stl-cnn-cifar100-20classes.ipynb

{
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   "source": [
    "# Single-Task Learning on Cifar100 Dataset (20 Superclasses): 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 20-classes image classification on Cifar100."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
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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": "50cdb9bf",
   "metadata": {
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     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# 1. Data Visualization & Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a3500274",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:24:55.050145Z",
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     "start_time": "2023-04-22T23:24:55.040018",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "num_classes = 20          # number of classes\n",
    "input_shape = (32, 32, 3) # original input image size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "09d3c435",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:24:55.073889Z",
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    },
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     "duration": 4.055503,
     "end_time": "2023-04-22T23:24:59.120324",
     "exception": false,
     "start_time": "2023-04-22T23:24:55.064821",
     "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 [==============================] - 2s 0us/step\n"
     ]
    }
   ],
   "source": [
    "# download data from Keras API\n",
    "(X_train, y_train), (X_test, y_test) = cifar100.load_data(label_mode = 'coarse')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "672a6b78",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:24:59.142843Z",
     "iopub.status.busy": "2023-04-22T23:24:59.142520Z",
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     "status": "completed"
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    "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": "0b27ee9e",
   "metadata": {
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     "exception": false,
     "start_time": "2023-04-22T23:24:59.160854",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## 1.1. Data Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "566f3af0",
   "metadata": {
    "execution": {
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   },
   "outputs": [
    {
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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": "3fad9f18",
   "metadata": {
    "papermill": {
     "duration": 0.010242,
     "end_time": "2023-04-22T23:24:59.866199",
     "exception": false,
     "start_time": "2023-04-22T23:24:59.855957",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## 1.2. Data Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4f8a79cc",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:24:59.888855Z",
     "iopub.status.busy": "2023-04-22T23:24:59.887805Z",
     "iopub.status.idle": "2023-04-22T23:25:00.284514Z",
     "shell.execute_reply": "2023-04-22T23:25:00.283232Z"
    },
    "papermill": {
     "duration": 0.411037,
     "end_time": "2023-04-22T23:25:00.287481",
     "exception": false,
     "start_time": "2023-04-22T23:24:59.876444",
     "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": "2c8f7daa",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:25:00.315789Z",
     "iopub.status.busy": "2023-04-22T23:25:00.315460Z",
     "iopub.status.idle": "2023-04-22T23:25:00.326212Z",
     "shell.execute_reply": "2023-04-22T23:25:00.325139Z"
    },
    "papermill": {
     "duration": 0.027168,
     "end_time": "2023-04-22T23:25:00.328723",
     "exception": false,
     "start_time": "2023-04-22T23:25:00.301555",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "y_train:  (50000, 20)\n",
      "y_test:  (10000, 20)\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": "dee71894",
   "metadata": {
    "papermill": {
     "duration": 0.011232,
     "end_time": "2023-04-22T23:25:00.351420",
     "exception": false,
     "start_time": "2023-04-22T23:25:00.340188",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# 2. Modeling\n",
    "**Note**: Build a sequential model using ResNet152 architecture"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7a51d784",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:25:00.374851Z",
     "iopub.status.busy": "2023-04-22T23:25:00.373597Z",
     "iopub.status.idle": "2023-04-22T23:25:00.381414Z",
     "shell.execute_reply": "2023-04-22T23:25:00.380356Z"
    },
    "papermill": {
     "duration": 0.021827,
     "end_time": "2023-04-22T23:25:00.383566",
     "exception": false,
     "start_time": "2023-04-22T23:25:00.361739",
     "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(512, activation='relu'))\n",
    "    model.add(Dropout(dropout))\n",
    "    model.add(Dense(256, activation='relu'))\n",
    "    model.add(Dense(128, activation='relu'))\n",
    "    model.add(Dense(20, activation='softmax'))\n",
    "    \n",
    "    return model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9392f6de",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:25:00.406854Z",
     "iopub.status.busy": "2023-04-22T23:25:00.406523Z",
     "iopub.status.idle": "2023-04-22T23:25:09.722644Z",
     "shell.execute_reply": "2023-04-22T23:25:09.721311Z"
    },
    "papermill": {
     "duration": 9.331281,
     "end_time": "2023-04-22T23:25:09.725262",
     "exception": false,
     "start_time": "2023-04-22T23:25:00.393981",
     "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, 512)               1049088   \n",
      "                                                                 \n",
      " dropout (Dropout)           (None, 512)               0         \n",
      "                                                                 \n",
      " dense_2 (Dense)             (None, 256)               131328    \n",
      "                                                                 \n",
      " dense_3 (Dense)             (None, 128)               32896     \n",
      "                                                                 \n",
      " dense_4 (Dense)             (None, 20)                2580      \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 63,783,188\n",
      "Trainable params: 63,631,764\n",
      "Non-trainable params: 151,424\n",
      "_________________________________________________________________\n",
      "None\n"
     ]
    },
    {
     "data": {
      "image/png": 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\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": "f4b6552f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:25:09.753613Z",
     "iopub.status.busy": "2023-04-22T23:25:09.753120Z",
     "iopub.status.idle": "2023-04-22T23:25:09.759108Z",
     "shell.execute_reply": "2023-04-22T23:25:09.758142Z"
    },
    "papermill": {
     "duration": 0.022756,
     "end_time": "2023-04-22T23:25:09.761451",
     "exception": false,
     "start_time": "2023-04-22T23:25:09.738695",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# define number of epochs\n",
    "epochs = 20"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dde59697",
   "metadata": {
    "papermill": {
     "duration": 0.012617,
     "end_time": "2023-04-22T23:25:09.786780",
     "exception": false,
     "start_time": "2023-04-22T23:25:09.774163",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# 2.1 Model 1 (Batch Size = 128, Dropout = 0, Optimizer = Adam)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f84995f8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:25:09.814492Z",
     "iopub.status.busy": "2023-04-22T23:25:09.813931Z",
     "iopub.status.idle": "2023-04-22T23:25:15.198043Z",
     "shell.execute_reply": "2023-04-22T23:25:15.196807Z"
    },
    "papermill": {
     "duration": 5.401027,
     "end_time": "2023-04-22T23:25:15.201000",
     "exception": false,
     "start_time": "2023-04-22T23:25:09.799973",
     "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": "a7504fe5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:25:15.230767Z",
     "iopub.status.busy": "2023-04-22T23:25:15.230384Z",
     "iopub.status.idle": "2023-04-22T23:25:15.260272Z",
     "shell.execute_reply": "2023-04-22T23:25:15.258951Z"
    },
    "papermill": {
     "duration": 0.047826,
     "end_time": "2023-04-22T23:25:15.262799",
     "exception": false,
     "start_time": "2023-04-22T23:25:15.214973",
     "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": "a99d1af9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:25:15.293307Z",
     "iopub.status.busy": "2023-04-22T23:25:15.292245Z",
     "iopub.status.idle": "2023-04-22T23:44:30.545806Z",
     "shell.execute_reply": "2023-04-22T23:44:30.544652Z"
    },
    "papermill": {
     "duration": 1155.27173,
     "end_time": "2023-04-22T23:44:30.548438",
     "exception": false,
     "start_time": "2023-04-22T23:25:15.276708",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "333/333 [==============================] - 167s 162ms/step - loss: 2.8921 - accuracy: 0.0955 - val_loss: 2.8463 - val_accuracy: 0.0947\n",
      "Epoch 2/20\n",
      "333/333 [==============================] - 50s 151ms/step - loss: 2.6422 - accuracy: 0.1477 - val_loss: 2.8850 - val_accuracy: 0.1156\n",
      "Epoch 3/20\n",
      "333/333 [==============================] - 50s 151ms/step - loss: 2.5186 - accuracy: 0.1844 - val_loss: 2.5966 - val_accuracy: 0.1947\n",
      "Epoch 4/20\n",
      "333/333 [==============================] - 51s 152ms/step - loss: 2.3647 - accuracy: 0.2434 - val_loss: 2.5095 - val_accuracy: 0.2369\n",
      "Epoch 5/20\n",
      "333/333 [==============================] - 51s 153ms/step - loss: 2.2733 - accuracy: 0.2696 - val_loss: 2.3174 - val_accuracy: 0.2767\n",
      "Epoch 6/20\n",
      "333/333 [==============================] - 52s 155ms/step - loss: 2.1439 - accuracy: 0.3080 - val_loss: 2.5939 - val_accuracy: 0.2645\n",
      "Epoch 7/20\n",
      "333/333 [==============================] - 51s 154ms/step - loss: 2.0761 - accuracy: 0.3375 - val_loss: 2.2731 - val_accuracy: 0.3075\n",
      "Epoch 8/20\n",
      "333/333 [==============================] - 52s 155ms/step - loss: 1.9627 - accuracy: 0.3750 - val_loss: 2.6406 - val_accuracy: 0.2625\n",
      "Epoch 9/20\n",
      "333/333 [==============================] - 52s 155ms/step - loss: 1.9008 - accuracy: 0.3988 - val_loss: 3.6585 - val_accuracy: 0.1943\n",
      "Epoch 10/20\n",
      "333/333 [==============================] - 52s 155ms/step - loss: 2.5447 - accuracy: 0.1984 - val_loss: 2.4061 - val_accuracy: 0.2345\n",
      "Epoch 11/20\n",
      "333/333 [==============================] - 51s 154ms/step - loss: 2.2778 - accuracy: 0.2866 - val_loss: 2.2438 - val_accuracy: 0.2992\n",
      "Epoch 12/20\n",
      "333/333 [==============================] - 51s 154ms/step - loss: 2.1165 - accuracy: 0.3369 - val_loss: 2.1423 - val_accuracy: 0.3316\n",
      "Epoch 13/20\n",
      "333/333 [==============================] - 52s 155ms/step - loss: 1.9825 - accuracy: 0.3771 - val_loss: 4.2162 - val_accuracy: 0.3168\n",
      "Epoch 14/20\n",
      "333/333 [==============================] - 52s 155ms/step - loss: 1.8865 - accuracy: 0.4064 - val_loss: 2.2312 - val_accuracy: 0.3464\n",
      "Epoch 15/20\n",
      "333/333 [==============================] - 52s 156ms/step - loss: 1.8267 - accuracy: 0.4280 - val_loss: 1.9634 - val_accuracy: 0.4032\n",
      "Epoch 16/20\n",
      "333/333 [==============================] - 52s 155ms/step - loss: 1.6964 - accuracy: 0.4676 - val_loss: 1.9763 - val_accuracy: 0.4115\n",
      "Epoch 17/20\n",
      "333/333 [==============================] - 52s 156ms/step - loss: 1.5798 - accuracy: 0.5006 - val_loss: 1.9371 - val_accuracy: 0.4208\n",
      "Epoch 18/20\n",
      "333/333 [==============================] - 52s 158ms/step - loss: 1.5036 - accuracy: 0.5241 - val_loss: 2.3006 - val_accuracy: 0.4091\n",
      "Epoch 19/20\n",
      "333/333 [==============================] - 51s 154ms/step - loss: 1.4124 - accuracy: 0.5505 - val_loss: 1.9241 - val_accuracy: 0.4233\n",
      "Epoch 20/20\n",
      "333/333 [==============================] - 52s 156ms/step - loss: 1.3500 - accuracy: 0.5709 - val_loss: 1.9703 - val_accuracy: 0.4433\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": "13163a43",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:44:31.347723Z",
     "iopub.status.busy": "2023-04-22T23:44:31.347357Z",
     "iopub.status.idle": "2023-04-22T23:44:41.365424Z",
     "shell.execute_reply": "2023-04-22T23:44:41.363341Z"
    },
    "papermill": {
     "duration": 10.396573,
     "end_time": "2023-04-22T23:44:41.367669",
     "exception": false,
     "start_time": "2023-04-22T23:44:30.971096",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Loss: 1.349981665611267\n",
      "Train Acc: 0.570870578289032\n",
      "\n",
      "Test Loss: 1.9810540676116943\n",
      "Test Acc: 0.4296000003814697\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": "3e9a8692",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:44:42.123206Z",
     "iopub.status.busy": "2023-04-22T23:44:42.122066Z",
     "iopub.status.idle": "2023-04-22T23:44:42.594149Z",
     "shell.execute_reply": "2023-04-22T23:44:42.593028Z"
    },
    "papermill": {
     "duration": 0.851837,
     "end_time": "2023-04-22T23:44:42.596564",
     "exception": false,
