lab2/week2_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "6833eb25-cce4-42af-a30b-b7eed7a42f85",
   "metadata": {},
   "source": [
    "# Анализ даных (Week 2)\n",
    "## Работа в pandas , numpy и визуализация"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d7e22e29-9ecd-46f0-b614-84be89b134f6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "arr = np.array([1, 2, 3, 4, 5])\n",
    "np.sum(arr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "88c73570-9f04-4f9a-910b-551db3bd2154",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.float64(3.0)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.mean(arr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "f5ae6587-a13d-4972-b049-6c86388b6d72",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.float64(3.0)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.median(arr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "d12b6a58-f30b-4ed6-abb1-4b029e271ee3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.float64(1.4142135623730951)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.std(arr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "f8881238-8e00-45bd-9e19-5f9b0c89c75d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 2],\n",
       "       [3, 4]])"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 2D массив\n",
    "np.array([[1, 2], [3, 4]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "8e4dc083-9132-4a3a-8e35-1aac6ba26031",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.        ,  0.1010101 ,  0.2020202 ,  0.3030303 ,  0.4040404 ,\n",
       "        0.50505051,  0.60606061,  0.70707071,  0.80808081,  0.90909091,\n",
       "        1.01010101,  1.11111111,  1.21212121,  1.31313131,  1.41414141,\n",
       "        1.51515152,  1.61616162,  1.71717172,  1.81818182,  1.91919192,\n",
       "        2.02020202,  2.12121212,  2.22222222,  2.32323232,  2.42424242,\n",
       "        2.52525253,  2.62626263,  2.72727273,  2.82828283,  2.92929293,\n",
       "        3.03030303,  3.13131313,  3.23232323,  3.33333333,  3.43434343,\n",
       "        3.53535354,  3.63636364,  3.73737374,  3.83838384,  3.93939394,\n",
       "        4.04040404,  4.14141414,  4.24242424,  4.34343434,  4.44444444,\n",
       "        4.54545455,  4.64646465,  4.74747475,  4.84848485,  4.94949495,\n",
       "        5.05050505,  5.15151515,  5.25252525,  5.35353535,  5.45454545,\n",
       "        5.55555556,  5.65656566,  5.75757576,  5.85858586,  5.95959596,\n",
       "        6.06060606,  6.16161616,  6.26262626,  6.36363636,  6.46464646,\n",
       "        6.56565657,  6.66666667,  6.76767677,  6.86868687,  6.96969697,\n",
       "        7.07070707,  7.17171717,  7.27272727,  7.37373737,  7.47474747,\n",
       "        7.57575758,  7.67676768,  7.77777778,  7.87878788,  7.97979798,\n",
       "        8.08080808,  8.18181818,  8.28282828,  8.38383838,  8.48484848,\n",
       "        8.58585859,  8.68686869,  8.78787879,  8.88888889,  8.98989899,\n",
       "        9.09090909,  9.19191919,  9.29292929,  9.39393939,  9.49494949,\n",
       "        9.5959596 ,  9.6969697 ,  9.7979798 ,  9.8989899 , 10.        ])"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# диапазон\n",
    "np.linspace(0, 10, 100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "5c274c25-b2a9-4aff-992f-2752372686d7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.57373096,  0.4541182 ,  1.04545643, -0.39463173, -0.8231528 ])"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# случайные числа\n",
    "np.random.randn(5)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "17d45b77-330f-44ed-b40d-42ecb9be965e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.int64(11)"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# умножение векторов\n",
    "np.dot([1, 2], [3, 4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "6d22d181-0f94-4b19-811e-4c3cafc2b93c",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Matplotlib is building the font cache; this may take a moment.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "x = np.linspace(0, 10, 100)\n",
    "y = np.sin(x)\n",
    "\n",
    "plt.plot(x, y, label=\"sin(x)\", color=\"red\")\n",
    "plt.xlabel(\"X\")\n",
    "plt.ylabel(\"Y\")\n",
    "plt.title(\"График\")\n",
    "plt.legend()\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "bdf3572b-5f5e-43f3-bad5-23040dbe02df",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# гистограмма\n",
    "plt.hist(df[\"Баллы\"])\n",
    "plt.show()\n",
    "\n",
    "# scatter\n",
    "plt.scatter(df[\"Возраст\"], df[\"Баллы\"])\n",
    "plt.show()\n",
    "\n",
    "# столбчатый\n",
    "plt.bar(df[\"Имя\"], df[\"Баллы\"])\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "5abf200c-ae78-4dfc-b66c-ca4df0e27207",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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KTJgwQZo3by5BQUESExMjU6dOFZfL5d7Hx8fH4/Lmm2+W2e7kyZNL7R8XF1dNZwUAALydv5NvPn36dJkzZ44sXLhQWrVqJdu2bZPBgwdLaGiovPjii2afrKysEsf853/+pwwdOlR69epVbtva3rp169zr/v6OnioAAPAijqaCTZs2SXJysnTr1s2sR0VFybJlyyQ9Pd29T1hYWIljPvnkE3n44YclOjq63LY18Fx9LAAAgONTYAkJCZKWlib79u0z67t27ZKNGzdKUlKSx/2PHz8un3/+uRkBupb9+/dLRESECUr9+/eXw4cPl7lvfn6+5OTklFgAAEDt5egI0Lhx40zY0PocPz8/UxOUkpJiAosnOlVWv359eeKJJ8ptNz4+XhYsWCAtW7Y0U2hTpkyRBx54QPbs2WOOv1pqaqrZBwAA2MHHVbziuJotX75cxo4dawqatWZn586dMnr0aJkxY4YMHDiw1P4alB599FGZOXPmdb3P2bNnpVmzZqZdT6NHOgKkSxENZZGRkZKdnS0hISE3eHYAAKA66fe31hFX5Pvb0REgDT86CtS3b1+z3rp1a8nMzDQjMlcHoK+//lq+//57WbFixXW/T4MGDSQ2NlYOHDjgcXtAQIBZAACAHRytAbp48aL4+pbsgk6FFRYWltp33rx50r59e2nbtu11v8/58+clIyNDwsPDb6q/AACgdnA0AHXv3t3U/Ghh86FDh2T16tVmmqpnz56lhrRWrVolw4YN89hOYmKizJo1y73+8ssvy4YNG0ybeqWZtqfBql+/flV+TgAAwPs5OgWmtTx6I8RRo0bJiRMnzFVbI0aMkIkTJ5aqFdJSpbICjI7unDp1yr1+5MgRs+/p06fltttuk44dO8qWLVvMzwAAAI4WQdeGIioAAFDzvr95FhgAALAOAQgAAFiHAAQAAKxDAAIAANYhAAEAAOsQgAAAgHUIQAAAwDoEIAAAYB0CEAAAsM4NPQpDH2Dq4+NT5vYrV67cTJ8AAAC8LwDpQ0sBAACsCkDJyckl1v/85z/Lzp075ac//an07t27svoGAADgnTVA06dPN09eX7NmjQwdOlSmTJlSOT0DAADw1gC0cOFCee+99yQ9PV0++eQTmT9/fuX0DAAAwFsD0NGjR+X+++83P+ufP/74Y2X0CwAAwHsDkF7x5e///0qJ/Pz8pLCwsDL6BQAA4F1F0D/72c/cl8Hn5uZK9+7dpW7duuJyuSq7fwAAAN4RgB5//PEyrwgrvg0AAMAb+bgYtiklJydHQkNDJTs7W0JCQpzuDgAAqOTvb/8bfYPyEBoAAIA3u6EA1KBBA4+PwtDBJH2dR2EAAIBaF4DUhx9+KA0bNqzc3gAAAHhzAPrFL34ht99+e+X2BgAAwJsD0N69e+X06dMSHBwsYWFh5jJ4AACAWn0jxMTERGnVqpU0b97chKDWrVvLH//4x8rtHQAAgLeMAB08eNAUPF+6dMlcEaaPw9BngU2YMEEuX74sY8eOrfyeAgAAeON9gBYvXiy//e1vZf/+/VKTcR8gAABqniq/D1BZ+vbta6bFAAAAvFml3wixRYsWN9MfAACAKseNEAEAgHW4ESIAALAON0IEAADW4UaIAADAOo7eCFFrhfTeQdpGUFCQxMTEyNSpU00tUZFBgwaZuqLiS9euXa/Z9uzZsyUqKkoCAwMlPj7e3KcIAADA8RshTp8+XebMmSMLFy40YWrbtm0yePBgcw3/iy++6N5PA8/8+fPd6wEBAeW2u2LFChkzZoy88847Jvy89dZb0qVLF/n++++ZtgMAAM7eCPGxxx6TJk2ayLx589yv9erVy4wGLVmyxD0CdPbsWfn4448r3A8NPT//+c9l1qxZZr2wsFAiIyPlhRdekHHjxl3zeG6ECABAzXM93983PAVW1o0QdfSlohISEiQtLU327dtn1nft2iUbN26UpKSkEvutX7/ejNy0bNlSRo4caWqPylJQUCDbt2+XTp06uV/z9fU165s3b/Z4TH5+vvlLK74AAIDaq1LvBF2nTh255557Kry/jsZo2IiLixM/Pz9TE5SSkiL9+/cvMf31xBNPmDqhjIwMee2110xA0jCjx1zt1KlTph0dWSpO17/77juP/UhNTZUpU6Zc17kCAADLApAGDC14XrlypRw+fNiMuhT3P//zPxVqR49funSpfPDBB6YGaOfOnTJ69GiJiIiQgQMHukeVimihdZs2bUyxtI4KaSF2ZRg/frypGSqioUynzAAAQO10Q1NgOloyY8YM6dOnj5ln0/CgozQ61TR58uQKt6PF0joKpCFHw80zzzwj//Iv/2JGZMoSHR0tjRs3lgMHDnjcrtt0ZOj48eMlXtd1vVzfEy2q1rnC4gsAAKi9bigA6ajNu+++K7/+9a/F399f+vXrJ++9955MnDhRtmzZUuF2Ll68aEJTcRpetGi5LEeOHDE1QOHh4R636/2I2rdvb2qLimh7ut6hQ4cK9w0AANReNxSAjh07ZkZsVL169cwoUNFVXZ9//nmF2+nevbup+dFjDh06JKtXrzYjSz179jTbz58/b0aJNFTpdg0xycnJ5oGrell7EZ0KK7riS+mIlAY0vbz+22+/NYXTFy5cMJfYAwAA3FAN0J133ilZWVnStGlTU4/zl7/8xRQ/b9269Zr36Clu5syZ5t5Bo0aNkhMnTpjanxEjRpiRpKLRoN27d5sgo5fC6/bOnTubmyUWfx8tjtbi5yI6NXfy5EnTjoa1du3ayZo1a0oVRgMAADvd0H2AtG5H62T0iiy97P3pp582d13Wgmit4fnd734nNRn3AQIAoHZ/f1fKjRB1imrTpk1y1113mWmtmo4ABABAzVOtN0LUaa/PPvvMTGHpmwIAANSqGiCt+fnmm2+kUaNGZn3t2rXSrVs3U4+jV3P9/ve/l2XLlslTTz1VVf0FAAC4adc1AqSXoOtNEIu8+eab5hJ4LVA+c+aMKWB+4403br5XAAAAVeimpsD0EnN9wKheraUjQPpzRR+ECgAAUCMDkI78NGzY0L1+6623yrlz5yqjXwAAAN4RgHx8fMxy9WsAAAC1tghar5gfNGiQ+yaEeXl58txzz0lwcLBZz8/Pr5peAgAAOBWAip7QXkRvgHi1AQMG3HyvAAAAvCUAzZ8/v+p6AgAAUE1u+kaIAAAANQ0BCAAAWIcABAAArEMAAgAA1iEAAQAA6xCAAACAdQhAAADAOgQgAABgHQIQAACwDgEIAABYhwAEAACsQwACAADWIQABAADrEIAAAIB1CEAAAMA6BCAAAGAdAhAAALAOAQgAAFiHAAQAAKxDAAIAANYhAAEAAOsQgAAAgHUIQAAAwDqOBqArV67IhAkTpHnz5hIUFCQxMTEydepUcblcZvulS5fk1VdfldatW0twcLBERETIgAED5OjRo+W2O3nyZPHx8SmxxMXFVdNZAQAAb+fv5JtPnz5d5syZIwsXLpRWrVrJtm3bZPDgwRIaGiovvviiXLx4UXbs2GFCUtu2beXMmTPy0ksvSY8ePcy+5dH21q1b517393f0VAEAgBdxNBVs2rRJkpOTpVu3bmY9KipKli1bJunp6WZdg9DatWtLHDNr1iy577775PDhw9K0adMy29bAExYWVsVnAAAAaiJHp8ASEhIkLS1N9u3bZ9Z37dolGzdulKSkpDKPyc7ONlNaDRo0KLft/fv3mymz6Oho6d+/vwlMZcnPz5ecnJwSCwAAqL0cHQEaN26cCRtan+Pn52dqglJSUkxg8SQvL8/UBPXr109CQkLKbDc+Pl4WLFggLVu2lKysLJkyZYo88MADsmfPHqlfv36p/VNTU80+AADADj6uoopjByxfvlzGjh0rb775pqnZ2blzp4wePVpmzJghAwcOLLGvFkT36tVLjhw5IuvXry83AF3t7Nmz0qxZM9Pu0KFDPY4A6VJEQ1lkZKQZbbqe9wEAAM7R728tn6nI97ejI0AafnQUqG/fvmZdr/bKzMw0IzLFA5CGn969e5ttf/3rX687lOh0WWxsrBw4cMDj9oCAALMAAAA7OFoDpFd5+fqW7IJOhRUWFpYKP1rTo1d1NWrU6Lrf5/z585KRkSHh4eGV0m8AAFCzORqAunfvbmp+Pv/8czl06JCsXr3aTFP17NnTHX6efPJJc8n70qVLTY3QsWPHzFJQUOBuJzEx0VwdVuTll1+WDRs2mDb1SjNtT4OV1g4BAAA4OgU2c+ZMc4+fUaNGyYkTJ8xVWyNGjJCJEyea7T/++KN8+umn5ud27dqVOPbLL7+Uhx56yPysozunTp1yb9M6IQ07p0+flttuu006duwoW7ZsMT8DAAA4WgRdG4qoAABAzfv+5llgAADAOjwfAgDg8b5r5d1AFs7QJyAEBgY63Y1agQAEAChFw8/w4cOd7gauMnfuXHNbF9w8AhAAwONIg37Z1nR6/zi92vj11183N8St6cp7BiauDwEIAFCKTrPUppEGDT+16Xxw8yiCBgAA1iEAAQAA6xCAAACAdQhAAADAOgQgAABgHQIQAACwDgEIAABYhwAEAACsQwACAADWIQABAADrEIAAAIB1CEAAAMA6BCAAAGAdAhAAALAOAQgAAFiHAAQAAKxDAAIAANYhAAEAAOsQgAAAgHUIQAAAwDoEIAAAYB0CEAAAsI6/0x0AgNro+PHjkp2d7XQ3rJeZmVniTzgrNDRUmjRpIt7Ax+VyuZzuhLfJyckx/5H0l1dISIjT3QFQA8PP088MkEsF+U53BfAqdeoGyJLFi6osBF3P9zcjQABQyfSXr4af3OhfSmFgqNPdAbyCb162yD82mM+HN4wCEYAAoIpo+CkMbux0NwB4QBE0AACwDgEIAABYhwAEAACs42gAunLlikyYMEGaN28uQUFBEhMTI1OnTpXiF6bpzxMnTpTw8HCzT6dOnWT//v3XbHv27NkSFRUlgYGBEh8fL+np6VV8NgAAoKZwNABNnz5d5syZI7NmzZJvv/3WrL/xxhsyc+ZM9z66/vbbb8s777wjf/vb3yQ4OFi6dOkieXl5Zba7YsUKGTNmjEyaNEl27Nghbdu2NcecOHGims4MAAB4M0cD0KZNmyQ5OVm6detmRmuefPJJ6dy5s3u0Rkd/3nrrLfnNb35j9mvTpo0sWrRIjh49Kh9//HGZ7c6YMUOeffZZGTx4sNx9990mPN1yyy3y/vvve9w/Pz/f3Dug+AIAAGovRwNQQkKCpKWlyb59+8z6rl27ZOPGjZKUlGTWDx48KMeOHTPTXkX0Bkc6pbV582aPbRYUFMj27dtLHOPr62vWyzomNTXVtFu0REZGVvKZAgAAb+LofYDGjRtnRlvi4uLEz8/P1ASlpKRI//79zXYNP+rqGybpetG2q506dcq04+mY7777zuMx48ePN1NmRbRPhCAAAGovRwPQypUrZenSpfLBBx9Iq1atZOfOnTJ69GiJiIiQgQMHVls/AgICzAIAAOzgaAAaO3asGQXq27evWW/durV5YJ1OSWkACgsLcz9XR68CK6Lr7dq189hm48aNzWiS7lOcrhe1BwAA7OZoDdDFixdNfU5xGl4KCwvNz3p5vIYWrRMqPj2lV4N16NDBY5t169aV9u3blzhG29P1so4BAAB2cXQEqHv37qbmp2nTpmYK7JtvvjFXcA0ZMsRs9/HxMVNi06ZNk7vuussEIr1vkE6RPf744+52EhMTpWfPnvL888+bda3n0RGke++9V+677z5zJdmFCxfMVWEAAACOBiC9348GmlGjRpl79GiwGTFihLnxYZFXXnnFhJfhw4fL2bNnpWPHjrJmzRpzg8MiGRkZpvi5SJ8+feTkyZOmHS2W1ukyPcYbnj4LAACc5+MqfttluKfZ9HL47OxsCQkJcbo7AGoYvbWH/qPtwt09eBo88P/5XjglwXs/lblz50psbKw4/f3Ns8AAAIB1CEAAAMA6BCAAAGAdAhAAALAOAQgAAFiHAAQAAKxDAAIAANYhAAEAAOsQgAAAgHUcfRQGANRmvrlnne4C4DV8vezzQAACgCoSdPArp7sAoAwEIACoIrnNH5TCoAZOdwPwmhGgIC/6RwEBCACqiIYfHoYKeCeKoAEAgHUIQAAAwDoEIAAAYB0CEAAAsA4BCAAAWIcABAAArEMAAgAA1iEAAQAA6xCAAACAdQhAAADAOgQgAABgHQIQAACwDgEIAABYhwAEAACsQwACAADWIQABAADrEIAAAIB1CEAAAMA6BCAAAGAdAhAAALCOowEoKipKfHx8Si3//M//LIcOHfK4TZdVq1aV2eagQYNK7d+1a9dqPS8AAODd/J18861bt8qVK1fc63v27JFHH31UnnrqKYmMjJSsrKwS+8+dO1fefPNNSUpKKrddDTzz5893rwcEBFRB7wEAQE3laAC67bbbSqz/7ne/k5iYGPnlL39pRm7CwsJKbF+9erX07t1b6tWrV267GniuPrY8+fn5ZimSk5NT4WMBoCy+edlOdwHwGr5e9nlwNAAVV1BQIEuWLJExY8aY8HO17du3y86dO2X27NnXbGv9+vVy++23y6233iqPPPKITJs2TRo1alTm/qmpqTJlypSbPgcAUKGhoVKnboDIPzY43RXAq9SpG2A+H97Ax+VyucQLrFy5Uv7pn/5JDh8+LBEREaW2jxo1ygSbvXv3ltvO8uXL5ZZbbpHmzZtLRkaGvPbaa2bEaPPmzeLn51fhESCdgsvOzpaQkJBKODsAtjl+/Lj5HQJnZWZmSkpKirz++uvSrFkzp7tjvdDQUGnSpEmVta/f3/oeFfn+9poRoHnz5pnaHk/hJzc3Vz744AOZMGHCNdvp27ev++fWrVtLmzZtzLSahqfExMQyp8yoEwJQmfSXfFX+osf10fATGxvrdDfgRXy9JaGvW7dOhg0b5nH7hx9+KBcvXpQBAwZcd9vR0dHSuHFjOXDgQCX0FAAA1AZeEYD0ii2t2enWrVuZo0M9evQoVTRdEUeOHJHTp09LeHh4JfQUAADUBo4HoMLCQhOABg4cKP7+pWfkdOTmq6++KnN0KC4uzlwdps6fPy9jx46VLVu2mPsIpaWlSXJysrRo0UK6dOlS5ecCAABqBscDkE59aeHzkCFDPG5///335c4775TOnTt73P7999+7Cw21yHn37t1mtEjneocOHSrt27eXr7/+mhofAADgPUXQGmzKuxDtX//1X81SluLHBgUFyRdffFHpfQQAALWL4yNAAAAA1Y0ABAAArEMAAgAA1iEAAQAA6xCAAACAdQhAAADAOgQgAABgHQIQAACwDgEIAABYhwAEAACsQwACAADWIQABAADrEIAAAIB1CEAAAMA6BCAAAGAdAhAAALAOAQgAAFiHAAQAAKzj73QHAADeJy8vTw4fPiw1XWZmZok/a7qmTZtKYGCg092oFQhAAIBSNPwMHz5caouUlBSpDebOnSuxsbFOd6NWIAABADyONOiXLbzvvwsqBwEIAFCKTrMw0oDajCJoAABgHQIQAACwDgEIAABYhwAEAACsQwACAADWIQABAADrEIAAAIB1CEAAAMA6BCAAAGAdAhAAALAOAQgAAFiHAAQAAKxDAAIAANbhafAeuFwu82dOTo7TXQEAABVU9L1d9D1eHgKQB+fOnTN/RkZGOt0VAABwA9/joaGh5e7j46pITLJMYWGhHD16VOrXry8+Pj5OdwfV8C8GDbs//PCDhISEON0dAJWIz7ddXC6XCT8RERHi61t+lQ8jQB7oX9qdd97pdDdQzfSXI78ggdqJz7c9Qq8x8lOEImgAAGAdAhAAALAOAQjWCwgIkEmTJpk/AdQufL5RFoqgAQCAdRgBAgAA1iEAAQAA6xCAAACAdQhAAADAOgQgWG3z5s3i5+cn3bp1c7orACrRoEGDzJ38i5ZGjRpJ165dZffu3U53DV6CAASrzZs3T1544QX56quvzONPANQeGniysrLMkpaWJv7+/vLYY4853S14CQIQrHX+/HlZsWKFjBw50owALViwwOkuAahEeu+fsLAws7Rr107GjRtnngl28uRJp7sGL0AAgrVWrlwpcXFx0rJlS3n66afl/fffNw/SA1A7/8GzZMkSadGihZkOA3gYKqye/tLgUzRUnp2dLRs2bJCHHnrI6a4BqAT/8R//IfXq1TM/X7hwQcLDw81r13pKOOzA/wWw0vfffy/p6enSr18/s661AX369DGhCEDt8PDDD8vOnTvNop/3Ll26SFJSkmRmZjrdNXgBRoBgJQ06ly9floiICPdrOv2lNQOzZs2S0NBQR/sH4OYFBwebKa8i7733nvlsv/vuuzJt2jRH+wbnMQIE62jwWbRokfzhD39w/+tQl127dplAtGzZMqe7CKAK6OXwOv2Vm5vrdFfgBRgBgnW0BuDMmTMydOjQUiM9vXr1MqNDzz33nGP9A1A58vPz5dixY+Zn/czr6K4WQ3fv3t3prsELMAIE62jA6dSpk8dpLg1A27Zt42ZpQC2wZs0aU/isS3x8vGzdulVWrVrFhQ4wfFxc9wsAACzDCBAAALAOAQgAAFiHAAQAAKxDAAIAANYhAAEAAOsQgAAAgHUIQAAAwDoEIAAAYB0CEAAAsA4BCECVGjRokDz++OMlXjt58qT89Kc/NY8nyM7OdqxvAOxFAAJQrTT8PPLIIxIUFCR/+ctfPD6TDQCqGgEIQLU5deqUJCYmSkBAgKxdu9YdfmbMmCGtW7eW4OBgiYyMlFGjRpmndqv169eLj49PmUuRjRs3ygMPPGCClbbx4osvyoULF9zbo6KiSh378ssvu7fPmTNHYmJipG7dutKyZUtZvHhxib7r/rpPUlKSeY/o6Gj58MMP3dsPHTpk9tm5c6f7tQkTJpjX3nrrLfdr3333nTz66KPm3Iv60aBBg0r/uwZQPgIQgGpx+vRp6dSpk/j7+5vwU/xL39fXV95++2357//+b1m4cKH89a9/lVdeecVsS0hIkKysLLN89NFH5rWidV1URkaGdO3aVXr16iW7d++WFStWmED0/PPPl+jDb3/72xLHTpo0yby+evVqeemll+TXv/617NmzR0aMGCGDBw+WL7/8ssTxGmj0PXbt2iX9+/eXvn37yrfffuvxfI8cOWKCj4al4oYMGSKXLl2S//qv/zJ9KB6OAFQjfRo8AFSVgQMHuh588EFXu3btXHXq1HHdf//9rsuXL5d7zKpVq1yNGjUq9fqXX37p8vRra+jQoa7hw4eXeO3rr792+fr6unJzc816s2bNXH/84x89vl9CQoLr2WefLfHaU0895frVr37lXtf3fe6550rsEx8f7xo5cqT5+eDBg2afb775xqwPGDDA9Ovq9w0KCnItXbrUvT5//nxXaGhouX8fACofI0AAqtxXX30lhYWFZnrowIED8sYbb5TYvm7dOjM1dscdd0j9+vXlmWeeMSNGFy9erFD7OiKzYMECqVevnnvp0qWLec+DBw9e83gdxfnFL35R4jVdv3p0p0OHDqXWPY0A7dixw4wqTZ06tdS25s2bm20VPTcAVcO/itoFADetl0lLS5PGjRvLn/70J3n66aelW7du0qZNG1M789hjj8nIkSMlJSVFGjZsaKavhg4dKgUFBXLLLbdcs32tF9JpK637uVrTpk2luulUmtYXhYeHl9o2b948GThwoAl6Oj12+fJlCQwMrPY+ArZjBAhAldMCZw0/6qmnnpInnnhCBgwYYALO9u3bzUjNH/7wB7n//vslNjZWjh49el3t33PPPbJ3715p0aJFqUWLmq/lJz/5ianJKU7X77777hKvbdmypdS6Hlvcp59+Kvv27StRYF2cnmOPHj3k3nvvlW+++cbUJQGofowAAah2s2fPNvcBmjJlivTu3dsUBc+cOVO6d+9ugsc777xzXe29+uqrJlho0fOwYcPM1WQaiLTYetasWdc8fuzYsaYfP/vZz0yh9meffSZ//vOfzdRccatWrTLBpWPHjrJ06VJJT083IzrF6fSenktZI1dayK3TdRr8dHTq9ttvv65zBVA5GAECUO10muvdd9+V6dOnS15enrkMXn/WUKTBIjU19bra06m0DRs2mJEXvRReg8zEiRMlIiKiQsfrjRr/7d/+TX7/+99Lq1at5N///d9l/vz58tBDD5XYTwPb8uXLzfstWrRIli1bVmqUSEeddIrLE+2fBrQPPvjAkak5AP/HRyuhi60DADzQ+/Vo8fLVd7UGUDMxAgQAAKxDAAIAANahCBoAKoBqAaB2YQQIAABYhwAEAACsQwACAADWIQABAADrEIAAAIB1CEAAAMA6BCAAAGAdAhAAABDb/C9RFOC+PcXtFwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "sns.boxplot(x=\"Категория\", y=\"Баллы\", data=df)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "ae513fe0-4a43-4051-8c3f-d19006eaea6e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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KAAAAAGkdvG/ZskXmz58vx48fd6TO2H333Xfe2DYAAAAAqa02M3fuXKldu7ZJmVm4cKHpuPrHH3/Ir7/+Krly5UrJKgEAAACkRfD+7rvvyocffig//vijBAcHy0cffSR79+6Vtm3bSrFixVKySgAAAABpEbwfOnRImjdvbv7W4P369eumE+sbb7wh06ZNS8kqAQAAAKRF8J4nTx65evWq+btw4cKye/du8/fly5flxo0bKVklAAAAgLQI3uvVqyfLli0zfz/77LPy+uuvmxs3tW/fXp544gmP1zN27FhTrSY8PFzy588vrVq1kn379jnmX7x4UXr16iXlypUz5Sg1Jad3795y5cqVRNfbqVMncyXAeWjatGlKdhUAAACwdrWZjz/+WG7evGn+fueddyRr1qyybt06adOmjQwePNjj9axatUp69OhhAvi7d+/KoEGDpHHjxvLnn39K9uzZ5dSpU2b44IMP5MEHH5Rjx47Jq6++aqZ9++23ia5bg/UZM2Y4xqlBDwAAgIAM3vPmzev4O1OmTDJgwIAUPfmSJUtcxmfOnGla4Ldu3Wpa9ytUqCALFixwzC9durSMGTNGXnzxRRPsZ8mS8OZrsF6wYMEUbRcAAADgV3XeY2NjTZlILReptGW8ZcuWiQbUSbGnwzj/OHC3TM6cOZN8npUrV5ofApqf//jjj8vo0aPlvvvuS/G2AQAAAL6Wokhba7o//fTTcubMGZOPrsaNGyf58uUz5SO1xTy54uLipE+fPlKnTp0EHx8VFSWjRo2SV155JcmUmdatW0vJkiVNZRxNx2nWrJmsX79eMmfOfM/yt27dMoNddHR0srY9+vRRCUTXo06bf6+dOy4Xs2eTQN1/pE5qjz8AqcMxCARA8P7yyy/LQw89ZO6yqi3b6tKlS6ajqAbWmv+eXJr7rlVr1q5d63a+nky0PKW28A8fPjzRdbVr187xd8WKFaVSpUom5UZb4911qNWOsyNGjEj2NkdEREhYWDbZOD35j/UbQUGyY/Y4CWSpudqElB9/ALyDYxCwliCbzWZL7oO08osG7hrAO9PgWzufxsTEJGt9PXv2lB9++EFWr15tWsvj07KUTZo0kWzZssnixYslNDQ0uZtsrgpo6ky3bt08anUoWrSoI0UnMcePHzdXBAKVvm6B2hlYU8a0/8Xf3pkheYv99wpUoLl4fJ8sG9PZ9FOpWrVqitaRmuMPQOpxDALWkqImw/vvv1/Onj17T/B+7tw5KVOmjMfr0d8NWgpSc+e1Vdxd4K4nEQ3cNUBctGhRigL3kydPyoULF6RQoUJu5+u6UxqAavlK7ioLpFxqjj8AqccxCARAnXe9xKb11rVcowbGOujfmrOuue8acNuHpFJlZs2aJbNnzza13jWHXgd7y70+XktH6h1c//3vf5tx+zLaYdaufPny5geAunbtmvTt21c2bNggR48eleXLl5uOtPqjQn8EAAAAAAHV8v7UU0+Zf9u2bWtugKTs2TctWrRwjOs85yA7vilTpph/GzRo4DJd67Nr/vy2bdtk48aNZlr8Fv0jR45IiRIlzN96Yyd7pRrtkLpz50754osvzB1fIyMjzQ8A7ehKywIAAAACLnhfsWKFV548qXR7Deo9Scl3Xkbz8ZcuXeqV7QMAAAAsH7zXr1/f+1sCAAAAwPs570pz1TU1RVu9V61aZXLg9Q6pAAAAADJQy/uAAQNk2rRppnSj5qXPnTvX3FxJc9W1Ck3//v29v6UAAABAgMuU0lb3OXPmyJo1a+Tjjz+WiRMnynfffWc6oE6fPt37WwkAAAAgZS3v58+fNzXeixQpYuquV6tWzUx/7LHH5MSJE97eRgAAAAApbXmPiIhw3FV08ODBkj9/fvO31mPXeu0AAAAAMkjLe4cOHUwNdTVw4EDHdO24Wr16de9tHQAAAIDUBe96h1V3unfvbgYAAAAAGSR4d85917ubqnLlykm+fPm8tV0AAAAAvJHzrrntL730kkRGRkq9evXMoH936dJFbty4kZJVAgAAAEiL4P3NN980+e2LFi0yue86/PDDD2baW2+9lZJVAgAAAEiLtJkFCxbIt99+Kw0aNHBMe/LJJyUsLEzatm1r6r0DAAAAyAAt75oaU6BAgXuma8lI0mYAAACADBS816pVS4YNGyY3b950TIuJiZERI0aYeQAAAAAySNrMRx99JE2aNDF3WK1cubKZ9vvvv0tISIj88ssv3t5GAAAAACkN3itUqCAHDhyQr7/+Wvbu3WumtW/fXl544QWT9w4AAAAgg6TNXLhwQbJlyyZdu3aV119/XbJnz27qvW/ZssX7WwgAAAAg+cH7rl27pESJEqZjavny5WXHjh1So0YN+fDDD2XatGnSsGFD+f7775OzSgAAAABpEbz369dPKlasKKtXrzZlIp966ilp3ry5XLlyRS5duiTdunWT9957LzmrBAAAAJAWOe+bN2+WX3/9VSpVqmQ6qmpr+2uvvSaZMv33N0CvXr3k0UcfTc4qAQAAAKRFy/vFixelYMGC5u8cOXKYXPc8efI45uvfV69eTc4qAQAAAKRVh9WgoKBExwEAAABkkOC9U6dO0rp1azPoTZpeffVVx/hLL72UrHWNHTtWqlevLuHh4aYTbKtWrUzVGueWfk3FKVeunClBWaxYMendu7fJsU+MzWaToUOHSqFChczjGjVqZEpbAgAAAAETvHfs2NEE2bly5TLDiy++KJGRkY5xndehQweP17dq1Srp0aOHbNiwQZYtWyZ37tyRxo0by/Xr1838U6dOmeGDDz6Q3bt3y8yZM2XJkiXSpUuXRNc7fvx4mTRpkkydOlU2btxo0nv0plLOd4QFYF1XbtyWQ+euyfbjl+TQ+WtmHACAQJCsDqszZszw6pNrIO5Mg3P9AbB161apV6+euRnUggULHPNLly4tY8aMMT8a7t69K1myZHHb6j5x4kQZPHiwtGzZ0kz78ssvpUCBAqaMZbt27by6DwDS16nLMdJ/wU5ZcyDKMa1e2Qh5r00liczNTeIAAP4tRTdpSiv2dJi8efMmukzOnDndBu7qyJEjcubMGZMqY6dXBWrWrCnr169Pg60GkF60hT1+4K5WH4iSAQt20gIPAPB7yWp5T0txcXHSp08fqVOnjmlxdycqKkpGjRolr7zySoLr0cBdaUu7Mx23z4vv1q1bZrCLjo5O4V4ASK7kHH9R127fE7g7B/A6P1e24DTZTsBf8R0IWEuGaXnX3HfNa587d67b+Xoy0RtCPfjggzJ8+HCvPrd2nLXn7etQtGhRr64fgHeOv+ibdxJd19Uk5gO4F9+BgLVkiOC9Z8+esnjxYlmxYoUUKVLknvlaO75p06amKs3ChQsla9asCa7LXof+7NmzLtN13D4vvoEDB5p0HPtw4sSJVO8TAM8k5/jLGZrwsa/Ck5gP4F58BwLW4tO0Ge1cqqUgNSBfuXKllCxZ0m2Lu1aKCQkJkUWLFkloaGii69R1aJC+fPlyqVKlimMdWnWme/fubh+j69YBQPpLzvEXkSPYdE7VFJn4dLrOB5A8fAcC1pLJ16kys2bNktmzZ5tWdc1J1yEmJsYRdNtLR/773/824/ZlYmNjHespX768+QFgv2mU5s6PHj3aBPu7du0y5Su1pKXWkQdgXZrPrlVlNFB3puPj2lQi3x0A4Pd82vI+ZcoU82+DBg3uKUmpN4Patm2baTFXZcqUuaeqTIkSJczfemMn5xs39evXzwT82rH18uXLUrduXVOWMqlWewAZn5aDnNz+YdM5VXPcNVVGW9wJ3AEAgcDnaTOJ0aA+qWXcrUdb30eOHGkGAP5HA3WCdQBAIMoQHVYBAAAAJI3gHQAAALAIgncAAADAIgjeAQAAAIsgeAcAAAAsguAdAAAAsAiCdwAAAMAiCN4BAAAAiyB4BwAAACyC4B0AAACwCIJ3AAAAwCII3gEAAACLIHgHAAAALILgHQAAALAIgncAAADAIgjeAQAAAIsgeAcAAAAsguAdAAAAsAiCdwAAAMAiCN4BAAAAiyB4BwAAACyC4B0AAACwCJ8G72PHjpXq1atLeHi45M+fX1q1aiX79u1zWWbatGnSoEEDyZkzpwQFBcnly5eTXO/w4cPNss5D+fLl03BPAAAAAD8P3letWiU9evSQDRs2yLJly+TOnTvSuHFjuX79umOZGzduSNOmTWXQoEHJWvdDDz0kp0+fdgxr165Ngz0AAAAA0k8W8aElS5a4jM+cOdO0wG/dulXq1atnpvXp08f8u3LlymStO0uWLFKwYEEvbi0AAADgWxkq5/3KlSvm37x586Z6XQcOHJDIyEgpVaqUvPDCC3L8+HEvbCEAAAAQoC3vzuLi4kwre506daRChQqpWlfNmjVNK365cuVMysyIESPksccek927d5v8+vhu3bplBrvo6OhUPT8Az3H8Ab7FMQhYS4Zpedfcdw2u586dm+p1NWvWTJ599lmpVKmSNGnSRH7++WfT0XX+/PkJdpzNlSuXYyhatGiqtwGAZzj+AN/iGASsJUME7z179pTFixfLihUrpEiRIl5ff+7cueX++++XgwcPup0/cOBAk7JjH06cOOH1bQDgHscf4Fscg4C1+DRtxmazSa9evWThwoWmQ2rJkiXT5HmuXbsmhw4dkn/84x9u54eEhJgBQPrj+AN8i2MQsJZMvk6VmTVrlsyePdvkop85c8YMMTExjmV0fMeOHY5W8127dpnxixcvOpZ54okn5OOPP3aMv/3226YM5dGjR2XdunXyzDPPSObMmaV9+/bpvIcAAACAnwTvU6ZMMZfo9CZMhQoVcgzz5s1zLDN16lR5+OGHpWvXrmZcS0jq+KJFixzLaKt6VFSUY/zkyZMmUNcOq23btpX77rvP1JLPly9fOu8hAAAA4EdpM57cLVWHxGgLuzNvdHoFAAAAMpoM0WEVAAAAQNII3gEAAACLIHgHAAAALILgHQAAALAIgncAAADAIgjeAQAAAIsgeAcAAAAsguAdAAAAsAiCdwAAAMAiCN4BAAAAiyB4BwAAACyC4B0AAACwCIJ3AAAAwCII3gEAAACLIHgHAAAALILgHQAAALAIgncAAADAIgjeAQAAAIsgeAcAAAAsguAdAAAAsAiCdwAAAMAiCN4BAAAAi/Bp8D527FipXr26hIeHS/78+aVVq1ayb98+l2WmTZsmDRo0kJw5c0pQUJBcvnzZo3V/8sknUqJECQkNDZWaNWvKpk2b0mgvAAAAgAAI3letWiU9evSQDRs2yLJly+TOnTvSuHFjuX79umOZGzduSNOmTWXQoEEer3fevHny5ptvyrBhw2Tbtm1SuXJladKkiZw7dy6N9gQA4CtXbtyWQ+euyfbjl+TQ+WtmHAD8VRZfPvmSJUtcxmfOnGla4Ldu3Sr16tUz0/r06WP+XblypcfrnTBhgnTt2lU6d+5sxqdOnSo//fSTTJ8+XQYMGODVfQAA+M6pyzHSf8FOWXMgyjGtXtkIea9NJYnMHebTbQMAv895v3Llivk3b968KV7H7du3TfDfqFEjx7RMmTKZ8fXr13tlOwEAvqct7PEDd7X6QJQMWLCTFngAfsmnLe/O4uLiTCt7nTp1pEKFCileT1RUlMTGxkqBAgVcpuv43r173T7m1q1bZrCLjo5O8fMDSB6OP6RU1LXb9wTuzgG8zs+VLTjdt8tqOAYBa8kwLe+a+757926ZO3euTzrO5sqVyzEULVo03bcBCFQcf0ip6Jt3Ep1/NYn5+C+OQcBaMkTw3rNnT1m8eLGsWLFCihQpkqp1RURESObMmeXs2bMu03W8YMGCbh8zcOBAk7JjH06cOJGqbQDgOY4/pFTO0KyJzg9PYj7+i2MQsBafBu82m80E7gsXLpRff/1VSpYsmep1BgcHS7Vq1WT58uUuKTk6XqtWLbePCQkJMaUonQcA6YPjDykVkSPYdE51R6frfCSNYxCwlky+TpWZNWuWzJ4929R6P3PmjBliYmIcy+j4jh075ODBg2Z8165dZvzixYuOZZ544gn5+OOPHeNaJvKzzz6TL774Qvbs2SPdu3c35Sft1WcAANan+exaVSZ+AK/j49pUIt8dgF/yaYfVKVOmmH/1JkzOZsyYIZ06dXKUeRwxYoRjnr2EpPMyhw4dMh1V7Z577jk5f/68DB061AT/VapUMWUp43diBQBYm5aDnNz+YdM5VXPcNVVGW9wJ3AH4qyy+TptJyvDhw82QmKNHj94zTdNxdAAA+DcN1AnWAQSKDNFhFQAAAEDSCN4BAAAAiyB4BwAAACwiw9xhNSOx5+Jzlzkk5tq1a+bfKycPS9zdWAlEV88cc7wWnhwvWlUqKCgo0WU4/oC04cnxpzgGAd8df54IsnnSazTAnDx5kjvMAWlAbwCTVA1pjj/Ad8ef4hgEfHf8eYLg3Q29qdOpU6eS/JWkrRJ6gtO70QXiTS3Y/8De/5S8Bp60PHh6/FmBv3xG/GU/An1fPD2m/OkY9Mf33Z/58/sU7sXjibQZNzJlyiRFihTxePlAvyMd+x/Y++/t1yC5x58V+MtnxF/2Q7EvgXUM+uP77s94nxJHh1UAAADAIgjeAQAAAIsgeE+FkJAQGTZsmPk3ELH/gb3/itcgMF4ff9kPxb4EJl4ra+B98gwdVgEAAACLoOUdAAAAsAiCdwAAAMAiCN4BAAAAiyB4BwAAACyC4N0N7cOrd/miLy+Q/jj+AN/iGAQyNu6w6sbVq1clV65ccuXKFe7wBWTQ4+/48eNSvvwDEhNzQwJVlixZ5O7duxLIsmTNKnfv3JFAFRaWTfbu3SPFihXz2jr5DgQyNoJ3AJYUFRVlAveaLw2TnIVKSKCJPn1UNk4fIbNmzZIHHnhAAtGePXvkxRdfDPjPgB4L3gzeAWRsBO8ALE2DtrzFykmg0sC9atWqEsgC/TMAILCQ8w4AAABYBME7AAAAYBGWDN61M02fPn2kePHiEhYWJrVr15bNmzc75nfq1EmCgoJchqZNm/p0mwEAAICAzHl/+eWXZffu3fLVV19JZGSk6bDVqFEj+fPPP6Vw4cJmGQ3WZ8yY4XhMSEiID7cY/ubKjdsSde22RN+8IznDskpE9mDJlS3Y15sFAAD8nOWC95iYGFmwYIH88MMPUq9ePTNt+PDh8uOPP8qUKVNk9OjRjmC9YMGCPt5a+KNTl2Ok/4KdsuZAlGNavbIR8l6bShKZO8yn2wYAAPyb5dJmtKZxbGyshIaGukzX9Jm1a9c6xleuXCn58+eXcuXKSffu3eXChQs+2Fr4Y4t7/MBdrT4QJQMW7DTzAQAA0orlWt7Dw8OlVq1aMmrUKFMirUCBAjJnzhxZv369lClTxpEy07p1aylZsqQcOnRIBg0aJM2aNTPLZM6c+Z513rp1ywx2emc5wB1NlYkfuDsH8Dqf9Jnk4fgDfItjELAWy7W8K81119s2a367psdMmjRJ2rdvL5ky/Xd32rVrJ08//bRUrFhRWrVqJYsXLzYdWrU13p2xY8eau8nZh6JFi6bzHsEqNMc9MVeTmI97cfwBvsUxCFiLJYP30qVLy6pVq+TatWty4sQJ2bRpk9y5c0dKlSrldnmdHhERIQcPHnQ7f+DAgeY20PZB1wm4kzM0a6Lzw5OYj3tx/AG+xTEIWIvl0macZc+e3QyXLl2SpUuXyvjx490ud/LkSZPzXqhQIbfztfWeajTwRESOYNM5VVNk4tPpOh/Jw/EH+BbHIGAtlmx510B9yZIlcuTIEVm2bJk0bNhQypcvL507dzat8X379pUNGzbI0aNHZfny5dKyZUuTD9+kSRNfbzosTvPZtaqMBurOdHxcm0rkuwMAgDRlyZZ3vaynl/m0RT1v3rzSpk0bGTNmjGTNmtVUo9m5c6d88cUXcvnyZVMHvnHjxqaDKy0L8AYtBzm5/cOmc6rmuGuqjLa4E7gDAIC0ZsngvW3btmZwR0tGass8kJY0UCdYBwAA6c2SaTMAAABAICJ4BwAAACyC4B0AAACwCIJ3AAAAwCII3gEAAACLIHgHAAAALILgHQAAALAIgncAAADAIgjeAQAAAIsgeAcAAAAsguAdAAAAsAiCdwAAAMAiCN4BAAAAiyB4BwAAACyC4B0AAACwCIJ3AAAAwCII3gEAAACLIHgHAAAALILgHQAAALAIgncAAADAIgjeAQAAAIsgeAcAAAAsguAdAAAAsAiCdwAAAMAiCN4BAAAAiyB4BwAAACyC4B0AAACwCIJ3AAAAwCII3gEAAACLIHgHAAAALILgHQAAALAIgncAAADAIgjeAQAAAIsgeAcAAAAsguAdAAAAsAiCdwAAAMAiCN4BAAAAiyB4BwAAACyC4B0AAACwCIJ3AAAAwCII3gEAAACLsGTwfvXqVenTp48UL15cwsLCpHbt2rJ582bHfJvNJkOHDpVChQqZ+Y0aNZIDBw74dJsBAACAgAzeX375ZVm2bJl89dVXsmvXLmncuLEJ0P/66y8zf/z48TJp0iSZOnWqbNy4UbJnzy5NmjSRmzdv+nrTAQAAgMAJ3mNiYmTBggUmQK9Xr56UKVNGhg8fbv6dMmWKaXWfOHGiDB48WFq2bCmVKlWSL7/8Uk6dOiXff/+9rzcfAAAACJzg/e7duxIbGyuhoaEu0zU9Zu3atXLkyBE5c+aMaYm3y5Url9SsWVPWr1/vgy0GAAAAvCOLWEx4eLjUqlVLRo0aJQ888IAUKFBA5syZYwJzbX3XwF3pdGc6bp8X361bt8xgFx0dncZ7AcCO4w/wLY5BwFos1/KuNNdd02MKFy4sISEhJr+9ffv2kilTynZn7NixpnXePhQtWtTr2wzAPY4/wLc4BgFrsWTwXrp0aVm1apVcu3ZNTpw4IZs2bZI7d+5IqVKlpGDBgmaZs2fPujxGx+3z4hs4cKBcuXLFMeg6AaQPjj/AtzgGAWuxXNqMM60io8OlS5dk6dKlphNryZIlTZC+fPlyqVKliuMSoFad6d69u9v1aOu9DgDSH8cf4Fscg4C1WDJ410Bd02bKlSsnBw8elL59+0r58uWlc+fOEhQUZGrAjx49WsqWLWuC+SFDhkhkZKS0atXK15sOAAAABFbwrpf19DLfyZMnJW/evNKmTRsZM2aMZM2a1czv16+fXL9+XV555RW5fPmy1K1bV5YsWXJPhRoAAADASiwZvLdt29YMCdHW95EjR5oBAAAA8BeWDN4zgis3bkvUtdsSffOO5AzLKhHZgyVXtmBfbxYAAAD8GMF7Cpy6HCP9F+yUNQeiHNPqlY2Q99pUksjcYT7dNgAAAPgvS5aK9HWLe/zAXa0+ECUDFuw08wEAAIC0QPCeTJoqEz9wdw7gdT4AAACQFgjek0lz3BNzNYn5AAAAQEoRvCdTztD/lqNMSHgS8wEAAICUInhPpogcwaZzqjs6XecDAAAAaYHgPZm0HKRWlYkfwOv4uDaVKBcJAACANEOpyBTQcpCT2z9sOqdqjrumymiLO4E7AAAA0hLBewppoE6wDgAAgPRE2gwAAABgEQTvAAAAgEUQvAMAAAAWQfAOAAAAWATBOwAAAGARBO8AAACARRC8AwAAABZB8A4AAABYBME7AAAAYBEE7wAAAIBFELwDAAAAFpElPZ8sU6ZMEhQUlOD82NjY9NwcAAAAwFLSNXhfuHBhej4dAAAA4FfSNXhv2bKly/h3330nO3bskAoVKkjbtm3Tc1MAAAAAy/FZzvu4ceOkffv2smTJEunSpYuMGDHCV5sCAAAAWILPgvcvvvhCPv/8c9m0aZP88MMPMmPGDF9tCgAAAGAJPgveT506JY8++qj5W//966+/fLUpAAAAgCX4LHjXyjJZsvw35T5z5swSFxfnq00BAAAALCFdO6w+/PDDjlKRMTEx0qJFCwkODhabzZaemwEAAABYUroG761atUqw8ozzPAAAAAA+Dt6HDRuWnk8HAAAA+JV0Dd6jo6MTnZ8zZ8502xYAAADAatI1eM+dO7cj592Z5rzrdO3ECgAAACADBO/q22+/lbx586b30wIAAACWl+7Be506dSR//vzp/bQAAACA5aV78P7nn3/KhQsXJHv27FKwYEFTKhIAAABABrxJ0xNPPCEPPfSQlCxZ0gTwFStWlA8//DC9NwMAAACwnHRteT9y5IjpnHrnzh1TeebUqVOyadMmGTJkiNy9e1f69u2bnpsDAAAAWEq6Bu/Fixd3Ga9WrZq5y+r9998vI0eOJHgHAAAAMlLOuzvt2rUzqTQAAAAALHCTpjJlyqTnpgAAAACWw02aAAAAAIuw3E2aNMAfPny4zJo1S86cOSORkZHSqVMnGTx4sOOHgY5/8cUXLo9r0qSJLFmyJNXbDwAAAPiK5W7SNG7cOJkyZYoJzjVPfsuWLdK5c2fJlSuX9O7d27Fc06ZNZcaMGY7xkJCQVG87AAAA4EuWu0nTunXrpGXLltK8eXMzXqJECZkzZ44pOelMg3VdPwAAAOAvLHeTptq1a8vy5ctl//79Zvz333+XtWvXSrNmzVyWW7lypWnhL1eunHTv3t38YEjIrVu3TGda5wFA+uD4A3yLYxCwFsvdpGnAgAHmseXLl5fMmTObHPgxY8bICy+84JIy07p1a/MD4dChQzJo0CAT3K9fv948Jr6xY8fKiBEjvL6/AJLG8Qf4FscgYC2Wu0nT/Pnz5euvv5bZs2ebFvwdO3ZInz59TMfVjh07OurG22nLfqVKlaR06dKmNV5b/uMbOHCgvPnmm45x/XFQtGjRVO4tAE9w/AG+xTEIWIvlbtKkAb62vtsDdA3Ojx07ZloO7MF7fKVKlZKIiAg5ePCg2+Bd8+Pp0Ar4Bscf4Fscg4C1pHvOuztZs2aVqlWrerTsjRs3JFMm183WVJi4uLgEH3Py5EmT816oUKFUbysAAAAQEC3vmp+unVM19eX48eNy+/Ztl/kXL15Mch2aZqM57sWKFTOt9du3b5cJEybISy+9ZOZfu3bN5O61adPGVJvRnPd+/fqZO7hqrXcAAADAqtK15V2Dag20n3vuObly5YrJsdOOpdqSrjde8sTkyZPl73//u7z22mvywAMPyNtvvy3dunWTUaNGOVrhd+7cKU8//bTJpe/SpYvJrV+zZg2XBQEAAGBp6dryrh1NP/vsM1OjXYP19u3bm46k2qF0w4YNLjdZSkh4eLhMnDjRDO6EhYXJ0qVL02DrAQAAgABqeT9z5ozpYKpy5MhhWt/VU089JT/99FN6bgoAAABgOekavBcpUkROnz5t/tYW919++cX8vXnzZlJaAAAAgIwUvD/zzDPm7qiqV69e5uZMZcuWlQ4dOjg6nAIAAADIADnv7733nuNv7bSqN21at26dCeC1igwAAACADFjnXVNlfvzxRzl37pzkypXLV5sBAAAAWEa6tLxrTXatx37fffeZ8WXLlpmKM5rnrmUiP/jgA5kzZ448++yz6bE5AAAAgCWlS8u73uFUb9Bk9/7775sykZcvX5ZLly6ZOu3jx49Pj00BAAAALMsnaTN79uwxHVb1hkra8q5/HzhwwBebAgAAAFiGT4J3bXHPmzevYzxPnjxy9epVX2wKAAAAYBnpErwHBQWZIf40AAAAABmsw6rNZpNOnTo5bsR08+ZNefXVVyV79uxm/NatW+mxGQAAAIClpUvw3rFjR5fxF1988Z5l9EZNAAAAAHwcvM+YMSM9ngYAAADwaz67SRMAAACA5CF4BwAAACyC4B0AAACwCIJ3AAAAwCII3gEAAACLIHgHAAAALILgHQAAALCIdKnzDsD/XLlxW6Ku3Zbom3ckZ1hWicgeLLmyBft6swAA8GsE7wCS7dTlGOm/YKesORDlmFavbIS816aSROYO8+m2AQDgz0ibAZDsFvf4gbtafSBKBizYaeYDAIC0QfAOIFk0VSZ+4O4cwOt8AACQNgjeASSL5rgn5moS8wEAQMoRvANIlpyhWROdH57EfAAAkHIE7wCSJSJHsOmc6o5O1/kAACBtELwDSBYtB6lVZeIH8Do+rk0lykUCAJCGKBUJINm0HOTk9g+bzqma466pMtriTuAOAEDaIngHkCIaqBOsAwCQvkibAQAAACyC4B0AAACwCIJ3AAAAwCII3gEAAACLIHgHAAAALILgHQAAALAIgncAAADAIgjeAQAAAIsgeAcAAAAsguAdAAAAsAiCdwAAAMAiLBe8x8bGypAhQ6RkyZISFhYmpUuXllGjRonNZnMso38PHTpUChUqZJZp1KiRHDhwwKfbDQAAAARc8D5u3DiZMmWKfPzxx7Jnzx4zPn78eJk8ebJjGR2fNGmSTJ06VTZu3CjZs2eXJk2ayM2bN3267QAAAEBqZBGLWbdunbRs2VKaN29uxkuUKCFz5syRTZs2OVrdJ06cKIMHDzbLqS+//FIKFCgg33//vbRr186n2w8AAAAETMt77dq1Zfny5bJ//34z/vvvv8vatWulWbNmZvzIkSNy5swZkypjlytXLqlZs6asX7/e7Tpv3bol0dHRLgOA9MHxB/gWxyBgLZYL3gcMGGBaz8uXLy9Zs2aVhx9+WPr06SMvvPCCma+Bu9KWdmc6bp8X39ixY02Abx+KFi2aDnsCQHH8Ab7FMQhYi+WC9/nz58vXX38ts2fPlm3btskXX3whH3zwgfk3pQYOHChXrlxxDCdOnPDqNgNIGMcf4Fscg4C1WC7nvW/fvo7Wd1WxYkU5duyYaTno2LGjFCxY0Ew/e/asqTZjp+NVqlRxu86QkBAzAEh/HH+Ab3EMAtZiuZb3GzduSKZMrpudOXNmiYuLM39rCUkN4DUv3k7z97TqTK1atdJ9ewEAAICAbXlv0aKFjBkzRooVKyYPPfSQbN++XSZMmCAvvfSSmR8UFGRy4EePHi1ly5Y1wbzWhY+MjJRWrVr5evMBAACAwAnetZ67BuOvvfaanDt3zgTl3bp1MzdlsuvXr59cv35dXnnlFbl8+bLUrVtXlixZIqGhoT7ddgAAACCggvfw8HBTx12HhGjr+8iRI80AAAAA+AvL5bwDAAAAgYrgHQAAALAIgncAAADAIgjeAQAAAIsgeAcAAAAsguAdAAAAsAiCdwAAAMAiCN4BAAAAiyB4BwAAACyC4B0AAACwCIJ3AAAAwCII3gEAAACLIHgHAAAALILgHQAAALAIgncAAADAIgjeAQAAAIsgeAcAAAAsguAdAAAAsAiCdwAAAMAiCN4BAAAAiyB4BwAAACyC4B0AAACwCIJ3AAAAwCII3gEAAACLIHgHAAAALILgHQAAALAIgncAAADAIgjeAQAAAIsgeAcAAAAsguAdAAAAsAiCdwAAAMAisvh6A2BNV27clqhrtyX65h3JGZZVIrIHS65swb7eLAAAAL9G8I5kO3U5Rvov2ClrDkQ5ptUrGyHvtakkkbnDfLptAAAA/oy0GSS7xT1+4K5WH4iSAQt2mvkAAABIGwTvSBZNlYkfuDsH8DofAAAAaYPgHcmiOe6JuZrEfAAAAKQcwTuSJWdo1kTnhycxHwAAAClH8I5kicgRbDqnuqPTdT4AAADSBsE7kkXLQWpVmfgBvI6Pa1OJcpEAAABpiFKRSDYtBzm5/cOmc6rmuGuqjLa4E7gDAACkLYJ3pIgG6gTrAAAA6Yu0GQAAAMAiCN4BAAAAiyB4BwAAACyCnHc3bDab+Tc6OtrXmwL4lfDwcAkKCvLK8Xft2jXz75WThyXubqwEmqtnjjleh0A9V/EZSN5nwJPjT/EdCHifp8efJ4Js9qMUDidPnpSiRYv6ejMAv3PlyhXJmTNnostw/AG+O/4UxyDgu+PPEwTvbsTFxcmpU6eS/JWkrRJ6gjtx4oTX3hArYf8De/9T8hp40vLg6fFnBf7yGfGX/Qj0ffH0mPKnY9Af33d/5s/vU7gXjyfSZtzIlCmTFClSxOPl9QPmbx+y5GD/A3v/vf0aJPf4swJ/+Yz4y34o9iWwjkF/fN/9Ge9T4uiwCgAAAFgEwTsAAABgEQTvqRASEiLDhg0z/wYi9j+w91/xGgTG6+Mv+6HYl8DEa2UNvE+eocMqAAAAYBG0vAMAAAAWQfAOAAAAJNPq1aulRYsWEhkZacpAfv/990k+ZuXKlVK1alWTGlSmTBmZOXNmcp+W4B0AAABIruvXr0vlypXlk08+8Wj5I0eOSPPmzaVhw4ayY8cO6dOnj7z88suydOnSZD0vOe8AAABAKmjL+8KFC6VVq1YJLtO/f3/56aefZPfu3Y5p7dq1k8uXL8uSJUs8fi5a3t3Q3zN6ly9+1wDpj+MP8C2OQQSyW7dumc+/86DTvGH9+vXSqFEjl2lNmjQx05ODO6y6cfXqVcmVK5dcuXKFO3wB6YzjD/D9MRh2O0ruXojy9ab4lbDIx3y9CX7n7u2/PFruTtRhj9c59uMvZcSIES7TtHzl8OHDJbXOnDkjBQoUcJmm4/oDISYmRsLCwqzX8p5U4r+2AgwdOlQKFSpkdlB/vRw4cMBlmRIlSpjHOg/vvfdeOu8JAAAAMoS4WI+HgQMHmsYj50GnZSSZrJT4P378eJk0aZJMnTpVNm7cKNmzZzeXG27evOmy3MiRI+X06dOOoVevXum0BwAAAMhQYu96PGgVGL3q6zx466ZRBQsWlLNnz7pM03F9Dk9b3TNc2kyzZs3M4I62uk+cOFEGDx4sLVu2NNO+/PJLc7lBW+g14d8uPDzcvEAAAAAIbDZbnGQEtWrVkp9//tll2rJly8x0y7a8J1VeR3OFnBP9NS+2Zs2a9yT6a5rMfffdJw8//LC8//77cvfu3WR3TgCQPjj+AN/iGITfi4vzfEiGa9eumZKPOthjVf37+PHjZlzTbTp06OBY/tVXX5XDhw9Lv379ZO/evfLpp5/K/Pnz5Y033vDP4F0Dd+Uu0d8+T/Xu3Vvmzp0rK1askG7dusm7775rXqTEjB071vwQsA9FixZNo70AEB/HH+BbHIPwe7Y4z4dk2LJli2ko1kG9+eab5m/tn6k0ddseyKuSJUuaUpHa2q5p4v/85z/l888/NyngflHnPX69zHXr1kmdOnXk1KlTpsOqXdu2bc2y8+bNc7ue6dOnmyBefx0llLOkrQ7OZYC01UFPXlS7QEKu3LgtUdduS/TNO5IzLKtEZA+WXNmCfb1ZlsTxB/j2HOTuGCwQetuLWwtFtRnfVZu5fWybx+sMLl5VMroMlfOeGHsOuyb2OwfvOl6lSpUEH6dpNZo2c/ToUSlXrpzbZTSo91ZnBPi/U5djpP+CnbLmwP/KqNUrGyHvtakkkbk973CC/+L4A3x7DnJ7DN6mTCT8iC1j5Lx7i2XSZvRSgwbwy5cvd2kd0KoziSX6a+5RpkyZJH/+/Om0pfD31q74X5pq9YEoGbBgp5kPAGmFcxCQfLbYux4PVpChWt41teXgwYOOcXvif968eaVYsWLSp08fGT16tJQtW9YE80OGDDE14e2pNdpxVYP5hg0bmoozOq6dAF588UXJkyePD/cM/kIvU8f/0nT+8tT5pM8ASCucg4AUSGZHVL8P3jWI1pzzhGiv2uQk/mvgbaeJ/6pjx44yc+ZM0/FUa8G/8sorcvnyZalbt64sWbJEQkNDzXJ62U87q+pdsDR/T7dNg3f7eoDU0vzSxFxNYj4ApAbnICAF/CxtJtXBu7aGe0uDBg1MPfeE6I8EvQGTDu5UrVpVNmzY4LXtAeLLGZo10fnhScwHgNTgHASkgN491Y+kOnh//fXXXca3bt0qv//+u1SoUEFq1KiR2tUDGUpEjmDTMUwvT8en03U+AKQVzkFACvhZy7tXO6zOmDHDBOwDBgyQ2rVry9SpU725esDnNJdUKzrol6QzHR/XphK5pgDSFOcgIOPcpMlXvFrnXUs26p2kNMdc665rkfp9+/aJ1WgVG71RBXWmkVSNZc0v1cvU2trFl6Z3cPwBvj0H6TEYRqlIr6POu+/qvN/audTjdYZUSt4NkyxfbUbvItW8eXPzt/7rfEtYwJ/olyTBOgBf4RwEeM5mI+c9QXfu3JHg4P+eTLJmzWpujgQAAAD4jM0a6TDpFry3bt3a8ffNmzfl1VdflezZs0ucRfKGAAAA4Mfi/CsmTXXwrrmpdnozJGekzQAAAMCnbATv91SYAQAAADKkWP+6eZlXc94BAACADCWOlncXefPmTXT+xYsXU/sUAAAAQMqQNuPq8uXLMnHiRJfcdwAAACBDiCN4v0e7du0kf/783lgVAAAA4D1xBO8ugoKC5OrVqxIeHi5hYWHe2SoAAADAC2x+dpOmTKldgc1mk/vvv19y5MhhbsxUpEgRadGihSxcuNA7WwgAAACkVOxdz4dAaHlfsWKFCeD17qrR0dFy6tQp2bx5s7Rt21amTZsmnTt39s6WAgAAAMlF2oyr+vXru51etWpVmTBhAsE7AAAAfMdG8O6Rrl27SokSJdJq9QAAAEDSaHn3TPbs2aVVq1ZptXoAAAAgabS8u+ImTQAAAMiw4gjeXXCTJgAAAGRYsdaoIuMpbtIEAAAA/xXnXy3vmbx1k6aYmBjvbBEAAADgzZx3m4eDBXCTJgAAAPh3y3uch4MFcJMmAAAA+C+bNYJyT3GTJgAAAPivu3RY9Qg3aQIAAIDP2WziT1Kd854QbtIEAAAAf895/+STT0yDdWhoqNSsWVM2bdqU6PJaYr1cuXISFhYmRYsWlTfeeENu3ryZvi3v3377rcyfP1+OHz8ut2/fdpm3bds2bzwFAAAAkHxp2BF13rx58uabb8rUqVNN4K6BeZMmTWTfvn1uy6jPnj1bBgwYINOnT5fatWvL/v37pVOnTqZ6o6abp0vL+6RJk0xee4ECBWT79u1So0YNue++++Tw4cPSrFmz1K4eAAAAyJClIidMmGBSxTUWfvDBB00Qny1bNhOcu7Nu3TqpU6eOPP/886a1vnHjxtK+ffskW+u9Grx/+umnpqrM5MmTJTg4WPr16yfLli2T3r17y5UrV1K7egAAACBd0mZu3bplqic6DzrNHc022bp1qzRq1MgxLVOmTGZ8/fr1bh+jre36GHuwro3dP//8szz55JPpF7xrqoxuiNLcHb1hk/rHP/4hc+bMSe3qAQAAgJSLjfV4GDt2rOTKlctl0GnuREVFSWxsrMk+cabjZ86ccfsYbXEfOXKk1K1b19wfqXTp0tKgQQMZNGhQ+gXvBQsWlIsXL5q/ixUrJhs2bDB/HzlyxNR/BwAAAKzQ8j5w4ECTOeI86DRvWblypbz77rsmc0X7hX733Xfy008/yahRo9Kvw+rjjz8uixYtkocfftjk+2iPWe3AumXLFmndunVqVw8AAACknM3zXPaQkBAzeCIiIkIyZ84sZ8+edZmu49q47c6QIUNMdsrLL79sxitWrCjXr1+XV155Rd555x2TdpPmwbvmu8f9/168PXr0MJ1VNRn/6aeflm7duqV29QAAAECK2eLSJhNE+3pWq1ZNli9f7iiPrjGxjvfs2dPtY27cuHFPgK4/AMx2epixkurgXTfAeSPatWtnBgAAAMCfS0W++eab0rFjR3nkkUdMxUUtFakt6ZqNojp06CCFCxd25M23aNHCVKjRjBUtLXnw4EHTGq/T7UF8mgTv2ik1PDzc5fKAFqj/888/TZ3Khx56SLp3735PAj8AAACQrmxpF7w/99xzcv78eRk6dKjppFqlShVZsmSJIwbWwi7OjdyDBw82sbL++9dff0m+fPlM4D5mzJi067B69+5dk8dz+vRpM/7bb79JmTJlTJF6Dehz5MhhqsyULVvW0XnVU6tXrzY7EBkZaXbs+++/d5mvlxP0xSlUqJCpbKOleA4cOOCyjHaefeGFFyRnzpySO3du6dKli1y7di25uwkAADKgLTt2SY9+w6Th0y9IhTrNZPnqdb7epAxn+LC35cSxbXL1ykFZ+n9zpUyZkkk+pvurHeXg/g1yLfqQrFv7o1R/pIrL/E8/GSf79vxm1nn6r53y3YLpUq5caZdlPpwwUjZu+D+5fvWwbNn8i2QYd2M9H1JAU2SOHTtmSkpu3LjRtKg7d1CdOXOmYzxLliwybNgw0+IeExNjgnttANeYNc2Cd31STeTXJ1Rvv/22vPjii7J3716ZMWOGGfRvLYXz1ltvJWvdepmhcuXKZifcGT9+vLkplBbA1xcne/bs5i5WzreU1cD9jz/+MLXmFy9ebH4QaCcAAABgfTExN6VcmVLyzluv+XpTMqS+b78mPXu8JK/1HCC167aQ6zduyM+Lv060E+azzz4tH7w/TEaNniDVazaV33f+KT//9LXky3efY5lt23bKy13flAqVGsiTzZ83jaz/99Oce/K3Z86cK/O/+VGsWm3GCoJsKajnWK5cOZk/f74JtLUFfMeOHWaaMw3gNZ/HHuQne8OCgmThwoWODgC6mdoirz8I9AeD0vI9ellCf9Fonv2ePXvM3a02b95sco+UXrrQwvcnT540j/eEFuTXup66fm3BB5B+OP4A3x+DYbejxAq05f2jsUPkiXr/vd9MRhYW+Vi6PI+2uH848V8y4cN/mfGcOcPl1Mkd8tLLb8j8+YvcPkZb2jdv+V1e7zPYEYMdPbxZPvl0hox/332DasWKD8j2rf+R+8vXlsOHj7nMGzrkTXn66abySPXGkpbu3v7Lo+VuTPS8gEq2Pv993TKyFNV5r1WrlkmTURo8Hz169J5ltM67N794dX2aS+R8Fyv9gtdLE/a7WOm/etnBHrgrXV5/FWpLfULc3U0LQPrg+AN8i2PQf5QsWUwKFSogy39d65gWHX1VNm3aLo/WrOb2MXqjoKpVK8nyX9c4pmmDqa7j0UfdPyZbtjDp1OE5E7SfOHFKMrw4/2p5T1Hw3qdPH5k8ebJJkWnfvr2pVanB/IkTJ8wwd+5ck6rStm1br22o/U5Vid3FSv/Nnz//PWk+efPmTfBOVyr+3bSKFi3qte0GkDiOP8C3OAb9R8EC/42Bzp497zL97LkoKVjQNT6yi4jIa2Klc2ddr7acO3deChbI5zLt1W4d5fLF/RJ9+aA0adpQmj7ZXu7cuSMZXpzN88Ffg3ftSfvjjz+aA17L3WhvWQ3iS5QoYQYti6N13jVH3Qri301Lf4AASB8cf4BvcQxaV/v2z5hg2j5kzZrqCuCJmj3nO3mkRhNp+HhrOXDgsMyZPdXjGxr5vNqMzcPBAlL8Ljdo0ED2799vctu1RI79Rk158uSR0qVLm86k3mS/U5WWpdRqM3Y6rj8m7MucO3funuo4WoEmoTtdJfduWgC8i+MPyIDHoEVy3gPdjz/+YlJi7EJCgs2/BQrkkzNn/hcPFcgfITt+/8PtOqKiLppYKX+BCJfp+fPnkzPxWvA1BUeHgwePyIaN2yTq3J/SqlVTmTfvB8nIbCmsIuNXLe/OypcvL4899pjUr1/fDJUqVfJ64K5KlixpAnC9a5Wd5uVpLrvm4Cv99/Lly7J161bHMr/++qv5YeFctgcAAMDqrl27LocOHXUMf/65X06fPiuPN6zrWCY8PIfUqPGwbNj4v9jImaa9aCUZ58doh1Ud37DB/WPsy+gQEmyBxpc4/0qbSdvrK8mk9di17qVzJ1WtZKM568WKFTO59qNHjzY15DWY1ztSaQUZe0WaBx54QJo2bSpdu3Y15ST1A6m1N7USjaeVZgAAQMZ140aMHD/5v06Sf506K3v3H5JcOcOlUAJ53YFk0uTPZdDA3nLg4GE5evSEjBjeV06dOis//LDUscwvS+bJ9z/8n3w65b/1xz/86DOZ8e8PZeu2nbJ583bp3aurZM8eJjO/mOfoCNv22adl2bJVcj7qghQpHCn9+vUwZTv/b8n/GlVLly4hOXJklwIF8ktYWKhUrvyQma4/KnyaG2+zRjqMJYP3LVu2SMOGDV1uOav0trNaDrJfv36mFrx2htUW9rp165pSkKGhoY7HfP311yZgf+KJJ0yVmTZt2pja8AAAwPp27z0gL/Xq7xgfP3ma+bdls0YyZnDy7i/jj97/4FPJnj2bTP10vOTOnVN++22zNG/xoqkqZFeqVHHTUdXum28WSb6IvDJ86NtSsGA++f33P6T5Uy/KuXP/TZ+6efOW1K1TQ3r3elny5MklZ89GyZq1G+Sx+i3l/PkLjvVMm/q+1K//v7KdW///jZpKl60px46dFJ+Js0aLeprWefd31JkGfIfjD/AtK9V5t5L0qvMeSO56WOf9+vD2Hq8z+/A5ktFlqJZ3AAAAwKti6bB6jzVr1siLL75oOoxq2Uj11Vdfydq1/7tJAAAAAJDu4vyrw2qqg/cFCxZIkyZNJCwsTLZv3+7IqdJL3u+++643thEAAABIEVtcnMdDQATvWv1FK7t89tln5ha7dnXq1JFt27aldvUAAABAysX5V8t7qnPe9+3bJ/Xq1btnunY404owAAAAgM/EWSMoT7eWd71xknNtdjvNdy9VqlRqVw8AAACkrs67zcMhEIJ3vSHS66+/bu50qnfaOnXqlKm1/vbbb0v37t29s5UAAABACtjuxnk8BETazIABAyQuLs7cFOnGjRsmhSYkJMQE77169fLOVgIAAAAp4WdpM6kO3rW1/Z133pG+ffua9Jlr167Jgw8+KDly5PDOFgIAAAApFWeNFvV0v0lTcHCwCdoDxZUbtyXq2m2JvnlHcoZllYjswZIrW7CvNwsAAg7nYwCJouXdVcOGDU3re0J+/fVX8TenLsdI/wU7Zc2B/90+ul7ZCHmvTSWJzB3m020DgEDC+RhAkgjeXVWpUkUCrYUn/heFWn0gSgYs2CmT2z9Miw8ApAPOxwA8YbMRvLv48MMPXcZPnz4te/bskXLlyknhwoXF3+il2fhfFM5fGDqfLwsASHucjwF4xCJVZNKtVKSzxYsXm9rujRo1ktKlS8t3330n/kZzKhNzNYn5AADv4HwMwBO2OJvHQ8AF76NHj5aePXuaijPvvvuuDB8+XPxNztCsic4PT2I+AMA7OB8D8IgG5Z4OgRa8a6nIl156SbJlyyZdunSRAwcOiL+JyBFsOkO5o9N1PgAg7XE+BuCRuGQMgRa837p1y9ygSYWGhsrt27fF32j+pFYxiP+FoePj2lQivxIA0gnnYwCBmDaT6g6rb775puNvDdbHjBkjuXLlktjYWPFXWn5MqxhoZyjNqdRLs9rCwxcFAKQvzscAknTXGkF5ugXv27dvd/xdu3ZtOXz4sGO8Xr164q/0i4EvBwDwPc7HABJjlRb1dAveV6xY4Z0tAQAAALwtTvxKqoN3AAAAIKOy0fLuqnXr1onO98da7wAAALCIuLRd/SeffCLvv/++nDlzRipXriyTJ0+WGjVqJLj85cuX5Z133jEx8sWLF6V48eIyceJEefLJJ9On2ox2TrUPP/30k2TKlMllGgAAAOArtjjPh+SaN2+eKd4ybNgw2bZtmwnemzRpIufOnXO7vBZ3+dvf/iZHjx6Vb7/9Vvbt2yefffaZFC5c2OPnDLLZbF67lhAeHi6///67ucuqlUVHR5sfHleuXJGcOXP6enOAgMLxB/j+GAy7HeXrzfA7YZGP+XoT/M7d2395tFxUs/oerzPi/1Ylaxtq1qwp1atXl48//tiMx8XFSdGiRaVXr14yYMCAe5afOnWqaaXfu3evZM2a1fd13gEAAACr3qTp1q1b5ges86DTEmpF37p1qzRq1MgxTTNQdHz9+vVuH7No0SKpVauW9OjRQwoUKCAVKlSQd999N1kl1gneAQAA4LdsyUibGTt2rEv6tw46zZ2oqCgTdGsQ7kzHNf/dHS2pruky+riff/5ZhgwZIv/85z9l9OjR6ddhddKkSY6/7969KzNnzpSIiP/d7a53796pfQoAAAAgRZKTyz5w4ECXG5CqkJAQ8RZNq8mfP79MmzZNMmfOLNWqVZO//vrLpNJo3ny6BO8ffvih4++CBQvKV1995RgPCgoieAcAAIAlgveQkBCPg3VtrNYA/OzZsy7TdVxjYncKFSpkct31cXYPPPCAaanXNJzg4OC0D96PHDmS2lUAAAAAacMWlCar1UBbW86XL18urVq1crSs63jPnj3dPqZOnToye/Zss5zmx6v9+/eboN6TwF2R8w4AAAC/FXc3yOMhuTTFRks9fvHFF7Jnzx7p3r27XL9+XTp37mzmd+jQwaTi2Ol8re3++uuvm6Bdy6xrh1XtwOqpVLe8x88Lim/ChAmpfQoAAAAgRVJSv91Tzz33nJw/f16GDh1qUl+qVKkiS5YscXRiPX78uKOFXWkZyaVLl8obb7whlSpVMvXdNZDv379/+tV5b9iwoePvtWvXmssHYWFh/115UJD8+uuvYjXUmQZ8h+MP8C3qvKcN6rz7rs77X7Ue93idhddn/Lg11S3vK1ascLlJk+bxWP0mTQAAAPAPtjRsebdk8A4AAABkVLa4tOmw6isE7wAAAPBbcbEE7/fc5tXOXh5n9+7djmlPP/10ap8CAAAASBFa3uOx17W069atm+Nv7bCqt3/1tqtXr5rbyS5cuFDOnTsnDz/8sHz00UdSvXp1M79Tp06mZI+zJk2amN6/AAAACBy2VJVm8cPgXVvb09vLL79sWvf1bq6RkZEya9YsadSokfz555+m5I5q2rSpzJgxI01ubQsAAABrsPlZy7vlbtIUExMjCxYskPHjx0u9evWkTJkyMnz4cPPvlClTXIJ1vTWtfciTJ49PtxsAAADpz2YL8ngImA6reiepVatWmUL0t2/fdpnXu3dv8aa7d++aVJzQ0FCX6VpbXuvM261cuVLy589vgvbHH39cRo8eLffdd59XtwUAAAAZm41Ska62b98uTz75pNy4ccME8Xnz5pWoqCjJli2bCZ69HbxrLflatWrJqFGj5IEHHjB3sJozZ46sX7/etL7bU2Zat24tJUuWlEOHDsmgQYOkWbNmZpnMmTPfs85bt26ZwfkGFQDSB8cfkPGOwTDX9jHA0mLjLJdokqhU743e3rVFixZy6dIl0/q9YcMGOXbsmLnT6gcffCBpQXPd9cawmt+u6TGTJk2S9u3bO24/265dO1PlpmLFiqZD7eLFi2Xz5s2mNd6dsWPHmjs62ge9dS2A9MHxB/gWxyACIefd5uFgBUE2jYJTIXfu3LJx40YpV66c+Vtbt7VFXKd17NhR9u7dK2lFW/q1haBQoULy3HPPybVr1+Snn35yu2y+fPlM6oxzNZzEWh305MXt2YG0x/EHZLxjsECoawosUi8s8jFfb4LfuXv7L4+W21P2SY/X+cCBn8Xv02ayZs3qaPHWNBnNe9fgXX+9nzhxQtJS9uzZzaCt/kuXLjWdWN05efKkXLhwwQT57mjrPdVoAN/g+AMy4DF4O8pXmwN4nc0iLerpFrxrjXVNSSlbtqzUr19fhg4danLeNbWlQoUKkhY0UNcLBtraf/DgQenbt6+UL19eOnfubFrfR4wYIW3atDFVZjTnvV+/fiYfXmu9AwAAIHDEWaSKTLrlvL/77ruOFu0xY8aY6i7du3eX8+fPy7Rp0yQt6OX0Hj16mIC9Q4cOUrduXRPQ61UA7ZC6c+dOk/N+//33S5cuXUz+/Zo1a2jdAwAACDA2PysVmeqcd3+k+X6a9kPOLZD+OP4A3zLVZkib8Tpy3n2X876j+NMer7PKsUWS0Xm9do6mrfz6668m9x0AAADwJZuftbynOnjXdBVNm7FXmNF/GzVqZHLg9U6oAAAAgK/YbJ4PARG8DxgwwATreqMmzTN//vnn5erVq/LOO++YjqMAAACALzusxnk4BETOu95J9Y8//jB1mfXvHTt2yIMPPmhu1KQdSmNiYsRqyLkFfIfjD/D9MZg34gFfb4bfiTm1xteb4HeyRpTyaLnNhZ/xeJ3V/1oofl8q8ubNm5IjRw7JkiWLqeaid1lVoaGhcvs2N3kAAACA78RapEU93YJ3NWTIENPqrsG63sVUW81u3LjhjVUDAAAAKRZH8O6qXr16sm/fPvN37dq15fDhwy7zAAAAAF+xEby7WrlypXe2BAAAAPCyOPEvXkmbsTt58qT5t0iRIt5cLQAAAJAiNvGvlvdUl4qMi4uTkSNHmjz34sWLmyF37twyatQoMw8AAADwlTib50NAtLxrPfd///vf8t5770mdOnXMtLVr18rw4cNNJZoxY8Z4YzsBAACAZItNfVu1fwXvX3zxhXz++efmBk12lSpVksKFC8trr71G8A4AAACfiRP/kurg/eLFi+ZmTPHpNJ0HAAAA+IqNnHdXlStXlo8//vie6TpN5wEAAAC+bHmP83AIiJb38ePHS/PmzeU///mP1KpVy0xbv369nDhxQn7++WdvbCMAAACQIlYJytOt5b1+/fqyf/9+eeaZZ+Ty5ctmaN26tblx02OPPeadrQQAAABSmDbj6WAFXul+GxkZaTqmLliwwAyjR4820wAAAABfuhsU5PGQEp988omUKFFCQkNDpWbNmrJp0yaPHjd37lwJCgqSVq1apf9Nmi5dumTKRe7Zs8eMP/jgg9K5c2fJmzevN1YPAAAApEhalm+fN2+evPnmmzJ16lQTuE+cOFGaNGliMlDy58+f4OOOHj0qb7/9doqyVFLd8r569Wrza2PSpEkmiNdB/y5ZsqSZBwAAAPhjh9UJEyZI165dTaO1Nl5rEJ8tWzaZPn16go+JjY2VF154QUaMGCGlSpVK/+C9R48e8txzz8mRI0fku+++M8Phw4elXbt2Zh4AAADgK3FBQR4PyXH79m3ZunWrNGrUyDEtU6ZMZlyLtyRk5MiRplW+S5cuKdqfVKfNHDx4UL799lvJnDmzY5r+rZcQvvzyy9SuHgAAAEiXtJlbt26ZwVlISIgZ4ouKijKt6AUKFHCZruN79+51u/61a9eaVPMdO3ZISqW65b1q1aqOXHdnOo067wAAAPClu0GeD2PHjpVcuXK5DDrNG65evSr/+Mc/5LPPPpOIiIgUryfVLe+9e/eW119/3bTAP/roo2bahg0bTM/b9957T3bu3OlYtlKlSql9OgAAAMBjcckoATlw4ECTPeLMXau70gBcs03Onj3rMl3HCxYseM/yhw4dMh1VW7Ro8b9ti/tvpn2WLFlMJ9fSpUunffDevn1782+/fv3cztMSODabzfyrlxYAAACAjJg2E5JAiow7wcHBUq1aNVm+fLmj3KMG4zres2fPe5YvX7687Nq1y2Xa4MGDTYv8Rx99JEWLFvXoeVMdvGtHVQAAACAjikvDey9pK33Hjh3lkUcekRo1aphSkdevXzfVZ1SHDh2kcOHCJvVG68BXqFDB5fG5c+c2/8afnqbBe/HixVO7CgAAACBNxKXhurXi4vnz52Xo0KFy5swZqVKliixZssTRifX48eOmAo03Bdk0pyUVFi1alOj8p59+WqwmOjradFC4cuWK5MyZ09ebAwQUjj/A98dg3ogHfL0Zfifm1Bpfb4LfyRrhWY30GYVf9Hidnf+aJRldqlveNcdH89lV/N8B5LkDAADAl+6mYdqML6S6HV/vEBUeHi6jRo2SmJgYk6hvHwjcAQAA4K93WLVk8P7VV1+ZXrW//PKL3H///fL11197Z8sAAACAVLIFeT5YgVcy6LVMzsqVK02ZG73lq/a4Xb16tTdWDQAAAKRYHC3v93ZssQ+PP/64/Pbbb9KyZUt56qmnHDUvAQAAAF+I87PgPdUdVrU+pb3DqjPtvPrjjz+mdvUAAABAitnEv6Q6eF+xYoV3tgQAAADwsrsWyWVPt+C9ZMmS5nau7lrfAQAAAF+KE//ileD99OnTkj9/fu9sEQBLuHLjtkRduy3RN+9IzrCsEpE9WHJlC/b1ZvktXm8ASBnSZuJJ5Q1aAVjQqcsx0n/BTllzIMoxrV7ZCHmvTSWJzB3m023zR7zeAJBycX6WHOKVUpEnT56U48ePux3SwtWrV6VPnz5SvHhxCQsLk9q1a8vmzZtdflAMHTpUChUqZOY3atRIDhw4kCbbAgRiC3D8QFKtPhAlAxbsNPPhPbzeAJA6cVSbuVf16tXvmaYBtObBp8VdVl9++WXZvXu3uUFUZGSkzJo1ywTof/75pxQuXFjGjx8vkyZNki+++MKk9QwZMkSaNGli5oeGhnp9e4BAoqkb8QNJ54BS55PO4T283gCQOrF+ljjjleB948aNki9fPkkPMTExsmDBAvnhhx+kXr16Ztrw4cNNWcopU6bIqFGjZOLEiTJ48GBTb159+eWXUqBAAfn++++lXbt26bKdgL/SnOvEXE1iPpKH1xsAUidO/Euqg3dtXS9WrFi6dVi9e/euac2P34Ku6TFr166VI0eOyJkzZ0xLvF2uXLmkZs2asn79erfB+61bt8xgpzecAuBeztCsic4PT2J+fBx/6ft6A/FxDMLf2cS/ZLJah9Xw8HCpVauWaWE/deqUCeQ1bUYDc616o4G70pZ2Zzpunxff2LFjTYBvH7T0JQD3InIEm86S7uh0nZ8cHH/p+3oD8XEMwt/F+VnOe6qDd23pjohw/8WSVjTXXX80aH57SEiIyW9v3769ZMqUst0ZOHCgXLlyxTGcOHHC69sM+AvNr9YqJ/EDSh0f16ZSsvOvOf7S9/UG4uMYRCBUm4nzcAiItJlLly6Zqi/upvfq1cu0intb6dKlZdWqVXL9+nVzeU+ryjz33HNSqlQpKViwoFnm7NmzZrqdjlepUsXt+vQHgA4APKPlCSe3f9h0ltSca03d0BbglASSHH/p+3oD8XEMwt/F+VniTKpb3hs2bCi//fabyzTtTPrggw/KuXPnJC1lz57dBOj6Q2Hp0qWmg6pWl9EAfvny5Y7lNMDXTrWabgPAOzRwLJ0/h1Qplsf8SyCZtni9ASBlYpMxBETL+/vvvy9PPvmkzJ8/X2rUqCE9evSQn376yZRr7Natm6QFDdQ1baZcuXJy8OBB6du3r5QvX146d+5sOtBqDfjRo0dL2bJlHaUitaRkq1at0mR7AAAAkDHF+VnLexZv1FzPmTOntGnTRnLkyCGVKlWSXbt2mQo0aUVz8jRHT28OlTdvXvPcY8aMkaxZ/1t1oV+/fial5pVXXpHLly9L3bp1ZcmSJdR4BwAACDA28S9eqfPetm1bUwXm73//uxnSMnC3P58OCdHW95EjR5oBAAAAgStO/Euqg/c333zT8bd2CO3evbusW7fOtIirCRMmpPYpAAAAgBQhbSae7du3O/4ODg42dz09duyYGbQFHAAAAPAVm/iXVAfvK1as8M6WAAAAAF4W62fhe6pLRdpp1RetAhMTE+OTO68CAADrGT7sbTlxbJtcvXJQlv7fXClTpmSSj+n+akc5uH+DXIs+JOvW/ijVH3G9j8unn4yTfXt+M+s8/ddO+W7BdClXrrTLMh9OGCkbN/yfXL96WLZs/kUC2ZYdu6RHv2HS8OkXpEKdZrJ89TrxJ3HcYdXVhQsX5IknnpD777/flIw8ffq0md6lSxd56623vLGNAADAD/V9+zXp2eMlea3nAKldt4Vcv3FDfl78daI3jXr22aflg/eHyajRE6R6zaby+84/5eefvpZ8+e5zLLNt2055ueubUqFSA3my+fMmjff/fppzz53YZ86cK/O/+VECXUzMTSlXppS889Zr4q8573EeDgERvL/xxhumROPx48clW7Zsjul6x1MtzwgAAOBO714vy7tjP5Iff/xFdu3aI506vy6RkQWkZcsmCT7mjde7yuf/ni1ffDlf9uw5IK/1GCA3bsRI507tHMt8/u+vZc3ajXLs2EnZvmO3DB02XooVKywlShT933reHCpTpn4hR44ck0D3WK3q0vuVjtKofh3xR7ZkDAERvP/yyy8ybtw4KVKkiMt0vUGSdloFAACIr2TJYlKoUAFZ/utax7To6KuyadN2ebRmNbeP0cbCqlUryfJf1zimaZquruPRR90/Jlu2MOnU4Tk5fPiYnDhxKg32BBldHC3vrvRmSM4t7nYXL15M9LIXAAAIXAUL5Df/nj173mX62XNRUrDgf+fFFxGRV7JkySLnzka5TD937rwULJDPZdqr3TrK5Yv7JfryQWnStKE0fbK93Llzx+v7gYwvjpx3V4899ph8+eWXjnHNK4uLi5Px48dLw4YNU7t6AADgB9q3f8YE0/Yha1av3CcyQbPnfCeP1GgiDR9vLQcOHJY5s6fSqBjA1WZiPRysINVHjgbp2mF1y5Ytcvv2benXr5/88ccfpuX9t99+885WAgAAS9O8dk2JsQsJCTb/FiiQT86cOeeYXiB/hOz4/Q+364iKuih3796V/AUiXKbnz59PzsRrwdcUHB0OHjwiGzZuk6hzf0qrVk1l3rwfvLxnyOhsFgnK063lvUKFCrJ//36pW7eutGzZ0qTRtG7d2ty8qXRp17JMAAAgMF27dl0OHTrqGP78c7+cPn1WHm9Y17FMeHgOqVHjYdmwcavbdWjai1aScX6MXvHX8Q0b3D/GvowOIcG0vAeiuDROm/nkk0+kRIkSEhoaKjVr1pRNmzYluOxnn31mslby5MljhkaNGiW6vDteuWaVK1cueeedd7yxKgAAECAmTf5cBg3sLQcOHpajR0/IiOF95dSps/LDD0sdy/yyZJ58/8P/yadTZprxDz/6TGb8+0PZum2nbN68XXr36irZs4fJzC/mOTrCtn32aVm2bJWcj7ogRQpHSr9+PUw5xP9bstyx3tKlS0iOHNmlQIH8EhYWKpUrP2Sm64+KQMuN12o9x0/+rzPvX6fOyt79hyRXznAplED/AyuJS8N7D82bN0/efPNNmTp1qgncJ06cKE2aNJF9+/ZJ/vz3vnYrV66U9u3bS+3atU2wr0VfGjdubLJWChcunH7B+6VLl+Tf//637Nmzx4w/+OCD0rlzZ8mbN683Vg8AAPzQ+x98KtmzZ5Opn46X3Llzym+/bZbmLV6UW7duOZYpVaq46ahq9803iyRfRF4ZPvRtKVgwn/z++x/S/KkX5dy5/3ZivXnzltStU8OUocyTJ5ecPRsla9ZukMfqt5Tz5y841jNt6vtSv35tx/jW/3+jptJla5oSk4Fk994D8lKv/o7x8ZOnmX9bNmskYwZb/549tjRc94QJE6Rr164m7lUaxP/0008yffp0GTBgwD3Lf/311y7jn3/+uSxYsECWL18uHTp08Og5g2ypvBXq6tWrpUWLFqb1/ZFHHjHTtm7dKpcvX5Yff/xR6tWrJ1YTHR1t9ufKlSuSM2dOX28OEFA4/gDfH4N5Ix7w9Wb4nZhT/ytvCe/IGlHKo+XaF2/l8TrnHPve42W1r6dWXPz222+lVav/PUfHjh1NHPzDD0n3r7h69appof/mm2/kqaeeSp+W9x49epgbMk2ZMkUyZ85spsXGxsprr71m5u3atSu1TwEAAACkSHJy2fWqj/OVH6VVitxVKoqKijIxb4ECBVym6/jevXs9er7+/ftLZGSkyX1Ptw6rBw8elLfeessRuCv9W/N/dB4AAABghZs0jR071lz9dR50Wlp47733ZO7cubJw4UKT/+6pVLe8V61a1eS6lytXzmW6TqtcuXJqVw8AAACkS6nIgQMHmgZoZwndHyAiIsI0WJ89e9Zluo4XLFgw0ef54IMPTPD+n//8RypVqiTJkergvXfv3vL666+bVvZHH33UTNuwYYMpm6MbtXPnTseyyd04AAAAIL3SZkISSJFxJzg4WKpVq2Y6m9pz3vVGpTres2fPRO+RNGbMGFm6dKmjv2i6Bu9a7kbpzZnczdO6qtonVv/VvCAAAAAgvdjSsFSkttJrB1UNwmvUqGFKReo9j+zVZ7SCjJaAtKfeaGnIoUOHyuzZs01t+DNnzpjpOXLkMEO6BO9HjhxJ7SoAAACANHE3DYtFatGW8+fPm4BcA/EqVarIkiVLHJ1Yjx8/Lpky/a+LqRZ40So1f//7313WM2zYMBk+fHj6lIr0R5SqA3yH4w/wLUpFpg1KRfquVORTxZp7vM7Fx3+SjM4rN2nSu0hNnjzZcZOmBx54QHr16nVPJ1YAAAAgPcWl6W2a0l+qS0XqXaEqVKhgbsyk1WV02LZtm5mm8wAAAABfsdlsHg9WkOqWd+2oqmV1Ro4ceU/ujs5r06ZNap8CAAAASPNqMwHR8n769GnTkza+F1980cwDAAAAfFnn3ebhfwERvDdo0EDWrLm3E8batWvlscceS+3qAQAAgBSLtcV5PARE2szTTz8t/fv3Nznvzjdp+uabb2TEiBGyaNEil2UBAACA9BJnkRZ1T6W6VKRz7cpEn8hCN2miVB3gOxx/gG9RKjJtUCrSd6UiGxRp5PE6V578j/h9y7veBhYAAADIiOIsUkUmXeu8AwAAABmRTfxLqjusqlWrVkmLFi2kTJkyZtDcdnedWAEAAID0dFfiPB4CInifNWuWNGrUSLJlyya9e/c2Q1hYmDzxxBMye/Zs72wlAAAAkALcpCmeMWPGyPjx4+WNN95wTNMAfsKECTJq1Ch5/vnnU/sUAAAAQIr4W7WZVLe8Hz582KTMxKepM0eOHEnt6gEAAIAUs3GTJldFixaV5cuX3zP9P//5j5kHAAAA+IqNtBlXb731lkmT2bFjh9SuXdtM++2332TmzJny0UcfeWMbAQAAgBQhbSae7t27y9y5c2XXrl3Sp08fM+zevVvmzZsn3bp1E2/TGz0NGTJESpYsaTrGli5d2uTWO/9a6tSpk7kplPPQtGlTr28LAAAAMrZYW5zHQ8DUeX/mmWfMkB7GjRsnU6ZMkS+++EIeeugh2bJli3Tu3NnckVGvANhpsD5jxgzHeEhISLpsHwAAADIOm5+1vKc6eNdbmGvg7M7nn38uL7/8snjTunXrpGXLltK8eXMzXqJECZkzZ45s2rTJZTkN1gsWLOjV5wYAAIC1xFkklz3d0mbq168v58+fd5l28uRJadKkiUlv8TbNq9cOsvv37zfjv//+u6xdu1aaNWvmstzKlSslf/78Uq5cOZPac+HChQTXeevWLYmOjnYZAKQPjj/AtzgG4e9sVJtxValSJalTp46cOHHCjH/22WcmneW+++4zue/eNmDAAGnXrp2UL19esmbNKg8//LDJs3/hhRdcUma+/PJLE+Rrmo3eAVaDe82Xd2fs2LHm6oF9oEoOkH44/gDf4hhEILS8x3k4WEGQzQt1cXr16iU//PCDaeXWjquffvqptG7dWtKCdo7t27evvP/+++ZHgla50eBdbwrVsWPHBGvRa8dWLV+pd36NT1sddLDTVgc9eWlKUM6cOdNkPwD8F8cfkPGOwRKlavp0m/xRzKk1vt4Ev5M1opRHy5XPX93jde49t1kCosPq5MmTza91/fX+888/m5SZtKKBu731XVWsWFGOHTtmnjuh4L1UqVISEREhBw8edBu8a348HVoB3+D4A3yLYxD+LtYiVWTSLXhftGiR+bdGjRry+OOPy3PPPWfqu+fJk8dxp1VvunHjhmTK5JrtkzlzZomLS/iN0Rx8zXkvVKiQV7cFAAAAGVucRdJh0i14b9Wq1T3TtHSj0vrqCeWZp1SLFi1kzJgxUqxYMZM2s337dpMy89JLL5n5165dkxEjRkibNm1MtZlDhw5Jv379pEyZMml6RQAAAAAZj80iHVHTLXhPrMU7LWiKjlaxee211+TcuXMSGRlpbgY1dOhQRyv8zp07TR34y5cvm/mNGzc2N3LisiAAAEBgsflZ2oxXOqz6G+2sozn8dJgD0h/HH+D7YzBvxAO+3gy/Q4dV33VYLX5fJY/XeezCTvHbUpG//vqrPPjgg27rweqXrqa0rF69OrXbBwAAAKSqw2qsh4MVpDh4nzhxonTt2tVty5i2mmkqy4cffpja7QMAAABSzGazeTz4dfCudzbVmyElRPPMt27dmtLVAwAAAKkW52c3aUpxh9WzZ8+aO5wmuOIsWeT8+fMpXT0yuCs3bkvUtdsSffOO5AzLKhHZgyVXtmBfbxYCBJ8/AICnqDbz/xUuXFh2795tSjC6oxVfqKvun05djpH+C3bKmgNRjmn1ykbIe20qSWTuMJ9uG/wfnz8AQHJYJR3GUylOm3nyySdNycabN2/eMy8mJkaGDRsmTz31VGq3DxmwxTN+4KRWH4iSAQt2mvlAWuHzBwBIrjixeTz4dfA+ePBguXjxotx///0yfvx4+eGHH8wwbtw4KVeunJn3zjvveHdr4XOaqhA/cHIOoHQ+kFb4/AEAkis2Ls7jISU++eQTKVGihISGhkrNmjVl06ZNiS7/zTffSPny5c3yFStWlJ9//jl9gvcCBQrIunXrpEKFCjJw4EB55plnzDBo0CAzbe3atWYZ+BfNMU7M1STmA6nB5w8AkJGqzcybN0/efPNNk3Gybds2qVy5sjRp0sTcSNQdjZ3bt28vXbp0ke3bt0urVq3MoKnoaR68q+LFi5tfC1FRUbJx40bZsGGD+VunlSxZMjWrRgaVMzThTsoqPIn5QGrw+QMAZKS0mQkTJpjS6Z07dzb3P5o6dapky5ZNpk+f7nb5jz76yFRr7Nu3rzzwwAMyatQoqVq1qnz88cfpE7zb5cmTR6pXry41atQwf8N/ReQINp0D3dHpOh9IK3z+AABp2fJ+69YtcwNS50GnuXP79m1TFr1Ro0aOaZkyZTLj69evd/sYne68vNKW+oSWT7PgHYFDy/FpVY/4AZSOj2tTiXJ9SFN8/gAAaVnnfezYseZmo86DTnNHs01iY2PvSRPX8TNnzrh9jE5PzvJeLRWJwKXl+Ca3f9h0DtQcY01V0BZPAiekBz5/AIC0qvOu/Tg1h91ZSEiIZCQE70gRDZQIluArfP4AAJ5KThUZDdQ9DdYjIiIkc+bM5salznS8YMGCbh+j05OzvDukzQAAAMCvW95tHv6XHMHBwVKtWjVZvny5Y1pcXJwZr1WrltvH6HTn5dWyZcsSXN4dWt4BAADgt2xpeIdVTbHp2LGjPPLII6Zwy8SJE+X69eum+ozq0KGDFC5c2JE3//rrr0v9+vXln//8pzRv3lzmzp0rW7ZskWnTpnn8nATvAAAA8FtpGbw/99xzcv78eRk6dKjpdFqlShVZsmSJo1Pq8ePHTQUau9q1a8vs2bPNzU713khly5aV77//3twjyVNBtrTcI4u6cuWK5M6dW06cOCE5c+b09eYAfiM8PFyCgoISXYbjD/Dd8Wc/Bu/L92C6bFMgiTm1xteb4HdigiM8+lxnCS7s8Trv3v5LMjpa3t24evWq+bdo0aK+3hTAr2hQkFRAzvEH+O74sx+DsXdOpcs2BZLgfKV9vQkB+7m+a4GAPDloeXdDOxucOnUqyV9zWrhfA4xAbSFk/wN7/1PyGnjSQuLp8WcF/vIZ8Zf9CPR98fSYssox6E/vZUZhxdc0PIN/TtMCLe9uaG5SkSJFPF5eP+BW+ZCnBfY/sPff269Bco8/K/CXz4i/7IdiX/znGPSn9zKj4DXN2CgVCQAAAFgEwTsAAABgEQTvqaB34Bo2bFiGu21uemH/A3v/Fa9BYLw+/rIfin3xH4G+/2mB19Qa6LAKAAAAWAQt7wAAAIBFELwDAAAAFkHwDgAAAFgEwXsSxo4dK9WrVzc3AcifP7+0atVK9u3b57LMtGnTpEGDBqYmqt4o4PLlyxIo+3/x4kXp1auXlCtXTsLCwqRYsWLSu3dvc8ezQPoMdOvWTUqXLm1eg3z58knLli1l7969Eij7b6ddaJo1a2aOg++//14CQWxsrAwZMkRKlixp3n/9HIwaNcq8Fnb699ChQ6VQoUJmmUaNGsmBAwfEivvSqVMn8/46D02bNpWMRu8S2qdPHylevLjZl9q1a8vmzZst9554si8Z6T2Jvy333Xef2ZadO3f6ZHv8mbv3XQcr1ehHyhC8J2HVqlXSo0cP2bBhgyxbtkzu3LkjjRs3luvXrzuWuXHjhjk5DRo0SAJt//UufDp88MEHsnv3bpk5c6YsWbJEunTpIoH0GahWrZrMmDFD9uzZI0uXLjWBgS6jwVAg7L/dxIkTA+5Od+PGjZMpU6bIxx9/bN5/HR8/frxMnjzZsYyOT5o0SaZOnSobN26U7NmzS5MmTeTmzZtitX1Rer47ffq0Y5gzZ45kNC+//LL5vH711Veya9cu85nVAP2vv/6y1Hviyb5ktPfEeVuWL18uWbJkkaeeespn2+PP4r/vOmzfvt3Xm4W0ptVm4Llz585pE5Rt1apV98xbsWKFmXfp0iVbIO6/3fz5823BwcG2O3fu2AL1Nfj999/NMgcPHrQFyv5v377dVrhwYdvp06fN/IULF9oCQfPmzW0vvfSSy7TWrVvbXnjhBfN3XFycrWDBgrb333/fMf/y5cu2kJAQ25w5c2xW2hfVsWNHW8uWLW0Z2Y0bN2yZM2e2LV682GV61apVbe+8846l3pOk9iWjvSfutmXNmjXmnKDnDrVz505bw4YNbaGhoba8efPaunbtart69apj+f79+9sKFSpky5o1qy0yMtLWr18/W2xsrMv3rL4eFStWNO9ZzZo1bbt27XI8PioqytauXTvz2LCwMFuFChVss2fPdtkmXd+4ceNspUuXNt9XRYsWtY0ePdrM0/UnNOjzZxSevO/62pUtW9a8DiVLlrQNHjzYdvv2bZdljhw54nZfnWOZpJYZNmyYrXLlym63Qb8LCDe9i5b3ZLKng+TNm1cCkSf7r8toCpG2tgTia6At0toKr6kHRYsWlUDYf7369Pzzz8snn3wiBQsWlECiKQzaurh//34z/vvvv8vatWtN+pA6cuSInDlzxrSU2uXKlUtq1qwp69evFyvti93KlStNCpWmy3Xv3l0uXLggGcndu3fNVa/Q0FCX6ZpyovtjpfckqX3J6O/JtWvXZNasWVKmTBmTQqPnR73CkSdPHpP6880338h//vMf6dmzp+MxemVh8eLFcvDgQfn8889Naqquw1nfvn3ln//8p1mHpiq2aNHCXBVUevVEr4b+9NNP5orwK6+8Iv/4xz9k06ZNjscPHDhQ3nvvPZMm9ueff8rs2bOlQIECZp5zK7ZasGCBY1yPESvRdEe9Iq77+NFHH8lnn30mH374ocsy9rQ4fR90H3V/4/NkGaQjL/8Y8Gv6S11bpurUqeN2vr+3vCe1/+r8+fO2YsWK2QYNGmQLtNfgk08+sWXPnt18BsqVK+eXre4J7f8rr7xi69Kli2M8kFre9TXRlsKgoCBblixZzL/vvvuuY/5vv/1mXo9Tp065PO7ZZ5+1tW3b1malfVHaMv3DDz+Y1lN9jx944AFb9erVbXfv3rVlJLVq1bLVr1/f9tdff5lt++qrr2yZMmWy3X///ZZ6T5Lal4z2nmhrsF4p0HOh/Xyorehbt24186dNm2bLkyeP7dq1a47H/PTTT2Z/zpw5c8/6Dh8+bB4/ffp0l+/ZuXPnOpa5cOGCaVmeN29egtul56233nrL/B0dHW1a7D/77LMk9yejtbYn9lrrlc9GjRrZli5dmuBj9GpTtWrVXKbt27fP7Ofu3bsTjGWSWoaW9/Tln02jaUTzfvVXvHNrRyBJav+jo6OlefPm8uCDD8rw4cMl0F6DF154Qf72t7+ZVgntA9C2bVv57bff7mkx87f9X7Rokfz6668Bm2c5f/58+frrr03L3UMPPSQ7duwwnQsjIyOlY8eO4m/70q5dO8fyFStWlEqVKpmOrdry+8QTT0hGofnhL730khQuXFgyZ84sVatWlfbt28vWrVvFapLal4z2njRs2ND0nVCXLl2STz/91Fy90ZZv7UtRuXJl08fArk6dOhIXF2c6wttbv999910ZPXq0xMTEmFb5Dh06uDxHrVq1HH/rVUC94qDrVnqlQh+vn2ftF3D79m25deuWZMuWzczX5XQ8I31evfFaawEJ7a+i38N6jtYrSfPmzTN9Ow4dOmSuguiVHL0yHv+7Wzm/J/F5soz2x8iRI4f5jNrPGQMGDPDSnsIZaTMe0pOHXsZbsWJFQPbkTmr/tRqCdpzRS3QLFy6UrFmzSqC9BnrZvWzZslKvXj359ttvTbUZfS38ff81cNcvhty5c5tUKXu6VJs2bUwVJn+nl+/1C0oDKA2c9PL8G2+8Yar0KHsa0dmzZ10ep+MZLcUoqX1xp1SpUhIREWFSHDISDV61s7UGLCdOnDCBo6ZV6PZa6T1Jal8y4nuiAZ6myeiglao09UXTZTRlw1OvvvqqbNu2zaTLzJ07V1avXu3xY99//32TItK/f39zvtIfoZqqo0G8PeXIXzi/1jVq1JDp06dLSEiIqfalKWDaqPTkk0+ac7c2sLzzzjuO18FOi05kypQp0c++J8voDyh9rfXzqecRreak34XwPoL3JOhVMw1aNAjTIEXzmAOJJ/uvv8g1RzE4ONi0wvpTS3NKPwP6GB20dcff919P0loGTk/a9kFpXqXm/vs7zffXLzVn2vKkLYlKXy/9wtNccudjRiucOLceWmFf3Dl58qTJr9aSixk1uNFt0xZgrQSlZVyt9J4ktS9WeE+0ApV+rrQV/YEHHjB9KZyrVekVSp2vwZ9za3r58uVN8Fm3bt17cqy1+pWdvh7aT0PXbV+fvjYvvviiaeXXHzP2fhxKG1k0gHd+//2Fvo466NWHdevWmfKiGrA/8sgjZr+PHTt2z2O034C+1ol9d3uyjMYA+iNC30dtddfX3v59AO8ibcaDNAG9hPzDDz+YVmXt5GRvZbX/etdpOthbOfTSkS6rNc+t3rE1qf23B+76pa8tJDpuv7ymnYj0i9/qknoNDh8+bC5N6uug+6xfnNoRSudpi4e/778GQe5aY/TzHwg/drWj3JgxY8z+aqqJtm5NmDDBpDnYAxdNPdEUAP3y1NdEO8npZWWtmW+lfdGW3xEjRpirKvqe6xWXfv36mS9sbdnMSOwlWzWQ0HOzXlXQ4KNz586Wek+S2peM+J5oo4X9PKGBtaZy6Hbq50tbh4cNG2aCO02vPH/+vLlXiF7lsafMaJpN/fr1zY8VTf/QMpnaku5s5MiRpgOsPkaDU73SYH/v9D3VFl8NXrVjrH6G9aqKpnQqDUC1VV5fJw04NW1Ht+OPP/6wXJnjhF5r/e7R7+Ljx4+bKxd6BUQ78DpfDdYWeP3u0tdHP0PueLKMnX5GtbOw/nDQH8LaSfatt97y8h7D/mIjEQmVi5oxY4ZjGe2okdQy/rr/9k4r7gYtLeUPknoNtBNZs2bNbPnz5zelzYoUKWJ7/vnnbXv37rUFyjHg7jGB0mFVO7+9/vrrpqO2lr4rVaqUKeF369YtxzJamnDIkCG2AgUKmI5yTzzxhOkAZrV90bKFjRs3tuXLl8981osXL27K/LnraOhr2nlRt1/LAGpZyB49ephykFZ7T5Lal4z2nmgnSufzRHh4uOk8++233zqWSapU5JNPPmmLiIgw70uZMmVsY8aMMe+X83fOjz/+aHvooYfMa1KjRg1Tnte5A6uWUMyRI4c5L2t5xA4dOriUVdTO2VoaUl8vfd30Mx+/c7YVOqzGf621hKhzudO+ffva7rvvPvNaPPfcc7YPP/zQlitXLjNvy5Yt5nM1duxYRynO+J1RPVkmfhyknY+19KYeX4oOq94XpP/jdwwAAMjotBOudtLUVmbtZwMEInLeAQAAAIsgeAcAAAAsgrQZAAAAwCJoeQcAAAAsguAdAAAAsAiCdwAAAMAiCN4BAAAAiyB4BwAAgFfduXPH15vgtwjeAQAAkCo7duyQjh07yv333y958uSRnDlzypUrV3y9WX6J4B1e1alTJwkKCnIM9913nzRt2lR27tzp600DAlb849I+FClSxNebhjR25swZ6dWrl5QqVUpCQkKkaNGi0qJFC1m+fLmvNw1+dufbunXrSsGCBWXu3LmyefNmOXjwoOTKlcvXm+aXsvh6A+B/NFifMWOG44tj8ODB8tRTT8nx48d9vWlAwHI+Lu0yZ87ss+1B2jt69KjUqVNHcufOLe+//75UrFjRpDIsXbpUevToIXv37vX1JsIP6O2CunbtKhMnTpSXX37Z15sTEGh5h9dp647++tahSpUqMmDAADlx4oScP3/ezN+1a5c8/vjjEhYWZlrmX3nlFbl27Zrj8bp8ZGSkBAcHS+HChaV///4SFxfn+HWvLYY//fSTVKpUSUJDQ+XRRx+V3bt3Ox5/4cIFad++vXlstmzZzBfWnDlzXLZR1zd+/HgpU6aM2d5ixYrJmDFjzDx3LZT2QZ8fsPpxaR/y5cvnmK/HmV7u1mNGW2mHDBlyT86qBoPujovLly97vMzw4cPNecGd77//3iwL73jttdfM67lp0yZp06aNeX8feughefPNN2XDhg2O5XQZfe3tgViHDh3M+fXSpUuOZaZMmSKlS5c25+Vy5crJV1995fJcug5dplmzZubcrp+hb7/99p7PhbbK1q5d25y7K1SoIKtWrXJZj57LdR05cuSQAgUKyD/+8Q+JiopyzG/QoIH06dPHMf7555+bHyfbtm1L8LNnH3S+/TvE+TOrz+H8Gni6rTpeo0YNc2wVKlTIfHfdvXvXZVvtz62viX7ulyxZ4pivrdN/+9vfJCIiwrRQ169f3+xH/NfVvl0JvQYlSpQwgXP8q22tWrVK8DHOdLrOd/5+HDt2rJQsWdJsd+XKlV3ey/j0R+CxY8dMS3vx4sUd38tr1651LBMbGytdunRxrFM/Qx999NE967K/P86Dvr/JWaZTvH13pq+Tvl5WR/CONKVB+axZs0yQrIH69evXpUmTJiYfTk9c33zzjfznP/+Rnj17Oh7TuHFjWbx4sTkR6Il52rRpZh3O+vbtK//85z/NOjQA0cvA9kDj5s2bUq1aNRPg6xeB/jjQk7N+gdkNHDhQ3nvvPROg/PnnnzJ79mzzRaFOnz7tGNSCBQsc43oiB/xReHi4zJw50xwP+qX62WefyYcffuiyjP2G3HrM6vGgx0Z8niyDtHfx4kUTKGoLe/bs2e+ZHz8gsuvdu7esW7dOfvnlF3OeVgsXLpTXX39d3nrrLXNO7datm3Tu3FlWrFjh8lg9n+qPhN9//11eeOEFadeunezZs+eec7euZ/v27VKrVi1z7tYGF6UBtTbsPPzww7Jlyxaz/WfPnpW2bdu63db58+fLG2+8IYsWLZKqVaualCD7udp+vtd/7dN0fnxbt241j3cnsW3966+/5Mknn5Tq1aub/dUfLv/+979l9OjRLuvQFml9bn3d9AeA5oTbXb161YxrkKs/psqWLWvWqdN9SQP3L7/8UqZOnSp//PGHeY1ffPHFe3682GnDnH7/6g86fR309dIfKnq1z/49qj8INE1Pv/P1HDN06FAZNGiQeQ/dnT/27dtnHhv/R4mny/g9G+BFHTt2tGXOnNmWPXt2M+hHrFChQratW7ea+dOmTbPlyZPHdu3aNcdjfvrpJ1umTJlsZ86cuWd9hw8fNo+fPn26GV+xYoVZ59y5cx3LXLhwwRYWFmabN29egtvVvHlz21tvvWX+jo6OtoWEhNg+++yzJPdHn0ufE/Cn47Jw4cK2Ro0a2ZYuXZrgY95//31btWrVXKbt27fPHBO7d+92OR4vXbrk8TLDhg2zVa5c2e1zLly40CyL1Nu4caN5Lb/77rskl9Xl9LV/5513zGfjyJEjLvNr165t69q1q8u0Z5991vbkk0+6rOPVV191WaZmzZq27t27m791nbrMe++955h/584dW5EiRWzjxo0z46NGjbI1btzYZR0nTpwwj9PPlapfv77t9ddft/3888+2bNmyme8Pd+zPF39f4n8e69WrZ57X/hp4uq2DBg2ylStXzhYXF+dY5pNPPrHlyJHDFhsb67Kt9se/8cYbtrJlyybwLtjM48LDw20//vijy+tq3y475/Wq4sWL2z788MN7jvmWLVsm+BhnOl3nq5s3b5rXdd26dS7LdOnSxda+fXu3j7e/pl9//bXLvui+6mcqIT169LC1adPGZZqek3Rd9hhhxowZtly5ciVrmY7x9t2Zvk76elkdLe/wuoYNG5pe5zpoq4e2tOtlUL2spq0wegnOuSVIczL1V7n+irZ79913HZfvtSVHL+M601YQu7x585pLcPYWHr08N2rUKJMuo/P08qvmeNpz7nW5W7duyRNPPJEOrwaQ8Y7L7777zlzmb968uWzcuNHMnzdvnjkWNZ1GjxntqxK/n0p0dLT5111LbnKW0dQ5fQ5NFXjggQfMVTB4l7110lMff/yxSR3Uc2n8tAI9Z+pnw5mOx29Vdz4v28cTWyZLlizyyCOPOJbRFmxtzdfPhn0oX768mXfo0CHH4+xpQPoZq1mzpqSUpqMcPnzYtK67k9i26r863znNS18Tvdp88uRJx7RPP/3U7IemimjL9BdffOGYp1cVtGVeW9z1WNDqLPr4+MedpoE6vyZr1qy5Z1s17c15ma+//vqeZezbolfB9XX78ccf71lGr3jfuHHDpPM4r09b4p3fA3ecPyOZMmUyV6q1ld3uk08+MVfF9Wq5rlOvqrs7x+hj9fVKSLQHy+jVe30OvXqkMcf06dPFn9BhFV6nJ1RNk7HT1Bc9MelleE+9+uqr0rp1a3NJU/Px9G8NPjyhHbP0sr9eStMAXrdH13H79m0zP7EDHgiU41K/zDSI1wBGfzxrmsOIESPMj209XjXfV1PTnJ06dcp8aWqAnxBPltEAUVMV9Ie2pgtoAKPbpgESvEMDQg0sPe2UqgHxzz//bPKF//Wvf5nUmPSmgaumpowbN+6eefpj0279+vUmPUPzsDXlMn6fJk9omke/fv3MD5a0/E7Q4+qdd94x6ZwauD/77LMmoNVAXVNmNA1Hv680V1xz5/UHgf27yk7T1xo1auSyTncpPvreOQfzeny52xZtvNLO63//+9/Njxdn9v5nmnaq/cac6fa5Y0+vcsf+40bPJ2+//bY5p+g+apqeflfbGw+czx+awqrnkISc8mAZjRf0M6Lvs36utSOtxgP+gpZ3pDk9ePUgi4mJMa1s2rqiue92v/32m5mvX+h22mKuLS56stHyU/HzZp07W2mnqv3795t129fXsmVLk6Onv7i19V7nO3+p6cmaUmkIZHrM6aBf8JrjrMGDfrFr66IeI3qlLD7tY6LHpXZIS4gny2inRw3W9ZjXAEaPU70iAO/Rc6j+ENPWTufzrZ1zh02ljR16hVRbZzUQdG4R1XOrnled6fiDDz6Y4HnZPm4/L7tbRjt3agONfRnNW9cca23518+H8+B8JUf7MGkDj+aYawur5uQnlwZ22jKr60pIYtuq/+qPCOcrHPqaaFDqXIJVfwjr9mu++7Bhw0yuvD0fX5fXPgaa564diTU4du6ca6c/hJ1fC3c/NrTTq/Myuh3x2bdFn0t/qOuPhPhXRvQ91e3Q9z/+e+Cuz4DSjsz6w9v5M6INAnpesX9GdJ62xGsnau3ToOtz15Kv5w+dn5jNHixjb6zQ90mvrOjVBo09/AXBO7xOf9VriUgd9MSgNYbtLSoajOuXun5hawcevUSq8/UEau8wql8eegLXHv/aUXXZsmX3HKgjR440wbeuQ1sb9MRl712ugYc+Rk8c+vzagqSXJ+30+bVVQltd7JcC9SStXwRAoB2XGjjoMaNf1to6psfDpEmTXAIi/ZLXS/4TJkwwHRXd8WQZOw14tCVSg8pff/3VtERqcAPv0sBdf5xpRRRtADlw4IB57/X9jZ/iosG+0nQU/Uw4l/zTYF47M2vAq+vQ91iv2mhLqjPtjKhXdLSxRANVDVKdixHYt0k/W3pFQDvTauPLSy+9ZObpuHa01TQRDdD0s6gpj/p5cm5Ftm+r/uDU1tvu3bs7OpJ6SquNaStwYtWNEttWDUK1ipoeRzr/hx9+MPuslXycW4Q1BUWPOf0xrK+bBrn2K2B63Okxo++JtkDr92NaXgXQ11CPO71xkl5dyZo1q0ujmdKgX99X7aSqVwr0PdAKOJMnT3ZJ+XGmP4L06pl+TrSVW/dHXx9tIdd/7fuqnZD1/dTPh3Zu1vfYTs9F+gNSi0ckdP7wZBnnHw+6r9r5V1MC9fPhV+cYXyfdw79oRxH9WNkH7XxTvXp127fffutYZufOnbaGDRvaQkNDbXnz5jUdoa5eveqYr52gIiIiTKfSMmXK2MaMGePoFGTvGKMdeh566CFbcHCwrUaNGrbff//dpQOrdlbRjkP58+e3DR482NahQweXDizamWb06NGm40rWrFltxYoVs7377rv37A8dVuGvx2XVqlVtc+bMcSzTt29f23333WeOm+eee8507LJ3AtuyZYutVKlStrFjxzo648Xv/OfJMvYOq/bt0I7qRYsWtQ0ZMsTMo8Oq9506dcp0DNRznZ4vtUPq008/7XJei98p8vz58+bc+a9//csx7dNPPzXvr54v77//ftuXX37p8jy6Du2w+be//c2cu0uUKOFSRMDeCXT27NnmnK3b8uCDD9p+/fVXl/Xs37/f9swzz9hy585tChGUL1/e1qdPH8d3QPyOlzr9iSeeuKczZVIdVp966ql7tj9+h9WktnXlypXm+03nFyxY0Na/f3/TMdVOt9X+Wddl9DvL+TXZtm2b7ZFHHjHfhdq585tvvrmn86k3O6zG35b58+ff02HV/ppOnDjRdMjV9ztfvny2Jk2a2FatWmVLyPXr122vvfaa+e7W9T/66KO2tWvXOuZrR9hOnTqZc4q+t9qRecCAAY7O69qxWl/j+IUknDujerJM/PNdlixZTBzx8ccf+1WH1SD9n69/QACe0vqumsumLSAJlToDAKQvbcHWVuqE6mvrlVSt8W0vI5iRWWlbEZhImwEAAAAsguAdAAAAsAjSZgAAAACLoOUdAAAAsAiCdwAAAMAiCN4BAAAAiyB4BwAAACyC4B0AAACwCIJ3AAAAwCII3gEAAACLIHgHAAAALILgHQAAABBr+H/T8BTjnoMFVAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 750x750 with 13 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.histplot(df[\"Баллы\"])\n",
    "sns.scatterplot(x=\"Возраст\", y=\"Баллы\", data=df)\n",
    "sns.pairplot(df)\n",
    "sns.heatmap(df[[\"Возраст\", \"Баллы\"]].corr(), annot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "749524c8-e9cc-4e34-939f-dae5d19d2329",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Обработка: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 50/50 [00:01<00:00, 40.95it/s]\n"
     ]
    }
   ],
   "source": [
    "from tqdm import tqdm\n",
    "import time\n",
    "\n",
    "for i in tqdm(range(50), desc=\"Обработка\"):\n",
    "    time.sleep(0.02)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "2ae1d980-092f-4ea0-87a5-fd7be6b5edff",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from tqdm import tqdm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "be666e52-aecd-464f-8424-cc4b6f6e33bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"Sport car price.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "adcd4122-1a91-4fad-928c-afcbbde4fe53",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Car Make</th>\n",
       "      <th>Car Model</th>\n",
       "      <th>Year</th>\n",
       "      <th>Engine Size (L)</th>\n",
       "      <th>Horsepower</th>\n",
       "      <th>Torque (lb-ft)</th>\n",
       "      <th>0-60 MPH Time (seconds)</th>\n",
       "      <th>Price (in USD)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Porsche</td>\n",
       "      <td>911</td>\n",
       "      <td>2022</td>\n",
       "      <td>3</td>\n",
       "      <td>379</td>\n",
       "      <td>331</td>\n",
       "      <td>4</td>\n",
       "      <td>101,200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Lamborghini</td>\n",
       "      <td>Huracan</td>\n",
       "      <td>2021</td>\n",
       "      <td>5.2</td>\n",
       "      <td>630</td>\n",
       "      <td>443</td>\n",
       "      <td>2.8</td>\n",
       "      <td>274,390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Ferrari</td>\n",
       "      <td>488 GTB</td>\n",
       "      <td>2022</td>\n",
       "      <td>3.9</td>\n",
       "      <td>661</td>\n",
       "      <td>561</td>\n",
       "      <td>3</td>\n",
       "      <td>333,750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Audi</td>\n",
       "      <td>R8</td>\n",
       "      <td>2022</td>\n",
       "      <td>5.2</td>\n",
       "      <td>562</td>\n",
       "      <td>406</td>\n",
       "      <td>3.2</td>\n",
       "      <td>142,700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>McLaren</td>\n",
       "      <td>720S</td>\n",
       "      <td>2021</td>\n",
       "      <td>4</td>\n",
       "      <td>710</td>\n",
       "      <td>568</td>\n",
       "      <td>2.7</td>\n",
       "      <td>298,000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Car Make Car Model  Year Engine Size (L) Horsepower Torque (lb-ft)  \\\n",
       "0      Porsche       911  2022               3        379            331   \n",
       "1  Lamborghini   Huracan  2021             5.2        630            443   \n",
       "2      Ferrari   488 GTB  2022             3.9        661            561   \n",
       "3         Audi        R8  2022             5.2        562            406   \n",
       "4      McLaren      720S  2021               4        710            568   \n",
       "\n",
       "  0-60 MPH Time (seconds) Price (in USD)  \n",
       "0                       4        101,200  \n",
       "1                     2.8        274,390  \n",
       "2                       3        333,750  \n",
       "3                     3.2        142,700  \n",
       "4                     2.7        298,000  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "fd96f9d7-055d-4388-b3ab-d49c63c64e87",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1007 entries, 0 to 1006\n",
      "Data columns (total 8 columns):\n",
      " #   Column                   Non-Null Count  Dtype \n",
      "---  ------                   --------------  ----- \n",
      " 0   Car Make                 1007 non-null   object\n",
      " 1   Car Model                1007 non-null   object\n",
      " 2   Year                     1007 non-null   int64 \n",
      " 3   Engine Size (L)          997 non-null    object\n",
      " 4   Horsepower               1007 non-null   object\n",
      " 5   Torque (lb-ft)           1004 non-null   object\n",
      " 6   0-60 MPH Time (seconds)  1007 non-null   object\n",
      " 7   Price (in USD)           1007 non-null   object\n",
      "dtypes: int64(1), object(7)\n",
      "memory usage: 63.1+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "f71d61ae-fc18-403f-97d9-6e75da2fbe83",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1007.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2021.201589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.019802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1965.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2021.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2021.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2022.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2023.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Year\n",
       "count  1007.000000\n",
       "mean   2021.201589\n",
       "std       2.019802\n",
       "min    1965.000000\n",
       "25%    2021.000000\n",
       "50%    2021.000000\n",
       "75%    2022.000000\n",
       "max    2023.000000"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "caa35e36-2cc1-45b7-8bb2-6d2e6622b83d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Car Make                    0\n",
       "Car Model                   0\n",
       "Year                        0\n",
       "Engine Size (L)            10\n",
       "Horsepower                  0\n",
       "Torque (lb-ft)              3\n",
       "0-60 MPH Time (seconds)     0\n",
       "Price (in USD)              0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "355e05fb-c11d-4353-adff-bb0e53451037",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1007, 8)"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "5cf86001-0742-46f4-a199-d9dff8a2db85",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,5))\n",
    "sns.histplot(df[\"Price (in USD)\"], bins=30, kde=True)\n",
    "plt.title(\"Распределение цен спорткаров\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "69461a80-f74d-496c-acb1-f756057cdd5b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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9ejR79mwhxg4dOkRnz54VVTlU3nD7woULVK5cOSHUjIQfHt+2bVvl+UBwbtiwgf766y/q2LGjcp9XX32VhgwZQh9//DE98cQTQrBmz56dKlWqJM53xYoVNG3aNLr++usdIfxQnXn8+xV+F+4gT3wOGt+/MY2ZtZnmara1r1aMhnerSSfPX6S008HF4L5jp+mZH1fR3M2HffddU6UovXlTHSpVKLeFXxkTq9eOFH/v9qkX9iIBwzAMwzCMl0kLURs4rtXzzjvvFBU2CCZQvXp1IeB++OEHIf4g+EaMGCEqbxBrM2fOpEuXLlHFihUpX758osqHbw7aRHE/OHbsmOlzyoqeio0bN4pW0OXLl4vbiYmJQngWKVKE7r//fnHf+++/LyqEP//8szi/HDlyCOF3+PBhIUCBWcsnxCrOWfsvlqCap7pwH9iqIo3SiT6IwdualqdnJ6+mTh/MpT6fLBQfn/h+Be0+cjKg5Q+ib+jPa/xEH/h782F69sdVohLIOBej1w6Yt+WI2M4wDMMwDMNEnjhyGBBau3fv9okfiD6wc+dOqlKliq8qeMstt9CyZct8j8O8H9i/f7+o0nXp0oVeeuklIf7ksebOnSvmB/VUrlxZPA7iDaLyq6++8j1v3bp1KWfOnHTgwAHf/hCcqBJ++umnQmCiNRTnJ88nKSlJVCMh+qT4XLJkieHX/Morr4i5RLuAFk4V9csWotEztwSIwc/nbw+42F++6xjtPXYmoDrYOqmoeEyt0gWpdumCdPbCJUrImYOW70ql8fO2i/ZPbvl0LkavnVC3MwzDMAzDMB4RfuvWraPixYuLFk20TGJWDkDInTt3uVpwzTXXiO0QV6iwQbChGgiR1alTJyHWypQpI+4HqNDhWLfeeitt3bqVSpQo4fecqNChBRSCbtGiRb774+LiRLUQj92xY4e4D+2iv//+u3gMzFvQQgogHLENbNq0SXwsXbq0KMlCeMIEBucqBaoWfC12okCC+mUDkRaKGNRWB/WCcNmuVHowZ2VauuMoffDXFVOelklFaMztDehSRoaoEGZlfpCx32sn1O0MwzAMwzBM5nBcq6c0WZEVNymKTp065RNs2vukuMNj0PYJGjVqJESg3AbhJvdfs2aN8nlbtWrlJ/oAjFlQfZw8ebKYO9Rvk6IPoOqH+wCeFzOHOKdYt21mhsS88WIeS0+uuOwhiUEpCI3aRUfP2iLa/rSk7DpGCTmz08u/rKVOI6+0jD7/0yrRMrp+fxot3nZEiEK0izLOeu0A3I/tDMMwDMMwTORxnPCDI+btt98uqnoAs3QAIgpzfGi7NGLevHli9k8fw6AFjqF6UJWTM3yo5MlqHwQcBCSEH6p1ksKFCwthhzZPCeb5JLgfx9H76kgBandQYYMDo/4C/mDaGdGqGUwMZkUQGs0Pdh45l275dJEQhU//sFI4R+5NPeUnCHHbbezRfY247cTXjnT15OotwzAME0ngDbD1YDql7EqlrYfS2SuA8TSO66tC5W3ixIlCwAG0d8K0BVENaN+E4ILZCgQgPmqB4MPsHShatKho09S2USIa4sknnwx4zsWLF/tEWs2aNcVsnqzeAVQftZW7+vXr09KlS32tp0ArDCEW0W6KfbT8+++/whzGCcB2Hw6MvtiGhDgqnDeeWiYVpecnr/ZV7FJ2HxMX9foKXmYEYTjzg/sU84NSXOSKQNyEHdh55KT4XutjEV7rWZvK2zgWQfXaQaXPiT8DhmEYxr6wSzjDOFz4NW3a1Cf6gGyxRBsmzFnQrgn0ok/OB8r7tRU4Cap6UtBVqFBBZAYOHz6cVq5c6dtHunBqq3UQmYiWkMyYMSPg2PrzWbBgATkdXKirLta1F/UF88RR74ZlaIhGDGqrg3O3HM60IAx3fvCyocxp+khXOQw3bsIOoLKnF30A32N8r/FHrUxiHnLaa4dhGIZhIgEqe3rRp3UJH3VbfTaLYzyH44SfVvRp6dq1K7Vu3ZoeeughGjdunJ8QA2ithCiEu6YZqCY+/PDDwowFrp/XXnutaN3Ug3ZNKf6wrxScRuB5cQ7aSqEeh0UqhgS+pNw5c4RUHQxXEIZTHdS2i843aBd1UqD4iTMXTGMRsN3Lf+zh/pp25jwVyJ2TiuaN5z/uDMMwHgN/B/SiTyv+2CWc8SIxFX4INMc/6YiJNsqhQ4dS586dDR8Dd01t7h7y8NA6CcOWkiVLCsdMvegDEFy9evWiLVsCBYF2Hxzr22+/FW2ayApES6aMXJBgvg/um7LaiFZPfVgizgv/ZCvp0aNHKVeuXH4CUS8EEVWBKAong9m65wxEVLWSgYGSWRGEVraLysrZGzfVESIq7fR5Kpg7J+VLiAu7kobZwjTNMfInxFHpLFbjcCwzTpwx3+5WuK2HCfV1cvz0ed/vJBYI+PXBuBmnvuazspCHx5jh1b+TboQXfB0i/DCT9+abb4r8PVS7UG278cYbKSUlRYhAPWiPhNGKFinKPvroIxHu3qxZM5o2bZowekGEgxZENUgzGBU4hxtuuEGINNChQwcxc9ewYUO//SDmtC6eEJrdu3enzZs3+52XVjCi4lewYEE/4aev/mHGz8kgjF0v+qSIgpCDyNO394XSLmrl/KBRdRCgHXTnkVPUd+zigBm6QrlzhvQmY9UcHp7TjPwJ5tvdCLf1MG6ejWUYr73ms7qQVyDI30Ev/p10I7zg6yBXT4SlI38Pwq9q1aoipBxGLfrYBMnIkSMN2yFbtmwpsvAgJIFe9IGffvrJ5waqd92Uhi+o8H3zzTeiWgfzFcz4BQNCEG6jZhw8eNBUdAKtGYwTgVAzaz/E9lCBGESFsEnFwuJj8QIJPlOQaY+0pu/vb07d6pYUf7hCcRcNt11UghVSVSUQq6bt35tDPT9aQO3fnUMPTUqh/VhR1biHIWbCbA4vKy6jqBqaxSJgu9cIpa2H8R7a38nth9PpBZPfSY6CYdwGXtPPO/A1H2whLxRnzqL54oUAUIH7sZ1xNpF4nXiNmF4dvvHGG0KMbdiwQbROli9fXoi35s2bK/dfuHAh3XffffTpp58GbEM1D5l6qkgE6fB59uxZIcAAbmvn9ABEKKhXr56o1h04cEDM+C1btizo1yKPawSqgsEcO82iKJwAqnNZ2R4Kqgrh2zfXFQINbRtYwUM1rkVSUbWhTJWifm8QRtVBs+04Zvo5/2rt0p2ptPPoKRozE8Yxl4//+yOtTYUwvh+lKXPkzxVHr/aoTS8k+3+NchUX273WasFtPUywleBx/Rv5GTtpwe8R3kfCWSGO9WueYYKB1/T8CL7mnTSfh+2o+kAA4DFa0ffWTXX4d9UmZOV9lOc4HSb85syZI1o7165dKwLOkcUHcQQBqAKtkEYCC7N9eLwK6agJYSXnCSH69LN7f/31l58ARIUOwg8VQD1ytlAeC6LTDFQYIST1aMUnZgCdDFoys7I9s+CPluoPF97YIa6kICyYEBdyuyhomVREbFdxQlcJFE6iM/2dREOZw0MGX2bmB/Fm9th3KfThbfXp9PlL4nzy585JuXNmp4e+WU7v3xLdtkY7tFrkCyJ288ZADDP2Wgk+d/FSxBYH7PCaZxi3zoNHaiEPv4to88ffTHktgEofiwF7kNX3UV7wDZ+YXglhFg/tjbfeequY3fviiy/oww8/pB9//JH69eunfMyePXsoISFBVO8gmPDYn3/+OaT8O4ivXbt2ic/1ok/m/P36669CHELYJSUlGR5L+3hUGWHwYgZEpD5CAqIPzyNn/Zze6oksNiMRhfuxPZrAQEVVUQslbgKVwf4tKtDDk1KUx4bICjYrGGwOL298nAieD3V+UDucj/sf6VCVbv7vQmULYzTf7OwyWxefIzu1q1aMapQqKH4eaONNyJmDlu9KpXX7jovtjHdQrQQXy2e+uBbsd9Zur3mGces8eCTn8/C7yL+P9iMS76M8xxk+MV8ChxiTAgvmJxB+v/zyi1L4lShRQszuQWjJ+Txk80E4dezYUWw3A4YsaCk1A8//3nvvCcdNCEtU/J555hnTx6BSh69Dop0dlNU8fVup3KY1eAkWCWF30IIJ9069I6d09bRLbpuqXVRvJoPq27Cf19ApXUun/HryxecIOiuIqAgzIfxv2hm1k2jP2mJ+UNKrfikh8lTD+T/+pwWdPn+Rjp+6LAZR8YNYjeabnV1aLdLOnKNnOlWnl6eu9RPh+D4N616TKFsGbUCF9YwzshqZrKFaCY6Pyy4q+arWN9yfK8TFAbu85hkmGOgmMfs7hO12RM7naVs0Mzufxy3Z9iQS76OZeZ0c9/jrIebCT1tBe/TRR4X4Q4yCCsz+ff/99+JzKaJkoDqiHBC6bgZaPmEkY4Y0aalWrZpwEUUrqta4RS/gIBAh/CpXrux3HL3IgzBElVICAXr6tP9QtVY8OhVpwKIVUaj02f0CWyUGh3arSWcvqGfoxszaFHQW8PCJM/Ri15r0ytS1AcfAsW//bFFI84MDWlY0Hc6vVy7RJ3Rw7A9va0B543MIQ4tovLHZpdWiQEI8PZ8c+H1avusYHTlxjsbM2uw332X3rEYma6hWgvcfP0N3tawoPte+TiD6cH+or1W7vOYZJhhol8PfLH1Xi/xbZte25EjN53FLtn2JxPtouK+Tffx6iK3we+6550RmX7ly5ejpp5+muXPnUlpaGvXt21e5/yOPPOITfnrQNor4hWDAudMMmMsgSuLLL78UJi8NGjSg/PnzGwo6VOyQLahtNVU5j1aqVEkISYle9IE6deooz0lmAToFo4gGpwGb6zf/P8dPzgbALTNXtmy077h/e+XBE2cDjGPy5MpJfccuEm8+z3SuRulnLlK+hByULz6Oen+ibtFUzQ/G5chuOpwvL2TlbQjN4d1q0o4jJ0UlMvXUeVqy/Si1rVqMcsfniPhKl11aLTC/pfo+ifnLWf7zl8FiRhjno1oJjsueTTjw4jUxsGVF8fuBRRvM8qJS/svgVo56zTNMqH/L9CZoqPTZ/UI3q/N53JJtbyL1Phrq64RfDzYQfjBqQUunNEZBBh/iE9C2CQYMGCDm7WbPni1ut2jRgooVKyZy9mSLZKlSpUSlcNiwYfT4448rn0dW6VCdU4W7a5GtoBB9eNxtt90W1NUTok+fL6gHuYLSZMYIVBlVGMVbMNZjZLaiepNpU7WY36oTqm7VSuSnuycu9Xss3D7NogX084N6IahH22aK9tLbmpYXgmaurqLRuEJheiF5Df214YpBUtfaJejZLtUpHQHzuhbIPamnQgqvj2RLTlZIP6teIDHLapQxIyz83IdqJRgCr0E59eshnNeqXV7zDJNVEzS7k5X5PG7JtjeRfB8N5XXCrwcbCL+xY8fSQw89RJMnTxbiTt+GiXm+tm3b+t2HiiCy/iCiMBN37Ngxev3114Ww087TQYzJIHZ5P6puqAyaAXdRPC9MV+Aueu+994qqn8rNUwJBCVdRCVo/tW2dqqqdah+Yy1x11VXKFtf58+ebnjcTXVRvMgXz+AvCbJcylC02qDCYzVzo5wf1QlCPts0UlYzP528PqG7h9vApa0RbqBR+eFN9qH1VsQKm3b9DtWL0Yreahq1BKvMZO1hmG7l6BstqjETMCGNP9CvBeL3e2qisWBjJymuVbeIZxv5wS7a9ifb7KL8ebCD8Bg0aJKIS4MqJdkrENQDM+cHhEtl8cNnUu2NiPzkHiIgGiD8Es5cuXdon9KTo04Iq3po1a0zPady4cSInEMdHVRHmLjLmwcgNFCJ027ZtvttS0OXJk8dn2KJv7cQ+EKgQjVIUyq9fD/ZhrCVSw74qQahvF80bl9105uJ//1x2npVcuHgp5MiJYNUtbVso3lhhhKIXidVKFTSdKdSbz8g36VhbZsO1U2XcESyr0aqYkUjh9UH0rKL6nYzEa5Vt4hnG3nBLtv2J5vsovx4uE9Mrno8//lh8hLjS8vnnn4s2T0Q36Ns9P/nkE3r77bdFhQ0unbLF8pZbbhHtlIh6gOunqqKGKAe0lmK20IidO3fSXXfdRU8++aR4fgjQli1b+ipuBQoUEFVHLRCZWkMazPxBjGpdOvUtpvL8nDa/50asHvY1ahc1mh9csdf/9TVh/nZDoQjjF23kRLDqlnZ78QK5lDNxwcSj3nwGK3X4/uHNu3LxfH7bQm0XjQTHTp9TGnccTDtDrZOK0twth20RMxIOPIhuDZGyd2ebeIYhOpB25oqhm40ck7kl2xlE632UXw82EH7XX3+9yOFr3LixEEDPP/+8qMj17t3bsN0zLi5OVMrkvJxsvUSbKO6vXr06paSkBIg+VM0g/Bo1amR4PtgHzqDTp08Xs34Qfddddx2tXLnStw9En97ZE5VBrciD6NPvA+Gnre7pzw8Ei6NgIk8sh33DmR/EOWiH81H5yZszBw3/Za1f5EQwa25t9QtmMyqCiUfVzKGqP37nkZPKCAqI2NzZs9ERjSCE6EXuYlbIlysn3fbZ4gDjjg3/ptGL3WrQy7+stXXMiB4eRGcYxu7sOnKSnlO8z9vBMZlbshkt/HqwSYC7lgkTJlDx4sWFmQpaN1HN07d7vvXWW/T3338HtF6iEohZuC1b1JUK7IfZwAMHDhieDwQcDGduuOEGSk1NpTJlyohqJHIFtehdOyHo9OHr+n3gJqoVfkAvDlGxZKKLHYd9jVa/VMP5L91Yi5683r9qqHcX1f4x1raFwmFURbDWSKOZQ21/PCp9Zu2iL99YKyC8/s2etSlb9mxi1TgzghACuVH5K9EWWtbvSxPCGcd1SsyIHV+bWYXbVqMLf78Zqyt9etFnN8dkbslmtJTi14N9cvyAbNssXLiwb9YP7ZZaYLiiAu2dqP6h/VMFBBaEFVoszfjjjz9EJiB48MEHfbOBZkBQogXUTFRC+OnnA/XiMNi5MZHH6cO+qqrhWwYrWq/2qEWvTF3nu+9g2lnl7CDEYTjmM6r+eLR3mkVQ6KuKO4+cogsZGTTkx8CV4zf+XxAGaxk1W80bckMNKukwVzunvzb1cNtqdOHvN2M1aO80e5+3i2Myt2QzWgp6/PVguwB3zNPVqlXLcD+9EESFEOHpI0eONDRHkaAFNFg0AnICmzZtKkRkcnIybdy4UbR7mgGhqsrl04IZQJUxDBNb3Djsa7ai9U7vur77IaBUs4Mb9h03NZ/Rh9er+uMh0MJpFx3TtwENSV4TcBGx4d8TdPZiBg0zaBm9cOkiHT5x+WtBRcNNq3luem1y22p04e83Ew2COSKzYzLD2A/bCD84fGK+b968eYb7oJo3c+ZMvzZJ3AdnT+T5QdiZER8fLyqDZmDODtU5HB/H+89//hN09g6OpMGEH6qILPzsh1uHfY1WtFT3ox3HN5ivaYEMNbxe1R8PERZOu6hRSD2OO2zKGsOWUVQxb/l0UUDcBBD19GzkWNz02sxs22o0zYHchBvbhBn7EcwR2e6OyQzjRWzxWzl48GCaOnWqmN3DXJ0RmPeT7ZHyIwQXHoeK2nfffRc0IB1zdvgnA+D1tGrVShjO4JywT7ly5fxy/PRzeQBOolpXT1XWH2YAtY9T7SPD45nowcO+JESeqh3H6AJ7RO+6QR3cIBLN2kXjcmQLKaTeyHkU4Ninz18KEIOD21WhW/9fDEa6vc3IvS4cV7tQ567c9NrMTNuqmTlQ+RibRtgdt7UJM/YEi4Rm7/N2dkxmGK8SU+EHIaQNcA9mbgLhZrYNLZ8Awg6RCghj13L33XeLqiLEm8wE1O/TqVMnYTIDEQZRuX79euH0qT3nYBU/1T4QhlrRqKr+4Rgs/qKPm9oD7TI3BNFo1i5678SlIRnGGDmPGglGPNcznf3fJyCavlywg/o2L5+l6pGRex2+HjiGzthwKKirXbhzV255bYbbthrMHAjfL678eaNNmLEvWNzC+xx+V53kmMwwXsa2Ae4qAYTKmqriJquBEH+Ie4BzphR08jbo1q2baPeUt/WiT4pBmLrg3PBcmO9TzQ5q8/xw7lpjF3l+2gB3tKOiyqetNOLcIFJV0Q5MdPH6sK8Vc0OoyqjaRbNdyhCVvE0H0337ZqMM5cqxkfOomWDUi8XWSYXpliblxLlrhcRD11aiPo3LiVzCYGLQzL0OQqReuUQ/4adytcvs3JUbXpvhtq0GMwfCdsYbbcKMvcHiltG4gN3Zm3oq0y7SDONUbB3gDvQB7hBZEFY//fQTdezYUczO7d+/X4goCK1ixYqJ2xCBGzZs8Ik8CD64b/bo0UPZZinBc2FfuQ+C20uXLh2wnzbEHZU61fG02X44N5wjhJ+sOOLc5PnhPq72MW6bGzKqyqBVMU0jCBMT4pQVwpNnL5i2EuXOGRg9oReLr/esQ8/qRFuHakXppkblAu7Xzglq2zHPX7hkKkRkcLyZq52X567CbVsNag7ErYqmuKlNmHHuuICd4VZyxqvEvNUzGPoAdwglCCqIPgCRByCaEAeB2xCHEH1aZLsm4hog0lCBkyHwepdQVCGxD8QfXEbh7mkGxCayB7VAyEFAymoeWk9R3TP6uuU2r2GXnCm7nIdX5oawqlo6C4JQ/oF+6Jvlfo/H/Yip0IKKnl60DetWK0D0aSt4iJBo/94c3/3f3tvM9OsxCr3Xutp5fe4qnLbVoOZA3KoYFLe0CTOMFZU+s1Zy/B3iyh/jVmxh7mKEKsAdYkwPRBziHKT4UmX5HT16VBisLFy4UFTeVOILMQ6JiYnUpUsXcbtJkyZUpUoVUSnUz+udPHnSdxuzidoAdwg+CD9tCyfuUwlNL2f42SVnyi7nYXeiMTdkJAj1LaPIEvzs7620am+an+gb3r0W3frpwqDVI5UY1P7xx3YteYO0nBqF3mtd7XjuKvS21WDmQNjOBMcNbcIME2mwIGf2/o/tqr9DDOMG1FcrNkEGuGuFV1JSkqjCadsiUQW8+uqrfdU/FYcPH6YFCxbQ4sWL/VostUA4Yp7viy++EAITmX8wetm2bZvfflrRJ3P8tCIPIlA/t4dICDPhBzHqJYLNO2G7l87DSXNDKqyeG0LLaPWSBahJxSLiY9kieemBtlXo90da0/f3NxMf3765rhCENUoWCFo9Cjdn8PTZC9Ta4GvH/XuOngq8P6kIJeTMTim7UmnroXQxPxir75/TkOZAEHlaZKWXjV0Yhsks3ErOeBnHqY1GjRrR2LFj/e5D9Q6zgPfcc4/pYzFL+NRTTxluhxiE6ydy/CAs0VIKkTl9+nTT46KaGCyjL1jOX7DtbsMu8052OQ8nYLe5IVRjVRVZfXtbrpzZA6pH4eYMliqYmx68tjJdysjwWylumVSEHrw2iUoXSqBhv6zz3d86qSgNaptEXT6cR6f+v3rYsXpxeqdHLcKSkDSUwXlArCbkyM6vMx1G5kCxEH3hxHUwDGNvuJWc8fJ4kOOEHxxAUY2Dq+axY8dEcPu+ffuobt26fnNyegMXaayCtsylS/2t5CV4