stl-cnn-cifar100-100classes.ipynb

{
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   "source": [
    "# Single-Task Learning on Cifar100 Dataset (100 Classes): A CNN Approach\n",
    "- **Name**: Minh T. Nguyen & Peter Chen.\n",
    "- **ECE 6524** - Final Project.\n",
    "- **Date**: 4/18/2023.\n",
    "- **Objective**: Build a Single Task CNN model using ResNet152 architecture for 100-classes image classification on Cifar100."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "6337dd26",
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   "source": [
    "# import libraries\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# import tensorflow\n",
    "import tensorflow as tf\n",
    "from keras.datasets import cifar100\n",
    "from keras.utils import np_utils, plot_model\n",
    "from keras.layers import Input, Dropout, Flatten, Dense\n",
    "from keras.applications.resnet import ResNet152, preprocess_input\n",
    "from keras import Model, Sequential"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13431d6b",
   "metadata": {
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     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# 1. Data Visualization & Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "af70ffb0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:18:40.847230Z",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "num_classes = 100         # number of classes\n",
    "input_shape = (32, 32, 3) # original input image size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a8b8f202",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:18:40.872934Z",
     "iopub.status.busy": "2023-04-22T23:18:40.872628Z",
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    },
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     "duration": 7.079302,
     "end_time": "2023-04-22T23:18:47.941978",
     "exception": false,
     "start_time": "2023-04-22T23:18:40.862676",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading data from https://www.cs.toronto.edu/~kriz/cifar-100-python.tar.gz\n",
      "169001437/169001437 [==============================] - 5s 0us/step\n"
     ]
    }
   ],
   "source": [
    "# download data from Keras API\n",
    "(X_train, y_train), (X_test, y_test) = cifar100.load_data()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "998a6657",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:18:47.972229Z",
     "iopub.status.busy": "2023-04-22T23:18:47.971273Z",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X=(50000, 32, 32, 3), y=(50000, 1)\n",
      "X=(10000, 32, 32, 3), y=(10000, 1)\n"
     ]
    }
   ],
   "source": [
    "# check dataset size\n",
    "print(f\"X={X_train.shape}, y={y_train.shape}\")\n",
    "print(f\"X={X_test.shape}, y={y_test.shape}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f95a2f13",
   "metadata": {
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     "exception": false,
     "start_time": "2023-04-22T23:18:47.994255",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## 1.1. Data Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "565ab2ca",
   "metadata": {
    "execution": {
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   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 640x480 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the 9 images\n",
    "f, axarr = plt.subplots(3,3)\n",
    "axarr[0,0].imshow(X_train[10])\n",
    "axarr[0,1].imshow(X_train[11])\n",
    "axarr[0,2].imshow(X_train[12])\n",
    "axarr[1,0].imshow(X_train[13])\n",
    "axarr[1,1].imshow(X_train[14])\n",
    "axarr[1,2].imshow(X_train[15])\n",
    "axarr[2,0].imshow(X_train[16])\n",
    "axarr[2,1].imshow(X_train[17])\n",
    "axarr[2,2].imshow(X_train[18])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "190e8f61",
   "metadata": {
    "papermill": {
     "duration": 0.014088,
     "end_time": "2023-04-22T23:18:48.668054",
     "exception": false,
     "start_time": "2023-04-22T23:18:48.653966",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## 1.2. Data Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9ca7eadc",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:18:48.697498Z",
     "iopub.status.busy": "2023-04-22T23:18:48.697177Z",
     "iopub.status.idle": "2023-04-22T23:18:49.050283Z",
     "shell.execute_reply": "2023-04-22T23:18:49.049253Z"
    },
    "papermill": {
     "duration": 0.370861,
     "end_time": "2023-04-22T23:18:49.052846",
     "exception": false,
     "start_time": "2023-04-22T23:18:48.681985",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# normalize input data\n",
    "X_train = preprocess_input(X_train)\n",
    "X_test = preprocess_input(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1f1af94d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:18:49.083122Z",
     "iopub.status.busy": "2023-04-22T23:18:49.082805Z",
     "iopub.status.idle": "2023-04-22T23:18:49.103665Z",
     "shell.execute_reply": "2023-04-22T23:18:49.102352Z"
    },
    "papermill": {
     "duration": 0.038337,
     "end_time": "2023-04-22T23:18:49.105906",
     "exception": false,
     "start_time": "2023-04-22T23:18:49.067569",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "y_train:  (50000, 100)\n",
      "y_test:  (10000, 100)\n"
     ]
    }
   ],
   "source": [
    "# convert class into one hot encoder\n",
    "y_train = np_utils.to_categorical(y_train)\n",
    "y_test = np_utils.to_categorical(y_test)\n",
    "\n",
    "print('y_train: ',y_train.shape)\n",
    "print('y_test: ',y_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f16193b",
   "metadata": {
    "papermill": {
     "duration": 0.014183,
     "end_time": "2023-04-22T23:18:49.134149",
     "exception": false,
     "start_time": "2023-04-22T23:18:49.119966",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# 2. Modeling\n",
    "**Note**: Build a sequential model using ResNet152 architecture"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "915b6d47",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:18:49.164099Z",
     "iopub.status.busy": "2023-04-22T23:18:49.163762Z",
     "iopub.status.idle": "2023-04-22T23:18:49.170636Z",
     "shell.execute_reply": "2023-04-22T23:18:49.169608Z"
    },
    "papermill": {
     "duration": 0.024145,
     "end_time": "2023-04-22T23:18:49.172740",
     "exception": false,
     "start_time": "2023-04-22T23:18:49.148595",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Define ResNet152 CNN model\n",
    "def create_model(dropout):\n",
    "    input_shape = (32, 32, 3)\n",
    "    \n",
    "    resnet152_base = ResNet152(weights=None, include_top=False, input_shape=input_shape)\n",
    "    \n",
    "    model = Sequential()\n",
    "    \n",
    "    model.add(resnet152_base)\n",
    "    model.add(Flatten())\n",
    "    model.add(Dense(2048, activation='relu'))\n",
    "    model.add(Dense(1024, activation='relu'))\n",
    "    model.add(Dropout(dropout))\n",
    "    model.add(Dense(512, activation='relu'))\n",
    "    model.add(Dense(256, activation='relu'))\n",
    "    model.add(Dense(128, activation='relu'))\n",
    "    model.add(Dense(100, activation='softmax'))\n",
    "    \n",
    "    return model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9b87eb40",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:18:49.202604Z",
     "iopub.status.busy": "2023-04-22T23:18:49.201728Z",
     "iopub.status.idle": "2023-04-22T23:18:57.066063Z",
     "shell.execute_reply": "2023-04-22T23:18:57.064855Z"
    },
    "papermill": {
     "duration": 7.882345,
     "end_time": "2023-04-22T23:18:57.069262",
     "exception": false,
     "start_time": "2023-04-22T23:18:49.186917",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " resnet152 (Functional)      (None, 1, 1, 2048)        58370944  \n",
      "                                                                 \n",
      " flatten (Flatten)           (None, 2048)              0         \n",
      "                                                                 \n",
      " dense (Dense)               (None, 2048)              4196352   \n",
      "                                                                 \n",
      " dense_1 (Dense)             (None, 1024)              2098176   \n",
      "                                                                 \n",
      " dropout (Dropout)           (None, 1024)              0         \n",
      "                                                                 \n",
      " dense_2 (Dense)             (None, 512)               524800    \n",
      "                                                                 \n",
      " dense_3 (Dense)             (None, 256)               131328    \n",
      "                                                                 \n",
      " dense_4 (Dense)             (None, 128)               32896     \n",
      "                                                                 \n",
      " dense_5 (Dense)             (None, 100)               12900     \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 65,367,396\n",
      "Trainable params: 65,215,972\n",
      "Non-trainable params: 151,424\n",
      "_________________________________________________________________\n",
      "None\n"
     ]
    },
    {
     "data": {
      "image/png": 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h8/l+fn6JiYllZWXmXtf69es1J6qRj+5ksViBgYH9rff/qieZ6tGd169fRwjFxMQYv2rtGNswIzP+m0cYDunx5hGCIK5fv+7k5PTFF1+QKeQrYnt9I0lxcTHtdVAMUVFRgRCaMmVKWVlZR0dHdXX13LlzEUJr1qwh8yxatIjNZu/atau+vl6lUv3yyy+jR4+2tLTUfK+dedVVVVXl5eW1efPmXksw+9dBmTz2CQQCzXdZEgxoGEMYOSj3tTuYU74+QVmpVHp4eNCCr0wm4/F4jo6OCCHaOyEJZgdlNpvd3NxMpnR2djo6OvJ4PLVajVMWLVq0ZMkS6rdKS0sRQn5+fmZdF/Hf10H1eiTA66AAMBsZGRlyuTw9PZ2WbmVllZOTY2FhkZycfOfOHZO0rb9GjRrV1dXl4OBApnC5XE9Pz87OTrIfJisra//+/dRvicViPp9fXV1N9OfJ40yrCxceFxe3Zs2a7u5u3Qt/LgjKABgPQRBZWVmTJk1yc3PTXCqVSjdv3tzW1hYfH0/rXDYXLS0td+/eDQgIEAqFfeVRqVQdHR1jx47V84f7TKhr1qxZtbW1p0+f1qdwGiYG5by8PLKz/Pfff09ISLC3t3d0dIyKiqqursZ5MjMzcQYPDw+ZTBYREWFra2ttbR0WFlZYWIjzbN26FecJCgrCKefOncMpTk5O1HJUKlVhYSFexGb3420s3d3dx48fnzp1qouLC5/P9/f33717d09PD0KopaWFOkSzdetWnJ9MiYuLw4UoFIrU1FT8MnNnZ+fY2Fh8z0XbFLdv3549e7ajoyP+2NjYqO+GHgT4rfU+Pj5cLtfBwWH69OkXL17Ei/TZHQzZ3forKytraGgQi8V9Zfjggw8iIyNv3LiRkpKipRwt21mX0wfTcuANQGtra2FhYXR0tIuLy+HDh7XkxD8Q3bRp0wtQ1/jx4xFCP/7444DL7wW1L4NRfcoxMTE4saioqL29/fz583w+f+LEidQ8YrFYIBBMnjwZ55HJZOPGjeNyuZcuXSLzaHYgSiQSWg/dgPuU8/PzEULbt29vbm5WKBSff/65hYVFWloamUEqlVpYWFRVVVG/NXny5JycHPx3XV3dK6+8IhKJTp8+3dbWdvPmzZCQECsrq6KiItqmCAkJuXjxokqlKikpsbS0VCgUfbXK4HTsU66vr/fy8hKJRPn5+Uql8vbt27GxsSwW6+DBg2QefXbHYO/usLCwIUOGFBcXP3dN0UD7lHHi9u3baZllMplQKMR/KxQKT09PhBAe7ic0+pR12c7PPX10OfB0R74cOjQ09MaNG1pyyuVykUiUlJQ0gFoYWJdSqUQIBQcH09JfzIE+fFTl5+eTKfjSkhqM8BXH9evXyZQbN24ghMRiMZky2EE5NDSUmjJv3jwOh6NUKvFH/C902bJlZIbLly+7u7s/ffoUf1ywYAFCiIzRBEHU19fzeDyJRELbFGfOnOmrGYNNx6C8cOFChNC3335LpqjVajc3Nz6fL5fLcYqeQXlQd3dISIiDg4MuUWnAQTkjIwMhtHfvXlpmalAmCKK4uJjD4QgEgoqKCkIjKOuynZ97+uhy4PVLZ2dnRUXFu+++a2lp+fHHH/eap7Gxcfz48QkJCd3d3QOrhYF1sVgsX19fWuKLPNA3ceJE8m98+VBXV0fNIBAI8B0E5u/v7+bmVlZWVl9fb4TmRUVFkbeNmFgs7urqKi8vxx8jIyP9/f3/+c9/NjU14ZRPPvkkJSWFw+Hgj3l5eRYWFlFRUWQJLi4uY8aMuXr1am1tLbXk119/fRDXxBBOnjyJEJoxYwaZwuPxIiIiOjo6DHV/N6i7+9KlS83NzYP67DfcU0zu/b4EBgZmZmaqVKr4+PiOjg7aUt23s5bTR/cDT0dcLnfUqFFfffVVdHR0enr6hQsXaBlUKpVUKh09enROTo6lpeUAqmBmXWw2W3Mf6YPpQZnarc7lchFCuMeWZG9vT/vK0KFDEUJ//PHH4LcOKZXK9PR0f39/BwcH3Iu3du1ahNCTJ0/IPKtWrXry5MmXX36JELpz587PP/+8ZMkSvKizs1OpVPb09AiFQmoH9LVr1xBCd+/epdYlEAiMsEYDhtfFysrK1taWmi4SiRBCcrncILWYdnfrz8rKCiHU1dX13JypqakJCQk3b95csWIFNb1f27mv06dfB15/zZw5EyF06tQpamJ3d3d8fLy7u/s333yjZ5RkVF24Oj6fb6haEPOD8nM1NTURf57sgs9PfK4ihCwsLJ4+fUrN0NLSQitkwCOzM2fO3LJly+LFi+/cudPT00MQBH70MLVJiYmJIpFoz549nZ2d//jHPxYsWEBOteHxePb29mw2u6urS/O+JiwsbGCtMgkejycUCtVqdVtbGzW9oaEBIeTi4oI/6rk7TLu79efq6ooQwh2Rz5WVlTVy5Mjs7GzcE4LpuJ21G9QDj8fjIYSam5upicnJyZ2dnbm5ueTIqq+vb0lJiT4VMaGu1tZWgiDwbjUUsw/KarWa/DUUQui3336rq6sTi8XkZnJ1dX306BGZQS6XP3jwgFaItbU1eSaPHDnywIEDz62XzWaXl5cXFha6uLikpqY6OzvjU13zRobH4y1btuyPP/74xz/+kZOTs3LlSurS2NjY7u5ucgoBtnPnzmHDhhl28qMRzJo1CyFEnR7U2dlZUFDA5/OlUilO0XN3mGp3G8rYsWMRQjr2D9jY2Hz//fcCgQDfZpF02c7PZZADLy0tbd68ebTEs2fPoj/3nHz44Yfl5eU//PADjmsDw8C6EEL4YMO71WCo/yEZONDX0dFBpqxbtw79eZxHLBYLhcKIiAgtw/H47u+LL75oa2urqqqaPXu2u7s7beRn2rRpQqHwwYMHRUVFbDb71q1bWhqGWVpaVlRUhIeHI4QyMjIUCsWTJ09+/vnnYcOGIYTOnz9PzaxQKPh8PovF0iyqoaHBx8fH29v7zJkzLS0tTU1N+/bts7a2pvb9a24KIxvA7IvW1lZyVsCBAwfIPPrsjsHe3UaYfdHT0zN06FDNYUbaQB/V0aNHEUJ9zb7oazs/9/TR5cBLTExECNXU1PS1jmvWrGGxWB999NG9e/fUavW9e/f+/ve/I4QkEsmTJ09wnq+//rqv4EPd1GZXF3bs2DGEkObPuM179gWtq/STTz4pLi6mpmzatIn48x3rjBkz8HfFYrG7u/utW7ekUqmtrS2fzw8JCbl8+TK1/JaWlqSkJFdXVz6fHxQUJJPJJBIJLmfdunU4T2VlZXBwsEAg8PT0JEfGn9uHW1FRoVAokpOTPT09ORyOSCRauHDh+vXr8VLaKPbixYsRQv/7v/+ruQXwnFNvb28Oh+Ps7BwZGUnGdNqmMP7ewXT/mXVjY+OqVau8vLw4HI5QKJRKpQUFBdQMA94dxCDvboIggoODB3v2BUEQGzduZLPZjx49wh8VCgV1//Y6+WHp0qW0/ytatrPup4+WAw8LDw+3sbHRMntBqVRmZWVJpVI82dnGxkYikezYsYMauagDkjTUQGl2dWG485qcTEUy76CsD3yWmroVOsnOzh7wZCOTY8gDiZizu/UJyi0tLe7u7r0+eIhRHj9+zOfz9Znk+8LXhZ99QZ2bSHqRp8S9MPbt2/fee++ZuhXA9IRCYX5+/okTJ/bu3WvqtvSJIIjU1FQ7Ozvy1xNQF01NTU1sbOyGDRvmzJljkLaRICgPoqysrFmzZrW3t+/bt+/x48fwns2X0NKlS1kaz1MOCAi4cuXK2bNnW1tbTdUw7RoaGmpqagoKCnSczvES1rV///5t27Zt27aNmkg+T/nZs2cDL5p62WxG3ReffPIJdS1wxxnTHDx4ECHEZrPHjRt39epVUzdn4EzefcG03Y106L4AQBeax5JRn8ZiQGlpaWlpaaZuxXMkJSUlJSWZuhUvArPY3QAYBHRfAAAAg0BQBgAABoGgDAAADAJBGQAAGKSXgb7c3FzjtwMwGX5WA5MPjM7OTvTfR8YYh+aPLQEwDOpUDDwlDgAAgNHQpsSxiP685BUAZsI/zGHytTwAOoI+ZQAAYBAIygAAwCAQlAEAgEEgKAMAAINAUAYAAAaBoAwAAAwCQRkAABgEgjIAADAIBGUAAGAQCMoAAMAgEJQBAIBBICgDAACDQFAGAAAGgaAMAAAMAkEZAAAYBIIyAAAwCARlAABgEAjKAADAIBCUAQCAQSAoAwAAg0BQBgAABoGgDAAADAJBGQAAGASCMgAAMAgEZQAAYBAIygAAwCAQlAEAgEEgKAMAAINAUAYAAAaBoAwAAAwCQRkAABiEbeoGADAQT5486ezsJD8+ffoUIfT48WMyhcfjWVtbm6BlAOiHRRCEqdsAQL99+eWXy5cv15Jh7969y5YtM1p7ADAUCMrALCkUCldX12fPnvW61NLSsr6+3tnZ2citAkB/0KcMzJKzs3NERISlpaXmIktLyylTpkBEBmYKgjIwV/Pmzev1Po8giHnz5hm/PQAYBHRfAHPV1tbm7OxMHe7DuFyuQqGws7MzSasA0BNcKQNzZWtrGxUVxeFwqIlsNjs6OhoiMjBfEJSBGUtMTOzu7qamPHv2LDEx0VTtAUB/0H0BzNjTp0+dnJza2trIFBsbm8bGRh6PZ8JWAaAPuFIGZozL5cbFxXG5XPyRw+HMnj0bIjIwaxCUgXl7++238c/5EEJdXV1vv/22adsDgJ6g+wKYt56eHpFI1NjYiBBydHRsaGjodfIyAOYCrpSBebOwsEhMTORyuRwOZ968eRCRgbmDoAzM3ty5c58+fQp9F+DFAN0XwOwRBPHKK68ghO7fv89isUzdHAD0Ao/uBGaPxWItWLCAxWJBRAYvAmLwxcXFmXotAQBAX3FxcUYImEa6Ug4MDFy9erVx6gIJCQmrVq2aPHmyqRvCCMXFxbt27Tp+/LipGwLM22effWaciowUlD08PGbPnm2cukBCQsLkyZNhg5N27doFWwPo6bvvvjNORTD7AgAAGASCMgAAMAgEZQAAYBAIygAAwCAQlA3szJkzI0aMYLN7H0ENCgpiaVi1ahWZ4fHjx/v27QsPDx8yZAifz/fz80tMTCwrKzNW80Ev7t+/Hx0d3dra2tjYSO61gIAAtVpNzUZdymKxJkyYYKoG94ogiMLCwuXLl48YMYLH4w0dOjQoKOjo0aME5edjhjr8mFbX+vXrzWn6jRGm3cXFxRlnfp9pVVVVzZw5c9y4cXZ2dpaWlr3mefPNNzV3wcqVK8kMixYtYrPZu3btqq+vV6lUv/zyy+jRoy0tLU+ePKl7SxBCx48f72/729rafH19Z8yY0d8vMhw+Gwf89evXrzs5OX3xxRdkikwmwzsuOTlZM39xcbGjo+OAqxs8FRUVCKEpU6aUlZV1dHRUV1fPnTsXIbRmzRoyj0EOPwbWVVVV5eXltXnz5n6VTGO0OAZBud8EAsGbb76pmT537twdO3Z0dXW5u7trCcoymUxL4YsWLVqyZAk1pbS0FCHk5+enewsHFpRbW1u9vb2nT5/e3y8aSl8bVk/6BGWlUunh4UELvjKZjMfjOTo6IoSOHTtG+wqTgzKbzW5ubiZTOjs7HR0deTyeWq3GKQY5/BhYFy6cxWIN4LwgQVBmrr5ix5MnT/Af+gTlXvH5fAsLi56eHh3zDywomxwDg/KmTZvYbPajR4+oiTKZTCgUnjt3zsLCwtbW9vbt29SljA3KvRo/fjxCqKWlRUue/h5+jK0rPj7ew8Ojq6trYGUaLY5Bn7LB8Pn8wShWpVJ1dHSMHTsWHuxgZARBZGVlTZo0yc3NTXOpVCrdvHlzW1tbfHw8rXPZXLS0tNy9ezcgIEAoFPaVx1CHHxPqmjVrVm1t7enTp/Up3AiYFZTz8vLIcZLbt2/Pnj3b0dERf8RPMVcoFKmpqcOHD+dyuc7OzrGxsfiWB+vs7ExPTx81apS1tfWQIUNmzpz573//+9mzZ7SSf//994SEBHt7e0dHx6ioqOrqamobtFSRmZnJYsYSS6gAACAASURBVLFUKlVhYSEuqq8BPS2OHDkyfvx4gUAgFAqDg4OPHTumPT/+HdGmTZv6W1G/ULcPDjG6bDG8QVgsloeHh0wmi4iIsLW1tba2DgsLKywsxHm2bt2K8wQFBeGUc+fO4RQnJydqOXpuWIMrKytraGgQi8V9Zfjggw8iIyNv3LiRkpKipZympqb33nvPx8eHy+U6ODhMnz794sWLeJFBDssBaG1tLSwsjI6OdnFxOXz4sJac+h9+zKkLXz7/+OOPAy7fSIxwNd7fy/6YmBiEUEhIyMWLF1UqVUlJiaWlpUKhqKure+WVV0Qi0enTp9va2m7evBkSEmJlZVVUVIS/mJSUJBQKf/rppydPnsjl8rS0NITQxYsXaSXHxMQUFRW1t7efP3+ez+dPnDiRzPDcKggd7rK1d1/Mnz//6tWr7e3tlZWV8+fPRwilpKT0VZRcLheJRElJSbptuf8PDbT7Am+fjo4OWoqWLUYQhFgsFggEkydPxnlkMtm4ceO4XO6lS5fIPJobTSKR0G7z+9qwYWFhQ4YMKS4uHsAaEXp0Xxw5cgQhtH37dlo67r7AfysUCk9PT4QQHu4nNLov6uvrvby8RCJRfn6+Uqm8fft2bGwsi8U6ePAgmccgh6XutmzZgs/90NDQGzduaMk5sMOPsXUplUqEUHBw8MDKf6n7lPExeubMGVr6ggULEEI5OTlkSn19PY/Hk0gk+KOXl9cbb7xB/cqIESM0g3J+fj61bQghhUKhYxWEfkFZ0+uvv44QKikp0VzU2Ng4fvz4hISE7u5uHUvDDB6UtWwxgiDwteT169fJlBs3biCExGIxmaJPUA4JCXFwcBhYACL0CMoZGRkIob1799LSqUGZIIji4mIOhyMQCCoqKgiNoLxw4UKE0LfffkumqNVqNzc3Pp8vl8txikEOy37p7OysqKh49913LS0tP/74417zDPjwY3JdLBbL19d3YIVDnzLC0YoqLy/PwsIiKiqKTHFxcRkzZszVq1dra2sRQtOmTSsqKlqyZElJSQnutbh9+3ZoaCitnIkTJ5J/48ucuro6HaswOHz65efn09JVKpVUKh09enROTo7JX3GkZYthAoEA3xti/v7+bm5uZWVl9fX1+td+6dKl5uZm4z/0DnfjcDgc7dkCAwMzMzNVKlV8fHxHRwdt6cmTJxFCM2bMIFN4PF5ERERHRwftPtqYhyWXyx01atRXX30VHR2dnp5+4cIFWgYDHn6MqovNZmvuI6ZhblAWCATUj52dnUqlsqenRygUUqfoX7t2DSF09+5dhNDevXsPHz5cU1MTERFhZ2c3bdo0fErQULv/8dvpe3p6dKzC4FxdXRFCf/zxBzWxu7s7Pj7e3d39m2++MXlERn1vMZK9vT3tK0OHDkUa62VerKysEEJdXV3PzZmampqQkHDz5s0VK1ZQ0/ERZWVlZWtrS00XiUQIIblcTk00yWE5c+ZMhNCpU6eoiYN0+Jm8LlzdIA3IGxBzgzINj8ezt7dns9m9zmgJCwtDCLFYrPnz51+4cKGlpSUvL48giNjY2E8//dSAVeBaDLhe+GoIhzBScnJyZ2dnbm4uOd7l6+tbUlJiwHoNq6mpifjze8VwOCbXy8LC4unTp9QMLS0ttEKYNr0E/7/EHZHPlZWVNXLkyOzsbNwTjfF4PKFQqFar29raqJkbGhoQQi4uLrqUrONhOTA8Hg8h1NzcTE0cpMPP5HW1trYSBIF3K5OZTVBGCMXGxnZ3d5PD+tjOnTuHDRvW3d2NELK3t6+srEQIcTicqVOn4qHtfs2AeW4VCCFra2syvowcOfLAgQM6Fp6VlSWRSKgpBEHk5uai//5jxz788MPy8vIffvgBH1hmQa1Wk79zQwj99ttvdXV1YrGYPAFcXV0fPXpEZpDL5Q8ePKAVMuANO0jGjh2LENKxf8DGxub7778XCARffvklNX3WrFkIIepB2NnZWVBQwOfzpVKpji3R5bB8rrS0tHnz5tESz549i/7cc2KQw4+BdSGE8BGIdyujGbaLulcDG+ijDjdhDQ0NPj4+3t7eZ86caWlpaWpq2rdvn7W1NTmoJRQKQ0JCysrK1Gp1Q0PDhx9+iBDaunWrlpLXrVuHKINUz62CIIhp06YJhcIHDx4UFRWx2exbt27R2tnXQN/BgwcRQsuWLbt7925HR0dlZWViYiL68+yLr7/+uq89pfv0A2TogT4tW4wgCLFYLBQKIyIitMy+wPf1X3zxRVtbW1VV1ezZs93d3WkDfX1tWFPNvujp6Rk6dKjm2CNtoI/q6NGjCKG+Zl+0traSsy8OHDhA5jHIYYmPpZqamr5WZ82aNSwW66OPPrp3755arb53797f//53hJBEIiF/96Tj4Wd2dWF4+ml/f8ZNeklnXxQXF2v/n4GnfHp7e3M4HGdn58jIyPPnz5NLS0tLk5OTX331VTxPOTAw8ODBg/jXQbSSN23aRPz5dpt85oP2KgiCqKysDA4OFggEnp6e1KF5zcE6hBB15pNarf7uu+9mzZrl4+ODb2xDQ0Npv9OljghpOVK1Q/0PyrTO98TERN23mFgsdnd3v3XrllQqtbW15fP5ISEhly9fppbf0tKSlJTk6urK5/ODgoJkMhl507Bu3TrtGzY4ONgksy8Igti4cSP1F30KhYK6BXqd/LB06VLaP5vGxsZVq1Z5eXlxOByhUCiVSgsKCvAiAx6W4eHhNjY2WmYvKJXKrKwsqVSKJzvb2NhIJJIdO3ZQI5eOh5/Z1YXhzuunT5/2VZR2L2lQBgYxgKCsDxyUjVZdf+kTlFtaWtzd3Xt98BCjPH78mM/n6zPJ94WvCz/7gjo3sb9gShwApicUCvPz80+cOLF3715Tt6VPBEGkpqba2dmRv56AumhqampiY2M3bNgwZ84cg7RtUEFQBkCbgICAK1eunD17trW11dRt6V1DQ0NNTU1BQYGO0zlewrr279+/bdu2bdu2GaRhg830TxgA5iszM3Pt2rX4bxaLtWnTpq1bt5q2SYNh+PDhmjNemcPFxeXy5ctQlxY7d+40SDnGAUEZDFxaWhp+wAgAwFCg+wIAABgEgjIAADAIBGUAAGAQCMoAAMAgRhroq62txQ95AMah+dvIlxbeFHD4AT3V1tZ6eHgYoyYj/EAFPzIYAADMmnF+0WekK+W4uDj8Ai5gBPhV6rNnzzZ1QxghNzc3ISGB+PMzJQDor/j4eONUBH3KAADAIBCUAQCAQSAoAwAAg0BQBgAABoGgDAAADMKgoGxjY8PSKisry9RtNI3MzEy8BYw0TfLldv/+/ejo6NbW1sbGRvLYCwgIUKvV1GzUpSwWa8KECaZqsHZnzpwZMWIE+VpSU5Xz+PHjffv2hYeHDxkyhM/n+/n5JSYmlpWVaeYsLS2dMWOGvb29ra3tlClTaG8mpImOjmaxWJrPJuzu7j506NDrr7/u6Ojo4OAgkUj27NlDfXXv+vXr8dsPGIhBQbm9vf369esIoZiYGM25eyEhIaZuIEIItbe3+/n5RUVFGbPStLQ0giDEYrExK305lZaWTpgwITIy0s7OzsnJiSAI/ELY0tLSVatWUXPipcXFxfjlT1euXDFRk/tUXV0dHR29YcMG/PJs05azdu3alJSUmJiYW7duNTU1ZWdnl5aWSiSSvLw8arZff/31jTfesLW1raiouHfvnre3d2ho6E8//dRrmYcPH+71HWwIoXfeeScpKWnKlCkVFRVVVVUJCQkpKSlvvfUWmWHx4sUbNmx4//33B7xGg4dBQZlpbGxsgoKCaIkEQfT09PT09JikSQzU61Yyo/KpWltbZ86c+dZbb+HXvJJ4PJ6jo+P+/fu//fZb47TEIN5///033njj6tWrtra2TCjnb3/728qVK11cXKytrYODg48dO/bs2TP8klOsp6dn0aJF9vb2X3/9taurq5OT01dffeXj45OUlNTZ2Ukrra6ubtWqVfPnz9esqKam5ujRowEBAdu3bx86dKijo+Pf//73qVOnnjp1inznuo+Pz8mTJ7dt28bAn3qaTVC+dOlSUlKSqVuBbG1tq6urz5w5Y+qGAMPLyMiQy+Xp6em0dCsrq5ycHAsLi+Tk5Dt37pikbQNw6NCh9evX699xYZBysrKy9u/fT00Ri8V8Pr+6upr8Xc8vv/xSXl4eFxfH5/NxiqWl5dy5cx8+fKj5koHFixfHx8dHRkZq1vXw4UOE0KuvvkpNHDVqFELowYMH1AbExcWtWbOmu7tbn1UzODMIyitWrKDdOQJgcARBZGVlTZo0yc3NTXOpVCrdvHlzW1tbfHw8rXOZscjQxpByaFQqVUdHx9ixY1ksFk75+eefEUK03nn8saCggJqYnZ1dXl6emZnZa8mjRo3icDiVlZXUxMrKShaL5e/vT02cNWtWbW3t6dOn9V4bQzKDoEy1detWPK5C3tKeO3cOpzg5OeGUvLw8cvjl999/T0hIsLe3d3R0jIqKqq6uppaGX9vu4+PD4/E8PDymTJnyz3/+s6OjAw+sqVSqwsJCXA6+TKCWTD0zyXK4XK6Dg8P06dMvXrzYr8Z0d3cfP3586tSpLi4ufD7f399/9+7dg91JoqXZumznvrYSdVhSJpNFRETY2tpaW1uHhYWRgzb6lD9IysrKGhoatHTcf/DBB5GRkTdu3EhJSdFSjv4HA0JIoVCkpqYOHz6cy+U6OzvHxsaWlpYaZDWZAz93YdOmTWQKDqO00Wx3d3eEEPUGpba2ds2aNdnZ2X11p4hEoszMzLKyso0bNyoUiubm5oyMjAsXLqSnp48YMYKac/z48QihH3/80WBrZRBGeL6G7q/mxgN9mlauXEnNJhAI3nzzTWqKRCLB4y2kmJgYhFBMTExRUVF7e/v58+f5fP7EiRPJDPX19V5eXi4uLvn5+a2trXK5HL8097PPPuurFmrJHR0d1HJEIlF+fr5Sqbx9+3ZsbCyLxTp48KDujcHjFdu3b29ublYoFJ9//rmFhQUe3yOJxWJ3d3ddNiNC6Pjx49rz6NJsXbZzX1tJLBYLBILJkyfjVZbJZOPGjeNyuZcuXTJI+WFhYUOGDCkuLta+mgRB4EH252Y7cuQI3gW0dJlMJhQK8d8KhcLT0xMhdPToUZxCDvRhBjkY6urqXnnlFZFIdPr06ba2tps3b4aEhFhZWRUVFT13LXrl7u5uaWk5sO8ORjkEQcjlcpFIlJSURE2cOnUqQqikpISaePfuXYTQa6+9RqZIpdJly5bhv/Fe27Jli2YVubm5ZHx3cnI6dOiQZh6lUokQCg4O1qXNuscxPTExKNNmXyxfvnzAQTk/P5/aDISQQqHAHxcuXKgZvKZNm9bfoIzL+fbbb8kMarXazc2Nz+fL5XIdG5Ofnx8aGkqtZd68eRwOR6lUkimGDcq6NFvPoIwQun79Oply48YNhJBYLNbyXd3LDwkJcXBw0CVO6RiUMzIyEEJ79+6lpVODMkEQxcXFHA5HIBBUVFQQGkHZIAfDggULEEI5OTlkhvr6eh6PJ5FInrsWvWJaUG5sbBw/fnxCQkJ3dzc1vdegjK+RyXU/cOCAt7d3e3s7/thrUO7p6Vm8eDGHw/n000/lcrlCodi/fz+fz09ISOjq6qI1hsVi+fr66tJsowVlM+u+6K+JEyeSf+NrnLq6Ovzx5MmTCKHp06dT8589e7a//de4nBkzZpApPB4vIiKio6ODdlukpTFRUVHkTS4mFou7urrKy8v71ZjBaPaACQQCfHuI+fv7u7m5lZWV1dfX61/4pUuXmpubJ0+erH9RGO6P4nA42rMFBgZmZmaqVKr4+PiOjg7aUoMcDHl5eRYWFtRply4uLmPGjLl69Wptbe0AVo1RVCqVVCodPXp0Tk6OpaUldZG9vT3OQMtPLnrw4MHatWuzs7MFAoGWKo4cOXLw4MF333139erVIpHIyclpyZIleGLynj17aJnZbLbmfjQtMwjKe/bs2bVr18C+KxQKyb+5XC5CCHfUdnZ2KpVKKysrPWf59FWOSCRCCMnlcl0agxBSKpXp6en+/v4ODg64z3Ht2rUIoSdPnujTPIM0e8DwiUQ1dOhQhNAff/xhkPINy8rKCiHU1dX13JypqakJCQk3b96kzZwzyMGAC+np6REKhdQfp1y7dg0hhO/lzVd3d3d8fLy7u/s333xDi8jovxMkaP94Hj16hBDCfcG4Uyg0NJTcLHhK3Pvvv48/VlVVIYTOnTuHEJoyZQq1nIiICITQ2bNnNZs0SCOZA2YGQVmThYUF9cc5CKGWlpZ+lcDj8YRCoVqtbmtr6ysPOSg8gHLwNHsXFxcd2zNz5swtW7YsXrz4zp07PT09BEF89tlnCCFicJ4CrGOzddnOWrZSU1MTrf04HOPQrH/5huXq6ooQwp2Mz5WVlTVy5Mjs7Gx8+4wZ5GDg8Xj29vZsNlvzRpsgiLCwsH6sEvMkJyd3dnbm5uaSY7a+vr4lJSX4b7x2V69epX4Ff8Qhdfny5bQNQuu+8PX1RRrX2lTt7e3Uj62trQRB4F3PHGYZlF1dXfH/T0wul1OnH+po1qxZCCHajOOAgIDVq1fjv62trcmQMXLkyAMHDmgphzqrprOzs6CggM/nS6VSXVry7NmzwsJCFxeX1NRUZ2dnHIYG+5ZKl2brsp21bCW1Wk3O1UcI/fbbb3V1dWKxmDwH9CzfsMaOHYs0LtP6YmNj8/333wsEgi+//JKarv/BgBCKjY3t7u6m/bx4586dw4YNY9qM2n758MMPy8vLf/jhBx6P12uGkJCQ0aNHnzhxgpza9OzZs3/961+enp7UHqHnmjRpEtKYRYfn2wUGBlIT8eGHdz2DDGqPNabnQJ8mfNv4xRdftLW1VVVVzZ49293dvdeBPnI4jiCIdevWIcrQEx4od3V1PXXqVGtr68OHD5cuXSoSie7fv48zTJs2TSgUPnjwoKioiM1m37p1q9eSqQPura2t5ID7gQMHdG9MeHg4QigjI0OhUDx58uTnn38eNmwYQuj8+fPkVwZv9kVfzdZlO/e1lcRisVAojIiI0DL7Qp/yDT77oqenZ+jQoZqDirSBPqqjR48ihPqafTHgg6GhocHHx8fb2/vMmTMtLS1NTU379u2ztram7tPExESEUE1NzXPXi9A6QGe0cr7++uu+QhB1JxYXF1tZWc2ZM6e+vr6xsTE5OZnNZp87d66vYnsd6Hv8+LGfnx+Hw9m9e3dDQ0NjY2NWVpa1tbW7u3tdXR0157FjxxBCJ0+e1GX1X8bZF7TOe5FI1FfOlpaWpKQkV1dXPp8fFBQkk8kkEgn+1rp162jvDN20aRPx55voGTNm4HIaGxtXrVrl5eXF4XBcXV3nzJlz584dspbKysrg4GCBQODp6YkH5fEwDikxMVGzHKFQKJVKCwoK8CIdG6NQKJKTkz09PTkcjkgkWrhw4fr163EGiUTyySefaBaihS5BWXuzddnOfW0lDP8LuXXrllQqtbW15fP5ISEhly9fNlT5wcHBhp19QRDExo0b2Wz2o0eP8EeFQkHd7L1Ofli6dCntv4j+BwNBEHiys7e3N4fDcXZ2joyMpP57JggiPDzcxsaGNnuBptfnQlAn5xmzHC2XurT/rNeuXZs+fbqdnZ2NjU14eDjtmCElJyfTypFKpeTS5ubmtWvXjho1isfjcblcHx+fFStWkBNgSLiD++nTp1pWn/QyBmVgKDoG5UGl+3X9YNM9KLe0tLi7uycnJw92k/T0+PFjPp9Pm+T7ApRjZKWlpSwWizp/UTuYEgeAsQmFwvz8/BMnTuzdu9fUbekTQRCpqal2dnb4t04vTDlGVlNTExsbu2HDhjlz5pi6LXQQlAH4PwEBAVeuXDl79mxra6up29K7hoaGmpqagoIC3ef2mEU5RrZ///5t27Zt27bN1A3pxSA+TAC8nDIzM/Eka4QQi8XatGmT5jPImWz48OGazyRjDhcXl8uXL7945RjZzp07Td2EPkFQBgaWlpaWlpZm6lYAYK6g+wIAABgEgjIAADAIBGUAAGAQCMoAAMAgRhroKykpiY+PN05dACH02Wef4Tc7vCRojzqiwo+zgMMP6KmkpIT26IxBYoygbMCH3gJd4Iemv1RqampQH0HZw8PjJdwgwOACAwONE8pYxOA8HBIAY5o9ezZCiIGviwegv6BPGQAAGASCMgAAMAgEZQAAYBAIygAAwCAQlAEAgEEgKAMAAINAUAYAAAaBoAwAAAwCQRkAABgEgjIAADAIBGUAAGAQCMoAAMAgEJQBAIBBICgDAACDQFAGAAAGgaAMAAAMAkEZAAAYBIIyAAAwCARlAABgEAjKAADAIBCUAQCAQSAoAwAAg0BQBgAABoGgDAAADAJBGQAAGASCMgAAMAgEZQAAYBAIygAAwCAQlAEAgEEgKAMAAINAUAYAAAZhm7oBAAzEr7/+WlZWRn6sqalBCB04cIBMEYvFkyZNMkHLANAPiyAIU7cBgH47derUzJkzLS0tLSwsEEI9PT0IIfLvZ8+e5efnR0VFmbiVAPQfBGVglrq6upycnFpbW3tdamdnp1AouFyukVsFgP6gTxmYJQ6HM2fOnF7DrpZFADAfBGVgrubOnfv06VPN9K6urrffftv47QHAIKD7Apirnp4eNze3hoYGWrqzs7NcLsf9ywCYHThwgbmysLCYN28erZuCy+UuWLAAIjIwX3DsAjOm2YPx9OnTuXPnmqo9AOgPui+AefP19a2uriY/enl54TnLAJgpuFIG5m3evHkcDgf/jfsuTNseAPQEV8rAvFVVVfn5+ZEfb9++PWLECBO2BwA9wZUyMG++vr7jxo1jsVgsFmvcuHEQkYG5g6AMzN5f//pXS0tLS0vLv/71r6ZuCwD6gu4LYPbq6uo8PT0Jgnj48KG7u7upmwOAXuApccDsubm5vfHGGwghiMjgBcDEoFxcXPzw4UNTtwKYk1dffZXFYuXm5pq6IcCceHp6Tp482dSt0EAwT1xcnKm3CgDgxRcXF2fqaNcLJl4pI4Ti4uK+++47U7eCKVgs1vHjx2fPnm3qhjBCbm5uQkICAWMhQD/x8fGmbkLvYPYFAAAwCARlAABgEAjKAADAIBCUAQCAQSAoAwAAg7w4Qfn+/fvvvPPOsGHDuFwu67+2bt1q6nYBE7t//350dHRra2tjYyN5YAQEBKjVamo26lIWizVhwgRTNVi7M2fOjBgxgs3Wd96UnuU8fvx437594eHhQ4YM4fP5fn5+iYmJZWVlmjlLS0tnzJhhb29va2s7ZcqUwsJCLcVGR0f3etp2d3cfOnTo9ddfd3R0dHBwkEgke/bsoT5Ke/369cePHx/YujDNCxKUFQpFYGDgtWvXcnNzW1paCIIoLi42daNMrL293c/PLyoqytQNMaXS0tIJEyZERkba2dk5OTkRBCGTyXD6qlWrqDnx0uLiYkdHR4Igrly5YqIm96m6ujo6OnrDhg2ab8Ayfjlr165NSUmJiYm5detWU1NTdnZ2aWmpRCLJy8ujZvv111/feOMNW1vbioqKe/fueXt7h4aG/vTTT72Wefjw4fz8/F4XvfPOO0lJSVOmTKmoqKiqqkpISEhJSXnrrbfIDIsXL96wYcP7778/4DViEJPOku5dXFxcfyd1b9++HSFUUFBApuCgvGXLFt0LEQgEb775pu7pRoMQOn78eH+/1dra6u3tPX369MFoki4GabvhCyJdciqVSg8Pj+TkZGqiTCbj8XiOjo4IoWPHjtG+QgZlBpo7d+6OHTu6urrc3d0tLS1NW86iRYuWLFlCTSktLUUI+fn5kSnPnj0bM2aMq6vrkydPcEp3d/fIkSM9PT3VajWtwEePHjk4OMyfP1/ztMUvMQgICKAmTp06FSH0n//8h9oAPKNfx1UYQJwxjhfkSvm3335DCPn7+5u6IQxia2tbXV195swZUzfEZDIyMuRyeXp6Oi3dysoqJyfHwsIiOTn5zp07JmnbABw6dGj9+vX6d1wYpJysrKz9+/dTU8RiMZ/Pr66uJv77u55ffvmlvLw8Li6Oz+fjFEtLy7lz5z58+PDUqVO0AhcvXhwfHx8ZGalZF37owquvvkpNHDVqFELowYMH1AbExcWtWbOmu7tbn1UzuRckKD958gQhZGtra+qGAKYgCCIrK2vSpElubm6aS6VS6ebNm9va2uLj42mdy4xFhjaGlEOjUqk6OjrGjh3LYrFwys8//4wQovXO448FBQXUxOzs7PLy8szMzF5LHjVqFIfDqayspCZWVlayWCzaddisWbNqa2tPnz6t99qYktkH5by8PBaL9cMPPyCE+Hw+i8UKCgrSzNbd3X38+PGpU6e6uLjw+Xx/f//du3f39PTgpZmZmSwWS6VSFRYW4nEefB3RVzqmUChSU1OHDx/O5XKdnZ1jY2PxHRzZKuz3339PSEiwt7d3dHSMioqivlBu8FAbgIOOLk3C68tisTw8PGQyWUREhK2trbW1dVhYGDk+s3XrVpyH3M7nzp3DKU5OTtq3pzGVlZU1NDSIxeK+MnzwwQeRkZE3btxISUnRUk5TU9N7773n4+PD5XIdHBymT59+8eJFvEj3vazlUHlh4OcibNq0iUzBYdTDw4OaDT/Jj3qDUltbu2bNmuzs7L4uqkQiUWZmZllZ2caNGxUKRXNzc0ZGxoULF9LT02nvNBg/fjxC6McffzTYWpmEqftPejGAvp6YmBiEUEdHB5lC61PGAwjbt29vbm5WKBSff/65hYVFWloatZB+9SnX1dW98sorIpHo9OnTbW1tN2/eDAkJsbKyKioqorUqJiamqKiovb39/PnzfD5/4sSJ/Vo1YqB9ykRvm0WXJonFYoFAMHnyZJxHJpONGzeOy+VeunSJzKO5TSQSCa03tq/tGRYWNmTIkOLi4gGsEaFzn/KRI0fwHqely2QyoVCI/1YoFJ6engiho0eP4hRan3J9CVy2dwAAIABJREFUfb2Xl5dIJMrPz1cqlbdv346NjWWxWAcPHiTzPHeT6nKo9IuefcoGL4cgCLlcLhKJkpKSqIm427ekpISaePfuXYTQa6+9RqZIpdJly5bhv/Fe63UoKDc3l4zvTk5Ohw4d0syjVCoRQsHBwbq0GfqUTS80NHTDhg0ODg5OTk4pKSlvv/327t27W1tbB1bahg0b7t+//+mnn/7lL3+xsbEZM2bMv/71L4IgNC+7kpKSJk+eLBAIpkyZMmPGDJlM1tjYqPfa6OW5TVKpVF9++SXOM2HChKNHjz59+nTlypUGqb2npwcffAYprS/19fUIIaFQqCWPk5NTbm4uh8NJTk6m3R1jGzZsuHfv3q5du6Kiouzs7EaMGHHs2DFXV9fU1FTa1AUtm1T3Q8VMNTU1TZs2LTQ0dN++fc/NjPc72cVx8ODBu3fvZmRkaP/KkiVLEhMT33vvPblcrlAotm3btmLFijlz5tC6j+3s7FgsFt715utlCcpRUVHkXScmFou7urrKy8sHVmBeXp6FhQV1wpmLi8uYMWOuXr1aW1tLzTlx4kTyb3xdVldXN7BKDeW5TRIIBPhOEPP393dzcysrKzPI4X7p0qXm5ubBfo4t7rQhX3Tdl8DAwMzMTJVKFR8f39HRQVt68uRJhNCMGTPIFB6PFxER0dHRQbtH1rJJdT9UzJFKpZJKpaNHj87JybG0tKQusre3xxlo+clFDx48WLt2bXZ2tkAg0FLFkSNHDh48+O67765evVokEjk5OS1ZsgRPTN6zZw8tM5vN1tyP5uVlCcpKpTI9Pd3f39/BwQF3Aq5duxb9d4Swvzo7O5VKZU9Pj1AopP7i4Nq1awghfINGol6scblchBDZl20qz20SPmeohg4dihD6448/Br91hmFlZYUQ6urqem7O1NTUhISEmzdvrlixgpqO97KVlRWtr1MkEiGE5HI5NbGvTdqvQ8XsdHd3x8fHu7u7f/PNN7SIjP47QYL2j+fRo0cIIdwXjDuFQkNDyc2Cp8S9//77+GNVVRVC6Ny5cwihKVOmUMuJiIhACJ09e1azSYM0kmk0L0tQnjlz5pYtWxYvXnznzh18+/zZZ5+h/95MYeQtFY1mOo/Hs7e3Z7PZXV1dml1CYWFhg7cixtHU1ETrXsDhGIdmhJCFhQX191QIoZaWFlohfW1P43B1dUUI4U7G58rKyho5cmR2djbu08R4PJ5QKFSr1W1tbdTMuOPCxcVFl5Jf7EMlOTm5s7MzNzeXHMj19fUtKSnBf+O1u3r1KvUr+CMOqcuXL6dtEFqfsq+vL9K41qZqb2+nfmxtbSUIAu968/VSBOVnz54VFha6uLikpqY6OzvjYKF5j2NtbU0GmpEjRx44cEBLemxsbHd3N+03ozt37hw2bJi5T5NECKnVavzLN+y3336rq6sTi8Xk4e7q6ooveTC5XE6dMYr1tT2NY+zYsUjjMq0vNjY233//vUAg+PLLL6nps2bNQghRp1h1dnYWFBTw+XypVKpjS17UQ+XDDz8sLy//4YcfeDxerxlCQkJGjx594sQJctLhs2fP/vWvf3l6elJ7hJ5r0qRJSGMWHZ5vFxgYSE3ExyTe9ebrpQjKlpaWoaGhcrn8k08+aWxs7OjouHjxouagxGuvvXbnzp2HDx8WFxfX1NQEBwdrSd+xY4ePj8/f/va3s2fPKpXK5ubm/fv3f/zxx5mZmcaf/mVwQqFw48aNxcXFKpXqypUr8+bN43K5u3fvJjNERkbW1dXt2bOnvb29urp65cqV5EU0qa/tGR4e7ujoSF5PDRKxWDx06NBen8bQqzFjxtB+DYEQ2rFjh5eX16pVq06dOtXW1nbnzp233367vr5+9+7duBNDF7ocKvPmzWOxWPfu3dOxzL4YrZx//vOfH3300a+//mpra0vtlqHOBbSwsDh06FBzc/M777wjl8ubmpqWL19+9+7dgwcP4s4lHS1btszPz++rr776/PPP//jjj6ampkOHDv3P//yPu7t7WloaNSeeaNjrL1DMiUHmcBhWv6aq4KEYUmJiIkEQPj4+1MSHDx8qFIrk5GRPT08OhyMSiRYuXLh+/Xq8VCKR4KIqKyuDg4MFAoGnp+fevXvJKvpKxzNYvb29ORyOs7NzZGTk+fPn8SLakzc2bdpE/Lk3YMaMGbpvENT/KXGam0X3JonFYnd391u3bkmlUltbWz6fHxIScvnyZWr5LS0tSUlJrq6ufD4/KChIJpNJJBJczrp167Rvt+DgYAcHhwFPCNP9Z9YbN25ks9mPHj3CHxUKBXV9yf1OtXTpUtrEvsbGxlWrVnl5eXE4HKFQKJVKyV/z675JtRwqWHh4uI2NTXd3t5bV6fW5ENTJecYsR8ulLm2y47Vr16ZPn25nZ2djYxMeHk47kEjJycm0cqRSKbm0ubl57dq1o0aN4vF4XC7Xx8dnxYoVcrmcVgju4H769KmW1Scxdkqc2QfllwEa6DzlgcFB2WjV9ZfuQbmlpcXd3Z327AsGevz4MZ/Pp03yfQHKMTL87Itvv/1Wx/yMjTMvRfcFeDkJhcL8/PwTJ07s3bvX1G3pE0EQqampdnZ2W7ZseZHKMbKamprY2NgNGzbMmTPH1G3RFwRl8CILCAi4cuXK2bNnB/wrocHW0NBQU1NTUFCg43QOcynHyPbv379t27Zt27aZuiEGYPZDUsCAMjMz8fRthBCLxdq0adML8JaA4cOHaz6TjDlcXFwuX7784pVjZDt37jR1EwwGgjL4P2lpabThbACAkUH3BQAAMAgEZQAAYBAIygAAwCAQlAEAgEEYOtBXUlISHx9v6lYwyGeffYbf7ADw4yzg8AB6KikpoT06gyHgShkAABiEoVfKgYGBcGFIYrFYq1evnj17tqkbwgi5ubkJCQlweAA9MfZmC66UAQCAQSAoAwAAg0BQBgAABoGgDAAADGLGQdnGxoalVVZWVmZmJv7bw8PD1O0F5u3+/fvR0dGtra2NjY3kMRYQEEC+6wijLmWxWBMmTDBVg3v1+PHjffv2hYeHDxkyhM/n+/n5JSYm9vp+ltLS0hkzZtjb29va2k6ZMoX2Oiua6OhoFoul+fiq7u7uQ4cOvf76646Ojg4ODhKJZM+ePdS3O+KXUhtk1V4YZhyU29vbr1+/jhCKiYnRfFB0SEgIQigtLY0gCLFYbOrGAvNWWlo6YcKEyMhIOzs7JycngiDwOwxLS0tXrVpFzYmXFhcX4zeYXLlyxURN7t3atWtTUlJiYmJu3brV1NSUnZ1dWloqkUjy8vKo2X799dc33njD1ta2oqLi3r173t7eoaGhP/30U69lHj58uNe3mSCE3nnnnaSkpClTplRUVFRVVSUkJKSkpLz11ltkhsWLF2/YsOH999834DqaPSM+UF9Xur8RQHtQJt9wM4BXaQgEgjfffFP39EGFjPjmkcFeQf3L1/3NI4aiVCo9PDxobzCRyWQ8Hs/R0REhdOzYMdpXyKDMNIsWLVqyZAk1Bb/Xzs/Pj0x59uzZmDFjXF1dnzx5glO6u7tHjhzp6empVqtpBT569MjBwWH+/PmI8hZqDL+vLyAggJo4depUhNB//vMfagNYLJYx362DwZtHjO3SpUtJSUmmbgV4EWRkZMjl8vT0dFq6lZVVTk6OhYVFcnLynTt3TNK2/srKyqK9H1YsFvP5/OrqauK/Lxj85ZdfysvL4+Li+Hw+TrG0tJw7d+7Dhw81n0y9ePHi+Pj4Xt9V+vDhQ4TQq6++Sk0cNWoUQoj67nOxWBwXF7dmzRqzfre3Ab2AQXnFihW0O0oABowgiKysrEmTJrm5uWkulUqlmzdvbmtri4+Pp3UumwuVStXR0TF27FgWi4VTfv75Z4QQrTccfywoKKAmZmdnl5eXZ2Zm9lryqFGjOBxOZWUlNbGyspLFYvn7+1MTZ82aVVtbe/r0ab3X5kXwAgbl5+ru7j5+/PjUqVNdXFz4fL6/v//u3bt7enrwUjw2qFKpCgsL8VgNfg98X+mYQqFITU0dPnw4l8t1dnaOjY3Fd4UIoby8PHLY5/fff09ISLC3t3d0dIyKiqK+j11/+JXJPj4+XC7XwcFh+vTpFy9exIu2bt2KGxAUFIRTzp07h1OcnJx0WXE8WCqTySIiImxtba2trcPCwsjBH33KZ7iysrKGhgYtwxIffPBBZGTkjRs3UlJStJSjZe/ofoRoOcwGDP82ctOmTWQKDqO0sXF3d3eEEPWGoLa2ds2aNdnZ2ba2tr2WLBKJMjMzy8rKNm7cqFAompubMzIyLly4kJ6ePmLECGrO8ePHI4R+/PFHPdflBWHq/pNe9LdPWdPKlSup2Wh9ynhQYvv27c3NzQqF4vPPP7ewsMBDgqR+9SnX1dW98sorIpHo9OnTbW1tN2/eDAkJsbKyKioqIvPExMQghGJiYoqKitrb28+fP8/n8ydOnKjLaiId+pTr6+u9vLxEIlF+fr5Sqbx9+3ZsbCyLxaK+Ol6z8RKJhNb12deKi8VigUAwefJk3H6ZTDZu3Dgul3vp0iWDlB8WFjZkyBDa2+l7ZeQ+5SNHjuCjhZYuk8mEQiH+W6FQeHp6IoSOHj2KU2h9yrrsneceIbocZv0ll8tFIhHtxdW427ekpISaePfuXYTQa6+9RqZIpdJly5ZRtxKtTxnLzc0l47uTk9OhQ4c08yiVSoRQcHDwgFdkABjbp/wiBGXaQN/y5cufG5RDQ0OpGebNm8fhcJRKJZnSr6C8YMEChFBOTg6ZUl9fz+PxJBIJmYJPufz8fOpqIoQUCsVzV1OXoLxw4UKEEPX96mq12s3Njc/ny+Xyvhrfr6CMELp+/TqZcuPGDYSQWCzW8l3dyw8JCXFwcNAlvhg5KGdkZCCE9u7dS0unBmWCIIqLizkcjkAgqKioIDSCsi5757lHiC6HWb80NjaOHz8+ISGhu7ubmt5rUMbXyGRdBw4c8Pb2bm9vxx97Dco9PT2LFy/mcDiffvqpXC5XKBT79+/n8/kJCQldXV20xrBYLF9f34GtyMAwNii/jN0XUVFR5J0jJhaLu7q6ysvLB1ZgXl6ehYVFVFQUmeLi4jJmzJirV6/i50ySJk6cSP6Nr63q6uoGVinNyZMnEUIzZswgU3g8XkREREdHh6HuCgUCAb7NxPz9/d3c3MrKyurr6/Uv/NKlS83NzZMnT9a/KMPCPcUcDkd7tsDAwMzMTJVKFR8f39HRQVuq+97RcoTofpjpQqVSSaXS0aNH5+TkWFpaUhfZ29vjDLT85KIHDx6sXbs2OztbIBBoqeLIkSMHDx589913V69eLRKJnJyclixZgicm79mzh5aZzWZrbreX0wsYlPfs2bNr1y4tGZRKZXp6ur+/v4ODA+7Iw69wfvLkyQCq6+zsVCqV/4+9e49q4lobBv4EEpIQQrjJLdLKTfDWaNGKHnm5KZFXi5WC6KHXI8qpF1571OPduo7ac/Rltaerta8i0lUVazl2SYsXqqW6uhBoUQtWECrQFrkkJihXCQKZ74+9Ot90AiFIJAM8v7+YPTt79uxMHmb23jOj1+tlMhnzroGbN28CALnoo8lkMvpvGxsbAKD7soeC1EEkErF699zc3ABApVINfRPw+w+SydXVFQDu379vlvK5SSQSAUB3d/eAOVNSUhISEm7fvr1u3Tpm+qC+nf6OkEEdZgPq6emJj4+Xy+WffvopKyLD7xMkWIG+vr4eAEhfMOmECQsLo6tBpsTt2rWLLFZVVQFAbm4uAMyfP59ZTmRkJABcvHjRsEr0ZI8xbhQG5QG9+OKLe/fuXbVq1c8//6zX6ymKev/99wGA+n1KEADQI9EshulCodDBwYHP5xtekVEUFR4e/vR2hFkHmUym0+na2tqY6Wq1GgDc3d3JopWVFfNmKgBobm5mFdXfjgNAU1MTs4ng93BMQvPQy+cmDw8PACCdngNKT08PCAjIyMggl/OEid+OceY9zJKTk7u6urKysuixVj8/v6KiIvI3Ke3GjRvMj5BFElLXrl3LqgCr+8LPzw8MzrWZ2tvbmYutra0URZGmRmMuKPf29l67ds3d3T0lJWXcuHEkRhheN9na2tLxJSAgIC0tzUh6bGxsT08P6z7UAwcOPPPMM8M29XLp0qUAwJxU1NXVlZeXJxaLlUolSfHw8CDnO4RKpWJOFyX623EA0Ol05DY24qeffmpoaFAoFPRvaYjlc9PUqVPB4LSxP3Z2dl988YVEIvn444+Z6aZ8OwMy12G2Z8+esrKyL7/8UigU9pkhNDR08uTJZ86coSf59fb2nj592svLi9kDM6DZs2eDwSw6Mt+O9coPctiQpkajcKDPEGugLyIiAgAOHjyo0WgePXr07bffPvPMMwBw+fJlOs/ChQtlMlltbW1BQQGfzy8vLzeSrlarfX19fXx8Lly40Nzc3NTUdPjwYVtbW+boHBnG6ezspFO2bNkCfxw66w8McvZFa2srPb6flpZG5yGX1R9++GFbW1tVVdWyZcvkcjlrIK6/HVcoFDKZLDIy0sjsi6GUz9nZF3q93tXV1XBwkjXQx3Ty5EkA6G/2RX/fzoBHiCmHWWJiIgDU1NT0tzuffPJJf6GA2fiFhYUikWj58uWNjY1arTY5OZnP5+fm5vZXbJ8DfQ8fPvT39xcIBB988IFardZqtenp6ba2tnK5vKGhgZnz1KlTAHD27Nn+yn8aODvQN4KDMmuQwc3NzTDP//7v/zLz7Nixg6IojUaTnJzs5eUlEAjc3NzeeOONrVu3kgz04HJFRUVISIhEIvHy8mKOvPeXTmah+vj4CASCcePGRUVF0SG+sLDQsA7MlEWLFhnfU1OCMkVRWq12w4YN3t7eAoFAJpMplcq8vDxmhubm5qSkJA8PD7FYPG/evOLi4qCgIFKHLVu2GN9B8o+tvLxcqVRKpVKxWBwaGpqfn2+u8kNCQrg5+4KiqO3bt/P5/Pr6erKo0WiYX1+fkx/eeust1n8jI9+O6UeIkcOMiIiIsLOzY82mYDJyqsv6j3jz5s3o6Gh7e3s7O7uIiAjWd01LTk5mlaNUKum1Dx482Lx5c2BgoFAotLGx8fX1XbduHT3hhEY6uB8/ftxftZ8GDMqDwNnGshQTg/JT9QTPD3lKhj8oNzc3y+Vy1rMvOOjhw4disZg16Zj7yLMvmPMFhwdn48yY61NGaLBkMllOTs6ZM2cOHTpk6br0i6KolJQUe3v7vXv3Wroug1BTUxMbG7tt27bly5dbui5cgUEZoYHNmDHj+vXrFy9ebG1ttXRd+qZWq2tqavLy8kyczsERR44c2b9///79+y1dEQ7BoIwGQJ5ZUVpaWl9fz+Pxdu7caekaWcaECRPOnTtnb29v6Yr0zd3dPT8/f8qUKZauyOAcOHAAz5FZRsATYZBlbdq0adOmTZauBUJjBZ4pI4QQh2BQRgghDsGgjBBCHIJBGSGEOASDMkIIcYml717pA3m2N0IIPVXcvKOPR/3xLnsuKCwsJO/BRchE5OGrb7/9tqUrgkYSLy8vDr5XgYtBGaHBWrZsGQBkZWVZuiIIDRX2KSOEEIdgUEYIIQ7BoIwQQhyCQRkhhDgEgzJCCHEIBmWEEOIQDMoIIcQhGJQRQohDMCgjhBCHYFBGCCEOwaCMEEIcgkEZIYQ4BIMyQghxCAZlhBDiEAzKCCHEIRiUEUKIQzAoI4QQh2BQRgghDsGgjBBCHIJBGSGEOASDMkIIcQgGZYQQ4hAMygghxCEYlBFCiEMwKCOEEIdgUEYIIQ7BoIwQQhyCQRkhhDgEgzJCCHEIBmWEEOIQDMoIIcQhPIqiLF0HhAYtMzPz2LFjer2eLJaXlwPA5MmTyaKVldXKlSsTExMtVj+EnhQGZTQilZaWTp8+3UiGkpIShUIxbPVByFwwKKORKjAwsLKyss9Vfn5+d+/eHeb6IGQW2KeMRqpXX31VIBAYpgsEgjfffHP464OQWeCZMhqpampq/Pz8+jyA79696+fnN/xVQmjo8EwZjVQ+Pj4zZszg8XjMRB6PFxQUhBEZjVwYlNEI9tprr1lbWzNTrK2tX3vtNUvVB6Ghw+4LNILdv3/fw8ODnhgHAFZWVvX19e7u7hasFUJDgWfKaARzdXX9r//6L/pk2draOjQ0FCMyGtEwKKOR7dVXXzWyiNCIg90XaGRrbW11cXHp7u4GAIFAcP/+fQcHB0tXCqEnh2fKaGSzt7ePjo7m8/l8Pv+///u/MSKjkQ6DMhrxXnnlld7e3t7eXnzYBRoFsPsCjXg6nc7FxUWv1zc1NYnFYktXB6Eh4Vu6AggNlUgkio2NBQCMyGgUGENnyvHx8ZauAnpaVCoVj8dzc3OzdEXQ0/Kf//zH0lUYJmMoKPN4vODg4PHjx1u6IsOnqKgIAIKDgy1dkaeOHMasW64NnTlzZqwdA6NAXV1dUVHRGIpUY2hXebzPP/982bJllq7I8CEXB2PnFGNAY/AYGAWysrISEhLGTqTC2RcIIcQhGJQRQohDMCgjhBCHYFBGCCEOwaA8sNOnT/N4PB6PJxKJLF0XNHx+++23mJiY1tZWrVbL+92MGTN0Oh0zG3Mtj8ebOXOmpSrcp4cPHx4+fDgiIsLJyUksFvv7+ycmJpaWlhrmLCkpWbRokYODg1QqnT9//rVr14wUGxMTw+Px9u3bx0rv6ek5duzYCy+84Ozs7OjoGBQU9NFHHz1+/JjOsHXr1s8//9wsuzZaYVAe2PLlyymKioyMtHRFhk97e7u/v//ixYstXRGLKSkpmTlzZlRUlL29vYuLC0VRxcXFJH3Dhg3MnGRtYWGhs7MzRVHXr1+3UJX7tnnz5vXr1y9ZsqS8vLypqSkjI6OkpCQoKCg7O5uZ7fvvv587d65UKr1z584vv/zi4+MTFhZ26dKlPss8fvx4Tk5On6vefPPNpKSk+fPn37lzp6qqKiEhYf369S+//DKdYdWqVdu2bdu1a5cZ93G0ocYMAPj888+f+OORkZFCodCM9RkGcXFxcXFxT/DB1tZWHx+f6Ohos1fJRBKJ5E9/+pPZizXxGGhpaRk/fnxycjIzsbi4WCgUOjs7A8CpU6dYH6GDMtesXLly9erVzJSSkhIA8Pf3p1N6e3unTJni4eHx6NEjktLT0xMQEODl5aXT6VgF1tfXOzo6kkek7t27l7mquroaAGbMmMFMXLBgAQD88MMPzAqQuYkm7gI5szYx8yiAZ8qoD1KptLq6+sKFC5auiGUcPHhQpVLt3r2blS4SiTIzM62srJKTk3/++WeL1G2w0tPTjxw5wkxRKBRisbi6upr6febvd999V1ZWFhcXR9+nbm1tvWLFinv37p07d45V4KpVq+Lj46Oiogy3de/ePQCYNGkSMzEwMBAAamtrmRWIi4vbuHFjT0/PUHdvNMKgjNAfUBSVnp4+e/ZsT09Pw7VKpXLnzp1tbW3x8fGszuWRoqOjo7Ozc+rUqfQNkN9++y0AsHrDyWJeXh4zMSMjo6ysLDU1tc+SAwMDBQJBRUUFM7GiooLH402bNo2ZuHTp0rq6uvPnzw95b0YhDMp9q6ioeOmll2QymUQiCQkJyc/PN8yj0WhSUlImTJhgY2Mzbty42NhYcmEIANnZ2fTIz6+//pqQkODg4ODs7Lx48WJyiUd0dXXt3r07MDDQ1tbWycnpxRdf/Oqrr3p7e03ZxNPDrDyJO6bsTmpqKskwfvz44uLiyMhIqVRqa2sbHh5ODxnt27eP5Jk3bx5Jyc3NJSkuLi7Mcjo6Oq5du0ZW8fnD+tis0tJStVqtUCj6y/DOO+9ERUXdunVr/fr1Rsppamr629/+5uvra2Nj4+joGB0dfeXKFbLKxMMDns4BQO7w3LFjB51Cwijr7nO5XA4AzAuCurq6jRs3ZmRkSKXSPkt2c3NLTU0tLS3dvn27RqN58ODBwYMHv/nmm927d0+cOJGZc/r06QDw9ddfD3FfRidL958MHzC5T/nu3bsODg5yufzSpUttbW23bt2KioqaMGECs0+5oaHh2WefdXNzO3/+fFtb2+3bt0NDQ0UiUUFBAZ1nyZIlALBkyZKCgoL29vbLly+LxeJZs2bRGZKSkmQy2aVLlx49eqRSqTZt2gQAV65cMX0Txj1xnzJd+c7OTtN3h6IohUIhkUjmzJlD8hQXFz/33HM2NjZXr16l8xj2FwcFBbE6ZPvrUw4PD3dyciosLHyynTLlGDhx4gQAvPvuu6z04uJimUxG/tZoNF5eXgBw8uRJksLqU25sbPT29nZzc8vJyWlpaamsrIyNjeXxeEePHqXzDNieQz8ADKlUKjc3t6SkJGYi6fYlz5eg3b17FwCef/55OkWpVK5Zs4bZSqw+ZSIrK4uO7y4uLseOHTPM09LSAgAhISGm1Hms9SmPpV01OSiTR0acOXOGTqmvrxcKhcyg/PrrrwNAZmYmndLY2CgUCoOCgugU8qvLycmhU+Li4gBAo9GQRW9v77lz5zI3PXHiRDoom7IJ455GUDayOxRFkRPMH3/8kU65desWACgUCjplKEE5NDTU0dHxiaOSKcfAwYMHAeDQoUOsdGZQpiiqsLBQIBBIJJI7d+5QBkH5jTfeAIDPPvuMTtHpdJ6enmKxWKVSkZQB23PoBwCLVqudPn16QkJCT08PM73PoEzOkeltpaWl+fj4tLe3k8U+g7Jer1+1apVAIHjvvfdUKpVGozly5IhYLE5ISOju7mZVhsfj+fn5mVLtsRaUsfuiD7m5uQCgVCrpFE9PT9b1V3Z2tpWVFXPSmLu7+5QpU27cuFFXV8fMOWvWLPpvcnrV0NBAFhcuXFhQULB69eqioiLSa1FZWRkWFjbYTQwnI7tDSCQScnFKTJs2zdPTs7S0tLGxcehbv3r16oMHD+bMmTP0ovpDemwEAoHxbMHBwampqR0dHfHx8Z2dnay1Z8+eBYBFixbRKUKhMDIysrOzk3XNbqRh+fPjAAAgAElEQVQ9zXsAdHR0KJXKyZMnZ2Zm0u//Jsg7tDo6Olj56VW1tbWbN2/OyMiQSCRGNnHixImjR4/+9a9/ffvtt93c3FxcXFavXk0mJn/00UeszHw+37DdEGCfsqGurq62tjaRSGRnZ8dMd3V1ZeZpaWnR6/UymYx548DNmzcBgFz30WQyGf23jY0NAOj1erJ46NCh48eP19TUREZG2tvbL1y4kPyYB7uJ4WRkdwjDt+SRprt///7Tr50ZkFuEyJtYjUtJSUlISLh9+/a6deuY6eS7E4lErL5X8rhnlUrFTOyvPc17APT09MTHx8vl8k8//ZQVkeH3CRKsQF9fXw8A5FyEdMKEhYXR1SBT4nbt2kUWq6qq4Pezmfnz5zPLIRP