parameter Corruption(9): 13.82%\n",
      "[23.439999999999998, 28.50999999999999, 15.08999999999999, 34.92999999999999, 23.789999999999992, 21.769999999999996, 15.549999999999997, 15.919999999999987, 28.159999999999997, 13.819999999999993]\n"
     ]
    }
   ],
   "source": [
    "# Output Layer Corruption\n",
    "\n",
    "fc2_acc_loss_rec = []\n",
    "with torch.no_grad():\n",
    "    test_net = Net()\n",
    "    test_net.load_state_dict(torch.load('ref_snn_rleaky.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",
    "    with torch.no_grad():\n",
    "        test_net = Net()\n",
    "        test_net.load_state_dict(torch.load('ref_snn_rleaky.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",
    "    del test_net\n",
    "    torch.cuda.empty_cache()\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": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(31473008640, 32195477504)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "torch.cuda.mem_get_info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Base Accuracy: 94.21%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(0): 0.15%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(1): 0.00%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(2): -0.03%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(3): 0.09%\n",
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      "Accuracy loss of Hidden Layer Parameter Corruption(955): 0.23%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(956): 0.01%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(957): 0.20%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(958): 0.00%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(959): 0.29%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(960): -0.05%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(961): 0.00%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(962): -0.01%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(963): -0.08%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(964): -0.08%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(965): 0.11%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(966): 0.43%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(967): -0.11%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(968): -0.02%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(969): 0.16%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(970): 0.19%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(971): 0.13%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(972): 0.12%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(973): -0.15%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(974): 0.68%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(975): 0.12%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(976): 0.10%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(977): -0.03%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(978): 0.01%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(979): -0.10%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(980): 0.03%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(981): 0.01%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(982): -0.09%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(983): -0.10%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(984): -0.02%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(985): 0.24%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(986): -0.04%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(987): -0.36%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(988): 0.08%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(989): -0.09%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(990): 0.04%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(991): 0.44%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(992): 0.16%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(993): 0.00%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(994): -0.02%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(995): 0.10%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(996): 0.08%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(997): 0.23%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(998): 0.00%\n",
      "Accuracy loss of Hidden Layer Parameter Corruption(999): -0.08%\n"
     ]
    }
   ],
   "source": [
    "# Hidden Layer Corruption\n",
    "\n",
    "fc1_acc_loss_rec = []\n",
    "\n",
    "with torch.no_grad():\n",
    "    test_net = Net()\n",
    "    test_net.load_state_dict(torch.load('ref_snn_rleaky.pth'))\n",
    "    test_net.to(device)\n",
    "\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",
    "    with torch.no_grad():\n",
    "        test_net = Net()\n",
    "        test_net.load_state_dict(torch.load('ref_snn_rleaky.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",
    "    del test_net\n",
    "    torch.cuda.empty_cache()\n",
    "\n",
    "# fc1_acc_loss_rec = torch.stack(fc1_acc_loss_rec, dim = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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rYWFh2LlzJ7Zv344FCxYgMDAQeXl5Dd4AXbhwAaIoom3bttfEcebMGWMMhn0szd0G92bf099va2ysBkFBQde8cXN3d79mb0tzysvLQ3FxMb799ttrYpwxYwaAhr/XJUuWICYmBvb29vD09IS3tzc2b97cYH+Cwfz58/HLL79gzZo1193vMXXqVKSmphr3v+3atQs5OTmYMmVKk7+PO3lONIe/P3+cnZ3h7+9vNh3qdDodPv30U7Rt2xYqlQpeXl7w9vbGiRMnGvzuZDIZJk+ejF9++cX4pnj58uWwt7c37pUC9I/tbdu2XfOYGTx4MIA7ey1YuXIl6urq0LlzZ1y8eBEXL15EYWEhevTo0SB5a8xzvKVfBxrz/Lh06RICAgJuWXLYnM+PvzO87rdv377B9UqlEq1atTLeHh4ejhdeeAHfffcdvLy8MHToUPzf//1fg+9n4sSJ6NOnDx599FH4+vriwQcfxKpVq5gwkdnjniQiiQmCgDVr1uDgwYPYuHEjtm/fjpkzZ+Ljjz/GwYMH4ezs3ORzdujQAceOHUNNTQ1UKtV1jzlx4gTs7OyuefPWlL0Yf6fT6RAdHY1PPvnkurdfvX/pdu7LycnJ+CYLAPr06YMuXbrgtddewxdffGGMwTA35Xrd7pr68xQEwfhJ7dW0Wu11j7/Z9/T325oa6426910vvuZieCPz8MMPY9q0adc9xrA/btmyZZg+fTrGjBmDl156CT4+PsbN/NdrrjB06FBs27YNH374Ifr373/Np/1Dhw6Fr68vli1bhr59+2LZsmXw8/Nr8BhorNt5TtxoJeFGv3tTaYn7e//99/H6669j5syZeOedd+Dh4QGZTIY5c+Zc82Z26tSp+Oijj/DLL7/goYcewooVKzBy5MgGK8s6nQ733HMPXn755even+GDE4OmvBYYEqE+ffpc9/bLly9f8wHOnWqO14GmPj9upTmfH3fi448/xvTp07F+/Xrs2LEDzz77LObPn4+DBw8iKCgIDg4O+O2337Bnzx5s3rwZ27Ztw8qVKzFw4EDs2LHD7LqSEhkwSSIyEz179kTPnj3x3nvvYcWKFZg8eTJ++uknPProo00u+xg5ciQOHDiA1atXNyiBMUhJScHvv/+OwYMH3/LNSWhoKAD9J8OGsjkAqKurQ3JycoMOS61bt0ZiYiIGDRp0R6UqjRUTE4OHH34Y//3vf/GPf/wDISEhaN26NURRRHh4+DVvxK5m6HB28uTJm76pcHd3v245m+GT1DvR2Fiborl/7t7e3nBxcYFWq73lm681a9agVatWWLt2bYM4rlc2BOgf808++SRGjhyJBx54AOvWrYNC8defJblcjkmTJmHx4sX44IMP8Msvv1xTDtpYt/OccHd3B6Dv0nZ1Kdb1fve3+rlfuHABAwYMMP67vLwcWVlZGD58uPE6d3f3azqH1dbWIisrq0n3dTvWrFmDAQMGYOHChQ2uLy4uhpeXV4PrOnbsiM6dO2P58uUICgpCamrqNTOmWrdujfLy8mZ/w56cnIz9+/dj9uzZ6NevX4PbdDodpkyZghUrVuBf//pXg+d4mzZtrnu+lnwdaOzzo3Xr1ti+fTsKCwtvuprUnM+PvzO87p87d65BwllbW4vk5ORrflbR0dGIjo7Gv/71L+zfvx99+vTBN998g3fffReAfgVy0KBBGDRoED755BO8//77+Oc//4k9e/a0eFJH1FgstyOSWFFR0TWfUBq6HBlK7hwdHQHgmjdQN/LEE0/Ax8cHL7300jV/2KurqzFjxgyIoog33njjlufq2rUrvL298c0336C2ttZ4/eLFi6+JZ8KECcjIyMD//ve/a85TVVVl7JbXnF5++WXU1dUZV6/GjRsHuVyOefPmXfNzFUURBQUFAIAuXbogPDwcn3322TXfx9Vf17p1a5w9exZ5eXnG6xITE5ulM1NjY20Kw16Exj5WbkUul2P8+PH4+eefcfLkyWtuv/rnYnhzdvX3cujQIRw4cOCG5x88eDB++uknbNu2DVOmTLlm1WLKlCkoKirCE088gfLy8msSnMa2AL+d54ThDfTV+2cqKiqwZMmSa87v5OR005/5t99+22DP4ddffw2NRoNhw4Y1uL+/79X59ttvr1mtaO7fMaD/3f39Mbh69WpkZGRc9/gpU6Zgx44d+Oyzz+Dp6dng+wD0rwUHDhzA9u3br/na4uJiaDSa24rTsIr08ssv4/77729wmTBhAvr162c8ZsiQIXBxccH8+fNRXV3d4DyG77UlXwca+/wYP348RFHEvHnzrjnH339Ht3p+3K7BgwdDqVTiiy++