search.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# The search.py module"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Introduction\n",
    "============\n",
    "\n",
    "Hello!\n",
    "In this IPython notebook, we'll study different kinds of search techniques used in [ search.py ]( https://github.com/aimacode/aima-python/blob/master/search.py ) and try to get an intuition of what search algorithms are best suited for various problems. We first explore uninformed search algorithms and later get our hands on heuristic search strategies.\n",
    "\n",
    "The code in this IPython notebook, and the entire `aima-python` repository is intended to work with Python 3 (specifically, Python 3.4). So if you happen to be working on Python 2, you should switch to Python 3. For more help on how to install python3, or if you are having other problems, you can always have a look the `intro` IPython notebook. \n",
    "\n",
    "Now that you have all that sorted out, let's get started!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Uninformed Search Strategies"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Uninformed Search strategies are called `blind search`. In such search strategies, the only information we have about any state is generated by checking if a piece of data, or any of its successors, matches our `goal state` or not. THAT'S IT. NOTHING MORE. (Well ....not really. See the `value` method defined in the following section).\n",
    "\n",
    "First let's formulate the problem we intend to solve. So let's import everything from our module."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from search import *"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The search and other modules of the repository make use of several imports from the utils module. We will point the useful ones out if they are required to follow the material below. Don't worry. You don't need to read utils.py in order to understand search algorithms.\n",
    "    \n",
    "The `Problem` class is an abstract class on which we define our problems(*duh*).\n",
    "Again, if you are confused about what `abstract class` means have a look at the `Intro` notebook.\n",
    "The `Problem` class has six methods.\n",
    "* `__init__(self, initial, goal)` : This is what is called a `constructor` and is the first method called when you create an instance of class. In this and all of the below methods `self` refers to the object itself--the object whose method is called. `initial` specifies the initial state of our search problem. It represents the start state from where our agent begins his task of exploration to find the goal state(s) which is given in the `goal` parameter.\n",
    "* `actions(self, state)` : This method returns all the possible actions our agent can make in state `state`.\n",
    "* `result(self, state, action)` : This returns the resulting state if action `action` is taken in the state `state`. This `Problem` class only deals with deterministic outcomes. So we know for sure what every action in a state would result to.\n",
    "* `goal_test(self, state)` : Given a graph state, it checks if it is a terminal state. If the state is indeed a goal state, value of `True` is returned. Else, of course, `False` is returned.\n",
    "* `path_cost(self, c, state1, action, state2)` : Return the cost of the path that arrives at `state2` as a result of taking `action` from `state1`, assuming total cost of `c` to get up to `state1`.\n",
    "* `value(self, state)` : This acts as a bit of extra information in problems where we try to optimize a value when we cannot do a goal test."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now the above abstract class acts as a parent class, and there is another named called `GraphProblem` in our module. It creates a graph problem from an instance of the `Graph` class. To create a graph, simply type `graph = Graph(dict(...))`. The dictionary must contain nodes of the graph as keys, so make sure they are `hashable`. If you don't know what that means just use strings or numbers. Each node contains the adjacent nodes as keys and the edge length as its value. Each dictionary then should correspond to another dictionary in the graph.  The `Graph` class creates a directed(edges allow only one way traffic) by default. If you want to make an undirected graph, use `UndirectedGraph` instead, but make sure to mention any edge in only one of its nodes."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you didn't understand the above paragraph, `Fret not!`. Just think of the below code as a magicical method to create a simple undirected graph. I'll explain what it is about later."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "museum_graph = UndirectedGraph(dict(\n",
    "    Start = dict(Dog = 3, Cat = 9, Mouse = 4),\n",
    "    Dog = dict(Bear = 7),\n",
    "    Cat = dict(Monkey = 9, Fish = 8, Penguin = 3),\n",
    "    Mouse = dict(Penguin = 2),\n",
    "    Bear = dict(Monkey = 7),\n",
    "    Monkey = dict(Giraffe = 11, Fish = 6),\n",
    "    Fish = dict(Giraffe = 8),\n",
    "    Penguin = dict(Parrot = 4, Elephant = 6),\n",
    "    Giraffe = dict(Hen = 5),\n",
    "    Parrot = dict(Hen = 10),\n",
    "    Elephant = dict(Hen = 9)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Imagine we are in a museum showcasing statues of various animals. To navigate through the museum there are paths between some statues and the entrance. We define the entrance and the statues as nodes in our graph with the path connecting them as edges. The cost/weight of an edge specifies is its length. So `Start = dict(Dog = 3, Cat = 9, Mouse = 4)` means that there are paths from `Start` to `Dog`, `Cat` and `Mouse` with path costs 3, 9 and 4 respectively. \n",
    "\n",
    "Here's an image below to better understand our graph."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"images/search_animal.svg\" width=\"80%\">\n",
    "<!-- Theses lovely animal icons were reproduced courtesy of Creative Tail https://www.creativetail.com/40-free-flat-animal-icons/ -->\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Breadth First Search"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In Breadth First Search, the `shallowest` unexpanded node is chosen for expansion. That means that all nodes of a given depth must be expanded before any node of the next depth level. This search strategy accomplishes this by using a `FIFO` meaning 'First In First Out' queue. Anything that gets in the queue first also gets out first just like the checkout queue in a supermarket. To use the algorithm, first we need to define our problem. Say we want to find the statue of `Monkey` and we start from the entrance which is the `Start` state. We'll define our problem using the `GraphProblem` class."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "monkey_problem = GraphProblem('Start', 'Monkey', museum_graph)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's find the solution for our problem using the `breadth_first_search` method. Note that it returns a `Node` from which we can find the solution by looking at the path that was taken to reach there."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Cat', 'Monkey']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bfs_node = breadth_first_search(monkey_problem)\n",
    "bfs_node.solution()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We get the output as `['Cat', 'Monkey']`. That is because first the nodes `Dog`, `Cat` and `Mouse` are added to the `FIFO` queue in `some` order when we are expanding the `Start` node. Now when we start expanding nodes in the next level, only the `Cat` node gets us to `Monkey`. Note that during a breadth first search, the goal test is done when the node is being added to the queue."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Uniform-cost Search"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In Uniform-cost Search, we expand the node with the lowest path cost (the cost to reach that node from the start) instead of expanding the shallowest node. Rather than a `FIFO` queue, we use something called a `priority queue` which selects the element with the highest `priority` of all elements in the queue. For our problem, the shortest path between animals has the higher priority; the shortest path has the lowest path cost. Whenever we need to enqueue a node already in the queue, we will update its path cost if the newer path is better. This is a very important step, and it means that the path cost to a node may keep getting better until it is selected for expansion. This is the reason that we do a goal check only when a node is selected for expanion."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Dog', 'Bear', 'Monkey']"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ucs_node = uniform_cost_search(monkey_problem)\n",
    "ucs_node.solution()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We got the path`['Dog', 'Bear', 'Monkey']` instead of `['Cat', 'Monkey']`. Why? The path cost is lower! We can also see the path cost with the path_cost attribute. Let's compare the path cost of the Breadth first search solution and Uniform cost search solution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(18, 17)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bfs_node.path_cost, ucs_node.path_cost"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We were right! \n",
    "\n",
    "The path cost through the `Cat` statue is indeed more than the path cost through `Dog` even though the former passes through two roads compared to the three roads in the `ucs_node` solution."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# Romania map visualisation\n",
    "\n",
    "Let's have a visualisation of Romania map [Figure 3.2] from the book and see how different searching algorithms perform / how frontier expands in each search algorithm for a simple problem to reach 'Bucharest' starting from 'Arad'. This is how the problem is defined:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "romania_problem = GraphProblem('Oradea', 'Fagaras', romania_map)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Have a look at `romania_locations`. It is a dictionary defined in search module. We will use these location values to draw the romania graph using **networkx**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'Neamt': (406, 537), 'Giurgiu': (375, 270), 'Vaslui': (509, 444), 'Lugoj': (165, 379), 'Fagaras': (305, 449), 'Sibiu': (207, 457), 'Bucharest': (400, 327), 'Iasi': (473, 506), 'Oradea': (131, 571), 'Craiova': (253, 288), 'Rimnicu': (233, 410), 'Drobeta': (165, 299), 'Hirsova': (534, 350), 'Eforie': (562, 293), 'Pitesti': (320, 368), 'Arad': (91, 492), 'Zerind': (108, 531), 'Urziceni': (456, 350), 'Mehadia': (168, 339), 'Timisoara': (94, 410)}\n"
     ]
    }
   ],
   "source": [
    "romania_locations = romania_map.locations\n",
    "print(romania_locations)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import networkx as nx\n",
    "import matplotlib.pyplot as plt\n",
    "import pickle\n",