     "start_time": "2023-04-22T23:44:41.744727",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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JkjT3tm3bNnr16sVzzz2Hr68ve/bswdvbO/XzwYMHs3r1ar799lsuXLjAjz/+SLFixZ7tD0QIIUSu+TsgjG7zDjJn5yUSko0UszInMl67KTmkW+oJ4pMN1Jy6U5Nr+8/ogq1l7jyiCRMmpGkNAXj33XdT348fP54//viDdevW0aRJk0zP0717d8aMGQOoCdPcuXPZt28f1atXz/QYHx8fBg4cCEDXrl2JiYlhz549dOzYEYBPP/2U/v3788knn6QeU69ePQAuX77M2rVr2bVrV+r+np6eObl1IYQQeSQ4MoGZ2/zZekYtjyhVzIopz9WgR/3Smk7NIclNEfHflhBQZ2OePXs2a9as4c6dOyQmJpKYmIidnV2W56lbt27q+0fdX4+WPMjIpUuXOHbsGBs3bgTA3Nycfv36sXjx4tRkxc/Pj5EjR2Z4vJ+fH3q9njZt2mTrPoUQQuS9ZIORZYdvMHfXZWKTDJjpYHCzCrzdqSqONk+u6cxrktw8gY2FHv8ZXTS7dm55PGn56quvmDt3LvPmzaNOnTrY2dkxYcIEkpKSsjzP44XIOp0OozHzflUfHx9SUlIoU6ZM6jZFUbCwsOD+/fuUKFEiXcHzf2X1mRBCiPx3/EYEH28+x8XgaADqlyvOzJ61qV3GUePI/iXJzRPodLpc6xoqSA4ePEiPHj1Su4uMRiMBAQHUqFEj166RkpLCL7/8wldffUXnzp3TfNa7d29WrFjBuHHjqFu3Lnv27GHYsGHpzlGnTh2MRiP79+9PbekRQgiR/8JiEpm1/SIbTt0GoLitBZO6VqevdznMzArW7PCm960tsqVy5cps2LCBw4cPU6JECb7++muCg4NzNbnZunUr9+/f57XXXsPRMW1G36dPH3x8fBg3bhzTpk2jQ4cOVKpUif79+5OSksKOHTt4//33qVChAkOGDGH48OF8++231KtXj5s3bxIaGkrfvn1zLVYhhBAZMxgVVh4LZM4fF4lKSAFgQONyvN+lOiXsLDWOLmMyWqqI+vjjj2nYsCFdunShbdu2uLm50bNnz1y9ho+PDx07dkyX2IDacuPn58epU6do27Yt69atY8uWLdSvX5/27dunGbW1YMEC+vTpw5gxY6hevTojR44kNjY2V2MVQgiR3ulbD3hp/iE+3nyOqIQUapV2YOOY5szqVbfAJjYAOiU3xxsXAlFRUTg6OhIZGYmDg0OazxISErh+/ToVK1bE2tpaowjFs5BnKIQQz+5BXBJzdl5i5bFAFAXsrc15t3M1Bjb1QK9RF1RW39+Pk24pIYQQQgBgNCqsP3Wb2TsuEhGrDjDp1aAMk7vXwNneSuPosk+SGyGEEELgfzeKj387x8mb9wGo4lKM//WsTVNPJ40jyzlJboQQQogiLDohmbm7Alj2zw0MRgVbSz0TOlZhWIuKWOgLZ2muJDdCCCFEEaQoCltO3+XTbRcIjU4EoHsdNz5+vibujoV7jjFJboQQQogi5kpoNFN/O8/hq+EAVHCy5ZMetWlT1VnjyHKHJDdCCCFEEWEwKny7J4D5+66QbFCwMjdjbLvKjGrtiXUuzoqvNUluhBBCiCIgIjaJt1b7cjAgDID21V2Y/kItyjvZahxZ7pPkRgghhDBxZ29HMnr5Se48iMfGQs+sXnU0X7k7L0lyI4QQQpiwtcdvMeW3cySlGKngZMuPg7yo7pb1JHiFnSQ3QgghhAlKTDEwfYs/q44FAtCxhgtf9a2Po42FxpHlvcI5gF2kodPpsnwNHTr0qc9doUIF5s2bl+39P/vsM/R6PbNnz37qawohhHg2dx/E0/enI6w6FohOB+90qsrCQd5FIrEBabkxCUFBQanv16xZw9SpU7l06VLqNhub/JuvYMmSJbz//vssXryYSZMm5dt1hRBCqA5fCWPcKl8iYpNwtLHgm/71aVvNReuw8pW03JgANze31JejoyM6nS7NtgMHDuDl5YW1tTWenp588sknpKSkpB4/ffp0ypcvj5WVFaVLl+bNN98EoG3btty8eZO33347tRUoK/v37yc+Pp4ZM2YQGxvLgQMH0nxuNBr5/PPPqVy5MlZWVpQvX55PP/009fPbt2/Tv39/SpYsiZ2dHd7e3mlWBxdCCJE5RVH4cf9VBvocJSI2iZruDmwd37LIJTYgLTdPpiiQHKfNtS1s4Rkr2Xfu3MnAgQP59ttvadWqFVevXmXUqFEATJs2jfXr1zN37lxWr15NrVq1CA4O5vTp0wBs3LiRevXqMWrUKEaOHPnEa/n4+DBgwAAsLCwYMGAAPj4+tG7dOvXzyZMns2jRIubOnUvLli0JCgri4sWLAMTExNCmTRvKlCnDli1bcHNz49SpUxiNxme6fyGEKApiElN4b91pdpwLBqB3w7J8+lJtk5q7JickuXmS5Dj4rLQ21/7wLljaPdMpPv30UyZNmsSQIUMA8PT05H//+x/vv/8+06ZNIzAwEDc3Nzp27IiFhQXly5encePGAJQsWRK9Xo+9vT1ubm5ZXicqKooNGzZw+PBhAAYOHEiLFi347rvvcHBwIDo6mm+++Ybvv/8+NZZKlSrRsmVLAFauXMm9e/c4fvw4JUuWBKBy5crPdO9CCFEUXAmN4fVfT3D1XiwWeh3TXqjFq03Km+ww7+yQbikTd/LkSWbMmEGxYsVSXyNHjiQoKIi4uDhefvll4uPj8fT0ZOTIkWzatClNl1V2rVy5Ek9PT+rVqwdA/fr18fT0ZPXq1QBcuHCBxMREOnTokOHxfn5+NGjQIDWxEUII8WQ7zgbR4/u/uXovFjcHa9a83oyBTT2KdGID0nLzZBa2aguKVtd+RkajkU8++YRevXql+8za2ppy5cpx6dIldu3axe7duxkzZgxz5sxh//79WFhkv6p+8eLFnD9/HnPzf/9KGY1GfHx8GDVq1BOLmvOz6FkIIQq7FIOROX9e4qf91wBoUrEk37/SEGd7K40jKxgkuXkSne6Zu4a01LBhQy5dupRlF4+NjQ0vvvgiL774ImPHjqV69eqcPXuWhg0bYmlpicFgyPIaZ8+e5cSJE+zbty9Ny8uDBw9o3bo1586do0qVKtjY2LBnzx5GjBiR7hx169bl559/JiIiQlpvhBAiC+ExiYxf5Zu66OWIlhWZ1K065nrpjHlEkhsTN3XqVJ5//nnKlSvHyy+/jJmZGWfOnOHs2bPMnDmTpUuXYjAYaNKkCba2tvz666/Y2Njg4eEBqPPcHDhwgP79+2NlZUWpUqXSXcPHx4fGjRunKR5+pFmzZvj4+DB37lw++OAD3n//fSwtLWnRogX37t3j/PnzvPbaawwYMIDPPvuMnj17MmvWLNzd3fH19aV06dI0a9Ysz/+chBCiMDh96wFvLD/J3cgEbC31fN67Li/U06gutACTNM/EdenSha1bt7Jr1y4aNWpE06ZN+frrr1OTl+LFi7No0SJatGhB3bp12bNnD7///jtOTk4AzJgxgxs3blCpUiWcnZ3TnT8pKYnly5fTu3fvDK/fu3dvli9fTlJSEh9//DHvvPMOU6dOpUaNGvTr14/Q0FAALC0t+fPPP3FxcaF79+7UqVOH2bNno9cXzUp/IYR43Kpjgbz84z/cjUzAs5Qdm8e2kMQmEzpFURStg8hPUVFRODo6EhkZiYND2rU1EhISuH79OhUrVsTa2lqjCMWzkGcohDA1CckGpv12njUnbgHQuaYrX/ath4N10Zht+JGsvr8fJ91SQgghRAF1+34cY1ac4sztSMx08E7narzRphJmZkV7NNSTSHIjhBBCFEB/B4QxftUp7sclU8LWgm8HNKBVlfTlASI9SW6EEEKIAkRRFBbsv8qXOy9hVKBOGUcWDGxI2RLPPj1IUSHJjRBCCFFAhEYnMGnDWf66qA626Otdlhk9iu4yCk9LkpsMFLEaa5Miz04IUVjtPB/M5I1niYhNwtLcjOkv1OKVJuW1DqtQkuTmPx7NyBsXFycz5hZScXHqIqc5mV1ZCCG0FJOYwozfz7P2xG0Aarg7MK9ffaq52WscWeElyc1/6PV6ihcvnjr3iq2tbZFfn6OwUBSFuLg4QkNDKV68uMyPI4QoFE7ejODtNacJjIhDp4NRrT2Z2KkqVuby/7BnIcnNYx6tfv0owRGFS/HixZ+4grkQQmgt2WDkm90BzN93BaMCZYrb8FXfejT1dNI6NJMgyc1jdDod7u7uuLi4kJycrHU4IgcsLCykxUYIUeBdCY3h7TV+nL0TCUCvBmWY3qNWkZuULy9JcpMJvV4vX5RCCCFyjaIo/HrkJp9tv0BCshFHGws+e6kOz9V11zo0kyPJjRBCCJHHQqMSeG/9GfZfvgdAqyqlmNOnHm6OskxMXpDkRgghhMhDf5wLYvLGs9yPS8bK3IzJ3aozuFkFWUIhD0lyI4QQQuSB6IRkpm/xZ8MpdYh3rdLqEO8qrjLEO69JciOEEELksmPXI5i41o/b9+Mx08HoNpWY0LEqluZmWodWJEhyI4QQQuSSpBQjc3df5sf9V1EUKFvChrn96tOoQkmtQytSJLkRQgghckFASDQT1vhx/m4UAH28yjLthZrYyxDvfCfJjRBCCPEMjEaFZf/cYPaOiySmGClha8GsXnXoWluGeGtF886/+fPnU7FiRaytrfHy8uLgwYOZ7rtv3z50Ol2618WLF/MxYiGEEEIVHJnAkCXH+OR3fxJTjLSp6szOCa0lsdGYpi03a9asYcKECcyfP58WLVrw008/0a1bN/z9/SlfPvOVUC9duoSDg0Pqz87OzvkRrhBCCJFq65m7fLTpHJHxyVhbmPFR9xoMbOohaxIWADpFURStLt6kSRMaNmzIggULUrfVqFGDnj17MmvWrHT779u3j3bt2nH//n2KFy/+VNeMiorC0dGRyMjINAmSEEIIkR1xSSlM2XSOjb53AKhb1pGv+9ansksxjSMzbTn5/tasWyopKYmTJ0/SuXPnNNs7d+7M4cOHszy2QYMGuLu706FDB/bu3ZvlvomJiURFRaV5CSGEEE8jJjGFoUuOs9H3DmY6GN++MhveaC6JTQGjWXITFhaGwWDA1dU1zXZXV1eCg4MzPMbd3Z2FCxeyYcMGNm7cSLVq1ejQoQMHDhzI9DqzZs3C0dEx9VWuXLlcvQ8hhBBFQ3RCMkMWH+PY9QjsrcxZNbIp73SuhoVe8/JV8RjNR0s93jepKEqm/ZXVqlWjWrVqqT83a9aMW7du8eWXX9K6desMj5k8eTITJ05M/TkqKkoSHCGEEDkSGa8mNn63HuBgbc7yEU2oW7a41mGJTGiWbpYqVQq9Xp+ulSY0NDRda05WmjZtSkBAQKafW1lZ4eDgkOYlhBBCZNeDuCQG+RzF79YDittasHJkU0lsCjjNkhtLS0u8vLzYtWtXmu27du2iefPm2T6Pr68v7u4y5E4IIUTuux+bxCuLjnLmdiQl7SxZOaIptcs4ah2WeAJNu6UmTpzIoEGD8Pb2plmzZixcuJDAwEBGjx4NqF1Kd+7c4ZdffgFg3rx5VKhQgVq1apGUlMTy5cvZsGEDGzZs0PI2hBBCmKDwmERe/fkoF4OjKVXMkhUjmlLNTRa9LAw0TW769etHeHg4M2bMICgoiNq1a7N9+3Y8PDwACAoKIjAwMHX/pKQk3n33Xe7cuYONjQ21atVi27ZtdO/eXatbEEIIYYLuRSfy6s9HuBwSg7O9FatGNqGyiyQ2hYWm89xoQea5EUIIkZXQqAQGLDrC1XuxuDlYs3JkEzydZai31nLy/a35aCkhhBCioAiKjOeVRUe5HhZLaUdrVo1qioeTndZhiRyS5EYIIYQA7jyIZ8DCIwRGxFG2hA2rRjalXElbrcMST0GSGyGEEEXerYg4Biw6wu378ZQvacuqUU0pU9xG67DEU5LkRgghRJF2MzyWAQuPcDcygYql7Fg5sgnujpLYFGaS3AghhCiyrt2L4ZVFRwmOSqCSsx0rRzbF1cFa67DEM5LkRgghRJF0JTSGVxYdITQ6kSouxVg5sinO9lZahyVygSQ3QgghipzLIdG8sugIYTFJVHezZ8WIJjgVk8TGVEhyI4QQoki5EBTFqz8fJSI2iZruDiwf0YSSdpZahyVykSQ3QgghioxzdyIZ6HOUB3HJ1CnjyK+vNaa4rSQ2pkaSGyGEEEXCmdsPGPjzUaISUqhfrjjLhjfG0cZC67BEHpDkRgghhMnzDbzP4MXHiE5IwcujBEuHNcLeWhIbUyXJjRBCCJN24kYEQ5ccJyYxhcYVSrJ4WCOKWcnXnymTpyuEEMJkHb0WzrClx4lLMtDM0wmfod7YWspXn6mTJyyEEMIkHb4SxmvLThCfbKBVlVIsHOSNjaVe67BEPpDkRgghhMk5GHCPEctOkJhipE1VZ34a5IW1hSQ2RYUkN0IIIUzKqcD7qYlNh+ouzB/YECtzSWyKEkluhBBCmIxbEXGM+kVNbNpVc2bBQC8szc20DkvkM3niQgghTEJUQjKvLTtOWIw68/D3rzSUxKaIkqcuhBCi0EsxGBm74hSXQ2JwdbDCZ6g3djLcu8iS5EYIIUShpigK07ac52BAGDYWenyGNMLd0UbrsISGJLkRQghRqC0+dIMVRwPR6WBe//rULuOodUhCY5LcCCGEKLR2+4cwc5s/AB92q0GXWm4aRyQKAkluhBBCFErn70by5mpfFAUGNC7PiFYVtQ5JFBCS3AghhCh0QqISeG3pCeKSDLSsXIoZPWqh0+m0DksUEJLcCCGEKFTiklJ4bdlxgqMSqOxSjB9ebYiFXr7OxL/kb4MQQohCw2BUeGu1H+fuRFHSzpLFQxrhaGOhdViigJHkRgghRKHx+R8X2eUfgqW5GYsGe1HeyVbrkEQBJMmNEEKIQmHVsUAWHrgGwJw+dfHyKKlxRKKgkuRGCCFEgfd3QBgfbz4HwNsdq9KjfhmNIxIFmSQ3QgghCrQrodG8seIkKUaFnvVL82aHylqHJAo4SW6EEEIUWOExiQxbepzohBS8PUowu3ddGfItnkiSGyGEEAVSQrKBUb+e5FZEPOVL2vLTIC+sLfRahyWe5P4NCD6raQiS3AghhChwFEXh/fVnOHnzPvbW5iwe2ginYlZahyWykhwPe2fB941h02gwpGgWiqwHL4QQosD5Zk8AW07fxdxMx48DvajsUkzrkERmFAUuboOdk+FBoLrNtiQkPAC7UpqEJMmNEEKIAmWz7x3m7Q4AYGbP2rSorM0XpMiGsCvwxwdwZbf6s0MZ6PIp1OwJGtZGSXIjhBCiwDhxI4L3158B4PXWnvRvXF7jiESGEmPg4Jdw+HswJoOZBTQfD63fBUs7raOT5EYIIUTBcDM8llG/niTJYKRzTVc+6Fpd65DE4xQFzm+EnVMg+q66rXJH6Po5lCo4Q/QluRFCCKG5yLhkhi89TkRsEnXKODKvf33MzGTId4ESegG2vwc3Dqo/Fy+vJjXVumnaBZURSW6EEEJoKtlg5I0VJ7l6LxZ3R2t+HuKNraV8PRUYCVGwbzYc/REUA5hbQ8u3ocVbYGGjdXQZkr89QgghNKMoCh9vPsfhq+HYWurxGdIIVwdrrcMSoHZBnVkDf34MsaHqturPqwXDJSpoGtqTSHIjhBBCM4sOXmP18VuY6eC7AQ2oWdpB65AEQNAZtQvq1hH155KVoNsXUKWjtnFlkyQ3QgghNPHHuWBm7bgIwJTnatKhhqvGEQniImDvZ3DCBxQjWNhC6/eg2VgwLzyTKEpyI4QQIt+duf2ACWt8URQY1NSDYS0qaB1S0WY0gu+vsOcTiAtXt9XqBZ1ngmPhW4FdkhshhBD5JsVgxOfv68zdfZmEZCNtqjoz7YWashimlm6fhO3vwt1T6s/O1aH7HKjYWtu4noEkN0IIIfLF+buRTNpwlrN3IgFoWbkU373SAHO9LHOoidgwtaXm1K+AApb20G4yNB4Feguto3smktwIIYTIUwnJBr7ZE8DCA9cwGBUcrM2Z8lxNXvYuKy02WjCkwMkl8Nf/IEFNNKk3ADp+AvamUfckyY0QQog8c/RaOJM2nuV6WCwA3eu4Mf3FWrjYy3DvfJcQBadXwbGFEH5F3eZWB7p/CeWbahtbLpPkRgghRK6LSkhm9o6LrDyqrhLtYm/F/3rWpkstN40jywWGFAi7rM7Qa1UIViu/d1lNaE6vgqQYdZt1cWg/BbyHg5le0/DygiQ3QgghctWf54P5+LdzhEQlAjCgcXkmdauOo00hruN4EAhX9sDVPXDtACRGgrmNuvRAnT7q+koFaai00QCXd6pJzbW9/24vVVWtqanXH6zstYsvj0lyI4QQIlfci05k+pbzbDsbBEAFJ1tm9apLs0pOGkf2FJJi4cYhNZm5sgfCA9J+rreClHh1EcnzG8HaEWq8qCY6FVpp1xoSF6EO6T7+s5qQAaCDat2h8UjwbFvg1oHKC5LcCCGEeCaKorD+5G1mbrtAZHwyejMdI1t5MqFjFawtCkmXh6JAyPl/k5nAf8CQ9O/nOj2UbQSVO0ClDlC6PgSdhnMb1Fd0kJpU+P4KxVzVOWLq9IEyXvmTTASfVVtpzqxTky5Qu54aDoZGI6CER97HUIDoFEVRtA4iP0VFReHo6EhkZCQODjLNtxBCPIvA8Dg+3HSWv6+EAVCrtAOf965L7TKOGkeWDbHhapfNlT1w9S+ICU77uWN5qNxeTWYqtgab4hmfx2iAm4fh3Ho4vxkSHvz7WYkKULuPmui41Mjd+A3JcOF3OLYIAg//u921DjQZpV7X0jZ3r6mhnHx/S3IjhBAixwxGhSWHrvPVn5eJTzZgZW7G252qMqJlxYI7b40hGW4f/7d25q4f8J+vQAtbqNBSTWYqdwCnyjlvdUlJUhOlc+vh4nZIjv33M9faULu3+nqWlpSYUDi5FE4sVluMAMzM1W6xxqPUkU8m2PUkyU0WJLkRQohncyEoikkbznD6tjpHSlPPkszqVZeKpew0jiwD92/82zJz/QAkRqX93LU2VGqvJjPlm+VuUXBSLFzaoXZbBewCY/K/n5Vroras1OoJxVyyd77bJ9Sup/Ob/u0ys3MGr2HgPQwcSude7AWQJDdZkORGCCGeTkKygR/2XmHBvqukGBXsrc35qHsN+jUqV3Am44sJhZuH1GLga3v/nc/lEZuSUKmdOrqpUnuwz6eh6XERahfSufVw/SCpLUY6M7XIt3YfqPG8Wpj8XymJcG6jmtQ8Wh4B1PqfxqOgZo+CNUorD0lykwVJboQQIueO34hg0oYzXL2ndrN0qeXKjB61cXXQeDK+qKCHyczf6n/DLqf9XKeHco0fdjW1B/f62s/rEhWktr6cWw93Tv67XW8FVTpBnZfVyfX8VqrdT3FhDz+3VLu0Go+CMg01CV1LktxkQZIbIYTIvuiEZL744xK/HrkJgLO9FTNerEW3Ou7aBPQgUG2VufnwFXEt/T6utcGjBVRspRYCP94aUpCEX1VbZs6th3sXM97HoYw62Z7XULArla/hFSSS3GRBkhshhMievy6G8NGmcwRFJgDQz7scH3avgaNtPk3Gpyhw//q/ycyNQxAZmHYfnZnayuHREiq0UOtmbEvmT3y56dFQ9LPr1GQnMlC9pyajoNpzoJeZW3Ly/S1/WkIIIdIwGBX+t9WfpYdvAFC+pC2ze9WheeU8bjVQFLVG5lEX041DEH037T46PZRuAB7N1ZFN5ZsW7JaZ7NLpwK22+uo4XV0mwYRnEM5rmic38+fPZ86cOQQFBVGrVi3mzZtHq1atnnjcoUOHaNOmDbVr18bPzy/vAxVCiCIgLimFN1f5sftCCACjWnvydseq2FjmQZ2K0ah2xdz8T8tMbGjafcws1InwKrRQu5rKNSkc6zk9C51OEptnpGlys2bNGiZMmMD8+fNp0aIFP/30E926dcPf35/y5ctnelxkZCSDBw+mQ4cOhISE5GPEQghhuu5FJ/LasuOcuR2JpbkZ8/rVp3te1dYcXQj7ZkF8RNrteit1JNCjZKZsI5OaiE7kD01rbpo0aULDhg1ZsGBB6rYaNWrQs2dPZs2alelx/fv3p0qVKuj1ejZv3pyjlhupuRFCiPSuhEYzdMlxbt+Pp4StBYsGe+NdIY9qV4JOw09tAEWdOK9cYzWR8WihttJYaDwCSxRIhaLmJikpiZMnTzJp0qQ02zt37szhw4czOQqWLFnC1atXWb58OTNnznzidRITE0lMTEz9OSoqKou9hRCi6Dl6LZyRv5wgKiEFDydblg5rnHcT8ikKbH8PUKBmT+i1CMwt8+ZaosjSbI7ssLAwDAYDrq6uaba7uroSHByc4TEBAQFMmjSJFStWYG6evbxs1qxZODo6pr7KlSv3zLELIVQhUQl8tOks284EaR2KeEq/+d1hkM8xohJSaFC+OBvfaJ63Mw2fWQO3joKFHXT5TBIbkSc0XwDk8VktFUXJcKZLg8HAK6+8wieffELVqlWzff7JkycTGRmZ+rp169YzxyyEgD/OBdNl3gFWHA1k5jZ/rcMROaQoCvP3XeGt1X4kGYx0reXGqpFNcSqWh7PdJkTBrqnq+9bvgmOZvLuWKNI065YqVaoUer0+XStNaGhoutYcgOjoaE6cOIGvry/jxo0DwGg0oigK5ubm/Pnnn7Rv3z7dcVZWVlhZFY2pqYXID7GJKcz43Z81J/79RSEoMoHI+GQcbfJp/hPxTFIMRj7+7TyrjqlzxrzWsiIfdq+B3iyPl1DY/znEhEDJStBsbN5eSxRpmrXcWFpa4uXlxa5du9Js37VrF82bN0+3v4ODA2fPnsXPzy/1NXr0aKpVq4afnx9NmjTJr9CFKLL8bj3guW8PsubELXQ6GN2mEi726i8PV0JjNI5OZEdMYgojfjnBqmOB6HQw7YWafPx8zbxPbO5dgqM/qu+7fV5k1kMS2tB0KPjEiRMZNGgQ3t7eNGvWjIULFxIYGMjo0aMBtUvpzp07/PLLL5iZmVG7du00x7u4uGBtbZ1uuxAidxmMCgv2XWHu7gAMRoXSjtZ81bc+zSo5cf5uJKHRiQSEROPlUULrUEUWQqISGL70OOfvRmFtYcY3/RvQpVY+LBypKLDjfTCmQLXu6vpJQuQhTZObfv36ER4ezowZMwgKCqJ27dps374dDw8PAIKCgggMDHzCWYQQeelWRBwT1/px/MZ9AJ6v686nPeukTsFfxcWegwFhXA6RlpuC7FJwNMOWHONuZAJOdpb4DG1E/XLF8+fiF7bAtX3qHDZdPsufa4oiTdaWEkJkarPvHT7efI7oxBSKWZkzo0ctXmpQJk3R/+pjgUzaeJZWVUrx62vSPVwQHb4Sxuu/niQ6MQVPZzuWDm1Mead8mhgvKQ5+aAyRt6D1+9D+o/y5rjA5hWKeGyFEwRUZn8zHm8+x5bS6ro+XRwnm9atPuZLpvxCruKrTxF8Oic7XGEX2bDh5m0kbz5BsUGhUoQSLBntT3DYfh1//PVdNbBzLQcu38++6okiT5EYIkcbRa+FMXHuaOw/i0ZvpeKtDFca0rYS5PuPxB1Vc1XV+QqISZcRUAaIoCt/uucLc3ZcBtTvxy5frYW2RB2tEZSbiOhz6Rn3f5VNZRkHkG0luhBAAJBuMzNt9mfn7rqIo4OFky9x+9WlYPusiYQdrC9wdrQmKTCAgJDrvpuwX2ZZsMPLhxrOsO3kbUEe1vd+lGmZ5PSLqcTs/BEMieLaFGi/m77VFkSbJjRCCa/dimLDGjzO3IwF42ass016sRTGr7P0vooqrPUGRCVwOiZHkRmPRCcmMWXGKgwFhmOlgRo/aDGzqkf+BBOyCS9vBzBy6faGudC1EPpHkRogiTFEUVh+/xYzf/YlPNuBoY8GsXnVyvBJ0VZdiHLh8T+puNBYUGc+wJce5GByNraWe719pQPvq6SdFzXMpibDjA/V9k9HgXC3/YxBFmiQ3QhRREbFJfLDhDLv8QwBoXsmJr/rWw93RJsfnqvqwqDggVJIbrfjfjWLY0mOERCXibG/F4iGNqFPWUZtg/vkBIq5CMVdo84E2MYgiTZIbIYqgA5fv8c6609yLTsRCr+O9LtUY0dLzqWsyHhUVy1w32th/+R5jV5wiJjGFKi7FWDKsEWVLaFS8G3kHDnypvu80A6xlyg2R/yS5EaIISUg28MUfl1h86DoAlV2K8U3/+tQq/Wy/4T8aDn4vOpEHcUn5O9S4iFtzPJAPN53DYFRo6lmSnwZ5aztibdfHkBwL5ZpC3X7axSGKNEluhCgiLgZHMWG1HxeD1a6jwc08mNytBjaWzz40uJiVOWWK23DnQTyXQ2JoXFGKivOaoih8vesy3/11BYCXGpRhdu86WJnn41Dvx10/COc2gM4Mus+RImKhGUluhDBxRqPC0sM3mP3HRZJSjJQqZskXfermeqFpFddiD5ObaElu8sH3f11JTWzGt6/MxE5V08wcne8MKer6UQBew8C9rnaxiCJPkhshTFhSipExK06x+4JaNNyumjNf9KmHs33ur8hc1dWefZfuESAjpvLc9rNBfLVLnZxv+gs1GdqiosYRAcd/hlB/sCkJ7adoHY0o4iS5EcJEGY0K768/ze4LIViZmzHluRoMbOqRZ7/dV3GRouL8cPZ2JBPX+gEwvEXFgpHYxNyDvQ8XxOzwMdhKy53QVsbzqWehQoUKzJgxQ1brFqKAm/3HRTb73cXcTMdPg7wY1KxCnnZbyHDwvBccmcCIX46TkGykbTVnPuxeXeuQVHumQ2IkuNeDhkO0jkaInCc377zzDr/99huenp506tSJ1atXk5iYmBexCSGe0s8Hr7HwwDUAPu9dl7bVXPL8mpUfttyExSQREZuU59crauKTDIz85QQhUYlUcSnGtwMaZLreV766fQJ8l6vvu38JZhoWNAvxUI7/ZYwfP56TJ09y8uRJatasyZtvvom7uzvjxo3j1KlTeRGjECIHfvO7w8xtFwD4oGt1enuVzZfr2lmZU7aEOgGgzFScu4xGhXfW+XH2TiQl7SzxGdIIB+sCsECp0Qjb31Xf13sFyjXWNh4hHnrqtL9evXp888033Llzh2nTpvHzzz/TqFEj6tWrx+LFi1EUJTfjFEJkw98BYby77jQAQ5tXYHQbz3y9fmrXlCQ3uWrengC2nw3GQq/jx4FelHcqIKtr+/4Kd33BygE6Ttc6GiFSPXVyk5yczNq1a3nxxRd555138Pb25ueff6Zv37589NFHvPrqq7kZpxDiCc7dieT1X0+QbFB4rq47U5+vme9Dg2Wm4tz3m98dvt0TAMBnL9UpOMPs4+/Dnk/U920ngb0Ga1gJkYkcj5Y6deoUS5YsYdWqVej1egYNGsTcuXOpXv3fwrbOnTvTunXrXA1UCJG5wPA4hi45TmySgaaeJfm6b72nXkrhWVR1UVtupFsqd/gG3ue99WcAeL21Jy97l9M4ov/Y+xnEhYNzdWg8SutohEgjx8lNo0aN6NSpEwsWLKBnz55YWKTv961Zsyb9+/fPlQCFEFkLj0lkyJJjhMUkUt3NnoWDvTWbpfZRy01AqLTcPKu7D+IZ+ctJklKMdKzhyvtdC8jIKIDgs+q8NgDdvgB9Aaj/EeI/cpzcXLt2DQ8Pjyz3sbOzY8mSJU8dlBAie2ITUxi+9DjXw2IpU9yGZcMba1po+mjEVERsEmExiZQqlvuTBRYFsYkpvLbsRGrCOq9/ffQatMRlSFFg+/ugGKFmT/Bso3VEQqST45qb0NBQjh49mm770aNHOXHiRK4EJYR4smSDkbErT3H6diTFbS345bXGuDpYaxqTraU55UqqI6YCpO7mqRiNCm+v8eNCUBSlilny8xBvilkVoPlWz66HwMNgYQudZ2odjRAZynFyM3bsWG7dupVu+507dxg7dmyuBCWEyJqiKEzacJZ9l+5hbWGGz5BGVHIupnVYwL91NzKZ39OZ8+cl/vQPwVJvxk+DvClbooCMjAJIjFZX/QZoNRGKF6AaICH+I8fJjb+/Pw0bNky3vUGDBvj7++dKUEKIrM3ZeYkNp26jN9PxwysN8fIooXVIqaq4SlHx09pw8jYL9l0F4Is+dQvUcwXgwByIDoISFaHZeK2jESJTOU5urKysCAkJSbc9KCgIc/MC1HQqhIlaeug68x9+AX72Um061ChYQ3CrynDwp3LiRgSTN54FYFy7yvRsUEbjiB4TFgD/zFffd/scLLTtAhUiKzlObjp16sTkyZOJjIxM3fbgwQM+/PBDOnXqlKvBCSHS2nYmiE+2qi2k73SqSr9G5TWOKL3/TuQnk3lmz62IOF7/9SRJBiNda7kxsVNVrUNKS1Fgx/tgTIYqXaBqF60jEiJLOW5q+eqrr2jdujUeHh40aNAAAD8/P1xdXfn1119zPUAhhOqfq+G8vcYPRYGBTcszrn1lrUPKUCXnYuh0cD8umbCYJJztZcRUVqITkhmx7AThsUnULuPA1/20maMoSxe3wdW/QG8JXWdpHY0QT5Tj5KZMmTKcOXOGFStWcPr0aWxsbBg2bBgDBgzIcM4bIcSzuxAUxahfTpBkMNKlliufvFg732cfzi4bSz3lS9pyMzyOgJBoSW6yYDAqvLXaj0sh0bjYW7FosDe2lgWsez85HnZOVt83Hw9OlbSNR4hseKp/RXZ2dowaJTNSCpEfbt+PY+iSY0QnptCoQgm+6d+g4Mx5kokqLvbcDI/jckg0zSuX0jqcAmv2jgv8dTEUK3MzFg32xt3RRuuQ0jv0DTwIBIcy0OodraMRIlue+lcEf39/AgMDSUpKSrP9xRdffOaghBCq+7FJDFl8jJCoRKq6FuPnwY2wttBm9uGcqOpajN0XQrgsMxVnas3xQBYdvA7AV33rUa9ccW0Dysj9m/D3XPV9l0/B0k7beITIpqeaofill17i7Nmz6HS61ILBR03kBoMhdyMUooiKTzLw2rLjXL0Xi7ujNUuHNcbRtnB0/crq4Fn752o4H206B8CEjlV4vm5pjSPKxM4PISUBKrRSZyMWopDI8Wipt956i4oVKxISEoKtrS3nz5/nwIEDeHt7s2/fvjwIUYiiJ8VgZPyqU5wKfICDtTnLhjemdPEC2GWRif+uDi4jptK6GR7LGytOkmJUeKFead7qUEXrkDJ2cRtc3Ao6PXSfAwW0xkuIjOQ4ufnnn3+YMWMGzs7OmJmZYWZmRsuWLZk1axZvvvlmXsQoRJGiKApTNp9j9wW1FsNnaKPUlpDCopJzMcx0EBmfzL3oRK3DKTCiEpIZvvQ4D+KSqVfWkTl96hbMwvDTq2HtEPV9k9HgUkPbeITIoRwnNwaDgWLF1N/KSpUqxd27dwHw8PDg0qVLuRudEEXQ3N0BrD5+CzMdfDugAY0qlNQ6pByzttDj4aTWZ8hkfqoUg5GxK05x9V4sbg7WLBrsXfDqpxQFDnwJm15X57Sp1Qs6TtM6KiFyLMfJTe3atTlz5gwATZo04YsvvuDQoUPMmDEDT0/PXA9QiKJk+ZGbfLsnAIAZPWrTpZabxhE9vSouj7qmpO4GYOa2CxwMCMPGQs/PQ7xx0XiR03QMKbB1Avz1P/Xn5m9Cbx8wl6H8ovDJcUHxlClTiI2NBWDmzJk8//zztGrVCicnJ9asWZPrAQpRVOw8H8zU39Qi0zfbV2ZgUw+NI3o2VV3t+dM/RBbQBH49cpOlh28AMLdffWqXcdQ2oMclxsD64RCwE9CpNTaNR2odlRBPLcfJTZcu/0677enpib+/PxEREZQoUaJg9h0LUQgcvxHBm6t8MSrQz7scbxe06fefQhVZYwqAvwPCmL7lPADvdalG19oFrDUuJhRWvAxBfmBurbbW1Hhe66iEeCY56pZKSUnB3Nycc+fOpdlesmRJSWyEeEqXQ6J5belxElOMdKjuwqcvFdzZh3Oi6n9WBy+qI6au3othzIqTGIwKLzUow5i2BWx237AA+LmjmtjYOsGQrZLYCJOQo+TG3NwcDw8PmctGiFxy/EYEfX/6h6iEFBqUL873rzTEXJ/jUrgCydPZDr2ZjuiEFEKiit6IqbikFEYuO0FUQgpeHiWY1atOwUpaA4+ATyd4cBNKVITXdkG5RlpHJUSuyPH/RadMmcLkyZOJiIjIi3iEKDK2nQni1Z+PqsOCyxVn8ZBG2FgWsNEzz8DKXI+Hky1QNIuKv/jjEtfC1AkYfxrkVbBGRp3fDMtehPj7UMYLRuyWNaOESclxzc23337LlStXKF26NB4eHtjZpZ2O+9SpU7kWnBCmSFEUfj54nU+3XwCgU01Xvu3fwKQSm0equthz7V4sl0OiaV3VWetw8s2Ra+GpBcSf965LqWIFaMTRPz/Azo8ABap1V2tsLG21jkqIXJXj5KZnz555EIYQRYPBqPC/rf6pX3yDm3kw7YVaBX4hzKdVxbUYf5yHgCJUVByXlML769XpMt6ob07rkpFAAUjsjEb48yM4Ml/9udEI6PYFmJleUi1EjpObadNkQichnkZ8koE3V/uyyz8EgI+612BEq4oFqw4jl1V5VFRchIaDf77jIoERcfS29+f9gDlwMREqtoGmY6BKZzDToKYqOQE2jQL/39SfO34CLd6SJRWEyXrqVcGFENkXFpPIa8tOcPrWAyzNzZjbtz7P1XXXOqw8V/XhcPArD9eYMuVEDtQFMZf9c5MuZseZY/genTFZ/eD6fvXlVFldzqD+K/m3wnZcBKwaALeOgN4Sei6AOn3y59pCaCTHv0KYmZmh1+szfQkh0rp2L4Ze8w9z+tYDittasGJEkyKR2ABULPVwxFRiCsFRCVqHk6diE1N4b/1pXjA7zHzLbzEzJkOtl2D8KWg+HqwcIfwKbH8Xvq4Bu6ZC5O28Der+DfDprCY21o4waJMkNqJIyHHLzaZNm9L8nJycjK+vL8uWLeOTTz7JtcCEMAUnb0YwYtkJ7sclU66kDUuHNaaSczGtw8o3VuZ6KjjZcvVeLJdDYnB3LDwrm+fU7B0XaRa1g88tF2GGAvUGwIvfg94cOs+ENh+A30o4sgDuX4dD38Dh76FmD2g2Fsp6525Ad07Byr4Qew8cysLA9bIApigycpzc9OjRI922Pn36UKtWLdasWcNrr72WK4EJUdjtOBvEW2v8SEoxUq+sIz8PaYSzfQEaNZNPqrrac/VeLAEh0bQx0RFTh6+EoRz/mTkWS9QNXsPgua/T1tdY2UOT19VC3ss71cLeGwfh/Eb1VbYxNBsD1V9QE6JncXknrBsKyXHgWgdeXQcORaO1UAh4im6pzDRp0oTdu3fn1umEKNR+PniNMStPkZRipGMNF1aNalokExv4T1Gxic51E5uYwok1M5n5KLFp8gY8PzfzwmEzPVTvDkO3wusHod4rYGYBt4+pCcm39eHQtxD/4OkCOrEEVvVXExvPdjBsuyQ2osjJleQmPj6e7777jrJly+bG6YQotAxGhU9+P8/MbRdQFBjU1IOfBnlja1l0a/ermvgaU4eXTOLNZDWxSWo2AbrOyv4oJPe68NICePs8tH5fXQIh8hbs+hi+rgnb34Pwq9k7l6LAnhnqyt6KEeq/qrbYWDs81X0JUZjl+P+4jy+QqSgK0dHR2Nrasnz58lwNTojCJCHZwFurfdl5Xh3qPblbdUa19jT5EUJP8miNqSuhJjZiSlG4tWEynYIXARBYbwLlO09/uuHV9q7Q/iNo9Q6cXavW5YT6w7GFcGwRVO2qdllVaJXx+VOSYMs4OLNG/bnNJGg7SYZ6iyIrx8nN3Llz0/zPyczMDGdnZ5o0aUKJEiVyNTghCovwmERG/HIC38AHWOrN+KpvPV6oV1rrsAqECk52mJvpiElM4W5kAmWKm0BRsaKQtH0y5c4tAOCP0mPp+lIuDKiwsIaGg6HBILi2T63LCfgTLu9QX2511PlyavcG84fdnAmRsGaQOtRcp4cX5qnnEKII0ylFbLneqKgoHB0diYyMxMFBmmvFs7seFsvQJce4