Traffic_sign_classification.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "Gew5AoKUWlzP"
   },
   "outputs": [],
   "source": [
    "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import matplotlib.image as mpimg\n",
    "from sklearn.metrics import classification_report, confusion_matrix, accuracy_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "8w7TfRmTW7hT",
    "outputId": "d7a757f8-da40-435b-950d-aacc267acdbb"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Speed limit (5km/h)', 'Speed limit (15km/h)', 'Speed limit (30km/h)', 'Speed limit (40km/h)', 'Speed limit (50km/h)', 'Speed limit (60km/h)', 'Speed limit (70km/h)', 'speed limit (80km/h)', 'Dont Go straight or left', 'Dont Go straight or Right', 'Dont Go straight', 'Dont Go Left', 'Dont Go Left or Right', 'Dont Go Right', 'Dont overtake from Left', 'No Uturn', 'No Car', 'No horn', 'Speed limit (40km/h)', 'Speed limit (50km/h)', 'Go straight or right', 'Go straight', 'Go Left', 'Go Left or right', 'Go Right', 'keep Left', 'keep Right', 'Roundabout mandatory', 'watch out for cars', 'Horn', 'Bicycles crossing', 'Uturn', 'Road Divider', 'Traffic signals', 'Danger Ahead', 'Zebra Crossing', 'Bicycles crossing', 'Children crossing', 'Dangerous curve to the left', 'Dangerous curve to the right', 'Unknown1', 'Unknown2', 'Unknown3', 'Go right or straight', 'Go left or straight', 'Unknown4', 'ZigZag Curve', 'Train Crossing', 'Under Construction', 'Unknown5', 'Fences', 'Heavy Vehicle Accidents', 'Unknown6', 'Give Way', 'No stopping', 'No entry', 'Unknown7', 'Unknown8']\n"
     ]
    }
   ],
   "source": [
    "# get class names\n",
    "class_path = './Traffic_signs/labels.csv'\n",
    "classes = pd.read_csv(class_path)\n",
    "class_names = list(classes['Name'])\n",
    "print(class_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "id": "wkQjKIRfY4_J"
   },
   "outputs": [],
   "source": [
    "data_dir = './Traffic_signs/traffic_Data/DATA'\n",
    "num_images = pd.DataFrame(class_names, columns=['label'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 206
    },
    "id": "thVqNE57ZKEY",
    "outputId": "32b98e41-0233-413d-f5ec-f558019bcb40"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Speed limit (5km/h)</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Speed limit (15km/h)</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Speed limit (30km/h)</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Speed limit (40km/h)</td>\n",
       "      <td>156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Speed limit (50km/h)</td>\n",
       "      <td>110</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  label  count\n",
       "0   Speed limit (5km/h)     56\n",
       "1  Speed limit (15km/h)      6\n",
       "2  Speed limit (30km/h)     14\n",
       "3  Speed limit (40km/h)    156\n",
       "4  Speed limit (50km/h)    110"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count = []\n",
    "for dir in os.listdir(data_dir):\n",
    "    count.append(len(os.listdir(data_dir + '/' + dir)))\n",
    "num_images['count'] = count\n",
    "num_images.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "ND2uewJ5IYUl",
    "outputId": "e420e22c-b9dd-495e-bcbe-103f0c33f623"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "label\n",
       "Bicycles crossing               2\n",
       "Speed limit (40km/h)            2\n",
       "Speed limit (50km/h)            2\n",
       "Go left or straight             1\n",
       "Road Divider                    1\n",
       "Traffic signals                 1\n",
       "Danger Ahead                    1\n",
       "Zebra Crossing                  1\n",
       "Children crossing               1\n",
       "Dangerous curve to the left     1\n",
       "Dangerous curve to the right    1\n",
       "Unknown1                        1\n",
       "Unknown2                        1\n",
       "Unknown3                        1\n",
       "Go right or straight            1\n",
       "Speed limit (5km/h)             1\n",
       "Unknown4                        1\n",
       "Uturn                           1\n",
       "Train Crossing                  1\n",
       "Under Construction              1\n",
       "Unknown5                        1\n",
       "Fences                          1\n",
       "Heavy Vehicle Accidents         1\n",
       "Unknown6                        1\n",
       "Give Way                        1\n",
       "No stopping                     1\n",
       "No entry                        1\n",
       "Unknown7                        1\n",
       "ZigZag Curve                    1\n",
       "Horn                            1\n",
       "Speed limit (15km/h)            1\n",
       "Dont overtake from Left         1\n",
       "Speed limit (30km/h)            1\n",
       "Speed limit (60km/h)            1\n",
       "Speed limit (70km/h)            1\n",
       "speed limit (80km/h)            1\n",
       "Dont Go straight or left        1\n",
       "Dont Go straight or Right       1\n",
       "Dont Go straight                1\n",
       "Dont Go Left                    1\n",
       "Dont Go Left or Right           1\n",
       "Dont Go Right                   1\n",
       "No Uturn                        1\n",
       "watch out for cars              1\n",
       "No Car                          1\n",
       "No horn                         1\n",
       "Go straight or right            1\n",
       "Go straight                     1\n",
       "Go Left                         1\n",
       "Go Left or right                1\n",
       "Go Right                        1\n",
       "keep Left                       1\n",
       "keep Right                      1\n",
       "Roundabout mandatory            1\n",
       "Unknown8                        1\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_images.label.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 453
    },
    "id": "sOS3tq-KIbhz",
    "outputId": "7448a80c-651f-4b7e-c2e6-ba54cd8caa76"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "fig, axs = plt.subplots(3, 2)\n",
    "img = mpimg.imread('./Traffic_signs/traffic_Data/DATA/36/036_0001.png')\n",
    "axs[0,0].imshow(img)\n",
    "img = mpimg.imread('./Traffic_signs/traffic_Data/DATA/30/030_0001.png')\n",
    "axs[0,1].imshow(img)\n",
    "img = mpimg.imread('./Traffic_signs/traffic_Data/DATA/3/003_0001.png')\n",
    "axs[1,0].imshow(img)\n",
    "img = mpimg.imread('./Traffic_signs/traffic_Data/DATA/18/018_0001.png')\n",
    "axs[1,1].imshow(img)\n",
    "img = mpimg.imread('./Traffic_signs/traffic_Data/DATA/4/004_0001.png')\n",
    "axs[2,0].imshow(img)\n",
    "img = mpimg.imread('./Traffic_signs/traffic_Data/DATA/19/019_0001.png')\n",
    "axs[2,1].imshow(img)\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 363
    },
    "id": "ClR6-5XOJGzB",
    "outputId": "01da0ee5-ad75-4af0-aa4b-01419adf70b3"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>label</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Unknown8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Danger Ahead</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Dont Go Left</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Go Right</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>speed limit (80km/h)</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Speed limit (15km/h)</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Speed limit (60km/h)</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Dont Go straight or Right</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>keep Right</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Unknown3</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        label  count\n",
       "57                   Unknown8      2\n",
       "34               Danger Ahead      2\n",
       "11               Dont Go Left      2\n",
       "24                   Go Right      4\n",
       "7        speed limit (80km/h)      4\n",
       "1        Speed limit (15km/h)      6\n",
       "5        Speed limit (60km/h)      8\n",
       "9   Dont Go straight or Right      8\n",
       "26                 keep Right      8\n",
       "42                   Unknown3     10"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_images.sort_values('count')[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "id": "Io-TVq7_J8_2"
   },
   "outputs": [],
   "source": [
    "datagen = ImageDataGenerator(rescale = 1.0/255, validation_split=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "QNo3b-kMJ_WT",
    "outputId": "54656037-f639-4bfd-eb07-c21edc7acec3"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 2085 images belonging to 58 classes.\n",
      "Found 2085 images belonging to 58 classes.\n"
     ]
    }
   ],
   "source": [
    "BATCH_SIZE = 32\n",
    "train_gen = datagen.flow_from_directory(data_dir, class_mode='categorical', subset='training', batch_size=BATCH_SIZE)\n",
    "test_gen = datagen.flow_from_directory(data_dir, class_mode='categorical', subset='validation', batch_size=BATCH_SIZE, shuffle=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "jko-pjjpKHvH",
    "outputId": "3c360df9-0e8f-4199-d140-d56f8e94b6dd"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2085\n"
     ]
    }
   ],
   "source": [
    "train_images = train_gen.samples\n",
    "test_images = test_gen.samples\n",
    "\n",
    "print(train_images)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "L4XrfoAzKfJc",
    "outputId": "269387d8-cf60-403d-94bf-5c0598a743eb"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train batch shape=(32, 256, 256, 3), min=0.000, max=1.000\n",
      "test batch shape=(32, 256, 256, 3), min=0.000, max=1.000\n"
     ]
    }
   ],
   "source": [
    "# check iterators are working\n",
    "batchX, batchY = train_gen.next()\n",
    "print('train batch shape=%s, min=%.3f, max=%.3f' % (batchX.shape, batchX.min(), batchX.max()))\n",
    "batchX, batchY = test_gen.next()\n",
    "print('test batch shape=%s, min=%.3f, max=%.3f' % (batchX.shape, batchX.min(), batchX.max()))\n",
    "input_shape = batchX.shape[1:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "id": "ve7Ev9KaW94M"
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from tensorflow.keras.applications import VGG16\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "SYCoXhYhXAZB",
    "outputId": "e74a7396-0b46-452c-d5e0-bd5b3b8aa896"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/vgg16/vgg16_weights_tf_dim_ordering_tf_kernels_notop.h5\n",
      "58889256/58889256 [==============================] - 4s 0us/step\n",
      "Model: \"vgg16\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " input_1 (InputLayer)        [(None, 256, 256, 3)]     0         \n",
      "                                                                 \n",
      " block1_conv1 (Conv2D)       (None, 256, 256, 64)      1792      \n",
      "                                                                 \n",
      " block1_conv2 (Conv2D)       (None, 256, 256, 64)      36928     \n",
      "                                                                 \n",
      " block1_pool (MaxPooling2D)  (None, 128, 128, 64)      0         \n",
      "                                                                 \n",
      " block2_conv1 (Conv2D)       (None, 128, 128, 128)     73856     \n",
      "                                                                 \n",
      " block2_conv2 (Conv2D)       (None, 128, 128, 128)     147584    \n",
      "                                                                 \n",
      " block2_pool (MaxPooling2D)  (None, 64, 64, 128)       0         \n",
      "                                                                 \n",
      " block3_conv1 (Conv2D)       (None, 64, 64, 256)       295168    \n",
      "                                                                 \n",
      " block3_conv2 (Conv2D)       (None, 64, 64, 256)       590080    \n",
      "                                                                 \n",
      " block3_conv3 (Conv2D)       (None, 64, 64, 256)       590080    \n",
      "                                                                 \n",
      " block3_pool (MaxPooling2D)  (None, 32, 32, 256)       0         \n",
      "                                                                 \n",
      " block4_conv1 (Conv2D)       (None, 32, 32, 512)       1180160   \n",
      "                                                                 \n",
      " block4_conv2 (Conv2D)       (None, 32, 32, 512)       2359808   \n",
      "                                                                 \n",
      " block4_conv3 (Conv2D)       (None, 32, 32, 512)       2359808   \n",
      "                                                                 \n",
      " block4_pool (MaxPooling2D)  (None, 16, 16, 512)       0         \n",
      "                                                                 \n",
      " block5_conv1 (Conv2D)       (None, 16, 16, 512)       2359808   \n",
      "                                                                 \n",
      " block5_conv2 (Conv2D)       (None, 16, 16, 512)       2359808   \n",
      "                                                                 \n",
      " block5_conv3 (Conv2D)       (None, 16, 16, 512)       2359808   \n",
      "                                                                 \n",
      " block5_pool (MaxPooling2D)  (None, 8, 8, 512)         0         \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 14714688 (56.13 MB)\n",
      "Trainable params: 0 (0.00 Byte)\n",
      "Non-trainable params: 14714688 (56.13 MB)\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "vgg16_obj = VGG16(include_top = False, input_shape = (256,256,3))    #  include_top = False is used to skip the layer from flattern\n",
    "for layer in vgg16_obj.layers:             # Off the training of the trainable parameters\n",
    "    layer.trainable = False\n",
    "vgg16_obj.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "yCyVUbjQXC7y",
    "outputId": "6426a2b5-3b4a-4f90-c804-5022e09276f3"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<KerasTensor: shape=(None, 8, 8, 512) dtype=float32 (created by layer 'block5_pool')>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vgg16_obj.output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "W6MwkVEeXG3V",
    "outputId": "409adc4c-c62c-4dee-a143-4088fcfc1e6d"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<KerasTensor: shape=(None, 58) dtype=float32 (created by layer 'dense')>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from tensorflow.keras.models import Sequential, Model\n",
    "from tensorflow.keras.layers import Dense,Flatten\n",
    "f1 = Flatten()(vgg16_obj.output)\n",
    "final_layer = Dense(58, activation='softmax')(f1)\n",
    "final_layer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "73jiotioXI44",
    "outputId": "b168a28e-3e00-43df-fa8f-4b78a9119892"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"model_1\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " input_1 (InputLayer)        [(None, 256, 256, 3)]     0         \n",
      "                                                                 \n",
      " block1_conv1 (Conv2D)       (None, 256, 256, 64)      1792      \n",
      "                                                                 \n",
      " block1_conv2 (Conv2D)       (None, 256, 256, 64)      36928     \n",
      "                                                                 \n",
      " block1_pool (MaxPooling2D)  (None, 128, 128, 64)      0         \n",
      "                                                                 \n",
      " block2_conv1 (Conv2D)       (None, 128, 128, 128)     73856     \n",
      "                                                                 \n",
      " block2_conv2 (Conv2D)       (None, 128, 128, 128)     147584    \n",
      "                                                                 \n",
      " block2_pool (MaxPooling2D)  (None, 64, 64, 128)       0         \n",
      "                                                                 \n",
      " block3_conv1 (Conv2D)       (None, 64, 64, 256)       295168    \n",
      "                                                                 \n",
      " block3_conv2 (Conv2D)       (None, 64, 64, 256)       590080    \n",
      "                                                                 \n",
      " block3_conv3 (Conv2D)       (None, 64, 64, 256)       590080    \n",
      "                                                                 \n",
      " block3_pool (MaxPooling2D)  (None, 32, 32, 256)       0         \n",
      "                                                                 \n",
      " block4_conv1 (Conv2D)       (None, 32, 32, 512)       1180160   \n",
      "                                                                 \n",
      " block4_conv2 (Conv2D)       (None, 32, 32, 512)       2359808   \n",
      "                                                                 \n",
      " block4_conv3 (Conv2D)       (None, 32, 32, 512)       2359808   \n",
      "                                                                 \n",
      " block4_pool (MaxPooling2D)  (None, 16, 16, 512)       0         \n",
      "                                                                 \n",
      " block5_conv1 (Conv2D)       (None, 16, 16, 512)       2359808   \n",
      "                                                                 \n",
      " block5_conv2 (Conv2D)       (None, 16, 16, 512)       2359808   \n",
      "                                                                 \n",
      " block5_conv3 (Conv2D)       (None, 16, 16, 512)       2359808   \n",
      "                                                                 \n",
      " block5_pool (MaxPooling2D)  (None, 8, 8, 512)         0         \n",
      "                                                                 \n",
      " flatten (Flatten)           (None, 32768)             0         \n",
      "                                                                 \n",
      " dense (Dense)               (None, 58)                1900602   \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 16615290 (63.38 MB)\n",
      "Trainable params: 1900602 (7.25 MB)\n",
      "Non-trainable params: 14714688 (56.13 MB)\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model_vgg = Model(inputs=vgg16_obj.input,outputs=final_layer)\n",
    "model_vgg.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "id": "Ruv_hbzUXY40"
   },
   "outputs": [],
   "source": [
    "model_vgg.compile('adam',loss='categorical_crossentropy', metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "kzO7YzyDXbAH",
    "outputId": "4b5a2672-4d67-4014-a596-b53775b06b2b"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/3\n",
      "66/66 [==============================] - 796s 12s/step - loss: 1.4597 - accuracy: 0.7472 - val_loss: 0.2383 - val_accuracy: 0.9333\n",
      "Epoch 2/3\n",
      "66/66 [==============================] - 992s 15s/step - loss: 0.1073 - accuracy: 0.9770 - val_loss: 0.0329 - val_accuracy: 0.9909\n",
      "Epoch 3/3\n",
      "66/66 [==============================] - 924s 14s/step - loss: 0.0233 - accuracy: 0.9938 - val_loss: 0.0221 - val_accuracy: 0.9933\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.src.callbacks.History at 0x3191594c0>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_vgg.fit(train_gen, validation_data= test_gen,epochs=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "u4om_MhuXdOf",
    "outputId": "43bdd721-f02a-4831-f2b5-2939de85c495"
   },
   "outputs": [],
   "source": [
    "model_vgg.save('Trafffic_sign_prediction-vgg16.keras')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "id": "Uv7K3YKQ_e8d"
   },
   "outputs": [],
   "source": [
    "from tensorflow.keras.models import load_model\n",
    "\n",
    "loaded_model_vgg = load_model(\"Trafffic_sign_prediction-vgg16.h5\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "z4DLuik__rlA",
    "outputId": "002240a5-4dd0-4739-80a5-d2eedfd83cd6"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "66/66 [==============================] - 303s 5s/step\n"
     ]
    }
   ],
   "source": [
    "test_gen.reset()\n",
    "raw_predictions_vgg = loaded_model_vgg.predict(test_gen)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "id": "wsFBjnB7_2QH"
   },
   "outputs": [],
   "source": [
    "predictions_vgg = []\n",
    "for item in raw_predictions_vgg:\n",
    "    predictions_vgg.append(np.argmax(item))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "nHEQNF6k_6pl",
    "outputId": "ef454874-d09b-42f9-a313-4a2b8d67da74"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       1.00      1.00      1.00        59\n",
      "           1       1.00      1.00      1.00        20\n",
      "           2       1.00      1.00      1.00        35\n",
      "           3       1.00      1.00      1.00        69\n",
      "           4       1.00      1.00      1.00        48\n",
      "           5       1.00      1.00      1.00        18\n",
      "           6       1.00      1.00      1.00        64\n",
      "           7       1.00      1.00      1.00        11\n",
      "           8       1.00      1.00      1.00        71\n",
      "           9       1.00      1.00      1.00        65\n",
      "          10       1.00      1.00      1.00         4\n",
      "          11       1.00      1.00      1.00         2\n",
      "          12       1.00      1.00      1.00        40\n",
      "          13       1.00      1.00      1.00         9\n",
      "          14       1.00      1.00      1.00         6\n",
      "          15       1.00      1.00      1.00         9\n",
      "          16       1.00      1.00      1.00         7\n",
      "          17       1.00      1.00      1.00        50\n",
      "          18       1.00      1.00      1.00         1\n",
      "          19       1.00      1.00      1.00        63\n",
      "          20       1.00      1.00      1.00        14\n",
      "          21       1.00      1.00      1.00       223\n",
      "          22       1.00      1.00      1.00        22\n",
      "          23       1.00      1.00      1.00       130\n",
      "          24       1.00      1.00      1.00        75\n",
      "          25       1.00      1.00      1.00        21\n",
      "          26       1.00      1.00      1.00         7\n",
      "          27       1.00      1.00      1.00         2\n",
      "          28       1.00      1.00      1.00        13\n",
      "          29       1.00      0.92      0.96        78\n",
      "          30       0.87      1.00      0.93        20\n",
      "          31       1.00      1.00      1.00        29\n",
      "          32       0.83      1.00      0.91        15\n",
      "          33       1.00      1.00      1.00        17\n",
      "          34       1.00      1.00      1.00        49\n",
      "          35       1.00      1.00      1.00        16\n",
      "          36       1.00      1.00      1.00         9\n",
      "          37       1.00      1.00      1.00        16\n",
      "          38       0.84      1.00      0.91        41\n",
      "          39       1.00      0.53      0.70        15\n",
      "          40       1.00      1.00      1.00        12\n",
      "          41       1.00      1.00      1.00         9\n",
      "          42       1.00      1.00      1.00         6\n",
      "          43       1.00      1.00      1.00         5\n",
      "          44       1.00      0.95      0.98        21\n",
      "          45       1.00      1.00      1.00        97\n",
      "          46       1.00      1.00      1.00        28\n",
      "          47       1.00      1.00      1.00         4\n",
      "          48       1.00      1.00      1.00        18\n",
      "          49       1.00      1.00      1.00         1\n",
      "          50       1.00      1.00      1.00       162\n",
      "          51       1.00      1.00      1.00        81\n",
      "          52       1.00      1.00      1.00        55\n",
      "          53       1.00      1.00      1.00         3\n",
      "          54       1.00      1.00      1.00        39\n",
      "          55       1.00      1.00      1.00        76\n",
      "          56       1.00      1.00      1.00         4\n",
      "          57       1.00      1.00      1.00         1\n",
      "\n",
      "    accuracy                           0.99      2085\n",
      "   macro avg       0.99      0.99      0.99      2085\n",
      "weighted avg       0.99      0.99      0.99      2085\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(test_gen.labels, predictions_vgg))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "id": "cnBXAo39_92S"
   },
   "outputs": [],
   "source": [
    "cm_vgg = confusion_matrix(test_gen.labels, predictions_vgg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "3_2mok6QABFz",
    "outputId": "97fd9313-5b06-4300-dd5a-80d18d37171c"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x1600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 16))\n",
    "sns.heatmap(cm_vgg, annot=True, vmin=0, fmt='g', cmap='Blues', cbar=False)\n",
    "plt.xlabel(\"Predicted\")\n",
    "plt.ylabel(\"Actual\")\n",
    "plt.title(\"Confusion Matrix\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "cr_vgg=classification_report(test_gen.labels, predictions_vgg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "e_Z-TZgl_f_O"
   },
   "source": [
    "# ***Xception***\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "id": "swu7QP-t1LI5"
   },
   "outputs": [],
   "source": [
    "from tensorflow.keras.applications.xception import Xception\n",
    "from tensorflow.keras import Sequential\n",
    "from tensorflow.keras.layers import Dense, Flatten, Dropout\n",
    "from tensorflow.keras.callbacks import EarlyStopping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "BC8d7-xM5FUU",
    "outputId": "6d816c69-3ad8-4288-d52a-81e6246d148c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/xception/xception_weights_tf_dim_ordering_tf_kernels_notop.h5\n",
      "83683744/83683744 [==============================] - 3s 0us/step\n"
     ]
    }
   ],
   "source": [
    "pretrained_base=Xception(include_top=False, input_shape = input_shape, pooling='avg', weights=\"imagenet\")\n",
    "pretrained_base.trainable=False\n",
    "model_Xception = Sequential(\n",
    "    [\n",
    "    pretrained_base,\n",
    "    Flatten(),\n",
    "    Dense(256, activation='relu'),\n",
    "    Dropout(0.1),\n",
    "    Dense(len(class_names), activation='softmax')\n",
    "    ]\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "wVXSUO7w5KYp",
    "outputId": "4b36c71a-2a32-48b2-8cdc-d3d82a22b7b6"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " xception (Functional)       (None, 2048)              20861480  \n",
      "                                                                 \n",
      " flatten_1 (Flatten)         (None, 2048)              0         \n",