    "from networkx.readwrite import json_graph\n",
    "from copy import copy, deepcopy\n",
    "import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# initialise a graph\n",
    "G = nx.Graph()\n",
    "\n",
    "# use this while labeling nodes in the map\n",
    "node_labels = dict()\n",
    "node_colors = dict()\n",
    "\n",
    "for n, p in romania_locations.items():\n",
    "    # add nodes from romania_locations\n",
    "    G.add_node(n)\n",
    "    # add nodes to node_labels\n",
    "    node_labels[n] = n\n",
    "    # node_colors to color nodes while exploring romania map\n",
    "    node_colors[n] = \"w\"\n",
    "\n",
    "# positions for node labels\n",
    "node_label_pos = {k:[v[0],v[1]-10] for k,v in romania_locations.items()}\n",
    "\n",
    "# use thi whiel labeling edges\n",
    "edge_labels = dict()\n",
    "\n",
    "# add edges between cities in romania map - UndirectedGraph defined in search.py\n",
    "for node in romania_map.nodes():\n",
    "    connections = romania_map.get(node)\n",
    "    for connection in connections.keys():\n",
    "        distance = connections[connection]\n",
    "        # add edges to the graph\n",
    "        G.add_edge(node, connection)\n",
    "        # add distances to edge_labels\n",
    "        edge_labels[(node, connection)] = distance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def show_map(node_colors):\n",
    "    # set the size of the plot\n",
    "    plt.figure(figsize=(18,13))\n",
    "    # draw the graph with locations from romania_locations\n",
    "    nx.draw(G, pos = romania_locations, node_color = [node_colors[node] for node in G.nodes()])\n",
    "\n",
    "    # draw labels for nodes\n",
    "    node_label_handles = nx.draw_networkx_labels(G, pos = node_label_pos, labels = node_labels, font_size = 14)\n",
    "    # add a white bounding box behind the node labels\n",
    "    [label.set_bbox(dict(facecolor='white', edgecolor='none')) for label in node_label_handles.values()]\n",
    "\n",
    "    # add edge lables to the graph\n",
    "    nx.draw_networkx_edge_labels(G, pos = romania_locations, edge_labels=edge_labels, font_size = 14)\n",
    "\n",
    "    # show the plot. No need to use in notebooks. nx.draw will show the graph itself.\n",
    "#     plt.clf()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABT8AAAPJCAYAAADUK1wEAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3Xd4jufj/vHzSSIESYiRSIPYJBKt2lUaFFWrqG/FKD40\nn0SM1uiwYpbGrNlqo4rQonQoahQttZqiIiilZiNIYoWs5/dHf/JtvmjJupM779dx5DjkHtd9Pvkj\nnpzPdV+3xWq1WgUAAAAAAAAAJmNjdAAAAAAAAAAAyA6UnwAAAAAAAABMifITAAAAAAAAgClRfgIA\nAAAAAAAwJcpPAAAAAAAAAKZE+QkAAAAAAADAlCg/AQAAAAAAAJgS5ScAAAAAAAAAU6L8BAAAAAAA\nAGBKlJ8AAAAAAAAATInyEwAAAAAAAIApUX4CAAAAAAAAMCXKTwAAAAAAAACmRPkJAAAAAAAAwJQo\nPwEAAAAAAACYEuUnAAAAAAAAAFOi/AQAAAAAAABgSpSfAAAAAAAAAEyJ8hMAAAAAAACAKVF+AgAA\nAAAAADAlyk8AAAAAAAAApkT5CQAAAAAAAMCUKD8BAAAAAAAAmBLlJwAAAAAAAABTovwEAAAAAAAA\nYEqUnwAAAAAAAABMifITAAAAAAAAgClRfgIAAAAAAAAwJcpPAAAAAAAAAKZE+QkAAAAAAADAlCg/\nAQAAAAAAAJgS5ScAAAAAAAAAU6L8BAAAAAAAAGBKlJ8AAAAAAAAATInyEwAAAAAAAIApUX4CAAAA\nAAAAMCXKTwAAAAAAAACmRPkJAAAAAAAAwJQoPwEAAAAAAACYEuUnAAAAAAAAAFOi/AQAAAAAAABg\nSpSfAAAAAAAAAEyJ8hMAAAAAAACAKVF+AgAAAAAAADAlyk8AAAAAAAAApkT5CQAAAAAAAMCUKD8B\nAAAAAAAAmBLlJwAAAAAAAABTovwEAAAAAAAAYEqUnwAAAAAAAABMifITAAAAAAAAgClRfgIAAAAA\nAAAwJcpPAAAAAAAAAKZE+QkAAAAAAADAlCg/AQAAAAAAAJgS5ScAAAAAAAAAU6L8BAAAAAAAAGBK\nlJ8AAAAAAAAATInyEwAAAAAAAIApUX4CAAAAAAAAMCXKTwAAAAAAAACmRPkJAAAAAAAAwJQoPwEA\nAAAAAACYEuUnAAAAAAAAAFOi/AQAAAAAAABgSpSfAAAAAAAAAEyJ8hMAAAAAAACAKVF+AgAAAAAA\nADAlyk8AAAAAAAAApkT5CQAAAAAAAMCUKD8BAAAAAAAAmBLlJwAAAAAAAABTovwEAAAAAAAAYEqU\nnwAAAAAAAABMifITAAAAAAAAgClRfgIAAAAAAAAwJcpPAAAAAAAAAKZE+QkAAAAAAADAlCg/AQAA\nAAAAAJgS5ScAAAAAAAAAU6L8BAAAAAAAAGBKlJ8AAAAAAAAATInyEwAAAAAAAIApUX4CAAAAAAAA\nMCXKTwAAAAAAAACmRPkJAAAAAAAAwJQoPwEAAAAAAACYEuUnAAAAAAAAAFOi/AQAAAAAAABgSpSf\nAAAAAAAAAEyJ8hMAAAAAAACAKVF+AgAAAAAAADAlyk8AAAAAAAAApkT5CQAAAAAAAMCUKD8BAAAA\nAAAAmBLlJwAAAAAAAABTovwEAAAAAAAAYEqUnwAAAAAAAABMifITAAAAAAAAgClRfgIAAAAAAAAw\nJcpPAAAAAAAAAKZE+QkAAAAAAADAlCg/AQAAAAAAAJgS5ScAAAAAAAAAU6L8BAAAAAAAAGBKlJ8A\nAAAAAAAATInyEwAAAAAAAIApUX4CAAAAAAAAMCXKTwAAAAAAAACmRPkJAAAAAAAAwJQoPwEAAAAA\nAACYEuUnAAAAAAAAAFOi/AQAAAAAAABgSpSfAAAAAAAAAEyJ8hMAAAAAAACAKVF+AgAAAAAAADAl\nyk8AAAAAAAAApkT5CQAAAAAAAMCUKD8BAAAAAAAAmBLlJwAAAAAAAABTovwEAAAAAAAAYEqUnwAA\nAAAAAABMifITAAAAAAAAgClRfgIAAAAAAAAwJcpPAAAAAAAAAKZE+QkAAAAAAADAlCg/AQAAAAAA\nAJgS5ScAAAAAAAAAU6L8BAAAAAAAAGBKlJ8AAAAAAAAATInyEwAAAAAAAIApUX4CAAAAAAAAMCXK\nTwAAAAAAAACmRPkJAAAAAAAAwJQoPwEAAAAAAACYEuUnAAAAAAAAAFOi/AQAAAAAAABgSpSfAAAA\nAAAAAEyJ8hMAAAAAAACAKVF+AgAAAAAAADAlyk8AAAAAAAAApkT5CQAAAAAAAMCUKD8BAAAAAAAA\nmBLlJwAAAAAAAABTovwEAAAAAAAAYEqUnwAAAAAAAABMifITAAAAAAAAgClRfgIAAAAAAAAwJcpP\nAAAAAAAAAKZE+QkAAAAAAADAlCg/AQAAAAAAAJgS5ScAAAAAAAAAU6L8BAAAAAAAAGBKlJ8AAAAA\nAAAATInyEwAAAAAAAIApUX4CAAAAAAAAMCXKTwAAAAAAAACmRPkJAAAAAAAAwJQoPwEAAAAAAACY\nEuUnAAAAAAAAAFOi/AQAAAAAAABgSpSfAAAAAAAAAEyJ8hMAAAAAAACAKVF+AgAAAAAAADAlyk8A\nAAAAAAAApkT5CSDDkpKSlJKSYnQMAAAAAACAB6L8BPDIUlNTtWHDBrVr105FixaVg4OD7O3tVapU\nKQUFBenIkSNGRwQAAAAAAEhD+QngkaxevVpVqlTRqFGj9NJLL+n8+fNKSkpSYmKiDhw4IFdXV7Vq\n1UpNmzZVVFSU0XEBAAAAAABksVqtVqNDAMjdZsyYoVmzZik8PFzPPPOMLBbLA49LSkpSWFiYxowZ\noy+++ELPPPNMDicFAAAAAAD4X5SfAP7RkiVLFBISoh9++EEeHh6PdM6mTZvUq1cvbd++XTVq1Mjm\nhAAAAAAAAA9G+QngoeLi4lShQgXt3r37sUvM+fPna9WqVfr++++zKR0AAAAAAMA/Y81PAA+1ZMkS\ntWnTJkOzN/v166djx46x/icAAAAAADAM5SeAB7JarZo/f76CgoIydL69vb369eunBQsWZHEyAAAA\nAACAR0P5CeCBjhw5opSUFDVq1CjDY/Tu3VurV6/OwlQAAAAAAACPjvITwANdvnxZ5cqVe+iT3R+F\nh4eHYmJixNLCAAAAAADACJSfAB4oOTlZtra2mRrDzs5OqamplJ8AAAAAAMAQlJ8AHsjFxUVXrlzJ\n1BhXrlyRs7OzbGz4VQMAAAAAAHIejQSAB/Lx8dGFCxd08uTJDI+xZs0a+fn5ZWEqAAAAAACAR0f5\nCeCBChUqpD59+mjhwoUZOv/e0+IHDBiQxckAAAAAAAAeDeUngIcKCAjQJ598ovj4+Mc+d+vWrUpO\nTmbmJwAAAAAAMAzlJ4CHqlixorp3767OnTsrMTHxkc87c+aMXn31VYWGhmbqafEAAAAAAACZQfkJ\n4B/NmDFDxYoV0wsvvKC4uLh/Pf7QoUNq0qSJRo4cqXbt2uVAQgAAAAAAgAej/ATwj2xtbfXZZ5/J\nx8dH5cuX14ABA3T8+PF0x1itVm3dulUdOnRQw4YNNWXKFAUFBRmUGAAAAAAA4C92RgcAkPvZ2toq\nJCREn376qVJSUtSkSROVKlVKJUuWVFJSks6dOydnZ2cFBQXp2rVrio2NNToyAAAAAACALFar1Wp0\nCAC539ixY/XHH3/ok08+0d27dxUVFaXY2FjZ2dmpVKlSqlatmiwWi44cOaJmzZopMjJSpUqVMjo2\nAAAAAADIxyg/AQAAAAAAAJgSa34CAAAAAAAAMCXKTwAAAAAAAACmRPkJAAAAAAAAwJQoPwFkudWr\nV8vGhl8vAAAAAADAWLQTQD5w8eJFvfbaaypbtqwKFiwoDw8Pvfbaa7pw4UK2XM9ischisWTL2AAA\nAAAAAI+K8hMwuTNnzqhOnTo6evSoli5dqlOnTmn58uWKjIxU3bp1dfbs2Qeel5SUlMNJAQAAAAAA\nshblJ2ByQUFBsrW11datW/Xcc8/Jw8NDTZs21ZYtW2RjY6MBAwZIkvz8/BQUFKThw4erdOnSaty4\nsSRp5syZqlWrlooWLSoPDw/1799f8fHx6a7x6aefytPTU0WLFlX79u0VHR19X46vv/5aderUkYOD\ngypVqqRRo0alK1iXL1+uevXqycnJSa6ururatasuXryYjT8ZAAAAAABgdpSfgInFxsZq06ZNCg4O\nVsGCBdPtc3BwUFBQkDZs2JBWZi5fvlyS9OOPP+rTTz+VJNna2mr27Nk6evSoVqxYof3792vQoEFp\n4+zdu1d9+vTRf//7Xx08eFDt2rXTmDFj0l1r06ZN6tGjhwYNGqSoqCiFhYVpzZo1GjlyZNoxSUlJ\nGj9+vA4fPqz169fr6tWr8vf3z5afCwAAAAAAyB8sVqvVanQIANlj3759atCggdauXasOHTrct3/d\nunXq3Lmz9u7dq+HDhys2NlYHDx78xzE3bdqkjh07KiEhQZLUvXt3XblyRZs2bUo7pn///goLC1NK\nSookqWnTpmrZsmW6svPLL79Ujx49dOPGjQde59ixY/Ly8tL58+fl7u7+2K8dAAAAAACAmZ8A0jz9\n9NP3bdu2bZtatmypsmXLysnJSZ06dVJiYqL+/PNPSVJUVJQaNmyY7pz/+/3PP/+sSZMmydHRMe3L\n399fCQkJabfIR0REqGPHjvL09JSTk5Pq1q0ri8Xy0DVJAQAAAAAA/g3lJ2BilStXlsVi0dGjRx+4\nPzIyUhaLRZUrV5YkFSlSJN3+s2fPqm3btvL29tbq1asVERGhsLAwSVJiYuIj50hNTdXYsWN16NCh\ntK9ff/1VJ06cUKlSpXT79m21bt1aRYsW1bJly3TgwAFt3LhRVqv1sa4DAAAAAADwd3ZGBwCQfVxc\nXNSqVSvNnz9fr7/+ugoVKpS27/bt25o/f77atGmjYsWKPfD8AwcOKCkpSTNmzJDFYpEkffXVV+mO\nqVGjhvbs2ZNu208//ZTu+9q1a+vYsWOqWLHiA69z7NgxXb16VZMmTVL58uUlSUeOHEm7JgAAAAAA\nQEYw8xMwublz5yo5OVktWrTQ999/r/Pnz2v79u1q2bJl2v6HqVKlilJTUzVz5kydOXNGK1as0OzZ\ns9MdM2jQIG3ZskVTpkzRyZMntWjRIq1bty7dMWPGjFF4eLjGjh2ryMhIHT9+XGvWrNGbb74pSSpX\nrpwKFiyoOXPm6PTp01q/fv19D00CAAAAAAB4XJSfgMlVrFhRBw4ckLe3t3r16qVKlSqpR48e8vb2\n1v79+1WuXDlJeuAsSx8fH82ePVszZ86Ut7e3wsLCNH369HTH1K9fXx9//LEWLlyoWrVqad26dRo3\nbly6Y1q2bKn169dr+/btql+/vurXr6+pU6emzfIsWbKklixZoi+//FLe3t6aMGGCZs6cmU0/EQAA\nAAAAkF/wtHcAAAAAAAAApsTMTwAAAAAAAACmRPkJAAAAAAAAwJQoPwEAAAAAAACYEuUnAAAAAAAA\nAFOi/AQAAAAAAABgSpSfAAAAAAAAAEyJ8hNArjB27Fi98sorRscAAAAAAAAmYrFarVajQwDA7du3\n5eXlpcWLF8vPz8/oOAAAAAAAwASY+QkgVyhcuLBmzJihgQMHKikpyeg4AAAAAADABCg/AeQaL730\nktzd3TVv3jyjowAAAAAAABPgtnfAxBITE2Vvb290jMdy7NgxNW7cWEeOHJGbm5vRcQAAAAAAQB5G\n+QmYVHh4uH799Vf17dtXlSpVko3Nwyd6W61WWSyWHEz3z0aMGKHLly/rk08+MToKAAAAAADIwyg/\nAZNydnbWjRs35OrqqoCAAPXq1Uuenp7pStC7d+/K1tZWdnZ2Bia9340bN1SjRg19/vnnatSokdFx\nAAAAAABAHsWan4AJrVq1StWqVdO+ffs0ZMgQzZkzR88884ymTJmiM2fO6N5nHh9//LEWLVpkcNr7\nOTo66r333lNwcLBSUlKMjgMAAAAAAPIoyk/AhJKTk1WvXj25u7vrzTff1NmzZxUYGKj33ntPzz77\nrKZNm6Yff/xRwcHBKlu2rNFxH6hbt24qWrRorixnAQAAAABA3sBt74DJ3Lx5U0WLFtXhw4fl6+ur\n1NTUtFvdr1+/rqlTp2rBggWKi4tTnTp1tG/fPoMTP9zhw4fVokULRUVFqUSJEkbHAQAAAAAAeQzl\nJ2AiiYmJat26taZMmaJ69eql3d5usVjSlaAHDhxQvXr1tHPnTjVu3NjIyP9q0KBBSkpK0oIFC4yO\nAgAAAAAA8hjKT8BE3nzzTYWGhurZZ5/VunXrVLx48Qce179/f33//fc6efJkDid8fHFxcapevbq+\n/fZb1a5d2+g4AAAAAAAgD2HNT8Akbt68qZkzZ2rx4sW6fv26XnnlFV24cEGS0j00KCEhQe7u7goP\nDzcq6mMpVqyYJk2apODgYKWmphodBwAAAAAA5CHM/ARM4rXXXtOJEye0fft2rVy5UsHBweratavm\nz59/37H31gXNK1JTU9WgQQMNGDBAr776qtFxAAAAAABAHkH5CZjAtWvX5Orqql27dqlevXqSpNWr\nVysoKEjdunXTu+++q8KFC6db9zOv2b9/v9q3b69jx47J2dnZ6DgAAAAAACAPsA0JCQkxOgSAzBkx\nYoQKFSqkkSNHKiUlRRaLRdWqVUt7UJCbm5uefvppWSwWo6Nm2BNPPKHjx49r9+7dat26tdFxAAAA\nAABAHsDMT8AEkpKSdOPGDbm4uNy3b8yYMZo1a5ZCQ0MVEBBgQLqsExMTI29vb23btk01a9Y0Og4A\nAAAAAMjlKD8Bk7p3i3tsbKwGDhyoDRs2aMuWLXrqqaeMjpYp8+bN0+rVq7Vt27Y8PZMVAAAAAABk\nv7y5+B+Af3Vvbc/ixYtr0aJFevLJJ1W4cGGDU2VeQECAYmNj9fnnnxsdBQAAAAAA5HLM/ARM7t4M\n0OvXr8vJycnoOFnixx9/VLdu3RQVFZWnnloPAAAAAAByFuUngDypZ8+e8vDw0Lvvvmt0FAAAAAAA\nkEtRfgImkpCQIHt7e9nY2Jh+PcxLly7Jx8dHu3fvVtWqVY2OAwAAAAAAciHKT8BE3nzzTd2+fVtz\n5swxOkqOmD59urZs2aJvv/3W9GUvAAAAAAB4fJSfgElER0fLy8tLhw4dkoeHh9FxckRiYqJq1aql\nqVOnqn379kbHAQAAAAAAuQzlJ2ASr7/+ulJTUzV79myjo+SozZs3KyAgQJGRkXJwcDA6DgAAAAAA\nyEUoPwETuHDhgnx9fRUZGSk3Nzej4+S4Ll26yNfXV2PGjDE6CgAAAAAAyEUoPwETGDBggAoXLqzQ\n0FCjoxjijz/+UO3atfXzzz/L09PT6DgAAAAAACCXoPwE8rh7xd+xY8dUqlQpo+MYZuLEiYqIiNAX\nX3xhdBQAAAAAAJBLUH4CeVz//v1VunRpTZo0yegohrpz5468vb01f/58tWrVyug4AAAAAAAgF6D8\nBPKwU6dOqX79+jpx4oRcXFyMjmO4b775RkOHDtWvv/4qe3t7o+MAAJDnJSYmKiIiQlevXpUklShR\nQrVr1+b/WQAAkGdQfgJ52KuvvqqKFStq7NixRkfJNdq2basmTZpoxIgRRkcBACDPOn/+vD788EMt\nWrRIrq6uKlOmjCTp0qVLio6OVv/+/fXaa6/Jw8PD4KQAAAD/zMboAAAy5tixY9qwYYOGDBlidJRc\nZdasWXrvvfd04cIFo6MAAJDnWK1WTZgwQb6+vrp27Zq2bNmigwcPasOGDdqwYYMOHjyorVu3KjY2\nVr6+vho3bpyYSwEAAHIzZn4CeVS3bt3k6+urt99+2+gouc6oUaN0+vRpLV++3OgoAADkGVarVcHB\nwdq7d6+++eYbubm5/ePx0dHRatu2rerWrat58+bJYrHkUFIAAIBHR/kJ5EFHjhxRixYtdPLkSRUt\nWtToOLnOrVu35OXlpaVLl6pJkyZGxwEAIE8IDQ1VeHi4du7cKUdHx0c658aNG2ratKleeeUVlpwB\nAAC5EuUnkAd17txZjRo10tChQ42OkmutWrVKEyZMUEREhOzs7IyOAwBArnbjxg2VK1dOv/zyizw9\nPR/r3LNnz+rJJ5/UmTNn5OTklD0BAQAAMog1P4E85pdfftGePXsUGBhodJRcrUuXLipVqpQWLFhg\ndBQAAHK9ZcuWqVmzZo9dfEpSuXLl1Lx5cy1btizrgwEAAGQSMz+BPKZdu3Zq2bKlBg4caHSUXO/o\n0aNq2rSpIiMjVbp0aaPjAACQK1mtVvn6+mrWrFlq3rx5hsb4/vvvFRwcrCNHjrD2JwAAyFUoP4E8\nZO/evXr55Zd14sQJFSpUyOg4ecLQoUMVFxenjz/+2OgoAADkSrGxsSpfvrzi4+MzXFxarVYVL15c\nJ0+eVMmSJbM4IQAAQMZx2zuQh4wZM0YjR46k+HwMY8eO1YYNG7R3716jowAAkCvFxsbKxcUlUzM2\nLRaLSpQoodjY2CxMBgAAkHmUn0Ae8eOPP+rEiRPq06eP0VHyFCcnJ02dOlUDBgxQSkqK0XEAAMh1\nChQooOTk5EyPk5SUJHt7+yxIBAAAkHUoP4E8YvTo0RozZgx/VGRAjx49VKhQIYWFhRkdBQCAXKdE\niRK6du2abt