aHCfCxcuRElJCUaMGAFAv3/v77/L6OhoyGQy49+vwsLCa87/979xROaIK0lEJvTVV1+huLgYmZmZAPRtiNPT0wEAzzzzDFxdXbFkyRIsWLAAY8eORevWrVFWVob//e9/UKvVxk+ZHRwcEBkZiZUrV6Jdu3bw8PBAx44db1hH7+npiTVr1mDEiBHo0qULHn30UURGRiI7OxuLFy/GxYsX8fnnnzeqNbSdnR3effddPPHEExg4cCAmTpyI5ORkLFq06JqSlilTpmDVqlV48sknsWfPHvTp0wdarRZnz57FqlWrsH37dnTt2vVOfqTXiIyMxPDhw/Hdd9/h9ddfR+vWrfHuu+9i7ty5SElJwZgxY+Di4oLk5GSsW7cOjz/+OP7xj39AJpPh66+/xn333YfY2FjMmDED/v7+OHv2LE6dOmV8czdz5kx88sknGDp0KB555BHk5ubim2++QVRU1B1v8G9srE09p5ubG7755hu4uLjAyckJPXr0uOWej++///66c6qee+45/Pvf/8aePXvQo0cPPPbYY4iMjERhYSGOHj2KXbt2Gd8EjRw5EmvXrsXYsWMxYsQIJCcn45tvvkFkZCTKy8tveN9jxozBokWLMHXqVKjVavz3v/813ta5c2d07NjR2BSkS5cuDb62sS3Ab+c5MWTIEISEhOCRRx7BSy+9BLlcju+//x7e3t5ITU1tcP64uDh8/fXXePfdd9GmTRv4+Pg0WHmtra3FoEGDMGHCBJw7dw4LFizAXXfdhVGjRhmPefTRR/Hkk09i/PjxuOeee5CYmIjt27dfs5ITGxsLuVyODz74ACUlJVCpVBg4cCB8fHxu+jP45JNPjB+4GMhkMrz22msYOXIk3n77bcyYMQO9e/dGUlISli9ffsOytUmTJuHll1/GunXr8NRTTzVoSgEAL730EjZs2ICRI0di+vTpiIuLQ0VFBZKSkrBmzRqkpKRc8301xvLlyxEbG3tN6a7BqFGj8Mwzz+Do0aPo0qULPv30Uzz66KPo1q2bcUZZYmIiKisrsWTJkhZ9HWjs82PAgAGYMmUKvvjiC1y4cAH33nsvdDodfv/9dwwYMACzZ882Hnur58fN5OXlGVd6rhYeHo7Jkydj7ty5mDdvHu69916MGjXK+Ljt1q2bMRnbvXs3Zs+ejQceeADt2rWDRqPB0qVLjR+uAMDbb7+N3377DSNGjEBoaChyc3OxYMECBAUFNZgXR2R2WqiLHpFNCg0NFQFc92JoH3z06FHxoYceEkNCQkSVSiX6+PiII0eOFI8cOdLgXPv37xfj4uJEpVLZ6HbgycnJ4mOPPSaGhISIdnZ2opeXlzhq1KhrWnSL4q1bQS9YsEAMDw8XVSqV2LVrV/G33367blvc2tpa8YMPPhCjoqJElUoluru7i3FxceK8efPEkpIS43EAxFmzZt3yezC4WcvavXv3XvMz+fnnn8W77rpLdHJyEp2cnMSIiAhx1qxZ4rlz5xp87R9//CHec889oouLi+jk5CTGxMSIX375ZYNjli1bJrZq1UpUKpVibGysuH379hu2/v3oo4+uie9WLZgbE+uNvv+/xyGKorh+/XoxMjJSVCgUt2wHbvi93+iSlpYmiqIo5uTkiLNmzRKDg4NFOzs70c/PTxw0aJD47bffGs+l0+nE999/XwwNDRVVKpXYuXNncdOmTY3+WS1YsEAEIP7jH/9ocL2hXfb7779/TfyNbQF+9X039jkhiqKYkJAg9ujRQ1QqlWJISIj4ySefXLcFeHZ2tjhixAjRxcWlQWt8w7H79u0TH3/8cdHd3V10dnYWJ0+eLBYUFDS4L61WK77yyiuil5eX6OjoKA4dOlS8ePHiNS3ARVEU//e//4mtWrUS5XL5LduBGx5/17vI5XJRFPUtwF988UXR399fdHBwEPv06SMeOHDghq2vRVEUhw8fLgIQ9+/ff93by8rKxLlz54pt2rQRlUql6OXlJfbu3Vv8z3/+Y2yHfrPnzd8lJCSIAMTXX3/9hsekpKSIAMTnn3/eeN2GDRvE3r17iw4ODqJarRa7d+8u/vjjjw2+riVeBxr7/BBFfbvwjz76SIyIiBCVSqXo7e0tDhs2TExISLjmvDd7ftyIYaTA9S6DBg0yHvfVV1+JERERop2dnejr6ys+9dRTDVqlX758WZw5c6bYunVr0d7eXvTw8BAHDBgg7tq1y3jMr7/+Ko4ePVoMCAgQlUqlGBAQID700EPXtIcnMjeCKJpwxy8REdEd+vzzz/H8888jJSUFISEhUofTJIsXL8aMGTMQHx/f7KuoUhs7diySkpJw8eJFqUOxaZb8/CAyZ9yTREREZksURSxcuBD9+vXjG0AzkpWVhc2bNzdLu2m6fXx+EJkO9yQREZHZqaiowIYNG7Bnzx4kJSVh/fr1UodE0HeX+/PPP/Hdd9/Bzs4OTzzxhNQh2SQ+P4hMj0kSERGZnby8PEyaNAlubm547bXXGjQ4IOns27cPM2bMQEhICJYsWQI/Pz+pQ7JJfH4QmR73JBEREREREV2Fe5KIiIiIiIiuwiSJiIiIiIjoKla/J0mn0yEzMxMuLi4QBEHqcIiIiIiISCKiKKKsrAwBAQGQyW68XmT1SVJmZuYNJ3MTEREREZHtSUtLQ1BQ0A1vt/okycXFBYD+B6FWqyWOhoiIiIiIpFJaWorg4GBjjnAjVp8kGUrs1Go1kyQiIiIiIrrlNhw2biAiIiIiIroKkyQiIiIiIqKrMEkiIiIiIiK6CpMkIiIiIiKiqzBJIiIiIiIiugqTJCIiIiIioqswSSIiIiIiIroKkyQiIiIiIqKrMEkiIiIiIiK6iqRJ0tdff42YmBio1Wqo1Wr06tULW7duNd7ev39/CILQ4PLkk09KGDEREREREVk7hZR3HhQUhH//+99o27YtRFHEkiVLMHr0aBw7dgxRUVEAgMceewxvv/228WscHR2lCpeIiIiIiGyApEnSfffd1+Df7733Hr7++mscPHjQmCQ5OjrCz89PivCIiIiIiMgGmc2eJK1Wi59++gkVFRXo1auX8frly5fDy8sLHTt2xNy5c1FZWXnT89TU1KC0tLTBhYiIiIiIqLEkXUkCgKSkJPTq1QvV1dVwdnbGunXrEBkZCQCYNGkSQkNDERAQgBMnTuCVV17BuXPnsHbt2hueb/78+Zg3b15LhU9EVkYURbyz6Qzs5AJeHRYBQRCkDomIiIhamCCKoihlALW1tUhNTUVJSQnWrFmD7777Dvv27TMmSlfbvXs3Bg0ahIsXL6J169bXPV9NTQ1qamqM/y4tLUVwcDBKSkqgVqtN9n0QkXW4kFOGez79DQDw81O9EBfqIXFERERE1FxKS0vh6up6y9xA8nI7pVKJNm3aIC4uDvPnz0enTp3w+eefX/fYHj16AAAuXrx4w/OpVCpjtzzDhYiosQ6nFBr/f8n+KxJGQkRERFKRPEn6O51O12Al6GrHjx8HAPj7+7dgRERkS46kFBn/f0tSFnJLqyWMhoiIiKQg6Z6kuXPnYtiwYQgJCUFZWRlWrFiBvXv3Yvv27bh06RJWrFiB4cOHw9PTEydOnMDzzz+Pvn37IiYmRsqwiciKHU7WrySp7RUordZgxeFUzBncTuKoiIiIqCVJupKUm5uLqVOnon379hg0aBDi4+Oxfft23HPPPVAqldi1axeGDBmCiIgIvPjiixg/fjw2btwoZchEZMUyi6uQUVwFuUzAa8M7AACWH0pFrUYncWRERETUkiRdSVq4cOENbwsODsa+fftaMBoisnXx9fuRogLUGNclCJ/sPI/cshpsO5WNUZ0CJI6OiIiIWorZ7UkiIpKKodSuW5gHlAoZJvUIAQAs2Z8iYVRERETU0pgkERHVM6wkdQvTt/2e1CMEdnIBCVeKcDKjRMrQiIiIqAUxSSIiAlBUUYvzOeUAgG5h7gAAHxd7DOuo76bJ1SQiIiLbwSSJiAjAkSv61t+tvJ3g6awyXj+tdxgAYH1iJooqaqUIjYiIiFoYkyQiIvxVate9vtTOoEuIGzoGqlGr0eGn+DQpQiMiIqIWxiSJiAgNmzZcTRAETOsVBgBYdvAKtDqxpUMjIiKiFsYkiYhsXmWtxtiYoXu4xzW339cpAO6OdsgorsKuMzktHR4RERG1MCZJRGTzjqcWQ6MT4ae2R5C7wzW329vJ8WB3tgMnIiKyFUySiMjmHTa0/g73gCAI1z1mco8QyARg/6UCXMgpa8nwiIiIqIUxSSIim3ckRd/Zrnt96+/rCXJ3xD2RvgCAJQdSWiIsIiIikgiTJCKyaRqtDkdT9UlSt+vsR7qaoYHD2qMZKK2uM3VoREREJBEmSURk005llqKyVgtXBzu083G56bG9WnuirY8zKmu1WHMkvYUiJCIiopbGJImIbJphPlLXUHfIZNffj2QgCAKm1g+XXXrwCnRsB05ERGSVmCQRkU0zzke6RamdwbjOgXBRKZCcX4HfLuSZMjQiIiKSCJMkIrJZoijiyJX6/UhhjUuSnFQK3N81CADww4ErJouNiIiIpMMkiYhs1qW8chRW1EKlkCE60LXRXze1voHDnnO5uFJQYaLoiIiISCpMkojIZh1O1q8ixQa7Qalo/MthuJcT+rXzhigCS7maREREZHWYJBGRzTI0bejeyP1IV5te38Bh1ZE0VNZqmjMsIiIikhiTJCKyWcamDY3cj3S1fu28EerpiNJqDX45ltncoREREZGEmCQRkU3KLK5CRnEVZALQJdS9yV8vkwmY0jMUALBkfwpEke3AiYiIrAWTJCKySYZSu6gAVzirFLd1jge6BsPBTo5zOWU4VL8qRURERJaPSRIR2aQ7KbUzcHWww9gugQD0q0lERERkHZgkEZFNOpKi72zXPbzppXZXm9pLX3K343QOMour7jguIiIikh6TJCKyOcWVtTiXUwYA6HoHK0kAEOGnRs9WHtDqRCw/xHbgRERE1oBJEhHZHMMqUitvJ3g5q+74fNPqh8v+eDgN1XXaOz4fERERSYtJEhHZHON8pDtcRTK4J9IX/q72KKyoxeYTWc1yTiIiIpIOkyQisjmHU+68acPVFHIZHq5vB/7DgZRmOScRERFJh0kSEdmUqlotktJLAADdw5snSQKAB7sFQymXITG9BMdSi5rtvERERNTymCQRkU05llYEjU6En9oeQe4OzXZeT2cVRnbyBwD8cIANHIiIiCwZkyQisinxyfpVnq5h7hAEoVnPPb13GABg04lM5JXVNOu5iYiIqOUwSSIim2Js2tCMpXYGMUFuiA12Q51WxE+HU5v9/ERERNQymCQRkc3QaHU4Wr9fqLmaNvydYTVp2aErqNPqTHIfREREZFpMkojIZpzKLEVlrRZqewXa+7qY5D6GRfvBy1mJnNIa7DiVY5L7ICIiItNikkRENsNQatc1zAMyWfPuRzJQKeSY1D0EALBkf4pJ7oOIiIhMi0kSEdmMw8nNOx/pRib1CIVCJuBwSiFOZ5aa9L6IiIio+TFJIiKbIIoijlzR70fqHu5u0vvyc7XH0I5+ADhcloiIyBIxSSIim3AprwKFFbVQKWSIDnQz+f1N6xUGAPjleAaKK2tNfn9ERETUfJgkEZFNMOxHig12g1Jh+pe+bmHu6OCvRnWdDquOpJn8/oiIiKj5MEkiIpsQn2y6+UjXIwgCpvUKBQAsPXgFWp3YIvdLREREd45JEhHZhMMpLdO04WqjYwPh6mCHtMIq7Dmb22L3S0RERHeGSRIRWb2skiqkF1VBJgBdQk3btOFqDko5JnYLBgAsYQMHIiIii8EkiYisnqH1d1SAK5xViha97yk9QyEIwO8X8nEpr7xF75uIiIhuD5MkIrJ6fw2RbblVJINgD0cMivABACw9cKXF75+IiIiajkkSEVm9+OT6+UgtuB/patN6hwEA1iSko7xGI0kMRERE1HhMkojIqhVX1uJcThkAoKtESVKf1l5o5e2E8hoN1h5NlyQGIiIiajwmSURk1Y6k6FeRWnk5wdtFJUkMMplgHC67ZH8KRJHtwImIiMwZkyQismrxErT+vp5xXQLhpJTjUl4F/rxYIGksREREdHNMkojIqhmTpBYaInsjLvZ2uD8uCACweH+KpLEQERHRzTFJIiKrVV2nRVJGCQDpmjZcbUp9yd2vZ3OQVlgpbTBERER0Q0ySiMhqHUstRp1WhK9ahWAPB6nDQRsfZ9zd1guiCCw7yHbgRERE5opJEhFZrav3IwmCIHE0elPrV5N+ik9DVa1W2mCIiIjoupgkEZHVMiRJ3SXej3S1gRE+CHJ3QElVHTYkZkgdDhEREV0HkyQiskoarQ5Hr+jbf0vd2e5qcpmAKT1DAQBL9l9hO3AiIiIzxCSJiKzS6axSVNRqobZXoL2vi9ThNDCxWzBUChlOZ5XiSH0iR0REROaDSRIRWaXDyfpSu65hHpDJzGM/koGboxJjYgMB6IfLEhERkXlhkkREVsmwH6lrmLvEkVzf1N76krttJ7ORU1otcTRERER0NSZJRGR1RFHEkRR9GZs5zEe6nqgAV3QLc4dGJ2L5oVSpwyEiIqKrMEkiIqtzKa8CBRW1UCpkiA5ylTqcG5rWOwwAsOJQKmo1OmmDISIiIiMmSURkdQyldrHBblAp5BJHc2NDo/zgq1Yhv7wGW09mSR0OERER1WOSRERWJ76+aYO5ltoZ2MllmNxDvzdpMRs4EBERmQ0mSURkdeKv6JOkbmY0RPZGHuweDDu5gGOpxTiRXix1OERERAQmSURkZbJLqpFWWAWZAHQJcZM6nFvycbHHiGh/APrhskRERCQ9JklEZFUO1+9HigxQw8XeTuJoGmdqfQOHjScyUVBeI20wRERExCSJiKyLYT9SNzPfj3S1zsFuiAlyRa1Gh5/i06QOh4iIyOYxSSIiq2LobGfuTRuuJggCpvYKAwAsP3gFGi3bgRMREUmJSRIRWY2SyjqcyykDAHS1oCQJAEbG+MPDSYnMkmrsOpMjdThEREQ2jUkSEVmNI1cKIYpAKy8neLuopA6nSezt5HiwWzAANnAgIiKSGpMkIrIahqYNlrQf6WoP9wyFTAAOXC7AuewyqcMhIiKyWUySiMhqGJo2dA1zlziS2xPg5oAhkX4AgB8OpEgbDBERkQ1jkkREVqG6ToukjBIAQHcLGCJ7I9Pq24GvPZqBkqo6aYMhIiKyUUySiMgqHEstRp1WhI+LCiEejlKHc9t6tvJAe18XVNVpsSYhXepwiIiIbBKTJCKyCobW393CPSAIgsTR3D5BEDC1dygAYOmBFOh0osQRERER2R5Jk6Svv/4aMTExUKvVUKvV6NWrF7Zu3Wq8vbq6GrNmzYKnpyecnZ0xfvx45OSwNS4RXcsS5yPdyJjYQLjYK5BSUIl9F/KkDoeIiMjmSJokBQUF4d///jcSEhJw5MgRDBw4EKNHj8apU6