      "                                                                 \n",
      " dense_1 (Dense)             (None, 256)               524544    \n",
      "                                                                 \n",
      " dropout (Dropout)           (None, 256)               0         \n",
      "                                                                 \n",
      " dense_2 (Dense)             (None, 58)                14906     \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 21400930 (81.64 MB)\n",
      "Trainable params: 539450 (2.06 MB)\n",
      "Non-trainable params: 20861480 (79.58 MB)\n",
      "_________________________________________________________________\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "print(model_Xception.summary())\n",
    "model_Xception.compile('adam', loss='categorical_crossentropy', metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "id": "3s5xzyhR5PTq"
   },
   "outputs": [],
   "source": [
    "callback= EarlyStopping(\n",
    "  monitor=\"val_loss\",\n",
    "  min_delta=0.001,\n",
    "  patience=5,\n",
    "  restore_best_weights=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "2UEHa9Km5SXC",
    "outputId": "982bc729-1a10-4a53-afe3-00039456d534"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/3\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/8v/bzsq1_6j4qz1m9gqdzvgfjrc0000gn/T/ipykernel_3970/1359605203.py:1: UserWarning: `Model.fit_generator` is deprecated and will be removed in a future version. Please use `Model.fit`, which supports generators.\n",
      "  hist = model_Xception.fit_generator(generator=train_gen, validation_data= test_gen, epochs=3)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "66/66 [==============================] - 201s 3s/step - loss: 2.0597 - accuracy: 0.5132 - val_loss: 0.9083 - val_accuracy: 0.7923\n",
      "Epoch 2/3\n",
      "66/66 [==============================] - 218s 3s/step - loss: 0.7587 - accuracy: 0.8120 - val_loss: 0.4269 - val_accuracy: 0.9213\n",
      "Epoch 3/3\n",
      "66/66 [==============================] - 222s 3s/step - loss: 0.4120 - accuracy: 0.9108 - val_loss: 0.2631 - val_accuracy: 0.9549\n"
     ]
    }
   ],
   "source": [
    "hist = model_Xception.fit_generator(generator=train_gen, validation_data= test_gen, epochs=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 490
    },
    "id": "KMo5gOaH5VLa",
    "outputId": "6b17cc32-b961-4546-892a-0fc52da11d9a"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x3467405b0>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot results\n",
    "plt.figure()\n",
    "plt.plot(hist.history['accuracy'])\n",
    "plt.plot(hist.history['val_accuracy'])\n",
    "plt.xlabel('Epoch')\n",
    "plt.ylabel('Accuracy')\n",
    "plt.title('Training vs Validation Accuracy')\n",
    "plt.legend([\"Accuracy\",\"Validation Accuracy\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "XpYaT0hi5b_U",
    "outputId": "228341b5-a24b-400c-9237-d7dbddeff2db"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/lakshmikeerthanaaravapalli/.pyenv/versions/3.9.2/lib/python3.9/site-packages/keras/src/engine/training.py:3103: UserWarning: You are saving your model as an HDF5 file via `model.save()`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')`.\n",
      "  saving_api.save_model(\n"
     ]
    }
   ],
   "source": [
    "model.save('Trafffic_sign_prediction-xception.h5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "O08UDbxS9mB1",
    "outputId": "ff024431-4238-487e-daa7-752978d65849"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "66/66 [==============================] - 100s 2s/step\n"
     ]
    }
   ],
   "source": [
    "test_gen.reset()\n",
    "raw_predictions_Xception = model_Xception.predict(test_gen)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "id": "pV7kJdOE9n5t"
   },
   "outputs": [],
   "source": [
    "predictions_Xception = []\n",
    "for item in raw_predictions_Xception:\n",
    "    predictions_Xception.append(np.argmax(item))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "OYM4Qnre9qFm",
    "outputId": "3beed3ca-ed93-4ea3-9323-f6c5c4978694"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       1.00      1.00      1.00        59\n",
      "           1       1.00      0.85      0.92        20\n",
      "           2       1.00      1.00      1.00        35\n",
      "           3       0.99      0.96      0.97        69\n",
      "           4       1.00      1.00      1.00        48\n",
      "           5       1.00      0.89      0.94        18\n",
      "           6       1.00      0.95      0.98        64\n",
      "           7       1.00      1.00      1.00        11\n",
      "           8       1.00      0.99      0.99        71\n",
      "           9       0.96      1.00      0.98        65\n",
      "          10       1.00      1.00      1.00         4\n",
      "          11       1.00      0.50      0.67         2\n",
      "          12       0.86      0.95      0.90        40\n",
      "          13       1.00      0.89      0.94         9\n",
      "          14       1.00      1.00      1.00         6\n",
      "          15       1.00      0.78      0.88         9\n",
      "          16       1.00      0.86      0.92         7\n",
      "          17       1.00      0.98      0.99        50\n",
      "          18       0.00      0.00      0.00         1\n",
      "          19       0.95      1.00      0.98        63\n",
      "          20       1.00      1.00      1.00        14\n",
      "          21       1.00      1.00      1.00       223\n",
      "          22       0.96      1.00      0.98        22\n",
      "          23       0.89      0.98      0.93       130\n",
      "          24       1.00      1.00      1.00        75\n",
      "          25       1.00      1.00      1.00        21\n",
      "          26       1.00      1.00      1.00         7\n",
      "          27       1.00      1.00      1.00         2\n",
      "          28       1.00      0.92      0.96        13\n",
      "          29       0.97      0.96      0.97        78\n",
      "          30       0.91      1.00      0.95        20\n",
      "          31       1.00      0.83      0.91        29\n",
      "          32       1.00      0.20      0.33        15\n",
      "          33       1.00      0.71      0.83        17\n",
      "          34       0.89      0.96      0.92        49\n",
      "          35       0.89      1.00      0.94        16\n",
      "          36       1.00      0.89      0.94         9\n",
      "          37       1.00      0.88      0.93        16\n",
      "          38       0.87      1.00      0.93        41\n",
      "          39       1.00      0.60      0.75        15\n",
      "          40       0.65      0.92      0.76        12\n",
      "          41       1.00      0.44      0.62         9\n",
      "          42       0.86      1.00      0.92         6\n",
      "          43       1.00      1.00      1.00         5\n",
      "          44       0.50      1.00      0.67        21\n",
      "          45       0.99      0.77      0.87        97\n",
      "          46       1.00      0.96      0.98        28\n",
      "          47       0.67      1.00      0.80         4\n",
      "          48       1.00      1.00      1.00        18\n",
      "          49       0.00      0.00      0.00         1\n",
      "          50       1.00      1.00      1.00       162\n",
      "          51       1.00      1.00      1.00        81\n",
      "          52       0.98      1.00      0.99        55\n",
      "          53       1.00      1.00      1.00         3\n",
      "          54       1.00      0.97      0.99        39\n",
      "          55       0.84      0.97      0.90        76\n",
      "          56       1.00      0.75      0.86         4\n",
      "          57       1.00      1.00      1.00         1\n",
      "\n",
      "    accuracy                           0.95      2085\n",
      "   macro avg       0.92      0.88      0.89      2085\n",
      "weighted avg       0.96      0.95      0.95      2085\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/lakshmikeerthanaaravapalli/.pyenv/versions/3.9.2/lib/python3.9/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
      "/Users/lakshmikeerthanaaravapalli/.pyenv/versions/3.9.2/lib/python3.9/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
      "/Users/lakshmikeerthanaaravapalli/.pyenv/versions/3.9.2/lib/python3.9/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(test_gen.labels, predictions_Xception))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "id": "O2RPTs_c9sb2"
   },
   "outputs": [],
   "source": [
    "cm_Xception = confusion_matrix(test_gen.labels, predictions_Xception)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "5p2wLuWu9wd6",
    "outputId": "838158ee-f2cc-49cd-f00a-1c44d4ae1a7f"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x1600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 16))\n",
    "sns.heatmap(cm_Xception, annot=True, vmin=0, fmt='g', cmap='Blues', cbar=False)\n",
    "plt.xlabel(\"Predicted\")\n",
    "plt.ylabel(\"Actual\")\n",
    "plt.title(\"Confusion Matrix\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/lakshmikeerthanaaravapalli/.pyenv/versions/3.9.2/lib/python3.9/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
      "/Users/lakshmikeerthanaaravapalli/.pyenv/versions/3.9.2/lib/python3.9/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
      "/Users/lakshmikeerthanaaravapalli/.pyenv/versions/3.9.2/lib/python3.9/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n"
     ]
    }
   ],
   "source": [
    "cr_Xception=classification_report(test_gen.labels, predictions_Xception)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ResNet50"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/resnet/resnet50_weights_tf_dim_ordering_tf_kernels_notop.h5\n",
      "94765736/94765736 [==============================] - 3s 0us/step\n"
     ]
    }
   ],
   "source": [
    "from tensorflow.keras.applications import ResNet50\n",
    "\n",
    "base_model = ResNet50(input_shape=input_shape, include_top=False, weights=\"imagenet\")\n",
    "for layer in base_model.layers:\n",
    "    layer.trainable = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_1\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " resnet50 (Functional)       (None, 8, 8, 2048)        23587712  \n",
      "                                                                 \n",
      " flatten_2 (Flatten)         (None, 131072)            0         \n",
      "                                                                 \n",
      " dense_3 (Dense)             (None, 58)                7602234   \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 31189946 (118.98 MB)\n",
      "Trainable params: 7602234 (29.00 MB)\n",
      "Non-trainable params: 23587712 (89.98 MB)\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "rom tensorflow.keras.layers import Dense,Flatten, Dropout\n",
    "from tensorflow.keras.models import Model\n",
    "\n",
    "\n",
    "model_ResNet50 = Sequential(\n",
    "    [\n",
    "    base_model,\n",
    "    Flatten(),\n",
    "    Dense(len(class_names), activation='softmax')\n",
    "    ]\n",
    ")\n",
    "\n",
    "model_ResNet50.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:absl:At this time, the v2.11+ optimizer `tf.keras.optimizers.Adam` runs slowly on M1/M2 Macs, please use the legacy Keras optimizer instead, located at `tf.keras.optimizers.legacy.Adam`.\n"
     ]
    }
   ],
   "source": [
    "from tensorflow.keras.optimizers import Adam\n",
    "\n",
    "model_ResNet50.compile(optimizer=Adam(),loss='categorical_crossentropy', metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/20\n",
      "66/66 [==============================] - 186s 3s/step - loss: 33.9029 - accuracy: 0.1189 - val_loss: 16.7325 - val_accuracy: 0.2374\n",
      "Epoch 2/20\n",
      "66/66 [==============================] - 210s 3s/step - loss: 8.8967 - accuracy: 0.3832 - val_loss: 5.9564 - val_accuracy: 0.4638\n",
      "Epoch 3/20\n",
      "66/66 [==============================] - 218s 3s/step - loss: 5.0990 - accuracy: 0.5065 - val_loss: 3.7715 - val_accuracy: 0.5458\n",
      "Epoch 4/20\n",
      "66/66 [==============================] - 210s 3s/step - loss: 3.3454 - accuracy: 0.5731 - val_loss: 3.9110 - val_accuracy: 0.5549\n",
      "Epoch 5/20\n",
      "66/66 [==============================] - 208s 3s/step - loss: 3.1724 - accuracy: 0.6197 - val_loss: 3.2711 - val_accuracy: 0.6398\n",
      "Epoch 6/20\n",
      "66/66 [==============================] - 218s 3s/step - loss: 3.6729 - accuracy: 0.6225 - val_loss: 3.5136 - val_accuracy: 0.6772\n",
      "Epoch 7/20\n",
      "66/66 [==============================] - 252s 4s/step - loss: 4.5862 - accuracy: 0.5794 - val_loss: 3.2963 - val_accuracy: 0.6700\n",
      "Epoch 8/20\n",
      "66/66 [==============================] - 268s 4s/step - loss: 2.5085 - accuracy: 0.6974 - val_loss: 3.1538 - val_accuracy: 0.6460\n",
      "Epoch 9/20\n",
      "66/66 [==============================] - 261s 4s/step - loss: 2.3059 - accuracy: 0.7046 - val_loss: 2.4458 - val_accuracy: 0.6868\n",
      "Epoch 10/20\n",
      "66/66 [==============================] - 254s 4s/step - loss: 2.6554 - accuracy: 0.7156 - val_loss: 1.9173 - val_accuracy: 0.7962\n",
      "Epoch 11/20\n",
      "66/66 [==============================] - 248s 4s/step - loss: 3.0313 - accuracy: 0.6796 - val_loss: 2.1199 - val_accuracy: 0.7775\n",
      "Epoch 12/20\n",
      "66/66 [==============================] - 258s 4s/step - loss: 3.0398 - accuracy: 0.6906 - val_loss: 3.3087 - val_accuracy: 0.7094\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.src.callbacks.History at 0x15fab7790>"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from tensorflow.keras.callbacks import EarlyStopping\n",
    "\n",
    "callback = EarlyStopping(monitor='loss', patience=3)\n",
    "model_ResNet50.fit(train_gen, validation_data= test_gen,epochs=20,callbacks=[callback])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/lakshmikeerthanaaravapalli/.pyenv/versions/3.9.2/lib/python3.9/site-packages/keras/src/engine/training.py:3103: UserWarning: You are saving your model as an HDF5 file via `model.save()`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')`.\n",
      "  saving_api.save_model(\n"
     ]
    }
   ],
   "source": [
    "model_ResNet50.save('Trafffic_sign_prediction-resnet50.h5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "66/66 [==============================] - 85s 1s/step\n"
     ]
    }
   ],
   "source": [
    "test_gen.reset()\n",
    "raw_predictions_ResNet50 = model_ResNet50.predict(test_gen)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "predictions_ResNet50 = []\n",
    "for item in raw_predictions_ResNet50:\n",
    "    predictions_ResNet50.append(np.argmax(item))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.98      0.98      0.98        59\n",
      "           1       0.91      1.00      0.95        20\n",
      "           2       0.81      1.00      0.90        35\n",
      "           3       1.00      0.88      0.94        69\n",
      "           4       1.00      0.75      0.86        48\n",
      "           5       0.00      0.00      0.00        18\n",
      "           6       1.00      0.44      0.61        64\n",
      "           7       1.00      0.82      0.90        11\n",
      "           8       1.00      0.75      0.85        71\n",
      "           9       0.91      0.98      0.95        65\n",
      "          10       0.06      1.00      0.12         4\n",
      "          11       0.40      1.00      0.57         2\n",
      "          12       1.00      0.38      0.55        40\n",
      "          13       1.00      0.56      0.71         9\n",
      "          14       0.00      0.00      0.00         6\n",
      "          15       0.00      0.00      0.00         9\n",
      "          16       1.00      0.57      0.73         7\n",
      "          17       0.96      0.88      0.92        50\n",
      "          18       0.00      0.00      0.00         1\n",
      "          19       0.97      0.97      0.97        63\n",
      "          20       1.00      0.64      0.78        14\n",
      "          21       0.57      1.00      0.73       223\n",
      "          22       1.00      0.27      0.43        22\n",
      "          23       0.90      0.88      0.89       130\n",
      "          24       1.00      0.35      0.51        75\n",
      "          25       1.00      0.10      0.17        21\n",
      "          26       0.88      1.00      0.93         7\n",
      "          27       0.00      0.00      0.00         2\n",
      "          28       0.00      0.00      0.00        13\n",
      "          29       1.00      0.03      0.05        78\n",
      "          30       0.74      0.85      0.79        20\n",
      "          31       0.91      0.72      0.81        29\n",
      "          32       0.62      0.33      0.43        15\n",
      "          33       0.83      0.59      0.69        17\n",
      "          34       1.00      0.10      0.19        49\n",
      "          35       1.00      0.06      0.12        16\n",
      "          36       1.00      0.22      0.36         9\n",
      "          37       0.00      0.00      0.00        16\n",
      "          38       0.26      0.85      0.40        41\n",
      "          39       0.38      0.20      0.26        15\n",
      "          40       0.69      0.75      0.72        12\n",
      "          41       0.00      0.00      0.00         9\n",
      "          42       1.00      0.33      0.50         6\n",
      "          43       0.00      0.00      0.00         5\n",
      "          44       1.00      0.43      0.60        21\n",
      "          45       0.43      0.97      0.59        97\n",
      "          46       1.00      0.54      0.70        28\n",
      "          47       1.00      0.50      0.67         4\n",
      "          48       1.00      0.44      0.62        18\n",
      "          49       1.00      1.00      1.00         1\n",
      "          50       1.00      0.83      0.91       162\n",
      "          51       0.60      1.00      0.75        81\n",
      "          52       0.70      1.00      0.82        55\n",
      "          53       0.75      1.00      0.86         3\n",
      "          54       0.74      0.95      0.83        39\n",
      "          55       1.00      0.49      0.65        76\n",
      "          56       1.00      1.00      1.00         4\n",
      "          57       0.00      0.00      0.00         1\n",
      "\n",
      "    accuracy                           0.71      2085\n",
      "   macro avg       0.71      0.56      0.56      2085\n",
      "weighted avg       0.81      0.71      0.68      2085\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/lakshmikeerthanaaravapalli/.pyenv/versions/3.9.2/lib/python3.9/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
      "/Users/lakshmikeerthanaaravapalli/.pyenv/versions/3.9.2/lib/python3.9/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n",
      "/Users/lakshmikeerthanaaravapalli/.pyenv/versions/3.9.2/lib/python3.9/site-packages/sklearn/metrics/_classification.py:1509: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(test_gen.labels, predictions_ResNet50))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "cm_ResNet50 = confusion_matrix(test_gen.labels, predictions_ResNet50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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krAW9f05psbj45DPP3rVQeGerXqOmMXHWEod9tcPqGuM/+izXi4tRz3U0RsaMsV9OsViNRhERxsy42U4ffBUzJWXVvb+krOyvd39JWQt6/5wsFN7ZXLm46Cn9JR0r9mf/gpJV9/6SsrK/3v0lZWV/vftLylrQ++eUW/8sOiEhAZMmTUKHDh3QoEEDNGjQAB06dMDkyZNx+fJllz3OxXOnMbBHawx5OQpzJo9C4qUL9usqVq2OXT9uwo3rV2Gz2bDzfxtxKz0dwdXr5OoxbqWn49DBAwhv0NC+z2w2Izy8IeL3/eZUbhUzJWXVvb+krOyvd39JWXXvr4qk/lKysr/e/SVl1b2/pKzsr3d/SVnZX+/+krLq3j8jty0u7tq1C0FBQZgxYwZ8fX3RpEkTNGnSBL6+vpgxYwaqVKmC3bt3ZzvHYrHg2rVrDlt6usV+fYXgELw0YCQGjJmG7q8PRsLF85gwpC/SUlMAAK8NGQ/r7dt464Vn0LdDYyz6eAL6DZ+Ih0s9lqs+yVeSYbVa4e/v77Df398fCQkJuZqlcqakrLr3l5SV/fXuLymr7v1VkdRfSlb217u/pKy695eUlf317i8pK/vr3V9SVt37Z1QozxOc9Oabb6JTp06YNWsWTCaTw3WGYaBv37548803sX379iznxMbGYsyYMQ77er0xGC/1HwoAqF73/1ZlHytfGRWCQzD4pfbY/dNmNH66LVYvno3UlOt4572PUMKnJPbu+B9mTRyOoRNnoXS5Si5qS0REREREREREVPC4bXFx3759WLBgwV0LiwBgMpkwYMAA1K5dO9s50dHRGDhwoMO+3adTM739/cVL4OFHy+DSuTO4dP4Mtqz9EmM/XopHy1YAADxWoTKOHvgdW9Z+hR5vDMlxH7+SfvDy8kJiYqLD/sTERAQEBOR4juqZkrLq3l9SVvbXu7+krLr3V0VSfylZ2V/v/pKy6t5fUlb217u/pKzsr3d/SVl175+R2/4s+pFHHsGvv/6a6fW//vorHn744WzneHt7w8fHx2ErUsQ709vfTEvFpfNn4fuAP9ItNwEAJrPjAqfZ7AXDsOWwyT8KFymCqtVCsHPH/51pabPZsHPndtSomf0iaX7NlJRV9/6SsrK/3v0lZdW9vyqS+kvJyv5695eUVff+krKyv979JWVlf737S8qqe/+M3Hbm4rvvvotXX30Ve/bswZNPPmlfSLx48SI2b96MTz/9FFOmTMnz46yYNwO16kfA/6FHcCUpAf9d8inMZjMeb/o07itWAg8FlsbnMyei80tvoriPL37b/j8c/P1X9B81NdeP1b1nL4wcNgQhIaEIrV4DixctRFpaGtp3iHI6v4qZkrLq3l9SVvbXu7+krLr3T01NwalTp+yXz549g8OHD8HX1xeBgaU8Kqvux4r99e4vKavu/SVlZX+9+0vKyv5695eUVff+d7htcbFfv34ICAjAtGnTEBcXB6vVCgDw8vJCWFgYFixYgM6dO+f5cZITLmH25FFIuXYVJXxLolK1mhg+dS5K+PoBAN4e/QG+XBiHj8a9i5tpaXgosDReGjAKNeo1zGby3VpGtkJyUhLiZs5AQsJlBFepirjZc+Gfh1NMVcyUlFX3/pKysr/e/SVl1b3/gf370fulHvbLUyfFAgDatOuAceMneFRW3Y8V++vdX1JW3ftLysr+eveXlJX99e4vKavu/e8wGYZh5HlKHt26dcv+7TQBAQEoXLhwnub9dDTZFbHuUre8n5K5RERErqLqp/o9PiKZiIiIiIgKsKI5PCXRbWcuZlS4cGEEBga6OwYRERERERERERHlgtu+0IWIiIiIiIiIiIhk4+IiEREREREREREROYWLi0REREREREREROQULi4SERERERERERGRUzzi26Jd7eZtNXOTU9JdPtOvWBGXzyQiIiIiIiIiIsqLnH5bNM9cJCIiIiIiIiIiIqdwcZGIiIiIiIiIiIicwsVFIiIiIiIiIiIicgoXF4mIiIiIiIiIiMgp2i4uLl+6BJEtnkC92tXRrUsn/BEfn6v7L1kwF316dkFks8fR/pmmGP5uf5w6ecLhNhaLBdMnvYe2T0WgZdP6GDVkAJISE/I9a37OlTJT1Vzds7K/3v1VzZUyU9VcKTNVzdU9K/vr3V/VXCkzVc3VPSv7691f1VwpM1XNlTJT1Vzds+reHwBgFEBpt7LeVq/51ggJCTGWrfzS2H/oqBE9bIQRVreuceZCQpb3O3fFYt+69ehlzFu8wvh5zwHjh1/jjR69XjYaN2lq/HU+2X6bd4eOMCIaNzHWbvzB2Lp9r9E+qqMR1bGzwxxVWd0xV8pMZpUzU1JW3ftLysr+eveXlJX99e4vKavu/SVlZX+9+0vKyv5695eUtaD3zyktFxejnutojIwZY7+cYrEajSIijJlxs7O8X8ZFwX9vB0+cN4KCgoz1W342zl2xGH+eSTCqVatmLP3qG/tttv9+yAgKCjI2/vhrjhcXnc3qjrlSZjKrnJmSsureX1JW9te7v6Ss7K93f0lZde8vKSv7691fUlb217u/pKwFvX9Oafdn0bfS03Ho4AGEN2ho32c2mxEe3hDx+35zeu6NGzcAACV8fQEAfx46iNu3byOsfrj9NmXLVcDDjwTi4B/73JpVxVwpM5lVzkxJWXXvLykr++vdX1JW9te7v6SsuveXlJX99e4vKSv7691fUlbd+2ek3eJi8pVkWK1W+Pv7O+z39/dHQkLuPw8RAGw2G2Z+MBGhNWujQsXKAICkxAQULlwYJUr4ONzW7wH/HH/uooqsquZKmcmscmZKyqp7f0lZ2V/v/pKysr/e/SVl1b2/pKzsr3d/SVnZX+/+krLq3j8jj15cPH36NF566aUsb2OxWHDt2jWHzWKx5FPCf0yfNB4njh/DqPcm5evjEhERERERERERuZNHLy4mJSVh4cKFWd4mNjYWvr6+DtvkibGZ3t6vpB+8vLyQmJjosD8xMREBAQG5zjh98nhs/+l/mB43Dw89/Ih9/wP+Abh16xauX7/mcPvkpEQ84J+zx3F1VpVzpcxkVjkzJWXVvb+krOyvd39JWdlf7/6SsureX1JW9te7v6Ss7K93f0lZde+fkVsXF9esWZPltnXr1mxnREdH4+rVqw7boCHRmd6+cJEiqFotBDt3bLfvs9ls2LlzO2rUrJ3j7IZhYPrk8fhp2xZMi5uHwEdLO1wfVLUaChUqhL27dtr3nTp5AhcvnEe16jVz9Biuypofc6XMZFY5MyVl1b2/pKzsr3d/SVnZX+/+krLq3l9SVvbXu7+krOyvd39JWXXvn1GhPE/Ig/bt28NkMsEwjExvYzKZspzh7e0Nb29vh303b2f9uN179sLIYUMQEhKK0Oo1sHjRQqSlpaF9h6gcZ58+aTw2fbcO46d8iPvuL4bE//836sWLF4d30aIoXrwEWrWNQtz0yfDx8cX9xYphxpRYhFSviZAcLi66Kmt+zZUyk1nlzJSUVff+krKyv979JWVlf737S8qqe39JWdlf7/6SsrK/3v0lZdW9/x1uXVwMDAxEXFwc2rVrd8/rf//9d4SFhbn8cVtGtkJyUhLiZs5AQsJlBFepirjZc+Gfi1NB//vVCgDA230dPxNyyKhxiGzdHgDQb8BgmM0mjBo6ALfSb6FeeEO8PXhEvmfNr7lSZjKrnJmSsureX1JW9te7v6Ss7K93f0lZde8vKSv7691fUlb217u/pKy697/DZGR12qBibdu2Ra1atTB27Nh7Xr9v3z7Url0bNpstV3OzO3PRWckp6S6f6VesiMtnEhERERERERER5UXRHJ6S6NYzFwcNGoSUlJRMr69UqVKOPneRiIiIiIiIiIiI8p9bz1xUhWcuEhEREREREREROS+nZy669duiiYiIiIiIiIiISC4uLhIREREREREREZFTuLhIRERERERERERETuFnLrrZyYRUl88sG3C/y2cSEREREREREZE++JmLREREREREREREpBQXF4mIiIiIiIiIiMgpXFwkIiIiIiIiIiIip3BxkYiIiIiIiIiIiJyi7eLi8qVLENniCdSrXR3dunTCH/Hxbp+77uuVeLNXZzwfGYHnIyMw6LUe2LPjJ/v1w956BW2b1nbY4qa+55as0meqmqt7VvbXu7+quVJmqporZaaqubpnZX+9+6uaK2Wmqrm6Z2V/vfurmitlpqq5Umaqmqt7Vt37AwCMAijtVtbb6jXfGiEhIcaylV8a+w8dNaKHjTDC6tY1zlxIyPa+rp57+HyKffv8y3XG4tUbjC27Dhqbfz1oDB870ahWrZrx/S/xxuHzKUZU5xeMNwYONbbvP2nf9h676DDj8PkUZVkLykxmlTNTUlbd+0vKyv5695eUlf317i8pq+79JWVlf737S8rK/nr3l5S1oPfPKS0XF6Oe62iMjBljv5xisRqNIiKMmXGz83TwnZn774XBf291wuoaM+Yuti8uvjNsdLb3UZW1oMxkVjkzJWXVvb+krOyvd39JWdlf7/6SsureX1JW9te7v6Ss7K93f0lZC3r/nNLuz6Jvpafj0MEDCG/Q0L7PbDYjPLwh4vf95jFzrVYrfti8ATdvpqFKSA37/v9tXIdubZvjjRc7YuGcGbDcTHN7VkkzmVXOTElZde8vKSv7691fUlb217u/pKy695eUlf317i8pK/vr3V9SVt37Z6Td4mLylWRYrVb4+/s77Pf390dCQoLb5/7911F0btkQz7V4HJ98MB7D3puKMuUqAgCaPBmJgSPGY/y0OejY7SVs+/5bTH1vhNuySpzJrHJmSsqqe39JWdlf7/6SsrK/3v0lZdW9v6Ss7K93f0lZ2V/v/pKy6t4/o0J5npBHaWlp2LNnDx544AFUq1bN4bqbN29i5cqV6NGjR6b3t1gssFgsDvsML294e3sryavao2XKYfrc5UhNuYGf/7cJ098fhfdnzEWZchXRsu1z9tuVq1gZfv4BGDmgD86fPY3ARx9zY2oiIiIiIiIiItKRW89c/PPPP1G1alU0adIE1atXR9OmTXH+/Hn79VevXkWvXr2ynBEbGwtfX1+HbfLE2Exv71fSD15eXkhMTHTYn5iYiICAAKe7uGpu4cKFUap0GVQKroaer/ZH+UpB+ObLZfe8bXDV6gCA82dPuyWrxJnMKmempKy695eUlf317i8pK/vr3V9SVt37S8rK/nr3l5SV/fXuLymr7v0zcuvi4pAhQxAaGopLly7hyJEjKFGiBBo1aoRTp07leEZ0dDSuXr3qsA0aEp3p7QsXKYKq1UKwc8d2+z6bzYadO7ejRs3aTndRNddmM3DrVvo9rzt+7AgAwM8/dy8EFVmlzGRWOTMlZdW9v6Ss7K93f0lZ2V/v/pKy6t5fUlb217u/pKzsr3d/SVl175+RW/8s+pdffsGmTZsQEBCAgIAAfPPNN3j99dfRuHFjbN26FcWKFct2hrf33X8CffN21vfp3rMXRg4bgpCQUIRWr4HFixYiLS0N7TtE5aVOnucunDMDYY83woMPBSItNQX/27we+3/fjdGT43D+7Gn8b9N61A2PQAmfkvj7+J+YN3MqQmrWQfmKQfmeVfJMZpUzU1JW3ftLysr+eveXlJX99e4vKavu/SVlZX+9+0vKyv5695eUVff+d7h1cTEtLQ2FCv1fBJPJhE8++QRvvPEGmjZtiqVLlyp53JaRrZCclIS4mTOQkHAZwVWqIm72XPjn8VTQvM69mpyE6e+PRFJiAooVK45yFStj9OQ41K4XjsuXLmDfnp345suluHkzDQEPPowGTZ7E8z1ecUtWyTOZVc5MSVl17y8pK/vr3V9SVvbXu7+krLr3l5SV/fXuLykr++vdX1JW3fvfYTIMw8jzFCfVr18fb775Jrp3737XdW+88QaWLFmCa9euwWq15mpudmcuepKTCakun1k24H6XzyQiIiIiIiIiIn0UzeEpiW79zMUOHTpg2bJ7f1nJzJkz8cILL8CNa59ERERERERERESUBbeeuagKz1zkmYtEREREREREROQ8EWcuEhERERERERERkVxcXCQiIiIiIiIiIiKncHGRiIiIiIiIiIiInMLPXCyAtv+VqGRug4r+SuaSDDab6/+pMJtNLp9JpDuboh/rZpPr/3tVEVVBTCIiIhEkvQcgIhn4mYtERERERERERESkFBcXiYiIiIiIiIiIyClcXCQiIiIiIiIiIiKncHGRiIiIiIiIiIiInMLFRSIiIiIiIiIiInKKtouLy5cuQWSLJ1CvdnV069IJf8THe+zcvM5MTryM+VNH451uLfFmx2YY++Z/cPLoIfv1v/2yDR+OegvvdGuJvm0b4vTxP92WNb9mqpqra9aVK5ahc1RbRISHISI8DD26PY+ffvwhzxlVZJU2U9Vc3bPq3H/ep7PR7fmOaFS/Dp5o0hAD+vfD3yeO5zmniqx7du9C/3590aJ5BGqFBmPL5k0uyQnIOFaqZqqaK2Wmqrm6Z9W9v6q5Umaqmitlpqq5Or8HUDVT1VwpM1XN1T2r7v0BTRcXN6xfhymTYtHn9X5Y/sVqBAdXwWt9XkZiYqLHzc3rzJQb1zB5SB94FSqEN2I+QMzMpej40pu4v3gJ+20sljRUqlYTHXq+7nROV2TNr5nM6vqZDz/8MN58+x0sWfEVliz/EvUfD8eA/v3w17GjTmdUlVXSTGaVM1NS1r27d+H5F7ri86Ur8Mmc+bh96zZee/UVpKWmOj1TVda0tFQEBQcjenhMnrL9m5RjpftrVff+krLq3l9SVvbXu7+k9wC6Hyvd+0vKqnt/O6MASruV9Rb1XEdjZMwY++UUi9VoFBFhzIybne1983uuMzO3HE6wb29GjzVate/ksC+zbeX//jCCgoKMhet+uef1UvpLOlaSsqZYbLna6tatZyxetjLL20jqr/vxL0hZC3r/lHRbrrbTFxKMoKAg44dfdmZ5OxVZU9NzvgUFBRlr12/M9naSjpXur1X2LzhZde8vKSv7F+z+kt4D6H6s2L/gZC3o/XNKuzMXb6Wn49DBAwhv0NC+z2w2Izy8IeL3/eZRc10xc9+vP6FMpSqYM2E4BnVvhfFv9cSP3/3XqTyqs+bHTGZVl/UOq9WKDeu/RVpaKmrUrJWnWVL68/jLyap7/3u5ceM6AMDX19fpGfmV1RWkHCvdX6u695eUVff+krKyv97978VT3wPofqx07y8pq+79M3L74uKhQ4fw2Wef4fDhwwCAw4cP47XXXsNLL72ELVu2ZHt/i8WCa9euOWwWiyXT2ydfSYbVaoW/v7/Dfn9/fyQkJDjdQ8VcV8xMuHAOP6xfjYdKPYY3R09Dk8gOWPnpNGzfvM6pTCqz5sdMZlWX9eifR9Cwfh08HlYD48eNxtTpM1GxYiWn56nKKmUms8qZKS1rRjabDVMmvI9ateugUuUgp+fkR1ZXkXKsdH+t6t5fUlbd+0vKyv569/83T34PoPux0r2/pKy698/IrYuLGzZsQK1atfDuu++idu3a2LBhA5o0aYJjx47h5MmTePrpp7NdYIyNjYWvr6/DNnlibD418HyGYUOZikFo36MvylQMRuOW7RHxdFv8sGG1u6NRAVOufHks/3I1Pl+yAp06d8GoEUPx11/H3B2LiLIQ+95YHDt2FBMmf+DuKERERJSP+B6AiFzJrYuLY8eOxaBBg5CYmIjPPvsMXbt2Re/evbFx40Zs3rwZgwYNwoQJE7KcER0djatXrzpsg4ZEZ3p7v5J+8PLyuusDKxMTExEQEOB0FxVzXTHT188fgY+Vd9j3SOlySLp80alMmfHU/syaf1kLFy6CMmXKolpIKPq//Q6Cgqpg2eLPnZ6nKquUmcwqZ6a0rHdMGD8WP/5vGz6d/zkefuSRPM1SndWVpBwr3V+ruveXlFX3/pKysr/e/TPy9PcAuh8r3ftLyqp7/4zcurh44MABvPjiiwCAzp074/r16+jYsaP9+m7duiE+m6/F9vb2ho+Pj8Pm7e2d6e0LFymCqtVCsHPHdvs+m82GnTu3o0bN2k53UTHXFTMrVq2Bi2dPOey7eO40/B/K2w8RFVnzYyazqsv6b4ZhQ3p6ep5mSOnP4y8nq+79AcAwDEwYPxZbNm/C7PkL8Gjp0k7PUp1VBSnHSvfXqu79JWXVvb+krOyvd39AznsA3Y+V7v0lZdW9f0aF8jwhj0wmE4B/PkiyaNGiDh8mW6JECVy9etXlj9m9Zy+MHDYEISGhCK1eA4sXLURaWhrad4jyuLl5nflku+cxaXAfrF+5EGERT+Lvowfx03f/Rbd+Q+y3Sbl+DUmXL+BK0j9/Z39nMdLHzx++fv73nKsia37NZFbXz5wxfSoaRTRBYGAgUlJSsH7dWuze9SviZs11OqOqrJJmMqucmZKyxr43FuvXrcW0GR+jWLFiSEi4DAAoXrwEihYt6lFZU1NTcOrU//0fZGfPnsHhw4fg6+uLwMBSHpVVykxJWXXvLymr7v0lZWV/vftLeg+g+7HSvb+krLr3v8Oti4vlypXD0aNHUbFiRQDA9u3bUaZMGfv1p06dQmBgoMsft2VkKyQnJSFu5gwkJFxGcJWqiJs9F/55PBVUxdy8zixXuRr6DpuArz//BN+u+AwBDwei0ytv4fFmz9hvs+/XH/H5h+Ptl+dOHgUAeLbLS2jT9ZV8y5pfM5nV9TOTkpIwcvgQJFy+jOIlSqBy5WDEzZqL8IaNnM6oKqukmcwqZ6akrF+sWAYA6N2rh8P+Me+9j7btnX9joSLrgf370ful/8s5ddI/n6ncpl0HjBuf9cem5HdWKTMlZdW9v6SsuveXlJX99e4v6T2A7sdK9/6Ssure/w6TYRhGnqc4adasWXjsscfw7LPP3vP6YcOG4dKlS5g7N3dnP9287Yp0cm3/KzH7GzmhQcWcn8VIBY/N5vp/Ksxmk8tnEunOpujHutnk+v9eVURVEJOIiEgESe8BiEiGojk8JdGti4uqcHGRi4vkelxcJJJB0i8WXFwkIiJyHUnvAYhIhpwuLrr1C12IiIiIiIiIiIhILi4uEhERERERERERkVO4uEhERERERERERERO4eIiEREREREREREROYVf6OJmkj7M/u/LqS6fWe7B+10+k9TgF7oQEREREXkuyy2bkrnehXlOEpGu+IUuREREREREREREpBQXF4mIiIiIiIiIiMgpXFwkIiIiIiIiIiIip3BxkYiIiIiIiIiIiJyi7eLi8qVLENniCdSrXR3dunTCH/HxHjl3z+5d6N+vL1o0j0Ct0GBs2bzJJTmBvGVd/9+V6P9SZ3RpFYEurSIw+PUe2LPzJ4fbHD6wDyMGvIrOLRugS6sIRPd/CRbLzXzNmd9zdc26csUydI5qi4jwMESEh6FHt+fx048/5DmjiqzSZqqaq3tW9te7v6q5Umaqmitlpqq5umfVvb+quVJmqporZaaqua6eabVaMevjD9Gu1VNo/HgtdGj9NObNiYMrvuNVQn+Vc6XMVDVX96y69wcAGAVQ2q2st9VrvjVCQkKMZSu/NPYfOmpEDxthhNWta5y5kJDtfV09NzU96+37zduMSVM+MNau+94ICgoy1q7fmO19VGU9dC7Fvi38cp2xaNUGY/OvB41NOw8aw8ZONKpVq2Z893O8cehcirF64y9Grdp1jHGTPzK++zne2LjjgPHpktVG/N/JDnMkHSvds6ZYbJlu677bZGzYuNU4+Odx4+CRv4yJk6ca1aqFGPEHjmR5P0n9dT/+BSkr++vdX1JW9te7v6SsuveXlJX9C3b/K6nWLLdpM+KMevXrG2s3bDYOHj1lfPXfdUatWrWM2XMXZHk/Kf0lHSv2LzhZC3r/nPK4xUWbzZbnGdk9oVHPdTRGxoyxX06xWI1GERHGzLjZeTr4zszNbqEw4+bKxUVnsmZcFLzXViesrjHj08XGoXMpRut2zxkjxk3K9j6SjpXuWbNaJLzXVrduPWPxspV5Xlz0lP66H/+ClJX99e4vKSv7691fUlbd+0vKyv4Fu392i4u9Xu5tvDN4qMO+Pq/1M/q//U6eFhc9pb+kY8X+BSdrQe+fUx73Z9He3t44dOiQsvm30tNx6OABhDdoaN9nNpsRHt4Q8ft+87i5Krg6q9VqxQ+bN+DmzTQEh9TAleQk/HnoD/j6PYDB/XqiR4cnMeytl3EwPnezJR0rZv0/VqsVG9Z/i7S0VNSoWStPs6T05/GXk5X99e4vKSv7691fUlbd+0vKyv569weAGjVrY/fOHTh58gQA4M8jh7Hvt71o2Kix0zMl9ZeSVff+krLq3j+jQnme4KSBAwfec7/VasWECRPg7+8PAPjggw+ynGOxWGCxWBz2GV7e8Pb2vuftk68kw2q12uff4e/vjxMnjuc0fr7NVcFVWf8+fhRDXu+J9PR03HfffYgeNxVlylXEkQP//M3+8gWz8eJrA1ChUjC2fLcWI9/pg48++wKlSpfN15z5MZdZgaN/HkHP/7yA9HQL7rv/fkydPhMVK1Zyep6qrFJmMqucmZKy6t5fUlb217u/pKy695eUlf317g8APV/qjZSUG+jc/lmYvbxgs1rx2htvo+WzbZyeKam/lKy695eUVff+GbltcXH69OmoWbMmSpYs6bDfMAwcOnQIxYoVg8lkynZObGwsxowZ47Bv+MgYjBg12oVp6V4efawcps9djpSUG/jlf5vwYewojP9wLmyGDQDwTJvn8FRkOwBAhcpVEL/3V2xa91/0eLW/O2OTIuXKl8fyL1fjxvXr2LTxO4waMRRzP1uU5wVGIiIiIiLKu03fr8eGdWsxLnYyKlSsjD+PHMIHk2MR8OBDaN22vbvjEZFgbltcfP/99zFnzhxMnToVTzzxhH1/4cKFsWDBAlSrVi1Hc6Kjo+86C9LwuvdZiwDgV9IPXl5eSExMdNifmJiIgICAXDTIn7kquCpr4cKFEVi6DACgUnA1HD18AGu/WobnuvYCADxWtoLD7UuXLY/Lly7ke878mMusQOHCRVCmzD9npVYLCcWB/fuxbPHnGBEz1umZUvrz+MvJyv5695eUlf317i8pq+79JWVlf737A8CMaVPQs9creLrlswCASpWDcP78OSycP8fpxUVJ/aVk1b2/pKy698/IbZ+5OHToUKxYsQKvvfYa3n33Xdy6dcupOd7e3vDx8XHYMvuTaAAoXKQIqlYLwc4d2+37bDYbdu7cjho1azuVQeVcFVRlNQwDt9LT8dAjpfBAwIM4e/pvh+vPnT6Jhx4OdHtOFXOZ9W6GYUN6enqeZkjpz+MvJyv7691fUlb217u/pKy695eUlf317g8AN2+mwWR2XALwMnvBZrM5PVNSfylZde8vKavu/TNy25mLAFCvXj3s2bMH/fr1Q926dbFkyZIc/Sl0XnXv2Qsjhw1BSEgoQqvXwOJFC5GWlob2HaI8bm5qagpOnTplv3z27BkcPnwIvr6+CAws5basn8+ZgbDHGyHgoUCkpaXgh03rsf/33Rg9OQ4mkwkdnu+JZQtmoVzFoP//mYvf4OypvzFkzOR8zZmfc3XOOmP6VDSKaILAwECkpKRg/bq12L3rV8TNmut0RlVZJc1kVjkzJWXVvb+krOyvd39JWXXvLykr++vdv3GT5lgwdzYeeSQQFSpWxpEjB7F08QK0aadHf0lZde8vKavu/e9w6+IiABQvXhwLFy7E8uXL8dRTT8FqtSp/zJaRrZCclIS4mTOQkHAZwVWqIm72XPjn8VRQFXMP7N+P3i/1sF+eOikWANCmXQeMGz/BbVmvXknC9PdHIikpAcWKFUfZCpUxenIcatUNBwC07dQN6ekWzPt4Km5cv4pyFYMwZsonCHz0sXzNmZ9zdc6alJSEkcOHIOHyZRQvUQKVKwcjbtZchDds5HRGVVklzWRWOTMlZdW9v6Ss7K93f0lZde8vKSv7693/3aEjMPvjDzEpdiySk5IQ8OBD6PBcZ7zS53WnZ6rKqvux0r2/pKy697/DZBiGkecpLnLmzBns2bMHTz31FIoVK+b0nJu3XRhKMRXPvqqTP/++nOrymeUevN/lM0kNm831L1azWf2ZykREREREOrDccv7Pm7PiXdhtn6ZGRG5WNIenJLr9zMWMSpcujdKlS7s7BhEREREREREREeUA/y8IIiIiIiIiIiIicgoXF4mIiIiIiIiIiMgpXFwkIiIiIiIiIiIip3BxkYiIiIiIiIiIiJziUd8W7SqSvi2a38BLUty2uv616qXotarqG9NJX6p+Uqp4rar4uQLwZwsREZGnsyl6w2Lmm2sxVLwEDChYs+BrSoycfls0z1wkIiIiIiIiIiIip3BxkYiIiIiIiIiIiJzCxUUiIiIiIiIiIiJyChcXiYiIiIiIiIiIyCnaLi4uX7oEkS2eQL3a1dGtSyf8ER/vcXNXrliGzlFtEREehojwMPTo9jx++vEHl+R0dVZpM1XN1TXr7LiPEFajisMW1TYyzxn37N6F/v36okXzCNQKDcaWzZvyPPMOT39OVc/VPaurZ0p6rar82SLhWKmcK2WmqrlSZqqaq3tW3furmitlpqq5UmaqmuvqmfM+nY1uz3dEo/p18ESThhjQvx/+PnE8zzlVZFU1U9VcCTNVvF9V+ZoCZDyvqmaqmqsqq5aLixvWr8OUSbHo83o/LP9iNYKDq+C1Pi8jMTHRo+Y+/PDDePPtd7BkxVdYsvxL1H88HAP698Nfx47mKaeKrJJmMquamRUrVsZ3W360b/MWLnV61h1paakICg5G9PCYPM/KSMpzyqxyZkp6rar62SLlWEnKyv5695eUVff+krKyv9799+7ehedf6IrPl67AJ3Pm4/at23jt1VeQlprq9ExVWXU/VlLer6p6TQFynlfdX6t2RgGUdivrLeq5jsbImDH2yykWq9EoIsKYGTc72/u6em6KxZarrW7desbiZSuzvI2qrAVlJrM6N/P6TVum25QPPjRat2mb5W3utaWmGznegoKCjLXrN+botlKeU0nHvyBldWampNdqbn+uuOpni6ccK0mvK/Zn/4KSVff+krKyf8Hun5Juy9V2+kKCERQUZPzwy84sbyelv6RjpWqmiver7nhNedrzqvNrNae0O3PxVno6Dh08gPAGDe37zGYzwsMbIn7fbx439w6r1YoN679FWloqatSsladZKrJKmcms6rKeOnkSzzzZGG0jn8Lwoe/i/PlzTs9SSdJzyqwyZqqSH1ld9bNF0rGSkpX99e4vKavu/SVlZX+9+9/LjRvXAQC+vr5Oz5DUX0pWSe9X/80VrylAzvOq+2s1I+0WF5OvJMNqtcLf399hv7+/PxISEjxu7tE/j6Bh/Tp4PKwGxo8bjanTZ6JixUpOz1OVVcpMZlUzM7R6TYx+LxYzP5mLoSNicO7sGbzy4n+QknLDqXkqSXlOmVXOTFVUZnX1zxZJx0pKVvbXu7+krLr3l5SV/fXu/282mw1TJryPWrXroFLlIKfnSOovJauk96sZueo1Bch5XnV/rWZUKM8TXCglJQUrV67EsWPHEBgYiBdeeOGu4v9msVhgsVgc9hle3vD29lYZNd+UK18ey79cjRvXr2PTxu8wasRQzP1sUZ4XGIlcqVHjJvb/XTkoGNWr18SzLZ/Axu82oH1URzcmI6J74c8WIiIivcW+NxbHjh3FZ5/n/XPSiQC+pnTn1jMXq1WrhqSkJADA6dOnERoaigEDBmDjxo2IiYlBtWrVcOLEiSxnxMbGwtfX12GbPDE209v7lfSDl5fXXR9YmZiYiICAAKe7qJpbuHARlClTFtVCQtH/7XcQFFQFyxZ/7vQ8VVmlzGRWdVkzKuHjg7Jly+H06ZMumedKkp5TZpUxUxWVWV39s0XSsZKSlf317i8pq+79JWVlf737ZzRh/Fj8+L9t+HT+53j4kUfyNEtSfylZJb1fvcOVrylAzvOq+2s1I7cuLh4+fBi3b98GAERHR6NUqVI4efIkfv31V5w8eRI1atTA8OHDs5wRHR2Nq1evOmyDhkRnevvCRYqgarUQ7Nyx3b7PZrNh587tqFGzttNdVM39N8OwIT09PU8zVGSVMpNZ8+e1mpqagjOnTyMg4EGXzHMlSc8ps8qYqUp+Zs3rzxZJx0pKVvbXu7+krLr3l5SV/fXuDwCGYWDC+LHYsnkTZs9fgEdLl3Z6lsqsuh8rSe9XVbymADnPq+6v1Yw85s+it2/fjlmzZtk/+LN48eIYM2YMunTpkuX9vL3v/hPom7ezfqzuPXth5LAhCAkJRWj1Gli8aCHS0tLQvkNUnjq4eu6M6VPRKKIJAgMDkZKSgvXr1mL3rl8RN2tunnKqyCppJrO6fua0KRPRpFlzBAaWwuXLlzA7bibMXma0jGztdEbgn0XKU6dO2S+fPXsGhw8fgq+vLwIDSzk9V8JzyqyyZkp6rar62SLlWEnKyv5695eUVff+krKyv979Y98bi/Xr1mLajI9RrFgxJCRcBgAUL14CRYsW9aisuh8rKe9XVb2mADnPq+6v1TvcvrhoMpkAADdv3kRgYKDDdY8++iguX77s8sdsGdkKyUlJiJs5AwkJlxFcpSriZs+Ffx5PBXX13KSkJIwcPgQJly+jeIkSqFw5GHGz5iK8YaM85VSRVdJMZnX9zEuXLmLYkHdw9coV+Pk9gFp1wrBg8Qr4PfCA0xkB4MD+/ej9Ug/75amT/vnIgzbtOmDc+AlOz5XwnDKrrJmSXquqfrZIOVaSsrK/3v0lZdW9v6Ss7K93/y9WLAMA9O7Vw2H/mPfeR9v2zi8uSOkvKauU96uqXlOAnOdV99fqHSbDMIw8T3GS2WxGaGgoChUqhKNHj2LBggV47rnn7Nf/8MMP6Nq1K86cOZOrudmduehJbDbXP/1ms8nlM4luW13/WvVS9Fo18T8BcjFVPylVvFZV/FwB+LOFiIjI09kUvWEx8821GCpeAgYUrFnwNSVG0RyekujWMxdjYmIcLhcvXtzh8jfffIPGjRvnZyQiIiIiIiIiIiLKIbeeuagKz1zk/wtArsczF0lnPHORP1uIiIg8Hc9cJJ65SK6W0zMX3fpt0URERERERERERCQXFxeJiIiIiIiIiIjIKVxcJCIiIiIiIiIiIqe49QtdVJH0KZL8DCs1zl+56fKZgSWLunym7vhRGySFpNcqf64QERHp6eJVi5K5/D1IDiXvWQ2+t6Ts8cxFIiIiIiIiIiIicgoXF4mIiIiIiIiIiMgpXFwkIiIiIiIiIiIip3BxkYiIiIiIiIiIiJyi5eLint270L9fX7RoHoFaocHYsnmTR868Y/nSJYhs8QTq1a6Obl064Y/4eI+d62kzl38+D2++3BUdnmqA559thjFD38bpk3873CYpMQGTxg7DC22eQLsnH0e/Xs/jp63OHT9dj9XsuI8QVqOKwxbVNjLPGVVklTZT1Vzds7K/3v1VzZUyU9VcKTNVzdU9q+79Vc2VMlPVXCkzVc3V/fcgXY5Vfs5UMVfaWoiUmarmqsqq5eJiWloqgoKDET08xqNnAsCG9eswZVIs+rzeD8u/WI3g4Cp4rc/LSExM9Li5njjzj993o03U85g2ZxFip8/G7du3MXxAX9xMS7XfZsq44Thz6m+MnvghZn3+FRo1fRLvjxqEY38eytes+TlXxcyKFSvjuy0/2rd5C5c6PUt1VikzmVXOTElZde8vKSv7691fUlbd+0vKyv769Jf+e5BOxyq/ZqqaK2ktRMpMaVkBAEYBlJqe8y0oKMhYu35jru7jyplpt7Leop7raIyMGWO/nGKxGo0iIoyZcbOzvW9+z/Wkmccvp91z2/vnWSMoKMj478af7Ptq1KxpzFm00uF2YXXrGR/PW+KwT/djdf2mLdNtygcfGq3btM3yNvfaJPXX/fgXpKzsr3d/SVnZX+/+krLq3l9SVvYv2P0z+x1I4u9BBf1YSeqvYi2kID2vnnSsVMzMKS3PXJTiVno6Dh08gPAGDe37zGYzwsMbIn7fbx41V8rM1JQbAIASPj72fdVCa+KHzd/h+rWrsNls2LZpPdLTLahZp65bs6qaqyrrqZMn8cyTjdE28ikMH/ouzp8/5/QslVmlzGRWOTMlZdW9v6Ss7K93f0lZde8vKSv7691f0u9Buh8rSf1VkfK8SjpWqo8/Fxc9WPKVZFitVvj7+zvs9/f3R0JCgkfNlTDTZrNh1oeTUK1GLZSrUNm+f9i4ybh9+zY6RTZBm2b1MGPSexj1/jSUKl3GbVlVzlUxM7R6TYx+LxYzP5mLoSNicO7sGbzy4n+Q8v/fxDhLSn/dj7+krOyvd39JWdlf7/6SsureX1JW9te3v7Tfg3Q+VqpmqpyrgpTnVdKxUn383bq4uHfvXpw4ccJ+edGiRWjUqBEee+wxREREYPny5dnOsFgsuHbtmsNmsVhUxiahPp76Pv4+/heix0xy2P/5px8j5cZ1xH44Bx/NW4qoLt3x/qjBOPHXUTclladR4yZo8XRLVA4KRsNGjTHj4zm4fv0aNn63wd3RiIiIiIi0xt+DiEg1ty4u9urVC3/99RcAYO7cuejTpw/q1q2L4cOHo169eujduzfmz5+f5YzY2Fj4+vo6bJMnxuZHfOX8SvrBy8vrrg/XTExMREBAgEfN9fSZH099Hzt/+QGTPvoUDz70sH3/uTOnsear5RgQPQa16z6OCpWD8Z+X+qJylWr45qvsF7dVZFU9V1XWjEr4+KBs2XI4ffpknuZI6c/jLycr++vdX1JW9te7v6SsuveXlJX99ewv8fcgXY+Vypkq56og5XmVdKxUH3+3Li4ePXoUlSv/c1p2XFwcPvzwQ3z44Yfo27cvpk2bhtmzZ2Pq1KlZzoiOjsbVq1cdtkFDovMjvnKFixRB1Woh2Llju32fzWbDzp3bUaNmbY+a66kzDcPAx1Pfxy8/bMHEGZ/ikVKlHa63WG4C+OezBjIym80wDCNfs+bXXFVZM0pNTcGZ06cREPBgnuZI6c/jLycr++vdX1JW9te7v6SsuveXlJX99eov+fcg3Y5VfsxUOVcFKc+rpGOl+vgXyvOEPLj//vuRkJCAsmXL4uzZs6hfv77D9Y8//rjDn03fi7e3N7y9vR32pd3K+nFTU1Nw6tQp++WzZ8/g8OFD8PX1RWBgqdyVUDgTALr37IWRw4YgJCQUodVrYPGihUhLS0P7DlFOz1Q11xNnfjz1fWzduB4xE6bjvvuLISnxn88SKFa8OLy9i+KxsuVQqnQZzJg0Dr3fGIgSPiWx/cct+G3XDoyZ9FG+Zs3Pua6eOW3KRDRp1hyBgaVw+fIlzI6bCbOXGS0jWzudUVVWSTOZVc5MSVl17y8pK/vr3V9SVt37S8rK/vr0l/57kE7HKr9mqporaS1EykxpWQE3Ly5GRkbik08+wdy5c9G0aVN8+eWXqFmzpv36lStXolKlSi5/3AP796P3Sz3sl6dO+ufPqNu064Bx4yd4zEwAaBnZCslJSYibOQMJCZcRXKUq4mbPhX8eT1tVMdcTZ65dvRIAMPiNlx32Dxw2Fk8/2w6FChXGuCkzMf+TDxEzuD/S0lJRqnQZvDNiHOo3bJyvWfNzrqtnXrp0EcOGvIOrV67Az+8B1KoThgWLV8DvgQeczqgqq6SZzCpnpqSsuveXlJX99e4vKavu/SVlZX99+kv/PUinY5VfM1XNlbQWImWmtKwAYDJyc86zi507dw6NGjVCmTJlULduXXzyyScICwtD1apVceTIEezYsQOrV69Gq1atcjU3uzMXPYnJ5O4EBdP5KzddPjOwZFGXz5TkttX1/1QU8uJ/AERERERErqDidyCAvwfpTsWKEddB5Ciaw1MS3fqZi6VKlcJvv/2GBg0aYMOGDTAMA7/++iu+//57lC5dGj///HOuFxaJiIiIiIiIiIgof7j1zEVVeOYi8cxF1+OZi0REREREnotnLpIKPHNRbyLOXCQiIiIiIiIiIiK5uLhIRERERERERERETuHiIhERERERERERETmlQH7m4s3b7k5ABdHNW1aXzyxa2MvlM4lIb6p+qvOzcYiIiIjIk/HzIV2Pn7lIRERERERERERESnFxkYiIiIiIiIiIiJzCxUUiIiIiIiIiIiJyChcXiYiIiIiIiIiIyClcXCQiIiIiIiIiIiKnaLu4uHzpEkS2eAL1aldHty6d8Ed8vMfO1T2rlP4pKSn4YFIs2kU+iSaP18YrPbri4P4/PDKrpJmq5kqZqWqu7ll17r9n9y7079cXLZpHoFZoMLZs3pTnjHdI6K9yrpSZquZKmalqru5Zde+vaq6UmarmSpmpaq7uWdlf7/4q5qp6Hyylv6qZAACjAEq7lfW2es23RkhIiLFs5ZfG/kNHjehhI4ywunWNMxcSsr1vfs/VPasn9U9OvZ3l9vob/Y1nWkYaW37cYcQf/suYNHW6UbtOHePIibOZ3qcgPa+edKwKykxmlTPTk7Kmpme9fb95mzFpygfG2nXfG0FBQcba9RuzvU9qupz+ko4V+7N/Qcmqe39JWdlf7/6SsrK/3v2dnavifbCk/ipm5pSWi4tRz3U0RsaMsV9OsViNRhERxsy42Xk6+Crm6p7Vk/pntbB4PumGUbVqVeObDZsd9rdp196InTQ1T4uLUp5XTzpWBWUms8qZ6UlZc7JQeGdz5eKip/SXdKzYn/0LSlbd+0vKyv5695eUlf317u/sXBXvgyX1VzEzp7T7s+hb6ek4dPAAwhs0tO8zm80ID2+I+H2/edRc3bNK6m+1WmG1WuHtXcRhv7d3Uez7ba9HZZUyU1JW3ftLyqp7f1Uk9ZeSlf317i8pq+79JWVlf737S8rK/nr3VznX1ST1V/2cunVx8c0338SPP/6YpxkWiwXXrl1z2CwWS6a3T76SDKvVCn9/f4f9/v7+SEhIcDqHirm6Z5XUv1ixYqheoxbmz5mFy5cuwWq1Yv23a7A//nckJFz2qKxSZkrKqnt/SVl176+KpP5SsrK/3v0lZdW9v6Ss7K93f0lZ2V/v/irnupqk/qqfU7cuLn788cdo1qwZgoKCMHHiRFy4cCHXM2JjY+Hr6+uwTZ4YqyAtUdZGj58AAwZaP90MjevXwsqlS/B0y1Ywm7U7QZiIiIiIiIiINOH2VY/vv/8erVq1wpQpU1CmTBm0a9cOa9euhc1my9H9o6OjcfXqVYdt0JDoTG/vV9IPXl5eSExMdNifmJiIgIAAp3uomKt7Vkn9AaD0Y2Uwa97n2LZ9N9Zs2ILPlqzA7du3UerR0h6VVcpMSVl17y8pq+79VZHUX0pW9te7v6SsuveXlJX99e4vKSv7691f5VxXk9Rf9XPq9sXF6tWrY/r06Th37hwWL14Mi8WC9u3b47HHHsPw4cNx7NixLO/v7e0NHx8fh83b2zvT2xcuUgRVq4Vg547t9n02mw07d25HjZq1ne6hYq7uWSX1z+i+++5HwIMP4tq1q9jxy89o0uwJj8oqZaakrLr3l5RV9/6qSOovJSv7691fUlbd+0vKyv5695eUlf317q9yrqtJ6q/6OS2U5wkuUrhwYXTu3BmdO3fGqVOnMH/+fCxYsAATJkyA1Wp16WN179kLI4cNQUhIKEKr18DiRQuRlpaG9h2iPG6u7lkl9d/xy08wDANly5XH6VOn8NG0yShbvjzatOvgcVmlzJSUVff+krLq3j81NQWnTp2yXz579gwOHz4EX19fBAaW8qisuh8r9te7v6SsuveXlJX99e4vKSv7691f1VwV74Ml9VeVFfCgxcWMypQpg9GjRyMmJgabNm1y+fyWka2QnJSEuJkzkJBwGcFVqiJu9lz45/FUUBVzdc8qqf+N69cR99F0XLp4AT6+vmj+5NN47Y23UKhwYY/LKmWmpKy695eUVff+B/bvR++XetgvT530z+cUt2nXAePGT/CorLofK/bXu7+krLr3l5SV/fXuLykr++vdX9VcFe+DJfVXlRUATIZhGHme4qTy5ctj9+7dd31bTV7dvO3ScUQAgJu3XHsGLQAULezl8plEpDdVP9VNJjVziYiIiIhcQcX7YN3fAxfN4SmJbl1cVIWLi6QCFxeJSAIuLhIRERGRjri46Ho5XVx0+xe6EBERERERERERkUxcXCQiIiIiIiIiIiKncHGRiIiIiIiIiIiInMLFRSIiIiIiIiIiInJKDj+akYhUfPlK/KmrLp8JACGlfVw+08us+SfZEgmRftumZK53Yf7/kURERESe7LbV9d9oUsjL9b8H8gsICx7+pkBERERERERERERO4eIiEREREREREREROYWLi0REREREREREROQULi4SERERERERERGRU7RdXFy+dAkiWzyBerWro1uXTvgjPt5j5+qeVZf+qxbPQffI+g7b4N6d7NfPnxGLd3p1wEvtGuP155/GtDHv4tzpv/Oc+bO5c1CnehVMnvh+nmfpcqzyc6aqubpn1bW/1WrFrI8/RLtWT6Hx47XQofXTmDcnDoaLPlXb0/urnitlpqq5Umaqmqt7Vt37q5orZaaquVJmqpqre1b2d+3M2XEfIaxGFYctqm1knnOqyLpn9y7079cXLZpHoFZoMLZs3uSSnICMY6VyrqqsWi4ubli/DlMmxaLP6/2w/IvVCA6ugtf6vIzExESPm6t7Vt36P1q2Aj5ass6+jZzyqf26cpWqoPfAkZg4ZwUGj58BwzAwafibsFmtTmc+sP8PfPXlClQOCnZ6xh26Hav8mMmscmZKyfr5Z3Px1RfLMWjoCKxY9S3eeOsdLFowDyuXLXY6o6qsqmZKysr+eveXlFX3/pKysr/e/SVlZX81/StWrIzvtvxo3+YtXJqneaqypqWlIig4GNHDY/KcLyNJx0pSVgCAUQCl3cp6i3quozEyZoz9corFajSKiDBmxs3O9r75PVf3rAW9/86/rti3IWMmGU+1fNZhX1bbF5t2GUFBQcaaH/ffdd0Niy3b7VLydeOpFi2Mzdt+Ml7o2s2IGftelrfX/Vixf8HJWtD7X0m1Zrr1erm38c7goQ77+rzWz+j/9jtZ3u9KqlVMf0nHiv3Zv6Bk1b2/pKzsr3d/SVnZ37mZ12/aMt2mfPCh0bpN2yxvc69NRdbU9JxvQUFBxtr1G3N0W0nHSkrWnNLuzMVb6ek4dPAAwhs0tO8zm80ID2+I+H2/edRc3bPq2P/C2dN4s1srDOzVHnETRyLh0oV73u7mzTT88P03ePCRUvB/8GGnMk8YPxYRjZvh8QyZnaXjsVI9k1nlzJSUtUbN2ti9cwdOnjwBAPjzyGHs+20vGjZq7NQ8lVl1P1bsr3d/SVl17y8pK/vr3V9SVvZX0x8ATp08iWeebIy2kU9h+NB3cf78uTzNU5nV1SQdK0lZ7bPyPCGPZs6ciR49emD58uUAgEWLFqFatWqoUqUKhg0bhtu3b2d5f4vFgmvXrjlsFosl09snX0mG1WqFv7+/w35/f38kJCQ43UPFXN2z6ta/YnAoXn1nFAa99yFefGMILl88h/cGvYq01BT7bTat/RKvdGiK3h2aIn73dgwZPxOFChfOdd7v1n+LwwcP4s23B+b6vvei27HKj5nMKmempKw9X+qNFi1boXP7Z9GgbnV07xKFLt16oOWzbZyapzKr7seK/fXuLymr7v0lZWV/vftLysr+avqHVq+J0e/FYuYnczF0RAzOnT2DV178D1JSbjg9U1VWFSQdK0lZ7yiU5wl58N5772HSpEl4+umnMWDAAJw8eRKTJ0/GgAEDYDabMW3aNBQuXBhjxozJdEZsbOxd1w8fGYMRo0YrTk/kWjXr/d//g1CmfGVUDA7FgJ5tsfPHTWj2TDsAQMPmLRFauz6uJCVg3VdLMDN2GEZO/RRFinjn+HEuXDiPyRPeR9yc+fD2zvn9iEi+Td+vx4Z1azEudjIqVKyMP48cwgeTYxHw4ENo3ba9u+MRERERkSKNGjex/+/KQcGoXr0mnm35BDZ+twHtozq6MRkVBG5dXFywYAEWLFiAqKgo7Nu3D2FhYVi4cCG6desGAKhSpQoGDx6c5eJidHQ0Bg50PPvK8Mp8wcSvpB+8vLzu+sDKxMREBAQEON1FxVzds+rev1jxEnjk0TK4eO6Mfd/9xYrj/mLF8cijZVCpSnX06fQk9vyyDQ2aPZPjuYcOHEBSUiK6PR9l32e1WrF3z26sXLYEO/bEw8vLK1dZdT9WuveXlFX3/jOmTUHPXq/g6ZbPAgAqVQ7C+fPnsHD+nDwtLkrpLykr++vdX1JW3ftLysr+eveXlJX91fT/txI+PihbthxOnz7p9Iz8yuoKko6VpKx3uPXPos+dO4e6desCAGrWrAmz2YxatWrZr69Tpw7Oncv6MwC8vb3h4+PjsGV1NlbhIkVQtVoIdu7Ybt9ns9mwc+d21KhZ2+kuKubqnlX3/jfTUnHp/FmUfODe/6EbhgHAwK1bt3I1t354OFauWoNlX6y2b9VCQhH5bBss+2J1rhcWAR4r3ftLyqp7/5s302AyO/7o9zJ7wWazOTVPZVbdjxX7691fUlbd+0vKyv5695eUlf3V9P+31NQUnDl9GgEBDzo9I7+yuoKkYyUp6x1uPXPxkUcewcGDB1GmTBkcPXoUVqsVBw8eREhICADgwIEDeOihh1z+uN179sLIYUMQEhKK0Oo1sHjRQqSlpaF9h6js75zPc3XPqlP/pZ9+iNqPN0bAw48gOTEBqxbPgdlsRoOmT+PS+bPY8cNGVK/zOEr4+iEp4RLWrlyIIkW8Hf6cOieKFSuOSpWDHPbdd9998C1Z8q79uaHTscqvmcwqZ6aUrI2bNMeCubPxyCOBqFCxMo4cOYilixegTbu8dVeRVdVMSVnZX+/+krLq3l9SVvbXu7+krOzv+pnTpkxEk2bNERhYCpcvX8LsuJkwe5nRMrK10zNVZU1NTcGpU6fsl8+ePYPDhw/B19cXgYGlPCqr7q/VO9y6uNitWzf06NED7dq1w+bNmzF48GC8++67SExMhMlkwvjx49Gxo+v/9r9lZCskJyUhbuYMJCRcRnCVqoibPRf+eTwVVMVc3bPq1D8p4RLiJo7AjWtXUcLXD0EhNREzbT58SvrBar2NI/t/x3dfL0fKjWvwLfkAgkNrY9QH8+Bb8gGnM7uSTscqv2Yyq5yZUrK+O3QEZn/8ISbFjkVyUhICHnwIHZ7rjFf6vO50RlVZVc2UlJX99e4vKavu/SVlZX+9+0vKyv6un3np0kUMG/IOrl65Aj+/B1CrThgWLF4Bvwfy9vukiqwH9u9H75d62C9PnRQLAGjTrgPGjZ/gUVl1f63eYTL++dtKt7DZbJgwYQK2b9+Ohg0bYujQoVixYgUGDx6M1NRUtGnTBjNnzkSxYsVyNfdm1l8wTeQx4k9dVTI3pLSPy2d6mU0un0lErme5lbc/cc6Md2G3fpIKEREREWXjttX1yzuFvFz/e6CqVSgTf2V1uaI5PCXRrYuLqnBxkaTg4iIRuRoXF4mIiIj0xMVFNXN1ltPFRf6mQERERERERERERE7h4iIRERERERERERE5hYuLRERERERERERE5BQuLhIREREREREREZFT+IUuRAXQj0cTXD6zceW8fz09EanHD8gmIiIiIiJX4Be6EBERERERERERkVJcXCQiIiIiIiIiIiKncHGRiIiIiIiIiIiInMLFRSIiIiIiIiIiInKKtouLy5cuQWSLJ1CvdnV069IJf8THe+xc3bPq3t8Vc68kXsbCaWMwuHskBnRujvH9u+PksUP3vO2yTybhjfaNsHXNinzPmZ9zpcxUNVf3rDr337N7F/r364sWzSNQKzQYWzZvynPGOyT0VzlXykxVc6XMVDVX96y691c1V8pMVXOlzFQ1V/es7K93f1VzpcxUNVdVVi0XFzesX4cpk2LR5/V+WP7FagQHV8FrfV5GYmKix83VPavu/V0xN/XGNXwwtC/MXoXw+sipGP7REkT1egP3Fytx12337fgf/j5yAL4P5P6boT21v+SZzCpnpqSsaWmpCAoORvTwGKdn3IuU/pKysr/e/SVl1b2/pKzsr3d/SVnZX+/+krLq3t/OKIDSbmW9RT3X0RgZM8Z+OcViNRpFRBgz42Zne9/8nqt7Vt37Ozv3+4OX7Vu/oWONyHYdHfbda1v540GjfoNGxsINO43wRk2M6AkzHa6X1L+gzGRWOTM9KWtqes63oKAgY+36jTm6rZT+ko4V+7N/Qcmqe39JWdlf7/6SsrK/3v0lZS3o/XNKuzMXb6Wn49DBAwhv0NC+z2w2Izy8IeL3/eZRc3XPqnt/V83949efUKZSFcybNAJDez6LCQNexM/fr3G4jc1mw+fTx+LJ9l0RWKaCW3Lm11wpM5lVzkxpWVWQ1F9KVvbXu7+krLr3l5SV/fXuLykr++vdX1JW3ftn5NbFxfPnz2PUqFF44oknULVqVYSEhKBNmzaYN28erFarksdMvpIMq9UKf39/h/3+/v5ISEjwqLm6Z9W9v6vmJlw8hx83fI0HA0ujX8w0RLTsgC/nTsOOLevst9m4ajHMZi80a93JbTnza66UmcwqZ6a0rCpI6i8lK/vr3V9SVt37S8rK/nr3l5SV/fXuLymr7v0zctvi4u7du1G1alWsW7cOt27dwtGjRxEWFoZixYrh3XffRZMmTXD9+vVs51gsFly7ds1hs1gs+dCASAbDsOGxCkFo270vHqsQhIhn2qFhi7b46buvAQCnjh3GtrVf4D9vDYfJZHJvWCIiIiIiIiISxW2Li2+//TYGDBiA3bt348cff8SCBQvw559/Yvny5Th+/DhSU1MxYsSIbOfExsbC19fXYZs8MTbT2/uV9IOXl9ddH1iZmJiIgIDcf4mFyrm6Z9W9v6vm+vj545HHyjnse6R0OSRfvggA+OvgPty4moxRrzyH/lFN0D+qCZIuX8CqBTMxqvdz+ZYzv+ZKmcmscmZKy6qCpP5SsrK/3v0lZdW9v6Ss7K93f0lZ2V/v/pKy6t4/I7ctLu7duxfdu3e3X+7atSv27t2Lixcvws/PD5MmTcKXX36Z7Zzo6GhcvXrVYRs0JDrT2xcuUgRVq4Vg547t9n02mw07d25HjZq1ne6jYq7uWXXv76q5FarUwKWzpxz2XTp3Cg88+AgAoF6zloie/jmGTltg33wfCMBT7bui3+gP8i1nfs2VMpNZ5cyUllUFSf2lZGV/vftLyqp7f0lZ2V/v/pKysr/e/SVl1b1/RoXyPMFJDz30EM6fP48KFf758oiLFy/i9u3b8PHxAQBUrlwZSUlJ2c7x9vaGt7e3w76bt7O+T/eevTBy2BCEhIQitHoNLF60EGlpaWjfIcq5Mgrn6p5V9/6umPtE2+cxdWgffPfFQtSJeBJ//3kQP3+/Bi+8PhgAUNzHF8V9fB3u4+VVCD4lH8DDj5bNt5z5OVfKTGaVM1NS1tTUFJw69X//h8PZs2dw+PAh+Pr6IjCwlEdl1f1Ysb/e/SVl1b2/pKzsr3d/SVnZX+/+krLq3v8Oty0utm/fHn379sXkyZPh7e2NcePGoWnTprjvvvsAAEeOHMGjjz6q5LFbRrZCclIS4mbOQELCZQRXqYq42XPhn8dTQVXM1T2r7v1dMbds5aroPTQWaxbNwvqVC+D/cCCee/kt1Gv6TJ5yuTpnfs6VMpNZ5cyUlPXA/v3o/VIP++Wpk/75KJE27Tpg3PgJHpVV92PF/nr3l5RV9/6SsrK/3v0lZWV/vftLyqp7/ztMhmEYeZ7ihBs3buDll1/GqlWrYLVa0aBBAyxevBjly5cHAHz//fe4evUqOnXK/bfXZnfmIlFB9+NR13+TbOPKnvUZb0R0b6p+qvP7noiIiIiI9FI0h6ckum1x8Y6bN2/i9u3bKF68uOtmcnGRNMfFRSJ9cXGRiIiIiIhcIaeLi277s+g7ihYt6u4IRERERERERERE5AS3fVs0ERERERERERERycbFRSIiIiIiIiIiInIKFxeJiIiIiIiIiIjIKW7/QhcV+IUuRK5ntbn+nwovM78hgoiIiIiIiMgT5fQLXXjmIhERERERERERETmFi4tERERERERERETkFC4uEhERERERERERkVO4uEhERERERERERERO0XZxcfnSJYhs8QTq1a6Obl064Y/4eI+dq3tW3furmqsqKwB8NncO6lSvgskT33fJPCn9efzlZGV/vfurmitlpqq5Umaqmqt7Vt37q5orZaaquVJmqpqre1b217u/qrlSZqqaq2wdwHAzi8VirFixwnj77beNLl26GF26dDHefvttY+XKlYbFYnFqZtqtrLfVa741QkJCjGUrvzT2HzpqRA8bYYTVrWucuZCQ7X3ze67uWXXv70lZb1hsOdp27tlnNGve3Hi2dRsjZux7Wd5WUn/dj39Bysr+eveXlJX99e4vKavu/SVlZX+9+0vKyv5695eUtaD3zym3Li4ePXrUqFChglG0aFGjadOmRufOnY3OnTsbTZs2NYoWLWpUqlTJOHr0aK7nZveERj3X0RgZM8Z+OcViNRpFRBgz42bn6eCrmKt7Vt37e1LWnCwsXkq+bjzVooWxedtPxgtdu7lkcdFT+ut+/AtSVvbXu7+krOyvd39JWXXvLykr++vdX1JW9te7v6SsBb1/Trn1z6Jfe+01VK9eHRcvXsS2bduwYsUKrFixAtu2bcPFixcREhKCfv36ufQxb6Wn49DBAwhv0NC+z2w2Izy8IeL3/eZRc3XPqnt/aVkBYML4sYho3AyPZ5idF1L68/jLycr+eveXlJX99e4vKavu/SVlZX+9+0vKyv5695eUVff+Gbl1cfHnn3/Ge++9Bx8fn7uu8/Hxwbhx4/Djjz+69DGTryTDarXC39/fYb+/vz8SEhI8aq7uWXXvLy3rd+u/xeGDB/Hm2wOdnvFvUvrz+MvJyv5695eUlf317i8pq+79JWVlf737S8rK/nr3l5RV9/4ZFcrzhDwoWbIk/v77b4SGht7z+r///hslS5bMcobFYoHFYnHYZ3h5w9vb21UxiSgbFy6cx+QJ7yNuznz+t0dERERERESkEbeeufjKK6+gR48emDZtGuLj43Hx4kVcvHgR8fHxmDZtGl588UW8+uqrWc6IjY2Fr6+vwzZ5Ymymt/cr6QcvLy8kJiY67E9MTERAQIDTXVTM1T2r7v0lZT104ACSkhLR7fko1KsVgnq1QrBn9y4sX7II9WqFwGq1ekxWKTOZVc5MSVl17y8pK/vr3V9SVt37S8rK/nr3l5SV/fXuLymr7v0zcuvi4tixYzFkyBBMnjwZtWrVQqlSpVCqVCnUqlULkydPxpAhQzB69OgsZ0RHR+Pq1asO26Ah0ZnevnCRIqhaLQQ7d2y377PZbNi5cztq1KztdBcVc3XPqnt/SVnrh4dj5ao1WPbFavtWLSQUkc+2wbIvVsPLy8tjskqZyaxyZkrKqnt/SVnZX+/+krLq3l9SVvbXu7+krOyvd39JWXXvn5Fb/ywaAIYMGYIhQ4bgxIkTuHDhAgDgkUceQfny5XN0f2/vu/8E+ubtrO/TvWcvjBw2BCEhoQitXgOLFy1EWloa2neIcqqDyrm6Z9W9v5SsxYoVR6XKQQ777rvvPviWLHnXfndnlTSTWeXMlJRV9/6SsrK/3v0lZdW9v6Ss7K93f0lZ2V/v/pKy6t7/DrcvLt5Rvnz5uxYUT58+jZiYGMyfP9+lj9UyshWSk5IQN3MGEhIuI7hKVcTNngv/PJ4KqmKu7ll17y8tqwpS+vP4y8nK/nr3l5SV/fXuLymr7v0lZWV/vftLysr+eveXlFX3/neYDMMw8jxFkX379qFOnTq5/ry27M5cJKLcs9pc/0+Fl9nk8plERERERERElHdFc3hKolvPXFyzZk2W1x8/fjyfkhAREREREREREVFuufXMRbPZDJPJhKwimEwmnrlI5AF45iIRERERERGRPnJ65qJbvy06MDAQq1atgs1mu+e2d+9ed8YjIiIiIiIiIiKiLLh1cTEsLAx79uzJ9PrszmokIiIiIiIiIiIi93HrZy4OGjQIKSkpmV5fqVIlbN26NR8TERERERERERERUU559LdFO4ufuUgkg03RPz9mEz/LkYiIiIiIiCgvRHzmIhEREREREREREcnFxUUiIiIiIiIiIiJyChcXiYiIiIiIiIiIyClcXCQiIiIiIiIiIiKncHGRiIiIiIiIiIiInOLRi4sXL17E2LFjlcxevnQJIls8gXq1q6Nbl074Iz7eY+fqnlX3/qrmSpg579PZ6PZ8RzSqXwdPNGmIAf374e8Tx/OcU0VWVTNVzdU9K/vr3V/VXCkzVc2VMlPVXN2z6t5f1VwpM1XNlTJT1Vzds7K/3v1VzZUyU9VcVVlheLDff//dMJvNub5f2q2st9VrvjVCQkKMZSu/NPYfOmpEDxthhNWta5y5kJDtffN7ru5Zde8vKaszM1PSbVluL/Z6yVi28ksj/uARY2/8QeOll3sbTZo2MxKu3MjyflL6SzpWBSkr++vdX1JW9te7v6SsuveXlJX99e4vKSv7691fUtaC3j+n3Lq4uG/fviy3FStWKFlcjHquozEyZoz9corFajSKiDBmxs3O08FXMVf3rLr3l5TVmZnZLS7+ezt9IcEICgoyfvhlZ54WFz2lv6RjVZCysr/e/SVlZX+9+0vKqnt/SVnZX+/+krKyv979JWUt6P1zyq1/Fl2rVi3Url0btWrVumurXbs2unTp4vLHvJWejkMHDyC8QUP7PrPZjPDwhojf95tHzdU9q+79JWVV1f/fbty4DgDw9fV1eoak/swqY6akrLr3l5SV/fXuLymr7v0lZWV/vftLysr+eveXlFX3/hm5dXHxgQcewKeffooTJ07ctR0/fhxr167NdobFYsG1a9ccNovFkuntk68kw2q1wt/f32G/v78/EhISnO6iYq7uWXXvLymrqv4Z2Ww2TJnwPmrVroNKlYOcniOpP7PKmCkpq+79JWVlf737S8qqe39JWdlf7/6SsrK/3v0lZdW9f0ZuXVwMCwvDuXPnULZs2Xtujz76KAzDyHJGbGwsfH19HbbJE2PzqQER5ZfY98bi2LGjmDD5A3dHISIiIiIiIqL/r5A7H7xv375ISUnJ9PoyZcrgs88+y3JGdHQ0Bg4c6LDP8PLO9PZ+Jf3g5eWFxMREh/2JiYkICAjIQer8m6t7Vt37S8qqqv8dE8aPxY//24Z5Cxfj4UceydMsSf2ZVcZMSVl17y8pK/vr3V9SVt37S8rK/nr3l5SV/fXuLymr7v0zcuuZix06dMB//vOfTK/38/NDz549s5zh7e0NHx8fh83bO/PFxcJFiqBqtRDs3LHdvs9ms2Hnzu2oUbN27ksonKt7Vt37S8qqqr9hGJgwfiy2bN6E2fMX4NHSpZ2epTKr7sdfUlb217u/pKzsr3d/SVl17y8pK/vr3V9SVvbXu7+krLr3z8itZy5m5/Tp04iJicH8+fNdOrd7z14YOWwIQkJCEVq9BhYvWoi0tDS07xDlcXN1z6p7f0lZVcyMfW8s1q9bi2kzPkaxYsWQkHAZAFC8eAkULVrUo7LqfvwlZWV/vftLysr+eveXlFX3/pKysr/e/SVlZX+9+0vKqnv/Ozx6cTEpKQkLFy50+eJiy8hWSE5KQtzMGUhIuIzgKlURN3su/PN4KqiKubpn1b2/pKwqZn6xYhkAoHevHg77x7z3Ptq2d/4fQCn9mVXOTElZde8vKSv7691fUlbd+0vKyv5695eUlf317i8pq+797zAZ2X1jikJr1qzJ8vrjx4/jnXfegdVqzdXcm7fzkoqI8otN0T8/ZpNJyVwiIiIiIiIiXRTN4SmJbl1cNJvNMJlMWX4jtMlk4uIiUQHFxUUiIiIiIiIiz5TTxUW3fqFLYGAgVq1aBZvNds9t79697oxHREREREREREREWXDr4mJYWBj27NmT6fXZndVIRERERERERERE7uPWL3QZNGgQUlJSMr2+UqVK2Lp1az4mIiIiIiIiIiIiopxy62cuqsLPXCSSgZ+5SEREREREROSZcvqZi249c5GI5Lhtdf1CYCEvNYuA19Nc//8wlLiP/1ySDJIW7W/eyt0XtuVE0cJeLp9JREQkgeWWTclc78Ju/TQ1ohxT8TaY563kDP+VICIiIiIiIiIiIqdwcZGIiIiIiIiIiIicwsVFIiIiIiIiIiIicgoXF4mIiIiIiIiIiMgp2i4uLl+6BJEtnkC92tXRrUsn/BEf77Fzdc+qe39Vc105c3bcRwirUcVhi2obmeeMrsj6+97dGDzgdbRr2QwRdUPww7bNDtePHz0MEXVDHLaBb76a7znze67uWXXuP+/T2ej2fEc0ql8HTzRpiAH9++HvE8fznFNF1pSUFHwwKRbtIp9Ek8dr45UeXXFw/x8emVXSTFVzpcxUNVf3rLr3VzVXykxVc6XMVDXX1TOtVitmffwh2rV6Co0fr4UOrZ/GvDlxMFzwLRgS+qucK2WmqrlSsu7ZvQv9+/VFi+YRqBUajC2bN3lkTpVzVWX1iMXFM2fO4MaNG3ftv3XrFn744QeXP96G9eswZVIs+rzeD8u/WI3g4Cp4rc/LSExM9Li5umfVvb+krBUrVsZ3W360b/MWLnV6liuzpqWloVLlYAwcMiLT2zzeMAL/3bDNvo0ePznfc+bnXN2z6t5/7+5deP6Frvh86Qp8Mmc+bt+6jddefQVpqalOz1SV9f0xI/Hrjl8w+r2JWPLF13i8QUO80fdlXLp40eOySpkpKavu/SVl1b2/pKzsr3f/zz+bi6++WI5BQ0dgxapv8cZb72DRgnlYuWyx0zNVZdX9WOneX9XctLRUBAUHI3p4TJ6yqc6paq6qrAAAw43OnTtn1KtXzzCbzYaXl5fRvXt34/r16/brL1y4YJjN5lzPTbuV9Rb1XEdjZMwY++UUi9VoFBFhzIybne1983uu7ll17+9JWa/ftGW6TfngQ6N1m7ZZ3uZem6qsl67duucWFBRkfLlmg8O+twYOMl7u3TfT+9zZdD/+BSlrQe+fkm7L1Xb6QoIRFBRk/PDLzixvpyJrcurtTLfzSTeMqlWrGt9s2Oywv0279kbspKmZ3k/SsdL9tcr+BSer7v0lZWX/gt3/Sqo1y63Xy72NdwYPddjX57V+Rv+338nyflL6SzpW7K9mbmp6zregoCBj7fqN2d5OUn8VM3PKrWcuDh06FGazGTt37sSGDRtw8OBBNG/eHMnJyfbbGC44RTujW+npOHTwAMIbNLTvM5vNCA9viPh9v3nUXN2z6t5fWtZTJ0/imScbo23kUxg+9F2cP3/O6Vmqs/7bb3t2oXWLxngh6llMiR2Lq1eueEROScdfSlbd+9/LjRvXAQC+vr5Oz1CR1Wq1wmq1wtu7iMN+b++i2PfbXo/KKmWmpKy695eUVff+krKyv979AaBGzdrYvXMHTp48AQD488hh7PttLxo2auz0TEn9pWTVvb/Kua4mqb/q59Sti4ubNm3CjBkzULduXTz11FP4+eefERgYiCeeeAJJSUkAAJPJlOUMi8WCa9euOWwWiyXT2ydfSYbVaoW/v7/Dfn9/fyQkJDjdRcVc3bPq3l9S1tDqNTH6vVjM/GQuho6IwbmzZ/DKi/9BSsrdH3fg7qz/9niDCIwY8z4+/GQeXus/EL/v3YV3+/eB1Wp1e04px19SVt37/5vNZsOUCe+jVu06qFQ5yOk5KrIWK1YM1WvUwvw5s3D50iVYrVas/3YN9sf/joSEyx6VVcpMSVl17y8pq+79JWVlf737A0DPl3qjRctW6Nz+WTSoWx3du0ShS7ceaPlsG6dnSuovJavu/VXOdTVJ/VU/p25dXLx69Sr8/Pzsl729vbFq1SqUK1cOzZs3x6VLl7KdERsbC19fX4dt8sRYlbGJ6F8aNW6CFk+3ROWgYDRs1BgzPp6D69evYeN3G9wdLVtPPdMKEU2fQMVKQWjS7ElMnBaHQwf347c9u9wdjUi52PfG4tixo5gw+QN3R7mn0eMnwICB1k83Q+P6tbBy6RI83bIVzGaP+MhoIiIiUTZ9vx4b1q3FuNjJWLTsK8SMi8Xiz+dj7Zqv3R2NiIQr5M4Hr1ChAuLj41G5cmX7vkKFCuGLL75Ap06d0Lp162xnREdHY+DAgQ77DC/vTG/vV9IPXl5ed31gZWJiIgICAnLZQO1c3bPq3l9a1oxK+PigbNlyOH36ZJ7m5EfWf3u09GMoWdIPZ06fQt364Tm6D4+/nKy6989owvix+PF/2zBv4WI8/MgjeZqlKmvpx8pg1rzPkZaWipQbKQh48EEMHzwQpR4t7VFZpcyUlFX3/pKy6t5fUlb217s/AMyYNgU9e72Cp1s+CwCoVDkI58+fw8L5c9C6bXuPyar7sdK9v8q5riapv+rn1K3/139kZCTmzJlz1/47C4y1atXK9jMXvb294ePj47B5e2e+uFi4SBFUrRaCnTu22/fZbDbs3LkdNWrWdrqLirm6Z9W9v7SsGaWmpuDM6dMICHgwT3PyI+u/Xbp4AVevXsnVP7A8/nKy6t4f+OezjCeMH4stmzdh9vwFeLS08wt1qrPecd999yPgwQdx7dpV7PjlZzRp9oRHZZUyU1JW3ftLyqp7f0lZ2V/v/gBw82YaTP86+9/L7AWbzeb0TEn9pWTVvb/Kua4mqb/q59StZy6OHz8eqamp97yuUKFC+Oqrr3D27FmXP273nr0wctgQhISEIrR6DSxetBBpaWlo3yHK4+bqnlX3/lKyTpsyEU2aNUdgYClcvnwJs+NmwuxlRsvI7M8+Vp01NTUFZ0+fsl8+f/YMjh45hBK+vvDx8cVnn36Cpk+0gL9/AM6eOY24GVPx6GNlUL9BRL7mzM+5umfVvX/se2Oxft1aTJvxMYoVK2b//MLixUugaNGiHpV1xy8/wTAMlC1XHqdPncJH0yajbPnyaNOug9MzVWWVMlNSVt37S8qqe39JWdlf7/6NmzTHgrmz8cgjgahQsTKOHDmIpYsXoE07PfpLyqp7f1VzU1NTcOrU//1uePbsGRw+fAi+vr4IDCzlMTlVzVWVFXDz4mKhQoXg4+OT6fXnz5/HmDFjMH/+fJc+bsvIVkhOSkLczBlISLiM4CpVETd7LvzzeCqoirm6Z9W9v5Ssly5dxLAh7+DqlSvw83sAteqEYcHiFfB74AGnM7oq6+GDB9C/by/75Y+mTQIARLZuh3eHjsJfR49g/dr/4sb1awh48CHUC2+I3n3fRJEiRTIbqSRnfs7VPavu/b9YsQwA0LtXD4f9Y957H23bO//GQkXWG9evI+6j6bh08QJ8fH3R/Mmn8dobb6FQ4cJOz1SVVcpMSVl17y8pq+79JWVlf737vzt0BGZ//CEmxY5FclISAh58CB2e64xX+rzu9ExVWXU/Vrr3VzX3wP796P3S/70Hnjrpn+/raNOuA8aNn+AxOVXNVZUVAExGdn937Eb79u1DnTp1cvWtrQBw87aiQEQau211/T8Vhbyy/jZ4Z11Pc/0/AiXuc+v/F0OUYzZFP9bNJtf/93rzVu5+vudE0cJeLp9JREQkgeWW83/enBXvwvwiNZJBxdtgBW+BRSmaw1+D3frb8po1a7K8/vjx4/mUhIiIiIiIiIiIiHLLrWcums1mmEymLL+0xWQy8cxFIg/AMxd55iLJwDMXeeYiERHpiWcuku545qLr5fTMRbf+KxEYGIhVq1bBZrPdc9u7d6874xEREREREREREVEW3Lq4GBYWhj179mR6fXZnNRIREREREREREZH7uPXv/AYNGoSUlJRMr69UqRK2bt2aj4mIiIiIiIiIiIgopzz626Kdxc9cJCJXU/GZk4C6z50kfdlsij5z0czXKhEREZEn42cOkquJ+MxFIiIiIiIiIiIikouLi0REREREREREROQULi4SERERERERERGRU7i4SERERERERERERE7RdnFx+dIliGzxBOrVro5uXTrhj/h4j52re1bd+6uaK2Wmqrmunjk77iOE1ajisEW1jcxzThVZVc1UNVfKTFVzXT1z5Ypl6BzVFhHhYYgID0OPbs/jpx9/yHNOFVlVzVQ1V8pMVXOlzFQ1V/esuvdXNVfKTFVzpcxUNVf3rOzv2pl7du9C/3590aJ5BGqFBmPL5k15zngHj5Xe/QEAhpslJCQYW7ZsMRITEw3DMIzLly8bEyZMMMaMGWMcPHjQqZlpt7LeVq/51ggJCTGWrfzS2H/oqBE9bIQRVreuceZCQrb3ze+5umfVvb+krAW9//Wbtiy3KR98aERGPmucOHPRvp06n5jt/aT0l3SsdO+fYrFlua37bpOxYeNW4+Cfx42DR/4yJk6ealSrFmLEHziS5f2k9Jd0rNif/QtKVt37S8rK/nr3l5SV/Z2bmZqe+fb95m3GpCkfGGvXfW8EBQUZa9dvzPL2dzYeK73755RbFxd37txp+Pr6GiaTyfDz8zN2795tlC9f3qhcubJRsWJF47777jP27NmT67nZPaFRz3U0RsaMsV9OsViNRhERxsy42Xk6+Crm6p5V9/6Sshb0/jlZXGzdpm22t8vt4qKn9Jd0rHTvn93i4r22unXrGYuXrczT4qKn9Jd0rNif/QtKVt37S8rK/nr3l5SV/Z2bmZPFwtR0w6WLizxWBbt/Trn1z6KHDx+OTp064erVqxg2bBjat2+PJ598En/++SeOHTuGLl26YNy4cS59zFvp6Th08ADCGzS07zObzQgPb4j4fb951Fzds+reX1JW3