{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a7ae430c",
   "metadata": {},
   "source": [
    "Import potrzebnych bibliotek"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a5484976",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import tensorflow as tf\n",
    "from tensorflow import keras\n",
    "from keras import models\n",
    "from keras import layers\n",
    "from keras import Sequential"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eeedbd8c",
   "metadata": {},
   "source": [
    "Wczytanie danych z podziałem na zbiór treningowy i testowy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3733a35b",
   "metadata": {},
   "outputs": [],
   "source": [
    "(train_img, train_lbl), (test_img, test_lbl) = tf.keras.datasets.fashion_mnist.load_data()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1328c855",
   "metadata": {},
   "source": [
    "Eksploracja danych i ich rozkładu"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9ce9d79f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(60000, 28, 28)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_img.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "54910f89",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=uint8)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.unique(train_lbl)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "36fdeb26",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10000, 28, 28)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_img.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d902f5aa",
   "metadata": {},
   "source": [
    "Wyświetlenie obrazu"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ea7d3b84",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x1dcb5010400>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.imshow(train_img[44])\n",
    "plt.colorbar()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "27cb82de",
   "metadata": {},
   "source": [
    "Stworzenie listy klas ubrań"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "76919fdd",
   "metadata": {},
   "outputs": [],
   "source": [
    "class_names = [\"T-shirt/top\", \"Trouser\", \"Pullover\", \"Dress\", \"Coat\", \"Sandal\", \"Shirt\", \"Sneaker\", \"Bag\", \"Ankle boot\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a25cb6d",
   "metadata": {},
   "source": [
    "Przeskalowanie danych"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b6e52752",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_img = train_img / 255.0\n",
    "test_img = test_img / 255.0"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73bdfe0f",
   "metadata": {},
   "source": [
    "Sprawdzenie poprawności formatu obrazów i nazw klas pod każdym z nich"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b365e759",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 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.subplot(5, 5, i+1)\n",
    "    plt.xticks([])\n",
    "    plt.yticks([])\n",
    "    plt.grid(False)\n",
    "    plt.imshow(train_img[i], cmap = plt.cm.binary)\n",
    "    plt.xlabel(class_names[train_lbl[i]])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d12da314",
   "metadata": {},
   "source": [
    "Konfigurowanie modelu i jego warstw"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "61aec95a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " conv2d (Conv2D)             (None, 26, 26, 32)        320       \n",
      "                                                                 \n",
      " max_pooling2d (MaxPooling2D  (None, 13, 13, 32)       0         \n",
      " )                                                               \n",
      "                                                                 \n",
      " conv2d_1 (Conv2D)           (None, 11, 11, 64)        18496     \n",
      "                                                                 \n",
      " max_pooling2d_1 (MaxPooling  (None, 5, 5, 64)         0         \n",
      " 2D)                                                             \n",
      "                                                                 \n",
      " flatten (Flatten)           (None, 1600)              0         \n",
      "                                                                 \n",
      " dense (Dense)               (None, 10)                16010     \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 34,826\n",
      "Trainable params: 34,826\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model = Sequential()\n",
    "model.add(layers.Conv2D(filters = 32, kernel_size = (3, 3), activation='relu', input_shape=(28,28,1)))\n",
    "model.add(layers.MaxPooling2D((2,2)))\n",
    "model.add(layers.Conv2D(64, (3, 3), activation='relu'))\n",
    "model.add(layers.MaxPooling2D((2,2)))\n",
    "model.add(layers.Flatten())\n",
    "model.add(layers.Dense(10, activation='softmax'))\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e3875fd6",
   "metadata": {},
   "source": [
    "Kompilacja modelu - wybór optymalizatora, funkcji straty oraz metryki"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "ebbd2320",
   "metadata": {},
   "outputs": [],
   "source": [
    "model.compile(optimizer = 'adam', loss = 'sparse_categorical_crossentropy', metrics = ['accuracy'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73f60e97",