cAAM8//zw2btyI1atXY9++fcjMzMS4ceOkDJmIzJBGq8PRK0UALLez3dWcVApM6GpoB54ibTBEREQ2SBBF0axqOTw8PPDRRx/h/vvvh7e3N1asWIH7778fAHD27Fl06NABBw4cQM+ePRt1vtLSUri6uqKkpARqtdqUoRORRJLSS3DfV3/AxV6B428MgVxmueV2Bin5FRjw8V6IIrD3H/0R5uUkdUhEREQWr7G5gdnsSdJqtfjpp59QUVGBXr16ISEhAXV1dRg8eLDxmIiICISEhODAgQM3PE9NTQ1KS0sbXIjIuhnmI3UNdbeKBAkAwryc0L+dNwDghwMcLktERNSSJE+SkpKS4OzsDJVKhSeffBLr1q1DZGQksrOzoVQq4ebm1uB4X19fZGdn3/B88+fPh6urq/ESHBxs4u+AiKRmmI/UzYJbf1/P1Pp24KsT0lBRo5E2GCIiIhsieZLUvn17HD9+HIcOHcJTTz2FadOm4fTp07d9vrlz56KkpMR4SUtLa8ZoicjciKJoVU0brtavrTfCPB1RVq3BumMZUodDRERkMyRPkpRKJdq0aYO4uDjMnz8fnTp1wueffw4/Pz/U1taiuLi4wfE5OTnw8/O74flUKpWxW57hQkTW63J+BQoqaqFUyBAd5Cp1OM1KJhMwpVcYAOCHAykwsy2kREREVkvyJOnvdDodampqEBcXBzs7O/z666/G286dO4fU1FT06tVLwgiJyJwYSu1ig92gUsgljqb53R8XBEelHOdzynHgcoHU4RAREdkEhZR3PnfuXAwbNgwhISEoKyvDihUrsHfvXmzfvh2urq545JFH8MILL8DDwwNqtRrPPPMMevXq1ejOdkRk/Q5baamdgauDHcZ2DsTyQ6n4Yf8V9G7tJXVIREREVk/SJCk3NxdTp05FVlYWXF1dERMTg+3bt+Oee+4BAHz66aeQyWQYP348ampqMHToUCxYsEDKkInIzBj2I3UNc5c4EtOZ1jsMyw+lYsfpbGQUVyHQzUHqkIiIiKya2c1Jam6ck0RkvbJLqtFz/q+QCUDim0PgYm8ndUgm89C3B3HgcgGe7t8aL98bIXU4REREFsni5iQRETWVodSug7/aqhMkQL+aBAA/xaehuk4rbTBERERWjkkSEVks43wkK92PdLXBHXwQ4GqPwopabDqRJXU4REREVo1JEhFZLON8JCsbIns9CrkMD/cKBQAs2c924ERERKbEJImILFJJZR3O5ZQBsI2VJAB4sFsIlAoZkjJKcCytWOpwiIiIrBaTJCKySAmphRBFINzLCd4uKqnDaREeTkqM6hQAQL+aRERERKbBJImILNLh5CIAQDcrbv19PdN6hQEAtiRlIbesWtpgiIiIrBSTJCKySIb9SLZSamcQHeSKLiFuqNOK+PFQmtThEBERWSUmSURkcarrtDiRXgzANpo2/J2hHfjyQ1dQp9VJGwwREZEVYpJERBbneFox6rQifFxUCPFwlDqcFjesoz+8nFXILavBtpPZUodDRERkdZgkEZHFMc5HCveAIAgSR9PylAoZJvUIAcAGDkRERKbAJImILM5hw3wkG9uPdLXJPUKgkAk4cqUIJzNKpA6HiIjIqjBJIiKLotHqcPSKvrNdVxvrbHc1X7U97u3oBwD44UCKtMEQERFZGSZJRGRRzmSVoaJWCxeVAhF+aqnDkdT0+gYO649noqiiVtpgiIiIrAiTJCKyKIZSu7gwd8hltrcf6Wpxoe6I9FejRqPDyiNsB05ERNRcmCQRkUUxNm2w4f1IBoIgGFeTlh64Aq1OlDYgIiIiK8EkiYgshiiKxiGytjgf6XpGxQbAzdEOGcVV+PVMjtThEBERWQUmSWT2yms02H02h5+SE5LzK1BQUQulQoaYIFepwzEL9nZyTOwWDAD44cAViaMhIiKyDkySyKyVVtdh4n8PYObiI5wHQ8ZVpNggN6gUcomjMR8P9wiFTAD+uJiPi7llUodDRERk8ZgkkdmqrtPi0cVHcCqzFACwJiFd4ohIaoeT9a2/u4Xbbuvv6wn2cMSgDr4AuJpERETUHJgkkVmq0+rw9PKjOJxSCBd7BezkAk5nleJCDj8lt2WGlSQ2bbjWtF5hAICfE9JRVl0nbTBEREQWjkkSmR2dTsSLqxKx+2wu7O1k+H56N/Rr5w0A2JCYKXF0JJWc0mqkFlZCJuhbX1NDfdp4orW3EypqtfiZq65ERER3hEkSmRVRFPHGhpPYkJgJhUzA1w/HoVuYB0bFBgLQD80URTZwsEWH61t/d/BXw8XeTuJozI8gCJhW3w78hwNXoGOjEyIiotvGJInMysc7zmPZwVQIAvDpxFgMaO8DABjcwQeOSjlSCytxPK1Y2iBJEiy1u7VxXYLgrFLgcn4F/riYL3U4RERWJa2wEv+35yKqarVSh0ItgEkSmY3//XYZX+25CAB4b0w07usUYLzNUanAkEj9xvT1x1lyZ4sMK0mcj3RjzioF7o8LAgB2gyQiamavrj2Bj7afw39/uyR1KNQCmCSRWVgZn4r3tpwBALxybwQm9Qi55pjR9SV3m05kQaPVtWh8JK2Sqjqcq2/a0TWM+5FuZkqvUADA7nO5SC2olDgaIiLrkFpQiT8vFgAAtiRlSRwNtQQmSSS5rUlZmLs2CQDwRL9WeKp/6+sed1dbL7g72iG/vAYHLhe0ZIgksYQrhRBFIMzTET4u9lKHY9Zaezvj7rZeEEVg6cEUqcMhIrIKaxLSjP9/PqecM+lsAJMkktTvF/Lw3E/HoROBh7oH49V7I254rJ1chhEx/gBYcmdrjPORuB+pUabXN3BYGZ/G2nkiojuk1YlYXd81VG2vAABsScqWMiRqAUySSDIJV4rw+A8JqNXqMCLaH++OiYYgCDf9GkPJ3baT2aiu45s/W2Fs2sD9SI3Sv70Pgj0cUFqtwS/HM6QOh4jIov1+IQ9ZJdVwc7TDy/Uf5rLkzvrdUZKUlpaGtLS0Wx9I9Ddns0sxY9FhVNVp0bedNz6dGAu57OYJEgDEhbgj0M0B5TUa7D6b2wKRktSq67Q4kV4MAOjOlaRGkcsETO0ZBkDfwIFt84mIbt+qI/r3umNiAzEyxh8KmYCz2WW4nFcucWRkSk1OkjQaDV5//XW4uroiLCwMYWFhcHV1xb/+9S/U1XHKO93alYIKTFl4GKXVGsSFuuObh7tAqWjcQ1EmE4xd79bzE3KbkJhWjDqtCG8XFUI9HaUOx2I80DUI9nYynM0uM3YGJCKipikor8HO0zkAgAldg+HmqETvNl4AgK0nWXJnzZqcJD3zzDP49ttv8eGHH+LYsWM4duwYPvzwQyxcuBDPPvusKWIkK5JTWo2HFx5CXlkNIvxc8P20bnBUKpp0jtGx+iRpz9k8lFQxMbd2hlK77mEetyzHpL+4OSoxtrO+PPWHA1ckjoaIyDL9cjwTdVoR0YGuiAxQAwCGd/QDwJI7a9fkJGnFihVYvHgxnnjiCcTExCAmJgZPPPEEFi5ciBUrVpgiRrISRRW1mLLwENIKqxDm6YgfHukOV0e7Jp8nws8F7XydUavVYTs/xbF6h1MMTRvY+ruppvYKAwBsO5WNrJIqaYMhIrIwoihiVby+1G5Ct2Dj9UOi/CCXCTiVWYorBRVShUcm1uQkSaVSISws7Jrrw8PDoVQqmyMmskIVNRpMXxyP8znl8FWrsPSRHrfdylkQBGMDh/WJLLmzZlqdiKNX6pMkNm1osg7+anQP94BWJ2LFoVSpwyEisiiJ6SU4l1MGlUKGUVcNuPdwUqJXK08A7HJnzZqcJM2ePRvvvPMOampqjNfV1NTgvffew+zZs5s1OLIO1XVaPL70CBLTiuHuaIdlj/RAsMed7S0xvFjtv1SA3NLq5giTzNCZrFKU12jgolIgwk8tdTgWaVr9atKPh1NRo2FHSCKixlpZv4o0rKMfXB0aVr4Mi9aX3G09yZI7a9XkJOnYsWPYtGkTgoKCMHjwYAwePBhBQUHYuHEjEhMTMW7cOOOFSKPV4dkfj+HPiwVwUsqxeEZ3tPV1uePzBns4Ii7UHaIIbDzBFyhrZWg4EBfm3qjuh3StIVG+8FPbI7+8lvXzRESNVFWrxcZE/UzGq0vtDIZG+UEmACfSS5BWWNnS4VELaHKS5ObmhvHjx2PkyJEIDg5GcHAwRo4ciXHjxsHV1bXBhWybTifi1bVJ2HE6B0qFDP+b1hWdgt2a7fyGBg4b2OXOahnnI7H1922zk8swuUcIAGDxfjZwICJqjC1JWSiv0SDEwxE9wz2vud3LWYUe9ddv4/5oq9S0tmIAFi1aZIo4yMqIooj3tpzBmoR0yGUCvnqoM3q39mrW+xge7Y95G08jMb0EyfkVCPdyatbzk7REUfyrsx33I92Rh3qE4MvdF5GYVozjacWIbcYPK4iIrNHK+tlID8QFQXaDSobh0X44cLkAm5Oy8FjfVi0ZHrWA2x4mm5eXhz/++AN//PEH8vLymjMmsgJf7b6IhX8kAwA+HB+DIVF+zX4fXs4q3FU/q2DD8cxmPz9JKzm/AvnltVDKZYgO5Mr0nfByVmFEjD8A4If9KdIGQ0Rk5pLzK3A4uRAyAbi/a9ANjxva0Q+CABxPK0ZGMTuIWpsmJ0kVFRWYOXMm/P390bdvX/Tt2xcBAQF45JFHUFnJmkwCluxPwcc7zwMA3rwvEuPjbvwCc6cMJXfrEzMgiqLJ7odanmEVqVOwK+zt5BJHY/mm9Q4DAGw6kYX88pqbH0xEZMNW168i9W3nDX9Xhxse5+NibywHZ8md9WlykvTCCy9g37592LhxI4qLi1FcXIz169dj3759ePHFF00RI1mQX45l4M0NpwAAcwa3xYw+4Sa9vyFRflApZLicV4FTmaUmvS9qWYeTDfORWGrXHGKD3dApyBW1Wh1+Osx24ERE16PR6rAmIR0AMLHrtQ0b/o6DZa1Xk5Okn3/+GQsXLsSwYcOgVquhVqsxfPhw/O9//8OaNWtMESNZiF2nc/Di6kQAwPTeYXhuUFuT36ezSoHBkb4AgPVs4GBVjE0buB+p2RhWk5YdTIVGq5M2GCIiM7TvfB5yy2rg4aTEoA6+tzz+3o76UuaEK0XILuFIEmvS5CSpsrISvr7XPmh8fHxYbmfDDlwqwNMrjkKrEzGuSyDeGBkJQWiZls2j62cmbUjMhFbHkjtrkFNajdTCSggCEBfqLnU4VmNEjD88nZTILq3GjtM5UodDRGR2DLORxnYOhFJx67fJfq72xr9T2zgzyao0OUnq1asX3nzzTVRX/5UtV1VVYd68eejVq1ezBkeWISm9BI/9cAS1Gh0Gd/DFh+NjbtgJxhT6tfeG2l6BnNIaHEouaLH7JdMxrCJ18FNDbW93i6OpsVQKOR7qrm8HvoQNHIiIGsgrq8Hus7kAgInXmY10I8Oj9atJW7gvyao0OUn67LPP8OeffyIoKAiDBg3CoEGDEBwcjP379+Pzzz83RYxkxi7mlmPaosMor9GgVytPfDWpMxTy226aeFtUCrnxBYpd7qxDfDJbf5vK5J4hkMsEHEouxJks7uMjIjJYdywdGp2I2GA3tGvC4Pt76/clxacUIreUJXfWosnvZqOjo3HhwgXMnz8fsbGxiI2Nxb///W9cuHABUVFRpoiRzFR6USWmLDyEwopadApyxf+mdZWsC9mo+i53W5KyUKPRShIDNZ/DKWzaYCr+rg4YGqUvmf7hAIfLEhEB+tl8hlK7CY1o2HC1QDcHxAa7QRSB7ae4mmQtmjRMtq6uDhEREdi0aRMee+wxU8VEFiCvrAZTFh5GVkk12vg4Y9GM7nBWNXk2cbPpEe4JX7UKOaU12HcuzyRzmahllFTV4Wy2foWjWzj3I5nC1F5h2JKUjV+OZeDVeyPg6siSRiKybUdTi3AprwIOdnLc18m/yV8/Itofx9OKsSUpG1N6hTV/gNTimrSSZGdn12AvEtmmkqo6TPv+MJLzKxDo5oClj3SHh5NS0pjkMgH3xRhmJrHkzpIdvVIEUQTCPB3h42IvdThWqUe4ByL8XFBVp8XqhDSpwyEiktyqeH3b7+HR/nC5jb2whpK7Q8kFnEVnJZpcbjdr1ix88MEH0Gg0poiHzFxVrRaPLonH6axSeDmrsPzRHjcdtNaSxnQOBKBvRV5ew8enpTpsaP3NUjuTEQQBU+s/6fzhwBV2hSQim1ZRo8GmE/oPWJvSsOFqwR6OiAlyhY4ld1ajyUlSfHw81q5di5CQEAwdOhTjxo1rcCHrVavR4anlCYhPKYLaXoEfZnZHmJeT1GEZRQWo0crbCTUaHXbwBcpiGZo2cD6SaY3pHAC1vQKphZXYdz5X6nCIiCSz+UQWKmq1CPdyQrew2y/zHlY/M2lrEt+DWIMmJ0lubm4YP348hg4dioCAALi6uja4kHXS6kS8sOo49p7Lg72dDItmdENkgFrqsBoQBAGjO+lXk9azy51Fqq7T4kR6CQCgO1eSTMpRqTBuTl68nw0ciMh2rTyiLzt+oGvQHc14HB6tL7k7cLkAhRW1zRIbSafJO+0XLVpkijjIjImiiNfXn8SmE1mwkwv475SuiAs1zzewo2ID8Omu8/jjYj7yy2vg5aySOiRqgsS0YtRqdfByViHU01HqcKzelF6hWPhnMn47n4fLeeVo5e0sdUhERC3qYm45Eq4UQS4TcH+XoDs6V6inE6IC1DiVWYodp7LxYP1cOrJMtzXQJj8/H0eOHEFCQgIKCji809p9tP0cVhxKhSAAn06MRb923lKHdEPhXk7oFOQKrU7EliROvrY0hiGy3cPd7+jTPGqcUE8nDGjvA4DtwInINq2uX0Ua0N4bPuo7bxbEwbLWo0lJ0qlTp9C3b1/4+vqiR48e6N69O3x8fDBw4ECcPXvWVDGShP677xIW7L0EAHh/bDRG1neQM2ejYllyZ6k4H6nlTesdBgD4OSGdDU+IyKbUaXX4+ai+q11TZyPdyLD6Lnf7L+ajuJIld5as0UlSdnY2+vXrh7y8PHzyySfYsmULNm/ejI8++ghZWVno27cvcnO5+dea/HQ4FfO36pPfV4dF4CELWTa+L8YfggAkXClCWmGl1OFQI2l1Io5eYZLU0u5u44VwLyeU1Wiwrv7NAhGRLdh9Nhf55bXwclZhQIRPs5yzlbczIvxcoNGJ2HE6p1nOSdJodJL06aefIjQ0FMeOHcNzzz2HoUOH4t5778ULL7yAo0ePIjg4GJ9++qkpY6UWtPlEFuauSwIAPNW/NZ7s11riiBrPR22P3q09AQAbODPJYpzJKkV5jQYuKgU6+JtXUxBrJpMJmNorFACw5MAViCLbgRORbTCU2o3vEgg7+W3tQLkuQ8ndVpb9W7RGPyJ27tyJV155Bfb219ZrOjg44KWXXsL27dubNTiSxr7zeZiz8hhEEXioewheHtpe6pCazNDlbgNL7iyGYT9Sl1B3yGXcj9SSxscFwVEpx8Xccuy/xH2mRGT9ckursedcHgDggWYqtTMwdLn742I+SqrqmvXc1HIanSRdvnwZXbp0ueHtXbt2xeXLl5slKJJOwpVCPLk0AXVaESNj/PHumI4WuYF+aEc/KOUynMspw5msUqnDoUb4q2kDS+1amtreDuPruzot2Z8ibTBERC1gzdF0aHUiuoa6o41P83b2bOPjgna+zqjTitjFkjuL1egkqaysDGr1jUtgXFxcUF5e3ixBkTTOZJVixqJ4VNVp0a+dNz6ZEGuxn+i7OthhQIS+Cx8bOJg/URRxOJn7kaRkKLnbdSYH6UXcy0dE1ksURaw+0rwNG/7OOFj2JEvuLFWTCjDLyspQWlp6wwtr2S1XSn4Fpiw8jNJqDbqGuuObh+OgVDRffa4URtd3uduYmAmdjo9Nc5ZSUIn88hoo5TLEBHEotRTa+rqgTxtP6ERg2cFUqcMhIjKZ+JQiJOdXwEkpx4gYf5Pch2Ff0m/n81FWzZI7S9Tod8GiKKJdu3Zwd3e/7qV9e8vbt0J62SXVeHjhIeSX16CDvxoLp3eDg1IudVh3bGCED5xVCmQUVyEhtUjqcOgm4pP1pXadgl1hb2f5jz1LNbVXGADgp/hUVNdppQ2GiMhEVsbrGzaMjAmAk0phkvto5+uM1t5OqNXqsPssuz9bokY/Mvbs2WPKOEgiRRW1mLLwENKLqhDm6YgfZnaHq4Od1GE1C3s7OYZG+eHno+lYfzyDZVxm7HD9fiT+jqQ1uIMvAt0ckFFchQ2JmSYrQyEikkpZdZ1x2PyEbqZ7jRMEAcOj/fHl7ovYfCLLWN1ClqPRSVK/fv1MGQdJoLxGg+mLDuNCbjn81PZY9mgPeLuopA6rWY3pHICfj6Zj84ksvHlfVLO2+KTmY2ja0I1NGyQllwl4uGcoPth2Fkv2p+CBuCCLbNxCRHQjGxOzUFWnRWtvJ3QJcTPpfQ3rqE+S9p7PQ3mNBs4mWrUi0+A7RhtVXafFY0uOIDG9BO6Odlj2aHcEuTtKHVaz69XKE17OKhRV1uGPC/lSh0PXkVtajSsFlRAEIC7UXepwbN6D3YKhUshwKrMUR1mmSkRWZlX9bKSJ3YJN/iFQB38XhHk6olajwx6W3FkcJkk2SKPV4Zkfj+HA5QI4KeVYMrM72vi4SB2WSSjkMoys35S5/niGxNHQ9RhK7SL81FDbW0eppyVzd1JiVKcAAMDi/VckjoaIqPmczynD8bRiKGQCxtWPPTAlQ8kdAGOJH1kOJkk2RqcT8crPSdh5OgdKhQzfTeuGmCA3qcMyqdGx+jd8O07noLJWI3E09HeGpg3dw7iKZC6m9Q4DoJ8Wn1taLW0wRETNxNCwYVAHH3g5t8z2AkOStOdcLt+DWBgmSTZEFEW8s/k0fj6aDrlMwP9N6oJerT2lDsvkYoPdEOLhiMpaLXad4XK3uTmcUj8fifuRzEbHQFfEhbpDoxOx/BDbgROR5avV6LDumL6ipCWb0kQFqBHs4YDqOh32nstrsfulO9fkJGnRokWorOSgQUv0xa8XsejPFADAfx6IwT2RvtIG1EIEQTCuJm1gyZ1ZKamqw9nsUgBAd3a2MyuG1aQVh1NRq9FJGwwR0R369UwOCitq4eOiQr923i12vyy5s1xNTpJeffVV+Pn54ZFHHsH+/ftNEROZwKI/k/HprvMAgLfui8TYzqavxTUnhiRp77k8FFXUShwNGRy9UgRRBEI9HeGjtpc6HLrKvVF+8HZRIa+shhPjicjiraxv2HB/XBAULdzpdnhHfZK0+2wuZ9BZkCY/SjIyMrBkyRLk5+ejf//+iIiIwAcffIDs7GxTxEfNYO3RdMzbeBoA8PzgdpjeJ1ziiFpeGx8XRPqrodGJ2HqSj1VzEc/5SGZLqZBhco8QAMAPB9jAgYgsV1ZJFX47ry91k2L+W0yQKwLdHFBZq2XJnQVpcpKkUCgwduxYrF+/HmlpaXjsscewfPlyhISEYNSoUVi/fj10OpZmmIudp3Pw0poTAIAZfcLw7KA2EkckHcNq0i8suTMbhiSJpXbmaVL3EChkAhKuFOFkRonU4RAR3ZY1R9KhE4Hu4R4I83Jq8fsXBAHDOvoBAFfmLcgdrTf6+vrirrvuQq9evSCTyZCUlIRp06ahdevW2Lt3bzOFSLdr/6V8zFpxFFqdiPFdgvD6iEibHgx5X31b48PJhcgsrpI4Gqqu0yIxTf/Gm00bzJOP2t5YS79kf4q0wRAR3QadTsTqhHQAwEQJVpEMhtePI/n1DEvuLMVtJUk5OTn4z3/+g6ioKPTv3x+lpaXYtGkTkpOTkZGRgQkTJmDatGnNHSs1wYn0Yjy25AhqNToMifTFB+OjIZPZboIEAAFuDuhe/2Z8Y2KmxNHQifQS1Gp18HJWIczT+gYZW4tpvUMBAOsTM1HI/XxEZGEOJhcgtbASLiqF8UMfKcQGucHf1R7lNRr8zuH2FqHJSdJ9992H4OBgLF68GI899hgyMjLw448/YvDgwQAAJycnvPjii0hLS7vluebPn49u3brBxcUFPj4+GDNmDM6dO9fgmP79+0MQhAaXJ598sqlh25QLOWWY9v1hVNRq0bu1J754qHOLb1I0V4aSu/XHmSRJzVhqF+5u0yuc5q5LiDs6BqpRq9EZZ4wQEVmKVfWvW/fFBsBBKZcsDplMwL2Gkjt2ubMITX7n7OPjg3379uHkyZOYM2cOPDyuLZPx9vZGcnLyLc+1b98+zJo1CwcPHsTOnTtRV1eHIUOGoKKiosFxjz32GLKysoyXDz/8sKlh24y0wkpMWXgYRZV16BTkim+ndoW9nXQvCuZmeEd/KGQCTmeV4kJOmdTh2LTDyWzaYAkEQcDUXmEAgGUHr0Cj5Z5TIrIMJVV1xmZNUjRs+LsR9StZO8/koEbDkjtz1+QkaeHChejVq9dNjxEEAaGhobc817Zt2zB9+nRERUWhU6dOWLx4MVJTU5GQkNDgOEdHR/j5+RkvarW6qWHbhLyyGkxZeAjZpdVo6+OMxTO6w1mlkDoss+LupDTOR9jAkjvJaHUijl6pHyLLJMnsjeoUAHdHO2QUV+HXsxzITESWYUNiJmo0OrT3dUGnIFepw0GXEHf4uKhQVq3BnxdZcmfumpwkPfvss/jiiy+uuf6rr77CnDlz7iiYkhL9Ju6/r04tX74cXl5e6NixI+bOnXvTYbY1NTUoLS1tcLEFJVV1mPr9YaQUVCLI3QFLH+kBdyel1GGZpdGdAwHoS+5EUZQ4Gtt0JqsUZTUaOKsU6ODPDz3Mnb2dHBO76duBs4EDEVkKQ6ndhG7BZlHWLZP91eVuSxLHkZi7JidJP//8M/r06XPN9b1798aaNWtuOxCdToc5c+agT58+6Nixo/H6SZMmYdmyZdizZw/mzp2LpUuX4uGHH77heebPnw9XV1fjJThY+uVVU6us1WDm4nicySqFl7MKyx7pAT9XDua8kcEdfOColCO1sBLH04qlDscmGfYjdQl1h9zGG4pYiod7hkAmAPsvFbBUlYjM3unMUiRllMBOLmBs/Yej5mBYfcndjlPZqNWwfNmcNTlJKigogKvrtUuWarUa+fm3v3Q4a9YsnDx5Ej/99FOD6x9//HEMHToU0dHRmDx5Mn744QesW7cOly5duu555s6di5KSEuOlMQ0kLFmtRoenlh1FwpUiqO0VWPpId0lmAFgSR6UCQyJ9AbCBg1T+mo/kLnEk1FhB7o4Y3EH/vFlyIEXaYIiIbmHVEf37v3sifeFhRpU13cI84OWsQmm1BvsvseTOnDU5SWrTpg22bdt2zfVbt25Fq1atbiuI2bNnY9OmTdizZw+CgoJuemyPHj0AABcvXrzu7SqVCmq1usHFWml1Ip5fdRz7zufBwU6ORTO6sXSpkUbH6j9V2nQiixvRW5goijiczP1Ilmh67zAAwNqjGSitrpM2GCKiG6iu02LdMf3geHNo2HA1uUzAvR31HzhtZcmdWWvyrv4XXngBs2fPRl5eHgYOHAgA+PXXX/Hxxx/js88+a9K5RFHEM888g3Xr1mHv3r0IDw+/5dccP34cAODvL12ve3MgiiL+9UsSNp/Igp1cwDdT4hAXyjecjXVXWy+4O9ohv7wGBy4X4O623lKHZDNSCiqRX14DpVyGTsFuUodDTdCrtSfa+jjjQm451hxJx8y7bv2aTUTU0naezkFJVR0CXO3N8u/78I7+WHYwFdtPZ+NdbUfYcUyLWWryb2XmzJn4+OOPsXDhQgwYMAADBgzAsmXL8PXXX+Oxxx5r0rlmzZqFZcuWYcWKFXBxcUF2djays7NRVVUFALh06RLeeecdJCQkICUlBRs2bMDUqVPRt29fxMTENDV0q/LBtnP48XAaZALw+YOdjR3bqHHs5DKMqJ9+zZK7lmUotYsJcmV7egsjCAKm1q8mLT14BTodG58QkfkxlNrdHxdklvteu4d7wNNJieLKOhy6XCh1OHQDt5W6PvXUU0hPT0dOTg5KS0tx+fJlTJ06tcnn+frrr1FSUoL+/fvD39/feFm5ciUAQKlUYteuXRgyZAgiIiLw4osvYvz48di4cePthG01vt57Cd/s0+/Jen9stKQTpC2ZoeRu28lsVNdxXkFLiTfMRwrnyqclGtc5EC4qBZLzK/DbhTypwyEiaiC9qBJ/1LfXvj/OvErtDBRyGYZE6bvcbeZgWbN1R0N0vL3vbPXiVu2Xg4ODsW/fvju6D2uz4lAqPth2FgDw2vAIPNg9ROKILFdciDsC3RyQUVyFPWdzjR1nyLT+atrAJMkSOakUuL9rEBb9mYIfDlxB//Y+UodERGS0JiEdogj0bu2JEE9HqcO5oeHRfvjxcCp2nMrGO6OjoGDJndm5rd/ImjVrMGHCBPTs2RNdunRpcCHT2ZiYiX/+kgQAeLp/azzet7XEEVk2mUzAfZ0CAAC/HM+QOBrbkFtWjZSCSgiCvv03WaYpPfXDwvecy8WVggqJoyEi0tPpRKw+kg4AmNjNPFeRDHq28oS7ox0KKmpxOIUld+aoyUnSF198gRkzZsDX1xfHjh1D9+7d4enpicuXL2PYsGGmiJEA7D2XixdWHYcoApN7hOCloe2lDskqjI7VJ0l7zuahpIrdukwtvr6rXYSfGq4OdhJHQ7erlbcz+rXzhigCSw9ckTocIiIAwJ+X8pFRXAW1vQJD68vZzJWdXIYhkYbBsiy5M0dNTpIWLFiAb7/9Fl9++SWUSiVefvll7Ny5E88++yxKSkpMEaPNO5JSiCeXJaBOK+K+TgF4e3RHs5gcbQ0i/FzQztcZtVodtp9kK05T43wk6zGtt341adWRNFTWaiSOhogIWBmvb9gwOjbQIhoDDYvWJ0nbTuZAy0Y4ZqfJSVJqaip69+4NAHBwcEBZmX7y+pQpU/Djjz82b3SE05mlmLE4HtV1OvRv742PH+hklp1aLJUgCMYGDusTWXJnaofZtMFq9G/ngxAPR5RWa/DLMXaIJCJpFVfWYsepHADmX2pn0Lu1F9T2CuSX1+AIS+7MTpOTJD8/PxQW6n+RISEhOHjwIAAgOTn5lo0YqGmS8ysw9ftDKKvWoFuYO76eHAelghv7mtuo+n1J+y8VILe0WuJorFdpdR3OZJcC4BBZayCTCZjaS7+atGR/Cl//iUhSvxzLQK1Wh0h/NToGukodTqMoFX91uWPJnflp8jvugQMHYsOGDQCAGTNm4Pnnn8c999yDiRMnYuzYsc0eoK3KKqnCw98dQn55LSL91fhuWjc4KM1/6dgSBXs4okuIG0QR2HiCL1KmknClCKIIhHg4wldtL3U41AweiAuGg50c53LKcCiZn4ISkTREUcRKC2nY8HfD60vutp7M5uw5M9PkFuDffvstdDodAP0wWE9PT+zfvx+jRo3CE0880ewB2qLCilpMWXgYGcVVCPdywpKZ3bnJ3cTGdA7E0dRibDiegUfuCpc6HKtknI/EVSSr4epohzGdA/Hj4VQs2Z+Cnq08pQ6JiGzQyYxSnMkqhVIhMzZkshR92njBRaVAblkNjqYWoSv/RpqNJq0kaTQavPvuu8jO/muD+4MPPogvvvgCzzzzDJRKZbMHaGvKquswfdFhXMwth7+rPZY+0h3eLiqpw7J6w6P9IZcJSEwvQXI+WxqbgrFpQzibNlgTQwOHHadzkFlcJXE0RGSLVh3RN2wYGuUHN0fLei+qUshxT6QvAGBLEhtImZMmJUkKhQIffvghNBp2MjKF6jotHvvhCE6kl8DDSYmlj/RAkLv5DkKzJl7OKtzVxgsAsOE4N6E3t+o6LRLT9N0vuZJkXSL81OgR7gGtTsTyQ2wHTkQtq7pOa5x1OLGrZZXaGRiG2W89mcWSOzPS5D1JgwYNwr59+0wRi02r0+owe8UxHLxcCGeVAktmdEcbH2epw7IphiX69YkZ3ITezE6kl6BWq4OXsxLhXk5Sh0PNbHrvMADAj4fTUF2nlTYYIrIp205mo6xag0A3B/RubZklv3e39YKTUo6skmocTy+WOhyq1+Q9ScOGDcOrr76KpKQkxMXFwcmp4RueUaNGNVtwtkKnE/HKmhPYdSYHSoUM303riuggy+jMYk2GRPlBpUjC5bwKnMostZjuOJbAUGrXLcyDM76s0D2RvvB3tUdWSTU2n8jC+LggqUMiIhthmI30QNcgyCx0RIq9nRyDOvhiQ2ImtiZloUsIy9LNQZOTpKeffhoA8Mknn1xzmyAI0Gr5KWJTiKKItzedxtpjGZDLBCyY1IWbnyXirFJgcKQvNp/IwvrjGUySmtHVSRJZH4Vchod7huKj7eew5EAKxnUJZDJMRCaXWlCJA5cLIAjAAxZaamcwPNofGxIzsSUpG68N78DXUDPQ5HI7nU53wwsTpKb7bNcFLN6fAgD4+IFOGFy/eY+kMbp+ZtKGxExOv24mWp2IhJQiAEB3DpG1WhO7BUMpl+FEegkeX5qA/RfzWbZKRCa1OkG/inRXGy8EujlIHM2d6d/eG45KOTKKq3AivUTqcAi3kSRR8/n+j2R8/usFAMDbo6MwpnOgxBFRv/beUNsrkFNag8Oc+9IszmaXoqxGA2eVAh381VKHQybi5azCrAFtAAA7T+dg0neHMPSz37D80BVU1rLZDxE1L61OxJoEy5yNdD32dnIMiPABAGw5yZmN5qDJ5XZvv/32TW9/4403bjsYW7ImIR1vbzoNAHjxnnaY2itM2oAIgL4V5/Bof/wUn4b1xzPQy0I3gZoTw3ykLqHukFtovTg1znOD22J4tB+WHEjB2qMZOJ9Tjn+uO4kPtp7FxG7BmNorDMEe7NhJRHfutwt5yCqphpujnbGFtqUbEe2PzSeysDUpG6/eG8GSO4k1OUlat25dg3/X1dUhOTkZCoUCrVu3ZpLUCNtPZeOVn08AAB65KxyzB7aROCK62