{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\scipy\\__init__.py:155: UserWarning: A NumPy version >=1.18.5 and <1.25.0 is required for this version of SciPy (detected version 1.26.3\n",
      "  warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From C:\\Users\\Admin\\AppData\\Roaming\\Python\\Python39\\site-packages\\keras\\src\\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import classification_report, confusion_matrix\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/train-labels-idx1-ubyte.gz\n",
      "29515/29515 [==============================] - 1s 45us/step\n",
      "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/train-images-idx3-ubyte.gz\n",
      "26421880/26421880 [==============================] - 57s 2us/step\n",
      "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/t10k-labels-idx1-ubyte.gz\n",
      "5148/5148 [==============================] - 0s 0s/step\n",
      "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/t10k-images-idx3-ubyte.gz\n",
      "4422102/4422102 [==============================] - 9s 2us/step\n"
     ]
    }
   ],
   "source": [
    "(x_train, y_train),  (x_test, y_test) = tf.keras.datasets.fashion_mnist.load_data()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(((60000, 28, 28), (60000,)), ((10000, 28, 28), (10000,)))"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(x_train.shape, y_train.shape), (x_test.shape, y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "class_names = ['T-shirt/top', 'Trouser', 'Pullover', 'Dress', 'Coat',\n",
    "               'Sandal', 'Shirt', 'Sneaker', 'Bag', 'Ankle boot']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_train_cat = tf.keras.utils.to_categorical(y_train)\n",
    "y_test_cat = tf.keras.utils.to_categorical(y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.imshow(x_train[0])\n",
    "plt.colorbar()\n",
    "plt.grid(False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_images = x_train / 255.0\n",
    "\n",
    "test_images = x_test / 255.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 25 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,10))\n",
    "for i in range(25):\n",
    "    plt.subplot(5,5,i+1)\n",
    "    plt.xticks([])\n",
    "    plt.yticks([])\n",
    "    plt.grid(False)\n",
    "    plt.imshow(train_images[i], cmap=plt.cm.binary)\n",
    "    plt.xlabel(class_names[y_train[i]])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From C:\\Users\\Admin\\AppData\\Roaming\\Python\\Python39\\site-packages\\keras\\src\\backend.py:1398: The name tf.executing_eagerly_outside_functions is deprecated. Please use tf.compat.v1.executing_eagerly_outside_functions instead.\n",
      "\n",
      "WARNING:tensorflow:From C:\\Users\\Admin\\AppData\\Roaming\\Python\\Python39\\site-packages\\keras\\src\\layers\\normalization\\batch_normalization.py:979: The name tf.nn.fused_batch_norm is deprecated. Please use tf.compat.v1.nn.fused_batch_norm instead.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "model = tf.keras.Sequential([\n",
    "    tf.keras.layers.Input(shape=(28, 28, 1)),\n",
    "    tf.keras.layers.Conv2D(32, kernel_size=(3, 3), padding='same', activation='relu'),\n",
    "    tf.keras.layers.AvgPool2D(pool_size=(2, 2)),\n",
    "    tf.keras.layers.Conv2D(16, kernel_size=(3, 3), padding='same', activation='relu'),\n",
    "    tf.keras.layers.AvgPool2D(pool_size=(2, 2)),\n",
    "    tf.keras.layers.Conv2D(8, kernel_size=(3, 3), padding='same', activation='relu'),\n",
    "    tf.keras.layers.AvgPool2D(pool_size=(2, 2)),\n",
    "    tf.keras.layers.BatchNormalization(),\n",
    "    tf.keras.layers.Flatten(),\n",
    "    tf.keras.layers.Dense(128, activation='relu'),\n",
    "    tf.keras.layers.Dense(10, activation=\"softmax\")\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From C:\\Users\\Admin\\AppData\\Roaming\\Python\\Python39\\site-packages\\keras\\src\\optimizers\\__init__.py:309: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "model.compile(loss=\"categorical_crossentropy\",\n",
    "             optimizer=\"adam\",\n",
    "             metrics=[\"accuracy\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "WARNING:tensorflow:From C:\\Users\\Admin\\AppData\\Roaming\\Python\\Python39\\site-packages\\keras\\src\\utils\\tf_utils.py:492: The name tf.ragged.RaggedTensorValue is deprecated. Please use tf.compat.v1.ragged.RaggedTensorValue instead.\n",
      "\n",
      "WARNING:tensorflow:From C:\\Users\\Admin\\AppData\\Roaming\\Python\\Python39\\site-packages\\keras\\src\\engine\\base_layer_utils.py:384: The name tf.executing_eagerly_outside_functions is deprecated. Please use tf.compat.v1.executing_eagerly_outside_functions instead.\n",
      "\n",
      "1875/1875 [==============================] - 43s 22ms/step - loss: 0.4917 - accuracy: 0.8211 - val_loss: 0.4017 - val_accuracy: 0.8501\n",
      "Epoch 2/10\n",
      "1875/1875 [==============================] - 40s 21ms/step - loss: 0.3237 - accuracy: 0.8795 - val_loss: 0.3651 - val_accuracy: 0.8606\n",
      "Epoch 3/10\n",
      "1875/1875 [==============================] - 39s 21ms/step - loss: 0.2844 - accuracy: 0.8942 - val_loss: 0.3213 - val_accuracy: 0.8847\n",
      "Epoch 4/10\n",
      "1875/1875 [==============================] - 39s 21ms/step - loss: 0.2628 - accuracy: 0.9022 - val_loss: 0.3204 - val_accuracy: 0.8787\n",
      "Epoch 5/10\n",
      "1875/1875 [==============================] - 39s 21ms/step - loss: 0.2471 - accuracy: 0.9080 - val_loss: 0.3016 - val_accuracy: 0.8858\n",
      "Epoch 6/10\n",
      "1875/1875 [==============================] - 39s 21ms/step - loss: 0.2334 - accuracy: 0.9143 - val_loss: 0.2725 - val_accuracy: 0.9001\n",
      "Epoch 7/10\n",
      "1875/1875 [==============================] - 39s 21ms/step - loss: 0.2218 - accuracy: 0.9183 - val_loss: 0.2704 - val_accuracy: 0.9000\n",
      "Epoch 8/10\n",
      "1875/1875 [==============================] - 39s 21ms/step - loss: 0.2124 - accuracy: 0.9212 - val_loss: 0.2674 - val_accuracy: 0.9049\n",
      "Epoch 9/10\n",
      "1875/1875 [==============================] - 41s 22ms/step - loss: 0.2049 - accuracy: 0.9234 - val_loss: 0.2739 - val_accuracy: 0.8980\n",
      "Epoch 10/10\n",
      "1875/1875 [==============================] - 40s 21ms/step - loss: 0.1980 - accuracy: 0.9258 - val_loss: 0.2564 - val_accuracy: 0.9070\n"
     ]
    }
   ],
   "source": [