GR6Ho40FiwZ707hiSa3DKlA6fb2fgNAYlgxrRLtqLlqH82yMRnU49wkfAL62GMnr787GziqPuh7vXYajP6ojrVLi1W12LmphcrWusOkNCD0PlsXg5WVQpWPexCGExnLy/Z3jmpslS5awbt26dNvXrVvHsmXLcno6IQq1kzfv03vBYW6Gx1G2hA0b3mguiU0GHnVNBRT2omKjQe3+OeGDUdHxXvIomvWfnHeJDYBzVXj+a5joDx2ng31piA2FfZ/BT63VxKaYq1o4LImNEMBTJDezZ8+mVKlS6ba7uLjw2Wef5UpQQhQGf5wL5pVFR4iITaJuWUc2jWlBZZeiM4dNTlQxhaJiQzJsGAF+K0jBjAnJY7BpPIRmlZzy5/q2JaHl2zDhjLrYZemG6vZS1dRVvd3r5U8cQhQCOf514+bNm1SsWDHddg8PDwIDA3MlKCEKusV/X+d/2/xRFOhQ3YXvXmlQpEdEPUmhb7lJSYT1w+HiVlJ05oxLHId/8bbs6Fo9/2PRW6izDNfurc547FhOrdURQqTK8f+NXVxcOHPmDBUqVEiz/fTp0zg55dNvMEJoxGhUmLntAosPXQdgYNPyTH+hFuZ6DRZDLEQeDQcPCI3BaFQwK0yroCfHqwW7V3ZhNLNkZMJb7DU2YHWfunnbHfUkOh2UqqLd9YUowHL8L7N///68+eab2Nvb07p1awD279/PW2+9Rf/+/XM9QCEKioRkA2+v8WPHuWAAJnWrzusy1DtbPJzssNDriEsycOdBPOVK2modUvYkxqgT4t04iGJuwwTd++w1VmNo8wo09ZRf5oQoqHKc3MycOZObN2/SoUMHzM3Vw41GI4MHD5aaG2GyImKTGPnLCU7evI+l3ow5L9elR/0yWodVaFjozfAsVYxLIdEEhEYXjuQmIRJW9FUXnbQsxk9lZ7PFvyQeTra837Wa1tEJIbKQ4+TG0tKSNWvWMHPmTPz8/LCxsaFOnTp4eHjkRXxCaO7Og3gG/nyU62GxOFibs2iwN01y87d2owEe3ISSnrl3zgKoiqua3FwOiaF9dVetw8laXAQs7wV3fcHakVOtfZi9JQmAL3rXlfoqIQq4p/4XWqVKFapUkf5eYdoi45IZsvgY18NiKVPchmXDG1HZxT73LmBIhl9fUhdQ7PaFurCiiVKLioMK/hpTMffg154Qcg5snYjpt56xK+8DMLR5hdxNbIUQeSLHVZB9+vRh9uzZ6bbPmTOHl19+OVeCEqIgSEwx8PryE1wJjcHNwZp1o5vlbmIDsGuamtgA7PwIbp/M3fMXIKlFxQV5OHhUECx9Tk1sirnC0G3877g5QZEJVJDuKCEKjRwnN/v37+e5555Lt71r164cOHAgxwHMnz+fihUrYm1tjZeXFwcPHsx037///psWLVrg5OSEjY0N1atXZ+7cuTm+phBPoigKH6w/w5FrERSzMmfx0EaUzu1lA85tgCM/qO/d6oIxGdYPffrVoAu4Kv9ZY8poLIAToz8IhCXdIOwSOJSBodvZe9+JNSduodPBnJfrSXeUEIVEjpObmJgYLC0t0223sLAgKioqR+das2YNEyZM4KOPPsLX15dWrVrRrVu3TOfLsbOzY9y4cRw4cIALFy4wZcoUpkyZwsKFC3N6G0Jk6as/L7PZ7y7mZjrmv9qQmqVzeamO0Avw23j1fcu3YehWKO6hfsH+NlZd4dnEeJS0xVJvRnyygdv347UOJ62Ia7CkO9y/rj6HYduJtPNg8oazAAxrXpFGFWTmaSEKixwnN7Vr12bNmjXptq9evZqaNWvm6Fxff/01r732GiNGjKBGjRrMmzePcuXKsWDBggz3b9CgAQMGDKBWrVpUqFCBgQMH0qVLlyxbe4TIqVXHAvl+7xUAPutVh9ZVnXP3AgmRsPpVSI4Fz7bQ/mOwdoSXl4KZBVzcCkd/yt1rFgDmejM8ne0AClbdzb3LamITeQucKsOwHVCiAjO3+hMclUDFUna810W6o4QoTHLcxvrxxx/Tu3dvrl69Svv27QHYs2cPK1euZP369dk+T1JSEidPnmTSpElptnfu3JnDhw9n6xy+vr4cPnyYmTNnZrpPYmIiiYmJqT/ntHVJFC17L4UyZfM5AN7sUIW+3uVy9wJGo7rQYcRVcCirTqNvplc/K9MQOs+EPz6AP6dAucbqNhNSxdWei8HRXA6NpmPNAjBiKuQ8/NIDYu+Bcw0Y/BvYu7L3YijrTt5Wu6P61MXGUq91pEKIHMhxy82LL77I5s2buXLlCmPGjOGdd97hzp07/PXXX+lmLc5KWFgYBoMBV9e0/4NzdXUlODg4y2PLli2LlZUV3t7ejB07lhEjRmS676xZs3B0dEx9lSuXy19WwmScuxPJuBWnMBgVejUsw9sd82A04KG5cGkb6C2h3y9g99g6bU1eh+rPq/U364aaXP1NVZcCVFRsSFH/jGPvqTVPQ7eBvSuR8clM2ngGgOEtKuIt3VFCFDpPNWf8c889x6FDh4iNjeXKlSv06tWLCRMm4OXlleNzPT67q6IoT5zx9eDBg5w4cYIff/yRefPmsWrVqkz3nTx5MpGRkamvW7du5ThGYfruPIhn+NLjxCYZaFHZidm96ub+zMNX/4K/HrYydp8DZTL496LTQY8foHh5de6bLeNMqv7mUVFxgeiWOrMGwi6DTQm1xcZOHeL9v63+hEQl4lnKjnc7S3eUEIXRU5f+//XXXyxevJiNGzfi4eFB79698fHxyfbxpUqVQq/Xp2ulCQ0NTdea87hHC3fWqVOHkJAQpk+fzoABAzLc18rKCisrq2zHJYqeyPhkhi05Rmh0ItVc7Vkw0AtL81xeK+pBIKx/DRQjNBgEXkMz39emuFp/49MFLvwOxxZBk1G5G49GHg0HvxIag8GooNdqjamUJNj/cEqLlm+rK24Df10MYf2j7qiXpTtKiMIqR/8Hv337NjNnzsTT05MBAwZQokQJkpOT2bBhAzNnzqRBgwbZPpelpSVeXl7s2rUrzfZdu3bRvHnzbJ9HUZQ0NTVC5ERSipE3lp/kckgMrg5WLBnWCAdri9y9SHICrB0M8RHgXh+6f/nkY8p4Qef/qe///AjunMrdmDTi4WSHpbkZiSlGbt+P0y6QU8vUhLOYKzQaCagTNk56ODpqRMuKeHlId5QQhVW2k5vu3btTs2ZN/P39+e6777h79y7ffffdM1184sSJ/PzzzyxevJgLFy7w9ttvExgYyOjRowG1S2nw4MGp+//www/8/vvvBAQEEBAQwJIlS/jyyy8ZOHDgM8UhiiZFUZi04QyHr4ZjZ6nPm7lsAHa8p07jb1MC+v0KFtbZO67JaLX+xpAE64epo6wKOb2ZjkrOauvNZa3qbpLi4MDDBLP1e2CprnP1ydbzhEYn4ulsxzvSHSVEoZbtbqk///yTN998kzfeeCPXll3o168f4eHhzJgxg6CgIGrXrs327dtT16kKCgpKM+eN0Whk8uTJXL9+HXNzcypVqsTs2bN5/XXTnbJe5J25uy6z0fcOejMd8wd6Uau0Y+5f5OQyOPULoFNHRhUvn/1jdTro8T0En4H7N2DLeHh5mbq9EKvqWowLQVFcDommkxYjpo4vgphg9Vk0HALAbv8QNp66g5kO5vSph7WFdEcJUZhlO7k5ePAgixcvxtvbm+rVqzNo0CD69ev3zAGMGTOGMWPGZPjZ0qVL0/w8fvx4xo8f/8zXFGLt8Vt8+5c6l82nPWvTJrfnsgG1K2n7e+r79lOgcoecn8OmBPRZCou7gP9vcPxnaDwyV8PMb1UfFhUHaFFUnBAFfz+c1bzNJDC35EFcEh9uetgd1coTL48S+R+XECJXZbtbqlmzZixatIigoCBef/11Vq9eTZkyZTAajezatYvo6AIw+kGIbNh/+R6TH36ZjW9fmf6Nc9Cakl2x4WqdjSERqnWHlhOf/lxlvaDTJ+r7nR/CXb9cCVErVVw07JY6Mh/i74NTFair/nL2ye/+qd1REztVzf+YhBC5LsdDQmxtbRk+fDh///03Z8+e5Z133mH27Nm4uLjw4osv5kWMQuSa83cjGbP8JAajwksNyuTNl5nRABuGqzPelvSEl34Es2ccfdV0jJokGZLUuVkKcf3No5abq/fUEVP5Ji4CDn+vvm/3IejN2eUfwiZftTvqy5elO0oIU/FM/8etVq0aX3zxBbdv385yrhkhCoK7/5nLppmnE5/3zoO5bECdy+baPrCwhX4r1KUVntWj+W8cy6vrH215s9DOf1OupC1WD0dMBUbk44ipQ/MgKRpc60DNniiKwud/XARgZGtPGpaX7ighTEWuTOah1+vp2bMnW7ZsyY3TCZHrohKSGb70OCFRiVRxKcaPg/JgLhuAC1vh76/V9y9+B645W28tS7Yl4eUlYGYO/pvhRPbnlSpI9GY6Kqd2TeVTd3Z0MBx9uMBu+ylgZobvrQdcCY3BxkLPuHaV8ycOIUS+yIP/uwtRsCSlGBmz/BQXg6NxtlfnsnG0yeW5bADCrsDmN9T3TcdAnT65f42y3tDxYf3NH5Mh6HTuXyMf5HtR8YEvISUeyjaCql0AWHdCna28Wx037HN7biMhhKYkuREmTVEUJm88y99XwrC11LNkaCPKlrDN/QslxsCagZAYBeWbQ6cZuX+NR5qNhard/lN/U/gWg63imo9Fxfdvwsml6vsOU0GnIz7JwO+ngwByf3FUIYTmJLkRJu2bPQFsOHUbvZmOH15tSO0yeTCXjaKoc9DcuwDF3NSlE/R52BKg00HP+eBYDiKuwe9vFbr6m6ou+bjG1P4v1IVIK7aBiq0B2HEuiJjEFDycbGlSUWYiFsLUSHIjTNa6E7eYtzsAgP/1qE27ai55c6EjC+D8RrUWpu8ysM+HielsS0Kfxeo1z2+EE4vz/pq56FG31LV7saQYjHl3obAAOL1Sfd9haurmtQ+7pPo0LJs3ReVCCE1JciMKP0UB3+XgtzK1i+bvgDAmb1TnshnTthKvNMmDuWwAbhyCP6eo77t8BuWb5s11MlKuMXSYpr7/YzIEncm/az+jsiVssLHQk2QwcjMvR0zt/UxdrLRqN7VeCQgMj+PItQh0OujtVTbvri2E0IwkN6LwOzAHfhurFvN+WYXIXweyavlCMCbTo35p3s2rdYKigtSaF8UAdV6Gxhqs3N1sHFTtqk4WWIjqb8z+M2Iqz4qKg8+qrVoA7T9K3bz+pNpq07JyqbxZS0wIoTlJbkThdm4D7P1UfV+8PKQk4Hj1d37Qfc4p2/F8XWwFZndP5n5NSkoSrBsCsaHgUgte+EabNZ/MzKDnAnAoCxFXYeuEQlN/k+dFxX89/HtRqxe41QHAYFRYf/I2IIXEQpgySW5E4XX7BGx+uC5Zs3FEv36SccXm4pPSjQhdcRyMkehPLIKfO8B3XrDvc4i4njvX/nMK3DoKVo7qSt+Wdrlz3qfxqP5Gp1eTvUcjgwq4R3U3eVJUfOs4XN4BOjN1NuKHDl8N425kAo42Ftos2imEyBeS3IjC6UEgrOoPKQlQtRvJ7aczZqUvW8NcWWA9gtixZ+HVDVCnrzpTcMRV2PcZfFsffDqrC1DGRTzdtU+vgWM/qe97/QROlXLrrp5e+SbQ8WH9zY4P1C6ZAq6q66NuqTxoufnr4VD8+q9AqSqpm9eeUFttetQvLUstCGHCJLkRhU9CFKzsB7H3wLUOhl6L+HCzPwcDwrCxUOeyKVfKAap0hN6L4N0AeOknqNRe/U3+1lHY9g58WRVWvQLnN0NyQvauHXxWHXoN0Po9qNYtz24zx5qNhypd/q2/SSzYi9lWeTgc/FpYDMm5OWLq2n64fgDMLKDNB6mbI+OS2Xk+GJAuKSFMnSQ3onAxpMCG1yDUH4q58aDnrwxd4c+6k7cx08H3rzSgTtnH5rKxKgb1+sOgTfC2P3T+FNzqqnOfXNqm1s58WVWdq+bG32DM5Is2/r46UV9KPFTqAG0n5/395oSZmbpIp0MZCL8Cv08o0PU3ZYqrI6aSDQo3w2Nz56SKAn/9T33vPUytw3poy+k7JKUYqe5mT63SDrlzPSFEgSTJjShc/vwIAv4EcxsCOiziuWXXORgQhrWFGfP6N6BDjSfUUTi4Q/NxMPogjDkCLd9Wi3ETI+HUL7D0OfimLuz+BEIv/nuc0QibRsP9G+oXZu+fwawAdmukqb9ZD6eWaR1RpszMdLlfVHx5J9w+DuY20OrdNB896pLq611O5rYRwsRJciMKj2OL4OiPABysPZPn1sdy50E8FZxs2TSmBS/WK52z87nUgI7TYcJZGLIVGgwCKweIvKUufjm/CfzUGv75AfZ8Apf/AL0V9P1VTSIKqvJNocPH6vsdH0DwOW3jyUKV3Jyp2GhUV2QHaDIqzWSKF4KiOHsnEgu9jp4Nyjz7tYQQBZq51gEIkS1Xdqtf1MB2l1GMOeIOGOlU05Wv+tbD4VkWPjQzg4qt1Ff3OWoSc2at2kIUdDrt4pTPfw2l6z/TreSL5m+pEwxe2aV2u43aB1b2WkeVTq4WFftvhpCzaoLaYkKaj9Y9bLXpWMOVknaWz34tIUSBJi03ouALvQDrhoFiYJdlB8YEtsFMB+93rcZPA72eLbF5nIUN1HoJBqyCdy5D9y+hbGP1syajocHA3LtWXjIzU4uo7Uur9TdbJ2odUYZybTi4IeXf+Y6ajU3TspaUYmSz3x1AComFKCqk5UYUbDH3YGVfSIziJDUYGzUYJzsrvh3QgBaVS+Xtte2coPFI9ZUYoxYmFyZ2Tmr9zdLn4Oxa8BoCFVpqHVUaj2purofFkmwwYqF/yt+3zqxWkzibktB0TJqP/roYQkRsEi72VrSqksd/Z4QQBYK03IiCKzkBZfWr8CCQG0ZXRiS8Ra3yzmx9s2XeJzaPK2yJzSMezdSkBtTVsQuYMsVtsLPUk2JUuBH2lCOmUhLVCRpBLRC3TjsS6lEhcW+vspg/bfIkhChU5F+6KJgUhcSNY9DdPkqkYstrye/yYrM6rBnVDHdHWQ8oR1q+ra4efn0/BB7ROpo0dDodlVO7pp6y7ubULxAZCMXc1Fa2/wiJSmDfpVAAXpZFMoUoMiS5EQVS8O8zsLqwgWRFzwTjRMb3fY5PetTG0lz+yuZY8fLqTL0A+z/XNpYMVHV5NBz8KepukuLUhVMBWr+r1kz9x8ZTdzAq4O1RAk/nQtr6JoTIMfmmEAWKoij8velH3E59DcA8q9f5YOzrMnz3WbWcqM59c/Uvdd2lAuRRUXFA6FMkN8cXQUyImsA1HJLmI0VRWHdCXQFcComFKFokuREFRnySgW+XraKR3xQA/nR8mdcnzqC6m8wm+8xKVoR6A9T3BwpW7c1TT+SXEAl/z1Xft5kE5mmHeJ8KvM+1sFhsLPR0r+ueG6EKIQoJSW5EgXAzPJbR32/ilesfYKVL5nqpNnR688fcHeZd1LWaqK6tFfAn3DmldTSpHrXc3AiLJSklB2tM/TNfXRLDqQrU7Zfu47XH1ULi5+q6U8xKBoYKUZRIciM0t9s/hH7f/cnkB9Nx1kURU6ImFUeuRKeXL6Rc5VRJXSUd/q1TKQDcHa2xtzInxahwPbsjpuIi1JmjAdp/BI/9XYlLSmHrmbuAdEkJURRJciM0YzAqfLnzEq//cpRZhrlUN7uFwc6VYkPXF96h1wVd63cBHVzannbmZQ2pI6ZyWFT891xIiga3OlCjR7qPt58NJjbJQAUnWxpVKJGb4QohCgFJboQmImKTGLrkGN/vvcIU8+W0059GMbdB/8pqcJTi4TxTqgrU7q2+L0CtN1UfrjEVkJ3kJjpYXWcMoP3H6mzMj1n7sJD4ZVkkU4giSZIbke/8bj3g+W8PcjAgjNcsdzPMfCcAul4LoUxDjaMrAlq/B+jgwu8Qcl7raIAcFhUf+BJS4tVlMap0TvfxjbBYjl2PwEwHvRpKoixEUSTJjcg3iqKw/MhNXv7xMHcjE+hX/BJT9EvVDztMg5ovahpfkeFSHWr1VN8XkFmLU9eYetJw8Ps34eRS9X2HjyGDVpn1J9VC4lZVnGXCRyGKKEluRL6ITzLwzrrTTNl8jmSDwtAq8cxWvkanGKH+q+osuiL/tH5P/a//b+rCpBp7lNzcDI8jMcWQ+Y77PwdjMlRsAxVbp/vYYFRSkxspJBai6JLkRuQ5o1Fh6JJjbDx1BzMdfNLBhWnRn6BLjAaPFvD8vAx/Axd5yLUW1HgBUNRuHq3DcbDC3tocg1Hh2r1MRkzduwynV6nvO0zNcJe/r4QRHJVAcVsLOtZ0yaNohRAFnSQ3Is/9dvoOR69HYGepZ8Ww+gy5+SG6B4FQ0hP6LU83+ZrIJ63fV/97boOaOGhIp9P92zWVWVHxvs9AMUK17lDWO8NdHhUS96xfBitzfZ7EKoQo+CS5EXkqLimFz3dcAmBsu0o0OzMVbh8Da0d4ZS3YltQ4wiLMva6aKKDAwa+0joaqD4uKAzIqKg46A+c3ATpo91GGxz+IS2LX+RAA+sgimUIUaZLciDz10/5rBEclULaEDSON6+DcenWF6r6/qsOShbYe1d6cXQvhVzUNpYpLFi03ez9V/1u7F7jVzvD43/zukmQwUtPdgdplHPMqTCFEISDJjcgzdx/E89MB9QvzuzpXsTj4cEXq574GzzYaRiZSlWmoDqdWjHDwa01DeTQcPCD0sZabW8fh8h/qwp9tP8z0+LWpi2RKq40QRZ0kNyLPfPHHRRKSjfQrE079U+pimDQfD15Dsj5Q5K82H6j/Pb0K7t/QLIx/R0zFkpD8nxFTf81Q/1t/AJSqnOGx5+9Gcv5uFJZ6M3rUl7lthCjqJLkReeJU4H02+92lpC6K/yXORpeSoLYQdPxE69DE48p6Q6UOoBg0rb1xsbfCwdocowJX7z1svbmyG64fADOLf5OwDKw7oQ7/7lTTlRJ2UqAuRFEnyY3IdYqi8L+t/ugxsKbkQixj7qgjo3otAjMZwVIgPUoc/FbCg0BNQvjviKmAkBiIuA4bRqofNnoNipfP8LjEFAOb/e4A0Ee6pIQQSHIj8sCW03fxDXzAR1ZrqRJ7CizsoP9KsCmudWgiM+WbqBPjGVPURSk1UuVhcnPjThCs6g/xEeBeX53BOhN7LoTyIC4ZNwdrWldxzqdIhRAFmSQ3IlfFJxn4fMdFXjA7zHDd7+rGnvPBpYa2gYkne9R6c+pXiLytSQhVXYthhpH25z+EexehmBsMWAWWtpke86iQuLdXGfRmMhmkEEKSG5HLFh28hkPUZeZYLlQ3tHz733WMRMFWoQV4tFSXNzj0jSYhVHW1Z7L5SurGHwVzazWxcSid6f7BkQkcuHwPgD5estyCEEIlyY3INcGRCazcd5qfLL7GmiSo1B7af6x1WCIn2jyctfjkMogKyvfL1wnZzEjz7QAkvfDDE1eJ33DqNkYFGlcoScVSdvkRohCiEJDkRuSaOX+c53O+wcMsFKW4B/T2kQLiwqZiayjfDAyJcPjb/L329YPY71G7xr5O7sPlUp2y3F1RFNY97JKSQmIhxH9JciNyxelbD/A8O482+jMY9dbo+q+QpRUKI53u39abE4shOiR/rhtxDdYOQmdM4ZB1G741vERAaCZrTD104uZ9boTHYWup57k67vkTpxCiUJDkRjwzRVH4c/1CxppvAcCs5w/gVkfjqMRT82wHZRtBSkL+tN4kRMLK/hB/H0o35M8qUwEdlzNaY+o/1h5XW22er+uOnZV53scphCg0JLkRz2zf3wcY8+BLAGIbjoY6fTSOSDwTne7fkVMnFkPMvby7liEF1g2DsEtgXxr6r8TTvRQAAZmtDg7EJqaw7axaE/SytxQSCyHSkuRGPJOE6Agq/fU6drpEbjk2wu65T7UOSeSGyh2hdANIjoN/vs+76/w5Ba7uAXObhyOj3FPXmMqq5Wbb2SDikgxULGWHt0eJvItPCFEoSXIjnp7RSNCSwZRXggimFKWGrgC9dA+YhP+23hxbBLHhuX+NE4vh6AL1fa+foHR94N81pm7djyM+yZDhoamFxF5l0elkbhshRFqS3IinFvvnp1SMOEiiYsHFtguwKeGqdUgiN1XtCm51ITkWjszP3XNf2w/b31Pft58CNXukflSqmBUl7SxRFLjy+ArhwLV7MRy/cR8zHfRuKKOkhBDpSXIjns7F7dgdUetsfnR4kzZtsh62Kwqh/7beHP1JLfjNDeFXYe1gdamHOi9Dq3fT7VLF5VHXVPq6m/Un1dmT21R1xs3ROndiEkKYFEluRM7du4zh4YKGS1K60Orl8dI1YKqqdQfX2pAUDUd+fPbzxT+Alf0g4QGU8YYXv1OTqMc86pq6/NhwcINRYcMpNbmRQmIhRGYkuRE5kxCFsuZV9MkxHDVW52yt92hYXgo6TZaZGbR+2H10ZIGanDwtQwqsGwrhAeBQVl1M1cImw12rPiwqDnisqPhAwD1CohIpYWtBhxouTx+LEMKkSXIjss9ohM1voAu7TJBSkonKBN7tVlvrqEReq/EiOFeHxEg4tvDpz7NzMlzbCxa26sgo+8xrtB6tDv54t9SjQuKeDcpgZS6zXwshMibJjci+v7+Ci1tJwpw3kibQp7UXpYtn/Ju3MCH/bb355wdIiMr5OY4t+jcx6rUI3Otmufujbqnb9+OJTUwBICI2iV3+6ozJL8simUKILEhyI7InYBf8pc5hMyV5GMH2tXm9jafGQYl8U+slKFVVrZU5vihnx17dCzseFiZ3mAY1nn/iISXtLClVzBL4d8TUb353SDYo1C7jQM3SDjmLQQhRpEhyI54s/CpseA1QWKN0ZK2hHR90q4atpcxpU2SY6f9tvTn8PSRmvTRCqrArsG4IKAao2x9avp3tS1ZxSds1tfbEw0JiabURQjyBJDcia4kxsGYgJERy07Y2HycOol654vSoV0bryER+q9ULSlaC+Ag44fPk/ePvw8q+6tpRZRvDC99kODIqM49mKg4IjeHcnUguBEVhqTejR/3ST3sHQogiQvPkZv78+VSsWBFra2u8vLw4ePBgpvtu3LiRTp064ezsjIODA82aNWPnzp35GG0Royjw21gI9SfZxpm+998gCQumPl8TMzMZ+l3k6M2h9cM5aQ59C0lxme9rSIa1QyDiKjiWg/4rwCJnc9L8t6j4USFx51quFLe1fKrwhRBFh6bJzZo1a5gwYQIfffQRvr6+tGrVim7duhEYGJjh/gcOHKBTp05s376dkydP0q5dO1544QV8fX3zOfIi4tA34L8Zxcyc/9lOIkQpwYv1SuMla/kUXXVehhIVIC4MTi7JeB9FgR3vw/X9YGEHA1ZDsZwP2676cCK/C0FRbPa7C8jcNkKI7NEpiqJodfEmTZrQsGFDFixYkLqtRo0a9OzZk1mzZmXrHLVq1aJfv35MnTo1W/tHRUXh6OhIZGQkDg5SlJipq3/B8t6gGDnfYBrP/VMNK3Mz/nq3LWVkhFTRduoX2DIeirnCW6fTz1VzdCHseA/QqXPZVO/+VJe5H5tEg//tSv3Z3dGavz9oj15aDYUoknLy/a1Zy01SUhInT56kc+fOabZ37tyZw4cPZ+scRqOR6OhoSpYsmRchFl33b8D64aAYMdR7lTcu1gdgVGtPSWyEWhjsWB5iQuDksrSfXdkDfzwcGdXpk6dObABK2FlSqphV6s+9G5aVxEYIkS2aJTdhYWEYDAZcXdNO5OXq6kpwcHC2zvHVV18RGxtL3759M90nMTGRqKioNC+RhaQ4WD1QLQYt3ZAljuMIvB+Pi70Vo9tU0jo6URCYW0Krh6OeDs2D5AT1/b3LsG4YKEao9wo0f/OZL/VopmJQVwAXQojs0Lyg+PE1iRRFydY6RatWrWL69OmsWbMGF5fM+/NnzZqFo6Nj6qtcOemzz5SiwO9vQchZsC1F+HM+zNuvFnK+37U6dlYy9Fs8VP9VdQmF6CDw/RXiItSRUYmRUK4pvDAvRyOjMvNoMr8mFUtSoZTdM59PCFE0aJbclCpVCr1en66VJjQ0NF1rzuPWrFnDa6+9xtq1a+nYsWOW+06ePJnIyMjU161bt545dpN1ZAGcXQs6PfRdxpdHY4lJTKFOGUd6NZCh3+I/zK2g5QT1/d9z1VW+71+H4uXVkVHmVlkenl2Dm3nQvroLU56rmSvnE0IUDZolN5aWlnh5ebFr164023ft2kXz5s0zPW7VqlUMHTqUlStX8txzzz3xOlZWVjg4OKR5iQzcOAR/TlHfd/mMC1Z1WXNcHbU29QUZ+i0y0GAQ2LtD1B24cRAsi8GANWBXKtcu4elcjMVDG1GnrGOunVMIYfo07ZaaOHEiP//8M4sXL+bChQu8/fbbBAYGMnr0aEBtdRk8eHDq/qtWrWLw4MF89dVXNG3alODgYIKDg4mMjNTqFkzHrqkPZ5Hth9J4FDO3+WNU4Lm67jSqIAXbIgMW1tBiwsMfdNBnMbhKC4sQQnuaFlH069eP8PBwZsyYQVBQELVr12b79u14eHgAEBQUlGbOm59++omUlBTGjh3L2LFjU7cPGTKEpUuX5nf4puPOSbhzAvSW0Hkmuy/e49CVcCzNzZjUtbrW0YmCzHsYRN6C0g2gahetoxFCCEDjeW60IPPcZGDj63BmNdTtR9KLP9J57n5uhMcxtl0l3usiyY0QQgjtFYp5bkQBEXMPzm9U3zd+nV/+ucGN8Dic7a14o21lbWMTQgghnoIkN0XdyaVgSIIyXoQXr803ewIAeK9LNYrJ0G8hhBCFkCQ3RZkh+d/VnRu/ztzdl4lOSKFWaQf6NJQJ04QQQhROktwUZRe3qpOw2TlzuVQHVh5Vi7c/llW/hRBCFGKS3BRlRxcCEF93MGPXnMeoQLfabjT1dNI4MCGEEOLpSXJTVAWfhcDDKGbmjLtcj4DQGNwcrJn6gsxTIoQQonCT5KaoOvoTAMesW7DnjjmONhb8+lpj3B1l1W8hhBCFmyQ3RVFcBMrZdQDMud8GGws9i4c2osrDRQqFEEKIwkzG+hZByqlf0KUkcN7ogZ+uOj8PbIiXRwmtwxJCCCFyhbTcFDVGA9EHfwRgqaELX/WtT9tqLhoHJYQQQuQeSW6KmP1bf8EhMYgIpRh1ugynR/0yWockhBBC5CpJboqQ7WeDMD+xCIArZXsxuHUNjSMSQgghcp8kN0XE4SthfL/6d1qYnceIGY36vKt1SEIIIUSekOSmCDh7O5KRv5xggG4nALrq3dGV8NA4KiGEECJvSHJj4q7di2HokmOYJUXzssXfAOiavK5xVEIIIUTekeTGhAVHJjDI5xjhsUmML3kUayUBnGtAhVZahyaEEELkGUluTNSDuCQGLz7KnQfxeDrZ8JrlbvWDxiNBJ4tiCiGEMF2S3Jig+CQDry07weWQGFwdrFjTIRb9g+tg5Qh1+2kdnhBCCJGnJLkxMckGI2NWnOTkzfs4WJvzy/AmOPsvVT9sMBCsimkanxBCCJHXJLkxIUajwvvrz7D30j2sLcxYPLQR1cxD4MpuQAeNR2gdohBCCJHnJLkxEYqiMHPbBTb53kFvpmP+qw3xrlASjquT9lGlM5T01DZIIYQQIh9IcmMi5u+7yuJD1wGY06cu7au7QmI0+K5Qd2gySsPohBBCiPwjyY0JWH0skDk7LwEw5bka9GpYVv3g9GpIiganyuDZXsMIhRBCiPwjyU0h98e5ID7cdBaAMW0rMaLVw64nRYFjD7ukGo8CM3nUQgghigb5xivEDl8N481VfhgV6N+oHO91qfbvh9f2QdglsCwG9QZoFqMQQgiR3yS5KaTO3Ylk1C8nSTIY6VLLlZk9a6P77+R8xxaq/603AKwdtAlSCCGE0IAkN4XQ9bBYhiw+RkxiCk0qluSb/g0w1//nUd6/AZd2qO8bSyGxEEKIokWSm0ImJCqBQT5HCY9Noqa7A4uGeGNtoU+70/GfAQU824FzVU3iFEIIIbQiyU0hEhmXzGCfY9y+H4+Hky3LhjfGwdoi7U5JcXDqV/W9rP4thBCiCJLkppBISDbw2rLjXAqJxtneil+HN8HZ3ir9jmfXQsIDKO6hTtwnhBBCFDGS3BQSX/15iRM372Nvbc4vwxtT3sk2/U6KAkcfFhI3Hglm+vT7CCGEECZOkptC4PStB/j8rc4+PK9ffWq4ZzL66eYhCD0PFrbqIplCCCFEESTJTQGXbDDywYYzGBXoUb80HWq4Zr7zo+HfdfuCTYn8CVAIIYQoYCS5KeB+2n+Vi8HRlLC1YOrzNTPfMfI2XNiqvpfh30IIIYowSW4KsCuh0Xy75woA016ohVOxDAqIHzmxGBQDVGgFrrXyKUIhhBCi4JHkpoAyGhUmbThLksFI22rO9KhfOvOdkxPg5FL1feOR+RKfEEIIUVBJclNALT96kxM372NnqefTl+qkXVrhcec3Qlw4OJSFas/lX5BCCCFEASTJTQF050E8n++4CMD7XatTprhN5jsrChz9SX3faDjozfMhQiGEEKLgkuSmgFEUhSmbzhKbZMDbowSDmnpkfcDt4xDkB3oraDg0P0IUQgghCjRJbgqYLafvsvfSPSz1ZszuXRczsyy6o+DfVps6fcDOKe8DFEIIIQo4SW4KkPCYRD753R+A8e0rU9mlWNYHRAeD/2b1vQz/FkIIIQBJbgqUGVv9iYhNorqbPa+3qfTkA04uBWMKlGsCpevndXhCCCFEoSDJTQHx18UQfvO7i5kOPu9dF0vzJzyalCR1bhuQVhshhBDiPyS5KQBiElOYsukcAMNbVKReueJPPujCFogJgWJuULNH3gYohBBCFCKS3BQAX/xxkbuRCZQvacvEzlWzd9CjQmLv4aC3yLvghBBCiEJGkhuNnbgRwa9HbgIwq1cdbC2zMU/NXV+4fQzMLMBraN4GKIQQQhQyktxoKCHZwAcbzqAo0Ne7LC0ql8regUcfrv5dqyfYZ7FKuBBCCFEESXKjoR/2XuHqvVic7a34qHsWK37/V2wYnNugvm/8et4FJ4QQQhRSktxo5EJQFAv2XQVgxou1cLTNZt3MyaVgSITSDaCsd94FKIQQQhRSktxoIMVg5IMNZ0gxKnSp5Uq3Ou7ZO9CQ8p/h369DVotpCiGEEEWUJDcaWHLoBmduR2Jvbc6MHrWzf+DFrRB1B2xLQe1eeRegEEIIUYhJcpPPbobH8tWuSwBMea4Grg7W2T/42CL1v15Dwdwq94MTQgghTEA2xh2L3KIoCpM3niUh2UjzSk709S6X3QPhzBq4+Tfo9OrcNkIIIYTIkCQ3+WjdidscvhqOtYUZs3rVQZedmpmIa7DtHbj6l/pz3X7gWCZvAxVCCCEKMUlu8kloVAIzt6krfk/sVBUPJ7usD0hJgsPfwoE5kJIAeito/S60eCsfohVCCCEKL0lu8snU384TlZBCnTKODG9RMeudbx6GrW/DvYvqzxXbwPNzwSkbK4ULIYQQRZwkN/ngj3NB/HE+GHMzHZ/3rou5PpM67rgI2DUVfH9Vf7Zzhi6fQZ2XZdi3EEIIkU2S3OSxyLhkPv7tPACvt/GkZmmH9DspCpxeDX9+BHHh6raGQ6DjdLAtmX/BCiGEECZAkps89tn2C9yLTsTT2Y7x7auk3yHsCmx7G64fUH92qal2QZVvmr+BCiGEECZCkps8dPhKGGtO3ALg8951sbbQ//thcgL8PRf+/hoMSWBuA20/gGbjQJ/NpRiEEEIIkY7mk/jNnz+fihUrYm1tjZeXFwcPHsx036CgIF555RWqVauGmZkZEyZMyL9Acyg+ycCkjWcBGNTUg0YV/tO9dP0A/NgC9s9WE5vKHWHsEWj5tiQ2QgghxDPSNLlZs2YNEyZM4KOPPsLX15dWrVrRrVs3AgMDM9w/MTERZ2dnPvroI+rVq5fP0ebM3N2XCYyIw93Rmve7VlM3xobBptGw7AUIvwLFXKHPEnh1PZSooGm8QgghhKnQKYqiaHXxJk2a0LBhQxYsWJC6rUaNGvTs2ZNZs2ZleWzbtm2pX78+8+bNy9E1o6KicHR0JDIyEgeHDIp7c8HpWw94af4hjAosHupN+6rO4LdcHQkVfx/QQaMR0OFjsHbMkxiEEEIIU5KT72/Nam6SkpI4efIkkyZNSrO9c+fOHD58ONeuk5iYSGJiYurPUVFRuXbujCQ/XPHbqMCL9UrTvuR9WDoEAv9Rd3CrA89/A2W98jQOIYQQoqjSrFsqLCwMg8GAq6trmu2urq4EBwfn2nVmzZqFo6Nj6qtcuWyu5/SUftp/lYvB0bjZGJldfDP82FJNbCzsoPOnMHKfJDZCCCFEHtK8oPjx9ZUURcnemkvZNHnyZCIjI1Nft27dyrVzP+5KaAzf7rlCa7PT7LGZjO3ReWBMhmrdYexRaD4O9DJATQghhMhLmn3TlipVCr1en66VJjQ0NF1rzrOwsrLCysoq186XGaNR4fN1+/jS7Hte1P8DcYBDGej2BdR4Ps+vL4QQQgiVZi03lpaWeHl5sWvXrjTbd+3aRfPmzTWK6umdO7qLr0JH8qL+HxSdGTQdq7bWSGIjhBBC5CtN+0gmTpzIoEGD8Pb2plmzZixcuJDAwEBGjx4NqF1Kd+7c4Zdffkk9xs/PD4CYmBju3buHn58flpaW1KxZU4tbSFW3YXMSDhbnvqUnJfr+AKXraxqPEEIIUVRpmtz069eP8PBwZsyYQVBQELVr12b79u14eHgA6qR9j89506BBg9T3J0+eZOXKlXh4eHDjxo38DD09q2JYj9iOdfHyYKZ/8v5CCCGEyBOaznOjhfyY50YIIYQQuSsn39+aj5YSQgghhMhNktwIIYQQwqRIciOEEEIIkyLJjRBCCCFMiiQ3QgghhDApktwIIYQQwqRIciOEEEIIkyLJjRBCCCFMiiQ3QgghhDApktwIIYQQwqRIciOEEEIIkyLJjRBCCCFMiiQ3QgghhDAp5loHkN8eLYIeFRWlcSRCCCGEyK5H39uPvsezUuSSm+joaADKlSuncSRCCCGEyKno6GgcHR2z3EenZCcFMiFGo5G7d+9ib2+PTqfL1XNHRUVRrlw5bt26hYODQ66eu6ApSvcKRet+5V5NV1G6X7lX06MoCtHR0ZQuXRozs6yraopcy42ZmRlly5bN02s4ODiY9F+w/ypK9wpF637lXk1XUbpfuVfT8qQWm0ekoFgIIYQQJkWSGyGEEEKYFElucpGVlRXTpk3DyspK61DyXFG6Vyha9yv3arqK0v3KvRZtRa6gWAghhBCmTVpuhBBCCGFSJLkRQgghhEmR5EYIIYQQJkWSGyGEEEKYFElucmj+/PlUrFgRa2trvLy8OHjwYJb779+/Hy8vL6ytrfH09OTHH3/Mp0if3qxZs2jUqBH29va4uLjQs2dPLl26lOUx+/btQ6fTpXtdvHgxn6J+etOnT08Xt5ubW5bHFMbnClChQoUMn9PYsWMz3L8wPdcDBw7wwgsvULp0aXQ6HZs3b07zuaIoTJ8+ndKlS2NjY0Pbtm05f/78E8+7YcMGatasiZWVFTVr1mTTpk15dAc5k9X9Jicn88EHH1CnTh3s7OwoXbo0gwcP5u7du1mec+nSpRk+74SEhDy+m6w96dkOHTo0XcxNmzZ94nkL4rN90r1m9Hx0Oh1z5szJ9JwF9bnmJUlucmDNmjVMmDCBjz76CF9fX1q1akW3bt0IDAzMcP/r16/TvXt3WrVqha+vLx9++CFvvvkmGzZsyOfIc2b//v2MHTuWI0eOsGvXLlJSUujcuTOxsbFPPPbSpUsEBQWlvqpUqZIPET+7WrVqpYn77Nmzme5bWJ8rwPHjx9Pc565duwB4+eWXszyuMDzX2NhY6tWrx/fff5/h51988QVff/0133//PcePH8fNzY1OnTqlrjeXkX/++Yd+/foxaNAgTp8+zaBBg+jbty9Hjx7Nq9vItqzuNy4ujlOnTvHxxx9z6tQpNm7cyOXLl3nxxRefeF4HB4c0zzooKAhra+u8uIVse9KzBejatWuamLdv357lOQvqs33SvT7+bBYvXoxOp6N3795ZnrcgPtc8pYhsa9y4sTJ69Og026pXr65MmjQpw/3ff/99pXr16mm2vf7660rTpk3zLMa8EBoaqgDK/v37M91n7969CqDcv38//wLLJdOmTVPq1auX7f1N5bkqiqK89dZbSqVKlRSj0Zjh54X1uQLKpk2bUn82Go2Km5ubMnv27NRtCQkJiqOjo/Ljjz9mep6+ffsqXbt2TbOtS5cuSv/+/XM95mfx+P1m5NixYwqg3Lx5M9N9lixZojg6OuZucLkso3sdMmSI0qNHjxydpzA82+w81x49eijt27fPcp/C8Fxzm7TcZFNSUhInT56kc+fOabZ37tyZw4cPZ3jMP//8k27/Ll26cOLECZKTk/Ms1twWGRkJQMmSJZ+4b4MGDXB3d6dDhw7s3bs3r0PLNQEBAZQuXZqKFSvSv39/rl27lum+pvJck5KSWL58OcOHD3/iIrKF9bk+cv36dYKDg9M8NysrK9q0aZPpv1/I/FlndUxBFRkZiU6no3jx4lnuFxMTg4eHB2XLluX555/H19c3fwJ8Rvv27cPFxYWqVasycuRIQkNDs9zfFJ5tSEgI27Zt47XXXnvivoX1uT4tSW6yKSwsDIPBgKura5rtrq6uBAcHZ3hMcHBwhvunpKQQFhaWZ7HmJkVRmDhxIi1btqR27dqZ7ufu7s7ChQvZsGEDGzdupFq1anTo0IEDBw7kY7RPp0mTJvzyyy/s3LmTRYsWERwcTPPmzQkPD89wf1N4rgCbN2/mwYMHDB06NNN9CvNz/a9H/0Zz8u/30XE5PaYgSkhIYNKkSbzyyitZLqxYvXp1li5dypYtW1i1ahXW1ta0aNGCgICAfIw257p168aKFSv466+/+Oqrrzh+/Djt27cnMTEx02NM4dkuW7YMe3t7evXqleV+hfW5Posityr4s3r8N1xFUbL8rTej/TPaXlCNGzeOM2fO8Pfff2e5X7Vq1ahWrVrqz82aNePWrVt8+eWXtG7dOq/DfCbdunVLfV+nTh2aNWtGpUqVWLZsGRMnTszwmML+XAF8fHzo1q0bpUuXznSfwvxcM5LTf79Pe0xBkpycTP/+/TEajcyfPz/LfZs2bZqmELdFixY0bNiQ7777jm+//TavQ31q/fr1S31fu3ZtvL298fDwYNu2bVl+8Rf2Z7t48WJeffXVJ9bOFNbn+iyk5SabSpUqhV6vT5fVh4aGpsv+H3Fzc8twf3Nzc5ycnPIs1twyfvx4tmzZwt69eylbtmyOj2/atGmh/M3Azs6OOnXqZBp7YX+uADdv3mT37t2MGDEix8cWxuf6aPRbTv79Pjoup8cUJMnJyfTt25fr16+za9euLFttMmJmZkajRo0K3fN2d3fHw8Mjy7gL+7M9ePAgly5deqp/w4X1ueaEJDfZZGlpiZeXV+rokkd27dpF8+bNMzymWbNm6fb/888/8fb2xsLCIs9ifVaKojBu3Dg2btzIX3/9RcWKFZ/qPL6+vri7u+dydHkvMTGRCxcuZBp7YX2u/7VkyRJcXFx47rnncnxsYXyuFStWxM3NLc1zS0pKYv/+/Zn++4XMn3VWxxQUjxKbgIAAdu/e/VSJt6Io+Pn5FbrnHR4ezq1bt7KMuzA/W1BbXr28vKhXr16Ojy2szzVHtKpkLoxWr16tWFhYKD4+Poq/v78yYcIExc7OTrlx44aiKIoyadIkZdCgQan7X7t2TbG1tVXefvttxd/fX/Hx8VEsLCyU9evXa3UL2fLGG28ojo6Oyr59+5SgoKDUV1xcXOo+j9/r3LlzlU2bNimXL19Wzp07p0yaNEkBlA0bNmhxCznyzjvvKPv27VOuXbumHDlyRHn++ecVe3t7k3uujxgMBqV8+fLKBx98kO6zwvxco6OjFV9fX8XX11cBlK+//lrx9fVNHR00e/ZsxdHRUdm4caNy9uxZZcCAAYq7u7sSFRWVeo5BgwalGf146NAhRa/XK7Nnz1YuXLigzJ49WzE3N1eOHDmS7/f3uKzuNzk5WXnxxReVsmXLKn5+fmn+HScmJqae4/H7nT59uvLHH38oV69eVXx9fZVhw4Yp5ubmytGjR7W4xVRZ3Wt0dLTyzjvvKIcPH1auX7+u7N27V2nWrJlSpkyZQvlsn/T3WFEUJTIyUrG1tVUWLFiQ4TkKy3PNS5Lc5NAPP/ygeHh4KJaWlkrDhg3TDI8eMmSI0qZNmzT779u3T2nQoIFiaWmpVKhQIdO/jAUJkOFryZIlqfs8fq+ff/65UqlSJcXa2lopUaKE0rJlS2Xbtm35H/xT6Nevn+Lu7q5YWFgopUuXVnr16qWcP38+9XNTea6P7Ny5UwGUS5cupfusMD/XR8PWH38NGTJEURR1OPi0adMUNzc3xcrKSmndurVy9uzZNOdo06ZN6v6PrFu3TqlWrZpiYWGhVK9evcAkdlnd7/Xr1zP9d7x3797Uczx+vxMmTFDKly+vWFpaKs7Ozkrnzp2Vw4cP5//NPSare42Li1M6d+6sODs7KxYWFkr58uWVIUOGKIGBgWnOUVie7ZP+HiuKovz000+KjY2N8uDBgwzPUViea17SKcrDSkghhBBCCBMgNTdCCCGEMCmS3AghhBDCpEhyI4QQQgiTIsmNEEIIIUyKJDdCCCGEMCmS3AghhBDCpEhyI4QQQgiTIsmNEKJI0ul0bN68WeswhBB5QJIbIUS+Gzp0KDqdLt2ra9euWocmhDAB5loHIIQomrp27cqSJUvSbLOystIoGiGEKZGWGyGEJqysrHBzc0vzKlGiBKB2GS1YsIBu3bphY2NDxYoVWbduXZrjz549S/v27bGxscHJyYlRo0YRExOTZp/FixdTq1YtrKyscHd3Z9y4cWk+DwsL46WXXsLW1pYqVaqwZcuW1M/u37/Pq6++irOzMzY2NlSpUiVdMiaEKJgkuRFCFEgff/wxvXv35vTp0wwcOJABAwZw4cIFAOLi4ujatSslSpTg+PHjrFu3jt27d6dJXhYsWMDYsWMZNWoUZ8+eZcuWLVSuXDnNNT755BP69u3LmTNn6N69O6+++ioRERGp1/f392fHjh1cuHCBBQsWUKpUqfz7AxBCPD2tV+4UQhQ9Q4YMUfR6vWJnZ5fmNWPGDEVR1JXpR48eneaYJk2aKG+88YaiKIqycOFCpUSJEkpMTEzq59u2bVPMzMyU4OBgRVEUpXTp0spHH32UaQyAMmXKlNSfY2JiFJ1Op+zYsUNRFEV54YUXlGHDhuXODQsh8pXU3AghNNGuXTsWLFiQZlvJkiVT3zdr1izNZ82aNcPPzw+ACxcuUK9ePezs7FI/b9GiBUajkUuXLqHT6bh79y4dOnTIMoa6deumvrezs8Pe3p7Q0FAA3njjDXr37s2pU6fo3LkzPXv2pHnz5k91r0KI/CXJjRBCE3Z2dum6iZ5Ep9MBoChK6vuM9rGxscnW+SwsLNIdazQaAejWrRs3b95k27Zt7N69mw4dOjB27Fi+/PLLHMUshMh/UnMjhCiQjhw5ku7n6tWrA1CzZk38/PyIjY1N/fzQoUOYmZlRtWpV7O3tqVChAnv27HmmGJydnRk6dCjLly9n3rx5LFy48JnOJ4TIH9JyI4TQRGJiIsHBwWm2mZubpxbtrlu3Dm9vb1q2bMmKFSs4duwYPj4+ALz66qtMmzaNIUOGMH36dO7du8f48eMZNGgQrq6uAEyfPp3Ro0fj4uJCt27diI6O5tChQ4wfPz5b8U2dOhUvLy9q1apFYmIiW7dupUaNGrn4JyCEyCuS3AghNPHHH3/g7u6eZlu1atW4ePEioI5kWr16NWPGjMHNzY0VK1ZQs2ZNAGxtbdm5cydvvfUWjRo1wtbWlt69e/P111+nnmvIkCEkJCQwd+5c3n33XUqVKkWfPn2yHZ+lpSWTJ0/mxo0b2NjY0KpVK1avXp0Ldy6EyGs6RVEUrYMQQoj/0ul0bNq0iZ49e2odihCiEJKaGyGEEEKYFEluhBBCCGFSpOZGCFHgSG+5EOJZSMuNEEIIIUyKJDdCCCGEMCmS3AghhBDCpEhyI4QQQgiTIsmNEEIIIUyKJDdCCCGEMCmS3AghhBDCpEhyI4QQQgiTIsmNEEIIIUzK/wHE9/sg7og2SAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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HkpCQoPfnCg8Pp2nTpvnu0y4suGbNGl577TUaN26Mp6cnzz77LO+88w4Arq6ubNu2jZkzZ5KYmEiNGjX47LPP6Nu3L9evX+fkyZP88MMPxMXFERAQwPjx43n++ef1Hr+WRtHn/DUTkJiYiJubGwkJCbi6uho6HCGEKL20BPg4KO/7tuOh9zTDxWMAaWlpnD9/nuDgYBwcHAwdjtCTot7X0nx+S8+NEEKYmjurNiCVGyHuIsmNEEKYmuS7emyk50aIfCS5EUIIU6Ot3Fjb534vlRsh7iTJjRBCmBpt5ca/ofo1MUptMhZCAJLcCCGE6dEOQwU0Ub9m3VabjIUQgCQ3QghhepJzh6U8aoKDm3osfTdC6EhyI4QQpkabyLj4g0tA7n3SdyOEliQ3QghharSVmyp+aoIDUrkR4g6S3AghhKnRzpaSyo0QBZLkRgghTEnmbUjPbR6u4ndHciOVGyG0JLkRQghTok1ibBzUZmKp3JgUjUZT5G348OFlvnbNmjWZOXOm3s4zZbJxphBCmJI7+200Gum5MTFRUXlJ6K+//srkyZOJjIzU3efo6GiIsMyOVG6EEMKU3DlTCqRyY2L8/f11Nzc3NzQaTb77tm3bRvPmzXFwcKBWrVq89957ZGVl6R4/depUgoKCsLe3JzAwkAkTJgDQpUsXLl68yMsvv6yrApXV3LlzqV27NnZ2doSEhPDjjz/m+3lhMQB8/fXX1K1bFwcHB/z8/BgyZEiZ4ygPo0lupk+fjkaj4aWXXiryvK1bt+Z74+fNm1c5AQohhDG4s3ID+Ss3OTmGiclYKApkpBjmpocVotetW8dTTz3FhAkTOH78ON988w2LFi1i2jR1x/c//viDL774gm+++YbTp0+zcuVKGjVqBMDy5cupVq0a77//PlFRUfkqRKWxYsUKXnzxRV555RWOHj3K888/z4gRI9iyZUuxMezfv58JEybw/vvvExkZydq1a+nUqVO5/1zKwiiGpfbt28f8+fMJCwsr8rzz58/Tr18/Ro4cyZIlS9i5cydjx47Fx8eHwYMHV1K0QghhQHdXbrRJTk4m3L4Jzt6GicsYZKbCR4GGee63roGdc7kuMW3aNN58802GDRsGQK1atfjggw94/fXXmTJlCpcuXcLf358ePXpga2tLUFAQrVq1AsDT0xNra2tcXFzw9/cvcwwzZsxg+PDhjB07FoCJEyeyZ88eZsyYQdeuXYuM4dKlSzg7O9O/f39cXFyoUaMGTZs2LdefSVkZvHKTnJzMk08+ybfffouHh0eR586bN4+goCBmzpxJ/fr1ee6553jmmWeYMWNGJUUrhBAGdnflxsYOnHITGhmaMmn//fcf77//PlWqVNHdRo4cSVRUFKmpqTz88MPcvn2bWrVqMXLkSFasWJFvyEofTpw4Qfv27fPd1759e06cOAFQZAw9e/akRo0a1KpVi6FDh7J06VJSU1P1Gl9JGbxyM27cOO6//3569OjBhx9+WOS5u3fvplevXvnu6927NwsWLCAzMxNbW9t7HpOenk56erru+8TERP0ELoQQhnB35QbUvpvUWPVn/o0ME5cxsHVSKyiGeu5yysnJ4b333mPQoEH3/MzBwYHq1asTGRnJhg0b2LhxI2PHjuXTTz9l69atBX7+ldXd/TqKoujuKyoGFxcXDhw4QHh4OOvXr2fy5MlMnTqVffv24e7urrf4SsKglZtffvmFAwcOMH369BKdHx0djZ+fX777/Pz8yMrKIjY2tsDHTJ8+HTc3N92tevXq5Y5bCCEMRle5uTO50fbdWHjlRqNRh4YMcStHA69Ws2bNiIyMpE6dOvfcrKzUj2tHR0ceeOABZs+eTXh4OLt37+bIkSMA2NnZkZ2dXa4Y6tevz44dO/Ldt2vXLurXr6/7vqgYbGxs6NGjB5988gmHDx/mwoULbN68uVwxlYXBKjeXL1/mxRdfZP369Tg4OJT4cQVllAXdrzVp0iQmTpyo+z4xMVESHCGE6dJVbu74Rc9VFvIzB5MnT6Z///5Ur16dhx9+GCsrKw4fPsyRI0f48MMPWbRoEdnZ2bRu3RonJyd+/PFHHB0dqVGjBqCuX7Nt2zYee+wx7O3t8fYuvP/q6tWrHDx4MN99QUFBvPbaazzyyCM0a9aM7t2789dff7F8+XI2btwIUGQMf//9N+fOnaNTp054eHiwZs0acnJyCAkJqbA/s0IpBrJixQoFUKytrXU3QNFoNIq1tbWSlZV1z2M6duyoTJgwId99y5cvV2xsbJSMjIwSPW9CQoICKAkJCXp5HUIIUWmyMhRliqt6S4rJu3/zNPW+v14yXGyV7Pbt28rx48eV27dvGzqUMlu4cKHi5uaW7761a9cq7dq1UxwdHRVXV1elVatWyvz58xVFUT83W7durbi6uirOzs5KmzZtlI0bN+oeu3v3biUsLEyxt7dXivp4r1GjhgLcc1u4cKGiKIry9ddfK7Vq1VJsbW2V++67T1m8eLHusUXFsH37dqVz586Kh4eH4ujoqISFhSm//vprqf5MinpfS/P5rVEUPcxfK4OkpCQuXryY774RI0ZQr1493njjDRo2bHjPY9544w3++usvjh8/rrtvzJgxHDx4kN27d5foeRMTE3FzcyMhIQFXV9fyvQghhKhMCVfhi1CwsoF3bkDuUAX7v4e/X4aQfvD4z4aNsZKkpaVx/vx5goODS1X9F8atqPe1NJ/fBhuWcnFxuSeBcXZ2xsvLS3f/pEmTuHr1KosXLwZg9OjRzJkzh4kTJzJy5Eh2797NggUL+Plny/jHLISwcMm5w07OvnmJDeQt5JdooGZaIYyMwaeCFyUqKopLly7pvg8ODmbNmjWEh4fTpEkTPvjgA2bPni1r3AghLINuN/D8EytkCwYh8jP4VPA7hYeH5/t+0aJF95zTuXNnDhw4UDkBCSGEMdFWbqrctUibtnKTEgPZWWBtVP+1C1HpjLpyI4QQ4g6FVW6cfUBjBUoOpNyo/LiEMDKS3AghhKkorHJjZZ23YrGFrXVjoDkxooLo6/2U5EYIIUxFYZUbsLi+G+2KvIZa3l9UjIyMDACsra3LdR0ZmBVCCFNRWOUGwCUQiLCYyo21tTXu7u7ExMQA4OTkVOhirsI05OTkcOPGDZycnLCxKV96IsmNEEKYimT1g1wqNyrt7tfaBEeYPisrK4KCgsqdqEpyI4QQpiAnp+B9pbS0M6YspHID6rY7AQEB+Pr6kpmZaehwhB7Y2dnp9tEqD0luhBDCFNy+CTlZgAaq+N77cwvePNPa2rrcPRrCvEhDsRBCmALtcJOTF1jb3vtzF9k8UwgtSW6EEMIUaJuJXQoYkrrzfgus3AhxN0luhBDCFGingVcpoJkY8io3qXGQlV45MQlhpCS5EUIIU1Bc5cbJE6xyh6u0jcdCWChJboQQwhQUV7nRaKTvRohcktwIIYQpKK5yA+BqedPBhSiIJDdCCGEKiqvcgEUu5CdEQSS5EUIIU1CSyo0FLuQnREEkuRFCCGOnKKWr3CRKciMsmyQ3Qghh7NITIeu2eiyVGyGKJcmNEEIYO23Vxt4NbB0LP096boQAJLkRQgjjp+u3KWJICmQquBC5JLkRQghjV5J+G8ir3KQnQEZKxcYkhBGT5EYIIYxdSWZKAdi7gq2TeizVG2HBJLkRQghjp01UiqvcyCrFQgCS3AghhPHT7hVVXOUGZMaUEEhyI4QQxk9XuSlJciMzpoSQ5EYIIYydrnJTzLAU3JHcSOVGWC5JboQQwtjpZkvJsJQQJSHJjRBCGLPM2+rUbihl5UaGpYTlkuRGCCGMmTZJsXFUp3oXRyo3QkhyI4QQRu3OfhuNpvjz76zcKErFxSWEEZPkRgghjFlpZkpBXuUmM1XdcFMICyTJjRBCGLPSzJQCsHMCBzf1WPpuhIWS5EYIIYxZaSs3IH03wuJJciOEKLvsLFg7CY7/aehIzJe2clPFt+SPkRlTwsJJciOEKLszG2DP12qCIypGUgk3zbyTVG6EhZPkRghRdtci1K+JVyFNmlcrRHIpFvDT0iZCiZLcCMskyY0QouyiDuUdx54yXBzmTFe5KWFDMUjlRlg8SW6EEGV37WDe8Y1Ig4VhtrIzITVWPS5L5UZ6boSFkuRGCFE2SdGQfMeH542ThovFXCXHqF+tbMDJq+SP01VuJLkRlkmSGyFE2dxZtQEZlqoI2uTR2ResSvHf9Z07g8sqxcICSXIjhCibqIPqV7fq6lcZltK/pFIu4KelHcLKyYTUm/qNSQgTIMmNEKJstJWbsEfUr7cuqDtYC/1JLsMCfgA2duDkrR5LU7GwQJLcCCHKRlu5qdMTHD0ABeLOGDIi81PWyg1I342waJLcCCFKL+l6bkVAA/6NwDtEvV+GpvSrrJUbyN93I4SFkeRGCFF62qqNd12wrwI+96nfS3KjX+Wq3EhyIyyXJDdCiNLT9tsENFG/+tRTv8ZKcqNX5arcyEJ+wnJJciOEKD1t5SawifpVhqUqhl4qN9JzIyyPJDdCiNLTbrugq9zkDkvFnVV3Chfll5MDKbmL+EnlRohSkeRGCFE6yTfUjTLRQECYep9rNbB1VtdVuXXeoOGZjdQ4yMkCNFDFt/SPl8qNsGAGTW7mzp1LWFgYrq6uuLq60rZtW/75559Czw8PD0ej0dxzO3lSln0XotJoh6S86oC9i3psZaU2F4Nsw6Av2n4bJy+wti39410Dc69zHXKy9ReXECbAoMlNtWrV+Pjjj9m/fz/79++nW7duPPjggxw7dqzIx0VGRhIVFaW71a1bt5IiFkLomom1/TZa2qZi6bvRD12/TRmGpACcfUBjBUoOpNzQX1xCmAAbQz75gAED8n0/bdo05s6dy549e2jQoEGhj/P19cXd3b2CoxNCFEhbudH222hp+25kjyn90M2UKkMzMYCVtfrYpCj1VtYkSQgTZDQ9N9nZ2fzyyy+kpKTQtm3bIs9t2rQpAQEBdO/enS1bthR5bnp6OomJifluQohyKKxyo5sxJcNSeqHtlSlPUiJ9N8JCGTy5OXLkCFWqVMHe3p7Ro0ezYsUKQkNDCzw3ICCA+fPns2zZMpYvX05ISAjdu3dn27ZthV5/+vTpuLm56W7Vq1evqJcihPlLiYXEK+qxf1j+n+nWujmtzvQR5ZOcOyxV1soN5M2YSrxW/niEMCEGHZYCCAkJ4eDBg8THx7Ns2TKGDRvG1q1bC0xwQkJCCAkJ0X3ftm1bLl++zIwZM+jUqVOB1580aRITJ07UfZ+YmCgJjhBlpa3aeNUBB9f8P/OoCdZ2kJkKCZfBo0ZlR2depHIjRJkZvHJjZ2dHnTp1aNGiBdOnT6dx48bMmjWrxI9v06YNp0+fLvTn9vb2utlY2psQooyiItSvd/fbAFjbgGdt9Vj6bspPn5UbWetGWBiDJzd3UxSF9PT0Ep8fERFBQEBABUYkhNDRbbvQuOCf+8hKxXojlRshysygw1JvvfUWffv2pXr16iQlJfHLL78QHh7O2rVrAXVI6erVqyxevBiAmTNnUrNmTRo0aEBGRgZLlixh2bJlLFu2zJAvQwjLoV2Z+O5mYi0faSrWC0XRc+VGkhthWQya3Fy/fp2hQ4cSFRWFm5sbYWFhrF27lp49ewIQFRXFpUuXdOdnZGTw6quvcvXqVRwdHWnQoAGrV6+mX79+hnoJQliOlDi1lwaKr9zIsFT5pCVAVpp6XK7KjQxLCctk0ORmwYIFRf580aJF+b5//fXXef311yswIiFEobTr23jWAge3gs+5czq4ooBGUymhmR1t1cbeDWwdy34dbXKTGgtZGWBjV/7YhDABRtdzI4QwUoUt3ncnrzrqqrhpCZAcUxlRmSddv005hqQAnDzBKnfrBm3CJIQFkORGCFEyhS3edydbB3VKOECsNBWXmT76bUCtnEnfjbBAktwIIUqmJJUbuGNoSpKbMtPHTCkt3YwpWchPWA5JboQQxUu9CfG5zf2FNRNrafeYkuSm7PRVuQGZDi4skiQ3Qojiaas2HsHg6F70ubptGCS5KTO9Vm5kxpSwPJLcCCGKV5J+Gy0Zlio/XeVGn8NSUrkRlkOSGyFE8UrabwN5w1LJ1+H2rYqKyLzpa7YUSOVGWCRJboQQxStN5cbeBVyrqsc3ZDG/MtFn5cZVZksJyyPJjRCiaKk3If6ieuwfVrLHeOdWb6TvpvQyUiE9UT2Wyo0QZSLJjRCiaNr9pNxrqIvClYS2qVj6bkovObfCYuMI9q7lv5625yYtQU2chLAAktwIIYpW3GaZBZHp4GWXlDsk5eKnn+0r7F3B1kk9TpahKWEZJLkRQhStNM3EWjIdvOy0CYg++m0gd5Xi3GslytCUsAyS3AghilaaZmIt7XTw+MuQkaLviMzbnZUbfZG+G2FhJLkRQhTudjzcOq8el6Zy4+wFTl6AArGnKyAwM6bvyg3IWjfC4khyI4QonK6ZOKjkzcRauqEpmQ5eKlK5EaLcJLkRQhSuLP02Wtrp4DdO6isayyCVGyHKTZIbIUThytJvo+Uj2zCUSYVWbiS5EZZBkhshROHKU7nRJjcyLFU6FVK5kWEpYVkkuRFCFCwtAW6eU48Dm5b+8doZU3FnIStDf3GZs6wMSI1Tj/WxI7jWncNSiqK/6wphpCS5EUIUTNtM7FaGZmIA10CwcwElOy9JEkVLiVG/WtmAYxn+zAujTW4yUyA9SX/XFcJISXIjhCiYtt8moIT7Sd1No7ljpWJpKi4R3YaZfmClx/+e7ZzB3k09lqEpYQEkuRFCFKws2y7czVv6bkol6Y7kRt90Q1OS3AjzJ8mNEKJgumbiMvTbaMmMqdLRNhPrs99GS6aDCwsiyY0Q4l5piRB3Rj0uT+VGkpvSqdDKjcyYEpZDkhshxL2iD6tfXauBs3fZr6NdyC/uNORklz8ucyeVGyH0QpIbIcS9yrN43508aoK1PWSlQfylcgZlASqycuMamPscUrkR5k+SGyHEvcqzeN+drKzBu656LENTxZPKjRB6IcmNEOJe+qrcwB0rFUtyUyzpuRFCLyS5EULkl56U10xc3soN5E0Hl8pN0XJy8hbxq+jKjaxSLMycJDdCiPyiDgMKuFaFKj7lv55uIT9JboqUGgc5WYAGnH31f31tNSg7A27f0v/1hTAiktwIIfLTV7+Nlk899WvsKakYFEXbb+PsDdY2+r++jT04eanHidf0f30hjIgkN0KI/PTZbwPgWRs01pCeKP0eRdH121TAkJSWru9GmoqFeZPkRgiRn3bbBX1VbmzswDNYPZahqcLpZkpVQDOxlmzBICyEJDdCiDzpyXn7QAU01t917xyaEgXTVlMqtHIj08GFZZDkRgiRJ/oIoKjDF/qsIHjL7uDF0u4IXqGVG1nIT1gGSW6EEHn03Uyspa3c3JDKTaGkciOE3khyI4TIo+9mYi0fqdwUq1IqN7KQn7AMktwIIfJUVOVGOyyVGgupN/V7bXMhlRsh9EaSGyGEKiMlr+FX35UbO2dwC1KPZcbUvRSlcis3yddll3Zh1iS5EUKooo+AkqNWDipi+X8ZmipcWoK6czpUbOXG2Qc0VqBkQ8qNinseIQxMkhshhKqi+m20ZDp44bRVGwc3sHWouOextsnb2kH6boQZk+RGCKGqqH4bLW/ZY6pQldFvoyV9N8ICSHIjhFBVeOVGdgcvVGX022jJjClhASS5EULkNhPnJh0VXblJvALpSRXzHKaqMis3rrK/lDB/ktwIIeD6sdxmYr+8Dz99c/LM6/eQvpv8tJWbKr4V/1xSuREWQJIbIUTekJQ+95MqiG5oSpKbfLRVlIqYpXY36bkRFkCSGyFExTcTa2mTm1jpu8lHV7mpjORGKjfC/Bk0uZk7dy5hYWG4urri6upK27Zt+eeff4p8zNatW2nevDkODg7UqlWLefPmVVK0Qpixim4m1vKWpuIC6So3ldFQLJUbYf4MmtxUq1aNjz/+mP3797N//366devGgw8+yLFjxwo8//z58/Tr14+OHTsSERHBW2+9xYQJE1i2bFklRy6EGcm8nbewXmVVbiS5yc8QlZuUG5CVUfHPJ4QB2BjyyQcMGJDv+2nTpjF37lz27NlDgwYN7jl/3rx5BAUFMXPmTADq16/P/v37mTFjBoMHD66MkIUwP9FH1RVrnX3ANbBin0ub3Nw6D5lpFbtgnanISIX0RPW4Mio3jp5gZQs5mWpS5V694p9TiEpmND032dnZ/PLLL6SkpNC2bdsCz9m9eze9evXKd1/v3r3Zv38/mZmZBT4mPT2dxMTEfDchxB3u7LfRaCr2uar4gb2bOjPr5tmKfS5TkZw7PGTjCPauFf98VlYyNCXMnsGTmyNHjlClShXs7e0ZPXo0K1asIDQ0tMBzo6Oj8fPL/5uNn58fWVlZxMbGFviY6dOn4+bmprtVry6/pQiRT2X124CaPMnQVH5JdyzgV9HJpZYuuZGmYmGeDJ7chISEcPDgQfbs2cOYMWMYNmwYx48fL/R8zV3/+BVFKfB+rUmTJpGQkKC7Xb58WX/BC2EOKmumlJaPbMOQT3IlLuCn5SIL+QnzZtCeGwA7Ozvq1KkDQIsWLdi3bx+zZs3im2++uedcf39/oqPz/2OMiYnBxsYGLy+vAq9vb2+Pvb29/gMXwhxk3oaYE+pxZVRuIG/GlEwHVyVV4tYLWjIdXJg5g1du7qYoCunp6QX+rG3btmzYsCHffevXr6dFixbY2tpWRnhCmJfrx9RmYidvcK1aOc+p3R1cFvJTGaRyIz03wrwZNLl566232L59OxcuXODIkSO8/fbbhIeH8+STTwLqkNLTTz+tO3/06NFcvHiRiRMncuLECb7//nsWLFjAq6++aqiXIIRp0w5JBTapvH4P7bBU3GnIzqqc5zRmUrkRQu8MOix1/fp1hg4dSlRUFG5uboSFhbF27Vp69uwJQFRUFJcuXdKdHxwczJo1a3j55Zf56quvCAwMZPbs2TINXIiy0m270KTyntMtSJ0ZlHUb4i+CV+3Ke25jJJUbIfTOoMnNggULivz5okWL7rmvc+fOHDhwoIIiEsLC6JqJK3hPqTtZWYF3XYg+rC4eaOnJjUErN9cq7zmFqERG13MjhKgkmWmV30ysJdPB8xiycpOWoC4iKISZkeRGCEsVcwxystQVa90qef0n3QaaFt5UnJUBqXHqcWXsCK7l4KYODUJeciWEGZHkRghLdefifZXVTKyl20DzZOU+r7FJiVG/WtmoSWZl0Wik70aYNUluhLBUlb143510lZvTkLsQp0XS9ttU8VN7kSqTdh8xmTElzJAkN3p0OyObWymyy64wEZW57cLdPGup1YqMZEi8WvnPbyx0/TaV2EysJZUbYcYkudGTq/G3GTJvF88v+Y/M7JyKeZLsgjcHFaLUstLzmokNUbmxtgXP3FlSljw0pU0sKrPfRkvWuhFmTJIbPbmdkcXFuFT+PX+TD/4ufG+sEkuKhlPrYdun8OtQmNUYPvCG1bJgodCD68cgJxMcPcA9yDAx6GZMWXBTcfIdw1KVTSo3woyVaZ2by5cvo9FoqFatGgD//vsvP/30E6GhoYwaNUqvAZqKOr4uzHy0CSN/3M/i3RcJDXDlsVYl+NDIyYFb59U1P6IO533VNhrebd+3ENwJQh/Q7wsQluXOfpvKbibW8gmBE0jlBgxcuZHkRpifMiU3TzzxBKNGjWLo0KFER0fTs2dPGjRowJIlS4iOjmby5Mn6jtMk9Aj1Y2KP+/hswyne/fModf2q0LzGHTMgsjPV/8jvTGKij0BG0r0X01iBV10ICAP/MPXr6Q2wew78NQGqtQTXgMp7ccK8RB1Svxqi30bLW6aDG0XlJlEW8hPmp0zJzdGjR2nVqhUAv/32Gw0bNmTnzp2sX7+e0aNHW2xyAzC+Wx1ORCcSfuQCXy/+ic87gVv8CTWRuXESsgtoOLa2B7/QvCTGvzH4NQA7p/znBbWDC9vVD6Y/x8FTywz3W7cwbYbYduFuPndMB1cUy/y7bCyVG0v98xdmq0zJTWZmJvb29gBs3LiRBx5Qh0jq1atHVJSFNqcl34CDS9BEHWZO3CFwOIdVtgJb7jrP3g38G+WvyHjfpzZYFsfGDgZ9C990grOb4N9vobVlDgOKcsjKgJjcvjCDVm7qAhq4fQtSYqGKj+FiMRRDVm60z5mZAulJ4OBa+TEIUUHKlNw0aNCAefPmcf/997NhwwY++OADAK5du4aXl5deAzQZWWmwcSqQ16UdgwdHsmuS7deInt16oAloDO41yvcbkk8I9PoQ1rwKG95V+29865U7fGFBYo6rFUQHd/Xvo6HYOoJHDbh1AWIjLS+5ycmG5NzeOkNUbuyrgL0rpCeq1RtJboQZKdNsqf/973988803dOnShccff5zGjdVN91atWqUbrrI4btWgyZPQfYo6XPTqaU4/tZ9R2a8z6kofvr8ZBh419VP6bfkc1OmhJlTLn1N/ExeipO7cLNPQQxGWvFJxahwo2YAGnH0NE4NMBxdmqkyVmy5duhAbG0tiYiIeHh66+0eNGoWTk1MRjzRjGg0M/DrfXe3rwNv96vP+38eZtvo4IX4udKjrrZ/nevAr+Lqt2pAc/hH0mFr+6wrLYMjF++7mcx+cXmeZ08G1/TbO3mBdpv+Ky8/FX62ayYwpYWbKVLm5ffs26enpusTm4sWLzJw5k8jISHx9DfQbiJEa0b4mQ5pXI0eB8T8f4FKcnnbgdfGHB2arxztmwoWd+rmuMH+G3Hbhbj65Q6qxFrg7uK7fxgBDUlpSuRFmqkzJzYMPPsjixYsBiI+Pp3Xr1nz22WcMHDiQuXPn6jVAU6fRaPhwYEMaV3cnPjWTkYv3k5KepZ+L1x8ATYcCCqx4HtIS9HNdYb6yMtQF/MA4Kje6YSkLTG50M6UM0EysJQv5CTNVpuTmwIEDdOzYEYA//vgDPz8/Ll68yOLFi5k9e7ZeAzQHDrbWzB/aHB8XeyKvJ/HKb4fIydHTZoF9pqu9PAmXYc3r+rmmMF83TuQ2E7uBR7Cho1GHpUCtHFhacq7bV0oqN0LoW5mSm9TUVFxcXABYv349gwYNwsrKijZt2nDx4kW9Bmgu/FwdmPdUc+ysrVh7LJo5W87o58L2Lur0cI0VHP4Fji7Tz3WFedKtb2MEzcSgJlnaD9jY04aNpbJpdwSXyo0Qelem5KZOnTqsXLmSy5cvs27dOnr16gVATEwMrq4ynbAwzWt48OHAhgB8vuEU64/p6T+U6q2g02vq8d8vQ4IF77IsimZM/TZa3rnVG0ubMWVUlRtZpViYlzIlN5MnT+bVV1+lZs2atGrVirZt2wJqFadp06Z6DdDcPNKyOsPb1QTg5V8Pcvp6AVsvlEWn1yCwmVraXzla3bNKiLsZ00wpLW1TsaX13Rhb5UbR01C5EEagTMnNkCFDuHTpEvv372fdunW6+7t3784XX3yht+DM1dv316dtLS9SMrIZuXg/CamZ5b+ota06PGXrBOe3wV5p7BZ3yc7MayY2psqNtu/G0pIbo6jc5D53doa6UrQQZqJMyQ2Av78/TZs25dq1a1y9qg6DtGrVinr1ZLXc4thaW/HVk82o6u7IhbhUxv98gGx9NBh714HeH6nHG6fmfZAJAbl7m6WrW4B41jJ0NHl0G2haUHKjKMZRubGxB6fcVeWlqViYkTIlNzk5Obz//vu4ublRo0YNgoKCcHd354MPPiBHhkNKxNPZjvlPN8fR1prtp2P5ZK2e+g2aD4f7+qi/iS0bCZlp+rmuMH26ZuIw42gm1tIOS926CJm3DRtLZUmLVxNNMGzlBmTGlDBLZUpu3n77bebMmcPHH39MREQEBw4c4KOPPuLLL7/k3Xff1XeMZqtBoBufPhwGwDfbzrEyQg+NwBoNPDAHnH0g5hhs/qD81xTmQdtMbEz9NqCu0OvoASiWM2NKW7VxcANbB8PGIjOmhBkqU3Lzww8/8N133zFmzBjCwsJo3LgxY8eO5dtvv2XRokV6DtG89Q8LZGyX2gC8sewwR67oYa2PKj5qggOwew6cCy//NYXp01VumhgyintpNHcMTVnINgzG0G+jpUtupHIjzEeZkpubN28W2FtTr149bt68We6gLM0rvULoVs+X9KwcRv24nxtJ6eW/aEgfaD5CPV4xRpoFLV12Flw/qh4bW3ID6m73YDlNxcbQb6OlG5aSyo0wH2VKbho3bsycOXPuuX/OnDmEhYWVOyhLY22lYeZjTajl40xUQhpjl/5HRpYeepd6TwPP2uoaFn9PlKmeluzGSXUXeTsX42om1vKxsN3BjbJyI8mNMB9lSm4++eQTvv/+e0JDQ3n22Wd57rnnCA0NZdGiRcyYMUPfMVoEVwdbvn26BS72Nuy7cIv3/tLDTCc7Zxj8LWis4dhyOPJ7+a8pTJNu8b7GYFXmSZIVx8fChqWMsXKTKAv5CfNRpv/lOnfuzKlTp3jooYeIj4/n5s2bDBo0iGPHjrFw4UJ9x2gxavtUYfbjTdFoYOneSyzdq4etLKo2hy5vqserX4H4S+W/pjA9xrh43520PTdxZ9T1eMydVG6EqFBl/hUuMDCQadOmsWzZMpYvX86HH37IrVu3+OGHH/QZn8XpWs+XV3up/9FP+fMY+y7ooYepw0So1grSE2HFaMjJLv81hWkxxm0X7uRWDWydIScLbp43dDQVT1e5MYbkJrdyk3xd/m8QZsMI69NibJfa9A8LICtHYcyS/7gWX861P6xtYNA3YFcFLu6EXV/qJ1BhGrKzIDq3mdhYKzcaTd5KxZawmJ+ucmMEw1LOvurGu0o2pMQaOhoh9EKSGyOk0Wj4ZEgY9QNciU3OYNSP+0nLLOdvVJ61oO//1OPNH0LUofIHKkxD7CnIup3bTFzb0NEUztuCmoqNqXJjbaMmOCDTwYXZkOTGSDnZ2TB/aHM8ne04ejWRN5cdRinvbKcmT0K9/pCTmbt6sYWsBmvpdENSYcbZTKyl22PKzJuKM1IgI3fDXGOo3ID03QizY1OakwcNGlTkz+Pj48sTi7hLdU8nvnqiGU8t2MvKg9doEOjGyE7lmMar0cCA2XBln1r63zg1r5ojzJexLt53N93u4GZeudEmELZOYO9i2Fi0XALUJFgqN8JMlOrXODc3tyJvNWrU4Omnn66oWC1S29peTO4fCsD0f06w5kg5//Nx9oKBX6vHe+fBmY3ljFAYPWPdduFuulWKT4M571GXnDskVcXPePb4ksqNMDOlqtzING/DeLptDY5fS+TX/ZcZu/QAfRv6827/UALdHct2wTo9oNUo+Hc+rBwLY3arSY8wP0nRplO58agJ1nZqf1DCZfCoYeiIKoY2gTCGfhst2TxTmBkjHoAXWhqNhg8GNmRkx2CsrTT8czSaHp9vZf62s2Rml/E33B7vqb8pJ1+Hv1+U1YvN1ZZp6u7T1VqCd11DR1M0axvwqqMem/M2DMkx6ldj6bcB2V9KmB1JbkyEnY0Vb98fyuoJHWhRw4PUjGw+WnOS/rN3lG0tHDsnGDQfrGzhxF9w8Cf9By0MK+YERCxRj3tNM54hkKJ4W8B08GSp3AhR0SS5MTH1/F357fm2fDokDE9nOyKvJ/HwvN28+vsh4pJLueFmYBPo+pZ6/M/rlrF4miXZMBmUHKg/AIJaGzqaktE1FZtxcpN0R8+NsZCeG2FmJLkxQVZWGh5uUZ1NEzvzeKsgAP747wrdPtvK0r0XyckpxRBT+xchqB1kJMOK59UF34TpO7cVTq8HKxt1CNJU6KaDm3FyY4yVG9dA9WvKDcvY/kKYPUluTJiHsx3TBzVi+dh2hAa4knA7k7dXHOWhubs4ejWhZBexsoaH5oG9K1zeC182hZ2z4fatig3elFzcBbOawIHFho6kZHJyYP076nGLZ8DLiBfuu5u2chMbab59YMZYuXH0VIeoIW82lxAmTJIbM9AsyINV49szZUAoVextOHQ5ngfm7GDqqmMkppXgtzCPGmr/jaOHurHmhnfh81D46yWIMfM1R4qTEgu/j4Bb52GNiQzdHfkdog+rCWvnNwwdTel41VG3AkhLMN8PWWOs3FhZydCUMCuS3JgJG2srRrQPZvMrnRnQOJAcBRbtukD3z7by58Grxa9uHNIXJp6AB74Ev4aQmQr/LYSvW8PiByHyH8vbVC8nB1aOyfswyroNqycad0UhMw02f6Aed3gJnL0NGk6p2dirU8LBPIemsjIgNU49NoYdwe8kM6aEGZHkxsz4ujrw5eNNWfJsa2p5O3MjKZ0XfznIk9/t5UxMctEPtnWEZk/D6B0wfLXaiKqxgnPh8PNj8GUz2P0V3I6vjJdieHvnqn0rNg7wyI9gbQ9nN8ORPwwdWeH2zlPXiHGtCm3GGjqastENTZnhNgwpudPArWzBydOwsdxNKjfCjEhyY6Y61PXmn5c68mqv+7C3sWLX2Tj6ztrGp+tOcjujmAqMRgM1O8CjS+DFQ2rTsYM73LoA695Sh6xWv2LeewBdi4ANU9Tj3h9B6APQ+TX1+7VvQmoZpt9XtNSbsP1z9bjbO2qyaoq008HNcRuGJCNcnVhLpoMLMyLJjRmzt7FmfLe6bHi5M11DfMjMVvhqy1l6frGVTSdK2M/gHgQ931eHrAbMAt9QyEyBfd/BVy3hx4fg1DrzWi4/PQn+eEbdYLT+A2pTLkC7F8GnPqTGwvp3DRtjQbZ+AukJ4NcIwh41dDRl56PdHTwSRVG4kVTKJQ6Mma7fxoiaibW0lZtESW6E6ZPkxgIEeTnx/fCWfDO0OYFuDly5dZtnf9jPyMX7uXIrtWQXsXOC5sNhzC4Y9pe6uzgadZjmp0dgTnPYMxfSEivypVQ8RYG/J8LNc+BWHR6Ynfcbto2dmuABHFwC57cZLs673TynJpwAvd5XZ8GZKm1yE3uKZQeu0nLaRqatPm7YmPRFO+RjbP02IJUbYVYkubEQGo2G3g382TCxM893roWNlYYNx6/T8/NtzA0/S0ZWCSsvGg0Ed4LHlsKLB6HdC+Dgpn64rn0TPq8Pa15TNz80RYd+hiO/gcYaBi9QZ5DdKag1tHhWPf7rJbWB1xhsfE+tNNXuDrW7GTqa8tEOSyVfZ/VeNan5dvv58m8aawy0M8CMuXIjPTfCDBg0uZk+fTotW7bExcUFX19fBg4cSGRk0TMkwsPD0Wg099xOnjTD8fkK4Gxvw6S+9VnzYkdaBXtyOzOb/609Sb/Z29l9Nq50F/OoCb0+VIes+n+hNoJmJKsbcs5pAUsGw+mNpjNkFXsaVr+qHnedVPiqvj2mqL953zwL2z+rvPgKc3kfHF8JaNQhRFNn7wKu1QBIvHJMd/frfxzmfGyKoaLSD6Ou3OQu5CeVG2EGDJrcbN26lXHjxrFnzx42bNhAVlYWvXr1IiWl+P/AIiMjiYqK0t3q1jXyTQGNzH1+Lvw6qg2fPdwYL2c7zsQk8/i3e3jvr2Mlr+Jo2TmrfSlj98DQlXBfX0ADZzbC0sFqb87e+Wovi7HKSoc/Rqj9RMGdoMPEws91cIN+n6jHO75Q93AyFEXJW7CvyZPg39BwsehT7krFdTRXqR/gSquaniSnZzF26QHSMk14SQJTqNykxUPmbYOGIkR5GTS5Wbt2LcOHD6dBgwY0btyYhQsXcunSJf77779iH+vr64u/v7/uZm1twj0GBqLRaBjcvBqbX+nCk63VbRwW7rzAo/N3czW+DP+5aTRQuys88QtMOABtxqkLycWdgX9eg5lhapXBGG2YDNFHwMkLHppffM9K/QfUJC4nE/560XDVqZN/w+U9YOMI3d42TAwVwVvtu6mjuUq/hv7MfrwpXs52nIhK5L2/jhXzYCNmzJUbBzf17xHI0JQweUbVc5OQoG4Z4OlZ/PoPTZs2JSAggO7du7Nly5ZCz0tPTycxMTHfTeTn5mTLtIca8e3TLXB1sCHiUjz3z97OlsiYsl/Usxb0+Ugdsuo3Azxrw+2b6oKAxtSIC3Byjbo+DMDAeeAaUPxjNBq4fwbYVVG3rTiwqEJDLFB2Zt509bbj8vYHMgNpHmolto7mKr0a+OPv5sDMx5qg0cDP/15m+YErBo6wjIy5cqPRSN+NMBtGk9woisLEiRPp0KEDDRsWXloPCAhg/vz5LFu2jOXLlxMSEkL37t3Ztq3gD8zp06fj5uamu1WvXr2iXoLJ6xnqx+oJHWlU1Y341ExGLNzHp+tOkpVdjqqEfRVoNRKe3wbBndVhn6UPw6n1+gu8PBKuwp+5i921HQ/39Sr5Y92qqevJAGyYWvkfCP8tUvt+nLzVtYjMyIFUXwDq21zjPr8qAHSs68OEbmrS8/aKo5y+bsTDnAXJyYbk3F8YjLFyAzJjSpgNo0luxo8fz+HDh/n555+LPC8kJISRI0fSrFkz2rZty9dff83999/PjBkzCjx/0qRJJCQk6G6XL1+uiPDNRnVPJ/4Y05ahbWoA8NWWszy1YC8xSeWcFWRfBZ74TR3KyUqDX56AYyv0EHE55GTD8pHqJqEBTaD7lNJfo9UoCGyqri/zTyXu45SWCOEfq8dd3gQH18p77krw9zU1ofFXbqDJzFuuYEL3unSo483tzGzGLD1AaoYJ7WKfGgdKNqABZx9DR1MwqdwIM2EUyc0LL7zAqlWr2LJlC9WqVSv149u0acPp0wVPPba3t8fV1TXfTRTN3saaDwY2ZPbjTXGys2bPuZv0m7Wj9LOp7mbrAI/+CA0Hq70qfzwDEUv1E3RZbPsULu5Uh5aGfK+uY1NaVtYwYLY6dfz4Sohcq/cwC7RzprqYoFcddf0hM5KRlcNfZzKIVXL/rd6xDYO1lYaZjzXB18WeMzHJvL3iaPH7phkLbcLg7APWNoaNpTC6ys01w8YhRDkZNLlRFIXx48ezfPlyNm/eTHBwcJmuExERQUBACfokRKk80DiQVeM7EOLnQmxyOk9+t4evtpwhJ6ccHybWtjDoW2g6FJQcdUho73z9BV1SF3bC1v+px/2/AK/aZb9WQJja8wLqthTpxezhVV4JV9U9vgB6vKf+mZqRPefiSErL4qIm9xedu7b58K5iz5ePN8XaSsOKiKv8ss9EqrHG3G+jJZUbYSYMmtyMGzeOJUuW8NNPP+Hi4kJ0dDTR0dHcvp03U2fSpEk8/fTTuu9nzpzJypUrOX36NMeOHWPSpEksW7aM8ePHG+IlmL06vlVYOa49g5tVI0eBT9dF8swP+7iVklH2i1pZq7uPazd2/Oe1vD2RKkPqTVj2nJpcNXkSwh4p/zW7vAnuNSDxCmyZVv7rFWXLNHVoL6gt1Lu/Yp/LANYfVz9YMz1zF/OLvXftq9a1vHi1lzqjasqqYxy7llBp8ZWZMc+U0tJVbiS5EabNoMnN3LlzSUhIoEuXLgQEBOhuv/76q+6cqKgoLl26pPs+IyODV199lbCwMDp27MiOHTtYvXo1gwYNMsRLsAiOdtZ89khjPhkchr2NFeGRN7h/9nYOXLpV9otqNOqGlJ1eV7/f9B5sel9dt6UiKQr8OU4tu3vVhb6f6Oe6ds7QPzdB2zsPrh7Qz3XvFn0EDv6kHvf60Pg2XyynnByF9cfUCodnzdyJBTcKXtjz+U616FbPl4ysHMYtPUBiWmZlhVk2xryvlJarNBQL82DwYamCbsOHD9eds2jRIsLDw3Xfv/7665w5c4bbt29z8+ZNtm/fTr9+/So/eAv0SMvqrBjbnmBvZ64lpPHoN7v5fsf5svc8aDTq2izaVXW3f6Zu4VCRa8b8Ox8i14C1ndpnY19Ff9eu0wMaPaxWhP6aANkV0Oy6YTKgQIOHoFoL/V/fwA5diScmKZ0q9jbUrNdUvbOQ5MbKSsNnDzemqrsjF+JSeXPZYePuv7lzR3BjJZUbYSaMoqFYmI7QQFdWjW/P/Y0CyMxWeP/v44wt72/N7V+E+3O3Mdg7D1a9oM5k0reow3mr+fb6UO2V0bfe08HBXa2w7Plav9c+s0ndqNTKtmwzu0zAutyqTZcQH+z8Q9U7b56DrIKHQT2c7ZjzRFNsrTWsORLND7suVFKkZZBsAsNS2sQrI9m4VxQXohiS3IhSc3GwZc4TTZk6IBRbaw3/HI3mgS93lK/voeVz8NA3oLFSd9xe9myhH2hlkp6szs7KzoCQfuoU7opQxUdNnADCp8OtC/q5bk52btUGdd0gz7I13xs7bb9N7wb+ahXBzkWdPn3zbKGPaRrkwVv96gMwbc0JIsozXFqRkkygodi+irqqOEj1Rpg0SW5EmWg0Goa3D+a359vqhgUe+noXv/x7qexDA40fg4d/UCsTx1bAr0/pb4+bf16HuNPq5oAPflWxvSpNn4KaHSEzVZ09pY+hkkO/wPWjYO8GnV4r//WM0JmYJM7dSMHO2oouIT7qe5S7x1RhQ1Naw9vVpG9DfzKzFcb/FEF8qh4TY30xhcoN3DFjSvpuhOmS5EaUS9MgD1ZP6KBr7Hxz+RFe+e1Q2RdXC30AHv8FbBzg9Dp1NePyTq0+/BscXKpWhQZ/B07Fb+9RLhqNOr3c2k7dPPTosvJdLyMVNudWgzq9UvHxG4h2SKpdHS9cHHKnt/vUU7+e3VxkkqjRaPjfkDBqeDlxNf42r/x2qHxLFuibophG5QZkOrgwC5LciHJzd7Lju6db8HqfEKw0sDziKgO/2smZmDKO2dftAU8tV4ckLmyHHweqqwiXRdxZ+Ptl9bjT61CzfdmuU1redfMqLGvfVKefl9Wer9XZXW5B0Op5/cRnhNYfUz9Me4XeUdmo3U39euAHdTXpjNQCHqlydbDlqyeaYWdjxaaTMczffq4iwy2dtHjITlePjb5yk9tUnCgL+QnTJcmN0AsrKw1ju9Thp5Ft8HWx59T1ZB6Ys5M/D14t2wVrtodhf6rNuVf2wQ8DIPlG6a6RlaH22WQkQ432lT+c0/4ldXfrlBt5/TKllXwDdsxUj7u/q67ybIaiEm5z6EoCGg30CPXN+0HDwdD3U3UF6CO/w/e9IP5SoddpWNWNqQMaAOqaTP+eL0dSqU/aqo2Dm/G/h1K5EWZAkhuhV21qebF6Qkfa1fYiNSObF385yNsrjpCWWYbZT1Wbw4g14Oyrzj5a1K90v01ueg+iDoKjh7oqcmUveW9jBwNmqccRP8KFHaW/xtb/QUYSBDSGhkP0G58R2XBc/fBvFuSBr8sdH/4aDbQeBcNWqRuERh+BbzrDua2FXuvxVtV5qGlVsnMUXvj5ALHJ6RUdfvFMpd8GZPNMYRYkuRF65+Niz4/PtmZCtzpoNLB07yWGzNvFpbjChxQK5dcARvwDrtXUPYa+7wM3zxf/uFPrYfcc9fjBr8GtaumfWx9qtM3b++mvlyCrFB+0sWfgv4Xqca8Pwcp8/7lqF+7r3aCQfpSaHeD5reoGp7dvwo8Pwe6vC+zD0Wg0fDiwIXV8q3A9MZ2XfjlItqH7b0yl3wZkrRthFsz3f0thUNZWGib2CmHh8JZ4ONly9GoifWZt472/jnH5ZimTHO868Mw/4FkL4i/Cwr5Fz55JjIKVo9XjVs9DPQMv8tjjPXX9kLjTpdtmYuMUyMmCur0huFPFxWdgCamZ7Dmnbsqar9/mbm7V4Jm10PhxdXr4ukmw4vkCZ9Q529sw98lmONpas+NMLF9uLnhj3UojlRshKpUkN6JCdQnxZfWEjrSs6UFqRjYLd16g86dbGPfTAQ5eji/5hdyD1AqOT331P92FfSHq0L3n5WTDilGQGgd+jfJWPzYkR3fom7tJ5/bPip3WDMDF3XDyb3WGlzG8hgq0OfI6WTkKIX4u1PR2LvpkW0cYOBf6fKz24Rz+Fb7vDfH3bp5Z18+FaQ+pWzjM2nSaHadjKyL8kjGpys0dPTfGvOKzEEWQ5EZUuEB3R357vi2Ln2lFx7re5Ciw+nAUA7/aySPzdrPh+PWSTdt18Vd7cAKbqsnLogFw+d/85+z4As5vA1tneHih8TRvhg5UKzA5merwVFFbTCgKbHhXPW46FHzrVUaEBrPuqPrB36uwIam7aTTQZgw8vRKcvNQkd35nOL/9nlMHNavGYy2royjw4i8RXE9M02PkpWBSlZvcGLPTyz5LUQgDk+RGVAqNRkOn+3z48dnW/PNiRwY3q4attYZ/L9xk5OL99Ph8K0v2XCy+8djJE55eBUHtID0BFg+Ec+Hqzy7thS0fqcf9PlWnYxsLjQbun6EmXZd2QcTiws89vlKdIWbrDF3fqrQQDSEtM5utp9RZcL0blPKDP7gTjAoH/zA12V38IOyZd0+1YeoDDagf4EpcSgYv/BRBVnYF7l1WGF3lxgSSGxt7cMxdS0n6boSJkuRGVLr6Aa589khjdrzRjTFdauPqYMO52BTeWXmUdh9v5osNp4qe4eLgCk8tU9dAyUyBpY+oK/gue1btxWj0CDR5ovJeUEm5B6kbhQKsn5z3gXenrAzY+J563O4F0/gwLIftp2O5nZlNoJsDDQJdS38B9yB4dj2EPaq+92vfgJVj8vXhONha8/WTzahib8O/F27y2YZTenwFJaSr3JjAsBRI340weZLcCIPxc3XgjT712D2pO1MGhFLNw5GbKRnM2nSadh9vZtLyw5yJKWR1YjsndSXjev3V8vmK5yHhMngEQ//PK3Z7hfJo9bw64yc9QV3c7277F8Ct8+qHYLsXKj28yqZbuK+BP5qyvme2juq+ZL0/UvtwDv2szqpLuKI7Jdjbmf8NVjdKnRt+lk0nCkgsK5IpVW5A1roRJk+SG2FwzvY2jGgfTPirXfjqiWY0ru5ORlYOP/97mR6fb+XZRfvYcy7u3j2rbOzVvajCHlW/t7KFId+DvUvlv4iSsrZR177RWMGx5eqUda3b8eq6NgBdJqmbGJqxrOwcNp4oZb9NYTQaaDsOhq5Qh1SiDqrr4dyxttD9YQEMb1cTgIm/HeLKrTIsTVAWGSnqWkVggpUbWaVYmCZJboTRsLG24v6wAFaObcfvo9vSM9QPjQY2nYzhsfl7eGDOTlYdupa/Z8LaBgbOgwfmqA2mVZsZLP4SC2wCbcaqx6tfyds7a8fnagOnd4jaSGzm9l+8xa3UTNydbGlVU0/7ZdXqnNuH0whSY9U+nL3zdX04k/rVo3E1NxJuZzLupwgysiqh/0Zb/bB1Mu7E+05SuTGsWxfUmZXpZdzCRkhyI4yPRqOhZU1Pvn26BZsmdubJ1kHY21hx5GoCE36OoPOn4Xy3/RxJaZnqA6ysoNlQdaE3U9H1LXWvqIRLED5d3VJgzzz1Zz3fr/zVlA1gXe6QVPd6fthY6/G/Io8a8Mx6dUXnnCz45zX4cxxkpmFvY82cJ5rh6mDDocvxTP/nhP6etzDJuUNSVfyMd7j0bq6ykJ/B5OTAr0Nh0/uwYYqhozFZktwIo1bLpwrTHmrErje78XKP+/BytuNq/G0+XH2CdtM3M33NCaIS7l3EzejZOau9QaBujLl8lNo7VLMj3NfbsLFVAkVRdKsSl3tIqiB2TuoO8L0+VIcADy5V10ZKuEp1Tyc+f6QJAAt3XuCfIxXcNKtNEEyl3wakodiQDv8K0YfV4/8WqZv/ilKT5EaYBK8q9rzYoy473+zGx4MaUdvHmaT0LL7Zdo6O/9vCS79EcOq6iZVw6/ZUN4ZUcuDSbvW+Xh+Yzm/35XDsWiJX42/jYGtFp7o+FfMkGo3alP3UcnV/sWsH1PVwLu6iR6gfz3euBcDrfxzmv4sVuMHmnZUbUyHDUoaRkapWbADs3dQZgJs/MGxMJkqSG2FSHGyteaxVEBte7syCYS1oU8uTrByFlQev0W/Wdj5Ze7Jsm3QaSp+P1Z2iARo9rC5QaAHW526U2amuD4521hX7ZLW7qn04fg3VHdp/GAD/fsurPe+jVbAnSelZPDZ/D0v3Xry3aV0fTLpyE130gpNCv/Z8pTZxuwXB0ysADRxbAVf/M3RkJkeSG2GSrKw0dK/vxy+j2vLX+A70DPUjK0fh6/Cz9J21XbdXkdGr4qvO8Go4BHpNM3Q0lUY7BbzUC/eVlUdNdT2cBoPUPpw1r2K7egILn2rE/Y0CyMxWeHvFUSYtP0J6lp6TY1Os3Dj7Ahq1cpBqwG0rLEnSddgxUz3uMQWqNofGj6nfb5wqW2GUkiQ3wuQ1qubGt0+34JuhzfFzted8bAqPzd/Dm8sOk5CaaejwilenBwxZYBr7DunBpbhUTkYnYW2loXt938p7YjtnNZHs8Z7ahxOxBOefHmBOfz/e7FsPKw38su8yj36zh+gEPW7TYIqVG2sbNfEG6bupLOHTISMZApupSTioEw+s7dQtZc5uNmx8JkaSG2E2ejfwZ0Pu7CpQP6h6fLGVf45EVcxwgyiT9cfVD/vWwZ64O9lV7pNrNNDhJXjyD3Bwh6v/oZnfmdFO4fzwdGPcHG05eDme/l/u4N/zeurDMcXKDUjfTWWKOQEHflCPe09TZ4CCugJ3y5Hq8cYpMkRYCpLcCLPi6mDLtIca8dvzbanl48yNpHTGLD3AqB//0+9v46LMtFPAe4Ua8MO+TncYtQV8G6h9OKsn0vGf3mzpfJaGfg7EJqfzxLd7WLz7QvkTY1Os3EBe302iLORX4da/q04sqNcfarTL/7OOr4C9K0QfgaPLDBOfCZLkRpilVsGerJnQkQnd6mBrrWHD8ev0zN2cs0Q7kIsKEZuczv6L6k7TvSqr36YwnrVg5Gbo8z91t+7EK3iGv8kqZQIf19iPJieTyX8e47U/Dpe9ST0rA27nVoBMYUfwO7lWVb+eWif9HhXp7GY4swGsbNQ1ru7m7AXtJ6jHmz9Q/06JYklyI8yWg601E3uF8PcLHWlS3Z2k9CzeWXmUR+fv5kyMiU0bNxMbj19HUaBRVTcC3R0NHQ7YOkCb0fDiwdwkxw+rxCs8dv1zDri/zhPWm/jzvws88s1ursWXYT0l7ZCUla26o70pafa0Gvepf2DvPENHY55ystWqDajDT161Cz6vzVh1WDP+Ivy3sPLiM2GS3AizF+LvwrIx7Zg6IBQnO2v2XbhFv1k7mL3pdOUsvy90tFPAe1fEwn3lYeuYm+QcUqfnV/HDJS2aj2wXsNXhFUKjVvDQ7C3sPlvKWXimuDqxVmATtf8DYP07cGW/QcMxS4d+hutH1eUgOr9e+Hl2ztAld6PdrZ/ItgwlIMmNsAjWVhqGtw9mw8TOdA3xISM7h883nKL/l9v5L3eYRFSs5PQsdpxWpxUbfEiqMLaO0GZMviQnkBt8bPsdy7Jf4K+FH7Fo26mS9+Ho+m2MLJkrqVajIPRBdfr878MhtQIXO7Q0GSmwKXeBvk6vFV/ZazoUPGurU/N3zan4+EycJDfColR1d+T74S2Z/XhTvJztOHU9mSHzdjF11TGS07MMHZ5Z2xp5g4zsHIK9nanra+Q7nt+Z5PSejuLsSzVNLB/ZfEf3jf349Ztp3L5dggb15NzkxtT6bbQ0GnjgS/AIhoTLsHKMzNjRl11fqn8/3GuoSWRxrG2h++Q7HhtTsfGZOEluhMXRaDQ80DiQjRM7M6R5NRQFFu26QK/Pt7LpxHVDh2e27pwlpTGVIRpbR2g7Fs2Lh1B6f0SqnRfVrW7wWPSnJHwaxs3t30F2EWspJeX+fTLVyg2oQyaP/ADW9nBqLez+0tARmb6kaNg5Sz3uMRVs7Ev2uNAH1XVwMlPU4SlRKEluhMXycLZjxsONWfJsa6p7OnItIY1nf9jP+J8OcCMp3dDhmZWMrBy2nFR/0zTaIami2DmhaTsOp1ePcqH528Tijn/OdTw3vULa503gwOKCkxxTr9xoBTSGvh+rxxvfg4u7DRuPqdv8IWSmQrWW0OChkj9Oo4Ge76nH/y2Em+cqJj4zIMmNsHgd6nqz/qXOPN+pFlYa+PtwFD0+38pv+y/L4n96svtcHEnpWfi42NO0uruhwyk7OydqDnidjHEH+M7pOW4orjikXIFVL6B82RwO/Jg/yTGHyo1W8xHq/mdKNvzxDKTItgxlEn0UIpaox72mlb7RPLiTuqp5TpaaJIkCSXIjBOBoZ82kfvX5c1wHGgS6knA7k9f/OMxTC/ZyMS7F0OGZPO1eUj1D/bCyMpEhqSIE+njx1Muf8Fn9P/gg80luKK5o4i/CqvEwp4X64ZWdaT6VG1A/hPvPBK+66uaOy0dJ/01ZbHgXUCB0IAS1Lts1uk9Rvx5dBtci9BWZWZHkRog7NKrmxp/j2jOpbz3sbazYeSaO3jO3MW/rWZk2XkY5OQobcqeAG3RVYj1zsLVm+qOtqNH/dbplzuLDzCe5pXGHWxfgz3FqkhN3Vj3ZHCo3APZV1P4bG0c4uwl2fGboiEzL6Y3qon1WturmmGUVEAaNHlGPN76nn9jMjCQ3QtzFxtqK5zvXZt1LnWhX24u0zBw+/uckLT7cwGu/HyI8MobMbEl0SurglXhiktJxsbehXW1vQ4ejVxqNhqfb1mTByC6sdHyIdrc/5zOeJsPeU01yMpLVE82hcqPl1wDun6Eeb/lI3dRRFC87S10vCKD18+oK2eXR7W01STq3RTbVLIAkN0IUoqa3M0ufa82nQ8LwdbEnMS2L3/+7wvCF+2jx4UZe/+MQW0/dkESnGNpZUl3q+WJnY57/5bQK9uSvFzpwX3V/vkzrQ9PEGeyq9RKKkzf4hubtsG0umj4FTZ5U90Na9lxeb5Eo3MElcOOEumFrp1fLfz2PmtDyWfV441QZIryLRrGwjsnExETc3NxISEjA1dXV0OEIE5Gdo7Dvwk3WHIlizZFoYpPzZlO5O9nSp4E//RoF0La2F7bW5vkBXhaKotDts62cj01hzhNN6R8WaOiQKlR6VjaTVx7j1/2XAbi/oS+fDG6Es6ODgSOrABmp8F13iDkONTvC03+ClbWhozJO6ckwuymkxEDv6dB2rH6umxILs5pARhIM+R4aDtbPdY1UaT6/JbkRopSycxT+PX+T1UeusfZoNLHJeRvZeTjZ0qehP/c3CqRNLU9sLDzROX09iZ5fbMPO2or/3u2Bi4OtoUOqcIqi8NO/l5i66hiZ2Qq1fZz57JEmNDHlWWKFuXEK5ndR113p/AZ0fcvQERmnzdNg2yfqYojj/gUbO/1de+snsGVaxVzbyEhyUwRJboQ+Zeco7D0fx+rDUaw9Gk1cSl6i4+lsR+8G/vQPC6B1sGUmOl9tOcOn6yLpGuLDwhGtDB1Opfrv4k3GLDlATFI6VhoY2akWL/e4DwdbM6tuHP4dlj8