fMOGDalFixYixw9VRLR6SjMWI/TzhBKtAykqjXpHUnlc3IcqYWpqqmg19QJ2mXeyy3k4BSfMDana2/RzghBbZq2E2K7lxLmLdPfEpTSwVUUa2LKimOlDe2fK7mN098R/6Mf/tKBpj7T2CYOUncdo4MR/fKIP4JCnMoiGJKsNBQ6lnaEjLC78sENlzyjGQxXXwTCM/UELvtn7PwfPM24eD3Lcq/vQocuW6RB9AKIPHDx4UAg1ib4Ch2oe5uh69+5teGwIQ1TeZs6cKUTZxo0bhZuo1tVTijetiFu7dq2Y4dPvoxV5aFnVo58zRJupV4SfXead7HIeTlp1cuLckL56dPHSRVPTmG0HL7+/SFCdg4gbPXOL8vg4JtpQwdaD6UIo6Hm2cw1TQ5mXb6xFnUbODRAXsBm388oiMveyko9oZ8xiPPRxHYx34Aqws8Esudn7Pxu7MEZkNpbJTjhO+PXq1UtEI7Rq1YoeeOABn8h68cUXqUyZMmIfo7gGRDMgo8+MadOm0VVXXSXmCs+cOSMqiatXrzYVdZgfRAVSojKOwfwhKoqq2UIvYpecKbuchxdXnaItZFViRNVKmCtbNhq3YE+mW4OMqsjBDGX0zqCXBeEa6lK7pJ+QtNPPOFxLdKe1x+Di3uxnpo3rYLwBV4DdAd6f9C7SqPSx6GPcPh7kOOGHKhwqbF999ZVPZKGSd80114jPEeWgcvUEmN97//33qU2bNobHnzJlCn3wwQfiGJgJRAVOCkqgEpRoI9Vm9qmA6AvWMgozG69gl3kxu5yHF1ed7CBkjSpTocwJGrlMooqcJz6HaAutX7aQEHQJOXOEbSgD5m45TANaXo6isdvPeE8QS3T83LTfXycuVGjjODKz3Q04TaxbCVeA3YWRizTDuHk8yHHCDxU4iD+0ZULoQXTBhXPXrl1Urlw5kcOnEn5w3tyyZYuIaDADx5w1a5b4vHHjxuIjZu/MwJwhzskMtKHinM0wavN0a5UQF3uv96od0CZWMsoXgU6YW3PjqpOdhWwoc4JGLpN47Ywf0JhGzdzs1xoK59FwDGXMMgLt8DPG761ZNQzb7frzDZVgsz5unwVyoli3Eq4AM4y3KeDw8SDguL9ac+bM8RNC+PyWW26hvn370qOPPioEoJHzJgRd586dTY+PKt/KlSv9MgNVgk0bAI+20xUrVgTso50DrFmzZkC1ULsdz6WNqNCCWAk3Em6bmJU4bW7NDatOVglZqyoU4bhMjpm5JeACMZihTFyObGFlBMb6ZxyOJXpmf76xnh9MzBtv+jPDdrfiVLFuJVwBZhhvU9TB40GOFX579+5V3t+hQwf66aefTLPyUJk7cOCA6fEhIn///XchytBOmpCQQIUKFfLL44ORjPZ50Gb6xhtv+G4XK1ZMmNBoZ/1q1Kjh+xzHxgyhtjKJuUIjmjdvLuYT3US4bWJ2I9btT0bthMt3pdL4edsdsepkhZDdf+w0zd50iIrnzyW+J6mnztOS7UepbdVilDs+R5Z/ZqG8JvEc6/9No3H9G1HxArko/cxFIRAPpJ2i13rUFq6eqqrhvRMD3YYRFwHnUBWx/hlHYu7R7Odrh4UhVG8wu4Xz0P/McL+bqztu6yqIBF6vADOM1yno0PEgLY57l+rSpYtw2hw1ahTdfffdQpTlzZtX3F+5cmUhwPBx69atAY9F+Pu6dVeytlQg6gGmLjgmXDZRAdSau+A+PRBxWpEnnUdxDBn2rt2OzyH6IABR6UNFUR/4rkUbU+EWwmkTsxt2aH8yaieEUMD9Tlh1inT7BMT4zqOnaOqqfX6vrXbVilHjCoXpqR9WiZk5q39mp86dp6/vaUYvT10bIFpeubEmvdmztoiH0FYNs1/KECJx08F0vwD4Qe2q0MAJ//gdHz/b0bc3oPMXLwlRGytXQZx3OHOP5sfKaduFIRh2YHbL5+KYECcqfW4WfW7sKogEXq4AMwzj3PEgLeoeIhvz22+/CSMViD4Z64AqIHL3mjVrJub8VOJMOnaagUiGJUuW0F133SVy9SDIduzYIY4p0Ru04Pbo0aNFZVC/jxR9IDk5OeD5IABlGylaUWU0hRcIp03MSe1P2B4tVO2EuD1mljpywAntEypCbZ84duq8EML670mNUgVp2JQ1fqLPyp9ZodzxAaIP4GLxxZ/XEpaAqpcsIOIf8BECptT/iwtkAX5/f3Px8Z0+9ah84TzUqPyV2V98H769r7n4OhH90OeThdTpg7n0xPcrhNsgvhbESaTsSqWth9ItfT3ivFF9wwWvFqO5x3B+vnZbGILIqyZ+ZoXFR7eLPrfMslhVAVa95t1eAWYY5goQeZWL56N65RLFR6eIPkdW/CD8UN3Ts2rVKiHW2rVr53P81IMK3PHjxw2Pjcdfd911YhYQ4g3/WrZs6dfWqY9qKFq0KC1cuFDEOcg2Uv0+OA720Qe46/dByHvPnj3JC4TTJmYn7NL+JM5DJ2Qkcx3YhhWJ9omT59RiAa2wRvl7Rj+zrOR0nQwS24DtKnB81XNoVxaL5I03yQKMfvRDqHOP4f58nbow5CbcMMtiBV6tADMM4w4cJ/w2bdpkGIWAlkgIOyMXTAg7CEQj4PyJeT1UFNF6Wb9+fapSpYqhWAOo2KHCWKGCv+U6kEIPzqPYR5/jp80bRMXQqFLpRsJpE7MTdml/sst52Kl9AoJKNfcYlz1bWN+rrOZ0RdoAQms8tGF/mqGojFX0Q6gtl+H8fJ26MOQm3DDLYhVGizQMwzB2x55X1ybAwKV06dKUnp4uRB6MVCCupk6dKsTTmDFjaPLkycrHYnavQYMGNGPGDOX2tLQ0+uuvv2jnzp3ithRzZoYxeAwEo9YARiIFo2z9hADUCj+ty6cqH9DNyDaxUOzxvdb+FIqToVvbsLLirpqYJyd9eFt9+nz+dr8K39f3NA35exWJnC4rDSCCiUa7Rj+E+/N16sKQ23D6LAvDMAzjj+P+ekI4YR5Oa4Yyfvx4On36tPi8bdu2ysdBdCGP7+abb6YRI0YYHnvQoEH08MMP+4xegBSCRo+B06dZgLvcx0zc4evBPl4iHHt8r7Q/hepkyG1YgeD1A9GnF20Ltx0xFBH671UkcrqsNIAIJhpV0Q/4+nJkv1wtzEzraixw6sKQG3Fa1A3DMAzjInOX1157TYg8KaLgoNm9e3caOnSoqLAZ5fhBfO3fv59mzpxpenxUEJs2vVwhKFu2bIBJi4pGjRopjVkgNgHOFZEM+hZUOUcokc/rJXABpze6cEL7k96oIhLtT8GcDLE9GufhVNINDEEQbzGgZUVqHcL3KhJtmlYaQEhRqUIV/QDRB4fRIclrAsxgsMiw8d804Qy64d80Ue2048IQgu+/v7+Z+Ijb0c74ZBiGYRi34LiKH0xSILQ2bNgg2j0xg/fLL7/Q1VdfTdu2bfNV/iTa9soiRYpQmTJlTI+PIPh58+b5YhqANG2BgQtaO/W0bt1atIjq0Qq9kiVLBswKam9DAMIohvFu+1O4TobchhXa3OOpcxfp4Ukp9POglpQ9WzbT71Wk2jStMoAwypUzin6AsDVyGMViAhzJZFusFKZoL45lRqUWuy8EMQzDMIyTcJzww/weZu5y584thB/y8ODEiXw+5PuZia8jR45QrVq1fLf1LpsQZw888IBwDsW8ICp9yPHr16+f2K4SfQBCNGdO/5kq/bGXL19u6uqJ+9euXSsMZZjoB6eHMldndftTZpwMuQ0rtLlHiD+IPtguR6tN0yoDCCNReelShoh+0Lb/liiQYLqYcFfLijF3BmUYhmEYJjo4TvhhRu+zzz7zCToYvSxbtkz8W7lypeljP/nkEzHnJ9GLMMREQJzB1AVunbt37xaZfnDf1KN15IQA1e+jPzayBlUZgNr9vOTqaafg9FDn6qyGnQyzBip4T3RIoh71y1D6uYtCSON7mi8+ByWn7Alp7tGooma3nK5Qoh/wejly8sosdChmMLFyBmUYhmEYxnocJ/xq165Nt9xyCzVs2JB69erlC0CHs+add95JH374oWFl7euvv6Y5c+aIaqG+JRTcdNNN4mPFihWFsESL55NPPilC3SWoBMIdVIo+tIPKjD4zDh9WZ64xkQlOz+xFabC5OojKaLWbsZNh1sDPv3v9MgE5d1LEh/r6cHJOl74CfH7/pbDNYFTOoOtgDHP6PO0/fsYxBjEMwzAMw/jjuCtJzNOhJVOydetWqlevnpi/g6ADEGGY7fvzzz+Fy6cUgatXrxZVQYg+lThs1qyZ+IgAd9nCCWGHCAgJRJ8+GzCUSl18fOBFp/75VZEQjLXB6eHO1VkJOxlmjUiKeLvndIXa8mzWuqoyg1GJQWkQ82wWsg0ZhmEYhok9jhN+c+fOFS2ZEsz4rVixgh5//HHxD6Aah3+Yz9OCmb1hw4aJz1UVwcTERPERrZ7YXrVqVd9soBGy0qeNl1BRvXr1oFl92IeJbmB5ZubqrJw1dGLEhV2wk4i3S8uzWesqnE5hehNMDJoZxBhlG1r1+8EwDMMwjIeEn6zq6ZEOnGZgDg+RCT///LNy+7fffku33nor7dmzR9yGYyj45x9/pzwtEHwQo/pKoB6IUCNjF3luXPEzxqrA8szM1ZldeMdlz0ZHZYtgJtvhWORRVEW821ueA1pXc8dR3pw5aPgva4XpTTBn0OIFcoWVbWjVLG5mQUyF9mvnFlWGYRjGqzhO+LVp00aErMPdU2bnPfLII/TBBx/4BJ1R7MLEiRNNRdw999wjhN+iRYuEEEtOTqaNGzdSy5YtTc+pcuXKwpFTXwXUCr0aNWr4tZdqzWEAiz5zrAosD3euzuzCG/d3rlWCnp+8xu8Y3A4XHbxgjpPZlmdV6+rrveqE5Ax68swVcRgs29Ds9+PDGZtocLsqfu65+P0qbeFCx64jJ4VDqVdbVMN1K3Y7XIlmGMbrOE749ezZk3799VfKm/fyH+38+fOLFk7M7SHHD6hEH4RWnz59aOfOnYbHxnG2bNki8vRwfGQF/uc//6FcuXKZntMXX3whMgIl+spenjx5xDFy5MjhcyOVok8KQLSsYl5QNQvIXAksR1VDe1Ga1cDycOfqzC68cf+AFhVCbocLF76IM8cL5jiRbHkO1Rn0/MVLIWcbGv1+VC2ejx5okyREYbTcc1Hp04u+SP9O2hm7uBXbBbtVohmGYWKB466EZFXv+PHj4iME09ixY6latWo0YMAA+vjjj2nz5s1CQEFISYoVKyY+wg3UDAhIRDg88cQToo0TogwZfGagkteqVSsRJK8C4lQKQL0olQIQ2YSc42eOVYHl4czVBbvwVjkiqtrhwoUv4qJrjmPXykBmW57D+Xr0zqAQUKFmGxr9foy5owENSVaLsA/+3EhPXF8t4osa+J0Lp0XVTdjJrdjNrtAMwzBOw3HCD+HqWnMXCSIVINbKlCkjhJ9W9AFEM0Cg/fjjj4bHLlu2rIiLQEURog/VOLiI6o+l54YbbhCOoEbCT4o9VBGNQuAB5/gFx6rA8lAvgoJdeKvs8fXtcOHCF3HRNceJVGXAigptZlqes/r1hJNtaPT7ceFihlKElU3MTQ93qGpJJTDY71xWfiedanSUJz4H1SuXKLan7Eq11aKGE12hGYZhnIbjhN+IESNMzV1kdU0F2i1nz55tuB2B7agaSudPzOXB4GX9+vXitr6KKEHsg9nzooq4bt26oK6ejP3bGs0uvI3s8fXtcOHiFbfKSJGV10mkKgNWVWjDbXmO1NcTarah0e+HkfHOmL4N6IXkNZYsagT7ncvK76TdUX2/Ifo+vK0+fT5/O42eucVT7Y5WuUIzDMM4DXV5wqZAmM2fP59efvllWrNmjU/wQXSNGTNG3Ea4u1GYOoQXcvzMQFUOpi7atlCZG4h2TBxbf/ybb75ZzO/hnxGff/65b77PCKPHB3uc28BFszBKGTmXbvl0EXUaOVdcpOL+WCMvvHGxpKV1laI0uG0VGj9ve9B2uHDxglulkyoDWa3QYnskWp5nPN6Gkh9sIT7idknFhXskvh4JRF61kgWoScXC4qOqTdLo98PIeCcuR/awFzXQerphfxot2X6UNvybJm6rkBmGKrL6O2l3VN/vga0qCtGn/37LRQAsErgVq1yhGYZhnIajljyXLVsmKm5Dhw4V/0B6errPyRPbbr/9djGjp6rMlS9fXhi4mAHheOjQIb/7tm+/fDFvFMeA9lCIwYsXjd3v5s2bF1TASXMaPXAZ9QpOaGs0mjWEQGtQrlDQdrhw8YJbpRMqA/gZZ89GtH5/mmklOhoV2lBbnmNR6VD9fuTKmV05J3gizEWNcFw6w2lR9YLRUf2yhfwqfV5qd7TKFZphGMZpOEr4tW/fnmrVqiUqbwcPHqTU1FTKmTOnuP3VV1+JihlaNY1m8u69917h2gkBqQLiDeHtUvjJmbsdO3aYnhcy/DBDqKoeSqGJEHhUJqUpjYqUFP8wZUnz5s1FpdMLOKWtUXXhjduhtMOFixfcKu1eGcCF4df3NKMXfl4TtH3TThXaWFU6VL8fKuOdcBY1grl0ytlOKcpx7FBbVL1gdKQynvJK54BVrtAMwzBOw1FXjBBOd955J3322We++2QVrnTp0r55OrN2y5tuuslwO4712muvUffu3SkhIUEIPgjJXr16mZ7XY489RlWrVg24X1tdxOfXXHONCIk3AuJQhVkLqduw00VzZjCyyLeLW6UXyMp8qFFlABeHL09dG1Il2k4VWjtVOiCO8X1M0xnvhLqoEcylc+eRU9R37GKlKHe70AvV6MjLnQNWuUIzDMM4CUcJP7Bq1So6duwYnTp1eU5Gtk/ChRNtn7NmzTJ87KZNm+jw4SsXQHDtRMUQjwVxcXGiIoiqH6p4qPxde+211KlTJ8NjyqD3Fi1amJ435gv79u3rE37aMHftsbyOnS6a3eZW6bTogsyQVVMVo8pAiQIJIVei7VShtVulA2Htl5forhDqokYwF87jukUjKcrfvrmuq41LzNB+//B7bpdFALe5QluNm96jGYaJLY4TfnrxJpkwYYLI0oOQMxNfNWvW9LstRZ8UkajyIW8P4Fj9+vWjo0ePmh4TlbpKlSqZnjcqiBCUEtW8YFJSEnkdO1002w0rKntuCjWO1HyoqjJwJP3K+0SwSrTdKrSxqHSEc6Ea6qJGMBdOVZQKvv8QhE57LXthEYDx3ns0wzCxx3FX0YsXL6aHHnqIJk+eTPv27ROunqj03X///ZQ7d24R94DKmlHLZLt27ZTVNsn1119PX3zxhfi8d+/eogq3YMECw/PBsVApRGXwnXfeMdyvRIkSNHXqVNOvrXHjxuR17HbR7GbcFmocyflQfWXg3MVLYVWirazQ2r3SkZkL1VC+L9KlU7UoZBalgu//1oPpXC3hdkfH4bb3aIZhYo/jhF/Pnj1FwDrElszaW7Jkia9KN27cOJHXp63kSSDOUPGrXLmyaOlUAdMYZPdBJCIIHo/p2LFjwH5SPOIfjrl3715TQYmK4N9//236tRUsWDCk74HbsdtFs1uzDd0WamzlfGhmKtFefL1aeaFq5NKJKJX+LSrQw5PU5lh54+Oo/XtzfLe9Xi1xarujF3HbezTDMLHHccLv559/9pvtg+gDyPWD8Fq6dKloqdyzZ09AdMM333xDaWlpPlGI9kvM8mnB/CCMWlq3bk3Tp08XIlFmBmrRCrzHH39cPJ+R6AOFChXyhcdDpOIc9PEPKrHqVbx40RztQHC3hRpbOR/KlWh7XKiqXDqxADLs5zV06lxgnA5+Pv/qcv7MRCjPUjF2wm3v0QzDxB7HCb+mTZsKcRcfHy8cPNGK+b///Y86d+5Mn3zyCZ04cUKIOxUQVuvWrRNB8EAv+kC1atXohhtuoIEDB4rb//nPf0SAu5kb55w5c3zRD0bgPGWUgzSmYZhYZhu6LdTY6vlQrkTb40JV5Zw7tFtNOnshUJTj/ts/WxSSCDVqUcX8W574HCwImajjtvdohmFijyNn/LSxDTBXQUQDYhgw24ftf/75pzIa4aOPPhKZeKi+obKnBa2dqMC1adNGCDM8HmINIvKee+4xPacpU6ZQuXLlTPdBhRJ5g2Z4KbaBiX22YWat/pGn5qu45I6jxDz2yEWLRlWORZ49L1QhyuHeCSMXKcoT4rJT708WCsEWTIQatagu3ZlKO4+eojEzt9DcLWyuwUQXO8WxMOFh17+TDOM44Yf5O8ze6fntt99Enh5cOfUunHL2DsLw/fffDxB9QLZdYqYPkRAyGL5t27Zi9q5o0aIBbqIQhhCeRYoU8c0YGlG/fv2A+zCnCLEnWzxV58UwVs2uZcblb9eRkwEh2hBWmL1CG16oWNVSx1U5716oQoRphRgMXYxEn16EGrWoDmxVkUbN3Byw8MLmGkw0YCdWZxKpv5MMYwWOE35GVTMIN7h6QohJUYXP8U/O3hUvXpxSU1NNjw/xBbGHNlAYskAIAsz66YWffK4HH3xQtHuageeF6cy5c+f8qoByVtEswJ3xNlbOroXj8ocVTP0fM4Dq2ku/rKVXetSm0+cuBhVzVtuTs8iLHXa6UA1HhBq1qNYvW4hGz9wS1sxipE2YtPAMovdgJ1ZnYfZ3EiMbmFHmyh8TSxwn/FDRU9GoUSMh8DZs2CCqa8uXL1dWBc2qannz5qXx48eLPD1UCVGJGz58OA0ZMkR5PID9IDi1rZ4QnVpBB/C80okUyIqiFi/O/vGFTOxn10J1+UPbSsquYzS4XZK4ID574RIl5MxBq/Yco7plCtEzP6ykuZpzVIk5tid3/2veLheq4YhQoxZVvMbDqbabmTDlypGdUk+f9wlC/OzDWejgPDfvEgsn1ki8T7n9vc7o76TZaAa2e1X4hfN6MNo33NeUF1+DrhN+yNm79dZbReZdrVq1fG2c1atXp+3bt4uZPFTqYOBy6NAh3+Ow34ABA2ju3LmilVMFqnE7d+6kMmXKCBEIwxZU/FDNM6o0Qsy9+eab1KFDB999etGH505JSfEzk8Hx9PEPMKzxEnwh4yxHyfSzF+jD2+rT5/O3+1VBWicVoaYVC9OyXceCijmv25N75TVvl8iAUEWoUXVQFQpvVG0PZsKEBZNbP708oy5/f9/oWZuyZ88m5oCkIMRCTmnd7zQvmDBOe5/yynudHvwuZ2W7Wwnn9aDat2P14vRi1xo0JHlNyK8pr74Gg2H+V81ikGvXrVs3KlWqlBBBycnJpvtDuCFi4a677hKiD0jhBFEF4Qd++umngMoe9lu0aJFvHxVSjOH4iIJITEwUwm/ZsmWmj0GA/P79+w33wXPLCAf9/XpHUa8Q7EIG25nA2bXfH2lN39/fTHzE7cxGOWSGInnjhejTX9iiyjd61hYxD2Uk5iRetifn13xsgCCqXDwf1SuXKD6qBJKsDuKiQMvBE2dFTqAKfbtoMBOmvLn811k3/HuCzl68RE//uIo6j5xLt3y6iDqNnCteI6gc4vWAOcWUXam0P+1M0AUThrHL+5SX3+sQMZOV7W4knNeD0b5XlywgWmhDfU15+TVoa+EHcVW3bl0aM2ZMSPuPHDmSfvjhB+U2VOVgtiJn71QVOuT4Ie4B4g77olqHlkstCIRHRRCi7MYbbxT36c1i9JQvX57Wr1/vu43j67n66qt9M4FGoF3VK4RS+WH8QWWveskC1KRiEfERtzFPsGF/Gi3ZfpQ2/JsmblvF+YsZhhe2uB/tn8HEnJftyfk1b29kdXDG420o+cEW4mOXWiVEW6heEKraRYOZMKWf8c8ZxOOHTVlrWCHcd/yMCJ7v+dEC2nbIP5PWSwsmjPPep7z8XpeYN15U81Xgfmz3GuG8Hoz2xfWF0fWH6jXl5ddgMGK69IDsPfwLFbhrvvHGG8ptw4YNC/p4VO4gCGWlTd+SKQWanMVbtWqVqDLCtVPr4qkHbacyWB7I42tbOQsXLhzwOH2rJyqMXsHLlR+nOoedPGfeomI0D6UVc162J+fXvP3nLVQtqgXzUEjtosFMmPIl+Mf1FC+Qy7RCmJHJllOGifX7lJff6zC/h7/BzytGM3C/F+f7wnk9GO0b7ry1l1+DwXBczdmo7fLRRx+lDz74wPSxWpGlb7OUjBo1ivr06SOcOpH7V6dOHZ/pilHFDhXBfPnyBQg67XNotxudA2YMvTLn5+XKj1Odw4L9zFQXp3oxF0vXx2iLDv3z5dO1+nntNe/keYtQZhaDmTAdTDtrWgHUc0JTQUzZfYxaJhVRCkW3L5gwzvvb7PW/71h4xd9gX45fQpyo9HlR9IX7ejDaN9zFL6+/Bm3b6hlJEOheokQJ033g9nndddeZ7oNq36BBg6h79+6+GAe0h5qB+AftPipRCXEoW1GB9nPJ2rVrySvIyo8KJ1zIRLPFMrPOYdH8mWEOCvNQWozEnKqlDrdLWnjxD9Ex+JsUX+tc+3fn0OBJKeJ+y55vkv/zIQw81Hkxt+GFeQtpwqRv88Lt4d1ria/frAKoJ7+mgjh+3na6q2VFIf60cJ4bY8e/zU7/+x4JIPKqidGMwuKjV0VfuK8Ho32x+GXUQqt6TfFr0EUVP1TOYKaip0CBAsKR0wxU8CZOnOi7jfk+BKhr3TZlS2anTp1E5e7mm2+mdevW+R1H3/IJwaaf69O3cSJmQruPqnoIJ1JV0LsbsVPelxPDWWPhHBbsZ5YnPgc1qVA4JAv/aLo+CtGhi5oAECG4GB8dYUdEI5Hz7h8b6dv7mtPwKWsCWoBe7VHL1q/5rGI2bwFBfOzUeVu3gIZrwgSjF/l7gEpgxqUMqlYiv9/P/eTZC6YVwgsXr/yNOHXuIj08KUUYKL14Qw06c/4i57kxtv3b7OS/70zkCef1YLTvxv1p4hrrheQ1Ib2m+DXoIuGnzcLTirCHH36YSpYsafpYzO8hqkGCeT+9CQyOh8gH0K5dO6pSpYoIfteC59Nm9U2bNk24dmqB6IMYRbyEFHUImTdj165d5CXskvflxHDWWDmHBfuZ2fFn9y8cEQ2qoxAj2B7J8zYSObc2KUev/7ZOuEuieoOZBbSvYCXzlanr6J3edW35/YsERvMWWCxARMgLyauDZkA6BaN4lbdvrkvHT5/3/d4k5s5pGNPyao/adOe4K9EPIKlYXurdsIwQgSJD8+IlOnH2gmtfM4yz/zY78e87Yx3hvB7M9g3nNcWvQZcIP31Mg6ycffjhhzRjxgwqWrQoHT6sXlnet2+fz6hFBcQc2kXhHIpZOxxv9uzZAWJTbwwDwYbsQD1S9IEDBw4YmsOojhnK/W7ALnlfTgtnlc5hRtUCK53DnPYzSzt9IUvbIyVy4EqG/MOZG67ki2pxc4ah0bwFKliqiBA35tPhIkQlZLH6jAq9vDDBok1ctmxUsWhe2p16uRW5TukC9OFtDQzD4XPnzEFH5TxR7jhKzOPdeSLGPu/zTvtbwYS/EJ4axvtOOK8Ho33DfU3xa9Bmwg8tm1u2XAmCRsbeihUrRLtluXLllI9566236NVXXxWGK6igYQZv69atlCtXLiEKjUSfNE8pVqyYoQDDfc2bNxcGMhB+aM1E3MTnn39u+nVAmAWr5mEfiNKDBw8GbJPVQ5yfCuQPMvbALuGs7BxGtDf1VNDga1lVMiNPLvPtkRI54bqSuQkjN1cphs0st93+Rxuv2dKK+7Ur1cjQfNag0+CFyWuoS+0S9NzkNTFrPWcYxlvYYeSFcaC5y9KlS8VMm5xre/zxx8XnQ4cOFbeHDx9OFSpU8HsMKmswcrnvvvvE7b1794qP9erV84tUUAEhlzdvXsOqG+YHe/ToQS+99JIQpQiJR8SCyjRGO68H4aZy7dSCVlCjaqOs6KkqiwBilLEHdgpnlc5h00Soe3PxEbe98KaLgGuj4Gs9ueNzBJhiSHA/qiWRxGio3K2W/Nqg8a2H0pVGLUYB6cFwsxgOJ3g+/dxFw06DuVsOU3HdQo9sPY+26RTDMO4n2MgLv+/Ym5hW/K699lrDWAVZAcQ+WtCGWbNmTfr444/FbRizYJbuscceE+YtRkCoQVi9++67fvdpnx8B6gkJCfTjjz+KqiAEGXL8OnToEHA87eNQbaxYsaKvMqc/LsBs4ebNm02/H0lJScr7YUDD2INYtliqQGXPidW9cFtE9JU+fcubNvgarXPayh+E3eC2l3+3tI+B6BvctkrEhZ/RUDlcT+HqqZr/c6rLWDgRDap5i0sm7/9OFsORJlg4vKqaHM3Wc4ZhvINdRl4Yl834QThhvm7evHl+9y9evJh27Njhuy2rZIcOHfJz51QdD2JuzJgxfvdpmTlzpqgwouKIquD+/ftFPuDJkyeVYky2d1atWjVonAME7IIFC0y/5rJly5puZ2KPG1sssyLCYtEigvM0+6OD7drWOcREnL94ibrWLkkDNaYqB9POUOlCCZbESBgNlbepWsw1LmPBIhpU83n6eQscQ9UC6mQxbAXBwuGNqsnRaj1nGMY72GXkhXGZ8EPVTBXPABEGAYcqH2b60EJ59uxZevPNN6l///7ioxGozJlVGBHvMH36dGECg+Oj3XPWrFnUoEEDv+w9iELtTF+3bt3oyy+/NP16WrdurYyh0ArJGjVqmB6DsQduCmeNdp9+JFxRUf2oWjwfjbmjAV24mCFu48I4Lkc2GvTVcmV7IL6WuBzZ/VwVq5csYKlrpGqovGAeco3LmFlEQ6jzeWy5HRpm4fCoXMMZNtat5wzDeAM7jbww4eO4nw4qe1p3T+mcmZKSQk888YRP4EEM6oGYwxwhAtpVINoBLZtjx46lF154gZ5++mkhBtH+CYxmA++44w765JNPfLdVrZ7NmjXzPV4rICUwfsF5M87AqS2WkRBhqNJkNnMtEi0ihfPnpE/7NaIhyYGCFfefz7gYlqtitHGLy5iRe2m483lsuR16OLw++qF1UhEa1K4KDZzwjy1azxmGcT92G3lhXC78IMxuueUWatu2LV1//fXCfRNumDB70bZkokq3fPlyv8c2btyY+vbtayj8ZBj7iBEjROUPHDlyRJi8mIH5PdlyCvGmcvlMTU31iUHsi8+1wg+GNYzzyYooijaZEWHhzHRZ1SKSOy5OnIPS4TB5tTgXO7S0uh0j99LMzOe5RQxHOxweK+uXLmVQg3KFXNN6zjCMvXHjyIuXcJzwa9WqFU2cOJHeeecdP0dMrfMmnDj1og8cPXqUChYsKCp4RvOA27ZtE4/v1KmTqMzdeOONIl7CCFQRtR9VlUawatUqcTwIQlVsgzbzj3GmwDt57mKWRFG0CVeEZWamy4oWEVz4mglWbNfD1tPRi2gAPJ8X3XB4t7SeMwzjDNw08uI1YhrnkBkgnmC6IgWfrJp9+umnPvEn20H1rpgNGzYUmX/BIibgJgowP9ivXz9RrTMCgg25gqVKlTI9bnJyMuXPn990H4S8M/YHVa/Bk1Ko/XtzqOdHC6j9u3PotzX/0jM/GIsilcV9rAlXhIUy0xVqi4iKUFtEgjkc6lsM2Xo68vEMZhENPJ8XfXCxVa1kAWpSsbD4yBdfDMNYDb/vOBPHVfzg6qmiePHiog0UlTd99QxVNog/RD6MHz/e1P0TraPYB/Tq1cs3j2cGxCeC5PVgPhBzg/K8IUzlbKI2C1C2gE6ZMoXuvffeoM/HxA6jqlfx/LlEnpaTgqjD7dOPxExXJFpEgjkc6lsM2Xo6dMJt5fXKfJ6TWrgZhmEYxjXCD7N7iHOQ4g3CDMILwesQUsjCU7V5Qvwh4H3jxo2mx4dwxLG++uorXwVOVhJh0PLPP/8EzO/BmAVzfnqk6AM4FkLmN2zY4Jvzw/lq91m2bBkLP5tjVPVS5WjZPYg6XBEWqZmurLaImDkc4n5st8p6GhmC2B9Vx4K5c4rn0mYGOpnMtvK6fT4vq3OtDMMwDGMXHCf8/vzzT7+KnWz1HDduHPXu3du0LfPhhx+mN954w/T4qMhJF08p5lBJRPVOBrTrgfhExdEMnCeqiRLZqqp1AFXlBTL2wqjqZZSjZfcg6nBEWCRnurLiimrkcAjRh/v1c1CRsp7eeeRkQHC8fE4YbzidSMQzuI1IzLXaDa5eMgzDeBfHCT/9/J6kUqVK4mOVKlV8M3p6IBgfeeQRkQ/4/vvv+6qFWgG2d+9en0MnxCSiGhC+3qJFC5ozZ47yuGvWrPETdSqKFCkSUCkE2tiH3Ll59djuGFW9kKOFPC1VS6HdjS5CFWF2ylxTORyi+qYyv4iE9TQqfXrRB3BMCFB8/U6v/EUqnsFNuE0MG1Uv8frNE5+DBSHDMIzLcZzwq169Oq1fvz7g/l27domPVatWpT/++EP5WDlThyD1fPny+VXYpABDxW/Lli1ChEEU1q1bN6gow2P+/fdfZX6fpE6dOrRixQrTr61atWqm270ELlAQti1b6nAhYoe2KqOq1/h522n8gMaUI1u2mIsiK7HTTJeRw6EVc4WohprNCWJ7aXI2kYxncAtuEsNG1culO1Np59FTNGbmFr85ZW5nZRiGcR+OE34q0Qe6devmm5MzomTJkuLj/Pnz6dSpU0qRhrbOu+66ix599FHRjom5wAEDBojHGIEW0Bo1ahiKPtC0aVOaOXOm77ZKJCJCgrF3S51R1atR+USqWDgPjehd1/VZcU6c6crqXGG4TqJOhOMZYiOGo5UvaVS9HNiqIo2auTlgYcPJ7awMwzCMS4QfqnAPPfQQTZ48mfbt2ydaKBGyjkogQtAXLlxIzZs3Fx/1PP744+IjDGDWrVunPD7C2mfNmiXyAmfPni2cNiH8tCYskrx584qqIQQbDF7MQOVQm98nRZ9WAEI8eh1U+sxa6t6+uW7MV6CNql4ix+9/K9kEwqZkZa4wXCdRJ85p2amV1y5YLYajmS9pVL2sX7YQjZ65xTXtrAzDMIyLhN+gQYPom2++obZt24psvIEDB9KIESNE5p4UZyrRByDgQKFChQyPX65cOWrfvr1wDv3777/p4MGD4n6V8NO2ispqohGImJCzg1q0VT9UMyFgvQzaO81a6rDdDiJKX/VyowkEcwVUCM3mBEM1iLG7y6SdWnljXSGzWgwHy5dEhTqSX5dR9dKJjsQMwzCMR4Tfxx9/LD5C9AGIPgDjlUaNGpnO2cnq3f/+9z/ldjxWCi8YuqC6iIoijqcyZpE8//zzNH36dNPzXrt2rZgr1D6X/jxhXON14efUljq3mUB4nT2pp4RxjJwxzZcQR2/2rE3PGjiJRsvYJRoLDHZu5Y1mhcxqMRztfEmj6qVTHYkZhmEYDwi/7t27CwGnJyUlxVd5QwuoCgg5tIPinwoIsdWrV1OpUqWoY8eO4j64gEqX0MKFC9PRo0cDHofjGbmNSmD+og+O14s/1bG9ht1a6rxoAuF1zGZM372pDh3VOImi0gfRF07rZVbaNDO7wOCG/MFoV8isFsORzJfMSvXy4Imz1LpKUeXryquznQzDMG7FccJPJfpAhw4dxMfKlSsbCr+hQ4fSzTffbHr87777jlq3bk2HD1/+I4jIB4g20KtXLxo/frwQa1rBBhdQ5AuaVfNQMdS2hiL+AeYx2kpirly5yOvgotSspQ7b7Qg7Irqn0mc2Y4oL5+olC2S69TKrbZqZWWCIlFmSqgoaqrNqJIh2hcxqIpUvGYnqZZuqxXi2k2EYxgM4Tvhdf/31Yt4OlbmxY8fSJ598InL0EN4ObrnlFpo7d67ysfv37xfCzgy4gsLcRYa4w5RFOoni+VSgyqgVeqpW09KlS/tVGs+ePRuwT44cOcjr4MLELJzbDvN9KtgRkVwxAwZhYyYusD2zrZeRaNMMd4EhUvmDdnDajXaFzGoikS8ZqeplwTxk+9lOhmEYxoPCD4JsxowZVLBgQbrxxhvpgw8+oN9++40WLFgg2jN//PFHw8ei1fPXX381PT6E3g033CBEWmJiovhXokQJw/0xA4iMvjZt2ojzMotzCAbyAFWgMuglcCEJ904YuciLEFQY7Cr6ADsiumMGLNwZ03BaLyMxBxruAkMk8gdDqYJGo/JnVgHD112iQC5avz8tZhXJcIlEvmQkicVspxXutAzDMIyLhB9y9QAiHADy9sDixYuF8IMgNKJYsWL04Ycf0v333y+qd2jPPHHihN8+zzzzjDBiQdsl5vYmTJhA/fv3NzSNQRj8nj17hPgzA88jA+SNkF+TKifQa0Dk2VnoOdUR0e2VvuezOAMW7oxpOK2XkZgDDXeBIRJmSeFWQaNdIcPv2Lf3NVcKfjtkf1qZL+lkrHSnZRiGYVwi/Bo3bizy8DDHB2GWO3duUcl77LHHRAvo8uXLDR+L/dFyiVgFVOf0og/CDO2geA44cGImTzqBYiZP356J/XEuqDqauX6Cr7/+2jTgHWhz/rQgl9AsQJ6xD3Z2RHQb+moBvAmX7zpmPAN2KvgMGExPzNrvsD2zrZeRmgMNZ4EhEmZJdnHaNaqQjb69AQ2bsibmFclY5EvGkqxU6zj+hmEYJjY4Tvi99NJLQgQ1bNhQmK1AxEHAYTYPbZp650wtV111lZijg8HL8ePHA6p4VatWpXfeeYemTZsmRGTOnDmFi6g0edEjHztz5kwR5m7Gtm3bgrZs4vxU8OwfwwSvFsCZ8MPb6tPDk1Lo1LnAhZhQKlMQCGYzpnoBEaz1Mi57NkrZlSoujNF62LF6cfpz/cEsz4GGusAQifxBOzntqipkeBcOVpHcejCd2wkjmIOY1Wodx98wDMPEBscJPwislStX0vvvvy9u16tXT5i5IGoBbZ59+/b1bdODCh5EnQx411fgICBRPTx16hSlpqaK5+rXr58QiVpjFohA7KedzZNB70bgufQh8HrhGcocION+eO4lc9UC3L6UkUEDW1Wk0TO3BDwuX67Q3u7QGogLWAgGWVFDpU9VNTJqvYQIfbBtEnX+cK5PhOLC+NUetcTnWvFn5Rxo6SBCNhRjl3CroNGukC3ephZ9khOnz1OfT6+0y3u5nTASOYiRqNZx/A3DMExscJzwQ5wCKmwQZ2DJkiVUv359qlXr8gUVhJ2RQEPFDY6dRqB9FBVD7ANB1r59e3GMefPm+e2nPSZA7t/u3btNz7tKlSo+wSnRC8+0tDTyGpFYfXYTPPdCWaoW4IJ2YMuKAffj4jYhSFC1lnBaA/Wtl3lzxdHSnak0cMI/fpVHXBi/kLyGRvSuS892vhC1OVAIWQjLNEX+YCiEWwWNNkErkrrtXm0njFQOYiSqdRx/wzAM40Hh98Ybb9BPP/1EGzZsELN6LVq0oLfeeouuvvpqw8d8++23frN2+Bzh7TB2+eOPP2jjxo2GAg2OoLJyJ41WtOIL54A2Uhi2YDv2vfbaa6lZs2ZKISnp2rUrTZw4MaCSp63otWzZkr744gvfPmhR1bd+wnzGS0Ri9dlNOH3uJVqVymDVAj0tk4rQgJYV6dzFwN/dSKFtvURb4XM/rVbuh59l+pkLVLl4PoomEHnB3DsjVQWNNsEqkvniA1vlvdhOGKkcxEhU6zj+hmGiB3cRMbYRfnPmzKFBgwYJMxWIoOeff56uu+46WrduneHMnCr/DsB8Zfv27Uphpq3MQXABldEKhN6kSZOoSZMmIp4BQhKOnrK6aHTsu+++m6ZPny4ErPbY2udo1KiREI7SBEY174fz8wqRWn12E06eewm3UpmVSm+wagGs/Mf1b0RnL1yiXHHZKWX3MTH399Xd0Wmldmsbmx1EXmYqkp/9Hdj26+SfQ6xzECNRreP4G2/DQiR6cBcRYyvhB6E3YsQI8RFumohOQCYfjFquueYa5WOGDx9Ob775ps/EJX/+/GI2DxENMFAxo0yZMkGdNW+66SYRzTBw4EDfXGCNGjVMH7N161bxmNmzZxvuk5SUJMxijNw/g0U9uI1IrT67CacKhnArlVmt9JpVC1Ddm73pkHLGD4IwGnAbW/RRVSRR6YPo+2LxHuVjvPZzCGbkE4rRj9nvX574HPRi1xpizlYaGpld0Nsp/oZHDqIHC5Ho4fQuIsYaQh96sQCIKjhxjhkzRtyWlTUYtahARe/ll1/2c+6UkQzff/99gPMmxBTy+LQ5effdd5/fPqgsyn2wP0QczgNmLagiIsy9UKFCpl8HBB8cQc3YsmWLr9qoPT9JMEHqNiK1+uwmnCoYQqlUhlrpxfZQqwW4WNCC2w+1q0Lj522PafuYvDBWwW1s1lb+qpcsQE0qFhEfITx2HFW/nrz4c5A5iCpwP7aHgur3D6Jv/IDG9Nuq/dTx/b+p50cLqP27c+ihSSl04NhpcbG/fn+aMOLZsD9N3JbHQttzvXKJ4mMsLkKxEPX49yuo08i51OeThdTpg7n0xPcrxP1MdIUItjOx+dvMeIeYVvw6d+4s/knGjRsnZuGkUYue//73v4btljB40ebgQQRCTGnvw+yetp0S+0ixCSAA//33X9HuCfDYcuXKiceZgexA7VyiKuwdx9XHMuj3Qasp5gy9QKRWn92EU+dewqlURqrSa1QtgJlKo/KJMW0f4zY2e8A/h9ByEGW1PZwKl/73DxUyGBfN3eL/3rX98Ek6feESDUkOrPCjDbdQ7pwxbfnjkYPo4uRxBifi1C4ixlpienX98ccfi387duwQtxHTANdOI+CKCWGoCjNfvXq1X2VOJRAhqtBGarQPKolTp06lLl26+PaHoES1zgzESCAQPlj1Th/QbmQW46XVZyNDhlBXn92EUy9Uw6lURrLSq8qyK5iHbNE+Zqc2Ni/DP4fgOYh4r82MuNEbGulFHxjTt0GA6AN438dM5uB2VehWXdQG3utQQYyGIOSRg+jCQiS6OLWLiHGx8MPMHeb1vvnmG/r666+pQ4cOwiilQYMGVLNmzYD9UTW7/fbbKTExUcwCQjRhbg75eJgTXL9+vW9fiDYIOa0IK1q0qMj8M6N3797C2EXuj+fS5+/pqVChAv3666/ic7RzokVUW0kEJUqU8BN+qP5p5/1QJfRKtS/Sq89uGk4P90J1b+opcQGXdvq8mGHLH4ZNfywqldGo9IYabm41djkPr8M/B/McRCsv6ONyZDcVVs90ruZ3H2JQdh49RWNmbvETklbNgPHIQXRhIRJdnNpFxLhY+CEG4aGHHvJl68GgZfHixbRo0SKl8AOjR48Ws3oSKcqGDh1KDz/8sO9+beC69vlQ0TMDrqKTJ08Wn0OAAlWrJ0SafA7k/cnQeLh14h+qeRB38vwqVarkV92D6MM++If9ETXhNSK5+uym4fRQL1R3HjkphLOqhQpmF3asVGa20ssucAzjvAv6E6fNF03Tz/ibnQ1sVZFGzdwcIBatMqPgkYPowkIkuji1i4ixlpi+qyHKAdW+n3/+WeTlIXwdhi9or1SBqtnmzZuV2zp16iSqc0agogZhCYOYv/76S7lP+fLlxQxgq1atxG2cF4xbYPSiR4o+mMMg509v3AKRpxV6v//+e0ALqHYfHA8B8l6KdLBq9dkLLlmo9OlFn7aFCm/q0az8hVqpzEylVyW0b21cRrSJnYhxtZNhGOML+vxBnHTzJfjPvdcvW0jpyGvVDBiPHEQXFiLRh9vdGdvN+AGIPvDJJ5+Ij6tWrfJV2wYMGCBmACHAypYtGzAbB0FXr149ateunS9HT9VKiZZQVNVk9Q6CDdu1DqEIkAfz5s2jG2+8UQi/tWvXCjGqf15J6dKlA3L5tNVAGTmB+UQtaAfVm9Gg2tmzZ89MfjcZLw2no0Jq1kKF7VkJ7M6M9XmolcpwKr0qoV21eD56oE2SuD/W1U6GYYwv6OFbbSasDqb55/IiezOaM2BOHzlwIixEog+3uzO2EX6IYsBcHjL8ILQg3uCQidk/CSp0bdu2Ffv+/fff4j6t+EIVLSUlhZ577jlq2vRKQLMUfVJg4d/EiRNpyZIl4n4p5rQkJyeL1kxUIgcPHixEJVo/33777YDnRYUPYm/Tpk20Z88evzlAfZspRCjmE7XgfLTun3ny5AnYh7EfdhlOR5UrFueR1Qy+cCu9KqE95g5zw4hoVztjwZ7UU37VznwJcbYNWGe8fUGPxZghCmE1vHstuvVT/wXRXHHZoz4D5tSRAyfDQoRhPCr8li5dKkSdZObMmeIjhNfGjRvp2WefFQ6eME6BsyYElioqAaA9FNu1oIqmFWSoMKJqCAdQFRBsO3fu9MUuYM6wSpUqdOzYsYB9tSLwxRdfNP0609LSDIPbJWfP+q98MvbELsPpmHOL9nnEwvpcJbQvXMywvNppZ2FlNtsZa3t8xtuonXbj6e2b69Lx0+d9ghC/U5B4NUoW8KsQHjxxllpXKarsqrByBsxpIwcMwzCOFH5o8dSLOFT9kJ0HUAm84447KF++fFStWjUh2BD3II1UtCADsEePHn736dsyd+/eTTfddJNwBFWBlkw4dI4aNUrcbtiwofI4+vsQQ4HKohatQJXuo3q0XzsEKmYYGXtjl+F0rEqbtVBZYUoQC+tzldC2utppF9McI0FqNts55IYa1HnkXMvdEBnvEAljJbz+VK9BVYWwTdViAS2j/7mmEvVtXp72HT9DG/49YbvFGLvBZlgMw9hS+KE9EwHuEHpo5YTRC2b5pk+fLkQRPse8HcB8HoLdr7rqKuWx0HqJAHYzYN4CE5inn35auf3ee+8Vx5HCUwoxVcyCVtihQqg3d9ELWjy32TFAnTp1yGsYzYvZFbsMp6OV0aiFCvdb0eoYC+tzldC2stoZTFjhZx/Li01UIc3Et74XItqmQ4y7iIWDsT6Ls2junHQxezae6bXJz4xhGGcTU+EHt8x+/fqJyh5C0CF8IPo6duwotqMN9M477xQCUNK8eXMRy4AgdjwO7Zyo1EG0IX/vpZde8jNh0X6OFtLatWsHGKtIvvrqKzHbJ1s7pUuoSrThuLJ9E+etbzPVCzucdzC85ugZqXkxrw6n44IHYhOCS54HKn0QfVas+MbC+lwltONyZLOs2hlMWGF7LAla7VRsj6bpEGN/Qn1viKWDsVYQisUYnejTL8akoy3bIYuHXnCdZhjGvsRU+KE90wxp7KIFkQxa906IOjh13nbbbVSkSBHffdrtAGIP4e8QkSrRJ4XoU089JcShdNlEO6p0GNWindlDJXLGjBkB+2irebKKqBWj2u04P6MAd61jqFuIxbyYG4fTIfJKR2nFN1bW53qhHZ8tm2XVzliZ5oRK0GqnwfZYn7eEW9Bi9/1Ge2R8juzifTeU9wa7OBgHW4zZdeQU3T52saMWD63CLj8zhmHsi23TSY8fP05bt24Vxi5atOHtALNzr732mjBmgQGMERB7aMmEmDQC7aS9evUSx4Eww/MjXkE146elcuXKQc1batSo4ftcdTz9jKAWBNq7jVjMi3kBK1d8Y2l9rhLaRtVOp5nmhAOyCs3E94WLl7J83laJM25Biy767/fgdkmUsis15HB0pzgYH9Ntd8rioRXY5WfGMIx9sa3wQ+unqn1SH8MAUxTM7KH1c8iQIabHRIXtn3/+MRWHqDCWLFlStGlu27aNnnzySREDoUfbQorWUFUVETOHcOuEOFXNH+IYOCf8Q9XSKMAdbaJwN3UTsZgX8wJWr/jayfpcVe3MqnAJJqywPZZgvtCo2vlqj9p057grlY/MmA5ZJc64BS26qL7fCEcfP2+7EID4HJl5CTlz0PJdqeJ+/XuDUxyMVREQXl08tMvPjGEY+2Jb4WfEqVOnlPdXrFhROYunpXjx4sIhVObmQbhpA9zRagnR99Zbb4nqIMTYDz/84JcrKIPhtVW7woULB5i7aCMaVBU+CEv9/UYB7jJewk3EYl7MC0RjxdfO1udZFS5mwgr328FFELOd+HpOaKqdEKQ5s2WjikXz0u7U05kyHYqkONOL70uXMrgFLcYLQBcuZdCHt9Wnz+dvp9Ezr3THtEwqIu4/efa8LR2MzRZjcO4puwPjlry6eGiXnxnDMPbFcVfXEGXfffediGY4dOiQqAyiLVQb5QCzF7iE6mnfvr0IjDcSkGj1BDCX+e9//ysEXsuWLf2OpWrp7NChg6mjKB5z+LD/GzGqfFrzF1T/vBTgHqt5Mbfj5RXfSAkXI2FlB9EnMTqXrJgORaparBLf4/o3Mn0Mt6BZvwBUsmACvTVtQ0Crp7z9eo/atnQwNlqMaZ1UlPq3rEAPT0oJeAxe9yUK5KL1+9NsmcVpFXb5mTEMY18cJ/xQRYPgk9U0GJ9ANM2ZM4eaNm0q7lOJPgChhX2NQAg8QLsnjn/11VeLAPfPPvvM8DE4HgSj2YwemDJlimH4PAg2R+g2Yjkv5ma8vOIbyTZXp14gZsV0KBLVYiPxHQy7L0g4zZRGtQB07sIlw7lq3H9OMR9qJwdj1WLMsJ/X0Klz/ouxOL9v72uudIz2QvyDXX5mDMO4RPjBHGXu3Lm0c+dOUTUrVqyYEEyYQ5MVMyuBwEK1Tz/z9+WXXwpHTjlXJ9HeXrJkCbVq1crw2IiEAL///rv42KxZM595i0Qv3iDYcHxty6iKXbt2Bf3avBbgbqd5Mbfg5RVfNjaIfbXYSHyjHa9dtWJUo1TBgPmyjfvTbL0g4URTGnw/u9YuQT0blKHiBXJR+pmLZLDm6OPk2Qu2djBWLcYM61aTzl7wXzwcfXsDGjZljWH8AxYW/0076+roB7v8zBiGcbDw+/rrr2nkyJG0dOlSEaIOExLMxB09elS4X0L09e3bl5555pmgs3ZZoW7dunTNNdcIp0sYqshK28033yxEqVb0Ae3tvXv3iugFIypUqOB3W7ZeaiuIqordjh07fAIUwhDfCwhB7b5Vq1YNeKz+tqxYegk7z4s5Fa+s+OKC/Pjp875WLlRhyibm9ptxc1JVyQ3VYiPx/e2SXfT1Pc3o5alr/ebLZIXfrq9Np5rS4Jye6lRNdFRIARSs3daJvx+qxUP8VTVzjD5+5jz1+WQheT36gWEYbxKS8ENFDwJrwIAB9OOPP1LZsmUDxNXChQvp22+/pUaNGtFHH31EvXv3tuSEH3jgAVFtlEg3Tczumc3IQZAhDN7MKAVzgsuXLxfCDfvD3EWawpgBoxgp4vAR0RJ6brrpJiGMjcBzeC3AnbEOt6/47jxy0u+iVl7EfXl3U+FsqRd/bm9zjQR4vbx7Ux06c/ESpZ+7KAQ12hrzxeeghBzZQ3o9GVUNb21STog+VRXmheQ1thVQTs1FQ06q/vcDVVeYoahEkZN/P/SLh4u3qUWfBNVPiZejHxiG8SbGA28a3nzzTeE4+eCDDwaIPtlOiaBzGKIgXL1SpUpkFQhZ1wKBBuE1evRo08fBBGbUqFGG4e1g//794mtA5Q8C7sCBA+LrCtaCiSB6s9nBQoUKmZq/gBtvvNF0O8MwVyp9+ovaKyJiNX3az7+y4YU210hx6uIlenbyauo8ci7d8uki8RGzUrjf7OcBEw1ccJ+/eIl+f6S1qLxqQXunURVGCig74tT2YVVOKiIb7mpZUYg/N/9+BIt/yJeQQxn9wDAM4wVCqvhdf/31IR+wSJEi4p9V6KtpEGiYNXz33Xd9M3oq4M6JzL9+/foZ7gMBOXz4cJo+fbq4jSB3PM4sH7BOnTo0bNgwGjFihOE+OD8zwQlWr15tup1hmMugvdOslQvMeLyNa9pco2Ussif1lKGgxmwUZtr0c1bhVl6dJqCc6pKrijKACQocMAe2qkjPd6lO5y9ccsXvR7hZnAfT/MdBvBr9wDCMNwnb3AXRCX/++aeYa0O1Dfl5iDMoUKAAWQ1MXVC569OnD3Xu3Jl69eolxBqEFdoocS7I05NOn1qnTLSgIgQdofCJiYmUmpoacPw33njDJ/gwvwiR+corr9ANN9xgeE5oB928ebNhviCA6Fu7dq3p17ZmzZoQvwuMHXCay5+bQAtiMBHRpKJ1i09uNRaBY6KZoMb2cCqv39zTlI6cPCfExaUgziJ2FVBOdck1ykGF+MOMZdfaJalmuURyI2ZZnEO71aTbP1sU8BjOjWWcBF9/MFkhrHe7r776igYPHkxpaWl+90OMoUXylltuIStZtmyZEJ6IV5ARC1Jw1atXT8waotqIFk19PALiHho2bCjEqlHcw3vvvSdmCO+66y7xdcKQBa2tCHA3qsjBrVNvKKMC84dSlBoJSAhNCE7G3jjR5c9NBGvlsquIsLuxSCiCOpzKK+YE6/2/uMDX4kQB5VSXXK/npKriH/B6hejTtxXj+4H3lK0H0/lCmrE9fP3BRGXGD8D0BIIIBigpKSlCpEB0weWzW7duwjhl5cqVZCUIYO/evbtyW+PGjYVxi8p1E8Y0s2fPFm6kMG4xEl8QcbNmzRL/QOvWrcVHM0GLY+XMmdN0xk+SNy87h+nBBSH+4KbsSqWth9LFbSdfjNv9/N0AHDxxsaYC92O7GwjFWCSWgjocoSgFFC5QtNhdQGldctE+nPxgC/ERt0va+CJL5qTqf0+8lJOKyl/1kgVE9R8fSxVMoGol8vvtI7P9hv68htq/N4d6frSA2r87hx6alCIusBnGTvD1BxPVih+MUSD6JkyY4Hd/gwYN6IsvvhAiEHEP48ePJ6vInz8/tWjRQoSh65HCC+HueuR8Hdo2ZVVPoq3CQThC/JUrV84vvy9YODtcRvF9gAg2IphBDL42r1X7nLhy5VSXPzeB14ZRKxfut+trx+7GIsFmo7A9K0IxMzEjdmlpcqJLLuekBv9+4DUF0ffX+oOOiutgvAlffzBRFX6Yj0NMgxEQU3D9tBrk+CH2AK2TaOeEKINwe+mll4Tjp6riJ4FwhVmLdv7v4sUr1s44DjIIEU2hFZNPP/20qBaihVQf4A5KliwZEF6v369GjRqGLaagSZMm5CWcmo/lVJc/N7ZyvX1zXdG+JUUEKn1uEX2xMBYxm43C/XpjF1l5NRKKqsprOALKiQtDdoNzUs2/H+g20Ys+ybr9aaKqvf/4mctC0cWB74wz4OsPJqrCb9++fWLmzQhsQ0C61cB1E+eir+ahEom5PDMGDhwozF0gHPERaMUZIhfatm3rE35yH1Qzq1WrJoSfSljC2VM/96jdD6IQx9bPHXpZ+Dl15cqpLn9uBBf/bhYAsTAWUc1GodKnF31WV16dujDEuONCGr9bX9/TTESb6B1r0SqLRQ07VKIZb8HXH0xUhR/Ej76qpQXC5syZM2Q1yBNUUb16dVNhJatwf/31l2jllKJOC0xa4PYJh1K0fSIbEIYwXbt2Fe2sqmofMvqAdAlFSyc+1xq+oI1z69atvserTF6wzS2E0p7l1JUrp7r8Mc4jVsYiKpEX7cqrUxeGGHdcSOP36+Wpaw2iTdZQl9olRb6lhCvRTDTg6w8m6q6eyLeDg6eKY8eOUTTA3B2MZY4ePSqEJoxVwKpVq0IKQf/nn39owYIFym1wBC1evLiYUyxatCgdOXJEtIZCCBoJv5MnT/q1haIFVd6WQhT7aOcEVeYyeC43EGp7llNXrpzq8mfGgbQzV+ZeuJ3JVmRmLs4NlVenLgwx7riQLl4gl6Fj7dwth2lAywp+93ElmokGbrz+YGwu/Pr372+6PRpVq8KFCwvxJkEoO/j777/FrJ0ZixYtogoV/N+wtciKJdo20dbZrl07qlKliu/5tBVFKQLx/CtWrKCkpCRh8iLR7guhilgIZA5KoahH277qVMJpz3LyypXVF+PRNLTYdeSkWLlWtTPBDIGJPU40FskqTl0YYtxxIX3yzJXZfxVnL/h3F1Utno9e7FaD9h0/Qxv+PSGq3miRLh1G9Zxh3LIYyLhE+AVro4wWiHR45513RLsmAttr1aolws8R4C6rf0YgoN0sjB2i7IknnhDumhB2yNYDKrGorfwlJyebOnJiX7R/wiBm27Ztyn3Wr19PTiec9iynr1xZdTEeTUMLVPr0ok+2MyGYGw54XPljYrEg4eSFIcb5F9LnL5pf7+SKy+4n+j7t14iGJAcuoGHWFe3QDBNJvLgYyMSo4mcHYCBz6623+mIbNm3aJD5ef/31QYUf5vtg7GLGoEGDqFKlSsIoRlYQg8UsYIYPM4ZTp0413ActoHAkNRJ+O3bsIKcTbnuWk1euINAw1wTXN6zu4kI4q8Is2oYWaO80C+DGdhZ+TCwcNp2+MMQ4+0Iai2JGjrUtk4pQyu4roy1j7mgQIPquzAOuFq9XrvwxDOM44QeBhTk+rfvkjBkz6NVXXxWVMkQlPP/882Q1MFv58ssvA1w9v/76a2ratKnpY2G4AlFnBExXsL1Vq1Z+2XtmLaSoDKKFExXHESNGmD4/Wj6NwNwf2j1VwtQocN4N7VlOXLnaeeSkqIhFenXXrGK6dGcqHTt1PqIVF8z0ZWU74w1i5bDp5IUhxtlgwQvt7nif14q/1klFaFC7KjRwwpVxkwsXM0wX0PA+WjoqZ80wDBNB4ffMM89Q7dq1fcJv+/bt1K1bN2rdurWIM0AbJQTQo48+SlaCWbl77rlHtEYiWxDP+dNPP4mKm3TjRDYf7ocTqdZBE4YrMpxdBR4LZs6c6TfzBwHYvXt3ZXA82jhh3BLM0RTH0Bvg6M1i4Fjas2dP5WyiE/BCexYqH3rRp13dhcNhZisgRhXTPPE56MPb6tMLyatpruZ5s1pxQYBxVra7GTa8sYfDphMXhhj3Br4n5o2nS5cyqFH5RN/fOXR9mMFGRAzD2ImQr+yWLl0qgswlqLAhuw9OnwDib9SoUZYLv8TERBo7dqzvNsRdp06dhPEMsvww87dy5Upxv75aBhFYrFgx04rg/v37leJwyZIlho9DVANEqBkQpbItVaJ3CJWOoHqaN28e9Ph2wAvtWWjvNFvdxfbMCzF1xXRgq4r0+fztAc+b1YoLLmLMArix3Yuw4Y0/7LDJeBV94LtEW4nOlfPygrHRol3RfLlo/f+HwUdqLIBhGMZy4Xf48GEqU6aM7/asWbNExU9y7bXXCmMUq/nggw9EpQz/YDiDWbwhQ4b4YiZQ+YPwMxOweCyqf6gM6tHm72mFGFw+jUB18cSJE6bnPXv27ICQd1QY8TWoQuH1+zkFt7dnWbm6a1QxrV+2EI2euSXiFRejdiYpcqyscO1JPSVCwuXFUD6DkPBow4Y3gbDDJsMYV6L3pp5SLqBB9I3r34iG/bzGr1ODTV8YhnGE8EOMAqphaLWEWIGAevzxx/1m7YIJmEgg2y3lcyFkHf8++eQTuu+++3xOnEasW7dOPBZGMHrhh6ocHDzXrl0r2jdRzYRgg6iVqMLXu3TpQhs2bDB8TojMLVu2BDxO//xyptDpuLk9C6u1Vl0EG1VMg5EVsWnUzmSluDGbkSyUO2fUnCNVsOGNtS3cVpgiMcbw99v67weMW/DehVZ/rfh78Ybq9NGsLX6iL1JjAQzDMJYLP4ifV155hT766CP63//+J8SfVhBBUJll5FkNXD4h+n7//XffnJ8eZPKhPRVCTCVSZdQDvg4Eue/Zs0dU8tDCKvdXGa3A5AZuo0bgexUsYxAEM6dhYg8uFszaI7E90hXTS0EWVLJacTFqZ7Kq0mc2Izm4XRW69dNFIc0xWnERx4Y31rVwW2WKxKjh73f0vh94PH4X8P4g37ezZyN6bvIaS8YCGIZhLBd+r732GnXs2JHKly8vhNWHH35IefNeebOE0yYCz60GsQ2Ic2jcuLGY56tcubIwmsHs348//igEn1FrJGYU0cqJap+2pVMCkxi0d9asWVNU9iAQ4fD5+uuvm54TDG8+/fRT8Tkeo888TEhIEOetQu6PamOwqAkm9uAPtWp1V15AROIPub5iCldFt5jmoL3TrKL2TOdqIc0xWnUR5xTDm2hm6kWihdtKUyQmEP5+R//7gcqf1r1z8Tb1+5yEZ2MZhokFIV/FoAoGJ020QcIgRS9SXnrpJb8ZQKuYNm2a3+2kpCRhrpIvXz7fTJ6q2gf69etHf//9t1L0AdyPMHi0XKKyBzH22GOPUdu2bU2dNT///HNfi6kq6L5r166UK1cupSiUtzF3yDgDCAtcKGDFVl4Eo+Jk1YWUm0xzgs1Ipp+5GHSO0cqLOCcY3kQ7Uy8SLdyRNEWKtuh1IlaaUDmRWHw/rBwLYBiGySxhLV+jCoYQchVG91sh/GDmsnz5cl8oO0ArJUxWzOjVq5eYUzQCc33ICTx+/LjYDxVNtLOaOXriOeEmitlHI86fv3yxaxb7gOdMTU0VlUvG/uAiIZoXTm4xzQl2MZQvIUfQ1XErL+JiaXhj50w9u5gixUr0Ok1scsRA7L8fVo8FMAzDWCr8IJpUwE0Tc3PI1jOLSogUcOyUok9b3RszZkzQlkwIOX2Wnr4lE8ILURA4LiqAqBJqHTv12Xtydg/fA8wEqpDnC+FsBiqWLPwYN5vm5E+IM70YOph2NujquNUXcZEyvLEiCzCWmXqxrn7ESvTGSmxmBa42xf77EY2xAIZhGMuEn4xL0AMh9dlnn9GIESNEGyXm7qwEQfL4J0UY2jERLH/VVVeJKAeYsiB6Ai2UepMXzAWi6qYF836yIgfBh0rfb7/9Jm5jvg/tmddcc42h8Dt58qT4mD9/fsNz3r17txCR8nmAqu2TcQ5OqwDYBUQ2GF0MDe9ei279dGHQOcZoXMRl1fDGqixAp2bqRaL6EQvR69QKK1eb7PH9iPZYAMMwTMSEH+bYjICAuffee+m5556jX375hawEs3SIRnjzzTfF7euuu4527txJR48eFaKsUqVKdPDgQbFNK/qwrVChQqKdUnufVoxh/4kTJ/r2kSYxCKeXQk0v1lClg/gL5tq5bds2v8eqRJ9b4hzcTqQqAMh/QjVIulKiGgaDALeDiyF8r2D0Ii+G8LXHZctGNUoWCDrHaPeLWiuzAJ2aqReJ6kcsRK9TK6xcbbLP9yPaYwEMwzBmRMSiDqLo4Ycfps6dO5PVIKtv0qRJvts//PCD+AhRBzZu3Kh8HKp0d9xxB/Xo0cPvPv0+aNfE1/H222/75vYgECH+VqxYoTw25gwRJ2EGcv6CVfhOnz7NrZ42J1IVAK9brRuFtYcyx2j3i1orswAjmamXmSiOE5qFinwJcYY/RyuqH7EQvU6tsAKuNvnD3w+GYZgICT85P4dWSatJSUkRQgzVODhvor1z2LBh1L17d7E9LS3N8LFox9y3b5/p8ZH1J2fxEBUhgRjEfKEq/2/WrFk+4alF2xaKx0IgGzmOgnnz5lGfPn1Mz4+JLRAlOw6fpCmDW1Jcjux04vTlVs/zFy/RoK+Xh1QBQKXPzJUSFS4vVP6yMseYmYs4K2buop0FGCuH10gtVGSl+hEL0evUCquEq03+8PeDYRivEzHh9+effwqDE6tB5UwbpI6ICeT6oRV1wIABprEIEGGIfjACj+3bt68wioFIw0fM5j355JPi68PjtTOBADODyBFUfe1akYjZwSJFivgiJ+AGqhfKqCiy8LM3Z86fpy/ubkIvJK8JuAjG/afPBq8A4MLfrCKE7do8KCbrF3FWzdxlKgswdxxtPZie6fnQaDu87gmyUAEhGk7lz0miN5YVVoZhGIaJmfCbMmWKYQzBsmXLaOzYseKf1aAiB+GFOT4IJ5jOQET17t3b58wpM/X04P6iRYuKlkpVdXLw4MFiO/7hmBBpiHNAdXHVqlViHyn6ZDXv3LlzoooYbD4PQrJcuXI+4ad6frNqpdewq3lKgYR4etbgIvjF5DX0Rs/arrdax4wjKm2y5Q8/Hzuvols5cxduFmDrpKKUsvOYOJ+szIdG0+H1RJCFCmyPFtEWvW7K0GQYhmGYkIWfdjZO3z559dVXC9GHyls4vPHGG/TTTz+JKl7u3LmpRYsW9NZbb4njGYG5OwguKd7wEeITx7nzzjtNK34QhZizM2pJ/fLLL+mFF16gu+66S4jA0qVLC+EHYxb9cbXVPJjBHDmivjDSCj8Yz5hlAvJ8n/3s0/UC9NyFS6YXwennjFt53WC17sTZRCtn7sLJAmydVIQGtU2igRP/cZRDpN0WKqIda+KWDE3G29h1MZVhGJsKPyuiB+bMmUODBg0SMQto3Xz++eeFS+e6devEzKCKAwcO0Nq1a323UXED7777LrVu3dovc08l/NCSmStXLtq8eXPAHB6iKdDWeeONN4rbMIORj8Nj0PYpgVBF9Q/njUoiZgx//PFHw+fGvqr5QC316tUjr2Mn+3SVAP3uvmZZvghGK6CZK2WwVsFYge+HWcsfZu6yKsytuDixcuYunCzAhJzZqcuH8+iUYnHAzg6RkVyocOrFpxsyNBnvYqfFVIZhYktMrzAhsN577z3asWOHuA1RtmvXLtE6qs3Ok0yYMMFP9GmFW5kyZUQ10CwfDwINmX+LFi3y3acVYzB1QXVPhrxv2rTJt00r+gAqjeXLlxdREohzwPPrgWA8c+aM+Hzv3r2iTVULWkgRAyGD35FJ6HXsYp9uJEDzR+AiGMYtZq6UdjV2QXunWeUM27NyEWHVxUnQmTuLhLY+CzBlV6pS9Nm9xTd/kIUKbPfqxadThSzjndeOnRZTGYbxuPBbuHChEEYQaqioyXZJZPKFihRua9asEUIqX758YlZOijItqNKhfdNoBhDVO4S245xwHFQeYRiDFlRpJqNFHh+isEKFCr77pfiUog8gVB7HkchweSn6AFpeO3bsSF7GLvbpRgL0wsVLEcmQQ1skZoRQDZLtYxAgdhV9Vrf8RfLiRH9BhX/tqxWjGRsOKX9mmMmzAv15FM4TT3nicxiKP7u2+JYJslARirGLGy8+3Shkmdi+dvA3Ae8RkRSEdllMZRinctxlC3wxFX4waEF7J1o90bJ5/fXXi/vNIhdkhU9W0+CyifvgminNVoBe9MnHwmBFVvf0Yg5iDMHwqCpWrFhRVPxg9FKjRg3TGAbw2Wef+T5XVRzR6vnHH3/4bquOJ8/dy9jFPt1IgL4weTV9eFsDeiFZfRGcM3s22rA/LaTIAIg8J7l3WjmbGKmLE6MLqld61CKitX7iT7p6WhHpYHQe4wc0poET/gkQf3Z3iMRCBQTNCc1CBSp9obp5uu3i041Clonta2fpzlTaefQUjZm5heZuidxigl0WUxnGiexz4QJfTIXftGnTfJ/ff//9PjGEalswtNU0RCpAWCFWQd4vK2paIBKlIFRV8LA/DF5gEoPqI445cODAoOeCCp+ZaQsoVqyYaGE1A06iXscu9ulGAvSRDlXplalrqV65RLqrZUU6e+ES5YrLTim7j9ErU9dRu2rF6fnJayyPDIgFqGZGotpp1cWJ2cU4HFfxRv0U3Ej/f+YOlT4rRJ/ZeaA/4cWuNei5n1Y7ziEyK5ENbrv4dJuQZWL/2hnYqiKNmrk5oJ3ebDEhlEqEXRZTGcZpHHfpAl/MXSRWr15NDRo0EEJMGrrgtgq4fWKOD3OAWrEGsQdhJaMS5P160OoJcxgz3nnnHbrppptEBRHng1ZPiEEzECkR7LiFCxdWtphqzWWMIiFUItWt2MU+3UiAFi+QS1SNVG2D4LYmlyvKWYkMQMA7xImMS8hvkxZQrG6ZtfxlbQ4v6xcnwS7GT5+7SNVKWj9Ha3YeuH9o1xo04/E2nnKIdNvFp9uELBP71079soVo9MwtIS8mhFqJsMtiKsM4jcMuXeDLlPBDK+OWLVtEq6a+rVFlymIEBM9HH30kRBE+PvPMM6IihwqaiubNm/uJPnku+IfWzWBgH5nHZwSMXWbNmiVmDvHv5ZdfFh/NgEELzF7MwMyhSsBpzWXq1KmjfKzWjMYL2ME+3UiAnjxj3vKLCmCokQGq1VoYpDxn47gEnAPcO3Ge8mcDcRqu6NOL23wJcVm+OLHLxXiw8zh59oKoGHsJt118uk3IMrF/7aj+dhi9f4VTibDLYirDOI00m1xTxFz4QYTcfvvtQqDp4wlQvQo2C6cFUQ6TJk2in3/+mcaPHy9MUlDtQzTDuHHjwjovVOeuuuoq033Q/mmU4SeBAQuMWlBZRORDoUKFxOPMwDn/888/ARU8bbspRKv83Mh5tFSpUsrj47Hz588nL2EH+3SVAD1/0fyPM9o+Q4kMUK3Wtq5SlB68tjKl7LrsKquPS8Af6VArf1YOI+P7kpXqnioLEOYrmMNDS2ZmL07scjFul/OwE267+HSbkGVi/9ox+tuhet8ItxJhh8VUhnEaBVz6tzxs4ffAAw9Qo0aN6NdffxWVLrPA9GB8/PHH4iNC0iVwucQsngStloh7mD17trjdp08fIT7R1gkzFDw//lWvXj1oTh6MXbQGKohPgAOolt69e1PNmjVFiPuQIUPohx9+oKFDh/q2ozqpdx1FRARaVgHOQQo7rQiWpjJSEOI4cPrU3odWVBXBhCcTPQF6IO2M4Zxby6QiYtYvWGSA0Wotbl/KyBCzHvqWHzwfxGNphw8jo9KnygK83Dq7ll7vVZvOnr+UqYuTYBfjqCpuPZhuuTMXiwI1brr4dLKQdZtDndO+r0avnYMnzorFv7khvG9kphJhh8VUhnESRV36tzxs4YcqGMRQUlJSlp8crZ1wzlywYAGNHTtWVLXeeustGjZsmG8fGLa0bdtWfI62S1TW4Pop2yYhtIoXLy6qdCkpKX7Hb9q0KS1evNh3G+Hwf//9t++2XvQBxD1AaMJtFDN3HTp08PtaVVETeH7M+UlU1bxKlSr5PodpjFb0Aa3YZewL2jVh1gLxohV/rZOK0oNtk+juiZcrv2aRAWartRBEA1tWtMTgxA7DyBCvRlmAEH9PXn+BqmdyDs/sYvzVHrVE1fSv9QctF8M4Dzyf/jWC1wHu9/LFl5suPp0oZO28KORkMRfu99XotdOmarGQFhPcWolgGDtR0MELfBEVfhBTmO+LhPBDi+fGjRtFRQuVPVTt0PqJLD2AllJU91BdBKmpqbR7924hrCC0jh8/7jNswb5610yt6AO///67qFbioxGo3Ml2UMztPfnkkzRjxgzTrwPVyPz585vuo3pOWa2UmX8QtEbtnox9gEMnzFowt6d1iDx3/iI1KFco4GJfHxkQbLXWaNYjEgYnsR5GtjIL0OiCCpU+veizUgzjYvHlqesMnV/f6V3XsX8wGOcKWbsvCtmNUMVcZr+vqtdOwTwU0mKCWSWiY/XiUetuYBi3U8qBC3wRF34PPfQQPfHEE6LVEi2O+kqVkUGJCgSWA1TvEJ8wb9488e/zzz8XQnDv3r1CDHbt2lWIq/fff1+0gk6dOlWIPhn9AIEGsYb2Sb2g0lfzjIxjALIB8fwQjNgPz4Hq5ooVK0y/DkQ5QBBLVDN8CKvXImcBte2peN6ePXuG8J1jYg2EnMqlUyUI9fsFW61VzXpAQGrbRZ06jGxlFqDRBRUugPSiz0oxjOPh+YyeM9bim/EmsVwUclp7aThiLtLf11AWE4wqERB9iIt58n8ruarLMB5c4LNE+CHqAGjz7aSICdfcxWwmD6Jr69atooVTOwMIAxfM5uG5IPjkzB5EH4SdPK48Nhw5YRojz9PM1RNVN8Q4dO/eXVQSISZbtmxJVapUoZEjRyofg4B3iGBtBh9En9bkBcCNVBsaL79fch98ro2jYNwlCENdrcWMx8G0KxmVWlfPUIxd7N4CBPFqlgUYirgNl2iLYbuLb8a5ZCXq5fjpc0G2W/O6dGJ7aThiLla/70bdDXrRJ8+Zq7oMw4Cwr7IwcxcN0Mq5du1aYbSCdksJKoOozMn5vBMnToiPEE3t27cXFUjM0Emk6ANoKzXKCJTgsTB2QWUTYhKizyxOAbN6mPHTCkq96JOiEtVJxEVItPsEM6ZhvNM3jtfC74+09v0xLxDGxZ3dh5HxdZhlAVqRVxhtMWx38c04E5UbbjhRL3nizf/c54mPvImYU9tLwxFz0fh9h6mYr5Mkdxwl5rncSaLqbrBzqz/DMA4UfsijixYQf2jt1AJzFszCSWRLJcThnDlzDCuOiHtANS9YJh9aS5Hjh4tvVPNAMOfSxMREvxZSlYjDsczaTM0C3N2M01qAotU3XiqKw8jRDozHRSrOBc+ZGXEbLtEWw3YX34zzMHLDDSfqJXv2bMJ5WGWuhPtzZM+8Q7dTZ46NCEfMWf37vvvISZq35TAVL5Ag5oXTz16glJ2p1CqpKJXVCX7uNmAYJiLCb8qUKdS5c2dRTcPnZqBN0krQzqkVfhK0ZsLcReWoCU6ePCnaLFHBM+PGG2/0OXQiPw9UrVo1qGDTizb9nF+bNm0oOTnZ9DjaOUEv4MQWoEgK1kj0jatWgsMZRs5qFSGz4CI1lGiKSICv+92b6tCZi5co/dxFIXDxM8sXn4MScmSP+IWnW53AGLKlG26oUS9x2bMJsyGgPRZEH+63Qvg5VYiEI+as/H1H2//eY6dp6ur9AT+zikXzUa6cOYQglHC3AcMwERF+PXr0EK2UaGnE50aEO+OXGWCAAgfP7777TlTW5Azf/fffL85RG5quB2Y0Dz/8MFWrVk0YxmhbQiX169enRx99VHwuDWTKlCljek54bjiLfv3117779AL0jjvuEM+tR54vhKKXHD2d2gIUDcEaagVu15GT9JxCtMFFFM6jwb5/kagiOIVTFy8ZClwrcKMTGEOOdsMtkjee3vhtPdUvlygiY7Rus98t2SXcZiONU4VIuGLOqt/3k2cv0KhZWwLeo+XtV2+s5Xc/dxswDBMR4acVMUYVtWiByhny/iD4MDcnzVJgroLPzYRnfHy8r/pntB9m9Vq0aCEqmwcPHhTGMtOnTzc9p507d1Ljxo1N90GLKp4fhjRa5HlAxMKoRp6j23FqC5DVgjXUChwqfXrRJ0UbHg930WAmM5GoIjiBPUEELi7wylggcN3mBMY42w0Xr8WXbqwl3qdGz9wSlUq0k4VIuGLOit/3U+cvGr5H435s159DuNVHo/lBhmHcSeQt9Cxm7ty54iNEn1Y4jRgxQoS/SyAEZR6fBMHs6enpdPPNN/tcO7XzeDCNqVu3rmjbREspBGb//v1FxIMZmAm87777TPeZOXMmFSlSxFdF1IPzgJkNKo5ewKktQFYK1nAqcPhDbSbasD2o8LM4U88unAgicLGdiS188RkdN9xoV6Kd3vYc68Wbk2fNO6hOKbaH8zMO1jXCMIz7COmvxbfffku33nprSAdEwDqiCxCDEIw33niDfvrpJ5HnByGGShvE29VXX234GLh4pqSkiDgJBMlL4JbZsGFD320p+rSzdnAEXbdunbiNqp+eMWPGCBMW/JP5hK+88ooQgFr0rp04pj4sXuX+qTV3UTl/einOwaktQFYK1nAqcPg82LHskKlnB7wicJ2Kky8+UU0+oWnLhp2+FdXjzLrhGs0iR1PMcNtz5ufEsQhiRn6D7aH8jCPRNRJpvGr2xjC2E34ff/wxvfTSSyLmoFu3bsL5UguqWBBHX331Ff355580bty4kJ4cLpyDBg0SbZJo03z++efpuuuuE0IKLpxG5jGosOlBhQ+mLPpKn7Y1FbOA+sB5rQhD1Q6zf5hlXL9+vcgQLFu2bED7JfbVzhKiRXPChAkBx9WKTnw9+igHlfhzA6G8eTu1BchKwRqOQAm2wh9KBSAWmXqxwCsC14nY8eIzlIpkkTzxos0umsZI4brh2sk8K9aVM7sJkVB/Nqh8t04qSnO3KDJfk4qK7ZklEl0jkcROr1eGcTPm+QIagYZKHERdrVq1RIA63DFhlgLjE7QwogJXrlw5WrNmTcjOntOmTaMBAwaIrD60WEI8oVoId04j/vnnH7/bEE/PPPOML2sP0QpGYN/NmzcH3I95QWlMM2zYMPrjjz/E57179xbbcU56tIKyUKFCyqw/7T44L5k56OY4B7x5D56UQu3fm0M9P1pA7d+dQw9NShH3q1qA8Mauxe4tQFKwqsiqYA1HoCTmjRcXmSpwP7aHWkXQH8fKTL1YAHMcs+8VtjOxIZSLTztUJB//fgV1GjmX+nyykDp9MJcOnzxn2paNSqAV4HeyeskC1KRiEfHRrNJnNouM7dEEz4eMuZRdqbT1UHrUn9/Kv2XhEs7PBsLrtZ61qLXu/Qu3cX9WhFkkukYihd1erwzjZkK+4oGYwz+0LGLmDYYmMCpBWyTm0vAvWE5dMOT8G4LTjcCMnhZUzCBKUZV7+eWXTStoqNLt3bs34H5UCuHKCbZt2yb2gRDE3GCXLl0oNTXVt6+s0mmrdfgeGM3uaecHpRGN9ty1lCxZkpxMuMYnTmwBsnJmJZwKHP7goxXueUXrF+4P9YIg2pl6saBMkDY5K1rzvE6olRI7XXyGU5HEO7ed50btZJ7lxEqOlSZe4f5s0O78Tp96VyrOCXFiYS+r1bhIdI248fXKMG4n7N9siByzSIfMguoYYhQwG4iqYrh88cUXQvgVK1ZMmfMnhd/vv/8ecL8UfQAVTLSaYqZx0qRJAVU6Kda0oe74nsAB1AyZDWgGBKaTq36ZefN2YguQVYI13DkeXBC8a3BBEE6LUjQz9WIFBC4uNHFBLn9mqPSx6Ivthb6dLj7DqUiesPncqF3Ms5wa22OlEMnMzwbv6ZFuu5RdI0YLjaF0jbjt9cowXsA2PU6Y9UObaDAHTQgzVB3ROrl//37q1asXrVy50if2zCpvqLrp4xSAnNfDR4g4VBBvueUWUcGE+GvQoEHAY+R8Hx6D40ogCOXxVCLRzXjpzdsqwWpWgVOJOdUFgRNX2KOBXUSemw0Mwr3Qt9PFZzgVx/w2nxu1i3mWUys5Vv4ts8vPJlJdI5HALt8ThvECthB+gwcPpqlTp4qsu2Bh6UePHhUtk/gIkLEnHTphyKKPcNCSP39+qlixYoC4lCIOAk1W3BCtgNswm0G0gxEQd3iMNKPBbVVLJ/aRghAGM/ioz0R0crUP8Jt3ZFBV4EIVc05dYfeKsHK7KA/3Qt9OF5/hVBwvXLxkKlhjPTdqF/Mspy4GWvm3zC4/m2BdI9HETt8ThnE7WRvKyyIQRBB9kydPFjl3EGXBQBUOokmKtfPnz1O+fPnoqquuori4ONOWy44dO9KNN95ouB2CrXnz5j7hB4fQfv36iWMbAfEmH2NG06ZNfY6iOGe96MO5mxnTOAErjU+8TDiD76FceLsZqwwZ7GZgYFezjMxc6MuLz2mPtKbv728uPuK2HaIcjEyUBn29nF7tYWyMFOvqsl3Ms5y6GGjl3zK7/GwkEHnVhGFQYfExFostdvue2AW7vs8zziYu1u2d33zzDf3888+iGidz7DAPh1w/FQ8++CC98847vvZJiDPEJKA1Uwo0o5iEypUrm87aoSJXr1490ToKbr/9diE04V4KYaav5EkQR2EmDgHEKb4mfX6gPFczUxqj57UbTg/rdUMVxakr7JHA7tXOSLW92blqmNkLfStmmCKBUUWyfJE8lDMb2Xpu1A7mWU6t5Fj9t8wOPxu7wd8T57zPMx4Vfsiu2759uxBTEEWZAfmA4Nprr/W7//PPPxcxDwAfd+zYQbNnzxa3ly9fLvIEETGBAHc504f8PcRMIJoB56YCLZ5t27Y1PB9UEe+++25q1KiREIHJycmi/XL48OGiYqcPctee7wMPPCBiIPT5fZKPPvpIfK8wn6jdRwo+PDfmFEuVKhVwfFVUhF2BHO9cuyT1b1GBzl64RLnistPBE2fJbUSznTAcMefUFXYvzBNFQpTbXdw69ULfCe1wmSHW5llOXgy0WojE+mdjR/h74oz3ecbZhK3YMEP30EMP0cSJE8XtTZs2UaVKlcR9mIV79tlnQz5WKOHlEJdasYZ2TeT26Y/x/vvvi21m1bOqVasaBsPr90NbJkQaROmRI0cCsgW1Ae6//fYb9e3b17dNij5t5RGiETmHixcv9u2jF4iYcYSbqB60khqJTru9WT2teLOSf+jd8mZl9UqcXlQWzhNPeeJz0Klzl19vZmLOjRfeoWL3amckRLndxa2TL/TNsGtF0gk4uZLDQoSJBXZ/n2c8Jvyee+450QqJClynTp1893fo0EFUxsIRfsFANW/r1q3066+/+u7DbRUIUYcYMxOTFSpU8LWTGrFnzx4hNM+cOSOELIQfIiBwW4sUfQCZhiphpj0XCOSyZcsabgeqjEGAr8sJeOHNyuqVOCNROeGuxrRg6xGqXbqgqKQm5MxBy3el0sb9aX5izq0X3qFg92pnJES53cWt0y/0GWtgAcUwoeOE93nGQ8IP7Y/fffcdNWvWzC+moGbNmoaiLLNgHg9CTAvaJZOSkmj37t109uxZMRtYp04dMScIIQWRBPMUFX/99VfQkHmITZn1J/MEg2Xw4flgTmMGZvs2bNhgKvyCiVI3vlnZ2YEx2uLWSFQu3ZlKlzKIlu04Sh/8tTnA+VD/fF698LZ7tTMSotzu4lbCF/oMwzCZwynv84xHhN+hQ4eoePHiSmETjbw6zPVJ0QcQsI7K465du4Ro01fmtGAusHPnzqbHR44fcvnwtaSnp4v75EctaAWVAhPiU1+t0xvM4JiYVTTDKZW9SL1ZOXF42cqVOCNRObBVRRo1c3NAkDTMJl5IXqOsMnrxwtsJ1c6sinK7i1vGeYtZDMPYC36fZ2wl/GB8gtZLzPQBKfbGjh0bUqxBVkE1Too+yYsvvigMUPr06WP6WIjTzZuvVExUoM0TLaEQbZj1A9qICFT/Ro0aRf379/fdB0MWffVOfxtto8EqorLC6IU3K6cOL1u5EmckKuuXLUSjZ26xrIX2QNqZK8YVueMoMY8zjCtUOKHamRVR7gRx62WcuJjFMIy94Pd5xlbC7/XXXxdVs3Xr1omYgZEjR4rPFyxYICpqVqNv/ZQgAy9YxVFbxTPitttu84lDuHVec801fq2jqCoi20/L1VdfLeb8zLj++uuFeYsZaJf1ypuVU+cBrVyJMxKVmOmzqsq468hJem7yar9qomwhtUOOWmZwe7XTCeLWi1Uvpy5mMQxjP5zwPs94RPi1atWKVqxYQW+++abIt0OEQYMGDWjhwoXittUggB0VR1Te4LYJp0y0ebZp04aaNGkS4LippVq1arR+/XrT42/btk20k95xxx301Vdf0ZQpU6h69eqmj8Hzrlq1ynSfUL43NWrUIK+8WTl1eNnKlTh8nzpWL05XlywgqnzSxAX3h+rqGW6lTy/6ZAspcstgYe/Uyp/bsbO49WrVy6mLWQzD2BM7v88zziVTAXwwWPnss88oFsDEBUD0AYg+aYyC1kyzoPXnn39eVPwgUlXEx8dTw4YNhUPp0KFDxX2FCxf2tZYaBcOjSgjDGzNCCWFHVAZyCL3wZuXk4WWrVuLw+Be71hBiTNva2TqpSMiunuGA9k696NOKP2xn4ceEg5erXk5dzGIYhmG8Q9jCD5l1qKihdVHL9OnTRSZdMPOUrPLjjz/S1KlT6aqrrhJVRwg9iDG4jAIz4QfBV7duXZ/I0we9o9USLaMQYLIlFAJTGsaoRB9MXooVK+bnFqo1fpHPpXXsxDmiIqly9cTzewGnDy9bsRKHi+YhyWsCxNiyXcfCcvUMFcz0ZWU7w+jxctXLyYtZDBMqXmzjZhg3YZ5toAA5fao2SoiYSGb4GYE2TMzeQfQBiDycz3333Udr164VIq1IkSLKeb/evXv7nDX1og+gDXT//v00a9YssR3VN7SWHjt2zPB8pMjUzh7q4yT054LHhBJe72ZkyyREnhYvDy8Hc/Wca+DqiT/EmaFAQlyWtjOMHi9XveRilgonLGaFC953th5Mp5RdqbT1UHqm34cY54A27sGTUqj9e3Oo50cLqP27c+ihSSnifoZhnEHYV3YwPlHNomF+DqLMajBTqALVRkRNSPdOVOC0AhVVNswBTps2zfDYqMxNnDiRbrnlFl8oPIxc8uTJ4xcirwUCDi6gWqdRfUsotpUoUSLo1xbKPm6Ch5dj6+qZmDdeVA0hIPXgfmxnvEdWVvS9XPXykhOfV+c4vYyX27gZxtPCD6YqMECB2NEC0Zc3r/UugIsXLzacOzx8+PIbEgSfviqJdkwIMrOsPFQLISC/+OILcbtFixZCQCLCwggISrS5duzY0XefqprXtGlTwxlBOUvoljbPcC4ceXg5dq6emN9DqyiMXLTiT7aQ8nyf98jqBb3TW7izihcWs1gAeBMvt3EzjKeFH1ofH330UZo8ebIQW1L0PfHEE9S9e3eyGimcpHOnnOl75JFHhLjT7qPlwIEDNGPGDNEOagTaO6+77jqfuIQYA6tXr/aJNghBiEMJnhsB7rlzB14UaYUesv7MhB8C3t2AV1aCrZhzMLpozhWX3bIqCiIb4N7py/FLiBOVPhZ93iMSF/ReqnoZ4fbFLBYA3sTLbdwM42nh9/bbb1OnTp1Ea2eZMmV8822tW7emd955h6wGbZxAVvTkjB1iF+A0inbJpKQkmjdvnt/jINYg6J588knavXu3iF9QmcBAUOLxMix++PDhYsZPCjat6JPguBDBmzZt8rtfK/KQ84eK6IkTJ8RtvYDUmr84Fa+sBFslbo0umg+eOEutqxRVXmxFoooCkecmocfmA7G9oPdC1cvLsADwJl5u42YY8nqrJ8La//zzT1q5cqWodNWpU0cEnUcDCCc5S1i/fn0xhwdhhrk8VNRQjXzuueeUjz169ChVqlRJmLgYOX9CgKGVNV++fKJKeO211wqRu2bNGpo9e3ZACymEIh4D4QuhaMQHH3wg8gCXLFmiFJC4vW/fPlEZdCpeWAm2WtwaXTS3qVrM01WUUPFKxdnuF/R2qnrxQkBkYQHgTbzexs0wbiFTtn0QWGiJxL9oM3fuXOrSpYvvtnTc/OSTT8RM3j///KNsp0SFDaJr+/btdPr0ad+8n0oA3nXXXTR48GAhEiH8pFOnys0U98G85f777xc5gQDHhiGMrE4CiOQHHnjAJ/xUJCcn04MPPkhOxQsrwZEUtxApx0+fp7TT56lg7pziohTiRHXRXDAPcRUlCF6pOFuFGy/oeSEg8rAA8Cbcxs0wHhJ+H374oYhLwBwaPjfj4YcfJivRt1NKUKGDkFuxYoVyOypqaP+EuAIQhyrRh/snTZokPsfXLJFB8SpQ8cM8IL4/MIjBMbSiD+B+OIQOHDgwIOZBClWIQicLPzdeOFolbnceOSlMVebrTFVe61mbyhfJa/sqih3xQsXZStx2Qc8LAfYRAFx1dQfcxs24meMeeZ8KSfi9//771LdvXyFs8LkREDJWCz/MFSJOArESqMLdfPPNNGTIEJ/w+uWXX5RxEzBggdCDGYxZyHvJkiVF1VDvIJqWlmZ4TuPHj6cXX3wxIL9PC55PX+3TVybR6ulk3HbhaJW4RRVCL/oAnDWHTF5Nb99cl6sRERbleeJz0KWMDJE75vY39czithV9XgiwDrw/jehd94opVO44SsyjNoXiqqu74AVIxo3s89D7VEjCD+2Rqs9jwXvvvUfr1q3z3f7hhx/EPwhTBLsbCU/MBqLdc+HChcLgRQbAq1xLn3nmGbHvwYMHffdXrFhRzAgaVRtRTdS2gkIEIxdQ5vudOnUqQNhhH8xMynZVfZXQaeCPAS4QZ286RMXz5xIxBAk5c9CBtDPUtmoxV/yxiIS4RXunXvRpxR+2u+2NJlqiHAIPgffIPpSvv1V7jlHdMoXo5V/W0lzN992tb+pZwU0r+l5oPbf7RRJXXRmGsTvHPfY+FdaMHypaMDqZOnWqMCqJBTCWUQFzGYirjRs3Gj4W7Z779+8XURQqihYtKoLaIfrwb/78+cLQBRl8y5cv94uRkOTKlYuOHz9OGzZsCKjmaUPdUfHDfvp9pOgDMo7CyaCG+duq/TR3i/8FAcxJ3EAkqiKY6TODL0gzBwTK5wMa06iZm/0C71snFaXmlYrQsl1Xftfc/KaeVdyyou+F1nO7XyRx1ZVhGLtz2GPvU+YBYTpy5swpZtUixRtvvEGNGzcWbZjFixenHj16mAo3M0aNGiWqZzIuwQhU2YyqlgiAx7mAsmXLio/I/YNok22Zci5PAnEHMRisWodWVERImIHvhQqjtlTbXhBoRJ/2ggDb3VQVmfF4G0p+sIX4iNslQ6wcoc3QDL4gzTyjZ272C6MHeD1CCN53TSXDN3XGfcjqvAq3tJ7b9SJJwlVXJhxwjYB2/JRdqbT1ULprrhkYe5PmsfepsIQfGDRoEL311lsRESNz5swRx1u0aJGIh0BFEU6hZiJqxIgRotqI9kpZpQNdu3almTNn+lXQULXTC9ciRYqIoHYVqGZiTrBmzZrUvn17cR9C3yEGISqB0detre6paNasmalBDOjQoYPyfnx/3HZB4HSw+lO5eD6qVy5RfAxnNQgOnjByUYH7sd2JxPqPNvIOta2cevHXKqmoJ97UGf/qvF78OXVm0YkXSVx1ZcJpHx48KYXavzeHen60gNq/O4cempQi7mcYKyngsfepsOMcYHwCMfTHH39Q7dq1RSi5lp9++inkY02bNs3v9oQJE0Tlb9myZYa5gBCHEGKIS0hPT/fl4dWtW5emT5/ut68qbF1/vlrQronZP2Tu1atXT5jAYJ4Qx9G3aWrBc1epUsX0a4WQRFXSDDyniubNm4u2U7vjtVWTrFQM4d4JI5d5CldPJ86chTsYjbnPUIwhwuFYkBbaC5cCY17c+KbOuHNm0YkXSV4w/GKyjtdmrBh7UdRj71NhCz8Ept90002WnIwUV2iLNBNHqAg2bNiQevXqJdw20X6J+55++mkRN4F2VJVzJ6qDyPAzQ1b2kN8HwYcKoAyMNwImMEbVOgnOae/evab7YF5QBVpJnYDXVk2yAiIb4N4JIxd5QYpKnxNFX7h/tHcdOUnPKaIsXu9Zm8oZRFmEQt54898TGL+45U3dK7bTkcAtM4tOvEhym1MsYw1em7Fi7EVBj71PhS384JxpBRBZjz76KLVs2ZJq1apluF/r1q1F5IIE4g7CqHz58kIwSuMVVUsmoh8gruDAaYSMbUBsBM4pd+7cftmAqDTCREbLVVddRSkpKaZfH+YH9+zZo8zvk0CU4vmcitdWTbIKRJ4ThV5W/mij0qcXfQCVT0RcvNunXqYrf3nj46hlUhGlYyruj8vuP5/r1Dd1L9lOq2DR66yLJK66MsHgbiEm1pTy0PtUyMIPIgjzdVOmTBEzcmhdHDZsWJaECsxd0BqKFksINQii33//PWicA55XC8TeV199RZUqVfJl6anEFbaZVRMBjgGQBYgZwXvvvdfP0EYv+mT7KL4vZiQmJvpEJc5NL/rcgNdWTZjw/2ijvdMsygLbMyv8CuXJSQ+1u9xyrX0OiD7cXzRfLmHE4+Q3da+3RHld9Dr1Iomrrkyku4V4AYiJNAU98j4VsvB77bXXaPjw4aKlEWJv5MiRosUR4eWZ5csvvxQunBBWEG+Y3evdu7dw3TSaxYMBCypseG6IJ4gziNKrr77aV1EDWmElhRaqdcjW09+vBZU+iDvEPuAcBgwYQN9++63p14EZP5jTmIEZQDlzKD/Kc5c4udrnxVUTJvw/2pjpMyPYdjPwGitfOA91rVOKBrasKHL8csVlF6YvFQrnoeIFEqh4AXI0Xm6J8rrotRteuUhi7NctZLQAhAVmtPSzIGSYCLh6fvHFF/TRRx8JA5Xk5GT65Zdf6Ouvv1YaqIQKjFQgmlCFg9HLwIED6dChQyKQXQUqjf3796cDBw74BJt8flQj8VgV2igG7bycquqGltFZs2aJbahqQpzBCdQMiEW0cpqRlJQUcJ/2ewdR6hay4njJuNs2v0CC+VpTsO3BXEQRqdGlVgmqUCQvlSqYID7idgmXVIO83BLlJddghvES4TjwGi0ALd2ZSjuPnqLB37AzKMOYEfJVFqIIunTp4ruNyh+E1L59+4TwyQwQe5i3+/nnn0XFDhU/OGoamamgumiUI1iiRAmqX7++6fOh1TKYwNq5c6cvww/nhQD3cuXKmT4GVctg8RbBDGKMIiYYxk0tvol544WRiz5rD+B+bI9Ey59bFxvMqqtY6YY7KsSwG1e7vSx6GcbthNotZLQANLBVRRo1c3PAKAF3BDBMJoUfhA0cLvW5eHKmLjN8/PHHPgdNLdrnQavljh07hADDHB3iHtCKiSgHLXfffbcvfN2Izz77TITEm/Hvv/+KSpxsA0WAu9ZtE/mB+udevny5n3BDi6g+i3D37t1+3y+96yg+d7q5C+NMIjErEeofbczvwb3zeUWUBe4PZb7Pyy1/Ri1REH3jBzSmF5LXiMxCN86/sWsw41W8Ms8WSvuw0QJQ/bKFaPTMLRFpg/fK95vxJiELP4ggiDCtCEL17YEHHvCbxwsnxw/HXL16tcipk6YpyPLr16+fbx/M+7Vt21Z8vm3bNjHbJ41b9AHqCIQ3A3EOjRs3Fq2qKmTgO4Qnzg3Pg0B5ZBdK9KIPIKYBVUI5YwjRp58fRMUUok4Kv2AVQq/Db7zOM8sIdeYHkQ1w7/Tl+CXEiUpfqKYuXp5zM6quvti1Bo2ZucVP9LlNDLNrMONF2NAotAUgzHRHoiOAv9+M2wlZ+GG2Ts8dd9yR5RNAiyeqcDBHQS7fE088QY0aNRKumsj127p1K/36669iX1TiMKMnIxu0vPvuu0JESrTCS34O4QcHUSNwfMzz4blB06ZNhSnL0qVLTb8GiE60vi5cuNB0frBAgQI+Z0/mypsssuzSTp8XOXYQeZjCfJLfeC0nlpUziLzMunc6veUvq4saqurqpYwMeu6nK+9/bhTD7BrMeA0vdzeEuwAEI6+sdgTw95vxAnGxzO+DOHr88ceFmQpm/SCyNm/eLBxDP/nkExGmrnXqRH4fbktXTwhAtFjiOIhLgLCTTpla4SU/R7WvSZMmwk0UqELeMa8HIxsAAQpgQKNHKyxh7FKhQgXTrxWiD+en/Xq8zs4jJ0XLnz7I+9UetWnHYf9WWX7jjTyZrZzFuhrr5Ja/SK0m66urMLhxshgOFXYNZryEl7sbwl0Agntz6ypFld+vUDsC+PvNeIGwA9wjyaBBg+ibb74RJiqYz8N8HdpHVVl5AOHuCxYsEJVBCMT58+cL8Qfx1qxZMxHVgAri+vXrlY9HMHzVqlV9t1XtljNnzvQJPjwHqF69ekD0Aub15FwfWjvRrmomDjdt2iRMYrRh8NiOc0bFEHhpvg8XwHrRBzD39ULyahrTtwF1Hz3fbxu/8UaWzFTO7NAGE42WPyvErZWryU4Ww+HCMQKMV3B6d4NVGC0AtalaLEsdAfz9ZrxAyHEOVgBzF7RzwtwF1Tz8g5iDQ6cEc4XS/OU///mPEEujR48WcRJ4rBRvaLUEN910k+HzoR0UVUUzIPAgDjHnh+gKzBziOfXGNlozF2yDONQj5wQBcgERD6EXhVL0ATikegW0d5oFecflyG7rN15VlIDTCFcsBBMu0foehGP9nRkgbgdPirwluJVxBOFEajAM4wzy5TJfm88bZLubUcVGSUE44/E2lPxgC/ERtxHzEwpeWkBjvEtM3zWQ2zdjxgwhitDWWadOHXrmmWeoY8eOPtEHI5ZHH31U3IaBCubvVq5cKW5rZ/1QzQOVK1cOeB5U1SDUIOqCtWSiqod9ICghzlBllDl8q1atUj4GlTqIUD1aF88jR46I2xIZPo+PsiqIfMJSpUqRF8BMnxknDLbb4Y3XDlWvWFTO7NQGY1XLn5VVOStXk3n+zRscSDtzxRQpd5yI78jsrCxjf+JzZKeWSUWUi6S4H9uZyHUEsIEU4wViKvzGjRtnuh2tlhBiTz75pO8+Kfr0oDqHFk1ENuiR1TmIMERDmFGoUCGqWLGiryKHCiSqhGjVNAKzgjCnkcAgBkJPG3UBN9Tff//dTywivsGroH3OjPyK7XZ443XK8HcorYrhigW7tcFY0fJnpbi1ejWZ59/cza4jJ+k5xUw0YlDglMu4j2Onz9FdLSuKz7U/d4g+3H/8NK5t+GcfKXgBjfECtu0TQAUNYepof0R2nqR79+6izVNWyWDqgspf4cKFxWMWLVpkeEwcB3mAZiCuAWYzCHqHAycqfocOHTIMjpczfmgJlUD06alUqZIIoJdI0ac1mIFpjVeAg6dZkLc+sMMub7x2qnpFoiIZjljwQhuMleI2GqvJPP/m3kqfXvQBvH9iVhrxKFz5c191NF+unHTbZ4tFOPnAlhVFZAHcK1N2H6OHJ6XQL4NbxfoUXQcvoDFux7bCT+/oKUGIu5bU1FRfm+SyZcv8DFj0wECmTJkypiYsEGQ33HCDrwUTGX3amAYVqPDh+c3A3KIqykFrMAPXTzcQSrUJb66v9axNQxRB3ri/UO6coj/fbm+8dqt6RaIiGapY8EIbjJXilleTmcwCAWM2E43tThM1VuKW6ijeUxuVT1QGk7vlPdeO8AIa42ZsK/zCBbNxmBU0Y82aNaLypkcb/QBxuHbtWiHmINTwuZFLqKR3795+LaaqrEG0m2pbP1X74Lnq169PTiacalP5Innp7ZvrCqMXKfBQCZT72fGNNxpVr6w4SlpZkfSCcLFa3PJqcvSJdfxIJEDVKivbvYSbqqNeeM9lGCa6uEb4oSUU83lAH70ggbmKyoRF686JVs+aNWsKB86xY8eK29KURVsZ1IIAeq3wk4JOn/WnfawqhB5xFk4mM9UmXAi72RAl2sYxVlck3S5conGh5dTVZCcKKLcYMRVIiMvSdi/htuqo299zGYaJLq75a4HZPRnlYNTuiSrbgw8+aHgMreumtiW0VatW9MEHH/icOPXHf+qpp/weK9EKPQhTI0Eq0VYEnUhmqk1Ou5i0UhhEwjgmGhVJpwqXUOELLXcIKKcYMYVCYt5405lobGfcWx11+3suwzDRw3HC77fffhNOmw0bNhRB7viHOT+Eo2vD2VWg3VKGshuZtMgMwc8//1x8xPG1s3kq4YaYh2LFipk+94kTJ4TwVIXGa59fhdlj7ES41SYnXkxaKQwi0abphTm8YERiMYEvtJwvoJxgxBQqqFBhPu15xUw07ndSBctquDrKMAxjjOPeAVF527JlC40cOdInBOG4+ccff4iKmh64fR49etQn2sxEFLY3b95cfA5TF4hARDksWbLE9JxQqYO7qB5tqydmB4ORN6966NzMqdROhFNtcurFpJXCIBJtml6fCXHqYoKdcaqAsrsRU7iUCzITzVyGq6MMwzAuEn5bt26lXbt2+QQcRBcqaTB3kRUzrXGKFH2gevXqpnN0EGqY14PJCo7fuXNncf/Zs2d9+0Bc4vjatkwYwaiC16Xow2OwXTXXp0XVLgogRlHltDvhVJucejFpJZFq0wy3Ium0dlsjnL6YYFecKqDcFj/CixqhwdVRhmEYFwk/GLhAeCFbDy2eyNuDAcvkyZPpP//5j9gHAks/T4fHwLQF5i4yAkIl1KpVq0affPKJzwV0wIABdP/99/v2wTH17Z6YB8R5GIFzQfVQ+ziVUYxsM9WDc3cC4VSbnHoxaSUQZx2rF6erSxag+mULicymhJw5aPmuVNq4Py2sNs1QK5JuupjkxQRrcKqAclPbMy9qhF8dhXunL8cvIU5U+lj0MQzjdRwn/CCOkNennZ0DP//8M73wwgtCgJ06dSpAnGEG8M8//6SmTZsKoxUVyNGbPn06/fXXX77qIsxgggWroyJnlvWH6iH20Qo9fK4VfxCHNWrUIKcTarXJqReTVoLv0Ytdawgrcm1uk1ypjvSFndsuJnkxwRqcKqBi1fZsRQWdFzXCByKPhR7DMIzDhV/JkiWV9+fLl0+IKFTHrr76atEOijB2ycGDB6lWrVqiKoh5QFXFDbOCeGx8/JU/oP369QsIjdeDfX755Rdfu6ZsA8VxYCgDUdesWbOA59PeRhtqrly5yA2EUm1y6sWkleCCcUjyGmX+1AvJayIuxNx2McmLCdbg5LnRaDu0WlVBd/qihlvayRmGYZxOTIXf33//TSNGjBAVPISvo10TM3ZmkQ3I1lPRrl072r59u6gAbty4MWA7zFdQzXv99deVFTeQO/flP8zJyclCQJYtW5YGDhxIH374oa91VP+Y4sWLi/k9OUuINlM5YwjRBypXrhxwPvrj3HHHHeQlnHwxaRXRFmJOv5jUw4sJ1uHkiItoObRGuoKuFUu543PQ4HZJNH7edjp17qKjFjXc1E7OMAzjdGIq/GDGUrduXSGuEJsQKhBmcMDs2LGjT2QtXrxYhK4DKcRQwZMgkgFRDuvWrfPdp6/AyQohYiFQrYOQfPTRR4UhjGwd1T8GrqHg2LFjhnEPmBsMxty5c+nZZ58lL+Hki0lczMBdL+30eeGsh1XsrF7ERFuIua1CZraY8PZNdcTnWw+mc9Uhk3DERfQWblRiCS3fH95Wnx6elOIn/uy8qOG2dnKGYRinE1PhB9dM6ZwZDtqqoHTK3LBhg+8+/QwfqmuYs9uzZ49o95w6daryuDCJ6d+/P3388cdCBKJlE22co0aNMjwXPG+LFi1MDVhQ2dSjF5ALFiwgL+LEi8mdR04KxzhtSyYuyl7rWZvKF1FHcthRiLmxQma0mHDy3EUaPCmFqw4eJFpthpFauDESS9KhcmCrir4ZYLt3SLitnZxhGMbpOG7GD2gdO5GPh/ZOVMuMXDFB69atqXbt2qK11Oy4jz/+OM2aNUvcxv64b86cOabn06pVK5G1h+w/FXASVR1D2+6JiiFaQ7XzhYz9wEq8XvTJi7Ihk1eLnK3MColoCzG3ttvqFxO46uBdotlmGKmFGzOxJOZ9b6hBHaoVd0SHBMRwnvgcQqzqnYrRtuq0dnKGYRinE+c0YxfM4WlNWyD6IPjgqlmxYkXl4yCu1q9fL+b8brnlFsPqGsTk4cOHfXmAHTp0EB+7du0q5g9VxMXFiZnCChUqiHZNI8aNGxd0zg8zjNddd53hMZjYg/ZOvejTXpRhe2YvKGMhxCLZbmtF+2sk4KqDN4m24I/Uwk2wyuGZ8xepXrlEcgJ4H0B76ufzt/s5Fbf8/7ZVvEcwDMMw0cNRwg+Om1rRJ8EMHmb8EMdgBFw+n376aXEMOXe3c+fOgOPJVlCIMlQHEbGAnD5JgQIFxLygBC2eeH5pDGMEZgu1wfKqeUAIRxZ+9gaixoysrmDHYu4xEu22VrW/RgK3mdg4gQNpZ65kqOWOo8Q80c9Qi7bgj9TCjZtmb/PmihOiT79YhtvZiETWHsMwDBM9HCX8wO23307ffPNNwP2onPXp00fM06HtUsW0adPoyJHLf4Bg3AKhqG/PRGg7TGFwPLR5tmzZkt5//33fdq3oA2fPnhUVP+1xUAXEP2kuA8GH+UGISTOMguUZ+xBshToSF2VOm3u0sv01ErjpQtoJ7DpyUmRR6hcBkEWJYG03C/5ILNy4afY2/cwF0w4JbL+qALkCjqxgGMYJOE74oRUTeXcQXADiDCJt5MiRohVUG+6uJSEhgQ4cOCA+AjxeirWCBQuKOTzw5Zdf0t133y0+b9u2LVWpUkVU9MxAi+mOHTt8t2Eko6/soSKovU/V6olqImP/1iVcxEqjBS24H9u9hpXtr5HATRfSTqj06UWffB1gcQAVnmhV/mIl+LO6cOOm2VuIIPx+4byLF8hF6WcuUv6EOPE6QRuuW6rtHFnBMIxTyB7LJ3/++eeF+JGVsJ49ewoRhbZMFZjPW7FihU/0SVEF8fTVV1+JLECtuEKYugQRD3geiDw9UvQBCMcffvhBfN6wYUPxEdU7M3De2ufS5gTKzxERYRbgDurV47YXu4M/4mhfhMjTItsavfhH3ur216wiL6RxIabFiRfSdgftnWaLANgebcGvwu6CX1YOZzzehpIfbCE+4nZJh72/FMqdk76+pxmNn7+duo2aT7d9toi6jpon2j9xvxsWyoLNkmI74w6wYLFhfxot2X6UNvybJm4zjNOIacVv+fLlAfehcjZ06FCaMGECDR8+XHyU1TSIsoMHDwY8BmIO83t//PGH39wc4hgk27ZtE9U7zPWZUb9+fZ9gQ4UQyGPqZ/Qk999/P40ZMybgfq2wgzj8/vvvg7qDMvYHM2toX0QlS7Zz4QLGi6IvWu2vXs6MdBKY6cvK9kji9MqZ01q+VeTKmYNe+HmlsgL8ytS14n3U6W2abB7lDezSws4wjhZ+RYoUoeLFi9N///tfEeAO50xtRh/m8K699lrf7bFjx4r2S8zUoS0SrZ1o9UTFDtVAxDA899xzfsHt+kgHtIoatVqCZ555RmTzIbsP1cUBAwZQuXLlxDbsmy9fPjGvJylUqJCoQObJk8fwmED7danA41CVZJwBhIRXhZ5T21/dcCFtdwokxGVpe6RhwR/7bgCzCjC2R/N9VCXwTp27SE9noU2TzaPcj51a2BnG0a2eqMBBRA0aNEjcfu+993xtnhBPiDd45ZVXAh531113iYw9WY1D9h3EHoxXjESfNG4pXbq077ZKoKFdFHOAnTp1EgJwy5YtwgFUPpdW9Mn8PVQor7rqKt993bt399sHWYM4JkSqETgXbQsrwziFWLW/4iJu68F0StmVSlsPpXNLlQ1IzBsf8DqQ4H5sjzYQeZWL5xMRCPjIos+bFWDM4Q2elELt35tDPT9aQO3fnUMPTUqhnUdP0bKdqZlu02TzKPdjpxZ2hnF0xa9p06ailRMRC3Xr1hVtnKjKQaBBLBm1Zepz+BB8jn8QambguPpZPD2vvvqqEJzI7kNr58CBAwOcPPWgEtmmTRufgJsyZYrfdmQNIudPBs/Lj/rqIFpaZdwEwziJaLe/GpkpoIUPgdHsrhcbsOqN1iesgs9TtETxqri3sEsF2GwO72JGhgiY1+YMhtOmyeZR7sdOCxgM42jh17lzZ7/bL774Ij344INiFk46a2pBa2eLFi3EvJ7WaROVwy5dulBKSorp80F8BXPWRAVPBrHj+dDq+dJLL/naOrFdD8xfIDyNQMD89OnTRUagdmZQX3FE2yvDOJVotb8aXcQt3ZkqVu/HzNxCc7dkzV2PrdkzD+Zd0Prky/FLiBOVPhZ93q0AG7WBR6sCbDaHh0rOwJYVM92m6fRZUiY4wRYo4FSLzhP+W8E4AVvFOeTNm1e4X6K9UgWqYfPnz6c77riDJk2aJAQUwtWlK2e7du1Mjw8Rh2qeFr34ql69unD1hCBE9VHbnqkSfRKzNs7ChQuLczfbp0OHDpSYmEhugC+amVhcxGHVftTMzQEtObJtC7NeobwO2Zo960DksdBj7FIBDjaHd/bCFVO4zLRp8iyptxcwfl2931cx5r8VjN2xlfA7ffo0bd26le68807DferUqUOrV6/23ZaB7Gin1LZJqkxW4PoZzEAFYg+mMnAKxbwhzGUwU2gGWlRlBh+qf8jx07J7927xEXN+RpXBSpUqkRvgi2YmVhdx9csWCmjXCrdtK5g1e6jiMZhRgK8aljuOEvNwNYxxL3aoAAebw8sVlz3LbZpsHuXNBYwBLSvSw5NSLPlbwTCuM3d58sknac6cOb64hjfffFPM1d12223K/d966y0/0SfFIv6NHz9etErC6MXIuGXx4sVB2ylle+fJkyeFYIPwq1y5sulj8NxS0OlFnxSlaF0tWlSdKSWD441EoeqYdoTzjOyDm41PjC7ijFbtw2nbCsWaPauW4I9/v4I6jZxLfT5ZSJ0+mEtPfL9C3M8wbr5wrlayADWpWFh8jPZCh1mmY+sqRengCX9jNW7TZIwWMKY90pq+v785/f5Ia2EYBdEHZ9hI/61gGFdW/FBZu/nmm30tlGiFhIiCkAMQYBCFsj0Tws+Ijh07ClfQe++9lxYtWqTcB5EL5cuXD2o4g1k+ZAAePXpUiNMvvvjC9DGIkdDOHKrA8+bObVzxwte8du1akSOox+jrsRteyjOyczur26uuRmYKqlX7cNu2rLRmZ0twhokNwebwYAjVpEJhbtNkQm5hx6KqUYcJ4BgPxq7EVPg99NBD9NNPP/luIzcPUQj9+/cXbp8QVHJ+Dzz77LNC/KWmpvoqeohRQNA6Knk1atQIqAhqeffdd6lYsWKG29GmiePhuaXwRG4fBKoZMJuBYNy0aZNhmylaUnHeQLp66vc1Eo/NmzcXs412JzMXzXYWUE4UVtFoVbTrRRxW7bF6r1p8CLVty0pr9lAswVn4MYw1BJvDc/r7IhNdOMaDcSoxFX5oo1S1ZAIIvkOHDlHPnj199z399NP0559/ijm8mjVrimoh9oN4wj/M2qFF0wiYwvz666+G29FSieoi4hvQcjp69Ghq2LAhPfHEE/TOO+8YPk62m0pUXxPOCy2fQIo+1TygCpyLG98I7SygnCqsvFJ1NbqIa1O1WJbc9XCMrrVLUM8GZah4gVyUfuaicGxDtW7y8j1ZsmZnS3CGiS08h8dECo7xYJyKrcxdtMAsBdU5zP3pIxmGDRvmuy0D2yESpaAyi1WA2DITXXAUhbMotuN4LVu2FI9TVfG0rp25cuXyayk9deqU3z6Y79MLOP3z43m88kZodwHlVGFlZauiEy7iCuahLLnrYb+nOlUTrZfa6pwMo8/Kz9YumWYMwzBM1uAYD8ap2PZKA0JLFeAOMxiIvz179gjhhAgIVNNefvllU/MU2W6JPD0g8/wgxrTZfjhG27Zt6ezZs8IlFBmBAB9lK6cehM9rW0j1og80btyYJk6caHp+aFX1yhshLsyX7Uylwe2ShBsjjDkScuag5btSafy87TEXUE4VVtx+krVVfVT29KJPtmIOyeIcHpwMjVpRcX+0Ms2Y8HFiSzrDMNbixhgPfq9zP7YVfkYg9gDGKxB7qPLJbDzMz8HRs2LFir6ZvJw5c4p9tRl9MFABsnqnD3S//vrr6ffffxefQ2BKevXq5Vd91FYAYQCzfv36oKIOIlULjoHzl+egrRq6/Y0w/ex5+vC2+vT5/O1+A9Itk4qI+0+etWdlyu7CittPsoaVc3jZiOjBayvTpYwMv+fAa/7Ba5PEdsZ+OLElnWEYey402llY8XudN4hpnENmKFu2LC1ZsoRef/11cVu2d6akXM5R6dSpk29fregDEIW333676fFhsIK8PfyDoygMXsDUqVP99tO2fWLOsH379r7bMlJCC6IatBU9iFIcQy883QDexCoXzyesjvFR9aZWKHe8EH36i2zcxv0Fc9vjjTAcW3A7CCtZddWfI7efxH4O7+jJc3T3xKVUv1wijevfiD7q20B8xO27J/4jtofK3tRTtH5/Gi3edoQ27E8Tt5nIwxE1DMNEUlgNnpRC7d+bQz0/WkDt351DD01KEffHGn6v8w6Oq/iNHTtWfERsA5BmLt99951w/YQLpxGo9t1zzz2mx0fVDZU+tJFu3LiRevToIe4vUqSI4WO+//576tu3r6/CqMrjQ2RF6dKlDUUpgEGMWeSDmzh38ZJhZQX3Y7sdcUJfvxvbT6KFlXN4EI3IezKyAA9VVO48ctJwBrF8Ef+uAsbdM70MwzgDCKehP6+humUL0YAWFfzGW4b9vIbe6V2XjeGYqOA44QdXzqFDh4oIBdneiRk7VAGBzPxTAeMWtHKaGbWgAofKoDReeeqppyg9PZ2WLVvmt5/WHAaxEwMHDlSKOQnC4IO1g3pJ+KWfNb/IPRlkeyxxgrBi97rMgTm79tWKUfVSBQNmT9fvO56lObxIiEpU9sxmELH4UDoxT6bPkXHWTC/DMM7gyMlzdGuTcsrxlrtaVhTb2RiOiQaOE35ouYSAgwFLcnKymJv773//K0QT2jOlAYvetAVgOwxejEQfHoMcv99++03cRpQDKn04NsSfkSMngt71gk0vLpcuXSr2024H2n2kQ6kXsPusXDSEFYxEMDOGSk+B3HGUmCeec9xiDL7/Q7vVFOJK+8dZVtSy8vOBaMRxINL04P5QRCVeK2YziNh+pa+A8fr7FMMw9uDCpQzD8RYwvFtNiiX8XucdHDfj9/HHH4uZOog+gKofBBpaPWHqIgPfVbNzcOrcu3ev4bHxmC+//NInzFDlQwURok6ayKjAvjNmzPC7Ty8upSGNdrt+H21Yvdux+6yc1ew6cpIe/34FdRo5l/p8spA6fTCXnvh+hbifiR0Q40NMKmrYnlkgGl/vWVuIPC24/XqIojLtNK/KRhOvv08xDBMZLl3yN/XSkrLrGMVlz0ZbD6ZTyq5U2nooPeozdfxe5x2yx1rE1alTR2T24V/z5s19jpoqJkyYEHAfBBlm62rXri2MWcxAvt4PP/wQcL+2WgeTGFQGcUzM+6GNFDN7ZhmB2E/fCiodO7X7QKSaoZoNdCtOMSHBm2+k34whHp4zEBfPZ1FcMFkDFVhVRU7r6pkVyhXJKyIhpj3Smr6/v7n4iNu4PxTgAmcGr8p6832KYRh7c+qcenwlT3wO4WSO+b9Ymr7we513iGmrJwxPILrw7+DBg8L85MYbbxTiq2bN0MreEGT4N3LkSLr//vtN90VGH+bx9KCVU1KvXj3RRorqH/6tXLlSBLqbAZG3detWv/v0FT18rcFaObGPl7D7rJxV1sZWRgYw9nX1lOBnm9mfL+YAzdpFOQTee+9TTNaxs8U+4w6MnMoHtqqobAGVbpp474nWa5Hf67xBTK8SILLQ/ohWTeTk3XHHHTRz5kxatGiRUvght88IhK2bCSvM78Fg5cSJE6bnhKojxGGjRo1o8eLFwglUG8+gMoZBZS9YNQ/iVmv+ojqOKvjd7djVhCSYtXFW3oyjIS4Y+7l6RgIYt2DWEG2nWvEnZxDZ2MVb71MSFi6Zh7PLmFhm7MJEzMjpORZumnZ/r2OyTkyvYjp37iz+SebOnSuEIMSXClmtg9DStl4iH2/IkCG0atUqw+dC9Q5iC3N+ZpQoUUK0nz722GPi9nXXXScMYSQqY5jExERltU6eJ54XMRPauUMjgxnGHlhpbWx3ceF0snIRHAkDFqtBZANab7BAIFdl8Zph0edNWLjYc4GPYUKJggoGz20zkSbmV5irV6/2CT24c06ePNkv6FzLvn37ROUMIgpCS1bQ1q1bR7/88otpnAJAFXHPnj2mVbdx48bRc889J+5Hpe/rr7/2C2dXPaZUqVJ+xiwy6kGKU+wPQal9rDYOQoJ9GHtgpbWx3cSFm9xFs3oRLA1YnldU1EI1YIkGEHns3smwcMkanF3GRBNVK+WlIEUAnttmXCf80KK5YsUKqlKlCnXq1In69+9Pc+bMUYo/tELCJEXV8on5vj59+pg+F1w/kdEnq3Oqlk1UBCHiEBkBcXbttdf6xTDIx2jjIiBcN2/e7NtHCjptZRKto1qwj6pyydgDK62N7SQu4CKqN5qR5xGq4YjbLoKlAYtPDCfECTFuF9HHMBIWLllf4IO5Buas9Lmd4+dt52oLY3krJf5uqVpAAbtpMq4UfqiqJSUlic/vvPNOIbpg1PLJJ58o92/SpIkQbjt27BCGMKgAwpylWLFi9Oyzz1K5cuXoiSeeUD4WlcJWrVrRmjVrlNshwnr37u0Tesjwg/CDENWjbdtEa2jJkiUDAtq1og6CVWb3qbbLfRh79+NH6s3YDuIimLsozs+q87FiJimSF8FZMWBhmGjBoctZo2DunMJRURWqjfuDuegyjFUtoOymybhW+OmBGDKaw0MrJKp2zZo1o4EDB9IDDzzgc+RE7AK2f/TRRz4RBaGnnc8L5s6J8Ha0g44ZM0Y8tlChQjRgwADh8mkGXEghEiWq8PglS5b47leFtwN8LfogeMa9b8axFhexche1aiaJL4LZ5MPtPzP9voXzxIuK1alzgbm1gNvEzMmbK84wVBt/pbH4xTBWw26ajGeEH2bpYO6CKh1AeDoC06dPn24oCnft2iXEnwxal6Dah1ZQGauANk29gycEpVkenxSJqPKlp6eLllJ8rm8tlRl9Utz9/ffffvOFUtxphR2qiHJ/eb++1dOLws/OF6pufzOOhbuolTNJVrbnOgE2+XD3z8xo3/EDGtPACf8EiD9uEwtO+pkLpotf2H5VgaifFuNB2E2T8USA+969e+nWW28V833S6AUVO8z9AVTbILy0FTuIN70pihRT2jk7uIPqA9Hz5s1rKvxwXBwfQe/ydr9+/Wj//v2+faSg01b00tLSROup/ny0FC5cOKAKqD8Xr4k+XMgMnpQS09DSYOCNuHLxfFSvXKL46KY35sy6i2Yl1D6UdsystueqcPtFcDBBHc7PiLHfz8xs3zGzttCLXf3nw7lNLDS4S4BhGK8RU+GHdk2IKinkINz+85//0NChQ33xDTB+kYwfP16IMu2snPx89OjRlJycbPp8tWvXDpiz04IKHFpEf/vtN7EfWjxxn3Z2T2vuIilbtiwdOHDA9LkbN24ccJ/+XIyEn0roOh2+UI090l1UhZG7aFbFeiQvtPQCFOBiVy/+vHARbKWgZmL/MzPbF/c3Kp9IMx5vQ8kPthAfUTkvyVXeoHi9S4BhGO8R01ZPVPOM8uxg8oIWy549e/rdj7bQDRs2+G7Lx3/77bdizi+Y8EOrqBHSXKVp06biuHJ+UJ/RB8GmFW1oV50yZUrAPtrzgzjUo/3azap9CLR3G+xGF3vCdReNRJtmpC60zFrk3NyeawRXLtz9Mwu278mzF0RXAhM5E6+O1YtTvoQ4sbhkx1EEhmEYV5i7SAoUKCCcOt98802/+7WiT0vx4sWpXbt2SgdOCWb+ZGagyoAF7pxoD0X1Dm6jf/zxh5g5hMmLXrBpq3AQedoKoNxHy6+//mr69ZoFuuOc58+fT26CL1TtQTjuopEQ65FwSw1FgKIt10tw5cLdPzPsaxY7wD/fyJp4QfShffbJ/63kmVmGYVxFTIUfTFFGjBhBy5YtEy2fCG/v0aOHT0zt3Lkz5GNVr16dKleubLoPYh7OnDkj2kVhBKNn8eLFIiS+QoUKVLp0aWEis3btWhHVYAYMZVAtlMfUm7YA5AJKIBKxXSv2cF5G5i56UekG+ELVPoTqLhoJsR4Jt1SuFkc/foSJ7c8Mn8PEZdTMzQGxA7iff76RNfFCpU8v+iJlQsUwXjTLY+xDTIUfDFjQnolZv169egXd36zq9e+//4o4BiPg8omcwEmTJilFnzSPgeiDUQtEH8Tndddd5yfaVEAcasWZykBG2xoqK40qgegV+ELVu2LdzC0V2YK+6mPuOErME1h95GpxIJwF5f6f2ZiZW5SxA9mzZaPRt9VXPkcov09MoKMi2jt5cYlxEuzqzDhC+GE2Dv9CZeHChb7Adj2o1MlYCBVozUSFsVKlSob7bNq0iR5//HHq1q2bEGoQpXAclS6fZpiZxoBatWoFbe/0kqsnX6h6W6yrrKt3HTkZECgv5w3Rkirhtjdvxo94+WcmqtxbjM1dVEIk1N8nJhBeXGKchJUxSYz7sO2Mn9Gsm0r0gXHjxonQdYmspiUkJIg2SvD222/Tp59+avoct99+O3311VdClEmzGBzDjGuuuUaISjNQ0UTF0YicOb13scoXqs7CSrGOyoT+IhXAdAbmM5hDlJWKzLa9eaENhrOg3PkzC1eIhPP7xATCowiMk+DxB8a1wq9ly5YBwegSGLK0adPGd1u2UCKXTyu+kBNo1g7aqFEj+ueff8TtevXq+Y6tR3se/fv3p2HDhhkeF8IxWNVQms54Db5QdVZ7llViHV+vWZAytmu/B+G2vXEbDOMlIRLu7xPjD48iME6CK9SMa4XfunXrDN0vH330UdGiqRdmcn9UAKWzpxFwEZXxDdj/scceE7d3794dsK82zy8xMZHOnzf+xSpVqpTyfu3XgrB6hjFrzyqYO6ctKlZWiHWI3FC3h9v2xm0wjNeESDi/T0wgPIrAOAmuUDOuFX5vvPEG1ahRQwhAPYhhWLp0qe+2XiDKGbz09MtBz1oQ3YDHo+IHjh49Klw60VZ644030i+//OJ3HBxbPkYe1yxkHcIwGMHaSRn3Y9aeNWTyGupSu6TY7saKFWIkQt0e7uqmG9tgvNC2ymReiITz+8So4VEExilwhZoJB0e9+8ONUyXcQMGCBWn16tUBbZjycxnOrqrMQcCBtLQ08fGll16id955h4oWLUoVK1b03Q/kceVjZEup/IgKIJ5Tn/OnN3HB3KFWnMJRlPE2Zu1ZqHANaFnBtRUrZAeisqkNkpfgfmzP7Oqm29pguG3Vm4QjRML5fWKM4VEExq0Val489C4xFX4QcdqoBEQorFixggoXLqx06EQr508//SSMUPQCDsYpaNEEWkElP4fQQnyENHpRcfz4cUpJSREOoQDVPv3x9EDwHTx40CfutKHw0mBm/fr1fo+RBjXaOIcJEyZQw4YNDZ+HcT/B2q/gXumWipUezBuhnRXGE/MUba7aeaRwVzed0gYTymwnt616m1CFSDi/TwzDeGthiBcPvU1MhR9aM9u2beu7jSgFaZYCITR8+HDxEbl6cg7uueeeE0JLAsEFAbVnzx5q3LixuE/r5CmBwEJQPASlamYPoNUT+5QtW1bcPnLk8h/MAgUK+PbRZ+/h+cePHy8eK6t8ssoo94PgXLRoUcDzaY8zceJEevfdd0ULKeNNgrVf5Yq7PKfq9IqVEbCYh9ugT/wkxInKhP4iFX/IsIo5e9MhKp4/ly/OAcKpbdViAX/o7NYGo1ppTTt9np4NwXrfjW2rjDXgdfP2zXXp+OnzvgtBzAnzhR3DeHdhiBcPmZgKv2uvvda0moYKIPbRiyU4ZKJqhuqabK2EaQtiFYBRVW///v1CHBoFwUO4bd682ecEWqRIEfERWX6zZs3yPb8WCMEFCxZQ3rx5fc+Lr0nvPooMQjNw/giCr19fHcTLuB+z9ixEFaTsvlzRtmvFKhJA5IVSjcBv1m+r9vuZvEDEtal62aDJDkYNKoF38tzFgD+6rasUpQevrUwpu44Ftd53W9sqYx28qs8wjB5ePGRsO+MH0TR79myaN2+e3/0lS5aklStX+m7LKhsqfnXq1DE8HoQYohpq1qxJH3zwgeF+d911F+3cudPPcOWGG24wzP+D+Fy+fLlwBJUVQnn+WnB+qhZVLf/++6/hNsb9GLVntU4qQoPaVaGBEy7HjHh9cNu3Yrkl9BXLaBs1qC663+hVO0CsAuxzKSNDBNJrcwlV1vtOaVt1G06bh+FVfYZhVPDiIWNb4QehJgWYlm3btokqn5ylk5W1F198UXwu3Tb1wNylcuXK4vMSJUoYiqxVq1b5TGKSkpLER20+oArMFtaqVYs2bNhguA+cSFGpxByhEVrhyHgTo3bHS5cyqFH5RFtYi8f6IjizK5bRMmowuuhGW6pRDAVaPAe2rBh09tNubatewImVM17VZxhGBS8eMrYVfkbA/RJzePrK2ttvvy1MYWQFUDtzB2QbJloutS6dejBT2Lp1a/E5KnTSMRTVRIhCibaVEy6dci5Qi3afvXv3ilgHM+GnCopnvIdRu6MdrMXtcBFs9xVLo4tulTlPKNu1s5/4eb99Ux3acfQU5c2Vg9LPXKT8CXGUfvYCVSychy/mI4xTK2d2/x1hGCY28OIho3aLsDFw7zQCok7O4Kly9d58801R6ZOumiog1FBVBDI6AvfpRZm2lRMtpHIe0AjMDcqAeCPMsgAZBheYlYvno3rlEsXHWFT6zC6CsT3WK5Z54nMIN8ytB9MpZVcqbT2UHrXzCnbRbWTOY7ZdZb1/7uIlGjVzM3UbNZ9u+2wRdR01j0bP3ExnL5oLS8aaypkd4VV9hmFUyJl3iDwtseogYqKP4yp+iFvAnB+cPdHuKR08//vf/4r7MRM4ZcoUv8dIJ05U8+AKamYo06VLFxHgDhYvXiw+YqbQrBpXunRp02PK6iHiGv75x39OS1uZhPsnw9gVXOQu25lKg9slUf2yhXxumst3pdL4eduj1j5mtGIJ0Td+QGN6IXlNgOlLNCuSRhfdMOeBSY8qqxEGLwfT/E2pVNb7cC59Tuf+aWQEw3i3csar+gzDGBHtmXfGXjiu4odYBMzUyRk/iD7M/EFAoeqmmrOTVUC0WyIqwggc47777hPB7fny5RNzeYiQmDp1quk5/fXXX8KVU4ve1RPzfU8//bRplS9YRZBhYkn62fP04W31RSXt7olL6cGvlwvDGdzG/SfPno/piuWLXWvQmJlbDE1folX5kxfder5dsote6l5LCDotuP1aj1rUvvpVNO2R1vT9/c3FR4g4bZQDwOynSjhqjWAYZ1XO8LqMdIWaV/UZholkB5EV71NMbHBcxQ/zdvpWTYhAuHGi1ROxCkYglsGMp556SpjAIEICbZ6HDh0Sn6ucOLXCDnN7etGmrwDWqFFDxEmY0b59e9PtDBNLCuWOp7enbwwQHvL26z1qx3TFEs6Yz/102ZgploYWRvERT1x3Nb3523rxh/aulhVFxRTtnagEvjJ1Hb3Tuy5VK3klMzSY0UtmtjP2qpxZOTPLq/oMw7hltp/xsPBbsmSJ8n44dYJevXqJdlAVjzzyiOmx0QYqq3OoIqLlE4HvEIN6tMIOpi36fD89EKbvvPOO6T4Qhyp49s9bxNo10wjMlhlVm3A/tkcTvUsnViLt0pZnJkz/2nBQ+ZhQhGmB3HFZ2s6Eh5UZkNEwjomWky3DMO7EqQZXjDGOu0ro3r07/fLLL6LiBrGFtkzEICDOASBWwYiBAwdSu3btDLc3adJEzOD99ttv1LVrV9HiOXbs2KCVuB49evhlC6ooXry4LwTeqM3UrL2V8QZ2XlmDc6QZJ4Ns95qhRaSEqXYhoFCenCLXca5CgKNlNNj3gLFP5YwjFxiGsTv8PuU+HCf8pHGLrLgdPnz5Bbl06VJq0KAB5c+f3/CxEIWTJk0y3I75QBxn0KBBtGPHDiEsT506RevXrzc9J7SQJicn+25Lwxk9mE2UoIoIp08JIiGMaN68Oc2fP9/0HBjnY/eVNbsJq3Da8jpWL075EuLEjEKsKqmZ+f7pFwJgYDOufyM0m/vNMsI0ZkDLinTm/OXZZyayWFE5c6pxDMMw3oHfp9yH48xdjMA8Hnj55ZcN90lNTaVNmzaZHgciCyDLD+Lymmuu8RNsRm2mMhsQlTuV6JOtqBKt6AsG2k4Z92N363gj0xK7OAUaGVpA9MH45cn/raT2782hnh8toPbvzqGHJqUIYRWtQfZwv3+qhYBT5y4KY53OtUvQDw80p4/6NhBCsH65RHp4Ugqlnf6/9s4E3qqp//+rQVIaNSiNGkyh0kBFZeZHyBieRMbIY4oUQjyZPWbxEB6Zh0QyplAklAZKhRJRVIQInf/rvTyf/V/33HPOvene7j7nfN+v177nnn32XnvtNX/X97u+yzrhbCHuEymGYRjWTuUeWafxGz9+vOvfv7/fjw+NHKabOGLBAyfCFw5eKlWq5NauXVtoE3ecsGTaww+0ng/vn5iTsjZv6NChGe/p3LlzJJzpeclePefNm1fovvAatnIgzsTdyE/iPrNWmuudStIsb0TvHb2TE4SgGptt4jV9N70yr9ia1NIyt13f9Es3EYDwN+TZ2V7gw7NqiHXC2YNtuWAYRtyxdir3yDrB77zzznNff/119H3ChAmRySdr/UIPnMlOURDOkjVvITh1Acw70fLh0RPHLZnWDULDhg399g/sLZjOqycCabIwGH5HiJ0zZ45r166dyyfi6sikLMiGmbW4ewpc9P3Pfj+70AkNa9+GH9rGTftipfty5ZqMaxRK29x2fdKvqIkAvIKGWCecXWTDRIphGPmNtVO5R9YJfunW2+HNs6jtEjD1xBlMOhDEQOsAJ06c6A+cvoTCo/YQFOzhV7NmzQLhJAt4aCjZSJ579XuyJ1CuySdhLs6OTMqCbJlZi6unQMpTstCn/e0uHTPb3XFce9fr9skZNakbYyF7cdOvqIkAtoIQ1glnJ3GfSDEMw7B2KrfIOsFvn332cVOnTvVaOTR61atXd0899ZQ/L+1fJo1eKpPLZA0hG70DewLuvPPO3sunSBb64IknniigXUzW9iWv0dPvyQJiLlBcYS7ujkzKAptZ2zB+WPN7xs3Nh1QoX6QmNU7mtkVNBLSsu7kbM6DLRuuETTufXxMphmEYwtqp3CHrBL9XXnkl+h/Bib3vEPogeRP1ZPCcydYMDz74YMrfcbjSrFkzN2rUKP+9Q4cO3tRz/vz5ha5FeyeN3YIFC/z6wXQg3GFimkpoDMlkhpoNrI8wZy6CU2Mza3+fohybrE7xe7ImNU7mtkVNBDSouZlr6qpulLiYdt4wDMMoDjZJGG+yTvB76aWX3IgRI7wzF2C934wZM1zt2rW9k5dMsAawY8eOaX9v3Lixe/nll91dd93lv8+cObPAlhEhoZlmgwYNMjqNQeCTt9CQUNuHU5d0G7hnC+sjzMVJsxI3bGbt70EHsz6/p9Kkxs3cNg4TAaadNwzDMIqDTRLGn6zbzoGN0t98881IGFu8eLF3iHLZZZe5V199NeO9hx12mNfghev5QtAYbrPNNpEGEYctyZurp9paoU+fPoUcySRrB3fdddcC35Pp0qVL5FE0W1kfYS5OmpVcpDS2I4g7ePDEkUsq/trcvKJ7/bzu3jySTwQWtGbF2RKiLM1teWaLepu7tk1q+c+NHYe4bzNiGIZhlD1FTRLmwzgkG8g6jd9FF13kDwlvCFR4zITZs2e7YcOGpV07t2jRIvf555/7/1P9jlDJfoBbbLFFtBF7v379CmjiUplryhuo4pQcfiaHMpnCzTbWR5iLm2Yll8jXGbeqlSq4y3u1cZePne3X9IVCH+c337Si26pWpazQssUJ084bhmEYRWFLeLKDrBP8MOdkTZ1g/zuZerZu3TqjwxS2W5DjlnTCF+adrLXDsQtmpGzpIBNSNHVo/MItI+CDDz7wQiKkenby3nzJ3jzhvffey/p9/NZHmDNHJqVDPpvlff/zWvfNqjVu6P9t5xKunF/TV22zTVw5l/Dny5f7q9wVBzO3/f+Ydt4wDMMoCpskzA6yTvC78847I40fzJo1y5t6Hn744d67J+aabK+Ao5ZkIeuAAw4oYOqZyvsmXjzR0CFQcm3fvn3dPffcE4Wl8ELnLgidOI5Jh4TCTEIp8c32ffwYKCO0Tfx0uatXbVO/z1jlTSq4b3/81fVsXbfQQNo0KyVPPs+4/ZlIuAoVyrmrxn1SwLtn15ZbuLN6tnTrcsyD7sbCtPOGYRhGUdgkYXaQdYIf6/vSsWLFCq81y+Rohc3WIZUAhnYPoQ8HL3Dsscd6AU+mnyES+hDq2OBdwl0qtD+f9vETyYJgLuzjx9u8OHOpe2tBQS1e99apPa6aZqVkyecZt4rlyrnb31hQaEsHfb/qkDZlFLPsxrTz8cG85RmGEVdskjA7yDrBDyco48aNK3Qe80tMMxGsWrZs6T777LNCJpV4An377bfTho3JKOag8hgqE8+2bdtGzl6SPYdq/V8mE03uWbhwYSGHMrm2h19kZhgIffliZhgX8nnGbc3vf6bdx4/z/F5cbIBdENPOlz35unbXMIzswCYJs4OsE/yGDBniD0CQGjx4sBs5cqTr1auX17wdc8wx7t57700r2D399NPRWj0Er9AbJ5vB33fffX6tYKiBk3fPVNtFdOrUqYCnzlCLF/7PusRkwS9Z45ft+/jls5lhXMjnGbef1/7pqlSq4E7q1ty1a1wzMjX+cPFKd//bn7tf1hZP8LMBdmpMO1925PPaXcMwsgebJIw/We/cBY+enGvatKn/xClLOmrWrOm+/PLLAmv1QpYsWeLX2slsM5PDFoGGEGTCGV4b/s9ef8nhhN8RRLN9H798NjOMC/k841aryibu1j7t3KjJn7vbJywosMbvjmPb+86HLS4yafFsgG3EEZtUMwwjW7BJwnhTpoIfG7E/88wzbu7cud45Cmac1157rd9LLx3vvvtutM8eTJo0yX8+/PDDrmvXru75559Pey9r9lq0aOFOP/30lL9jLnrkkUdGawRr1KjhP1Ot8QsFT67X/n7s+YcQGAp1aAN32mmn6HsqrWD9+vWzfh+/fDYzjBP5OuPGeyL0JZt7Tl+8ylXepLy7dMycQmtPk7V4NsA24ohNqhkbipmvG4ZR5hu4I7SdeeaZXphj83UEr3333dd71EzH8OHD3SabbBIJSZhnwsEHH+w/2acPzV4qzj77bO+1Mx0IeDvssIPf7w9hjX392MeP9XnpWLp0qRc6iRNgOprKW2jyxu3aFF7XZvIKmm1mhqnIdTPDuFHWm36XBT/9+kfKNX6YfuL0Jd3a03BT2Y0xwOZ5aB6nL17pFi7/yTa1NYrEJtWMDQHz9bMene72ummSO+zOKW6vGye5gY9O9+eNeGD9gpEXGr+XXnqpwPcHHnjA1atXz++Lt8cee6S8Z8qUKX7NHUIiZplo19CaXXjhhV4TiAnnqlWrouvDbRcQ0DC5TMf333/vhVBMPBEsESLPOeecjHv/QbVq1Qps4h4KdwiCcjxDmHgdTV5bCEU9Ixe3czCMkiSd0MZ6v9D0M5MWr7QH2LZ+0Pg75PPaXWPDMPP1+GP9gpE3Gr9kfvjhh2hfvHQgTCFkyYsma/sQpFi7J+1fSLiW7+KLL3avv/562rDRumG62bNnT2++idDIPn6p1g2G2jvuwZNoMqFwhzfRVMKh+PXXX93KlStdrmzn0P/B992A0R+6kx6Y5sbPWuoKr6g0jJIlndDGBERxtXilqbUuagCWSzO8NntdOmt3k8tmPqzdNTaM4pivG2VHPvULRjyIjXMXBDS0a6zTwztnOjCbRHsmtPUCWjUJjulA8MpkUonwhSfP8ePH+++dO3f2Al4qb5uhQMk9MvVMBx5FZd6ZDsLRBvMhydrBuGLbOeQHcV0rkk4rsmnF8sXW4pWmc5x8WT9os9elQ76u3TU2DFsfGm/ypV8w4kNsBD/W+s2ePTvjPnsyq8RcEkEvBMFr7NixGe/FhLNPnz7unnvuSfm7NHLy5tmoUaNib7PAWr9M/PjjjxnXLkrwTAXmp9lAPjVgcRV+8nlQn05oW7b6N7d7qzopy2YqLV5pDbDzYQBmZmWli3nLM9YXWx8ab/KhXzDiRSwEv7POOsu98MIL7s0334yErUwC1qxZs9xuu+1WQJBq2LBhtNF6SOhBE21fjx493FZbbeXX1PFdHjwBgRIhT5o51vwVR+M2bdo0L5BmAqES4S8TePZMBe86efJkF3fypQFLJ/ygEWIfuVwVCLNhUJ9OaOveuu56afFKY4CdDwOwfJr8MYxswNaHxpt86BeMeFGmgh8C2cCBA92zzz7rJk6c6Jo3b16s+9ju4dBDD3WjR4923bp181rCDh06uG233dY7UMHpS/gM0apVK7/X34oVK/z3UOgDtIgIWTiXCQXG775LPZAROKRZvnx5xmvq1q2bcT9ACa+pkFfQuJMPDVg64ef9RSvdohW/uDsmFPQe+Xe0YXHVJmbLoD6V0FajiitzM7l8GIDly+SPYWQL+by3azaQD/2CES8qlrV55yOPPOKee+45rzFjjZv2z0u3Fu+uu+5yw4YNi7Rx77//vhfS8PSJuSfaulDwCznxxBPd4sWLCwl8gmfuuuuuPgyENF2neKWjffv2bsKECYXOhx5FV69e7R3SpIubNI5yWpON5EMDlk74YcuA2ybML7SdwPpqw+KsTcz2QX1Zm8nlwwAsHyZ/DCPbsPWh8SUf+gUjXpSp4IcQB5hfhowaNcrvnwd8fvHFF14jCA899JDXrkkLhhkmm6OzrQP88ssvaZ83derUjJ4zEdIQvr799lu/zg/N3+WXX+73FswEnkW33nprN2/evELhCd4B4VaCX6hRFHPmzHHt2rVz2Uo+NGAlsWVAWWoTNwQb1GfvAGxjaZHzYfLHMLKRsp74MtJjgrmRV6aeRcFeemyvkOzoRIIegh8brbOH32effZYxzAcffNCbiKYDoWzQoEHu1FNPdS1atPCCGA5XQi+iqUDowxxU3kDTwcbymcxGi9IsZgO53oCVxJYBZaVN3FBsUJ+dA7CScshTHOExHyZ/DMMwShoTzI28cu6SDrZnWLhwoRs3blx0DgcuM2fOjLRprOkbPHiwO+mkk4rcLgHBLtNG6Wjhhg4d6rWGCH3Qv3//Ak5ZuAZCAROhM1nbl8pxS+gkpjhCbz40YHFdz1aaWwaUhTaxJLBBff465Fkf4THXJ38MwzAMI1uJteDHWr8lS5YUOIfgFppQIsxdccUVbu7cue6xxx7zm7in856JsLX77rtHZqOpfu/UqZM3NWV9Hpo8HMJIW7dq1aqUAhu/hXFK57glkxlqcbeNyCXivDVAaW8ZsLG1iSWFDeqzi5JwyPN3hEebvTYMw8j+yW4j94i14JeKdN4z5RH07rvvdscee2zKa9AOokFMBxrDl19+2f3nP//xgtyCBQu8kMgaRARAtm1IBaagRQl1eAtl/WAmtt9+e5cvZMPWAKW9ZcDG1CaWJDaozx5KwiHPxvDmaoMhwzBynWyc7DZyj6wT/EKNG2aXd955pxswYIA77rjj/LkZM2akvRdhrlmzZml/x6snW0UcffTR7oYbbvCC4M477+y1iemEPjmNqVOnTsZ4E24mr584q0EwzReyZWuAjbllQElqE20gbZSUQ57S9uZqgyHDMHKdbJ7sNnKLrBP8krnvvvtc165dXZs2bfz3e++913+iocMxTLiuDkEOpy0StBC82LtP6Fq8evJ7rVq13LnnnutOOeWU6JratWtH+wCGGj+2kwC2lOBenMIkO24JzUFDoU/f84ls3xqgtLRhDHSvP3Jnt/JnhLY/XPXNKrpaVSq5Hq3r+k6jONpEG0gbJemQpzS9udpgyDCMfCDbJ7uN3CHrBL+XXnrJjRgxwn388cf+O9q4p59+2u/Ph1DGBu2AmWbyejy+s/WCvILKM6iQxg2tIFsvsFYQM89QmyehDwEvFBp5PnBO55O3bAifl7wmMN8EP9saIDWZhLbiaBNtIG3azpJ2yFOa3lxtMGQYRj6Qq5PdRvaRdYIfWze8+eab0feff/7Z7b///u6EE07w+wIisCGcpXLCwjkEwnRoj70ddtjBO3IhrL59+7p33nmn0LWh0IfjFjaSL8pxS6h9lLCHcIhAWKVKFZdP2NYAhSmO0Nai3l+a5XTk+0A6X7Sd6yPcbqhDntL05mqDIcMw8gGb7DbiQtYJfhdeeKH78ssv3bPPPutNLPkM9+abPHmy22677VLei+C3aNGitGFrOwiES2jdurUXznheJjp37uxuvvnm6Ls0fRI+CQOz0WQtX/gdD6b5hG0NUDpCWz4PpPNF25lOuKXeVKlUIaVAWBImyKXhzdUGQ4Zh5AM22W3EhawT/M4880z3yCOPuOeee86bYa5cudKvn0NwwjkLwlo6WHdXr169jL/D22+/7SpVqhRp6JKFsmQTTjR+2t8PkrWNhJXqfAjbSOQbtjVAyQtt+TyQzgdtZzrh9v1FK92iFb+4OyYscG8tKB1tZ2l4c7XB0MbHTKENY+Njk91GXMg6wQ9zTkDoAzZuB/be69evn99MPXn9ncDpCr+nQ/ccf/zx7uyzz/aaP7Zz2GuvvQpcFwpwhAkNGjRIGy7xCdfxJQuOsO2227p8xLYGKFmhLZ8H0vmg7Uwn3J7Urbm7bcJ8N3nB91ml7cw0GLru8J38/wuX/WRCSgmRL6bQhhFHbLLbiANZJ/hde+213nPn999/77V9vXv39s5d4IMPPnATJkxIey/CFVrBqlWr+rWBybRs2dJ/smk8a+7WrFnjt3MItXnJVK5c2X8WtYF7SCrBjzWFuYLNKP89SkJoy+dZxXzQdqYTbts1rulun7AgK7Wd6QZDP6/905316HQTUkqIfDGFNow4Y5PdRlmTdYIf3jPxtimzTDRy48ePdwcccID3+JmJww8/3JuFptIGAvv3ybkLQl+TJk382rzvvvvOa/aSvYACvwOCaDoQNEPhUJ+hAJi8RUS2YjPKf5+SEtrydVYxH7Sd6YTb3/5Yl9XazuTBkAkpJT+plg+m0IZhGEaOCX5bbbWV327hiy++8MIZGrdDDjnETZ8+3XXv3t2bZf7www9u9uzZhfbS41z//v3TrrVDeISlS5d6IW+33Xbz39kiIpXQF2r8MrH11lv7z3RhgPYBzGb+zmDNtIPF28evfvWiy1m+zyrmg7YznXC7acXyOaXtNCGl5CfV8sEU2jAMw8gxwQ+HKwhmEurwxIn55rhx47zHz1133dXv85dselm9enU3a9Ysv2VDKo0f4fz3v//1m8FPmTLFn5szZ47/lFko2zsgBIaCI9s0hOv3CCd52waeDbqP/QKJRxhOLmznsL6DNdMOFsbSJB6Cc7YJt8tW/+Z2b1UnZf3LRm2nCSkFKQkNaD6YQhuGYRg5JvjhITPcXkEbpyOsIexdd911KTV6mIcigF1zzTUp19khrK1evTrS4iHI1axZ039/9NFH/ad+D8EDKJo8hFGFkwyayVT7BYZxwDNotrM+gzUz5SpMSaZJvmpS80FwTmfK27113ZzRdpqQUvIa0HwwhTYMwzBiLPjhoZMDs02trbvssssik8tk0NQhNDVq1Mg7YJHw9MILL7gDDzzQvf766/6adM5YGjduHG20nko4fO+99/xn+/btvRCJWWlRQlmXLl38+r9vv/027TWpBMbkOOy0018e7FKRSpjM9sFatphybUwBqqTSJB+En1Tk02RCKlPeGlVczqztNCGl5DWg+WAKbRiGYcRY8HvnnXe8ySZCFuaPODjp1auXmzFjhhcCk7nkkkvcww8/7I477jj32GOPec0fwtNRRx3lhTY2dAfOpdrS4eqrr/aOYLRBezJ16tTxnzL1lMOWtWvXpn0HNImhVk8mn6GpKWsOiyKTV9B3333X5dpgLRtMuTa2AFUSaZJPwk8y2TKZUJrkytpOE1JKRwOar46fjOwgXy1VShtLVyM2gt+yZcvckCFDXMeOHb1Wi/8XLFjgJk2alFLwYw1e06ZN3fXXXx/tjYd2jzV4gwYN8nvvSfhKtY6P9X9vvPFG2viwBlCmnoTLej6Fp2clawo//vhj/6nzqQQ43rMonnjiCbfffvul/A0nM5MnT3a5NFiLuylXWQhQJZEmG0P4iWsnkg2TCUbxMSGldDSguTI5YOQW+WqpUtpYuhqxEvzC7RdYJ4d3zhdffDGth0vMPGfOnOn/l2AngQth8V//+ldG7dlzzz1XaL1dCALkyJEjXbdu3Xy4rVu3LrAdQyrzUJ6FRg6N5S+//JLW1DOT1hCeeeYZd99996X8TZvE59JgLe6mXGWhPSqJNClt4SfOnUjcJxOM9ceElL8wDWj2EteJsjiRz5YqpYmlqxFL5y5o2dBoYfKJd06tsUsFGjFMPFMhc9GQ0aNHey3iokWL/Pc333zTNW/ePGN88Nyp9YPytClnLJlMVlkPyIby0gwirIVr8/AQGmoM+Z3wtf4vlzZwL85gLe4DmbLQHpVEmpSm8BP3TiTukwmGsSGYBjT7iPNEWZwwM/3SwdLViKXgt8022/g1fQhNffr08QKgTCuTueWWWyIPmwKzTO5B6GOfvhDWAobMnTvXtWrVKmN8WI8nRy2pNI+pzD0//fRTt8suu0TP1xYTaAAl/E2dOtXHUdtQEA4eSkPQRkr4zQfiPJApK+3RhqZJaQo/ce9E4j6ZYBgbimlAs4e4T5TFCTPTLx0sXY1YCn4IPy1btnRnnHGGF5I6d+7sBTxMLpOpW7duoX3yJEghNOEYRoIZQpvW6IXP+uqrr/z/XMc6QTRvaAtDrZ723atVq1Yh5yypzD0Jp0OHDu7BBx/03xFcCR+Nnpy/INyiFVy4cKH/zjvgzCbfietApiy1RxuSJqUp/GRDJxLnyQTDMPKHuE+UxQkz0y8dLF2NVKRWrW1kzjrrLL8lA45XEM4ymVbWrl075XmELO5t0KBBJAjK5FKOYOrXr+8dvEiA46hXr14BLRsbssvUU59nnnlmJAxiCgoKU9tEsK2D4LkIdqHmEuFy//33j74TL8IMr0mn7UPYNTYuEqAQmEKyQXsk4ef187q7MQO6+E++N9hA06Js6UTImxb1Nndtm9Tyn3HOK8MwcpNsmCiL20RrKsxM/+9j6WrETvAbPHiw6927t3vqqaf8fn733HOPmzhxYiETTYG5JNrBPffc0x122GHedJI9/fAKypYOcOONN/rPrl27esEOQU0aQvbjw4GM9vnDQQzr/8L1dW+99VYk5M2fP99/8p14gtbkhV5DmzRp4oVOCWgIhWgi0RRq3WGLFi3clVdeGd3DtQinCIT8n868FS699FIflo5wA3sj+wSobBV+rBMxDMPIrYmyOJDNE61xxtLVSEW5RCrbxY3Edttt5+bNm+e1XzVq1PDf0f5hson2q1+/fn5zd4RBee7s27evW7x4sRfeevbs6dq2betuu+029+GHH7o2bdr46xDunn/+eS/4IVQhLLK+j73+EBLZyw/BMVmzuM8++/h9AqdNm+YOOuggr8njWUBY3MtzQKacmJNisslnu3btor3/+B2BkPWCCIF47eSZnTp18uHrmq233tqbf4br/4oC81HSCyFQQqphbCxnBenMSLNBIDYMw9hYa/wGPjo97XIBW+OX3gOqmemXLJau+cGPxZQNylTwk+YtmVGjRnmhr3v37v4FatasGQl/AwYM8GvpMPlEqMJLJxqxww8/3AuLCFEIb+yLh7AnJyoIhQh+AmENIfPxxx/317CdBJo0NIjvv/++F/LCuOC5E8Hz9ttvd0uXLvXCKvchZPIsIHzWKLIRPJpBnssWESQxZqNoHNkcfo899vBmp8uXL/dbRfCO2267bbQnYFGY4GeUJdaJGIZhFI1NlBmGsbEormxQpovHMsmcRBwhrlmzZq5Hjx7ReUxCQXvm4VHzH//4hzfnREBD2MIxzDfffOO1fThUOeCAA9y5555bwGsmgiOml2wPMWLECHfRRRdFXjwR4LiO62W+iSnmtdde6+OFKScbyR9xxBHutNNO83v08Vy0eZiY4shF20twoElE6JP5KGsGx44d679zHwIkG9AbRjYQV4c8hmEYccKcTRmGETdi4dwlFUit7H2HqecFF1wQnZdTluQDoQ8wz0QjxznW4XE/wiKbsaPdC7n//vu9ho/wuR7NorSKp5xySrTPIKChYy0g1yHoIcAhMCKYosUTCHSYqiLwcd3BBx/s1y6GvPrqq27ZsmVeuOR+4nXiiSeWYmoahmEYhrGxMWdThmHEiTI19Ywz55xzjrvjjju8kBZqHOOAmXoahmEYhmEYhpE1pp5xBvNMtHpxE/oMwzAMwzAMwzDWF9P4ZSGm8TMMwzAMwzAMY31kg9iu8TMMwzAMwzAMwzBKBhP8DMMwDMMwDMMwchwT/AzDMAzDMAzDMHIcE/wMwzAMwzAMwzByHBP8DMMwDMMwDMMwchwT/AzDMAzDMAzDMHIcE/wMwzAMwzAMwzByHBP8DMMwDMMwDMMwcpyKZR0BY/1JJBLRZo2GYRiGYRiGYeQvP/5PJpCMkA4T/LKQ1atX+8/GjRuXdVQMwzAMwzAMw4iJjFCjRo20v5dLFCUaGrFj3bp17uuvv3bVqlVz5cqVK/MZBgTQL7/80lWvXj3j+fW5tizCjnv87N3t3e3d7d3jEka2hh33+Nm727tnU9hxj19ZvHtZgTiH0NewYUNXvnz6lXym8ctCyNBGjRq5OEGhT1XwU51fn2vLIuy4x680w457/Eoz7LjHrzTDjnv8SjPsuMevNMOOe/xKM+y4x680w457/Eoz7LjHL1vDjnv8SjPs6mmuLQsyafqEOXcxDMMwDMMwDMPIcUzwMwzDMAzDMAzDyHFM8DM2iE033dQNGzbMfxZ1fn2uLYuw4x4/e3d7d3v3eIWRrWHHPX727vbu9u7ZEXbc41cW7x53zLmLYRiGYRiGYRhGjmMaP8MwDMMwDMMwjBzHBD/DMAzDMAzDMIwcxwQ/wzAMwzAMwzCMHMcEP8MwDMMwDMMwjFwH5y6GEXLnnXcmdtxxx0S1atX8seuuuyZefPHFxJIlSxKHHHIIzoBSHpUqVUqUK1fOHxUrViz0e9WqVf1vqe4tX758YpNNNom+Z7qOz7322stfr+uqVKmSNl6pwiJ+HBUqVPDvWKtWrbT3c9SpU8dfm3z+yy+/9Gn2ySefJFq1ahXFL9VxzDHHJEaOHOmfl+6aevXqZYxHuqNt27aJ7bbbLrH55psXyA/iHcYpXbpynjTYcsstM75DeJD+tWvX9unC/dzHwf+VK1f2z+d35X26cE4//fTEpptuWuTzUsWLc0ceeWTigQceKJR2PFPxSZV3HFtssUWiQ4cOierVq/s4p0qfGjVqROe57oQTTihQVnlPpTu/hWWJ59evX79A+SQMXb///vtHcdtss818OhA2/xOu0oVwSEvuS1W3lIfElTxM9TthpqoH6dKatCHexH+PPfbIWH5K4uB9yUM+i7pWZS7TNUrLVOH16NEj8cMPPyS+//77xMEHH1worHTlJbn8h+WA/0lP0o5P8pn8CNO4c+fOiQsvvDDRrFkzH7+i6hrx4rrk+NWtW7fY6crzaXMUD8JSeVd8Vc74TjkpTlvMobaM9KJ8Nm/ePG3arU+cy+qgzSiq/JE+mfqbDT3oRyiT5E+6a4oqn5n6s0x9OGUhbHdSHep3OUgv0oP4UHZon7baaqtC8evXr58fU+i+VGU0XVuUfHA/ceT6dOEpzFRtXnHSsX379n87/0j7Bg0aRHFNFzfSSn1k2G8X9yDu++23nx8L8Z6Ek6mffe6559L+Rt0kDsSd/FvfuITtRaaDMlCzZs2MfU66ckA/dO211/rx1oknnpj2GWG9UVh8Uqa32WabIsdYGrOkyrN0v3HQR/I7z2/UqJFvG1U+ORcnTONnFKJRo0bummuucR988IF7//333Z577ul69erlOnXq5GrWrOlefPFFN3XqVPfoo4+6l19+2Z+rWLGiGzRokHvwwQfdFVdc4f78809XuXJlV6VKFR9WuXLlXMuWLV2HDh38Z79+/dxmm23mqlWr5p/J/zx3t91289979OjhPxs3buzeffddd8opp/hrdt99d39+wYIFbscdd/TP3mSTTVytWrVc06ZN/X2EQ5z3228/fy1x23zzzX38RZMmTVyLFi18XI8++mi3cuVKH0bbtm19nOvUqePuv/9+17BhQ3898SQc3PbWqFEjCuecc85xP//8szvggAN8GMRx1113dTvttJOrVKmSv4Z7+P/HH390Z5xxhqtbt64PnzhstdVW/h7SjvDXrl3rP6FLly6uT58+/v8KFSr49+zevbsrX768T8d69eq5m266yV1yySVuzZo1/jripucS1vfff+/fnbSqWrWqO/DAA/1vhMG78b5XX321u/322/17f/vtt/5dSRfCOuSQQ9yQIUOiMImz2Hvvvf154kb+7rLLLu7000/34ZAv1atX979x/PHHH27rrbd2J510kn9myMSJE922227rjjrqKHf++ef7MHm28lquknFAzLtA69atfT4fccQR7ssvv/Tlad26da52qlqhBgAAKlNJREFU7dru+uuvdzvssIP79ddf/b3Eh/fguYcddph/t6eeesq7YSZ9KOO33HKLD5/3IP9Gjhzp84m4//777z59nnvuOdegQQP38MMP+/OUF8oUz6UMwNNPP+1++eUXHzeee+edd/q0Jo/PPfdcf02bNm38NTBv3jy33Xbb+f/33Xdfd/PNN/syPHDgQHf44YdH5YG4kZ6kK+lImOQT6cB7vPDCC/69KGPffPOND69v374+bPKcMKgTvB/3jRs3zp144om+TAH5tuWWW0b1kOfx/tRVwn/nnXd8feZ3oE737NnThwekOenLd8p2COV0zJgxPv14JnHhk/LIcwmTc3ySlqTr5Zdf7t+R/CYevDe/875AflM3KHNA+yRoM7iXdKa8kn+kHWVMzJ071z+bMkdacD1ljmcTr/r16/t32X///QvcR3lSeaSN45pLL73UtWvXzpcJwqG+ULfIJ55NWqrM026Sx5QnyqrCat68ua8bqpuqbx07dvT3k0+UD6U/6bX99tv7fCdNlI+9e/d2xx9/fJRu/EY7orQlbtxLOeE74VMnKGe8C20o9YY83GuvvaJ2ivhQLlq1auWOOeYYt8UWW/jncS3pxvtT3okjn7wXceKTNu69995z06ZN8/dQZ6jbhE36A/lLm7bHHnv4Mhf2CYL48VzKL+GSb7TxpDvXksbbbLONT0v1K5Qz8o97r7rqKnfqqadG4VGeqeu0Ff/61798unTu3Nnn2dlnn+2/Ux64t1mzZv6ZpCltGXl/2WWXufbt2/s6dsEFF/i2gWu5h76F8Hmnbt26+ecR5sKFC30a019QxvRehE95BN6RNDzuuON8WlMe1RaqfND2Ej6QJ5T/sG2mrisNCY9nH3zwwf4c5RJII+pI2B6fcMIJvt0gP8Iyz3V6NuWGvpE+hXaPvod3Ie0pR0uXLvVpxztwwAMPPBCVMdoDoEzRfusZpCvQd1L2gHpEGOQx1xOu/icPSGfiO2DAAJ8G6jvDtIKuXbtGzwTaV8qe4kdaUB8pqzyfPKV94/nkOW3Krbfe6ssH70B78vbbb/vyc+WVV/rv3EuZJ01IA9JdfQpQzogv6U/7RTmh/NAXkIbEjWvJJ/pE6pLiT73gf8Ln/YHPCRMm+P5r8uTJPj14Nnl18cUXu5133tlfR3oTLnnK+1DWeFfKPGUHaC8YZ/3zn/+M2pLwedRD6tp1113n04e+gvKmMqh2GS666CJ37LHHRvEE9XGff/65W7VqlY8L6aq0oQwSp99++y0qB5QJ9Q3qk+iLGK+NGjUqquMqz8SLayk7tHmgsMhn4kBaL1u2LKp74TYMPIs4rVixIgo