    "history = model.fit(x_train, y_train_cat, epochs=10, validation_data=(x_test, y_test_cat))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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NoAMAzaVqMKkRNCqCSWEtHZVC3+BSday5LnAYFF5+CysPIJF0T4BWxHC7ZRQXy13lJkmWiAiZIyJkDg2ViYUlUM4wDLkLCz0hpUpQ8QkvFeM5x+U8niNXTo7kPPHS8xF5eYEfdBYsWKDHH39cGRkZGjBggObPn6+zzjqrzu2fffZZPfPMM9q3b59SUlJ033336frrr2900QDQLLzBpLagUT2snKyjUtExcTVPrdWDSVB50PCOVXRGwiu3Da56H1G5ry2MlbeAU2QYhozSUrmLi2UUFZWHkRK5i4sqA0pRsdwlxZ7nRZ4xo6Tysbu4SEZRsdwlJTWeGyUnOXfNbJY5PFyW8HBP8IkIlyU8QubICM99RIQsEeEyh0fIElkejsLDvUHJEhEhU0iITPyiotXxhJYib1hx5Rz3BhVnxVi18OLMyZHKyhr1fqbQUFmjo2WJiZGl4j4mRpaYaNn79GnaD9fMGhx0li5dqtmzZ2vBggUaO3asFi1apEmTJmnr1q1KSUmpsf3ChQs1d+5cPf/88xo5cqS+++47/epXv1JMTIymTp3aJB8CQDtnGJ7gUXxcKsnx3BfnVC4dXK+OCsEECGSGYUhlZZUdkaLyIFFSUvnYG06qPK8lnLiLi2t0V4ziYs/fRS3AFBIic0iIZBhyFRR4fqB1u+XOy5M7L6/xB7ZYqgSlCM/jyMjaw1NEhCc0RYR7g5I5IkKm4GDC0gkYhiGjuLi8u5JTGV7KA4zT232pMn78uIzGhpaQkPKwEi1rdExlaKkYi6k2Fh0ts93exJ/af0yG0bD/K0eNGqVhw4Zp4cKF3rF+/fpp+vTpmjdvXo3tx4wZo7Fjx+rxxx/3js2ePVvff/+91qxZU6/3zMvLU1RUlHJzcxUZGdmQcgG0JWUlvkGlenCp83lO0wcUggnQ4gyn09PNKPLtghgldYWTmgHFKC4qDycllR2Riqlermb6RUY1puBgme12mUJDZS4PJeaQEG9AMYeEyBQaIrO9/HloxWuhMofYKx+Hlm9rD6ny2O4TJLydpPx8ufLzy+8L5C4of56XL1dBvtz5BZ7XCgrkzsvz3FdsX1DQdH82Nps3GFV2izydpPoEJXNEhMxBQU1TSwtwl5RUdlcqOiu1hZcq40ZpaaPeyxQUJEtsrCwxMbLGRJcHkxifjoslukp4iY72BOIAVN9s0KCOjsPh0Pr163Xvvff6jE+cOFFr166tdZ/S0lLZqyXDkJAQfffddyorK5PNVvNk09LSUpVW+RLkncpvJwC0LLdLKsmtDCMlVUJJcc6Jg4uz+NTe22qXQmIke7QUEi3ZowgmaDKGyyXnkSMqS09X2aFDlfeHyu+PHpXctZxDVf2327X8trvGSG2/Ea/PWD22qfV37U107Nq3qW3Id9DtcMgoKmr0b60bzGbzBAy7vTx0hHqfm0IrAkdFOLFXPg/1DSue1z3hpOpjk8XSMp9Dkslkkslul9lul7VDh0YdwzAMGUVF3vDjys+Xu6BArrw8T0AqKA9PVcNU1fBUvr3Ku2YVP+Q39r+mKSio7qAUEVl+H1FlLMJ3+/BwmWr5+fJk3KWlPuez1HVCvjOncuykUwrr+ow2W5WAElPZXYmuOV3MWh5amFrYcA0KOllZWXK5XEpISPAZT0hIUGZmZq37XHDBBXrhhRc0ffp0DRs2TOvXr9fixYtVVlamrKwsJSYm1thn3rx5evjhhxtSGoCmVHFNlHp3VCqe50iluaf23iZzeVCJ8YQVb3A52fNoz4UYgUYyyspUdvhwZXCpHmgyM096om6j37tZjtqGmc01OiDVuyC+gcS3C2Ky2306IjW6KY34ITiQmUwmmcLCZA4Lk6r9jFdfhtstd1FRtc5SfrWglOcdqwxKed4Q5S4s9BzL4ZArO1uu7OzGfya7vUqXKLzKeUoRMgUFyZWbWy285MgoKmrcm9lslee0VJkW5um8VJ0WFuPtxphCQwktLaBRixFU/w9jGEad/7Huv/9+ZWZm6owzzpBhGEpISNCNN96ov/71r7LU8RuPuXPnas6cOd7neXl5Sk5ObkypQPvmdDRyKthxyX2KP9AFRZQHkeiGBZegCLopaBZuh0PO9HQ5aoSYdJWlp8t5+HDtHZmqrFbZEhNlS0qSrXNn3/tOCTJZff9ZrTk5vJZIU32j2maU12Os1pnojXn/etZU4/1qTWv1O7YpONg7LcscGipTUBA/BLYxJrNZlvLFEGy1/BK7PgyXy7NSWF6+3AXVpuGVj/mEp7zKqXcV9xVhxSgpkbOkRDp6tGFFWK3l57OcZFpY1elhYWF8X1upBgWd+Ph4WSyWGt2bI0eO1OjyVAgJCdHixYu1aNEiHT58WImJiXruuecUERGh+Pj4WvcJDg5WcHBwQ0oDApfb7emS1LejUvV5WeGpvbclqOHdlZAYz5QxroGCFuYuLq57Wll6upz1+IHHFBTkCS0VAaazb6CxdujQotOSgPbEZLHIEhkpyymcj22UlXmCj3canm/XyFWQL6PUUdl1qRZezOHhhJYA0qCgExQUpOHDh2vFihW6+OKLveMrVqzQtGnTTrivzWZTly5dJEn//ve/NWXKFJn5rS3gOaclP1PKSZNy9lfeHy9/nHfoFLsrJk/waNA0sPLnXBMFrYiroKBGeKl67zp+/KTHMIWEeMJLlU5MUJUgY4mL41okQBtmstlkjYmRYmL8XQpagQZPXZszZ46uu+46jRgxQqNHj9Zzzz2ntLQ03XrrrZI8084OHTqkV199VZL0888/67vvvtOoUaN0/PhxPfnkk9q8ebNeeeWVpv0kQGvldkuFRzyh5fj+8jBTEWjSpJwDkrsep2zaQmsJJtEnDy7BkZKZ30CjdTMMQ+7c3DqnlZUdOlSvZXPN4eE1p5RV3Hfp7Dmhl/AOAO1Cg4POjBkzlJ2drUceeUQZGRkaOHCgPvjgA6WmpkqSMjIylJaW5t3e5XLpiSee0I4dO2Sz2XTuuedq7dq16tq1a5N9CMCvDEMqzPINMMerBpk0yXWSpSRNFimqixSTKkWnSNGp5bcUKTpZCusgWZnOibbLMAy5srM9oaWWaWVlhw7JXY8TgS3R0TVDTJXpZacy5QUAEFgafB0df+A6OvArw/Cc83J8X5XwUi3QnGxZZJNZiuxcGV68gaY81EQkSpZGrQ0CtAqG2y3n0aN1r1iWkVGvZVgt8fHlAab26WXmsLAW+DQAgNasWa6jAwSs4pw6ujHljx0FJzmASYpM8g0vFY9jUj0hh5Pz0YYZTqechw+rrI5Vy5wZGSe/BorJJGvHjrVPK+vcWbakxIC6IjcAwL8IOmgfSvJqhpeqoaY+134J7+QbXqqGmqguTC1Dm2MYhtyFhZ6ViPLyvde4cB07VnNq2eHDJ79yusUiW0JCnSuW2Tp1kqkNXfEcANC2EXQQGByF1box1U74Lz75akwK61CzIxOTWhlkWvBilIbLpdJdu1Wy+SeV7Nghk8ksc/nF3MxhYTKHh8scFup9bgkP9z422e2cbN1OGE5n5YX5Kq4xkZdXeaG+vOoX7qsYz/Ned+Kk142pymarcg2ZmlPLrAk1ryMDAIC/8C8S2oayYs/qZHWd8F+UdfJjhMRW68ZUO+E/yD9z/w3DUNmBAyr+6SeV/PiTijdvVsnWrTKKT3LeT10sFplDQ33CkMUbksKrBabKxxafEFX+ODSUa4Y0E8MwZJSWeoNJRQjxPC+QKz/PE1QKKgJLlfH8Arny8xt/Fe/qbLbyK4iHyxIRWecJ/9YOHVh6GQDQZhB00Do4S6Xcg1VO+K82vazwyMmPYY+qGWAqQk1UsmRvHQtZlB0+opLNP3mCzU+bVbJ5s1y5NafOmUNDZR8wQPb+/WWyWeUqLJS7oNAz1ajqraDAc1/xQ6/L5f3BuSmYQkNlDguVJbR6R8k3MFmqPq9tm7AwmQNo2pLhdnv+3PPyanZNqgcTb7cl3yeo6GTntNSTKTTU09WLjJAlItIbWMyREbKER/iOR0bKHF5+HxEhS0QEXUAAQEAi6KBlGEZ5iKnjhP/8jJMfIyjcE2Cqnx9T8Tgkurk/RYO5cnJUvHlLebDZrJKffpLzSM3QZrLZFNyvn0IGDpR90CCFDBqooG7dGtRNMdxuuYuK5S4sqDUMuXzGiioDUpWbq7DA81phoeT0XKTUKCqSq6hILtWja3YSJpvtBGEotMY0vJpdqMptTCEhp/TDueFweKZv5eVVXjm7SiDx3ldcUbt6oCko8HyvT5XZ7Akc4eEyR0aWd1Y8AcQ3qJSPR0bKHB4hS2SEdz+TjYUuAACojqCD5mUY0s8fS5/PkzI2nnhbW2jtK5ZVjIXESK34t87uoiKVbN3qDTTFmzerrMo1pbzMZgX37Cn7oIEKGTRI9oGDZO/d65RP0jaZzbKEh8kSfupT8AzDkOFw+HaMqgaigspAVKOzVFgoV1HFmOe+Yllho6xMrpwcuXJyTrlGmc2eKXq1nLdU0V0yXO6a56WUB5b6LHVcHyabTeaoqNqDSkSVQFJrUImUOSyUbgoAAM2AoIPmYRjSzk88ASd9g2fMbJNiutbSkSnv0oTGteogU5XhcKhkx88+nZrS3btrPbHblpqikIGDKoNNv34yh4b6oer6M5lMMgUHyxwcLMXGnvLxDKdT7iLfLpK3w1TbdLzCqh2oohpBSoYhud2esYKTLf19YuawME9AqVdQifQ8r9JRMQez2h4AAK0RQQdNyzCknSvKA84PnjFbmHT6r6Qxv5PC4v1bXyMYLpcce/f6dGpKt22r9Zoh1o4dy6eelQebgQNliYryQ9Wti8lqlSUyskmuWm8Yhozi4ro7S1Wm7sls8XZOLBHhlfcVgSY8nMUWAAAIUAQdNA3DkHat9AScQ997xmyh0shbpLF3tJmAYxiGyg4d8gSa8mBTsmVL5Yn+VZijosrPqamcgmZL6OiHqtsXk8nkWSAhNFTWDh38XQ4AAGilCDo4NYYh7V4pff4X6eA6z5g1RDr9FmnMHVJ46/5B1Hn0qCfQVExB27xZruM1r7ljCg2VvX8/nylotuRkzq0AAABopQg6aBzDkHZ/Vh5wvvOMWUOkkTd7Ojjhra+z4crLU8nmzT7BxpmZWXNDm032Pn3Kp555gk1wjx5McQIAAGhDCDpoGMOQ9qzyBJwD33rGrHZpRHnAiUjwb33l3CUlKtm6zWexAMe+fTU3NJkU1KN7Zadm8GAF9+kTUNd7AQAAaI8IOqgfw5D2fiGtmicd+MYzZrVLI34pjZ3t14BjlJWpdOdOn05N6c6dkstVY1tbly4+nRp7/wFNshwzAAAAWheCDk7MMKS9X3o6OGlrPWOWYE/AOXO2FNGpZctxu+XYt893sYDt22WUltbY1tIh3ndZ54EDZY2JadF6AQAA4B8EHdStIuDs/8rz3BIsjbjJ08GJTGz2tzcMQ86MjPJA86PnfsuWWq+bYo6MVMjAAZ6Lb5YHG2tCAosFAAAAtFMEHdS0b41nitr+NZ7nliBp+I3SmXdKkUnN9rbOY8d8OjXFmzfLlZ1dYzuT3S57v37eQBMyaJBsKSkymc3NVhsAAADaFoIOKu37ynMdnH2rPc8tQdKwGzwBJ6pzk76Vq6BAJZu3+CwWUJaeXnNDq1XBvXv5TEEL7tlTJitfXQAAANSNnxYh7V/rCTh7v/Q8twRJw64vDzhdGn1Yt8MhV1aWnFlZcmZley7EWR5sHHv3es7/qcpkUlC3bgoZNFD2gYMUMmiggvv2ldluP4UPBwAAgPaIoNOe7f+6POB84XlutknDrpPO+n2dAcddUiJnVrZc2VlyZmfLeTRLzuwsubKyPc+rPHbn55/w7W1JSbIPGuQNNvaBA2QJD2/qTwkAAIB2iKDTHqV9K33+Z2nP55Ikt9smZ/dL5OxxqVylFjk//ErObE8npnqAcRcWNuy9bDZZ4+I8t4QEn3NrrHFxTf/ZAAAAABF0ApJhGHIXFlV2XbKy5MrOlnPPj3Ju+VyuIxlyFlvkLE2Q0xEkw+GStLr8dnKmoCBZ4uNkjYuXNS7O57E1Pk6W+HhZ4z3PzZGRrHwGAACAFkfQaSM84aVQzqNHPaElq7zL4n2c7TkfJtvz2CguPsHRQqo89lxU02S31wgt3sfxceXPPQHGHB5OeAEAAECrRtDxI8Mw5M7Pr/2cl1oCTG0XxTwRkz1IVrshq6VQFrtL1hBD1tQBsgydLGtyb58AYw4LI7wAAAAgYBB0mphhGHLn5pZPGSsPMBXnuWQdrXLOS7Zc2dkyHI4GHd8cGurprFSdJlbedbHElXdgnBmybn5e5rTPPDuZLNKQq6Sz/iDFdmuGTw0AAAC0LgSdBjBcLhWtW1czwFSsNJaVJeexY1JZWYOOaw4Pr5waVhFg4uJkje/gO20sLk7mkJC6D3RovWcVtZ0fe56bLNJpV0njfi/Fdj+FTw4AAAC0LQSdBkr75c2S233S7cyRkd7Vxk4YYOLiTv06MekbpM//Iv38kee5ySwNvlIa9wcprsepHRsAAABogwg6DWCyWBQybKhMZkt5aKkeYDwn61vi4mQOCmr+gtI3lgecD8sLNEuDZ0jj7iLgAAAAoF0j6DRQ13/9y98lSBmbPAFnxwee5yazNOgKT8CJ7+nf2gAAAIBWgKDTlmT8KH3xmLT9fc9zk1kaeJl09t1SfC//1gYAAAC0IgSdtiDzJ08HpyLgyCQNukwad7fUobdfSwMAAABaI4JOa5a5WfriL9K298oHTNLASz0dnA59/FoaAAAA0JoRdFqjw1s8HZxt75YPmKSBl3g6OB37+rU0AAAAoC0g6LQmh7d6zsHZ+k75gEkaMF06+x6pYz8/FgYAAAC0LQSd1uDINk/A2fKOJMMz1n+6J+Ak9PdjYQAAAEDbRNDxpyPbywPO/1QZcKaVB5wBfi0NAAAAaMsIOv5wdIf0xV+lzW/JG3D6TZXOvlfqNNCvpQEAAACBgKDTko7+LH35V+mn/8obcPpOkc65V+o0yK+lAQAAAIGEoNMSsnaWd3D+Kxluz1jfKZ4paomD/VsbAAAAEIAIOs0pa1d5B+fNyoDTZ7Kng5N4mn9rAwAAAAIYQac5ZO+Wvnxc+nFpZcDpPUk65x4paah/awMAAADaAYJOU8reLX35t/KA4/KM9f6FZ4pa52H+rQ0AAABoRwg6TeHYHk/A2fTvyoDT6wJPB6fzcP/WBgAAALRDBJ1TcWxvecB5ozLg9DxfOmeu1IWAAwAAAPgLQacxju+rDDhup2es53me6+Akj/RraQAAAAAIOg1TmCWtfFja+HplwOkxwbOKWvLp/q0NAAAAgBdBpyEsQdLWdz0hp/u5nilqKaP8XRUAAACAagg6DWGPlKY8KUV2llLO8Hc1AAAAAOpA0GmogZf6uwIAAAAAJ2H2dwEAAAAA0NQIOgAAAAACDkEHAAAAQMAh6AAAAAAIOAQdAAAAAAGHoAMAAAAg4BB0AAAAAAScRgWdBQsWqFu3brLb7Ro+fLhWr159wu2XLFmi0047TaGhoUpMTNRNN92k7OzsRhUMAAAAACfT4KCzdOlSzZ49W/fdd582bNigs846S5MmTVJaWlqt269Zs0bXX3+9br75Zm3ZskVvvvmm1q1bp1tuueWUiwcAAACA2jQ46Dz55JO6+eabdcstt6hfv36aP3++kpOTtXDhwlq3/+abb9S1a1fNmjVL3bp105lnnqmZM2fq+++/P+XiAQAAAKA2DQo6DodD69ev18SJE33GJ06cqLVr19a6z5gxY3Tw4EF98MEHMgxDhw8f1n//+19deOGFdb5PaWmp8vLyfG4AAAAAUF8NCjpZWVlyuVxKSEjwGU9ISFBmZmat+4wZM0ZLlizRjBkzFBQUpE6dOik6Olr/+Mc/6nyfefPmKSoqyntLTk5uSJkAAAAA2rlGLUZgMpl8nhuGUWOswtatWzVr1iw98MADWr9+vT766CPt3btXt956a53Hnzt3rnJzc723AwcONKZMAAAAAO2UtSEbx8fHy2Kx1OjeHDlypEaXp8K8efM0duxY3XXXXZKkwYMHKywsTGeddZYeffRRJSYm1tgnODhYwcHBDSkNAAAAALwa1NEJCgrS8OHDtWLFCp/xFStWaMyYMbXuU1RUJLPZ920sFoskTycIAAAAAJpag6euzZkzRy+88IIWL16sbdu26c4771RaWpp3KtrcuXN1/fXXe7efOnWq3n77bS1cuFB79uzRV199pVmzZun0009XUlJS030SAAAAACjXoKlrkjRjxgxlZ2frkUceUUZGhgYOHKgPPvhAqampkqSMjAyfa+rceOONys/P1zPPPKPf//73io6O1vjx4/XYY4813acAAAAAgCpMRhuYP5aXl6eoqCjl5uYqMjLS3+UAAAAA8JP6ZoNGrboGAAAAAK0ZQQcAAABAwCHoAAAAAAg4BB0AAAAAAYegAwAAACDgEHQAAAAABByCDgAAAICAQ9ABAAAAEHAIOgAAAAACDkEHAAAAQMAh6AAAAAAIOAQdAAAAAAGHoAMAAAAg4BB0AAAAAAQcgg4AAACAgEPQAQAAABBwCDoAAAAAAg5BBwAAAEDAIegAAAAACDgEHQAAAAABh6ADAAAAIOAQdAAAAAAEHIIOAAAAgIBD0AEAAAAQcAg6AAAAAAIOQQcAAABAwCHoAAAAAAg4BB0AAAAAAYegAwAAACDgEHQAAAAABByCDgAAAICAQ9ABAAAAEHAIOgAAAAACDkEHAAAAQMAh6AAAAAAIOAQdAAAAAAGHoAMAAAAg4BB0AAAAAAQcgg4AAACAgEPQAQAAABBwCDoAAAAAAg5BBwAAAEDAIegAAAAACDgEHQAAAAABh6ADAAAAIOAQdAAAAAAEHIIOAAAAgIBD0AEAAAAQcAg6AAAAAAIOQQcAAABAwCHoAAAAAAg4BB0AAAAAAYegAwAAACDgEHQAAAAABByCDgAAAICAQ9ABAAAAEHAaFXQWLFigbt26yW63a/jw4Vq9enWd2954440ymUw1bgMGDGh00QAAAABwIg0OOkuXLtXs2bN13333acOGDTrrrLM0adIkpaWl1br9008/rYyMDO/twIEDio2N1eWXX37KxQMAAABAbUyGYRgN2WHUqFEaNmyYFi5c6B3r16+fpk+frnnz5p10/3feeUeXXHKJ9u7dq9TU1Hq9Z15enqKiopSbm6vIyMiGlAsAAAAggNQ3GzSoo+NwOLR+/XpNnDjRZ3zixIlau3ZtvY7x4osv6rzzzqt3yAEAAACAhrI2ZOOsrCy5XC4lJCT4jCckJCgzM/Ok+2dkZOjDDz/U66+/fsLtSktLVVpa6n2el5fXkDIBAAAAtHONWozAZDL5PDcMo8ZYbV5++WVFR0dr+vTpJ9xu3rx5ioqK8t6Sk5MbUyYAAACAdqpBQSc+Pl4Wi6VG9+bIkSM1ujzVGYahxYsX67rrrlNQUNAJt507d65yc3O9twMHDjSkTAAAAADtXIOCTlBQkIYPH64VK1b4jK9YsUJjxow54b5ffPGFdu3apZtvvvmk7xMcHKzIyEifGwAAAADUV4PO0ZGkOXPm6LrrrtOIESM0evRoPffcc0pLS9Ott94qydONOXTokF599VWf/V588UWNGjVKAwcObJrKAQAAAKAODQ46M2bMUHZ2th555BFlZGRo4MCB+uCDD7yrqGVkZNS4pk5ubq7eeustPf30001TNQAAAACcQIOvo+MPXEcHAAAAgNRM19EBAAAAgLaAoAMAAAAg4BB0AAAAAAQcgg4AAACAgEPQAQAAABBwCDoAAAAAAg5BBwAAAEDAIegAAAAACDgEHQAAAAABh6ADAAAAIOAQdAAAAAAEHIIOAAAAgIBD0AEAAAAQcAg6AAAAAAIOQQcAAABAwCHoAAAAAAg4BB0AAAAAAYegAwAAACDgEHQAAAAABByCDgAAAICAQ9ABAAAAEHAIOgAAAAACDkEHAAAAQMAh6AAAAAAIOAQdAAAAAAGHoAMAAAAg4BB0AAAAAAQcgg4AAACAgEPQAQAAABBwCDoAAAAAAg5BBwAAAEDAIegAAAAACDgEHQAAAAABh6ADAAAAIOAQdAAAAAAEHIIOAAAAgIBD0AEAAAAQcAg6AAAAAAIOQQcAAABAwCHoAAAAAAg4BB0AAAAAAYegAwAAACDgEHQAAAAABByCDgAAAICAQ9ABAAAAEHAIOgAAAAACDkEHAAAAQMAh6AAAAAAIOAQdAAAAAAGHoAMAAAAg4BB0AAAAAAQcgg4AAACAgEPQAQAAABBwCDoAAAAAAg5BBwAAAEDAIegAAAAACDgEHQAAAAABp1FBZ8GCBerWrZvsdruGDx+u1atXn3D70tJS3XfffUpNTVVwcLB69OihxYsXN6pgAAAAADgZa0N3WLp0qWbPnq0FCxZo7NixWrRokSZNmqStW7cqJSWl1n2uuOIKHT58WC+++KJ69uypI0eOyOl0nnLxAAAAAFAbk2EYRkN2GDVqlIYNG6aFCxd6x/r166fp06dr3rx5Nbb/6KOPdOWVV2rPnj2KjY1tVJF5eXmKiopSbm6uIiMjG3UMAAAAAG1ffbNBg6auORwOrV+/XhMnTvQZnzhxotauXVvrPu+++65GjBihv/71r+rcubN69+6tP/zhDyouLq7zfUpLS5WXl+dzAwAAAID6atDUtaysLLlcLiUkJPiMJyQkKDMzs9Z99uzZozVr1shut+t///ufsrKy9Nvf/lbHjh2r8zydefPm6eGHH25IaQAAAADg1ajFCEwmk89zwzBqjFVwu90ymUxasmSJTj/9dE2ePFlPPvmkXn755Tq7OnPnzlVubq73duDAgcaUCQAAAKCdalBHJz4+XhaLpUb35siRIzW6PBUSExPVuXNnRUVFecf69esnwzB08OBB9erVq8Y+wcHBCg4ObkhpAAAAAODVoI5OUFCQhg8frhUrVviMr1ixQmPGjKl1n7Fjxyo9PV0FBQXesZ9//llms1ldunRpRMkAAAAAcGINnro2Z84cvfDCC1q8eLG2bdumO++8U2lpabr11lsleaadXX/99d7tr776asXFxemmm27S1q1b9eWXX+quu+7SL3/5S4WEhDTdJwEAAACAcg2+js6MGTOUnZ2tRx55RBkZGRo4cKA++OADpaamSpIyMjKUlpbm3T48PFwrVqzQ7373O40YMUJxcXG64oor9OijjzbdpwAAAACAKhp8HR1/4Do6AAAAAKRmuo4OAAAAALQFBB0AAAAAAYegAwAAACDgEHQAAAAABByCDgAAAICAQ9ABAAAAEHAIOgAAAAACDkEHAAAAQMAh6AAAAAAIOAQdAAAAAAGHoAMAAAAg4BB0AAAAAAQcgg4AAACAgEPQAQAAABBwCDoAAAAAAg5BBwAAAEDAIegAAAAACDgEHQAAAAABh6ADAAAAIOAQdAAAAAAEHIIOAAAAgIBD0AEAAAAQcAg6AAAAAAIOQQcAAABAwCHoAAAAAAg4BB0AAAAAAYegAwAAACDgEHQAAAAABByCDgAAAICAQ9ABAAAAEHAIOgAAAAACDkEHAAAAQMAh6AAAAAAIOAQdAAAAAAGHoAMAAAAg4BB0AAAAAAQcgg4AAACAgEPQAQAAABBwCDoAAAAAAg5BBwAAAEDAIegAAAAACDgEHQAAAAABh6ADAAAAIOAQdAAAAAAEHIIOAAAAgIBD0AEAAAAQcAg6AAAAAAIOQQcAAABAwCHoAAAAAAg4BB0AAAAAAYegAwAAACDgEHQAAAAABByCDgAAAICAQ9ABAAAAEHAIOgAAAAACDkEHAAAAQMBpVNBZsGCBunXrJrvdruHDh2v16tV1bvv555/LZDLVuG3fvr3RRQMAAADAiTQ46CxdulSzZ8/Wfffdpw0bNuiss87SpEmTlJaWdsL9duzYoYyMDO+tV69ejS4aAAAAAE6kwUHnySef1M0336xbbrlF/fr10/z585WcnKyFCxeecL+OHTuqU6dO3pvFYml00QAAAABwIg0KOg6HQ+vXr9fEiRN9xidOnKi1a9eecN+hQ4cqMTFREyZM0KpVq064bWlpqfLy8nxuAAAAAFBfDQo6WVlZcrlcSkhI8BlPSEhQZmZmrfskJibqueee01tvvaW3335bffr00YQJE/Tll1/W+T7z5s1TVFSU95acnNyQMgEAAAC0c9bG7GQymXyeG4ZRY6xCnz591KdPH+/z0aNH68CBA/rb3/6mcePG1brP3LlzNWfOHO/zvLw8wg4AAACAemtQRyc+Pl4Wi6VG9+bIkSM1ujwncsYZZ2jnzp11vh4cHKzIyEifGwAAAADUV4OCTlBQkIYPH64VK1b4jK9YsUJjxoyp93E2bNigxMTEhrw1AAAAANRbg6euzZkzR9ddd51GjBih0aNH67nnnlNaWppuvfVWSZ5pZ4cOHdKrr74qSZo/f766du2qAQMGyOFw6F//+pfeeustvfXWW037SVpIqdOl/dlF6p0Q4e9SAAAAANShwUFnxowZys7O1iOPPKKMjAwNHDhQH3zwgVJTUyVJGRkZPtfUcTgc+sMf/qBDhw4pJCREAwYM0PLlyzV58uSm+xQt5ODxIt3yyvfKLnTo49njFBsW5O+SAAAAANTCZBiG4e8iTiYvL09RUVHKzc316/k6JWUuTfnHGu06UqBJAztpwTXD6lyEAQAAAEDTq282aPAFQ9szu82ip64YIqvZpA83Z+p/Gw75uyQAAAAAtSDoNNCgLlG6Y0IvSdKDy7boUE6xnysCAAAAUB1BpxF+c04PDU2JVn6pU3/4zya53a1+9h8AAADQrhB0GsFqMevJK4YoxGbR13uy9dLaff4uCQAAAEAVBJ1G6hYfpv+7sJ8k6bGPtmvn4Xw/VwQAAACgAkHnFFw7KkVn9+4gh9Ot2Us3yuF0+7skAAAAACLonBKTyaS/XjZY0aE2bUnP099X7vR3SQAAAABE0DllCZF2/Wn6IEnSgs93af3+436uCAAAAABBpwlcODhR04ckyW1Iv//PRhU5nP4uCQAAAGjXCDpN5OFpA5UYZde+7CL9afk2f5cDAAAAtGsEnSYSFWLT3y4/TZK05Ns0rdp+xM8VAQAAAO0XQacJje0Zr5vGdpUk3f3WjzpW6PBvQQAAAEA7RdBpYvf8oq96dgzX0fxS/b93fpJhGP4uCQAAAGh3CDpNzG6z6KkrhshqNumDnzL1zsZD/i4JAAAAaHcIOs1gUJcozZrQS5L0wLItOpRT7OeKAAAAgPaFoNNMfntODw1JjlZ+iVN/+M8mud1MYQMAAABaCkGnmVgtZj15xWkKsVn09Z5svbR2n79LAgAAANoNgk4z6t4hXP93YT9J0mMfbdfOw/l+rggAAABoHwg6zezaUSk6u3cHOZxu3fmfjXI43f4uCQAAAAh4BJ1mZjKZ9NfLBis61KbNh/L0j892+rskAAAAIOARdFpAQqRdj04fKEl6dtUurd9/3M8VAQAAAIGNoNNCpgxO0vQhSXIb0u//s1FFDqe/SwIAAAACFkGnBT08baASo+zal12kPy3f5u9yAAAAgIBF0GlBUSE2/e3y0yRJS75N06odR/xcEQAAABCYCDotbGzPeN04pqsk6e7//qjjhQ7/FgQAAAAEIIKOH9w7qa96dAjT0fxS3ffOTzIMw98lAQAAAAGFoOMHdptFT80YIqvZpA9+ytQ7Gw/5uyQAAAAgoBB0/GRwl2jNmtBLkvTAsi1Kzyn2c0UAAABA4CDo+NFvz+mhIcnRyi9x6g9vbpLbzRQ2AAAAoCkQdPzIajHryStOk91m1trd2Xp57T5/lwQAAAAEBIKOn3XvEK77JveTJP3lo+3aeTjfzxUBAAAAbR9BpxW49oxUjevdQQ6nW3f+Z6McTre/SwIAAADaNIJOK2AymfT4ZYMVHWrT5kN5+sdnO/1dEgAAANCmEXRaiYRIux6dPlCS9OyqXfoh7bifKwIAAADaLoJOKzJlcJKmDUmS25DmLN2oIofT3yUBAAAAbRJBp5V55KKB6hRp177sIv1p+TZ/lwMAAAC0SQSdViYq1Ka/XX6aJGnJt2lateOInysCAAAA2h6CTit0Zq943TimqyTp7v/+qOOFDv8WBAAAALQxBJ1W6t5JfdWjQ5iO5pfq/72zWYZh+LskAAAAoM0g6LRSdptFT80YIqvZpOU/ZWjZxnR/lwQAAAC0GQSdVmxwl2jNmtBLknT/ss1Kzyn2c0UAAABA20DQaeV+e04PDUmOVn6JU394c5PcbqawAQAAACdD0GnlrBaznrziNNltZq3dna2X1+7zd0kAAABAq0fQaQO6dwjXfZP7SZIe+2i7dh3J93NFAAAAQOtG0Gkjrj0jVeN6d1Cp063ZSzfK4XT7uyQAAACg1SLotBEmk0mPXzZYUSE2bT6Up398ttPfJQEAAACtFkGnDUmItOtPFw+UJD27apd+SDvu54oAAACA1omg08ZMGZykaUOS5DakOUs3qsjh9HdJAAAAQKtD0GmDHrlooDpF2rUvu0h//mCbv8sBAAAAWh2CThsUFWrT3y4/TZL0r2/StGrHET9XBAAAALQuBJ026sxe8bpxTFdJ0t3//VHHCx3+LQgAAABoRQg6bdi9k/qqR4cwHc0v1f97Z7MMw/B3SQAAAECrQNBpw+w2i56aMURWs0nLf8rQso3p/i4JAAAAaBUIOm3c4C7R+t34XpKk+5dtVnpOsZ8rAgAAAPyPoBMAbju3h05LjlZ+iVN3/XeT3G6msAEAAKB9I+gEAKvFrKeuOE12m1lf7crWy2v3+bskAAAAwK8aFXQWLFigbt26yW63a/jw4Vq9enW99vvqq69ktVo1ZMiQxrwtTqB7h3DdN7mfJOmxj7Zr15F8P1cEAAAA+E+Dg87SpUs1e/Zs3XfffdqwYYPOOussTZo0SWlpaSfcLzc3V9dff70mTJjQ6GJxYteekapxvTuo1OnWnUs3qczl9ndJAAAAgF80OOg8+eSTuvnmm3XLLbeoX79+mj9/vpKTk7Vw4cIT7jdz5kxdffXVGj16dKOLbQ1e2fKKlu9ZrnxH6+uYmEwmPX7ZYEWF2PTToVz9Y+VOf5cEAAAA+EWDgo7D4dD69es1ceJEn/GJEydq7dq1de730ksvaffu3XrwwQcbV2UrUeIs0bMbn9W9q+/VuKXjdOuKW/WfHf/R0aKj/i7NKyHSrkenD5QkPfv5bv2QdtzPFQEAAAAtr0FBJysrSy6XSwkJCT7jCQkJyszMrHWfnTt36t5779WSJUtktVrr9T6lpaXKy8vzubUGDrdD1/a7Vt2jusvpduqr9K/0x2/+qAlvTtC1H1yrxZsXa3/efn+XqamnJWnakCS53IbmLN2oIofT3yUBAAAALapRixGYTCaf54Zh1BiTJJfLpauvvloPP/ywevfuXe/jz5s3T1FRUd5bcnJyY8pscpFBkZo1bJaWTV+md6e/q9nDZmtw/GAZMrTp6CY9tf4pTfnfFF287GL9Y8M/tCV7iwzDP0s9P3LRQHWKtGtfdpH+/ME2v9QAAAAA+IvJaMBP4g6HQ6GhoXrzzTd18cUXe8fvuOMObdy4UV988YXP9jk5OYqJiZHFYvGOud1uGYYhi8WiTz75ROPHj6/xPqWlpSotLfU+z8vLU3JysnJzcxUZGdmgD9gSjhQd0aq0VVqZtlLrMtfJaVR2UBLDEjU+ZbzGJ4/XsIRhsprr19VqCmt2ZunaF7+VJL1800id06dji703AAAA0Bzy8vIUFRV10mzQoKAjSaNGjdLw4cO1YMEC71j//v01bdo0zZs3z2dbt9utrVu3+owtWLBAn332mf773/+qW7duCgsLa7IP0xrkluZq9aHV+iztM605tEbFzmLva9HB0Tq7y9kanzJeY5LGyG61N3s9D727RS+v3aeOEcH6ePY4xYQFNft7AgAAAM2l2YLO0qVLdd111+mf//ynRo8ereeee07PP/+8tmzZotTUVM2dO1eHDh3Sq6++Wuv+Dz30kN555x1t3LixyT9Ma1PiLNE3Gd9oZdpKfX7gc+WU5nhfC7GGaGzSWI1PGa9xXcYpKjiqWWoodrh04T9Wa8/RQl04KFHPXD201mmGAAAAQFtQ32zQ4HlUM2bMUHZ2th555BFlZGRo4MCB+uCDD5SamipJysjIOOk1ddoLu9Wuc5LP0TnJ58jpdmrDkQ36LO0zrUxbqYzCDH2a9qk+TftUVpNVIzqN8E5xSwhLOPnB6ykkyKL5M4bokgVrtfynDJ2/MUHTh3ZusuMDAAAArVGDOzr+0FY7OnUxDEPbj23XyrSVWpm2Urtydvm8Pih+kCf0pIxX96juTfKeT3+6U099+rMi7FZ9PHuckqJDmuS4AAAAQEtqtqlr/hBoQae6tLw0b6dn09FNMlT5n6RbVDeNTx6vCSkTNCB+gMymRi2UJ6fLrUv/+bU2HcjR2J5xeu2Xo2Q2M4UNAAAAbQtBp43KKs7SqgOeFdy+zfhWTnflCm4dQztqfLKn0zOi0wjZzLYGHXvP0QJN/vtqlZS59eDU/rppbLemLh8AAABoVgSdAFDgKNDqQ6u1Mm2lVh9crSJnkfe1iKAInd3lbE1ImaAxSWMUagut1zFf/XqfHli2RcFWs5bPOlM9O0Y0V/kAAABAkyPoBJhSV6m+zfhWn6V9plUHVulYyTHva8GWYI1JGqPxKeN1TpdzFG2PrvM4hmHohpfW6cufj2pQ5yi9/dsxslkaNx0OAAAAaGkEnQDmcru06egm72IGhwoOeV+zmCwanjDcu4JbYnhijf0P55Vo4lNfKre4TLPG99SciX1asnwAAACg0Qg67YRhGPr5+M/exQx2HN/h83q/2H6akDJBE1ImqEd0D+81dN7blK7fvbFBFrNJ/711tIamxPijfAAAAKBBCDrt1MH8g97Qs+HIBp8V3FIjU72LGQzuMFiz/71J725KV7f4MC2fdaZCgxp8WSUAAACgRRF0oOzibH1x8AutTFupr9O/Vpm7zPtafEi8xiaerY++i1fW0WRdd0YP/XH6QD9WCwAAAJwcQQc+CssKtebQGu8KbgVlBd7XDFewnAV9NXPENM0ceWG9V3ADAAAAWhpBB3Uqc5Xpu8zvtDJtpVYdWKWs4izva0HmIJ2RdIYmpEzQOcnnKNYe68dKAQAAAF8EHdSL23BrXcZG/W7Zqyq0bpQ5KNv7mtlk1pAOQzQhZYLGp4xXl4gufqwUAAAAIOiggTYdyNElC7+SYT2si8ZmK92xTtuObfPZpk9MH2/o6R3T27uCGwAAANBSCDposPmf/qz5n+5UpN2qj2aPk8mao88OeFZwW394vdyG27ttl/AuGp8yXhNSJui0DqfJYrb4sXIAAAC0FwQdNFiZy63L/vm1Nh3I0diecXrtl6NkNnu6NsdLjvus4FbqKvXuF2uP1bnJ52p8ynidkXiGgixB/voIAAAACHAEHTTKnqMFmvz31Sopc+vBqf1109huNbYpKivS2vS1Wpm2Ul8c/EL5jnzva6HWUJ3V5SxNSJmgszqfpfCg8JYsHwAAAAGOoINGe/XrfXpg2RYFW81aPutM9ewYUee2Ze4yfZ/5vWcFt7RVOlJ8xPua1WzVqMRRmpAyQecmn6v4kPiWKB8AAAABjKCDRjMMQ9cv/k6rd2ZpUOcovf3bMbJZzCfdz224tSVri1amrdTKtJXal7fP+5pJJg3pOERTuk/RL7r9QpFB/HcEAABAwxF0cEoyc0t0wfwvlVtcplkTemnO+b0bfIw9uXv0WdpnWrl/pTZnb/aOB5mDNCFlgqb3nK5RiaNYyAAAAAD1RtDBKXtvU7p+98YGWcwm/ffW0RqaEtPoY2UWZurjfR/rnV3vaFfOLu94x9COuqjHRZrWY5q6RnVtgqoBAAAQyAg6aBKz3tigdzelq1t8mJbPOlOhQdZTOp5hGNp6bKuW7VqmD/Z+oNzSXO9rQzoM0bSe03RB1wsUEVT3eUEAAABovwg6aBK5RWW6YP6Xyswr0XVnpOqP0wc22bEdLoc+P/C5lu1epjWH1niv02O32DUhdYKm9ZimUYmjZDad/PwgAAAAtA8EHTSZ1TuP6roXv5MkvfLL03V27w5N/h5Hi47q/T3v651d72hP7h7veKewTt6pbSmRKU3+vgAAAGhbCDpoUg8u26xXvt6vjhHB+nj2OMWENc9FQQ3D0OaszVq22zO1reo1eoZ1HKbpPadrYteJCrOFNcv7AwAAoHUj6KBJFTtcuvAfq7XnaKEuHJyoZ64aKpPJ1KzvWeoq1aq0VXpn9zv6Ov1r79S2EGuIzks5T9N7TteITiOY2gYAANCOEHTQ5DYdyNElC9fK5Tb09JVDNG1I5xZ778OFh/Xenve0bNcyn+vzJIUl6aKeF+miHhcpOSK5xeoBAACAfxB00Czmf/qz5n+6U5F2qz6+c5wSo0Ja9P0Nw9CPWT/qnV3v6KO9H6mgrMD72oiEEZrWc5ompk5UqC20ResCAABAyyDooFmUudy6bOFabTqYqzN7xuvVX54us7l5p7DVpcRZos/SPtM7u97RNxnfyJDnqxxiDdHE1Ima1nOahicMZ2obAABAACHooNnsPlqgC/++WiVlbj00tb9uHNvN3yUpszBT7+1+T8t2L9P+vP3e8S7hXbxT2zqHt9xUOwAAADQPgg6a1atf79MDy7Yo2GrW8llnqmfH1nGBT8MwtPHoRi3btUwf7ftIhWWF3tdGdRqlaT2naULKBKa2AQAAtFEEHTQrwzB0/eLvtHpnlgZ1jtLbvx0jm6V1TRErKivSyrSVWrZ7mb7N+NY7HmYL0wVdL9C0HtM0tGPzrx4HAACApkPQQbPLzC3RBfO/VG5xmWZN6KU55/f2d0l1Si9I17u739WyXct0sOCgdzwlIkXTek7T1O5TlRie6McKAQAAUB8EHbSIdzela9YbG2Qxm/TWb8ZoSHK0v0s6IcMw9MORH/TOrnf08b6PVewsliSZZNKoxFGa3nO6xqeMV4i1ZVeTAwAAQP0QdNBifvfGBr23KV3d4sO0fNaZCg2y+rukeikqK9KK/Su0bPcyrctc5x0Pt4Xrgq4XaHrP6Tqtw2lMbQMAAGhFCDpoMTlFDv1i/mpl5pXoujNS9cfpA/1dUoMdzD/oXbXtUMEh73jXyK7eqW0JYQl