   "metadata": {},
   "source": [
    "Trenowanie modelu przez wybraną liczbę epok danymi ze zbiorów treningowych"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "02dfd8e0",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "1875/1875 [==============================] - 38s 20ms/step - loss: 0.4751 - accuracy: 0.8297\n",
      "Epoch 2/10\n",
      "1875/1875 [==============================] - 37s 20ms/step - loss: 0.3326 - accuracy: 0.8805\n",
      "Epoch 3/10\n",
      "1875/1875 [==============================] - 36s 19ms/step - loss: 0.2896 - accuracy: 0.8935\n",
      "Epoch 4/10\n",
      "1875/1875 [==============================] - 36s 19ms/step - loss: 0.2622 - accuracy: 0.9050\n",
      "Epoch 5/10\n",
      "1875/1875 [==============================] - 39s 21ms/step - loss: 0.2389 - accuracy: 0.9129\n",
      "Epoch 6/10\n",
      "1875/1875 [==============================] - 38s 20ms/step - loss: 0.2232 - accuracy: 0.9182\n",
      "Epoch 7/10\n",
      "1875/1875 [==============================] - 38s 20ms/step - loss: 0.2078 - accuracy: 0.9226\n",
      "Epoch 8/10\n",
      "1875/1875 [==============================] - 37s 20ms/step - loss: 0.1969 - accuracy: 0.9273\n",
      "Epoch 9/10\n",
      "1875/1875 [==============================] - 39s 21ms/step - loss: 0.1869 - accuracy: 0.9319\n",
      "Epoch 10/10\n",
      "1875/1875 [==============================] - 39s 21ms/step - loss: 0.1759 - accuracy: 0.9363\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x1dcb85e8520>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(train_img, train_lbl, epochs = 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "b98c27d4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1/1 [==============================] - 0s 71ms/step\n"
     ]
    },
    {
     "data": {
      "image/png": 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86Xd7yFKtj+99neu4oKXXIz54LUJLhMN4GFTR8us+6SFXat26ddm0hmA9++yzWd8NN9xQdVnQPuk+5MeHnnP8uNJzl5dp131v06ZNWZ+G9O69995Z36hRo1L7j3/8Y9ZXKTVer5Cbtspf41Lt+sHHF91Wfl1RdH2g/JguOq/pNdSMGTOyvrFjx0ZEw9ecdHRF5fCR8/23KD2n1mt7P1Yqr2ioF3+VUUuoXOdF5OHWERHXXXddREQsX7680b/liRUAAAAAlMSNFQAAAACU1KRn+du2bataFVBDjvzt7xs3bkztt99+O+vT8D9/3KZvMK880q544YUXUvuss87K+o455pjU1pAKD4vSsJyicJr99tsvm9bHzP7mZf19gwcPrtrXEm+KbqvOP//81P7Tn/6U9bV0GJOGgu6M1XaKQv/cxz/+8ap9Gh5QFM6moQL+3UWVe1599dXU9rCkfv36pbaHeKxcubLqslTCoooqeDVFp06dUiii77caouihwzrGebirjmNTpkypOk8PcyT8r2OYO3duamu1t6JQsN69e2d9eix5OKkeH3ocReTVWotCfPRzEREvv/xyo8vY0fi56pOf/GSjn/N1V2vY0+uvv55N6zWBh2D5NUg1eu0TEfHiiy9GRH2q76Jj8vOjTheF7HtocWVfi4h49NFHs75Pf/rTqd0ewzQ1NDoi4ktf+lJE5Pc2iidWAAAAAFASN1YAAAAAUBI3VgAAAABQUpNyrNavXx/33ntvRDSMDx4+fHhqe3yw5rZ4/PFxxx2X2q+99lrWp7lanh91+OGHp/Z/+2//LevTMqkaY+6x4hqP7rHpGkvq362x8F4mXfNK/Ldqn+eT9ejRI9o6XQ8ef37zzTentr8Z/pJLLkntX/ziFy20dI2rNa/Kt4fmFLWHbdPSnn/++dQeN25cai9dujT7XPfu3VN7zz33zPqKyjPr8VeUf+ivOmjNkvcbN26Mxx9/PCIiFi5cmPXdd999qe0x67rMAwYMyPp0zLv66quzvgsuuKDcAqNN0LGkkp9UoecILZVedH4oejXHsmXLsmnNU9ZjMyLP+fWywZrTc+yxx2Z9P/rRjxr8fXuyevXq1PbcI82PPO2007I+LY9eeZVDRMNc0lpf+bFixYps2nPglJ57fczT75s4cWLW9+1vfzsiGu5PaHsqecZ+vVkPPi7ouOPXvjqtOaAR+TW55q9H5PvvZz/72axPx6GW1txS7152Xs/jkyZNyvr8tzueWAEAAABASdxYAQAAAEBJTQoF3LJlS8yZMyci8nCgiIiTTz45tYvKsPpjx1WrVqW2l3HWtyv7o8SiR9sa8nDPPfektpeO1HCHvn37Vv3uIv5IUMMCvBylhgTtyLfWX3vttald9KjXQye1TKaHO2goVFPesn333Xen9kc/+tGa/sYf9S5ZsiS1PVRs5MiRqT19+vSsTx/9jh49uqbv7kj8WCwq6ftP//RPqV0Jh4vI304eUVyKXfmxqPtMUdiAH28ebtiSNm/enMa/YcOGZX1jxoxJ7fPOOy/rO/vss1t+4bBDaSidh5ToPjp//vysT89VeiwNHDiw6nd5id958+al9uzZs7O+U089tep8PJxV6W/o06dP1uff0Vp8bNdzqL/iRccTTQ2IyEP6isLvfvOb32TTn/nMZ1Lbw92VXv9oyKBPa/qE83OcvrKhaN/wsbOyrVoivAz19dvf/jYi8lDVMjZt2pRe56GpGhH5dZ9fr40YMSK1/ZVBp59+emrrtVVT+Dm8WrpGUWheER8fdX0WHe9F8/cQ/soyU24dAAAAAFoIN1YAAAAAUBI3VgAAAABQUpPLrVdylrRMekTDUunKy5EqjaPUHJ6IPM/J4y013vqll17K+kaNGpXaF110UWp7eVMt67xgwYKsT8vievlnzQ/x36Yx8x7XrH/ncaa9e/eOetq8eXPMnDkzIiI+//nPZ3233npranuOTGvTvCqNab/44ouzz33/+99P7eOPPz7rO+WUU2r6riOPPLI5i9gmaRx/p06dmjUPz1MsyrG64oorUvv3v/99av/93/999jl9DYPnWmqcsscm6zHrtKyzx2O3Zrn1gQMHxg033NBq34eWofuT74eaO+ox95qL4Pud7uteDl2PK8+5Ofroo1Nbjx3NG/Vl9u/W6QkTJlT9bn9Fivb5KyX0fOvrqLJe/JxcD/pah4g8d9HHEx33il6r4ePa9kolV3gepW4T/T7/bl2uvffeO+vz6Wp83RblVSktFx/xwfVJrbmv2/Pmm2/Ggw8+GBENS1CjnEpuU1Ny1Ivsueeecdhhh0VExL/927/VZZ71MGvWrGx6/PjxjX6u1pwq1xqvx6mMDdXyTXliBQAAAAAlcWMFAAAAACU1KRRw69atKSThkEMOyfr0Mb2X4tawPX+cr6VovYSplkX1kqn6ON/DiLQ0qYYxPPHEE9nndDn9sf+QIUNS2x/La+iFhwHoZ708rIYNNjd8q1bLly+P66+/PiIi7r///qyv1vCporL5Tkta9uzZs+a/UyeccEJqezn6q666qlnznDp1amofeuihWV9rluquhYcJ6f7iYaV6rHiYhx43To+NpjjnnHNSW9ep0+OmSK2vM4jI98Oifbe55VnRsS1evDib1nHf9xk9dorGh6LXVHgZYu3TUsYR+bh5+OGHV/1cPfjv0ZAjXw/+qhBVOfdrmfcyNmzYEJMnT46I/BwQkR/7ReNaEX2lS0Tx2KNlzotCzBctWpTavu6KQqqL6L7g4aRFNMXAz5uVULBp06Y1a5lc586dmzR2o3af/vSnIyLi5z//eV3m16lTp2YfM9XotcbKlSuzPi9JXqvKdWpExFe/+tXmLZjw0OVaw2+bonJtUe06nisPAAAAACiJGysAAAAAKIkbKwAAAAAoqUk5Vl26dImhQ4dGRMN8KI1j9zhfjRf2vnXr1qW2lwrVXB2NU4/I45rnz5+f9VWWMSIv4a7/HpHHNHvuhuZweflLXS6Nb/bf4PGX2lev8qfVDBo0KG688caIaH5J6qbkgTU3r0odfPDBqf2zn/0s69O8CI//1zLCp59+etZ32mmnpbb/Hp2P9+2I/Cvfx/W48eNNcw90P46I6Nu3b9Xv0FzFfv36Vf2cl2LXuPqxY8dW/bvm0m3h44Dml3n+psZTE/uPxniuq+Yd+Niu477nPOqY7a/n0GPJj1Xdt4844oisr+g1Jc3hZdo1v8jPvZrDWbSO9tlnn6yvch7172qu3XffPeVmFpWa9nFB86E8J6ko76i5ORf6fYMGDar6OV2X+jcR+T6lJfQj8muVotwYz33236fGjRsXERGvvvpq1c80xbp16+LPf/5zRLTMeQBtm+6Xzc2p8vLqOj7qa3Yq+26FllH32gYnn3xyavt41RIqr4HQXEvFEysAAAAAKIkbKwAAAAAoqUmhgO+8804sXbo0IiJeeeWVrE9LxXoIhT66Xr9+fdanj829bKmXWFf62NzDuDQs8YADDkhtD9vT0A4PhdCwIv89Gi7i310UPqdhARoCGdH8x6rVbN68OebMmRMR+dvrt0cfyzal5Gtz6TbWEI0vfOEL2eeef/751G7K7ynSGr+vKfr06ZNNa6iIhyZqCJyG9GyPhiwVPTKvNazOj2d9RO/Hgm7r7t27Z30arurbRfu8xKuGDnl4bVPWCzouPQdE5GOch9/qGO3HgO6XlTLWFf37909tL/Ovx4GHs+kxP3v27NT2cEIdC7x8uIbnFIX7+XL5KxyU/lb/u0q59eeee67q3zdFly5d4sADD9zu5zysrigETvuKQqMbW5Zq9PpBt6OPV3p94KHLui/69Y5eJ/lYptcnHgZVpHJdUa+y2/369YtrrrmmLvMCIiImTpzYaLstq9zv+KuMKnhiBQAAAAAlcWMFAAAAACVxYwUAAAAAJTUpx6pHjx5x0UUXRUQeDx6Rl2ceNmxY1qelST0uuqiUssYce+yzftZjlTWuXOPRPW65KDZd46S9T3M+PHZZ87F8ubQsdkuXhFyxYkVcf/31ERFx22231fx3RXlHuj08X01/q8fu6/bw7ei5NtXUK6+qPam15LuX09ft5HlORdtXcxh8v9Z5an5Xt27dss9p7oEfz0XbuuiVALr/eFl//Y565RGgY/H8Wc3l9HOCjvV+/Okx4OcEzTX0XCAdK31ZdKzU/dxLcet+XilNXqHHdNErPorm6XloRZYvXx4RDX9LS/Pl1/LLzeXnMc0n8/O3nrt0+/t6qHW5PHet6BUsteYD69gcETFt2rSIaPiKkuZauHBhXHrppRERcdNNN9Vlnvir733vexHxwfGF+tDjql7XCJXxslqeJ0+sAAAAAKAkbqwAAAAAoKQmhQLutttu6RGYlm2OiOjdu3dqa8hbRMS8efNSW8ukR+SP6Tx0SPkjPH0E54/jtByphnN4KJKGAfh3a58/stc+X66iR43+21tSly5d4uCDD46IiMceeyzrO+GEE1J7yZIlWd/AgQOrzlPDTIpCt4pK1taDh9pouIuHwuiy+HZUHkJx4403praHUVx++eURUZ9QmE2bNqVS8h5CoqFHHpbi4ba1KjrGat1uenx5eI4eb76ddP6+7nR/8nnqdvPwrBkzZqS2vvIBqNDjKOKD8KiIhmPy8OHDW3RZPNxLjxFdTj8+tM9Ltuvx4mNc0StL9DhesGBB1rdixYrUfvrpp7O+//iP/2iw7GVVxreiMboeoX+uqGS7v2ZFQ0iLwqaLwqGLwrT1+zxVQJez8sqbxubjKRpHHHFEREQ89NBDUQ+77757CkX15ffjDE3zjW98IyIi7rjjjh26HK39yp2WVnRNruOxh2BqCpM7/vjjIyIfExRPrAAAAACgJG6sAAAAAKAkbqwAAAAAoKQm5Vh17do1xo0bFxERU6dOzfrWrVuX2ocddljWN3To0NT28sw7q6LS7/XQt2/f+PrXvx4REc8880zWN3/+/NT2XB2N3/72t7+d9Wksv5ajj8hzlLwk9uuvv57ae+21V9an5fAPPPDAqp/TEsOeZ6P7lMd563w0pyAiYvHixal91FFHZX2f+9znUrtabH9Rnlmt9thjj5QL57kTy5YtS+1XXnkl69Pt9sADD2R9evz5Mr766qupffTRR2d9L7zwQmqPGDEi6/uv//qv1K7E7Uc0zM3QnBUdEyLy7Va0nTy3QddLJba5QvdX3X/0+1u7LDTalv333z+b1th5z4G5//77U9vzk3Sc8fwi3Z99bNdXkaxcuTLr03xd3c+Lcn88D0lzXfy40nLuPm5qfoDmQft3+Fj/j//4jxER8Yc//KHqMjZV5ft0XUXkeZnNzfcoev2Hb2MdLzXPLCLfVzQPxfOhdLxpSr6xLpdvf82x3bBhQ9an51svm3/FFVdERP22Vd++fePKK6+MiDxXOyLi4osvTm09t0bk6+Evf/lLXZYFLaPoONNzup+ndT/0Y0frG3g+e58+fZqzmHWh191FOVWuUoug2nU7T6wAAAAAoCRurAAAAACgpGaXWz/rrLOyvjfeeCO1n3322axPHxmOHDky69PH5v5IXR8teilELfeub733+Wifh0X5W9er9XlZUQ2TKArZ8PLuulz1Dv1znTp1So/fTzrppKxPQ04efvjhrE/Dw26++eaWW0BExF/3JQ97rNDwCQ9nKqKP2n0/07BMfySvYTFe8rxa2XovV63hUh56pPPwkCU9xjxcuFq4VEReYt2/rzLPomO0KbQ0vhszZkxdvmNnVQlD9VcbtIT+/ftX7ZszZ05qewichuZ6CKyGz+i5MCLfZ/240tCt/fbbL7U9bFmPYz+mNUTNjysNIfMQQj0ePXxb15G/gqMSuvzUU09FvRWNcx4Cp2HNY8eOrfp3Red5H0/0HO3bQLexhu0VrdemKAot1+/wMG3d/r4dW5JfV+i0p4p885vfTO0f/OAHWd+UKVNSe8KECVmfTnvI+6c//enU9nSHE088MbXvvPPO1K4WLh7RcHvr+bEo/NaPR91P/Bzr183tjY5R2nZFYXXVSpS3J9t7tQBPrAAAAACgJG6sAAAAAKAkbqwAAAAAoKT6JB9EnmvxkY98pOrnPE5a49g9xlXjWD3OW/MwPJdJFfW1No1335E0JnvixIk1/53mB3g+C+pPY/V79+5d9XOnnXZazfPUGHzPaZw0aVJqe9z4gAEDav6O1lSUL1PJg/AcyZZQLffKeYx/S7x+Qsvmby8WHDnNzSjiZcE158ZzfvU49jyajpBv0Fp8vCrKqyoqM6/8mkO3T9GY6zk3rclfEdAW+ba59957q35WX7ni45VeV3o+r4795513XtX5X3rppcULCzTR9q4peGIFAAAAACVxYwUAAAAAJXVqSqhIp06d3oiIhS23OIiIwdu2beu1/Y8VY1u1itLbiu3UKjim2g+2VfvBtmo/2FbtB9uq/Wh0WzXpxgoAAAAA0BChgAAAAABQEjdWAAAAAFASN1YAAAAAUBI3VgAAAABQEjdWAAAAAFASN1YAAAAAUBI3VgAAAABQEjdWAAAAAFASN1YAAAAAUBI3VgAAAABQEjdWAAAAAFASN1YAAAAAUBI3VgAAAABQEjdWAAAAAFASN1YAAAAAUBI3VgAAAABQEjdWAAAAAFASN1YAAAAAUBI3VgAAAABQEjdWAAAAAFASN1YAAAAAUBI3VgAAAABQEjdWAAAAAFBS56Z8uGfPntuGDBnSQouCiIgFCxbEqlWrOpWdD9uq5dVjW/Xo0WPboEGD6rVIaMSiRYti9erVHFPtAONf+8G2aj/YVu0H26r9qLatmnRjNWTIkJgyZUr9lgoNjBs3ri7zYVu1vHpsq0GDBsVDDz1Uh6VBNaecckpd5sMx1fIY/9oPtlX7wbZqP9hW7Ue1bdWkGytgR1m2bFlq9+3bdwcuCbZs2ZLac+bMyfp69OiR2l27ds36unXrltpbt27N+jp16tRoGwDaspUrV2bTvXv33kFLAqAtIMcKAAAAAErixgoAAAAASuLGCgAAAABKIscK7cK2bduq9q1fvz61NY8HTaPr2POcVq1aldoPPvhgas+cOTP73NFHH53aAwcOzPq6d+/eaDsiYp999ml0OSIi3n///ap9upy77JL/P1HRPgMATbF58+bUnjFjRmp36dIl+xw5VsDOjSdWAAAAAFASN1YAAAAAUNJOFQp4ww03ZNNf/vKXU3vhwoVZn4YfDRs2rGUXbCdSFMpVpF+/flX7NPzv7bffzvp222231O7ceafa3ZtMS6D7unrllVdS+5FHHkntiRMnZp+78MILU3vy5MlZ3wMPPJDahx9+eNanYYN9+vTJ+jTEz/eX9957L7XffffdrK/yWUICAZQ1ffr01NZ3D37qU5/aAUuD5tAQzoiG5yHsWEXpCK353WW/nydWAAAAAFASN1YAAAAAUBI3VgAAAABQUodPOtGY2vHjx2d9y5cvT+0BAwZkfbvuumtq33333Vlf3759U3vcuHF1WU7kFi1alE0PGjSopr/bc889a/6Od955J7V33333mv9u48aNEZHnJHUEmleluWkReUn7Sy+9NLVPOeWUqvM79dRTq05PmTIl63v00UdTW/OmIiIOOeSQqn2zZs1KbT1mIyJGjRoVEQ3z7gCgqe67777U1pxszwltaVu2bMmmly5dmtrkgzc0bdq01Pa8X71e0Lz6iIiDDjqoRZcLf9VWXpdTz5wunlgBAAAAQEncWAEAAABASR0+FHDdunWpPWHChKxPH6HfcsstWd/HPvax1P7oRz9a8/etXbs2tT00ad999636d6tWrYqIhqFOHU3R41YN2Vq2bFnWp6GAq1evzvq6d+9e0/xdU8L/1N577x0ReRnwjkD317lz52Z9a9asSe2LLrqo9Hd5CK1OP//881nfc889l9peLveAAw5I7SFDhmR9lX2mudu5o6lnOVmgo3vjjTey6SeeeCK1i0KgW5qOxRENxz3krrvuutTef//9s75nn302tffZZ5+s7/HHH0/tSy65pIWWDrWG/9Vail2vwSM+uF6LaJji0FI61pUhAAAAAOwA3FgBAAAAQEncWAEAAABASR0yx+qf//mfU/u4445LbS+nqXGa5557btb3ve99L7WPPfbYrO+oo45Kbc9bKIp3rpTpjsjjPiMievbsGRF5yeudzQsvvJDaHgureVU9evSoOg+Pi9f13JRS7EUq+4aW62+PfN/V/L5bb7016yvKD6y3MWPGFE43VZcuXUr9fUfhx0bv3r1T20s4t/Q6u+uuu7Lpc845p0W/D2iq3/72t9m0nptPO+20Vl6aD+jrXiLy43rOnDlZn+eV7yxuvvnm1H7sscdS21+5o6/9OProo7M+vea44YYbsj7Nsatcu1UMHDgwtX3M7dq1a2p7Pn3lemLz5s2BhrQsu79CRY8Jz6PbEXhiBQAAAAAlcWMFAAAAACV1yLizj3zkI6mtj349vGyvvfZKbX3MGBHxrW99K7X98fqLL76Y2v6oVx8fH3LIIVnfgQcemNp33HFH1nfVVVfFzkjD0fQxuYdKatn8N998M+vTcuu9evVq1nL4o+WisMH/+I//iIiGZW/bGy8Xr6GxWt4+IuILX/hCqywT6uvGG29M7X/6p3+q+rnWDpck9A9tXWWcrzjrrLNSW