8L168aFglfClBnzAoswmFQqlUqtPp2tvbmekPHjxg5nFwcODz+YYXZRRFhYeHm7gtcnB/8803zc3N2dnZFEXFxsa+9957ZtzE8GtqaqL++JRFEo7p/2pWVlbMW7wAoLm5mVXIgE9Gfno8PDwAgHR6Dig9PT0gICAjI4NczhNCoVAmk+l0ura2NmZmtVoNAO7u7qaUbN4DIDk5uaurKysrix419fPzI4/bBgBS2o0bN5gfIYskpK5du5ZVAVb3hZ+fHxicazOxfk2tra0URZGmRiwYlPsQHR0Nv//bJ7RabWVlJTNPbGxsT08P61bUAwcOPPPMM6bPvnRwcCAD3wKBYMGCBWRQnp4nZJZNDD+dTkdufiN++umnhoYGhUJB/wI9PDzIWRihUqmYk1gJW1tbOnAHBASkpaU95Vr/f1OnTgWD08b+2NnZffHFFxKJ5OOPP2amL126FACYU766urry8vLEYjGzW8w4cx0Ae/bsKSsr+/LLL4VCYZ8ZQkNDJ0+efObMGXqSX29v7+nTp728vJg9MAOaPXs2GMyiI/PtWG9aIAcAaWrENrQu6ZEETB7oq6qqcnJyomdflJWVKZVKV1dX5kCfWq329fX18fG5cOFCc3NzU1PT4cOHbW1tmZswHCvbsmULMMbBZDJZaGhoaWmpTqdTq9V79uwBgH379pm+CeOexkCfkd2hKEqhUMhkssjISCOzL8jF/ocfftjW1lZVVbVs2TK5XM4a6Fu4cKFMJqutrS0oKODz+eXl5SR9GGZf6PV6V1dXw2FG1kAf08mTJwGgv9kXra2t9OyLtLQ0Os+A7WnKAUBe4F1TU9Pf7nzyySf9/faZzVhYWCgSiZYvX97Y2KjVapOTk/l8fm5ubn/F9jnQ9/DhQ39/f4FA8MEHH6jVaq1Wm56ebmtrK5fLGxoamDlPnToFAGfPnu2vfKaxNtA3lnZ1MLdZV1ZWvvTSS/b29mSW0rlz5+hnX6xcuZLkIRNRfXx8BALBuHHjoqKiLl++TFYVFhYyj/4dO3ZQf7yiX7RoEUVRJSUlycnJkyZNIvOUg4ODjx49qtfr6WoY2YQpniwo0/3aRGJioom7Q1GUQqGQy+Xl5eVKpVIqlYrF4tDQ0Pz8fGb5zc3NSUlJHh4eYrF43rx5xcXFQUFBpJwtW7aQPBUVFSEhIRKJxMvLizkRIiQk5GnPvqAoavv27Xw+v76+nixqNBrmzvY5+eGtt95i/V/RarUbNmzw9vYWCAQymUypVObl5ZFVprfngAdARESEnZ0dazYFk5FTXdb/tps3b0ZHR9vb29vZ2UVERLC+NVpycjKrHKVSSa998ODB5s2bAwMDhUKhjY2Nr6/vunXr6AknNNLB/fjx4/6qzYRBedQaVFAeHYZypvxkSFAezi0OionHQHNzs1wuZz37goMePnwoFotZk465jzz7gjlf0LixFpSxTxkhNplMlpOTc+bMmUOHDlm6Lv2iKColJcXe3n7v3r2Wrssg1NTUxMbGbtu2bfny5ZauC0dhUEaoDzNmzLh+/frFixdbW1stXZe+qdXqmpqavLw8E6dzcMSRI0f279+/f/9+S1eEuzAoI/Mgz6woLS2tr6/n8Xg7d+60dI2GasKECefOnbO3t7d0Rfrm7u6en58/ZcoUS1dkcA4cOIDnyMYN66Ne0Ci2adMm8uwOhNBQ4JkyQghxCAZlhBDiEAzKCCHEIRiUEUKIQzAoI4QQh/CoP97fOYpZ8MFjCKEhGjuRamxNiduwYcNTfT4617z//vsA8Pbbb1u6IlyRkJAw1o6BUaCwsPDf//63pWsxfMZWUJ4zZ86yZcssXYvhQ16ROaZ22biEhISxdgyMDmMqKGOfMkIIcQgGZYQQ4hAMygghxCEYlBFCiEMwKP+BnZ0d883BVlZWjo6OCoVizZo1rNdKolHvt99+i4mJaW1t1Wq19CExY8YM+kV2BHMtj8ebOXOmpSrcp4cPHx4+fDgiIsLJyUksFvv7+ycmJpaWlhrmLCkpWbRokYODg1QqnT9/PuvdgCwxMTE8Hm/fvn2s9J6enmPHjr3wwgvOzs6Ojo5BQUEfffQR8z25W7duJQ+tR/3BoPwH7e3tP/74IwAsWbKEoqju7u6Kiop//OMfFRUVM2fOfPPNNx89emTpOqLhUFJSMnPmzKioKHt7excXF4qiyNtgS0pKNmzYwMxJ1hYWFpLXQV2/ft1CVe7b5s2b169fv2TJkvLy8qampoyMjJKSkqCgoOzsbGa277//fu7cuVKp9M6dO7/88ouPj09YWNilS5f6LPP48eM5OTl9rnrzzTeTkpLmz59/586dqqqqhISE9evXv/zyy3SGVatWbdu2bdeuXWbcx9HGgm89GWZg2quAmEGZ6e9//zsAxMTEMN+hx3HD/DooiURi+L5RTpVv4jHQ0tIyfvx41uugiouLhUKhs7MzAJw6dYr1ETooc83KlStXr17NTCkpKQEAf39/OqW3t3fKlCkeHh6PHj0iKT09PQEBAV5eXjqdjlVgfX29o6Pjq6++CgYvTq2urgaAGTNmMBMXLFgAAD/88AOzAjwez/R3s+HroFDf/vWvf82ePfurr746ffq0peuCnq6DBw+qVKrdu3ez0kUiUWZmppWVVXJy8s8//2yRug1Wenr6kSNHmCkKhUIsFldXV1O/3yP33XfflZWVxcXFicVikmJtbb1ixYp79+6dO3eOVeCqVavi4+OjoqIMt3Xv3j0AmDRpEjMxMDAQAGpra5kViIuL27hxY09Pz1B3bzTCoGwqHo+3bt06APj4448tXRf0FFEUlZ6ePnv2bE9PT8O1SqVy586dbW1t8fHxrM7lkaKjo6Ozs3Pq1Kn0gwe+/fZbAGD1hpPFvLw8ZmJGRkZZWVlqamqfJQcGBgoEgoqKCmZiRUUFj8ebNm0aM3Hp0qV1dXXnz58f8t6MQhiUB2HevHkAUFRU1N3dTVI0Gk1KSsqECRNsbGzGjRsXGxtLrg0BIDs7mx78+fXXXxMSEhwcHJydnRcvXkyu8oiurq7du3cHBgba2to6OTm9+OKLX331VW9vL53ByCbMiLzK3tfX18bGxtHRMTo6+sqVK2TVvn37yF6Q3QeA3NxckuLi4kJSyLugOjo6rl27Rlbx+Xw6ncfjjR8/vri4ODIyUiqV2trahoeH0+NIQyn/aSgtLVWr1QqFor8M77zzTlRU1K1bt9avX2+kHCNNauKxAU/n2yf3ee7YsYNOIWF0/PjxzGxyuRwAmBcEdXV1GzduzMjIkEqlfZbs5uaWmppaWlq6fft2jUbz4MGDgwcPfvPNN7t37544cSIz5/Tp0wHg66+/HuK+jE6W7j8ZPjC0PmWKojo7O0mjNTQ0UBTV0NDw7LPPurm5nT9/vq2t7fbt26GhoSKRqKCggP7IkiVLSGkFBQXt7e2XL18Wi8WzZs2iMyQlJclkskuXLj169EilUpE3Kl25coWsNWUTRpjYp9zY2Ojt7e3m5paTk9PS0lJZWRkbG8vj8Y4ePUrnMezPDQoKYvWi9tfnq1AoJBLJnDlzSCMUFxc/99xzNjY2V69eNUv54eHhTk5OhYWFA+6pKcfAiRMnAODdd99lpRcXF8tkMvK3RqPx8vICgJMnT5IUVp+yKU064LExxG+/TyqVys3NLSkpiZlIun2LioqYiXfv3gWA559/nk5RKpVr1qxhthKrT5nIysqi47uLi8uxY8cM87S0tABASEiIKXUea33KY2lXhxyU6akXJCi//vrrAJCZmUlnaGxsFAqFQUFBdAr54eXk5NApcXFxAKDRaMiit7f33LlzmVuZOHEiHZRN2YQRJgblN954AwA+++wzOkWn03l6eorFYpVKRVKGGJQB4Mcff6RTbt26BQAKhcLIZ00vPzQ01NHR0ZRQZcoxcPDgQQA4dOgQK50ZlCmKKiwsFAgEEonkzp07lEFQNqVJBzw2hvjtG9JqtdOnT09ISOjp6WGm9xmUyTkyva20tDQfH5/29nay2GdQ1uv1q1atEggE7733nkql0mg0R44cEYvFCQkJ3d3drMrweDw/Pz9Tqj3WgjJ2XwxCY2MjAAgEAnJZnZ2dbWVltXjxYjqDu7v7lClTbty4UVdXx/zgrFmz6L/JGVZDQwNZXLhwYUFBwerVq4uKikivRWVlZVhYGFlr+iaG4uzZswCwaNEiOkUoFEZGRnZ2dprrAlMikZArVmLatGmenp6lpaWkSYfo6tWrDx48MNez30hPsUAgMJ4tODg4NTW1o6MjPj6evoSimd6kRo4N8377HR0dSqVy8uTJmZmZ1tbWzFUODg4kAys/vaq2tnbz5s0ZGRkSicTIJk6cOHH06NG//vWvb7/9tpubm4uLy+rVq8nE5I8++oiVmc/nG7YbAuxTHpT8/HwAmDNnjkAg6Orqamlp0ev1MpmMee/AzZs3AYBc+tFkMhn9t42NDQDo9XqyeOjQoePHj9fU1ERGRtrb2y9cuJD8ngFgUJt4YmQrIpGI1VHo5uYGACqVyixbIb9tJldXVwC4f/++Wco3I5FIBAD0sIERKSkpCQkJt2/fJiPAtEE1aX/Hhnm//Z6envj4eLlc/umnn7IiMvw+QYIV6Ovr6wGA9AWTTpiwsDC6GmRK3K5du8hiVVUVAOTm5gLA/PnzmeVERkYCwMWLFw2rRE/2QEwYlE2l1+sPHToEAGvXrgUAoVDo4ODA5/MNr8soigoPDzexWHJ8f/PNN83NzdnZ2RRFxcbGvvfee2bchHFCoVAmk+l0ura2Nma6Wq0GAHd3d7JoZWXFvC8LAJqbmw33pb+tNDU1UX98SDkJxyQ0D718M/Lw8AAA0uk5oPT09ICAgIyMDHI5T5jYpMaZ99tPTk7u6urKysqiB0j9/PyKiorI36Q01j2rZJGE1LVr17IqwOq+8PPzA4Nzbab29nbmYmtrK0VRpKkRCwZlU23btu2HH35YunRpfHw8SYmNje3p6WHdjXrgwIFnnnnG9AmYDg4OZOxbIBAsWLCAjMvTU4XMsokBLV26FACY85O6urry8vLEYrFSqSQpHh4e5NSJUKlUzJmnhK2tLR1YAwIC0tLS6FU6nY7cEUf89NNPDQ0NCoWC/lkOsXwzmjp1KhicNvbHzs7uiy++kEgkrImSpjTpgMz17e/Zs6esrOzLL78UCoV9ZggNDZ08efKZM2foSX69vb2nT5/28vJi9sAMaPbs2WAwi47MtwsODmYmku+aNDViG1qX9EgCgx/o6+3tVavV2dnZERERAPCXv/yFvuWJoii1Wu3r6+vj43PhwoXm5uampqbDhw/b2toyt0IGczo7O+mULVu2AGPUSyaThYaGlpaW6nQ6tVq9Z88eANi3b5/pmzDiCWZftLa20lMF0tLS6DzkCv3DDz9sa2urqqpatmyZXC5nDcQtXLhQJpPV1tYWFBTw+fzy8nKSrlAoZDJZZGSkkdkXQynfvLMv9Hq9q6ur4Ygia6CP6eTJkwDQ3+yL/pp0wGPDlG8/MTERAGpqavrbnU8++aS/3z6zxQoLC0Ui0fLlyxsbG7VabXJyMp/Pz83N7a/YPgf6Hj586O/vLxAIPvjgA7VardVq09PTbW1t5XI5GRunnTp1CgDOnj3bX/lMY22gbyztqgk/SNY4Bo/Hk8lk06ZNe+utt27cuGGYn8xF9fHxEQgE48aNi4qKunz5MllVWFjILGrHjh3UH6/fFy1aRFFUSUlJcnLypEmTyDzl4ODgo0ePMu/kNrKJAZl+m7VWq92wYYO3t7dAIJDJZEqlMi8vj5mhubk5KSnJw8NDLBbPmzevuLg4KCiI7MiWLVtInoqKipCQEIlE4uXlxZy9oFAo5HJ5eXm5UqmUSqVisTg0NDQ/P99c5YeEhJhx9gVFUdu3b+fz+fX19WRRo9Ewv7g+Jz+89dZbrH8hRprUxGODMuHbj4iIsLOzY82mYDJyqsv6N3bz5s3o6Gh7e3s7O7uIiAjWF0RLTk5mlaNUKum1Dx482Lx5c2BgoFAotLGx8fX1XbduHT3hhEY6uB8/ftxftZkwKI9aJv4gR5NhfvZFf0hQtnQtKMrkY6C5uVkul7OefcFBDx8+FIvFrEnH3EeefcGcL2jcWAvK2KeMEJtMJsvJyTlz5gwZ2uUmiqJSUlLs7e337t1r6boMQk1NTWxs7LZt25YvX27punAUBmWE+jBjxozr169fvHixtbXV0nXpm1qtrqmpycvLM3E6B0ccOXJk//79+/fvt3RFuAuDMnqKyDMrSktL6+vreTzezp07LV2jQZgwYcK5c+fs7e0tXZG+ubu75+fnT5kyxdIVGZwDBw7gObJxT+upLggBwKZNm8jTPBBCJsIzZYQQ4hAMygghxCEYlBFCiEMwKCOEEIeMrYE+1p1Uox55gENWVpalK/LUdXV1AUB/z3ZgGmvHwCgw1r4yHvXH+ztHseF5xhhC6GkYQ5Fq7OwqGsWWLVsGY+OaAI162KeMEEIcgkEZIYQ4BIMyQghxCAZlhBDiEAzKCCHEIRiUEUKIQzAoI4QQh2BQRgghDsGgjBBCHIJBGSGEOASDMkIIcQgGZYQQ4hAMygghxCEYlBFCiEMwKCOEEIdgUEYIIQ7BoIwQQhyCQRkhhDgEgzJCCHEIBmWEEOIQDMoIIcQhGJQRQohDMCgjhBCHYFBGCCEOwaCMEEIcgkEZIYQ4BIMyQghxCAZlhBDiEAzKCCHEIRiUEUKIQzAoI4QQh/AtXQGEnsSjR4+6urroxcePHwPAw4cP6RShUGhra2uBmiE0NDyKoixdB4QG7eOPP167dq2RDIcOHVqzZs2w1Qchc8GgjEYkjUbj4eHR29vb51pra+vGxsZx48YNc60QGjrsU0Yj0rhx4yIjI62trQ1XWVtbz58/HyMyGqEwKKOR6pVXXunzOo+iqFdeeWX464OQWWD3BRqp2traxo0bxxzuI2xsbDQajb29vUVqhdAQ4ZkyGqmkUunixYsFAgEzkc/nx8TEYERGIxcGZTSCJSYm9vT0MFN6e3sTExMtVR+Ehg67L9AI9vjxYxcXl7a2NjrFzs5Oq9UKhUIL1gqhocAzZTSC2djYxMXF2djYkEWBQLBs2TKMyGhEw6CMRrY///nP5HY+AOju7v7zn/9s2fogNETYfYFGNr1e7+bmptVqAcDZ2VmtVvc5eRmhkQLPlNHIZmVllZiYaGNjIxAIXnnlFYzIaKTDoIxGvBUrVjx+/Bj7LtDogN0XaMSjKOrZZ58FgN9++43H41m6OggNCT66E414PB7v9ddf5/F4GJHRaECNLnFxcZZuUYTQ8ImLi7N01DGzUXimHBwc/Pbbb1u6FlyXkJCwYcOGOXPmWLoinFBYWPjvf//7888/t3RF0OC8//77lq6C+Y3CoDx+/Phly5ZZuhZcl5CQMGfOHGwo2r///W9sjRHnP//5j6WrYH44+wIhhDgEgzJCCHEIBmWEEOIQDMoIIcQhGJQBAE6fPk1muYpEIkvXZdAuXLgwceJEPn8Ujtly1m+//RYTE9Pa2qrVanm/mzFjhk6nY2ZjruXxeDNnzrRUhfv08OHDw4cPR0REODk5icVif3//xMTE0tJSw5wlJSWLFi1ycHCQSqXz58+/du2akWJjYmJ4PN6+fftY6T09PceOHXvhhRecnZ0dHR2DgoI++ugj+mFSALB161acAAMYlInly5dTFBUZGWnpigxOdXV1TEzMtm3b1Gr18Gyxvb3d399/8eLFw7M5biopKZk5c2ZUVJS9vb2LiwtFUcXFxSR9w4YNzJxkbWFhobOzM0VR169ft1CV+7Z58+b169cvWbKkvLy8qakpIyOjpKQkKCgoOzubme3777+fO3euVCq9c+fOL7/84uPjExYWdunSpT7LPH78eE5OTp+r3nzzzaSkpPnz59+5c6eqqiohIWH9+vUvv/wynWHVqlXbtm3btWuXGfdxRLLsNGmzi4uLe+LJ5JGRkUKh0Lz1eapWrFjxz3/+s7u7Wy6XW1tbD+qzAPD5558Pdoutra0+Pj7R0dGD/aC5SCSSP/3pT2YvlpygmZKzpaVl/PjxycnJzMTi4mKhUOjs7AwAp06dYn2EDspcs3LlytWrVzNTSkpKAMDf359O6e3tnTJlioeHx6NHj0hKT09PQECAl5eXTqdjFVhfX+/o6Pjqq68CwN69e5mrqqurAWDGjBnMxAULFgDADz/8wKwAj8cz/cgcyu+ds/BMeQQ7duzY1q1bh7PjQiqVVldXX7hwYdi2yDUHDx5UqVS7d+9mpYtEoszMTCsrq+Tk5J9//tkidRus9PT0I0eOMFMUCoVYLK6urqZ+fyTOd999V1ZWFhcXJxaLSYq1tfWKFSvu3bt37tw5VoGrVq2Kj4+Piooy3Na9e/cAYNKkSczEwMBAAKitrWVWIC4ubuPGjay3fI0pGJRHMPp3goYHRVHp6emzZ8/29PQ0XKtUKnfu3NnW1hYfH8/qXB4pOjo6Ojs7p06dSj9F5NtvvwUAVm84WczLy2MmZmRklJWVpaam9llyYGCgQCCoqKhgJlZUVPB4vGnTpjETly5dWldXd/78+SHvzUg1doNyRUXFSy+9JJPJJBJJSEhIfn6+YR6NRpOSkjJhwgQbG5tx48bFxsaS6zsAyM7Opgdwfv3114SEBAcHB2dn58WLF5MrNaKrq2v37t2BgYG2trZOTk4vvvjiV1991dvba8omuIa5yyTomNIIqampJMP48eOLi4sjIyOlUqmtrW14eDg9XrRv3z6SZ968eSQlNzeXpLi4uDDL6ejouHbtGlk1/GObpaWlarVaoVD0l+Gdd96Jioq6devW+vXrjZTT1NT0t7/9zdfX18bGxtHRMTo6+sqVK2SViccVPJ0jh9wgt2PHDjqFhNHx48czs8nlcgBgXhDU1dVt3LgxIyNDKpX2WbKbm1tqamppaen27ds1Gs2DBw8OHjz4zTff7N69e+LEicyc06dPB4Cvv/56iPsyglm6/8TMTOxjunv3roODg1wuv3TpUltb261bt6KioiZMmMDsU25oaHj22Wfd3NzOnz/f1tZ2+/bt0NBQkUhUUFBA51myZAkALFmypKCgoL29/fLly2KxeNasWXSGpKQkmUx26dKlR48eqVSqTZs2AcCVK1dM34Qphq1Pmfp9lzs7O1kpRhqBoiiFQiGRSObMmUPyFBcXP/fcczY2NlevXqXzGPYXBwUFsXpj++tTDg8Pd3JyKiwsfII9okzuUz5x4gQAvPvuu6z04uJimUxG/tZoNF5eXgBw8uRJksLqU25sbPT29nZzc8vJyWlpaamsrIyNjeXxeEePHqXzDNik5jpymFQqlZubW1JSEjORdPsWFRUxE+/evQsAzz//PJ2iVCrXrFnDbCVWnzKRlZVFx3cXF5djx44Z5mlpaQGAkJAQU+o8KvuUx2hQjo+PB4AzZ87QKfX19UKhkBmUX3/9dQDIzMykUxobG4VCYVBQEJ1Cfjw5OTnMCgCARqMhi97e3nPnzmVueuLEiXRQNmUTpuBCUDbSCBRFkbPLH3/8kU65desWACgUCjplKEE5NDTU0dHxiUOSiUH54MGDAHDo0CFWOjMoUxRVWFgoEAgkEsmdO3cog6D8xhtvAMBnn31Gp+h0Ok9PT7FYrFKpSMqATWquI4em1WqnT5+ekJDQ09PDTO8zKJNzZHpbaWlpPj4+7e3tZLHPoKzX61etWiUQCN577z2VSqXRaI4cOSIWixMSErq7u1mV4fF4fn5+plR7VAblMdp9kZubCwBKpZJO8fT0ZF1GZWdnW1lZMad/ubu7T5ky5caNG3V1dcycs2bNov8mZ0kNDQ1kceHChQUFBatXry4qKiK9FpWVlWFhYYPdBPcZaQRCIpGQK1Ni2rRpnp6epaWljY2NQ9/61atXHzx48LQfekc6bQQCgfFswcHBqampHR0d8fHxnZ2drLVnz54FgEWLFtEpQqEwMjKys7OTdc1upEnNe+R0dHQolcrJkydnZmay3qfl4OBAMrDy06tqa2s3b96ckZEhkUiMbOLEiRNHjx7961//+vbbb7u5ubm4uKxevZpMTP7oo49Ymfl8vmG7jR1jMSh3dXW1tbWJRCI7OztmuqurKzNPS0uLXq+XyWTM+f83b94EAHL5RpPJZPTf5HX3er2eLB46dOj48eM1NTWRkZH29vYLFy4kv8nBboL7jDQCQX7DTKTB79+///RrZx7k3qLu7u4Bc6akpCQkJNy+fXvdunXMdPKli0QiVt+rm5sbAKhUKmZif01q3iOnp6cnPj5eLpd/+umnhm84JBMkWIG+vr4eAMhJDOmECQsLo6tBpsTt2rWLLFZVVcHvp0Hz589nlkPuDLh48aJhlcbyIPZYDMpCoVAqlep0uvb2dmb6gwcPmHkcHBz4fL7htRVFUeHh4SZuixyj33zzTXNzc3Z2NkVRsbGx7733nhk3MVI0NTVRf3z3GAnH9P9CKysr5v1dANDc3MwqxLLvFvHw8AAA0uk5oPT09ICAgIyMDHI5TwiFQplMptPp2tramJnJ7T/u7u6mlGzeIyc5ObmrqysrK4seOPXz8ysqKp03mgAAACAASURBVCJ/k9Ju3LjB/AhZJCF17dq1rAqwui/8/PzA4FybifUzbG1tpSiKNPXYNBaDMgBER0fD7/+9Ca1WW1lZycwTGxvb09PDuqP0wIEDzzzzjOmTKB0cHMj4tUAgWLBgARlbp6f7mGUTI4VOpyN3vhE//fRTQ0ODQqGgf34eHh7kFIxQqVTMGayEra0tHbgDAgLS0tKecq3/YOrUqWBw2tgfOzu7L774QiKRfPzxx8z0pUuXAgBzyldXV1deXp5YLGb2pxlnriNnz549ZWVlX375pVAo7DNDaGjo5MmTz5w5Q0/y6+3tPX36tJeXF7MHZkCzZ88Gg1l0ZL5dcHAwM5EcA6Spx6ihdUlzjokd/1VVVU5OTvTsi7KyMqVS6erqyhzoU6vVvr6+Pj4+Fy5caG5ubmpqOnz4sK2tLXN8zHDUa8uWLcAY0ZLJZKGhoaWlpTqdTq1W79mzBwD27dtn+iZMwYWBPiONQFGUQqGQyWSRkZFGZl+QK/0PP/ywra2tqqpq2bJlcrmcNdC3cOFCmUxWW1tbUFDA5/PLy8tJ+vDMvtDr9a6uroYjjayBPqaTJ08CQH+zL1pbW+nZF2lpaXSeAZvUlCMnMTERAGpqavrbnU8++aS/sMBsycLCQpFItHz58sbGRq1Wm5yczOfzc3Nz+yu2z4G+hw8f+vv7CwSCDz74QK1Wa7Xa9PR0W1tbuVze0NDAzHnq1CkAOHv2bH/lM43Kgb4xGpQpiqqsrHzppZfs7e3JZKNz587Rz75YuXIlyUPmk/r4+AgEgnHjxkVFRV2+fJmsKiwsZB7EO3bsoP54bb5o0SKKokpKSpKTkydNmkTmKQcHBx89elSv19PVMLKJAfX5kAHmzCojniAo073hRGJioomNQFGUQqGQy+Xl5eVKpVIqlYrF4tDQ0Pz8fGb5zc3NSUlJHh4eYrF43rx5xcXFQUFBpJwtW7aQPBUVFSEhIRKJxMvLizkLIiQkZBhmX1AUtX37dj6fX19fTxY1Gg1zf/uc/PDWW2+x/rVotdoNGzZ4e3sLBAKZTKZUKvPy8sgq05t0wCMnIiLCzs6ONZuCycipLuvf282bN6Ojo+3t7e3s7CIiIlhfHC05OZlVjlKppNc+ePBg8+bNgYGBQqHQxsbG19d33bp19IQTGungfvz4cX/VZsKgPAKMyi/paXiCoDwUJCgP2+YGy/Sg3NzcLJfLWc++4KCHDx+KxWLWpGPuI8++YM4XNG5U/t7HaJ8yQk9GJpPl5OScOXPm0KFDlq5LvyiKSklJsbe337t3r6XrMgg1NTWxsbHbtm1bvny5petiSRiUERqcGTNmXL9+/eLFi62trZauS9/UanVNTU1eXp6J0zk44siRI/v379+/f7+lK2JhGJS5i9c/MmA4IpBnVpSWltbX1/N4vJ07d1q6RmYwYcKEc+fO2dvbW7oifXN3d8/Pz58yZYqlKzI4Bw4cGOPnyAS+roK7qD+O8IxQmzZtIk/8QAiZAs+UEUKIQzAoI4QQh2BQRgghDsGgjBBCHDIKB/rq6uqysrIsXYsRgHXz2FhGmgIPmxGnrq6O9VaU0cDSd6+YGXkWOEJojBh9d/SNwjPluLg48qoxZAR5kfuyZcssXRFOyMrKSkhIoEbFHMQxhbxCaJTBPmWEEOIQDMoIIcQhGJQRQohDMCgjhBCHYFBGCCEOwaD8B3Z2dsyHsVlZWTk6OioUijVr1rDeHYnGst9++y0mJqa1tVWr1dJHy4wZM+gX2RHMtTweb+bMmZaqsHEXLlyYOHEi/eJUQyUlJYsWLXJwcJBKpfPnz2e9G/Dhw4eHDx+OiIhwcnISi8X+/v6JiYmlpaVGthgTE8Pj8fbt28dM3Lp1K3nbwBiHQfkP2tvbf/zxRwBYsmQJRVHd3d0VFRX/+Mc/KioqZs6c+eabbz569MjSdUQWVlJSMnPmzKioKHt7excXF4qiyAthS0pKNmzYwMxJ1hYWFpLXQV2/ft1CVe5XdXV1TEzMtm3byOu0+/T999/PnTtXKpXeuXPnl19+8fHxCQsLu3TpEp1h8+bN69evX7JkSXl5eVNTU0ZGRklJSVBQUHZ2dp8FHj9+vM83ma1atWrbtm27du0a+n6NbBadJW1+Q389DDMoM/39738HgJiYGOYb9kYuGMbXQUkkEsOXjXKqfNNfB9XS0jJ+/HjW66CKi4uFQqGzszMAnDp1ivUROihz0IoVK/75z392d3f39+7d3t7eKVOmeHh4PHr0iKT09PQEBAR4eXnpdDqSsnLlytWrVzM/VVJSAgD+/v6GBdbX1zs6Or766qtg8HJV6vfXQZl+ZOLroMa0f/3rX7Nnz/7qq69Onz5t6bogizl48KBKpdq9ezcrXSQSZWZmWllZJScn//zzzxap2xM4duzY1q1bjXRcfPfdd2VlZXFxcWKxmKRYW1uvWLHi3r17586dIynp6elHjhxhfkqhUIjF4urqasrgfpxVq1bFx8dHRUX1uTmFQhEXF7dx48aenp4n36sRDoOyqXg83rp16wDg448/tnRdkGVQFJWenj579mxPT0/DtUqlcufOnW1tbfHx8azOZc6iQ21/vv32WwBg9YaTxby8vP4+1dHR0dnZOXXqVB6Px0zPyMgoKytLTU01ssWlS5fW1dWdP39+wMqPVhiUB2HevHkAUFRU1N3dTVI0Gk1KSsqECRNsbGzGjRsXGxtLLtwAIDs7mx7h+fXXXxMSEhwcHJydnRcvXlxdXU2X2dXVtXv37sDAQFtbWycnpxdffPGrr77q7e2lMxjZxDAg77H39fW1sbFxdHSMjo6+cuUKWbVv3z6yd6RZACA3N5ekuLi4kBTyLqiOjo5r166RVeSkjKTzeLzx48cXFxdHRkZKpVJbW9vw8HB6EGko5T8lpaWlarVaoVD0l+Gdd96Jioq6devW+vXrjZRjpFVNPGxguA6MiooKAGA99EculwOAkQsC8pyDHTt2MBPr6uo2btyYkZEhlUqNbHH69OkA8PXXXw+h1iOcpftPzOzp9SlTFNXZ2UkaraGhgaKohoaGZ5991s3N7fz5821tbbdv3w4NDRWJRAUFBfRHlixZQkorKChob2+/fPmyWCyeNWsWnSEpKUkmk126dOnRo0cqlYq8OenKlStkrSmbeDJgQp9yY2Ojt7e3m5tbTk5OS0tLZWVlbGwsj8c7evQoncewPzcoKIjVhdpfn69CoZBIJHPmzCGNU1xc/Nxzz9nY2Fy9etUs5YeHhzs5ORUWFhrfTcrkPuUTJ04AwLvvvstKLy4ulslk5G+NRuPl5QUAJ0+eJCmsPmVTWnXAw8bsB0Z/fcoLFiwAgKKiImbi3bt3AeD555/vsyiVSuXm5paUlMRKVyqVa9asIX+TljTsU6YoqqWlBQBCQkJMqfao7FPGoMxmJCjTUy9IUH799dcBIDMzk87Q2NgoFAqDgoLoFPLrysnJYdYQADQaDVn09vaeO3cucysTJ06kg7Ipm3gypgTlN954AwA+++wzOkWn03l6eorFYpVKRVKGGJQB4Mcff6RTbt26BQAKhcLIZ00vPzQ01NHR0ZQ4ZWJQPnjwIAAcOnSIlc4MyhRFFRYWCgQCiURy584dyiAom9KqAx42Zj8wBhWUyTlyn9vSarXTp09PSEjo6elhpqelpfn4+LS3t5NFI0GZoigej+fn52dKtUdlUMbui0FobGwEAIFAQC6fs7OzraysFi9eTGdwd3efMmXKjRs36urqmB+cNWsW/Tc5jWpoaCCLCxcuLCgoWL16dVFREem1qKysDAsLI2tN38TTcPbsWQBYtGgRnSIUCiMjIzs7O811dSmRSMjlKjFt2jRPT8/S0lLS1EN09erVBw8ezJkzZ+hFEaSnWCAQGM8WHBycmpra0dERHx9PX13RTG9VI4fNsB0YDg4OANDR0cFMJItkFStdqVROnjw5MzPT2tqaTq+trd28eXNGRoZEIjFlo3w+37Ddxg4MyoOQn58PAHPmzBEIBF1dXS0tLXq9XiaTMW8QuHnzJgCQ6zuaTCaj/7axsQEAvV5PFg8dOnT8+PGamprIyEh7e/uFCxeSHy0ADGoTZke2LhKJWD2Abm5uAKBSqcyyFcMftqurKwDcv3/fLOWbl0gkAgB6RMGIlJSUhISE27dvk8Fh2qBatb/DZjgPjMDAQABgBfr6+noAmDhxIjOxp6cnPj5eLpd/+umnzIgMAKSjJiwsjK4qmRK3a9cuslhVVcUqasARyFEMg7Kp9Hr9oUOHAGDt2rUAIBQKHRwc+Hx+d3e34QVIeHi4icWSA/Sbb75pbm7Ozs6mKCo2Nva9994z4yaejFAolMlkOp2ura2NmU7uMnB3dyeLVlZWjx8/ZmZobm5mFcUagmdqamqi/jhrioRjEpqHXr55eXh4AADp9BxQenp6QEBARkYGuVQnTGxV44bzwCClsW5nJYuRkZHMxOTk5K6urqysLHqs1c/Pr6ioCADWrl3LqiSr+8LPz48up7W1laIo0tRjEwZlU23btu2HH35YunQp/Vzt2NjYnp4e1i2nBw4ceOaZZ0yfZeng4EAGuAUCwYIFC8jgOz0fyCybeGJLly4FAObkpK6urry8PLFYrFQqSYqHhwc5byJUKlVtbS2rHFtbWzqwBgQEpKWl0at0Oh25HY746aefGhoaFAoF/ZscYvnmNXXqVDA4beyPnZ3dF198IZFIWHMoTWnVAQ3bgREaGjp58uQzZ87Qk/x6e3tPnz7t5eXF7IHZs2dPWVnZl19+KRQKh7hF8nWTph6jhtYlzTnmHejr7e1Vq9XZ2dkREREA8Je//IW+r4miKLVa7evr6+Pjc+HChebm5qampsOHD9va2jIH0MiITWdnJ52yZcsWYIxuyWSy0NDQ0tJSnU6nVqv37NkDAPv27TN9E08GBjn7orW1lZ4nkJaWRuchl+cffvhhW1tbVVXVsmXL5HI5ayBu4cKFMpmstra2oKCAz+eXl5eTdIVCIZPJIiMjjcy+GEr5Zp99odfrXV1dDQcVWQN9TCdPngSA/mZf9NeqAx42phwYiYmJAFBTUzPgflH9D/RRFFVYWCgSiZYvX97Y2KjVapOTk/l8fm5uLp3hk08+6S+89Nf4Rgb6Tp06BQBnz541pdqjcqAPg/IfsAYieDyeTCabNm3aW2+9dePGDcP8ZMKpj4+PQCAYN25cVFTU5cuXySrWa0l37NhB/fE6fdGiRRRFlZSUJCcnT5o0icxTDg4OPnr0KPNObiObGApTgjJFUVqtdsOGDd7e3gKBQCaTKZXKvLw8Zobm5uakpCQPDw+xWDxv3rzi4uKgoCCyg1u2bCF5KioqQkJCJBKJl5cXc+qCQqGQy+Xl5eVKpVIqlYrF4tDQ0Pz8fHOVHxISYt7ZFxRFbd++nc/n19fXk0WNRsP8TvuckPDWW2+x/osYaVUTDxvKhAMjIiLCzs6ONQuCpc9nUDAn5xE3b96Mjo62t7e3s7OLiIhgfUfMU+YBg3JycjIrj1KpZGYgHdOPHz82Um0aBuURYFR+SU+DiUH5qSJB2bJ1IEwPys3NzXK5nPXsCw56+PChWCw2nCzMceTZF8z5gsaNyt879ikjNAgymSwnJ+fMmTNk1JebKIpKSUmxt7ffu3evpesyCDU1NbGxsdu2bVu+fLml62JJGJQRGpwZM2Zcv3794sWLra2tlq5L39RqdU1NTV5enonTOTjiyJEj+/fv379/v6UrYmEYlJEFkGdWlJaW1tfX83i8nTt3WrpGgzNhwoRz587Z29tbuiJ9c3d3z8/PnzJliqUrMjgHDhwY4+fIxFN8egtC/dm0aRN5ygdCiAXPlBFCiEMwKCOEEIdgUEYIIQ7BoIwQQhwyCgf6ioqK6MdTICPef/998oaIUYD1GKPBIo+zwMNmxCkqKgoODrZ0LcxstAVlMz48d3QjD00fNWpqamAIQXn8+PGjrEHGiODg4NH3k+dRBq+bRWjEWbZsGQBkZWVZuiIIDRX2KSOEEIdgUEYIIQ7BoIwQQhyCQRkhhDgEgzJCCHEIBmWEEOIQDMoIIcQhGJQRQohDMCgjhBCHYFBGCCEOwaCMEEIcgkEZIYQ4BIMyQghxCAZlhBDiEAzKCCHEIRiUEUKIQzAoI4QQh2BQRgghDsGgjBBCHIJBGSGEOASDMkIIcQgGZYQQ4hAMygghxCEYlBFCiEMwKCOEEIdgUEYIIQ7BoIwQQhyCQRkhhDgEgzJCCHEIBmWEEOIQDMoIIcQhfEtXAKEn8f3335eWltKLNTU1AJCWlkanKBSK2bNnW6BmCA0Nj6IoS9cBoUE7d+7ciy++aG1tbWVlBQB6vR4A6L97e3tzcnIWL15s4VoiNHgYlNGI1N3d7eLi0tra2udae3t7jUZjY2MzzLVCaOiwTxmNSAKBYPny5X2GXSOrEOI+DMpopFqxYsXjx48N07u7u//85z8Pf30QMgvsvkAjlV6v9/T0VKvVrPRx48apVCrSv4zQiIMHLhqprKysXnnlFVY3hY2Nzeuvv44RGY1ceOyiEcywB+Px48crVqywVH0QGjrsvkAjm5+fX3V1Nb3o7e1N5iwjNELhmTIa2V555RWBQED+Jn0Xlq0PQkOEZ8poZKuqqvL396cXKysrJ06caMH6IDREeKaMRjY/P7/nnnuOx+PxeLznnnsOIzIa6TAooxHvtddes7a2tra2fu211yxdF4SGCrsv0IjX0NDg5eVFUdS9e/fkcrmlq4PQkOBT4tCI5+npOXfuXADAiIxGgVEVlOvq6goKCixdC2QBkyZN4vF4WVlZlq4IsoC5c+eOHz/e0rUwH2oU+fzzzy3dnAih4fb5559bOvaY06g6UyYo7CU3QVZWVkJCArYVLT4+HgD+85//WLoiaHB4PJ6lq2BmOPsCIYQ4BIMyQghxCAZlhBDiEAzKCCHEIRiUEUKIQzAoAwCcPn2aPDxBJBJZui5oZPjtt99iYmJaW1u1Wi3vdzNmzNDpdMxszLU8Hm/mzJmWqrBxFy5cmDhxIp/f73SskpKSRYsWOTg4SKXS+fPnX7t2jbn24cOHhw8fjoiIcHJyEovF/v7+iYmJpaWlRrYYExPD4/H27dvHTNy6dStObMWgDACwfPlyiqIiIyMtXZERoL293d/ff/HixZauiCWVlJTMnDkzKirK3t7excWFoqji4mKSvmHDBmZOsrawsNDZ2ZmiqOvXr1uoyv2qrq6OiYnZtm2b4Yu1aN9///3cuXOlUumdO3d++eUXHx+fsLCwS5cu0Rk2b968fv36JUuWlJeXNzU1ZWRklJSUBAUFZWdn91ng8ePHc3JyDNNXrVq1bdu2Xbt2DX2/Ri4MyiOenZ3dvHnzhm1zFEXp9Xq9Xj9sW2QZ5v011Nra+uKLL7788svr1q1jpguFQmdn5yNHjnz22WeWqtsT2LVr19y5c2/cuCGVSvvMoNfrV65c6eDg8Mknn3h4eLi4uPzf//2fr69vUlJSV1cXne0vf/nL//zP/7i7u9va2oaEhJw6daq3t/fvf/+7YYENDQ0bNmx49dVXDVf5+vqePXt2//79Y/nmTAzKaHCkUml1dfWFCxcsXRGLOXjwoEql2r17NytdJBJlZmZaWVklJyf//PPPFqnbEzh27NjWrVuNdFx89913ZWVlcXFxYrGYpFhbW69YseLevXvnzp0jKenp6UeOHGF+SqFQiMXi6upqwxuUVq1aFR8fHxUV1efmFApFXFzcxo0be3p6nnyvRjIMyggNAkVR6enps2fP9vT0NFyrVCp37tzZ1tYWHx/P6lzmLDrU9ufbb78FAFZvOFnMy8vr71MdHR2dnZ1Tp05l3XGXkZFRVlaWmppqZItLly6tq6s7f/78gJUflcZuUK6oqHjppZdkMplEIgkJCcnPz2euzc7OpgdnKisrly1b5uzsTBa1Wi0ANDU1/e1vf/P19bWxsXF0dIyOjr5y5Qr5bGpqKsk5fvz44uLiyMhIqVRqa2sbHh7OGh4xUsi+fftIIfSlem5uLklxcXFhbqijo+PatWtklZHzHbNgNgsJOsyUX3/9NSEhwcHBwdnZefHixfSr80xpEG7ur6HS0lK1Wq1QKPrL8M4770RFRd26dWv9+vVGyjHy1ZvSpIRGo0lJSZkwYYKNjc24ceNiY2NLSkrMsptMFRUVAMB64g95IJ+RCwJyw/qOHTuYiXV1dRs3bszIyOivq4SYPn06AHz99ddDqPVIZrGnbjwFZNzWlJx37951cHCQy+WXLl1qa2u7detWVFTUhAkThEIhM9uSJUsAIDQ09MqVKx0