+rBAAAAASQQctbPXOo7ruxe8kSa/88nSd3buDnytqHLfh1vrD6/XOrne0Yv8K79Q2s8ms0YmjNa3nNJ2bfK7sVrufKwUAAGifCDpocQ8u26xXvt6vjhHB+uTOcYoODfJ3SaeksKxQn+z7RMt2L9P6w+u94xG2CE3qNknTek7ToPhBTG0DAABoQQQdtLhih0sX/mO19hwt1JTBiXrm6mH+LqnJHMg7oGW7l+nd3e8qozDDO949qrum9ZymKd2nqGNoRz9WCAAA0D4QdOAXmw7k6JKFa+VyG3r6yiGaNqSzv0tqUm7Dre8yv9OyXcv06f5PVeIqkeSZ2jY2aaym9Zymc5LPUbAl2M+VAgAABCaCDvxm/qc/a/6nOxVpt+rjO8cpMSowl2oucBTo430fa9nuZdpwZIN3PDIoUpO6TdLFPS9W/7j+TG0DAABoQgQd+E2Zy63LFq7VpoO5OrNnvF795ekymwP7h/39efu1bJdnatvhosPe8Z7RPTWtxzRN6TFF8SHxfqwQAAAgMBB04Fe7jxbowr+vVkmZWw9N7a8bx3bzd0ktwuV26dvMb7Vs1zKtTFupUlepJMlisujMzmd6prZ1OUc2i83PlQIAALRNBB343Str9+nBd7co2GrW8llnqWfHcH+X1KLyHHmeqW27lmnT0U3e8ejgaE3uNlnTek5Tv9h+TG0DAABoAIIO/M7tNnTDS99p9c4sDe4Spbd+M0Y2i9nfZfnFntw9enfXu3pv93s6UnzEO947prem9ZimC7tfqLiQOD9WCAAA0DYQdNAqZOaW6IL5Xyq3uEyzJvTSnPN7+7skv3K5Xfo642st27VMn6V9JofbIUmymqw6q8tZmtZzmsZ1HsfUNgAAgDoQdNBqvLspXbPe2CCL2aQZI5M1ZVCiRnWPkyXAFyg4mdzSXH209yMt271MP2X95B2PCY7Rhd0v1PSe09Unto8fKwQAAGh9CDpoVX7/n01664eD3ufx4cGaPKiTLhyUqJFdYwN+VbaT2Z2zW8t2LdN7e95TVnGWd7xvbF9d1OMiJUcky2wyyyST597kuTeryuMqr3u3UR2PT7BvxZjFZDnpfiaZOMcIAAC0KIIOWhW329BXu7P0/qYMfbQlU7nFZd7XEiKDNWlgoqaelqihyTHtOvQ43U6tTV+rd3a9o88PfK4yd9lJ9/E3n4DUwDB1KkGt6rZ17RMTHKMe0T3ULaqbekT3UGJYosym9nmeGAAAgYKgg1arzOXWml1ZWv5jhj7ekqn8Eqf3taQouyYPStSU05J0Wpeodt0tyCnJ0Yf7PtTKtJUqLiuW23DLLbcMw6j52HDLUOVj75hhyK06Hlfbp+rrgSrEGqKukV3VPbq7ukd1V4+oHuoW3U3JEcmymTkvCgCAtoCggzah1OnS6p+ztPynDK3YelgFpZWhp0tMiC4cnKgpg5I0sHNkuw49La0+YaohwanW453k2C7D1ehjVOx/pOiIdufs1p7cPdqXt09Ot7PWz2s1W5UakVoZgKJ7qHtUd6VGpsputbfwnz4AADgRgg7anJIyl774+aje/zFDK7cdVpHD5X0tNS5UFw5K1JTBSeqXGEHoQYM53U4dzD+o3bm7tTd3rzcA7c3dq2Jnca37mGRSl4gu6h7V3bcLFNVN4UHt67pQAAC0FgQdtGnFDpdW7Tii939M12fbj6ikrHI6VfcOYZpSPr2td0KEH6tEIHAbbmUWZmpP7h7tzvENQXmOvDr3SwhN8AlAFZ2gGHtMC1YPAED7Q9BBwCgsdWrl9iNa/mO6Vu04KoezMvT06hiuKYOTdOHgRPXsyG/Y0XQMw1B2Sbb25OzxDUG5u31WxqsuJjjGJ/xUPE4ITaATCQBAEyDoICDll5Rp5TZPp+fLn7PkcFWGnr6dIjRlsGd6W9f4MD9WiUCXW5qrvbl7tSd3j/bk7PFOhztUcKjOfcJsYT7hp0eU5zygpPAkWcyWFqweAIC2jaCDgJdbXKYVWw9r+Y/pWr0zS0535Vd5YOdIXTgoSVMGJyo5NtSPVaI9KSor0r68fd7uT0Un6ED+AbkMV637BFuCPSvBVT0PKLqHUiJSZLOwEhwAANURdNCu5BQ59PGWTL3/Y4bW7s6Wq0roOa1LlKYMTtLkwYnqHB3ixyrRXpW5yrQ/b78n+OTu1t4czxS4fbn75HA7at3HYrIoJTKlxhS4blHdFGLlewwAaL8IOmi3sgtK9fGWw3r/x3R9sydbVTKPhqVEe0LPoER1imLZYPiXy+1SekG6dufurrEYQpGzqNZ9TDIpKTzJZwGEblHd1D26uyKD+PsRABD4CDqApKP5pfpoc4be+zFD6/YdU8W33WSSRqbG6sLBiZo0qJM6RhB60HoYhqHDRYe9CyFUhKA9uXuUU5pT534dQjrUmALXLaqb4uxxLIQAAAgYzRp0FixYoMcff1wZGRkaMGCA5s+fr7POOqvWbdesWaN77rlH27dvV1FRkVJTUzVz5kzdeeedTf5hgBM5nFeiD37K0PIfM/T9/uPecZNJGtUtVlMGJ2nSwE6KCw/2Y5XAiR0rOeYTgCoWQzhSdKTOfSKDIr0XQa26GEKnsE4EIABAm9NsQWfp0qW67rrrtGDBAo0dO1aLFi3SCy+8oK1btyolJaXG9hs2bND27ds1ePBghYWFac2aNZo5c6aeeuop/frXv27SD+NyuVRWVtaQj4N2JigoSGazWek5xfrgpwy9/2OGNh7I8b5uMZs0unucpgxO1AUDOikmLMh/xQINkO/I91kJrqILdKjgkAzV/td8iDWkxjlA3aO6q0tEF1nN1hb+BAAA1E+zBZ1Ro0Zp2LBhWrhwoXesX79+mj59uubNm1evY1xyySUKCwvTa6+9Vq/tT/ZhDMNQZmamcnJy6nU8tF9ms1ndunVTUFBlgDlwrMgben46lOsdt5pNGtszXlMGJ2pi/06KCmUFLLQ9Jc4S7cvbV6MLtD9vv5yGs9Z9QqwhGtJhiEZ2GqmRnUZqQNwAVoADALQazRJ0HA6HQkND9eabb+riiy/2jt9xxx3auHGjvvjii5MeY8OGDZo0aZIeffRR3XLLLbVuU1paqtLSUp8Pk5ycXOeHycjIUE5Ojjp27KjQ0FCmYqBWbrdb6enpstlsSklJqfV7sj+7UO//6JnetjUjzztus5g0rlcHXTg4Uef3T1CEnR/60LaVuct0IP9AjQC0N3evSlwlPtsSfAAArUl9g06D5iZkZWXJ5XIpISHBZzwhIUGZmZkn3LdLly46evSonE6nHnrooTpDjiTNmzdPDz/8cL1qcrlc3pATFxdXr33QfnXo0EHp6elyOp2y2Wr+oJYaF6bbzu2p287tqd1HC/TBj55Oz47D+Vq5/YhWbj+iIKtZZ/fuoCmDE3VevwSFBTPFB22PzWzzTlWrym24tTtnt9ZlrtP3h7/Xusx1yinN0dcZX+vrjK8leYLP0I5DNbLTSI1IGKEB8QNkMxN8AACtS4M6Ounp6ercubPWrl2r0aNHe8f/9Kc/6bXXXtP27dvr3Hfv3r0qKCjQN998o3vvvVfPPPOMrrrqqlq3bUhHp6SkRHv37lXXrl0VEsK1JXBixcXF2rdvn7p16ya7vf4rre08nK/3f8zQ+z+ma/fRQu94sNWs8X07asrgJJ3bt4NCgwg9CCx1BZ+qCD4AgJbULB2d+Ph4WSyWGt2bI0eO1OjyVNetWzdJ0qBBg3T48GE99NBDdQad4OBgBQc3bOUrpquhPhr7PemVEKE7z4/Q7PN6acfhfL2/yRN69mUX6cPNmfpwc6ZCbBZN6NdRUwYn6pw+HWW3WZq4eqDlmU1m9YrppV4xvXR1v6vrDD5r09dqbfpaSQQfAEDr0KCgExQUpOHDh2vFihU+5+isWLFC06ZNq/dxDMPw6dgAbYXJZFLfTpHq2ylSv5/YW1vS87T8J0/oOXCsuLzrk6GwIIvO65+gKYOTNK53vIKthB4EhtqCz66cXZ7gk/m9vj/8PcEHANAqNHp56X/+858aPXq0nnvuOT3//PPasmWLUlNTNXfuXB06dEivvvqqJOnZZ59VSkqK+vbtK8lzXZ3Zs2frd7/7nR599NF6veeJ2lMVU9caOhXJ38455xwNGTJE8+fP93cp7UpzfV8Mw9CPB3O1vPw6PYdyir2vRQRbdf6ABE0ZnKgze3ZQkNXcZO8LtDZ1BZ+qQqwhGtZxmEZ0GqGRnUaqf1x/gg8AoN6aZeqaJM2YMUPZ2dl65JFHlJGRoYEDB+qDDz5QamqqJM8KaGlpad7t3W635s6dq71798pqtapHjx76y1/+opkzZzbiYwGtk8lk0mnJ0TotOVpzJ/XVhgM5en9Thj74KUOZeSV6+4dDevuHQ4oKsemCAQm6cHCSxvSIk81C6EFgMZvM6h3TW71jeuuaftfUGXy+Sv9KX6V/JYngAwBoHg3u6PgDHR00lZb+vrjdhtanHdf7m9L1weZMHc2vnLIZE2rTLwZ20pTBSRrVLVZWQg/agerBZ93hdcotzfXZhuADADiRZuvooOkdP35cd9xxh9577z2Vlpbq7LPP1t///nf16tVLkrR//37dfvvtWrNmjRwOh7p27arHH39ckydP1vHjx3X77bfrk08+UUFBgbp06aL/+7//00033eTnTwVJMptNGtk1ViO7xuqBqQP03d5jWv5Tuj78KVPZhQ698d0BvfHdAcWHB3lDz8iusbKYWVwDgam2js/O4zu9Cxt8f/h75Zbm0vEBAJyygAs6hmGouMzll/cOsVkatarXjTfeqJ07d+rdd99VZGSk7rnnHk2ePFlbt26VzWbTbbfdJofDoS+//FJhYWHaunWrwsPDJUn333+/tm7dqg8//FDx8fHatWuXiouLT/KO8AeL2aTRPeI0ukecHpo6QN/uPab3f0zXR5szlVXg0L++SdO/vklTx4hgTR6UqAsHJ2p4SozMhB4EMLPJrD6xfdQntk+9g0+oNVRDE4ZqZILnAqb94voRfAAANQTc1LUih1P9H/jYL3VufeSCel9HpWLq2m233abevXvrq6++0pgxYyRJ2dnZSk5O1iuvvKLLL79cgwcP1qWXXqoHH3ywxnEuuugixcfHa/HixU36WQJVa5zqWOZya+3ubC0vDz15JU7va50i7Zo8KFFndI9V/6RIdY4OYSl1tCt1BZ+qCD4A0L4wda2N2LZtm6xWq0aNGuUdi4uLU58+fbRt2zZJ0qxZs/Sb3/xGn3zyic477zxdeumlGjx4sCTpN7/5jS699FL98MMPmjhxoqZPn+4NTGgbbBazzu7dQWf37qBHpw/Sml1H9f6PGVqx5bAy80q0+Ku9WvzVXklSpN2qfomR6p8U6blPjFSvhHCWr0bAqnfH59BX+uoQHR8AQKWACzohNou2PnKB3967oepqqBmG4f3N/S233KILLrhAy5cv1yeffKJ58+bpiSee0O9+9ztNmjRJ+/fv1/Lly/Xpp59qwoQJuu222/S3v/3tlD4L/CPIatb4vgka3zdBJWUurd6ZpU+2ZGpzep52HclXXolT3+49pm/3HvPuYzWb1LNjuPonRvqEoNiwID9+EqB51BV81mWu8wafPEfeCYNP/7j+spoD7p8/AEA1ATd1ra2oz9S1V199VZdddlmNfefOnavly5frxx9/rPHaokWLdNdddykvL6/ZP0Nb1Fa/L5LkcLq160iBtmbkaVtGnram52lrRp5yi8tq3b5TpF39kyJ9AlBqbCjn/CCg1RV8qiL4AEDbxtS1NqJXr16aNm2afvWrX2nRokWKiIjQvffeq86dO2vatGmSpNmzZ2vSpEnq3bu3jh8/rs8++0z9+vWTJD3wwAMaPny4BgwYoNLSUr3//vve1xBYgqxmT3BJqvwf2jAMZeSWeEPPtgzP/f7sImXmlSgzr0SfbT/i3T40yKK+nSJ8pr717RSpkCCmviEwVO34XNv/2np3fIYlDNPITiM1MsEz1Y3gAwBtH3+TtwIvvfSS7rjjDk2ZMkUOh0Pjxo3TBx98IJvNM6fc5XLptttu08GDBxUZGalf/OIXeuqppyRJQUFBmjt3rvbt26eQkBCdddZZ+ve//+3Pj4MWZDKZlBQdoqToEJ3XP8E7nl9Sph2Z+T7dn+2Z+SpyuPRDWo5+SMvxbms2SV3jw9S/yrS3AYmR6hARzMIHaPPqG3zWHFqjNYfWSCL4AECgYOoa2pX2/H1xutzal12oLd7uT762pucqq8BR6/bx4UHerk/F1Lfu8WFc2BQBxW249fPxn32CT74j32cbgg8AtC71nbpG0EG7wvelpiP5JeWhp3L6256jBXLX8jdDkNWsPgkRPt2fvokRirSzohUCg8vt0s6cnScMPmG2MA3tOJTgA7RShmHI4XYo35GvwrJCFZQVqMBR4L13GS51Ce+irlFd1SGkA7MX2iCCDlALvi/1U+xw6efDnqlvW9M94WdbRp4KHbVfjDclNlT9EiPUPzGqPABFcM0fBIT6Bp9hHYdpaMehigiKkNVslcVkkdVs9d68z03lz81VXjdZT7iPxWSRzWyTxWyR2URHFYGtzF3mDSWFZYV1hpWK171j5eOFZYXKL8uX0+08+ZvJ07FNjUxV18iu6hrV1fM4qqu6RnZVmC2smT8tGougA9SC70vjud2G0o4VeRc8qAhA6bkltW5f9Zo/FdPfuOYP2rr6BJ/mZDaZa4Qmb3Ay1RKS6hiv2L9q4PIGqqr71ieImS2ymWw++zT0WDazTTazjV+OtGEut0uFzsJaw0hFWKkeWipCSdXAUuoqbdK6wmxhCreFe25BnntJOpB/QAcLDsptuOvct0NIh8rwE9nVG4aSwpO4NpefEXSAWvB9aXrHCx2V4ac8AO06UiBnLXPfql7zp2oAiuGaP2ijXG6X9xyfrce2yuFyqMxdJpfbJafbKafh9HnsdJc/L3/sdDvlMly1jhtq9f88Nzmr2aogc5BsFpuCzEEKsgR5QlD5c5vZ5hmzeIJR1W3q2tY7XmWbIEuQ932qj/scq/xxIE9NdBtuFTuL6wwj1bsl1ccLHZ6wUuwsbtK6QqwhCreFVwaVIN+wEmYLU0RQhOf1iteqBZpQW+gJu6BlrjIdyD+gfXn7tC9vn/bn7de+XM/jYyXH6tzParKqS0QX3y5Q+eM4exyBvQUQdIBa8H1pGaVOl+eaP+nlix5k5GpbRn6d1/xJjLL7LHrQPzFSKVzzB+2c23B7Q0/VwOQyXCpzl/mEI5fbM1ZXaKoYr+tYVbevcayq+1Z9XjW4nWD8RKGurTCbzN5gVTUcVQ1lNUJTPbf1Ga8IalWOUSPAVQmBLsN1wg5KjbBSHkyqh5emDNVB5qBaw4g3lFQNLeWPq4+H2cL8Hi7zHHnan7vfG4L25XqC0P68/Spx1T6TQZLCbeHqGtlVqVG+XaCUiBSF2kJb8BMENoIOUAu+L/5jGIbSy6/5U/WCp2nHimrdPizIor6JkT7n/vRJiOCaP0CAMAzDG3zK3GUqc5d5OmKu8sduh7dDVnFf5qpjvPxxXePe191Vjl9t3Ol2eo/hcNe+GmUgs5gsNQLICcNKtcASFuQZD7IEdofebbh1pOiI9uburdEFSi9IP2FoTAhN8AafrpGV5wMlhSXJYubftoYg6AC14PvS+uSXlGl7Zn5lAMrI047MfJU6a86bNpukbvFh6p8UVR6APB2gjhH8twTQdAzDkNNw+oSiipB0orDkDWMV41VCWdV9ax2vFtZqC3ZlrrIanTCTTD6dkdo6Jz5hxRbhDSVVtwm2cO20U1XqKtWBvAM1ukD78vYppzSnzv1sZptSIlJ8FkKomBIXExzDf5daEHSAWvB9aRucLrf2ZhX6nPezLSPv5Nf8KZ/21j8xUt245g+AAOQ23N5QZDaZFWoN5QfhNiCnJKeyA1Qegvbl7VNaXtoJO4iRQZGV4adKFyglIkV2a/v9OYagA9SC70vbdiS/pMr1fjwXPN2bVVjrNX+CrWZ1iw9TalyoUmJDlRIXppTYUKXGhiopOkRBVkIQAMC/XG6XMosyvcGnahcoozCjzv1MMikxLNEbfFIjU9Utspu6RnVVp7BOAb8UPUEHqAXfl8BT7HBpx+GKC556Fj3YlpGnojqu+SN5psAlRYd4gk9cqJJjQ5UaG1YeiEIVFcKyoQAA/yp2FistL80bfCrOB9qbt/eEy9oHW4KVEplSowvUNbKrooKjWvATNJ/6Bp3AXS8RQLsQEmTRkORoDUmO9o5VXPNnb1ah9mcXKu1YsdKOFSrtWJHSjhWppMytg8eLdfB4sdbuzq5xzKgQmzf0VHSBKp4nRoXIwmpwAIBmFmINUZ/YPuoT28dn3DAMHS897u3+7M3b610hLi0/TaWuUu08vlM7j++sccyY4Jhau0DJEckBuZAEQQdeZWVlstn4TTbaPrPZpK7xYeoaX/Oq1oZh6Gh+qdKOFWl/dpE3/FQ8zyooVW5xmX46lKufDuXW2N9mMalLTEUXyBOAkss7QymxoQoL5q9VAEDzMZlMirXHKtYeq2EJw3xec7qdyijIqPXaQIeLDut46XEdP3pcG49u9NnPbDIrKSxJqVGe8FO1C9QxtGObnQrH1DU/+uijj/Too49q8+bNslgsGj16tJ5++mn16NFDknTw4EH94Q9/0CeffKLS0lL169dPzz77rEaNGiVJevfdd/XII49o8+bNCg8P17hx4/T2229L8vxP8L///U/Tp0/3vl90dLTmz5+vG2+8Ufv27VO3bt20dOlSLViwQN98840WLlyoiy66SLfffrtWr16tY8eOqUePHvq///s/XXXVVd7juN1uPf7443r++ed14MABJSQkaObMmbrvvvs0fvx49e/fX88884x3++zsbCUlJenDDz/U+PHjW+BPtm5t+fuCllHkcHqCT7ZvADpwrEgHjhepzHXivzLjw4N8QlDFuUEpsaHqGBHMtYEAAH5RVFbkvRbQ3ry9PiGosKywzv1CrCFKiUhR16iuOr3T6bqizxUtWHXt2u/UNcOQymq/Lkezs4VKDVj5pLCwUHPmzNGgQYNUWFioBx54QBdffLE2btyooqIinX322ercubPeffddderUST/88IPcbs+Su8uXL9cll1yi++67T6+99pocDoeWL1/e4JLvuecePfHEE3rppZcUHByskpISDR8+XPfcc48iIyO1fPlyXXfdderevbs3YM2dO1fPP/+8nnrqKZ155pnKyMjQ9u3bJUm33HKLbr/9dj3xxBMKDg6WJC1ZskRJSUk699xzG1wf0NJCg6zq2ylSfTvV/IvT5TaUmVdSHoIKfUJQ2rEiHS8qU1aBQ1kFDm1Iy6mxf7DV7A1BVbtAqXGh6hITKruN6ygAAJpHqC1U/eL6qV9cP59xwzCUXZLtDT1VA9DB/IMqdhZrx/Ed2nF8hyS1iqBTX4HX0XEUSn9O8k+h/5cuBdWcKlNfR48eVceOHfXTTz9p7dq1+sMf/qB9+/YpNja2xrZjxoxR9+7d9a9//avWY9W3ozN//nzdcccdJ6zrwgsvVL9+/fS3v/1N+fn56tChg5555hndcsstNbYtLS1VUlKSFi5cqCuu8PyPMHToUE2fPl0PPvhgA/40mgcdHTSn3OIyb+ipGoL2HytUek6JXLUtD1dFp0h7jalwFecJxYUFsYQsAKBFlbnLlF6Q7g0+KREpOjfF/7+4br8dnTZk9+7duv/++/XNN98oKyvL261JS0vTxo0bNXTo0FpDjiRt3LhRv/rVr065hhEjRvg8d7lc+stf/qKlS5fq0KFDKi0tVWlpqcLCPAFu27ZtKi0t1YQJE2o9XnBwsK699lotXrxYV1xxhTZu3KhNmzbpnXfeOeVagdYuKsSmqM5RGti55qo2ZS630nOKa3SBKs4TKih1KjOvRJl5Jfpu37Ea+4cFWaoFoMopcZ1ZLhsA0AxsZptSI1OVGpmqs3W2v8tpsMALOrZQT2fFX+/dAFOnTlVycrKef/55JSUlye12a+DAgXI4HAoJCTnhvid73WQyqXqzrqysrMZ2FQGmwhNPPKGnnnpK8+fP16BBgxQWFqbZs2fL4XDU630lz/S1IUOG6ODBg1q8eLEmTJig1NTUk+4HBDKbxazUuDClxoXprF6+rxmGoeNFZeXBp9DTBSoPQAeOFSkjr0SFDpe2Z+Zre2bNJUXNJikxKqRGF6hiyeyoUBYZAQC0P4EXdEymU5o+1lKys7O1bds2LVq0SGeddZYkac2aNd7XBw8erBdeeEHHjh2rtaszePBgrVy5UjfddFOtx+/QoYMyMiovNLVz504VFZ383KXVq1dr2rRpuvbaayV5Fh7YuXOn+vXzzOfs1auXQkJCtHLlylqnrknSoEGDNGLECD3//PN6/fXX9Y9//OOk7wu0ZyaTSbFhQYoNC/JZJrtCSZlLh3KKvQskVK4WV+hdLvtQTrEO5ZxkuexqS2Ynl188leWyAQCBKPCCThsRExOjuLg4Pffcc0pMTFRaWpruvfde7+tXXXWV/vznP2v69OmaN2+eEhMTtWHDBiUlJWn06NF68MEHNWHCBPXo0UNXXnmlnE6nPvzwQ919992SpPHjx+uZZ57RGWecIbfbrXvuuadeS0f37NlTb731ltauXauYmBg9+eSTyszM9AYdu92ue+65R3fffbeCgoI0duxYHT16VFu2bNHNN9/sPU7FogShoaG6+OKLm/hPD2hf7DaLenQIV48O4TVeMwxDRwtKfUKQ57wgz/Oj+SdfLrtzdEj5VLgQpcaGKTk2RJ2jQ5UUbVcs5wYBANoogo6fmM1m/fvf/9asWbM0cOBA9enTR3//+991zjnnSJKCgoL0ySef6Pe//70mT54sp9Op/v3769lnn5UknXPOOXrzzTf1xz/+UX/5y18UGRmpcePGeY//xBNP6KabbtK4ceOUlJSkp59+WuvXrz9pXffff7/27t2rCy64QKGhofr1r3+t6dOnKzc312cbq9WqBx54QOnp6UpMTNStt97qc5yrrrpKs2fP1tVXX81J/0AzMplM6hhhV8cIu0Z0rdn9LXI4deBYse+0uPIQdPBYsRwut/ZlF2lfdu0d32CrWZ2jQ9Q5JkRJUSFKqngcbVfn6BB1irIr2MpqcQCA1ifwVl1Dq3DgwAF17dpV69at07Bhw06+Qwvh+wJUcrkNHc4r8VkdLu1YsQ4cK1J6TrGO5Jee9Bgmk9QhPNgTgLyByK6kaE8o6hIToqgQG10hAECTYdU1+EVZWZkyMjJ077336owzzmhVIQeAL4vZ5A0ko3vE1Xi91OnS4dxSHcwpUnpOidJzinXoeLHScz3nA6XnFKukzK0j+aU6kl+qjQdyan2f0CCLNwh57u0+zztF2WWzsGocAKBpEXTQpL766iude+656t27t/773//6uxwApyDYavEsXhBX+4qShmHoWKFD6Tkl3sUQ0qvcDuUUK6vAoSKHS7uOFGjXkYJaj2M2SQmRlV2gpGi7ungfe7pEkXZWjgMANAxBB03qnHPOqbGsNYDAZDKZFBcerLjwYA3qUvPaQZJnxbiM3BJPJ6hKGKoMRSVyuNzKyC1RRm6J1u8/XutxIoKt3hDkOUeoaocoRB0jgmWlKwQAqIKgAwBoNnabRd3iw9QtvvZl/91uQ9mFDp9u0MHyUJSe6wlCxwodyi91asfhfO04XPM6QpJnGl6nSHt5+LH7dIMqAlF4MP/kAUB7wt/6AAC/MZtN6hARrA4RwbVeQ0jyrBznPUcop2ZnKCOnRE634Z0+V5eoEFut5whVLJrQITxYZq4pBAABg6ADAGjVQoOs6tkxXD071ryOkORZPS6roLSyE1QlBB0qD0i5xWXe27aMvFqPY7OY1CnKrqQo305Q5yrnDoUG8c8mALQV/I0NAGjTLGaTEiLtSoi0a3hqTK3bFJQ6fTtBxyvPETqUU6zMvBKVuQwdOFasA8eKpb21v1dMqM33mkLe6wp5glB8GF0hAGgtCDoAgIAXHmxV74QI9U6IqPV1p8uzTHZlJ6hKEDrueV5Q6tTxojIdLyrT5kO1d4UsZpPiw4OUEGlXx4hgdSy/9z6PsCsh0rOAg4VABADNiqADAGj3rBaz93ydEXVsk1dSVqUT5JkWV3URhcN5JeUXYS3V4bwTX2zVbJLiw4PVMbIy/HQov+9Y5T4+PIjV5ACgkQg6bVjXrl01e/ZszZ49+6Tbmkwm/e9//9P06dObvS4ACESRdpsiE23ql1j7VbidLreyCx06nFeiI3mlOpzvuT/ivS/V4bwSZRWUym3Ie6FVqfbukCSZTFJcWHB5V8gTfjpG1uwUdYgI5qKrAFANQQcAgCZgtZi95wqdiMttKLugtDzolOhwXqlPMDpaPna0oNS70EJWQam2Zpz4/ePCgtShSvhJiCwPRVWm0HWICFaw1dKEnxoAWi+CDgAALchiNnmCR6RdUu0XWpU8gehYoaNKR8i3U3Q4v1RH80p0tKBUZS7P9YiyCx3anln7tYYqxITaKjtD3mlyVYORXR0igmW3EYgAtG0EHT9ZtGiRHnnkER04cEBmc+V0g4suukgxMTF64IEHNGfOHH3zzTcqLCxUv379NG/ePJ133nlN8v4//fST7rjjDn399dcKDQ3VpZdeqieffFLh4Z7lWz///HPdfffd2rJli2w2mwYMGKDXX39dqamp2rRpk2bPnq3vv/9eJpNJvXr10qJFizRiRF0z2wEADWWpco2hAUl1b+d2Gzpe5PBOjTuSX6qjFY99OkWlcrjc3gUV6rr4aoWoEFvldLnqCytEBiuhPCwRiAC0VgEXdAzDULGz7gvGNacQa4hMpvqtonP55Zdr1qxZWrVqlSZMmCBJOn78uD7++GO99957Kigo0OTJk/Xoo4/KbrfrlVde0dSpU7Vjxw6lpKScUp1FRUX6xS9+oTPOOEPr1q3TkSNHdMstt+j222/Xyy+/LKfTqenTp+tXv/qV3njjDTkcDn333Xfez3bNNddo6NChWrhwoSwWizZu3CibzXZKNQEAGsdsNiku3LOSW13nD0mefx9zisp8AtHhvBIdrTqFrvze4XR7rzv08+GCE75/hN3qO12uPJxVn0LHNYgAtLSA+1un2FmsUa+P8st7f3v1twq1hdZr29jYWP3iF7/Q66+/7g06b775pmJjYzVhwgRZLBaddtpp3u0fffRR/e9//9O7776r22+//ZTqXLJkiYqLi/Xqq68qLCxMkvTMM89o6tSpeuyxx2Sz2ZSbm6spU6aoR48ekqR+/fp5909LS9Ndd92lvn37SpJ69ep1SvUAAJqfyWRSTFiQYsKC1KdT7ctsS55AlFfsrBF+fKbQlYekkjK38kucyi8p0K4jJw5E4cFW7zlDVUNQh4hgxYcHKzYsSHFhQYoODVKQlYUVAJy6gAs6bck111yjX//611qwYIGCg4O1ZMkSXXnllbJYLCosLNTDDz+s999/X+np6XI6nSouLlZaWtopv++2bdt02mmneUOOJI0dO1Zut1s7duzQuHHjdOONN+qCCy7Q+eefr/POO09XXHGFEhMTJUlz5szRLbfcotdee03nnXeeLr/8cm8gAgC0bSaTSVGhNkWF2tSrjusOSZ5AlF/q1JEaq8xVdoyOlN8XOVwqKHWq4KhTe44WnrSGCLtVceWhLC4sSDGhQYoNr3wcFx6k2LBgxZaPhwVZ6j2jAkD7EXBBJ8Qaom+v/tZv790QU6dOldvt1vLlyzVy5EitXr1aTz75pCTprrvu0scff6y//e1v6tmzp0JCQnTZZZfJ4XCccp2GYdT5D0LF+EsvvaRZs2bpo48+0tKlS/X//t//04oVK3TGGWfooYce0tVXX63ly5frww8/1IMPPqh///vfuvjii0+5NgBA22AymTxLbttt6tmx7kAkSQWlTu85Q1U7QxWdouwCh44XOXSs0CG3ofIukVP7sovqVUuQ1ewJPWG133xCU3lY4oKtQOALuKBjMpnqPX3M30JCQnTJJZdoyZIl2rVrl3r37q3hw4dLklavXq0bb7zRGx4KCgq0b9++Jnnf/v3765VXXlFhYaG3q/PVV1/JbDard+/e3u2GDh2qoUOHau7cuRo9erRef/11nXHGGZKk3r17q3fv3rrzzjt11VVX6aWXXiLoAABqFR5sVXiHcPXoEH7C7dxuQ7nFZTpWHnqqBqCKx9mFDh0vLB8rLFVJmVsOp1uZeSXKzCupVz0mkxQdYvOGH99gFKzYMJtPxyguLIhFF4A2KOCCTltzzTXXaOrUqdqyZYuuvfZa73jPnj319ttva+rUqTKZTLr//vvldrub7D0ffPBB3XDDDXrooYd09OhR/e53v9N1112nhIQE7d27V88995wuuugiJSUlaceOHfr55591/fXXq7i4WHfddZcuu+wydevWTQcPHtS6det06aWXNkltAID2y2yuPI+oR4f67VPscCm7sFTHysPPCW9FDuUUlckw5F19rj5T6SQpxGbxdIfCy6fPlQejmGodo4rAFGm3yUzXCPArgo6fjR8/XrGxsdqxY4euvvpq7/hTTz2lX/7ylxozZozi4+N1zz33KC+v7qtnN0RoaKg+/vhj3XHHHRo5cqTP8tIVr2/fvl2vvPKKsrOzlZiYqNtvv10zZ86U0+lUdna2rr/+eh0+fFjx8fG65JJL9PDDDzdJbQAANERIkEVdgkLVJaZ+szmc3iW2PV2iigB0rErH6FhhqY4VlpXfO1TmMlRc5tKhnGIdyqnfyq4Ws8lzblGYrXz6XLBivJ0im2LDg33OOYphEQagyZkMwzD8XcTJ5OXlKSoqSrm5uYqM9F06s6SkRHv37lW3bt1kt5/4atQA3xcAQEMYhqGCUmf5VDnPtLns8g7R8TrG8kudjXqviGCrYqt1jGo/58gTmsKDrSzCgHbpRNmgKjo6AAAAdTCZTIqw2xRhtyk1LuzkO0gqdbp0vLDMO2Uuu7DUe15RbecfeRdhKHUqv9Sp/fVchMFmKV8QIsRziwqxKdJu9dx7n5ffh1h9nkfYrbJa6CAhsBF0AsCSJUs0c+bMWl9LTU3Vli1bWrgiAADar2CrRZ2iLOoUVb+ZA263obySMm9XqD634jKXylyGssu7SY0RHmxVpN3qE5TqDEehvuMhNpb0RutH0AkAF110kUaNqv0iqTabrYWrAQAADWE2mxQd6rlYan0XYShyOJVbXKbc4jLlFTvL78sqx0oqX8vzeV6mQodLkmfZ74JSp9Jz67daXVUV3aSoEJsifELSyTtKkSE2lvdGiyDoBICIiAhFRJz4GgYAACBwhAZZFRpkVWJUw67hJ0llLrfyS3zDUdVgVDUs5fls43nN5TaapJtUMYXOG5J8wpG18nm10GS3mekmoV4IOgAAAO2IzWL2LmzQUIZhqMjhqgxHRZUBqGZoqtJtKh8rqtZNaowgi1mRIVZvd6gyDFmrdJBq7yhF2OkmtSeNCjoLFizQ448/royMDA0YMEDz58/XWWedVeu2b7/9thYuXKiNGzeqtLRUAwYM0EMPPaQLLrjglAoHAABAyzKZTAoLtios2KokNa6blFd8onDkPGk3yeFyK6vAoayCxnWTIoKtirBbFWH3BCDPYhOekFT7eMVrnuehQZyf1FY0OOgsXbpUs2fP1oIFCzR27FgtWrRIkyZN0tatW5WSklJj+y+//FLnn3++/vznPys6OlovvfSSpk6dqm+//VZDhw5tkg8BAACA1s9mMSsuPFhx4cEN3tcwDBU6XJXhp1oIyqsx5a72blLF6nZqxLlJkucaSZ5AVC0cVQ1GITXHI6qMB1stjXpvNEyDr6MzatQoDRs2TAsXLvSO9evXT9OnT9e8efPqdYwBAwZoxowZeuCBB+q1PdfRQVPh+wIAQPtU0U3KLS5Tfomz/OYJQvklTuWVeBZuqBj3jJVV2c4pl7tpLj8ZZDV7pt7Zq3WXgm0+gSjCu03l+UwRdqvCg9v38uDNch0dh8Oh9evX69577/UZnzhxotauXVuvY7jdbuXn5ys2NrbObUpLS1VaWup9npeX15AyAQAAAB+n0k2SPB2l4jKXJwCVd5IqApA3GBX7BqMa4+XnJTmcbmUVlCqroPQk71q3sCBL5fS6KsGoaqfpRN2lsCCrzAF+vlKDgk5WVpZcLpcSEhJ8xhMSEpSZmVmvYzzxxBMqLCzUFVdcUec28+bN08MPP9yQ0tqlrl27avbs2Zo9e7a/SwEAAAhoJpPJu9pdQmTjZoW43YYKHFUDUfnjUt9AlFe9m1Rl++IyzxS8QodLhQ6XMhvZDzCbPKvfRZQv6uB7PpK11hDVOdqunh3bzkq/jVqMoPoJWIZh1OukrDfeeEMPPfSQli1bpo4dO9a53dy5czVnzhzv87y8PCUnJzemVAAAAKBVMJtN5VPWGn+dw4rlwT0ByLd7VHsXqXK7iul4ZS5DbkPlgcqpQznF9XrvCwYkaNF1Ixpde0trUNCJj4+XxWKp0b05cuRIjS5PdUuXLtXNN9+sN998U+edd94Jtw0ODlZwcOPaimgbXC6XTCaTzOb2O78UAACgoU5leXDJ06AodbrLF22o/XykurpLXePCmvjTNK8G/ZQZFBSk4cOHa8WKFT7jK1as0JgxY+rc74033tCNN96o119/XRdeeGHjKg0wixYtUufOneV2u33GL7roIt1www3avXu3pk2bpoSEBIWHh2vkyJH69NNPG/1+Tz75pAYNGqSwsDAlJyfrt7/9rQoKCny2+eqrr3T22WcrNDRUMTExuuCCC3T8+HFJnnOrHnvsMfXs2VPBwcFKSUnRn/70J0nS559/LpPJpJycHO+xNm7cKJPJpH379kmSXn75ZUVHR+v9999X//79FRwcrP3792vdunU6//zzFR8fr6ioKJ199tn64YcffOrKycnRr3/9ayUkJMhut2vgwIF6//33VVhYqMjISP33v//12f69995TWFiY8vPzG/3nBQAAEIhMJpPsNos6RtjVs2O4hqbEaFzvDpoyOElXnZ6iX4/rod9P7KOHpw3UkzOG6IUbRug/M0frwzvO0tzJ/fxdfoM0+Nfpc+bM0QsvvKDFixdr27ZtuvPOO5WWlqZbb71Vkmfa2fXXX+/d/o033tD111+vJ554QmeccYYyMzOVmZmp3NzcpvsUVRiGIXdRkV9uDVnA7vLLL1dWVpZWrVrlHTt+/Lg+/vhjXXPNNSooKNDkyZP16aefasOGDbrgggs0depUpaWlNerPxWw26+9//7s2b96sV155RZ999pnuvvtu7+sbN27UhAkTNGDAAH399ddas2aNpk6dKpfLMw907ty5euyxx3T//fdr69atev3110/axauuqKhI8+bN0wsvvKAtW7aoY8eOys/P1w033KDVq1frm2++Ua9evTR58mRvSHG73Zo0aZLWrl2rf/3rX9q6dav+8pe/yGKxKCwsTFdeeaVeeukln/d56aWXdNlllykiou3MIQUAAEDTavA5OjNmzFB2drYeeeQRZWRkaODAgfrggw+UmpoqScrIyPD5YXzRokVyOp267bbbdNttt3nHb7jhBr388sun/gmqMYqLtWPY8CY/bn30+WG9TKGh9do2NjZWv/jFL/T6669rwoQJkqQ333xTsbGxmjBhgiwWi0477TTv9o8++qj+97//6d1339Xtt9/e4NqqLljQrVs3/fGPf9RvfvMbLViwQJL017/+VSNGjPA+lzzLgEtSfn6+nn76aT3zzDO64YYbJEk9evTQmWee2aAaysrKtGDBAp/PNX78eJ9tFi1apJiYGH3xxReaMmWKPv30U3333Xfatm2bevfuLUnq3r27d/tbbrlFY8aMUXp6upKSkpSVlaX333+/RtcRAAAA7UujTpD47W9/q3379qm0tFTr16/XuHHjvK+9/PLL+vzzz73PP//8cxmGUePWHCGnrbnmmmv01ltveZfSXrJkia688kpZLBYVFhbq7rvvVv/+/RUdHa3w8HBt37690R2dVatW6fzzz1fnzp0VERGh66+/XtnZ2SosLJRU2dGpzbZt21RaWlrn6/UVFBSkwYMH+4wdOXJEt956q3r37q2oqChFRUWpoKDA+zk3btyoLl26eENOdaeffroGDBigV199VZL02muvKSUlxec7CQAAgPanUauutWamkBD1+WG93967IaZOnSq3263ly5dr5MiRWr16tZ588klJ0l133aWPP/5Yf/vb39SzZ0+FhITosssuk8PhaHBd+/fv1+TJk3Xrrbfqj3/8o2JjY7VmzRrdfPPNKisrkySFnKD2E70mybugQNWpexXHrX6c6qvz3XjjjTp69Kjmz5+v1NRUBQcHa/To0d7PebL3ljxdnWeeeUb33nuvXnrpJd100031WgUQAAAAgSvwgo7JVO/pY/4WEhKiSy65REuWLNGuXbvUu3dvDR/umXa3evVq3Xjjjbr44oslSQUFBd4T+xvq+++/l9Pp1BNPPOENJf/5z398thk8eLBWrlxZ6/WLevXqpZCQEK1cuVK33HJLjdc7dOggyTNtMSYmRpKnE1Mfq1ev1oIFCzR58mRJ0oEDB5SVleVT18GDB/Xzzz/X2dW59tprdffdd+vvf/+7tmzZ4p1eBwAAgPaLtX397JprrtHy5cu1ePFiXXvttd7xnj176u2339bGjRu1adMmXX311TVWaKuvHj16yOl06h//+If27Nmj1157Tf/85z99tpk7d67WrVun3/72t/rxxx+1fft2LVy4UFlZWbLb7brnnnt0991369VXX9Xu3bv1zTff6MUXX/TWmpycrIceekg///yzli9frieeeKJetfXs2VOvvfaatm3bpm+//VbXXHONTxfn7LPP1rhx43TppZdqxYoV2rt3rz788EN99NFH3m1iYmJ0ySWX6K677tLEiRPVpUuXRv05AQAAIHAQdPxs/Pjxio2N1Y4dO3T11Vd7x5966inFxMRozJgxmjp1qi644AINGzasUe8xZMgQPfnkk3rsscc0cOBALVmyRPPmzfPZpnfv3vrkk0+0adMmnX766Ro9erSWLVsmq9XT9Lv//vv1+9//Xg888ID69eunGTNm6MiRI5Ikm82mN954Q9u3b9dpp52mxx57TI8++mi9alu8eLGOHz+uoUOH6rrrrtOsWbNqXEz2rbfe0siRI3XVVVepf//+uvvuu72rwVW4+eab5XA49Mtf/rJRf0YAAAAILCajIWsi+0leXp6ioqKUm5uryMhIn9dKSkq0d+9edevWTXa73U8Vwt+WLFmiO+64Q+np6QoKqvsCWnxfAAAA2rYTZYOqAu4cHbQvRUVF2rt3r+bNm6eZM2eeMOQAAACg/WDqWgBYsmSJwsPDa71VXAsnUP31r3/VkCFDlJCQoLlz5/q7HAAAALQSTF0LAPn5+Tp8+HCtr9lsNu/FXMH3BQAAoK1j6lo7EhERoYiICH+XAQAAALQaTF0DAAAAEHACJug09hozaF/awExNAAAANIE2P3UtKChIZrNZ6enp6tChg4KCgmQymfxdFlohwzB09OhRmUwm2Ww2f5cDAACAZtTmg47ZbFa3bt2UkZGh9PR0f5eDVs5kMqlLly6yWCz+LgUAAADNqM0HHcnT1UlJSZHT6ZTL5fJ3OWjFbDYbIQcAAKAdCIigI8k7HYkpSQAAAAACZjECAAAAAKhA0AEAAAAQcAg6AAAAAAJOmzhHp+LaJ3l5eX6uBAAAAIA/VWSCk10fsU0Enfz8fElScnKynysBAAAA0Brk5+crKiqqztdNRhu4VLzb7VZ6eroiIiL8fjHQvLw8JScn68CBA4qMjPRrLWgf+M6hJfF9Q0vjO4eWxPctMBiGofz8fCUlJclsrvtMnDbR0TGbzerSpYu/y/ARGRnJ/yBoUXzn0JL4vqGl8Z1DS+L71vadqJNTgcUIAAAAAAQcgg4AAACAgEPQaaDg4GA9+OCDCg4O9ncpaCf4zqEl8X1DS+M7h5bE9619aROLEQAAAABAQ9DRAQAAABBwCDoAAAAAAg5BBwAAAEDAIegAAAAACDgEnQZasGCBunXrJrvdruHDh2v16tX+LgkBaN68eRo5cqQiIiLUsWNHTZ8+XTt27PB3WWgn5s2bJ5PJpNmzZ/u7FASwQ4cO6dprr1VcXJxCQ0M1ZMgQrV+/3t9lIUA5nU79v//3/9StWzeFhISoe/fueuSRR+R2u/1dGpoRQacBli5dqtmzZ+u+++7Thg0bdNZZZ2nSpElKS0vzd2kIMF988YVuu+02ffPNN1qxYoWcTqcmTpyowsJCf5eGALdu3To999xzGjx4sL9LQQA7fvy4xo4dK5vNpg8//FBbt27VE088oejoaH+XhgD12GOP6Z///KeeeeYZbdu2TX/961/1+OOP6x//+Ie/S0MzYnnpBhg1apSGDRumhQsXesf69eun6dOna968eX6sDIHu6NGj6tixo7744guNGzfO3+UgQBUUFGjYsGFasGCBHn30UQ0ZMkTz58/3d1kIQPfee6+++uorZkWgxUyZMkUJCQl68cUXvWOXXnqpQkND9dprr/mxMjQnOjr15HA4tH79ek2cONFnfOLEiVq7dq2fqkJ7kZubK0mKjY31cyUIZLfddpsuvPBCnXfeef4uBQHu3Xff1YgRI3T55ZerY8eOGjp0qJ5//nl/l4UAduaZZ2rlypX6+eefJUmbNm3SmjVrNHnyZD9XhuZk9XcBbUVWVpZcLpcSEhJ8xhMSEpSZmemnqtAeGIahOXPm6Mwzz9TAgQP9XQ4C1L///W+tX79e33//vb9LQTuwZ88eLVy4UHPmzNH//d//6bvvvtOsWbMUHBys66+/3t/lIQDdc889ys3NVd++fWWxWORyufSnP/1JV111lb9LQzMi6DSQyWTyeW4YRo0xoCndfvvt+vHHH7VmzRp/l4IAdeDAAd1xxx365JNPZLfb/V0O2gG3260RI0boz3/+syRp6NCh2rJlixYuXEjQQbNYunSp/vWvf+n111/XgAEDtHHjRs2ePVtJSUm64YYb/F0emsn/b+eOQVKLoziO/+iCECIOuSRROGo66ZItgbNrKBJEEAjVoBDUUFsGDrlEw13c3CqMNsHBMQiFNptqCe4aCA7R24KQBwX6Lpz3/cBd/tNvvD8O51B0figSichxnInpjed5E1MeYFoODg50d3enXq+npaUlv+PAqMfHR3mep3Q6/fX28fGhXq+ny8tLjcdjOY7jY0JYs7i4qEQi8e0tHo/r+vrap0Sw7vDwUEdHRyoUCpKkVCqll5cXnZ+fU3QMY0fnhwKBgNLptDqdzrf3TqejbDbrUypY9fn5qf39fd3c3Kjb7SoWi/kdCYblcjk9PT1pMBh8fZlMRqVSSYPBgJKDqVtfX584mT8cDrWysuJTIlg3Go00N/f9t9dxHM5LG8dE5xeq1aq2traUyWS0trYm13X1+vqqcrnsdzQYs7e3p1arpXa7rVAo9DVJDIfDmp+f9zkdrAmFQhP7X8FgUAsLC+yFYSYqlYqy2axqtZo2Nzf18PAg13Xluq7f0WBUPp/X2dmZlpeXtbq6qn6/r4uLC+3s7PgdDTPEeelfurq6Ur1e19vbm5LJpBqNBud+MXV/2/tqNpva3t7+t2HwX9rY2OC8NGbq/v5ex8fHen5+ViwWU7Va1e7urt+xYNT7+7tOTk50e3srz/MUjUZVLBZ1enqqQCDgdzzMCEUHAAAAgDns6AAAAAAwh6IDAAAAwByKDgAAAABzKDoAAAAAzKHoAAAAADCHogMAAADAHIoOAAAAAHMoOgAAAADMoegAAAAAMIeiAwAAAMAcig4AAAAAcyg6AAAAAMz5AzNbG2pnCBtVAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1000x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.DataFrame(history.history).plot(figsize=(10,7))\n",
    "plt.title(\"Metrics Graph\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "313/313 [==============================] - 2s 7ms/step - loss: 0.2564 - accuracy: 0.9070\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[0.2564399540424347, 0.9070000052452087]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.evaluate(x_test, y_test_cat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "313/313 [==============================] - 3s 8ms/step\n"
     ]
    }
   ],
   "source": [
    "predictions = model.predict(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "predictions = tf.argmax(predictions, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_test = tf.argmax(y_test_cat, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_test = tf.Variable(y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.86      0.84      0.85      1000\n",
      "           1       0.99      0.98      0.99      1000\n",
      "           2       0.84      0.87      0.86      1000\n",
      "           3       0.92      0.91      0.92      1000\n",
      "           4       0.86      0.82      0.84      1000\n",
      "           5       0.99      0.97      0.98      1000\n",
      "           6       0.73      0.77      0.75      1000\n",
      "           7       0.94      0.97      0.96      1000\n",
      "           8       0.98      0.98      0.98      1000\n",
      "           9       0.97      0.96      0.96      1000\n",
      "\n",
      "    accuracy                           0.91     10000\n",
      "   macro avg       0.91      0.91      0.91     10000\n",
      "weighted avg       0.91      0.91      0.91     10000\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test, predictions, zero_division=0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cm = confusion_matrix(y_test, predictions)\n",
    "sns.heatmap(cm, cmap='crest', annot=True, fmt=\".0f\", xticklabels=class_names, yticklabels=class_names)\n",
    "plt.title(\"Confusion Matrix\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1/1 [==============================] - 0s 29ms/step\n",
      "1/1 [==============================] - 0s 33ms/step\n",
      "1/1 [==============================] - 0s 30ms/step\n",
      "1/1 [==============================] - 0s 29ms/step\n",
      "1/1 [==============================] - 0s 28ms/step\n",
      "1/1 [==============================] - 0s 30ms/step\n",
      "1/1 [==============================] - 0s 30ms/step\n",
      "1/1 [==============================] - 0s 31ms/step\n",
      "1/1 [==============================] - 0s 35ms/step\n",
      "1/1 [==============================] - 0s 36ms/step\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x800 with 10 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import random\n",
    "\n",
    "images = []\n",
    "labels = []\n",
    "random_indices = random.sample(range(len(x_test)), 10)\n",
    "for idx in random_indices:\n",
    "    images.append(x_test[idx])\n",
    "    labels.append(y_test_cat[idx])\n",
    "images = np.array(images)\n",
    "labels = np.array(labels)\n",
    "\n",
    "fig = plt.figure(figsize=(20, 8))\n",
    "rows = 2\n",
    "cols = 5\n",
    "x = 1\n",
    "for image, label in zip(images, labels):\n",
    "    fig.add_subplot(rows, cols, x)\n",
    "    prediction = model.predict(tf.expand_dims(image, axis=0))\n",
    "    prediction = class_names[tf.argmax(prediction.flatten())]\n",
    "    label = class_names[tf.argmax(label)]\n",
    "    plt.title(f\"Label: {label}, Prediction: {prediction}\")\n",
    "    plt.imshow(image/255.)\n",
    "    plt.axis(\"off\")\n",
    "    x += 1"
   ]
  }
 ],
 "metadata": {
  "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": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}