8fHd955J/uch1irljjONm3alNojR46s+/zbo5kzZ6a2vpLDLVmyJLUXLVqU9Y0YMSK1/Xyopdg9TF73By8l3q9fv9S+8sors77bbrstIjrea1zck08+mU3rPqvXcp5qsXXr1tT20vj6eh4/xnSeraVjb0EAAAAAaAXcWAEAAABASdxYAQAAAEBJHTLHatKkSantJdaVlmUsKtF4xBFHFE4rzbl6/vnns76//OUvqa0l23dmWtZbc948LlpLkO6+++5Z37vvvpvaHieteXUa3xyRx0YX5VT97ne/y6YrZarnzZtX9W/aCs2b8mnv09yAv/3bv23ZBUOrKMqrAlDdrFmzsulPf/rTqa3nDh9H/fyk3nrrrdTeddddsz49V3mf0lyTiIi1a9em9uDBg6v+XUfmeW16vaCluL2UuV47+HbTbfXss89mfboNPK+tf//+qf36669nfVrC3/O6BwwY0OhydDT+CoAFCxaktu73vh40z15z4yLy7eF/t2HDhtT2/Hz9bGX9V+j1aFPxxAoAAAAASuLGCgAAAABK6pChgEofLW7ZsiXrq0fpU59njx49UltDEiMiPvzhD6d2Ry+pWSsN1dxvv/1S28uUaoillznXEL/Zs2dnfUOGDKnap4+PPRRQHztrmfyIiDFjxkRExPTp06Ot8xAJXd8ewqJlYvXxfETDx+QA2gY9potCyNA0HqqlJZ712sHLrRdZvHhxanvYnp6P/Ls1ZMlDAfUct7Pyc9mqVatSW9fdHnvskX1OQwP9FS/66hYNt4zIj7MZM2ZkfU8//XRq6ytkIvIQtv/+3/977Iz8mkTXux5Xfm2t13l+PaLHle8LPXv2TG29xozIx04NC43I00o8hPDwww+PIlzdAwAAAEBJ3FgBAAAAQEncWAEAAABASR0ix2ru3LnZtObLaJysK4pN11KbnTvnq0ljOD1XSnOBtHxqRET37t2rLsvOasWKFal9yCGHpLZvD81dGzFiRNY3fPjw1H7ttdeq/l1RmVqNw42IuOmmm1L78ssvz/oqcdPtMU9O45t9+fX1ACtXrsz6TjjhhJZdMADN0tJ5VT4WVHKKmpJb1F7MnDkztd97772sr1pehed0FNHSz57Xq/k+noeiY7Xn+/irSXZGjz76aDatr0IZNGhQavuxMnDgwNT2nDfNyfZtrPuGn0eLjke9Pix6xUtHVpQDpbw0vv6dl1QvygHXccqPac2B82Ou8lqdiIZl8yuv4PF8/4r2d2UIAAAAAG0MN1YAAAAAUFKHCAXUUDCnj/A2bdqU9eljQC3XGBGxbNmy1D733HOzPg1f88eaWs7TH1euXr06tTVEraPxR6pFoRL7779/avfp0ye1vdysPrL3dbd8+fLU9jLtReEq+lhYw0Ij8vCBF154IeurhAj4o+q2yLeFhrV6qKo+kq+UlEf78/3vfz+1v/71r+/AJUFHoCExER+EWfnY0hHoayY8RElLQetvb8p60POY01B1P29pqXdPTUDD9dW3b9/U1vOcpnhE5KkiHtY1bdq01Pb0Aw3/27hxY9Xl0tC/iIh/+Zd/Se1777036/vHf/zHqvNp77QkvZc81+2j129e/r5ovy96dZLuG3ocReQl3X3f0OvRY489Nuvba6+9IqJ6OCdPrAAAAACgJG6sAAAAAKAkbqwAAAAAoKQOEaz761//OpvWWFWNofU43EqcZETDWEnte/fdd7M+zQtav3591qe5Op6Do7lBv/rVr7K+z372s9GeaZx5UU6Vl7vUfDXt87h1jaHVuNiIPDbWY2g1FtpjdPX7NKcuIuJrX/taamtcdETEcccdFxENS7yW5eXgddr79Hd5uVed9m2h68DXx5w5c1L76KOPrnWx0ca01byqq6++OrWvueaaHbgkKOPAAw+MiOK8hvbqD3/4Q2p77ra+DkSvJXyM1esFz2PV6xE/F9Zatr0jrveyvvGNb2TTut49V0fpeV/z4yPyPC3P+dbrQ8/P1nO192nuspb27+iqvarALVy4MLW9RoFuA7926devX2r79bpO+7WjbnPPqXzppZdSe9SoUVlfZZocKwAAAABoIdxYAQAAAEBJ7SYU8PHHH8+m9a3Yf/7zn7M+DQXUR8L+WF7DzTS8z6f9TefKHwXqY2d/fKxlOT/1qU9VnWd7VGsYw6xZs7Lp008/PbX1rfRe+lLL5vtj4H333Te1fXvoo1/fjvrIvnv37lmfhnr4PE866aSIiPj5z38e9VDZD30d6v7qfR7+pzT8QMsHR+Thi17uVY+xCy64YDtLjbbq4IMPTm0dJ3c0wv+wI3jJaw0/L7om+MlPflK1T8P8PYRs1113Te2icD/v03Hb51lt/hER8+fPT+2hQ4dW/buORs9XWs47IuLII49s9G88xWDVqlWp7WXANRTQX9Wzbt261Nbrloi8TLe/GkavGa666qpGl7E1FKUZ6P5V63Vdvej3+XfrNbmXuK+8AiKi4bWcXr/5b9VrdE/d0XDPpuKJFQAAAACUxI0VAAAAAJS0w0MB9fHbL3/5y6xPK4T4o/Hvf//7qd3cN8DrY0END4jIK5J4tZAiL774Ymr740r9DVodJuKDR83+qLKj8ep7uk50nXtFGH0jt1d20c9qZbuIiEGDBqW2v/Vet7lXknn11VdT+8wzz8z6Km9k91DP5qo8evcQD10mrz6p4R8e7jV58uTUfvjhh7O+lStXpravD/3NaD88ZKK542FruuKKK7LpH/7whztoSdCWVQu/i8jHRw+N1rF9yZIlWZ+GZ3kVWR3rvTKqHmdamc/P2RrS58eifraoWt3cuXOz6QMOOCC1PTTdz5UdiZ7r9XowIuLEE09M7dGjR2d9em7T1AFfdxq2p2GBERFr1qxJ7eXLl2d9lcqYEXm1SF/ORYsWZX2LFy9O7R1Z3bGoqnBr0/Wu14N+faX7uR4PEfk29u2o1zxeGVy3v4eC6nW/b0e9rmwMT6wAAAAAoCRurAAAAACgJG6sAAAAAKCkZudY/fjHP86mp0+fntpvvvlm1te1a9fU9rhSfaPx0qVLsz6NQf7whz+c9X3nO9+paTm1TLe+nTkiz2nxZdZ8E4+THjt2bGprSc6IiCOOOCK1PSbcc65UZR3t6HjXljB16tSqfUcddVRqP/HEE6mtb6iPyHOsdH+KyOPWK/lPFbq/+TbWeFudf0ReCtdL8V977bURkcdgN9fy5ctTvuBDDz2U9ekx5XllGlPs+6AeNx//+Mezvp/97GflFhit5plnnkltf1XAGWeckdrtIafKnXzyyTt6EdBGbNiwIR555JGIaJj3qflQRaXRvTSyntt79+6d9XkuhTr33HNT23MXtWy75mb5NY1+rqhctedYaU6JXwfo93lOl79+pK3z5dfrvsp+UHH//fentufKfehDH0ptv1449dRTU/vOO+9MbT9X6rrzMt16Dej5z5pH59c3Ok99FYx//z333JP1HXTQQbEz8Gs0XUd6TPj1uuYdFpVi9+Ndp1evXp316bSfY/W49uuv7el4V/EAAAAA0Mq4sQIAAACAkpr0DHn9+vVx7733RkTEggULsj59LO+P8LQ0ovfpG62vvPLKrM9DsJSWVCwqh67f56WnNexg5MiRWZ9PV6NvfI7Iy3B6ifj29si+iJeD1RKj/rZxDWv4t3/7t6xPQzwPPvjg1PbwJg2v8MeyWopcwwMi8u0/ZcqUrE/DRL20Z9Fj4Ep5cw/1bI41a9bE7bffHhEN95eLLrootT10SkNWPDQSre+LX/xianvIim7XAQMGZH0/+MEPqs7zmGOOqdPSlfOnP/0pmz7vvPNKz/Pss88uPY+O4LXXXkttDZEaPnx4zfPQkOYNGzZkfT4Wt0UbN25MYeB6HEXkIVheKvutt95KbQ8v02PO/05Dgzw8X0PAG1vOCj0feRi5hhp6KXQPZ1TVQg0j8tAzvWaKyNeRl5NuyVLsM2fOzKb1GsBLXuu0b6tHH300tdetW5f1DR48OLX1+iAiv57yEEIdX775zW+m9o033ph9TsP9fN3ptrrsssuyPr3+nTVrVtanIYUedqrb0Zf5n//5n6M90+swX5d6La/pHxERd9xxR2rrtZafI7Ssvb8a5umnn05tf3WSjoGTJk3K+nQbe0l9vW7V7RbxwfVitdcj8cQKAAAAAErixgoAAAAASuLGCgAAAABKalLSz8aNG+Pxxx+PiIgf/ehHWZ/GRno8osZeej6I5ihpeemIiIkTJ1ZdFs2r8ljV/v37p7bGqhfNryn0t2pOVUQec+mlHYtyrIryyZrjvffeS+XAPW5c4/B12ziPz9a4b/87jVX10qcaA/73f//3WZ+W/x40aFDV79Z5evz2ypUrU9t/63PPPVd1nsOGDUtt3zaac+Vl1SulPotK6dZq1KhRaRnrMT+0jkpeXMVPf/rTHbQkzafHjZeoVfXIqULjdAyaMWNGal911VXZ5zRPwHOKddw8/vjj672ILa5r167pNSVeZlzHYS95rdOek6t5LkV5Rn6totNeDn3o0KGprTkk7777btVl9ld86Bjv363nV78eKLq+0t/X0jlWr776aspj9u2hy+znU11+L0Hep0+f1PZcZ80n81w2zbG7+eabs76zzjorta+55prU/tznPpd9To85v3bQ3/fKK69kfZpjfuihh2Z9mtOneXMR+XpoagnvetJrGs/t1ummlPbX7eO/W/PQDj/88Kzv/PPPT+3bbrsttTWPPCKve3DCCSdkfePHj0/t0aNHZ306Xvqxo+OG3jdEFF+PVa53q32GJ1YAAAAAUBI3VgAAAABQUpNCAfv37x/XXntt4zMqeESoj379UdzYsWNT2x8t18pLUU+YMCG1tbSjl/rWsshFjzz1cXFEXvZTy4FG5GEBHp6gJbyb+1trtXbt2vjjH/8YEQ0fjerjdi2FH5GHDvjb7JU/Ntey5h4a8cILL6T23/3d32V9Gtan5dC1BGtEHiYxbty4rE8fGftjbQ3H9OXS3+dhmxqS4m9kr3y/hlKVQQhg+7Bp06aYOnVqRET8wz/8ww5emg94qJ6XR6+mKPwPrU9DZL773e/uwCVpXXvssUfV15votYOfc/Raouh1GUXhcBpOFtEw3KwaLens6Q16LeHXRRpe6NcHGk7v1yP6ag+fp15L+PVVvXXu3LnquFF0ztQQRd9WWmLdwy81lcND8nUb+HbTV+t86UtfSm3fh/QawEu96/WCv15Iw/h8+2ufX3Povui/tSVU9jEPSdXpRYsWZX26HX0ZdT/0Pl2XHpKq15m/+c1vsr7PfOYzqX3BBRc02q4X3/d0Of06TKf91TqVPj+GK3hiBQAAAAAlcWMFAAAAACVxYwUAAAAAJTUpx6oemptb5DGbSsuHR0Q8+eSTqX3FFVek9le+8pXsc5qL5WVeR40aldqnnXZazcupsd07Mofh/fffT+vFc6U0Rnvx4sVZn5Y33W+//bI+zUPyWFX9rMcxa7z1008/nfUde+yxqX3GGWc02t4eXZZp06ZlfUUx57rN/XP6ezy+tpIL8dBDD9W8jGj/unbtmuWEthWeU3XJJZek9r//+7+n9tVXX5197pRTTkltz1NduHBhag8ZMqQei1mocgx7bklzbd26NTZu3BgRzc9l8HOOjo0ej19rbs6O5L+nqGR4rbm29dCpU6eUX6Tnz4hI2zCi4bWDbtem5Bbpb/V8Jc1z0hyeiDxPZODAgam9dOnS7HN6vvPrCl3nmjfsPHdDl9PXg+aJtXS+rubD+f6k50lfJ7rMuo592l9fo9dQevxFRPTt2ze1v/zlL2d9P/zhD1P7Jz/5SWr//ve/zz6n1z/z58/P+nTf0xLqEREDBgxIbc/h0+sRHzt1f1i2bFm0pDfffDMmT54cEQ3Xq76+wfPhdH/yY0C3o5eL1+3vufs6PmpOVUTEHXfckdqTJk1q9G+aYvny5dn02rVrU9uXWbeV78/6W30MrJRw92vdCp5YAQAAAEBJ3FgBAAAAQEmtHgrYFFqK2x+ba8iAl9jWx+j6SHhnsscee6THv15KXMPcvFSo9vmjUX0064+Wdft4aKY+svcQh8ceeyy19c3t/jl9bO5lUYtK8up+4qEEWnLU9y99ZOzhKfUKVwJagob/qWuuuabmebRG+J+qhNp46FRzbd68OebOnRsR+Ss3msJDfIrKdrcmL51cFLKifPl1XfvYqGE9vk08LKqst99+O1555ZWIqB5y0xgd6z3EpyjlQH+rf19RqWn9Oz1v+jJqOJ6v86LX0lSbhy9nUcnoauWf66Vbt25x+umnR0TEXXfdVfVzQ4cOzaZ1XWqInevVq1c2XXTe13WioW0REV/84hdTW19joNeUPk+9TomIGDRoUGrrNUZEceipbnP/Pbrt/Lq1EnbnYbnNtW3btnQc+z6j4X5+naehmfoanYj8+PDrIL129DHD17vSVJuXX345tf3Y1OtPv87TY9P3hf79+6e2h6Hqb3jjjTeyPg2D9GvA119/PSKqbyueWAEAAABASdxYAQAAAEBJ3FgBAAAAQEltOseqKL5atUQ5WI1B9flrXGZTcgI0bt3ja+ttl112SXHgWhrWl8PzoXSde7l1jQ8vKjHq8frr169v9HMR+bqsxK1GNIyZ17j+YcOGZX26DTwWWn+r5wZoPLrH5GvcsZaejoi47777IiL/XQDajnXr1qUyvv5ahAsuuCC1vSxwe+BjXHPpeN6UV4NU8lKaUuK8yNatW9P5tpJrVaE5KoccckjWp8tflAPj5yMd6z3nSXMm/Bynf6d5Qp5/oflRvo70nOM5KrVeS/g8dT6eX1Jve+65Z3oVzbhx47K+X/3qV6ntJa91Pft1hS6/v9pE17n/nW4r3/66P+s1juc86bWR598UvV6h2ndF5NtAS31H5Nc/r732WtZXeVWMXyM119q1a+POO++MiIa5d5/73OdS++ijj8769NpnzZo1WZ/mpPlyrly5MrU9d1+3se+/1crt+zoveuWA5sh73pP+9qI8Wb/O1zxjH0MqdQt8n6ngiRUAAAAAlMSNFQAAAACU1CqhgFoedsaMGVlfUVnXolAtDRXTMt0ReaiYlvlsSrncovDC5pYEbunwP7Vx48Z44oknIiLi0UcfzfpOOumk1D7zzDOzPn3U62VRtWy79xWVINfHpRpiGZFvu6JtqvP30Avlj7z1cbX/nYY9zp49O+vTR9lPPvlk1ld587yHrQARDfeXCRMm7KAl2Xl17tw5hf3ce++9Wd/dd9+d2ueee27Wp2Wad2azZs1K7f/1v/5X1jdz5syIiFiwYEFdvmvXXXdN52kPrdFz7cMPP5z1aRinh2Ppud5DinSeHgqo55lqYT4RDUuxV+NloZWHLBWd14q+u9ZlqYf3338/nfv9t11++eVV/+6Pf/xjaldC3ir0msNDAYvCTYtCCHXf0GvHorBN30+0vLenJmjomV9X6nWeXydpOONHPvKRrK9Sxr5eob5DhgyJX//61xER8YlPfCLrO++881L75JNPzvq+/OUvp/aYMWOyvj59+tRl2Wrh607Lofu+p+kafq+g13J+zOn1oZed19Lv8+bNy/oq147+CoAKnlgBAAAAQEncWAEAAABASdxYAQAAAEBJrZJjpTGj5Bu0jp49e8ZnPvOZiIi46aabsj4ti+rxzppb9vGPfzzr69evX2p7qXEtYzpnzpysryjmWGOeNWbf89hWrFhRtc9jY6vN30uAqilTpmTTWl5T8w0iIr7yla9ERMSDDz5YdX7YeTVljNPcPi8FvGjRotQ+6KCDsj49ppqb89mRde/ePS688MKIiOjfv3/W9+c//zm1b7/99qzvt7/9bWprHkVExKBBg1Lbt5Xm43i+h077qxu0RLGWNvYcAs01aUoJb83/8PFP+/zvdEz1fONJkyY1+PsyunbtGuPHj4+IPI83Is+B8GXUcsheFlpzKbwEueb5Fp0TauV5G7ovFJVU91yQIro96rXem2O33XarKc/Gc5L+5m/+JrXPPvvsrG/x4sWp7dcOeu2or2OJyHPLfB/V41PztX17eI6dqrXEun9O99l67F9lVJbttttuy/5dr2n+v//v/8v69Pzl21Hz0n0M1Gst/zsdo/waUK+1dHt4Ppy+Lse3Y1GOv46lnr+m+42/zmH06NGp7blmc+fOjYiGOf0VnJEBAAAAoCRurAAAAACgpFYJBUTr23333VOoxLXXXpv16aP3X/ziF1nfT3/609T+4Q9/mPXpG8w9/EHDbfxxvoZirFq1KuvTsAJ9pN69e/fsc/pY2EMhqj2OjchDL7zcvc5Tw0oiPih9GhHxzW9+M+urvB38uuuuq/q9tXr//ffT6wj8cba/aR4dz8EHH1y1z48B1K5z585p/Z1//vlZXyWULSJi8uTJWd8f/vCH1H7uueeyPn1ViL82QsPzikps+xikoSm6vT0Msei1ITrG+VioY6r/nU5riE9ExKGHHpraxx57bNZXCUt95JFHoh50W/k+ryHnHvKq69x/t4YNedn0ohLezVFUlr1eYXs7MvyvOWotHR+Rj4FF42F7saPD/2pReWVMRMR//dd/Vf2cH+Pz589Pbb9e0WPVQzP1ePTQ3Grl5X2s1OPMjzkNq/XlKgqV1vloOfeIPCzRX2kwceLEiIj43e9+1+iy88QKAAAAAErixgoAAAAASuLGCgAAAABKIsdqJzRw4MDU9vwrnV63bl3WN2/evNT2Eucat+5xrFqa1Et0erztzqhaqVBf/9W0di5WrcvVVtQ7pwLtW7du3VL7vPPOy/p02sumL1++PLXXrl2b9el46OWXNVfAxz/NKWpKXkpb0JRy4c2l20rbznOQispok7sK1Obkk0+uOu15pjrOaT5+RHE+pOYveV5Va2pOfl+1MZAnVgAAAABQEjdWAAAAAFBSp6JS1Q0+3KnTGxGxcLsfRBmDt23b1mv7HyvGtmoVpbcV26lVcEy1H2yr9oNt1X6wrdoPtlX70ei2atKNFQAAAACgIUIBAQAAAKAkbqwAAAAAoCRurAAAAACgJG6sAAAAAKAkbqwAAAAAoCRurAAAAACgJG6sAAAAAKAkbqwAAAAAoCRurAAAAACgJG6sAAAAAKAkbqwAAAAAoCRurAAAAACgJG6sAAAAAKAkbqwAAAAAoCRurAAAAACgJG6sAAAAAKAkbqwAAAAAoCRurAAAAACgJG6sAAAAAKAkbqwAAAAAoCRurAAAAACgJG6sAAAAAKCkzk35cM+ePbcNGTKkhRYFERELFiyIVatWdSo7H7ZVy6vHtmI7tTyOqfajXtuqc+fO27p06VKPRUIVW7Zsiffee4/jqh1gDGw/2FbtR7Vt1aQbqyFDhsSUKVPqt1RoYNy4cXWZD9uq5dVjW7GdWh7HVPtRr23VpUuXGDlyZF3mhcbNmjWrLvPhuGp5jIHtB9uq/ai2rZp0Y9Xebdy4MZt+6623Urtr165Z3z777NMqywS0Z8uXL8+m995779TesGFD1te3b99WWSagLdm2bVtq77rrrlU/984776T21q1bs75vfetbqT1//vys7/e//31qd+qU/+epPrXT5fDva8oy+3cg95//+Z+pfe6559b8d7rOWcct4913382md9nlg2yYomMTrc+31W677baDlqTpyLECAAAAgJK4sQIAAACAkrixAgAAAICSOnyOlSbYPvTQQ1nfQQcdlNqDBw/O+tasWZPaBxxwQNa3xx571HMRgTbvvffeS+1nn302tRcsWJB97rXXXkvts88+O+vbvHlzanfv3j3r69atWz0WE2jT/Nyxfv361N5rr71S+6mnnqp5nhMnTkztO++8M+ubPn16auvxF5HnWHn+gk57vk9lLCAP6K9uu+22bPqCCy6o+tlVq1alds+ePbM+1mfL0GNsxYoVWZ9eA2LH0HxSrYPgOdr9+/dvtWUqiydWAAAAAFASN1YAAAAAUFKHDAV8/fXXU/svf/lLausj4YiIU045JbWXLFmS9b399tupPW/evKxv0KBBqT18+PByC4tEHwlrGVTseMuWLUvtpUuXprYfG2vXrk3tN954I+u77777Unvs2LFZ35577pnaJ5xwQrmFRaPuuOOObPr888/fQUuy8/IQWD1emhL+p8aPH99oOyI/j11yySVV+/bdd9+sT0MWO3fOLxMq0/V6j1Vb5SXv9Zw0e/bs1B41alTVeegrXSLy8L/HHnss6zvxxBObtZzKwz1333330vNsq/z1AUrDyB599NHU7tGjR/a5lggFLFqunTXcs+hVAuvWrUttDV0mFBAAAAAAdmLcWAEAAABASdxYAQAAAEBJHTLHau7cuamtuVOaUxUR0bdv39Tedddds76uXbumtpfIfeGFF1J7ypQpWd+wYcNS2+Pply9fntqef1KJH/WY7J3Jk08+mdrk2bQtGquv+VAaHx0RcdJJJ6X2mDFjsj7NJ9lnn32yvsWLF6f29ddfn/VpDoN+t3+/51BW4un933cmX/va11Jbtw1aj+YoeS6T53zUmx4vt99+e9XP/eu//ms2rcv1D//wD43+zbhx40ouXdtWlOer49WkSZOqfu65557LprU0/siRI7O+Bx98sKZ5Os