26leExbt++ratXr6pEiRJZmAwAACDzKD+BPGDbtm26cOGCevbsaXSUPMlisWju3Lka\nNWqUrl27ZnQcAABylcKFC+v5559XeHh4hsdYsWKFmjdvrqJFi2ZhMgAAgMyj/ARygaSkJK1evVod\nO3ZU3bp15ePjo8aNG+uNN97Q8ePHNXr0aIWEhMjOzs7oqHnWk08+qS5dumj06NFGRwEAINcJCgrS\n/PnzlZFnoVqtVoWGhurJJ5/M0PkAAADZifITMNDdu3c1fvx4eXp6as6cOerSpYvmzZun5cuXa9Kk\nSSpUqJAaN26s3377TWXKlDE6bp43YcIErV69WgcPHjQ6CgAAucrzzz+vmzdv6uuvv37sc9evX6+b\nN29q3bp1ql+/vr777jtKUAAAkGtYrLwzAQwRFxenl156SY6Ojpo8ebJq1qz5wOPu3r2rVatWadiw\nYZo8ebL69u2bw0nNZdGiRVqyZIl++OGHTD3VFgAAs9m9e7c6duyob775RvXq1Xukc/bv368XX3xR\na9euVcOGDbVq1SqNGTNGbm5umjRpkho3bpzNqQEAAP6ZbUhISIjRIYD85u7du3rxxRdVo0YNffrp\np3Jzc3vosXZ2dvL19VX79u3Vp08fPfHEEw8tSvHvnnzySS1cuFBFihSRr6+v0XEAAMg1ypYtqxo1\naqhr165yd3eXl5eXbGwefKNYcnKyVq5cqZ49eyosLEwtWrSQxWJRzZo1FRgYKIvFosGDB+u7775T\njRo1uIMFAAAYhpmfgAHGjBmjw4cP64svvnjoHxUPcvjwYfn5+enIkSP8EZEJe/bsUefOnRUVFSUn\nJyej4wAAkKvs27dPr7/+us6ePauAgAD5+/vLzc1NFotFf/75p8LDw/XBBx/Iw8NDM2fOVP369R84\nzt27d7Vo0SJNnjxZjRo10vjx4+Xl5ZXDrwYAAOR3lJ9ADrt7967Kly+vHTt2qFq1ao99fmBgoMqU\nKaMxY8ZkQ7r8o2/fvnJxcdG0adOMjgIAQK508OBBLViwQF9//bWuXbsmSXJxcVHbtm0VGBiop556\n6pHGuX37tubOnatp06apdevWCgkJUcWKFbMzOgAAQBrKTyCHhYeHa/Hixdq8eXOGzj98+LDatGmj\n06dPq0CBAlmcLv+Ijo5WzZo1tWPHDmahAACQA+Lj4zVz5kzNmTNHL7/8skaNGiUPDw+jYwEAAJOj\n/ARyWKtWrdSvXz+9/PLLGR6jYcOGCgkJUatWrbIwWf7z/vvv66uvvtLmzZt5+BEAAAAAACb06IsN\nAsgS58+fV/Xq1TM1RvXq1XX+/PksSpR/BQUFKTo6WmvWrDE6CgAAAAAAyAaUn0AOS0hIkIODQ6bG\ncHBwUEJCQhYlyr/s7Ow0d+5cvfHGG7p165bRcQAAAAAAQBaj/ARymLOzs+Li4jI1Rnx8vJydnbMo\nUf7WtGlTNW7cWO+++67RUQAAwN/cuXPH6AgAAMAEKD+BHFa7dm1t2bIlw+cnJSXp+++/f+QnrOLf\nhYaGauHChTp58qTRUQAAwP9XpUoVLVq0SElJSUZHAQAAeRjlJ5DDAgMDtXDhQqWkpGTo/C+//FKV\nK1dWzZo1szhZ/vXEE09oxIgRGjJkiNFRAADItN69e8vGxkaTJk1Kt33Hjh2ysbHRtWvXDEr2lyVL\nlsjR0fFfj1u1apVWrlypGjVqaPny5Rl+7wQAAPI3yk8gh9WpU0eurq769ttvM3T+vHnzNGDAgCxO\nhSFDhui3337TN998Y3QUAAAyxWKxyMHBQaGhobp69ep9+4xmtVofKUeDBg20detWffjhh5o7d65q\n1aqltWvXymq15kBKAABgFpSfgAFGjRqlAQMGPPYT22fNmqXLly/rpZdeyqZk+Ze9vb3ef/99DRky\nhDXGAAB5np+fnzw9PTV+/PiHHnP06FG1bdtWTk5OcnV1lb+/v6Kjo9P2HzhwQK1atVKpUqXk7Oys\nZ599Vnv27Ek3ho2NjRYuXKiOHTuqSJEiqlatmrZv364LFy6odevWKlq0qJ566ikdPHhQ0l+zT/v2\n7atbt27JxsZGtra2/5hRkpo1a6bdu3drypQpGjdunOrVq6dNmzZRggIAgEdC+QkYoF27dgoODlaz\nZs106tSpRzpn1qxZmj59ur799lvZ29tnc8L8qVWrVvLx8dH06dONjgIAQKbY2NhoypQpWrhwoU6f\nPn3f/j///FNNmzaVr6+vDhw4oK1bt+rWrVvq0KFD2jE3btxQr169tGvXLu3fv19PPfWUXnzxRcXG\nxqYba9KkSfL399fhw4dVt25dvfLKK+rXr58GDBiggwcPyt3dXb1795YkNWrUSLNmzVLhwoUVHR2t\nS5cuadiwYf/6eiwWi9q2bauIiAgNHz5cgwcPVtOmTfXDDz9k7gcFAABMz2LlI1PAMAsWLNCYMWPU\np08fBQZuaG/AAAAgAElEQVQGqkKFCun2p6SkaP369Zo7d67Onz+vDRs2qHz58galzR9Onz6tunXr\nKiIiQuXKlTM6DgAAj61Pnz66evWqvvrqKzVr1kxubm4KDw/Xjh071KxZM8XExGjWrFn66aeftHnz\n5rTzYmNjVaJECe3bt0916tS5b1yr1aonnnhC06ZNk7+/v6S/StZ33nlHEydOlCRFRkbKx8dHM2fO\n1ODBgyUp3XVdXFy0ZMkSDRw4UNevX8/wa0xOTtayZcs0btw4VatWTZMmTdLTTz+d4fEAAIB5MfMT\nMFBgYKB2796tiIgI+fr6qmXLlho4cKCGDx+ufv36qWLFipo8ebJ69OihiIgIis8cUKFCBQ0cOFBD\nhw41OgoAAJk2depUrVq1Sr/88ku67REREdqxY4ccHR3TvsqVKyeLxZJ2V0pMTIwCAgJUrVo1FStW\nTE5OToqJidHZs2fTjeXj45P2b1dXV0lK92DGe9suX76cZa/Lzs5OvXv31vHjx9W+fXu1b99enTt3\nVmRkZJZdAwAAmIOd0QGA/K5y5cqKjo7W559/rlu3bunixYu6c+eOqlSpoqCgINWuXdvoiPnOiBEj\n5OXlpS1btqhFixZGxwEAIMPq1q2rTp06afjw4Ro9enTa9tTUVLVt21bTp0+/b+3Me2Vlr169FBMT\no9mzZ6t8+fIqWLCgmjVrpsTExHTHFyhQIO3f9x5k9H+3Wa1WpaamZvnrs7e3V1BQkHr37q358+fL\nz89PrVq1UkhIiCpVqpTl1wMAAHkP5SdgMIvFol9//dXoGPgbBwcHzZo1SwMHDtShQ4dYYxUAkKdN\nnjxZXl5e2rhxY9q22rVra9WqVSpXrpxsbW0feN6uXbs0Z84ctW7dWpLS1ujMiL8/3d3e3l4pKSkZ\nGudhChcurGHDhum1117TzJkzVb9+fXXu3FmjR4+Wh4dHll4LAADkLdz2DgAP0L59e3l6emrOnDlG\nRwEAIFMqVaqkgIAAzZ49O23bgAEDFB8fr65du2rfvn06ffq0tmzZooCAAN26dUuSVLVqVS1btkxR\nUVHav3+/unXrpoIFC2Yow99nl3p6eurOnTvasmWLrl69qoSEhMy9wL9xcnLS2LFjdfz4cRUrVky+\nvr56/fXXH/uW+6wuZwEAgHEoPwHgASwWi2bPnq133303w7NcAADILUaPHi07O7u0GZhlypTRrl27\nZGtrqxdeeEE1a9bUwIEDVahQobSCc/Hixbp586bq1Kkjf39//ec//5Gnp2e6cf8+o/NRtzVs2FD/\n/e9/1a1bN5UuXVqhoaFZ+Er/UqJECU2dOlWRkZFKTk5WjRo1NHLkyPueVP9/XbhwQVOnTlXPnj31\nzjvv6O7du1meDQAA5Cye9g4A/+Dtt9/W+fPntXTpUqOjAACADPrjjz80fvx4bdy4UefOnZONzf1z\nQFJTU9WxY0f9+uuv8vf31w8//KBjx45pzpw5+p//+R9ZrdYHFrsAACB3o/wEgH9w8+ZN1ahRQytW\nrFDjxo2NjgMAADIhPj5eTk5ODywxz549q+eff15vvfWW+vTpI0maMmWKNm7cqG+//VaFCxfO6bgA\nACALcNs7kIv16dNH7du3z/Q4Pj4+Gj9+fBYkyn+KFi2qadOmKTg4mPW/AADI45ydnR86e9Pd3V11\n6tSRk5NT2rayZcvq999/1+HDhyVJd+7c0fvvv58jWQEAQNag/AQyYceOHbKxsZGtra1sbGzu+2re\nvHmmxn///fe1bNmyLEqLjOratauKFy+uDz74wOgoAAAgG/z000/q1q2boqKi9PLLLysoKEjbtm3T\nnDlzVLFiRZUqVUqSdPz4cb399tsqU6YM7wsAAMgjuO0dyITk5GRdu3btvu1ffvmlAgMD9fnnn6tT\np06PPW5KSopsbW2zIqKkv2Z+vvzyyxozZkyWjZnfHDlyRM2aNVNkZGTaH0AAACDvu337tkqVKqUB\nAwaoY8eOiouL07Bhw+Ts7Ky2bduqefPmatCgQbpzwsLCNHr0aFksFs2aNUtdunQxKD0AAPg3zPwE\nMsHOzk6lS5dO93X16lUNGzZMI0eOTCs+L168qFdeeUUuLi5ycXFR27ZtdfLkybRxxo0bJx8fHy1Z\nskSVK1dWoUKFdPv2bfXu3Tvdbe9+fn4aMGCARo4cqVKlSsnV1VXDhw9PlykmJkYdOnRQ4cKFVaFC\nBS1evDhnfhgmV7NmTfn7+2vkyJFGRwEAAFkoPDxcPj4+evPNN9WoUSO1adNGc+bM0fnz59W3b9+0\n4tNqtcpqtSo1NVV9+/bVuXPn1KNHD3Xt2lVBQUG6deuWwa8EAAA8COUnkIXi4+PVoUMHNWvWTOPG\njZMkJSQkyM/PT0WKFNEPP/ygPXv2yN3dXS1atNCdO3fSzj19+rRWrFih1atX69ChQypYsOAD16QK\nDw9XgQIF9NNPP2nevHmaNWuWPvvss7T9r776qn7//Xdt27ZN69at06effqo//vgj+198PhASEqKv\nv/5ax44dMzoKAADIIikpKbp06ZKuX7+ets3d3V0uLi46cOBA2jaLxZLuvdnXX3+tX375RT4+PurY\nsaOKFCmSo7kBAMCjofwEsojValW3bt1UsGDBdOt0rlixQpL08ccfy9vbW1WrVtWCBQt08+ZNffPN\nN2nHJSUladmyZXryySfl5eX10Nvevby8FBISosqVK6tLly7y8/PT1q1bJUknTpzQxo0btWjRIjVo\n0EC1atXSkiVLdPv27Wx85flHsWLFdPDgQVWrVk2sGAIAgDk0bdpUrq6umjp1qs6fP6/Dhw9r2bJl\nOnfunKpXry5JaTM+pb+WPdq6dat69+6t5ORkrV69Wi1btjTyJQAAgH9gZ3QAwCzefvtt7d27V/v3\n70/3yX9ERIR+//13OTo6pjs+ISFBp06dSvvew8NDJUuW/Nfr+Pr6pvve3d1dly9fliQdO3ZMtra2\nqlu3btr+cuXKyd3dPUOvCfcrXbr0Q58SCwAA8p7q1avrk08+UVBQkOrWrasSJUooMTFRb731lqpU\nqZK2Fvu9///fe+89LVy4UK1bt9b06dPl7u4uq9XK+wMAAHIpyk8gC6xcuVIzZszQt99+q4oVK6bb\nl5qaqqeeekqfffbZfbMFXVxc0v79qLdKFShQIN33FoslbSbC37chezzOz/bOnTsqVKhQNqYBAABZ\nwcvLS9u3b9fhw4d19uxZ1a5dW6VLl5b0vw+ivHLlij766CNNmTJF/fv315QpU1SwYEFJvPcCACA3\no/wEMungwYPq16+fpk6dqhYtWty3v3bt2lq5cqVKlCghJyenbM1SvXp1paamat++fWmL8589e1YX\nL17M1usivdTUVG3evFkRERHq06eP3NzcjI4EAAAega+vb9pdNvc+XLa3t5ckDRo0SJs3b1ZISIiC\ng4NVsGBBpaamysaGlcQAAMjN+J8ayISrV6+qY8eO8vPzk7+/v6Kjo+/76t69u1xdXdWhQwft3LlT\nZ86c0c6dOzVs2LB0t71nhapVq6pVq1YKCAjQnj17dPDgQfXp00eFCxfO0uvgn9nY2Cg5OVm7du3S\nwIEDjY4DAAAy4F6pefbsWTVu3FjffPONJk6cqGHDhqXd2UHxCQBA7sfMTyAT1q9fr3PnzuncuXP3\nrat5b+2nlJQU7dy5U2+99Za6du2q+Ph4ubu7y8/PT8WLF3+s6z3KLVVLlixR//791bx5c5UsWVJj\nx45VTEzMY10HGZeYmCh7e3u9+OKLunjxogICAvTdd9/xIAQAAPKocuXKaejQoSpTpkzanTUPm/Fp\ntVqVnJx83zJFAADAOBYrjywGgExLTk6Wnd1fnyfduXNHw4YN09KlS1WnTh0NHz5crVu3NjghAADI\nblarVbVq1VLXrl01ePDg+x54CQAAch73aQBABp06dUonTpyQpLTic9GiRfL09NR3332nCRMmaNGi\nRWrVqpWRMQEAQA6xWCxas2aNjh49qsqVK2vGjBlKSEgwOhYAAPka5ScAZNDy5cvVrl07SdKBAwfU\noEEDjRgxQl27dlV4eLgCAgJUsWJFngALAEA+UqVKFYWHh2vLli3auXOnqlSpooULFyoxMdHoaAAA\n5Evc9g4AGZSSkqISJUrI09NTv//+u5599lkFBgbqmWeeuW891ytXrigiIoK1PwEAyGf27dunUaNG\n6eTJkwoJCVH37t1la2trdCwAAPINyk8AyISVK1fK399fEyZMUM+ePVWuXLn7jvn666+1atUqffnl\nlwoPD9eLL75oQFIAAGCkHTt2aOTIkbp27ZrGjx+vTp068bR4AAByAOUnAGRSrVq1VLNmTS1fvlzS\nXw87sFgsunTpkj744AOtW7dOFSpUUEJCgn7++WfFxMQYnBgAABjBarVq48aNGjVqlCRp4sSJat26\nNUvkAACQjfioEQAyKSwsTFFRUTp//rwkpfsDxtbWVqdOndL48eO1ceNGubm5acSIEUZFBQAABrJY\nLHrhhRd04MABvfPOOxo6dKieffZZ7dixw+hoAACYFjM/gSx0b8Yf8p/ff/9dJUuW1M8//yw/P7+0\n7deuXVP37t3l5eWl6dOna9u2bWrZsqXOnTunMmXKGJgYAAAYLSUlReHh4QoJCVGlSpU0adIk1a1b\n1+hYAACYim1ISEiI0SEAs/h78XmvCKUQzR+KFy+u4OBg7du3T+3bt5fFYpHFYpGDg4MKFiyo5cuX\nq3379vLx8VFSUpKKFCmiihUrGh0bAAAYyMbGRrVq1VJQUJDu3r2roKAg7dy5U97e3nJ1dTU6HgAA\npsBt70AWCAsL0+TJk9Ntu1d4UnzmHw0bNtTevXt19+5dWSwWpaSkSJIuX76slJQUOTs7S5ImTJig\n5s2bGxkVAADkIgUKFFBAQIB+++03NWnSRC1atJC/v79+++03o6MBAJDnUX4CWWDcuHEqUaJE2vd7\n9+7VmjVr9NVXXykyMlJWq1WpqakGJkRO6Nu3rwoUKKCJEycqJiZGtra2Onv2rMLCwlS8eHHZ2dkZ\nHREAAORiDg4OeuONN3Ty5El5eXmpYcOG6tevn86ePWt0NAAA8izW/AQyKSIiQo0aNVJMTIwcHR0V\nEhKiBQsW6NatW3J0dFSlSpUUGhqqhg0bGh0VOeDAgQPq16+fChQooDJlyigiIkLly5dXWFiYqlWr\nlnZcUlKSdu7cqdKlS8vHx8fAxAAAILeKjY1VaGioPvjgA3Xv3l3vvPOO3NzcjI4FAECewsxPIJNC\nQ0PVqVMnOTo6as2aNVq7dq3eeecd3bx5U+vWrZODg4M6dOig2NhYo6MiB9SpU0dhYWFq1aqV7ty5\no4CAAE2fPl1Vq1bV3z9runTpkr744guNGDFC8fHxBiYGAAC5VfHixTV58mQdPXpUNjY28vb21ttv\nv61r164ZHQ0AgDyDmZ9AJpUuXVpPP/20Ro8erWHDhqlNmzYaNWpU2v4jR46oU6dO+uCDD9I9BRz5\nwz898GrPnj16/fXX5eHhoVWrVuVwMgAAkNecO3dOEyZM0BdffKHBgwdryJAhcnR0NDoWAAC5GjM/\ngUyIi4tT165dJUmBgYH6/fff1aRJk7T9qampqlChghwdHXX9+nWjYsIA9z5Xuld8/t/PmRITE3Xi\nxAkdP35cP/74IzM4AADAvypbtqw+/PBD7dmzR8ePH1flypU1ffp0JSQkGB0NAIBci/ITyISLFy9q\n7ty5mj17tvr3769evXql+/TdxsZGkZGROnbsmNq0aWNgUuS0e6XnxYsX030v/fVArDZt2qhv377q\n2bOnDh06JBcXF0NyAgCAvKdy5cpatmyZtm7dql27dqlKlSpasGCBEhMTjY4GAECuQ/kJZNDFixf1\n3HPPKTw8XFWrVlVwcLAmTpwob2/vtGOioqIUGhqq9u3bq0CBAgamhREuXryowMBAHTp0SJJ0/vx5\nDR48WE2aNFFSUpL27t2r2bNnq3Tp0gYnBQAAeVHNmjX1xRdfaN26dfryyy9VvXp1LVmyRCkpKUZH\nAwAg16D8BDJo2rRpunLlivr166exY8cqPj5e9vb2srW1TTvml19+0eXLl/XWW28ZmBRGcXd3161b\ntxQcHKwPP/xQDRo00Jo1a7Ro0SLt2LFDTz/9tNERAQCACdSpU0cbN27UJ598oo8++kg1a9bUqlWr\nlJqa+shjxMfHa+7cuXr++ef11FNPqVatWvLz89PUqVN15cqVbEwPAED24oFHQAY5OTlp7dq1OnLk\niKZNm6bhw4dr0KBB9x2XkJAgBwcHAxIiN4iJiVH58uV1584dDR8+XO+8846cnZ2NjgUAAEzKarVq\n06ZNGjVqlFJTUzVhwgS1adPmoQ9gvHTpksaNG6fPPvtMLVu2VI8ePfTEE0/IYrEoOjpan3/+udau\nXat27dpp7NixqlSpUg6/IgAAMofyE8iAdevWKSAgQNHR0YqLi9OUKVMUGhqqvn37auLEiXJ1dVVK\nSoosFotsbJhgnd+FhoZq2rRpOnXqlIoWLWp0HAAAkA9YrVatXbtWo0ePVrFixTRp0iQ999xz6Y6J\niorSCy+8oJdffllvvPGGypQp88Cxrl27pvnz52vevHlau3atGjRokAOvAACArEH5CWTAs88+q0aN\nGmnq1Klp2z766CNNmjRJnTp10vTp0w1Mh9yoWLFiGj16tIYOHWp0FAAAkI+kpKRoxYoVCgkJUYUK\nFTRx4kTVr19f586dU6NGjTRhwgT17t37kcZav369+vbtq23btqVb5x4AgNyM8hN4TDdu3JCLi4uO\nHz+uihUrKiUlRba2tkpJSdFHH32kN954Q88995zmzp2rChUqGB0XucShQ4d0+fJlNW/enNnAAAAg\nxyUlJWnx4sWaMGGCateurcuXL6tjx4568803H2ucpUuX6t1331VkZORDb6UHACA3ofwEMiAuLk7F\nihV74L41a9ZoxIgR8vb21ooVK1SkSJEcTgcAAAA82J07dzR27FgtWrRI0dHRKlCgwGOdb7VaVatW\nLc2cOVPNmzfPppQAAGQdph8BGfCw4lOSOnfurBkzZujKlSsUnwAAAMhVChUqpFu3bmngwIGPXXxK\nksViUVBQkObPn58N6QAAyHrM/ASySWxsrIoXL250DORS9371crsYAADISampqSpevLiOHj2qJ554\nIkNj3LhxQx4eHjpz5gzvdwEAuR4zP4FswhtB/BOr1aquXbsqIiLC6CgAACAfuX79uqxWa4aLT0ly\ndHSUm5ub/vzzzyxMBgBA9qD8BDKJydPICBsbG7Vu3VrBwcFKTU01Og4AAMgnEhIS5ODgkOlxHBwc\nlJCQkAWJAADIXpSfQCakpKTop59+ogBFhvTp00fJyclaunSp0VEAAEA+4ezsrPj4+Ey/f42Li5Oz\ns3MWpQIAIPtQfgKZsHnzZg0ePJh1G5EhNjY2mjdvnt566y3Fx8cbHQcAAOQDDg4OqlChgn788ccM\nj3HixAklJCSobNmyWZgMAIDsQfkJZMLHH3+s//znP0bHQB5Wt25dtW3bViEhIUZHAQAA+YDFYlFg\nYGCmnta+cOFC9e3bV/b29lmYDACA7MHT3oEMiomJUZUqVfTHH39wyw8yJSYmRt7e3tq2bZtq1qxp\ndBwAAGBycXFxqlChgqKiouTm5vZY5966dUvly5fXgQMH5OnpmT0BAQDIQsz8BDJo6dKl6tChA8Un\nMq1UqVIaO3asBg4cyPqxAAAg2xUrVkyBgYHy9/dXYmLiI5+Xmpqqvn37qm3bthSfAP4fe/cd1dT9\nsAH8SQLIUkQQsS5AxIHgQgQVW0SLG8ER6qziKu6B26o4caC4N7bKT4MbxVWwakFxIVrBhRURBVwo\nskfy/tG3nFIFEYEL5vmc06Mk9948l3PaJk++g6jCYPlJVAwKhYJT3qlEjR49GklJSfD39xc6ChER\nESmBRYsWQVdXF87OzkhJSfnk8VlZWfjxxx8RHx+PLVu2lEFCIiKiksHyk6gYwsLCkJ2dDTs7O6Gj\n0FdCRUUFGzZswLRp04r0AYSIiIjoS0gkEuzfvx81a9ZEs2bNsGbNGiQlJX1wXEpKCrZs2YJmzZoh\nOTkZp0+fhrq6ugCJiYiIiodrfhIVw4gRI9CgQQPMmDFD6Cj0lRk8eDDq1KmDpUuXCh2FiIiIlIBC\noUBoaCg2b96MwMBAfP/996hVqxZEIhESExNx6tQpmJubIzY2FtHR0VBVVRU6MhER0Wdh+Un0md6/\nf4+6desWa4F4ok+Jj4+HhYUFLl26BDMzM6HjEBERkRJ58eIFTp8+jVevXkEul0NPTw8ODg6oU6cO\n2rVrB3d3dwwaNEjomERERJ+F5SfRZ9q5cyeOHz+Oo0ePCh2FvlKrVq1CcHAwTp48CZFIJHQcIiIi\nIiIiogqLa34SfSZudESlbcKECYiJicHx48eFjkJERERERERUoXHkJ9FniIqKQqdOnRAbGwsVFRWh\n49BX7LfffsPo0aMRGRkJDQ0NoeMQERERERERVUgc+Un0GXbu3Ikff/yRxSeVus6dO6Nly5ZYuXKl\n0FGIiIiIiIiIKiyO/CQqoqysLNSpUwehoaEwNTUVOg4pgSdPnqBly5a4ceMGjIyMhI5DRERERERE\nVOFw5CdRER0/fhyNGzdm8Ullpl69epg8eTKmTJkidBQiIiKifBYuXAhLS0uhYxAREX0SR34SFVHX\nrl0xcOBADBo0SOgopEQyMjJgbm6OTZs2wdHRUeg4REREVIENGzYMr1+/RkBAwBdfKy0tDZmZmdDV\n1S2BZERERKWHIz+JiuDp06e4evUq+vTpI3QUUjLq6urw8fHBhAkTkJWVJXQcIiIiIgCApqYmi08i\nIqoQWH4SFcHu3bshlUq56zYJokePHmjQoAF8fHyEjkJERERfievXr8PR0RHVq1eHjo4O7OzsEBYW\nlu+YrVu3omHDhtDQ0ED16tXRtWtXyOVyAH9Pe7ewsBAiOhER0Wdh+Un0CXK5HLt27cKIESOEjkJK\nbO3atfDy8sKzZ8+EjkJERERfgffv32PIkCEIDQ3FtWvX0KJFC3Tv3h1JSUkAgBs3bmDcuHFYuHAh\nHjx4gHPnzqFLly75riESiYSITkRE9FlUhA5AVF6kpKTAz88PISEhePv2LVRVVWFoaIgGDRpAR0cH\nLVu2FDoiKTFTU1OMHj0a06dPh5+fn9BxiIiIqIKzt7fP97OPjw8OHjyIU6dOYcCAAYiNjYW2tjZ6\n9uwJLS0t1KlThyM9iYioQuLIT1J6MTExGD9+POrWrYszZ87AwcEBI0eOxIABA2BsbIx169bh7du3\n2Lx5M3JycoSOS0ps9uzZ+OOPP3Dx4kWhoxAREVEF9/LlS4wePRoNGzZE1apVUaVKFbx8+RKxsbEA\ngM6dO6NevXowMjLCoEGD8OuvvyIlJUXg1ERERJ+PIz9JqV26dAkuLi4YPnw4bt++jdq1a39wzLRp\n03D+/Hl4enrixIkTkMlk0NbWFiAtKTstLS2sXr0a48aNQ3h4OFRU+J9wIiIiKp4hQ4bg5cuX8PHx\nQb169VCpUiV07Ngxb4NFbW1thIeH4+LFi/jtt9+wfPlyzJ49G9evX4ehoaHA6YmIiIqOIz9JaYWH\nh8PJyQm+vr5YunTpR4tP4O+1jOzt7XH27FkYGBjA2dmZu26TYPr27Yvq1atj8+bNQkchIiKiCiw0\nNBTjx49Hly5d0LhxY2hpaSE+Pj7fMWKxGN999x2WLFmCW7duITU1FSdOnBAoMRERUfGw/CSllJGR\nAScnJ2zduhVdu3Yt0jmqqqrYsWMHNDQ0MH/+/FJOSPRxIpEI69evh6enJ168eCF0HCIiIqqgzMzM\nsHfvXty9exfXrl3DDz/8gEqVKuU9HxgYiHXr1iEiIgKxsbHw8/NDSkoKmjRpImBqIiKiz8fyk5TS\ngQMH0KRJE7i4uHzWeRKJBOvWrcP27duRlpZWSumICtekSRMMGTIEs2bNEjoKERERVVC7du1CSkoK\nrKysMGDAALi5ucHIyCjv+apVq+Lo0aPo3LkzGjduDG9vb+zcuRNt27YVLjQREVExiBQKhULoEERl\nrW3btpgxYwacnJyKdX7Pnj3h4uKCYcOGlXAyoqJJTk5Go0aNcOTIEbRp00boOERERERERETlEkd+\nktKJiorC06dP0b1792Jf46effsKOHTtKMBXR56lSpQq8vLwwduxY5ObmCh2HiIiIiIiIqFxi+UlK\n56+//oKlpeUX7ZTdvHlzPHr0qARTEX2+QYMGQV1dHbt27RI6ChEREREREVG5xPKTlE5KSgq0tLS+\n6Bra2tpISUkpoURExSMSibBhwwbMmzcPb968EToOERERERERUbnD8pOUTpUqVfD+/fsvukZycjKq\nVKlSQomIiq958+bo06cPfv75Z6GjEBEREeW5cuWK0BGIiIgAsPwkJdSoUSPcuHEDGRkZxb7GpUuX\nYGJiUoKpiIpv0aJFOHDgACIiIoSOQkRERAQAmDdvntARiIiIALD8JCVkYmKC5s2b4+DBg8W+hre3\nN+7cuYOWLVti+fLlePz4cQkmJPo81apVw6JFizBu3DgoFAqh4xAREZGSy87OxqNHj3DhwgWhoxAR\nEbH8JOXk7u6OTZs2FevcyMhIxMbGIiEhAatXr0ZMTAysra1hbW2N1atX4+nTpyWclujT3NzckJGR\nAT8/P6GjEBERkZJTVVXF/PnzMXfuXH4xS0REghMp+H8jUkI5OTmwtLTEuHHj4O7uXuTz0tPT4eDg\nAGdnZ3h4eOS73rlz5yCTyXD06FE0bNgQUqkU/fr1wzfffFMat0D0gbCwMPTp0wd3797lmrREREQk\nqNzcXDRt2hRr166Fo6Oj0HGIiEiJsfwkpfXXX3+hffv2WLRoEdzc3D55/Pv379GvXz/o6elh7969\nEIlEHz0uKysLQUFBkMlkCAgIgKWlJaRSKfr06YMaNWqU9G0Q5TN8+HBUq1YNq1atEjoKERERKbkD\nBwfehHIAACAASURBVA5gxYoVuHr1aoHvnYmIiEoby09Sag8ePEDXrl1hY2OD8ePHo02bNh+8MUtL\nS4NMJsPKlSvRrl07bN68GSoqKkW6fmZmJs6cOQOZTIbAwEC0atUKUqkULi4u0NfXL41bIiWXmJiI\npk2b4sKFC2jSpInQcYiIiEiJyeVytGzZEgsWLEDv3r2FjkNEREqK5ScpvaSkJOzcuRObN2+Gjo4O\nevXqhWrVqiErKwsxMTHYv38/bGxs4O7ujq5duxb7W+v09HScPHkS/v7+OH36NGxsbCCVSuHs7Axd\nXd0SvitSZuvWrUNAQAB+++03jrIgIiIiQR0/fhyzZ8/GrVu3IBZzywkiIip7LD+J/p9cLsfZs2cR\nGhqKS5cu4c2bN3B1dUX//v1hbGxcoq+VmpqKEydOQCaTITg4GHZ2dpBKpejVqxd0dHRK9LVI+eTk\n5KBFixaYP38++vbtK3QcIiIiUmIKhQK2traYNGkSXF1dhY5DRERKiOUnkcCSk5Nx/PhxyGQynD9/\nHh07doRUKkXPnj2hra0tdDyqoC5cuIAhQ4YgKioKWlpaQschIiIiJRYUFISxY8ciMjKyyMtHERER\nlRSWn0TlyNu3b3H06FH4+/sjNDQUnTt3hlQqRffu3aGpqSl0PKpgBgwYgPr162PRokVCRyEiIiIl\nplAoYG9vj6FDh2LYsGFCxyEiIiXD8pOonHr9+jWOHDkCmUyGa9euoWvXrujfvz+6du0KdXV1oeNR\nBfDs2TM0a9YMYWFhMDU1FToOERERKbGQkBAMGjQIDx48gJqamtBxiIhIibD8JKoAXrx4gcOHD0Mm\nkyEiIgI9evSAVCrF999/zzePVCgvLy+EhITg+PHjQkchIiIiJde1a1f07NkT7u7uQkchIiIlwvKT\nqIKJj4/HwYMHIZPJEBUVBScnJ0ilUjg4OEBVVVXoeFTOZGZmwtLSEqtXr0aPHj2EjkNERERK7Pr1\n63ByckJ0dDQ0NDSEjkNEREqC5SdRCenZsyeqV6+OXbt2ldlrxsXF4cCBA5DJZHj06BGcnZ0hlUrx\n7bffcjF5ynPmzBmMHTsWd+7c4ZIJREREJCgXFxe0b98eU6ZMEToKEREpCbHQAYhK282bN6GiogI7\nOzuho5S42rVrY/LkyQgLC8O1a9fQoEEDzJgxA7Vq1YK7uzsuXLiA3NxcoWOSwBwdHWFhYYHVq1cL\nHYWIiIiU3MKFC+Hl5YX3798LHYWIiJQEy0/66u3YsSNv1Nv9+/cLPTYnJ6eMUpU8IyMjeHh44Pr1\n6wgNDUXt2rUxceJE1KlTBxMmTEBoaCjkcrnQMUkg3t7eWLNmDWJjY4WOQkRERErMwsICDg4OWLdu\nndBRiIhISbD8pK9aRkYG/ve//2HUqFHo06cPduzYkffckydPIBaLsX//fjg4OEBLSwvbtm3Dmzdv\nMGDAANSpUweamppo2rQpdu/ene+66enp+PHHH1G5cmXUrFkTy5YtK+M7K5ypqSlmz56NiIgInDt3\nDvr6+hg1ahTq1auHqVOn4urVq+CKF8rF2NgY48ePx9SpU4WOQkREREpuwYIFWLt2LZKSkoSOQkRE\nSoDlJ33VDhw4ACMjI5ibm2Pw4MH49ddfP5gGPnv2bIwdOxZRUVHo3bs3MjIy0KpVK5w8eRJRUVGY\nNGkSxowZg99//z3vnKlTpyI4OBhHjhxBcHAwbt68iYsXL5b17RVJo0aN8PPPPyMyMhKnTp2ClpYW\nBg8eDBMTE8yYMQPh4eEsQpXE9OnTcf36dQQFBQkdhYiIiJSYmZkZevXqBW9vb6GjEBGREuCGR/RV\ns7e3R69evTB58mQAgImJCVatWgUXFxc8efIExsbG8Pb2xqRJkwq9zg8//IDKlStj27ZtSE1NhZ6e\nHnbv3g1XV1cAQGpqKmrXrg1nZ+cy3fCouBQKBW7dugWZTAZ/f3+IxWJIpVL0798fFhYWEIlEQkek\nUnLs2DHMnDkTt27dgpqamtBxiIiISEnFxMSgVatWuHfvHqpXry50HCIi+opx5Cd9taKjoxESEoIf\nfvgh77EBAwZg586d+Y5r1apVvp/lcjmWLFmCZs2aQV9fH5UrV8aRI0fy1kp89OgRsrOzYWNjk3eO\nlpYWLCwsSvFuSpZIJELz5s2xbNkyREdHY9++fcjMzETPnj3RpEkTLFiwAHfv3hU6JpWCXr16wcjI\nCOvXrxc6ChERESkxIyMjuLq6wsvLS+goRET0lVMROgBRadmxYwfkcjnq1KnzwXPPnj3L+7uWlla+\n51auXIk1a9Zg3bp1aNq0KbS1tTFr1iy8fPmy1DMLQSQSwcrKClZWVlixYgXCwsLg7++PTp06oVq1\napBKpZBKpWjQoIHQUakEiEQi+Pj4oG3bthgwYABq1qwpdCQiIiJSUnPmzEHTpk0xZcoUfPPNN0LH\nISKirxRHftJXKTc3F7/++iuWL1+OW7du5fvH0tISvr6+BZ4bGhqKnj17YsCAAbC0tISJiQkePHiQ\n93z9+vWhoqKCsLCwvMdSU1Nx586dUr2nsiASiWBra4s1a9bg6dOn2LRpExISEmBnZ4eWLVti+fLl\nePz4sdAx6QuZmZlh5MiRmDFjhtBRiIiISIl98803cHd3x+vXr4WOQkREXzGO/KSv0okTJ/D69WuM\nGDECurq6+Z6TSqXYunUrBg0a9NFzzczM4O/vj9DQUOjp6WHDhg14/Phx3nW0tLTg5uaGGTNmQF9f\nHzVr1sSiRYsgl8tL/b7Kklgshp2dHezs7ODj44OLFy9CJpPB2toaxsbGeWuEfmxkLZV/c+bMQePG\njRESEoL27dsLHYeIiIiU1KJFi4SOQEREXzmO/KSv0q5du9CxY8cPik8A6NevH2JiYhAUFPTRjX3m\nzp0La2trdOvWDd999x20tbU/KEpXrVoFe3t7uLi4wMHBARYWFujQoUOp3Y/QJBIJ7O3tsWXLFsTH\nx2Px4sW4e/cumjdvjrZt28LHxwfPnz8XOiZ9Bm1tbaxcuRLjxo1Dbm6u0HGIiIhISYlEIm62SURE\npYq7vRNRsWVlZSEoKAgymQwBAQGwtLRE//790bdvX9SoUUPoePQJCoUC9vb26N+/P9zd3YWOQ0RE\nRERERFTiWH4SUYnIzMzEmTNnIJPJEBgYiFatWkEqlcLFxQX6+vrFvq5cLkdWVhbU1dVLMC39488/\n/4SDgwMiIyNRvXp1oeMQERERfeDy5cvQ1NSEhYUFxGJOXiQios/D8pOISlx6ejpOnjwJf39/nD59\nGjY2NpBKpXB2dv7oUgSFuXv3Lnx8fJCQkICOHTvCzc0NWlpapZRcOU2aNAlpaWnYtm2b0FGIiIiI\n8ly8eBHDhw9HQkICqlevju+++w4rVqzgF7ZERPRZ+LUZEZU4DQ0N9OnTBzKZDM+fP8fw4cNx4sQJ\nGBkZoUePHtizZw/evXtXpGu9e/cOBgYGqFu3LiZNmoQNGzYgJyenlO9AuSxYsADHjx/HtWvXhI5C\nREREBODv94Bjx46FpaUlrl27Bi8vL7x79w7jxo0TOhoREVUwHPlJRGXm/fv3CAgIgEwmw/nz59Gx\nY0fIZDJUqlTpk+cePXoUP/30E/bv349vv/22DNIql927d2Pz5s24fPkyp5MRERGRIFJTU6GmpgZV\nVVUEBwdj+PDh8Pf3R5s2bQD8PSPIxsYGt2/fRr169QROS0REFQU/4RJRmalcuTIGDhyIgIAAxMbG\n4ocffoCamlqh52RlZQEA9u3bB3Nzc5iZmX30uFevXmHZsmXYv38/5HJ5iWf/2g0ZMgRisRi7d+8W\nOgoREREpoYSEBOzduxcPHz4EABgbG+PZs2do2rRp3jEaGhqwsLBAcnKyUDGJiKgCYvlJVABXV1fs\n27dP6BhfrapVq0IqlUIkEhV63D/l6G+//YYuXbrkrfEkl8vxz8D1wMBAzJ8/H3PmzMHUqVMRFhZW\nuuG/QmKxGBs2bMDs2bPx9u1boeMQERGRklFTU8OqVavw9OlTAICJiQnatm0Ld3d3pKWl4d27d1i0\naBGePn2KWrVqCZyWiIgqEpafRAXQ0NBARkaG0DGUWm5uLgAgICAAIpEINjY2UFFRAfB3WScSibBy\n5UqMGzcOffr0QevWreHk5AQTE5N813n27BlCQ0M5IvQTWrVqhd69e2P+/PlCRyEiIiIlU61aNVhb\nW2PTpk1IT08HABw7dgxxcXGws7NDq1atcPPmTezatQvVqlUTOC0REVUkLD+JCqCurp73xouEtXv3\nblhZWeUrNa9du4Zhw4bh8OHDOHv2LCwsLBAbGwsLCwsYGhrmHbdmzRp069YNQ4cOhaamJsaNG4f3\n798LcRsVwpIlS7Bv3z7cvn1b6ChERESkZLy9vXH37l306dMHBw4cgL+/Pxo0aIAnT55ATU0N7u7u\nsLOzw9GjR+Hp6Ym4uDihIxMRUQXA8pOoAOrq6hz5KSCFQgGJRAKFQoHff/8935T3CxcuYPDgwbC1\ntcWlS5fQoEED7Ny5E9WqVYOlpWXeNU6cOIE5c+bAwcEBf/zxB06cOIGgoCCcPXtWqNsq9/T09LBw\n4UKMHz8e3A+PiIiIylKNGjXg6+uL+vXrY8KECVi/fj3u378PNzc3XLx4ESNGjICamhpev36NkJAQ\nTJs2TejIRERUAagIHYCovOK0d+FkZ2fDy8sLmpqaUFVVhbq6Otq1awdVVVXk5OQgMjISjx8/xtat\nW5GZmYnx48cjKCgIHTp0gLm5OYC/p7ovWrQIzs7O8Pb2BgDUrFkT1tbWWLt2Lfr06SPkLZZro0aN\nwrZt27B//3788MMPQschIiIiJdKuXTu0a9cOK1asQHJyMlRUVKCnpwcAyMnJgYqKCtzc3NCuXTu0\nbdsW58+fx3fffSdsaCIiKtc48pOoAJz2LhyxWAxtbW0sX74cEydORGJiIo4fP47nz59DIpFgxIgR\nuHLlCrp06YKtW7dCVVUVISEhSE5OhoaGBgAgPDwcN27cwIwZMwD8XagCfy+mr6GhkfczfUgikWDD\nhg3w8PDgEgFEREQkCA0NDUgkkrziMzc3FyoqKnlrwjdq1AjDhw/H5s2bhYxJREQVAMtPogJw5Kdw\nJBIJJk2ahBcvXuDp06dYsGABfH19MXz4cLx+/Rpqampo3rw5lixZgjt37mDMmDGoWrUqzp49iylT\npgD4e2p8rVq1YGlpCYVCAVVVVQBAbGwsjIyMkJWVJeQtlnvt2rWDg4MDFi9eLHQUIiIiUjJyuRyd\nO3dG06ZNMWnSJAQGBiI5ORnA3+8T//Hy5Uvo6OjkFaJEREQfw/KTqABc87N8qFWrFn7++WfExcVh\n79690NfX/+CYiIgI9O7dG7dv38aKFSsAAJcuXYKjoyMA5BWdEREReP36NerVqwctLa2yu4kKysvL\nCzt37sS9e/eEjkJERERKRCwWw9bWFi9evEBaWhrc3NxgbW2NoUOHYs+ePQgNDcWhQ4dw+PBhGBsb\n5ytEiYiI/ovlJ1EBOO29/PlY8fnXX38hPDwc5ubmqFmzZl6p+erVK5iamgIAVFT+Xt74yJEjUFNT\ng62tLQBwQ59PMDQ0xJw5czBhwgT+roiIiKhMzZ8/H5UqVcLQoUMRHx8PT09PaGpqYvHixXB1dcWg\nQYMwfPhwzJo1S+ioRERUzokU/ERL9FF79+7F6dOnsXfvXqGjUAEUCgVEIhFiYmKgqqqKWrVqQaFQ\nICcnBxMmTEB4eDhCQ0OhoqKCt2/fomHDhvjxxx8xb948aGtrf3Ad+lB2djaaN2+OxYsXw9nZWeg4\nREREpETmzJmDY8eO4c6dO/kev337NkxNTaGpqQmA7+WIiKhwLD+JCnDw4EHs378fBw8eFDoKFcP1\n69cxZMgQWFpawszMDAcOHICKigqCg4NhYGCQ71iFQoFNmzYhKSkJUqkUDRo0ECh1+XTu3DkMHz4c\nUVFReR8yiIiIiMqCuro6du/eDVdX17zd3omIiD4Hp70TFYDT3isuhUIBKysr7Nu3D+rq6rh48SLc\n3d1x7NgxGBgYQC6Xf3BO8+bNkZiYiA4dOqBly5ZYvnw5Hj9+LED68qdjx45o06YNvLy8hI5CRERE\nSmbhwoUICgoCABafRERULBz5SVSA4OBgLF26FMHBwUJHoTKUm5uLixcvQiaT4fDhwzAyMoJUKkW/\nfv1Qt25doeMJ5unTp2jRogWuXr0KExMToeMQERGRErl//z7MzMw4tZ2IiIqFIz+JCsDd3pWTRCKB\nvb09tmzZgufPn2PJkiW4e/cuWrRogbZt28LHxwfPnz8XOmaZq1OnDqZOnYopU6YIHYWIiIiUTMOG\nDVl8EhFRsbH8JCoAp72TiooKOnfujB07diA+Ph5z587N21n+22+/xcaNG5GYmCh0zDIzZcoUREZG\n4tSpU0JHISIiIiIiIioSlp9EBdDQ0ODIT8qjpqaGbt264ZdffkFCQgKmTp2KS5cuoWHDhnBwcMC2\nbdvw6tUroWOWqkqVKsHHxwcTJ05EZmam0HGIiIhICSkUCsjlcr4XISKiImP5SVQAjvykglSqVAm9\nevWCn58f4uPjMXbsWAQHB6N+/fpwdHTErl27kJSUJHTMUtGtWzc0atQIa9asEToKERERKSGRSISx\nY8di2bJlQkchIqIKghseERXg+fPnaNWqFeLj44WOQhVEamoqTpw4AZlMhuDgYNjZ2aF///5wcnKC\njo6O0PFKzKNHj9CmTRtERESgdu3aQschIiIiJfPXX3/B2toa9+/fh56entBxiIionGP5SVSApKQk\nmJiYfLUj+Kh0vX//HgEBAZDJZDh//jw6duwIqVSKnj17QltbW+h4X+znn3/GgwcPsH//fqGjEBER\nkRL66aefUKVKFXh5eQkdhYiIyjmWn0QFSE9Ph66uLtf9pC/29u1bHD16FP7+/ggNDUXnzp0hlUrR\nvXt3aGpqCh2vWNLS0tCkSRP4+vrC3t5e6DhERESkZOLi4tCsWTNERkbC0NBQ6DhERFSOsfwkKoBc\nLodEIoFcLodIJBI6Dn0lXr9+jSNHjkAmk+HatWvo2rUr+vfvj65du0JdXV3oeJ/l8OHD+Pnnn3Hz\n5k2oqqoKHYeIiIiUzOTJk5Gbm4t169YJHYWIiMoxlp9EhVBXV8fbt28rXClFFcOLFy9w+PBhyGQy\nREREoEePHpBKpfj++++hpqYmdLxPUigUcHR0RLdu3TBp0iSh4xAREZGSSUxMRJMmTXDz5k3UrVtX\n6DhERFROsfwkKkTVqlXx+PFj6OrqCh2FvnLx8fE4dOgQZDIZIiMj4eTkBKlUCgcHh3I9qvLevXuw\ns7PDnTt3UKNGDaHjEBERkZKZPXs2Xr16hW3btgkdhYiIyimWn0SFMDQ0xM2bN1GzZk2ho5ASiYuL\nw4EDByCTyRAdHQ1nZ2dIpVJ89913UFFRETreB6ZPn46XL1/C19dX6ChERESkZN68eQMzMzOEhYXB\n1NRU6DhERFQOsfwkKoSxsTHOnTsHY2NjoaOQkoqJickrQp8+fYo+ffpAKpWiffv2kEgkQscD8PfO\n9o0bN8aBAwdga2srdBwiIiJSMp6ennj48CH27NkjdBQiIiqHWH4SFaJx48Y4dOgQmjRpInQUIkRH\nR8Pf3x/+/v548eIF+vbtC6lUCltbW4jFYkGz+fn5wdvbG1evXi03pSwREREph+TkZJiamuL8+fN8\n305ERB8Q9tMyUTmnrq6OjIwMoWMQAQBMTU0xe/ZsRERE4Ny5c9DX18eoUaNQr149TJ06FVeuXIFQ\n32cNGDAAmpqa2LFjhyCvT0RERMqrSpUq8PDwwPz584WOQkRE5RBHfhIVom3btli1ahXatm0rdBSi\nAkVGRkImk0EmkyErKwv9+/eHVCpFixYtIBKJyizHrVu38P333yMqKgp6enpl9rpEREREaWlpMDU1\nRWBgIFq0aCF0HCIiKkc48pOoEOrq6khPTxc6BlGhzM3N4enpiXv37uHIkSMQi8Xo168fzMzMMGfO\nHNy+fbtMRoQ2a9YM/fv3x9y5c0v9tYiIiIj+TVNTE7Nnz8a8efOEjkJEROUMy0+iQnDaO1UkIpEI\nzZs3x7JlyxAdHY19+/YhKysLPXv2RJMmTbBgwQJERUWVagZPT08cOXIE4eHhpfo6RERERP81cuRI\n/Pnnn7h8+bLQUYiIqBxh+UlUCA0NDZafVCGJRCJYWVlh5cqViImJga+vL969e4fvv/8eFhYWWLx4\nMR4+fFjir6urq4slS5Zg3LhxkMvlJX59IiIiooJUqlQJ8+bN4ywUIiLKh+UnUSE47Z2+BiKRCDY2\nNlizZg1iY2OxadMmJCYmokOHDmjZsiWWL1+Ov/76q8Reb9iwYcjJycGePXtK7