fvfcerkSTzzZGO0jXwKw4e+i/Pnz+VpnqT+UrLq3v/frFYrNqz/FmlpqahRs5bTcyT1l5KV/fXuLymr7v0lZWV/vftLysr+6t8DugqPld79M3Lr4uKePXswcOBAlChRAm+99RbOnTuH3r17269/4403sGvXrixnWCwWXLt2zWGzWCyZ3j75SjKsViv8/f0d9vv7+yMhIcHpLirm6p5V9/6SsureHwBCq9fE6PdiMfOTuRg6Igbnzp7BKy/+BykpN5yeKam/lKy697/j6J9H0LB+HTweVgPjx43G1OkzUbFiJafnSeovJSv7691fUlbd+0vKyv5695eUlf3VvQd0NR4rvftn5NbFxfT0dNx3330AgMKFC+P+++9HQECA/fqAgAAkJiZmOSM2Nha+vr4O2+SJsUpzExH9W6PGTdDi6ZaoHBSMho0aY8bHc3D9+jVs/G6Du6MR3aVc+fJY/uVqfL5kBTp17oJRI4bir7+OuTsWEREREREJVMidD/7YY4/h+PHjKFeuHABg+fLlCAwMtF9//vx5h8XGe4mOjsbAgQMd9hle3pne3q+kH7y8vO5atExMTMz2sbKiYq7uWXXvLymr7v3vpYSPD8qWLYfTp086PUNSfylZde9/R+HCRVCmTFkAQLWQUBzYvx/LFn+OETFjPSar7seK/fXuLymr7v0lZWV/vftLysr++fP7iivwWOndPyO3nrnYpUsXXLp0yX752WeftZ/JCABr1qxB/fr1s5zh7e0NHx8fh83bO/PFxcJFiqBqtRDs3LHdvs9ms2Hnzu2oUbO2011UzNU9q+79JWXVvf+9pKam4Mzp0wgIeNDpGZL6S8mqe//MGIYN6enpTt9fUn8pWdlf7/6SsureX1JW9te7v6Ss7J9/7wHzisdK7/4ZufXMxZiYmCyvHz58OLy8vFz+uN179sLIYUMQEhKK0Oo1sHjRQqSlpaF9hyiPm6t7Vt37S8qqe/9pUyaiSbPmCAwshcuXL2F23EyYvcxoGdna6Zmqsup+rHTvP2P6VDSKaILAwECkpKRg/bq12L3rV8TNmuv0TFVZdT9W7K93f0lZde8vKSv7691fUlb2d/3M1NQUnDp1yn757NkzOHz4EHx9fREYWMqjsqqaK2WmtKyAmxcXs5OYmIiYmBjMnz/fpXNbRrZCclIS4mbOQELCZQRXqYq42XPhn8dTQVXM1T2r7v0lZdW9/6VLFzFsyDu4euUK/PweQK06YViweAX8HnjA6Zmqsup+rHTvn5SUhJHDhyDh8mUUL1EClSsHI27WXIQ3bOT0TFVZdT9W7K93f0lZde8vKSv7691fUlb2d/3MA/v3o/dLPeyXp07657sq2rTrgHHjJ3hUVlVzpcyUlhUATIZhGHmeosi+fftQp04dWK3WXN3v5m1FgYhIW7etav6pLORlUjKX9GWzqXmtms18rRIRERF5MhWrOya+BdRa0RyekujWMxfXrFmT5fXHjx/PpyRERERERERERESUW249c9FsNsNkMiGrCCaTiWcuEpHb8cxFkoJnLhIRERHpiWcukqvl9MxFt35bdGBgIFatWgWbzXbPbe/eve6MR0RERERERERERFlw6+JiWFgY9uzZk+n12Z3VSERERERERERERO7j1s9cHDRoEFJSUjK9vlKlSti6dWs+JiIiIiIiIiIiIqKc8uhvi3YWP3ORyPX4+R2kAl9Xrqfqp7ruzysRERGRp1Px2dv83G29ifjMRSIiIiIiIiIiIpKLi4tERERERERERETkFC4uEhERERERERERkVO4uEhERERERERERERO0XZxcfnSJYhs8QTq1a6Obl064Y/4eI+dq3tW3furmuvqmXt270L/fn3RonkEaoUGY8vmTXnOeIeE/qpmqporJauq15WU/ipm8r9VdXOlzFQ1V8pMVXN1z6p7f1VzpcxUNVfKTFVzdc/K/q6duXLFMnSOaouI8DBEhIehR7fn8dOPP+Q5p4qsKudKmalqrqqsHrm4WKFCBRw9elTZ/A3r12HKpFj0eb0fln+xGsHBVfBan5eRmJjocXN1z6p7f0lZ09JSERQcjOjhMU7PuBcp/XU//qrmqnhdSeov5TkF5PSXlJX99e4vKavu/SVlZX+9+0vKyv6un/nwww/jzbffwZIVX2HJ8i9R//FwDOjfD38dy9vaC4+V3v3tDDf68MMP77l5eXkZ0dHR9su5lXYr6y3quY7GyJgx9sspFqvRKCLCmBk3O9v75vdc3bPq3t+Tsqam53wLCgoy1q7fmO3tJPXX/fgXpNeVJ/WX8py663kt6MeK/dm/oGTVvb+krOyvd39JWdnfuZkpFluutrp16xmLl63M8jY8Vnr3zym3nrn49ttvY/LkyZg2bZrDZrPZ8Pnnn2PatGmYPn26Sx/zVno6Dh08gPAGDe37zGYzwsMbIn7fbx41V/esuveXllUFKf15/OW8riT1l/KcArL6S8nK/nr3l5RV9/6SsrK/3v0lZWV/9e8BrVYrNqz/FmlpqahRs5bTc3is9O6fkVsXF1999VUEBARg3bp1OHHihH3z8vLC999/jxMnTuD48eMufczkK8mwWq3w9/d32O/v74+EhASPmqt7Vt37S8uqgpT+PP5yXleS+kt5TgFZ/aVkZX+9+0vKqnt/SVnZX+/+krKyv7r3gEf/PIKG9evg8bAaGD9uNKZOn4mKFSs5PY/HSu/+Gbl1cXHWrFkYNWoUnnnmGcycOdOpGRaLBdeuXXPYLBaLi5MSEREREREREclVrnx5LP9yNT5fsgKdOnfBqBFD8ddfx9wdiwoAt3+hS4cOHbB9+3asXr0akZGRuHDhQq7uHxsbC19fX4dt8sTYTG/vV9IPXl5ed31gZWJiIgICApzqoGqu7ll17y8tqwpS+vP4y3ldSeov5TkFZPWXkpX99e4vKavu/SVlZX+9+0vKyv7q3gMWLlwEZcqURbWQUPR/+x0EBVXBssWfOz2Px0rv/hm5fXERAB599FFs2rQJTZo0Qe3atWEYRo7vGx0djatXrzpsg4ZEZ3r7wkWKoGq1EOzcsd2+z2azYefO7ahRs7bTHVTM1T2r7v2lZVVBSn8efzmvK0n9pTyngKz+UrKyv979JWXVvb+krOyvd39JWdk//94DGoYN6enpTt+fx0rv/hkVyvMEFzGZTIiOjsbTTz+Nn376CYGBgTm6n7e3N7y9vR323byd9X269+yFkcOGICQkFKHVa2DxooVIS0tD+w5RzsZXNlf3rLr3l5Q1NTUFp06dsl8+e/YMDh8+BF9fXwQGlvKorFJmMqua15Wk/lKeU1VZdT9W7K93f0lZde8vKSv7691fUlb2d/3MGdOnolFEEwQGBiIlJQXr163F7l2/Im7WXKdnqsqqaq6UmdKyAh60uHhHWFgYwsLCAACnT59GTEwM5s+f79LHaBnZCslJSYibOQMJCZcRXKUq4mbPhX8eTwVVMVf3rLr3l5T1wP796P1SD/vlqZP++XiCNu06YNz4CR6VVcpMZlXzupLUX8pzqiqr7seK/fXuLymr7v0lZWV/vftLysr+rp+ZlJSEkcOHIOHyZRQvUQKVKwcjbtZchDds5PRMVVlVzZUyU1pWADAZufkb5Hy2b98+1KlTB1arNVf3y+7MRSLKPRX/UphMrp9JsvB15Xqqfqrr/rwSEREReTqbzfVvBM1mvgnUWdEcnpLo1jMX16xZk+X1x48fz6ckRERERERERERElFtuPXPRbDbDZDJl+QUuJpOJZy4SeQCeYUYq8HXlejxzkYiIiEhPPHORXC2nZy669duiAwMDsWrVKthstntue/fudWc8IiIiIiIiIiIiyoJbFxfDwsKwZ8+eTK/P7qxGIiIiIiIiIiIich+3fubioEGDkJKSkun1lSpVwtatW/MxEREREREREREREeWUR39btLP4mYtErsfPxiOSwargs3YAwIuft0NERETk0VS8D+R7QL2J+MxFIiIiIiIiIiIikouLi0REREREREREROQULi4SERERERERERGRU7i4SERERERERERERE7h4iIRERERERERERE5xaMWFw3DwNatW/Hpp59i7dq1uHXrlrLHWr50CSJbPIF6taujW5dO+CM+3mPn6p5V9/6q5rp65p7du9C/X1+0aB6BWqHB2LJ5U54z3iGhv6qZqubqnlX3/nd8NncO6lSvgskT33fJPEn9pWRlf737q5orZaaqubpnZX+9+6uaK2WmqrlSZmbkyveBPFZ69wcAGG4UGRlpXLlyxTAMw0hMTDQef/xxw2QyGQ8++KBhNpuNKlWqGJcuXcr13LRbWW+r13xrhISEGMtWfmnsP3TUiB42wgirW9c4cyEh2/vm91zds+re35OypqZnvX2/eZsxacoHxtp13xtBQUHG2vUbs72PpP66H/+ClLWg979hseVo27lnn9GseXPj2dZtjJix72V7eyn9JR0r9mf/gpJV9/6SsrK/3v0lZWV/52aqeB/IY6V3/5xy6+KiyWQyLl68aBiGYbz22mtGtWrVjOPHjxuGYRinT582wsLCjL59++Z6bnZPaNRzHY2RMWPsl1MsVqNRRIQxM252ng6+irm6Z9W9vydlzW6hMOPmysVFT+mv+/EvSFkLev+cvKG8lHzdeKpFC2Pztp+MF7p2c8nioqf0l3Ss2J/9C0pW3ftLysr+eveXlJX9nZup4n0gj5Xe/XPKY/4sesuWLYiNjUX58uUBAKVLl8bEiRPx3XffufRxbqWn49DBAwhv0NC+z2w2Izy8IeL3/eZRc3XPqnt/aVlVkNKfx19OVt373zFh/FhENG6GxzPMzgtJ/aVkZX+9+0vKqnt/SVnZX+/+krKyv9rf11z5PpDHSu/+Gbl9cdFkMgEAkpOTUbFiRYfrKlWqhHPnzmV5f4vFgmvXrjlsFosl09snX0mG1WqFv7+/w35/f38kJCQ42ULNXN2z6t5fWlYVpPTn8ZeTVff+APDd+m9x+OBBvPn2QKdn/Juk/lKysr/e/SVl1b2/pKzsr3d/SVnZX93va65+H8hjpXf/jNy+uPjiiy8iKioKt27dwokTJxyuu3DhAkqWLJnl/WNjY+Hr6+uwTZ4YqzAxERGRTBcunMfkCe/jvQlT4O3t7e44RERERJRP+D6QVCrkzgfv2bOn/X+3a9cOqampDtd/9dVXqFWrVpYzoqOjMXCg46q74ZX5fyh+Jf3g5eWFxMREh/2JiYkICAjIYfL8mat7Vt37S8uqgpT+PP5ysure/9CBA0hKSkS356Ps+6xWK/bu2Y2Vy5Zgx554eHl5eURW3Y8V++vdX1JW3ftLysr+eveXlJX91fRX8T6Qx0rv/hm59czFzz77zGHr3Lmzw/UxMTH4+uuvs5zh7e0NHx8fhy2rVfjCRYqgarUQ7Nyx3b7PZrNh587tqFGzttNdVMzVPavu/aVlVUFKfx5/OVl1718/PBwrV63Bsi9W27dqIaGIfLYNln2x2qmFRVVZdT9W7K93f0lZde8vKSv7691fUlb2V9NfxftAHiu9+2fk1jMXs5OUlISYmBjMnz/fpXO79+yFkcOGICQkFKHVa2DxooVIS0tD+w5R2d85n+fqnlX3/pKypqam4NSpU/bLZ8+eweHDh+Dr64vAwFIelVXKTGaVM1NK1mLFiqNS5SCHfffddx98S5a8a7+7s6qaKSkr++vdX1JW3ftLysr+eveXlJX9XT9T1ftAHiu9+9/h8YuLCxcudPniYsvIVkhOSkLczBlISLiM4CpVETd7LvzzeCqoirm6Z9W9v6SsB/bvR++XetgvT530z2eftmnXAePGT/CorFJmMqucmdKyqiCpv5Ss7K93f0lZde8vKSv7691fUlb21/s9oKq5UmZKywoAJsMwjDxPcdKaNWuyvP748eN45513YLVaczX35u28pCKie1HxL8X//7J4InIhq03Nj3UvM/+DJSIiIvJkKt4H8j2g3orm8JREty4ums1mmEwmZBXBZDJxcZHIA3BxkUgGLi4SERER6YmLi+RqOV1cdOsXugQGBmLVqlWw2Wz33Pbu3evOeERERERERERERJQFty4uhoWFYc+ePZlen91ZjUREREREREREROQ+bv1Cl0GDBiElJSXT6ytVqoStW7fmYyIiIiIiIiIiIiLKKbd+5qIq/MxFItfjZy4SycDPXCQiIiLSEz9zkVwtp5+56NYzF4lIDi4E6o0LVnLwGSUiIiLSE99bk7u49TMXiYiIiIiIiIiISC4uLhIREREREREREZFTuLhIRERERERERERETuHiIhERERERERERETlF28XF5UuXILLFE6hXuzq6demEP+LjPXau7ll1769qrpSZquZKmalqrqqsAPDZ3DmoU70KJk983yXzJPWXkHXlimXoHNUWEeFhiAgPQ49uz+OnH3/Ic04VWVXNVDVXykxVc6XMVDVX96y691c1V8pMVXOlzFQ1V/es7K93f1VzpcxUNVfZ74GGG50+fdq4fPmy/fIPP/xgdO3a1YiIiDC6detm/PLLL07NTbuV9bZ6zbdGSEiIsWzll8b+Q0eN6GEjjLC6dY0zFxKyvW9+z9U9q+79JWVl/4Ld/4bFlqNt5559RrPmzY1nW7cxYsa+l+3tpfSXdKxSLLYst3XfbTI2bNxqHPzzuHHwyF/GxMlTjWrVQoz4A0eyvJ+U/pKOFfuzf0HJqnt/SVnZX+/+krKyv979JWUt6P1zyq2Li/Xr1ze++eYbwzAM4+uvvzbMZrPRtm1bY8iQIUaHDh2MwoUL26/Pjeye0KjnOhojY8bYL6dYrEajiAhjZtzsPB18FXN1z6p7f0lZ2b9g98/JwuKl5OvGUy1aGJu3/WS80LWbSxYXPaW/pGOV3eLivba6desZi5etzNPioqf0l3Ss2J/9C0pW3ftLysr+eveXlJX99e4vKWtB759Tbv2z6AMHDiAkJAQAEBsbi/fffx///e9/MWHCBKxatQoffPABRo0a5dLHvJWejkMHDyC8QUP7PrPZjPDwhojf95tHzdU9q+79JWVlf7373zFh/FhENG6GxzPMzgtJ/SVlzchqtWLD+m+RlpaKGjVrOT1HUn8pWdlf7/6SsureX1JW9te7v6Ss7K93f0lZde+fkVsXFwsVKoTr168DAE6cOIHIyEiH6yMjI3HkyJEsZ1gsFly7ds1hs1gsmd4++UoyrFYr/P39Hfb7+/sjISHBySZq5uqeVff+krKyv979AeC79d/i8MGDePPtgU7P+DdJ/SVlBYCjfx5Bw/p18HhYDYwfNxpTp89ExYqVnJ4nqb+UrOyvd39JWXXvLykr++vdX1JW9te7v6SsuvfPyK2Li02bNsWyZcsAALVr18a2bdscrt+6dSseffTRLGfExsbC19fXYZs8MVZVZCIi+pcLF85j8oT38d6EKfD29nZ3HMqBcuXLY/mXq/H5khXo1LkLRo0Yir/+OubuWEREREREJFAhdz74hAkT0LhxY5w7dw4REREYPnw4du3ahapVq+LIkSNYsWIFZs2aleWM6OhoDBzoeKaM4ZX5L7d+Jf3g5eWFxMREh/2JiYkICAhwuouKubpn1b2/pKzsr3f/QwcOICkpEd2ej7Lvs1qt2LtnN1YuW4Ide+Lh5eXlEVl1P1Z3FC5cBGXKlAUAVAsJxYH9+7Fs8ecYETPWY7LqfqzYX+/+krLq3l9SVvbXu7+krOyvd39JWXXvn5Fbz1ysWrUqdu7cifT0dEyaNAkpKSlYsmQJRo8ejWPHjmH58uV48cUXs5zh7e0NHx8fhy2rM2cKFymCqtVCsHPHdvs+m82GnTu3o0bN2k53UTFX96y695eUlf317l8/PBwrV63Bsi9W27dqIaGIfLYNln2x2qmFRVVZdT9WmTEMG9LT052+v6T+UrKyv979JWXVvb+krOyvd39JWdlf7/6SsurePyO3nrkIABUrVsSyZctgGAYuXboEm82GgIAAFC5cWNljdu/ZCyOHDUFISChCq9fA4kULkZaWhvYdorK/cz7P1T2r7v0lZWV/ffsXK1YclSoHOey777774Fuy5F373Z1V1UxJWWdMn4pGEU0QGBiIlJQUrF+3Frt3/Yq4WXOdnqkqq+7Hiv317i8pq+79JWVlf737S8rK/nr3l5RV9/53uH1x8Q6TyYSHH37YYd/p06cRExOD+fPnu/SxWka2QnJSEuJmzkBCwmUEV6mKuNlz4Z/HU0FVzNU9q+79JWVlf737qyKpv5SsSUlJGDl8CBIuX0bxEiVQuXIw4mbNRXjDRk7PVJVV92PF/nr3l5RV9/6SsrK/3v0lZWV/vftLyqp7/ztMhmEYeZ6iyL59+1CnTh1YrdZc3e/mbUWBiIg0ZbWp+VHhZTYpmaszm6JjZeaxIiIiIiLSStEcnpLo1jMX16xZk+X1x48fz6ckRERERERERERElFtuPXPRbDbDZDIhqwgmk4lnLhIRuRnPXJSDZy4SEREREZEr5PTMRbd+W3RgYCBWrVoFm812z23v3r3ujEdERERERERERERZcOviYlhYGPbs2ZPp9dmd1UhERERERERERETu49bPXBw0aBBSUlIyvb5SpUrYunVrPiYiIiIiIiIiIiKinPLob4t2Fj9zkYhIhiPnr7t8ZnBgCZfPlOSW1aZkbmEvt/6xAxERERER5TMRn7lIREREREREREREcnFxkYiIiIiIiIiIiJzCxUUiIiIiIiIiIiJyChcXiYiIiIiIiIiIyCnaLi4uX7oEkS2eQL3a1dGtSyf8ER/vsXN1z6p7f1VzpcxUNVfKTFVzPT3r18sWoPNTdbEgbupd1xmGgfej+6PzU3Xx68/b3JozP+a6eualixcxMnownmwcjkb1auH5qLY4eGB/nnOqyKpqpqq5Umaqmitlpqq5umfVvb+quVJmqporZaaqubpnZX+9+6uaK2Wmqrmqsrp1cXHq1Kk4efJkvj/uhvXrMGVSLPq83g/Lv1iN4OAqeK3Py0hMTPS4ubpn1b2/pKzsr3d/V849dvgANn67CmUrVL7n9d9+tRQmk/tz5sdcV8+8du0qXu7ZFYUKFcKHcXOwcvVaDHh3CHx8fJzOqCqrqpmSsrK/3v0lZdW9v6Ss7K93f0lZ2V/v/pKy6t7fznAjk8lkeHl5GU899ZSxfPlyw2KxuGRu2q2st6jnOhojY8bYL6dYrEajiAhjZtzsbO+b33N1z6p7f0lZ2V/v/s7O/f3UNYdtx5ELRtPmTxmfr95otO/YxXh7aIzD9V9v2WWEN4wwtv1+3AgKCjLmLFtz1wxJ/VXMvHbTmuk2fsIko/PzL2R5m8w2Kf0lHSv2Z/+CklX3/pKysr/e/SVlZX+9+0vKWtD755Tb/yx67ty5KFasGLp3745SpUrh7bffxv79rvnzrHu5lZ6OQwcPILxBQ/s+s9mM8PCGiN/3m0fN1T2r7v0lZWV/vfu7cu7cGRNR+/FGqBH2+F3XWW7exIfvj8DLbw5GyQcC3JozP+aqmPnDtq2oGhKCIe+8jRZNG6Fr5yis/nKlU7NUZ9X9WLG/3v0lZdW9v6Ss7K93f0lZ2V/v/pKy6t4/I7cvLrZq1Qpff/01zpw5g8GDB+O7775DzZo1Ub9+fXz66ae4fv16lve3WCy4du2aw2axWDK9ffKVZFitVvj7+zvs9/f3R0JCgtM9VMzVPavu/SVlZX+9+7tq7s9bv8OJo4fR9ZU37nn9wk+mIjikBuo1aubWnPk1V8XMs2dO46uVy1GmTFl8NOtTdOzcBVMmvo+1//3aqXkqs+p+rNhf7/6SsureX1JW9te7v6Ss7K93f0lZde+fkdsXF+946KGHMHjwYBw6dAjbtm1DtWrVMGDAAAQGBmZ5v9jYWPj6+jpskyfG5lNqIiJyhYRLF7Dg46noP+w9FCnifdf1u3/5H/b/vhsvvv6OG9IVHDabgSpVq6HfWwNQpWo1RHXsjPbPdcJXXyx3dzQiIiIiIhKqkDsf3JTJJ/I3btwYjRs3xowZM7BixYosZ0RHR2PgwIEO+wyvu38xvcOvpB+8vLzu+sDKxMREBAQ492d2qubqnlX3/pKysr/e/V0x9/jRw7h6JQlD+v7Hvs9ms+LQH79hw9cr8XSb53Dx3Bm82K65w/2mjhmMqqG1MPqDOfmSMz/nqpgZ8GAAyleo6LCvfPkK2LLpe6fm3SGlv6Ss7K93f0lZde8vKSv7691fUlb217u/pKy698/IrWcuGoaR5fU+Pj7o3bt3lrfx9vaGj4+Pw+btnfniYuEiRVC1Wgh27thu32ez2bBz53bUqFk7dwUUz9U9q+79JWVlf737u2Ju9dr1MOXT5Zg0e4l9qxhUDRFPtsSk2UsQ1e0lTJ6zzOF6AOj52kC8Pigm33Lm51wVM2vWqoOTf//tsO/kyb8RGFjKqXl3SOkvKSv7691fUlbd+0vKyv5695eUlf317i8pq+79M3LrmYs2m80tj9u9Zy+MHDYEISGhCK1eA4sXLURaWhrad4jyuLm6Z9W9v6Ss7K93/7zOve/+YihTvpLDPu+iRVHCp6R9/72+xCXgoUfwUOCj+ZYzv+e6embX7j3xUo+umP/pbLR4piUO/PEHVn/5BYbHjHE6o6qsqmZKysr+eveXlFX3/pKysr/e/SVlZX+9+0vKqnv/O9y6uJid06dPIyYmBvPnz3fp3JaRrZCclIS4mTOQkHAZwVWqIm72XPjn8VRQFXN1z6p7f0lZ2V/v/irnupqk/q6eGRJaHVOmzcDMD6dh7uw4lHq0NN4ZPBSRz7ZxOqOqrKpmSsrK/nr3l5RV9/6SsrK/3v0lZWV/vftLyqp7/ztMRnZ/m+xG+/btQ506dWC1WnN1v5u3FQUiIiKXOnL+ustnBgeWcPlMSW5Z1fxVQGEvj/kOOCIiIiIiygdFc3hKolvPXFyzZk2W1x8/fjyfkhAREREREREREVFuufXMRbPZDJPJlOUXu5hMJp65SERUQPHMRdfjmYtEREREROQKOT1z0a2/KQQGBmLVqlWw2Wz33Pbu3evOeERERERERERERJQFty4uhoWFYc+ePZlen91ZjUREREREREREROQ+bv3MxUGDBiElJSXT6ytVqoStW7fmYyIiIiIiIiIiIiLKKY/+tmhn8TMXiVxPxb8UJpPrZxIRERERERFR3on4zEUiIiIiIiIiIiKSi4uLRERERERERERE5BQuLhIREREREREREZFTuLhIRERERERERERETtF2cXH50iWIbPEE6tWujm5dOuGP+HiPnat7Vt37q5rr6pl7du9C/3590aJ5BGqFBmPL5k15zniHhP6qZqqaq3tW9te7v6q5Umaqmitlpqq5umfVvb+quVJmqporZaaqubpnZX+9+6uaK2WmqrmqssJws2+++cYYOXKk8dNPPxmGYRibN282IiMjjWeeecaYPXu2UzPTbmW9rV7zrRESEmIsW/mlsf/QUSN62AgjrG5d48yFhGzvm99zdc+qe39PypqanvX2/eZtxqQpHxhr131vBAUFGWvXb8z2PpL66378C1JW9te7v6Ss7K93f0lZde8vKSv7691fUlb217u/pKwFvX9OuXVxcdasWUahQoWMsLAww8fHx1i0aJFRokQJ45VXXjH69Olj3Hfffcb06dNzPTe7JzTquY7GyJgx9sspFqvRKCLCmBk3O08HX8Vc3bPq3t+Tsma3UJhxc+Xioqf01/34F6Ss7K93f0lZ2V/v/pKy6t5fUlb217u/pKzsr3d/SVkLev+ccuufRc+YMQNxcXHYvXs3vv76a/Tu3RsTJkzAp59+ilmzZiEuLg6zZ8926WPeSk/HoYMHEN6goX2f2WxGeHhDxO/7zaPm6p5V9/7SsqogpT+Pv5ys7K93f0lZ2V/v/pKy6t5fUlb217u/pKzsr3d/SVl175+RWxcXT5w4gWeeeQYA0Lx5c1itVjRp0sR+fbNmzXDy5EmXPmbylWRYrVb4+/s77Pf390dCQoJHzdU9q+79pWVVQUp/Hn85Wdlf7/6SsrK/3v0lZdW9v6Ss7K93f0lZ2V/v/pKy6t7//7F39/E11/0fwF9nw6bZZjZpEgm7sbnvZhiiyJKbSYlCKj/hSjfSmpIIc5toTSSlFFHpktzfpa5YWUWYmy43Q8zuGNvZGed8fn+4nHZid+ecz8757PN6Ph7fx3Xte87e5/U637Mbn777nqJcurgYGBhoXTz866+/cOXKFaSlpVlvP3HiBGrVqlXiDJPJhNzcXJvNZDJJzU1EREREREREREQuXlzs3bs3nn76aUyZMgWxsbEYPHgwxowZg/Xr12PDhg147rnn0K1btxJnJCQkwN/f32abOT2h2PsH1AyAp6cnsrKybPZnZWUhKCjI7i4y5uqeVff+qmWVQZX+PP7qZGV/vfurlJX99e6vUlbd+6uUlf317q9SVvbXu79KWXXvX5RLFxenT5+Oe++9F8uXL0fLli2xcOFCPP300+jduzdiYmIQGBiIhITiFwoBID4+HhcuXLDZxsbFF3v/qtWqIbxpBJJ37bTus1gsSE7eieYtWtndRcZc3bPq3l+1rDKo0p/HX52s7K93f5Wysr/e/VXKqnt/lbKyv979VcrK/nr3Vymr7v2LquLwBAf4+Phg4cKFNvtefvll/Otf/8Lly5fh6+tb6gwvLy94eXnZ7Cu4UvLnDBoyFOPHxSEiIhKRzZpj6adLYDQa0Se2b7k7yJ6re1bd+6uUNT8/z+ayBqdPn8LBg6nw9/dHcHBdt8qqykxmVWemSll1769SVvbXu79KWXXvr1JW9te7v0pZ2V/v/ipl1b3/NS5dXCyOt7c3vL29cfLkSUyYMAGLFy926vzuMQ8iJzsbSYnzkJmZgdCwcCQtWIRAB08FlTFX96y691cp6/59+zDsqcHWj2fPuHrWcc/esXhryjS3yqrKTGZVZ6ZKWXXvr1JW9te7v0pZde+vUlb217u/SlnZX+/+KmXVvf81BiGEcHiKJHv27EHr1q1hNpvL9XmlnblIROUn4zuFweD8mURERERERETkOO8ynpLo0jMXV69eXeLtR48eraAkREREREREREREVF4uPXPRw8MDBoMBJUUwGAw8c5HIDfDMRSIiIiIiIiJ9lPXMRZe+W3RwcDC+/vprWCyWG26//vqrK+MRERERERERERFRCVy6uNimTRukpKQUe3tpZzUSERERERERERGR67j0motjx45FXl5esbc3btwY27Ztq8BEREREREREREREVFZu/W7R9uI1F4mIyJl2/jdLyty2jQKdPtMi6ce6By+SSkRERESkFSWuuUhERERERERERETq4uIiERERERERERER2YWLi0RERERERERERGQXLi4SERERERERERGRXbi4SERERERERERERHZx+eKi0WjE4sWL8dRTTyEmJgY9evTAc889hy1btkh93OWff4aYrl1wV6tmePyxR/DH3r1uO1f3rLr3lzVXlZmy5qoyU9Zc3bM6OjMnKwOLZ7+JMY93x3P97sWk557AiSOp1tt/+2k75r7xPMY83h3P9mqHk0cPuyzrP334wQI83r8f2t/dGl06tsOLo0fh+LGjDs2UlVXWTFlzVZkpa64qM2XN1T2r7v1lzVVlpqy5qsyUNVf3rOyvd39Zc1WZKWuurKwQLnTkyBHRoEEDcfPNN4vbbrtNGAwG0aNHD3HPPfcIT09P8cgjj4jLly+Xe67xcsnbqtXfiYiICLFsxZdiX+oRET/uddHmzjvFqbOZpX5uRc/VPavu/VXKyv5691cpqz0ztx7MtG7f7j4qoqI7iiEjXhAfrt4hVmzfKxKXfSe+2Pa79T5T538qxrw5Q0yat1iEhISIJWt/splxbZORNa/QUuL25NCnxLIVX4q9Bw6JX/ceEE89PUx07HSvyDx/qcTPU+VYqfS6Yn/2ryxZde+vUlb217u/SlnZX+/+KmWt7P3LyqWLizExMWL48OHCYrEIIYSYNm2aiImJEUIIcfjwYXH77beLCRMmlHtuaU9o34f7ifETJlo/zjOZRfvoaJGYtMChgy9jru5Zde+vUlb217u/SlntmVl0QfC5+EniwT6P3HCx8J/biu//cGhx0Z6spS0u/nM7eTZThISEiB0/JTu0uOgux0ql1xX7s39lyap7f5Wysr/e/VXKyv5691cpa2XvX1Yu/bPo77//HmPGjIHBYAAAvPjii9i8eTOysrLQpEkTvPPOO1iyZIlTH/NyYSFSD+xHVNt21n0eHh6IimqHvXt+c6u5umfVvb9KWdlf7/4qZXXGzD0//4j6jcOwcNprGDvoQUx5fgh+2PBvu/LIzloWly5dBAD4+/vbPcNdj5XKWdlf7/4qZdW9v0pZ2V/v/iplZX+9+6uUVff+Rbl0cbFmzZq4ePGi9eP8/HxcuXIF1apVAwA0b94cZ86cKXGGyWRCbm6uzWYymYq9f875HJjNZgQGBtrsDwwMRGZmpt1dZMzVPavu/VXKyv5691cpqzNmZp79CzvWrcLNdW/Dc2/OQceYWKz4YA52bllrVyaZWUtjsVgwa9pUtGzVGo2bhNg9x12PlcpZ2V/v/ipl1b2/SlnZX+/+KmVlf737q5RV9/5FuXRxsWvXrnjppZdw8OBBHDt2DM8++yxatmwJX19fAEBaWhpuvvnmEmckJCTA39/fZps5PaEi4hMRkYaEsKB+oxD0Gfws6jcKRYfufRDdrRd2rF/l6mjlljB5Ev788wimzXzb1VGIiIiIiEhRVVz54DNmzEDv3r3RtGlTGAwG3HbbbVi16u9/nGVkZGDs2LElzoiPj8dLL71ks094ehV7/4CaAfD09ERWVpbN/qysLAQFBdnRQt5c3bPq3l+lrOyvd3+Vsjpjpn9AIIJva2iz75Z6t+PXn7bblak4so7VNdOmTMIP32/Hh0uWos4ttzg0y12PlcpZ2V/v/ipl1b2/SlnZX+/+KmVlf737q5RV9/5FufTMxZtvvhk7d+7EoUOHsGfPHvz5559o1aqV9fZ+/frhueeeK3GGl5cX/Pz8bDYvr+IXF6tWq4bwphFI3rXTus9isSA5eSeat2hV7OeVRsZc3bPq3l+lrOyvd3+VsjpjZqPw5kg/nWazL/2vkwi82bEFOhlZb0QIgWlTJmHrls1YsPhj3Fqvnltm5WuV/XXur1JW3furlJX99e6vUlb217u/Sll171+US89cvKZJkyY33H/y5ElMmDABixcvdurjDRoyFOPHxSEiIhKRzZpj6adLYDQa0Se2r9vN1T2r7v1Vysr+evdXKaujM+/r3R8zXhmOdSuWoE30fTh+5AB+3PBvPD4qznqfvIu5yM44i/PZV69fcm0x0i8gEP4BgTecKyPrjSRMnoR1a9dgzrz34OPjg8zMDABAjRq+8Pb2tnuuOx4r1bOyv979Vcqqe3+VsrK/3v1Vysr+evdXKavu/a9xi8XF4mRnZ2PJkiVOX1zsHvMgcrKzkZQ4D5mZGQgNC0fSgkUIdPBUUBlzdc+qe3+VsrK/3v1VyurozNubNMWz46bhm0/m47svPkJQnWA88szzuOfeB6z32fPzD/hk7hTrx4tmvgEA6PHYU+g58JkKy3ojK79YBgAYNnSwzf6Jk6eiVx/7f7Fwx2Olelb217u/Sll1769SVvbXu79KWdlf7/4qZdW9/zUGIYRweIqdVq9eXeLtR48exZgxY2A2m8s1t+CKI6mIiIhs7fxvVul3skPbRmU/i7GsLJJ+rHsYDFLmEhERERGRe/Iu4ymJLj1zsU+fPjAYDChpfdPAf8wQERERERERERG5JZe+oUtwcDC+/vprWCyWG26//vqrK+MRERERERERERFRCVy6uNimTRukpKQUe3tpZzUSERERERERERGR67j0z6LHjh2LvLy8Ym9v3Lgxtm3bVoGJiIiIiIiIiIiIqKxc+oYusvANXYiIyJn4hi58QxciIiIiIt2U9Q1duLhIRETkIgWXzU6fWdVTzhVPPD24uEhERETkzmSs7vC/L+utrIuLLr3mIhEREREREREREamLi4tERERERERERERkFy4uEhERERERERERkV24uEhERERERERERER2cYvFxZ9//hlz585FfHw84uPjMXfuXPz8889SH3P5558hpmsX3NWqGR5/7BH8sXev287VPavu/WXNVWWmrLmqzJQ1V/esqvTPy8vD2zMS0DvmPnS8pxWeGTwQB/b94ZSsAPDRooVo3SwMM6dPdco8nY+VSjNlzVVlpqy5umfVvb+suarMlDVXlZmy5uqelf2dOzNl9y8YPepZdO0cjZaRodi6ZbPDGa/hsdK7PwBAuFB6erqIjo4WBoNBNGjQQNx9993i7rvvFg0aNBAGg0FER0eL9PT0cs81Xi55W7X6OxERESGWrfhS7Es9IuLHvS7a3HmnOHU2s9TPrei5umfVvb9KWdlf7/4qZXWn/jn5V0rcRv5rtHige4zY+sMusffgf8WM2e+IVq1bi0PHThf7OZdMljJtySl7xL2dO4seD/UUEyZNLvX+uh+ryjJTpay691cpq+79VcrK/nr3Vykr+9s3M7+w+G3jlu1ixqy3xZq1G0VISIhYs25Tife/tvFY6d2/rFy6uPjwww+Ltm3bioMHD15328GDB0W7du1Ev379yj23tCe078P9xPgJE60f55nMon10tEhMWuDQwZcxV/esuvdXKSv7691fpazu1L+khcUz2ZdEeHi4+Hb9Fpv9PXv3EQkzZju0uHgu56K4v2tXsWX7j2LAwMedsrhY2Y9VZZmpUlbd+6uUVff+KmVlf737q5SV/e2bWZbFwvxC4dTFRR6ryt2/rFz6Z9EbNmzAe++9h9DQ0OtuCw0Nxbx587B+/XqnPublwkKkHtiPqLbtrPs8PDwQFdUOe/f85lZzdc+qe3+VsrK/3v1VyqpSf7PZDLPZDC+vajb7vby8see3X+3OCgDTpkxCdId7cU+RvI7Q/VipMlOlrLr3Vymr7v1Vysr+evdXKSv7y+kvA4+V3v2LcuniopeXF3Jzc4u9/eLFi/Dy8ipxhslkQm5urs1mMpmKvX/O+RyYzWYEBgba7A8MDERmZmb5Ckieq3tW3furlJX99e6vUlaV+vv4+KBZ85ZYvPB9ZJw7B7PZjHXfrca+vb8jMzPD7qwb1n2HgwcO4LkXXrJ7xj/pfqxUmalSVt37q5RV9/4qZWV/vfurlJX95fSXgcdK7/5FuXRxsX///hgyZAhWrVpls8iYm5uLVatWYejQoRgwYECJMxISEuDv72+zzZyeIDs6ERGRdG9OmQYBgYe63YsOd7fEis8/Q7fuD8LDw74f32fPnsHMaVMxedqsUv/jHRERERERUVlUceWDv/3227BYLHjsscdw5coVVKt29U+/CgsLUaVKFTz99NOYNWtWiTPi4+Px0ku2Z18Iz+L/wRRQMwCenp7Iysqy2Z+VlYWgoCA7m8iZq3tW3furlJX99e6vUlaV+gNAvdvq4/0PP4HRmI+8S3kIql0br73yEureWs+uean79yM7OwuP9+9r3Wc2m/Frym6sWPYZdqXshaenZ7nn6n6sVJmpUlbd+6uUVff+KmVlf737q5SV/eX0l4HHSu/+Rbn8z6Lnz5+PjIwMbN68GYsXL8bixYuxefNmZGRkICkpqdQzK7y8vODn52ezlfQ5VatVQ3jTCCTv2mndZ7FYkJy8E81btLK7i4y5umfVvb9KWdlf7/4qZVWpf1HVq9+EoNq1kZt7Abt++g863tvFrjl3R0VhxdersWzlKuvWNCISMT16YtnKVXYtLAI8VqrMVCmr7v1Vyqp7f5Wysr/e/VXKyv5yf690Jh4rvfsX5dIzF6/x8/ND586dK+zxBg0ZivHj4hAREYnIZs2x9NMlMBqN6BPbt/RPruC5umfVvb9KWdlf7/4qZVWp/66ffoQQAg1ub4iTaWl4d85MNGjYED17x9o1z8enBho3CbHZV716dfjXrHnd/vLS/VipMlOlrLr3Vymr7v1Vysr+evdXKSv7O39mfn4e0tLSrB+fPn0KBw+mwt/fH8HBdd0qq6y5qsxULSvgBouLRqMRKSkpqFWrFpo2bWpzW0FBAVasWIHBgwc79TG7xzyInOxsJCXOQ2ZmBkLDwpG0YBECHTwVVMZc3bPq3l+lrOyvd3+VsqrU/9LFi0h69x2cSz8LP39/dL6vG0b863lUqVrVoawy6H6sVJmpUlbd+6uUVff+KmVlf737q5SV/Z0/c/++fRj21N9rK7NnXH2vip69Y/HWlGlulVXWXFVmqpYVAAxCCOHwFDsdPnwY3bp1Q1paGgwGA6Kjo7Fs2TLUrXt11Tw9PR1169aF2Wwu19yCKzLSEhEROVfB5fL9fCuLqp5yrnji6WGQMpeIiIiInEPG6o6BvwJqzbuMpyS69JqLcXFxiIyMxLlz53Do0CH4+voiOjra5lRdIiIiIiIiIiIick8uPXOxTp062Lx5M5o1awYAEEJg5MiRWLt2LbZt2wYfHx+euUhERJUWz1wkIiIiImfhmYvkbEqcuWg0GlGlyt9JDQYD5s+fj549e6JTp044fPiwC9MRERERERERERFRSVz6hi5hYWHYvXs3wsPDbfYnJiYCAHr16uWKWERERERERERERFQGLj1zMTY2FsuWLbvhbYmJiRgwYABc+FfbREREREREREREVAKXXnNRFl5zkYiIdBVw17+kzM35JVHKXCIiIiIick9KXHORiIiIiIiIiIiI1MXFRSIiIiIiIiIiIrILFxeJiIiIiIiIiIjILlxcJCIiIiIiIiIiIru49eJiTk4OPvnkEymzl3/+GWK6dsFdrZrh8ccewR9797rtXN2z6t5f1lxVZsqaq8pMWXN1z1pZ+3sagB+XjsW5H2fhxJYErHh7GJo0uNl6e4DfTXg77hHsWTUe2TvfxuG1kzD7lX7wq+FtvU8tfx/8O3Ekjm6cgvPJc3Bk3VuYE/eI07OWVWU9Vq6cKWuuKjNlzdU9q+79Zc1VZaasuarMlDVX96zsr3d/WXNVmSlrrqysEG7s999/Fx4eHuX+POPlkrdVq78TERERYtmKL8W+1CMiftzros2dd4pTZzNL/dyKnqt7Vt37q5SV/fXur1LWytz/ilmIZ8Z/Ilr1fUvc9ehUsXbHH+LEX1miVtSLwrvlKNH64cli1ebfRN/R80X4QxPEA8PmisPH08XXm34V3i1HCe+Wo8QtHV4Wz01ZJtoNnC5CYl4X3f9vrjh49Iy4Ynb//iodK/Zn/8qUVff+KmVlf737q5SV/fXur1LWyt6/rFy6uHjhwoUStx9++EHK4mLfh/uJ8RMmWj/OM5lF++hokZi0wKGDL2Ou7ll1769SVvbXu79KWSt7/2uLhN4tR4l6neOEEELc99TbNvuLbgNfXiQKTIXCp81zxd7npekrhMWiRn+VjhX7s39lyap7f5Wysr/e/VXKyv5691cpa2XvX1Yu/bPomjVrIiAgoNitY8eOTn/My4WFSD2wH1Ft21n3eXh4ICqqHfbu+c2t5uqeVff+KmVlf737q5RVt/7X/tw550J+8ffx9UZuXgHMZssNbw+u7Y/eXVrCIuRmrYiZKmVlf737q5RV9/4qZWV/vfurlJX99e6vUlbd+xfl0sVFX19fJCQkYOvWrTfcFi5cWOoMk8mE3Nxcm81kMhV7/5zzOTCbzQgMDLTZHxgYiMzMTLu7yJire1bd+6uUlf317q9SVp36GwwGzHy5H3767b848N8zN7xPYE0fxA+LweKvfrrutiUJTyLrp7dxdOMU5OYV4PKN1x6dkrWiZqqUlf317q9SVt37q5SV/fXur1JW9te7v0pZde9fVBWHJzigdevWAIBOnTrd8PaaNWtCiBJOlQCQkJCAiRMn2ux7bfwEvP7Gm07JSEREpKJ34h9FRONg3Dd0zg1v9/Xxxqp5I5B69AwmL/juuttfmfUVpixYhyYNbsak53qhigdwpYQFRiIiIiIi0pNLFxcHDhwIo9FY7O233HILJkyYUOKM+Ph4vPTSSzb7hKdXsfcPqBkAT09PZGVl2ezPyspCUFBQGVJX3Fzds+reX6Ws7K93f5Wy6tJ/TtwjeLBDJO5/+h2cPnf+uttr3OSF1e+NxMX8AvR/6QNcucGqYXrWRaRnXcTh4+nIuZCHLR+9VOziorv1r+i5qsxUKavu/VXKqnt/lbKyv979VcrK/nr3Vymr7v2LcumfRQ8bNgyjR48u9vY6deqUurjo5eUFPz8/m83Lq/jFxarVqiG8aQSSd+207rNYLEhO3onmLVqVv4TEubpn1b2/SlnZX+/+KmXVof+cuEfQq0sLdB8+Dyf+yrrudl8fb6yZ/y8UXjaj3wsLYCq8UmoWg4fh6v86OWtJdDhWFT1Tpay691cpq+79VcrK/nr3Vykr++vdX6WsuvcvyqVnLrrKoCFDMX5cHCIiIhHZrDmWfroERqMRfWL7ut1c3bPq3l+lrOyvd3+Vslbm/lU8gMd63IVHXlyIS3kFqBPoCwC4cKkABabLVxcWk0ahunc1DH1tCfx8vOHnc/VNXzJyLsFiEXgguiluruWHlP0ncCnfhKaNgjH1xT6wCKCkC5W4Q39XzlVlpkpZde+vUlbd+6uUlf317q9SVvbXu79KWXXvf43LFxeNRiNSUlJQq1YtNG3a1Oa2goICrFixAoMHD3bqY3aPeRA52dlISpyHzMwMhIaFI2nBIgQ6eCqojLm6Z9W9v0pZ2V/v/iplrcz9q3gANX1vwqZFL9jsH/bGp1j6bTJaht2Gu5s3BAAc+PZNm/uEPvgG0s5kw1hwGU/1bYcZL/eFV9UqOJV+Hv/e+jsa1g92+/6unKvKTJWy6t5fpay691cpK/vr3V+lrOyvd3+Vsure/xqDKO0dUyQ6fPgwunXrhrS0NBgMBkRHR2P58uUIDr76D5j09HTUrVsXZrO5XHMLSv8LLyIiokop4K5/SZmb80uilLlEREREROSevMt4SqJLr7kYFxeHyMhInDt3DocOHYKvry/at2+PtLQ0V8YiIiIiIiIiIiKiMnDp4uJPP/2EhIQEBAUFoXHjxvj222/xwAMPoEOHDjh69KgroxEREREREREREVEpXLq4aDQaUaXK3+dYGgwGzJ8/Hz179kSnTp1w+PBhF6YjIiIiIiIiIiKikrj0DV3CwsKwe/duhIeH2+xPTLx6XadevXq5IhYRERERERERERGVgUvPXIyNjcWyZctueFtiYiIGDBgAF77fDBEREREREREREZXApe8WLQvfLZqISA0yfgIZDM6fqZKLkn4Ield1/n+PrOrp0v/GSURERFSp8HdrcjYl3i2aiIiIiIiIiIiI1MXFRSIiIiIiIiIiIrILFxeJiIiIiIiIiIjILlxcJCIiIiIiIiIiIru4xeKixWIpdn9aWpqUx1z++WeI6doFd7VqhscfewR/7N3rtnN1z6p7f1lzVZkpa64qM2XNVSVryu5fMHrUs+jaORotI0Oxdctmt8wpc66jM3//dTdeeWEkej9wL6LbRGDHti3F3nfm1ImIbhOBFZ9/Uu6c59LTMT7+FdzXIQrt72qJ/n174cD+feWe8086HauKmilrriozZc3VPavu/WXNVWWmrLmqzJQ1V/es7K/G79UAj5Xu/QEXLy7m5ubi0UcfhY+PD+rUqYM33ngDZrPZentGRgYaNmzo9Mddv24tZs1IwPCRo7B85SqEhoZhxPCnkZWV5XZzdc+qe3+VsrK/3v1lzTUa8xESGor41yY4lE12TllznTHTaDSicUgoXop7vcT7fb91M/b/sQdBtW8ud87c3At4eshAVKlSBXOTFmLFqjV48eU4+Pn5lXtWUbodq4qYqVJW3furlFX3/iplZX+9+6uUlf3V+L0a4LHSvb+VcKHRo0eLkJAQsXLlSvHBBx+IBg0aiB49egiTySSEEOLs2bPCYDCUe67xcslb34f7ifETJlo/zjOZRfvoaJGYtKDUz63oubpn1b2/SlnZX+/+9s7NLyz7FhISItas21Tq/VTqL2PmuYuXi91CQkLEl6vXX7d//39PifbRHcSu31NFx073isQFH153n9wCc7HblGkzxKP9B5R4nxttuh8r9mf/ypJV9/4qZWV/vfurlJX97Zvp7N+r+bs1+5eVS89c/Oabb7BgwQL069cPzzzzDHbv3o2MjAz07NkTJpMJAGAwGJz6mJcLC5F6YD+i2raz7vPw8EBUVDvs3fObW83VPavu/VXKyv5695c519lU6l9Rz6nFYsFb41/FgEFDcUejxnbN2LF9G8IjIhA35gV07dQeAx/ti1VfrnAol+7Hiv317q9SVt37q5SV/fXur1JW9lfj92qAx0r3/kW5dHExIyMDDRo0sH4cFBSEzZs34+LFi3jwwQeRn5/v9MfMOZ8Ds9mMwMBAm/2BgYHIzMx0q7m6Z9W9v0pZ2V/v/jLnOptK/SvqOf3s4w/h6VkFjwx4wu4Zp0+dxFcrlqN+/QZ49/0P0O/RxzBr+lSs+fc3ds/U/Vixv979Vcqqe3+VsrK/3v1Vysr+avxeDfBY6d6/qCoOT3BA/fr1kZqaanNdRV9fX2zcuBHdunVDbGxsqTNMJpP1LMdrhKcXvLy8nJ6XiIioMjmYuh8rl3+KxZ996dBfClgsAk0jIjDq+RcBAGHhTfHfP4/gq5XL8VDvPk5KS0RERERE7silZy5269YNH3300XX7a9SogQ0bNsDb27vUGQkJCfD397fZZk5PKPb+ATUD4Onped0FK7OyshAUFFT+EhLn6p5V9/4qZWV/vfvLnOtsKvWviOd0728pyMnOxsM97kenu5uj093NcfbMX0icMxP9Hupa5jlBtYPQ8I5GNvsaNrwDZ8+esTub7seK/fXur1JW3furlJX99e6vUlb2V+P3aoDHSvf+Rbl0cXHixIl48803b3ibr68vNm3ahK1bt5Y4Iz4+HhcuXLDZxsbFF3v/qtWqIbxpBJJ37bTus1gsSE7eieYtWtnVQ9Zc3bPq3l+lrOyvd3+Zc51Npf4V8Zw+8GAvLFm+Ch99/pV1C6p9MwYMGoq3ExeWeU6Llq1x4vhxm30nThxHcHBdu7PpfqzYX+/+KmXVvb9KWdlf7/4qZWV/NX6vBnisdO9flEv/LDogIAABAQHF3u7r64tOnTqVOMPL6/o/gS64UvLjDhoyFOPHxSEiIhKRzZpj6adLYDQa0Se2b5mzV9Rc3bPq3l+lrOyvd39Zc/Pz85CWlmb9+PTpUzh4MBX+/v52L1yp1N8ZM/Pz83D65N/P4Zm/TuHIoVT4+vnjluC68K9Z0+b+VapUQWBQEOrf3hBlNXDQEDw1eCAWf7AAXR/ojv1//IFVX67EaxMmlnnGjeh2rCpipkpZde+vUlbd+6uUlf317q9SVvZX4/dqWVllzVVlpmpZARcvLgKA0WhESkoKatWqhaZNm9rcVlBQgBUrVmDw4MFOfczuMQ8iJzsbSYnzkJmZgdCwcCQtWIRAB08FlTFX96y691cpK/vr3V/W3P379mHYU3//DJg94+plL3r2jsVbU6a5TU5Zc50x8+CB/Rg9fKj143ffngEAiHmoN16bONXubEVFRDbDrDnzkDh3DhYtSELdW+thzCuvIqZHT4fm6nasKmKmSll1769SVt37q5SV/fXur1JW9lfj92pZWWXNVWWmalkBwCCEEA5PsdPhw4fRrVs3pKWlwWAwIDo6GsuXL0dwcDAAID09HXXr1oXZbC7X3NLOXCQiIvcg4yeQA+9LUilclPRD0Luq86+kUtXTpVdnISIiIqpU+Ls1OZt3GU9JdOlv9XFxcYiMjMS5c+dw6NAh+Pr6on379jan6hIREREREREREZF7cumZi3Xq1MHmzZvRrFkzAIAQAiNHjsTatWuxbds2+Pj48MxFIqJKjP911fl45iIRERGRnvi7NTmbEmcuGo1GVKnyd1KDwYD58+ejZ8+e6NSpEw4fPuzCdERERERERERERFQSl76hS1hYGHbv3o3w8HCb/YmJiQCAXr16uSIWERERERERERERlYFLz1yMjY3FsmXLbnhbYmIiBgwYABf+1TYRERERERERERGVwKXXXJSF11wkcj6LhG8VHryAB5HTyfqpLuPLdfSq/U6fOS82wukziYiIVGAsLN97FZRV9WqeUuYSORuvOel8SlxzkYiIiIiIiIiIiNTFxUUiIiIiIiIiIiKyCxcXiYiIiIiIiIiIyC5cXCQiIiIiIiIiIiK7uHxxUQiBY8eO4cqVq+/CUlhYiC+++AKffPIJMjMzXZyOiIiIiIiIiIiIiuPSxcVDhw6hYcOGaNy4McLDw3Hs2DG0a9cOTz/9NEaMGIHw8HAcOXJEymMv//wzxHTtgrtaNcPjjz2CP/buddu5umfVvb+suc6c+eEHC/B4/35of3drdOnYDi+OHoXjx446nFFGVtVmypqre1ad+6fs/gWjRz2Lrp2j0TIyFFu3bHY44zXlyWoAMKp9fcx4KAQLH4lAy7q+Nre3utUXL3RogLd7hWLhIxGo5+993YwxnW7HwkcibLYqZfzNRoVjJWumrLmqzJQ1V/esuveXNVeVmbLmqjJT1lxHZ/6Wshtjnh+Jh7p2QlSrpvh+m+3P/G1bNmH0iGfQ7d62iGrVFIcPpbosa0XNlDVXlZmy5qqSVdbvwar0lzUTcPHiYlxcHFq0aIHff/8dDz30EHr06IF69eohJycH2dnZaNu2LSZNmuT0x12/bi1mzUjA8JGjsHzlKoSGhmHE8KeRlZXldnN1z6p7f1Wy/rr7F/QfMBCffP4F5i9cjCuXr2DE/z0DY36+3RllZVVpJrOqM1OlrEZjPkJCQxH/2gS7Z9xIebMaDMCp8wX4/NczN7zdy9MDRzLz8fUf6SU+7o6j2Xh59SHrdsXi/KxlocpMlbLq3l+lrLr3Vykr++vV32jMR5OQULwcP/6GtxcYjWjRsjVGjR5jd05nZa2ImSpl1b2/rLkyfg9Wqb+srAAA4UK1a9cWv/32mxBCiEuXLgmDwSB++OEH6+3/+c9/RP369cs913i55K3vw/3E+AkTrR/nmcyifXS0SExaUOrnVvRc3bPq3t+dsuYVWsq8nTybKUJCQsSOn5JLvJ9K/XU//pUpa2Xvn19Y9i0kJESsWbepTPeVkXXYin1i2Ip9Qggh3vvxhPXjoturaw4JIYSYuOHP6247mH5JbDqUabNPpWOl+2uV/StPVt37q5SV/St3/+y8K8VuISEhYtWa9Te8bd+REyIkJETs+vWPG96uSn+VjhX7y5kr4/dglfrLmFlWLj1z8dKlS6hVqxYAwMfHBz4+PggODrbefttttyE9veQzFsrrcmEhUg/sR1TbdtZ9Hh4eiIpqh717fnOrubpn1b2/almLunTpIgDA39/foTmq9OfxVyer7v1lcWXWexr44+1eoZjQrRFiI28u9f6qHCvdX6u691cpq+79VcrK/nr3l0Wl/qpk1b2/zLnOplJ/2c+pSxcX69ati7S0NOvHM2bMwM03//0Pg4yMDAQEBJQ4w2QyITc312YzmUzF3j/nfA7MZjMCAwNt9gcGBjr0BjIy5uqeVff+qmW9xmKxYNa0qWjZqjUaNwlxaJYq/Xn81cmqe39ZXJX157QL+DD5FGZvP451BzMR1aAmqpbym40qx0r316ru/VXKqnt/lbKyv979ZVGpvypZde8vc66zqdRf9nPq0sXF+++/HwcPHrR+PGLECPj6/n1B940bN6J169YlzkhISIC/v7/NNnN6grTMRFSyhMmT8OefRzBt5tuujkJEldwPx3JwID0Pp3NN+DntAhb/fBqeHlffLIaIiIiIiCpGFVc++Pvvv1/i7f3798eQIUNKvE98fDxeeuklm33C06vY+wfUDICnp+d1F6zMyspCUFBQKYmLJ2Ou7ll1769aVgCYNmUSfvh+Oz5cshR1brnFoVmAOv15/NXJqnt/Wdwl67Hsq28iZTAAQtz4PqocK91fq7r3Vymr7v1Vysr+eveXRaX+qmTVvb/Muc6mUn/Zz6lLz1wsTcOGDW2uwXgjXl5e8PPzs9m8vIpfXKxarRrCm0YgeddO6z6LxYLk5J1o3qKV3VllzNU9q+79VcoqhMC0KZOwdctmLFj8MW6tV8+uORWRVZWZzKrOTNWyyuAuWW+r6Q2g+IVFQJ1jpftrVff+KmXVvb9KWdlf7/6yqNRflay695c519lU6i/7OXXpmYsAYDQakZKSglq1aqFp06Y2txUUFGDFihUYPHiwUx9z0JChGD8uDhERkYhs1hxLP10Co9GIPrF93W6u7ll1769K1oTJk7Bu7RrMmfcefHx8kJmZAQCoUcMX3t7edueUkVWlmcyqzkyVsubn59lc7/j06VM4eDAV/v7+CA6uW6FZ6/n//f0hyKca6vl7I7/QjGzjZdxU1RO1bqqKmtWv/qpyi281AEBuwRXkmq6gtk9V3F2/Jv44cxF5hWbU8/fGoy1vgUUAJawt2p1VRn9XzFQpq+79Vcqqe3+VsrK/Xv3z8/Nw6uTfP/P/On0ahw+lws/PH7cE18WFC+eRfvYMMs+dAwCcOH4cABAYGITAoNoVmrUiZqqUVff+subK+D1Ypf6ysgIuXlw8fPgwunXrhrS0NBgMBkRHR2P58uXWsxUvXLiAoUOHOn1xsXvMg8jJzkZS4jxkZmYgNCwcSQsWIdDBU0FlzNU9q+79Vcm68otlAIBhQ22/VidOnopefRz7RqVCf1kzmVWdmSpl3b9vH4Y99ffX6uwZV69T3LN3LN6aMq3CsnoYgDe6NbJ+/GjLq5dS+Ol4Dj7+5S+0qOuLoXffar39/9reBgD4dv85fHsgA1csAuF1fHBfk1rwquKB7PzL+PVULjo1Lv25UeVY6f5a1b2/Sll1769SVvbXq3/qgf0YNexJ68dzZ08HADzYsw/emDQVP3y/DZMnvGa9ffyrYwAATw8fiWHP/qtCs1bETJWy6t5f1lwZvwer1F9WVgAwCFHSHw/JFRsbi8uXL+Pjjz/G+fPn8cILL+DAgQPYvn076tevj/T0dNStWxdms7lccwuuSApMpDGLhG8VHga+7QKRs8n6qS7jy3X0qv1OnzkvNsLpM4mIiFRgLCzfv5vLqno1TylziZxNxu/Buv+T1buMpyS69JqLP/30ExISEhAUFITGjRvj22+/xQMPPIAOHTrg6NGjroxGREREREREREREpXDp4qLRaESVKn8vgxoMBsyfPx89e/ZEp06dcPjwYRemIyIiIiIiIiIiopK49JqLYWFh2L17N8LDw232JyYmAgB69erlilhERERERERERERUBi49czE2NhbLli274W2JiYkYMGAAXHhJSCIiIiIiIiIiIiqBS9/QRRa+oQuR8/ENXYjUwDd04Ru6EBGRnviGLqQ7vqGL85X1DV24uEhERFSJHDpzUcrc0GBfKXOdLf2CScrcOv5eUuYSEREROcsVs/OXd6p4ar66pjkl3i2aiIiIiIiIiIiI1MXFRSIiIiIiIiIiIrILFxeJiIiIiIiIiIjILm65uNilSxecOHHC1TGIiIiIiIiIiIioBC5dXFy9evUNtx07dmDNmjXWj2VY/vlniOnaBXe1aobHH3sEf+zd67Zzdc+qe39Zc1WZKWuuKjNlzdU9q679v1n2MR69/058nDT7utuEEJgaPxqP3n8nfv7PdpdndcbMZZ8swr+eGoDe90fhkQc7YULc8zh54th19zvwxx6M/dfT6NnlbvS5vy1eGvEkTKaCCs1akTNlzVVlpqy5umfVvb+suarMlDVXlZmy5uqelf2dO3NB0rto0zzMZuvbK8bhnDKyypyrykxZc2VlhXAhg8EgPDw8hMFgKHbz8PAo91zj5ZK3Vau/ExEREWLZii/FvtQjIn7c66LNnXeKU2czS/3cip6re1bd+6uUlf317q9S1sre//e03BtuX27cKdp3vFd07d5DvPDqhOtun/z2fNH/iSdFSEiIWLhs9XW3q9L/eGaBdRs46EmxcMkXYvvP+8SWnXvEE0OeFtEdOonUk9nW+6zdlixatmotpr39ntj+8z7xQ0qqWPLFv8Xhv3JtZqnSX6XXKvtXnqy691cpK/vr3V+lrOxv38yLBZZit1lvzxUxMT3EsVPp1i3tTFaJn3OxwMJjpXn/snLp4mL37t1Fjx49RHp6us3+KlWqiP3799s9t7QntO/D/cT4CROtH+eZzKJ9dLRITFrg0MGXMVf3rLr3Vykr++vdX6Wslb3/jRYWdx06Kzp1vl98smqT6NPvsesWF7/Z+ouIahcttv9+1O7FRXfpX3RB8J/b70f+EiEhIWL1ph+t+3rFPizenDqrxM8ry+Kiu/RX6bXK/pUnq+79VcrK/nr3Vykr+9s3s7TFxYd69ip1MbG8i4s8VpW7f1m59M+i161bh/vuuw933nkn1qxZUyGPebmwEKkH9iOqbTvrPg8PD0RFtcPePb+51Vzds+reX6Ws7K93f5Wy6tp/0bzpaHVPezRvc891t5kKCjB36ut4+rlXULNWkMuzypyZl3cJAODr5w8AyMnOwsH9f6BmQC288H+D8GiPezFm5FDs2/Ory7Pq+lqVOZNZ1ZnJrOrMVCmr7v1Vysr+cvoDQNqJE3jgvg7oFXM/Xnv1ZZw585dD83is9O5flMvf0OXFF1/E6tWrERcXh+HDhyM/P79cn28ymZCbm2uzmUymYu+fcz4HZrMZgYGBNvsDAwORmZlpVwdZc3XPqnt/lbKyv979VcqqY///bNuAY0cOYuAz/7rh7Uvmz0ZoRHPc1f5eu3I6M6vMmRaLBe+/MwMRzVuhYaMmAICzf50CAHz64XzE9HoYU9+ej8ah4YgbPQynT5b9jeVU6K9aVt37q5RV9/4qZWV/vfurlJX95fSPbNYCb05OQOL8RXj19Qn46/QpPPPkE9b/+OpOWVV5XnXvX5TLFxcBoGXLlti9ezcMBgNatmwJIUSZPzchIQH+/v4228zpCRLTEhERqSHz3Fl8/N5sjB43GdWqeV13++6fvse+33fjyZFjXJCuYiXOnoLjR//EuEnTrfss//t9o0effnjgoT5oHBqOEc+/gnr1b8f6Nd+4KCkRERGR87Xv0BFdu3VHk5BQtGvfAfPeW4iLF3OxacN6V0ejSqCKqwNcU716dbz//vtYvXo1tm3bhqCgsv1pVnx8PF566SWbfcLz+n9AXRNQMwCenp7Iysqy2Z+VlVXmx6youbpn1b2/SlnZX+/+KmXVrf/RIwdx4Xw24p59wrrPYjEj9Y/fsP6bFejW82Gk/3UKT/bubPN5sye+gvDIlnjz7YUVllXmzMTZU7HrPzswO+kj1L75Fuv+WoFX59S/vZHN/evffgfOpZ9xSVaZM1XKqnt/lbLq3l+lrOyvd3+VsrK/nP7/5OvnhwYNbsfJcvy1xj/xWOndvyi3OHOxqF69emHOnDm4+eaby3R/Ly8v+Pn52WxeXsUvLlatVg3hTSOQvGundZ/FYkFy8k40b9HK7twy5uqeVff+KmVlf737q5RVt/7NWt2FWR8sx4wFn1m3RiFNEX1fd8xY8Bn6Pv4UZi5cZnM7AAwZ8RJGjp1QoVllzBRCIHH2VPzn+62Y+e4iBNetZ3P7LcG3IjDoZpxKO26z/1TaCdS5JbhCs1bETJWy6t5fpay691cpK/vr3V+lrOwvp/8/5efn4dTJkwgKqm33DB4rvfsX5fIzF41GI1JSUlCrVi00bdrU5raCggKsWLECgwcPdupjDhoyFOPHxSEiIhKRzZpj6adLYDQa0Se2r9vN1T2r7v1Vysr+evdXKatO/avf5IP6DRvb7PPy9oavX03r/hu9iUvQzbfg5uBbKzSrjJnvzpqCbZvWYeL0uah+kw+ys65eT8anRg14eXnDYDDgkceH4JNF83FH4xA0CgnDprWrcfLEMYyfMrtCs1bUTJWy6t5fpay691cpK/vr3V+lrOzv/JlzZk1Hx3s7Izi4LjIyzmFBUiI8PD3QPeYhu2fKyiprriozVcsKuHhx8fDhw+jWrRvS0tJgMBgQHR2N5cuXIzj46tkCFy5cwNChQ52+uNg95kHkZGcjKXEeMjMzEBoWjqQFixDo4KmgMubqnlX3/iplZX+9+6uUVff+srhj/zWrVgAAXh71lM3+l197C9169AYA9O0/CIWmQrw/byYu5l5Ao8ahmDZ3AerWu61Cs1bUTJWy6t5fpay691cpK/vr3V+lrOzv/JnnzqVjXNwYXDh/HgEBtdCydRt8vPQLBNSqZfdMWVllzVVlpmpZAcAgyvPuKU4WGxuLy5cv4+OPP8b58+fxwgsv4MCBA9i+fTvq16+P9PR01K1bF2azuVxzC65ICkxEROTmDp25KGVuaLCvlLnOln7BJGVuHf/iL7lCRERE5A6umJ2/vFPF0+D0maQO7zKekujSay7+9NNPSEhIQFBQEBo3boxvv/0WDzzwADp06ICjR4+6MhoRERERERERERGVwqWLi0ajEVWq/L0MajAYMH/+fPTs2ROdOnXC4cOHXZiOiIiIiIiIiIiISuLSay6GhYVh9+7dCA8Pt9mfmJgI4Oo7RxMREREREREREZF7cumZi7GxsVi2bNkNb0tMTMSAAQPgwktCEhERERERERERUQlc+oYusvANXYiISFd8Qxe+oQsRERHpiW/oQs5W1jd04eIiEZWJRcK3Cg8Df1AROVueSc4PQR8vl15JxeX4PZCIiIjcndni/N9XPD34+4rOlHi3aCIiIiIiIiIiIlIXFxeJiIiIiIiIiIjILlxcJCIiIiIiIiIiIrtwcZGIiIiIiIiIiIjs4naLi8eOHcOmTZuwb98+qY+z/PPPENO1C+5q1QyPP/YI/ti7123n6p5V9/6y5jpz5ocfLMDj/fuh/d2t0aVjO7w4ehSOHzvqcEYZWVWbKWuu7ll16v9bym6MfX4kenW7F+1aR+D7bVtsbl/0/nt4rO9D6NLuTjzQqS1GP/s09v9hX2537F8Rc2V+D1Shv2ozZc3VPavu/WXNVWWmrLmqzJQ1V/es7C+n/zUfLVqI1s3CMHP6VIdn8Vjp3R8AIFxoxIgR4uLFi0IIIfLz88XDDz8sPDw8hMFgEB4eHqJz587W28vDeLnkbdXq70RERIRYtuJLsS/1iIgf97poc+ed4tTZzFI/t6Ln6p5V9/7ulDWv0FLs9uTQp8SyFV+KvQcOiV/3HhBPPT1MdOx0r8g8f6nEz1Opv+7HvzJlrez9My9dttm+3bBVTJk+S3y1ep0ICQkRX3273ub2z1euEuu27BB7Dh4VP+9JFWNeiRetWrcWR06m29xPlf6y5rrie6A79a8sM5lVnZnMqs5MlbLq3l+lrOxv38xLJkuZtuSUPeLezp1Fj4d6igmTJpd4Xx4rvfuXlUsXFz08PER6eroQQoj4+HhRr149sXXrVpGXlyd+/PFH0ahRI/Hqq6+We25pT2jfh/uJ8RMmWj/OM5lF++hokZi0wKGDL2Ou7ll17+9OWUv6B/I/t5NnM0VISIjY8VOyw4uL7tJf9+NfmbJW9v7/XFwsut1ocfGf24mzOSIkJESs3/JDuRYX3aW/rLmu+B7oTv0ry0xmVWcms6ozU6WsuvdXKSv72zezLAuL53Iuivu7dhVbtv8oBgx83OHFRR6ryt2/zOt7zjn/0e6zJq3//9tvv8WMGTPQuXNn3HTTTWjfvj3efvttfP311059zMuFhUg9sB9RbdtZ93l4eCAqqh327vnNrebqnlX3/qplLerSpYsAAH9/f4fmqNKfx1+drLr3L/UxLxfi31+vRI0avmgcElr2z1OovyrfA1Xqr8pMZlVnJrOqM1OlrLr3Vykr+8v9XWXalEmI7nAv7iky3148Vnr3L8rl11w0GAwAgLNnz6J58+Y2t7Vo0QInT54s8fNNJhNyc3NtNpPJVOz9c87nwGw2IzAw0GZ/YGAgMjMz7WwhZ67uWXXvr1rWaywWC2ZNm4qWrVqjcZMQh2ap0p/HX52suvcvzn92bMd97e/EvVGtsfyzT/DO/A9QMyDApVlVOlZFOet7oEr9VZnJrOrMZFZ1ZqqUVff+KmVlf3m/q2xY9x0OHjiA5154yaE51/BY6d2/KJcvLo4fPx4vvfQSPDw88Ndff9nclpWVBR8fnxI/PyEhAf7+/jbbzOkJMiMTUQkSJk/Cn38ewbSZb7s6ChGVUeu77saSZV9hwUefIapdNMbHjUF2dparYymJ3wOJiIjIHZ09ewYzp03F5Gmz4OXl5eo4VMlUceWDd+zYEYcOHQIANG3aFCdOnLC5fe3atYiIiChxRnx8PF56yXbVXXgW/4USUDMAnp6eyMqy/UdTVlYWgoKCyhNf+lzds+reX7WswNVT7H/4fjs+XLIUdW65xaFZgDr9efzVyap7/+JUr34T6tVvgHr1GyCyeQs82jsGa775GoOfGuayrCodq2uc+T1Qpf6qzGRWdWYyqzozVcqqe3+VsrK/nP6p+/cjOzsLj/fva91nNpvxa8purFj2GXal7IWnp6dbZFXledW9f1EuPXNx+/bt2LZtm3V75plnbG4fOHAgli5dWuIMLy8v+Pn52WwlrcJXrVYN4U0jkLxrp3WfxWJBcvJONG/Ryu4uMubqnlX3/iplFUJg2pRJ2LplMxYs/hi31qtn15yKyKrKTGZVZ6ZqWcvCIgQKCwvLfH+V+qvyPVCl/qrMZFZ1ZjKrOjNVyqp7f5Wysr+c/ndHRWHF16uxbOUq69Y0IhIxPXpi2cpV5V5YlJlVledV9/5FufTMxdLccccdUuYOGjIU48fFISIiEpHNmmPpp0tgNBrRJ7Zv6Z9cwXN1z6p7f1WyJkyehHVr12DOvPfg4+ODzMwMAECNGr7w9va2O6eMrCrNZFZ1Zrpz1vz8PJw6mWb9+MzpUzh8KBV+fv7wr1kTSxYtRHSnzggMqo0L53Pw1YplyDyXji5dH6jwrBUxU8ZcWd8DVemv0kxmVWcms6ozU6WsuvdXKSv7O3+mj0+N664HXb16dfjXrOnQdaJ5rPTuf43LFxeNRiNSUlJQq1YtNG3a1Oa2goICrFixAoMHD3bqY3aPeRA52dlISpyHzMwMhIaFI2nBIgQ6eCqojLm6Z9W9vypZV36xDAAwbKjt1+rEyVPRq49j36hU6C9rJrOqM9Odsx48sB//+r+h1o/nvT0DAPBgz94YO24CThw/hrVr/o0L53Pg718TYRGRSPrwE9zRqHGFZ62ImTLmyvoeqEp/lWYyqzozmVWdmSpl1b2/SlnZX05/GXis9O5/jUEIIRyeYqfDhw+jW7duSEtLg8FgQHR0NJYvX47g4GAAQHp6OurWrQuz2VyuuQVXZKQl0ptFwrcKj/+9WzwROU+eSc4PQR8vl//3SJfi90AiIiJyd2aL839f8fTg7ys68y7jPwFces3FuLg4REZG4ty5czh06BB8fX3Rvn17pKWllf7JRERERERERERE5FIuPXOxTp062Lx5M5o1awbg6gXRR44cibVr12Lbtm3w8fHhmYtEboJn7RCpgWcuysHvgUREROTueOYiOZsSZy4ajUZUqfJ3UoPBgPnz56Nnz57o1KkTDh8+7MJ0REREREREREREVBKXnoYQFhaG3bt3Izw83GZ/YmIiAKBXr16uiEVERERERERERERl4NIzF2NjY7Fs2bIb3paYmIgBAwbAhX+1TURERERERERERCVw6TUXZeE1F4mIiMjdFV6xSJlbrYpL/9sxEREREVUSSlxzkYiIiIiIiIiIiNTFxUUiIiIiIiIiIiKyCxcXiYiIiIiIiIiIyC5cXCQiIiIiIiIiIiK7uHRx0WQy4fLly9aP//vf/+K1117DoEGD8Prrr+PYsWPSHnv5558hpmsX3NWqGR5/7BH8sXev287VPavu/WXNVWWmrLmqzJQ1V/es7K93f1lznT2zV8x9uKtF+HXb9KmT3C6rSjNlzdU9q+79Zc1VZaasuarMlDVX96zsr3d/WXNVmSlrrqysEC7UqVMnsXLlSiGEED/++KPw8vISzZs3F/379xetWrUSN910k/jpp5/KPdd4ueRt1ervREREhFi24kuxL/WIiB/3umhz553i1NnMUj+3oufqnlX3/iplZX+9+6uUlf317u9OWS8YzSVux09niP+ePGvdNm77QYSEhIitO3aW+Hmq9Nf9+FemrLr3Vykr++vdX6Ws7K93f5WyVvb+ZeXSxUU/Pz9x+PBhIcTVhcYXX3zR5vbXX39dtG/fvtxzS3tC+z7cT4yfMNH6cZ7JLNpHR4vEpAUOHXwZc3XPqnt/lbKyv979VcrK/nr3d6espS0u/nN7Y+Jbost994vz+VccWlx0l/66H//KlFX3/iplZX+9+6uUlf317q9S1srev6xc+mfRZrMZZrMZAHDw4EEMGTLE5vYnn3wSe/bscepjXi4sROqB/Yhq2866z8PDA1FR7bB3z29uNVf3rLr3Vykr++vdX6Ws7K93f9Wy2jzG5UKs++5b9OrTFwaDwf45ivTn8Vcnq+79VcrK/nr3Vykr++vdX6WsuvcvyqWLi/fccw++/fZbAECjRo2uW0j8/fffUatWLac+Zs75HJjNZgQGBtrsDwwMRGZmplvN1T2r7v1Vysr+evdXKSv7691ftaxFbd+6BZcuXsRDvWIdmqNKfx5/dbLq3l+lrOyvd3+VsrK/3v1Vyqp7/6KqODzBAZMnT0ZMTAzy8vIwYMAAjBkzBkeOHEF4eDgOHTqEefPmIT4+vsQZJpMJJpPJZp/w9IKXl5fM6EREREQVZvWqr9C2fQfUvvlmV0chIiIiIrLh0jMX27Zti3Xr1mHDhg0YPXo0srKyMGXKFDzxxBP48MMP8eabb+KVV14pcUZCQgL8/f1ttpnTE4q9f0DNAHh6eiIrK8tmf1ZWFoKCguzuImOu7ll1769SVvbXu79KWdlf7/6qZb3mzF+n8XPyTvTp28/hWar05/FXJ6vu/VXKyv5691cpK/vr3V+lrLr3L8qli4vA1QXGnTt3Ij09HTt37sR//vMfHD16FKdOncLzzz9f6ufHx8fjwoULNtvYuOLPdqxarRrCm0YgeddO6z6LxYLk5J1o3qKV3T1kzNU9q+79VcrK/nr3Vykr++vdX7Ws13z771UIqFUL7Tt0cniWKv15/NXJqnt/lbKyv979VcrK/nr3Vymr7v2LcumfRRdVu3Zt1K5du9yf5+V1/Z9AF1wp+XMGDRmK8ePiEBERichmzbH00yUwGo3oE9u33I8ve67uWXXvr1JW9te7v0pZ2V/v/qpltVgs+PbfX6NHzz6oUsU5v7ap0p/HX52suvdXKSv7691fpazsr3d/lbLq3v8aly8uGo1GpKSkoFatWmjatKnNbQUFBVixYgUGDx7s1MfsHvMgcrKzkZQ4D5mZGQgNC0fSgkUIdPBUUBlzdc+qe3+VsrK/3v1Vysr+evdXLevPu3bi7Jkz6NXH8V/6rlGlP4+/Oll1769SVvbXu79KWdlf7/4qZdW9/zUGIYRweIqdDh8+jG7duiEtLQ0GgwHR0dFYvnw5goODAQDp6emoW7cuzGZzueaWduYiERERkasVXrFImVutisuvekNERERElYB3GU9JdOlvn3FxcYiMjMS5c+dw6NAh+Pr6on379khLS3NlLCIiIiIiIiIiIioDl565WKdOHWzevBnNmjUDAAghMHLkSKxduxbbtm2Dj48Pz1wkIiKiSolnLhIRERGRO1PizEWj0WhzcXKDwYD58+ejZ8+e6NSpEw4fPuzCdERERERERERERFQSl76hS1hYGHbv3o3w8HCb/YmJiQCAXr16uSIWERERERERERERlYFLz1yMjY3FsmXLbnhbYmIiBgwYABf+1TYRERERERERERGVwKXXXJRF1jUXZTxTBoPzZxIREREREREROYrrIHpT4pqLREREREREREREpC4uLhIREREREREREZFduLhIREREREREREREduHiIhEREREREREREdnFpYuLX331FfLz813y2Ms//wwxXbvgrlbN8Phjj+CPvXsdmpey+xeMHvUsunaORsvIUGzdstlJSZ2fVeZcVWbKmqt7VvbXu7+suarMlDVXlZmy5uqelf317i9rriozZc3VPSv7691f1lxVZsqaq8pMGXNVWwtRZaasubKyQriQwWAQfn5+YtiwYWLXrl1Om2u8XPK2avV3IiIiQixb8aXYl3pExI97XbS5805x6mxmiZ+XX1j8tnHLdjFj1ttizdqNIiQkRKxZt6nE+1/bZGV1xVxVZjKrOjNVyqp7f5Wysr/e/VXKyv5691cpq+79VcrK/nr3Vykr+7tP/9LWNOxZC6lMz6s7HSsZM8vK5YuLkyZNEq1atRIGg0FERESIOXPmiMzMTIfmlvaE9n24nxg/YaL14zyTWbSPjhaJSQtK/LyyLBbmFwqnLi7am9UVc1WZyazqzFQpq+79VcrK/nr3Vykr++vdX6WsuvdXKSv7691fpazs7z79y7oOUp61kMr0vLrTsZIxs6xcfs3F4cOH49dff8Uvv/yCjh07YuLEibj11lvx6KOPYtOmTU5/vMuFhUg9sB9RbdtZ93l4eCAqqh327vnN6Y/nCFlZZcxVZSazqjNTpay691cpK/vr3V+lrOyvd3+VsureX6Ws7K93f5Wysr86/WVR5XlV6VjJPv4uX1y8pk2bNkhKSsKZM2fwwQcfICMjA927d0fDhg2d+jg553NgNpsRGBhosz8wMBCZmZlOfSxHycoqY64qM5lVnZkqZdW9v0pZ2V/v/iplZX+9+6uUVff+KmVlf737q5SV/dXpL4sqz6tKx0r28a/i8AQHGAyG6/Z5e3tj0KBBGDRoEP7880989NFHJc4wmUwwmUw2+4SnF7y8vJyalYiIiIiIiIiIiGy59MxFIUSJtzdu3BhTpkwp8T4JCQnw9/e32WZOTyj2/gE1A+Dp6YmsrCyb/VlZWQgKCip7+AogK6uMuarMZFZ1ZqqUVff+KmVlf737q5SV/fXur1JW3furlJX99e6vUlb2V6e/LKo8ryodK9nH36WLi8eOHUPt2rUdmhEfH48LFy7YbGPj4ou9f9Vq1RDeNALJu3Za91ksFiQn70TzFq0cyuJssrLKmKvKTGZVZ6ZKWXXvr1JW9te7v0pZ2V/v/ipl1b2/SlnZX+/+KmVlf3X6y6LK86rSsZJ9/F36Z9ENGjRweIaX1/V/Al1wpeTPGTRkKMaPi0NERCQimzXH0k+XwGg0ok9sX7tz5OfnIS0tzfrx6dOncPBgKvz9/REcXNfuuTKyypqrykxmVWemSll1769SVvbXu79KWdlf7/4qZdW9v0pZ2V/v/iplZX91+qu0FqLKTNWyAi5eXAQAo9GIlJQU1KpVC02bNrW5raCgACtWrMDgwYOd+pjdYx5ETnY2khLnITMzA6Fh4UhasAiBDpwKun/fPgx76u+cs2dc/dPsnr1j8daUaW6VVdZcVWYyqzozVcqqe3+VsrK/3v1Vysr+evdXKavu/VXKyv5691cpK/ur01+ltRBVZqqWFQAMorQLH0p0+PBhdOvWDWlpaTAYDIiOjsby5csRHBwMAEhPT0fdunVhNpvLNbe0MxftJeOZusF72hARERERERERuRzXQfTmXcZTEl16zcW4uDhERkbi3LlzOHToEHx9fdG+fXubU2qJiIiIiIiIiIjIPbn0zMU6depg8+bNaNasGYCr7x49cuRIrF27Ftu2bYOPjw/PXCQiIiIiIiIicgGug+hNiTMXjUYjqlT5O6nBYMD8+fPRs2dPdOrUCYcPH3ZhOiIiIiIiIiIiIiqJS9/QJSwsDLt370Z4eLjN/sTERABAr169XBGLiIiIiIiIiIiIysClZy7GxsZi2bJlN7wtMTERAwYMgAv/apuIiIiIiIiIiIhK4NJrLsoi65qLRDrjtTaIiJxL1m9gun9v5c8rUkXB5fJdV74svKt6On0mqYM/V4jI2ZS45iIRERERERERERGpi4uLREREREREREREZJcyneC4evXqMg/km7AQERERERERERHpoUzXXPTwKNsJjgaDAWaz868dUl685iKR8/EaVkREzsVrY8nBn1ekCl5zkZyNP1eIyNnKes3FMt3NYrE4koWIiIiIiIiIiIgqIZdfc3HPnj1YvHgxjh49CgDYv38/Ro4ciWeffRYbNmyQ9rjLP/8MMV274K5WzfD4Y4/gj7173Xau7ll17y9rrrNnpuz+BaNHPYuunaPRMjIUW7dsdjjjNSr0lzVT1lzds7K/3v1lzeX3VfefqdpzKmuuKjNlzVUla15eHt6ekYDeMfeh4z2t8MzggTiw7w+3yylzriozZc3V/XugzsdK1kxZc3XPqnt/wM7Fxby8PKxduxbvv/8+5s2bZ7OVx9dff402bdrglVdeQYsWLbB582ZER0fjyJEjOH78OHr06IHPP//cnoglWr9uLWbNSMDwkaOwfOUqhIaGYcTwp5GVleV2c3XPqnt/lbIajfkICQ1F/GsT7J5xI6r01/34q5SV/fXur1JWfl/V+zmVNVeVmcwKTJ04Hj/v+glvTp6Oz1Z+g3vatsO/nn0a59LT3SqnrLmqzFQpq0rfA3U/Vrr3Vymr7v2tRDn9+uuv4pZbbhF+fn7C09NT1K5dWxgMBuHj4yMaNmxYrlmtW7cWkydPFkIIsWzZMlGzZk0xadIk6+2zZs0SLVu2LG9EYbxc8tb34X5i/ISJ1o/zTGbRPjpaJCYtKPVzK3qu7ll17+9OWfMLy76FhISINes2lXo/lfrrfvwrU1b217u/O2WV8X21LN9b3aW/rJmV5Tl1t+eV/Z0/Nyf/SrHbmexLIjw8XHy7fovN/p69+4iEGbOL/TyV+leWme6UlT9XKk9W3furlLWy9y+rcp+5+OKLL6Jnz57IyclB9erVsWvXLpw4cQJt2rTBrFmzyjXr0KFDePzxxwEA/fv3R15eHvr06WO9PTY2Fn/++Wd5I5bocmEhUg/sR1TbdtZ9Hh4eiIpqh717fnOrubpn1b2/alllUKU/j786Wdlf7/6qZZVBlf66P6ey5qoyk1kBs9kMs9kML69qNvu9vLyx57df3SanrLmqzFQtqwwq9Vclq+79Vcqqe/+iyr24+Pvvv2PMmDHw8PCAp6cnTCYTbrvtNsyYMQPjxo0r1yxfX1/r6Zfnz5/HlStXbE7HzMrKQo0aNUqcYTKZkJuba7OZTKZi759zPgdmsxmBgYE2+wMDA5GZmVmu/LLn6p5V9/6qZZVBlf48/upkZX+9+6uWVQZV+uv+nMqaq8pMZgV8fHzQrHlLLF74PjLOnYPZbMa671Zj397fkZmZ4TY5Zc1VZaZqWWVQqb8qWXXvr1JW3fsXVe7FxapVq8LD4+qn3XzzzUhLSwMA+Pv74+TJk+Wadf/992PUqFH47LPPMGTIEHTr1g3x8fE4ePAgDh06hLFjxyI6OrrEGQkJCfD397fZZk5PKG8tIiIiIiIit/HmlGkQEHio273ocHdLrPj8M3Tr/qD132JERETuokp5P6FVq1b45Zdf0KRJE3Tq1AlvvPEGMjMz8emnnyIyMrJcs2bNmoVBgwbh2WefRfv27fHFF1/g9ddfR9OmTWEwGNCoUSN8+OGHJc6Ij4/HSy+9ZLNPeHoVe/+AmgHw9PS87oKVWVlZCAoKKld+2XN1z6p7f9WyyqBKfx5/dbKyv979Vcsqgyr9dX9OZc1VZSazXlXvtvp4/8NPYDTmI+9SHoJq18Zrr7yEurfWc6ucqhwr3fvLolJ/VbLq3l+lrLr3L6rc/9lr6tSpCA4OBgBMmTIFAQEBGDFiBDIyMrBw4cJyzapTpw42btyIixcvYv369fD398e7776LP//8E3v27MGBAwfQqFGjEmd4eXnBz8/PZvPyKn5xsWq1aghvGoHkXTut+ywWC5KTd6J5i1blyi97ru5Zde+vWlYZVOnP469OVvbXu79qWWVQpb/uz6msuarMZFZb1avfhKDatZGbewG7fvoPOt7bxa1yqnKsdO8vi0r9Vcmqe3+Vsurev6hyn7l45513Wv//zTffjPXr1zsc4p/uuOMOp88satCQoRg/Lg4REZGIbNYcSz9dAqPRiD6xfd1uru5Zde+vUtb8/DzrZRIA4PTpUzh4MBX+/v4IDq7rVllVmcms6sxUKavu/VXKyu+rej+nsuaqMpNZgV0//QghBBrc3hAn09Lw7pyZaNCwIXr2jnWrnLLmqjJTpawqfQ/U/Vjp3l+lrLr3v6bci4vOZjQakZKSglq1aqFp06Y2txUUFGDFihUYPHiwUx+ze8yDyMnORlLiPGRmZiA0LBxJCxYh0MFTQWXM1T2r7v1Vyrp/3z4Me+rvr9XZM65e+7Rn71i8NWWaW2VVZSazqjNTpay691cpK7+v6v2cypqrykxmBS5dvIikd9/BufSz8PP3R+f7umHEv55HlapV3SqnrLmqzFQpq0rfA3U/Vrr3Vymr7v2vMQghRHk+oWHDhjAYDMXefvTo0TLPOnz4MLp164a0tDQYDAZER0dj+fLl1j+7Tk9PR926dWE2m8sTEQVXynV3IiqD8n2nKJsSvpUQEVV6Mr6vAvzeyp9XpIqCy+X7N05ZeFf1dPpMUgd/rhCRs3mX8ZTEcp+5+MILL9h8fPnyZfz2229Yv349xo4dW65ZcXFxiIyMxO7du3H+/Hm88MILaN++PbZv34769euXNxoRERERERERERFVoHKfuVic9957D7t378ZHH31U5s+pU6cONm/ejGbNmgEAhBAYOXIk1q5di23btsHHx4dnLhK5CZ4JQkTkXDzDRA7+vCJV8MxFcjb+XCEiZyvrmYvlfrfo4sTExOCrr74q1+cYjUZUqfJ3UoPBgPnz56Nnz57o1KkTDh8+7Kx4RERERERERERE5GROe0OXL7/8ErVq1SrX54SFhWH37t0IDw+32Z+YmAgA6NWrl7PiERERERERERERkZOVe3GxVatWNm/oIoTA2bNnkZGRgaSkpHLNio2NxbJlyzBo0KDrbktMTITFYsH7779f3ohERERERERERERUAcp9zcU333zTZnHRw8MDtWvXxr333ouwsDCnB7SHStdc5HWBSBXGQudfF6h6NV4XiNSg0jWMZHytAvx6JeezSPrCkjHW04O/XJHzHTuX5/SZt9f2cfpMWfhvFueT9X3VgwdLGTJeAmaL84dW8eRrShVlveai097QxZ1wcdH5M4m4uEg64+Iiv17J+bi4SLrj4qKrE1Q+XFwkLi6Ss0l7QxdPT0+cO3fuuv1ZWVnw9OQ/PIiIiIiIiIiIiHRR7sXF4k50NJlMqFatmsOBiIiIiIiIiIiISA1lfkOXefPmAQAMBgMWLVqEGjVqWG8zm83YsWOH21xzkYiIiIiIiIiIiOQr85mLc+bMwZw5cyCEwPvvv2/9eM6cOXj//feRn59v9zs7b926FZMmTcKIESMwatQozJ49G0eOHLFrVlkt//wzxHTtgrtaNcPjjz2CP/budcu5Kbt/wehRz6Jr52i0jAzF1i2bnZITkPMcqDJT1lxdsv6Wshtjnh+Jh7p2QlSrpvh+m+3rctuWTRg94hl0u7ctolo1xeFDqS7LqvpMWXN1z6rT9+qK/HpV4VjJnKvKTFlznT3zww8W4PH+/dD+7tbo0rEdXhw9CsePHXU4Z1EfLVqI1s3CMHP6VIdn6XysZM2UNdcds67790o8//SjGNCjAwb06IC4UUOQkvwf6+052ZmYM/V1PNm3K/rHtMNL/zcQP32/pdwZZfy8cuefgRU1U9Zclb6vqtBf5lwVZsr4Wl2Q9C7aNA+z2fr2inF47jUqPK+yZsqaKytrmRcXjx07hmPHjqFTp07Ys2eP9eNjx47h0KFD2LBhA+65555yPfi5c+dwzz33oGvXrnjrrbewcOFCJCcnY9asWQgPD8crr7xS7kJlsX7dWsyakYDhI0dh+cpVCA0Nw4jhTyMrK8vt5hqN+QgJDUX8axMcyvZPMrKqMpNZHZ9pNOajSUgoXo4ff8PbC4xGtGjZGqNGj7E7o7OyqjyTWdWZ6c7fqyvq61WVY6VSVt37/7r7F/QfMBCffP4F5i9cjCuXr2DE/z0DY36+3TOL2r/vD3z15RdoEhLq8Czdj5Xu/Z0xN7D2zRg0bDRmL/gMs95fimat7kLC6y8i7dh/AQDvJLyBv06ewLgpczD3wxWI6tAFsybF4eiRg+XKKePnlTv/DKyImSpllfV9VZX+KmVV6ffVRo2aYMPWH6zbh0s+d8pcVZ5X3V+rVsKF+vfvL/r06SMuXLggCgoKxL/+9S8xePBgIYQQW7ZsEYGBgeKdd94p91zj5ZK3vg/3E+MnTLR+nGcyi/bR0SIxaUGpn+vsufmFZd9CQkLEmnWbSr2frKyVZSaz2jczO+/KDbeQkBCxas36G96278gJERISInb9+scNb1epv+7HvzJldZfv1WX5fu3Mr1XZX6/ucqxUel3p3j+v0FKu7eTZTBESEiJ2/JRc4v0umUrfzuVcFPd37Sq2bP9RDBj4uJgwaXKJ99f9WLG/nLkHTl8qcWvd5k4xd+FSceD0JdG8eQvx3kfLbW5vc+ddYu7CT232yfp5pcrPQJWOv4yZsr6vqtJfpWMla6aMr9WLBZZit1lvzxUP9exV4n1utKn2vOr8Wi2rcr+hy8MPP4zp06dft3/GjBl45JFHyjVr3bp1mDx5Mvz8/ODl5YVp06Zh2bJlyM3NRZcuXfDOO+9g/vz55Y1YosuFhUg9sB9RbdtZ93l4eCAqqh327vnN7ebKICOrKjOZla9VVWYyqzozZdE9K1+reve/kUuXLgIA/P39HZ41bcokRHe4F/cUyWwv3Y+V7v1lzDWbzfhh6wYUFBgRFtEcABAa2QL/2bYRF3MvwGKx4IetG1BYaEJkyzZ253ZnOh9/mVn/yRnfV1Xqr0pWlX4HBIC0EyfwwH0d0Cvmfrz26ss4c+Yvh2eq8rzq/lotqtyLizt27MCDDz543f6YmBjs2LGjXLO8vLxgMBj+DuPhAbPZjCtXrgAA2rVrh+PHj5c4w2QyITc312YzmUzF3j/nfA7MZjMCAwNt9gcGBiIzM7Nc+Stirgwysqoyk1n5WlVlJrOqM1MW3bPytap3/3+yWCyYNW0qWrZqjcZNQhyatWHddzh44ACee+Elp2TT/Vjp3t+Zc48fPYLHYtrjkW5RmP/2FLw6aTZuu/0OAMDYCdNx5coVDOrd2eb24Fvr253bnel4/Csia1HO+r6qUn9Vsqr0O2BksxZ4c3ICEucvwquvT8Bfp0/hmSefQF7eJYfmqvK86v5aLarci4uXLl1CtWrVrttftWpV5ObmlmtWdHQ03njjDeTl5eHy5csYN24c7rjjDtSqVQsAkJGRgYCAgBJnJCQkwN/f32abOT2hXDmIiIiIyH0lTJ6EP/88gmkz33ZoztmzZzBz2lRMnjYLXl5eTkpH5By33nY75ixahhlJSxDT+xHMm/YGTh6/+mYbny9OQt6lS5g4az5mvb8UvR55HDMnxuH4UblvgkmVl7O+r5Le2nfoiK7duqNJSCjate+Aee8txMWLudi0Yb2ro1EFq1LeT2jWrBm++OILvPHGGzb7ly9fjqZNm5Zr1qxZs9CtWzfUrFkTBoMBPj4+WLlypfX21NRUPPnkkyXOiI+Px0sv2f6XZ+FZ/C+LATUD4Onped0FK7OyshAUFFSu/BUxVwYZWVWZyax8raoyk1nVmSmL7ln5WtW7f1HTpkzCD99vx4dLlqLOLbc4NCt1/35kZ2fh8f59rfvMZjN+TdmNFcs+w66UvfD09CzXTN2Ple79nTm3atWq1jMRG4c2xZGD+/HtV58j9rEhWLvqC8xbvBL1GzYCADRsHIIDe3/Dum9WYMRLr9md3V3pePwrIus1zvy+qlJ/VbKq9DvgP/n6+aFBg9tx8uQJh+ao8rzq/lotqtxnLo4fPx5vvfUWhgwZgiVLlmDJkiUYPHgwJk+ejPHjb/xOlMW54447sHfvXnz33Xf4+uuvceTIEdx///3W25988kkkJJR8FqKXlxf8/PxstpL+S3TVatUQ3jQCybt2WvdZLBYkJ+9E8xatypW/IubKICOrKjOZla9VVWYyqzozZdE9K1+revcHACEEpk2ZhK1bNmPB4o9xa716ds+65u6oKKz4ejWWrVxl3ZpGRCKmR08sW7mq3AuLAI+V7v1lzhXCgsuXL8NkKgAAGDwMNrd7eHjAYrHYPd+d6X78Vfq+qlJ/VbKq9DvgP+Xn5+HUyZMICqrt0BxVnlfdX6tFlfvMxZ49e+Kbb77B1KlT8eWXX6J69epo0aIFtm7dav1z5vK46aab0K1bt3J/niMGDRmK8ePiEBERichmzbH00yUwGo3oE9u39E+u4Ln5+XlIS0uzfnz69CkcPJgKf39/BAfXdausqsxkVsdnXv2h8ffr8q/Tp3H4UCr8/PxxS3BdXLhwHulnzyDz3DkAwIn/XTs1MDAIgeX8QeOO/StqJrOqM9Odv1dX1NerKsdKpay690+YPAnr1q7BnHnvwcfHB5mZGQCAGjV84e3tbddMH58a111brHr16vCvWdOha47pfqx07++MuZ9+8C5a390OQXWCYczPww9b1mPf7ymYMOM91Kt/O4JvvQ3z356CJ599Eb5+/kj+z3bsSUnGa1PnliunjJ9X7vwzsCJmqpRVxvdVWVl1P1aq/L46Z9Z0dLy3M4KD6yIj4xwWJCXCw9MD3WMesjvnNao8r7q/Vq8p9+IiAPTo0QM9evQAAOTm5mLZsmV4+eWXkZKSArPZXK5ZRqMRKSkpqFWr1nV/Vl1QUIAVK1Zg8ODB9sQsVveYB5GTnY2kxHnIzMxAaFg4khYsQqCDp4LKmLt/3z4Me+rv/rNnXD2Ts2fvWLw1ZZpbZVVlJrM6PjP1wH6MGvak9eO5s6++g/yDPfvgjUlT8cP32zB5wt9/ojP+1TEAgKeHj8SwZ/9VoVlVnsms6sx05+/VFfX1qsqxUimr7v1XfrEMADBsqO3vgRMnT0WvPo7/EuxMuh8r3fs7Y+75nGy8k/AGcrIz4eNTAw3uaIIJM95DyzujAADjp72LTxbOw5TXXkCBMR/BdW/D6Fcn4s6o6HLllPHzyp1/BlbETJWyyvq+qkp/lbKq8vvquXPpGBc3BhfOn0dAQC20bN0GHy/9AgF2nHj2T6o8r7q/Vq8xCCGEPZ+4Y8cOfPjhh/jqq69Qt25d9O3bFw8//DDuuuuuMs84fPgwunXrhrS0NBgMBkRHR2P58uUIDg4GAKSnp6Nu3brlXrAsuFKuu7uUfc9+yQyG0u9DVF7GwvJ9HZZF9Wrl//MzIleQ8b0akPP9WsbXKsCvV3I+i6QvLBljPT34yxU537FzeU6feXttH6fPlIX/ZnE+Wd9XPXiwlCHjJWC2OH9oFU++plThXcZTEst1zcWzZ89i2rRpaNKkCR555BH4+fnBZDLhm2++wbRp08q1sAgAcXFxiIyMxLlz53Do0CH4+vqiffv2NqfqEhERERERERERkXsq8+Jiz549ERoair179+Kdd97BX3/9hXfffdehB//pp5+QkJCAoKAgNG7cGN9++y0eeOABdOjQAUePHnVoNhEREREREREREclV5sXFdevW4emnn8bEiRPRo0cPu95N75+MRiOqVPn7HEuDwYD58+ejZ8+e6NSpEw4fPuzwYxAREREREREREZEcZV5c/PHHH3Hx4kW0adMG99xzDxITE5GZmenQg4eFhWH37t3X7U9MTETv3r3Rq1cvh+YTERERERERERGRPGVeXIyKisIHH3yAM2fOYPjw4Vi+fDnq1q0Li8WCTZs24eLFi+V+8NjYWCxbtuyGtyUmJmLAgAGw8/1miIiIiIiIiIiISDK73y0aAA4dOoQPP/wQn376Kc6fP4+uXbti9erVzsxnF5XeLZqIiIiInOdC/mWnz/S/qarTZxJZJLwDqwff2ZyIiJxIyrtF/1NoaChmzJiBU6dOFXsGIhEREREREREREVVODp256K545iIRERGRnnjmIqmCZy4SEZG7q5AzF4mIiIiIiIiIiEhfXFwkIiIiIiIiIiIiu2i7uLj8888Q07UL7mrVDI8/9gj+2LvXbefqnlX3/rLmqjJT1lxVZsqaq3tW9te7v6y5qsyUNdcdZ/7+6268+uIoxMZ0Rse7IvHD9i02t3e8K/KG27JPF1d41oqcq8pMWXNVyLrii2V4tG8vREe1QXRUGwx+vD9+/GGH2+WUPVeVmbLm6p6V/fXuL2uuKjNlzZWVFcINJCcni3feeUe8+uqr4tVXXxXvvPOOSE5Otnue8XLJ26rV34mIiAixbMWXYl/qERE/7nXR5s47xamzmaV+bkXP1T2r7v1Vysr+evdXKSv7691fpazsb9/MsxcKrds3a7eIt6bNEiu+WStCQkLEyn+vs7l9/3//stkWf/qFCA0NFb/u/6/N/Xis2F/G3DyTpdht7YbNYv2mbeLA4aPiwKH/iukzZ4umTSPE3v2HSvw8lfpXlpnMqs5MlbLq3l+lrJW9f1m5dHExPT1dREdHC4PBIBo0aCDuvvtucffdd4sGDRoIg8EgoqOjRXp6ernnlvaE9n24nxg/YaL14zyTWbSPjhaJSQscOvgy5uqeVff+KmVlf737q5SV/fXur1JW9rdvZtFFwaLbjRYX/7k9NexZ8djAQdft57FifxlzS1okvNF25513iaXLVji0uOhO/SvLTGZVZ6ZKWXXvr1LWyt6/rFz6Z9EjR46E2WxGamoqjh8/juTkZCQnJ+P48eNITU2FxWLBqFGjnPqYlwsLkXpgP6LatrPu8/DwQFRUO+zd85tbzdU9q+79VcrK/nr3Vykr++vdX6Ws7C+nf0myszKx88cd6NG7b7k+j8dK7/4y515jNpuxft13MBrz0bxFS7fLqcqx0r2/SlnZX+/+KmXVvX9RLl1c3LBhA9577z2EhoZed1toaCjmzZuH9evXO/Uxc87nwGw2IzAw0GZ/YGAgMjMz3Wqu7ll1769SVvbXu79KWdlf7/4qZWV/Of1Lsv671bjJ5yZ07Hx/uT6Px0rv/jLnHjl8CO3ubo172jTHlLfexOx3EtGoUWO3y6nKsdK9v0pZ2V/v/ipl1b1/UVUcnuAALy8v5ObmFnv7xYsX4eXlVeIMk8kEk8lks094epX6eURERERE16xdvQpduz/E3yHJbdzesCGWf7kKly5exOZNG/DG669i0UefOrTASEREJINLz1zs378/hgwZglWrVtksMubm5mLVqlUYOnQoBgwYUOKMhIQE+Pv722wzpycUe/+AmgHw9PREVlaWzf6srCwEBQXZ3UXGXN2z6t5fpazsr3d/lbKyv979VcrK/nL6F2fPbylIO3EMD5XzT6IBHivd+8ucW7VqNdSv3wBNIyIx+oUxCAkJw7Kln7hdTlWOle79VcrK/nr3Vymr7v2Lcuni4ttvv42YmBg89thjCAgIQPXq1VG9enUEBATgscceQ0xMDGbNmlXijPj4eFy4cMFmGxsXX+z9q1arhvCmEUjetdO6z2KxIDl5J5q3aGV3Fxlzdc+qe3+VsrK/3v1Vysr+evdXKSv7y+lfnO/+/TVCw5uicUhYuT+Xx0rv/jLn/pMQFhQWFtr9+Sr1V2Ums6ozU6WsuvdXKavu/Yty+Z9Fz58/H9OnT0dKSgrOnj0LALjlllvQpk0b+Pn5lWnGP/98peBKyZ8zaMhQjB8Xh4iISEQ2a46lny6B0WhEn9jy/9dq2XN1z6p7f5Wysr/e/VXKyv5691cpK/s7PjM/Px+nT6ZZPz7z12kcOXQQfv7+qHNLMAAg79IlbN+yEaNeeNmlWStqriozdc86753ZaB/dEcHBwcjLy8O6tWuw+5efkfT+IrfKKXOuKjOZVZ2ZKmXVvb9KWXXvf41LFxcBIDU1Fbt27ULbtm3RuXNnHDx4EHPnzsWnMqsnsgABAABJREFUn36KJ554Al26dHH6Y3aPeRA52dlISpyHzMwMhIaFI2nBIgQ6eCqojLm6Z9W9v0pZ2V/v/iplZX+9+6uUlf0dn3kodR+ef/Yp68eJc2Zcnd2jN8a9OQUAsGXjOgghcN8DD7o0a0XNVWWm7lmzs7Mx/rU4ZGZkoIavL5o0CUXS+4sQ1a69W+WUOVeVmcyqzkyVsureX6Wsuve/xiCEEA5PsdP69evRu3dv1KhRA/n5+Vi1ahUGDx6MFi1awGKx4Pvvv8fGjRvLvcBY2pmLRERERFQ5Xci/7PSZ/jdVdfpMIovF+f8M8/AwOH0mERHpy7uMpyS69JqLkyZNwtixY5GVlYWPPvoIAwcOxLBhw7Bp0yZs2bIFY8eOxbRp01wZkYiIiIiIiIiIiIrh0jMX/f39kZKSgsaNG8NiscDLyws///wzWrW6ejHJffv24f7777dei7GseOYiERERkZ545iKpgmcuEhGRu1PizEUAMBiu/gD08PCAt7c3/P39rbf5+vriwoULropGREREREREREREJXDp4uLtt9+OI0eOWD/euXMn6tevb/04LS0NwcHBrohGREREREREREREpXDpu0WPGDECZrPZ+nFkZKTN7evWrZPybtFERERERERERETkOJdec1EWla65KOPZN/BSKyQBX6tEapD1U51fr6QKGV8D2XmFTp8ZWKOa02eSWmRcc9Eg4Zs1v/8TEelLmWsuEhERERERERERkZq4uEhERERERERERER24eIiERERERERERER2YWLi0RERERERERERGQXbRcXl3/+GWK6dsFdrZrh8ccewR9797rl3JTdv2D0qGfRtXM0WkaGYuuWzU7JCch5DlSZKWuuzln5WtX7+Mucq8pMWXP5tarvsZI1U9ZcFWY64/X/+ceLMOLJx9Cj8z3o270Txo8djbQTx2zus2bVSrw4Yige6hyFLvc0w6WLuXZnVuF5lTVT1lwVsq74Yhke7dsL0VFtEB3VBoMf748ff9jhcEb+DFDj+MucKWuuKjNlzVVlpqy5umfVvT/g5ouLOTk5+OSTT5w+d/26tZg1IwHDR47C8pWrEBoahhHDn0ZWVpbbzTUa8xESGor41yY4lO2fZGRVZSaz8rWqykxmVWemSll1/1pVKSv7u+frf89vu9G732NI/PAzzJy3EFeuXMEro4fDaMy33qegoAB3RbXHwCefsftxAHWeV91fqzLm1qlTB8+9MAafffEVPlv+Je6+Jwovjh6F//55xKGcuv8MUOX4Myv7695fpay697cSbuz3338XHh4e5f484+WSt74P9xPjJ0y0fpxnMov20dEiMWlBqZ/r7Ln5hWXfQkJCxJp1m0q9n6yslWUms/K1qspMZlVnpjtllfG1WpavV3fpr9KxYn85M2W8/k/lmIrd9h09I0JCQsR3W/9z3W1rNv8oQkJCxMG0jOtuU+155WvV+XPzTJZybXfeeZdYumxFiffh72vqHH9mZX/2rxxZK3v/snLpmYu5ubklbhcvXnT6Y14uLETqgf2IatvOus/DwwNRUe2wd89vbjdXBhlZVZnJrHytqjKTWdWZqVpWGVTqr0pW9lfn9Z936RIAwM/P36lzVXledX+typx7jdlsxvp138FozEfzFi0dnudsqhwrlY6/7lnZX+/+KmXVvX9RLl1crFmzJgICAordOnbs6PTHzDmfA7PZjMDAQJv9gYGByMzMdLu5MsjIqspMZuVrVZWZzKrOTNWyyqBSf1Wysr8ar3+LxYL35kxHZPNWaNioiVNnq/K86v5alTn3yOFDaHd3a9zTpjmmvPUmZr+TiEaNGts9TxZVjpVKx1/3rOyvd3+Vsurev6gqDk9wgK+vL1577TXcc889N7z9yJEjGD58eIkzTCYTTCaTzT7h6QUvLy+n5SQiIiIi+qe5M6fg2NE/MW/BEldHoUro9oYNsfzLVbh08SI2b9qAN15/FYs++tQtFxiJiEhvLl1cbN26NQCgU6dON7y9Zs2aEEKUOCMhIQETJ0602ffa+Al4/Y03b3j/gJoB8PT0vO6ClVlZWQgKCipj8oqbK4OMrKrMZFa+VlWZyazqzFQtqwwq9VclK/u7/+t/7swp2PXj93hnwceoXecWp89X5XnV/bUqc27VqtVQv34DAEDTiEjs37cPy5Z+gtcnTLJ7pgyqHCuVjr/uWdlf7/4qZdW9f1Eu/bPogQMHlniG4S233IIJE0p+J7P4+HhcuHDBZhsbF1/s/atWq4bwphFI3rXTus9isSA5eSeat2hV/hKS58ogI6sqM5mVr1VVZjKrOjNVyyqDSv1Vycr+7vv6F0Jg7swp+PH7rZj93ocIrltPyuOo8rzq/lqVOfefhLCgsLDQafOcRZVjpdLx1z0r++vdX6WsuvcvyqVnLg4bNqzE2+vUqVPq4qKX1/V/Al1wpeTHHTRkKMaPi0NERCQimzXH0k+XwGg0ok9s3zLlrsi5+fl5SEtLs358+vQpHDyYCn9/fwQH13WrrKrMZFa+VlWZyazqzFQpq+5fqyplZX/3fP3PnTkFWzasxeSZc3GTjw+ys65ep8jHpwa8vL0BANlZmcjOysTpU1cf6+ifR3CTjw9urhMMP/+yv/GLKs+r7q9VGXPnvTMb7aM7Ijg4GHl5eVi3dg12//Izkt5f5FBO3X8GqHL8mZX9de+vUlbd+1/j0sVFAEhNTcWuXbvQtm1bhIWF4eDBg5g7dy5MJhOeeOIJdOnSxemP2T3mQeRkZyMpcR4yMzMQGhaOpAWLEOjgqaAy5u7ftw/Dnhps/Xj2jAQAQM/esXhryjS3yqrKTGbla1WVmcyqzkyVsur+tapSVvZ3z9f/6q++AAC8OOIpm/2vjH8L3R/qc/U+X6/AJ4vmW2974dknr7tPWajyvOr+WpUxNzs7G+Nfi0NmRgZq+PqiSZNQJL2/CFHt2juUU/efAaocf2Zlf937q5RV9/7XGERpFzWUaP369ejduzdq1KiB/Px8rFq1CoMHD0aLFi1gsVjw/fffY+PGjeVeYCztzEV3IuPZNxicP5OIr1UiNcj6qc6vV1KFjK+B7Dzn/ylqYI1qTp9JarFYnP9iNUj4Zs3v/0RE+vIu4ymJLr3m4qRJkzB27FhkZWXho48+wsCBAzFs2DBs2rQJW7ZswdixYzFtmv3/BY2IiIiIiIiIiIjkcemZi/7+/khJSUHjxo1hsVjg5eWFn3/+Ga1aXb2Y5L59+3D//ffj7Nmz5ZrLMxedP5OIr1UiNfDMRdIdz1wkVfDMRSIicndKnLkI/P0D0MPDA97e3vAvcpFrX19fXLhwwVXRiIiIiIiIiIiIqAQuXVy8/fbbceTIEevHO3fuRP369a0fp6WlITg42BXRiIiIiIiIiIiIqBQufbfoESNGwGw2Wz+OjIy0uX3dunVS3i2aiIiIiIiIiIiIHOfSay7KotI1F4lUYZHwrcKDF/Ehcjpec5FIDVfMcr5YPT14zT1VXDZbnD6zqqfLr3pFRESViDLXXCQiIiIiIiIiIiI1cXGRiIiIiIiIiIiI7MLFRSIiIiIiIiIiIrILFxeJiIiIiIiIiIjILlxcJCIiIiIiIiIiIru4xeKixXLjd0qzWCxIS0uT8pjLP/8MMV274K5WzfD4Y4/gj7173Xau7ll17y9rrjNnfvjBAjzevx/a390aXTq2w4ujR+H4saMOZ5SRVbWZsubqnlXn/im7f8HoUc+ia+dotIwMxdYtmx3OeI0K/WXOVWWmrLmqzJQ119kzFyS9izbNw2y2vr1iHM4p63uAzsdK1txz6ekYH/8K7usQhfZ3tUT/vr1wYP8+t8spc64qM2XN1T0r++vdX9ZcVWbKmisrq0sXF3Nzc/Hoo4/Cx8cHderUwRtvvAGz2Wy9PSMjAw0bNnT6465ftxazZiRg+MhRWL5yFUJDwzBi+NPIyspyu7m6Z9W9vypZf939C/oPGIhPPv8C8xcuxpXLVzDi/56BMT/f7oyysqo0k1nVmalSVqMxHyGhoYh/bYLdM25Elf4qZWV/vfsDQKNGTbBh6w/W7cMlnzs0D5DzPYDHyvlzc3Mv4OkhA1GlShXMTVqIFavW4MWX4+Dn5+dWOWXOVWUms6ozU6WsuvdXKavu/a2EC40ePVqEhISIlStXig8++EA0aNBA9OjRQ5hMJiGEEGfPnhUGg6Hcc42XS976PtxPjJ8w0fpxnsks2kdHi8SkBaV+bkXP1T2r7v3dKWteoaXM28mzmSIkJETs+Cm5xPup1F/341+Zslb2/vmFZd9CQkLEmnWbynRfVfqrdKzYX+/+FwssJW6z3p4rHurZq9T7/XOT8T1A92Mla25ugbnYbcq0GeLR/gNKvM+NNpX6V5aZzKrOTJWy6t5fpayVvX9ZufTMxW+++QYLFixAv3798Mwzz2D37t3IyMhAz549YTKZAAAGg8Gpj3m5sBCpB/Yjqm076z4PDw9ERbXD3j2/udVc3bPq3l+1rEVdunQRAODv7+/QHFX68/irk1X3/rKo1F+VrOyvd/9r0k6cwAP3dUCvmPvx2qsv48yZvxyaJwOPlZy5O7ZvQ3hEBOLGvICundpj4KN9serLFXZnlJVT1lxVZjKrOjNVyqp7f5Wy6t6/KJcuLmZkZKBBgwbWj4OCgrB582ZcvHgRDz74IPLL8CeVJpMJubm5Ntu1hckbyTmfA7PZjMDAQJv9gYGByMzMtLuLjLm6Z9W9v2pZr7FYLJg1bSpatmqNxk1CHJqlSn8ef3Wy6t5fFpX6q5KV/fXuDwCRzVrgzckJSJy/CK++PgF/nT6FZ558Anl5l+yeKQOPlZy5p0+dxFcrlqN+/QZ49/0P0O/RxzBr+lSs+fc3bpVT1lxVZjKrOjNVyqp7f5Wy6t6/KJcuLtavXx+pqak2+3x9fbFx40YYjUbExsaWOiMhIQH+/v4228zpCbIiE1EpEiZPwp9/HsG0mW+7OgoREZGy2nfoiK7duqNJSCjate+Aee8txMWLudi0Yb2ro1EFsFgEwsKbYtTzLyIsvCn69nsUfR5+BF+tXO7qaERERNdx6eJit27d8NFHH123v0aNGtiwYQO8vb1LnREfH48LFy7YbGPj4ou9f0DNAHh6el53wcqsrCwEBQWVv4TEubpn1b2/alkBYNqUSfjh++34YPEnqHPLLQ7NAtTpz+OvTlbd+8uiUn9VsrK/3v1vxNfPDw0a3I6TJ084baYz8FjJmRtUOwgN72hks69hwztw9uwZt8opa64qM5lVnZkqZdW9v0pZde9flEsXFydOnIg333zzhrf5+vpi06ZN2Lp1a4kzvLy84OfnZ7N5eXkVe/+q1aohvGkEknfttO6zWCxITt6J5i1a2dVD1lzds+reX6WsQghMmzIJW7dsxoLFH+PWevXsmlMRWVWZyazqzFQtqwwq9VclK/vr3f9G8vPzcOrkSQQF1XbaTGfgsZIzt0XL1jhx/LjNvhMnjiM4uK5b5ZQ1V5WZzKrOTJWy6t5fpay69y+qisMTHBAQEICzZ8/io48+Qtu2bREWFoaDBw9i7ty5MJlMeOKJJ9ClSxenP+6gIUMxflwcIiIiEdmsOZZ+ugRGoxF9Yvu63Vzds+reX5WsCZMnYd3aNZgz7z34+PggMzMDAFCjhm+ZzkCuyKwqzWRWdWaqlDU/Pw9paWnWj0+fPoWDB1Ph7+/v0D9aVemvUlb217v/nFnT0fHezggOrouMjHNYkJQID08PdI95yO6ZgJzvAbofKxlzBw4agqcGD8TiDxag6wPdsf+PP7Dqy5V4bcJEt8opc64qM5lVnZkqZdW9v0pZde9/jUsXF9evX4/evXujRo0ayM/Px6pVqzB48GC0aNECFosF3bp1w8aNG52+wNg95kHkZGcjKXEeMjMzEBoWjqQFixDo4KmgMubqnlX3/qpkXfnFMgDAsKGDbfZPnDwVvfo49o1Khf6yZjKrOjNVyrp/3z4Me+rvr9XZM65ep7hn71i8NWWaW2XV/Vixv979z51Lx7i4Mbhw/jwCAmqhZes2+HjpFwioVcvumYCc7wG6HysZcyMim2HWnHlInDsHixYkoe6t9TDmlVcR06OnW+WUOVeVmcyqzkyVsureX6Wsuve/xiCEEA5PsVO7du3QpUsXTJ48GcuXL8fIkSMxYsQITJkyBcDV6ymmpKRg48aN5ZpbcEVGWiK9WSR8q/AwGJw+k0h3sn6q88uVyLmumOV8sXp6OP+LlV//clw2W5w+s6qnS696RURElYx3GU9JdOnior+/P1JSUtC4cWNYLBZ4eXnh559/RqtWV//ee9++fbj//vtx9uzZcs3l4iKR83FxkUgNXFwkUgMXF4mLi0RE5O7Kurjo8p8+hv/9tuLh4QFvb2/4+/tbb/P19cWFCxdcFY2IiIiIiIiIiIhK4NLFxdtvvx1Hjhyxfrxz507Ur1/f+nFaWhqCg4NdEY2IiIiIiIiIiIhK4dI3dBkxYgTMZrP148jISJvb161bJ+XdoomIiIiIiIiIiMhxLr3moiy85iKR8/Gai0Rq4DUXidTAay4Sr7lIRETurqzXXHTpmYtEpA4uBBKpgV+qRGqo4inni9VYaC79TuVUvZqn02cSEZHzyfiPzPzdksqC/2mLiIiIiIiIiIiI7MLFRSIiIiIiIiIiIrILFxeJiIiIiIiIiIjILlxcJCIiIiIiIiIiIrtou7i4/PPPENO1C+5q1QyPP/YI/ti7123n6p5V9/6y5qoyU9ZcVWbKmqt7VvbXu7+suarMlDVXlZmy5rpj1t9SdmPM8yPxUNdOiGrVFN9v22xzuxACC5PeRY+uHdEpqhX+NfwppJ04XuE5K3quKlnPpadjfPwruK9DFNrf1RL9+/bCgf373C6nzLmqzJQ1V/es7O/cmSm7f8HoUc+ia+dotIwMxdYtm0v/pDLisdK7PwBAuJjFYhFHjx4Vly9fFkIIYTKZxPLly8WSJUtERkaGXTONl0veVq3+TkRERIhlK74U+1KPiPhxr4s2d94pTp3NLPVzK3qu7ll1769SVvbXu79KWdlf7/4qZWV/vfvbOzc774p1W7Nhq5g6Y7b4+tv1IiQkRKxas97m9ncS3xetW7cR36zZIJJ/2y+eHjZc3Nu5iziTnWdzP5X6q5Q1t8Bc7HbqXLbodO+9YszYOPHTL7+J1D9PiI1bd4gDR46V+Hkq9a8sM5lVnZkqZbV3Zn5h8dvGLdvFjFlvizVrN4qQkBCxZt2mEu9/beOx0rt/Wbl0cfHgwYOiQYMGwsPDQzRu3FgcPXpUtGnTRvj4+IibbrpJBAUFicOHD5d7bmlPaN+H+4nxEyZaP84zmUX76GiRmLTAoYMvY67uWXXvr1JW9te7v0pZ2V/v/iplZX+9+9s7t+iiYNHtn4uLWZcui7bt2ol35y+07ks7myMiIyPFF1+tLtfiojv1VylrSYuEU6bNEI/2H1DifexZXHSn/pVlJrOqM1OlrPbOLMtiYX6hcOriIo9V5e5fVi79s+i4uDi0aNECv//+Ox566CH06NED9erVQ05ODrKzs9G2bVtMmjTJqY95ubAQqQf2I6ptO+s+Dw8PREW1w949v7nVXN2z6t5fpazsr3d/lbKyv979VcrK/nr3lzn3mr9On0JWZibuuqetdV8NX19ERDbHH3t/d3lO3Y/Vju3bEB4RgbgxL6Brp/YY+GhfrPpyhd0ZZeWUNVeVmcyqzkyVssr+/u9MPFZ69y/KpYuLP/30EyZOnIhmzZph8uTJOHjwIF5++WVUrVoVXl5eePXVV7Fjx44SZ5hMJuTm5tpsJpOp2PvnnM+B2WxGYGCgzf7AwEBkZmba3UXGXN2z6t5fpazsr3d/lbKyv979VcrK/nr3lzn3mqz/zahVK8hmf63AQGRllX2+Sv1Vynr61El8tWI56tdvgHff/wD9Hn0Ms6ZPxZp/f+NWOWXNVWUms6ozU6Wssr//OxOPld79i3Lp4uKlS5dQq1YtAICPjw98fHwQHBxsvf22225Denp6iTMSEhLg7+9vs82cniA1NxERERERkSwWi0BYeFOMev5FhIU3Rd9+j6LPw4/gq5XLXR2NiIjoOi5dXKxbty7S0tKsH8+YMQM333yz9eOMjAwEBASUOCM+Ph4XLlyw2cbGxRd7/4CaAfD09ERWVpbN/qysLAQFBRXzWaWTMVf3rLr3Vykr++vdX6Ws7K93f5Wysr/e/WXOvSbwfzOys23PVsjOykJgYNnnq9RfpaxBtYPQ8I5GNvsaNrwDZ8+ecaucsuaqMpNZ1ZmpUlbZ3/+dicdK7/5FuXRx8f7778fBgwetH48YMQK+vr7Wjzdu3IjWrVuXOMPLywt+fn42m5eXV7H3r1qtGsKbRiB5107rPovFguTknWjeopXdXWTM1T2r7v1Vysr+evdXKSv7691fpazsr3d/mXOvqXtrPQQGBeGX5F3WfXmXLmH/vr1o1ryly3PqfqxatGyNE8eP2+w7ceI4goPrulVOWXNVmcms6sxUKavs7//OxGOld/+iqjg8wQHvv/9+ibf3798fQ4YMcfrjDhoyFOPHxSEiIhKRzZpj6adLYDQa0Se2r9vN1T2r7v1Vysr+evdXKSv7691fpazsr3d/Z8zNz8/DqZN//5XQX6dP4/ChVPj5+eOW4LroP3AwPl60ALfVb4C6t9bDwqR5CKp9Mzp2vq9Cc1bkXFWyDhw0BE8NHojFHyxA1we6Y/8ff2DVlyvx2oSJbpVT5lxVZjKrOjNVyipjZn5+ns1fjp4+fQoHD6bC39/fof9wwWOld/9rXLq4CACpqanYtWsX2rZti7CwMBw8eBBz586FyWTCE088gS5dujj9MbvHPIic7GwkJc5DZmYGQsPCkbRgkfXPQ9xpru5Zde+vUlb217u/SlnZX+/+KmVlf737O2Nu6oH9GDXsSevHc2dPBwA82LMP3pg0FYOefBoFRiOmTZ6ASxcvonnL1njnvYUl/hWQjJwVOVeVrBGRzTBrzjwkzp2DRQuSUPfWehjzyquI6dHTrXLKnKvKTGZVZ6ZKWWXM3L9vH4Y9Ndj68ewZV9+romfvWLw1ZZpbZZU1V5WZqmUFAIMQQjg8xU7r169H7969UaNGDeTn52PVqlUYPHgwWrRoAYvFgu+//x4bN24s9wJjwRVJgYmIiIiI3Jix0Oz0mdWreTp9JgGXzRanz6zq6dKrXhGRi8lY3TEYnD+T1OFdxlMSXfrTZ9KkSRg7diyysrLw0UcfYeDAgRg2bBg2bdqELVu2YOzYsZg2zf4VdCIiIiIiIiIiIpLHpWcu+vv7IyUlBY0bN4bFYoGXlxd+/vlntGp19WKS+/btw/3334+zZ8+Way7PXCQiIiIiHfHMRXXwzEUicjaeuUjOpsSZiwBg+N8r1cPDA97e3vD397fe5uvriwsXLrgqGhEREREREREREZXApYuLt99+O44cOWL9eOfOnahfv77147S0NAQHB7siGhEREREREREREZXCpe8WPWLECJjNf//pRmRkpM3t69atk/Ju0UREREREREREROQ4l15zURaVrrlokfD0e/CiCCSBjOsCVfGQc/I0vwSI1MCfgURquGKW88+FKp78eiVypsyLhVLmBvlWkzKX1KDSdRx53WHnU+aai0RERERERERERKQmLi4SERERERERERGRXbi4SERERERERERERHbh4iIRERERERERERHZRdvFxeWff4aYrl1wV6tmePyxR/DH3r1uN/fDDxbg8f790P7u1ujSsR1eHD0Kx48ddUpOZ2dVbaasuTpnPZeejvHxr+C+DlFof1dL9O/bCwf273NoZsruXzB61LPo2jkaLSNDsXXLZofmFaXCcypzru5Z2d/9+/NnoLyZsuaqMlPWXJ2zLkh6F22ah9lsfXvFOJxTRlZZM2XNVWWmrLmqzJQ115GZny9ZhJFDH8NDXe7BwzGdMP6V0Th54pj19twLF/DurKkY8mhPxHS6EwN6d0Xi7ARcunSxwrNW5ExZc1WZKWOuu/6b7beU3Rjz/Eg81LUTolo1xffbbHMJIbAw6V306NoRnaJa4V/Dn0LaieMVnrOi58rK6paLi126dMGJEyekzV+/bi1mzUjA8JGjsHzlKoSGhmHE8KeRlZXlVnN/3f0L+g8YiE8+/wLzFy7GlctXMOL/noExP9+hnDKyqjSTWZ0/Mzf3Ap4eMhBVqlTB3KSFWLFqDV58OQ5+fn52ZwQAozEfIaGhiH9tgkNz/kmF55RZ1ZqpUlZV+vNnoDrHSqWZzCova6NGTbBh6w/W7cMlnzs0T1ZW3Y8V++vTf+9vu9Hr4ceQuOgzzJi3EOYrV/DK88NhNF79OZqVeQ5ZmRkY/twYfPjZKrwyfjJ+3vUfzJpS/t+73bG/6llV6u+u/2YzGvPRJCQUL8ePv+Htn378IVYsW4q4cROw6JPlqF69Ol4Y9X8wmUwVmrMi58rKCgAQLvTvf//7hpunp6dITEy0flxexsslb30f7ifGT5ho/TjPZBbto6NFYtKCUj/X2XPzCi1l3k6ezRQhISFix0/JJd5PVtbKMpNZ7ZuZW2AudpsybYZ4tP+AEu9zoy2/UJR5CwkJEWvWbSrTfVV5TlU6/pUpK/u7T3/+DFTnWFWWmcxq38yLBZYSt1lvzxUP9exV6v3+uanSX6Vjxf569z+ZbSp2++O/Z0RISIj4bst/ir3P0pWrRUREhDh+Ls9mvyr9VTpWKvWX8W82WVmz867ccAsJCRGr1qy3fpx16bJo266deHf+Quu+tLM5IjIyUnzx1Wqbz1XpWMmYWVYuPXOxT58+iI2NRZ8+fWw2i8WC5557znq7M10uLETqgf2IatvOus/DwwNRUe2wd89vbje3qGunqPv7+zs0R0ZWVWYyq5yZO7ZvQ3hEBOLGvICundpj4KN9serLFXbNkk2V55RZ1ZmpUlaV+v8Tfwa677FSZSazyv1aTTtxAg/c1wG9Yu7Ha6++jDNn/nJonkr9VcnK/nr3z7t0CQDg61f8z9FLly7hJp8a8KxSxaVZdT9WKvWXRXbWv06fQlZmJu66p611Xw1fX0RENscfe393eU6VXlfWWQ5PcMADDzyAmJgYnD17FhaLxbp5enpi3759sFgsMJvNTn3MnPM5MJvNCAwMtNkfGBiIzMxMt5t7jcViwaxpU9GyVWs0bhLi0CwZWVWZyaxyZp4+dRJfrViO+vUb4N33P0C/Rx/DrOlTsebf39g1TyZVnlNmVWemSllV6l8UfwY6Z6ZKWXXvr1rWyGYt8ObkBCTOX4RXX5+Av06fwjNPPoG8vEt2z1SpvypZ2V/f/haLBe+9Mx2RzVuhYaMmN7zPhfM5WPrRAvTo3c+lWWXNVCmrSv1lkZ01638zatUKstlfKzAQWVlln6/SsZL9nJb9P0lIsG7dOsyZMwd33nknkpKS8NBDD5V7hslkuu5v4oWnF7y8vJwV0y0kTJ6EP/88go8+cfz6NUTOZrEINI2IwKjnXwQAhIU3xX//PIKvVi7HQ737uDYcESmPPwOJ3Fv7Dh2t/79JSCiaNWuBHt27YNOG9ejTt3wLFUTkfPNmTsHx//6JuQuX3PD2vLxLGPfSKDS4/Q4MGTaigtMRUWXg8jd0efHFF7F69WrExcVh+PDhyC/nhdoTEhLg7+9vs82cnlDs/QNqBsDT0/O6C1ZmZWUhKCiomM8qnay5ADBtyiT88P12fLD4E9S55RaHZgFysqoyk1nlzAyqHYSGdzSy2dew4R04e/aMXfNkUuU5ZVZ1ZqqUVaX+1/BnoPsfK1VmMqvcr9WifP380KDB7Th50v43aFSpvypZ2V/P/vNmTcGu/3yP2UkfovbN1/8czc/Lw6svPIubbroJk6bPRZUqVV2WVeZMlbKq1F8W2VkD/zcjO9v2jL3srCwEBpZ9vkrHSvZz6vLFRQBo2bIldu/eDYPBgJYtW0IIUebPjY+Px4ULF2y2sXHxxd6/arVqCG8ageRdO637LBYLkpN3onmLVnZ3kDFXCIFpUyZh65bNWLD4Y9xar57d+WRnVWUms8qZ2aJla5w4ftxm34kTxxEcXNeueTKp8pwyqzozVcqqUn/+DFTnWKkyk1nlZf2n/Pw8nDp5EkFBte2eoVJ/VbKyv179hRCYN2sKfvx+K2Ylfojgutf/HM3Lu4RXnv8/VK1SFW/NehfV7PjrP3ftr3JWlfrLIjtr3VvrITAoCL8k77Luy7t0Cfv37UWz5i1dnlOl19U1Lv2z6KKqV6+O999/H6tXr8a2bdvKvHLq5XX9n0AXXCn5cwYNGYrx4+IQERGJyGbNsfTTJTAajegT29fe+FLmJkyehHVr12DOvPfg4+ODzMwMAECNGr7w9vZ2q6wqzWRW588cOGgInho8EIs/WICuD3TH/j/+wKovV+K1CRPtzghc/cdJWlqa9ePTp0/h4MFU+Pv7O7RwqcJzyqxqzVQpqyr9+TNQnWOl0kxmlTNzzqzp6HhvZwQH10VGxjksSEqEh6cHuseU/5JHsrPqfqzYX5/+82ZOwZaNa/HWjLm4yccH2f+7jpyPTw14eXsjL+8S4kYPR0GBEePenIb8vDzk5+UBAPz/d4ZTRWWtqJkqZVWpv7v+m+3qf+j6O9dfp0/j8KFU+Pn545bguug/cDA+XrQAt9VvgLq31sPCpHkIqn0zOna+r0JzVuRcWVkBN1hcTE1Nxa5du9C2bVuEhYUhJCQEa9euxauvvoonnngCXbp0cfpjdo95EDnZ2UhKnIfMzAyEhoUjacEi66mx7jJ35RfLAADDhg622T9x8lT06uPYwZfxHKgyk1mdPzMishlmzZmHxLlzsGhBEureWg9jXnkVMT162p0RAPbv24dhT/39+p894+olD3r2jsVbU6bZPVeF55RZ1ZqpUlZV+vNnoDrHSqWZzCpn5rlz6RgXNwYXzp9HQEAttGzdBh8v/QIBtWrZPVNWVt2PFfvr03/1118AAF4a+ZTN/rGvv4XuD/XBkYOpSN2/FwAwqN+DNvf57Ov1uKXurRWWtaJmqpRVpf7u+m+21AP7MWrYk9aP586eDgB4sGcfvDFpKgY9+TQKjEZMmzwBly5eRPOWrfHOewvL/f4dKh0rWVkBwCDK8zfITrZ+/Xr07t0bNWrUQH5+PlatWoXBgwejRYsWsFgs+P7777Fx48ZyLzCWduaiO7FIePo9DAanzyS6bLY4fWYVDzlXZuCXAJEa+DOQSA1XzHL+uVDFk1+vRM6UebFQytwg32pS5pIaZKwYyfp1zVhodvrM6tXKfhZvZeRdxlMSXXrNxUmTJmHs2LHIysrCRx99hIEDB2LYsGHYtGkTtmzZgrFjx2LaNPtXuomIiIiIiIiIiEgel5656O/vj5SUFDRu3BgWiwVeXl74+eef0arV1YtJ7tu3D/fffz/Onj1brrk8c5H/FZicj2cuEpGz8WcgkRp45iKRGnjmIsnAMxd55mJZuPzdog3/e1V5eHjA29sb/v7+1tt8fX1x4cIFV0UjIiIiIiIiIiKiErh0cfH222/HkSNHrB/v3LkT9evXt36clpaG4OBgV0QjIiIiIiIiIiKiUrj03aJHjBgBs/nv01YjIyNtbl+3bp2Ud4smIiIiIiIiIiIix7n0mouyqHTNRSIiIiLSj8Ui51dwg4QLWcm6NpZK1/GSwXTZ+dezrlbF+X+YptJzSkTOx2tk602Zay4SERERERERERGRmri4SERERERERERERHbh4iIRERERERERERHZhYuLREREREREREREZBdtFxeXf/4ZYrp2wV2tmuHxxx7BH3v3uu1c3bPq3l/WXFVmypqrykxZc3XPyv5695c1V5WZsuaqMlPWXGfPXPHFMjzatxeio9ogOqoNBj/eHz/+sMPhnCm7f8HoUc+ia+dotIwMxdYtmx2eCTi/v6ycgBqvK7PZjPffm4veD96PDve0ROxD3fDhwiQ4+l6cqj2vqsyUNVf3rOzv/v0//GABHu/fD+3vbo0uHdvhxdGjcPzYUafkdHZW1WbKmisrq9stLh47dgybNm3Cvn37pD3G+nVrMWtGAoaPHIXlK1chNDQMI4Y/jaysLLebq3tW3furlJX99e6vUlb217u/SlnZX+/+derUwXMvjMFnX3yFz5Z/ibvvicKLo0fhv38esXsmABiN+QgJDUX8axMcmlOUjP4ycgLqvK4++WgRvlq5HGNffR1ffP0d/vX8GHz68YdYsWypQzlVel5Vmcms6sxUKasq/X/d/Qv6DxiITz7/AvMXLsaVy1cw4v+egTE/36GcMrKqNFO1rAAA4UIjRowQFy9eFEIIkZ+fLx5++GHh4eEhDAaD8PDwEJ07d7beXh7GyyVvfR/uJ8ZPmGj9OM9kFu2jo0Vi0oJSP7ei5+qeVff+KmVlf737q5SV/fXur1JW9q/c/fNMlnJvd955l1i6bEWJ98kvFGXeQkJCxJp1m0q9n6zn1Nk5ZWaVMfd8vrnYbejTw8SYV1612Td8xCgx+oUxJX6eK46/O31dqXT8mZX9VemfV2gp83bybKYICQkRO35KLvF+lel5dadjJWNmWbn0zMUFCxYg/38r2m+99RaSk5OxefNmXLp0CTt27EBaWhqmTJni1Me8XFiI1AP7EdW2nXWfh4cHoqLaYe+e39xqru5Zde+vUlb217u/SlnZX+/+KmVlf737/5PZbMb6dd/BaMxH8xYtnTLTWSqiv7Oo9Lpq3qIVdifvwokTxwAAhw8dxJ7ffkW79h3szimLKl9XKh1/3bOyvzr9/+nSpYsAAH9/f4fmqPK8qnSsZB9/ly4uiiLXDPn2228xY8YMdO7cGTfddBPat2+Pt99+G19//bVTHzPnfA7MZjMCAwNt9gcGBiIzM9Ot5uqeVff+KmVlf737q5SV/fXur1JW9te7/zVHDh9Cu7tb4542zTHlrTcx+51ENGrU2KGZziazv7Op9Loa8tQwdO3+IB7t0wNt72yGQY/1xWOPD0b3Hj3tzimLKl9XKh1/3bOyvzr9i7JYLJg1bSpatmqNxk1CHJqlyvOq0rGSffyrODzBQQaDAQBw9uxZNG/e3Oa2Fi1a4OTJkyV+vslkgslkstknPL3g5eXl3KBERERERBXo9oYNsfzLVbh08SI2b9qAN15/FYs++tTtFhjJ+TZvXIf1a9fgrYSZuKNRExw+lIq3ZyYgqPbNeKhXH1fHIyK6TsLkSfjzzyP46JPPXR2FXMDlb+gyfvx4vPTSS/Dw8MBff/1lc1tWVhZ8fHxK/PyEhAT4+/vbbDOnJxR7/4CaAfD09LzugpVZWVkICgqyu4eMubpn1b2/SlnZX+/+KmVlf737q5SV/fXuf03VqtVQv34DNI2IxOgXxiAkJAzLln7i0Exnk9nf2VR6Xc2bMwtDhj6Dbt17oHGTEDz4UG8MeGIIlixeaHdOWVT5ulLp+Ouelf3V6X/NtCmT8MP32/HB4k9Q55ZbHJoFqPO8qnSsZP+8duniYseOHXHo0CH89ttvaNq0KU6cOGFz+9q1axEREVHijPj4eFy4cMFmGxsXX+z9q1arhvCmEUjetdO6z2KxIDl5J5q3aGV3Fxlzdc+qe3+VsrK/3v1Vysr+evdXKSv7692/OEJYUFhY6NSZjqrI/o5S6XVVUGCEwcP2n2qeHp6wWCx255RFla8rlY6/7lnZX53+QghMmzIJW7dsxoLFH+PWevXszic7qyozVct6jUv/LHr79u0l3j5w4EA8+eSTJd7Hy+v6P4EuuFLy4w4aMhTjx8UhIiISkc2aY+mnS2A0GtEntm8ZUlfsXN2z6t5fpazsr3d/lbKyv979VcrK/nr3n/fObLSP7ojg4GDk5eVh3do12P3Lz0h6f5HdMwEgPz8PaWlp1o9Pnz6FgwdT4e/vj+DgunbNlNFfRk5ZWWXM7dCxMz5etAC33BKMOxo1waFDB/D50o/Rs7djOVV6XlWZyazqzFQpqyr9EyZPwrq1azBn3nvw8fFBZmYGAKBGDV94e3u7VVaVZqqWFXCDay6mpqZi165daNeuHUJDQ3Hw4EHMnTsXJpMJTzzxBLp06eL0x+we8yBysrORlDgPmZkZCA0LR9KCRQh08FRQGXN1z6p7f5Wysr/e/VXKyv5691cpK/vr3T87OxvjX4tDZkYGavj6okmTUCS9vwhR7drbPRMA9u/bh2FPDbZ+PHvG1csJ9ewdi7emTLNrpoz+MnLKyipj7suvvo4F783FjIRJyMnORlDtmxH78KN4ZvhIh3Kq9LyqMpNZ1ZmpUlZV+q/8YhkAYNjQwTb7J06eil59HFuwUuV5VeVYycwKAAZR9C2b/5+9ew+Lssz/B/5mEMcCOQiWWOuhDOUgeEBDREvEEts8ZamZWm3+ytx1y3QT0zykQaZmZpRmW5bmoXbdysQ8bZaFmFQQCqZmnvIAiKKAA87cvz/6MuuUAg5z88zN/X5d13NdzTPMZ95vHuRw98wzdWzjxo0YMGAAfHx8UFpainXr1mHUqFGIioqCzWbD9u3bsWnTpmteYKzuzEUiIiIiIiPZbHJ+Ba98s0TXznT5SACAjL9CZGWVwVLh+pc4N2zg+qteqfQ5JSLXs0n4Zm3iNxZlNKrhKYmGXnNx1qxZmDRpEgoLC/HOO+/gwQcfxJgxY7B582Zs3boVkyZNQkqK8/8HjYiIiIiIiIiIiOQx9MxFPz8/ZGZmok2bNrDZbDCbzdi1axc6dvztYpI5OTlISEjAyZMnr2kuz1wkIiIiInfGMxd55iLPXCQiFfDMRb0pceYi8L9fgEwmExo1agQ/Pz/7fY0bN8a5c+eMikZERERERERERERVMHRxsVWrVti/f7/9dnp6Olq0aGG/feTIEQQHBxsRjYiIiIiIiIiIiKph6LtFjx07Flar1X47IiLC4f60tDQp7xZNREREREREREREtWfoNRdl4TUXiYhIVzKuiwPw2jhEpAaVrg0m47qbJpPrs8r6a5E/VohcT/dr2ZLrKXPNRSIiIiIiIiIiIlITFxeJiIiIiIiIiIjIKVxcJCIiIiIiIiIiIqdwcZGIiIiIiIiIiIicwsVFIiIiIiIiIiIicoqhi4sWiwUVFRX22wcPHsRzzz2HkSNHYurUqTh06JC05179wUok9olHl47tMWLY/fgxO9tt5+qeVff+suaqMlPWXFVmypqre1ad+7/91hKMGDoE3bt2QnzPWDw9fhx+OfRzrXPKyCprpqy5qsyUNVeVmbLm6p5Vhf4yv/+5OuvaNavwwOD+iIvpjLiYzhg1Yih2fPWl2+UEgMzd32L8uCfQp1ccOkS0xbatW1ySE9D3a1XmTFlzVZkpa64KM1X7typrriozZc2VlRXCQHfccYf48MMPhRBC7NixQ5jNZhEZGSmGDh0qOnbsKK6//nrxzTffXPPcsoqqt3WffCbCw8PFqrUfiZzc/SJpylTROTpaHDtZUO1j63qu7ll1769SVvbXu79KWet7/5JyW5Xbw488Klat/Uhk790nvsveKx79yxjR8447RcHZC1U+TpX+Kh0r9mf/+pLVnfob8f3P6awW21W3DZ9vERs3/1fs/elnsXffQfHSy/NFWFi4yN6zr8rHychZWl71tmnrF2LuvAVi/YZNIiQkRKxP21ztY0rL+bXKrOwvY2Z9+bfqbp9XnfvXlKGLi76+vuKnn34SQvy20Pj000873D916lTRvXv3a55b3Sd08H1DxLTpM+23SyxW0T0uTixOXVKrgy9jru5Zde+vUlb217u/Slnre//qFhd/vx09WSBCQkLEl99k1OqPa3fpr9KxYn/2ry9Z3am/Ed//nM5axSLhlbbo6C5ixaq1tVpcdCZnTRYfKjdXLljU969VZmV/GTPry79Vd/u86ty/pgx9WbTVaoXVagUA5OXlYfTo0Q73P/zww8jKynLpc1aUlyN37x7EdIu17zOZTIiJiUV21vduNVf3rLr3Vykr++vdX6Wsuve/kgsXzgMA/Pz8nJ6hUn9VsrK/3v1VyqpS/99zxfc/QH5Wq9WKjWmfoaysFJFRHdw2pyvp/rWqe1b21/vfqqy5qsxULat9Vq0n1MLtt9+OTz/9FABw6623/mEh8YcffkCTJk2qnGGxWFBcXOywWSyWq3580dkiWK1WBAYGOuwPDAxEQUGBk03kzNU9q+79VcrK/nr3Vymr7v1/z2azYV7Ki+jQsRPa3Bbi9ByV+quSlf317q9SVpX6X85V3/8AeVn3/7QPsV074fbOkZjzwgzMX7gYt97axu1yyqD716ruWdlf73+rsuaqMlO1rJUa1HpCLcyePRuJiYkoKSnB8OHD8cwzz2D//v0IDQ3Fvn37sGjRIiQlJVU5Izk5GTNnznTY99y06Zj6/AyJyYmIiNSXPHsWDhzYj3fe+8DoKEREdUqF73+tWrfG6o/W4cL589iy+XM8P3Uylr3zfq0WGImIiGQwdHGxW7duSEtLw4QJE5CRkQEAmDNnDgCgefPmmDFjBv7+979XOSMpKQkTJkxw2Cc8zVf9+AD/AHh6eqKwsNBhf2FhIYKCgpypIW2u7ll1769SVvbXu79KWXXvf7mUObPw1fYv8PbyFbixWbNazVKpvypZ2V/v/iplVal/JVd+/wPkZfXyaogWLVoCAMLCI7AnJwerVryHqdNnuVVOGXT/WtU9K/vr/W9V1lxVZqqWtZKhL4sGfltgTE9Px6lTp5Ceno6vv/4aP//8M44dO1btwiIAmM1m+Pr6Omxm89UXF70aNkRoWDgydqbb99lsNmRkpCMyqqPTPWTM1T2r7v1Vysr+evdXKavu/QFACIGUObOwbesWLPnnu7jp5pudniUzq+7Hiv317q9SVpX6y/j+JyvrlQhhQ3l5udOPr6ucrqD716ruWdlf73+rsuaqMlO1rJUMPXMRAHJzc7Fz507Exsbi9ttvR15eHl566SVYLBY89NBDiI+Pd/lzjhz9CKZNeRbh4RGIaB+JFe8vR1lZGQYOGux2c3XPqnt/lbKyv979Vcqqe//k2bOQtmE9Xln0Ory9vVFQkA8A8PFpjEaNGrlVVt2PFfvr3V+lrKr0l/X9T0bWRQvno3tcTwQHB6OkpARpG9Zj97e7kPrmMrfKCQClpSU4cuSI/fbx48eQl5cLPz8/BAc3d6usqnytMiv76/5vVdZcVWaqlhUweHFx48aNGDBgAHx8fFBaWop169Zh1KhRiIqKgs1mw1133YVNmza5fIGxb2I/FJ05g9TFi1BQkI+27UKRumQZAmt5KqiMubpn1b2/SlnZX+/+KmXVvf+Ha1YBAMY8Msph/8zZL6L/QOd/sVClv0pZ2V/v/iplVaW/rO9/MrKeOXMG0557FgX5+fBp3Bi33dYWqW8uQ0xsd7fKCQB7cnIw5tH/fU7nz00GANw7YBBemJPiVllV+VplVvbX/d+qrLmqzFQtKwB4CCFErac4KTY2FvHx8Zg9ezZWr16NJ598EmPHjrVfdzEpKQmZmZnYtGnTNc29eElGWiIiIvdnk/Rj3eThIWUuEZEryfgeKOv7n80mIavJ9Vll/bXIHytErifj3yv/reqtUQ1PSTR0cdHPzw+ZmZlo06YNbDYbzGYzdu3ahY4df3u9d05ODhISEnDy5MlrmsvFRSIi0hUXF4lIZ1xc5OIikc64uEiuVtPFRcPf0MXj/75STSYTGjVqBD8/P/t9jRs3xrlz54yKRkRERERERERERFUwdHGxVatW2L9/v/12eno6WrRoYb995MgRBAcHGxGNiIiIiIiIiIiIqmHoG7qMHTsWVqvVfjsiIsLh/rS0NCnvFk1ERERERERERES1Z+g1F2XhNReJiEhXvOYiEemM11zkNReJdMZrLpKr1fSai4aeuUhE6lDpf0PwByDpjIuARK6n0oKV7lT6vF6SsLjopVB/IlIDfwZSTRj+hi5ERERERERERESkJi4uEhERERERERERkVO4uEhERERERERERERO4eIiEREREREREREROUXbxcXVH6xEYp94dOnYHiOG3Y8fs7Pddq7uWXXvL2uuq2dm7v4W48c9gT694tAhoi22bd1S64wyZlZS4XMqc67uWdlf7/6y5qoyU9ZcVWa6eu7bby3BiKFD0L1rJ8T3jMXT48fhl0M/uySnq7OqNlPWXBWy9k/sjS5RoX/YXnpxVq0y8vc1NY6/zJmy5qoyU9ZcFWbK+LfKn4HyZsqaKyuroYuL//rXv1BaWlrnz7sxbQPmzU3G40+Ow+oP16Ft23YY+/hfUFhY6HZzdc+qe3+VspaVlSKkbVskPTfd6Rl1MRNQ53PKrOrMVCmr7v1Vysr+avT/bve3GDr8Qbz3wRq8sfSfuFRxCWP/32Moc8HvuKp8XlU5ViplXb7yQ6Rt/dK+LV7yNgAgoU/fWuXk72tqHH9mZX9V/l7jz0B+rdoJA3l4eAhfX18xZswYsXPnTpfNLauoeht83xAxbfpM++0Si1V0j4sTi1OXVPvYup6re1bd+7tT1tLymm8hISFifdrma3qMK2eq8jlV6fjXp6zsr3d/lbKyv/v0Lym31Xg7erJAhISEiC+/yajy4+rT59WdjpVKWc+VWWu8PT/zBRHfO0GcLb1U5cfx9zV1jj+zsr+MmTL+rfJnoN5fqzVl+MuiJ06ciN27d6Nbt26IiIjAwoULXbNqehUV5eXI3bsHMd1i7ftMJhNiYmKRnfW9W83VPavu/VXLqgqVPqfMqsZMlbLq3l+lrOyvTv/fu3DhPADAz8+vVnNU+byqdKxUyuowv6IcaZ99iv4DB8PDw6PW81Sg+/HXPSv7q/v3Gn8G6vW1ejnDFxcff/xxfPfdd/j222/Rs2dPzJw5EzfddBMeeOABbN68udrHWywWFBcXO2wWi+WqH190tghWqxWBgYEO+wMDA1FQUOB0Dxlzdc+qe3/VsqpCpc8ps6oxU6WsuvdXKSv7q9P/cjabDfNSXkSHjp3Q5raQWs1S5fOq0rFSKevlvti2FRfOn8ef+w+q9SxV6H78dc/K/mr+vcafga6ZqVrWSoYvLlbq3LkzUlNTceLECbz11lvIz89H37590bp16yofl5ycDD8/P4ft5ZeS6yg1EREREdFvkmfPwoED+5Hy8gKjo1A98sm6f6Fb9x5oesMNRkchIroq/gzUWwMjn/xKp/U3atQII0eOxMiRI3HgwAG88847Vc5ISkrChAkTHPYJT/NVPz7APwCenp5/eOl1YWEhgoKCriG9/Lm6Z9W9v2pZVaHS55RZ1ZipUlbd+6uUlf3V6V8pZc4sfLX9C7y9fAVubNasVrMAdT6vKh0rlbJWOvHrcezKSMfcBYtqNUc1uh9/3bOyv3p/r/FnoJ5fq5cz9MxFIUSV97dp0wZz5syp8mPMZjN8fX0dNrP56ouLXg0bIjQsHBk70+37bDYbMjLSERnV8doKSJ6re1bd+6uWVRUqfU6ZVY2ZKmXVvb9KWdlfnf5CCKTMmYVtW7dgyT/fxU033+x0PtlZVZnJrP/z6cfrENCkCbr3uKNWc1Sj+/HXPSv7q/P3Gn8G6v21ejlDz1w8dOgQmjZtWufPO3L0I5g25VmEh0cgon0kVry/HGVlZRg4aLDbzdU9q+79VcpaWlqCI0eO2G8fP34MeXm58PPzQ3Bwc7eZCajzOWVWdWaqlFX3/iplZX81+ifPnoW0DevxyqLX4e3tjYKCfACAj09jNGrUyK2yqjSTWX/7o+/Tj/+Ne+4diAYNXPNnG39fU+f4656V/dX4e40/A/m1WsnQxcWWLVsiNzcXO3fuRLdu3dCuXTvk5eXh1VdfhcViwUMPPYT4+HiXP2/fxH4oOnMGqYsXoaAgH23bhSJ1yTIE1vJUUBlzdc+qe3+Vsu7JycGYR0fZb8+f+9u1T+8dMAgvzElxm5mAOp9TZlVnpkpZde+vUlb2V6P/h2tWAQDGPDLKYf/M2S+i/8Da/bKuyudVlWOlWtZdO9Nx8sSJWn8dXY6/r6lz/HXPyv5q/L3Gn4H8Wq3kIap7bbJEGzduxIABA+Dj44PS0lKsW7cOo0aNQlRUFGw2G7Zv345NmzZd8wLjxUuSAhNpzLjvFNfuCpdzJSIicppNwg9BE39Yaa/8ks3lM7083eb9OqvFfwJErifjbzYB/gzUWaManpJo6E+fWbNmYdKkSSgsLMQ777yDBx98EGPGjMHmzZuxdetWTJo0CSkpzv/fLiIiIiIiIiIiIpLH0DMX/fz8kJmZiTZt2sBms8FsNmPXrl3o2PG3i0nm5OQgISEBJ0+evKa5PHORyPV45iIREemKZy6SDDxz0egERPUPz1wkV1PizEUA8Pi/LyqTyYRGjRrBz8/Pfl/jxo1x7tw5o6IRERERERERERFRFQxdXGzVqhX2799vv52eno4WLVrYbx85cgTBwcFGRCMiIiIiIiIiIqJqGPpu0WPHjoXVarXfjoiIcLg/LS1NyrtFExERERERERERUe0Zes1FWXjNRSIi0pXNJufHusnEa+MQEbnS4YJSl89sGXS9y2fK+muRl1xzPR4rkvE1wOOvN2WuuUhERERERERERERq4uIiEREREREREREROYWLi0REREREREREROQULi4SERERERERERGRU7RdXFz9wUok9olHl47tMWLY/fgxO9tt5+qeVff+suaqMlPWXFVmypqre1ad+69dswoPDO6PuJjOiIvpjFEjhmLHV1/WOqeMrLJmypqrykxZc1WZKWuu7ll171/buRv+sxZ/e+QBDE2Mw9DEOEwaOwqZO3fY75/y98fQ/46ODlvq/Nl1nvNKMnd/i/HjnkCfXnHoENEW27ZuqdW8y+ly/OtqJo+VvLkqzFTt+Muaq8pMWXNlZTV8cTErKwv//Oc/8fPPPwMA9uzZgyeffBJPPPEEPv/8cynPuTFtA+bNTcbjT47D6g/XoW3bdhj7+F9QWFjodnN1z6p7f5Wysr/e/VXKqnv/G2+8EX976hmsXPMvrFz9EbreHoOnx4/DwQP7nZ4pK6vux4r99e6vUlbd+7tiblDTGzH68b/hlbdWYsHSlYjs1BVznnsaRw4dtH/MXX8ejOX/3mzfHn7iqTrPeSVlZaUIadsWSc9Nd3rGleh0/OtqJo+VOll1P/6y5qoyU7WsAABhoH/961/C09NTBAYGCh8fH7F582bh7+8vEhISxN133y08PT3FypUrr3luWUXV2+D7hohp02fab5dYrKJ7XJxYnLqk2sfW9Vzds+reX6Ws7K93f5Wy1vf+JRbbNW/R0V3EilVrq/wYVfqrdKzYn/3rS1bd+zs7N+9ESZVbp87RYtGyFSLvRIkY/MBw8cyUGdU+RkbO0vKabyEhIWJ92uYafazux5/HSu9jJWtmfTn+7vZ51bl/TRl65uKcOXMwc+ZMFBQU4K233sL999+PCRMmYPPmzdi4cSNeeuklvPzyyy59zorycuTu3YOYbrH2fSaTCTExscjO+t6t5uqeVff+KmVlf737q5RV9/6/Z7VasTHtM5SVlSIyqoPTc1Tqr0pW9te7v0pZde8vY67VasWXWzfi4sUytAuPtO/fvnkDRvTvhb8+PATLly6C5WKZoTll0vn4y8wqg0r9Vcmq+/GXNVeVmapltc+q9YRa2LdvH0aMGAEAGDp0KEpKSjBw4ED7/YMGDcKBAwdc+pxFZ4tgtVoRGBjosD8wMBAFBQVuNVf3rLr3Vykr++vdX6WsuvevtP+nfYjt2gm3d47EnBdmYP7Cxbj11jZOz1OpvypZ2V/v/ipl1b2/K+f+cnA/Hugbi/v63I43FszBlNnz0aLVrQCAnr0TMWHqHMx5ZSmGjHgUX2z6DPNnTzUkZ13Q8fjXRVYZVOqvSlbdj7+suarMVC1rpQa1nlALjRs3RmFhIVq1aoWzZ8/i0qVLDq/1LiwshI+PT5UzLBYLLBaLwz7haYbZbJaSmYiISHWtWrfG6o/W4cL589iy+XM8P3Uylr3zfq0WGImIqHZuatEKC5etRmnJBXy9fQsWvvg8Xly0DC1a3Yq+/e+zf1yrW29DQGAQpj39OE4cP4rgm/5kYGoiIiKDz1xMSEjAuHHjsHLlSowePRp33XUXkpKSkJeXh3379mHSpEmIi4urckZycjL8/PwctpdfSr7qxwf4B8DT0/MPF6wsLCxEUFCQ011kzNU9q+79VcrK/nr3Vymr7v0reXk1RIsWLREWHoHxTz2DkJB2WLXiPafnqdRflazsr3d/lbLq3t+Vc728vND85hZo0zYMo//feLRuE4JPP1p1xY9tG9oeAHDi+NE6z1kXdDz+dZFVBpX6q5JV9+Mva64qM1XLWsnQxcV58+bB19cXTzzxBMrLy7FmzRpER0cjLCwMoaGh+PXXX5GSklLljKSkJJw7d85hm/Rs0lU/3qthQ4SGhSNjZ7p9n81mQ0ZGOiKjOjrdRcZc3bPq3l+lrOyvd3+Vsure/2qEsKG8vNzpx6vUX5Ws7K93f5Wy6t5f5lybTaCi4srfm38+sA8AEBB4DYuXdfhzpbZ0P/48VnofK92Pv6y5qsxULWslQ18WfeONN2LTpk0O+1577TU8/fTTKC0tRbt27dCgQdURzeY/vgT64qWqn3fk6EcwbcqzCA+PQET7SKx4fznKysowcNBgp3rInKt7Vt37q5SV/fXur1JW3fsvWjgf3eN6Ijg4GCUlJUjbsB67v92F1DeXOT1TVlbdjxX7691fpay693fF3OVLF6Hz7d3R9IZglJWWYPvWNOT8sBszXk7FieNHsX1LGqJj4tDY1x+//PwT3l48H+FRndD61pA6zXklpaUlOHLkiP328ePHkJeXCz8/PwQHN3d6rk7Hv65m8lipk1X34y9rriozVcsKGLy4CAC5ubnYuXMnYmNj0bZtW+Tl5eHVV1+FxWLBQw89hPj4eJc/Z9/Efig6cwapixehoCAfbduFInXJMgTW8lRQGXN1z6p7f5Wysr/e/VXKqnv/M2fOYNpzz6IgPx8+jRvjttvaIvXNZYiJ7e70TFlZdT9W7K93f5Wy6t7fFXPPFZ3Bwhen4UxhAby9fdDq1tsw4+VUdOwSg/zTJ5GVmYFPP/oAFy+WIajpjejWszeGjnqsznNeyZ6cHIx5dJT99vy5v12i6t4Bg/DCnKpfhVbXWd31+NfVTB4rdbLqfvxlzVVlpmpZAcBDCCFqPcVJGzduxIABA+Dj44PS0lKsW7cOo0aNQlRUFGw2G7Zv345NmzZd8wJjdWcuEhER1Vc2m5wf6yaTh5S5RES6OlxQ6vKZLYOud/lMWX8tevDHisvxWJGMrwEef701quEpiYZec3HWrFmYNGkSCgsL8c477+DBBx/EmDFjsHnzZmzduhWTJk2q9pqLREREREREREREZAxDz1z08/NDZmYm2rRpA5vNBrPZjF27dqFjx98uJpmTk4OEhAScPHnymubyzEUiItIVz1wkIlIDz1yUM1dnPFbEMxfJ1ZQ4cxEAPP7vK9VkMqFRo0bw8/Oz39e4cWOcO3fOqGhERERERERERERUBUMXF1u1aoX9+/fbb6enp6NFixb220eOHEFwcLAR0YiIiIiIiIiIiKgahr5b9NixY2G1Wu23IyIiHO5PS0uT8m7RREREREREREREVHuGXnNRFl5zkYiIdMXrLRERqaGs3Fr9B10jcwPXvzCN19wlUgevuUiupsw1F4mIiIiIiIiIiEhNXFwkIiIiIiIiIiIip3BxkYiIiIiIiIiIiJzCxUUiIiIiIiIiIiJyiraLi6s/WInEPvHo0rE9Rgy7Hz9mZ7vtXN2z6t5f1lxVZsqaq8pMWXN1z6pz/8zd32L8uCfQp1ccOkS0xbatW2qdsZIK/WXOVWWmrLmqzJQ1V/esuvev7dzvM3fjmb8/iT/3uQMxHcOw/b+O35uFEFia+hru6dMTd8R0xF8ffxRHDv9yTfnWrlmFBwb3R1xMZ8TFdMaoEUOx46svr2lGVVQ5Vu54/Otypqy5qsyUNVeFmar9DihrriozZc2VldUtFhe3bduGWbNmYezYsRg3bhzmz5+P/fv3S3u+jWkbMG9uMh5/chxWf7gObdu2w9jH/4LCwkK3m6t7Vt37q5SV/fXur1JW3fuXlZUipG1bJD033ekZV6JKf5Wysr/e/VXKqnt/V8wtKyvFbSFtMTFp2hXvf//dt7F21Qo8O2U6lr23Gtdddx2eGvf/YLFYapzxxhtvxN+eegYr1/wLK1d/hK63x+Dp8eNw8EDt/+5S5Vi56/Fn1rqZqVJW3X8HlDVXlZmqZQUACAOdOnVKdO3aVZhMJtGgQQNhMplE586dRbNmzYSnp6eYNGmSU3PLKqreBt83REybPtN+u8RiFd3j4sTi1CXVPrau5+qeVff+KmVlf737q5S1vvcvLa/5FhISItanba7Rx6rSX6Vjxf7sX1+y6t7f2blnSi5dcQsJCRHr1m+03y68UCG6xcaK195Yat935GSRiIiIEGv+9YnDY0sstmvaoqO7iBWr1lb5MfXpWLnT8WdW9pcxs778Duhun1ed+9eUoWcujh8/Hs2bN0dRUREuXLiAJ598EuHh4Thx4gQ2bdqEf/7zn3j11Vdd+pwV5eXI3bsHMd1i7ftMJhNiYmKRnfW9W83VPavu/VXKyv5691cpq+79ZVGpvypZ2V/v/ipl1b2/zLmVfj1+DIUFBehyezf7Pp/GjREeEYkfs39waqbVasXGtM9QVlaKyKgOtcqnyrFS6fjrnpX99f4dUNZcVWaqltU+q9YTaiEtLQ2zZ8+Gr68vzGYzUlJSsGrVKhQXFyM+Ph4LFy7EG2+84dLnLDpbBKvVisDAQIf9gYGBKCgocKu5umfVvb9KWdlf7/4qZdW9vywq9VclK/vr3V+lrLr3lzm3UuH/zWjSJMhhf5PAQBQWXtv8/T/tQ2zXTri9cyTmvDAD8xcuxq23tqlVPlWOlUrHX/es7K/374Cy5qoyU7WslRrUekItmM1meHh42G+bTCZYrVZcunQJABAbG4tffvmlyhkWi+UP1xoRnmaYzWaX5yUiIiIiIlJVq9atsfqjdbhw/jy2bP4cz0+djGXvvF/rBUYiItKboWcuxsXF4fnnn0dJSQkqKiowZcoU3HLLLWjSpAkAID8/HwEBAVXOSE5Ohp+fn8P28kvJV/34AP8AeHp6/uGClYWFhQgKCrrKo6onY67uWXXvr1JW9te7v0pZde8vi0r9VcnK/nr3Vymr7v1lzq0U+H8zzpxxPLPkTGEhAgOvbb6XV0O0aNESYeERGP/UMwgJaYdVK96rVT5VjpVKx1/3rOyv9++AsuaqMlO1rJUMXVycN28efvjhB/j7+8Pb2xvvvvuuw8ugc3Nz8fDDD1c5IykpCefOnXPYJj2bdNWP92rYEKFh4cjYmW7fZ7PZkJGRjsiojk53kTFX96y691cpK/vr3V+lrLr3l0Wl/qpkZX+9+6uUVff+MudWan7TzQgMCsK3GTvt+0ouXMCenGy0j+xQq9lC2FBeXl6rGaocK5WOv+5Z2V/v3wFlzVVlpmpZKxn6suhbbrkF2dnZ+Prrr2GxWBATE+OwYlrdwiLw20urf/8S6IuXqn7MyNGPYNqUZxEeHoGI9pFY8f5ylJWVYeCgwc7UkDpX96y691cpK/vr3V+lrLr3Ly0twZEjR+y3jx8/hry8XPj5+SE4uLlbZdX9WLG/3v1Vyqp7f1fMLS0twbGj//ve/Ovx4/hpXy58ff3QLLg5hj44Cu8uW4I/tWiJ5jfdjKWpixDU9Ab07NW7xhkXLZyP7nE9ERwcjJKSEqRtWI/d3+5C6pvLrrnv76lyrNz1+DNr3cxUKavuvwPKmqvKTNWyAgYvLgLA4cOHcezYMXTr1g1BQUHIy8vDq6++CovFgoceegjx8fEuf86+if1QdOYMUhcvQkFBPtq2C0XqkmX2lxy401zds+reX6Ws7K93f5Wy6t5/T04Oxjw6yn57/tzfLiVy74BBeGFOiltl1f1Ysb/e/VXKqnt/V8zN3bsH48Y8bL/96vyXAAD97h2I52e9iJEP/wUXy8qQMns6Lpw/j8gOnbDw9aXXdJ35M2fOYNpzz6IgPx8+jRvjttvaIvXNZYiJ7X5NXa9ElWPlrsefWetmpkpZdf8dUNZcVWaqlhUAPIQQotZTnLRx40YMGDAAPj4+KC0txbp16zBq1ChERUXBZrNh+/bt2LRp0zUvMFZ35iIREVF9Jeun+mXvv0ZERC5QVm51+UxzA9df9cpk4g8AIlXI+D2QvwPqrVENT0k09JqLs2bNwqRJk1BYWIh33nkHDz74IMaMGYPNmzdj69atmDRpElJSnF9BJyIiIiIiIiIiInkMPXPRz88PmZmZaNOmDWw2G8xmM3bt2oWOHX+7mGROTg4SEhJw8uTJa5rLMxeJiEhXPHORiEgNPHORiFyNZy6Sqylx5iIAePzfV6rJZEKjRo3g5+dnv69x48Y4d+6cUdGIiIiIiIiIiIioCoYuLrZq1Qr79++3305PT0eLFi3st48cOYLg4GAjohEREREREREREVE1DH236LFjx8Jq/d/LASIiIhzuT0tLk/Ju0URERERERERERFR7hl5zURZec5GIiIiIiNyZzeb6P8NkXB/xYoXrrw0JAI28PKXMJSIi11HmmotERERERERERESkJi4uEhERERERERERkVO4uEhERERERERERERO4eIiEREREREREREROcXQd4sGgF27diE9PR0nT54EADRr1gzdunVD165dDU5GREREREREREREVTHszMXTp0+jR48eiImJwSuvvIJt27Zh27ZteOWVVxATE4MePXrg9OnT0p5/9QcrkdgnHl06tseIYffjx+xst52re1bd+8uaq8pMWXNVmSlrru5Z2V/v/rLmqjJT1lxVZsqaq3tW3fu7eu7aNavwwOD+iIvpjLiYzhg1Yih2fPWl2+WsVFJSggVzkzEgsTd63t4Rj416EHtzfnTLrCocf5kzZc1VZaasuarMlDVX96y69wcACIPcd999olu3biIvL+8P9+Xl5YnY2FgxZMgQp2aXVVS9rfvkMxEeHi5Wrf1I5OTuF0lTporO0dHi2MmCah9b13N1z6p7f5Wysr/e/VXKyv5691cpK/vr3V+lrLr3d3ZuicV21W3D51vExs3/FXt/+lns3XdQvPTyfBEWFi6y9+yr8nEychaVXqp2e/Kv48XdfRPFtq92iuy8g2Lu/IWiY6dOYt+h41d9jO7Hn1nZn/3rR9b63r+mDFtc9PHxEd99991V79+9e7fw8fFxanZ1n9DB9w0R06bPtN8usVhF97g4sTh1Sa0Ovoy5umfVvb9KWdlf7/4qZWV/vfurlJX99e6vUlbd+zs7t6pFwitt0dFdxIpVa2u1uOhMzuoWFk+cuSBCQ0PFpxu3Ouy/d8BAkTx3vtOLi/X9+DMr+7N//cha3/vXlGEvizabzSguLr7q/efPn4fZbHb581aUlyN37x7EdIu17zOZTIiJiUV21vduNVf3rLr3Vykr++vdX6Ws7K93f5Wysr/e/VXKqnt/mXMrWa1WbEz7DGVlpYiM6uB2Oa1WK6xWK8zmhg77zeZGyPr+O7fJqtLx1z0r++vdX6Wsuve/nGGLi0OHDsXo0aOxbt06h0XG4uJirFu3Do888giGDx9e7RyLxYLi4mKHzWKxXPXji84WwWq1IjAw0GF/YGAgCgoKnO4jY67uWXXvr1JW9te7v0pZ2V/v/iplZX+9+6uUVff+Mufu/2kfYrt2wu2dIzHnhRmYv3Axbr21jdvl9Pb2RvvIDvjn0jeRf/o0rFYr0j77BDnZP6CgIN9tsqp0/HXPyv5691cpq+79L2fY4uKCBQuQmJiIYcOGISAgANdddx2uu+46+Pv7Y9iwYUhMTMS8efOqnZOcnAw/Pz+H7eWXkuugARERERERkRytWrfG6o/W4b2Va3D/A8Pw/NTJOHjwgNGxrmjGnBQICPz5rjvRo2sHrP1gJe7q2w8mk2F/bhIRUR1qYNQTm81mvPHGG3jppZewe/dunDp1CgBw4403Ijo6Gr6+vjWak5SUhAkTJjjsE55Xfzl1gH8APD09UVhY6LC/sLAQQUFB19hC7lzds+reX6Ws7K93f5Wysr/e/VXKyv5691cpq+79Zc718mqIFi1aAgDCwiOwJycHq1a8h6nTZ7lVTgC4+U8t8Obb76GsrBQlF0oQ1LQpnvvHBDS/6Wa3yarS8dc9K/vr3V+lrLr3v5zh/yvJ19cX8fHxGD58OIYPH46+ffvi+PHjNX682WyGr6+vw1bVtRq9GjZEaFg4Mnam2/fZbDZkZKQjMqqj0z1kzNU9q+79VcrK/nr3Vykr++vdX6Ws7K93f5Wy6t5f5tzfE8KG8vJypx9fFzmvu+56BDVtiuLic9j5zdfoeWe822RV6fjrnpX99e6vUlbd+1/OsDMXf3+2YSWr1YqUlBT768AXLFjg8uceOfoRTJvyLMLDIxDRPhIr3l+OsrIyDBw02O3m6p5V9/4qZWV/vfurlJX99e6vUlb217u/Sll17y9j7qKF89E9rieCg4NRUlKCtA3rsfvbXUh9c5lb5ay085sdEEKgZavWOHrkCF575WW0bN0a9w4Y5FZZVTn+zMr+uvdXKavu/SsZtri4cOFCREVFwd/f32G/EAK5ubnw9vaGh4eHlOfum9gPRWfOIHXxIhQU5KNtu1CkLlmGwFqeCipjru5Zde+vUlb217u/SlnZX+/+KmVlf737q5RV9/4y5p45cwbTnnsWBfn58GncGLfd1hapby5DTGx3t8pZ6cL580h9bSFOnzoJXz8/9Op9F8b+9e9o4OXlVllVOf7Myv6691cpq+79K3kIIUStpzghJSUFS5cuxbJlyxAf/7/T5b28vJCVlYWwsDCnZ1+85IqEREREREREcthsrv8zzGRy/ckZFyusLp8JAI28PKXMJSIi12lUw1MSDbvm4uTJk7FmzRqMHTsWEydOREVFhVFRiIiIiIiIiIiIyAmGvqFLly5dkJmZifz8fERHRyMnJ0faS6GJiIiIiIiIiIjItQy75mIlHx8fLF++HKtXr0ZCQgKsVjmn3RMREREREREREZFrGXbNxSs5duwYMjMzkZCQAG9vb6fn8JqLRERERETkznjNRV5zkYjI3dX0motutbjoKlxcJCIiIiIid8bFRS4uEhG5u5ouLhr+smgiIiJynUtWOf/PsIEnr4lMRORKMq41L+O0ES4CqsMm6bwhE98XgYiqYegbuhAREREREREREZG6uLhIRERERERERERETuHiIhERERERERERETmFi4tERERERERERETkFLddXCwqKsJ7770nbf7qD1YisU88unRsjxHD7seP2dluO1f3rLr3lzVXlZmy5qoyU9Zc3bPq3H9J6mvoHNnOYRvcP7HWOWVklTVT1lxVZsqaq8pMWXN1z6p7fxlzM3d/i/HjnkCfXnHoENEW27ZuqXVGGTMrqXKsVDn+Mma+/dYSjBg6BN27dkJ8z1g8PX4cfjn0c61zysgqa6asuarMlDVX96y69wcACDf1ww8/CJPJ5NRjyyqq3tZ98pkIDw8Xq9Z+JHJy94ukKVNF5+hocexkQbWPreu5umfVvb9KWdlf7/4qZa3v/c9ftFW5zVvwqkhMvEccOnbKvh05UVjt41Tpr9KxYn/2ry9Zde/v7NzS8qq3TVu/EHPnLRDrN2wSISEhYn3a5mofI2NmfTpW7nT8ZcwsKbdVuT38yKNi1dqPRPbefeK77L3i0b+MET3vuFMUnL1Q5eNU6a/SsWL/+pO1vvevKcMWF8+dO1fl9tVXX0lbXBx83xAxbfpM++0Si1V0j4sTi1OX1Orgy5ire1bd+6uUlf317q9S1vrevyaLi3++t3+1H3eti4vu0l+lY8X+7F9fsure39m517Io6KrFRWdm1qdj5U7HX8bM6hYXf78dPVkgQkJCxJffZNRqcdFd+qt0rNi//mSt7/1ryrCXRfv7+yMgIOCqW8+ePaU8b0V5OXL37kFMt1j7PpPJhJiYWGRnfe9Wc3XPqnt/lbKyv979Vcqqe/9KRw4fxt29e6B/YgKemzwRJ078Wqt5KvVXJSv7691fpay695c5VxWqHCuVjn9dfU1duHAeAODn5+f0DJX6q5JV9/4qZdW9/+UMW1xs3LgxkpOTsW3btituS5curdEci8WC4uJih81isVz144vOFsFqtSIwMNBhf2BgIAoKCpzuI2Ou7ll1769SVvbXu79KWXXvDwAR7aMwY3YyFr+xDJOnTsevx4/hsYcfQknJBadnqtRflazsr3d/lbLq3l/mXFWocqxUOv518TVls9kwL+VFdOjYCW1uC3F6jkr9Vcmqe3+Vsure/3INaj3BSZ06dQIA3HHHHVe839/fH0KIauckJydj5syZDvuemzYdU5+fUeuMRERE9U33Hv97ZcBtIW3Rvn0U7ukbj82fb8TAwUMMTEZERER1JXn2LBw4sB/vvPeB0VGIqB4wbHHxwQcfRFlZ2VXvb9asGaZPn17tnKSkJEyYMMFhn/A0X/XjA/wD4OnpicLCQof9hYWFCAoKqvb56nKu7ll1769SVvbXu79KWXXvfyWNfX3RsmUrHD162OkZKvVXJSv7691fpay695c5VxWqHCuVjr/sr6mUObPw1fYv8PbyFbixWbNazVKpvypZde+vUlbd+1/OsJdFjxkzBuPHj//D/sqzFW+88cYaLS6azWb4+vo6bGbz1RcXvRo2RGhYODJ2ptv32Ww2ZGSkIzKqoxNN5M3VPavu/VXKyv5691cpq+79r6S0tATHjh5FUFBTp2eo1F+VrOyvd3+VsureX+ZcVahyrFQ6/rKyCiGQMmcWtm3dgiX/fBc33Xyz07NkZtX9WOneX6Wsuve/nGFnLl6N2WxGVlYWQkNDpT3HyNGPYNqUZxEeHoGI9pFY8f5ylJWVYeCgwW43V/esuvdXKSv7691fpay6939l3kvoeWcvBAc3R37+aSxJXQyTpwl9E//s9ExZWXU/Vuyvd3+VsureX9bc0tISHDlyxH77+PFjyMvLhZ+fH4KDm7vNTECdY6XS8ZcxM3n2LKRtWI9XFr0Ob29vFBTkAwB8fBqjUaNGbpVV92Ole3+Vsurev5Jhi4u/fylzJavVipSUFPtFJhcsWODy5+6b2A9FZ84gdfEiFBTko227UKQuWYbAWp4KKmOu7ll1769SVvbXu79KWXXvf/r0KUx59hmcO3sWAQFN0KFTZ7y7Yg0CmjRxeqasrLofK/bXu79KWXXvL2vunpwcjHl0lP32/LnJAIB7BwzCC3NS3GYmoM6xUun4y5j54ZpVAIAxj4xy2D9z9ovoP9D5xQVV+quUVff+KmXVvX8lD1GTd02RwGQyISoqCv7+/g77t2/fjujoaHh7e8PDwwPbtm275tkXL7koJBERkWIuWeX8WG/g6SFlLhGRroz5K+zaefDbvzJskr6oTPwiINJWoxqekmjY4mJKSgqWLl2KZcuWIT4+3r7fy8sLWVlZCAsLc3o2FxeJiEhXXFwkIlIDFxfJ1bi4SESuVtPFRcPe0GXy5MlYs2YNxo4di4kTJ6KiosKoKEREREREREREROQEwxYXAaBLly7IzMxEfn4+oqOjkZOTAw/+XxEiIiIiIiIiIiIlGP5u0T4+Pli+fDlWr16NhIQEWK1WoyMRERERERERERFRDRh2zcUrOXbsGDIzM5GQkABvb2+n5/Cai0REpCtec5GISA3u81dY1fjCMnXwmotE5Gpu/4YuMnFxkcj1rDbXf6vwNPEXFSIiIiJyDS6uERG5ltu/oQsRERERERERERGpjYuLRERERERERERE5BQuLhIREREREREREZFTuLhIRERERERERERETjF8cdFms111/5EjR6Q97+oPViKxTzy6dGyPEcPux4/Z2W47V/esuveXNVdWVgB4Z9lSdGrfDi+/9KJL5qnSn8dfnazsr3d/WXNVmSlrriozZc3VPavu/WXNVWWmrLmunvn2W0swYugQdO/aCfE9Y/H0+HH45dDPtc4pI6usmbLmqjJT1lxVZsqaq3tW3fsDAIRBzp07J+6//37RqFEjccMNN4hp06aJS5cu2e8/efKkMJlMTs0uq6h6W/fJZyI8PFysWvuRyMndL5KmTBWdo6PFsZMF1T62rufqnlX3/u6U9YLFVqMtIzNL3Nmrl7jnz/eK6bNmV/mxKvXX/fjXp6zsr3d/lbKyv979Vcqqe3+Vstb3/iXltiq3hx95VKxa+5HI3rtPfJe9Vzz6lzGi5x13ioKzF6p8nCr9VTpW7M/+9SVrfe9fU4YtLo4fP16EhISIDz/8ULz11luiZcuW4p577hEWi0UI8dviooeHh1Ozq/uEDr5viJg2fab9donFKrrHxYnFqUtqdfBlzNU9q+793SlrTRYWTxedFwl9+oitX+wQwx8c4ZLFRXfpr/vxr09Z2V/v/iplZX+9+6uUVff+KmWt7/2rW1z8/Xb0ZIEICQkRX36TUavFRXfpr9KxYn/2ry9Z63v/mjLsZdH/+c9/sGTJEgwZMgSPPfYYdu/ejfz8fNx7772wWCwAAA8PD5c/b0V5OXL37kFMt1j7PpPJhJiYWGRnfe9Wc3XPqnt/1bICQMqcWYjrcSduv2x2bajSn8dfnazsr3d/lbKyv979Vcqqe3+Vsure/0ouXDgPAPDz83N6hkr9VcnK/nr3Vymr7v0vZ9jiYn5+Plq2bGm/HRQUhC1btuD8+fPo168fSktLazTHYrGguLjYYatcnLySorNFsFqtCAwMdNgfGBiIgoIC58pImqt7Vt37q5b187TPkLd3L/721ASnZ/yeKv15/NXJyv5691cpK/vr3V+lrLr3Vymr7v1/z2azYV7Ki+jQsRPa3Bbi9ByV+quSlf317q9SVt37X86wxcUWLVogNzfXYV/jxo2xadMmlJWVYdCgQTWak5ycDD8/P4ft5ZeSZUQmoqs4efIEXk55EbNT5sFsNhsdh4iIiIioSsmzZ+HAgf1IeXmB0VGIiJTXwKgnvuuuu/DOO++gX79+Dvt9fHzw+eefo0+fPjWak5SUhAkTHM+UEp5XX9wI8A+Ap6cnCgsLHfYXFhYiKCiohunrZq7uWXXvr1LW3D17cOZMIUYMHWzfZ7Va8V3mbqxdtRI7M7Ph6enpFllVmcms6sxUKavu/VXKyv5691cpq+79Vcqqe//LpcyZha+2f4G3l6/Ajc2a1WqWSv1Vycr+evdXKavu/S9n2JmLM2fOxIwZM/6wXwiBxo0bY/Pmzdi2bVu1c8xmM3x9fR22qs6c8mrYEKFh4cjYmW7fZ7PZkJGRjsiojk51kTVX96y691cpa9eYGKz99ydY9eE6+xYWHoHEe+7Fqg/XObWwKCurKjOZVZ2ZKmXVvb9KWdlf7/4qZdW9v0pZde8P/Pa3ZsqcWdi2dQuW/PNd3HTzzU7PkplV92PF/nr3Vymr7v0vZ9iZiwEBAQgICPjDfrPZjKysLISGhuKOO+6Q8twjRz+CaVOeRXh4BCLaR2LF+8tRVlaGgYMGV//gOp6re1bd+6uS1dvb5w/Xqrnuuuvg5+9fq2vYyMiq0kxmVWemSll1769SVvbXu79KWXXvr1JW3fsnz56FtA3r8cqi1+Ht7Y2CgnwAgI9PYzRq1Mitsup+rNhf7/4qZdW9fyXDFhd//1LmSlarFSkpKfaLTC5Y4PprYPRN7IeiM2eQungRCgry0bZdKFKXLENgLU8FlTFX96y691ctqwyq9OfxVycr++vdX6Ws7K93f5Wy6t5fpay69/9wzSoAwJhHRjnsnzn7RfQf6Pwf16r0Vykr++vdX6Wsuvev5CGEELWe4gSTyYSoqCj4+/s77N++fTuio6Ph7e0NDw+PGr00+vcuXnJRSCKys9pc/63C0+Th8plEREREpCebpD9tTR78nZWI9NSohqckGra4mJKSgqVLl2LZsmWIj4+37/fy8kJWVhbCwsKcns3FRSLX4+IiEREREbkzLi4SEblWTRcXDXtDl8mTJ2PNmjUYO3YsJk6ciIqKCqOiEBERERERERERkRMMW1wEgC5duiAzMxP5+fmIjo5GTk4OPPh/hYiIiIiIiIiIiJRg2Bu6VPLx8cHy5cuxevVqJCQkwGq1Gh2JiIiIiIiIiIiIasCway5eybFjx5CZmYmEhAR4e3s7PYfXXCRyPV5zkYiIiIjcGa+5SETkWm7/hi4ycXGRiIh0dckq58d6A0/+YUVEREREpBO3f0MXIiIiIiIiIiIiUhsXF4mIiIiIiIiIiMgpXFwkIiIiIiIiIiIip3BxkYiIiIiIiIiIiJxi6OKiEAKHDh3CpUu/vQNLeXk51qxZg/feew8FBQVSn3v1ByuR2CceXTq2x4hh9+PH7Gy3nat7Vt37y5qrykxZc1WZKWuu7ll17r8k9TV0jmznsA3un1jrnDKyypopa64qM2XNVWWmrLm6Z9W9v6y5qsyUNVeVmbLm6p6V/fXuL2uuKjNlzZWVFcIgeXl5omXLlsJkMok2bdqIn3/+WXTu3Fl4e3uL66+/XgQFBYmffvrJqdllFVVv6z75TISHh4tVaz8SObn7RdKUqaJzdLQ4drKg2sfW9Vzds+reX6Ws7K93f5Wy1vf+5y/aqtzmLXhVJCbeIw4dO2XfjpworPZxqvRX6VixP/vXl6y691cpK/vr3V+lrOyvd3+Vstb3/jVl2OLigAEDRP/+/UV2drZ46qmnRGhoqBgwYIAoLy8XFy9eFPfee6946KGHnJpd3Sd08H1DxLTpM+23SyxW0T0uTixOXVKrgy9jru5Zde+vUlb217u/Slnre/+aLC7++d7+1X7ctS4uukt/lY4V+7N/fcmqe3+VsrK/3v1Vysr+evdXKWt9719Thr0s+ptvvsHMmTPRvn17zJ49G3l5eZg4cSK8vLxgNpsxefJkfPnlly5/3orycuTu3YOYbrH2fSaTCTExscjO+t6t5uqeVff+KmVlf737q5RV9/6Vjhw+jLt790D/xAQ8N3kiTpz4tVbzVOqvSlb217u/Sll1769SVvbXu79KWdlf7/4qZdW9/+UMW1y8cOECmjRpAgDw9vaGt7c3goOD7ff/6U9/wqlTp1z+vEVni2C1WhEYGOiwPzAwsFbXeZQxV/esuvdXKSv7691fpay69weAiPZRmDE7GYvfWIbJU6fj1+PH8NjDD6Gk5ILTM1Xqr0pW9te7v0pZde+vUlb217u/SlnZX+/+KmXVvf/lGtR6gpOaN2+OI0eOoEWLFgCAuXPn4oYbbrDfn5+fj4CAgGrnWCwWWCwWh33C0wyz2ezawERERPVA9x497f99W0hbtG8fhXv6xmPz5xsxcPAQA5MREREREZGKDDtzMSEhAXl5efbbY8eORePGje23N23ahE6dOlU7Jzk5GX5+fg7byy8lX/XjA/wD4OnpicLCQof9hYWFCAoKcqKJvLm6Z9W9v0pZ2V/v/ipl1b3/lTT29UXLlq1w9Ohhp2eo1F+VrOyvd3+VsureX6Ws7K93f5Wysr/e/VXKqnv/yxm2uPjmm2/iscce+8N+IQQAYOjQoVi2bFm1c5KSknDu3DmHbdKzSVf9eK+GDREaFo6Mnen2fTabDRkZ6YiM6uhEE3lzdc+qe3+VsrK/3v1Vyqp7/yspLS3BsaNHERTU1OkZKvVXJSv7691fpay691cpK/vr3V+lrOyvd3+Vsure/3KGvSz6asxmM7KyshAaGlrjj//9S6AvXqr6MSNHP4JpU55FeHgEItpHYsX7y1FWVoaBgwY7G1vaXN2z6t5fpazsr3d/lbLq3v+VeS+h5529EBzcHPn5p7EkdTFMnib0Tfyz0zNlZdX9WLG/3v1Vyqp7f5Wysr/e/VXKyv5691cpq+79Kxm2uDhhwoQr7rdarUhJSbFfZHLBggUuf+6+if1QdOYMUhcvQkFBPtq2C0XqkmUIrOWpoDLm6p5V9/4qZWV/vfurlFX3/qdPn8KUZ5/BubNnERDQBB06dca7K9Yg4P/eZM2dsup+rNhf7/4qZdW9v0pZ2V/v/iplZX+9+6uUVff+lTxE5euQ65jJZEJUVBT8/f0d9m/fvh3R0dHw9vaGh4cHtm3bds2zqztzkYiIqL66ZJXzY72Bp4eUuURERERE5J4a1fCURMMWF1NSUrB06VIsW7YM8fHx9v1eXl7IyspCWFiY07O5uEhERLri4iIREREREblCTRcXDXtDl8mTJ2PNmjUYO3YsJk6ciIqKCqOiEBERERERERERkRMMW1wEgC5duiAzMxP5+fmIjo5GTk4OPDx4ZgQREREREREREZEKDH+3aB8fHyxfvhyrV69GQkICrFar0ZGIiIiIiIiIiIioBgy75uKVHDt2DJmZmUhISIC3t7fTc3jNRSIi0hWvuUhERERERK7g9m/oIhMXF0l3Mv5V84oFRGqosNqkzPXyNPRKKkRE9Y5Nwi9sJv7CpoyLFa5/xZ65gafLZwL8O0Al/L5Crub2b+hCREREREREREREauPiIhERERERERERETmFi4tERERERERERETkFC4uEhERERERERERkVPcbnExPj4ehw8fNjoGERERERERERERVcOwxcVPPvnkituXX36J9evX22/LsvqDlUjsE48uHdtjxLD78WN2ttvO1T2r7v1lzM3c/S3Gj3sCfXrFoUNEW2zbusUtc8qcq8pMWXN1z6pz/9OnTmFa0j/Qu0cMunfpgKGD+2Pvnpxa55SRVdZMWXNVmSlrriozZc3VPavu/V099+23lmDE0CHo3rUT4nvG4unx4/DLoZ/dLqfsuarMlDG3pKQEC+YmY0Bib/S8vSMeG/Ug9ub8WKuZsv4GAPQ+VqrM5PcVtWbKmisrK4RBPDw8hMlkEh4eHlfdTCaTU7PLKqre1n3ymQgPDxer1n4kcnL3i6QpU0Xn6Ghx7GRBtY+t67m6Z9W9v7NzS8ur3jZt/ULMnbdArN+wSYSEhIj1aZurfYxK/evLTGZVZ6Y7ZS2+aL3qduz0GXHHnXeKZyY9K7759nuRe+Cw2LTtS7F3/6EqH1d80apMf5WOFfuzf33Jqnt/Z+eWlNuuuj38yKNi1dqPRPbefeK77L3i0b+MET3vuFMUnL1Q5eNU6l9fZjo7t6j0UpXbk38dL+7umyi2fbVTZOcdFHPnLxQdO3US+w4dv+pjZPwNYNTfAe50rFSaye8r9WOmO2WtKcMWF/v27SvuuececerUKYf9DRo0EHv27KnV7Oo+oYPvGyKmTZ/5v3+AFqvoHhcnFqcuqdXBlzFX96y693d2bk1+SajcXLW46E7968tMZlVnpjtlrWqBcE7KXPHA0OHVLiQ6s7joLv1VOlbsz/71Javu/Z2dW9Uf87/fjp4sECEhIeLLbzJqtQjgTv3ry0xn51a1sHjizAURGhoqPt241WH/vQMGiuS5851eXHTmbwCj/g5wp2Ol0kx+X6kfM90pa00Z9rLotLQ09O7dG9HR0Vi/fn2dPW9FeTly9+5BTLdY+z6TyYSYmFhkZ33vVnN1z6p7f5lzXU2l/qrMZFZ1ZqqU9csv/ovQ8HA8+8xT6HNHdzz4wGCs+2itU7NkZ9X9WLG/3v1Vyqp7f5lzL3fhwnkAgJ+fn9MzVOqvykxZc61WK6xWK8zmhg77zeZGyPr+O6ezyqD7sVJl5pXw+4p7zlQtq31WrSfUwtNPP41PPvkEzz77LB5//HGUlpZe8wyLxYLi4mKHzWKxXPXji84WwWq1IjAw0GF/YGAgCgoKrvn5Zc7VPavu/WXOdTWV+qsyk1nVmalS1uPHjuJfa1ejRYuWeO3NtzDkgWGY99KLWP/xf5yaJzOr7seK/fXur1JW3fvLnFvJZrNhXsqL6NCxE9rcFuL0HJX6qzJT1lxvb2+0j+yAfy59E/mnT8NqtSLts0+Qk/0DCgrync4qg+7HSpWZv8fvK+47U7WslQx/t+gOHTpg9+7d8PDwQIcOHSCEuKbHJycnw8/Pz2F7+aVkSWmJiIjUZbMJtAsNw7i/P412oWEYPOQBDLzvfvzrw9VGRyMioqtInj0LBw7sR8rLC4yOQnVoxpwUCAj8+a470aNrB6z9YCXu6tsPJpPhf8JTPcDvK+RqDYwOAADXXXcd3nzzTXzyySfYunUrgoKCavzYpKQkTJgwwWGf8DRf9eMD/APg6emJwsJCh/2FhYXX9Lx1MVf3rLr3lznX1VTqr8pMZlVnpkpZg5oGofUttzrsa936FmzbssmpeZVU6a9SVvbXu79KWXXvL3MuAKTMmYWvtn+Bt5evwI3NmtVqlkr9VZkpc+7Nf2qBN99+D2VlpSi5UIKgpk3x3D8moPlNNzs9Uwbdj5UqMy/H7yvuPVO1rJXc6n979O/fH2+88cYfylbFbDbD19fXYTObr7646NWwIULDwpGxM92+z2azISMjHZFRHZ3OLmOu7ll17y9zrqup1F+VmcyqzkyVskZ16ITDv/zisO/w4V8QHNzcqXmVVOmvUlb217u/Sll17y9rrhACKXNmYdvWLVjyz3dx0821X1BSqb8qM2XOrXTdddcjqGlTFBefw85vvkbPO+NrPdOVdD9WqswE+H1FlZmqZa1k2JmLvz/bsJLVakVKSor9deALFrj+NN2Rox/BtCnPIjw8AhHtI7Hi/eUoKyvDwEGD3W6u7ll17y9rbmlpCY4cOWK/ffz4MeTl5cLPz8/pRQaV+qsyk1nVmalK1gdHjsajox7EP99agj5398WeH3/Euo8+xHPTZzqdUVZWWTNVysr+evdXKavu/WXMTZ49C2kb1uOVRa/D29vbfp09H5/GaNSokdvklDlXlZmy5u78ZgeEEGjZqjWOHjmC1155GS1bt8a9AwY5PVPG3wAAj5UqM/l9RZ2ZqmUFDFxcXLhwIaKiouDv7++wXwiB3NxceHt7w8PDQ8pz903sh6IzZ5C6eBEKCvLRtl0oUpcsQ2AtTwWVMVf3rLr3lzV3T04Oxjw6yn57/tzfrlN674BBeGFOitvklDVXlZnMqs5MVbKGR7THvFcWYfGrr2DZklQ0v+lmPPOPyUi8516nM8rKKmumSlnZX+/+KmXVvb+MuR+uWQUAGPPIKIf9M2e/iP4Dnf8jUJX+Ks2UNffC+fNIfW0hTp86CV8/P/TqfRfG/vXvaODl5fRMGX8DADxWqszk9xV1ZqqWFQA8xLW+g4qLpKSkYOnSpVi2bBni4/93areXlxeysrIQFhbm9OyLl1yRkEhdMv5VS1rrJyIXq7DapMz18nSrK6kQESnPJuEXNhN/YVPGxQqry2eaG3i6fCbAvwNUwu8r5GqNanhKomF/KUyePBlr1qzB2LFjMXHiRFRUVBgVhYiIiIiIiIiIiJxg6GkIXbp0QWZmJvLz8xEdHY2cnBxpL4UmIiIiIiIiIiIi1zLsmouVfHx8sHz5cqxevRoJCQmwWl1/ejgRERERERERERG5nmHXXLySY8eOITMzEwkJCfD29nZ6Dq+5SLrjNReJ9MVrLhIRqYHXRtMbr7lIMvD7CrlaTa+56FaLi67CxUXSHRcXifTFxUUiIjVwEUBvXFwkGfh9hVyNi4tE5FI2m4QfVCb+oCIiIiIicoXXv/5Zytxx3W+RMpeI3J/bv1s0ERERERERERERqY2Li0REREREREREROQULi4SERERERERERGRU7i4SERERERERERERE5xq8XFQ4cOYfPmzcjJyZH+XKs/WInEPvHo0rE9Rgy7Hz9mZ7vtXN2z6t5f1lxXzly7ZhUeGNwfcTGdERfTGaNGDMWOr76sdUYZWVWbKWuu7lnZX+/+suaqMlPWXFVmypqre1bd+8uaq8pMWXNVmSlrbm1nll8sxTdr3sQHk0fj7XED8HHKBJz+Zd8VP/arFa9h6f9LxI9b1hmSta5mypqrykxZc3XPqnt/wMDFxSeffBIXLlwAAJSVlWHIkCFo06YN7r77bkRFRSE+Pt5+v6ttTNuAeXOT8fiT47D6w3Vo27Ydxj7+FxQWFrrdXN2z6t5flaw33ngj/vbUM1i55l9YufojdL09Bk+PH4eDB/Y7nVFWVpVmMqs6M1XKqnt/lbKyv979Vcqqe3+VsrK/Xv2/fO9VHN/7PXo9OhFDpr+Bm8I64bMFU1BSVODwcYe+/xqnf87D9f6BhmWti5kqZdW9v0pZde9vJwxiMpnEqVOnhBBCJCUliZtvvlls27ZNlJSUiB07dohbb71VTJ482anZZRVVb4PvGyKmTZ9pv11isYrucXFiceqSah9b13N1z6p7f3fKWmKxXdMWHd1FrFi1tsqPUam/7se/PmVlf737q5SV/fXur1JW3furlJX963f/eV8ctG8pm/aKtu3aifGLVjnsj03oJ4Y+9bz99sx1GaJj125iygfbRKducWL01HkOHz/vi4PK9FfpWLF//cla3/vXeI2v9suTTi9q2v/7008/xdy5c9GrVy9cf/316N69OxYsWIB///vfLn/eivJy5O7dg5husfZ9JpMJMTGxyM763q3m6p5V9/6qZa1ktVqxMe0zlJWVIjKqQ61mqdKfx1+drOyvd3+VsrK/3v1Vyqp7f5Wysr9e/W02K4TNBk8vL4f9nl4NcfLAHgCAsNnw33/OQ+TdQ9CkeUvDstbFTJWy6t5fpay697+coddc9PDwAACcPHkSkZGRDvdFRUXh6NGj1c6wWCwoLi522CwWy1U/vuhsEaxWKwIDHU/5DgwMREFBwVUeVT0Zc3XPqnt/1bLu/2kfYrt2wu2dIzHnhRmYv3Axbr21jdPzZGVVZSazqjNTpay691cpK/vr3V+lrLr3Vykr++vVv2Gj63HjLaH47rNVKDlbCJvNiv07t+H0z3koPXcGAPDD5x/Cw2RCRPwAp3K6KmtdzFQpq+79Vcqqe//LGbq4OG3aNEyYMAEmkwm//vqrw32FhYXw9vaudkZycjL8/PwctpdfSpYVmYiuolXr1lj90Tq8t3IN7n9gGJ6fOhkHDx4wOhYRERERkZZ6PToREAIr//EQ3n6yP3K2fYxbu94BDw8T8g/vR87Wj3HnI8/YT/ohInJWA6OeuGfPnti377d3qgoLC8Phw4cd7t+wYQPCw8OrnZOUlIQJEyY47BOe5qt+fIB/ADw9Pf9wwcrCwkIEBQXVNH6dzNU9q+79Vcvq5dUQLVr89nKKsPAI7MnJwaoV72Hq9FlOz1SlP4+/OlnZX+/+KmVlf737q5RV9/4qZWV//fr73tAc9056GRWWi6goK8X1/k2wZWkyGgc1w8n9OSg7fxYfTB5l/3hhs2Hnh8vw49b/4MHk5XWaVfZMlbLq3l+lrLr3v5xhZy5+8cUX+O9//2vfHnvsMQD/uxbjgw8+iBUrVlQ7x2w2w9fX12Ezm6++uOjVsCFCw8KRsTPdvs9msyEjIx2RUR2d7iNjru5Zde+vWtbfE8KG8vLyWs1QpT+PvzpZ2V/v/iplZX+9+6uUVff+KmVlf337e5kb4Xr/JrCUnMexPZlo1SEGt8X0xpDnU3HftNft2/X+gYi8+z70+/scw7LKmqlSVt37q5RV9/6XM+zMxasxm83IyspCaGiotOcYOfoRTJvyLMLDIxDRPhIr3l+OsrIyDBw02O3m6p5V9/6qZF20cD66x/VEcHAwSkpKkLZhPXZ/uwupby5zOqOsrCrNZFZ1ZqqUVff+KmVlf737q5RV9/4qZWV/vfof3ZMJCAG/Zjej+PSvyPjobfg3uxltY++CqUEDNPLxdfh4k6cnrvcNgH+zm+s8a13MVCmr7v1Vyqp7/0qGLS7+/qXMlaxWK1JSUuwXmVywYIHLn7tvYj8UnTmD1MWLUFCQj7btQpG6ZBkCa3kqqIy5umfVvb8qWc+cOYNpzz2Lgvx8+DRujNtua4vUN5chJra70xllZVVpJrOqM1OlrLr3Vykr++vdX6WsuvdXKSv769W/vKwEu/79DkrOFsB8fWO07hSHrgNHw9TAtcsA7tpf5ay691cpq+79K3mIytch1zGTyYSoqCj4+/s77N++fTuio6Ph7e0NDw8PbNu27ZpnX7zkopBEZGezuf5bhcnEi0cTEREREbnC61//LGXuuO63SJlLRO6vUQ3/X4RhZy6++OKLWLp0KebPn4/4+Hj7fi8vL7z77rsICwszKhoRERERERERERHVgGFv6DJ58mSsWbMGY8eOxcSJE1FRUWFUFCIiIiIiIiIiInKCYYuLANClSxdkZmYiPz8f0dHRyMnJgYcHXyZJRERERERERESkAsPfLdrHxwfLly/H6tWrkZCQAKvVanQkIiIiIiIiIiIiqgHDFxcrDRs2DHFxccjMzETLli2NjkNERERERERERETVMOzdomXiu0UTEZGuZP1U51VLiIiI9HS+zPV/YDe+zm3Oc6pXbDbX/yJYbrW5fGYjL0+XzyQ5avpu0YZec5GIiIiIiIiIiIjUxcVFIiIiIiIiIiIicgoXF4mIiIiIiIiIiMgpXFwkIiIiIiIiIiIipxi2uGixWFBRUWG/ffDgQTz33HMYOXIkpk6dikOHDkl9/tUfrERin3h06dgeI4bdjx+zs912ru5Zde8va64qM2XNVWWmrLm6Z9W5f+bubzF+3BPo0ysOHSLaYtvWLbXOWEmF/jLnqjJT1lxVZsqaq3tW3fvLmqvKTFlzVZkpa647Zv3hu934x9NPYkDfOxEXHY4vv9jqcP+cGVMQFx3usE342/+r85x1PVeFmWvXrMIDg/sjLqYz4mI6Y9SIodjx1Ze1zllSUoIFc5MxILE3et7eEY+NehB7c36s9VxAjc+rrJmy5srKCmGQO+64Q3z44YdCCCF27NghzGaziIyMFEOHDhUdO3YU119/vfjmm2+cml1WUfW27pPPRHh4uFi19iORk7tfJE2ZKjpHR4tjJwuqfWxdz9U9q+79VcrK/nr3Vylrfe9fWl71tmnrF2LuvAVi/YZNIiQkRKxP21ztY0rL1emv0rFif/avL1l1769SVvbXu7+zc08XV9i3j9O2idkp88SHH6eJkJAQ8dEnGx3u//uESWLkw4+K3J9/tW8HjhU4fMzp4gql+qs0s8Riu+q24fMtYuPm/4q9P/0s9u47KF56eb4ICwsX2Xv2Vfm4otJLVW5P/nW8uLtvotj21U6RnXdQzJ2/UHTs1EnsO3T8qo9R7fOq89dqTRm2uOjr6yt++uknIcRvC41PP/20w/1Tp04V3bt3d2p2dZ/QwfcNEdOmz7zsH6BVdI+LE4tTl9Tq4MuYq3tW3furlJX99e6vUtb63r8mC4WVmysXF92lv0rHiv3Zv75k1b2/SlnZX+/+zs79/cJg5Xa1xcW/jHniqo+p6eKiO/VXaWZVi4RX2qKju4gVq9Y6vbh44swFERoaKj7duNVh/70DBorkufNrtbjoTp9Xnb9Wa8qwl0VbrVZYrVYAQF5eHkaPHu1w/8MPP4ysrCyXP29FeTly9+5BTLdY+z6TyYSYmFhkZ33vVnN1z6p7f5Wysr/e/VXKqnt/WVTqr0pW9te7v0pZde+vUlb217u/zLm/933mt/hznx4YPvgezEuehXNnz7pFTlWOVV0cJ6vVio1pn6GsrBSRUR1qNcdqtcJsbuiw32xuhKzvv3N6riqfV92/Vi9n2OLi7bffjk8//RQAcOutt/5hIfGHH35AkyZNqp1jsVhQXFzssFkslqt+fNHZIlitVgQGBjrsDwwMREFBgRNN5M3VPavu/VXKyv5691cpq+79ZVGpvypZ2V/v/ipl1b2/SlnZX+/+Mude7vZucZg680W8+sbbGDt+An747ltMHP+4/cQiI3OqcqxkHqf9P+1DbNdOuL1zJOa8MAPzFy7Grbe2cXqet7c32kd2wD+Xvon806dhtVqR9tknyMn+AQUF+U7PVeXzqvvX6uUa1HqCk2bPno3ExESUlJRg+PDheOaZZ7B//36EhoZi3759WLRoEZKSkqqdk5ycjJkzZzrse27adEx9foak5ERERERERET0ewl397P/961tQnBrmxAMHdgX32d+i+iuMQYmIwBo1bo1Vn+0DhfOn8eWzZ/j+amTseyd92u1wDhjTgpmz5iKP991Jzw9PdG2XRju6tsPebl7XZic3J1hi4vdunVDWloaJkyYgIyMDADAnDlzAADNmzfHjBkz8Pe//73aOUlJSZgwYYLDPuFpvurHB/gHwNPTE4WFhQ77CwsLERQUdK01pM7VPavu/VXKyv5691cpq+79ZVGpvypZ2V/v/ipl1b2/SlnZX+/+MudW5aab/wR//wAcO3qkxouLKvVXZWYlL6+GaNGiJQAgLDwCe3JysGrFe5g6fZbTM2/+Uwu8+fZ7KCsrRcmFEgQ1bYrn/jEBzW+62emZqnxedf9avZxhL4sGfltgTE9Px6lTp5Ceno6vv/4aBw8exLFjx2q0sAgAZrMZvr6+DpvZfPXFRa+GDREaFo6Mnen2fTabDRkZ6YiM6uh0Fxlzdc+qe3+VsrK/3v1Vyqp7f1lU6q9KVvbXu79KWXXvr1JW9te7v8y5VTl96iTOnTt7TYsXKvVXZebVCGFDeXm5S2Zdd931CGraFMXF57Dzm6/R8854p2ep8nnV/Wv1coaduXi5pk2bomnTpgCAhg0bIisrC6GhodKeb+ToRzBtyrMID49ARPtIrHh/OcrKyjBw0GC3m6t7Vt37q5SV/fXur1JW3fuXlpbgyJEj9tvHjx9DXl4u/Pz8EBzc3K2y6n6s2F/v/ipl1b2/SlnZX+/+rphbWlqC40f/93vEiePHsH9fLhr7+cHX1w/vvPUG7ojvg8DAIBw/dhSpi+bjpj+1QNducXWasy7nqjJz0cL56B7XE8HBwSgpKUHahvXY/e0upL65zOmZALDzmx0QQqBlq9Y4euQIXnvlZbRs3Rr3DhhUq7mqfF51/1qtZNji4u9fylzJarUiJSXFfpHJBQsWuPy5+yb2Q9GZM0hdvAgFBflo2y4UqUuWIbCWp4LKmKt7Vt37q5SV/fXur1JW3fvvycnBmEdH2W/Pn5sMALh3wCC8MCfFrbLqfqzYX+/+KmXVvb9KWdlf7/6umJu3dw/GP/GI/fZrr8wFACT+eQAmTn4eB/fvQ9r6j3HhfDGCmt6ALjGxGPPE39CwYcOrjZSSsy7nqjLzzJkzmPbcsyjIz4dP48a47ba2SH1zGWJiuzs9EwAunD+P1NcW4vSpk/D180Ov3ndh7F//jgZeXrWaq8rnVfev1UoeQghR6ylOMJlMiIqKgr+/v8P+7du3Izo6Gt7e3vDw8MC2bduuefbFSy4KSUREpBhZP9U9POTMJSIiIvd2vsz1f2A3vs4tXkRZ79hsrv9FsNxqc/nMRl6eLp9JcjSq4T9VwxYXU1JSsHTpUixbtgzx8f97Lb6XlxeysrIQFhbm9GwuLhIRka64uEhERESuxMVFdXBxkVytpouLhr2hy+TJk7FmzRqMHTsWEydOREVFhVFRiIiIiIiIiIiIyAmGvlt0ly5dkJmZifz8fERHRyMnJwcePDWCiIiIiIiIiIhICYafi+zj44Ply5dj9erVSEhIgNVqNToSERERERERERER1YBh11y8kmPHjiEzMxMJCQnw9vZ2eg6vuUhERLriNReJiIjIlXjNRXXwmovkam7/hi4ycXGRdCfjXzUXFojUwMVFIiIicnc2Cb+wmPjLCpHLuf0buhAREREREREREZHauLhIRERERERERERETuHiIhERERERERERETmFi4tERERERERERETkFMMWF//1r3+htLTUqKfH6g9WIrFPPLp0bI8Rw+7Hj9nZbjtX96y695cxN3P3txg/7gn06RWHDhFtsW3rFrfMKXOuKjNlzdU9q879Zf37B9ToL3OuKjNlzVVlpqy5umfVvb+suarMlDVXlZmy5uqa9e23lmDE0CHo3rUT4nvG4unx4/DLoZ9rnVFGVtVmypqre1bd+wMAhEE8PDyEr6+vGDNmjNi5c6dLZ5dVVL2t++QzER4eLlat/Ujk5O4XSVOmis7R0eLYyYJqH1vXc3XPqnt/Z+eWlle9bdr6hZg7b4FYv2GTCAkJEevTNlf7GJX615eZzKrOTHfKKuPfv1HfA+r7sWJ/9q8vWXXvr1JW9te7vztlLSm3XXV7+JFHxaq1H4nsvfvEd9l7xaN/GSN63nGnKDh7ocrHqdRf9+Nfn7LW9/41Zeji4qxZs0THjh2Fh4eHCA8PF6+88oooKCio9ezqPqGD7xsipk2fab9dYrGK7nFxYnHqklodfBlzdc+qe39n59ZkoaByc9Xiojv1ry8zmVWdme6UVca/f6O+B9T3Y8X+7F9fsureX6Ws7K93f3fKWtUi4e+3oycLREhIiPjym4xaLy66S3/dj399ylrf+9eUoddcfPzxx/Hdd9/h22+/Rc+ePTFz5kzcdNNNeOCBB7B582Ypz1lRXo7cvXsQ0y3Wvs9kMiEmJhbZWd+71Vzds+reX+ZcV1OpvyozmVWdmapllUGl/qpkZX+9+6uUVff+KmVlf737q5b1chcunAcA+Pn51WqOKv15/NXJqnv/y7nFG7p07twZqampOHHiBN566y3k5+ejb9++aN26tcufq+hsEaxWKwIDAx32BwYGoqCgwK3m6p5V9/4y57qaSv1Vmcms6sxULasMKvVXJSv7691fpay691cpK/vr3V+1rJVsNhvmpbyIDh07oc1tIbWapUp/Hn91sure/3INaj3BSR4eHn/Y16hRI4wcORIjR47EgQMH8M4771Q7x2KxwGKxOOwTnmaYzWaXZSUiIiIiIiKiupU8exYOHNiPd977wOgoRFQFw85cFEJUeX+bNm0wZ86cauckJyfDz8/PYXv5peSrfnyAfwA8PT1RWFjosL+wsBBBQUE1C19Hc3XPqnt/mXNdTaX+qsxkVnVmqpZVBpX6q5KV/fXur1JW3furlJX99e6vWlYASJkzC19t/wJv/fM93NisWa1mAer05/FXJ6vu/S9n2OLioUOHrligukXH30tKSsK5c+cctknPJl31470aNkRoWDgydqbb99lsNmRkpCMyquM1Pbfsubpn1b2/zLmuplJ/VWYyqzozVcsqg0r9VcnK/nr3Vymr7v1Vysr+evdXKasQAilzZmHb1i1Y8s93cdPNNzs1py6yqjKTWdWZqVrWSoa9LLply5ZX3G82m5GVlYXQ0NAazTGb//gS6IuXqn7MyNGPYNqUZxEeHoGI9pFY8f5ylJWVYeCgwTV6zrqcq3tW3fvLmltaWoIjR47Ybx8/fgx5ebnw8/NDcHBzt8kpa64qM5lVnZkqZZXx719WVt2PFfvr3V+lrLr3Vykr++vdX5WsybNnIW3Deryy6HV4e3ujoCAfAODj0xiNGjVyOqeMrCrNZFZ1ZqqWFTBwcXHChAlX3G+1WpGSkmK/yOSCBQtc/tx9E/uh6MwZpC5ehIKCfLRtF4rUJcsQWMtTQWXM1T2r7v1lzd2Tk4Mxj46y354/97dLCdw7YBBemJPiNjllzVVlJrOqM1OlrDL+/cvKqvuxYn+9+6uUVff+KmVlf737q5L1wzWrAABjHhnlsH/m7BfRf2DtFkFU6C9rJrOqM1O1rADgIa71dcguYjKZEBUVBX9/f4f927dvR3R0NLy9veHh4YFt27Zd8+zqzlwkqu9k/Ku+wnswEZEbkvVTnd8DiIiIyFVsEn5hMfGXFSKXa1TDUxINW1xMSUnB0qVLsWzZMsTHx9v3e3l5ISsrC2FhYU7P5uIi6Y6Li0T64uIiERERuTsuLhKpoaaLi4a9ocvkyZOxZs0ajB07FhMnTkRFRYVRUYiIiIiIiIiIiMgJhi0uAkCXLl2QmZmJ/Px8REdHIycnBx78vw1ERERERERERERKMOwNXSr5+Phg+fLlWL16NRISEmC1Wo2ORERERERERERERDVg2DUXr+TYsWPIzMxEQkICvL29nZ7Day6S7njNRSJ98ZqLRERE5O54zUUiNbj9G7rIxMVFIiLS1cUKOa8AaOTlKWUuERERkStYKmxS5pq9DL2a3DXhSSbkam7/hi5ERERERERERESkNi4uEhERERERERERkVO4uEhERERERERERERO4eIiEREREREREREROaWGl2aUIysrC5mZmbjzzjtxyy23YM+ePXj99ddhs9kwaNAg3H333UbGIyIiIiIiIiIioioYdubiv//9b3Tu3Bn/+Mc/EBUVhS1btiAuLg779+/HL7/8gnvuuQcffPCBtOdf/cFKJPaJR5eO7TFi2P34MTvbbefqnlX3/rLmqjJT1lxVZsqaq3tWnfuXlJRgwdxkDEjsjZ63d8Rjox7E3pwfa51TRlZZM2XNVWWmrLmqzJQ1V/esuveXNVeVmbLmqjJT1lzds7p6ptVqxZuvv4oB/RLQ4/YOGPTnu/D20lQIF7zFsgr9M3d/i/HjnkCfXnHoENEW27ZuqXXGSvxa1bs/AEAYpFOnTmL27NlCCCFWrVol/P39xaxZs+z3z5s3T3To0MGp2WUVVW/rPvlMhIeHi1VrPxI5uftF0pSponN0tDh2sqDax9b1XN2z6t5fpazsr3d/lbLW9/5FpZeq3J7863hxd99Ese2rnSI776CYO3+h6Nipk9h36HiVj1Olv0rHiv3Zv75k1b2/SlnZX+/+KmV1ZubZUmuV2yuLUkWXrl3F+o1bxd79R8S/Pt4gOnToIJYse7fKx6nSv6xCiNLyq2+btn4h5s5bINZv2CRCQkLE+rTNVX585cavVb3715Rhi4ve3t7i0KFDQgghbDab8PLyEtnZ2fb7Dx48KHx8fJyaXd0ndPB9Q8S06TPtt0ssVtE9Lk4sTl1Sq4MvY67uWXXvr1JW9te7v0pZ63v/qhYIT5y5IEJDQ8WnG7c67L93wECRPHd+rRYX3aW/SseK/dm/vmTVvb9KWdlf7/4qZXVmZnWLi4/8ZYx45h+THfY9PnacGP/UM7VaXHSX/mUV1S8UVm6uXFzk12r97l9Thr0sunHjxigsLAQAnD17FpcuXbLfBoDCwkL4+Pi4/HkrysuRu3cPYrrF2veZTCbExMQiO+t7t5qre1bd+6uUlf317q9SVt37W61WWK1WmM0NHfabzY2Q9f13Ts2UlVX3Y8X+evdXKavu/VXKyv5691cpq6z+kVEdsTtjJw4fPgQA+GlfHrK+/w6x3Xs4PVOl/jLwa1Xv/pczbHExISEB48aNw8qVKzF69GjcddddSEpKQl5eHvbt24dJkyYhLi6u2jkWiwXFxcUOm8ViuerHF50tgtVqRWBgoMP+wMBAFBQUON1Hxlzds+reX6Ws7K93f5Wy6t7f29sb7SM74J9L30T+6dOwWq1I++wT5GT/gIKCfKdmysqq+7Fif737q5RV9/4qZWV/vfurlFVW/9GPjkGfvv3wwMB70C26PUYOG4xhI0ah7z33Oj1Tpf4y8GtV7/6XM2xxcd68efD19cUTTzyB8vJyrFmzBtHR0QgLC0NYWBh+/fVXpKSkVDsnOTkZfn5+DtvLLyXXQQMiIiL1zJiTAgGBP991J3p07YC1H6zEXX37wWQy7FcCIiIiIum2bErDxg3r8ULyy3h/1b8w/YVkrHjvn1j/yX+MjkakvAZGPfGNN96ITZs2Oex77bXX8PTTT6O0tBTt2rVDgwbVx0tKSsKECRMc9glP81U/PsA/AJ6eng4vwQZ+exl2UFDQNTSQP1f3rLr3Vykr++vdX6WsuvcHgJv/1AJvvv0eyspKUXKhBEFNm+K5f0xA85tudnqmSv1Vycr+evdXKavu/VXKyv5691cpq6z+i16Zh9GPPIa7+t4DAGhzWwhOnPgVy/+5FH/uP9BtssrqLwO/VvXufzm3O02hXbt28PT0rNHCIgCYzWb4+vo6bGbz1RcXvRo2RGhYODJ2ptv32Ww2ZGSkIzKqo9O5ZczVPavu/VXKyv5691cpq+79L3fdddcjqGlTFBefw85vvkbPO+OdnqVSf1Wysr/e/VXKqnt/lbKyv979Vcoqq//Fi2Xw+N0rNTxNnrDZbE7PVKm/DPxa1bv/5Qw7c/H3ZxtWslqtSElJsb8OfMGCBS5/7pGjH8G0Kc8iPDwCEe0jseL95SgrK8PAQYPdbq7uWXXvr1JW9te7v0pZde+/85sdEEKgZavWOHrkCF575WW0bN0a9w4Y5PRMWVl1P1bsr3d/lbLq3l+lrOyvd3+VssqY2aNnL7y7bAmaNQvGLbfehn379uKDFe/i3gF6fE5LS0tw5MgR++3jx48hLy8Xfn5+CA5u7lZZZc1VZaZqWQEDFxcXLlyIqKgo+Pv7O+wXQiA3Nxfe3t7w8PCQ8tx9E/uh6MwZpC5ehIKCfLRtF4rUJcsQWMtTQWXM1T2r7v1Vysr+evdXKavu/S+cP4/U1xbi9KmT8PXzQ6/ed2HsX/+OBl5eTs+UlVX3Y8X+evdXKavu/VXKyv5691cpq4yZEydPxZLXX8Xc5FkoOnMGQU1vwKD7HsBjjz/p9ExZWWXM3JOTgzGPjrLfnj/3t/equHfAILwwp/r3u6jLrLLmqjJTtawA4CGEELWe4oSUlBQsXboUy5YtQ3z8/16K5eXlhaysLISFhTk9++IlVyQkIiJSz8UKq5S5jbw8pcwlIiIicgVLhfMvb66K2cvtriZ3VTJWdySd80WKaFTDUxIN+1cyefJkrFmzBmPHjsXEiRNRUVFhVBQiIiIiIiIiIiJygqFL8F26dEFmZiby8/MRHR2NnJwcaS+FJiIiIiIiIiIiItcy7JqLlXx8fLB8+XKsXr0aCQkJsFrlvJyLiIiIiIiIiIiIXMuway5eybFjx5CZmYmEhAR4e3s7PYfXXCQiIl3xmotERESkI15zkddcJNer6TUX3Wpx0VW4uEhERLri4iIRERHpiIuLXFwk1+PiIhERERERERFRLXDBjnTm9u8WTURERERERERERGrj4iIRERERERERERE5hYuLRERERERERERE5BQuLhIREREREREREZFTDF9c3LZtG2bNmoWxY8di3LhxmD9/Pvbv3y/9eVd/sBKJfeLRpWN7jBh2P37Mznbbubpn1b2/rLmqzJQ1V5WZsubqnpX99e4va64qM2XNVWWmrLm6Z9W9v6y5qsyUNVeVmbLm6p5Vlf6Zu7/F+HFPoE+vOHSIaIttW7e4ZU6Zc3XPqnt/AIAwyKlTp0TXrl2FyWQSDRo0ECaTSXTu3Fk0a9ZMeHp6ikmTJjk9u6yi6m3dJ5+J8PBwsWrtRyInd79ImjJVdI6OFsdOFlT72Lqeq3tW3furlJX99e6vUlb217u/SlnZX+/+KmXVvb9KWdlf7/4qZXWn/qXlVW+btn4h5s5bINZv2CRCQkLE+rTN1T5Gpf7Mqnf/mjJscXHo0KFi4MCB4ty5c+LixYvir3/9qxg1apQQQoitW7eKwMBAsXDhQqdmV/cJHXzfEDFt+kz77RKLVXSPixOLU5fU6uDLmKt7Vt37q5SV/fXur1JW9te7v0pZ2V/v/ipl1b2/SlnZX+/+KmV1p/7VLRRevrlqcdGd+jOr3v1ryrCXRaelpWH27Nnw9fWF2WxGSkoKVq1aheLiYsTHx2PhwoV44403XP68FeXlyN27BzHdYu37TCYTYmJikZ31vVvN1T2r7v1Vysr+evdXKSv7691fpazsr3d/lbLq3l+lrOyvd3+VsqrUXwaV+uueVff+lzNscdFsNsPDw+N/QUwmWK1WXLp0CQAQGxuLX375pdo5FosFxcXFDpvFYrnqxxedLYLVakVgYKDD/sDAQBQUFDhXRtJc3bPq3l+lrOyvd3+VsrK/3v1Vysr+evdXKavu/VXKyv5691cpq0r9ZVCpv+5Zde9/OcMWF+Pi4vD888+jpKQEFRUVmDJlCm655RY0adIEAJCfn4+AgIBq5yQnJ8PPz89he/mlZNnxiYiIiIiIiIiItNfAqCeeN28e7rrrLvj7+8PDwwPe3t748MMP7ffn5ubi4YcfrnZOUlISJkyY4LBPeJqv+vEB/gHw9PREYWGhw/7CwkIEBQVdWwnJc3XPqnt/lbKyv979VcrK/nr3Vykr++vdX6WsuvdXKSv7691fpawq9ZdBpf66Z9W9/+UMO3PxlltuQXZ2Nj777DP8+9//xv79+5GQkAAhBADg4YcfRnJy9Wcgms1m+Pr6Omxm89UXF70aNkRoWDgydqbb99lsNmRkpCMyqqPTfWTM1T2r7v1Vysr+evdXKSv7691fpazsr3d/lbLq3l+lrOyvd3+VsqrUXwaV+uueVff+lzPszEUAuP7663HXXXc57DObzcjKykJoaKi05x05+hFMm/IswsMjENE+EiveX46ysjIMHDTY7ebqnlX3/iplZX+9+6uUlf317q9SVvbXu79KWXXvr1JW9te7v0pZVepfWlqCI0eO2G8fP34MeXm58PPzQ3Bwc7fJKWuu7ll171/JsMXF37+UuZLVakVKSor9IpMLFixw+XP3TeyHojNnkLp4EQoK8tG2XShSlyxDYC1PBZUxV/esuvdXKSv7691fpazsr3d/lbKyv979Vcqqe3+VsrK/3v1VyqpS/z05ORjz6Cj77flzf3sF5r0DBuGFOSluk1PWXN2z6t6/koeofB1yHTOZTIiKioK/v7/D/u3btyM6Ohre3t7w8PDAtm3brnn2xUsuCklERERERERE2pKxYuLh4fqZRDI0quEpiYYtLqakpGDp0qVYtmwZ4uPj7fu9vLyQlZWFsLAwp2dzcZGIiIiIiIiIaouLi6Szmi4uGvaGLpMnT8aaNWswduxYTJw4ERUVFUZFISIiIiIiIiIiIicYtrgIAF26dEFmZiby8/MRHR2NnJwceHAJn4iIiIiIiIiISAmGvls0APj4+GD58uVYvXo1EhISYLVajY5ERERERERERERENWDYNRev5NixY8jMzERCQgK8vb2dnsNrLhIRERERERFRbfGai6Qzt39DF5m4uEhERLq6ZJXzY72BJ38LJiIicmf8HUAd9729S8rct4d3dPlM/+u9XD6T1OH2b+hCREREREREREREauPiIhERERERERERETmFi4tERERERERERETkFC4uEhERERERERERkVO0XVxc/cFKJPaJR5eO7TFi2P34MTvbbefqnlX3/rLmqjJT1lxVZsqaq3tWnfsvSX0NnSPbOWyD+yfWOqeMrLJmypqrykxZc1WZKWuu7ll17y9rriozZc1VZaasufwdoH4eKw8Az/e9De891AGfPd4VMa38He5/sPNNePOB9vjXo52x5uFOmHNPW7S9wfuKsxqYPPDafeH47PGuuCXweof7sr7bjclPj8PgxF64o0sEvvpiq8P9paWlWDh3Dobc0xt94jpj1AP98fG/1kjvb/RcVWbKmisrq1ssLu7atQuvvvoqkpKSkJSUhFdffRW7dsl59yQA2Ji2AfPmJuPxJ8dh9Yfr0LZtO4x9/C8oLCx0u7m6Z9W9v0pZ2V/v/ipl1b0/ANx66234fNtX9u3t5R/Uap6srLofK/bXu79KWXXvr1JW9te7P8DfAdwhq4cHcKiwFG/sOHzF+4+fu4g3vz6McR/mYNLHuTh13oIX+rWF7xXetvfRmD+hsLTiinPKysrQJqQtnvrHc1e8//VX5mJX+g48NysZ7639BEOGjcSrL7+Ir7f/t4bNf1Ofj5VRM1XLCgAQBjp16pSIi4sTHh4eomXLlqJr166ia9euomXLlsLDw0PExcWJU6dOXfPcsoqqt8H3DRHTps+03y6xWEX3uDixOHVJtY+t67m6Z9W9v0pZ2V/v/iplre/9z1+0VbnNW/Cq+PO9/av9uN9vqvRX6VixP/vXl6y691cpK/vX7/78HUCdY9XvzQzR780MIYQQszbus9++0nbf298KIYRI+jTXYf+0z/LEkTOl4vHVWUIIIf764Y/ixLnyK24hISFi7cdpDvvu7ttPpMxf5LDvz/0HihdS5jns0/1Y6d6/pgw9c/HJJ5+E1WpFbm4ufvnlF2RkZCAjIwO//PILcnNzYbPZMG7cOJc+Z0V5OXL37kFMt1j7PpPJhJiYWGRnfe9Wc3XPqnt/lbKyv979Vcqqe/9KRw4fxt29e6B/YgKemzwRJ078Wqt5KvVXJSv7691fpay691cpK/vr3b8SfwdQI2ulBiYPJIbegAuWSzhUWGrf739dA4zv2Rrztv0MyyWbU7PDIzvg6y//i/zTpyCEwHe7d+HokV/Q5fbY6h/8f3Q/Vrr3v5yhi4uff/45Xn/9dbRt2/YP97Vt2xaLFi3Cxo0bq5xhsVhQXFzssFkslqt+fNHZIlitVgQGBjrsDwwMREFBgXNFJM3VPavu/VXKyv5691cpq+79ASCifRRmzE7G4jeWYfLU6fj1+DE89vBDKCm54PRMlfqrkpX99e6vUlbd+6uUlf317g/wdwCVsnZp4Y+PHu2MdY9FY0BkM0z9bB+KL16y3//0nbdgw97TOFBQ4vRz/H3SFLS65VYMuac3enfriH+MfxxP/eM5RHWKrvEM3Y+V7v0vZ+jiotlsRnFx8VXvP3/+PMxmc5UzkpOT4efn57C9/FKyq6MSERHVC9179ESfu/ritpC2iO3eA4teX4rz54ux+fOq/2ceERERqY2/A6gj+9di/O2jHEz8z158d/QcJie0gd//XXPx3ogbcZ2XJz78oXZnnf57zUrs/TEbL85fjLfeX4Mnn5qEhXPnYHdGuisqkGb+eEXQOjR06FCMHj0ar7zyCnr37g1fX18AQHFxMbZu3YoJEyZg+PDhVc5ISkrChAkTHPYJz6svSAb4B8DT0/MPF6wsLCxEUFCQk03kzNU9q+79VcrK/nr3Vymr7v2vpLGvL1q2bIWjR698UfGaUKm/KlnZX+/+KmXVvb9KWdlf7/5Xwt8B3Der5ZINJ4otOFFswb7Th7B0WCTuatcUH/5wAlHNfdHuRh/857EuDo9ZODgc5ZcEzl20Vj//4kW8lfoqZr/8KrrF3QEAuPW2tjjwUx7WrHgX0bd3q1FO3Y+V7v0vZ+iZiwsWLEBiYiKGDRuGgIAAXHfddbjuuusQEBCAYcOGITExEfPmzatyhtlshq+vr8NW1dmOXg0bIjQsHBk7/7cab7PZkJGRjsiojk53kTFX96y691cpK/vr3V+lrLr3v5LS0hIcO3oUQUFNnZ6hUn9VsrK/3v1Vyqp7f5Wysr/e/a+EvwO4b9bfMwHw8vxt+WbJN4fxt49y7Nv0tH0AgJQtB3DeUv3CIgBcunQJly5dgoeH45KQyeQJm6j5NRx1P1a697+coWcums1mvPHGG3jppZeQmZmJkydPAgCaNWuGzp07289kdLWRox/BtCnPIjw8AhHtI7Hi/eUoKyvDwEGD3W6u7ll1769SVvbXu79KWXXv/8q8l9Dzzl4IDm6O/PzTWJK6GCZPE/om/tnpmbKy6n6s2F/v/ipl1b2/SlnZX+/+/B3AfbLeEni9/b+bNTbjlsDrcd5yCcUXL2Fop+bI+KUIZ0or4NeoAe4JvxGB3g2x4+czAID8C+UOs8oqfltQPFlsgU38b39paSmOHz1iv33i1+PYvy8Pvn5+uLFZMDp0isabi+bD3MiMZs2a44fvduPzDZ9g3FOTpPc3aq4qM1XLChi8uFjJ19cXvXr1QklJCdauXYstW7Zg7969GDZs2B8uNukKfRP7oejMGaQuXoSCgny0bReK1CXLEFjLU0FlzNU9q+79VcrK/nr3Vymr7v1Pnz6FKc8+g3NnzyIgoAk6dOqMd1esQUCTJk7PlJVV92PF/nr3Vymr7v1Vysr+evfn7wDukdXkAbw2JMJ+e0xsSwDAln35WPzVL/iTfyP0vus2+DVqgOKLl7A/vwT/+CQXR4rKrinXvtwcPPXEo/bbr78y97e89wxA0ow5eH7OPCx9fSFmT5uM4uJzaNasOR4bOx4D7hsqtb+Rc1WZqVpWAPAQQojqP0yOsLAw7NixA02aNMHRo0fRs2dPFBUVISQkBAcPHkSDBg2wc+dOtG7d+prmXvYmSkRERFq5ZJXzY72Bp4eUuUREROQa/B1AHfe9vUvK3LeHu+6l2JX8r/dy+UxSR6ManpJo6DUX8/LycOnSbyuBSUlJaN68OQ4fPoxdu3bh8OHDiIyMxHPPPWdkRCIiIiIiIiIiIroKQxcXL5eeno4ZM2bAz88PAODj44OZM2dix44dBicjIiIiIiIiIiKiKzF8cdHD47dTrC9evIjg4GCH+2666Sbk5+cbEYuIiIiIiIiIiIiqYfgbuvTu3RsNGjRAcXEx9u3bh4iI/13Y9PDhw1Le0IWIiIiIiIiIiIhqz9DFxenTpzvc9vHxcbj96aefokePHnUZiYiIiIiIiIiIiGrI0HeLloXvFk1EREREREREOvko65jLZw6JutnlM0kdSrxbNBEREREREREREamLi4tERERERERERETkFC4uEhERERERERERkVO4uEhERERERERERERO0XZxcfUHK5HYJx5dOrbHiGH348fsbLedq3tW3fvLmqvKTFlzVZkpa67uWdlf7/6y5qoyU9ZcVWbKmqt7Vt37y5qrykxZc1WZKWuu7lnZ3/mZNpsV/137Dl77+wgkj07E4qcewpf/fh+Xv59v7q6vsDL5H5j3/wbihQd74+QvBwzJWtdzVZkpa66srG69uFhUVIT33nvP5XM3pm3AvLnJePzJcVj94Tq0bdsOYx//CwoLC91uru5Zde+vUlb217u/SlnZX+/+KmVlf737q5RV9/4qZWV/vfurlJX9azfzm09WI3PLJ+j78N8wdt47iB8+Bunr1+Dbz9fZP6bCchF/ahuB3sPHOJ3TFVnrcq4qM1XLCgAQbuyHH34QJpPpmh9XVlH1Nvi+IWLa9Jn22yUWq+geFycWpy6p9rF1PVf3rLr3Vykr++vdX6Ws7K93f5Wysr/e/VXKqnt/lbKyv979VcrK/s7NfH/3UfH+7qPinqEjxQP/b7z99vu7j4r+I/4iBj8y1mHf+7uPitfSvhUhISHi5Y/++4f73t99lMdK8/41ZeiZi8XFxVVu58+fd/lzVpSXI3fvHsR0i7XvM5lMiImJRXbW9241V/esuvdXKSv7691fpazsr3d/lbKyv979Vcqqe3+VsrK/3v1Vysr+tZ95823hOJTzPQpPHAUAnDx8EEf3/Yg2UV2dyiQza13NVWWmalnts2o9oRb8/f0REBBw1a1nz54uf86is0WwWq0IDAx02B8YGIiCggK3mqt7Vt37q5SV/fXur1JW9te7v0pZ2V/v/ipl1b2/SlnZX+/+KmVl/9rP7N5/OMK79ULqxEcwZ+RdeGvK4+iaeB/axyU4lUlm1rqaq8pM1bJWalDrCbXQuHFjPPfcc7j99tuveP/+/fvx+OOPVznDYrHAYrE47BOeZpjNZpflJCIiIiIiIiJSwZ6dXyDn660YNG4Kmt7cCqcOH8Sm919H44BARPW82+h4VA8ZurjYqVMnAMAdd9xxxfv9/f0d3s3oSpKTkzFz5kyHfc9Nm46pz8+44scH+AfA09PzDxesLCwsRFBQUA2T181c3bPq3l+lrOyvd3+VsrK/3v1Vysr+evdXKavu/VXKyv5691cpK/vXfubWD5Yitv8wRMTGAwBubHELzhWcwtcfr3Lp4iKPld79L2foy6IffPBBNGrU6Kr3N2vWDNOnT69yRlJSEs6dO+ewTXo26aof79WwIULDwpGxM92+z2azISMjHZFRHa+9hMS5umfVvb9KWdlf7/4qZWV/vfurlJX99e6vUlbd+6uUlf317q9SVvav/cyK8ovw8HBc7vEwmSCEzalMMrPW1VxVZqqWtZKhZy6OGVP1W57feOON1S4ums1/fAn0xUtVP+/I0Y9g2pRnER4egYj2kVjx/nKUlZVh4KDBNcpdl3N1z6p7f5Wysr/e/VXKyv5691cpK/vr3V+lrLr3Vykr++vdX6Ws7F+7mbd16oYdH6+EX9ANaHpzK5z85QAyNnyEqDv72j+m7EIxzhWcxvmi385kq3zzFx//JvDxb1JnWetyriozVcsKGLy4+HslJSVYu3YtDhw4gODgYAwfPvwPF5t0hb6J/VB05gxSFy9CQUE+2rYLReqSZQis5amgMubqnlX3/iplZX+9+6uUlf317q9SVvbXu79KWXXvr1JW9te7v0pZ2b92M/uO/hu++PAdpL3zKkrOnUXjgEB06v1n9Bw80v4xP2V+g0+WvGy//e/XZgMAeg4ehTuGjK6zrHU5V5WZqmUFAA9R3UUNJQoLC8OOHTvQpEkTHD16FD179kRRURFCQkJw8OBBNGjQADt37kTr1q2vaW51Zy4SEREREREREdUnH2Udc/nMIVE3u3wmqaNRDU9JNPSai3l5ebh06beVwKSkJDRv3hyHDx/Grl27cPjwYURGRuK5554zMiIRERERERERERFdhaGLi5dLT0/HjBkz4OfnBwDw8fHBzJkzsWPHDoOTERERERERERER0ZUYvrjo4eEBALh48SKCg4Md7rvpppuQn59vRCwiIiIiIiIiIiKqhuFv6NK7d280aNAAxcXF2LdvHyIiIuz3HT58WMobuhAREREREREREVHtGbq4OH36dIfbPj4+Drc//fRT9OjRoy4jERERERERERERUQ0Z+m7RsvDdoomIiIiIiIiIaueHX866fGaHVv4un0lyKPFu0URERERERERERKQuLi4SERERERERERGRU7i4SERERERERERERE7h4iIRERERERERERE5hYuLRERERERERERE5BS3WFy02WxX3X/kyBEpz7n6g5VI7BOPLh3bY8Sw+/FjdrbbztU9q+79Zc1VZaasuarMlDVX96zsr3d/WXNVmSlrriozZc3VPavu/WXNVWWmrLmqzJQ1V/es7O9+/detfAuj77ndYZv8+AP2+5Mnj/3D/e8uTjEkq+ozZc2VlRXCQOfOnRP333+/aNSokbjhhhvEtGnTxKVLl+z3nzx5UphMpmueW1ZR9bbuk89EeHi4WLX2I5GTu18kTZkqOkdHi2MnC6p9bF3P1T2r7v1Vysr+evdXKSv7691fpazsr3d/lbLq3l+lrOyvd3+VsrK/+/RP319k3/4xY67o1aevSMs4YN827T5kv7//fcPEmL9Ncrh/W9ZRhxnp+4vq1efVnY6VjJk1Zeji4vjx40VISIj48MMPxVtvvSVatmwp7rnnHmGxWIQQvy0uenh4XPPc6j6hg+8bIqZNn2m/XWKxiu5xcWJx6pJaHXwZc3XPqnt/lbKyv979VcrK/nr3Vykr++vdX6WsuvdXKSv7691fpazs7z79f7+4mHD3PX9YLLx8cfGvk6Zd9f5rWVxU5fPqTsdKxsyaMvRl0f/5z3+wZMkSDBkyBI899hh2796N/Px83HvvvbBYLAAADw8Plz5nRXk5cvfuQUy3WPs+k8mEmJhYZGd971Zzdc+qe3+VsrK/3v1Vysr+evdXKSv7691fpay691cpK/vr3V+lrOzv3v1P/noUfx95DyY+Oghvvvw8Ck+fdLg//b+fY9zwuzDlyeFY++7rsFy8aFhWFWeqltU+q9YTaiE/Px8tW7a03w4KCsKWLVtw/vx59OvXD6WlpdXOsFgsKC4udtgqFyavpOhsEaxWKwIDAx32BwYGoqCgwOkuMubqnlX3/iplZX+9+6uUlf317q9SVvbXu79KWXXvr1JW9te7v0pZ2d99+9/SNhxjnn4ez8xaiNHjnkX+yV8x5x+Po6y0BAAQc8ddeHziTExOTsWf7x+Nb7alYcm86YZkVXWmalkrGbq42KJFC+Tm5jrsa9y4MTZt2oSysjIMGjSo2hnJycnw8/Nz2F5+KVlWZCIiIiIiIiIi7URFx6Jrj95o0fo2tO8cgwkzX0FpyXns+morAKBX4iC07xyDP7Vqg9heffH/npmBzPQvcOrEMYOTk2yGLi7eddddeOedd/6w38fHB59//jkaNWpU7YykpCScO3fOYZv0bNJVPz7APwCenp4oLCx02F9YWIigoKBrLyFxru5Zde+vUlb217u/SlnZX+/+KmVlf737q5RV9/4qZWV/vfurlJX91env7dMYzW5qgVMnjl7x/lvbhgMATv96bYuLqnxeVTpWsrJWMnRxcebMmZgxY8YV72vcuDE2b96Mbdu2VTnDbDbD19fXYTObzVf9eK+GDREaFo6Mnen2fTabDRkZ6YiM6uhUD1lzdc+qe3+VsrK/3v1Vysr+evdXKSv7691fpay691cpK/vr3V+lrOyvTv+LZaU4feI4/JtceXHq8M8/AQD8mgRe8f66zKrKTNWyVmpQ6wm1EBAQgICAAPvtkpISrF27FgcOHEBwcDCGDx+OO+64w+XPO3L0I5g25VmEh0cgon0kVry/HGVlZRg4aLDbzdU9q+79VcrK/nr3Vykr++vdX6Ws7K93f5Wy6t5fpazsr3d/lbKyv3v2X7XsVXS8vQcCb2iGs4UFWLfyrd/eFOSOu3DqxDHs/OJzREbHwsfXD0cPHcAHby1E24iOaNH6tjrPqvJM1bICBi8uhoWFYceOHWjSpAmOHj2Knj17oqioCCEhITh48CBeeOEF7Ny5E61bt3bp8/ZN7IeiM2eQungRCgry0bZdKFKXLENgLU8FlTFX96y691cpK/vr3V+lrOyvd3+VsrK/3v1Vyqp7f5Wysr/e/VXKyv7u2b+o8DTemDsNF4rPobGfP0LCozBtwdvw9QtARXk59vzwLT7/eDXKL15Ek6Y3oEv3Xug/7BFDsqo8U7WsAOAhhBC1nuIkk8mEkydP4oYbbsBDDz2EQ4cOYcOGDfDz88OFCxcwaNAgNG3aFB988ME1zb14SVJgIiIiIiIiIiJN/PDLWZfP7NDK3+UzSY5GNTwl0dBrLl4uPT0dM2bMgJ+fH4Df3tRl5syZ2LFjh8HJiIiIiIiIiIiI6EoMX1z08PAAAFy8eBHBwcEO9910003Iz883IhYRERERERERERFVw9BrLgJA79690aBBAxQXF2Pfvn2IiIiw33f48GEEBl7buwoRERERERERERFR3TB0cXH69OkOt318fBxuf/rpp+jRo0ddRiIiIiIiIiIiIqIaMvQNXWThG7oQEREREREREdUO39BFbzV9QxcuLhIRERERERERUZ2w2eQsQ5lMHlLm6ky5d4smIiIiIiIiIiIitXBxkYiIiIiIiIiIiJzCxUUiIiIiIiIiIiJyChcXiYiIiIiIiIiIyCmGLy4KIXDo0CFcuvTbu7CUl5djzZo1eO+991BQUCDteVd/sBKJfeLRpWN7jBh2P37Mznbbubpn1b2/rLmqzJQ1V5WZsubqnpX99e4va64qM2XNVWWmrLm6Z9W9v6y5qsyUNVeVmbLm6p6V/fXtv3bNKjwwuD/iYjojLqYzRo0Yih1ffVnrnDKyypopa66srBAGysvLEy1bthQmk0m0adNG/Pzzz6Jz587C29tbXH/99SIoKEj89NNP1zy3rKLqbd0nn4nw8HCxau1HIid3v0iaMlV0jo4Wx04WVPvYup6re1bd+6uUlf317q9SVvbXu79KWdlf7/4qZdW9v0pZ2V/v/iplZf/63b/EYqty2/D5FrFx83/F3p9+Fnv3HRQvvTxfhIWFi+w9+6p8nCr9VTpWNWXo4uKAAQNE//79RXZ2tnjqqadEaGioGDBggCgvLxcXL14U9957r3jooYeueW51n9DB9w0R06bPvOwL2yq6x8WJxalLanXwZczVPavu/VXKyv5691cpK/vr3V+lrOyvd3+VsureX6Ws7K93f5Wysn/97l/d4uKVtujoLmLFqrW1Wlx0l/4qHauaMvRl0d988w1mzpyJ9u3bY/bs2cjLy8PEiRPh5eUFs9mMyZMn48svXXPqa6WK8nLk7t2DmG6x9n0mkwkxMbHIzvrerebqnlX3/iplZX+9+6uUlf317q9SVvbXu79KWXXvr1JW9te7v0pZ2V/v/r9ntVqxMe0zlJWVIjKqg9NzVOqvUlb7rFpPqIULFy6gSZMmAABvb294e3sjODjYfv+f/vQnnDp1qsoZFosFxcXFDpvFYrnqxxedLYLVakVgYKDD/sDAwFpd41HGXN2z6t5fpazsr3d/lbKyv979VcrK/nr3Vymr7v1Vysr+evdXKSv7692/0v6f9iG2ayfc3jkSc16YgfkLF+PWW9s4PU+l/iplrWTo4mLz5s1x5MgR++25c+fihhtusN/Oz89HQEBAlTOSk5Ph5+fnsL38UrK0zEREREREREREJE+r1q2x+qN1eG/lGtz/wDA8P3UyDh48YHQsugpDFxcTEhKQl5dnvz127Fg0btzYfnvTpk3o1KlTlTOSkpJw7tw5h23Ss0lX/fgA/wB4enqisLDQYX9hYSGCgoKcbCJnru5Zde+vUlb217u/SlnZX+/+KmVlf737q5RV9/4qZWV/vfurlJX99e5fycurIVq0aImw8AiMf+oZhIS0w6oV7zk9T6X+KmWtZOji4ptvvonHHnvsqvcPHToUy5Ytq3KG2WyGr6+vw2Y2m6/68V4NGyI0LBwZO9Pt+2w2GzIy0hEZ1fHaS0icq3tW3furlJX99e6vUlb217u/SlnZX+/+KmXVvb9KWdlf7/4qZWV/vftfjRA2lJeXO/14lfqrlLVSg1pPcKGSkhKsXbsWBw4cQHBwMIYPH/6H14O7wsjRj2DalGcRHh6BiPaRWPH+cpSVlWHgoMFuN1f3rLr3Vykr++vdX6Ws7K93f5Wysr/e/VXKqnt/lbKyv979VcrK/nr3X7RwPrrH9URwcDBKSkqQtmE9dn+7C6lvVn3ymRFZdT9WlQxdXAwLC8OOHTvQpEkTHD16FD179kRRURFCQkJw8OBBvPDCC9i5cydat27t0uftm9gPRWfOIHXxIhQU5KNtu1CkLlmGwFqeCipjru5Zde+vUlb217u/SlnZX+/+KmVlf737q5RV9/4qZWV/vfurlJX99e5/5swZTHvuWRTk58OncWPcdltbpL65DDGx3Z2eKSur7seqkocQQtR6ipNMJhNOnjyJG264AQ899BAOHTqEDRs2wM/PDxcuXMCgQYPQtGlTfPDBB9c09+IlSYGJiIiIiIiIiMhpNpucZSiTyUPKXJ01quEpiYZec/Fy6enpmDFjBvz8/AAAPj4+mDlzJnbs2GFwMiIiIiIiIiIiIroSwxcXPTx+W1m+ePEigoODHe676aabkJ+fb0QsIiIiIiIiIiIiqobhb+jSu3dvNGjQAMXFxdi3bx8iIiLs9x0+fFjKG7oQERERERERERFR7Rm6uDh9+nSH2z4+Pg63P/30U/To0aMuIxEREREREREREVENGfqGLrLwDV2IiIiIiIiIiNwP39BFHTV9QxfDXxZNRGqQ8b8hPPi9n4iIiIjIJWSdNsTf2cnVZC0CHsovcfnM1k29XT6zPjL8DV2IiIiIiIiIiIhITVxcJCIiIiIiIiIiIqdwcZGIiIiIiIiIiIicwsVFIiIiIiIiIiIicoq2i4urP1iJxD7x6NKxPUYMux8/Zme77Vzds+reX9ZcV8/M3P0txo97An16xaFDRFts27ql1hkrqdBf1kxZc3XPyv5695c1V5WZsuaqMlPWXN2z6t5f1lxVZsqaq8pMWXP5+7q+x0rWTFlz3TFr2scf4u+PPoDh/XpgeL8eePbJ0cjM+BoAcOrErxh4Z6crbl9/sblOc9b1XFlZIdxQr169xC+//OL048sqqt7WffKZCA8PF6vWfiRycveLpClTRefoaHHsZEG1j63rubpn1b2/O2UtLa9627T1CzF33gKxfsMmERISItanba72MSr11/3416es7K93f5Wysr/e/VXKqnt/lbKyf/3uL+P39Zr8zu4u/VU6VuwvZ+7eXy/Yt3c/+ky89++NYsuuvWJzxh4xZVaKCAsLExu/zhI/Hj0nvv7xF4dtevICERnVQWQeOO0wR6X+MmbWlKGLix9//PEVN09PT7F48WL77WtV3Sd08H1DxLTpM+23SyxW0T0uTixOXVKrgy9jru5Zde/vTllr8otH5ebKxUV36a/78a9PWdlf7/4qZWV/vfurlFX3/iplZf/63V/G7+s1+Z3dXfqrdKzYX87cyxcFr7R16hwtXn1rxRXvu7vfvWLsU5P+sF+l/jJm1pShL4seOHAgBg0ahIEDBzpsNpsNf/vb3+z3u1JFeTly9+5BTLdY+z6TyYSYmFhkZ33vVnN1z6p7f9WyyqBKfx5/dbKyv979VcrK/nr3Vymr7v1Vysr+eveXRaX+qmTVvb+MuVarFV9t/RwXL5ahXXjkH+4/sG8vDh3Yhz79BhqaU+Zc2d9XDF1cvPvuu5GYmIiTJ0/CZrPZN09PT+Tk5MBms8FqtVY5w2KxoLi42GGzWCxX/fiis0WwWq0IDAx02B8YGIiCggKnu8iYq3tW3furllUGVfrz+KuTlf317q9SVvbXu79KWXXvr1JW9te7vywq9Vclq+79XTn3l5/3Y1jf7ri/TwzeWDAHk1+Yjz+1uuUPH7dlw8e4uWVrtIuIMiRnXcyV/X3F0MXFtLQ09O7dG9HR0Vi/fr1TM5KTk+Hn5+ewvfxSsouTEhERERERERGRKm76Uyu8smwV5r6xHIkD7sei5Odx9JefHT7GYrmIL7ekIeEaz1okRw2MDvD000+jV69eGDFiBD799FO88sor1/T4pKQkTJgwwWGf8DRf9eMD/APg6emJwsJCh/2FhYUICgq6pueWPVf3rLr3Vy2rDKr05/FXJyv7691fpazsr3d/lbLq3l+lrOyvd39ZVOqvSlbd+7tyrpeXF4JvbgEAaNM2DPvz9uDTf32AJ5+Zav+Yb7ZvQbnlInrd/WfDctbFXNnfVww9c7FShw4dsHv3bnh4eKBDhw4QQtT4sWazGb6+vg6b2Xz1xUWvhg0RGhaOjJ3p9n02mw0ZGemIjOrodAcZc3XPqnt/1bLKoEp/Hn91srK/3v1Vysr+evdXKavu/VXKyv5695dFpf6qZNW9v8y5QthQUV7hsG/LZx+jS+wd8PMPcJucKh2rSoafuVjpuuuuw5tvvolPP/0U27Ztk/p/ZEaOfgTTpjyL8PAIRLSPxIr3l6OsrAwDBw12u7m6Z9W9v0pZS0tLcOTIEfvt48ePIS8vF35+fggObu5WWVWZyazqzFQpq+79VcrK/nr3Vymr7v1Vysr+evfX/fd1lbLq3t8Vc99f+ho63R6LoBuCUVZWgq+2bETOD5mY/vLr9o85cewI9mZ/h2kpiwzLWZdzZWUF3GhxEQBKSkpQUFCA66+/HmvXrsXw4cP/cLFJV+ib2A9FZ84gdfEiFBTko227UKQuWYbAWi5oypire1bd+6uUdU9ODsY8Osp+e/7c3659eu+AQXhhTopbZVVlJrOqM1OlrLr3Vykr++vdX6WsuvdXKSv7691f99/XVcqqe39XzD179gwWvvg8is4UwNvbBy1vuQ3TX34dHaJj7B+zJe1jBDa9ER26dDMsZ13OlZUVADzEtbwG2cXCwsKwY8cONGnSBEePHkWPHj1w9uxZhISE4ODBg2jQoAF27tyJ1q1bX9Pci5ckBSbSmIzvFB4erp9JRERERKQjWX/Z83d2UsWh/BKXz2zd1NvlM1XSqIanJBp6zcW8vDxcuvTbSmBSUhJuuukmHD58GLt27cLhw4cRGRmJ5557zsiIREREREREREREdBVu8YYuAJCeno4ZM2bAz88PAODj44OZM2dix44dBicjIiIiIiIiIiKiKzF8cdHj/86xvnjxIoKDgx3uu+mmm5Cfn29ELCIiIiIiIiIiIqqG4W/o0rt3bzRo0ADFxcXYt28fIiIi7PcdPnxYyhu6EBERERERERERUe0Zurg4ffp0h9s+Pj4Otz/99FP06NGjLiMRERERERERERFRDRn6btGy8N2iiVyP7xZNpAabTc6PdZPJ9f9g+X2FiIjIdY4WlkmZ+6fA66TMJTXo/vuajHegBtR5F2ol3i2aiIiIiIiIiIiI1MXFRSIiIiIiIiIiInIKFxeJiIiIiIiIiIjIKVxcJCIiIiIiIiIiIqdou7i4+oOVSOwTjy4d22PEsPvxY3a2287VPavu/WXNdfXMzN3fYvy4J9CnVxw6RLTFtq1bap2xkgr9Zc2UNVf3rDr3X7tmFR4Y3B9xMZ0RF9MZo0YMxY6vvqx1ThlZ+X1F769VWTNlzdU9q+79Zc1VZaasuarMlDW3NjM3/Gct/vrw/bi/b3fc37c7nhk7Crt37rDfv/jlF/DYsD9jcMLtePDeXngh6SkcPXzIkKx1OVPWXFVmypir0+9raR9/iL8/+gCG9+uB4f164NknRyMz42sAwKkTv2LgnZ2uuH39xeY6z1qXMwE3XFw8dOgQNm/ejJycHGnPsTFtA+bNTcbjT47D6g/XoW3bdhj7+F9QWFjodnN1z6p7f5WylpWVIqRtWyQ9N93pGVeiSn/dj79KWXXvf+ONN+L/t3fnYVHV7f/A38M2sggKigIKbuGCSu6ippmGWF/Xyso0bdc0NXtMyUzNXMvqsXIpy0rN7UnN3dTUogc1FZdKERCXXFJRUUBA4f794QM/BmHmzDkz4um8X9c11yUzw3vue5h7zpmPZ2ZeG/EGFi/7HouX/gctW7XG68OGICU5SXWms2rl84qxH6tG719PtRq9fz3Vyv6N039A5SoY8MowfPzFd/j4i+8Q2bQF3ntrBE6mJgMA6tStjxFjJmLOwpV494PZEBG888Zg5OXl3fVa71amnmrVU/9G2l8LqByI/i8Pw8zPF+ODeYvQqGkLTB37Ok6lpqBSYBUs+P5Hi9PTzw1COU8vNG3Z9q7XercyC0kZGjx4sFy/fl1ERLKysuSxxx4TFxcXMZlM4uLiIh07diy83B43blo/9X7scRk3fmLhz5k5edK2XTv5dPY8m797t3ONXqvR+7+Xas3KVX4KDw+XdRu32Lyenvo3+t//n1TrP73/zJx8u0/Nm7eQRUuWW72OM2rl84qxH6vs/59Tq9H711Ot7P+f3f+x81lWT02bNZdP5y8u8bLNvx6Q8PBw2bkv8Y7L9NK/nv5Weurf6Ptrf57NsHpq2qy5/PuLRSVe1uWRbjJ4xKgSL9NL/0qV6ZGL8+bNQ1ZWFgBg0qRJ2L17N7Zu3YqMjAz8/PPPOHXqFCZPnuzQ27yZm4sjf/6B1lFtCs9zcXFB69ZtcOhgwj2Va/Rajd6/3mp1Br30z7+/fmo1ev/F5eXlYdPG9bhxIwuNI+9XncPnFX1k6qlWo/evp1qN3r+eamX/xu0/Ly8PO7dtQnb2DdRr2PiOy7Nv3MDWDT+gSlAIKgVWLdNanZWpp1r11L+z6OF+zcvLwy/bNt+eq4g75yo58U+kJifi4Ud6lnmtzsosqkwXF0Wk8N9r167FjBkz0LFjR3h5eaFt27b48MMPsXLlSofe5pWrV5CXl4eAgACL8wMCAnDp0qV7KtfotRq9f73V6gx66Z9/f/3UavT+CyQdS0Sblk3RqlljTJ40ATM//hS1a9dRncfnFX1k6qlWo/evp1qN3r+eamX/xuv/REoSHu8ShV6dW2L2zPcw9r0PEVqjduHl61ctw+NdovB4lyjs2/0r3vtwLtzd3cukVmdn6qlWPfXvLPfy/XrieBKeimmLJx5ujTkfTsaYSTNRvUatO663dcMPqBZWE/UaRpZZrc7OLKrMP3PRZDIBAM6fP4/GjS1XeyMjI3H69Gmrv5+Tk4Nr165ZnHJycpxWLxERkd7VqFkTS/+zCt8uXoYn+jyFd94eg5SU5LIui4iIiBwoJLQGZn25DB/OXYiuPfrgoynv4NSJlMLLH3z4Efx7/lJMm/UlgquFYdr4N5HL19JEVoVUr4GP5i/BjDnfoGuPJzBr6js4feK4xXVycrLx89aN6KziqEW9KvPFxXHjxmHkyJFwcXHB2bNnLS5LS0uDt7e31d+fOnUq/Pz8LE7vT59a6vUrVqgIV1fXOz6wMi0tDZUqVVLdhzNyjV6r0fvXW63OoJf++ffXT61G77+Au7sHQkPD0CCiIYaNeAPh4fWwZNG3qvP4vKKPTD3VavT+9VSr0fvXU63s33j9u7u7I7haKOrUbYCBrwxDzTrhWLPiu8LLvX3KI6R6GBre3wyxkz7AX6dSEf/LT2VSq7Mz9VSrnvp3lnv5fnV3d0fQ/+aq/8uvoUbtcKz9/juL6/x351bk5mSjY5f/K9NanZ1ZVJkuLrZv3x6JiYlISEhAgwYNcPLkSYvLN2zYgIiICKsZsbGxSE9PtziNGh1b6vXdPTxQv0EEdu+KLzwvPz8fu3fHo3FkE9W9OCPX6LUavX+91eoMeumff3/91Gr0/ksjko/c3FzVv8/nFX1k6qlWo/evp1qN3r+eamX/xu4fACQ/HzdvlrK9FwEEpV9+F2s1+t9KT/07i57uV5F83My9aXHe1vU/oEWbDvCrUPGeqdXZf383zQka7Nixw+rlffv2xcCBA61ex2w2w2w2W5yXfcv67fYf8BzGvTUaEREN0bBRYyxa+A1u3LiBnr16K6j67uYavVaj96+nWrOyMnHq1KnCn8+c+QtHjx6Bn58fgoKC76la9ZLJWvWTqadaZ308E23btUdQUBAyMzOxccM67P1tD2bPna8601m18nnF2I9Vo/evp1qN3r+eamX/xun/63mz0LxVW1SuUhU3srKwY+tGHD6wF+9+MBvnz/6Fn3/ajKYtouBboSLSLvyNFYsXwMNsRvPWD9z1Wu9Wpp5q1VP/RtpfW/j5J2jaqg0qBQbhxo1M/LJ1E34/sA/j3/+s8Drn/jqFPw/tx7hps1TX6Yha71ZmgTJdXCwuMzMTy5cvR3JyMoKCgvD000/f8WGTjhDT9RFcuXwZsz+dhUuXLqJuvfqYPW8+AjQeCuqMXKPXavT+9VTrH7//jpeef7bw55kzbn88QbcevTBp8rR7qla9ZLJW/WTqqdbLly9j3NjRuHTxInzKl8d999XF7Lnz0bpNW9WZzqqVzyvGfqwavX891Wr0/vVUK/s3Tv/pVy7jwylv43LaJXh7+6BG7XC8+8FsNGkRhbRLF/DHwf1Ys2IxMq5fQ4WKAYiIbIr3Z3+DChX973qtdytTT7XqqX8j7a9dvXoZH095B1cu356rsFr3Yfz7n+H+5q0Lr7N14w8IqFwF97eIUl2nI2q9W5kFTFL0K5vvsgYNGiAuLg7+/v44ffo0HnjgAVy9ehXh4eFISUmBm5sbdu3ahZo1a9qVa+vIRSKynzOeKf73fU5E5ED5+c7ZrLu4OH5g+bxCRETkOKfTbjglt3qAp1NySR+Mvr+WejHTKbk1K1v/fpF7RTmFhySW6WcuHj16FLdu3V4JjI2NRUhICE6ePIk9e/bg5MmTaNy4McaOHVuWJRIREREREREREVEpyvzbogvEx8djwoQJ8PPzAwD4+Phg4sSJiIuLK+PKiIiIiIiIiIiIqCRlvrho+t/xsNnZ2QgKCrK4LCQkBBcvXiyLsoiIiIiIiIiIiMiGMv9Cl06dOsHNzQ3Xrl1DYmIiGjZsWHjZyZMnnfKFLkRERERERERERKRdmS4ujh8/3uJnHx8fi5/Xrl2LBx544G6WRERERERERERERAqV6bdFOwu/LZqIiIiIiIiIiO5FefmOX4pzdXH813Dr4tuiiYiIiIiIiIiISL+4uEhERERERERERESqcHGRiIiIiIiIiIiIVOHiIhEREREREREREali2MXFpd8tRteHH0KLJo3wzFNP4PChQ/dsrtFrNXr/zsrVS6azcvWS6axco9fK/o3dv7Ny9ZLprFy9ZDor1+i1Gr1/Z+XqJdNZuXrJdFau0Wtl/8bu31m5esksasH8z9G0UT28P32K5iyn1SplKDs7W3Jzcwt/Tk5Olrfeekv69esnY8eOlePHj6vKvXHT+mnVmvUSEREhS5b/R34/kiSxb70tzZo3l7/OX7L5u3c71+i1Gr1/PdXK/o3dv55qZf/G7l9PtbJ/Y/evp1qN3r+eamX/xu5fT7Wyf2P3r6da1WZm5OQrOu3ed1Ae7NhRHv2/bjL+3fesXtcZtSpVpouLHTp0kBUrVoiISFxcnJjNZmncuLE8+eST0qRJE/Hy8pL//ve/dufaukN7P/a4jBs/sfDnzJw8aduunXw6e56mB78zco1eq9H711Ot7N/Y/eupVvZv7P71VCv7N3b/eqrV6P3rqVb2b+z+9VQr+zd2/3qqVW2mkoXFC1euS+eHH5ZtO+Lk6b7PaF5cVFOrUmX6tuiEhARERkYCAMaOHYtXX30VBw8exNKlS7F//36MHDkSo0aNcuht3szNxZE//0DrqDaF57m4uKB16zY4dDDhnso1eq1G719PtbJ/Y/evp1rZv7H711Ot7N/Y/eupVqP3r6da2b+x+9dTrezf2P3rqVZn9V9g2uR30e6BB9GqSL5azq61TBcX8/LykJeXBwA4evQoBgwYYHH5wIEDcfDgQYfe5pWrV5CXl4eAgACL8wMCAnDp0qV7KtfotRq9fz3Vyv6N3b+eamX/xu5fT7Wyf2P3r6dajd6/nmpl/8buX0+1sn9j96+nWp3VPwBs3rgeR//8E6+NGKkpp4AzawXKeHGxVatWWLt2LQCgdu3adywkHjhwAP7+/lYzcnJycO3aNYtTTk6O02omIiIiIiIiIiJyhvPnz+H9aVPw3rQPYDaby7ocRdzK8sbfe+89dO3aFZmZmXj66afxxhtvICkpCfXr10diYiJmzZqF2NhYqxlTp07FxIkTLc4bO2483n5nQonXr1ihIlxdXZGWlmZxflpaGipVqqS6F2fkGr1Wo/evp1rZv7H711Ot7N/Y/eupVvZv7P71VKvR+9dTrezf2P3rqVb2b+z+9VSrs/o/8scfuHw5Dc882bvwvLy8POzftxfLlyzGrn2H4Orqek/UWqBMj1yMiorCxo0bsXnzZgwbNgxpaWmYPHky+vXrhy+//BITJkzAm2++aTUjNjYW6enpFqdRo0tfkHT38ED9BhHYvSu+8Lz8/Hzs3h2PxpFNVPfijFyj12r0/vVUK/s3dv96qpX9G7t/PdXK/o3dv55qNXr/eqqV/Ru7fz3Vyv6N3b+eanVW/y1bt8bylWuwZMWqwlODiIbo+mg3LFmxyu6FRWfWWqBMj1wEbi8wxsfH4+LFizh+/Djy8/MRFBSEGjVqKPp9s9l8x2Gi2bes/07/Ac9h3FujERHREA0bNcaihd/gxo0b6Nmrt/VftMEZuUav1ej966lW9m/s/vVUK/s3dv96qpX9G7t/PdVq9P71VCv7N3b/eqqV/Ru7fz3V6oxMb28f1Lkv3OI8T09P+FWocMf5ZV1rgTJfXCxQuXJleHl5Yfny5Vi3bh2Cg4Px1FNP3fFhk44Q0/URXLl8GbM/nYVLly6ibr36mD1vPgI0HgrqjFyj12r0/vVUK/s3dv96qpX9G7t/PdXK/o3dv55qNXr/eqqV/Ru7fz3Vyv6N3b+eanVW/87gzFpNIiIOqFGVBg0aIC4uDv7+/jh9+jTat2+PK1euIDw8HCkpKXBzc8OuXbtQs2ZNu3JtHblIRERERERERERUFvLyHb8U5+picnhmOYWHJJbpZy4ePXoUt27dXgmMjY1FcHAwTp48iT179uDkyZNo3Lgxxo4dW5YlEhERERERERERUSnKdHGxqPj4eEyYMAF+fn4AAB8fH0ycOBFxcXFlXBkRERERERERERGVpMwXF02m24dtZmdnIygoyOKykJAQXLx4sSzKIiIiIiIiIiIiIhvK/AtdOnXqBDc3N1y7dg2JiYlo2LBh4WUnT550yhe6EBERERERERERkXZlurg4fvx4i599fHwsfl67di0eeOCBu1kSERERERERERERKVSm3xbtLPy2aCIiMipnbdVNjv/yOSIiIiIiuofp4tuiiYiIiIiIiIiISL+4uEhERERERERERESqcHGRiIiIiIiIiIiIVOHiIhEREREREREREanCxUUiIiIiIiIiIiJSpUwXF7///ntkZWWVyW0v/W4xuj78EFo0aYRnnnoChw8dumdzjV6r0ft3Vq5eMp2Vq5dMZ+UavVYj979v728YNmQQHu7YDvc3rIuftm3VXGMBPfTvzFy9ZDorVy+Zzso1eq1G799ZuXrJdFauXjKdlWv0Wtm/sft3Vq5eMp2V66xaIWXIZDKJr6+vvPTSS7Jr1y6H5d64af20as16iYiIkCXL/yO/H0mS2LfelmbNm8tf5y/Z/N27nWv0Wo3ev55qZf/G7l9Ptf7T+8/KtX76cdsOmfHBh7Juw48SHh4u6zZusfk7Wbn66V9Pfyv2z/7/KbUavX891cr+jd2/nmpl/8buX0+1/tP7V6rMFxffffddadKkiZhMJomIiJCPPvpILl26pCnX1h3a+7HHZdz4iYU/Z+bkSdt27eTT2fM0/fGdkWv0Wo3ev55qZf/G7l9Ptf7T+1eyUFhwcuTi4r3Sv57+Vuyf/f9TajV6/3qqlf0bu3891cr+jd2/nmr9p/evVJl/5uIrr7yC/fv347fffkP79u0xceJEhISEoE+fPtiyZYvDb+9mbi6O/PkHWke1KTzPxcUFrVu3waGDCfdUrtFrNXr/eqqV/Ru7fz3VavT+nUVP/eulVvZv7P71VKvR+9dTrezf2P3rqVb2b+z+9VSr0fsvqswXFws0a9YMs2fPxrlz5/DFF1/g4sWLiImJQc2aNa3+Xk5ODq5du2ZxysnJKfX6V65eQV5eHgICAizODwgIwKVLl1TX74xco9dq9P71VCv7N3b/eqrV6P07i57610ut7N/Y/eupVqP3r6da2b+x+9dTrezf2P3rqVaj919UmS4umkymO84rV64c+vfvj+3btyMxMRF9+/a1mjF16lT4+flZnN6fPtVZJRMREREREREREdH/uJXljYuI1cvr1KmDyZMnW71ObGwsRo4caZnrai71+hUrVISrqyvS0tIszk9LS0OlSpVsVFw6Z+QavVaj96+nWtm/sfvXU61G799Z9NS/Xmpl/8buX0+1Gr1/PdXK/o3dv55qZf/G7l9PtRq9/6LK9MjF1NRUVK5cWVOG2WyGr6+vxclsLn1x0d3DA/UbRGD3rvjC8/Lz87F7dzwaRzZRXYczco1eq9H711Ot7N/Y/eupVqP37yx66l8vtbJ/Y/evp1qN3r+eamX/xu5fT7Wyf2P3r6dajd5/UWV65GJYWJjFz5mZmVi+fDmSk5MRFBSEp59++o73gztC/wHPYdxboxER0RANGzXGooXf4MaNG+jZq/c9l2v0Wo3ev55qZf/G7l9PtRq9/6ysTJw6darw5zNn/sLRo0fg5+eHoKDge6pWo/+t2L+x+9dTrUbvX0+1sn9j96+nWtm/sfvXU61G779AmS4uNmjQAHFxcfD398fp06fRvn17XLlyBeHh4UhJScGkSZOwa9cum1/qYq+Yro/gyuXLmP3pLFy6dBF169XH7HnzEaDxUFBn5Bq9VqP3r6da2b+x+9dTrUbv/4/ff8dLzz9b+PPMGbc/p7hbj16YNHnaPVWr0f9W7N/Y/eupVqP3r6da2b+x+9dTrezf2P3rqVaj91/AJLY++NCJXFxccP78eQQGBqJfv35ITU3Fhg0b4Ofnh4yMDPTq1QuVK1fGd999Z1du9i0nFUxERHSPc9ZWvYTvYCMiIiIion+wcgoPSSzTz1wsKj4+HhMmTICfnx8AwMfHBxMnTkRcXFwZV0ZEREREREREREQlKfPFRdP/DoXIzs5GUFCQxWUhISG4ePFiWZRFRERERERERERENpTpZy4CQKdOneDm5oZr164hMTERDRs2LLzs5MmTTvlCFyIiIiIiIiIiItKuTBcXx48fb/Gzj4+Pxc9r167FAw88cDdLIiIiIiIiIiIiIoXK9AtdnIVf6EJEREbFL3QhIiIiIiJHUPqFLhADy87OlvHjx0t2dvY9nemsXL1kOivX6LUavX9n5eol01m5esl0Vq7Ra2X/xu7fWbl6yXRWrl4ynZVr9FqN3r+zcvWS6axcvWQ6K9fotbJ/Y/fvrFxDLy6mp6cLAElPT7+nM52Vq5dMZ+UavVaj9++sXL1kOitXL5nOyjV6rezf2P07K1cvmc7K1Uums3KNXqvR+3dWrl4ynZWrl0xn5Rq9VvZv7P6dlVvm3xZNRERERERERERE+sTFRSIiIiIiIiIiIlKFi4tERERERERERESkiqEXF81mM8aPHw+z2XxPZzorVy+Zzso1eq1G799ZuXrJdFauXjKdlWv0Wtm/sft3Vq5eMp2Vq5dMZ+UavVaj9++sXL1kOitXL5nOyjV6rezf2P07K9ckIuKwNCIiIiIiIiIiIjIMQx+5SEREREREREREROpxcZGIiIiIiIiIiIhU4eIiERERERERERERqcLFRSIiIiIiIiIiIlLFsIuLn332GWrUqIFy5cqhVatW2LNnj6a8n3/+Gd26dUNwcDBMJhNWr16tucapU6eiRYsWKF++PAIDA9GzZ08kJiZqzp0zZw4aN24MX19f+Pr6IioqChs3btScW9S0adNgMpkwYsQITTkTJkyAyWSyONWrV09zfWfOnEG/fv0QEBAAT09PNGrUCHv37lWdV6NGjTvqNJlMGDJkiKY68/LyMG7cONSsWROenp6oXbs2Jk2aBK3fw3T9+nWMGDECYWFh8PT0RJs2bfDbb7/ZlWHrMS8ieOeddxAUFARPT0907twZSUlJmjJXrlyJ6OhoBAQEwGQy4cCBA5rqvHnzJkaPHo1GjRrB29sbwcHBePbZZ3H27FnN/U+YMAH16tWDt7c3KlasiM6dO2P37t2aMosaNGgQTCYTPv74Y02ZAwcOvONxGxMTYzVTaa1HjhxB9+7d4efnB29vb7Ro0QKnTp1SnVnSjJlMJrz//vuqMzMyMjB06FBUq1YNnp6eaNCgAebOnau5/7///hsDBw5EcHAwvLy8EBMTY/Pxr+Q5Pzs7G0OGDEFAQAB8fHzw2GOP4e+//9aU+fnnn+PBBx+Er68vTCYTrl69arN/W7mXL1/Ga6+9hrp168LT0xOhoaEYNmwY0tPTNdX6yiuvoHbt2vD09ETlypXRo0cPHD16VFNmARFB165dFW3DleQ++OCDdzxWBw0apLnW+Ph4PPTQQ/D29oavry/at2+PGzduqMo8ceJEqXO1YsUKTbWeP38e/fv3R9WqVeHt7Y2mTZvi+++/15SZkpKCXr16oXLlyvD19UWfPn2sPv4B2/s89s6Ukkw1M2UtU808Ka3V3plSklnAnplSkmvvTCmt1Z6ZspWpdqaU1GrvTCnJVDNTxZW0z69mrmxlqpkrW7laZstarWrmSkluAXtny1qmmrlSUqe9c2UrV8tsWatVzVzZylQzV7Ze86qdKVu5aubKWqbambJVp9qZUrqWYM9M2cpUM1NK6lQzU9ZyHTFTxRlycXHZsmUYOXIkxo8fj/379yMyMhJdunTBhQsXVGdmZmYiMjISn332mcPq3LlzJ4YMGYJdu3Zhy5YtuHnzJqKjo5GZmakpt1q1apg2bRr27duHvXv34qGHHkKPHj3wxx9/OKTu3377DfPmzUPjxo0dkhcREYFz584VnuLi4jTlXblyBW3btoW7uzs2btyIP//8EzNnzkTFihVVZ/72228WNW7ZsgUA8MQTT2iqdfr06ZgzZw4+/fRTHDlyBNOnT8eMGTPwySefaMp98cUXsWXLFixcuBCHDx9GdHQ0OnfujDNnzijOsPWYnzFjBmbNmoW5c+di9+7d8Pb2RpcuXZCdna06MzMzE+3atcP06dMdUmdWVhb279+PcePGYf/+/Vi5ciUSExPRvXt3TbkAEB4ejk8//RSHDx9GXFwcatSogejoaFy8eFF1ZoFVq1Zh165dCA4O1lwnAMTExFg8fpcsWaI5NyUlBe3atUO9evWwY8cOHDp0COPGjUO5cuVUZxat8dy5c/jqq69gMpnw2GOPqc4cOXIkNm3ahEWLFuHIkSMYMWIEhg4dijVr1ljp3nquiKBnz544fvw4fvjhByQkJCAsLAydO3e2+vyt5Dn/9ddfx9q1a7FixQrs3LkTZ8+eRe/evTVlZmVlISYmBm+99ZbVnu3JPXv2LM6ePYsPPvgAv//+O77++mts2rQJL7zwgqZamzVrhgULFuDIkSPYvHkzRATR0dHIy8tTnVng448/hslkckj/BV566SWLx+yMGTM0ZcbHxyMmJgbR0dHYs2cPfvvtNwwdOhQuLiXvztnKrF69+h1zNXHiRPj4+KBr166aan322WeRmJiINWvW4PDhw+jduzf69OmDhIQEVZmZmZmIjo6GyWTCTz/9hF9//RW5ubno1q0b8vPzS63V1j6PvTOlJFPNTFnLVDNPSmu1d6aUZBawZ6aU5tozU0oy7Z0pW5lqZ0pJrfbOlK1MtTNVVGn7/GrmylammrmylatltqzVqmaulOQWsHe2bGXaO1e2MtXMla1cLbNlrVY1c2UtU8tcWXvNq2WmrOWqnavSMrXMlLU6tcyUkrUEe2fKVqaambKWqWWmSsvVOlMlEgNq2bKlDBkypPDnvLw8CQ4OlqlTpzokH4CsWrXKIVlFXbhwQQDIzp07HZ5dsWJFmT9/vuac69evy3333SdbtmyRDh06yPDhwzXljR8/XiIjIzXXVdTo0aOlXbt2Ds0sbvjw4VK7dm3Jz8/XlPPoo4/K888/b3Fe79695ZlnnlGdmZWVJa6urrJu3TqL85s2bSpjx45VlVn8MZ+fny9Vq1aV999/v/C8q1evitlsliVLlqjKLCo1NVUASEJCgqY6S7Jnzx4BICdPnnRobnp6ugCQrVu3asr866+/JCQkRH7//XcJCwuTjz76SFOdAwYMkB49eijOUJr75JNPSr9+/RyaWVyPHj3koYce0pQZEREh7777rsV59s5C8dzExEQBIL///nvheXl5eVK5cmX54osvFOcWf86/evWquLu7y4oVKwqvc+TIEQEg8fHxqjKL2r59uwCQK1euKK5RSW6B5cuXi4eHh9y8edNhmQcPHhQAkpycrCkzISFBQkJC5Ny5c6q24SXlat0GlpTZqlUrefvttx2aWdz9999/x3ZHTa63t7d8++23Ftfz9/dXPAPFMzdv3iwuLi6Snp5eeJ2rV6+KyWSSLVu22FVvwT6PI2aqeGZRWmaqtMwC9s6T0lx7Z6q0TK0zVVKuI/Yri2dqnamSMotTM1Ml5WqdqeKZWmeqtH1+LXOl5HWEmrmy5/WJ0tmyJ9OeubKVq2a2rGWqnStrmVrmyp77VelsWctUO1elZaqdK2uvebXMlNLX0vbMlb2vz5XMlL2ZSmdKSa69M2UrU81M2cpUO1P23q9atlciIoY7cjE3Nxf79u1D586dC89zcXFB586dER8fX4aV2VZwOLG/v7/DMvPy8rB06VJkZmYiKipKc96QIUPw6KOPWty/WiUlJSE4OBi1atXCM888Y/VtlUqsWbMGzZs3xxNPPIHAwEA0adIEX3zxhYOqvf0YW7RoEZ5//nm7/1exuDZt2mDbtm04duwYAODgwYOIi4tT/78JAG7duoW8vLw7jiDz9PTUfFRogdTUVJw/f97iceDn54dWrVrpYs5MJhMqVKjgsMzc3Fx8/vnn8PPzQ2RkpOqc/Px89O/fH6NGjUJERITD6tuxYwcCAwNRt25dDB48GGlpaZry8vPzsX79eoSHh6NLly4IDAxEq1atHPJxEQX+/vtvrF+/XvHRBaVp06YN1qxZgzNnzkBEsH37dhw7dgzR0dGqM3NycgDAYsZcXFxgNpvtmrHiz/n79u3DzZs3LeaqXr16CA0NVTxXztiOKM1NT0+Hr68v3NzcHJKZmZmJBQsWoGbNmqhevbrqzKysLPTt2xefffYZqlatqihHaa2LFy9GpUqV0LBhQ8TGxiIrK0t15oULF7B7924EBgaiTZs2qFKlCjp06KDpMVXcvn37cODAAbvnqqTcNm3aYNmyZbh8+TLy8/OxdOlSZGdn48EHH1SVmZOTA5PJBLPZXHidcuXKwcXFRfF9UHyfxxEz5ej9KKWZ9s6Tklw1M1VSpiNmqrRatcxU8UxHzJSt+1TtTJWUq3WmimdqnanS9vm1zJUzXkfYm6t0tpRm2jtX1nLVzpatWtXMVWmZWudK6f1qz2xZy1Q7V6Vlapmr0l7zat1WOfq1tL2ZSmdKaaa9M2UtV+1M2apVzUyVlql1ppTer2q3VxZUL0vq1JkzZwSA/Pe//7U4f9SoUdKyZUuH3AaccORiXl6ePProo9K2bVuH5B06dEi8vb3F1dVV/Pz8ZP369ZozlyxZIg0bNpQbN26IiGP+h3nDhg2yfPlyOXjwoGzatEmioqIkNDRUrl27pjrTbDaL2WyW2NhY2b9/v8ybN0/KlSsnX3/9taZaCyxbtkxcXV3lzJkzmrPy8vJk9OjRYjKZxM3NTUwmk0yZMkVzblRUlHTo0EHOnDkjt27dkoULF4qLi4uEh4eryiv+mP/1118FgJw9e9biek888YT06dNHVWZRzjpy8caNG9K0aVPp27evQ3LXrl0r3t7eYjKZJDg4WPbs2aMpc8qUKfLwww8XHhHriCMXlyxZIj/88IMcOnRIVq1aJfXr15cWLVrIrVu3VOcW/M+fl5eXfPjhh5KQkCBTp04Vk8kkO3bsUF1rUdOnT5eKFSsWPt+ozczOzpZnn31WAIibm5t4eHjIN998ozizpNzc3FwJDQ2VJ554Qi5fviw5OTkybdo0ASDR0dGKMkt6zl+8eLF4eHjccd0WLVrIm2++qSqzKLVHWSnZPl28eFFCQ0Plrbfe0pz52Wefibe3twCQunXrKj7CqrTMl19+WV544YXCn+3dhpeWO2/ePNm0aZMcOnRIFi1aJCEhIdKrVy/VmfHx8QJA/P395auvvpL9+/fLiBEjxMPDQ44dO6a6zqIGDx4s9evXV1SjrdwrV65IdHR04Wz5+vrK5s2bVWdeuHBBfH19Zfjw4ZKZmSkZGRkydOhQASAvv/yy1bzS9nm0zJSS/Sh7Z0rpvpm982QrV81MWcvUMlPWctXOVGmZWmZK6d/K3pmylqt2pkrL1DJT1vb51c6V0tcR9s6VPa9PlM6Wkkw1c2UrV81s2cpUM1fWMrXMlT1/K6WzZStTzVxZy1Q7V9Ze82rZVil9LW3PXNnz+lzpTCnJVDNTtnLVzJStTDUzZS1Ty0zZ87dSsw9YHBcX/+deX1wcNGiQhIWFyenTpx2Sl5OTI0lJSbJ3714ZM2aMVKpUSf744w/VeadOnZLAwEA5ePBg4XmOevtKUVeuXBFfX19Nb+F2d3eXqKgoi/Nee+01ad26tdbyREQkOjpa/u///s8hWUuWLJFq1arJkiVL5NChQ/Ltt9+Kv7+/5oXQ5ORkad++vQAQV1dXadGihTzzzDNSr149VXn/hMXF3Nxc6datmzRp0sTirQxacjMyMiQpKUni4+Pl+eeflxo1asjff/+tKnPv3r1SpUoVi0VrRywuFpeSkmLX27dLyi14nn366actrtetWzd56qmnHFJr3bp1ZejQoYprLC3z/fffl/DwcFmzZo0cPHhQPvnkE/Hx8bHrbZYl5e7du1ciIyMLZ6xLly7StWtXiYmJUZRZ0nO+1sVFW9sRtYuLtnLT09OlZcuWEhMTI7m5uZozr169KseOHZOdO3dKt27dpGnTpooWmUvK/OGHH6ROnTpy/fr1wvPs3YYr3T5v27ZN8dviSsoseF6NjY21uG6jRo1kzJgxmuvMysoSPz8/+eCDD2xmKckdOnSotGzZUrZu3SoHDhyQCRMmiJ+fnxw6dEh15ubNm6VWrVpiMpnE1dVV+vXrJ02bNpVBgwZZzSttn0fLTCnZj7J3ppRkqpknW7lqZqq0TK0zZc/+qdKZKi1Ty0wpqVPNTFnLVTtT1jLVzJStfX41c2XP6wh75sqeXKWzpTTT3rmylatmttS8PrM1V7Yy1c6VPbUqnS0lmfbOlZJMtduqooq+5tW6/1dablFaPsajtEw12ytrmWr3/0rLdcQ+YGm1FmXP/l9JmVr3/5TUqnYfsDjDLS7m5OSIq6vrHQ+aZ599Vrp37+6Q23D04uKQIUOkWrVqcvz4cYdlFtepUyeb/0tpzapVqwpfRBecABQ+qdpzFJQtzZs3t3uQigoNDbX4HwoRkdmzZ0twcLDW0uTEiRPi4uIiq1ev1pwlIlKtWjX59NNPLc6bNGmS1K1b1yH5GRkZhQuAffr0kUceeURVTvHHfMECVfHFv/bt28uwYcNUZRbl6MXF3Nxc6dmzpzRu3FguXbpkV6atWouqU6eO4iNPi2d+9NFHhfNUdMZcXFwkLCzMoXVWqlRJ5s6dqyizpNycnBxxc3OTSZMmWVzvzTfflDZt2miu9eeffxYAcuDAAcU1lpSZlZUl7u7ud3z+6AsvvCBdunRRnVvU1atX5cKFCyJy+/N+X331VZt5pT3nF+ycFN/xCw0NlQ8//FBVZlFqdixt5V67dk2ioqKkU6dOincA7dnm5eTkiJeXl3z33XeqMocPH17qXHXo0MGhtWZkZAgA2bRpk6rM48ePCwBZuHChxfl9+vSxebS1kjq//fZbcXd3L3y8KlFabnJy8h2fOypye1/jlVde0VzrxYsXCx+nVapUkRkzZiiuuaCOl19+WdNMlZZZlNbPXCyeqWaelNZaQOlMlZapdabsqVXpTJWWqWWmlNSpZqZKy9UyU0pqtWembO3zb9261e65sud1hD1zpTTXntlS85pHyVzZyh06dKjds6WmVltzZSuz4LFq71zZU6vS2VJaqz1zZU+dWrdVBa95HbmtKppblNbtVfFMR2yvrL3mV7utKprryO2VtVrVbqsKMh25rSqtVkdsr0RElH9Qyz+Eh4cHmjVrhm3btqFnz54Abn8+2LZt2zB06NCyLa4YEcFrr72GVatWYceOHahZs6bTbis/P7/wc8LU6NSpEw4fPmxx3nPPPYd69eph9OjRcHV11VoiACAjIwMpKSno37+/6oy2bdsiMTHR4rxjx44hLCxMa3lYsGABAgMD8eijj2rOAm5/DkTxb4FydXVV/C1+tnh7e8Pb2xtXrlzB5s2bFX87nC01a9ZE1apVsW3bNtx///0AgGvXrmH37t0YPHiwQ27DUW7evIk+ffogKSkJ27dvR0BAgNNuS8uc9e/f/47PdenSpQv69++P5557zhHlAQD++usvpKWlISgoSHWGh4cHWrRo4bQ5+/LLL9GsWTNNn18J3P7b37x506kz5ufnB+D2553s3bsXkyZNKvW6tp7zmzVrBnd3d2zbtq3wG7ITExNx6tSpUj+XzVnbESW5165dQ5cuXWA2m7FmzRqr3xSutla5/Z+kpc6VrcwxY8bgxRdftDivUaNG+Oijj9CtWzeH1nrgwAEAKHW2bGXWqFEDwcHBJc5VaZ/Da0+dX375Jbp3747KlSvb7MVWbsFnC9kzW/bUWqlSJQDATz/9hAsXLqB79+42ay6q4LlYzUzZynSkopn2zpPS3OJszZStzIkTJ6qaKTW12popW5lqZsqeOu2ZKVu5ambKnlrtmSlb+/zVq1e3e66c9TpCSa69s6WmViVzZSu3UqVKeOWVVywutzVbamq1NVe2MmvVqqVqruypVels2cpUM1f21KllW1X0Na8jt1WOeC1tK9MR2ytbdardVhXN7dOnj0O2V7ZqVbOtKprpyG1VabU6YnsFAIY7clFEZOnSpWI2m+Xrr7+WP//8U15++WWpUKGCnD9/XnXm9evXJSEhQRISEgRA4eeM2fONs8UNHjxY/Pz8ZMeOHXLu3LnCU1ZWlupMEZExY8bIzp07JTU1VQ4dOiRjxowRk8kkP/74o6bc4hzxtug33nhDduzYIampqfLrr79K586dpVKlSppW1ffs2SNubm4yefJkSUpKksWLF4uXl5csWrRIU615eXkSGhoqo0eP1pRT1IABAyQkJETWrVsnqampsnLlSqlUqZLdh8AXt2nTJtm4caMcP35cfvzxR4mMjJRWrVrZdci6rcf8tGnTpEKFCoWf59ejRw+pWbOm1f+9spWZlpYmCQkJsn79egEgS5culYSEBDl37pyqzNzcXOnevbtUq1ZNDhw4YDFnOTk5qvvPyMiQ2NhYiY+PlxMnTsjevXvlueeeE7PZfMf/jtrTf3FK3hZtLfP69evyr3/9S+Lj4yU1NVW2bt0qTZs2lfvuu0+ys7NV54qIrFy5Utzd3eXzzz+XpKQk+eSTT8TV1VV++eUXTf2np6eLl5eXzJkzx2p9SjM7dOggERERsn37djl+/LgsWLBAypUrJ7Nnz9aUu3z5ctm+fbukpKTI6tWrJSwsTHr37m01U8lz/qBBgyQ0NFR++ukn2bt3r0RFRd3xMQ/2Zp47d04SEhLkiy++EADy888/S0JCgqSlpanOTU9Pl1atWkmjRo0kOTnZ4jqlHcluKzMlJUWmTJkie/fulZMnT8qvv/4q3bp1E39//1I/bkDNdhQKjvC1lZucnCzvvvuu7N27V1JTU+WHH36QWrVqSfv27VVnitw+gtnX11dWrFghSUlJ8vbbb0u5cuVKfauN0v6TkpLEZDLJxo0brfatNDc3N1fq1KkjDzzwgOzevVuSk5Plgw8+EJPJZPWz6WzV+tVXX0l8fLwkJyfLwoULxd/fX0aOHGm1Vlv7PPbOlJJMNTNlLVPNPCnJVTNTSvovTslM2cpVM1NKarV3ppT2b+9M2cpVM1NKalUzUyUpvs+vZq5sZaqZK1u5WmartEy1c2UrtyRKZ6u0TLVzZatONXOlJFdE3WyVlql2rmzVqWaubL3mVTtTtnLVzJW1TLUzZS1Ty0zZu5agZKasZaqdKVt1qp0pJf1rnamiDLm4KCLyySefSGhoqHh4eEjLli1l165dmvIKDiUufhowYIDqzJLyAMiCBQs01fr8889LWFiYeHh4SOXKlaVTp04OX1gUcczi4pNPPilBQUHi4eEhISEh8uSTT9q9YSrJ2rVrpWHDhmI2m6VevXry+eefa87cvHmzAJDExETNWQWuXbsmw4cPl9DQUClXrpzUqlVLxo4da3Phy5Zly5ZJrVq1xMPDQ6pWrSpDhgyRq1ev2pVh6zGfn58v48aNkypVqojZbJZOnTrZvG9sZS5YsKDEy8ePH68qs+Dt1SWdtm/frrrWGzduSK9evSQ4OFg8PDwkKChIunfvbvMLXex9HlGyuGgtMysrS6Kjo6Vy5cri7u4uYWFh8tJLLyn6jxYltX755ZdSp04dKVeunERGRtr8uAAlmfPmzRNPT0/Fj1dbmefOnZOBAwdKcHCwlCtXTurWrSszZ84s/NIctbn//ve/pVq1auLu7i6hoaHy9ttv25xbJc/5N27ckFdffVUqVqwoXl5e0qtXL6uL60oyx48fb/e2xlZuafcPAElNTVWVeebMGenatasEBgaKu7u7VKtWTfr27StHjx7V1H9Jv2Nrx9JW7qlTp6R9+/bi7+8vZrNZ6tSpI6NGjbL6ea5Ka506dapUq1ZNvLy8JCoqyuqCvdLM2NhYqV69uuTl5Vnt257cY8eOSe/evSUwMFC8vLykcePG8u2332rKHD16tFSpUkXc3d3lvvvuUzSrtvZ57J0pJZlqZspappp5UpKrZqaU9F+ckpmylatmppTWas9MKc20d6aU5No7U0oy1cxUSYrv86uZK1uZaubKVq6W2SotU+1c2cotidLZKi1T7VwpqdPeuVKaq2a2rGWqmStbmWrmytZrXrUzZStXzVxZy1Q7U9YytcyUvWsJSmbKWqbamVJSp5qZUpKrdaaKMomIgIiIiIiIiIiIiMhOLravQkRERERERERERHQnLi4SERERERERERGRKlxcJCIiIiIiIiIiIlW4uEhERERERERERESqcHGRiIiIiIiIiIiIVOHiIhEREREREREREanCxUUiIiIiIiIiIiJShYuLREREREREREREpAoXF4mIiIjIqQYOHIiePXsW/vzggw9ixIgRd72OHTt2wGQy4erVq3f9tomIiIj+qbi4SERERGRQAwcOhMlkgslkgoeHB+rUqYN3330Xt27dcurtrly5EpMmTVJ0XS4IEhEREd3b3Mq6ACIiIiIqOzExMViwYAFycnKwYcMGDBkyBO7u7oiNjbW4Xm5uLjw8PBxym/7+/g7JISIiIqKyxyMXiYiIiAzMbDajatWqCAsLw+DBg9G5c2esWbOm8K3MkydPRnBwMOrWrQsAOH36NPr06YMKFSrA398fPXr0wIkTJwrz8vLyMHLkSFSoUAEBAQF48803ISIWt1n8bdE5OTkYPXo0qlevDrPZjDp16uDLL7/EiRMn0LFjRwBAxYoVYTKZMHDgQABAfn4+pk6dipo1a8LT0xORkZH4z3/+Y3E7GzZsQHh4ODw9PdGxY0eLOomIiIjIMbi4SERERESFPD09kZubCwDYtm0bEhMTsWXLFqxbtw43b95Ely5dUL58efzyyy/49ddf4ePjg5iYmMLfmTlzJr7++mt89dVXiIuLw+XLl7Fq1Sqrt/nss89iyZIlmDVrFo4cOYJ58+bBx8cH1atXx/fffw8ASExMxLlz5/Dvf/8bADB16lR8++23mDt3Lv744w+8/vrr6NevH3bu3Ang9iJo79690a1bNxw4cAAvvvgixowZ46y7jYiIiMiw+LZoIiIiIoKIYNu2bdi8eTNee+01XLx4Ed7e3pg/f37h26EXLVqE/Px8zJ8/HyaTCQCwYMECVKhQATt27EB0dDQ+/vhjxMbGonfv3gCAuXPnYvPmzaXe7rFjx7B8+XJs2bIFnTt3BgDUqlWr8PKCt1AHBgaiQoUKAG4f6ThlyhRs3boVUVFRhb8TFxeHefPmoUOHDpgzZw5q166NmTNnAgDq1q2Lw4cPY/r06Q6814iIiIiIi4tEREREBrZu3Tr4+Pjg5s2byM/PR9++fTFhwgQMGTIEjRo1svicxYMHDyI5ORnly5e3yMjOzkZKSgrS09Nx7tw5tGrVqvAyNzc3NG/e/I63Rhc4cOAAXF1d0aFDB8U1JycnIysrCw8//LDF+bm5uWjSpAkA4MiRIxZ1AChciCQiIiIix+HiIhEREZGBdezYEXPmzIGHhweCg4Ph5vb/dw+9vb0trpuRkYFmzZph8eLFd+RUrlxZ1e17enra/TsZGRkAgPXr1yMkJMTiMrPZrKoOIiIiIlKHi4tEREREBubt7Y06deooum7Tpk2xbNkyBAYGwtfXt8TrBAUFYffu3Wjfvj0A4NatW9i3bx+aNm1a4vUbNWqE/Px87Ny5s/Bt0UUVHDmZl5dXeF6DBg1gNptx6tSpUo94rF+/PtasWWNx3q5du2w3SURERER24Re6EBEREZEizzzzDCpVqoQePXrgl19+QWpqKnbs2IFhw4bhr7/+AgAMHz4c06ZNw+rVq3H06FG8+uqruHr1aqmZNWrUwIABA/D8889j9erVhZnLly8HAISFhcFkMmHdunW4ePEiMjIyUL58efzrX//C66+/jm+++QYpKSnYv38/PvnkE3zzzTcAgEGDBiEpKQmjRo1CYmIivvvuO3z99dfOvouIiIiIDIeLi0RERESkiJeXF8GGUrsAAAE/SURBVH7++WeEhoaid+/eqF+/Pl544QVkZ2cXHsn4xhtvoH///hgwYACioqJQvnx59OrVy2runDlz8Pjjj+PVV19FvXr18NJLLyEzMxMAEBISgokTJ2LMmDGoUqUKhg4dCgCYNGkSxo0bh6lTp6J+/fqIiYnB+vXrUbNmTQBAaGgovv/+e6xevRqRkZGYO3cupkyZ4sR7h4iIiMiYTFLap2sTERERERERERERWcEjF4mIiIiIiIiIiEgVLi4SERERERERERGRKlxcJCIiIiIiIiIiIlW4uEhERERERERERESqcHGRiIiIiIiIiIiIVOHiIhEREREREREREanCxUUiIiIiIiIiIiJShYuLREREREREREREpAoXF4mIiIiIiIiIiEgVLi4SERERERERERGRKlxcJCIiIiIiIiIiIlX+H9KKPYP+PosxAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1600x1600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 16))\n",
    "sns.heatmap(cm_ResNet50, annot=True, vmin=0, fmt='g', cmap='Blues', cbar=False)\n",
    "plt.xlabel(\"Predicted\")\n",
    "plt.ylabel(\"Actual\")\n",
    "plt.title(\"Confusion Matrix\")\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "accelerator": "GPU",
  "colab": {
   "gpuType": "T4",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}