dHUVFRdbW1hqNprGx0dvb283NLScnp6WlpbKyMjY2lsfjHT16lP6sQqGQSCRz5swpKChob28vLi5+7rnnbGxsrl69SjKYUohEIvnTn/7ErFJQUBAZMjKSx7xtZYg0S2dnJytlyZIlZGcvX74sFotnzZrF/NSADdLnvpi+v+Hh4U5OToWFhU+2U3FxcXFxcQNmO3HiBAC8++67rPTi4mKZTEb+1mg0Xl5eAHDy5EmSQg/0EaZ89QM2aUNDw7PPPuvm5nb+/Pm2trbbt2+HhoaKRKKCgoInawG5XG5tbW2YvmDBAgAoKipiJt69excAnn/++T6LUqlUbm5uSUlJrHSlUrlmzRryN2nJvXv3Gn68paUFAEJCQkypNoy6BxKN0aBMnj5z5swZOqW+vl4oFPYZlC9cuMD6+BtvvAEAn332GZ2i0+k8PT3FYrFKpSIp5GTqxx9/pPPcunULABQKhemFjKygnJOTQ6fExcUBgEajoVMGbBBqaPsbGhrq6Oj4xCHJxKB88OBBADh06BArnRmUKYoqLCwUCAQSieTOnTuUQVA25asfsEnJK2IzMzPpDI2NjUKhMCgoyPS9ZhpUUCbnyH1uS6vVTp8+PSEhoaenh5melpbm4+PT3t5OFo0EZYqieDyen5+fKdUefUF5jHZf5ObmAoBSqaRTPD09+3u92wsvvMBKOXv2LAAsWrSIThEKhZGRkZ2dncxrLolEQi7EiGnTpnl6epaWljY2NppeyAgya9Ys+m9yqtjQ0MDMYLxBhujq1asPHjyYM2fO0IsygnTa0O/P7k9wcHBqampHR0d8fHxnZydrrelfvZEmzc7OtrKyYs5NdHd3nzJlyo0bN+rq6p5g1/rj4OAAAB0dHcxEskhWsdKVSuXkyZMzMzOtra3p9Nra2s2bN2dkZEgkElM2yufzDdttjBiLQbmrq6utrU0kEtnZ2THTXV1d+8zPOoy6urpaWlpEIhGrX8zNzQ0AVCoVnWJ4yJJN3L9/3/RCRhCZTEb/bWNjAwCsmXNGGuTp1848yO1F3d3dA+ZMSUlJSEi4ffs2a+bcoL76/pqUFKLX62UyGfPmlJs3bwIA6Vswl8DAQABgBfr6+noAYJ3H9PT0xMfHy+XyTz/9lBmRAYB01ISFhdFVJVPidu3aRRarqqpYRQ04AjlajcWgLBQKpVKpTqdrb29npj948MDEj8tkMp1O19bWxkwnc+/d3d3plKamJuqP84FI9HF1dTWxECsrq8ePHzMzNDc3s+ozgp4na6RByCL399fDwwMASKfngNLT0wMCAjIyMsilOmH68WOEUCh0cHDg8/nd3d2G17/h4eGD2KWBkNJu3LjBTCSLrPutkpOTu7q6srKy6AFYPz+/oqIiAFi7di2rkqzuCz8/P7qc1tZWiqJIU49BYzEoA0B0dDT83olBaLXayspKEz++dOlSAGBO2enq6srLyxOLxcwuEZ1OR270In766aeGhgaFQkGONlMK8fDwIKckhEqlqq2tZVXG1taWDmQBAQFpaWkm7sXwM94gMBL2d+rUqWBw2tgfOzu7L774QiKRfPzxx8x0E48f42JjY3t6eljzeQ4cOPDMM8+Yd4ZvaGjo5MmTz5w5Q0/y6+3tPX36tJeXF7MHZs+ePWVlZV9++aVQKBziFskxQJp6LHq6XdbDy/TBq6qqKicnJ3r2RVlZmVKpJCewzGyGI1oEc/S8tbWVHj1PS0uj8ygUCplMFhkZacrsi/4KIVe+H374YVtbW1VV1bJly+RyOWvga+HChTKZrLa2tqCggM/nl5eXm7etDPU30MdM2bJlC/xxWG/ABhni/g7P7Au9Xu/q6mo40sga6GM6efIkAPQ3+6K/r37AJlWr1b6+vj4+PhcuXGhubm5qajp8+LCtrS1z1CsxMREAampqTGiAfgf6KIoqLCwUiUTLly9vbGzUarXJycl8Pj83N5fO8Mknn/QXYfr7RowM9J06dQoAzp49a0q1YdQN9I3RoExRVGVl5UsvvWRvb09mGp07d46+Flu5cmVhYaHx/15arXbDhg3e3t4CgUAmkymVyry8PGYGhUIhl8vLy8uVSqVUKhWLxaGhofn5/4+9e49q4sofAH4HSEIIJLyfUnn5qK/golUUfgi0RFeFQkFs0T4sllULpatWqY+6VdrV46nd06UrSmmr4qv2SMVXtayePQh0IxqoIqjQ1vIIAvKW8JzfH3d3djpAGEhgJvD9/EXu3Nz55mbyZXLvzUzOkBppbGyMjY11cnISi8V+fn5KpdLHxwfHs2XLFlynpKTE399fIpG4urr2XRWgl76i4BkqSkxMDKOjtm3bRv5+gGLp0qXsO0SX1+vv7z8Kqy9Iknz//fdNTEwqKyvxw9raWvrr7XdBwrp16xj/WrS89ey7FC929vDwEAgEdnZ2ISEhV69epe8lKCjI3NycsQqCod9rUNAX52G3bt1asmSJVCo1NzcPCgpivHH0U+ZBk3JcXByjjkKhoFfAA9OdnZ1awqYgSMp8psvZn97hHMR1FAMa/b7ieYewT8qNjY0uLi5xcXEjHZKOGhoaxGJx38XCPKdSqQiCoK8X1G7sJeVxOqYMwLDJZLKsrKwzZ86kpKRwHcuASJJMSEiQSqW7d+/mOpYhKC8vj4iISEpKWrlyJdexgRe0CQAAIABJREFUcAaSMgBDNnv27Js3b166dKm5uZnrWPpXU1NTXl6enZ3NcjkHT6SmpiYnJycnJ3MdCJcgKesfvkRDYWFhZWUlQRDbt2/nOiKOjckOcXNzO3/+vFQq5TqQ/jk6Oubk5EyfPp3rQIZm79694/kcGRvt67mMB5s2bdq0aRPXUfAIdAgA7MGZMgAA8AgkZQAA4BFIygAAwCOQlAEAgEfG4EQfvlYy0A5fvQH6ioKvmwMdAjgHZ8oAAMAjY/BMGd8cDGh3+vTp6Oho6CsKPkeGDjE4BnTpWpbgTBkAAHgEkjIAAPAIJGUAAOARSMoAAMAj4zEpm5ub0+81aWRkZGVlJZfL169fz7gRGQAD+fXXX0NDQ5ubm+vq6qhjafbs2dQ9kzD6VoIg5syZw1XA2l28eHHy5MnUvfX6UqlUS5cutbS0tLCweP755xm3oWpoaDh48GBQUJC1tbVYLJ40aVJMTExhYaGWPYaGhhIEsWfPHnrh1q1b8ZW+x7PxmJRbW1tv376NEAoLCyNJsqurq6Sk5MMPPywpKZkzZ84bb7zx9OlTrmMEvKZSqebMmRMSEiKVSm1tbUmSxPceVKlUiYmJ9Jp4a15eHr7zyM2bNzkKeUBlZWWhoaFJSUn4zq39+vHHHxcsWGBhYXHv3r2ff/7Zw8Nj0aJFV65coSps3rw5Pj4+LCysuLi4vr4+PT1dpVL5+PhkZmb22+CRI0f6vePJ2rVrk5KSduzYofvrMmCcXmJfz9jfTYOelOnee+89hFBoaGhvb+8IBDiCJBJJ3xvHaTHKdx4Zanij3z77O480NTVNmDCBcecRpVIpEolsbGwQQsePH2c8hUrKPPTyyy9//PHHXV1dA92jr6enZ/r06U5OTk+fPsUl3d3dU6ZMcXV11Wg0uOTNN99866236M9SqVQIoUmTJvVtsLKy0srKavXq1ai/e/ThO4+wv5kIgjuPjG1//etf582bd+7cuZMnT3IdC+Cpffv2qdXqnTt3MspNTU0zMjKMjIzi4uLu37/PSWzD8MUXX2zdulXLwMW//vWvu3fvRkZGisViXGJsbPzyyy//9ttv58+fxyVpaWmpqan0Z8nlcrFYXFZWRv7+BoMIobVr10ZFRYWEhPS7O7lcHhkZuXHjRv3ek9uAQFL+HYIg8A2VGfeEBwAjSTItLW3evHnOzs59tyoUiu3bt7e0tERFRTEGl3mLSrUD+ec//4kQYoyG44fZ2dkDPautra29vX3GjBmMH3ekp6ffvXt3//79WvYYHh5eUVFx4cKFQYMfkyApM/n5+SGE8vPzu7q6MjMzqSma0tLSFStW2NjY4Id1dXUIIXw7YU9PT6FQaGVltWTJkmvXruF28O02CIKYMGGCUqkMDg62sLAwMzMLDAxkTJJoaWTPnj24ERwVQujy5cu4xNbWlr6jtra2Gzdu4E1aznqGYYTCY9M/fHj5DIWFhTU1NXK5fKAKH3zwQUhISFFRUXx8vJZ2tPQq/aj75ZdfoqOjLS0tbWxsli1bVlZWRm+ktrY2ISHBzc1NKBTa2dlFRETgQQP9KikpQQhNmDCBXuji4oIQ0vKFAP82ctu2bfTCioqKjRs3pqenW1hYaNmjt7c3Quj777/XIWpDxvX4iT7pPqZMkmR7ezvumaqqKlwSFhaGEAoICLh27VpbW1t+fr6xsXFtbW11dbW7u7uDg0NWVlZTU1NpaWlERARBEPTbs8vlcolE4uvrm5ub29raqlQqZ82aJRQKr1+/jiuwaaTvgKmPjw9jjHKExpRHOrxB+0fH9gMDA62trfve5b4vlmPKR48eRQh99NFHjHKlUimTyfDftbW1rq6uCKFjx47hEsaYMptexUddWFgY7pmrV6+KxeK5c+dSFaqqqiZOnOjg4HDhwoWWlpY7d+4EBASYmprm5uYO+ir6NdCY8gsvvIAQys/Ppxc+ePAAIfSHP/yh36bUarWDg0PfG2krFIr169fjv3FP9h1TJkmyqakJIeTv788mbDTmxpQhKTNRSy8YSfnixYuMmq+//jpCiH4vdI1G4+zsLBaL1Wo1LsGnVLdv36bqFBUVIYTkcjn7RjhMyiMd3qD9o2P7AQEBVlZWbPIUy6S8b98+hFBKSgqjnJ6USZLMy8sTCAQSieTevXtkn6TMplfxUZeVlUWPECFUW1uLH7722msIoYyMDKpCdXW1SCTy8fEZ9FX0a0hJGZ8j97uvuro6b2/v6Ojo7u5uevmhQ4c8PDxaW1vxQy1JmSRJgiC8vLzYhD32kjIMXzBVV1cjhAQCAfUFGXvuuecYNc+ePYsQWrp0KVUiEomCg4Pb29vp37wkEgn+OobNnDnT2dm5sLAQ74hlI1wZhfC094+Orl+//uTJE19fX92bwvBIsUAg0F5t/vz5+/fvb2tri4qKor57Udj36ty5c6m/8dl3VVUVfpiZmWlkZLRs2TKqgqOj4/Tp0wsKCvB1WfXF0tISIdTW1kYvxA/xJka5QqGYNm1aRkaGsbExVf7o0aPNmzenp6dLJBI2OzUxMenbb+MEJGWmnJwchJCvry/jg8c4mDo6OpqamkxNTRmjYw4ODgghtVpNlfQ9cO3t7RFCjx8/Zt8IJ0YnPC39o5f29cvU1BQh1NXVNWjNhISE6OjoO3fu4KljypB6VSaTUX8LhUKEUG9vL9VIb2+vTCaj/zjl1q1bCCE8tqAvU6dORf+9ADelsrISITR58mR6YXd3d1RUlIuLy9dff03PyAghPFCzaNEiKlS8JG7Hjh344cOHDxlNDToDOVZBUv6d3t7elJQUhNCGDRu01xSJRDKZTKPRtLS00MvxCnxHR0eqpL6+nvz9qiCcbuzt7Vk2YmRk1NnZSa/Q2NjIiGckLmA4OuFp6R+9tK9fTk5OCCE86DmotLS0KVOmpKen46/qGPsjRwuRSGRpaWliYtLV1dX3+29gYOAQXtJgcGuMH7vih8HBwfTCuLi4jo6O06dPU3OtXl5e+O4BGzZsYATJGL7w8vKi2mlubiZJEnf1OARJ+XeSkpL+/e9/h4eHs7kDRXh4OEKIvnCno6MjOztbLBYrFAqqUKPR4J97YT/99FNVVZVcLsfHHJtGnJyc8IkJplarHz16xAjGzMyMylxTpkw5dOgQ29es82vUMTzt/aN7+/o1Y8YM1Oe0cSDm5ubffvutRCJhrLBkeeRoFxER0d3dzVjJs3fv3meeeUa/K3wDAgKmTZt25swZapFfT0/PyZMnXV1d6SMwu3btunv37nfffScSiXTcI367cVePRyM7ZD26hjfR19PTU1NTk5mZGRQUhBBas2YN9cslDE+5tLe3Mxqhz6E3NzdTc+iHDh2i6sjlcplMFhwczGb1xUCN4O+/n332WUtLy8OHD1esWOHi4sKY6Vq8eLFMJnv06FFubq6JiUlxcbFe+mqkwxu0f3RsX++rL3p7e+3t7ftOKjIm+uiOHTuGEBpo9cVAvdr3qNuyZQuiTYrW1NR4enp6eHhcvHixsbGxvr7+4MGDZmZm9FmvmJgYhFB5efmgr4sceKKPJMm8vDxTU9OVK1dWV1fX1dXFxcWZmJhcvnyZqvDll18OlGEG6nwtE33Hjx9HCJ09e5ZN2GjMTfSNx6TMGB0mCEImk82cOXPdunUFBQX0mnl5edr/h9XV1SUmJrq7uwsEAplMplAosrOz6RXkcrmLi0txcbFCobCwsBCLxQEBATk5OUNqpLGxMTY21snJSSwW+/n5KZVKHx8fHM+WLVtwnZKSEn9/f4lE4urq2ndtwLD7aqTDY9M/urTv7++v39UXJEm+//77JiYmlZWV+GFtbS39COl3QcK6desY/0W09CrjqNu2bRv5++GdpUuX4pp4sbOHh4dAILCzswsJCbl69Sp9L0FBQebm5oxVEAz9XoOCvjgPu3Xr1pIlS6RSqbm5eVBQEOM9op8yD5qU4+LiGHUUCgW9Ah6Y7uzs1BI2BZIyr43y9RzYwEmH6yj6wZO+4k//sE/KjY2NLi4ujGtf8FBDQ4NYLO67WJjn8LUv6OsFtRt7SRnGlAEYGplMlpWVdebMGTwnzE8kSSYkJEil0t27d3MdyxCUl5dHREQkJSWtXLmS61g4A0kZgCGbPXv2zZs3L1261NzczHUs/aupqSkvL8/Ozma5nIMnUlNTk5OTk5OTuQ6ES5CURwq+JkNhYWFlZSVBENu3b+c6In4x9P5xc3M7f/68VCrlOpD+OTo65uTkTJ8+netAhmbv3r3j+RwZG8FLt4xzmzZt2rRpE9dR8Bf0DwD9gjNlAADgEUjKAADAI5CUAQCARyApAwAAj0BSBgAAHhmDqy9G7YJhYwD0FQN0COAcQfa516zhqqioyM3N5ToKwIEDBw4ghN59912uAwEcWLBgAeMWggZtTCVlMG6tWLECIXT69GmuAwFAVzCmDAAAPAJJGQAAeASSMgAA8AgkZQAA4BFIygAAwCOQlAEAgEcgKQMAAI9AUgYAAB6BpAwAADwCSRkAAHgEkjIAAPAIJGUAAOARSMoAAMAjkJQBAIBHICkDAACPQFIGAAAegaQMAAA8AkkZAAB4BJIyAADwCCRlAADgEUjKAADAI5CUAQCARyApAwAAj0BSBgAAHoGkDAAAPAJJGQAAeASSMgAA8AgkZQAA4BFIygAAwCOQlAEAgEcgKQMAAI8QJElyHQMAQ5aRkfHFF1/09vbih8XFxQihadOm4YdGRkZvvvlmTEwMZ/EBMFyQlIFBKiws9Pb21lJBpVLJ5fJRiwcAfYGkDAzV1KlTS0tL+93k5eX14MGDUY4HAL2AMWVgqFavXi0QCPqWCwSCN954Y/TjAUAv4EwZGKry8nIvL69+D+AHDx54eXmNfkgA6A7OlIGh8vDwmD17NkEQ9EKCIHx8fCAjA8MFSRkYsFdffdXY2JheYmxs/Oqrr3IVDwC6g+ELYMAeP37s5ORELYxDCBkZGVVWVjo6OnIYFQC6gDNlYMDs7e3/7//+jzpZNjY2DggIgIwMDBokZWDYVq9ereUhAAYHhi+AYWtubra1te3q6kIICQSCx48fW1pach0UAMMHZ8rAsEml0iVLlpiYmJiYmPzxj3+EjAwMHSRlYPBWrVrV09PT09MDF7sAYwAMXwCDp9FobG1te3t76+vrxWIx1+EAoBMTrgMAQFempqYREREIIcjIYAwYa2fKn3zySV5eHtdRgNGmVqsJgnBwcOA6EDDafH19//znP3MdhT6NtTHlvLy8/Px8rqMwAGfOnKmoqOA6Cr1xcHCwt7cf9tMrKirOnDmjx3jA6MjPzx97J2FjcPhi/vz533zzDddR8B1BEO++++6KFSu4DoQXTp8+HR0dDYeNwYmKiuI6BP0ba2fKAABg0CApAwAAj0BSBgAAHoGkDAAAPAJJGSGETp48SRAEQRCmpqZcx8JWQ0PDwYMHg4KCrK2txWLxpEmTYmJiCgsLuY5rXPj1119DQ0Obm5vr6uqI/5o9e7ZGo6FXo28lCGLOnDlcBazdxYsXJ0+ebGIy4LS/SqVaunSppaWlhYXF888/f+PGDfrWYRyKoaGhBEHs2bOHXrh169ZTp07p+FrGAEjKCCG0cuVKkiSDg4O5DmQINm/eHB8fHxYWVlxcXF9fn56erlKpfHx8MjMzR26nra2tkyZNWrZs2cjtgv9UKtWcOXNCQkKkUqmtrS1JkkqlEpcnJibSa+KteXl5NjY2JEnevHmTo5AHVFZWFhoampSUVFNTM1CdH3/8ccGCBRYWFvfu3fv55589PDwWLVp05coVqsJQD8UjR45kZWX1LV+7dm1SUtKOHTt0f10GDZKyAVuzZs0777zj6OhoZmbm7+9//Pjxnp6e9957b+T2SJJkb28v/aLyo8zc3NzPz4+rvSOEmpubly9f/tJLL7399tv0cpFIZGNjk5qaeuLECa5iG4YdO3YsWLCgoKDAwsKi3wq9vb1vvvmmpaXll19+6eTkZGtr+49//MPT0zM2Nrajo4Oqxv5QrKqqSkxM7PcKq56enmfPnk1OTj59+rS+XqAhgqRsqNLS0lJTU+klcrlcLBaXlZWN3K80LSwsysrKLl68OELt89++ffvUavXOnTsZ5aamphkZGUZGRnFxcffv3+cktmH44osvtm7dqmXg4l//+tfdu3cjIyOpn7AbGxu//PLLv/322/nz53HJkA7FtWvXRkVFhYSE9Ls7uVweGRm5cePG7u7u4b8qAwdJeexoa2trb2+fMWMG416iQF9IkkxLS5s3b56zs3PfrQqFYvv27S0tLVFRUYzBZd4a9Goh//znPxFCjNFw/DA7O3ugZw10KKanp9+9e3f//v1a9hgeHl5RUXHhwoVBgx+rxm9SLikpefHFF2UymUQi8ff3z8nJ6VuntrY2ISHBzc1NKBTa2dlFRESoVCq8KTMzk5rA+eWXX6Kjoy0tLW1sbJYtW1ZWVka10NHRsXPnzqlTp5qZmVlbWy9fvvzcuXM9PT1sdjFU+Adp27ZtG97TB0V/yTjpsOmE/fv34woTJkxQKpXBwcEWFhZmZmaBgYHUfNGePXtwHWpo4vLly7jE1taW3k5bW9uNGzfwJi3ndyOksLCwpqZGLpcPVOGDDz4ICQkpKiqKj4/X0k59ff2f//xnT09PoVBoZWW1ZMmSa9eu4U0sjyuk1yNHi5KSEoTQhAkT6IUuLi4IIS1fCPo9FCsqKjZu3Jienj7QUAnm7e2NEPr+++91iNrAkWNLZGRkZGTkoNUePHhgaWnp4uJy5cqVlpaWoqKikJAQNzc3kUhE1amqqpo4caKDg8OFCxdaWlru3LkTEBBgamqam5tL1QkLC0MIhYWF5ebmtra2Xr16VSwWz507l6oQGxsrk8muXLny9OlTtVq9adMmhNC1a9fY74IltVrt4OAQGxvLsj5C6NSpU0PdC/nfl9ze3s4o0dIJJEnK5XKJROLr64vrKJXKWbNmCYXC69evU3UkEsnChQvpz/Lx8cFTZFrqYIGBgdbW1nl5ecN4RSRJ4kn/QasdPXoUIfTRRx8xypVKpUwmw3/X1ta6uroihI4dO4ZLqIk+rLq62t3d3cHBISsrq6mpqbS0NCIigiCIw4cPU3UG7VI9HjmYi4uLsbFx3/IXXngBIZSfn08vfPDgAULoD3/4Q79NDXQoKhSK9evX479xT+7evbvv05uamhBC/v7+bMJm+Xk3LOM0KeOfzJ85c4YqqaysFIlE9KT82muvIYQyMjKokurqapFI5OPjQ5XgD09WVhY9AIRQbW0tfuju7r5gwQL6ridPnkwlZTa7YKOurs7b2zs6Orq7u5vlU/SelLV0AkmS+Ozy9u3bVElRURFCSC6XUyW6JOWAgAArK6thpySWSXnfvn0IoZSUFEY5PSmTJJmXlycQCCQSyb1798g+Sfn1119HCJ04cYIq0Wg0zs7OYrFYrVbjkkG7VF9HDmVISRmfI/e7r4EOxUOHDnl4eLS2tuKHWpIySZIEQXh5ebEJe0wm5XE6fHH58mWEkEKhoEqcnZ0nT55Mr5OZmWlkZERf/uXo6Dh9+vSCggLG9dXmzp1L/Y3PkqqqqvDDxYsX5+bmvvXWW/n5+XjUorS0dNGiRUPdhRZtbW0KhWLatGkZGRnUfZ1Hn5ZOwCQSCf5mis2cOdPZ2bmwsLC6ulr3vV+/fv3Jkye+vr66N6UFHrQRCATaq82fP3///v1tbW1RUVHt7e2MrWfPnkUILV26lCoRiUTBwcHt7e2M7+xaulQvRw4b+PZabW1t9EL8sO+dtwY6FB89erR58+b09HSJRMJmpyYmJn37bfwYj0m5o6OjpaXF1NTU3NycXk6/9mNHR0dTU1Nvb69MJqOv/7916xZCCH99o8hkMupvoVCIEKIWjaWkpBw5cqS8vDw4OFgqlS5evBh/Joe6i4F0d3dHRUW5uLh8/fXXHGZkpLUTsL6fYdzhjx8/Hvno9AP/tgjfpFW7hISE6OjoO3fuMFbO4Tfd1NSUMa6KrwStVqvphQN1qV6OHJamTp2KEGIk+srKSoQQ4yRGy6GIB2oWLVpEhYqXxO3YsQM/fPjwIaOp8Xy/gvGYlEUikYWFhUajaW1tpZc/efKEXsfS0tLExKSrq6vv94vAwECW+8LH3w8//NDY2JiZmUmSZERExCeffKKvXcTFxXV0dJw+fZqa9fLy8uLnFaXr6+vJ3y+QwumY+l9oZGTU2dlJr9DY2MhohNuFJU5OTgghPOg5qLS0tClTpqSnp+Ov6phIJJLJZBqNpqWlhV4Z/3bD0dGRTcv6OjjZwK0VFBTQC/FDxo+ttByKGzZsYATJGL7w8vKi2mlubiZJEnf1+DQekzJCaMmSJei/gxhYXV1daWkpvU5ERER3dzfjF6V79+595pln2C+itLS0xPPXAoHghRdewHPr1HIfHXexa9euu3fvfvfddyKRiGU8HNJoNPiXb9hPP/1UVVUll8upj5+TkxM+BcPUavWjR48YjZiZmVGJe8qUKYcOHRrhqH9nxowZqM9p40DMzc2//fZbiUTy+eef08vDw8MRQvQlXx0dHdnZ2WKxmD6epp1eDk42AgICpk2bdubMGWqRX09Pz8mTJ11dXekjMHo8FPExgLt6fBqnSfmjjz6ytrZOTEy8evVqa2trcXHxqlWrGKMZH3/8saen55o1ay5dutTU1PTkyZPU1NQPP/xw//79Q1qM9ac//amoqKijo+Px48f79u0jSTIoKEj3XXz11Vd/+ctffvzxRwsLC/p3WMbCKf6QyWTvv/9+Xl5eW1vbzZs3V61aJRQK//a3v1EVQkJCqqqq/v73v7e2tpaVlb3zzjt9bybyhz/84f79+7/99lteXl55ebm/vz8uDwoKsrGxGemvCHK53N7env0FRqZPn874VQVC6OOPP3Z3d09MTDx//nxLS8v9+/dfeeWV6urqv/3tb+xvZ8XmyFm1ahVBED///DPLNvtlZGT0xRdfPHny5I033lCr1fX19Rs2bHjw4MHhw4epC8Xo91DEC/sG+nXJuKDTNCH/sJ+NLS0tffHFF6VSKV5sdP78eerr2Jtvvonr4PWkHh4eAoHAzs4uJCTk6tWreBPjJjTbtm0jf//dfOnSpSRJqlSquLi4Z599Fq9Tnj9//uHDh3t7e6kwtOxCO/p5CgOblWFo6KsvqNFwLCYmhmUnkCQpl8tdXFyKi4sVCoWFhYVYLA4ICMjJyaG339jYGBsb6+TkJBaL/fz8lEqlj48PbmfLli24TklJib+/v0QicXV1pa+C8Pf3H4XVFyRJvv/++yYmJpWVlfhhbW0t/fX2uyBh3bp1jDUkdXV1iYmJ7u7uAoFAJpMpFIrs7Gy8iX2XDnrkBAUFmZuba1+Q0+81KOiL87Bbt24tWbJEKpWam5sHBQUx3rghHYpxcXGMOgqFgl4BD0x3dnZqCZsyJldfjN+kPM4NIynrAiflUdvdULFPyo2NjS4uLnFxcSMdko4aGhrEYjH7des8oVKpCIKgrxfUbkx+3sfp8AUAwyOTybKyss6cOZOSksJ1LAMiSTIhIUEqle7evZvrWIagvLw8IiIiKSlp5cqVXMfCJUjKAAzN7Nmzb968eenSpebmZq5j6V9NTU15eXl2djbL5Rw8kZqampycnJyczHUgHIOkzF/EwHbt2sV1dGzha1YUFhZWVlYSBLF9+3auI9IDNze38+fPS6VSrgPpn6OjY05OzvTp07kOZGj27t07zs+RsdG+pAtgjxyxK3COpk2bNuErfgAA2IAzZQAA4BFIygAAwCOQlAEAgEcgKQMAAI9AUgYAAD7h+tcreoavBQ4AGCfG3i/6xuCSuPnz57/77rtcR8F30dHRiYmJI31VeEORl5f36aef4h9bAwNy4MABrkPQvzGYlCdMmLBixQquo+C76OhoX19f6CjKp59+Cr1hcPAdWscYGFMGAAAegaQMAAA8AkkZAAB4BJIyAADwCCTl3zE3N6dfjM3IyMjKykoul69fv55x70gA6H799dfQ0NDm5ua6ujrq+Jk9ezZ1azuMvpUgiDlz5nAV8ED8/Pz6XpUwMTGxb82LFy9Onjy53/uWNTQ0HDx4MCgoyNraWiwWT5o0KSYmhnEbra1bt8Jyl35BUv6d1tbW27dvI4TCwsJIkuzq6iopKfnwww9LSkrmzJnzxhtvPH36lOsYAe+oVKo5c+aEhIRIpVJbW1uSJPEtYlUqFSOd4a15eXn4BlE3b97kKGSdlJWVhYaGJiUl4Ztw97V58+b4+PiwsLDi4uL6+vr09HSVSuXj45OZmUnVWbt2bVJS0o4dO0YraoMBSVkbY2NjBweHsLCwf/7zn++9995XX3318ssvk2Piipqjydzc3M/Pz3Db1665uXn58uUvvfTS22+/TS8XiUQ2NjapqaknTpzgKrbhUSqVjJ8zfPrpp/QKO3bsWLBgQUFBgYWFxUCNrFmz5p133nF0dDQzM/P39z9+/HhPT897771HVfD09Dx79mxycvLp06dH8MUYIEjKbP31r3+dN2/euXPnTp48yXUsgEf27dunVqt37tzJKDc1Nc3IyDAyMoqLi7t//z4nsY2QL774YuvWrVpuuJ6Wlsa4jbdcLheLxWVlZfRzGrlcHhkZuXHjxu7u7hEM19BAUmaLIAh8KvT5559zHQvgC5Ik09LS5s2b5+zs3HerQqHYvn17S0tLVFQUY3DZoInF4qE+pa2trb29fcaMGQRB0MvDw8MrKiouXLigv+gMHiTlIcDfkfPz87u6unBJbW1tQkKCm5ubUCi0s7OLiIhQqVR4U2ZmJjVP8ssvv0RHR1taWtrY2CxbtqysrIxqs6OjY+fOnVOnTjUzM7O2tl6+fPm5c+d6enqoClp2MQrwfew9PT2FQqGVldWSJUuuXbuGN+3Zswe/Omro4PLly7jE1tYWl+B7QbW1td24cQNvwqdXuJwgiAkTJiiVyuDgYAsLCzPRpc0lAAAgAElEQVQzs8DAwBs3buje/qgpLCysqamRy+UDVfjggw9CQkKKiori4+O1tKOln1keSEh/h8rRo0e9vb0lEolMJsMjD8NohAH/9G7btm2Mcm9vb4TQ999/r/suxo7RvdTGiNP9luP0iT6G9vZ23GlVVVUkSVZVVU2cONHBweHChQstLS137twJCAgwNTXNzc2lnhIWFoZby83NbW1tvXr1qlgsnjt3LlUhNjZWJpNduXLl6dOnarUa3znp2rVreCubXQwPQujUqVPa61RXV7u7uzs4OGRlZTU1NZWWlkZERBAEcfjwYaqORCJZuHAh/Vk+Pj54FktLHUwul0skEl9fX9w5SqVy1qxZQqHw+vXremk/MDDQ2to6Ly9P+8skSRIvAxi0Wl9Hjx5FCH300UeMcqVSKZPJ8N+1tbWurq4IoWPHjuESaqIPY9PPgx5I+jpUFi5cuHr16oKCgtbW1pKSktWrVyOE4uPj+63s4uJibGw8aJtqtdrBwSE2NrbvpqamJoSQv7//kIKk6P555yFIykxakjK19AIn5ddeew0hlJGRQVWorq4WiUQ+Pj5UCf4sZWVl0SNECNXW1uKH7u7uCxYsoO9l8uTJVFJms4vhYZOUX3/9dYTQiRMnqBKNRuPs7CwWi9VqNS7RMSkjhG7fvk2VFBUVIYTkcrmW57JvPyAgwMrKik1WGnZS3rdvH0IoJSWFUU5PyiRJ5uXlCQQCiURy7949sk9SZtPPgx5II3eoPPfccwih/Pz8vpvYJOW6ujpvb+/o6Oju7u5+KxAE4eXlNbzYxmRShuGLIaiurkYICQQC/PU5MzPTyMho2bJlVAVHR8fp06cXFBRUVFTQnzh37lzqb3zSVFVVhR8uXrw4Nzf3rbfeys/Px6MWpaWlixYtwlvZ72IknD17FiG0dOlSqkQkEgUHB7e3t+vr+6ZEIsFfYLGZM2c6OzsXFhbirtbR9evXnzx5MqJXwsMjxQKBQHu1+fPn79+/v62tLSoqivq+RWHfz1oOpJE7VHD2z8rKGsZz29raFArFtGnTMjIyjI2N+61jYmLSt0/GM0jKQ5CTk4MQ8vX1FQgEHR0dTU1Nvb29MpmMvsz+1q1bCKEHDx7QnyiTyai/hUIhQqi3txc/TElJOXLkSHl5eXBwsFQqXbx4Mf6IIoSGtAu9w3s3NTVlLHtycHBACKnVar3sxdLSklFib2+PEHr8+LFe2h9ppqamCCFqjkGLhISE6OjoO3fuMFbODamfBzqQRvRQcXJyQsN6R7q7u6OiolxcXL7++uuBMjKuNoyZwzEMkjJbvb29KSkpCKENGzYghEQikaWlpYmJSVdXV98vIIGBgSybJQhi9erVP/zwQ2NjY2ZmJkmSERERn3zyiR53MTwikUgmk2k0mpaWFno5/r2Ao6MjfmhkZNTZ2Umv0NjYyGiKMeFOV19fT/5+3Tf+8OPUrHv7Iw0nLDwwOqi0tLQpU6akp6fjkWiMZT9rN6KHCj4Zp94R9uLi4jo6Ok6fPk3Nvnp5eeXn59PrNDc3kySJuxFgkJTZSkpK+ve//x0eHh4VFYVLIiIiuru7qdUC2N69e5955hn26y4tLS1LSkoQQgKB4IUXXsBT7dQKIb3sYtjCw8MRQvTlSh0dHdnZ2WKxWKFQ4BInJ6fKykqqglqtfvToEaMdMzMzKrFOmTLl0KFD1CaNRoN//Ib99NNPVVVVcrmc+pTq2P5ImzFjBkKI5fiAubn5t99+K5FIGKsq2fTzoPRyqKSlpfn4+NBLSJLEP+5Yvnw5y0awXbt23b1797vvvhOJRFqq4TcXdyP4D/0OUXNOvxN9PT09NTU1mZmZQUFBCKE1a9Y8ffqUqllTU+Pp6enh4XHx4sXGxsb6+vqDBw+amZnRJ9Dw/Ex7eztVsmXLFkSb3ZLJZAEBAYWFhRqNpqamZteuXQihPXv2sN/F8KAhrr5obm6mVgUcOnSIqoO/jH/22WctLS0PHz5csWKFi4sLYyJu8eLFMpns0aNHubm5JiYmxcXFuFwul8tksuDgYC2rL3RpfxRWX/T29trb2/edZmRM9NEdO3YMITTQ6ouB+nnQA4nNoRITE4MQKi8vH+jlHD58GCG0fv36Bw8etLe3l5SU4KcMdfXFl19+OVDCYbwdeL3d2bNnBwpJuzE50QdJ+XckEgn9ACIIQiaTzZw5c926dQUFBX3r4+WlHh4eAoHAzs4uJCTk6tWreFNeXh69qW3btpG//56+dOlSkiRVKlVcXNyzzz6L1ynPnz//8OHDvb29bHahCzZJmSTJurq6xMREd3d3gUAgk8kUCkV2dja9QmNjY2xsrJOTk1gs9vPzUyqV1KnWli1bcJ2SkhJ/f3+JROLq6kpfqCCXy11cXIqLixUKhYWFhVgsDggIyMnJ0Vf7/v7+I736giTJ999/38TEpLKyEj+sra2lv8v9Ln5Yt24d4/+Kln5meSCRLA6VoKAgc3PzgVZBkCSp0Wi++eab8PBwT09PPK6yaNGi48ePM6r1O+lHX8BHn7TUnpTxoHNnZ6fWPh4QJGUDMCbfpJHAMimPKJyUuY0B0yUpNzY2uri4xMXF6TckvWtoaBCLxf0uFuaKSqUiCIK+FnCoxuTnHcaUAdCJTCbLyso6c+YMngfmJ5IkExISpFLp7t27uY7lP8rLyyMiIpKSklauXMl1LPwCSRkAXc2ePfvmzZuXLl1qbm7mOpb+1dTUlJeXZ2dns1zOMQpSU1OTk5OTk5O5DoR3ICkDDuBrVhQWFlZWVhIEsX37dq4j0pWbm9v58+elUinXgfTP0dExJydn+vTpXAfyP3v37oVz5H6N6tVbAMA2bdqEr/IBAGCAM2UAAOARSMoAAMAjkJQBAIBHICkDAACPjMGJvoqKCrgVIxuMn4oZtI6ODoSQ9sssaIG7Ag4bg1NRUTFhwgSuo9A3rn+9omf42q8AgHFi7P2ijyB//zt6AAzRihUrEJzqgjEBxpQBAIBHICkDAACPQFIGAAAegaQMAAA8AkkZAAB4BJIyAADwCCRlAADgEUjKAADAI5CUAQCARyApAwAAj0BSBgAAHoGkDAAAPAJJGQAAeASSMgAA8AgkZQAA4BFIygAAwCOQlAEAgEcgKQMAAI9AUgYAAB6BpAwAADwCSRkAAHgEkjIAAPAIJGUAAOARSMoAAMAjkJQBAIBHICkDAACPQFIGAAAegaQMAAA8AkkZAAB4BJIyAADwCCRlAADgEROuAwBgOJ4+fdrR0UE97OzsRAg1NDRQJSKRyMzMjIPIANANQZIk1zEAMGSff/75hg0btFRISUlZv379qMUDgL5AUgYGqba21snJqaenp9+txsbG1dXVdnZ2oxwVALqDMWVgkOzs7IKDg42NjftuMjY2fv755yEjAwMFSRkYqlWrVvX7PY8kyVWrVo1+PADoBQxfAEPV0tJiZ2dHn+7DhEJhbW2tVCrlJCoAdARnysBQWVhYLFu2TCAQ0AtNTExCQ0MhIwPDBUkZGLCYmJju7m56SU9PT0xMDFfxAKA7GL4ABqyzs9PW1ralpYUqMTc3r6urE4lEHEYFgC7gTBkYMKFQGBkZKRQK8UOBQLBixQrIyMCgQVIGhu2VV17BP+dDCHV1db3yyivcxgOAjmD4Ahi23t5eBweHuro6hJCNjU1NTU2/i5cBMBRwpgwMm5GRUUxMjFAoFAgEq1atgowMDB0kZWDwXn755c7OThi7AGMDDF8Ag0eS5MSJExFCv/76K0EQXIcDgE7g0p3A4BEE8dprrxEEARkZjAXkWBcZGcl1HwMA9CMyMpLrjDLixsWZ8vz58999912uo+C76OjoxMREX19frgPhhby8vE8//fTUqVNcBwL+58CBA1yHMBrGRVKeMGHCihUruI6C76Kjo319faGjKJ9++in0Bq988803XIcwGmD1BQAA8AgkZQAA4BFIygAAwCOQlAEAgEcgKffv5MmTeN2rqakp17GwRZLkjRs3NmzYMHnyZJFIZG9v7+fnd+zYMRJ+HzTyfv3119DQ0Obm5rq6OuK/Zs+erdFo6NXoWwmCmDNnDlcBD8TPz4/oIzExsW/NixcvTp482cSkn8UCDQ0NBw8eDAoKsra2FovFkyZNiomJKSwspNfZunUrLG7pFyTl/q1cuZIkyeDgYK4DGYLS0lI/P7/79++fOXOmqakpPz//mWeeWb169ebNm0dup62trZMmTVq2bNnI7YL/VCrVnDlzQkJCpFKpra0tSZJKpRKXM9IZ3pqXl2djY0OS5M2bNzkKWSdlZWWhoaFJSUk1NTX9Vti8eXN8fHxYWFhxcXF9fX16erpKpfLx8cnMzKTqrF27NikpaceOHaMVtcGApDymmJiYnD59etasWaamph4eHl999ZWNjc3f//73vjey0xeSJHt7e3t7e0eo/UGZm5v7+flxtXeEUHNz8/Lly1966aW3336bXi4SiWxsbFJTU0+cOMFVbMOjVCoZP2f49NNP6RV27NixYMGCgoICCwuLgRpZs2bNO++84+joaGZm5u/vf/z48Z6envfee4+q4Onpefbs2eTk5NOnT4/gizFA42Kd8jgxderUrq4ueolQKHR1dVWpVBqNZoQu/W5hYVFWVjYSLRuKffv2qdXqnTt3MspNTU0zMjL++Mc/xsXF+fj4TJ48mZPwRsIXX3whFou1VEhLS2OUyOVysVhcVlZGkiT1a3i5XB4ZGblx48aIiIh+h0HGJzhTHssaGxsfPHgwe/ZsmUzGdSxjE0mSaWlp8+bNc3Z27rtVoVBs3769paUlKiqKMbhs0LRn5H61tbW1t7fPmDGDcX2S8PDwioqKCxcu6C86gwdJ+X9KSkpefPFFmUwmkUj8/f1zcnL61qmtrU1ISHBzcxMKhXZ2dhERESqVCm/KzMykJkZ++eWX6OhoS0tLGxubZcuW0c8lOzo6du7cOXXqVDMzM2tr6+XLl587d66np4fNLthrbm6+ceNGaGioo6PjkSNHht4ZrNBfMk46bDph//79uMKECROUSmVwcLCFhYWZmVlgYOCNGzdwnT179uA61NDE5cuXcYmtrS29nba2ths3buBNo3+2VVhYWFNTI5fLB6rwwQcfhISEFBUVxcfHa2mnvr7+z3/+s6enp1AotLKyWrJkybVr1/AmlscV0tORgxA6evSot7e3RCKRyWR45GEYjTDgH+Nt27aNUe7t7Y0Q+v7773Xfxdgxmhfa4ERkZCSbi5g8ePDA0tLSxcXlypUrLS0tRUVFISEhbm5uIpGIqlNVVTVx4kQHB4cLFy60tLTcuXMnICDA1NQ0NzeXqhMWFoYQCgsLy83NbW1tvXr1qlgsnjt3LlUhNjZWJpNduXLl6dOnarV606ZNCKFr166x38Wgdu/ejd/cRYsWFRUVsXwWQujUqVPs90LBL7m9vZ1RoqUTSJKUy+USicTX1xfXUSqVs2bNEgqF169fp+pIJJKFCxfSn+Xj44OnyLTUwQIDA62trfPy8obxikiSxAsDBq129OhRhNBHH33EKFcqlTKZDP9dW1vr6uqKEMIrYUjaRB9WXV3t7u7u4OCQlZXV1NRUWloaERFBEMThw4epOoN2qV6OHJIkFy5cuHr16oKCgtbW1pKSktWrVyOE4uPj+63s4uJibGw8aJtqtdrBwSE2NrbvpqamJoSQv78/m9hYfpYNHSTl/4iKikIInTlzhiqprKwUiUT0pPzaa68hhDIyMqiS6upqkUjk4+NDleAPT1ZWFj0AhFBtbS1+6O7uvmDBAvquJ0+eTCVlNrtgo6Oj4969e3/605+MjY0//PBDNk/Re1LW0gkkSeKzy9u3b1MlRUVFCCG5XE6V6JKUAwICrKyshpqSKCyT8r59+xBCKSkpjHJ6UiZJMi8vTyAQSCSSe/fukX2S8uuvv44QOnHiBFWi0WicnZ3FYrFarcYlg3apvo6cvp577jmEUH5+ft9NbJJyXV2dt7d3dHR0d3d3vxUIgvDy8mITyThJyjB88R+XL19GCCkUCqrE2dmZMTmTmZlpZGREX/7l6Og4ffr0goKCiooKes25c+dSf+OzpKqqKvxw8eLFubm5b731Vn5+Ph61KC0tXbRo0VB3oZ1QKJw6deo//vGP0NDQnTt3/vDDD+yfqy9aOgGTSCT42ys2c+ZMZ2fnwsLC6upq3fd+/fr1J0+ejPRF7/CgjUAg0F5t/vz5+/fvb2tri4qKam9vZ2w9e/YsQmjp0qVUiUgkCg4Obm9vZ3yv19Kl+jpy+sLZPysraxjPbWtrUygU06ZNy8jIGOhOXSYmJn37ZDyDpIwQQh0dHS0tLaampubm5vRye3t7ep2mpqbe3l6ZTEZfV3/r1i2E0IMHD+hPpE+sCYVChBC1aCwlJeXIkSPl5eXBwcFSqXTx4sX4MznUXbC0fPlyhND58+eH8VwdaekEzNLSkvEU3OGPHz8e+ej0A/+2iLHopV8JCQnR0dF37txhrJzDb7qpqSljeZmDgwNCSK1W0wsH6tKROHIoTk5OaFhvSnd3d1RUlIuLy9dff63l3ond3d3DmDkcwyApI4SQSCSysLDQaDStra308idPntDrWFpampiYdHV19f3GERgYyHJfBEGsXr36hx9+aGxszMzMJEkyIiLik08+0eMuGC+N8UL4o76+nvz9rw3xJ5/6X2hkZNTZ2Umv0NjYyGiE27uN4ISFB0YHlZaWNmXKlPT0dDwSjYlEIplMptFoWlpa6JXx7zIcHR3ZtDwSRw4Fn4zTT1BYiouL6+joOH36NDUB6+XllZ+fT6/T3NxMkiTuRoBBUv6PJUuWoP8OYmB1dXWlpaX0OhEREd3d3dQKAWzv3r3PPPNMd3c3yx1ZWlqWlJQghAQCwQsvvIDn1qklQbrsYtOmTatWrWIUXrp0Cf3+ay9/aDQa/Ms37KeffqqqqpLL5dRH1MnJqbKykqqgVqsfPXrEaMTMzIxK3FOmTDl06NAIR/07M2bMQAixHB8wNzf/9ttvJRLJ559/Ti8PDw9HCNGXhXV0dGRnZ4vFYvp4mnZ6OTjT0tJ8fHzoJSRJ4h934K9c7O3atevu3bvfffed9gXy+P3F3Qj+Q79D1DzEcnLg4cOH1tbW1OqLu3fvKhQKe3t7+kRfTU2Np6enh4fHxYsXGxsb6+vrDx48aGZmRp8f6zvrtWXLFkSb0ZLJZAEBAYWFhRqNpqamZteuXQihPXv2sN/FQDZu3EgQxF/+8peff/5Zo9H8/PPP+AdUPj4+T58+HfTpSN8TfVo6gSRJuVwuk8mCg4O1rL7A3/Q/++yzlpaWhw8frlixwsXFhTHRt3jxYplM9ujRo9zcXBMTk+LiYlw+Oqsvent77e3t+840Mib66I4dO4YQGmj1RXNzM7X64tChQ1SdQbuUzZETExODECovLx/o5Rw+fBghtH79+gcPHrS3t5eUlOCnDHX1xZdffjlQwmG8I3i93dmzZwcKiW6cTPRBUv6f0tLSF198USqV4sVG58+fp6598eabb+I6eD2ph4eHQCCws7MLCQm5evUq3pSXl0c/+LZt20b+/rv50qVLSZJUqVRxcXHPPvssXqc8f/78w4cP9/b2UmFo2YV2TU1NaWlpCoUCr1Q1Nzf38fH5+OOP2WRkclhJmRoNx2JiYlh2AkmScrncxcWluLhYoVBYWFiIxeKAgICcnBx6+42NjbGxsU5OTmKx2M/PT6lUUudxW7ZswXVKSkr8/f0lEomrqyt9FYS/v/8orL4gSfL99983MTGprKzED2tra+mvt9/FD+vWrWP8a6mrq0tMTHR3dxcIBDKZTKFQZGdn403su3TQIycoKMjc3HygVRAkSWo0mm+++SY8PNzT0xOPqyxatOj48eOMav1O+tEX8NEnLRkYSRkPOnd2dmrt4/+ApDxGjJM3UnfDSMq6wEl51HY3VOyTcmNjo4uLS1xc3EiHpKOGhgaxWNzvYmGuqFQqgiDoawG1GyefZRhTBkAnMpksKyvrzJkzKSkpXMcyIJIkExISpFIp9cMizpWXl0dERCQlJa1cuZLrWPgFkjIAupo9e/bNmzcvXbrU3NzMdSz9q6mpKS8vz87OZrmcYxSkpqYmJycnJydzHQjvQFI2JH2vPk7BE4YGAV+zorCwsLKykiCI7du3cx2RHri5uZ0/f14qlXIdSP8cHR1zcnKmT5/OdSD/s3fvXjhH7hdcLs+QkGPiHiKbNm3CV/wAAPQFZ8oAAMAjkJQBAIBHICkDAACPQFIGAAAeGRcTfRUVFXBzRjYYPx4bz3BXwGHDKxUVFRMmTOA6ipHH9a9XRhy+GiwAYAwYD7/oGxdnypGRkfgWYUALgiBOnTq1YsUKrgPhhdOnT0dHR5NjYg3imIFvDzTmwZgyAADwCCRlAADgEUjKAADAI5CUAQCARyApAwAAj0BSHoS5uTn9YmxGRkZWVlZyuXz9+vUFBQVcRwf44tdffw0NDW1ubq6rq6OOltmzZ2s0Gno1+laCIObMmcNVwP1qaGg4ePBgUFCQtbW1WCyeNGlSTExMYWEho5qfn1/f6xQmJiYyqnV1dR04cMDHx8fCwsLe3n7JkiVZWVnUgpatW7fiOwkABkjKg2htbb19+zZCKCwsjCTJrq6ukpKSDz/8sKSkZM6cOW+88cbTp0+5jhFwTKVSzZkzJyQkRCqV2trakiSJbwirUqkYqQpvzcvLw7eDunnzJkch92/z5s3x8fFhYWHFxcX19fXp6ekqlcrHxyczM3OoTbW1tQUFBX311VcHDhx4/PjxzZs3zc3NQ0ND7969iyusXbs2KSlpx44d+n4Rho/LRdKjQvdbyNCTMh2+LWloaCj9DnuGC43i7aAkEknfm43yqn32t4NqamqaMGEC43ZQSqVSJBLZ2NgghPre445Kynzz5ptvvvXWW/QSlUqFEJo0aRK9cOHChUqlUntT69atk0qlarWaKmltbRWJRD/99BO9cbw6nmV4cDsoMIi//vWv8+bNO3fu3MmTJ7mOBXBm3759arV6586djHJTU9OMjAwjI6O4uLj79+9zEttQpaWlpaam0kvkcrlYLC4rKyOH8juampqaQ4cOxcTEODg4UIUSiUSj0cyYMYPeeGRk5MaNG7u7u3UPfsyApDx8BEG8/fbbCKHPP/+c61gAN0iSTEtLmzdvnrOzc9+tCoVi+/btLS0tUVFRjMFlQ9HW1tbe3j5jxgyCINg/69y5cz09PX5+foPWDA8Pr6iouHDhgg4xjjWQlHWCD7v8/Pyuri5cUltbm5CQ4ObmJhQK7ezsIiIi8BdAhFBmZiY1K/LLL79ER0dbWlra2NgsW7asrKyMarOjo2Pnzp1Tp041MzOztrZevnw5PsSpClp2MQrwfew9PT2FQqGVldWSJUuuXbuGN+3Zswe/OurTePnyZVxia2uLS/C9oNra2m7cuIE3mZiYUOUEQUyYMEGpVAYHB1tYWJiZmQUGBt64cUP39kdIYWFhTU2NXC4fqMIHH3wQEhJSVFQUHx+vpR0tvcrysEEjc2Dg6xNs27aNUX706FFvb2+JRCKTyfz9/Y8fP07feuvWLYSQlZXVxo0bXV1dhULhxIkTExISnjx5wmjH29sbIfT999/rGOeYwvX4yYgbuTFlkiTb29txN1ZVVZEkWVVVNXHiRAcHhwsXLrS0tNy5cycgIMDU1DQ3N5d6SlhYGG4tNze3tbX16tWrYrF47ty5VIXY2FiZTHblypWnT5+q1Wp856Rr167hrWx2MTyIxZhydXW1u7u7g4NDVlZWU1NTaWlpREQEQRCHDx+m6vQdz/Xx8WEMoQ405iuXyyUSia+vL+4cpVI5a9YsoVB4/fp1vbQfGBhobW2dl5en/WWSrMeUjx49ihD66KOPGOVKpVImk+G/a2trXV1dEULHjh3DJYwxZTa9OuhhMxIHhlqtdnBwiI2NZZQvXLhw9erVBQUFra2tJSUlq1evRgjFx8czonV0dIyJiSkrK2toaPj6668lEsnkyZMbGxvpTTU1NSGE/P392cQzTsaUISkPTktSppZe4KT82muvIYQyMjKoCtXV1SKRyMfHhyrBxyteG0RFiBCqra3FD93d3RcsWEDfy+TJk6mkzGYXw8MmKb/++usIoRMnTlAlGo3G2dlZLBZTUzo6JmWE0O3bt6mSoqIihJBcLtfyXPbtBwQEWFlZsclTLJPyvn37EEIpKSmMcnpSJkkyLy9PIBBIJJJ79+6RfZIym14d9LDR+4FRV1fn7e0dHR3d3d09aOXnnnsOIZSfn48fKhQKhJC7u3tXVxdVZ8+ePQihHTt2MJ5LEISXlxebkMZJUobhC51UV1cjhAQCAf76nJmZaWRktGzZMqqCo6Pj9OnTCwoKKioq6E+cO3cu9Tc+jaqqqsIPFy9enJub+9Zbb+Xn5+NRi9LS0kWLFuGt7HcxEs6ePYsQWrp0KVUiEomCg4Pb29v19Q1UIpHgr7TYzJkznZ2dCwsLcVfr6Pr160+ePPH19dW9KQyPFAsEAu3V5s+fv3///ra2tqioKOrbFYV9r2o5bPR7YLS1tSkUimnTpmVkZBgbGw9aH/+HyMrKwg8lEglC6Pnnn6ePHS1fvhz1N1JhYmLSt0/GM0jKOsnJyUEI+fr6CgSCjo6Opqam3t5emUxGX1SPx9cePHhAf6JMJqP+FgqFCKHe3l78MCUl5ciRI+Xl5cHBwVKpdPHixfhDixAa0i70Du/d1NTUwsKCXo5n2NVqtV72YmlpySixt7dHCD1+/Fgv7euXqakpQoiaUdAiISEhOjr6zp07eHKYMqReHeiw0e+B0d3dHRUV5eLi8vXXX7PJyAghJycnRHuP3NzcEEJ4RSAFv4+1tbV9dycWi4cU4dgGSXn4ent7U1JSEEIbNmxACIlEIktLSxMTE/pXNkpgYCDLZgmCWL169Q8//NDY2JiZmUmSZERExCeffKLHXQyPSCSSyWQajXdpXgEAACAASURBVKalpYVeXlNTgxBydHTED42MjDo7O+kVGhsbGU1pmcqvr68nf7/6Cn/U8Uda9/b1CycjPDA6qLS0tClTpqSnp+ORaIxlr2qn3wMjLi6uo6Pj9OnT1Hmul5dXfn6+lqfgE3bqPcIzsYwvN/h9pC+SQwg1NzeTJIm7EWCQlIcvKSnp3//+d3h4OHXt7YiIiO7ubmq1ALZ3795nnnmG/UpMS0vLkpIShJBAIHjhhRfw5Du1Zkgvuxi28PBwhBB9AVNHR0d2drZYLMbDiAghJyenyspKqoJarX706BGjHTMzMyqxTpky5dChQ9QmjUaDfw6H/fTTT1VVVXK5nPrc6ti+fuFVtyzHB8zNzb/99luJRMJYQ8mmVwelrwNj165dd+/e/e6770QiUb8V0tLSfHx86CUkSeL7ZuEBCoTQH//4RxcXl8uXL9MXAuLBjRdffJH+XPxW0hcvA5joGxx9oq+np6empiYzMzMoKAghtGbNmqdPn1I1a2pqPD09PTw8Ll682NjYWF9ff/DgQTMzM/oEGp6xaW9vp0q2bNmCaLNbMpksICCgsLBQo9HU1NTs2rULIbRnzx72uxgeNMTVF83NzdQ6gUOHDlF18Nfzzz77rKWl5eHDhytWrHBxcWFMxC1evFgmkz169Cg3N9fExKS4uBiXy+VymUwWHBysZfWFLu3rffVFb2+vvb1930lFxkQf3bFjxxBCA62+GKhXBz1s2BwYMTExCKHy8vKBXs6XX345UKKgOu3w4cMIofXr1z948KC9vb2kpAQ3S199QZLkpUuXTExMwsLC7t+/39DQcOTIEYlEMm/ePPrnhSRJvJbu7NmzA4VEN04m+iApDwJPWVAIgpDJZDNnzly3bl1BQUHf+njBqYeHh0AgsLOzCwkJuXr1Kt7EuC3ptm3byN9/T1+6dClJkiqVKi4u7tlnn8XrlOfPn3/48GH6L7m17EIXbJIySZJ1dXWJiYnu7u4CgUAmkykUiuzsbHqFxsbG2NhYJycnsVjs5+enVCqpE6stW7bgOiUlJf7+/hKJxNXVlb50QS6Xu7i4FBcXKxQKCwsLsVgcEBCQk5Ojr/b9/f31u/qCJMn333/fxMSksrISP2SMmfa7+GHdunWM/yJaepXlYUOyODCCgoLMzc21rKagTzYOlJQ1Gs0333wTHh7u6emJx14WLVrU96fkJEnm5uYqFAqZTCYUCqdOnbpr1y5GRiZJEg9ed3Z2DtzB/wNJeYwYJ2+k7lgm5RGFkzK3MWDsk3JjY6OLiwvj2hc81NDQIBaL+y465hC+9gV9LaB24+SzDGPKAOhEJpNlZWWdOXMGz/ryE0mSCQkJUql09+7dXMfyH+Xl5REREUlJSStXruQ6Fn6BpAyArmbPnn3z5s1Lly41NzdzHUv/ampqysvLs7OzWS7nGAWpqanJycnJyclcB8I7kJQBL+BrVhQWFlZWVhIEsX37dq4jGho3N7fz589LpVKuA+mfo6NjTk7O9OnTuQ7kf/bu3QvnyP0awWu1AMDepk2b8FU+ABjn4EwZAAB4BJIyAADwCCRlAADgEUjKAADAI+Nioi8/P5+6PAXQ4sCBA/hOEwaHcdEi3eHLWcBhwyv5+fnz58/nOooRN/aTsh4vnju24UviGqjy8nKk16Q8YcIEg+6QMWn+/Pnj4eNMkEO5SS0A/LRixQqEEL5WGQAGDcaUAQCARyApAwAAj0BSBgAAHoGkDAAAPAJJGQAAeASSMgAA8AgkZQAA4BFIygAAwCOQlAEAgEcgKQMAAI9AUgYAAB6BpAwAADwCSRkAAHgEkjIAAPAIJGUAAOARSMoAAMAjkJQBAIBHICkDAACPQFIGAAAegaQMAAA8AkkZAAB4BJIyAADwCCRlAADgEUjKAADAI5CUAQCARyApAwAAj0BSBgAAHoGkDAAAPAJJGQAAeASSMgAA8AgkZQAA4BETrgMAYDh+/PHHwsJC6mF5eTlC6NChQ1SJXC6fN28eB5EBoBuCJEmuYwBgyM6fP798+XJjY2MjIyOEUG9vL0KI+runpycrK2vZsmUcRwnA0EFSBgapq6vL1ta2ubm5361SqbS2tlYoFI5yVADoDsaUgUESCAQrV67sN+1q2QQA/0FSBobq5Zdf7uzs7Fve1dX1yiuvjH48AOgFDF8AQ9Xb2+vs7FxTU8Mot7OzU6vVeHwZAIMDBy4wVEZGRqtWrWIMUwiFwtdeew0yMjBccOwCA9Z3BKOzs/Pll1/mKh4AdAfDF8CweXl5lZWVUQ/d3d3xmmUADBScKQPDtmrVKoFAgP/GYxfcxgOAjuBMGRi2hw8fTpo0iXpYWlo6efJkDuMBQEdwpgwMm5eX16xZswiCIAhi1qxZkJGBoYOkDAzeq6++amxsbGxs/Oqrr3IdCwC6guELYPCqqqpcXV1Jkvztt99cXFy4DgcAncBV4oDBc3Z2XrBgAUIIMjIYA8Z+Us7Ly/vtt9+4jgKMrGeffZYgiNOnT3MdCBhZrq6uvr6+XEcxwsixLjIykus+BgDoR2RkJNcZZcSN/TNlhFBkZOQ333zDdRR8RxDEqVOnVqxYwXUgvHD69Ono6GgSZlz4JCoqiusQRgOsvgAAAB6BpAwAADwCSRkAAHgEkjIAAPAIJGUAAOARSMr9O3nyJL6cgqmpKdexDFNoaChBEHv27OE6kHHh119/DQ0NbW5urqurI/5r9uzZGo2GXo2+lSCIOXPmcBVwvxoaGg4ePBgUFGRtbS0WiydNmhQTE1NYWMio5ufnR/SRmJjIqNbV1XXgwAEfHx8LCwt7e/slS5ZkZWVRC1q2bt166tSp0XhVhgaScv9WrlxJkmRwcDDXgQzTkSNHsrKyRmFHra2tkyZNWrZs2Sjsi7dUKtWcOXNCQkKkUqmtrS1JkkqlEpczUhXempeXZ2NjQ5LkzZs3OQq5f5s3b46Pjw8LCysuLq6vr09PT1epVD4+PpmZmUNtqq2tLSgo6Kuvvjpw4MDjx49v3rxpbm4eGhp69+5dXGHt2rVJSUk7duzQ94sweJCUx6CqqqrExMTVq1ePwr5Ikuzt7e3t7R2FffXL3Nzcz8+Pq70jhJqbm5cvX/7SSy+9/fbb9HKRSGRjY5OamnrixAmuYhuGNWvWvPPOO46OjmZmZv7+/sePH+/p6XnvvfcY1ZRKJeMnD59++im9wubNm4uKiq5cufJ///d/YrH4mWee+eqrr0QiEVXB09Pz7NmzycnJ8DtMBkjKY9DatWujoqJCQkJGYV8WFhZlZWUXL14chX3x0759+9Rq9c6dOxnlpqamGRkZRkZGcXFx9+/f5yS2oUpLS0tNTaWXyOVysVhcVlY2pN/R1NTUHDp0KCYmxsHBgSqUSCQajWbGjBn0xiMjIzdu3Njd3a178GMGJOWxJj09/e7du/v37+c6kHGBJMm0tLR58+Y5Ozv33apQKLZv397S0hIVFcUYXDYUbW1t7e3tM2bMIAiC/bPOnTvX09PD5htMeHh4RUXFhQsXdIhxrIGk/D8lJSUvvviiTCaTSCT+/v45OTl969TW1iYkJLi5uQmFQjs7u4iICJVKhTdlZmZSkx6//PJLdHS0paWljY3NsmXL6DeR6+jo2Llz59SpU83MzKytrZcvX46PYDa7GFRFRcXGjRvT09MtLCx06Am26C8ZJx02nbB//35cYcKECUqlMjg42MLCwszMLDAw8MaNG7jOnj17cB3qg3358mVcYmtrS2+nra3txo0beJOJyWhfNqCwsLCmpkYulw9U4YMPPggJCSkqKoqPj9fSTn19/Z///GdPT0+hUGhlZbVkyZJr167hTSyPK6TbkTMQfH2Cbdu2McqPHj3q7e0tkUhkMhke5aBvvXXrFkLIyspq48aNrq6uQqFw4sSJCQkJT548YbTj7e2NEPr+++91jHNMGc0LbXAiMjKSzUVMHjx4YGlp6eLicuXKlZaWlqKiopCQEDc3N5FIRNWpqqqaOHGig4PDhQsXWlpa7ty5ExAQYGpqmpubS9UJCwtDCIWFheXm5ra2tl69elUsFs+dO5eqEBsbK5PJrly58vTpU7VavWnTJoTQtWvX2O9CC4VCsX79evz30aNHEUK7d+9m80SSJBFCp06dYlmZDr/k9vZ2RomWTiBJUi6XSyQSX19fXEepVM6aNUsoFF6/fp2qI5FIFi5cSH+Wj48PniLTUgcLDAy0trbOy8sbxisiSRIvDBi0Gu7kjz76iFGuVCplMhn+u7a21tXVFSF07NgxXEJN9GHV1dXu7u4ODg5ZWVlNTU2lpaUREREEQRw+fJiqM2iX6njk9EutVjs4OMTGxjLKFy5cuHr16oKCgtbW1pKSEjx7ER8fz4jW0dExJiamrKysoaHh66+/lkgkkydPbmxspDfV1NSEEPL392cTD8vPsqGDpPwf+FonZ86coUoqKytFIhE9KeObcmZkZFAl1dXVIpHIx8eHKsGHI176QwWAEKqt/f/27j2qiWtdAPg3mBBCIAOCvCKtPEQUbeSgFa1cBJTg8VVSEXutp7VFqa1y8FSr+Kq39XFkuWy7Kl0q6LmtYnuoXVLxVZXqugsJp4iCVQQfnNYKJPIwvCTIY+4f2zMdA4SRBBLk+/1F9uzM7OzsfMzsvWd2FXnp5eU1ZcoU7qH9/PzYoMznEN3Zv3+/t7d3Y2MjeWn2oGygEhiGIWeXV69eZVOuXbsGAHK5nE0xJiiHhoY6Ojr2OiTxDMrJyckAkJKSopfODcoMw6hUKqFQKJFIbt68yXQKym+99RYAfPPNN2yKTqfz8PAQi8VqtZqk9FilxrScLlVXV48fPz42Nratra3HzC+//DIA5OXlkZcKhQIAvLy8Wltb2TxkduamTZv03ktRlK+vL58iDZKgjN0XT5w5cwYASGMiPDw89BZ8y8zMtLKy4k7/cnNzCwgIKCgouH//PjfnxIkT2b/JWVJFRQV5GRUVlZubu2zZsry8PNJrUVpaOm3atGc9hJ579+6tWbPm4MGDEonkmT543zFQCYREIiFXr8S4ceM8PDyKiooqKyuNP/rFixdra2v7+tm7pNOGXU67O8HBwbt27WpqaoqJiWlubtbbeuzYMQCYNWsWmyISiSIiIpqbm/Wu6w1Uaa9bTpeampoUCsWYMWPS09OHDBnSY37yH4KdhUka4fTp07kdSnPmzIGueioEAkHnOhnMMCgDALS0tDQ0NNjY2NjZ2XHTXVxcuHnq6uo6OjpomubOmSfdZ7dv3+a+kaZp9m9ra2sAYCeNpaSkfP3112VlZREREVKpNCoqivwmn/UQesiV77Rp09h3kYvKTZs2kZd37twxooZ6w0AlEA4ODnpvIRX+4MGDvi+daZB7i1pbW3vMmZCQEBsbe/36db2Zc+RLt7Gx0RsGIPMW1Go1N7G7KjWm5XTW1tYWExMjk8m++uorPhEZANzd3YHzxY0YMQIAnJycuHnIl1tVVdX5cGKx+JlK+HzDoAwAIBKJ7O3tdTpdY2MjN507LiESiRwcHAQCAfeKjBUWFsbzWCRcnj9/XqvVZmZmMgyjVCp3795t5CHef/99vfx63Re+vr7PXC99rKamhnl6ohX5VbP/C62srB4/fszNoNVq9XbyTLMCTI4EI9Ix2qO0tLRRo0YdPHiQfDWESCSiaVqn0zU0NHAzazQaAHBzc+OzZ1M1TiI+Pr6lpSUjI4M9z/X19c3LyzPwFnLCzn5xZHhW74qHfLncSXIAUF9fzzAMqUZEYFB+YubMmfCfTgyiurq6tLSUm0epVLa1tbEzBIidO3e+8MIL/CdaOjg4lJSUAIBQKJwxYwYZW2enBJnkEAOFTqcjd74Rv/zyS0VFhVwuZ3+i7u7u5eXlbAa1Wn3v3j29ndja2rKBe9SoUfv37+/jUj+FzLrl2T9gZ2f3/fffSySSL7/8kpseHR0NANxpYS0tLdnZ2WKxmNufZpipWs6WLVtu3Ljxww8/cG/04EpLSwsKCuKmMAxDbgAhHRQA8Oc//1kmk505c4Y7EZB0brz66qvc95Lvlzt5GWFQfmL79u1Dhw5NTEw8d+5cY2NjcXHxG2+8odebsWPHDh8fn7fffvv06dN1dXW1tbX79u37+OOPd+3a9UyTsd59991r1661tLQ8ePAgOTmZYZjw8HDTHmJAoGl6/fr1KpWqqanp8uXLb7zxhrW19eeff85miIyMrKio2LNnT2Nj4927d//6179yO5SIP/3pT7du3fr9999VKlVZWVlISAhJDw8Pd3JyMnx+Zzy5XO7i4tL56RDdCQgI0Ls7AwB27Njh5eWVmJh44sSJhoaGW7du/fd//3dlZeXnn3+ud15pAJ+W88Ybb1AU9e9//7u7nfzv//7v//zP//zrX/+yt7fndoPozb27cuXK+++/f+fOHZ1OV1paSmZirFy5ctKkSSSDSCRKS0urqalZuHDh7du3tVrtoUOHduzYMWnSpISEBO6uyKS9/rnRacAwZpRwQOA/YltaWvrqq69KpVIy2ejEiRPssy/eeecdkofMJ/X29hYKhcOGDYuMjDx37hzZpFKpuBW7YcMG5ulr81mzZjEMU1hYGB8fP3r0aDJPOTg4ODU1taOjgy2GgUPwFB8fr/ctKxSKHt8Fzz77gu0NJxYtWsSzEhiGkcvlMpmsuLhYoVDY29uLxeLQ0NCcnBzu/rVabVxcnLu7u1gsnjp1an5+PnuOtnbtWpKnpKQkJCREIpF4enpyZ0GEhIT0w+wLhmHWr18vEAjKy8vJS70+0y4nPyxfvlxvDkl1dXViYqKXl5dQKKRpWqFQZGdnk038q7THlhMeHm5nZ2dgNgV3sFEPO7lQp9N999130dHRPj4+pO9l2rRpR44c6by33NxchUJB07S1tbW/v/+WLVsePXqkl4d0Xj9+/Lj7Cv7DIJl9gUEZPdGLoGwMEpT77XDPin9Q1mq1MpksPj6+r4tkpIcPH4rF4s6Tjs2osLCQoijuXEDDBslvGbsvEDIKTdNZWVlHjx5NSUkxd1m6xTBMQkKCVCr95JNPzF2WJ8rKypRKZVJS0sKFC81dFsuCQRkhYwUGBl6+fPn06dP19fXmLkvXNBpNWVlZdnY2z+kc/WDfvn3btm3btm2buQticTAoDySdnyzO2rJli7lLxxd5ZkVRUVF5eTlFURs3bjR3iUxgxIgRJ06ckEql5i5I19zc3HJycgICAsxdkD/s3LkTz5G79LwN6D/fmGd5fKLFWr16NXniB0KoMzxTRgghC4JBGSGELAgGZYQQsiAYlBFCyIIMioG+vLw88rhkZNinn35KVppA5HEW2GwsSl5eXnBwsLlL0efwTBkhhCzIoDhTDg4OxhPAHlEUtWrVqgULFpi7IBYhIyMjNjYWm41FGSQXLnimjBBCFgSDMkIIWRAMygghZEEwKCOEkAXBoNwDOzs77nN/rKysHB0d5XL5e++9V1BQYO7SIUvx22+/zZ07t76+vrq6mm0tgYGB3PWQAIC7laKoCRMmmKvAhp06dcrPz6/LxW4ePny4d+/e8PDwoUOHisXikSNHLlq0qPPaK21tbQcOHHj55ZednJwcHR2DgoL27NnDXXFx3bp15KHVSA8G5R40NjZevXoVAObNm8cwTGtra0lJyccff1xSUjJhwoQlS5Y8evTI3GVEZlZYWDhhwoTIyEipVOrs7MwwDFl7sLCwMDExkZuTbFWpVGTlkcuXL5upyN26e/fu3Llzk5KSyMqtna1Zs2blypXz5s0rLi6uqak5ePBgYWFhUFBQZmYmN9uSJUvi4uKmT59+8+bNO3fuxMbGrly58rXXXmMzLF26NCkpadOmTX37eQYicz5hv18Yv1oBNyhzffjhhwAwd+5c7mJOAxf048ojEonklVdeseT98195pK6ubvjw4Xorj+Tn54tEIicnJwDovFQSG5Qt0Ouvv75jx47W1laZTDZkyJDOGd55551ly5ZxU8g6eyNHjmRTyJp+gYGB3GwzZswAgJ9//pn7Roqi+Lc6XHkE9eDvf//7pEmTjh8//u2335q7LMhskpOT1Wr15s2b9dJtbGzS09OtrKzi4+Nv3bpllrL1woEDB9atW2dgld60tDS9tV/lcrlYLL579y7zn0fL/v777wAwevRobjZ/f38A4K5HLpfL58+f/8EHHzx/K7UbA4Ny71EUtWLFCgDQWzEeDR4Mw6SlpU2aNMnDw6PzVoVCsXHjxoaGhpiYGL3OZYslFouf9S1NTU3Nzc1jx46lKIqk+Pv7C4XCkpISbraSkhKKosaNG8dNjI6Ovn///smTJ40p83MGg7JRpk6dCgB5eXmtra0kpaqqKiEhYcSIEdbW1sOGDVMqleTiDgAyMzPZEZ5ff/01NjbWwcHByclp9uzZ3CXcW1paNm/e7O/vT5a7njNnzvHjx9vb29kMBg7RD8iSyT4+PtbW1o6OjjNnzrxw4QLZtHXrVvLpSLUAwJkzZ0iKs7MzSSHLjjQ1NV26dIlsIidlJJ2iqOHDh+fn50dERNjb29va2oaFhV26dMn4/feRoqIijUYjl8u7y/DRRx9FRkZeu3Zt5cqVBvZjoFZ5NhswX8Mg9z1u2LCBTXF1dd21a1dRUdH69eurqqpqa2uTk5PPnz+/efNmPz8/7nvHjx8PAD/++GM/lHPAMHf/SZ/ruz5lhmGam5tJNVZUVDAMU1FR8eKLL7q6up48ebKhoeH69euhoaE2Njbche7nzZtH9pabm9vY2Hju3DmxWDxx4kQ2Q1xcHE3TZ8+effTokVqtJot0XLhwgWzlc4jeAR59ypWVlV5eXq6urllZWXV1daWlpUqlkqKo1NRUNk/n/tygoCC9LtTu+nzlcrlEIpk8eTKpnPz8/Jdeesna2vrixYsm2X9YWNjQoUNVKpXhj8nw7lM+dOgQAGzfvl0vPT8/n6Zp8ndVVZWnpycAHD58mKTo9SnzqdUem43JG0Z3fcp61Gq1q6trl4tkZ2RkDB8+nPxAnJ2dDxw40DlPXV0dAISEhPAp0iDpU8ag3DMDQZmdekGC8ptvvgkA6enpbIbKykqRSBQUFMSmkF9XVlYWt4QAUFVVRV56eXlNmTKFexQ/Pz82KPM5RO/wCcpvvfUWAHDXhNfpdB4eHmKxWK1WkxQjgzIAXL16lU25du0aAMjlcgPv5b//0NBQR0dHPnGKZ1BOTk4GgJSUFL10blBmGEalUgmFQolEcvPmTaZTUOZTqz02G5M3DD5Bubq6evz48bGxsW1tbdz0jo6OpUuXCoXC3bt3q9Xqqqqqffv2icXi2NjY1tZWvZ1QFOXr68unSIMkKGP3hVEqKysBQCgUksvnzMxMKyur2bNnsxnc3NwCAgIKCgrIoyBZEydOZP8mp1EVFRXkZVRUVG5u7rJly/Ly8kivRWlp6bRp08hW/ofoC8eOHQOAWbNmsSkikSgiIqK5udlUV6ASiYRc0hLjxo3z8PAoKioiVW2kixcv1tbWTp482fhdEaSnWCgUGs4WHBy8a9eupqammJgY9uqKxb9WDTSb/m8YTU1NCoVizJgx6enpQ4YM4W46dOhQamrqu+++u2rVKldXV2dn52XLlpGJyXv27NHbj0Ag6FwngxkGZaPk5OQAwOTJk4VCYUtLS11dXUdHB03T3BsErly5AgC3b9/mvpGmafZva2trAOjo6CAvU1JSvv7667KysoiICKlUGhUVRX60APBMhzA5cnQbGxt7e3tuuqurKwCo1WqTHMXBwUEvxcXFBQAePHhgkv2blo2NDQCwIwoGJCQkxMbGXr9+nQwOs56pVrtrNv3fMNra2mJiYmQy2VdffaUXkQHgzJkzADB9+nRuYkREBACcPn268656Mbr4HMOg3HsdHR0pKSkA8P777wOASCRycHAQCASdL9AYhgkLC+O5W4qiFi9efP78ea1Wm5mZyTCMUqncvXu3CQ/ROyKRiKZpnU7X0NDATSd3Gbi5uZGXVlZW3Bu3AECr1ertih2m76ympoZ5etFuEo5JaDZ+/6bl7u4OAKRjtEdpaWmjRo06ePAg6YkmeNaqYf3fMOLj41taWjIyMthxVF9f37y8PPJ3U1NTd29sbGzkvqyvr2cYhlQjIjAo915SUtLPP/8cHR3NPuZVqVS2tbWxswWInTt3vvDCC/xnYjo4OJC5REKhcMaMGWTwnZ0zZJJD9Fp0dDQAcCcwtbS0ZGdni8VihUJBUtzd3cvLy9kMarWaOzWVsLW1ZQPrqFGj9u/fz27S6XTkdjjil19+qaiokMvl7O/WyP2b1tixY+E/y5T0yM7O7vvvv5dIJHpzKPnUao/6s2Fs2bLlxo0bP/zwg0gk6jLDpEmTACA7O5ub+NNPPwGA3tIh5Ksk1YieMHEfteUx7UBfe3u7RqPJzMwMDw8HgLfffvvRo0dsTo1G4+Pj4+3tferUKa1WW1NTs3fvXltbW+4AGhmxaW5uZlPWrl0LnNEtmqZDQ0OLiop0Op1Go9myZQsAbN26lf8hegeecfZFfX09O09g//79bB5yef7FF180NDTcuXNnwYIFMplMbyAuKiqKpul79+7l5uYKBILi4mKSLpfLaZqOiIgwMPvCmP2bfPZFR0eHi4tL50FFvYE+rsOHDwNAd7MvuqvVHpsNn4axaNEiACgrK+vxczHdD/T94x//6C6YsBX78OHDkSNHCoXCzz//XKPRVFdXp6Wl2draymQyMiTOOnLkCAAcO3aMT5EGyUAfBuUeSCQSbrOjKIqm6XHjxi1fvrygoKBzfjLh1NvbWygUDhs2LDIy8ty5c2STSqXi7mrDhg3M09fps2bNYhimsLAwPj5+9OjRZJ5ycHBwamoq905uA4cwBp+gzDBMdXV1YmKil5eXUCikaVqhUGRnZ3MzaLXauLg4d3d3sVg8derU/Pz8oKAg8gHXrl1L8pSUlISEhEgkEk9PT+7UBblcLpPJiouLFQqFvb29WCwODQ3Nyckx+hlb8wAAHQVJREFU1f5DQkJMO/uCYZj169cLBILy8nLysqqqivuddjn5Yfny5Xr/RQzUKs9mw/BoGOHh4XZ2dnozJfRkZWV1jrbcyXncAcnugjLDMLW1tWvWrPH39xeJRNbW1j4+PitWrGAnk7BIx/Tjx48N1vETGJSfE4PkizQez6Dcp0hQNm8ZCP5BWavVymQyvWdfWKCHDx+KxeIuJxSbC3n2BXcuoGGD5LeMfcoIGYWm6aysrKNHj5JRX8vEMExCQoJUKv3kk0/MXZYnysrKlEplUlLSwoULzV0Wy4JBGSFjBQYGXr58+fTp0/X19eYuS9c0Gk1ZWVl2djbP6Rz9YN++fdu2bdu2bZu5C2JxMCgji0CeWVFUVFReXk5R1MaNG81domczYsSIEydOSKVScxeka25ubjk5OQEBAeYuyB927tyJ58hd6sNntSDE3+rVq8lTPhAa5PBMGSGELAgGZYQQsiAYlBFCyIJgUEYIIQuCQRkhhCyJue9e6XPkWeAIoefAYLijj2Kevo/++aNSqcjauug59umnnwLAqlWrzF0Q1Lc8PT1NuEaBZXr+gzIaDBYsWAAAGRkZ5i4IQsbCPmWEELIgGJQRQsiCYFBGCCELgkEZIYQsCAZlhBCyIBiUEULIgmBQRgghC4JBGSGELAgGZYQQsiAYlBFCyIJgUEYIIQuCQRkhhCwIBmWEELIgGJQRQsiCYFBGCCELgkEZIYQsCAZlhBCyIBiUEULIgmBQRgghC4JBGSGELAgGZYQQsiAYlBFCyIJgUEYIIQuCQRkhhCwIBmWEELIgGJQRQsiCYFBGCCELgkEZIYQsCAZlhBCyIBiUEULIgmBQRgghC0IxDGPuMiD0zNLT0w8cONDR0UFeFhcXA8CYMWPISysrq3feeWfRokVmKx9CvYVBGQ1IRUVF48ePN5ChsLBQLpf3W3kQMhUMymig8vf3Ly0t7XKTr6/v7du3+7k8CJkE9imjgWrx4sVCobBzulAoXLJkSf+XByGTwDNlNFCVlZX5+vp22YBv377t6+vb/0VCyHh4powGKm9v78DAQIqiuIkURQUFBWFERgMXBmU0gP3lL38ZMmQIN2XIkCF/+ctfzFUehIyH3RdoAHvw4IG7uzs7MQ4ArKysysvL3dzczFgqhIyBZ8poAHNxcfmv//ov9mR5yJAhoaGhGJHRgIZBGQ1sixcvNvASoQEHuy/QwFZfX+/s7Nza2goAQqHwwYMHDg4O5i4UQr2HZ8poYJNKpTNnzhQIBAKB4M9//jNGZDTQYVBGA94bb7zR3t7e3t6OD7tAzwHsvkADnk6nc3Z27ujoqKmpEYvF5i4OQkYRmLsACBnLxsZGqVQCAEZk9Bx4/s+Ud+/erVKpzF0K1LfUajVFUa6uruYuCOpbkydP/tvf/mbuUvSt579PWaVS5eXlmbsUA8DRo0fv379v7lL0kqurq4uLiwl3eP/+/aNHj5pwh8h4eXl5g+EEa1B0XwQHB3/33XfmLoWloyhq1apVCxYsMHdBLEJGRkZsbCw2G4sSExNj7iL0h+f/TBkhhAYQDMoIIWRBMCgjhJAFwaCMEEIWBINy17799luKoiiKsrGxMXdZnsHUqVOpThITE81druffb7/9Nnfu3Pr6+urqarbmAwMDdTodNxt3K0VREyZMMFeBDTt16pSfn59A0MVEgIcPH+7duzc8PHzo0KFisXjkyJGLFi0qKirSy9bW1nbgwIGXX37ZycnJ0dExKChoz549jx8/ZjOsW7fun//8Z99+jIEJg3LXFi5cyDBMRESEuQti6RobG0eOHDl79mxzF8ScCgsLJ0yYEBkZKZVKnZ2dGYbJz88n6Xr/EclWlUrl5OTEMMzly5fNVORu3b17d+7cuUlJSRqNpssMa9asWbly5bx584qLi2tqag4ePFhYWBgUFJSZmcnNtmTJkri4uOnTp9+8efPOnTuxsbErV6587bXX2AxLly5NSkratGlT336eAQiD8vMmPz+fedpnn33Wd4djGKajo4P7mPl+ZmdnN3XqVHMdHQDq6+vnzJnz2muvrVixgpsuEomcnJz27dv3zTffmKtsvbBp06YpU6YUFBTY29t3l+ftt9/+61//6ubmZmtrGxIScuTIkfb29g8//JDNUFZWdvjw4cDAwO3bt7u4uDg5OX344YczZsw4ceIE+XcFAD4+PseOHdu2bVtGRkaff6oBBYMyMoq9vf3du3dPnTpl7oKYTXJyslqt3rx5s166jY1Nenq6lZVVfHz8rVu3zFK2Xjhw4MC6deu67Lgg0tLS9u3bx02Ry+Visfju3bvs7cG///47AIwePZqbzd/fHwDu3bvHfeP8+fM/+OCDtrY2E36EgQ6DMkK9xzBMWlrapEmTPDw8Om9VKBQbN25saGiIiYnR61y2WL14fkhTU1Nzc/PYsWPZRWz9/f2FQmFJSQk3W0lJCUVR48aN4yZGR0ffv3//5MmTxpT5OYNB+Q8lJSWvvvoqTdMSiSQkJCQnJ6dznqqqqoSEhBEjRlhbWw8bNkypVBYWFpJNmZmZ7ADOr7/+Ghsb6+Dg4OTkNHv27Lt377J7aGlp2bx5s7+/v62t7dChQ+fMmXP8+PH29nY+h+Dj0KFD48ePl0gkNE2TS8ve1kfPuB+ZBB0+lbBr1y6SYfjw4fn5+REREfb29ra2tmFhYZcuXSJ5tm7dSvKwXRNnzpwhKc7Oztz9NDU1Xbp0iWwycH7XR4qKijQajVwu7y7DRx99FBkZee3atZUrVxrYT01Nzd/+9jcfHx9ra2tHR8eZM2deuHCBbOLZrsDoltNr5L7HDRs2sCmurq67du0qKipav359VVVVbW1tcnLy+fPnN2/e7Ofnx33v+PHjAeDHH3/sh3IOGMzzbv78+fPnz+8x2+3btx0cHGQy2dmzZxsaGq5duxYZGTlixAiRSMTmqaioePHFF11dXU+ePNnQ0HD9+vXQ0FAbG5vc3Fw2z7x58wBg3rx5ubm5jY2N586dE4vFEydOZDPExcXRNH327NlHjx6p1erVq1cDwIULF/gfwoBXXnll8eLFBQUFjY2NJSUlZG2klStX8nkvAPzzn//kk1MP+cjNzc16KQYqgWEYuVwukUgmT55M8uTn57/00kvW1tYXL15k80gkkldeeYX7rqCgIDJEZiAPERYWNnToUJVK1YtPxDAMmRjQY7ZDhw4BwPbt2/XS8/PzaZomf1dVVXl6egLA4cOHSQo70EdUVlZ6eXm5urpmZWXV1dWVlpYqlUqKolJTU9k8PVapkS2nM5lMNmTIkB6zqdVqV1fXuLi4zpsyMjKGDx9O4oyzs/OBAwc656mrqwOAkJAQPkXi+Vse6DAoP0Fuqz969CibUl5eLhKJuEH5zTffBID09HQ2pbKyUiQSBQUFsSnkx5OVlcUtAABUVVWRl15eXlOmTOEe2s/Pjw3KfA7xTF5++WUAyMvL6zGnyYOygUpgGIacXV69epVNuXbtGgDI5XI2xZigHBoa6ujo2OuQxDMoJycnA0BKSopeOjcoMwyjUqmEQqFEIrl58ybTKSi/9dZbAPDNN9+wKTqdzsPDQywWq9VqktJjlZq85fAJytXV1ePHj4+NjW1ra+Omd3R0LF26VCgU7t69W61WV1VV7du3TywWx8bGtra26u2EoihfX18+RRokQRm7L544c+YMACgUCjbFw8ND71IrMzPTysqKO/3Lzc0tICCgoKBA7/lqEydOZP8mZ0kVFRXkZVRUVG5u7rJly/Ly8kivRWlp6bRp0571EDyRn25WVlYv3mskA5VASCQScvVKjBs3zsPDo6ioqLKy0vijX7x4sba2dvLkycbvygDSaSMUCg1nCw4O3rVrV1NTU0xMTHNzs97WY8eOAcCsWbPYFJFIFBER0dzcrHddb6BKTd5yetTU1KRQKMaMGZOens4uKE4cOnQoNTX13XffXbVqlaurq7Oz87Jly8jE5D179ujtRyAQdK6TwQyDMgBAS0tLQ0ODjY2NnZ0dN537NMiWlpa6urqOjg6aprnz/69cuQIAt2/f5r6Rpmn2b2trawBgJ42lpKR8/fXXZWVlERERUqk0KiqK/Caf9RA8ubu7A8CDBw968V4jGagEovN6eqTCzVLa3iH3FpFlWw1LSEiIjY29fv263sw58qXb2NjoTUEjz4ZWq9XcxO6qtC9ajmFtbW0xMTEymeyrr77Si8jwn1Oc6dOncxPJrP/Tp0933hWuTsCFQRkAQCQS2dvb63S6xsZGbnptbS03j4ODg0Ag6Hz9xTBMWFgYz2NRFLV48eLz589rtdrMzEyGYZRK5e7du014CC5yJmXaZw2bSk1NDfP0GgskHLOltbKy4t4DBgBarVZvJ+yIv1mQ/3mkY7RHaWlpo0aNOnjwIOmJJkQiEU3TOp2uoaGBm5ncu+Hm5sZnz33RcgyLj49vaWnJyMhgB1d9fX3ZB5c3NTV190a9n1h9fT3DMKQaEYFB+YmZM2fCf/7DE9XV1aWlpdw8SqWyra2NnSFA7Ny584UXXuA/0dLBwYFMFRIKhTNmzCBj6+yUIGMOkZaWFhQUxE1hGIbMzJ8zZw7P4vUnnU7H3koAAL/88ktFRYVcLmd/ou7u7uXl5WwGtVrNneVK2NrasoF71KhR+/fv7+NSP2Xs2LEAwLN/wM7O7vvvv5dIJF9++SU3PTo6GgC408JaWlqys7PFYjG3P80wkzROnrZs2XLjxo0ffvhBJBJ1mWHSpEkAkJ2dzU386aefACA4OJibSL5fUo3oCdN2UVsgnoMDd+7cGTp0KDv74saNGwqFwsXFhTvQp9FofHx8vL29T506pdVqa2pq9u7da2tryx0f6zzqtXbtWuCMaNE0HRoaWlRUpNPpNBrNli1bAGDr1q38D9Gd1NRUAHjvvfdu377d3NxcUlJCVnc21+wLA5XAMIxcLqdpOiIiwsDsC3Kl/8UXXzQ0NNy5c2fBggUymUxvoC8qKoqm6Xv37uXm5goEguLiYpLeP7MvOjo6XFxcOo806g30cR0+fBgAupt9UV9fz86+2L9/P5unxyrl03JIeygrK+NRAd0O9P3jH//oLpiwtf3w4cORI0cKhcLPP/9co9FUV1enpaXZ2trKZLKKigru3siUzWPHjvEp0iAZ6MOg/IfS0tJXX31VKpWSyUYnTpxgn33xzjvvkDxkPqm3t7dQKBw2bFhkZOS5c+fIJr2FajZs2MA8fW0+a9YshmEKCwvj4+NHjx5N5ikHBwenpqZ2dHSwxTBwCMN0Ot13330XHR3t4+NDLoqnTZt25MgRnhXVi6DM9oYTixYt4lkJDMPI5XKZTFZcXKxQKOzt7cVicWhoaE5ODnf/Wq02Li7O3d1dLBZPnTo1Pz+fvRRYu3YtyVNSUhISEiKRSDw9PbmzIEJCQvph9gXDMOvXrxcIBOXl5eRlVVUV9/N2Oflh+fLlev9aqqurExMTvby8hEIhTdMKhSI7O5ts4l+lPbac8PBwOzs7vZkSerocE+ZOzuMOSOrh/gusra1ds2aNv7+/SCSytrb28fFZsWIFO5mERTqmHz9+bLCOn8Cg/JwYJF+k8XoRlI1BgnK/He5Z8Q/KWq1WJpPFx8f3dZGM9PDhQ7FY3OWEYnMpLCykKIo7F9CwQfJbxj5lhIxC03RWVtbRo0dTUlLMXZZuMQyTkJAglUo/+eQTc5flibKyMqVSmZSUtHDhQnOXxbJgUEbIWIGBgZcvXz59+nR9fb25y9I1jUZTVlaWnZ3NczpHP9i3b9+2bdu2bdtm7oJYHAzKA0nnB9izyIDhgECeWVFUVFReXk5R1MaNG81dIhMYMWLEiRMnpFKpuQvSNTc3t5ycnICAAHMX5A87d+7Ec+Qu9fcDXJAxmKdHeAao1atXkyd+IIQ6wzNlhBCyIBiUEULIgmBQRgghC4JBGSGELAgGZYQQsiTmvnulz5EHCiOEngOD4Y6+QTElLjg4eNWqVeYuhaWLjY1NTEzs66fCDxQqleqzzz4jN1sjC/Hpp5+auwj9YVAE5eHDhy9YsMDcpbB0sbGxkydPxopiffbZZ1gbFoWs0Prcwz5lhBCyIBiUEULIgmBQRgghC4JBGSGELAgG5R7Y2dlxH8ZmZWXl6Ogol8vfe++9goICc5cOWYrffvtt7ty59fX11dXVbGsJDAzU6XTcbNytFEVNmDDBXAU27NSpU35+fuyiqJ0VFhbOmjXLwcHB3t5++vTpemsD8smzbt06nNzSJQzKPWhsbLx69SoAzJs3j2GY1tbWkpKSjz/+uKSkZMKECUuWLHn06JG5y4jMrLCwcMKECZGRkVKp1NnZmWEYsiBsYWFhYmIiNyfZqlKpyHJQly9fNlORu3X37t25c+cmJSWR5bS79K9//WvKlCn29vY3b97897//7e3tPW3atLNnzz5TnqVLlyYlJW3atKkPP8wAZd5p0v3A+CVkuEGZ68MPPwSAuXPnclfYG7igH5eDkkgknRcbtaj9818Oqq6ubvjw4XrLQeXn54tEIicnJwDovEwiG5Qt0Ouvv75jx47W1tbuFk5tb28PCAhwd3d/9OgRSWlraxs1apSnp6dOp+Ofh/nPclD8Wx0uB4V68Pe//33SpEnHjx//9ttvzV0WZDbJyclqtXrz5s166TY2Nunp6VZWVvHx8bdu3TJL2XrhwIED69atM9Bx8X//9383btyYP3++WCwmKUOGDHn99dd///33EydO8M8DAHK5fP78+R988EFbW1uffaCBB4Ny71EUtWLFCgD48ssvzV0WZB4Mw6SlpU2aNMnDw6PzVoVCsXHjxoaGhpiYGL3OZYvFhtHu/PTTTwCg1xtOXmZnZ/PPQ0RHR9+/f//kyZPGlvs5gkHZKFOnTgWAvLy81tZWklJVVZWQkDBixAhra+thw4YplcrCwkKyKTMzkx3h+fXXX2NjYx0cHJycnGbPnn337l12ny0tLZs3b/b397e1tR06dOicOXOOHz/e3t7OZjBwiH5A1rH38fGxtrZ2dHScOXPmhQsXyKatW7eST0eqBQDOnDlDUpydnUkKWQuqqanp0qVLZBM5KSPpFEUNHz48Pz8/IiLC3t7e1tY2LCyMHSAyZv99pKioSKPRyOXy7jJ89NFHkZGR165dW7lypYH9GKhVns0G+qthlJSUAMDw4cO5iTKZDADYCwI+eYjx48cDwI8//mjycg5g5u4/6XN916fMMExzczOpxoqKCoZhKioqXnzxRVdX15MnTzY0NFy/fj00NNTGxiY3N5d9y7x588jecnNzGxsbz507JxaLJ06cyGaIi4ujafrs2bOPHj1Sq9Vk5aQLFy6QrXwO0TvAo0+5srLSy8vL1dU1Kyurrq6utLRUqVRSFJWamsrm6dyfGxQUpNeF2l2fr1wul0gkkydPJpWTn5//0ksvWVtbX7x40ST7DwsLGzp0qEqlMvwxGd59yocOHQKA7du366Xn5+fTNE3+rqqq8vT0BIDDhw+TFL0+ZT612mOzMXnD6K5PecaMGQCQl5fHTbx9+zYA/OlPf+Kfh6irqwOAkJAQPkUaJH3KGJR7ZiAos1MvSFB+8803ASA9PZ3NUFlZKRKJgoKC2BTy68rKyuKWEACqqqrISy8vrylTpnCP4ufnxwZlPofoHT5B+a233gKAb775hk3R6XQeHh5isVitVpMUI4MyAFy9epVNuXbtGgDI5XID7+W//9DQUEdHRz5ximdQTk5OBoCUlBS9dG5QZhhGpVIJhUKJRHLz5k2mU1DmU6s9NhuTN4xnCsrk/Jc9Fp88LIqifH19+RRpkARl7L4wSmVlJQAIhUJy+ZyZmWllZTV79mw2g5ubW0BAQEFBwf3797lvnDhxIvs3OY2qqKggL6OionJzc5ctW5aXl0d6LUpLS6dNm0a28j9EXzh27BgAzJo1i00RiUQRERHNzc2mugKVSCTkkpYYN26ch4dHUVERqWojXbx4sba21oRPwiM9xUKh0HC24ODgXbt2NTU1xcTEsFdXLP61aqDZ9FvDcHBwAICmpiZuInlJNvHMwxIIBJ3rZDDDoGyUnJwcAJg8ebJQKGxpaamrq+vo6KBpmnuDwJUrVwCAXLuxaJpm/7a2tgaAjo4O8jIlJeXrr78uKyuLiIiQSqVRUVHkRwsAz3QIkyNHt7Gxsbe356a7uroCgFqtNslROv9oXVxcAODBgwcm2b9p2djYAAA7omBAQkJCbGzs9evXyeAw65lqtbtm058Nw9/fHwD0An15eTkA+Pn58c/Damtr63F0cVDBoNx7HR0dKSkpAPD+++8DgEgkcnBwEAgEra2tnS9JwsLCeO6WoqjFixefP39eq9VmZmYyDKNUKnfv3m3CQ/SOSCSiaVqn0zU0NHDTyV0Gbm5u5KWVldXjx4+5GbRard6uKIrq7ig1NTUMw3BTSDgmodn4/ZuWu7s7AJCO0R6lpaWNGjXq4MGDpCea4FmrhvVnwyB707udlbyMiIjgn4eor69nGIZUIyIwKPdeUlLSzz//HB0dHRMTQ1KUSmVbW5ve7aQ7d+584YUX+M/EdHBwIIPXQqFwxowZZPCdnTNkkkP0WnR0NABwJzC1tLRkZ2eLxWKFQkFS3N3dyTkRoVar7927p7cfW1tbNrCOGjVq//797CadTkduhyN++eWXiooKuVzO/m6N3L9pjR07FjqdEnbHzs7u+++/l0gkenMo+dRqj/qtYYSGho4ZM+bo0aPsJL/29vZvv/3W09OT7YHhk4cgXyWpRvSEifuoLY9pB/ra29s1Gk1mZmZ4eDgAvP322+w9SwzDaDQaHx8fb2/vU6dOabXampqavXv32tracgfQyIhNc3Mzm7J27VrgjG7RNB0aGlpUVKTT6TQazZYtWwBg69at/A/RO/CMsy/q6+vZeQL79+9n85DL8y+++KKhoeHOnTsLFiyQyWR6A3FRUVE0Td+7dy83N1cgEBQXF5N0uVxO03RERISB2RfG7N/ksy86OjpcXFw6DyrqDfRxHT58GAC6m33RXa322Gz4NIxFixYBQFlZWY+fi+l+oI9hGJVKZWNjs3DhwsrKyurq6vj4eIFAcObMmWfNwzDMkSNHAODYsWN8ijRIBvowKPdAIpFw/4dRFEXT9Lhx45YvX15QUNA5P5lw6u3tLRQKhw0bFhkZee7cObJJpVJxd7Vhwwbm6ev0WbNmMQxTWFgYHx8/evRoMk85ODg4NTWVeye3gUMYg09QZhimuro6MTHRy8tLKBTSNK1QKLKzs7kZtFptXFycu7u7WCyeOnVqfn5+UFAQ+YBr164leUpKSkJCQiQSiaenJ3fqglwul8lkxcXFCoXC3t5eLBaHhobm5OSYav8hISGmnX3BMMz69esFAkF5eTl5WVVVxf1Ou5z8sHz5cr3/IgZqlWezYXg0jPDwcDs7u7a2NgMfJysrq/OpG3dyHnHlypWZM2dKpVI7O7vw8HC974h/npiYGJlM9vjxYwNFYmFQfk4Mki/SeDyDcp8iQdm8ZSD4B2WtViuTyfSefWGBHj58KBaL4+LizF2QP5BnX3DnAho2SH7L2KeMkFFoms7Kyjp69CgZ9bVMDMMkJCRIpdJPPvnE3GV5oqysTKlUJiUlLVy40NxlsSwYlBEyVmBg4OXLl0+fPl1fX2/usnRNo9GUlZVlZ2fznM7RD/bt27dt27Zt27aZuyAWB4MysgjkmRVFRUXl5eUURW3cuNHcJXo2I0aMOHHihFQqNXdBuubm5paTkxMQEGDugvxh586deI7cpT58VgtC/K1evZo85QOhQQ7PlBFCyIJgUEYIIQuCQRkhhCwIBmWEELIgg2Kg7/79+xkZGeYuxQCgd/PYYEaqApuNRbl//77eaibPJ3PfvdLnyLPAEULPgcFwRx/FPH0fPUIIITPCPmWEELIgGJQRQsiCYFBGCCELgkEZIYQsyP8DV+XXvqFo3xoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# display and plot model\n",
    "model = create_model(0)\n",
    "print(model.summary())\n",
    "plot_model(model, to_file='model_plot.png', show_shapes=True, show_layer_names=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b2fd0511",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:18:57.106432Z",
     "iopub.status.busy": "2023-04-22T23:18:57.106051Z",
     "iopub.status.idle": "2023-04-22T23:18:57.111050Z",
     "shell.execute_reply": "2023-04-22T23:18:57.110007Z"
    },
    "papermill": {
     "duration": 0.026679,
     "end_time": "2023-04-22T23:18:57.113186",
     "exception": false,
     "start_time": "2023-04-22T23:18:57.086507",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# define number of epochs\n",
    "epochs = 20"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "286196ed",
   "metadata": {
    "papermill": {
     "duration": 0.016328,
     "end_time": "2023-04-22T23:18:57.145776",
     "exception": false,
     "start_time": "2023-04-22T23:18:57.129448",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# 2.1 Model 1 (Batch Size = 128, Dropout = 0, Optimizer = Adam)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "010cbc67",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:18:57.180387Z",
     "iopub.status.busy": "2023-04-22T23:18:57.179555Z",
     "iopub.status.idle": "2023-04-22T23:19:02.002494Z",
     "shell.execute_reply": "2023-04-22T23:19:02.001509Z"
    },
    "papermill": {
     "duration": 4.842803,
     "end_time": "2023-04-22T23:19:02.005012",
     "exception": false,
     "start_time": "2023-04-22T23:18:57.162209",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# define parameters and generate model\n",
    "batch_size = 128\n",
    "dropout = 0\n",
    "optimizer = 'Adam'\n",
    "\n",
    "model_1 = create_model(dropout)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c263f1a8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:19:02.041905Z",
     "iopub.status.busy": "2023-04-22T23:19:02.041030Z",
     "iopub.status.idle": "2023-04-22T23:19:02.068642Z",
     "shell.execute_reply": "2023-04-22T23:19:02.067730Z"
    },
    "papermill": {
     "duration": 0.047619,
     "end_time": "2023-04-22T23:19:02.070772",
     "exception": false,
     "start_time": "2023-04-22T23:19:02.023153",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# compile model\n",
    "model_1.compile(loss='categorical_crossentropy', optimizer=optimizer, metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "69480694",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:19:02.106250Z",
     "iopub.status.busy": "2023-04-22T23:19:02.105934Z",
     "iopub.status.idle": "2023-04-22T23:36:16.260358Z",
     "shell.execute_reply": "2023-04-22T23:36:16.258976Z"
    },
    "papermill": {
     "duration": 1034.175491,
     "end_time": "2023-04-22T23:36:16.262964",
     "exception": false,
     "start_time": "2023-04-22T23:19:02.087473",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "333/333 [==============================] - 156s 148ms/step - loss: 4.4916 - accuracy: 0.0173 - val_loss: 4.3898 - val_accuracy: 0.0211\n",
      "Epoch 2/20\n",
      "333/333 [==============================] - 46s 138ms/step - loss: 4.2270 - accuracy: 0.0321 - val_loss: 4.2077 - val_accuracy: 0.0355\n",
      "Epoch 3/20\n",
      "333/333 [==============================] - 45s 136ms/step - loss: 4.0876 - accuracy: 0.0438 - val_loss: 4.2158 - val_accuracy: 0.0369\n",
      "Epoch 4/20\n",
      "333/333 [==============================] - 46s 137ms/step - loss: 3.9373 - accuracy: 0.0598 - val_loss: 4.0681 - val_accuracy: 0.0497\n",
      "Epoch 5/20\n",
      "333/333 [==============================] - 46s 137ms/step - loss: 3.8191 - accuracy: 0.0744 - val_loss: 4.1821 - val_accuracy: 0.0669\n",
      "Epoch 6/20\n",
      "333/333 [==============================] - 46s 137ms/step - loss: 3.6707 - accuracy: 0.0970 - val_loss: 4.1143 - val_accuracy: 0.0808\n",
      "Epoch 7/20\n",
      "333/333 [==============================] - 45s 136ms/step - loss: 3.5261 - accuracy: 0.1201 - val_loss: 3.6865 - val_accuracy: 0.1148\n",
      "Epoch 8/20\n",
      "333/333 [==============================] - 45s 134ms/step - loss: 3.3842 - accuracy: 0.1420 - val_loss: 3.7124 - val_accuracy: 0.1193\n",
      "Epoch 9/20\n",
      "333/333 [==============================] - 45s 134ms/step - loss: 3.2728 - accuracy: 0.1674 - val_loss: 3.9786 - val_accuracy: 0.1175\n",
      "Epoch 10/20\n",
      "333/333 [==============================] - 45s 134ms/step - loss: 3.1261 - accuracy: 0.1970 - val_loss: 3.7276 - val_accuracy: 0.1745\n",
      "Epoch 11/20\n",
      "333/333 [==============================] - 45s 134ms/step - loss: 2.9740 - accuracy: 0.2290 - val_loss: 3.4260 - val_accuracy: 0.1877\n",
      "Epoch 12/20\n",
      "333/333 [==============================] - 45s 135ms/step - loss: 2.8305 - accuracy: 0.2592 - val_loss: 3.3955 - val_accuracy: 0.2173\n",
      "Epoch 13/20\n",
      "333/333 [==============================] - 45s 135ms/step - loss: 2.7170 - accuracy: 0.2854 - val_loss: 6.7993 - val_accuracy: 0.2076\n",
      "Epoch 14/20\n",
      "333/333 [==============================] - 46s 137ms/step - loss: 2.5845 - accuracy: 0.3071 - val_loss: 3.1814 - val_accuracy: 0.2333\n",
      "Epoch 15/20\n",
      "333/333 [==============================] - 45s 137ms/step - loss: 2.4627 - accuracy: 0.3356 - val_loss: 3.1095 - val_accuracy: 0.2561\n",
      "Epoch 16/20\n",
      "333/333 [==============================] - 45s 137ms/step - loss: 2.3235 - accuracy: 0.3615 - val_loss: 3.1285 - val_accuracy: 0.2608\n",
      "Epoch 17/20\n",
      "333/333 [==============================] - 45s 136ms/step - loss: 2.2463 - accuracy: 0.3816 - val_loss: 3.0848 - val_accuracy: 0.2705\n",
      "Epoch 18/20\n",
      "333/333 [==============================] - 45s 136ms/step - loss: 2.0733 - accuracy: 0.4170 - val_loss: 3.3032 - val_accuracy: 0.2507\n",
      "Epoch 19/20\n",
      "333/333 [==============================] - 45s 134ms/step - loss: 2.0142 - accuracy: 0.4318 - val_loss: 3.1742 - val_accuracy: 0.2839\n",
      "Epoch 20/20\n",
      "333/333 [==============================] - 45s 134ms/step - loss: 1.9125 - accuracy: 0.4612 - val_loss: 3.0263 - val_accuracy: 0.2941\n"
     ]
    }
   ],
   "source": [
    "# train model\n",
    "history_1 = model_1.fit(X_train, y_train, validation_split=0.15, \n",
    "            batch_size=batch_size, epochs=epochs, verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "3d41f71f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:36:17.048460Z",
     "iopub.status.busy": "2023-04-22T23:36:17.047719Z",
     "iopub.status.idle": "2023-04-22T23:36:27.691253Z",
     "shell.execute_reply": "2023-04-22T23:36:27.690144Z"
    },
    "papermill": {
     "duration": 11.01537,
     "end_time": "2023-04-22T23:36:27.693534",
     "exception": false,
     "start_time": "2023-04-22T23:36:16.678164",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Loss: 1.912483811378479\n",
      "Train Acc: 0.4612235426902771\n",
      "\n",
      "Test Loss: 2.9945080280303955\n",
      "Test Acc: 0.3041999936103821\n"
     ]
    }
   ],
   "source": [
    "# train model results\n",
    "print('Train Loss:', history_1.history['loss'][-1])\n",
    "print('Train Acc:', history_1.history['accuracy'][-1])\n",
    "\n",
    "\n",
    "# validation results\n",
    "val_loss, val_acc = model_1.evaluate(X_test, y_test, verbose=0)\n",
    "\n",
    "print('\\nTest Loss:', val_loss)\n",
    "print('Test Acc:', val_acc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "0d943950",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:36:28.466504Z",
     "iopub.status.busy": "2023-04-22T23:36:28.465463Z",
     "iopub.status.idle": "2023-04-22T23:36:28.898139Z",
     "shell.execute_reply": "2023-04-22T23:36:28.897182Z"
    },
    "papermill": {
     "duration": 0.845732,
     "end_time": "2023-04-22T23:36:28.900395",
     "exception": false,
     "start_time": "2023-04-22T23:36:28.054663",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Accuracy Plot\n",
    "plt.plot(history_1.history['accuracy'], label='Train Acc')\n",
    "plt.plot(history_1.history['val_accuracy'], label='Test Acc')\n",
    "plt.title('Model 1 Accuracy')\n",
    "plt.ylabel('Accuracy')\n",
    "plt.xlabel('Epochs')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "# Loss Plot\n",
    "plt.plot(history_1.history['loss'], label='Train Loss')\n",
    "plt.plot(history_1.history['val_loss'], label='Test Loss')\n",
    "plt.title('Model 1 Loss')\n",
    "plt.ylabel('Loss')\n",
    "plt.xlabel('Epochs')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ebf6ee9",
   "metadata": {
    "papermill": {
     "duration": 0.366286,
     "end_time": "2023-04-22T23:36:29.630659",
     "exception": false,
     "start_time": "2023-04-22T23:36:29.264373",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# 2.2 Model 2 (Batch Size = 64, Dropout = 0, Optimizer = Adam)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "5d5e86e0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:36:30.402829Z",
     "iopub.status.busy": "2023-04-22T23:36:30.402452Z",
     "iopub.status.idle": "2023-04-22T23:36:35.450367Z",
     "shell.execute_reply": "2023-04-22T23:36:35.449371Z"
    },
    "papermill": {
     "duration": 5.461754,
     "end_time": "2023-04-22T23:36:35.452802",
     "exception": false,
     "start_time": "2023-04-22T23:36:29.991048",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# define parameters and generate model\n",
    "batch_size = 64\n",
    "dropout = 0\n",
    "optimizer = 'Adam'\n",
    "\n",
    "model_2 = create_model(dropout)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "952f6dc6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:36:36.177502Z",
     "iopub.status.busy": "2023-04-22T23:36:36.177118Z",
     "iopub.status.idle": "2023-04-22T23:36:36.199641Z",
     "shell.execute_reply": "2023-04-22T23:36:36.198704Z"
    },
    "papermill": {
     "duration": 0.3868,
     "end_time": "2023-04-22T23:36:36.201861",
     "exception": false,
     "start_time": "2023-04-22T23:36:35.815061",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# compile model\n",
    "model_2.compile(loss='categorical_crossentropy', optimizer=optimizer, metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "89effc5c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:36:36.975021Z",
     "iopub.status.busy": "2023-04-22T23:36:36.974316Z",
     "iopub.status.idle": "2023-04-23T00:06:17.365245Z",
     "shell.execute_reply": "2023-04-23T00:06:17.364162Z"
    },
    "papermill": {
     "duration": 1780.803849,
     "end_time": "2023-04-23T00:06:17.367589",
     "exception": false,
     "start_time": "2023-04-22T23:36:36.563740",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "665/665 [==============================] - 181s 125ms/step - loss: 4.4830 - accuracy: 0.0185 - val_loss: 4.6441 - val_accuracy: 0.0191\n",
      "Epoch 2/20\n",