3rDNPPPGEe/XVV/0YjPsoD2+99ZZv+4A+8sknn/RjOZ5L2tDe0ofQTtLmx4ayljyN7IDZEmYik7nooov8LNNJJ50Unbv44ov9jBezO5pd59BM6rRp0/zM9yWXXBLNPnbq1Mnf+8Ybb/jvzz//vP9s06ZNFO51113nZ304/5///MfH59VXX42ec/fdd0cz2Mzmo+3imWgsmXXZdtttE/vuu280Q0M81q1b5zUkhKXzxIH3ffTRRwvNjnLPsmXLCpx75JFH/DNvvPFGP2P222+/JVatWhX9zrObNm0azRIzG0S8u3fvnjjjjDP8OWbKmYW/+uqro/tWrlzp31uzTIRNvJiRY4btySefjNIGjaOeddlll0Vh8Cw+33nnncRdd93ln8F3wiBtfv/9d38/Gl3O77DDDv5z0aJF/npmrbgWjeKee+7pr+V30oy0e++996JnzZ492//+xBNPRNrUc889N9JAffPNNwXyWMdjjz3m0+Kf//yn/5335F7yk9+PPvpo/0l+br311v7/Cy64IDF27Fg/k6YZPJ6pNKFc7rLLLv485RNNHHkZQrho+0iz3XffPZrpVTwOPfRQfw4trbjmmmv8ObTi5OnNN9/s00nv0qJFC18W+B1tD1AWeMYNN9wQ5atm1NH87LTTTv7/6dOnR8/58ccffRqccsop0ewx5Y484yAvOMd7CerUUUcdFcXl2WefjX4jTXv27BnNzlKOydfRo0f7cwcccID/HDNmTKJJkyY+TVWGuU7llOfx+fDDD/twqFOkO2XhuOOO879RT1WmVSYp72FcGjdunPjHP/6RaNmypU8n5eGECROidDn77LN9GnTs2NHnM20MeckMN+8iqB/33ntvgTLVq1cvfy1pQloRh6+++iqqS/3794/aEg7ic+WVVybGjx8fnWN2eOjQoVHdYFa9W7duBfJ7xIgRiY8//rhQuxGGw8H7a1abz//+978+Tmpf0PwqbQiDZ1GW0A7utttuUbinnXZagbZo3rx5/n+Vh2HDhvm2T3WPeoVGXTPfO++8s2931RY99dRTPm2PPfZY3wYSJ/J1xYoVURszc+ZMf+2pp54apRVx4X/Cpx6geaAcU9evv/56n6fS8FFeuV5th8oOYVPXmOVv2LBhlMZYLmimnDZD2iQ0BUo/4kr5JBy1DzNmzIjaQeo+9//666++7VL/xPPUBqpteOihh3yfRVugPKA8Uh4UJ8LgHXn+uHHj/Hnqjuo270JcCI8yNmjQIH/NggULEocffniU5y+//LIPY+HChQXaDNUR6gPnKKswatSoSIumNoPyr/5T9Zz2hrxQmNtvv73/5B3UTqkOEz/yRm3u2rVro7DVZoQaQ+r8n3/+WUDzcd999/n3VTlCAzNlypTodz7Jc+qL7qM8hv0T+an6S/omt1vqi0hTWZfwvFtvvdXHl3K19957F2jTb7nllgJaNrUXjAHUFvFutBegutu1a1efTsSR70cccYTPC2n+qGukE+mm9lp5RNrzLvxGOeM33kfjHaUTz6TPIg6ERT+p/Ljiiiv8/5Q79Rncp3JM2UMLzDXHH3981D7pPR9//HH/yTiL8s0YhDyTZQTpQBtDWxKOHSjbvLfGCPDRRx/57/Q7/Eba8H6UFaUX6UH+qI7ooH8eMmSIbwfUH+yzzz5RX6L6SxuiMqD7kttMyjh5ddttt/lxCHlOGiiMp59+2n9itSGNI20dz1IZ5Frupa8Jy+bu/+vvSQ/VceIblh2NA4greUmagsZ/kyZN8t9DDSLjpnA8RppSh7k/7LPKGhP8jIz88ccfUSdP5aFBpIGjYbvnnnuiwR2FWudpjBE4QpOQcBDYrl07//9NN90UVUQaPxotNQRnnXWW/6TBpAHifhoaDdYOOuigxDnnnOPjiIqdcOnYqOQ0dlRKNSwDBw6MKmZoxsN9ajD/7//+LzrfunVr/0wacQYluk8d1fz586NreS6DBp7J4EnCBQOOsBFjMMMngywaMBoLGjU6FnWyDNovvfTSyFRBgp8GRTrU8PFJPF955ZXEnDlzokaLwbuuJc9o1Bg8aDAQpgPpT8N24IEH+nj17t07ErLC63k/OgGlP+kFGtBqkAN0cITFMxk00BFxvyC+4fsQXwYhPDM0pdB7ypyMZ6uBp2PRYDc81MmRb5QPvSfhkg6UUfKXATTfeabukwmcTEP1fDpflW3C5Txll/RA2Gewoedr8EWcuY46QlkgPAlNTFroetUFDgZ3lAvKpUwrEQY1gAZ+5/1UZvh/8ODBic8//zwSmMI8Jh50quQz9UvvSjryDA1Aw3clbMoc8eZaBC+EQX7XIFYDFcoq11L+VHdPPvlk/6mBqTpWBtYID8pDBiKUI57NuyvPKDfU2c8++ywaGPPJ74TDwWCOgQ1tE22E6ruOyZMn+3aIdGcSQHHQe9KWaEKI7+QlaUSZVzmgDBMuAxmu4RzxC+sFeaPy/dZbb/k0RWBlQkVh80k+humMYMTARuV9+PDh/l1CMyXSj3aDZ1JOib/ynbiBhDKlPZ/kO88hL4kPQnA4CaRyqPLDJ4NpmZtxLwIi/zOpdtVVV0Xvr3uUJ7TDEvyYBFCZDYUr3p/4q6ypTeUZPJM6Q1wpYzKXJ10YYKvvSTYlI88Vjp77zDPP+DShPZOJH0KmygMDN+7Ru4Xxo22hfPI88hLTRLVtakMwM+M3TQSQZ6rblDWZZ9M2ET/eg4lL5SlxYeDP9UwgaVCuuMqMm3N6Fya/+H7++edH8dX7yiSPOk76IMTrGpWTww47zKcrzyNOEtRI87CtCyfhSKcwfSjjaveU9tRd9R98Uk+Y/AlNNhnwaqKOe3l/0kKDbo7bb7/dhyezuFDwk4ATlm+O+++/P0pTwp81a5a/fvHixdGkgfow2kuenWxKSb/Lc9Rey+ya9+R+lmWEy094HunIbwgESmPGJZq843q9G2UpVd9EeFxP+0DfwXkEq3CcQTvy+uuvF+j7wokqypTiTJw4mAjlHH0bnx988EE0iSbzXdJK7TdpI4GPMkYY9Gm0qbRLai8Vd6UhB//T59COKH/Dd1RaS+gnvyCTiS1lOWwzdQ3vjzCnPNNkLOc1gcx7KDzGjUo7HVxLnklAq1+/ftTuqV8jX5Re4fPD+DDJHY7/KHfvv/9+gXdn0k0oTakHhE/axwUT/IyUMKCgclD4GaRQcGloEHI+/PBDrwWhMdQaKp0/88wzCwwqmK0JKxMdumYew4GY1ofRmYadLZWGGSgaD+KiBp/ZuDVr1vi40nhznrA1o6sZJa07TG5waJwYUKmTYtZO9vZ0CDQWen/C5n8aVRrGUEjkPAMCnklFR1j86aef/EBAjbM6KHWUNPxhnBj0cB3vg4ZHDefbb79dYF0kM2dhWpK2WsPHYECDSKWp1gchHNJIKy8UHp0VA+xwrQQHA1vyMsw7wkSziYZD782MJ40x2lruY60djSKdmBpWGn9+I24i1Eiq4yMNX3jhhQKaV+Uh5S+MB+/EQDPVWkniiFCgtNYaK4QR8pfyFQpbmq0OOyLKUBhHOgzSQ50O5YF7tK4xjJ/WlNF5ch2H4qNnaMClgbPuJZ4IVNK+qXPR4IOJBe4l30gzzpFeyetYEGqZRFDZJr34n/cmvswUk37Mdqrjo8yRZwqXQ5p0yq4GHRrwMTOu90FLTZzuuOMOf04aSjpFDSJCQZrBGcIiAxg08KEgxb3UM+rCzz//HKU/AwPaAQkhCjN5PQj3k/4wd+7cAr/xfMWZNJDwyoGGJqzXHEyGgCYYtE4kLHeESf5K4CLvSHsGwWobpf3m+n//+99ROoRx15pABgo6N3HiRP88Duo3eaN2kcEyoDnQYJWyRr5qEKnnKzy1RZwj7aU14RzxD+ue4kR8FF8m97hHEwnJgp+0VSqPxIM2hPM8k3RDg0rdokxTnhUvJkiYYFD5UjwJi3AQEMK40ebQFhEPDeiIK0iDxjnylPIGTPKpHPJMhGL6lXBijXjxPkxihQIKz2CNO/VEwtPll1/uBYSwPCqNabtozzQJwoHgg7aAfEZooD6GdZc4k1aaWKIPDicK9L8mcBQPfiP9w0lNTTTqUweaP+VR3759fbqG708esG49vAchlD4x1ZpD4oSgK2hPUq2bo59goE66qG8M3zv8zrOo/1yrckY7kiy88Rt1M92asFAbHB6MF8477zz/vyb+ENRoO6gH3Efd55N34bkIeBqvcC95yITQSy+95NOf65hMIo0Qtrt06ZIyTlqvyzghzC/qVDhGQGsepiP1LHk9MGWF9pM8Y2KA9FJ7HqYp/6Ol1ppnwqE/UzvN+njCwLqA9lVpQvxUPjVBQN6pvZEgG5YF6jdjtjCe9Kdqy3VQR0OLC56FlYt8AyhNaHNUPhlLqOxzL+07Qiv9DO2B4kD7G74/9YQ4EB7vMHDgwEITSYxdkuOovFDYlGGN/2iLgbGsyiXtWYjSVBOHaPvjggl+RkqY9WMQT6VidoeCi8YjRAIcHaVA6EHLRGcQVi7NUtFIMvvK/ww0NfClYWWgqcGAzqP1osOloWAGUGHSiQsJFwwgGQgxqxpWXoQOaUI0KCIcUGP79ddf+wZCphYafKMV4LwEP2afNFOmd0BopFKHjaRm2XSdGmTCIGyEOg3ENViHUPD79ttvfR5oIbPCV9wYnGAKpTwgDQlPJpLKMzVAYcNGB0daAVpGdZ68j2atwutpcEGmsgziGOzzDrw/cZagwIFQQaMtDQ3vL5JnQ9VJalYRQThMO3VQ5EU6hwca0AnlMWkiQYAGnzAwx9AAiPfWBAafmJIwmIOw80ArSWdD/vEsOlo6JAYB4Ww8aUJZkJZO2g6ZyiotdX3YSfJc0lOCjvKPQSKD1HCShBle3o8OSFpr5Qvvi9aFssPggHcmD+QUgXOrV6/2dUtljdlI4p08g6uDQW5Y9iinfDLYQAhkgAVKH+UJdZZ36NOnj29LZHJFnULzy7s8+OCDkVaB+CHkhIIfeYSZLEKwNIzcj1kjz6bMasZbZRvQ2vCdckgaIqBJaCM91KGTLgy0iDttBwMk4k76ovVRXnCOcKQ546A+kAbcS/kn7gw8JMBxD4MstUlqv4gb+S1BgbaUNA6dM2BWxfUIZErTcPDHtXJgFDoboT6RTxr0q76pDZTpKP8zwNU5CTqkr55DflAm5YyC8sEzZbbM/cmCH20bGiDqEoMlrAg02YKZLCaShMsAXGZwQDslJzSkKffyLJ6LMKD3UxtAGhMOAgzfMdUCBuWyMFFcgXTheeQfAibtHxoCykFoIq1naJJL7ZI0AGoXOE+51rPouygflGe9OwNlaUep66C2J2xbKTf0Y8p/3gUNnhx2hOVb8WKyVXUeQsFdVhW0D/TF5BGHBvWkPSDk8R6h4x1NcOngdzn+0jnCkhMjmanSrsrigrQKhWKVpeQyHB7qgzBDJP1o95XWckSk63Q+PCdzYNUx4iFHG6+99lqUVuHzNVnKpCptAnUdYZiwCId+i7pNmeY6ygptGOlFvwcyF9QELFYN6gsp25Q7yg+TDORH8sQP6cR54kIdDOMn7S4TCJpgDJc2IGyqf0e4URqTPhKYaFfJd66njHAN5pFqE3gfwqAekQay1kIzTlxoSxgj8A7US8LAPJr7FSfuow5xDZNbYT2izQj7Uk0Wh+WJuGEJw/VqyxjPkZYyraYdCwW/EI1LFPdwMiBZ8Gv3v/ZM5YFP2sOpU6cWKI/0XUxchRMO9HvEO5WDJ40TOZjkIU0Zu3F/3Jy7mOBnFAsKLrPkITIZUocraBBpdJj1VgeB+ZMaf5lwhXbaDMpoOKQdkVDJ4IeGBmGS2RYJblRgHWEHhWmqBl004DQEmEmowwvNz0ADH2zW1WmBBoU0PBowcxBeGP/QLIc40gBpbVm6IzneCifZtIDvvI/STp0A2jE+GRhAckcahkF6yeRAZmEaeIrQNDTMy/A9GbR88cUX0bNIJzqg7777zv/GYIsOUOsyUs36cg5zr+T4IoAwYaA1NOnSjfcijRlsMaDSBELYico8lrzieby/Gl2VS5A5kzRcyl86UDpqCDU7COZhuoZCWOgFjUETkCbcz6CTZ9JRaX2WylxyXqmcJZ9PlQ5K32RTLZmdyuSYOsVspjopacBTlcF0+ZbpYN2SBgjJ93IO7Q7vzro/0Ex7mIapnpkcnrxGai0pgwAmpIA2I1z7RsfPpIjKBZo97qeeqn1JnhnnHjQ0Mjfi+WgZZEautGMAjLWDnsXMPYNNDtKaOoEwEQ5q0tX35Hdm4BV6E2SdHfHEvF6aNg24OBDs0QoSV0wUFWZYNsJPCUzkmQaPqeLBOZnAIRgkCyrpDtVBrVWljlHuaLe03oeBU2iKpQlBTCYlfDBgYrAtQTWd50YJQJp4QcCkjeJ/0kxxQssms03KEGWAiQWVEcoTeZ+ujilNaTOp61zP7xLkGASqXSFs+gzeXV6CtdRAdYAywwQRYXIvqI5oko93YbAaCpnJZYd8TK5Lmeoz6atJS9paYI0W58PJuGRP0EwIaW2XDq1NJZ+4lvBCDXqqOGnSJ1zHzmQQwg79icoPfS+TFtSpsA1WGaKsU0aoswiHpCXjBeoDZpLJaaC15/yvCSDuT1f2JTDxSdyIB+nEb0xwcV7tCWjNX5je4btzjkk/2iit/UrX1qmsawyh9dLUV5Uj+ig+mXCQuSemvKSHlhFQxyhnhIuwxjsjgGjiTpNitM+8D2FoAiM53/iu9gJBj/RYvny5/x7mOenBWEsTtQqHuq3rVQ5DXwsc9NO8V9gHkgaUM/KP70wshaaeIVojqvFHqnwNvzf9Xz1QP8DkDP1keK0sCMJJIdp16gJljTSXJYPMaznPgfaSdCDNUWJovX9cMK+eRrHAaxVeK0Nee+0174lq0aJFBc5/+umn3nMZHpvw7IQnKa7luzxNcl6e/GD16tX+Pnlb+uqrr/znQQcd5D334cUJj0x4fQI8UeJVC09ZCgOPS4SLh0Y8Kp122mneGxqe9L777jvv3Wrx4sVRPPFaynPwmnbPPfd4r1F4xZo0aZL3lAXEh/PEmwNPTniNE/yGpy95q3vjjTfcTz/95L1tAl6z8KKFxykxZcoUN2PGjMgjIemAlzHO3XHHHdF1b775pn+fzz77zHvYwgsen3gMA9KdPCEO8hzH9XgOFXiX4p15Pp4tyQO8Z+EVFfBghwcwofNKT3ndwmMYeSCPbHghu/DCC73nMv4n3SgLr7/+us9rXYdXS3kO47eHHnoo8hinfAPlAe/M/8RV4N0S8ISGJzK8eRGvsWPHRmWM98QDGc8AzpNWKmthuQQ8e4G8cZIm5C/eB3WNvIYBXspmzpwZ5fVtt93myzUevPAUqGeEdYHnL1myxL8vz5OnMTxiKg0ef/zxyEMi3jfx1Ih3MHl4wxsfngHxZIY3Ud7x2muv9R4FCf/II4/0+QJ4JFP+4UUMPvnkE+/xDU988hqLN17KGuVQeXDmmWe68ePH+/PyToeXUL0rz5HHNNULIJ54Mv3oo4/cs88+G+UlUD8pd7y7vG4+88wz/pPveEHEiyDPVBmhDOAxjWcPHTrUn8ODHJ4jFQblDe+I3K8yz/sJyrTqLx7uKFP8Tt4pn5T+f40H/7qH9MRLHue4nucq/5SfeK9TXOWVlfqNpzraE8ob3vFCj3ajR4/2npAVht5T5UrvSJtGOEBdx+sfHuPw3En8hg8f7r0Lih9++MG3N9Q10od4U/7xnkrZwaMlHHrooT4+1GHehTjLMzF5S77iAVBtNv/j2Y640nYSd85TbmDEiBHe+5+88VHu8JqI5zveQ3VQ6UiZlPdErlG+Ucao27znF1984ZYvX+7P483w66+/9nUJ74Z4TiTdqSdKP6BtJwzVObyB4l0WaKN5Z7zyqfzJ0yvtBv2DPOvqPeWREM/SeEc9+eST/XvjUZDy/8orr/j05lrqDemKZ1HKozyy8r70Ubw7bRL9puoDaU7fgHdAPK+SH9x79913R3FUv0e6Dh482HuMxOMi3h/lbRGvsNQ/8hFoh8hX2jDRv3//yJsm9xMH4k595fjwww99HGk78Io5f/786F48dtLmAHkza9Ys326EEFfiQ/rwzpTbsL1U/6FwQB43VZ8oB/SBpCVxlwdG6hztF/lHuyfP0aQBbQN9OW0xzyfv8GJMepH/YTsgwjJDXSEsPL3izVZeY6lvpCl9Gp66uYdyQP/Au9Evk16UGfJR7Qnp8vHHH0dtKHkLhM1zKLO0b7w77yQv3WofqTuUM9pewFtr6KWXtoQ6T9qoDgniQVmjfyedaSNohylz1OHHHnvMlzGeQXz55F0Im3jSzuPdl/OEwf+0NbTnpDlppT6OeJP21CvCIGylm2D8Q99F28EzCJfyI6/mQHmhnqu+qSyQzowBNdYCwqDtVv9GHPmdvOFa9eG825w5c/z/jIfwgKqyxrWUfXnnVLvc7n+eOJX/XId38LBPkId5jbfg+eef995BaStpayjzjEu4H4+llEEOxpDcxzhG45dYUdaSpxE/mEnHVAeHEWiJZOrJ7BGzdcxoaGEy6nBm6jC7YkYLcyV5isJ0hVkozfQxA8osemg6xQwK12nWSzP3mv1jJgbTGWbZmQ3X7AozNfzGczQbvnTp0sgkgxk2Zr80Q8SMULhGjlknZn+ZXdJMD5oLZpmkHWG2hmcw0ySTQGZxNPOo2UkW+zMrjsaL9+BZMsskbqx9Ygad2W1+R8uElk0L8HlvPNIRf2ZANePFzDHmQzIbldmg1pXxv+ztmZFjtovrk/ea4TeZW2jvH3mM1GJw3k9hMVNIesvEgdlX8ik09+H9WJeDIxfN8FE2MPMgbXlvzKl4J/Jf5orEWTOkWv/FzDZpiiaTZ+k5csIgTQWaA81iak8o7X2nGUHeNVynRjrJGyPviNaa9Vy8d+iAAlMW/Y85r7Ssyh9m11n/oLWozJDznjjOCM1P+Y0ygakSeaZ1IpRHaShCjR8zyJpR5FqewQws7ybzHuJMWpB+pAuztrwz/5OexIPfCUuzlcyoaiG/yjOac8om707+8g6alSXfiB9pozWZPButPrPdxI37ZNrD75Q36jKaZ5lxksaqZwMGDPD3Ud5Y3yMtfqi1xlRTawHJD96FZ+BkIlyzSphoeClrXCcTKjkjCteGYSLEgXZeWiPSNDRho4yRZjJBlLmb2hftJ8h3rTXlHGkjMy6lNXVO5p/kC+HIUQnhk24yjeQgXOo/bZdMa3mGNFeEy/thGqaZdt6ZuiZTeOJPuPxO2ZYzJtohtEfkCzPznKfecI5wmUGXKRyfMn/SXmxhO4GJrEwPqZfUWw7qudouyhDPoCzwidkaYaE9kNkvcdeeh2gYeFetsyMtqPsy7ybOtKOET9pL+0I4xIVnqN5j/olGRvlA/8AzaMdUdjAt5X857sDLHlpxnkGekE4cWotJGeV/9Wsq67SFtAGUN+JJuaUeS6tHW40Whf8pZ3LORFlRX4AmmOt4F0wxaSdk5YEFg0xWeS6aP/ov1qEnm7fTXqBZUbsn89VwaYXKEpotOfqRebjWHapch2tsKSekmbxTUr5UpsM2jrKpuiPnOJQzrSslH9FWyUJH7TO/SctCHktzGJrmke+ER1ha2ynrDXkHJ3yVA+oKbTb9SLL5ncyT5WhEfZXM7lV2SHvCp20lvynveC4lXrIW4pkyRUSD9umnn0Yaa8KhzceklLQKtWRK51CTSn1BC005IjzqCulMPvJ+hKG+ljVllHPtS6i0Ii5ygML4gXQlfK39U7z4n0/MFtUH8htllDDknArrAdpp0kx1l/9pm7WemvemXdN6Z40RQm2y2mSVf8aG6uv1/pQ5rWdVGSZ9wj1z1X+qXSU9ZVLKOdoDyrJMzJXe9Fl6/9Ckk/Ze453m/9NuhnWGtAg1zGjqNDbUuzCewYmQyhNjO+oaZYx2BO04fRfPpXyTx/SpxBUtLNYQLLMoa0zwMwpBo08lVgNEZaejYosFOQWgkaRgY37JeRoy2fyHjhxUuahwhClHKTovT2NhB1EShzYC5XmZNhdV48aRbBpFvDJtFBoe4bqt5IPGFMEPUw0GOeH6NdIJMyOggSzOs8JOUg5cSFt1GqEb6XSbpRbnkBttzDQ0kNmQI9k7afIhEzvZySvfwkXgydfLsyYdd3K6FBUfDQbpYLV2LCy3pCudrga5hIngRAdf1MbAf+eg08m0abPWsSh9kk3giLsG2UU9SwNdCcmqJ0pDOTUiDei0mdwI3YcnHxLE+F8CNYMszof1ivBx2425LkIDAy0JVPLgyzMZBGhgnC7+md6Pjp3wQscqqQ4EldDlvMJmwid0vFOc9Ayd/KQ7eCcEYgZp2rYh+X0wh2UiIpyYyHSQbxJAkuuQ0lxeJnUNbQT3yCmNfpeTmdAMVw4htO5pfcu1JmqYbNAgON3BwImBo4S15HAUZ9UTmVrJ2yDnyAfSmWclO5LKVBeUdryjtkbJtJG5Bt6amFM6ycw83X3kOW1aqk3LeW8G8RrMpjqK2oA63cHEDPUYqH8bssG9yhHlRumgciZPmn8n/EyHhDrlk8pEcdr69T3kyTkMXw6UaFvoM8J+PPlgwqm4dYX6prW6hKkyR52h3y1qY/twzVnytdrOgvEbMFZTm5Psh6A46a92oKTTu7hlL3n9tg7ixBgLxzqp7lWbl2kDdve/I5XTuOIe8syb6RrGg2VNOf6UtdbRMAzDMAzDKFkwp8bEDrNPw8g2MKvE9B9T5bAc6zymlsXF6sJfmOBnGIZhGIaRYzC8Yw0q68nC9aGGkQ2wdo/1hdOnT/frg1WOdZ71k+EazkxYXfj/mOBnGIZhGIZhGIaR45hXT8MwDMMwDMMwjBzHBD/DMAzDMAzDMIwcxwQ/wzAMwzAMwzCMHMcEP8MwDMMwDMMwjBzHBD/DMAzDMAzDMIwcxwQ/wzAMwzAMwzCMHMcEP8MwDMMwDMMwjBzHBD/DMAzDSEO/fv3coYceWuj8xIkTXbly5dyqVavKJF6GYRiGsb6Y4GcYhmEYG5m1a9e6fCCRSLg//vijrKNhGIZhmOBnGIZhGBvO008/7XbYYQe36aabumbNmrkbb7yxwO+cGz58uOvbt6+rXr26O/XUU73wd9ZZZ7kGDRq4ypUru6ZNm7oRI0ZE96BNPPnkk13dunX9PXvuuaf76KOPot8vv/xy17ZtWzdy5EjXuHFjV6VKFXfUUUe5H374Ibpm3bp17sorr3SNGjXyceP6l156Kfr9iCOO8HEQ55xzjtdkzp07138njlWrVnWvvfZaFB5xbN68udtss83czjvv7J566qlCmtDx48e7XXbZxT/z7bffLvH0NgzDMNYfE/wMwzAMYwP44IMPvMB1zDHHuFmzZnmB7NJLL3UPPPBAgetuuOEGLyhNnz7d/37rrbe6sWPHuieeeMLNmzfPjR492guI4sgjj3TLli3zQhTPaN++vdtrr73cihUromsWLFjg73/++ee9QEfYAwYMiH6/5ZZbvBDKs2fOnOn2228/16tXLzd//nz/e/fu3b2wJiZNmuTq1KkTnZs2bZr7/fffXZcuXfx3hL6HHnrI3X333W7OnDnu3HPPdccff7y/L2Tw4MHummuucZ988onbaaedSjzNDcMwjL9BwjAMwzCMlJxwwgmJChUqJKpWrVrgqFy5coIudOXKlYljjz02sc8++xS4b9CgQYntt98++t60adPEoYceWuCagQMHJvbcc8/EunXrCj33rbfeSlSvXj3x66+/FjjfokWLxMiRI/3/w4YN83FbsmRJ9Pv48eMT5cuXTyxdutR/b9iwYeLqq68uEEbHjh0TAwYM8P/PnDkzUa5cucSyZcsSK1asSFSqVCkxfPjwxNFHH+1/v+qqqxJdunTx/xOXKlWqJKZMmVIgvP79+yf69Onj/3/jjTd8uowZM2Y9UtkwDMPYGFT8O8KiYRiGYeQLPXv2dHfddVeBc1OnTvWaLkCrdcghhxT4vWvXru7f//63+/PPP12FChX8uQ4dOhRyHLPPPvu4bbbZxu2///7uoIMOcvvuu6//DZPOn376yW2xxRYF7lmzZo1buHBh9L1JkyZuq622ir7vtttu3hwTDSKmn19//bWPS3LcZDLapk0bV7t2ba+xq1SpkmvXrp2Pxx133OF/53yPHj0i7eIvv/zi4xyCOSj3hSS/q2EYhlH2mOBnGIZhGBlgjVvLli0LnFuyZMnfCicE083PP//cm3Kyhg5z0b333tuvmUPoY+1faIYpatas6UoK1uPtscce/jmsx0PIwzTzt99+c7Nnz3ZTpkxxF1xwgb+WOMG4ceMKCJvAvZne1TAMwyh7TPAzDMMwjA1gu+22c5MnTy5wju+tW7eOtH3pwGnL0Ucf7Q8craD5Yw0fQuE333zjKlasWGDdXzKLFy/2Wr2GDRv67++++64rX7681yISNueJC2v5wrh16tQp+s5v9957rxferr76an8/wuD111/vBUBpDLfffnt/Dc8MwzMMwzCyAxP8DMMwDGMDOP/8813Hjh29104EuHfeecfdfvvt7s4778x430033eS1ephJImw9+eSTbsstt/QaPTR/mG2yh+B1113nhUgEPLRthx12WGRKiTfQE044wTtv+fHHH93ZZ5/tNYeEA4MGDXLDhg1zLVq08B49R40a5WbMmOEdyQi0fDhpwdSzW7du0Tk0fbyXtHfVqlXz57gWc1KuxYMogiRCJvEwDMMw4osJfoZhGIaxAaCdw7PmZZdd5oU/hDm2UGANXyYQpBDq8LCJZhAh68UXX/RCIPD/0KFD3YknnuiWL1/uhTk0cfXr14/CwAS1d+/e7sADD/SaQtbnhQIngiDCGcIpHkLR2uFJtFWrVtE1O+64oxc2ES4333zzSPBjfaLW9wnej+0l8O752Wef+ft4/yFDhpRYehqGYRilQzk8vJR1JAzDMAzDWD/YNmLMmDFeg2cYhmEYRWH7+BmGYRiGYRiGYeQ4JvgZhmEYhmEYhmHkOGbqaRiGYRiGYRiGkeOYxs8wDMMwDMMwDCPHMcHPMAzDMAzDMAwjxzHBzzAMwzAMwzAMI8cxwc8wDMMwDMMwDCPHMcHPMAzDMAzDMAwjxzHBzzAMwzAMwzAMI8cxwc8wDMMwDMMwDCPHMcHPMAzDMAzDMAzD5Tb/Dx10t5xtkOmuAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,5))\n",
    "sns.scatterplot(x=\"Horsepower\", y=\"Price (in USD)\", data=df)\n",
    "plt.title(\"Связь мощности и цены\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "620e2ad6-8d9c-489b-bba8-9b33a5fbb0db",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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uXNn+jtJ6kmP7rV+Twe8T7wH+70qXLm2PQbvNqP/3JUuW2N9//o95na+66qrdO3fuzDDmnn7HstK+0x17TzfeX1l5f7v3Y1x7zj09L4QQIvvswz85KWwIIYQQIhEcC1y9ximwty4BH644U4vP1ea4AL8777zTbkfgo8g6vK68hjggijK8BrgSKAvKa9cHx+a94zt+ov6f+B3v0KFDnp6bEEKI7KGMCCGEEEIIIYQQQuQZyogQQgghUgxC+3r27Jk0vI9OHJUrV87T8ypMkIFBPoTIP/gd3lPXmjPPPNPmQwghhEgtJEQIIYQQKQYWeT+4Lwq6GIi9h44SIn/JzO8wXUKEEEKkHsqIEEIIIYQQQgghRJ6hjAghhBBCCCGEEELkGRIihBBCCCGEEEIIkWcoIyIF2bVrl1m/fr0pVaqU2WefffL7dIQQQgghhBBCFHJ2795ttm3bZsOwixXLnqdBQkQKgghRrVq1/D4NIYQQQgghhBBFjDVr1piqVatmawwJESkITgj3C1C6dOn8Ph0hhBBCCCGEEIWcX3/91V4Qd/PR7CAhIgVx5RiIEBIihBBCCCGEEELkFTkRD6CwSiGEEEIIIYQQQuQZEiKEEEIIIYQQQgiRZ0iIEEIIIYQQQgghRJ4hIUIIIYQQQgghhBB5hoQIIYQQQgghhBBC5BkSIoQQQgghhBBCCJFnSIgQQgghhBBCCCFEniEhQgghhBBCCCGEEHmGhAghhBBCCCGEEELkGRIihBBCCCGEEEIIkWdIiBBCCCGEEEIIIUSeISFCCCGEEEIIIYQQeYaECCGEEEIIIYQQQuQZEiKEEEIIIYQQQgiRZ6ScEDFt2jTTrVs3U7lyZbPPPvuYCRMmJDy/e/duc/vtt5tKlSqZAw44wJx44olm+fLlCdvce++9plWrVubAAw80ZcqU2eMx//zzT3PjjTeaRo0amRIlSthj9+rVy6xfvz5hu59++sn07NnTlC5d2o57ySWXmO3btyds8+WXX5q2bdua/fff31SrVs2kp6dn6/UQQgghhBBCCCFSiZQTIkaOHGnmzZtnfv75Z7s8ePBgs3Tp0uD5m266ydx9993mhx9+ML/99puZPHmyOeKII6xo8corr9ht/vjjD3POOeeYK6+80uzatctUrVrVPr9169bIY/7nP/8x8+fPN/vtt5856KCDzJYtW8yLL75ohQlfjECEmDFjhjn00EPtsUePHm1FB8evv/5qOnXqZEWImjVr2nPkfHv37p2Lr5gQQgghhBBCCFFw2Gc3FoIU4sgjjzTbtm2zQsSOHTusQwFnw7fffmvvWWaiv3PnTrvctGlT88knn5h9993XbNq0yfz+++9WMMCZwPJ///tfc9hhh5nvv//ejhnlkGD/jh07Rp5P3bp1zTfffGM++ugjc9JJJ0Vuc88995iBAwea4cOHm+uvv96KFMWKFbNiBOe7YMECM3HiRHPyySdn6jVA0EAQ+eWXX6z7QgghhBBCCCGEyE1ych6aco6IIUOGmKefftp88cUXdhmBAEHh1VdftWIEAsTQoUPN119/bT788EM70UdrqVGjhilZsqQVAE4//XTz1ltv2RIPlvekxVDGsWHDhoRb586d7XO4MSjdwDEBOCDcNmvWrLHrHn74YXuMN998055fxYoVzaJFi8x5551nFi9ebLdJVqKBeMJ/un+LA5Fj2bJlmb6xvRBCCCGEEEIIkVf83aQYKDAIDZRnAHkN8N1335k6derYx126dLEZEffff795++23g/0A9Wbu3Lk2J2LdunW2JINSCicaREH5BUJGnCOiePHiVgwB3BE4HRA9Lr74YiuEUMrB+eF8YFvKQXBqkBHBsdeuXWs+//zz2ONTfjJo0KBMvT44Oy677DKTWZ555hlbuiKEEEIIIYQQQuQFf0/1jIhRo0bZ+7PPPjvIeFi9erU544wzArECypUrFwgFOBgQIBAxEBnmzJljn5s+fbp1SYRBMMDhgKuB5/1xn3rqKXuPuAAIEn//+9+t+PDAAw8E27E/58yxyaRgTMpDKA0BQi1xSxCwGea6664z//jHP4JlSlMoUYmCMhPEBR9EEIQXykMOP/zwDNtnBRwUiB2ZhfEplSloxxBCCCGEEEIIkT+knBCxZMkSW4/CxN4FTyIyMMF2k9E2bdoEwgD87W9/sy4I1p1yyim2LAM3hCvJIEuCQMoePXqYlStXWpeCD/uTHdGhQ4dAhKCkg/W4LxAdXHcMsig4pzBs79YvXLjQ3lepUsU6NJKVWriyDYSEzMBrEOdw4DXKrvshLxwXcnUIIYQQQgghROEl5YQInA9MPN2Ev3z58mbz5s3mtddeMxdddFGwng4XZCvA//73P/Pjjz+ajz/+2LbzfP755xNyIRAh3P2//vUvM2bMmAzHbd26dZADAYgaCBEukwKHBXBsyjFwOvDYFzv8fREMcEg4AQOhIsoNAc41URDIbcdFXhxDjgshhBBCCCGEyD9SToioVauWFRmYGDLRP/jgg60Q8dJLL5levXrZbAgmrU6E8Pn000+tCwHBAeGAm++cQCy47bbbMuzH+E6EQCxAfPCdDzgcnJgBCBS+CAErVqxIGJNjU6bh4DwQJsqWLWsKMrntuMiLY+SF40JihxBCCCGEEEIUEiFi9OjRtjzDQecHl/1A2YQTGaI6YZAHQStO4PnwNvXr1w8mnNWrVze9e/c2d955p/nggw+CbRAhwIkQOBm4MbYDl4MvcBBQ+cMPPySclxvHh20KuhBRGMgLV0duix0SOvYO3rd0r+H9SkYMHXQQFYUQQgghhBB5R8oJEeQ7RNG9e3czYcIE616Ia8eJgEGLT+daoGTDFwdopUn2BB02uKdTBbkQUZkPDgQHwiNdZoVb54PzwXc/MPFheU9tQ0XqujpyW+yQqyPrECz7yiuv2Pe9v+6cc84xV1xxRb6emxBCCCGEEEWJlBMiKK1ggvTTTz/ZiTxuA1wEOBcQGXA8zJgxI2GSj+iA4IBbwmU1uMmIvx3ryI+oWLFikPXQpEkTG2Dp06BBA+uCWLRokV0m+JJOGQ6ORVcLrrh++OGHwSSUfTgGY7NN7dq1rYhBfkX4XERqk9tih1wdWQPB4cUXX7R/Ky655BJz3HHHmZkzZ5oRI0bY9SAxQgghhBBCiLwh5YQI2lg++uijwXKpUqXMxo0bzXvvvWevbNKCk9BKrnz6YZXONcFjJw4wscGi7cIgeQ43Q40aNWwOBcGVTFxY9rn//vvNTTfdFCzTspMJmHNFIECsWrUqoYQE4YQxXZYEokM4N2Lp0qWRbTl9kUMIkKsj8yD88feA9zL37v106qmn2i46/N1gfd++fVWmIYQQQgghRB6QrzPc4cOH29vq1asDp8Htt99uOnfuHLvPww8/nNDukgk+cGWTCQUT/GnTpkWGVRJk6YsD4aux7Nu1a1czduxYu7+baDVv3jyhhKNbt27WZeHYsWOHFRAQQZxDgu1p+UkApVtHm9FwqCWtSN02ZEREkZaWlnC1FhdFlGAhRE5SGFwdQCYEIiNOiLCoxzICxIMPPmi342+IEEIIIYQQohALEVWrVrXugjp16thJPmURhMd98cUXVpQI89lnnyWIED41a9a0ggBXOOPs3jgpEBkeeughKwL4DgU45JBDbCkG4sAjjzxibr31ViuSUPaBywExgbINHBjOZeE6bzDJefrppwPBA3eEExhcgGXLli3NmjVr7DJlH5yvv01cFkV6erqdnAlRmMgLVwe4IFnKMaJw6/3A2aKaoyGEEEIIIUShFyJwFvgw2cYhMWvWrEghYtiwYaZFixZmzpw5GZ5bvny5zWCYPXt27PFwQzhXg8uM8LnuuuvsPWUelGuQ3UBY5S+//GJFCECEALIm2J/xEDQoz3C4Eg0XiAlsRxmJAxEiDEJIFK50RAiRdRARgUwIyjHCsN7fLisoNFQIUdRRNyIhhBApJ0QMHjzYvP7667b15gEHHGCvguIciLtyyYThtNNOixQiDj30UCsA+N0pwiAYzJ071woEiBbYsv1JfoUKFex9ly5d7D2lFAgRH3/8cYaxfBGDD1zEE8b0O2b46fwIH4glycipK8BCiP+DL8WEVVK+hWPKL8/g/T9y5Ej7N4HtikJoKH9vnTML+JtJt6HMUr58eRsS7KhWrZqpV6+eKWxk53UqKq+REOpGJIQQIiWFiKlTp9ov/1999ZXZsmWLLVMgUC785d1BhgLOAiYNuAvatm1ru2TgLkBEiMtYcFACQgcMPjD9D03HjTfeaPMpcEQgKtDVwh3Xz4gAjk9WgxMimCyE23b6UIrh51P44ojLs2AC06xZs6Q/gxAia/D+5Esx3TG4JxPCdc1AhODvTo8ePfbqCl6qhYbi8urXr7/ZtSvj37+9pVixv5nx41+IdXRl1dVREBwdOf06ZeY1EiLVUDciIYQQKStETJw40Vr6mARQ/jB69Gib4/Daa6+ZXr16Re7jlHe+2L799tvmjDPOsOPgSDj77LOTHg/BItmXYcoryIW49tprrdiB8IAjgquR4daaToQA7Ih+aUYUiA2cc9R6x56EFCHE3uG+DPP3g2BKB+9z/v4U5C/LOSl28HeWyfVvVZqZ3fuW/Gvl7v+Zff5ILFNLxu59DzRmn7/Cevf5Y7vZf918O26ySXZWXB0FoXwlu6/T3rxGQqQS6kYkhBAiu+R7X0g+oJzz4KCDDrJCBAJDlBBB+YWzyrpJ/YQJE+w9dYk8nwxaaiIsJMNlU2CjJRwTxwYftA6cF77owIcvN/+DtlWrVmb+/PnW7cCXT0A8cWIGkx/cGZRq+M6McGaFECLnQGzgS7FqmY3530FVza4S5bM9TrEdm41ZNz9HXR0FoXzFsXu/UmbX/gf9tbDrv6bY/xcX9sSu/UoaU+yvj9di++xjCgp57UzZuXOnDXFeu3atDae+/PLLbRmmSH3UjUgIIUTKCxEOyhquueYaK0ZQxhAFtj9UeIQAvwyCL5RjxoyxE/84XHcLBAB/HaKAy4mg3SahlIgRjNe0aVPbMYN6X0fY+cAYHNcfFwGD0g43wWEbHrv8Cj68KRGpUqWKDb90okrchCj8IS+EyF6ZhshbUq0VLJ9Dxffdz5hVU01OwFiMmd/ktjPFh9d9xowZwTL5TFw4aN26tbpAFQJysxuREEKIokG+znBvvvlmm8nAl8K0tDQzffp0256zZ8+ekdtfffXV5uWXX86wftmyZXafBx54IFjH5B8xwO9aAc2bNw+2YZ0fVrl161YblgmffvqpvV+wYIHp3bu3ncAggri2mw7EBUItjz/+eDN06NBgPaKHazXKcWgv6odsctzwlanGjRtH/ty8Nr51nLKQI488MnJbIYQoauS00EEJxdgxowNHmyujy2z5HO48XxhHhAiXZeRHaGhYsMnpYNWwCMH5IfwRAE32ElZ91vO8xIjUJje7EQkhhCga5KsQgRuAEgz3ZezYY4+1DoSTTjrJLiMArF692gZSupIHvmgRJIYYgDDAlxw6aXCVx7XfdJP/cCAlwkSc2wJwR1SqVMk+vuqqq+z2XL3hy6hzM0S13TzqqKMCASOOTp06mbFjxyacH2IJbgc3dpwQkZ6eri9tQgiRhyAchMWDRo0a5cjY+RUaGifY5FSwqivHcCLEu+++Gzj9+IzmM71r1672ebZTmUbqkpvdiIQQQhQN8lWIePbZZ82AAQPMG2+8YcUGv7wBvv32W9OxY8eEdQceeKC59NJLzZAhQ+xEvlatWvbDDsKBkmHYd9iwYbHPI1x8/fXX9riIEHw541gnnnhiMHa4ewbwhevLL7+094gKUdtwbL+cxG3jRAiW40QS37UhhBAitcmv0NC8gEwI4CJBuNyQZUKlx48fb7ejHLOowwWVVMytyc1uREIIIYoG+SpE9O/f37zwwgv2Q5h2mM72io2VD2dyFLii4kOOAyUYhFoCWQ6IBt26dbOZC+AEgTCUb0ybNi3pOWFbZUxEAYQJwi1dmUac2IEbgjILd8zwNgglK1asSFgf3oZl2pjirhBCCFH4yevQ0LyAYEqgHCMK1iNEuO2KMjgKXCcwfx0T+4LcyacwdCMSQghRxIWI4cOH2/twJ4vnnnvOWjj5ohIuz2DCX7p06aB2l3BJ3AYPPfSQvZpAXsOWLVusOEGNLvZPx9FHH20FBlwPwH5+pwr2Z+w+ffqYG264wR4fQYQci0mTJkWKHDgZKDFB/XdwXL8tJ1cEEFnY1oGNMex0UPtOIYQQqQzdMQimJBMiKhiT9W67VOj8kVsgOOAmoCsXnSecm4BSB9ZDKkzk1Y1ICCFESgoReyqliCrPwC2ByMCknsk/H+Lcf/zxx+aiiy6y5RQIEZRB+CKEKwXp3r17bLtMlwUxZcoUW7uKCEG2w6JFi4Jtwk4Lfga2Q4xwIEL45RnuPPwOHSq3EEIIUdigRSfdMbhK7oKeHXxWvvrqq8F2BaHzB25Fvmf43wtwY2YWykO5qOGoUaNG0JI8Dl4HXh++v3Dv8hUIfSRvAUcE65ngp8KEXt2IhBBC7A0Fui8kwkC4PIMPu5tuuilYdk4E6k0RIggTI68BIQDRgKshXEHhg55QTEo4brzxRrsP7gi+dDjBgCBKUsQJ02Jcrtjg1tiwYUNwvHPPPdd2scBd4QsP/hcRHBFcFeDqgHNG8LzLsnDOCtwXiCZ+0roQQgiRqiDiE/JMICWfpWRCuK4ZiBB8LvP83gZV5nTnj8cee8wsXLjQ5BRNmjRJmkUFuAcox8AJEW7PzTICBKUObKcJvhBCiMJKvgoRgwcPNq+//rptY8aXErpiEEJZt27dwP0QriMlV+Lkk0+2j/08hTvuuMNmNWAJZT9acfqlF3TDQFjwry6Eu2ogIFSvXj0ow/joo4/sPYKBY9asWeaEE06wrgwXPum6bSxZsiS4IsIVFq56ODiuL0SwzapVqxKOH9eSM/xFRQghhCioOGEAMYI8CG4ORIjsdIHK6c4fBGbntCNiT3CRAijHiMKtd9sJIYQQhZF8neFOnTrVCgstWrSwpQq33HKLLYVgQh/XQYL6yaik7XHjxpk2bdqYn376KXAZ+KUXuCEGDRqUsA6nhA9XahAXsGoC9ZqIIn6vd1ebWrFixaAcg1wKX2RAWHF93l1f+IMPPtiKF45ly5bZfXyxxO+q4YMDw68V3bZtW6xoIYQQQuQ3iA2UJeJW5IICFwIoxyhoLTspo9hTKUVOg2PSfcegHCMM6/3tcjNHo6BnaQghhCi85KsQMXHixITlUaNG2Qn+vHnzTLt27SL3+fzzzzOsYzLPvuAEDN+x4Jb5AkT/9jjYni4e2EhxIRCmSUhmVDs0PxOC0g4nOPj46+gK4osVlI7gyAjnVESRnp6erStIQgghRF7DZ65adGaEMEfCKrmwQiaE73rkogztL/m+wHa5naOR2SyN3CY/sjqEEELkLwXK8+86YeAeiIMPFr8rBRN6RAZKMpo3b247bES5C1imEwYf/skgmJKsCAQR2mleeeWVCV8SorpdcCWBc3KERRB3nn7QZVRQZ9yVIgVbCiGEEIUDF+5IdwzuyYRwXTMQIcioov3l3gZVhnM0ciJLI7fJ7awOCR1CCFHwKDBCBBN3rpxQP9qwYcPY7biC4LfGRDDA8skkng+Z8KS9V69eZvTo0VYc4IPps88+S3oefAGgXOTqq6+2Hzrs71qHghvf74rBOfAh7/8sYXBq+OcNrlTDbY+NtaDZVoUQQgiRs7hyS7pjEEzpwAmBCJGd1p1xORrZydLIbXI7qyM/QkmFEEKkiBDB5H/x4sXm008/jd2GbIR169YlrKPUghuhWFECBiKEm+zzIcSHR5SrwcEHNO4KyiY43rRp06zTIkzY0RCXaeETDseMy4QQQgghROEGsQE3BN0xCKYkE4JyjFRo2ZlqWR35EUoqhBAiBYSIq666yrzzzjt20o+7IY5kHxp8oLucCChTpoztnMHVBScANGvWzNrzosoiHIRTImy0bNnSzJ4925ZntG/fPnBAuHF9ECx8IcIPoHRQ7uGEB5wQ3MJiSFF1Q/B6u7KcOJzjxHeexEHXlKhcDyGEEKIglmmIwhdKKoQQogALEUzsUanfeOMNW/6wJ4W5Xr16CSURPlxJwO3gcGIBbgYXcHn++efbjha+IBB2JSBAMBZJ1hyLLh6o6O6YblzafDIpZj1BlH4wpevGQWcL19ITocKdO8fkMaLLr7/+am/JSjMKc/tORIgLL+pl/vwjsWwljsyEdhbfdz8zdsxoiRFCCCGEEEIIUQD5e36XY9ClAlsik/kffvghuKIdNSGn7pFJ+dFHH22zHpjMI04gLjD5b9y4sTn00EOtAEBrUJwQc+bMCfbv1q2badq0qbnrrrtsMBTBlkyEfTGCVpwID4gU1GnWqVMnMleCdmROnODc/S4awLlt3749WC5evLhd5+DcGCMzFOb2nTghECF21mxvdu1/ULbHK/bbL8asmmrHlRAhhBBCCCGEEAWPfBUiaI8JHTp0SFj/3HPPmd69e9vH3CMYuMBIBAqSpd2kHhHCuQlYR73lfffdFzzvxIKSJUvaW/369W2pxfz58+2E3uHcChzro48+shP/J5980px00kmmSpUqGc6dsgrOheNyQ4xwOGHD7+NNuQadNSjZCJ+bO35caUZRaN+JCLGrRPn8Pg0hhBBCCCGEEIW9NGNP4E7o2LHjHrdzk3jcFa4bhT8+zgZwLolwhgPbIgbQAQOnhmsLShcP31XhgwABFSpUyJAbAX4ZCdkSpUuXtseN+rnJsoijKLTvLLZza4EaRwghhBBCCCFE7lCgwwew1xNQ+e677yY4C1ymAiAWEPZEGyW2J1wyCib/f/zxh5k8ebIVA1yIpZ8TccEFF5iyZcsGycrHHHOMFTB854SDYzIekG2xaNGihOcRHXje5UXsKQW7qAZVOg74dlp+n4IQQgghhBBCiKIuRJAVEc5RwH3gsiScwEDidNu2bc28efNix1qwYIHNeqCsw2/f6edDtGrVKmj5iUAxa9Ys24mDjhcOyjvIfnAiBJBL4W/DeYe7QPjbOFHCHyOq/KMosbNGO7PrgDI54oiQqFF0oVRrzZo1wfKff/6ZECS7J8qXL2/zXKBatWo2g0YIIYQQQghRhISIKJzDwBcixowZY37//Xdz2mmnJd2XLIq77747ttTh6quvNt27d7eTERwKOCcozXj++eeDbVwApV92QbeOdevWBduERQi2xWnh9nUChD9GUSi/SAYihDIiRHYgeLZfv/5m166/2vVml2LF/mbGj39BoadCCCGEEEIUdSHixBNPtB0qyIJAWBg8eLC5+eabraNg06ZNdhvf8eBDKcaGDRtix2afxYsXmz59+pirrrrK1K1b15ZmUB7iQ1kHIoI7Bu1B/ePhpnAlH9wQG9avX5+QDcHzdAFxWRVMooQQew8CICLEb1Wamd37lvxr5e7/mX3+SMyDScbufQ80Zp+/mX3+2G72Xzdf3VeEEEIIIYTIBVJOiAh32kCEgLlz59qshmTuAizbnTt3NsuXL4/dpnnz5ub999+3QsPSpUtttw6/7eZhhx2W0A0DKPfwcQKEz+zZswMHBOIGY/iBmeRQ/Pzzz9Y5EQZhRQiROf53UNVsu2uK7dhszLr5OXZOQgghhBBCiP8j5Wa4LVq0sKUNOAxwQLgWmt26dbMOhmTUrl3btvdEhGDCz8Tfp1mzZnY9TgWCKhEiKLvw8xvCIgSQWeFyHxAbuLFMfboLxGQbJ0QghOCqoJOG322DbaKEiLS0NNtO1BctjjzyyCy+ckIUDYr95pVG7fqvKfb7XyVRmWHXfiWNKfb3xDGEEEIIIYQQRVuIQHhAhHA5Cy4zAhECoSGcveC7Cj799FNz66232uWwCAHz5883X3zxhenataud+NeqVcsKA7ggHG5s/xhbtmwxlSpVMitWrLDruJFZ4Z7HHYH4gTjhzheBIpwlEUd6erq59957TX5B2Uiyc/3uu+8S7pNBkKes7iI34Her+L77GbNqao6Mx1iMKYQQQgghhCjiQgQwKXYdKA4++GArBNSsWdOWZjBxwG3w008/ReY/ED750UcfxY790EMP2UBLunX07NnTrvOdFk5c8AUJRJGwkyEshLDNfvvtlyFsM9xZI4r8DLJEhLjwol7mzz9+3+O2mRFLmNyNHTO60IkRexJrQIJN7sLrxe+W//+AIOh32dkTvAd5n4L+D4TIGny+RbkG40Dkx4EohBBCiKJHygkRtNicNu3/2jMiQjBxKF26tBUFOnbsaCZMmJBhP57HsXDllVeaQYMGRY7N/r/++quZMmWKXXY5D1GTEfccggMlFn77TjeWL0YwRjg3IixWFMQvZEzqECF21mxvdu2fvavD1u6+amqhCwDMilhT1AWb3IbXK/yaNWrUKN/OR4iiBCLEZZddluntn3nmGXPEEUfk6jkJIYQQomCSckLE66+/nmEdVz1vueUWM3bsWOs8wBFB6YMPuQqIEX6ZRRiEgYYNG5qFCxfaZbIdwG/NGQXhk9OnT88wluucAeXKlbPn6RNVQlJQQYRQe83cF2sKs2AjhCjc8PmKuOCDAwzxdeDAgebwww/PsL0QQgghiiYpJ0QsW7Ystq3nvHnzbCvNqMk960qUKBG7v+Poo4+2ZR2IBAgbuBSqVq2adB+e90Mn/dadvuWb8EpwXTj88yQ/gvwLkbrkplij0g8hREGHz8s4hwMihNwPQgghhEhZIeL88883L774YjCRRwSYMWOGvbLy8MMPm82bN0fux+S/T58+wb5xtGzZ0rzxxhtWtKC2nDahCxYsCJ5nPa6LatWqmVWrVtl1xx13nHnggQeCbYoXL25dGeBadNLlwgkPCBXcSpYsaQUM1vudOYTwUemHEEIIIYQQojCRckIEV4VxDjz22GPmkksuMdu3b7e5EXS84B5cS08fJvtdunRJWr9K143KlStbweK6666z7giEiEWLFtnnEQ9cFoQfyHXssccmCBWubSelIAgRXCVyAXjuXBBGCKGkmwfbJ2s9yjai6KLSDyGEEEIIIURh4q8QhBTivffes5N7RAjAUUCGw1VXXWUOPPBAu65t27aR+xJs6dp++hkQYQirpNRj9uzZZtSoUUEdK6UWbh/XyYKSCv8eoaJUqVI2D2LTpk12nRMh3L4IJYgL5Fa4co3y5eMt/WlpaWbNmjXBbcmSJVl6zUThKv3I9i0HxAwhhBBCCCGEKFJCRBRffvmlLZfAhYAbgnBIP48BaPFJGYfDZTi4beiq8dZbb5muXbvawErW0+6TMMrwPg6EDdqC0kbUjYXg4Y+L4EBbM1eugViBmOKf25w5c2J/5vT0dPuzuRtlHkKIrINT6YsvvjCTJ0+29+FQWyGEEEIIIUTuk3Ke/7hAR8L3KIFo1qyZ+eSTT4L1fiBkrVq1zLfffpthX7cNrgbCLnFD4LI46qijrAgR7oDhd7ygdefjjz9uKlSokOF47jH70VKU7AjngAizdOlSs379elsaEsa5L6JQiGHRodjOrQVqnKyS37+rtP198sknbfaLHyLbr18/065du0yPI4QQQgghhChiQsQ777xjhQYSuGvUqGEaN25sJ/CsR4gYP368qV69up28h692Urrx6KOPmrfffjtybESCTp062TGAcZzoQLmFP4lyIgNixcyZM03Tpk2TiidsQ4mGC6/0xwCEDkpBzjzzzEy/Fhs3bjRX9uuvEMMiwgHfTjOpSn4HbiJC3HHHHTZY9rbbbrN/OxAlx40bZ9cPGjRIYoQQQgghhBB5RMoJEYRS4kAgg8GVRsyaNStwJDz11FPBc2G4ysqEJA5CKpmMEE6J+OA7IH799deEbREVOA6TmXCZRdg1QUkGV2HDmRTueUBE8a/UZgbOSSGGRYedNdqZXQeUyRFHRF6LGvkZuIkgiRMCEeKee+4J3ocNGjSwy7feeqsZPny4LcNy5VNCCCGEEEKI3CPlhIiOHTvaLAcmIEzEKWUgg4EuFoRKJstP+Oqrr6yTIo4xY8bY9qC08EQgcJ03fvrppwT3Ajixg/BI8ihcNw0ft48rx4gry4Ds1Kq7EENRuEGESPX/5/z4XSU/BpEPJ0RYDGS5Z8+epn///nY7HE5CCCGEEEKI3CXlwirJcWDy7xwKH3/8sZ083H777Xb53//+d+R+iAWbN29O2iaTIMgHHnjA2sj9PIqff/45w7YlS5YMxAbqzH03A24J9iUTAigTYRsCKx08R7CmL2ywjRAiZ0FIBMoxonDr3XZCCCGEEEKI3CXlhIgbb7zRTv6d2+Cmm26yj2mzyf3cuXMj96OTBVkSfgeMMKtWrbI3rN6UTfzzn/9McDJw9ZQSCn8dx8Tyzdj+xAbBxLkcuGcbP3Syfv36CcIE4MSIglafQoi9w3W0iQqq9de77YQQQgghhBC5S8oJEclgQrF1a3xHAEo3KONIxkUXXWQdEWXLljWjR49OSPAnM8KJB640AyGib9++gciAAPHNN9/Y0hEnWsAZZ5yRcBxs4IzhXBN034jqmAFpaWnWBeJuS5YsydTrIYQwNtAWtxHBlOH2uyyzvlKlSnY7IYQQQgghRO6TcpfaBw8ebF5//XU72YfXXnvN9O7d25Zc+G07oyBHYvv27fYxAgBOA5cD4bpqEFyHG4LSC7IoOnToYHr16mWfr1ixoi3x+PrrrxPGRZxwpRqEZ1JyQemI3yFjwYIFCYGWHIvnnbOC82BfhIww6enpmeoiIITICAGUtOikOwbvbzIh/K4ZdLSha4aCKkVhY08tc9XaWQghhBD5RcoJEW+88YadvJPBgKiAw4GWm7gEFi5cmHRfnAsICcAY4fDIY445xooFhFpu2LAh6KThAu5ol8ktDJZuhAWHy69gYkNZBvdMdtwyIEIwrrtCizuC40aF5fklHUKIrEM3HMQGumcQTOnACaHWnaIwkpWWuWrtLIQQQoi8JuWEiLPPPtsGUrrJeZUqVcy8efPsDefCo48+mtAW0w+QHDFihH1cvXp1s3r16gxj33DDDfaeq6WMzxc51n3++ecZtkVEcFkVCCIlSpTIsI0THRAb1q1bZ10YuB4cYZt4Vtt3CiEyD2IDLTopiyKYEgGRcgw5IURhJCdb5qq1sxBCCCFMURciateubcslCHu8/vrrg8wHHAVt2rSxAgG3sIuA59u3b29eeOEFKwpE0aJFC3s/ZcoUe3/00UfbkovmzZtn2NaJCJRS4HZIFiiJWEHHDr80QwiR9yA6qEWnKEqovbMQQgghCiIpJ0RQkvHss88Gy8uWLbP3Tz/9tKlVq5YVCLgx4XjmmWfMJZdcEmy7aNEi254zXJLhIAPCOSYQD4444gi77LfZjDofnAyuHCMOBIu44zoIrBRCCCGEEEIIIQozKdc1g4l/FDgX/NIGhIgrrrgiwYWAuFChQoXI/du2bRs8Xrt2rb13rT5p6RmHK7/wsyNwRyAq+MICDg6/LINtSPJ3+RNumyjUvlMIIYQQQgghRGEh5Wa4lGUgKFx11VXmiSeesGLD8OHD7XOfffZZsJ0/6XcQEFmzZs3IcadPn24zIah/nTVrlhUIyKOAOXPmxJ4P3S4IwHTHQwDBkcFytWrVgnai7rwdlI6EhZM4RwTtO/k5HZSjHHnkkUleJSFEYe10kJVuB+p0IIQQQgghCiIpJ0QwmR8wYIDtngH+5H3Tpk32nkA62nv+/PPPCYGQV199tdmxY4d9jFOiVKlSCSUVpOm/+uqrpnz58nbif+mll9oyDcZL5oh4+eWXA2eE3xVj6dKlwXYIBy5EkzINnB3+ZCNOIAG17xSiaJCVTgewp78L6nQghBBCCCEKIiknRCAWEDj55ptvWpfB/fffb4Mg6ZbhSihmzJgRue9ll11mHn74YfsYQSCc68CYOBk4BgIEQkbv3r1tx41kkDtx3nnnJaxDdOBqJI4IMiYYA9cDTgiO4RwUTpyI6rrhUPtOIYoG6nQghBBCCCGKAimXEUEZBl+sESEchFc++eSTtn0nboYoEBbouHHaaafZZT+bwZ/wU4aBm8EFUOKoWLx4cdJzohsH5RluXCcuuLIMd05RoZeuXAP3RFQ5iRCi6HY6yNYtm0KGEEIIIYQQuUXKCRGDBg2KXE8LTcSARo0aRT6/evVqG/rIlUFKI/ySDQcCAvvTvpN2n4gKhFh269Yt9nwInGS/yy+/3C4zrp8F4Qdsui4ccVkTX331VezzQgghhBBCCCFEYSDlhIh27drFds2ASpUqxe575ZVX2hrsOOcBQgGuBRcEyT2dM5K15sQ50bVrV3PMMcfEbuO6cOy///6x27ixhBBCCCGEEEKIwkzKZUQwWW/YsKEtocBp0KBBA3PiiSeaRx55xD5fvHjxDPtUrlzZrF+/3owfPz4Ik3SwPQ4GyjIoj3jrrbfMypUr7XPNmze397/99lsgcmzYsME6JXxHxTnnnGO+/PLLoFUo4+G+cNkOlJIsWbLErFmzJuHYBx54oC0DEUIIIYpyhxdQlxchhBCi6JBSQgQTeTpffPjhh7HuglNOOcWGWfKFhhBLQIQAnA2LFi1K2P7PP/9MWB42bJjp169fwjrnskAEQWxAvKB0w1GrVi2zYMECU7FiRbNx48bIgMkxY8YEmRGAmEE5hi9qEGYZBaKGEEIIUVg7vIC6vAghhBBFh5Sa4c6bN89O9Js0aRKsI1eB2+OPP27FgWOPPdaKC06E8EGcINPBBUjahPo//7RlHdu3b7fradkJCAR0zHD5EoAAQVmHL0IgTOC4KFu2rPnnP/+ZsN7Pivj2228TxAnGYtl3VvhChU9aWpptJ+rYtm1bUD4ihMg8vH/pjoM4yfv29NNPt5kxmUVXgIXI+Q4voC4vQgghRNEipYSIE044wbRu3dq6HijPOPPMM215A5P+jz/+2DoKqlWrZurXr2++/vrrDPsjFCxfvtw+pjWnK9NwIgRjde/e3TouypQpY0aNGmW7c7jSDN89gZDAMvc4IiZPnpxwLEQIOnU4EYNJSalSpYJJjC9mOFxJSJj09PRMXU0SQsTz1FNPmVdeeSWhPIt1lFb5Ql8cugIsRHyHFyGEEEKIQitEMJEnGPL11183Q4YMCZwLCAlOLNi0aVPshB6x4vjjj7ePw1kRQF7DY489Zq6//nrrkpg1a5Z1Rdx0002BuICjghINJ0q4cfz8B+eG8K+I4tBo06aNefHFF+0y+RaUZvg40SJMuMxDZJ09XcnWVezCDYID7z2cS5dccok57rjjbKedESNGBO/JPYkRugIshBBib+E739NPP20DzKtWrWq7rbmuakIIURRJKSECXnvtNVua4EIpnbOAsgYEicaNG8d2xUBYmDBhgrn99tuDdbgg+HBAOEDUeOedd6zj4vvvvzcHH3ywdUS4EMqozhYIEf/+978DIQRcSYa7Z39uPXv2DCY9YRFC5B5ZuZKtq9iFD/4e4IRAhODeZa6ceuqp9r2OI4L1ffv2zVSZhq4ACyGEyAoDBw40M2bMCJbnzp1rv4/i8pXjVQhRVEk5IYJOFs8880yw7JwJTz75pDnppJMiu2a4QEhEg2+++SYhv8GJEMA2BFoiTgBj9erVy2ZQJIPSialTp5prr702g9OCchHW4ebo3Llz5P6UgSCkULMucp6cvJKtq9ipB5kQvAdxQoSDX1lGgHjwwQftdogSQgghRE6LEHyn5DOmS5cu5r333rMCOOt5XmKEEKIoknJCBA4IuliQ8YALwU30H3jgAWtxQ4x4/vnnE/ZxQgNXO8eNG2eFCScY+IGScMEFF5jRo0fbx3xgsG29evViW23ywUJLz1dffTWDCIHg4dZVqFAhtiuGKxnAgVFQKbZza4EYIzvoSnbRxHXNoRwjCrfebSeEEELkBFzsciLEu+++G7juLrvsMlv6S7kxz7OdyjSEEEWNlBMiKI247777zKRJk2yZA3/cuapZo0aNYBu/JSaUKFHC/pHnCnadOnUSSi2iRAEs3IgGBFtSmsGV0qhwSefIoJWonxHhgix9wYN1foCmOwfu3bkefvjhpqBywLfT8vsUhNgrnNOITAjKMcKw3t9OCCGEyAnIhHAXtsKlfyyfffbZZvz48Xa7a665Jp/OUggh8oeUEyLef/99M2DAADNt2l8TY0QIsiFo7dmuXTvTqVMn63rwhQjXFYN1hFVyj0iw3377ZchqaNmypb0/+eST7X4dO3Y0s2fPTnA7cEyEBRwZOCoou+BDBleGXy7C+M5FgaPi7bfftvsSPhnOkUjmiAjbyfODnTXamV0HlMm2I0KChshraNFJWCXBlGRC+O8n3osjR460wiPbCSGEEDkFwZRAOUYUrEeIcNsJIURRophJMfr372/Gjh1rjjnmGLt84okn2nuX60DXg7gSCASDBg0aWFcEYkRUYCQtO7HKvfDCCzbcElfE9OnTE7Zh8uJnS2DtJgEZccPHL+VAlFixYkXQASPKlREXspmWlmYdF+62ZMkSk9cgQlDWkK1bNoUMIfYGrjohFFLOxT2CIF1suPfXZyaoUgghhMgsfDcEMiGicOvddkIIUZTI/0vtWWT48OH2nrRh/37x4sV2ck/gD5N+JvzhzIZBgwbZMMqNGzfaZZcv4cPzwOQEYaBatWqxbTUdWOtoKeq7MKJEEFwbjnA2BcSVfxCGqSAjIfYe15qTcDCCKR38DejRo8ceW3cKIUROgJOSrlyZ5bDDDrPlnyI1oUUn31P57CETwhe8+Y5JvpjbTgghihopJ0RgY5s8ebK59dZbzW233WY/oAn6qV+/vq2x27FjR+y+lG7Mnz/figwQFiEAtwQcffTR9v5f//qX+fDDD60Lw3Xb8LtuOJHhjTfeSHreJUuWtFdhHc4RESVIhHEuCiHE3oPYQIcMMl8IpiQTgnIMOSGEEHkFIgRBhZmFLmFHHHFErp6TyD0IoKRFJ99Tcdty4cp1zUCEoJSX5xVUKYQoiqScEOFsbIgQ7uoCLT3JZ+AP/IIFC6w7Ydu2bRn25Y8+qjMiA+4EXwRw2Q2tWrWyJRWEViIePPbYY+Yf//iH3SZKhIAbbrjB1KxZM0GYCB+fsTZt2hQsRwkQhx56aDZeGSFEZss0hBAiP8Dh4LcgdyWluB5p4xgOrWZ7kdq4/1vECPIguDkQIeR4FUIUVVJOiOAqZlSbPXIc+vXrZ682RGU/AK6J5557zsydOzfDc4gHiA8o1VOmTLHCBOPQNYPavYoVK9qSjrCAgDCxdetWWw7icCKEL1qUKVMmQwZE2BXBNkIIIUSqkFNtmfO7vXNegYszzuGACCH3Q+EEsYHvlDh3CabkeyUXxuSEEEIUZVJOiIgrvSDbgT/ow4YNsx0vNmzYkGEb6sEJoYzClWvQ6pNOGTgtcDkgRLgvCC5bwsG2nA9J/D/99FOGMX3RAtdGVEDlQQcdZIUMwM3htyEVQgghCjLqhCRE5uA7anZadBJ4/u233wbLuHdXrlyZ6f1r1aoVBLsD3zdr16691+cjhBBFTojAtRCFK42gdCNKFIBvvvnGtG/f3nz22WcJHS2cSEHYJMGUtAZFNCA88s4777Q3PkCwdVPP5wQGRIjy5cvb9n/nn39+MBblHRwj7Njw2wbS/pOxnAjB8X744Ye9fl2EEEKIVGztDGrvLERyKBVeuHBhjo3XpEkTe/FOCCHyi5QTIp588knbOQPBgBIIxAFKHlCZEQjojIFTgYk9rgZ/4n/JJZeYE044IYMI4YIryXFAVMAyRy7EmDFjrCMCwWDRokWR7TVxYowePToIuYSZM2faUo/t27cHogWCA0q0K9tgfaVKlQLnBstR5wW+gCGEEEIUFFxrZyFE7jJgwIAcd0QIIUR+knIzXCb5CAyuVaYTBxAe+ANNDd5DDz1kWyV9/PHHwX4uf6FTp042A4KJf9myZYOSDD80avDgweaQQw6xggRCBKJHeDsHogfb+2FDjO2HVRYrVsx88cUXCe09CcYMl4/EpfenpaUltBdk7COPPDKTr5gQmePHH3+MdRz57w//PhmUHfE+EkIIIUT2oIxCpRRCiMJEygkRTN4vvPBCK0hMnDjRTvKZ+NM+87jjjrPb0J6PdGIfVwKxZMmSwKUQFhdwMOA+QGWmw8VRRx1l1y9btiz2fBijdOnSScsqECBQoZO1FoV69epFrk9PT1eqssh1EeLCi3qZP//4PVPbZ+b3sfi++5mxY0ZLjBBCCCGEEEIUHCGCLIahQ4faVpoIDIgJZ5xxRuz2vXv3Nh999JG9OZzLAFGCNkjucRjKK6ZOnWrWrFmT0M0CIcN3KlC64RwTOCJg8eLFSX+ORo0a2X3C+GM3bdrUvPXWWxme5zjuXGgrGgXuCSFyE5wQiBA7a7Y3u/Y/KNvjFfvtF2NWTbXjSogQQgghCj5kqfE92f/uvHnz5kzvT24apdBQrVq12AtsQgiR70IEDgHCcvr27Wu6d+++x+0J1WHSPm7cOJvp4PPII4+Ygw8+OOn+hE4iDDAGIgC5DkuXLk3Yhj+azj3x5ZdfWvGD7XzxIkyLFi3Miy++mCGI0hc4yIPwzzlcFsL4rBMiP0GEUL23ECJLoqNj139Nsd+3Z3rfXfuVNKbY3zOOI4TIF2dkv379za5did+v95Zixf5mxo9/IeFiRLgElFD4rAS1H3rooWa//fYLllUCKkRqk69CROfOne0ts/AHh2DIKN555x0b5JMMhAG6Y7jHYRECUIL/+mPczwZjNm7c2HbhiBMhXEslsikciBDAsZz4ULdu3YR9ECF8ccOdlxBCCFHQ4fOY8iucTzkF4zGuECLvQSBAhPitSjOze9+Sf63c/T+zzx/RQepR7N73QGP2+ZvZ54/tZv918xNckVktAc0MUSWgOdnmVC1OhchdUi4jIo5JkyaZ008/fY+WsfXr1yfd5sEHH7T5E4yHEMEfpD2VZpBNQZmJgz9g/OHzHRAc1y/VcNv45RcEb8YFVgohhBAFBb74MwHQ1U0hChf/O6hqtp2RxXZsNmbd/D2XgGbXRRVRApqTbU4z0+KUAP3vv/8+02MedthhZv/998+BsxMi9Uk5IeLiiy82zz//fIb1hEtGfYHxJ/+UXSAszJo1yy7zBYjnEQxc940KFSrY+1NOOcU6Fs4++2xbM+fDekItnfOBPyiscziBgY4aLqASNdbfBgdFlSpV7Jc2J1h89dVXQUCmEEIIUZDhMzf8uUtmkhBCZLYEdFepgtvmNDMtThEhLrvsskyP/8wzz5gjjjgi09sLUZhJOSHik08+SVguWbKk7XYxfPjwyJaCfk4DbTZHjRoVLNPtAiXViRBOnOAPGAJFjx49bD6E33cZKKdwIoQTEEqV+r+/pNi4+MPkd8kIixlss2rVqgTXBGUhUUIEoocQQgghhBCi4LQ5xeGAuODDfITuYgMHDjSHH354hu2FEH+RcjNc3/bJBB1nAaIBf3RwHCQLlUTldJ0wnIsCkcEJEezLWGPGjLECxqWXXmrXh4UI52xwx5k8eXKCoEB9Wvhc1q1blyCKLF++PMM2cdautLQ0c8UVVwTL27ZtM0ceeWQWXjUhhBBCCCFEToIrOs7hgAgh94MQ8RQzKQY1qH6uAgIAE/z+/fub6tWr2w4WcRCUU65cuUBIQHTwcxpYT81q27ZtrcOhY8eO1oER7sbht9x0+Q9lypRJug3nyPGSbRNHenq6bYPkbhIhhBBCCCGEEEKkKvkqRFBSsWDBAnsDSiJ4nCz0hQBJJv1M6hELmjZtatdXrlzZ3l911VXBtn4mgxMuyICgJAN8h4JbJnjyvffeswIBZRoE1dB6M1lXCxwVuC3C+MGTbOPyJ8K4sTlOFJy3EEIIIYQQQghRGMhXIWLu3Lk2E8HlIlx33XX28e23326X77zzTutyCJdmkOtAECQlChs2bLDr3ST//fffD7Z1bgOXsYAwgWDBNmGRwpVgnHHGGWbQoEFWJGnYsKEpW7asFRn80gs3li844FQIQ46Ec0FwLs2bN094nuc4pjtPfh4hhBBCCCGEEKIwk69CRIcOHYLyBP/mAiVxSLCND6USiAlugr9582YrCpDcjZNi/PjxsY4CyjJoxdm6devIkoirr77a1nohVDA++/Xu3duGUYbx92db2vdEZUg418UBBxxgzjvvvIQxeI7SENqKAuKKEEIIIYQQQghRmCmwGRFM4hEd7r777gzP4Yj49ddfA3EBx0OnTp1s54xkUGoxduzY2FwGlxfB+IgEuC0QQrZs2ZK0kwUCgr+NG9/PhCAld+nSpZHH3bhxY9ABRAghhBBCCCGEKMwUWCECVwHtb8IlD4gTp556arC8detWM2HCBBvgeNBBBwUTehwIYRAYjj322NhjDhs2zJaC0DeYHAnKM6ZMmZLQR7hNmzbWfeHnNoTP0eVW+BkUDRo0sNkT7mdr3LhxhvBKgjKjUPtOIYQQQgghhBCFhQIrRMRx5plnmldffTUQHWjHedFFF5n58+cHgZUEQ9LWMyoQ0uVPREEL0EmTJlnB4NZbb7UlE3TO8IMqP/30U9t9o0uXLsG6k08+OcER4cI3/VahdOJYvXp14Jig3KNixYq2FMSJDXHdMGjfuWbNmuC2ZMmSLL1mQgghhBBCCCFEQSHlhIg333zTuhFwQsCqVavMTz/9ZIMu3cQfISIMYZMET+KyiGPFihWmbt26ZujQoVZoIHMCVwPjhwMqJ06cGDzu06dPEJrpl1esXbs2KAnBieFKP1hmXII3XbYEuRWsj0LtO4UQQgghhBBCFBZSToho0aKFbanpumTgjGACX6VKFdOsWTO7jpKHqHabTOgHDx4cCAaHH354wvN0sAg/fuedd4LSCJwMxYsXTyi7cEGZv//+u11GWAh35KDNKLjOG25bn6OPPjr2Z1b7TiGEEEIIIYQQhYWUEyIoucBp4MIqmfgzsUeEcM4Fv1uFDyUVPXv2tI/Jfwi7IxjbuSkIv0SAOO2000yjRo3sOgSGcBtPjkWbTudmQDQIh2H+/PPP9t4/p/A2tDIVQgghhBBCCCEKOyknRCA2MNl3LgFEAKhTp44tdYD69esHzgUf8h1wUNSrVy8QFnznhMtuIMuBMo0yZcqYXr16BU6LKIGDMTgWZR8+fhAl4gViRDh00ndOfPnll9l4VYQQQgghhBBCiNQg5doxPPvsswlBkU4YePDBB4OyC/IanLMBocG5GHBPrFy50mzevDkQFsIOBzInnNuC7AcEhfXr18eezxFHHGHvw106woIFQgPlHn5+he+KcK4JkXsU27m1QIwhhBBCCCGEEEWZlBMiotpyAu4F1/7Sn9T7QsPVV19t9t1336CEAyipoLSDjhm4ICiRcB03Nm7caO+d0yKK5cuX2zIP34GB04FuGIztQjVpMcq5u2WgRSgBls7dQekIeRMidzjg22n5fQpCCCGEEEIIUeRJOSFi5syZNthx4cKFtiyDyT2lFnTTwGGAGMGEPpzBgIuCzhRvvfWWdUk4x4Ir7XCuB4QKxh82bFhSAcLBOLQP9YMvOTZiht9CdPbs2bYsxHXXQKzAeeELGJzbpZdemuEY4ZIOsXfsrNHO7DqgTLYdERI0hBBCCCGEEKIIZUS8+uqr1rngXAS4GdatW2e++eYbO7m/8sorM4gQ8N5779myjnHjxgXiAzhBwrXWJGsCNwO3Hj162HXOaRHHUUcdZRo3bhwsIy6UKFEioZUn4gjdPhycK8KE79iYN29e5PhpaWlmzZo1wW3JkiWZeKVEGESIXSXKZ++WTSFDCCGEEEIIIYo6KSdEUC5BeYMTGxASWDdgwAC7/PXXX8fuO3DgQHPssccmHZ9yiurVq9s8CSdS1KhRwwoTcVSsWNEcd9xxwTJCx44dO2zJhoOxjjnmmGCZ8ycvws+SiGvTSdvRatWqBbcjjzwy6c8ghBBCCCGEEEIUVFLO80/rzijc5PyTTz6J3XfTpk3m2muvNePHjw/cB+FQSUooKM2gfOOSSy4xNWvWNB06dLBCw5QpUzKMiUARbgMaRbly5TKs80s3oFSpUpH7xgkUQghRFMFh9ssvvyTdxv1dzszfZ9xpyucRQgghhMg7Uk6IOO2002yWQhhXrnDYYYfFZju4dplt2rQxc+bMSWif6aCrBmUcZEUgUrhyijPOOMMKEezjl37gnHDZFeHnXBAm4MSYP39+8FxU+QhuByGEEMlFiAsv6mX+/OOvv6174t57793jNsX33c+MHTNaYoQQQgghRB6RckJElAgB7du3t/d33HGH6dq1a2wJBRASGRYNHGQ70LbzmmuusU4EQjB79+5t3n//fft81D6UhkS5GZwIAeeff35QPhJH8+bNkz4vhBBFHZwQiBA7a7Y3u/Y/KNvjFfvtF2NWTbXjSogQQgghhMgbUk6IOPnkk22I5KRJk8yLL75oBQCyFii5gKFDh1o3A+sor/DDIP/xj3/Y+6lTp0YKCkA+BM4HXBOUeSB8IETMmDEj9pyWLVtmatWqFYwZJXLwJddvGxq1jR94KYQoutCdpSCMUZBBhCBAVgghhBBCpB4pJ0TgTMBZMG3aXy0UER22bdtmMx9atGhhxYPOnTubjz/+OMGRcOCBB1pBAQiNpPNGWKgAtqldu7ZZvXq1PQZuhz3lNNBCtHz5xC/ExYoVS8igOPjgg6044rszcGZQ2oEggTBRtmzZHHiFhBCpjlrECiGEEAUPZRQJUYSFiP79+5sXXnjBdOzY0UyYMMH07dvXuiAQGlxbTtwSCAOIFC7c0p/od+nSxQZWhkUI90cDIYKASoQKxodGjRqZzz//PEFocCLDFVdckRBG6ZwOtPF04gOiA+fj/yHzYR86ftSvXz/DOf397yn33yREgYT3I+VW69evN5UrVzann356wvuyoLCzRrtst4rFESFBQwghhMgZlFEkRM6ScjPc4cOH23tECECEcOUWdLtAcHAtPX1op+nKLAYPHhxZmsG+YSHAqZkuDNPhd9sgiPLnn39OeN6153R89dVXpk6dOsF4UaUZdPWIEiLS0tKs2OHAAaIWnkJkjaeeesq88sorCQIk684555yE91dBABFCZQdCCCFEwUEZRUIUcSEirmvGF198Ye8rVapkr3ZGwcSflpmIAmGcw2HRokX2SimuCZZxXrDf9u3bY8+JMb/55psM632xgU4elHD45xIWI/wMCZ/09PRMqaqicGM/sArQOKkEggOZMriiaMtLO1463YwYMcKuh4ImRgghhBCi4KGMIiGKqBAR1zXjxBNPtPf16tWLFSIeffRRc9ZZZ0U+5xwOixcvNm3btjUbNmwIrpx+++239v7MM880b7zxRoZ9yZsgoyKMLzIwlu+aaN26tZk7d25CjgXtPqNIlk8hCj/UD2LdQzXPKRiPcYsCOJNwQiBCcO9KnU499VRzyimnWEcE6ynDKohlGkIIIYQQQhQ2Uk6IwBkwbNgwW8bAxALRYMiQIaZu3br2+ZtvvtkGVUaxatUqU7p06djWnS4MEzFj//33t8tNmjSx2Q3wwQcfZMiHcC6MKCHCD8OsUqWKWb58efBcVBeOQw89NEuvhSgaYNejfjAz4Ui8PwYOHGgOP/zwpNsWpXAkMiF4H+KECOetsIwA8eCDD9rtECWEEEIIIYQQucvfU9FiTUbCyJEjTbVq1WzewwknnGAWLFiQoXNFGCYdOCoQCOJcBnSx6Nq1qy23QOjwO1nwHPgiBKIEbTe5khoWOPxadKzg//nPf5KeX5ky2QunE4UXRIPMCgeIEEcccUSun1Oq4BxSvAejcOvjnFRCCCGEEEKInOWvHpMpxJo1a6xI0