JpERERERTF06FDE\nxsbi3LlzQkchIqJyguUnUSE47Z2+NmKxGHZ2dli/fj3i4uKwevVqxMTEwMbGBtbW1li1ahViY2O/\n+DU2btyImTNn4s2bNzh58iScnJxgZmYGQ0ND1K9fH507d86blk9ERERUUlRVVbFgwQLMmzevTNY8\nJyKi8o/lJ1EhOO2dvmYSiQT29vbYsmULnj9/jiVLluDevXto0aIF2rZtCx8fHzx//rxY17aysoKp\nqSkaNWqEefPmoVevXjh+/DjCw8Nx+vRpjBo1Cjt27EDdunXh6emJnJycEr47IiIiUlaurq54+/Yt\nTp8+LXQUIiIqB0QKfh1GVKBp06ahRo0a8PDwEDoKUZnJyspCUFAQZDIZAgICYGlpif79+6Nv376o\nUaPGJ8/Pzc2Fu7s7rly5gq1bt8La2hoikeijx969excTJ06EqqoqDhw4AE1NzZK+HSIiIlJChw8f\nxpIlS3D9+vUC34cQEZFyYPlJVIgzZ85AQ0MDHTp0EDoKkSAyMzNx5swZyGQyBAYGolWrVpBKpXBx\ncYG+vv5Hz5k8eTLCw8Nx4sQJVK5c+ZOvkZ2djaFDhyItLQ2HDh2CRCIp6dsgIiIiJaNQKNCqVSvM\nnTsXLi4uQschIiIBsfwkKsQ//3rw22IiID09HadOnYJMJsPp06dhY2MDqVQKZ2dn6OrqAgCCg4Mx\natQoXL9+Pe+xosjKykLHjh0xZMgQjBo1qrRugYiIiJTIyZMnMX36dNy6dYtfrhIRKTGWn0RE9NlS\nU1Nx4sQJyGQyBAUFwc7ODlKpFAcPHkS3bt0wZsyYz75mUFAQpk6dioiICH7hQERERF9MoVCgffv2\ncHd3x8CBA4WOQ0REAmH5SUREX+T9+/cICAjA7t27cenSJSQkJBRpuvt/yeVyNG7cGLt27UK7du1K\nISkREREpm99//x2jRo1CVFQUVFVVhY5DREQC4G7vRET0RSpXroyBAweia9euGDBgQLGKTwAQi8Vw\nc3ODn59fCSckIiIiZWVvb4+6devi119/FToKEREJhOUnERGViPj4eDRo0OCLrmFqaor4+PgSSkRE\nREQELF68GJ6ensjMzBQ6ChERCYDlJ9EXyM7ORk5OjtAxiMqFjIwMVKpU6YuuUalSJTx+/Bh+fn4I\nDg7GnTt38OrVK8jl8hJKSURERMrG1tYWFhYW2L59u9BRiIhIACpCByAqz86cOQMbGxvo6OjkPfbv\nHeB3794NuVyO0aNHCxWRqNzQ1dXFmzdvvugaSUlJkMvlOHHiBBISEpCYmIiEhASkpKSgevXqqFGj\nBgwNDQv9U1dXlxsmERERUT6enp7o0aMHhg8fDk1NTaHjEBFRGeKGR0SFEIvFCA0Nha2t7Uef3759\nO7Zt24aQkJAvHvFGVNGdPHkS8+fPx7Vr14p9jR9++AG2traYMGFCvsezsrLw4sWLfIVoQX+mpaWh\nRo0aRSpKdXR0KnxRqlAosH37dly8eBHq6upwcHCAq6trhb8vIiKikta3b1/Y2Nhg2rRpQkchIqIy\nxPKTqBBaWlrYt28fbGxskJ6ejoyMDKSnpyM9PR2ZmZm4cuUKZs2ahdevX0NXV1fouESCys3Nhamp\nKfz9/dG6devPPj8hIQGNGzdGTExMvtHWnysjIwOJiYmfLEkTExORlZVVpJLU0NAQ2tra5a5QTE1N\nxYQJE3D58mU4OTkhISEBDx48gKurK8aPHw8AiIyMxKJFixAWFgaJRIIhQ4Zg/vz5AicnIiIqe1FR\nUbC3t8fDhw9RpUoVoeMQEVEZYflJVIiaNWsiMTERGhoaAP6e6i4WiyGRSCCRSKClpQUAiIiIYPlJ\nBMDLywuRkZHF2lHV09MTcXFx2LZtWykk+7i0tLQiFaUJCQlQKBQflKIFFaX//LehtIWGhqJr167w\n9fVFnz59AACbN2/G/Pnz8ejRIzx//hwODg6wtraGh4cHHjx4gG3btuHbb7/F0qVLyyQjERFReTJ4\n8GCYmZlh3rx5QkchIqIywvKTqBA1atTA4MGD0alTJ0gkEqioqEBVVTXfn7m5ubC0tISKCpfQJXrz\n5g1atmyJxYsXY9CgQUU+78KFC+jXrx9CQkJgZmZWigmLLyUlpUijSRMSEiCRSIo0mrRGjRp5X64U\nxy+//ILZs2cjOjoaampqkEgkePLkCXr06IEJEyZALBZjwYIFuHfvXl4hu2vXLixcuBDh4eHQ09Mr\nqV8PERFRhRAdHQ0bGxs8ePAA1apVEzoOERGVAbY1RIWQSCSwsrJCly5dhI5CVCFUq1YNgYGBcHBw\nQFZWFoYPH/7Jc86cOYPBgwdj37595bb4BABtbW1oa2ujfv36hR6nUCjw/v37jxaj169f/+BxdXX1\nQkeTmpmZwczM7KNT7nV0dJCRkYGAgABIpVIAwKlTp3Dv3j0kJydDIpGgatWq0NLSQlZWFtTU1NCw\nYUNkZmYiJCQETk5OpfK7IiIiKq9MTU3h4uKCVatWcRYEEZGSYPlJVIhhw4bByMjoo88pFIpyt/4f\nUXlgbm6OCxcuoHv37vjf//4Hd3d39OrVK9/oaIVCgXPnzsHb2xs3btzAkSNH0K5dOwFTlxyRaOqu\nfgAAIABJREFUSIQqVaqgSpUqaNCgQaHHKhQKvHv37qOjR8PCwpCQkICOHTtiypQpHz2/S5cuGD58\nOCZMmICdO3fCwMAAcXFxyM3NRfXq1VGzZk3ExcXBz88PAwcOxPv377F+/Xq8fPkSaWlppXH7SiM3\nNxdRUVF4/fo1gL+Lf3Nzc0gkEoGTERHRp8ydOxctWrTApEmTYGBgIHQcIiIqZZz2TvQFkpKSkJ2d\nDX19fYjFYqHjEJUrmZmZOHz4MDZu3IiYmBi0adMGVapUQUpKCm7fvg1VVVU8e/YMx44dQ4cOHYSO\nW2G9e/cOf/zxB0JCQvI2ZTpy5AjGjx+PoUOHYt68eVi9ejVyc3PRuHFjVKlSBYmJiVi6dGneOqFU\ndC9fvsSuXbuwZcsWqKqqwtDQECKRCAkJCcjIyMCYMWPg5ubGD9NEROXchAkToKKiAm9vb6GjEBFR\nKWP5SVSIAwcOoH79+mjZsmW+x+VyOcRiMQ4ePIhr165h/PjxqF27tkApicq/O3fu5E3F1tLSgrGx\nMVq3bo3169fj3LlzOHr0qNARvxqenp44fvw4tm3bhhYtWgAAkpOTcffuXdSsWRM7duxAUFAQVqxY\ngfbt2+c7Nzc3F0OHDi1wjVJ9fX2lHdmoUCiwZs0aeHp6wtnZGe7u7mjdunW+Y27cuIFNmzbh0KFD\nmD17Njw8PDhDgIionEpISIC5uTlu3brF9/FERF85lp9EhWjVqhV69uyJBQsWfPT5sLAwjBs3DqtW\nrcJ3331XptmIiG7evImcnJy8kvPQoUMYO3YsPDw84OHhkbc8x79HptvZ2aFevXpYv349dHV1810v\nNzcXfn5+SExM/OiapUlJSdDT0yt0A6d//q6np/dVjYifMWMGAgMDcfLkSdStW7fQY+Pi4tC9e3c4\nODhg9erVLECJiMqpGTNmIDk5GZs3bxY6ChERlSKu+UlUiKpVqyIuLg737t1Damoq0tPTkZ6ejrS0\nNGRlZeHZs2eIiIhAfHy80FGJSAklJiZi3rx5SE5ORvXq1fH27VsMHjwY48aNg1gsxqFDhyAWi9G6\ndWukp6dj1qxZiI6OxsqVKz8oPoG/N3kbMmRIga+Xk5ODly9fflCKxsXF4caNG/ke/ydTUXa8r1at\nWrkuCDdu3Ijjx48jJCSkSDsD165dGxcvXkT79u3h4+ODSZMmlUFKIiL6XNOnT0fDhg0xffp0GBsb\nCx2HiIhKCUd+EhViyJAh2Lt3L9TU1CCXyyGRSKCiogIVFRWoqqqicuXKyM7Oxq5du9CpUyeh4xKR\nksnMzMSDBw9w//59vH79GqampnBwcMh7XiaTYf78+Xj8+DH09fVhZWUFDw+PD6a7l4asrCy8ePHi\noyNI//tYamoqDAwMPlmSGhoaQkdHp0yL0tTUVNStWxdhYWGf3MDqv/766y9YWVnhyZMnqFy5cikl\nJCKiL7FgwQLExMRg9+7dQkchIqJSwvKTqBD9+/dHWloaVq5cCYlEkq/8VFFRgVgsRm5uLnR1dVGp\nUiWh4xIR5U11/7eMjAy8efMG6urqRRq5WNYyMjIKLEr/+2dmZmbe9PpPFaWVK1f+4qJ0586dOHbs\nGAICAop1vouLC77//nuMGTPmi3IQEVHpePfuHUxNTfHHH3+gUaNGQschIqJSwPKTqBBDhw4FAPzy\nyy8CJyGqOOzt7WFhYYF169YBAIyNjTF+/HhMmTKlwHOKcgwRAKSnpxepJE1MTEROTk6RRpPWqFED\n2traH7yWQqGAlZUVlixZgi5duhQrb1BQECZPnozbt2+X66n9RETKbPny5YiIiMD+/fuFjkJERKWA\n5SdRIc6cOYPMzEz06tULQP4RVbm5uQAAsVjMD7SkVF69eoWff/4Zp06dQnx8PKpWrQoLCwvMnDkT\nDg4OePv2LVRVVaGlpQWgaMXm69evoaWlBXV19bK6DVICqampRSpKExISIBaLPxhNWrVqVaxbtw7v\n378v9uZNcrkc1apVQ3R0NPT19Uv4DomIqCSkpqbC1NQUZ86cgaWlpdBxiIiohHHDI6JCODo65vv5\n3yWnRCIp6zhE5YKLiwsyMjLg6+uL+vXr48WLF7hw4QJev34N4O+Nwj6Xnp5eScckgpaWFkxMTGBi\nYlLocQqFAikpKR+Uonfv3kXlypW/aNd6sVgMfX19JCUlsfwkIiqntLS0MHPmTMybNw/Hjh0TOg4R\nEZUwjvwk+oTc3FzcvXsX0dHRMDIyQvPmzZGRkYHw8HCkpaWhadOmMDQ0FDomUZl49+4ddHV1ERQU\nhI4dO370mI9Ne//xxx8RHR2No0ePQltbG9OmTcPUqVPzzvnv6FCxWIyDBw/CxcWlwGOIStvTp09h\na2uLuLi4L7qOkZERfv/9d+4kTERUjmVkZKBBgwY4dOgQrK2thY5DREQlqPhDGYiUhJeXFywtLeHq\n6oqePXvC19cXMpkM3bt3R79+/TBz5kwkJiYKHZOoTGhra0NbWxsBAQHIzMws8nlr1qyBubk5bt68\nCU9PT8yePRtHjx4txaREX05PTw9v3rxBWlpasa+RkZGBV69ecXQzEVE5p66ujrlz52LevHm4efMm\nRo0ahZYtW6J+/fowNzeHo6Mj9u7d+1nvf4iIqHxg+UlUiIsXL8LPzw/Lly9HRkYG1q5di9WrV2P7\n9u3YsGEDfvnlF9y9exdbt24VOipRmZBIJPjll1+wd+9eVK1aFW3btoWHhweuXr1a6Hlt2rTBzJkz\nYWpqipEjR2LIkCHw9vYuo9RExaOpqQkHBwfIZLJiX+PAgQNo3749qlSpUoLJiIioNNSsWRM3btxA\nz549YWRkhG3btuHMmTOQyWQYOXIk9uzZg7p162LOnDnIyMgQOi4RERURy0+iQsTFxaFKlSp503P7\n9OkDR0dHqKmpYeDAgejVqxd69+6NK1euCJyUqOw4Ozvj+fPnOHHiBLp164bLly/DxsYGy5cvL/Ac\nW1vbD36Oiooq7ahEX8zd3R2bNm0q9vmbNm2Cu7t7CSYiIqLSsHbtWri7u2PHjh148uQJZs+eDSsr\nK5iamqJp06bo27cvzpw5g5CQENy/fx+dO3fGmzdvhI5NRERFwPKTqBAqKipIS0vLt7mRqqoqUlJS\n8n7OyspCVlaWEPGIBKOmpgYHBwfMnTsXISEhcHNzw4IFC5CTk1Mi1xeJRPjvktTZ2dklcm2iz+Ho\n6Ig3b97g9OnTn31uUFAQnj17hu7du5dCMiIiKik7duzAhg0bcOnSJfTu3bvQjU0bNGgAf39/tGjR\nAk5OThwBSkRUAbD8JCpEnTp1AAB+fn4AgLCwMFy+fBkSiQQ7duzAoUOHcOrUKdjb2wsZk0hwjRs3\nRk5OToEfAMLCwvL9fPnyZTRu3LjA61WvXh3x8fF5PycmJub7maisiMVi7Nq1C0OGDMHNmzeLfN6f\nf/6JgQMHwtfXt9AP0UREJKzHjx9j5syZOHnyJOrWrVukc8RiMdauXYvq1atjyZIlpZyQiIi+FMtP\nokI0b94c3bt3x7Bhw9C5c2cMHjwYBgYGWLhwIWbMmIEJEybA0NAQI0eOFDoqUZl48+YNHBwc4Ofn\nhz///BMxMTE4cOAAVq5ciU6dOkFbW/uj54WFhcHLywvR0dHYvn079u7dW+iu7R07dsTGjRtx48YN\n3Lx5E8OGDYOGhkZp3RZRob799lts2bIFjo6OOHToEORyeYHHyuVyHDt2DB07dsT69evh4OBQhkmJ\niOhzbd26FUOHDoWZmdlnnScWi7F06VJs376ds8CIiMo5FaEDEJVnGhoaWLhwIdq0aYPg4GA4OTlh\nzJgxUFFRwa1bt/Dw4UPY2tpCXV1d6KhEZUJbWxu2trZYt24doqOjkZmZiVq1amHQoEGYM2cOgL+n\nrP+bSCTClClTcPv2bSxevBja2tpYtGgRnJ2d8x3zb6tXr8aIESNgb2+PGjVqYMWKFbh3717p3yBR\nAVxcXGBgYIDx48dj5syZ+OmnnzBgwAAYGBgAAF6+fIl9+/Zh8+bNyM3NhZqaGrp16yZwaiIiKkxm\nZiZ8fX0REhJSrPMbNWoEc3NzHD58GK6uriWcjoiISopI8d9F1YiIiIjooxQKBa5cuYJNmzbh+PHj\nSE5Ohkgkgra2Nnr06AF3d3fY2tpi2LBhUFdXx5YtW4SOTEREBQgICMDatWtx7ty5Yl9j//792LNn\nDwIDA0swGRERlSSO/CQqon++J/j3CDWFQvHBiDUiIvp6iUQi2NjYwMbGBgDyNvlSUcn/lsrHxwfN\nmjVDYGAgNzwiIiqnnj179tnT3f/LzMwMz58/L6FERERUGlh+EhXRx0pOFp9ERMrtv6XnP3R0dBAT\nE1O2YYiI6LNkZGR88fJV6urqSE9PL6FERERUGrjhERERERERESkdHR0dJCUlfdE13r59i6pVq5ZQ\nIiIiKg0sP4mIiIiIiEjptG7dGsHBwcjOzi72NU6fPg0rK6sSTEVERCWN5SfRJ+Tk5HAqCxERERHR\nV8bCwgLGxsY4fvx4sc7PysrC9u3b8dNPP5VwMiIiKkksP4k+ITAwEK6urkLHICIiIiKiEubu7o4N\nGzbkbW76OY4cOYKGDRvC3Ny8FJIREVFJYflJ9AlcxJyofIiJiYGenh7evHkjdBSqAIYNGwaxWAyJ\nRAKxWJz399u3bwsdjYiIypE+ffrg1atX8Pb2/qzzHj16hEmTJmHevHmllIyIiEoKy0+iT1BXV0dG\nRobQMYiUnpGREXr37g0fHx+ho1AF0blzZyQkJOT9Ex8fj6ZNmwqW50vWlCMiotKhpqaGwMBArFu3\nDitXrizSCNDIyEg4ODhg/vz5cHBwKIOURET0JVh+En2ChoYGy0+icmL27NnYuHEj3r59K3QUqgAq\nVaqE6tWrw8DAIO8fsViMU6dOwc7ODrq6utDT00O3bt3w4MGDfOdeunQJLVq0gIaGBtq0aYPTp09D\nLBbj0qVLAP5eD9rNzQ0mJibQ1NREw4YNsXr16nzXGDx4MJydnbFs2TLUrl0bRkZGAIBff/0VrVu3\nRpUqVWBoaAhXV1ckJCTknZednY1x48bhm2++gbq6OurVq8eRRUREpahOnToICQnBnj170LZtW/j7\n+3/0C6s7d+5g7Nix6NChAxYvXowxY8YIkJaIiD6XitABiMo7TnsnKj/q16+P7t27Y/369SyDqNjS\n0tIwbdo0WFhYIDU1FZ6enujVqxciIyMhkUjw/v179OrVCz169MC+ffvw9OlTTJo0CSKRKO8aubm5\nqFevHg4ePAh9fX2EhYVh1KhRMDAwwODBg/OOCw4Oho6ODn777be80UQ5OTlYvHgxGjZsiJcvX2L6\n9OkYMGAAzp07BwDw9vZGYGAgDh48iDp16iAuLg4PHz4s218SEZGSqVOnDoKDg1G/fn14e3tj0qRJ\nsLe3h46ODjIyMnD//n08fvwYo0aNwu3bt1GrVi2hIxMRURGJFMVZ2ZlIiTx48ADdu3fnB0+icuL+\n/fvo378/rl+/DlVVVaHjUDk1bNgw7N27F+rq6nmPdejQAYGBgR8cm5ycDF1dXVy+fBnW1tbYuHEj\nFi5ciLi4OKipqQEA9uzZgx9//BF//PEH2rZt+9HX9PDwQGRkJE6ePAng75GfwcHBiI2NhYpKwd83\n37lzB5aWlkhISICBgQHGjh2LR48e4fTp01/yKyAios+0aNEiPHz4EL/++iuioqIQHh6Ot2/fQkND\nA9988w06derE9x5ERBUQR34SfQKnvROVLw0bNkRERITQMagC+Pbbb7F9+/a8EZcaGhoAgOjoaPz8\n88+4cuUKXr16BblcDgCIjY2FtbU17t+/D0tLy7ziEwDatGnzwTpwGzduxO7du/HkyROkp6cjOzsb\npqam+Y6xsLD4oPi8fv06Fi1ahFu3buHNmzeQy+UQiUSIjY2FgYEBhg0bBkdHRzRs2BCOjo7o1q0b\nHB0d8408JSKikvfvWSVNmjRBkyZNBExDREQlhWt+En0Cp70TlT8ikYhFEH2SpqYmjI2NYWJiAhMT\nE9SsWRMA0K1bNyQlJWHHjh24evUqwsPDIRKJkJWVVeRr+/n5wcPDAyNGjMDZs2dx69YtjB49+oNr\naGlp5fs5JSUFXbp0gY6ODvz8/HD9+vW8kaL/nGtlZYUnT55gyZIlyMnJwaBBg9CtW7cv+VUQERER\nESktjvwk+gTu9k5U8cjlcojF/H6PPvTixQtER0fD19cX7dq1AwBcvXo1b/QnADRq1AgymQzZ2dl5\n0xuvXLmSr3APDQ1Fu3btMHr06LzHirI8SlRUFJKSkrBs2bK89eI+NpJZW1sbffv2Rd++fTFo0CC0\nb98eMTExeZsmERERERFR0fCTIdEncNo7UcUhl8tx8OBBSKVSzJgxA5cvXxY6EpUz+vr6qFatGrZt\n24ZHjx7h/PnzGDduHCQSSd4xgwcPRm5uLkaOHIl79+7ht99+g5eXFwDkFaBmZma4fv06zp49i+jo\naCxcuDBvJ/jCGBkZQU1NDevWrUNMTAxOnDiBBQsW5Dtm9erVkMlkuH//Ph4+fIj//e9/qFq1Kr75\n5puS+0UQERERESkJlp9En/DPWm3Z2dkCJyGigvwzXTg8PBzTp0+HRCLBtWvX4Obmhnfv3gmcjsoT\nsVgMf39/hIeHw8LCAhMnTsTy5cvzbWBRuXJlnDhxArdv30aLFi0wa9YsLFy4EAqFIm8DJXd3d7i4\nuMDV1RVt2rTB8+fPMXny5E++voGBAXbv3o1Dhw6hSZMmWLp0KdasWZPvGG1tbXh5eaF169awtrZG\nVFQUzpw5k28NUiIiEk5ubi7EYjECAgJK9RwiIioZ3O2dqAi0tbURHx+PypUrCx2FiP4lLS0Nc+fO\nxalTp1C/fn00bdoU8fHx2L17NwDA0dERpqam2LRpk7BBqcI7dOgQXF1d8erVK+jo6Agdh4iICuDk\n5ITU1FQEBQV98Nzdu3dhbm6Os2fPolOnTsV+jdzcXKiqquLo0aPo1atXkc978eIFdHV1uWM8EVEZ\n48hPoiLg1Hei8kehUMDV1RVXr17F0qVL0bJlS5w6dQrp6el5GyJNnDgRf/zxBzIzM4WOSxXM7t27\nERoaiidPnuD48eOYOnUqnJ2dWXwSEZVzbm5uOH/+PGJjYz94bufOnTAyMvqi4vNLGBgYsPgkIhIA\ny0+iIuCO70Tlz4MHD/Dw4UMMGjQIzs7O8PT0hLe3Nw4dOoSYmBikpqYiICAA1atX57+/9NkSEhIw\ncOBANGrUCBMnToSTk1PeiGIiIiq/unfvDgMDA/j6+uZ7PCcnB3v37oWbmxsAwMPDAw0bNoSmpiZM\nTEwwa9asfMtcxcbGwsnJCXr/x96dx9WU/38Af91bpCRLDNLYWqjIFJGlscwY62Aw1koLKRHGXooi\nEcKYoYmyVGMsNQ3GN+abwcgyIbKlEmWJyCSJtnt+f8zX/claVKd7ez0fj3k85p57zrmv0yPndt/3\n/fl8tLVRu3ZtmJiYICIi4o2vef36dUilUiQkJMi3vTrMncPeiYjEw9XeiUqBK74TVT2ampp49uwZ\nrKys5NssLCxgYGCASZMm4e7du1BVVYW1tTXq1asnYlJSRPPnz8f8+fPFjkFERGWkoqKCCRMmYOvW\nrVi0aJF8+969e5GVlQV7e3sAQN26dbF9+3Y0bdoUly9fxuTJk6GhoQFPT08AwOTJkyGRSHDs2DFo\namoiMTGxxOJ4r3qxIB4REVU97PwkKgUOeyeqepo1awZjY2OsWbMGxcXFAP79YPPkyRP4+vrCzc0N\nDg4OcHBwAPDvSvBERESk/BwdHZGWllZi3s+QkBB89dVX0NHRAQAsXLgQXbp0QfPmzTFgwADMmzcP\nO3bskO+fnp4OKysrmJiYoEWLFujXr987h8tzKQ0ioqqLnZ9EpcBh70RV06pVqzBy5Ej06dMHn332\nGWJjYzFkyBB07twZnTt3lu+Xn58PNTU1EZMSERFRZdHX10fPnj0REhKCL7/8Enfv3sXBgwexa9cu\n+T47d+7E+vXrcf36deTm5qKoqKhEZ+f06dMxdepU7N+/H1988QWGDx+Ozz77TIzLISKij8TOT6JS\nYOcnUdVkbGyM9evXo127dkhISMBnn30Gb29vAMDDhw+xb98+jB49Gg4ODlizZg2uXr0qcmIiIiKq\nDI6OjoiKikJ2dja2bt0KbW1t+crsx48fh7W1NQYPHoz9+/fj/Pnz8PHxQUFBgfx4Jycn3LhxA3Z2\ndrh27RosLS2xbNmyN76WVPrvx+qXuz9fnj+UiIjExeInUSlwzk+iquuLL77Ajz/+iP3792Pz5s34\n5JNPEBISgs8//xzDhw/HP//8g8LCQmzZsgVjxoxBUVGR2JGJ3uvBgwfQ0dHBsWPHxI5CRKSQRo4c\niVq1aiE0NBRbtmzBhAkT5J2dJ06cQMuWLTF//nx07NgRenp6uHHjxmvnaNasGSZNmoSdO3fCy8sL\nQUFBb3ytRo0aAQAyMjLk2+Lj4yvgqoiI6EOw+ElUChz2TlS1FRcXo3bt2rh9+za+/PJLODs74/PP\nP8e1a9fwn//8Bzt37sTff/8NNTU1LF26VOy4RO/VqFEjBAUFYcKECcjJyRE7DhGRwqlVqxbGjh2L\nxYsXIzU1VT4HOAAYGhoiPT0dv/zyC1JTU/HDDz9g9+7dJY53c3PDoUOHcOPGDcTHx+PgwYMwMTF5\n42tpamqiU6dOWL58Oa5evYrjx49j3rx5XASJiKiKYPGTqBQ47J2oanvRyfH999/j4cOH+O9//4vA\nwEC0bt0awL8rsNaqVQsdO3bEtWvXxIxKVGqDBw9G3759MXPmTLGjEBEppIkTJyI7Oxvdu3dHmzZt\n5NuHDRuGmTNnYvr06TAzM8OxY8fg4+NT4tji4mJMnToVJiYmGDBgAD799FOEhITIn3+1sLlt2zYU\nFRXBwsICU6dOha+v72t5WAwlIhKHROCydETvZWdnh169esHOzk7sKET0Fnfu3MGXX36JcePGwdPT\nU766+4t5uJ48eQIjIyPMmzcP06ZNEzMqUanl5uaiQ4cOCAgIwNChQ8WOQ0RERESkcNj5SVQKHPZO\nVPXl5+cjNzcXY8eOBfBv0VMqlSIvLw+7du1Cnz598Mknn2DMmDEiJyUqPU1NTWzfvh3Ozs64f/++\n2HGIiIiIiBQOi59EpcBh70RVX+vWrdGsWTP4+PggOTkZz549Q2hoKNzc3LB69Wro6upi3bp18kUJ\niBRF9+7dYW9vj0mTJoEDdoiIiIiIyobFT6JS4GrvRIph48aNSE9PR5cuXdCwYUMEBATg+vXrGDhw\nINatWwcrKyuxIxJ9kMWLF+PWrVsl5psjIiIiIqL3UxU7AJEi4LB3IsVgZmaGAwcOICYmBmpqaigu\nLkaHDh2go6MjdjSij1KzZk2Ehoaid+/e6N27t3wxLyIiIiIiejcWP4lKQV1dHQ8fPhQ7BhGVgoaG\nBr7++muxYxCVu3bt2mHBggWwtbXF0aNHoaKiInYkIiIiIqIqj8PeiUqBw96JiKgqmDFjBmrWrImV\nK1eKHYWIiIiISCGw+ElUChz2TkREVYFUKsXWrVsREBCA8+fPix2HiKhKe/DgAbS1tZGeni52FCIi\nEhGLn0SlwNXeiRSbIAhcJZuURvPmzbFq1SrY2NjwvYmI6B1WrVqF0aNHo3nz5mJHISIiEbH4SVQK\nHPZOpLgEQcDu3bsRHR0tdhSicmNjY4M2bdpg4cKFYkchIqqSHjx4gE2bNmHBggViRyEiIpGx+ElU\nChz2TqS4JBIJJBIJFi9ezO5PUhoSiQSBgYHYsWMHjhw5InYcIqIqZ+XKlRgzZgw+/fRTsaMQEZHI\nWPwkKgUOeydSbCNGjEBubi4OHTokdhSictOwYUNs2rQJdnZ2ePz4sdhxiIiqjMzMTGzevJldn0RE\nBIDFT6JSYecnkWKTSqVYuHAhvL292f1JSmXgwIHo378/pk+fLnYUIqIqY+XKlRg7diy7PomICACL\nn0Slwjk/iRTfqFGjkJWVhcOHD4sdhahcrVq1CrGxsYiMjBQ7ChGR6DIzMxEcHMyuTyIikmPxk6gU\nOOydSPGpqKhg4cKF8PHxETsKUbnS1NREaGgopkyZgnv37okdh4hIVP7+/hg3bhx0dXXFjkJERFUE\ni59EpcBh70TKYezYsbhz5w6OHj0qdhSicmVpaYlJkyZh4sSJnNqBiKqt+/fvIyQkhF2fRERUAouf\nRKXAYe9EykFVVRUeHh7s/iSl5OXlhYyMDGzatEnsKEREovD398f48ePRrFkzsaMQEVEVIhHYHkD0\nXo8ePYK+vj4ePXokdhQi+kiFhYUwNDREaGgoevToIXYconJ15coVfP755zh16hT09fXFjkNEVGnu\n3bsHY2NjXLx4kcVPIiIqgZ2fRKXAYe9EyqNGjRpwd3fHkiVLxI5CVO6MjY3h6ekJW1tbFBUViR2H\niKjS+Pv7w9ramoVPIiJ6DTs/iUpBJpNBVVUVxcXFkEgkYschoo9UUFAAAwMD7Ny5E5aWlmLHISpX\nMpkMX331Ffr06QN3d3ex4xARVbgXXZ+XLl2Cjo6O2HGIiKiKYfGTqJTU1NSQk5MDNTU1saMQUTnY\nuHEj9u/fj99//13sKETl7tatW+jYsSOio6Nhbm4udhwiogr13Xffobi4GOvWrRM7ChERVUEsfhKV\nUt26dZGWloZ69eqJHYWIykF+fj709PQQFRWFTp06iR2HqNyFh4dj2bJlOHPmDNTV1cWOQ0RUITIy\nMmBiYoLLly+jadOmYschIqIqiHN+EpUSV3wnUi5qamqYN28e5/4kpTVu3Di0a9eOQ9+JSKn5+/vD\n1taWhU8iInordn4SlVLLli1x5MgRtGzZUuwoRFROnj17Bj09Pfz+++8wMzMTOw5RuXv06BFMTU2x\nfft29OnTR+w4RETlil2fRERUGuz8JColrvhOpHzU1dUxZ84cLF26VOwoRBWiQYMG2LyJ5guDAAAg\nAElEQVR5M+zt7ZGdnS12HCKicrVixQpMmDCBhU8iInondn4SldJnn32GLVu2sDuMSMnk5eWhdevW\n+OOPP9C+fXux4xBVCFdXV+Tk5CA0NFTsKERE5eLu3bto164drly5giZNmogdh4iIqjB2fhKVkrq6\nOuf8JFJCGhoamDVrFrs/San5+/vj9OnT2L17t9hRiIjKxYoVK2BnZ8fCJxERvZeq2AGIFAWHvRMp\nLxcXF+jp6eHKlSswNjYWOw5RuatduzZCQ0MxZMgQ9OjRg0NEiUih3blzB6Ghobhy5YrYUYiISAGw\n85OolLjaO5Hy0tTUxMyZM9n9SUqtS5cucHZ2hoODAzjrEREpshUrVsDe3p5dn0REVCosfhKVEoe9\nEyk3V1dX/PHHH0hMTBQ7ClGFWbhwIR4+fIjAwECxoxARfZA7d+4gLCwMc+fOFTsKEREpCBY/iUqJ\nw96JlFudOnUwffp0LFu2TOwoRBWmRo0aCA0NhZeXF5KTk8WOQ0RUZsuXL4eDgwMaN24sdhQiIlIQ\nnPOTqJQ47J1I+U2bNg16enpISUmBvr6+2HGIKkTbtm3h5eUFGxsbHD9+HKqq/HOQiBTD7du3ER4e\nzlEaRERUJuz8JColDnsnUn5169bF1KlT2f1JSs/V1RVaWlrw8/MTOwoRUaktX74cjo6O+OSTT8SO\nQkRECoRf9ROVEoe9E1UP06dPh76+Pm7cuIFWrVqJHYeoQkilUmzZsgVmZmYYMGAAOnXqJHYkIqJ3\nunXrFn7++Wd2fRIRUZmx85OolDjsnah6qF+/PlxcXNgRR0qvWbNm+P7772FjY8Mv94ioylu+fDkm\nTpzIrk8iIiozFj+JSonD3omqj5kzZ2LPnj1IS0sTOwpRhRozZgw+++wzzJ8/X+woRERvdevWLezY\nsQOzZ88WOwoRESkgFj+JSuH58+d4/vw57t69i/v376O4uFjsSERUgbS1teHk5IQVK1YAAGQyGTIz\nM5GcnIxbt26xS46Uyo8//ojIyEj88ccfYkchInojPz8/TJo0iV2fRET0QSSCIAhihyCqqs6ePYsN\nGzZg9+7dqFWrFtTU1PD8+XPUrFkTTk5OmDRpEnR0dMSOSUQVIDMzE4aGhnBxccGOHTuQm5uLevXq\n4fnz53j8+DGGDh2KKVOmoGvXrpBIJGLHJfoof/zxBxwcHJCQkID69euLHYeISC49PR1mZmZITExE\no0aNxI5DREQKiJ2fRG+QlpaG7t27Y+TIkTA0NMT169eRmZmJW7du4cGDB4iOjsb9+/fRrl07ODk5\nIT8/X+zIRFSOioqKsHz5chQXF+POnTuIiIjAw4cPkZKSgtu3byM9PR0dO3aEnZ0dOnbsiGvXrokd\nmeij9O3bF9988w1cXV3FjkJEVMKLrk8WPomI6EOx85PoFVeuXEHfvn0xe/ZsuLm5QUVF5a375uTk\nwMHBAVlZWfj999+hoaFRiUmJqCIUFBRgxIgRKCwsxM8//4wGDRq8dV+ZTIbg4GB4enpi//79XDGb\nFFpeXh7Mzc3h7e2N0aNHix2HiAhpaWkwNzfHtWvX0LBhQ7HjEBGRgmLxk+glGRkZ6Nq1K5YsWQIb\nG5tSHVNcXAw7Ozvk5uYiIiICUikbqokUlSAIsLe3xz///IM9e/agRo0apTrut99+g4uLC2JjY9Gq\nVasKTklUceLi4jB48GCcO3cOzZo1EzsOEVVzzs7OqF+/Pvz8/MSOQkRECozFT6KXTJs2DTVr1sTq\n1avLdFxBQQEsLCzg5+eHgQMHVlA6IqpoJ06cgI2NDRISElC7du0yHbtkyRIkJSUhNDS0gtIRVQ4f\nHx/ExsYiOjqa89kSkWjY9UlEROWFxU+i/8nNzUXz5s2RkJAAXV3dMh8fEhKCyMhI7N+/vwLSEVFl\nsLa2hrm5Ob777rsyH/vo0SPo6ekhKSmJ85KRQisqKkL37t1ha2vLOUCJSDSTJ0+GtrY2li1bJnYU\nIiJScCx+Ev3PTz/9hIMHDyIyMvKDjs/Ly0Pz5s0RFxfHYa9ECujF6u6pqanvnOfzXRwcHNCmTRvM\nmzevnNMRVa6kpCR069YNsbGxaNOmjdhxiKiaedH1mZSUBG1tbbHjEBGRguPkhET/s3//fowbN+6D\nj9fQ0MDQoUNx4MCBckxFRJXlv//9L/r06fPBhU8AGD9+PPbt21eOqYjEYWhoCB8fH9jY2KCwsFDs\nOERUzfj6+sLZ2ZmFTyIiKhcsfhL9T1ZWFpo2bfpR52jatCkePXpUTomIqDKVxz2gSZMmvAeQ0nBx\ncUGDBg3g6+srdhQiqkZu3ryJiIiID5qChoiI6E1Y/CQiIiKi10gkEoSEhGDjxo34+++/xY5DRNWE\nr68vXFxc2PVJRETlhsVPov/R1tZGRkbGR50jIyPjo4bMEpF4yuMecO/ePd4DSKno6Ohg/fr1sLGx\nQV5enthxiEjJ3bhxA5GRkez6JCKicsXiJ9H/DB48GD///PMHH5+Xl4fffvsNAwcOLMdURFRZvvzy\nSxw+fPijhq2Hh4fj66+/LsdUROIbNWoULCwsMHfuXLGjEJGS8/X1xZQpU/hFIhERlSuu9k70P7m5\nuWjevDkSEhKgq6tb5uNDQkLg7++PmJgYNGvWrAISElFFs7a2hrm5+Qd1nDx69AgtW7ZEcnIyGjdu\nXAHpiMSTnZ0NU1NTbNq0Cf369RM7DhEpodTUVHTu3BlJSUksfhIRUbli5yfR/2hqamL8+PFYs2ZN\nmY8tKCjA2rVrYWRkhPbt28PV1RXp6ekVkJKIKtKUKVPw448/4unTp2U+9ocffkCdOnUwaNAgxMTE\nVEA6IvHUq1cPW7ZsgaOjIxf1IqIKwa5PIiKqKCx+Er3Ew8MDERER2L59e6mPKS4uhqOjI/T09BAR\nEYHExETUqVMHZmZmcHJywo0bNyowMRGVp65du8LKygrjxo1DYWFhqY+LiopCYGAgjh07hjlz5sDJ\nyQn9+/fHhQsXKjAtUeX64osvMHLkSLi4uIADh4ioPKWmpuK3337DzJkzxY5CRERKiMVPopc0adIE\nBw4cwIIFCxAQEIDi4uJ37p+Tk4NRo0bh9u3bCA8Ph1QqxSeffILly5cjKSkJjRs3RqdOnWBvb4/k\n5ORKugoi+lASiQRBQUEQBAGDBw9GVlbWO/eXyWTYtGkTnJ2dsXfvXujp6WH06NG4evUqBg0ahK++\n+go2NjZIS0urpCsgqlh+fn64ePEiduzYIXYUIlIiS5cuhaurK+rXry92FCIiUkIsfhK9wtjYGCdO\nnEBERAT09PSwfPlyZGZmltjn4sWLcHFxQcuWLdGwYUNER0dDQ0OjxD7a2tpYsmQJrl+/jlatWqFb\nt26wtrbG1atXK/NyiKiMatasicjISJiYmEBfXx+Ojo44e/ZsiX0ePXqEgIAAtGnTBhs3bsTRo0fR\nqVOnEueYNm0akpOT0bJlS5iZmWHWrFnvLaYSVXXq6uoICwvDjBkzcOvWLbHjEJESuH79Ovbu3YsZ\nM2aIHYWIiJQUi59Eb9CiRQvExsYiIiICKSkp0NfXR9OmTaGvr49GjRphwIABaNq0KS5duoSffvoJ\nampqbz1XvXr14OXlhevXr8PExAS9evXC6NGjcfHixUq8IiIqC1VVVQQEBCApKQmGhoYYMWIEtLW1\n5fcAXV1dxMfHY/v27Th79izatGnzxvNoaWlhyZIluHz5Mp4+fYq2bdtixYoVePbsWSVfEVH5MTc3\nh5ubG+zt7SGTycSOQ0QKbunSpZg6dSq7PomIqMJwtXeiUsjPz8fDhw+Rl5eHunXrQltbGyoqKh90\nrtzcXAQGBmL16tXo2rUrPD09YWZmVs6Jiag8yWQyZGVlITs7G7t27UJqaiqCg4PLfJ7ExES4u7sj\nLi4OPj4+sLW1/eB7CZGYioqKYGVlhbFjx8LNzU3sOESkoFJSUmBpaYmUlBTUq1dP7DhERKSkWPwk\nIiIiojJLSUlB165dcezYMRgZGYkdh4gU0Pr165GVlYXFixeLHYWIiJQYi59ERERE9EF++uknbNq0\nCSdPnkSNGjXEjkNECuTFx1BBECCVcjY2IiKqOHyXISIiIqIP4uTkhMaNG2PJkiViRyEiBSORSCCR\nSFj4JCKiCsfOTyIiIiL6YBkZGTAzM0NUVBQsLS3FjkNEREREVAK/ZiOlIpVKERkZ+VHn2LZtG7S0\ntMopERFVFa1atUJAQECFvw7vIVTdNG3aFD/++CNsbGzw9OlTseMQEREREZXAzk9SCFKpFBKJBG/6\ndZVIJJgwYQJCQkKQmZmJ+vXrf9S8Y/n5+Xjy5AkaNmz4MZGJqBLZ29tj27Zt8uFzOjo6GDRoEJYt\nWyZfPTYrKwu1a9dGrVq1KjQL7yFUXU2YMAEaGhrYuHGj2FGIqIoRBAESiUTsGEREVE2x+EkKITMz\nU/7/+/btg5OTE+7duycvhqqrq6NOnTpixSt3hYWFXDiCqAzs7e1x9+5dhIWFobCwEFeuXIGDgwOs\nrKwQHh4udrxyxQ+QVFU9fvwYpqamCAwMxIABA8SOQ0RVkEwm4xyfRERU6fjOQwrhk08+kf/3oour\nUaNG8m0vCp8vD3tPS0uDVCrFzp070atXL2hoaMDc3BwXL17E5cuX0b17d2hqasLKygppaWny19q2\nbVuJQurt27cxbNgwaGtro3bt2jA2NsauXbvkz1+6dAl9+/aFhoYGtLW1YW9vj5ycHPnzZ86cQb9+\n/dCoUSPUrVsXVlZWOHXqVInrk0ql2LBhA0aMGAFNTU14eHhAJpNh4sSJaN26NTQ0NGBoaIiVK1eW\n/w+XSEmoqamhUaNG0NHRwZdffolRo0bh0KFD8udfHfYulUoRGBiIYcOGoXbt2mjTpg2OHDmCO3fu\noH///tDU1ISZmRni4+Plx7y4Pxw+fBjt27eHpqYm+vTp8857CAAcOHAAlpaW0NDQQMOGDTF06FAU\nFBS8MRcA9O7dG25ubm+8TktLSxw9evTDf1BEFaRu3brYunUrJk6ciIcPH4odh4hEVlxcjNOnT8PV\n1RXu7u548uQJC59ERCQKvvuQ0lu8eDEWLFiA8+fPo169ehg7dizc3Nzg5+eHuLg4PH/+/LUiw8td\nVS4uLnj27BmOHj2KK1euYO3atfICbF5eHvr16wctLS2cOXMGUVFROHHiBBwdHeXHP3nyBLa2toiN\njUVcXBzMzMwwaNAg/PPPPyVe08fHB4MGDcKlS5fg6uoKmUwGXV1d7NmzB4mJiVi2bBn8/PywZcuW\nN15nWFgYioqKyuvHRqTQUlNTER0d/d4Oal9fX4wbNw4JCQmwsLDAmDFjMHHiRLi6uuL8+fPQ0dGB\nvb19iWPy8/OxfPlybN26FadOnUJ2djacnZ1L7PPyPSQ6OhpDhw5Fv379cO7cORw7dgy9e/eGTCb7\noGubNm0aJkyYgMGDB+PSpUsfdA6iitK7d2+MGTMGLi4ub5yqhoiqj9WrV2PSpEn4+++/ERERAQMD\nA5w8eVLsWEREVB0JRApmz549glQqfeNzEolEiIiIEARBEG7evClIJBJh06ZN8uf3798vSCQSISoq\nSr5t69atQp06dd762NTUVPDx8Xnj6wUFBQn16tUTnj59Kt925MgRQSKRCNevX3/jMTKZTGjatKkQ\nHh5eIvf06dPfddmCIAjC/Pnzhb59+77xOSsrK0FfX18ICQkRCgoK3nsuImViZ2cnqKqqCpqamoK6\nurogkUgEqVQqrFu3Tr5Py5YthdWrV8sfSyQSwcPDQ/740qVLgkQiEdauXSvfduTIEUEqlQpZWVmC\nIPx7f5BKpUJycrJ8n/DwcKFWrVryx6/eQ7p37y6MGzfurdlfzSUIgtCrVy9h2rRpbz3m+fPnQkBA\ngNCoUSPB3t5euHXr1lv3Japsz549E0xMTITQ0FCxoxCRSHJycoQ6deoI+/btE7KysoSsrCyhT58+\nwpQpUwRBEITCwkKRExIRUXXCzk9Seu3bt5f/f+PGjSGRSNCuXbsS254+fYrnz5+/8fjp06djyZIl\n6NatGzw9PXHu3Dn5c4mJiTA1NYWGhoZ8W7du3SCVSnHlyhUAwIMHDzB58mS0adMG9erVg5aWFh48\neID09PQSr9OxY8fXXjswMBAWFhbyof1r1qx57bgXjh07hs2bNyMsLAyGhoYICgqSD6slqg569uyJ\nhIQExMXFwc3NDQMHDsS0adPeecyr9wcAr90fgJLzDqupqUFfX1/+WEdHBwUFBcjOzn7ja8THx6NP\nnz5lv6B3UFNTw8yZM5GUlITGjRvD1NQU8+bNe2sGospUq1YthIaG4rvvvnvrexYRKbc1a9agS5cu\nGDx4MBo0aIAGDRpg/vz52Lt3Lx4+fAhVVVUA/04V8/Lf1kRERBWBxU9Sei8Pe30xFPVN2942BNXB\nwQE3b96Eg4MDkpOT0a1bN/j4+Lz3dV+c19bWFmfPnsW6detw8uRJXLhwAc2aNXutMFm7du0Sj3fu\n3ImZM2fCwcEBhw4dwoULFzBlypR3FjR79uyJmJgYhIWFITIyEvr6+vjxxx/fWth9m6KiIly4cAGP\nHz8u03FEYtLQ0ECrVq1gYmKCtWvX4unTp+/9t1qa+4MgCCXuDy8+sL163IcOY5dKpa8NDy4sLCzV\nsfXq1YOfnx8SEhLw8OFDGBoaYvXq1WX+N09U3szMzDBz5kzY2dl98L8NIlJMxcXFSEtLg6GhoXxK\npuLiYvTo0QN169bF7t27AQB3796Fvb09F/EjIqIKx+InUSno6Ohg4sSJ+OWXX+Dj44OgoCAAgJGR\nES5evIinT5/K942NjYUgCDA2NpY/njZtGvr37w8jIyPUrl0bGRkZ733N2NhYWFpawsXFBZ999hla\nt26NlJSUUuXt3r07oqOjsWfPHkRHR0NPTw9r165FXl5eqY6/fPky/P390aNHD0ycOBFZWVmlOo6o\nKlm0aBFWrFiBe/fufdR5PvZDmZmZGWJiYt76fKNGjUrcE54/f47ExMQyvYauri6Cg4Px559/4ujR\no2jbti1CQ0NZdCJRzZ07F/n5+Vi3bp3YUYioEqmoqGDUqFFo06aN/AtDFRUVqKuro1evXjhw4AAA\nYOHChejZsyfMzMzEjEtERNUAi59U7bzaYfU+M2bMwMGDB3Hjxg2cP38e0dHRMDExAQCMHz8eGhoa\nsLW1xaVLl3Ds2DE4OztjxIgRaNWqFQDA0NAQYWFhuHr1KuLi4jB27Fioqam993UNDQ1x7tw5REdH\nIyUlBUuWLMGxY8fKlL1z587Yt28f9u3bh2PHjkFPTw+rVq16b0GkefPmsLW1haurK0JCQrBhwwbk\n5+eX6bWJxNazZ08YGxtj6dKlH3We0twz3rWPh4cHdu/eDU9PT1y9ehWXL1/G2rVr5d2Zffr0QXh4\nOI4ePYrLly/D0dERxcXFH5TVxMQEe/fuRWhoKDZs2ABzc3McPHiQC8+QKFRUVLB9+3YsW7YMly9f\nFjsOEVWiL774Ai4uLgBKvkdaW1vj0qVLuHLlCn7++WesXr1arIhERFSNsPhJSuXVDq03dWyVtYtL\nJpPBzc0NJiYm6NevH5o0aYKtW7cCANTV1XHw4EHk5OSgS5cu+Oabb9C9e3cEBwfLj9+yZQtyc3PR\nqVMnjBs3Do6OjmjZsuV7M02ePBmjRo3C+PHj0blzZ6Snp2P27Nllyv6Cubk5IiMjcfDgQaioqLz3\nZ1C/fn3069cP9+/fh6GhIfr161eiYMu5RElRzJo1C8HBwbh169YH3x9Kc8941z4DBgzAr7/+iujo\naJibm6N37944cuQIpNJ/34IXLFiAPn36YNiwYejfvz+srKw+ugvGysoKJ06cgJeXF9zc3PDll1/i\n7NmzH3VOog+hp6eHZcuWwdramu8dRNXAi7mnVVVVUaNGDQiCIH+PzM/PR6dOnaCrq4tOnTqhT58+\nMDc3FzMuERFVExKB7SBE1c7Lf4i+7bni4mI0bdoUEydOhIeHh3xO0ps3b2Lnzp3Izc2Fra0tDAwM\nKjM6EZVRYWEhgoOD4ePjg549e8LX1xetW7cWOxZVI4IgYMiQITA1NYWvr6/YcYiogjx58gSOjo7o\n378/evXq9db3milTpiAwMBCXLl2STxNFRERUkdj5SVQNvatL7cVwW39/f9SqVQvDhg0rsRhTdnY2\nsrOzceHCBbRp0warV6/mvIJEVViNGjXg7OyMpKQkGBkZwcLCAtOnT8eDBw/EjkbVhEQiwebNmxEc\nHIwTJ06IHYeIKkhoaCj27NmD9evXY86cOQgNDcXNmzcBAJs2bZL/jenj44OIiAgWPomIqNKw85OI\n3qhJkyaYMGECPD09oampWeI5QRBw+vRpdOvWDVu3boW1tbV8CC8RVW2ZmZlYsmQJduzYgZkzZ2LG\njBklvuAgqii//vor5syZg/Pnz7/2vkJEiu/s2bOYMmUKxo8fjwMHDuDSpUvo3bs3ateuje3bt+PO\nnTuoX78+gHePQiIiIipvrFYQkdyLDs5Vq1ZBVVUVw4YNe+0DanFxMSQSiXwxlUGDBr1W+MzNza20\nzERUNp988gnWr1+PU6dOISEhAYaGhggKCkJRUZHY0UjJffPNN7CyssKsWbPEjkJEFaBjx47o0aMH\nHj9+jOjoaPzwww/IyMhASEgI9PT0cOjQIVy/fh1A2efgJyIi+hjs/CQiCIKA//73v9DU1ETXrl3x\n6aefYvTo0Vi0aBHq1Knz2rfzN27cgIGBAbZs2QIbGxv5OSQSCZKTk7Fp0ybk5eXB2toalpaWYl0W\nEZVCXFwc5s6di3v37sHPzw9Dhw7lh1KqMDk5OejQoQPWr1+PwYMHix2HiMrZ7du3YWNjg+DgYLRu\n3Rq7du2Ck5MT2rVrh5s3b8Lc3Bzh4eGoU6eO2FGJiKgaYecnEUEQBPz555/o3r07WrdujdzcXAwd\nOlT+h+mLQsiLztClS5fC2NgY/fv3l5/jxT5Pnz5FnTp1cO/ePXTr1g3e3t6VfDVEVBYWFhY4fPgw\nVq9eDU9PT/To0QOxsbFixyIlpaWlhW3btmHhwoXsNiZSMsXFxdDV1UWLFi2waNEiAMCcOXPg7e2N\n48ePY/Xq1ejUqRMLn0REVOnY+UlEcqmpqfDz80NwcDAsLS2xbt06dOzYscSw9lu3bqF169YICgqC\nvb39G88jk8kQExOD/v37Y//+/RgwYEBlXQIRfYTi4mKEhYXB09MT5ubm8PPzg5GRkdixSAnJZDJI\nJBJ2GRMpiZdHCV2/fh1ubm7Q1dXFr7/+igsXLqBp06YiJyQiouqMnZ9EJNe6dWts2rQJaWlpaNmy\nJTZs2ACZTIbs7Gzk5+cDAHx9fWFoaIiBAwe+dvyL71JerOzbuXNnFj5JqT1+/BiamppQlu8RVVRU\nMGHCBFy7dg3du3fH559/DicnJ9y9e1fsaKRkpFLpOwufz58/h6+vL3bt2lWJqYiorPLy8gCUHCWk\np6eHHj16ICQkBO7u7vLC54sRRERERJWNxU8ies2nn36Kn3/+GT/99BNUVFTg6+sLKysrbNu2DWFh\nYZg1axYaN2782nEv/vCNi4tDZGQkPDw8Kjs6UaWqW7cuateujYyMDLGjlCt1dXXMmTMH165dQ926\nddG+fXssXLgQOTk5YkejauL27du4c+cOvLy8sH//frHjENEb5OTkwMvLCzExMcjOzgYA+WghOzs7\nBAcHw87ODsC/X5C/ukAmERFRZeE7EBG9Vc2aNSGRSODu7g49PT1MnjwZeXl5EAQBhYWFbzxGJpNh\n3bp16NChAxezoGrBwMAAycnJYseoEA0aNMDKlSsRHx+P27dvw8DAAN9//z0KCgpKfQ5l6YqlyiMI\nAvT19REQEAAnJydMmjRJ3l1GRFWHu7s7AgICYGdnB3d3dxw9elReBG3atClsbW1Rr1495Ofnc4oL\nIiISFYufRPRe9evXx44dO5CZmYkZM2Zg0qRJcHNzwz///PPavhcuXMDu3bvZ9UnVhqGhIZKSksSO\nUaGaN2+OrVu34o8//kB0dDTatm2LHTt2lGoIY0FBAR4+fIiTJ09WQlJSZIIglFgEqWbNmpgxYwb0\n9PSwadMmEZMR0atyc3Nx4sQJBAYGwsPDA9HR0fj222/h7u6OI0eO4NGjRwCAq1evYvLkyXjy5InI\niYmIqDpj8ZOISk1LSwsBAQHIycnB8OHDoaWlBQBIT0+Xzwm6du1aGBsb45tvvhEzKlGlUebOz1eZ\nmpriwIEDCA4ORkBAADp37owbN2688xgnJyd8/vnnmDJlCj799FMWsagEmUyGO3fuoLCwEBKJBKqq\nqvIOMalUCqlUitzcXGhqaoqclIhedvv2bXTs2BGNGzeGs7MzUlNTsWTJEkRHR2PUqFHw9PTE0aNH\n4ebmhszMTK7wTkREolIVOwARKR5NTU307dsXwL/zPS1btgxHjx7FuHHjEBERge3bt4uckKjyGBgY\nIDw8XOwYlap37944ffo0IiIi8Omnn751v7Vr1+LXX3/FqlWr0LdvXxw7dgxLly5F8+bN0a9fv0pM\nTFVRYWEhWrRogXv37sHKygrq6uro2LEjzMzM0LRpUzRo0ADbtm1DQkICWrZsKXZcInqJoaEh5s2b\nh4YNG8q3TZ48GZMnT0ZgYCD8/f3x888/4/Hjx7hy5YqISYmIiACJwMm4iOgjFRUVYf78+QgJCUF2\ndjYCAwMxduxYfstP1UJCQgLGjh2Ly5cvix1FFIIgvHUuNxMTE/Tv3x+rV6+Wb3N2dsb9+/fx66+/\nAvh3qowOHTpUSlaqegICAjB79mxERkbizJkzOH36NB4/foxbt26hoKAAWlpacHd3x6RJk8SOSkTv\nUVRUBFXV/++tadOmDSwsLBAWFiZiKiIiInZ+ElE5UFVVxapVq7By5Ur4+fnB2dkZ8fHxWLFihXxo\n/AuCICAvLw8aGhqc/J6Ugr6+PlJTUyGTyarlSrZv+3dcUFAAAwOD11aIFwQBtcXr0xIAACAASURB\nVGrVAvBv4djMzAy9e/fGxo0bYWhoWOF5qWr57rvvsH37dhw4cABBQUHyYnpubi5u3ryJtm3blvgd\nS0tLAwC0aNFCrMhE9BYvCp8ymQxxcXFITk5GVFSUyKmIiIg45ycRlaMXK8PLZDK4uLigdu3ab9xv\n4sSJ6NatG/7zn/9wJWhSeBoaGtDW1satW7fEjlKl1KxZEz179sSuXbuwc+dOyGQyREVFITY2FnXq\n1IFMJoOpqSlu376NFi1awMjICGPGjHnjQmqk3Pbu3Ytt27Zhz549kEgkKC4uhqamJtq1awdVVVWo\nqKgAAB4+fIiwsDDMmzcPqampIqcmoreRSqV4+vQp5s6dCyMjI7HjEBERsfhJRBXD1NRU/oH1ZRKJ\nBGFhYZgxYwbmzJmDzp07Y+/evSyCkkKrDiu+l8WLf88zZ87EypUrMW3aNFhaWmL27Nm4cuUK+vbt\nC6lUiqKiIujo6CAkJASXLl3Co0ePoK2tjaCgIJGvgCpT8+bN4e/vD0dHR+Tk5LzxvQMAGjZsCCsr\nK0gkEowcObKSUxJRWfTu3RvLli0TOwYREREAFj+JSAQqKioYPXo0EhISsGDBAnh5ecHMzAwRERGQ\nyWRixyMqs+q04vv7FBUVISYmBhkZGQD+Xe09MzMTrq6uMDExQffu3fHtt98C+PdeUFRUBODfDtqO\nHTtCIpHgzp078u1UPUyfPh3z5s3DtWvX3vh8cXExAKB79+6QSqU4f/48Dh06VJkRiegNBEF44xfY\nEomkWk4FQ0REVRPfkYhINFKpFMOHD0d8fDyWLFmC5cuXw9TUFL/88ov8gy6RImDx8/9lZWVhx44d\n8Pb2xuPHj5GdnY2CggLs3r0bd+7cwfz58wH8OyeoRCKBqqoqMjMzMXz4cOzcuRPh4eHw9vYusWgG\nVQ8LFiyAhYVFiW0viioqKiqIi4tDhw4dcOTIEWzZsgWdO3cWIyYR/U98fDxGjBjB0TtERFTlsfhJ\nRKKTSCT4+uuv8ffff2PVqlX4/vvvYWJigrCwMHZ/kULgsPf/17hxY7i4uODUqVMwNjbG0KFDoaur\ni9u3b2Px4sUYNGgQgP9fGGPPnj0YMGAA8vPzERwcjDFjxogZn0T0YmGjpKQkeefwi21LlixB165d\noaenh4MHD8LW1hb16tUTLSsRAd7e3ujZsyc7PImIqMqTCPyqjoiqGEEQcPjwYXh7e+Pu3bvw8PCA\ntbU1atSoIXY0oje6evUqhg4dygLoK6Kjo3H9+nUYGxvDzMysRLEqPz8f+/fvx+TJk2FhYYHAwED5\nCt4vVvym6mnjxo0IDg5GXFwcrl+/DltbW1y+fBne3t6ws7Mr8Xskk8lYeCESQXx8PAYPHoyUlBSo\nq6uLHYeIiOidWPwkoirt6NGj8PHxQWpqKhYsWIAJEyZATU1N7FhEJeTn56Nu3bp48uQJi/RvUVxc\nXGIhm/nz5yM4OBjDhw+Hp6cndHV1WcgiuQYNGqBdu3a4cOECOnTogJUrV6JTp05vXQwpNzcXmpqa\nlZySqPoaOnQovvjiC7i5uYkdhYiI6L34CYOIqrSePXsiJiYGYWFhiIyMhIGBAX788Uc8f/5c7GhE\ncmpqatDR0cHNmzfFjlJlvShapaenY9iwYfjhhx8wceJE/PTTT9DV1QUAFj5J7sCBAzh+/DgGDRqE\nqKgodOnS5Y2Fz9zcXPzwww/w9/fn+wJRJTl37hzOnDmDSZMmiR2FiIioVPgpg4gUQvfu3REdHY09\ne/YgOjoaenp6WLt2LfLy8sSORgSAix6Vlo6ODvT19bFt2zYsXboUALjAGb3G0tIS3333HWJiYt75\n+6GpqQltbW389ddfLMQQVZLFixdj/vz5HO5OREQKg8VPIlIonTt3xr59+7Bv3z4cO3YMrVu3xsqV\nK5Gbmyt2NKrmDA0NWfwsBVVVVaxatQojRoyQd/K9bSizIAjIycmpzHhUhaxatQrt2rXDkSNH3rnf\niBEjMGjQIISHh2Pfvn2VE46omjp79izOnTvHLxuIiEihsPhJRArJ3NwckZGR+OOPP3DmzBno6elh\n2bJlLJSQaAwMDLjgUQUYMGAABg8ejEuXLokdhUQQERGBXr16vfX5f/75B35+fvDy8sLQoUPRsWPH\nygtHVA296PqsVauW2FGIiIhKjcVPIlJo7du3x86dO3HkyBFcuXIFenp68PHxQXZ2ttjRqJrhsPfy\nJ5FIcPjwYXzxxRfo06cPHBwccPv2bbFjUSWqV68eGjVqhKdPn+Lp06clnjt37hy+/vprrFy5EgEB\nAfj111+ho6MjUlIi5XfmzBnEx8dj4sSJYkchIiIqExY/iUgpGBkZISwsDCdOnMCNGzegr68PT09P\nZGVliR2NqglDQ0N2flYANTU1zJw5E0lJSWjSpAk6dOiAefPm8QuOambXrl1YsGABioqKkJeXh7Vr\n16Jnz56QSqU4d+4cnJ2dxY5IpPQWL16MBQsWsOuTiIgUjkQQBEHsEERE5S01NRXLly9HREQEJk2a\nhO+++w6ffPKJ2LFIiRUVFUFTUxPZ2dn8YFiB7ty5g0WLFmHv3r2YN28eXF1d+fOuBjIyMtCsWTO4\nu7vj8uXL+P333+Hl5QV3d3dIpfwun6iixcXFYfjw4UhOTuY9l4iIFA7/WiQipdS6dWsEBQUhPj4e\nT548Qdu2bTFr1ixkZGSIHY2UlKqqKlq0aIHU1FSxoyi1Zs2aYfPmzfjzzz9x9OhRtG3bFqGhoZDJ\nZGJHowrUtGlThISEYNmyZbh69SpOnjyJhQsXsvBJVEnY9UlERIqMnZ9EVC3cuXMH/v7+CA0NhbW1\nNebOnQtdXd0yneP58+fYs2cP/vrrL2RnZ6NGjRpo0qQJxowZg06dOlVQclIkX3/9NRwdHTFs2DCx\no1Qbf/31F+bOnYtnz55hxYoV+OqrryCRSMSORRVk9OjRuHnzJmJjY6Gqqip2HKJq4e+//8aIESOQ\nkpICNTU1seMQERGVGb8uJ6JqoVmzZli3bh2uXLmCmjVrwtTUFC4uLkhLS3vvsXfv3sX8+fPRvHlz\nhIWFoUOHDvjmm2/w1VdfoU6dOvj222/RuXNnbN26FcXFxZVwNVRVcdGjymdlZYUTJ07Ay8sLbm5u\n+PLLL3H27FmxY1EFCQkJweXLlxEZGSl2FKJq40XXJwufRESkqNj5SUTV0oMHDxAQEICgoCB88803\nWLBgAfT09F7b79y5cxgyZAhGjBiBqVOnwsDA4LV9iouLER0djaVLl6Jp06YICwuDhoZGZVwGVTEb\nN25EfHw8goKCxI5SLRUWFiI4OBg+Pj7o2bMnfH190bp1a7FjUTm7evUqioqK0L59e7GjECm906dP\nY+TIkez6JCIihcbOTyKqlho1agQ/Pz8kJSVBR0cHXbp0wYQJE0qs1n3p0iX0798f33//PdatW/fG\nwicAqKioYNCgQThy5Ahq1aqFkSNHoqioqLIuhaoQrvgurho1asDZ2RlJSUkwMjKChYUFpk+fjgcP\nHogdjcqRkZERC59ElWTx4sVwd3dn4ZOIiBQai59EVK1pa2vDx8cHKSkp0NfXR/fu3TFu3DicP38e\nQ4YMwZo1azB8+PBSnUtNTQ3btm2DTCaDt7d3BSenqojD3qsGTU1NeHl54erVq5DJZDAyMoKvry+e\nPn0qdjSqQBzMRFS+Tp06hcuXL8PBwUHsKERERB+Fw96JiF6Sk5ODDRs2wM/PD8bGxjh58mSZz3H9\n+nVYWloiPT0d6urqFZCSqiqZTAZNTU1kZmZCU1NT7Dj0PykpKfDw8MDx48exaNEiODg4cLEcJSMI\nAqKiojBkyBCoqKiIHYdIKfTv3x/Dhg2Ds7Oz2FGIiIg+Cjs/iYheoqWlhfnz58PU1BSzZs36oHPo\n6enBwsICu3btKud0VNVJpVLo6ekhJSVF7Cj0En19fezcuRNRUVHYsWMH2rdvj6ioKHYKKhFBELB+\n/Xr4+/uLHYVIKZw8eRJXr15l1ycRESkFFj+JiF6RlJSE69evY+jQoR98DhcXF2zatKkcU5Gi4ND3\nqsvCwgKHDx/G6tWr4enpiR49eiA2NlbsWFQOpFIptm7dioCAAMTHx4sdh0jhvZjrs2bNmmJHISIi\n+mgsfhIRvSIlJQWmpqaoUaPGB5+jY8eO7P6rpgwNDVn8rMIkEgkGDhyI8+fPw8nJCWPHjsU333yD\nxMREsaPRR2revDkCAgJgbW2N58+fix2HSGGdOHECiYmJsLe3FzsKERFRuWDxk4joFbm5uahTp85H\nnaNOnTp48uRJOSUiRWJgYMAV3xWAiooKJkyYgGvXrqFbt26wsrLC5MmTkZGRIXY0+gjW1tYwNjaG\nh4eH2FGIFNbixYvh4eHBrk8iIlIaLH4SEb2iPAqXT548gZaWVjklIkXCYe+KRV1dHXPmzMG1a9eg\npaWFdu3aYeHChcjJyRE7Gn0AiUSCwMBA/PLLL/jzzz/FjkOkcGJjY5GUlAQ7OzuxoxAREZUbFj+J\niF5haGiI+Ph45Ofnf/A5Tp8+DUNDw3JMRYrC0NCQnZ8KqEGDBli5ciXi4+Nx+/ZtGBoa4vvvv0dB\nQYHY0aiMtLW1sXnzZtjZ2eHx48dixyFSKN7e3uz6JCIipcPiJxHRK/T09NCuXTtERkZ+8Dk2bNgA\nJyenckxFiqJx48Z4/vw5srOzxY5CH6B58+bYunUrDh06hOjoaBgZGeGXX36BTCYTOxqVwYABAzBw\n4EC4ubmJHYVIYcTGxiI5ORkTJkwQOwoREVG5YvGTiOgNXF1dsWHDhg869tq1a0hISMDIkSPLORUp\nAolEwqHvSsDU1BQHDhzA5s2bsXr1anTu3BkxMTFix6IyWLVqFU6cOIGIiAixoxApBM71SUREyorF\nTyKiNxgyZAju37+P4ODgMh2Xn58PZ2dnTJ06FWpqahWUjqo6Dn1XHr1798bp06cxZ84cODk5oX//\n/rhw4YLYsagUateujdDQULi6unIhK6L3OH78OFJSUtj1SURESonFTyKiN1BVVcX+/fvh4eGB8PDw\nUh3z7NkzjBkzBvXq1YO7u3sFJ6SqjJ2fykUqlWL06NG4evUqBg8ejH79+sHW1hZpaWliR6P3sLS0\nxKRJk+Do6AhBEMSOQ1RlLV68GAsXLkSNGjXEjkJERFTuWPwkInoLQ0NDxMTEwMPDAxMnTnxrt1dB\nQQF27tyJbt26QUNDA7/88gtUVFQqOS1VJSx+KqeaNWti6tSpSEpKQsuWLWFubo7Zs2fj0aNHYkej\nd/Dy8kJmZiaCgoLEjkJUJf31119ITU2Fra2t2FGIiIgqhETg1+BERO/04MEDBAYG4qeffkLLli0x\nZMgQaGtro6CgADdu3EBoaCjatm2LKVOmYMSIEZBK+b1SdXfq1ClMmzYNcXFxYkehCpSRkQFvb29E\nRERg9uzZcHNzg7q6utix6A2uXr0KKysrnDx5EgYGBmLHIapSvvjiC4wfPx4ODg5iRyEiIqoQLH4S\nEZVSUVER9u7di+PHjyMjIwMHDx7EtGnTMHr0aBgbG4sdj6qQrKws6Onp4Z9//oFEIhE7DlWwa9eu\nwd3dHXFxcfD29oatrS27v6ug77//Hjt27MBff/0FVVVVseMQVQnHjh2Dvb09EhMTOeSdiIiUFouf\nREREFaBBgwa4du0aGjVqJHYUqiQnT57E3LlzkZ2djeXLl2PgwIEsflchMpkMX331FXr37g0PDw+x\n4xBVCX369IGNjQ3s7e3FjkJERFRhODaTiIioAnDF9+qna9euOHbsGHx9fTFnzhz5SvFUNUilUmzd\nuhXr1q3D2bNnxY5DJLqjR48iPT0dNjY2YkchIiKqUCx+EhERVQAuelQ9SSQSDBkyBAkJCbC2tsaI\nESPw7bff8nehitDV1cXatWthY2ODZ8+eiR2HSFQvVnjnNBBERKTsWPwkIiKqACx+Vm+qqqqYOHEi\nkpKSYG5ujq5du8LV1RX3798XO1q1N3bsWLRv3x4LFiwQOwqRaI4cOYJbt27B2tpa7ChEREQVjsVP\nIiKiCsBh7wQAGhoaWLBgARITE1GzZk0YGxvD29sbubm5pT7H3bt34ePjg/79+8PS0hKff/45Ro8e\njaioKBQVFVVgeuUkkUiwceNG7NmzBzExMWLHIRLF4sWL4enpya5PIiKqFlj8JCISgbe3N0xNTcWO\nQRWInZ/0soYNG2LNmjU4c+YMkpKSYGBggA0bNqCwsPCtx1y4cAGjRo2CiYkJMjIyMG3aNKxZswZL\nlixBv3794O/vj1atWsHX1xfPnz+vxKtRfA0aNEBwcDDs7e2RnZ0tdhyiSvXnn3/izp07GD9+vNhR\niIiIKgVXeyeiasfe3h5ZWVnYu3evaBny8vKQn5+P+vXri5aBKlZOTg50dHTw5MkTrvhNrzl37hzm\nzZuHtLQ0LFu2DCNGjCjxe7J37144Ojpi4cKFsLe3h5aW1hvPEx8fj0WLFiE7Oxu//fYb7yllNHXq\nVGRnZyMsLEzsKESVQhAE9OrVC46OjrC1tRU7DhERUaVg5ycRkQg0NDRYpFByWlpa0NTUxN27d8WO\nQlWQubk5/vjjD/z444/w9fWVrxQPADExMZg0aRIOHDiA6dOnv7XwCQBmZmaIiorCZ599hsGDB3MR\nnzLy9/dHXFwcdu3aJXYUokrx559/IiMjA+PGjRM7ChERUaVh8ZOI6CVSqRSRkZEltrVq1QoBAQHy\nx8nJyejZsyfU1dVhYmKCgwcPok6dOti+fbt8n0uXLqFv377Q0NCAtrY27O3tkZOTI3/e29sb7du3\nr/gLIlFx6Du9T9++fXH27FlMmzYNEyZMQP/+/TFq1Cjs2rULFhYWpTqHVCrF2rVroaurC09PzwpO\nrFw0NDQQGhqKadOm8YsKUnqCIHCuTyIiqpZY/CQiKgNBEDBs2DDUrFkTf//9N0JCQrBo0SIUFBTI\n98nLy0O/fv2gpaWFM2fOICoqCidOnICjo2OJc3EotPLjokdUGlKpFOPHj0diYiJq166NLl26oGfP\nnmU+h7+/P7Zs2YKnT59WUFLl1LlzZ7i4uMDBwQGcDYqU2eHDh3Hv3j2MHTtW7ChERESVisVPIqIy\nOHToEJKTkxEaGor27dujS5cuWLNmTYlFS8LDw5GXl4fQ0FAYGxvDysoKQUFBiIiIQGpqqojpqbKx\n85PKombNmkhMTMScOXM+6PgWLVqgR48e2LFjRzknU34eHh7IysrCxo0bxY5CVCFedH16eXmx65OI\niKodFj+JiMrg2rVr0NHRQZMmTeTbLCwsIJX+/+00MTERpqam0NDQkG/r1q0bpFIprly5Uql5SVws\nflJZnDlzBkVFRejVq9cHn2Py5MnYsmVL+YWqJmrUqIGwsDB4eXmxW5uUUkxMDDIzMzFmzBixoxAR\nEVU6Fj+JiF4ikUheG/b4cldneZyfqg8Oe6eySE9Ph4mJyUfdJ0xMTJCenl6OqaqPNm3aYPHixbCx\nsUFRUZHYcYjKDbs+iYioumPxk4joJY0aNUJGRob88f3790s8btu2Le7evYt79+7Jt8XFxUEmk8kf\nGxkZ4eLFiyXm3YuNjYUgCDAyMqrgK6CqRE9PDzdu3EBxcbHYUej/2Lv3uJzv/4/jj+uK0gEhRg4p\nk5wp5DTnwzCMORbNqSFzFjmug9PMIcwpQ3OmOc15RFjOipwaU8Iw5hBRqa7P7499Xb81tlWqz5Ve\n99vtut22z/V5vz/PT6Wr63W9DznAixcvUo0Yzwhzc3NevnyZSYlyHw8PDywtLZk+fbraUYTINAcP\nHuSPP/6QUZ9CCCFyLSl+CiFypWfPnnHhwoVUj5iYGJo1a8aiRYs4d+4c4eHh9O3bF1NTU327li1b\nYm9vj5ubGxEREZw8eZLRo0eTN29e/WgtV1dXzMzMcHNz49KlSxw9epRBgwbx2WefYWdnp9YtCxWY\nmZlhZWXF7du31Y4icgBLS0tiY2PfqY/Y2FgKFiyYSYlyH61Wy8qVK/n22285c+aM2nGEeGd/HfVp\nZGSkdhwhhBBCFVL8FELkSseOHcPR0THVw9PTk7lz52Jra0vTpk3p1q0b7u7uFCtWTN9Oo9Gwfft2\nXr16hbOzM3379mXixIkA