HaOCpZVCnu6EjMi4JV+HL5pB1Gx5ZrC7Ep093VoX6zYBWI/V7fSMiyU0RJLkRFSUrO4e952+y+oia6Ny8I9Hxcrajd0N/+jcKoJUFJToPzNnB4SsJTB/UiMdbBRk6nEp3KyWDqX8d48+D1wCo7ePMJ0Ma07yGh4Ej07O/XoT/FoGTN4zeDq7mPfxYKivHwsGlUL0NPLO2YjZQ/fdbWPMqOPvAhIPqrDYzJMlNESS5EZUhKzuHPefyhq5upeYt7OZdxY4+DdUendbBXlibwbovBbkWf5t2H29Go4F/3+qBj0sJl5g3Q+uPRfP2yqPcSEpHo4HnOgTzSq8Q86niZKbBgh4QfQSC2sKwv8HaxtBRGV7UYfimE6DAc5ugWouKeZ7sTPiqlbpicZe3oMsbFfM8BibJTREkuRGVLTM7hz3ncoeujkUTny/RsadvQ3XoqlWwp+nsuVQCP+y6wJRVx2hRw4M/xrQzdDgGF5+awft/H2f5gasABHs788mQMFrWLGY3aFMRdxa+6aw2t7Z/KW+bAEulKLD4AXWqfMPBasNvRTq6TF052q6KWr2p4lOxz2cAktwUQZIbYUiZ2TnsOhvHmtxEJ+F2XqLTppYn79wfSsOqbgaMUH+e/G4PO8/E8Xa/+ozsVM41PczI5pPXmbT8CNcT1SrO8HY1ea13CE52ZlDpOLYCfh+uHj/xG9zX26DhGNSpdfDTI2BtB+P3g0eNin2+nBz4titEHYTWo6Hv/yr2+QxAkpsiSHIjjEVmdg47z8Ty9+EoVh26RkZWDhoNDGpajdd6h+DvZrrThxNSM2n24QaycxS2vtaFGl7Ohg7JqCTczmTa6uP8tv8KAEGeTnwyJIw2tbwMHJkerHkN/p0Pjh7w/HZwr27oiCpfdhbMbQexkdBuAvT6oHKe9+wW+HGgurjf+H3gGVw5z1tJSvP5bRldjUIYIVtrK7qE+DLj4cZsfqUzDzYJRFFg2YErdJmxhc/XR5KSnmXoMMtk08nrZOco1PN3kcSmAG6OtnwypDGLRrQkwM2BSzdTeWz+Hib/edRk33OdXh9CYFO4fQv+GAFZGcU/xtwc+EFNbBw9oeMrlfe8tbtCra6Qk6lOD7dgktwIYQSqeTgx67GmrBzXnhY1PEjLzGH25jN0mRHOr/sukZ1jWgXW9cfMby+pitAlxJf1L3fSzSRbvPsivWduY9cZE95x28YeHl4EDm5wZZ+6eq4lSUtUt6UA6PImOLpX7vP3mKp+PfI7RB2q3Oc2IpLcCGFEmlR35/fRbZn7ZDNqeDlxIymdN5Yd4f7Z29lx2jQ+8NIys9l66gYAvRqY0Z5KFcTFwZbpgxqx5NnWVHV35Mqt2zzx3V7eWnGEpLTM4i9gjDxqwsC56vGer+DEXwYNp1LtnAmpseBVB1o8U/nPH9gkb6ViC95U06DJzfTp02nZsiUuLi74+voycOBAIiMji33c1q1bad68OQ4ODtSqVYt58+ZVQrRCVA6NRkPfRgGsf7kT79xfH1cHG05GJ/HUgr2MWPgvp68nGTrEIm0/HcvtzGyqujvSIFD62kqqQ11v1r3ciafaqFWcn/Zeos/M7WzLTRRNTr37oe149XjlOLh53rDxVIaEK7D7K/W45/tgbaAVubu9A1Y26s7t57YaJgYDM2hys3XrVsaNG8eePXvYsGEDWVlZ9OrVi5SUlEIfc/78efr160fHjh2JiIjgrbfeYsKECSxbtqwSIxei4tnbWPNcx1psfa0rI9rXxMZKw5bIG/SZtZ13Vh7Jt7+VMdFulNkz1M+sprZXhir2Nnw4sBE/jWxNdU9Hrsbf5unv/+WNPw6TaIpVnB5ToVorSE9QZ1FlGeffWb3Z9D5kpUGN9hDSz3BxeNbKqxptnKJOS7cwRjVb6saNG/j6+rJ161Y6depU4DlvvPEGq1at4sSJE7r7Ro8ezaFDh9i9e3exzyGzpYSpOncjmY//Ocn642o/i4u9DWO71mFE+5pGsxhcVnYOLadt5FZqJj+PbEPb2mYw+8dAUtKz+HRdJIt2XQAgwM2BjwY1omuIie0wnnAF5nWE2zeh5Ui4f4ahI6oY1yLUfbYARm6Bqs0MGg7JMeqmmpkpag9Ug4cMG48emOxsqYSEBAA8PQtf1Gr37t306tUr3329e/dm//79ZGaa4G82QpRQLZ8qzH+6Bb+MakPDqq4kpWfxv7Un6f7ZVlYduoYx/J6y78ItbqVm4uFkS8uaZrbFQCVztrdh6gMN+HVUG2p4ORGVkMaIhft49fdDJKSa0P91btVg0Hz1eN+3cHS5YeOpCIoC695Rjxs9YvjEBqCKL7R7QT3e9IG6irEFMZrkRlEUJk6cSIcOHWjYsGGh50VHR+Pnl38Ghp+fH1lZWcTG3ttwmZ6eTmJiYr6bEKasTS0vVo3rwOePNMbf1YGr8beZ8HMED329i/8u3jRobOuPq0NS3ev7Wcz+WRWtdS0v1r7YiWc7BKPRwB//XaHnF1vZmFvBMwl1e0KHierxqgnqasbmJPIfuLgDbByg+2RDR5On3Xh1v6+bZ+HAYkNHU6mM5n+f8ePHc/jwYX7++ediz717HF/7G2tB4/vTp0/Hzc1Nd6te3QIXlBJmx8pKw6Bm1djyahde6XkfTnbWHLwcz+C5uxm39ACX4lIrPSZFUWQKeAVxtLPm3f6h/DG6LbW8nYlJSue5xft5+deD+TZoNWpd31Z7UTKS4LdhkHnb0BHpR3YmbHhXPW4z1rgWLbR3gc6vq8db/wcZhfezmhuj6Ll54YUXWLlyJdu2bSM4uOgVFTt16kTTpk2ZNWuW7r4VK1bwyCOPkJqaiq1t/u709PR00tPzmtgSExOpXr269NwIsxKTmMbnG07x2/7L5ChgZ23F8PY1Gde1Dm6OlTNj4+jVBPp/uQNHW2siJvc0mj4gc5OWmc3nG07x3fZz5CjgZGfNk62DeK5jLfxcjXxV68QomNdBnSrdbBg8MLvs18rOgrQESIvPvSWot9t3HDu6g38YBDQGpwraw2vvfPjnNbVCMiECHIzscyUrA+a0gPiL6iyqTq9VzvPm5ICVfusnJrP9gqIovPDCC6xYsYLw8HDq1q1b7GPeeOMN/vrrL44fP667b8yYMRw8eFAaioXFOxGVyEdrTrA9d00cDydbXuxelyfb1MC2goeJPl8fyezNZ+jdwI9vhlbQ7sdCJ+LSLd5ecZTjUepQu521FYObV2N051rGvSr02S3w40OAAg9+BbW63JWUxBf8/d33ZSSX7nndgiAgN9HRJjwu/lCeGX1pCWrT7u2bcP9n0PK5sl+rIh35A5Y9C3Yu8OIhcK6ARv/Ea3B5L1zaq361c4bhf+v3KUwluRk7diw//fQTf/75JyEhIbr73dzccHR0BGDSpElcvXqVxYvV8cLz58/TsGFDnn/+eUaOHMnu3bsZPXo0P//8M4MHDy72OSW5EeZOURTCT91g2uoTnIlRPwCqujvSq4EfPev70TLYs0ISnT4zt3EyOonPH2nMoGbV9H59cS/te/31ljPsu3ALACsN3B8WyNgutakfYKT/x22ZDls/1s+17KqoqyE7uOd+dVMrNvaukHxdXaX3ViFr7Dj73pvweNQsecKzYTLsnAXe98GY3WBtpJuf5uTA/M4QfVgdOuszvXzXy86CmGN5iczlvZBwOf851vYw6bK6YrWemExyU9gaGAsXLmT48OEADB8+nAsXLhAeHq77+datW3n55Zc5duwYgYGBvPHGG4wePbpEzynJjbAUWdk5/LLvMl9sOEXcHX0Zrg42dK3nS4/6fnQO8cHVofzDVhfjUuj8aTjWVhr+e6cH7k525b6mKJ19F27y9ZYzbInMW/SvWz1fxnapTYuaFTQkU1Y52fDz43B6nbrYnDYxcXTPn6jc/b3uPu3NtWQL5aUlQPQRNdGJOqx+jY0EJefec+3d7k14vOuC1V3DrLcuwpyWkJ0Oj/8KIX3K92dS0c5sgiWDyrZL+e14uLI/N5HZA1f+U6eY30ljBX4NoXprCGoD1VuBW/XyVcbuYjLJjSFIciMsze2MbLafvsHGE9fZdCImX6Jja62hTS0vetT3o0eoH1XdHcv0HN9uO8e0NSdoX8eLpc+10VfoogyOXUtgbvhZ1hyJQrslWatgT8Z2qU3n+3yMZ2FFRVEXvLNx0OsHYIllpELMcYg6mJf0xByH7AIatG0cwb9h/oRn5yw4thyCO8HTqwzzGkpDUWDxg3B+K4Q9BoO+Kfy8m+fg8r9qInP5X4g5AdyVKti7QrWWeYlM1RZgX6VCX4IkN0WQ5EZYsuwchYOXb7H++HU2Hr/O2Rv5f/sKDXClR6g6fNWwqmuJPwiHzN3F/ou3eO+BBgxrV7MCIheldT42hW+2nmXZgStkZqv/zTcIdGVslzr0aeiPtZWRfxgbQlaGWtGJOpSX8EQfubdKoaOB57eqyY4puHoAvu0KaGD0DjVhy0xTX6s2kbm8F1IK2PLDs5ZalaneCqq3AZ96em8YLo4kN0WQ5EaIPOduJLPxxHU2Ho9h/8Wb3Ln5uL+rAz1CfekZ6k+bWp7Y2xQ8++lGUjqtPtqIosCuN7sRWMbqj6gYUQm3+W77eX7ae4nbmdkA1PJ2ZnTn2gxsWhU7G6NZEcQ45WSrlYyoQ7lVntxhrbR4aPEs9P/c0BGWzu/D4dgK8KmvDutdi7i3WmVtB4FN8xKZ6q3URQENTJKbIkhyI0TB4pLT2RJ5g43Hr7Pt9A1SM7J1P3O2s6ZziA89Q/3oGuKbr6fm538vMWn5EcKqubFqfAdDhC5K4FZKBot2XWDRrgsk3FZXqw1wc+C5jrV4vFV1nOyMtBnWGCkKpN4ER49Kr16UW9xZ+KoV5GTl3efsk1uVyb0FNtFrI7C+SHJTBEluhCheWmY2u8/Gsf74dTaduE5MUt5aUdZWGlrU8KBnqB89Q/2YuuoYWyJv8FrvEMZ1rWPAqEVJJKdn8fPeS3y7/ZzuffVwsmVE+2CGta2Jm5OBdrIWlefIH+rwU2AzCGoNHsHG3zOEJDdFkuRGiNLJyVE4cjWBDcevs/HEdU5GJxV43oaXO1HXz6WSoxNllZ6VzbL/rvLNtrNczF3R2tnOmqfa1ODZDsH4GvuCgMLiSHJTBEluhCifyzdTdYnO3vM3yc5RqOfvwj8vdjSemTiixLKyc1hzNJqvt5zRJa52NlY83Lwaz3eqTZCXk4EjFEIlyU0RJLkRQn8SUjPZd+Em9QNdyzyNXBgHRVHYEhnD11vOsv9i3oKAzWt40K2eH93r+1LXt4oksMJgJLkpgiQ3QghRtH/P3+SrLWfYeir/lOCq7o50r+9Lt3q+tKnlJfuHiUolyU0RJLkRQoiSuXIrlS2RN9h84jo7z8aRkZW3oq+jrTXt63jTvb4vXUN88XeTHh1RsSS5KYIkN0IIUXq3M7LZdTaWTSdj2HwihujEtHw/bxDoSrd6alWncTV3rGSRQKFnktwUQZIbIYQoH0VROBGVxOaT19l0MoaDl+O585PEu4odne/zpXt9XzrW9cZFD/uXCSHJTREkuRFCCP2KS04nPPIGmyNj2BZ5g6T0vAXibKw0tAr21FV1avlU7P5DwnxJclMESW6EEKLiZGbnsO/CTbacjGHTyRjO3bV/WbC3sy7RaVnTU7Z/ECUmyU0RJLkRQojKcyE2hc0nY9h8Moa95+N0m3gCeDrb8Va/+gxuVlWmmItiSXJTBEluhBDCMJLTs9hx+gabTsSwJfIGscnq9g8d63rz0UONqO4pCwaKwklyUwRJboQQwvAys3P4bvt5Zm48RXpWDo621rzS6z5GtA/GWmZaiQKU5vNbBjuFEEJUOltrK8Z0qc3alzrROtiT25nZfLj6BIPm7uJkdKKhwxMmTpIbIYQQBhPs7czPI9vw0UONcLG34dDlePrP3sHn6yNJz8o2dHjCRElyI4QQwqCsrDQ80TqIDRM70zPUj6wchdmbz9Bv1nb2X7hp6PCECZLkRgghhFHwd3Ng/tDmfP1kM7yr2HP2RgoPf7ObyX8eJfmOtXOEKI4kN0IIIYyGRqOhX6MANk7sxMPNq6EosHj3RXp9vpUtJ2MMHZ4wEZLcCCGEMDruTnZ8+nBjljzbmuqejlxLSGPEon28+EsEcblTyIUojCQ3QgghjFaHut6se6kTIzsGY6WBPw9eo8fnW1kRcQULW8lElIIkN0IIIYyak50Nb98fyoqx7ann78Kt1Exe/vUQwxfu48qtVEOHJ4yQJDdCCCFMQuPq7vz1Qgde7XUfdtZWbD11g15fbGPhzvNk50gVR+SR5EYIIYTJsLW2Yny3uqx5sSMta3qQmpHNe38dZ8i8XZy6nmTo8ISRkORGCCGEyanjW4VfR7Xlg4ENqWJvQ8SleO6fvZ0vNpySxf+EJDdCCCFMk5WVhqFtarD+5U50r+dLZrbCrE2n6T97Bwcu3TJ0eMKAJLkRQghh0gLdHfluWAu+fLwpXs52nI5JZvDcXUz+8yjxqRmGDk8YgCQ3QgghTJ5Go2FA40A2TuzMoGZVdYv/dZkRzo+7L5CVnWPoEEUl0igWtlBAabZMF0IIYZp2nonlvb+Ocep6MgAhfi682z+UDnW9DRyZKKvSfH5LciOEEMIsZWXn8NO/l/h8wyniUzMB6Bnqx9v96lPT29nA0YnSkuSmCJLcCCGEZYlPzWDmxtP8uOci2TkKdtZWjOhQk/Fd6+DiYGvo8EQJSXJTBEluhBDCMp2+nsT7fx9n++lYALyr2PN67xCGNK+GlZXGwNGJ4khyUwRJboQQwnIpisLmkzF88PdxLsSpWzc0qurGlAGhtKjpaeDoRFEkuSmCJDdCCCEysnL4YdcFZm86TVJ6FgADGgfyZt96VHV3NHB0oiCS3BRBkhshhBBascnpfLY+kl/2XUZRwMHWiuc71WZ059o42lkbOjxxB0luiiDJjRBCiLsdvZrA+38f59/zNwEIcHPgzb71eKBxIBqN9OMYA0luiiDJjRBCiIIoisKaI9F8tOYEV+NvA9CihgeTB4QSVs3dsMEJSW6KIsmNEEKIoqRlZvPttnN8HX6W25nZaDQwpFk1XusTgq+Lg6HDs1iS3BRBkhshhBAlEZ2Qxv/WnmRFxFUAnO2sGd+tLs90qIm9jfTjVDZJboogyY0QQojSOHDpFu/9dZxDl+MBCPJ04u3769Mr1E/6cSqRJDdFkORGCCFEaeXkKKyIuMr/1p4kJikdgHr+LgxpXo2BTaviXcXewBGaP0luiiDJjRBCiLJKSc9ibvhZvt1+jvQsdadxGysNXev5MqR5NbrV88XW2srAUZonSW6KIMmNEEKI8kpIzWTV4Wv88d8V3XAVgJezHQ82qcqQ5tUIDZTPGH2S5KYIktwIIYTQp1PXk1j23xWWR1zlRu6QFUBogCsPt6jGg02q4ulsZ8AIzYMkN0WQ5EYIIURFyMrOYfvpWH7/7zIbj8eQka0OW9laa+hWz5chzavTJcRHhq3KSJKbIkhyI4QQoqLdSsngr9xhq8NXEnT3e1exY2CTqgxpUY16/vIZVBql+fw2aPq4bds2BgwYQGCgurz1ypUrizw/PDwcjUZzz+3kyZOVE7AQQghRAh7Odjzdtiarxndg7UsdGdkxGO8qdsQmZ/DdjvP0mbmdAV/u4IddF7iVkmHocM2OjSGfPCUlhcaNGzNixAgGDx5c4sdFRkbmy9p8fHwqIjwhhBCi3Or5u/L2/aG83qceWyNv8Md/V9h08jpHriZw5GoCH64+To/6fjzcohqd6vpgI8NW5WbQ5KZv37707du31I/z9fXF3d1d/wEJIYQQFcTW2ooeoX70CPXjZkoGqw5e5ff/rnDsWiL/HI3mn6PReFexZ1AzdbbVfX4uhg7ZZJlketi0aVMCAgLo3r07W7ZsKfLc9PR0EhMT892EEEIIQ/J0tmN4+2BWT+jImgkdebZDMF7OdsQmpzN/2zl6fbGNJ77dw5bIGCysNVYvDFq5Ka2AgADmz59P8+bNSU9P58cff6R79+6Eh4fTqVOnAh8zffp03nvvvUqOVAghhCiZ0EBXQgNDebNvPbacjOH3/66w+WQMu87GsetsHHV9q/Bcx2AebFIVB1vZ06okjGa2lEajYcWKFQwcOLBUjxswYAAajYZVq1YV+PP09HTS0/PWHUhMTKR69eoyW0oIIYTRuhp/m4U7zvPLvsskp2cB4F3FnmFta/BUmxp4WOC6OSYzW0of2rRpw+nTpwv9ub29Pa6urvluQgghhDGr6u7IO/1D2TWpG2/1q0eAmwOxyel8tuEUbT/exLsrj3IhNsXQYRotk09uIiIiCAgIMHQYQgghhN65OtgyqlNttr3elVmPNaFBoCtpmTn8uOciXT8L5/kf9/PfxZuGDtPoGLTnJjk5mTNnzui+P3/+PAcPHsTT05OgoCAmTZrE1atXWbx4MQAzZ86kZs2aNGjQgIyMDJYsWcKyZctYtmyZoV6CEEIIUeFsra14sElVHmgcyO5zcXy77RxbIm+w7th11h27TtMgd0Z2rEXvBv5YW2kMHa7BGTS52b9/P127dtV9P3HiRACGDRvGokWLiIqK4tKlS7qfZ2Rk8Oqrr3L16lUcHR1p0KABq1evpl+/fpUeuxBCCFHZNBoN7Wp70662N6evJ/Hd9vOsiLhKxKV4xi49QJCnE8+0r8nDLarjbG9Sc4b0ymgaiiuLbL8ghBDCnMQkpfHj7ov8uOci8amZALg52vJk6yCGt6uJr6uDgSPUD9lbqgiS3AghhDBHtzOy+ePAFRZsP8eFuFRA3bTzwSZVGdmxFiH+pr0ooCQ3RZDkRgghhDnLzlHYeOI63247x/6Lt3T3d7rPh5Edg+lQxxuNxvT6ciS5KYIkN0IIISzFgUu3+G77OdYejSYn99O+nr8LI9rXpFeov0mtlyPJTREkuRFCCGFpLsWl8v3O8/y2/zKpGdkAWGmgRU1PeoX60TPUjxpezgaOsmiS3BRBkhshhBCWKiE1k6X/XmTVwWucjE7K97P7/KrQM9SPnqH+hFV1w8rIppRLclMESW6EEEIIuHwzlQ3Hr7PxxHX2nr9Jdk5eOuDrYk+P3IpO21peRrGnlSQ3RZDkRgghhMgvITWTLZExbDh+nfDIGFJyh64AnO2s6XSfDz1D/ehWzxd3J8P06UhyUwRJboQQQojCpWdls/tsnK6qcz0xb/NpaysNLWt60DPUn16hflT3dKq0uCS5KYIkN0IIIUTJKIrCkasJbDh+nQ3Hr9/Tp1PP3yW3T8ePRlXdKnSKuSQ3RZDkRgghhCibS3GpbDhxnQ3Ho9l34Va+Ph0/V3t61M/t06nthb2Nfvt0JLkpgiQ3QgghRPnFp2bo+nS2Rt7I16fj4mDDnknd9bq/VWk+vy13Vy0hhBBClJm7kx0PNa3GQ02rkZaZze5zuX06x69T3dPJoBt3SuVGCCGEEHqTk6NwMzUD7yr2er1uaT6/rfT6zEIIIYSwaFZWGr0nNqWOwaDPLoQQQgihZ5LcCCGEEMKsSHIjhBBCCLMiyY0QQgghzIokN0IIIYQwK5LcCCGEEMKsSHIjhBBCCLMiyY0QQgghzIokN0IIIYQwK5LcCCGEEMKsSHIjhBBCCLMiyY0QQgghzIokN0IIIYQwKzaGDqCyKYoCqFunCyGEEMI0aD+3tZ/jRbG45CYpKQmA6tWrGzgSIYQQQpRWUlISbm5uRZ6jUUqSApmRnJwcrl27houLCxqNRq/XTkxMpHr16ly+fBlXV1e9XtvYWNJrBct6vfJazZclvV55reZHURSSkpIIDAzEyqrorhqLq9xYWVlRrVq1Cn0OV1dXs/4LdidLeq1gWa9XXqv5sqTXK6/VvBRXsdGShmIhhBBCmBVJboQQQghhViS50SN7e3umTJmCvb29oUOpcJb0WsGyXq+8VvNlSa9XXqtls7iGYiGEEEKYN6ncCCGEEMKsSHIjhBBCCLMiyY0QQgghzIokN0IIIYQwK5LclNLXX39NcHAwDg4ONG/enO3btxd5/tatW2nevDkODg7UqlWLefPmVVKkZTd9+nRatmyJi4sLvr6+DBw4kMjIyCIfEx4ejkajued28uTJSoq67KZOnXpP3P7+/kU+xhTfV4CaNWsW+D6NGzeuwPNN6X3dtm0bAwYMIDAwEI1Gw8qVK/P9XFEUpk6dSmBgII6OjnTp0oVjx44Ve91ly5YRGhqKvb09oaGhrFixooJeQekU9XozMzN54403aNSoEc7OzgQGBvL0009z7dq1Iq+5aNGiAt/vtLS0Cn41RSvuvR0+fPg9Mbdp06bY6xrje1vcay3o/dFoNHz66aeFXtNY39eKJMlNKfz666+89NJLvP3220RERNCxY0f69u3LpUuXCjz//Pnz9OvXj44dOxIREcFbb73FhAkTWLZsWSVHXjpbt25l3Lhx7Nmzhw0bNpCVlUWvXr1ISUkp9rGRkZFERUXpbnXr1q2EiMuvQYMG+eI+cuRIoeea6vsKsG/fvnyvc8OGDQA8/PDDRT7OFN7XlJQUGjduzJw5cwr8+SeffMLnn3/OnDlz2LdvH/7+/vTs2VO331xBdu/ezaOPPsrQoUM5dOgQQ4cO5ZFHHmHv3r0V9TJKrKjXm5qayoEDB3j33Xc5cOAAy5cv59SpUzzwwAPFXtfV1TXfex0VFYWDg0NFvIQSK+69BejTp0++mNesWVPkNY31vS3utd793nz//fdoNBoGDx5c5HWN8X2tUIoosVatWimjR4/Od1+9evWUN998s8DzX3/9daVevXr57nv++eeVNm3aVFiMFSEmJkYBlK1btxZ6zpYtWxRAuXXrVuUFpidTpkxRGjduXOLzzeV9VRRFefHFF5XatWsrOTk5Bf7cVN9XQFmxYoXu+5ycHMXf31/5+OOPdfelpaUpbm5uyrx58wq9ziOPPKL06dMn3329e/dWHnvsMb3HXB53v96C/PvvvwqgXLx4sdBzFi5cqLi5uek3OD0r6LUOGzZMefDBB0t1HVN4b0vyvj744INKt27dijzHFN5XfZPKTQllZGTw33//0atXr3z39+rVi127dhX4mN27d99zfu/evdm/fz+ZmZkVFqu+JSQkAODp6VnsuU2bNiUgIIDu3buzZcuWig5Nb06fPk1gYCDBwcE89thjnDt3rtBzzeV9zcjIYMmSJTzzzDPFbiJrqu+r1vnz54mOjs73vtnb29O5c+dC//1C4e91UY8xVgkJCWg0Gtzd3Ys8Lzk5mRo1alCtWjX69+9PRERE5QRYTuHh4fj6+nLfffcxcuRIYmJiijzfHN7b69evs3r1ap599tlizzXV97WsJLkpodjYWLKzs/Hz88t3v5+fH9HR0QU+Jjo6usDzs7KyiI2NrbBY9UlRFCZOnEiHDh1o2LBhoecFBAQwf/58li1bxvLlywkJCaF79+5s27atEqMtm9atW7N48WLWrVvHt99+S3R0NO3atSMuLq7A883hfQVYuXIl8fHxDB8+vNBzTPl9vZP232hp/v1qH1faxxijtLQ03nzzTZ544okiN1asV68eixYtYtWqVfz88884ODjQvn17Tp8+XYnRll7fvn1ZunQpmzdv5rPPPmPfvn1069aN9PT0Qh9jDu/tDz/8gIuLC4MGDSryPFN9X8vD4nYFL6+7f8NVFKXI33oLOr+g+43V+PHjOXz4MDt27CjyvJCQEEJCQnTft23blsuXLzNjxgw6depU0WGWS9++fXXHjRo1om3bttSuXZsffviBiRMnFvgYU39fARYsWEDfvn0JDAws9BxTfl8LUtp/v2V9jDHJzMzkscceIycnh6+//rrIc9u0aZOvEbd9+/Y0a9aML7/8ktmzZ1d0qGX26KOP6o4bNmxIixYtqFGjBqtXry7yg9/U39vvv/+eJ598stjeGVN9X8tDKjcl5O3tjbW19T1ZfUxMzD3Zv5a/v3+B59vY2ODl5VVhserLCy+8wKpVq9iyZQvVqlUr9ePbtGljkr8ZODs706hRo0JjN/X3FeDixYts3LiR5557rtSPNcX3VTv7rTT/frWPK+1jjElmZiaPPPII58+fZ8OGDUVWbQpiZWVFy5YtTe79DggIoEaNGkXGberv7fbt24mMjCzTv2FTfV9LQ5KbErKzs6N58+a62SVaGzZsoF27dgU+pm3btvecv379elq0aIGtrW2FxVpeiqIwfvx4li9fzubNmwkODi7TdSIiIggICNBzdBUvPT2dEydOFBq7qb6vd1q4cCG+vr7cf//9pX6sKb6vwcHB+Pv753vfMjIy2Lp1a6H/fqHw97qoxxgLbWJz+vRpNm7cWKbEW1EUDh48aHLvd1xcHJcvXy4yblN+b0GtvDZv3pzGjRuX+rGm+r6WiqE6mU3RL7/8otja2ioLFixQjh8/rrz00kuKs7OzcuHCBUVRFOXNN99Uhg4dqjv/3LlzipOTk/Lyyy8rx48fVxYsWKDY2toqf/zxh6FeQomMGTNGcXNzU8LDw5WoqCjdLTU1VXfO3a/1iy++UFasWKGcOnVKOXr0qPLmm28qgLJs2TJDvIRSeeWVV5Tw8HDl3Llzyp49e5T+/fsrLi4uZve+amVnZytBQUHKG2+8cc/PTPl9TUpKUiIiIpSIiAgFUD7//HMlIiJCNzvo448/Vtzc3JTly5crR44cUR5//HElICBASUxM1F1j6NCh+WY/7ty5U7G2tlY+/vhj5cSJE8rHH3+s2NjYKHv27Kn013e3ol5vZmam8sADDyjVqlVTDh48mO/fcXp6uu4ad7/eqVOnKmvXrlXOnj2rREREKCNGjFBsbGyUvXv3GuIl6hT1WpOSkpRXXnlF2bVrl3L+/Hlly5YtStu2bZWqVaua5Htb3N9jRVGUhIQExcnJSZk7d26B1zCV97UiSXJTSl999ZVSo0YNxc7OTmnWrFm+6dHDhg1TOnfunO/88PBwpWnTpoqdnZ1Ss2bNQv8yGhOgwNvChQt159z9Wv/3v/8ptWvXVhwcHBQPDw+lQ4cOyurVqys/+DJ49NFHlYCAAMXW1lYJDAxUBg0apBw7dkz3c3N5X7XWrVunAEpkZOQ9PzPl91U7bf3u27BhwxRFUaeDT5kyRfH391fs7e2VTp06KUeOHMl3jc6dO+vO1/r999+VkJAQxdbWVqlXr57RJHZFvd7z588X+u94y5Ytumvc/XpfeuklJSgoSLGzs1N8fHyUXr16Kbt27ar8F3eXol5ramqq0qtXL8XHx0extbVVgoKClGHDhimXLl3Kdw1TeW+L+3usKIryzTffKI6Ojkp8fHyB1zCV97UiaRQltxNSCCGEEMIMSM+NEEIIIcyKJDdCCCGEMCuS3AghhBDCrEhyI4QQQgizIsmNEEIIIcyKJDdCCCGEMCuS3AghhBDCrEhyI4SwSBqNhpUrVxo6DCFEBZDkRghR6YYPH45Go7nn1qdPH0OHJoQwAzaGDkAIYZn69OnDwoUL891nb29voGiEEOZEKjdCCIOwt7fH398/383DwwNQh4zmzp1L3759cXR0JDg4mN9//z3f448cOUK3bt1wdHTEy8uLUaNGkZycnO+c77//ngYNGmBvb09AQADjx4/P9/PY2FgeeughnJycqFu3LqtWrdL97NatWzz55JP4+Pjg6OhI3bp170nGhBDGSZIbIYRRevfddxk8eDCHDh3iqaee4vHHH+fEiRMApKam0qdPHzw8PNi3bx+///47GzduzJe8zJ07l3HjxjFq1CiOHDnCqlWrqFOnTr7neO+993jkkUc4fPgw/fr148knn+TmzZu65z9+/Dj//PMPJ06cYO7cuXh7e1feH4AQouwMvXOnEMLyDBs2TLG2tlacnZ3z3d5//31FUdSd6UePHp3vMa1bt1bGjBmjKIqizJ8/X/Hw8FCSk5N1P1+9erViZWWlREdHK4qiKIGBgcrbb79daAyA8s477+i+T05OVjQajfLPP/8oiqIoAwYMUEaMGKGfFyyEqFTScyOEMIiuXbsyd+7cfPd5enrqjtu2bZvvZ23btuXgwYMAnDhxgsaNG+Ps7Kz7efv27cnJySEyMhKNRsO1a9fo3r17kTGEhYXpjp2dnXFxcSEmJgaAMWPGMHjwYA4cOECvXr0YOHAg7dq1K9NrFUJULkluhBAG4ezsfM8wUXE0Gg0AiqLojgs6x9HRsUTXs7W1veexOTk5APTt25eLFy+yevVqNm7cSPfu3Rk3bhwzZswoVcxCiMonPTdCCKO0Z8+ee76vV68eAKGhoRw8eJCUlBTdz3fu3ImVlRX33XcfLi4u1KxZk02bNpUrBh8fH4YPH86SJUuYOXMm8+fPL9f1hBCVQyo3QgiDSE9PJzo6Ot99NjY2uqbd33//nRYtWtChQweWLl3Kv//+y4IFCwB48sknmTJlCsOGDWPq1KncuHGDF154gaFDh+Ln5wfA1KlTGT16NL6+vvTt25ekpCR27tzJCy+8UKL4Jk+eTPPmzWnQoAHp6en8/fff1K9fX49/AkKIiiLJjRDCINauXUtAQEC++0JCQjh58iSgzmT65ZdfGDt2LP7+/ixdupTQ0FAAnJycWLduHS+++CItW7bEycmJwYMH8/nnn+uuNWzYMNLS0vjiiy949dVX8fb2ZsiQISWOz87OjkmTJnHhwgUcHR3p2LEjv/zyix5euRCiomkURVEMHYQQQtxJo9GwYsUKBg4caOhQhBAmSHpuhBBCCGFWJLkRQgghhFmRnhshhNGR0XIhRHlI5UYIIYQQZkWSGyGEEEKYFUluhBBCCGFWJLkRQgghhFmR5EYIIYQQZkWSGyGEEEKYFUluhBBCCGFWJLkRQgghhFmR5EYIIYQQZuX/6SmKMVWQ62oAAAAASUVORK5CYII=\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": "f759a658",
   "metadata": {
    "papermill": {
     "duration": 0.473889,
     "end_time": "2023-04-22T23:44:43.493342",
     "exception": false,
     "start_time": "2023-04-22T23:44:43.019453",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# 2.2 Model 2 (Batch Size = 64, Dropout = 0, Optimizer = Adam)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "807ca3d5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:44:44.294277Z",
     "iopub.status.busy": "2023-04-22T23:44:44.293088Z",
     "iopub.status.idle": "2023-04-22T23:44:49.031188Z",
     "shell.execute_reply": "2023-04-22T23:44:49.030146Z"
    },
    "papermill": {
     "duration": 5.163959,
     "end_time": "2023-04-22T23:44:49.034268",
     "exception": false,
     "start_time": "2023-04-22T23:44:43.870309",
     "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": "fb161d66",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:44:49.798488Z",