qjYAPwUn4YtSVmYNzoKKoVc6pAsWryh1C6MG1FtQVtfF7w7JhovDY3A6iNp+OHAFaQWVuJ/vyfjuz+SMSjCFzP6hKF3a0++ASCi27a6fjbSmNhAq/k73b+9N+ztZEgtrGQDKTPQ5CTp2LFj11xXWlqK6dOnY+zYsc0SlDXbfzEfz6w4Bq1OxP1xQfgnN+eZnR7hnvBVq5BTWoN95/IwJMpP6pAsliiKOMymDTbJ1cEOj97dCjP7hGPv+Vws+jMFv1/Ix64zOdh1JgdtfZwxrXcYxnUJhKOyyX+KiMiGFZTXYOfpHADWUWpn4KhUYEB7H2w9mY0tSVlMkiTWLHuS1Go15s2bh9dff705Tme1jqcV49EfjqBWq8PQKF/8e1y0xbartGZymYD7YgwzkzhY9k5cKahEXlkNlHIZOgW7SR0OSUAmEzAwwhdLH+mBXS/0w9ReoXBUynEhtxz/+uUker7/K97ddBqpBZVSh0pEFmLdsQzUaUXEBLla3V5Xw2DZLUlZbH4jsWZr3FBSUoKSEnbjuJGM4ipMX3QYlbVa9Gnjic8f7AyFnH0zzNXoWH0TjV2nc1Bew03nt8uwihQd5Ap7O+soh6Db18bHGW+P7oiDrw3CGyMjEerpiNJqDb77Ixn9/rMHjy6Jxx8X2BWPiG5MFEWsOmKYjWQ9q0gGAyN8oFLIkFJQiTNZZVKHY9OaXOPwxRdfNPi3KIrIysrC0qVLMWzYsGYLzNr4q+0xtnMgjqUW49spXfmG0cx1DFSjlZcTLudXYMepbIzrwuGYt8PQtIGldnQ1tb0dZt4Vjum9w7DvfB4W7U/Bb+fzsOtMLnadyUUbH2dM6xWKcV2C4KRiKR4R/SUxvQTnc8qhUsgwqn5shzVxVinQr503dpzOwdaTWYgMsK6VMkvS5L8+n376aYN/y2QyeHt7Y9q0aZg7d26zBWZtZDIBb4yMRHWdDg5KJkjmThAEjI4NxKe7zmP98UwmSbfJMES2ezibNtC1ZDIBAyJ8MCDCB5fyyvHD/hSsSUjHxdxyvL7+FD7cfg4TugZjaq9QhHo6SR0uEZmBlfH6VaTh0f5wdbCTOBrTGB7tjx2nc7A5KQsv3NOOe9cl0uQkKTk52RRx2ARBEJggWZBRsQH4dNd5/HExH/nlNfByVkkdkkXJLatGSkElBAGIC+VKEt1ca29nzBvdEf8Y2h5rEtLxw4ErSM6vwMI/kvH9n8kY2N4H03qH4e62XnzDQGSjKms12Fi/V3iCFZbaGQzq4AOlXIbLeRW4kFuOdr4uUodkk5q8KaakpASFhdcO2SwsLERpaWmzBEVkDsK9nNApyBVanYgtSRzs1lTxyfrW3+19Xaz20z5qfi72dpjRJxy/vtAPi2Z0Q7923hBF4NezuZj6/WEM/mQffjiQwr2CRDZoS1I2yms0CPFwRI9w6/3wzcXeDn3beQEANp/g+w+pNDlJevDBB/HTTz9dc/2qVavw4IMPNktQROZiVH0Dh/XH2eWuqf4qtbPeP2RkOjKZgAHtfbBkZnfsfrEfpvcOg7NKgUt5FXhj/Sn0ev9XzNt4Cin5FVKHSkQtxNCwYULXIKvvDjyso77L3daTTJKk0uQk6dChQxgwYMA11/fv3x+HDh1qlqCIzMV9Mf4QBCDhShHSCtmiuCniOR+Jmkkrb2e8NSoKB+YOxLxRUWjl5YSyGg0W/ZmCAR/vxYxFh7HvfB50OnbFI7JWyfkVOJxcCJkA3B9nvaV2BoMjfWEnF3A+pxwXc9nlTgpNTpJqamqg0Vxb5lBXV4eqqqpmCYrIXPio7dG7tScAYANnJjVaWXUdzmTpy2+5kkTNxcXeDtN6h2HXC/2weEY3DGivL8Xbcy4P074/jMGf7sOS/SzFI7JGhlWkfu284edqL3E0pufqYIe72uhL7rYkZUscjW1qcpLUvXt3fPvtt9dc/8033yAuLq5ZgiIyJ6M76UvuNrDkrtESrhRBJwIhHo7wVVv/HzNqWTKZgP7tfbBoRnfs+Ud/zOijL8W7nFeBNzecQs/3f8VbG04hmaV4RFZBo9Xh54R0ANbdsOHvrh4sSy2vyd3t3n33XQwePBiJiYkYNGgQAODXX39FfHw8duzY0ewBEkltaEc//OuXkziXU4az2aWI8OPMglthqR21lHAvJ7x5XxReHNIea4+mY/H+FFzOq8Di/SlYvD8F/dt7Y1rvMPRr6231exiIrNW+83nILauBp5MSgzr4Sh1OixkS6YvXZALOZpfhcl45Wnk7Sx2STWnySlKfPn1w4MABBAcHY9WqVdi4cSPatGmDEydO4O677zZFjESScnWww4AIbwDAL8e4mtQYhs52nI9ELcVZpcDUXmHY9Xw//DCzOwZG+EAQgL3n8jBjUTwGfbIPi/9MRll1ndShElETGWYjje0cCKWiyW9dLZaboxK960vutp5kyV1LE0RRtOqdrqWlpXB1dUVJSQnUaq4A0O3ZkpSFp5cfRaCbA35/eQA/kb6JGo0W0W/tQK1Gh90v9uMnXySZlPwK/HDgClYfSUNZ/T4lJ6UcD9QPqOVjk8j85ZXVoNf8X6HRidjxfF+bmxn00+FUvLo2CVEBamx+losRzaGxuUGT0/EtW7Zg+/bt11y/fft2bN26tamnI7IIAyN84KxSIKO4CgmpRVKHY9ZOpJegVqODl7MS4V5OUodDNizMywlv3BeJg68Nwjujo9Da2wkVtVos3p+CgR/vw7TvD2PP2Vx2xSMyY2uPpkOjExEb7GZzCRIADInyg1wm4FRmKa4UcJ9lS2pykvTqq69Cq9Vec70oinj11VebJSgic2NvJ8fQKD8AwPrjGRJHY94OJ+v3I3UN9YAgcMWNpOekUmBKL31XvKWPdMfgDvpSvH3n8zBjcTwGfrwX3/+RjFKW4hGZFVEUjV3tJnaznYYNV/NwUqJnK/3+XpbctawmJ0kXLlxAZGTkNddHRETg4sWLzRIUkTkaHRsAQD/9uk6rkzga82Vs2sDW32RmBEHA3W298d20btj7j/549K5wuNgrkFJQibc3nUav93/FG+tP4mJuudShEhGAo6lFuJRXAQc7OUbG+EsdjmSGs8udJJqcJLm6uuLy5cvXXH/x4kU4ObG0hqxX79ae8HJWoqiyDn9cyJc6HLOk1YlISKlv2sDOdmTGQj2d8K+RkTg4dxDeGdMRbXycUVGrxQ8HrmDwJ/swZeEh7D6bw1I8IgkZGjaMiPGHi72dxNFIZ0ikH2SCvpydg+1bTpOTpNGjR2POnDm4dOmS8bqLFy/ixRdfxKhRo5o1OCJzopDLMDJGv5rEkrvrO5tdirIaDZyUcnTwt73acbI8TioFpvQMxc7n+2L5oz0wuIMvBAH4/UI+Zi4+ggEf78VCluIRtbjyGg02ndCvnNjSbKTr8XZRGQezb2PJXYtpcpL04YcfwsnJCREREQgPD0d4eDg6dOgAT09PfPTRR6aIkchsGErudpzOQWWtRuJozE98/X6kLqHuUMhtp00rWT5BENCnjRe+m9YV+/4xAI/dHQ61vQJXCirxzqbT6Pn+r3j9l5O4mFsmdahENmHLiSxU1mrRyssJ3cI4TmJEfcndZpbctZgmD5N1dXXF/v37sXPnTiQmJsLBwQExMTHo27evKeIjMiuxwW4I8XBEamEldp3JxahOAVKHZFbir7DUjixfiKcj/jkiEs/f0w7rjmVgyf4UnM8px9KDV7D04BXc3dYL03uHoX97H8g5DoDIJFbWN2x4oGswmwABGBrlhzc2nMLxtGJkFFch0M1B6pCs3m191CsIAoYMGYKXXnoJs2fPxt13342tW7fi/vvvb+74iMyKIAjG1aQNLLlrQBRF40oSmzaQNXBUKjC5Ryi2z+mLFY/2wD2Rf5XiPbLkCAb8Zy+++/0ySqpYikfUnC7mliHhShHkMgHjuwRKHY5Z8FHbo1soS+5a0h3VwyQnJ+P1119HSEgIxo4di+rq6uaKi8hsGZKkvefyUFRRK3E05iO1sBK5ZTWwkwuIDXaTOhyiZiMIAnq38cL/pnbFby8NwON9W0Ftr0BqYSXe3XwGPd//Ff9cl4QLOSzFI2oOq46kAwAGtPeGj9pe4mjMx7Bo/SiSrSy5axFNTpJqamqwfPlyDBw4EO3bt8f777+PF154Abm5udi0aZMpYiQyK218XBDpr4ZGJ3JmwVUM85FigtxgbyeXOBoi0wj2cMRrwzvg4GuD8P7YaLT3dUFVnRbLD6Xink9/w8PfHcLO0znQsise0W2p0+qw9qg+SbL1hg1/N6yjfl/SkStFyC7hwoSpNTpJSkhIwNNPPw0/Pz989tlnGDNmDNLS0iCTyTB06FCo1WpTxklkVgyrSexy9xfjfCTuRyIb4KhUYFKPEGybczdWPNYDQ6N8IROAPy7m47EfjqD/f/bgf79dRkklS/GImmL32Vzkl9fCy1mFARE+UodjVvxc7REXqm9ise0kV5NMrdFJUo8ePaBSqXDw4EHEx8fj2Wefha+vryljIzJb99U3bDiUXIjM4iqJozEP8Yb5SOHsQkS2QxAE9G7thf9O6YrfXh6AJ/q1gquDHdIKq/DeljPoOf9XvLYuCedZikfUKKvqZyONjwuEHbukXmNYR33J3RZWsphcox99gwYNwsKFC/H2229j27ZtEEWWEpDtCnBzMM4s2JiYKXE00sstq0ZyfgUEAYgL5UoS2aYgd0fMHdYBB+cOwr/HRSPCT1+Kt+JQKoZ8+hsm/e8gdpzKZike0Q3klFZjz7lcAMADcSy1u55h9a3A41MKkVvKkjtTanSStH37dpw6dQrt27fHU089BX9/fzz33HMAwNaMZJP+KrljknSkfhWpva8LXB1sdyo6EQA4KOV4sHsItj53N356vCfujfKDTAD2XyrA40sT0O+jPfj2t0ssxSP6m5+PpkMnAl1D3dHGx1nqcMxSoJsDYoPdIIrA9lNcTTKlJq1jBgcH44033kBycjKWLl2KvLw8KBQKjB49Gq+99hqOHj1qqjiJzM7wjv5QyAScziq1+a5WhqYN3I9E9BdBENCzlSe+mRKH314egCf7tYabox3Si6rw/paz6DF/F+auTcK5bNt+/SAC9GMkVtd3tZvQjatINzO8vsvdliQmSaZ028We99xzD1asWIHMzEw888wz2Lp1K7p169acsRGZNXcnJfq18wYAbLDxkjtj0wbORyK6riB3R7w6LAIH5w7CB+P1pXjVdTr8eDgVQz/7DQ99exAXc8ulDpNIMoeTC5GcXwEnpRwj6kvK6PoMXe4OJRcgv7xG4mis1x3viHN3d8czzzyDY8eOIT4+vjliIrIYo64qubPVfXpl1XU4k1UKAOjOlSSim7K3k2NiN30p3srHe2JYRz/IZQIOXC7AzMXxKK1mCR7ZppVH9A0bRsYEwEmlkDga8xbs4YiYIFfoWHJnUs3aNqRLly7NeTois3dPpC8clXKkFlbieFqx1OFIIuFKEXQiEOzhAD9XDv0jagxBENCjlSe+fjgO+17qjyB3B6QWVuKl1Yk2+4EL2a6y6jpsqR+QylK7xjGsJm1lyZ3JsLci0R1wVCowJFLfCt9WGzhwPhLRnQlyd8T/TeoCO7mA7ady8P2fKVKHRNSiNiZmobpOhzY+zugS4iZ1OBbBsC/pwOUCFFbUShyNdWKSRHSHRscGAgA2nciCRquTOJqWZ5yPxCSJ6LZ1CnbDv0ZEAgDmbzmDo6lFEkdE1HIMpXYTuwazY3IjhXo6ISpADa1OxA6W3JkEkySiO3RXWy+4O9ohv7wGBy4XSB1Oi6rRaI1lhmzaQHRnpvYKxYgYf2h0ImYvP4oifjpMNuBcdhkS04qhkAkY2yVQ6nAsyvD6BhccLGsad5Qk5efnY/PmzdiwYQOysrKaKyYii2Inl2FEjP6FytZK7pLSS1Cr0cHLWYlWXk5Sh0Nk0QRBwL/HRSPcywmZJdV4ftVx6Dh4lqzcynj9KtKgDj7wclZJHI1lGdZRX3K3/2I+iiv5oUpzu+0k6eeff0abNm0wb948vPnmm2jdujUWLVrUnLERWQxDyd22k9mortNKHE3LOVy/H6lrqAdLJIiagYu9HRZM7gKVQoa95/Lw9b5LUodEZDK1Gh3WHdPPRprIhg1N1srbGRF+LtDoROw8nSN1OFan0UlSeXnD+Q3z5s3D4cOHcfjwYRw7dgyrV6/GP//5z2YPkMgSxIW4I9DNAeU1Guw5myt1OC0mPpnzkYiaWwd/Nd4Z3REA8PGOczhwybbKeMl27DqTg6LKOviqVejb1lvqcCySseQuiRVdza3RSVJcXBzWr19v/LdCoUBu7l9vBnNycqBUKps3OiILIZMJuK/TXzOTbIFWJ+LIFTZtIDKFB7oGYXyXIOhE4NmfjiG3rFrqkIianaHUbnyXICjk3CZ/Owxd7v64mI+SKs5Za06NfkRu374d3377LcaOHYvMzEx8/vnnmDhxIvz8/ODl5YVXX30VCxYsMGWsRGZtdP1g2d1nc23ihepcdhnKqjVwUsrRwd9F6nCIrIogCHhnTBTa+Tojr6wGz/14HFruTyIrkllchd8u5AEAJnRlqd3tauPjgrY+zqjTivj1DEvumlOjk6SwsDBs3rwZEyZMQL9+/XD8+HFcvHgRO3fuxK5du5Camorhw4ebMlYisxbh54J2vs6o1eqw3QY6zRjmI3UJdecngEQm4KhUYMHkODgq5ThwuQCf7TovdUhEzebnhHSIItAj3ANhbPxzR1hyZxpNfmfz0EMPIT4+HomJiejfvz90Oh1iY2Nhb29viviILIYgCMYGDusTMySOxvQOc4gskcm18XHG/HHRAIAvd1/E3nO2s+eRrJdOJ2JVQv1sJDZsuGOGJOm38/koq7b+SpaW0qQkacuWLfj4449x5MgRfPfdd/jwww8xefJkvPTSS6iqqjJVjEQWY1T9vqT9lwqQW2q9ewhEUfyraQOTJCKTGh0biMk9QgAAz688jsxi/r0ly3bwcgHSCqvgolJgWEd/qcOxeO18ndHK2wm1Wh1221DzKFNrdJL04osvYsaMGYiPj8cTTzyBd955B/369cPRo0dhb2+Pzp07Y+vWraaMlcjsBXs4okuIG0QR2HjCepe9UwsrkVtWAzu5gM4hblKHQ2T1Xh8ZiY6BahRV1uGZH4+hTquTOiSi27byiH4V6b7YADgo5RJHY/kEQcDwjiy5a26NTpIWL16MLVu24KeffkJ8fDyWLl0KAFAqlXjnnXewdu1avP/++yYLlMhSGEruNhy33pK7w/WrSNGBrrC34x84IlOzt5NjwaQ4uNgrkHClCB9uOyt1SES3paSyDlvr9+1OZMOGZmMoudt7Lg8VNRqJo7EOjU6SnJyckJycDABIS0u7Zg9SZGQkfv/99+aNjsgCjYjxh1wmIDG9BMn5FVKHYxKGpg2cj0TUckI8HfHR/Z0AAP/7PRk7Tll/gxiyPhsSM1Cr0SHCzwUxQa5Sh2M1Ovi7IMzTETUaltw1l0YnSfPnz8fUqVMREBCAfv364Z133jFlXEQWy8tZhbvaeAEANljpzKQjKZyPRCSFezv64ZG7wgEAL65ORGpBpcQRETWNodTuga7BEARB4mishyAIGFa/mrT1JEvumkOjk6TJkycjLS0N69evR0pKCkaPHm3KuIgsmmFm0vrEDIiidc02ySurweX8CggC0DWUSRJRS3t1WAS6hLihrFqDWSuOorpOK3VIRI1yKrMEJzNKYScXMLZzoNThWJ0R9UnS7rO5qKxlyd2dalJ3O09PT3Tr1g1ubm4mCofIOgyJ8oNKIcPlvAqcyiyVOpxmdaS+1K69rwtcHe0kjobI9tjJZfhqUhe4O9ohKaME720+I3VIRI2y+kg6AGBIpB88nJQSR2N9ogLUCPZwQHWdDnvP5UkdjsXjBEgiE3BWKTA40hcAsN7KGjhwPhKR9ALcHPDJxFgAwNKDV7Ah0TpLe8l6VNdpse6Y/u/hBM5GMgl2uWteTJKITGR0/cykDYmZ0Oqsp+SOTRuIzMOA9j6YPaANAGDuzydwKa9c4oiIbmzH6RyUVNUhwNXeuG+Xmt/wq0ruWIp7Z5gkEZlIv/beUNsrkFNaY2yZbenKqutwur58kE0biKQ3Z3Bb9GzlgYpaLZ5edhRVtXxTROZpVby+YcP9cUGQy9iwwVRiglwR6OaAylotS+7uEJMkIhNRKeTGT3Q2JFpHyd3R1GLoRCDYwwF+rva3/gIiMimFXIYvHuwML2cVzuWU4Y31J6UOiegaaYWV+PNSPgB9VzsyHUEQMKyjHwB2ubtTTJKITGhUfZe7zSeyUKOx/E9445O5H4nI3Pio7fHFQ7GQCcDqhHSsqm+xTGQu1iSkQxSBPm08EezhKHU4Vs/QCvzXMyy5uxNMkohMqEe4J3zVKpRWa7DPCpa92bSByDz1bu2FF+5pBwB4/ZeTOJNlXV01yXJpdSLWJOi72k3gKlKL6BzsBn9Xe5TXaPD7hXypw7FYTJKITEguE3BfjGFmkmV3n6rRaHE8rRgAkyQic/R0/zbo184bNRodZi0/ivIazkkh6f15MR8ZxVVQ2yswNMpP6nBsgkwm4F5DyR273N02SZOk+fPno1u3bnBxcYGPjw/GjBmDc+fONTimuroas2bNgqenJ5ydnTF+/Hjk5ORIFDFR042O1Q/M23U6x6LftCSll6BWo4OnkxKtvZ2kDoeI/kYmE/DpxFj4u9rjcn4FXv35hNUNsybLYyj/HNM5EPZ2comjsR2GPdE7z+RYRbm/FCRNkvbt24dZs2bh4MGD2LlzJ+rq6jBkyBBUVFQYj3n++eexceNGrF69Gvv27UNmZibGjRsnYdRETdMxUI1WXk6o0eiw41S21OHcNkOpXdcwdwgCOxMRmSMPJyW+mtQZCpmATSeysOzgFalDIhtWVFGLHaf0H2yz1K5lxYW4w8dFhbJqDf68yJK72yFpkrRt2zZMnz4dUVFR6NSpExYvXozU1FQkJCQAAEpKSrBw4UJ88sknGDhwIOLi4rBo0SLs378fBw8elDJ0okYTBMHYwGH9ccstuWPTBiLLEBfqgVeHRQAA3tl0BifSi6UNiGzWL8czUKvVIdJfjY6BrlKHY1Nksr+63G1JstwPaKVkVnuSSkpKAAAeHvo3YQkJCairq8PgwYONx0RERCAkJAQHDhy47jlqampQWlra4EIkNUPJ3R8X85FfXiNxNE2n04k4cqUIANCdQ2SJzN4jd4VjSKQvarU6PL38KEoq66QOiWyMKIpYWT8baWI3riJJwdDlbsepbNRqdBJHY3nMJknS6XSYM2cO+vTpg44dOwIAsrOzoVQq4ebm1uBYX19fZGdfPyueP38+XF1djZfgYD4xSXrhXk7oFOQKrU7EFgvcRHkupwxl1Ro4KeWI9FdLHQ4R3YIgCPjogU4I9nBAelEVXlydyP1J1KJOZpTibHYZlAoZxtR/UEgtq1uYB7yc9R12D1wukDoci2M2SdKsWbNw8uRJ/PTTT3d0nrlz56KkpMR4SUvjvAgyD6Pq/0hYYsldfP1+pC6h7lDIzeZlg4huwtXBDgsmxUEpl2HXmRx893uy1CGRDVl5JBUAcG+UH1wd7SSOxjbJZQLu7egLANhywvI+oJWaWbzbmT17NjZt2oQ9e/YgKCjIeL2fnx9qa2tRXFzc4PicnBz4+V2/jaRKpYJarW5wITIH98X4QxCAhCtFSCuslDqcJjnM/UhEFik6yBVv3BcJAPj3trM4Uv+BB5EpVddpjR8IsmGDtIZ31JfcbT+djTotS+6aQtIkSRRFzJ49G+vWrcPu3bsRHh7e4Pa4uDjY2dnh119/NV537tw5pKamolevXi0dLtEd8VHbo3drTwDABguamSSKonEliUkSkeWZ3CMEozoFQKsTMXvFMRRY4L5IsixbT2ahrFqDIHcH4989kkb3cA94OClRXFmHQ5f5IUlTSJokzZo1C8uWLcOKFSvg4uKC7OxsZGdno6qqCgDg6uqKRx55BC+88AL27NmDhIQEzJgxA7169ULPnj2lDJ3otozupC+522BBJXdphVXIKa2BnVxA5xA3qcMhoiYSBAHvj4tGK28nZJdWY87K49DpuD+JTGdVfDoA4IG4YMhkHBkhJYVcZhziu9kC90RLSdIk6euvv0ZJSQn69+8Pf39/42XlypXGYz799FOMHDkS48ePR9++feHn54e1a9dKGDXR7Rva0Q9KuQzncspwNtsyOi8a5iNFB7pyECCRhXJWKfD15DjY28nw+4V8fLXnotQhkZW6UlCBA5cLIAjA/V2Dbv0FZHLDo/VJ0o5T2dCw5K7RJC+3u95l+vTpxmPs7e3xf//3fygsLERFRQXWrl17w/1IRObO1cEOAyK8AVhOAwfjfCS2/iayaO39XPDumGgAwKe7znPAJJnE6iP6VaS72ngh0M1B4mgIAHq28oSbox0KKmqNH3zSrZlF4wYiW2KYmbTheKZFlLwY9yOFMkkisnT3xwVhQtcgiCLw3E/HkFtaLXVIZEW0OhFrEvRJEmcjmQ87uQxDIvVd7rZysGyjMUkiamEDI3zgrFIgo7gKCalFUodzU3llNbicXwEA6BrmLnE0RNQc3h7dERF+Lsgvr8XsH4+x/IaazW8X8pBdWg13RzvcU/+mnMzD8PrBsltPZkNrAR/QmgMmSUQtzN5ObtxEuf54hsTR3JyhXXB7Xxe4OSoljoaImoO9nRwLJneBk1KOw8mF+GTnealDIiuxKl4/m3JM50CoFNzDak56t/aC2l6B/PIajgJoJCZJRBIYHRsAANh8Isus5xYYape7hXMViciatPJ2xgf3xwAAFuy9hD1ncyWOiCxdQXkNdp3JAcDZSOZIqZDhnkj9B7RbT7LkrjGYJBFJoHdrT3g5K1FUWYc/Lpjv5mnORyKyXiNjAjCtVygA4PlVx5FRXCVxRGTJ1h3LQJ1WREyQKzr4q6UOh65jRIwhScqyiD3RUmOSRCQBhVyGkTH61SRzLbkrr9HgdKa+TXl3drYjskqvjeiAmCBXFFfWYdbyo6jVmO/KNpkvURSxsr7UjqtI5qtPGy+4qBTIKa3BUTPfE20OmCQRScRQcrfjdA4qazUSR3Oto1eKoBOBIHcH+LuyjSuRNVIp5Pi/SV2gtlfgeFox/r31rNQhkQU6nlaMC7nlUClkGFX/t43Mj0ohx+D6hhpb2OXulpgkEUkkNtgNIR6OqKzVYtcZ89sPYCi1685SOyKrFuzhiI8nxAIAvv8zGdtOZkkbEFmcVUf0q0jDo/2htreTOBq6mWEdWXLXWEySiCQiCIJxNWmDGZbcHeYQWSKbcU+kL57o2woA8NLqE0ipb/1PdCuVtRpsTNQn1iy1M39923nDSSlHVkk1jqcXSx2OWWOSRCQhQ5K091weiipqJY7mLzUaLY6nFQNg0wYiW/GPoe3RNdQdZTUaPL38KKrrtFKHRBZgS1I2yms0CPV0RM9W/Hth7uzt5BjUwTBYlqvGN8MkiUhCbXxcEOmvhkYnmlVLzpMZJajR6ODppERrbyepwyGiFmAnl+HLSZ3h4aTE6axSvL3ptNQhkQVYdVXDBkEQJI6GGmN4tL7kbktSNkSRJXc3wiSJSGKG1SRz6nJ3OFnf9aZrmDv/6BHZEH9XB3w2MRaCAKw4lIpfjpnP6xKZn8t55TicUgiZAIzvEiR1ONRI/dv7wFEpR0ZxFU6kl0gdjtlikkQksfs66ZOkwymFyDSTOSWcj0Rku/q288YzA9sCAOauTcKFnDKJIyJztepIOgCgXztv+LnaSxwNNZa9nRwDInwAAFvYqOWGmCQRSSzAzQHdwz0gisDGxEypw4FOJ+IIkyQim/bcoLbo08YTVXVaPL38qFmOKSBpabQ6/HxUnyRN7MaGDZZmeEd/AMBWltzdEJMkIjPwV8md9EnSuZwylFZr4KiUIyqAU9OJbJFcJuCziZ3h46LChdxy/GvdSb6Rogb2nstDXlkNPJ2UGBjhK3U41EQDIrxhbydDamElTtUPjqeGmCQRmYHhHf2hkAk4nVUqeWmLodSuS4g7FHK+RBDZKm8XFb58qDNkArD2WAZW1m/QJwKAlfWzkcZ1CYRSwb8VlsZRqcCA9vUld+xyd118VBOZAXcnJfq18wYAbJC45M44H4mldkQ2r0crT/xjaHsAwBsbTuFUJjd5E5BbVo3dZ/VD0DkbyXINi9aX3G1JyuJK8XUwSSIyE6OuKrmT6sVKFMW/mjaEu0sSAxGZlyf7tsbACB/UanSYtfwoSqvrpA6JJLbuaAa0OhGdQ9zQ1tdF6nDoNg2M8IFSIUNKQSXOZrNBy98xSSIyE/dE+sLBTo7UwkrjINeWll5UhZzSGtjJBXQOZpJERIBMJuDjBzoh0M0BKQWVePXnE/zU2YaJomgstZvIVSSL5qxSoH99FQtL7q7FJInITDgqFRgSpd/8KlUDB0OpXcdAVzgo5ZLEQETmx91Jia8mdYadXMCWpGws2Z8idUgkkYQrRbicVwEHOzlG1o+wIMs1vL7kbjNL7q7BJInIjIyJDQQAbDqRBY1W1+L3byi16879SET0N51D3PHa8A4AgPe2nMGx1CKJIyIpGBp4jIjxh7NKIXE0dKcGdvCBUi7D5bwKXMgtlzocs8IkiciM3NXWC+6Odsgvr8GBywUtfv+HOR+JiG5ieu8wDOvohzqtiNkrjqG4slbqkKgFlddosLm+LIuzkayD2t4Od7f1AgBsPsGSu6sxSSIyI3ZyGUbE6Je+W7rkLr+8BpfzKgAAXcO4H4mIriUIAj64PwZhno7IKK7Ci6sSodOxRMdWbD6RicpaLVp5O6FrKP9OWAtDyd3Wk0ySrsYkicjMjK4vudt2MhvVddoWu98j9atI7X1d4OaobLH7JSLLora3w/9N7gKlQoZfz+biv79dljokaiGGUrsJXYMhCILE0VBzGdzBF3ZyAedzynExl13uDJgkEZmZuBB3BLo5oLxGgz31cyhawuFk/f4Ctv4moluJCnDFvFFRAID/7DiHQxKUB1PLuphbhqOpxZDLBIzrEih1ONSMXB3t0KeNvuRua1K2xNGYDyZJRGZGJhNwX6e/Zia1lHjuRyKiJniwWzDGdg6EVifimR+PIb+8RuqQyIRWHUkHAAxo7wMfF3uJo6HmdnWXO9JjkkRkhkbXD5bdfS4XJVWmH9xYXqPBqcwSAEySiKhxBEHAe2M7oq2PM3LLavDcT8eg5f4kq1Sn1WHtUX2SxIYN1mlIpC8UMgFns8twOY9d7gAmSURmKcLPBe18nVGr0WH7SdMvfR+9UgSdCAS6OSDAzcHk90dE1sFRqcCCyV3gYCfHnxcL8MWvF6QOiUzg1zO5yC+vhbeLCgPae0sdDpmAm6MSvVp7AgC2tsD7DkvAJInIDAmCYGzgsD4xw+T3Z5yPFM5VJCJqmra+Lnh/XEcAwBe7L+D3C3kSR0TNbdURfcOGcV0CoZDzraO1MpTcbWHJHQAmSURma1T9vqT9lwqQW1pt0vs6nMz9SER0+8Z2DsJD3UMgisCcn44ju8S0r1nUcnJKq7H3nL6J0ISuLLWzZkOj/CCXCTiVWYorBRVShyM5JklEZirYwxFdQtwgisBGEw54q9XocDytGADQnZ3tiOg2vXlfJCL91SioqMUzPx5FnVYndUjUDNYkpEMnAt3C3NHa21nqcMiEPJyU6NlK/2EpS+6YJBGZNUPJ3Ybjpiu5S8ooQY1GBw8nJf8AEtFts7eTY8HkLnBRKRCfUoT/7DgndUh0h0RRxOojf81GIus3rGP9YFmW3DFJIjJnw6P9IZcJSEwvQXK+aZa+DfuRuoa6czggEd2RMC8nfHh/DADgv/suY9fpHIkjojtxKLkQKQWVcFLKjftVyLoNjfKDTAAS00uQVlgpdTiSYpJEZMa8XVTGAW8bTDQzKT6ZTRuIqPkMi/bHjD5hAIAXVyfa/BstS2Zo2HBfpwA4qRQSR0MtwdtFZXw/sM3GS+6YJBGZuTH1M5PWJ2ZAFJt3BolOJ+LIlSIAbNpARM1n7rAOiA12Q0lVHWavOIoajVbqkKiJSqvrjF3OJnA2kk0xdrk7adsld0ySiMzckCg/qBQyXM6rwKnM0mY99/ncMpRU1cFRKUdUgLpZz01EtkupkOH/JneBm6MdEtNLMH/LWalDoibamJiJ6jod2vo4o3Owm9ThUAu6N8oPggAcSy1GZnGV1OFIhkkSkZlzVikwONIXALC+mRs4GErtuoS4c/YFETWrQDcHfDKhEwBg8f4UbDZhl05qfqvi/2rYwP2qtsVHbY9uoexyx3dFRBZgdP3MpA2JmdDqmq/k7nAKS+2IyHQGRvjiqf6tAQCv/HwCl/PKJY6IGuNsdikS00ugkAkY2yVQ6nBIAsOi/QDYdpc7JklEFqBfe2+o7RXIKa0xDn69U6IoGleSunE+EhGZyIv3tEP3cA+U12jw9PKjqK7j/iRztyo+HQAwuIMvvJxVEkdDUri3oz5JOnKlyGaHQzNJIrIAKsVf7Vc3JDZPyV16URWyS6uhkAnoHMwkiYhMQyGX4cuHOsPLWYmz2WV4c/0pqUOim6jRaLHumD5JmsiGDTbL39UBcaH69wbbbLSBA5MkIgsxqr7L3Zak7GbpFGVYkeoY6AoHpfyOz0dEdCO+ant8/mBnCAKw8kga1iSkSx0S3cCu07koqqyDr1qFu9t6SR0OSWhY/WrSFhvdl8QkichC9Aj3hK9ahZKqOuw7l3fH5zMMkeV8JCJqCX3aeGHOoHYAgH/9koRz2WUSR0TXY5iNdH9cEBv62Lhh9RUs8SmFyC2zvZI7PvqJLIRcJuC+GMPMpDsfLHu4Pkli0wYiainPDGyDu9t6obpOh6eXJ6CiRiN1SHSVzOIq/HZB/yHchK4stbN1gW4OiA12gygC221wNYlJEpEFGR2r7zK063QOyu/gzUVBeQ0u51UAALqGcj8SEbUMmUzAZxNj4ae2x6W8Cry2LqnZh2TT7VuTkA5RBHq28kCop5PU4ZAZGF7f5W5LEpMkIjJjHQPVaOXlhBqNDjtO3f4LVnx96+92vs5wd1I2V3hERLfk6azCl5M6Qy4TsP54JlYcTpU6JAKg04nGUjuuIpHBsI76krtDyQXIL6+ROJqWxSSJyIIIgmBs4LD++O2X3MWz1I6IJNQtzAOv3NseADBvw2mczCiROCI6eLkA6UVVcFEpjG+MiYI9HBEd6AqdCGy/gw9nLRGTJCILM6p+sOwfF/Nv+1MdNm0gIqk9dncrDO7gg1qtDk8vP4qSqjqpQ7JpK+tXkUbFBrDjKTVgGEGy1cZK7pgkEVmYVt7OiAlyhVYnYsttTMKuqNHgVGYpAK4kEZF0BEHAxw/EIsjdAamFlXh5TSL3J0mkpLIOW+s35nM2Ev2doRX4gcsFKKyolTialsMkicgCGRo43E7J3dHUImh1IgLdHBDg5tDcoRERNZqrox0WTO4CpVyG7adysPCPZKlDsknrEzNQq9Ehws8F0YGuUodDZibMywmR/mpodSJ2nrad1SQmSUQW6L4YfwgCkHClCGmFlU362vhkltoRkfmICXLDv0Z2AAD8e+tZJFwpkjgi23N1wwZBECSOhszRiBh9yd1mGyq5Y5JEZIF81Pbo3doTALChiTOTOB+JiMzNlJ6hGBHjD41OxOwVR22qpEdqpzJLcDKjFEq5DGM7B0odDpkpQ8nd/ov5KK60jecnkyQiCzW6k/6P2YYmlNzVanQ4lloMAOgezvlIRGQeBEHAB+Nj0MrLCVkl1Xhh1XHodNyf1BJWxetXke6J8uVICLqhVt7OiPBzgUYnYufpHKnDaRFMkogs1NCOflDKZTiXU4az2aWN+pqkjBLUaHRwd7RDa29nE0dIRNR4zioF/m9yF6gUMuw9l4ev912SOiSrV12nxS/1H7RxNhLdiqE1/O00jbJETJKILJSrgx0GRHgDaHwDB0Pr765hHqw7JyKz08FfjXdGdwQAfLzjHA5cKpA4Iuu243QOSqrqEOBqj7vaeEkdDpm5ETH6krs/LubbRMt+JklEFszQ5W7D8cxGlaYYmzZwPxIRmakJ3YJxf1wQdCLw7E/HkFtWLXVIVstQand/12DIZfzgjG6ujY8L2vo4o04r4tcz1l9yxySJyIINjPCBs0qBjOIqJKTevCOUTifiSH3XqG7sbEdEZuyd0R3R3tcFeWU1eO7H49Byf1KzSyusxB8X8wEAD8QFSRwNWYph0YaSO+vvcsckiciC2dvJMTRKv/y9/njGTY+9kFuOkqo6ONjJERWgbonwiIhui4NSjv+b3AVOSjkOXC7AZ7vOSx2S1VmdkA4A6NPGE8EejhJHQ5ZiRH2S9NuFPJRVW3fJHZMkIgs3OjYAALD5RBbqtLobHmdo/d0l1A12cj71ici8tfFxxvvjogEAX+6+iL3nciWOyHpodSLWXDUbiaix2vk6o5W3E2o1Ouw+a93PSb5TIrJwvVt7wstZiaLKOvxxIf+Gxxn2I3E+EhFZitGxgXi4ZwgA4PmVx5FZXCVxRNbhz4v5yCyphquDnbEagagxBEHAcBvpcsckicjCKeQyjIzRrybdqOROFEVjZzs2bSAiS/KvEZHoGKhGUWUdZq84etMVc9ITRREVNRqkFVbiRHox9p7Lxbpj6Vj4RzL+s/0cPth2FgAwJjYA9nZyiaMlSzMsWp9Y7z2Xh4oajcTRmI5C6gCI6M6Nig3A4v0p2HE6B5W1GjgqGz6104uqkFVSDYVMQOcQDpElIsthbyfHgklxGPHl7ziaWowPt53FP0dESh1Wi6rRaFFUUYfCiloUVdY2/G9FLQor6/T/NVwqa1GruXUyOaEbS+2o6SL91QjzdERKQSV2n83FfZ0CpA7JJJgkEVmBzsFuCPFwRGphJXadycWov71gGVaROga6wkHJTw2JyLKEeDriPw90whNLE/C/35PRNczDYsvENFodiqv+Smr0yU6dMekprLg2Caqo1d7WfSkVMng6KeHuqISHkxLuTkrjv6OD1IgKcG3m745sgSAIGBbtj6/3XsLWk1lMkojIfAmCgNGxAfhy90VsOJ5xwySpO1t/E5GFGhrlh0fvCsd3fyTjH6sT0cFPjRBPabuy6XQiyqo1KLx6Vad+Jafo78lOpX4l6HaHcMplQn2yYwcPp/qkx/Fv/3VSwsNRCff6Yxzs5BwcTiYxvKM+SdpzNu+6FSzWwPq+IyIbZUiS9p7LQ1FFLdydlMbbDrNpAxFZgVeGReBoahGOphbj6RUJWPNk72bbUyOKIipqtTdJdOpXf+qvL6rUJz63M8NJEAA3B7urkpqr/utkd52kRwm1vYIJD5mNjoFqBHs4IK2wCnvP5WF4fWtwa8IkichKtPFxQaS/GqezSrH1ZDYm9dB3hCoor8GlvAoAQNdQ7kciIstlJ5fhq0ldMOKL33EyoxTvbj6Nd8dEX/fY6jrtVSVrdTdY3WmY/DRmH8/1uKgUcDcmNX9Lfq5a6TEkQK4OdlBwFANZMEOXu//+dhlbkrKYJBGReRsdG4DTWaVYfzzDmCTFpxQBANr6ODdYXSIiskQBbg749P/bu/PoqOqDjePPZLJNQhLWhKQJSwORLSSBQAp52akhtIDWt7zVtAW1FStpoKkcQq14aiUQWyqVWKzFI3KENp5qIkXRl8YjEJYXEMaARIgFlCWQIksWlCVz3z+QOTNl0YRkLrn5fs6ZczJ37tx55p7L8uT+7u/+T7LuX7FDr2z7VOcvNsgwdM31POebeB1P0NXreK47pO36BSjQn8KDticz8UpJevejan1xqcFyMyVSkgALmZQUo4XrPtL2w6d1/OznimnvcF+PNITrkQBYxOg7IpU9ppeWvvuxXt91/VsfSJK/n+2a63Sudx1PJ4+hbUxuA3w9SbER+kZ7h46dvTLkbsKA1jmZyo1QkgALiWnv0NCeHbX90GmtLT+uh0bGc38kAJY0e3yC2gX568z5S+5hbJ3aeZefsCCu4wFais1mU+aArlpedkjr9lZRkgDc3qYkx2j7odMq2X1cWWnd9eHxGkmcSQJgLXY/m2aMijc7BtCmZSZGa3nZIZVWWG/IHYNoAYuZOCBa/n427auq0as7j6jBZegb7R36RnuH2dEAAICFpMS1V9fwYNVduKyyylNmx2lWlCTAYjqEBmpUQhdJ0jPrD0iShvRgVjsAANC8/Pxsyky8MszurT1VJqdpXpQkwIImJ1+5mWzNF5clMdQOAAC0jKvTf6+vOKkLl5s2q+TtyNSStHHjRk2aNEkxMTGy2WwqKSnxen369Omy2WxejwkTJpgTFmhFvt0vSg6PccFM2gAAAFrC4G4dFBkWpNovLmvLx5+ZHafZmFqS6uvrlZSUpOeee+6G60yYMEFVVVXux1//+lcfJgRap5BAf93ZP0qS1CEkQL0i25mcCAAAWJGfn809s92bFhpyZ+rsdpmZmcrMzLzpOkFBQera1VpTCgK+kJXWXWvLq5SZGM0UuAAAoMVMTIzWyq2f6H8/PKGLdyda4gbLt/0U4O+9954iIyPVoUMHjR07Vk899ZQ6dep0w/UvXLigCxcuuJ/X1NT4IiZw2xnas6O2zRunCEeA2VEAAICFDenRUZ3bBepU3UVtPfiZewKp1uy2rnkTJkzQypUrVVpaqoKCAm3YsEGZmZlqaLjxRWELFy5URESE+xEXF+fDxMDtpUtYkCV+mwMAAG5fdj+bMvp/OctduTWG3NkMwzDMDiFduWtvcXGx7rrrrhuuc/DgQcXHx+uf//ynxo0bd911rncmKS4uTufOnVN4eHhzxwYAAADavC0fn9J9y/9P7UMCtOOx8Qqw356/pK2pqVFERMRXdoPbM/0NfPOb31Tnzp318ccf33CdoKAghYeHez0AAAAAtJyhPTuqY2igzp6/pP87eNrsOLesVZWko0eP6rPPPlN0dLTZUQAAAAB8yd/up4wvZ9Z9a2/rH3Jnakmqq6uT0+mU0+mUJB06dEhOp1Offvqp6urqNGfOHG3btk2HDx9WaWmppkyZol69eikjI8PM2AAAAAD+Q+aAKycy3tl7QpcbXCanuTWmlqSdO3cqJSVFKSkpkqTc3FylpKRo/vz5stvtKi8v1+TJk5WQkKAHH3xQgwcP1qZNmxQUFGRmbAAAAAD/YVh8J7UPCdBn9Re1/XDrHnJn6hTgo0eP1s3mjXjnnXd8mAYAAABAUwXY/XRnvyi9uvOo1u05oeHxnc2O1GSt6pokAAAAALevzMQrQ+7W7T2hBtdtMYl2k1CSAAAAADSL9PjOCg/216m6C9rZiofcUZIAAAAANItAfz99u9+VG8uu23vC5DRNR0kCAAAA0GwmJl4tSVVytdIhd5QkAAAAAM3mv3p3VliQv07WXNCuT8+YHadJKEkAAAAAmk2Qv13j+315Y9k9rXPIHSUJAAAAQLPKHNC6h9xRkgAAAAA0q5EJXRQaaFfVuS/kPHrW7DiNRkkCAAAA0KyCA+wa1/fKkLt1e6pMTtN4lCQAAAAAze7qLHdv7Tkhw2hdQ+4oSQAAAACa3aiESDkC7Dp29nPtOXbO7DiNQkkCAAAA0OwcgXaN7RMpSXqzlQ25oyQBAAAAaBETE6MlSev3nTQ5SeP4mx0AAAAAgDWN6dNFT//3QN355X2TWgtKEgAAAIAWERLor6mpcWbHaDSG2wEAAACAB0oSAAAAAHigJAEAAACAB0oSAAAAAHigJAEAAACAB0oSAAAAAHigJAEAAACAB0oSAAAAAHigJAEAAACAB0oSAAAAAHigJAEAAACAB0oSAAAAAHigJAEAAACAB0oSAAAAAHjwNztASzMMQ5JUU1NjchIAAAAAZrraCa52hBuxfEmqra2VJMXFxZmcBAAAAMDtoLa2VhERETd83WZ8VY1q5Vwul44fP66wsDDZbDZTs9TU1CguLk5HjhxReHi4qVnQNnDMwZc43uBrHHPwJY43azAMQ7W1tYqJiZGf342vPLL8mSQ/Pz/FxsaaHcNLeHg4f7jgUxxz8CWON/gaxxx8ieOt9bvZGaSrmLgBAAAAADxQkgAAAADAAyXJh4KCgvTEE08oKCjI7ChoIzjm4Escb/A1jjn4Esdb22L5iRsAAAAAoDE4kwQAAAAAHihJAAAAAOCBkgQAAAAAHihJAAAAAOCBkuRDzz33nHr06KHg4GClpaVp+/btZkeCBS1cuFBDhgxRWFiYIiMjddddd2n//v1mx0IbsmjRItlsNs2ePdvsKLCoY8eO6Yc//KE6deokh8OhxMRE7dy50+xYsKiGhgY9/vjj6tmzpxwOh+Lj4/Xb3/5WzH1mbZQkHykqKlJubq6eeOIJ7dq1S0lJScrIyFB1dbXZ0WAxGzZs0MyZM7Vt2zatX79ely5d0p133qn6+nqzo6EN2LFjh/785z9r4MCBZkeBRZ05c0bp6ekKCAjQunXrtG/fPi1evFgdOnQwOxosqqCgQMuWLVNhYaEqKipUUFCgp59+WkuXLjU7GloQU4D7SFpamoYMGaLCwkJJksvlUlxcnH7+858rLy/P5HSwsn//+9+KjIzUhg0bNHLkSLPjwMLq6uo0aNAg/elPf9JTTz2l5ORkLVmyxOxYsJi8vDxt3rxZmzZtMjsK2ojvfve7ioqK0osvvuheds8998jhcOiVV14xMRlaEmeSfODixYt6//33NX78ePcyPz8/jR8/Xlu3bjUxGdqCc+fOSZI6duxochJY3cyZM/Wd73zH6+86oLmtWbNGqamp+v73v6/IyEilpKToL3/5i9mxYGHDhw9XaWmpDhw4IEn64IMPVFZWpszMTJOToSX5mx2gLTh16pQaGhoUFRXltTwqKkofffSRSanQFrhcLs2ePVvp6ekaMGCA2XFgYX/729+0a9cu7dixw+wosLiDBw9q2bJlys3N1a9+9Svt2LFDOTk5CgwM1LRp08yOBwvKy8tTTU2N+vTpI7vdroaGBi1YsEBZWVlmR0MLoiQBFjZz5kzt3btXZWVlZkeBhR05ckSzZs3S+vXrFRwcbHYcWJzL5VJqaqry8/MlSSkpKdq7d6+ef/55ShJaxKuvvqpVq1Zp9erV6t+/v5xOp2bPnq2YmBiOOQujJPlA586dZbfbdfLkSa/lJ0+eVNeuXU1KBavLzs7W2rVrtXHjRsXGxpodBxb2/vvvq7q6WoMGDXIva2ho0MaNG1VYWKgLFy7IbrebmBBWEh0drX79+nkt69u3r1577TWTEsHq5syZo7y8PP3gBz+QJCUmJuqTTz7RwoULKUkWxjVJPhAYGKjBgwertLTUvczlcqm0tFTDhg0zMRmsyDAMZWdnq7i4WO+++6569uxpdiRY3Lhx47Rnzx45nU73IzU1VVlZWXI6nRQkNKv09PRrbmtw4MABde/e3aREsLrz58/Lz8/7v8x2u10ul8ukRPAFziT5SG5urqZNm6bU1FQNHTpUS5YsUX19ve6//36zo8FiZs6cqdWrV+uNN95QWFiYTpw4IUmKiIiQw+EwOR2sKCws7Jpr3kJDQ9WpUyeuhUOz+8UvfqHhw4crPz9fU6dO1fbt2/XCCy/ohRdeMDsaLGrSpElasGCBunXrpv79+2v37t36wx/+oAceeMDsaGhBTAHuQ4WFhfrd736nEydOKDk5Wc8++6zS0tLMjgWLsdls113+0ksvafr06b4NgzZr9OjRTAGOFrN27VrNmzdPlZWV6tmzp3Jzc/XTn/7U7FiwqNraWj3++OMqLi5WdXW1YmJidO+992r+/PkKDAw0Ox5aCCUJAAAAADxwTRIAAAAAeKAkAQAAAIAHShIAAAAAeKAkAQAAAIAHShIAAAAAeKAkAQAAAIAHShIAAAAAeKAkAQAAAIAHShIAAM3svffek81m09mzZ82OAgBoAkoSAKDRpk+fLpvNpkWLFnktLykpkc1mMylV8+jRo4eWLFlidgwAgIkoSQCAJgkODlZBQYHOnDnj88++dOmSzz8TANB2UJIAAE0yfvx4de3aVQsXLrzpemVlZRoxYoQcDofi4uKUk5Oj+vp69+s2m00lJSVe72nfvr1WrFghSTp8+LBsNpuKioo0atQoBQcHa9WqVXK5XHryyScVGxuroKAgJScn6+2333Zv4+r7Xn/9dY0ZM0YhISFKSkrS1q1bG/U9bTabli9frrvvvlshISHq3bu31qxZ47XOW2+9pYSEBDkcDo0ZM0aHDx9u1H5YuXKl2rVrp8rKSvf6jzzyiPr06aPz5883Ki8A4NZRkgAATWK325Wfn6+lS5fq6NGj113nX//6lyZMmKB77rlH5eXlKioqUllZmbKzsxv9eXl5eZo1a5YqKiqUkZGhP/7xj1q8eLF+//