Tobigs20_6wk_NN_Adv_Assignment.ipynb

{
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  {
   "cell_type": "markdown",
   "id": "b0ba9b89",
   "metadata": {},
   "source": [
    "## NN Adv Assignment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "80f09603",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "### Pytorch\n",
    "\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "\n",
    "### TensorFlow\n",
    "\n",
    "import tensorflow as tf\n",
    "from tensorflow import keras\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(action='ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e8c1bab",
   "metadata": {},
   "source": [
    "### Load Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "defff792",
   "metadata": {},
   "outputs": [],
   "source": [
    "train = pd.read_csv('Train.csv')\n",
    "test = pd.read_csv('Test.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "ae6f6178",
   "metadata": {},
   "outputs": [
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       "   label  pixel1  pixel2  pixel3  pixel4  pixel5  pixel6  pixel7  pixel8  \\\n",
       "0      2       0       0       0       0       0       0       0       0   \n",
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       "\n",
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       "\n",
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     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "4e92830d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10"
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     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "train['label'].nunique()"
   ]
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  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "2133c848",
   "metadata": {},
   "outputs": [
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       "   label  pixel1  pixel2  pixel3  pixel4  pixel5  pixel6  pixel7  pixel8  \\\n",
       "0      0       0       0       0       0       0       0       0       9   \n",
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       "\n",
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       "\n",
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     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "test.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "35dc5b73",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = train.iloc[:, 1:].values\n",
    "y = train.iloc[:, 0].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "26c6d257",
   "metadata": {},
   "outputs": [
    {
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",
      "text/plain": [
       "<Figure size 2000x100 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pltsize = 1\n",
    "plt.figure(figsize=(20 * pltsize, pltsize))\n",
    "for idx in range(0, 20):\n",
    "  plt.subplot(1, 20, idx + 1)\n",
    "  plt.axis('off')\n",
    "  plt.imshow(X[idx].reshape(28, 28), cmap='gray_r')\n",
    "  plt.title(f'Class : {y[idx]}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "dbb3b988",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_test = test.iloc[:, 1:].values\n",
    "y_test = test.iloc[:, 0].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "9d06175b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x100 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pltsize = 1\n",
    "plt.figure(figsize=(20 * pltsize, pltsize))\n",
    "for idx in range(0, 20):\n",
    "  plt.subplot(1, 20, idx + 1)\n",
    "  plt.axis('off')\n",
    "  plt.imshow(X_test[idx].reshape(28, 28), cmap='gray_r')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c2df1b99",
   "metadata": {},
   "source": [
    "### Train-Test Split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "7b16076f",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "# stratify -> 클래스의 비율 유지\n",
    "X_train, X_val, y_train, y_val = train_test_split(X, y, test_size = 0.2, random_state = 16, stratify = y, shuffle = True)\n",
    "\n",
    "## Normalization ( 픽셀 값 0부터 255까지의 범위를 갖는 이미지 데이터를 0~1 사이의 범위로 스케일링)\n",
    "X_train = X_train / 255.0\n",
    "X_val = X_val / 255.0\n",
    "X_test = X_test / 255.0\n",
    "\n",
    "# 텐서 형태 데이터로 변환\n",
    "X_train = torch.FloatTensor(X_train)\n",
    "y_train = torch.LongTensor(y_train)\n",
    "\n",
    "X_val = torch.FloatTensor(X_val)\n",
    "y_val = torch.LongTensor(y_val)\n",
    "\n",
    "X_test = torch.FloatTensor(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "171b8eef",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cpu\n"
     ]
    }
   ],
   "source": [
    "if torch.cuda.is_available():\n",
    "  DEVICE = torch.device('cuda')\n",
    "else:\n",
    "  DEVICE = torch.device('cpu')\n",
    "\n",
    "print(DEVICE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "31358efa",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Batch Size는 조정 가능합니다.\n",
    "BATCH_SIZE = 512\n",
    "#Epoch는 고정해주세요.\n",
    "EPOCHS = 15"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "4edf60a0",
   "metadata": {},
   "outputs": [],
   "source": [
    "from torch.utils.data import Dataset\n",
    "from torch.utils.data import DataLoader\n",
    "\n",
    "class DataSet(Dataset):\n",
    "  def __init__(self, image, label = None): # 클래스의 생성자 메서드\n",
    "    super(DataSet, self).__init__()\n",
    "    self._image = image\n",
    "    self._label = label\n",
    "\n",
    "  def __len__(self): # 데이터셋의 총 데이터 개수 반환\n",
    "    return len(self._image)\n",
    "\n",
    "  def __getitem__(self, idx): # 주어진 인덱스 `idx`에 해당하는 데이터 반환\n",
    "    if self._label is None:\n",
    "      image = self._image[idx]\n",
    "      return image\n",
    "\n",
    "    else:\n",
    "      image = self._image[idx]\n",
    "      label = self._label[idx]\n",
    "\n",
    "      return image, label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "86b71bfd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 훈련, 검증, 테스트 데이터 -> 베채 단위로 로드하는 과정\n",
    "train_dataset = DataSet(X_train, y_train)\n",
    "train_loader = DataLoader(train_dataset, batch_size = BATCH_SIZE, shuffle = True, drop_last = False)\n",
    "\n",
    "val_dataset = DataSet(X_val, y_val)\n",
    "val_loader = DataLoader(val_dataset, batch_size = BATCH_SIZE, shuffle = True, drop_last = False)\n",
    "\n",
    "test_dataset = DataSet(X_test)\n",
    "test_loader = DataLoader(test_dataset, batch_size = BATCH_SIZE, shuffle = False, drop_last = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "6f7c828e",
   "metadata": {},
   "outputs": [],
   "source": [
    "def train(model, train_loader): # 훈련함수\n",
    "  model.train()\n",
    "  train_loss = 0\n",
    "  correct = 0\n",
    "\n",
    "  for image, label in train_loader:\n",
    "    image = image.to(DEVICE)\n",
    "    label = label.to(DEVICE)\n",
    "    optimizer.zero_grad() # 옵티마이저 그래디언트 초기화\n",
    "    output = model(image)\n",
    "    loss = criterion(output, label) # 손실함수 계산\n",
    "    loss.backward()\n",
    "    optimizer.step()\n",
    "\n",
    "    train_loss += loss.item()\n",
    "    prediction = output.max(1, keepdim = True)[1]\n",
    "    correct += prediction.eq(label.view_as(prediction)).sum().item()\n",
    "      \n",
    "  train_loss /= len(train_loader)\n",
    "  train_accuracy = 100. * correct / len(train_loader.dataset)\n",
    "  return train_loss, train_accuracy\n",
    "\n",
    "def evaluate(model, test_loader): # 평가 함수 (모델 성능 평가)\n",
    "  model.eval()\n",
    "  test_loss = 0\n",
    "  correct = 0\n",
    "\n",
    "  with torch.no_grad():\n",
    "    for image, label in test_loader:\n",
    "      image = image.to(DEVICE)\n",
    "      label = label.to(DEVICE)\n",
    "      output = model(image)\n",
    "      test_loss += criterion(output, label).item()\n",
    "      prediction = output.max(1, keepdim = True)[1]\n",
    "      correct += prediction.eq(label.view_as(prediction)).sum().item()\n",
    "\n",
    "  test_loss /= len(test_loader)\n",
    "  test_accuracy = 100. * correct / len(test_loader.dataset)\n",
    "  return test_loss, test_accuracy\n",
    "\n",
    "def pred(model, test_loader): # 예측함수 (주어진 모델과 테스트 데이터 로더 사용)\n",
    "  model.eval()\n",
    "  pred_li = []\n",
    "\n",
    "  with torch.no_grad():\n",
    "    for image in test_loader:\n",
    "      image = image.to(DEVICE)\n",