KdPH1uOMXnyZLNu3Tp7RROSZTmQwfDaa68lLXW49NJLbYYEZRK4LkaNGhU4FcJdNhAeunXrFrQEjXNZuOfZPoxvBUdMEULkLGS+AJkQUbj1bjshhBBCCCFE7pJyQgSTff/myh169uxp7ynRwPngt9N0MNG47777zMSJE02rVq2sMyJsV7/44otN1apVTcmSJe06HBQ1atQIBAMXOMm+HJ+xaBF69tlnJz3vDz/80JQqVSpYZky/vacLtBRC5Cy06OT9SjBlWIRkGXcVz7OdEEIIIYQQIvdJOSFi2rRp1oWAqIDDoEePHjb4sWHDhvb5/v3728nFli1bMuyL9ZruFgTUffbZZxkcDpR8fPTRR1aQuO2226wYQZcOjkMJBuDGAPZlPULCI488kjAO6xnD5UzAuHHjTIUKFYJlAjDDkyJflPAJ17ULITIPIiLZD4TFcv/222+bzZs323t/vYIqhRBCCCGEyBtSbobL1UuCIV0HCtptuhBJFxyJEEAoZTjc77DDDrPhlrNnzzbHHntshlaftWvXNg888IAt+cA5ceCBB5pevXrZ5yjVcBkRwDFwXyBsEI7phwPilAgfe/Xq1QnChNvOJy4DIC0tLaG1IILJkUcemclXTAjh3j90x3BlXIATAjFTrTuFEEIIIYTIO1JOiFiyZImpWLFiIESQ34BYwHquaH755ZeRQgDQKpOMCdLz2SYcTocjgSBKQiVp39mpU6fACeELGy6U0jkVtm7dat55552k512iRImg+4YjHG7ZsmXLyH3T09NtNwQhxN6D2ECHDLpj8N7HVUU5hpwQQgghhBBC5C0pJ0Tceeed5vbbb7dZDTgUmEg89thj1iVBq00CJuOgrIJJx4oVKyKfx7Xw66+/milTpliBwHcw+GUTTjxYvHixvWdCE1VW4QsNZFKEW3aGHRFxpRnJwjWFEFkv0xBCCCFyEr5bUnbr4KLWypUrM71/rVq1rBPXzxLDqStEbsN86vvvv8/09jjMwy5vIYqEEPHMM8+YhQsX2gwGwAEB/PFmHaGRTzzxRIb9cC8wCaGswS+x8EHIePHFF23nDUQEhIsOHTrYK6g//vhj7DmdeuqpNgMijC80kGGBIyMZOD2EEEIIIURqwUUxvp/mFHwnHTZsWI6NJ0QciBCXXXZZluZiahMviqQQgSgALoxy6tSpgTvh6KOPtgF0ca6CKlWqmAkTJsSOTXlHvXr1zLvvvmvat29vsyfoovHpp5/a5ynToHQjDKUeo0ePTnreKIcuHJPHnE/Y6SB1UQghhBAi9RgwYECOOyKEyAtwOCAu+Hz33Xe2LHzgwIEJOXhueyFSXogYPHiwef31123gI6UWlC8MGTLEhkDGUbZs2SAfwgcnA6IBrTSj8hdYJoTStcisXr26LcVwgXWIBOXLl7fLXbt2tYLDJ598Ynbs2GEmT54cjIGzwhcQ2JduGH6duRsvjDsfHBmMJYQQQgghUh/KKFRKIVIBXN5RWXqZJVzGgSM9LnBfiAIrROBmoN1mixYt7OT+lltusQGROBMId4yrwSNL4eabbzajRo0yxxxzjPn888/NUUcdZZVo51jAvYAYcPDBB5uffvrJigCUWhBuCU6EACcaEFB5xx13mEGDBpkLL7zQdspAlFiwYEHCdqVKlbIlHv46BBJ/PISGcuXK2TaBwHF9RwWPeZ5zYiy2R4yJQu07hRBCCCGEENkVIS68qJf584/k5eKOzITlF993PzN2zGiJESLL5OsMd+LEiQnLCAvkJBA82a5du8h9EB0ohXDOBmeDO+6448yqVauC7RAemNwjWjgBgOexF4XdEj5nnXWWtdOR50AIJR05WPZxIoRj1qxZpnHjxtZB4R/fiRCASl68ePHATYFrgnMLjxWF2ncKIYQQQgghsgNOCESInTXbm137/5W3lx2K/faLMaum2nElRIis8ldvynxi2rRpplu3bnbCjzjw6quv2vW4GOK47rrrbOs95yxwXTJefvllO7l38DxiAIKCv22ZMmUCEQKBAteDK5Pgnno+umawH9052AbHRjIQIE444YSk2+DkKFmyZLCMCEGHDkecMOLad1arVi24SYQomBTbudUU27E5+7edW/P7RxFCCCGEEIWVJPOOfBlHFEny1RFB/gKpwH379jXdu3c3I0aMMK1bt7YdJqLA/fD1119HPkdpRqVKlYJl54L4888/g3V0wyAVtl+/frZ8AuGC7RyEBOG0OOWUU+xzffr0sVkScW01HfPnz7edM5JlRDAuGRSIIRwT4SEcfEmZRlR5htp3pgYHfDstv09BCCGEyFXU6k+I1EffWYUp6kJE586d7c3BBxuT+jieeuop62jYujXjFeNFixaZpk2bBstR3S2Y5GMdciIBIoUvVCCMvPPOO3ZftmF7hJLp06cn/TkIacGREc6I4Oafhyvx8HMios5TpCY7a7Qzuw4ok+1xcEToA0IIIURBRK3+hEh99J1VmKIuRAwfPtze6JoBlC4gKFStWjVy+5kzZ9rOGgRNkveAKk+QI0r7XXfdZfd1ROVA8EGYrM0m+5xzzjm2dSfgYCCE0ndaRIFrgq4d/nHdzUFYZTih1hchcFHEhVWK1IA/6LtK/NV5RQghhCiMqNWfELkL5dx72wo2qg1sZDeXnOrepy6AIlWFiCpVqtgPKBJcN27caJo1a2ZOP/1088UXX5gGDRpk2J7yBgIg/fIMyhYouSDQ8fzzz88QVumLAQRK+rkMYdiWrh1vvPGGXeZ8wHdNREE+xJNPPplw3LAbglwHzjMOQjqFEEIIIQoyXPyJczggQsj9IJKRUzlYhTlP67HHHjMLFy7MkbFwdg8bNizBxU2XCwImcwrGY1whUq5rxqeffmrefPNN06FDB9sqc/LkyTbEMkqIgLiMiOOPP95UqFDBPsZRsXbt2gyOiDPPPNO8++67wYflmjVrEpwLNWvWtMGZbdq0scucF0GUURkRfBDjyNh3333NscceG4zhxA86ZHCPiOHWuZIQll02hcuKyE6LTv1RF0IIIYQQBR3Z+PfMgAEDctQR4UNnC1pt+i5tAvpdN0LHhg0bzMiRI22OX9gZjsubsH8HIoQ6ZoiULM0ARAjglx1++umnYJvevXvbUgwEAX7xyXGga4YPk3rqFZ1Igesh7IYgWwJXwvXXXx/YCMM4BwTiCM4MhIivvvoqUPnoWIF4AYgQUK9evYQx3DERL1w3DpgwYULwnB9U6bZBOOHnQggJsyeRQn/UhRBCCCFEQUfZBHuGUorIcoocAtHAFw6WLVtmS6uiQIwIo9wXUSiECCbk5Docd9xxVmBAwXvllVdMly5dgm1QBDt27BgIAQRHkqXADcGCbAUEBMKTfv7550CIwJHgl1Q4NwJKIbA/63y3A1kP0L9/f7NgwQIrcFCq8fnnn9v1YbUQXBI0zggHjxEYUBihdOnSNt8iLC5wo1MGsP3s2bOtayMMZSdXXHFFsLxt27aEFp76oy6EEEIUTShvDWdQhXEXX6IuwoTR1U2RmxSGPK3C5kSOyn3Z0/ZCpLwQQWYCzoIXXnjBOhAocejZs6cVI0488UT7wYoViXIKJt+UbACTdzeBR0yYM2eOuf32280FF1wQjB3OdWD/559/PrA6uf19yKlwPPvss7bco06dOtbNEDUmcGzcDH67Trbz3RhYmhAxfJdGuGMHjo0ooQPS09NjlcrC8kddCFF4yMmJkSZFQiR/r114US/z5x9/XfjYE8m+S/j13li39b4TIprCdtEuWe6LEIVWiJg7d27gdoCPP/44cCQsXbrUPPzww9Y1QDcNHApM+ONAhAj3tcbRwP6uTIL2n+E0Zx8EEAQIdxznOuCD3rkonICB68G5KZ5++umEYMpwNkVcQKYvTPhCRhgCOYUQ2Yf32ZdffmndVAcffLANsMVVJQruxEiTIiHiQfDjvbazZnuza//sh8UV++0XG2LHuHrPCRGNnMhCFAIhgmyI8KQdF4Kz/OBecPkRZDFQxoGY8MQTT2QY68477zSnnXZawiSfK2k4IYDjcOUtWXcKRAa2efvtt+2y29c5JXwXhRMhGHfWrFkZJjO+yEDgC0Ga4Z/VX+ZDnwwMIUTugKOK7ja+84j3XL9+/Uy7du3y9dwKEzk5MdKkSIjMwXtNzkgh8gY5kYUoBELEzTffbDp37myFByb9lGgQSjlp0iQ7SecxwZHONtSwYUNbKhEFibL+BIP9XWaEnwFB+OVbb70VOUb58uXtNk4IccJAlFshXGYRxhcZeEyr0mRjQMuWLSPPSwiRfRHijjvusHk0t912m02RRugcN26cXT9o0CCJETmMJkZCCCGEEKJAChE4DXr16mUdA7gXsEkjQpx00kn2eco2LrroIitIOKhhGjhwoGnevLnp3r27DbikBANBw3WcCAdVOij5IAzSL7HwOeWUU8zmzZvN1q1/hceULVvW3pcqVSrDthzTD8CklCSZ0OCHS8bhjidEYSU/Ap54n+KEQIS45557gta5tAhm+dZbb7UdfFq3bq0yDSGEEEIIIQq7EDFixIikz/sdMxwIDtwcTByYWBAI6a5oMqHftGmT7VbhAtPYjiBMcBORMGPHjrVuCPIf2IYuFpSGMEFxUFfuSjacEIGTwsG+5557rnnvvfcS2pD6XTVwXVBqgsDi2oAKURTIj1pIMiFwS+GECL/3WebvAiIl2x111FFFLi1bCCGEEEKIIiVEJMPvmOHTo0cPG0pJeKVzPzCZOP/8860gwGOX6UBIJMsESfpiQdTkH/cCTolGjRqZLVu22HaZixcvtkKIf5WU47EtNwclHPvtt18gTpAxwTF8RwTbuGVKRhAh/EkR+3P8KAjcFKIwkB8BT04QpBwjCrfeFw6ToWApIYQQQgghskeBneFSqhHVJQMR4vPPPw/cCIgEOCtcqQUuCFdawaTfCQEkubNtuNWmw22LaNG1a1dz1VVXWfECIeSBBx4ItnMdNHywfA8bNsw+ZuyotnV+aQbP+0IGVK1aNfa1SEtLs8KIA0dGZko9hCho5EfAEy4m57CiHCOMa+nrttsTSssWQgghhBAie0TXKBRgcCv4QgIlGHTLuOWWW8zy5csDESIKhIZXX3019nlyJXBAMDFBKOjbt69tHYoLIhnVqlWzWRVhypQpE2RM4HjwHRCcC8dwY4c7avikp6fbY7ibRAghMg/ZMziSCKb02+wCy6yntIvtsiKmZPuWA2KGEEIIIYQQqUjKCRHLli2LXH/iiSdGOhF86tata4MlXblDOJiO+nAmJG+++aZ9DgFg1KhR1vGQjMmTJwelH4gLblwnirgQTb/EgsdMglyoJuLH+vXrI8f/73//m/T4Qoh4eD/SonPmzJk2mPKrr76yXXa4Z5n1V155pYIqhRBCCCGEyCNSTohASMAVQH6DWyZg8pxzzjE1a9a06+ImFOQ2MOlwk/twicaaNWvsPV07GANRgaDKuNpyB5buEiVKBM6G8LiubMR3VnD8cHkG4ZhCiJyHIFtadK5atcoGU3bp0sXeIwCqdacQQgghhBB5S8oJEXSkoByDbhZuQk9uBF0qypUrZ5o1axaZAeFKJI4//nhbIhElVrh1lGf8/vvvtlVonTp1giDKKBgLN0ayQEmXSxE+pl+OgUhBsr8QIndAbKAM4+GHH7YdNLinU45ECCGEEEIIIfKWlMyIwNmwefNmu/zdd9/Ze0oo4J133gncCWEXQvv27U3t2rXtuiixwmUvvP/++/b+2GOPtfdh54LP4Ycfbvbff3/boSOM248SDDpp/PHHH5HPg8ovhMh9EAMpwTrhhBPsvcoxhBBCCCGEyHsKbNeMOM444wxToUIF07x5c9O9e3dTvXp1W1LBYxg9erTZsWNH0LbTTfZZ/uCDD8xjjz1mDjnkEJvpsGLFigQB4YYbbkg4lnMouFahOCMIpaT9psMJIq78AmcEbTgRHRA7nMDAGL7YwFhsy7kC50qgXlGl2G+/FKhxhBBCCCGEEELkDiknRCAsTJ8+3Tz99NN2ecOGDTYbYv78+bbLxU033WTXu3R850Kg+wWlEG+88YYt5eAWxu2Dw4Fbjx497LILwaRcg5sPrTRZh1PDjcExESwQHngeEE/8xH5ECrIlCM1zJRotW7aM/JmTlX2kOrRpLb7vfsasmppjYzIe4wohhBBCCCGEKHik3Ax34cKFZtq0acEyIgBtO8uWLWuD5+LA+cDk1AVSRvHcc8+Zpk2bWpcFlu0pU6aY3r17m3333dc+T14ExwpD+r4TPBAbogSLs846ywwYMCBYRqRARHHgonDdNcKkpaWZK664IlhG3CgsLTxxp4wdM3qPHU8owbn33nvNwIEDbTlMMvh/ZlwhhBBCCCGEEAWPlBMicD4wydy4caN1EiAYkPlANoQTCSi7+OmnnxIcCDgSPvzww6SBkC+//LKpX7++ufPOO23w5cqVK20o5uDBg+3zUSIEvPTSSwnBk4RiOicEIGRQduFvE+boo4+OfY42okzCCyv8f2ZWOECEIERUCFG0KbZza4EaRwghhBBCFGIhgu4Y27dvD5YRGxALKL0I5zb44FCoW7du4G5w2RGUPfz555/2MW06ESFwOFC6QXnG+eefbztxxMF4Q4YMMS+++GKwzhchgIDMPXH55ZfHPqcgSyGESOSAb//PGSeEEEIIIVKLlBMifBECcBlMnDjRhlSedNJJsfu5DhiuW4ZzJzgRAtatW2fvyXfAabFs2TKb2+DyH6I45ZRT7L3fqSOML5LEIbFBCCEyz84a7cyuA8rkiCNCooYQQgghRN6Scu07b7/9dlv64DpMOAGAkgocDVHBjrgf+vTpYztUHH/88bEt+0aOHBm4LnA60NkCASPcTcOHbRA11q9fH7vN4sWLM7TuDOPCN4UQQuwZRIhdJcpn/5YDYoYQQgghhCjEQgRBk4888og58cQTzb/+9a8EhwOlFwgOZEH4pRfuMetnzJhh1q5dG9tRwXWtQLSgHSd5BIRgEpAZB205yY7wwxb9YwOdMSj3CK/3WbRoUSZfBSGEEEIIIYQQInVJKSFi3rx5tvsFLTivv/56u+63336z9yeffHLQEtMvvaAbBaUR5Dg4sQJnRBSUduBcoFsGtG3b1t4790VcNwe/Q0axYsVseGbp0qUTtiMkM+zEYBu3jpITxA8hhBBCCCGEEKIwk2UhghaZ5DHcfffd5uabbzYPPfSQnbg7QSA3OeGEE2wry8MOO8wKDI4mTZqYSZMm2Uk9E3rfecDkHkcCHTPozMB+vnDgiwOICvwsrrzDuS5uvfXW2HNCuEB4QIBw4ZmsQzAJ48QJtnXn6hwdyYgqNxFCCCGEEEIIIQq1EDFu3DhzzDHHmFq1apkbb7zRTJgwwUyfPt08++yzNrCRSX6/fv3sZD63IBuCtpx0tPDdA5ROPP744/YxAkC4TaYLgvz555/Ngw8+mPCcL1ogKDD2ihUr7PLMmTPtfTj/ge18+JkbN26c9NxxVbjQSsQKBAi/vSg/my+u+CC+UJbibkuWLEl6LCGEEEIIIYQQIqWFiKOOOso8+uijpnfv3nbSvWHDBlsm8emnn9pJMZP/N998006sjz76aPPKK6/k2gkjehx55JGBu6BMmTI2WLJ169aB2BDHc889Z9q3bx+4F8B3JOBkIBeiS5cudvnHH3+09zfddFPCOH6nDahUqZINyvQJZ1Rwzps2bYo9N0SeONLT0021atWCG2MJIYQQQgghhBCFVoi4//77zezZs63jgYlwVOeIDh06mKeeesp88803pmbNmia3ePjhhwPxA7Zu3WoFBNwZGzduTLrvFVdcYbts+M4D3z2x//77m44dO9rSEyDYEijtYF+ejwI3RLhFpz8uz/EahVt0+mUhBHDGodaeQgghhBBCCCGKlBBBEGRmKVeunGnevLnJLeh8EcVZZ51lVq1aFSxHdajADfHRRx+ZXr16ReYuEFbpgiYRCSj3GDVqlOnWrZsZM2aMzcEIj1u1alV7/8UXX9j7qHHZZuXKlRkEBd+NkayjhhBCCCGEEEIIUVjIcgoibSoJfly9erWdPFOSwNX8cJeI3OKOO+4wL7/8sg3NRBjA3cDkn8k+4Y+OcE4E23C+c+fONcOHD48c++2337auipEjR5ry5cubLVu22JKPpk2bBi6J8LhHHHFE4JoAxAZEDMpU3LaUjnAL7+vD80JkFn73yTPxcfksUTktBLzGOXqEEEIIIYQQosAKEWPHjjVXXXVVho4QBx10kC3LOO+880xuQzjmunXrgmUXWnnllVeat956K2FbhAc3+XeOAzIs4kDMqFixov35yIc4/vjjTZ06dczkyZNjRQRKVoCwTufICHfCYGJISQtui3C+hMPPrRBiTyBCXHbZZZHP3XvvvRnWPfPMM4FoloxiO7fmyPnl1DhCCCGEEEKIIixEzJ8/3/Tp08f07NnTXHvttaZevXp2ck5ewyOPPGIuuugiu45WmrlJw4YNzT333GNatGhhH1evXt26MwiZ5ObjiwcIALNmzbLlGUBmg2vjiQiAg4Ggy6+++sq6LBAunMPC727hwAmCK2PHjh1mwYIF5sADD8ywDeIEggYuEud68IUIXBqcI8IFbUOvvvrqyJ9Z7TtFlMMBcSEr22eGA76dlo2zEkIIIYQQQog9k+kZ7mOPPWbOOOMMm5ng06xZM1u2QGnCsGHDbFlDbkIHD8IwCZ0EFxJJ+YSfwUCpCGKCEwFg/PjxVryAVq1amS+//NK6H5yDAbt7gwYNzIABA8x9991nOnfubNe7Y/nQRtRBK1MXgMk9x+Z51yUDsQGRgxaeZEW48+Z47thff/117M9M+07CMh3btm1T54wiDmUWmXE4ZJWdNdqZXQeUyRFHhEQNIYQQQgghRLaECEIin3zyydjnmSjTVSO3oSyjR48ewSR/2bJlQaAmpQ8O3AxhJ8Mnn3wSdP3AgRAGUWDo0KHW8k4JCsIBROVf+AJHqVKlTP369c0777xjS0VcuYjPDz/8YMtCnBDh51lAstaetO+MstuLrFHst18KxBgFGUSIXSXK5/dpCCGEEEIIIQoxmRYi1q9fn/QKLM/52Q25Rd++fW0HCwetO2HcuHGmZcuWwfqocorly5dbN0Ey6L7h3A6UaWTG1k5ZBmUriBh72i6OcO6Gj9p3Zg8yTIrvu58xq6bmyHiMxZhCCCHEnvBLNKNIFjQchs8eyj6FEEKIIiNEUHqRLHWfzAVKDXIbXAW0yrz//vvNSy+9ZD+UuceRgHOB0ogoRwKQz0BZRzjI0oGjgucffvhhu+xEC7ZjbCcWtGvXzkyb9n+2c7IfatWqlTBWeHzcFeEvD/42uDEQeypXrpyt10dkhNd97JjRe/wiiOtk4MCBGbJGwuiLoBBCiMyKEBde1Mv8+cdfmVTJyIzzESGczzN9BgkhhEh1spSCOGnSpNgrwVu35k1KPl0zCMt0MLk85ZRTzMUXX2zzK3BmLFy4MFYs6dChQ6QI4YSKDRs2ZHBA8DPjxCCUE3wRAii3CLdS9MdHqChbtqx1ZCSDDhxnnnlm0m3E3sGXtsx8cUOEyI3sBSGEKGogsJPFhMvw4IMPNo0bN7btrYuSm4BzR4TYWbO92bX/QdkvDVw11Y4pIUIIIUSREiKY7CfDtcjMTT788EPb5YIASRwLhGMSKukEEkIckwkRCARxrTjBddJwuQ6ONWvWRG6Pi4LgSVp8xkGZCF/IFi1alPRn848nhBBCpCoI9uRK+Z9rOAPJksJVWNTcBIgQyt8RQggh9kKIiMpcyA/ee++9hLIJnArw9NNP25BJ3AeAWMFjVy6CSMLP4EIicVW88sorZu3atYFDonz58rYdKNkQ7IsDhIBLXBThUgyXTYGLAiFk+PDhQatNsiD8sEwyHhgHt4XbpkKFCvZLlhNF1KJTCCFEYYDPyzvuuMMcd9xx5rbbbgvaXZPlxPpBgwZlSoyQm0AIIYQovBSa2a8TIByIAH5mhXNrfP7551YoIPBy8+bNdp0TA5yogRhRsWJFK1I4wcMFWCIYOBGCMRE8sJvSOcOJDlHBkytWrAiyK9gGUYL9najBOtelI4xECiGEEKkA7j+cEIgQ99xzj/2MBFpjs3zrrbda4b5169aZLtOQm0AIIYQofPz1DSET0CaTSbwP5QgdO3Y0xxxzjLnvvvtMXjB16lRz6qmnmkqVKtnlm266yQoJvXv3Dtp4unabfqkIwgTZD19//bUVKLgq4r4gOdyXIr4wtWrVygZftmnTxpZl8OXKjePguFzVYT8EC3dOUQICz/klIeyDAwNHhcPv+uGTlpZmz8HdlixZslevnRBCCJGbkAlBOUbPnj0zfMayzHqEeLYTQgghRNEl00LEjTfeaN55551gGZtlt27d7BV9rnwMHjw4CHPMTV5++WUriLhwzNGjR5v3338/eJ6OGn63Cx8Ek02bNlkxAQdCuNzED5ykPAPxgJBJV3YB4X0QRngtWP/zzz9b8cEJIK7tJhkSCCQ+CBuciztHum7EdcxIT0831apVC27kYAghhBAFDecepBwjCrfebSeEEEKIokmmPf9z5861V+Yd1HrSXYAcBaA84bHHHjPXXHONyU0oeyCYcseOHXaZcofTTjvNLFiwwHY8ePDBB+16JuzhgElyIWbNmmXLMurWrWvdET44FBzlypWzKdw4LZKFcCJAnHPOObbcA6cFV3zCAshJJ51kgzJ5DgGCFqFbtmxJSALv1KlT7DGcoCGEEEIUZOiOAQj0uAvDsN7fTgghROGDknT39x7+85//2C6DmYGLs8yrfAG7du3auXKeIkWECPIUqlatGixPmTLFOiIcBDpef/31JrfZuHGjueWWW0yLFi1Mw4YN7ZcZJvQ4E+ik4RwLUV0uEEsQLNjmm2++yfA8gZeUelCSMWPGDDseP9eeWpPi0nCvRVSoZ/fu3e29s6muWrXK3vttRP03qxBCCJGK8DlL3hEXK/yMCPf5yHrchmwnhBCicMLF6bguhlmlSZMmZtiwYTkylkhRIYIJP3WdOA34MoFD4rrrrgueJ3AxWVvMnOLVV1+1KpvLViBUEoUNNwIuA+cu+OCDDzLs+9prr9nyB74YRQkGjLF48WKbD8Hz3Hr16pX0l59SDBwO4VpYn/nz55sLL7zQbuu3B/Vfr3nz5pmCjE0cLwBjCJEdcCRRm44tnL9pTIYyG5gnhNgzvJ9o0Ul3DIIpyYTwu2bMnDnTds3Q+y61oMuX7+IMg4PUv08GrlZ1LhGicDNgwIAcdUSIIi5E4Ay4++67bRo2bS+ZpLPOQYAi3SZymxEjRiSUf/ClBnBEuMDKKBHCtf5EwODcfTeCg/KJ5s2bW7cHz5133nlWYPC7YPDlyQVXgnOJuFKRKJwDItkXL/IiyJggk6IgwRcGeq/T9iwnYCzGFCI/Wgry94sgPQdXbpk0ZaaVoBAic/B+Qmzg/da/f/9gPU6IzLbuFAVLhLjwol62leqeuPfeezP1PWDsmNESI4QoxFBKoXIKkWNCBB8uZB2Qw8CE+tFHH7WlCw5yF44//niT25BLQfkEzgy+4JQpU8Zs377dhmXuv//+dhvOK0oYwI3gyiw4V7p++PCGQQhw3S7ceK6WFfEi7KSgE4fLlIgrr5gzZ469d/tS+sFjjuOfJxOkgiZE8EWBLwx7uhLC78fAgQPt70cydCVE5JcIwRVagnVvu+22hCu0rNfkSIichfcTLTrlQEp9+PxHhNhZs71tpZptZ+SqqXZMfRcQQoiiTaaFCNwOhDvSTaJChQoZOjzwRd7PkMgtOnfubG+AEMGEnraXlE889dRT9gonggMT/LDrwbUNg7AIAeRG8DzuDr4snX322Xa9m6Dw81G+gXvB4YQEzoFylXr16tlxihcvbs8N98T69evtOblyEgI2wS/TSIbfBjQ/4MtCZr4wIEIgFAlRkOA9yJVZRAi/Zp0gPZaxj9MZh0mTJklC5By8n4466qj8Pg2RQyBC7Crxf6HeQgghRJ6073QTYgJDotpMsh5XQG6D+4HAyR49egR5EORTcMUF4YH1lDjwBcgXIXiOVqN+mUW4GwbiwfPPP28n01y5HzVqlF3PVRx+dgIwfRECyKsAtmc8F4KJ6OCXcKxevTpwRHBuURMeRJQo6FbCsd0NoUQIkTm4IovbCCEynOXCshMo2U4IIYQQQgiR+2T6Urvr/BCGCTgT93/84x/WKZHbXHbZZWb8+PEJ4ZVAiYazYIMvAgCiBJkWF1xwQcI6H5cf0bVrVytsOCcCAgNlG1GdNhBGcEUsX77cjheVPeFagzohInxuLp8iriwjPT09U3WXQoiM8F5OFnbk1rvthBBCCCGEEAXEEYHgEHUjc+Hf//63qVu3ru04kdt88cUXdrLvRIL69eubF1980bz55puB8yAOrn76KaxhEAjogDFp0qQgtdXRrFmzhKup7jH7fPTRR4HI4IsQvrDAeUe5INzPQZkGJRxR/Pe//409ZyFEclzGS1yGi1vvthNCCCGEEEIUEEfEc889F/sck/BLL73U3Hzzzebtt982uYlzJbjJObkVlGNwfnTNSNa9AhHCOSaSbTNr1iwrNDzxxBNWILjhhhsytJzxQyvpsoEQE4YSEcenn35qMyZcB40okYFtzj333KTnJ4TIGpRWUfZEMKWfEeHex6wnzZ/thBBCCCGEEAUsIyJ2kGLFzD//+U8zb948k9vcd9995uijjzYlS5a0y8ccc4wVJ1zrzqiyBwelI6VLl7ZiA+4EPyOCDhm4E1q1amXLKNiGunLKOdiWGnJffHD7kjvBFVW6eCSD/Rs1apRhfx+yL4QQOQvvX1p00uqXYEoCd+lnzT3LrL/yyisVVJlikL5fbMfm7N9I8dfPIIQQQgiRp+RYOwZaZvLlPrcZMWKE7TrhnAQEN7Zp08ZMnz7ddqxAUCC3IQoEA/aLOk+6YVx11VVWhOjTp499XKVKFStE4GLw3Q1+CQZBmZRUuBadycQa1+rT39/HD9LMCjn1JVRfZkVhhc43dPahewbddhw4IdS6M7WgJLD4vvvZFoA5BeMxbl5RGH4GIYQQQogCIUR8+OGHedK6kTpuf9KP6MAN4YCsBt9pEA6ORKRAMKFVH1dAsWvTBQMXBQ6It956y9x2221W1IALL7ww2C8sXnD1lH22bdtmRYo6deokiA44NnBAzJgxI1iH2OGDA6NixYpBNkRcWGUcuDv0ZVaIzIHYQItOumMQTMnfEsox5ITIHYrt3JorY9BKeOyY0eaXX5ILp999950N+R04cKBtLZwM/uZlpkVxTlEYfgYhhBBCiDwRIpikR8EXKUoynn32WXvLCoMHDzavv/66La044IADbFnEkCFDIvMWHEzs2Y82m+vWrbMlEbTQdKIBmQ6uZIIx3Re9UqVK2XWEUTp3A6UXTrhAaEDQwHGBOMD6Sy65xD5Hu9L27dubjz/+2E5emMQgcLg8ClwRfktTykT4uZwIAWzvOx6aN29uFi1alBBQ2bRp08if2QVahuE89WVWiMyD6HDUUUfl92kUCQ74NnkeT3bgb1Rm/07xNy8vRPKi+DMIIYQQQuS6EHHGGWdErmeCj3CACEFoZFaYOnWqtUm3aNHClkzccsstplOnTrbcAudCFJRKfPbZZ8EyIgSwPR0zEAWAe/cYcC7gbODL3J133hms9x0TCAzkNHDlFMs2k/dRo0bZ55zQ4Fr8MaFp2LCh7YZB20+CKB0jR47M4MgoXry4dWA4XJ4GIoMrM6FFaBRpaWnmiiuuSPhZjjzySPtYX2aFEAWRnTXamV0H/NVWOTuOiNwUNIQQQgghRAEPqySoMerG1fjPP/88yyIEnH766eahhx4yxx13nGnbtq358ccfzffffx8beoko4IsQ/lV82nfijnCT/f322y/DdrgZuPkCRRicEYgjCAR0z8DdgGvh5ZdfTtgO8QERwgkDOBzC4MBwrFmzxpx88skZtvEDMGmFGkV6err92dzNiRBCCFFQQYTYVaJ89m7ZFDKEEEIIIUQhz4jYG0irJzeByTjCwZYtWxJcB5kFIYDWl7gUCJuk5IISDFp7OniuRo0apnPnzubf//63LevwRQDHv/71L5umj7ixbNkyO94777wTdOMglyEqVBJhwkEeBGO7MhH3M/n5FZSNELrpnwMiTBR+i08hhMguCrgVQgghhBBFVojYuHGjLcegNAOXgnMM+LkJYfxyByb81HuTtUB7TNZzD74IAQgJixcvtiIC7oSo9pnQsmXLQBRBXOjbt6/ZvHlzIEREiRAc98EHHwyWowQOhIc77rgjWEaECBPX7UMIIXICdWsQQgghhBCmqAsREydODB5ffvnlwWSfjhNx+JkOTPhJwKcEAtcA7TkREMiCwI0QbpGJcEGOBO4Id6ww48ePN+eee64VNMidoDTD5UTEQRkH5SnJYKxkLT7jhBEhhMgp1K1BCCGEEEKYoi5EAG6GZs2aWSHBBVSyHEVUNw1cC9z4MkxJBoTbZPqTfZwScSIE8OW7QoUK1hXB7a677rIlHcngvMm3SAZhla7LRhSIJn6YpRBC5AYKuBVCCCFEKkOzAi5A+xl/K1euzPT+tWrVMgceeGCwzFwvrmmAKKRCBJPvJ5980gZIcn/jjTfaK3E4F6Ig1DKOMmXKZBAHmPjPnTvX7odYwS+Z/0uKOMB617mC4/K4evXqNhRy+fLldly/VIRz5ZedUhIcGYgbtNH0Sy3ouEE5B8870YMv9H7WA6LDpk2bEkSRxo0bZ6l9pxBCCCGEEEIUJR577DGzcOHCHBuvSZMmZtiwYTk2nsgcezXDZYKNEkXGQzgPgdaXmYXuFJRC0PGClpeUU+CGIG9hxIgRkfsMHz7ctgol54Hj0z6UsEqULd9R4NwHrVq1smID5RsIEWXLlrXr/fIMRAdUNX6Wpk2bmgYNGpg+ffqY22+/3Vx88cVm7NixdjtEB0In2df93IgpnLNfduFyKuJEFAQQHBRVqlSx5+bcFK5FaFbadwohhBBCCCFEUWHAgAE57ogQKSBE0NLyggsusM6FcAYDE/VkZQ9RogJ06NAhWLd27Vo7UXeQ0UCuwyeffBLss2TJksBdQMAjTgZKM6J+iVyrTgQLJvrO3cB5ulwG/xf5nHPOsfcIDqhjZ555pg3UBPfz+j8jYzRq1MiWmCTjsMMOC5webn9+Vt/1QKBlXPtOSkaEEEIIIYQQoihDGYVKKYqgEMGV+aOPPtq8++67tgQhOyGLlGLQIvOzzz6zLocZM2aYIUOGJHSXQCTo2LGjfUxeA04E3A3cc0McwFlAOUUyCLFELChXrlywLiykwLHHHmuFjwceeMCWSiCShH/R/RaejIHb4YMPPkja4QMHg3sc1VWDXIo41L5TCCGEEEIIIQp+DoUyKHJJiCA34dVXX82RF5OSjKVLl9pSB5wP9evXt6Uabdq0sc/jvMCBgegBP//8sy3JwOVAiQXiAgIEIZX/+Mc/zKpVq+x2OAui2mNSukGpBucfBaFsuCamTJlil3F93HDDDUGIpiPcwpPSjKjXwwkP5EwQfBl2i/hCBQKIEEIIIYQQQojCk0OhDIocEiJatmxpFaKcECK++eab4Io/osKnn35qb88995wVJtatW2fFiVNPPdWWZjz88MO2TSYBlGwP5ES88MIL1nHwyiuvBMGQ5DSEW9RRnoGI4AsAPrgzUL4YjzIK9ke04FxwYbgyj6j9ojp6OMi+oJOHOyaiBGP550BwpRBCCCGEEEKI1M2hUAZFLgkR/Kdcf/311oVANoKf55Cs80MUUWKAAxGA/2wcD36GBGLC008/bVq0aGEaNmxoy0OuueYa06lTJ5vr4AscYciWoDQj7riID5MnT7aBlbgq+IVr3bq1eeutt6wrIkqIwEHx+OOPW4EmDkSICRMmJAgT4AsiCDDkV8QFVgohhBBCCCGEyH2UQ1EAhYizzjrL3vft2zdY5ybUWQ2rTAbhk1999ZXtYEF5hGPixIkJ23Xt2tU8+uijZt68eba1Juy///72XMLlGQgoruwiTohAEKCVKIIL49WpU8dacygLiQI3x8yZMxO6hSBaID6414Jx2YZ7tw6VDGHDz3+YPXu2DccUQgghxF8U27m1QIwhhBBCiHwUInyLSm6DGOF3loBp06aZoUOHWuHBdz8gGhBaCYgADr9N59atW5OWQCAKUNKBWIGQgeMC2rdvb8WIKBAUcIf4LgvXOpTncFVw/O+//96WdzhxhPUIE4gmnC/HY5wo6KghhBBCFEUO+HZafp+CEEIIIXKYLM9wyV/IT8aOHWu7azCRh48//tjUrFnTdrKoVq2azV9wpQ/gRAiCKinpSGaxQThAHCB8ks4WdPWAuGwIoMNGxYoVE5walKtwPi7HAhAbypcvb8M2nbjA8fzuG3GkpaXZbiWObdu22UwMIYQQorCzs0Y7s+uAMtl2REjQEEIIIVJMiCAjoXPnznaCzeNknHbaaSY3ITfCL5PAxUC3DLpm0EIToYTwyDB0pSDoskePHlbMiAJxA8Fi/vz5dvnHH3+09/6k/5BDDrHigV/2gRDh51L8+eefCSIEIELQotMJEZx3uPsGx44iPT3d3HvvvXt4ZYQQQojCByLErhLl8/s0hBBCCJHXQsQZZ5xhywaYcPM4jpzMiIiDdp9RMKkn4JKOHlEQFolLYU+lJeeff77NhfCFCN8R4db54MggZJJuHnFQ3jF16tSkx44LvPRzJIQQQgghhBBCiFSmWGY2okwBEcI9jrvltggB5DYcf/zx1l0Ahx12mL2/5JJLbG4E54EgEgWujoEDB9pcBko4wtuRJ0H3jdGjRwfhkRDuZEHnDp+OHTsmbd8JF154YYZ2okApiBtTHTOEEEIIIYQQQhR2MiVEFCRwH1BiQU4CuIBHMhZ4jJjA43BbUUB8QMB48803g+18EFIIs6SMomTJkmbjxo22dWhYsHDHdnTp0iUQRuJA/EAkCePW+b1mhRBCCCGEEEKIIl2a8eKLL9pshcxABgIdIlq3bm1yg+HDhycsu7KJxYsX2xwI58ogpyGMK9sg58IPtPT58ssvrfhABw5CMS+++GJTrly52PMhdPL11183xxxzTNLzJr+CrhlxIHrwsyTbRgghhBCph1qQClF4KPbbLwVqHCEKtRDB5H/QoEGmT58+plu3bqZ+/foJz1NywKSdEMgPP/zQjBgxIrfO14oIuBnIcTjiiCNsaQOuAtpu+mGPlHAgTlDyQLAkOQt0uNi+fbv9eZzLASHBZTDgWmjSpIl1RDhHxd13320+/fTThHMoUaJE0KaTfWn3edlllyVsw/i+44LuHmXKlDE//fRT0LaT83atRtn2q6++MkcddVSuvXZCCCGEyHvUsUOI1Oeggw4yxffdz5hVyTPfsgLjMa4QRZFMCRGELCIAPPbYY+bmm2+2E3G6RzCZpoMFJRFM3nv37m0n/zyXW5DHgLPhtttus8sIDYgLhFA2b9482I7zAJwPTmjgXJcsWWIFgFq1atkOHH4Q5Lhx4+zPAd99950599xzbUtQRBYHPzv78EcDIQIY0+VJOBAWnNjB482bNyeUizAG4ZmcnxMsXJlJGMQSIYQQQqQmakEqROrD/GbsmNGRmW8+zCHodkcuHd38ksF8IjfnTUIUZDI9w6UtJzcm1DgEeJPhNGDizlV8bi54MbMMHjzYljXQ+vKAAw4wrVq1MkOGDEka/IjzYPz48cGy+2OAKMCbGaHACQThjhdM+g8++GD7GBEizOWXX27atGljcyIQKxBaXLaEPwYiAqUUDspAyJ0I4zsiOC9XDsLY7MNrmRnS0tLMFVdckZBR4bcUFUIIIaJQSUDBQC1IhSgcIBpkVjhAhMC9LYSIJsuX2hEekrXwzAo4Lfr3729atGhhJ/e33HKL7VqBw8CVP4SZPn16wjKuA/Irrr76aruMY+PWW2+N3BcBIKoVJkIDIgFlE5SV0MITMaNSpUr2+f/85z/Btm5/v/SCAM1p05Jfpahevbod38G+CDe4JJxA4ZeW+KSnp1tlVQghhMgKuoIuhBBCiIJIvnr+J06cmLA8atQo2yaUNpzt2rWL3Gft2rUJy0zocUigOLZs2dI6LOIgCHLZsmUJ68ibwI2BGIBQgVOCzAeEBtwZp5xyinVI7EnxRFD4+uuvY7epXbt2gjsDOJ4fmhnncogST4QQQog9oZIAIYQQQhREClT4gCuzcOUTWQHx4M4774zNWXCOg1dffTVhHV02tm79P9spHTJwZOCyQOCgDCKq5ITgSTIngFafLnQyDsSEcLvQMDgv/DIQIYQQIjuoJEDkFH/7Ze1fZTq7/2f2+eP/nKJ7Yve+Bxqzz9/s433+2J6LZyiEECKVKDBCBO6Aa665xrb9pONFHORH0P2iZ8+eZuTIkTa34r333gtEjAoVKpj169dH7kuoJe1F4zpbuFDIoUOHmvPOO88KEIgRJ598crANuRGIDk6EwGXx66+/JhUZcF2EBRLX7cOHbcqWLRs7jhBCCCFEXkL+VrFifzP7r5ufI+MxlroECCGEKDBCBFkRdLoIt8oMs27dOjvpf+edd+wyQZe4DRAYKKsgRDMO3A8u9wGceEBZBeGRflcLWmkiVJBZgYDhiHM+MLaP3zEjSqQIixBCCCFEYYLPxS+//NLmI+F0bNy4sRXmRWpBMN+TTz4RXMjJStg2+C3RgW5k6hIghBBir4UI8g5omUkbzOy2l7zqqqussEDgY9WqVZNuy4cZ3Tpc8CPOhHvuuScIqAznMPiuB1p9kkHhwM3A9k4UYFsXGIkQwfa9evUykydPDvYhT8J1C+GDmLHZZ+nSpcE2lFfgnGBcSju494MoeZ51iCJs53Ir4sIqhRBCiFSCz/Mnn3wywQ3IZ1y/fv1iM6BEwaVevXr2JoQQQuQUWeu3+f9zDC655BJz4IEHmgYNGpjvv//erh8wYIC5//77szQWk3hEiDfeeMN8/PHHpkaNGnvcx11Rca01EUFch4vKlStbYcEXRnw3Au6Gtm3bBstOtHBuBn624447zixcuDD4IkUJha/cI0KAuxrAlQH28cGhQbkGIoSDIE13XuyDgEMJiRMhECfiyjKyK/QIIYQQeQWfnXfccYftKPXEE0/Y8knuWWb9nrpMCSGEEKLwk2UhgvaYTNQ/+eSTQAyAE0880bz00ktZLscYO3aseeGFF6z7gCsn3NxkP/akixUz3bp1s4/Zlu4Wl156qZ3gIwKEyyQctMBMVpeIXfDYY4+15SGcz4QJE+z6Ro0aJdgKfXBR0M7UFys4vi+AcL6IJLgpADeEKylxlC5dOva80tLSrCXS3QjTFEIIIQoafP7hhECgx63IBQt34YJl1g8fPjz2c1oIIYQQRYMsCxFMzh9//HHTpk2bIAcB+JJBRkNW4MsIIZMdOnSwjgZ38wWN3r172+cdlHA89dRTZtGiRYEQwcSe1pdM5nEWxHWeePnll+0Xojg4FzIg+vTpY0UNjkMnDn7Oq6++Ona/LVu2mCuuuCL2ec4PhwRBm3HwfBzp6elWJHG3uDafQgghRH5CJgQXFAiUDnecYpn1GzZssNsJIYQQouiSZSFi06ZNCTkLDsojfGEiM7ggx/AN8cFBDoUvRFDKwfMEW8Lvv/9u75999tngHCjdiPoC9PnnnyeEVfqwD6UUCC20AnXlF+7YcY4IXA4IKmeeeWbS1ptcIaLDRxz8HHHdPnznhBBCCFFQcflNcaWWbr3bTgghhBBFkywLEUcffbR59913g2UnPiAEhLMSsgsOBVwWN9xwQ7AuriwBcQQxgXsEiXBXCpZxJJQsWTJyf1dOgdujY8eO1hlBsBZChFsfBbkSlHJ8/fXXgSgSxcyZM+15JUN1s0IIIVIZumO4iwhRuPVuOyGEEEIUTbKcgnjfffeZzp07W0GAK/XDhg2zjz/77DMzderUHD058hzWrl2bsO6BBx4wQ4cONfPmzbP2TrIccDJcfvnlNrMCUeCwww6LHK9+/frmww8/THpMHA7vv/++fdywYUN7/8UXXyQET4YhcNK5KHyBBheGq4OlfCPui5njxx9/TPq8ECL/KfbbLwVqHCEKEgRKI+KPGzfOZkL47kQuCLAeZyLbCSGEEKLokmUhgmyIBQsW2A4ZhDh+8MEHplmzZvaKP8u5DWIHYZmua0Xt2rWtUIAbAcdBixYtYvd9/fXXTatWrSKfw02BaEBWA4IGQsL27duTujDoZoEYQ05FWETARcF4rn0obUZnzZqV9GcLl5MIIQoOCKPF993PmFU5J7gyXrIAXSFSDT5LadFJd4yBAweaY445xpYt8hlNeSSfg4MGDbLbCSGEEKLosld9IWk9+e9//9vkB2Q10DnCgQgBXGVBJCHDIiwUuEn+pEmTrIMiCudcoHSjevXqVjw44ogj7DpajvmUK1fOlo24sdln9erVwfN8weJqT5MmTcyoUaOC9f65lShRwpQvX9589913wTonfAghCh50xhk7ZrR97yeD9zQdepiEHX744Um3RYTwO+4IURho166dOe+888wrr7xiL1L4n42s53khhBBCFG2yLETQD5wvEyeffHLCeib52C4p28hNuJqCwMAXeModcC/MmDHDll1QquFnQ/ghj6wnHOvcc881zzzzjF3n3Ao+lGO4cpAbb7wxEA0cXNkhF4LuG67TBYIFjgdf1EAgcSIJIID88ccfwTIZFJR7MA7jQdyEhJ9XCJH/8B7NrHCACOHETCGKEuQd0f2Kdtg4Ivic5jMPRwTr6fwkMUIIIYQo2mS5FuCmm26K7P/NhJ7ncps333zTCgyIEMCXm+bNm9svNwgRyUBEYFv/nMOcc845ZsWKFdZaWq9ePetocGUggL2UUgy/3SYOCb5oJSu1qFOnToIQwWuIMOJECIjr6JGWlmZdIO4WVyoihBBC5Cd8ttElivBqnEF0lOICBfcss55OU1HfI4QQQghRdMiyELF8+XJ7NSMMk3Ym8LnNRRddZN0QrlsHZRE4BsiG8Es2osCV4EpKolqNli1b1n5J6t+/f9Cp46233rL5D257HAxhECFKly6dIEyA786gVMNf9rd3EPAVRXp6uqlWrVpwi3r9hRBCiPzmyy+/ND/88IPp2bNnZBtt1nPRgO2EEEIIUXTJshCBCLBq1aoM6xEh/BKG3OKTTz6xzoKRI0cGXS64skI3DBf6FiUyACUlb7zxRqwbgtpvl+NAm1LyKE477TTrWmB7xncOBv8YbOs7G5xbw9+mbdu2CcfEUcGXMvdFDTElTmDwS0yESGXoFFFsx+bs39RxQogCCU4/qFGjRuTzbr3bTgghhBBFkyyHD5x++unmmmuusRN6QiudCHH99dfbSXtu41wPffr0sfdOOFi8eLEtp2Dyj9sgKlDukksusRkQLjwrnBGBY4Fx2J8OHH/++add58byx3T7Mcb5559vS0bC+GNHtRT1HRIIKpSOCFEYUccJIYoGBx98sL2nXXWDBg0yPO/aWLvthBBCCFE0ybIQQZnAKaecYksxqlatatcR7sgV/wceeMDkNnfddZetP8X66YsJJHHvu+++pkqVKkHYpA/b0dOcFp6OsCuC/cmQmDJlii3RwH3xzjvv2MduDG6+gFChQgV78ydEuBz8bWD27NkJz3Ns//gEVxJ4SXmIEIUNdZwQomhAGSJlhnSyok0n4j7uB4QHLgSwnjwkthNCCCFE0SXLQgRf/j/77DNbCrFw4UJ7JZ8vFHmVgM3k3YkQbhmGDh1qBQMcEn7bTn+7q666KmjfSdkFjgef1q1bWyGga9eu5tRTT7UOBVwer732WjBGWLzYunWrvV+6dGmwLixCMI5/zuHnHWwjIUIUVtRxQojCDyWQuBNvv/12+zlKwLP/WcgyFxTYTgghhBBFl73qC4kroFOnTvaW18QJHlxJpWyDLzmERZLBQGaFEwpcRwxcDhAWIYCSDUK06MQBZcqUMb169bLCi49rReaLCn5GBM+zry8+gBMxXDvO8uXLZ9gmCrXvFEIIkUrEZTXFrRdCCCFE0SJTM9xHH33UXHbZZXaCzeNk/POf/zS5CQIAYgT9yHlct25dm+nAFVRKG4DyDAIsfRGCsov27dvbpG5XzoGbg1acDoSL559/3ooZlE9Mnz7d3p944olBtw13Dg6cF9WrV7fjA9vTWWPjxo3BcRjP74jh3BphESKuawbtO6+44oqEMg51zih45FSAooIYhRCFoX1nVGnGHXfcYdt34kCUK0IIIYQoumRKiHj44Ydtyy2ECB7HwcQ7t4UILJ8u7MovicCBsG7dOvv4m2++sZ01fMhx4PxoxemcCeFt+AKFwwGnAqIAteqjRo2yXTHioNRj0qRJQVAn+0elgbds2TJDOKZPxYoVY8syyOXgXETBREGMQgiR2L7ztttusyWQRx11VMLzfJegRTbbhZ8TQgghRNEhU0KEP/H3H+cH4SBKJvdM2F544QWzfPlyuy5qsk+5BgLBV199lSA8+OCgIB+iSZMmNk/ClUQsWrTIOh1cSQbHdPtyjysjym7qQitxXlSuXDlSiHDrWrVqFfszq31nwUZBjEII8Rdq3ymEEELsmRUrViTMqynzX7lyZab3p3slLnz/87V27domlchS+AC5CnTLoJNE/fr1c++s9nAOPkziERAGDx5su3YgOGD3pDTCh6svw4YNMzfccIOZMWOG2bx5cwZhgP34uXA4wPvvv2/uvPNOOz6Cgp8D4WDd+vXrrSMjjMuPcKUclH5QVhE+fzdJFamLghiFEELtO4UQQojM8Nhjj9nGDzkFF9KZ6xZaIQKbpZ+PkB8wkUdBAmydtNucN29e4Dj417/+FVvGcP7559s8CRwK4IsQzu2AY4LxS5Ysacs4OnToYMWX1atXm7feeivSbUFrzhNOOCGhRacP+yA0IHKQbRFFTv4iCiGEEPndvpOW2TgDfXFe7TuFEEIIYwYMGJDjjohUI8vtGKjtHDJkiHn22WfzpZsDAZJdunQJlhEhYOLEiTbQEfdCVEcM4JyvvfZa2xkD/LBKJ7BQ29qnTx9bmlGzZk0rRABBmFEiBOIM+1x//fXmvvvuiz3vRx55xJ5fnBDBFzScFQgqQgghRCq37ySU8tZbb7WZEHw54ssWIgTdqQixVFClEEKIokzt2rVTrpQip8mykjBnzhwzefJk88EHH5hGjRrZcgOf119/3eQmzs0Qhk4ZfLGhPafv2nDlF5wnGRJ8EXKZC37HDJ/x48fbezqF+EIBY7nxnCjBWHTFwGbqeqQDjgpUKkpA2BfHA6Ujffv2DcakjGT79u3BPhMmTLBf4IQQQohUhc5WiA10z+DihQMnBOvj2nALIYQQouiQZSGCLISzzjrL5Bc4FBABcCw88cQTVgBgkl+1atWgO8WsWbOC7Z1gsGPHDpsNgVX0xhtvjB2f7V0gpl9qgevBFyD87RETgG4brnMH69x6QBzxrwBhV92yZUvQ9hNwS0QJEfnhPBFCCCH2FsQGWnSSz+Tad1KOISeEEEIIISDLM9znnnsuX185SjAuueQSW8YAxx9/fOA6OOyww8zll19ugzpcxwo/A4LyCtptupIMN8H3u1K0aNHCWkhxNLiWnM5x4bIpwowePdpaUP1a2DA4MrCkOnBWcE5+5w7EjijS0tJsWYefk3HkkUfu8bUSQggh8gtEB7XozBuK7dxaoMYRQgghckyIYFI/dOhQG9j4xx9/2HBGakDjSiVyC47pRAh49dVX7Y061LFjxwYuBl+EANd2k5yIZs2aWXdEVFtMvjTRNQOnw5QpU0zv3r3tetp6Tps2LTInAicEjotwpw7yI1xeBcendMOBABFuHxo1NqSnp8cGcAohhBCiaHPAt9Py+xSEEEKI3BEimAjTyvLEE0+04gOuAybeI0eONHlJXNgjNlAm/X5ZBhkNCBKIADgcKJX49NNPzZtvvmnuvvtuW9oRFiNeeeUV23LsoIMOsk4HgispB3njjTesUBB2WrDd999/b8d1WQ8OX2jAxRAl2vhiBZkRUUQJJkIIIYQQsLNGO7PrgIxtxPfGESFRQwghRIESIpiUEzxF6QN89NFH1iWAwyBZSUJeQdYCbU8IfHSw7HB5DXTMINAyrs8qYVq08HTuBR77uROUaKxZsyZhXI79zTffZBjLFywQRfzSDIff4SOq57oQQgghRDIQIXaVKJ/fpyHEHin22y8FahwhRAoIEVz199tm4oyg1IEyCRcUmRecfPLJpkePHjbLoWHDhraHKpP5c845x+YwhEsywvWqnPMFF1wQ+fyVV15pcxuqV69uS08QWegQ0qtXr6BswhchnOuB4/uCQtg1AXXq1LGhXcmgC4kQewO/hwqFE0IIIURBBAdx8X33M2bV1Bwbk/EYVwhRyIUIygOYpMeVFewNgwcPtu0+cRNQttCqVSszZMgQU7du3dh9KLOgXMKxcuXKQBh5/PHHzaZNm2L3RTCh/GHp0qWRzw8fPtw+T9lG06ZNbZjlkiVLbMBlvXr1Il0P0Lx5c+uUcESJIYw3ffr0YJlJYjgjolq1arHnLkQcZJfgVvLDTg899FDbgUVt8oQQQgiR3xxyyCFm7JjR5pdfkjsZvvvuO1sOPnDgQHP44Ycn3RYRgnGFEIVciMARQHCjH7iIKEA3B5wIDoSFzDJ16lTbYxx3A0LHLbfcYjp16mQn//6YPoxPWKYro8AJQa4DZSL+RD8KJmoIAsnACQHkQiAoOPHFb7MZhhKQqKvPvjOCsgtyJByVK1e2GRs4NHgdQZ0wxN6IEAS4Hnfccea2224zNWrUsF1fxo0bZ9cPGjRIYoQQQggh8h1Eg8wKB4gQRxxxRK6fkxAiBYSIiy++OMO6Cy+8MNutOH1GjRplKlasaObNmxc7eXrppZesc2H16tV2mRBJJvzXXnutzX+48cYbrVDBBB9HAwIHjxEEsKzHCRwOyjKce4L9EFrYF3HEBweHawlKp42oIErfGcEfXt/xQIkHjhJKNhibY/kij49rMyqED44anBCIEPfcc0+Q1YLoxTItZXmvtG7dWmUaQgghhBBCiAJDpme4zz33XO6eiTGBXQvBII4ff/zRTvDd5NwJDQRBYkdHaECIwMHhykZ4zETs3HPPta6DF154IXb8MWPG2CvLa9eutUID455xxhkZOlfs3LnT3tw5HXvssUkzIlasWGEdHA7OmfNzAkdc605IS0uzgojfgUPuCUEmBC4ffl/DgbEs09IWxxHbIZYJIYQQQgghREEg/9td/H+YuF9zzTX26i0hlHHgPKCTBU4EB5N4bOjs16ZNG7sOEeG+++5LuHqMIyHOdeAoU+av9leUeiBedOzY0WzdujXpPoztiydRGRFsg43eiRBRwoMTNsKkp6fbc3c3iRACCKYEyjGicOvdduKv9+EXX3xhQ2i5D+e0CCGEEEIIIXKfAuP558rt4sWLE3IUoiCAjwnExx9/bIMpaYuJs4BaeJwQH3zwgd2O3AUyJ3zIeYgqofDBaUHmA11CcFfQMePDDz/MsB0BlggHOCXIe3DHjYPtKTkBJ0LECRJhwm4MIcCJX2RCRLV+Zb2/XVFHoZ5CCCGEEEIUDPLVEUHXDIIqEQieeeYZG0qzY8eOpPscf/zxNifCdcdANECIIF9i1qxZ5vfff4/dl+OsWrXKCgBxMDGZMmWKFQgIrsTivmXLlgzbUR7hBILatWubt956K+l5M+7mzZsT1vkiBILKnkQSIXxo0cnvFcGUYRcOy6ynHIjtijou1LNmzZrmiSeeMO+99569Z5n1zq0khBBCCCGEKORCBHkMX3/9tZ3QUzIxZ84c07Zt26RixNy5c2OdDC43Is6qTmtOBIxkLoSWLVsGib5vvvmm+eSTT/b4cxAWSB1+HAgflFMks4HvqUWREGEoHeJqPjkmBFNSsoQwxz3LrL/yyiuLfFBlONQT9wjCnwv1ZD2hnirTEEIIIYQQoggIEXSoQBRAkKD8gVacCAVxYZKUXlSpUsX2DXbhfPXq1bN5EL4Q4CzpYSiloIxiTxA+iXsCcaRJkyZWwNgTYbeDDz9jMhcGuBaeQmQFSgooS8LpQ3lTly5d7D3vAbXuTAz1JLwzLtSTjjvJxEQhhBBCCCFEIcmIeP/99yPbgGKbvvTSS+3j3r1721adOBNGjhxpg/fIfqBTAHAVk0l82bJlrU3dJ5zB8Nlnn9l2mQ7X3tNn9uzZ5uSTT7bWdp7DFYFLwkFuBONyTLcvV57d1VRacpYuXdps377dPu/Wc5XanQ9XqKnbJwTTdfagS4cQewNiAyGvTKR5f/C7RTlGUXdCRIV68n4Mv04K9RRCCCGEEKIICRG+SMCEnAn/ggULzL333hus58ounSuAHAZquv1Ay+XLl9t7rgQTCBk3Pjz11FO2FacjLEIgFHDllIwIum9wHCZ4vtuBbRAZ6F6xZs0au27+/PnWreF+DkpLcGn8+uuvwX5si/DhhAcs9P4y9zg2onIiXMmJEHEgOqhFZzQurPONN94wb7/9doawym7duiVsJ4QQQgghhCjk7TsXLVpkSpYsacsgECEInXTtKX/55RezcuVKc8MNN9hl7OdLliyJ7FCB6DB16tSkx6Ksg3DMuImcm/DTuhMHBleacVD4pR4ICOBECFi3bl2CG4PATM7dF0LowsHPCVyVRayIa9cZJi0tzR7P3XgNhBCZA9cDbXn//e9/W/eDH1bJMut5XqGeQgghhBBCFBEhom7dutalUKFCBXP55Zeb66+/PphokwVByYKbwFMuQU13VNjkgw8+aFq1apXURUBA3XfffRd5HogDuBIQFJzw0KlTJ3vv5zuEuxM4TjnllOBxXBgmP+PekJ6ebh0Y7uaEGiFEzrCnDBchhBBCCCFEIREimLBfd911thSCMgiS6wmHHDZsWOT2tCIkRJKQS0QFXBRuAlG+fHl7c3XxZDWEyxzat28fiAtxkw8m+aNHj07IbeCckkE+BeeUjMMOO2yvrd/hEhIhROYhE4I8FnJnEBn9UE/yZ/7xj3+Yn3/+WWGVQgghhBBC5BH5Gj7ARIAOGQRCku9A7TYhkK78IQx5DQgWlDRQ/oA7AeGBiTpiASIF92Q2RJU9NGvWzLoskjkXKMkgbNLPn6hfv74VNfwx/SBMumzQAjAZCCcVK1bMsB6Hh3NZROVDCCGyhwuhPPPMM02PHj0yhFXyt+TZZ59VWKUQItco9tsvBWIMIYQQRYcVK1ZkiBgg9iAz1KpVy85fHZQz165du/AIETggoEOHDgnr/Um93zXjyiuvNPfff78Nj6SUAkcEkwho27atvafMAyHCTep98QCRw39B/f0dn3/+uenevbsNm5w0aZLNrOAcqCH3x/JFDM4HsQJRxHXJCIOogUhC4KZPXKmHECJncE4k/hA3aNAgQ6in+wOtsEohRE7DxY/i++5nzKrkGVaZhbH8CypCCCFEHI899phZuHChyQmSVS2kpBDRt29fM3nyZLNhwwb7wcrVyRtvvNGcdNJJ9nkEgAkTJphrrrnGLpOPgNDAZJ7SC9d1gsm8K7PANQFRjojBgwfb9pwOJ0KQU7F06VL7mHEos8BlwWM3XlhgwMkAHBtBIwq/PSjiiN8G1B2LmxMj1q9fbypXrrxXr6UQIhr+rpD9Mm7cOHPPPfcE713gvcd6yr4UVimEyGkOOeQQM3bMaBtgHQfZVXQLGzhwoDn88MOTjsd3JcYUQggh9sSAAQNy1BGR0+SrEDFixIikz+MiYKLguma4Fnx+uKRj48aN9t5vzReG7f0sB1degQjhSiQQMHih3XMzZsywnTMQCDgGzgjqzX0nA4/5kuHECtwUrPPFi02bNgXny9iMSRcQfxtKPKKECLXvFGLvwanUr18/c8cdd5hbb73V9OzZ077H+cOMCDFz5kwzaNCgIF9GCCFyEoSDzIgHiBBHHHFEnpyTEEKIwk/t2rVzvJyiUHXNiIOJPVcJcAm4rhlAy71y5coFy25SzwTDD5h0zzlHgwuVRBAIl1cw0XfCAkID4Znsx3q3v2vX+euvv9p7/6oF23388ccJ45J5cc455wTrcE1Mnz49eJ5JEF9MfKUpDrXvFCJ70IoXsQHxzw+r5H3Iep4XQgghhBBC5A0F9lK7a90Z5u2337YiBcGUCA2IAEwm5s2bZ5o3b56QweAcDX77zMWLFyftSkGORNeuXW05CJYURI4//vjDbNmyxT7vBAu/DeiOHTvMBx98kFDywe3FF18M1tWsWTPh3DjmunXrEs4j7ooJ7TuxbQoh9h7EBoTFcFilnBBCCCGEEELkLQVWiIhj4sSJCcsu54HwDAI5sFnHgdvBr5OJokqVKkENDW4MQjKpL08GDg3nmPDxwys7duxonnnmmQxuDL9rRlw+hNp3CpEz8J4Mh1WK3EFdAoQQQgghRKERIuLAcYArIlkXig8//NC6C5KBK+Grr74KAih5/P333yfdhxKM119/PcN6P/+B3AjcFmHc+eLuwHmB00MIIVIVdQkQQgghhBBFRojATUD3DXBBk77bAK644oqkyfiIBcuWLbO14yeccIJ59tlnzfbt2237UH/cMNddd5157bXXgmXEBEQFB+eBSOI7G8LbMC6ih67WCiEKe5eArHQKUJcAIYTIO+RmE0LkFYVGiCCEknIKcGJB2B2BsHDppZfGjlGxYsWg60bVqlWD9W68KBECCMDzRQZfYHACRribR3ibPXX8EEKIwtYlANQpQAgh8h+52YQQeU3KCRG+GMAE/6abbjJz5syx5RMNGza068l0YFJPR4pjjz026GhBON2VV14Z7E/5hcuYAP8K3nPPPWfvu3fvbsPtkvGvf/0rQVgoXry4PTdKM9yNvAkfQjbZjnahDr8dqRBCCCGEEHmB3GxCiLwm5YSIKHA+ICjUrVs3wVmAQ8Jvq7l58+YEl4QvQgBlGC6Yko4WPKZrhmvZGRd+h1BBR45kgsK2bdtsiYYDBwUChZ8dQfeNKBAthBBCCCGEyC3kZhNC5CUpN8Pt2bOn7XyxcuVKu0xI5PLly82kSZNsu00HjgTAdeDcCkz8fecC25DVwDaIEDx/3HHH2awGnnMtM/0ASSccuLwI9kF4KFu2bNLzLlWqlB3HiQ6MgyjiB1iWKFEict+0tDSbb+GLGkceeWQWXzkhhBBCCCGEECL/+b9L9CmUBYFQ8NNPP9nln3/+2YoQJ510UoKKi0jAzRceEAucQOG2wRWBCAE8d8YZZ2RwNfjWMycc+CUitO/0MyXC4IQgTNMXNBiHY/jngyASBZ0+qlWrFtwkQgghhBBCCCGESFVSTojo0qWLFRxce02EhKVLl9qMCO6ByT0lE2EaNWpkSpcuHTs24kK9evVstgTlEE8//bTp3bt3EIIZBcdChGjRokXsNpwrZR6+0OAcFb6g4cpCwvhBmEIIIYQQQgghRCqTckLE22+/bUsxXJ4C+Q0DBgww//jHP4KJPiJCuMMFboQFCxaY+vXrx+YvUOuGu+K9996zk/8VK1aYDh06ZAiarFSpUnAsjkM5R7LAHgIp2cYvwwifH64JOR2EEK71WbEdm7N3U/s0IYQQQghRQEm5jIiwKOBAkMDNQAkEZRtRgZGIEP/85z+t2IAwQdmG7zZAlCDw0i+h6NWrl5k8eXLwPNtv2LAhYdw+ffqY6dOnx55z+fLlbfcOv0OGc0W4DAvyLZzLQwhRNFH7NJHT5IQgJVFLCCGEEKaoCxEnnHCCFRoIbGRiz5dsWg3169fPTurJgYgSK8hxQIBw2RJ+doTDCQUTJkywpR3kMfTt29eceuqpSUskEBo++eST2HN27gmCLcOlGe48mjRpksVXQghR2FD7NJFTSNQSQgghREEm5YSIk08+2ZYw3HDDDXYZQQLIfmBiv2bNGnPllVfarhQPP/xwsF+DBg3sl6iNGzfaZb9tpsM5ISjR4DHdOa655hp7TNwK4XafrtMFosWiRYvscqdOnczs2bOtwECnDI7nWob6Qka4NCPZZEIIUXRQ+zSRV6JWZgUtkKglhBBCiCItRPBl6KmnnrKTfBwMCAqESSIENG7c2JZoXHbZZdb54AsRrjvFiBEj7L3fgtPhvoh17NjRige4KCjNIL8B1wMlGZRnIDw49wSlIOBcGBzXBWXS0QNwVoTFC8bn2E4MSdZ1w8+xEEIIIXJS1JKgJYQQQogiFVY5bdo0061bNzuZRxSgJCIZlD+0b9/ehkk6Z4PraIEL4YcffrCPjzrqKFvC4eO6ZdD6M86VsHXrVns/ZcoUKxa0a9fOihBst27dOisekD3hOymaNm2aUHYxd+5cK0YgVLicCgIv/eMRtMnzvsPis88+i/2509LSrNPD3ZYsWZL0dRJCCCGEEEIIIQoq+SpEMCEnG+GJJ57I9ljffPNN8BjxwAeR46OPPrIiwdFHH53hecfnn39uLr74YtO1a1d7bnTNABwYjnDLzVdeecUKDX7AZRjnxvAzI5zA4Vi2bFns/unp6dZV4W7qriGEEEIIIYQQIlXJVyGic+fO5p577jFnnnlmlvbr0qWLLZvwSyNuuukmc+ihhwalDC4gEpjw41hYu3atFRtcZkMYOldQL4trAreCO8bEiROTns/QoUODY0fx7LPPJixzPuFz+PHHH2P3jwvJFEIIIYQQQgghUo18FSL2FkoztmzZYh9v377dNGzY0MycOdPUqFHDOg0Iigy376xSpYp1E1x44YV2uUyZMhmcCt9//70NpXT5D7TyBFwScTAG7T3dtj5ODCErYurUqYETwwkLLLs8CYSIqE4eQgghhBBCiIIH5dq4mv0bQcDAffi5cFC+EEWZlEpBrFSpUoZ1hFMuXrzYhlaS7RAWFxxLly61gZauhMLlQfggXnz55Zdm9erVdhycDpRBJAvxwn2BCNK8efPI8RyEZHJs/w+Q74rAJUEGBl03hBBCCCGEEAUbLmISkh8FLuswzzzzjMKBhUhFIQLXAQGShFxGuQ9eeumlIDQyCsSFDz/80D7GPUEXjLAyibuCvAmEARwLrVu3tg4MR8mSJa0Lw4GDgpBMf5swuB4ImIzLpnBMnz5dQoQQQmQR/o7zZdDHvyIV5rDDDrPitRBCCJEd+DxBXMjK9kKIFBQioHbt2vaLJSICpQy08SRY8pJLLjEtW7a0eQ7uCylfNH2h4e677w66XHz77beRwgDuCtqAujaederUMStXrgyeDwsXrvyC/AnHAQccYM+Tc9y8ebN1TSBe+FkPrOOPEe4L54xw7T6FEEJkHl2REkIIkR8w19DniRBFRIgYNmxY0M2CNp1M6HEv0AcdNwMiABx88ME2DHPcuHF2GdGBSf/5559vlymTcO4JnnNiwPz5862ogNOBjhhh8SEcHIl4wLich4M2pLQXddkSCCacl1+qwTirVq2KbDEaxh9bCCFEIroiJYQQQgiRWuTrDBeXgBMVnEthwYIFVkSI+qL4yCOPWMcCeQsO5yIYO3asKVu2rFm+fLld/umnn2yphp8vQSCkC6L0gyH9rAZKLGjxeeCBB1rR48477zS//PJL0p8jXC5y8skn2zIQ156Te9RSfrZkOLdGmLS0NHPFFVcEy9u2bVMLTyGE+P/oipQo6hT77ZcCNY4QQghRoIWIq666yjz//PPB8nXXXWfvcRKMGjXKigDc4zhwGQpvv/12whjVq1e3ggaT9Q8++CBBVPDdC+vWrbNlFrTlDOM7InAtDBo0yDzwwAPBcUuUKGHvcUlE7T9kyBBz/PHHJ6xDfCAbwrkuaFH68ssvZzgugoXbpk2bNpGvU3p6eqS9WAghhBBFl4MOOsgU33c/Y1ZNzbExGY9xhRBCiEIrRDAJJ/yRiT5uhZEjR5pu3bqZ8uXLBw6JDh06BNvjTAi35UQsaNGihXUv3HfffVaMeP/99yOPd8cdd9jOGmF88eLSSy+1+yMS4GDo3bt3gjsjnDvBuVI64T60fSeEX/pxxhln2DwJ//z949aqVctUrlw58rzD5SBCCCGEEIcccogZO2b0Hp2bZGtxQWPgwIG2lDUZfJ9hXCGEEKLQChGUR1ACMXz4cNO9e3dbWuFECNfO8tNPPw22v/XWW83kyZNtBgPixUknnWQn+XPmzLElGpR0EFbp8B0J8J///Cdo3xkWDaBKlSrWjfHuu++aU045xR4LocR1sohyQxBGefvtt9t9af2JKEHWAwGaTrAoV66cFTDCORE+a9asyearKYQQQoiiBqJBZoUDRAiVMYmCgjoeCVG0yVchglIJRIX+/fvb5Yceesg0a9bM/qFBJIj6IwS4C8KuAkQNhABfWPBFCMZ79tlnE9wN/raufOOjjz4yXbt2NaeeeqoVMvr27WuFhDj4g0j5SM+ePe0yQgNXJnwXgxM/krUW5fwROij/EEIIIYQQojCjjkdCFG3yVYig3SaT+Lp165omTZrYThNt27a1gZS05YzDdzLwuEGDBuaEE06ILLtwsD3j7mmif8899wTbEHBJacajjz6aVM1FdPDbd4ZLKRA4yLLwAzIBoQNHh3NJUGbCayGEEEKInAtQVAijEAUPdTwSomiTr0IE7TV9brvtNtOvXz8b6njJJZdk2B5h4KmnnrJdLS644AKzbNkyu94JBzVq1MgQQOmLFogBlG84KLvAhVChQgWzfv16u27r1q3m1VdftfshijCO68wRB+UYlH2wDzeOS+kI5Rlw6KGHmkmTJtn2ou4PKcdBxPDFiYoVK+7FqyiEEEIUPnI6iFEhjEIULNTxSIiiTb4KEWGYvPMHyW/p6YNbgNuFF14YbEM2g8tX8CfyrmSjS5cuNvMB+vTpE7gmKJdwnS02bNgQ7Fe/fn37HF9WXDaEg5INMijc2OxPACUgWLDMjSwIJ0IAtZucN9tAuB4OOBYZGXFChxBCCFGUyEwQo0IYhRBCiNSkQM1wd+7caVauXGkuuuii2G1uuOEG88ILL5i77rrLOij4YkFJw7Zt2xLKGvhCwhcUJ0K4YMmqVavaxzgRwqUSgAuiffv21sGAaEHpCAIGvPfee1aoWLJkSYb8BwIq3T3bzJ49O9jGOTZQfjmm75xwPPjgg7E/M61Jr7jiimCZn/XII49M8kqKZCgcSQghClcQo0IYhRBCiNQiX4UIRAXadbqrGPfff791KJx//vmR2w8ZMsQ8/PDD1nWACAFfffWVvaf15/PPP28n/ZRbRE0oCaIMixzhzhmUf5A58euvv9quHYgQtWvXts+xnS9CACUZZFs4UYP9fBECPv/8c9s6lBIQnnfOCR9yKOLq5NLT0yNDe8TeoXAkIYQQQgghhCiiQsS3335rzj77bJuXAJQuICjgjACCInE7IAg4IcJ3ETjKlClju1zceOONVmy49tprMwgNCBxcCQ/vHxYECNBEXEDIIEMCsYQx46BsgnPetGlT0p+VcadNm2YdH1GMHz/ePP744wntRePCL0X2UDiSEEIIIYQQQuQff4UW5BMDBgyw5RJuor1gwQJz2mmnmdtvv90uUxrBOsdNN91k8xeY/LtSiMqVK1vhgmXCIGfNmmXFh7DQQOtMyjgaNWoUez60DmU8RAEnhCBGhB0OPnS8+Oyzz0yPHj1it8GlsXTp0iAjIort27cH7g6RN+FImb2pLEMIIYQQQgghCokQ0aFDh6BMwb+Ry0A4FS4DAiL9rATKIObMmWOmTv0rRZs8B0oxcFfgdnj77bczuBwclEYceOCBsedDm00EC8oncFDgUOBcCLxMBi6HatWqBcuIFz4ILT/88IP58ccfk47DNkIIIYQQQgghRGEmX4WIZOBwQDggN8KHsoujjjrK3sC5F+hegUhBWUUcb775ZtLQK4QCykC4Co7rAmdF69atzbHHHpv0XMmH8I/rH4MxEDcoC3ElJ269EEIIIYQQQghR1CiwQgQTdXIafKcB0KrzueeeM4sXLw4EC0of6KTh8h/YF0cDDB06NNiXUMxy5coF2+COqFOnTsIxaQvasWNH67JAkOB5RA6/rMKJCLQbBcpFvvjii+B5lwNBO1HnzmAbfwwe83ytWrWCdYceemjka6H2nUIIIYQQQgghCgsFVoiIY+LEiTa7gc4WgEiAaDBv3jxTvnz5IJzywgsvtPdz584N9sWZQAtO4DlcDMuXLw+eZx1dM95//30rFDz11FPBc35Jhwu/dA6HmjVrWqEh3K5zy5YtwbqmTZva8/TPhXwMv41kXEtOSlIQYNwt3LlDCCGEEEIIIYRIFVJOiBg8eLBp0aJF0F2C8g04+OCD7ToXYkkrT0SJl156KSEQknwJcI6JqNwKwgnpxEE+hMOVgvhCgnNgnH766aZ79+7Bc05wYBu/a4Y7Nwf7E3bpzscJGFHtO3GGuFucYCGEEEIIIYQQQhR0Uk6IGDFihPn666+DCTyOBkoXXPnCiSeeaO/pkBGGVqGLFi3KIBL4IBYQkEngJB04cF/AmWeeGZvtcPLJJwfnEwcZETgnHDg5fJJ11FD7TiGEEEIIIYQQhYWUEyLoaLFjx45gGUGBiXq/fv3ssnMm0HUjDC6Htm3bJh0fQYE2mhs2bLA3HBIwc+ZMe+8yHxjLQe6EX3YRhy+O+E4I93MIIYQQQgghhBCFnZRLQaSlZxTObRBunenz008/mVtvvdXcddddQVlFGEo3yHPA+YDocdhhhwX7+mzdujV4PGHCBFOqVKlgmcfbtm1L2J7SkRo1aiQ4IhAjnAARdz5C5CXFfvulQI0jhBBCCCGEKHyknBBBe03KJQh5ZPJOaCUOhmuuucY+v27dusBpwCQft4ILjVywYIF1JZABQVClC7b0oZPFlClT7GMyG8iGIFvi559/TtiOUhBXMkHHjHPPPTcYLyxCwPr16+3xHYgQ4eMTfumHXgqRV/C+KL7vfsasmppjYzJeVImUEEIIIYQQomiTckIEwY2UTAwaNMjcdtttZtmyZaZJkyZBG8wxY8bYe+c08DtXzJ8/3woAf/zxR4KQ4GjevLmpXbu2qVy5st2G5bJly1qBwGVLOAjJ5DyAThz3339/grCAEMKyOwZiCYKGg+Mzxo8//hi4ISREiPzikEMOMWPHjI4safKhpe69995rBg4caNvhJgMRgnGFEEIIIYQQIqWFCNd+ExECEBYWLlxou2NcfPHFQWtLWnlSTuGXPJQoUcIKE3Hhjz/88IMVA2jfiYhAS1AcGOREhEsnEBCA7SgXIUDTbePcGD5+G1GCKXkeIYNOH4geLtAyChfEKURugmiQWeEAEeKII47I9XMSQgghhBBCFD5SLqySyX7//v3NgQceaJefeuop60KgXOPbb78NrugiKITFAyb94XWIAq4TBmUdb775pi3dOOaYY2wgJW4LoMQDXGaEG4djIxS4MEtAuAg7GxBMXM4E+zZu3NjmRDgRAuKuRqelpZk1a9YENye2CCGEEEIIIYQQqUbKCRHt27c3Tz75pBUaYOjQoWbcuHF2GUeDA8dBuNUm4ZPh7haIAn7rTNqB0r4Th8PRRx9tSzPcvkA2RZiqVaua1atXB8uTJ0+27gYnWkC9evUSAi9xceDMwKWRmXKUatWqBbcjjzxyj/sIIYQQQgghhBAFkXwVIoYPH26dAaVLl7a34447zpZFxDFq1Cgzffp060JwWQwrV640F154oRkyZEjCtggB4SBKbOcjRoxIEB7AL6NgP4Isuf/oo49saQauhbiyCWA8nAo+HNsXLWg56lp2+tv4rUjprBFFXCmJEEIIIYQQQgiRauRr+AAtMClh4LZx40ZTpUoVc/rpp9suFHTDyApM+pPVt1NuUb16dSsuJGuV2alTJ9s1g24Zs2fPtiGTlHQ4ojpt4LJYu3Zt0m0QMpyLIw46ayjcTwghih58RoQdd4TD+vc+OO74XBNCCCGESEXyVYho2rSpdQTQnaJ79+7W2fDxxx+bWbNmRQoRhEJCzZo1bYtMt0xGww033JDUOUCCP+OS+xAHAZeUfsC1114bCBP+l8OwwOCEB7/kI7wN4ZWIEOGykDB+aYkQQoiiA58zl112WeRzdKoJ88wzzygwVgghhBApS74KEZ07d7Y3B2UXCBOUaESBUwEIpfQn++QmlCxZMmnrQdflgrKLOOiogTOjYsWKdnycEORP/POf/0zqdqA0wz82JRZ+HoTreuFKMxAmWLcnYUIIIUTRAIcD4kJWthdCCCGESFXyvS/kokWLAuGBDhhvvPFGbBgjpQtkSbjgSAfCRL9+/Uzfvn1jj4NYcNJJJ5nPP/88yHtAEDj00ENtaciKFSvsOjIkGItlxAI6YCxdujQYx3XJ2G+//axogjDBGIRb+iUnhFDi6uB4ZEywjRMwXCYFggdOCdwdwDZCCCGKHpRZyOEghBBCiKJCvnfNqFu3rlmwYIF9fMopp5iLL744tj0lboZjjz3WdrPAAeG7DZjkT5s2LfY45EJ8+umnpk6dOsE6BAFadq5atSqhxAI3AyJF69atrRCBS8JBFw1EBpf3wHERUtx5+Oc6Z86cYBvO2adGjRrm559/Ntu3bw+OHSfAhMcWQgghhBBCCCFSlXwXIih/qF27tn180UUXmSZNmphhw4bFbk+QJVkKYXcB9zfddJPtxBFHuXLlMggC4MIruT/nnHPMe++9Z0MjCbcEP1cC8YAyDD/wsk+fPrY8xB8vXL6BcIK44cBxwTm7IEyECFwWUaSlpdmuHO4WJ9QIIYQQQgghhBAFnXwXIsIwiY/LTqB0gYl7qVKlgrRwN+Fv1KiRfZ6uGHEuAtwUyayv7E85Rf/+/e3+hFv27t07MqDSB0fHCSecECw7wcHfDwHBuTic8OD/rDyO66qRnp5uhQ53i3NOCCGSg/iHmDl58mR777fuFUIIIUThRt8DhCg45Kvn/+abb7ZhlS50a8yYMeaTTz4xkyZNityeyTqBkjgSwqGTiBNM5F977TW7TPnE9ddfb26//fZgG7psOIGCzIhwG08XMEnLThLMCZ2kNCMKP7Ty2WefTRAHov6oMV7x4sWDZfaNCr6MIlk3ECFE5qB068knn0zoToP4SCZMu3bt8vXchBBCCJG76HuAEAWLfHVEkM/Qo0ePILeB4Er+QJAbAbgRfCEANwNBk+QqhEWEs88+24ZCOhArfBHC4f74hPcH9sehcOCBBwYCQK9evczKlSuT/hxr164Nci6S4fIgRHL4P162bFnC7bvvvrPPcR9+zoWPCpHsy8cdd9xhW/8+8cQTtvyKe5ZZnyxfRgghhBCpjb4HCFHwyFdHBF0ucEE4li9fbq688kobWDlq1CjbrtNvizly5Eg7EWW97yTA3UBHDVeuEUeVKlWCNp6UT7Cfa6kJZDRw448TboWOHTvabfxMBuek8I9PJ4/58+cHy1FOB1wfYRdHZtwQRRHcI5dddlnkc/fee2+GdbS8U9q8iAOHEgInobL33HOPfQ8DZVgs33rrrTZbhnBaP8dFCCGEEKmPvgcIUTDJVyECt0PcZBwBglKKM888M2H97NmzM+yDMHDttddaV0QymjVrFrTZJK8h3Ab0xBNPtPctW7a0x3CZDX5rTo7FHzCed+eBnWvGjBnBNm69L0j4YZZRkH1BG1Hxl2iDuJCV7YWI48svv7ROqNtuuy348uFguWfPnjYXhu2OOuqofDtPIYQQQuQ8+h4gRMGkwPaFxGVQoUIFc//99yes37FjR+T2lFTglEgGORLUggEiRFjQcMIDrgmEgQ8++MBmVmzdujXYhpwHnBeUbbjtuRrvl3rQ4tO5H1wYpRMiUFpRZtmGUg0es++ehIqiBK9vXjoc+D/gw4eMEHJBGjduLEW8EOGyX2iZG4Vb77YTQgghROFB3wOEKJgUuK4ZDtwElGGEJ+inn356wiTRhU+WL1/eHH/88UnH3LZtm7VlwUEHHZTheSaj5ETQtpMyDtp20k4U0cCBAIG44F+FRxzxu3QgciBYcE4Oknn9IEvagPLYiSF+kGWYqA4gImegJhAlHEfN3Xffbe9ZVq1g4QFxCb799tvI5916t50QQgghCg/6HiBEwaTAChFxvPnmmwldKVxHiYoVK5patWol3ZcuGrTZRITwXQ6OzZs326wJasbOOussuw3Hq1evXrANwgFixdKlS4N1GzZsSBAd2Aa3A2Gcjrlz5waPnS3Mz5pwYYxRpKWl2faf7uZnVoi9R8FFRQMcLjihxo0blyGklmXWV6pUyW4nhBBCiMKFvgcIUTBJOSECy364vgvHAO06+SPiOyp8cBzQhYOSC1wWUdZ7robjhli9erV54IEH7HEIrqlfv37Sc6JrA/s5ojpykHnhwjTd8/7PQZmHK/UIk56ebs/Z3fxWoSJngosQn+iW4oKLWE9wkfpLpz6812nNNXPmTBtIRXteSqe4Z5n1hOSqHEcIIYQofOh7gBAFk3wVIrji3K1bN1O5cmUrHEyYMGGP+1AqEZ7o44qYPn26ad68eYbt6YIBjN+oUSOzatUq+4cnaoL58MMP2yvhWLTYHmWU1qJ7CkPEEVGuXLmk2yCSuDBKJ5JECRZRONeHyPngIsow4oKL+H9lO5H6ECg7aNAg+/4nkKpLly72nvc669U/XAghhCi86HuAEAWPfA0fIFsBYYE2nt27d9/j9nSmeOWVVyKfo2MGYZQOV/LgwiIpp6BVKCJEsraZjDNixAi7DeeWGTjuihUrkm6Ds4Jz8M8t3OZTXTPyDgUXFT34ksH7UMGkQgghRNFD3wOEKFjkqxDRuXNne8ssWKfCk3dKLZjgX3jhhWbjxo2R3TcIj2SS/9prr5mHHnoouOrtHAmuk4UTFerWrWsfN23a1N77eRBhOB+2f+eddyKfc+eKG4MSjrjnXTcPkffBRWSAhD+UFFxUOOG9rtZcQgghRNFE3wOEKDikVDsG6vbDbgbnMiAM8tRTT7WPqfVn0o/QQKcM/yq3K9VAiOBG2YMTIchwIOuBkEr+UJEZgRgRFWzp4HzOOeccM3DgwNhtEEM4brgcxP9ZOnXqlMVXQ+REcNGjjz5q8zso03CwnkBTBRcJIYQQQgghRBEPq8ROFcfixYuDzhVM8E877TT7+PDDD08QLDZt2hSEV4bbYiIYAFfGzz33XPsYIePHH38MBA4yI3AyuJwHxqC9pxufco42bdrY8Z3QEG4VSikKV+H9QM1kZSBq35nzIDR16NDBul0o37nhhhusY4Z7llnfvn172fWEEEIIIYQQIodJqRkubStLlixpBQE6TCASuPIGyjZc1wnKNSZOnGgfO4HABRJ+88039p4r3S6IkIk+zgj2g6FDh5rzzjvPlnMgKjz77LN2PQm7ZEHgbvh/7d0JuLXl2Dfw2/DyViKUXo2UVNIb0iRTlBAiQ+ZSpEwZI68ylaHEKyVTSqSUoUkiUTTTJA2oNIlKUiJl2N/xu77v3N+172et/exhrbXX2vv8H8d+1rPG+76v+7rO6zz/5+Qc6voBUVDy17/+dYnE0MVDC8/6dwPf/va3S32M5ZZbbpzkQGZM1r5z5513Hn/uuueqc4ZIk2uvvXbCa9F6tFMLUoU+o1vIMEF0yqmnnlrSakS86JJSR0R4/bTTTmte97rXJRmRSCQSM5SzmYudSCQSiURi5ImIj370o6U7RW3wRtQBD/Z5551X/i/UPnDDDTeUx1B+oi7EOeecswiJIIohgMgQgYEgiIKXcTzG+D/+8Y8JBEf8bpAh9XfadQacn9+pa1pMZqxr37n33ns3wwAkxE477dTxvU7n+IUvfKG0XB3Wrhl77LFHxxoRCCvVlL2euYSJRCIx/a5YWiS309600Mvq9IlEIpFIJEaKiBCR4K8TpD9otwiiJhACdU0GEQqLQ3zeMUQdTOa5add7CEIi0i3q+g/LL7/8hM/Ge/VnJotwGKb2nSIckAvT+fywd83oVLgou2YkEonEzEkIrbDVdUL2kqcKAB9++OHl9YXcKm++RBUmEolEIjHSRITUhbrtJUXlwgsvLF7pTgbsc5/73OY73/lOiVJAFDDQIzXjVa961Xj9B7/bRkQoRMRCJ0SNiB//+MflN1daaaVFajTUHTYgFISIiPC9uvYDiOKoEakgNVZYYYVmFOB6hzHCYTZdM9ZZZ51F3s+uGYlEIjF92B9FQiAh9tprr3GSnpz1/H3ve19z0EEHlYjDhZimMV+iChOJRCKRGGkiQqeLzTbbbPz529/+9vK43XbbNYceemjzgQ98oDxeffXV5fXtt9++dDkQNh+GfCgy119/felyAGo4SLOoCQleCHUZQinqVvDyggsuGCcebrnllkUiF9qREAgRKRZxHnVb0MBxxx034Xmce92+U/qF2hSJwXbN4KGrlWVw/7w+Sl0z1EI59thjSyoSUmvrrbdepDZJIpFIDDLtrb3fev6KV7xiQae9zZeowkQikUgkRpqI0LWg3Y6z7ZX2mRrIAaRCjdVWW61EOigwGNEPdY2GMP7VkNCd4uKLLy6vRWeLIAZ4+30mvhuRDHXXi5o8CMXqy1/+cjH6EB1tEgJuvfXW5uyzz17k9fp3Pv/5zxdvSBqPgyl45vtylYUJ89BRjuvwYcVPhQ+Pgsfuc5/7XHP00UdPIMm8pq1sXeQ0kUgkBpn21gkLPe1tvkQVJhKJRCIxb2tEMNJ1NTj99NMnvK5IZG3AIxF0qpBG8YhHPGLS32TEasnI0Izfqg1NzxEfV1555YS0i1qhCiIi0iuQGYxWZAXCIcgJ70fHDt/xmTpaov0ZkRWXXHLJgvQQzVXBM99HNhx44IHFQ1f//qjkMCMcjjzyyJKutOOOO5ZwaHPt4IMPLq9DkhGJRGJQyLS3RCKRSCQSU0H3PIU5BuNd4aaVV155wuvPetazmlVXXXU8ciCiFni2a8KAod/2ZoukkJeKSAgyo/Yi+z/PcpAfQWxstNFG458JIiGiKPym86yLYfpMEAzgWAzpSPmIGhJR4yJQG9s16hoVC7HgmYgXZMGJJ55YHj33uvd7gXZNj1GBOWa+IiE8Puc5zynrwWP9ej0XE4lEYlBpb+0IwVFMe0skEolEIrHAiIhuQEww+sM4D0VHOgWDsi4eWZMMiAuG2dprr92svvrq5bOd6kXouLHkkkuW31erAkRRTGa0/u53vxsvbAm+206xUK9iiSWWKP93XHUs2mke3bDbbrs111133fjfpZde2iy0gmc8a+5LFDzzuoJn7Zodw0h09AtqQrh+kRBtssrzHXbYobzvc4lEIjEIRNqbyCxpbyL9dKLy6LnXd9lll5FIe0skEolEItE/jBwR8cUvfrEY4tHGM9IhGJAiGbp5fxEUCAhKECAAam9NdMz43ve+V3JXRSuEASftYv311x//XhuOWUdu+G77PBAIiBBgHLbbi0I3xUwhS78ff5O1+pxvBc/UbuhW8Ey7Vp8bVqKj31CYEpxrJ8Tr8blEIpEYBCLt7aqrrippb89+9rPLo7SMUUl7SyQSiUQi0V+MHBGx4oordnxdxAGSoVOxSLj99ttL7QdGLOWo0/tBNPDmwI033jj+vpSOGozWwEMe8pASatomEmoDWg2I5ZZbbtJr+/Of/9zx9Xarz4WAfhc86zfRMQhEy9cg19qI10elNWwikZg/QDZIw/jUpz5VOmh4/NrXvpYkRCKRSCQSidEkIj7xiU+UHPggAl7wgheUx1e+8pUlFP15z3veIt+JdIpPf/rTixS7bIPn5rDDDiv/P+ecc8qjzx9xxBETPhcRGfDmN7+5FJmsveeOqZBl/fmIqugGUROJRQuedcJsC57Nh8ruWnQivxSmbJNVnuvm4n2fSyQSiUGD/LE3Pv3pTy+PmY6RSCQSiURiZIkIbS5/+MMfjhMB8vojUkKhvkh/qBHEw3e+850SObH55pt3/f2ddtqpWXbZZUutCCkg22+/fXPCCSc0N998c9fviMLQurNO83DMuoWoopZqPQSilgVEfv9tt9025XFYSAXPkEcXXHBBc8opp5RHz2db8KzfRMcgoA6JFp3Skzwef/zxzR//+MfyWL+eLWETiUQikUgkEonEMGHk2jEcd9xxxagPhLHPK7zFFls0p5122vh7IhIYrQERC8985jNL541OEF2hiKQWnggL5IP///KXv1zksyIyggw54IADmi233HJCmoeICMQIwxD8bu19j2tAWkRayOJSNxZiwbM999yzRMDUpI6x9PxDH/rQjD1sNdGhJkSdnjFKld2jNafuGPvtt9/468blpS99abbuTCQSiUQikUgkEkOHkYuIQBB0ggiGtge7JiGA4Vmj7oCho8VRRx01TjIw5ITlr7LKKs1aa601/jnFIkUz1KkZt9xyS4miqI/DsA0SAhSYPPPMMxc5byREREQIX01MrbXmbFtuzqfK7sgGUTvPf/7zm8c//vHl0fMkIRKJRCKRSCQSicQwYuSICN5q1bejRgSvOCAMQJ2IujZDjV133bXr7/KyB3Eh3YMXfplllil5rYpR1nUcRDPU7RKlg9RFMhVBFH1Rf+Y1r3lNqVFRG9JBnkR+f7duGO3WjAsBdVcLRnVd8MzzXnS1mC+V3bUZNb+OOeaY5uc//3l59HzY248mEolEIpFIJBKJhYmRIyJ4sbXwDCLiS1/6UjHqEQdRK6IdCRHYcccdJxiuddFKHSte8pKXlIgLxugaa6xRoive9ra3Nb/61a8W8YzXxQF5oK+55ppFvPT1Z5AZZ5xxRtfojsnIBrUlECDxp3bFfEfd1QKxVBc887xXXS1GvbI7suH9739/s9pqq5UWtkg0j557PcmIRCKRSCQSiUQiMWwYOSLic5/7XHP33XePpz1ce+21hVDgCYYNNtigq1G/++67T2jJ2QZPe/zOvvvuW8gFBAWDdzLPO9LiiiuuGCc22u0gAzfccMP4/9udO5Zeeumuv7/PPvuUlJD46xY5MZ8wyK4Wo1rZvY4aUedinXXWKQSdR897ETWSSCQSiUQikUgkEs1CJyK6Ibpa/OY3v1mklWGAJ71Oj+gExlsUxWTA8YzrPjBZbQI1IdSJmIyE8JkgH6SBtH+nXb+iRrfrmc+YD10tBhk10p53nvcqaiSRSCQSiUQikUgkFjQR8c1vfrNEBOg2AXLhN9xww5KuINXh0EMPLa8/4AEPKF0ragPtpJNOmhCVwPOtU8VSSy01/hqSALbbbrtCFvj92kPejmSAjTbaqLnzzjvL/9WK8FcTDQiQuq1o3QEisMIKK8xiVOYf6q4Wdf2NUetqMV+iRhKJRCKRSCQSiURiwRIRhx12WCEdouXlIYcc0px77rnN2WefXQgD6RVw2223lS4IUhkCv/vd7yYQBCIeRFL89a9/Lc8jpcP3pGQ85SlPKQRCFMKsETUqgkTQdaPbZyI0vk4ZaRMaQWQk5l9Xi34ho0YSiUQikUgkEonEKGLkiAgpE52wzTbbFKIhCIow7tV5CIiY6NZRI6Io4IgjjiiPp556avlbd911F/lstO+M32uTFYiG+AwPPqJE289uOO+880rti8T862rRL2TUSCKRSCQSiUQikRhFjFxfyC222KI555xzipGvdsKqq65aumh4/cILL+zaMSNC1BUk/PKXvzzhdVESiIPll1++PEdogJSN9dZbr0RHtBHfCQOwU2pFfAZ48IO0kC7Cky91RI5/pGvw9iuWmPj/QDZsuummpc6B+8e7z7BeyJEQ7agR3TFEiagJIR0DUYOEMOcQNjlWiUQikUgkEolEYpgwckQEg0tHCxEECvGtv/76hYSIFpltIoDRH6kRq6++ejFqu5EF0jngSU96UqkV8a53vaukZmiZGUBOIDvuc5/7lAgLv/2Xv/yl/NUpGX7X50Q5OAeEQ5wHw9D77QiIICXamKy150JAdLVIdI8a0T1DtEhAJERGjSQSiUQikUgkEolhxMhZuFIcLr/88ubvf/97eV4XnxRhUAPBULcuFL3w3e9+d5HPBCLy4cQTTyxkQrz3y1/+cvwzUU+i7mRx1FFHNTfddNP480jJCEQkRHwnojbqbhyTYbfddmt23nnn8edIj4XQwnNQMEdGOeIio0YSiUQikUgkEonEKGHkiAj1GrbddtsSCaEuRI26HkQn3HjjjeNRD52AZHjYwx5WimHut99+hfTo1nWgzsm/4oorxomRTkBoyOVvR0C0C1Z2a+G5zz77NHvvvfckV5aYKX7yk5+UaII6GsV9kPIwStEEGTWSSCQSiUQikUgkRgUjV6xS2sSLXvSi8daEyAO1Ia699trmggsumPS7IhVe8IIXdH1fnYfvf//7zY9//OOSOnH11Vd37WhRe5uFwdepGeD70aEDAbHJJptMiM6IzwR03egW5VBHXyR6S0Kor7Daaqs1Bx54YImE8ei5172fSCQSiUQikUgkEokFTkQcfPDBxfMb3t+LL764/H/PPfcsZMRk2HXXXZs111yzK6mACPC+qAiILhdqQbTJgzoi4mUve9k4WRDv19EO0jw23njjSc9t6623LnUpEoMBUkgkBIJor732atZZZ51ynzx67vWDDjpoEfIokUgkEolEIpFIJBILjIh45CMf2fzP//xP8+1vf7s8Z+Az+g899NBmq622mvS7j370o5ubb755kdfD2BTZACuttFIhFERQbL/99uNtPTsRDciK5ZZbbpyIqAmI+H8Um4zncvjvf//7T/isVJPE4KCegnQMnSYUE63hudcVQ/W5RCKRSCQSiUQikUgsYCJistSMZZZZZpGUhxo83FdddVXX3z766KMLUXH99dcXgkEhzKc+9anjxSbbkRCgNoRzaEdE1Ljf/e434T1FKm+//fYJnzn++OOnPAaJ2SPqfsQ8aiNe71QfZBiBTJOadMopp5THjORIJBKJRCKRSCQSw4qRIyJ+/vOfd03NWHbZZceN/Zo8CIhECCJB1EO7qwBSgQdceD5yQYvOV7/61eO/ucoqq5ToCM+XXnrp8e9pJdpuGepzWn1CeNwjAsKjKAntRuO3zznnnEWKWSb6B3MBfvvb33Z8P16Pzw0z1LIQwfG2t72t+fCHP1wePc8aF4lEIpFIJBKJRGIYMXJExOMf//ji8Y3ClE972tPK/z/0oQ8V4mD55Zcvxn20yKyh1kPUkRD10PYaIwzWW2+9UrASzjrrrPJapFYI1Vc/ApFQF6dkrCo2GfC+7hzR6jNqTQQh4ff8IT6CnLjrrruaSy65pOM1x/ETvYP2lrpjHH744YtEuXjudak6PjfMyIKbiUQikUgkEolEYtQwckSEAoN1RMSPfvSj8v+3v/3t5fkWW2yxiGEZEDGh/edkaR8+ox2niIcjjjiivP7gBz+4PCI3LrroognfUWBS7YmIfnDsdlvOW265ZQIRIY0DCdFOz6hbSNbYbbfdmuuuu278T3vRxOwgGkaLTmTT+973vkICqQni0XOv77LLLotEzQwTsuBmIpFIJBKJRCKRGEWMHBHBQOwEdRjk80uTqIsP1v/3fqdilQFG6E033dS85jWvKREP0b7zcY973CK/FWDsdQvhr2tCXHnllYuki3SrZdHGPvvs06y88srjf93afCamhyc/+cnNBz/4wVI35I1vfGPz7Gc/uzxKy/C694cZWXAzkUgkEolEIpFIjCJGLuZ/hx12aF73utc1a6yxRumggQhQN+Jd73pXKS4pYoAR9vSnP705+eSTJxj70jIU8wNtOn/zm9+MR0/4jk4W2oP63TpCIdp5doq0UMwSHvjABy7yXh0ZIcoCEXHnnXd2fB+kCnRCFMJM9B7Ihk033bQY64gqhJJ0jGGOhJivBTcTiUQikUgkEonEwsDIRURsttlmzQorrDBef2GttdYq9Rm++93vFsKA8cVwR0JAHZYuyuG4444r///Vr341gVjwf3Uj1GqImg7xOFkURZAUUi2gJj5qL7V6A+0Q+fqz6ltkpMPcAOkgvQd55XEUSIh2wc1OXTNGqeBmIpFIJBKJRCKRWDgYuYgI0Q/IiMAhhxxSHs8888zmzW9+c+lE0Q3PetazSjcLnTba0QiAwHjxi188HrXgs90iIZAMDNZvfetbzUte8pJxIqJGHEMkBC97m4ioz0HKhXoTicR0C27uv//+pThqXWPE6+bvKBTcTCQSiUQikUgkEgsLcxoR8dGPfrTZYIMNSmFIBMLzn//8EqkwGYTRKzIY0QQe5fMfc8wxJTJCwUldJtr1GJAGhx56aOmygQAIkqGG+gAK/V1zzTWFaFCYcvvttx8vVlkDOaF45fHHH9984xvfGCcZ/HZ41INoaBMaOnuoaVFDkcxEYjowz6QGWTMied75zncWYsyj515/ylOeMjIRHolEIpFIJBKJRGJhYE6JiNNOO60Y/2effXZJpWDYP+MZzxhPu+gEHQ2QDl/4whfKc+02tSlkgIlkQEogNqJ9ZxhhiAJe41VWWaU89/82jj766PGUDNEJQtsZegpNtoE0CSLkpS99aXP33XeX57pnBOHwmMc8pjzWrT4j1UOHBuTLqquuOqGzRidk+85EJ5jTp556aql3IrXnE5/4RPPCF76wPJq/XrfGsmtGIpFIJBKJRCKRGCbMqYV70kknTXguYoFxrvNFt44F2hEqDPm2t72tPGeAef6e97xnvHWnLhUiGvw/jDCEwZe//OVJOyEIbUeKSP3wXZEQr371q8cLXNZAhkTUg/9rmwhIFMUuf/3rX5cUEOCdVkiTcYiw8NvOT4eO+tjdoH3nzjvvPP4csZH1JBLRNWOPPfYotVLaBTcvv/zyQvR5PdrdJhKJRCKRSCQSicRcY6hc7RGlMFlxvYiWCIKBsa8+gz9dLwLtug4Ig913371EVHSCyAmkhvagohMQBUgIj6IcJoPvIAZ+9KMfledIiDhm4JxzzimESURHOD/kSHzmjjvuKARKp+4b2nfuvffek55DYuGh7poRBTdrZNeMRCKRSCQSiUQiMYwYmq4ZDPO3vvWtpQbEox/96K6fk3bBmI+Ckh4Z8x5vv/32SY+x+uqrF9KgExAbohV4mEVEIDZER0zWVjPgOzzSna4poCNHu81iu2Bmt6iIbN+ZWFzXjE7IrhmJRCKRSCQSiURiGDE0RIQQ8l/+8pfNkUceOenn1F2oayZEUUoeYSkdk+HGG29sPvOZz0xom1n/H8kBP/7xjwtJsNJKK5XnbQKhRpyL326jLhL4+9//fpFaEXV7z0Ripl0zDj/88EUigDz3enbNSCQSiUQikUgkEsOGoUjNeNOb3tSccMIJzU9+8pNx478bttxyy5KeIf9dOgMiQmHKhz3sYc2KK6446Xelboh8iJQI9SgUjgyIgmDYBbkQBSQ7teYM+B3fkYffRl0kECnRjnhoG4+dOnkkEt1gTukgo1irlKNXvOIVhTQTCYGEEP2jeGt2zUgkEolEIjFd0H+vvfbaCa/pLFc/1lAQXsH3RCKRGHoighH/5je/ufnOd75Tqv9PFnkQ0AVg6623bi655JLyXPcJkQW6WCgKubjUDMdAWFx33XXjaR21wN1kk01KZEVdvyE6cED9epANq622WjmvNurP6mAwWUFK6FQfIpGYDIqvIhs++9nPlqiigEgIr09WnDWRSCQSiUSiG5AQO+20U8f3OtUu09FOwfZEIpEYeiKC4fT1r3+9OfbYY0taRBjqIgOWWGKJjt9hXF199dWlzafv+awil0gGdRqWXXbZ5o9//OM4EYCkiMiEzTffvHiHo/hkO1Vi/fXXbzbeeOMSERF1JyB+D7zu+/LukRmA/W2TIN4X8fDnP/+5PBex0a4Jscwyy5Rz97qOGt2uOZGYDMgGtVXaXTMyEiKxUEHm53pIJBKJ2UGEA3JhOp9PJBKJkSAitOKEpz71qRNeP+SQQ5rtt9++/N8j4kHEBCAHdtlll9JhIiINzj333NKxwutaeB5xxBHlPQZ+nR6x8sorF4Mfw6s1Z6ReBKLrhnoPyAWRER/4wAcK6VFDakh07wBtQdtodyoQuaErB3JChAWCJEgKWGeddbqOU10TI5HohE5dMxKJhQgpfiKE6gg06XPSmDJCKJFIJKYOunBGOCQSiX5hTqslIgo6/QUJAfLda6LiqKOOKsZ8EBPSKURTRE7ahRde2Cy//PKLHEt0BCXU95ACSIgodBm46KKLSucM0QsiLJANbZIkSIHauxZFA9ufi+KX4HgiIKIuRLs+xGQdP3bbbbcSfRF/l156adfPJhKJxEImIdRMkS534IEHNieeeGJ59Nzr3k8MDhwBF1xwQXPKKaeUx9oxkEgkEolEYmFjqF3t0hauvPLK5rvf/W7XKIooEokIuOqqq0oRy3YKBHiNh+zMM88cf62u/RBRDDfccEOJTvj4xz/ePOc5zynRGPe73/0WaaVZK1RICy1HgxyJz9WpH66Dx/qkk07qeK3eR4KImmhjn3326ZiLl0gkEvOt4NlMi52RySIh1PnZa6+9xrsSkeeeK+hq/5DGlGka/UdGpiQSiUQikRhZIkL9h+uvv37Ca0972tNKKoaOGbDccss1H/rQh5pnP/vZ47Ud2qCQikA44IADJu2AEWkhr3nNawoJ4XuU1k7RCnUhSkTEIx7xiEl/V0SE1qPdiAi/pQBnp/D6ID8S/UHmkycSw1PwbKbFzqxhRu8ee+yxSGtkz3WVUZfI5zKNaTCRKUgh96Pu5uP1LKSbSCQSiURiqImITuDVQkYEtN9UG2K77bZrDj300HHSoUY8F1mBtDjmmGM6/rZikRRVhIDfEc67xhprdPxsXQRTXYorrrhi0vNGkrSLY7Y7cCyuq0ai90ivXSIxXAXPZlrsLOrydOu+FK+36/ckeouMTEkkEolEIjH0NSJmgt13370oL9Fhgmfrpz/96XjKRju1ofaMiYaIThedIPLgIQ95SMkrRhDUBSTjd0JxqlMz1H6IFJEgGOrvRPeOyy67bMLxOkVvJAaHzCdPJAZb8GwqfzPtQS+aCXjeOyFej88l+oOITBGB0i0y5fe///2EPTORSCQSicTCw8gREeecc04hAaK1pgJYT3rSk5rDDjusPN9ggw0mfL6OjvB/3TK6Qc0IhSq33XbbQhJoDxp1H97ylreUx27FtuoUkiAY4tie87Ivrshku+BlYnBeO6TTkksuOe618zpyK4urJRKjgSgaLPy/U1Sc1x/60IeWzyX6h4xMSSQSiUQiMS+JiLq7BkjHgLXXXrs8Ig+6QevOqC0RUQs1RFN8//vfL+07dbzQVWO99dYr70nX6AYFLnXiqCFy4oEPfOD4c4ZtXZ9CqsaKK644oRDmox71qCmMQKIXSK9dIjG/QOZKqTrrrLNK+D+ZTS579Nzr0vgyHaC/yMiURCKRSCQS85KIaCMIgFBqPvaxj42/h0ioW3RKoQgCApFBIUU4eB2EBK+55prNVlttVZ6/4AUvKGSCjhYnn3zyhOPWRIYojWWXXbb83296D9Gg/WfA74YCHHUspIJIA4jvIUo6IVqGJnqH9NolEvMP6roohKiDkno/ihh7ZPxmgcTBICNTEolEIpFITAUjb+EefPDBpeiV9pnwxS9+sWt7zltvvbV0uAgIu68LSEZ3Ch40KRoiI7bffvvxtIwgBXyuLjQpIiIiMiKU/6677ppwbN73qF9BGfN9v+8P2l75Grvttluz8847jz93zhk90TuvXV0LJJBeu0RiNIFssCdkJ5y5jUxRZ0ckiuiyumuGyBSkUN6PRCKRSCQWNkaOiJBaUXeo4Pk64ogjSns4CmekXnTrnoFg6IaInmCYPu5xj2uOPPLIQkSsvPLKi5AV7UKTt9122yK/1z6HICI6ndtkStk+++yzSIu7RO+8dnVld0ivXSIx2iBPs0Xn3EemqMMjIiVApmZkSiKRSCQSiZEkIkRAvPWtb50Q5fDMZz6ztO9UXPD+979/c8sttyxi6NeV29uI6IY6NeIrX/lKSdt49atf3Vx99dWTtu9cYYUVmp/97GeTnjejN1I1Op1bpId0QpAfid4hvXaJXkDdFyRojWuuuWbCY7s15Uy7QiQSo4SMTEkkEolEIjGviIg11lijWX/99UskBBLiO9/5TvP85z9//H0GJLKhTp0IIBY6tWRsd7m46KKLyqPfQTgoWthG3U1ho402KufRRvyedA61JupilW1kx4zBI712idkCCbHTTjt1fK9TFNMXvvCFjmRoIjEfkZEpiUQikUgk5g0RccIJJ5TUDN0xnvrUpxYyQv2FBzzgAc0SSywxbtC3SYggDy677LKuvx3h+aeffnpJo4hIhOuuu67rdxAeIiL++Mc/dv2MKI3FRTZkzYe5QXrtFhbIgF7eaxEOyIXpfD6RSCQSiUQikVjoGDkiQvoFICFghx12KI+HHHJIqeew1FJLdf2uwpAPfvCDu75/0003lcdXvvKVpUClyIhTTz21kBw1YYDMCKIjumfUERJt1EUqu0Erz8TcIL12CwOioUS/IC4DiEspOjONfumW7pVIJBKJRCKRSCTmERFRRzogAdqpGR//+MdLZwxRDHffffe4oYko8LjFFltM6H5RQ0QFXH/99c2SSy7Z3Hnnnc166603gdy49NJLx4/tXIKIkHoBvud3br/99lL8UnvRuo0nIDakaSAmorNHHDuRWCgYZH0FJIR6IJtsskmzxx57TKgH4vVMxUkkEolEIpFIJAaHkSMiGBT77rtvc95555Xn55xzzjgR4TV52dH9IhDRCmuuuWYx+JdffvkSmt0tKkHXDMUjN95443GCoV1zIv4fhlFEOyAe/HVqHxqkBRLE99WsiPP485//3PWafT6RmG8YVH0F618kBBKi7pBinXuuWKlIKyk6mZKTSCQSiUQikUj0HyNn4Z599tnN5ZdfPl748de//vX4ez/96U8XiT6o8cIXvrCEZYuUaJMEsO2224634lSg8lWvelV5jlhgoHSq8RBEhU4d3RARFWEAIR8QEepbBDoRI4Hddtut2Xnnncef/+Uvf8maEomRx6DqK6gJYd2LhKjbtILnOqYoVupzmaKTSCQSiUQikUj0H/ceRS+qtIcgItRw+N73vtc861nPap7znOeUiAmEBCOfJ7SOZPjlL3/Z7LjjjuX7neA3QESF795www3lueKY3QpNimqAuo4E1Mdde+21J0RNdCqkueyyy3a95n322aejhziRGGUMqr5CkHzSMTohXp+MDEwkEolEIpFIJBK9w0T34AiAwb7ccsuNp0SIVHje857X/PCHPxwnJ7T4DGM/HnWuuPjii0s0RKfCkiuttFLz1a9+tfwfsQEXXnjheNRDpFW08bCHPaw8tj2pNdkQnwkyI1JH6s9oGdkNk3XbaMMYiBKp/+q8+/Z7k7UUTSTmA3THADUhOiFej88lEolEIpFIJBKJ/mLkIiKkTFxyySXjz2+++ebyqODcGWecUVIWjjnmmEWiDkRBbLTRRl1TN/xORCwgOYRsqxMBP/jBDzpGMQRpgdhQ4LIbgviI34+0kDpqoldG0KDy7hOJUYEWnbpjKExZ14iINel1RKDPJRKJRCKRSCQSif5j5IgIhSlFRKy//vrNNtts0zziEY8oxvcXv/jFYlRIY+hGGiAYvv71r5f/M0bqdpp33XVX86QnPan8/3GPe1x5L4pXBiHRCa9//etLVIbaFd3Qjs4IAqI+z8naig5j3n0iMSqwPrXoRFYqTKkmRN0146yzzipdM4a1UOUgu4skEolEIpFIJBKDwMgREeo4SKNQAR+uuuqq5vjjjy+REKecckqJNrjvfe9biIU2kA/f//73y/9rEiKw3377lQKVZ5555oQClJOlL0QdickiIq6++uoJzzsRJVH0clTy7hOJUYLWnMgG3TMUpgyIhBj21p0Z5ZRIJBKJRCKRmG8YOSIi2nCq36AWhJDr7bbbrjnttNPGSYFvf/vbpWjlxz/+8WbdddcttSFg1113LakUUfuhjSAvGPOiFu64444J6R/7779/c8ABB0zo1BHHjO/yqvpbYYUVSptQ7UWlk9RQ2BK5gTCJwpmdiJNAtu9MJGYPZIMWnbpjKEwpHUo6xrBGQgQyyimRSCQSiUQiMd8wpxbuQQcdVP4iYmCdddZp9txzz/HuFW2IduC9/MpXvtLcdNNN5bX73Oc+JUKCZ/DVr351eY3HM0KWr7zyyvKIWHjqU59awrCjeKW2nHUhSMRGFJdk/O+www7leRgqH/3oR8dJBcdV+FIrTYi8c5ENSAbnF1ES7eKYfltURE0wIEe23HLLjted7TtHDxlOP5ywlketRWdGOSUSiUQikUgk5hvmlIhACjDYpEmIDuCl1AGDUY6UaEN+98EHHzyeMgFIDH833nhjeT9eCyAbYIkllihkhAgKj51aeNbKfhSUhNVXX7081pENSAgIIkKUg///8Y9/XOR3o0tGwLH9ft0uMAiTTsj2naOHDKdPJBKJxFwgifBEIpFIjALmlIgQNfDe97632WCDDUpkgv9fccUVJc2iExGhvWZd8b6GVAh/dSeKGnfeeWfZnB/96Ed3LWapcN0nPvGJZskllyzPL7jggvK41FJLdb2GSNtwvt3qRATpIQLCddYkR6CtNMy0fWdiOJDh9MMJ0UmjlpqRSCS6G9lpYC+KJMITiUQiMQqYUyLipJNOmmAgbL311s2JJ57Y3O9+9+v4eXUURB1EaoPvRPcLCse5557blWTwuraekxn1f/jDH5rPf/7z41EUQUB4vRv8no4Za6+99nghzE6/K4JC1Ee345933nldj5EYPWQ4/fBB3RjFKuv1LEJKR41hLlbZb6T3NDEfjOw0sP8/kghPJBKJxChgzqsgKiSpAwZlWPpEtM/sBDUUjjrqqAk1F6L7xQknnNB88pOfHH+dlzM+p56DKASGSBABCAx/PoMgiM4YSy+99HjthuhkEZER3XDGGWc0yy677PhzURkRVfHXv/61PF5yySUlfSOeO7bf55lFktRpGolEorew9rXvJGv22GOPCe07vT7snTP6ifSeLhzMh2iC6RjZC9XATiI8kUgkEqOAew9LB4xbb721ednLXlYUpW7pF5/+9KebI488suN77XSHmqwQrXDRRRc1l19+efP4xz9+nMDwt+KKKxYSwftw2223jRfCjFSLzTffvHTggEj98BgEhnSSlVdeefy9qAkhsiOIB90zdNGILhuu0eeRLyIwnIv0kSBjEom5xnzxlJMFIiGQEHvttde4fJFO5bnaMorm6qixENM00nu6cDAfognSyE4kEolEYn5gzokI0QqPeMQjml122aVEK2y00UaFcJAi0cZyyy1XohW++MUvFnJAWDWF5LrrrmuWWWaZQihEqsa73/3uQh5sttlm450yHMv39t133/Jc1ILCl1FwMggEHTXgN7/5TXlcbbXVxs8hUj88RhQFQsJx4z3f//Of/zyBDIkCnBFd4T2FLZERicQwYr54ytWEkI4hEqJNcnr+ile8onTa8blR66jRC6Rht3CQ0QSJRCKRSCSGBXNORMCb3vSmklohfHrHHXcstSC6AfkgekIkw+tf//piLD3mMY8pNRgQDYpRMihWXXXV8vkDDjigvA8iEhAdYfyLWLjjjjvGCQOPft/v+Iz3QBi3NArH9Yf0eMITnjBOcDiX9ddff/wcERtagDruN7/5zfIacsR3vva1rxUCxLEYAP4f3Ti6RUPUbT4TiUFhvnjKI+3JOu6EeD3ToxLzHUk6JRKJRCKRGBZ0zoEYEN7znvc022yzTTHWhUYzek499dTioewE6Q1SII4//vjyva985Svj7TiFXcPuu+9eHnXeuPTSS5sXvehF43UhdNVQp8Gf6AURCaIaIn0CWfDTn/60kAiM/x122KG87vd33XXX8v+Pfexjzfnnn1/yy4MgYIA97WlPGycSFMU89NBDS7qH1JNoAfryl7+8/JbjKE4p6kMqiO91S0cBnlyfiz8RIInEoIyWqf4NY1oG6I4B1mwnxOvxuUQikUgkEolEIjGPiYhjjz22GO3SI7bffvvm9NNPb4444ojmiU98Ynnfa0996lPHP480ULfhRz/6UfmenO6XvOQlJe1BVAW89KUvbZ73vOeVopZSIaRXBBmAvIjikggMqFMjtthii0KOBOo8+D333LNEPeyzzz6lzgRCIH7jGc94Rnncaqutxh8V1uRpjd9gqCFAXJvrWG+99Zq3vOUt5ZhqQ0RaSCdI/ZDuUf8lEompQYtOa1VhyihuG/Dc6w996EPL5xKJRCKRSCQSicQ8JyIUjxSZIGIBGYGIQCR84xvfGPdUqrUQZMRTnvKUYuRLZ5AOIXpBSseXv/zlEnEAV155Zem6oUBlFI9EBmywwQblDx71qEeVLhbbbrtteT8K1PmdhzzkIYVA8NqHPvShEtkAWnSKrhBV4Xeds6KWL37xi8e7a7zrXe8a96x6X+qGlBGflxISERV+W5qINA+RG96v61AkEonewXrTotN6VJjS2lcg1qPnXlejZiEWqkwkEolEIpFIJBYcEYEE6PQnEkLEAVJBHYc6KkIKByNCZIROGb/+9a+bV73qVePkhfoOUh4uu+yyYlhI5fB7vJ4iDwLIAkSD433kIx8przkW/PjHPy4RCxDpF1InFL/U9cJr0jfe8Y53lMKXyAbYcMMNS5SG4/C0imRwHOQKAgNEaCiM5zzjfBERQWIkEoneQ2tOLTqvuuqqsv6e/exnl0dk50Ju3ZlIJBKJRCKRSMwF7jEWrR6GEMgI6RUiJ4IkmAq6daI45JBDCikReO9731uKR1599dWL1GhQE2L//fdvdtttt0JA+Ey3YneIiyBLFLyTJqKOhd984QtfWH4nzl9dC78nSgOhsdZaaxUSQrTFVHH77beXNA/jk2kaicTUoUisYrbWKZJQOkZGQiQSiUQikUgkEoO1Q4eaiJhLvPWtb20OPPDA5uSTT54QkTEMSCIikUgkEolEIpFIJBKjaodmX8guUERSGsWwkRCJRCKRSCQSiUQikUiMMjIiYgSRERGJRCKRSCQSiUQikRhVO3ROi1UmEolEIpFIJBKJRCKRWFhIIiKRSCQSiUQikUgkEonEwJBERCKRSCQSiUQikUgkEomBIYmIRCKRSCQSiUQikUgkEgNDEhGJRCKRSCQSiUQikUgkBoYkIhKJRCKRSCQSiUQikUgMDElEJBKJRCKRSCQSiUQikRgYkohIJBKJRCKRSCQSiUQiMTAkEZFIJBKJRCKRSCQSiURiYEgiIpFIJBKJRCKRSCQSicTAkEREIpFIJBKJRCKRSCQSiYHh3oM7VKJXGBsbK4+33377XJ9KIpFIJBKJRCKRSCQWAG7/f/Zn2KOzQRIRI4i//OUv5XHllVee61NJJBKJRCKRSCQSicQCs0cf8IAHzOo37jHWCzojMVD8+9//bm644YZm6aWXbu5xj3tMiblCWlx33XXN/e9//56fT79/fxDHyGsYjmPkNQzHMfIahuMYo/77gzhGXsNwHCOvYTiOkdcwHMfIaxiOY4z67w/rNaAOkBArrLBCc897zq7KQ0ZEjCDc9JVWWmna3zPB+rVQBvH7gzhGXsNwHCOvYTiOkdcwHMcY9d8fxDHyGobjGHkNw3GMvIbhOEZew3AcY9R/fxivYbaREIEsVplIJBKJRCKRSCQSiURiYEgiIpFIJBKJRCKRSCQSicTAkETEAsB973vf5v3vf395HMXfH8Qx8hqG4xh5DcNxjLyG4TjGqP/+II6R1zAcx8hrGI5j5DUMxzHyGobjGKP++/PlGiZDFqtMJBKJRCKRSCQSiUQiMTBkREQikUgkEolEIpFIJBKJgSGJiEQikUgkEolEIpFIJBIDQxIRiUQikUgkEolEIpFIJAaGJCISiUQikUgkEolEIpFIDAxJRCTmFdRezfqriUQiMX8wjDL9rrvumutTSCQSiURipJFERGJe4R//+Edzj3vcY9a/s//++zff/va3m/mEu+++e2iV+mFAjsvMceONNzajin//+9/j/7/tttvm9FwSE/HVr361ue6663oi03uJT3/6082WW27Z3HrrrXN9KiOJf/3rX0Oz5hOJUdBLZrtmejXnU09K9BpJRCRGAvvuu29z9dVXT/qZT37yk83Tn/70IihnKnR979prr23OO++8Zt111503Apgy/6IXvai56qqrhk6pn0m0y9///veOn5nJff/6179evmdcRvke9xIxDnfeeWch99qv19h6662bo48+uhlV3POe/3cbfN/73tfsueee5ZpHFfNp/p555pnN1772tQlrepDXN9mxNt100+YXv/hFs+OOO84pGTHM9zvuWztK8clPfnIh+geJOL59nTyLNZ9IdEM3XWKQJJZ5Sy/56U9/2hx++OHNDTfcMOPfijl//PHHN9dff/20v29fdO133HFHM5cYZpmXmBlSGieGHscee2xRIFZeeeVJhdOGG27YHHzwwRMMypmwyKusskpzwAEHNGussUZz9tlnN9/4xjfK66NqwMO5555b/k477bSRFOZxvu7Bj3/84+Ytb3lLc8stt3TcbJEuf/jDH8rzY445pnnnO9/Z9Xdt7K9//eubzTbbbHzTH7Wx6TViHE444YTm2c9+drPVVls1e+yxR9c18NKXvrTZaaedyv9vv/32np5LP5W++rdPPPHEQqa86lWvapZYYolmrjHVORifC8WylzIqfvuyyy4rBOagvchPeMITCkm46qqrNhdddFFzzTXXDGx9xhogMw899NDmIx/5SHPllVeOK+GPf/zjixw644wzmu23337OyIi43yHvhgXmCln829/+ttlvv/2aHXbYYfwcyZI3vOEN458b1DiddNJJzeabb17u22wRc7DXc7FX3u/pHq/9/7lAp7nQiYS8+OKLi07GoDa/+nUuYbgfd9xxRQYcdNBB5fmgSKyQQSJzn/Oc5xRH3N/+9rdZXRM5znFw/vnnT+u79oDtttuuELAef/KTnzRzBWNy8sknF2Lmn//8ZzNMmKv19O9J5Gi/ZFRPf3sskWjh3//+d3m88MILx0466aSxQw45ZOyvf/3r2L/+9a85O6c49oknnjj2y1/+ctLPnnXWWWP//d//PXb77beX5//85z+ndIyDDz547NnPfvbY3XffXZ7fcsstYy960YvGHvvYx44dffTRY3N9P+Kx/fpU8cpXvnLsYQ972Nhf/vKX8nwu7+d04DrjWr/xjW+M3eMe9xi75z3vOXbZZZct8tm77rqr3K8NN9xw7POf/3z57Ne//vVJf/vMM88ce/jDHz622WabjY/JdMd2JhjEMWZ6Pj/5yU/GllhiibE3velNY69//evH7ne/+4295CUvGV8b7c/Dpz71qbG3vOUtY9dcc01Pzqeen6eeeurY4YcfPvajH/1o7KqrrhrrJb75zW+Ove1tbxvbfffdpyUv+oV6XL/4xS8W+TvZ54477rixJz3pSWNf+tKXen4O3/nOd8ZWXnnlsQMOOGDspptuGhsU6nvw+9//vqzn5z//+eNzaxBrh8y///3vP7bRRhuNrbLKKmPLL7/82F577TV2/fXXjx//ggsuGFtuueXGnve854396U9/GpsL7L///mPbbbfd0MiUWLe/+MUvxh71qEeN7brrrmP/8z//M/7+P/7xj/K49957j+28884TZEqvEeNx3XXXje20005lHvfqN08//fSxb3/722N/+MMfZv2b9e/+4Ac/GHvjG984tsUWW4wdeuihY7/5zW968vudjnXbbbeVPTPW21zNn1rW/+pXvyo6Xi1v4ry+9a1vFXn06Ec/uqzLxzzmMWM///nPe3ou9Ri8+93vLmuf/FljjTXKMXu9/0yG0047bWyZZZZZZA/429/+NuPftOae9rSnjf3xj3+c0ufZAQ94wAPK9+gD9Ctj4T7NFcgUut0RRxwx0P065oa5aR78/e9/H9dP/d16663l3ni9/vyg1s5hhx029uEPf3js7W9/+9hPf/rTsrZHQWYkEZGYgJhUlPMVVlhh7AlPeEIx0igURx555LgSMejzgfPPP78Y0q973esWEYKxGCmqyIrYqMLoXpyw8v6nP/3psfXWW2/sVa961bhyRNl42cteVhR9RvCgEdfPENttt93GPvGJT5SNof1+JxCItSCy8ay22mpjL3/5y8dGCXGNDAMEBINr4403Hvv+978/4f3AHXfcMfaQhzxk7D//8z/H/vd//3exvxvkFYVjm222GYhSFr+NBNl3333LeuuHwjkTOI/vfe975bzAeNjUGFyIuW4ygEFk3N/3vvf1jIwA854MetzjHje2ySabjD3+8Y8vClovcOeddxZZQanZeuutx18fBoX8Zz/72dhWW21V5DCyoRMYQjHP28TcbK/hu9/97thSSy01duCBB3Y0tnpNZMbv1YZpyLrPfe5zhSgku66++uq+36NLL710bMUVVxwn4WGPPfYohs9HP/rRCYaAfWnZZZedMzLCvvwf//EfhRSZa8Q9MRcf+MAHjr33ve+dMFZf/epXi3FtTP3fumPs9ZOMOPfccwuJRX6Qt7OZu7V+xEAk66644oqenSviz5pj8L3mNa8p+teLX/zisYsvvrhnx4hroCc9/elPLzL1yU9+8ti1117bs2PM5Hxija211lpjj3jEIwrx9/GPf3z8vJDQD3rQg8YOOuig8vyEE04Yu/e97132HHpar/HJT35y7KEPfeg40RHzdf311++bEd6WafZgzjGwjn74wx8WGUgnZXROhvYcj33bnmHPI7cWpxuTg/e9733HPvKRj0w4J3oYwmwu8Y53vKOcG0fTIMiIuDfHHHNM0UHMz80337zo5IgH++VTnvKUsQ022KD8dXKU9RPvete7yjm94Q1vKETT2muvPfaBD3ygJ/tkv2VGEhGJRXDOOecUxYrCAL/73e+KAP7MZz4z0PPotIB4NCxy7Ozll18+4b2jjjpq7IlPfOLYRRddNPbjH/+4CAvKx1TJCMoRI9cis/mHcnT22WcXb3CbjBiUsWLx23BtSJhpwq9myDudx5VXXllYfBtICAvXw1i0CVF4Rgk2G3Pwy1/+cnnOK9Ip0sE1Ilx81lgRyDfccMNio2x4yygYvvesZz1rIJERNrQll1yyGDeMTUaneTtI2Kisl9r7bHNvKx+AZblmGgAAegRJREFUjCAXtt122zJmYWDsueeeZV4BGcGAY4D0goywHv/rv/5r7IwzzijPsf3Ozdj1Cn/+85/HnvnMZxaSkwyZa+8gGD/z0PzllUcgMjhr8PIiTj/72c+OK5ruCRJpqt6ubvA75A3lJp6TIwgPMrBfBjcvk3th7N2LpZdeenx+inAigwdBRjBszAcGRx2RxrNvDXzlK18ZO/nkk8d+/etfl/fOO++8gURG1Nfr/+SUyD2y40Mf+tBQRLrZR43DDjvsMP6ac3J+5Ot97nOfsn+ZU8hle9s73/nOvpERCD06A7Im5NRs5g79iEFsLwrPZy/AMLTOI7KJ59Eetvrqq5fxXFwk6OJQz4tjjz22RLkx/BmmDChebjJ+rvCxj32skAqMbdFv5IC1Zv1zLogSQfyETspxYC8yNj4328iIWj8kP+kEIXPtN+QwI9x+TbfsBxkRcxLp4u/9739/OZa5hkyzzu0J22+//diaa645JecFh007igPB9ZznPGex6xj5i4ypv+8eWMf0A0TFb3/7247X0Gt0kqtvfetbx8mIQThJkQ3WzT777FOufccddyz7xAte8ILy+gc/+MFCkNm7V1pppYGRNcccc8zYqquuOr4GrGlytZeR3P2UGUlEJBYB5ve5z31u+T9Wjzfyta997fj7Ydj3E/WmaROqhQwyQngYMiJYR8YEoSmqIYShKAIKyFTIiPh94aSEP28OIdOJjBhEmkYIc2HAvCM8gmDjQZJgI6WStD8fYCwQRJtuuunYIx/5yGI4hjA3Jry/3VI+hg281gyi+nptpGGABShuAcr5jTfeWJQVArMbGWGjoBgzoG0gvCBYZaxvP8kIipT5G0qnY9vMXBcFZBAwt9sKrvVhU0cmUPLaQAjI6LM+1l133aIcUgRqb6w1GGTEbBlz7H4Yw8gzhimDNBQl4zgTmVKn+8S6QGIaf/dikCk6bVA6bfiMYelloj94wCiejPMATywlyPvOV6i786cwU4JmE2ET8pQspHBR+KyJBz/4wYWwE/pJZvZ6fJBXSLmIUgkyPFCTEb1O06jnBHnJuAklO6IieMJ5A8kVUVm8t5RTsAYYUqKqyJ9+ItIOA9YacpasjGuZK9x8881lXL72ta+V5+amOcrTT9698IUvLDJD2pG9nbHXbzJCRIH5bD+kUAdmMk72Hfuvcw85MdsIC5GLIjekwXnNvENK2COsAcSH/SG82NNB2wjlpKADhK5ExyBHEL7mvLS8QQOhw8i2vs1ta+xe97pXIcqBrKGDMXrs82QQoiD2hUjXjIiX2YAOGDIAMR8EUaT1mMOORwb0I4qEM8LvI2TIXo4nsl/6FfITTjnllEJQOL/JYA+RpmxP4Ln3myDlmsMtxqu9DvyuMbc2HZ9MQ84g8jhPzMVddtml/DZ5bX8QvdIv0PPtiZ10IzqI98jmXqYitEHXsPeEPmKPtM+us846JY3V/mgecxCwmchj4x6Ru/3EQQcdVMgPcM8cN/Rjcsocns2e0G+ZkUREYhFgPBkoFrXFRODHRisni8I7KK8LlpyBQHmJRVCTEYQhAxVJgDGuN13nGJER0jTaylsbjHeClQEmNJCxReGtyQgGAQNsEBEFFBMC37nXbD8DwzlShiJCoA0bCY+C8DUKoftIgPLcYfIpgkFujALaCipv7Zvf/ObyfwJWuLQxMT+xw2EYGysCkxIaRut+++1XwoHBBmpu1YY4AotBQTHqh3fcPeCNQJDUXhWbbJARg4qMiOui2ISSa6xtZkL+1Xxog/KCEeetswGHMlOHYFurNmmyZKo5tZ3GmCL+hS98oWzmlI0Iy3VfKOjW/lSUj1peOTdhz9aPdRwGLUWLoeKPcTlXnmX5r+ZeDet/yy23LF4P3mTXzOgkpxGNvFbIRevAdfBUWPszmZsB8oKSYdyl5IgCMDcQtORtvyAVhCJO+Q6ZXd8Lxor1bA31whDotrbJeYpn7Qk355Fs5o3IE+cpIihA7jCI7Bv9mj/uPxLk+OOPn5BHz1MbHuO5hDEQfUCOBijtIiSQvMbQ3orQZBABeYMQloY1GzIi7qVUItEqHBDxeyIjzBsKu7Frf2c65ChDOFDfZ6QuAnw6kHZFJiFDRfr4PXsSwzP2H/fb2JlX04nCEL5PzpmrtaHNwCc/7IlkhXRXxxdFKaS732R4e8zJLHKM4c2oYeyaJ4w784mRG04nxjgjOkhCehl5aa9qR8lOBfQF+0zI3mc84xnjhB7QkxjjCLaYq/RO3+l1SoD7b18T+RdgSDL8aojMote2I986yRxOGPWbyDKECvntGhjLnVJX/abfDhKY3BeFweBGJtoj4v45X8Se8UE+9jIlM46BfHIcDjiGb6Rlxvv2AIY3WYyM6BfsuXRM84PeZt2YByJ2zF0Rca9+9avL6xy3ZA8dzzgHWd1r/PP/zT+ROuQFR5H9unbS0f/tUWTwTEGu9VNmJBGxgNFtA7awTDRGhoVWf5awp5QuzqifKWpBSkjyBFhElGyTPYzPUFgJTMoFw5ryE4p0nG94YxALT33qUxfxhAYIFsan34xiM5R6ZEdNRmCYGTERGtxvIgIL6T4wxtoM5Ste8YpCnIhg6VTAyLna0Cke7ikvpt9joDDA1f0YhrziNuL+UEoos8iEeC2UMPdELQ8wPyi1NgIKij/3O8bFWHluEzaPGNgRckk5NiY1wrtsY7OR9NqgEHFAkaVoUaJqEOY2XPemH56peu5HFJDNTGE05xM5+V5D6tRkRK10UfikBTAWjV9Eo9RKsigTYzgVwqs+r3pOMqwoP/5q0o3HmZJaK2xTwXve854yT4QXuvcUCOshQuz9LsWd/It0kH6i09xCvorianu7KIbmuXsSctkaQcryVFGUYxzN88nqo3QCBRTx4PoDPGjhRYv779gK31LM+uF5R4rx3pH31jIPU318QEiZs20FfbqI87fWzA2GCKMQERhFbBHhZKioA+fEICRbeUQZpYE4F5/tZdh2vZeFYUAJVKMAIUtBtP6sU3JxkMXb4pzqdc9gRCpEjRnnz3gk88wl9xOBZm+y9kJBFu1DXsy0oGRdYBUp4z4xvsjykE/2VPqCiE+FD2cCxAFZWX/fsRke9JOIPpzKuZor9neEQYwl5V5EUMg7v2uvJxemEwEGdB9riDyoyYiIlhKBgfwO3cH8cQ/slbMpiDhVmVcbro5tjhgPZBsDk6x2D70e42FfQvZdcskl5bl1yUE0k0hdeh1iU6Qdg4pBS6bWQI5x5IiKUozQ3I00KOjVekMYROpSTW7WsI6sGfNvMt3NvLJ/BXkCHALkFscWItmx6LwxjvWY0Hvr1A2pMr6HpK8j7UKHsL76YROQF+QEssh5OW9ReXWNKPPEnkS/bd+7Xs5Za1YELV2BzEVoRrqIYtd0BvsFB2BE0LEV2CXmD0KpF+fRCfR788Y9rdPHrWHnE5FWs0E/ZUYSEQsQMVliUhNENk8GG8FiwVhYJlbkVFIeCHyKaltw9Qq1QKcYIgJi86QkUxAtdKFYAUy5xe7zhDPGsr0huU4CeDLPLIMX21oLWcJVlXSbk6iQ8LzWbHm/QcAgUChPtRcHCETGFFKEd4Bw4O2vwVDzuvEzLjYnxiPBSHi4vrnuEtAJ0l94eW06NkUegDo9hyKAAbZhE8DufbDAjHnXFl0QwCZJgFLWfQ7BxcNp3jNG2/UmCHMGGYOwnQPZC9hYKT48Ce1wW95/JEuvjxsbUR02bt0I8Tc3Iq8xFBzrhtJHSfNehIVi+3lVrA9EStRiCWW/3vCkOSxuftWbq40eucbYCvAO8qBSMijilFfRAcZvOnmhPAPkR5CVZIJ5QoFgQJB/wMvcD29XG/U41RFW5ob1icih+AaMP4OCR54RijRte48ZdUgWCvx0jWFj6X75fePbBjljD7DWZpuv3m0c6rlg/rs3DKk6tSqihXql+DIojSeFyr6H7CF3rAtFbBFtFHYyw1rgAbRO6khB94asnY3XqRPq8Yh9rfYU2v+ivgzDwXyu03cGAcQDYqQOi0dUWbNkG9mK+CaP49xF2zhvhKt9PcaN4TGbXO/I4UaCmK+IImvJ+o61JDLCnoLwncx4jXM1z2ojwu9GmmaMNZkqjYkOEXJkcUCK2OcYuvXxRFTYe+xX5p/1LDpnul1rYu6Qd/QH4fU1GUGfsf/Iaw9IA2XkLS7kvxfzme7hHoS3WJRdRCGFIUfO2N+tz5A59gD7kdc4CpDUkU4x03MyDtZOXcg75qHjiUSj+3JoIIn6lULEQULG2PPa8s38VRvCvayv1zjG3gwMcueLsCa76Mf1uBtb88p6JNMi5dV+F5+zDu0hdS0m69ix6ZNhA4SB3g8gGMiNWqd1jtYe2WLtGQfz13n1o0ME2UbH8eiaGfXWOjLK2IVDy76hboTIkVrvJHfoo9ONkuqEepwRQ3Rg8iPIPOS8tUAOSUWzP9jHOYxiLk/lXsVn/C5ZV6c890tmJBGxwMDbQGGKTU0oE8WS4DKJCTVGKyFgIyR8KaY2bkWTZpKjuDgwKOuNHilASeHRYCwGCABePgSJc4vvxMIhjF0DwRsbWTe0FyQPL6W3HdplETJeRFz0s0Va/CYliRFGqAUpgozoFFIKsSG6L953ryikvkNoMEZ4fxiUAWNDWEkBmEko4yDqYmDe5WLaaHgqGZ1Y7zBChBqGdxg7Hew9wclTGR5jYFDEbzNuzA9GXHzepk+RJ9xjc5W6gbSYLelUG/+8E7VQd0949W1qdScUWNz8nSmELPMkGz9znfIVSoz15D2Ke5ARNn4eIzncUcGdAlhHTrgnUSk6rs9akQMe6GbU1woSxYJBQ8lgoERVcBsi5ZRxaH47jlDlmPvdfrtepz5j0448Voa/66CE8TTywvGGtw3sfpER9XVbg7wmkfMchppxUBCMIkQZNkcRcuaN+yZUVpREjANPrdBQRvJU5HQnOUZhES7P8I5q7eAeU/pFBPQyiirOAUGqPgujrPZqWZ+IQvebskMWmAezjYSof59xEYS7cbYfUvghyGuklXkSbTztPzUQV+RKL7xeneaIsSEnkNLucU0mOibS3vHNCymKDPt+14nw+45NL3BcpHjs14xsRiVl3aP37UPWsnuM3CfbjaPoBVEL9djNhIxw74xPRGLwVpJl5AXjkTwP+cQ4nyyqMcaOkew3Ea1kUBhgrs94uw7EvveREFPVj6zZqINiXNpyhp5D50LG083qlKmpIn6TgWC/JxcYEXUItb3P/UO8m8OMz34Q720w1qxjMisMKVE11hj9znt0Hvu+vcCa8zxkg7njPiNGZ6vDcMyRswgfcq92dEWkD0OSjBDdF3NztsURu61Peoj6GGRd+xjmdJ2OwUFIR7c3IAKRqsYPoW+ORnFN73c6HgPa/G3PP/fE/IsU1prMdx/oAXWR617DHkM3ku4RNV3qc6Qn0PWjTkE/7BJjGcVi7c9IKvtQEAwIT/JFqgbyiJ5JNrNd7MvO0TyeKjE5Gep7R3665wgGNgtiKNYAvdYxyQ333R6+OD2pE+iGsQ45d+voL4Rmr2VGEhELDDwEFgqWkTEh7BSTRtBSBihlikZRdAhhijnPXIRU9kPgCDusGWaLigAkBOr+4xYjQWzyC82zsfIcOMfYMJwnAcVruzilkLCO8OsIybZw64gPx7NZUwT73d7K4idAnAchzPiLYobh1WiHlBJy0dqP8smbTnEnoBgzWHX3F5lSG7eE0iCKjk4XrpNySqDH/XPeDEibEoOREoOkoZhTTIwRltxrbU8lpUvUhM2bkmwDpdzUip056HVzn6FF8bSxzMbLUm8e7o9759xe+tKXTkhV4GVwrwn3XvdD7wRKKQbbHOFpCmM/FJ4gI5xrkA3G0ve8RkGKYpEB7yMPjasNkkxhsE2mqLWVIuudQoEgYVRR0v1eHRmBPEBWWOOxqU5HGWSokHOuRRSH8H+wRhAc1p7jdzq/XqL+befAoCGTGSXmfYBiTBkUmurcKOSumxFuffO+UEYoh37T/CHXp1Ok0vqoCxHXZAQlhJIToBD2IyWNJ9S8sUZcE/ktrSq85KIhkC6ueaZGWTdQpiPfPwplBsmAxKVoIudrT7/7ZO+wZ9gfIt2nX2HB8fvkuPVgrlIykaTt+U8WIrBmK7umA/PU2kU6IISj1SSCE3lpvMwlZL57yHioDQey27yf6pqbrJAs8pP+YJ2TcZH7T747PwRpHWU0Gcx3+wAdRLqQaxGtVUdp8jryTJqvi6uFUxemjHlN9rufYdTV10QPMdenm45RA/lqPtD77DGMJ17SSB9BTFtz9j6ypB8GXRucLfbymhAJec7DbP3bQ8hFuqc5TvdCEiBD63apM5HT3cLb3Rd7m7lakxHQ3ptnS1DXUU1kNp3bHhokg33ZXoto6ebNjnlsniD7rCM6H9IpQC8mX81b+n0gfhNZQZYEGVRfF6clfatNztNZ7EuiNvtVHNK8pN+RGciSQH1+xo7+3iu9vE7btjbpIOSptYkY5PiyPzgHct/1W1vkSugNkbpD9tAxekHa/7O6ZueCGIj5aL3Q1xCMUUPFuZMbbIOY69PRk8wF69NaMA/ZHEjYsEXI1l7LjCQiFiAYchgtkRE25tpAtaAoCwTjVIvM9Wrxq4MQwpXCSwFznljydgsZmyplkHJgMdhYQyhGaH57M6lBQEduU/SgpkhS+EUWYDQteoKdR4Vg7CcILKx/hMkRdM7NPQphQvjUIaUMEp8RFYDEqBU0500QGj8bHCbXxj6MaRgBZBSm2T2wcdZgINuUIyyd8htEBQPV64yZtqeSAoboMl7mhQ0bu92uxo9kk6bAa8bw6JVRIYKFIWkO865JaXCuIl4CNhPG0HQLkU0XsRk5D3OGUVcXgK3JCGuAEsKgsa6iajJj2MbXrgRtzlEQRae4N3X9iTbitXi0gWLf62gf64FiFYZ2J0xlLht3Y14DwWJdRNspx+cBRxANcn0wYMxlRJXxNL8p28gqsJ6NA48VxSYK+0V9F+ufskSRpCT4/HTqmbhW8sZ9rmsdxHu8hOQLj0+/QJGs5Z516pjGRQpVHUFE/vUixLUGoxXJ4R4wkHmxzF3KN8+keUnhqvcghhzDGzFHQUO69dKAq++huUkWRk501CeIiK5APW8ROrXy3i/EMRG8yF8kIcKbfLB3RitlOoX1RYmPlKO2ATPdLjWMjzBkyYeIYIk9gdFVt1Ilb60jxFq3Dko16D72zzAwRLO5NusTKUTfmImsRqKSj0Eu0CvIOH+hb/WKBCUfyI26Vox5hOB1j+qCyPStXqcVBdrXg8ixx0ddngCPPqOujqQDhJ+5FkSh6JPwAE93rOq15TjqLTDs6JKu3/v0UPeYLHBs691nek1O09noBgw9c4scottFtBcj0D4tUq+9L9HP6SoRDk9e+T7ZSd9pXzOjuVO7TjohhxdZ2w6tNyfo1/Z01147C631ftdJs+bshfa3ukZar9Ni2nuKvZgzBIlZ7z9kBzICMel++KNLIMekbIRDENzD2aYOfrdV4FIkpP2GblbbbIgm6znkbhtT0QnquU02IdxjnBFd5o+5UOvNvZQZSUQsINSsGEWFkKN8tSMdbL6EGuV0EEUZwSaDAHHcmNyMH6QJBYJHnKHTTTnwVysHNtxgCLstOMdExPAMh6LHAKV4OxeKZq89cN3ACIuNwgYd3UoCMSYU3rgnhBFDBDFDOSWo6lQCngfXh1VmuDDUB9XXeKawGfKOu5/tCvCUTIqDOev+UOgCCAybMKHsN6QeRQhbHeHC8EHKUNbrvMp+gGLJeI/aFe4hBQzpwMCpyQhKSS8rTncDpZ23yaYpl1QBqtrIqotPiQRqK4sMC4qg8TOXJlPOOhn1FCiKXS2LbNrGpV2nAwlCISQTInIDpqoQOgYvsugp1xpAOJEprtv/rTsFeCc7717D+PKGirSqX2OQM8KRJyGXKQZBuBp3czo8LaJbrH3KyeKUAuMcnQzICp44yhIvOzKA4l0DQUbxQd71ah9oFwt2f2KdC+9k1NubzBP7k/FoV4afzbHbICtEwfF8RycQZDdZwri1fskW86Ver3KnkT9qavQqUpCsjsKgoTwiyRGXYM3WnWPIQwX8QmGM6zNHosVcL9HNu4ZUIEfIY3syL6H1bMzMLZElvut75ikynSHTNuSnqjC7Xh45a0K0m/XdjtLihCDngvCw/oWpT3UuOWc6hzFGXCCjIt3PnLAWo4DedID4NbeQkEGIICOsMQZXL9MiQj+KlMO6MCvykfFU1wDoN+LarC+EQpAJUWeAPIqOZAhJ851hbr8M+e83kCuz3SvJF3LUmmdIIkDMEb9rnjqe1+zT5muvjV+6ATI81jKQJzzbjO8g0Mg/59muD2J+GxdrLggEe7U5RDdC9tTyDhlFd64Na+SF8aZrigQlZxCcdfQH2UffCsw2HaUT6g4cdFb7VJyna6OHWMvhkYdeFRA3fmRSTYyKKLFGrR01mULP8ToSj73AGRBEA/uAPPI7dQr0bPCJT3yiEKmOG9dKHtH33ae2Y5TeG7J1ug7kGH8EjD2IHtAmrcwV5IRo7ZkWE54MSUQsENStbgIKjghD4z1oCzreMBturz1Q7fOplX8eDoXJbPKhVCMfolq5jQJTuTjlYLJwsWAS4/iUSAuMcIkuBaIybEgETL+v3zEJW0yjTYQwRn7U6QU2ZgKiTqUIY0nEBIbW2PD0E4Tt66f0qbnAuB8UsTTdmhD+QlFx7xEOlNu6OnXcv2glJHzM3AjwWti0eSuRDTYSY0eZV5wpxoUxRomVSy3kNtDr7hjmKVLFdTEmKVDIPXPLxkXRqcMo+4W6pR2lI4g850ShsbnWRhayAgnoe8KsjRfPUHgbnT8yAgPPEKOkMVjbRdfa8DmGN4WI1yaUGjLJ3DeP250YeIvcK+TF4rqIdPKqyv+1tkJ5CPAmUQSNB5nTNub6jcgRb0fwGGOKV9Q/iTBkMoLSaA2L3IjzNOZIrMXVTLBuKCoUDGuHohWKHbmiSr11U5MRjDxEcD+q50svc23kEa+S82NASxNxbWHQOk/K+GzvS3zfXGbwmO8hQ+0ZlDteH7KS8m0+I3h4mJyjdRzkVT9gLSJEEG8RqRNrzev2PSREbXBT2hFodaco52vM2jVnegWkrloQyNU69TEKQJJv5JraCYw4ZD7PYpyPNW8OMkRr2TtdIDHcD9da57HHPSXj7AGizHh9jd10UpYgPu+arMnYf82TaC87k5ogjD3EF9lfkxFkqr1/JkZ2TfD5PnlNd6E3hWwnc+IzZLf1VadA9hNkFuIDyHjGrXldG7bkkQgBBK3Pmif2aHLbeEeKwGyJYnqmeVk7mNwT8pVhGmSXeyMKbSZpgJ1QyzB1f5B1dSSV37e+OY3qc6vJg/o36D7mDCI3yAjON8S9+2tfcB10e/KsblNuPRrTiJYRjYK8NC70FHo1+WxeRg2XfiCuhyGNQAlSxD2P9ec+OHcps702go1bpJLV6yBqkNEh7Zvuh73Q2kcekXF1RxLjZD9nS/SiiPJVV101Pu/q9A5rxHHoum05gXBE4s9Ej+WUQ+giP8g1aUGhJwY4aREzdLFeR08lEbEAUOeqE1x1eI1N3OZHOasXFtQFsfpZCTzSMSw8kQlBKsRkxwQS2lo0hWLeTTkgRLttrIQJBSjC7mtyhkJH8R9Enn4g6lnwEBA8BK3nEWYa42SDUGyoU26r34iK0hQb0Q/IiPam6ff7RarMBDH2jACClRJAMSLsbQ48AjYjZESdox1geDGoCM06cgJ7zbNOsArnM7cjssVnwwtDGUHOuO91JfFeXJONP+ZuRKhYZ44V95BHBpGG6ff5fhvAlH7KBA865STmlk3ea5R2BoPxt46CAGSsM35DoQ3vr02QAe/eWXPu31TyRRkQQmIpRtZzzFOGjY2QQhhkoUcbLuXMvXO/p4J2S1SGNEMbGRGtSEMZY7jNJI9yOuimGJi3jO92m1DznZeOMlAbWZQdcxYxw5PHaGfQTDVHlvyj5Lq/0t5qkKPy3BF5ohLcH7/dy+4YATLWOdTeQB5oCm+EiyPvkDTOs1dpUpGSZN4y+M3piPhBvlkDlM+oZVAb80FGUPLb5GivQDbZxzgHgowgB80F41W39DOnKcgMtfb8mm53hekUpmRARqcZ656Mtd687/4ZV/cXYWGvNZ6MC2RAKPzkD6J5pgal75Ej7p/zEcHYjvQzn80dY8TLPFlhvbqQMflWexuNrb23XoeUfcbBVAum+s22TiI9xV5fe7Q92g9mUtwuriE6ukQNCFEgQu/bLUXJDjpfv+teBTgDOEoQ187V/DY/rDnGlQgEMoeBR9YjROvUOTph6H6zSccA58DAtKbr94wHAq3TmMyG/Ki/G/I0iqNHOmJ9HvbbyQz/+vfM8TYZYe3Zl12LcZNSwJMdZLtzIAc7tQi1R5DL5pD7YD7SwciZfnWLQ/YgfZEidAjylRyxx0VUs2tDrkwl8m+qqKNc7Dv2hZBR4ailk5D5UsFFoBhr5B2CEyHLoYJ84NCxl/eiMGUNuqmxqFNTkDHWimN3W7+LIyPa3alEP0a6nz2RjCNfo4hzwLydTc2abkgiYoHABkX4WOwK1NTgVWOoYcD6aawSuvUCYFgQdJTjCF8Hnk9eUx4Wmw/Fm1EUG5DHyZSD9iIMwU1BYuzz1NRhgWGoUbD81Z06+oVoTRSh2QQwj7DNySMjjECIFks2DwyxMWyHy/PgRY43o9J9RkYMcz2IussJAYj1NzeNf7QyRIxRWCm8rpHCwhiOVAtEmTnkffOjzpvD8POCMXptZp5TWOsWrcgIm4yNZLZdKmpFMPIF69/k3WFUB1yP8LsIwewnGC08HMY2qj473zC8bfLG0eYWBZYYw8i/qAWBROE1Jiti84tIHorL4iqJ12uS4uH6zVObeSgEorAY3xQQRijZgJAE9wgTv7gNllHvOtuea4ZAzK9OUSiD6I7BYKMEM3DdE+vY9VEoIt+dN4XS51wRjJGqFmHsQsvdA/KPUjbVyuXut+8yFhFgQp4jDSDg3pG31hwlrB/FF6XbIJZ4+GuQ+Ygi4+M8KclkdS9Dol0Xz6yxZBya7wzZKOyIDDEutaewns8MF/KVct9Lkr6eI87L/EdGRBoN0o8x73ztDeQlpRf5F+PT62iubkDyMlJE4EkfErlHLjDiECaMH+dLDvp/1MNB7jB+23vrdNZd3VIvZKv7wECIVLFOmIpsF6GDgGMci8JS5DHgOaVcGgw5ymiaStSCe2JOmU9SMtrnEfKI0dmpWOB0IyFUsSc/7XvqCsTvIV8ZVGQ8PYveIRWrX3Wv2kSBNUSuIZ6DCPYZ5LDzkCYSxWrN56gJEbC3M6xnS7AFcRTteiOEPSK+GNrOxzj2CnSN6Lbmd/0+Xc71MXz91aldZJN1ZGza6LbG6cF05ZqMMO/s5UgN+lR8195urM3nQB0pUxN5dCeyyBxFSvfDMUn/4YWPdpDmJJlM1tkbowh5vNfLgvl1BJE9lrwSjVPve9aMtUPWWlfkMocNXZI+whnq/Ol8/dgvL7roonI8ekCdmhJkBFJkOulcZHEdWW0NkGfIjjr9NfQAZFQ/UjHaSCJiAYAX1qQVxl+j9mASZoQNJacfSg0Fk0CLcB+bMKMwvLQ2UMpNbAoUU5uPTQobGe3IQnhQ1idTDigrNrA26x1tLil2dQ0J/yf0GEj9qn4+WWsiICAcX3EyRhr21WeccxSmNE42LwppVMVl2FHGginGzrqXjMRhJiNqAoVARCi089QRYxh91+MaCUZjw4hnXFJObBaMK3MgUk8YHMa4vn7KkNdscKHAM1x7lZdrw0esmNPt37TRup/mpOu2ofW7GGytXJjfyDpzKLqueD/GhyygBJlDSDrKUBBC5pfxt24YIWRFJ4VgKnPNOVCaeEg9UpQoqHE/KGsMHBu9xzDAGd6dCvC1ZZX5wqOCvKvTTYDB6XVjUNdmGMT481zxwpFp1jTjxlyVMoQc8joFDPnjD3FGYaS4tj1AYRzPJGWCMmnOR2pStzop/YjQQWDxrlHoIqqgnjMUdveGXBcdNdvaPHXEG1nJCIpaQNYDRUtaEhI+yE0RQs7DvhMe2foc/VYvyXrnFZ5G85VMo3gj3siIIKjICucVKVEIgF61EZwK6vlgXzFXyTL3yHyyPiOiJIoj88Zb12SLuW8uB0E43flVh3BbP+Rp1Hsgi4wL2R7EKRkV3WAWdyzf95sMLzUtjDPnSBRNdH/CYWLvWFwl/PbxkALmE8K2HRlh3wridDZ7NceDyAfnTzeIgrcBnk2GqWvwOIjuGEEchIzmVEFIWUMiIe3jCG97OVnE4LMuYz5bq3Q7smC23Qekd7n2gPtZE3ngvDiCelk7ivOLzkb/dp/raGTjYx2Rie4fndc+4XrrziDtfY5cIhfqYoZIiDYZYb/juY/vuudSXxC8CLc6OrCee+15yKnSa09/+/edq/XsHkVtNGuYPsXg71TvrRegf5NLvPxkP5uE7lPbAOwmcs3aJ3v71ZHoX13sLudCT6Yf14VckYohC6cC88Jcq9vduu7QlyK1NuCeew1J0a7B02skEbEAYKMleKKqa71R1v8nxKabRzkd8ArYLG3INl7kREA+G4Ft07bxhzJGEDE+2+QJ7wKB0Uk5sLnwWkUIqTB4oUcBC5FwMyY2CgKQMSv/aRD5kt1aE8X1uV88Mq6prmRMuTN+FA2bKGPGRuP3kBcU6wBPM6Hai3y12aCTEhgbHRY5iq1F27z4vNcpIgwE18FDEB4lhj4lnRcOeMJ4U30u0ovcT0ZuIJQbiiqluNch5wwFcy3CzSN8mBfcBue8bCbuGyKpF22duqGOHKphTUX/7VoWtNuD8VIgKxBjQmqNa1yXNcLLSVmYrkHGA29Ti1QEG697aP2ax6EU1kXsGM4MHkZ5myCsr0+ocyjXxlp0BQ9HHRlB0WScmAODJOiQu8YwDFubu3sQRpP7Qv5RJKMvujlC+SHDyERrnqIqcmuqhmeMD++YtSSPv+4shIxA8obiTf73qwYCmE/RlcmxOxHiajSQfb1SfI2r8YyK8pQ3BE7sD1KPeMIp6KHs2gMYcl6Ljkr9mC9IKPc76lI4n4h2s0eJlKnJCOvCudfG0yDTieJY3iOPyQF7sCgS54ZYI4vNN+OKwDQHkbKIR9+ZjZODzLJndqrwH6li9sGo74HM64ZadiD5eRbj+swDZD69o1b8yfE6X3+y3xXqHe2BgQwL3Sd0DL/lvpNVtXEwXZijdc0X8ibqMdRzBaFpDfarO0YNhAhylVwmd6MmgXlBBteFehnk9n9jXu9BiAt6Uh0uP1OQJ+ar9LO6A5noWOS3PzUrODt6vdYZeq6dERiIdUD3FAnCoCSHFtcOMTrJRRqU8YlID+Pl/EWTtdOGRCJJjaEXuT6GpT21GxlRn2Ov0I0QjP3evJVGFQQj0sZ6Jov7EQlhXnI+Gou4VoZ5JzJCerj0JnZDp3pVvaphBOYoUhrBEGkQ9Ev6Y1sm0dOmM19jrOkiYRuQa3RqxKDrrEE3kT7WJsZ6jSQi5iHai8LCtinUxUfqlIQ65KffsPkQyhRxClgNi8pmzcC2KVDUCXELBJkQqDdXRngn5cBCdiyKkVBsLDNjR66V8Yl8XOeCzGC09KvA13RaE7XhXGtF3WbGi2dsKHp+w+ZlI7extgvozCVijjFYhZi1c/fdF+fMAxy1C6JQlDQGG6v5yWtU90QGGypDgVfAI2OtvnZKvnEiWOv5QgHhAZ1qSPtUQdmmBFBAzUfHpRBH14dQLmwEi1Nme1WUz8YlrI9nst5YvEZRDyIwvlPXKghl1WcpjqGku09kCU/VdDdfXh/3ur5PNkMGMI+h49Rz3QZJUXK/2sRNPRcosiKcrINQWoOMMDecMyOGco5IifMehCcZGDmRDsITSNaI2AHkWl37xbm5VuOLXKMsIgt4Ma0DhulUQpTjGhnik9VJ4R0LL7vj9TItrZ4fsQaRzPYb18LQjvvYy370cVzXifhDrkhpY/yYf67ba7E/8LxR0in1DEXfN//NR/eqbnPYa9iDyAhRIm35GGSEOdCpUGu/68oggckOynBEbdT3iXy2jyPMIvoApH6KakGekc+iJfzF+c7E0GOYMlJCllk3jBP3K9rakhfkLnkymQc1zkP+tbWJADc3agQZQda186QXB2uOh5EzoDYqkRGIFB5WRg2DkcyabVqg+RlkVXj/kX3GOa4VCdmr7jOd0J6L1pvrM7eRfvQ6jhJjINoNASCahsGMIKgjIRGRdBdycSakSadC6H5HZGUUNyf77YUMUY4JcsIcDTnVSzICAWetWMdC+UPe18SeNcY5Mtk94sgznu4lIHnor5HCBcaXrA+dMsYCEV2TDsZjKmRELxG/Tc/mlLD+6n2c4U0XD5IRYW+t9CN9lawV+aR2RjhfQ7YFGUEmtKMfEMXSbDkF2/J6pvh3NV85JqUNIVWjIyBiItqj02WMUd2Sdyr3re6+gQj1G34/yAjrLZw3bTJiEHpSEhHzDHU3BmGMFAiTVOgbo7etaCqESBntF0veiVUlJAlQwjkWUO0Jp9jwsoQRS4lvF6tbnOJqc7aoQmhTUnwfqaHgm3MggHgTGAe9bJvVq9ZEPEsEjw2UkAgwHCh6jO2410IcFVyrjzmXiGsgyG3yUSSv7nLB8HXtlKaoHk7o+QyDC9ni2tyzYPgjHJ3CQIGhwEfbvQDFkWJDOeZtiHx03iDKsbGbbXh1jDGPvbno/Hg1KDM2d+uNQDcPERS1d6zfsO5tZowYZATlpW4Fa95Tsq2zKNTJ+HV/2vmACCGpE+HFM9ZRcKweh8kQa9x8NUYRCVB7M91L67UuPBqb72TeEEYk4tLGjcxg4IbyQOHjmXP95iBiqN/dMdq/ax2or8Egowyar9H1wlw3Hyno5mzMSeQr5Z33i/EVoKROx5iYSp0U94RRTkHvZUpajANDnwyzDl0jmeY9SjASkiHeD2KIMWz9RepXQLcainoUpov9gfIZ+4O5ZH/gNWKompu9LtQW12oc3COREYi6dgSb++YcrM1ek6fdYM6Ss8bJcclScoChFOPAMUCfoDsgcRiadQ0cRoW1Ttkl42e77hC45Cj54NykcfpdBGTdvnOy36/fMy+RAoyKiI6p61QFEcRY8X6khi4OjGskRO21rGFO2u94v41NL1uDRxtM+kzdcpFBRy62i5H38rhtvSxes1eY38baukKq2neQ88bIeZpfsUeQ9aJnetFWtF1Uz2+ap21Sz95NrvZKDnXbG8laDjFjUK/zukvOZLCHhx4hgsMeH5GKdd6/1yYzTOO86KH9JiPorfT8AOejNE9rwLq1L0Q9FnoLwh0BYIzqKLVeg3Fv7tEZ6lSckFP0UcQ8+dC2NZyTPb3X7dZvvPHGoj/SxSJyAZnJyRjrIdpo0snqVPVOiDVYO77sd+QnHYkdIeIk5iJ7xP2iew+im1uNJCLmEWJSiiyIvsh1S0TGoM2coktBJ9goY/3KeaoXCYKBchivRaGmOkqDUcSzTTjVoWU2FAuDYjOdiuWUJcZYKE8UJb9B+cWEUqCm6+0YVGsirDEDikEr6sG51mQEbz9lZrLw07lCXRiJoLcRIcB4BigCkY8d84KiRylDPvFa22DNDQab30IcCZULY9i4YsmNKQWLJzNCqI0RL51jM0QZ3O65eY7FtunONj827iuvj7oJUfQPQ470YOTUXmvGZJvB7hdcm7EMBUUkiXlkPG2e9WZKPlC2hUQKEXavKAf1mnTvzFkbpPtkLENR6Ra62e11irDfEO1Up8bwMiDbpE9NJxyU4eC+mluIPkq9kP+6AGHdjrffkRD1udcFZSl5zpNiFWQhWA8UdJEKlHSfoZRRfIwVYoASwnifCaZaJ6VfxIwaI5ROZACilGHr2GQeL7A5aj6Qcb0+PplgzpOTbY8zMsIaIXdFybX3B4Z/GNjmfy/Dgtvz2z7g9x0T2U4e1kZFhBAzwAdd74fMsn/SJ0QNmIvqtiDOyOgwoHhmyXXzu46MIGNcX6+60tAB3DdkkTkTxj5lncEw1d+nWyi66bwj7Nl9NlcjUqlex+00kMmg4Jv5ZU7Fdbfvm3VtTU/ndwOxTkR+iRaMOj41EFZRWwap7770qwB3PZ/NF0YSsjNC2euaBPQ6ew6Z57n1Se63a+nQU2fbzcPcCDLXXhyGHR2D19nzTuTYbNMR4rfcG8d2PPtaGNR0BLq563afhL2Ti+GI6fabzpXMNj+DYI493rznUGxHGE9FXtRkRKcaTLOBsYwIaPLfeXIIcLrR6e3ZdCO6eNS7sCbJGOPWi5ScycC4N9dESdbd8mJeWJ/d9t7ZRvBFVGLMlwMPPLDos5wlCIl6HtL/pePEa3Xdu6nUvyErrUW6hXsRDkw6GCKiTUbYa9gWNTnXbyQRMc8gRI+Qkl/V3pgpOMgHAtqkt2H0y8tSLyReY/UfHI+hFJObwVMXjnPOkbbBEK/Pn6BGQtQFrxYHC4+C71wIt6hYHIJAqFs/2tPNtjWRe8IojOgB58+riMCo2U0bPCNGZMGgqqZPFa6NwlG3oRL+hQwQJk9RiLwzpAElkzLOaDNGdVV9XhX3kQfMxmB8fJ5nV8QB8oLhwbMilK32uJvzlGGEk416JgUiOzHPyCXrjOevNjrrz7nf7qF51+vaK3G/zZc6msk1UvaAMkdxNy6R9lRHRthweeTNR4o5BYEi6brqNSbElsdcmkasyW5KTj0PeZURHNj7KJBp/BFy5rswa55JygjFrJvi3g2usx0NYxMn3ygYnQjWfq2T+nfNX9cX0SbkH0PJfEWKWMPkAkNXiLIxpSyTfXVYpPtHkZ9pCKi5ae51q5NSE4K9BmOPxzy8zMYH0UJhjjXCWLMHUET70RJMG2RjLlS9TUYg5BkAUt067Q/kF6W4l/tDu2iyPaiOzLJOkBGM2Thfcr8+90GlEwHjQD50GEl0C2PCox0FR+Ne6mHPiWAO17WK4pqns+7iN+0LxsJfzFVKtH29lhFkFjnT6Rh0i9qpQf44R/tEHbVg/pGFyIhu0QzdUB/XviWCJu5ZvR8EWd4Lx4a5y6hDCLlHjLa6qwgZy5izBw+iJbnINAY2w5phJ6Ul6tvUNQk4BshFssB+7jXOA6m09ibjP5MU2fb+LF1B9ACDChkpygIZzSAWjRGGVz8MLfcHWYbk5EQxFgjYcBpZ+67bWief2ven21qhQ/Ji89QjLAP2FHOgdlRNB/Yjc75TW+fZgg7k3nNwkGVkXN19g/xDUNFla/SyW1LcY3pS28gnt+wFIp/adeb6BXaHsY5U2LvuuqtEaJgn5kMQ0SFD6LzWVlt+TCZTw2lnjzG+SCyygAO6Ricywhj1M42rE5KIGHG0BSnlkwAEE5pAtsh4NLC0schMtNnmJk4FwgIZMJRSwpkhasHXkREU8qj8GqwdodUOJaRQMJCmUziFkksIYuAHWQNipq2JGB82qUhNCfDWGUMeO5taFBsUKSDcr1f5ar2AeUUZiZ7yAUqAe0sBcc+RKHWrLNcvNK+uqh/zleHmWs2hiISIsFaCmuGHvKlTIHrlQWzn5IsyYMhF32UbgmOZ19G1g/HjnlFK+1WhnMJpA7GGYnO3qQm/cz4iD5A7YL2bO8aflzPmnPGuK3m7B0geY9mts8RUjCHRSEG4SZ2INc0TJUrL2Ii0UAnafZ1JG0IES10JPc6LkuZ4xiY8a4PyJpN31i8jLo7tmiihFB6Gg+s2f61b143IojDXJFF4VJFsiyOxuqUNmI+ORckfRJ2UGoxXSjPlxvm388ApYe6XMNG6RsZMEHuJYxmLOqKAN4iCJxKlPU7W6lzsD9Eu21wQpRQkHdi73TPEH5nmM4MkH9qw14iGinF2fuY3ZwEvHaIsIvmMH4XZe3Wo90ygzoJ6HvYK4+A4jIYa1le0t+5EqjE8rLnaq2m+IUDtMe0q8eYs0pXs6NQ+sUbdlavWwUQo2BsiLRasY38icKZTfb6TLBRGTm5EKqe9xfmKwrAfknOuA9FiXAbRHYMcsSeHfgn2JLqO+2fvqWsSICPIf0ShaCmGUqRpzcQLXst2cq6Wde63+WkOk0H2IOOFMOklYg4gtOw7EW0D9gLr3DwOpwXjX4pIHQnR1uXdO1FHcT2iWkT80aEjpcx+bZ/32mz2OPeHHjDT6LvF1QcSvYFkMneDGIyoAsZyu9ZFL1DXSKEvm2dkCuKy1nmQAOSEyCpR2/0GvYteZjyCXLj99tuLzEOGc0jWIFcRj3HPFwfErdSWGGfXxxFsXxHF2wYywl7tGO1ovEEhiYgRRyw04eEYX4KWkmNR8zKKQrBJUbgo/L1sPbY48EITPAQoYWOjtDlF+6jIAUeSEN6xcYchYaNv9y6eqrCNcbEJMHYihHHQ9ROm25qIkcajW6cb8LJQxBTuoYAQKMYxctQoi/3sdjLTsDdeYIaUzS3mAkHoPtuIKbI2Z8+jsKbPuV91Vf0aDBjKSjus1Twy1wnxOudytvebV58Bb9MMxZDSaw5TwMxPqRjWltw698Lr7ql7XEdL9ApxTZE7zjMmZLNmsY0P5U7EAdhgeIWsg5griD6KYbt+BQWfYtNOnZrqWKqFYMOvN3WEE8XYmNRFGnkoF5cy0Y2cQL6JKGjnMwpDpOyaQ3Wl8n7DdZvTcd1IF/eBB9D1kl1kmzWMHDbG3ievyYW4TmMVFeQX1/WGsoG0rIvV1YY5ErhfdVImg/BzXlnRF0iXOg/c+kVQ9YI8rdOkyBrXZTzqmjvhoRX1EzVmBrk/1L/JWDNn7c+UYeNA3tcpO6JGhON6rx/F86aCMJ7JW3I8Okvw2DGGGZjOD6kZYcZkMKKCx89eN50in/X1IdDIpQg9pze0Iy3MK4as9dapA1FbpriOSLGxFpERfrOdmukzCPPJulh06spVE+qIV+clJN/+4M+aQ3ZNdT8IWUAfiBbf9iBRkSHvyE5zyTh4FDUYxAMPd6+MysXBfovYqSPQnL81aW+Kmgz2fPuUe4t4lcbjc/YBOsBMwt1r+Wgfs27se+5vhKDHXLDGRNHZp0VJ9MLoav+Ge2KN1B3hwFjQI+xNnYCQqYkccwqZRGciPyPK0+/Q5R3D77lWe1wv5EQvZV+9B4F7yzkjmqNNAEaXnV6lD7V/x5jRtenPxpFdJCqm1nuQnM4BAVx37eol6vGleyFE6PU//X/6KrnEEYuMECVqT7dPIJrIm8Xd25AZ5j5igb5nj7cO7IfkOFuw7iAYoLPSl/rZpnUyJBExD0DQ2xQpvOEFwG5RCqKitElNOZgsF222aBsMwl3b/awZnM6NMLVgCFOCllKOjAiDVAiRa5KvNJsiS37P79dF8AaJ2Fyn05qIshLpBjbrdroBAsLY1Kz7sKAWtjZj1+Ee87CH4RFjwitBUaEkMpaMA2FMWWEc1FX1pxIqF+OG3JltGGwcF1scSmlEEFG4hZYS7AxuXlcpKK5XuGV4vfoZ3hebB4MAKWLzEgYfaRrWDCWGZ9L/EQCMMdEdYYy5RpsVw62tIFOMzFfGJANuOiCHKMZkTe2VsKZFwnTyPE+l3gRFl6IdTD/FloJPEWO8CUekuLsvlB2KHaW37gbSS7QVN/ef1815MMR5a3lHKenuUX0t5pR75z2emPpaGVyMmam03qU4MEB4/Oo5H0oLRYRyZQ06Fjnba09pjAMCRmpQXAfygZziCa6BYDYevUrHMO7CTkVRKTiJ1PG8DlXmkXRv2nnUg9wfeMkRQ3XaGSObgW88ajIi1ijMRURE3EPjYw7z3tVryZjTJyj19iFzD6nM000+kj2TdYMK1MZXXKcIkYjCEHFABtVFR6OjgvGMCLT2eddgWDAykFQhOxi+0qA6kRFTMeY6deWyl4esNN8YidYc+cRwnO6asz6MufOOaBDHQ4S7fsZJ1OSg37kWUZP9KvAXRiM5XJM/iG37OPlej51xd911fSQyOyIj27rhdMHzG9GmkRpi/YusQDSQr/X8CpDNDNPpRKd0gnE23nX0jPlIrwsitJ6PXo+uHW3YL81R6ws5am3R+RzDfmYN8JgH2WH9GVdGdoz5XEZOdSMEkOyh9zk/5CLvPKKFzkFHsIfTX3pRi0cqEKdQODDpA4zy0JXtzXQ2upCo5DrqE5k4k9TdqaItm+zN3ciIlVdeuawR8wX5GLrn4mRT2BfkEPnABguHg3lPP0ZG1Pug+TZTIrBXSCJixGFjsCHX7J4J3/aQE9Ty1frRCqcN1b+BUmLSxwIM4UBBkWdKIDHgLACsf9SLqA0Xr1EwZ5PbLTTJxtOvgk2E2+I2AZvvdFoTdUo3iKJFlClCNKoND0OXjMnICCQDRbsd9kZhYKTYfCls0eObl4FR3a6qPxUFsW6vFB6RmaLOLRZaz6MVoaOuxWZKIa3JPdcaocr9vC/GAqnAs05BoZCpRWLcYk7xvktlET0TirC1R+mJdBNrlZFqPgbhwgBmYPhseD0plZ2ux3ymmLp3xgYREh7MCP0PDwPlmWISCtXiUK95pJXz9meu8K4YAyQLGcJYssb9PqUYEB6uvd9FryIyicw1z5FR0lLkw1IGjLH7UHtNjTEFg0c1DGZKbHSMmU5tgm4EXBBh1pP7TeFDEvVS2arbhCJMGWXRfYO85c1xz8gBnhjXPNM88E4wt8gQRFTAHGRcGnPGSoDB38nj0+/9ARwX+S7Vom5FDdaLdcxgNa9rzIVsj3ljX6Y3MBLUl0HYWFshOxjF5LP5ijhGiMVaZwh28rzVCDnRLpKHkCFHrVsKeR0txOAW9dmpy1d8RkQXQzA6n8Qa5QW1HsPgca7ICF7adsu6xaFbVy5Eq3UoIoGBao8WHTiTCvuOIW0oIiRDr6o7DISex9PuM/bMfnk16WNIEdEM1lYYd3Qfey4HWB2NSN57rT7vICOsz9nUJOCsCOcb+Ufm1lFh/k/+ItPr8Qg9DSFYp4pNF9ZGtH8312vSzXE522riKdLs6AvdQD6Yoz5T19YCMi7IiE6peIOOmJoKjLX5SDbEOnGeyAhEMZmLhDdHetE9xtyri+hG2p/91ZpH7JFhSE3r1XHpDUFm9RPWAKcPvb6OoiFLX/7yl08gI9gTiAJkiXXViZzuBGSFPYQcjn2N7LC3hC6L2BI1bF2QeZGK1usOINNFEhEjjKgnwFiNjbTNagmjpPgwUjqFMPYCtcFAgJrYFrp0EUaDDUteMsYXQ0kht2C8x3PgOmxuwpHbyhBmb7ZF1SxCxXB6Wf08EMLNBjGZB5wgsmFNpzVRnW5Qt5xilBGgs60s3U/U8xAjjlSpDSUeSJtGGImUOAZxdHkhjGdaVb8X7ZUoqcgMhq1j+y1EnnEPI7FWCKwBHnAGf68VwVhfNrC2Am5tOUdzz7zgFUJG1NEbDIbwPiMbKG3GNYhB48zAsDELY/eI6AKyw7ztpOjwXDI0XTOlnByiDCOWpFv5zZoQxcwzvNthq4sDRYEXI9JMeBEcT70Y5+WPYU+uUN7jXJ2762zX+Jgt2gU5ze3wFFO4nJeULMY2pcD7SMjwzsX5OS+KmHlPKWNYkJEziVboRkY4lrVI4UcqLU6ZmQlcV92WtAYyisLOY8wj6PxmUpuiGxFtnhvbmogACqjjGt/Ftd7sx/7QSV7xcFIA3eO6ZRy456JgIjpmLuCcY24ixcgJ+oW0FQ4FMtXebr+Lvcf4W9d1ZAJSk9G0OPmLMCW/EFg1OSPFiQHj2Dx6NUR4OY+6aHM9P8wt8pDMQpAY6/D+ub/WWpuMQJ6Rm9N10nTryuU1+zxSYrZRi+YDrztDFDkTxBqZLcInDAwEJqOiXwapte16HJ/xz6gyF0ImGwPyy77BKx0de6z5Tuc0m5oEzsG5RKcFa4cu0W7L6TwR0eZTG3QqethsxouDyHEjDbDuuMIr7/6IWqD7hQ7eTvkhEzipIiLRfmFcya42zHukruufS+/1VGR0nRqlJhq9KcgIr0VhejpLr/Yk99txOEeQmcimSAGti1uHDkWWmB/kbr9a20KkIUcbcTKtjqL561//WqKDajKCPoPEdH7tgtzdYFw5dJFZUWcCGUEW1mSEOUhGRVHvXrYQnimSiBhhMCQIOgIPC9sprNJiY1D1q0VnDV5iXrdoZyhMyHPnhwFV2RpBwXghuCnOmHWKCK9HCC8LkJDv5aba6z7wNRgavEbC5NpkRK2QUkqEUtpQpuqlrQ0MGy7CyZgNogjVbJVZBrl7bdOMNA2GrrnarubNeCIw63ZkBLQIGZv6dMO4Z7tRuw6bAlaawAbKt3tNyQ4SyVrjxaTUiJjo131BxlFyjV07VcJGGpXerXdKNaWovbnGXEROuC4KbpARPEjqQdj0ECrh2eRFloPcHk8GOOPSOrXebfYil5wjAwYhSZliFDhfypi5IExyceta9EkoqNYJ4y2KLPEuOq55FF0m2tdpYyVrKH69LkBYK1vyNxnAlGLX1t7QjZl5TQFxLrVC3I5WcB3u8WzSFTqREc6BB5lntddEtPlkPISPMkxC6ULKOCZZFxFgojAonDPJy44xNzYMH2Hq9X1g+Bj/IDEDoi/sfVOJpuvl/lAfz72tCWNjQ0kkR9ph4+b8ILsfhTywfswT8s56tmeTIYzIiLojd0QxRlqNNd6eq74vzWs6aQiMAmmLjlfXgHDvrG/h8wgNSjSCo1O0UE1CUOaRbvYOZA/dQ5pHVJFHQPDQkumhmJN1M6kS38uuXO37HvKXsU3+MljtMbzm9kjy1rUxcBDk/XQ0IXjrKv/A8WIPr7s3WN/uIcPTXs64mqx2wUyifRhwzsX6Cdgj3NOIqKx/1+siT2vY/0R2zLSbSERVeHQ/kEWId3tbHRnhvhkHxrF71L4/xs49JD/rsUXg0IlrUj2AjGqnus0VOnXEsXeHvIv7YA6YE0iUICPMb9cf0XO9gOOQWYxrc6SdGsahFYX8wR5F5+m1o6IN95BORSejI0hJR2CRqdL07r777iKDzQOEfuwL9iTOHk6XTsRUjbpFMkKGfJ6MjKD3sQ8H3R2jG5KIGCF0EtxYfKHgjNN6I6+VjH6yfQGTnwIS1cdjYQgZpKj7I3QZcYQF5YMXSnpG5ApG6kHkRfXDe9dL1OkYlATKFE9om4yIsQjv8HRz+SLdwOZkHAfRjmumymyAh8z9rj185gIFkGA1T4R61h5z84CBXKMXVfWngk4GgNekd4TiCpTiICPCu0HpZvj2sziYcbS5IvAo2xRfUSQ2OV4FhliA98VnESSuoQ6Rjvtl3DHnlKdOmxGF3eZpw2wr0zZ44cx1tf+AYzFUKGiUVWuZZ5OHk0GwuKJajEnRUiIrEFkUFmHW5haPl3kTXkakifPj0awNXF4BxGYvUzLashcB4VzcA/deugECIBRK10dp5knmJfSev5qMiGgF4e/IyV54uWoygiLLeBOp0k/ikuFnHqlHRNFzfAaayBprp64TMtN1iUinXFEykSoU+/C4Iya8bh7UZATjgJe6X8XHOqG+TsQcucEQ8RhFByma1gI5UoeTBwZBRtRFPhk2wpURZshJ44vsY0jxzJk7Qs1558h16498YfzWSry1LQx6skKPnUC+Bxlh3w9Qvt3zqG0imqrbPO7Wbcq4m4N1JBnZ5jrdl9nWKelF15U6pUTKRQ3ji9yl4/k/PcPcd99EopD15HQvDboa5CqPv/tdz1VGndek8CFRybpar6nr2/SqdoF9x1gjOI03uRsQJUc/qg16urH7XHdIiPNpR9RMBUFmxfrxO+a7vcCctyc7Xm0Au0cMvnYkI2LePo7kiXOp90T1LZD4yL22PBiGVu11MVVkISckOWut0Ssi4ijkjHmE/KG/RBvTXiLGLtqQkhV1QXN7q4gIRA59CXlN3rRrzPQLdF86QkQDIhmch3Ndf/31yxpCnJJfiKgYN/qvfaOdat+pdlpNRjheTUbQtelV9Mh+RIbPFklEjAhiYlrEQq95Jmx8JrSJZ6OysOoQx0HmjRFEBDEDJbyztXJgwQuXsoE6f2yg9+SeRiVhwsp1CcOerjIzV/ej7upBoQsyojYq/B8biYCZaaVm48E462Vf+14rszw1BKNrJPSExtWKOUFJCfd5SoR0HBuDNA3v8VTYqOq2mINAHMfG1a4r4XrkjvM8tckIDH8Yu/0uTGmTp/wxbHktRRw4B0Z/5PlF2K75xgBFjNh0kFdSfAJxT3hoGPI2q3rTdv8YJkihtheHcetYkVfpt0IpC/AEIpuCqHAOlK3FdccIUORcJ6Kh3jTl9PK8x1jzaCA4KOZtQ7eXrYnbhCivBqW3VsyNE3JK9EYU5+K9lwvtehEEQUZ0ilboJVEQxCVjkjzud+ildS8qR3oJIkL0k72HAsWAnCmRGOvSPodM4aknBxEe9g2GckBeNTKCPDFPGCYUv0FEAnYCgoqHXFoAoo9y7vyiPgel05iZv3MVGsvoNa6MW/OEUWSuIxo4CXgxGVB0CzIiPJ3IRns9x0foGNOR1Z1IKXPEccxZRkKtVzhPcrndKalGp25TjMTI4TfW5ov16H5YIxT+mdZL6XXXFWMr2sP5IpXdiyC26RPuBSIC4eB+uT8RrdJvGCuEsr2C/Bclx8hhTJPVDHFrzZ6PkKwJ+V7VOOG5NjahK0b3jTqdF7lnDNUcce/tj0Lhe0GEkDsMRkSZORPkAaeQaxcdJ9oXSWIM2rVeariP7l/Ukqr3XXM3dF9rDvnntWEiI2py2NxHRkW6Jd3ImFtzdSSYeUDndw/JvH6Qw2whcpf+gfRwDvVcFHFoX3AfyYp+RRB1A52qLrprP6DTveMd7yjkvbHRgS3Gd3Frh01lPtapju3ICOMQ0RQII8d0DsNWUySJiBGCjYfQw5YSADZthrtwG8o5wUb56VaZt1foJgQZySY9A5OyEsoBpbhWDig/PFWuBbNNcLseghcJMaxpB4EQEBRiSm/kSQLPpvsSkRE+y9jg1Zltj+J+G7uzUWaFmNW1ESiOoQBECHebhDEeBC+jjjGJuKA8eBw0akWQksDLhDQJhcO58mybq7EJ2OgYGAzKfhaVi3G0eVOepapE3rPULBuL8zYfRSFQVG32ck9BJAGPZrs/NRLNNfhubdQBZb1Thx1KKaVYakQ7J7eWC0iMkEO1IjiZAlWPIQ+b4yAjQpngfawVTwoQIzW+F6RIL8GDUIcfg41ftE8UN4zrY1AifYx/O2rJxj/IaIV+EJcxtsg3a6P23jJY215ZSpK5Ops2edaZ+Vm3aKVwUqjsgzUQnKJLzBv3rd9FSjvBfeYFRcBEUVapS/a6dpV+58txMBdGhbmo1kNET1HgkRDmIk8yD50IRzIC0cnoc/95ha19ekd9zb10qNg/68iI6VxT3W1KhAediXGEKCAP6UfWLuK8FxFIveq6Yp4jlUUS2WOcP4+4OYOUoEOFEc6gQnh6bSae/ZnA3h7daIxh+557HzGBpOiHkcPQr4tekjfGpk1GiM5CSHBoOJdetLU0N+XUWycieDmVzLPw7HMMRPcSewP9RbRN3QWnTUSQX3UaqrUQNVjMW2sM6EMI3rkiVLtBaqp1arzbUUWcB/QiBj+9KtY8wsqe2cvaZt32+6hHRb+xF9btRN3PTsVu+w2RndEwIBwosX6vu+66ss5Dl5jKnmBOmGfmW73Px3ddp0gIcy0cbAi8dgrjMCCJiCFEp0lIGbeBUopjAyUAedmF+BC4JrjXeGotxH4YR/W5EaSiH+TxR2SA8+QtEU5oYdXKAaOd0WnTpihaSLwcNhiGnxDbfrbP6SUo4dJhGOBtj5YNRWSE8WEk9js0eq4Qymzdqooyi2mOwl8hWClR5gHhy4CoK9QTxuYwA85GzDs3iHSMtiIorJKnh0JI2XB/vYZcM5cZ/za3yE+l4A6q2nAoUsgIx0eK8ELEGrdubDIiEXiEKPI87RGdJMQTyccIDtiorEPKU62oLU5u1AZ1XSU9vud+mhdC06eLNhnBkEVGIEYYKa6JZ8VGboOtya5ew3wWeRLKbDy6fmHpYVg6B+Pn3vAGkXFkQISt1+c2yGiFXhKXcQ3kHlLLdfKQMogoQfU1mk+82t6fSWHKGlJZKOI8WQHFQMkJJDbl1nsUrTpyZZAeH/txHYFDlpAT5gNyEAmtuGBdhLetCA+ajGBIIAtFLZHHDAfPyQjRXwgCSq6UO2HBPGvmvDVXr7t+OlRmQkhHtymyWy52G+QIOd4OdZ4NetV1hWywB/KSWmf0B6R4pEGIOAjdj3E16BBrY6sGkT0m2ombt53mQr/WXy1n7DOdyAhrsa750ouICNcrGo8+wJnmjz5O1+UcQCBF6/mQf910WfsCGYq8QOgixchTxD2nVrRvjMhQnxsmD7axFeVcjzlYu0gG8i+Ke5MlyAokFp24HySE6DKkvvMRVVuPc5AR/UybnQ44Zq3lusVoG9OZr3TtIC5rMiLmi32GPiKiaJiRRMSQIRQSm7KoAoXeeHYsbgy5iVcLYyGpNvKoumviDaJFp3wryoJFELUfwgPEM2ZhUG6iMnLditJCs1kMW9/jqcIGw2Bth9bVHhYRHwQOJXQ+khC1MqsAkWsX3WDzCWU2FCWeP/mQvG42Xhu36APzOuYAwWmDQ7TNtkvKTEE55WXnjRBebzNFkrkmm5lroDC4r+1c5EGTEUgASpE1Z+wRDrzxtZdFzQ1hiowJ3xXBQPFHYvByijCIYmv178+0MGKd8kGBjkih6ZIEbTKCwWI9IS0pnogJ+f+98HZ1Q9swRLYhy8KDoQCa8Y68f2AIU7jcA57DbhXzhzHNqo1OhjGFz14TxCO5Zi1Io/F/940S7t7wSM6WhIh767jkhagdxiXDg7fRfFa8VDqGOW3Meb0HqbTXEUh1UTzygoHB4A4yMGSM+RzFV+cK9mgeS95j+zhllczmDLCXS32J1Coy2p7H4cA4qmX2MDpU6m5TNVHar4jCXnZdIRuct/M3VogrJBvyslMxxkGgvs/uB4cSUirC8ecyTSDICFEESJI2ZjtW9ffJIfuQtc6gdq8c2zwlB4OcgcVF24iSMoa+S3bRi6JWU9S24JyrMSxkRHTCqPc3hGu0Zo5OFPQ5Mttn6VC9LhwdqVHsCnoIshT5bU+I8Y/oE3pPTVIMGjGPrGE6c0RM9mItn3/++eNkRK07u0+iEY3NbFPH+o0kIoYIdfVnAsoCEgomugBbyssYE632wFAcGIGDAoKE4HeeUZSIcYAoibZkFgevYFSp7aYcDOvCqCGUqTY4FERyrXXob1xHvSnbGPshfIcFtTJLuWTAIxsYCOYsZdI8dd9DSRfuT+FlrAzjJku5ILgRZ3UqjQgNNRh47igic0UutckIXjK583XdhgAFB3FCOUA6yFtlULhfPNlIl1DOZ6JM1mREpGnY/OQ4U5xno6DWcoHREmREeJ3qXMh+w7mIiqEcCllnHCAdooibCBQGMIPY3ABjIjR4lNKsOhUiC7lHsaNoRoqEeWSPomh6RGiFrCMXGCy9HH+klpQ/4y1Muw3HJG8GSWK2I5Ds1UFOq0WAkOXNDpgzUaRykPIu1hKD2Z4VodT2MfKad9f6tTdTaI0xY3OyeTpVEmKuHCrd2tn2C73suuLc7Zn+BnHu3XQx97CuhRF7uDQM+zdyMJxPcwlkhFoV5q1UxX6Oi7pASGTrJKLZEP3RDWI6+iwjuVPUhHnPeI+Iu2HTkY03/Y6MoC+RHxxziFeOD3oGMiL0EWujlzWb6gKYUvGC6DVfOQJEJyFRg4ygM9BThyElgTy0L4ik7iXO/39khKid0E3Jbvu1yLZBRe7OFElEDAnaLaiEGlEYsM42JCE9jD3GRVsoUH7bLf36CaQHw8ZCrw0BShbPRgD5UBsjg1YOegH3gAcO2xoeCURK3aqrvkYKXc2MzxdMRZmN1kDAQ2RDMj8RaqInhKIJp7ZZBBj3g6xqPxXUhQU7GT1zHclTkxFy0XlfeaApSKEQ8dIiLqWUKFokOskcDkO+V6GrsaaRD9a047rfsyE4upERlDOEQLsid6/R6ZyNOeIhKlzH+FGCyGYeH9ce1y30sq5rMGqo5R4vOSADGPpIOdccedGU8yhC1q+6DBEZQYmrW1XPlezoFIHkvCjiyHkeU84D3i8GPpln/iIGe7E2ZpJSY10ijdwn0VLtivH2MwaEaIjawJzuOhsWh0qkQZGR7SLEw45u6W/9Qj0X2zVdog5UFEMGBjTnU10EeS5BJvGE94LgC5lSj0m9BtT3QTBaR3U0YC/2I+QEPZqDYVicM50ggoOcQCpydCBlI92JfDMv6nS62QKxUHfoEVHAGWofEo1RA0mGjCCbg4wYhk4jASQ1Eq/XpPmFF15Y9hjylpOJI1gK0KCLcs4ESUQMEbq1oJJTGlXo5a8z9oWOMwKFM1qQg6itEIKWB5ZXOxC5uZg459/2FrfJiFFSDmw68tIJPB5/hI+Nineu7klcp6z466WHZK4xHWWW4DcnkWYRCkcRFx1i06KIxuaAmOAdbLfXGjZFsG4JNohxZhAgtCbbQGoyAtsd50uJYRRjx2sPAO8NY7E2nOpjzgaO7bgMM56RMLR6QdjU54fYoqBFRfJ+18AREYNAi3lszOWtBxkRCntdMM735cQymMO7O4qo5R6Cqy4URw7Yh0LxVP/FZ8iEumBtr2FskSGUOEZQ/fog0e4c045Ako6HmPO+egTGRuSIdKhYE/0mM9uGE8U8OrhIsXD+dfFMqS7qxdi/kZpkyUycBcPmULF+KeTD7hHshEHpSvX6IdekBJB55hBiu54r9bxyX4fJwAvMZm0huek4QXYvjozgBOiFU01UBS+5fdQa6WfaYS/tFYSAc69hzNgwasHNlqDxW8htZEft6KJDMrbNzSgKWt+rKOCtaPywwdoSLdmPtXPNNdeUqCDRKaI0h6U2xuKQRMQQoW5BVbPglC8eeAY+40SOvZxOBiGPVb8KnnUT6JRN56MbRA0Gm+Iwi1PAR005oKAJy7a4RYLI7+UppxATuKonUxRUIEcYzVWNg7lWZnlMjJW5UStOwm5VYDd2NSg8Nv1B9XKeLuaCNEM22nR5DRmCiiV2C2tsKynOV8qF3NPoqhHhtWSEse5XJJI1rSVrPwyteh5S1KKieD+hCKLoHfNWdEO0ygsygpymtNdFBxFISEjfmw91YWq5J+0kPKKIccZkKIbSlRjZg1CaI03DfWEszwWic8xkEUjWmrGrledAP8epJh8dx3jZl6KDjTorSPS6jRwZoSioMGeKaxCLyKaZ1PkYNodKL7pjzBX6qSu1DSEyz7pC9NapVe2owE4pHPMF5i69WuRdp7Sk+tqtGfVx7A8cT7MxuOn1dA1FLgdFVvYD1hoCwh7YSyI+yH66dUR1RktztlC0zK4hZc76GUbEXBlmommQSCJiyBCeTd4Dea+8bjZoykQNii6loZe5uIF2NVdhmoxJynh4abUbonjJSWJICgtSoIZQnsrGNArKQYToyY/k0ZJyQeF0jZRyxh0PMKVcHhbFahTCoHqpzCJh5DSGMmt8EGW8asLpbeaMtcix141CLjdGWGGhYR+vQZBmsSlZy8aIIui4HpERxj5qsUyFbRfFIQqlbq9JyZEuMwilsR8KVIyROScSp9fyo1YikU6UUQaS/HZh9cLGw/NiTTgPET6RrhXKkjUwrMRaN7TnRDe5h0gUUSMMmswTFSf6BvE1yHXsXvGwu0edDP1BYKYRSP0EEoSBX7eTBsSZ/Vt9HvfNfI75zmMY0S71mqJ7INVmIi+GzaEy6uinrhSGkEgU96YmnqxzRt8gU4nmGsYDwUyXI/8Wt1eY373qXmK8R9lAtReKfI013o+2yGSqTiVBRpib7A7H7ERGJEYDSUQMISg5DAkGb7undr+LnMn7pYBQWkBoJS8GBUf+aF0rwaPXKKJICcbnqG9aGHGhxzXkpslvVYiMMAwygueLgEQIIWLaIWqjiKkqswoVCV23McgFNBdsysKS5eh5jRFtY2JEI7cQEIwZhQcREcPcNWDQpBljTyi3ca3bECL/pktG1HUb3BPzVdXoUV+b1hejr191CAB5JtJL3ZOAglzqQ5j3QUYgW3RwGEWFsUbMhcXJPf83j4y/iDBy0JwU1cRonQ1C+Uaima/kaZ3u0u07vSyANhPMZQRSJ0SLZE6MKBoN73jHOwrBiTirW2Ly4iKGRbRMplfMppDtXDpUEp3BeVSnNoEOCIgjQILbqxGNdAGk67DVceol2kVROU4QEXTwQDvaoZ8FJIetOOVUYI/k6JAuMdv9YDJwimp7bY9ukxHqIQyinkqi90giYkhhIxf2RXngZRuUkBJWxftHEWccIRciR54BEOF7PIUQbQEZ4oOsZN8PUMalWzCuGXGM8six4jkSjkshJ2gp5cKVtRecT5iKMlt3vFBczHjxbjHM6n7Fxg+JZdOI1lRgnoy6AddrxDiKrIkNNtY6MuI///M/S0RKu5DYXNRtmEv0s/YKzxaFxpxtt4ILMsL8V6G9xqjP5enKPQpnpKr0sv4MUpvxYw2QMf0knHqFYYhAquEcpNKQ3wrKAWJTxAYiACHsnMgBBATlvV95xHPpUEl0BvIOsUiHq0kpqZaxx3Aq6VAkMkDBXWRk1IOZb7B+pRFJ90OGBbl5zjnnlPGg0ySmBuNXpyr2am8IR1A8F2Vmr2qTEZxcHC7zqT7bQkESEUMMwn9QXSbarbQohUI45WDVSoOwYxuYIoOdvBijrJS7Nh4AreiiLy/DQx0EyjnlkqEeuWq8YQyXXgrfYcBkyqxNmzKrUJUQdjmND3rQg8rGQKltt89CWKl5IF9vLvs4jwLMM+NI+WkTjjzxjMXpeA77WbdhPqATqRtzn+FUE3HAYHvFK14x3pJxFD1XvZJ7Xltc1EI36MJR19FBeEvTUn8GkJlkimOMQq2NYYhAirUtLUKUivsn8kxHEyCrRfQgJRFLxhYx0e/xnSuHSmJRRBqTFAAOFGkx0aYV1HnR+UVHmKjVYZ0qLDqsufa9mJ9kj32XvkN/CQJUZDC5iJRIDBYhH+wNomdF8diDtM4O4roTGYFUT4wekogYcgyyYF67ejJGGHPOG1hDsSkVsduvz5fxpkgyNgg77CvPlucEn6r9wdC6/l7lBw4DFqfMioyhzCKpeI2REsLkKLPRx1v+XjvUkffUe34zjeH/v8lSCCMFKl5DAkrFqAmdeG+qqRmdkOPeXdZRZGqPH0VUXRDhuUHEBSg6o5raMgxyL4qAhlFkTvO+isQDBKeICMYrI4BH/Re/+MXYsGMYIpCQRnKlORB4eBGXovZCfhtrkY7SI7QZHRQxPEiHSqIzVNC3joNQ4DxBRpgvjLxAGHr2HJ5l5Bqn03ySebGfxtq0FjhKdIOLQsTSbqWeWsvRHWc+jcEogNzSIpROKSrHfVHUNghw+xT9Ux2jTO0abSQRMQLod8G8bgKWh4pnUFh+XYhLbr/uGFr3zEdQtCnAGHJeUJszEgghFPUx5qtHp5syGwZZhCwyTIRt1p6SAw88sCg72lC1o0RsGvORuJouYt7oeW4METtCCik7kXYRZIS83UTvUa9dc5jBa867D6IAKKiUUEUxO5ER81Up7bfcQz5o0fiVr3xlnNRhsFM4pfaJtHr0ox897qW1DpZYYolCho5CIcO5jEAytoymOjVOLQ/GP0JJ16O5xKi17Z5vEPVk/Mm5yOGvyQjGXoCh95GPfKTIAemYo15bqI12eqOuIIgyHneRn/ZdURLSVbzu/6OQJjYfEPuLvYHjShpRzD0EKvkhpSzICBG3ouciKiIxmkgiYkTQr4J59eYiLJnHoq76zqjkwcKaY4kZooSzEN75sjF1U5xsxP4WihdnccrsscceW4yCdv58rXDzLiAjKDIzDd2e7xBueN/73nfswx/+cCm+hPTRj1yBz/BIRXvUz33uc3N9uvMWxl94Mu8/pdw9EFIf5BqD6eUvf3lR1Ocr6TpIuUe+qD9kT2EA2VeQ62HoKBSqnoB6FKAApH1Gx51RC7kddASSyCrjGbWbavmtmCb5bf8OzAWRPmptu+cbrD8RDlJyOpER9qGA/Ue9iPmW1qfjFxnEmK3nob1AhGdEakmx0r5YlJN9WApudBBL9BZf+tKXJhA9SGnOL1EQdM6Agqki6jhwREaEs2uqdbMSw4skIhIF2MaHPvShxQNFCa0NIGkauiEIg5I/LWdrvrHkk+X+MsQXQjXexSmzQuPMEbm+UR0+UD8XSXOve92rhDomGTE2YYxspirVy22sX5faYnx5gesIk35WoF6oME914FCIN7od8MqTcVGIMuYyclbu9CjXvhkmuYf0IRsQcVEToiYxFauMNJn3vOc9ReFsp3ol/i9q+SulhfzQ7cDr9b5sPye37d1BdM4VRqFt93wGQq8bGSENtyYjAvNJ9kmHFH1In5H+VTtd7Mv+wsDlZbcvICNGIT1sFCHSzXyMmiRA3uvqYj+WMlPLOfLDvsBhhjxqy7rEaCKJiAWKenFjINdff/3i9aN480ApXKaSfzvsXqGxdo7dfMZ8DymdjjIbRZ2Cge60Aag6bQPHcvt83S1jISHG1WPbi6JNmrz4NhRClI+b6D8QEYqwmctCcik9Bx10UHlPeO7BBx+8iBd+Pinkg5J7SOw6B12vdzJE6hHioW7BqUMHb5e9h3KqDlFd1DLxfxHyRA5/bdgjbZZaaqkScRWfMWcZVyLUeIMTCwfdDDT7PJKxTUYceuih46mV8x3kiugcHUJEC0lLQ0pbK+0ixRkF0d+5Ga1hkRJSIoEDi8OTXcL2qG0NMo9zoE4XT4w2kohY4ELA/7G9yId4XWoGZpwSKkQvgDUPZXwhCef5GFI6E2VWSz31IaQTdIMii2FMy/leyEDIMGojqiTyHbWx440XBlqvReTNOuusM++6sMw1Oskqc1o9AiG3vGN1S05F/KQIqOOxkDFbuWfc1YNQcEx3HUB2q1eA6GH0fOxjH5tARjCGrA9KqFpEic5zGXnGUyudSPTKmWeeWV6X669L0Yc+9KHS/cBY6mbE+EwsHNT7ipScww47rNR/inmAiG2TETzR3/3udxcM4Uo/OeGEE0rdmtVWW6142hm+naJCEr2fm/YVc1JHMPqRvYbuGGmQolekRiKm22REYn4hiYgFXkmZQYQR5oGqQUgwPL2v0naNhbJRzdeQ0pkqszYIOfU8+nUdkdrQU9hUHl87dWOhgaddIUpVuBX6Y3TZdIEyKB9VqHRt5FlvNuLsg90fhVzXAMRQKDRf//rXS8g6z3+AUUwWPv3pT1+Qcq7Xcs8Y8jQiMMmRGorCWReiJtp5vjn23UFpFy2i04hCe4qt6mQUeda8hQqvSnPx3igU+kz0L+UW2cDAllprXiABQS0WxWmlZLRTDxba+iOb6ED2bDKJ3pPo33580UUXFfLnUY96VOk0ZH7SRRWIViQ9ZBZyDBmh5bBI3YU2LxcKkohYoEo5hlHovKI9lG6KDW94DUaSXC1VzBeyUTkfMVNlVutW+d0iaOqwaQZctPxUcT/xfzuMqLlivMLjHkYwxY+CiASS9iJVA/kjTSrRe+y9995F6dbt541vfGOZ82D+k4Pekxpjzq+77rrjNXBS8Zk9jKG6M8iIujZKTUbsu+++c16/YNhhD0am2a85ESKEmdx+wxveMGGP5k3k8fWYWJiQRotkEO5u3+E8YNSJ9oo6UNrwSodiBC5E1GtGpNa73/3usg/X3cASvSch6J677bZbccooSCk6Z9NNNy1yTaHKmowgw0Qu0pOyXtD8RBIRCxA//OEPSzFKxijIHWV4rr322qWdXTu8PARIkhGjj9kqs+aCuSPcWlVj+d+qa4uSEC1x/vnnz8l1DRuMI8WPkaU4n9D0SNOI9WTdiTaS9sIjk4Upe4e6voOiqdoQI19F65irKqdLPwKP22yzTYlIQVjMt0rxc5WTXpM4QUYg5rS4rBH1h9SMSEwOkSOIYelD9mYRPXUoeXSASSTIPUYdxL6uKCCj7wUveMH450RGLOSCf229Ngts93dfFg364he/eMLr6jNxCHB+kmEKiSIjQp8k0zK9bP4iiYgFBiyjUCgKoXzAgEWOhEBGqCrcxkLeqOYbeqHM8vbL6dNnXNgcT4ICdwsdodREX2seJwVgeYOlaUQ+fNvTnp733uGII44okQ2IHwWtzNG6DRjCR1SEVp3dIlDyfswMPImi7JBwbQVflEk3MkLEUBJxk9fyCSgo/Pa3v71Eq5EpEb1z4403lvDySAFLLBzo7kBvo8MFweq5aIdIrwqZ9oMf/KAUi1WgsUbqeIl+w35MfnEG1B2ZzEnOgtgD7BMiIBBpIigS8xtJRCww6GLAA4WVpMS02zfavB70oAeN5xEmRh/9UmbTWOs8zozezTffvBjEEW6uHgcyggEcZITCnp/97GcnfDcxe5BhQpCBsq34KnKtxgUXXFCKlKnfAQuxCG+vQYaQK6IbpMDIT4/2qAEyKNI02jUjEhMRc1EEo0J6QZrZv0Wfqd9UAwEk57qu35OY/1DPQJqfPWeVVVYp0V7mDBlnLUaR5DoFQccgxZITiblqD41oQDxwjJm/UjVqKHSMsODMScxvJBExj9GN4VYx2eZ0//vfvyiLNSx6JEQamfMD/VRma6MtDbj/CwYvj68CfO32Uip0M8BswAxln8v+5L2H6J5oj4p4FR2BnGgXRNQVKI3h3mKfffYpnZZ4uHhneble+cpXFnlT70fICEaSVJlEd6jJI59a4eCf/exn5TXhy6997WvH1lxzzZJOp822FDndXxifiYVFQihCefTRR49HRtDrdJ0B+5A0SmmYomHtSerh8DRnBERiLskI81C9EntEvQ+HUwykESfmP5KImKeoNxm1ILQGRDCEVzwiIx784Ad3VQaTjJgfSGV2MKDkSW1SQyNqDIiIkJoRpMRZZ51VNuCXvexlGXLYQ5BnAYZvKOJBrkk/0iUjIlSQEsKWP/WpT83J+c5X8LYyhELOiLJTB4X8Md5SMH7zm9+U97797W9nUbhJwFvIwy1/ug1pdQp98mw/8YlPLIVWs93pwltryLx2Ku0KK6xQCv+pdcCQ04aYsSdS4uEPf3hZh2HsJRmRmEsyQi0IBc5PO+20CU6tdGwtLNzDP01iXsEtvcc97lH+/573vKc56qijmgc84AHNfe973+bOO+9sfvjDHzbLLbdcc8sttzTf+MY3mg9+8IPN85///Obzn//8XJ96ose47LLLmmc+85nN7rvv3uy8884T3rvyyiub733ve82XvvSlZumll25WXXXV8rl11llnzs53lHHdddc1z33uc5uPf/zjzVOe8pTmU5/6VPPd7363ueKKK8qa9P/HP/7xzV133VU+bz0mZo+f/vSnzZ577tm8733va57+9Kc32223XfPQhz60+djHPjb+mde85jXNiSee2DzpSU9qVlxxxeaCCy5obr311vJ473vfe07Pf77hXe96V/P73/++yJX//M//bF760pc2F110UbPRRhs1v/3tb5uzzjqr2XfffZu3vOUt4/tUYuK+DSeddFLztre9rTnllFOaFVZYobz2r3/9q7nXve61yHf/+c9/5jxeYPjNb37T7Ljjjs0DH/jAZo899ih7yzbbbNOccMIJzRZbbNHcdtttzf3vf/+y/pZaaqnmv/7rv5oll1yy+e///u8yh3LOJOYadKM3v/nNRfaZw5tuuulcn1JiDnDPuThoor8IZeZ///d/m8MOO6yQDRRuyvjFF19cFvv111/fPPjBD2623Xbb5p3vfGcxopKTGn207+E111xTlI/nPe95469RZmH11Vdv3vSmNzUXXnhhMeYOPfTQJCEWg3//+98dnxt340rx22+//ZqVV165OeeccwoxgYBYZZVVymMQEElC9A4PechDyqNxP/vss8u9QLzWOOSQQ5qPfvSjzSMf+cjml7/8ZbPxxhs3559/flHEYz0kegOEw1VXXdXc5z73aV772tc2p556avPNb36zyJcvfOELzSc+8Ylm8803TxKiC8gNRA5DkuMgYF4HCWFMkTuBTuREYn5jjTXWaA4++ODm7rvvbj7wgQ8UktV+//Of/7z5zne+03zoQx8q+w+SdpdddikOqcc+9rFlrpB5SUIk5hqPeMQjmv3337/5j//4j2KH2L8TCw8ZETFP8Yc//KF573vf2zzrWc9qXvziFxeW/BWveEVZ7Mcdd1xzxx13jHtabr/99uIRpxi2vTKJ0ULcP8os4/cnP/lJ8+53v7s588wzy72u7y9lljdlvfXWm/DdxOS4/PLLm69+9avNTjvtVMa4HrPTTjutkH28Ta985SubZZddtrz+jGc8o9lqq62aXXfddQ7PfP57VnjgKTPLLLNM8QDG9sYoRhr96U9/Kvfhwx/+cHk9vYL9gYig008/vdwDkSghYxKLopa7ItTMT3LbnrzBBhuUiEWRajXe+ta3lqhGsj3n78KGyIg3vOENzc9+9rNC9L3kJS+Z8D5Ci7PhiU98YhJWiaHVqUREcCbQqRILC0lEzGNQatZdd93m5ptvLiF7u+22W2HGDzjggBIWy3v761//etyjmIbo6CKV2cHgH//4R4ko4nXC5m+99dbNhhtuWMi+QG3c8mjuvffexXMl6sR3Ev3Br371qzKnERErrbRSIV5FerlnQpMp4dJipMy4Pynveo8YU+SDtAJpStL+cqwXj5tuuqk4DJBlHAbwmc98pnn7299evNoMTHP4i1/8YvmT4rLmmmvO9WknhgDSLN/4xjc297znPYsDCunQiWjtltqTSMw1RPZwGCQWHtL6mAdQ60GaRSCUPtEQcPzxxzePetSjiocWGJ877LBD8RrW30tFcXQR944yK6x3n332GVdGsMyUWUpJrcxK26HMJgkxdQghRDq87GUvax796Ec3Z5xxRvP617++RBltsskmheiL8RQ1Iero5JNPLoZZkhD9BaOM4cYAptQg4xCxnZAKeX/l0Prrr18iUM4777xCROTeMjk4BNZaa61S20RIfUBdH2SyaB/ebml29ndyJUmIRECaJdnHwYT4Vi8HYd7e21PmJYYVSUIsXGSNiBEHL+uLXvSi4v0OtJU+9SDOPffc5n73u1/z17/+tTniiCOa5ZdfvuTqRr5gYn4os0KhhbhJuaiVWcQDckJuNgNNDmkqszODCBM5ucbY4yWXXFJIBkX6nvCEJ5SxtuYUD1tttdVKuobc3ET/4T4g3shAEWDSA2pEAGAq5P2F/eX9739/iT6x9yQWP14i1v74xz+WKJ6Yq4jP7bffvvnFL37RHH744UW22OtTniQ61YyQb0+2iQwzZxKJRGLYkakZ8yAcmUcWyUCR6VR1Vg4hr9Tvfve7UjHeLbdJpSd8fkEuKLIBwWQuMJLrkGgV60PJVbQPaZHofWcAhfqkB1AKRR4l0z94kHkiI2688caSFqNSfGKwsN+IwhMZJFUm8f/RKVXl73//e5HZOop87WtfK1FX/6/Fegm5TySm2inLvmQe5bxJJBLDjiQi5onSLSSv3QJHaGxsRD7DU8hj+/KXv3y8Wnx6BkcXqczOHXQB+OQnP1k87opWyu0WYaLrCHJQ6z3RJ9mFZO6QCvncgzxC1CUWlduiGRGWOh1sueWWzWabbVYcCiJ57NVf//rXS1errK+RmClqHTCRSCSGEUlEzEMyQn5g1AcAXsHtttuu1IlgPEGSEKONVGbnHtkZYHSQCnlimPDtb3+7pFyQzSJHpGSIVtRqW32Tvfbaq7Tf/vznP1/27kQikUgk5iOSiJjnkRFICMX1KDta5Mg5TaN0fiCV2blBdgZIJBIzJcC0mlVIWmcMaZVIZIVvFbqVWgfkN9ly5JFHNldffXUpWJlIJBKJxHxDuojmYbEixpDKybplvOpVryoGapAQOieksTR6ymwblFltN4WdK2B20EEHlVB0c0BNAlERqq/vuOOOpWPGX/7ylzk594XSGaB+PZFIJIKEQCToqhPgHCCjkRDq9jz5yU8uKXRBQohw8z21fsj0JCESiUQiMV+RRMQ8JiO23nrrUr1fEb0gIbJA5WghldnhRXYGSCQS3UD+3nDDDaXLznve855SsweWWGKJZtllly3OAeldUuoQyfCzn/1sPArC5x7ykIfM8VUkEolEItE/pFU6T8kI9QH0llYTAvmQJMToK7PLLbdcc/vtt5dK9LUy+4xnPKN55jOfuYgy633tDH020R+oyeHerLDCCnN9KolEYghbKv/pT39qHv7wh5cCt+S5VEnpGGo2vfGNb2w+85nPjH9ea+0LL7ywWWaZZeb0vBOJRCKRGATSMp2nWGuttUpkBCQJMdpIZXZ4oSbH9773vewMkEgkFsFTn/rUUsfn/PPPL3uwej0PetCDmmOOOaZELN58883lPd1F1Pz58pe/XAoQI5ETiUQikZjvyGKVicQIQK0HCqsoF8rr7rvvXro1UGY32WST0iUjlFktCymz66677lyfdiKRSCzIwpR33XVXc9/73rcUtT366KNL6hwigvwmz1dbbbVmhx12aP72t7+Vmj4PfOADm8997nPNYx7zmDm9jkQikUgkBoUkIhKJIUIqs4lEIjGacvu6665rfv7znzcveMELxt8jq9XwedOb3lQi2XTHEOH2rne9q6TV6Xblu+pBkN+JRCKRSCwUJBGRSAwJUplNJBKJ0QS5/djHPrbIZe05tUxGCD/ykY8sHax0OPrWt75Vuli9733va2699dbymWytnEgkEomFiuyakUgMCYKEoMy+8IUvbLbaaqvmqKOOKjUiFKrUEeMb3/hG6Yiy1157lVxjXTEOP/zwZu21127WXHPNJCESiURijohkdXw23njj5g9/+ENz8sknF5L4C1/4QnPnnXc2D3jAAwrBTFZ/+MMfbu51r3sVYuK2226b61NPJBKJRGJOkBERicQQQQHKF73oRaXdqrSMxz3ucUWhfe9731uKT371q19t3vCGNxSP26WXXtrsuuuupSuG1ym6iUQikZgbiEzTqhMp8epXv7qQxp/+9KeL7D722GObDTfcsPnJT35SWi//6le/apZaaqlmpZVWmuvTTiQSiURiTpBERCIxZEhlNpFIJEYTZPLb3va25l//+lfpZqSzzsUXX9zsvffezbbbblvaL1O7yPVEIpFIJBYykohIJIYQqcwmEonE6JLJ6vnAnnvu2Wy66aZzfUqJRCKRSAwdkohIJIYUqcwmEonE6Mrvt7zlLYUwVpzyiU984lyfUiKRSCQSQ4UsVplIDCnWWGON5oADDihFLBU3O/300+f6lBKJRCIxRfm9//77l3o/uhudffbZc31KiUQikUgMFZKISCSGGKnMJhKJxOjKb2071fBZYYUV5vp0EolEIpEYKmRqRiIxArj88subPfbYo9lvv/2aVVZZZa5PJ5FIJBJTxN13312KCycSiUQikfj/SCIikRgRpDKbSCQSiUQikUgk5gOSiEgkEolEIpFIJBKJRCIxMGSNiEQikUgkEolEIpFIJBIDQxIRiUQikUgkEolEIpFIJAaGJCISiUQikUgkEolEIpFIDAxJRCQSiUQikUgkEolEIpEYGJKISCQSiUQikUgkEolEIjEwJBGRSCQSiUQikUgkEolEYmBIIiKRSCQSiURimth+++2b5z//+XN9GolEIpFIjCSSiEgkEolEIjFw/OEPf2je/OY3N6uttlpz3/vet1l55ZWb5z73uc0pp5zS82NdffXVzT3ucY/mXve6V/O73/1uwnu///3vm3vf+97lfZ9LJBKJRCLRfyQRkUgkEolEYqBg8K+//vrNj370o2bfffdtLr744uakk05qNttss+aNb3zjjH/3X//6V/Pvf/+76/srrrhic9hhh0147Stf+Up5PZFIJBKJxOCQREQikUgkEomB4g1veEOJQDj33HObF77whc0jH/nIZp111mne/va3N2efffb45z75yU826667brPUUkuViAnfu+OOO8bfP/TQQ5tlllmmOe6445pHPepRJbLi2muv7Xrc7bbbrjnkkEMmvOa519uExo477tg8/OEPb5ZYYolmzTXXbD796U9Pek0/+9nPmuWWW675+Mc/Xp7/+c9/bl772teW1+5///s3T3va05qLLrpo2mOVSCQSicR8RBIRiUQikUgkBoY//elPJfpB5AOCoQ3EQuCe97xns//++zeXXHJJiVwQQbHbbrtN+Pzf/va3Yvx/6UtfKp97yEMe0vXYz3ve85pbb721Of3008tzj55LCakhqmKllVZqjj766ObSSy9t9txzz+a9731vc9RRR3X8Xee1xRZbNHvvvXfz7ne/u7z24he/uLnpppua733ve815553XPO5xj2ue/vSnl+tPJBKJRGKh495zfQKJRCKRSCQWDq644opmbGysWWuttRb72be+9a3j/3/Ywx7W7LXXXs3OO+/cfPaznx1//R//+Ed5vt566y329/7jP/6jeeUrX9l8+ctfbp74xCeWR8+93v7cBz/4wfHnIiPOOuusQkS85CUvmfDZ73znO82rX/3qQoRsu+224wSHaA9EhCgN+MQnPtEcc8wxzTe/+c1mp512Wuy5JhKJRCIxn5FERCKRSCQSiYEBCTFV/PCHP2w++tGPNpdffnlz++23N//85z+bv//97yUKYskllyyfuc997tP893//95R/c4cddmie8IQnNB/5yEdKxAOCwe+2ceCBBxaiQqrHnXfe2dx9993NYx7zmAmfOeecc5oTTjihkAt1Bw0pGFJIHvzgB0/4vN+58sorp3yuiUQikUjMVyQRkUgkEolEYmBYY401Sn0I5MLiClo+5znPaXbZZZeS8vCgBz2oRBqo3YAUCCJCDQe/N1WoOSEa42Uve1mz9tprN49+9KObCy+8cMJnjjzyyOad73xns99++zWbbLJJs/TSS5eimoiHGquvvnohGxAWW2211XhkBRLioQ99aHPqqadOmnqSSCQSicRCRdaISCQSiUQiMTAgFLbccssScfDXv/51kfcVeQR1FdRqQAZsvPHGpaDlDTfc0JNzEBWBJPDYCWeccUaJmlAc87GPfWzziEc8omMkw7LLLlvqQ0g3kbIhTQTUg9CeVFtQ363/fCeRSCQSiYWOJCISiUQikUgMFEgInSk23HDD5lvf+lbzm9/8prnssstKYUoRCMBoZ9h/5jOfaa666qrmq1/9avO5z32uJ8d/3ete19x8882lq0W3qI2f//znzfe///3m17/+dbPHHnuUrhidoDgmMkKEhygLaR6bb755uQ7pGj/4wQ9KdMeZZ57Z/M///E/53UQikUgkFjqSiEgkEolEIjFQrLbaas3555/fbLbZZs073vGOkh6h68Qpp5zSHHTQQeUzik9q36kjhvcPP/zwUi+iFxCpIDLBYye8/vWvb7bZZptSfHKjjTZqbrnllhId0Q3/9V//VciIiy++uHnFK15RIjlOPPHE5slPfnLzmte8pkRzvPSlL22uueaaZvnll+/JNSQSiUQiMcq4x9h0qkYlEolEIpFIJBKJRCKRSMwCGRGRSCQSiUQikUgkEolEYmBIIiKRSCQSiUQikUgkEonEwJBERCKRSCQSiUQikUgkEomBIYmIRCKRSCQSiUQikUgkEgNDEhGJRCKRSCQSiUQikUgkBoYkIhKJRCKRSCQSiUQikUgMDElEJBKJRCKRSCQSiUQikRgYkohIJBKJRCKRSCQSiUQiMTAkEZFIJBKJRCKRSCQSiURiYEgiIpFIJBKJRCKRSCQSicTAkEREIpFIJBKJRCKRSCQSiYEhiYhEIpFIJBKJRCKRSCQSzaDwfwAio+83YKf0zQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "sns.boxplot(x=\"Car Make\", y=\"Price (in USD)\", data=df)\n",
    "plt.xticks(rotation=45)\n",
    "plt.title(\"Распределение цен по брендам\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "68407a45-a31a-467b-aa44-ebd867245266",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Обработка данных: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1007/1007 [00:00<00:00, 742556.98it/s]\n"
     ]
    }
   ],
   "source": [
    "for i in tqdm(range(len(df)), desc=\"Обработка данных\"):\n",
    "    pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "09797018-0973-48db-b7db-58e91b61bd6b",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"Price (in USD)\"] = (\n",
    "    df[\"Price (in USD)\"]\n",
    "    .str.replace(\"$\", \"\", regex=False)\n",
    "    .str.replace(\",\", \"\", regex=False)\n",
    "    .astype(float)\n",
    "    * 1.01\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "e69a5611-29ac-4021-89f8-115337b4922d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "float64\n",
      "0    102212.0\n",
      "1    277133.9\n",
      "2    337087.5\n",
      "3    144127.0\n",
      "4    300980.0\n",
      "Name: Price (in USD), dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print(df[\"Price (in USD)\"].dtype)\n",
    "print(df[\"Price (in USD)\"].head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "289ae860-3d36-4c42-9afe-0a17040249a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Car Make\n",
       "Bugatti          3.284476e+06\n",
       "Koenigsegg       2.935733e+06\n",
       "Pagani           2.819583e+06\n",
       "Pininfarina      2.525000e+06\n",
       "Rimac            2.424000e+06\n",
       "W Motors         2.238833e+06\n",
       "Shelby           1.010000e+06\n",
       "Lotus            5.135202e+05\n",
       "Lamborghini      4.302067e+05\n",
       "Ferrari          4.142001e+05\n",
       "Ford             3.725178e+05\n",
       "Rolls-Royce      3.365673e+05\n",
       "McLaren          3.007859e+05\n",
       "Ultima           2.222000e+05\n",
       "Bentley          2.177853e+05\n",
       "Aston Martin     2.172299e+05\n",
       "Mercedes-AMG     1.710573e+05\n",
       "Mercedes-Benz    1.663080e+05\n",
       "Tesla            1.641526e+05\n",
       "Acura            1.594528e+05\n",
       "Polestar         1.565500e+05\n",
       "Maserati         1.491328e+05\n",
       "TVR              1.419050e+05\n",
       "Porsche          1.307732e+05\n",
       "Audi             9.481368e+04\n",
       "Lexus            9.416113e+04\n",
       "Jaguar           8.394952e+04\n",
       "BMW              8.093547e+04\n",
       "Ariel            7.575000e+04\n",
       "Alfa Romeo       7.487540e+04\n",
       "Alpine           7.221500e+04\n",
       "Dodge            7.168660e+04\n",
       "Chevrolet        5.579939e+04\n",
       "Kia              5.272200e+04\n",
       "Nissan           5.125968e+04\n",
       "Toyota           4.350272e+04\n",
       "Subaru           3.855170e+04\n",
       "Mazda            2.709830e+04\n",
       "Name: Price (in USD), dtype: float64"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(\"Car Make\")[\"Price (in USD)\"].mean().sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b26ba00b-bfd0-4a04-bad4-60d83cde9f00",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "80f1b94f-c6de-4cd4-83c6-93aa1c70e3a9",
   "metadata": {},
   "source": [
    "## Вывод\n",
    "\n",
    "В ходе анализа было выявлено:\n",
    "- Существует сильная зависимость между horsepower и ценой автомобиля\n",
    "- Бренды премиум-класса имеют значительно более высокие цены\n",
    "- Распределение цен имеет выбросы (очень дорогие автомобили)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bde97e74-28c5-4896-962e-77d38c11be0e",
   "metadata": {},
   "source": [
    "# история до numpy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "41a4780e-32eb-4cc8-9188-3d652df220d1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Имя</th>\n",
       "      <th>Возраст</th>\n",
       "      <th>Баллы</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Анна</td>\n",
       "      <td>21</td>\n",
       "      <td>89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Борис</td>\n",
       "      <td>22</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Виктор</td>\n",
       "      <td>23</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Галина</td>\n",
       "      <td>24</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Имя  Возраст  Баллы\n",
       "0    Анна       21     89\n",
       "1   Борис       22     76\n",
       "2  Виктор       23     95\n",
       "3  Галина       24     82"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "data = {\n",
    "    \"Имя\": [\"Анна\", \"Борис\", \"Виктор\", \"Галина\"],\n",
    "    \"Возраст\": [21, 22, 23, 24],\n",
    "    \"Баллы\": [89, 76, 95, 82]\n",
    "}\n",
    "\n",
    "df = pd.DataFrame(data)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "6aa23b72-19e9-4e5e-b975-1e5aba57497f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Имя</th>\n",
       "      <th>Возраст</th>\n",
       "      <th>Баллы</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Анна</td>\n",
       "      <td>21</td>\n",
       "      <td>89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Борис</td>\n",
       "      <td>22</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Виктор</td>\n",
       "      <td>23</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Галина</td>\n",
       "      <td>24</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Имя  Возраст  Баллы\n",
       "0    Анна       21     89\n",
       "1   Борис       22     76\n",
       "2  Виктор       23     95\n",
       "3  Галина       24     82"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "6e0d3d4a-4d8b-4882-a8cc-2fe4dde15950",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 4 entries, 0 to 3\n",
      "Data columns (total 3 columns):\n",
      " #   Column   Non-Null Count  Dtype \n",
      "---  ------   --------------  ----- \n",
      " 0   Имя      4 non-null      object\n",
      " 1   Возраст  4 non-null      int64 \n",
      " 2   Баллы    4 non-null      int64 \n",
      "dtypes: int64(2), object(1)\n",
      "memory usage: 224.0+ bytes\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "b3402035-d8f1-4360-93a2-e3424c520c5c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Возраст</th>\n",
       "      <th>Баллы</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>22.500000</td>\n",
       "      <td>85.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.290994</td>\n",
       "      <td>8.266398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>21.000000</td>\n",
       "      <td>76.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>21.750000</td>\n",
       "      <td>80.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>22.500000</td>\n",
       "      <td>85.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>23.250000</td>\n",
       "      <td>90.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>24.000000</td>\n",
       "      <td>95.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Возраст      Баллы\n",
       "count   4.000000   4.000000\n",
       "mean   22.500000  85.500000\n",
       "std     1.290994   8.266398\n",
       "min    21.000000  76.000000\n",
       "25%    21.750000  80.500000\n",
       "50%    22.500000  85.500000\n",
       "75%    23.250000  90.500000\n",
       "max    24.000000  95.000000"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "a4ddaa58-173b-46e4-8dd6-20725f5afbff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Имя        0\n",
       "Возраст    0\n",
       "Баллы      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "40bf4abf-46af-41aa-844e-ebe4a0a231b9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Имя</th>\n",
       "      <th>Возраст</th>\n",
       "      <th>Баллы</th>\n",
       "      <th>Новый</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Борис</td>\n",
       "      <td>22</td>\n",
       "      <td>76</td>\n",
       "      <td>83.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Виктор</td>\n",
       "      <td>23</td>\n",
       "      <td>95</td>\n",
       "      <td>104.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Галина</td>\n",
       "      <td>24</td>\n",
       "      <td>82</td>\n",
       "      <td>90.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Имя  Возраст  Баллы  Новый\n",
       "1   Борис       22     76   83.6\n",
       "2  Виктор       23     95  104.5\n",
       "3  Галина       24     82   90.2"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df[\"Возраст\"] > 21]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "56ef8436-e59c-4b85-8d53-7c8b3263795b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Баллы</th>\n",
       "      <th>Возраст</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Категория</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>A</th>\n",
       "      <td>92.0</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>B</th>\n",
       "      <td>79.0</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Баллы  Возраст\n",
       "Категория                \n",
       "A           92.0       23\n",
       "B           79.0       24"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"Категория\"] = [\"A\", \"B\", \"A\", \"B\"]\n",
    "\n",
    "df.groupby(\"Категория\").agg({\n",
    "    \"Баллы\": \"mean\",\n",
    "    \"Возраст\": \"max\"\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "5f4961fc-a7fa-4efe-a4a2-4733f13458fc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    <tr style=\"text-align: right;\">\n",
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       "      <th>Имя</th>\n",
       "      <th>Возраст</th>\n",
       "      <th>Баллы</th>\n",
       "      <th>Новый</th>\n",
       "      <th>Категория</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Анна</td>\n",
       "      <td>21</td>\n",
       "      <td>89</td>\n",
       "      <td>97.9</td>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Борис</td>\n",
       "      <td>22</td>\n",
       "      <td>76</td>\n",
       "      <td>83.6</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Виктор</td>\n",
       "      <td>23</td>\n",
       "      <td>95</td>\n",
       "      <td>104.5</td>\n",
       "      <td>A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Галина</td>\n",
       "      <td>24</td>\n",
       "      <td>82</td>\n",
       "      <td>90.2</td>\n",
       "      <td>B</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Имя  Возраст  Баллы  Новый Категория\n",
       "0    Анна       21     89   97.9         A\n",
       "1   Борис       22     76   83.6         B\n",
       "2  Виктор       23     95  104.5         A\n",
       "3  Галина       24     82   90.2         B"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"Новый\"] = df[\"Баллы\"] * 1.1\n",
    "df"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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