{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "fbe061be",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pylab as plt\n",
    "from pprint import pprint"
   ]
  },
  {
   "attachments": {
    "Rectangular%20Corner%20General.png": {
     "image/png": 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    }
   },
   "cell_type": "markdown",
   "id": "ef87215a",
   "metadata": {},
   "source": [
    "# 1. Adjustable parameters\n",
    "\n",
    "First thing we need to do is physically define our problem. \n",
    "<br>\n",
    "The easiest place to start is with what we already know about the situation. <br>\n",
    "Take a look at the drawing below. This is a general depiction of the situation we will analyze in this script.\n",
    "![Rectangular%20Corner%20General.png](attachment:Rectangular%20Corner%20General.png)\n",
    "\n",
    "## Knowns that come from the problem situation\n",
    "\n",
    "Our given situation tells us a temperature along the inner side of the corner and that the outside of the corner is exposed to convection. The material is assumed to be specified, so thermal conductivity is another known. Thus, right away, we already have things given to us or they can be referenced in a table or can be estimated with justifying reasons.\n",
    "\n",
    "<br>\n",
    "Below are sample values with justifying reasons in the comments. Feel free to change it to whatever your situation is. Don't forget to comment your reasons for picking those values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "06e3a8bf",
   "metadata": {},
   "outputs": [],
   "source": [
    "h = 10 #convection coefficient for air (this was sourced from a table that table that was found via google search)\n",
    "T_inf = 300 #a hot summer day (~80F)\n",
    "\n",
    "k = 0.04 #a typical thermal conductivity value for expanded polystyrene (from google search), which is a common material for coolers \n",
    "         #NOTICE: We have a single value for k. What assupmtions are built into doing that?\n",
    "    \n",
    "T_int = 277 #from a general google search, this is a recommended maximum temperature for a cooler (~40F)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3e838754",
   "metadata": {},
   "source": [
    "## Geometry\n",
    "The corner has a fixed angle of 90°, so no need to make a variable to specify that. <br> \n",
    "To fully specify the corner geometry, we need to know where the 90° turn is and the overlength of both sides.\n",
    "\n",
    "\n",
    "```a``` and ```b``` are the parameters that locate the 90° turn, and ```d``` and ```c``` add with ```a``` and ```b```, respectively to give the entire length of the side in question. Thus, these four parameters fully specify the corner geometry.\n",
    "<br>\n",
    "<br>\n",
    "In this script we will tackle a simple corner geometry, because the goal of this script is to demonstrate numerical methods rather than posing and solving the most arbitrary corner geometry possible. So, all four lengths are the same, i.e. this is a symmetric corner. It is sufficient to only specify ```a```. Feel free to change it to what you want."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d9de94f9",
   "metadata": {},
   "outputs": [],
   "source": [
    "#half length of one side\n",
    "a = .02  \n",
    "\n",
    "#all other dimensions are the same, so that we have a symmetric corner\n",
    "d = a\n",
    "b = a\n",
    "c = a"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c826b5b9",
   "metadata": {},
   "source": [
    "## Domain partitioning\n",
    "\n",
    "With properties and geometry specified, the next thing we have to do is break up (partition) the geometry (the domain) into smaller pieces. For a rectangular corner, an easy way to partition is to cut it up into small rectangles. The height and width is something we get to decide. Below you will find a parameter you can adjust: ```I```.\n",
    "\n",
    "\n",
    "```I``` is the parameter that sets the number of partitions in the x direction, specifically from the top left edge of the corner to ```a```. This parameter can be any value greater than or equal to zero. \n",
    "\n",
    "<br>\n",
    "You can adjust the parameter how you want; just keep in mind that going too high will create a problem that requires too much computer memory to solve."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "78705b59",
   "metadata": {},
   "outputs": [],
   "source": [
    "I = 10 #number of nodes desired between the top left corner and a (I can be any integer greater than or equal to zero)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48d50387",
   "metadata": {},
   "source": [
    "We have specified how we want to partition one segment, and that is all we need because each one is the same length as ```a```. What we can then do is partition all the other segments in the same way too. ```J``` tells us how many nodes are in between ```a``` and ```a+d```. \n",
    "<br>\n",
    "<br>\n",
    "Finally, we need the height and width of the small rectangles (which are now squares, why?). We will call these small squares nodes. Each node has a width $\\Delta x$, and because it is a square, the height $\\Delta y$ is equal to $\\Delta x$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "309fea52",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "dx:\n",
      "0.0018181818181818182\n"
     ]
    }
   ],
   "source": [
    "dx = a/(I+1) #width of each node\n",
    "J = (d/dx) - 1 #number of equally spaced nodes between a and a+d\n",
    "\n",
    "dy = dx \n",
    "\n",
    "print(\"dx:\")\n",
    "pprint(dx)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2fd47cd8",
   "metadata": {},
   "source": [
    "Finally, we want to know how many nodes we created in either direction.\n",
    "\n",
    "<br>\n",
    "We will call the total number of nodes in x as $m$. <br>\n",
    "Because of symmetry, the total number of nodes in y, $n$, is the same as $m$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "001c0258",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "m:\n",
      "23\n",
      "n:\n",
      "23\n"
     ]
    }
   ],
   "source": [
    "m = int(I+J+3) #total number of nodes in x\n",
    "print(\"m:\")\n",
    "pprint(m)\n",
    "\n",
    "n = m\n",
    "print(\"n:\")\n",
    "pprint(n)"
   ]
  },
  {
   "attachments": {
    "Rectangular%20Corner%20various%20CVs.png": {
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LfkLeCwAAAAAAIAOR9wIAAADSgLyXibwX4HXkvUzkveAn5L0AAAAAAAAyEHkvAAAAIA3Ie5nIewFeR97LRN4LfkLeCwAAAAAAIAOR9wIAAADSgLyXibyXL33xxRejotmzZ4/0gI+Q9zL5Pu+1fft2Wc+FffXVV9IDPkLeK6ts27ZN1nNhBw4ckB4AAAAAACAzkPcCAAAA0oC8l4m8ly+tX79eClxYfn6+9ICPkPcy+T7vtWrVKvlVCysoKJAe8BHyXlllyZIlUuDCPv/8c+kBAAAAAAAyA3kvAAAAIA3Ie5nIe/kSea+sQt7LRN4LfkLeK6uQ9wIAAAAAwCvIewEAAABpQN7LRN7Ll8h7ZRXyXibyXvAT8l5ZhbwXAAAAAABeQd4LAAAASAPyXibyXr5E3iurkPcykfeCn5D3yirkvQAAAAAA8AryXgAAAEAakPcykffyJfJeWYW8l4m8F/yEvFdWIe8FAAAAAIBXkPcCAAAA0oC8l4m8ly+R98oq5L1M5L3gJ+S9sgp5LwAAAAAAvIK8FwAAAJAG5L1M5L18ibxXViHvZSLvBT8h75VVyHsBAAAAAOAV5L0AAACANCDvZSLv5UsZkvfKDZIXcAx5LxN5L/gJea+s4lzea/r06e+88468AAAAAAAAKSPvBQAAAM/YvXv3hx9+OH78+L59++bk5Nx2221Dhw6dOHGiLXeP8vLy5s2bt3//fnmdiB9//HHatGnqRzp48KAcKg55LxN5L19KKO/l3OquXr16IBCYMGGCvIYzyHuZyHvBT8h7ZRWH8l5t2rRR38Xq+11e223w4MHdunXjAaIAAAAAgKxC3gsAAACZbv/+/c8++2xOTk4gtvLly+fm5q5fv17GJK5WrVpqntKlS7dt21adzmLw64033ujWrZs6u/4xrN/qJu9lIu/lS1byXk6v7q1bt8osgUCrVq3UPEuXLv3ss88OHz4sPWAT8l4m8l7wE/JeWcWJvNekSZP0F7ETeS/1PmzXrp2e3/efvQAAAAAAmMh7AQAAIHMdPHiwV69eFStWDAQCp5xySt26dTt37jx06NCXX3757bfffvrpp//85z/rGzxhN9xww2effSbjEyHjDTk5OTfddFP//v1HjBjx0ksvLVy4cPbs2c8+++wjjzzSo0eP66+/Phzz0rp06SJzWUDey0Tey5fi573cWd1vvPGGDHaAnANB5L1M5L3gJ7bnvdjXL5PZnvf697//Ld+aDuS91B8MNWrUkNnJewEAAAAAsgz/CzUAAAAy1Lp16xo0aBAIBE444YSBAwfu3r1bGgqbP3/+nwvnQqpVqzZnzhxptkwGJ2vAgAEykTXkvUzx816O7uNZrC+++GLhwoVPPvnkvffeq87evXv33NzcqVOnrl27Vnoghjh5L9dW96hRo2Sk3dq0aSPnQFByeS/3V/eWLVvmzp07fPhwda5WrVrdfffdjz766Msvv7x69WrpkSDyXqb4eS/3y33gwIElS5a88MIL/fv3V2dUp1OfKnv27JFmWGNv3sveff2OHDmyYsUKVeL77rtPzXn99derKs+YMUN9R//444/SCYmwPe/VuHFj/b2p2FX3ffv2TZgwQf1UMm8IeS8AAAAAQFYh7wUAAIBMNHfuXP30rJtvvnnVqlVyNLa77rpL3+kJS/SWjwxLyogRI2QWy8h7maLmvdzZxzOWgwcPjh8//uqrr5YzRTj55JNVEVU3GYAIsfJeY8eOdW1133PPPTLGblOmTJFzICihvNeOHTtGjRrVpEkTuZrR2L66Z86c2bBhQ5k9mo4dO86ePVt6W0beyxQ175WWD/M333xTfcLI7BHq1KkzfPjwn376SXojLhvzXjbu67dv3z71nqlcubKeMJJqUh1UNxkAa+zNe73yyitSj6Ck6/7ll1+q9+GMGTMee+yxa665RqaL4PvPXgAAAAAATOS9AAAAkHH27t1brVq1QCDwyiuvyKHiHDx4sFatWvpmT1hCd+5lTILOP//8efPmyRSJIO9lKpL3cnMfz0iffvrpwIEDzz77bJk6EGjXrt3gwYOff/75RYsW5eXljR079t577y1Tpoxquuiii15//XUZicKi5r1atGhxzjnnqEvnzupu1qyZDLDVTTfdJCdAiMW814oVK7p06VKyZEl1GS2u7vbt26e4uj/66CP1EaGmKlWqlFq8o0ePfumll+bPn//uu+9Onz5dP71PNenT1a9ff/HixTLSAvJepiJ5r7R8mKvJzSih+szp37//+PHj1Qe4ctddd5100km66ZJLLiG4aYVdeS8b9/Uzk14NGjRQ7yW1nHft2vXzzz/n5+dPmDChXr16ulWnvo4fPy4jURwb816//vqrrkJYEnVXQ84991wZbyhdunTXrl3lRQh5LwAAAABAViHvBQAAgIzTq1evQCDQt29feW3N3Llz9c2esIsvvvjo0aPSXBwZk4jWrVvH36osDvJeJjPv5fI+nkWsWLHiwgsvlBkDgZ49e65Zs0baCvvss89yc3NVnwoVKkR9Phmi5r3OO+88ddFcW91mbs8u6p22c+dOOQFCrOS9ZsyYoR/tlujqPu2005Je3XqdnnLKKepTd9u2bXI0gmpSHUqUKKHPaD2PSN7LZOa90vJhrr5GZZZAoEaNGi+88II0GHbt2tWpUyfpFPwq379/v7QhGrvyXnbt62eWr1u3bnI0woQJE2rWrKm7qZ+W53FaZGPeq3nz5vr6hyWX95LBIe3bt58yZYouqBwKIe8FAAAAAMgq5L0AAACQWd59991AIFCiRImKFSteeOGFTZo0sfiolS1btuibPSbrN35kgDWdOnXKy8uTkUkh72UK56Xc38fT9P7778ssgUDVqlVjJb1M/fr1U52vuuoq9gWLFJn30rvpnXDCCe6s7iNHjkjXoMqVK9erVy8nBXqeFNe+XxWb93rsscf0BXRzdashaqCq+8cffyyH4po/f36FChX06dQPL0fjIu9lCue93P8w/+yzz9q2bSuDg7GSAwcOSFs0ZmaoS5cuchTR2JL3smtfP7NwCxYskKMxrFixonTp0rpz06ZNd+3aJQ2Iza6815w5c9Rlv/322/X115Ko+/DhwydPnqxqvXbt2i+//FKOhsi8Ib7/7AUAAAAAwETeCwAAAJllzJgxctMmpFSpUu+88440x/bzzz/LAEOrVq2kuTi6f25u7tdff/3BBx88+eSTPXr0aNCgQenSpStWrHjZZZe1bdu2V69ezz333KFDh2RMCsh7mXTeKy37eIZNmjRJxgcCp59++rJly6Qhhry8vAEDBtx+++3qPaaGTJ06VRoQEpn3iiyWo6tbFVH3TL066k2lpxo8eLAcQmHx815LlizRFzDF1Z3QTn867NWpU6f4uZ8ili9fXr16dX26hx9+WI7GRt7LpPNe7n+Y5+fnm8NPPfVUdUTaYmvUqJEMCATGjRsnRxEh9byXLfv6KWbYy+JzIl999VUZEAjUrVt38+bN0oAYbMl7HT16VF3wc845R38OhyWd84tF5g0h7wUAAAAAyCrkvQAAAJBZ7rnnHrlpY7B4/+ass86SASFly5aVtuLo/q7dKMrOvNf+/ftfi0bvpZWWfTy18ePHy+Dgs+XefPNNaYghLy9Peofcf//90oaQyLzXueeeK9fL4NzqnjBhgupWvXp1eZ0s9f7Um4JdffXV//73v+UoCvvyyy9lPRf27bffqtYuXbqoC5j66m7Tpo20FUc/Wkax8qC+IvRjJrUPPvhAjsZA3suk814uf5gfOXLk0ksvlTFBkyZNkra4wjlOpWTJkqtXr5YGFLZ3715Zz4VZ3yHRln391BllcPCD3frZH3/8cRkWd/9HaLbkvVR/dbVfeOEF9WGor7xG3gsAAAAAABuR9wIAAEBmyQltmmb6s7V9tfRucUV88skn0hyX7kzeK13StY+nsmrVKhkW9Pjjj0tDbOYjRrTGjRtLG0Ii816nn366XC+DOi4D4kpidffu3Vv1STR0Eunuu+9W85QpU2bFihVyCIlIy+pu1qyZ6tyzZ095naA+ffro06mfVg7FQN7LVFBQ4H65hw4dKr2DWrZsKQ0WdOvWTYYFAs2bN5ejsJVd+/qZfx+OGTNGjlqwf//+U045RUYm+xDQ7JF63mvBggXqOt98883q32oJ68uukfcCAAAAAMBG5L0AAACQWaLmvfr37y/NcUXuBqXo3cSKpTu7dqOIvFcR6drH89ixY+ZDpxo0aHD8+HFpi016FyZtCLGY93JudTdt2lT1WbBggbxOytSpU/W5nn76aTmEBLm/uidPnqw7J72V565du9QPqSfRG87GQt7LVFBQ4HK5ly9fXqJECekdlFDRly5dKsOCXnjhBWmATeza1y+8qLV169ZJgzXXXXedjAwEGjVqJEcRTYp5rx9//FFd5DPPPFM/7Y+8FwAAAAAAzuGeBAAAADLLtGnT5KaNweLt27Jly8oAw5EjR6Q5Lt2ZvFe6pGsfz86dO8uYoNdee00a4qpXr54MCOnevbu0ISQy73XZZZfJ9TI4t7orVqxYqlQpvVtocrZv337OOeeoE91+++1yCIlzf3U3adJEd965c6ccSlydOnX0JDNnzpRD0ZD3MhUUFLhc7nbt2knXoHLlykmDNUePHj3xxBNlsIXHuSFR6l2hLmzq+/pdccUVMjK40acctezZZ5+VwUGvv/66NCBCinkv/WfV+PHj9csU614smTfE95+9AAAAAACYyHsBAAAg45j7KykWb958//33MsBQpUoVaS6O7u/ajSLyXkVEfa6buibSHFfS+3g+//zz0jtI7z1kRZGByvTp06UNIZF5L6VInsPR1a36NG3aVF4kpWvXrmqSP/7xj/v27ZNDSJz7qzv8NsvPz5dDievQoYOeZPDgwXIoGvJepoKCAjfLrU4nnULq1asnbZYVyaHGj/chIXbt67ds2TIZFmTxqZCm/fv3y+AgItpxpJL3mj9/vrq8nTt3ltfkvQAAAAAAcBJ5LwAAAGSir776aurUqWPHjl24cKEcKk5+fr7c7TFYf1aH7u/ajSLyXkVEjQg4vY/nlVdeKb2Dli5dKg0WqLeK/pnV/120aJEchSFq3kv5+OOPXVjdX3zxherTq1cveZ245557Tp9o3rx5cghJcXl1Hzp0SPql9pEejinEDyiQ9zLFyns5VO6RI0dKp5BOnTpJm2VFIubWtwNGfDbu6zd48GAZFpTcd66ZNi5Xrpz6O1MaUFjSea8ffvhBXdvTTz998+bNcoi8FwAAAAAATiLvBQAAAJ949dVX5W6PYfLkydJcHN3ftRtF5L2KcH8fz+nTp0vXIDXJL7/8Im2wQ6y8VxKPXEpxdSdhw4YN5cqVU2cZOnSoHEKyXF7dqnbSL7VsQXhTyPipQfJepoKCAjfLHa5RWBJXvkgeRXn33XelDSmwcV+/iy66SIYFqTUuDYkokkScMGGCNKCwpPNet99+u7qwTz/9tLwOSqXuVsi8Ib7/7AUAAAAAwETeCwAAAD7Rrl07udsT0qxZM2mzQA9x7UYRea9ILu/j2bx5c+kd9Kc//UkaYBMb814pru4ktG3bVp2ldevW8hqpcXN1b9myRboG5eXlSUMifv7555IlS+oZnnrqKTkaDXkvk36SkzvlPnbsmHQyJHHlIwNq8SsOK2zc12/Tpk0yJmTPnj3SlogePXrI+KA2bdpIAwpLLu81b948dVVvuOEGeR2SdN0tknlDfP/ZCwAAAACAibwXAAAA/GDnzp1yq8cwZ84cabZAD3HtRhF5r6hc28fz9ddfl64h/fr1kzbYxK68V+qrO1EjRoxQpzj99NPXrVsnh5AyN3fpPfnkk6V3UBKRr7feeksGBwLz58+Xo9GQ9zLpvJfiQrkPHDggnQxJXPnFixfL4JD77rtP2pAUe/f1mzx5sowJ+emnn6QtEY8++qiMDzr77LOlAYUlkfc6ePCguqRly5ZV3/tyKCTpulsk84b4/rMXAAAAAAATeS8AAAD4wRNPPCG3ekISzU7pUbFuFB06dGjDhg3btm2T1ykj72WX5Hb6u/POO6VryMyZM6UNNrEr75X66k7IkiVLTjrpJHWWiRMnyiGkSdL7eDZs2FB6hyQa+QpnFBo1aiSHYiDvZQrnvZKQaLnVuaSTIYkrb24AqtkeSck29u7r99e//lXGBJUsWVIaEjRmzBiZImT37t3SBkMSea977rlHXU91heW1Iem6WyTzhvj+sxcAAAAAABN5LwAAAPhBnTp15FZPUK9evaTBMj3QvFG0d+/eUaNGNWnS5KyzztKtyqmnnpqTk9O7d+/XX39d+iWFvJddktvpr3r16tI7ZNeuXdIGm9iV90p9dSfk6quvVmeJ3JQK7kt6H8/IQKdiPQdgPmhq+vTpcjQG8l6mVPJeiZZ79erV0s+QxJWPfILgGWecIW1InO37+rVo0ULGBFWsWFEaEjRp0iSZIuTdd9+VNhgSzXvNmTNHXczrr79eXheWdN0tknlDfP/ZCwAAAACAibwXAAAAvO3AgQNFbhLfcsst0pYIPVbfKPr+++979epVvnx5deTMM89s2LDhTTfd9OCDD3bv3r1+/fqlS5fWna+++uqpU6fq4Yki72WL5Hb6W7t2rXQNKVWqlLTBPqnnvexa3daF70x/8MEHcghpkso+npHBDi0nJ2fRokXSKbY2bdro/tdee60cio28lynpvFcS5V6xYoX0MyRx5b/99lsZbPjqq6+kGYlwYl+/SpUqyZigatWqSUOCIh8g99RTT0kbDAnlvdTyKVmypPojavXq1XKosKTrbpHMG+L7z14AAAAAAEzkvQAAAOBhH3/88cUXXyw3eQKBChUq/O1vf5O2BOkZcnNz8/PzL7/8cvXvZs2aRb3ZvHXr1quuukr3V1Tn7du3S5tl5L1skdxOf2PHjpXeIWeddZa0hRQUFLz22mtDhw69/vrru3fvrk701ltv7dy5U5phQYp5LxtXt0WLFi3S57rjjjvkENInxX08mzdvLsMixA8ETJkyRXerVauWlfcqeS9T0nmvJMr99ddfS1dDElf++PHjMthgJReISLbv6/fNN9/IgJDLLrtM2hK0YMECmSLkvvvukzYYEsp79enTR11JtX7ldYTk6m6dzBvi+89eAAAAAABM5L0AAADgPUuWLBk5cuStt95aqlQpfYOnTJkygwYNSiJ3Fabnyc3NPfXUU2vWrDl58mRpiMG8g9WwYcOvv/5aGqwh72WL5Hb6u/baa2VAiJpH2oL3/vX9y6hatGjx4osvqj7SG7Ft3ry5ZzTxEyFOrG6LcnJy9BlXrVolh5A+Ke7juW3bNhkZjfqQjxroGTZsmO5gMeylZGfea+PGjbKeC4u141uxkiv373//exkQksSV//7772WwweKT5GBSF01dOnv39QvHcMOSDgzZOJW/rVmzRtZzYXv37pUeIa+99pq6jK1atZLX0SRXd+tk3hDff/YCAAAAAGAi7wUAAAAPmDp1avfu3evUqXPGGWfILZ2QEiVK9OnTZ+PGjdI1WTJdIFC6dOkVK1bI0bguueQSGRO83fXTTz9JgwXkvVKUyk5/MsAQvgGZn5+v/q2O3HjjjY8//vgHH3zwww8/fPbZZ3PmzDHvWdaqVWv48OF6CFLkwuq2IrwDYNu2beUQ0sSufTzVx6yMj6F3797S9T//UR/gl112mT5et25di2EvJTvzXjZKpdyXXnqpjAlJ4spH3UpSfSBIM6xxaF+/yIdyJR0Yisx7XXHFFdKGxO3fv//3v/+9+ppeunSpHIomubpbJ/OG8NkLAAAAAMgq5L0AAADgAXl5ebVq1ZKbORFycnKmT59+8OBB6Z0UmSuRXZyWLFkiY4JuvPFGabCAvFcqUtnp78iRIzLM0KFDB9X0xhtvnHrqqeplrJ2J1HujcuXKeoiSXAYFRbiwuq1o2LChPuMrr7wih5AO9u7jWSRqEEkt+blz57788svyOriN4OHDh2W8BeS9UpFiuTt27CgjQ5K48p988okMNowcOVKaYY1D+/rNmjVLBoTYmPeqXbu2tCFxvXr1Utdw2LBh8jqG5OpuncwbwmcvAAAAACCrkPcCAACAJ4UfuVS+fHm5yRMItG/f/oUXXpAeCapevbqawXrYS7vxxhv1qbX58+dLQ3HIeyXBlp3+9u/fr8eaevTooZquv/569e/nn39e94zlvPPO06OURPeYgxW2r+5iTZ06VZ+lZs2abNaZFs7t4zlx4sQKFSroOeNr0aLF4sWLZZhl5L2SYFe5BwwYoIeH6Q/zhMybN08GGx566CFphgXO7etnZjE1G/Ne1apVkzYkaObMmeoCNmvWTF7HllzdrZN5Q/jsBQAAAABkFfJeAAAA8LaCgoK+ffvKfZ6gdu3aLVmyRJoT8dZbb8m/LHviiSfkrEF//vOfpaE45L2scGKnv6hbdz3wwANvvPGG+sfEiROlX2xbtmzRozSq5hwbV3d8TZs21fNzq9g1bu7juX79+jZt2sjsMdSqVSsvL08GJIK8lxUOlfvNN9+UWUKSSJMMHjxYBhvuueceaUZxHN3XT30py4AQG/NelStXljYk4ssvvzzzzDPVBfzf//1fORQbeS8AAAAAAJxD3gsAAAB+MG7cOLnVEzJ48GBpc9KKFSvkfCEWH/FF3ssKJ3b6y8/Pl/GG3NzcRo0aNWnSRDoV56mnnpKRQc49dwqK06tbP6dESy7xgyS4v49nkdhBVN26dVMfETLAGvJeVjhX7iJP2TzrrLOkwbLGjRvLYEPnzp2lGcVxdF+/J598UgaEJB0Yisx7lStXTtqQiHvuuUddvf/5n/+R13ElV3frZN4QPnsBAAAAAFmFvBcAAAB84vbbb5e7PSFDhgyRNieVK1dOzhf0Z2uP+CLvlZzUd/pbtWqVDDPo+5EzZ86UTsU5ePBg6dKl9VilcuXKW7ZskTY4wNHV3bx5c5k0ENi2bZschevy8/Pz8vJSWd3xLVu2rFWrVjJvbOrsEyZMkDEWkPdKjl3btn744YcyOOTAgQPSZsGaNWtkWGHqY0F6IC6n9/V77LHHZECIjXmvkiVLShssmz59urp0V1111bFjx+RQXMnV3TqZN4TPXgAAAABAViHvBQAAAJ/YuXOnedtYe/PNN6XZMddcc42cLOTdd9+VttjIe6Uo6Z3+Iu/4KjVq1GjTpo30sKZ9+/YyOOjGG2+UBjjAudU9Z84cmS4QqFixohxFWtm+j+fu3bv1A2mUCy+8MPKJcZH69+8vg4tD3itFqZf7tttuk5FBVrblDevZs2flypX/f3v3HSZZXeeLvx5ll6xIUBYQEIbgIogggqQlJ5G4ZNERSQ4ozBIEwXu5ggoojIIEEUGQ5BAGRNg7KDvXJaeBAUFwgCGHIczADEhy/X1/fT7Vz+npMNXdp6rrnHq9/vDpOt80fT71PdWP502dGJmzyy67RA/614Ln+n3/+9+PAXUF5r0+9KEPRRuNee655z71qU+lU9fIH7oZeS8AAABoHnkvAACqY5999okbPnWf/vSnX3jhhWhujh122CEWqxs3bly09U/eqxBDeNJf70dwZgYVEUjOOOOMGFl3+eWXRxtN0KTd/aUvfSmma8J9aIajqOd4/vjHP/74xz+ezbDXXntlB2fMmDHHcwB723zzze+6666s/wDkvQoxnHLPcVVvPLybfbnXaaedlg3MO+SQQ6IT/WvBc/3S/o0BdQXmvRZaaKFoozH7779/Om/HHntsvG6AvBcAAAA0j7wXAADVcdVVV8UNn5wxY8ZEc3PsvffesVLdAQccEG39k/cqymCf9DdlypTo19MjjzwSPRpz4403xsi6RurOkDVjd993330xUZcjjjgiGmgPw3yO56xZs3beeecY2VcSd8KECXM8kHcOSy211FNPPRW9+yHvVZThlHuOTMlJJ50UDQM68MAD11lnnfRDDMtpcIZO1prn+p155pkxoK7AvJfvdByU3/zmN+mkrbfeem+//XYcaoC8FwAAADSPvBcAAJXS+6Fv6cjzzz8fzU1wwAEHxEp166+/frT1T96rKIN90t9f//rX6JSz3HLLRXPDpk6dGoPr3DlutsJ396mnnhoTdTn33HOjgfYwnOd4vvTSS1tuuWWMqdXuv//+aOhpxowZhx12WHTqyze+8Y3o2g95r6IM87Gtc8RK4mj/LrzwwtTtsssue+edd7Iheeeff370oy8te65fKkQMqCsw7zWEj/6O9cwzz6y44orppN1www1xqDHyXgAAANA88l4AAFTK1ltvHfd8ck477bRoboKxY8fGMnWLLLJItPWvM/NeL7300kV9Scejx5AM6kl/zzzzTHTKafz5X3kxOGfSpEnRRhMUvru32mqrmKVL48EFenv++edjP/f0yiuvRI8hGdpzPB9//PF11103BtRqr7/+ejT0Y8KECZ/5zGeidy8DP6pV3qtAw3xsaz5Zss466wwwMOuZPd8zvT2yIXmDDbVUW/rcjP1c92//9m/pLB1++OHRowFDy/1ceumlMaCuwLzXqquuGm3MzX777ZfO2BC+BXNodW9czFvn2gsAAEBHkfcCAKBSdtttt7jnk7PBBhtEcy+vvPLKeeedt8kmm4wePfqcc8554oknoqFh3/ve92KZnGnTpkVzPzoz7/XQQw/Fr9pTOh49hmRQT/pLFY8eOfvuu280D0YMzhnUw+YYrMHu7oG99tprH/7wh2OWLlOnTo02Bu++++6L/dzTo48+Gj2GZAjP8fzggw/WWmut6FqrjR8/PhoGNGPGjMMPPzzG9LTaaqsNkFqT9yrQ8B/bms78csstFyO7wh+TJ0+Otn/8I70bL7744ixV9pOf/CQ7+Nxzz2Wd8/KjuOOOO+Kd3eVzn/tcOkUf+9jHBvUc5KHlfq655poYUFdg3itdKKKNAf3617/OTtfMmTPjUMOGVvfGxbx1rr0AAAB0FHkvAADazksvvfTwww/Hi0H6xje+Efd8chZffPFo7mnmzJlrr712dOqy2267RVvDjjzyyBicc/fdd0dzP+S98oaZ90oaf9Lf7Nmzo0fO2LFjo3kwYnDOoHIJnallu3uuLrnkkpii7oMPPog2Bq9Jea+k8d2d+elPfxr9arUDDzwwjjZmwoQJq6++egzOOeyww6JHL/JexRpsuXt7/fXXTzvttHwdF1hggfRZ/4lPfCJ7OWrUqPxjIvt8yG/jXyrWCfJ5ry222GLBBRdMp2jdddd98skno0cDhpb7ufHGG2NA3UYbbRRtgzRx4sSYom7IceFOs/zyy6fTlSo4NNnZzqS6x9Gehvz1qDFvXZoqGgAAAKADyHsBANBGfv/73++9997ZPZvVVlttUI8KyvR+umLmueeeix453/nOd6I558ILL4zmxhxwwAExMmeuX4GQfrWNNtro85//fPo1k/RDevntb387miuqeXmvxp/09/e//z2ac44//vhoHowYnJM9Hay3l19++Z577rn66qvHdUk/pJfpYDR3hhbv7rma48lxyy23XDQMW2eWu3l5r0E9x/P1119faaWVsj4rrLDCs88+Gw0Ne+aZZ770pS9lM3QbNWpUNPfyzW9+s/fF/KijjopmBqmox7Z+8MEH11577Q9/+MN99903FWWBBRZYc80102VnwoQJM2bMiE5dHnjggVgmJ9p6Se+o22+/ffz48aeffnrn7O583mvZZZdN52fFFVdMP7cg79X7S7k+97nPRdsg9f72uN133z3a+tGZ5e4tzlcztUPeS7kBAAAoHXkvAADaxXPPPdf99RvdBvhWlT7NcUOxW593kvp8PNxgv+Jr9913j5F1yy+/fLT1cs8994wdO7b3r9ltqaWWSr/Cgw8+GAOqpXl5r0E96e9f//Vfo0fd0JJ2MThnm222ibYuHV7uvNbv7rlacsklY3yX4T9kKtUx/QtTTWPGXqpd7ublvQa1u0888cToUav9+Mc/jqODd+ihh8YsdU8//XS0dbG7m2RQ5S7EHXfcEcvU9f4zIF1kRo8eHc19qXa5u/Nea665ZvplP/rRj6YPu/SyBXmvWbNmxYC6AcKXA7vwwgtjirrvf//70dbTXXfd9a1vfSs69aXTdnf82s00gnmvDt/dAAAAlJq8FwAA7aLPb9tKrrvuuujRgP6+AWjatGnRI+fLX/5yNOfsv//+0dyY3l9Gst1220VbzmWXXbbJJptEjwZstdVWF110UQyuioHzXi170t/Xv/716FE3evToaBuMGJyTfpesSbnn0PrdPbA777wzBtf1uW0blGqXKhgTNaCS5R4479Wy3b3OOutEj1pt4sSJcXRI9txzz5ioS/cTAO3uuWqfx7Y24tprr41l6saPHx9tXeXecMMNo6EBqdy/+c1vYnBVdOe9FlhggfQ7rlJ32GGHnTAY2SnKpE0UR3vqnfv57Gc/G2O6LLnkktEwSGeeeWZMUTdhwoRoq0tbdfPNN4/mBlSy3MWKM1XXYM6vcTFvXXoLRUMD7G4AAADKTt4LAIB20ee3eiTjxo2LHg3Yb7/9YljOPPPM88EHH0SPnBP6+rqgwT7PcY47kUnvL4v6yU9+Em2DdMghh8QUldBf3uuss85q5ZP+zjnnnGiu23nnnaNtMGJwzoEHHpiOK3dvrd/dA+u993fddddoG6RUtZhikCpW7v7yXueee24rd/cSSywRzbXaG2+8EUeHZPLkyVm6JXPiiSemg3b3wNrtsa2NOOKII2KNuu4nMg+53Mccc0w2QzV0573i12um3nmvgw46KNq6LLTQQtEwSD/84Q9jirqpU6dGW5chX8wrVu5ixTmqa5+8l90NAABABch7AQDQLvq7lXj++edHjwbsuuuuMSxn5ZVXjuaerrrqquhRN6gvBsgsvPDCMbju2muvjbYu/SVdGvSFL3whJiq/PvNeW2655WKLLRa/bV1Tn/R32223RXPd5ptvHm2DEYNz0j9DufuUCh2/YU/N290DO/jgg2N83b777httg5HqFeOHpErl7jPv1eLd/dprr0VbrbbGGmvE0WHIL51+Hbt7YG342NZGrLvuurFGl1Tl7Pgwy73LLrtk81TAyOa9eke0o2GQDj/88BjfZb755ouGLsO8mFep3MWKE1TXJnkvuxsAAIBqkPcCAKBdnHTSSXEjpae77747ejRgiy22iGE5X64/ZW8OjzzySGrddNNNTzjhhDPOOGMID/+aNm1atkS3OZJDcXTYYrqS6zPvNWrUqPgle2rek/5mzZo133zzRY8uQ8sMxeAmiAUqpPW7e2A777xzjK876KCDoq1hMXLYYrqS6zPv1eLd/cADD0RbrfaNb3wjjg7DJZdcEtMVJ6auonZ7bGsjXnzxxVigLguhxovhGc5TYttKd95rDk8++WT0aECclLrGcz+9I9pPPPFEtA3GTjvtFOO7rLPOOtGg3M0UZ6euHfJe0XV4lBsAAIB2IO8FAEC7uP766+MuSs4Xv/jF2bNnR48G9P62rSTNHM29rL322qnDrbfeGq8H6YYbbsiW6HbJJZdE2z/+seWWW8bRYRvsV6S0pz7zXksttVT8kj019Ul/66+/fnTqknpGQ8PefvvtGNwE1Sh33ojs7gHM8QZIxo4dG22NGea3g+RVo9x95r1avLuzCG/m0EMPjaPDMGXKlJiuONXb3d362xQj9djWRvT+ms+nn356mF/1lDfYJ0S3p5HNe82aNWuOrwn8wx/+EG2Dseaaa8b4LtkTWpMCL+bVKHex4tTUjXjey+4GAACgSuS9AABoF08++WTcQqk76aSToq0xkyZNipE5Xx7w639+8YtfpD477rhjvB6k0aNHZ6tk1l133Wj4xz9OPfXUOFqQ8ePHx9Sl1Wfeq/fzvzJNfdLfGWecEZ3qnn766WhrTDOCIHkVKHfeiOzuAay44ooxRd1xxx0XbQ34yU9+EsMKUoFy95n36m93D+r3bXx3f/DBB/PMM0/WYZtttomjw5PNVqyK7e5uqeLxG/bUgse2XnLJJZtsssn+++8/2ATGQQcdFGt0SX8MHHLIIfGiIEP46tB2M7J5r+RrX/taDOuS/nKLhsFYZJFFYnyXP//5z+lg4RfzCpS7WHFe6kY272V3AwAAUDHyXgAAtJF999231nWf/v77758xY0Ycbdhxxx2X3YDJm+vX/2Rf8TW0hzkuuOCC2SqZiy++OGtK//6PfOQjcbQgH//4x6dMmZLNX1J95r1WXXXV+A17auqT/tK7a7nllot+XSZNmhRtjbn66qtjZHNUoNxzGJHd3Z+FFloopqhr5CFQmcsuuyzGFKcC5e4z79Xf7n7llVdiWAMGtbs/97nPZR3S0nFoGJoU66ze7s6M1GNb99lnn+jXpfGvdnv44Yf/+Z//OYbVagsvvPD/+T//J14UZ/nll3/wwQdjyXIa8bzXlVdeGcO6fPvb346Ghj322GMxuMt6662XDjbjYl6BchcrzkvdCOa9LrroouhUHOUGAABgZMl7AQDQRt57770ll1yyVqvttddecahhTz/99Gc+85nsBky3Y445Jpr7l33F15e//OW33norDjVmjsdOHX744dHQhK8QyKRpY4Fy6jPv1eezdVrwpL/vfe970a/LEUccEQ2NOeWUU2Jk05S93HMYkd3dp1mzZsUUOY3nvTbccMMYU6iyl7vPvFefu3vvvfeOMQ3429/+FsN66m93p8mzDvPNN99zzz0XR4fqkksuyWYrXMV2dyYVJX69nGZfzKdNmxadcq655ppoHlC67MeALqeeeurmm28eLwpV9nKPeN4rXQeWXXbZGFmrrbLKKtHQsDm+x+v73/9+Ouhi3gJxUuqWX375aChIzFs3wOdLk3b3UUcdFQsAAABAy8l7AQDQXm6++ebsDsro0aMH9SVAG2+8cTaw25gxY6JtbnbaaafU//Of//zkyZPj0NyccMIJ2SqZtHo0dH2NxAILLBANhUrTpsljmRLqM+/V+w5ca570N3Xq1HyZvvjFL0ZDYzbaaKMY2TRlL/c777zzQk/jx4/PfrVW7u7eHn/88Zglp8G8V59vtkKUvdx95r167+5x48bFgMZceumlMTInzRzNveSvzEcffXQcHaoDDjgg5ipa9XZ3cuedd8avV9eCi/mZZ54Z/XJOOeWUaO7f008/veiii8aAWm3rrbe+66674kXRyl7uEc97JemaHyO7DPZLldJyMbJWW2SRRe6//34X8/787W9/iy3d0/vvvx89GnbvvffGScm58cYbo3nYehdxzTXX7POvi+bt7uWXX35QkVYAAAAokLwXAABtp/uG/ZprrjlhwoQ4OqBvfvOb2ZBuX/nKV6KtAW+++eZmm22WRn30ox+9/PLL42j/Up9slcxCCy0UDV2OPfbYaGiCNHksU0J95r0y6Vdr/ZP+Dj744Ojd5bbbbouGuXn00UdjTJOVutwPPPBAVDdnlVVWyX61lu3u3lKhY6KcBvNeo0ePjgFNUOpy95n3StK+Tr/akHf3Lrvskp2cvIF3d/cDAeeff/7hPDbx9ttvz+ZpklKX++67744C95SFp1t5Mf/tb38b/XL++7//O5r7l48GzjPPPLfeeuu3vvWteN0EpS53O+S9brzxxhjZ5bTTTouGBkydOjWGdclSpy7m/Ul7IQrc01NPPRU9+vfuu+8+88wz99xzz/jx43/0ox8tvvjicUZyRo0aNXbs2EmTJj388MPTp0+PkQ1466230uSTJ0+eOHHiBRdckN/Ceen6k5ZO86er0LRp07ILUVN394UXXpj9CwEAAKDF5L0AAGhHd95550ILLZTdRzn88MMH+CKHJ598MrvBnHfkkUdGc8NeeOGFtddeOxt+wgknPPzww9HQ06233rrHHntk3TL77LNPtHV59913s4fWNUma/J133onFyqa/vNf9998/Ik/6e/3119dYY40YU6vtsssu0TA3//Ef/xFjmqzU5e4z75VcfvnlLd7dc0i7O+bKOeecc6J5QNG7OUpd7v7yXt1f2TiE3T1HwiMz19398ssvzz///Fnn3XbbLY4O3mKLLZZN0iSlLnd/ea+//OUvLb6YpxWja10jD/v75S9/Gb27ZE/3ixfNUepyNyPvNYTn+uXzPdtss00cbcAZZ5wRw2q19JmSHYzXzVHqcg8t7zXM70uLWfrSvG9iK8p2220X/1YAAABoLXkvAADa1LPPPrv99tvHvZSuW4O77rrruHHjJnW54oorjjvuuD322GORRRaJHl223nrr1BpTDNJjjz325a4vmsqkqX784x9ffPHFEydO/NWvfvUf//Ef+dZk0UUXveyyy2Jw3bRp06K5aQZ1h7Wt9Jf3SsdH5DmeyRwPG7r00kujoX/p/RC9W6K85e4v7/Xwww+3fnfnvfbaazFjzrXXXhvN/Uv/7OjdNOUtd395r0cfffTUU0/NfrvB7u5Ro0ZlA7s1uLt///vfx4ChRr7WWWedGN9M5S13f3mvqVOntv5i/olPfCLrv9RSS51wwgkvvPBCNPQj/Qs//OEPZ0OSr371q+mg3T2A4ee9inquX9rOMbhWGzt2bBwd0J133tn9UZI9yTEdVO4ByHsN1jLLLBP/VgAAAGgteS8AANra+PHj87f3BrDDDjv8+te/jmHDcP3113+5Z66rt5VWWuk73/lOn08Ka/YjwJJbbrklFiubAfJeqbX7qzta/KS/9B6LwV1fDDPXB4FF1y5bb711/NQ05S33AHmvrEPrd3e3OR7ttMkmmzTyXSx29wAGyHul1lTB7BdsfHf3ftraoHZ3/quA0tvs6aefjoa5+f3vf//xj388RjZZecs9QN4rtbb4Yr7rrrum/jvuuGO8HtDNN9+83HLLZUsk3c/ds7sHMIS8V/Oe65f/1DjzzDPjaD9mz579uc99Luu80EILXXfdddlx5R7AkPNeeek9k/5ITheEF154YebMme+9917065Jevvjii+lvv+g9YJI7ekyalE5pGvLss8/OmjUr2vr3/vvvv/rqq0888cTkyZN//vOfR1Wa5rnnnouFAQAAoIXkvQAAKIGZM2eeffbZY8aM2WGHHdZaa60lllhivvnmW3XVVbfZZpuDDz74rLPOavxOYYNuuumm008/fb/99lt33XUXXHDBJZdccr311ttzzz2POeaYSQPel7rqqqvi5k/TXHHFFbFY2Qyc90pa/xzPzMknnxxT1GrzzDPPueeeGw09ffe7341OXY466ijlHsBc816Z1u/uTHqDrbnmmosuuug+++zT4Bex5KOBTVLecg+c90quu+66+CVbtbvz15OPfvSj3/zmNwdOYDz22GPHHXdcugKk/um9MXbs2Gxs85S33APnvZJWXsxnzZq1ySabpFEbbLDBHXfcEUd7efPNN7/zne9k82d++tOfRpvdPaBB5b3S30jxCw9JzDKgfOQrfXy///770dDTrbfeuuOOO2bdPvnJT+b/eFPuAQwt79XOWlDuP/7xj7EYAAAAtJC8FwAAFGncuHFx86dpTjvttFisbOaa90pG6kl/6d+Q1orparWddtrpu9/97sUXX3zjjTeeccYZhx566JZbbhlttdq22277pz/9KY1S7gE0mPcqkdNPPz2q0jTlLfdc815J+nmbbbaJX7Ulu3uO60myxRZbHHjggT/60Y8uv/zyP/zhD+PHj//FL35x8sknd+dCVlpppfRPeu+995R7AHPNeyWtvJg/88wzq6++ejbDqFGjxowZk8qXLuA33HBDKvEJJ5zw1a9+dc0118w6JBtssMEcj2NW7gG0W94rOeigg+add95syDrrrPPb3/42GrpMnjz56KOPzlqT1CFdoKKti3IPoHp5rxaU++c//3ksBgAAAC0k7wUAAEVqQQDo9NNPj8XKppG8V2b8CD3p7/jjj495+7HsssueddZZ0Vu5B1S9vFcLyp2WiMXKppG8V6b1u7vBFZdeeukf/OAHM2bMyEbZ3QNoJO+VaVm5X3jhhRNOOGGppZaK6fqR/jHdD/XLU+4BDDbvlVfgc/3m8Mgjjxx11FFLLLFEdnoXXXTR1VZbbe21115ggQWyI8muu+569dVXx4AcF/MBVC/v1YJy5/8yBAAAgJaR9wIAgCJNmDAhbv40zfjx42Oxsmk875UZkSf93XTTTWeeeWb2hV6f/OQnF1poofXXXz8td84559x2222zZs2Kfl2UewDVy3tdffXVUZWmSe+oWKxsGs97ZVq/u3uvOPDubkG5y7u7G897ZVpW7iz19Y1vfGPrrbdebbXVPvKRj3z84x/fbLPNvvWtb/3iF7+45557ol8vyj2AQeW9WuzZZ5+95JJLjjnmmPTv+dSnPpXf1CNb7vJezKuX92pBuQcVVQQAAICiyHsBAECR7rrrrrj50zS33357LFY2g817tT/lHkD18l733HNPVKVp0jsqFiubwea92l8Lyl3e3T3YvFf7U+4BtHPea2hczAdQvbxXC8rdjP/8AAAAAOZK3gsAAIr03HPPxc2fpnn22WdjsbKpXt5LuQdQvbzXyy+/HFVpmvSOisXKpnp5rxaUu7y7u3p5L+UeQPXyXi7mA6he3qvZ5R41alSsBAAAAK0l7wUAAAVbc8014xZQE6TJY5kSql7eK1Hu/lQv75UsvfTSUZsmKHW5q5f3SpS7P9XLeyXK3Z/q5b0S5e5P9fJeSVPLPXr06FgGAAAAWkveCwAACvazn/0sbgE1QZo8limhSua9lLs/lcx7nXLKKVGbJih1uSuZ91Lu/lQy76Xc/alk3ku5+1PJvFdTy33DDTfEMgAAANBa8l4AAFCwN954Y4UVVoi7QIVK06bJY5kSqmTeS7n7U8m815NPPhnlKVrZy13JvJdy96eSeS/l7k8l817K3Z9K5r2aV+511lkn1gAAAICWk/cCAIDinXjiiXEjqFBp2lignCqZ90qUu0+VzHsle+yxR1SoUGUvdyXzXoly96mSea9EuftUybxXotx9qmTeK2lSuU899dRYAAAAAFpO3gsAAIo3c+bM1VdfPe4FFWTjjTd+6623YoFyqmreS7n7VNW81y233DLvvPNGnQqS3j/pXRQLlFNV817NKHcFdndV817NKPdWW2317rvvxgLlVNW8VzPK/YUvfKHsu7uqeS+7GwAAgOqR9wIAgKa4/vrr43ZQQSZPnhxTl1ZV816JcvdW1bxXctppp0WdCpLePzF1aVU175UUXu4K7O6q5r2Swss9bdq0mLq0qpr3Suzu3qqa90rsbgAAACpG3gsAAJrlqKOOijtCw3bRRRfFpGVW4bxXotxzqHDeK9lvv/2iWsOW3jkxaZlVOO+VFFjuauzuCue9kgLLffvtt8ekZVbhvFdSYLkvv/zymLTMKpz3SuxuAAAAqkTeCwAAmmi77baL+0LDsOWWW8Z0JffnP/95l76k49Gj5JQ7r9p5r6SQcqdJYrqSmzx5cuznnh577LHoUXJ2d161815JIeU+4YQTYrqSu+uuu2I/91SZLzdS7rxq570S5QYAAKAy5L0AAKC5Lrzwwrg7NCSHHnpoTEQZKHe3yue9kmGWOw2PiSgDu7tb5fNeyTDL/fOf/zwmogyGWe6JEyfGROVX+bxXYncDAABQDfJeAADQdBMnTlx++eXjNlHDFl988fPOOy+moDyUO9MJea9kaOVOQ6qUD+gcdnemE/JeydDK/S//8i9XXHFFTEF5DK3cK620UsWe69cJea/E7gYAAKAC5L0AAKAVHnzwwWOPPXbVVVeNW0YDSt1S5wceeCAGUzbKnXRI3isZQrnTkBhM2djdSYfkvZJU7qOOOqrBXEhW7ilTpsRgymYI5X7ooYdicFV0SN4rsbsBAAAoO3kvAABoqQkTJnz1q1/92Mc+FneQchZddNHUlDpEV8ovK/eoUaOixjmrrLJKtcvdOXmvbgOUOx20uysmK/ciiywSNc5ZfPHFq13uzsl7ZWbPnn3hhRdut912yyyzTNQ4p/IX804zcLkrfzHvnLxXxu4GAACgvOS9AABgBBx33HFbb731+uuvv/rqq6+xxhobbLBBennMMcdEM5Uzffr0SZMmnXXWWeecc86tt976yiuvREN1dWDeq1t3uZP0Q3oZDVTOEUcc0ftifsIJJ0RzRXVa3ivvueee++Mf//jzn/+8cy7mnay73J1zMe+0vFee3Q0AAEC5yHsBAMAIOO644+IGWo68F1XSyXkvOscRRxwR7+wceS+gpDo57wUAAADlIu8FAAAjQN6LypP3ohPIe+XJe0HZyXsBAABAWch7AQDACJD3ovLkvegE8l558l5QdvJeAAAAUBbyXgAAMALkvag8eS86gbxXnrwXlJ28FwAAAJSFvBcAAIwAeS8qT96LTiDvlSfvBWUn7wUAAABlIe8FAAAjQN6LypP3ohPIe+XJe0HZyXsBAABAWch7AQDACJD3ovLkvegE8l558l5QdvJeAAAAUBbyXgAAMALkvag8eS86gbxXnrwXlJ28FwAAAJSFvBcAAIwAeS8q7/XXX5/Ul5kzZ0YPKL/OzHu9+uqrsZ97evPNN6MHUE7Tp0+P/dzT7NmzowcAAADQHuS9AABgBMh7AVRAZ+a9AAAAAICRJe8FAAAjQN4LoALkvQAAAACA1pP3AgCAESDvBVAB8l4AAAAAQOvJewEAwAiQ9wKoAHkvAAAAAKD15L0AAGAEyHsBVIC8FwAAAADQevJeAAAwAuS9ACpA3gsAAAAAaD15LwAAGAHyXgAVIO8FAAAAALSevBcAAIwAeS+ACpD3AgAAAABaT94LAABGgLwXQAXIewEAAAAArSfvBQAAI6Az817/8z//815f0vHoAZRTx+5ueS8qz2c3AAAAQBuS9wIAgBHQmXmvhx56KH7VntLx6AGU03333Rf7uadHH300elSUvBeVd8cdd8Q7u6cnn3wyegAAAADQcvJeAAAwAuS98uS9oOzkvfLkvagSeS8AAACANiTvBQAAI0DeK0/eC8pO3itP3osqkfcCAAAAaEPyXgAAMALkvfLkvaDs5L3y5L2oEnkvAAAAgDYk7wUAACNA3itP3gvKTt4rT96LKpH3AgAAAGhD8l4AADAC5L3y5L2g7OS98uS9qBJ5LwAAAIA2JO8FAAAjQN4rT94Lyk7eK0/eiyqR9wIAAABoQ/JeAAAwAuS98uS9oOzkvfLkvagSeS8AAACANiTvBQAAI0DeK0/eC8pO3itP3osqkfcCAAAAaEPyXgAAMALkvfLkvaDs5L3y5L2oEnkvAAAAgDYk7wUAACNA3itP3gvKTt4rT96LKpH3AgAAAGhD8l4AADAC5L3y5L2g7OS98uS9qBJ5LwAAAIA2JO8FAAAjQN4rT94Lyk7eK0/eiyqR9wIAAABoQ/JeAAAwAuS98uS9Kunpp58+rS/PPfdc9KBC5L3yKp/3euKJJ2I/9/TSSy9FDypE3qujPPbYY7Gfe3rllVeiBwAAANAe5L0AAGAEyHvlyXtV0gMPPBAF7unhhx+OHlSIvFde5fNed999d/yqPU2dOjV6UCHyXh3l1ltvjQL39NRTT0UPAAAAoD3IewEAwAiQ98qT96okea+OIu+VJ+9Flch7dRR5LwAAACgLeS8AABgB8l558l6VJO/VUeS98uS9qBJ5r44i7wUAAABlIe8FAAAjQN4rT96rkuS9Ooq8V568F1Ui79VR5L0AAACgLOS9AABgBMh75cl7VZK8V0eR98qT96JK5L06irwXAAAAlIW8FwAAjAB5rzx5r0qS9+oo8l558l5UibxXR5H3AgAAgLKQ9wIAgBEg75Un71VJ8l4dRd4rT96LKpH36ijyXgAAAFAW8l4AADAC5L3y5L0qSd6ro8h75cl7USXyXh1F3gsAAADKQt4LAABGgLxXnrxXJcl7dRR5rzx5L6pE3qujyHsBAABAWch7AQDACJD3ypP3qiR5r44i75Un70WVyHt1FHkvAAAAKAt5LwAAGAHyXnnyXpUk79VR5L3y5L2oEnmvjiLvBQAAAGUh7wUAACNA3itP3quS5L06irxXnrwXVSLv1VHkvQAAAKAs5L0AAGAEyHvlyXtVkrxXR5H3ypP3okrkvTqKvBcAAACUhbwXAACMAHmvPHmvSpL36ijyXnnyXlSJvFdHkfcCAACAspD3AgCAESDvlSfvVUnyXh1F3itP3osqkffqKPJeAAAAUBbyXgAAMALkvfLkvSpJ3qujyHvlyXtRJfJeHUXeCwAAAMpC3gsAAEaAvFeevFclyXt1FHmvPHkvqkTeq6PIewEAAEBZyHsBAMAI6My81/Tp06/sSzoePagQea+O8uKLL8Z+7um1116LHhUl75Un71VJzz//fOznnmbMmBE9qBB5LwAAACgLeS8AABgBnZn3oqPIe9EJ5L3y5L2g7OS9AAAAoCzkvQAAYATIe1F58l50AnmvPHkvKDt5LwAAACgLeS8AABgB8l5UnrwXnUDeK0/eC8pO3gsAAADKQt4LAABGgLwXlSfvRSeQ98qT94Kyk/cCAACAspD3AgCAESDvReXJe9EJ5L3y5L2g7OS9AAAAoCzkvQAAYATIe1F58l50AnmvPHkvKDt5LwAAACgLeS8AABgB8l5UnrwXnUDeK0/eC8pO3gsAAADKQt4LAABGgLwXlSfvRSeQ98qT94Kyk/cCAACAspD3AgCAESDvReXJe9EJ5L3y5L2g7OS9AAAAoCzkvQAAYATIe1F58l50AnmvPHkvKDt5LwAAACgLeS8AANrFtGnT/thM//M//xMrDc9//dd/xYzDsM8++3yxlz333PPxxx+PZYano05mf5zMAg3hZPaZ99p8881/9atfxaRN4J1ZICezEbvttltcwXO++tWvRnNdUSfz5ptvjhmb4Iknnohl5mbgvFdZ3pltcjIH5mQmTmaB5noyG8x7OZlJp70zAQAAaDfyXgAAtIvx48fHPaXm+OCDD2Kl4dlpp51ixmFYaaWVPtHLqFGjfvOb38Qyw/Pb3/42VmqOtjqZ/XEyCzSEk9ln3mvttdfeZJNN4kUTeGcWyMlsxIorrhhX8JxVVlklmusqdjIHznt5Zya2eYGczALN9WQ2mPdyMpNOe2cCAADQbuS9AABoF/Je8l7FcjILNIST+cgjjxzYyxZbbLHZZpvFpE3gnVkgJ7MRnZn3evDBB2NL95QlQrwzE9u8QE5mgeZ6Mu+9997Yzz09//zz0aOLk5l02jsTAACAdiPvBQBAu5D3kvcqlpNZICezQE5mgUb8ZHZm3mtg3pmJk1kgJ7NATmaBOu1kAgAA0G7kvQAAaBfyXvJexXIyC+RkFsjJLNCIn0x5r968MxMns0BOZoGczAJ12skEAACg3ch7AQDQLuS95L2K5WQWyMkskJNZoBE/mfJevXlnJk5mgZzMAjmZBeq0kwkAAEC7kfcCAKBdyHvJexXLySyQk1kgJ7NAI34y5b16885MnMwCOZkFcjIL1GknEwAAgHYj7wUAQLuQ95L3KpaTWSAns0BOZoFG/GTKe/XmnZk4mQVyMgvkZBao004mAAAA7UbeCwCAdjF79uyXmymWGbaYbngOP/zwrXr59re/PWvWrFhmeDrqZPbHySyQk1kgJ7NA6STEMsMz5JP5zW9+M67gOUcddVQ018UywxbTNceIn8wGxTLDFtM1h5NZICezQE5mgTrtZAIAANBu5L0AAGAEHHfccfEf3eccc8wx0QxAGRxxxBFxBc854YQTohkAAAAAoAnkvQAAYATIewFUgLwXAAAAANB68l4AADAC5L0AKkDeCwAAAABoPXkvAAAYAfJeABUg7wUAAAAAtJ68FwAAjIDOzHu99NJLF/UlHY8eQDk9//zzsZ97euWVV6JHRcl7UXnPPPNM7OeeXnvttegBAAAAQMvJewEAwAjozLzXQw89FL9qT+l49ADK6b777ov93NOjjz4aPSpK3ovKu+OOO+Kd3dOTTz4ZPQAAAABoOXkvAAAYAfJeefJeUHbyXnnyXlSJvBcAAABAG5L3AgCAESDvlSfvBWUn75Un70WVyHsBAAAAtCF5LwAAGAHyXnnyXlB28l558l5UibwXAAAAQBuS9wIAgBEg75Un7wVlJ++VJ+9Flch7AQAAALQheS8AABgB8l558l5QdvJeefJeVIm8FwAAAEAbkvcCAIARIO+VJ+8FZSfvlSfvRZXIewEAAAC0IXkvAAAYAfJeefJeUHbyXnnyXlSJvBcAAABAG5L3AgCAESDvlSfvBWUn75Un70WVyHsBAAAAtCF5LwAAGAHyXnnyXlB28l558l5UibwXAAAAQBuS9wIAgBEg75Un7wVlJ++VJ+9Flch7AQAAALQheS8AABgB8l558l5QdvJeefJeVIm8FwAAAEAbkvcCAIARIO+VJ+9VSe+8884LfXn33XejBxUi75VX+bxXf7v7vffeix5UiLxXR/nb3/4W+7mn999/P3oAAAAA7UHeCwAARoC8V568VyU98MADUeCeHn744ehBhch75VU+73X33XfHr9rT1KlTowcVIu/VUW699dYocE9PPfVU9AAAAADag7wXAACMAHmvPHmvSpL36ijyXnnyXlSJvFdHkfcCAACAspD3AgCAESDvlSfvVUnyXh1F3itP3osqkffqKPJeAAAAUBbyXgAAVMpll132f//v/40XbUzeK0/eq5IKz3u1fneff/758RNzI++VJ+9Flch7dZTm5b3K8ic6AAAAlIW8FwAA1bHddtvVarVNNtkkXhft6KOP3meffQr5diJ5rzx5r0oqNu/V7N09h3vvvTctl0yaNCkOMSB5rzx5L6pE3qujNCnvVfiH+F//+tff//7348aN22+//bbZZpsxY8aceuqpl1122T333BM9AAAAoOrkvQAAqIjzzz8/y2c0IxHy5JNP7rjjjtn8hdzIl/fKk/eqpALzXk3d3X360Ic+lK0o79Ugea88eS+qRN6rozQj71Xsh/gVV1yx3nrrZRP2adddd7366qujNwAAAFSXvBcAAFXw97//PW7yNCER8p//+Z+rrLJKzC7vNQzNy3t5SFAbKirv1dTd3adDDz001pP3aljz8l7pkjtx4sR40X7kvfKGn/dyMW9Dhee9hlbltK0qv7PaQeF5rwI/xP/0pz/tvPPOaZ7555//4IMPPv300y+66KLrr7/+pptuSm+qn/70p+lgasrWWmeddSZMmBAjAQAAoIrkvQAAqIINNtggu7uTFJUIeeGFF37xi198+ctfjnnrCrndKO+VN8y8V7EPCXr77bcfeOCBK6+88sQTT9x999133HHHb33rWz/+8Y9/+9vf+uqaQSkq79WM3T2A9M+LxbrIezWoSXmvpZZaKlVhaHUfP378ddddN3369Hg9GG+99dYll1yS1p0xY0Yc6oe8V94wL5JNfWzr008/PXHixCwRkpYYPXp0KtPFF188efLk6EE/is17DbnKo0aNSgPTH2bxmuYoPO9V1Id42rBphvnnnz/9Cf3YY4/F0V5SU+owzzzzZCseeeSR0QAAAACVI+8FAEDpXXrppdlNncyQbya9+OKLd9xxx+WXX/6jH/1o8803j+l6kfcasmbkvQp8SNCkSZPGjBmzxBJLZBP2adttt73iiiveeeedGEP/Csl7FbW7G7fgggvGYl3kvRrUjLxX9j0uydDqvtpqq6WxqaA77LDDWWed1WDw63e/+90+++yz6KKLZkvPNcAk75U3nLxXkx7bOmPGjHPPPXfTTTfNJu9tvvnmS5/Icw32dbIC815DrnK6kmQDk6233jptsdtuu+3xxx+fNWtW9KAgxea9ivoQz8Jea6yxRoMfytdff/3iiy+eLbrVVlvFUQAAAKgWeS8AAMrtvffey27ndBvCzaQ0ZLnllovxOQsuuOBee+0VL+rkvYas8LxXUQ8Jyr7IJ5vnk5/85Oabb/7Nb35z3LhxN9544+WXX54qnn3JULcVVljhnHPOicH0Y/h5r0J296AcddRRsVKdvFeDCs973XzzzVGDodY9Buekefbcc8/DDz/8lFNOueiiiyZOnHj11VefddZZ3/ve9/bff//tt9++O+aV2WOPPWKu/sl75Q0579WMx7b++c9/TtVZZpllYt5abccddzz66KN/+ctfpn09fvz4M8444+CDD15ooYVS06c//elrr702RtJTUXmv4VT5d7/7XYxsgliDLgXmvYr6EM/CXmnsm2++GYcakN632XfCJWm/x1EAAACoEP+nBgAA5bbFFltk93K6DeFmUhoSg+t22mmnCy+8MPvCjzhUJ+81ZIXnvQp5SFB2HzFJs1155ZVxtKcXXnihd+rr4IMP9s0iAxh+3quQ3d24v/71r7FMjrxXgwrPe0UBugyt7jF4qMaOHRsTDUjeK2/Iea/CH9t65513rrzyyjFjrXbggQfee++90dbT448/nn0KLL744sP5sskKKyrvNZwqn3baaTGyaNttt12sQZcC816FfIhfc8012dghZLZuuummbGwy2GdJAwAAQPuT9wIAoMSym0Bf+9rXsns5mSHcTPrhD394wQUX3HjjjZMnT37xxRfjaF3MWyfvNWTF5r0KeUjQ6NGj09gVVljhjDPOiEP9u+eee7K1uq2//vo333xzNNPTMPNeRe3uxnU/+ylP3qtBxea9vv71r0cBugyt7jF4SE455ZSYZW7kvfKGlvcq/LGtf/zjH2Ourst7f0mvvMMOOyx13mijjd5+++04RF0hea9hVvmggw6KkUW78MILYw26FJX3KupDfLPNNksD04dCvB6kQw89NFt66623jkMAAABQFfJeAACU1TvvvFPrevpe9s0c3QpPhMS8dfJeQ1Zg3quQhwSddNJJaeBGG2308ssvx6G5GTduXLZct3XXXTfa6Gk4ea+W7e5u3/ve99L8/+t//a9soW7yXg0qMO+VpoqzXze0usfgQfrUpz513XXXxRQNkPfKG0Leq/DHtp5//vkxUa222GKL3X777dHQj/Hjx48dO/ZrX/va1ltvnYZcfPHF0UDd8PNew69yFvop3J577hkLUFdI3quoD/ELLrggGzjkjfnMM8/MP//82ST3339/HAUAAIBKkPcCAKCsvvzlL9dqtV/96lfyXmVRYN5r+A8Juvvuu+eff/5/+qd/Guz9v8033zyWrDv77LOjjZzh5L1St3RiW7C7M3/5y1/S5BtuuGH6OVuom7xXgwrMe80zzzxx9uuGVvcYPBjbbLPNYP/B8l55Q8h7FfvY1nPPPTdmqdXSG+n3v/99NPRj/Pjx0bvuyCOPjDbqhp/3Gn6Vl1lmmRhZnBVXXHHatGmxAHWF5L1S/3SGh/8hnj6Xs4HDqdQaa6yRTeK73AAAAKgYeS8AAErpxhtvrNVqe++9d/pZ3qssisp7FfKQoB133DGNWnjhhZdddtnPfvazRx99dDTMzVe/+tVsxW5phjfeeCOaqRty3quVuzvzyU9+Mk3+xz/+Mf2cLdRN3qtBReW9Dj/88HTaC3mOZwxuzG677TZ+/PgYORjyXnmDzXsV+9jW9K+KKbqcfPLJ0dC/VPfoXbfBBhtEG3XDzHsNv8qzZ8+OYV2WWmqptddeO80wZNk8Q9vylTf8vFeBH+Kp1tnAoT0rNrPLLrtkk6TPlzgEAAAAlSDvBQBA+bz11lu1Wm3JJZfMbv/Ie5VFIXmvoh4StPTSS8fIuj322CPaBnTsscfGgJw//OEP0Uzd0PJeLd7dyQ9/+MM0cypr9jJbqJu8V4MKyXulS0E650U9xzMbm6Z6+eWXb7755p/+9Kf777//uuuuu+CCCy6xxBJrrbXWDjvsMGbMmLPPPnvmzJkxZvDkvfIGlcko9rGt77///nLLLRdTdD1p94MPPoi2/kXvnqKNuuHkvQqp8u23356NGv7TNq+++upsqsZD3p1mmHmvAj/EZ8yYEcNqtTPOOCOODl73v6EZf0IAAADACPJ/YwEAUD677757rVY799xzs5eF3CoeQMxbl5aLhmGQ98obVN4r9U9VGOZDgl588cUYlvORj3wkmgd0zjnnxICck046KZqpG1req8W7+89//nOadt1113333XezI9lC3eS9GlRI3muxxRZL57yo53hmYwu5Yg9A3itvUHmv1D8VqKhyZ5eObldeeWU0DGjttdeOAXWjR4+ONuqGk/dK3dJZHWaVf/GLX6Qho0aNitdDNX369FVXXTVNtemmm/7973+Po/Q0zLxXgR/i999/fwyr1bbddts4Oni77rprNsmYMWPiEAAAAFSCvBcAACVz/fXX12q13XffPV7Le5XHn//85136ko5Hj7kp6iFBkyZNimE93XvvvdGjf//5n/8ZvXNS+aKZuiHkvVq/u1daaaU0bappvJb3GqrJkyfHfu7pscceix5zk9W6wOd4ZmMLuWIPQN4rr/G8V7GPbf3lL38Zg7tk0zZijoHJZZddFm3U3XXXXbGfe5o2bVr06EdRVT7kkEPSkG9961vxeqgOOOCANM9CCy105513xiF6GU7eq9gP8b/85S8xrMuQn7+58sorZzP87Gc/i0MAAABQCfJeAACUyZtvvlmr1RZbbLFHHnkkDhWUDBhAzFtXyI38zsx7DVOBDwnqL+/10ksvRY/+jR8/Pnrn7LXXXtFM3WDzXq3f3ePGjUtzHnXUUfG6S7ZQN3mv1si+aK3Y53hmYwu5Yg9A3iuvwbxX4Y9t/eIXvxiDu9x2223R0IC0eloxjUr/a78XqMAqb7zxxmnIjTfeGK+H5OKLL86WPvPMM+MQfRly3qsZH+LzzTdfjOwyhMhX+rsuBtdq119/fRwFAACASpD3AgCgTL72ta/Vet2rG/6t4oHFvHVpuWgYBnmvISjwIUFJ6h8j69ZYY41oG9Dpp58eA3JSQaOZusHmvVq8u6dMmZImXGuttWbPnh2HumQLdZP/aI0VV1wxne1in+OZjS3kij0Aea+8BvNexV7ML7vsshjZ5SMf+Uj341kZQQVWeYkllph//vmnT58erwfviSee+OQnP5nWTR80cYh+DDnv1YwP8fXWWy9G1g028nX11VdnA9dff/04BAAAAFUh7wUAQGlcd911tVpt5513jtd1w7yZNFcxb10hN/LlvQbr+qKf9HfnnXeOGjUqBtdq6667boNfCTN27NgYk9N9S5tug8p7tX53r7HGGmnC3/3ud/G6Lluom7xXC2RftFbg7s5kYwu5Yg9A3iuvkbxX4RfzLbbYIkZ2+bd/+7doYOQUW+XUf+ONN44XQ7LXXnulSf71X//1hRdeiEP0Y2h5ryZ9iO+3334xMue73/1uNM/N66+/nuX8Eo9qBQAAoHrkvQAAKIcZM2bUur6344EHHohDdcO8mTRXMW9dITfy5b0GpXlP+rvtttvSPJdccsmsWbPi0NzstttusWTODTfcEM3UNZ73av3u/ulPf5pmO/zww+N1TrZQN3mvZkubOp3nZuzubGwhV+wByHvlzTXvVfjF/Nprr41hdYcddli0MUKKrfLTTz+d+o8ZMyZeD97ZZ5+dLXrdddfFIfo3hLxX8z7Ezz///BjZ09prr3311VdHp/5tueWWWf9tt902DgEAAECFyHsBAFAOBx10UK1WGzduXLzOGebNpLmKeesKuZEv7zUoI/Icz/58+tOfjiXrPCSoT43nvVq8u++///401eqrr/7666/HoZxsoW7yXs221lprpfPcjN2djS3kij0Aea+8uea9Cr+Y9/76nyuuuCLaGCFt9ZE9ZcqUj33sY2nF448/Pg4xoCHkvZr6IT7HF/jlHXjggdGpL905v9VWW62/B0kDAABAqcl7AQBQAtdcc02tVtt+++3jdU/NvokY89YVciNf3qtxI/Uczz7dfffdsV6OhwT1qcG8V+t397rrrpum6u+rQbKFusl7NdU555yTTnKTdnc2tpAr9gDkvfIGzns142Kefyxv5plnnok2RkJbfWQnO+ywQ1pum222idfMzWDzXs3+EH/sscdicF+WW2658ePHR9ecn/zkJ1kHYS8AAAAqTN4LAIB299prr80777zzzz//PffcE4d6avZNxJi3rpAb+fJeDRrB53j26cgjj4z16jwkqD+N5L1av7tPO+20NM8hhxwSr3vJFuom79U8f/nLX9IZbt7uzsYWcsUegLxX3gB5r2ZczCdPnhxj6tLFJNoYCe32kX3KKaektRZbbLH7778/DjE3g8p7teZDPP3NHOP7sdtuu0XXf/zjb3/72/rrr58dX3PNNYW9AAAAqDB5LwAA2t2hhx5aq9VOPfXUeN1Ls28ixrx1hdzIl/dq0Ag+x7O32bNnL7XUUrFel0996lO972qTaSTv1eLdfe+996ZJVl111ZdffjkO9ZIt1E3eq3k222yzdIabt7uzsf1dsWfOnDllypTHHnssXg+VvFfeAHmvZlzMzzjjjBhTt/TSS0dbXfonXXnllccff/z2228/evTodLW54YYbpk2bFs0Uqq0+sm+99dZ//ud/Tmudd955cYgGDCrv1bIP8Tnm6W2BBRYYP3785ZdfHq9rtfRH9axZs2I8AAAAVJG8FwAAbe3KK6+s1Wpbb711vO5Ls28ixrx1abloGAZ5r0aM7HM8e/vxj38ci3VZdNFF//u//zva6GWuea/W7+40PE1yxRVXxOu+ZAt1k/dqknPPPTed3qbu7mxs/or9/PPPn3baaRtuuOHSSy+dtSYLL7xwmv+QQw659tpro99gyHvl9Zf3atLFfNttt40xdWussUa0/eMfH3zwQRZG6dOWW27561//OvWJ3gxbu31kb7rppmmh3k+WZGCN571a/CF+3nnnLb744jHRgNLuvuWWW2IYAAAAVJe8FwAA7Wv69Okf/ehH55lnnttuuy0O9aXZNxFj3rpCbuTLe83ViD/Hcw4XXHBBrNQlvS1vvPHGaKMvA+e9Wr+7Tz311DTDgQceGK/7kS3UTd6rGR599NF0bpu9u7Ox2RX7jTfeGDNmzKKLLpqOLLnkkuutt96ee+6ZLrmjR49eZ511FlxwwazzpptuevHFF2fDGyTvlddn3qt5F/MYkNM9Nl1n0s/pyL//+7+ffPLJN99885tvvvn4449fc801+eVWW221H/7wh9kQhqPdPrK7l0ulj0M0psG814j8iZ7+rthuu+1irn6svvrqV111VQwAAACASpP3AgCgfY0ZM6ZWq5100knxuh/NvokY89al5aJhGOS95mrEn+OZ993vfjeW6bLtttv+7ne/izb6MXDeq8W7+6677krDV1xxxWeffTYO9SNbqJu8VzPsvPPO6dw2e3dnY9NU6S33+c9/Pv282WabXXPNNdGc8+ijj2600UZZ/yR1fuKJJ6JtbuS98vrMezXpYj579uwYkLPLLrukpnR9XnjhhdPL/hZN+zr/cN6vfOUr0cBQtdVHdqpvtsrXv/71OETDGsx7jeCf6HPM2afRo0enC3sMAAAAgIqS9wIAoE1dccUVta7b8/G6f82+iRjz1qXlomEY5L0G1g7P8XzmmWcuv/zyI488cquttoo1ur7+Z/z48dGDAQ2Q92r97s6e+9bIVzdlC3WT9yrceeedl05sC3Z3NjZNtfDCC6+66qoXXHBBNPQjv+h666338ssvR8OA5L3yeue9mncxnz59egzI2X///VPT9ttvn37+5S9/mfXsz/LLL5+NSsaMGRNHGbx2+MjOS5Nnq6Q3ahyiYY3kvUb2T/S77rprrt/ylSy22GJnnHFGjAEAAIAqkvcCAKAdvfjii0suuWStVvt//+//xaH+NfsmYsxbV8iNfHmvAYzgczyPPvro9ddff8UVV1xooYVi3rovfvGLF154YfSjAf3lvf70pz+1eHeffPLJaWyDX/SSLdRN3qtYf/3rX9NZbc3ujsG12oILLnjnnXfG0QF99rOfjTFd4ZW33347Gvon75U3R96rqRfzadOmxYCc73znO7/73e/SD+edd170699f/vKXbFTGR/DQjOBHdp/OP//8bIkddtghDjEYc817jeCf6C+88MLYsWOzqVZeeeVzzjkn+3kAe++995NPPhnjAQAAoFrkvQAAaEcHHXRQrVb73//7f8frATX7JmLMW1fIjXx5rwGM4EOCdtttt4985CMxY08LL7zwEUcccf/990dX5ub111+f1Jevf/3r6Xy2bHfffvvtaeCyyy7b4B3fbKFu6R8cDRRhn332SWe1Nbs7Bg+miLfeemuM6fLv//7v0dC/zsx7vfrqq127eU5vvvlm9OjS1Iv5ww8/HANy0lTrr7/+hhtuGJ3m5mc/+1mM7PKrX/0qGmjYCH5k92m99dbLlrj00kvjEIMxffr02M89zZ49O+swUn+ijxs37l/+5V+yefbaa6/s4IwZM9KFOjvYnxVXXPE///M/s/4AAABQJfJeAAC0ncsuu6xWq2200Ubvv/9+HBpQs28ixrx1abloGAZ5r/60z3M8k1mzZt12223nnHNO9jTAzMorr3z44Yc/+uij0YnBaP3uzh7Hef7558fruckW6jZJ3qs4v/zlL9Mpbdnuzp7WN9gKzhEduP7666OhH52Z92pEsy/md999dwzIyaZKS0enuZkxY8aCCy6YjU2WWmqpv/zlL9FGA9rqIzu5+OKLs/lXXXXVDz74II5SnBH5Ez39MbbzzjvHFLXauHHjoqFuwoQJH/vYx6K5L2lr559HCQAAANUg7wUAQHt57rnnPvWpT9VqtZtuuikOzU2zbyLGvHVpuWgYBnmvPrXVczzncMkll6y77rqxWK22+OKLn3LKKdFGY1q/u3/wgx+kUfvss0+8bkC2UDd5r6JMnTp1nnnmSae0Zbv73nvvfeGFF+JFw0499dRYtUu6MkdDP+S9+tSCi3namzEgZ5VVVtluu+2iR2N22mmnGNylkS91I9OGH9kbb7xxNr892Awj8id6epttvvnmMb5W6+9rVmfMmHHYYYdFp7584xvfiK4AAABQFfJeAAC0l/33379Wqx177LHxugHNvokY89YVchNR3qtPbfUczz599rOfjfW6bLDBBtddd120MTct3t3Zs/n+5V/+ZVBfxpYt1E3eqyhf+cpX0vls592dufPOO2PVuoG/4kveq08tuJj3rlTmvPPOix6NOeOMM2Jk3eWXXx5tDKjdPrKzLxvLjB8/Po5SnNb/iT516tQvfOELMbhWe/3116OhHxMmTPjMZz4TvXuxtQEAAKgYeS8AANrIb37zm1qttt5667399ttxqAHNvokY89YVciNf3qu3dnuOZ596f6PMIoss4iFBjWj97t5iiy3SkHPOOSdeNyZbqJu8VyHOP//8dDLbfHd3m+O5YOniHA19kffqrTUX8ylTpsSAnh555JHo0Zgbb7wxRtYdcMAB0Ub/2vAjO7vmZx577LE4SkFa/yH+wQcfrLXWWjGy4QzfjBkzDj/88BjT02qrrfbKK69EPwAAACg/eS8AANrFM888s+KKK9ZqtRtuuCEONabZNxFj3rpCbuTLe82hDZ/j2Z851k122WWXaKMfrd/d3//+91P/3XffPV43LFuom7zX8D3xxBOLLbZYOpntv7sz+WeHZQb4l8t7zaFlF/O//vWvMSBnueWWi+aGTZ06NQbXLbHEEtFGP9rwI/uaa66JqVWwCUbkT/Sf/vSnMaxWO/DAA+NoYyZMmLD66qvH4JzDDjssegAAAED5yXsBANAu9ttvv1qtdsQRR8TrhjX7JmLMW1fIjXx5rzm04XM8+3PXXXfFkjmnnHJKNNOXFu/uP/3pT6nz4osv/uCDD8ahhmULdZP3Gr599903nclS7O7MDjvsEAvXjRs3Ltp6kfeaQ8su5s8880wMyNluu+2ieTBicI6NP7A2/Mj+0pe+FFO3/IrRCVr/J/rrr7++0korZaNWWGGFZ599Nhoali4R+XdF5lOf+lQ0AwAAQPnJewEA0BZ+/etf12q1tdZaa+bMmXGoYc2+iRjz1hVyI1/eK689n+M5gHXXXTdWzXnooYeimZ5av7s33XTT1PlnP/tZvB6MbKFuYh/DdMEFF6TTWKLdney9996xcN0AD/iT98pr5cX8lVdeiQE5++67bzQPRgzOSZ/R0UYvbfiRfd9998W8XYYQS2IAI/In+oknnhhjarUf//jHcXTwDj300Jil7sknn4w2AAAAKDl5LwAA2sLyyy9f64pSDU12CyezySabxNGehpzbiHnr0lTRMAzyXt3a9jmeAzj99NNj1Rz5gP60eHenl6nnTjvtlDUNVrZQtzjaSyzGgJ588slll102ncYS7e7kgAMOiIXr1l9//WjrRd6rW4sv5rNnz44BOWPHjo3mwYjBOWPGjIk2emrPj+xTTz015u1y7rnnRgNFGJE/0T//+c/HmFpt4sSJcXRI9txzz5ioy9VXXx0NAAAAUHLyXgAAtIW4CdNM8l7tqW2f4zmA22+/PVbNWXHFFQf1ZSedI05QM/XOezVVi+NH5fW1r30tna5y7e5k7NixsXDdIossEm29yHt1a/HF/O9//3sMyDn++OOjeTBicM5ee+0VbfTUnh/ZW221Vczb5aabbooGihCntZl6/4m++OKLR1ut9sYbb8TRIZk8efICCywQc9Vq3/ve96IBAAAASk7eCwCAthA3YZpJ3mvE/c///M97Pf3qV79Kp7Q9n+M5gIcffjhW7em6666LHuTE2Wkmea8R13t3n3/++elctX53v/LKK+edd14aMnr06HPOOeeJJ56IhoZ973vfi4Vzpk2bFs09yXtlRuSJb//6r/8aY+q+/e1vR9tgxOCcbbbZJtrI7e7sI/tzn/tc2mXpZToePRrQvI/s11577cMf/nDM22Xq1KnRRhHitDbTHH+iv/rqq9FQq62xxhpxdBjyb7/tt98+jgIAAEDJyXsBAFB6cQOnrvAoRsxbV8iN/M7Mez300EPxq9Zl37gwZsyYdFaHIKtIJtU9jvY0QM5vypQpb731VrwYjGeffTZW7emUU06JHhQkzmxd4bt7DukNEyvVDTkn2mnuu+++2NV12e4+9NBDs504WNn5zzS+u2fOnLn22mvHsC677bZbtDXsyCOPjME5d999dzT3JO+VGZEnvn3961+PMXWjR4+OtsGIwTmpiNHGP/5xxx13ZG/sbFOvUnfYYYdFbRqTndvMED6y+3PJJZfEpHUffPBBtDHSoiR1DX6IT548OQbUat/4xjfi6DDk3yR77rlnHAUAAICSk/cCAKD04gZOXeGJkJi37oQibuQffPDB66yzzqc//emlu6Qf0ssDDzwwmiuqd94rzmkz9Xnz+Ec/+tHqq6+eddhll10mTJgQDY154403srFz2H///aNHT48++uh1112XFt2zS/ohvUwHo5n+xZmtK3x3zyHt7lipbgjhg84sd++8V5zBZupdne985zvRlnPhhRdGc2MOOOCAGJnT39dWjR49eu21115llVWWWmqp7ov5oYceGs0dI05TM/Uu9znnnBNtdTvvvHO0DUYMzunz4/jtt99+4IEHrrzyyhNPPHH33XfvnN3dnfeKs9NMQ7jk7rPPPjG4y3LLLRcNw9Ox5S5WVKWuwQ/xRx55JAbUaocddlgcHYYpU6bEdLVan/9xhXIDAABQRvJeAACUXtzAqWvnvNddd9117LHHrrrqqjFXL6kpdUjdYkC1tEne64c//GG01S2yyCJ33nlnNDcmRvY0x3uvw8tdiDhTde2c9+rwcrdJ3mu33XaLtpzBfsXX7rvvHiPrll9++Wirs7vnEL92M/Uu92233RZtdZtvvnm0DUYMzpnjgz4tPWbMmCWWWCKae6l2uds877XkkkvG4C7D/5jo8HIXK05ZXYPV+eCDD+aZZ55sSHrjxdHhyWZLfv7zn8ehLsoNAABAecl7AQBQenFDpq49814XXXTR5ptvHlM0IHVOQ2JwVfTOe2XS8egxGHGm6hqse39fzbXBBhtEjwbMnDkzhvW03377ZR2UuyhxguraM++l3EnvvFdmaF+OEmeqrvG6pxVjTE5/X7zXn6233jpG1m233XbR9o9/XHbZZcpdrDhTdY2Xe9asWfPNN18M67LyyitH22DE4Jyzzz47a0q1S/+eONqAVO7f/OY32djK6M57zeHJJ5+MHg2IE1RX1MX8zjvvjBnr8rt1sJS7cHGm6hqv++c+97lsyGqrrRaHhuHhhx/OZku6v9JVuQEAACg7eS8AAEov7sPUFXUTsVvMWzeEvNchhxwSgwcpDYwpKqEd8l75e355iy++ePRowNNPPx3DejrxxBNTq3IXKE5NXeG7ew5DyHspd6ZN8l69K5gM9nmOn/3sZ2Nk3be//e2s6Sc/+UkcGiS7ewBxjuoGtc3XX3/9GNZlnnnmiYaGvf322zE456qrrkpNQ97dfT4wrrzaOe/Ve8vvuuuu0TZIyt0McY7qGq/73nvvnQ2Zf/75n3vuuTg6VOPHj89mW3HFFadPn56OKDcAAAAVIO8FAEDpxR2YusITITFv3WDzXl/4whdi5JCk4TFR+bVD3uu+++6LAT0ts8wy0aMBDz74YAzr6cILL1TuYsV5qSt8d89hsHkv5e7WJnmvq666KsbUDfaKnSy88MIxuO7aa69Nx/t8WGTj7O7+xAmqG9Q2P+OMM2JY3dNPPx1tjZkyZUqMzLnnnnuGubt32WWXWKD82jnvdfDBB8eMdfvuu2+0DYZyN0mcoLrG657/OD766KPj6FB1z3bWWWell8oNAABANch7AQBQenH7pa7wREjMWzeo9ECMGbaYruTaIe/1/vvv/9M//VOMydltt92iRwNuueWWGNYcsQzN391zGFTeK3oMW0xXcm2S93rkkUdS/0033TSV8owzzpg4cWI0NGzatGnZot0233zzdDxeDFu2CnlxauoGtc1nzJix3HLLxcgujTyDNe/qq6+OkXV77LFH/DQ8w3mwYFtp57zXzjvvHDPWHXTQQdHWsBg5PJUpd7Hi7NQNqu5bbLFFNmr++eefMmVKHB287r/ZstWzn4dJuQEAAGgH/q9GAABKL+691C2//PLRUJCYt27vvfeOhrk57LDDYsywpali0jJrh7xXssEGG8SYnEHF+Pp8ptsKK6wQPw1bNcpdiDgjdYXv7jn0znv96le/iraehvlVT3nVKHeb5L2SNdZYIw259dZb4/Ug3XDDDdmi3S655JJhfhlMnt3dW5yausEmgb73ve/FyC5HHHFENDTmlFNOiZF1G264Yfw0bIN9lmh7aue81xwP9EzGjh0bbY0p8GJejXIXK05N3aA+xF9++eX5558/G7jrrru+/fbb0TBIq622WjbJddddp9wAAABUibwXAADldu+998aNl5wbb7wxmodt0qRJMWndmmuuOWPGjGju3/jx42NAQdKEMXVptUnea8yYMTGmy2abbXb77bdHW2O22WabGNw0FSj38DV7d/c2evToWKZun332ibacPgN/w1GBcrdP3iuL7+y4447xepDmeA+su+66hxxySLwoiN09hzgvdYNNAk2dOnWBBRaIwbXaF7/4xWhozEYbbRQju6y44orxU0GG8CVz7aad816963XcccdFWwMKv5hXoNwFGv6H+O9///sYVqttscUWzz//fDQ07IgjjsiGpwuvcgMAAFAx8l4AAJTMu++++8wzz9xzzz3jx4//0Y9+tPjii8ddl5xRo0aNHTt20qRJDz/88PTp02NkA9566600+eTJkydOnHjBBRf0/rKfzDbbbJOWTvPff//906ZN6x3/mjJlysc//vHoXZA04XAeZ9MO2iTv9V//9V/ZkFTBVL442rD0jppnnnmyGbrNO++88VNBKlDuIWjq7u7T66+//sgjj6TZzj777N5hr8xuu+121lln3X333endMnv27MsuuywailOBcrdP3uv555/P3jlDe5jjggsumC2aOfDAA+On4nTm7h5AnJe6ISSBDj744Bjc5bbbbouGuUnvzxjTNMsvv/yDDz4Y65VTO+e9FlpooZixrvFv62zGxbwC5R6OZnyI5/8UX2edddLk0TA36W/L9DbLBqZ/j3IDAABQPfJeAACUxqReX7U1KDFLX4Y5c142YeHfB5NJ02bzl1RT816DekjQsccem40a7Dd7JSeddFI2tttHPvKR+KlQZS/3oDRvd/en+zZwmyh7uZua9xrU7k6yZ+mm1d9666041Jj99tsvWzFz+OGHb7755vGiUB21u+cqTkrdYMudvP7669lzPDO77LJLNMzNf/zHf8SYLssss0z8VKiyl7sZea8hVLm3WbNmxXQ5jee9CnxwZ15n7u6mfojfeeed+WDfV77ylT/84Q/R1pcpU6YcccQRCy+8cOq85pprju/6SsUmlfuoo47KFgUAAIDWk/cCAKA0ypL3euyxx/LPlipQmjZNnv2by6jAvNfwHxL0+c9/Pht11VVXxaEGXHrppdmobh/96Efnm2++eFGospd7UOS9yl7uAvNew9/dDz/88GqrrZZGpW0+efLkODo3c3yh48Ybb3zXXXfFi6J11O4eWFGPbZ1jnnStjob+TZw4MXp32WGHHeKnopW93MPPexVV5Tk8/vjjMVdOg3mvAv/wm0Nn7u5mf4g/++yz22+/ffTussUWW+y3336p3Jdccskf/vCH8ePH/+IXvzj55JO32mqrrMNKK600bty49957Lw1vXrmXX3752bNnZ/9IAAAAaDF5LwAASmNST3fccceUKVOmTp36wgsvzJw5M7uj0y29fPHFFx966KHoPWlSNPQlekyadMstt6Qhzz777KxZs6Ktf++///6rr776xBNPTJ48OcZ3rdL93VHNkCbPVi+j4eS9mvGQoE984hPZwMMPP7z3Qzn7lPXvNs888+y+++7xoglKXe5BybZPtwJ3d39iZJf//u//vvfeex955JGnnnrqlVde6f2lUOnfkHb6XXfdtc0220RtmqDU5R5O3qsZu7s78vXRj3708ssvj6P9S32yhTILLbRQOvitb30rXjdB5+zuOTTvsa1pwhhfq62yyippX0dDP6Jrl6985Sv9PdG1EKUu9xDyXq15OO9tt90Wc+U0mPdS7mL9/x+lOU36EE9vp9122y3Ocv+WXnrpH/zgB/m/65pa7gsvvDCWAQAAgNaS9wIAgCK98847Sy65ZNwCaoI0eVoiFiuboeW9JjXzSyOOPPLIrNuaa645YcKEAVJfl112Wdaz23rrrXfllVcqd3+efvrp0/ry3HPPRY8SisI0R6nLPbS8V1N3d3fkKznhhBPSy2jo6dZbb91jjz2ybpl99tkna4rXzVHqcj/xxBOxn3t66aWXokdfmlruzMknnxy9u/K45557bjT09N3vfjc6dcmeyBYvmqPU5R5U3qsFVe6WNnUMyznnnHOieUDRuzlKXe7HHnss9nNPr7zySvQYaTNnzjz77LPHjBmzww47rLXWWkssscRCCy20/vrrH3zwwan6t912W+//ZiMK0xzbbbddLAMAAACtJe8FAABF6vPpQsXabbfd9iunnXfeedm+pOPRoy/bbrtt/OZDErP0b/3114+utdqHPvShj3/846utttrmm2+e1k3WW2+9VVdddamllooeXeaZZ5611lpr9OjRjXzPxDCVt9w77bRTFLinXXbZJXqUTVO/yy1T3nLvuOOOUeCedt111+jRl2bv7vRmS/+G6N31pS/rrLPOxhtvvPXWW2+44Yaf+cxn8q3JvPPOu8kmm2RjW1Du9HkRnxxlc/fdd0fkp6epU6dGj760Jgn00EMPLb/88jGmVksXou9+97sXX3zxjTfeeMYZZxx66KFbbrlltNVq6R34pz/9KY16+umn41DTlLfcbZv3eu2112JYzrXXXhvN/VPuAdx6661R4J6eeuqp6FE2zS53+hMxVgIAAIDWkvcCAIAiDfNOZyPWX3/9uPlWNptssskn+pKOR4++pN83b8MNN/y3f/u3zTbbbMstt9xmm22+9KUvRb8u6eVWW22VJozejZ2r1H+VVVZZeOGF4xT3b8EFFxw1atTGG2+cDUzzR0PTNPgrtKFUpihwTwOXu51tsMEGUZWmKW+506aIAve06aabRo++/P9bNKcZuzv5whe+kP4lcYr7kW3ttHqMaUm50+dFfHKUzZDzXnlNfWzr8ccfH2e5H8suu+xZZ50Vvf/xj1tuuSUammawv0L7GGz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    }