     "iopub.status.busy": "2023-04-22T23:44:49.798045Z",
     "iopub.status.idle": "2023-04-22T23:44:49.821196Z",
     "shell.execute_reply": "2023-04-22T23:44:49.820260Z"
    },
    "papermill": {
     "duration": 0.409465,
     "end_time": "2023-04-22T23:44:49.823595",
     "exception": false,
     "start_time": "2023-04-22T23:44:49.414130",
     "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": "92628c76",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T23:44:50.651968Z",
     "iopub.status.busy": "2023-04-22T23:44:50.651605Z",
     "iopub.status.idle": "2023-04-23T00:16:05.587414Z",
     "shell.execute_reply": "2023-04-23T00:16:05.586164Z"
    },
    "papermill": {
     "duration": 1875.363043,
     "end_time": "2023-04-23T00:16:05.590476",
     "exception": false,
     "start_time": "2023-04-22T23:44:50.227433",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "665/665 [==============================] - 194s 136ms/step - loss: 2.8354 - accuracy: 0.1031 - val_loss: 2.8548 - val_accuracy: 0.1160\n",
      "Epoch 2/20\n",
      "665/665 [==============================] - 86s 129ms/step - loss: 2.6177 - accuracy: 0.1554 - val_loss: 2.6896 - val_accuracy: 0.1625\n",
      "Epoch 3/20\n",
      "665/665 [==============================] - 87s 132ms/step - loss: 2.4951 - accuracy: 0.2076 - val_loss: 2.4951 - val_accuracy: 0.2151\n",
      "Epoch 4/20\n",
      "665/665 [==============================] - 87s 131ms/step - loss: 2.4465 - accuracy: 0.2292 - val_loss: 2.4903 - val_accuracy: 0.2337\n",
      "Epoch 5/20\n",
      "665/665 [==============================] - 87s 131ms/step - loss: 2.3783 - accuracy: 0.2524 - val_loss: 2.8791 - val_accuracy: 0.1880\n",
      "Epoch 6/20\n",
      "665/665 [==============================] - 87s 130ms/step - loss: 2.2627 - accuracy: 0.2815 - val_loss: 2.4357 - val_accuracy: 0.2960\n",
      "Epoch 7/20\n",
      "665/665 [==============================] - 86s 130ms/step - loss: 2.0866 - accuracy: 0.3347 - val_loss: 2.2088 - val_accuracy: 0.3049\n",
      "Epoch 8/20\n",
      "665/665 [==============================] - 88s 132ms/step - loss: 2.1214 - accuracy: 0.3349 - val_loss: 2.1942 - val_accuracy: 0.3365\n",
      "Epoch 9/20\n",
      "665/665 [==============================] - 86s 130ms/step - loss: 2.0787 - accuracy: 0.3487 - val_loss: 2.3254 - val_accuracy: 0.3057\n",
      "Epoch 10/20\n",
      "665/665 [==============================] - 87s 131ms/step - loss: 2.1142 - accuracy: 0.3411 - val_loss: 2.2320 - val_accuracy: 0.3165\n",
      "Epoch 11/20\n",
      "665/665 [==============================] - 86s 130ms/step - loss: 2.1218 - accuracy: 0.3371 - val_loss: 2.2912 - val_accuracy: 0.3323\n",
      "Epoch 12/20\n",
      "665/665 [==============================] - 86s 130ms/step - loss: 1.9263 - accuracy: 0.3931 - val_loss: 2.1625 - val_accuracy: 0.3540\n",
      "Epoch 13/20\n",
      "665/665 [==============================] - 87s 131ms/step - loss: 1.7876 - accuracy: 0.4350 - val_loss: 2.1702 - val_accuracy: 0.3564\n",
      "Epoch 14/20\n",
      "665/665 [==============================] - 87s 131ms/step - loss: 1.8134 - accuracy: 0.4305 - val_loss: 1.9228 - val_accuracy: 0.4075\n",
      "Epoch 15/20\n",
      "665/665 [==============================] - 88s 132ms/step - loss: 1.8024 - accuracy: 0.4352 - val_loss: 2.2628 - val_accuracy: 0.3251\n",
      "Epoch 16/20\n",
      "665/665 [==============================] - 87s 131ms/step - loss: 1.7204 - accuracy: 0.4588 - val_loss: 2.1872 - val_accuracy: 0.3819\n",
      "Epoch 17/20\n",
      "665/665 [==============================] - 87s 130ms/step - loss: 1.6100 - accuracy: 0.4942 - val_loss: 1.7661 - val_accuracy: 0.4631\n",
      "Epoch 18/20\n",
      "665/665 [==============================] - 88s 132ms/step - loss: 1.6195 - accuracy: 0.4930 - val_loss: 1.8546 - val_accuracy: 0.4469\n",
      "Epoch 19/20\n",
      "665/665 [==============================] - 86s 129ms/step - loss: 1.4774 - accuracy: 0.5329 - val_loss: 1.7417 - val_accuracy: 0.4724\n",
      "Epoch 20/20\n",
      "665/665 [==============================] - 87s 131ms/step - loss: 1.4643 - accuracy: 0.5408 - val_loss: 2.3653 - val_accuracy: 0.4201\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": "f9f7c910",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T00:16:07.942952Z",
     "iopub.status.busy": "2023-04-23T00:16:07.942586Z",
     "iopub.status.idle": "2023-04-23T00:16:17.044868Z",
     "shell.execute_reply": "2023-04-23T00:16:17.043774Z"
    },
    "papermill": {
     "duration": 10.275138,
     "end_time": "2023-04-23T00:16:17.046953",
     "exception": false,
     "start_time": "2023-04-23T00:16:06.771815",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Loss: 1.464341402053833\n",
      "Train Acc: 0.5408235192298889\n",
      "\n",
      "Test Loss: 2.3433876037597656\n",
      "Test Acc: 0.39570000767707825\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": "1900bdfc",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T00:16:19.336681Z",
     "iopub.status.busy": "2023-04-23T00:16:19.336308Z",
     "iopub.status.idle": "2023-04-23T00:16:19.823228Z",
     "shell.execute_reply": "2023-04-23T00:16:19.822054Z"
    },
    "papermill": {
     "duration": 1.674368,
     "end_time": "2023-04-23T00:16:19.825752",
     "exception": false,
     "start_time": "2023-04-23T00:16:18.151384",
     "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_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": "d0948f18",
   "metadata": {
    "papermill": {
     "duration": 1.45973,
     "end_time": "2023-04-23T00:16:22.506950",
     "exception": false,
     "start_time": "2023-04-23T00:16:21.047220",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# 2.3 Model 3 (Batch Size = 64, Dropout = 0.4, Optimizer = Adam)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "c1f7cab2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T00:16:25.121569Z",
     "iopub.status.busy": "2023-04-23T00:16:25.120511Z",
     "iopub.status.idle": "2023-04-23T00:16:30.013436Z",
     "shell.execute_reply": "2023-04-23T00:16:30.012346Z"
    },
    "papermill": {
     "duration": 6.089384,
     "end_time": "2023-04-23T00:16:30.016164",
     "exception": false,
     "start_time": "2023-04-23T00:16:23.926780",
     "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": "da2b6c03",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T00:16:32.495718Z",
     "iopub.status.busy": "2023-04-23T00:16:32.495336Z",
     "iopub.status.idle": "2023-04-23T00:16:32.519173Z",
     "shell.execute_reply": "2023-04-23T00:16:32.518124Z"
    },
    "papermill": {
     "duration": 1.282259,
     "end_time": "2023-04-23T00:16:32.521486",
     "exception": false,
     "start_time": "2023-04-23T00:16:31.239227",
     "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": "872143ca",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T00:16:34.851524Z",
     "iopub.status.busy": "2023-04-23T00:16:34.851162Z",
     "iopub.status.idle": "2023-04-23T00:48:50.144562Z",
     "shell.execute_reply": "2023-04-23T00:48:50.143390Z"
    },
    "papermill": {
     "duration": 1936.469779,
     "end_time": "2023-04-23T00:48:50.147634",
     "exception": false,
     "start_time": "2023-04-23T00:16:33.677855",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "665/665 [==============================] - 195s 139ms/step - loss: 2.9011 - accuracy: 0.0896 - val_loss: 2.7297 - val_accuracy: 0.1211\n",
      "Epoch 2/20\n",
      "665/665 [==============================] - 89s 134ms/step - loss: 2.6600 - accuracy: 0.1415 - val_loss: 2.6962 - val_accuracy: 0.1529\n",
      "Epoch 3/20\n",
      "665/665 [==============================] - 90s 135ms/step - loss: 2.5517 - accuracy: 0.1789 - val_loss: 2.6707 - val_accuracy: 0.1415\n",
      "Epoch 4/20\n",
      "665/665 [==============================] - 89s 133ms/step - loss: 2.5360 - accuracy: 0.1957 - val_loss: 2.6663 - val_accuracy: 0.1843\n",
      "Epoch 5/20\n",
      "665/665 [==============================] - 88s 132ms/step - loss: 2.3342 - accuracy: 0.2648 - val_loss: 2.4436 - val_accuracy: 0.2504\n",
      "Epoch 6/20\n",
      "665/665 [==============================] - 88s 133ms/step - loss: 2.2124 - accuracy: 0.3067 - val_loss: 2.7383 - val_accuracy: 0.2063\n",
      "Epoch 7/20\n",
      "665/665 [==============================] - 89s 134ms/step - loss: 2.1559 - accuracy: 0.3250 - val_loss: 2.1990 - val_accuracy: 0.3113\n",
      "Epoch 8/20\n",
      "665/665 [==============================] - 89s 134ms/step - loss: 2.0257 - accuracy: 0.3705 - val_loss: 2.2939 - val_accuracy: 0.3301\n",
      "Epoch 9/20\n",
      "665/665 [==============================] - 90s 135ms/step - loss: 1.9699 - accuracy: 0.3881 - val_loss: 3.2162 - val_accuracy: 0.2363\n",
      "Epoch 10/20\n",
      "665/665 [==============================] - 89s 134ms/step - loss: 1.9323 - accuracy: 0.4047 - val_loss: 3.3274 - val_accuracy: 0.1937\n",
      "Epoch 11/20\n",
      "665/665 [==============================] - 89s 134ms/step - loss: 1.8983 - accuracy: 0.4124 - val_loss: 2.9512 - val_accuracy: 0.1788\n",
      "Epoch 12/20\n",
      "665/665 [==============================] - 90s 135ms/step - loss: 1.9845 - accuracy: 0.3878 - val_loss: 3.6533 - val_accuracy: 0.1717\n",
      "Epoch 13/20\n",
      "665/665 [==============================] - 90s 135ms/step - loss: 1.9828 - accuracy: 0.3864 - val_loss: 2.8513 - val_accuracy: 0.2136\n",
      "Epoch 14/20\n",
      "665/665 [==============================] - 91s 137ms/step - loss: 1.8090 - accuracy: 0.4387 - val_loss: 3.8378 - val_accuracy: 0.1992\n",
      "Epoch 15/20\n",
      "665/665 [==============================] - 90s 136ms/step - loss: 1.9368 - accuracy: 0.4011 - val_loss: 2.2908 - val_accuracy: 0.2839\n",
      "Epoch 16/20\n",
      "665/665 [==============================] - 90s 135ms/step - loss: 1.9346 - accuracy: 0.4021 - val_loss: 3.0035 - val_accuracy: 0.2209\n",
      "Epoch 17/20\n",
      "665/665 [==============================] - 88s 133ms/step - loss: 1.9783 - accuracy: 0.3910 - val_loss: 3.4283 - val_accuracy: 0.0800\n",
      "Epoch 18/20\n",
      "665/665 [==============================] - 89s 135ms/step - loss: 1.9114 - accuracy: 0.4075 - val_loss: 4.0637 - val_accuracy: 0.2268\n",
      "Epoch 19/20\n",
      "665/665 [==============================] - 89s 134ms/step - loss: 1.7786 - accuracy: 0.4462 - val_loss: 2.6417 - val_accuracy: 0.2719\n",
      "Epoch 20/20\n",
      "665/665 [==============================] - 89s 134ms/step - loss: 1.6033 - accuracy: 0.4957 - val_loss: 2.2073 - val_accuracy: 0.3645\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": "dde90337",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T00:48:54.152328Z",
     "iopub.status.busy": "2023-04-23T00:48:54.151911Z",
     "iopub.status.idle": "2023-04-23T00:49:03.198985Z",
     "shell.execute_reply": "2023-04-23T00:49:03.197791Z"
    },
    "papermill": {
     "duration": 11.096373,
     "end_time": "2023-04-23T00:49:03.201245",
     "exception": false,
     "start_time": "2023-04-23T00:48:52.104872",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Loss: 1.6033406257629395\n",
      "Train Acc: 0.4956941306591034\n",
      "\n",
      "Test Loss: 2.2007036209106445\n",
      "Test Acc: 0.3693000078201294\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": "c7f175a5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T00:49:07.174150Z",
     "iopub.status.busy": "2023-04-23T00:49:07.173765Z",
     "iopub.status.idle": "2023-04-23T00:49:07.643305Z",
     "shell.execute_reply": "2023-04-23T00:49:07.642101Z"
    },
    "papermill": {
     "duration": 2.480201,
     "end_time": "2023-04-23T00:49:07.645621",
     "exception": false,
     "start_time": "2023-04-23T00:49:05.165420",
     "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": "021e3f77",
   "metadata": {
    "papermill": {
     "duration": 1.944157,
     "end_time": "2023-04-23T00:49:11.519540",
     "exception": false,
     "start_time": "2023-04-23T00:49:09.575383",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# 2.4 Model 4 (Batch Size = 128, Dropout = 0, Optimizer = SGD)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "da369889",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T00:49:16.012781Z",
     "iopub.status.busy": "2023-04-23T00:49:16.012378Z",
     "iopub.status.idle": "2023-04-23T00:49:20.737656Z",
     "shell.execute_reply": "2023-04-23T00:49:20.736533Z"
    },
    "papermill": {
     "duration": 7.284071,
     "end_time": "2023-04-23T00:49:20.740484",
     "exception": false,
     "start_time": "2023-04-23T00:49:13.456413",
     "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": "094bb018",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T00:49:24.597453Z",
     "iopub.status.busy": "2023-04-23T00:49:24.596317Z",
     "iopub.status.idle": "2023-04-23T00:49:24.623245Z",
     "shell.execute_reply": "2023-04-23T00:49:24.622143Z"
    },
    "papermill": {
     "duration": 1.958087,
     "end_time": "2023-04-23T00:49:24.625731",
     "exception": false,
     "start_time": "2023-04-23T00:49:22.667644",
     "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": "b92d3f95",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T00:49:28.509690Z",
     "iopub.status.busy": "2023-04-23T00:49:28.508552Z",
     "iopub.status.idle": "2023-04-23T01:07:29.253642Z",
     "shell.execute_reply": "2023-04-23T01:07:29.252543Z"
    },
    "papermill": {
     "duration": 1082.600424,
     "end_time": "2023-04-23T01:07:29.256264",
     "exception": false,
     "start_time": "2023-04-23T00:49:26.655840",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "333/333 [==============================] - 99s 159ms/step - loss: 2.8690 - accuracy: 0.1111 - val_loss: 78.0400 - val_accuracy: 0.0556\n",
      "Epoch 2/20\n",
      "333/333 [==============================] - 49s 147ms/step - loss: 2.7001 - accuracy: 0.1541 - val_loss: 141896.8438 - val_accuracy: 0.0483\n",
      "Epoch 3/20\n",
      "333/333 [==============================] - 50s 152ms/step - loss: 2.6982 - accuracy: 0.1604 - val_loss: 301181.6250 - val_accuracy: 0.0516\n",
      "Epoch 4/20\n",
      "333/333 [==============================] - 50s 151ms/step - loss: 2.6919 - accuracy: 0.1618 - val_loss: 6.2931 - val_accuracy: 0.0557\n",
      "Epoch 5/20\n",
      "333/333 [==============================] - 51s 153ms/step - loss: 2.6402 - accuracy: 0.1745 - val_loss: 9.3918 - val_accuracy: 0.0488\n",
      "Epoch 6/20\n",
      "333/333 [==============================] - 50s 151ms/step - loss: 2.6156 - accuracy: 0.1837 - val_loss: 3.9854 - val_accuracy: 0.0568\n",
      "Epoch 7/20\n",
      "333/333 [==============================] - 51s 152ms/step - loss: 2.5302 - accuracy: 0.2072 - val_loss: 4.4509 - val_accuracy: 0.1068\n",
      "Epoch 8/20\n",
      "333/333 [==============================] - 50s 151ms/step - loss: 2.4845 - accuracy: 0.2225 - val_loss: 12.9883 - val_accuracy: 0.0489\n",
      "Epoch 9/20\n",
      "333/333 [==============================] - 52s 156ms/step - loss: 2.4396 - accuracy: 0.2390 - val_loss: 3.1412 - val_accuracy: 0.0711\n",
      "Epoch 10/20\n",
      "333/333 [==============================] - 51s 152ms/step - loss: 2.3622 - accuracy: 0.2614 - val_loss: 3.7162 - val_accuracy: 0.0855\n",
      "Epoch 11/20\n",
      "333/333 [==============================] - 51s 153ms/step - loss: 2.3249 - accuracy: 0.2750 - val_loss: 3.4170 - val_accuracy: 0.1492\n",
      "Epoch 12/20\n",
      "333/333 [==============================] - 51s 152ms/step - loss: 2.2625 - accuracy: 0.2934 - val_loss: 3.3900 - val_accuracy: 0.1457\n",
      "Epoch 13/20\n",