      "665/665 [==============================] - 85s 129ms/step - loss: 4.1762 - accuracy: 0.0375 - val_loss: 4.4054 - val_accuracy: 0.0420\n",
      "Epoch 3/20\n",
      "665/665 [==============================] - 86s 130ms/step - loss: 4.0173 - accuracy: 0.0543 - val_loss: 62.5831 - val_accuracy: 0.0244\n",
      "Epoch 4/20\n",
      "665/665 [==============================] - 87s 131ms/step - loss: 4.0090 - accuracy: 0.0592 - val_loss: 4.4957 - val_accuracy: 0.0471\n",
      "Epoch 5/20\n",
      "665/665 [==============================] - 86s 129ms/step - loss: 3.7971 - accuracy: 0.0882 - val_loss: 3.7983 - val_accuracy: 0.0975\n",
      "Epoch 6/20\n",
      "665/665 [==============================] - 82s 123ms/step - loss: 3.7633 - accuracy: 0.0976 - val_loss: 4.0952 - val_accuracy: 0.0811\n",
      "Epoch 7/20\n",
      "665/665 [==============================] - 84s 127ms/step - loss: 3.5320 - accuracy: 0.1296 - val_loss: 6.7182 - val_accuracy: 0.0087\n",
      "Epoch 8/20\n",
      "665/665 [==============================] - 85s 128ms/step - loss: 3.7021 - accuracy: 0.1116 - val_loss: 3.9047 - val_accuracy: 0.0848\n",
      "Epoch 9/20\n",
      "665/665 [==============================] - 84s 127ms/step - loss: 3.4597 - accuracy: 0.1430 - val_loss: 3.6053 - val_accuracy: 0.1376\n",
      "Epoch 10/20\n",
      "665/665 [==============================] - 83s 125ms/step - loss: 3.3808 - accuracy: 0.1565 - val_loss: 3.4235 - val_accuracy: 0.1601\n",
      "Epoch 11/20\n",
      "665/665 [==============================] - 83s 125ms/step - loss: 3.2343 - accuracy: 0.1838 - val_loss: 3.8495 - val_accuracy: 0.1323\n",
      "Epoch 12/20\n",
      "665/665 [==============================] - 82s 123ms/step - loss: 3.2835 - accuracy: 0.1782 - val_loss: 4.4428 - val_accuracy: 0.0525\n",
      "Epoch 13/20\n",
      "665/665 [==============================] - 81s 122ms/step - loss: 3.0484 - accuracy: 0.2184 - val_loss: 3.4927 - val_accuracy: 0.1481\n",
      "Epoch 14/20\n",
      "665/665 [==============================] - 84s 126ms/step - loss: 2.9617 - accuracy: 0.2376 - val_loss: 4.5555 - val_accuracy: 0.1021\n",
      "Epoch 15/20\n",
      "665/665 [==============================] - 84s 126ms/step - loss: 3.0813 - accuracy: 0.2228 - val_loss: 3.9522 - val_accuracy: 0.1415\n",
      "Epoch 16/20\n",
      "665/665 [==============================] - 84s 127ms/step - loss: 2.8095 - accuracy: 0.2691 - val_loss: 3.9523 - val_accuracy: 0.1111\n",
      "Epoch 17/20\n",
      "665/665 [==============================] - 84s 126ms/step - loss: 2.7221 - accuracy: 0.2900 - val_loss: 3.9662 - val_accuracy: 0.1291\n",
      "Epoch 18/20\n",
      "665/665 [==============================] - 84s 126ms/step - loss: 2.5621 - accuracy: 0.3200 - val_loss: 3.6260 - val_accuracy: 0.1427\n",
      "Epoch 19/20\n",
      "665/665 [==============================] - 84s 126ms/step - loss: 2.7522 - accuracy: 0.2889 - val_loss: 4.1579 - val_accuracy: 0.0800\n",
      "Epoch 20/20\n",
      "665/665 [==============================] - 85s 128ms/step - loss: 2.4042 - accuracy: 0.3534 - val_loss: 3.4645 - val_accuracy: 0.2315\n"
     ]
    }
   ],
   "source": [
    "# train model\n",
    "history_2 = model_2.fit(X_train, y_train, validation_split=0.15, \n",
    "            batch_size=batch_size, epochs=epochs, verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "7f24c662",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T00:06:19.616111Z",
     "iopub.status.busy": "2023-04-23T00:06:19.615054Z",
     "iopub.status.idle": "2023-04-23T00:06:29.790112Z",
     "shell.execute_reply": "2023-04-23T00:06:29.789010Z"
    },
    "papermill": {
     "duration": 11.307478,
     "end_time": "2023-04-23T00:06:29.792470",
     "exception": false,
     "start_time": "2023-04-23T00:06:18.484992",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Loss: 2.404222249984741\n",
      "Train Acc: 0.3533647060394287\n",
      "\n",
      "Test Loss: 3.4432199001312256\n",
      "Test Acc: 0.2281000018119812\n"
     ]
    }
   ],
   "source": [
    "# train model results\n",
    "print('Train Loss:', history_2.history['loss'][-1])\n",
    "print('Train Acc:', history_2.history['accuracy'][-1])\n",
    "\n",
    "\n",
    "# validation results\n",
    "val_loss, val_acc = model_2.evaluate(X_test, y_test, verbose=0)\n",
    "\n",
    "print('\\nTest Loss:', val_loss)\n",
    "print('Test Acc:', val_acc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "e2346906",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T00:06:32.098636Z",
     "iopub.status.busy": "2023-04-23T00:06:32.097594Z",
     "iopub.status.idle": "2023-04-23T00:06:33.260232Z",
     "shell.execute_reply": "2023-04-23T00:06:33.259253Z"
    },
    "papermill": {
     "duration": 2.304774,
     "end_time": "2023-04-23T00:06:33.262546",
     "exception": false,
     "start_time": "2023-04-23T00:06:30.957772",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Accuracy Plot\n",
    "plt.plot(history_2.history['accuracy'], label='Train Acc')\n",
    "plt.plot(history_2.history['val_accuracy'], label='Test Acc')\n",
    "plt.title('Model 2 Accuracy')\n",
    "plt.ylabel('Accuracy')\n",
    "plt.xlabel('Epochs')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "# Loss Plot\n",
    "plt.plot(history_2.history['loss'], label='Train Loss')\n",
    "plt.plot(history_2.history['val_loss'], label='Test Loss')\n",
    "plt.title('Model 2 Loss')\n",
    "plt.ylabel('Loss')\n",
    "plt.xlabel('Epochs')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "71868dd4",
   "metadata": {
    "papermill": {
     "duration": 1.152,
     "end_time": "2023-04-23T00:06:35.545363",
     "exception": false,
     "start_time": "2023-04-23T00:06:34.393363",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# 2.3 Model 3 (Batch Size = 64, Dropout = 0.4, Optimizer = Adam)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "c19123c0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T00:06:37.823170Z",
     "iopub.status.busy": "2023-04-23T00:06:37.822803Z",
     "iopub.status.idle": "2023-04-23T00:06:42.424462Z",
     "shell.execute_reply": "2023-04-23T00:06:42.423439Z"
    },
    "papermill": {
     "duration": 5.731689,
     "end_time": "2023-04-23T00:06:42.426952",
     "exception": false,
     "start_time": "2023-04-23T00:06:36.695263",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# define parameters and generate model\n",
    "batch_size = 64\n",
    "dropout = 0.4\n",
    "optimizer = 'Adam'\n",
    "\n",
    "model_3 = create_model(dropout)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "8b421616",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T00:06:44.724245Z",
     "iopub.status.busy": "2023-04-23T00:06:44.723869Z",
     "iopub.status.idle": "2023-04-23T00:06:44.746182Z",
     "shell.execute_reply": "2023-04-23T00:06:44.745241Z"
    },
    "papermill": {
     "duration": 1.186278,
     "end_time": "2023-04-23T00:06:44.748209",
     "exception": false,
     "start_time": "2023-04-23T00:06:43.561931",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# compile model\n",
    "model_3.compile(loss='categorical_crossentropy', optimizer=optimizer, metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "00e886e4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T00:06:47.018857Z",
     "iopub.status.busy": "2023-04-23T00:06:47.017851Z",
     "iopub.status.idle": "2023-04-23T00:37:00.316076Z",
     "shell.execute_reply": "2023-04-23T00:37:00.314957Z"
    },
    "papermill": {
     "duration": 1814.41767,
     "end_time": "2023-04-23T00:37:00.318885",
     "exception": false,
     "start_time": "2023-04-23T00:06:45.901215",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "665/665 [==============================] - 183s 128ms/step - loss: 4.4511 - accuracy: 0.0210 - val_loss: 4.3188 - val_accuracy: 0.0263\n",
      "Epoch 2/20\n",
      "665/665 [==============================] - 83s 124ms/step - loss: 4.1678 - accuracy: 0.0353 - val_loss: 4.1386 - val_accuracy: 0.0363\n",
      "Epoch 3/20\n",
      "665/665 [==============================] - 82s 124ms/step - loss: 4.0126 - accuracy: 0.0518 - val_loss: 4.0556 - val_accuracy: 0.0548\n",
      "Epoch 4/20\n",
      "665/665 [==============================] - 83s 125ms/step - loss: 3.8814 - accuracy: 0.0701 - val_loss: 3.8368 - val_accuracy: 0.0723\n",
      "Epoch 5/20\n",
      "665/665 [==============================] - 83s 125ms/step - loss: 3.7264 - accuracy: 0.0904 - val_loss: 9.4233 - val_accuracy: 0.0316\n",
      "Epoch 6/20\n",
      "665/665 [==============================] - 84s 126ms/step - loss: 4.0108 - accuracy: 0.0658 - val_loss: 3.8993 - val_accuracy: 0.0772\n",
      "Epoch 7/20\n",
      "665/665 [==============================] - 84s 127ms/step - loss: 3.7613 - accuracy: 0.0980 - val_loss: 3.7039 - val_accuracy: 0.1060\n",
      "Epoch 8/20\n",
      "665/665 [==============================] - 84s 127ms/step - loss: 3.6101 - accuracy: 0.1178 - val_loss: 3.6960 - val_accuracy: 0.1131\n",
      "Epoch 9/20\n",
      "665/665 [==============================] - 83s 125ms/step - loss: 3.5008 - accuracy: 0.1368 - val_loss: 3.5588 - val_accuracy: 0.1299\n",
      "Epoch 10/20\n",
      "665/665 [==============================] - 84s 126ms/step - loss: 3.3699 - accuracy: 0.1563 - val_loss: 3.4669 - val_accuracy: 0.1548\n",
      "Epoch 11/20\n",
      "665/665 [==============================] - 83s 125ms/step - loss: 3.2452 - accuracy: 0.1816 - val_loss: 3.3064 - val_accuracy: 0.1931\n",
      "Epoch 12/20\n",
      "665/665 [==============================] - 84s 126ms/step - loss: 3.2038 - accuracy: 0.1943 - val_loss: 3.4932 - val_accuracy: 0.1641\n",
      "Epoch 13/20\n",
      "665/665 [==============================] - 83s 125ms/step - loss: 3.1373 - accuracy: 0.2088 - val_loss: 3.4540 - val_accuracy: 0.1925\n",
      "Epoch 14/20\n",
      "665/665 [==============================] - 84s 126ms/step - loss: 3.0967 - accuracy: 0.2206 - val_loss: 3.0981 - val_accuracy: 0.2341\n",
      "Epoch 15/20\n",
      "665/665 [==============================] - 82s 124ms/step - loss: 2.8778 - accuracy: 0.2548 - val_loss: 3.1271 - val_accuracy: 0.2375\n",
      "Epoch 16/20\n",
      "665/665 [==============================] - 83s 125ms/step - loss: 2.8775 - accuracy: 0.2567 - val_loss: 3.0653 - val_accuracy: 0.2323\n",
      "Epoch 17/20\n",
      "665/665 [==============================] - 83s 125ms/step - loss: 2.7350 - accuracy: 0.2907 - val_loss: 3.4880 - val_accuracy: 0.1919\n",
      "Epoch 18/20\n",
      "665/665 [==============================] - 84s 126ms/step - loss: 2.8648 - accuracy: 0.2688 - val_loss: 3.0916 - val_accuracy: 0.2421\n",
      "Epoch 19/20\n",
      "665/665 [==============================] - 83s 125ms/step - loss: 2.6689 - accuracy: 0.3012 - val_loss: 2.9339 - val_accuracy: 0.2741\n",
      "Epoch 20/20\n",
      "665/665 [==============================] - 83s 125ms/step - loss: 2.5444 - accuracy: 0.3283 - val_loss: 693.3412 - val_accuracy: 0.0089\n"
     ]
    }
   ],
   "source": [
    "# train model\n",
    "history_3 = model_3.fit(X_train, y_train, validation_split=0.15, \n",
    "            batch_size=batch_size, epochs=epochs, verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "2a071ff5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T00:37:04.067331Z",
     "iopub.status.busy": "2023-04-23T00:37:04.066302Z",
     "iopub.status.idle": "2023-04-23T00:37:14.174213Z",
     "shell.execute_reply": "2023-04-23T00:37:14.173155Z"
    },
    "papermill": {
     "duration": 11.896152,
     "end_time": "2023-04-23T00:37:14.176649",
     "exception": false,
     "start_time": "2023-04-23T00:37:02.280497",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Loss: 2.54440975189209\n",
      "Train Acc: 0.32828235626220703\n",
      "\n",
      "Test Loss: 695.1625366210938\n",
      "Test Acc: 0.009600000455975533\n"
     ]
    }
   ],
   "source": [
    "# train model results\n",
    "print('Train Loss:', history_3.history['loss'][-1])\n",
    "print('Train Acc:', history_3.history['accuracy'][-1])\n",
    "\n",
    "\n",
    "# validation results\n",
    "val_loss, val_acc = model_3.evaluate(X_test, y_test, verbose=0)\n",
    "\n",
    "print('\\nTest Loss:', val_loss)\n",
    "print('Test Acc:', val_acc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "c07f0f53",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T00:37:17.953021Z",
     "iopub.status.busy": "2023-04-23T00:37:17.951995Z",
     "iopub.status.idle": "2023-04-23T00:37:18.396120Z",
     "shell.execute_reply": "2023-04-23T00:37:18.395169Z"
    },
    "papermill": {
     "duration": 2.303056,
     "end_time": "2023-04-23T00:37:18.398220",
     "exception": false,
     "start_time": "2023-04-23T00:37:16.095164",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Accuracy Plot\n",
    "plt.plot(history_3.history['accuracy'], label='Train Acc')\n",
    "plt.plot(history_3.history['val_accuracy'], label='Test Acc')\n",
    "plt.title('Model 3 Accuracy')\n",
    "plt.ylabel('Accuracy')\n",
    "plt.xlabel('Epochs')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "# Loss Plot\n",
    "plt.plot(history_3.history['loss'], label='Train Loss')\n",
    "plt.plot(history_3.history['val_loss'], label='Test Loss')\n",
    "plt.title('Model 3 Loss')\n",
    "plt.ylabel('Loss')\n",
    "plt.xlabel('Epochs')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b7cf1e8",
   "metadata": {
    "papermill": {
     "duration": 1.939117,
     "end_time": "2023-04-23T00:37:22.187832",
     "exception": false,
     "start_time": "2023-04-23T00:37:20.248715",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# 2.4 Model 4 (Batch Size = 128, Dropout = 0, Optimizer = SGD)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "3c8bcd13",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T00:37:25.994563Z",
     "iopub.status.busy": "2023-04-23T00:37:25.994169Z",
     "iopub.status.idle": "2023-04-23T00:37:30.912961Z",
     "shell.execute_reply": "2023-04-23T00:37:30.911929Z"
    },
    "papermill": {
     "duration": 6.78503,
     "end_time": "2023-04-23T00:37:30.915465",
     "exception": false,
     "start_time": "2023-04-23T00:37:24.130435",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# define parameters and generate model\n",
    "batch_size = 128\n",
    "dropout = 0\n",
    "optimizer = 'SGD'\n",
    "\n",
    "model_4 = create_model(dropout)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "416f8624",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T00:37:34.694766Z",
     "iopub.status.busy": "2023-04-23T00:37:34.694394Z",
     "iopub.status.idle": "2023-04-23T00:37:34.719292Z",
     "shell.execute_reply": "2023-04-23T00:37:34.718370Z"
    },
    "papermill": {
     "duration": 2.033678,
     "end_time": "2023-04-23T00:37:34.721271",
     "exception": false,
     "start_time": "2023-04-23T00:37:32.687593",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# compile model\n",
    "model_4.compile(loss='categorical_crossentropy', optimizer=optimizer, metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "f5f7a19b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T00:37:38.474255Z",
     "iopub.status.busy": "2023-04-23T00:37:38.473876Z",
     "iopub.status.idle": "2023-04-23T00:53:37.297490Z",
     "shell.execute_reply": "2023-04-23T00:53:37.296388Z"
    },
    "papermill": {
     "duration": 960.73123,
     "end_time": "2023-04-23T00:53:37.300445",
     "exception": false,
     "start_time": "2023-04-23T00:37:36.569215",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "333/333 [==============================] - 90s 139ms/step - loss: 4.5598 - accuracy: 0.0202 - val_loss: 68271.4219 - val_accuracy: 0.0083\n",
      "Epoch 2/20\n",
      "333/333 [==============================] - 43s 129ms/step - loss: 4.4316 - accuracy: 0.0313 - val_loss: 316.9797 - val_accuracy: 0.0145\n",
      "Epoch 3/20\n",
      "333/333 [==============================] - 43s 130ms/step - loss: 4.2866 - accuracy: 0.0470 - val_loss: 6.1686 - val_accuracy: 0.0095\n",
      "Epoch 4/20\n",
      "333/333 [==============================] - 44s 132ms/step - loss: 4.1388 - accuracy: 0.0588 - val_loss: 220.9017 - val_accuracy: 0.0097\n",
      "Epoch 5/20\n",
      "333/333 [==============================] - 43s 129ms/step - loss: 4.1239 - accuracy: 0.0594 - val_loss: 6.7234 - val_accuracy: 0.0240\n",
      "Epoch 6/20\n",
      "333/333 [==============================] - 43s 131ms/step - loss: 3.9841 - accuracy: 0.0777 - val_loss: 8.8054 - val_accuracy: 0.0084\n",
      "Epoch 7/20\n",
      "333/333 [==============================] - 43s 130ms/step - loss: 3.8953 - accuracy: 0.0898 - val_loss: 4.9591 - val_accuracy: 0.0183\n",
      "Epoch 8/20\n",
      "333/333 [==============================] - 43s 129ms/step - loss: 3.7818 - accuracy: 0.1067 - val_loss: 5.4944 - val_accuracy: 0.0232\n",
      "Epoch 9/20\n",
      "333/333 [==============================] - 43s 131ms/step - loss: 3.6832 - accuracy: 0.1240 - val_loss: 7.4862 - val_accuracy: 0.0124\n",
      "Epoch 10/20\n",
      "333/333 [==============================] - 44s 131ms/step - loss: 3.6271 - accuracy: 0.1324 - val_loss: 7.3088 - val_accuracy: 0.0285\n",
      "Epoch 11/20\n",
      "333/333 [==============================] - 43s 130ms/step - loss: 3.5517 - accuracy: 0.1460 - val_loss: 15.1695 - val_accuracy: 0.0151\n",
      "Epoch 12/20\n",
      "333/333 [==============================] - 43s 130ms/step - loss: 3.5265 - accuracy: 0.1525 - val_loss: 4.8415 - val_accuracy: 0.0549\n",
      "Epoch 13/20\n",
      "333/333 [==============================] - 43s 130ms/step - loss: 3.3973 - accuracy: 0.1748 - val_loss: 4.9273 - val_accuracy: 0.0343\n",
      "Epoch 14/20\n",
      "333/333 [==============================] - 43s 131ms/step - loss: 3.3207 - accuracy: 0.1851 - val_loss: 5.4607 - val_accuracy: 0.0304\n",
      "Epoch 15/20\n",
      "333/333 [==============================] - 43s 130ms/step - loss: 3.2871 - accuracy: 0.1914 - val_loss: 5.9267 - val_accuracy: 0.0228\n",
      "Epoch 16/20\n",
      "333/333 [==============================] - 43s 130ms/step - loss: 3.1764 - accuracy: 0.2131 - val_loss: 4.5487 - val_accuracy: 0.0689\n",
      "Epoch 17/20\n",
      "333/333 [==============================] - 45s 134ms/step - loss: 3.0719 - accuracy: 0.2300 - val_loss: 5.0038 - val_accuracy: 0.0525\n",
      "Epoch 18/20\n",
      "333/333 [==============================] - 43s 129ms/step - loss: 2.9972 - accuracy: 0.2449 - val_loss: 7.9485 - val_accuracy: 0.0467\n",
      "Epoch 19/20\n",
      "333/333 [==============================] - 43s 130ms/step - loss: 3.0240 - accuracy: 0.2373 - val_loss: 4.6382 - val_accuracy: 0.0625\n",
      "Epoch 20/20\n",