   },
   "cell_type": "markdown",
   "id": "fffc324b",
   "metadata": {},
   "source": [
    "That was pretty abstract. Let's get some visuals to help us understand it all. <br>\n",
    "Below are drawings of partitioned domains for some values of $I$ <br>\n",
    "\n",
    "![Rectangular%20Corner%20various%20CVs.png](attachment:Rectangular%20Corner%20various%20CVs.png)\n",
    "\n",
    "### Some remarks\n",
    "\n",
    "**Remark 1**: Why is the first node 0? This is because in computer science, indexing starts at 0; we have to follow this convention.\n",
    "\n",
    "\n",
    "**Remark 2**: Nodes that are completely surrounded by other nodes, i.e. all four edges are touching another node, are called interior nodes. Notice that sometimes we do not have any. <br> \n",
    "An exercise for you: Define a condition on $I$ such that we always have internal nodes. \n",
    "\n",
    "\n",
    "**Remark 3**: Observe how quickly the number of partitions grows. This is why if you make ```I``` too large, you will run out of memory. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce80a0cb",
   "metadata": {},
   "source": [
    "# 2. Setting up the problem on a computer\n",
    "\n",
    "Now that we put in all our knowns and created a fully specified and partitioned domain for numerical analysis, we can move ahead to coding the problem so we can get our unknowns, the nodal temperatures. If you look back at all those different domains, finding the nodal temperatures can be thought of as finding the temperature at each dot. So, each dot represents an unknown temperature $T_i$, where $i$ is the node's index number."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e45aef02",
   "metadata": {},
   "source": [
    "## A system of equations\n",
    "\n",
    "<br>\n",
    "\n",
    "### Wait...an entire system of equations? How?\n",
    "Remember that we said each node represents an unknown temperature. As we know, we need some kind of equation in order to solve for an unknown. We have $m$ nodes in $x$ and $n$ nodes in $y$. A quick way to find the total number of nodes is $m \\cdot n$. Since each node is an unknown, we need $m \\cdot n$ equations. So yes, we do have a system of equations. \n",
    "\n",
    "\n",
    "**Remark**: Depending on what your $I$ and $J$ are, the system can be very large!\n",
    "\n",
    "### Ok...how do we solve a system then?\n",
    "The coming nodal equations turn out to be linear, so matrix methods are a good way to solve a system of linear equations. Our goal is to set up and solve a problem of the form: $A\\vec{x} = \\vec{b}$. Following standard linear algebra terminology:\n",
    "\n",
    "<br>\n",
    "$A$ is the coefficient matrix. <br>\n",
    "$\\vec{x}$ is the vector of unknowns. <br>\n",
    "$\\vec{b}$ is the solution vector.\n",
    "\n",
    "### So which is which?\n",
    "$\\vec{x}$ is the vector of unknowns, and the nodal temperatures are unknown. So, $\\vec{x}$ is a vector that stores all the nodal temperatures. Simple enough, but how do we know what to place into $A$ and $\\vec{b}$? \n",
    "\n",
    "<br>\n",
    "To answer that, we'll need to start generating equations, but first we have to create an $A$ and a $\\vec{b}$. Here we run into another problem: What size are they?\n",
    "\n",
    "### Sizing the problem\n",
    "We can answer this by thinking about $\\vec{x}$. This is a column vector, with $m \\cdot n$ entries. Let's just call this product $q$. This means $\\vec{x}$ is a $q \\times 1$, column vector.\n",
    "\n",
    "<br>\n",
    "We can use the definition of matrix multiplication and a property the $A$ matrix must have in order to find the dimensions of $A$, and then the product $A\\vec{x}$ will tell us the dimensions of $\\vec{b}$. \n",
    "<br>\n",
    "<br>\n",
    "Let's just start with an arbitrary size, $d \\times c$, for $A$. In order for the matrix product $A\\vec{x}$ to be defined, $c$ must be equal to $q$. Since we are looking to solve the problem $A\\vec{x} = \\vec{b}$, we require $A$ to be a square matrix. Thus, $A$ is a $q \\times q$ matrix. Finally, the product $A\\vec{x}$ has dimensions $q \\times 1$, so $\\vec{b}$ is a $q \\times 1$ column vector.\n",
    "\n",
    "\n",
    "**Remark**: $A$ being $q \\times q$ also makes sense when you consider that it has to store all the coefficients for the equations. Since there are $q$ unknowns, there are $q$ equations, resulting in $A$ having $q$ rows. Having $q$ columns is then a requirement brought about by the nature of matrix multiplication.\n",
    "### Initialize $A$ and $\\vec{b}$\n",
    "We want them to be empty, but we can't really just make matrices with nothing in them on a computer. We have to put *something* in there to start. Let's just put zeros in them to represent \"nothing\". We'll see later that this is actually a good choice."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2e1753b8",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "array([[0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       ...,\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.],\n",
      "       [0., 0., 0., ..., 0., 0., 0.]])\n",
      "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
      "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
      "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
      "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
      "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
      "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
      "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
      "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
      "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
      "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
      "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
      "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
      "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
      "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
      "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
      "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
      "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
      "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
      "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
      "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
      "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
      "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
      "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
      "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
      "       0])\n"
     ]
    }
   ],
   "source": [
    "q = n*m\n",
    "\n",
    "A = np.zeros((q,q))\n",
    "B = np.repeat(0,q)\n",
    "pprint(A)\n",
    "pprint(B)\n",
    "\n",
    "#We printed A and B so you can get an idea of how the problem size grows with desired number of nodes."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d23d36c",
   "metadata": {},
   "source": [
    "### Wait, there was one index and now there are two??\n",
    "Understanding how to interpret the indices of the entries of $A$ will be important in the next part, so we have to take a moment to make sense of the double index. \n",
    "\n",
    "<br>\n",
    "Certainly, the single index that corresponds to the node number isn't so hard to understand. What $i$ is in $T_i$, we just go to the node that is numbered that.\n",
    "<br>\n",
    "<br>\n",
    "For any entry of $A$, we have a double index $[k,l]$. To interpret an index pair, we'll first look at a grouping of indices. We know that each node has an equation attached to it, i.e. each node gets its own row in $A$. So, that would mean the $k$th row of $A$ is associated with the $k$th node. Thus, we can think of the first index as referring to the corresponding node index in our domain. \n",
    "<br>\n",
    "<br>\n",
    "$l$ ranges from $0$ to $q$. It turns out that $l$ also refers to the analogously indexed node that sits in our domain. \n",
    "<br>\n",
    "<br>\n",
    "When we take $k$ and $l$ as an index pair, what the $[k,l]$ means is \"what is the relationship between node $k$ with node $l$?\" \n",
    "<br>\n",
    "<br>\n",
    "Thinking about a row of $A$ again, as we go across it, $k$ is constant. All we are doing is going through all values of $l$ to fill up the row. This process is basically asking \"For node $k$, what interaction does it have with node $l$?\" \n",
    "\n",
    "\n",
    "**Conclusion**: Individual indices refer to the analogously indexed node in the domain, and the two together, as a pair, amount to asking \"how they are related to each other?\""
   ]
  },
  {
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zP7HTEg8//HBMarTOnTun+9xll11iFQAA0App+AAAoDgNHyuq0pvwpdyKD8qn4QMAqs13v/vdOLPPeOSRR2K4rdptt93St6IJM7jPP//83/7t39LdLqVTp04xqSlst9126W4HDhwYqwAAgFZIwwcAAMVp+Fgh5d2EL+VWfFAmDR8AUFXefvvtOKfP6NChQwy3Vc8991y8F+3a/fnPf461jTZx4sTYaYmePXvGpKbQtWvXdLejRo2KVQAAQCuk4QMAgOI0fKyQ8m7Cl3IrPiiThg8AqCo33nhjnNNndO/ePYbbqgsvvDB9K3beeedY1RR+/vOfp7stdckll8SkplDb8D3wwAOxCgAAaIU0fAAAUJyGjxXPsm/Cl3IrPiiHhg8AqCrJBWyc0GdcfPHFMdxW7bTTTulbce2118aqprDDDjukuy3VtL+8uLbhmzdvXqwCAABaIQ0fAAAUp+FjxbPsm/Cl3IoPyqHhAwCqSufOneOEPuOhhx6K4TZpypQp6fvw/e9/P1Y1hU8//fTf//3f0z0vpaamJiY1ka233jrZ7dprrx2PAQCA1knDBwAAxWn4WMGUcxO+lFvxwXJp+ACA6jF37tw4lc/o0KHD559/HjPapHPOOSd9K4YPHx6rmsK9996b7rbUgQceGJOayJe+9KVktzvttFM8BgAAWicNHwAAFKfhYwWTvQnfGWecEX+qj1vxwXJp+ACA6jFu3Lg4lc/o3r17DLdV22+/ffI+rLTSSjNmzIhVTeG0005L3+FSTRsLvv766+lu//d//zdWAQAArZOGDwAAitPwsSLJ3oTvjDPOSNakf87jVnywbBo+AKB6HHPMMXEen3HBBRfEcJs0efLk9H3o0aNHrGoiaRpYr+RJY1JTqL3h3+WXXx6rAACA1knDBwAAxWn4WJFkb8KX/katn//85/G4Pm7FB8um4QMAqsemm24a5/EZ999/fwy3Sb/4xS/S9+Hqq6+OVU3hk08++cIXvpDueSk1NTUxqYn85je/Sff817/+NVYBAACtk4YPAACK0/CxwsjehO/nP/95uvLzzz9P1+RxKz5YBg0fAFAl5syZE2fwGR06dPj4449jRpv0gx/8IH0f3nzzzVjVFO655570HS518MEHx6QmMnDgwHTPc+fOjVUAAEDrpOEDAIDiNHysMLI34fvss89i7b/+dfrpp8fa+rgVHyyDhg8AqBJjx46NM/iM7t27x3Cb9Pbbb6fvQ79+/WJVEzn11FPTPZe67LLLYlITSf5PTHb7zW9+Mx4DAACtloYPAACK0/CxYsjehO+0006LtYt9+umn6fo8bsUHeTR8AECVOOqoo+L0PaONX7pOmzYtfR8mT54cq5rID3/4w3TPpR5//PGY1ESOPvroZLfHHXdcPAYAAFotDR8AABSn4WPFkL0J36effhprlzjttNNirD5uxQd5NHwAQJXYeOON4/Q9Y9KkSTHcViXvwO233x4PmsjHH3/8xS9+Md7iumpqamJSk/JfVQEAwIpBwwcAAMVp+FgBZG/Cd+qpp8bajE8++SQdzeMfjaBeGj4AoBq88cYbceKe0aFDh4ULF8aM+sycOfP+++8fM2ZMcrafnMDce++9L7zwwqJFi2KYHHfffXe8xSUOPfTQmAQAAFBCwwcAAMVp+FgBZG/C98knn8Tauk499dSYUR+34oN6afgAgGpw7bXXxol7xl577RXDGU899dRRRx313e9+d/XVV495Jbp3737TTTflXTgwdOjQeKdKXHHFFTEJAACghIYPAACK0/DR2mVvwjd06NBYW+Ljjz9O5+RxKz4opeEDAKrBkUceGWftGWeddVYML/biiy8OGjRo5ZVXjuEl1l133a222qp9+/bxeImNNtpozJgxsTEZO+ywQ7xHJZ588smYBAAAUELDBwAAxWn4aO2yN+H7+OOPY219lnE/iYRb8UEpDR8AUA2+9a1vxVl7xr333puOvvHGG6eeeuoaa6wRA+3a7b333meeeeYtt9zy+uuvp3M++uijBx98cJdddokZS/zf//1fOoFU8kattNJK8e7UVVNTE5MAAADqo+EDAIDiNHy0atmb8J1yyimxNsdHH32UzszjVnywFA0fAFBxr732WpyvZ3To0OH9999PRqdNm9a5c+dY267doYce+vDDD6cb1iv7nwClXAVk3XXXXfG+lOjdu3dMAgAAqI+GDwAAitPw0apl/wVu0aJFsTbfKaecErPr41Z8sBQNHwBQcX/4wx/ifD1jjz32SIayAd++++47ceLEdJNlSDZJ59eqqamZP39+DLd5y7hiGjlyZEwCAACoj4YPAACK0/DRemVvwjdkyJBYu0yLFi1K5+dxEw7I0vABABXXt2/fOFnP+MUvflEb8G288ca33nprzC7Drrvumu6k1sUXXxxjbd7//M//xJtSYsqUKTEJAACgPho+aFEnnnhiTU3NF77whVVWWeVLX/rSGmus8fWvf32dddbp1KnTRhtttMkmm2y22Wbf+973tt5662233Ta54N9+++232WabLbfcskuXLt/5zne+9a1vJZuvt956a6211le/+tUvf/nLq6666korrdSuXbvtttsungMAaEEaPlqv7E34Fi5cGGuXZ8iQIbFNfdyKD7I0fABAxW200UZxsp5x5513pgHfeuut99hjj8XU8px33nnpTmptscUWMda2LVq0qH379vGm1FVTUxOTAAAAcmj4oOXMmDEjLtmbx7PPPhvPRNszZcqU6dOnl/Mr8ABoWho+WqnsTfh+9rOfxdoyLFy4MN0qj1vxQS0NHwBQWTNnzozT9IwOHTqkAd8aa6xx3333xdSyjR49Ot1PVvJEMdyG3XnnnfF2lOjdu3dMAgAAyKHhgxb1/e9/P67am9o222wTz0Hbc9ddd9XU1CTfBuuss86kSZNiLQAtQsNHK5W9Cd+CBQtibXkGDx4cW9bHrfigloYPAKis3//+93GanpEGfO3bt2/Qr9Ctddttt6X7ybr//vtjuA1bxj3Lr7zyypgEAACQQ8MHLeqjjz6aMWPGgw8+OGmJ66+//sILL9x1113jan6Zampq9thjj5NPPvn8889PLvtvuOGGe+65J91PPAFtz+jRo7O/o8E3A0AL0/DRGmVvwpecW8basi1YsCDdNo9b8UFKwwcAVNbhhx8e5+glCp+T1Hu3uWuvvTaG27CuXbvG21Hi6aefjkkAAAA5NHxQLc4///y4oM9x8cUXx1RY7KOPPjr77LPj+2MJDR9AC9Pw0Rplb8L34YcfxtqGOPnkk2P7+lTbrfimT5/+xz/+8fTTT//JT35y0EEHJV/+b3/723vvvTeGy5PsYcCAAXvttVePHj1OPPHEyy677I477vjkk09iGOqj4QMAKiv93R2l9tlnn5jRcOPGjYu9ZJxzzjkx3FYtXLhw5ZVXjrejruT/hZgEAACQT8MH1WLSpElxTV8fv4+MrFdfffWss87adNNN4/sjQ8MH0MI0fLQ62ZvwnXTSSbG2gT744IN0D3mq4VZ88+fPHzhw4IYbbhivqUTyt/WWW26J2TnefPPNiy+++L//+79jm7rat2/fp0+f6667LmZDXRo+AKCCZsyYEaetda266qqTJ0+OSQ03atSo2FHGhRdeGMNt1R133BHvRYnevXvHJAAAgHwaPqgWy2j4+vbtG5No8x588MHjjz9+jTXWiG+OEho+gBam4aPVyd6E74MPPoi1DXfSSSfFXupT8VvxTZgwYYsttohX067dWmuttcsuuyRfe8eOHWPVEvvtt19sU2LixInf/va3Y167dl26dOnTp0///v27du261H6qoVmkCmn4AIAKGj16dJyt1vXLX/4yZhRS7++TSZ4rhtuqU045Jd6LEldffXVMAgAAyKfhg2qR9yOVxFVXXRWTaJMee+yx8847r1u3bmuvvXZ8T+TT8AG0MA0frUv2JnwnnnhirC3k/fffT/eTp1JZW3r7vfQ1JF9s8jKeeuqpGFts5MiRS93PuN6Mb8yYMV/84heT0eQc7I9//ONbb70VA0uMHz8+2TDdQ0LGRykNHwBQQYcddlicqmZss802H3/8ccwoZNCgQbGvjD//+c8x3FbtuOOO8V6UeOaZZ2ISAABAPg0fVIt6f6SSevrpp2MSK7pJkyadcMIJvXv33nPPPbfaaqv111+/ffv28X1Q15prrhl/qkvDB9DCNHy0LsMyN+F7//33Y21RJ554YuyrPhW5Fd+MGTPS2++l9V7eC3jsscfWWmut9HWmlsr4at+obbbZZqkEsNbvfve7vfbaK52WasyvJGOFpOEDACpogw02iPPUjD/96U8xXNT3v//92FfGE088EcNt0oIFC1ZZZZV4L+qqqamJSQAAAMuk4YNq0alTp7isr+s73/lOzKANWMavVE6tueaaBx100DXXXJP9B/gsDR9AC9Pw0Ypkb8J3wgknxNpGeO+999K95WnhW9O9++672223XfK8yan1lClTYm2OO+64Y6WVVkpfZ+r8889Ph2pPybp167ZgwYJ05VKSNzCdk/Wzn/0shmExDR8AUCkvv/xynKRmdO7cOYaLSk65Y18ZHTp0iOG26vbbb4/3okTv3r1jEgAAwDJp+KAq1PsjlVSfPn1iEm1AXsP31a9+9fDDD58wYcKnn36aztTwAVQJDR+tSPb84d133421jVNvylarhW/F161bt+RJkxOn+++/P1YtU9++fdPXmVprrbXmzp2brO/atWvycLXVVnv00UfTmUs55JBD0k2WstTN/EDDBwBUytVXXx0nqRnJCXAMF3XnnXfGvjK6d+8ew23V0KFD470oMXr06JgEAACwTBo+qAr1/kgldeWVV8Yk2oBJkyb99Kc/Peqoo375y19eddVVt99++1NPPfXWW2/FcIaGD6BKaPhoLbI34Rs0aFCsbbR678OR1WK34uvTp0/ydO3bt7/11ltj1fIkp1vpi6zVv3//2rOss88+O+bV9cgjj6QTSu25554xCRbT8AEAlVLvf3bS+J6s3p9JnnfeeTHcVu20007xXpR47rnnYhIAAMAyafigKuTdySMxderUmAQZGj6AKqHho7XInjz885//jLVNYdCgQbHf+rTMrfgGDx6cPl2DksHXX3893arUjjvuGJNKXH755TGpxNChQ2MSLKbhAwAqZb311ouT1IzGn5nvuuuusa+MiRMnxnCb9MEHH6y66qrxXtRVU1MTkwAAAJZHwwdVod4fqSQ23XTTmAF1afgAqoSGj1YhexO+gQMHxtom8s9//jPdc54GdXUFjBs3Ln2ibbbZ5uOPP4615enSpUu67VLGjh0bM0r06NEjJpW48cYbYxIspuEDACrixRdfjDPUjOTUN4aLmjlz5he/+MXY3RJrrLHGe++9FzPapFtvvTXeixK9e/eOSQAAAMuj4YPKq/dHKqnDDz88JkFdGj6AKqHho1XInjnMnz8/1jadgQMHxt7r06y34vvkk0/++7//O32iW265JdaWbZNNNkm3zerUqdPChQtjRom99tor5tW13377xQxYQsMHAFTElVdeGSepGY3/j3muvvrq2FeG0+BTTz013osSjf/lxQAAQNuh4YPKq/dHKqlRo0bFJKhLwwdQJTR8VL/sTfgGDBgQa5vU/Pnz0/3nab5b8SV/3dKnSP4yxqqGWGWVVdLNs5b9Lj388MMxr645c+bEDFhCwwcAVMSBBx4YJ6kZEyZMiOGievXqFfvKGDlyZAy3VT/60Y/ivSjxwgsvxCQAAIDl0fBB5dX7I5XUlClTYhLUpeEDqBIaPqpf9rRh3rx5sbapDRgwIJ6jPs10K74PPvigpqYm2f83v/nNAvt/5pln0pe3lIkTJ8aMHMlb+sMf/jBmt2uX/K1/5513YgwyNHwAQEXU/jc8WY28Ifd7773XsWPH2FfGyy+/HDPapPfff3+11VaL96Ku5FIlJgEAAJRBwweVV++PVBKbbLJJzIASGj6AKqHho8plb8J3/PHHx9pm8M4776TPkqc5bsU3evTodOdXXHFFrGqI2s2ztt566xhenvnz5z/yyCNvvvlmPIYSGj4AoOU9//zzcWqbscUWW8RwUTfddFPsK+PHP/5xDLdVt912W7wXJXr37h2TAAAAyqDhgwqr90cqKRf5LIOGD6BKaPioctlzhua+V9zxxx8fz1Sf5rgV3x577JHsefXVV3///fdjVUMcc8wx6WvL6t+/fwxDo2n4AICWN3LkyDi1zRg4cGAMF5WcJ8e+Mlz8nnbaafFelBg9enRMAgAAKIOGDypsxIgRcU1fYuTIkTEJSmj4AKqEho9qlr0J3//+7//G2mbz9ttvp8+Vp2lvxffRRx+tuuqqyW6PPvroWNVAW2yxRfrCsvRVNCENHwDQ8nr27BmnthkTJkyI4UIWLFiw4YYbxr4yJk+eHDPaqh//+MfxXpR46aWXYhIAAEAZNHxQYfX+SCU1derUmAQlNHwAVULDRzXLnjC8/fbbsbY5HXfccfF89WnaW/Elpz3pbovd32L+/Pnp5kvxL200IQ0fANDy1l577Ti1zUjOfmO4kGuuuSZ2lLHtttvGcFv13nvv/cd//Ee8HXXV1NTEJAAAgPJo+KDC6v2RSmLjjTeOGVAfDR9AldDwUbWyN+FLvlFjbTN766230mfM04S34vvggw8uu+yyMWPGxOMGmjBhQrymjOQdi2FoCho+AKCFPfvss3Fqm/Hd7343hovq0aNH7CvjnHPOieG26vbbb4/3okTv3r1jEgAAQHk0fFBJzzzzTFzTlzjssMNiEtRHwwdQJTR8VK3s2cLcuXNjbfNL/lLEs9anaW/F1xgDBw6M15TRs2fPGIamoOEDAFrY5ZdfHqe2Gf3794/hQp5++unYUV1+jczpp58e70WJYjcLBwAA2jINH1RSvT9SSY0YMSImQX00fABVQsNHdcrehK+R/2LXUHPnzk2fN08T3oqvMbbYYot4QRnJ+XkMQ1PQ8AEALWz//fePU9uM6667LoYL+cUvfhE7ythtt91iOMekSZNefPHFeLCC2nnnnePtKDF9+vSYVAkPPfTQqaeeevTRRyenoz/+8Y979uw5ZMiQ3/zmNxMmTHjllVdiUtO55ZZbkv0nT5c8UfKN0b1794EDB1544YXXX3/9448/HpMAAIDl0fBBJdX7I5XU008/HZOgPho+gCqh4aM6ZU8V3nzzzVjbUvr37x/PXZ9quBXfP//5z3g1dbmVCE1LwwcAtLCvf/3rcWqb8eqrr8ZwIZtvvnnsKOM3v/lNDNdn7ty5nTt3TqZNnjw5Vq1w3n333dVXXz19N5ZSU1MTk1rcHXfc0bNnz3gd9Ule8xFHHHHPPffEBo0we/bsc845Z5NNNold12e11VZLLk4//PDD2AYAAMin4YNK6tixY1zL1vXtb387ZkAODR9AldDwUYWyN+E75phjYm0LevPNN9Nnz1PxW/Hddttt8VIy1lxzzRiGJqLhAwBa0rRp0+LUNqORPdnNN98cO8pYddVVZ86cGTPqc9lll6UzG5kPVrM77rgj/RpL9e7dOya1rCFDhsQrKMMOO+zwu9/9LrZsuD/84Q8bbrhh7Gux9u3bb7bZZvvss09yuTdw4MDsjc+/973vjR07NrYEAAByaPigYp5++um4hC1x6KGHxiTIoeEDqBIaPqpQ9jxhzpw5sbZlHXPMMfEK6lPxW/Gdeuqp8VIyunXrFsPQRDR8AEBL+s1vfhOnthkHH3xwDBdy2GGHxY4y9t9//xjOsfvuuyfTktP+eLwi+vnPf56+G6VGjx4dk1pQjx494umXSN7/rl27rrvuuvG4PkceeeTs2bNjF+WZO3fu0UcfHdsv/k+hTj/99Mcee2zRokUxY4kZM2Ykb8VWW22VzrzssstiAAAAqI+GDyqm3h+ppK644oqYBDk0fABVQsNHtcnehO/oo4+OtS1uzpw56WvIU9lb8XXt2jVeR8aFF14Yw9BENHwAQEvad99949Q2Y+TIkTHccAsWLFhzzTVjRxljxoyJGfWpvR3gHnvsEatWRLvsskv6ZZaaMWNGTGop8cSL9evX74EHHpg7d26M/etfb731VrLm8MMPjxl1fec737nxxhtj6vJMmDDhu9/9brph+/btBw0a9OKLL8ZYjo8++qhbt27pJk3yO3wBAGBFpeGDiqn3RyqpadOmxSTIoeEDqBIaPqpN9iShoTdUaFrZezOUquyt+FZaaaV4HRmPPPJIDEMT0fABAC3pa1/7WpzaZjTmR81//OMfYy8Za6655vz582NGfWovSUaNGhWrGuL5559v+Qauof75z39+6UtfSr/MpTTylxcXsPPOO6dP3a9fv8mTJ8fa+vzlL38pvV1faujQoTEp3/jx42N2u3YHHHDAk08+GQNlOOuss5KtNtpoo5dffjlWAQAAdWn4oGK++tWvppe7S/nWt74VMyCfhg+gSmj4qCrZm/AdddRRsbZCZs+enb6SPJW6Fd8//vGPeAUZq666agxD09HwAQAtZsqUKXFqm7HmmmvGcCFHHHFE7CjjoIMOiuEcnTt3TqZ97Wtfe+utt2JVGV566aX+/fuvt9566bNsttlmAwYMWLBgQQxXmTvvvDN9naV69+4dk1rEeeedlz7vCSecEKuWJ+8Hy8ccc0zMqE824Ovbt2+sbYibbrop2XbFvjsjAAA0hoYPKqPeH6mkDjnkkJgE+TR8AFVCw0dVyZ4hVPAud7WOOuqoeDX1qdSt+C666KJ4BRm77LJLDEPT0fABAC3m0ksvjVPbjO7du8dwIVtuuWXsKGPChAkxXJ/a0uvII4+MVWWYNGlSx44d0w2zkrP0N954IyZVkzPOOCNeYonRo0fHpOb3xBNPfPnLX06etE+fPrGqPHk/Wz7vvPNiRl3ZgO+4446LtQ2XPu91110XjwEAgAwNH1RGvT9SSV1++eUxCfJp+ACqhIaP6pG9CV+/fv1ibUW98cYb6evJk5zSxNQWtNdee8XTZ/zqV7+KYWg6Gj4AoMXsvffecWqbcemll8ZwIbXXF7WWe2O/5PwnnXnbbbfFquV57733tthii3SrUl26dHn77bdjatXYdddd4/WVaMlfBJz+iDg5w4zHDXHttdemL3gp48ePjxlLTJw4McbatRsyZEisLapr167JFVk8AAAAMjR8UBk9evSIq94SzzzzTEyCfBo+gCqh4aN6ZE8PqudmFf369YvXVJ+K3IpvjTXWiKfPuO+++2IYmo6GDwBoMWuuuWac2mY8+eSTMVxI7CVjn332ibH63HHHHem0Bv0+2T/96U/pVnmq8PQpXlmJ9dZbL2a0iLR9vOuuu+JxAyUbpi97KdmM76OPPvrBD36Qri//1/Uuw5gxY5JdPfzww/EYAABYQsMHlVHvPxwmvvnNb8aM1uCWW24ZMGDAXnvt1bU169+//6hRo55//vn4qloJDR9AldDwUSWyN+Fr0G+tam6vv/56+qrytPCt+B555JF44rpiGJqUhg8AaBlPPvlknNdmrLXWWjFc1I9//OPY1xKnnnpqjNVn4403TuZ85Stfefrpp2NVGa644op053l23nnnmFodRo8eHa+sRIPixUZ6+OGHk2c86KCD4nEhZ555ZvrKl3LLLbekEwYNGpSu2X777RctWpSubIx33313tdVWGzBgQDwGAACW8A8VUAH1/kgldfDBB8ekqjd27Nh40SuErl27xhfWSmj4AKqEho8qkT03eO2112JtdTjiiCPildWnhW/Fl/z1jCfOKHwqOH/+/KeeemrBggXxGOrS8AEALeP//u//4tQ2o2fPnjFc1Nlnnx37WmLMmDExVqJbt27pnF/+8pexqjyXXnppuuEyvPDCCzG70iZPnvylL30pXlaJlmz4Bg4cmDzjgw8+GI+L2muvvdIXn7XNNtskQ+PHj08frrzyyvfff386v/GSb5Wvf/3rLqMAAGApGj6ogIsvvji99C01YsSImFT1JkyYEC96RTFt2rT42loDDR9AldDwUQ2yN+E74ogjYm3VeO2119LXlqclb8VX+y+LWYVfwJZbbplsfsEFF8RjqEvDBwC0jO7du6dntlmXXnppDBd17733xr6WuPPOO2Osrptvvjmd8L3vfa+hbdbkyZPTbZfhxhtvjNkVsnDhwr///e/9+vWLF5Sjpqbmqquuim2a2WabbbbHHnvEg8b5z//8z/gCMvr27Rt/atfuwgsvjKlNYdy4cck+G3SzRgAAaAs0fFAB9f7DYeq5556LSa3BwQcfHK+79Wv8f5bawjR8AFVCw0c1yJ4YvPrqq7G2mmT/+adUS96Kb+21145nzSh2BnXdddelm48bNy5WQV0aPgCgZXTs2DE9Nc165JFHYrio9957b/3114/dLTZy5MgYy6i9W9t666336KOPxtqGSP/bmGUYPnx4TG0eyRVBYuzYseecc05yeZV19NFHb7PNNqusskq8lPJ07do1tq8r2f/vf//7O+64I564Eb7whS8cddRR8aBxkv+j43XX54ADDoh5TeTZZ59NdnvzzTfHYwAAYDENH1TAV77ylfTqdykbbbRRzGg95syZM2bMmPgJROs0atSo2267Lb6e1iN55fF9U1exf4EGoDANHxWXvQlf3759Y22VefXVV9NXmCc5t4mpzemBBx6I56srhhuo9ndOzZgxI1ZBXRo+AKAFvPTSS+l5adb6668fw40zfPjw2ONiyelNDCzxs5/9LB1affXVJ06cGGsbaOTIkelO8pxyyikxtRkMHjw4nqYFde3aNZ6+kBdeeCHZyZlnnhmPG23SpEnpC1tKhw4dpk+fHpOayMKFC5M9X3TRRfEYAABYTMMHLe2xxx5Lr35LHXTQQTEJlkfDB1AlNHxUXPasYObMmbG2+vTp0ydeZX0K34rv/fffnzZtWjxYngsvvDCeL2PjjTeO4YZ4+OGH0807d+4cq6CEhg8AaAGvvfZaemqaNXDgwBhutOSUJna62O677z569Ojzzz+/W7dutf81UceOHf/0pz/FBoUcd9xx6a6yDjrooPR6p3fv3jGvGXTt2jV9upaUvIfx9IX8+c9/TnbStCeWF1xwQfrasr7yla/EcJNae+21jz322HgAAAAspuGDllbvPxym6v1NBFAvDR9AldDwUVnZm/AdfvjhsbYqzZw5M32deRp6K74xY8bsvvvu6badO3cu5x8pd9ppp3R+Vrdu3WK4IQYMGJBu7u87y6DhAwBaRu2JcWrLLbeMgSZS+9ty63XUUUe98MILMbURkjP8Y445Jjlf2muvvZLz7TvvvDNZmf4UdJdddknnNIdJkyYlp21d8/3oRz/ac88999577169eiWXXUcffXTy8gYPHvzzn/986NChJ5xwwrHHHtu3b9+DDz543333TV7/zjvvHFvmuOKKK+K5izrvvPOSt+Wuu+6Kx00k+QIX/19ax09+8pMYbjrbbLPNbrvtFg8AAIDFNHzQ0pJr+Lj2LfH888/HJFgeDR9AldDwUVnZU4JXXnkl1larww8/PF5rfRp0K75679Kx7FtZ/P3vf495dQ0ePDhmlG3GjBlf//rXk22///3vf/rpp7EWSmj4AICWMWnSpO7du3fo0CE5Rx00aNBrr70WA00n2Wdy5tytW7eNN944eZZvfvObu+++e3Ja3uQZ2VLSS579998/HrPYlVdembwt48aNi8dN59vf/nay56U0+U85OnXqtO+++8YDAABgMQ0ftLTVV189Lnzr+sY3vhEzoAwaPoAqoeGjgrI34WvW3y3VVF555ZX01eZJznBi6jJddNFFsUFdNTU17733XkwqceKJJ8a8ugrcAyN5t9Ntb7jhhlgF9dHwAQA0UvpT0ORkPh6z2MSJE5O35fzzz4/HTWf48OGLr3WWljxjzGi0f/7zn8kOBwwYEI8BAIDFNHzQoh599NH0irfUgQceGJOgDBo+gCqh4aOCsucDyTlAq1Bbv9WrnFvxffDBB+utt15sUCJ5iphX18yZM9dee+2YVNcdd9wRk8ozevTodEMn8CyXhg8AoJH233//5Nz7kksuiccs9vLLLydvy3HHHRePm0hy3bT4Wqce//7v/17+fdOX7f777092eN5558VjAABgMQ0ftKjzzz8/veItNWrUqJgEZdDwAVQJDR+Vkr0J34pkubfie+SRR2JqffLuw/ezn/0snbD++uunf6h18803x6QyzJgxo6amJtmqU6dOU6ZMibWQQ8MHANBIG220UXL6fdNNN8VjFvv0009XXXXVbt26xeMmsv322y++SGrXuXPn9A9ZO+ywQ8xrnKuuuirZ2zXXXBOPAQCAxTR80KL23HPP9HK31AsvvBCToAwaPoAqoeGjUvJOBlq75d6KL/33nnr94Ac/iEl1PfPMM6uvvno659prr03/UOvKK6+MeWXYb7/90q0aevc+2iYNHwBAYySXBunp9+TJk2MVS2y22WYdO3aMB03hF7/4RfpuJ6ZNmxZ/quuEE06I2Y1w5JFHJrvyc2wAAFiKhg9a1GqrrZZe6y5lww03jBlQHg0fQJXQ8FERK+pN+FLLvhXfZZddFvNKPPjggzGpruTvaTph+PDhH3zwQXLunT5MnXXWWTFveWoDvquvvjpWwTJp+AAAGmPChAnpGfibb74Zq1jiiCOOSN6Zu+66Kx43ziOPPNK+ffv03R4wYECyZtKkSenDpTToP4Iqlf4i3XXXXTceAwAAS2j4oOX84x//SK9ySx100EExCcqj4QOoEho+KmJFvQlfatm34rv11ltjXl155d9vf/vbdML222+/1JrU1772tXfeeScdWobagG/ZiSFkafgAABojvfD5z//8z3hMxoMPPpi8OUcddVQ8bpza3yC01VZbxap//evOO+9MVy7lgQceiBkNd8ABByR7OPbYY+MxAACwhIYPWs65556bXuKWauR/u0YbpOEDqBIaPlrein0TvtSyO7ktt9wy5i2W/KV7+OGHY6yu0047LSa1q3Pxu9Sp1A9/+MMYqM9dd92VPEU6s3fv3rEWyqDhAwBojB49eiQn4aeffno8pq4DDzywY8eOL730UjwuKnmH0+udxJ133hlrF/vDH/4QAxkbb7zx9ddfHzMa4rbbbkv34IfYAABQSsMHLWe33XZLL1BLvfjiizEJyqPhA6gSGj5aXt5pwIpknXXWWca98W666abVV189ndmrV696z3+mTp3au3fvdE779u1LI78jjzwyHU0ddNBBpTf/+8c//nHIIYfEDHfgo+E0fAAAhU2bNm2llVZKzsOfeeaZWEVd99xzT/L+9OjRIx4XMmjQoMWXO/9fvZc8F198cQzXNWrUqJhRnldeeWWLLbZINtx6661jFQAAkKHhg5azyiqrpBe3S6mpqYkZUDYNH0CV0PDR8jp37hwf/Cu0a665Jr7g+tx3330bbbRRTG3X7tvf/naPHj2OPvro5Bwp+TuYvU9ht27dYpsSQ4YMWXnllWNeu3ZrrrlmspPjFtt9992/+c1vxkC7dl27dnWWRQEaPgCAwpLT9eRUfOedd47H1Ce53knepYbmdLX69eu3+Irn/1vGf7P061//OibVdeGFF8aM5XnvvfeSq6p0qwcffDDWAgAAGRo+aCEPPfRQeoFa6uCDD45JUDYNH0CV0PDR8pLTgJ49e3ZdcfXq1Sv5Gt9///34gnNMnTo1+w9OpTbYYIMRI0bE7ByPPfZYcjYeG+RYxj9lwbJp+AAAipk7d276X+aMHDkyVlGfRx99dO21107eqPnz58eqsmUvhZZ71ZN3N75kw7fffjsm5ZgzZ07aGiZuvPHGWAsAANSl4YMWcvbZZ6fXqKWuuuqqmARlG6bhA6gOGj6orLlz5ybnRQMHDuzdu3f37t27du164oknjhkz5tFHH/3www9j0vLce++9v/3tb5P99O3bd9dddz300EOTs/fx48dPnjx53rx5MQkaTsMHAFDMhRde2K5duy9/+cuzZ8+OVeS4+eab058MT5gwIVYtz+9+97v//u//TrdKLDfgS51//vmxQV0bbbTRxRdf/Mknn8S8jI8//jj5v7KmpiadefLJJ8cAAABQQsMHLWSXXXZJL1NLvfTSSzEJyqbhA6gSGj4A8mj4AACK2Xzzzdu1azdw4MB4zDKNGDEi/eFw8o4t+4Z8N95444477phOTnTu3Pmaa66JsTLcddddXbp0iY3r+q//+q/jjz/++uuvnzdv3rPPPvuHP/wheZisjOF27XbffffYCwAAUB8NH7SQ9u3bx6VqXZ06dYoZrdD8+fPHjx9/0UUXDWvNki9h2rRp8SW1Hskrj++hujR8AC1MwwdAHg0fAEABxxxzTLt27bbYYosCvx+2zRo2bNhqq62Wvm99+vQ599xz77jjjtmzZ8+dO/e+++4bMWLE8ccfv/POOy/+EXI48cQT33nnndi+bHPmzDnkkENiF2UbMGBAbA8AAOTQ8EFLeOCBB+JStURyuRuTWpu777679h74K4CTTjopvrBWQsMHUCU0fADk0fABADTUOeeck/6cs/zfDEvq8ccf79mzZ/ruLVtymnrvvffGZoX84Q9/2H///dNqcNm23HLLMWPGxGYAAEA+DR+0hF/96ldxwVri6quvjkmtzcUXXxxfw4ritddei6+tNdDwAVQJDR8AeTR8AAANcu2116Y/5PRbdAsbO3bstttu+5WvfCV9J7M6d+48bNiwJvylNK+++urll1++++67r7POOvEcGVtuueXIkSNjKgAAsDwaPmgJP/7xj+OytcTLL78ck1qbGTNmxNewopg1a1Z8ba2Bhg+gSmj4AMij4QMAKN/999+flmd+i26TmDZt2vjx44cNG3bNNdck7+3MmTNjoHnMmDHjtttuO++8866++upJkyYlD2MAAAAoj4YPWsIXvvCFtK9aygYbbBAzWqebbrpp2LBh++23X9fW7KCDDjrllFNefPHF+KpaCQ0fQJXQ8AGQR8MHAFCmOXPmdOnSJf0Jp9+iCwAAtEEaPmh2f/vb39IfPZQ69NBDYxI0kIYPoEpo+ADIo+EDACjToEGD0h9vjhkzJlYBAAC0JRo+aHa//OUv058+lPKPNxSm4QOoEho+APJo+AAAypQ2fA8//HA8BgAAaGM0fNDsdtxxxzSuKjV9+vSYBA2k4QOoEho+APJo+AAAyvfBBx/EnwAAANoeDR80u3/7t3+LuqquTp06xQxoOA0fQJXQ8AGQR8MHAAAAAEA5NHzQvP76179GWlXisMMOi0nQcBo+gCpR/Q3fSy+9FH8CWNFNnTr19ddfjwdVQMMHAFVowZQpny9YEA8AAACgOmj4oHnlhVaJ0aNHxyRoOA0fQJWozobv5Zdfvuuuuy677LJBgwYlryfWAqzopk6duv/++59yyilXXXVVcmL86quvxkCFaPgAoAq9MXToK0cdNef88+ffdNOCp576TM8HAABAFdDwQfPaddddI60q8fzzz8ckaLi8hu/666+PGQC0iOpp+KZPn3733XdffvnlJ5xwQryOJWIGwIpu6tSpceBbbN999x0yZMiVV145ceLEivR8Gj4AqEJvDB364k9/Wru80q/f7HPPnXfjjR8+8cTnixbFJAAAAGhZGj5oRi+++OKXv/zlSKvq+tKXvhSToJD+/fvHN1NdF154YcwAoEVUtuF75ZVX7r333hEjRpx00knx3PWJ2QAruqUavqx99tln8ODBI0eOTA6br732WmzQzDR8AFCFlmr4sssrRxwx59e/nnfDDR8+/vjnH38cGwAAAEDz0/BBM9p9992jqyrRtWvXmAQN9+ijj3bs2DG+merafvvtYxIALaLlG76ZM2f+5S9/GTly5LK7vazYEmBFt4yGL6tHjx4nn3zyiBEj7rnnnjfeeCM2bgYaPgCoQsto+LLLK337zj777Hnjxi144onPP/kkNgYAAIDmoeGDpvfee+898MADhxxySERVOcaOHRsbQHnmz59/88035/0W3VrJhEmTJsU2ADSzlmn4Xn311YkTJ44aNar09+SWI/YCsKIrs+HL6t69+4knnnj55Zfffffds2fPjh01EQ0fAFShMhu+7PJKnz6zzzpr3vXXf/jkk//67LPYEQAAADQdDR8U98ADDwxbbMiQIUcffXTPnj132223jTfeOEKqMnRdbK+99jr44IP79++f7OfSSy+dMGHCnDlz4jloe9JvqtTJJ5981FFH9erVa4899thiiy3i+6Y87du3X3/99bfaaqvk2zL55ky+RZNvsNjvYvF8ADRO8zV8r7/++l//+terrrpq4MCBsd+iYo8AK7oCDV9Wt27dTjjhhMsuu+zee+9tkosyDR8AVKECDV92mdG796wzz3znuusWTJkSewQAAIBG0/BBQdOmTYtUqnnE09D2DFvebfaahIYPoKk0bcP3xhtv3HfffVdeeeXxxx8f+2oKsXeAFV0jG76lDBw4cPjw4RMnTpw7d248QQNp+ACgCjWy4csuMw47bNYvf/nO2LELn3469g4AAACF6ISgoGYNrXr16hVPQ9uj4QNoXRrf8M2aNetvf/vbyJEjjzvuuNi+qcUzAazomrbhyxowYMDw4cMnTZr09ttvx5OVQcMHAFWoCRu+7DL9kEPeGDZs3rhxC6ZNi2cCAACAsmn4oLi+ffvuuOOOu+yyyx577NGtW7d99tmnZ8+ehxxyyOGHH96vX79jjz12wIABJ5100imnnHL6YskfkocDBw5MhpIJffr0SSb36tVr33337d69+5577rnrrrvutNNOvXv3Hj9+fDwHbc+wYcOS76XBgwcnf2gOyXdgjx49kj/E8wHQOGnDl3yO/+hHP0p/S35i0KBBU5fpr3/965gxY5LTg+RMILZpThMA2ow48DWnAw88cOjQob/73e8eeOCBOKznSK4WY5uuXZM/a/j45O23F06darFYLJbKLs3U8GWXGQcfPOuMM+bfcMPCZ5+NzwAAAABYJg0fAAAUd+yxx+6www6dOnVaK2PTTTdNQ42sXXbZZbvttvvud79bU1MT8wBo5TbccMPkwJ4c3nfbbbc43Gess846MW+x5Pi/4447avjarLkjRy5VeFgsFoulLSzTDzxw1rBh8268cdHzz8dHAgAAAJTQ8AEAQHF77713pBkZtQ3frrvuuu2222622WZLRX4ArHhqamq6dOmy3Xbb7b777umnwFINX2LdddcdNWpUfITQlrTAPZ8sFovFUv3L9F693vjFL+bfdNPCF16ITwgAAABYTMMHAADF7bjjjtFlLNGxY8dOnTptttlmG2ywQawCoI3ZcMMNu3Tp8rWvfe3rX/96rFpi8ODB8RFCm/HJO+8s1XBYLBaLxfLyAQfMOvPM+RMmLHrppfjAAAAAoA3T8AEAQHFbbrnlWou7vTXWWONLX/rSqquuuvLKK6+++uppqAFAW7bKKqskHwqrrbbal7/85TXXXDPt+Y466qj4CKHNWDh16lLdhsVisVgs2eXlnj1nn3XW/Jtv/mj69PjwAAAAoI3R8AEAQHHuwwdAKffhI8t9+CwWi8VSurgPHwAAAFkaPgAAKG7vvfeOKCNj0003/eliu+6667bbbrvZZpt16tQpxgBYQdXU1HTp0mW77bbbfffd00+BddZZJ8aWWHfddUeNGhUfIbQlbwwdulS6YbFYLJY2uEzv1euNX/xi/k03LXzhhfiEAAAAgMU0fAAAUNyxxx67ww47LJXo1TZ8Wbvssst222333e9+t6amJuYB0MptuOGGyYE9ObzvtttucbjPWKrhS47/O+64429/+9v4CKGNmTty5FIlh8VisVjawjL9wANnDRs278YbFz3/fHwkAAAAQAkNHwAAFHfsscf+9Kc/3XPPPX/0ox91XWLQoEFTl+mvf/3rmDFjTj/99F69esU2zWkCQJsRB77mdOCBBw4dOvR3v/vdAw88EIf1HLvsskts07Vr8uc07NPwtWWfvP32wqlTLRaLxVLZpQXujTrj4INnnXHG/BtuWPjss/EZAAAAAMuk4QMAgOLShm8pv/71r2O4DLNmzfrb3/42cuTI4447LrZvavFMACu6qVOnxoGvqQ0YMGD48OGTJk16++2348nKsN9++8X2GRo+AKisZmr4ph9yyBvDhs0bN27BtGnxTAAAAFA2DR8AABTX+IYv64033rjvvvuuvPLK448/PvbVFGLvACu6pm34Bg4cOHz48IkTJ86dOzeeoIE0fABQhZqw4Ztx2GGzfvnLd8aOXfj007F3AAAAKETDBwAAxTVtw5f1+uuv//Wvf73qqqsGDhwY+y0q9giwomtkw9etW7cTTjjhsssuu/fee+fMmRM7bQQNHwBUoUY2fDN695515pnvXHfdgilTYo8AAADQaBo+AAAorvkavqxXX3114sSJo0aNOuGEE+I5GiL2ArCiK9Dwde/e/cQTT7z88svvvvvu2bNnx46aiIYPAKpQgYbvlT59Zp911rzrr//wySf/9dlnsSMAAABoOho+AAAormUavqyZM2f+5S9/GTly5EknnRTPtzyxJcCKrsyGr0ePHieffPKIESPuueeeN954IzZuBho+AKhCZTZ8r/TtO/vss+eNG7fgiSc+/+ST2BgAAACah4YPAACKa/mGL+uVV1659957R4wYseyeL2YDrOiW0fDts88+gwcPHjlyZHLYfO2112KDZqbhA4AqtIyG75Ujjpjz61/Pu+GGDx9//POPP44NAAAAoPlp+AAAoLjKNnxZ06dPv/vuuy+//PLS37cbMwBWdEs1fPvuu++QIUOuvPLKiRMnvvrqqzGpBWn4AKAKLdXwvdKv3+xzz513440fPvHE54sWxSQAAABoWRo+AAAornoavqyXX375rrvuuuyyywYNGpS8nlgLsKKbOnXq/vvvf8opp1x11VWTJk2qSLeXpeEDgCr0xtChrxx11Jzzz59/000LnnrqswULYgAAAAAqR8MHAADFVWfDl/XSSy/FnwBWdFOnTn399dfjQRXQ8AFAFVowZcrnuj0AAACqjIYPAACKq/6GD4BK0fABAAAAAFAODR8AABSn4QMgj4YPAAAAAIByaPgAAKA4DR8AeTR8AAAAAACUQ8MHAADFafgAyKPhAwAAAACgHBo+AAAoTsMHQB4NHwAAAAAA5dDwAQBAcRo+APJo+AAAAAAAKIeGDwAAitPwAZBHwwcAAAAAQDk0fAAAUJyGD4A8Gj4AAAAAAMqh4QMAgOI0fADk0fABAAAAAFAODR8AABSn4QMgj4YPAAAAAIByaPgAAKA4DR8AeTR8AAAAAACUQ8MHAADFafgAyKPhAwAAAACgHBo+AAAoTsMHQB4NHwAAAAAA5dDwAQBAcRo+APJo+AAAAAAAKIeGDwAAitPwAZBHwwcAAAAAQDk0fAAAUJyGD4A8Gj4AAAAAAMqh4QMAgOI0fADk0fABAAAAAFAODR8AABSn4QMgj4YPAAAAAIByaPgAAKA4DR8AeTR8AAAAAACUQ8MHAADFafgAyKPhAwAAAACgHBo+AAAoTsMHQB4NHwAAAAAA5dDwAQBAcRo+APJo+AAAAAAAKIeGDwAAitPwAZBHwwcAAAAAQDk0fAAAUJyGD4A8Gj4AAAAAAMqh4QMAgOI0fADk0fABAAAAAFAODR8AABSn4QMgj4YPAAAAAIByaPgAAKA4DR8AeTR8AAAAAACUQ8MHAADFafgAyKPhAwAAAACgHBo+AAAoTsMHQB4NHwAAAAAA5dDwAQBAcRo+APJo+AAAAAAAKIeGDwAAitPwAZBHwwcAAAAAQDk0fAAAUJyGD4A8Gj4AAAAAAMqh4QMAgOI0fADk0fABAAAAAFAODR8AABSn4QMgj4YPAAAAAIByaPgAAKA4DR8AeTR8AAAAAACUQ8MHAADFafgAyKPhAwAAAACgHBo+AAAoTsMHQB4NHwAAAAAA5dDwAQBAcRo+APJo+AAAAAAAKIeGDwAAitPwAZBHwwcAAAAAQDk0fAAAUJyGD4A8Gj4AAAAAAMqh4QMAgOI0fADk0fABAAAAAFAODR8AABSn4QMgj4YPAAAAAIByaPgAAKA4DR8AeTR8AAAAAACUQ8MHAADFafgAyKPhAwAAAACgHBo+AAAoTsMHQB4NHwAAAAAA5dDwAQBAcRo+APJo+AAAAAAAKIeGDwAAitPwAZBHwwcAAAAAQDk0fAAAUJyGD4A8Gj4AAAAAAMqh4QMAgOI0fADk0fABAAAAAFAODR8AABSn4QMgj4YPAAAAAIByaPgAAKA4DR8AeTR8AAAAAACUQ8MHAADFafgAyKPhAwAAAACgHBo+AAAoTsMHQB4NHwAAAAAA5dDwAQBAcRo+APJo+AAAAAAAKIeGDwAAitPwAZBHwwcAAAAAQDk0fAAAUJyGD4A8Gj4AAAAAAMqh4QMAgOI0fADk0fABAAAAAFAODR8AABSn4QMgj4YPAAAAAIByaPgAAKA4DR8AeTR8AAAAAACUQ8MHAADFafgAyKPhAwAAAACgHBo+AAAoTsMHQB4NHwAAAAAA5dDwAQBAcRo+APJo+AAAAAAAKIeGDwAAitPwAZBHwwcAAAAAQDk0fAAAUJyGD4A8Gj4AAAAAAMqh4QMAgOI0fADk0fABAAAAAFAODR8AABSn4QMgj4YPAAAAAIByaPgAAKA4DR8AeTR8AAAAAACUQ8MHAADFafgAyKPhAwAAAACgHBo+AAAoTsMHQB4NHwAAAAAA5dDwAQBAcRo+APJo+AAAAAAAKIeGDwAAitPwAZBHwwcAAAAAQDk0fAAAUJyGD4A8Gj4AAAAAAMqh4QMAgOI0fADk0fABAAAAAFAODR8AABSn4QMgj4YPAAAAAIByaPgAAKA4DR8AeTR8AAAAAACUQ8MHAADFafgAyKPhAwAAAACgHBo+AAAoTsMHQB4NHwAAAAAA5dDwAQBAcRo+APJo+AAAAAAAKIeGDwAAitPwAZBHwwcAAAAAQDk0fAAAUJyGD4A8Gj4AAAAAAMqh4QMAgOI0fADk0fABAAAAAFAODR8AABSn4QMgj4YPAAAAAIByaPgAAKA4DR8AeTR8AAAAAACUQ8MHAADFafgAyKPhAwAAAACgHBo+AAAoTsMHQB4NHwAAAAAA5dDwAQBAcRo+APJo+AAAAAAAKIeGDwAAitPwAZBHwwcAAAAAQDk0fAAAUJyGD4A8Gj4AAAAAAMqh4QMAgOI0fADk0fABAAAAAFAODR8AABSn4QMgj4YPAAAAAIByaPgAAKA4DR8AeTR8AAAAAACUQ8MHAADFafgAyKPhAwAAAACgHBo+AAAoTsMHQB4NHwAAAAAA5dDwAQBAcRo+APJo+AAAAAAAKIeGDwAAitPwAZBHwwcAAAAAQDk0fAAAUJyGD4A8Gj4AAAAAAMqh4QMAgOI0fADk0fABAAAAAFAODR8AABSn4QMgj4YPAAAAAIByaPgAAKA4DR8AeTR8AAAAAACUQ8MHAADFafgAyKPhAwAAAACgHBo+AAAoTsMHQB4NHwAAAAAA5dDwAQBAcRo+APJo+AAAAAAAKIeGDwAAitPwAZBHwwcAAAAAQDk0fAAAUJyGD4A8Gj4AAAAAAMqh4QMAgOI0fADk0fABAAAAAFAODR8AABSn4QMgj4YPAAAAAIByaPgAAKA4DR8AeTR8AAAAAACUQ8MHAADFafgAyKPhAwAAAACgHBo+AAAoTsMHQB4NHwAAAAAA5dDwAQBAcRo+APJo+AAAAAAAKIeGDwAAitPwAZBHwwcAAAAAQDk0fAAAUJyGD4A8Gj4AAAAAAMqh4QMAgOI0fADk0fABAAAAAFAODR8AABSn4QMgj4YPAAAAAIByaPgAAKA4DR8AeTR8AAAAAACUQ8MHAADFafgAyKPhAwAAAACgHBo+AAAoTsMHQB4NHwAAAAAA5dDwAQBAcRo+APJo+AAAAAAAKIeGDwAAitPwAZBHwwcAAAAAQDk0fAAAUJyGD4A8Gj4AAAAAAMqh4QMAgOI0fADk0fABAAAAAFAODR8AABSn4QMgj4YPAAAAAIByaPgAAKA4DR8AeTR8AAAAAACUQ8MHAADFafgAyKPhAwAAAACgHBo+AAAoTsMHQB4NHwAAAAAA5dDwAQBAcRo+APJo+AAAAAAAKIeGDwAAitPwAZBHwwcAAAAAQDk0fAAAUJyGD4A8Gj4AAAAAAMqh4QMAgOI0fADk0fABAAAAAFAODR8AABSn4QMgj4YPAAAAAIByaPgAAKA4DR8AeTR8AAAAAACUQ8MHAADFafgAyKPhAwAAAACgHBo+AAAoTsMHQB4NHwAAAAAA5dDwAQBAcRo+APJo+AAAAAAAKIeGDwAAitPwAZBHwwcAAAAAQDk0fAAAUJyGD4A8Gj4AAAAAAMqh4QMAgOI0fADk0fABAAAAAFAODR8AABSn4QMgj4YPAAAAAIByaPgAAKA4DR8AeTR8AAAAAACUQ8MHAADFafgAyKPhAwAAAACgHBo+AAAoTsMHQB4NHwAAAAAA5dDwAQBAcRo+APJo+AAAAAAAKIeGDwAAitPwAZBHwwcAAAAAQDk0fAAAUJyGD4A8Gj4AAAAAAMqh4QMAgOI0fADk0fABAAAAAFAODR8AABSn4QMgj4YPAAAAAIByaPgAAKA4DR8AeTR8AAAAAACUQ8MHAADFafgAyKPhAwAAAACgHBo+AAAoTsMHQB4NHwAAAAAA5dDwAQBAcRo+APJo+AAAAAAAKIeGDwAAitPwAZBHwwcAAAAAQDk0fAAAUJyGD4A8Gj4AAAAAAMqh4QMAgOI0fADk0fABAAAAAFAODR8AABSn4QMgj4YPAAAAAIByaPgAAKA4DR8AeTR8AAAAAACUQ8MHAADFafgAyKPhAwAAAACgHBo+AAAoTsMHQB4NHwAAAAAA5dDwAQBAcRo+APJo+AAAAAAAKIeGDwAAitPwAZBHwwcAAAAAQDk0fAAAUJyGD4A8Gj4AAAAAAMqh4QMAgOI0fADk0fABAAAAAFAODR8AABSn4YOsE0444fASo0ePjmFoYzR8UOvTTz+NvwN1jRs3LmYA0FbNnTs3rhzq+vvf/x4zAGirpkyZElcOdU2dOjVmAMAKRMMHAADFafggq3fv3vHXIGP48OExDG2Mhg9qafgAyDN79uz4VKhr4sSJMQOAtkrDB0CbouEDAIDiNHyQpeGDLA0f1NLwAZBHwwdAHg0fAG2Khg8AAIrT8EGWhg+yNHwAAMul4QMAAEho+AAAoDgNH2Rp+CBLwwcAsFwaPgAAgISGDwAAitPwQZaGD7I0fAAAy6XhAwAASGj4AACgOA0fZGn4IEvDBwCwXBo+AACAhIYPAACK0/BBloYPsjR8AADLpeEDAABIaPgAAKA4DR9kafggS8MHALBcGj4AAICEhg8AAIrT8EGWhg+yNHwAAMul4QMAAEho+AAAoDgNH2Rp+CBLwwcAsFwaPgAAgISGDwAAitPwQZaGD7I0fAAAy6XhAwAASGj4AACgOA0fZGn4IEvDBwCwXBo+AACAhIYPAACK0/BBloYPsjR8AADLpeEDAABIaPgAAKA4DR9kafggS8MHALBcGj4AAICEhg8AAIrT8EGWhg+yNHwAAMul4QMAAEho+AAAoDgNH2Rp+CBLwwcAsFwaPgAAgISGDwAAitPwQZaGD7I0fAAAy6XhAwAASGj4AACgOA0fZGn4IEvDBwCwXBo+AACAhIYPAACK0/BBloYPsjR8AADLpeEDAABIaPgAAKA4DR9kafggS8MHALBcGj4AAICEhg8AAIrT8EGWhg+yNHwAAMul4QMAAEho+AAAoDgNH2Rp+CBLwwcAsFwaPgAAgISGDwAAitPwQZaGD7I0fAAAy6XhAwAASGj4AACgOA0fZGn4IEvDBwCwXBo+AACAhIYPAACK0/BBloYPsjR8AADLpeEDAABIaPgAAKA4DR9kafggS8MHWXPr8+GHH8YwAG2Vhg+APB9//HFcOdSVrI8ZALAC0fABAEBxGj7I0vBBloYPan366afxd6CucePGxQwA2ioNHwB5pkyZEp8KdU2dOjVmAMAKRMMHAADFafggS8MHWRo+qKXhAyCPhg+APBo+ANoUDR8AABSn4YMsDR9kafigloYPgDwaPgDyaPgAaFM0fAAAUJyGD7I0fJCl4YNaGj4A8mj4AMij4QOgTdHwAQBAcRo+yLr66qsvLfGXv/wlhqGN0fBBLQ0fAHnefffduHKo69lnn40ZALRVGj4A2hQNHwAAFKfhAyCPhg9qafgAAICG0vAB0KZo+AAAoDgNHwB5NHxQS8MHAAA0lIYPgDZFwwcAAMVp+ADIo+GDWho+AACgoTR8ALQpGj4AAChOwwdAHg0f1NLwAQAADaXhA6BN0fABAEBxGj4A8mj4oJaGDwAAaCgNHwBtioYPAACK0/ABkEfDB7U0fAAAQENp+ABoUzR8AABQnIYPgDwaPqil4QMAABpKwwdAm6LhAwCA4jR8AOTR8EEtDR8AANBQGj4A2hQNHwAAFKfhAyCPhg9qafgAAICG0vAB0KZo+AAAoDgNHwB5NHxQS8MHAAA0lIYPgDZFwwcAAMVp+ADIo+GDWho+AACgoTR8ALQpGj4AAChOwwdAHg0f1NLwAQAADaXhA6BN0fABAEBxGj4A8mj4oJaGDwAAaCgNHwBtioYPAACK0/ABkEfDB7U0fAAAQENp+ABoUzR8AABQnIYPgDwaPqil4QMAABpKwwdAm6LhAwCA4jR8AOTR8EEtDR8AANBQGj4A2hQNHwAAFKfhAyCPhg9qafgAAICG0vAB0KZo+AAAoDgNHwB5NHxQS8MHAAA0lIYPgDZFwwcAAMVp+ADIo+GDWho+AACgoTR8ALQpGj4AAChOwwdAHg0f1NLwAQAADaXhA6BN0fABAEBxGj4A8mj4oJaGDwAAaCgNHwBtioYPAACK0/ABkEfDB7U0fAAAQENp+ABoUzR8AABQnIYPgDwaPqil4QMAABpKwwdAm6LhAwCA4jR8kHXffffdXWLatGkxDG2Mhg9qafgAyLNgwYK4cqhr1qxZMQOAtkrDB0CbouEDAIDiNHyQ1bt37/hrkDF8+PAYhjZGwwe1NHwA5Jk9e3Z8KtQ1ceLEmAFAW6XhA6BN0fABAEBxGj7I0vBBloYPamn4AMij4QMgj4YPgDZFwwcAAMVp+CBLwwdZGj6o9fnnn99Tn+nTp8cMANoqDR8AeebNmxdXDnUl62MGAKxANHwAAFCchg+yNHyQpeEDAFguDR8AAEBCwwcAAMVp+CBLwwdZGj4AgOXS8AEAACQ0fAAAUJyGD7I0fJCl4QMAWC4NHwAAQELDBwAAxWn4IEvDB1kaPgCA5dLwAQAAJDR8AABQnIYPsjR8kKXhAwBYLg0fAABAQsMHAADFafggS8MHWRo+AIDl0vABAAAkNHwAAFCchg+yNHyQpeEDAFguDR8AAEBCwwcAAMVp+CBLwwdZGj4AgOXS8AEAACQ0fAAAUJyGD7I0fJCl4QMAWC4NHwAAQELDBwAAxWn4IEvDB1kaPgCA5dLwAQAAJDR8AABQnIYPsjR8kKXhAwBYLg0fAABAQsMHAADFafggS8MHWRo+AIDl0vABAAAkNHwAAFCchg+yNHyQpeEDAFguDR8AAEBCwwcAAMVp+CBLwwdZGj4AgOXS8AEAACQ0fAAAUJyGD7I0fJCl4QMAWC4NHwAAQELDBwAAxWn4IEvDB1kaPgCA5dLwAQAAJDR8AABQnIYPsjR8kKXhAwBYLg0fAABAQsMHAADFafggS8MHWRo+AIDl0vABAAAkNHwAAFCchg+yNHyQpeEDAFguDR8AAEBCwwcAAMVp+CBLwwdZGj4AgOXS8AEAACQ0fAAAUJyGD7I0fJCl4QMAWC4NHwAAQELDBwBAK/Pcc89NmjTp4YcffvPNN2NV5Wj4IEvDB1kaPgCA5dLwAQAAJDR8AABUu7vvvvuSSy455phjtt1221VXXbVdxle+8pXvfe97++yzz6BBg26++ebYoAVp+CBLwwdZGj4AgOXS8AEAACQ0fAAAVK+//OUve++9d/R6Zdh5553Hjh0bG7cIDR9kafggS8MHtT777LNL6vPII4/EDADaKg0fAHlee+21uHKo6/XXX48ZALAC0fABAFCNHnrooUMOOSTSvMU233zzI4444sILL7zjjjteeeWVjz766NVXX3300UcvuOCCb3/72zFpse222+7qq6+OHTUzDR9kafhoSZMWiwdVScMHtT799NP4O1DXuHHjYgY0g1mzZk2ePDm5ZHj99deTb8JYC1QZDR8tL/mAeOihh5544onkA+Ljjz+OtUD1mTJlSnwq1DV16tSYAQArEA0fAABVZ9iwYZHjLdG7d+/58+fHcH1uuOGGn/zkJzF7sf322y/GmpOGD7I0fLSYc889tyWP9sVo+KCWho+WMW3atJNOOmnLLbdcZ5110o+JrI4dO3bp0mXfffe95pprZs+eHdsAlabho7m98MILw4YNO+KII3bbbbdNNtlklVVWiQ+GJTp06PCtb31r2223veCCC3xAQFXR8AHQpmj4AACoLksFfKuuuuqECRNibHn69OkTmy3WAmGHhg+yNHy0gAULFhxxxBFxoG/XrmvXrjFQfTR8UEvDR7N66623rrrqql133TU+G8qzyy67nHPOOY899ljsBagQDR/N59577+3Tp09ptLdsvXr1uvHGG92fD6qBho/qN3bs2Isvvvjuu++OxwCNoOEDAKCKLBXwrbfeejFQthNOOCE2Xqy5Mz4NH2Rp+Ghujz76aNeuXeMQv5iGD1oFDR/NZ8SIERtssEF8KjRc+/btBw8ePGvWrNgd0OI0fDSH5Kz7xz/+cRzrF9t000333XffAQMGnHfeeddcc82kSZMuueSS5Bp2ww03jBl1feMb33AxCxWn4aPKJZcS6adGTU1NrAJoBA0fAADVovRX6L7wwgsx1hD9+/eP7Rdr1oxPwwdZ77zzzlsl3n///RiGRpg0adKhhx4aR/YMDR+0Cho+mkm3bt3i82CxLbfcsk+fPueee+7NN9/83HPPJROeeeaZG2+88cwzzzzwwAPXXnvtmFeiU6dOF198cbpPoIUlnxFx5VDXokWLYgY0xNy5c5Njfhzf27VbZ511TjrppEceeSSGSyxcuPDaa6/de++9Y4O6Dj744JkzZ8ZUoMVp+KhmyUVHfFosFmsBGsGhBACAqjB+/Pi42F3izDPPjLEGeumllzp27Bh7Waxv374x1tQ0fADN6t13373lllvy/kUtoeGDVkHDR5N7+OGH27dvHx8Gi+u9kSNHxliOmTNnnnzyyauttlpsU6K57+ENQHO75557Ntlkk/So/h//8R8XXXTRBx98EGPLU/qDqdQ3v/lNZyxQKRo+qlby+ZJcg8RHxWIxANAIDiUAAFSFH/zgB3Gxu9hmm23WmHt3nXPOObGjJW699dYYa1IaPoAm9+67795xxx2nn376j370o1VXXTWO4zk0fNAqaPhoWnPmzImPgcW/G3G59V7W1KlTjz766Ni4hIwPoPU6//zz42jert3OO+/88MMPx0DZ8jK+xLBhw2IS0II0fFSt2t+iWysGABrBoQQAgMq76KKL4kp3iUsvvTTGClm0aNF//dd/xb4Wa6bIQ8MH0EhDhw498sgju3fvvu22237rW9/q0KFDHLjLo+GDVkHDRxNKvp022GCD9FNgjTXWePTRR2OgIUr/ya2WjA+gNbr77rvjON643u7yyy+PvZS45557YhLQUjR8VKc777wzPhsyYgygERxKAACosNdee2299daLK90lXnzxxRgu6qSTTop9LXHJJZfEWNPR8AE0UteuXeMwnWPzzTc/9dRTH3744Xhcl4YPWgUNH02od+/e8RnQrt0tt9wSaxuub9++sZcSMj6AVmfnnXdOj+GDBg2KVYX885//rC3Fl7LNNtssWLAg5gEtQsNHFfr444+33Xbb+GzIiGGARnAoAQCgwgYNGhSXuUvsvvvuMdYIf/rTn2J3S6y//vpvvfVWDDcRDR9AI+U1fJtuuunQoUOzd1eKgbo0fNAqaPhoKieffHJ8ALRr16BfoVuvPffcM/ZV4uqrr45JAFS94cOHp0fvQw89NFY1wpAhQ9K9lTrppJNiEtAiNHxUodNPPz0+FeqKYYBGcCgBAKCSnn322bjGzbjgggtiuBE++eSTVVddNfa4xJVXXhnDTUTDB9BIXbt27dWr14knnpgc/K+77rpJkyY9//zz7733XgxnxKG8Lg0ftAoaPprEXXfdFUf/xv2exFovvvhix44dY491bbzxxk3+3/8A0Bw+/PDD9ddfPw7fi2299db9+/f/+9//HjMaaMqUKbGj+iQfRjEPaH4aPqrNpEmT4vOgRMwAaASHEgAAKunss8+Oa9yM5Eo4hhtn1113jT0u8ZOf/CTGmoiGD6DFxKG8Lg0ftAoaPprEIYcckh78O3XqNHfu3FjbOP3790/3WWrw4MExCYAq9thjj8WBu67VV1+98E1V11133dhLibPPPjsmAc1Pw0e12XHHHePzoETMAGgEhxIAACpp6623jmvcJVZZZZUYa7R6A8Gm/RGPhg+gxcRxvC4NH7QKGj4a76mnnopDf7t25557bqxttAcffDB2Wp8HHngg5gFQra655po4atfnuuuui3kNUfrTqlr77LNPTAKan4aPqnLmmWfGh0F9YhJAIziUAABQMf/4xz/iAjejCWuM0aNHx04zkivtGG4KGj6AFhPH8bo0fNAqaPhovJNOOik98m+66aaffPJJrG0KyUdJuudS3bp1i0kAVKvTTjstjtr1OeKII2JeQ/To0SO2L1FTUxOTgOan4aN6PPjgg+3bt08+CP7nf/4n/URYSswDaASHEgAAKmbQoEFxgZtx8MEHx3Cj3XXXXbHTjK222iqGm4KGD6DFxHG8Lg0ftAoaPhppwYIFa621VnrkHzFixLBhw8aPHz9t2rQYbpxkV+meS6255prJd2/MA6Aq7bvvvnHUrs+GG24Y8xpi4MCBsX19Zs2aFfOAZqbho3rstttu6adAcjGS/mEpMQ+gERxKAAComHXXXTcucDOGDBkSw402ZcqU2Gld99xzT8xoNA0fQIuJg3hdGj5oFTR8NNLTTz8dx/26kk+ByZMnx6RGSO+oUa+HHnooJgFQlZKz7jhk16fYbfPq/Y9Oaz366KMxD2hmGj6qxHnnnZd+BJx22mkaPqD5OJQAAFAZkyZNiqvbui677LKY0Whvv/127LSuwYMHx4xG0/ABtJg4iNel4YNWQcNHI918881x3K/Pgw8+GPOKWm+99WJfJS699NKYBEBVGjJkSByy63PIIYfEvIZYdhe4cOHCmAc0Mw0f1eCxxx5bffXVk+P/Ntts89lnn2n4gObjUAIAQGVcccUVcXVb18033xwzmsJKK60U+83o3r17DDeahg+gxcRBvC4NH7QKGj4a6aKLLorjfn2S423MK+q//uu/Yl8lisUfALSYyZMnxyG7PpdffnnMa4gf/OAHsX2JLl26xCSg+Wn4qAbdunVLPwLuuuuu5KGGD2g+DiUAAFTGwIED4+q2rgceeCBmNIW111479pvxne98J4YbTcMH0GLiIF6Xhg9aBQ0fjZScdcdxP0fMK2q33XaLHZXYZJNNYhIA1apfv35x1K5rgw02iBkNtIz7sx566KExCWh+Gj4q7pJLLkmP/yeffHK6RsMHNB+HEgAAKiPv38kef/zxmNEUOnfuHPvN+OIXv9hUv/dEwwfQYuIgXpeGD1oFDR+NtIzGLjVt2rSYWsihhx4aO6rPggULYh4A1er888+Po/YSZ599dow10Icffhi7qM8555wT84Dmp+GjspLvtK9+9avJwX+LLbZIPh3SlRo+oPk4lAAAUBk1NTVxdVvXc889FzOawg9/+MPYb11PPfVUzGgcDR9Ai4kjeF0aPmgVNHw0Uv/+/eO4n+OFF16IqYWcdNJJsaP6NNW1AwDNatasWbfccsuwYcOS/03+HGsb7vnnn48PgPr86U9/inlA89PwUVn7779/evD/85//HKs0fEBzcigBAKACFi5cGJe2JV599dWY1BS6d+8e+61r/PjxMaNxNHwALSaO4HVp+KBV0PDRSKNGjYrjfn06duwY84padsPnH4kB2pRbb701PgBKbLPNNjEJaBEaPipoxIgR6cH/+OOPj1WLafiA5uNQAgBABTzxxBNxaVvirbfeiklNoW/fvrHfus4888yY0Tgnn3xy/Ogo45JLLolhAJpOHMHrquaG77DDDosPhoyxY8emo9CmaPhopMmTJ8dxvz7du3ePeUUdcsghsa/6LFy4MOYB0AYs4xesjxkzJiYBLULDR6W88MIL66yzTnLk33TTTefNmxdrF9PwAc3HoQQAgAoYO3ZsXNqW+PDDD2NSUxg8eHDst65DDjkkZjTODTfcED86ynjwwQdjGICmE0fwuqq54RsxYkR8MGQ08rc9Qiul4aPx+vXrF4f+ujp06PD888/HpKJ22WWX2F2Jb33rWzEJgDbgxRdfXHnlleMzoK6ddtopJgEtRcNHpRx88MHpwf+GG26IVUto+IDm41ACAEAF5F3oJmJGE8l7oh/+8Icxo9F+9atfxU+PFhsxYkQMANCk4gheVzU3fAsXLhw8eHB8PCx2/fXXxxi0MRo+Gm/GjBm9e/eOo/8SBxxwwK233hozGqFLly6xxxLJN2pMAqAN+NWvfhUfACX++Mc/xiSgpWj4qIjRo0enR/5+/frFqgwNH9B8HEoAAKiAE044IS5t61pllVViRhPJu6LefPPNY0ZT+Mtf/nLppZdefvnl//jHP2IVAE0tjuB1VXPDl7r99tv/7//+b9SoUVOmTIlV0PZo+Ggq99577+jRo88+++wrr7zy0UcfjbWNttZaa8XnSokBAwbEJADagLyqe999940ZQAvS8NHyZs6cueGGGyZH/m984xuzZs2KtRkaPqD5OJQAAFABRx55ZFza1tWhQ4eY0UTyrqiTK/CYAUArEUfwuqq/4QMSGj6qXHyo1Gf8+PExCYAV3Q033BBH/7p23333RYsWxSSgBWn4aHl9+/ZND/5/+MMfYlVdGj6g+TiUAABQAQcccEBc2ta11lprxYwmkndF3bFjx5gBQCsRR/C6NHzQKmj4qGa1vyqrVOfOnWMSAG3AzjvvHB8AGTvssMO8efNiBtCyNHy0sOuuuy49+B922GGxqoSGD2g+DiUAAFTAHnvsEZe2dXXq1ClmNJG8K+om/6W9QOKEE044vMTo0aNjGBonjuB1afigVdDwUc2Sj5L4UCmRXE3EJKDZzJ07N64c6vr73/8eM6BF1PsTpK222ur111+PGUCL0/DRkubMmbPJJpskB/911113+vTpsbaEhg9oPg4lAABUwPbbbx+XtnVtvPHGMaOJ5F1RJz7++OOYBDSR3r17xw9TM4YPHx7D0Dhx+K5LwwetgoaPqvXEE0/EJ0p9pk2bFvOAZjN79uz4VKhr4sSJMQOa33HHHReH/owtttjihRdeiBlAJWj4aEn9+/dPj/9XXXVVrKqPhg9oPg4lAABUwOabbx6XtnV16dIlZjSRZTR877zzTkwCmoiGj2YVh++6NHzQKnz22Wd96nPLLbfEDKiQIUOGxCdKif322y8mAc1Jw0dlPfXUU7169YpDf8bJJ5/87rvvxiSgQp599tm4cqjrueeeixnQRG688cb0+N+zZ89YlUPDBzQfhxIAACrgG9/4Rlza1rX11lvHjCayjIbvlVdeiUlAE9Hw0azi8F2Xhg+Awj788MOampr4RKnrC1/4wn333RfzgOak4aNSXn/99cGDB6+66qpx6F9ihx12uPvuu2MSAG3A/Pnz05sOfO1rX3vmmWdibQ4NH9B8HEoAAKiA5GI4Lm3r2mGHHWJGE1lGw+d3LkCT0/DRrOLwXZeGD4DCrrjiivg4KXHWWWfFJKCZafhobrNmzbrjjjvGjRt35ZVXnn/++SeffHLyDda5c+fSem/77be/+uqrYzMA2oxBgwalHwSXXXZZrMqn4QOaj0MJAAAVsPLKK8elbV0/+MEPYkYTWUbD9+CDD8YkoIlo+Ph/7N0JnBxlnfh/dmUXxHVlEUQOEYVFEXGRcwUWI5FTztVgAMVwyC0gIIeixp8/EJQ7gMD+EAQFQQERkEvIHzlGQEXAEAQ2nBIIN5gQIDD/Xvqb7FMz0+l+Zqpnuqfe71e99sVUPV01W6/JU10zH6vbKqbvIg0fAIPz0ksvfeQjH4nLSdFmm20Wg4D20/DRVr///e+XXnrpmN8b22STTS6++OJ4DQBVcvnll9evBdtuu22smi8NH9A+phIAAEbAwgsvHLe2RauttlqMKImGD4aTho+2ium7SMMHwOAcddRRcS0peuc733nHHXfEIKD9NHy01QMPPBDzezMLL7zwfvvt19PTE68EoAJmzZq11lpr1a4CtbuAO++8M9bOl4YPaB9TCQAAI2CppZaKW9uiD3/4wzGiJPNp+HyWLpROw0dbxfRdpOEDYBAeffTRRrckJ5xwQgwChoWGj3Z7/vnn77zzzslFF1544Q9+8IN99913iy22iAvAXIstttiee+55wQUXxOsBGL0OO+yw+uR/3HHHxapmNHxA+5hKAAAYASuvvHLc2ha9//3vjxElmU/D98gjj8QgoCQaPtoqpu8iDR8Ag/C1r30tLiRFu+22W4wAhouGjxF37bXXbrTRRnElSNR+Dh944IEYBMCoU5v/6xP+5ptvHqtaoOED2sdUAgDACFh33XXj1rboPe95T4woyXwavueeey4GASXR8NFWMX0XafgAyHXXXXctvPDCcSFJuKbAiNDw0SFqt67ve9/74pIw1yKLLHLyySfHCABGkTlz5qy//vq1qf4f/uEfsj5IXcMHtI+pBACAEbD55pvHrW3RO9/5zhhRkvk0fLW79BgElETDR1vF9F2ktwAg1w477BBXkYQLCowUDR+d44477oirQtFmm20WIwAYLb797W/XJ/kjjzwyVrVGwwe0j6kEAIARsOOOO8atbdGCCy4YI0rS6I56kUUWiRFAeTR8tFXM4EWSCwCyHHbYYXEJSbiawAjS8NFRTjnllLg29BMjAOh+N95449/93d/V5vYNN9wwVrVMwwe0j6kEAIARsM8++8StbT8xoiSN7qjf+973xgigPBo+2ipm8CLVBQCtO+200+L6kXApgZGl4aPTNPrfndZ+LGMEAF1u7Nix9bl98uTJsaplGj6gfUwlAACMgG984xtxa9tPjChJozvqf/3Xf40RQHk0fLRVzOBFwgsAWnTFFVfExSMxiAdvAOXS8NFppk2btthii8V1oujkk0+OQQB0rSOPPLI+q3/rW9+KVTk0fED7mEoAABgBw/bRJAceeGDst2j11VePEUB5NHy0VczgRRo+AFpx9913L7fccnHxmOtzn/tcbAZGjoaPDtToUXw1l156aQwCoAv97ne/W3jhhWvz+Xrrrffqq6/G2hwaPqB9TCUAAIyASy+9NG5t+4kRJdl5551jv0WaD2gHDR9tFTN4kfkcgKZeeOGF9ddfP64cc335y1+OzcCI0vDRgX7yk5/E1aKfRRdd9I477ohxAHSbzTffvD6fX3311bEqk4YPaB9TCQAAI+COO+6IW9t+YkRJtt5669hv0Z577hkjgPJo+GirmMGLNHwANDV+/Pi4bMx16KGHxjZgpGn46EyNPk63Zuutt45BAHSVY489tj6TH3LIIbEqn4YPaB9TCQAAI+CJJ56IW9t+YkRJNthgg9hv0QknnBAjgPJo+GirmMGLNHwAzN/ee+8d14y53AtAR9Hw0ZkafbBD3W9+85sYB0CXuPPOO//5n/+5NoevueaaL774YqzNp+ED2sdUAgDAyPj7v//7uLstevXVV2NEGT760Y/GfouuuuqqGAGUR8NHW8UMXqThA2A+vvGNb8QFY65LLrkktgGdQcNHZ5o8eXJcOQay4447xjgAusS2225bn8N/+ctfxqpB0fAB7WMqAQBgZCy33HJxd1v00EMPxYgyLL300rHfonKPAtRp+GirmMGLNHwANHLcccfF1WKuP/7xj7EN6BgaPjrTn//857h4NPC73/0uhgLQ8SZNmlSfvffbb79YNVgaPqB9TCUAAIyMT3ziE3F3W3TrrbfGiDK8/e1vj/0mFl544dgMlErDR1vFJF6k4QNgQD/60Y/iUjHXs88+G9uATqLhozM9+eSTcf1o4LDDDouhAHS2KVOmLLHEErWp+6Mf/eiMGTNi7WBp+ID2MZUAADAyDj744Li7LfrFL34RI4bs5Zdfjp0WrbbaajECKJWGj7aKSbxIwwdAf7/85S/jOvGW973vfbEB6DwaPjrTG2+8EVeRBr7whS/EUAA62/jx4+tT989+9rNYNQQaPqB9TCUAAIyMq6++Ou5ui0rMfR588MHYaVHtpj1GAKXS8NFWMYkXafgA6KOnp2exxRaL68QCC6y//vqxAehIGj6G7owzzth999232mqrI4888tJLL421Q5ZeTfpzJwLQFc4888z6vF27UsSqodHwAe1jKgEAYGS8+OKLcXdbdOihh8aIIbvllltip0W12+wYAZRKw0dbxSRe5C9nAKSefPLJFVZYIS4SLhPQDTR8DMUZZ5yxxhprxKQ/10orrXT77bfHiCGo7Sf2OJDa5SbGAdCpHnzwwWWXXbY2af/rv/7ro48+GmuHRsMHtI+pBACAEbPxxhvHDW5i3LhxsXnILrnkkthp0ZQpU2IEUCoNH20Vk3iROAOA1FprrRVXiAUW2GqrrWLtoBxyyCG1q0zN/fffH6uANtDwMWiNfu1TF4OGYL311ot9DWShhRaKcQB0qp122qk+aZ9zzjmxasg0fED7mEoAABgxA97urrHGGrF5yH74wx/GThOrrLJKbAbKpuGjrWIeL9LwATBP+r8R2mmnnWLtYG2zzTb1XcXXQHto+BicmTNnpg9e7e/ggw+OoYP1b//2b7GvgSyzzDIxDoBOFVN2B/DRQEAr/AICAIARc/XVV8ctbOJf/uVfYvOQDdgIuluG9tHw0VYxjxdp+KBbzBjIzJkzYzMM2fjx4+PasMAC++23X6wdgpVXXrm2qxJvT4ABafgYnD/+8Y/1Ob+R5ZdfPoYO1lJLLRX7Gog7ERgGr732Wtw5FNXWxwiYr5iyO4C/SgCt0PABADCS1l133biLTUybNi02D836668fe0zcfPPNsRkom4aPtop5vMhfzqArzJkzJ64KRRdeeGGMgKHZe++948KwwALf+ta3Yu0QzJo1621ve1ttbxtvvHGsAtpDw8fgXHDBBfVpfz4effTRGD0o9QtBI7vttluMA9rm7rvvjqtC0T333BMjYL5iyu4AGj6gFRo+AABG0qRJk+IuNnHmmWfG5iF44oknYncJH6QLbaXho61iKi/S8EFX0PDRVt/+9rfjqrDAAscff3ysHZq77rqrvsMjjjgiVgHtoeFjcAb87IU+/vCHP8TofM8880zspYEjjzwyhgJto+FjiCa3QVwG+onNjcX3BNCYhg8AgJH0zDPP9P9oks9//vOxeQjOPffc2F1i//33j81AG2j4aKuYyos0fNAVNHy0zznnnBOXhAUWOPXUU2PtkM27m7jssstiFdAeGj4G5yc/+Ul9om5koYUWGsqnbU6ZMiV21EDtG4ihQNto+Og0kxs3fDECYAhMJQAAjLADDzwwbnPnWnzxxWfPnh2bB2u77baL3c21/PLLP/TQQ7EZaAMNH20Vs3mRhg+6goaPNrnxxhvjerDAAmeccUasLcMee+xR362/EEO7afgYnJtuuqk+UTey7rrrxtBBmU+lUff73/8+hgJto+Gj02j4gLYylQAAMMLuvPPORRddNO505xri4y7uv//+BRdcMPY119lnnx2bgfY466yzTu7n+uuvj80wNDGbF2n4oCto+GiHRx99NC4GCyzwox/9KNaW5KMf/Wh9z7NmzYpVQHu8+OKLcedQNHXq1BgBA3nkkUfqE3UjF1xwQQwdlEMOOSR2NJDdd989xgHtpOGj02j4gLYylQAAMPJOOOGEuNOda4hNxtFHHx07mmvChAmxDYDuFBN6kYYPuoKGj3ZYbLHF6teCc889N1aV5PLLL6/vebnllotVAHSeVVddtT5d9zdx4sQYNFgf+9jHYl8D8RA+GB4aPjqNhg9oK1MJAAAdYZtttomb3blOPfXU2JbpoYce6vNrXJ+iCzAKxJxepOGDrqDho3QrrLBC/UJw/vnnx6qSvPTSS7UfzvrOP/e5z8VaADrP9773vfp0veCCC7773e+uXRpWX331bbfd9sEHH4wRg/XnP/+5vucBeQgfDBsNH51Gwwe0lakEAICOMGXKlFVWWSXud9+ywgorzJgxIzbn2HjjjWMXc/kUXYBRIOb0ojXWWCM2Ax1Mw0e51l577fpVYGJ59t133/Hjx2+00UYLL7xwfec1tfVxSAA6zyOPPPKud72rPmPvsMMOsbYMxx9/fH23A/IQPhg2Gj46jYYPaCtTCQAAnaJ/xjdu3LjY1rIJEybEi+f6wQ9+ENsA6GYxrRctssgisRnoYBo+SjR+/Pi4BrTfeeedF0cFoCPttddeMWUvsMA3v/nNWDtkm266aey0n69//esxCGg/DR+dRsMHtJWpBACADjLEjO/KK6+Ml8117rnnxjYAutmMGTNiZu/nj3/8YwwCOpWGj7IcfvjhMfsPi1tuuSUODEBH+tvf/vaxj30sZu0FFjj99NNjwxDM51rjU3RhmGn46DQaPqCtTCUAAHSWATO+Vj6m5Mgjj4wXvGXJJZe88sorYxsAXW7ixIkxv/ez5557xiCgU2n4KMWZZ54ZU/9wmT59ehwbgE41bdq0mLXfMsR3F7/97W9jR/1su+22MQgYLho+Oo2GD2grUwkAAB1nypQpW2+9ddz7zrX77rs3KvluuummsWPHxri3rLnmmrfddltsBqBrPfDAAz/60Y/GjBkT83sD87lGAJ1Aw8fQXXfddTHpD5ePfvSjcWwAOtvvfve7mLvfsv3229fWxLZMiy66aOylaP3113/55ZdjEDBcNHx0mvk0fI8//ngMAhgsDR8AAB3q2muvHT9+fNwBz7XJJpvssMMO++2336GHHjpu3LhPfOITyy67bGx7y2abbXbBBRfELgDoBmMa+OAHPxiTe2sWX3zxD33oQ+utt168vigOBowEDR9DNGXKlJjrh9E222wThweg4z311FPve9/7YgZ/y/777z9t2rTY3IK//vWvtbuJeHHRxz/+8YcffjjGAcNIw0enmU/D55kCwNBp+AAA6Gg333zzLrvsEvfB87XTTjtdd9118TIAukfM420WBwNGgoaPIZrPJ6q3z4EHHhiHB6BL7L///jGJv+U973nPrrvu+v/+3/978MEHY0QDjT6ufbHFFjvyyCNfeeWVGAcMLw0fnWY+Nyb77LNPDAIYLL/CBgCgCzz99NO//e1vzzjjjAMOOGCTTTZ5//vf/453vGOdddbZbbfdTjzxxOuvv/6pp56KoQB0m/hlZ5vFwYCRoOFjiD772c/GbD6MTjnllDg8AN3jhBNOiHm8aJVVVtlzzz0vueSSu++++5lnnnn55ZdvuummSZMm7bvvvhtttFEMKtp9993vu+++2C8wEjR8dIiXXnrpoosu+uIXvxhXiAZq16ApU6bEawDy+RU2AAAAMJIm9nPUUUdNmjTp7LPP/sUvfnHNNddMbkFtWG1w7SW1F9ZeHjtKxMGAkaDhY4hiKh9eV111VRwegK5y5ZVX7rHHHksttVQkFZne/va3jx8/vnZ/EbsDRo6Gj+E3efLkMf3EFaI1q6yySrwsUdttHACgMQ0fAAAAANBGGj4AYPhddNFF48aN+4d/+IeoKpr51Kc+deqpp86YMSNeD4w0DR/Db/LkyXFVKJWGD2iFhg8AAAAAaCMNHwAwgq6++uozzjjj61//+he+8IX/+I//eP/737/AAgussMIKG2+88Z577vmDH/zgkksuke5BB9LwMfw0fMAI0vABAAAAAG2k4QMAAHJp+Bh+kydPnjjXd7/73RNPPPFHP/rRz3/+82uuuaa2qanasNrg2ktqL6y9PHY0cWJtUxwAoDENHwAAAADQRho+AAAgl4YPgErR8AEAwCD95je/Ofvss7/73e/uueeeW2655TbbbHPAAQccd9xxP/vZz+64444YBEAl1a4RP/rRjyZOnLjrrrtusskm22233cEHH3zCCSdceOGFrhFUkIYP5qn9c7jyyitPP/30I444Yuedd954443Hjx9/2GGHnXLKKZdeeumjjz4a4wContmzZ19xxRWnnXZa7brwhS98YcyYMTvttFPtelFbU7tGPPbYYzEOKkPDB/PUrgKXXHLJSSed9LWvfW3HHXesXSMmTJgwceLEM888s3Z/UbuCxDigm2n4AAAg209/+tONNtpogfkaN27cZZddFi8AoBpmzpx55plnbrDBBnExaOCLX/ziDTfcEK+BCtDwQc1zzz133HHHrbrqqnExGMiiiy6677779vT0xGsAqIZp06Z997vf/dCHPhTXg4EsscQSX/va1+699954DVSAhg9qajN/bf6vXQXiejCQ2hWkdh2pXU3iNUB30vABAECG8847b5111ok74xast95655xzTrwYgFFt4sSJK664YlwAWrD11lsr+agIDR/UrhHvf//74wLQgv/8z/+88cYb48UAjF4vvvjiXnvt9c53vjMuAM0stNBCe+yxx8MPPxyvh1FNw0fFPf3007U5vzbzxzWgmdrVpHZNmTFjRrwe6DYaPgAAaNURRxwRd8OZdt9999gFAKPRnDlzdtttt5j0Mx1++OGxFxi9NHxU2ZNPPjl+/PiY9HMsuOCC3/ve92IvAIxG995777rrrhvzfo5ll132vPPOi73A6KXho8puvvnmj370ozHv51hxxRUnT54cewG6ioYPAACa++tf//qBD3wgboIHpXa/HfsCYHR5+OGH/+Vf/iWm+0FZc801Y18wSmn4qKyrrroq5vrB2mGHHWJfAIwul1xyScz1g+V/Msqop+Gjso488siY6wfr1FNPjX0B3UPDBwAATdx3331x4zs0SyyxROwRgNHCNQJaoeGjmiZNmhSz/NBMmDAh9gjAaOEaAa3Q8FFNW2+9dczyQ3PRRRfFHoEuoeEDAIAmFl988bjrHbK99947dgrAqOAaAa3Q8FFB1157bczvZTj//PNjvwB0P9cIaJGGjwo65JBDYn4vQ+0fUewX6AYaPgAAmJ/NN9887ndLMmnSpNg1AF3ONQJapOGjah599NFlllkmJveSTJ48OfYOQDdzjYDWafiomp/97Gcxs5dklVVWeeaZZ2LvQMfT8AEAQEMTJ06Mm91SXXHFFXEAGF1uvPHGa/uZMmVKbIbRpU3XiCuvvDIOAKOIho+q2XbbbWNaL89KK6305JNPxgFgFJk1a1bcORQ98cQTMQJGlzZdI2bMmBEHgFFEw0elPPPMMx/84AdjZi/PZz/72TgA0PE0fAAA0NAaa6wRd7qlGj9+fBwARpcJEybEL1MTnivGqDRz5swVV1wxpvVS1f4dxTFgFNHwUSn33ntvzOllO+644+IYMIpMnz49rgpFN9xwQ4yAUeTGG2+MOb1sp556ahwDRhENH5Vy9tlnx5xettrVJ44BdDYNHwAADGzy5Mlxj9sGf/zjH+MwMIpo+KiOM888Myb0sr3jHe/429/+FoeB0ULDR6Ucc8wxMaeX7eMf/3gcA0YRDR+V8uUvfznm9LKNGTMmjgGjiIaPSqn9bMecXrba1SeOAXQ2DR8AAAxs9913j3vcNjjwwAPjMDCKaPiojg022CAm9DY488wz4zAwWrz55pvXDWTatGkxAkaRlVZaKSb0NrjgggviMDBaaPiojgceeGCRRRaJCb0N7r///jgSjBbPPfdc3DkU1dbHCBgtHnrooZjN26B29aldg+JIQAfT8AHkeQOAksTE2sHiBrc9llxyyVmzZsW5gNHiS1/60hb9nHzyybEZRovrrrsuZvP2+OQnPxlHAqDb3HDDDTGbt8fmm28eR4LR4q9//WvcORRdf/31MQJGi29/+9sxm7dHbf9xJAC6TbuvERMnTow/e3SkZ57pfeCB3ldfjS+hsjR8AC2ZPn360Ucf/dnPfjb+d6BU2L//+7+vuOKKSy+99Ac+8IHVVlst1gL5ttlmm+985zsPPvhgTLUd5pFHHom727bZcMMN41zAaPG+971vyX4++tGPxmYYLT7+8Y/HVN4eiyyySBwJgG7T7mvEO97xjjgSjBYbb7xx3DkUfeITn4gRMFost9xyMZu3R23/cSQAuk27rxG77LJL/OWjw7zySu/RR/duueX/LNtt13vbbbEeqknDB9Dcyy+/vNtuu8V7KKptzJgx8XvEudZee+3YBgzK5z//+ccffzwm3E5y0003xd1t26y77rpxFmC00PBRER/+8IdjKm+Pv/u7v4sjAdBt2n2N+Pu///s4EowWGj6q4z3veU/M5u2xxBJLxJEA6Da1OTxm8/b49Kc/HX/56CQzZ/YecEAEfPOWW2+NrVBBGj6A5n7605/GGygqb4UVVojfIyY22mij2AwMyimnnBITbiepTf5xd9s2H//4x+MUwGih4aMi3v/+98dU3jbeYQJ0qXY/P6PGNYJRRsNHdfzTP/1TTOXt4VmtAN2rNofHbN4eK620Uvzlo2PMnNn71a/2Dfhqy/jxMQAqSMMH0Nx3vvOdeANF5S299NL1XyMuvvji9f+o8Sg+GKL9998/JtxO8r3vfS/ubttm5ZVXjlMAo4WGj4po9/MzatZff/04GABdpd3Pz6hxjWCU0fBRHX//938fU3l7eFYrQPdq9zVi4YUXjr98dIa//W2AJ/DNWx55JIZB1Wj4AJo7/vjj4w0UlRe/RFxyyUUXXTT+a8klV1999dgMDMo3v/nNmHA7yWmnnRZ3t22z6qqrximA0ULDR0Uss8wyMZW3zac+9ak4GABdZemll46pvG3GjBkTB4NRQcNHdSy00EIxlbdHbf9xJAC6TbuvEbU3V/GXjw4w4Efozlu22qr3lVdiJFSNhg+gudtvvz3eQFF59d8h1vzTP/3TvEfxafhgiK655pqYcDvJFVdcEXe3bbPWWmvFKYDRQsNHRay44ooxlbfN5ptvHgcDoKussMIKMZW3zWabbRYHg1FBw0d1/Mu//EtM5e2x6KKLxpEA6Da1OTxm8/ZYa6214i8fI23+AV9tOe20GAkVpOEDaMn5558f76Gotvgl4pJLLrzwwvMexafhg6E488wzY6rtMHfffXfc3bbNBhtsEGcBRgsNHxWx6qqrxlTeHv/4j/8YRwKg29Te+cRs3h6escToo+GjOtr9rNallloqjgRAt6nN4TGbt8dnP/vZ+MvHiJo5s/erX+0b7aXLXnt5CB+VpuEDaNW0adMuvfTSn1Fta7xl1VVXfde73rXMMsvUv/zKV74Sm4EcF1988dSpU2OS7TwvvPBC3N22zZlnnhnnAkaLT37yk/WLY2rnnXeOzTBaHHTQQTGVt8fyyy8fRwKg2xx88MExm7fHCiusEEeC0eL000+PO4eib37zmzECRovPfOYzMZu3x+abbx5HAqDb1ObwmM3b46tf/Wr85WPkNH0C35579r74YgyGatLwAUCG+v8aZu21115yySWXWWaZ+pfnn39+bAZGlzXWWCNucNtgo402isPAKDJhwoT6xTE1adKk2AyjxaOPPtrWjzj5yle+EkcCoNs8//zzMZu3x+GHHx5HgtFi+vTpcedQdMMNN8QIGC0uvvjimM3bo7b/OBIA3ebyyy+P2bw9RvwaIeCDVmj4ACBD/XeIK6+8cv1DPT796U/XvtTwwWh1xhlnxA1uG5xzzjlxGBhFNHxUx7777hsTehv09PTEYQDoQttvv31M6GV729veNmXKlDgMjBYaPirl3//932NOL9sSSywRxwCgO7XvI9drV584xggR8EGLNHwAkKH+O8Rlllmm3vCtvfbatS81fDBaPfHEE3GPW7ZVVlllzpw5cRgYRTR8VEdPT0/M6WVba6214hgAdKdLL7005vSyfelLX4pjwCii4aNSajfIMaeXbe+9945jANCdDj/88JjTyzayv54V8EHrNHwAkGHLLbf89Kc/XQ/4alZeeeXaGg0fjGJteoTGUUcdFQeA0UXDR6X853/+Z0zrpfr+978fBwCgO82ZM2eFFVaIab1U1157bRwDRhENH5Xy/PPPv+9974tpvVSTJ0+OYwDQnW699daY00tVu+7Urj5xjGEn4IMsGj4AyLDllluus846UfAtueQyyyxTW6Phg1HspptuWmihheJmtyQbb7zxq6++GgeA0UXDR6W4RgDQyCmnnBIze3kOOuig2DuMLho+qsY1AoBGvvzlL8fMXp6zzz479j7sXnlFwAd5NHwAkGHLLbdceeWVo+B7y6c//WkNH4xuxx13XNzsluShhx6KXcOoo+GjalwjAGhkp512ism9DJtvvnnsF0YdDR8V5BoBQCP/9m//FvN7GUbwE4FeeaX3oIMKxV6fRcAH/Wn4ACDDlltuueyyy0a+95Z11llHwwej3i677BK3vEN26623xk5hNNLwUUGuEQA08uEPfzim+CF76aWXYqcw6mj4qCbXCAAG9PTTT8f8PmRjxoyJnQ47AR8MjoYPADJ8+tOfjnZvro985CMaPqiCrbbaKm58h2DixImxOxilNHxU02c+85mY6IfANQJgVFp22WVjoh+C22+/PXYHo5GGj8pacsklY6IfAtcIgNHn5ptvjll+CN71rnfF7oadgA8GTcMHABnWWWedero3z7LLLqvhg4q47LLL4vY330ILLXTRRRfFjmD00vBRWeeee27M+Pne+973Xn/99bEjAEadH/zgBzHj5/vwhz/8+OOPx45glNLwUWUHH3xwzPj51llnnZkzZ8aOABhdZs+evf3228eMn2+zzTaLHQ07AR8MhYYPADJ85CMfiXYvcdJJJ8VmYLS77777Nt1007gPbtmGG244ZcqU2AWMaho+quyGG25YaaWVYupv2Re/+MXXXnstdgHAKHXFFVesuOKKMfW3bJdddonXw6im4aPiTj/99Jj3cxxxxBHxegBGrxNPPDHm/Rzf/e534/XDTsAHQ6ThA4AMyy67bL3bSx122GGxGaiGs88+e4MNNogb4vnadNNNzzvvvHgZVICGj4p78sknjzvuuI9//ONxGZiv7bbb7qqrropXAjDaTZ8+/aijjmql9n7b2972pS996dprr41Xwmin4YO77rrrkEMOWXrppeNK0Ng///M/77fffnfeeWe8EoDRrjbn12b+2vwfV4LGateR2tWkdk2JVw47AR8MnYYPAFo1bdq0qPaKdtxxxxgBVMkvfvGLLbbYYtFFF33b294Wd8lv+Yd/+Ielllpql1128fcGKkjDB3UXXHDBZz7zmZVWWmnhhReOy8Nb3v3ud6+22mq77bbbzTffHEMBqJKZM2eecsop66+//vLLL7/gggvG5eEt733ve9dee+3DDz/cM7ypGg0f1D399NMnnnhi7Rqx3HLLxbVhrqWXXrp2jTjiiCP++7//O0YDUCW1+b92FVh55ZX7/KKpZpFFFllzzTVrV5DadSRGjwQBH5RCwwcArbrmmmui2ivaYIMNYgRQPfvss8+WW2658cYb16aCT37yk5tssknty6OPPjo2Q8Vo+KC/xx577NZbb7333nuff/75WAUAvb1z5sx55JFHateIqVOnvvTSS7EWqkfDB/3Nnj37wQcfnDx5cu3/zpw5M9YCUG09PT2190ibb775hhtuuO66644dO/Yzn/lMbc20adNixAgR8EFZNHwA0Krjjjsuqr2i1VdffcTfHwMjpd7w9aHho7I0fAAAQBYNHwBAK+oNX38j+zdKAR+USMMHAK2aMGFCVHtFq6+++rXXXhuDgIrR8EFKwwfAgN54442TBnL77bfHCACqSsMHQCOPPfZY3DkUPf744zECqqQDGz4BH5RLwwcALfnv//7v2vvgqPaKVl999eOOOy7GARWj4YOUhg+AAc2ZMyeuCkUXXnhhjACgqjR8ADRy9913x1Wh6J577okRUCWd1vAJ+KB0Gj4AaMk111xTex8c1V7R6quvvvPOO8c4oGI0fJDS8AEwIA0fAI1o+ABoRMMHqY5q+JoGfPvsI+CDbBo+AGjJ8ccfX3sfHNVe0eqrr17b9OCDD8ZQoEo0fJDS8AEwIA0fAI1o+ABoRMMHqc5p+FoJ+F5+OQYDrdPwAUBLdtlll9r74Kj2iuoN39VXXx1DgSrR8EFKwwfAgDR8ADSi4QOgEQ0fpDqk4RPwQfto+ACguQcffLD+PjiqvaJ6w3fCCSfEaKBKNHyQevbZZ5/u52W/swGoPA0fAI3UrhFx51A0e/bsGAFAVWn4INUJDZ+AD9pKwwcAzV199dX198FR7RXVG75dd901RgNVouEDAGhKwwcAAOTS8EFqxBu+2bMFfNBeGj4AaO7EE0+svw+Oaq+o3vDVPPDAA/ECoDI0fAAATWn4AACAXBo+SI1swzd7du+hh/aN9tJFwAdDp+EDgCbefPPN3Xbbrf4+OKq9onkN31VXXRWvASpDwwcA0JSGDwAAyKXhg9QINnwCPhgeGj4AaOL++++Pd8HNGr6TTjopXgNUhoYPAKApDR8AAJBLwwepkWr4BHwwbDR8ANDEr3/963gX3Kzh+/KXv/zmm2/Gy4Bq0PABADSl4QMAAHJp+CA1Ig2fgA+Gk4YPAJo4+eST411ws4av5v7774+XAdWg4QMAaErDBwAA5NLwQWr4Gz4BHwwzDR8AzM8bb7yx++67x7vgFhq+X//61/FKoBo0fAAATWn4AACAXBo+SA1zwyfgg+Gn4QOA+fnLX/4Sb4HfEtVeUdrwnXzyyfFKoBo0fAAATWn4AACAXBo+SA1nwyfggxGh4QOA+bnyyivjLfBbotorShu+PfbYY86cOfFioAI0fAAATWn4AACAXBo+SA1bwyfgg5Gi4QOA+TnppJPiLfBbotorShu+mvvuuy9eDFSAhg8AoCkNHwAAkEvDB6nhafgEfDCCNHwA0NCcOXP22GOPeAv8lqj2ivo0fFdccUW8HqgADR8AQFMaPgAAIJeGD1LD0PAJ+GBkafgAoKH77rsv3v/OFdVeUZ+G78QTT4zXAxWg4QMAaErDBwAA5NLwQardDZ+AD0achg8AGrriiivi/e9cUe0V9Wn49txzz9dffz12AYx2Gj4AgKY0fAAAQC4NH6Ta2vAJ+KATaPgAoKETTzwx3v/OFdVeUZ+Gr2bq1KmxC2C00/ABADSl4QMAAHJp+CDVvoZPwAcdQsMHAAN77bXX9tprr3j/O1dUe0X9G77LL7889gKMdho+AICmNHwAAEAuDR+k2tTwCfigc2j4AGBg9957b7z5TUS1V9S/4TvhhBNiL8Bop+EDAGhKwwcAAOTS8EGqHQ3fq68K+KCDaPgAYGC/+tWv4s1vIqq9ov4N39577/3aa6/FjoBRTcMHANCUhg8AAMil4YNU6Q3fq6/2fuMbfaO9dNl/fwEfDCsNHwAM7Pjjj483v4mo9or6N3w19957b+wIGNU0fAAATWn4AACAXBo+SJXb8LUS8M2cGYOB4aHhA4ABvPrqq3vvvXe8+U1EtVc0YMP3q1/9KvYFjGoaPgCApjR8AABALg0fpEps+AR80Jk0fAAwgClTpsQ736Ko9ooGbPiOP/742Bcwqmn4AACa0vABAAC5NHyQKqvhE/BBx9LwAcAALrvssnjnWxTVXtGADd/ee+89e/bs2B0wemn4AACa0vABAAC5NHyQKqXhE/BBJ9PwAcAAjjvuuHjnWxTVXtGADV/Nn//859gdMHpp+AAAmtLwAQAAuTR8kBp6wyfggw6n4QOAvmbPnr3XXnvFO9+iqPaKGjV8v/zlL2OPwOil4QMAaErDBwAA5NLwQWqIDZ+ADzqfhg8A+vrzn/8cb3v7iWqvqFHDd+yxx8YegdFLwwepAw88cOd+zj777NgMQFVp+ABoZMaMGXHnUHTLLbfECACqSsMHqaE0fAI+6AoaPgDo65e//GW87e0nqr2iRg3fnnvu+corr8ROgVFKwwepCRMmxD+DxKRJk2IzAFWl4QOgkenTp8dVoeiGG26IEQBUlYYPUoNu+AR80C00fADQ17HHHhtve/uJaq+oUcNX404SRj0NH6Q0fAAM6I033thlIJdffnmMAKCqNHwANDJ16tS4cyi67777YgRUyeAaPgEfdBENHwAUzJo16+uNRbVXtPXWW8fmfi699NLYLzBKafggpeEDAACyaPgAAFoxiIZPwAfdRcMHABmi2ivad999YzNQPRo+SGn4AACALBo+AIBW5DZ8Aj7oOho+AMgQ1V6Rhg+qTMMHKQ0fAACQRcMHANCKrIZPwAfdSMMHABmi2ivS8EGVafggpeEDAACyaPgAAFrResMn4IMupeEDgAxR7RVp+KDKNHyQ0vABAABZNHwAAK1oseET8EH30vABQIao9oo0fFBlGj5IafgAAIAsGj4AgFa00vC9/rqAD7qYhg8AMkS1V6ThgyrT8EFKwwcAAGTR8AEAtKJpw/f6673f/nbfaC9dBHzQ4TR8AJAhqr0iDR9UmYYPUho+AAAgi4YPAKAV82/4BHwwCmj4ACBDVHtFGj6oMg0fpDR8AABAFg0fAEAr5tPwCfhgdNDwAUCGqPaKNHxQZRo+SGn4AACALBo+AIBWNGr4HnjgIQEfjA4aPgDIENVekYYPqkzDBykNHwAAkEXDBwDQigEbvi222Gb//Z/vE+2ly4EHCviga2j4ACBDVHtFGj6oMg0fpDR8AABAFg0fAEAr+jd8W2yxzUornT927Mw+3d685cADe195JV4OdD4NHwBkiGqvSMMHVabhg5SGDwAAyKLhAwBoRZ+Grx7wLbnkbY0aPgEfdB0NHwBkiGqvSMMHVabhg5SGDwAAyKLhAwBoRdrwzQv4GjV8Aj7oRho+AMgQ1V6Rhg+qTMMHKQ0fAACQRcMHANCKeQ1fGvAN2PAJ+KBLafgAIENUe0UaPqgyDR+kNHwAAEAWDR8AQCvqDV+fgK9/w9d1AV/tu508ufeSS3r/8pdYA5Wl4QOADFHtFWn4oMo0fJDS8AEAAFk0fAAArejp6ekf8PVp+Lou4Js5s/fgg+Ob32qr3uuui/VQTRo+AMgQ1V6Rhg+qTMMHKQ0fAACQRcMHANCKnp6eVVb5rz4BX22Z1/B1Y8C3//4R8M1bbr01tkIFafgAIENUe0UaPqgyDR+kNHwAAEAWDR8AQCt++tO7+tR79aXe8B18cO+sWTGyK8yc2XvAAX0DvtoyfnwMgArS8AFAhqj2ijR8UGUaPkhp+AAAgCwaPgCAVhx55F/61Hv1ZezYmQcd1GUB39/+NsAT+OYtjzwSw6BqNHwAkCGqvSINH1SZhg9SGj4AACCLhg8AoBU//OGUPvVefdl11xdGwUfozlu22qrLPhEYSqThA4AMUe0VafigyjR8kNLwAQAAWTR8AACtuOmm333wg5f1Cfg++MFLp059KEZ0g5dfnl/AV1t+/OMYCRWk4QOADFHtFWn4oMo0fJDS8AEAAFk0fAAArejp6dl00+1XWOHSeQHfhz/8k8985rPTpk2LER2vacDnTytUnIYPADJEtVek4YMq0/BBSsMHQCMzBjJz5szYDEBVafgAaOS1116LO4ei2voYAVXS09NTf5u03npfW3PNozbY4Kv1L7ul4Xv55d599ukb7aXLUUf1vvFGDIZq0vABQIao9oo0fFBlGj5IafgAGNCcOXPiqlB04YUXxggAqkrDB0Ajd999d1wViu65554YAVUyr+HroysaPgEftELDBwAZotor0vBBlWn4IKXhA2BAGj4AGtHwAdCIhg9S3dvwCfigRRo+AMgQ1V6Rhg+qTMMHKQ0fAAPS8AHQiIYPgEY0fJDq0oZPwAet0/ABQIao9oo0fFBlGj5IafgAGJCGD4BGNHwANKLhg1Q3NnwCPsii4QOADFHtFWn4oMo0fJA666yzTu7n+uuvj80AVJWGD4BGXnzxxbhzKJo6dWqMAKCqNHyQ6rqGT8AHuTR8AJAhqr0iDR9UmYYPAKApDR8AAJBLwwep7mr4BHwwCBo+AMgQ1V6Rhg+qTMMHANCUhg8AAMil4YNUFzV8Aj4YHA0fAGSIaq9IwwdVpuEDAGhKwwcAAOTS8EGqWxo+AR8MmoYPADJEtVek4YMq0/ABADSl4QMAAHJp+CDVFQ2fgA+GQsMHABmi2ivS8EGVafgAAJrS8AEAALk0fJDq/IZPwAdDpOEDgAxR7RVp+KDKNHwAAE1p+AAAgFwaPkh1eMMn4IOh0/ABQIao9oo0fFBlGj4AgKY0fAAAQC4NH6Q6ueET8EEpNHwAkCGqvSINH1SZhg8AoCkNHwAAkEvDB6mObfgEfFAWDR8AZIhqr0jDB1Wm4QMAaErDBwAA5NLwQaozGz4BH5RIwwcAGaLaK9LwQZVp+AAAmtLwAQAAuTR8kOrAhk/AB+XS8AFAhqj2ijR8UGUaPgCApjR8AABALg0fpDqt4Wsa8H3/+wI+yKPhA4AMUe0VafigyjR8AABNafgAAIBcGj5IdVTD10rA9+abMRhokYYPADJEtVek4YMq0/ABADSl4QMAAHJp+CDVOQ2fgA/aRMMHABmi2ivS8EGVafgAAJrS8AEAALk0fJDqkIbvxRcFfNAuGj4AyBDVXpGGD6pMwwcA0JSGDwAAyKXhg1QnNHwvvti75559o710EfDBUGj4ACBDVHtFGj6oMg0fAEBTGj4AACCXhg9SI97wCfig3TR8AJAhqr0iDR9UmYYPAKApDR8AAJBLwwepkW34BHwwDDR8AJAhqr0iDR9UmYYPAKApDR8AAJBLwwepEWz4BHwwPDR8AJAhqr0iDR9UmYYPAKApDR8AAJBLwwepkWr4BHwwbDR8AJAhqr0iDR9UmYYPAKApDR8AAJBLwwepEWn4BHwwnDR8AJAhqr0iDR9UmYYPAKApDR8AAJBLwwep4W/4BHwwzDR8AJAhqr0iDR9UmYYPAKApDR8AAJBLwwepYW74BHww/DR8AJAhqr0iDR9UmYYPAKApDR8AAJBLwwep4Wz4BHwwIjR8AJAhqr0iDR9UmYYPUjfeeOO1/UyZMiU2A1BVGj4AGpk1a1bcORQ98cQTMQKAqtLwQWrYGj4BH4wUDR8AZIhqr0jDB1Wm4YPUhAkT4p9BYtKkSbEZgKrS8AHQyPTp0+OqUHTDDTfECACqSsMHqeFp+AR8MII0fACQIaq9Ig0fVJmGD1IaPgAGpOEDoBENHwCNaPggNQwNn4APRpaGDwAyRLVXpOGDKtPwQUrDB8CA3nzzzesGUvon/gDQdTR8ADTy3HPPxZ1DUW19jIAqaXfDJ+CDEafhA4AMUe0VafigyjR8kNLwAQAAWTR8AACtaGvDJ+CDTqDhA4AMUe0VafigyjR8kNLwAQAAWTR8AACtaF/DJ+CDDqHhA4AMUe0VafigyjR8kNLwAQAAWTR8AACtaFPDJ+CDzqHhA4AMUe0VafigyjR8kNLwAQAAWTR8AACtaEfD1zTgO+EEAR8MHw0fAGSIaq9IwwdVpuGDlIYPAADIouEDAGhF6Q2fgA86jYYPADJEtVek4YMq0/BBSsMHAABk0fABALSi3IZPwAcdSMMHABmi2ivS8EGVafggpeEDAACyaPgAAFpRYsP3/PMCPuhEGj4AyBDVXpGGD6pMwwcpDR8AAJBFwwcA0IqyGr7nn+/98pf7RnvpIuCDkaLhA4AMUe0VafigyjR8kNLwAQAAWTR8AACtKKXhE/BBJ9PwAUCGqPaKNHxQZRo+SGn4AACALBo+AIBWDL3hE/BBh9PwAUCGqPaKNHxQZRo+SGn4AACALBo+AIBWDLHhE/BB59PwAUCGqPaKNHxQZRo+SGn4AACALBo+AIBWDKXhE/BBV9DwAUCGqPaKNHxQZRo+SGn4AACALBo+AIBWDLrhE/BBt9DwAUCGqPaKNHxQZRo+SGn4AACALBo+AIBWDK7hE/BBF9HwAUCGqPaKNHxQZRo+SGn4AACALBo+AIBWDKLhE/BBd9HwAUCGqPaKNHxQZRo+SGn4AACALBo+AIBW5DZ8Aj7oOho+AMgQ1V6Rhg+qTMMHKQ0fAACQRcMHANCKrIZPwAfdSMMHABmi2ivS8EGVafggpeEDAACyaPgAAFrResMn4IMupeEDgAxR7RVp+KDKNHyQ0vABAABZNHwAAK1oseET8EH30vABQIao9oo0fFBlGj5IafgAAIAsGj4AgFa00vAJ+KCrafgAIENUe0UaPqgyDR+kNHwAAEAWDR8AQCuaNnwCPuh2Gj4AyBDVXpGGD6pMwwcpDR8AAJBFwwcA0Ir5N3wCPhgFNHwAkCGqvSINH1SZhg9SGj4AACCLhg8AoBXzafgEfDA6aPgAIENUe0UaPqgyDR+kNHwADOiNN944aSC33357jACgqjR8ADTy2GOPxZ1D0eOPPx4joEoaNXx/+tPD8w/4TjlFwAfdQcMHABmi2ivS8EGVafggpeEDYEBz5syJq0LRhRdeGCMAqCoNHwCN3H333XFVKLrnnntiBFTJgA3fppuOHz/+pT7RXrqcckq8HOh8Gj4AyBDVXpGGD6pMwwcpDR8AA9LwAdCIhg+ARjR8kOrf8G266fjllrt67NiZfbq9eYuAD7qLhg8AMkS1V6ThgyrT8EFKwwfAgDR8ADSi4QOgEQ0fpPo0fJtsssNyy1295JK3NWr4BHzQdTR8AJAhqr0iDR9UmYYPUho+AAak4QOgEQ0fAI1o+CCVNnxvBXzXLrnkbY0aPgEfdCMNHwBkiGqvSMMHVabhg9Szzz77dD8vv/xybAagqjR8ADRSu0bEnUPR7NmzYwQAVaXhg9S8hi8N+AZs+AR80KU0fACQIaq9Ig0fVJmGDwCgKQ0fAACQS8MHqXrD1yfg69/wdV3AN2tW7+TJvZdc0nvffbEGKkvDBwAZotor0vBBlWn4AACa0vABAAC5NHyQ6unp2XTT7fsEfH0avtNPj8Hd4tFHe3ff/X8DxDPOiPVQTRo+AMgQ1V6Rhg+qTMMHANCUhg8AAMil4YPULbf87oMf/FWfgK+2zGv4uu4JfA8/3LvDDv8b8NWXH/84tkIFafgAIENUe0UaPqgyDR8AQFMaPgAAIJeGD1JnnvnnPvVefak3fKMj4KstW23V++qrMQaqRsMHABmi2ivS8EGVafgAAJrS8AEAALk0fJD6v//3/j71Xn0ZO3bmaafFmG4xbVrv9tv3rffmLbWtUE0aPgDIENVekYYPqkzDBwDQlIYPAADIpeGD1Lnn3tWn3qsvRx75dIzoEo2ewFdfxo2LYVBBGj4AyBDVXpGGD6pMwwcA0JSGDwAAyKXhg1RPT89HPnJWn4Bv1VVPn9ZVj62bf8BXW269NUZCBWn4ACBDVHtFGj6oMg0fAEBTGj4AACCXhg9SPT09W2yx9b/920n1eu+97+1Za63v1v5FdFHD1zTg+/WvYyRUk4YPADJEtVek4YMq0/ABADSl4QMAAHJp+CDV09NT/yew0UYT1lnnO5tsskP9y25p+AR80JSGDwAyRLVXpOGDKtPwAQA0peEDAAByafggNa/h66MrGr6mAd9ll8VIqDINHwBkiGqvSMMHVabhAwBoSsMHAADk0vBBqnsbPgEftEjDBwAZotor0vBBlWn4AACa0vABAAC5NHyQ6tKGT8AHrdPwAUCGqPaKNHxQZRo+AICmNHwAAEAuDR+kurHhE/BBFg0fAGSIaq9IwwdVpuEDAGhKwwcAAOTS8EGq6xq+xx4T8EEeDR8AZIhqr0jDB1Wm4QMAaErDBwAA5NLwQaq7Gr7HHuv9whf6RnvpIuCD/jR8AJAhqr0iDR9UmYYPAKApDR8AAJBLwwepLmr4BHwwOBo+AMgQ1V6Rhg+qTMMHANCUhg8AAMil4YNUtzR8Aj4YNA0fAGSIaq9IwwdVpuEDAGhKwwcAAOTS8EGqKxo+AR8MhYYPADJEtVek4YMq0/ABADSl4QMAAHJp+CDV+Q2fgA+GSMMHABmi2ivS8EGVafgAAJrS8AEAALk0fJDq8IZPwAdDp+EDgAxR7RVp+KDKNHwAAE1p+AAAgFwaPkh1csMn4INSaPgAIENUe0UaPqgyDR8AQFMaPgAAIJeGD1Id2/AJ+KAsGj4AyBDVXpGGD6pMwwcA0JSGDwAAyKXhg1RnNnwCPiiRhg8AMkS1V6ThgyrT8EHqwAMP3Lmfs88+OzYDUFUaPgAamTFjRtw5FN1yyy0xAoCq0vBBqgMbPgEflEvDBwAZotor0vBBlWn4IDVhwoT4Z5CYNGlSbAagqjR8ADQyffr0uCoU3XDDDTECgKrS8EGq0xo+AR+UTsMHABmi2ivS8EGVafggpeEDYEBvvPHGLgO5/PLLYwQAVaXhA6CRqVOnxp1D0X333RcjoEo6quFrGvD9/OcxEmidhg8AMkS1V6ThgyrT8EFKwwcAAGTR8AEAtKJzGj4BH7SJhg8AMkS1V6ThgyrT8EFKwwcAAGTR8AEAtKJDGj4BH7SPhg8AMkS1V6ThgyrT8EFKwwcAAGTR8AEAtKITGr4nnhDwQRtp+AAgQ1R7RRo+qDINH6Q0fAAAQBYNHwBAK0a84Xviid6dduob7aWLgA+GSMMHABmi2ivS8EGVafggpeEDAACyaPgAAFoxsg2fgA+GgYYPADJEtVek4YMq0/BBSsMHAABk0fABALRiBBs+AR8MDw0fAGSIaq9IwwdVpuGDlIYPAADIouEDAGjFSDV8Aj4YNho+AMgQ1V6Rhg+qTMMHKQ0fAACQRcMHANCKEWn4BHwwnDR8AJAhqr0iDR9UmYYPUho+AAAgi4YPAKAVw9/wCfhgmGn4ACBDVHtFGj6oMg0fpDR8AABAFg0fAEArhrnhE/DB8NPwAUCGqPaKNHxQZRo+SGn4AACALBo+AIBWDGfDJ+CDEaHhA4AMUe0VafigyjR8kNLwAQAAWTR8AACtGLaGT8AHI0XDBwAZotor0vBBlWn4IKXhAwAAsmj4AABaMTwNn4APRpCGDwAyRLVXpOGDKtPwQUrDBwAAZNHwAQC0YhgavqYB3/nnx0igHTR8AJAhqr0iDR9UmYYPUho+AAAgi4YPAKAV7W74mgZ8P/5xjATaRMMHABmi2ivS8EGVafggpeEDAACyaPgAAFrR1oZPwAedQMMHABmi2ivS8EGVafggpeEDAACyaPgAAFrRvoZPwAcdQsMHABmi2ivS8EGVafggpeEDAACyaPgAAFrRpoZPwAedQ8MHABmi2ivS8EGVafggpeEDAACyaPgAAFrRjobvqacEfNBBNHwAkCGqvSINH1SZhg9SGj4AACCLhg8AoBWlN3xPPdW78859o710EfDBMNPwAUCGqPaKNHxQZRo+SGn4AACALBo+AIBWlNvwCfigA2n4ACBDVHtFGj6oMg0fpDR8AABAFg0fAEArSmz4BHzQmTR8AJAhqr0iDR9UmYYPUho+AAAgi4YPAKAVZTV8Aj7oWBo+AMgQ1V6Rhg+qTMMHKQ0fAI3MGMjMmTNjMwBVpeEDoJHXXnst7hyKautjBFRJKQ2fgA86mYYPADJEtVek4YMq0/BBSsMHwIDmzJkTV4WiCy+8MEYAUFUaPgAaufvuu+OqUHTPPffECKiSoTd8Aj7ocBo+AMgQ1V6Rhg+qTMMHKQ0fAAPS8AHQiIYPgEY0fJAaYsMn4IPOp+EDgAxR7RVp+KDKNHyQ0vABMCANHwCNaPgAaETDB6mhNHwCPugKGj4AyBDVXpGGD6pMwwcpDR8AA9LwAdCIhg+ARjR8kBp0wyfgg26h4QOADFHtFWn4oMo0fJA666yzTu7n+uuvj80AVJWGD4BGXnzxxbhzKJo6dWqMAKCqNHyQGlzDJ+CDLqLhA4AMUe0VafigyjR8AABNafgAAIBcGj5IDaLhaxrw/dd/xUigE2j4ACBDVHtFGj6oMg0fAEBTGj4AACCXhg9SuQ2fgA+6joYPADJEtVek4YMq0/ABADSl4QMAAHJp+CCV1fAJ+KAbafgAIENUe0UaPqgyDR8AQFMaPgAAIJeGD1KtN3wCPuhSGj4AyBDVXpGGD6pMwwcA0JSGDwAAyKXhg1SLDd8zzwj4oFtp+AAgQ1R7RRo+qDINHwBAUxo+AAAgl4YPUq00fM8807vrrn2jvXQR8EEn0/ABQIao9oo0fFBlGj4AgKY0fAAAQC4NH6SaNnwCPuh2Gj4AyBDVXpGGD6pMwwcA0JSGDwAAyKXhg9T8Gz4BH4wCGj4AyBDVXpGGD6pMwwcA0JSGDwAAyKXhg9R8Gj4BH4wOGj4AyBDVXpGGD6pMwwcA0JSGDwAAyKXhg1Sjhu8Pf3hYwAejg4YPADJEtVek4YMq0/ABADSl4QMAAHJp+CA1YMO3ySY7bLfdS32ivXQR8EEX0fABQIao9oo0fFBlGj4AgKY0fAAAQC4NH6T6N3ybbLLDcstdO3bszD7d3rxFwAfdRcMHABmi2ivS8EGVafgAAJrS8AEAALk0fJDq0/DVA74ll7ytUcMn4IOuo+EDgAxR7RVp+KDKNHwAAE1p+AAAgFwaPkilDd+8gK9Rwyfgg26k4QOADFHtFWn4oMo0fAAATWn4AACAXBo+SM1r+NKAb8CGT8AHXUrDBwAZotor0vBBlWn4AACa0vABAAC5NHyQqjd8fQK+/g1f1wV8jz/eO2lS73e+0/vzn8caqCwNHwBkiGqvSMMHVabhAwBoSsMHAADk0vBBqqenZ9NNd1huuWvSgK9Pw3fmmTG4Wzz8cO+OO/5vgHjccbEeqknDBwAZotor0vBBlWn4AACa0vABAAC5NHyQuuWW333wg7/qE/DVlnkN32mnxchu8cgjvdtv/78BX3358Y9jK1SQhg8AMkS1V6ThgyrT8AEANKXhAwAAcmn4IHXmmX/uU+/Vl3rDNzoCvtqy1Va9r74aY6BqNHwAkCGqvSINH1SZhg8AoCkNHwAAkEvDB6n/+3/v71Pv1ZexY2eefnqM6RbTpvWOH9+33pu31LZCNWn4ACBDVHtFGj6oMg0fAEBTGj4AACCXhg9S5557V596r74ceeTTMaJLPPzwwE/gqy/jxsUwqCANHwBkiGqvSMMHVabhAwBoSsMHAADk0vBBqqen5yMfOatPwLfqqqdN66rH1tW+2fkEfLXl1ltjJFSQhg8AMkS1V6ThgyrT8AEANKXhAwAAcmn4INXT07PFFlv/27+dVK/33vvenrXW+m7tX0QXNXy17/Tzn+8b7aXLNdfESKgmDR/A8Pn9739/7LHHXnDBBfE1XSiqvSINH1SZhg9SN95447X9TJkyJTYDUFUaPgAamTVrVtw5FD3xxBMxAoCq0vBBqqenp/5PYLPNtttwwz033/yz9S+7peET8EFTGj6AYXLyyScvMNc4n+TftaLaK9LwQZVp+CA1YcKE+GeQmDRpUmwGoKo0fAA0Mn369LgqFN1www0xAoCq0vBBal7D10dXNHwCPmiFhg9gODzxxBNLL710FHxvmThxYmyjq0S1V6ThgyrT8EFKwwfAgDR8ADSi4QOgEQ0fpLq34RPwQYs0fADDYeLEidHuzbX00kv7PIhuFNVekYYPqkzDBykNHwADevPNN68bSLd84g8A7aPhA6CR5557Lu4cimrrYwRUSZc2fAI+aJ2GD6Dt+j+Er86j+LpRVHtFGj6oMg0fpDR8AABAFg0fAEArurHhE/BBFg0fQNv1fwhfnUfxdaOo9oo0fFBlGj5IafgAAIAsGj4AgFZ0XcMn4INcGj6A9mr0EL46j+LrOlHtFWn4oMo0fJDS8AEAAFk0fAAAreiuhk/AB4Og4QNor0YP4avzKL6uE9VekYYPqkzDBykNHwAAkEXDBwDQii5q+AR8MDgaPoA2mv9D+Oo8iq+7RLVXpOGDKtPwQUrDBwAAZNHwAQC0olsaPgEfDJqGD6CN5v8QvjqP4usuUe0VafigyjR8kNLwAQAAWTR8AACt6IqGT8AHQ6HhA2iXVh7CV+dRfF0kqr0iDR9UmYYPUho+AAAgi4YPAKAVnd/wCfhgiDR8AO2SPoTv29/+dvzXQDyKr4tEtVek4YMq0/BBSsMHAABk0fABALSiwxs+AR8MnYYPoC3Sh/B9+9vfrq2p/3cjHsXXLaLaK9LwQZVp+CCl4QMAALJo+AAAWtHJDZ+AD0qh4QNoi/QhfG+++WZtzbe+9a34eiAexdctotor0vBBlWn4IKXhAwAAsmj4AABa0bENn4APyqLhAyhf+hC+b33rW/WVb775Zn1NIx7F1xWi2ivS8EGVafggpeEDAACyaPgAAFrRmQ2fgA9KpOEDKF/6EL433ngj1vb2fvOb34y1A/Eovq4Q1V6Rhg+qTMMHKQ0fAACQRcMHANCKDmz4BHxQLg0fQMnSh/AdccQRsfYtc+bMqa9vxKP4Ol9Ue0UaPqgyDR+kNHwAAEAWDR8AQCs6reGbf8C31VYCPsim4QMoWfoQvjlz5sTauY444ojYNhCP4ut8Ue0VafigyjR8kNLwAQAAWTR8AACt6KiGr2nAd/31MRJonYYPoEzpQ/i+8Y1vxNrE66+/Xt/aiEfxdbio9oo0fFBlGj5IafgAAIAsGj4AgFZ0TsN3//0CPmgLDR9AmdKH8L3++uuxtugb3/hGjBiIR/F1uKj2ijR8UGUaPkhp+AAAgCwaPgCAVnRIw3f//b3jxvXt9uYtAj4YCg0fQGnSh/B9/etfj7X9vPbaa/UxjXgUXyeLaq9IwwdVpuGDlIYPAADIouEDAGhFJzR8Aj5oKw0fQGnSh/C99tprsXYgX//612PcQDyKr5NFtVek4YMq0/BBSsMHAABk0fABALRixBs+AR+0m4YPoBzpQ/gOP/zwWNvAq6++Wh/ZiEfxdayo9oo0fFBlGj5IafgAAIAsGj4AgFaMbMMn4INhoOEDKEf6EL7Zs2fH2sYOP/zwGD0Qj+LrWFHtFWn4oMo0fJDS8AEAAFk0fAAArRjBhk/AB8NDwwdQgvQhfIcddlisna/Zs2fXxzfiUXydKaq9Ig0fVJmGD1IaPgAAIIuGDwCgFSPV8An4YNho+ABKkD6E75VXXom1zRx22GHxmoF4FF9nimqvSMMHVabhg5SGDwAAyKLhAwBoxYg0fAI+GE4aPoChSh/Cd+ihh8baFrzyyiv1VzXiUXwdKKq9Ig0fVJmGD1IaPgAAIIuGDwCgFcPf8An4YJhp+ACGKn0I36xZs2Jtaw455JB45UA8iq8DRbVXpOGDKtPwQUrDB8CA3njjjZMGcvvtt8cIAKpKwwdAI4899ljcORQ9/vjjMQKqZJgbPgEfDD8NH8CQpA/h+9rXvhZrWzZr1qz6axvxKL5OE9VekYYPqkzDBykNHwADmjNnTlwVii688MIYAUBVafgAaOTuu++Oq0LRPffcEyOgSoaz4RPwwYjQ8AEMSfoQvpkzZ8baHF/72tfi9QMZ2Ufx3XvvvWefffZee+216aab7r333scdd9yvfvWr2FZVUe0VafigyjR8kNLwATAgDR8AjWj4AGhEwwepYWv4BHwwUjR8AIOXPoTv4IMPjrWZ/va3v9X30MiIPIrv9ttv32677eI7KNptt91yPzJ4Pm699dbjjz/+97//fXzd8aLaK9LwQZVp+CCl4QNgQBo+ABrR8AHQiIYPUsPT8An4YARp+AAGL30I39/+9rdYm+/ggw+OvQxk+B/Fd+ihhy644IL1oy+//PITJkzYcccdF1tssfqauptuuilGD8EXv/jF2N0CC9TeYs6ePTs2dLCo9oo0fFBlGj5IafgAGJCGD4BGNHwANKLhg9QwNHwCPhhZGj6AQUofwnfQQQfF2kF5+eWX6/tpZDgfxTevqxszZszvfve7WNvbO2XKlFVWWaW+qW6I7wgPO+yw2NFcBx54YGzrYFHtFWn4oMo0fJB69tlnn+6n9lYnNgNQVRo+ABqpXSPizqGoK/7nvgC0lYYPUu1u+AR8MOI0fACDlD6Eb+h/mT7ooINiXwMZtkfx7bvvvvUjHnDAAbEqcdxxx9W31q255pqD/lXa448//s53vjN2NFdtTWzuYFHtFWn4oMo0fAAATWn4AACAXBo+SLW14RPwQSfQ8AEMRvoQvlKeHvfSSy/V99bIMDyK74gjjqgf65JLLolVRRdffHF9wDw//elPY1umU045JXaRGDNmTGzuYFHtFWn4oMo0fAAATWn4AACAXBo+SLWv4RPwQYfQ8AEMRvoQvhdffDHWDs2BBx4YexxIux/F9+tf/7p+oPnEghdddFF9zDxHHHFEbMs07xN7U0P8SOLhEdVekYYPqkzDBwDQlIYPAADIpeGDVJsaPgEfdA4NH0C29CF8X/3qV2PtkL344ov1fTbS1kfx/cd//EftEPN/El5aLtbV3hfGtkwf+tCHYheJX/7yl7G5g0W1V6ThgyrT8AEANKXhAwAAcmn4INWOhk/ABx1FwweQLU3ZXnjhhVhbhq9+9aux34G071F8Rx11VP0Q86/oxo0bVx82T+1bim05nnzyyXh9Ubkns02i2ivS8EGVafgAAJrS8AEAALk0fJAqveFrGvD99rcxEhgeGj6APOlD+A444IBYW5IXXnihvudG2vEovj/+8Y//9E//VNv52LFjY1UDSy21VP3bmGeJJZaIbTkuvfTSeH3i4x//eGzubFHtFWn4oMo0fAAATWn4AACAXBo+SJXb8E2dKuCDjqPhA8iTPoTv+eefj7XlOeCAA2LvA2nHo/gOOuig+s5/8pOfxKqB1N4X1oel5v/Zu43ss88+8fpEiZ9K3FZR7RVp+KDKNHwAAE1p+AAAgFwaPkiV2PBNndr72c/27fbmLQI+GCkaPoAM6UP49t9//1hbqueff76+/0bKfRRf7XDLLrtsbbfrrLNOrGrgiCOOqH8Dqb333js25/jwhz8cr09cdtllsbmzRbVXpOGDKtPwAQA0peEDAAByafggVVbDJ+CDjqXhA8iQPoTvueeei7Vl23///eMYAyn3UXynn356fbcnnHBCrGpggw02qI9MXXzxxbG5ZY8//ni8uKgdDzVsh3q014eGD6pMwwcA0JSGDwAAyKXhg1QpDZ+ADzqZhg+gVelD+Pbbb79Y2wbPPvts/SiNlPgovk996lP1fd55552xaiC///3v68NSCy+88KuvvhojWvbjH/84Xp9YY401YnPHi2qvSMMHVabhAwBoSsMHAADk0vBBaugNn4APOpyGD6BV6UP4nn322VjbHvvtt18caSBlPYrvoYcequ9wtdVWi1UN7L777vWRqV122SU25xhwVwcddFBs7nhR7RVp+KDKNHwAAE1p+AAAgFwaPkgNseET8EHn0/ABtCR9CN8wBFvPPPNM/ViNlPIoviuvvLK+twMOOCBWDeTZZ59dbLHF6iNTP/vZz2JEjjXWWCNen7j88stjc8eLaq9Iw1dxs2bNeqltZs6cGYcZmjlz5sQe2+P111+PIw1NN57M3XfffbN+vvOd78TmfFU+maVzMkvkZJbIySyRk1kiJ7NETmZ/zz//fLxPKjrnnHNiRANOZomczBI5mSVyMkvkZJbIySyRk1kiJ7NETmaJ2ncye3p64s6h6He/+12MaJmTWSIns0RZJ3M+DV/Tk/n73/9t661f32yzgZfNN3/96qtnxtCB+MksUVknM3b30kuzZ8+OVXQ/DR9AS9KH8D3zzDOxtp2+8pWvxPEGUsqj+Or/Ty2++OLxdQM/+clP6gdNvfvd737uuediRI54fVG7n2tYoqj2ijR8FVf7pxT3SW1Q1lMq//KXv8Qe2+P3v/99HGlouuJk3n///bHHtyy//PIxFyRWXnnl2JyvyiezdE5miZzMEjmZJXIyS1TWyfzOd74Te2wDJ7NEw3wyt9hii3ifVLTGGmvEiAa64mQeeOCBcZih8ZNZ42SWyMkskZNZIiezRE5miZzMEjmZJXIyP/nJT8adQ9GYMWNiRMu65WTecccdcaSh8ZNZM/pO5nwavvmfzE99aq+llrplySVvG3B573tvW2+9w2JoA34yS1TWyYzdbbnl2WefHavofho+gObSh/Dts88+sbbNnn766foRG5k45EfxTZ48+fvf/3580diOO+4Yh0xMmDAhNueo3cjF6xNrrrlmbO4GcYNYpOGruK74q7+Gr6ZNf6jW8A1Fu2+GncwSOZklcjJL5GSWqKyT2dbfxjqZJRrmk6nha4WfzBons0ROZomczBI5mSVyMkvkZJbIySyRk6nhGzQ/mTUavrqhB3w1fjJLpOFjPjR8AM1NTB7CN2PGjFjbfvvss08cdSClPIqvqUYfpPuLX/wiRuQ44YQT4vWJgw8+ODZ3g7hBLNLwVVxX/NVfw1fTpj9Ua/iGot03w05miZzMEjmZJXIyS1TWyWzrb2OdzBIN88nU8LXCT2aNk1kiJ7NETmaJnMwSOZklcjJL5GSWyMnU8A2an8waDV9NKQFfjZ/MEmn4mA8NH0AT6UP49t5771g7LGbMmFE/biMTh/wovqYG/CDd5Zdf/tVXX40RObbaaqvYReKKK66Izd0gbhCLNHwV1xV/9dfw1bTpD9UavqFo982wk1kiJ7NETmaJnMwSlXUy2/rbWCezRMN8MjV8rfCTWeNklsjJLJGTWSIns0ROZomczBI5mSVyMjV8g+Yns0bDV1bAV+Mns0QaPuZDwwfQxMTkIXxPPfVUrB0ue++9dxx7IMPwKL4BP0h30MnaoosuGrtIPPPMM7G5G8QNYpGGr+K64q/+Gr6aNv2hWsM3FO2+GXYyS+RklsjJLJGTWaKyTmZbfxvrZJZomE+mhq8VfjJrnMwSOZklcjJL5GSWyMkskZNZIiezRE6mhm/Q/GTWVLzhKzHgq/GTWSINH/Oh4QOYn/QhfHvttVesHUZPPfVU/eiNTGzno/ief/75AT9I95prrokROWp3cfH6xNprrx2bu0TcIBZp+CquK/7qr+GradMfqjV8Q9Hum2Ens0ROZomczBI5mSUq62S29bexTmaJhvlkavha4SezxskskZNZIiezRE5miZzMEjmZJXIyS+RkavgGzU9mTZUbvnIDvho/mSXS8DEfGj6A+ZmYPITvySefjLXDa6+99orvYCBtfRTfJZdcEodJrLrqqrE50w9+8IPYReKQQw6JzV0ibhCLNHwV1xV/9dfw1bTpD9UavqFo982wk1kiJ7NETmaJnMwSlXUy2/rbWCezRMN8MjV8rfCTWeNklsjJLJGTWSIns0ROZomczBI5mSVyMjV8g+Yns6ayDV/pAV+Nn8wSafiYDw0fQEPpQ/j23HPPWDvsnnzyyfr30MjEtj2K7ytf+UocI3H44YfH5kyf+cxnYheJX/3qV7G5S8QNYpGGr+Juu+22y9vmpptuisMMzfPPPx97bI+yPmq8G09mbXJbu58vfelLsTlflU9m6ZzMEjmZJXIyS+RklsjJLJGT2d9ll10W75OKDj300BjRgJNZIiezRE5miZzMEjmZJXIyS+RklsjJLJGTWaL2ncxJkybFnUPRKaecEiNa5mSWyMksUdbJnE/DN+9k/vCHk9dd94m1135ywGWddZ48+uhb6iOz+MksUVknM3Z3+eX33ntvrKL7afgAGpqYPIRv+vTpsXYk7LnnnvF9DKR9j+Jbfvnl4xiJW2+9NTZneve73x27SDz99NOxuUtEtVek4YMq22effeJGOXH00UfHZgAAenvnzJkT75OKLrzwwhgBAABQdPfdd8edQ9E999wTI6BK5tPw1QdMndr72c/2brnlwMtWW/X+9rf1gUCH0vABDCx9CN8ee+wRa0fI9OnT699JI+14FN/tt98ee0+sttpqsTnTbbfdFrtIrLPOOrG5e0S1V6ThgyrT8AEANKXhAwAAcmn4IDX/hk/AB6OAhg9gYOlD+Nr0lLsse+yxR3w3A2nHo/i++c1vxt4TBxxwQGzOdPTRR8cuEocddlhs7h5R7RVp+KDKNHwAAE1p+AAAgFwaPkjNp+ET8MHooOEDGED6EL7dd9891o6ov/71r/Xvp5HSH8W3+uqrx64Tl112WWzOtNVWW8UuEoPe2wiKaq9IwwdVpuGD1IEHHrhzP2effXZsBqCqNHwANDJjxoy4cyi65ZZbYgQAVaXhg1Sjhu+66x6bT8C39dYCPugaGj6AAaQP4fvrX/8aa0fa7rvvHt/TQMp9FN+cOXNiv4lFF100Nud7z3veE3tJPPXUU7G5e0S1V6ThgyrT8EFqwoQJ8c8gMWnSpNgMQFVp+ABoZPr06XFVKLrhhhtiBABVpeGD1IAN36c+tdemm/6tT7c3b9l6695bb42XA51PwwfQV/oQvi9/+cuxtgM8/vjj9e+qkRIfxXfrrbfGThPbbLNNbM50yy23xC4Sn/jEJ2JzV4lqr0jDB1Wm4YOUhg+AAb3xxhu7DOTyyy+PEQBUlYYPgEamTp0adw5F9913X4yAKunf8H3yk/sutdQtY8fO7JPu1RcBH3QdDR9AX+lD+B577LFY2xl22223+M4GUuKj+E488cTYaeKss86KzZmOOeaY2EXi0EMPjc1dJaq9Ig0fVJmGD1IaPgAAIIuGDwCgFX0avrcCvluXXPK2ARs+AR90Iw0fQEH6EL7ddtst1naMxx57rP69NVLWo/h23HHH2GPi6aefjs2Ztt1229hF4tJLL43NXSWqvSINH1SZhg9SGj4AACCLhg8AoBVpwzcv4Buw4RPwQZfS8AEUpA/he/TRR2NtJ9l1113j+xtIWY/i+9jHPhZ7nGuxxRaLbfmWWmqp2EviySefjM1dJaq9Ig0fVJmGD1IaPgAAIIuGDwCgFfMavjTg69/wCfige2n4AP5X+hC+XXfdNdZ2mEcffbT+HTZSyqP43v72t8fu5lpllVViW6abb745dpFYb731YnO3iWqvSMMHVabhg5SGDwAAyKLhAwBoRb3h6xPw9Wn4ujHgmzatd9Kk3u98p/fCC2MNVJaGD+B/pQ/he+SRR2Jt59lll13iuxzI0B/F9/jjj8e+EmPHjo3NmY499tjYReKQQw6Jzd0mqr0iDR9UmYYPUho+AAAgi4YPAKAVPT09n/rUXmm9V1/Shu+mm2Jwt/j//r/4zuvLV7/aO3NmbIIK0vABhPQhfDvvvHOs7UiPPPJI/ftsZIiP4ps8eXLsKLHjjjvG5kyf+9znYheJSy65JDZ3m6j2ijR8UGUaPkhp+AAAgCwaPgCAVvzmN7cvu+zkPgFfbZnX8P32tzGyW1x/fSHgqy//5//EVqggDR9ASB/C9/DDD8faTrXzzjvH9zqQIT6Kb/r06bGjxEEHHRSbMy277LKxi8QQnxQ4gqLaK9LwQZVp+CCl4QMAALJo+AAAWnHyyff2qffqy9ixM7vxI3R/+9verbbqG/DVlxdeiDFQNRo+gP+RPoRvwoQJsbaDPfzww/XvtpEhPorvXe96V+xorq985SuxLccZZ5wRr0+sv/76sbkLRbVXpOGDKtPwQUrDBwAAZNHwAQC04nvf+0ufeq++jB07s+s+QnfAJ/DNWx57LIZB1Wj4AP5H+hC+yV1iwoQJ8R0PZIiP4lt77bVjR3N95jOfiW0te/rppz/0oQ/F6xMHH3xwjOhCUe0VafigyjR8kNLwAQAAWTR8AACt+OUv/9in3qsvP/95l336We1dXp9oL1123z2GQQVp+AAKD+EbTYbyKL4jjzwy9jLXqquuGtta1qgyvPjii2NEF4pqr0jDB1Wm4YOUhg8AAMii4QMAaEVPT88663y7T8C33nqHTJs2LUZ0g+uu6xvtpcu4cb2PPhojoYI0fACFh/CNJkN5FN+f/vSn2Mtc73rXu2Jbaw4//PB4ZT9//etfY1AXimqvSMMHVabhg5SGDwAAyKLhAwBoRU9PT+090n/8x4Ef+MAVSy11yworXLrhhrvX1nRRw3f99b1bbdW325u3jBvX+5e/xEioJg0fUHWj9SF8dUN5FN8666wTe5nrxz/+cWxr5qSTTorX9LPeeuvFoO4U1V6Rhg+qTMMHKQ0fAACQRcMHANCKesPXX7c0fPMP+D73OQEfaPiAyhutD+GrG8qj+K655prYy1wbbrhhbJuvn/3sZ/Xx73nPe+r/kTrooINiXHeKaq9IwwdVpuGDlIYPAADIouEDAGhFVzd8TQO+KVNiJFSZhg+otNH9EL66oTyK7/jjj4+9zPXTn/40tg3kD3/4wxe+8IX6yA033HCttdaq/3fq5z//eYzuTlHtFWn4oMo0fJDS8AEAAFk0fAAArejehk/ABy3S8AGVNrofwle39NJLP/vss/H/cL5dd901djTXAQccENsSd91112GHHbbQQgvVx+y///7PPPPMO97xjvqXqccffzxe052i2ivS8EGVafggpeEDAACyaPgAAFrRpQ2fgA9ap+EDKm2VVVaJsmxU+8lPfhL/Dw/KMcccs/jii8e+3rLEEkuMGTNm77333muvvdZff/13vetdsWGBBZZbbrkzzjij9qpzzjknViU+8YlP1PfZvaLaK9LwQZVp+CCl4QMAALJo+AAAWtGNDZ+AD7Jo+IBKmzhx4vjx48eMXttvv33t/8eXX345/h8erPvuu2+XXXaJEK+B9ddf/7TTTnvhhRfqLxk3blxsSHz1q1+tb+1eUe0VafigyjR8kNLwAQAAWTR8AACt6LqGT8AHuTR8ALTqN7/5zXnnnXfMMccccMAB9fZxp512OuKII/7rv/7ruuuui0Fveeyxx97+9rdHuJe4vvZmrctFtVek4YMq0/BBSsMHAABk0fABALSiuxo+AR8MgoYPgPL98Ic/jGovse6668bmbhbVXpGGD6pMwwcpDR8AAJBFwwcA0IouavgEfDA4Gj4AyrfFFltEuJc49thjY3M3i2qvSMMHVabhg5SGDwAAyKLhAwBoRbc0fAI+GDQNHwAlmzJlSlR7iYUXXrgzn+ScK6q9Ig0fVJmGD1IaPgAAIIuGDwCgFV3R8An4YCg0fACUbOLEiRHuJXbcccfY3OWi2ivS8EGVafggpeEDAACyaPgAAFrR+Q2fgA+GSMMHwP+66qqr9txzzzFjxuy0004TJ06MtZlWWWWVCPcSF198cWzuclHtFWn4oMo0fJDS8AEAAFk0fAAArejwhk/AB0On4QPgf9x///077bRTBHdzbb/99rG5ZRdddFG8OPGpT30qNne/qPaKNHxQZRo+SGn4AGhkxkBmzpwZmwGoKg0fAI289tprcedQVFsfI6BKOrnhE/BBKTR8APyPjTbaKIK7oj/96U8xojXjxo2LV8614IIL3nTTTbG5+0W1V6ThgyrT8EFKwwfAgObMmRNXhaILL7wwRgBQVRo+ABq5++6746pQdM8998QIqJKObfgEfFAWDR8Avccee2wEd/1kfaLub3/723hZ4qijjorNo0JUe0UaPqgyDR+kNHwADEjDB0AjGj4AGtHwQaozGz4BH5RIwwdA7+qrrx7BXT9nn312DGrBZpttFi+ba/PNN49to0VUe0UaPqgyDR+kNHwADEjDB0AjGj4AGtHwQaoDGz4BH5RLwwdQda+99to//uM/RnPXz1133RXjmjn55JPjNXO9853vvOOOO2LzaBHVXpGGD6pMwwcpDR8AA9LwAdCIhg+ARjR8kOq0hm/+Ad9nPyvgg2waPoCqu/fee6O562fs2LExqJkHHnjgve99b7xsrhNOOCE2jyJR7RVp+KDKNHyQOuuss07u5/rrr4/NAFSVhg+ARl588cW4cyiaOnVqjACgqjR8kOqohq9pwNfyU2KA/6XhA6i6P/zhD9HcFb3zne9s/S5o3Lhx8bK5jjrqqNg2ukS1V6ThgyrT8AEANKXhAwAAcmn4INU5Dd811wj4oC00fABVN2PGjMjuErU3fJdffnmMaKZ/wHfiiSfGtlEnqr0iDR9UmYYPAKApDR8AAJBLwwepDmn4rrmmb7SXLgI+GAoNHwC99Y/B3WabbSZNmvSLX/wi6wPv+gd8p59+emwbjaLaK9LwQZVp+AAAmtLwAQAAuTR8kOqEhk/AB22l4QOg9+CDD67ndyeccEKsak3/gO+cc86JbaNUVHtFGj6oMg0fAEBTGj4AACCXhg9SI97wCfig3TR8APReddVVkeAtsMAdd9wRa+frsssuW2+99eI1b1lppZWq8NeXqPaKNHxQZRo+AICmNHwAAEAuDR+kRrbhE/DBMNDwAfA/LrroonqKt8wyyxxzzDGzZs2KDf3cd999u+yyS33wPAceeOBTTz0VI0a1qPaKNHxQZRo+AICmNHwAAEAuDR+kRrDhE/DB8NDwARDmZXw1H/vYx4455piLL774rrvumjVrVu3N3+WXX/69731vxx13XHzxxWPQWzbZZJMbbrghdlEBUe0VafigyjR8AABNafgAAIBcGj5IjVTDJ+CDYaPhA+B/3XbbbV/84hejzmtm2223/fGPfxyvrIyo9oo0fFBlGj4AgKY0fAAAQC4NH6RGpOET8MFw0vAB0Nc111xTe8O30korLbzwwtHrvWWRRRb513/91zFjxpx66qkzZsyI0RUT1V6Rhg+qTMMHANCUhg8AAMil4YPU8Dd8Aj4YZho+AObnscceu/XWW2u3Q88991ysqrao9oo0fFBlGj4AgKY0fAAAQC4NH6SGueET8MHw0/ABQIao9oo0fFBlGj4AgKY0fAAAQC4NH6SGs+ET8MGI0PABQIao9oo0fFBlGj4AgKY0fAAAQC4NH6SGreET8MFI0fABQIao9oo0fFBlGj4AgKY0fAAAQC4NH6SGp+ET8MEI0vABQIao9oo0fFBlGj4AgKY0fAAAQC4NH6SGoeGbf8C37bYCPmgvDR8AZIhqr0jDB1Wm4QMAaErDBwAA5NLwQardDV/TgO8Pf4iRQJto+AAgQ1R7RRo+qDINHwBAUxo+AAAgl4YPUm1t+AR80Ak0fACQIaq9Ig0fVJmGDwCgKQ0fAACQS8MHqfY1fAI+6BAaPgDIENVekYYPqkzDBwDQlIYPAADIpeGDVJsaPgEfdA4NHwBkiGqvSMMHVabhAwBoSsMHAADk0vBBqh0Nn4APOoqGDwAyRLVXpOGDKtPwAQA0peEDAAByafggVXrDJ+CDTqPhA4AMUe0VafigyjR8AABNafgAAIBcGj5IldvwXXFF32gvXQR8MCI0fACQIaq9Ig0fVJmGDwCgKQ0fAACQS8MHqRIbPgEfdCYNHwBkiGqvSMMHVabhAwBoSsMHAADk0vBBqqyGT8AHHUvDBwAZotor0vBBlWn4IHXjjTde28+UKVNiMwBVpeEDoJFZs2bFnUPRE088ESMAqCoNH6RKafgEfNDJNHwAkCGqvSINH1SZhg9SEyZMiH8GiUmTJsVmAKpKwwdAI9OnT4+rQtENN9wQIwCoKg0fpIbe8An4oMNp+AAgQ1R7RRo+qDINH6Q0fAAMSMMHQCMaPgAa0fBBaogNn4APOp+GDwAyRLVXpOGDKtPwQUrDB8CA3nzzzesGkvWJPwCMSho+ABp57rnn4s6hqLY+RkCVDKXhE/BBV9DwAUCGqPaKNHxQZRo+SGn4AACALBo+AIBWDLrhE/BBt9DwAUCGqPaKNHxQZRo+SGn4AACALBo+AIBWDK7hE/BBF9HwAUCGqPaKNHxQZRo+SGn4AACALBo+AIBWDKLhm3/At802Aj7oLBo+AMgQ1V6Rhg+qTMMHKQ0fAACQRcMHANCK3IavacB3220xEugQGj4AyBDVXpGGD6pMwwcpDR8AAJBFwwcA0Iqshk/AB91IwwcAGaLaK9LwQZVp+CCl4QMAALJo+AAAWtF6wyfggy6l4QOADFHtFWn4oMo0fJDS8AEAAFk0fAAArWix4RPwQffS8AFAhqj2ijR8UGUaPkhp+AAAgCwaPgCAVrTS8An4oKtp+AAgQ1R7RRo+qDINH6Q0fAAAQBYNHwBAK5o2fAI+6HYaPgDIENVekYYPqkzDBykNHwAAkEXDBwDQivk3fAI+GAU0fACQIaq9Ig0fVJmGD1IaPgAAIIuGDwCgFfNp+AR8MDpo+AAgQ1R7RRo+qDINH6Q0fAAAQBYNHwBAKxo1fGed9WSfaC9dBHzQRTR8AJAhqr0iDR9UmYYPUho+AAAgi4YPAKAVAzZ8a6/9nbFjZ/bp9uYtAj7oLho+AMgQ1V6Rhg+qTMMHKQ0fAACQRcMHANCK/g3fWmsdteSStzVq+AR80HU0fACQIaq9Ig0fVJmGD1IaPgAAIIuGDwCgFX0avnrA16jhE/BBN9LwAUCGqPaKNHxQZRo+SGn4AACALBo+AIBWpA3fvIBvwIZPwAddSsMHABmi2ivS8EGVafggpeEDAACyaPgAAFoxr+FLA77+DZ+AD7qXhg8AMkS1V6ThgyrT8EFKwwcAAGTR8AEAtKLe8PUJ+Po0fFtv3X0B369/3bv77r3jxvV++9u9Tz4ZK6GaNHwAkCGqvSINH1SZhg9SGj4AACCLhg8AoBU9PT3rrDOxT8BXW9KG7+abY3C3OOWU+M7ry/jxvY88EpuggjR8AJAhqr0iDR9UmYYPUho+AAAgi4YPAKAVv/rVH/rUe/VlXsPXdQHfyScXAr76sscesRUqSMMHABmi2ivS8EGVafggpeEDAACyaPgAAFrxgx/c16feqy9jx87ceusuC/jefLP3pJP61nvzlunTYxhUjYYPADJEtVek4YMq0/BBSsMHAABk0fABALTiuOOm9qn36stGG80cTQFfbXnhhRgJVaPhA4AMUe0VafigyjR8kNLwAQAAWTR8AACtuPbaO5Ze+uY+AV9t+fnPn4gRXWLSpL7RXroccUQMgwrS8AFAhqj2ijR8UGUaPkhp+AAY0BtvvHHSQG6//fYYAUBVafgAaOSxxx6LO4eixx9/PEZAlfT09HziE1/vE/Ctt94h06ZNixHd4JRT+kZ76TJuXO+TT8ZIqCANHwBkiGqvSMMHVabhg5SGD4ABzZkzJ64KRRdeeGGMAKCqNHwANHL33XfHVaHonnvuiRFQJT09PbWf///4jwM/8IErllrqlhVWuHTDDXevremWhq/pR+iOG9d7//0xGKpJwwcAGaLaK9LwQZVp+CCl4QNgQBo+ABrR8AHQiIYPUvWGr7+uaPgEfNAKDR8AZIhqr0jDB1Wm4YOUhg+AAWn4AGhEwwdAIxo+SHVvwyfggxZp+AAgQ1R7RRo+qDINH6Q0fAAMSMMHQCMaPgAa0fBBqksbPgEftE7DBwAZotor0vBBlWn4IPXss88+3c/LL78cmwGoKg0fAI3UrhFx51A0e/bsGAFAVWn4INWNDZ+AD7Jo+AAgQ1R7RRo+qDINHwBAUxo+AAAgl4YPUt3Y8An4IIuGDwAyRLVXpOGDKtPwAQA0peEDAAByafgg1XUN32mn9Y320kXAB/1p+AAgQ1R7RRo+qDINHwBAUxo+AAAgl4YPUt3V8An4YBA0fACQIaq9Ig0fVJmGDwCgKQ0fAACQS8MHqS5q+AR8MDgaPgDIENVekYYPqkzDBwDQlIYPAADIpeGDVLc0fAI+GDQNHwBkiGqvSMMHVabhAwBoSsMHAADk0vBBqisaPgEfDIWGDwAyRLVXpOGDKtPwAQA0peEDAAByafgg1fkNn4APhkjDBwAZotor0vBBlWn4AACa0vABAAC5NHyQ6vCGT8AHQ6fhA4AMUe0VafigyjR8AABNafgAAIBcGj5IdXLDJ+CDUmj4ACBDVHtFGj6oMg0fAEBTGj4AACCXhg9SHdvwCfigLBo+AMgQ1V6Rhg+qTMMHANCUhg8AAMil4YNUZzZ8Aj4okYYPADJEtVek4YMq0/ABADSl4QMAAHJp+CDVgQ2fgA/KpeEDgAxR7RVp+KDKNHwAAE1p+AAAgFwaPkh1WsM3/4Dv858X8EE2DR8AZIhqr0jDB1Wm4QMAaErDBwAA5NLwQaqjGr6mAd+IfsAvdCsNHwBkiGqvSMMHVabhAwBoSsMHAADk0vBBqnMaPgEftImGDwAyRLVXpOGDKtPwAQA0peEDAAByafgg1SENn4AP2kfDBwAZotor0vBBlWn4AACa0vABAAC5NHyQ6oSGT8AHbaXhA4AMUe0VafigyjR8AABNafgAAIBcGj5IjXjD91//1TfaSxcBHwydhg8AMkS1V6ThgyrT8AEANKXhAwAAcmn4IDWyDZ+AD4aBhg8AMkS1V6ThgyrT8AEANKXhAwAAcmn4IDWCDZ+AD4aHhg8AMkS1V6ThgyrT8AEANKXhAwAAcmn4IDVSDZ+AD4aNhg8AMkS1V6ThgyrT8AEANKXhAwAAcmn4IDUiDZ+AD4aThg8AMkS1V6ThgyrT8AEANKXhAwAAcmn4IDX8DZ+AD4aZhg8AMkS1V6ThgyrT8EHqwAMP3Lmfs88+OzYDUFUaPgAamTFjRtw5FN1yyy0xAoCq0vBBapgbPgEfDD8NHwBkiGqvSMMHVabhg9SECRPin0Fi0qRJsRmAqtLwAdDI9OnT46pQdMMNN8QIAKpKwwep4Wz4BHwwIjR8AJAhqr0iDR9UmYYPUho+AAb0xhtv7DKQyy+/PEYAUFUaPgAamTp1atw5FN13330xAqpk2Bo+AR+MFA0fAGSIaq9IwwdVpuGDlIYPAADIouEDAGjF8DR8Aj4YQRo+AMgQ1V6Rhg+qTMMHKQ0fAACQRcMHANCKYWj4BHwwsjR8AJAhqr0iDR9UmYYPUho+AAAgi4YPAKAV7W74BHww4jR8AJAhqr0iDR9UmYYPUho+AAAgi4YPAKAVbW34BHzQCTR8AJAhqr0iDR9UmYYPUho+AAAgi4YPAKAV7Wv4BHzQITR8AJAhqr0iDR9UmYYPUho+AAAgi4YPAKAVbWr4BHzQOTR8AJAhqr0iDR9UmYYPUho+AAAgi4YPAKAV7Wj4fvzjvtFeumy/vYAPhpWGDwAyRLVXpOGDKtPwQUrDBwAAZNHwAQC0ovSGr2nA98gjMRIYHho+AMgQ1V6Rhg+qTMMHKQ0fAACQRcMHANCKchs+AR90IA0fAGSIaq9IwwdVpuGDlIYPAADIouEDAGhFiQ2fgA86k4YPADJEtVek4YMq0/BBSsMHAABk0fABALSirIZPwAcdS8MHABmi2ivS8EGVafggpeEDAACyaPgAAFpRSsMn4INOpuEDgAxR7RVp+KDKNHyQ0vABAABZNHwAAK0YesMn4IMOp+EDgAxR7RVp+KDKNHyQ0vABAABZNHwAAK0YYsMn4IPOp+EDgAxR7RVp+KDKNHyQ0vABAABZNHwAAK0YSsMn4IOuoOEDgAxR7RVp+KDKNHyQ0vABAABZNHwAAK0YdMMn4INuoeEDgAxR7RVp+KDKNHyQ0vABAABZNHwAAK0YXMMn4IMuouEDgAxR7RVp+KDKNHyQ0vABAABZNHwAAK0YRMMn4IPuouEDgAxR7RVp+KDKNHyQ0vABAABZNHwAAK3IbfgEfNB1NHwAkCGqvSINH1SZhg9SGj4AACCLhg8AoBVZDZ+AD7qRhg8AMkS1V6ThgyrT8EFKwwcAAGTR8AEAtKL1hk/AB11KwwcAGaLaK9LwQZVp+CCl4QMAALJo+AAAWtFiw3f++X2jvXQR8EEn0/ABQIao9oo0fFBlGj5IafgAAIAsGj4AgFa00vD9/Od9o710EfBBh9PwAUCGqPaKNHxQZRo+SGn4AGhkxkBmzpwZmwGoKg0fAI289tprcedQVFsfI6BKmjZ8Aj7odho+AMgQ1V6Rhg+qTMMHKQ0fAAOaM2dOXBWKLrzwwhgBQFVp+ABo5O67746rQtE999wTI6BK5t/wCfhgFNDwAUCGqPaKNHxQZRo+SGn4ABiQhg+ARjR8ADSi4YPUfBo+AR+MDho+AMgQ1V6Rhg+qTMMHKQ0fAAPS8AHQiIYPgEY0fJBq1PCdeupTfaK9dNlxRwEfdA0NHwBkiGqvSMMHVabhg5SGD4ABafgAaETDB0AjGj5IDdjwrbnm0WPHzuzT7c1bdtyx9/HH4+VA59PwAUCGqPaKNHxQZRo+SJ111lkn93P99dfHZgCqSsMHQCMvvvhi3DkUTZ06NUYAUFUaPkj1b/jWXPPoJZe8rVHDJ+CDrqPhA4AMUe0VafigyjR8AABNafgAAIBcGj5I9Wn46gFfo4ZPwAfdSMMHABmi2ivS8EGVafgAAJrS8AEAALk0fJBKG755Ad+ADZ+AD7qUhg8AMkS1V6ThgyrT8AEANKXhAwAAcmn4IDWv4UsDvv4NXzcGfM880/vAA72vvhpfQmVp+AAgQ1R7RRo+qDINHwBAUxo+AAAgl4YPUvWGr0/A16fh67qA7803e087Lb758eP/p+SDKtPwAUCGqPaKNHxQZRo+AICmNHwAAEAuDR+kenp61llnYp+Ar7bMa/h22KH30UdjcLc46aQI+OrLdtv1PvJIbIIK0vABQIao9oo0fFBlGj4AgKY0fAAAQC4NH6R+9as/9Kn36ku94RsFAV992WOP2AoVpOEDgAxR7RVp+KDKNHwAAE1p+AAAgFwaPkj94Af39an36svYsTO78SN0Tzihb703b5k+PYZB1Wj4ACBDVHtFGj6oMg0fAEBTGj4AACCXhg9Sxx03tU+9V1+23vrl0RTw1ZYXXoiRUDUaPgDIENVekYYPqkzDBwDQlIYPAADIpeGD1HXX3bHsspP7BHzLLPP/3Xprl32G7oAfoTtv+T//J4ZBBWn4ACBDVHtFGj6oMg0fAEBTGj4AACCXhg9SPT09n/rUXsssc+O8gO9977vu05/eedq0aTGiG8z/CXx77dU7c2aMhArS8AFAhqj2ijR8UGUaPgCApjR8AABALg0fpHp6emo//5ts8oWPfezUD33o/NVWO3HzzT9XW9MtDd+bb/Z+//t9o7102XPP3hdfjMFQTRo+AMgQ1V6Rhg+qTMMHANCUhg8AAMil4YNUveHrrysaPgEftELDBwAZotor0vBBlWn4AACa0vABAAC5NHyQ6t6GT8AHLdLwAUCGqPaKNHxQZRo+AICmNHwAAEAuDR+kurThE/BB6zR8AJAhqr0iDR9UmYYPAKApDR8AAJBLwwepbmz4BHyQRcMHABmi2ivS8EGVafgAAJrS8AEAALk0fJDquoZPwAe5NHwAkCGqvSINH1SZhg8AoCkNHwAAkEvDB6nuavgEfDAIGj4AyBDVXpGGD6pMwwcA0JSGDwAAyKXhg1QXNXwCPhgcDR8AZIhqr0jDB1Wm4QMAaErDBwAA5NLwQapbGj4BHwyahg8AMkS1V6ThgyrT8AEANKXhAwAAcmn4INUVDZ+AD4ZCwwcAGaLaK9LwQZVp+AAAmtLwAQAAuTR8kOr8hk/AB0Ok4QOADFHtFWn4oMo0fAAATWn4AACAXBo+SHV4wyfgg6HT8AFAhqj2ijR8UGUaPgCApjR8AABALg0fpDq54RPwQSk0fACQIaq9Ig0fVJmGD1I33njjtf1MmTIlNgNQVRo+ABqZNWtW3DkUPfHEEzECgKrS8EGqYxs+AR+URcMHABmi2ivS8EFZnn322UcffTS+KNVjjz320EMPxRel0vBBasKECfHPIDFp0qTYDEBVafgAaGT69OlxVSi64YYbYgQAVaXhg1RnNnwCPiiRhg8AMkS1V6Thg1Jce+21C7xlrbXWOuKII2q3o7FhCKZMmXLMMcdstNFGtd0uv/zysbZUGj5IafgAGJCGD4BGNHwANKLhg1QHNnwCPiiXhg8AMkS1V6Thg1L88Ic/rDd886y66qqHHXbYn/70pxjRsilTpkycOHGttdaKHb3lP//zP2NzqTR8kNLwATCgN99887qBjPgn/tCNJs8VXwNdTsMHQCPPPfdc3DkU1dbHCKiSTmv4BHxQOg0fAGSIaq9IwwelmDhxYtR2/XzkIx/53Oc+t99++x199NHnnXfe9ddfP3Xq1JfeUvuP2pe1lbVNtQG1Yausskq8rOgnP/lJHKlUGj5IafgYfs8+++ydd95511131S4KsQqAUe1jH/tY/R3+SSedFKuAbqbhYzjNnj37qaeeuv/++++4445bbrnlgQceeFFcAECX6KiGr2nAt88+Aj7IpuEDgAxR7RVp+KAU82n4hq628zhM2TR8kNLw0W6vv/766aefXpt7t95669VWW23RRReNif4tyyyzzJgxY2o/h7Vp/4knnojXADCKPPXUU+94xzvq0/6KK67461//OjYAXUvDxzCo3R2cccYZa6yxRv0K0sfCCy/8/ve/f6211vra1772l7/8JV4DAB2mcxq+VgK+l1+OwUDrNHwAkCGqvSINH5SifQ1f+wK+Gg0fpDR8tM9LL710wgknrLrqqjG5N7P00ksr+QBGn1tuuSUm+rlqE37t/UZtzj/33HNvvvlmMz90HQ0fbXXllVduv/32cc1oTe3H7/zzz3/llVdiFwDQGTqk4XvjDQEftIuGDwAyRLVXpOGDUrSj4Xv7299+/PHHxwHaQ8MHKQ0f7fDUU08dddRRK664Ykzub1lkkUVWW2217bbb7ogjjjjvvPOuvvrqM888s/bfX/jCF9Kna9RLvtgRAN3v3HPPjSl+hMT3AZRHw0eb3HTTTZ///Odj+n7L2LFjd9ppp8MPP7x2l/qLX/wivYlYc801Y9BcH/jAB374wx/GvgCoqkceeWTy5Ml/+ctfOuGz1zuh4Xvjjd6jjuob7aWLgA+Gwi8dACBDVHtFGj4oxf/P3n3AS1Xeif+//zWxRRN0QzBYgiWWEI29JCbB3hLEgmCJS9RgW3t0MWqCZtWs0Ri7qEjA7hqJi2IJys9YQMSaINYYBbEANkSxhf8s5wt77tx7mXbmzsyd9/t1Xnkx8zzzzM0BnrmH+3Em84Zv2223ffjhh2P1qtHwQZqGj8xdfvnlK6+8cuzsCyyxxBInnHDCtGnTYkZ78j4n649//GMMANDgfvWrX8XmXgvrrLNOfB1AdjR8VMPPfvaz2LsX/Pc/uZv3339/jHXg5ptv3n333eMxCx122GExDEATmDt37mWXXXb44Yfvtttu66233pJLLhmvBwussMIK3/72t3NDN954Yzygc9W84RPwQbVp+ACgBFHttabhg0xk2/CdcsopsW6VafggTcNHtnLfZcW2vtB+++03adKkGC5k0SvLv/7rvz711FNxLwCN7IADDkj29poYPHhwfB1AdjR8ZK5///6xcbe05C4KXnjhhRgowoMPPpj32bvf/e53YwyArusf//jHGWeckfcpEIux6aabXnDBBW+//XY8vlPUtuET8EEn0PABQAmi2mtNwweZyKrh22yzzcaMGROLVp+GD9I0fGSoT58+sbMvdPPNN8dY0Ra9uORW+/DDD+NeABrWVlttlWzsNTF58uT4OoDsaPjI1qKAr0ePHjfccEPcW6LjjjsuWSSx3HLLxQAAXc5TTz111FFHdevWLTb9Bbp3796nT58jjjjikksuGT9+/GWXXbbvvvvmXg5ieKFVV111xIgRsVD11bDhE/BB59DwAUAJkmgvj4YPMlFhw/fFL35x//33/5//+Z9YrrNo+CBNw0cmXn311a9+9auxvy9UasA3Z86cF154YezYsYteXy688MIYA6Bhfe1rX0t29c531llnxRcBZErDR4YWBXx9+vR57rnn4t6ynHPOOclSidyfyRgAoAu58cYbe/bsGXv9QieffHIMtzZ9+vTLLrtsl112iXkLddqVQq0aPgEfdBoNHwCUIKq91jR8kIn0WyX169cv7797W4wNN9zw/PPPf+edd2KhzqXhgzQNH5WbNGlS7O8ppQZ8Z511VjwyZZdddolhABrTa6+9Fnt6p8tdocQXAWRNw0dWFgV8yy+//BNPPBH3VuDGG29MFkycf/75MQBAl9D2bQXWXXfdp556KoY79tOf/jQesNDRRx8dY9VUk4ZPwAedScMHACWIaq81DR9kIt3wJfe88847o0ePPvXUU3MXwIMGDdpjjz222267AQMGnHjiiRdffPGYMWNyl9PvvvtuMrlWNHyQpuGjcslrQVqpAd++++4bj2wjZgDQmO65557Y0DtXz549n3nmmfgigKxp+MjEmDFjYtduacnwn2UOOOCAWHSB3LPEAACNbMaMGQMGDIjNfaHjjjsuhotwzDHHxMMWyi0YY1XT+Q2fgA86mX+/BoASRLXXmoYPMtG24WsIGj5I0/BRob59+yavBYuUsaPmvj2LB7cxY8aMmARAAzr//PNjQ+9cf/jDH+IrAKpAw0cmcn9mkk172223jbuy8Nhjjy211FLJyjl77713DADQsKZMmbLBBhvEzr7QVlttFcNFa/s2ftV+x9ZObvgEfND5NHwAUIIk2suj4YNMaPigC9DwUYlLL700eSFYZIsttvjss89iuDgvv/xyPLg9kydPjnkANKBDDz00NvSWlsGDB49Peeihh5566qkXX3zxjTfemFPxz5Eef/zxZZddNnmiI444Iu4FqkPDR+XSb8J3+eWXx70ZGTJkSCy9wAMPPBADADSgKVOm9O7dO/b0lJdffjlmFO2dd95Zd9114/ELdOvWLZMPc+9IZzZ8Aj6oCQ0fAJQgqr3WNHyQCQ0fdAEaPso2bty45FUg7b//+79juGgTJ06MB7fnsccei3kANKDtt98+2c/32muvuKs6dthhh+SJNt1003fffTfuBapDw0flcn9gkn07J/N44vHHH4+lFzjkkENiAIAGtOOOO8aGnjJixIgYLtHll18eSyzUr1+/GKuCTmv4BHxQKxo+AChBEu3l0fBBJjR80AVo+CjPq6++mvcfLufst99+MVyK6dOnx+PbM23atJgHQANaffXVk/38oYceiruqIP2RWPfcc0/cC1SNho8Kvfbaa7Frt7R079497s3Op59+uujNWXPWW2+9GACg0VxxxRWxm6f84Ac/iOGybLPNNrHQQtX7RN3OafgEfFBDGj4AKEFUe61p+CATGj7oAjR8lGfPPfdMXgLSHnnkkRguUe5PXSzR2lprrfXxxx/HJAAaULKfd+vWLW5XwT333JM8S85//ud/xr1ANWn4qNBf/vKX2LhbWjbaaKO4N1O5ZeMJWlq++MUvfvrppzEAQOOYPXv2OuusE7t5yu9///uYUZbbbrstFlpo1VVXffvtt2M4U53Q8An4oLY0fABQgqj2WtPwQSY0fNAFaPgow5133pns/2nf+973Yrh0M2fO3GSTTWKhlHHjxsUMABrQq6++muzn2267bdyVtTlz5iyqNPr27Rv3AlWm4aNCI0aMSLbuRO5yIAayc8ABB8TqCzz33HMxAEDj+MUvfhH7eMpyyy2Xu9CIGWV54403Yq2UCy64IIYzVe2GT8AHNafhA4ASRLXXmoYPMqHhgy5Aw0cZ9t5772T/Tzv77LNjuCzPPPPMmWeeud122yWrDR48ePLkyTEGQGNa1HznLhzirqzlru6Tp1hppZX+9re/xb1AlWn4qNBpp52W7N6JP/7xjzGQnSFDhsTqCzz22GMxAECDePzxx5deeunYx1N23333mFGBddddN5ZbaNNNN42xTFW14RPwQT3Q8AFACaLaa03DB5nQ8EEXoOGjVPfdd1+y+eeZPn16zACABc4999zkNaJK76t6ww03JOvnXH311XEvUH0aPiq03377xfa9wMEHHxwD2Um/D99SSy0V9wLQONp9E76ck046KWZUYMCAAbFcyo033hjD2alewyfggzqh4QOAEkS115qGDzKh4YMuQMNHqfbff/9k80/bcccdYxgAFvrpT3+avEzMmDEj7srOyy+/vOqqqybrH3rooXEv0Ck0fFRo5513TjbwRe64444Yy0ifPn1i6Ub7ZysAEr179459vLURI0bEjAr813/9VyyXsttuu8VwdqrU8An4oH5o+ACgBFHttabhg0xo+KAL0PBRkocffjjZ+fPccMMNMQMAFtp8881zrxGbbbZZ3M7UwIEDk9egjTbaaPbs2XEv0Ck0fFTosMMOS/bwRbbddtsYy8iaa64ZS7e0/PznP497AWgQ48ePj028jSeeeCImVWD06NGxXGu5540ZGalGwyfgg7qi4QOAEkS115qGDzKh4YMuQMNHSQ4++OBk58/z0ksvxQwAWOhLX/pS7jXipz/9adzOzoUXXpi8AOXceeedcS/QWTR8VOjss8+OTTzl1FNPjeGKTZ8+famllop1W1pGjRoVAwA0iCOOOCI28TZiRmWeeeaZWK61zD/ePfOGr2DAd8wxAj7oVBo+AChBVHutafggExo+6AI0fBTvH//4R7Lt5/niF78YMwAgZfxCcTsjkyZNWnbZZZPXoNNPPz3uBTqRho8K3XDDDck2nueoo46KGZU5+eSTY8WWltVWWy33JzYGAGgQ3bt3j328tS996UsxozKfffZZrNja6quvHjMykm3DV0zAN3duTAY6h4YPAEoQ1V5rGj7IhIYPugANH8UbNWpUsu3n+fa3vx0zAKD6dthhh+QFaLfddou7gM6l4aNCzz33XLKTt3XAAQfMmjUr5pVl6tSpyy+/fCzX0uIffAAazttvvx2beBtf+9rXYlLF0p+6npZ7kYoZWciw4fvsMwEf1CMNHwCUIKq91jR8kIliGr45c+a8+OKLDz300K233nrxxRf/9re/vfvuu1999dUYrgUNH6Rp+CjeIYcckmz7efbaa6+YAXQhn3/++QXtmTRpUsyAWjjttNOSV5/u3bs/9dRTcS/QuTR8VK5Pnz7Jft7Weuut94c//CHmle7II4+MhVpavvWtb83xgYLQuaZNmxZXDq1Nnz49ZkAhHX3QbU6G75PX0SvR9ddfHzOykFXD99ln808/PT/aSx8CPqgVDR8AlCCqvdY0fJCJxTd8d999909+8pNkQlu5v4k77LBD7i/jmDFj4gGdRcMHaRo+irfOOuvEJt7aKaecEjOALuSzzz6LV4XWbrrpppgBne6OO+6I156WliuvvDLuBTqdho/KXXXVVbGhd2Dvvfd+4oknYnbRbr311nj8AhdffHEMAJ3l6aefjleF1v7617/GDChk/PjxsY+3keFnQXTU8J144okxIwuZNHwCPqhnGj4AKEES7eXR8EEmOmr4Ro0ateOOOyZDaeutt966664bN1Jyl6ydWfJp+CBNw0eRFvPfQOe2/ZjUsalTp06ZMuXzzz+P20Dd0/BRb2bPnr3RRhslLz0/+9nP4l6gFjR8VO7NN99Mf+Jtu5ZeeumhQ4fGA4pwzz33LLfccvHglpb+/fvHANCJNHxU7sYbb4ytvI0tttgiJlWso4Zv++23jxlZqLzhE/BBndPwAUAJotprTcMHmWjb8D3xxBM77LBDcmfOJptscthhh1122WUPPfTQos8ueeedd+69995zzz136aWXjnkL5C5cO6fk0/BBmoaPIl188cWxX7fx4IMPxqTWrrrqqoMOOmjLLbdctOEvscQS3/nOdw444IAzzjjjxhtv9Ek6UM80fNSbww8/PHk1yb2UzJw5M+4FakHDRyaOPvroZGNfvE033fTOO++Mx3Rs4sSJPXr0iMcI+KB2NHxU7oILLojdvI12PxGoPB01fP/6r/8aM7JQYcMn4IP6p+EDgBIk0V4eDR9kIq/hGzFixFe/+tXknk022WTYsGHJtI6MGzdupZVWSuYvUtJ/YF0eDR+kafgo0p577hk7dRtTpkyJSQvdddddO+20Uwx37Gtf+9qQIUOef/75eBhQTzR81JWRI0fGi0dLy7XXXhv3AjWi4SMr6623Xmzuhfzbv/3bp59+Gg9r48knn1xzzTVjqoAPakrDR+XOPPPM2NDb6ISGL+e5556LSRWrpOET8EFD0PABQAmi2mtNwweZSDd8xx57bPLrYuq9tM033zx54CLVzvg0fJA2e/bsmW0seuNMWKRbt26xTbcxY8aMmLTAwQcfnNz/r//6r3vvvffPf/7zCy+88E9/+tMNN9wwZMiQnXfeOS/gXm655Y4++ugnn3wyHg/UBw0f9WPatGlrrLFG8qqxxx57xL1A7eReI+LKobV58+bFDCjO5MmTk+29GLnri6uvvjoemXLxxRevuOKKMUnAB7Wm4aNyV155ZezpbWy++eYxqWKLafiuv/76mFSxshs+AR80Cg0fAJQgqr3WNHyQiXTDl/xip512irFSJI9Nq2rGp+EDKNUHH3wQG3R7Pvroo5g3f/5BBx2U3HnggQc+88wzcW8bp556ajJtkX/5l3/phLdiBYqn4aN+DB48OF4tWloeeOCBuBeALuH888+PLb4422yzzbRp0+LB8+cPHDgwBhY46aSTYgCoEQ0flbvttttiW2+jd+/eMalii2n4Tj311JhUsfIaPgEfNBANHwCUIKq91jR8kIlFDV9io402evPNN2OsFPfcc08skVK9kkPDB1CqGTNmxO7cxjLLLBOT5s9P3pN13XXXLSbxya25ySabJIssIuOD+qHho07cfPPN8SLR0pJ7oYl7AehC0lt9kc4666zHH398lVVWidstLbvvvvtDDz0UKwK1o+GjchMnTozNvY3VV189JlVs4403jkXbOOaYY2JSxcpo+AR80Fg0fABQgqj2WtPwQSbSDd/KK6/8t7/9LQZKl/tbGQulVKnk0PABlGrq1KmxNbfRs2fPZE7y1npf+tKXJk6cmNxTjEUfvLuIjA/qhIaPevD222+vv/76yQvEiiuu+Oqrr8YAAF3Lvffeu9VWWyUbfqnWWWedUaNGxUJArWn4qNzf//732OLb6NGjR0yq2De/+c1YtI2DDjooJlWs1IZPwAcNR8MHACVIor08Gj7IxKKG74tf/OJ9990X95bl1Vdf/cpXvpKstsgKK6zw7LPPxozsaPgASrWY/wA6+RCT+++/P7lZRtyTWyF57CIyPqgHGj7qwS9/+ct4bWhp2X///eNeALqiDz/88LjjjotNv2iuHaDeaPio3AcffBC7fBvLL798TKrYSiutFIu20b9//5hUsZIaPgEfNCINHwC0Mnv27Os7FtVea//+7/8ew+2JdYFC3nnnndwF7corr/zHP/4x7qrAbrvtllwhpx1++OExnB0NH0Cp2v3Q88TWW2+dm7Dnnnvmfl3eXvrEE08kS6X5URzUnIaPmnvllVe+9rWvxQtDS8u1114bAwB0XTfccMM3vvGN2PqLs8UWW4wdOzYeD9Saho9MfOc734ldvrUlllgiZlRs2WWXjUXb2HnnnWNSxYpv+AR80KA0fACQ74wzzohve9uIaq+1jTfeOIbbeOSRR2JRoHP913/9V1wit/aXv/wlZmREwwdQqv/+7/+OTbmNPn363HLLLblfrLHGGh9++GE8oETnn39+slraHXfcEcNALWj4qLkhQ4bES8KCD9KdPXt2DADQpU2ZMmWvvfaKF4CiHXXUUa+//nosAdSOho9MnHfeebG/t/HKK6/EpAq8//77sVx7vve978W8ihXZ8An4oHFp+AAg33XXXRff9rYR1V5rHTV8Bx544KxZs2JRoHM9++yzcYnc2l577RUzMqLhAyjV8OHDY1Nuo0+fPt/97ndzvzj55JNjduneeuutpZdeOllwke9973uff/55zAA6nYaP2nrhhRe6desWLwk+SBeg+QwdOjReA4q21lprXXPNNfF4oEY0fGQidzkQm3sbd999d0yqwLhx42K59mywwQYxr2LFNHwCPmhoGj4AyDdx4sT4treNqPZa66jhOz33bTJQO1/+8pfjKrm1Rx99NGZkQcMHUKrf/e53sSO30adPn+QXTz75ZMwuy84775ysk3bGGWfEMNDpNHzU1vHHHx8vBgv4IF2A5nHbbbdtvPHG8QJQuiFDhsRCQC1o+MjKLrvsEjt7a7///e9jRgXOOuusWK49q6++esyrWMGGT8AHjU7DBwD5Zs2adeCBB8Z3vq1FtddaRw3fddddFysCtdC7d++4Sm7tzDPPjBlZ0PABlGox74Gxxhpr5P537733jqnluuSSS5IF05ZeeulHHnkkZgCdS8NHDU2ZMmXZZZeNF4OWli9/+cs+SBegGbz00ksHH3xw7P4LDB8+/NZbb11uueXidnH69u374osvxqJA59LwkZULL7wwtvXWDjvssJhRgT322COWa89Xv/rVmFexxTd8Aj7oAjR8ANCO008/Pb7zbS2qvdY6avgmTpwYywG1sNNOO8VVcmt9+vSJGVnQ8AGU6txzz40duQPDhg2LqeV67LHHYq3Wdt9995gBdC4NHzV01FFHxcvAAjvssEMMANB1XXDBBd27d4+tv6VlhRVWeOGFF2Js/vzDDz88BoqzxhprjB8/Ph4MdCINH1l566231lprrdjWUzL5YcHKK68cy7VnqaWWinkVW0zDJ+CDrkHDBwDtuPbaa+M739ai2mut3YbvJz/5yaxZs2I5oBby/mPrtAzfeEPDB1CqYcOGxXbcgSeeeCKmluuNN96Itdp47rnnYhLQiTR81EruNeULX/hCvAYscOqpp8YYAF3RU089tf3228emv8Buu+0WYykPPvjgN0bCb+oAAP/0SURBVL/5zZhRHP/BNnQ+DR8Zuuyyy2JDb63CHxZcffXVuUXWXHPNZLW2ll566ZhasY4avhde+LuAD7oGDR8AtKOj74Oj2mut3YZv6NChsRZQI4v5rMZrr702JlVMwwdQquuvvz624/b07Nkz5lVmiSWWiBVbO+ecc2IG0Ik0fNTKoYceGi8AC40dOzbGAOhyJk6cmPc2SxdeeGGMteeMM86IeUVYbrnlHnrooXgk0Ck0fGQrL/JOVPjDgu9///u5RRbzw4gePXrE1Iq1+7PLH/1o92OPfTsv2ksfxx8v4IOGoeEDgHbMnj37gAMOiO9/U5JoL0+7Dd8111wTawE1spjPajz66KNjUsU0fAClGjNmTGzH7enXr1/Mq8xqq60WK7b2gx/8IGYAnUjDR0289tprX/7yl+MFYIEll1xy3rx5MQxA1zJ+/Pi8TzO8++67Y6xjEyZMSPKLYnz3u9+dM2dOPBKoPg0f2Ro7dmxs6Cn7779/DJfu5ptvzq2w/vrrL6bhW3vttWN2xdo2fD/60e7rrHPddtvNzev2Fh3HHz//o4/i4UD90/ABQPt+9atfxbfAKVHttdZuw/fwww/HQkCNXH755XGV3Ea7n6JSHg0fQKnGjx8f23F7zjrrrJhXma222ipWbOO1116LSUBn0fBRE5dcckls/Qt9//vfjzEAupaxY8eusMIKsd0vcPPNN8dYEc4555x4WCGHHXZYPAaoPg0fmTv44INjQ0+57rrrYrhEu+yyS+7hN95442Iavs022yxmVyyv4UsCvh49Humo4RPwQcPR8AFA+0aNGhXfBack0V6etg3f/vvvP3v27FgIqJFrr702rpLbWG+99WJSxTR8AKWaPHlybMftGTlyZMyrzE477RQrtnHxxRfHJKCzaPioiR122CG2/oVOO+20GAOgC7n11luXWmqp2OsXOOecc2KsaI8++mjum5N4/GJddtll8RigyjR8VEP//v1jQ19olVVWibFSnHfeebnHbr755rlfL6bh23777ZP5lUs3fD/60e5rr31jjx6PdNTwCfigEWn4AKB9Dz/8cHwjnBLVXmttG75f/epXsQpQO3/605/iKrmNJZdcMiZVTMMHUKrnnnsutuP2jBs3LuZVZs8994wV28jwE9WBImn46HztJuPjx4+PYQC6ihdffLF79+6x0S9wxBFHxFjpfve7333lK1+JhTqw6qqrfvDBB/EAoJo0fFRJ24yvX79+MVacW265JXngVVddlbt53HHHJTfb2muvvZKHVG5Rw5cO+Npt+AR80KA0fADQvrfffnv//fdPvhteJKq91to2fKNGjYpVgCLccccdfRYYNGjQySefHPdWbNy4cXGV3J5XX3015lVGwwdQqhkzZsRe3J6pU6fGvMoccMABsWIbAwYMiElAZ9Hw0flOPfXU2PdTnnnmmRgGoKs44ogjYpdfYIsttoiBcj3xxBMDBw6M5Tpw0UUXxWygmjR8VE/bjO/222+PsUJyrxTJB7ifeOKJyT3tfkRv4qCDDkrmVC5p+PICvrYNXyMGfLNmzX/hhfkffxw3oWlp+ACgQ7/85S+TC8JFotprrW3D99BDD8USwGJNmzZts802i2vZhXr16hXDlbnzzjtjxfZk9Q4cGj6AUr3//vuxF7cnNxrzKjN48OBYsY0+ffrEJKCzaPjofOuvv37s+ylvv/12DAPQJYwfPz62+IWuv/76GKvMb3/721ixPVtuuWXMA6pJw0dVtc34BgwY8OKLL8Zwe+bMmXP22WevvPLKucmDBw+Oe9tbapHjjjsuJlVswoQJbQO+vIav4QK+3Ff7m9/EF7/PPvMfeSTuh+ak4QOADo0cOTKuCBeKaq+1vIZvv/32e+edd2IJoGMff/zxzjvvHBeyre24444xqQJ//OMfY7n2zJgxI+ZVRsMHUIbYi9vzySefxKTKHHvssbFiG+utt15MAjqLho9Odvvtt8emn7LkkkvGMABdRd++fWOXXyB3MwayMHLkyNxrRyzdxqRJk2IeUDUaPqrtjDPO6NWrV+zsCw0dOjR3rfrcc8/FpPnzP/zww9yfxssuu6x3797JnH333TfGFthpp52S+9vKrRaTKjZhwoTeva/MC/hyx6KGr+ECvrlz5x97bAR8i46HH45RaEIaPgDo0IMPPhhXhAtFtddaXsN32mmnxeOBxRo1alRcxban8ivbxaz/la98JSZVTMMHUIYtt9wyduQ23n333ZhUmV/84hexYhsrrLBCTAI6i4aPTnbIIYfEpp+y6qqrxjAAXcI111wTW/xC9957b4xlZNy4causskqs3trJJ58ck4Cq0fDRCd5+++1zzz33W9/6VuzvKSussEKfPn1WW221uL3Auuuue/HFF8eDF9pqq61iuI0HH3wwJlXsuuueyqv3kiNp+H7+8/kffhgzG8LcufOPOy4/4MsdAwfGBGhCGj4A6NC777677777xkXhAlHttZbX8P3hD3+IxwOLdeKJJ8ZVbHsGVnyhdtlll8VabWy++eYxqWIaPoAyLOZN8rJ6n9TFNHzehwk6n4aPzjRnzpyvfvWrsemnbLrppjEDgC5h6623ji1+gUMOOSQGMvXEE098+ctfjudIOfDAA2MGUDUaPjrNvHnzLr300u9973vtXkokVl555bPOOuv999+Px6Qsen++PMsss0zMyMKZZz6XV+8lx3bbzT3hhAYL+D74oJ134Ft0vPJKTINmo+EDgMU59dRT46Jwgaj2Wstr+DL8T2qga9t1113jQrY9e+yxR8wr13nnnRdrtfGTn/wkJlVMwwdQhhtuuCF25DZeeOGFmFSZxWSC3ocJOp+Gj850//33x47f2m677RYzAOgSevbsGVv8AsOGDYuBrJ1zzjnxHCnbbbddDANVo+GjJl566aU77rjjd7/73aGHHtqnT5+jjjrqiiuumDBhwgcffBAz2ujoTVtzf1xjRhYuu2xKXr2XHAcf/G4X+AjdRUffvg32icCQIQ0fACzOiBEjkmvCRFR7raUbvoEDB7733nvxYGCxDj744LiQbc+ll14a88p1xhlnxFptVP5BvYto+ADK8Mwzz8SO3MZTTz0VkyozePDgWLEN78MEnU/DR2c6//zzY8dvLXcBEjMAaHyzZs2K/X2hcePGxVgV7LDDDvE0C6277roxBlSNho9G0e47tub87ne/ixlZeOCBiWuscVtewLfGGqOnTn05ZjSCxQd8uWPkyJgJTUjDBwCL89BDD8VF4QJR7bWWbvhOPfXUeCRQyAUXXBAXsu2ZNGlSzCvXYhrBUaNGxaSKafgg7fjjj/9pGyNGjIhhSFlppZViU25twoQJMaMyBxxwQKzYhvdhgs6n4aMz/eQnP4kdv7Vf/OIXMQOoJ2+99VZcObT20EMPxQxoz6RJk2J/X2j69OkxVgVt3+R1+eWXjzGgajR8NIp4bWjj4YcfjhlZmDBhws4777vmmqMXBXzrrnvtbrvt9fe//z1m1L25c+cff3x+tJc+/GiFJqfhA4DFee+99wYOHBjXhUU0fDIFKN4999wTF7JtDB48OCZV4Pvf/34s18ajjz4akyqm4YO0QYMGxV+DlIsuuiiGIaVv376xKbc2duzYmFGZPffcM1Zsw/swQefT8NGZ1lprrdjxWzvzzDNjBlBPXn/99XhVaO2+++6LGdCe3HcRsb8vsMIKK8RA1ay33nrxZAv06NEjBoCq0fDRECZPnhyvDa317NkzZmRkwoQJyV+BLbf81Xrr/eF73xuS3GyUhq/gO/D95jfzP/88JkNz0vABQAGnnHJK8k1wThLt5Uk3fNn+JzXQtb366qtxLdvahRdeGDMq87WvfS1WbG3//fePGVnQ8EGaho/i/fKXv4x9ubXzzz8/ZlRmp512ihXb8D5M0Pk+//zzg9ozZsyYmAEZ+cc//hHbfRvnnntuTALqiYaP8vzmN7+J/X2BzTffPAaqZq+99oonW2DHHXeMAaBqpk6dGlcOrT377LMxA+rAsGHD4rWhtf79+8eMjCxq+PI0RMNXMOD79a8FfKDhA4BCrr766vguuFDDN2DAgPfffz8eBhRh1VVXzV3KHnrooaNHjx46dOiYMWNmzJgRY5XpKBDMueeee2JSFjR8kKbho3h//OMfY19u7fDDD48Zldlqq61ixTbGjRsXkwDocm699dbY7tvwPQnUJw0f5bn00ktjf19gzTXXjIGqGTp0aDzZAj//+c9jAIDmNnjw4HhtaO2yyy6LGRlp3IavmIDvs89iMjQzDR8AFJD+njiqvdYWNXze0wVKlfuLk7uUXWKJJWbOnBl3ZeSOO+5IrpPz7LrrrjEjIxo+SNPwUbx58+atvfbasTunbLfddjGjMquttlqs2Nryyy8fMwDoik488cTY8du44oorYhJQTzR8lGfMmDGxvy80d+7cGKuOvGccPnx4DADQ3DbZZJN4bUhZc80158yZEzMy0qANn4APiqfhA4ACct9k77PPPsn3wVHttbao4fMPN1CqO++8M7mg/e1vfxt3ZWTQoEHJynluuummmJERDR+kafgoSd77WCRWXXXVGK7MEkssESu2duCBB8YMALqi7373u7HjtzFy5MiYBNQTDR/lmTx5cuzvCz3++OMxVh0jRoyIZ1rgwQcfjAEAmtg777wTLwytDR06NGZkpxEbPgEflETDBwCFnXzyycn3wVHttbao4ct99xwPAIo2YMCA3AXtuuuu++mnn8ZdFXv55Ze/9KUvJZfKaVtuuWXMyI6GD9I0fJTk+eefX3rppWOPTnnnnXdiRrneeOONWKuNESNGxCQAuqLY7ttz4403xiSgnmj4KM+MGTNif1/ohhtuiLHqyHur18w/UwKARnTvvffGC0PKcsst9+KLL8aM7DRcw/fRRwI+KI2GDwAKGz58ePJ9cFR7rSUNX//+/T/44IN4AFC0//f//l9yWXvWWWfFXRU755xzkjXzXH/99TEjOxo+SNPwUaqDDjoo9uiU0aNHx3C5HnvssVirjZdffjkmAdDlvPvuu7Hdt6fy1xegGjR8lG2DDTaILX6BarzjUdquu+4az9TSkruQiXsBaDQzZsy47LLLbr/99jfffDPuqsC5554brw0phx12WAxnqrEavo8+mn/CCfnRXvoQ8EFbGj4AKGzixInJ98FR7bWWNHwnn3xyzAZKtOhzbzN5b6Rp06atv/76yYJpmX9cb0LDB2kaPko1bty42KZTjj322Bgu15VXXhlrtfbzn/88ZgDQFb366qux47dn7NixMQ+oJxo+yvZf//VfscUv0LNnzxkzZsRYFfTq1SueyQfpAjSm3BVB7nuM2MoX2GqrrWbPnh3DZdl8881jrZSHHnoohjPVQA2fgA/Ko+EDgMLmzp3bv3//3PfBUe21ljR8w4cPj9lAiSZNmpRc2S655JLjx4+Pe8u1++67J6ulVZ6DdETDB2kaPsqw/fbbx2a90IYbbhhj5dpzzz1jrZQ111zzjTfeiBkAdEV//etfY9Nvjx4I6pOGj7K99tprX/3qV2OXX6B6b8V3+eWXx3O0tAwcODDuBaBxvPHGG2uttVZs5Sn77rtvzCjdyJEjY5WUPfbYI4az1igNn4APyqbhA4CiDBkyJPd9cBLt5UkavkceeSSmAqVb9F9O9+rVq5KM77jjjkvWSevfv38MV4GGD9I0fJTh6quvjv065cYbb4zh0s2ePXuZZZaJhVIuu+yymAFAF/XQQw/Fpt+eyv97IaAaNHxU4phjjoldfoEqvRXfO++8061bt3iOlpZ77rknBgBoHO3+7CBRdgL+wx/+MJZY6Atf+ML9998fw1lriIZPwAeV0PABQFGGDx+e+z44qr3WNt5447333vvDDz+MqUBZBgwYEJe55V4zX3XVVfH4lJ133jmGq0PDB2kaPsrTr1+/2LUX2nTTTT/++OMYLlHeJ2oldtxxxxgGoOsaO3Zs7Pvt0fBBfdLwUYmnnnqqZ8+esdEvUI234ttmm21i9ZaW3XffPe4FoKFstdVWsZW3ceCBB8akUtx8883x+JSq/mig/hs+AR9USMMHAEWZNGlS7vvgqPZa23jjjf/jP/4j5gEV+OY3vxlXui0tffr0Kf5nbDNnzjzppJPikSmDBw+OGVWj4YM0DR/lef3119Nva5E488wzY7gUY8aMicenrLzyyo899ljMAKDruvHGG2Prb4+GD+qTho8KtU0ofv7zn8dYFkaPHh3rtrT07t17ypQpMQBAQ4mtvD19+vSJSaXYeeed4/EL9e3bN8aqo84bPgEfVE7DBwBF+fDDD/faa6+o9lrbeOONr7766pgHVGaVVVaJ690F9ttvv9tvvz3GOjB8+PB11lknHpBy7733xoxq0vBBmoaPst1www2xfS+0wgorPPPMMzFctJVXXjkev9ASSywxduzYGAagSxs2bFjs/u3R8EF90vBRucsuuyz2+oUOP/zwGKvMiBEjYkUBH0CD69GjR2zobZTxHq5//OMf48ELde/ePcaqpp4bPgEfZELDBwDFOumkk5JoL8/GG2/86KOPxiSgYr/97W/jqnehrbfe+uyzz77uuusmTpw4e/bsN998c9y4ceeff/4RRxyx/fbbx6SUAQMGzJgxI5arMg0fpGn4qMRhhx0W+/hCuT8/06dPj+Ei5ObHI1P+8Ic/xDAAXd0555wTu397NHxQnzR8ZOI///M/Y7tf6Cc/+UmMlevkk0+OtQR8AI1vgw02iD29jVtvvTUmFefRRx/t0aYI7ISPgKjbhk/AB1nR8AFAsUaMGJFEe3k233zzj3LfnwLZuf3229daa6249i3FhhtuWMZ/M1cJDR+kafioUP/+/WNDX6hnz56jR4+O4cU68MAD4zEp55xzTgwD0ATa/udAaU899VTMA+qJho+sTJgwIXb8hTbaaKPcBekHH3wQM4r2yCOPpD8hUcAH0AUMHDgwtvXWSv2BwrvvvrvZZpvFgxc6//zzY7ia6rPhE/BBhjR8AFCsyZMnR7XXWu7745gBZGfmzJlXXHHFrrvuGhfBi9WzZ88jjjii899X489//vMPf/jDNdZYo3v37kst8LWvfW2ttdbae++9H3nkkZgEzUTDR+V+97vfxeaecvLJJ8dwe+666668j2LP+eY3vzlq1KiYUQv33HNP7g//v//7v2+99dbLLbdc7sVi9913z/0fGTFixKRJk2ISAJkaO3ZsvAy0kbt4j0m19sEHH9x2223nnnvuz372sy233PJLX/pScgUxdOjQG264oR4+Bgs6mYaPDL333nttE4211177N7/5zZtvvhmTOvbpp59eeOGF22yzTTxygf3226/TAr73339/9OjRv/71rwcMGPDtb3879+zrr79+7gvI3XPjjTe+/PLLMQ+A0t1yyy3Jxp5YccUV999//2uvvTaGi7bXXnvFEguNGDEixqop9ypw+umnf/Ob3/z617++3HLL5Z73y1/+8qqrrrreeutdccUVuVeQmNe5BHyQLQ0fABRr3rx5ue+Mk24v7bDDDosZQBW89dZbl1xyyRFHHNG3b9+NN964e/fuyyyzzAYbbLDnnnuedNJJV155Zeene7mr5XPOOaftf2yXZ7vttrv44otL+hRIaHQaPjIxfPjw2ElTVl555T322OM3v/nN5MmTP/jggwkTJlxxxRUnnHBC7tUhZqQcfvjhnfah6nmefPLJoUOHfuc734kvpQO77rrriBEjynhHEAAW44UXXoh9to2BAwfGpNqZNGnSiSee2KtXr/ia2rPUUksNGDDgxhtvnDdvXjwMujoNH5k7++yzY1dNyV1Q7L333rl9+NJLLx03btyrr7768ccfv/zyyw8//PAtt9ySu2792c9+tswyy8TsBbbYYov//u//jkWrLPclHXnkkbkvMp67PV/60pdyF9133HFHPAaAUrz99ttrrLFGsqOedNJJcW+Jcg9MVljknnvuibGqye38uf0/9yoQT9me3CtI7nUk92oSj+kUBQO+X/1KwAel0fABQAnWXHPNCPdSzjzzzBgGmsDxxx+/+KvlPMsvv/yJJ54YD4auTsNHVm688ca8d78o0uabb/7HP/4xVulc77777h577BFfR3F69ep18cUXx+MByELue4/YZFsbOXJkzKiFV199tdTXiDXWWOPyyy+Px0OXpuGjGu64446DDz54xRVXjF21RKuvvvpvfvObzzqlO3jsscdyVzHxxMXZbLPNlHwAZbj55ptjJ21pyX1//sorr8RAEf7yl7/ssssu8eAFllpqqQceeCCGq+Phhx8u+FYCeXKvKZ1T8hUT8H36aUwGiqThA4ASbLTRRhHuLbTSSivV9mPagE4zd+7crbfeOi6FS7TrrrvGKtClafjI1oMPPnjcccetttpqsZl2bL311jvppJMefvjheGSne+GFF9ZZZ534akp04IEHxioAVGzmzJmbbLJJ7LALHXPMMTFcC/fcc8/i31dpMY4++uhYBbouDR/V89FHH1199dU77LBD7KpF6Nev3zXXXNM59V7O+PHjl1xyyXjuEg0dOjRWAaBoF154YWyjCz6vPLeX/vWvf42xDsyZM+fkk0+Oxyy0zjrrPProozGjOvI+/Ld4X/jCF3Ivf7FKdQj4oEo0fABQgh/84AfR7i205pprXn/99TEMdF2PP/74UkstFRfBZenVq1esBV2Xho9qmDNnzm233Xbuueceeuih22yzzSqrrLLssstuuOGG++yzz6mnnnrNNdcU/MfWapswYULs9eVad911Yy0AKvbMM88MHTp0iy22WGGFFfbaa69LL700Bmoh941Q7PXlyn03FWtBF6XhoxPMmjXrT3/60wUXXHDCCSfsvffem2++eY8ePZZccslevXpttdVWuReLf//3f8+9XrzzzjvxgE4xcuTI2OvLVQ+fFA/QcK666qrYRhfKXTucffbZ11133QMPPJC8Od+UKVNuvvnmM84449/+7d822mijmLfQ4MGD//a3vyWrVcmJJ54YT1auc845J9bKmoAPqkfDBwAl2G233VZaaaWk3kvkvnfX8EGXN2PGjLjwrUz37t1jReiiNHw0Ia8RAHQk/Vldlch9ixUrQlek4aM5VR55J7xGAJThmWee2XbbbWMnLcXgwYMnT54cq1TN7rvvHs9Xmdz1SKyYHQEfVJWGDwBK8OMf/3ittdaKfG+BH/zgBxo+6PJ69eoVV70VO+KII2JR6Io0fDQhrxEAtOvpp5+O/T0L/uWBLkzDRxO65557Yn/PgtcIgDJ89NFHF1544S677BKbaSGdU+/lnHTSSfGUWchdlcS6WZg3T8AH1aXhA4AS/PjHP95oo40i3+vRY6WVVvrRj37kX0mga8tdnMf1bkb0THRhGj6ajdcIANo1a9as3r17x+aekfHjx8fq0LVo+Gg2r7766sorrxybe0a8RgCU7d13373uuuuOP/74AQMGbL311musscZSSy31jW98Y6eddjr22GOHDRv2l7/8ZebMmTG7ym688cbY2TOSuyrJXZvE6pWZN2/+f/xHq2Iv7xDwQeU0fABQgh//+Mc//OEPo+Dr0WOttdbK3aPhgy5s6NChcbGbqTFjxsQTQNei4aOpVOk14vbbb48nAKBh7bXXXrGtZ2fttdd+/fXX4wmgC9Hw0Wz22GOP2Nmzk3uNePPNN+MJAGhMM2fOXGONNWJnz07u2iSeoAICPugcGj4AKMGPf/zjH/3oRyuttFLS8G200Ua5ezR80IWtvfbacaWbqUwum6EOafhoHm+//fY3vvGN2NYztd9++8VzANCYJkyYEHt61s4666x4DuhCNHw0lWw/RTft/PPPj+cAoDFdccUVsadnLffqE89RFgEfdBoNHwCUIPk3xLXWWitp+H74wx/mbmr4oKu64YYb4hq3Cu6///54GuhCNHw0j/POOy829CrwNkt0SW+1Z+7cuTEMXcjhhx8eG3rW1l57bX9r6Ho0fDSV/fbbL/b0rG222WbxHNCFfPLJJ3Hl0Fru/pgBXUifPn1iT89aJf+9qIAPOpOGDwBKkPwb4sYbb9yjR4+VVlrpRz/6Ue6mhg+6qp133jmucatg0KBB8TTQhWj4aBKfffbZ+uuvHxt6FZx99tnxTNBV5P7WxKtCazfddFPMgC7kK1/5SmzoVXDxxRfH00BXoeGjeUycODF28+qYMGFCPBN0FU8//XS8KrT217/+NWZAV/Hkk0/Gbl4dudegeKZSCPigk2n4AErw9ttvv05z23GBrbbaqnv37quvvnpy89JLL41hoBQzZ86M7bUuzZs3L65uq+a9996LJ4OuQsNHk7j99ttjK6+OLbfcMp4JugoNH83jrrvuit28Orbeeut4JugqXtfw0TROPvnk2M2rY8iQIfFM0FVo+GgeuT08dvPqKOM1QsAHnU/DB1CUZ5555sQTT4yLA5pY8hG6OUsttdRXvvKV5Ncbb7xxDAMlOuqooyZNmhRbbZ15/vnn4+q2aqZMmRJPBl2Fho8mcemll8ZWXh09e/aMZ4KuQsNH87jiiitiN6+O1VZbLZ4JugoNH83jwAMPjN28Oir5qESoTxo+mkf1Pmw9UeprhIAPakLDB1DYG2+8sc8++8SVAc0tifZyvvSlL/3rv/5r8msNH1Toueeeiw23nowbNy6ubqvmrrvuiieDrkLDR5Oo9n8bnfOpfwela9Hw0TxOPfXU2MqrZt68efFk0CVo+Ggeffr0ia28OrxXK12Pho/mkdvDYzevjpJeIwR8UCsaPoDCrr766rgsoOkl0V7Oojfhy9HwQYXOO++82HDrSW7zj6vbqrnqqqviyaCrGD58+IVt3HvvvTEMXcUBBxwQW3nVvPTSS/Fk0CVo+Gge1X6PpZwXX3wxngy6hPfeey+uHFqbOnVqzICuolevXrGVV4f3aqXr0fDRPHJ7eOzm1VH8a4SAD2pIwwdQ2NChQ+OygKYX1V6PHovehC9HwwcVOvroo2PDrSe5zT+ubqsm9xTxZAA0lGq/f0bO+PHj48mgS9Dw0Ty8RgDQkdjHqymeCboKDR/NI/bxaopnWiwBH9SWb+YACrvooovisoCmt8Yaa0S4l7LddtvFMFCWM844IzbcenLVVVfFpW3VXH311fFkADQU77EEpdLw0Tw64b1avUYANKhqv8fSKqusEs8EXYWGj+aR28NjN6+OYl4jCgZ8p5wi4IPq0vABFJa7GIjLAprehhtuGOHeQt/85jdjDCjXgw8+GBtuPbnrrrvi6rZq7r777ngyABrKqaeeGlt51cybNy+eDLoEDR/NY8iQIbGVV83cuXPjyQBoKFtvvXVs5dWx1VZbxTNBV6Hho3nk9vDYzauj4GtEMQHfxx/HZKBKNHwARRk7dmy/fv3i4oDmtvnmm0e+16PHBhtsEPcC5br55ptjq60zU6ZMiavbqnn66afjyQBoKJdeemls5dXRvXv3eCboKjR8NI9LLrkkdvPq6NmzZzwTAI1m3333jd28Ovr37x/PBF2Fho/mkdvDYzevjsW/Rgj4oE5o+ACK9f777z/44IP3wX333X777aNGjbr11lvjNlCWv/zlLzNnzoxNtv689957cXVbNbNmzYonA6ChjB49Orby6th4443jmaCr0PDRPG677bbYzatj8803j2cCoNGccMIJsZtXx3HHHRfPBF2Fho/mkdvDYzevjsW8Rgj4oH5o+AAAoH1bbLFFXOBWwc477xxPA0CjmTZtWvfu3WNDr4KTTjopngm6Cg0fzeP999+P3bw6Tj311HgmABrNn/70p9jNq2P06NHxTNBVaPhoHmPHjo3dvDpyr0HxTK19/LGAD+qIhg8AANo3cuTIuMCtAj+xBmhoJ554YmzoVTB16tR4GugqNHw0lUMOOSQ29Kx9+ctffumll+JpAGhA22yzTezpWVtttdXiOaAL0fDRVNZaa63Y07OWe/WJ52jt44//N9HLi/bSh4APOpmGDwAA2vf++++vuOKKcZmbqe9973vxHAA0pmeeeWappZaKbT1Te+yxRzwHdCEaPprKuHHjYk/P2tFHHx3PAUBjGjVqVOzpWRsyZEg8B3QhGj6ayllnnRV7etZyrz7xHCkCPqhDGj4AAOjQkUceGZe5mbryyivjCQBoWIceemhs65kaOXJkPAF0IRo+ms3mm28e23qmnnjiiXgCABrWpptuGtt6pp5++ul4AuhCNHw0lalTp8aenqnc6048QYqAD+qThg8AADo0c+bMddddNy52MzJgwIBYHYBG5jUCiqfho9nccccdsbNn56yzzorVAWhk1XiNGDZsWKwOXYuGj2ZTjbfie/jhh2P1hQR8ULc0fAAAsDgPPvhgXOxmYY011oh1AWh8XiOgSBo+mtDQoUNjf8+CT1oH6EqyfY3IrRbrQpej4aMJ5b7zj/09C7fcckusu5CAD+qZhg8AAAoYPnx4XPJW7NVXX41FAegSvEZAMTR8NKeBAwfGFl+ZlVdeOVYEoKvI6jWid+/esSJ0RRo+mlPu+//Y5Stz4oknxooLCfigzmn4AACgsEsuuSQufCswceLEWA6ALuT3v/99bPQVmDRpUiwHXZGGj6Y1aNCg2OjLtfrqq8daAHQt++67b+z15RJ50+Vp+GhavXv3jr2+XDvttFOstZCAD+qfhg8AAIoyefLk7t27xxVwib797W9Pnz49FgKgyxk3blzs+KXbdddd33///VgIuigNH83s+uuvjx2/dIccckisAkBXdPHFF8eOXzofs04z0PDRzCr54PWDDz44VllIwAcNQcMHAADFmjFjxo9//OO4Di7aHnvsIc4A6PIeeeSRddddN7b+op1wwgnxeOjSNHw0ufHjx6+99tqx9Rft5JNPjscD0HWNHDky9v1SnHXWWfF46NI0fDS5YcOGxb5fit/97nfx+IUEfNAoNHwAAFCa6667brfddosL4sXq37//zTffHA8DoKt76623Lrnkkj59+sTLQMeWXnrpgw46aNy4cfFI6Oo0fPDmm2+ef/75m222WbwSdKx79+5HHHHE+PHj45EAdHVTpkwZOnRoMR+buNZaa5111llTp06NR0JXp+GD3N+CIUOGrLbaavFK0LFNNtnk3HPPfe655+KRCwn4oIFo+AAAoBwvv/zy0KFDv/Wtb3Xv3n355Zf/whe+8MUvfvHLX/5yjx49ttxyy0svvfTdd9+NqQA0meeffz73GnHQQQdtv/32a6+99tJLL517sdh444379u17xBFHXHbZZR999FFMheag4YNFJkyYMGTIkAMOOKBPnz5rrrnmUkstlbuC2Gyzzfbaa6/jjjvuj3/8Y8wDoPk88MADudeI/fbbb+utt05yjVVWWWWrrbbq379/7jVi7NixMQ+ahoYPFhk9evTAgQN79uy5wgorLL300rnXiGWWWWbFFVdceeWVDzvssMmTJ8e81goGfP/xHwI+qCMaPgAAKN+RRx4Z/3SU8pvf/CaGAQDQ8AEAAKXT8EHahAkT4u9Aa3//+99jRmvFBHzz5sVkoB5o+AAAoHwaPgCAgjR8AABAqTR8kFZSwyfgg0ak4QMAgPJp+AAACtLwAQAApdLwQVrxDZ+ADxqUhg8AAMqn4QMAKEjDBwAAlErDB2lFNnwCPmhcGj4AACifhg8AoCANHwAAUCoNH6QV0/B9+qmADxqYhg8AAMqn4QMAKEjDBwAAlErDB2kFG75PP53/q1/lR3vpQ8AHdU7DBwAA5dPwQdr9999/TxtTpkyJYQCalYYPgI58+OGHceXQ2owZM2IGAM1Kwwdpi2/4BHzQBWj4AACgfBo+SBs0aFD8NUi56KKLYhiAZqXhA6Ajr7/+erwqtHbffffFDACalYYP0hbT8An4oGvQ8AEAQPk0fJCm4QOgXRo+ADqi4QOgIxo+SOuo4XvhhZcFfNA1aPgAAKB8Gj5I0/AB0K5//vOff25P8ok/ADQzDR8AHXn77bfjyqG13P0xA5pJuw3fj37U75hj3smL9tKHgA8aiIYPAADKp+GDNA0fAABQEg0fAEAx2jZ8P/pRv7XXvn677ebmdXuLDgEfNBYNHwAAlE/DB2kaPgAAoCQaPgCAYuQ1fEnA16PHIx01fAI+aDgaPgAAKJ+GD9I0fAAAQEk0fAAAxUg3fIsCvo4aPgEfNCINHwAAlE/DB2kaPgAAoCQaPgCAYixq+NIBX7sNn4APGpSGDwAAyqfhgzQNHwAAUBINHwBAMZKGLy/ga9vwNVzA99FH88ePn3/rrfOfey7ugaal4QMAgPJp+CBNwwcAAJREwwcAUIwJEya0DfjyGr4TTmiwgG/u3Pk//3l88X37zv/zn+N+aE4aPgAAKJ+GD9I0fAAAQEk0fAAAxZgwYULv3lfmBXy5Y1HDd8IJ//uedg1k7tz5xxwTAd+i4+GHYxSakIYPAADKp+GDNA0fAABQEg0fAEAxrrvuqbx6LzmShu+kkxov4Dv22PyAL3cMHBgToAlp+AAAoHwaPkjT8AEAACXR8AEAFOPMM5/Lq/eSY7vt5v785w0W8H3wQTvvwLfoeOWVmAbNRsMHAADl0/BBmoYPAAAoiYYPAKAYl102Ja/eS45DDnm3C3yE7qKjb98G6xEhQxo+AAAon4YP0jR8AABASTR8AADFeOCBiWuscVtewLfmmqOnTn05ZjSCOXMWF/DljpEjYyY0IQ0fAACUT8MHaRo+AACgJBo+AIBiTJgwYeed911zzdGLAr511712t932+vvf/x4z6l7BgM+PVmhyGj4AACifhg/SNHwAAEBJNHwAAMWYMGFC8m3S97534qabnvWDHxyX3GyUhm/OnPlHHpkf7aWPs86a//nnMRmak4YPAADKp+GDNA0fAABQEg0fAEAxFjV8eRqi4RPwQTE0fAAAUD4NH6Rp+AAAgJJo+AAAitG4DZ+AD4qk4QMAgPJp+CBNwwcAAJREwwcAUIwGbfgEfFA8DR8AAJRPwwdpGj4AAKAkGj4AgGI0YsMn4IOSaPgAAKB8Gj5I0/ABAAAl0fABABSj4Ro+AR+USsMHAADl0/BBmoYPAAAoiYYPAKAYjdXwCfigDBo+AAAon4YP0jR8AABASTR8AADFaKCGT8AH5dHwAQBA+TR8kKbhAwAASqLhAwAoRqM0fAI+KJuGDwAAyqfhgzQNHwAAUBINHwBAMRqi4RPwQSU0fAAAUD4NH6Rp+AAAgJJo+AAAilH/DZ+ADyqk4QMAgPJp+CBNwwdAuz7//PML2jNp0qSYAUCz0vAB0JFp06bFlUNr06dPjxnQTOq84RPwQeU0fAAAUD4NH6Rp+ABo12effRavCq3ddNNNMQOAZqXhA6AjTz/9dLwqtPbXv/41ZkAzqeeGT8AHmdDwAQBA+TR8kKbhA6BdGj4AOqLhA6AjGj5Iq9uGT8AHWdHwAQBA+TR8kKbhA6BdGj4AOqLhA6AjGj5Iq8+GT8AHGdLwAQBA+TR8kKbhA6BdGj4AOqLhA6AjGj5Iq8OGT8AH2dLwAQBA+TR8kDZ79uyZbcyZMyeGAWhWGj4AOpJ7jYgrh9bmzZsXMwBoVho+SKu3hq9gwHfOOQI+KI2GDwAAyqfhAwAoSMMHAACUSsMHaXXV8BUT8P3znzEZKJKGDwAAyqfhAwAoSMMHAACUSsMHafXT8An4oEo0fAAAUD4NHwBAQRo+AACgVBo+SKuThu+99wR8UC0aPgAAKJ+GDwCgIA0fAABQKg0fpNVDw/fee/MPOyw/2ksfAj6ohIYPAADKp+EDAChIwwcAAJRKwwdpNW/4BHxQbRo+AAAon4YPAKAgDR8AAFAqDR+k1bbhE/BBJ9DwAQBA+TR8AAAFafgAAIBSafggrYYNn4APOoeGDwAAyqfhAwAoSMMHAACUSsMHabVq+AR80Gk0fAAAUD4NHwBAQRo+AACgVBo+SKtJwyfgg86k4QMAgPJp+AAACtLwAQAApdLwQVrnN3wCPuhkGj4AACifhg8AoCANHwAAUCoNH6R1csMn4IPOp+EDAIDyafgAAArS8AEAAKXS8EFaZzZ8Aj6oCQ0fAACUT8MHAFCQhg8AACiVhg/SOq3hE/BBrWj4AACgfBo+AICCNHwAAECpNHyQ1jkNn4APakjDBwAA5dPwAQAUpOEDAABKpeGDtE5o+AR8UFsaPgAAKJ+GDwCgIA0fAABQKg0fpFW74RPwQc1p+AAAoHwaPgCAgjR8AABAqTR8kFbVhk/AB/VAwwcAAOXT8AEAFKThAwAASqXhg7TqNXwCPqgTGj4AACifhg8AoCANHwAAUCoNH6RVqeET8EH90PABAED5NHwAAAVp+AAAgFJp+CCtGg1fwYDv/PMFfNB5NHwAAFA+DR8AQEEaPgAAoFQaPkjLvOET8EG90fABAED5NHwAAAVp+AAAgFJp+CAt24ZPwAd1SMOXsffeey+3RT766KN33XXXddddd+GFFw4dOvTII48cMGDAtttuu8EGG/Ts2fOLX/zid7/73XgAAACNTMMHAFCQhg8AACiVhg/SMmz43nlHwAf1SMOXmT//+c99+vRpKdoTTzwRj2xub7311mOPPTa+oUycOHH69OnxfwAAaG4aPkg7/vjjf9rGiBEjYhiAZqXhA6Ajb731Vlw5tPbQQw/FDACalYYP0rJq+N55Z/7PfpYf7aUPAR/UioYvM5tssknUeUXo1q1bPKy5DRo0KM5IAzrqqKPi/wYA0MQ0fJCW+w4//hqkXHTRRTEMQLPS8AHQkddffz1eFVq77777YgYAzUrDB2mZNHwCPqhnGr7M9O/fP9quIvTr1y8e1sTGjBkTp6Nhxf8TAKCJafggTcMHQLs+//zzg9ozZsyYmAFAs9LwAdCRqVOnxpVDa88++2zMgGZSecMn4IM6J0LK0vjx44cudMghh2ywwQaRerVxfm7za3r77bdfnI6GFf9PAIAmpuGDNA0fAABQEg0fAEAxKmz4BHxQ/0RI1dXRZ8U+8cQTMaNZvfnmm926dYvT0cYKK6ywySab9O/f/+STTx45cuRf/vKXyZMnT5ky5eWXX849cM6cOZ9//nkstEDuIj/3ijV06NB4fHu22GKLMWPGjB8//sUXX5w3b148cv78jz/+eNasWbmVn3766Ycffnjs2LHXXnvthRdemFttjz32WHPNNePxbXzjG9+IJQCAJqbhgzQNHwAAUBINHwBAMSpp+AR80BA0fNV15513RvCV0q1btxhuYiNGjIjT0dpuu+123XXXxaQS3XbbbbFKGyuuuOLMmTNjXomuuuqqlVZaKRZK2WWXXWIGANDENHyQpuEDAABKouEDAChG2Q2fgA8ahYavui677LIIvlL69esXw01s7733jtOx0E9/+tMHHngghssyZMiQWKuNoUOHxqRytX2TvxNOOCHGAIAmpuGDNA0fAABQEg0fAEAxymv4BHzQQDR81XXMMcdE8JVyfm4XbG7Tpk1bdtll43QscPPNN8dYBfr06RPLtTF27NiYVIG11147lltg+PDhMQAANDENH6Rp+AAAgJJo+AAAilFGwyfgg8ai4auu73znOxF8pTz++OMx3KyGDRsW52KB3M0YqEws18aqq64aMyozZsyYWHGB3GtkDAAATUzDB2kaPgAAoCQaPgCAYpTa8An4oOFo+Kro7bffjtorpVu3bjHcxPr27Runo6XloIMOinsrM378+FixjX322ScmVWy55ZaLRVta3nvvvbgXAGhiGj5I0/ABAAAl0fABABSjpIZPwAeNSMNXRbfeemvUXin9+vWL4WaVewn5whe+kJyN73//+3FvxX71q18la7aV4YcXr7zyysmaq6yyStwFADQ3DR+kafgAAICSaPgAAIpRfMMn4IMGpeGroqOOOirpvdIy7Mka1EUXXRTnoqVl7NixcW/FfvjDH8aibUycODEmVax3797JmjvuuGPcBQA0Nw0fpGn4AACAkmj4AACKUWTDJ+CDxqXhq6L1118/6b3SJk2aFMPNauedd05ORYYZ3D//+c//7//7/5Jl83zjG9+ISVn43ve+lyx77LHHxl0AQHPT8EGahg8AACiJhg8AoBjFNHwCPmhoGr5qmTVrVhJ7pXXr1i2Gm9Wzzz4b56Kl5X/+53/i3orlLuZj0TYGDhwYk7LQp0+fZNkrrrgi7gIAmpuGD9I0fAAAQEk0fAAAxSjY8An4oNFp+KrllltuSWKvtH79+sVwszrvvPOSU7HDDjvEXVn45S9/mSzb1gUXXBCTsrCo4XvwwQfjLgCguWn4IE3DBwAAlETDBwBQjMU3fAI+6AI0fNVy5JFHJrFX2vm5fbG5bbvttsmpuO666+KuLPzgBz9Ilm0r2w8vXtTwvf3223EXANDcNHyQpuEDAABKouEDACjGYho+AR90DRq+aundu3cSe6XldtUYbkpPP/10ch622GKLuCsLn3322b/8y78kK+fp1atXTMrI5ptvnlt2pZVWitsAQNPT8EGahg8AACiJhg8AoBgdNXxPPvmPxQd8F18s4IPGoOGrirfeeitpyNK6dev2z+beGs8+++zkVGT7M7xx48Yly7a13377xaSMLL/88rllt91227gNADQ9DR+kafgAAICSaPgAAIrRbsO3884DBw58Py/aSx8XXxwPB+qfhq8qbrrppqQhS+vXr18MN6utt946dx6++MUvvvzyy3FXFk499dTkDLeV7Q8Lp0+fniz77//+73EXAND0NHyQpuEDAABKouEDAChG24Zv550HrrbaXdttNzev21t0CPigsWj4quLwww9PYq+0c889N4ab0uTJk5PzsMcee8RdGUnSwHblnjQmZWHRG/5deumlcRcA0PQ0fJCm4QMAAEqi4QMAKEZew7fTTvutttpdPXo80lHDJ+CDhqPhq4r11lsvib3SHnjggRhuSqeffnpyHoYPHx53ZeHTTz9dYoklkpXz9OrVKyZl5OKLL05W/n//7//FXQBA09PwQZqGDwAAKImGDwCgGOmGb0HAd0+PHo901PAJ+KARafiy98YbbySlV1q3bt0++eSTmNGUttpqq+Q8vPnmm3FXFv785z8nZ7itAw44ICZl5Nhjj01Wfuutt+IuAKDpafggTcMHAACURMMHAFCMRQ1fOuBrt+ET8EGD0vBl74YbbkhKr7R+/frFcFOaNWtWch4GDx4cd2XklFNOSVZu65JLLolJGcn9JuaWXWutteI2AICGD1rT8AEAACXR8AEAFCNp+PICvrYNX8MFfB9+OH/8+Pm33jr/2WfjHmhaGr7sHXrooUlDltbkP8edMmVKch4mT54cd2Xk+9//frJyW48//nhMyshhhx2WW/aoo46K2wAAGj5oTcMHAACURMMHAFCMCRMm7LzzvnkBX17Dd/nlMblRvPrq/MGD/y9AHDYs7ofmpOHL3jrrrJM0ZGnjx4+P4WaVOwNjx46NGxn55JNPvvCFL8Qpbq1Xr14xKVNDhw6NXwEALKDhgzQNHwAAUBINHwBAMR56aOIaa/xPXsCXOxY1fA33DnyvvDJ/333/L+BLjpEjYxSakIYvY6+99lpEZCndunX76KOPYkZ7XnnllQceeGDUqFFDhw69+uqrx40b9/zzz8+bNy+G6cA999wTp7iNAw88MCYBAFSThg/SNHwAAEBJNHwAAMW44oq/5dV7yZE0fF0j4MsdffvO//jjmAPNRsOXseuuuy4ispS+uW2mjaeeeurQQw9df/31l1tuuZjXRr9+/W699dZPP/00HkNrv/jFL+JMtXHZZZfFJACAatLwQZqGD4COvNWeuXPnxjAAzUrDB0BHPvnkk7hyaC13f8yAZvKf//l8Xr2XHNttN/fSS2NOo/j73+cPHJhf7y06cqPQnDR8GfvZz34WEVnKmWeeGcMLvPDCC8cdd9xSSy0VwwutvPLKm2666ZJLLhm3F1pzzTVHjRoVDyblBz/4QZyjNp588smYBABQTRo+SNPwAdCuzz77LF4VWrvppptiBgDNSsMHQEeefvrpeFVo7a9//WvMgGYyatRTefVecpx55syY0SD+8Y/234EvOfr3j2nQhDR8GfvmN78ZEVnKuHHjktHXXnvtlFNOWWGFFWKgpWXPPff89a9/PWbMmOnTpydzPv7444cffnjHHXeMGQv9/ve/TyaQyJ2oL37xi3F2WuvVq1dMAgCoMg0fpGn4AGiXhg+Ajmj4AOiIhg/SJkyY8K1vDc8L+NZf//K/N9Tb1uW+2MUEfLnj4YdjJjQhDV+Wpk2bFhFZSrdu3ebMmZMbnTJlSu/evePelpYDDzxw4sSJyQPbNXTo0Ji6UO6eGGP+/LvvvjvOSxuDBg2KSQAAVabhgzQNHwDt0vAB0BENHwAd0fBB2oQJE370o92/850LknpvpZUmbLbZr3N/Ixqo4ct9pQMG5Ed76WPs2JgJzUnDl6VrrrkmIrKUXXfdNTeUDvj23nvvYi4+cw9J5i/Sq1evd955J4ab3sknnxznpY1hw4bFJACAKtPwQZqGD4B2afgA6IiGD4COaPggbcKECclfgV122WfbbQ/bdde9kpuN0vAJ+KAgDV+WDj744IjIUk4//fRFAd8666xz++23x+wi7LTTTskii5x//vkx1vR++MMfxklpI/f9XEwCAKgyDR+kDR8+/MI27r333hgGoFlp+ADoyHvvvRdXDq1NnTo1ZgDQrDR8kLao4cvTEA1fwYDvtttiJjQzDV+W1lxzzYjIUu66664k4FtllVUee+yxmFqcc845J1lkkQ033DDGmtu8efOWXHLJOCmt9erVKyYBAFSfhg8AoCANHwAAUCoNH6Q1bsMn4IMiafgy88orr0REltKtW7ck4FthhRXuv//+mFq0ESNGJOuk5Z4ohpvYXXfdFaejjUGDBsUkAIDq0/ABABSk4QMAAEql4YO0Bm34BHxQPA1fZkaOHBkRWUoS8C255JIlfYTuInfccUeyTtoDDzwQw01syJAhcTrauPLKK2MSAED1afgAAArS8AEAAKXS8EFaIzZ8Aj4oiYYvMz/96U8jImvj6quvjkklavfd5q677roYbmJ9+vSJ09HG3/72t5gEAFB9Gj4AgII0fAAAQKk0fJDWcA2fgA9KpeHLTK9evSIia22vvfaKGaW76aabYpWUs88+O4ab1UcffbTUUkvF6Wgt97sQkwAAOoWGDwCgIA0fAABQKg0fpDVWwyfggzJo+LLx8ssvR0TW2jLLLDN58uSYVLorrrgiFko577zzYrhZ3XnnnXEu2hg0aFBMAgDoFBo+AICCNHwAAECpNHyQ1kANn4APyqPhy8aIESMiImvtjDPOiBll+e1vfxsLpeSeK4ab1cknnxznoo3hw4fHJACATqHhAwAoSMMHAACUSsMHaY3S8An4oGwavmz827/9W0RkKVtuueUnn3wSM8py3HHHxVop//M//xPDzWqbbbaJc9HGM888E5MAADqFhg8AoCANHwAAUCoNH6Q1RMMn4INKaPiysdpqq0VElvKnP/0phsu1xRZbxFopTzzxRAw3pQ8//HDppZeOc9Far169YhIAQGfR8AEAFKThAwAASqXhg7T6b/gEfFAhDV8GXnrppYjIUnr37h3D5XrvvfdirZRu3brFcLMaO3ZsnIs2Bg0aFJMAADqLhg8AoCANHwAAUCoNH6TVecMn4IPKafgyMHz48IjIUg4++OAYLtddd90Va6X069cvhpvVL37xizgXbYwYMSImAQB0Fg0fAEBBGj4AAKBUGj5Iq+eGT8AHmdDwZeAnP/lJRGQplfdkQ4cOjbVSzjnnnBhuVttuu22cizaeffbZmAQA0Fk0fAAABWn4AACAUmn4IK1uGz4BH2RFw5eBVVZZJSKylBkzZsRwuXbaaadYK+W+++6L4ab0wQcfLLPMMnEuWuvVq1dMAgDoRBo+AICCNHwAAECpNHyQVp8Nn4APMqThq9QLL7wQEVnKBhtsEMPleuWVV77whS/EcgutsMIK77//fsxoSrfffnucizYGDRoUkwAAOpGGDwCgIA0fAABQKg0fpNVhwyfgg2xp+Cp15ZVXRkSWcuyxx8ZwuYYPHx5rpfTv3z+Gm9Upp5wS56KNyj+8GACgDBo+AICCNHwAAECpNHyQVm8Nn4APMqfhq9R+++0XEVnK6NGjY7hc++67b6yVMmzYsBhuVtttt12cizaef/75mAQA0Ik0fAAABWn4AACAUmn4IK2uGr6CAd9//3fMBIqn4atUz549IyJLeeedd2K4LO+//3737t1jrZSXXnopZjSlOXPmLLvssnEuWuvVq1dMAgDoXBo+AICCNHwAAECpNHyQVj8N3/PPC/igKjR8FXnuueciIkvZcMMNY7hct956a6yVsv3228dws7rjjjviXLQxaNCgmAQA0Lk0fAAABWn4AACAUmn4IK1OGr7nn5/fv39+tJc+BHxQNg1fRYYNGxYRWcqxxx4bw+U64ogjYq0UPwk+9dRT41y0MWLEiJgEANC5NHwAAAVp+AAAgFJp+CCtHho+AR9UlYavIgMHDoyILGX06NExXJYPP/xw9dVXj7VSJk+eHDOa1fbbbx/noo0XX3wxJgEAdC4NHwBAQRo+AACgVBo+SKt5wyfgg2rT8FVkpZVWiogs5Z133onhslx77bWxUMp3v/vdGG5W77///pe+9KU4Ha316tUrJgEAdDoNHwBAQRo+AACgVBo+SKttwyfgg06g4Svf1KlTIyJLWX/99WO4XHvssUeslXL22WfHcLMaO3ZsnIs2Bg0aFJMAADqdhg8AoCANHwAAUCoNH6TVsOET8EHn0PCV79JLL42ILOWII46I4bL87W9/i4Va843IaaedFueijREjRsQkAIBOp+EDAChIwwcAAJRKwwdptWr4BHzQaTR85dtnn30iIku5/vrrY7gsp59+eiyUsvPOO8dwB8aPH//CCy/EjS5qhx12iNPRRqd9vnu7cq+Up5xyymGHHda/f//tt99+4MCBQ4YMufjii0ePHv2Pf/wjJmVnzJgxufVzT5d7otwfjH79+h177LHnnXfejTfe+Pjjj8ckAKATafgg7f7777+njSlTpsQwAM1KwwdARz788MO4cmhtxowZMQOAZqXhg7SaNHwCPuhMGr7yfe1rX4uILOXVV1+N4bJ85zvfiYVSLr744hhuz1tvvdW7d+/ctMmTJ8ddXc5777233HLLJWcjT69evWJSp7vzzjsHDhwYX0d7cl/zIYcc8uc//zkeUIHXX3/97LPPXnfddWPp9iy77LJDhw6dO3duPAYA6BQaPkgbNGhQ/DVIueiii2IYgGal4QOgI6+//nq8KrR23333xQwAmpWGD9I6v+ET8EEn0/CVacqUKVFOpVTYk912222xUMoyyyzzyiuvxIz2XHLJJcnMCvPBenbnnXcm/x/bGjRoUEzqXEOGDImvoAg/+MEP/vCHP8QjS3fNNdesvvrqsdYCSy655Le//e299tpr6NChxx577IYbbhgDLS0bbbTRDTfcEI8EAKpPwwdpGj4A2qXhA6AjGj4AOqLhg7RObvgEfND5NHxluvjii6OZSjnggANiuCz/9m//Fgul7LPPPjHcgV122SU3rWfPnnG7K/rlL3+ZnI22RowYEZM60R577BFPv1Du/Pfp02fllVeO2+352c9+9vrrr8cSxXnrrbcOO+yweHxLy4orrnjaaac99thj8+bNixkLvfzyy7lTsemmmyYzL7nkkhgAAKpMwwdpGj4A2vXPf/7zz+2p6if+ANAQNHwAdOTtt9+OK4fWcvfHDGgmndnwCfigJjR8Zdp7772TWCpt2LBhMVy6Dz/8cMUVV4yFUkaNGhUz2rPo7QB33XXXuKsr2nHHHZP/m229/PLLMamzxBMvMHjw4AcffPCtt96KsfnzZ86cmbvnpz/9acxo7Vvf+tYtt9wSUwsZPXr0+uuvnzxwySWXPO6441544YUY68DHH3+8++67Jw/Jff8a9wIA1aThgzQNHwAAUBINHwBAMTqt4RPwQa1o+Mr01a9+NSml0qZMmRLDpfvjH/8Yq6SsuOKK77zzTsxoz9ChQ5OZV1xxRdxViueee67zG7hSvfvuu8svv3zyfzNPhR9eXIYddtgheerBgwdPnjw57m3Pvffe2/bt+hK/+MUvYlLHbr755pjd0jJgwIAnn3wyBopw5pln5h615pprvvTSS3EXAFA1Gj5I0/ABAAAl0fABABSjcxo+AR/UkIavHE8//XQSV6WtuOKKMVyWQw45JBZK2X///WO4A717985N++pXvzpz5sy4qwgvvvjiEUccscoqqyTP8u1vf/uYY4758MMPY7jO3HXXXcnX2dagQYNiUqc455xzkuc9/vjj465CFkWWeQ4//PCY0Z50wHfwwQfHvaW49dZbc4/t2u/OCAB1QsMHaRo+AACgJBo+AIBidELDVzDgu/76mAlUg4avHBdeeGHSV6X169cvhsuyySabxEIpo0ePjuH2LCq9fvazn8VdRRg/fnz37t2TB6btuOOOr732WkyqJ7/61a/iS2xjxIgRMan6nnjiiS9/+cu5Jz3ooIPiruJ0lPGdc845MaO1dMB31FFHxb2lS573eq+iAFBlGj5I0/ABAAAl0fABABSj2g1fwYBv5MiYCVSJhq8ce+65Z5JYpV144YUxXJaePXvGQgsVfGO//v37JzPvuOOOuKuQ999/f8MNN0we1dYGG2wwa9asmFo3dtppp/j62ujMDwJOkrjcS2DcLsV1112XfMF5br755pix0H333RdjLS1DhgyJe8vVp0+fvn37xg0AoDo0fJCm4QMAAEqi4QMAKEZVGz4BH9QDDV85VlxxxcisUp588skYLkuskrLXXnvFWHvuvPPOZFpJnyf7pz/9KXlUR66++uqYWjfiK2tjlVVWiRmdImkf77777rhdotwDky87Tzrj+/jjj7faaqvk/uI/rncxRo0alVtq4sSJcRsAqAINH6Rp+AAAgJJo+AAAilG9hk/AB3VCw1eyJ598Mqms0nr06BHD5dp+++1jrYVOOeWUGGvPOuusk5vzla985W9/+1vcVYTLLrssWbwjO+ywQ0ytDyNGjIivrI2S4sUKTZw4MfeM+++/f9wuy69//evkK88zZsyYZMJxxx2X3LP11lvPmzcvubMS77333rLLLnvMMcfEbQCgCjR8kKbhAwAASqLhAwAoRpUaPgEf1A8NX8l+//vfJ6FV2sCBA2O4XGeddVastdCoUaNirI3dd989mXPGGWfEXcW58MILkwcuxvO5Tbo+TJ48efnll48vq43ObPiOPfbY3DM+/PDDcbtcffv2Tb74tC233DI3dPPNNyc3l1pqqQceeCCZX7ncH5Wvfe1rH374YdwGALKm4YM0DR8AAFASDR8AQDGq0fAJ+KCuaPhK1q9fv6S1SrvwwgtjuFzjxo2LtRa66667Yqy12267LZmw0UYbldpmTZ48OXnsYtxyyy0xu0Y++uijhx56aPDgwfEFdaBXr15XXXVVPKbKvv3tb++6665xozJf//rX4/9AysEHHxy/amk577zzYmoWbrrpptyaJb1ZIwBQEg0fpGn4AACAkmj4AACKkXnDJ+CDeqPhK1n37t2T1ipt0qRJMVyu999/f9VVV43lFhg2bFiMpSx6t7ZVVlnl0UcfjXtLsckmmyQrdKTaP2Abv8ANN9xw9tlnD23tsMMO23LLLZdeeun4UorTp0+feHxrufVHjhx55513xhNXYIklljj00EPjRmVyv9HxdbdnwIABMS8jU6dOzS172223xW0AIGsaPkjT8AEAACXR8AEAFCPbhm/qVAEf1B0NX2lefPHFpLVKW3XVVWO4MhdddFGsuED/3JbZ2n/8x38kQ8stt1zZl6/Dhg1LFunIySefHFOr4KSTToqn6UR9+vSJpy/L888/n1vk17/+ddyu2Pjx45MvLE+3bt0q/Kz6tj766KPcyr/73e/iNgCQNQ0fpGn4AACAkmj4AACKkWHDN3Xq/L32yo/20oeAD2pCw1eaadOmJblV2rHHHhvDFevfv38susAuu+wyYsSI3/72t7vvvnvPnj2TO7t37/6nP/0pHlCWo446Klkqbf/99x86dGjuF4MGDYp5VdCnT5/k6TpT7hzG05flf/7nf3KLXH311XE7C+eee27ytaV95StfieFMrbTSSkceeWTcAACypuGDNA0fAABQEg0fAEAxsmr4BHxQtzR8Jdtll10iuVpgk002iYGMLPq03HYdeuihzz//fEytwKhRow4//PDcht63b99jjjnmrrvuyt2ZNHw77rhjMqcaxo8f379//z4d22677Xbbbbc999xz3333/elPf3rYYYflvryTTjrpl7/85S9+8Yvjjz/+yCOPPPjggw844IC999479/XvsMMO8cgOXHbZZfHc5TrnnHNyp+Xuu++O2xnJ/R9c8Fvayo9+9KMYzs6WW2658847xw0AIGsaPkjT8AEAACXR8AEAFCOThk/AB/VMw1ey8ePH9+vXr1u3bi0tLccdd9y0adNiIDu5NU866aTdd999nXXWyT3LWmuttcsuuxx11FGZZ2R5koZvn332idsscOWVV+ZOy0033RS3s7P22mvnVs6T+Y/8v/GNb+y9995xAwDImoYP0jR8AABASTR8AADFqLzhE/BBndPw8X+Shu+EE06I2yxw33335U7Lb3/727idnYsuumhBtpcvw3+bePfdd3MLHnPMMXEbAMiahg/SNHwAAEBJNHwAAMWosOET8EH90/Dxf/bZZ5+WlpYLLrggbrPASy+9lDstRx11VNzOyCuvvPK/vV57/uVf/mXGjBkxrzIPPPBAbsFzzjknbgMAWdPwQZqGDwAAKImGDwCgGJU0fAI+aAgaPv7Pmmuu2dLScuutt8ZtFvjss8+WWWaZ3XffPW5nZOutt14Q7LX07t07+UXaD37wg5hXmauuuiq32rXXXhu3AYCsafggTcMHAACURMMHAFCMshs+AR80Cg0fYcaMGUk9Nnny5LiLhb797W937949bmTh9NNPT852zpQpU+JXrR1//PExuwI/+9nPckuNHz8+bgMAWdPwQZqGDwAAKImGDwCgGOU1fAI+aCAaPsLo0aOTdOzNN9+Mu1jokEMOyZ2Zu+++O25XZtKkSUsuuWRyto855pjcPePHj09u5rnyyiuTh5Qn+SDdlVdeOW4DAFWg4YM0DR8AAFASDR8AQDHKaPgKBnyV9QhAxjR8hKFDh7a0tHz961+P26Q8/PDDuZNz6KGHxu3K7Lbbbv8b6LW0bLrppnHX/Pl33XVXcmeeBx98MGaUbsCAAbkVjjzyyLgNAFSBhg/SNHwAAEBJNHwAAMUoteET8EHD0fAR9thjj5aWltNOOy1u09p+++3XvXv3F198MW6XK3eGF7R5/+uuu+6Kexe45pprYiBlnXXWufHGG2NGKe64445kBR+kCwBVpeGDNA0fAABQEg0fAEAxSmr4BHzQiDR8/K8pU6Z88YtfbGlpeeaZZ+IuWvvzn/+cOz977LFH3C7LcccdtyCr+19Dhw6Ne1POP//8GG7tiiuuiBnF+cc//rHhhhvmHrj55pvHXQBAdWj4IE3DBwAAlETDBwBQjOIbPgEfNCgNH/9ryJAhLS0tO+ywQ9ymPbvvvnsZOd0igwcP/t8cb4F2A77Eb37zm5jU2nnnnRczCnn//ff79OmTPOrhhx+OewGA6tDwQZqGDwAAKImGDwCgGEU2fAI+aFwaPua/9dZbPXv2bGlpGTZsWNxFex599NGVVlopd6LeeeeduKtoBxxwwIKm7n8tJuBLdPRufLkHzpo1KyZ14I033khaw5xbbrkl7gUAqkbDB2kaPgDa9fnnn1/QnkmTJsUMAJqVhg+AjkybNi2uHFqbPn16zIBmUkzDJ+CDhqbhY/55553X0tLy5S9/OXepHHfRgdtuuy3J40aPHh13FfKHP/xhs802Sx6VUzDgS/z2t7+NB7S25pprnn/++Z9++mnMS/nkk09yv5W9evVKZp544okxAABUk4YP0jR8ALTrs88+i1eF1m666aaYAUCz0vAB0JGnn346XhVa++tf/xozoJkUbPgEfNDoNHzM/853vtPS0nLsscfGbRbr8ssvTyK53Blb/Bvy3XLLLdtss00yOad3797XXnttjBXh7rvv3mCDDeLBrW288cZHH330jTfe+Pbbb0+dOvWaa67J3czdGcMtLbvsskusAgBUmYYP0jR8ALRLwwdARzR8AHREwwdpi2/4BHzQBWj4mt3hhx/e0tKy4YYblvH5sE1r6NChyy67bHLeDjrooP/6r/+68847X3/99bfeeuv++++//PLLjz766B122GFBTRdOOOGE2bNnx+OL9sYbb/zkJz+JJYp2zDHHxOMBgOrT8EGahg+Admn4AOiIhg+Ajmj4IG0xDZ+AD7oGDV9TO/vss5Pqq/hPhiXx+OOPDxw4MDl7i9e/f/9x48bFw8pyzTXX7LPPPkk1uHibbLLJqFGj4mEAQKfQ8EGahg+Admn4AOiIhg+Ajmj4IK2jhu/Pf54m4IOuQcPXvK677rok/PIpumW74YYbvvvd737lK19JzmRa7969hw4dOmXKlJhasVdfffXSSy/dZZddevbsGc+RsskmmwwbNiymAgCdSMMHabNnz57Zxpw5c2IYgGal4QOgI7nXiLhyaG3evHkxA4BmpeGDtHYbvm22OXznnT/Ii/bSh4APGoiGr0k98MADSXnmU3QzMWXKlJtvvnno0KHXXntt7ty+8sorMVAdL7/88h133HHOOecMHz58/PjxuZsxAAB0Og0fAEBBGj4AAKBUGj5Ia9vw/fCH//71rz+03XZz87q9RYeADxqLhq8ZvfHGGxtssEHy/m0+RRcAoBIaPgCAgjR8AABAqTR8kJbX8C0I+B7u0eORjho+AR80HA1fMzruuOOSgG/UqFFxFwAAZdHwAQAUpOEDAABKpeGDtHTDtyjg66jhE/BBI9LwNaOk4Zs4cWLcBgCgXBo+AICCNHwAAECpNHyQtqjhSwd87TZ8Aj5oUBq+JvXBBx/ErwAAqICGDwCgIA0fAABQKg0fpCUNX17A17bha7iA7+9/n3/RRfNPP32+fyEADR8AAJRPwwcAUJCGDwAAKJWGD9ImTJiwzTaHp+u95Eg3fJdfHpMbxf33/199mDuOO27+3LkxBE1IwwdF+dw7FwIA7dHwAQAUpOEDAABKpeGDtHHjJq2yyvi8gC93LGr4rrgiZjaKe+9tFfAlxxlnxCg0IQ1fXfhMH1b35kyYEL8CAEjR8AEAFKThAwAASqXhg7QLL3wmr95LjqThu/TSmNYoxo+f37dvfsCXHO++G3Og2Wj46sIHEyfGr6hXMxvuc+MBgE6h4QMAKEjDBwAAlErDB2lnn/1cXr2XHNttN7drvAPfomPatJgGzUbDVxdmXnnl5z7Wu769evTR8SsAgBQNHwBAQRo+AACgVBo+SBs9+vG8ei85/vM/Z8aMBjF+fH60lz4OPjimQRPS8NWFV4855oNHHokb1J/P58594cc/1lkCAG1p+AAACtLwAQAApdLwQdqECRO+850L8gK+9de/9O9//3vMaASL+Qjd5JgyJWZCE9Lw1d7nH3zwwo9/PPOqq+I29eeDRx7J/R7pLAGAtjR8AAAFafgAAIBSafggbcKECT/60e6LMr6VVpqw2Wa/zv2NaKCGr2DAd/fdMROak4av9uZOmvTCj3887dhj4zb1Z9bw4bnfo9z/xm0AgIU0fAAABWn4AACAUmn4IG3ChAnJX4Fddtln220P23XXvZKbjdLwCfigIA1f7c1c0Ifljs8/+CDuos68euyxud+g3P/GbQCAhTR8AAAFafgAAIBSafggbVHDl6chGj4BHxRDw1d70447Lmn45j76aNxFPflszpzkNyh35H4d9wIALKDhAwAoSMMHAACUSsMHaY3b8An4oEgavhr7PNWHzbz66riXejL30UcX/R7pLAGAPBo+AICCNHwAAECpNHyQ1qANn4APiqfhq7G5kycv6sOmHX983Es9mTVixKLfo9yv414AgAU0fAAABWn4AACAUmn4IK0RGz4BH5REw1dj6T4sd3z2/vsxQN2Ydvzxi36DdJYAQB4NHwBAQRo+AACgVBo+SGu4hu/BBwV8UBoNX41NO+GERX1Y7pj72GMxQH347P33079BuUNnCQCkafgAAArS8AEAAKXS8EFaYzV8Dz44f/fd86O99CHgg7Y0fLX0eZs+bNYf/hBj1Ie5jz2W93ukswQA0jR8AAAFafgAAIBSafggrYEaPgEflEfDV0tt+7BpJ5wQY9SHWX/4Q97vkc4SAEjT8AEAFKThAwAASqXhg7RGafgEfFA2DV8tzRo5Mq8Pyx2fvfdeDFMHpv3853m/Qbl7YgwAQMMHAFAEDR8AAFAqDR+kNUTDJ+CDSmj4aqltH5Y7fFRr/fjsvffyfneSQ2cJACyi4QMAKEjDBwAAlErDB2n13/AJ+KBCGr6a+ezdd/PKsOSYPWpUzKDW2n7YcXLoLAGARTR8kHb88cf/tI0RI0bEMADNSsMHQEfeeuutuHJo7aGHHooZADQrDR+k1XnDJ+CDymn4ambu5Ml5ZVhyTDvxxJhBrc0aNSrvdyc5cvfHDACg6Wn4IG3QoEHx1yDloosuimEAmpWGD4COvP766/Gq0Np9990XMwBoVho+SKvnhk/AB5nQ8NXM7GuuySvDFh2fvftuTKKmpp90Ut5vTXLk7o8ZAEDT0/BBmoYPgHZ9/vnnB7VnzJgxMQOAZqXhA6AjU6dOjSuH1p599tmYAc2kbhs+AR9kRcNXM9M66MNyx9zJk2MStfPZO+/k/b6kj9xozAMAmpuGD9I0fAAAQEk0fAAAxajPhk/ABxnS8NXG4vuw2ddeG/OonQ8efTTv9yV95EZjHgDQ3DR8kKbhAwAASqLhAwAoRh02fAI+yJaGrzbmLrYPm/4f/xHzqJ3Z116b9/uSPnSWAEBCwwdpGj4AAKAkGj4AgGLUW8O3+ICvb18BH5RMw1cbs6+7Lq8Jyzs+ffvtmEqNTB8yJO83JX3kRmMeANDcNHyQpuEDAABKouEDAChGXTV8BQO+e++NmUDxNHy1sfg+LHd8MGlSTKUWPnv77bzfkbZHbk7MBgCamIYP0jR8AABASTR8AADFqJ+GT8AHVaLhq4Fi+rC3r78+ZlMLH0yalPc70vbQWQIAORo+SNPwAQAAJdHwAQAUo04aPgEfVI+GrwbmFtGHTT/55JhNLcy+/vq835G2R25OzAYAmpiGD9I0fAAAQEk0fAAAxaiHhu+RRwR8UEUavhoopg/LHZ/Onh0PoNO99otf5P12tD1yc2I2ANDENHyQpuEDAABKouEDAChGzRu+Rx6Z369ffre36BDwQeU0fDUwvYg+LHd8kNsCqYXPZs/O+73o6MjNjMcAAM1KwwdpGj4AAKAkGj4AgGLUtuET8EEn0PB1tk9nzXqxb9+8FKzdY/Z118Vj6FwfPPJI3u9FR4fOEgDQ8EGahg8AACiJhg8AoBg1bPgEfNA5NHyd7YOJE/M6sI6O1045JR5D55p93XV5vxcdHTpLAEDDB2kaPgAAoCQaPgCAYtSq4RPwQafR8HW22ddem9eBdXj07fvprFnxMDrR9FNOyf+96ODIzYzHAADNSsMHaRo+AACgJBo+AIBi1KThE/BBZ9LwdbbXTj01rwNbzPHBxInxMDrLpzNnvrj77nm/ER0duZm5+fFIAKApafggTcMHAACURMMHAFCMzm/4BHzQyTR8naqkPix3zL722ngkneWDCRPyfhcWf+TmxyMBgKak4YM0DR8AAFASDR8AQDE6ueET8EHn0/B1qlL7sNdOOy0eSWeZdc01eb8Liz9y8+ORAEBT0vBBmoYPAAAoiYYPAKAYndnwCfigJjR8nWp2iX3Yi/36ffLWW/FgOsVrp52W97uw+ENnCQBNTsMHaRo+AACgJBo+AIBidFrDJ+CDWtHwdarXfvnLvAKs4DHn4YfjwVTfp2+99eIee+T9Fiz+yM3PPSoeDwA0Hw0fpGn4AACAkmj4AACK0TkNn4APakjD13nK6MNyx6xRo+LxVN8HDz+cd/6LOXKPiscDAM1HwwdpGj4AAKAkGj4AgGJ0QsMn4IPa0vB1nvL6sNd++ct4PNU3a9SovPNfzKGzBIBmpuGDNA0fAABQEg0fAEAxqt3wCfig5jR8nWd2WX3Yi3vu+embb8YSVFkZH3acO3SWANDMNHyQpuEDAABKouEDAChGVRs+AR/UAw1f5ymvD8sdcx56KJagmj59882X9tor7+QXc+QepbMEgKal4YM0DR8AAFASDR8AQDGq1/AJ+KBOaPg6ySdvvFFeH5Y7Zo0cGatQTR889FDemS/+yD02VgEAmoyGD9I0fAAAQEk0fAAAxahSwyfgg/qh4eskcx58MK/6Kv547bTTYhWqadbIkXlnvvhDZwkATUvDB2kaPgAAoCQaPgCAYlSj4XvsMQEf1BENXyeZ9Yc/5FVfxR8v7b33p2+8EQtRNa+ddlremS/+0FkCQNPS8EGahg+AjrzVnrlz58YwAM1KwwdARz755JO4cmgtd3/MgGaSecP32GPz99gjv9tbdPTtO/8vf4mZQOfQ8HWS1049Na/6KumY8+CDsRDV8cnrr7+49955p734I/fY3AqxFgDQTDR8kKbhA6Bdn332WbwqtHbTTTfFDACalYYPgI48/fTT8arQ2l//+teYAc0k24ZPwAd1SMPXGT55/fWX+vfPq75KOmb94Q+xFtUx54EH8s55qUduhVgLAGgmGj5I0/AB0C4NHwAd0fAB0BENH6Rl2PAJ+KA+afg6Q+V92GunnhprUR2zRozIO+elHrkVYi0AoJlo+CBNwwdAuzR8AHREwwdARzR8kJZVwyfgg7ql4esMlfdhL+2zzyczZsRyVMH0U07JO+elHrkVYi0AoJlo+CBNwwdAuzR8AHREwwdARzR8kJZJwyfgg3qm4esMr1Xch+WO922WVfPJjBkv7bNP3gkv9dBZAkBz0vBB2vDhwy9s4957741hAJqVhg+Ajrz33ntx5dDa1KlTYwYAzUrDB2mVN3wCPqhzGr6q+2TGjL8PGJDXe5VxzLz66liRrM35y1/yznZ5R26dWBEAaBoaPgCAgjR8AABAqTR8kFZhwyfgg/qn4au6rPqw6b/4RaxI1mZdfXXe2S7vyK0TKwIATUPDBwBQkIYPAAAolYYP0ipp+AR80BA0fFWXVR/2vx/V+tprsSiZmv6LX+Sd7fIOnSUANCENHwBAQRo+AACgVBo+SCu74RPwQaPQ8FXdaxn1Ybljzv33x6Jk55PXXntpn33yTnV5h84SAJqQhg8AoCANHwAAUCoNH6SV1/AJ+KCBaPiq6+Pp0z/66187OvIKsOSYff31edPSR6xLdvLOcN6R97uTHHlz8o5YFwBoDho+AICCNHwAAECpNHyQVkbDJ+CDxqLhq6W8Miw5Zl9/fQxTax913PDFDACg6Wn4AAAK0vABAACl0vBBWqkNn4APGo6Gr5byyrDk0PDVDw0fAFCQhg8AoCANHwAAUCoNH6SV1PAJ+KARafhqKa8MSw4NX/3Q8AEABWn4AAAK0vABAACl0vBBWvENn4APGpSGr5byyrDk0PDVDw0fAFCQhg8AoCANHwAAUCoNH6QV2fA99ZSADxqVhq+W8sqw5NDw1Q8NHwBQkIYPAKAgDR8AAFAqDR+kFdPwPfXU/L32yu/2Fh0CPqhzGr5ayivDkkPDVz80fABAQRo+AICCNHwAAECpNHyQVrDhE/BBo9Pw1VJeGZYcGr76oeEDAArS8AEAFKThAwAASqXhg7TFN3wCPugCNHy1lFeGJYeGr35o+ACAgjR8AAAFafgAAIBSafggbTENn4APugYNXy3llWHJoeGrHxo+AKAgDR8AQEEaPgAAoFQaPkjrqOEbO3b6YgK+3XcX8EHD0PDVUl4Zlhwavvqh4QMACtLwAQAUpOEDAABKpeGDtHYbvh/+8Kidd/4gr9tbdOy++/yHH46HA/VPw1dLeWVYcmj46oeGDwAoSMMHAFCQhg8AACiVhg/S2jZ8P/zhUV//+kPbbTc3L91LDgEfNBwNXy3llWHJoeGrHxo+AKAgDR8AQEEaPgAAoFQaPkjLa/iSgK9Hj0fabfgEfNCINHy1lFeGJYeGr35o+ACAgjR8AAAFafgAAIBSafggLd3wLQr42m34BHzQoDR8tZRXhiWHhq9+aPgAgII0fAAABWn4AACAUmn4IG1Rw5cO+No2fAI+aFwavlrKK8OSQ8NXPzR8AEBBGj4AgII0fAAAQKk0fJCWNHx5AV9ew9eIAd+DD84fPHh+//7zTz99/gcfxJ3QnDR8tZRXhiWHhq9+aPgAgII0fAAABWn4AACAUmn4IG3ChAnbbHNEut5LjnTD98ADMblR3HdffOXJceSR8+fOjSFoQhq+Wsorw5JDw1c/NHwAQEEaPgCAgjR8AABAqTR8kDZu3KRVVhmfF/DljkUN31/+EjMbxb33tgr4kuOMM2IUmpCGr5byyrDk0PDVDw0fAFCQhg8AoCANHwAAUCoNH6RdeOEzefVecmy33dxG/Ajdv/xlft+++QFfcrz7bsyBZqPhq6W8Miw5NHz1Q8MHABSk4YO0+++//542pkyZEsMANCsNHwAd+fDDD+PKobUZM2bEDACalYYP0s4++7m8ei85tttubsN9hG6778C36Jg2LaZBs9Hw1VJeGZYcGr76oeEDAArS8EHaoEGD4q9BykUXXRTDADQrDR8AHXn99dfjVaG1++67L2YA0Kw0fJD2pz89nlfvJcd//3eD/ZcPue/y8qK99DF4cEyDJqThq6W8Miw5NHz1Q8MHABSk4YM0DR8A7dLwAdARDR8AHdHwQdqECRO22OJXeQHf97530t///veY0Qj+/Of8aC999O8//9VXYyY0IQ1fLeWVYcmh4asfGj4AoCANH6Rp+ABo1z//+c8/t6exftIAQDVo+ADoyNtvvx1XDq3l7o8Z0EwmTJiQ+x7p+98/fvXVb//61x9ac83R2247OHdPA11Z33vv/L5987u9RUf//vOffz5mQnPS8NVSXhmWHBq++qHhAwAK0vBBmoYPAAAoiYYPAKAYScPXVqM0fAI+KEjDV0t5ZVhyaPjqh4YPAChIwwdpGj4AAKAkGj4AgGI0dMMn4INiaPhqKa8MSw4NX/3Q8AEABWn4IE3DBwAAlETDBwBQjMZt+AR8UCQNXy3llWHJoeGrHxo+AKAgDR+kafgAAICSaPgAAIrRoA2fgA+Kp+GrpbwyLDk0fPVDwwcAFKThgzQNHwAAUBINHwBAMRqx4RPwQUk0fLWUV4Ylh4avfmj4AICCNHyQpuEDAABKouEDAChGwzV8Aj4olYavlvLKsOTQ8NUPDR8AUJCGD9I0fAAAQEk0fAAAxWishk/AB2XQ8NVSXhmWHBq++qHhAwAK0vBBmoYPAAAoiYYPAKAYDdTwCfigPBq+Wsorw5JDw1c/NHwAQEEaPkjT8AEAACXR8AEAFKNRGj4BH5RNw1dLeWVYcmj46oeGD4BivP766y9VzfTp0+NpKjNv3rxYsTrmzp0bz1SZRjyZP/nJT7Zr46STTorh0jXzycyck5mhIk9mwYbPyczxJzNDTmaGnMwMOZkZcjIz5GRmyMnMkJOZoQY9mbmniyuH1hbf8DmZOf5kZsjJzJCTmSEnM0NOZoaczAyVdDIX0/DVz8lcfMD34x9/dO+9r8aiWWu2P5mx3EsvzZ49O+6i8Wn4aimvDEsODV/90PABUIyhQ4fGdVIVnHDCCfE0lXnuuedixeqYPHlyPFNlGuJkPv/887HiAr169erRxnrrrRfDpWvmk5k5JzNDRZ7Mgg2fk5njT2aGnMwMZXUyTz/99FixCpzMDDmZGTr++OPjaSrjZOY4mRlyMjPkZGao7cl8vayGz8nM8SczQ05mhpzMDDmZGWqUk/noo4/GM1XGyczpeidzMQ1fnZzMgu/Ad/TRF8WKVdBsfzJjuR//eMSIEXEXjU/DV0t5ZVhyaPjqh4YPgGI0xE/9NXw5VfpBtYavEtW+GHYyM1TkydTwFcOfzAw5mRnK6mRW9Z+2ncwMOZkZ8rPVDDmZGXIyM+RkZqjtydTwlc2fzAw5mRlyMjPkZGaoUU6mhi9DGr4MFXMyi/kIXX8yczR8LIaGr5byyrDk0PDVDw0fAMVoiJ/6a/hyqvSDag1fJap9MexkZqjIk6nhK4Y/mRlyMjOU1cms6r/GOpkZcjIz5GerGXIyM+RkZsjJzFDbk6nhK5s/mRlyMjPkZGbIycxQo5xMDV+GNHwZKngyiwn4cvzJzNHwsRgavlrKK8OSQ8NXPzR8ABSjIX7qr+HLqdIPqjV8laj2xbCTmaEiT6aGrxj+ZGbIycxQViezqv8a62RmyMnMkJ+tZsjJzJCTmSEnM0NtT6aGr2z+ZGbIycyQk5khJzNDjXIyNXwZ0vBlaPEns8iAL8efzBwNH4uh4aulvDIsOTR89UPDB0AxGuKn/hq+nCr9oFrDV4lqXww7mRkq8mRq+IrhT2aGnMwMZXUyq/qvsU5mhpzMDPnZaoaczAw5mRlyMjPU9mRq+MrmT2aGnMwMOZkZcjIz1CgnU8OXIQ1fhhZzMosP+HL8yczR8LEYGr5ayivDkkPDVz80fAAUoyF+6q/hy6nSD6o1fJWo9sWwk5mhIk+mhq8Y/mRmyMnMUFYns6r/GutkZsjJzJCfrWbIycyQk5khJzNDbU+mhq9s/mRmyMnMkJOZISczQ41yMjV8GdLwZaijk1lSwJfjT2aOho/F0PDVUl4Zlhwavvqh4QOgGA3xU38NX06VflCt4atEtS+GncwMFXkyNXzF8CczQ05mhrI6mVX911gnM0NOZob8bDVDTmaGnMwMOZkZansyNXxl8yczQ05mhpzMDDmZGWqUk6nhy5CGL0PtnszFB3wDBuR+i2PmIv5k5mj4WAwNXy3llWHJoeGrHxo+AIrx7LPPTqyav/3tb/E0lZkzZ06sWB3vvPNOPFNlGvFk7r333lu3ceSRR8Zw6Zr5ZGbOycxQkSezYMPnZOb4k5khJzNDTmaGnMwMOZkZcjIz5GRmyMnMUIOezPIaPiczx5/MDDmZGXIyM+RkZsjJzJCTmaGSTuZiGr7OP5kFA76//z1mpvmTmZPVn8xYbuLEV155Je6i8Wn4aimvDEsODV/90PABAAUdeeSRcaGc8pvf/CaGockUbPgAAADSymv4AACazWIavpjRWe6+u5yADyhIw1dLeWVYcmj46oeGDwAoSMMHaRo+AACgJBo+AIBi1EnDd/fd+dFe+hDwQSU0fLWUV4Ylh4avfmj4AICCNHyQpuEDAABKouEDAChGPTR8Aj6oKg1fLeWVYcmh4asfGj4AoCANH6Rp+AAAgJJo+AAAilHzhk/AB9Wm4aulvDIsOTR89UPDBwAUpOGDNA0fAABQEg0fAEAxatvwCfigE2j4aimvDEsODV/90PABAAVp+CBNwwdAuz7//PML2jNp0qSYAUCz0vAB0JFp06bFlUNr06dPjxnQTGrY8An4oHNo+GoprwxLDg1f/dDwAQAFafggTcMHQLs+++yzeFVo7aabbooZADQrDR8AHXn66afjVaG1v/pZLU2pVg2fgA86jYavlvLKsOTQ8NUPDR8AUJCGD9I0fAC0S8MHQEc0fAB0RMMHaTVp+AR80Jk0fLWUV4Ylh4avfmj4AICCNHyQpuEDoF0aPgA6ouEDoCMaPkjr/IZPwAedTMNXS3llWHJo+OqHhg8AKEjDB2kaPgDapeEDoCMaPgA6ouGDtE5u+AR80Pk0fLWUV4Ylh4avfmj4AICCNHyQNnv27JltzJkzJ4YBaFYaPgA6knuNiCuH1ubNmxczAGhWGj5I68yGT8AHNaHhq6W8Miw5NHz1Q8MHABSk4QMAKEjDBwAAlErDB2md1vAJ+KBWNHy1lFeGJYeGr35o+ACAgjR8AAAFafgAAIBSafggrXMaPgEf1JCGr5byyrDk0PDVDw0fAFCQhg8AoCANHwAAUCoNH6R1QsMn4IPa0vDVUl4Zlhwavvqh4QMACtLwAQAUpOEDAABKpeGDtGo3fAI+qDkNXy3llWHJoeGrHxo+AKAgDR8AQEEaPgAAoFQaPkirasMn4IN6oOGrpbwyLDk0fPVDwwcAFKThAwAoSMMHAACUSsMHadVr+AR8UCc0fLWUV4Ylh4avfmj4AICCNHwAAAVp+AAAgFJp+CCtSg2fgA/qh4avlvLKsOTQ8NUPDR8AUJCGDwCgIA0fAABQKg0fpFWj4Vt8wLfvvgI+6FQavlrKK8OSQ8NXPzR8AEBBGj4AgII0fAAAQKk0fJCWecNXMOB75ZWYCXQODV8t5ZVhyaHhqx8aPgCgIA0fAEBBGj4AAKBUGj5Iy7bhu/32/GgvfQj4oCY0fLWUV4Ylh4avfmj4AICCNHwAAAVp+AAAgFJp+CAtw4ZPwAf1ScNXS3llWHJo+OqHhg8AKEjDBwBQkIYPAAAolYYP0rJq+AR8ULc0fLWUV4Ylh4avfmj4AICCNHwAAAVp+AAAgFJp+CAtk4ZPwAf1TMNXS3llWHJo+OqHhg8AKEjDBwBQkIYPAAAolYYP0ipv+AR8UOc0fLWUV4Ylh4avfmj4AICCNHwAAAVp+AAAgFJp+CCtwoZPwAf1T8NXS3llWHJo+OqHhg8AKEjDBwBQkIYPAAAolYYP0ipp+AR80BA0fLWUV4Ylh4avfmj4AICCNHwAAAVp+AAAgFJp+CCt7IZPwAeNQsNXS3llWHJo+OqHhg8AKEjDBwBQkIYPAAAolYYP0spr+AR80EA0fLWUV4Ylh4avfmj4AICCNHwAAAVp+AAAgFJp+CCtjIZPwAeNRcNXS3llWHJo+OqHhg8AKEjDBwBQkIYPAAAolYYP0kpt+AR80HA0fLWUV4Ylh4avfmj4AICCNHwAAAVp+AAAgFJp+CCtpIZPwAeNSMNXS3llWHJo+OqHhg8AKEjDBwBQkIYPAAAolYYP0opv+AR80KA0fLWUV4Ylh4avfmj4AICCNHwAAAVp+AAAgFJp+CCtyIZPwAeNS8NXS3llWHJo+OqHhg8AKEjDB2nHH3/8T9sYMWJEDAPQrDR8AHTkrbfeiiuH1h566KGYAUCz0vBBWjENn4APGpqGr5byyrDk0PDVDw0fAFCQhg/SBg0aFH8NUi666KIYBqBZafgA6Mjrr78erwqt3XfffTEDgGal4YO0gg2fgA8anYavlvLKsOTQ8NUPDR8AUJCGD9I0fAC06/PPPz+oPWPGjIkZADQrDR8AHZk6dWpcObT27LPPxgxoJotv+AR80AVo+GoprwxLDg1f/dDwAQAFafggTcMHAACURMMHAFCMxTR8Aj7oGjR8tZRXhiWHhq9+aPgAgII0fJCm4QMAAEqi4QMAKEZHDd/w4W/kRXvpY//9BXzQMDR8tZRXhiWHhq9+aPgAgII0fJCm4QMAAEqi4QMAKEa7Dd/mm5++3XZz87q9Rcf++8+fPj0eDtQ/DV8t5ZVhyaHhqx8aPgCgIA0fpGn4AACAkmj4AACK0bbh22yzs3r0eKSjhk/ABw1Hw1dLeWVYcmj46oeGDwAoSMMHaRo+AACgJBo+AIBi5DV8ScDXUcMn4INGpOGrpbwyLDk0fPVDwwcAFKThgzQNHwAAUBINHwBAMdIN36KAr92GT8AHDUrDV0t5ZVhyaPjqh4YPAChIwwdpGj4AAKAkGj4AgGIsavjSAV/bhk/AB41Lw1dLeWVYcmj46oeGDwAoSMMHaRo+AACgJBo+AIBiJA1fXsCX1/A1YsA3duz8wYPn9+8//1e/mv/GG3En/P/s/Qm0HGWd+P9zfrgADi4IAxLgi+IgGkHWYR0HZREVgYARRHRCGCMgIotiWJzJiIILiIqyChkQQUBkcwEE8meGXWQJRoIoIGTIGNYQg2EJ999z60NOVfW9qe57u29Vd71e5zlz5nY9XdW4PJVKv71PPWn4ypQrw5Kh4asODR8AUEjDB2kaPgAAoC0aPgCAVtxyyy2bbz4tF/A1xpKGb++9Bx55JCb3iu9/P+rDZOy118Cf/xyHoIY0fGXKlWHJ0PBVh4YPACik4YM0DR8AANAWDR8AQCuuuOK3uXovGUnD14sB3/e+lwn4kvGZz8RRqCENX5lyZVgyNHzVoeEDAApp+CBNwwcAALRFwwcA0IpvfWt2rt5LxnbbLey5LXRffnngu9/N13tLxty5MQ3qRsNXplwZlgwNX3Vo+ACAQho+SNPwAQAAbdHwAQC04sQT78vVe8nYddcF/RTwNcYzz8RMqBsNX5lyZVgyNHzVoeEDAApp+CBNwwcAALRFwwcA0Ipf//o3a6wxIxfwjRv3/7v55h7bQ/fkk/PRXnp85SsxDWpIw1emXBmWDA1fdWj4AIBCGj5I0/ABAABt0fABALTilltued/7Dhg37oYlAd+aa/56++33ffDBB2NGL1h6wHfAAQMLF8ZMqCENX5lyZVgyNHzVoeEDAApp+CBNwwcAALRFwwcA0Ipbbrml8WekD3xgn3e96+w11pix/vqnfOhDH2280isNX+EWugccYBdd6k7DV6ZcGZYMDV91aPgAgEIaPkjT8AEAAG3R8AEAtCJp+Jr1RMNXGPBNmSLgAw1fqXJlWDI0fNWh4QMACmn4IE3DBwAAtEXDBwDQit5t+FoJ+J56KiZDnWn4ypQrw5Kh4asODR8AUEjDB2kaPgAAoC0aPgCAVvRowyfgg9Zp+MqUK8OSoeGrDg0fAFBIwwdpGj4AAKAtGj4AgFb0YsMn4IO2aPjKlCvDkqHhqw4NHwBQSMMHaRo+AACgLRo+AIBW9GLDJ+CDtmj4ypQrw5Kh4asODR8AUEjDB2kaPgAAoC0aPgCAVvRcw3fKKfloLz0EfNBMw1emXBmWDA1fdWj4AIBCGj5I0/ABAABt0fABALSitxo+AR+MgIavTLkyLBkavurQ8AEAhTR8kKbhAwAA2qLhAwBoRQ81fAI+GBkNX5lyZVgyNHzVoeEDAApp+CBNwwfAcOYNZeHChXEYgLrS8AEwnBdeeCGeHLIar8cMqJNeafgEfDBiGr4y5cqwZGj4qkPDBwAU0vBBmoYPgCG99NJLcVfIuvDCC2MGAHWl4QNgODNnzoy7Qta9vqullnqi4RPwwWho+MqUK8OSoeGrDg0fAFBIwwdpGj4AhqThA2A4Gj4AhqPhg7TqN3wCPhglDV+ZcmVYMjR81aHhAwAKafggTcMHwJA0fAAMR8MHwHA0fJBW8YZPwAejp+ErU64MS4aGrzo0fABAIQ0fpGn4ABiShg+A4Wj4ABiOhg/SqtzwCfigIzR8ZcqVYcnQ8FWHhg8AKKThg7Szzjrre02uu+66OAxAXWn4ABjO/Pnz48kh67777osZANSVhg/SKtvwCfigUzR8ZcqVYcnQ8FWHhg8AKKThAwAopOEDAADapeGDtGo2fAI+6CANX5lyZVgyNHzVoeEDAApp+AAACmn4AACAdmn4IK2CDd/SA7799hPwQXs0fGXKlWHJ0PBVh4YPACik4QMAKKThAwAA2qXhg7SqNXyFAd8TT8RMoEUavjLlyrBkaPiqQ8MHABTS8AEAFNLwAQAA7dLwQVqlGj4BH3SDhq9MuTIsGRq+6tDwAQCFNHwAAIU0fAAAQLs0fJBWnYZPwAddouErU64MS4aGrzo0fABAIQ0fAEAhDR8AANAuDR+kVaThE/BB92j4ypQrw5Kh4asODR8AUEjDBwBQSMMHAAC0S8MHaVVo+AR80FUavjLlyrBkaPiqQ8MHABTS8AEAFNLwAQAA7dLwQVrpDd+ZZ+ajvfQQ8MHoafjKlCvDkqHhqw4NHwBQSMMHAFBIwwcAALRLwwdp5TZ8Aj4YAxq+MuXKsGRo+KpDwwcAFNLwAQAU0vABAADt0vBBWokNn4APxoaGr0y5MiwZGr7q0PABAIU0fAAAhTR8AABAuzR8kFZWwyfggzGj4StTrgxLhoavOjR8AEAhDR8AQCENHwAA0C4NH6SV0vAJ+GAsafjKlCvDkqHhqw4NHwBQSMMHAFBIwwcAALRLwwdpY9/wCfhgjGn4ypQrw5Kh4asODR8AUEjDBwBQSMMHAAC0S8MHaWPc8An4YOxp+MqUK8OSoeGrDg0fAFBIwwcAUEjDBwAAtEvDB2lj2fAJ+KAUGr4y5cqwZGj4qkPDBwAU0vABABTS8AEAAO3S8EHamDV8Aj4oi4avTLkyLBkavurQ8AEAhTR8AACFNHwAAEC7NHyQNjYNn4APSqThK1OuDEuGhq86NHwAQCENHwBAIQ0fAADQLg0fpI1Bw7f0gG/ffQV80F0avjLlyrBkaPiqQ8MHABTS8AEAFNLwAQAA7dLwQVq3G77CgO8vf4mZQJdo+MqUK8OSoeGrDg0fAFBIwwcAUEjDBwAAtEvDB2ldbfgEfFAFGr4y5cqwZGj4qkPDBwAU0vABABTS8AEAAO3S8EFa9xo+AR9UhIavTLkyLBkavurQ8AEAhTR8AACFNHwAAEC7NHyQ1qWGT8AH1aHhK1OuDEuGhq86NHwAQCENHwBAIQ0fAADQLg0fpHWj4TvnnHy0lx4CPhhjGr4y5cqwZGj4qkPDBwAU0vBB2g033HBNk1mzZsVhAOpKwwfAcJ577rl4csh67LHHYgYAdaXhg7SON3wCPqgaDV+ZcmVYMjR81aHhAwAKafggbdKkSfFfg5STTz45DgNQVxo+AIYzd+7cuCtkXX/99TEDgLrS8EFaZxs+AR9UkIavTLkyLBkavurQ8AEAhTR8kKbhA2BIGj4AhqPhA2A4Gj5I62DDJ+CDatLwlSlXhiVDw1cdGj4AoJCGD9I0fAAM6eWXX/71UEa84w8AfUPDB8BwnnrqqXhyyGq8HjOgTjrV8An4oLI0fGXKlWHJ0PBVh4YPACik4YM0DR8AANAWDR8AQCs60vAJ+KDKNHxlypVhydDwVYeGDwAopOGDNA0fAADQFg0fAEArRt/wCfig4jR8ZcqVYcnQ8FWHhg8AKKThgzQNHwAA0BYNHwBAK0bZ8An4oPo0fGXKlWHJ0PBVh4YPACik4YM0DR8AANAWDR8AQCtG0/AJ+KAnaPjKlCvDkqHhqw4NHwBQSMMHaRo+AACgLRo+AIBWjLjhE/BBr9DwlSlXhiVDw1cdGj4AoJCGD9I0fAAAQFs0fAAArRhZw7f0gO9TnxLwQYVo+MqUK8OSoeGrDg0fAFBIwwdpGj4AAKAtGj4AgFaMoOErDPgeeyxmAlWg4StTrgxLhoavOjR8AEAhDR+kafgAAIC2aPgAAFrRbsMn4IOeo+ErU64MS4aGrzo0fABAIQ0fpGn4AACAtmj4AABa0VbDJ+CDXqThK1OuDEuGhq86NHwAQCENH6Rp+AAAgLZo+AAAWtF6wyfggx6l4StTrgxLhoavOjR8AEAhDR+kafgAAIC2aPgAAFrRYsN3/vn5aC89BHxQZRq+MuXKsGRo+KpDwwcAFNLwQZqGDwAAaIuGDwCgFa00fBdfnI/20kPABxWn4StTrgxLhoavOjR8AEAhDR+kafgAAIC2aPgAAFpR2PAJ+KDXafjKlCvDkqHhqw4NHwBQSMMHaRo+AACgLRo+AIBWLL3hE/BBH9DwlSlXhiVDw1cdGj4AoJCGD9I0fAAAQFs0fAAArVhKwyfgg/6g4StTrgxLhoavOjR8AEAhDR+kafgAAIC2aPgAAFoxXMP3gx/8JRftpYeAD3qIhq9MuTIsGRq+6tDwAQCFNHyQpuEDAADaouEDAGjFkA3fppt+fbvtFua6vSVDwAe9RcNXplwZlgwNX3Vo+ACAQho+SNPwAQAAbdHwAQC0ornh23TTr6+66m3DNXwCPug5Gr4y5cqwZGj4qkPDBwAU0vBBmoYPAABoi4YPAKAVuYYvCfiGa/gEfNCLNHxlypVhydDwVYeGDwAopOGDNA0fAADQFg0fAEAr0g3fkoBvyIZPwAc9SsNXplwZlgwNX3Vo+ACAQho+SNPwAQAAbdHwAQC0YknDlw74mhu+Xgz4nnhi4IEHBp5/Pn6E2tLwlSlXhiVDw1cdGj4AoJCGD9I0fAAAQFs0fAAArUgavlzAl2v49tmnxwK+l18eOOWU+PB77fV/JR/UmYavTLkyLBkavurQ8AEAhTR8kKbhAwAA2qLhAwBoxS233LL55tNyAV9jLGn4PvGJgUcfjcm94rvfjYAvGR/72MCf/xyHoIY0fGXKlWHJ0PBVh4YPACik4YM0DR8AQ1q8ePF3h3L77bfHDADqSsMHwHAeffTReHLImjNnTsyAOrniit/m6r1kJA1fHwR8yfjMZ+Io1JCGr0y5MiwZGr7q0PABAIU0fJCm4QNgSC+99FLcFbIuvPDCmAFAXWn4ABjOzJkz466Qda/vaqmlb31rdq7eS8Z22y3cZ58eC/hefnngpJPy9d6SMXduTIO60fCVKVeGJUPDVx0aPgCgkIYP0jR8AAxJwwfAcDR8AAxHwwdpJ554X67eS8Zuuy3op4CvMZ55JmZC3Wj4ypQrw5Kh4asODR8AUEjDB2kaPgCGpOEDYDgaPgCGo+GDtF//+jdrrDEjF/CNGzfj5psfiRk9YsgtdJeMr3wlpkENafjKlCvDkqHhqw4NHwBQSMMHaRo+AIak4QNgOBo+AIaj4YO0W2655X3vO2DcuBuWBHxrrvnr7bff98EHH4wZvWDpv4HvgAMGFi6MmVBDGr4y5cqwZGj4qkPDBwAU0vBB2pNPPvl4kwULFsRhAOpKwwfAcBr3iHhyyFq0aFHMAKCuNHyQdssttzT+8/+BD+yzwQY/eMc7zt9ww+986EMfbbzSKw3fyy8PfPOb+WgvPfbff2D+/JgM9aThK1OuDEuGhq86NHwAQCENHwBAIQ0fAADQLg0fpCUNX7OeaPgEfNAKDV+ZcmVYMjR81aHhAwAKafgAAApp+AAAgHZp+CCtdxs+AR+0SMNXplwZlgwNX3Vo+ACAQho+AIBCGj4AAKBdGj5I69GGT8AHrdPwlSlXhiVDw1cdGj4AoJCGDwCgkIYPAABol4YP0nqx4RPwQVs0fGXKlWHJ0PBVh4YPACik4QMAKKThAwAA2qXhg7Sea/gEfNAuDV+ZcmVYMjR81aHhAwAKafgAAApp+AAAgHZp+CCttxo+AR+MgIavTLkyLBkavurQ8AEAhTR8AACFNHwAAEC7NHyQ1kMNn4APRkbDV6ZcGZYMDV91aPgAgEIaPgCAQho+AACgXRo+SOuVhk/AByOm4StTrgxLhoavOjR8AEAhDR8AQCENHwAA0C4NH6T1RMMn4IPR0PCVKVeGJUPDVx0aPgCgkIYPAKCQhg8AAGiXhg/Sqt/wCfhglDR8ZcqVYcnQ8FWHhg8AKKThAwAopOEDAADapeGDtIo3fAI+GD0NX5lyZVgyNHzVoeEDAApp+AAACmn4AACAdmn4IK3KDZ+ADzpCw1emXBmWDA1fdWj4AIBCGj4AgEIaPgAAoF0aPkirbMMn4INO0fCVKVeGJUPDVx0aPgCgkIYPAKCQhg8AAGiXhg/SqtnwCfiggzR8ZcqVYcnQ8FWHhg8AKKThAwAopOEDAADapeGDtAo2fAI+6CwNX5lyZVgyNHzVoeEDAApp+AAACmn4AACAdmn4IK1qDZ+ADzpOw1emXBmWDA1fdWj4AIBCGj4AgEIaPgAAoF0aPkirVMNXGPB99rMCPmibhq9MuTIsGRq+6tDwAQCFNHwAAIU0fAAAQLs0fJBWnYavlYBvwYKYDLROw1emXBmWDA1fdWj4AIBCGj4AgEIaPgAAoF0aPkirSMO3eLGAD7pFw1emXBmWDA1fdWj4AIBCGj4AgEIaPgAAoF0aPkirQsO3ePHAccflo730EPDBaGj4ypQrw5Kh4asODR8AUEjDBwBQSMMHAAC0S8MHaaU3fAI+6DYNX5lyZVgyNHzVoeEDAApp+AAACmn4AACAdmn4IK3chk/AB2NAw1emXBmWDA1fdWj4AIBCGj4AgEIaPgAAoF0aPkgrseET8MHY0PCVKVeGJUPDVx0aPgCgkIYP0g477LB9m0yfPj0OA1BXGj4AhjNv3rx4csi66aabYgYAdaXhg7SyGj4BH4wZDV+ZcmVYMjR81aHhAwAKafggbdKkSfFfg5STTz45DgNQVxo+AIYzd+7cuCtkXX/99TEDgLrS8EFaKQ2fgA/GkoavTLkyLBkavurQ8AEAhTR8kKbhA2BIixcvnjyUK6+8MmYAUFcaPgCGc99998WTQ9bs2bNjBtTJ2Dd8Aj4YYxq+MuXKsGRo+KpDwwcAFNLwQZqGDwAAaIuGDwCgFWPc8An4YOxp+MqUK8OSoeGrDg0fAFBIwwdpGj4AAKAtGj4AgFaMZcMn4INSaPjKlCvDkqHhqw4NHwBQSMMHaRo+AACgLRo+AIBWjFnDJ+CDsmj4ypQrw5Kh4asODR8AUEjDB2kaPgAAoC0aPgCAVoxNwyfggxJp+MqUK8OSoeGrDg0fAFBIwwdpGj4AAKAtGj4AgFaMQcMn4INyafjKlCvDkqHhqw4NHwBQSMMHaRo+AACgLRo+AIBWdLvhE/BB6TR8ZcqVYcnQ8FWHhg8AKKThgzQNHwAA0BYNHwBAK7ra8An4oAo0fGXKlWHJ0PBVh4YPACik4YM0DR8AANAWDR8AQCu61/AJ+KAiNHxlypVhydDwVYeGDwAopOGDNA0fAADQFg0fAEArutTwCfigOjR8ZcqVYcnQ8FWHhg8AKKThgzQNHwAA0BYNHwBAK7rR8An4oFI0fGXKlWHJ0PBVh4YPACik4YM0DR8AANAWDR8AQCs63vAVBnyf/7yAD8aUhq9MuTIsGRq+6tDwAQCFNHyQpuEDAADaouEDAGhFZxu+VgK+hQtjMjA2NHxlypVhydDwVYeGDwAopOGDNA0fAADQFg0fAEArOtjwvfSSgA+qSMNXplwZlgwNX3Vo+ACAQho+SNPwAQAAbdHwAQC0olMN30svDfzHf+SjvfQQ8EFZNHxlypVhydDwVYeGDwAopOGDNA0fAADQFg0fAEArOtLwCfigyjR8ZcqVYcnQ8FWHhg8AKKThgzQNHwAA0BYNHwBAK0bf8An4oOI0fGXKlWHJ0PBVh4YPACik4YM0DR8AANAWDR8AQCtG2fAJ+KD6NHxlypVhydDwVYeGDwAopOGDNA0fAADQFg0fAEArRtPwCfigJ2j4ypQrw5Kh4asODR8AUEjDB2kaPgAAoC0aPgCAVoy44RPwQa/Q8JUpV4YlQ8NXHRo+AKCQhg/SNHwAAEBbNHwAAK0YWcMn4IMeouErU64MS4aGrzo0fABAIQ0fpGn4AACAtmj4AABaMYKGT8AHvUXDV6ZcGZYMDV91aPgAgEIaPkjT8AEAAG3R8AEAtKLdhk/ABz1Hw1emXBmWDA1fdWj4AIBCGj5I0/ABAABt0fABALSirYZPwAe9SMNXplwZlgwNX3Vo+ACgFTMGxQ8V8OSTTyYf6f7771+0aFG82jUaPkjT8AEwnHlDWegbA4Da0/ABMJwXXnghnhyyGq/HDKiT1hs+AR/0KA1fmXJlWDI0fNWh4QOAQt/4xjeWGTRx4sR4aczNnTv3/PPP//KXv7z77ru/9a1vTT7PEmuvvfZ22203efLkadOmPfLII/GeztHwQZqGD4AhvfTSS3FXyLrwwgtjBgB1peEDYDgzZ86Mu0LWvb6rpZZabPgEfNC7NHxlypVhydDwVYeGDwCW4rnnnvvXf/3XCOWWWWbbbbeNA2Po2Wef/frXv77mmmvGhyiy8sorH3HEEbNnz473d4KGD9I0fAAMScMHwHA0fAAMR8MHaa00fAI+6GkavjLlyrBkaPiqQ8MHAMP5zW9+s+2220YZN2iMG76XXnrpe9/73nrrrReXH7TrrrseeeSR5557buPjLVy48Kmnnvr9738/Y8aMj3/84zFj0AorrHDQQQfdeeedca7R0fBBmoavbpK9y+OHinnuueeq/PGgbjR8JCq1Mj/77LP3339/4/PMnj37mWeeiVeBMafho1J3h4YFCxbcd999N9100x/+8Ienn346XgXKoOGDtMKGT8AHvU7DV6ZcGZYMDV91aPgAoNmMGTM+9alPRQ2XMpYN36xZszbeeOO48KA11ljjxz/+cRweygMPPHDMMce86lWvijcMuuiii+LwKGj4IE3DVytV2E59OPfcc8+S1rxSXwdCbWn4aCj9xtH4z2HjP3KNG8S666674oorJh9mieWXX/6tb33rVltt1XhwuOWWW+I9QPdp+GquCo8Vl1xyyWGHHfaxj31siy22WG211ZLPs8SrX/3qcePGbbjhhh//+Mc9XMAY0/BB2tIbPgEf9AENX5lyZVgyNHzVoeEDgCXmz59/5ZVX7r777vH3l03GrOGbNWvW+PHj46qDdttttzhWpPGPsNJKK8XbBo0+49PwQdpZZ531vSbXXXddHKZfVGE79aW45JJLxo0bFx9OwwfVoOGrudJvHDfeeOMXvvCFN7/5zfEJWrDWWmvtv//+F1xwQZwC6Jr58+fHk0PWfffdFzPoU6XfHf7yl7+cdNJJm222WXyC1qy77rpf/epX9UMwNjR89Lprrrmmca/p1GPFUho+AR/0Bw1fmXJlWDI0fNWh4QOg5ubPn/+rX/3qy1/+8nbbbbf88svHX1UOY2z+prU54LvyyivjWGtuvPHGt771rfHmQaPM+DR8QN2Uvp36Urz00ktLfo3HEho+qAINX52Ve+N48sknP/GJT8SFR+S9733vz372szgdAB1S7t3h7rvvPvTQQ1ddddW49qAdd9xx3333PeaYY0499dQrrrjiJz/5yZFHHtl4MQ432W233WbNmhVnBLpDw0fajEHxQy+45557lvxOgenTp8erozBcw/fAAw8K+KA/aPjKlCvDkqHhqw4NHwC1ctRRR33605/ebbfdttpqq3/4h3944xvfmDxbtmgM/qa1OeAb2TYrv/3tb1/72tfGKQaNJuPT8AH1MaMC26kP55lnnjnppJM22GCD+EwpvfXXu9CvNHz1VPqN47zzzsv9Hu5dd931iCOOOOuss2688cbHH3983rx5N9xww2mnnXbwwQfvsMMOMWkoe+65pw12ATqi9LvD9OnT//7v/z6uuswyH/jABxqv/PWvf43DTe68886jjz76ne98Z7wh5S1vecvZZ58d84Au0PCxRBX2Xm/XhAkTks/cMG3atHh1FIZs+HbeeddDDnkqF+2lx2GHCfigZ2j4ypQrw5Kh4asODR8AtbJt9n/93Ow973nP0Ucffeutt8bPWWPwN60f+MAH4mKveOyxx+JYm6ZOnRqneMVNN90Ux9qk4QP6XnW2Ux/SrFmzjj322NzvWE3T8EEVaPhqpSI3jtyv35syZcodd9wRx4Zx8cUXL/2xaJS/wxugzipydzj44IPjesss0/ijyO233x4HWjBx4sR4Z9ZnPvOZJ554IiYBHaXho6H0vddH5vvf/3584kFdavh23nnXd7zjx9tttzDX7S0Zhx028Le/xduB6tPwlSlXhiVDw1cdGj4AamW4L6ve+c53HnXUUb/5zW9iXuNPkEPp9pPzD3/4w7jSK0466aQ41r558+ats846caJBEyZMiGNt0vABfamC26mn/e53vzvjjDMmTZq07rrrxocYnoYPqkDD1/eqduM48MAD42Kt1XtpZ5999tprrx1vbiLjA2hdpe4Os2fPfu9735tc61WvetXxxx8fB9oxXMb3nve858EHH4xJQOdo+Ch37/UR+/3vf5/+na8N3Wj4koBv1VVvG67hE/BBz9HwlSlXhiVDw1cdGj4AaqXx6Pvxj3/88MMPP+GEE84///wZM2bcf//9zz77bBxOiYfOrK4+Oc+fPz+3i+7b3/72ODZSP/jBD+Jcrzj33HPjWDs0fEAfqPJ26o370SGHHLL33nvvsMMOG2644bhx41796lfHhbPe9KY3xf+XpeGDKtDw9Zkq3zgazjvvvLjSMsscfPDB8Wo7Fi5cGO8fiowPYEgVvzvstddeyYXWXXfdG264IV5t3/rrr5+cJ2efffaJGUDnaPjqbEbZe6+PxpKbzhIdb/h23nnXddf9yaqr3jZcwyfgg16k4StTrgxLhoavOjR8ADCkeOjM6uqTc+P5Ni7zis997nNxbKT+53/+Z9lll43TDdpggw0WLFgQh1um4QP6QGMNj6VwGCVupz5jxoy4zDCWX375iRMnnnvuuc03i4SGD6pAw9dnqnzjuPrqq+Myyyyz5557xqvtu/POO+MsQ7n88stjHgCvqPLd4YILLkiusuqqq952223x6ogcf/zxyamanXrqqTEJ6BANXw1VZO/10TjjjDPis6Z0tuFLB3xDNnwCPuhRGr4y5cqwZGj4qkPDBwBDiofOrO49Oc+aNev1r399XOYVv/zlL+PwKCzZQmWJETxIa/iAPjDcl21V2E59KQ3fhAkTzj333CX5tYYPqkzD12cqe+O48847V1lllSVXGfLXirduSfDRbOutt45JALyisneHhQsXbrTRRo1LLLfccpdeemm8OlJ//vOf3/CGNySfOadxD9IVQWdp+GqiUnuvj9Kf/vSnNddcMz5rSgcbvlzA19zw9WLAt3DhgE3poUHDV6ZcGZYMDV91aPgAYEjx0JnVvSfnz372s3GNV7zlLW+JY6NzzDHHxBlfseGGG8axlmn4gD7QWMMru51648M01tUpU6ZMmzbt9NNPv/LKK++4447HHnssDqdo+KDKNHx9prI3jgkTJiSXGDduXOMjxaujMNzNpeEb3/hGTAJgUGXvDrnFfNVVV504ceJoWooDDjggztVkt912i0lAJ2j4+lLF914fpX/5l3+JD5o1mvvOErfccktzwJdr+Hou4Gt82lNOiQ+/334Dd94Zr0M9afjKlCvDkqHhqw4NHwAMKR46s7r05PzCCy+MGzcurvGKD33oQ3F4dBpPvHHGlF/96ldxuDUaPqBWYq3Mqshfnmr4oMo0fLUVa3FWl24cN910U1xgmWW++tWvxqujM2vWrDhjk5VXXnn27NkxD4B2xEqa1b3Hio997GNxjawJEyY8/vjjMakd3//+9+MUTd785jfHJKATNHx9qbHgx6I5jBL3Xh+lc845Jz5lk041fOPHn5kL+BpjScPXcwHf3LkDBx4YAd+S8V//FUehhjR8ZcqVYcnQ8FWHhg8AhhQPnVldenI+99xz4wIpHXncTbzmNa+Jk75i//33j2Ot0fABtRJrZVZF/vJUwwdVpuGrrViLs7p042j8ST45/9vf/vYlO62P3sSJE5PTNps8eXJMAqAdsYxmde+xYv31149rNNl8881jUjsuvfTSeP9Q7rjjjpgHjJqGry81FvxYMbNK33t9lB599NF11lknPmWTjnyp8eMf35Or95KRNHxf+MLAc8/FzJ5w220DH/tYPuBrjH/5l5gANaThK1OuDEuGhq86NHwAMKR46Mzq0pPzks2w0jpYY6y99tpx0lesttpqTz/9dBxugYYPqJVYK7Mq8penGj6oMg1fbcVanNWNG8cf//jHv/u7v0vO/53vfCde7YSrrroqOe2Qrr766pgHQMtiDc3q0mNF4w8hyy67bFxjKA899FBMbdldd90Vbx7K6aefHvOAUdPw9aXGgl/NvddHacqUKfERh9KRhu9rX7s/V+8lY7vtFh5+eC8FfC+/PHDuuQO77JJJ99LjkUdiJtSNhq9MuTIsGRq+6tDwAcCQ4qEzqxtPzs8880ycPeuPf/xjzBi1LbfcMk6aMn369DjcAg0fUCuxUGZV5C9PNXxQZRq+2oq1OKsbN44ld4ENNtjg1FNP/fa3v91Y/+fNmxeHR2f8+PHJyZt97Wtfi0kAtCzW0KwuPVbce++9cYFhtPW3QImnn3463jyUKVOmxDxg1DR8NRcLa1Y1G76f/OQnycf75Cc/mfw/OR1p+E49dVau3kvGfvs900Nb6P71rwNHH52P9tJj990HFi6MyVA3Gr4y5cqwZGj4qkPDBwBDiofOrG48OZ922mlx9qxFixbFjFHbY4894qQpu+22WxxugYYPqJVYKLM0fEAhDV9txVqc1Y0bxz777BNnz+rQr7v4WpyuyYQJE2ISAC2LNTSrS48VM2fOjAsMYwQN3/z58+PNQ9l5551jHjBqGr6ai4U1q4IN37x58971rnc1Pttb3vKWhx56KPmcOR15MPnv/771bW+7PBfwve1tl953X9u/U7Ysf/rTwOTJ+WgvNy64ICZDDWn4ypQrw5Kh4asODR8ADCkeOrO68eTcOGecPWWVVVaJw51w0EEHxXmznnjiiZhRRMMH1EqsklkV+ctTDR9UmYavtmItzurGjWOLLbaIszfZb7/9YtJInXnmmXGuJmuuuWZMAqBlsYZmdemxYrhNHpa45557YmrLfve738Wbh/LlL3855gGjpuGruVhYsyry11Bpn/vc55LPdsYZZzR+TP7/nI40fLfccstOO318nXUuXRLwrbfeeR/+8B4PPvhgzKi2GTPyuV7zOOusmAz1pOErU64MS4aGrzo0fAAwpHjozOrGk/Nqq60WZ0/ZeOON43AnfPWrX43zZt18880xo4iGD6iVWCWzNHxAIQ1fbcVanNWNG8cqq6wSZx/KrFmzYt6IXH755XGiofzpT3+KeQC0JhbQrO49VkyZMiWu0WT99dePSe341a9+Fe8fysUXXxzzgFHT8NVcLKxZVWv4Lr300uSDfexjH0teSX7M6VTDl/xXYOutv7jppse9972HJj9Wv+F76aWBU0/N53q5sfvuA//1XzEfakvDV6ZcGZYMDV91aPgAYEjx0JnV8Sfnp59+Ok6dtcMOO8SMTjj11FPjvFn/+Z//GTOKaPiAWolVMkvDBxTS8NVWrMVZHb9xPP7443HqYYzyC7Nbb701TjSUC2z1BNCmWECzuvdYcccdd8Q1mlx00UUxqR1nnHFGvH8ov/vd72IeMGoavpqLhTWrUg3f/PnzN9poo8anWmmllWbPnp28mHzOnM42fDkVb/ieemrgC1/IF3u5sd9+Az3yywShuzR8ZcqVYcnQ8FWHhg8AhhQPnVkdf3JuPI7GqbN23XXXmNEJF110UZw366ijjooZRTR8QK3EKpml4QMKafhqK9birI7fOJbe2DVMnDgxpo7Igw8+GCcayhFHHBHzAGhNLKBZXX2suOeee3bccce40qDtttvutttui8Nt+vKXvxxnafKGN7xh8eLFMQ8YNQ1fzcXamlWphu/www9PPtXJJ58cLw3zsWvb8P3udwP77JMv9nLj3/994K9/jflQcxq+MuXKsGRo+KpDwwcAQ4qHzqyOPzlPnz49Tp211157xYxOuO666+K8WR/96EdjRhENH1ArsUpmafiAQhq+2oq1OKvjN445c+bEqYexzz77xNQR+etf/xonGsruu+8e8wBoTSygWWPwWHHHHXecPqjx/8RLIzJp0qT40E223nrrmAR0goav5mJtzapOw/fLX/4y+Ui53zuQvJhTz4bviisGdtstX+ylxy67DPzoRwMvvxzzAQ1fmXJlWDI0fNWh4QOAIcVDZ1bHn5ynTp0ap86aPHlyzOiEu+++O86btcEGG8SMIho+oFZilczS8AGFNHy1FWtxVjduHOuss06cfSgnnXRSzBuRBQsWxImG0vr//geARCygWdVpMgptt9128aGbnHXWWTEJ6AQNX83F2ppVkfvFokWLtthii8bned3rXnf33XfHq4OSz5lTt4bv+ecHvvnNfLGXG3vuOXD77TEfSGj4ypQrw5Kh4asODR8ADCkeOrM6/uS82267xamzDjrooJjRCY8++micN2u55ZaLGUU0fECtxCqZpeEDCmn4aivW4qxu3DimTJkSZx/KNddcE/NG5I9//GOcaCjHHHNMzAOgNbGAZvVKw7eUDdz/6Z/+KSYBHaLhq7lYXrMqcr846qijks9zwgknxEuvSF7PqVXDN3fuwGc/my/2cmP//f9vGpCj4StTrgxLhoavOjR8ADCkeOjM6viT83rrrRenzjriiCNiRic899xzcd4mf/zjH2PSUmn4gFqJJTJLwwcU0vDVVqzFWd24cdxxxx1x9iaHH354TBqpm266Kc41lHPPPTfmAdCaWECzeqXhO/TQQ+MTN7ngggtiEtAhGr6ai+U1qwr3i2uvvTb5MDvttFO8lJIcyqlPw/fb3/7fL9jLFXu5cdxxA3/7W8wH0jR8ZcqVYcnQ8FWHhg8AhhQPnVkdf3KO8zbpyLNuWpy3SeM5PGYslYYPqJVYIrM0fEAhDV9txVqc1aUbx/Tp09dee+24xqB3vvOdX/va1+LwKPzsZz+LMw7lxhtvjHkAtCYW0KyeaPieeuqpcePGxSfOGjLjAEZJw1dzscJmVeF+8c///M+NT/KqV73qtttui5dSks+ZU4eG7+WXB84/f2CXXfLFXnrsuuvApZfGfKCZhq9MuTIsGRq+6tDwAcCQ4qEzq7NPzs8++2yct8nxxx8fkzokztvk0tYeJTV8QK3EEpml4QMKafhqK9birO7dOJ588slLLrnk5JNP/sY3vvGzn/3s+eefjwOjc+qpp8ZHH8pjjz0W8wBoTSygWT3R8J122mnxcZtcccUVMQnoHA1fzcUKm1X6/eI//uM/kk8y3P9eKDma0/cN38KFA//+7/liLzf23nvgd7+L+cCQNHxlypVhydDwVYeGDwCGFA+dWZ19cp4zZ06ct8lJJ50UkzokztukxS2xNHyQdsMNN1zTZNasWXGY3hdLZJaGDyik4autWIuzeqLSSBvuFtPQc/8sUEHPPfdcPDlkCWT7WKyhWT2xor7vfe+Lj5v1n//5nzED6CgNX83FIptV7v3iv//7v5dddtnGx2jcEeKlJsnnzOnvhu/Pfx749KfzxV5uHHrowBNPxHxgOBq+MuXKsGRo+KpDwwcAQ4qHzqzOPjnfd999cd4mp556akzqkDhvkx/84AcxY6k0fJA2adKk+K9BysknnxyH6X2xRGZV5Ms2DR9UmYavtmItzuq57i23RW9ai08NwFLMnTs37gpZ119/fcyg78QamlX9u8OVV14ZnzXrlFNOiRlAp2n4ai7W2axy7xc77rhj8jFuuOGGeKlJMiGnjxu+//qvgT32yBd7ufH97w+8+GLMB5ZCw1emXBmWDA1fdWj4AGBI8dCZ1dkn59tuuy3O2+Tss8+OSR0S523SYoen4YM0DV/fiyUyS8MHFNLw1VasxVm91fBde+218bmbrLLKKvPmzYt5wEhp+GooltGsit8d7rnnnsYnjM+acsIJJ8QMoAs0fDUXS21WifeLr3/968ln+Ld/+7d4aSjJnJy+bPgWLx4488x8rpcbEyYM+DMdtE7DV6ZcGZYMDV91aPgAYEjx0JnV2SfnpXxPdn6n/7AU521y9NFHx4yl0vBBmoav78USmVWRL9s0fFBlL7/88q+HUvqOP3RbrMVZFa80chp/vInP3eTAAw+MScAoaPhqKJbRrCrfHa677rpx48bFB035yle+EjOA7njqqafiySGr8XrMoK/FaptV1v3i9ttvX2GFFRofYKuttnpxqb9TLvmcOf3X8D3zzMDUqfliLzf23XfggQdiPtAKDV+ZcmVYMjR81aHhA4AhxUNnVmefnC+99NI4b5Of/exnMalD4rxNDj744JixVBo+SNPw9b1YIrM0fAAMJ9birB5q+B555JH40ENxi4GO0PDVUCyjWZW9O5x55pnLL798fMpXbL755ldeeWXMAKA7Ys3NKut+sfPOOycf4Oqrr46XhpFMy+mzhm/27IF/+Zd8sZcbRx898OyzMR9okYavTLkyLBkavurQ8AHAkOKhM6uzT87nnHNOnLfJL3/5y5jUIXHeJpMmTYoZS6XhgzQNX9+LJTJLwwfAcGItzuqhhu+EE06ID91k8uTJMQkYHQ1fDcVKmlXBu8Mll1zS+FTx+VKOOeaYRYsWxSQAuiaW3axS7hcnnXRScvUvfelL8dLwkpk5/dTw/eIX/7dDbq7Yy43p0wdefjnmA63T8JUpV4YlQ8NXHRo+ABhSPHRmdfbJ+fvf/36ct8l1110Xkzokzttkjz32iBlLpeGDNA1f34slMqsiX7Zp+AAqKNbirApWGkN68cUXN9544/jQWeuuu+6cOXNiHjA6Gr4aisU0q8S7Q+M/bJdddtm5557beHo99thjGw+222yzzeqrrx6f7BWve93rPve5z915553xNgC6LNbfrLG/X9xzzz1vetObGpduPB0sWLAgXh1e8jlz+qPhe+GFgW9/O5/r5cbEiQM33xzzgXZp+MqUK8OSoeGrDg0fAAwpHjqzOvvkfNxxx8V5mxT+pvp2xXmb7LjjjjFjqTR8kKbh63uxRGZp+AAYTqzFWb3S8H3729+OT9zkJz/5SUwCRk3DV0OxmGaVdXeYOHFifILh/f3f//1RRx318MMPx3sAGBOxCmeN/f1ijz32SC59xRVXxEtLlUzO6YOG7y9/GTj44Hyxlxv77z/gf+sEo6HhK1OuDEuGhq86NHwAMKR46Mzq7JPz17/+9Thvk8suuywmdUict4mGD0ZAw9f3YonM0vABMJxYi7N6ouGbN2/eW9/61vjEWQcddFBMAjpBw1dDsZ5mlXV3+NznPhefoMjWW299zjnnNP4TG+8EoMti/c0a4/vFD37wg+S6n//85+OlIsn8nF5v+O65Z2CvvfLFXm585SsDf/tbzAdGRsNXplwZlgwNX3Vo+ABgSPHQmdXZJ+fTTjstztvkggsuiEkdEudt8tGPfjRmLJWGD9I0fH0vlsgsDR8Aw4m1OKsnGr4vf/nL8XGzNtxww6eeeiomAZ2g4auhWFKzSrw7PPTQQ42nhrSrrrrqjDPOOOaYY/bZZ5+NNtooPuIrdthhh69//et33XVXvB+A7ohlN2ss7xezZ89ebbXVGhcdP378E088Ea8WST5nTk83fBddNLDLLvliLz0aRy++OCYDo6HhK1OuDEuGhq86NHwAMKR46Mzq7JPzhRdeGOdtcvbZZ8ekDonzNtl3331jxlJp+CBNw9f3YonM0vABMJxYi7Oq3/Ddf//9b3rTm+Ljpiy//PJuK9BxGr4ailU1q7J3h4ULFzaeNVZYYYX4oK94/etff8IJJ8QkALogFtyssbxf7L333slFL7roonipBclbcnq04Vu48P9+u16u2MuNvfb6v9/SB3SEhq9MuTIsGRq+6tDwAcCQ4qEzq7NPzldffXWct8kpp5wSkzokztukxd+Nr+GDNA1f34slMkvDB8BwYi3Oqn7DN9y+iu4p0A0avhqKVTWr4neHO++8c6+99orPmrLTTjvFDAA6LZbarDG7X/zwhz9Mrrj//vvHS61J3pXTiw3fnDkDn/50vtjLjYMPHvjLX2I+MHoavjLlyrBkaPiqQ8MHAEOKh86szj4533777XHeJieeeGJM6pA4b5NjjjkmZiyVhg/SNHx9L5bILA0fAMOJtTir4pXGz3/+8/igWW4o0CUavhqKhTWr4neHxL/+67/Gx0159atf/ctf/jJmANA5sc5mjc394qGHHvp//+//NS739re/fc6cOfFqa5LPmdNzDd/NNw9MnJgv9nLj298eeOGFmA90hIavTLkyLBkavurQ8AHAkOKhM6uzT85/+MMf4rxNvvrVr8akDonzNvnmN78ZM5ZKwwdpGr6+F0tkloYPgOHEWpxV5Upj5syZa621VnzQFHcT6B4NXw3F2prVEw3fX//61/XXXz8+cZYnX4COixU2a2zuF/vuu29yuXPPPTdealnyxpweavhefnlg+vR8rpcbEyYMyNehGzR8ZcqVYcnQ8FWHhg8AhhQPnVmdfXKeN29enLdJR5510+K8TU499dSYsVQaPkjT8PW9WCKzNHwADCfW4qzKVhrPPPPMNttsE58yxa0EukrDV0OxvGb1RMPXcM0118QnbnL33XfHJAA6IZbXrDG4X/zoRz9KrrXvvvvGS+1I3pvTKw3fs88OHH10vtjLjX/5l4HZs2M+0FkavjLlyrBkaPiqQ8MHAEOKh86szj45v/jii3HeJmPW8J133nkxY6k0fJCm4et7sURmafgAGE6sxVmVrTT23nvv+Igp7iPQbRq+GooVNqtXGr6G4R49lltuuSeeeCImATBqsbxmdft+8T//8z//8A//0LjQmmuu+cc//jFebUfyOXN6ouF74IGBfffNF3u5MXXqwDPPxHyg4zR8ZcqVYcnQ8FWHhg8AhhQPnVkdf3JeZZVV4tRZnW34nn322ThvkyuuuCImLZWGD9I0fH0vlsgsDR8Aw4m1OKualcbUqVPj86XcddddcRjoGg1fDcUim9VDDd+tt94aH7rJxIkTYxIAoxZra1a37xf7779/cqEzzzwzXmpT8vac6jd8jT95TZiQL/Zyo/EvyeLFMR/oBg1fmXJlWDI0fNWh4QOAIcVDZ1bHn5w33HDDOHVWZxu+hx9+OM7bpMXmQ8MHaRq+vhdLZJaGD4DhxFqcVcFK45RTTokPl9J4WIjDQDdp+Goo1tmsHmr4GjbffPP43E0OPfTQmATA6MTCmtXV+8VFF12UXOXjH/94vNS+5Aw5VW74Xnxx4Pvfz+d6ubHHHgP/9V8xH+geDV+ZcmVYMjR81aHhA4AhxUNnVsefnD/84Q/HqbM62/Ddddddcd4mc+fOjUlLpeGDNA1f34slMkvDB8BwYi3Oqlqlcdlll8UnS3n22WfjMNBlGr4aiqU2q7cavmOPPTY+91B++ctfxjwARiFW1azu3S+eeOKJd7/73Y1L/P3f//2sWbPi1fYlnzOnsg3fE08MHHpovtjLjU9/euDPf475QFdp+MqUK8OSoeGrDg0fAAwpHjqzOv7kPGXKlDh1Vmcbvuuuuy7Om/XGN74xZhTR8EGahq/vxSqZpeEDYDixFmdVqtK44YYbVlpppfhkg1ZdddU4BowJDV8NxYKb1VsN35///Of43EOxoy5AR8SqmtW9+8XBBx+cXGKUf5mZnCSnmg3f7343sPfe+WIvN/793wcWLoz5QLdp+MqUK8OSoeGrDg0fAAwpHjqzOv7k/JWvfCVOnXXkkUfGjE746U9/GufN2mKLLWJGEQ0fpGn4+l6sklkaPgCGE2txVnUqjXvvvXedddaJjzVo8803j2PAWNHw1VCsuVm91fA1ND5wfPSh/JcdBwFGLZbUrC7dLy6//PLk/BMmTIiXRio5T04FG76f/Wxg113zxV567LLLwPnnD7z8cswHxoCGr0y5MiwZGr7q0PABwJDioTOr40/OZ511Vpw6a9KkSTGjE84444w4b1brV9HwQZqGr+/FKplVkS/bNHwAFRRrcVZFbhyPP/74ZpttFp9p0Mc+9rE4BowhDV8NxbKbVZG7Q+s++tGPxkcfyr777hvzABipWFKzunG/WLBgwSabbNI4+etf//rf/va38epIJZ8zp1IN39/+NnDccfliLzf22mtg1P9KAG3T8JUpV4YlQ8NXHRo+ABhSPHRmdfzJ+aqrropTZ+24444xoxO+/vWvx3mzjj/++JhRRMMHaRq+vherZJaGD4DhxFqcVZEbR+PJIj7QoC9+8YtxABhbGr4aipU3q+cavgMOOCA++jCeffbZmArAiMR6mtWN+0XjWSA5+be+9a14aRSSU+VUp+GbO3dg//3zxV5ufPazA3/5S8wHxpKGr0y5MiwZGr7q0PABwJDioTOr40/O8+fPj1Nnrb/++jGjE77whS/EebMuvfTSmFFEwwdpGr6+F6tkloYPgOHEWpxVhRvHXnvtFZ9m0Pe///04AIw5DV8NxeKb1XMN35e//OX46MO47777YioAIxLraVbH7xdLfpvABz/4wXhpdJKz5VSk4bv99oE998wXe7nxzW8OPP98zAfGmIavTLkyLBkavurQ8AHAkOKhM6sbf9O61VZbxdlT3vzmN8fhTvjkJz8Z581q/a9ZNXyQpuHre7FKZmn4ABhOrMVZpd84DjzwwPgog37+85/HAaAMGr4aivU3q3t3hzvuuONLX/pS4z9UjfX/jDPO+M1vfhMHRue73/1ufPRhXHvttTEVgBGJ9TSrs/eLF154Ifka4rWvfe1NN90Ur45O8jlzSm/4Xn554Ec/Gthll3yxlx677TZwxRUxHyiFhq9MuTIsGRq+6tDwAcCQ4qEzqxt/0zpcjfG3v/0tZoxabv+sJeJwCzR8kKbh63uxSmZp+AAYTqzFWeXeOI4++uj4HIPcJqB0Gr4aiiU4qxt3hwceeGDKlClxgZTGo2vMGIXzzz8/TjeMc845J6YCMCKxnmZ19n5xzDHHJKc99thj46VRS06YU27D99e/Np6D8sVebuyzz8Ds2TEfKIuGr0y5MiwZGr7q0PABwJDioTOrG3/TuuSX2OfMmjUrZozaBhtsECdNmThxYhxugYYP0jR8fS8WyiwNHwDDibU4q8Qbx4knnhgfYtBtt90WB9o3Z86cxj9IIl4CRkTDV0OxCmd1Yzn94Ac/GGdvcu6558akkbrmmmviXMM47rjjYioAIxLraVYH7xeNP2wk53z/+98fL3VCcs6cEhu+xsH99ssXe7nxhS8MPPVUzAdKpOErU64MS4aGrzo0fAAwpHjozOrG37TOnz//7/7u7+ICKVdeeWXMGLVVV101Tppy0UUXxeEWaPggTcPX92KhzKpIu6DhgypbvHjxd4dy++23xwz6VKzFWWXdOH70ox/FJxh0//33x4ERadxfkvN88YtfjJeAEdHw1VCyfuZ0/O4w3APCEvfcc09MHZFLL700TjSMM888M6YCI/Xoo4/Gk0PWnDlzYgZ9LdbTrA7eLwrvFGMpPtNSjaDha/x5avfd88Vebpx66sBLL8V8oFwavjLlyrBkaPiqQ8MHAEOKZ8qsLn0P9+EPfzgukPLd7343Do9anDHrqXb+F2caPkjT8PW9WCizNHxAoZdeeinuClkXXnhhzKBPxVqcVcqN48Ybb4zLD3rooYfiwEideeaZyakuvvjieAkYEQ1fDSXrZ07H7w4TJ06MUw9jlM+qp512WpxoGP4zDKM3c+bMuCtk3eu72nqI9TRLw9dsyIbvpZf+L87L5Xq5sfvu/xf5AdWh4StTrgxLhoavOjR8ADCkeKbM6tL3cOedd15cIOVTn/pUHB6dX//613HGlLY20m3Q8EGahq/vxVqZpeEDCmn4aivW4qyxv3H8z//8z0orrZRcfdlll3300UfjwCgcccQRyQkfeOCBeAkYEQ1fDSXrZ07H7w7jx4+PUw9jv/32i6kj8pWvfCVONIw//elPMRUYKQ1fzcV6mqXha9bc8D311P9tj5sr9nKjcRtc6h68QAk0fGXKlWHJ0PBVh4YPAIYUz5RZXfoe7qWXXnrXu94V13jFuHHj4vDofOlLX4ozppx++ulxuDUaPkjT8PW9WCuzNHxAIQ1fbcVanDX2N4511lknufSb3/zmuXPnxqujs/vuuyfnXLx4cbwEjIiGr4aS9TOn43eHOO/wdtlll5g6IgcddFCcaCjLL798488/MRUYKQ1fzcWSmtXB+8WMLmh8vPigWdOmTYsZw4jPtFQtNnyzZw/ss0++2MuNo48e+OtfYz5QHRq+MuXKsGRo+KpDwwcAQ4qHzqzufQ835P+s+Te/+U0cHoVNNtkkTpfS7v9IWsMHaRq+vhdrZdbYpxhD0vBBlWn4aivW4qwxvnFsttlmyXXXWWedJ554Il4dtbe97W2Nc6622mrxMzBSGr4aSpblnI7fHd7+9rfHqYfxta99LaaOyMc+9rE40VDe/e53xzxgFDR8NRdLalZF/hpqOI2PFx80a9q0aTFjFFpp+K64YmC33fLFXnrsssvAuecOvPxyzAcqRcNXplwZlgwNX3Vo+ABgSPHQmdW9J+cHHnhgueWWi8u84hvf+EYcHqkbbrghzpUyggdpDR+kPfnkk483WbBgQRym98VymVWRvzzV8EGVafhqK9birLG8cey4447JRTfZZJNnnnkmXh21xkNKctrGf4zjJWCkGveIeHLIWrRoUcyg7yRLaE7H7w4f/OAH49TDuPTSS2PqiAxXaSSmTJkS84BR0PDVXCypWRX5a6jhDHd3GIOG7/nnB775zXyxlxt77jlw++3JyYAq0vCVKVeGJUPDVx0aPgAYUjx0Zm2yySZxuAsOOeSQuMwrdtpppzg2Up///OfjXK8Y2cO/hg+olVgxsyryl6caPqgyDV9txVqcNWY3jk984hPJFbfbbru/dnSnqLPPPjs587HHHhsvAdCyZAnN6fjd4YADDohTD2WUl5s/f36caBh33HFHTAVGQcNXc7GkZlXkr6GG0/h48UGzut3w/eUvA5/9bL7Yy4399x+YOzdOBVSThq9MuTIsGRq+6tDwAcCQ4qEza4UVVojDXfD0009vuOGGcaVX/OhHP4rD7VuwYMGaa64ZJ3rFyCIPDR9QK7FiZlXkL081fFBlGr7airU4a2xuHMccc0xyuZ133vn555+PVzuk8Z/e5OQXXXRRvARAy5IlNKfjd4dTTjklTt1k/PjxMWmkLr744jjXUPwSPugUDV/NxaqapeFrdsUVc/baK5PrNY/jjhv429/iPEBlafjKlCvDkqHhqw4NHwA0mzdvXjx0NrnzzjtjUhdceumlcZlXbLzxxiPeWOe4446Ls7xixI/QGj6gVmLRzNLwAYU0fLUVa3HWGNw4zjrrrORau+222+LFi+PVDrnllluSkzf4NUsAIxBraFbH7w7PPPPMWmutlZz87/7u78aNGzd+/Pitttrq1FNPjRmj8K//+q/JmYfk7gCdouGruVhVszR8WbtsvPG3tt9+Ya7YS49ddx342c/iDEDFafjKlCvDkqHhqw4NHwA0G66QaNh///1jUnc0X/r444+PY+2YPn16vP8Vo3ns1/ABtRLrZlZXt1Nv3XB3qCuvvDJmAOXR8NVWrMVZ3b5xXH/99cmFPvrRjzbuDh1xxBFHTJ48edddd11vvfWSkyeefvrpuCoALYs1NKsbd4epU6fG2ZdZ5tZbb41XR63xB5tx48bFeZv4JXzQQRq+mouFNUvDt8SHPvTRddc9f9VVb9tuu2Ebvr33Hvjd7+LtQPVp+MqUK8OSoeGrDg0fACzxwAMPnH322cM9fy4xZcqUrv5PjRsPunGlV7S7d9Vf//rX17zmNfHmQVtttdUf//jHONw+DR9QK7F0ZnV1O/XWNd8jEh35S1JglDR8tRVrcVZXbxwPPfRQXKb7/uEf/iGuCkA7YhnN6sbdYebMmXH2ZZZ5wxve8Mgjj8SB0bnkkkvipE3e9ra3SYuggzR8NRdra5aGL7H99pPXWuuqVVe9bSkN36GHDjzxRLwX6AkavjLlyrBkaPiqQ8MHQN00Hi+H9La3vS0eNFuz8sorv+Md79h6663j/VlxsZEaZca39tprx9sGTZgw4ZlnnoljI6LhA+qjrO3UW3TggQfGp8naa6+9YgZQHg1fPZVy44gLjIk999wzrgpAy8b47vCtb30rzr7MMhtttNGCBQviwEg99dRTa665Zpwxa8UVV7z++utjHtAJGr6ai+U1a/RfMXRV4+PFB83qbMO39dZT3/KWm5KAb7iG7+STB158Md4I9AoNX5lyZVgyNHzVoeEDoG7iabLL4mKj0JzxnX766XFseDNnzvz7v//7eMOgz3zmM3FsFDR8QH00L79LdHs79UIzZswYP358fJqs5ZZb7qabbop5QEk0fPU09jeOlVZaKS4wJo488si4MAAtG/u7wyc/+cm4wDLL7LLLLn/5y1/iwIjssMMOca4mF198cUwCOkTDV3OxvGZ1Y+/1DhqDhu897/neknpvuIbvmmviLUBv0fCVKVeGJUPDVx0aPgDqJp4muywuNjqNJ97c/+i58ei+lJLv+OOPj3mDXv3qVx999NFxbHQ0fEDfq8h26kN64YUXrrvuuqV8C5hYb731Wqm9ge7R8NVKWTeOxhNBnHqsnHnmmXFtAIqU+1ix3XbbxQWWWeatb33rd77znTjQplNOOSXO0uS0006LSUDnaPhqLlbYrG7svd5Bw93pOtKp33LLLeuvf0ou4GuMdMO3776Ne27MB3qOhq9MuTIsGRq+6tDwAVA305ocd9xxJ5988vTp03/6059effXVM1rQmNaY3HhL442Nt8eJUuJio/b4449/4xvfeMc73hEPwYM22WST3Xbbbb/99jvqqKOmTJnygQ98YPz48a9//evj8DLLrL766lOnTp01a1acZRQefvjhxj/Ou971rlVWWWXFFVd81ate9epXv7pxrdVWW23LLbc85ZRTnn322ZgKUHnbDqMK26k3Ftt4f5PGwhsXbsEKK6yw5pprbrTRRvHmrA7eoRoeeOCBxgknT568/fbbr7vuusstt9yqq6662Wab7bHHHgcddNBpp522aNGimAr1oOHrP7F6NinrxjHcjupdNbINE2+99dYjjzxy0qRJS+4RjSeILbbYYs899zzssMMuueSSmAfQg2L5blKFx4qvf/3rcfZBm2+++fltfh+3lIDvq1/9akwanRtvvLFxj/jUpz7V+Mdce+21G2dea621ttlmm49//OOHH374ZZddFvOgNjR8dTbGe693SmMBj0+ZNWHChJgxUo27wIc+tM9yy2336levv+yy/7fj0LLLvuU1r9l4ueU+tPbaX9h66xs/8pGBqVMHfCkBPU3DV6ZcGZYMDV91aPgAoPoWLlx48sknb7TRRsmT8FK85z3vOfHEExtP/vHOUZg5c+Zhhx32pje9KU49jLe+9a3HHHPM7Nmz420AFRYrV5fFxdo0rejX7HVEpxq+G2644dOf/vQKK6wQ5x3GO9/5zm9+85sduStBT9Dw9Z9YzrosLlbk+eefX2WVVeI9Y+jhhx+OT9Caa665Zu+99443D2+LLbZoPOM8/fTT8TaA3hELWZfFxdp37bXXvupVr4qzDPrABz7QeBC4+uqrY8Ywfv/73++xxx7xnqydd955ZEl3zkUXXbTrrrvGSYf3vve979xzz433QA1o+OpsKX8d1KW910fvrrvuWnHFFeNTZjVev+eee2Jemxorf2P9jxMNb+ONd23cTeI9QG/S8JUpV4YlQ8NXHRo+AOghv//97y+55JKvfe1r++yzzyabbLLCCiu89a1v3WWXXY466qjzzz+/g3+tc8QRRyy77LLxWNyC1772tYceemi8GaCqYs3qsrhYm3ql4Zs3b95wX+wNZ4011jjxxBPj/dDXNHz9JxayLouLFXnooYfiDWNo3XXXjcu34J577mmlzEhbc801v/e978X7AXpELGFdFhcbkT/84Q/bb799nCjl9a9//Qc+8IFvfetbN998c+O28vzzzz/wwAMXX3xx4zFhr732GvJ/xvnud797+vTpcd5RuPLKKzfddNM4aWsa83/605/G+6GvafhqqNy910es8WG+/e1vv/GNb4zPN5Qdd9yx3d+6ff3114/gHtG4s8T7gV6j4StTrgxLhoavOjR8AEDagw8+uN1228WjcJs233xzv0gDqLJpTaqznXq8OeuEE044/fTTzz///CuvvDIuX6QxszG/8a7Ge+MsWXG9EbnrrrvWWWedWPTbtNNOO8VZoH9p+PpPLJ0pJd44br755njD2IrLF/n+979f+PtZh7PnnnvGWQB6QayPKdV5rFhi0aJF3/72twvrkKXYcMMNGx/j2U7sVnjUUUfFSdv3mc98Js4C/UvD168ai/CQqrD3eqE4e8oaa6wRH6gFjUeDeFtWnD1lKXu4F2rcX+IsQE/R8JUpV4YlQ8NXHRo+AGCJM888Mx5/R+Gmm26K0wHQR0499dRY6Edq2WWXveWWW+J00I80fNTWnnvuGWv9SK255ppxLgA6atasWdOmTXv3u98dC26R1Vdf/cADD5wxY0a8f9R22223OPVIve1tb4tzQZ/S8PWrWMW6LC7WaduOogIfTnPDt/nmm8exkWrcZeJcQO/Q8JUpV4YlQ8NXHRo+ACBx1llnxYPvqD3xxBNxUgD6gnsEtELDRz198YtfjCV+dMaPHx9nBKALZs2a9ZOf/OSb3/zmZz/72cafTzbYYIM3vOENb3rTmzbddNM999zzqKOOavyZv4PpXsI9Alqh4etXsYR1WVys08ag4Rs3blwcGJ3GvSbOCPQIDV+ZcmVYMjR81aHhAwAabrzxxnjk7YTNNtsszgtA73OPgBZp+Kihn/70p7G+d8Lo944EoDrcI6BFGr5+1Vi4ciq49/pw4uyDvvnNb5566qnnnXfeFVdcER+rSGNmY37jXY33xlkGxdkHBiZMmBDreyc0/iWK8wK9QMNXplwZlgwNX3Vo+ACAxx9/fL311ovn3Q456KCD4uwA9DL3CGidho+6ufnmm2Nl75zTTz89zg5AL3OPgNZp+Kib4447Llb2zmncd+LsQOVp+MqUK8OSoeGrDg0fAHDQQQfFk25HnXXWWXEBAHrWAQccEMt6R02fPj0uAH1Ew0fdbLbZZrGsd9Q999wTFwCgZ2266aaxrHfUrFmz4gLQRzR81Mr9998fa3pHNe47cQGg8jR8ZcqVYcnQ8FWHhg8Aau75559fffXV40m3o973vvfFNQDoTQ8++OCKK64Yy3pHfehDH4prQB/R8FErV111VazpnXbEEUfENQDoTRdddFGs6Z2W3ocR+oaGj1o54YQTYk3vtMbdJ64BVJuGr0y5MiwZGr7q0PABQM399Kc/jWfcLvjVr34VlwGgBx177LGxoHfBn/70p7gM9AsNH7UyadKkWNA7bfXVV3/88cfjMgD0oF133TXW9E4bP358XAP6iIaPWtlkk01iTe+0xt0nrgFUm4avTLkyLBkavurQ8AFAzX3kIx+JZ9wu2GeffeIyAPSaRYsWveMd74gFvQuOPfbYuBL0Cw0ftfK6170uFvQu+M53vhOXAaDX3HjjjbGad8d///d/x5WgX2j4qI877rgjVvPuaNyD4kpAhWn4ypQrw5Kh4asODR8A1NmiRYvi6bZr5s+fHxcDoKf84he/iKW8O7bYYou4EvQLDR/10b2NdBMbbbTNzJkDhmEYRi+O/fabGqt5dzTOn7uiYfT6uOSSmf/8zx9pHj/72b25mYbR66Pb94ipU6fGEwtQYRq+MuXKsGRo+KpDwwcAdfaHP/whnm67ZtasWXExAHrKGWecEUt5d6y++upxJegXGj7qo9v3iOWXX+sjHxkwDMMwenGMG7d3rObd0Th/7oqG0evjn/955qqrfqR5bLvtvbmZhtHro9v3iL333jueWIAK0/CVKVeGJUPDVx0aPgCos2uvvTaebrvmqquuiosB0FOmTZsWS3nXvPjii3Ex6AsaPurjmGOOiaW8az784UW5L/wMwzCMnhgrrbRNLOXd0Th/7oqG0etDw2fUZ3T7HrHNNtvEEwtQYRq+MuXKsGRo+KpDwwcAdXb22WfH023X/PCHP4yLQb847LDD9m0yffr0OAz9YtKkSbGUd82f/vSnuBj0BQ0f9fGpT30qlvKuef/7/5j7ws8wenp84APz1lxz3+ax9dY35WYaRq+P5ZdfK5by7vC7Wo3+Gxo+oz6j2/eItdZaK55YgArT8JUpV4YlQ8NXHRo+AKizMfgdS41LxMWgX0yaNCmijJSTTz45DkO/2HbbbWMp75oZM2bExaAvaPiojzG4R2y11YzcF36G0dNjxx3n5sqMZGy55fW5mYbR6yPW8W7KXdEwen1o+Iz6jFjHuymeWIAK81/UMuXKsGRo+KpDwwcAdeb38MEIaPioCb+HD9q1ePHiyUO58sorYwb0izH4PXzbbfdg7gs/w+jpoeEz6jNWWGHtWMq7w+/hM/pvvO9996211uTm8b73zc7NNIxeH34PH9Cg4StTrgxLhoavOjR8AFBn1157bTzdds1VV10VF4N+oeGjJsbgd7W++OKLcTEAesoxxxwTS3nXfPjDi3Jf+BlGTw8Nn1Gf8eY3d/d3ta600ja5KxqGYRi9MhpreKzm3bHNNtvEEwtQYRq+MuXKsGRo+KpDwwcAdfaHP/whnm67ZtasWXEx6BcaPmrijDPOiKW8O1ZfffW4EgC9ptv3iBVWWDv3bZ9h9PrQ8Bn1GWus0d3f1Tpu3N65KxqGYRi9MhpreKzm3bH33nvHEwtQYRq+MuXKsGRo+KpDwwcAdbZo0aJ4uu2a+fPnx8WgX2j4qIlf/OIXsZR3xxZbbBFXAqDXXHXVVbGad8fGG29z770DhtFPY8aMudtu+5HmcdZZ1+dmGkavj3/91yNjNe+O/fabmruiYRiG0SujsYbHat4dU6dOjScWoMI0fGXKlWHJ0PBVh4YPAGruIx/5SDzgdsE+++wTl4E+ouGjJhYtWvSOd7wjFvQuOPbYY+NKAPSgFVdcMRb0LvjOd74Tl4F+MXfu3HhyyLr++utjBvSLG2+8MVbz7rjjjjviSgD0msYaHqt5dzTuQXEloMI0fGXKlWHJ0PBVh4YPAGrupz/9aTzgdsGvfvWruAz0EQ0f9XHsscfGgt4Ff/rTn+IyAPSgww8/PBb0Tlt99dUff/zxuAz0Cw0ftbLrrrvGmt5pm2yySVwDgN7UWMljTe+0xt0nrgFUm4avTLkyLBkavurQ8AFAzT3//POrr756POZ21Pve9764BvQXDR/18eCDD3bp1yx96EMfimsA0Jv+67/+K9b0TjviiCPiGtBHNHzUykUXXRRreqedcMIJcQ0AelNjJY81vdMad5+4BlBtGr4y5cqwZGj4qkPDBwAcdNBB8ZjbUWeddVZcAPqLho9aOeCAA2JZ76jp06fHBQDoWf/4j/8Yy3pH3XPPPXEB6CMaPupm0003jWW9o+6///64AAC9qbGSx5reUY37TlwAqDwNX5lyZVgyNHzVoeEDAB5//PH11lsvHnY75KCDDoqzQ9/R8FEr7hEADOcXv/hFrOydc9xxx8XZob9o+Kgb9wgAhtNYz2Nl75ybb745zg5UnoavTLkyLBkavurQ8AEADTfeeGM87HbCZpttFueFfqTho27cIwAYzrRp02J974QJEybEeaHvaPioIfcIAIbTWNVjfe+En/70p3FeoBdo+MqUK8OSoeGrDg0fAJA466yz4pF31J544ok4KfQjDR815B4BwHD22muvWOJHZ9y4cXFG6EcaPurJPQKA4TTW9ljlR+eLX/xinBHoERq+MuXKsGRo+KpDwwcALHHmmWfGg+8o3HTTTXE66FMaPurp1FNPjYV+pJZddtlbbrklTgdAHznggANirR+pDTbYIM4FfUrDR23tt99+sdaP1Oabbx7nAqC/NFb4WOtHarfddotzAb1Dw1emXBmWDA1fdWj4AIC0Bx98cLvttosn4DY1HrmffvrpOBH0Lw0ftXXXXXets846sei3aaeddoqzANCPrrnmmje96U2x6Lfp2GOPjbNA/9LwUWcXXnhhrPjtO+WUU+IsAPSjxjofK377jjrqqDgL0FM0fGXKlWHJ0PBVh4YPAGh2xBFHLLvssvEo3ILXvva1hx56aLwZ+p2GjzqbN2/eHnvsEat/a9ZYY40TTzwx3g9A/3rkkUd23333WP1bs+aaa06fPj3eD31Nw0fN3XjjjZtuumms/q1pzPdfEIA6aKz2I7hHXHnllfF+oNdo+MqUK8OSoeGrDg0fADCkmTNnHnbYYYW/S+Otb33rMcccM3v27Hgb1ICGD2644YZPf/rTK6ywQtwMhvHOd77zm9/85rx58+JtANTANddcs/fee8edYHhbbLFF449Pfo039aHhg4aLLrpo1113jTvB8N73vvede+658R4A6qGx8jfW/7gTDK9xH2ncTeI9QG/S8JUpV4YlQ8NXHRo+AGApHn744WnTpr3rXe9aZZVVVlxxxVe96lWvfvWrX//616+22mpbbrnlKaec8uyzz8ZUqA0NHyQeeOCBxj1i8uTJ22+//brrrrvccsutuuqqm2222R577HHQQQeddtppixYtiqkA1Mytt9562GFT11hjnze/edvXvW6d/+//e+1rX7vqG9+42Vvesseuux56ySWXxDyoDQ0fLHHjjTdOnTp177333mabbdZaa61lBn9195Zbbjlx4sRDDz30sssui3kA1E/jLtC4FzTuCI37QuPu0LhHrL322ttuu+2nPvWpI488snEHiXlAL9PwlSlXhiVDw1cdGj4AoNBnP/vZ+Hoh5etf/3ochprR8AEAFHr22YGPfGSIYc8r6knDBwAA0KDhK1OuDEuGhq86NHwAQCENH6Rp+AAACmn4IE3DBwAA0KDhK1OuDEuGhq86NHwAQCENH6Rp+AAACmn4IE3DBwAA0KDhK1OuDEuGhq86NHwAQCENH6Rp+AAACmn4IE3DBwAA0KDhK1OuDEuGhq86NHwAQCENH6Rp+AAACmn4IE3DBwAA0KDhK1OuDEuGhq86NHwAQCENH6Rp+AAACmn4IE3DBwAA0KDhK1OuDEuGhq86NHwAQCENH6Rp+AAACmn4IE3DBwAA0KDhK1OuDEuGhq86NHwAQCENH6Rp+AAACmn4IE3DBwAA0KDhK1OuDEuGhq86NHwAQCENH6Rp+AAYzryhLFy4MA5DnWj4IE3DB8BwXnjhhXhyyGq8HjMAoI9o+MqUK8OSoeGrDg0fAFBIwwdpGj4AhvTSSy/FXSHrwgsvjBlQJxo+SNPwATCcmTNnxl0h617f1QLQjzR8ZcqVYcnQ8FWHhg8AKKThgzQNHwBD0vBBmoYP0jR8AAxHwwdArWj4ypQrw5Kh4asODR8AUEjDB2kaPgCGpOGDNA0fpGn4ABiOhg+AWtHwlSlXhiVDw1cdGj4AoJCGD9I0fAAMScMHaRo+SNPwATAcDR8AtaLhK1OuDEuGhq86NHwAQCENH6SdddZZ32ty3XXXxWEA6krDB2kaPkibP39+PDlk3XfffTEDgLrS8AFQKxq+MuXKsGRo+KpDwwcAFNLwAQAU0vBBmoYPAKAVGj4AakXDV6ZcGZYMDV91aPgAgEIaPgCAQho+SNPwAQC0QsMHQK1o+MqUK8OSoeGrDg0fAFBIwwcAUEjDB2kaPgCAVmj4AKgVDV+ZcmVYMjR81aHhAwAKafgAAApp+CBNwwcA0AoNHwC1ouErU64MS4aGrzo0fABAIQ0fAEAhDR+kafgAAFqh4QOgVjR8ZcqVYcnQ8FWHhg8AKKThAwAopOGDNA0fAEArNHwA1IqGr0y5MiwZGr7q0PABAIU0fAAAhTR8kFaFhu/ZZ5+d0YPuvvvuxx9/PP4ZAIB+p+EDoFY0fGXKlWHJ0PBVh4YPACik4QMAKKThg7QqNHybbLLJMj1r8uTJ8Y8BAPQ1DR8AtaLhK1OuDEuGhq86NHwAQCENHwBAIQ0fpJXe8J1++ulRw/WmVVZZJf5JAIC+puEDoFY0fGXKlWHJ0PBVh4YPACik4QMAKKThg7TSG76ddtoparjetO2228Y/CQDts506PUTDB0CtaPjKlCvDkqHhqw4NHwBQSMMHAFBIwwdp5TZ8999/f6RwQ1l99dW32WabT33qU8cee+zFF19844033nnnnbNnz37kkUcef/zxhQsXxllSHnvsscZ/neP9Q/ne974XU5fq2Wef/fOf/3z33XfPmDHj+OOP33vvvVdYYYU4RdaUKVPiPQC0z3bq9BANHwC1ouErU64MS4aGrzo0fABAIQ0fAEAhDR+kldvwnXTSSdFBpKy55pqf//znb7jhhpjUpkMOOSRO1GTvvfeOSe276aabNtpoozhRygknnBAzAGiT7dTpLRo+AGpFw1emXBmWDA1fdWj4AIBCGj4AgEIaPkgrt+HbYYcdooN4xbe+9a0FCxbE4RHZcMMN41xNfv7zn8ekEWl8sF133TXO9YrLL788DgPQJtup01s0fFAFNmGHMaPhK1OuDEuGhq86NHwAQCENHwBAIQ0fpJXY8P3+97+PCOIVV199dRwbqaeffjrO1eTtb397TBqFG2+8MU73ivvuuy+OAdCOPthO/cADD4z3UA8aPqgCm7DDmNHwlSlXhiVDw1cdGj4AoJCGDwCgkIYP0kps+E444YT4LmvQBRdcEAdG4bLLLovTNdlvv/1i0ugcccQRccZllll22WUXL14cBwBoRx9sp/79738/ZlAPGj4onU3YYSxp+MqUK8OSoeGrDg0fAFBIwwcAUEjDB2klNnzvf//747usZZaZNm1avDo6S6k3zjrrrJg0Or/97W/jjMsss95668WrALSpD7ZTv/766+Mw9aDhg9LZhB3GkoavTLkyLBkavurQ8AEAhTR8AACFNHyQVlbDd++998YXWZ0L+BqG/D1Jid///vcxaXTmz58fZ1xmmZ133jleBaAd/bGd+ty5c+MY9aDhg3L1wSbsU6ZMifdAL9DwlSlXhiVDw1cdGj4AoJCGDwCgkIYP0spq+L7xjW8k32O95S1viZdG7ZlnnknO2ezd7353TOqEtdZaKzntIYccEi8B0I4+2E59pZVWilepDQ0flKsPNmFv3P5iBvQCDV+ZcmVYMjR81aHhAwAKafgAAApp+CCtrIbvn//5nzv+Pdbll1+enLNZZ3/jxbbbbpuc9pRTTomXAGhHH2ynvs0228Sr1IaGD8rVB5uwNx5Y4jD0Ag1fmXJlWDI0fNWh4QMACmn4AAAKafggrZSG7+67706+xBo/fny81AmHHnpoctpm06dPj0mdsMEGGySnvfbaa+MlAFrWH9up2w+xhjR8UKL+2IT9vvvui2PQCzR8ZcqVYcnQ8FWHhg8AKKThAwAopOGDtFIavuOOOy75EquD6UbDxhtvnJy22ezZs2NSJ4wbNy457SOPPBIvAdCy/thO/Tvf+U68RG1o+KBEfbAJ+7LLLrt48eI4AL1Aw1emXBmWDA1fdWj4AIBCGj4AgEIaPkgrpeHbZpttku+xZs2aFS+NWvp3I+VssMEGMalDll9++cZpV1555fgZgHb0x3bq11xzTbxEbWj4oER9sAn7euutF69Cj9DwlSlXhiVDw1cdGj4AoJCGDwCgkIYP0sa+4VvyPdbEiRPjpU644oorktM223///WNSJzzxxBPJabfYYot4CYCW9c126nPmzImXqA0NH5SlPzZh33nnneNV6BEavjLlyrBkaPiqQ8MHABTS8EHaDTfccE2TDv6uFwB6lIYP0sa+4Tv22GOTL7EuuuiieKkTDjvssOS0zc4555yY1Ak333xzctp99tknXqKPPPfcc/HkkPXYY4/FDGB0+mM79Te84Q3xM3Wi4YOy9Mcm7Icccki8BD1Cw1emXBmWDA1fdWj4AIBCGj5ImzRpUvzXIOXkk0+OwwDUlYYP0sa+4dtqq62W6fSvX2rYZJNNku/Gmv3hD3+ISZ0wffr05LSdrU+oiLlz58ZdIev666+PGcDo9Md26ltuuWX8TJ1o+KAs/bEJ+ymnnBIvQY/Q8JUpV4YlQ8NXHRo+AKCQhg/SNHwADEnDB2lj3PDdfvvtyTdYnQ3gFixYkJy22YYbbhiTOuTII49MzvzjH/84XqKPaPigq/pmO/X99tsvXqJONHxQir7ZhP3aa6+Nl6BHaPjKlCvDkqHhqw4NHwBQSMMHaRo+AIb08ssv/3ooDz74YMyAOhnjhm/atGnJN1gd/PVLDVdeeWVy2mYHHnhgTOqQPfbYIznzbbfdFi/RRzR80FV9s536iSeeGC9RJ0899VQ8OWQ1Xo8ZQBf0xybsDY888ki8BD1Cw1emXBmWDA1fdWj4AIBCGj5I0/ABABQa44Yv2fG2s79+qeELX/hC8sVYsx/96EcxqUM23HDD5MxPPvlkvEQf0fBBV/XNduq/+tWv4iUAuqw/NmFfeeWV42foHRq+MuXKsGRo+KpDwwcAFNLwQZqGDwCg0Fg2fJdeemnyxdh5550XL3XIpptumpy52R//+MeY1CFvfOMbG6fde++942f6i4YPuqeftlN/+OGH4yUAuqlvNmHfYost4iXoHRq+MuXKsGRo+KpDwwcAFNLwQZqGDwCg0Fg2fD/4wQ+WGfz1S539DXZ//etfky/GmnW83mhofP7GmX/+85/Hz/QXDR90T99sp/66170ufgagy/pmE/Z99tknXoLeoeErU64MS4aGrzo0fABAIQ0fpGn4AAAKjWXD99xzz91zzz2dTTcafv7znydfjDU76KCDYlLnzJkzxy66fUzDB93TN9upb7bZZvEzAF3WN5uwd/Z30MLY0PCVKVeGJUPDVx0aPgCgkIYP0jR8AACFxrLh65IvfvGLyRdjzX784x/HJGiNhg+6pJ+2Uz/kkEPiZwC6qZ82YfdgQi/S8JUpV4YlQ8NXHRo+AKCQhg/SNHwAAIX6oOHbbLPNki/Gmj344IMxCVqj4YMu6aft1H/5y1/GzwB0U99swt5w2223xUvQOzR8ZcqVYcnQ8FWHhg8AKKThgzQNHwBAoV5v+BYuXJh8K9asG/UGfU/DB11iO3UA2tU3m7A3uH3QizR8ZcqVYcnQ8FWHhg8AKKThgzQNHwBAoV5v+H7xi18k34o1O/jgg2MStEzDB73FduoA/aqfNmHfe++942foKRq+MuXKsGRo+KpDwwcAFNLwQZqGDwCgUK83fEcccUTyfVuzCy64ICZByzR80Ftspw7Qr/ppE/af//zn8TP0FA1fmXJlWDI0fNWh4QMACmn4IE3DBwBQqNcbvn/8x39MvnJr9vDDD8ckaJmGD3qI7dQB+phN2KF0Gr4y5cqwZGj4qkPDBwAU0vBBmoYPAKBQTzd8zz33XHzh1kS9wcho+KCH2E4dgHbZhB1ap+ErU64MS4aGrzo0fABAIQ0fpGn4AAAK9XTD98tf/jK+cGtyyCGHxCRoh4YPeojt1AFol03YoXUavjLlyrBkaPiqQ8MHABTS8EGahg8AoFBPN3xf+tKX4gu3JhdeeGFMgnZo+KCH2E4dgLbYhB3aouErU64MS4aGrzo0fABAIQ0fpGn4AAAK9XTDt8UWW8R3bk0eeeSRmATt0PBBr7CdOgDtsgk7tEXDV6ZcGZYMDV91aPgAgEIaPkjT8AEAFOrdhu9vf/tbfOHWRL3BiGn4oFfYTh2AdtmEHdqi4StTrgxLhoavOjR8AEAhDR+kafgAAAr1bsN31VVXxRduTdQbjJiGD3qF7dQBaJdN2KEtGr4y5cqwZGj4qkPDBwAU0vBBmoYPAKBQ7zZ8U6dOjS/cmlx88cUxCdqk4YNeYTt1ANpiE3Zol4avTLkyLBkavurQ8AEAhTR8kKbhAwAo1LsN35ZbbhnfuTWZM2dOTII2afigJ9hOHYB22YQd2qXhK1OuDEuGhq86NHwAQCENH6Rp+AAACvVow7do0aL4wq1JifXGtGnTPvjBDzY+w8SJE2fMmBGv0lM0fNATbKcOQLtswg7t0vCVKVeGJUPDVx0aPgCgkIYP0jR8AACFerThu/rqq+MLtyZl1RvTpk2LTzBo2223jQP0FA0f9ATbqQPQLpuwQ7s0fGXKlWHJ0PBVh4YPACik4YM0DR8AQKEebfiOPPLI+MKtySWXXBKTxtBdd90Vl0/p9V/F98ADD0ybNu2OO+6In+tBwwc9wXbqALTFJuwwAhq+MuXKsGRo+KpDwwcAFNLwQZqGDwCgUI82fFtttVV859bksccei0lj6KSTTorLv2KDDTaIY72p8Wfp+Cfp/RixLRo+qD7bqQPQLpuwwwho+MqUK8OSoeGrDg0fAFBIwwdpGj4AgEK92PA9//zz8YVbk7LqjdxGug2NV+JYD7r22mvjH2NQT/+ztEvDB9VnO3UA2mUTdhgBDV+ZcmVYMjR81aHhAwAKafggTcMHwJAWL1783aHcfvvtMQPqpBcbvmuuuSa+cGtS4m/R2GyzzeJD9H70tt9++8U/ySC/h69BwwfVYTv1MVDP7dQLPfroo/HkkGUHZ6g+m7DDCGj4ypQrw5Kh4asODR8AUEjDB2kaPgCG9NJLL8VdIevCCy+MGVAnvdjwHXXUUfGFW5NLL700Jo25p59+unH1k0466a677oqXetb48ePjX9BBixYtigM1oOGD6rOderfVdjv1QjNnzoy7Qta9vquFarMJO4yMhq9MuTIsGRq+6tDwAQCFNHyQpuEDYEgaPkjrxYZv6623Tr5ya/a///u/MYmRuvfee+NfzUEbb7xxHKgHDR9UnO3Uu63O26kX0vBBj7IJO4yMhq9MuTIsGRq+6tDwAQCFNHyQpuEDYEgaPkjruYbvxRdfjG+6mpT4WzT6yQ9/+MP4F3TQ4YcfHgfqQcMHFWc79W6r83bqhTR80KNswj4GbMLelzR8ZcqVYcnQ8FWHhg8AKKThgzQNHwBD0vBBWs81fL/+9a/ja64mJdYb/SRXb/zqV7+KA/Wg4YOKs516t9V5O/VCGj7oUTZh7zabsPcrDV+ZcmVYMjR81aHhAwAKafgg7cknn3y8yYIFC+IwAHWl4YO0nmv4jjnmmPh2qEmJ9UY/ydUbL774Yhyoh8Y9Ip4cslQsUBG2U++qmm+nXkjDB73IJuzdZhP2PqbhK1OuDEuGhq86NHwAQCENHwBAIQ0fpPVcw7fNNtvEt0NN5s2bF5MYqdtvvz3+1Ry07bbbxgGACrCderfVfDv1Qho+6EU2Ye82m7D3MQ1fmXJlWDI0fNWh4QMACmn4AAAKafggrbcavsZ/f+OroSbqjY445ZRT4l/QQV/5ylfiAEAF2E6922q+nXohDR/0Ipuwd5tN2PuYhq9MuTIsGRq+6tDwAQCFNHwAAIU0fJDWWw1fbp+mNPVGR+y7777xL+ig66+/Pg4AVIDt1Lut5tupF9LwQS+yCXtX2YS9v2n4ypQrw5Kh4asODR8AUEjDBwBQSMMHab3V8H35y1+Ob4eaqDdG77nnnkvXG8stt5zvNYFKsZ16V9lOvZCGD3qOTdi7zSbs/U3DV6ZcGZYMDV91aPgAgEIaPgCAQho+SOuthu+f/umf4tuhJk888URMYqRuuOGG+Fdz0Ic//OE4AFABtlPvNtupF9LwQc+xCXu32YS9v2n4ypQrw5Kh4asODR8AUEjDBwBQSMMHaT3U8C1evDi+GmoyxvXG3/72t//8z//8/Oc/37jucsstt9566+2yyy6PPPJIHG7HoYceuuWWWzb+EdZYY43NN9982rRpcWAY11xzzbe//e3Jkyc3Jr/uda8bN27ctttu2/ix8I1pDz300IyhnHjiicm/nokvfvGLcSBl1qxZjX/8OBHAGLKderfZTr2Qhg96jk3Yu80m7P1Nw1emXBmWDA1fdWj4AIBCGj4AgEIaPkjroYbvuuuui6+GmoxlvXHfffdtu+22jYuuuuqqn/zkJzfffPPkMzTcc889Mak1m2yySeNd73nPew488MBVVlklOcnqq68eh7NmzJjx0Y9+NJmz4oorNj7DtGnTkjMkNtpoo0cffTRmD+/888+PN4zU+PHj41wAY8h26l1lO/VWaPig59iEvatswt73NHxlypVhydDwVYeGDwAopOEDACik4YO0Hmr4/u3f/i2+HWoyZvXGr371q3HjxjWueNFFF8VLAwMTJ05MPsaqq676bONf0Na84x3vaLzlvPPOS3688847V1hhheQ8e+21V/JiYtasWcnvRho/fvwJJ5wwY8aMODDotttuW3HFFZM3NsyZMycODGPatGkxdaQmTZoU5wIYQ7ZT7yrbqbdCwwe9xSbs3WYT9r6n4StTrgxLhoavOjR8AEAhDR8AQCENH6T1UMP33ve+N74davLUU0/FpG6aPXv2yiuv3LhcOuBr+MEPfpB8jIbPf/7z8epSHXHEEY3JkydPjp8HTZgwITlJw5K9cWfNmpX8YqTGK/Pnz09ezJk+fXryrobRfB8Zpxi0ySabxKsAFWA79QbbqZdOwwe9xSbs3WYT9r6n4StTrgxLhoavOjR8AEAhDR8AQCENH6T1SsP38ssvx1dDTcas3pg8eXLjcrmAr+GCCy5IPknDu9/97nh1eDNnzmzMfM973vPkk0/GS4M+97nPJSdpSDaiWhLwNf6fZM5w1lxzzeSNDUcccUS82o4ZM2bE+wd9+tOfjgMAFWA7ddupV4GGD3qLTdi7yibsdaDhK1OuDEuGhq86NHwAQCENHwBAIQ0fpPVKw3f99dfHt0NNxqbeuPzyyxvX+uhHPxo/p0ydOjX5JImHHnooDgxjypQpjWnNvzbp0EMPTc6QWBLwtVIG7LDDDsm7Gv7hH/4hXm1H4/PE+weddtppcQCgAmyn3rgj2E69dBo+6C02Ye8qm7DXgYavTLkyLBkavurQ8AEAhTR8AACFNHyQ1isN37//+7/Ht0NNxqbe2HrrrRvXysUTiZ122in5JInCX8WUJCC33npr/PyKJSFIIgn4jj766Di8VIcffnjyrsQzzzwTB1qW/GapJW6//fY4AFABtlO3nXoVaPigh9iEvcEm7IyShq9MuTIsGRq+6tDwAQCFNHwAAIU0fJDWKw1frjBLe/rpp2NS15xzzjmNC+27777xc9Zqq62WfJLEc889FweGcs899zTmbL755vFzyqabbpqcYYmJEyfGsSIHH3xwvGfQbbfdFgdaFu8cNMbfawIsne3UkznDsZ36mNHwQQ+xCbtN2Bk9DV+ZcmVYMjR81aHhAwAKafgAAApp+CCtVxq++AqoydjUG+9///sb12r+zXkNv/jFL5JPkthpp53iwDC+8Y1vNKYN+asvXvWqVyUnSWy22WZLzwHT9txzz3jboJkzZ8aB1uS+49xvv/3iAEAF2E596WynPmY0fNBDbMLeuI/YhJ1R0vCVKVeGJUPDVx0aPgCgkIYPAKCQhg/SeqLhy/1+oLQpU6bEpK655pprGhca7rcrTZo0KfkkiVNOOSUODCP5PRy579Ia7r333uQMSzTPWYrc7yl84okn4kBrjj766HjnoB/84AdxAKACbKe+dLZTHzMaPughNmG3CTujp+ErU64MS4aGrzo0fABAIQ0fAEAhDR+k9UTDlysb0pp/lVHHnXrqqY0LDfkF20MPPfS6170u+SQNr371q//0pz/FsaE899xzjWlbb711/Jzyox/9KDlJoq1/ruS0S7zpTW+KAy3bcsst482D7rrrrjgAUAG5wizNduoNtlMfMxo+6BU2YU/mDMcm7LRIw1emXBmWDA1fdWj4AIBCGj4AgEIaPkjriYYvvhoayoEHHhiTuub0008fP378448/Hj+nnHTSSfE5Bu2xxx5xYBgPPfRQY9rll18eP6cccsghyUkS1157bRxowSWXXBJvG9R69pGYM2dOvHPQBhtsEAcAqiGWpya2U0/YTn3MaPigV9iEfelswk6LNHxlypVhydDwVYeGDwAopOEDACik4YO0yjZ8c+bM+e///u8jjzwyvhcaxtve9rbmX24xZrbbbrv4HIPOPffcONC+DTfcMM6yzDJveMMbFi1aFAdakPsC7/TTT48DrTn//PPjnYMmTZoUBwAqwHbqhWynPmY0fNArbMK+dDZhp0UavjLlyrBkaPiqQ8MHABTS8AEAFNLwQVpZDd+0lC984Qv777//Jz/5yQkTJuy4444bbLDBG97whvg6qDUrrrjieuutt8MOO+y1114HHXRQnDcrLtw5d911V1x+0CabbBIH2vf000/HWQZ9+MMfjgOt2XzzzeOdg5a+n2+zz3zmM/HOQYUNCsBYsp360tlOfSxp+KBX2IR96WzCTos0fGXKlWHJ0PBVh4YPACik4QMAKKThg7RSGr7c740bG9tuu21cvkOOPfbYOPWgk08+OQ6079JLL42zDDr++OPjQAvuvPPOeNug9773vXGgZe9617vizYNmz54dBwAqINamodhOvcF26mNJwwe9Iha1JjZhT9iEnRZp+MqUK8OSoeGrDg0fAFBIwwcAUEjDB2mlNHxL+cUY3fPb3/42Lt8h//iP/xinXmaZ1772tQ8//HAcaF+u3rj55pvjQAsaT3zxtkHHHHNMHGjNrFmz4p2DhtsvEmAs2U49DrTAdupjScMHPcEm7IVyj2M2YWc4Gr4y5cqwZGj4qkPDBwAU0vABABTS8EFaKQ3ftGnTJk2atP3223/4wx/eY4899t5778mTJx9wwAGHHnro1KlTG0dH4N/+7d++9KUvHXLIIY3z7Lvvvo1zNs68884777DDDh//+McvuOCCuHaHXHvttfGd1aCPfvSjcWBE0vXGG9/4xni1NbmI5Ne//nUcaM1pp50W7xz0qU99Kg4AdE0s3INsp2479R6i4YOeYBP2pbMJO63T8JUpV4YlQ8NXHRo+AKCQhg8AoJCGD9JKafj6QOPhK76zGnTOOefEgfbl6o3ddtstDrTg/vvvj7cNestb3vL888/HsdZ84hOfiDcPmj59ehwA6I5StlPveLRhO/V60vBBT4gVbSg2YW+wCTut0/CVKVeGJUPDVx0aPgCgkIYP0g477LB9m/hWEgANH6Rp+Ebg2WefHTduXHxttcwyq6yyylNPPRXH2perN0466aQ40ILvfOc78bZB++yzTxxo2VprrRVvHvTnP/85DtTVvHnz4skh66abbooZwOiUsp36/Pnz4/IdYjv1etLwQWXZhD0OtMAm7LROw1emXBmWDA1fdWj4AIBCGj5ImzRpUvzXIGU0/+N4APqDhg/SNHwjcM4558R3VoMmT54cB0YkV2/ceeedcaAF22+/fbxt0E9+8pM40JrHHnss3jnone98Zxyosblz58ZdIev666+PGcDoTLOdepbt1HuIhg/KEsv9IJuw24SdMaPhK1OuDEuGhq86NHwAQCENH6Rp+AAY0uLFiycP5UrJErWk4RuBCRMmxHdWgy699NI4MCLpemOFFVaIV1swc+bMeNug1VdffcGCBXGsNY11L948aMqUKXGgxjR8QCHbqdfWfffdF08OWfYghq4qZRP2bbfdNi7fITZhpxdp+MqUK8OSoeGrDg0fAFBIwwdpGj4AgEIavnblyrl11lnnpZdeimMphxxyyH777Rc/DC9Xb+ywww5xoAXHH398vG3QcAXexIkTh/tVIo3X482DCn+N3yWXXNLKP1RP0/ABS2c7dYAxVsom7L/97W/j8h1iE3Z6kYavTLkyLBkavurQ8AEAhTR8kKbhAwAopOFr19SpU+M7q0GHH354HEi56qqrGocmTpwYPw8vV2+0tW/X1ltvHW8bdPnll8eBlF/84heNQ40/GMfPWY0/HifvTcybNy8ODOWss85qzPn4xz8eP/cpDR+wdLZTBxhjjT8h24Q9zSbsjBkNX5lyZVgyNHzVoeEDAApp+CBNwwcAUEjD167cby266aab4kDKtMHfbzd16tT4eXi5euOaa66JA0Vuu+22eM+gddZZZ/HixXEs5dOf/nTj6HnnnRc/Z73mNa9J3t6w/vrrx6vDSH4DSuMfLX7uUxo+YOlspw5Au2zCTo/S8JUpV4YlQ8NXHRo+AKCQhg/SNHwAAIU0fG3J/dq897///XEga/31128cveGGG+Ln4aXrjYaFCxfGgSKnnnpqvGfQoYceGgdSHn/88ZVXXnn8+PEvvPBCvJRy9dVXx5sHff7zn48DQ7nssssac97+9rc/+eST8VKf0vABS2E79fgBgJbZhJ3epeErU64MS4aGrzo0fABAIQ0fpGn4AAAKafjacuihh8YXVoO+9a1vxYGU5Hu1HXfcMX4eXq7e2GijjeJACz7zmc/E2wbNmDEjDqScccYZjUPf+MY34uesXL1x5plnxoEmzz///Oabb96Y873vfS9e6l8aPmApbKcePwPQMpuw07s0fGXKlWHJ0PBVh4YPACik4YM0DR8AQCENX1smTpwY31kNuvrqq+NAyj777NM4dPbZZ8fPw8vVGwcddFAcaMG73/3ueNvgNljxataHPvShNddcc+7cufFzVq7hG7ICTCQzt99++/i5r2n4gKWwnXr8DEDLbMJO79LwlSlXhiVDw1cdGj4AoJCGD9I0fAAAhTR8bWn8eTK+sxr0v//7v3HgFQ8++ODyyy+/8847x89Llas3LrjggjjQgje/+c3xtmWW2WWXXeLVlP/8z/9sHFrKn36vu+665O2JOXPmxIGsW2+99TWveU3jcg888EC81Nc0fMBwcuG17dQBKGQT9viB3qThK1OuDEuGhq86NHwAQCENH6Rp+AAACmn42pL+4mrbbbeNV1M+8YlPvPa1r7311lvj56XK1RuPPPJIHGhB48+68bZlljnwwAPj1VcsWLBg/fXXX/q3ermvAP/2t7/FgZTnnntu1113bRz95S9/GS/1Ow0fMBzbqcdLALTMJuzxM71Jw1emXBmWDA1fdWj4AIBCGj5I0/ABABTS8LXlggsuSL6yajjkkEPi1VcceOCBjdePPfbY+HmpcvXGkEXgUvzwhz+Mdw61Y2MSZxRuy7jVVlslZ2iYNWtWvPqKe+65Z4sttmgcqlW3oeEDhmM7dQDaZRP2+JnepOErU64MS4aGrzo0fABAIQ0fpGn4AAAKafja8uKLL37oQx9KvrjacMMN49WBgaeeeuroo49uvDh58uR4qUjy+zaWaPf7reeee+6f/umfkvfutdde8erAwAMPPND4Q2/jxeOPPz5eGt7pp5+enKEh97uaLrnkktVWW63x+s9+9rN4qR40fMBwGktBsmAmbKcOwNLZhN0m7L1Ow1emdBa2ZGj4qkPDBwAU0vBBmoYPAKCQhq9d8+bN+8d//Mfku6vGHy9/8pOfTJgwYcUVV2z82Eo2t8T06dOTkzT83d/93d133x0HWnbvvfeuvPLKyRkaf/T96U9/2vi/b37zm1daaaXWW5APfvCDyRkaPve5z1100UV77bVXUu9ttdVWv//972NebWj4gOGkf3ed7dQBKGQT9niJnqXhK1OuDEuGhq86NHwAQCENH6Rp+AAACmn4RuAPf/jDfvvtN378+OQbrJVXXnn33Xf/8Y9/HIdblmzLuMoqq5x66qnxUpsuu+yyxknWWGON5JO8853v/PSnP91iPrLEz372s3XWWSc5Q8Pyyy//3ve+97DDDps/f37MqBMNHzAc26kD0BabsNPrNHxlypVhydDwVYeGDwAopOGDNA0fAEAhDd9o/O///u+dd94ZP4zIUr79assDDzzw8MMPxw/te+GFF+bMmXPXXXfdcccd8VJdafiA4dhOHYC2JGvyEjZhp+do+MqUzsKWDA1fdWj4AIBCGj5I0/ABABTS8EGahg9YCtupA9C69O+uswk7vUjDV6ZcGZYMDV91aPgAgEIaPkjT8AEAFNLwQZqGD1g626kD0CKbsNPrNHxlypVhydDwVYeGDwAopOGDNA0fAEAhDR+kafiAFtlOHYClswk7vU7DV6Z0FrZkaPiqQ8MHABTS8EGahg8AoJCGD9I0fAAAdIpN2OlpGr4y5cqwZGj4qkPDBwAU0vBBmoYPAKCQhg/SNHwAAHSQTdjpXRq+MuXKsGRo+KpDwwcAFNLwQZqGDwCgkIYP0jR8AAB0g03Y6TkavjLlyrBkaPiqQ8MHABTS8EGahg8AoJCGD9I0fAAAAA0avjLlyrBkaPiqQ8MHABTS8EGahg8AoJCGD9I0fAAAAA0avjLlyrBkaPiqQ8MHABTS8EGahg8AoJCGD9I0fAAAAA0avjLlyrBkaPiqQ8MHABTS8EGahg8AoJCGD9I0fAAAAA0avjLlyrBkaPiqQ8MHABTS8EGahg+A4cwbysKFC+Mw1ImGD9I0fAAM54UXXognh6zG6zEDAPqIhq9MuTIsGRq+6tDwAQCFNHyQpuEDYEgvvfRS3BWyLrzwwpgBdaLhgzQNHwDDmTlzZtwVsu71XS0A/UjDV6ZcGZYMDV91aPgAgEIaPkjT8AEwJA0fpGn4IE3DB8BwNHwA1IqGr0y5MiwZGr7q0PABAIU0fJCm4QNgSBo+SNPwQZqGD4DhaPgAqBUNX5lyZVgyNHzVoeEDAApp+CBNwwfAkDR8kKbhgzQNHwDD0fABUCsavjLlyrBkaPiqQ8MHABTS8EHaWWed9b0m1113XRwGoK40fJCm4YO0+fPnx5ND1n333RczAKgrDR8AtaLhK1OuDEuGhq86NHwAQCENHwBAIQ0fpGn4AABaoeEDoFY0fGXKlWHJ0PBVh4YPACik4QMAKKThgzQNHwBAKzR8ANSKhq9MuTIsGRq+6tDwAQCFNHwAAIU0fJCm4QMAaIWGD4Ba0fCVKVeGJUPDVx0aPgCgkIYPAKCQhg/SNHwAAK3Q8AFQKxq+MuXKsGRo+KpDwwcAFNLwAQAU0vBBmoYPAKAVGj4AakXDV6ZcGZYMDV91aPgAgEIaPgCAQho+SNPwAQC0QsMHQK1o+MqUK8OSoeGrDg0fAFBIwwcAUEjDB2kaPgCAVmj4AKgVDV+ZcmVYMjR81aHhAwAKafgAAApp+CBNwwcA0AoNHwC1ouErU64MS4aGrzo0fABAIQ0fAEAhDR+kafgAAFqh4QOgVjR8ZcqVYcnQ8FWHhg8AKKThAwAopOGDNA0fAEArNHwA1IqGr0y5MiwZGr7q0PABAIU0fAAAhTR8kKbhAwBohYYPgFrR8JUpV4YlQ8NXHRo+AKCQhg8AoJCGD9I0fAAArdDwAVArGr4y5cqwZGj4qkPDBwAU0vABABTS8EGahg8AoBUaPgBqRcNXplwZlgwNX3Vo+ACAQho+AIBCGj5I0/ABALRCwwdArWj4ypQrw5Kh4asODR8AUEjDBwBQSMMHaRo+AIBWaPgAqBUNX5lyZVgyNHzVoeEDAApp+AAACmn4IE3DBwDQCg0fALWi4StTrgxLhoavOjR8AEAhDR8AQCENH6Rp+AAAWqHhA6BWNHxlypVhydDwVYeGDwAopOEDACik4YM0DR8AQCs0fADUioavTLkyLBkavurQ8AEAhTR8AACFNHyQpuEDAGiFhg+AWtHwlSlXhiVDw1cdGj4AoJCGDwCgkIYP0jR8AACt0PABUCsavjLlyrBkaPiqQ8MHABTS8AEAFNLwQZqGDwCgFRo+AGpFw1emXBmWDA1fdWj4AIBCGj4AgEIaPkjT8AEAtELDB0CtaPjKlCvDkqHhqw4NHwBQSMMHAFBIwwdpGj4AgFZo+ACoFQ1fmXJlWDI0fNWh4QMACmn4IO2GG264psmsWbPiMAB1peGDNA0fpD333HPx5JD12GOPxQwA6krDB0CtaPjKlCvDkqHhqw4NHwBQSMMHaZMmTYr/GqScfPLJcRiAutLwQZqGD9Lmzp0bd4Ws66+/PmYAUFcaPgBqRcNXplwZlgwNX3Vo+ACAQho+SNPwATAkDR+kafggTcMHwHA0fADUioavTLkyLBkavurQ8AEAhTR8kKbhA2BIL7/88q+H8uCDD8YMqBMNH6Rp+AAYzlNPPRVPDlmN12MGAPQRDV+ZcmVYMjR81aHhAwAKafggTcMHAFBIwwdpGj4AAIAGDV+ZcmVYMjR81aHhAwAKafggTcMHAFBIwwdpGj4AAIAGDV+ZcmVYMjR81aHhAwAKafggTcMHAFBIwwdpGj4AAIAGDV+ZcmVYMjR81aHhAwAKafggTcMHAFBIwwdpGj4AAIAGDV+ZcmVYMjR81aHhAwAKafggTcMHAFBIwwdpGj4AAIAGDV+ZcmVYMjR81aHhAwAKafggTcMHAFBIwwdpGj4AAIAGDV+ZHvqXf8nFYY0x/6qr4jBle/7Pf879u5OMF596KmYAALWn4YM0DR8AQCENH6Rp+AAAABo0fGV67D/+IxeHNcZzd98dhynby88//+A+++T+DWr8uxaHAQA0fJCl4QMAKKThgzQNHwAAQIOGr0zNv+bNRrpV8/Rll+X+PWr8uxbHAAA0fJCl4QMAKKThgzQNHwAAQIOGr2QvPfvsE2ef/di0aX/59rcX3HhjvEqVLLr//nmnnPI/Rx31+A9/2Pj3K14FABik4YM0DR8AQCENH6Rp+AAAABo0fAAAMHIaPkjT8AEAFNLwQZqGDwAAoEHDBwAAI6fhgzQNHwBAIQ0fpGn4AAAAGjR8AAAwcho+SNPwAQAU0vBBmoYPAACgQcMHAAAjp+GDNA0fAEAhDR+kafgAAAAaNHwAADByGj5I0/ABABTS8EGahg8AAKBBwwcAACOn4YM0DR8AQCENH6Rp+AAAABo0fAAAMHIaPkjT8AEAFNLwQZqGDwAAoEHDBwAAI6fhgzQNHwBAIQ0fpGn4AAAAGjR8AAAwcho+SNPwAQAU0vBBmoYPAACgQcMHAAAjp+GDNA0fAEAhDR+kafgAAAAaNHwAADByGj5I0/ABABTS8EGahg8AAKBBwwcAACOn4YM0DR8AQCENH6Rp+AAAABo0fAAAMHIaPkjT8AEAFNLwQZqGDwAAoEHDBwAAI6fhgzQNHwBDWrx48XeHcvvtt8cMqBMNH6Rp+AAYzqOPPhpPDllz5syJGQDQRzR8AAAwcho+SNPwATCkl156Ke4KWRdeeGHMgDrR8EGahg+A4cycOTPuCln33ntvzACAPqLhAwCAkdPwQZqGD4AhafggTcMHaRo+AIaj4QOgVjR8AAAwcho+SNPwATAkDR+kafggTcMHwHA0fADUioYPAABGTsMHaRo+AIak4YM0DR+kafgAGI6GD4Ba0fABAMDIafgg7cknn3y8yYIFC+IwAHWl4YM0DR+kNe4R8eSQtWjRopgBQF1p+ACoFQ0fAACMnIYPAKCQhg/SNHwAAK3Q8AFQKxo+AAAYOQ0fAEAhDR+kafgAAFqh4QOgVjR8AAAwcho+AIBCGj5I0/ABALRCwwdArWj4AABg5DR8AACFNHyQpuEDAGiFhg+AWtHwAQDAyGn4AAAKafggTcMHANAKDR8AtaLhAwCAkdPwAQAU0vBBmoYPAKAVGj4AakXDBwAAI6fhAwAopOGDNA0fAEArNHwA1IqGDwAARk7DBwBQSMMHaRo+AIBWaPgAqBUNHwAAjJyGDwCgkIYP0jR8AACt0PABUCsaPgAAGDkNHwBAIQ0fpGn4AABaoeEDoFY0fAAAMHIaPgCAQho+SNPwAQC0QsMHQK1o+AAAYOQ0fAAAhTR8kKbhAwBohYYPgFrR8AEAwMhp+AAACmn4IE3DBwDQCg0fALWi4QMAgJHT8AEAFNLwQZqGDwCgFRo+AGpFwwcAACOn4QMAKKThgzQNHwBAKzR8ANSKhg8AAEZOwwcAUEjDB2kaPgCAVmj4AKgVDR8AAIychg8AoJCGD9I0fAAArdDwAVArGj4AABg5DR8AQCENH6Rp+AAAWqHhA6BWNHwAADByGj4AgEIaPkjT8AEAtELDB0CtaPgAAGDkNHwAAIU0fJCm4QMAaIWGD4Ba0fABAMDIafgAAApp+CBNwwcA0AoNHwC1ouEDAICR0/ABABTS8EGahg8AoBUaPgBqRcMHAAAjp+EDACik4YM0DR8AQCs0fADUioYPAABGTsMHaYcddti+TaZPnx6HAagrDR+kafggbd68efHkkHXTTTfFDADqSsMHQK1o+AAAYOQ0fJA2adKk+K9BysknnxyHAagrDR+kafggbe7cuXFXyLr++utjBgB1peEDoFY0fAAAMHIaPkjT8AEwpMWLF08eypWSJWpJwwep0/SdAAD/9ElEQVRpGj4AhnPffffFk0PW7NmzYwYA9BENHwAAjJyGD9I0fAAAhTR8kKbhAwAAaNDwAQDAyGn4IE3DBwBQSMMHaRo+AACABg0fAACMnIYP0jR8AACFNHyQpuEDAABo0PABAMDIafggTcMHAFBIwwdpGj4AAIAGDR8AAIychg/SNHwAAIU0fJCm4QMAAGjQ8AEAwMhp+CBNwwcAUEjDB2kaPgAAgAYNHwAAjJyGD9I0fAAAhTR8kKbhAwAA+P+zdydQclX1ov/zrkoAQUDAYBguAjIYCYEwDxoFFNELQojM3EAkyBwQMAj3vX4iIILkCgKCQERmFIHLJBDIH5F5TlYgioJCBAzzaMCg//O6fsnaJ9Wdqj5d1d1V5/NZLrXr7NqnUivsk5P6Ujuj4QMAgOI0fJDS8AEA1KThg5SGDwAAIKPhAwCA4jR8kNLwAQDUpOGDlIYPAAAgo+EDAIDiNHyQ0vABANSk4YOUhg8AACCj4QMAgOI0fJDS8AEA1KThg5SGDwAAIKPhAwCA4jR8kNLwAQDUpOGDlIYPAAAgo+EDAIDiNHyQ0vABANSk4YOUhg8AACCj4QMAgOI0fJDS8AEA1KThg5SGDwAAIKPhAwCA4jR8kNLwAQDUpOGDlIYPAAAgo+EDAIDiNHyQ0vABANSk4YOUhg8AACCj4QMAgOI0fJDS8AEA1KThg5SGDwAAIKPhAwCA4jR8kNLwAQDUpOGDlIYPAAAgo+EDAIDiNHyQ0vABANSk4YOUhg8AACCj4QMAgOI0fJDS8AEA1KThg5SGDwAAIKPhAwCA4jR8kNLwAQDUpOGDlIYPAAAgo+EDAIDiNHyQ0vABANSk4YOUhg8AACCj4QMAgOI0fJDS8AEA1KThg5SGDwAAIKPhAwCA4jR8kNLwAdCd2V1555134jCUiYYPUho+ALrz/vvvx51DXvZ4jACANqLhAwCA4jR8kNLwAdCluXPnxlUh78orr4wRUCYaPkhp+ADozrRp0+KqkDd9+vQYAQBtRMMHAADFafggpeEDoEsaPkhp+CCl4QOgOxo+AEpFwwcAAMVp+CCl4QOgSxo+SGn4IKXhA6A7Gj4ASkXDBwAAxWn4IKXhA6BLGj5IafggpeEDoDsaPgBKRcMHAADFafggdcEFF5xR5fbbb4/DAJSVhg9SGj5IvfHGG3HnkPfkk0/GCADKSsMHQKlo+AAAoDgNHwBATRo+SGn4AADqoeEDoFQ0fAAAUJyGDwCgJg0fpDR8AAD10PABUCoaPgAAKE7DBwBQk4YPUho+AIB6aPgAKBUNHwAAFKfhAwCoScMHKQ0fAEA9NHwAlIqGDwAAitPwAQDUpOGDlIYPAKAeGj4ASkXDBwDQK08++eS9TdOov4x46623YsbmeO211+JMvdOKb+Yuu+yyZZWDDjooDvdcmd/MhvNmNlCj3syZM2fGjE3gzWwgb2YDeTMbyJvZQH38Zt59993x56S873//+zGiG97MBvJmNlAv38z5Dd8XvjBzyy3vnf+f006L+RvC78wG8mY2kDezgbyZDeTNbCBvZgN5My+55JK4c8i79NJLY0TdvJkN5M1sIG9mA5XtzYzp7r33L3/5SzxE69PwAQD0SkdHR/zbf03w7W9/O07TO7///e9jxuZ46KGH4ky90xJv5h/+8IeYsdOqq646pMo666wTh3uuzG9mw3kzG8ib2UDezAbyZjZQo97M//t//2/M2ATezAbq4zfza1/7Wvw5KW/kyJExohst8WYeeeSRcZre8TszU5I3c37Dt9Za/3fIkP+Y/5+NN475G8LvzAbyZjaQN7OBvJkN5M1sIG9mA3kzP//5z8edQ96oUaNiRN1a5c188MEH40y943dmxpvZQN7MBmrUmxnT/cd/TJ48OR6i9Wn4AAB6pSU+9dfwZZr0QbWGrzeafTPszWwgb2YDeTMbyJvZQI16M5v6t7HezAbq4zdTw1cPvzMzJXkzNXwpvzMbyJvZQN7MBvJmNpA3s4G8mQ3UvDdTw1eY35kZb2YDeTMbSMPHQmj4AAB6pSU+9dfwZZr0QbWGrzeafTPszWwgb2YDeTMbyJvZQI16M5v6t7HezAbq4zdTw1cPvzMzJXkzNXwpvzMbyJvZQN7MBvJmNpA3s4G8mQ3UvDdTw1eY35kZb2YDeTMbSMPHQmj4AAB6pSU+9dfwZZr0QbWGrzeafTPszWwgb2YDeTMbyJvZQI16M5v6t7HezAbq4zdTw1cPvzMzJXkzNXwpvzMbyJvZQN7MBvJmNpA3s4G8mQ3UvDdTw1eY35kZb2YDeTMbSMPHQmj4AAB6pSU+9dfwZZr0QbWGrzeafTPszWwgb2YDeTMbyJvZQI16M5v6t7HezAbq4zdTw1cPvzMzJXkzNXwpvzMbyJvZQN7MBvJmNpA3s4G8mQ3UvDdTw1eY35kZb2YDeTMbSMPHQmj4AAB6pSU+9dfwZZr0QbWGrzeafTPszWwgb2YDeTMbyJvZQI16M5v6t7HezAbq4zdTw1cPvzMzJXkzNXwpvzMbyJvZQN7MBvJmNpA3s4G8mQ3UvDdTw1eY35kZb2YDeTMbSMPHQmj4AAB6pSU+9dfwZZr0QbWGrzeafTPszWwgb2YDeTMbyJvZQI16M5v6t7HezAbq4zdTw1cPvzMzJXkzNXwpvzMbyJvZQN7MBvJmNpA3s4G8mQ3UvDdTw1eY35kZb2YDeTMbSMPHQmj4AAB65YUXXni6af7617/GaXpnzpw5MWNzvPPOO3Gm3mnFN3PvvffeusoxxxwTh3uuzG9mw3kzG8ib2UDezAbyZjaQN7OBvJnVnnrqqfhzUt6ZZ54ZI7rhzWwgb2YD9fLNnN/wfelLL2y99dPz/3P++TF/Q/id2UDezAbyZjaQN7OBvJkN5M1sIG/mzTffHHcOeb/5zW9iRN28mQ3kzWwgb2YDle3NjOmefvqVV16Jh2h9Gj4AACju4IMPjn/XKfGDH/wgDgMA8K9/zZ07N/6clHfllVfGCCiT+Q3fAv+5/voYAABAZtq0aXHnkDd9+vQYAQBtRMMHAADFafgAAGrS8EFKwwcAUA8NHwClouEDAIDiNHwAADVp+CCl4QMAqIeGD4BS0fABAEBxGj4AgJo0fJDS8AEA1EPDB0CpaPgAAKA4DR8AQE0aPkhp+AAA6qHhA6BUNHwAAFCchg8AoCYNH6Q0fAAA9dDwAVAqGj4AAChOwwcAUJOGD1IaPgCAemj4ACgVDR8AABSn4QMAqEnDBykNHwBAPTR8AJSKhg8AAIrT8AEA1KThg5SGDwCgHho+AEpFwwcAAMVp+CB155133lplxowZcRiAstLwQUrDB6l333037hzynn/++RgBQFlp+AAoFQ0fAAAUp+GD1NixY+Mfg8SZZ54ZhwEoKw0fpDR8kHrhhRfiqpB3xx13xAgAykrDB0CpaPgAAKA4DR+kNHwAdEnDBykNH6Q0fAB0R8MHQKlo+AAAoDgNH6Q0fAB06Z///OdtXXn66adjBJSJhg9SGj4AuvPqq6/GnUNe9niMAIA2ouEDAIDiNHyQ0vABANSk4YOUhg8AACCj4QMAgOI0fJDS8AEA1KThg5SGDwAAIKPhAwCA4jR8kNLwAQDUpOGDlIYPAAAgo+EDAIDiNHyQ0vABANSk4YOUhg8AACCj4QMAgOI0fJDS8AEA1KThg5SGDwAAIKPhAwCA4jR8kNLwAQDUpOGDlIYPAAAgo+EDAIDiNHyQ0vABANSk4YOUhg8AACCj4QMAgOI0fJDS8AEA1KThg5SGDwAAIKPhAwCA4jR8kNLwAQDUpOGDlIYPAAAgo+EDAIDiNHyQ0vABANSk4YOUhg8AACCj4QMAgOI0fJDS8AEA1KThg5SGDwAAIKPhAwCA4jR8kNLwAQDUpOGDlIYPAAAgo+EDAIDiNHyQ0vABANSk4YOUhg8AACCj4QMAgOI0fJDS8AEA1KThg5SGDwAAIKPhAwCA4jR8kNLwAQDUpOGDlIYPAAAgo+EDAIDiNHyQ0vABANSk4YOUhg8AACCj4QMAgOI0fJDS8AEA1KThg5SGDwAAIKPhAwCA4jR8kNLwAQDUpOGDlIYPAAAgo+EDAIDiNHyQ0vABANSk4YOUhg8AACCj4QMAgOI0fJDS8AEA1KThg5SGDwAAIKPhAwCA4jR8kNLwAQDUpOGDlIYPAAAgo+EDAIDiNHyQ0vABANSk4YOUhg8AACCj4QMAgOI0fJDS8AEA1KThg5SGDwAAIKPhAwCA4jR8kNLwAdClDz744MddeeCBB2IElImGD1IaPgC689xzz8WdQ96sWbNiBAC0EQ0fAAAUp+GDlIYPgC7NnTs3rgp5V155ZYyAMtHwQUrDB0B3pk2bFleFvOnTp8cIAGgjGj4AAChOwwcpDR8AXdLwQUrDBykNHwDd0fABUCoaPgAAKE7DBykNHwBd0vBBSsMHKQ0fAN3R8AFQKho+AAAoTsMHKQ0fAF3S8EFKwwcpDR8A3dHwAVAqGj4AAChOwwepV1555aUqb731VhwGoKw0fJDS8EEqu0bEnUPenDlzYgQAZaXhA6BUNHwAAFCchg8AoCYNH6Q0fAAA9dDwAVAqGj4AAChOwwcAUJOGD1IaPgCAemj4ACgVDR8AABSn4QMAqEnDBykNHwBAPTR8AJSKhg8AAIrT8AEA1KThg5SGDwCgHho+AEpFwwcAAMVp+AAAatLwQUrDBwBQDw0fAKWi4QMAgOI0fAAANWn4IKXhAwCoh4YPgFLR8AEAQHEaPgCAmjR8kNLwAQDUQ8MHQKlo+AAAoDgNHwBATRo+SGn4AADqoeEDoFQ0fAAAUJyGDwCgJg0fpDR8AAD10PABUCoaPgAAKE7DBwBQk4YPUho+AIB6aPgAKBUNHwAAFKfhAwCoScMHKQ0fAEA9NHwAlIqGDwAAitPwAQDUpOGDlIYPAKAeGj4ASkXDBwAAxWn4AABq0vBBSsMHAFAPDR8ApaLhAwCA4jR8AAA1afggpeEDAKiHhg+AUtHwAQBAcRo+AICaNHyQ0vABANRDwwdAqWj4AACgOA0fAEBNGj5IafgAAOqh4QOgVDR8AABQnIYPAKAmDR+kNHwAAPXQ8AFQKho+AAAoTsMHAFCThg9SGj4AgHpo+AAoFQ0fAAAUp+EDAKhJwwcpDR8AQD00fACUioYPAACK0/ABANSk4YOUhg8AoB4aPgBKRcMHAADFafgAAGrS8EFKwwcAUA8NHwClouEDAIDiNHwAADVp+CCl4QMAqIeGD4BS0fABAEBxGj4AgJo0fJDS8AEA1EPDB0CpaPgAAKA4DR+kjjzyyH2rTJ48OQ4DUFYaPkhp+CA1e/bsuHPIu/vuu2MEAGWl4QOgVDR8AABQnIYPUmPHjo1/DBJnnnlmHAagrDR8kNLwQeqFF16Iq0LeHXfcESMAKCsNHwClouEDAIDiNHyQ0vAB0KUPPvhgv65cL1milDR8kNLwAdCdJ598Mu4c8mbOnBkjAKCNaPgAAKA4DR+kNHwAADVp+CCl4QMAAMho+AAAoDgNH6Q0fAAANWn4IKXhAwAAyGj4AACgOA0fpDR8AAA1afggpeEDAADIaPgAAKA4DR+kNHwAADVp+CCl4QMAAMho+AAAoDgNH6Q0fAAANWn4IKXhAwAAyGj4AACgOA0fpDR8AAA1afggpeEDAADIaPgAAKA4DR+kNHwAADVp+CCl4QMAAMho+AAAoDgNH6Q0fAAANWn4IKXhAwAAyGj4AACgOA0fpDR8AAA1afggpeEDAADIaPgAAKA4DR+kNHwAADVp+CCl4QMAAMho+AAAoDgNH6Q0fAAANWn4IKXhAwAAyGj4AACgOA0fpDR8AAA1afggpeEDAADIaPgAAKA4DR+kNHwAADVp+CCl4QMAAMho+AAAoDgNH6Q0fAAANWn4IKXhAwAAyGj4AACgOA0fpDR8AAA1afggpeEDAADIaPgAAKA4DR+kNHwAADVp+CCl4QMAAMho+AAAoDgNH6Q0fAAANWn4IKXhAwAAyGj4AACgOA0fpDR8AAA1afggpeEDAADIaPgAAKA4DR+kNHwAADVp+CCl4QMAAMho+AAAoDgNH6Q0fAAANWn4IKXhAwAAyGj4AACgOA0fpDR8AAA1afggpeEDAADIaPgAAKA4DR+kNHwAADVp+CCl4QMAAMho+AAAoDgNH6Q0fAAANWn4IKXhAwAAyGj4AACgOA0fpDR8AHRndlfeeeedOAxlouGDlIYPgO68//77ceeQlz0eIwCgjWj4AACgOA0fpDR8AHRp7ty5cVXIu/LKK2MElImGD1IaPgC6M23atLgq5E2fPj1GAEAb0fABAEBxGj5IafgA6JKGD1IaPkhp+ADojoYPgFLR8AEAQHEaPkhp+ADokoYPUho+SGn4AOiOhg+AUtHwAQBAcRo+SGn4AOiShg9SGj5IafgA6I6GD4BS0fABAEBxGj5IXXDBBWdUuf322+MwAGWl4YOUhg9Sb7zxRtw55D355JMxAoCy0vABUCoaPgAAKE7DBwBQk4YPUho+AIB6aPgAKBUNHwAAFKfhAwCoScMHKQ0fAEA9NHwAlIqGDwAAitPwAQDUpOGDlIYPAKAeGj4ASkXDBwAAxWn4AABq0vBBSsMHAFAPDR8ApaLhAwCA4jR8AAA1afggpeEDAKiHhg+AUtHwAQBAcRo+AICaNHyQ0vABANRDwwdAqWj4AACgOA0fAEBNGj5IafgAAOqh4QOgVDR8AABQnIYPAKAmDR+kNHwAAPXQ8AFQKho+AAAoTsMHAFCThg9SGj4AgHpo+AAoFQ0fAAAUp+EDAKhJwwcpDR8AQD00fACUioYPAACK0/ABANSk4YOUhg8AoB4aPgBKRcMHAADFafgAAGrS8EFKwwcAUA8NHwClouEDAIDiNHwAADVp+CCl4QMAqIeGD4BS0fABAEBxGj4AgJo0fJDS8AEA1EPDB0CpaPgAAKA4DR8AQE0aPkhp+AAA6qHhA6BUNHwAAFCchg8AoCYNH6Q0fAAA9dDwAVAqGj4AAChOwwcAUJOGD1IaPgCAemj4ACgVDR8AABSn4QMAqEnDBykNHwBAPTR8AJSKhg8AAIrT8AEA1KThg5SGDwCgHho+AEpFwwcAAMVp+AAAatLwQUrDBwBQDw0fAKWi4QMAgOI0fAAANWn4IKXhAwCoh4YPgFLR8AEAQHEaPgCAmjR8kNLwAQDUQ8MHQKlo+AAAoDgNHwBATRo+SGn4AADqoeEDoFQ0fAAAUJyGD1J33nnnrVVmzJgRhwEoKw0fpDR8kHr33XfjziHv+eefjxEAlJWGD4BS0fABAEBxGj5IjR07Nv4xSJx55plxGICy0vBBSsMHqRdeeCGuCnl33HFHjACgrDR8AJSKhg8AAIrT8EFKwwdAlzR8kNLwQUrDB0B3NHwAlIqGDwAAitPwQUrDB0CX/vnPf97WlaeffjpGQJlo+CCl4QOgO6+++mrcOeRlj8cIAGgjGj4AAChOwwcpDR8AQE0aPkhp+AAAADIaPgAAKE7DBykNHwBATRo+SGn4AAAAMho+AAAoTsMHKQ0fAEBNGj5IafgAAAAyGj4AAChOwwcpDR8AQE0aPkhp+AAAADIaPgAAKE7DBykNHwBATRo+SGn4AAAAMho+AAAoTsMHKQ0fAEBNGj5IafgAAAAyGj4AAChOwwcpDR8AQE0aPkhp+AAAADIaPgAAKE7DBykNHwBATRo+SGn4AAAAMho+AAAoTsMHKQ0fAEBNGj5IafgAAAAyGj4AAChOwwcpDR8AQE0aPkhp+AAAADIaPgAAKE7DBykNHwBATRo+SGn4AAAAMho+AAAoTsMHKQ0fAEBNGj5IafgAAAAyGj4AAChOwwcpDR8AQE0aPkhp+AAAADIaPgAAKE7DBykNHwBATRo+SGn4AAAAMho+AAAoTsMHKQ0fAEBNGj5IafgAAAAyGj4AAChOwwcpDR8AQE0aPkhp+AAAADIaPgAAKE7DBykNHwBATRo+SGn4AAAAMho+AAAoTsMHKQ0fAEBNGj5IafgAAAAyGj4AAChOwwcpDR8AQE0aPkhp+AAAADIaPgAAKE7DBykNHwBATRo+SGn4AAAAMho+AAAoTsMHKQ0fAEBNGj5IafgAAAAyGj4AAChOwwcpDR8AQE0aPkhp+AAAADIaPgAAKE7DBykNHwBATRo+SGn4AAAAMho+AAAoTsMHKQ0fAF364IMPftyVBx54IEZAmWj4IKXhA6A7zz33XNw55M2aNStGAEAb0fABAEBxGj5IafgA6NLcuXPjqpB35ZVXxggoEw0fpDR8AHRn2rRpcVXImz59eowAgDai4QMAgOI0fJDS8AHQJQ0fpDR8kNLwAdAdDR8ApaLhAwCA4jR8kNLwAdAlDR+kNHyQ0vAB0B0NHwClouEDAIDiNHyQ0vAB0CUNH6Q0fJDS8AHQHQ0fAKWi4QMAgOI0fJB65ZVXXqry1ltvxWEAykrDBykNH6Sya0TcOeTNmTMnRgBQVho+AEpFwwcAAMVp+AAAatLwQUrDBwBQDw0fAKWi4QMAgOI0fAAANWn4IKXhAwCoh4YPgFLR8AEAQHEaPgCAmjR8kNLwAQDUQ8MHQKlo+AAAoDgNHwBATRo+SGn4AADqoeEDoFQ0fAAAUJyGDwCgJg0fpDR8AAD10PABUCoaPgAAKE7DBwBQk4YPUho+AIB6aPgAKBUNHwAAFKfhAwCoScMHKQ0fAEA9NHwAlIqGDwAAitPwAQDUpOGDlIYPAKAeGj4ASkXDBwAAxWn4AABq0vBBSsMHAFAPDR8ApaLhAwCA4jR8AAA1afggpeEDAKiHhg+AUtHwAQBAcRo+AICaNHyQ0vABANRDwwdAqWj4AACgOA0fAEBNGj5IafgAAOqh4QOgVDR8AABQnIYPAKAmDR+kNHwAAPXQ8AFQKho+AAAoTsMHAFCThg9SGj4AgHpo+AAoFQ0fAAAUp+EDAKhJwwcpDR8AQD00fACUioYPAACK0/ABANSk4YOUhg8AoB4aPgBKRcMHAADFafgAAGrS8EFKwwcAUA8NHwClouEDAIDiNHwAADVp+CCl4QMAqIeGD4BS0fABAEBxGj4AgJo0fJDS8AEA1EPDB0CpaPgAAOiVqZ3ihyZ75JFH3nnnnfihobJfwttvvx0/9ISGDwCgJg0fpDR8AAD10PABUCoaPgAAijvllFMGdRozZkw81DR77rlndqKPf/zju+222+TJk99666040Au//OUvDzjggNVWWy2b+bTTTotHe0LDBwBQk4YPUho+AIB6aPgAKBUNHwAARbz77rvf/OY3O/u9/2fUqFFxoGlWXnnlOFmnxRdf/Otf//oll1zywQcfxIi6XXXVVbvtttuyyy4bc3W677774nBPaPgAAGrS8NFnKl8TXhEPDTwaPgCAemj4ACgVDR8AAD324IMPjho1Ktq3Tn3Q8MWZqvzbv/3bl770pX333fe44447++yzr7322gceeOCvf/1r9pTsv7P/nz2SPZ4dzcZkIz/84Q/HMxObbLJJ5Sw9peEDymyAFxKZ999//5lnnsle5LPPPhsPAf1Bw0dFH1w4zj///Mqf8FddddV4aODR8AGk+uDqUL/XX3/9L3/5y7Rp0+66667HHnvs+eefz/4YE8eAPqfhA6BUNHwAAPTA1KlT99lnn8qnYql+bPh6b9iwYTNmzIjT9JCGD1JHHnnkvlUmT54ch2kvfbmdev3uv//+Y489du+9984uTKuuumrlFVYstthiw4cP32mnnSZMmHC9SgL6loaPTN9cOLKrQOUsmUMPPTQeHWA0fJCaPXt23Dnk3X333TGCtjZAbiumTp06fvz4yiuptuyyy37mM5/JbjF++ctfxhOAPqHhA6BUNHwAANT2xhtvXH/99TvvvHP85WWV1m34ehPwZTR8kBo7dmz8Y5A488wz4zDtou+3U6/H//f//X9dVubdyX5zKvmgz2j4Sq4vLxy77rprnGaekSNHjh8//sc//nG27Gd/8v/73/8eQ/uPhg9SL7zwQlwV8u64444YQZsaCLcVL730UkdHR3aliBdRhxVWWOG//uu/Hn300ZgCaCYNHwClouEDAKBrb7zxxs033/xf//VfW2+99WKLLRZ/VdmNFm34vva1r/Um4Mto+CCl4SuDftlOfeGyq9WYMWPi1cyz8sorZ9evAw88cNKkSTfddNOVV1556qmnHnLIIdnKHyM6Zb9FZ82aFRMBTfPBBx/s1xUpbRn08YVjww03jNP0h+xaE69joTR8kNLwlVO/31bMmTPnRz/60WqrrRan77yD2GmnnQ4++OCTTjpp8uTJt9xyS3oTMXjw4Bg3Tzb4+eefj+mA5njyySfjziFv5syZMYIy6dx6faDsvV7x+uuvP/744w8//PBf//pXe68DvafhAwDg//nud7+7//77f/3rX998880//elPL7300vFXkvXpg79pjTM1zve///2Yuhc0fJDS8LW3qf23nXp3nn322Z122ilexzxbbLHFwre4euihh9J9sr7yla/EAQAaqu8vHB988MEyyywTp+kPv/jFL+KlLJSGD1IavrIZCLcVV1111XrrrRcnHjRo0003ze5bX3vttTjclZkzZx5//PGf+tSn4jmdVl999d/97ncxAoBmGiB7r99zzz0TJ07cY489Nt988yFDhlReUsWHPvShVVZZZZNNNvnud7/7xBNPxBMAekLDBwDA/zMq/28/V1tvvfWOO+64++67L37Oa62Gb7PNNrv99ttj3t7R8EFKw9eWBsJ26l269dZbP/3pT8eL6LTaaqudccYZcbiWhx56aNiwYZUnHnPMMfEoAL3WjxeOxx9/PM7RT7KLS7yUhdLwQUrDVxID57biqquuilN21ntXX311HKjDm2++efbZZy+xxBLx/E51BtwAFDMQ9l7PXHfddaNHj44XUcsiiywybty4gfatgcDAp+EDAOD/yW594/4yb5111vnud7/74IMPxrhuWro+uHOOM/XO4osvfsQRR2S3/TFpr2n4IKXhaxsDbTv1atnvqzj9PGPGjPnb3/4Wh+szY8aM+Rnfz372s3gUgJ4bIBeOyy+/PM7RH8aPHx+voxYNH6Q0fG1sAN5WpAHff/7nf76Zrcg9l/3mXGONNWKWTh0dHXEMgIbq973XM+eff/7nP//5OP08w4YNGzNmTLb+Z1eWq6++Ovs/G2ywQRxLjB49+tVXX42JAGrR8AEA8P9kt7677777t7/97dNOO+2yyy6bOnXq73//+y7/KjPuPvP64M45zlTUiBEjTj755GeeeSamaxANH6Q0fC1q4G+nvoBDDjkkzj1PgY1UXnjhhUceeeRnP/tZJeNbY4014gAAtQzYC8f3v//9OEefW3vttWfNmhWvoxYNH6Q0fG1j4N9WpAHfaaedFo8W8tRTT22xxRYxV6f0X38FoPcGwt7rr7/++r777hsnnmfjjTeeMmVKjMi7/fbbJ0yY8KEPfSiGdtpss81srQvUScMHAEDPxK1nXl82fNlt8IgRI+KHOowdO7Z531qv4YOUhq9FZWt4rJjd6Pft1FPbbrttnHiengZ806dP33rrrePJibvvvjtGALBQA/bCUf0BW5/59a9/HS+iDho+SGn42sYAv624/vrr40yDBh122GHxaC/MmTNnhx12iBkHDRo6dGhPvxccgGoDZ+/1e++9d9NNN42zznPUUUfF4e79z//8zzLLLBNP6LTqqqvaVxeoh4YPAICeifvOvD64c44zDRo0/3b30UcfnTRp0tFHH33AAQfsvvvu22+//Ze//OXx48efeOKJF1988W9/+9s///nPlZHNo+GDlIavRXX3YdvA2U59vtNOOy3OOk9PA75bbrllySWXjCfn2QALoE4D9sLxuc99Ls7RtyZOnBivoD4aPkhp+NrGAL+tyH5TVU609tprNyq2mzp1amXOitGjR8cBAHpiAO69fuGFFy611FJxynniWB3uvPPOVVZZJZ7WaZFFFrnmmmviMEA3NHwAAPRM3HTm9cGdc5wpafgGAg0fpDR8LSpbwwf4duoVDz30UJxynjXXXPOll16Kw/U59dRT48lVxo8fH4MAWKgBe+FYaaWV4hx96Itf/OI///nPeAX10fBBSsPXNgbybUX6JXwXX3xxPNoIBx10UMzb6bbbbosDAHRj4O+93tHRESdL9PRTiWnTpi1wezJixIjXXnstDgN0RcMHAEDPxB1nXh/cOceZNHwwgGn42l4sxHl9cAnIvPnmm9V/q3veeefF4bplv0vjyVWy364xCIAGiRU2r0kXjvfeey9O0Bl5n3XWWdmNw3wPPvjgE0888eyzz7766qvZyHhOUYccckjlREssscR9990Xj9ZNwwcpDV8JVZbQBTT1tiL7HVU5y6c//el4qEH++Mc/Lr/88pXJM3vttVccAKAb2YIfi2Y3+nfv9S4DvmJbN1TvJjFhwoQ4BtAVDR8AAD0Tt5t5fRBwxJk0fDCAafjaXizEeX1wCcjsu+++cb55tttuuzjWE1/5ylfi+VV22GGHGARAg8QKm9ekC8cjjzwSJxg06NZbb41Hm+Dyyy+P0wwadMYZZ8SjPaHhg5SGr4RiDc1r3m1F+iV83/jGN+LRxtltt91i9k7prsEAVMsW/Fgx8wbC3utXXnllnCZR+Ixz587daKONYpZ57KgLLISGDwCAnol7zbym3jlXxJk0fDCAafjaXizEeX1wCTj55JPjZIkpU6bE4Z7I1u14fpUDDzwwBgHQILHC5jXpwnHxxRdX5t95553joSZ49tlnV1555cqJCn/ZkoYPUhq+Eqqsogto3m3FYYcdFucYNGjSpEnxaOMs8I1NkydPjgMAdCVb8Afm3utz587dZJNN4jSJK6+8Mkb03KWXXhqzzGNHXWAhNHwAAPRM3Gvm9UHAEWfS8MEApuFre7EQ5zX7EpB+bcZ8hbOJyy67LKaoUmxjFAAWIlbYvCZdOCZOnFiZ//vf/3481ATzv2xpzTXXfPbZZ+PRHtLwQUrDV0KVhXQBzbut2H777eMcgwZdd9118Wjj/PKXv4zZOx133HFxAIDeiYU1r3nXix/+8IdxjsSnP/3pf/zjHzGikG233TbmmufEE0+MYwB5Gj4AAHombjTzNHwpDR+lpeFre7EQ5zX7EvD1r389zpS44oor4nDPTZo0KWZJ7LPPPnEYgMaJRTavSReO7E8dlfmbd7+Q/ammcorMr371q3i05zR8kNLwlVCspHnNu61Ya6214hyDBh1zzDHxaOM89dRTMXun3XffPQ4A0DuxsOY16Xrxpz/9aciQIXGOxHe+850YUdQRRxwRc82zzjrrvPfee3EYIKHhAwCgZ+JGM0/Dl9LwUVoavrYXC3FeUy8Bt912W5wmMXTo0Dhc1GWXXfbNb37zU5/6VDbbyJEjzz333DgAQENV1u0FNOnCseaaa1bmj58b7eGHH1588cUrp+hlAqLhg5SGr4Qqa+kCmnR1mDt37oc+9KE4x6BBW2yxRRxonDlz5sTsnXbYYYc4AEDvxMKa16TrxcEHHxwnyPvd734XI4qaPHlyzJW44IIL4jBAQsMHAEDPxF1mnoYvpeGjtDR8bS8W4rymXgLmb1mYGj9+fBwGYGCLhTuvSReOSqKx5ZZbxs+NNn8PrOz1z507Nx4tRMMHKQ1fCVWW0wU06erw+9//Pk4wz9133x3HGuQPf/hDTN3p5JNPjgMA9E4srHnNuF7Mnj37Yx/7WJwg77XXXotBRT3xxBMxV6Kpf5kGtC4NHwAAPRN3mXl9cM8ZZ9LwwQCm4Wt7sRDnNe8S8Nvf/jbOkdfwT90AaJJYuPOaceF49913K5NPnDgxHmqojo6OyvyLLbZY7y9DGj5IafhKqLKiLqBJtxX33ntvnGCenXfeOY41yJQpU2LqTrfcckscAKB3YmHNa8b14uyzz47Z89Zaa60Y0Tvzv887dcMNN8RhgHk0fAAA9EzcYuZp+FIaPkpLw9f2YiHOa94l4D//8z/jHIlG/f0pAH0g1u68Zlw4HnzwwcrkF198cTzUOL/5zW8qk2cmTZoUj/aChg9SGr4SiiU1r0m3FdlvsDhB4tJLL43DjXDhhRfGvJ1efPHFOABA78TCmteM68WXv/zlmD3v61//eozonREjRsSMiV133TUOA8yj4QMAoGfiFjNPw5fS8FFaGr62FwtxXpMuAQ888ECcIG/vvfeOEQAMeLF25zXjwvHzn/+8MvlDDz0UDzXI66+/vv7661cm33333ePR3tHwQUrDV0KVRXUBzfubpUUXXTTOMc8666zzyCOPxOFem/9drZnhw4fHowD0WqyteQ2/XsyePTumrpKt8DGod77xjW/EjHkPPvhgjADopOEDAKBn4v4yT8OX0vBRWhq+thcLcV6TLgETJkyIE+R9//vfjxEADHixduc148KR3SNUvPPOO/FQgxxyyCGVl7366qs/88wz8WjvaPggpeErocq6uoDm/c3S2muvHedIDB069Pbbb48RvfD0008vt9xyMemgQd/73vfiAAC9FmtrXsOvF2eddVZMXeXUU0+NQb1z/PHHx4x5P/nJT2IEQCcNHwAAPRP3l3kavpSGj9LS8LW9WIjzmnQJ2GCDDeIEeb/61a9iBAADXqzdeX1w79Aol1xySbzoQYOuvPLKeLTXNHyQ0vCVUCysec27Ouy+++5xjryPfvSjvb+5OPLII2O6QYPWWGONV155JQ4A0GuxvOY1/Hpx2GGHxdRVzj777BjUOxdffHHMmPfNb34zRgB00vABANAzcX+ZN0AavhdffPHxxx+/5ZZbLrroopNOOukXv/jFI4880vCv4khp+CCl4Wt7sRDnNeMS8Ic//CFmrzJ9+vQYBMCAF2t3Xqs0fH/84x9XXnnlymv+9re/HY82goYPUhq+EqosrQto3tVhypQpcY6ufPOb38wW/BjaQ4899tjgwYNjokGDTj/99DgAQCPE8prX8OvFrrvuGlNXueiii2JQ70ydOjVmzBs5cmSMAOik4QMAoGfi/jKvfxu+F1988dRTTx0+fHiMqJId2m233To6Op5//vl4ToNo+CCl4Wt7sarmNeMS8NOf/jRmr/L+++/HIAAGvFi781ql4Zv/Yd5WW2313nvvxaONoOGDlIavhCqr6wKaenVYc8014zRdWWGFFf77v/87hvZEmn2MGDGisRcLAGKFzWv49SKbMKau0qi9ILpr+P7t3/7tzezeAGAeDR8AAD0T95d5ffA5XJwp3/A9/vjjRx111JAhQ+LYPMsss0z2kpZeeun4eZ6hQ4c2tuTT8EFKw9f2YjHNa8YloLvtrlZbbbUY0b2XXnopu1LMnj07fgag/8TyndcH9w69N2nSpMqrHTx48F133RWPNoiGD1IavhKqLLALaOrV4fjjj4/TdG+bbbbp0YI/bty4eGanq666Kg4A0CCxwuY1/HqxzjrrxNRVbr755hjUO901fJnqLywAykzDBwBAz8TNZV4ffA4XZ0pua7/3ve/FQ5122mmnjo6OX//61+keKE888cSll1662267xaBODSz5NHyQ0vC1vVhG85pxCVhxxRVj9rxtttkmRuTNmDHjmGOO2XHHHVddddUYOmjQJz/5yW233fbwww8/66yzbrvtthgKQB+KFTlv4Dd899577+KLL155tT/60Y/i0cbR8EFKw1dClQV2AU29Ojz66KMf+9jH4kwLld0+xHMW6rDDDosndBLwATRDLLJ5Db9eLLPMMjF1lUYFdgtp+E477bQYBJCte/G/AABQn7i5zOvjhu/BBx/80pe+FD8PGjR+/PiHHnooxnXjW9/6VoyeZ9iwYTNmzIjDRWn4IKXha3uxgOY1/BIwbdq0mLrKmDFjYtA8b7zxRkdHRz0fyH35y1++8sor42lAn5vdlXfeeScO06ZiCc4b+A3fF7/4xcpL/cIXvhAPNZSGD1IavhKqrLELaPbV4Yc//GGcqZbVV1994U3eAt/qJ+CD5nn//ffjziEvezxG0NZinc1r+PVikUUWiamr9EHDt/vuu8cggGzdi/8FAID6xM1lXl82fJMmTZr/rRj11HvzXXTRRZVnzdf7jE/DBykNX9uL1TOv4ZeA//7v/46pq2TLfgzqdPXVV2creeXQNtts881vfvOEE07IVvupU6dmF4vsN+SIESMqR+fbaqutJk+eHM8H+srcuXPjqpCnrG17sfjmDfCGL/227xtuuCEebSgNH6Q0fCUUi2xeH1wdtt122zhZHXbcccfXXnstnjnPX//619GjR8eITgI+aKpp06bFVSFv+vTpMYK2FkttXsOvFyuttFJMXeXGG2+MQb2zkIZvzTXXjEEA2boX/wsAAPWJm8u8vmz45rv44ovjWN1OP/30ePI8vcz4NHyQ0vC1vVg68xp+CTj66KNj6irf+c53YtC//nXbbbctuuii2YOrrbbaeeedF49Wuf322zfffPPK0+fbcMMNe/9VrED9NHylFctu3kBu+O65557538OR/cEmHm00DR+kNHwlVFlmF9A3V4c4WX0+9KEPnXHGGfHMf/0r+3PLkCFD4tigQVtsscV1110Xx4Dm0PCVXCy4eQ2/XmywwQYxdZVf/vKXMah3FtLwZbL75RgHlJ6GDwCAnok7y7y+b/h+9KMfxYEeyl5qTDFPbzI+DR+kNHxtL9bNvIZfAsaPHx9TV5m/wN57772Vz88OPfTQv/71r5UHF+K0006rzDBfQ3ZUB+qk4SutWHPz+qbSKGb77bevvMgll1yyeZ8Na/ggpeErocpKu4A+uzqMGTMmTlmfjTba6Mknn8zuO+LnQYOWW265U045JaYDmknDV3Kx7OY1/Hqx3XbbxdRVLrroohjUO//zP/8TM3al+mtfgdLS8AEA0DNxZ5nXB3/TGmfqlH4PU0898sgjMUti2LBhzz33XIzoCQ0fpDR8bS8WzbyGXwJ23XXXmLrKueeemw2YPn36pz/96ezHgw46qPKUerz22muVSeaT8UGf0fCVViy4eQO24Uu/tLujoyMebQINH6Q0fCUUS21eX14djjvuuDhrz40bN+7ZZ5+NiYAm0/CVXKy8eQ2/Xuyzzz4xdZWzzz47BvXOJZdcEjN2xWUFmE/DBwBAz8SdZV5fNnz77bdfPFRUR0dHzJU46qij4nBPaPggdcEFF5xR5fbbb4/DtL5YMfMafgn4yle+ElNXueqqq7IBlb9dzdbbyvj6XXPNNZV55pPxQd/Q8JVWrLZ5A7Phe+655z75yU/GSxw06L777osDTaDhg9Qbb7wRdw55Tz75ZIyg7cRSm9fHV4frr79+vfXWi3PXJ3uFU6dOjecDfULDV3Kx/uY1/Hpx1FFHxdRVTjvttBjUO+ecc07M2BV/MQXMp+EDAKBn4s4yrw/+pnXs2LHZiY455pj4uRemTJlSedmpRRZZ5OGHH44RddPwAaUSK2Zewy8Bm2++eUxd5bbbbrvxxhuz/7PuuusW+9eUJ0yYUJlqPhkf9AENX2nFUpvXx5VGndLvZNpkk03i0ebQ8AElF6ttXt9fHWbPnj1u3Lg4fd2OOeaYt956K6YAmkzDV3Kx8uY1/HpR/S98zve9730vBvXOD3/4w5ixK/fee2+MA0pPwwcAQM/EnWXewPwcbiGGDBkSLz2xzz77xOG6afiAUonlMq/hl4DPfvazMXWVqVOnfulLX8r+T+F/E/q1114bMWJEZbb5dtlllzgMNIeGr7Rinc0bgPcOTz/99LLLLhuvr8kb6WY0fEDJxWqb119Xh7POOmvppZeOF1Gf4cOHV74gHGg2DV/JxbKb14zrxZJLLhmz5+27774xoneOPPLImLErt956a4wDSk/DBwBAz8SdZV7LNXy77bZbvPS8m2++OUbUR8MHlEqslXkNvwSsvPLKMXWVX/ziF9l/L7300s8991yM7rmJEydWZkudf/75cRhoAg1facUimzcA7x2OPvroeHGdmrqRbkbDB5RcrLZ5/Xh1mDp1anb2eB1123fffWfPnh1TAM2h4Su5WHDzmnG9OPjgg2P2vM022yxG9M6WW24ZM3bl6quvjnFA6Wn4AADombizzBuAn8Mt3Omnnx4vPW/vvfeOEfXR8AGlEmtlXsMvAUsttVRMXWX48OHZfx9wwAExtJCpU6dWZkt96lOf6k0XCCychq+0YpHNG2j3DjNnzky/eKPZG+lmNHxAycWCm9cvV4dXX331iCOOiFfQcxtssEF2cxFzAU2g4Su5WG3zmnG9uOmmm2L2vGWWWSZG9MKcOXMGDx4cM3bl5z//eQwFSk/DBwBAz8SdZV7LNXxXXXVVvPS8IUOGxIj6aPiAUom1Mq/hl4CYt3t33HFHDC1qhRVWiLkSBx54YBwGGk3DV1qxwuYNtHuHCRMmxCvr1OyNdDMaPqDkYsHN6/urwy9+8YvVV189Tj9o0Oabb549uPfee8fP9Rk8ePBZZ51VmRBoOA1fycVSm9ek68Uaa6wRJ8h78cUXY0RRd911V8zVjTPPPDOGAqWn4QMAoGfizjKv5Rq+e+65J156lZtuuikG1UHDB5RKLJR5Db8EpF+GVG3NNdeMcb2QrdUxXV6PLgFA/TR8pRXLa96AuneYNm3aAt+K0QfXAg0fUHKx4Ob15dXhoYceGjNmTJy401FHHRXH/vWvW2+99ZOf/GQcqM/+++8fTwYaSsNXcrHI5jXpenHyySfHCfJ6/32rP/rRj2Kubpx00kkxFCg9DR8AAD0Td5Z5LdfwPffcc/HSqxx66KExqA4aPqBUYqHMa/glYOjQoTF1V3bfffcY1wvf+ta3Yrq8gw46KEYADaXhK61YXvMG1L1DtvLHy+q0+OKLv/XWW3GsaTR8QMnFmpvXZ1eHjo6OeurtY445Jg7Xp+X+Zgxagoav5GKFzWvSevv+++9vuOGGcY5EdjmIEUVtsskmMVc3Tj755BgKlJ6GDwCAnok7y7xW/JvKeOlV1lhjjRhRBw0fUCqxUOY1/BKw5pprxtRdmTRpUozrhRNOOCGmy1tllVViBNBQGr7SiuU1b+DcOzz00EP/63/9r3hZnb7whS/EsWbS8AElF2tuXt9cHRYo8xb+V0D33HPP+uuvH0Pr8K1vfSueCTSIhq/kYnnNa9714vLLL49zJIYPHx6HC7nkkkuySdZee+3KbF06++yzYzRQeho+AAB6Ju4s81qx4VtiiSXi1Vd59dVXY1AtGj6gVGKVzGv4JWDkyJExdVceffTRGNcLF154YUxX5eabb45BQONo+Eor1ta8gXPvcOyxx8ZrmmfixIlxrJk0fEDJxZqb1wdXh0MOOSRO1mnjjTeOAwv1gx/8IJ5Qh3POOSeeBjSChq/kYm3Na+r1YvTo0XGaxH333ReHe27rrbfOZrj44osrU3Xp0ksvjdFA6Wn4AADombizzGvFhm+FFVaIV1/lwQcfjEG1aPiAUolVMq/hl4Bswpi6yuDBg2NQ79xyyy0xY5X9998/BgGNo+ErrVhb8wbOvcNnPvOZeE3z3HbbbXGsmTR8QMnFmpvX7KvDuHHj4kyd1lprrThQh/vvv3/77bePZy7UEksscffdd8fTgF7T8JVcrK15Tb1e3HPPPXGaxHbbbReHe+jaa6/Nnr7BBhtk/78yVZduuOGGyngADR8AAD0Td5Z5A+dzuPqtscYa8eqrXHHFFTGoFg0fUCqxSuY1/BKQLaQxdZXVVlstBvXOvffeGzNWWW655WIQ0DgavtKKtTVvgNw7XHfddfGC5vm3f/u3Dz74IA43k4YPKLlYdvOaenXYY4894jSdhgwZMmvWrDhWt9NOO+0jH/lITNG9zTff/K233ornAL2j4Su5WFjzmn03cdVVV8WZEscee2wcrtvf/va3DTfcMHtu5Wv2KvN06a677qo8BUDDBwBAz8SdZV4rNnzrr79+vPoqJ554YgyqRcMHlEqsknkNvwTsvvvuMXWVLbfcMgb1zuOPPx4zdqX+HdWBOmn4SisW1rwBcu+w7777xguap89emIYPKLlYdvOatwhPnDgxztFp0UUXLfxVeQ8//PCOO+4YE3XvpJNOiicAvaPhK7lYVfP64A/tXWZ8r732WhyuT+V6seGGG2b//4033qhM0qXs93nlKQAaPgAAeibuLPOad+f8zDPPdHR0ZPN//etfP/TQQydPnhwHem2rrbaKV19l3LhxMagWDR9QKrFK5jX8EjB+/PiYusquu+4ag3rnqaeeihm78sQTT8Q4oEE0fKUVC2teH3zqVtOLL764zDLLxAuap1FXmZo0fEDJxbKb16Srw8MPPzx48OA4R6ef/exncayoM888c+WVV47pujJs2LAYCvSOhq/kYlXN65u7ieqMb8SIEXGsDocddlj2lOxi8dBDD2U/Pvfcc5VJuvSXv/yl8iwADR8AAD0Td5Z5TbpzPvnkk+MEiY6OjjjcO5tuumnMWKX+X46GDyiVWCXzGn4J+Pa3vx1TVznyyCNjUO88//zzMWNXpk6dGuOABtHwlVYsrHl986nbwv30pz+NV5M47LDD4nCTafiAkotlN69JV4e99torTtBp6623jgO9M3PmzIX8q6GZX//61zEU6AUNX8nFkprXZ3cTXX4b32WXXRaHu3H77bfvtNNO2cilllpq/t8vzZgxo/L0Lr3++uuVYQAaPgAAeibuLPOaced80UUXxexVGlJXrLvuujFdlQMOOCAG1aLhA0olVsm8hl8COjo6Yuoq3/3ud2NQ77z++usxY1euuOKKGAc0iIavtGJhzRsIDd92220XryZx4oknxuEm0/ABJRfLbl4zrg7XXXddzD5P9kgc67U333xz9OjRMW+V7bffPsYBvaDhK7lYUvP68m7i+uuvrwR5qa985Ss/+clPpk6dml0IYty//jVr1qy77rpr3333jUGDBmXPjWP/+tc999wTj3YlBgFk6178LwAA1CfuLPOacec8fPjwmL3Kmmuu+fe//z3GFbX66qvHdFVOP/30GFSLhg8olVgl8xp+Cbj55ptj6ioTJkyIQb3z/vvvx4xd+fGPfxzjgAbR8JVWLKx5/d7wPfroo/FS8i644IIY0WQaPqDkYtnNa8bVIZszZu+0++67x4HGOfjgg2P2KnPmzIlBQFEavpKL9TSv7+8mbr/99j333DNOn7fmmmsOHz58qaWWip877bPPPvfff388udNvfvObOFZlm222iUEA2boX/wsAAPWJm8u8ht85v/322zF1N5588skYWtQKK6wQc1VJ/yW5hdPwAaUSq2Rewy8BL730UkxdZfz48TGodxbe8PXZ9zBBeWj4SisW1ry+/9RtAd194esNN9wQI5pMwweUXCy7eQ2/Olx//fUx9Tz33XdfHGuoww47LE6Q9/TTT8cIoCgNX8nFeprXX3cT99577/7777/WWmvF6+jKTjvtNGXKlHhCostteSt8lACkNHwAAPRM3FzmNfzO+YEHHoipu/H444/H0KKWXHLJmKvKjBkzYlAtGj6gVGKVzGvGX56uvfbaMXveXnvtFSN6Z+F76fbZ9zBBeWj4SisW1rx+b/h22GGHeCl5Dz74YIxoMg0fUHKx7OY1/Orw4x//OKbutNpqq8WBRps9e/Y666wTp0ncddddMQIoSsNXcrGe5vX73cTrr79+//33/+IXvzjuuONGjx79jW9844QTTrj22mv/9Kc/xYgq559/frz6Kvfcc08MAsjWvfhfAACoT9xc5jX8zvnZZ5+NqbsyZMiQGNcLH/rQh2K6vI985CP1b9Sr4QNKJRbKvGb85enYsWNj9rydd945RvTO888/HzN2pc++hwnKQ8NXWrGw5vX7p25Dhw6Nl5KX3YPEiCbT8AElF8tuXsOvDocffnhM3ampmxVeeumlcZrEFVdcEYeBojR8JRfraV6/300UcPrpp8erz1tmmWViBEAnDR8AAD0T95d5zbhzzu5gY/Yqu+22WwwqaiGN4LBhw2JQHTR8QKnEQpnXjEvAGWecEbPnffnLX44RvfPUU0/FjF3ps+9hgvLQ8JVWLKx5/fup22OPPRavo8p7770Xg5pMwweUXCy7eQ2/OmR/0oipO40fPz4ONEf1v4b0ox/9KI4BRWn4Si7W07xWbPg6Ojri1eeNGTMmRgB00vABANAzcX+Z14w752zOmD1v6NCh1/f6061bb701pqsybty4GFQHDR9QKrFQ5jXjEvDb3/42Zs/beOONY0TvPP744zFjV/rse5igPDR8pRULa17/fuo2efLkeB15H/nIR2JE82n4gJKLlTev4VeHYcOGxdSdml3UVV9fzjnnnDgGFKXhK7lYT/P6926imOw3bbz6vNNPPz1GAHTS8AEA0DNxf5nXjDvnQw45JGZPfOUrX3nqqadiRC+ceeaZMWOVu+66KwbVQcMHlEoslHnNuAS88cYbiy66aJwgsfTSS8eI3rn33ntjxq702fcwQXlo+EorFta8/v3U7aCDDorXkbfEEkvEiObT8AElFytvXsOvDosttlhM3enGG2+MA83x0EMPxZnm+d3vfhfHgKI0fCUX62leKzZ8Q4cOjVefd88998QIgE4aPgAAeibuL/Oacec8P7ObMmXKuZ0eeuihONZrXQaCmZ133jlG1EfDB5RKrJV5TfrL08033zxOkPe3v/0tRvTCLbfcEtNV2XLLLWMQ0DgavtKKtTWvfz91W2+99eJ15C277LIxovk0fEDJxcqb1/Crw5AhQ2LqThdffHEcaJrBgwfHyTq99NJLcQAoSsNXcrGe5rVcw/f000/HS88bPnx4jACYR8MHAEDPxC1mXjPunOdvd3vsscfGQ42z7bbbViZfwHXXXRcj6qPhg9Sdd96Z/ZO7gBkzZsRhWl+slXlN+svTSZMmxQnyfvvb38aIXrjwwgtjuirN3mMLyknDV1qxtub146dur732WryIKiuuuGIMaj4NH6TefffduHPIe/7552MEbSdW3ryGXx022mijmLrT8ccfHweaZuTIkXGyQYNWX331eBToBQ1fycWSmtdyDd/VV18dLz3v1FNPjREA82j4AADombjFzGvSnfPOO++cTf6JT3zirbfeioca4YEHHqi87AV84QtfiBF10/BBauzYsfGPQeLMM8+Mw7S+WC7zmnQJ+Nvf/rbAN2dUnH/++TGiF0444YSYrsqjjz4ag4DG0fCVVqytef34qdut8/41oWqrrbZaDGo+DR+kXnjhhbgq5N1xxx0xgrYTK29ew68Oo0ePjqk7feMb34gDTbPqqqvGyQYN2nHHHeNRoBc0fCUXS2peyzV8xx13XLz0xJAhQ1588cUYATCPhg8AgJ6Ju8y8Jt05T5kypTJ/Yxugo48+ujLtAn7+85/HiLpp+CCl4Wt7sVzmNe8vT4844og4R2LChAlxuBe+9a1vxXR56623XowAGkrDV1qxvOb146duHR0d8SKqrLPOOjGo+TR8kNLwlVCsvHkNvzoccsghMXWnESNGxIHmeOWVV+JMnY455pg4APSChq/kYknNa7mGb/vtt4+XnjjqqKPiMEBCwwcAQM/EXWbeyJEj43Cj7bnnntn866677jPPPBMP9c7bb7+d/ovR833ta1+LET2h4YOUhq/txYqZ17y/PH3wwQfjHImGfPaW/c6M6fIaEggC1f75z3/e1pWnn346RtCmYnnN68dP3bqswyua3XakNHyQ0vCVUKy8eQ2/Opx99tkxdafFF1+8qRs033nnnXGmTvfff38cAHrh1VdfjTuHvOzxGEFbiyU1rw/uJn73u9/9+Mc/btRGDZ/85CfjpScef/zxOAyQ0PABANAzcZeZt/jii8fhRrv77rsrp/jSl74UD/XOD37wg8qEqfXXX//NN9+MET2h4YOUhq/txaKZ19S/PF1gA6yK3lfdK664YsyVWGaZZZ544okYAUAjxAqb148N33777Rcvosomm2wSg5pPwwcpDV8Jxcqb1/Crw5tvvvmpT30qZu/U0dERx5rgrLPOitMMGrT33nvHowD0QqyqeU29mzj88MNXX331ONOgQSuvvPJpp50Wxwq54IILYq6EywTQHQ0fAAA9MHv27LjRrPLII4/EoEbbf//9K6cYO3ZsPFTUVVddVZkq9YlPfOKvf/1rjOghDR+kNHxtL9bNvKb+5enVV18dp0lMnjw5Dhdy3333xUR5J554YowAoEFihc3rx4Zvl112iRdR5XOf+1wMaj4NH6Q0fCUUK29eM64Oxx9/fMzeaejQoc37Kr4tttgiTjNo0NSpU+NRAHohVtW85t1NnHrqqXGOvJtuuilG9Nzmm28esyRuueWWOAyQp+EDAKAHOjo64kazyre+9a0Y1GivvPLKZz/72cpZevPvTM+YMWPIkCGVeVIzZ86MET2n4YOUhq/txbqZ17zt1Cs22mijONM8vfxm1i6vZRtuuOF7770XIwBokFhk85p94ViIbbfdNl5Elb4sCzV8kNLwlVCsvHnNuDrMnDlz8ODBcYJOTfoqvkMPPTROMGjQ6NGj41EAeicW1rwm/bn9+eefjxNUWWONNebMmRPjeuKyyy6LKRLjxo2LwwBVNHwAANT21FNPXXjhhdntcdxodmP8+PEPPfRQPKeh0u9Myl5GsX+hebPNNospEg8++GAcLkTDBykNX9uLpTOvedupV1xzzTVxpsQ555wTh3vo+eefHz58eMySuOKKK2IEAI0Ti2xesy8cC7HJJpvEi6ii4YP+ouEroVh585p0dTjmmGPiBJ2GDh06ffr0ONYgjz76aMze6cYbb4wDAPROLKx5Tfpz+/XXXx8n6Mof//jHGNcTW2+9dTx/nnXWWce/QQoshIYPAICQ3f12abXVVotbzPost9xya6211hZbbBHPz4uT9dwll1wSJ+jUo39z+rrrrkv3NJmv98Whhg9SGr721i/bqVdMmDAhzjTP6quv/uKLL8bhnth5551jisRRRx0VhwFonH68cHRn7bXXjldQpTe3Kj2l4YOUhq9s+v7qsOOOO8YJOn3qU5+6995741gjfOITn4ipm/Y9fwDlFGtrXpP+3N7lpg3zFfhOgS7/ldTbbrstDgN0RcMHAECI+8gmi5MVssCN9LrrrnvyySf/5S9/icNdmTlz5n777RdPSIwfPz5G9I6GD1Iavva2kL/NbN526vONGDEiTjZPgfCuy1/CXnvtFYcBaKj+vXB0aejQofEKqmj4oL9o+MqmX64Oa621Vpyj0yc+8YmGVBSvvfbaOuusE5MK+AAaLZbXvGbsvZ4555xz4gRdeeutt2Jc3b72ta/Fk+c5/vjj4xhANzR8AACEuJVssjhZUTNmzFjgL16XWmqpAw888Oyzz77pppueeuqpbMy0adMuvfTS7JZ41113XW655WJc4sILL6zM1huzZs3q6Oj4zGc+s/zyyy+55JIf/vCHP/KRj3zsYx8bMmTIpptueu6557755psxFEpDw9eW+n079Yq///3vcaZEttjG4To8//zz8bTENttsM3fu3BjROM8880x2jdhvv/2y+ddcc81FF100u1hssMEGO+yww0EHHfSzn/1szpw5MRSg7QyQC0eXPvrRj8bpq/RZw/fYY48deeTElVbaa9llR330o6v/278NHjx4yNJLb/TJT47ecccjrtfxUT4avpLo96tDnGCe7Irw61//Oo4Vkv0W/chHPhLTNSjgy37tEydO3GOPPbbccstVVlklm3allVbabLPNxowZc8QRR9x0000xDqAcKgvsApq093p2UYgTVNl8881jUN2yRTuePM/nPve5OFbUNddck02bXRGy60J2dcjmzK4U2fUiu2pk146+v7cCmkHDBwBA6Khy0kknnXnmmZMnT/7Vr351yy23TK1DNiwbnD0le2L29JgoESfrhblz5x5yyCGVW98eWWyxxXbbbbfeb5iS3S3vueeeMelCjR8/3odwlIqGr3WN6sYA2U694p577onTJLKVtp5mOlv84wmJ4cOHv/DCCzGiEV5++eXsCpj9to8TdC+7JB155JF33XVXPBOg1cTKXmVAXTiqLbHEEnHiKjvttFMMao6XXnrpvPPOy35Rcb7uDR069Nhjj82uevFMaHcavnZSWb2rDZCrQ3bHGieYZ7/99ivwZ/K33377tNNOiyk69fLvu37/+99nE44cOTKm694aa6xx0kknPfnkk/FMgPbVx3uvZ0trzJ43bNiwGTNmxKD6TJo0KZ6ciGM9N23atIkTJ1bC7oXLriPZ1SS7psQzgRak4QMAoCXdddddRx55ZJ1/C/yFL3zhrLPOym7748lFzZw5c+utt45J6/blL3/5pZdeiimgrWn4WlcsWE0WJ+uFZ599tvKvGqdGjhw5ZcqUGFHl7bffPv7442NoYty4cX/+859jUCNcd911q6++esxet/333z+eD9BSYhVrsjhZ42y++eYxdZWzzz47BjXBFVdc0dN+JXPQQQfF86GtafjaSaxfTRYnKyRbkGOWxK677nrLLbfEiIW69957DzzwwHRn9lVXXfUnP/lJHC7k9NNPj7l64qSTTornA7Spjj7fe33TTTeNE3TaZJNNstfQ04Dv+uuvj+fPs84668Sxnjv33HNjlp7IrizxfKDVaPgAAGhtU6dOnThx4l577TVq1KjVV1998ODBK664Yvb/v/nNb55yyilXX31179O9iuuuu27JJZeM++AeWmmllZ544omYCNqXhq91xWrVZHGy3nn11Ve/+tWvxoyJjTfe+OCDD77qqquyAX/605+uvfbak046Kfs9uf7668eIeYYNG3b55ZfHdA1S7C9VK9Zbbz2pN9ByYglrsjhZ42T3CDF1lQceeCAGNdoxxxwT5+i53nzdFLQKDV87icWryeJkRT366KOf//znY67ENttsk10mTjzxxCuvvDIb884777z88svTpk275ZZbJk+enN1cVN9ZHHHEEX/9619j3kLGjRsXc/Vcs79BFqBf9OPe6/OrwQ022OC2226LR3vikUceGTJkSGWSitGjR8exnltIxVhTdn2JWYCWouEDAIDaTjnllLj97YXf/va3MR20KQ1f6+qoctKA3E694r333jv44INXWGGFWF7rtvTSSx9++OEND+ZOPPHEOEEv/O53v4vpAFpBrOyJgXzhmO+yyy6LZTdv6623jhGNtuOOO8Y5ilp++eVjLmhTGr52Est3YmBeHd55553TTjttiy22iKW253bYYYfe/yXPl7/85ZiuqBVXXDHmAmgpo7rR73uvZ38Cqcy8xBJL9PSLurNrVvasytMrJkyYEMd6btiwYTFLUdlVJuYCWoeGDwAAapg6dWrc+Pbayy+/HJNCO9Lw0ZdeeeWV8847r57PvT70oQ99/etfv/DCC1999dV4cuO4RgC0lkmTJsWyO8+SSy45ffr0ONxQRx99dJyjd4YNGxYzQjvS8NGPHnjggSOPPHKllVaKBbeWtdZa67vf/e6jjz4az+8F1wigzGIJa7I4WQ+lG6bvueeel1xySRzo3k033bTVVlvFc+Y59thj43DPrbjiijFL72TXmpgRaBEaPgAAWJjf//73ccvbCBtttFHMC+1Iw0e/eOCBByZPnnzsscfusssu66233mKLLbbyyitvvfXWBx544KRJk2666aa5c+fG0EZzjQBoRZdccsmee+758Y9/fIMNNjjqqKNuvvnmONBQv/rVr2J9b4SGfO8UDEwaPgaCqVOnXnTRRd/73vfGjRu37bbbrrnmmosuuuiyyy677rrrfulLX8pudbPbjQburuAaAZRcrF9NFifruc022yym6JTdOBxwwAFnn332DTfcMG3atNdff3327NnZheOss8464ogjsj+0xLh5Ro4cee6558ZcPbfTTjvFRI2QXXFiXqAVaPgAAKBbb7755qhRo+J+t0EOOeSQmB3ajoaPUnGNAKA799xzT6zsjdObDwJhINPwUTauEQCdW6PnDLS910877bRYYXuil/VeJvuFxFyNk113YnZgwNPwAQBAtw488MC4022on/3sZ3ECaC8aPkrlgAMOiGW9oS688MI4AQAta6ONNoplvaEasnsjDDQaPspmww03jGW9oaZNmxYnAKARbrrppkMPPXSNNdaIdXahel/vZZ588smYrqGy606cABjwNHwAANC11157bamlloo73YbaYost4hzQXjR8lMcTTzwxePDgWNYbaptttolzANCarrnmmljTG+2www6Lc0Ab0fBRKr/4xS9iTW+0iRMnxjkAaKgHH3ywo6Nj//3333777ddbb73llltu8cUXHzly5F577XXiiSdeffXVTzzxRAztnWZ8CV9FdvWJcwADm4YPAAC6NmnSpLjHbYIrr7wyTgNtRMNHeRx99NGxoDeBr1kCaGmjR4+OBb3RPvaxj/3pT3+K00C70PBRKl/4whdiTW+0VVZZJc4BQGuq8zv/CsiuPnEOYGDT8AEAQNdGjBgR97hNsN1228VpoI1o+CiJ5557bvnll48FvQkmTJgQZwKg1bz22muxmjfH8ccfH2eCdqHhozyuvfbaWM2b45prrokzAdBqbrrppljNmyO7BsWZgAFMwwcAAF1444034u62aV566aU4GbQLDR8l8etf/zqW8ubYYIMN4kwAtJrrrrsuVvPm2GijjeJM0C40fJTHEUccEat5c2Tzx5kAaDWuEUBGwwcAAF2YMWNG3N02zWOPPRYng3ah4aMkfvzjH8dS3hzLL798nAmAVnPWWWfFat4cn/zkJ+NM0C40fJTHmDFjYjVvjmz+OBMArcY1Asho+AAAoAu/+c1v4u62aW688cY4GbQLDR8lcfTRR8dS3jRz5syJkwHQUiZOnBhLedO88847cTJoCxo+ymOzzTaLpbw5svnjTAC0GtcIIKPhAwCALpx//vlxd9s05513XpwM2oWGj5LYc889Yylvmj/+8Y9xMgBayl577RVLedP84Q9/iJNBW9DwUR4rrbRSLOXNkc0fZwKg1bhGABkNHwAAdKGjoyPubpsmO0WcDNqFho+SGDVqVCzlTTN16tQ4GQAtxTUCekrDR3nEOt5McSYAWk2s480UZwIGMP+gAgBAFy688MK4tW2ayZMnx8mgXWj4KInst3os5U3zpz/9KU4GbeGDDz74cVceeOCBGAHtYp999omlvGmefvrpOBm0BQ0f5bHqqqvGUt4cq6yySpwJ2sVzzz0Xdw55s2bNihHQLrI1PFbz5nCNgJag4QMAgC5MmTIl7m6bJjtFnAzahYaPkuiD72r9xz/+ESeDtjB37ty4KuRdeeWVMQLaxfHHHx9LedPMmTMnTgZtQcNHeTT7u1q33HLLOBO0i2nTpsVVIW/69OkxAtpFtobHat4crhHQEjR8AADQhT/84Q9xd9s0Tz75ZJwM2oWGj5I477zzYilvjqFDh8aZoF1o+CiPZl8jVl111TgTtAsNH+XR7O9q3WOPPeJM0C40fJRHtobHat4crhHQEjR8AADQhTlz5sTdbdO8+eabcTJoFxo+SuLGG2+Mpbw5Nt100zgTtAsNH+Xxm9/8Jlbz5vD9GbQfDR/lceyxx8Zq3hwTJ06MM0G70PBRHtkaHqt5c7hGQEvQ8AEAQNd23nnnuMFtgrFjx8ZpoI1o+CiJuXPnrrvuurGgN8EZZ5wRZ4J2oeGjVD7+8Y/Hgt4EP/nJT+I00C40fJTHfffdF6t5czz22GNxJmgXGj7KI1vDYzVvjuwaFGcCBjANHwAAdK2pX7N05513xmmgjbzyyisvVXnrrbfiMLSRH/3oR7GgN0H2D06cBtqFho9S6ejoiAW90dZcc8133nknTgPtIrtGVG4cFjBnzpwYAW2keVsljho1Ks4BbUTDR6lkK3ms6Y1mI11oFRo+AADo1vDhw+M2t6FGjx4dJwCgNb366qv//u//Hst6Q+2///5xDmgjGj5KpXlfoXHSSSfFOQBoTbfeemus6Y123nnnxTmgjWj4KJVsJY81vdGyq0+cAxjYNHwAANCtJn2FxvXXXx8nAKBlNekaceONN8YJoI1o+CibnXbaKZb1xllttdVeeOGFOAEALatJ14iXfJk37UjDR6lkK3m2nsfK3ji+UABaiIYPAAAWZvvtt4+b3QY59thjY2oAWpxrBNRJw0fZPPvssyuuuGIs7g1yxRVXxOwAtDLXCKifho+yydbzWNkbZNiwYS+//HLMDgx4Gj4AAKhhueWWi1veXtt6661jUgDagmsE1EPDRwk1drfEY445JuYFoPW5RkCdNHyUULaqx/reCNk/RDEv0Ao0fAAAUMPMmTPjlrd3llxyyZgRgHbhGgH10PBRTmeeeWas8r2z4447xowAtAvXCKiHho9yytb2WOV756qrrooZgRah4QMAgNqeeeaZj370o3HvW8gGG2wQcwHQXnqf8Y0aNSrmgjal4aO0rrrqqljrizrwwANjLgDay0UXXRRrfVFHH310zAVtSsNHaWUrfKz1Rf3whz+MuYDWoeEDAIC6vPfee2PHjo074B46/PDDYxYA2tGLL7641VZbxaLfQyeddFLMAu1Lw0eZTZs2bdiwYbHo99A555wTswDQjqZOnbrIIovEot9Dv/rVr2IWaF8aPsosW+djxe+hD3/4wxdeeGHMArQUDR8AAPTAscce26Mv5FtyySWPP/74eDIA7eudd97ZZZddYvWvz6qrrjp58uR4PrQ1DR8l9/LLL48ePTpW//qsttpql1xySTwfgPb18MMPb7zxxrH612ejjTa655574vnQ1jR8lFy22mdrfqz+9cmuKVOmTInnA61GwwcAAD3zzDPP/PCHP6x587z11lv/5Cc/mTVrVjwNgBJ47LHHOjo61ltvvbgYdGP77befPHny22+/HU+Ddqfhg8wDDzxw9NFHr7rqqnEx6MrgwYN33XXXK664Ys6cOfE0AEpgypQpBx988IorrhjXg6589KMfHTt27I033hjPgRLQ8EEmW/mz9X/h3yyQXUGy64h6D1qdhg8AAAq69dZbt9pqq3//939fdtllF1lkkcGDBy+33HKf+tSndt555/vvvz8GAVBK2TXi9NNP32+//TbZZJOPfvSj2cViu+22O/LII3/2s5898MADMQhKQ8MH87399tuXX37t2muftNJKey+99IYf+tDiiy/+qSFD/mONNSZ++9uXPP300zEOgPJ58803r7nmmhNOOGHXXXf97Gc/O2jQoHXWWWf06NHHH3/8pZde+swzz8Q4KA0NH8yXXQWya0F2RciuC9nVIbtGjBgxYuzYsaeccsp1112XXUFiHNDKNHwAAFDcwQcfHH91lPjBD34QhwEA0PBB3ptv/us//qOL/1x/fQwAACCj4QOgVDR8AABQnIYPAKAmDR+kNHwAAPXQ8AFQKho+AAAoTsMHAFCThg9SGj4AgHpo+AAoFQ0fAAAUp+EDAKhJwwcpDR8AQD00fACUioYPAACK0/ABANSk4YOUhg8AoB4aPgBKRcMHAADFafgAAGrS8EFKwwcAUA8NHwClouEDAIDiNHwAADVp+CCl4QMAqIeGD4BS0fABAEBxGj4AgJo0fJDS8AEA1EPDB0CpaPgAAKA4DR8AQE0aPkhp+AAA6qHhA6BUNHwAAFCchg8AoCYNH6Q0fAAA9dDwAVAqGj4AAChOwwcAUJOGD1IaPgCAemj4ACgVDR8AABSn4QMAqEnDBykNHwBAPTR8AJSKhg8AAIrT8AEA1KThg5SGDwCgHho+AEpFwwcAAMVp+CB15JFH7ltl8uTJcRiAstLwQUrDB6nZs2fHnUPe3XffHSMAKCsNHwClouEDAIDiNHyQGjt2bPxjkDjzzDPjMABlpeGDlIYPUi+88EJcFfLuuOOOGAFAWWn4ACgVDR8AABSn4YOUhg+ALn3wwQf7deV6yRKlpOGDlIYPgO48+eSTceeQN3PmzBgBAG1EwwcAAMVp+CCl4QMAqEnDBykNHwAAQEbDBwAAxWn4IKXhAwCoScMHKQ0fAABARsMHAADFafggpeEDAKhJwwcpDR8AAEBGwwcAAMVp+CCl4QMAqEnDBykNHwAAQEbDBwAAxWn4IKXhAwCoScMHKQ0fAABARsMHAADFafggpeEDAKhpQDV8b7755tQW9Nhjj7300kvxa6DFafgAAAAyGj4AAChOwwcpDR8AQE0DquEbOXLkoJa13377xS+DVqbhAwAAyGj4AACgOA0fpDR8AAA1DZyG79xzz40arjUtv/zy8SuhlWn4AAAAMho+AAAoTsMHKQ0fAEBNA6fh22677aKGa02jRo2KXwmtTMMH/cV26gAAA4qGDwAAitPwQUrDBwBQ0wBp+H7/+99HCteVoUOHbrnllvvss88JJ5zwy1/+8ne/+90jjzwyc+bMZ5999qWXXnrnnXdilsTzzz+f/dkvnt+VM844I4Yu1JtvvvmXv/zlsccemzp16sknn7zHHnssvvjiMUXe+PHj4zm0Mg0f9BfbqQMADCgaPgAAKE7DBykNHwBATQOk4Zs0aVJ0EImVV1758MMPv/POO2NQD02YMCEmqrLHHnvEoJ67++67119//Zgocdppp8UIWpmGD/qF7dQBAAYaDR8AABSn4YOUhg8AoKYB0vBtu+220UHMc+qpp7711ltxuJARI0bEXFVuuOGGGFRI9sJ23HHHmGue6667Lg7TyjR80C9spw5AT9mEHZpNwwcAAMVp+CCl4QMAqGkgNHxPPPFERBDz3HLLLXGsqNdeey3mqrLGGmvEoF743e9+F9PN8+STT8YxWpmGD/qe7dQBKMAm7NBsGj4AAChOwwcpDR8AQE0DoeE77bTT4rOsTpdffnkc6IVrr702pqsybty4GNQ7xxxzTMw4aNCHPvShDz74IA7QyjR80Pdspw5AT9mEHfqAhg8AAIrT8EFKwwcAUNNAaPi++MUvxmdZgwZ1dHTEo72zkHrjggsuiEG98/DDD8eMgwatvfba8SgtTsMHfc926gD0lE3YoQ9o+AAAoDgNH6Q0fAAANfV7wzd9+vT4IKtxAV+my+9JqnjiiSdiUO+88cYbMeOgQV/72tfiUVqchg/6mO3UAegpm7BD39DwAQBAcRo+SGn4AABq6veG75RTTql8jvXJT34yHuq1119/vTJntc9+9rMxqBFWWWWVyrQTJkyIh2hxGj7oY7ZTB6CnbMIOfUPDBwAAxWn4IKXhAwCoqd8bvs9//vMN/xzruuuuq8xZrbHfeDFq1KjKtGeffXY8RIvT8EEfs506AD1lE3boGxo+AAAoTsMHKQ0fAEBN/dvwPfbYY5UPsYYNGxYPNcIRRxxRmbba5MmTY1AjDB8+vDLtlClT4iFanIYP+pLt1AHoKZuwQ5/R8AEAQHEaPkhp+AAAaurfhu+kk06qfIjVwHQjs8EGG1SmrTZz5swY1AgrrrhiZdpnn302HqLFafigL9lOHYCesgk79BkNHwAAFKfhg5SGDwCgpv5t+LbccsvK51gzZsyIh3ot/W6kBQwfPjwGNchiiy2WTbvccsvFz7Q+DR/0JdupA9BTNmGHPqPhAwCA4jR8kNLwAQDU1I8N3/zPscaMGRMPNcL//M//VKat9q1vfSsGNcLLL79cmXbTTTeNh2h9Gj7oM7ZTB6CnbMIOfUnDBwAAxWn4IKXhAwCoqR8bvhNOOKHyIdZVV10VDzXCkUceWZm22kUXXRSDGuGee+6pTLvXXnvFQ7Q+DR/0GdupA9BTNmGHvqThAwCA4jR8kNLwAdCd2V1555134jCUST82fJtvvvmgRn/9UmbkyJGVz8aq/eEPf4hBjTB58uTKtI2tT+hfGj7oM7ZTp+W8//77ceeQlz0eI4Amswk79CUNHwAAFKfhg5SGD4AuzZ07N64KeVdeeWWMgDLpr4bvgQceqHyC1dgA7q233qpMW23EiBExqEGOPfbYysyXXnppPETr0/BB37CdOq1o2rRpcVXImz59eowAmskm7NDHNHwAAFCchg9SGj4AuqThg1R/NXwdHR2VT7Aa+PVLmeuvv74ybbWDDjooBjXI6NGjKzPff//98RCtT8MHfcN26rQiDR/0L5uwQx/T8AEAQHEaPkhp+ADokoYPUv3V8FV2vG3s1y9ljjrqqMoHY9UuvvjiGNQgI0aMqMz8yiuvxEO0Pg0f9A3bqdOKNHzQv2zCDn1MwwcAAMVp+CCl4QOgSxo+SPVLw3fNNddUPhi75JJL4qEG2XDDDSszV/vjH/8Ygxpk6aWXzqbdY4894mfagoYP+oDt1GlRGj7oRzZhh76n4QMAgOI0fJC64IILzqhy++23x2EAykrDB6l+afjOOuusQZ1fv9TYb7B7++23Kx+MVWt4vZHJXn828w033BA/0xbeeOONuHPIe/LJJ2ME0Gu2U6dFafigH9mEHfqehg8AAIrT8AEA1KThg1S/NHzvvvvu448/3th0I3PDDTdUPhirdsghh8Sgxpk1a5ZddAEKsJ06LUrDB/3IJuzQ9zR8AABQnIYPAKAmDR+k+qXha5Kjjz668sFYNXsdAgwQtlOndWn4oL/YhB36hYYPAACK0/ABANSk4YNUOzV8G220UeWDsWpPP/10DAKgX9lOndal4YP+YhN26BcaPgAAKE7DBwBQk4YPUm3T8L3zzjuVT8WqNaPeAKAY26nTujR80F9swg79QsMHAADFafgAAGrS8EGqbRq+G2+8sfKpWLXDDjssBgHQpmynTh/Q8EG/sAk79BcNHwAAFKfhAwCoScMHqbZp+I455pjK523VLr/88hgEQJuynTp9QMMH/cIm7NBfNHwAAFCchg8AoCYNH6TapuHbeOONKx+5Vfvzn/8cgwBoR7ZTp29o+KBf2IQd+ouGDwAAitPwAQDUpOGDVHs0fO+++2584FZFvQHQ9mynTt/Q8EE7sQk71KThAwCA4jR8AAA1afgg1R4N30033RQfuFWZMGFCDAKgTdlOnb6h4YN2YhN2qEnDBwAAxWn4AABq0vBBqj0avu985zvxgVsV/2gDtD3bqdM3NHzQNmzCDvXQ8AEAQHEaPgCAmjR8kGqPhm/TTTeNz9yqPPvsszEIgHZkO3X6jIYP2oZN2KEeGj4AAChOwwcAUJOGD1Jt0PD9/e9/jw/cqqg3ANqe7dTpMxo+aBs2YYd6aPgAAKA4DR8AQE0aPki1QcP3m9/8Jj5wq6LeAGh7tlOnz2j4oG3YhB3qoeEDAIDiNHwAADVp+CDVBg3fxIkT4wO3Kr/85S9jEABtynbq9BkNH7QHm7BDnTR8AABQnIYPAKAmDR+k2qDh22yzzeIztyqzZs2KQQC0I9up05c0fNAebMIOddLwAQBAcRo+AICaNHyQavWGb86cOfGBW5V+rDc6Ojq+8pWvZK9hzJgxU6dOjUcBaDTbqdOXNHzQHmzCDnXS8AEAQHEaPgCAmjR8kGr1hu+WW26JD9yq9Fe90dHREa+g06hRo+IAAI1mO3X6koYP2oNN2KFOGj4AAChOwwcAUJOGD1Kt3vAde+yx8YFblauvvjoG9aFHH300Tp9o9a/ie+qppzo6Oh566KH4GWDAsJ06fUnDB23AJuxQPw0fAAAUp+EDAKhJwwepVm/4Nt988/jMrcrzzz8fg/rQpEmT4vTzDB8+PI61prFjx8avpPVjRKDN2E6dPqbhgzZgE3aon4YPAACK0/ABANSk4YNUSzd87733XnzgVqW/6o0FNtLNZI/EsRY0ZcqU+GV0aulfC9B+bKdOH9PwQRuwCTvUT8MHAADFafgAAGrS8EGqpRu+W2+9NT5wq9KP36Kx0UYbxYto/eht3Lhx8Svp5AulgAHFdup9wHbqKQ0ftAGbsEP9NHwAAFCchg8AoCYNH6RauuH77ne/Gx+4VbnmmmtiUJ977bXXsrNPmjTp0UcfjYda1rBhw+IN7TRnzpw4ADAA2E692WynvgANH7Q6m7BDj2j4AACgOA0fAEBNGj5ItXTDt8UWW1Q+cqv24osvxiCKmj59erybnTbYYIM4ADAA2E692WynXk3DB63OJuzQIxo+AAAoTsMHqTvvvPPWKjNmzIjDAJSVhg9Srdvw/eMf/4hPuqr047dotJPzzz8/3tBO3/72t+NAW3v33XfjziGvX77TC1iI7B/MWJ6q2E69IWynXk3DB63OJux9wCbs7UTDBwAAxWn4IDV27Nj4xyBx5plnxmEAykrDB6nWbfhuu+22+JirSj/WG+1kgXrj5ptvjgNt7YUXXoirQt4dd9wRI4CBwXbqzWY79WoaPmh1NmFvNpuwtxkNHwAAFKfhg5SGD4Auafgg1boN3/HHHx+fDlXpx3qjnSxQb/zjH/+IA21NwwetwnbqTWU79S5p+KCl2YS92WzC3n40fAAAUJyGD1IaPgC69M9//vO2rjz99NMxAsqkdRu+LbfcMj4dqjJ79uwYRFEPPPBAvJudRo0aFQfanYYPWoLt1JutnNup1/Tqq6/GnUNe9niMAAYwm7A3m03Y24+GDwAAitPwQUrDBwBQU4s2fHPnzo2PhqqoNxri7LPPjje00/e+97040O40fNASbrOdepOVczt1oL3ZhL3ZbMLefjR8AABQnIYPUho+AICaWrThW2CfppR6oyH23XffeEM7ladg0/BBS7CderOVczt1oL3ZhL2pbMLeljR8AABQnIYPUho+AICaWrTh+6//+q/4dKiKeqP33n333bTeWHTRRcvzuaaGD1qC7dSbqrTbqQNtzCbszWYT9rak4QMAgOI0fJDS8AEA1NSiDd9WW20Vnw5Vefnll2MQRd15553xbnb66le/GgdKQMMHA5/t1JuttNupA23MJuzNZhP2tqThAwCA4jR8kNLwAQDU1IoN3wcffBAfDVXp43rj73//+89//vPDDz88O++iiy669tpr77DDDs8++2wc7okjjjhis802y34JK6200iabbNLR0REHunHrrbeefvrp++23Xzb4ox/96Iorrjhq1Kjsx5pPTD3zzDNTu/KjH/2o8n5WHH300XEgMWPGjOyXHxO1EQ0fDHy2U2+20m6nDrQxm7A3m03Y25KGDwAAitPwQUrDBwBQUys2fLfffnt8NFSlL+uNJ598ctSoUdlJhwwZsvfee2+yySaV15B5/PHHY1B9Ro4cmT1rvfXWO+igg5ZffvnKJEOHDo3DeVOnTt1ll10qY5ZccsnsNXR0dFRmqFh//fWfe+65GN29yy67LJ5Q1LBhw2KuNqLhg4HPdupNVebt1IE2ZhP2prIJe7vS8AEAQHEaPkhp+AAAamrFhu9//+//HZ8OVemzeuPmm29eccUVszNeddVV8dC//jVmzJjKyxgyZMib2Ttbn7XWWit7yiWXXFL58ZFHHll88cUr8+y2226VBytmzJhR+W6kYcOGnXbaaVOnTo0Dne6///4ll1yy8sTMrFmz4kA3Ojo6YmhR2Z+3Y642ouGDgc926k1V5u3UgXZlE/Zmswl7u9LwAQBAcRo+SGn4AABqasWG73Of+1x8OlTl1VdfjUHNNHPmzOWWWy47XRrwZc4666zKy8gcfvjh8ehCHXPMMdng/fbbL37utNNOO1UmyczfG3fGjBmVL0bKHnnjjTcqDy5g8uTJlWdlevN5ZEzRaeTIkfFoOWj4YICznXrGduoAPWIT9mazCXu70vABAEBxGj5IafgAAGpquYbvn//8Z3w0VKXP6o399tsvO90CAV/m8ssvr7ySzGc/+9l4tHvTpk3LRq633nqvvPJKPNTp0EMPrUySqWxENT/gy/5PZUx3Vl555coTM8ccc0w82hNTp06N53faf//940A5aPhggLOduu3UAXrKJuxNZRP2NqbhAwCA4jR8kNLwAQDU1HIN3x133BGfDlXpm3rjuuuuy861yy67xM+JiRMnVl5JxTPPPBMHujF+/PhsWPXXJh1xxBGVGSrmB3zTp0+PEd3bdtttK8/KfPrTn45HeyJ7PfH8Tj/96U/jQDlo+GCAs516dkWwnTpAj9iEvalswt7GNHwAAFCchg9SGj4AgJparuH7P//n/8SnQ1X6pt7YYostsnMtEE9UbLfddpVXUlHzq5gqCch9990XP88zPwSpqAR8xx13XBxeqG9/+9uVZ1W8/vrrcaBulW+Wmu+BBx6IA+Wg4YMBznbqtlMH6BGbsGdswk4xGj4AAChOwwcpDR8AQE0t1/AtUJilXnvttRjUNBdddFF2on333Td+zlthhRUqr6Ti3XffjQNdefzxx7Mxm2yySfyc2HDDDSszzDdmzJg4Vsthhx0Wz+l0//33x4G6xTM79fHnmgOBhg8GMtupV8Z0x3bqANVswm4TdgrT8AEAQHEaPkhp+AAAamq5hi8+AqrSN/XGF7/4xexc1d+cl7nxxhsrr6Riu+22iwPdOOWUU7JhXX71xYc//OHKJBUbbbTRwnPA1K677hpP6zRt2rQ4UJ8FPuMcN25cHCgNDR8MZLZTXzjbqQNUswl7dh2xCTvFaPgAAKA4DR+kNHwAADW1VsO3wPcDpcaPHx+DmubWW2/NTtTdtytlf/isvJKKs88+Ow50o/I9HAt8lpaZPn16ZYb5qscsxALfU/jyyy/Hgfocd9xx8cxOZ511VhwoDQ0fDGS2U18426kDVLMJu03YKUzDBwAAxWn4IKXhAwCoqbUavgXKhlT1Vxk13DnnnJOdqMsP2J555pmPfvSjlVeS+chHPvKnP/0pjnXl3XffzYZtscUW8XPi4osvrkxS0aNfV2Xa+ZZZZpk4ULfNNtssntzp0UcfjQOloeGDgWyBwixlO/WM7dQBFmAT9sqY7tiEnYXT8AEAQHEaPkhp+AAAamqthi8+GurKQQcdFIOa5txzzx02bNhLL70UPycmTZoUr6PT6NGj40A3nnnmmWzYddddFz8nJkyYUJmkYsqUKXGgDldffXU8rVP92UfFrFmz4pmdhg8fHgfKRMMHA1ksT1Vsp15hO3WABdiEfeFsws7CafgAAKA4DR+kNHwAADUN/IZv1qxZd91117HHHhufC3VjtdVWq/5yiz6z9dZbx+vo9Itf/CIO9NyIESNilkGDllpqqTlz5sSBOizwAd65554bB+pz2WWXxTM7ZX+cjgNlouGDAct26jXZTh1gATZhXzibsLNwGj4AAChOwwcpDR8AQE393vB1JI466qhvfetbe++990477fSlL31p+PDhSy21VHwcVJ8ll1xy7bXX3nbbbXfbbbdDDjkk5s2LEzfOo48+GqfvNHLkyDjQc6+99lrM0umrX/1qHKjPJptsEs/stPD9fKsdcMAB8cxONRuUtqThgwHLduoLZzt1gGo2YV84m7CzcBo+AAAoTsMHKQ0fAEBN/dvwLfC9cX1j1KhRcfoGOeGEE2LqTr35A+c111wTs3Q6+eST40AdHnnkkXhap8997nNxoG6f+cxn4smdZs6cGQfKRMMHA1asTV2xnXrGduoA1WJRq2IT9gqbsLNwGj4AAChOwwcpDR8AQE392/At5Isxmufhhx+O0zfIxhtvHFMPGjR48OA///nPcaDnFqg37rnnnjhQh+zWL57W6fjjj48D9ZkxY0Y8s1N3+0W2PQ0fDCi2U48DdbCdOsACbMJe0wK3YzZhZwEaPgAAKE7DBykNHwBATf3b8HV0dGR/Zttmm22++tWvjh49eo899thvv/0OPPDAI444YuLEidnRAv73//7f3/nOdyZMmJDNs++++2ZzZjN/7Wtf23bbbXfffffLL788zt0gU6ZMic+sOu2yyy5xoJC03lh66aXj0fosEJHcdtttcaA+P/3pT+OZnfbZZ584UDIaPuhLsXB3sp267dQBGssm7AtnE3Zq0vABAEBxGj5IafgAAGrq34avDWR3YfGZVaeLLrooDvTcAvXG17/+9ThQh9///vfxtE6f/OQn33vvvThWnz333DOe3Gny5MlxoGQ0fNBnbKe+ANupAzRWrGhdsQl7xibs1KThAwCA4jR8kNLwAQDUpOHrjTfffHPFFVeMj60GDVp++eVfffXVONZzC9QbkyZNigN1+O///u94Wqe99torDtRtlVVWiSd3+stf/hIHSkbDB33GduoLsJ06QO/ZhD0O1MEm7NSk4QMAgOI0fJDS8AHQpQ8++ODHXXnggQdiBJSJhq83LrroovjMqtN+++0XBwpZoN545JFH4kAdttlmm3hapyuuuCIO1Of555+PZ3ZaZ5114kD5aPigz3TYTj3PduoD33PPPRd3DnmzZs2KEUCTxXLfySbsNmGn2TR8AABQnIYPUho+ALo0d+7cuCrkXXnllTECykTD1xs77bRTfGbV6ZprrokDhaT1xuKLLx6P1mHatGnxtE5Dhw5966234lh9rr/++nhyp/Hjx8eB8tHwAfWznXrZZBfcuCrkTZ8+PUYAzWQT9gXYhJ1m0/ABAEBxGj5IafgA6JKGD1IavsIWKOdWX331bHmJY4kJEyaMGzcufujeAvXGtttuGwfqcPLJJ8fTOnVX4I0ZM6a7rxLJHo8nd6r5NX5XX311Pb+oVqThA+pkO/US0vBB/7IJ+wJswk6zafgAAKA4DR+kNHwAdEnDBykNX2ETJ06Mz6w6ffvb344Did/85jfZoTFjxsTP3Vug3ujRvl1bbLFFPK3TddddFwcSN954Y3Yo+xNy/JyXrYGV51bMnj07DnTlggsuyMbsvvvu8XN70fABdbKdeglp+KB/ZX9Ctgl7yibsNJuGDwAAitPwQUrDB0CXNHyQ0vAVtsC3Ft19991xINHR+f12EydOjJ+7t0C9ceutt8aBWu6///54TqfVV1/9gw8+iGOJ/fffPzt6ySWXxM95iyyySOXpmXXXXTce7UblG1CyX1r83F40fECdbKdeQho+oJdswk5r0fABAEBxGj5IvfLKKy9V6enfZQPQfjR8kNLwFbPA1+Z98YtfjAN56667bnb0zjvvjJ+7l9YbmXfeeScO1HLOOefEczodccQRcSCR/TF4ueWWGzZs2Pvvvx8PJW655ZZ4cqfDDz88DnTl2muvzcasscYa2R+246H2kl0jKjcOC5gzZ06MALCdeptup16Thg/oDZuw03I0fAAAUJyGDwCgJg0fpDR8xRxxxBHxgVWnU089NQ4kKp+rfelLX4qfu7dAvbH++uvHgToccMAB8bROU6dOjQOJ8847Lzt0yimnxM95C9QbP/vZz+JAlffee2+TTTbJxpxxxhnxEEAp2U49fi4ZDR/QGzZhp+Vo+AAAoDgNHwBATRo+SGn4ihkzZkx8ZtXplltuiQOJvfbaKzt04YUXxs/dW6DeOOSQQ+JAHT772c/G0zq3wYpH87bffvuVV175hRdeiJ/zFmj4uqwAKyojt9lmm/gZoKxspx4/l4yGD+gNm7DTcjR8AABQnIYPAKAmDR+kNHzFZItGfGbV6cUXX4wD8zz99NOLLbbY1772tfh5oRaoNy6//PI4UIdll102njZo0A477BCPJn7+859nh84888z4ucrtt99eeXrFrFmz4kDefffdt8gii2Sne+qpp+IhgFJaILy2nXp5aPiAwhYo52zCTkvQ8AEAQHEaPgCAmjR8kNLwFZN+cDVq1Kh4NLHnnnsOHjz4vvvui58XaoF649lnn40DdRg7dmw8bdCggw46KB6d56233lp33XUX/qneAh8B/v3vf48DiXfffXfHHXfMjt50003xEEBZ2U49HiofDR9QmE3Y42daioYPAACK0/ABANSk4YOUhq+Yyy+/vPKRVWbChAnx6DwHHXRQ9vgJJ5wQPy/UAvVGl0XgQpx//vnxzK52bKzEGTW3Zdx8880rM2RmzJgRj87z+OOPb7rpptmhMncbAPPZTr20NHxAYTZhj59pKRo+AAAoTsMHAFCThg9SGr5i/vGPf2y//faVD65GjBgRj/7rX6+++upxxx2XPbjffvvFQ7VUvm9jvp5+vvXuu+9utdVWlefutttu8ei//vXUU09lK1v24MknnxwPde/cc8+tzJBZ4Luarr766hVWWCF7/Ne//nU8BFBuldV1Ptupl4eGDyjGJuyl3YS91Wn4AACgOA0fAEBNGj5IafgKmz179sYbb1z57CpbQ6644oqddtppySWXzH6sJ5ubb/LkyZVJMkssscRjjz0WB+o2ffr05ZZbrjLD2LFjf/WrX2X/veyyy3784x+vvwX5yle+Upkhc+ihh1511VW77bZbpd7bfPPNn3jiiRgHUHrpd9fZTr1UNHxAMTZhj4doNRo+AAAoTsMHAFCThg9SGr7e+MMf/jBu3Lhhw4ZVPsFabrnldt5550svvTQO162yLePyyy9/zjnnxEM9dO2112aTrLTSSpVXss466+y///515iPz/frXv1599dUrM2QWW2yxz33uc0ceeeQbb7wRIwCwnXqJafiAYmzCTovS8AEAQHEaPgCAmjR8kNLwNcSLL774yCOPxA+FLOTTrx556qmn/vznP8cPPff+++/PmjXr0Ucffeihh+IhAPJsp15aGj6gmGyhqCyzFTZhp1Vo+AAAoDgNHwBATRo+SGn4AKCnbKdeTho+oJj0u+tswk4L0fABAEBxGj4AgJo0fJDS8AFAAbZTLyENH1CMTdhpURo+AAAoTsMHAFCThg9SGj4A6A3bqZeHhg8oxibstCgNHwAAFKfhAwCoScMHKQ0fAEA9NHxAYTZhpxVp+AAAoDgNHwBATRo+SGn4AADqoeEDesMm7LQcDR8AABSn4QMAqEnDBykNHwBAPTR8QEPYhJ1WoeEDAIDiNHwAADVp+CCl4QMAqIeGD4BS0fABAEBxGj4AgJo0fJDS8AEA1EPDB0CpaPgAAKA4DR8AQE0aPkhp+AAA6qHhA6BUNHwAAFCchg8AoCYNH6Q0fAAA9dDwAVAqGj4AAChOwwcAUJOGD1IaPgCAemj4ACgVDR8AABSn4QMAqEnDBykNHwBAPTR8AJSKhg8AAIrT8AEA1KThg5SGDwCgHho+AEpFwwcAAMVp+AAAatLwQUrDBwBQDw0fAKWi4QMAgOI0fJA68sgj960yefLkOAxAWWn4IKXhg9Ts2bPjziHv7rvvjhEAlJWGD4BS0fABAEBxGj5IjR07Nv4xSJx55plxGICy0vBBSsMHqRdeeCGuCnl33HFHjACgrDR8AJSKhg8AAIrT8EFKwwdAlz744IP9unK9ZIlS0vBBSsMHQHeefPLJuHPImzlzZowAgDai4QMAgOI0fJDS8AEA1KThg5SGDwAAIKPhAwCA4jR8kNLwAQDUpOGDlIYPAAAgo+EDAIDiNHyQ0vABANSk4YOUhg8AACCj4QMAgOI0fJDS8AEA1KThg5SGDwAAIKPhAwCA4jR8kNLwAQDUpOGDlIYPAAAgo+EDAIDiNHyQ0vABANSk4YOUhg8AACCj4QMAgOI0fJDS8AEA1KThg5SGDwAAIKPhAwCA4jR8kNLwAQDUpOGDlIYPAAAgo+EDAIDiNHyQ0vABANSk4YOUhg8AACCj4QMAgOI0fJDS8AEA1KThg5SGDwAAIKPhAwCA4jR8kNLwAQDUpOGDlIYPAAAgo+EDAIDiNHyQ0vABANSk4YOUhg8AACCj4QMAgOI0fJDS8AEA1KThg5SGDwAAIKPhAwCA4jR8kNLwAQDUpOGDlIYPAAAgo+EDAIDiNHyQ0vABANSk4YOUhg8AACCj4QMAgOI0fJDS8AEA1KThg5SGDwAAIKPhAwCA4jR8kNLwAQDUpOGDlIYPAAAgo+EDAIDiNHyQ0vABANSk4YOUhg8AACCj4QMAgOI0fJDS8AEA1KThg5SGDwAAIKPhAwCA4jR8kNLwAQDUpOGDlIYPAAAgo+EDAIDiNHyQ0vABANSk4YOUhg8AACCj4QMAgOI0fJDS8AEA1KThg5SGDwAAIKPhAwCA4jR8kNLwAQDUpOGDlIYPAAAgo+EDAIDiNHyQ0vAB0J3ZXXnnnXfiMJSJhg9SGj4AuvP+++/HnUNe9niMAIA2ouEDAIDiNHyQ0vAB0KW5c+fGVSHvyiuvjBFQJho+SGn4AOjOtGnT4qqQN3369BgBAG1EwwcA/z979x532Vw3/t/3oYN0q1RymBQl6R7kcItwa1JE5JAZSdQYmZAIkVN3U3KMpHEWg+QYcogS5tbtnDCjMeMQYjI1zqMZgxnzW2a/Xb917X1d19577bWva629n8/H+qNZ67PX3mt3zVrXmv2yPwDZafggTcMHQJ80fJCm4YM0DR8A/dHwAdBVNHwAAJCdhg/SNHwA9EnDB2kaPkjT8AHQHw0fAF1FwwcAANlp+CBNwwdAnzR8kKbhgzQNHwD90fAB0FU0fAAAkJ2GD9LOOuusX9S48cYbYzMA3UrDB2kaPkh78cUX486ht6lTp8YIALqVhg+ArqLhAwCA7DR8AAB1afggTcMHANAIDR8AXUXDBwAA2Wn4AADq0vBBmoYPAKARGj4AuoqGDwAAstPwAQDUpeGDNA0fAEAjNHwAdBUNHwAAZKfhAwCoS8MHaRo+AIBGaPgA6CoaPgAAyE7DBwBQl4YP0jR8AACN0PAB0FU0fAAAkJ2GDwCgLg0fpGn4AAAaoeEDoKto+AAAIDsNHwBAXRo+SNPwAQA0QsMHQFfR8AEAQHYaPgCAujR8kKbhAwBohIYPgK6i4QMAgOw0fAAAdWn4IE3DBwDQCA0fAF1FwwcAANlp+AAA6tLwQZqGDwCgERo+ALqKhg8AALLT8AEA1KXhgzQNHwBAIzR8AHQVDR8AAGSn4QMAqEvDB2kaPgCARmj4AOgqGj4AAMhOwwcAUJeGD9I0fAAAjdDwAdBVNHwAAJCdhg8AoC4NH6Rp+AAAGqHhA6CraPgAACA7DR8AQF0aPkjT8AEANELDB0BX0fABAEB2Gj4AgLo0fJCm4QMAaISGD4CuouEDAIDsNHwAAHVp+CBNwwcA0AgNHwBdRcMHAADZafgAAOrS8EGahg8AoBEaPgC6ioYPAACy0/ABANSl4YM0DR8AQCM0fAB0FQ0fAABkp+EDAKhLwwdpGj4AgEZo+ADoKho+AADITsMHAFCXhg/SNHwAAI3Q8AHQVTR8AACQnYYPAKAuDR+kafgAABqh4QOgq2j4AAAgOw0fAEBdGj5I0/ABADRCwwdAV9HwAQBAdho+SLv55puvrzFlypTYDEC30vBBmoYP0ubMmRN3Dr099dRTMQKAbqXhA6CraPgAACA7DR+kjR49Ov4apIwfPz42A9CtNHyQpuGDtBkzZsRVobebbropRgDQrTR8AHQVDR8AAGSn4YM0DR8AfdLwQZqGD9I0fAD0R8MHQFfR8AEAQHYaPkjT8AHQp9dff/2PfXn00UdjBHQTDR+kafgA6M9zzz0Xdw69JetjBAB0EA0fAABkp+GDNA0fAEBdGj5I0/ABAAAkNHwAAJCdhg/SNHwAAHVp+CBNwwcAAJDQ8AEAQHYaPkjT8AEA1KXhgzQNHwAAQELDBwAA2Wn4IE3DBwBQl4YP0jR8AAAACQ0fAABkp+GDNA0fAEBdGj5I0/ABAAAkNHwAAJCdhg/SNHwAAHVp+CBNwwcAAJDQ8AEAQHYaPkjT8AEA1KXhgzQNHwAAQELDBwAA2Wn4IE3DBwBQl4YP0jR8AAAACQ0fAABkp+GDNA0fAEBdGj5I0/ABAAAkNHwAAJCdhg/SNHwAAHVp+CBNwwcAAJDQ8AEAQHYaPkjT8AEA1KXhgzQNHwAAQELDBwAA2Wn4IE3DBwBQl4YP0jR8AAAACQ0fAABkp+GDNA0fAEBdGj5I0/ABAAAkNHwAAJCdhg/SNHwAAHVp+CBNwwcAAJDQ8AEAQHYaPkjT8AEA1KXhgzQNHwAAQELDBwAA2Wn4IE3DBwBQl4YP0jR8AAAACQ0fAABkp+GDNA0fAEBdGj5I0/ABAAAkNHwAAJCdhg/SNHwAAHVp+CBNwwcAAJDQ8AEAQHYaPkjT8AEA1KXhgzQNHwAAQELDBwAA2Wn4IE3DBwBQl4YP0jR8AAAACQ0fAABkp+GDNA0fAEBdGj5I0/ABAAAkNHwAAJCdhg/SNHwAAHVp+CBNwwcAAJDQ8AEAQHYaPkjT8AEA1KXhgzQNHwAAQELDBwAA2Wn4IE3DB0Cf5s+ff2Jf7rrrrhgB3UTDB2kaPgD68+STT8adQ2/Tp0+PEQDQQTR8AACQnYYP0jR8APRp3rx5cVXo7eKLL44R0E00fJCm4QOgP5MnT46rQm/3339/jACADqLhAwCA7DR8kKbhA6BPGj5I0/BBmoYPgP5o+ADoKho+AADITsMHaRo+APqk4YM0DR+kafgA6I+GD4CuouEDAIDsNHyQpuEDoE8aPkjT8EGahg+A/mj4AOgqGj4AAMhOwwdpzz777NM1XnrppdgMQLfS8EGahg/SkmtE3Dn0Nnfu3BgBQLfS8AHQVTR8AACQnYYPAKAuDR+kafgAABqh4QOgq2j4AAAgOw0fAEBdGj5I0/ABADRCwwdAV9HwAQBAdho+AIC6NHyQpuEDAGiEhg+ArqLhAwCA7DR8AAB1afggTcMHANAIDR8AXUXDBwAA2Wn4AADq0vBBmoYPAKARGj4AuoqGDwAAstPwAQDUpeGDNA0fAEAjNHwAdBUNHwAAZKfhAwCoS8MHaRo+AIBGaPgA6CoaPgAAyE7DBwBQl4YP0jR8AACN0PAB0FU0fAAAkJ2GDwCgLg0fpGn4AAAaoeEDoKto+AAAIDsNHwBAXRo+SNPwAQA0QsMHQFfR8AEAQHYaPgCAujR8kKbhAwBohIYPgK6i4QMAgOw0fAAAdWn4IE3DBwDQCA0fAF1FwwcAANlp+AAA6tLwQZqGDwCgERo+ALqKhg8AALLT8AEA1KXhgzQNHwBAIzR8AHQVDR8AAGSn4QMAqEvDB2kaPgCARmj4AOgqGj4AAMhOwwcAUJeGD9I0fAAAjdDwAdBVNHwAAJCdhg8AoC4NH6Rp+AAAGqHhA6CraPgAACA7DR8AQF0aPkjT8AEANELDB0BX0fABAEB2Gj4AgLo0fJCm4QMAaISGD4CuouEDAIDsNHwAAHVp+CBNwwcA0AgNHwBdRcMHAADZafgAAOrS8EGahg8AoBEaPgC6ioYPAACy0/ABANSl4YM0DR8AQCM0fAB0FQ0fAABkp+EDAKhLwwdpGj4AgEZo+ADoKho+AADITsMHafvtt98uNSZMmBCbAehWGj5I0/BB2syZM+POobdbb701RgDQrTR8AHQVDR8AAGSn4YO00aNHx1+DlPHjx8dmALqVhg/SNHyQNmPGjLgq9HbTTTfFCAC6lYYPgK6i4QMAgOw0fJCm4QOgT/Pnzx/Tl6slS3QlDR+kafgA6M/UqVPjzqG3adOmxQgA6CAaPgAAyE7DB2kaPgCAujR8kKbhAwAASGj4AAAgOw0fpGn4AADq0vBBmoYPAAAgoeEDAIDsNHyQpuEDAKhLwwdpGj4AAICEhg8AoCV33HHHVW3zpz/9KZ6mNc8//3zssT3+9a9/xTO1poxv5hZbbPGpGt/4xjdic/O6+c3MnTczRw2+mXUbPm9mwk9mjryZOfJm5sibmSNvZo68mTlq8c3safg23PCOT33qqp7lBz+I/efCT2aOvJk5qn0zszV83syEn8wceTNz5M3MkTczR97MHHkzc+TNzFG3vZmxu6uumjJlSqyi/DR8AAAtGTduXPzrchvsv//+8TStefDBB2OP7XH33XfHM7WmFG/mQw89FHtcaIUVVli6xic+8YnY3LxufjNz583MUYNvZt2Gz5uZ8JOZI29mjvJ6M3/0ox/FHtvAm5kjb2aO9ttvv3ia1ngzE13yZvY0fB//+I+WXvpLPcunPhX7z4WfzBx5M3NU+2Zma/i8mQk/mTnyZubIm5kjb2aOyvJm/vnPf45nao03M+HNzJE3M0d5vZmxuy99acKECbGK8tPwAQC0pBSf+mv4Em36oFrD14p23wx7M3PU4Jup4WuEn8wceTNzlNeb2dZ/jfVm5sibmSOfreaoS95MDV+an8wclfTN1PBl5iczR97MHHkzc+TNzFFZ3kylVI68mTnyZuZIw8cANHwAAC0pxaf+Gr5Emz6o1vC1ot03w97MHDX4Zmr4GuEnM0fezBzl9Wa29V9jvZk58mbmyGerOeqSN1PDl+YnM0clfTM1fJn5ycyRNzNH3swceTNzVJY3UymVI29mjryZOdLwMQANHwBAS0rxqb+GL9GmD6o1fK1o982wNzNHDb6ZGr5G+MnMkTczR3m9mW3911hvZo68mTny2WqOuuTN1PCl+cnMUUnfTA1fZn4yc+TNzJE3M0fezByV5c1USuXIm5kjb2aONHwMQMMHANCSUnzqr+FLtOmDag1fK9p9M+zNzFGDb6aGrxF+MnPkzcxRXm9mW/811puZI29mjny2mqMueTM1fGl+MnNU0jdTw5eZn8wceTNz5M3MkTczR2V5M5VSOfJm5sibmSMNHwPQ8AEAtKQUn/pr+BJt+qBaw9eKdt8MezNz1OCbqeFrhJ/MHHkzc5TXm9nWf431ZubIm5kjn63mqEveTA1fmp/MHJX0zdTwZeYnM0fezBx5M3PkzcxRWd5MpVSOvJk58mbmSMPHADR8AAAtKcWn/hq+RJs+qNbwtaLdN8PezBw1+GZq+BrhJzNH3swc5fVmtvVfY72ZOfJm5shnqznqkjdTw5fmJzNHJX0zNXyZ+cnMkTczR97MHHkzc1SWN1MplSNvZo68mTnS8DEADR8AQEtefvnll9pmzpw58TStmT9/fuyxPebNmxfP1Joyvpljx47dvMaPf/zj2Ny8bn4zc+fNzFGDb2bdhs+bmfCTmSNvZo68mTnyZubIm5kjb2aOWnwzexq+LbZ4efPNX+pZLr009p8LP5k58mbmqPbNzNbweTMTfjJz5M3MkTczR97MHHkzc+TNzJE3M0fd9mbG7l566ZVXXolVlJ+GDwAAsvv2t78dHy+kHH300bEZukzdhg8AgJ6Gr2q5+uoYAF0lW8MHAADQYTR8AACQnYYP0jR8AAB1afggTcMHAACQ0PABAEB2Gj5I0/ABANSl4YM0DR8AAEBCwwcAANlp+CBNwwcAUJeGD9I0fAAAAAkNHwAAZKfhgzQNHwBAXRo+SNPwAQAAJDR8AACQnYYP0jR8AAB1afggTcMHAACQ0PABAEB2Gj5I0/ABANSl4YM0DR8AAEBCwwcAANlp+CBNwwcAUJeGD9I0fAAAAAkNHwAAZKfhgzQNHwBAXRo+SNPwAQAAJDR8AACQnYYP0jR8AAB1afggTcMHAACQ0PABAEB2Gj5I0/ABANSl4YM0DR8AAEBCwwcAANlp+CBNwwdAf2b2Zfbs2bEZuomGD9I0fAD059VXX407h96S9TECADqIhg8AALLT8EGahg+APs2bNy+uCr1dfPHFMQK6iYYP0jR8APRn8uTJcVXo7f77748RANBBNHwAAJCdhg/SNHwA9EnDB2kaPkjT8AHQHw0fAF1FwwcAANlp+CBNwwdAnzR8kKbhgzQNHwD90fAB0FU0fAAAkJ2GD9I0fAD0ScMHaRo+SNPwAdAfDR8AXUXDBwAA2Wn4IO2ss876RY0bb7wxNgPQrTR8kKbhg7QXX3wx7hx6mzp1aowAoFtp+ADoKho+AADITsMHAFCXhg/SNHwAAI3Q8AHQVTR8AACQnYYPAKAuDR+kafgAABqh4QOgq2j4AAAgOw0fAEBdGj5I0/ABADRCwwdAV9HwAQBAdho+AIC6NHyQpuEDAGiEhg+ArqLhAwCA7DR8AAB1afggTcMHANAIDR8AXUXDBwAA2Wn4AADq0vBBmoYPAKARGj4AuoqGDwAAstPwAQDUpeGDNA0fAEAjNHwAdBUNHwAAZKfhAwCoS8MHaRo+AIBGaPgA6CoaPgAAyE7DBwBQl4YP0jR8AACN0PAB0FU0fAAAkJ2GDwCgLg0fpGn4AAAaoeEDoKto+AAAIDsNHwBAXRo+SNPwAQA0QsMHQFfR8AEAQHYaPgCAujR8kKbhAwBohIYPgK6i4QMAgOw0fAAAdWn4IE3DBwDQCA0fAF1FwwcAANlp+AAA6tLwQZqGDwCgERo+ALqKhg8AALLT8AEA1KXhgzQNHwBAIzR8AHQVDR8AAGSn4QMAqEvDB2kaPgCARmj4AOgqGj4AAMhOwwcAUJeGD9I0fAAAjdDwAdBVNHwAAJCdhg8AoC4NH6Rp+AAAGqHhA6CraPgAACA7DR8AQF0aPkjT8AEANELDB0BX0fABAEB2Gj4AgLo0fJCm4QMAaISGD4CuouEDAIDsNHwAAHVp+CBNwwcA0AgNHwBdRcMHAADZafgAAOrS8EGahg8AoBEaPgC6ioYPAACy0/ABANSl4YM0DR8AQCM0fAB0FQ0fAABkp+GDtJtvvvn6GlOmTInNAHQrDR+kafggbc6cOXHn0NtTTz0VIwDoVho+ALqKhg8AALLT8EHa6NGj469Byvjx42MzAN1KwwdpGj5ImzFjRlwVervppptiBADdSsMHQFfR8AEAQHYaPkjT8AHQJw0fpGn4IE3DB0B/NHwAdBUNHwAAZKfhgzQNHwB9ev311//Yl0cffTRGQDfR8EGahg+A/jz33HNx59Bbsj5GAEAH0fABAEB2Gj5I0/ABANSl4YM0DR8AAEBCwwcAANlp+CBNwwcAUJeGD9I0fAAAAAkNHwAAZKfhgzQNHwBAXRo+SNPwAQAAJDR8AACQnYYP0jR8AAB1afggTcMHAACQ0PABAEB2Gj5I0/ABANSl4YM0DR8AAEBCwwcAANlp+CBNwwcAUJeGD9I0fAAAAAkNHwAAZKfhgzQNHwBAXRo+SNPwAQAAJDR8AACQnYYP0jR8AAB1afggTcMHAACQ0PABAEB2Gj5I0/ABANSl4YM0DR8AAEBCwwcAANlp+CBNwwcAUJeGD9I0fAAAAAkNHwAAZKfhgzQNHwBAXRo+SNPwAQAAJDR8AACQnYYP0jR8AAB1afggTcMHAACQ0PABAEB2Gj5I0/ABANSl4YM0DR8AAEBCwwcAANlp+CBNwwcAUJeGD9I0fAAAAAkNHwAAZKfhgzQNHwBAXRo+SNPwAQAAJDR8AACQnYYP0jR8AAB1afggTcMHAACQ0PABAEB2Gj5I0/ABANSl4YM0DR8AAEBCwwcAANlp+CBNwwcAUJeGD9I0fAAAAAkNHwAAZKfhgzQNHwBAXRo+SNPwAQAAJDR8AACQnYYP0jR8AAB1afggTcMHAACQ0PABAEB2Gj5I0/ABANSl4YM0DR8AAEBCwwcAANlp+CBNwwcAUJeGD9I0fAAAAAkNHwAAZKfhgzQNHwBAXRo+SNPwAQAAJDR8AACQnYYP0jR8APRp/vz5J/blrrvuihHQTTR8kKbhA6A/Tz75ZNw59DZ9+vQYAQAdRMMHAADZafggTcMHQJ/mzZsXV4XeLr744hgB3UTDB2kaPgD6M3ny5Lgq9Hb//ffHCADoIBo+AADITsMHaRo+APqk4YM0DR+kafgA6I+GD4CuouEDAIDsNHyQpuEDoE8aPkjT8EGahg+A/mj4AOgqGj4AAMhOwwdpGj4A+qThgzQNH6Rp+ADoj4YPgK6i4QMAgOw0fJD27LPPPl3jpZdeis0AdCsNH6Rp+CAtuUbEnUNvc+fOjREAdCsNHwBdRcMHAADZafgAAOrS8EGahg8AoBEaPgC6ioYPAACy0/ABANSl4YM0DR8AQCM0fAB0FQ0fAABkp+EDAKhLwwdpGj4AgEZo+ADoKho+AADITsMHAFCXhg/SNHwAAI3Q8AHQVTR8AACQnYYPAKAuDR+kafgAABqh4QOgq2j4AAAgOw0fAEBdGj5I0/ABADRCwwdAV9HwAQBAdho+AIC6NHyQpuEDAGiEhg+ArqLhAwCA7DR8AAB1afggTcMHANAIDR8AXUXDBwAA2Wn4AADq0vBBmoYPAKARGj4AuoqGDwAAstPwAQDUpeGDNA0fAEAjNHwAdBUNHwAAZKfhAwCoS8MHaRo+AIBGaPgA6CoaPgAAyE7DBwBQl4YP0jR8AACN0PAB0FU0fAAAkJ2GDwCgLg0fpGn4AAAaoeEDoKto+AAAIDsNHwBAXRo+SNPwAQA0QsMHQFfR8AEAQHYaPgCAujR8kKbhAwBohIYPgK6i4QMAgOw0fAAAdWn4IE3DBwDQCA0fAF1FwwcAANlp+AAA6tLwQZqGDwCgERo+ALqKhg8AALLT8AEA1KXhgzQNHwBAIzR8AHQVDR8AAGSn4QMAqEvDB2kaPgCARmj4AOgqGj4AAMhOwwcAUJeGD9I0fAAAjdDwAdBVNHwAAJCdhg8AoC4NH6Rp+AAAGqHhA6CraPgAACA7DR8AQF0aPkjT8AEANELDB0BX0fABAEB2Gj4AgLo0fJCm4QMAaISGD4CuouEDAIDsNHyQtt9+++1SY8KECbEZgG6l4YM0DR+kzZw5M+4cerv11ltjBADdSsMHQFfR8AEAQHYaPkgbPXp0/DVIGT9+fGwGoFtp+CBNwwdpM2bMiKtCbzfddFOMAKBbafgA6CoaPgAAyE7DB2kaPgD6NH/+/DF9uVqyRFfS8EGahg+A/kydOjXuHHqbNm1ajACADqLhAwCA7DR8kKbhAwCoS8MHaRo+AACAhIYPAACy0/BBmoYPAKAuDR+kafgAAAASGj4AAMhOwwdpGj4AgLo0fJCm4QMAAEho+AAAIDsNH6Rp+AAA6tLwQZqGDwAAIKHhAwCA7DR8kKbhAwCoS8MHaRo+AACAhIYPAACy0/BBmoYPAKAuDR+kafgAAAASGj4AAMhOwwdpGj4AgLo0fJCm4QMAAEho+AAAIDsNH6Rp+AAA6tLwQZqGDwAAIKHhAwCA7DR8kKbhAwCoS8MHaRo+AACAhIYPAACy0/BBmoYPAKAuDR+kafgAAAASGj4AAMhOwwdpGj4AgLo0fJCm4QMAAEho+AAAIDsNH6Rp+AAA6tLwQZqGDwAAIKHhAwCA7DR8kKbhAwCoS8MHaRo+AACAhIYPAACy0/BBmoYPAKAuDR+kafgAAAASGj4AAMhOwwdpGj4AgLo0fJCm4QMAAEho+AAAIDsNH6Rp+AAA6tLwQZqGDwAAIKHhAwCA7DR8kKbhAwCoS8MHaRo+AACAhIYPAACy0/BBmoYPAKAuDR+kafgAAAASGj4AAMhOwwdpGj4AgLo0fJCm4QMAAEho+AAAIDsNH6Rp+AAA6tLwQZqGDwAAIKHhAwCA7DR8kKbhAwCoS8MHaRo+AACAhIYPAACy0/BBmoYPAKAuDR+kafgAAAASGj4AAMhOwwdpGj4AgLo0fJCm4QMAAEho+AAAIDsNH6Rp+ADoz8y+zJ49OzZDN9HwQZqGD4D+vPrqq3Hn0FuyPkYAQAfR8AEAQHYaPkjT8AHQp3nz5sVVobeLL744RkA30fBBmoYPgP5Mnjw5rgq93X///TECADqIhg8AALLT8EGahg+APmn4IE3DB2kaPgD6o+EDoKto+AAAIDsNH6Rp+ADok4YP0jR8kKbhA6A/Gj4AuoqGDwAAstPwQZqGD4A+afggTcMHaRo+APqj4QOgq2j4AAAgOw0fpJ111lm/qHHjjTfGZgC6lYYP0jR8kPbiiy/GnUNvU6dOjREAdCsNHwBdRcMHAADZafgAAOrS8EGahg8AoBEaPgC6ioYPAACy0/ABANSl4YM0DR8AQCM0fAB0FQ0fAABkp+EDAKhLwwdpGj4AgEZo+ADoKho+AADITsMHAFCXhg/SNHwAAI3Q8AHQVTR8AACQnYYPAKAuDR+kafgAABqh4QOgq2j4AAAgOw0fAEBdGj5I0/ABADRCwwdAV9HwAQBAdho+AIC6NHyQpuEDAGiEhg+ArqLhAwCA7DR8AAB1afggTcMHANAIDR8AXUXDBwAA2Wn4AADq0vBBmoYPAKARGj4AuoqGDwAAstPwAQDUpeGDNA0fAEAjNHwAdBUNHwAAZKfhAwCoS8MHaRo+AIBGaPgA6CoaPgAAyE7DBwBQl4YP0jR8AACN0PAB0FU0fAAAkJ2GDwCgLg0fpGn4AAAaoeEDoKto+AAAIDsNHwBAXRo+SNPwAQA0QsMHQFfR8AEAQHYaPgCAujR8kKbhAwBohIYPgK6i4QMAgOw0fAAAdWn4IE3DBwDQCA0fAF1FwwcAANlp+AAA6tLwQZqGDwCgERo+ALqKhg8AALLT8AEA1KXhgzQNHwBAIzR8AHQVDR8AAGSn4QMAqEvDB2kaPgCARmj4AOgqGj4AAMhOwwcAUJeGD9I0fAAAjdDwAdBVNHwAAJCdhg8AoC4NH6Rp+AAAGqHhA6CraPgAACA7DR8AQF0aPkjT8AEANELDB0BX0fABAEB2Gj4AgLo0fJCm4QMAaISGD4CuouEDAIDsNHyQdvPNN19fY8qUKbEZgG6l4YM0DR+kzZkzJ+4cenvqqadiBADdSsMHQFfR8AEAQHYaPkgbPXp0/DVIGT9+fGwGoFtp+CBNwwdpM2bMiKtCbzfddFOMAKBbafgA6CoaPgAAyE7DB2kaPgD6pOGDNA0fpGn4AOiPhg+ArqLhAwCA7DR8kKbhA6BPr7/++h/78uijj8YI6CYaPkjT8AHQn+eeey7uHHpL1scIAOggGj4AAMhOwwdpGj4AgLo0fJCm4QMAAEho+AAAIDsNH6Rp+AAA6tLwQZqGDwAAIKHhAwCA7DR8kKbhAwCoS8MHaRo+AACAhIYPAACy0/BBmoYPAKAuDR+kafgAAAASGj4AAMhOwwdpGj4AgLo0fJCm4QMAAEho+AAAIDsNH6Rp+AAA6tLwQZqGDwAAIKHhAwCA7DR8kKbhAwCoS8MHaRo+AACAhIYPAACy0/BBmoYPAKAuDR+kafgAAAASGj4AAMhOwwdpGj4AgLo0fJCm4QMAAEho+AAAIDsNH6Rp+AAA6tLwQZqGDwAAIKHhAwCA7DR8kKbhAwCoS8MHaRo+AACAhIYPAACy0/BBmoYPAKAuDR+kafgAAAASGj4AAMhOwwdpGj4AgLo0fJCm4QMAAEho+AAAIDsNH6Rp+AAA6tLwQZqGDwAAIKHhAwCA7DR8kKbhAwCoS8MHaRo+AACAhIYPAICBPPXUU3ffffef//zn6dOnz5s3L9YWxrPPPjtxoQcffHDu3LmxdhBp+CBNwwcAUJeGD9I0fAAAAAkNHwAAvUyZMuV73/ve2muvvdxyyy1SY6mlllp99dVHjhx5/vnnz5gxIx4ziJInveCCC37wgx98+ctfXnHFFeNlvWmFFVb43Oc+N2bMmHHjxj3xxBPxmHbS8EGahg8AoC4NH6Rp+AAAABIaPgAA3vD000//8pe//MIXvhA1XGM23XTTo48++i9/+UvspZ1mzZqVPNfyyy8fz13P+9///gMPPHDatGnx+PbQ8EGahg8AoC4NH6Rp+AAAABIaPgAAFpx22mkf+tCHon1r3tve9rYDDzzwqaeeit3lbd68eb/4xS9WWWWVeL6Ftt5664MPPvi8887785//PHv27GeeeWby5MkXXnjhZpttFiMWWnzxxffaa6977rkn9pU3DR+kafi6R8FnWk+bM2dOZdb1+DMAQ6HIF45Zs2Y9+OCDyZVi2rRpL7zwQqxtJw0fpGn4ulnBbyteeumlqVOn3nrrrQ899NDzzz8fawEAoD00fAAA3W7rrbeO3m2htddee8yYMcccc8yVV15Z+RK7Bx544De/+c3hhx++4447LrPMMjGuxoc//OETTjihss8cTZkyZa211ornWOiDH/zgr3/969jcl8mTJx900EFvectb4gELXXLJJbE5Vxo+SNPwdbCCz7Ten0mTJo0YMaLyImV8AIOpyBeOefPmXXzxxckFYuWVV15iiSXiNb3pHe94x4orrrj++usfdthht99+ezwmVxo+SNPwdZWC31Zcdtll++233/bbb7/eeuvV/gvYW9/61mHDhq2xxhpf/epX3VwAAJA7DR8AQPe644473va2t8W/RC6s904//fTY1o+///3vBxxwwOKLLx6PqTFq1KgYmocpU6YMHz48dr3QNttsE9vqufrqq9/73vfGwxZqR8an4YM0DV/nKf5M6wO47LLLhg0bFq9JwwcwKAp+4bjlllu+973vve9974snbsCHPvSh3Xff/cILL4xd5EHDB2kavm5Q8KvDv/71rxNOOGGdddaJJ27Myiuv/JOf/OT++++PvQDAm66//vrkypLvTQTQDTR8AABd6p///Gf8o+Mii3ziE5+oW++l3X///bvvvns8uEZeGV9twHd1kx9q3XLLLSuuuGI8eKHcMz4NH6Rp+DpMwWdaH8C8efOOOeaYeB1v0vABtFuRLxzPPvvs1772tXimTDbaaKPLL788dtcaDR+kafg6XpGvDvfdd9++++679NJLx5MttOmmm+6yyy6HHXbYqaeeetVVV1100UUHH3xwsjI219hmm22mTJkSewSgZQWfab2uSZMm9Xy5wIQJE2ItQAM0fAAA3Si59e3599Mll1wyuR+ODc048MADK3uo1XrGVxvwZdvnX/7yl7e//e2xi4Xyzfg0fJCm4eskBZ9pvT8vvPBC8nSrr756PH2Khg+grYp84Tj//POrvqI7ebXJ7cxZZ511yy23PP300zNnzrz55ptPO+20vffee5NNNolBffnKV77S+gS7Gj5I0/B1tiJfHSZMmPCBD3wgnmCRRb7whS8ka/7973/H5hr33HPPoYce+olPfCIekLLsssueffbZMQ6AJhV8pvVmbbvttvHSF1lk3LhxsRagARo+AIBuNHr06LiJbP7L7dJ23XXX2EuNFjO+2glWMv8n1wcddFDs4k233nprbGuZhg/SNHydofgzrfdpypQphx9+eNXXr6Zp+GAIzZ8//8S+3HXXXTGCMiv4haPq6/fGjh179913x7Z+XHrppSNGjIgH9KXF/y5IwwdpGr5OVfCrw9577x07XWSR5Oetqd9JkpcRj+ztW9/61jPPPBODgDw8+eSTcefQ2/Tp02MEZVbwmdazOemkk+KFLqThA5qi4QMA6DoHHHBA3EEuskhTU+j2aYsttoh91TjrrLNiUJOSW/fYxZta+Y+tZ86c+dGPfjR2tNC2224b21qm4YM0DV8HKP5M62l//etfzzjjjOQHb+WVV46n6Z+GD4bQvHnz4qrQ28UXXxwjKK2CXzj23HPP2F1j9V7a2WefvcIKK8SDa7SS8Wn4IE3D15GKfHWYNm3aRhttVNnbW97ylqOOOio2NKO/jO+Tn/zko48+GoOAlk2ePDmuCr0lJ4oYQWkVeab1zB544IH0N7wmNHxAUzR8AADd5Q9/+EPcPuZ0A/nwww8vtdRSscfePv7xjz/99NMxrmEvvvhi1Sy6K620UmzL6uSTT459vem8886Lba3R8EGahq/sijzT+sSJE7/73e/uuOOOm2yyyRprrDFs2LC3vvWtsd/eklce/6s3DR8MIQ1fpyryhSNx/vnnx44WWWTvvfeOtc2YPXt2PL4vmTM+DR+kafg6T8GvDjvssENlPyuvvPLNN98ca5u32mqrVfZTZaeddooRQMs0fJ2qyDOtt6LnEtNDwwc0RcMHANBddt5558rdY3J/O3PmzFjbmvSXW1Q58MADY1DDktvaePCbvvOd78S2rP7xj38suuiisbuFVl999Zdeeik2t0DDB2kavrJL/h+Ms2TxZlqfOHFi7KIf73jHO5Kdn3feebXXkQoNHwwhDV+nKvKFI/0fL33lK1+Jtc275557Yi99ufLKK2NcMzR8kKbh6zxFvjpceOGFlT0svfTSd955Z6zN5Kijjqrsqtapp54ag4DWaPg6T8FnWm/FGWecES8oRcMHNEXDBwDQRSZNmhT3josscswxx8Talt12222x077ccsstMa4BU6ZMede73hWPfNO1114bm1vQM09Kj1zunzV8kKbhK7WCz7Q+QMO37bbbnnfeeT1ltoYPCkjD15GKfOG45557er4sfMSIEbNmzYoNmfQEH7U22GCDGNQMDR+kafg6TJGvDrNnz15zzTWTxy622GJXXHFFrM3q73//+7vf/e7Ki6mSXIMERpALDV+HKfJM6y3629/+tvzyy8erSdHwAU3R8AEAdJHvfe97lVvH5A75tddei7V5GDFiRGXPtbbeeusY1IBvf/vb8bA3LbvssrGtNYcddljs8U1rrLFGbGuBhg/Snn322adr5PKdl7Rb8WdanzhxYnKCHTt2bPLyTj/99Kuvvvruu+9+6qmnYnOKhg8KSMPXeQp+4dh2220rjx02bNiDDz4Ya1vQ38UlkeE/jtLwQVpyjVh431Bt7ty5MYLyKPjVoepkvvTSS48aNaqV17nHHnvEvmpss802MQhogYavkxR8pvUWfeMb34jX0VsuV0Oge2j4AAC6xZw5c5ZeeunKreNpp52W3D1ecsklU6ZMic2tSXZV2XOt9773vcn9eYwb0Kuvvjps2LB42Ju++MUvxubW3H777bHHlOuuuy42Z6XhAzpD8Wdab1zVJ3M9NHwwhDR8nafIF45bb701HrbIIj/5yU9ibWuS+6bYY433v//906ZNi3GN0fABnargtxXbb799PLK3bbfdttkcsOKkk06KXdR43/veF4OAFmj4OkmRZ1pv0bnnnhuvoIaGD2iKhg8AoFv89a9/jRvH3kaMGHH33XfHoBa87W1viz3WuP3222PQgM4777x4QEqOd7m1r3D33XePbVlp+IAOUPyZ1pui4YMC0vB1mIJfOHrm2FpppZVy/D7gUaNGVXZba8yYMTGoMRo+oCMV/7ZitdVWi4fVWHfddWNQM6644op4fF9y+dc26HIavo5R5JnWW/Tkk09+9KMfjaevoeEDmqLhAwDoFldeeWXcOPbltttui3FZffCDH4x91fjFL34RgwbUM+NVWo7JxQorrBA7fdMyyyzz/PPPx+ZMNHxAByj+TOtN0fBBAWn4OkyRLxyPPPLIf/zHf1Qe8vOf/zzW5uH3v/99Zbd9+sMf/hDjGqDhAzpSwW8rkt9GFl100XhYXx577LEY2rB77703HtyX1iMVQMPXGQo+03qLxo4dG8/dFw0f0BQNHwBAt/jZz34WN459af175tdaa63YV42dd945BvXvhRdeiNG9PfLIIzGiZZ/+9KdjpykTJkyIzZlo+ICyK/5M683S8EEBafg6ScEvHD1XgdVXX/3UU09NboKS839e8zkOHz68svNaRxxxRAxqgIYP6DzFv624//774zH9yPAPRM8//3w8uC9jx46NcUBWGr7OUPCZ1ltx0UUXVZ605xirJBfEGArQAA0fAEC3+Pa3vx03jv2IcVltttlmsaMaq6yySgzq32mnnRaje5s7d26MaNl2220XO03ZZpttYnMmGj6g7Io/03qzNHxQQBq+TlLwC8dOO+0Uo3vL5cOzI444InZXY9ttt41BDdDwAZ2n+LcVkydPjgf0I0PD9+KLL8aD+7LlllvGOCArDV8HKP5M65nNnDnzP//zP5OnW3bZZR977LHKU1fR8AFN0fABAHSLARq7ihb/8+ivf/3rsaO+zJkzJ8b1o8+JUZZaaqnYnIe99tor9tvbM888EyOap+EDyq74M603S8MHBaTh6yQFv3Cst956MbrGrrvuGoOyOvPMM2NfNZZffvkY1AANH9B5in9b0d/8Dz0mTZoUQxvWX7lY8YMf/CDGAVlp+DpAwWdab8V3vvOdytOdccYZyR8r/7uKhg9oioYPAKBbDPD18hUPPfRQDM2k5268T3X/JXSZZZaJoSlrrbVWbM7DT37yk9hvb638U7KGDyi7gs+0noGGDwpIw9dJCn7hWGqppWJ0X1r8z5YGLlT+9re/xbh6NHxA5ynFbcXYsWPjMTVWW221GNSM6667Lh7fl0svvTTGAVlp+Mqu+DOtZ3bFFVdUnmv77bevrKn8sYqGD2iKhg8AoFucccYZcePYl9a/8W7ghm/gf1h5/vnnY1xvm2yySYzIw6mnnhr77e2cc86JEc3T8AFlV/CZ1jPQ8EEBafg6SZEvHE8//XQM7UeLH6HdcccdsaO+XHjhhTGuHg0f0HlKcVtx9913x2NqXHLJJTGoGQP/U9tf//rXGAdkpeEru+LPtJ7Niy++uOaaaybP8t73vnfatGmVlZXnraLhA5qi4QMA6BYD/EtlYptttolxWe28886xr768/PLLMa4vyR11jOst3y+97++/zDvkkENiRPM0fEDZFXym9Qw0fFBAGr5OUuQLx8CNXaLFL4J69NFHY0d9OfDAA2NcPRo+oPOU5bZi0qRJm266aTxsoc997nN33nlnbG7SD37wg9hLjXe/+93z58+PcUBWGr6yK/5M69nsv//+lWcZP358rNLwAXnQ8AEAdJH+Jg15z3ve8+CDD8agrKr+DTTtYx/7WAzqx4QJE2JobzvssEOMyMONN94Y++1t5MiRMaJ5Gj6g7Ao+03oGGj4oIA1fJynyhWP69Okxrh877bRTDM3k3//+d+yoL1/+8pdjXD0aPqDzlOu24u677z59oRa/BWr06NHxCmpssMEGMQhogYav7Eox03qzrr322spTVH0BQWVlFQ0f0BQNHwBAF3nsscdq/3nxK1/5yjXXXBMjWrD66qvHHmt86UtfikH9OOigg2Job2PGjIkRebjvvvtiv70lrzxGNE/DB5RdkWdaz0bDBwWk4eskBb9wfPSjH42hfTnhhBNiXCYvvfRS7Kgvjf+nQRo+oPN03m1FIz73uc/FK6hx1llnxSCgBRq+sivFTOtNmTt37nrrrZfs/53vfOd9990XaxeqPG8VDR/QFA0fAEDXueGGGyZMmHDkkUeeeeaZf/7zn2Nty5Zeeum4Ma2xzz77xKB+bLPNNjG0t7322itG5OHJJ5+M/fa22GKLxYjmafiAsivyTOvZaPiggDR8naTgF47+vnq84vrrr49xmTzyyCOxo74cdthhMa4eDR/QeTrvtqKuASZw/+///u8YBLRGw1d2ZZlpvXGHHHJIZefHHXdcrHpTZX0VDR/QFA0fAAD5iLvSvlxyySUxqB+rrLJKDO3twAMPjBF5SG7aY781HnnkkRjUJA0f0AEKO9N6Nho+KCANX4cp8oVjgIhk//33j0FZ3XrrrbGvvpx33nkxrh4NH9CROuy2oq599903XkGNCy+8MAYBrdHwlV25Zlqv64YbbqjsebPNNotVKZVNVTR8QFM0fAAA5GDChAlxV1pj+PDhMah/MbRG7re4sd8aye13jGiShg/oAIWdaT0bDR8UkIavwxT8wpHcm6ywwgrxmIU+8YlPHHHEEbG5BZdffnnssS+33HJLjKtHwwd0pA67rRjYc889N2zYsHgFvfUZdgDZaPjKrsNmWv/MZz6T7PYtb3nLnXfeGatSKk9aRcMHNEXDBwBADkaMGBF3pTXq3qbOmjUrhtY46qijYlBOYr81rrjiihjRJA0f0DEKONN6Nho+KCANX0cq8oXj2Wefveyyy8aPH3/MMcdcfvnlr7zySmxozamnnhovpS9PPfVUjKtHwwd0sI65rRjYaaedFk9f46qrropBQMs0fGXXSTOt/+hHP6rstr//OqiytYqGD2iKhg8AgFbde++9cUvalylTpsS4fkyfPj2G1jjhhBNiUE5ivzUan/eqioYPYGBxnu1L3ZnWs9HwQQFp+GhcnLX70qYLR+P6u8QkRowYEYMaoOEDaFacbfsyJFeHz372s/H0vZ1zzjkxAsiDhq8DdMZM6//3f/+36KKLJrtNzv+xqkbleato+ICmaPgAAGjVQQcdFLekNUaNGhWD+jd16tQYXePUU0+NQTmJ/dY4+eSTY0STNHwAA2hxpvVsNHxQQBo+GjQkF47GVU3Rm9bUDYWGD6ApRbs6XH311fH0vZ1yyikxAsiJhq8DdMZM6z2x4M033xyralQGVNHwAU3R8AEA0JLZs2f391HWoosuOsA9bY8777wzHlDj7LPPjkE5if3WyFzdafgABtDKTOuZafiggDR8NGhILhwNuuGGG+Kl1FhqqaVmzpwZ4xqg4QNoSqGuDpMmTerz9Rx33HExAsiPhq9jlHqm9aOPPrqyz//5n/+JVX2pjKmi4QOaouEDAKAlp556atyP1jjiiCNi0IAG+DDsggsuiEE5if3WOPTQQ2NEkzR8AP1pcab1zDR8UEAaPhoxVBeOBtV+fUiPPffcMwY1RsMH0LhCXR1uvPHGYcOGxXOn/PjHP44RQK40fAwszsJ9yWum9bvuumvxxRdPdrj++uu/9tprsbYvleetouEDmqLhAwAgu1mzZv3nf/5n3I/2tvnmm8egeq644op4TI3LL788BuUk9ltj7733jhFN0vAB9KfFmdYz0/BBAWn4aMRQXTga8cQTT8RL6UuzlxgNH0DjinN1OPPMM9/xjnfEc79p3XXXvdrpG9pGw8cABmem9S233LKyzz/84Q+xqh+VYVU0fEBTNHwAAGR35JFHxs1ob0sssUTjX4l/7rnnxsNqXHvttTEoJ7HfGqNHj44RTdLwAfSp9ZnWM9PwQQFp+KhrCC8cjTjuuOPi1dQYM2ZMDGqYhg+gQQW5Olx22WV9zp972GGHzZ07NwYBbaDhYwCDMNP6CSecUNnh97///VjVv8rIKho+oCkaPgAAMnriiSeWXXbZuBntLbm5jUENOOmkk+JhNW688cYYlJPYb43tttsuRjRJwwfQp9ZnWs9MwwcFpOGjriG8cNT12muvrbXWWvFqelt55ZWnT58e4xqm4QNo0CBfHW666abf/va355133vjx4w8//PDRo0dvuOGGyy23XDzlm975znd+5zvfueeee+JhQNto+OjPIMy0PmnSpCWXXDLZW3Iv8NJLL8Xa/lWeuoqGD2iKhg8AgIwOOOCAuBPt7Zvf/GaMaEx/X+aXqPsF9c2K/dbYdNNNY0STNHwAtXKZaT0zDR8UkIaPgQ3thaOun/3sZ/Fqalx00UUxqBkaPoBGDPLVYdSoUbH3/n3gAx845JBDHn/88XgM0GYaPvozCDOtb7fddpUdXnXVVbFqQJXBVTR8QFM0fAAAZDFp0qTFFlss7kRTRowYESMadvTRR8eDa/z2t7+NQTmJ/dbQ8EEu9ttvv11qTJgwITbTNXKZaT0zDR8UkIaPgQ3thWNgM2fOXHHFFeMF9bbXXnvFoCZp+CAt+VsWdw693XrrrTGCbjXIV4fvfOc78QT1bLDBBueee+6MGTPikUDbaPjo0yDMtH7yySdXdrjPPvvEqnoq46to+ICmaPgAAMhixx13jNvQlAwBX+K0006Lx9e48MILY1BOYr81Ro4cGSOapOGDtNGjR8dfg5Tx48fHZrpDXjOtZ6bhgwLS8DGAIb9wDOwHP/hBvJre1lhjjeeeey4GNUnDB2kzZsyIq0JvN910U4ygKw3J1eGxxx5L7hrSfv/7359xxhmHHXbYTjvttOaaa8YreNMmm2xy9NFH33vvvfF4IG8aPvrU7pnWp02btswyyyR7Gz58+DPPPBNr66m8gCoaPqApGj4AAJrW5zfVZwv4EhdffHHsosbZZ58dg3IS+62xyy67xIgmafggTcNHIq+Z1jPT8EEBzZ8/f0xfrpYsUYALxwAefPDBJZdcMl5Qyjve8Y5WLisaPkjT8NGnAl4dZs+endxrLL744vFS3vSud73ruOOOi0FArqZOnRp3Dr1NmzYtRtB9BmGm9Z7vL7jkkktiVQMqD6mi4QOaouEDAKA5p5xyStyApmQO+BJ/+MMfYi81kueKQTmJ/dZo/Cvxq2j4IE3DR44zrWem4QMokSJcOAbQ37yKLV5TNHyQpuGjVpGvDvfcc88OO+wQLyhls802ixEAtFO7Z1r/5S9/Wdnh7rvvHqsaU3lUFQ0f0BQNHwAATbjmmmvi7jNl4403js2Z3HXXXbGjGscff3wMyknst8Zhhx0WI5qk4YM0DR85zrSemYYPoESKcOHoT5/3PonWLygaPkjT8FGryFeHim9+85vxslLe+ta3XnvttTECgDZo90zrjz322Ic//OFkbyuttNL06dNjbWMqL6OKhg9oioYPAIBGTZ48+UMf+lDcfb5p5MiRsTmrhx56KPZV4yc/+UkMyknst8axxx4bI5qk4YM0DV+Xy3em9cw0fABlUZALR5/6vPdJ5HI10fBBmoaPKkW+OvT497//vdpqq8WL680tMED7tHum9V122aWyw/POOy9WNazywCoaPqApGj4AABrywgsvbLjhhnHr+abddtstNrdg5syZsbsaud/ixn5rnHrqqTGiSRo+SNPwdbPcZ1rPTMMHUArFuXDU6vPeJ5HXpUTDB2kaPtKKfHWocv3118frq3HffffFIADy0+6Z1n/1q19VdrjLLrvEqmZUHltFwwc0RcMHAEBDdthhh7jvfNP3v//92Naa1157LfZYY9AavvPPPz9GNEnDB2kavq7VjpnWM9PwARRfoS4ctfqcwzHH64iGD9I0fPQo+NWhVn+3HostttgzzzwTgwDISVtnWv/HP/7xsY99LNnh8ssv/8gjj8TaZlReTxUNH9AUDR8AAPXtueeecdP5phNOOCG25WGppZaK/faW7y3urFmzYr81rrrqqhjUJA0fpGn4ulObZlrPTMMHUHBFu3BU6XMOx3vvvTc250HDB2kaPioKfnXo0x133BEvtMaoUaNiEAB5aPdM67vvvntln2eeeWasalLl4VU0fEBTNHwAANRx6KGHxh3nmy6//PLYlpM11lgjdt1bvre4jz/+eOy3RuawQ8MHaRq+LtS+mdYz0/ABFFkBLxxpfc7hmNxHxOacaPggTcNHouBXhwGsu+668XJr7LvvvjEIgNa0e6b1Sy65pLLPr371q7GqeZU9VNHwAU3R8AEAMJDjjz8+bjffdM8998S2/GyxxRax997yvcW99957Y781ZsyYEYOapOGDNA1fF2rfTOuZafgAiqyAF44ev/3tb+M1pcyaNSs250fDB2kaPhJFvjoM7PDDD49X3Jdrr702xgGQVbtnWn/mmWdWXXXVZJ8f+MAHpkyZEmubV3lhVTR8QFM0fAAA9Ovss8+Oe803Pfvss7EtV2PHjo0n6C3fW9wbb7wx9tvbe97znhjRPA0fpGn4uk27Z1rPRsMHUFjFvHBU3Hzzze9973vjZS209NJLx7a8afggTcNHka8Odf3973+PF90XM+oCtGgQZlrfe++9K7tt8d8wKzupouEDmqLhAwCgb1XfQrH88svHhjb48Y9/HE/T28EHHxwj8vCb3/wm9tvbeuutFyOap+GDNA1fVxmEmdaz0fABFFNhLxyJ+++//6Mf/Wi8rIXWXXfd2NYGGj5I0/B1uSJfHRo0YsSIeOl9+dOf/hTjAGjSIMy0fuWVV1Z2u+2228aqrCr7qaLhA5qi4QMAoA+33357+lsoklvl2NAeZ511VjxTb6NHj44ReTjjjDNiv7218iwaPkjT8HWPwZlpPRsNH0ABFfnC8fTTT6+zzjrxshbafvvtY1t7aPggTcPXzYp8dWjcyJEj49X3ZZdddolxADSp3TOtv/TSS2uvvXay23e9611/+ctfYm1WlVdYRcMHNEXDBwBAtX/+85/pb6EYMWJEbGib3//+9/FkvW266aYxIg9HH3107Le3o446KkY0T8MHaRq+LjFoM61no+EDKJqCXziSm454WQsdcMABsaFtNHyQpuHrWgW/OjRujz32iAPox6zkvA9AkwZhpvXkN//Knn/605/GqhZUdlVFwwc0RcMHAEC19LdQbLXVVrE2kwMPPHDEQg899FCs6suLL74Yz9fbaqutFiPy8L3vfS/229sVV1wRI5qn4YM0DV83GMyZ1rPR8AEUSsEvHFXf7XHSSSfFhnbS8EGahq87Ff+2onE/+MEP4jD6MXXq1BgKQGMGYab1nq8V2HzzzWNVayp7q6LhA5qi4QMAoJf0t1B8/etfj7VZbbPNNpVdxZ/7t/7661dGpr3vfe+LzXnYeeedY7+9tfJvqRo+SNPwdbxBnmk9Gw0fQHEU/MJR9d0e11xzTWxoMw0fpGn4utBQXR3uvvvu73//+8lPV3L+P+OMM/785z/HhtaceOKJcST9uOGGG2IoAA0YhJnWX3311crnEW9/+9tvvfXWWNuaykutouEDmqLhAwDg/5f+Foq999471rbgE5/4RLKrJZdcMv7cv/6Si5dffjlGtKxqkqwesTkTDR+kafg62+DPtJ6Nhg+gIAp+4aj6bo/BvExo+CBNw9dthuTq8PDDD48dOzaeMiW5h40RLbjgggtid/0499xzYygA9QzOTOuHHXZYZeeHH354rGpZZYdVNHxAUzR8AACE9LdQ/M///E+sbcGcOXMWXXTRZG+bbrpprOpfz3fXV5kyZUqMaNnqq68eO00ZNWpUbM5EwwdpGr7ONvgzrWej4QMoiCJfOKq+2+POO++MDc2bPn165bUlYlU9Gj5I0/B1myG5Omy++ebxlDXOO++8GJTV9ddfH/vqx5FHHhlDARjQ4My0nvyOUdn/xhtvHKvyUNlnFQ0f0BQNHwAAb/jhD38Yt5WLLPKzn/0s1rZm0qRJlR0edthhsap/L7744n/8x39Uxqddnd8HWUsvvXTsNOWSSy6JzZlo+CBNw9fBhmqm9Qw0fABFUOQLx69+9avK3ioefPDB2JBJcn2p7OeAAw6IVfVo+CBNw9dVhuTq0N8NQo9JkybF0EyuuOKK2FE/zjzzzBgKQP8Gbab1uteFwRSvCWAhJwUAABacc845ccu4yCInn3xyrG3ZeeedV9nnlVdeGasGtMUWW1TGp5144omxuWWxx96ee+652JyJhg/SNHydaghnWs9Awwcw5Ip84bjlllsqL6ziscceiw1ZnXnmmZVdXXrppbGqHg0fpGn4usdQXR1GjRpVedL+tHjTetppp8WO+uGHGaCuwZxpXcMHFJaTAgBAt7v55pvjfnGRRU4//fRYm4dvfetbld3ef//9sWpA559/fmV8Wuv/WXbFH//4x9hjSosT6SY0fJCm4etIQzvTegYaPoChVeQLxz/+8Y+e7/ZI9vnkk0/GhhYceOCBlR0+/PDDsaoeDR+kafi6xBBeHYYPH1553v7suuuuMTSTH//4x7Gjfvztb3+LoQD0YzBnWtfwAYXlpAAA0NWeeOKJuFlcZJGzzz471uZk1VVXrex5zpw5sWpA8+bN+8///M/KQ3oMGzYsNrfm+9//fuwxpfVmUcMHaRq+zjPkM61noOEDGEIFv3D0fLfH+973vhkzZsTa1nz5y1+u7HP+/Pmxqh4NH6Rp+LrB0F4dKsMG0GIsstdee8WO+vKOd7xj3rx5MRSAvgzyTOsT22DEiBGVJ60ybty4GNGPeE0AC2n4AAC6Ws+3UJx33nmxKidXX311Zc8f+tCHYlUD+vxvl//85z/H5hasvfbasbuU1v9LaA0fpGn4OkxBZlpvloYPYKgU/MLR890eH/3oR5955plY27KPfOQjyT6XWWaZ+HMDNHyQpuHreEN+dVhppZUqI/tzxBFHxNBMtt9++9hRX1ZdddUYB0Bfhmqm9XwN0PDFCIAGaPgAALpXz7dQXHDBBbEqJ7NmzfrSl75U2fnIkSNjbQMefvjhxRZbrPLAHsccc0xszio9X3CPXO6fNXyQpuHrJMWZab1ZGj6AIVHwC0fPd3usvfbaL7zwQqxtWXL/Utlt8jtPrGqAhg/SNHydrQhXh80337wysj9XXHFFDM2kv26jYuzYsTEOgBpDONN6vjR8QC40fAAAXepTn/pUz21kXvbaa68ddthhk002SXd4yfp4ysZ897vfjUe+abPNNottWe2zzz6xrzclN9WxrTUaPkjT8HWMQs203qzkulPZfxUNH0D7FPzC8bWvfa2yh8997nP//ve/Y20ekoOt7Pnwww+PVQ3Q8EGahq+DFeTqsMcee1RG9qnFfyB69tlnY0f9uPvuu2MoAL0N7Uzr+dLwAbnQ8AEAdKP0F9S3269+9at41sY8//zza6yxRjz4Tc3uJO2ll15afvnlY0dvyqvk0PBBmoavYxRtpvWmaPigmGb2Zfbs2bGZkivyheOwww6r7GHLLbd85ZVXYm1Okl91Kju/5JJLYlUDNHyQpuHrYAW5OpxyyimVwbWGDx8eg7I6//zzY1998SV80KJXX3017hx6S9bHCEpryGdaz5eGD8iFhg8AoOscfPDBcQc5KG699dZ44oZdccUV8eA3rbXWWnPnzo3NTTryyCNjL2/K8c5ZwwdpGr7OUMCZ1pui4YMCmjdvXuWiUOXiiy+OEZRZkS8cZ511VuXh22yzzfz582NtTm6//fbKzhNNfc2Shg/SNHydqjhXhxdeeOFDH/pQZfx//Md/DBs2bPjw4euvv/6pp54aI1rw1a9+tbLnPvkSPmjR5MmTKxeFKnUn0abgijDTer40fEAuNHwAAN3ljDPOiNvHwTJjxox47mbUFhhHHXVUbGvGhAkT4vFvymsW3QoNH6Rp+DpAYWdab1yy53iO3q5WRsDQ0fB1sCJfOG666abKY0eOHFnZc+sOPPDAMWPGbL311qusskpl5xXPP/98PGsDNHyQpuHrSEW7Ohx00EHxgEUWueOOO2Jty5599tklllgi9lvDl/BB6zR8HakgM63nS8MH5ELDBwDQRf74xz/GveNgSe6Z47mbl9zfxl7e1NQEVYl///vfb3vb2+LBC62//vqPPPJIbM6Dhg/SNHxlV+SZ1htXe/mo8M+mMIQ0fJ2qyBeOxx57LB7Zfh/72MfiWRuj4YM0DV/nKeDVYfLkyfGARRZ597vf/cQTT8SG1hx33HGx0xof+chHNEbQOg1fRyrITOv50vABudDwAQB0iylTpsSN4yDaZptt4ukzaTHjW2GFFeJhC2277bYvvPBCbMuJhg/SNHylVvyZ1hu05557xnP0tsMOO8QIYNBp+DpSwS8c8bBB8ZWvfCWetTEaPkjT8HWYwl4dfvrTn8ZjFllkzTXXfOmll2JDVvfee++iiy4ae+xtiSWW8AMMudDwdZ7izLSeLw0fkAsNHwBAt+jve4naar/99ounz6r2ZZ9++umxrX+TJ0/+wAc+EA9Y6Fvf+lZsy5WGD9LOOuusX9S48cYbYzMFVpaZ1uuaOHHi8OHD4zl6W2yxxdoXDgID0/B1noJfOHq+22NwHHzwwfHEjdHwQdqLL74Ydw69TZ06NUZQHgW/Ouy8887xsEUW2Wqrrf71r3/FhkzWWWed2FeNSy+9NAYBrdHwdZiizbSeIw0fkAsNHwBAt9huu+3ixnEQnXTSSfH0LUhudJdffvnY40Jrr732ACXfUUcdFeMWeutb33rooYfGtrxp+IAOUK6Z1vv06quv3njjjcn1Ip6gH6usskojITiQOw1fhyn4hSO5WYiHDZYzzzwznrsxGj6gI5XituJzn/tcPHiRRVZcccWf//znsaFJJ5xwQuylxmmnnRaDgJZp+DpJAWdaz1F/Dd/uu+8eIwAaoOEDAOgW44bCddddF0/fmqeffvqYY475+Mc/Hve+C6299trbbLPNrrvuesghh4wdO/YLX/jC8OHD3/Wud8XmRRZZbrnlDjrooClTpsRe2qDS8G266aYbbbTRZz7zmeQ1JH/U8AElUqKZ1pPLyoh+vPWtb41dN2DxxRdffvnl11xzzXhwb8mzxPPlZPr06bfffvsDDzzw/PPPxyroPhq+TlLwC0d/M6q3VbMTJlYavi23nPf5zz+x4Ya3f/azUzfffJaGDyi1Et1WHH300fH4hdZdd91m53M85ZRT4sE1fvKTn8Sg1sydO/fRRx+dOHHiI488Mnv27FgL3UfD1zEKO9N6Xkb00/Btu+22MSI/yXXhoYceSq4RyZUiuV7EWqAjaPgAACiN5O50/Pjxa665ZtwB9++Tn/zk8ccfP3PmzHhkG/zmN7/Zcsstl1xyyUUXXTSedaG3vvWtyy677JgxY5r9JA9gSIwrz0zrg/NSc2n4Lrzwwi222GKVVVZJz+SSeN/73rfGGmt885vfvOWWW2IodAcNXycp8oXjlVdeWWqppeIxg+jxxx+PV1BPckdz0kknrb/+fy+++Ef+3/97Szx+obe/fZmVV/7UwQcf3Nb/BgmgTUp0W5G44YYb3vKWXifhL3zhC8kh/OEPf4gR/XjggQf6m+Ziyy23bPEfgp5++umf//znG2644QorrBA7fdNyyy33qU996rDDDvvb3/4Wo6E7aPg6Q8FnWm/dvffeu8QSS8Rz95asnzRpUoxrQXL+T64C66yzzrLLLhu7flNy1UiuHckVJLmOxGigtDR8AACUzwMPPHDZZZcdccQRO+2009prr7344ouvuOKKW2211SGHHHLBBRe0+x9xJkyYsNFGG8Ut8oA222yzwf/efoCmlGim9eI3fP/85z+PP/74RlrzxPbbb5/Xt9VC8Wn4OkmRLxyPPfZYPGAQrbzyyvH0A5oxY8aRRx6ZDI6H9W/RRRf9xje+cf3118cjAcqgRLcVFQ899NDnP//52FHKu971ri984Qs//elPb7vttuSy8sorrzz88MOXXnppcpuwww47LLnkkjEuZdVVV50wYULsN5NJkyYdeOCByy23XOyxf8nL23vvve+99954JHQ6DV8HKMVM65ndfffdP/vZz97znvfEc/dl0003veyyy+IBzUvO+cmZPz37UH+S60hyNcklGQSGioYPAAAa9ac//anBei9t44039l0aQGGNGwrZ2rV4cG/HHXfc6aeffsEFF1x99dUTG5OMTMYnj0oeG3vpLZ6vSeeff/6KK64Yp/6G7bzzzq+++mrsAjqXhq+TxLlycDV44bjtttviAYMrnr5/Z5555oc//OE49TdszJgx8XiAwosT4uBq8T+JmTt37s9+9rP+Zj9sxBprrJG8jFmzZsUeMzn88MNjd8047LDD4vHQ0TR8ZVeimdbrSq4XVT74wQ/GUzZg8cUXj4f1Fnvvx89//vN4fDOSK0s8HigbDR8AADTkiCOOiJvg5r397W+/5JJLYkcAdJzvfve7ccZv3jLLLHPjjTfGjqBDafjoZttvv32c8Zu3yiqrTJ8+PXYEQHtMmTJl3Lhxq666apx861luueX23HPPiRMnxuNbsPnmm8dOm7fuuuvOnj07dgQdSsNXdsnZNc5ZgyjzTOsDG9FC892fARq+uXPnfvWrX41xzUuuL7EjoFQ0fAAAUN8XvvCFuP1twbgW5mcEoLA22WSTONG3wDWCzqbho2v1Oetis+66667YHQDtNGXKlIsuuujYY4/99re/nfyisvrqq7/73e9OzuT/9V//9ZWvfOWQQw4566yzckn3KpKdx4m+Ba4RdDYNX9mVbqb1AQxmw3fLLbfEiBYkV5nYHVAeGj4AAKjj2GOPjRvflt12222xUwA6gmsENELDR3fK8XO+FidqBKBoXCOgERq+shs3FFqcab0/sfeFjj322FNPPfX888+/6qqrJjYmGZmMTx6VPDb2slDsPeXpp5+O83vLBvieP6CYNHwAADCQq6++Om55c/LYY4/FrgEoOdcIaJCGjy505JFHxsk9D1/84hdjvwCUn2sENEjDRxf65Cc/Gef3PCRXnNgvUAYaPgAA6Nfdd9/9zne+M+53c7Lpppu+8sor8QQAlJZrBDROw0e3mTBhQpzZ87P//vvH3gEoM9cIaJyGj26z2267xZk9P8l1J/YOFJ6GDwAA+jVq1Ki4082V//oNoAN8+ctfjtN6ro499th4AuggGj66ymuvvbbCCivEaT1X119/fTwHAOX0/PPPL7/88nFaz9XEiRPjOaCDaPjoKrfddluc03OVXHeSq088B1BsGj4AAOjb3//+97jNzdvw4cPnzZsXTwNACd1+++1xTs/bOuusE88BHUTDR1c599xz45yet2984xvxHACU0/jx4+Ocnrc999wzngM6iIaPrnLwwQfHOT1vydUnngMoNg0fAAD07aijjop73DY455xz4mkAKKG99torTuhtcPvtt8fTQKfQ8NFVvvjFL8YJPW+LLrrolClT4mkAKKH11lsvzul5W2qppeI5oINo+Ogqyy23XJzT85ZcfeI5gGLT8AEAQN9WW221uMdtg0022SSeBoCyeeKJJ97znvfECb0NvvOd78QzQafQ8NE9nnnmmTibt8fBBx8czwRA2Vx22WVxNm+PZP/xTNApNHx0j6uvvjrO5u3hGgGloOEDAIA+vPDCC3F32zann376hUW1777/t/32k7/xjb+ccMLVsarMLrjgor33vnW77e7fbbe7Tj31ilhbZr/85WVjx941cuT9u+9+x9lnXxpry2z8+CvHjPlzckTJz16sKrljj73261+/J/l7dMABN8eqkvvxj6//6lfv22GH+8aN+2OsKrnvf/9/v/KVSTvvfM+xx14Xqxq27777xqm8PVZYYYV4pmbsv/+fRo6cvMsud5944lWxqszOOeeS5BSXnBa++c27zjzz8lhbZqeffvk3v/nGiW6PPW4/99xLYm2ZnXji1cnPW/JTl/zsxar+/frXv16rL/vss0+MKICjj/79Tjvds8MOkw4+eGKsKrnkjJ2ct3fc8b7DD78+VpVc8sOWXFuTK+xPf/q7WFU8e+99YJzN28OU6wDl1e77iGT/8UzQKTR8dA/XCCCh4QMAgD5Mnjw57m7bZqONNop/diqSzTff/qMfvWzppe/sWT796UNiWzltttlXP/KRK3oOZ7nl/u8zn9k7tpXTZz+7x7BhE3uOaPnlb9xkk11iWzltuOH+yyxzR88Rfexjl3zxiyNjWzmts84RPYeTLCuvfFFsKK011zw+fURrrHFibCinLbbY9uMf/3X6iJL/y2JbY4YPHx6n8vZ429veFs/UmC233GbllS9IH9EGG3w/tpXT5z+/y/LL/7HncIYNu/mzn909tpXTZz6z13LL/anniD70oes33fTrsa2ckp+xnsNJluQncIsttoltfdlyyy2X7svaa68dI4baWmv9NH1Eq6zyq9hQWsm5On1Ea611fGwopy222O5jH7s4fUTrrjsuthVJ8pvne9+7e5zN2yP5ixN3LACUzXbbbRdn8/ZI9h/PBJ1Cw0f3cI0AEho+AADowzXXXBN3t22zzjrrxD87Fcbmm2+/4opXpz8crSwbb/ytGFE2CwO+K6sOZ9iw/03Wx4iy+exnd19uuVuqjujDH75uiy22jRFls+GG+1cdTrJ84hPnxuYS+q//OrrqcJJl9dVPic0lVBXwVZZPferHsblskr8sVRVIZdloo31jRAM+8pGPxKm8bb74xS/Gk9WzMOC7qOpwkuVzn9s1RpTN5z+/ywc/+P+XypUlWZNcpGJE2XzmM99Zdtlbq45ohRV+F5tLqCrgqyzDh58Vm/tS8IZvzTVPqDqcZFljjZ/H5hL65Cd7BXyVZb31fhCby2aLLbb76EcvrzqcZPnMZ/aKEcWwxRZfTv5qL7741+JU3jYvvvhi3LQAUCrrrLNOnMrbw3e10nk0fHQP1wggoeEDAIA+nHLKKXF32zarrbZa/LNTMSwM+K6p+mS0snzyk+NjUKn0GfBVlrXXPjYGlcrGG/cR8FWWkn65YJ8BX2XZeOPdYlCp9BnwJcuyy976pS9tFYNKpc+AL1k+9KHrY0Sp9BfwJcsnPnFODGrAcsstF6fytvnsZz8bTzag/gK+ZClpObrJJn0EfJXl058+NAaVSp8BX2Up6ZcL9hnwVZYBvhe2yA1fnwFfsiQ/ijGibPoM+JJlhRWuiRGlsjDg+/+/Uzm9DB9+RgwqhlVWOTd5VYst9vk4lbfNlClT4qYFgFJJfvmJU3l7JPuPZ4JOoeGje7hGAAkNHwAA9OGoo46Ku9u2+cQnPhH/7FQAm2++/Uc+clX6M9H0MvA36xTTAAFfspQxbfnsZ/foL+BLlg02OCjGlccAAV+yNPWlaAXRX8BXWb74xe1iXHn0F/AlyzLL3B6DymNhwNd37pYsH/vYJTGuAR/4wAfiVN42G264YTxZ/wYI+JJllVXOi3Hl0ec38PUszU55XAQDBHzJ8t//vV+MK48BAr5kGTHi2zGuRmEbvv4CvsoSg0qlv4AvWYYN+1MMKo8ttthupZUuqzqQnuXjH/91jCuAnl8D3va29eJU3ja333573LQAUCqLLbZYnMrbI9l/PBN0Cg0f3cM1Akho+AAAoA+//vWv4+62bdZaa634Z6ehNnDAlyzrr1+yPmzggC9ZNtzwgBhaEgMHfMsue+tmm30lhpbEwAFfcrClK94GDvg+9rFLY1x5DBDwJUvp+rABvoGvsjTVh334wx+OU3nbbLLJJvFk/Rg44EuWddf9UQwtic9/fpdhw/oN+JJlgO94K6bPfOY7VYeQXhae6EbG0JIYOOD74Acnbrllv184WsyGb+CAr1B9WIMGCPiS5T//s2T/VcbCb+DrN+BLlnXXHRdDh9pnPrP3MsvEq3rHO7aJU3nbTJ8+PW5aACiVVVZZJU7l7bHyyivHM0Gn0PDRPZJzeJzN28M1AkpBwwcAAH34v//7v7i7bZsNNtgg/tlpSA0whW5lWWml38TQkqgb8K266ukxtCQGmEK3sqyzzk9iaEkMHPAly3rrHRZDS2LggG+ZZW7//OdL1h4NHPB98IM3laumqhvwrbDC77bccusY3YB2f/b2//7f/4tn6kfdgG+VVX4VQ0tigCl0K8snP3liDC2Jgb+BL1nWW++HMbQkBg74kmXg4r+ADd/AAV/yf9+mm+4UQ0ti4IDvQx+6/gtfKNMRDTCFbmX5yEeuGiAbHUybbvr15Zb7U88L+4//+FaczdvD92cAlNdmm20WZ/P2+PznPx/PBJ1Cw0f3SM7hcTZvD9cIKAUNHwAA9OHvf/973N22zec+97n4Z6eh88Uvjhw44Pvwh6/dfPMyfcFb3YBv+PAzY2hJ1A34Fh5RIT7AblDdgK90Xx5WL+C7o3Tf+1g34Nt447ExtAzqBnzLL39Ds6XOmmuuGafy9lh88cXjmfpSN+D7+MfPj6ElUTfgS463qchyyI0YsefAAd9qq50WQ0uibsBXt70uWsM3cMC3zDK3f+Yz+8TQkqgb8H3+82NiaBnUDfgWJok7xughtcUWX15hhWvTr+3d7/5hnM3bY5VVVok7FgDKZrfddouzeXuMGTMmngk6hYaP7pGcw+Ns3h6uEVAKGj4AAOhb3N22x9JLL/3yyy+/PqT+/e/Xv/vdBV/6Ur/L7rsveOGFGFwKzz5b54h+9rMYWRbTpr0+alT1UaSX5Ijmz4/BpXD77a9XHULVcs01MbIsLrlkoCPaeusFt94aI8vivPMGOqKdd17w0EMxshTmzn390EOrjyK9jB694J//jMGN++Mf/xhn8/YYMWJEPFONV199/Qc/qD6K9PKjH8XIsnjiidd32qn6KNJLcryvvRaDS+Gvf3195Mjqo0gv48fHyLL405/qnLqvvz5GDuC1116LT9t6u+iii2LEIDrnnIGOaJttFtxzT4wsi1/+cqAj2nXXBY8/HiNLYc6c1/ffv/oo0ktyRE8/HYOH3BFHVL/5668/Mc7m7bHFFlvE7QoAZTNu3Lg4m7dHsv94JugUGj66h2sEkNDwAQBA38aOHRs3uG2w3377xdMMkdmzF9QN+F58MQaXwnPP1TmiE06IkWXx4IMLBg74kiN6/fUYXBA333zz9TWmTJlS2XrHHdWHULX87neVgaVx5ZXVh5Bett56wW23xciy+NWvqo8ivey884KHH46RpfDKKwvqBnz/+lcMbtZGG20UJ/Q2uOCCC+JpenvttTeCtqqjSC8//nGMLIsnn1wwcMD3ox8tmDcvBpdCcsIbOOA76aQYWRb/93/Vh1C1/PGPMXJg8+bNi0/berv44otjxGA599zqQ0gv22yz4N57Y2RZnHVW9VGkl113XfD3v8fIUpg7d0HdgO+ZZ2LwkLvssuqXV1ne+c6V44TeBhdeeGE8PXSKOXPmxJ1Db0899VSMgE7x8MMPL7744nFCb4PHHnssngk6hYaP7pGcw+Ns3gbJ1Se5BsUzAQWm4QMAgL5NnNjGr9C455574mmGgoCv+MoY8CVGjx4d/5iaMn78+GSTgK/4BHxNOeOMM+KEnrclllhidnKariHgKz4B3wAK0vAJ+Apu7twF3/9+9VGkl0IFfPfdt2CrrapfYWUZPvyYOKfnbc0114ynhw4yY8aMuCr0dtNNN8UI6CDtm043+VsTzwEdRMNHV0l+tuOcnrfk6hPPARSbhg8AAPq19tprx21urnbYYYd4gqEg4Cu+kgZ8if4aPgFf8Qn4mjV79uyVVlopTuu52mOPPeI5Ujov4HvqKQFf0eUY8CWK0PAJ+AquXAHfzJkLkt/oq15hz3L66Q/EOT1vxx9/fLwC6CAaPrrKzTffHOf0vE2YMCGeAzqIho+ukpzJ45yet+TqE88BFJuGDwAA+jVu3Li4zc3VNddcE08w6AR8xVfegC/RZ8O3//6XVB1C1dJhAd822wj4htggBHwVbbpGXHvttfEEb+rIgO/rX68+ivQi4Bty+QZ8iddff/2PfXn00UdjRJsJ+AqubsC3224FCviSV7vXXtWvsGc57rg3xmy77bZxWs/PRz7ykX/+858LXwJ0FA0f3aZN14hninOlhPw899xzcefQW7I+RkAHSc7kyfk8zuz52W677eIJgMLT8AEAwEC++MUvxs1uTg4++ODY9aAT8BVfqQO+RG3Dt+GG+6+66qNVR5FeOi/g+/OfY2RZCPhaMQjXCAFf8Qn4ik/AV3CNBHzPPx+Di+DII6tfYc+S/Gr66qtvjHniiSeGDRsWJ/ecXHTRRQufHzqNho9u4xoBQH+S83mc2XMyfPhwkTeUiIYPAADqeP/73x+3vC373Oc+FzsddHUDvm9/W8A3xMoe8CWqGr4NN9x/6aXvHKDhE/ANOQFf69p6jRDwFV/dgO+002JkWQj4ik/AN7SuuKL6FfYsO+644NlnY1ji+uuvj/N7Hg488MDYL3QcDR9dyDUCgP4kZ/U4v+dh8uTJsV+gDDR8AABQx7Rp0+KWtzVLLLFE7HHQNRLwvfRSDC6Fzgv4Hnmk9AFfIt3wVQK+ARo+Ad+QE/Dlon3XCAFf8Qn4ik/AV3ClC/j++tcFW21V/SIry9Zbv7G1yvjx4+Ms35qtk71D59Lw0Z1cIwDoT3Juj7N8ay655JLYI1ASGj4AAKjvH//4x4orrhj3vplsuummsa9BJ+ArvkceWbDDDtVHkV5KEfAlehq+noCvv4ZPwDfkBHw5evzxx5dccsk43Wey3Xbbxb7eJOArPgFf8Qn4Cq50Ad/MmW98017Vi+xZkl8V+nTdddfFuT6rQw45JPYFHUrDR9e6/PLL41yf1RFHHBH7AqCzJGf4ONdndfLJJ8e+gPLQ8AEAQKMOO+ywuANu0rHHHhu7GHQCvuLrmIAvUWn40gFfnw2fgG/IdVjA99prQxnwVcybN++b3/xmnPSbdM4558Re3iTgKz4BX/FdcEH1IaQXAd+QK13A9+qrC/baq/pF9izHHRfD+vTPf/5zhx12iJN+M972trf99re/jb1A59Lw0c0eeOCB9ddfP877zVh11VVvueWW2AsAnSg5zydn+zjvN2OllVaaOHFi7AUoFQ0fAAA04Ve/+tW6664bd8MN2GCDDX7961/HgwedgK/4OingS4wePboq4Ktt+AR8Q67zAr4f/rD6KNLLIAR8PcaNG7fSSivFBaABW2+99e233x4PfpOAr/gEfMV36aXVh5BeBHxDrnQBX+K446pfZM+y115vFH51JdeID3/4w3EBaMCXv/zlP5fulwzIRMNHl3vxxRf32GOPJZZYIi4A9bz97W//1re+9fTTT8fjAehcydk+OecnZ/64BtSTXE2Sa8rMmTPj8UDZaPgAAKBpv/71rzfZZJO4M+7HqFGjruxvSq1BIeArvg4L+BJbbPHjqoAvWdINn4BvyHVbwLfrroMX8FXMnj37jDPO2GijjeJi0I+dd965z4+lBXzFJ+ArPgFfwZUx4Bvg94Edd3xjjt0GPffcc8cff/xqq60WF4O+vOc979lrr71qC2/oYBo+SDz66KOHH374xz/+8bge9GWppZY64IADHnjggXgMAN0hOfMn5//kKhDXg74kV5DkOpJcTeIxQDlp+AAAIKMbbrhhwoQJyb3x7rvv/qUvfWmrrbbac889jzrqqF//+tdD/p0ZAr7i67yA7447Fiy//L1VAV+y9DR8Ar4h14UB3zPPxODBl1wjzj777HHjxu26665f+MIXRo4cuc8++xx77LEXXHBBf9cIAV/xCfiKT8BXcGUM+P761wVbb139OivLVlu9sbVZ8+bN+93vfnfaaacddthhu+yyy6abbjpq1Kh99933hBNOuOyyy5544okYB11Dwwc95s6de80115xyyikHHXTQTjvtNGLEiK997WsHHHDAiSeeePnllz/55JMxDoDuk1wFkmtBckVIrgvJ1SG5RowePXrcuHFnnHFGcn+RXEFiHFBmGj4AAOg0Ar7i68iAL3nZAzR8Ar4hJ+ArOAFf8Qn4ik/AV3BlDPieffaNb9qrep09y2WXxTCgFRo+AACAhIYPAAA6yssvC/iKrm7Ad9JJpQz4kqW/hk/AN+QEfAUn4Cu+Bx8U8BXdwAHfl78s4BtiZQz4Xn11oN9CjzwyhgEt0vABAAAkNHwAANA5Xn55wf77V3++mF46L+D7+c9jZFk0EvCVS0/Alyx9Nny7735VDC0JAV/BCfiKryMDvlGjqo8ivQj4hlzdgG/y5BhZFgK+IjjuuOrX2bPssccbBwXkQsMHAACQ0PABAECHEPAVX2cHfMlS2/Ctu+6Pxo8fH6PL4Nprex1R1SLgG3ICvuIT8BWfgK/4Oizge+WVUgZ8V19d/Tp7luTXuRkzYhjQOg0fAABAQsMHAACdQMBXfB0f8CVLVcO37ro/+tKXvlSihk/AV3ACvuIT8BWfgK/4Oi/gO/TQ6qNIL8UM+P761wVbb139UivLVlstuO++GAbkQsMHAACQ0PABAEDpCfiKrxsCvmRJN3yVgC9RloZPwFdwAr7i+9e/BHxFJ+ArPgFfETz77IIdd6x+qT3LRRfFMCAvGj4AAICEhg8AAMpNwFd8XRLwJUtPw9cT8CVK0fAJ+ApOwFd8//rXgl12qT6K9CLgG3ICvuIT8BXBq68O9ItocioDcqfhAwAASGj4AACgxAR8xdc9AV+yVBq+dMCXKH7DJ+ArOAFf8Qn4ik/AV3wCvoI47rjql9qzJK85+d0byJ2GDwAAIKHhAwCAshLwFV9XBXzJsvzy91YFfImCN3wCvoIT8BVf3YDvyCMFfENMwFd8Ar6C+N3vql9qz5KcFp58MoYB+dLwAQAAJDR8AABQSgK+4nv88e4K+JLl85//WXzgllLkhk/AV3ACvuJrJOCbPz8Gl4KAr/gEfAVX3oBv2rQFW29d/Wp7ltL9SgAlouEDAABIaPgAAKB8BHzF9/jjC3bcsfoo0kvnBXy/+92C0aNHxwduKYVt+AR8BSfgKz4BX/EJ+IpPwFcQzz67YKedql9tz3L++TEMaAcNHwAAQELDBwAAJSPgK77uDPgSJWr4BHwFN2+egK/oBHzF13kB35VXVh9CehHwDbm6Ad/uuxc04EsuOgP8LpqcvV9/PUYC7aDhAwAASGj4AACgTAR8xde1AV+iLA1f3YDv3ntjZFl0XsB3+OHVR5FeBHxDTsBXfAK+4uvCgO/FF2Nw0Zx4YvWr7Vl2223B7NkxDGgTDR8AAEBCwwcAAKVRN+DbZx8B3xDr5oAvUYqGT8BXcAK+4uvCgO/ss2NkWQj4ik/AVxzXXVf9anuWkSMXPPlkDAPaR8MHAACQ0PABAEA5NBLwletrQgR8xddUwJcofsMn4Cs4AV/xCfiKT8BXfAK+4pg27Y2rf9UL7lluuy2GAW2l4QMAAEho+AAAoAQEfMUn4EsUvOET8BWcgK/4BHzFV9iAb/78+Sf25a677ooR/RDwFVypA74XXliw007VL7hnmTAhhgHtpuEDoD9PPvlk3Dn0Nn369BgBAB1EwwcAAEUn4Cs+AV9FkRs+AV/BCfiKT8BXfEX+Br558+bFVaG3iy++OEb0RcBXcKUO+JLrzve+V/2Ce5aDDlrw+usxstRmzZo1sYTuu+++p59+Oo6BLqDhA6A/kydPjqtCb/fff3+MAIAOouEDAIBCmztXwFd0Ar4ehW34BHwFJ+Arvs4L+B55RMA3qDI0fAK+git1wJc4+eTqF9yzjBmzYNasGFZ2a6+99iKlNSb5f4LuoOEDoD8aPgC6ioYPAACKa+7cBd//fvXHiulFwDfkBHxpxWz4BHwFVzfg2203Ad8Q68iAb4cdqo8ivQj4ctdswyfgK7iyB3zJ34iqF9yzJD9dyW93neH000+PGq6cllpqqTgSOp2GD4D+aPgA6CoaPgAAKCgBX/EJ+KoUsOEb4EP6ZBHwDblGAr7nn4/BpSDgKz4B35BoquET8BVccqIrdcCXnASSXwCqXnPP8r//G8M6wGabbRY1XDmNGDEijoROp+GDdjCdOp1BwwdAV9HwAQBAEQn4ik/AV+vZZ599usZLL70UmwfdH/+4YKutqo+iZxHwDTkBX/EJ+IqvFAFfovGGT8BXcMmJ7oc/rD6K9FLwgO+FFxZ84xvVr7lnOeOMGNYBHnzwwUjh+rLccsttuOGGX//61w8//PBLL730lltuueeee6ZNm/bEE08kv7zN7us246mnnkr+zsbj+/KLX/wihg5o1qxZf//73++7776JEyceddRRO+644+KLLx676G3s2LHxGDpdco2o3DhUmZvcFQNZmU6dzqDhA6CraPgAAKBwBHzFVzfgO+20GFkWrQd8RSPgKzgBX/E984yAr+jKEvAlGmz4Bg74tttOwDfEyh7wJaes732v+jX3LAcdVLJz2sBOOOGE6CBSll9++X322efmm2+OQU367ne/GzuqsWPym3FWt95665prrhk7SjnuuONiBABNMp06HUPDB0BX0fABAECxCPiKT8BXfAK+ghPwFd8zz7xRF1UdRXoR8A25EgV8iUYavroB39SpMbIsBHxFc+qp1a+5Z/nGNxbMmhXDOsMmm2wSHcSbfvrTn7b47chrrLFG7KvGNddcE4MySV7Y1ltvHft605XJSQGATEynTsfQ8MGgMQk7FIGGDwAACkTAV3wCvuIT8BWcgK/4BHzFV66AL1G34RPwFVwHBHzJX4qq19yzJL8bJGeJTvLAAw9EBPGmP/zhD7Etq+effz72VWOllVaKQS245ZZbYndvmlq6v/YAxWA6dTqJhg8GjUnYoQg0fAAAUBQCvuIT8BWfgK/gBHzFJ+ArvtIFfImBGz4BX8F1QMCXnAeS3wGqXnbPUsC/Mi067rjj4rOshS688MLY0ILf/va3sbsauyY/03k48MADY4+LLLLooovO76S5jQEGkenU6SQaPhgcJmGHgtDwAQBAIQj4iu/JJwV8RSfgKzgBX/EJ+IqvjAFfYoCGT8BXcB0Q8L3wwhtT5Va97J7llFNiWCfZeOON47OsRRYZN25crG3NAPXGWckPfR7+8pe/xB4XWWSVVVaJtQA0yXTqdBINHwwOk7BDQWj4AABg6An4iu/JJxfstFP1UaQXAd+QE/AVnICv+AR8xVfSgC/RX8N3wAH/V3UI6UXAN+Q6IOBLzlrf+171y+5Zkk3J5anD3H///fFBVn4BX6LP70mqeOCBB2JQa1588cXY4yKLbLnllrEWgGaYTp0Oo+GDQdABk7Dvueee8RgoOQ0fAAAMMQFf8Qn4ik/AV3Dz5wv4ik7AV3zlDfgSfTZ86647bu21/1F1FD2LgG/IdUDAl0h+Sat62T1L8tvdCy/EsE5yzDHHVD7HWnbZZWNVy1544YXKPmutuuqqMSgPH/rQhyq7/W5yOwFA80ynTofR8MEg6IBJ2E866aQYASWn4QMAgKEk4Cs+AV/xCfgKbv78BUcfXX0U6UXAN+TqBnzHHivgG2KlDvgStQ3fuuuOW3rpO/tr+AR8Q64zAr7//d/ql92zJL8eTJsWwzrMZz7zmcrnWMcdd1ysatmVV15Z2WetsWPHxqA8jBgxorLbUzpykmOA9jOdOh1GwweDoAMmYb/ppptiM5Schg8AAIaMgK/4BHzFJ+ArOAFf8TUS8L3+egwuBQFfAVU1fJWAr7+GT8A35Doj4EtOBV/+cvUr71muvTaGdZj77ruv8iHW8OHDY1Ue9t1338pua02YMCEG5WH11Vev7PaGG26IVQA0zHTqdB4NH7RbZ0zCPmPGjNgGJafhAwCAoSHgKz4BX/EJ+ApOwFd8Ar7i64CAL5Fu+HoCvj4bPgHfkOuMgG/WrAXf+Eb1K+9Z8vt+usI58sgjKx9i5ZhuJNZaa63KbmtNy/X7DIcNG1bZ7RNPPBGrAGiY6dTpPBo+aLcOmIT9ve99b6yF8tPwAQDAEBDwFZ+Ar/gGDvi+/GUB3xAT8BWfgK/4OiPgS/Q0fOmAr7bhE/ANuboB37e/XYKAL7kAHXRQ9SvvWZJfWV99NUZ2ng033LDyOdaUKVNiVcvS341UZfXVV49BOXnHO96R7Pb9739//BmAZphOnc6j4YN264BJ2JOboFgL5afhAwCAwfbKKwK+ohPwFV/dgG/y5BhZFgK+ghPwFd/jjwv4iqvS8FUFfFUNn4BvyDUS8L30UgwusjPPrH7lPcuOOy549tkY1nl6PscaNWpUrMrDVVddVdltrd133z0G5eGZZ56p7Ha99daLVQA0zHTqdCQNH7RVZ0zCnm9TDkNLwwcAAIPqlVcWHHpo9aeJ6WW//QR8Q0zAV3wCvoIT8BVfRwZ8O+5YfRTp5YILYmRZdFLAl5g3b15twJcsPQ2fgG/IdUzA97//W/3Ke5att17w17/GsI50+OGHVz7EuuSSS2JVHvbbb7/Kbmude+65MSgPt912W2W3OyW/iwPQJNOp05E0fNBWnTEJ+89L9/ED9E/DBwAAg6eRgO/ll2NwKQj4iq/zAr6JEwV8hSbgK74uDPguvzxGlkWHBXyJa66ZX1XvVZZKwyfgG3Lz5nVIwJecDZLfBKpefM9y5ZUxrFOtv/76i+T99UuJtddeu/LZWK2HHnooBuVhwoQJld3mW58AdAnTqdORNHzQVp0xCfv1118fq6D8NHwAADBIBHzFJ+ArPgFfwQn4ik/AV3ydF/Bde+2CLbd8vareqyxrr/0PAd+QmzdvweGHVx9FeilLwDdr1oIxY6pffM+S32dSBXXXXXdVPsHKN4B76aWXKruttcYaa8SgnBx88MGVPf/617+OVQA0xnTqdCoNH7RPx0zCPn369FgF5afhAwCAwSDgKz4BX/EJ+ApOwFd8yalbwFdwHRnwJS+7v4Zv3XWfFPANrY4J+JJz10EHVb/4nmWvvRa8+mqM7FTjxo2rfIKV49cvJa6++urKbmvtueeeMSgn2223XWXPd955Z6wCoDGmU6dTafigfTpjEvZ3v/vd8WfoCBo+AABoOwFf8Qn4ik/AV3ACvuJLTt1jx1YfRXoR8A25Tg34kqXPhm/ZZW/92c+ujaElIeArrAH+r9lhhwUzZ8awDlaZ8Tbfr19KfO9731v4cVsffpX8KpOrNdZYo7LnZ599NlYB0BjTqdOpNHzQPp0xCfunP/3p+DN0BA0fAAC0l4Cv+AR8xSfgK7i6Ad/uuwv4hpiAr/g6OOBLltqGb9llb/3sZ/e4+OKLY3QZCPgK67bbql98z5L8/nDffTGsg11xxRWVD8bOP//8WJWT//qv/6rsudYjjzwSg3Lynve8J9ntjsnJHYBmmE6dDqbhgzbpmEnYd01uxaGDaPgAAKCNBHzFJ+ArPgFfwTUS8L34YgwuBQFf8Qn4ii8d8CVLVcNXCfi+9KUvlajhE/AVVnJCGDmy+vX3LJddFsM628knn7zIwq9fyvcb7P79739XPhirlXu9kUhef7Lna665Jv4MQGNMp04H0/BBm3TMJOzHH398rIKOoOEDAIB2EfAV31NPCfiKTsBXcF0Y8B1+eIwsCwFf8XV8wJcs6YavJ+BLlKXhE/AV1uzZC8aMqX79PcuRR8awjjdnzpxJkyblm24krrnmmsoHY7X22muvGJSf6dOnm0UXIAPTqdPBNHzQJh0zCft1110Xq6AjaPgAAKAtBHzF99RTC77+9eqjSC9nnx0jy0LAV3wCvoIT8BWfgK/4agO+ZOlp+JZb7paegC9RioZPwFdYyelrgJP2HnssmDs3RpLNAQccUPlgrJa5DgEKwnTqdDYNH7RDJ03C/vjjj8cq6AgaPgAAyJ+Ar/gEfMUn4Cu4118X8BWdgK/4Oi/gS15w1SFUlkrDt9xyt2y88bfiY7eFit/wCfiKbMKE6tffs+yww4IZM2IYma2zzjqVD8ZqPfroozEIgCFlOnU6m4YP2qFjJmF/5zvfGX+GTqHhAwCAnAn4ik/AV3wCvoJ7/fUFxx9ffRTpRcA35AR8xdeRAV9/p+4tt3y9NuBLFLzhE/AV2W23Vb/+niX5ObzvvhhGZrNnz6583larHfUGANmYTp3OpuGDduiYSdjXWWed+DN0Cg0fAADkScBXfAK+9tlvv/12qTFhwoTY3DABX8EJ+IpPwFd8XRXwJcvIka/XBnyJIjd8Ar4iS84JI0dWH0LPctFFMYxW/O53v6t83lZr7733jkGQh5kzZ8adQ2+33nprjAAGnenUKQgNH+SukyZh/+53vxt/hk6h4QMAgNwI+IpPwNdWo0ePjn9MTRk/fnxsboyAr+AEfMUn4Cu+bgv4Ro1aMHXqvLgq9FbYhk/AV2SzZy8YM6b6EHqWH/0ohtGiAw88sPJ5W60LL7wwBkEeZsyYEVeF3m666aYYAQw606lTEBo+yF0nTcJ+7bXXxp+hU2j4AAAgHwK+4hPwtVvrDZ+Ar+AEfMUn4Cu+Lgz4Hnpowfz588f05eqrr469FImAr8iSM9gA5+3ddivZ79tF9qlPfarykVutx5NTM+RHwwdFYzp1imPq1Klx59DbtGnTYgTQJJOwQ5Fp+AAAIAcCvuIT8A2CFhs+AV/BCfiKT8BXfN0Z8JWLgK/gzj23+hB6luTn7cknYxgtmjNnTnzgVkO9Qe40fFA0plMHoFkmYYdcaPgAAKBVr70m4Cs6Ad/gaKXhE/AVnICv+OoGfCecULKA78knBXxFJ+AruM4L+G67rfoQ0suf/xzDaN21114bH7jV+G5ynwC50vBB0ZhOHYBmmYQdcqHhAwCAlrz22oIf/rD6E8T0IuAbcgK+QZO54RPwFZyAr/g6MuDbaafqo0gvAr4hJ+AruM4L+JLTwsiR1UfRsyRXXnL0/e9/Pz5wq3HxxRfHIMiJhg+KxnTqADTFJOyQFw0fAAC0ZNy46k8Q08uBB5Ys4Hv++U4L+GbOfKOXqjqK9HLuuTGyLO68s/oQqpahCvgS2Rq+22+vPoSqRcA35E44ofoo0suee5Ys4Js3r9MCvtmz38goq44ivZx4Yowsi6eeWvC1r1UfRXr5zW9iZFl0XsA3cWL1IaSXUaMWTJ0aI8uiwwK+xDHHVB9Fetlnn5IFfMlv1LvtVn0UPcsPfxjDyMt6660Xn7nVeOKJJ2IQ5ETDB4ViOnUAmmUSdsiLhg8AALI7//zqTxDTy/77lyzgS/zkJ9VHkV5KF/Al9t67+ijSS+m+suX55xd85SvVR5FehjDgS2Ro+KZPH+g7dZJNpQv4/vSn6qNIL2UM+K69tvoo0sueey544YUYWRYnnVR9FOmldAFf4kc/qj6K9FK6gC+R/FxVHUV6KV3A989/Lthmm+qjSC+lC/gee6z6ENLL9tsvePDBGFkWyf8FVUeRXsoY8F12WfVRpJfSBXyJc86pPoqeZbfd3kiZydHLL78cH7jVUG/QDho+KBTTqQPQLJOwQ140fAAAkN0A3xJUuil0E9OnVx9FeiljwPfII9VHkV5KN4Vu4re/rT6K9DK0AV8iQ8N3wQXVR9GzbLdd+b7GKTHAF7yVMeBL7Ltv9YH0LKWbQjcxZ071UaSXMgZ8yf8FVUeRXko3hW7ir3+tPor0UropdBMXXVR9FOmldAFfYsKE6qPoWco4hW7igAOqD6RnKWPAl9hjj+oD6Vn22aeUxVvyW0HVgVSWZH0Z/w8quN///vfxgVsN9QbtoOGDQjGdOgDNMgk75EXDBwAA2VV9iNizlG4K3YpHH60+kJ6ljAFf4i9/qT6QnqV038BXcfHF1QfSswx5wJfI0PCddlr1gVSW7bZ7o+Mpo/5CkJIGfIldd60+lsry7W+X7xv4EslrrjqQnqWMAV/i8cerD6Rn+cUvYky53Hpr9YH0LKX7Br6Kc8+tPpCepYwBXyL5raDqQCrLqFHl+wa+iu98p/pYKktJA77EDjtUH0tl2WefBf/+d4wpkVmzqg+kZ0nOGOTuoIMOig/calx66aUxCPKj4YNCMZ06AE0xCTvkSMMHAADZHX109eeIyfL97y945ZUYUDr77FN9OMlS0oAv8fLLC7761erDSZZzz40BpdNfZ1mEgC+RoeGbNKn6WJJlu+0W3H9/DCidK66oPpxkKW/AlzjzzOrDSZZvf7t838DXY9y46sNJlpIGfBVjx1YfTrKUcQrdilmz+p40PPnLVVJTp1YfS2UpacCXuPPO6mNJllGjFkybFgNKp8/vSixvwJf4xS+qDydZSvoNfBV9fs3thAmxlXx9+tOfjs/cakyfPj0GQX40fFAcplMHoFkmYYccafgAACC7l15a8K1v9foo8aCDSvkNfD2mTn3jM/j0EZU34KuYPLnX4STL+efHppKqTcQKEvAlMjR8iV/9qtfhJD+BU6bEppKqqntLHfAlXnmlejrdkn4DX49//GPBmDG9jqjUAV/iiSeqo7eTTopNJXX33b0OJ1nKOIVuWu23qJY34Kuoqnt32KGs38DX48c/7nVEpQ74Esmvo3vt1euIkjN5Gb+Br8fzz1d/L+yPfhSbyNfcuXPjA7caQ1hvjBs3bvPNN09ew6hRoyZOnBhr6RQaPigO06kD0CyTsEOONHwAANCS2bMXHHfcG1/2Nnp0h3wXyEMPLTj44Dc+Gd1uu9LnbhWPPvrG9KYjRy7Yc88Ft90WK0vtj3+MAmns2AU33xwriyBbw5f4wx/eyGFHjVpwyCFv9FUd4KyzFmyzzRv/H/3P/5S7Aulx6qlvxIg77fRGHFbqUrki+TGr9DpbbbXg9NNjZanNmPHGl1Qlf4mS08K118bKUnv44QX77//GlWivvd5I+jpA8v/LN77xxk9dx1yMrrlmwW67vfFTl5zo/vnPWFlqydkgOSck/x8l54ennoqV5ZWcq088ccHXvrbg619fcMYZsbLUZs1acMopbxxRcjFK/gdt8oc//CE+cKsxVPXGuHHj4hUsNGLEiNhAp9DwQXGYTh2AZpmEHXKk4QMAAPowa1b8DwqrgF+Elrnh60jz5r3xVZ0U2b//veC11+J/w+Ao9XdYdoPknFDqL6uD1h188MHxgVuNyy67LAYNonvvvTeePqXsX8X38MMPjxs37u7OSNTzoOGD4jCdOgBNMQk75EvDBwAAQD40fAAApbb++uvHZ241nhqKL6g84YQT4unftPrqq8e2ckp+YY4jKX+MmBcNHxSE6dQBaJZJ2CFfGj4AAADyoeEDACivV155JT5wqzFU9UbVRLqJZE1sK6EbbrghDmOhUh9LjjR8wl9BDgAAGZxJREFUUBCmUwegWSZhh3xp+AAAAMiHhg8AoLyuv/76+MCtxhB+i8Y666wTL6L80duuu+4aR7KQL5Sq0PBBQZhOfRCYTh3oMCZhh3xp+AAAAMiHhg8AoLwOOeSQ+MCtxhVXXBGDBt3zzz+fPPsJJ5xw7733xqrSGj58eLyhC82dOzc2dDcNHxSE6dTbzXTqQIcxCTvkTsMHAABAPjR8AADltcEGG1Q+cqv1z3/+MwaR1f333x/v5kJrrbVWbOh6Gj4oAtOpt5vp1IHOYxJ2yJ2GDwAAgHxo+AAASuq1116LT7pqDOG3aHSSX/7yl/GGLrT//vvHhq6n4YMiMJ16u5lOHeg8JmEfBCZh7zYaPgAAAPKh4QMAKKk//vGP8TFXjSGsNzpJVb1x3XXXxYaup+GDIjCderuZTh3oPCZhbzeTsHchDR8AAAD50PABAJTUYYcdFp8O1RjCeqOTVNUbr732Wmzoeho+KALTqbeV6dSBzmMS9nYzCXt30vABAACQDw0fAEBJbbjhhvHpUI2ZM2fGILK666674t1caMSIEbEBDR8UgOnU28106kDnMQl7u5mEvTtp+AAAAMiHhg8AoIzmzZsXHw3VUG/k4pRTTok3dKEf//jHsQENHxSA6dTbzXTqQOcxCXu7mYS9O2n4AAAAyIeGDwCgjKrmaUpTb+Ril112iTd0IXVamoYPhpzp1NvNdOpA5zEJe1uZhL1rafgAAADIh4YPAKCMfvCDH8SnQzXUG62bM2dOut5YbLHFfK6ZpuGDIWc69bYynTrQeUzC3m4mYe9aGj4AAADyoeEDoD8z+zJ79uzYDAyp//7v/45Ph2o888wzMYisbr755ng3F9piiy1iAwtp+GBomU693Uyn3opXX3017hx6S9bHCGAomIS93UzC3rU0fAAAAORDwwdAn+bNmxdXhd4uvvjiGAEMnfnz58dHQzUGud54+eWXzznnnH322Sd53sUWW2yVVVbZaqutnnjiidjcjH333ffTn/50cggf/OAH11133XHjxsWGflx//fU/+9nPxowZkwx+5zvfOWzYsBEjRiR/rPvAtMcee2xiX44//vjK+1lxwAEHxIaUKVOmJIcfO+oyGj4YWqZTbzfTqbdi8uTJcVXo7f77748RwFAwCXu7mYS9a2n4AAAAyIeGD4A+afigyG688cb4aKjGYNYbU6dOHTFiRPKkSy+99M4777zuuutWXkNi0qRJMagxa6+9dvKoT37yk3vuuedSSy1V2clyyy0Xm3ubOHHiyJEjK2OWWGKJ5DWMGzeusoeKNddc88knn4zR/bvgggviAVkNHz489tVlNHwwtEyn3lamU2+Rhg+KySTsbWUS9m6m4QMAACAfGj4A+qThgyL7n//5n/h0qMag1RvXXXfdsGHDkme85JJLYtWCBaNGjaq8jKWXXnrWrFmxtp6Pf/zjyUPOP//8yh/vueeexRdfvLKfHXbYobKyYsqUKZXvRho+fPhxxx03ceLE2LDQnXfeucQSS1QemJg+fXps6Me4ceNiaFbJ79Kxry6j4YOhZTr1tjKdeos0fFBAJmFvN5OwdzMNHwAAAPnQ8AHQJw0fFNlGG20Unw7VeO6552JQO02bNu39739/8nTpgC9x8sknV15GYp999om1AzrwwAOTwWPGjIk/L7TttttWdpLomRt3ypQplS9GSta8+OKLlZVVJkyYUHlUopXPI2MXC6299tqxljdp+GAImU49YTr1ItPwQQGZhL3dTMLezTR8AAAA5OOss876RY0bb7wxNgPQrTR8UFivv/56fDRUY9DqjTFjxiRPVxXwJS688MLKK0msuuqqsbZ/kydPTkZ+8pOffPbZZ2PVQt/5zncqO0lUJqLqCfiS/1EZ05/ll1++8sDEgQceGGubMXHixHj8Qrvttlts4E0vvvhi3Dn0NnXq1BgBtI3p1E2nXnAaPiggk7C3lUnYu5yGDwAAAABoIw0fFNZNN90Unw7VGJx648orr0yea+TIkfHnlIMOOqjySioee+yx2NCPsWPHJsNqvzZp3333reyhoifga+Tj/0022aTyqMTHPvaxWNuM5PXE4xc67bTTYgNAAZhOPbkimE69yDR8UEAmYW8rk7B3OQ0fAAAAANBGGj4orB/+8Ifx6VCNwak3Nthgg+S5quKJis0226zySirqfhVTJQG544474s9v6glBKioB36GHHhqbB7T//vtXHlXxwgsvxIaGVb5Zqsddd90VGwAKwHTqplMvOA0fFI1J2BMmYad9NHwAAAAAQBtp+KCwqgqztOeffz4Gtc25556bPNEuu+wSf+5tmWWWqbySijlz5sSGvkyaNCkZs+6668afU/7rv/6rsoceo0aNim317L333vGYhe68887Y0LB45EKD/LkmwMBMp14Z0x/TqReBhg+KxiTsJmGnrTR8AAAAAEAbafigsOIjoBqDU29svPHGyXPVfnNe4ne/+13llVRsttlmsaEfxxxzTDKsz6++eMtb3lLZScU666wzcA6Y9pWvfCUettDkyZNjQ2OqPuPcddddYwNAAZhOfWCmUy8CDR8UjUnYk+uISdhpHw0fAAAAANBGGj4opqrvB0obO3ZsDGqb66+/Pnmi/r5dafTo0ZVXUnHKKafEhn5Uvoej6rO0xP3331/ZQ4/aMQOo+p7CZ555JjY05tBDD41HLnTyySfHBoACMJ36wEynXgQaPigak7CbhJ220vABAAAAAG2k4YNiqiob0mq/yih3p556avJEfX7A9thjj73zne+svJLEW9/61r/97W+xrS9z5sxJhm2wwQbx55Rf/epXlZ1UNHVcld32WHLJJWNDwz796U/Hgxe69957YwNAAVQVZmmmU0+YTr0INHxQKCZhr4zpj0nYaZ2GDwAAAABoIw0fFFN8NNSXPffcMwa1zemnnz58+PCn/7/27i5EqsJ94LhXipEYqdCvt4vsIjPFCDSMREqFVCozQdNiU8wyo7WCjCIELyy6sH9emL2ZUWmRb0iRZYZEYVFaimUJZrWoKBommVrm/zDzFLOzM+Mcm3GWOZ/PRXDOc86sBs26nm/zHDgQxwUWLFgQv46c8ePHx6CMH3/8MblszZo1cVygtbU1/yJ569evj0EVVqxYEbflVJ995LW1tcWdOQMHDowBQOcQb08dWKeeZ516Z6Dhg07FEvbKLGHnv9PwAQAAAAB1pOGDzqOtre2TTz557LHH4rlQGZdddlnHD7c4a2688cb4deS89tprMUhv0KBB8SpduvTs2fPYsWMxqELRA7zFixfHoDpvvvlm3JnT0tISA4BOwDr107JOvTPQ8EGnYgl7ZZaw899p+AAAAACAOtLwwVkzt8Ajjzxy77333nnnnePGjRs1atTAgQN79uwZj4Oq06NHjyuuuGLkyJETJ06cNWtWvG578YVrZ8uWLfHlc6655poYpPfrr7/Gq+SMGTMmBtUZMmRI3JlTeZ9vRzNmzIg7c07boACcTdapV2adeieh4YNOxRL2yixh57/T8AEAAAAAdaThg7Oj6HPjzo7hw4fHl6+RefPmxUvnLFy4MAbprVq1Kl4lZ/78+TGowubNm+O2nGHDhsWgaldeeWXcnLNjx44YAHQC8d5UinXqCevUOwkNH3Qq8abWgSXseZaw899p+AAAAACAOtLwwdlR4YMx6uerr76KL18jgwcPjpfu0qVbt267d++OQXpF9cZnn30Wgyo89dRTcVvOE088EYPqbN++Pe7MKbcvEuBssk49BlWwTr2T0PBB52EJ+2kV/ThmCTtnQMMHAAAAANSRhg/Ojrlz57a0tIwYMWLMmDHjx4+/4447pk6det99982ePXvOnDnJ9Aw8+eSTjz76aGtra/I6d999d/KaySuPHTt25MiRkyZNWrZsWXztGlm/fn08s8q5/fbbY3BGCuuN8847L85Wpygi+fDDD2NQneeffz7uzLnrrrtiAFA38cadY526derNQcMHnYcl7JVZwk5NaPgAAAAAgDrS8AFVuv/+++OZVc7SpUtjkF5RvXHrrbfGoArff/993Jbzv//97/jx4zGrzuTJk+PmnCVLlsQAoD6sUy9inXpz0PBB5xHvaKVYwp6whJ2a0PABAAAAAHWk4QOq8dtvv1100UXx2KpLlz59+hw6dChm6RXVGwsWLIhBFZ599tm4LWfKlCkxqNqll14aN+f89NNPMQCoD+vUi1in3hw0fNBYlrDHoAqWsFMTGj4AAAAAoI40fEA1li5dGs+scqZOnRqDM1JUb2zevDkGVRgxYkTclrN8+fIYVGfPnj1xZ06/fv1iAFA3c61Tb8869eag4YO6irf7HEvYLWGnM9DwAQAAAAB1pOEDqjFu3Lh4ZpWzatWqGJyRwnrjnHPOibNV2Lp1a9yWc+GFFx45ciRm1Vm7dm3cnHPPPffEAIDyrFOnIw0f1E9DlrDXPOOzhJ0mo+EDAAAAAOpIwwecVlE517dv3+StI2YFWltbp02bFgflFdUbI0eOjEEV5s+fH7fllCvwJkyYUO4ZZHI+bs457cf4rVixoprfFEATs06dkjR8UD8NWcJ++PDh+PI1Ygk7TUbDBwAAAADUkYYPOK05c+bEM6uchx9+OAYF3n///WQ0YcKEOC6vqN5I9YEf1113XdyWs2bNmhgUePfdd5NRS0tLHLeXvL/l783bv39/DEp5+eWXk2smTZoUxwCZZJ06JWn4oH6SPyFbwl7IEnY6Aw0fAAAAAFBHGj7gtIo+tejTTz+NQYG5uc+3mzNnThyXV1RvfPDBBzE4nc8//zzuyenbt+/JkydjVmD69OnJ9PXXX4/j9rp27Zq/PTFgwIA4W0b+E1CS31ocA2SSdeqUpOEDKrCEneaj4QMAAAAA6kjDB1RW9LF5N9xwQwzaGzBgQDLduHFjHJdXWG8kfv/99xiczqJFi+KenNmzZ8egwIEDB3r37t2/f/8TJ07EqQLr1q2Lm3MefPDBGJSyevXq5JrLL7/84MGDcQoge6xTjwM60PAB5VjCTlPS8AEAAAAAdaThAyqbPXt2PLDKeeaZZ2JQIP9cbdSoUXFcXlG9cfXVV8egCjNmzIjbcj7++OMYFHjhhReS0dNPPx3H7RXVGy+++GIMOjh+/PiQIUOSa5577rk4BZBJ1qnHMR1o+IByLGGnKWn4AAAAAIA60vABlU2YMCGeWeWsW7cuBgWmTJmSjF555ZU4Lq+o3pg1a1YMqnDVVVfFbbk1WHG2vdGjR19yySV79+6N4/aKGr6SFWBe/soRI0bEMUBWWacex3Sg4QPKsYSdpqThAwAAAADqSMMHVJa8IcQzq5x9+/bF4B+7du3q3r372LFj47iionpj2bJlMahCr1694rYuXW6++eY4W+DVV19NRgsXLozjDj766KP87XltbW0xaG/Tpk1du3ZNvtzOnTvjFEAmFYXX1qlTSMMHlFRUzlnCTtPQ8AEAAFAbGzdu/KCD7du3xxiArNLwAZUVPrgaPnx4nC0wefLkbt26bdq0KY4rKqo3fv755xhUoaWlJW7r0mXmzJlx9h9HjhwZMGBA5ad6RY8A//jjjxgUOHr06C233JJM33vvvTiVYcm/jfjJob09e/bEFUBTs049TlGKhg8oyRL2OKbpaPgAAACojZaWlvzfpRaq8CElAGSEhg+obNmyZflHVonW1tY4+4+ZM2cm5+fNmxfHFRXVGyWLwApeeumluLPUxsZ8nPHB6dYyDh06NP8KiY7/Q8s333xz7bXXJiPdRt7evXvju0J7GzZsiCuApmadOhVo+ICSLGGPY5qOhg8AAIDa0PABUJKGD6jszz//HD16dP7B1aBBg+LsqVOHDh16/PHHk5NTp06NU6eT/7yNf6V9vnX06NHrr78+f+/EiRPj7KlTO3fuTN61kpPz58+PU+UtXrw4/wqJos9qWrFixQUXXJCcX7lyZZzKPA0fZFzy33v+DTPPOnUKafiAjixht4S9iWn4AAAAqA0NHwAl/f333x+WsmvXrrgCyLz9+/cPHjw4/+wq+TPk8uXLx40b16NHj+SwmmzuX0uWLMm/SOLcc8/9+uuvY1C1bdu29e7dO/8KyZ9v33nnneSfvXr1Ov/886tvQW666ab8KyQeeOCBt99+e+LEifl6b+jQod9++21ch4YPMq/ws+usU6fIoUOH4ieH9pLzcQWQPZawxymakYYPAACA2tDwAQBwxn744Ydp06b1798//wSrd+/et9122xtvvBHjquXXMvbp02fRokVxKqXVq1cnL3LxxRfnfyX9+vWbPn16lfnIv1auXNm3b9/8KyS6d+8+bNiwhx566PDhw3EFORo+yDjr1AFIxRJ2mpiGDwAAgNrQ8AEA8N/t27dv8+bNcXBGKjz9SmXnzp27d++Og/ROnDjR1ta2ZcuWL7/8Mk7RgYYPMs46dQBSyb8n/8sSdpqJhg8AAIDa0PABAACpaPgA69QBqF7hZ9dZwk6T0fABAABQGxo+AAAgFQ0fkLBOHYAqWcJOE9PwAQAAUBsaPgAAIBUNH1DIOnUAKrOEnSam4QMAAKA2NHwAAEAqGj4AAFKxhJ1mpeEDAACgNjR8AABAKho+AADSsoSdpqThAwAAoDY0fAAAQCoaPgAAzpgl7DQTDR8AAAC1oeEDAABS0fABAAAkNHwAAADUhoYPAABIRcMHAACQ0PABAABQGxo+AAAgFQ0fAABAQsMHAABAbWj4AACAVDR8AAAACQ0fAAAAtaHhAwAAUtHwAQAAJDR8AAAA1IaGDwAASEXDBwAAkNDwAQAAUBsaPgAAIBUNHwAAQELDBwAAQG1o+AAAgFQ0fAAAAAkNHwAAALWh4QMAAFLR8AEAACQ0fAAAANSGhg8AAEhFwwcAAJDQ8AEAAFAbGj4AACAVDR8AAEBCwwcAAEBtaPgAAIBUNHwAAAAJDR8AAAC1oeEDAABS0fABAAAkNHwAAADUhoYPAABIRcMHAACQ0PABAABQGxo+AAAgFQ0fAABAQsMHAABAbWj4ACjp5MmT/1fKF198EVcAkFUaPgDK+eWXX+Inh/ba2triCgBoIho+AAAAakPDB0BJf/31V3xXaO+tt96KKwDIKg0fAOVs3bo1viu0t23btrgCAJqIhg8AAIDa0PABUJKGD4ByNHwAlKPhAyBTNHwAAADUhoYPgJI0fACUo+EDoBwNHwCZouEDAACgNjR8AJSk4QOgHA0fAOVo+ADIFA0fAAAAtXHw4MEDHRw5ciTGAGSVhg+AcpLvEfGTQ3vHjh2LKwDIKg0fAJmi4QMAAAAA6kjDBwAApKXhAyBTNHwAAAAAQB1p+AAAgLQ0fABkioYPAAAAAKgjDR8AAJCWhg+ATNHwAQAAAAB1pOEDAADS0vABkCkaPgAAAACgjjR8AABAWho+ADJFwwcAAAAA1JGGDwAASEvDB0CmaPgAAAAAgDrS8AEAAGlp+ADIFA0fAAAAAFBHGj4AACAtDR8AmaLhAwAAAADqSMMHAACkpeEDIFM0fAAAAABAHWn4AACAtDR8AGSKhg8AAAAAqCMNHwAAkJaGD4BM0fABAAAAAHWk4QMAANLS8AGQKRo+AAAAAKCONHwAAEBaGj4AMkXDBwAAAADUkYYPAABIS8MHQKZo+AAAAACAOtLwAQAAaWn4AMgUDR8AAAAAUEcaPgAAIC0NHwCZouEDAAAAAOpIwwcAAKSl4QMgUzR8AAAAAEAdafgAAIC0NHwAZIqGDwAAAACoIw0fAACQloYPgEzR8AEAAAAAdaThAwAA0tLwAZApGj4AAAAAoI40fAAAQFoaPgAyRcMHAAAAANSRhg8AAEhLwwdApmj4AAAAAIA60vABAABpafgAyBQNHwAAALXR0tISf5l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    }
   },
   "cell_type": "markdown",
   "id": "5e7150c5",
   "metadata": {},
   "source": [
    "# 3. The nodal equations\n",
    "We first have to identify the nodes that have a unique equation. \n",
    "<br>\n",
    "<br>\n",
    "Here's the domain from the beginning again, except we decided on an $I$:\n",
    "![Rectangular%20Corner%20Actual.png](attachment:Rectangular%20Corner%20Actual.png)\n",
    "\n",
    "For any choice of allowable $I$, our situation always has the following unique nodes:\n",
    "\n",
    "- Outer most nodes are exposed to convection\n",
    "  - Node 0 has an area that is a quarter of a typical node\n",
    "  - Node 4 has an area that is a quarter of a typical node, and one side is insulated\n",
    "  - Nodes on the left side between the top left and bottom left corner have an area that is half of a typical node and three sides are subject to conduction\n",
    "  - Bottom left corner has an area that is a quarter of a typical node, and one side is insulated\n",
    "- Inner most nodes are at a given temperature\n",
    "\n",
    "For large enough $I$ we also have:\n",
    "\n",
    "- Interior nodes\n",
    "- Insulated right side nodes that are not at a corner\n",
    "- Insulated bottom side nodes that are not at a corner\n",
    "\n",
    "<br>\n",
    "We're going to work on all these nodes, even if we don't have all the cases sometimes. The code in this script is able to handle when they don't exist by simply outputting nothing when the choice of $I$ results in them not existing.\n",
    "\n",
    "\n",
    "**Remark**: Aside from the fact that computers can do tedious calculations very fast, we see that the same situation can occur for sets of nodes, so computers help us out again by allowing us to utilize loops to take care of repeating situations.\n",
    "\n",
    "\n",
    "**Remark**: Why did you fill in the inner corner? This choice is unique to using a computer to solve the problem as filling in the corner gives a consistent way to generally index the inner corner. Yes, we would save memory by not including them, but attempting to create a script that can accept arbitrary partitions is too difficult because there would no longer be a consistent way to index the inner corner without these nodes that \"complete the square\"."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bf0b43dc",
   "metadata": {},
   "source": [
    "Here are all the required nodal equations. Try deriving at least some of them.\n",
    "\n",
    "### Node zero\n",
    "$-\\left[\\frac{\\Delta x}{2 \\Delta y} + \\frac{\\Delta y}{2 \\Delta x} + \\frac{h}{2k}(\\Delta x + \\Delta y)\\right]T_0 + \\left[\\frac{\\Delta y}{2 \\Delta x}\\right]T_1 + \\left[\\frac{\\Delta x}{2 \\Delta y}\\right]T_5 = -\\frac{h}{2k}T_{\\infty}(\\Delta x + \\Delta y)$\n",
    "\n",
    "\n",
    "### Node four\n",
    "$-\\left[\\frac{\\Delta x}{2 \\Delta y} + \\frac{\\Delta y}{2 \\Delta x} + \\frac{h \\Delta x}{2k}\\right]T_4 + \\left[\\frac{\\Delta y}{2 \\Delta x}\\right]T_3 + \\left[\\frac{\\Delta x}{2 \\Delta y}\\right]T_9 = -\\frac{h \\Delta x}{2k}T_{\\infty}$\n",
    "\n",
    "\n",
    "### Top row\n",
    "The equation for Node 1 is given as an example\n",
    "<br>\n",
    "<br>\n",
    "$-\\left[\\frac{\\Delta x}{\\Delta y} + \\frac{\\Delta y}{\\Delta x} + \\frac{h \\Delta x}{2k}\\right]T_1 + \\left[\\frac{\\Delta y}{2 \\Delta x}\\right](T_0+T_2) + \\left[\\frac{\\Delta x}{\\Delta y}\\right]T_6 = -\\frac{h\\Delta x}{k}T_{\\infty}$\n",
    "\n",
    "\n",
    "### Nodes on the left side between the top left and bottom left corner\n",
    "The equation for Node 5 is given as an example\n",
    "<br>\n",
    "<br>\n",
    "$-\\left[\\frac{\\Delta x}{\\Delta y} + \\frac{\\Delta y}{\\Delta x} + \\frac{h \\Delta x}{k}\\right]T_5 + \\left[\\frac{\\Delta x}{2 \\Delta y}\\right](T_0+T_{10}) + \\left[\\frac{\\Delta x}{\\Delta y}\\right]T_6 = -\\frac{h\\Delta x}{k}T_{\\infty}$\n",
    "\n",
    "\n",
    "### Bottom left corner\n",
    "$-\\left[\\frac{\\Delta x}{2 \\Delta y} + \\frac{\\Delta y}{2 \\Delta x} + \\frac{h \\Delta y}{2k}\\right]T_{20} + \\left[\\frac{\\Delta x}{2 \\Delta y}\\right]T_{15} + \\left[\\frac{\\Delta y}{2 \\Delta x}\\right]T_{21} = -\\frac{h \\Delta y}{2k}T_{\\infty}$\n",
    "\n",
    "\n",
    "### Insulated bottom side\n",
    "The equation for Node 21 is given as an example\n",
    "<br>\n",
    "<br>\n",
    "$-\\left[\\frac{\\Delta x}{\\Delta y} + \\frac{\\Delta y}{\\Delta x}\\right]T_{21} + \\left[\\frac{\\Delta y}{2 \\Delta x}\\right](T_{20}+T_{22}) + \\left[\\frac{\\Delta x}{\\Delta y}\\right]T_{16} = 0$\n",
    "\n",
    "\n",
    "### Insulated right side\n",
    "We only happen to have one for the choice $I=1$. \n",
    "<br>\n",
    "<br>\n",
    "$-\\left[\\frac{\\Delta x}{\\Delta y} + \\frac{\\Delta y}{\\Delta x}\\right]T_9 + \\left[\\frac{\\Delta x}{2 \\Delta y}\\right](T_4+T_{14}) + \\left[\\frac{\\Delta y}{\\Delta x}\\right]T_8 = 0$\n",
    "\n",
    "\n",
    "### Interior nodes\n",
    "The equation for Node 6 is given as an example\n",
    "<br>\n",
    "<br>\n",
    "$-2\\left[\\frac{\\Delta x}{\\Delta y} + \\frac{\\Delta y}{\\Delta x}\\right]T_6 + \\left[\\frac{\\Delta y}{\\Delta x}\\right](T_5+T_7) + \\left[\\frac{\\Delta x}{\\Delta y}\\right](T_1+T_{11}) = 0$\n",
    "\n",
    "\n",
    "### Inside nodes at a known temperature\n",
    "Take for an example Node 22\n",
    "<br>\n",
    "<br>\n",
    "Known: $T_{22}$ = T_int\n",
    "\n",
    "\n",
    "### Questions for you\n",
    "1. We left $\\Delta x$ and $\\Delta y$ in there so you could practice deriving the nodal equations in a more general way. Given that $\\Delta x = \\Delta y$, how do the nodal equations simplify?\n",
    "<br>\n",
    "<br>\n",
    "2. After simplification, is there any symmetry you can spot between the equations, i.e. same equation except location numbers are different?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dfa334f6",
   "metadata": {},
   "source": [
    "## How do we use the equations to fill $A$ and $\\vec{b}$?\n",
    "\n",
    "### The entries of $A$\n",
    "Now we have equations to describe every node. We see that there are coefficients and that only some nodes appear in the equations. Let's look at the equation for node 0. \n",
    "<br>\n",
    "<br>\n",
    "$-\\left[\\frac{\\Delta x}{2 \\Delta y} + \\frac{\\Delta y}{2 \\Delta x} + \\frac{h}{2k}(\\Delta x + \\Delta y)\\right]T_0 + \\left[\\frac{\\Delta y}{2 \\Delta x}\\right]T_1 + \\left[\\frac{\\Delta x}{2 \\Delta y}\\right]T_5 = -\\frac{h}{2k}T_{\\infty}(\\Delta x + \\Delta y)$\n",
    "<br>\n",
    "<br>\n",
    "Because this equation is associated with the zero node, this equation tells us that these coefficients that belong in the zeroth row of $A$.\n",
    "<br>\n",
    "<br>\n",
    "Thinking back to how we discussed indexing the entries of $A$, we have $[k,l]$. Working with node zero fixes $k$ as zero. Now we step through all values of $l$ and ask ourselves \"how does node $l$ interact with node zero?\"\n",
    "<br>\n",
    "<br>\n",
    "Immediately we see the term: $-\\left[\\frac{\\Delta x}{2 \\Delta y} + \\frac{\\Delta y}{2 \\Delta x} + \\frac{h}{2k}(\\Delta x + \\Delta y)\\right]T_0$. \n",
    "\n",
    "This is telling us that the interaction of node zero with itself is described by the coefficient $-\\left[\\frac{\\Delta x}{2 \\Delta y} + \\frac{\\Delta y}{2 \\Delta x} + \\frac{h}{2k}(\\Delta x + \\Delta y)\\right]$. This means $a_{00} = -\\left[\\frac{\\Delta x}{2 \\Delta y} + \\frac{\\Delta y}{2 \\Delta x} + \\frac{h}{2k}(\\Delta x + \\Delta y)\\right]$.\n",
    "<br>\n",
    "<br>\n",
    "Next we have $\\left[\\frac{\\Delta y}{2 \\Delta x}\\right]T_1$.\n",
    "\n",
    "This tells us that the interaction of node zero with node 1 is described by $\\frac{\\Delta y}{2 \\Delta x}$. Thus, $a_{01} = \\frac{\\Delta y}{2 \\Delta x}$.\n",
    "\n",
    "\n",
    "**Fill in the question mark**: $\\frac{\\Delta x}{2 \\Delta y}$ is entry $a_{0?}$\n",
    "<br>\n",
    "<br>\n",
    "This takes care of the three terms on the left hand side, but what about all the terms that are not there? We have to fill up the row somehow, so what about the coefficient for the interaction with $T_2$? $T_3$? $T_4$?...$T_{6-24}$? Well, if they are not there, then we can view it as $0 \\cdot T_i$. This is telling us that node zero has no interaction with node $i$. Certainly that's true, so $a_{0i} = 0$. \n",
    "<br>\n",
    "<br>\n",
    "Now we see why it turns out to be a good idea to initialize $A$ with nothing but zeros to start!\n",
    "\n",
    "### The entries of $\\vec{b}$\n",
    "\n",
    "Recall that $\\vec{b}$ is the solution vector. The right hand side of the nodal equation is the solution, thus whatever is on the right hand side of the equation is what we should put into $\\vec{b}$.\n",
    "<br>\n",
    "<br>\n",
    "Some examples:\n",
    "<br>\n",
    "<br>\n",
    "Node 0 has the right hand side: $-\\frac{h}{2k}T_{\\infty}(\\Delta x + \\Delta y)$. This means that $b_0 = -\\frac{h}{2k}T_{\\infty}(\\Delta x + \\Delta y)$.\n",
    "\n",
    "Node 6 has a right hand side of zero, so $b_6 = 0$.\n",
    "\n",
    "**Remark**: Many of the nodal equations have a right hand side of zero\n",
    "<br>\n",
    "<br>\n",
    "Again, we now see why it is a good choice to initialize $\\vec{b}$ as a vector of all zeros!\n",
    "\n",
    "### Exercises for you\n",
    "Write out the entire row of $A$ that is associated with node 2. What is $b_2$? <br>\n",
    "Do the same exercise for nodes 8 and 10.  \n",
    "\n",
    "<br>\n",
    "Write out the entire row for node 22 and multiply it with $\\vec{x}$ as a demonstration of the correctness of its nodal equation given earlier."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f18ad92",
   "metadata": {},
   "source": [
    "Below is code that generalizes the indices so that you could input any acceptable $I$ and get a solution. <br>\n",
    "\n",
    "The interested user can attempt to do the generalization, using the specific case of $I=1$ and the various partitioned domains shown earlier as guides, though hard coding indices is likely something one may do if a problem with a fixed, predetermined partition scheme is of interest instead of coding to allow arbitrary partitioning."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "0f35e022",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Top left corner [0,0]\n",
    "A[0,0] = -((dx/(2*dy))+(dy/(2*dx))+((h/(2*k))*(dx+dy)))\n",
    "A[0,1] = dy/(2*dx)\n",
    "A[0,n] = dx/(2*dy)\n",
    "B[0] = -T_inf*(h/(2*k))*(dx+dy)\n",
    "\n",
    "#Top line of nodes before in between top left and right corner\n",
    "for i in range(1,m-1):\n",
    "    A[i,i-1] = dy/(2*dx)\n",
    "    A[i,i] = -((dx/dy)+(dy/dx)+((h*dx)/k))\n",
    "    A[i,i+1] = dy/(2*dx)\n",
    "    A[i,i+n] = dx/dy \n",
    "    B[i] = -T_inf*((h*dx)/k)\n",
    "    \n",
    "#Top right corner [0,m]\n",
    "A[m-1,m-2] = dy/(2*dx)\n",
    "A[m-1,m-1] = -((dx/(2*dy))+(dy/(2*dx))+(((h*dx)/(2*k))))\n",
    "A[m-1,m-1+n] = dx/(2*dy)\n",
    "B[m-1] = -T_inf*((h*dx)/(2*k))\n",
    "\n",
    "#Insulated right side that are not corner nodes\n",
    "e = int(m+n-1)\n",
    "E = ((m*n)-((I+2)*m))\n",
    "for i in range(e,E,m):\n",
    "    A[i,i-n] = dx/(2*dy)\n",
    "    A[i,i] = -((dx/dy)+(dy/dx))\n",
    "    A[i,i+n] = dx/(2*dy)\n",
    "    A[i,i-1] = dy/dx\n",
    "\n",
    "#Left side nodes that are not corner nodes\n",
    "N = int((n*n)-n-1)\n",
    "for i in range(n,N,n):\n",
    "    A[i,i-n] = dx/(2*dy)\n",
    "    A[i,i+n] = dx/(2*dy) \n",
    "    A[i,i] = -((dx/dy)+(dy/dx)+((h*dy)/k))\n",
    "    A[i,i+1] = dy/dx\n",
    "    B[i] = -T_inf*((h*dy)/k)\n",
    "    \n",
    "#Bottom left corner \n",
    "R = int((n*m)-m)\n",
    "A[R,R-n] = dx/(2*dy)\n",
    "A[R,R] = -((dx/(2*dy))+(dy/(2*dx))+(((h*dy)/(2*k))))\n",
    "A[R,R+1] = dy/(2*dx) \n",
    "B[R] = -T_inf*((h*dy)/(2*k))\n",
    "\n",
    "#Insulated bottom side that are not corner nodes\n",
    "for i in range(R+1,R+I+1):\n",
    "    A[i,i-1] = dy/(2*dx)\n",
    "    A[i,i] = -((dy/dx)+(dx/dy))\n",
    "    A[i,i+1] = dy/(2*dx)\n",
    "    A[i,i-n] = dx/dy\n",
    "\n",
    "#Internal nodes \n",
    "#vertical part of the corner\n",
    "u = int((2*m)-1)\n",
    "U = int(I*m)\n",
    "for i in range(m+I+1,u):\n",
    "    j = range(i,i+U,n)\n",
    "    r = len(j)\n",
    "    for l in range(0,r):\n",
    "        v = j[l]\n",
    "        A[v,v-n] = dx/dy\n",
    "        A[v,v+n] = dx/dy\n",
    "        A[v,v-1] = dy/dx\n",
    "        A[v,v+1] = dy/dx\n",
    "        A[v,v] = -2*((dx/dy)+(dy/dx))\n",
    "\n",
    "#horizonal part of the corner \n",
    "W = int((n*m)-m+1-m)\n",
    "for i in range(m+1,m+I+1):\n",
    "    j = range(i,W+I,n)\n",
    "    r = len(j)\n",
    "    for l in range(0,r):\n",
    "        v = j[l]\n",
    "        A[v,v-n] = dx/dy\n",
    "        A[v,v+n] = dx/dy\n",
    "        A[v,v-1] = dy/dx\n",
    "        A[v,v+1] = dy/dx\n",
    "        A[v,v] = -2*((dx/dy)+(dy/dx))\n",
    "    \n",
    "#Inner most nodes that are at a given temperature (the part that \"completes the square\")\n",
    "s = int((n*m)-1)\n",
    "S = int(s/2)\n",
    "for i in range(S, s, n):\n",
    "    j = range(i, i+m-I-1)\n",
    "    r = len(j)\n",
    "    for l in range(0,r):\n",
    "        v = j[l]\n",
    "        A[v,v] = 1\n",
    "        B[v] = T_int"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "3e492ec5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "array([[-1.45454545,  0.5       ,  0.        , ...,  0.        ,\n",
      "         0.        ,  0.        ],\n",
      "       [ 0.5       , -2.45454545,  0.5       , ...,  0.        ,\n",
      "         0.        ,  0.        ],\n",
      "       [ 0.        ,  0.5       , -2.45454545, ...,  0.        ,\n",
      "         0.        ,  0.        ],\n",
      "       ...,\n",
      "       [ 0.        ,  0.        ,  0.        , ...,  1.        ,\n",
      "         0.        ,  0.        ],\n",
      "       [ 0.        ,  0.        ,  0.        , ...,  0.        ,\n",
      "         1.        ,  0.        ],\n",
      "       [ 0.        ,  0.        ,  0.        , ...,  0.        ,\n",
      "         0.        ,  1.        ]])\n",
      "array([-136, -136, -136, -136, -136, -136, -136, -136, -136, -136, -136,\n",
      "       -136, -136, -136, -136, -136, -136, -136, -136, -136, -136, -136,\n",
      "        -68, -136,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
      "          0,    0,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
      "          0,    0, -136,    0,    0,    0,    0,    0,    0,    0,    0,\n",
      "          0,    0,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
      "          0,    0,    0, -136,    0,    0,    0,    0,    0,    0,    0,\n",
      "          0,    0,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
      "          0,    0,    0,    0, -136,    0,    0,    0,    0,    0,    0,\n",
      "          0,    0,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
      "          0,    0,    0,    0,    0, -136,    0,    0,    0,    0,    0,\n",
      "          0,    0,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
      "          0,    0,    0,    0,    0,    0, -136,    0,    0,    0,    0,\n",
      "          0,    0,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
      "          0,    0,    0,    0,    0,    0,    0, -136,    0,    0,    0,\n",
      "          0,    0,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
      "          0,    0,    0,    0,    0,    0,    0,    0, -136,    0,    0,\n",
      "          0,    0,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
      "          0,    0,    0,    0,    0,    0,    0,    0,    0, -136,    0,\n",
      "          0,    0,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
      "          0,    0,    0,    0,    0,    0,    0,    0,    0,    0, -136,\n",
      "          0,    0,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
      "          0,    0,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
      "       -136,    0,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
      "        277,  277,  277,  277,  277,  277,  277,  277,  277,  277,  277,\n",
      "        277, -136,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
      "          0,  277,  277,  277,  277,  277,  277,  277,  277,  277,  277,\n",
      "        277,  277, -136,    0,    0,    0,    0,    0,    0,    0,    0,\n",
      "          0,    0,  277,  277,  277,  277,  277,  277,  277,  277,  277,\n",
      "        277,  277,  277, -136,    0,    0,    0,    0,    0,    0,    0,\n",
      "          0,    0,    0,  277,  277,  277,  277,  277,  277,  277,  277,\n",
      "        277,  277,  277,  277, -136,    0,    0,    0,    0,    0,    0,\n",
      "          0,    0,    0,    0,  277,  277,  277,  277,  277,  277,  277,\n",
      "        277,  277,  277,  277,  277, -136,    0,    0,    0,    0,    0,\n",
      "          0,    0,    0,    0,    0,  277,  277,  277,  277,  277,  277,\n",
      "        277,  277,  277,  277,  277,  277, -136,    0,    0,    0,    0,\n",
      "          0,    0,    0,    0,    0,    0,  277,  277,  277,  277,  277,\n",
      "        277,  277,  277,  277,  277,  277,  277, -136,    0,    0,    0,\n",
      "          0,    0,    0,    0,    0,    0,    0,  277,  277,  277,  277,\n",
      "        277,  277,  277,  277,  277,  277,  277,  277, -136,    0,    0,\n",
      "          0,    0,    0,    0,    0,    0,    0,    0,  277,  277,  277,\n",
      "        277,  277,  277,  277,  277,  277,  277,  277,  277, -136,    0,\n",
      "          0,    0,    0,    0,    0,    0,    0,    0,    0,  277,  277,\n",
      "        277,  277,  277,  277,  277,  277,  277,  277,  277,  277, -136,\n",
      "          0,    0,    0,    0,    0,    0,    0,    0,    0,    0,  277,\n",
      "        277,  277,  277,  277,  277,  277,  277,  277,  277,  277,  277,\n",
      "        -68,    0,    0,    0,    0,    0,    0,    0,    0,    0,    0,\n",
      "        277,  277,  277,  277,  277,  277,  277,  277,  277,  277,  277,\n",
      "        277])\n"
     ]
    }
   ],
   "source": [
    "pprint(A)\n",
    "pprint(B)\n",
    "\n",
    "#We just print A and b because it's always good to look at what you've created in order to spot any mistakes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a30d33cb",
   "metadata": {},
   "source": [
    "# 5. Solution algorithm\n",
    "\n",
    "This is actually the easiest step of the entire process. Since we have a square matrix and a solution vector, we just use Python's built in matrix equation solver to do the work for us. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5b8de9ea",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "T:\n",
      "array([298.71080544, 298.48844428, 298.26616579, 298.04429312,\n",
      "       297.82346348, 297.60469377, 297.38942623, 297.17953567,\n",
      "       296.97727614, 296.78514782, 296.60567974, 296.4411525 ,\n",
      "       296.29332048, 296.16321249, 296.05107035, 295.95642971,\n",
      "       295.87829928, 295.8153787 , 295.76626632, 295.72962971,\n",
      "       295.70433047, 295.68950738, 295.68462656, 298.48844428,\n",
      "       298.16496853, 297.84149278, 297.5184503 , 297.19673509,\n",
      "       296.87780348, 296.56374967, 296.25732729, 295.9618815 ,\n",
      "       295.68115762, 295.41897284, 295.1787833 , 294.96324051,\n",
      "       294.77387161, 294.61098794, 294.47382448, 294.3608304 ,\n",
      "       294.27001036, 294.1992404 , 294.14651998, 294.11015169,\n",
      "       294.08885779, 294.08184871, 298.26616579, 297.84149278,\n",
      "       297.41638649, 296.99128021, 296.5672231 , 296.14603541,\n",
      "       295.73044168, 295.3241423 , 294.93176494, 294.55862832,\n",
      "       294.21027069, 293.89176735, 293.60698664, 293.3580455 ,\n",
      "       293.14518532, 292.96704986, 292.82118749, 292.70459194,\n",
      "       292.61416495, 292.54705812, 292.50089852, 292.47392337,\n",
      "       292.46505272, 298.04429312, 297.5184503 , 296.99128021,\n",
      "       296.46306095, 295.93484169, 295.40867336, 294.88783933,\n",
      "       294.37703531, 293.88240765, 293.41132003, 292.97171424,\n",
      "       292.57102877, 292.2148932 , 291.90613844, 291.64465799,\n",
      "       291.42800213, 291.25227776, 291.11300496, 291.00576932,\n",
      "       290.92664905, 290.87246091, 290.84088444, 290.83051542,\n",
      "       297.82346348, 297.19673509, 296.5672231 , 295.93484169,\n",
      "       295.30040935, 294.66597701, 294.03520699, 293.41375193,\n",
      "       292.80951033, 292.23252991, 291.69423748, 291.2057403 ,\n",
      "       290.77541895, 290.40695707, 290.09930607, 289.84802291,\n",
      "       289.64691647, 289.48938082, 289.36925833, 289.28130784,\n",
      "       289.22141163, 289.18663806, 289.17524008, 297.60469377,\n",
      "       296.87780348, 296.14603541, 295.40867336, 294.66597701,\n",
      "       293.91961835, 293.17325969, 292.4332551 , 291.70935183,\n",
      "       291.01505181, 290.36696545, 289.78227602, 289.27408521,\n",
      "       288.84696482, 288.49758631, 288.21786696, 287.9979844 ,\n",
      "       287.82834351, 287.70057535, 287.60791233, 287.54523972,\n",
      "       287.5090161 , 287.49716877, 297.38942623, 296.56374967,\n",
      "       295.73044168, 294.88783933, 294.03520699, 293.17325969,\n",
      "       292.30495831, 291.43665694, 290.57959009, 289.75136005,\n",
      "       288.97629647, 288.28231311, 287.69168106, 287.2092307 ,\n",
      "       286.82620739, 286.52787423, 286.29881066, 286.12543347,\n",
      "       285.99678723, 285.90452642, 285.8426188 , 285.80701787,\n",
      "       285.79540278, 297.17953567, 296.25732729, 295.3241423 ,\n",
      "       294.37703531, 293.41375193, 292.4332551 , 291.43665694,\n",
      "       290.42882424, 289.42099155, 288.43450184, 287.50454728,\n",
      "       286.67899891, 286.00109522, 285.47206951, 285.07013832,\n",
      "       284.76861191, 284.54395053, 284.37779248, 284.25661367,\n",
      "       284.17078731, 284.11369122, 284.08103378, 284.07040663,\n",
      "       296.97727614, 295.9618815 , 294.93176494, 293.88240765,\n",
      "       292.80951033, 291.70935183, 290.57959009, 289.42099155,\n",
      "       288.24105001, 287.06110848, 285.9283919 , 284.92804001,\n",
      "       284.16163139, 283.60781381, 283.21366446, 282.93248457,\n",
      "       282.73058708, 282.58517225, 282.48108768, 282.40831793,\n",
      "       282.36032497, 282.33301941, 282.32415617, 296.78514782,\n",
      "       295.68115762, 294.55862832, 293.41132003, 292.23252991,\n",
      "       291.01505181, 289.75136005, 288.43450184, 287.06110848,\n",
      "       285.64049016, 284.21987184, 282.94313785, 282.10957651,\n",
      "       281.58388988, 281.24422116, 281.01707482, 280.86074096,\n",
      "       280.75122177, 280.67424685, 280.62107176, 280.58627131,\n",
      "       280.56656273, 280.56017923, 296.60567974, 295.41897284,\n",
      "       294.21027069, 292.97171424, 291.69423748, 290.36696545,\n",
      "       288.97629647, 287.50454728, 285.9283919 , 284.21987184,\n",
      "       282.36746745, 280.51506305, 279.7496469 , 279.37394806,\n",
      "       279.16225546, 279.03085261, 278.94408015, 278.88472703,\n",
      "       278.84360621, 278.81545094, 278.7971258 , 278.78678095,\n",
      "       278.78343528, 296.4411525 , 295.1787833 , 293.89176735,\n",
      "       292.57102877, 291.2057403 , 289.78227602, 288.28231311,\n",
      "       286.67899891, 284.92804001, 282.94313785, 280.51506305,\n",
      "       277.        , 277.        , 277.        , 277.        ,\n",
      "       277.        , 277.        , 277.        , 277.        ,\n",
      "       277.        , 277.        , 277.        , 277.        ,\n",
      "       296.29332048, 294.96324051, 293.60698664, 292.2148932 ,\n",
      "       290.77541895, 289.27408521, 287.69168106, 286.00109522,\n",
      "       284.16163139, 282.10957651, 279.7496469 , 277.        ,\n",
      "       277.        , 277.        , 277.        , 277.        ,\n",
      "       277.        , 277.        , 277.        , 277.        ,\n",
      "       277.        , 277.        , 277.        , 296.16321249,\n",
      "       294.77387161, 293.3580455 , 291.90613844, 290.40695707,\n",
      "       288.84696482, 287.2092307 , 285.47206951, 283.60781381,\n",
      "       281.58388988, 279.37394806, 277.        , 277.        ,\n",
      "       277.        , 277.        , 277.        , 277.        ,\n",
      "       277.        , 277.        , 277.        , 277.        ,\n",
      "       277.        , 277.        , 296.05107035, 294.61098794,\n",
      "       293.14518532, 291.64465799, 290.09930607, 288.49758631,\n",
      "       286.82620739, 285.07013832, 283.21366446, 281.24422116,\n",
      "       279.16225546, 277.        , 277.        , 277.        ,\n",
      "       277.        , 277.        , 277.        , 277.        ,\n",
      "       277.        , 277.        , 277.        , 277.        ,\n",
      "       277.        , 295.95642971, 294.47382448, 292.96704986,\n",
      "       291.42800213, 289.84802291, 288.21786696, 286.52787423,\n",
      "       284.76861191, 282.93248457, 281.01707482, 279.03085261,\n",
      "       277.        , 277.        , 277.        , 277.        ,\n",
      "       277.        , 277.        , 277.        , 277.        ,\n",
      "       277.        , 277.        , 277.        , 277.        ,\n",
      "       295.87829928, 294.3608304 , 292.82118749, 291.25227776,\n",
      "       289.64691647, 287.9979844 , 286.29881066, 284.54395053,\n",
      "       282.73058708, 280.86074096, 278.94408015, 277.        ,\n",
      "       277.        , 277.        , 277.        , 277.        ,\n",
      "       277.        , 277.        , 277.        , 277.        ,\n",
      "       277.        , 277.        , 277.        , 295.8153787 ,\n",
      "       294.27001036, 292.70459194, 291.11300496, 289.48938082,\n",
      "       287.82834351, 286.12543347, 284.37779248, 282.58517225,\n",
      "       280.75122177, 278.88472703, 277.        , 277.        ,\n",
      "       277.        , 277.        , 277.        , 277.        ,\n",
      "       277.        , 277.        , 277.        , 277.        ,\n",
      "       277.        , 277.        , 295.76626632, 294.1992404 ,\n",
      "       292.61416495, 291.00576932, 289.36925833, 287.70057535,\n",
      "       285.99678723, 284.25661367, 282.48108768, 280.67424685,\n",
      "       278.84360621, 277.        , 277.        , 277.        ,\n",
      "       277.        , 277.        , 277.        , 277.        ,\n",
      "       277.        , 277.        , 277.        , 277.        ,\n",
      "       277.        , 295.72962971, 294.14651998, 292.54705812,\n",
      "       290.92664905, 289.28130784, 287.60791233, 285.90452642,\n",
      "       284.17078731, 282.40831793, 280.62107176, 278.81545094,\n",
      "       277.        , 277.        , 277.        , 277.        ,\n",
      "       277.        , 277.        , 277.        , 277.        ,\n",
      "       277.        , 277.        , 277.        , 277.        ,\n",
      "       295.70433047, 294.11015169, 292.50089852, 290.87246091,\n",
      "       289.22141163, 287.54523972, 285.8426188 , 284.11369122,\n",
      "       282.36032497, 280.58627131, 278.7971258 , 277.        ,\n",
      "       277.        , 277.        , 277.        , 277.        ,\n",
      "       277.        , 277.        , 277.        , 277.        ,\n",
      "       277.        , 277.        , 277.        , 295.68950738,\n",
      "       294.08885779, 292.47392337, 290.84088444, 289.18663806,\n",
      "       287.5090161 , 285.80701787, 284.08103378, 282.33301941,\n",
      "       280.56656273, 278.78678095, 277.        , 277.        ,\n",
      "       277.        , 277.        , 277.        , 277.        ,\n",
      "       277.        , 277.        , 277.        , 277.        ,\n",
      "       277.        , 277.        , 295.68462656, 294.08184871,\n",
      "       292.46505272, 290.83051542, 289.17524008, 287.49716877,\n",
      "       285.79540278, 284.07040663, 282.32415617, 280.56017923,\n",
      "       278.78343528, 277.        , 277.        , 277.        ,\n",
      "       277.        , 277.        , 277.        , 277.        ,\n",
      "       277.        , 277.        , 277.        , 277.        ,\n",
      "       277.        ])\n",
      "T_map_rounded:\n",
      "array([[298.71, 298.49, 298.27, 298.04, 297.82, 297.6 , 297.39, 297.18,\n",
      "        296.98, 296.79, 296.61, 296.44, 296.29, 296.16, 296.05, 295.96,\n",
      "        295.88, 295.82, 295.77, 295.73, 295.7 , 295.69, 295.68],\n",
      "       [298.49, 298.16, 297.84, 297.52, 297.2 , 296.88, 296.56, 296.26,\n",
      "        295.96, 295.68, 295.42, 295.18, 294.96, 294.77, 294.61, 294.47,\n",
      "        294.36, 294.27, 294.2 , 294.15, 294.11, 294.09, 294.08],\n",
      "       [298.27, 297.84, 297.42, 296.99, 296.57, 296.15, 295.73, 295.32,\n",
      "        294.93, 294.56, 294.21, 293.89, 293.61, 293.36, 293.15, 292.97,\n",
      "        292.82, 292.7 , 292.61, 292.55, 292.5 , 292.47, 292.47],\n",
      "       [298.04, 297.52, 296.99, 296.46, 295.93, 295.41, 294.89, 294.38,\n",
      "        293.88, 293.41, 292.97, 292.57, 292.21, 291.91, 291.64, 291.43,\n",
      "        291.25, 291.11, 291.01, 290.93, 290.87, 290.84, 290.83],\n",
      "       [297.82, 297.2 , 296.57, 295.93, 295.3 , 294.67, 294.04, 293.41,\n",
      "        292.81, 292.23, 291.69, 291.21, 290.78, 290.41, 290.1 , 289.85,\n",
      "        289.65, 289.49, 289.37, 289.28, 289.22, 289.19, 289.18],\n",
      "       [297.6 , 296.88, 296.15, 295.41, 294.67, 293.92, 293.17, 292.43,\n",
      "        291.71, 291.02, 290.37, 289.78, 289.27, 288.85, 288.5 , 288.22,\n",
      "        288.  , 287.83, 287.7 , 287.61, 287.55, 287.51, 287.5 ],\n",
      "       [297.39, 296.56, 295.73, 294.89, 294.04, 293.17, 292.3 , 291.44,\n",
      "        290.58, 289.75, 288.98, 288.28, 287.69, 287.21, 286.83, 286.53,\n",
      "        286.3 , 286.13, 286.  , 285.9 , 285.84, 285.81, 285.8 ],\n",
      "       [297.18, 296.26, 295.32, 294.38, 293.41, 292.43, 291.44, 290.43,\n",
      "        289.42, 288.43, 287.5 , 286.68, 286.  , 285.47, 285.07, 284.77,\n",
      "        284.54, 284.38, 284.26, 284.17, 284.11, 284.08, 284.07],\n",
      "       [296.98, 295.96, 294.93, 293.88, 292.81, 291.71, 290.58, 289.42,\n",
      "        288.24, 287.06, 285.93, 284.93, 284.16, 283.61, 283.21, 282.93,\n",
      "        282.73, 282.59, 282.48, 282.41, 282.36, 282.33, 282.32],\n",
      "       [296.79, 295.68, 294.56, 293.41, 292.23, 291.02, 289.75, 288.43,\n",
      "        287.06, 285.64, 284.22, 282.94, 282.11, 281.58, 281.24, 281.02,\n",
      "        280.86, 280.75, 280.67, 280.62, 280.59, 280.57, 280.56],\n",
      "       [296.61, 295.42, 294.21, 292.97, 291.69, 290.37, 288.98, 287.5 ,\n",
      "        285.93, 284.22, 282.37, 280.52, 279.75, 279.37, 279.16, 279.03,\n",
      "        278.94, 278.88, 278.84, 278.82, 278.8 , 278.79, 278.78],\n",
      "       [296.44, 295.18, 293.89, 292.57, 291.21, 289.78, 288.28, 286.68,\n",
      "        284.93, 282.94, 280.52, 277.  , 277.  , 277.  , 277.  , 277.  ,\n",
      "        277.  , 277.  , 277.  , 277.  , 277.  , 277.  , 277.  ],\n",
      "       [296.29, 294.96, 293.61, 292.21, 290.78, 289.27, 287.69, 286.  ,\n",
      "        284.16, 282.11, 279.75, 277.  , 277.  , 277.  , 277.  , 277.  ,\n",
      "        277.  , 277.  , 277.  , 277.  , 277.  , 277.  , 277.  ],\n",
      "       [296.16, 294.77, 293.36, 291.91, 290.41, 288.85, 287.21, 285.47,\n",
      "        283.61, 281.58, 279.37, 277.  , 277.  , 277.  , 277.  , 277.  ,\n",
      "        277.  , 277.  , 277.  , 277.  , 277.  , 277.  , 277.  ],\n",
      "       [296.05, 294.61, 293.15, 291.64, 290.1 , 288.5 , 286.83, 285.07,\n",
      "        283.21, 281.24, 279.16, 277.  , 277.  , 277.  , 277.  , 277.  ,\n",
      "        277.  , 277.  , 277.  , 277.  , 277.  , 277.  , 277.  ],\n",
      "       [295.96, 294.47, 292.97, 291.43, 289.85, 288.22, 286.53, 284.77,\n",
      "        282.93, 281.02, 279.03, 277.  , 277.  , 277.  , 277.  , 277.  ,\n",
      "        277.  , 277.  , 277.  , 277.  , 277.  , 277.  , 277.  ],\n",
      "       [295.88, 294.36, 292.82, 291.25, 289.65, 288.  , 286.3 , 284.54,\n",
      "        282.73, 280.86, 278.94, 277.  , 277.  , 277.  , 277.  , 277.  ,\n",
      "        277.  , 277.  , 277.  , 277.  , 277.  , 277.  , 277.  ],\n",
      "       [295.82, 294.27, 292.7 , 291.11, 289.49, 287.83, 286.13, 284.38,\n",
      "        282.59, 280.75, 278.88, 277.  , 277.  , 277.  , 277.  , 277.  ,\n",
      "        277.  , 277.  , 277.  , 277.  , 277.  , 277.  , 277.  ],\n",
      "       [295.77, 294.2 , 292.61, 291.01, 289.37, 287.7 , 286.  , 284.26,\n",
      "        282.48, 280.67, 278.84, 277.  , 277.  , 277.  , 277.  , 277.  ,\n",
      "        277.  , 277.  , 277.  , 277.  , 277.  , 277.  , 277.  ],\n",
      "       [295.73, 294.15, 292.55, 290.93, 289.28, 287.61, 285.9 , 284.17,\n",
      "        282.41, 280.62, 278.82, 277.  , 277.  , 277.  , 277.  , 277.  ,\n",
      "        277.  , 277.  , 277.  , 277.  , 277.  , 277.  , 277.  ],\n",
      "       [295.7 , 294.11, 292.5 , 290.87, 289.22, 287.55, 285.84, 284.11,\n",
      "        282.36, 280.59, 278.8 , 277.  , 277.  , 277.  , 277.  , 277.  ,\n",
      "        277.  , 277.  , 277.  , 277.  , 277.  , 277.  , 277.  ],\n",
      "       [295.69, 294.09, 292.47, 290.84, 289.19, 287.51, 285.81, 284.08,\n",
      "        282.33, 280.57, 278.79, 277.  , 277.  , 277.  , 277.  , 277.  ,\n",
      "        277.  , 277.  , 277.  , 277.  , 277.  , 277.  , 277.  ],\n",
      "       [295.68, 294.08, 292.47, 290.83, 289.18, 287.5 , 285.8 , 284.07,\n",
      "        282.32, 280.56, 278.78, 277.  , 277.  , 277.  , 277.  , 277.  ,\n",
      "        277.  , 277.  , 277.  , 277.  , 277.  , 277.  , 277.  ]])\n"
     ]
    }
   ],
   "source": [
    "T = np.linalg.solve(A,B) #this gives us x, the column vector of all the nodal temperatures\n",
    "\n",
    "T_map = T.reshape(n,m) #we then reshape the column vector into a matrix of dimension n x m\n",
    "                       #reshaping in this way allows us to map the entries to the domain\n",
    "                       #the first entry in the top left is T_0. the next entry to the right is T_1. the entry underneath T_0 is T_5 and so forth. \n",
    "                       #Thus, this matrix is the temperature map\n",
    "\n",
    "T_map_rounded = np.around(T_map, decimals=2) #the solution has values with more significant figures than you probably need, so just set decimals to how ever many significant figures you want\n",
    "\n",
    "#We'll print T just in case you find that easier to work with when you are looking for a specific nodal temperature\n",
    "print(\"T:\")\n",
    "pprint(T)\n",
    "\n",
    "print(\"T_map_rounded:\")\n",
    "pprint(T_map_rounded)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f65c777a",
   "metadata": {},
   "source": [
    "# 6. Visualization\n",
    "\n",
    "Here is code that generates a heat map of our solution. <br>\n",
    "Recall that the inside of the corner is filled in with nodes at ```T_int```.\n",
    "\n",
    "### Question for you\n",
    "How do you map physical lengths to the node locations of the heat map below?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "6172ddfb",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.heatmap(T_map_rounded, linewidth=0.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4d0b134",
   "metadata": {},
   "source": [
    "# 7. Things to think about and try out\n",
    "\n",
    "This is the end of the example. Hopefully the entire analysis and solution process came through to you, such that you are now primed to pose, code, and solve problems of your very own. If you want a deeper dive into solution methods such as this, serach \"finite difference methods\". \n",
    "<br> \n",
    "<br>\n",
    "But before you go, here are some things you can think about or try out:\n",
    "<br>\n",
    "1. What will the result be if ```h=0```? Take a guess before trying it out in the script. Once you see the result from the script, how do you explain it?\n",
    "<br>\n",
    "2. Explore the role of the convection heat transfer coefficient by varying that while ```k``` is constant.\n",
    "<br>\n",
    "3. Explore the role of thermal conductivity by varying that while ```h``` is constant.\n",
    "<br>\n",
    "4. Derive the relevant nodal equations for different boundary conditions.\n",
    "<br>\n",
    "5. We used a constant $\\Delta x$ and $\\Delta y$. As we said earlier, this was mainly to create a simple yet illustrative example of the numerical solution method. Part of the power of numerical methods is that $\\Delta x$ and $\\Delta y$ can vary. This complicates the problem with more and more unique equations of course, but in return you have the freedom to vary how you create rectangles as your situation requires. What are situations you can think of where you would want to vary $\\Delta x$ or $\\Delta y$?"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}