      "333/333 [==============================] - 51s 153ms/step - loss: 2.2138 - accuracy: 0.3084 - val_loss: 3.3285 - val_accuracy: 0.1244\n",
      "Epoch 14/20\n",
      "333/333 [==============================] - 51s 152ms/step - loss: 2.1823 - accuracy: 0.3174 - val_loss: 4.0993 - val_accuracy: 0.1217\n",
      "Epoch 15/20\n",
      "333/333 [==============================] - 51s 152ms/step - loss: 2.1388 - accuracy: 0.3329 - val_loss: 3.0619 - val_accuracy: 0.1687\n",
      "Epoch 16/20\n",
      "333/333 [==============================] - 50s 151ms/step - loss: 2.0786 - accuracy: 0.3496 - val_loss: 2.8826 - val_accuracy: 0.1865\n",
      "Epoch 17/20\n",
      "333/333 [==============================] - 51s 155ms/step - loss: 2.0306 - accuracy: 0.3636 - val_loss: 2.8273 - val_accuracy: 0.2033\n",
      "Epoch 18/20\n",
      "333/333 [==============================] - 51s 152ms/step - loss: 1.9723 - accuracy: 0.3834 - val_loss: 4.1685 - val_accuracy: 0.1411\n",
      "Epoch 19/20\n",
      "333/333 [==============================] - 51s 154ms/step - loss: 1.9872 - accuracy: 0.3768 - val_loss: 3.7691 - val_accuracy: 0.1383\n",
      "Epoch 20/20\n",
      "333/333 [==============================] - 50s 151ms/step - loss: 1.8960 - accuracy: 0.4038 - val_loss: 4.3232 - val_accuracy: 0.0995\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": "0179bf33",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T01:07:34.430803Z",
     "iopub.status.busy": "2023-04-23T01:07:34.429756Z",
     "iopub.status.idle": "2023-04-23T01:07:43.583580Z",
     "shell.execute_reply": "2023-04-23T01:07:43.582511Z"
    },
    "papermill": {
     "duration": 11.507461,
     "end_time": "2023-04-23T01:07:43.586246",
     "exception": false,
     "start_time": "2023-04-23T01:07:32.078785",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Loss: 1.8960342407226562\n",
      "Train Acc: 0.4038352966308594\n",
      "\n",
      "Test Loss: 4.361588478088379\n",
      "Test Acc: 0.09880000352859497\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": "e110f4b8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T01:07:48.312318Z",
     "iopub.status.busy": "2023-04-23T01:07:48.311944Z",
     "iopub.status.idle": "2023-04-23T01:07:48.799814Z",
     "shell.execute_reply": "2023-04-23T01:07:48.798811Z"
    },
    "papermill": {
     "duration": 2.895867,
     "end_time": "2023-04-23T01:07:48.801886",
     "exception": false,
     "start_time": "2023-04-23T01:07:45.906019",
     "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_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": "9ee31cd1",
   "metadata": {
    "papermill": {
     "duration": 2.321929,
     "end_time": "2023-04-23T01:07:53.466184",
     "exception": false,
     "start_time": "2023-04-23T01:07:51.144255",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# 2.5 Model 5 (Batch Size = 64, Dropout = 0, Optimizer = SGD)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "a41e2a82",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T01:07:58.224901Z",
     "iopub.status.busy": "2023-04-23T01:07:58.224534Z",
     "iopub.status.idle": "2023-04-23T01:08:03.398830Z",
     "shell.execute_reply": "2023-04-23T01:08:03.397668Z"
    },
    "papermill": {
     "duration": 7.616458,
     "end_time": "2023-04-23T01:08:03.401361",
     "exception": false,
     "start_time": "2023-04-23T01:07:55.784903",
     "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": "4152b621",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T01:08:08.047586Z",
     "iopub.status.busy": "2023-04-23T01:08:08.047210Z",
     "iopub.status.idle": "2023-04-23T01:08:08.070765Z",
     "shell.execute_reply": "2023-04-23T01:08:08.069743Z"
    },
    "papermill": {
     "duration": 2.33578,
     "end_time": "2023-04-23T01:08:08.072976",
     "exception": false,
     "start_time": "2023-04-23T01:08:05.737196",
     "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": "627eb603",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T01:08:13.137300Z",
     "iopub.status.busy": "2023-04-23T01:08:13.136896Z",
     "iopub.status.idle": "2023-04-23T01:37:13.000511Z",
     "shell.execute_reply": "2023-04-23T01:37:12.999384Z"
    },
    "papermill": {
     "duration": 1742.467664,
     "end_time": "2023-04-23T01:37:13.003488",
     "exception": false,
     "start_time": "2023-04-23T01:08:10.535824",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "665/665 [==============================] - 132s 132ms/step - loss: 2.8096 - accuracy: 0.1259 - val_loss: 3.4352 - val_accuracy: 0.0855\n",
      "Epoch 2/20\n",
      "665/665 [==============================] - 83s 125ms/step - loss: 2.5928 - accuracy: 0.1916 - val_loss: 3.6940 - val_accuracy: 0.0669\n",
      "Epoch 3/20\n",
      "665/665 [==============================] - 83s 124ms/step - loss: 2.4888 - accuracy: 0.2259 - val_loss: 153322396844032.0000 - val_accuracy: 0.0507\n",
      "Epoch 4/20\n",
      "665/665 [==============================] - 82s 124ms/step - loss: 2.6976 - accuracy: 0.1592 - val_loss: 5.3104 - val_accuracy: 0.0603\n",
      "Epoch 5/20\n",
      "665/665 [==============================] - 85s 128ms/step - loss: 2.5863 - accuracy: 0.1911 - val_loss: 3.0692 - val_accuracy: 0.0647\n",
      "Epoch 6/20\n",
      "665/665 [==============================] - 82s 123ms/step - loss: 2.4807 - accuracy: 0.2247 - val_loss: 3.6877 - val_accuracy: 0.0721\n",
      "Epoch 7/20\n",
      "665/665 [==============================] - 84s 127ms/step - loss: 2.4286 - accuracy: 0.2408 - val_loss: 2.6374 - val_accuracy: 0.1695\n",
      "Epoch 8/20\n",
      "665/665 [==============================] - 84s 126ms/step - loss: 2.3539 - accuracy: 0.2648 - val_loss: 2.7115 - val_accuracy: 0.1775\n",
      "Epoch 9/20\n",
      "665/665 [==============================] - 83s 125ms/step - loss: 2.3096 - accuracy: 0.2784 - val_loss: 2.5358 - val_accuracy: 0.2157\n",
      "Epoch 10/20\n",
      "665/665 [==============================] - 84s 126ms/step - loss: 2.2654 - accuracy: 0.2935 - val_loss: 2.9567 - val_accuracy: 0.1584\n",
      "Epoch 11/20\n",
      "665/665 [==============================] - 84s 126ms/step - loss: 2.2298 - accuracy: 0.3035 - val_loss: 2.3653 - val_accuracy: 0.2604\n",
      "Epoch 12/20\n",
      "665/665 [==============================] - 85s 128ms/step - loss: 2.1869 - accuracy: 0.3167 - val_loss: 2.8653 - val_accuracy: 0.1897\n",
      "Epoch 13/20\n",
      "665/665 [==============================] - 82s 123ms/step - loss: 2.1619 - accuracy: 0.3240 - val_loss: 2.3665 - val_accuracy: 0.2607\n",
      "Epoch 14/20\n",
      "665/665 [==============================] - 84s 126ms/step - loss: 2.1159 - accuracy: 0.3363 - val_loss: 2.4058 - val_accuracy: 0.2567\n",
      "Epoch 15/20\n",
      "665/665 [==============================] - 85s 128ms/step - loss: 2.0794 - accuracy: 0.3497 - val_loss: 2.3570 - val_accuracy: 0.2828\n",
      "Epoch 16/20\n",
      "665/665 [==============================] - 84s 126ms/step - loss: 2.0456 - accuracy: 0.3583 - val_loss: 2.6049 - val_accuracy: 0.2249\n",
      "Epoch 17/20\n",
      "665/665 [==============================] - 84s 127ms/step - loss: 2.0302 - accuracy: 0.3637 - val_loss: 2.2514 - val_accuracy: 0.3125\n",
      "Epoch 18/20\n",
      "665/665 [==============================] - 84s 126ms/step - loss: 1.9783 - accuracy: 0.3792 - val_loss: 2.5381 - val_accuracy: 0.2505\n",
      "Epoch 19/20\n",
      "665/665 [==============================] - 82s 124ms/step - loss: 1.9481 - accuracy: 0.3902 - val_loss: 2.1602 - val_accuracy: 0.3360\n",
      "Epoch 20/20\n",
      "665/665 [==============================] - 85s 128ms/step - loss: 1.9012 - accuracy: 0.4022 - val_loss: 2.5451 - val_accuracy: 0.2745\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": "9b9cd726",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T01:37:19.779279Z",
     "iopub.status.busy": "2023-04-23T01:37:19.778255Z",
     "iopub.status.idle": "2023-04-23T01:37:30.445560Z",
     "shell.execute_reply": "2023-04-23T01:37:30.444374Z"
    },
    "papermill": {
     "duration": 13.869898,
     "end_time": "2023-04-23T01:37:30.448184",
     "exception": false,
     "start_time": "2023-04-23T01:37:16.578286",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Loss: 1.9011991024017334\n",
      "Train Acc: 0.4022352993488312\n",
      "\n",
      "Test Loss: 2.533517599105835\n",
      "Test Acc: 0.2635999917984009\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": "1782d15a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T01:37:36.776480Z",
     "iopub.status.busy": "2023-04-23T01:37:36.776093Z",
     "iopub.status.idle": "2023-04-23T01:37:37.254592Z",
     "shell.execute_reply": "2023-04-23T01:37:37.253590Z"
    },
    "papermill": {
     "duration": 3.584709,
     "end_time": "2023-04-23T01:37:37.256932",
     "exception": false,
     "start_time": "2023-04-23T01:37:33.672223",
     "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": "af07be6e",
   "metadata": {
    "papermill": {
     "duration": 3.157765,
     "end_time": "2023-04-23T01:37:43.598433",
     "exception": false,
     "start_time": "2023-04-23T01:37:40.440668",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# 2.6 Model 6 (Batch Size = 64, Dropout = 0.4, Optimizer = SGD)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "9a2eedf6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T01:37:50.297054Z",
     "iopub.status.busy": "2023-04-23T01:37:50.296415Z",
     "iopub.status.idle": "2023-04-23T01:37:55.184021Z",
     "shell.execute_reply": "2023-04-23T01:37:55.182992Z"
    },
    "papermill": {
     "duration": 8.385457,
     "end_time": "2023-04-23T01:37:55.186416",
     "exception": false,
     "start_time": "2023-04-23T01:37:46.800959",
     "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": "cc588f91",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T01:38:01.574711Z",
     "iopub.status.busy": "2023-04-23T01:38:01.574294Z",
     "iopub.status.idle": "2023-04-23T01:38:01.601520Z",
     "shell.execute_reply": "2023-04-23T01:38:01.600576Z"
    },
    "papermill": {
     "duration": 3.23233,
     "end_time": "2023-04-23T01:38:01.603972",
     "exception": false,
     "start_time": "2023-04-23T01:37:58.371642",
     "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": "d4b2a027",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T01:38:07.980958Z",
     "iopub.status.busy": "2023-04-23T01:38:07.980599Z",
     "iopub.status.idle": "2023-04-23T02:07:07.404494Z",
     "shell.execute_reply": "2023-04-23T02:07:07.403332Z"
    },
    "papermill": {
     "duration": 1742.583663,
     "end_time": "2023-04-23T02:07:07.407025",
     "exception": false,
     "start_time": "2023-04-23T01:38:04.823362",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "665/665 [==============================] - 133s 133ms/step - loss: 2.8929 - accuracy: 0.1009 - val_loss: 4.1671 - val_accuracy: 0.0556\n",
      "Epoch 2/20\n",
      "665/665 [==============================] - 84s 126ms/step - loss: 2.6899 - accuracy: 0.1576 - val_loss: 2.8304 - val_accuracy: 0.1132\n",
      "Epoch 3/20\n",
      "665/665 [==============================] - 86s 129ms/step - loss: 2.5768 - accuracy: 0.1941 - val_loss: 2.5963 - val_accuracy: 0.1847\n",
      "Epoch 4/20\n",
      "665/665 [==============================] - 82s 123ms/step - loss: 2.4763 - accuracy: 0.2276 - val_loss: 2.8763 - val_accuracy: 0.1572\n",
      "Epoch 5/20\n",
      "665/665 [==============================] - 84s 127ms/step - loss: 2.4098 - accuracy: 0.2503 - val_loss: 2.4505 - val_accuracy: 0.2312\n",
      "Epoch 6/20\n",
      "665/665 [==============================] - 86s 129ms/step - loss: 2.3059 - accuracy: 0.2848 - val_loss: 2.4723 - val_accuracy: 0.2381\n",
      "Epoch 7/20\n",
      "665/665 [==============================] - 83s 124ms/step - loss: 2.2504 - accuracy: 0.3001 - val_loss: 2.7227 - val_accuracy: 0.1997\n",
      "Epoch 8/20\n",
      "665/665 [==============================] - 82s 124ms/step - loss: 2.2068 - accuracy: 0.3161 - val_loss: 2.4464 - val_accuracy: 0.2616\n",
      "Epoch 9/20\n",
      "665/665 [==============================] - 86s 130ms/step - loss: 2.1236 - accuracy: 0.3431 - val_loss: 3.8554 - val_accuracy: 0.1505\n",
      "Epoch 10/20\n",
      "665/665 [==============================] - 84s 126ms/step - loss: 2.1190 - accuracy: 0.3390 - val_loss: 2.7076 - val_accuracy: 0.1981\n",
      "Epoch 11/20\n",
      "665/665 [==============================] - 83s 125ms/step - loss: 2.0384 - accuracy: 0.3652 - val_loss: 2.6465 - val_accuracy: 0.2093\n",
      "Epoch 12/20\n",
      "665/665 [==============================] - 85s 128ms/step - loss: 1.9795 - accuracy: 0.3805 - val_loss: 2.3695 - val_accuracy: 0.2799\n",
      "Epoch 13/20\n",
      "665/665 [==============================] - 82s 124ms/step - loss: 1.8900 - accuracy: 0.4068 - val_loss: 2.4340 - val_accuracy: 0.2784\n",
      "Epoch 14/20\n",
      "665/665 [==============================] - 85s 128ms/step - loss: 1.8283 - accuracy: 0.4273 - val_loss: 2.3551 - val_accuracy: 0.3104\n",
      "Epoch 15/20\n",
      "665/665 [==============================] - 83s 125ms/step - loss: 1.7609 - accuracy: 0.4490 - val_loss: 2.2691 - val_accuracy: 0.3208\n",
      "Epoch 16/20\n",
      "665/665 [==============================] - 84s 126ms/step - loss: 1.6796 - accuracy: 0.4714 - val_loss: 3.0931 - val_accuracy: 0.1756\n",
      "Epoch 17/20\n",
      "665/665 [==============================] - 84s 126ms/step - loss: 1.6718 - accuracy: 0.4715 - val_loss: 2.5577 - val_accuracy: 0.2769\n",
      "Epoch 18/20\n",
      "665/665 [==============================] - 83s 125ms/step - loss: 1.5987 - accuracy: 0.4973 - val_loss: 2.8064 - val_accuracy: 0.2245\n",
      "Epoch 19/20\n",
      "665/665 [==============================] - 83s 124ms/step - loss: 1.6045 - accuracy: 0.4943 - val_loss: 2.7921 - val_accuracy: 0.2571\n",
      "Epoch 20/20\n",
      "665/665 [==============================] - 84s 126ms/step - loss: 1.4680 - accuracy: 0.5378 - val_loss: 3.2636 - val_accuracy: 0.2101\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": "3fdbef3c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T02:07:15.187001Z",
     "iopub.status.busy": "2023-04-23T02:07:15.186623Z",
     "iopub.status.idle": "2023-04-23T02:07:25.937305Z",
     "shell.execute_reply": "2023-04-23T02:07:25.935604Z"
    },
    "papermill": {
     "duration": 14.594906,
     "end_time": "2023-04-23T02:07:25.939734",
     "exception": false,
     "start_time": "2023-04-23T02:07:11.344828",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Loss: 1.4679863452911377\n",
      "Train Acc: 0.5378117561340332\n",
      "\n",
      "Test Loss: 3.280867099761963\n",
      "Test Acc: 0.20659999549388885\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": "f16fda52",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-23T02:07:34.466131Z",
     "iopub.status.busy": "2023-04-23T02:07:34.465749Z",
     "iopub.status.idle": "2023-04-23T02:07:34.919013Z",
     "shell.execute_reply": "2023-04-23T02:07:34.918027Z"
    },
    "papermill": {
     "duration": 5.051882,
     "end_time": "2023-04-23T02:07:34.921256",
     "exception": false,
     "start_time": "2023-04-23T02:07:29.869374",
     "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_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": 9785.23313,
   "end_time": "2023-04-23T02:07:42.035631",
   "environment_variables": {},
   "exception": null,
   "input_path": "__notebook__.ipynb",
   "output_path": "__notebook__.ipynb",
   "parameters": {},
   "start_time": "2023-04-22T23:24:36.802501",
   "version": "2.4.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}