vfq7y8XBkZGZo8ebJX0ZCkxx57TI8++qicTqcSEhJ077336vLly4367N/85jeaOnWqysvLNXHiRGVlZen06dOSpCNHjuh73/ueJk2aJKfTqZ/85CfKy8tr1H748Y9/7N7u5cuX9eabb2r58uVatWqVQkJCGr2vAAC3yAAAoJGmTZtmTJkyxTAMw/jWt75lPPDAA4ZhGEZxcbHh+U/Lgw8+aDz00ENe7920aZPh5+dnfP7554ZhGIYko7i42GudiIgI46WXXjIMwzAOHTpkSDKWLFnitU5MTIyxYMECr2VDhgwxHnnkEa/3LV++3P36hx9+aEgyKioqbvjdunfvbjzzzDPu55KMX//61+7ndXV1hiRj3bp1hmEYxrx584x+/fp5bWPu3LmGJOPMmTNfez+cPn3aiI2NNX72s58ZUVFR13w3AIDvcCYJAHBLCgoK9PLLL6uiouKa1z744AOtWLFC7dq1cz8yMjLkcrl06NChRn1Oamqq++eamhodP35c6enpXuukp6dfk2PgwIHun6OjoyVJ1dXVjfpsz22EhoYqPDzcvY2KigqlpaV5rT9s2DCv519nP3To0EEvvviili1bpvj4+GvORgEAfMff7AAAgNZt5MiRysjI0Lx58zR9+nSv1+rq6jRjxgzl5ORc875u3bpJunLNj2EYXq9db2KG0NDQJuULCAhw/3x15j2Xy9XkbVzdTmO28XX2gyRt3LhRdrtdVVVVqq+vV1hYWKNyAgCaByUJAHDLFi1apOTkZN1xxx1eywcNGqR9+/apV69eN3xvly5dVFVV5X5eWVn5lZMVhIeHKyYmRps3b9aoUaPcyzdv3qyhQ4c28Vs0Td++fa+ZyGHbtm1ez7/OftiyZYsKCgr0j3/8Q3PnzlV2drZefvnlFskMALg5htsBAG5ZYmKisrKy9Oyzz3otnzt3rrZs2aLs7Gw5nU5VVlbqjTfe8Jq4YezYsSosLNTu3bu1c+dOPfzww9ecubmeOXPmqKCgQEVFRdq/f7/y8vLkdDo1a9asZv9+N/Pwww+rsrJSc+bM0f79+7V69Wr3zHxXfdV+qK2t1Y9+9CPl5OQoMzNTq1atUlFRkf7+97/79LsAAK6gJAEAmsWTTz55zRC0gQMHasOGDTpw4IBGjBihlJQUzZ8/XzExMe51Fi9erLi4OI0YMUL33XefHn300a81o1tOTo5yc3P1y1/+UomJiXr77be1Zs0a9e7du9m/281069ZNr732mkpKSpSUlKTnn39e+fn5Xut81X6YNWuWQkND3e9LTExUfn6+ZsyYoWPHjvn0+wAAJJvxnwPBAQAAAKAN40wSAAAAAHigJAEAAACAB0oSAAAAAHigJAEAAACAB0oSAAAAAHigJAEAAACAB0oSAAAAAHigJAEAAACAB0oSAAAAAHigJAEAAACAB0oSAAAAAHj4f6I3rtUPjf0rAAAAAElFTkSuQmCC",
      "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(\"1st Order Recurrent Leaky: 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": 22,
   "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(\"1st Order Recurrent Leaky: 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": 23,
   "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",
    "with torch.no_grad():\n",
    "    test_net = Net()\n",
    "    test_net.load_state_dict(torch.load('ref_snn_rleaky.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",
    "    with torch.no_grad():\n",
    "        test_net = Net()\n",
    "        test_net.load_state_dict(torch.load('ref_snn_rleaky.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",
    "    del test_net\n",
    "    torch.cuda.empty_cache()\n",
    "\n",
    "\n",
    "print(\"Starting Output Layer Trial 3\")\n",
    "fc2_acc_loss_rec_3 = []\n",
    "\n",
    "with torch.no_grad():\n",
    "    test_net = Net()\n",
    "    test_net.load_state_dict(torch.load('ref_snn_rleaky.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",
    "    with torch.no_grad():\n",
    "        test_net = Net()\n",
    "        test_net.load_state_dict(torch.load('ref_snn_rleaky.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",
    "    del test_net\n",
    "    torch.cuda.empty_cache()\n",
    "\n",
    "print(\"Starting Output Layer Trial 4\")\n",
    "fc2_acc_loss_rec_4 = []\n",
    "\n",
    "with torch.no_grad():\n",
    "    test_net = Net()\n",
    "    test_net.load_state_dict(torch.load('ref_snn_rleaky.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",
    "    with torch.no_grad():\n",
    "        test_net = Net()\n",
    "        test_net.load_state_dict(torch.load('ref_snn_rleaky.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",
    "    del test_net\n",
    "    torch.cuda.empty_cache()\n",
    "\n",
    "\n",
    "print(\"Starting Output Layer Trial 5\")\n",
    "fc2_acc_loss_rec_5 = []\n",
    "\n",
    "with torch.no_grad():\n",
    "    test_net = Net()\n",
    "    test_net.load_state_dict(torch.load('ref_snn_rleaky.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",
    "    with torch.no_grad():\n",
    "        test_net = Net()\n",
    "        test_net.load_state_dict(torch.load('ref_snn_rleaky.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",
    "    del test_net\n",
    "    torch.cuda.empty_cache()\n",
    "\n",
    "\n",
    "print(\"Starting Output Layer Trial 6\")\n",
    "fc2_acc_loss_rec_6 = []\n",
    "\n",
    "with torch.no_grad():\n",
    "    test_net = Net()\n",
    "    test_net.load_state_dict(torch.load('ref_snn_rleaky.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",
    "    with torch.no_grad():\n",
    "        test_net = Net()\n",
    "        test_net.load_state_dict(torch.load('ref_snn_rleaky.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",
    "    del test_net\n",
    "    torch.cuda.empty_cache()\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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(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(\"1st Order Recurrent Leaky: 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": 25,
   "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_rleaky.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",
    "    with torch.no_grad():\n",
    "        test_net = Net()\n",
    "        test_net.load_state_dict(torch.load('ref_snn_rleaky.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",
    "    del test_net\n",
    "    torch.cuda.empty_cache()\n",
    "\n",
    "print(\"Starting Hidden Layer Trial 3\")\n",
    "fc1_acc_loss_rec_3 = []\n",
    "\n",
    "with torch.no_grad():\n",
    "    test_net = Net()\n",
    "    test_net.load_state_dict(torch.load('ref_snn_rleaky.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",
    "    with torch.no_grad():\n",
    "        test_net = Net()\n",
    "        test_net.load_state_dict(torch.load('ref_snn_rleaky.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",
    "    del test_net\n",
    "    torch.cuda.empty_cache()\n",
    "\n",
    "print(\"Starting Hidden Layer Trial 4\")\n",
    "fc1_acc_loss_rec_4 = []\n",
    "\n",
    "with torch.no_grad():\n",
    "    test_net = Net()\n",
    "    test_net.load_state_dict(torch.load('ref_snn_rleaky.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",
    "    with torch.no_grad():\n",
    "        test_net = Net()\n",
    "        test_net.load_state_dict(torch.load('ref_snn_rleaky.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",
    "    del test_net\n",
    "    torch.cuda.empty_cache()\n",
    "\n",
    "print(\"Starting Hidden Layer Trial 5\")\n",
    "fc1_acc_loss_rec_5 = []\n",
    "\n",
    "with torch.no_grad():\n",
    "    test_net = Net()\n",
    "    test_net.load_state_dict(torch.load('ref_snn_rleaky.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",
    "    with torch.no_grad():\n",
    "        test_net = Net()\n",
    "        test_net.load_state_dict(torch.load('ref_snn_rleaky.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",
    "    del test_net\n",
    "    torch.cuda.empty_cache()\n",
    "\n",
    "print(\"Starting Hidden Layer Trial 6\")\n",
    "fc1_acc_loss_rec_6 = []\n",
    "\n",
    "with torch.no_grad():\n",
    "    test_net = Net()\n",
    "    test_net.load_state_dict(torch.load('ref_snn_rleaky.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",
    "    with torch.no_grad():\n",
    "        test_net = Net()\n",
    "        test_net.load_state_dict(torch.load('ref_snn_rleaky.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)\n",
    "    del test_net\n",
    "    torch.cuda.empty_cache()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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(\"1st Order Recurrent Leaky: 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": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}