      "333/333 [==============================] - 43s 131ms/step - loss: 2.8564 - accuracy: 0.2694 - val_loss: 7.5126 - val_accuracy: 0.0343\n"
     ]
    }
   ],
   "source": [
    "# train model\n",
    "history_4 = model_4.fit(X_train, y_train, validation_split=0.15, \n",
    "            batch_size=batch_size, epochs=epochs, verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "2b3b4d57",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T00:53:41.915471Z",
     "iopub.status.busy": "2023-04-23T00:53:41.914418Z",
     "iopub.status.idle": "2023-04-23T00:53:52.036589Z",
     "shell.execute_reply": "2023-04-23T00:53:52.035553Z"
    },
    "papermill": {
     "duration": 12.520287,
     "end_time": "2023-04-23T00:53:52.038841",
     "exception": false,
     "start_time": "2023-04-23T00:53:39.518554",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Loss: 2.856419086456299\n",
      "Train Acc: 0.26938822865486145\n",
      "\n",
      "Test Loss: 7.6832475662231445\n",
      "Test Acc: 0.03480000048875809\n"
     ]
    }
   ],
   "source": [
    "# train model results\n",
    "print('Train Loss:', history_4.history['loss'][-1])\n",
    "print('Train Acc:', history_4.history['accuracy'][-1])\n",
    "\n",
    "\n",
    "# validation results\n",
    "val_loss, val_acc = model_4.evaluate(X_test, y_test, verbose=0)\n",
    "\n",
    "print('\\nTest Loss:', val_loss)\n",
    "print('Test Acc:', val_acc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "ff51f0d0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T00:53:56.552357Z",
     "iopub.status.busy": "2023-04-23T00:53:56.551309Z",
     "iopub.status.idle": "2023-04-23T00:53:56.995444Z",
     "shell.execute_reply": "2023-04-23T00:53:56.994250Z"
    },
    "papermill": {
     "duration": 2.661225,
     "end_time": "2023-04-23T00:53:56.998402",
     "exception": false,
     "start_time": "2023-04-23T00:53:54.337177",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Accuracy Plot\n",
    "plt.plot(history_4.history['accuracy'], label='Train Acc')\n",
    "plt.plot(history_4.history['val_accuracy'], label='Test Acc')\n",
    "plt.title('Model 4 Accuracy')\n",
    "plt.ylabel('Accuracy')\n",
    "plt.xlabel('Epochs')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "# Loss Plot\n",
    "plt.plot(history_4.history['loss'], label='Train Loss')\n",
    "plt.plot(history_4.history['val_loss'], label='Test Loss')\n",
    "plt.title('Model 4 Loss')\n",
    "plt.ylabel('Loss')\n",
    "plt.xlabel('Epochs')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "208c56fa",
   "metadata": {
    "papermill": {
     "duration": 2.227389,
     "end_time": "2023-04-23T00:54:01.492931",
     "exception": false,
     "start_time": "2023-04-23T00:53:59.265542",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# 2.5 Model 5 (Batch Size = 64, Dropout = 0, Optimizer = SGD)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "5243ea48",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T00:54:06.087186Z",
     "iopub.status.busy": "2023-04-23T00:54:06.086819Z",
     "iopub.status.idle": "2023-04-23T00:54:10.688038Z",
     "shell.execute_reply": "2023-04-23T00:54:10.687013Z"
    },
    "papermill": {
     "duration": 6.815872,
     "end_time": "2023-04-23T00:54:10.690609",
     "exception": false,
     "start_time": "2023-04-23T00:54:03.874737",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# define parameters and generate model\n",
    "batch_size = 64\n",
    "dropout = 0\n",
    "optimizer = 'SGD'\n",
    "\n",
    "model_5 = create_model(dropout)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "b00e3943",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T00:54:15.249974Z",
     "iopub.status.busy": "2023-04-23T00:54:15.249602Z",
     "iopub.status.idle": "2023-04-23T00:54:15.272652Z",
     "shell.execute_reply": "2023-04-23T00:54:15.271720Z"
    },
    "papermill": {
     "duration": 2.341439,
     "end_time": "2023-04-23T00:54:15.274822",
     "exception": false,
     "start_time": "2023-04-23T00:54:12.933383",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# compile model\n",
    "model_5.compile(loss='categorical_crossentropy', optimizer=optimizer, metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "2fce3e49",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T00:54:20.244070Z",
     "iopub.status.busy": "2023-04-23T00:54:20.243266Z",
     "iopub.status.idle": "2023-04-23T01:20:52.874133Z",
     "shell.execute_reply": "2023-04-23T01:20:52.873080Z"
    },
    "papermill": {
     "duration": 1594.880957,
     "end_time": "2023-04-23T01:20:52.876615",
     "exception": false,
     "start_time": "2023-04-23T00:54:17.995658",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "665/665 [==============================] - 122s 121ms/step - loss: 4.5413 - accuracy: 0.0223 - val_loss: 562370183168.0000 - val_accuracy: 0.0093\n",
      "Epoch 2/20\n",
      "665/665 [==============================] - 77s 116ms/step - loss: 4.3104 - accuracy: 0.0413 - val_loss: 4.7482 - val_accuracy: 0.0139\n",
      "Epoch 3/20\n",
      "665/665 [==============================] - 78s 117ms/step - loss: 4.0760 - accuracy: 0.0663 - val_loss: 5.0687 - val_accuracy: 0.0157\n",
      "Epoch 4/20\n",
      "665/665 [==============================] - 78s 117ms/step - loss: 3.9492 - accuracy: 0.0847 - val_loss: 4.8034 - val_accuracy: 0.0156\n",
      "Epoch 5/20\n",
      "665/665 [==============================] - 77s 116ms/step - loss: 3.8439 - accuracy: 0.0991 - val_loss: 4.6485 - val_accuracy: 0.0171\n",
      "Epoch 6/20\n",
      "665/665 [==============================] - 78s 118ms/step - loss: 3.8096 - accuracy: 0.1095 - val_loss: 143.6169 - val_accuracy: 0.0105\n",
      "Epoch 7/20\n",
      "665/665 [==============================] - 77s 116ms/step - loss: 3.8739 - accuracy: 0.0992 - val_loss: 4.2510 - val_accuracy: 0.0520\n",
      "Epoch 8/20\n",
      "665/665 [==============================] - 77s 115ms/step - loss: 3.6970 - accuracy: 0.1273 - val_loss: 3.8041 - val_accuracy: 0.1059\n",
      "Epoch 9/20\n",
      "665/665 [==============================] - 77s 116ms/step - loss: 3.5910 - accuracy: 0.1446 - val_loss: 4.0430 - val_accuracy: 0.0745\n",
      "Epoch 10/20\n",
      "665/665 [==============================] - 77s 116ms/step - loss: 3.5125 - accuracy: 0.1580 - val_loss: 4.4767 - val_accuracy: 0.0712\n",
      "Epoch 11/20\n",
      "665/665 [==============================] - 78s 117ms/step - loss: 3.4433 - accuracy: 0.1688 - val_loss: 4.1356 - val_accuracy: 0.0951\n",
      "Epoch 12/20\n",
      "665/665 [==============================] - 77s 116ms/step - loss: 3.3758 - accuracy: 0.1817 - val_loss: 3.8775 - val_accuracy: 0.1160\n",
      "Epoch 13/20\n",
      "665/665 [==============================] - 77s 116ms/step - loss: 3.3123 - accuracy: 0.1923 - val_loss: 10.2676 - val_accuracy: 0.0217\n",
      "Epoch 14/20\n",
      "665/665 [==============================] - 77s 116ms/step - loss: 3.3803 - accuracy: 0.1804 - val_loss: 4.2252 - val_accuracy: 0.0760\n",
      "Epoch 15/20\n",
      "665/665 [==============================] - 78s 117ms/step - loss: 3.2682 - accuracy: 0.2000 - val_loss: 4.7170 - val_accuracy: 0.0613\n",
      "Epoch 16/20\n",
      "665/665 [==============================] - 76s 115ms/step - loss: 3.2033 - accuracy: 0.2121 - val_loss: 4.3756 - val_accuracy: 0.0993\n",
      "Epoch 17/20\n",
      "665/665 [==============================] - 77s 115ms/step - loss: 3.1318 - accuracy: 0.2249 - val_loss: 3.7573 - val_accuracy: 0.1183\n",
      "Epoch 18/20\n",
      "665/665 [==============================] - 76s 115ms/step - loss: 3.0631 - accuracy: 0.2396 - val_loss: 4.1733 - val_accuracy: 0.0948\n",
      "Epoch 19/20\n",
      "665/665 [==============================] - 78s 117ms/step - loss: 3.0089 - accuracy: 0.2476 - val_loss: 4.0571 - val_accuracy: 0.1229\n",
      "Epoch 20/20\n",
      "665/665 [==============================] - 77s 116ms/step - loss: 2.9402 - accuracy: 0.2608 - val_loss: 4.5054 - val_accuracy: 0.0824\n"
     ]
    }
   ],
   "source": [
    "# train model\n",
    "history_5 = model_5.fit(X_train, y_train, validation_split=0.15, \n",
    "            batch_size=batch_size, epochs=epochs, verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "a345c06e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T01:20:58.892493Z",
     "iopub.status.busy": "2023-04-23T01:20:58.891382Z",
     "iopub.status.idle": "2023-04-23T01:21:09.233213Z",
     "shell.execute_reply": "2023-04-23T01:21:09.232132Z"
    },
    "papermill": {
     "duration": 13.299754,
     "end_time": "2023-04-23T01:21:09.235490",
     "exception": false,
     "start_time": "2023-04-23T01:20:55.935736",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Loss: 2.9402284622192383\n",
      "Train Acc: 0.2608470618724823\n",
      "\n",
      "Test Loss: 4.522232532501221\n",
      "Test Acc: 0.0803999975323677\n"
     ]
    }
   ],
   "source": [
    "# train model results\n",
    "print('Train Loss:', history_5.history['loss'][-1])\n",
    "print('Train Acc:', history_5.history['accuracy'][-1])\n",
    "\n",
    "\n",
    "# validation results\n",
    "val_loss, val_acc = model_5.evaluate(X_test, y_test, verbose=0)\n",
    "\n",
    "print('\\nTest Loss:', val_loss)\n",
    "print('Test Acc:', val_acc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "5301bc19",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T01:21:15.336064Z",
     "iopub.status.busy": "2023-04-23T01:21:15.334814Z",
     "iopub.status.idle": "2023-04-23T01:21:15.774392Z",
     "shell.execute_reply": "2023-04-23T01:21:15.773251Z"
    },
    "papermill": {
     "duration": 3.47792,
     "end_time": "2023-04-23T01:21:15.776600",
     "exception": false,
     "start_time": "2023-04-23T01:21:12.298680",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Accuracy Plot\n",
    "plt.plot(history_5.history['accuracy'], label='Train Acc')\n",
    "plt.plot(history_5.history['val_accuracy'], label='Test Acc')\n",
    "plt.title('Model 5 Accuracy')\n",
    "plt.ylabel('Accuracy')\n",
    "plt.xlabel('Epochs')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "# Loss Plot\n",
    "plt.plot(history_5.history['loss'], label='Train Loss')\n",
    "plt.plot(history_5.history['val_loss'], label='Test Loss')\n",
    "plt.title('Model 5 Loss')\n",
    "plt.ylabel('Loss')\n",
    "plt.xlabel('Epochs')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f59bbf99",
   "metadata": {
    "papermill": {
     "duration": 3.02269,
     "end_time": "2023-04-23T01:21:21.895415",
     "exception": false,
     "start_time": "2023-04-23T01:21:18.872725",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# 2.6 Model 6 (Batch Size = 64, Dropout = 0.4, Optimizer = SGD)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "0329fdb2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T01:21:28.022587Z",
     "iopub.status.busy": "2023-04-23T01:21:28.021691Z",
     "iopub.status.idle": "2023-04-23T01:21:34.168642Z",
     "shell.execute_reply": "2023-04-23T01:21:34.167599Z"
    },
    "papermill": {
     "duration": 9.196073,
     "end_time": "2023-04-23T01:21:34.171156",
     "exception": false,
     "start_time": "2023-04-23T01:21:24.975083",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# define parameters and generate model\n",
    "batch_size = 64\n",
    "dropout = 0.4\n",
    "optimizer = 'SGD'\n",
    "\n",
    "model_6 = create_model(dropout)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "5e00f527",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T01:21:40.534665Z",
     "iopub.status.busy": "2023-04-23T01:21:40.533614Z",
     "iopub.status.idle": "2023-04-23T01:21:40.556601Z",
     "shell.execute_reply": "2023-04-23T01:21:40.555666Z"
    },
    "papermill": {
     "duration": 2.969104,
     "end_time": "2023-04-23T01:21:40.558675",
     "exception": false,
     "start_time": "2023-04-23T01:21:37.589571",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# compile model\n",
    "model_6.compile(loss='categorical_crossentropy', optimizer=optimizer, metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "04805cb2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T01:21:46.705216Z",
     "iopub.status.busy": "2023-04-23T01:21:46.704835Z",
     "iopub.status.idle": "2023-04-23T01:48:44.586372Z",
     "shell.execute_reply": "2023-04-23T01:48:44.585194Z"
    },
    "papermill": {
     "duration": 1620.958519,
     "end_time": "2023-04-23T01:48:44.588986",
     "exception": false,
     "start_time": "2023-04-23T01:21:43.630467",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "665/665 [==============================] - 124s 125ms/step - loss: 4.5904 - accuracy: 0.0135 - val_loss: 17.3567 - val_accuracy: 0.0124\n",
      "Epoch 2/20\n",
      "665/665 [==============================] - 78s 117ms/step - loss: 4.5281 - accuracy: 0.0242 - val_loss: 6.5126 - val_accuracy: 0.0109\n",
      "Epoch 3/20\n",
      "665/665 [==============================] - 79s 118ms/step - loss: 4.3242 - accuracy: 0.0392 - val_loss: 6.7147 - val_accuracy: 0.0205\n",
      "Epoch 4/20\n",
      "665/665 [==============================] - 78s 117ms/step - loss: 4.1786 - accuracy: 0.0495 - val_loss: 4.3865 - val_accuracy: 0.0305\n",
      "Epoch 5/20\n",
      "665/665 [==============================] - 79s 119ms/step - loss: 4.0224 - accuracy: 0.0691 - val_loss: 4.6519 - val_accuracy: 0.0272\n",
      "Epoch 6/20\n",
      "665/665 [==============================] - 78s 118ms/step - loss: 3.9301 - accuracy: 0.0819 - val_loss: 4.3912 - val_accuracy: 0.0473\n",
      "Epoch 7/20\n",
      "665/665 [==============================] - 78s 117ms/step - loss: 3.8008 - accuracy: 0.0993 - val_loss: 4.1945 - val_accuracy: 0.0605\n",
      "Epoch 8/20\n",
      "665/665 [==============================] - 77s 116ms/step - loss: 3.7144 - accuracy: 0.1132 - val_loss: 4.3918 - val_accuracy: 0.0453\n",
      "Epoch 9/20\n",
      "665/665 [==============================] - 79s 119ms/step - loss: 3.6063 - accuracy: 0.1286 - val_loss: 4.1681 - val_accuracy: 0.0668\n",
      "Epoch 10/20\n",
      "665/665 [==============================] - 79s 118ms/step - loss: 3.5334 - accuracy: 0.1439 - val_loss: 3.7985 - val_accuracy: 0.1137\n",
      "Epoch 11/20\n",
      "665/665 [==============================] - 78s 118ms/step - loss: 3.4147 - accuracy: 0.1628 - val_loss: 4.0973 - val_accuracy: 0.0847\n",
      "Epoch 12/20\n",
      "665/665 [==============================] - 77s 116ms/step - loss: 3.3330 - accuracy: 0.1789 - val_loss: 3.7170 - val_accuracy: 0.1247\n",
      "Epoch 13/20\n",
      "665/665 [==============================] - 78s 117ms/step - loss: 3.2286 - accuracy: 0.1955 - val_loss: 3.9226 - val_accuracy: 0.1060\n",
      "Epoch 14/20\n",
      "665/665 [==============================] - 79s 118ms/step - loss: 3.1529 - accuracy: 0.2095 - val_loss: 3.9480 - val_accuracy: 0.1223\n",
      "Epoch 15/20\n",
      "665/665 [==============================] - 79s 118ms/step - loss: 3.0658 - accuracy: 0.2259 - val_loss: 5.3400 - val_accuracy: 0.0804\n",
      "Epoch 16/20\n",
      "665/665 [==============================] - 78s 118ms/step - loss: 3.0237 - accuracy: 0.2355 - val_loss: 4.0124 - val_accuracy: 0.0948\n",
      "Epoch 17/20\n",
      "665/665 [==============================] - 81s 122ms/step - loss: 2.9401 - accuracy: 0.2522 - val_loss: 5.1422 - val_accuracy: 0.0661\n",
      "Epoch 18/20\n",
      "665/665 [==============================] - 79s 118ms/step - loss: 2.9301 - accuracy: 0.2567 - val_loss: 3.5800 - val_accuracy: 0.1596\n",
      "Epoch 19/20\n",
      "665/665 [==============================] - 79s 119ms/step - loss: 2.7376 - accuracy: 0.2937 - val_loss: 4.1107 - val_accuracy: 0.1388\n",
      "Epoch 20/20\n",
      "665/665 [==============================] - 78s 117ms/step - loss: 2.6738 - accuracy: 0.3006 - val_loss: 4.1142 - val_accuracy: 0.1384\n"
     ]
    }
   ],
   "source": [
    "# train model\n",
    "history_6 = model_6.fit(X_train, y_train, validation_split=0.15, \n",
    "            batch_size=batch_size, epochs=epochs, verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "22861d84",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T01:48:52.115027Z",
     "iopub.status.busy": "2023-04-23T01:48:52.114018Z",
     "iopub.status.idle": "2023-04-23T01:49:02.430859Z",
     "shell.execute_reply": "2023-04-23T01:49:02.429692Z"
    },
    "papermill": {
     "duration": 14.102339,
     "end_time": "2023-04-23T01:49:02.433307",
     "exception": false,
     "start_time": "2023-04-23T01:48:48.330968",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Loss: 2.6737685203552246\n",
      "Train Acc: 0.30063530802726746\n",
      "\n",
      "Test Loss: 4.101789474487305\n",
      "Test Acc: 0.1412999927997589\n"
     ]
    }
   ],
   "source": [
    "# train model results\n",
    "print('Train Loss:', history_6.history['loss'][-1])\n",
    "print('Train Acc:', history_6.history['accuracy'][-1])\n",
    "\n",
    "\n",
    "# validation results\n",
    "val_loss, val_acc = model_6.evaluate(X_test, y_test, verbose=0)\n",
    "\n",
    "print('\\nTest Loss:', val_loss)\n",
    "print('Test Acc:', val_acc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "bce0bb64",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T01:49:09.971471Z",
     "iopub.status.busy": "2023-04-23T01:49:09.971078Z",
     "iopub.status.idle": "2023-04-23T01:49:10.414302Z",
     "shell.execute_reply": "2023-04-23T01:49:10.413248Z"
    },
    "papermill": {
     "duration": 4.211496,
     "end_time": "2023-04-23T01:49:10.416604",
     "exception": false,
     "start_time": "2023-04-23T01:49:06.205108",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Accuracy Plot\n",
    "plt.plot(history_6.history['accuracy'], label='Train Acc')\n",
    "plt.plot(history_6.history['val_accuracy'], label='Test Acc')\n",
    "plt.title('Model 6 Accuracy')\n",
    "plt.ylabel('Accuracy')\n",
    "plt.xlabel('Epochs')\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "# Loss Plot\n",
    "plt.plot(history_6.history['loss'], label='Train Loss')\n",
    "plt.plot(history_6.history['val_loss'], label='Test Loss')\n",
    "plt.title('Model 6 Loss')\n",
    "plt.ylabel('Loss')\n",
    "plt.xlabel('Epochs')\n",
    "plt.legend()\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": "3.7.12"
  },
  "papermill": {
   "default_parameters": {},
   "duration": 9054.371502,
   "end_time": "2023-04-23T01:49:18.296635",
   "environment_variables": {},
   "exception": null,
   "input_path": "__notebook__.ipynb",
   "output_path": "__notebook__.ipynb",
   "parameters": {},
   "start_time": "2023-04-22T23:18:23.925133",
   "version": "2.4.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}