2Vmzp1ata3s5xHPa9J8+z1NTtHHnlk9rkJEybUfVmK8qg0b8jPgR2Z5iv6tbYeI7feemtqf/WrX235BRPvvvtuNv3++++ndpcuXbK+7eXK8cQKAAAAAErixgoAAAAASuoQoYCVN8FXTJ48ObX1MfkRRxyRfa5bt26p7W+e11KyHtKnITVvvvlm1rdo0aLUvvfee7M+fav0hz/84axvyJAhEdHwkWNH99prr6W2l7fFjrNy5cpsetOmTak9c+bM1B44cGD2udGjR6e2hstERBx44IGp7SErf/u3f9vod0XkoQILFizI+rZs2ZLaHkZbCf318MGOTsOfNbyW8uqtw8OSNKTs5Zdfzvr+5V/+pVWWaXsuv/zyHb0IbZ6OWf369av6Ob0mOPbYY7M+feWBH48a/udj2V577ZXaXpZfS4Z76N93vvOdiMhfl9FRaDiWh3HpeUKv5TwdpLXp9ejOFAqo/Drv/vvvT219lYtfd7c0X66FCxemtr9WycMZHU+sAAAAAKAkbqwAAAAAoCRurAAAAACgpA6RY/X0009n048//nhqH3fccantMZsaU+nxlfvtt19qa6npiDx+d9WqVVnfO++8k9rjx4/P+jTH5KWXXsr6KiV5t1fGsaPRdfmhD31oxy0IMtOnT8+mNU9Jcw0++clPZp/T/VdzCiPyvIRKTmHFXXfdldqeZ6ivPjjjjDOyPn1twfz587O+V155JSIiNm/eHDuTK664IrUPPfTQ1B48eHD2OY339zw0zbHr3bt3s5bDc4060tjmv01j7v13ao6VvqojIuLv/u7vWmDp0BK++93vpvadd95Z9XM63mip/Yg8t1pLb0fk1xmen6p5VHpN4/7yl79k05W88o6eZ6p5pRERzz//fGprWfuhQ4e22jI1RsfS2bNnZ30HH3xway9Oq9Hx0X+35lDr9tFr8O3R6/ei1yQU0RL9EXne3vZyqhxPrAAAAACgJG6sAAAAAKCkDhEKOG3atGz69NNPT20NVdp7772rzsP7dHr9+vVZn5ZC9bKrWv5Zw5QiIu6+++6q86yEwTX1kWN7M2PGjGx6+fLljX7Ow7c0bElLz0Y0DNVEeccff3w2/cQTT6S2lmb2N9lrGJ++ziAiL/nrZdr79u3b6Od8nlqaNSJ/vYEe9xEfhGs1NzSgvdKwSm17SWINffCQJQ8bVBoGVxTeV9R3/fXXZ9Nf/epXq362LfLfpuvP16WO6SeffHLLLhhazHXXXdfov3tYqG5/TQ2IyEOWfD/RawINX4vIx0Qv010UsnTOOedExAdl1zuqF198MZt+8MEHU/uyyy5LbU3HiIh4//33U7s1rr00PL5///4t/n1t0S233JJN6zrR63V/BZK+VsmPOf9scxSFiXror74epjE71xUHAAAAALQAbqwAAAAAoCRurAAAAACgpA6RY+VlnceMGZPaffr0KT1/zxXxaaVxoJ77o7HQO2us/Zo1a7JpzY+rlIaNiOjRo0f2uTfffDO1PVdES8kWlfj2PLqOXoK2DC1xHpGXSD377LNT2/PdNJ/J9/+i40Z53qLmKXhulua6ePniSrnWjp6Dd99992XTY8eOTe2i/DLNL/CcIS33rJ+LyOPZi/IE/FjUEsgnnnhi1b9rjzTmX88BPn3ssce22jKhvnTsKTofFdFXvni+sR5LmlMckY/Hnru97777praWc4/44Bj018l0NJ4f9dBDD6X2jTfemNp+zt+0aVNqe86bjom+jXV7+PhYlKul1yB+LbSz+J//839m0xMnTkxtzy1Uug08p0prG/jrWppbin3y5MmpPXr06Jr/LoInVgAAAABQGjdWAAAAAFBShwwFXLduXWprGIY/6m0J+h1evnFHv/W7LfBHuPpIXUuhejhN0SNcLdm+dOnSrG/IkCGpvXr16qrz8BK2CxYsSG0vKb4z0kftGnLX3FLmHpqi89xjjz2yPn207337779/as+dOzfrGzRoUER0/FBA/31r165N7V69eqW2j3+6LjVEKSIPmXnssceyvsMOOyy1X3vttayvKOxCv/+YY46J9szL/WqYim8PPXbQfum5Zfjw4antIcjVjj+nYWgR+Vjm4X66D/l1xNNPP53aHmq6ZMmSiGhY9r2j8d+n5wwPV1ce8q50u65atSrr023gYYK6rfx6R0M8i767I/NzuI6lut38/KGhmR66rq/n8fFW5+nbSufjY7oe40WvH2kMT6wAAAAAoCRurAAAAACgJG6sAAAAAKCkdptjpaUqX3zxxaxPy6IWlb4sMn/+/NTu3bt31qcxu0WlNj1PqDVyvNo6zX+LiJg0aVJqa16HlyLt2bNnavs21VjcAQMGZH0aX+sxtDofn6dO+99VYq9927d3us97zs1zzz2X2meeeWZqe56ATnvZU532Y1bz2LSUsf9dUb6KxkTvTJ599tlsWo8jLeHs45HmFfqrCCq5GY3Rccxz5fQ7fB/yfaU98xh/XSd+vpg5c2Zq//jHP27ZBUOT+P6r55Lf/OY3Wd9nPvOZRufh+/UBBxyQ2n6OmDVrVmqPHz8+63v99ddTW893ERFvvfVWams+SUSeW+o5VpX5tNdrDz33+jGn+TIrVqzI+vQ1O/76jlrpdZ7mXDvfxppj6fuXlsbfmegx4ud3Xc96TvJcVd/+So8dX8d6PizK3ff5F+VHbg9PrAAAAACgJG6sAAAAAKCk9vl8OPKSpoceemjWd9ZZZ6V20duztRSmP57UaQ2ncf5oUUPI/Pva6+P4sjSsz9eXbkfloUlFIZ1Fj2x1/j4PXRbfVocffnhqL1y4MOurlN5sbphpW6UlZD388bTTTkttPR60fGxExLJly1Lb93cNb/FwFl2XHlqhx6KHWWlojb+1ffHixRHR8UsNT506NZvWfVfDKNevX599br/99kttD1nRUMCDDz4469Pt4eETOqb66w007Le98+NDw008jOuoo45qjUVCjYpewaIhdx76p/u9jlFeFlqPuXnz5mV9fp5Reiz5uKoh0D4+Xnjhhal98cUXZ3233HJLRLTfa4+iUEAdozQULCIf2/TYbArdrv46liJ6vtmZSqoXvWpDX8vhaR6jR49ObS3F7sdA0XbU64m+fftmfXq8+PWnvuLAS+prSG9T8cQKAAAAAErixgoAAAAASuLGCgAAAABKap+BtxExe/bs1PbSzdOmTUttLb2u8f/OSzRq+eciRSUgmxvb29Fo2eWHH34467vuuutSe+XKlantMboaI+75V9pXVE7Tc210+3iOiarkVHV0etxs3Lgx6/vf//t/p/Yll1yS2r5ODzzwwNT2darbzUuxa/6Px6VrXoLnCsyZMye1PceqUnK36LjvCDSvLSLijDPOSG1dr749NKbcy9hrnpCPY7rNPQ5e17XGy7tFixZl04MGDar62ebYtm1bys/wMVrL+HpJ36KxRH+r51jpPqt5OhENz0/YsYryjbT0s+acRuSvo9DcXd+/3njjjdT2139onpZ+LiLPC/LxV5fL90vlOajtjR9Xfh2gNC/3qaeeyvomTJjQ6N8U5bgVnSd8OxZtA92/fN/Q183o9u4IfNupBx98MLU9B8pzUiuaksOu1x1+3il6LY72FV3LNxVPrAAAAACgJG6sAAAAAKCkNhUK6I9p9Y31kydPzvq+/OUvp/Ypp5yS9Z199tktsHQf0EeeTQkz6siPgWv1ox/9qGqfhi35etXHwroeI/LH8h7SqfPxR8Ia0uSPsZcuXZraReX22zp/jcATTzyR2nfddVfWp6FO+qb0iIhvfOMbNX1fUXlZXcdevtbDp1RROMj48eNT+4EHHsj6KiXi6/mIv63QEEjdphER999/f2pruJ/v/xs2bEhtP250nfsrEXQ7enihzsdDrjR820u419suu+ySwvx8LNGx11/VoCFXGpoc8UH5/oiG5Z3Hjh2b2r/85S+bt9A7sWphmy3Nt/GvfvWr1NbQP6djpYeTFpUI17BaH2P1vObhTBpG7WWh9Tf88Ic/zPoq+6KHHbYEHQv8d9e6XX080TFKj82IiJdffjm1Tz755KzvxBNPbHSeHrqu5ysPa9ZrDt/GzX2FR1EoYnvj4ePK14+WWPfx+JBDDkltLZvu+4JuHz8+9Lzj61iXxeep29XPBbrMms5SC55YAQAAAEBJ3FgBAAAAQEktEgroj+JWrFiR2gsWLMj6NNzvvvvuy/peeuml1K5U+Ko477zzUvvnP/951lePcAJ97OhVsWqdv4cZ6HrZWUMB3cKFC1O7qCqSPvr1x7kaVubrXB/vegiFGjFiRDbtYRo7mi/P3LlzU1vfah6Rh81quERExIwZM1Lbq/FoCJOHl02aNCm1dT/2EAkND/DQM902XgXOKz0qfSSvvzsiD+XwsaW90zFIw2QjIq688srU9gp7Gk6hvMqSrnMP69AxzsM09Y30Pk8NPfWQj+XLl6d2a4QCVvYNH691bPFjQJdLq19G5FXiGL/rq+w528dHHReeeeaZrK9fv36prVWDIyI++clPVv2OqVOnpraGfvp36zHhY7NWL9Nrn4iIo48+uup3P/7441WXuVpVtYgPxtyiKnYtwb9Pt29RVUYPO169enVq+3XYCSeckNo+9nt6SIWfk/RawivV6nnOx0f9rI+POv76PD2ccUfR9eBpELr/ep/+Nr+e0nBTH/v/7//9v6n9m9/8JuvTCtx6nvP9RM9Xfo+hIaO+n2hYe9G+59tYz6uEAgIAAABAK+PGCgAAAABK4sYKAAAAAEpqUo7VW2+9Fc8++2xERNxzzz1Zn8YAe4lnjWPt0aNH1qfxnP7W8Kuuuiq1Pf545MiRqV2PnCovD6m/wUs7anynx/Zq/HN7fwt6S5g3b142reursm9F5PHTEXk8upc/13jeIUOGVP1uz9vSN4B7qVWN9S0qIV7WmjVr4ne/+11E5GWyIyLuvPPO1PY4bv3NmjMQkR8bRx11VNb3hS98IbUPO+ywrE9zZ0466aSqy6zfvWTJkqrz8BK/Gq/94osvZn06LvixqH83fPjwqss1evTobNpz8dq6//f//l82rXkKnldx9dVXp7bvnzpeaVnwwYMHZ5/T/AU/NpTnv2neouad+Dw1nySi4djfknbZZZeUe+mvFUDbdffdd2fTZ555ZmoXlUr2Y0BzQY455piav1/HUh/bNK/qe9/7Xmr7qyj0GDjooIOyPs1x9bFZj0HPJdXzoecJLVu2LLU9h+fwww+PiIZ5J831/vvvpzwoz6PRcaLoFRlOc1v8PKy/x79P82ouvPDCqvPXazl/rYRuK8+H0mvTovXn+a/6dz7maY6Pj7lFecbNsXXr1vQdnluk51g/3+q0/52u8xdeeCHr0+ti/9233XZbauv1if+dnrt8uXQ/8Rw+PSZ8mTUHX3P6/e983/C6Dk3BEysAAAAAKIkbKwAAAAAoqUmhgCtWrIgbbrghIhqWGJ0wYUJqa4hVRF4O1MOW9PHrgAEDsj6fT71pKVQPtdGQJqchCP6ov6149913U5n7ot9SL/pI3R/na5iGl+/Uv9M33ftjcQ2bePXVV7M+3Rd9n9ESzx4KpY+BvSy5hpf6vu4hTmVs2bIlhZNOmzYt6/vKV76S2r4NdX/1kudHHHFEansIoZaJ9jK9GlLSrVu37S98NDxm9Tf4sdHckMpaQ/o8TLBSarheb7t/66234umnn46IhmEKGm7kfbov+f6v+7yPQUVhMLpO1q1bl/Xp/qmhyr5NNRTFl1n3+VGjRmV9WjZf95mIiPHjx0c1GjLjx3C9x9Hhw4cTAthOLFq0KD73uc9FRMQvfvGLrE/3cw/x0fHby/7rK1583Fca2uTfoaHYEXkYtYb/ff3rX88+p2GCfnzoseQpDA8++GBqV0L4GuMlyYv6zjnnnIiIuPbaa6v+TVOsXr06br311oiIOP7447M+DZVsCr0G9BAvDQ3zc6CGhnkYn9I0Ai3tHZFfZ3joeq2vVPBS3Hr946++KCrhXu9QwI0bN8ZTTz0VEQ3TUvQ6yc+vusweAqklyH2eum6LwiqdbnM9J/l61TA+D3ktKqOu/HjU844vs077eXt76Uc8sQIAAACAkrixAgAAAICSuLECAAAAgJKalGPVqVOnlM/hMbvDhg2raR5FJRQ9HlWnveS5xoV6aU+N5S/KFal1mZ3GbxflL3l+i8aBFsUE10OnTp2qxrVqXLnHjirP3fFtoLS8ppcR1Twnz4NZunRpamtuyE9/+tPsc1oa3Mut63J67sbQoUNTuyjXxvNbdFt53HdL+c53vpNNV+LjIxqWdFUeG65x9h4jraVnfR/UY2Xy5MlZ36mnnprampvox5CXEK6Vxk97OWHNBfM+3Taew1XJX6pXjtXcuXPTNnn00UezPl3+olwyX+dautzHP42599+tx1RRPsZHP/rR1NaStxEREydOTG1fRxqD7989e/bs1Pb8Kx1zNBcrojhvETuvXr16xec///lG+3S88vOZ9nk+hp6XPXdV91ktxRyRl1jXnKqI6rmS3//+97PPTZ8+PbU9p2fVqlWpXcnXrDjuuONS28tV69/5NZT+ds/9KMptaY633347lYz3fErdHp4TquchH2v0s3q+dn6tsmbNmtQuysfXvBrPxdH8Ox+39drU86F0Pp6jpPue/52OpUXXU/WwfPnytG/qq4si8mXcf//9sz7NLfNl1BLkPobrdVhRbpnvG7rf6Lby845+t18P+W9QixcvTm2/PtHfp/n+Eflv8N+zvfoPPLECAAAAgJK4sQIAAACAkpoUCjhgwIC47rrrIqL5pdA9vEyn/bF8kaI3e2tIkz6W10fH/jl91B6RP8L1spKHHHJITcvoj5a3V6Kxnt59990UZuehbBoq5o9ldRk9jFL/TkOYIvJH4xoqGZGHLnh5Ww3r07aW74+IeO655xr9XEQeNlEUYumhBBqq6eEJGkLhj6TrqUuXLjFkyJCIiDj33HOzPl3eotKv3qfbu9YypM7Lmepjf30k/6lPfSr7nJbg9VABXademldfw+CP9fXv/PfotG+nyvfXWq59e7p37x6f+MQnIqJh6KiGtBaVry0KkfDfpuvBjykNn3Aa0qDHxgUXXJB97vXXX09tP541JEpDPyPycB0vEaxhwD7u6PheNH5j57LnnnumcNZZs2ZlfXqd4dcHeix5eJye60eMGJH16XjyyiuvZH3+Ohil4/HXvva11P7BD36Qfa4ynkdEzJs3L+vTEKyzzz4769Pxy8dOvZbw40rHm5a+xnjnnXfS2DBu3LisT7eHj8VagtyXUX9rUeqGj6u6PTQ0OiI/R+l5Va8jfB5FIf/+ahJdZg+319/u8ywq4V1v3bp1izPPPDMiGpbG1+OlaJ/xtA69XvRrBOXnJ30liB/Hekzo60H8mlzvFfwaQc+j+gqTiPzY8d+q16O+f+nf+X3L9nB2AwAAAICSuLECAAAAgJK4sQIAAACAkpqUgLHbbrs1O7eqLI+hLirtqCUUNQ50zpw52ec07tPjsHW6uaXRWzOnyq1Zsyb+8Ic/RETE5ZdfnvVpeVbPO9PcB48P1zhWzbfyv/P1NWDAgNT2HCuNTy7KBzr66KOr9imPCdZtrO2IPMfK451123nsrefcldGlS5cG+15jy+B0ef1zteZVeV6Zlsf2MsF33HFHap9yyimpfdlll2Wf02PsjDPOyPp0vbX06wYiPhgj6nUcdu7cOcXa+/6vceM+HtWSBxbRcJ0rL6mvuSAzZ87M+jQHVGPdPR9Kv3vRokVZ37777pva+qqDiPyY9XLCynNMNT6/6PUB2Lls2bIl5fGNHDky69Mx+qWXXsr69LN+XGnehudH6KsRvKy57tt+TAwaNCi1r7jiitR++OGHs8/paww8h1mPCc8L0jxHzUmKyHN1NH8oIj/nad5kRMPrmrI6deqUxjM/z+hv9es1XX4/n+q28+2o+XD+d9Wu8yLybawl1f06olo+akQ+tjWlvLduDx8fdR15/lXRazqao2vXrg1ymRv7bt9Wei3n20OPx6JXDRW9EkC3TUS+fY455pjU9uNDz7ma0xyRX8voa3si8ry9ovxELy2v+57/nu3hiRUAAAAAlMSNFQAAAACU1LxazI3QR2r1KqVbVLpXH0MXvcF6+PDhjbY7ul122SWtF3/D+0knnZTa/sZ6DZvyUDHlZVE1FMrDH5Q/7tbHu0XbW0PHvJSnTntZVF0WDW/yefqjfn1bt8+zEqZRjzLeu+yyS9WypbpMvr6Lwts0jMRDL3X9+28uCue88MILU1sfi3vp+2OPPbbqcrW2gw8+OCLq+4b7SmiEhwbovuVhPLqOPBxVjxvfnzTcwbeH7tf+fdOmTUttDZd69tlns89p6JGHDOn3+fx1H/JwIA278mPdw5SAiL/ua8OGDYuIiJ/85CdZ3+c///nUHjVqVNanYUpemlnDXovCVT1MUPd7Hzf0O/S86aGyOub6PDQMSkMLI/LQQz8nFIVOa3iWH8eV0OyiddAU27ZtS9cF+kqGiDw0zMOO9XzlpeR1LPUxUMOx9HdG5GOgj0M6tmmIu4fx63otCtsrCv1z/tuVnnM9/cCvxcrasmVLzJ07NyIiTj755KxPx2Y/l+nv9uuHolci+fZRup59HlpiXV9V4NeRekxUxouKWsP9dX+KKL5XKXodT9HrbyJ4YgUAAAAApXFjBQAAAAAlcWMFAAAAACXVLceqXnlVqihWtaV5jk81RaWti3KBPP+g3vG1mzZtiunTp0dEni8Ukccxa+nsiDyu1XOLNAbZ45E1TtfXiZaf9r/TGHdd5x4zq/HIXhZV43I9Fl3nU2sZ8oiIMWPGpPbs2bOzvkpJ3nrs83vuuWccfvjhjfZpXpWX99ZYYT9OtGSwtl1zjy/dZkWlcz0+W7ehHxue/6aKyr9qSVZ/FURlP/G46ubae++9U35i5diq0DwL3R8j8mPK9xk9bvzVB9rn8ea6XxeNJVqm/aCDDopqPNdEt48fb0U5jcpzCPQ31GuboGP50pe+lE3fcsstqT1hwoSsT/c930eVn8uL8oG1/LbnR+kxovlWnjNSdL7Tcc5zUnT+1fJ6IyLmz5+f9Q0dOjS1n3rqqazvuOOOi4j6vd5i69atabmfeeaZrE9LZXsuk/42X+d6Xvb8K+3zv9PxxfNA9ffquvTzTtE5UMdqz7EpyiMvmr+eL328r7etW7em9VnJtarQfDjP31b+6hCd9vFd15Hvb3oM+rlGc5D1OsevCYrWuW7/omsev67UY9ePR12WppbC54kVAAAAAJTEjRUAAAAAlFS3UMBaecldLT/pYT76KLboMbA/+tNH+Nrnj/OKQrmaEjZWjT/KLAp3qrd99903Tj311IiI+MEPfpD16SP8mTNnZn36ZvIzzjijBZewIX2c64+SNfTCw4j88b7SbV60f/k89JH31KlTs77KdiwqR19vReVePSxtxYoVqe2hKEVlSXWd+zGlj+/10b2Hy2hITlF4a1HoTlMUhaLVW9euXeOoo46KiIblnTXc1n+3llj3EBnl+6duDx+P9LN+rOg4o+OrHzd6vHm4lG5vD1kpKrmrNEwzIqJPnz41/R12Llu3bk2v2vDQqYsvvrjq3/3sZz9L7Y997GNZnx4vXrpcxzYfw3U881BmPa40xNavK/Tc4WWZNdzIy1zrWObXSTqm+HGloYCV0L+W0qtXr7j00ksjImLy5MlZn44nHt6ux76PA7p9ilIAfPxqTjixX4Pp+dHnp31F15+1lvqOyPfver4GpDHvvPNOKonv6Qz6e/z40N/mof467WGbuv78+kHPL0Ulz/Xc4uckXS7v09/jy1VrGJ8vs56rm7KNI3hiBQAAAAClcWMFAAAAACVxYwUAAAAAJbV6jlW/fv0Kp1EfvXr1issuuywiIsaPH5/1/epXv0rtb33rW1mf5s9ovlVEHp/scdJF8eGaT7Ny5cqsT2NlNW7dy6dqPLqXAC3KddL8E4+11bhc/d0Redyv57BUYtxbulxqrY488sgdvQg7hV133TWVpvUStQceeGBqv/rqq1nfjBkzUvv444/P+jSPw/OoNN7c9zUtl+u5WdXKzRblonoJXD3GPL681twAL3+vBgwYUNM8mmv+/Plx0UUXRUTErbfe2qLfhfKq5TAUlaf+whe+UHV+WpJ82bJlWd8RRxyR2i+++GLWN27cuNTW3MiI/JjQnCcvf17tdQcR+bnEy1XrOc/zUHRZPI9qzpw5qT1ixIhG/87HiObq3r17XHjhhRERMXbs2KxPc7fvvfferE/zVY499tisT7dxUYltP8/rGOzrUscoXXeeK+UltpV+n+fj67TnP+s8PcdO85l8zK23/fffP+Ueehl+/W0LFy7M+gYPHpzaRdfnvk6K8n6bmqMU0fB8qPuJb0fta0rumi6zH3O+7ZqCJ1YAAAAAUBI3VgAAAABQUquHAqL1VB7VaniDT3/2s5/N+u65557U/j//5/9kffpWen9kr+XKvU8fGRe95btamfyIPJzQHxHrtIcE6CPooje+e/lvfRyub5SPiBg+fHhERNx2222N/Ars7IYMGZJNH3TQQVU/qyG0ReWDm1uevugt9B6uUevftQdbtmyJuXPnRkTDkCU9tv/0pz+16nJ1BI888khENCxH3ly77LJLg5LPFVryuujcoeemiLwEudPQJx/bNWzQw8P17wYOHJja/soHPXY83EvPQUXnKg9b9/LSSsOCfZ5Fr5Qp65BDDqk6reGJEREvvfRSans5bL128HO0pgB4OKOGanmfrnddd75e9XO+rfS7i0LZvGy+XsdUXiNQUW0/bwl77bVX2r99P3/hhRdSW6/5IvJ9yEMl9Zyh+11EcUpGc0rLFx0fng6ioYC+z+t51bexLnNzyvdXwxMrAAAAACiJGysAAAAAKIkbKwAAAAAoiRyrnVxR/tXVV1+d9Wm88KpVq7I+LRXrcdJKy65GNMzHak9aMn4d7VdTyujWM64bH9i2bVuD3IcKzZXx/CvleW36moqiHJ6muO6661L7j3/8Y13m2VqWLFnS4t9Ra65fUf6V83OQ0lLpTl8xomO/vhbBeT5wcxXNp+gcWulr7XHGy777tNKS9H7toHlUfs2hfUX5OIMGDar63WVKardno0ePbrTtFi9enE3revX9Tl+H0JycKleU11avHOB6LGdjuDIEAAAAgJK4sQIAAACAkjr5I9TCD3fq9EZELNzuB1HG4G3btvUqOxO2Vasova3YTq2CY6r9YFu1H2yr9oNt1X6wrdqPRrdVk26sAAAAAAANEQoIAAAAACVxYwUAAAAAJXFjBQAAAAAlcWMFAAAAACVxYwUAAAAAJXFjBQAAAAAlcWMFAAAAACVxYwUAAAAAJXFjBQAAAAAl/f8s5iIukvZUIwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x576 with 24 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "layer_name = 'conv2d' \n",
    "layer_dict = {layer.name : layer for layer in model.layers}\n",
    "modelslice = tf.keras.Model(inputs=model.inputs, outputs=layer_dict[layer_name].output)\n",
    "image = train_img[0] \n",
    "image = np.expand_dims(image, axis=0)\n",
    "feature_maps = modelslice.predict(image)\n",
    "plt.figure(figsize=(15, 8))\n",
    "    \n",
    "for i in range(24):\n",
    "    plt.subplot(4,8,i+1)\n",
    "    plt.xticks([])\n",
    "    plt.yticks([])\n",
    "    plt.imshow(feature_maps[0, :, :, i-1], cmap=plt.cm.binary)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "70ea3827",
   "metadata": {},
   "source": [
    "Ocena dokładności modelu"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "5930b9e4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "313/313 [==============================] - 2s 6ms/step - loss: 0.2639 - accuracy: 0.9110\n"
     ]
    }
   ],
   "source": [
    "test_loss, test_acc = model.evaluate(test_img, test_lbl)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dbf33689",
   "metadata": {},
   "source": [
    "Prognozowanie obrazów"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "ba67a0a1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "313/313 [==============================] - 2s 6ms/step\n"
     ]
    }
   ],
   "source": [
    "predictions = model.predict(test_img)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "faf690dd",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictions[0]\n",
    "np.argmax(predictions[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab57fe53",
   "metadata": {},
   "source": [
    "Pełny zestaw prognoz 10 klas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "4f89e72f",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_img(i, pred_arr, true_lbl, img):\n",
    "    pred_arr, true_lbl, img = pred_arr, true_lbl[i], img[i]\n",
    "    plt.grid(False)\n",
    "    plt.xticks([])\n",
    "    plt.yticks([])\n",
    "    plt.imshow(img, cmap = plt.cm.binary)\n",
    "    predicted_label = np.argmax(pred_arr)\n",
    "    if predicted_label == true_lbl:\n",
    "        color = 'green'\n",
    "    else:\n",
    "        color = 'red'\n",
    "    plt.xlabel(\"{} {:2.0f}% ({})\".format(class_names[predicted_label],\n",
    "                                         100*np.max(pred_arr),\n",
    "                                         class_names[true_lbl]),\n",
    "                                         color = color)\n",
    "    \n",
    "def plot_value_array(i, pred_arr, true_lbl):\n",
    "    pred_arr, true_lbl = pred_arr, true_lbl[i]\n",
    "    plt.grid(False)\n",
    "    plt.xticks(range(10))\n",
    "    plt.yticks([])\n",
    "    thisplot = plt.bar(range(10), pred_arr, color = \"#777777\")\n",
    "    plt.ylim([0,1])\n",
    "    pred_label = np.argmax(pred_arr)\n",
    "    \n",
    "    thisplot[pred_label].set_color('red')\n",
    "    thisplot[true_lbl].set_color('green')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1a69f6ed",
   "metadata": {},
   "source": [
    "Przykładowa prognoza"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "3642e6cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x216 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "i = 420\n",
    "plt.figure(figsize=(6,3))\n",
    "plt.subplot(1,2,1)\n",
    "plot_img(i, predictions[i], test_lbl, test_img)\n",
    "plt.subplot(1,2,2)\n",
    "plot_value_array(i, predictions[i], test_lbl)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "64c18dd6",
   "metadata": {},
   "source": [
    "Wyświetlanie i prognozowanie wybranej wielkości listy obrazów"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "e31c8b4c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2880x1440 with 200 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "rows = 10\n",
    "cols = 10\n",
    "\n",
    "num_img = rows * cols\n",
    "plt.figure(figsize = (2 * 2 * cols, 2 * rows))\n",
    "\n",
    "for i in range(num_img):\n",
    "    plt.subplot(rows, 2 * cols,  2 * i + 1)\n",
    "    plot_img(i, predictions[i], test_lbl, test_img)\n",
    "    plt.subplot(rows, 2 * cols, 2 * i + 2)\n",
    "    plot_value_array(i, predictions[i], test_lbl)\n",
    "plt.tight_layout()"
   ]
  }
 ],
 "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": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}