    "      output = model(image)\n",
    "      pred_li.append(output.cpu().numpy().argmax(axis=1))\n",
    "\n",
    "  return np.concatenate(pred_li)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "366e39b2",
   "metadata": {},
   "source": [
    "## 직접 Network를 설계하고, 성능을 시험해보자.\n",
    "\n",
    "### 참고: https://wikidocs.net/63618"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "fed8fcfc",
   "metadata": {},
   "outputs": [],
   "source": [
    "class MyNet(nn.Module):\n",
    "    def __init__(self) -> None:\n",
    "        super(MyNet, self).__init__()\n",
    "        #여기에 layer들을 삽입: self.layer1 와 같이 Data Attribute로 nn 모듈의 Network 추가\n",
    "        #Ex. self.layer1 = nn.Linear(100, 10)\n",
    "        #자세한 것은 pytorch 공식문서 혹은 인터넷 예제 참고\n",
    "        self.fc1 = nn.Linear(1*28*28, 1024)\n",
    "        self.relu1 = nn.ReLU()\n",
    "        self.dropout1 = nn.Dropout(0.5) # Dropout Regularization\n",
    "        \n",
    "        self.fc2 = nn.Linear(1024, 512)\n",
    "        self.relu2 = nn.ReLU()\n",
    "        self.dropout2 = nn.Dropout(0.5)\n",
    "        \n",
    "        self.fc3 = nn.Linear(512, 256)\n",
    "        \n",
    "        # Xavier Initialization\n",
    "        nn.init.xavier_uniform_(self.fc1.weight)\n",
    "        nn.init.xavier_uniform_(self.fc2.weight)\n",
    "        nn.init.xavier_uniform_(self.fc3.weight)\n",
    "        \n",
    "        # Batch Normalization\n",
    "        self.bn1 = nn.BatchNorm1d(1024)\n",
    "        self.bn2 = nn.BatchNorm1d(512)\n",
    "        self.bn3 = nn.BatchNorm1d(256)\n",
    "    def forward(self, x):\n",
    "        #여기에 Forward 함수 삽입: __init__에서 추가한 Layer에 순전파시킴\n",
    "        #Ex. x = self.layer1(x)\n",
    "        x = self.fc1(x)\n",
    "        x = self.bn1(x)\n",
    "        x = self.relu1(x)\n",
    "        x = self.dropout1(x)\n",
    "\n",
    "        x = self.fc2(x)\n",
    "        x = self.bn2(x)\n",
    "        x = self.relu2(x)\n",
    "        x = self.dropout2(x)\n",
    "\n",
    "        x = self.fc3(x)\n",
    "        return x\n",
    "    \n",
    "model = MyNet().to(DEVICE)\n",
    "#적절한 optimizer를 선택: torch.optim의 적절한 Optimizer를 사용\n",
    "optimizer = torch.optim.Adam(model.parameters(), lr=0.001)\n",
    "#적절한 Loss function을 선택: nn 모듈의 Function을 사용\n",
    "criterion = nn.CrossEntropyLoss()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "14b4c502",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[EPOCH: 1], \tTrain Loss: 0.7616, \tTrain Accuracy: 77.10 %, \tVal Loss: 0.4243, \tVal Accuracy: 84.24 % \n",
      "\n",
      "[EPOCH: 2], \tTrain Loss: 0.4442, \tTrain Accuracy: 83.99 %, \tVal Loss: 0.3893, \tVal Accuracy: 85.85 % \n",
      "\n",
      "[EPOCH: 3], \tTrain Loss: 0.3972, \tTrain Accuracy: 85.56 %, \tVal Loss: 0.3544, \tVal Accuracy: 87.17 % \n",
      "\n",
      "[EPOCH: 4], \tTrain Loss: 0.3666, \tTrain Accuracy: 86.70 %, \tVal Loss: 0.3533, \tVal Accuracy: 86.70 % \n",
      "\n",
      "[EPOCH: 5], \tTrain Loss: 0.3457, \tTrain Accuracy: 87.32 %, \tVal Loss: 0.3526, \tVal Accuracy: 86.94 % \n",
      "\n",
      "[EPOCH: 6], \tTrain Loss: 0.3301, \tTrain Accuracy: 87.90 %, \tVal Loss: 0.3197, \tVal Accuracy: 88.15 % \n",
      "\n",
      "[EPOCH: 7], \tTrain Loss: 0.3173, \tTrain Accuracy: 88.43 %, \tVal Loss: 0.3157, \tVal Accuracy: 88.38 % \n",
      "\n",
      "[EPOCH: 8], \tTrain Loss: 0.3057, \tTrain Accuracy: 88.66 %, \tVal Loss: 0.3149, \tVal Accuracy: 88.13 % \n",
      "\n",
      "[EPOCH: 9], \tTrain Loss: 0.2924, \tTrain Accuracy: 89.21 %, \tVal Loss: 0.3075, \tVal Accuracy: 88.72 % \n",
      "\n",
      "[EPOCH: 10], \tTrain Loss: 0.2875, \tTrain Accuracy: 89.29 %, \tVal Loss: 0.3244, \tVal Accuracy: 87.58 % \n",
      "\n",
      "[EPOCH: 11], \tTrain Loss: 0.2775, \tTrain Accuracy: 89.64 %, \tVal Loss: 0.2937, \tVal Accuracy: 89.10 % \n",
      "\n",
      "[EPOCH: 12], \tTrain Loss: 0.2702, \tTrain Accuracy: 90.10 %, \tVal Loss: 0.3095, \tVal Accuracy: 88.43 % \n",
      "\n",
      "[EPOCH: 13], \tTrain Loss: 0.2628, \tTrain Accuracy: 90.29 %, \tVal Loss: 0.2966, \tVal Accuracy: 89.08 % \n",
      "\n",
      "[EPOCH: 14], \tTrain Loss: 0.2580, \tTrain Accuracy: 90.38 %, \tVal Loss: 0.3028, \tVal Accuracy: 89.10 % \n",
      "\n",
      "[EPOCH: 15], \tTrain Loss: 0.2499, \tTrain Accuracy: 90.80 %, \tVal Loss: 0.2910, \tVal Accuracy: 89.20 % \n",
      "\n"
     ]
    },
    {
     "data": {
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SGJ2cb8LLy8vJlUhtOvk8NZ+IiIiIc6iNJXWlttp5Cr5ERKRZUdf7pkXPU0REpGHQv8lS22rrvykFXyIiIiIiIiIi0iQp+BIREWmGoqOjeeWVV5xdhoiIiEiTofZVw6TgS0REpAEzmUzn3GbNmnVR1928eTN/+MMfLqm2q6++munTp1/SNURERETqW0NuX5308ccfYzabuffee2vles2ZVnUUERFpwJKSkhzff/LJJzz55JMcOHDAsc/Hx8fxvd1ux2q14up6/n/eQ0NDa7dQERERkUaiMbSv3n33XR555BH+/e9/8/LLL+Ph4VFr166p0tJS3N3dnfb5l0o9vkRERBqw8PBwx+bv74/JZHK83r9/P76+vnz77bf06dMHi8XCjz/+SGxsLNdffz1hYWH4+PjQt29fvv/++yrXPb0rvslk4j//+Q/jxo3Dy8uLjh07snTp0kuq/YsvvqBbt25YLBaio6N5+eWXqxx/88036dixIx4eHoSFhTFhwgTHsc8//5wePXrg6elJcHAww4cPp6Cg4JLqEREREYGG376Ki4vjp59+4rHHHiMmJobFixefcc78+fMd7ayIiAjuu+8+x7Hs7Gz++Mc/EhYWhoeHB927d+frr78GYNasWfTu3bvKtV555RWio6Mdr6dOncoNN9zAc889R2RkJJ06dQLggw8+4IorrsDX15fw8HBuvvlmUlNTq1xrz549XHfddfj5+eHr68tVV11FbGws69atw83NjeTk5CrnT58+nauuuuq8fyaXQsGXiIg0W3a7ncLS8nrf7HZ7rd7HY489xvPPP8++ffvo2bMn+fn5jBkzhtWrV/Prr78yatQoxo4dy7Fjx855naeffpqJEyeyc+dOxowZwy233EJmZuZF1bR161YmTpzI5MmT2bVrF7NmzeKJJ55gwYIFAGzZsoW//OUvPPPMMxw4cIAVK1YwZMgQwPgt7JQpU7jzzjvZt28fa9as4cYbb6z1PzcRERGpfc5qX9V2G8uZ7av33nuP3/72t/j7+3Prrbfy7rvvVjk+b9487r33Xv7whz+wa9culi5dSocOHQCw2WyMHj2aDRs28OGHH7J3716ef/55zGZzje5/9erVHDhwgFWrVjlCs7KyMmbPns2OHTv48ssviY+PZ+rUqY73nDhxgiFDhmCxWPjhhx/YunUrd955J+Xl5QwZMoR27drxwQcfOM4vKytj4cKF3HnnnTWqraY01FFERJqtojIrXZ9cWe+fu/eZkXi5194/wc888wwjRoxwvA4KCqJXr16O17Nnz2bJkiUsXbq0ym8DTzd16lSmTJkCwD/+8Q9effVVNm3axKhRo2pc09y5cxk2bBhPPPEEADExMezdu5cXX3yRqVOncuzYMby9vbnuuuvw9fWlTZs2XHbZZYARfJWXl3PjjTfSpk0bAHr06FHjGkRERKT+Oat9BbXbxnJW+8pms7FgwQJee+01ACZPnsyDDz5IXFwcbdu2BeDZZ5/lwQcf5K9//avjfX379gXg+++/Z9OmTezbt4+YmBgA2rVrV+P79/b25j//+U+VIY6nBlTt2rXj1VdfpW/fvuTn5+Pj48Mbb7yBv78/ixYtws3NDcBRA8Bdd93Fe++9x8MPPwzAsmXLKC4uZuLEiTWurybU40tERKSRu+KKK6q8zs/P56GHHqJLly4EBATg4+PDvn37zvsbyZ49ezq+9/b2xs/P74zu6xdq3759DBo0qMq+QYMGcejQIaxWKyNGjKBNmza0a9eO2267jYULF1JYWAhAr169GDZsGD169OCmm27inXfeISsr66LqEBEREbkYzmpfrVq1ioKCAsaMGQNASEgII0aMYP78+QCkpqaSmJjIsGHDqn3/9u3badWqVZXA6WL06NHjjHm9tm7dytixY2ndujW+vr4MHToUwPFnsH37dq666ipH6HW6qVOncvjwYX7++WcAFixYwMSJE/H29r6kWs9HPb5ERKTZ8nQzs/eZkU753Np0emPhoYceYtWqVbz00kt06NABT09PJkyYQGlp6Tmvc3ojxWQyYbPZarXWk3x9fdm2bRtr1qzhu+++48knn2TWrFls3ryZgIAAVq1axU8//cR3333Ha6+9xt///nd++eUXx286RUREpGFyVvvq5GfXFme1r959910yMzPx9PR07LPZbOzcuZOnn366yv7qnO+4i4vLGUNCy8rKzjjv9PsvKChg5MiRjBw5koULFxIaGsqxY8cYOXKk48/gfJ/dokULxo4dy3vvvUfbtm359ttvWbNmzTnfUxsUfImISLNlMplqdchhQ7FhwwamTp3KuHHjAOM3lPHx8fVaQ5cuXdiwYcMZdcXExDjmmHB1dWX48OEMHz6cp556ioCAAH744QduvPFGTCYTgwYNYtCgQTz55JO0adOGJUuWMGPGjHq9DxEREakZta8uXkZGBl999RWLFi2iW7dujv1Wq5XBgwfz3XffMWrUKKKjo1m9ejXXXHPNGdfo2bMnx48f5+DBg9X2+goNDSU5ORm73Y7JZAKMnlrns3//fjIyMnj++eeJiooCjDlbT//s999/n7KysrP2+rr77ruZMmUKrVq1on379meMEKgLTe+/RhERkWauY8eOLF68mLFjx2IymXjiiSfqrOdWWlraGY2liIgIHnzwQfr27cvs2bOZNGkSGzdu5PXXX+fNN98E4Ouvv+bIkSMMGTKEwMBAvvnmG2w2G506deKXX35h9erVXHvttbRo0YJffvmFtLQ0unTpUif3ICIiInI+9dG++uCDDwgODmbixImOUOqkMWPG8O677zJq1ChmzZrFPffcQ4sWLRg9ejR5eXls2LCB+++/n6FDhzJkyBDGjx/P3Llz6dChA/v378dkMjFq1Ciuvvpq0tLSeOGFF5gwYQIrVqzg22+/xc/P75y1tW7dGnd3d1577TXuuecedu/ezezZs6ucc9999/Haa68xefJkZs6cib+/Pz///DP9+vVzrAw5cuRI/Pz8ePbZZ3nmmWdq9c/vbDTHl4iISBMzd+5cAgMDGThwIGPHjmXkyJFcfvnldfJZH330EZdddlmV7Z133uHyyy/n008/ZdGiRXTv3p0nn3ySZ555xrHyT0BAAIsXL+Y3v/kNXbp04a233uLjjz+mW7du+Pn5sW7dOsaMGUNMTAyPP/44L7/8MqNHj66TexARERE5n/poX82fP59x48adEXoBjB8/nqVLl5Kens4dd9zBK6+8wptvvkm3bt247rrrOHTokOPcL774gr59+zJlyhS6du3KI488gtVqBYxe+W+++SZvvPEGvXr1YtOmTTz00EPnrS00NJQFCxbw2Wef0bVrV55//nleeumlKucEBwfzww8/kJ+fz9ChQ+nTpw/vvPNOld5fLi4uTJ06FavVyu23336xf1Q1YrI3grXBc3Nz8ff3Jycn57wppIiISHWKi4sdq+F4eHg4uxypJed6rmo/NA56TiIijZvaWFJTd911F2lpaSxduvSc59VWO09DHUVEREREREREpE7l5OSwa9cuPvroo/OGXrVJwZeIiIiIiIiIiNSp66+/nk2bNnHPPfcwYsSIevtcBV8iIiIiIiIiIlKn1qxZ45TP1eT2IiIiIiIiIiLSJCn4EhERERERERGRJknBl4iIiIiIiIiINEkKvkREREREREREpElS8CUiIiIiIiIiIk2Sgi8REREREREREWmSFHyJiIg0A1dffTXTp093dhkiIiIiTYbaV42Dgi8REZEGbOzYsYwaNaraY+vXr8dkMrFz585L/pwFCxYQEBBwydcRERERaejqq311UlFREUFBQYSEhFBSUlJr15ULo+BLRESkAbvrrrtYtWoVx48fP+PYe++9xxVXXEHPnj2dUJmIiIhI41Tf7asvvviCbt260blzZ7788stau+7FsNvtlJeXO7WG+qbgS0REpAG77rrrCA0NZcGCBVX25+fn89lnn3HXXXeRkZHBlClTaNmyJV5eXvTo0YOPP/64Vus4duwY119/PT4+Pvj5+TFx4kRSUlIcx3fs2ME111yDr68vfn5+9OnThy1btgBw9OhRxo4dS2BgIN7e3nTr1o1vvvmmVusTERERuVD13b569913ufXWW7n11lt59913zzi+Z88errvuOvz8/PD19eWqq64iNjbWcXz+/Pl069YNi8VCREQE9913HwDx8fGYTCa2b9/uODc7OxuTycSaNWsAWLNmDSaTiW+//ZY+ffpgsVj48ccfiY2N5frrrycsLAwfHx/69u3L999/X6WukpISHn30UaKiorBYLHTo0IF3330Xu91Ohw4deOmll6qcv337dkwmE4cPH76oP6e64ursAkRERJzGboeywvr/XDcvMJku6FRXV1duv/12FixYwN///ndMFe/77LPPsFqtTJkyhfz8fPr06cOjjz6Kn58fy5cv57bbbqN9+/b069fvksu12WyO0Gvt2rWUl5dz7733MmnSJEej6pZbbuGyyy5j3rx5mM1mtm/fjpubGwD33nsvpaWlrFu3Dm9vb/bu3YuPj88l1yUiIiINkLPaV3DBbaz6bF/FxsayceNGFi9ejN1u54EHHuDo0aO0adMGgBMnTjBkyBCuvvpqfvjhB/z8/NiwYYOjV9a8efOYMWMGzz//PKNHjyYnJ4cNGzbU+I/mscce46WXXqJdu3YEBgaSkJDAmDFjeO6557BYLPz3v/9l7NixHDhwgNatWwNw++23s3HjRl599VV69epFXFwc6enpmEwm7rzzTt577z0eeughx2e89957DBkyhA4dOtS4vrqk4EtERJqvskL4R2T9f+7fEsHd+4JPv/POO3nxxRdZu3YtV199NWA0LMaPH4+/vz/+/v5VGh33338/K1eu5NNPP62V4Gv16tXs2rWLuLg4oqKiAPjvf/9Lt27d2Lx5M3379uXYsWM8/PDDdO7cGYCOHTs63n/s2DHGjx9Pjx49AGjXrt0l1yQiIiINlLPaV1CjNlZ9ta/mz5/P6NGjCQwMBGDkyJG89957zJo1C4A33ngDf39/Fi1a5PilYUxMjOP9zz77LA8++CB//etfHfv69u17wZ9/0jPPPMOIESMcr4OCgujVq5fj9ezZs1myZAlLly7lvvvu4+DBg3z66aesWrWK4cOHA1XbcFOnTuXJJ59k06ZN9OvXj7KyMj766KMzeoE1BBrqKCIi0sB17tyZgQMHMn/+fAAOHz7M+vXrueuuuwCwWq3Mnj2bHj16EBQUhI+PDytXruTYsWO18vn79u0jKirKEXoBdO3alYCAAPbt2wfAjBkzuPvuuxk+fDjPP/98le75f/nLX3j22WcZNGgQTz31VK1OFisiIiJyMeqjfWW1Wnn//fe59dZbHftuvfVWFixYgM1mA4zhgVdddZUj9DpVamoqiYmJDBs27FJuFYArrriiyuv8/HweeughunTpQkBAAD4+Puzbt89xf9u3b8dsNjN06NBqrxcZGclvf/tbx5/fsmXLKCkp4aabbrrkWmubenyJiEjz5eZl/GbQGZ9bQ3fddRf3338/b7zxBu+99x7t27d3NERefPFF/vWvf/HKK6/Qo0cPvL29mT59OqWlpbVd+VnNmjWLm2++meXLl/Ptt9/y1FNPsWjRIsaNG8fdd9/NyJEjWb58Od999x1z5szh5Zdf5v7776+3+kRERKSeOKt9dfKza6Cu21crV67kxIkTTJo0qcp+q9XK6tWrGTFiBJ6enmd9/7mOAbi4GH2Z7Ha7Y19ZWVm153p7V+0J99BDD7Fq1SpeeuklOnTogKenJxMmTHDc3/k+G+Duu+/mtttu45///CfvvfcekyZNwsur5u3cuqYeXyIi0nyZTEZ3+PreLnB+r1NNnDgRFxcXPvroI/773/9y5513Ouaj2LBhA9dffz233norvXr1ol27dhw8eLDW/pi6dOlCQkICCQkJjn179+4lOzubrl27OvbFxMTwwAMP8N1333HjjTfy3nvvOY5FRUVxzz33sHjxYh588EHeeeedWqtPREREGhBnta8uoo1V1+2rd999l8mTJ7N9+/Yq2+TJkx2T3Pfs2ZP169dXG1j5+voSHR3N6tWrq71+aGgoAElJSY59p050fy4bNmxg6tSpjBs3jh49ehAeHk58fLzjeI8ePbDZbKxdu/as1xgzZgze3t7MmzePFStWcOedd17QZ9c39fgSERFpBHx8fJg0aRIzZ84kNzeXqVOnOo517NiRzz//nJ9++onAwEDmzp1LSkpKlVDqQlit1jMaSxaLheHDh9OjRw9uueUWXnnlFcrLy/nzn//M0KFDueKKKygqKuLhhx9mwoQJtG3bluPHj7N582bGjx8PwPTp0xk9ejQxMTFkZWXxv//9jy5dulzqH4mIiIjIJanL9lVaWhrLli1j6dKldO/evcqx22+/nXHjxpGZmcl9993Ha6+9xuTJk5k5cyb+/v78/PPP9OvXj06dOjFr1izuueceWrRowejRo8nLy2PDhg3cf//9eHp6cuWVV/L888/Ttm1bUlNTefzxxy+ovo4dO7J48WLGjh2LyWTiiSeecAy/BIiOjuaOO+7gzjvvdExuf/ToUVJTU5k4cSIAZrOZqVOnMnPmTDp27MiAAQMu6LPrm3p8iYiINBJ33XUXWVlZjBw5ksjIykljH3/8cS6//HJGjhzJ1VdfTXh4ODfccEONr5+fn89ll11WZTvZGPrqq68IDAxkyJAhDB8+nHbt2vHJJ58ARqMnIyOD22+/nZiYGCZOnMjo0aN5+umnASNQu/fee+nSpQujRo0iJiaGN998s1b+TOTC5eXlMX36dNq0aYOnpycDBw5k8+bNjuMmk6na7cUXXzzrNWfNmnXG+ScXOBAREWkM6qp99d///hdvb+9q5+caNmwYnp6efPjhhwQHB/PDDz+Qn5/P0KFD6dOnD++8845jzq877riDV155hTfffJNu3bpx3XXXcejQIce15s+fT3l5OX369GH69Ok8++yzF1Tf3LlzCQwMZODAgYwdO5aRI0dy+eWXVzln3rx5TJgwgT//+c907tyZ3//+9xQUFFQ556677qK0tJRp06Zd8J9NfTPZTx0M2kDl5ubi7+9PTk4Ofn5+zi5HREQaoeLiYuLi4mjbti0eHh7OLkdqybmeq9oPVU2aNIndu3czb948IiMj+fDDD/nnP//J3r17admyJcnJyVXO//bbb7nrrrs4fPjwWVfinDVrFp9//jnff/+9Y5+rqyshISEXXJeek4hI46Y2VvO2fv16hg0bRkJCAmFhYbV67dpq52moo4iIiEgTV1RUxBdffMFXX33FkCFDACO0WrZsGfPmzePZZ58lPDy8ynu++uorrrnmmrOGXie5urqe8V4RERFp2kpKSkhLS2PWrFncdNNNtR561SYNdRQRERFp4srLy7FarWf8ttTT05Mff/zxjPNTUlJYvny5Y0n3czl06BCRkZG0a9eOW2655bzLvJeUlJCbm1tlExERkcbl448/pk2bNmRnZ/PCCy84u5xzUvAlIiIi0sT5+voyYMAAZs+eTWJiIlarlQ8//JCNGzdWWQnqpPfffx9fX19uvPHGc163f//+LFiwgBUrVjBv3jzi4uK46qqryMvLO+t75syZg7+/v2OLioq65PsTERGR+jV16lSsVitbt26lZcuWzi7nnBR8iYiIiDQDH3zwAXa7nZYtW2KxWHj11VeZMmUKLi5nNgfnz5/PLbfcct65WkaPHs1NN91Ez549GTlyJN988w3Z2dl8+umnZ33PzJkzycnJcWwJCQmXfG8iIiIiZ6M5vkRERESagfbt27N27VoKCgrIzc0lIiKCSZMmnTGH1/r16zlw4IBj1c6aCAgIICYmhsOHD5/1HIvFgsViqfG1RURERC6GenyJiEizYrPZnF2C1CI9z5rz9vYmIiKCrKwsVq5cyfXXX1/l+LvvvkufPn3o1atXja+dn59PbGwsERERtVWuiIg0Evo3WWpbbf03pR5fIiLSLLi7u+Pi4kJiYiKhoaG4u7tjMpmcXZZcJLvdTmlpKWlpabi4uODu7u7skhq8lStXYrfb6dSpE4cPH+bhhx+mc+fOTJs2zXFObm4un332GS+//HK11xg2bBjjxo3jvvvuA+Chhx5i7NixtGnThsTERJ566inMZjNTpkypl3sSERHnUxtLalttt/MUfImISLPg4uJC27ZtSUpKIjEx0dnlSC3x8vKidevW1c5TJVXl5OQwc+ZMjh8/TlBQEOPHj+e5557Dzc3Ncc6iRYuw2+1nDa5iY2NJT093vD5+/DhTpkwhIyOD0NBQBg8ezM8//0xoaGid34+IiDQMamNJXamtdp7Jbrfba6mmOpObm4u/vz85OTn4+fk5uxwREWnE7HY75eXlWK1WZ5cil8hsNuPq6nrW3yqr/dA46DmJiDQNamNJbarNdp56fImISLNiMplwc3Or0stFRERERC6N2ljSUGlcgIiIiIiIiIiINEkKvkREREREREREpElS8CUiIiIiIiIiIk2Sgi8REREREREREWmSFHyJiIiIiIiIiEiTpOBLRERERERERESaJAVfIiIiIiIiIiLSJCn4EhERERERERGRJknBl4iIiIiIiIiINEkKvkREREREREREpElS8CUiIiIiIiIiIk2Sgi8REREREREREWmSFHyJiIiIiIiIiEiTpOBLRERERERERESaJAVfIiIiIiIiIiLSJCn4EhERERERERGRJknBl4iIiIiIiIiINEkXFXy98cYbREdH4+HhQf/+/dm0adM5z3/llVfo1KkTnp6eREVF8cADD1BcXHxRBYuIiIiIiIiIiFyIGgdfn3zyCTNmzOCpp55i27Zt9OrVi5EjR5Kamlrt+R999BGPPfYYTz31FPv27ePdd9/lk08+4W9/+9slFy8iIiIiIiIiInI2NQ6+5s6dy+9//3umTZtG165deeutt/Dy8mL+/PnVnv/TTz8xaNAgbr75ZqKjo7n22muZMmXKeXuJiYiIiIiIiIiIXIoaBV+lpaVs3bqV4cOHV17AxYXhw4ezcePGat8zcOBAtm7d6gi6jhw5wjfffMOYMWPO+jklJSXk5uZW2URERERERERERGrCtSYnp6enY7VaCQsLq7I/LCyM/fv3V/uem2++mfT0dAYPHozdbqe8vJx77rnnnEMd58yZw9NPP12T0kRERERERERERKqo81Ud16xZwz/+8Q/efPNNtm3bxuLFi1m+fDmzZ88+63tmzpxJTk6OY0tISKjrMkVEREREREREpImpUY+vkJAQzGYzKSkpVfanpKQQHh5e7XueeOIJbrvtNu6++24AevToQUFBAX/4wx/4+9//jovLmdmbxWLBYrHUpDQREREREREREZEqatTjy93dnT59+rB69WrHPpvNxurVqxkwYEC17yksLDwj3DKbzQDY7faa1isiIiIiIiIiInJBatTjC2DGjBnccccdXHHFFfTr149XXnmFgoICpk2bBsDtt99Oy5YtmTNnDgBjx45l7ty5XHbZZfTv35/Dhw/zxBNPMHbsWEcAJiIiIiIiIiIiUttqHHxNmjSJtLQ0nnzySZKTk+nduzcrVqxwTHh/7NixKj28Hn/8cUwmE48//jgnTpwgNDSUsWPH8txzz9XeXYiIiIiIiIiIiJzGZG8E4w1zc3Px9/cnJycHPz8/Z5cjIiIijYDaD42DnpOIiIjUVE3aD3W+qqOIiIiIiIiIiIgzKPgSEREREREREZEmScGXiIiIiIiIiIg0SQq+RERERERERESkSVLwJSIiIiIiIiIiTZKCLxERERERERERaZIUfAFlVhsZ+SXOLkNERERERERERGpRsw++lu5I5PJnVvHkV3ucXYqIiIiIiIiIiNSiZh98tQr0JK+knPWH0ii32pxdjoiIiEidyMvLY/r06bRp0wZPT08GDhzI5s2bHcenTp2KyWSqso0aNeq8133jjTeIjo7Gw8OD/v37s2nTprq8DREREZEaafbBV69WAfh7upFbXM6O49nOLkdERESkTtx9992sWrWKDz74gF27dnHttdcyfPhwTpw44Thn1KhRJCUlObaPP/74nNf85JNPmDFjBk899RTbtm2jV69ejBw5ktTU1Lq+HREREZEL0uyDL7OLias6hgCw9mC6k6sRERERqX1FRUV88cUXvPDCCwwZMoQOHTowa9YsOnTowLx58xznWSwWwsPDHVtgYOA5rzt37lx+//vfM23aNLp27cpbb72Fl5cX8+fPr+tbEhEREbkgzT74AhgaEwrA2oNpTq5EREREpPaVl5djtVrx8PCost/T05Mff/zR8XrNmjW0aNGCTp068ac//YmMjIyzXrO0tJStW7cyfPhwxz4XFxeGDx/Oxo0ba/8mRERERC6Cgi8qg6+dx7PJLCh1cjUiIiIitcvX15cBAwYwe/ZsEhMTsVqtfPjhh2zcuJGkpCTAGOb43//+l9WrV/N///d/rF27ltGjR2O1Wqu9Znp6OlarlbCwsCr7w8LCSE5OPmstJSUl5ObmVtlERERE6oqCL6CFnwddIvyw22H9IfX6EhERkabngw8+wG6307JlSywWC6+++ipTpkzBxcVoDk6ePJnf/e539OjRgxtuuIGvv/6azZs3s2bNmlqtY86cOfj7+zu2qKioWr2+iIiIyKkUfFUYEnNyni8FXyIiItL0tG/fnrVr15Kfn09CQgKbNm2irKyMdu3aVXt+u3btCAkJ4fDhw9UeDwkJwWw2k5KSUmV/SkoK4eHhZ61j5syZ5OTkOLaEhISLvykRERGR81DwVeHkcMd1B9Ox2exOrkZERESkbnh7exMREUFWVhYrV67k+uuvr/a848ePk5GRQURERLXH3d3d6dOnD6tXr3bss9lsrF69mgEDBpz18y0WC35+flU2ERERkbqi4KvCFW2C8HI3k55fwt4kzTUhIiIiTcvKlStZsWIFcXFxrFq1imuuuYbOnTszbdo08vPzefjhh/n555+Jj49n9erVXH/99XTo0IGRI0c6rjFs2DBef/11x+sZM2bwzjvv8P7777Nv3z7+9Kc/UVBQwLRp05xxiyIiIiJncHV2AQ2Fu6sLA9uH8P2+FNYeTKN7S39nlyQiIiJSa3Jycpg5cybHjx8nKCiI8ePH89xzz+Hm5kZ5eTk7d+7k/fffJzs7m8jISK699lpmz56NxWJxXCM2Npb09HTH60mTJpGWlsaTTz5JcnIyvXv3ZsWKFWdMeC8iIiLiLCa73d7gx/Xl5ubi7+9PTk5OnXaH/+Dnozzx5W76tQ3i0z+evYu+iIiINHz11X6QS6PnJCIiIjVVk/aDhjqeYmhHY56vbUezyCsuc3I1IiIiIiIiIiJyKRR8naJ1sBftQrwpt9n5KTbD2eWIiIiIiIiIiMglUPB1miEVqzuuPZjm5EpERERERERERORSKPg6zdBOFcHXgTQawfRnIiIiIiIiIiJyFgq+TnNl22DcXV04kV1EbFqBs8sREREREREREZGLpODrNJ7uZvq3DQI03FFEREREREREpDFT8FWNoZrnS0RERERERESk0VPwVY2TwdcvRzIoLrM6uRoREREREREREbkYCr6q0aGFD5H+HpSU2/j5SIazyxERERERERERkYug4KsaJpPJsbrjuoPpTq5GREREREREREQuhoKvs6ic5yvVyZWIiIiIiIiIiMjFUPB1FgM7hGB2MRGbVkBCZqGzyxERERERERERkRpS8HUWfh5u9GkdCMC6Q1rdUURERERERESksVHwdQ5DYkIAWHtAwZeIiIiIiIiISGOj4Oschsa0AOCn2AxKy21OrkZERERERERERGpCwdc5dIv0I9jbnfyScrYdy3J2OSIiIiIiIiIiUgMKvs7BxcXEEMfqjhruKCIiIiIiIiLSmCj4Oo+hJ4MvzfMlIiIiIiIiItKoKPg6j6s6hmAywd6kXFLzip1djoiIiIiIiIiIXCAFX+cR7GOhR0t/ANYfTHdyNSIiIiIiIiIicqEUfF2AoZrnS0RERERERESk0VHwdQFOBl/rD6VhtdmdXI2IiIiIiIiIiFwIBV8XoHdUAL4ermQVlrHrRI6zyxERERERERERkQug4OsCuJpdGNwhBNDqjiIiIiIiIiIijYWCrwtUOc9XqpMrERERERERERGRC6Hg6wINqQi+tidkk11Y6uRqRERERERERETkfBR8XaDIAE9iwnyw2eHHw+nOLkdERERERERERM5DwVcNnBzuuO6g5vkSEREREREREWnoFHzVwNCYFgCsPZiG3W53cjUiIiIiIiIiInIuCr5q4IroQDzdzKTklnAgJc/Z5YiIiIiIiIiIyDko+KoBDzczA9oHA7D2gIY7ioiIiIiIiIg0ZAq+amhIxxDAGO4oIiIiIiIiIiINl4KvGhrayZjna3N8JgUl5U6uRkREREREREREzkbBVw1FB3vROsiLMqudjbEZzi5HRERERERERETOQsFXDZlMJobGhAIa7igiIiIiIiIi0pAp+LoICr5ERERERERERBo+BV8XYUD7YNzMJo5lFhKfXuDsckREREREREREpBoKvi6Ct8WVvtFBgHp9iYiISOOQl5fH9OnTadOmDZ6engwcOJDNmzcDUFZWxqOPPkqPHj3w9vYmMjKS22+/ncTExHNec9asWZhMpipb586d6+N2RERERC6Igq+LpOGOIiIi0pjcfffdrFq1ig8++IBdu3Zx7bXXMnz4cE6cOEFhYSHbtm3jiSeeYNu2bSxevJgDBw7wu9/97rzX7datG0lJSY7txx9/rIe7EREREbkwrs4uoLEa2imUOd/uZ2NsBsVlVjzczM4uSURERKRaRUVFfPHFF3z11VcMGTIEMHprLVu2jHnz5vHss8+yatWqKu95/fXX6devH8eOHaN169Znvbarqyvh4eF1Wr+IiIjIxVKPr4vUKcyXMD8LRWVWtsRnObscERERkbMqLy/HarXi4eFRZb+np+dZe2jl5ORgMpkICAg457UPHTpEZGQk7dq145ZbbuHYsWO1VbaIiIjIJVPwdZFMJhNDOp4c7pjq5GpEREREzs7X15cBAwYwe/ZsEhMTsVqtfPjhh2zcuJGkpKQzzi8uLubRRx9lypQp+Pn5nfW6/fv3Z8GCBaxYsYJ58+YRFxfHVVddRV5e3lnfU1JSQm5ubpVNREREpK4o+LoEQztpni8RERFpHD744APsdjstW7bEYrHw6quvMmXKFFxcqjYHy8rKmDhxIna7nXnz5p3zmqNHj+amm26iZ8+ejBw5km+++Ybs7Gw+/fTTs75nzpw5+Pv7O7aoqKhauT8RERGR6ij4ugSDO4TgYoKDKfkkZhc5uxwRERGRs2rfvj1r164lPz+fhIQENm3aRFlZGe3atXOcczL0Onr0KKtWrTpnb6/qBAQEEBMTw+HDh896zsyZM8nJyXFsCQkJF31PIiIiIuej4OsSBHi50zsqAIB16vUlIiIijYC3tzcRERFkZWWxcuVKrr/+eqAy9Dp06BDff/89wcHBNb52fn4+sbGxREREnPUci8WCn59flU1ERESkrij4ukRDY1oAsO6Qgi8RERFpuFauXMmKFSuIi4tj1apVXHPNNXTu3Jlp06ZRVlbGhAkT2LJlCwsXLsRqtZKcnExycjKlpaWOawwbNozXX3/d8fqhhx5i7dq1xMfH89NPPzFu3DjMZjNTpkxxxi2KiIiInEHB1yU6Oc/X+kPplFttTq5GREREpHo5OTnce++9dO7cmdtvv53BgwezcuVK3NzcOHHiBEuXLuX48eP07t2biIgIx/bTTz85rhEbG0t6errj9fHjx5kyZQqdOnVi4sSJBAcH8/PPPxMaGuqMWxQRERE5g+vFvOmNN97gxRdfJDk5mV69evHaa6/Rr1+/s56fnZ3N3//+dxYvXkxmZiZt2rThlVdeYcyYMRddeEPRo6U/gV5uZBWWsT0hmyuig5xdkoiIiMgZJk6cyMSJE6s9Fh0djd1uP+814uPjq7xetGhRbZQmIiIiUmdq3OPrk08+YcaMGTz11FNs27aNXr16MXLkSFJTU6s9v7S0lBEjRhAfH8/nn3/OgQMHeOedd2jZsuUlF98QmF1MXNVRqzuKiIiIiIiIiDQ0NQ6+5s6dy+9//3umTZtG165deeutt/Dy8mL+/PnVnj9//nwyMzP58ssvGTRoENHR0QwdOpRevXpdcvENxZAYBV8iIiIiIiIiIg1NjYKv0tJStm7dyvDhwysv4OLC8OHD2bhxY7XvWbp0KQMGDODee+8lLCyM7t27849//AOr1XrWzykpKSE3N7fK1pAN6RgCwM7jOaTnlzi5GhERERERERERgRoGX+np6VitVsLCwqrsDwsLIzk5udr3HDlyhM8//xyr1co333zDE088wcsvv8yzzz571s+ZM2cO/v7+ji0qKqomZda7Fn4edI0wluL+8VD6ec4WEREREREREZH6UOerOtpsNlq0aMHbb79Nnz59mDRpEn//+9956623zvqemTNnkpOT49gSEhLqusxLdnJ1Rw13FBERERERERFpGGq0qmNISAhms5mUlJQq+1NSUggPD6/2PREREbi5uWE2mx37unTpQnJyMqWlpbi7u5/xHovFgsViqUlpTjc0JpR5a2JZdzANm82Oi4vJ2SWJiIiIiIiIiDRrNerx5e7uTp8+fVi9erVjn81mY/Xq1QwYMKDa9wwaNIjDhw9js9kc+w4ePEhERES1oVdjdXnrQHwsrmQUlLI3qWHPSSYiIiIiIiIi0hzUeKjjjBkzeOedd3j//ffZt28ff/rTnygoKGDatGkA3H777cycOdNx/p/+9CcyMzP561//ysGDB1m+fDn/+Mc/uPfee2vvLhoAd1cXBrYPBjTcUURERERERESkIajRUEeASZMmkZaWxpNPPklycjK9e/dmxYoVjgnvjx07hotLZZ4WFRXFypUreeCBB+jZsyctW7bkr3/9K48++mjt3UUDMbRTKN/tTWHtgTTuvaaDs8sREREREREREWnWTHa73e7sIs4nNzcXf39/cnJy8PPzc3Y5Z5WQWchVL/wPs4uJX58cgZ+Hm7NLEhERabYaS/uhudNzEhERkZqqSfuhzld1bE6igrxoF+qN1Wbnp8Ppzi5HRERERERERKRZU/BVy4bGhAKa50tERERERERExNkUfNUyR/B1II1GMIpURERERERERKTJUvBVy65sF4zF1YXEnGIOp+Y7uxwRERERERERkWZLwVct83Az079dMKDhjiIiIiIiIiIizqTgqw5oni8REREREREREedT8FUHTgZfv8RlUlRqdXI1IiIiIiIiIiLNk4KvOtA+1JuWAZ6Ultv4OS7D2eWIiIiIiIiIiDRLCr7qgMlkYminytUdRURERERERESk/in4qiNDOhrB1zrN8yUiIiIiIiIi4hQKvurIwA7BuLqYOJJewLGMQmeXIyIiIiIiIiLS7Cj4qiN+Hm5c3iYQgLWH1OtLRERERERERKS+KfiqQydXd9Q8XyIiIiIiIiIi9U/BVx06GXz9FJtOabnNydWIiIiIiIiIiDQvCr7qUNcIP0J8LBSWWtlyNNPZ5YiIiIiIiIiINCsKvuqQi4uJITEhAKw7mO7kakRERERERERE6obdbichs5Avth7n0c938puX1pCWV+LssnB1dgFN3dCYUBZvO8Hag2k8Nrqzs8sREREREREREblkdrudw6n5/BKXyeb4TDbFZZKUU1zlnC3xmYzuEeGkCg0KvurYVR1DMZlgX1IuKbnFhPl5OLskEREREREREZEaKbfa2JeUxy9xGWyKy2TL0SwyC0qrnOPqYqJHK3/6RQfRr20QfdsGOanaU2pydgFNXZC3Oz1b+rPjeA7rDqZx0xVRzi5JREREREREROScisus7Dyew6a4DDbFZ7E1PpOCUmuVczzcXLgsKpB+bYPo3zaI3q0D8HJvWFFTw6qmiRoaE8qO4zmsVfAlIiIiIiIiIg1Qfkk5245msSnOGLa4/Xg2peW2Kuf4erjS92RvruggerT0x921YU8fr+CrHgztFMqrPxxm/aF0rDY7ZheTs0sSERERERERkWYss6CUzfGZbI7LZFN8JnsSc7Ha7FXOCfGx0K9tYMXQxWA6hfs2ukxDwVc96NUqAD8PV3KKythxPJvLWwc6uyQRERERERERaUaScoocvbk2x2dyMCX/jHNaBXrSr22QY46utiHemEyNK+g6nYKveuBqduGqjqEs35XE2gNpCr5EREREREREpM7Y7XbiMwrZHJfJL3GZbIrPICGz6IzzOrbwoW/F/Fx9o4OIDPB0QrV1S8FXPRkaUxF8HUzjgRExzi5HRERERERERBqRknIrhSVW8kvKKSw1vhaUlFNYWk5+iZXC0nLyisvZm5TLprhM0vJKqrzfxQTdIv0d83P1jQ4k2MfipLupPwq+6smQmFAAdh7PJquglEBvdydXJCIiIiIiIiJ1wW63U1hqpaC0nIISKwWOkOpkcGWEVQUl5RXnlJ8l1Ko8v8xqP/8Hn8Ld7ELvqAD6tg2kX9tgLm8dgK+HWx3dccOl4KuehPt70Dncl/3Jefx4OJ2xvSKdXZKIiIiIiIiIXKC84jKSc4pJzi0mOaeYlNzK71PzSsgvLncEVwWl5dhrllNdMA83F7zdXfG2uOLlbsbHYnzvbTHj5e5KdLAXfaOD6BUVgIebuW6KaEQUfNWjITGh7E/OY+3BNAVfIiIiIiIiIg2A1WYnI7+EpIpQK6UizEo+5WtKTjEFpdYaX9tkoiKkMjvCquq+97K44mMxG/tOHnM3V55TEW55uZlxNbvUwZ9C06Xgqx4NjQnl7XVHWHswDbvd3uhXRhAREZHGIy8vjyeeeIIlS5aQmprKZZddxr/+9S/69u0LGEMynnrqKd555x2ys7MZNGgQ8+bNo2PHjue87htvvMGLL75IcnIyvXr14rXXXqNfv371cUsiIiLnVVxmJTmnmKTTemil5FbuS80rwWq7sO5Zvh6uRPh7EObnQbifB+H+xhbm64Gfp5ujB5aXxfjq6WbWz/5OpuCrHl0RHYinm5m0vBL2JeXRNdLP2SWJiIhIM3H33Xeze/duPvjgAyIjI/nwww8ZPnw4e/fupWXLlrzwwgu8+uqrvP/++7Rt25YnnniCkSNHsnfvXjw8PKq95ieffMKMGTN466236N+/P6+88gojR47kwIEDtGjRop7vUEREmpuSciuxqQWOEOtkz6xTe2rlFJVd0LVcTBDqa6kMs/w8CPP3qPI63N8DL3fFKI2NyW6vq1GntSc3Nxd/f39ycnLw82vcYdFdCzazen8qj47qzJ+ubu/sckRERJqsptR+uFRFRUX4+vry1Vdf8dvf/taxv0+fPowePZrZs2cTGRnJgw8+yEMPPQRATk4OYWFhLFiwgMmTJ1d73f79+9O3b19ef/11AGw2G1FRUdx///089thjF1SbnpOIiFyocquNXSdy+Ck2g42xGWyOz6Sk3Hbe93m6mY1eWX4ngy1Pwv0sFfs8iPD3JMTHXUMIG5GatB8UVdazoZ1CWb0/lbUHUxV8iYiISL0oLy/HarWe0XPL09OTH3/8kbi4OJKTkxk+fLjjmL+/P/3792fjxo3VBl+lpaVs3bqVmTNnOva5uLgwfPhwNm7cWHc3IyIizYbNZudASh4/xWbw0+F0fonLJL+kvMo5/p5utAzwdIRY4X4exlDEk720/Dzw83TVcMNmTMFXPRsaEwrAlvgs8kvK8bHoEYiIiEjd8vX1ZcCAAcyePZsuXboQFhbGxx9/zMaNG+nQoQPJyckAhIWFVXlfWFiY49jp0tPTsVqt1b5n//79Z62lpKSEkpISx+vc3NyLvS0REWli7HY7cekFjh5dG49kkFlQWuUcPw9XrmwXzMD2wQzqEEKHFj4KteSclLrUszbB3kQHexGfUchPh9O5tlu4s0sSERGRZuCDDz7gzjvvpGXLlpjNZi6//HKmTJnC1q1b67WOOXPm8PTTT9frZ4qISMOVmF3k6NH1U2wGybnFVY57upnp1zaIge2DGdg+hK6RfphdFHTJhVPw5QRDY0KJ33iUdYfSFHyJiIhIvWjfvj1r166loKCA3NxcIiIimDRpEu3atSM83GiPpKSkEBER4XhPSkoKvXv3rvZ6ISEhmM1mUlJSquxPSUlxXK86M2fOZMaMGY7Xubm5REVFXcKdiYhIY5KeX8LG2IyKXl3pxGcUVjnubnbhstYBDGwfwqAOwfRsFYC7q+bekoun4MsJhnYK5f2NR1lzIA273a5umSIiIlJvvL298fb2Jisri5UrV/LCCy/Qtm1bwsPDWb16tSPoys3N5ZdffuFPf/pTtddxd3enT58+rF69mhtuuAEwJrdfvXo1991331k/32KxYLFYavu2RESkgcopKmNTXCY/xabz0+EMDqTkVTnuYoKerQIcPbr6tAnE093spGqlKVLw5QRXtgvG3ezC8awi4tILaBfq4+ySREREpIlbuXIldrudTp06cfjwYR5++GE6d+7MtGnTMJlMTJ8+nWeffZaOHTvStm1bnnjiCSIjIx2hFsCwYcMYN26cI9iaMWMGd9xxB1dccQX9+vXjlVdeoaCggGnTpjnpLkVExNkKS8vZEp/l6NG160QONnvVczqH+zp6dPVtG4Sfh5tzipVmQcGXE3i5u9K3bSAbDmew9mCagi8RERGpczk5OcycOZPjx48TFBTE+PHjee6553BzM37YeOSRRygoKOAPf/gD2dnZDB48mBUrVlRZCTI2Npb09HTH60mTJpGWlsaTTz5JcnIyvXv3ZsWKFWdMeC8iIk1XabmN7QnZjh5dvyZkUWatmnS1C/FmQEWPrivbBRHso56/Un9Mdrvdfv7TnCs3Nxd/f39ycnLw8/Nzdjm14u11sfzjm/1c3SmUBdP6ObscERGRJqcpth+aIj0nEZHGpajUyt6kXMfwxS3xWRSVWaucE+nvwcAOIQxsH8yA9sFE+Hs6qVppqmrSflCPLycZGtOCf3yzn5+PZFBcZsXDTWOYRUREREREpOHIKSpjb2IuexJz2JOYy+4TOcSm5Z8xdDHY293Ro2tg+2DaBHtpLmtpMBR8OUlMmA/hfh4k5xazKS6TITGhzi5JREREREREmqn0/BJ2nzACrj2JOew+kcuxzMJqzw3xsdA7KoBBHYywKybMR0GXNFgKvpzEZDIxNCaUT7YksPZgmoIvERERERERqXN2u53EnGL2nMhhd2JuxdccUnJLqj2/ZYAn3Vv60S3Sn+4t/ege6U8LP49qzxVpiBR8OdHQTpXB1xPOLkZERERERESaFJvNTnxGgTFMMTGHvRXDFbMKy84412SCtiHeRsAV6Uf3lv50jfAj0NvdCZWL1B4FX040qEMIZhcTh1PzOZFdRMsATfgnIiIiIiIiNVdutXE4LZ/dJyrm5DqRy96kXPJLys8419XFRIcWPnRvaYRc3Vr60yXCDx+LIgJpevRftRP5e7pxWVQAW45mse5gGlP6tXZ2SSIiIiIiItLAFZdZOZCc5+jJtedEDvuT8ygpt51xrsXVhc4RfkbAVTFcMSbMVwusSbOh4MvJhsSEsuVoFmsPKPgSERERERFpDkrLbRSVWiksK6ew1Gp8X2qlsLS88vsyK0Wl5RSUWCkqM47lFZdzIDmPQ6n5WE9fWhHwsbjSNdKPbpHGXFzdW/rTPtQbV7OLE+5SpGFQ8OVkQ2NCmbvqIBsOp1NmteGmv5BEREREREQajHKrjaOZhRSWGOFT4akhVZnV8bqo9LQQq6zqvoJTvi+vJrSqqUAvN7q39Hf04uoW6U+bIC9cXLS6osipFHw5WY+W/gR5u5NZUMqvx7Lp1zbI2SWJiIiIiIg0a4Wl5aw7mM53e5P5YX8q2dVMBl8bXF1MeLqb8XI34+Xuiqeb8b2nuxlvd1fH98ZXV7zdzbQN8aZ7S38i/D0wmRRySR2y26GsEIpzoSSvYsup/N6xP7diyzvt3FyY/BFE9nbqbSj4cjIXFxNXdQzhq+2JrD2YquBLRERERETECdLzS1i9L4VVe1NYfyi9ynxZnm5m/D3dzgiivNzMeFnODK4cx0+e72Ycd5zr5oqnuxl3V434kTpgt0N5ySlhVE7VMOrk1yrBVXVhVh7YrZdWS3F2rdzSpVDw1QAMjQmtCL7SeHhkZ2eXIyIiIiIi0izEpxfw3d5kVu1NYcvRLOynjECMCvJkRJdwru0WxhVtAjVP1klZR2HxH8BaAj0nQY+bwDvE2VU5V0YsHP4eSvPBZq3Yyo3QyFZ+gftOeX2h++ynHj9lX2kh2Gqxl6LJBSy+YPGv+OoLHn6V31v8KrZq9od0rL06LpKCrwbgqo6hAOw+kUtaXgmhvhYnVyQiIiIiItL02Gx2dp3I4bu9yXy3J4VDqflVjndv6ce1XcMZ0TWMzuG+Gkp4uuNb4OPJUJBmvE78Fb57HGJGQe+boeO1YHZzbo31pSAD9iyGnZ/A8c3OrubsLKcHVKcGV37V7PM9c7+7NzTi/xcUfDUAob4Wurf0Y/eJXNYfSuPGy1s5uyQREREREZEmobTcxsYjGayq6NmVklviOObqYqJ/uyCu7RrO8K5htAzwdGKlDdzuxfDln6C8GMJ6GEHXrk+N8Gv/18bmFWL0AOt9M0T0dHbFta+sCA58Czs/hcOrjB5WYPSIajsE/FuBiyuYzMZXF3PFVlv7XCq+nmufGdy8KgIrH+N4M6fgq4EYGhPK7hO5rDuo4EtERERERORS5BaXseZAGqv2prBmfyp5JeWOY97uZq7u1IIRXcO4plML/L2aSQ+li2W3w/qX4YfZxuuYUTD+XbD4wIA/Q+o+2P6R0fMpPwV+mWdsJ8OxHjeBT6hz7+FS2Gxw9EfY8Qns/QpK8yqPRfQyhnt2nwC+Yc6rUc7JZLfbL30d1TqWm5uLv78/OTk5+Pn5ObucOrEpLpOJ/95IgJcbH//+SrpENM37FBERqS/Nof3QFOg5iUhtSc4pZtW+FL7bk8zPRzIos1b+qBviY2FE1zCu7RbGgHbBeLiZnVhpI1JeAsumw46PjNdX/hmufdboVXQ6aznE/mCcu385WEuN/S6uxhDI3jdDx5Hg6l5v5V+SlD1GmLfrc8g9UbnfPwp6ToQeE6GF5uh2lpq0H9Tjq4G4rHUAkf4eJOYUM+bV9fyuVyQzRsTQJtjb2aWJiIiIiIg0OHa7nUOp+azaa4RdO47nVDnePtSbEV2Nyel7twrAxaXxzlHkFIWZ8MmtcHSDMYRuzAvQ9+6zn292hZhrja0w05j/avtHcGIrHPjG2DyDThkK2avhzRuVcwJ2f24MZUzZXbnfwx+6jTN6d0VdqeGDjYx6fDUgxzIKeWHlfr7emQQY480n9Y3iL8M6Eubn4eTqREREGpfm0n5o7PScRKQmrDY7245lOcKu+IxCxzGTCS6LCuDabsbk9O1DfZxYaSOXfhg+ugkyjxiTnN/0HnQYfnHXSjtQORQyL6lyf4tuRgDWcyL4tKidui9GcS7sWwY7F0HceqAiInFxg5iRRtjV8Vpw08/kDUlN2g8Kvhqg3SdyeHHlAdYeNFbK8HBz4Y6B0fxpaHsCvBpJt1AREREna27th8ZKz0lEzqe4zMqPh9L5bm8yq/elklFQ6jjmbnZhUIdgru0WzrAuLWjhW4vhhN0OqXuNeZ3yko3eTk1xwvbTxa03enoVZ4N/a7jlU2jR5dKva7PCkf8ZIdi+r8FasciAyQwdRxghWMwocLVc+medj7UMDq82wrgD3xgT9p/UeqARxnW9HryC6r4WuSgKvpqIX45k8MLKA2w9mgWAr4cr9wxtz7RB0Xi5a5SqiIjIuTTX9kNjo+ckIqcqKrVyPKuQhKxCjmUUsvFIBusOplNUZnWc4+fhyrAuYYzoGsaQmFB8LLX4s5HdbszttPdL2PMlZByqPGYyw6C/wtBHwK2Jrv7464fGnF62Mmh5BUz5uG56YxVlVwyF/BiOb6rc7xloTBTf+2aIvKx2h0La7cawy52fwO4voDCj8lhwR+g1yRiGGRhde58pdUbBVxNit9v5YX8qL648wP5kY/WIEB8L9/+mA1P6tcbdVWOLRUREqtOc2w+NiZ6TSPNSZrWRmF1EQmYRCVmFJGQWkpBVREJmIcezCknPL632fZH+Ho4hjP3aBuFmrsWfg+x2Yz6nPV8agVfG4cpjZndjiJ/JBfZ/bewLag9j/wVtr6q9GpzNZjNWbfxxrvG62zi4YV79BHzph4xeYDsWQV5i5f7QLtB7ijHU0Df84q+fEQu7PjMCr8wjlfu9W0CPCUbvrojeDW++MTknBV9NkM1mZ+mOROauOsixTGMce6tATx4YHsMNl7XErIkaRUREqlD7oXHQcxJpWmw2Oyl5xUawlVlYEW4ZIdeJrCKScoqwnecnUF8PV6ICvYgK8qRzuB8juobRLdIPU233/kneVdmzKzO28pjZYoRd3W4wht55VPzdtH85LH+wcp6qy2+HEbPBM6D26nKGsiJY8kdjSCfAkIfh6r/V/wTuNiscWQM7Pjbm3Do5/NDkYjyP3jdDzOgLm2urIMPoUbbzEzi+uXK/mxd0vs4I09pdbUzIL42Sgq+asNshfj20GVT9kqwNTGm5jU+2JPDq6kOk5RljomPCfHjw2k5c2zWsdv8xEBERacQUqDQOek4ijYvdbiezoNTRSyshq5Djjh5bRZzIKqLUajvnNSyuLrQK9CQqyMsRcBlfjdf+Xm51VTwk76zs2XVq7x+zxZhnqusNxoTmHmf5+6g4B75/Gra8a7z2CYMxL0HX39VNzXUtLwUWTTGGALq4we9eM3pZOVtxDuxZYgyFTPi5cr9HAHQfD71vgZaXV+2lVVYEB741VmQ8vAps5cZ+kwu0u8YIuzr/Fixa9KApUPBVE8e3wn9+A34t4bJbjS2gde1+Rh0oKrWy4Kd45q05TG6x8T9076gAHhnViYHtQ5xcnYiIiPMpUGkc9JxEGp6CknKOZZ45DDEhs4jjWYUUlFrP+X6zi4nIAA8jzDoZbAV50SrQi6hAT0J9LfX3C3u7HZJ2VPbsyoqrPObqUdGza5wRdll8L/y6RzfC0vsr5wDrfB2MeRH8Imuz+rqVsgc+mgQ5CcbcWpMWQvQgZ1d1pvTDRi+wHYsg93jl/pBORkgX1r0izPwKSvMqj0f0NsKu7uPBN6y+q5Y6puCrJnZ/YXRXLcqq2GGC9r+BPncY3ShdG/YqijlFZby9Lpb5P8Y7Jny8qmMID4/sRM9WAc4tTkRExIkUqDQOek4izme324lNK2D1vhRW70tly9HM8w5HDPOzOIKskz21WlX03Irw98C1Nufgqim7HZK2V/bsyoqvPObqUbVnV03CrtOVFcP6l415sWzlYPGDEU/D5VPrf5hgTR36Hj6bagRFwR3g5k8huL2zqzo3mw3i1xnzge1dCuVFZ57j3xp63gQ9JkKLzvVfo9QbBV81VVZsTFS47X2IW1e53zsUek0xxm6HdKz9z61FqXnFvP7DYT7edIwyq/FIR3cP58FrO9GhhbpyiohI86NApXHQcxJxArudsrw09u3dxcEDe0g/fgjvokSiTGm0MqURYcogz+RDmmskeV4tKfNrg0twO7zC2hMU1YmIsEg8Gtoq83Y7JP5qBF17vzot7PI0wq5uN0DHkbU/1C1lDyz9C5zYYrxuPRB+92rD/Rly0zvw7SNgt0H0VTDxv+AV5OyqaqY413jW2z82nnXHEdBrMkRd2fBDR6kVCr4uRUassYTr9oWQn1K5v80gIwDren2DXro2IbOQf646yJLtJ7DbwcUEE/q04q/DY2gZ0HDrFhERqW0KVBoHPSeROmC3GyNaso9C1lHIPgbZxyjNiKc47QiW/BNY7MUXf32LPwRFQ2A0BLaFoLaV3/u3qr+5k+12SNxW2bMr+1jlMVdPiLnW6NnV8dq6n9fJZjUCpdXPQFmBMWfY0Idh4F8bzigimxVW/g1+ect43fsWuO6VhlOfSA0o+KoN1jI49B1sfd+YGM9eMUGjxd9Y7rTPHRDeo35quQj7k3N5aeVBvt9nhHfuZhduvbIN917TnmAfi5OrExERqXsKVBoHPSeRi1SU5Qi0Tg23HNupcx1Vw2Y3kWYKpNCrJe4hbQlt1RH3kGgIaGPMf1yUZfSkyYqDzLjK70+uaHg2Lm4QEHVmIHbye3fvS7tvux1ObIO9S4yeXaeGXW5eRsjV7Qbj66V+1sXIPgZfzzB+hgRo0c2YML5Vn/qv5VQlefD5XXBopfF62FMw+IGqk8OLNCIKvmpbzgmjB9i2DyDnlL9YIy+Dy+8wJss726ofTrb1aBYvrtzPz0cyAfB2N3PXVe34/VVt8fWoo9VSREREGgCntx/kgug5iZxFca7RY+vUMOvUgKsk57yXSDcFctQawnF7KAn2UI7bQzEFtKZdx65c0asHvdqE4eJSw+CjtLCiJ1l8RSAWV/l99lGwlp77/d4tqgnEKl77tKg+iLHbjVUH9ywx5nbKOS3sihlZ0bNrhHPCrtPZ7bDrc1jxKBRmACa48k9wzd+ds6JgdgJ8PBlSdhtznI37txEOijRidR58vfHGG7z44oskJyfTq1cvXnvtNfr163fe9y1atIgpU6Zw/fXX8+WXX17w5zWYBpHNBkf+B9v+C/uXg63M2O/mBd1vNEKwVn0bXGput9tZfyidF1ceYNcJ4x/IQC837r2mA7de2QYPt3rqiiwiIlKPGkz7Qc5Jz0mkQuz/YOt7FQHSMSjOPv97vEMhoA0lPq2ItwazNdePNSmeHC4N4oQ9hBLccTe7MKB9MMO6tOA3nVvQKtCr7u7BZoXcxOp7imXGnf+e3LwrArHoynAsK97o2ZWTUPW8mJFGeNNhBLjX4T1dioIMY2jhzkXGa//WcN0/oePw+qvhxDYj9MpPMULHKYuc3/tMpBbUafD1ySefcPvtt/PWW2/Rv39/XnnlFT777DMOHDhAixYtzvq++Ph4Bg8eTLt27QgKCmqcwdep8tOMv8C2vl+5hC1AaBdjLrBekxvcBIF2u51vdyfz0ncHOJJWAECEvwd/HdaRCX1aOXflFRERkVrWINsPcgY9J2n2SvJh1ROwZf6Zx7yCIaC1MfwwoLXje3tAaw6VBPF9bC6r96Wy7VgWp/5UF+Jj4TedQxnWJYzBHULwtjSQiehPDp88PRDLioec48A5fjR184ZOo4yeXR2GN9ywqzqHv4dlD1T2VOs5CUbOAe/guv3cvUth8R+M1Q9bdIObFxn/DYk0AXUafPXv35++ffvy+uuvA2Cz2YiKiuL+++/nscceq/Y9VquVIUOGcOedd7J+/Xqys7Mbf/B1kt0Ox342eoHtWVK5pKrZHbqMNUKw6CENamWJcquNL7Yd55XvD5GUY0xq2S7EmxnXxjCme0TNuzuLiIg0QA26/SAOek7SrMVvgC//ZAwRBLjiTmPVwZMh1ynD4krKrfxyJJPV+1JYvT+V41lFVS7VNcKPYV1aMKxLGD1b+je+Nn15acVwzriqwygtvsbPVR2GN+hFxs6rJB/+9w/4ZZ4xf7RXMIx6HnrcVPsjhux22PAv+P4p43WHETBhfoOdnkfkYtRZ8FVaWoqXlxeff/45N9xwg2P/HXfcQXZ2Nl999VW173vqqafYuXMnS5YsYerUqecNvkpKSigpKalyQ1FRUQ2/QVSUDbs/N3qBJe+s3B8YDZfdBpfdCr7hzqruDMVlVj78+Shvrokls8AYi98t0o+HR3ZiaEwopgY2ZFNERKQmFKg0DnpO0iyVFcHq2fDzm4DdGAJ3/evQbmiV09LzS/jf/lRW70tl/aE0CkqtjmPuri4Mah/MsC5h/KZzCyK1gnvjcHwrLL0fUvcYr9sPM4Y/BrapneuXl8LyGfDrB8brfn8wepeZG0ivP5FaUpP2Q43+609PT8dqtRIWFlZlf1hYGPv376/2PT/++CPvvvsu27dvv+DPmTNnDk8//XRNSmsYPAOg793Glrgdtr0POz8zfmPxw2wj4Y8ZacwF1mG40//y8XAzc/dV7ZjUN4r/rI/jP+uPsCcxl6nvbaZf2yBu7tea4V3D8GkoXaNFRERERBq741tgyT2V06Vcfjtc+xx4+GG329mfnMcP+1P5fl8K2xOyqwxhDPW1MKyz0atrUIdgvNzVTm90WvWBP641emStfQFiV8ObV8JvnoD+fwSXS5h/uSgLPrkN4teDycXoUdb/j7VXu0gjVad/U+bl5XHbbbfxzjvvEBIScsHvmzlzJjNmzHC8Ptnjq1GJ7G1s1z4Le740hkIm/AwHvjE230i47BajF1hgtFNL9fVw44ERMdw+oA1vronlg5+Psikuk01xmVhcXfhN5xaM7RXJbzq30ET4IiIiIiIXo7wE1jwPG14xhrr5hMP1r2NtP5ytR7P4dvcevtuTwonsqkMYu7f04zedwxjepQXdIxvhEEY5k9kNhjwEXa+HZX+Foxtg5Uxj9NDvXoOwbjW/ZkYsfDTJCFTdfYyhjTEja792kUaoToc6bt++ncsuuwyzuTIssdlsALi4uHDgwAHat29/3s9tMl3gU/cbXU63fwRFmZX7211j/Kan82/B1eK8+iokZhexaNMxlu1MIi69wLHf293MiK5hXNczkqtiQrC4KgQTEZGGq8m0H5o4PSdpFpJ2Gr28Koa32brfxJYuj7H0UBEr96SQllc5zYvF1YXBHUIcQxjD/T2cVbXUB5vNGCm06kkoyQUXVxg0HYY8DG4X+OyP/gSLbjF+xvRrCTd/AuE96rRsEWer88nt+/Xrx2uvvQYYQVbr1q257777zpjcvri4mMOHD1fZ9/jjj5OXl8e//vUvYmJicHd3r9UbahTKS2D/cuMvuCNrKvd7BUOvKUYIFtrJaeWdZLfb2ZOYy7KdiXy9I6nKb5/8PFwZ1T2csb0iGdAuWCtCiohIg9Pk2g9NlJ6TNGnWMvjxn7D2/8BWTqkliE/CHuSfJzo55tgFo209vGsYo7tHMLhDCJ7u+gVzs5ObBN88BPu/Nl4Hd4Cxr0L0oHO/b8cnsPQ+sJZC5GUwZVGDmldapK7UafD1ySefcMcdd/Dvf/+bfv368corr/Dpp5+yf/9+wsLCuP3222nZsiVz5syp9v0XMrn9pdxQo5MVD9s+gO0LIS+pcn/UlUYA1u0GcPd2VnUOdrudXxOyWbYjkeU7k0g95bdSwd7ujO4RztiekfSNDlL3axERaRCadPuhCdFzkiYrdT+2JffgkvQrAN/Tj0eK7yQT47/zQC83RnYLZ1T3cAa2D8HdVb9IFmDvUvjmYchPNl73mQYjngYP/6rn2e3GHNLrXjBedxkL494Gd6/6rVfESeo0+AJ4/fXXefHFF0lOTqZ37968+uqr9O/fH4Crr76a6OhoFixYUO17FXydhbUcDq8y5gI7uBLsFSu2WPygxwQjBIvoXftL3V4Eq83O5vhMlu1I5JtdSWQVljmOhft58NueEYztFUmvVv5aGVJERJymWbQfLpDVamXWrFl8+OGHJCcnExkZydSpU3n88ccd/1af7d/sF154gYcffrjaY7NmzTpjQaJOnTqdddGj6ug5SVNTWFzCseUv0n73K7jZy8i2e/Nk2VSW2gYS6uvByG5hjOkeQb+2QRo1IdUryjaGPm5733jtGwFjXoIu1xmvy4rhqz/D7i+M14Omw7CnwEX/PUnzUefBV31rdg2i3CTY8ZERgmXFV+4P72GsCNnjJmMFyQagzGrjp9gMlu1IZOWeZPKKyx3HooI8ua5nJGN7RtIlwlchmIiI1Ktm1344h3/84x/MnTuX999/n27durFlyxamTZvGc889x1/+8hcAkpOTq7zn22+/5a677uLw4cO0a9eu2uvOmjWLzz//nO+//96xz9XVtUaLGuk5SVOQV1zGD/tT2bptK9cffZY+pgMA/GDtzT897+OKHl0Z3T2CPm0CMWt0hFyouPXG5PeZscbrLr+DoY/A1zPg+CZjPrDrXoHLb3NqmSLOoOCrqbDZjKVot/0X9i01xm0DuHpA1xuMXmBtBjaIXmAAJeVW1h1MZ9mORFbtTaGozOo41j7U2wjBekXSoYWPE6sUEZHmotm2H6px3XXXERYWxrvvvuvYN378eDw9Pfnwww+rfc8NN9xAXl4eq1evPut1Z82axZdffsn27dsvujY9J2mscgrL+H5fCt/uTmL9oVQm2VfymOsivEwlFODJ/9rOoOXVd9MrKlBTgcjFKyuCdS/Chn+BrbKTAR7+MOlDaDvEebWJOFFN2g+u9VSTXAwXF2g31NgKM2HnJ7D1fUjbBzsXGVtwByMA6zUFfFo4tVyLq7Hq44iuYRSWlvPD/lS+3pHEDwdSiU0r4F+rD/Gv1YfoEuHH2F4RjO0ZSVSQxqCLiIjUtYEDB/L2229z8OBBYmJi2LFjBz/++CNz586t9vyUlBSWL1/O+++/f95rHzp0iMjISDw8PBgwYABz5syhdevWtX0LIg1CZkEp3+1J5tvdyWw4nE65zU5L0pjv9jaDXI0VG/MjB+J901tcF9jGydVKk+DmCcOehG7jYOn9kPgrBLaFmz+F0BhnVyfSKKjHV2Njt8OJrcZ4711fQFmBsd/FFTqNMYZCtr8GXBrOSjB5xWWs2pvCsh2JrD9kNBBO6hUVwNieEVzXM1JLNYuISK1S+6GSzWbjb3/7Gy+88AJmsxmr1cpzzz3HzJkzqz3/hRde4PnnnycxMREPj7P/+/ztt9+Sn59Pp06dSEpK4umnn+bEiRPs3r0bX1/fat9TUlJCSUnlIjm5ublERUXpOUmDlZpXzMo9KXy7K4lf4jKxOtqydv4S+DP3ls7HYi3A7uaFacQzcMVdmmtJ6oa1HI5uMFZv9NDfl9K8aahjc1GSB7sXG0MhT2yp3O/XCi671dgCopxXXzWyCkpZuSeZZTsT2Ribwcl2g8kEfaODGNszgtE9IgjxsTi3UBERafTUfqi0aNEiHn74YV588UW6devG9u3bmT59OnPnzuWOO+444/zOnTszYsQIXnvttRp9TnZ2Nm3atGHu3Lncdddd1Z5T3YT4gJ6TNCiJ2UWs2J3Mit3JbD6ayak/MXVv6cf4jq5MTHoB76M/GDujroQb3oTg9s4pWESkmVHw1Ryl7DECsB2LoDi7YqcJOgwzhkLGjAZXd2dWeIbUvGK+3ZXM1zsT2Ryf5djvYoJBHUIY2zOSkd3C8fdyc2KVIiLSWKn9UCkqKorHHnuMe++917Hv2Wef5cMPPzxjBcb169czZMgQtm/fTq9evWr8WX379mX48OHMmTOn2uPq8SUN1bGMQr7dncS3u5PZnpBd5dhlrQMY3T2cUV3DaZ34DXzzkNHmNlvgN4/DgHsb1IgLEZGmTnN8NUdh3WD0/8Hwp2H/18ZQyLh1cPh7Y/MONeYBu/x2COno7GoBaOHrwR0Do7ljYDSJ2UUs35nEsp2J7Dyew/pD6aw/lM7fv9zFZa0D6RsdyBXRQVzeOhB/TwVhIiIiNVFYWIjLaUOvzGYzNpvtjHPfffdd+vTpc1GhV35+PrGxsdx229lXGLNYLFgs6tktDcOxjEKW7Uzk291J7D6R69hvMkHfNkGM7hHOyG7hRAZ4Qn4aLP8j7FtmnBR5GdzwFrTo7KTqRUTkQij4amrcPKDHBGPLiIVfP4TtCyE/BX561dhaD4Q+dxjL4bo3jMnlIwM8+f2Qdvx+SDvi0wtYviuJZTsS2Z+cx6a4TDbFZQKxmEzQKcyXvtFBXBEdSN/oIKMhIiIiImc1duxYnnvuOVq3bk23bt349ddfmTt3LnfeeWeV83Jzc/nss894+eWXq73OsGHDGDduHPfddx8ADz30EGPHjqVNmzYkJiby1FNPYTabmTJlSp3fk8jFSs4p5uudiSzbmcSOU3p2mV1MXNkuiFHdIxjZLYwWvqfMb7d3KXz9ABSmG3PrDn0MBk8Hs34hKyLS0GmoY3NgLYdD3xm9wA59B/aK3+5a/KHnTUYvsIia/1a3PhxJy2dzfCab47PYEp9JfEbhGee0DPB09AjrGx1ExxY+WjJaRETUfjhFXl4eTzzxBEuWLCE1NZXIyEimTJnCk08+ibt75VQIb7/9NtOnTycpKQl/f/8zrhMdHc3UqVOZNWsWAJMnT2bdunVkZGQQGhrK4MGDee6552jf/sLnOdJzkvqQkV/CN7uTWbYjkc3xlXN2uZhgYPsQrusZwbXdwgnyPm1qkKIs+OYR2PWp8TqsO9wwDyJ61u8NiIhIFZrjS84uN9HoAbbtA8g+Wrk/orcRgPWYAB5nNnQbitTcYrYczWJzfCZb4rPYk5iD7bT/gv08XLnilB5hPVv5Y3HVnAsiIs2N2g+Ng55TPbLbYdM7sONjYxL2dtdAu6vBv6WzK6sTOUVlxqJKOxL5KTbjlNUYoV90EGN7RTCqewShvmcZentoFSy9H/KSwOQCgx+AoY+Cq4bqiog4m4IvOT+bDeLWGhPi7/8arKXGfldP6DYOek4Ez0Bjkk6T+ZSvLqe9voD9dSi/pJztx7KNIOxoJtuOZlNUZq1yjrurC71a+Vf0CAukT+sgTZgvItIMqP3QOOg51ZPCTCPE2f/1mceCOxoBWPtrIHpwg/4l6PkUlJTz/b4Ulu1IYt3BNEqtlfPY9Wrlz9hekYzpEXHuqTKKc+G7vxvtZDD+fMa9Ba2uqOPqRUTkQin4kpopyICdi4x/3NP2n//8mrrgoMzl7OeZXM7cXMzGzKOn7LNhIq/ERnZROVlF5WQWllNUbseOccyGCSsu+Hq4E+zjQbCvJyF+HvhY3Kv/jFOvHxgNXa8Hr6Da/zMSEZFap/ZD46DnVA8SNsPn0yAnAczuMPQRKCuGI2sgcVvlNBhgtHla9jGCsHbXQKu+DW5l8NMVl1lZcyCNZTsTWb0vheKyyvvpHO7L2F6RXNczgjbB3ue/2JG18NW9xp8VJrjyzzDsCXDTnLIiIg2Jgi+5OHY7HN8MW9+H+PVgK6/YrGC3Gr3E7NZTXld8bU7M7tBptLFCZofhmtBURKQBU/uhcdBzqkM2G2x8DVY/Y7TpAtvCTe8ZqxGeVJRttPuOrDG2jMNVr+HmBW0GVQRhVxsriZucP5dqmdXGj4fTWbYjke/2pJBfUu44Fh3sxe96RXJdr0hiwnwv7IKlBfD9LNj0tvE6oI0xl1f0oNovXkRELpmCL6lfZwvEbDajkXXGMVv1557tGvazbVYjrDvr8ZNb1XPyi0s5nlnAicwCTmQVkJZbhMluw8Vkw4QdF+x4uEKkn4UIPwsRfu6EeptxPbYBUnZX3rdXCPS4CXpPgfCeDaIRKCIildR+aBz0nOpIQTosuQcOrzJed7sRxv4LPM7zZ5ydYEyHEfs/IwgrTK963Du0MgRrdzX4t6r92s/CarPzS1wGy3Yk8e3uJLILyxzHIv09GNsrkrG9IukW6YfpQtplxbmQFQ/pB+F/z0HmEWP/FXfBiGfA4lM3NyIiIpdMwZdIDRSWnpwnLKtinrAsCkpPmyfM7ELnCF+u9k9hROlqOqWtwL04o/KEFl2NXmA9J4JveD3fgYiIVEfth8ZBz6kOxG+AL+4yJmV39YBRz0OfqTX/JZ3NBql7K3uDHd0AZaetsB3coXKS/OjB4BlQK7dQWYKdXxOyWLYjieW7kkjLK3EcC/GxcF3PCMb2iuCyqMAzV/W22SA/2Qi3MuMgK67ia7zxfWFG1fP9WsL1r0P739TqPYiISO1T8CVyCcqtNvYn57E5PrNiy6rSyAJwpZyrXHZxs+VHrrZvwQ3jN452kwvWttfgetnN0Pm3mg9CRMSJ1H5oHPScapHNCuvnwpp/GD3dgzvCTQsgvHvtXL+8xJgW42QQdmLrmfODRV5eOVF+q74XtQKi3W5nT2Iuy3Yk8vXOJE5kFzmO+Xu6MaZHOGN7RtK/XTBmWylkHTWCrFMDrqx4YysvPveHeQUbQ0Cj+htzn9VycCciInVDwZdILbLb7RzLLGRPYi77k/M4kJzLgeQ8jmYWYreDH/lcZ/6FG83rucLloON9hSZvDocOI6/TTbTodjVtQ31wNdftKpciIlJJ7YfGQc+pluSlwOLfG8MUweiJPualuh2uV5QN8T+eMj/YoarH3bygzcDKifJbdD3nit+HUvJYtiORZTuTiEsvcOyPdC/ipnZlXBtRRCdLBq458ZAZbwRbuSeAc/w4YzIbwzGD2hoBV1BbY8GiwIqv5xv6KSIiDZKCL5F6UFRq5VBqXkUYZmwFSQe4uuQHxpvX08pUOSfGMVsoX9mH8GvgKPxbxhAT5kvncF86hfsS4e9xYfNQiIhIjaj90DjoOdWC2P/B4j9AQaoRNv32Zeh9c/3XkXO8MgQ7sgYK0qoe9w6FtkMr5wcLiOJoRgHLdxzn5+27KEs/QhtTCq1NqbR1SaWbZwYRthTcynLP/blu3pWB1smA6+T3/lFajEhEpAlS8CXiRBn5JRxIziF731paHFlMt+z/4Wmv7KK/ydaJxdarWG69kjy88PNwpVNFCNYpzJdO4X50CvfF31ONNBGRS6H2Q+Og53QJrOWw9nlY9xJgN3pU3bQAQjs5uzJjcaGT84PF/q/a+cESzZEUl9loZUrD3XSelcJ9wqsGW6f23PIO0SJDIiLNjIIvkYaktBDbvmWUbF2Ix7F1mCq645fgznfWPnxhvYr1th5YMVd5W4S/x2mBmC8dWvhgcTVX9ykiInIatR8aBz2ni5SbCF/cbQRKAJffAaP/r+HOL1peCsc3U3boB5K3ryAify+upsr5wawmVwhogzn41GDrZLgVDe5eTitdREQaHgVfIg1VbiLs/BR2fAxp+x27iy0h7Ai8lq9NV7M6M4TEnOonYjW7mIgO9qJtiDfRwd60CfGmbbA30SFeRPh7Yj59NSMRkWZM7YfGQc/pIhz8Dr68x1iV0N0Hxv4LekxwdlXnte5gGn9bsovjWUX4Ush9HTOY2L8Dga1ijBUVXfTLPRERuTAKvkQaOrsdEn+FHYtg12dQlFl5LLwHxd0msT/kWnbneDjmD9ufnEtucflZL+nu6kLrIC+ig72JDvYiOsSbtiHetAn2ItLf88wlvkVEmji1HxoHPacasJbB6mfgp1eN1+E9jaGNwe2dWtb5ZBWUMnv5XhZvOwFAywBPnhvXnas7tXByZSIi0lgp+BJpTMpL4fAqoxfYgRVgKzP2m8zQcQT0mgwxo7G7WkjJLeFQah7x6QXEZxQSn15AXEYBCZmFlFnP/r+yu6sLbYK8aBPsTdsQIxSLDvYmOsSbCD8PhWJNQX4aJO+A5F3GKlet+kLn67QsuzRraj80DnpOFyj7GHx+JxzfbLzu9wcYMRvcPJxb1znY7Xa+3pnE08v2kJ5fiskEdwyI5uGRnfC2uDq7PBERacQUfIk0VoWZsPsLIwQ7sbVyv4c/dLvRWKGpVd8zJnC12uwkZhcRl17A0YwC4tILic8oIL4GodipPcTaVoRi4QrFGh6bDbLijIAreafxNWkn5Cefea7ZHToMh+7jIWZU3S5pL9IAqf3QOOg5XYB9X8NXf4biHLD4w/WvQ9ffObuqc0rKKeKJL3fz/b5UADq28OH58T3p0ybQyZWJiEhToOBLpClIO2AMhdz5CeSeqNzvG2msXuTuY0z06u5tfO92yven7LeaPcgoc+dEgQvHCkzE58DhHDsHM+3EZpVSbjt7CRZXF9oEezl6h0VXzCcWHaxQrF6UlxhzwSXtPCXo2g2ledWcbDKGuoT3MOZJOfx9lXnkcPWETqOMEKzDiAbdQ0Cktqj90DjoOZ1DeQmsegp+mWe8btkHJsw3JntvoGw2Ox9tOsbz3+4nv6QcN7OJP1/dgT9f014L9IiISK1R8CXSlNisEL8etn8M+5aesRT4pbCbzNjdvCkze1Js8qAAD3Kt7uSUu5NR6kq+3dhXhIUCuweFWCjEg0K7hTKzJ4E+XoT4Wgjx9SLEz5NQX09a+HvSws8TLw8LmFyM3mkml1M282mvTcZktlX2nXreae+v9twmEMAV51SEW7sqg660fWCrZl43swVadIGInsb8LuE9IawrWHyrnpey1+hBuPsLo5fYSRY/6PxbIwRrdzWY3er01kScRe2HxkHP6Swyj8Bn0yBpu/F6wH0w7ClwdXdqWecSm5bPzC92sSnemLv0stYB/N/4nsSE+Z7nnSIiIjWj4EukqSrJNwKR0gIozTe+lhVWfl9aeI79Fe8pK4Ty6leNbLTcvIxecF4hxlfvUPAKPmVfKHgHVx5393ZerXa7sbqnowfXTiPoyj5a/fke/pXhVkRPo0dXSEzNwqqTiyns/gL2LKnag9AzyBgu0308tBmkFbWkSVH7oXHQc6rG7sWw9C9GD1/PQLjhLaPXbgNVZrXx9roj/Gv1IUrLbXi5m3l4ZCduHxCtFadFRKROKPgSkXOzlkPZaYFYDUI0W2k+ZUX5lJWVUlpmpdxaTnm5lXKrFau1HLvNhgt2XLDhYqr4ih0X7JiwYcaGqwnMJruxVRw3VRzHbsNkP8cYzEvl5lURggVXhGQhpwRjoaeFaJcQlNmskH6oIuTaUdmjqzCj+vP9oypCrh6VIZd/VO32aLPZIOEXIwTb+yUUpFUe8wmDbuOMEKyaueREGhu1HxoHPadTlBXByr/BlvnG66grYcK74N/KuXWdw87j2Tz6xS72JeUCMCQmlH+M606rQC8nVyYiIk2Zgi8Rcar8knISMgtJyCzkWGYhx7OKHN8nZBVSXHbuUMvi6kKrAA9aB3nSJsiDqABPogIttAowNj+LGew2I8SxW6EkzwiTCtKgIB0K06Gg4nVhesW+DOOrtaTmN+TqWRmCnQzEvIJPC8lCjZqST5mPK2UvlBedeT2TGUI7GcHWyaArvAd4BdW8tkthLTeG0e7+whhGW5xTecy/NXSvCMHCezaeEMxuN1Y+S90LKbuNZ5C617i3wLYQ3A6C2hvzoQV3MPa564ezpkrth8ZBz6lC+iH4bKrxdxcmuGoGXP03MDfM1Q+LSq388/uD/Gf9EWx2CPRy48mxXbmhd0tMjeXfDBERabQUfIlIg2W320nPL60IxAo5lmGEYQmZRRzLLCQppwjbef5W8vd0o3WQF1FBnkQFetEm2FiRsn2oN6G+lrM3uO32ipCsIhgrTD8lLKsIxhxhWUVwdjFB2ancvCCse2UPrvCexvxcbp6Xdt3aVl4KsT8YIdiBb4weficFdzACsO7jjcCuoSjKrgi49hhb6l5I3QcluTW7jl9LCGpXGYadDMYCo8HVUheVSz1R+6Fx0HPCWMzm6xlGb2yvELjxbegwzNlVndVPh9N5bPEujmUa847+rlckT47tSoiP/s4UEZH6oeBLRBqtMquNpOxiR++wyp5iRq+xzILSc77f291M21Bv2oX40DbEm3Ynvw/1xsdSw9+a2+1GAFRtMJZ+Wi+zDGMi+hZdTxmq2NMIVBrbvFmlhXDoOyMEO7iyavgX1h263wjdboSgtvVTj7XM6AmRsgdSK0KulL2Qe7z6813cILSzMeF/i65GzZ6BxkTRmbGQEVvx9XDVXm6nM7kYw4tODcNOfg1o3XgWBTgZ+BZlVW7F2eARAIFtjOG0jeVeakjth8ahWT+n0gL45mHYvtB4HX0VjP8P+IY7t66zyCks4x/f7OOTLQkARPh78OwN3RnWJczJlYmISHOj4EtEmqz8kvJTeooZYVh8RgFH0go4nlV4zt5iLXwtFWGYD+1CvB3BWFSQF25ml/q7icakOBcOfGuEYLGrq64y2bKP0Qus2zjwi7z0zzo58f+pwxRT9kD6QbCVVf8e/6iKcKtb5Rbc4cKCHLsdCjNPC8MqArHMI1V7vZ3OxRUC2lQNw4LaGZ/t36puwk6b1QjqTg2wqt2yz9xnt579uicDvsDoara2RmjYSIctqf3QODTb55S6zxjamLbf+P9w6GMw5KEG+8uSb3cl8eTSPaTlGb8Mue3KNjwyqhO+Hk0zOBcRkYZNwZeINEsl5VYSMguJTSsgLr2AI2n5xKUb36fnn72nmKuLidZBXrR1hGE+FzZ0srkpzIR9y4wQLH69MacZACZoM9DoCdb1BmPes/MpyTN+6Dt1mGLKHqMnUnUsfhUBV0XI1aKbMWTUM6B27u10djvkp57ZQyzjiBGKVTd320lm94r5xE4Jw04GZL4RRoh3IWHV6cdLztE77UKYLcY8cp6BxmqhRVmQFX/+VV4tfkbIF9imaiAWGA0BUQ16OKjaD41Ds3tOdjv8+gF884jxd4lPuNHLq+1Vzq6sWim5xTz51W5W7kkBoF2oN/83vid9o+t5XkoREZFTKPgSETlNTlFZRQiWz5G0Ao6kFxBXEZAVlZ29N0ytDp1sSvJSYO9XRgiW8HPlfpMZ2g01eoJ1vg7cfYzQ6NRwK2UPZB+t/romM4R0rAi3KoYphnWt/dUtL4XNBnlJp4RhsUYYlhELWXFgPcdwXJP53L2vLoS7rxFeeQZUfD3bdtrx6uaVs9mgINUIwKrb8pLOU4zJmCMtMPq0YKxi8w516nNT+6FxaFbPqSQPvn4Adn1mvG4/DMb9G3xCnVtXNex2O59sTuC5b/aRV1yOq4uJe4a2577fdMDDrWH2ShMRkeZDwZeIyAWy2eyk5BUTl1ZAbEUYdiTd6CmWkFmzoZNRQZ74ebjh4+GKj8UVHw9XfC1ueLi5NO1eY9kJsGeJEYIlba/cb3YHTGdfIMA3ouowxRZdjcnzG3APovOyWSEnoWoYdjIgyzpaGXqZXIw5ts4XVp2+efjX73xcZUXG8z1bMFZWcO73u3mdGYYFtKkMyup4kQe1HxqHZvOcknYaQxszY40Q/DePw6Dp4NLwhtrHpxcwc/EuNh7JAKBXK3+eH9+TLhFN+PmIiEijouBLRKQWlJbbOJZpzB9mDJ2s+JpeQHr+ha/2aHYx4e1uxtfDzRGIVQZjrlX2+Xq44mNxO+21cdzb3RWzSwMP0DJiYfdiIwRL22fsc/M6ZZhi98qwy6uZDZOxlkF+itELzuLXIH/YrRG73VjY4fQwLPuo8TXnOHCeJoZPuBGCjf0XtOhc6yWq/dA4NIvndOh7+PQ2KCsEv1Yw4V1ofaWzqzpDudXGf36M45+rDlJSbsPDzYWHru3EtEFtG/6/PyIi0qwo+BIRqWM5RWXEp1f0DqsYOpmYXUR+STn5xeXklZSTX1JObf8N6+1uPiU4cztLcOZKmJ8HEf4eRPh7EuZvweLqhGEpGbHG18C2jT/kkZorLzHCr6y4anqLHYWS3Mpz/7rT6AFWy9R+aBya/HPasQi+utdYHKTd1TDhvQYZ/O9JzOHRL3ay+4Tx/+bgDiH8Y1wPWgd7ObkyERGRM9Wk/dCMJ6gREbl4/p5u9IoKoFdUwFnPsdvtFJZayS8pJ6+43BGK5ZeUnfa6IigrLqfglO/zK8KzvOIyyqxGglZQaqWg1EoKF97jDCDEx0JkgAfhfh5EBngaodjJr/4ehPl51P7KlsHta/d60ri4Woz/Bqr778Bur5xcPyvemCdMpKmx2+GnV2HVk8brHjfB9W+Cq7tz6zpNcZmVf60+xNvrjmC12fH3dOPx33ZhQp9WTXuYvoiINBsKvkRE6ojJZMLb4oq3xZWwS+zEUFJurQzJzhKa5ZeUkV9cTk5RGcm5xSTnFJOYU0xpuY30/BLS80vYSfUrA5pMEOpjISLAk8iKnmJGOFb5fQtfC661HY5J82QyGT1evIKg5eXOrkak9tls8N3j8PMbxusB98GI2Q2u9+vPRzKYuXgXcenGfH2/7RHBU7/rSgtfDydXJiIiUnsUfImINAIWVzMWHzPBPjWb+N1ut5NZUEpSTnHFVkRidjHJOUUkVrxOzimmzGonNa+E1LwSdiRUfy2zi4kWvhbHEMqTvcYi/T0I9zd6koX4WDQPjIg0b+Wl8NWfK1duHDEbBv3FuTWdJre4jOe/3c9HvxwDIMzPwuzru3Ntt3AnVyYiIlL7FHyJiDRhJpOJYB8LwT4Wurf0r/Ycm81ORkFplVAsqaK3WFK28X1KbjHlNrsjQIPsaq/l6mKqnF8swJNQHwvBPu4EebsT7O1e8b2FIG93/DxcNYxGRJqWkjz45DY48j9wcYXr34Bek51dVRUbYzOY/smvpOQaQ+an9GvNzDGd8fOoxxVjRURE6pGCLxGRZs7FxUSor4VQXws9W1V/jtVmJz2/xAi+sosqQ7HcM8OxE9lFnMgugqNZ5/xcN7OJQK+KUKwiEAv2Nl4HebsTckpIFuztjr+nGy7qTSYiDVV+GiycAEnbwc0bJv4XOg53dlVVfLX9BA99toMyq522Id7MubEHV7YLdnZZIiIidUrBl4iInJe5oidXmJ8Hvc8yoX+51UZafgmJ2cYQyqTsYtLzS8goKCWzoLTiawmZ+aUUlFqrDK+80BoCvdwcwVhwRSh2Mjg7+fpkD7NAL3cNuxSR+pF5BD640VjF1CsYbvkMWvZxdlUOdrudeWtjeWHFAQB+2zOCl2/qhYebE1b8FRERqWcKvkREpFa4ml0q5v7yBALPeW5xmZXM0wKxjPyK7/NPCckqjucVl1f0OislPb/0guoxmSDA061qSObjXqVX2cn9IT7uBHq71/7KliLS9CVuN3p6FaRBQGu4dQmEdHB2VQ7lVhuzlu3hw5+N+bx+f1VbZo7uoh60IiLSbCj4EhGReufhZiYywJPIAM8LOr+03EZWYSkZ+SfDspJTvq8akmUWlJJdWIbdDlmFZWQVlhGbVnBBn+Pn4Uqwzyk9yU4NyaoZjqneEiLNXOz/4JNboTQfwnrArZ+Db8OZIL6wtJy/fPwr3+9LxWSCp67rytRBbZ1dloiISL1S8CUiIg2eu6uLY6jlhSi32sgqLDPCsOqGWxZUhmiZBaVkFZZis0NucTm5xeXEpV9YUObtbibotEAs+CwhWbCPO17u+mdXpMnY9TksuQdsZRB9FUxeCB7VLyLiDOn5Jdy1YDM7judgcXXhX5MvY1T3hhPKiYiI1Be1wEVEpMlxNbs4JuwH3/Oeb7XZySkqcwy5PLX32OnDMU/uK7fZKSi1UpBZREJm0QXVZXF1wdfDDV8PV3wsFZuHK74VX30srnhbXKs57uY47mNxxcPNRStiijjTz/NgxWPG911vgBvfBleLU0s61ZG0fKa+t5ljmYUEernxnzv60qfNuYegi4iINFUKvkREpNkzu5gcPbM6tDj/+Xa7ndzi8ooQrGpYZnxfckZwVlpuo6TcRkl+Cen5Fzah/7nqPRmCOUKyU8OyU14bx08GZ2bH90Fe7ni6a6imSI38f3v3Hh1Vfe99/DOZkEkIIVwCSQaDBERTYwAViAQ99pQ8Rg9F0SpCETB6WqsoYJQSbBNkIY1gS6nAgcJphecIKJ6KtdKyCinQUsI1gOURuUQIF01CuGQgMRdm9vNHyMCY62DInmTer7Vmhb2z9853fiTwXZ/s328bhrTxdemf86u3B/9YevBNKcB3fpb25J/Tf67YrfNlVerZpb2Wpw5S724dzC4LAADTEHwBAOAli8Wi8JB2Cg9pp9iI0EaPN4zqu8POX1mov7Tysi6VX9bFiuqPlyqqPLZLKy/rYvllXXJ//srHyssyjKt3qJV8XfWt3kdokFURYTZFdLApokOQurn/XP3qFhZ05aONaZqtnNPp1Ouvv653331XBQUFstvtevrpp/Xzn//cfffg008/rRUrVnicl5KSovXr1zd47UWLFumtt95SQUGB+vfvrwULFmjw4ME37L2YxlklfTxJ2r+qevt7GdJ9r1Q/ScNHrD9QoMnv7VXFZZf63xSu3z09SBEdfOdONAAAzEAXCwDADWaxXL1D69twuQyVVTlVWvHNYKzKc7vSMzC7eG2AduXPlU5X9VTNs2XKP1vW6NduH2R1B2Q1YVhEB5siwmzqdmVfzf7Qb/k+0fzmzJmjxYsXa8WKFYqPj9fu3buVmpqq8PBwTZo0yX3cgw8+qHfeece9bbM1HJq8//77SktL05IlS5SYmKj58+crJSVFhw4dUvfuTbh9srWoLJU+eFo68lfJYpVG/Ea6a5zZVXlY/s9jmvnJZzIMKfk73fX2mDsJrAEAEMEXAACtRsA1UxwjO17/dQzD0KWKyyq+VKniSxUqvlihM+6PV/ZdeZ25WKHyKpfKKp06ca5MJ841HpKFtLMqIswzDIvocE1AFmZTtysfQ4OsrFfWArZt26ZHHnlEw4cPlyT16tVLq1ev1s6dOz2Os9lsiopq+gLo8+bN049+9COlpqZKkpYsWaJ169bp97//vdLT05vvDZip9Ky0apR0ercUGCI9sVy67UGzq3JzuQxl/eWglv3jmCTpqXt66vUR8Qq0BphcGQAAvoHgCwAAP2OxWK4sst/4VM2aaZrFFz3DsDPXhGbV+yt15mKFvq5y6usqp042cdH/4HYB+vD5obrd/i2SPDQqKSlJS5cu1eHDh3Xrrbdq//792rp1q+bNm+dx3ObNm9W9e3d17txZ3/ve9/TGG2+oa9eudV6zsrJSe/bs0fTp0937AgIClJycrJycnHprqaioUEXF1XXuHA7Ht3x3N9CFE9L/PCadPSKFdJZ+uEaK8Z1pnOVVTr3ywX6t+/QrSdJPH7xNz9/fhzAZAIBrEHwBAIB6XTtNs1cT1jMrrbh8TUBW6b6T7OpdZNUBWfGlCpVVOlVe5VJ4+3Yt8E78W3p6uhwOh+Li4mS1WuV0OjV79myNHTvWfcyDDz6oxx57TLGxscrLy9Nrr72mhx56SDk5ObJaay/eXlxcLKfTqcjISI/9kZGR+vzzz+utJSsrSzNnzmy+N3ejFByQ3v2BdKlA6niTNO5DqdttZlfldqGsUj/+v3u08/g5tbNa9Nbj/TXyzh5mlwUAgM8h+AIAAM0m1BaoUFugbu7aeEhWVnlZxRcrFdUxuAUq829r1qzRypUrtWrVKsXHx2vfvn2aMmWK7Ha7JkyYIEkaPXq0+/iEhAT169dPffr00ebNmzVs2LBmq2X69OlKS0tzbzscDsXExDTb9ZvF8a3S6h9KFSVSt+9IT/1BCvedUOnkuTI9/c5O5Z0pVZgtUL8dd7eSbokwuywAAHwSwRcAADBF+6BA9exKK9ISpk6dqvT0dHe4lZCQoPz8fGVlZbmDr2/q3bu3IiIidPTo0TqDr4iICFmtVhUWFnrsLywsbHCdMJvN1uii+ab67I/SH34kOSuknkOkMaurpzn6iAOnS5S6fJfOXKxQdHiwlqcO1m1RYWaXBQCAz2LVSwAAgDaurKxMAQGebZ/VapXL5ar3nFOnTuns2bOKjo6u8/NBQUG6++67lZ2d7d7ncrmUnZ2tIUOGNE/hLW3Xf0trJlSHXnHfl8at9anQa9OhIo36bY7OXKxQXFSY1r4wlNALAIBGEHwBAAC0cSNGjNDs2bO1bt06HT9+XGvXrtW8efP06KOPSpIuXbqkqVOnavv27Tp+/Liys7P1yCOP6JZbblFKSor7OsOGDdPChQvd22lpaVq2bJlWrFihgwcP6vnnn1dpaan7KY+thmFIf5strXtFkiHd/bT0xAqpXYjZlbm9v+uE/nPFbpVVOnXvLRH64CdDFBXONGEAABrD/AIAAIA2bsGCBcrIyNALL7ygoqIi2e12Pffcc8rMzJRUfffXp59+qhUrVujChQuy2+164IEHNGvWLI9piXl5eSouLnZvP/nkkzpz5owyMzNVUFCgAQMGaP369bUWvPdpzsvSujQpd0X19v3p0nfTJR95MqJhGPr1xiN6O/uIJOmxu3rozcf6KSiQ318DANAUFsMwDLOLaIzD4VB4eLhKSkrUsSOPOwcAAI2jf2gdTP17qvpa+t9npEN/liwB0n/8Uhr0bMvW0IAqp0vTP/yX/nfPKUnSpO/dopf/z62y+EgoBwCAWbzpH7jjCwAAAP6n7Jy0eox0crtktUk/+G/p9ofNrsrtYnmVXliZq38cKZY1wKI3Rt6hMYN7ml0WAACtDsEXAAAA/EvJKendH0hnPpds4dVPbuw11Oyq3ApKypW6fJcOfuVQ+yCrFv3wLv17XHezywIAoFUi+AIAAID/KPpcevcxyXFaCouWnvqDFBlvdlVuhwsv6unf79SXJeWK6GDTO08PUsJN4WaXBQBAq0XwBQAAAP9wYoe0apRUfkHq2lca96HUyXemD27LK9Zz/7NHF8svq3e3UK1IHayYLu3NLgsAgFaN4AsAAABt3+d/lv43VbpcLt00SPrhGql9F7OrcvvjvtN69YP9qnIaGtSrs5aNH6hO7YPMLgsAgFaP4AsAAABt254V0idTJMMl9U2RnnhHCgo1uypJkmEYWrLlC81Z/7kk6T8SojRv1AAFt7OaXBkAAG0DwRcAAADaJsOQ/v5LadMb1dsDxkojfiNZ25lb1xVOl6EZHx/Qu9tPSJKevTdWP/uP7yggwGJyZQAAtB0EXwAAAGib9r57NfS6N00alilZfCNU+rrSqZdW79XGg4WyWKSM4bfrmXtjzS4LAIA2J+B6Tlq0aJF69eql4OBgJSYmaufOnfUeu2zZMt13333q3LmzOnfurOTk5AaPBwAAAJpFwhNSr/ukh+ZKyTN8JvQqvlSh0cu2a+PBQtkCA/RfP7yL0AsAgBvE6+Dr/fffV1pammbMmKHc3Fz1799fKSkpKioqqvP4zZs3a8yYMdq0aZNycnIUExOjBx54QKdPn/7WxQMAAAD1ahcsjf+jlPic2ZW4HSsu1WP/tU37T15Qp/bttOpHiXooIdrssgAAaLMshmEY3pyQmJioQYMGaeHChZIkl8ulmJgYvfTSS0pPT2/0fKfTqc6dO2vhwoUaP358k76mw+FQeHi4SkpK1LFjR2/KBQAAfor+oXXwp7+nPfnn9Z8rdul8WZViuoRoeepg9enWweyyAABodbzpH7y646uyslJ79uxRcnLy1QsEBCg5OVk5OTlNukZZWZmqqqrUpUv9j4+uqKiQw+HweAEAAACtVfbBQv1w2XadL6tSv5vC9eHzQwm9AABoAV4FX8XFxXI6nYqMjPTYHxkZqYKCgiZdY9q0abLb7R7h2TdlZWUpPDzc/YqJifGmTAAAAMBnuFyGpv3hU1VcdmlYXHe99+N71C3MZnZZAAD4heta3P56vfnmm3rvvfe0du1aBQcH13vc9OnTVVJS4n6dPHmyBasEAAAAms/BAoeKL1UqNMiqxU/drfZBPFgdAICW4tX/uhEREbJarSosLPTYX1hYqKioqAbP/eUvf6k333xTGzduVL9+/Ro81mazyWbjt2AAAABo/XLyzkqSBsd2UVBgi/7eGQAAv+fV/7xBQUG6++67lZ2d7d7ncrmUnZ2tIUOG1Hve3LlzNWvWLK1fv14DBw68/moBAACAVmbbleArqU+EyZUAAOB/vL7POi0tTRMmTNDAgQM1ePBgzZ8/X6WlpUpNTZUkjR8/Xj169FBWVpYkac6cOcrMzNSqVavUq1cv91pgHTp0UIcOLOgJAACAtqvK6dKOL6qDryF9uppcDQAA/sfr4OvJJ5/UmTNnlJmZqYKCAg0YMEDr1693L3h/4sQJBQRcvZFs8eLFqqys1OOPP+5xnRkzZuj111//dtUDAAAAPuzTUyUqrXSqU/t2uj264cetAwCA5nddK2u++OKLevHFF+v83ObNmz22jx8/fj1fAgAAAGj1cvKKJUlDendVQIDF5GoAAPA/rK4JAAAA3CBX1/dimiMAAGYg+AIAAABugPIqp3bnn5ckDWFhewAATEHwBQAAANwAufnnVXnZpe5hNvXpFmp2OQAA+CWCLwAAAOAGqJnmOPSWCFksrO8FAIAZCL4AAACAG2BbzcL2rO8FAIBpCL4AAACAZnap4rL2nyqRxML2AACYieALAAAAaGY7j52V02WoZ5f2uqlze7PLAQDAbxF8AQAAAM1s29Ga9b242wsAADMRfAEAAADNrGZh+yF9IkyuBAAA/0bwBQAAADSj86WV+uwrhyRpSG/u+AIAwEwEXwAAAEAzyvmi+m6vWyM7qFuYzeRqAADwbwRfAAAAQDPallcsSUpimiMAAKYj+AIAAACaUc36Xkl9mOYIAIDZCL4AAACAZlJQUq4vzpQqwCIlsr4XAACmI/gCAAAAmknNNMc7eoQrPKSdydUAAACCLwAAAKCZXJ3myPpeAAD4AoIvAAAAoBkYhqEc1vcCAMCnEHwBAAAAzeDEuTKdvvC12lktGtirs9nlAAAAEXwBAAC0eU6nUxkZGYqNjVVISIj69OmjWbNmyTAMSVJVVZWmTZumhIQEhYaGym63a/z48fryyy8bvO7rr78ui8Xi8YqLi2uJt+ST/nm0+m6vO2M6q31QoMnVAAAASeJ/ZAAAgDZuzpw5Wrx4sVasWKH4+Hjt3r1bqampCg8P16RJk1RWVqbc3FxlZGSof//+On/+vCZPnqyHH35Yu3fvbvDa8fHx2rhxo3s7MNB/28uahe2HMM0RAACf4b+dCQAAgJ/Ytm2bHnnkEQ0fPlyS1KtXL61evVo7d+6UJIWHh2vDhg0e5yxcuFCDBw/WiRMn1LNnz3qvHRgYqKioqBtXfCtx7fpeQ29hYXsAAHwFUx0BAADauKSkJGVnZ+vw4cOSpP3792vr1q166KGH6j2npKREFotFnTp1avDaR44ckd1uV+/evTV27FidOHGiweMrKirkcDg8Xm3B4cJLOltaqeB2ARoQ08nscgAAwBXc8QUAANDGpaeny+FwKC4uTlarVU6nU7Nnz9bYsWPrPL68vFzTpk3TmDFj1LFjx3qvm5iYqOXLl+u2227TV199pZkzZ+q+++7TgQMHFBYWVuc5WVlZmjlzZrO8L19SM81xUK8uCgrkd8sAAPgKgi8AAIA2bs2aNVq5cqVWrVql+Ph47du3T1OmTJHdbteECRM8jq2qqtKoUaNkGIYWL17c4HWvvWOsX79+SkxM1M0336w1a9bo2WefrfOc6dOnKy0tzb3tcDgUExPzLd6db6hZ2D6pD9McAQDwJQRfAAAAbdzUqVOVnp6u0aNHS5ISEhKUn5+vrKwsj+CrJvTKz8/X3/72twbv9qpLp06ddOutt+ro0aP1HmOz2WSz2a7vjfioy06XdnxRs74XC9sDAOBLuA8bAACgjSsrK1NAgGfbZ7Va5XK53Ns1odeRI0e0ceNGde3qfYBz6dIl5eXlKTo6+lvX3Jr8vy8dulhxWWHBgYq3h5tdDgAAuAbBFwAAQBs3YsQIzZ49W+vWrdPx48e1du1azZs3T48++qik6tDr8ccf1+7du7Vy5Uo5nU4VFBSooKBAlZWV7usMGzZMCxcudG+/+uqr2rJli44fP65t27bp0UcfldVq1ZgxY1r8PZpp25WnOd7Tu6usARaTqwEAANdiqiMAAEAbt2DBAmVkZOiFF15QUVGR7Ha7nnvuOWVmZkqSTp8+rY8//liSNGDAAI9zN23apO9+97uSpLy8PBUXF7s/d+rUKY0ZM0Znz55Vt27ddO+992r79u3q1q1bi7wvX1GzsH1SH6Y5AgDgayyGYRhmF9EYh8Oh8PBwlZSUeL3WBAAA8E/0D61Da/97qrjsVP+Zf1V5lUt/ffnfdGtk3U+zBAAAzceb/oGpjgAAAMB12nfigsqrXIroEKS+3TuYXQ4AAPgGgi8AAADgOtWs7zWkT4QsFtb3AgDA1xB8AQAAANeJ9b0AAPBtBF8AAADAdSirvKy9Jy5Ikob2iTC3GAAAUCeCLwAAAOA67Dp+Xpddhnp0ClFMlxCzywEAAHUg+AIAAACuw7XTHFnfCwAA30TwBQAAAFyHbUerF7ZPuoX1vQAA8FUEXwAAAICXSsqqdODLEklSEut7AQDgswi+AAAAAC9tP3ZWhiH16RaqyI7BZpcDAADqQfAFAAAAeCkn78o0R+72AgDApxF8AQAAAF66dmF7AADguwi+AAAAAC8UXSzX4cJLslike3oTfAEA4MsIvgAAAAAv1ExzvD26ozqHBplcDQAAaAjBFwAAAOCFq+t7cbcXAAC+juALAAAA8MI2FrYHAKDVIPgCAAAAmujkuTKdOFemwACLBsV2MbscAADQCIIvAAAAoIlqpjn2j+mkDrZAk6sBAACNIfgCAAAAmmhbXrEk1vcCAKC1IPgCAAAAmsAwDPf6XkMIvgAAaBUIvgAAAIAmyDtzSUUXK2QLDNBdPTubXQ4AAGgCgi8AAACgCWru9hrYq7OC21lNrgYAADQFwRcAAADQBNuOVgdfSX0iTK4EAAA0FcEXAAAA0AiXy1DOF6zvBQBAa0PwBQAAADTis68cKvm6Sh1sgerXI9zscgAAQBMRfAEAAACN2JZXLEkaHNtFgVZaaAAAWgv+1wYAAAAaUbOwfRLTHAEAaFUIvgAAAIAGVDld2nnsnCQWtgcAoLUh+AIAAAAa8OmpCyqrdKpz+3aKiwozuxwAAOAFgi8AAACgAf88evVpjgEBFpOrAQAA3iD4AgAAABpQs7A90xwBAGh9CL4AAACAepRXOZWbf0ESC9sDANAaEXwBAAAA9diTf16VTpeiOgYrNiLU7HIAAICXCL4AAACAevzzaM00x66yWFjfCwCA1obgCwAAAKjHtrzqhe2TbmF9LwAAWiOCLwAAAKAOjvIqfXrqgqTqJzoCAIDWh+ALAAAAqMOuY+fkMqReXdurR6cQs8sBAADXgeALAAAAqMM/j1ZPcxzSh2mOAAC0VtcVfC1atEi9evVScHCwEhMTtXPnzgaP/+CDDxQXF6fg4GAlJCToz3/+83UVCwAAAO85nU5lZGQoNjZWISEh6tOnj2bNmiXDMNzHGIahzMxMRUdHKyQkRMnJyTpy5Eij1/a2L2xNtuVVL2w/9BamOQIA0Fp5HXy9//77SktL04wZM5Sbm6v+/fsrJSVFRUVFdR6/bds2jRkzRs8++6z27t2rkSNHauTIkTpw4MC3Lh4AAACNmzNnjhYvXqyFCxfq4MGDmjNnjubOnasFCxa4j5k7d67efvttLVmyRDt27FBoaKhSUlJUXl5e73W97Qtbk7OXKvR5wUVJ0j29Cb4AAGitLMa1v+prgsTERA0aNEgLFy6UJLlcLsXExOill15Senp6reOffPJJlZaW6pNPPnHvu+eeezRgwAAtWbKkSV/T4XAoPDxcJSUl6tixozflAgAAP0X/cNX3v/99RUZG6ne/+5173w9+8AOFhITo3XfflWEYstvteuWVV/Tqq69KkkpKShQZGanly5dr9OjRdV7X276wLr7697Tu0680cVWu4qLCtH7Kv5ldDgAAuIY3/UOgNxeurKzUnj17NH36dPe+gIAAJScnKycnp85zcnJylJaW5rEvJSVFH330Ub1fp6KiQhUVFe7tkpISSdVvDAAAoClq+gYvf8fXJiUlJWnp0qU6fPiwbr31Vu3fv19bt27VvHnzJEnHjh1TQUGBkpOT3eeEh4crMTFROTk5dQZf19MXSq2nz9v0r+NyVZTpzugIn6sNAAB/502f51XwVVxcLKfTqcjISI/9kZGR+vzzz+s8p6CgoM7jCwoK6v06WVlZmjlzZq39MTEx3pQLAACgixcvKjw83OwyTJWeni6Hw6G4uDhZrVY5nU7Nnj1bY8eOlSR3X+ZNz3Y9faHU+vq8N6+8AACA72lKn+dV8NVSpk+f7nGXmMvl0rlz59S1a1dZLBYTK7uxHA6HYmJidPLkSZ+61d9MjIknxqM2xqQ2xsQT41Gbv4yJYRi6ePGi7Ha72aWYbs2aNVq5cqVWrVql+Ph47du3T1OmTJHdbteECRNatBb6vLb9c+cNxsQT41EbY1IbY+KJ8ajNX8bEmz7Pq+ArIiJCVqtVhYWFHvsLCwsVFRVV5zlRUVFeHS9JNptNNpvNY1+nTp28KbVV69ixY5v+Br0ejIknxqM2xqQ2xsQT41GbP4yJv9/pVWPq1KlKT093T1lMSEhQfn6+srKyNGHCBHdfVlhYqOjoaPd5hYWFGjBgQJ3XvJ6+UKLP84efO28xJp4Yj9oYk9oYE0+MR23+MCZN7fO8eqpjUFCQ7r77bmVnZ7v3uVwuZWdna8iQIXWeM2TIEI/jJWnDhg31Hg8AAIDmVVZWpoAAz7bParXK5XJJkmJjYxUVFeXRszkcDu3YsaPenu16+kIAAICW5vVUx7S0NE2YMEEDBw7U4MGDNX/+fJWWlio1NVWSNH78ePXo0UNZWVmSpMmTJ+v+++/Xr371Kw0fPlzvvfeedu/eraVLlzbvOwEAAECdRowYodmzZ6tnz56Kj4/X3r17NW/ePD3zzDOSJIvFoilTpuiNN95Q3759FRsbq4yMDNntdo0cOdJ9nWHDhunRRx/Viy++KKnxvhAAAMBsXgdfTz75pM6cOaPMzEwVFBRowIABWr9+vXth0xMnTnj8RjEpKUmrVq3Sz3/+c7322mvq27evPvroI91xxx3N9y7aCJvNphkzZtS6/d+fMSaeGI/aGJPaGBNPjEdtjIn/WbBggTIyMvTCCy+oqKhIdrtdzz33nDIzM93H/PSnP1Vpaal+/OMf68KFC7r33nu1fv16BQcHu4/Jy8tTcXGxe7uxvhBX8XNXG2PiifGojTGpjTHxxHjUxpjUZjF4xjcAAAAAAADaIK/W+AIAAAAAAABaC4IvAAAAAAAAtEkEXwAAAAAAAGiTCL4AAAAAAADQJhF8+YCsrCwNGjRIYWFh6t69u0aOHKlDhw6ZXZbPePPNN92PWfdnp0+f1lNPPaWuXbsqJCRECQkJ2r17t9llmcLpdCojI0OxsbEKCQlRnz59NGvWLPnTszr+/ve/a8SIEbLb7bJYLProo488Pm8YhjIzMxUdHa2QkBAlJyfryJEj5hTbQhoak6qqKk2bNk0JCQkKDQ2V3W7X+PHj9eWXX5pXcAto7PvkWj/5yU9ksVg0f/78FqsP8Af0eQ2jz6tGn+fJ33s9+rza6PNqo89rOoIvH7BlyxZNnDhR27dv14YNG1RVVaUHHnhApaWlZpdmul27dum3v/2t+vXrZ3Yppjp//ryGDh2qdu3a6S9/+Ys+++wz/epXv1Lnzp3NLs0Uc+bM0eLFi7Vw4UIdPHhQc+bM0dy5c7VgwQKzS2sxpaWl6t+/vxYtWlTn5+fOnau3335bS5Ys0Y4dOxQaGqqUlBSVl5e3cKUtp6ExKSsrU25urjIyMpSbm6sPP/xQhw4d0sMPP2xCpS2nse+TGmvXrtX27dtlt9tbqDLAf9Dn1Y8+rxp9Xm3+3uvR59VGn1cbfZ4XDPicoqIiQ5KxZcsWs0sx1cWLF42+ffsaGzZsMO6//35j8uTJZpdkmmnTphn33nuv2WX4jOHDhxvPPPOMx77HHnvMGDt2rEkVmUuSsXbtWve2y+UyoqKijLfeesu978KFC4bNZjNWr15tQoUt75tjUpedO3cakoz8/PyWKcpk9Y3JqVOnjB49ehgHDhwwbr75ZuPXv/51i9cG+BP6vGr0eVfR59VGr3cVfV5t9Hm10ec1jDu+fFBJSYkkqUuXLiZXYq6JEydq+PDhSk5ONrsU03388ccaOHCgnnjiCXXv3l133nmnli1bZnZZpklKSlJ2drYOHz4sSdq/f7+2bt2qhx56yOTKfMOxY8dUUFDg8bMTHh6uxMRE5eTkmFiZbykpKZHFYlGnTp3MLsU0LpdL48aN09SpUxUfH292OYBfoM+rRp93FX1ebfR69aPPaxr6PPq8awWaXQA8uVwuTZkyRUOHDtUdd9xhdjmmee+995Sbm6tdu3aZXYpP+OKLL7R48WKlpaXptdde065duzRp0iQFBQVpwoQJZpfX4tLT0+VwOBQXFyer1Sqn06nZs2dr7NixZpfmEwoKCiRJkZGRHvsjIyPdn/N35eXlmjZtmsaMGaOOHTuaXY5p5syZo8DAQE2aNMnsUgC/QJ9XjT7PE31ebfR69aPPaxx9XjX6vKsIvnzMxIkTdeDAAW3dutXsUkxz8uRJTZ48WRs2bFBwcLDZ5fgEl8ulgQMH6he/+IUk6c4779SBAwe0ZMkSv2yI1qxZo5UrV2rVqlWKj4/Xvn37NGXKFNntdr8cD3inqqpKo0aNkmEYWrx4sdnlmGbPnj36zW9+o9zcXFksFrPLAfwCfR59Xl3o82qj18P1os+rRp/niamOPuTFF1/UJ598ok2bNummm24yuxzT7NmzR0VFRbrrrrsUGBiowMBAbdmyRW+//bYCAwPldDrNLrHFRUdH6/bbb/fY953vfEcnTpwwqSJzTZ06Venp6Ro9erQSEhI0btw4vfzyy8rKyjK7NJ8QFRUlSSosLPTYX1hY6P6cv6pphvLz87Vhwwa//i3gP/7xDxUVFalnz57uf2vz8/P1yiuvqFevXmaXB7Q59HnV6PNqo8+rjV6vfvR59aPPu4o+zxN3fPkAwzD00ksvae3atdq8ebNiY2PNLslUw4YN07/+9S+PfampqYqLi9O0adNktVpNqsw8Q4cOrfXo88OHD+vmm282qSJzlZWVKSDAM7e3Wq1yuVwmVeRbYmNjFRUVpezsbA0YMECS5HA4tGPHDj3//PPmFmeimmboyJEj2rRpk7p27Wp2SaYaN25crbV1UlJSNG7cOKWmpppUFdD20Od5os+rjT6vNnq9+tHn1Y0+zxN9nieCLx8wceJErVq1Sn/84x8VFhbmnpsdHh6ukJAQk6treWFhYbXWvQgNDVXXrl39dj2Ml19+WUlJSfrFL36hUaNGaefOnVq6dKmWLl1qdmmmGDFihGbPnq2ePXsqPj5ee/fu1bx58/TMM8+YXVqLuXTpko4ePerePnbsmPbt26cuXbqoZ8+emjJlit544w317dtXsbGxysjIkN1u18iRI80r+gZraEyio6P1+OOPKzc3V5988omcTqf739ouXbooKCjIrLJvqMa+T77ZFLZr105RUVG67bbbWrpUoM2iz/NEn1cbfV5t/t7r0efVRp9XG32eF8x9qCQMo/rRo3W93nnnHbNL8xn+/phrwzCMP/3pT8Ydd9xh2Gw2Iy4uzli6dKnZJZnG4XAYkydPNnr27GkEBwcbvXv3Nn72s58ZFRUVZpfWYjZt2lTnvxsTJkwwDKP6UdcZGRlGZGSkYbPZjGHDhhmHDh0yt+gbrKExOXbsWL3/1m7atMns0m+Yxr5PvsmfH3MN3Cj0eY2jz6PP+yZ/7/Xo82qjz6uNPq/pLIZhGM0ZpAEAAAAAAAC+gMXtAQAAAAAA0CYRfAEAAAAAAKBNIvgCAAAAAABAm0TwBQAAAAAAgDaJ4AsAAAAAAABtEsEXAAAAAAAA2iSCLwAAAAAAALRJBF8AAAAAAABokwi+AAAAAAAA0CYRfAEAAAAAAKBNIvgCAAAAAABAm0TwBQAAAAAAgDbp/wN4NPJGgv9CrwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1500x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "result_list = []\n",
    "for epoch in range(1, EPOCHS + 1):\n",
    "  train_loss, train_accuracy = train(model, train_loader)\n",
    "  val_loss, val_accuracy = evaluate(model, val_loader)\n",
    "  print(f\"[EPOCH: {epoch}], \\tTrain Loss: {train_loss:.4f}, \\tTrain Accuracy: {train_accuracy:.2f} %, \\tVal Loss: {val_loss:.4f}, \\tVal Accuracy: {val_accuracy:.2f} % \\n\")\n",
    "  result = {\n",
    "    'EPOCH': epoch,\n",
    "    'Train Loss': train_loss,\n",
    "    'Train Accuracy': train_accuracy,\n",
    "    'Val Loss': val_loss,\n",
    "    'Val Accuracy': val_accuracy}\n",
    "  \n",
    "  result_list.append(result)\n",
    "result_df = pd.DataFrame(result_list)\n",
    "\n",
    "fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(15, 5))\n",
    "\n",
    "axes[0].plot(result_df['EPOCH'], result_df['Train Loss'], label='Train Loss')\n",
    "axes[0].plot(result_df['EPOCH'], result_df['Val Loss'], label='Val Loss')\n",
    "axes[0].set_ylim(0.0, 1)\n",
    "axes[0].legend()\n",
    "axes[0].set_title('Loss')\n",
    "\n",
    "axes[1].plot(result_df['EPOCH'], result_df['Train Accuracy'], label='Train Accuracy')\n",
    "axes[1].plot(result_df['EPOCH'], result_df['Val Accuracy'], label='Val Accuracy')\n",
    "axes[1].set_ylim(80, 100)\n",
    "axes[1].legend()\n",
    "axes[1].set_title('ACC')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "72c7b416",
   "metadata": {},
   "source": [
    "## 결론을 작성해주세요:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "dab274f4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\\n처음에 CNN으로 conv2D로 모델링을 구축하다가 데이터 형태가 맞지 않은 것을 파악할 수 있었다.\\n따라서 MLP로 모델링을 진행했다.\\nOptimization 전략 - ADAM 이용\\nRegularization - dropout 이용\\nInitialization - xavier Initialization 이용\\nNormalization - Batch Normalization 이용\\n배치 사이즈를 128 256 512로 각각 나눠서 진행했을 때, 128보단 256, 512 사이즈가 더 좋은 성능을 보였다.\\n하지만 256과 512를 비교 했을 때는 눈에 띠는 큰 차이를 볼 수는 없었지만, \\nLoss와 ACC 그래프를 봤을 때, 256이 미세하게 더 좋은 성능을 보인 것으로 판단된다.\\n'"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "처음에 CNN으로 conv2D로 모델링을 구축하다가 데이터 형태가 맞지 않은 것을 파악할 수 있었다.\n",
    "따라서 MLP로 모델링을 진행했다.\n",
    "Optimization 전략 - ADAM 이용\n",
    "Regularization - dropout 이용\n",
    "Initialization - xavier Initialization 이용\n",
    "Normalization - Batch Normalization 이용\n",
    "배치 사이즈를 128 256 512로 각각 나눠서 진행했을 때, 128보단 256, 512 사이즈가 더 좋은 성능을 보였다.\n",
    "하지만 256과 512를 비교 했을 때는 눈에 띄는 차이는 아니지만, 미세하게 512 사이즈가 성능이 더 좋은 것으로 판단되었다.\n",
    "'''"
   ]
  }
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