5MuXDwBTU1P279/Ps2fPcHZ2plOnTjRo0IAVK1aocq9CXTL1XaRV1apV\nOXnyJPHx8Rnu4/Dhw1SvXj0TU+U+JUuWZOHChfTu3VtG0Yoc7+DBgzx+/Jju3burHUUIIYRQjUb5\n++J2Qggh0uXChQvUrFmTc+fOUbNmzTS1mTBhAiEhIRw/fjyL0wm1DRo0iKpVqzJkyBC1o4gcoE2b\nNvTs2RM3N7d0t1UUBUdHR77++mtatWqVBelyFxcXF4oUKcLChQvVjiJEhiiKQoMGDRg6dCg9e/ZU\nO44QQgihGhn5KYQQ6bR9+3YOHDjAzZs3OXz4MH379qVmzZppLnzeuHGD4OBgqlSpksVJhSGQHd9F\nenh4eLBo0aI3Nl5Li5MnTxITEyPT3jPJokWL2LFjBwcOHFA7ihAZcuDAAZ4+fUq3bt3UjiKEEEKo\nSoqfQgiRTs+fP+fLL7+kcuXK9O7dm8qVK7Nv3740tY2NjaVy5crky5ePyZMnZ3FSYQhk2rtIj7Zt\n2/Lq1Su++eabdLV78uQJ/fv359NPP6VTp0706dMn1WZtIv0KFSrEypUr6devH48fP1Y7jhDpoigK\nX331laz1KYQQQiDT3oUQQogsFRkZSfv27WX0p0izO3fu6Keqjh49Wr+Z2j/5/fff+eSTT/joo4+Y\nO3cuz549Y/r06Xz33XeMHj2akSNH6tckFuk3bNgwHj58yIYNG9SOIkSa7d+/n5EjR3Lx4kUpfgoh\nhMj1ZOSnEEIIkYXs7Oy4ffs2SUlJakcROUSpUqVYvHgxvr6+tGnThr1796LT6d447+HDh8ycORMn\nJyfatWvHnDlzAChQoAAzZ87k1KlTnD59mkqVKrF169YMTaUXMHPmTM6fPy/FT5FjvB71+dVXX0nh\nUwghhEBGfgohhBBZrly5cuzduxd7e3u1o4gc4NmzZzg5OTFlyhSSk5NZtGgRT548oW3bthQuXJjE\nxESioqI4cOAAnTt3xsPDAycnp3/sLzg4mBEjRmBlZYW/v7/sBp8BZ8+epW3btoSFhVGqVCm14wjx\nr/bt28fo0aOJiIiQ4qcQQgiBFD+FEEKILPfxxx8zdOhQ2rVrp3YUYeAURaFnz55YWlqydOlS/fHT\np09z/Phxnj59iomJCcWLF6djx44ULlw4Tf0mJyezfPlyvL296dSpE35+fhQtWjSrbuO95Ofnx7Fj\nx9i3bx9arUyeEoZJURTq1q3L6NGjZaMjIYQQ4n+k+CmEEEJksWHDhmFra8vIkSPVjiKEyKDk5GQa\nNmyIq6srQ4cOVTuOEG+1d+9ePD09iYiIkCK9EEII8T/yiiiEEFkkISGBuXPnqh1DGIDy5cvLhkdC\n5HB58uRh9erV+Pj4EBkZqXYcId7w17U+pfAphBBC/D95VRRCiEzy94H0SUlJjBkzhufPn6uUSBgK\nKX4K8X6wt7fHz8+P3r17yyZmwuDs3buX+Ph4PvvsM7WjCCGEEAZFip9CCJFBW7du5ZdffiE2NhYA\njUYDQEpKCikpKZiZmWFiYsLTp0/VjCkMgL29PdeuXVM7hhAiEwwaNAgrKyumTp2qdhQh9GTUpxBC\nCPHPZM1PIYTIoIoVK3Lr1i1atGjBxx9/TJUqVahSpQqFChXSn1OoUCEOHz5MjRo1VEwq1JacnIyF\nhQVPnz4lX758ascRIk2Sk5PJkyeP2jEM0t27d6lZsyY//vgjzs7OascRgt27d+Pl5cWFCxek+CmE\nEEL8jbwyCiFEBh09epSFCxfy8uVLvL29cXNzo3v37kyYMIHdu3cDULhwYR48eKByUqG2PHnyULZs\nWW7cuKF2FGFAYmJi0Gq1hIWFGeS1a9asSXBwcDamyjmsra359ttv6d27Ny9evFA7jsjlFEXB29tb\nRn0KIYQQ/0BeHYUQIoOKFi1Kv379OHDgAOfPn2fs2LFYWlqyc+dO3N3dadiwIdHR0cTHx6sdVRgA\nmfqeO/Xt2xetVouRkRHGxsaUK1cOT09PXr58SZkyZbh//75+ZPiRI0fQarU8fvw4UzM0bdqUYcOG\npTr292u/jY+PD+7u7nTq1EkK92/RtWtXnJ2dGTt2rNpRRC63e/duEhMT6dy5s9pRhBBCCIMkxU8h\nhHhHycnJlChRgsGDB7N582Z27NjBzJkzcXJyomTJkiQnJ6sdURgA2fQo92rZsiX3798nOjqaadOm\nsXjxYsaOHYtGo6FYsWL6kVqKoqDRaN7YPC0r/P3ab9O5c2euXLlCnTp1cHZ2Zty4cTx79izLs+Uk\nCxcuZOfOnezbt0/tKCKXklGfQgghxH+TV0ghhHhHf10T79WrV9jZ2eHm5sb8+fM5dOgQTZs2VTGd\nMBRS/My9TExMKFq0KCVLlqRHjx706tWL7du3p5p6HhMTQ7NmzYA/R5UbGRnRr18/fR+zZs3iww8/\nxMzMjOrVq7Nu3bpU1/D19aVs2bLky5ePEiVK0KdPH+DPkadHjhxh0aJF+hGot27dSvOU+3z58jF+\n/HgiIiL4/fffcXBwYOXKleh0usz9IuVQlpaWBAYGMmDAAB49eqR2HJEL7dq1i6SkJDp16qR2FCGE\nEMJgySr2Qgjxju7cucPJkyc5d+4ct2/f5uXLl+TNm5d69erxxRdfYGZmph/RJXIve3t7NmzYoHYM\nYQBMTExITExMdaxMmTJs2bKFLl26cPXqVQoVKoSpqSkAEydOZOvWrSxZsgR7e3tOnDiBu7s7hQsX\npk2bNmzZsoU5c+awadMmqlSpwoMHDzh58iQA8+fP59q1a1SsWJEZM2agKApFixbl1q1b6fqdZG1t\nTWBgIGfOnGH48OEsXrwYf39/GjZsmHlfmByqWbNmdO3alcGDB7Np0yb5YXw1EgAAIABJREFUXS+y\njYz6FEIIIdJGip9CCPEOfv75Z0aOHMnNmzcpVaoUxYsXx8LCgpcvX7Jw4UL27dvH/PnzqVChgtpR\nhcpk5KcAOH36NOvXr6dVq1apjms0GgoXLgz8OfLz9X+/fPmSefPmceDAARo0aACAjY0Np06dYtGi\nRbRp04Zbt25hbW1Ny5YtMTIyolSpUjg6OgJQoEABjI2NMTMzo2jRoqmumZHp9bVr1yY0NJQNGzbQ\ns2dPGjZsyNdff02ZMmXS3df7ZPr06Tg5ObF+/XpcXV3VjiNyiZ07d5KSksKnn36qdhQhhBDCoMlH\nhEIIkUG//vornp6eFC5cmKNHjxIeHs7evXsJCgpi27ZtLFu2jOTkZObPn692VGEASpYsydOnT4mL\ni1M7ishme/fuJX/+/JiamtKgQQOaNm3KggUL0tT2ypUrJCQk8PHHH5M/f379Y+nSpURFRQF/brwT\nHx9P2bJlGTBgAD/88AOvXr3KsvvRaDS4uLgQGRmJvb09NWvW5KuvvsrVu56bmpqydu1aRo4cye3b\nt9WOI3IBGfUphBBCpJ28UgohRAZFRUXx8OFDtmzZQsWKFdHpdKSkpJCSkkKePHlo0aIFPXr0IDQ0\nVO2owgBotVpevHiBubm52lFENmvcuDERERFcu3aNhIQEgoKCsLKySlPb12tr7tq1iwsXLugfly9f\nZv/+/QCUKlWKa9euERAQQMGCBRkzZgxOTk7Ex8dn2T0BmJub4+PjQ3h4uH5q/fr167NlwyZD5Ojo\nyPDhw+nTp4+siSqy3I8//oiiKDLqUwghhEgDKX4KIUQGFSxYkOfPn/P8+XMA/WYiRkZG+nNCQ0Mp\nUaKEWhGFgdFoNLIeYC5kZmaGra0tpUuXTvX74e+MjY0BSElJ0R+rVKkSJiYm3Lx5Ezs7u1SP0qVL\np2rbpk0b5syZw+nTp7l8+bL+gxdjY+NUfWa2MmXKsGHDBtavX8+cOXNo2LAhZ86cybLrGbJx48YR\nHx/PwoUL1Y4i3mN/HfUprylCCCHEf5M1P4UQIoPs7OyoWLEiAwYMYNKkSeTNmxedTsezZ8+4efMm\nW7duJTw8nG3btqkdVQiRA9jY2KDRaNi9ezeffPIJpqamWFhYMGbMGMaMGYNOp6NRo0bExcVx8uRJ\njIyMGDBgAN9//z3Jyck4OztjYWHBxo0bMTY2pnz58gCULVuW06dPExMTg4WFBUWKFMmS/K+LnoGB\ngXTs2JFWrVoxY8aMXPUBUJ48eVi9ejV169alZcuWVKpUSe1I4j20Y8cOADp27KhyEiGEECJnkJGf\nQgiRQUWLFmXJkiXcvXuXDh064OHhwfDhwxk/fjzLli1Dq9WycuVK6tatq3ZUIYSB+uuoLWtra3x8\nfJg4cSLFixdn6NChAPj5+eHt7c2cOXOoUqUKrVq1YuvWrdja2gJgaWnJihUraNSoEVWrVmXbtm1s\n27YNGxsbAMaMGYOxsTGVKlWiWLFi3Lp1641rZxatVku/fv2IjIykePHiVK1alRkzZpCQkJDp1zJU\nH374IdOnT6d3795ZuvaqyJ0URcHHxwdvb28Z9SmEEEKkkUbJrQszCSFEJvr555+5ePEiiYmJFCxY\nkDJlylC1alWKFSumdjQhhFDNjRs3GDNmDBcuXGD27Nl06tQpVxRsFEWhffv21KhRg6lTp6odR7xH\ntm3bhp+fH+fOncsV/5aEEEKIzCDFTyGEeEeKosgbEJEpEhIS0Ol0mJmZqR1FiEwVHBzMiBEjsLKy\nwt/fn+rVq6sdKcvdv3+fGjVqsG3bNurVq6d2HPEe0Ol0ODo64uvrS4cOHdSOI4QQQuQYsuanEEK8\no9eFz79/liQFUZFeK1eu5OHDh0yaNOlfN8YRIqdp3rw54eHhBAQE0KpVKzp16oSfnx9FixZVO1qW\nKV68OIsXL8bNzY3w8HAsLCzUjiRyiKioKK5evcqzZ88wNzfHzs6OKlWqsH37doyMjGjfvr3aEYUB\ne/nyJSdPnuTRo0cAFClShHr16mFqaqpyMiGEUI+M/BRCCCGyyYoVK2jYsCHly5fXF8v/WuTctWsX\n48ePZ+vWrfrNaoR43zx58gQfHx/WrVvHhAkTGDJkiH6n+/fR559/jqmpKUuXLlU7ijBgycnJ7N69\nm8WLFxMeHk6tWrXInz8/L1684OLFixQvXpy7d+8yb948unTponZcYYCuX7/O0qVL+f7773FwcKB4\n8eIoisK9e/e4fv06ffv2ZeDAgZQrV07tqEIIke1kwyMhhBAim3h5eXH48GG0Wi1GRkb6wuezZ8+4\ndOkS0dHRXL58mfPnz6ucVIisU6hQIfz9/Tl69Cj79++natWq7NmzR+1YWWbBggXs27fvvb5H8W6i\no6OpUaMGM2fOpHfv3ty+fZs9e/awadMmdu3aRVRUFJMnT6ZcuXIMHz6cM2fOqB1ZGBCdToenpycN\nGzbE2NiYs2fP8vPPP/PDDz+wZcsWjh8/zsmTJwGoW7cuEyZMQKfTqZxaCCGyl4z8FEIIIbJJx44d\niYuLo0mTJkRERHD9+nXu3r1LXFwcRkZGfPDBB5ibmzN9+nTatWundlwhspyiKOzZs4dRo0ZhZ2fH\n3LlzqVixYprbJyUlkTdv3ixMmDlCQkJwcXEhIiICKysrteMIA/Lrr7/SuHFjvLy8GDp06H+e/+OP\nP9K/f3+2bNlCo0aNsiGhMGQ6nY6+ffsSHR3N9u3bKVy48L+e/8cff9ChQwcqVarE8uXLZYkmIUSu\nISM/hRDiHSmKwp07d95Y81OIv6tfvz6HDx/mxx9/JDExkUaNGuHl5cX333/Prl272LFjB9u3b6dx\n48ZqRxUZ8OrVK5ydnZkzZ47aUXIMjUZDu3btuHjxIq1ataJRo0aMGDGCJ0+e/Gfb14XTgQMHsm7d\numxIm3FNmjTBxcWFgQMHymuF0IuNjaVNmzZ89dVXaSp8AnTo0IENGzbQtWtXbty4kcUJDUNcXBwj\nRoygbNmymJmZ0bBhQ86ePat//sWLFwwdOpTSpUtjZmaGg4MD/v7+KibOPr6+vly/fp39+/f/Z+ET\nwMrKigMHDnDhwgVmzJiRDQmFEMIwyMhPIYTIBBYWFty7d4/8+fOrHUUYsE2bNuHh4cHJkycpXLgw\nJiYmmJmZodXKZ5HvgzFjxvDLL7/w448/ymiaDHr48CGTJ09m27ZtnDt3jpIlS/7j1zIpKYmgoCBO\nnTrFypUrcXJyIigoyGA3UUpISKB27dp4enri5uamdhxhAObNm8epU6fYuHFjuttOmTKFhw8fsmTJ\nkixIZli6d+/OpUuXWLp0KSVLlmTNmjXMmzePq1evUqJECb744gsOHTrEypUrKVu2LEePHmXAgAGs\nWLECV1dXteNnmSdPnmBnZ8eVK1coUaJEutrevn2b6tWrc/PmTQoUKJBFCYUQwnBI8VMIITJB6dKl\nCQ0NpUyZMmpHEQbs0qVLtGrVimvXrr2x87NOp0Oj0UjRLIfatWsXQ4YMISwsjCJFiqgdJ8f75Zdf\nsLe3T9O/B51OR9WqVbG1tWXhwoXY2tpmQ8KMOX/+PC1btuTs2bPY2NioHUeoSKfT4eDgQGBgIPXr\n1093+7t371K5cmViYmLe6+JVQkIC+fPnZ9u2bXzyySf647Vq1aJt27b4+vpStWpVunTpwldffaV/\nvkmTJlSrVo0FCxaoETtbzJs3j7CwMNasWZOh9l27dqVp06Z4eHhkcjIhhDA8MtRECCEyQaFChdI0\nTVPkbhUrVmTixInodDri4uIICgri4sWLKIqCVquVwmcOdfv2bfr378+GDRuk8JlJKlSo8J/nvHr1\nCoDAwEDu3bvHl19+qS98GupmHjVq1GD06NH06dPHYDOK7BEcHIyZmRn16tXLUHtra2tatmzJ6tWr\nMzmZYUlOTiYlJQUTE5NUx01NTfn5558BaNiwITt37uTOnTsAHD9+nAsXLtCmTZtsz5tdFEVhyZIl\n71S49PDwYPHixbIUhxAiV5DipxBCZAIpfoq0MDIyYsiQIRQoUICEhASmTZvGRx99xODBg4mIiNCf\nJ0WRnCMpKYkePXowatSoDI3eEv/s3z4M0Ol0GBsbk5yczMSJE+nVqxfOzs765xMSErh06RIrVqxg\n+/bt2RE3zTw9PUlKSso1axKKtwsNDaV9+/bv9KFX+/btCQ0NzcRUhsfCwoJ69eoxdepU7t69i06n\nY+3atZw4cYJ79+4BsGDBAqpVq0aZMmUwNjamadOmfP311+918fPBgwc8fvyYunXrZriPJk2aEBMT\nQ2xsbCYmE0IIwyTFTyGEyARS/BRp9bqwaW5uztOnT/n666+pXLkyXbp0YcyYMRw/flzWAM1BJk+e\nTMGCBfH09FQ7Sq7y+t+Rl5cXZmZmuLq6UqhQIf3zQ4cOpXXr1ixcuJAhQ4ZQp04doqKi1IqbipGR\nEatXr2bGjBlcunRJ7ThCJU+ePEnTBjX/pnDhwjx9+jSTEhmutWvXotVqKVWqFPny5ePbb7/FxcVF\n/1q5YMECTpw4wa5duwgLC2PevHmMHj2an376SeXkWef1z8+7FM81Gg2FCxeWv1+FELmCvLsSQohM\nIMVPkVYajQadToeJiQmlS5fm4cOHDB06lOPHj2NkZMTixYuZOnUqkZGRakcV/2Hfvn2sW7eO77//\nXgrW2Uin05EnTx6io6NZunQpgwYNomrVqsCfU0F9fHwICgpixowZHDx4kMuXL2NqapqhTWWyip2d\nHTNmzKBXr1766fsidzE2Nn7n7/2rV684fvy4fr3onPz4t6+Fra0thw8f5sWLF9y+fZuTJ0/y6tUr\n7OzsSEhIYMKECXzzzTe0bduWKlWq4OHhQY8ePZg9e/Ybfel0OhYtWqT6/b7ro2LFijx+/Pidfn5e\n/wz9fUkBIYR4H8lf6kIIkQkKFSqUKX+EivefRqNBq9Wi1WpxcnLi8uXLwJ9vQPr370+xYsWYMmUK\nvr6+KicV/+a3336jb9++rFu3zmB3F38fRUREcP36dQCGDx9O9erV6dChA2ZmZgCcOHGCGTNm8PXX\nX+Pm5oaVlRWWlpY0btyYwMBAUlJS1IyfSv/+/SlTpgze3t5qRxEqKF68ONHR0e/UR3R0NN27d0dR\nlBz/MDY2/s/7NTU15YMPPuDJkyfs37+fTz/9lKSkJJKSkt74AMrIyOitS8hotVqGDBmi+v2+6+PZ\ns2ckJCTw4sWLDP/8xMbGEhsb+84jkIUQIifIo3YAIYR4H8i0IZFWz58/JygoiHv37nHs2DF++eUX\nHBwceP78OQDFihWjefPmFC9eXOWk4p8kJyfj4uLCkCFDaNSokdpxco3Xa/3Nnj2b7t27ExISwvLl\nyylfvrz+nFmzZlGjRg0GDx6cqu3NmzcpW7YsRkZGAMTFxbF7925Kly6t2lqtGo2G5cuXU6NGDdq1\na0eDBg1UySHU0aVLFxwdHZkzZw7m5ubpbq8oCitWrODbb7/NgnSG5aeffkKn0+Hg4MD169cZO3Ys\nlSpVok+fPhgZGdG4cWO8vLwwNzfHxsaGkJAQVq9e/daRn++L/Pnz07x5czZs2MCAAQMy1MeaNWv4\n5JNPyJcvXyanE0IIwyPFTyGEyASFChXi7t27ascQOUBsbCwTJkygfPnymJiYoNPp+OKLLyhQoADF\nixfHysqKggULYmVlpXZU8Q98fHwwNjZm/PjxakfJVbRaLbNmzaJOnTpMnjyZuLi4VL93o6Oj2blz\nJzt37gQgJSUFIyMjLl++zJ07d3ByctIfCw8PZ9++fZw6dYqCBQsSGBiYph3mM9sHH3zAkiVLcHNz\n4/z58+TPnz/bM4jsFxMTw7x58/QF/YEDB6a7j6NHj6LT6WjSpEnmBzQwsbGxjB8/nt9++43ChQvT\npUsXpk6dqv8wY9OmTYwfP55evXrx+PFjbGxsmDZt2jvthJ4TeHh44OXlRf/+/dO99qeiKCxevJjF\nixdnUTohhDAsGkVRFLVDCCFETrd+/Xp27tzJhg0b1I4icoDQ0FCKFCnC77//TosWLXj+/LmMvMgh\nDh48yOeff05YWBgffPCB2nFytenTp+Pj48OoUaOYMWMGS5cuZcGCBRw4cICSJUvqz/P19WX79u34\n+fnRrl07/fFr165x7tw5XF1dmTFjBuPGjVPjNgDo168fRkZGLF++XLUMIutduHCBb775hr179zJg\nwABq1qzJV199xenTpylYsGCa+0lOTqZ169Z8+umnDB06NAsTC0Om0+moUKEC33zzDZ9++mm62m7a\ntAlfX18uXbr0TpsmCSFETiFrfgohRCaQDY9EejRo0AAHBwc++ugjLl++/NbC59vWKhPqunfvHm5u\nbqxZs0YKnwZgwoQJ/PHHH7Rp0waAkiVLcu/ePeLj4/Xn7Nq1i4MHD+Lo6KgvfL5e99Pe3p7jx49j\nZ2en+ggxf39/Dh48qB+1Kt4fiqJw6NAhPv74Y9q2bUv16tWJiori66+/pnv37rRo0YLPPvuMly9f\npqm/lJQUBg0aRN68eRk0aFAWpxeGTKvVsnbtWtzd3Tl+/Hia2x05coQvv/ySNWvWSOFTCJFrSPFT\nCCEygRQ/RXq8LmxqtVrs7e25du0a+/fvZ9u2bWzYsIEbN27I7uEGJiUlBVdXV7744guaNWumdhzx\nP/nz59evu+rg4ICtrS3bt2/nzp07hISEMHToUKysrBgxYgTw/1PhAU6dOkVAQADe3t6qTzcvUKAA\n33//PQMHDuThw4eqZhGZIyUlhaCgIOrUqcOQIUPo1q0bUVFReHp66kd5ajQa5s+fT8mSJWnSpAkR\nERH/2md0dDSdO3cmKiqKoKAg8ubNmx23IgyYs7Mza9eupWPHjnz33XckJib+47kJCQksXbqUrl27\nsnHjRhwdHbMxqRBCqEumvQshRCb45ZdfaN++PdeuXVM7isghEhISWLJkCYsWLeLOnTu8evUKgAoV\nKmBlZcVnn32mL9gI9fn6+nL48GEOHjyoL54Jw7Njxw4GDhyIqakpSUlJ1K5dm5kzZ76xnmdiYiKd\nOnXi2bNn/PzzzyqlfdPYsWO5fv06W7dulRFZOVR8fDyBgYHMnj2bEiVKMHbsWD755JN//UBLURT8\n/f2ZPXs2tra2eHh40LBhQwoWLEhcXBznz59nyZIlnDhxAnd3d3x9fdO0O7rIPcLDw/H09OTSpUv0\n79+fnj17UqJECRRF4d69e6xZs4Zly5ZRp04d5syZQ7Vq1dSOLIQQ2UqKn0IIkQkePHhA5cqVZcSO\nSLNvv/2WWbNm0a5dO8qXL09ISAjx8fEMHz6c27dvs3btWlxdXVWfjisgJCSEnj17cu7cOaytrdWO\nI9Lg4MGD2NvbU7p0aX0RUVEU/X8HBQXRo0cPQkNDqVu3rppRU0lMTKR27dqMGjWKPn36qB1HpMOj\nR49YvHgx3377LfXq1cPT05MGDRqkq4+kpCR27tzJ0qVLuXr1KrGxsVhYWGBra0v//v3p0aMHZmZm\nWXQH4n0QGRnJ0qVL2bVrF48fPwagSJEitG/fnmPHjuHp6Um3bt1UTimEENlPip9CCJEJkpKSMDMz\n49WrVzJaR/ynGzdu0KNHDzp27MiYMWPIly8fCQkJ+Pv7ExwczIEDB1i8eDELFy7k6tWrasfN1R48\neICjoyMrV66kVatWascR6aTT6dBqtSQmJpKQkEDBggV59OgRH330EXXq1CEwMFDtiG+IiIigefPm\nnDlzhrJly6odR/yHmzdvMm/ePNasWUPnzp0ZPXo0FStWVDuWEG/Ytm0b33zzTbrWBxVCiPeFFD+F\nECKTWFhYcO/ePdXXjhOGLyYmhho1anD79m0sLCz0xw8ePEi/fv24desWv/zyC7Vr1+bZs2cqJs3d\ndDodbdq0oVatWkybNk3tOOIdHDlyhIkTJ9K+fXuSkpKYPXs2ly5dolSpUmpHe6tvvvmGnTt3cvjw\nYVlmQQghhBDiHcluCkIIkUlk0yORVjY2NuTJk4fQ0NBUx4OCgqhfvz7JycnExsZiaWnJo0ePVEop\nZs6cSXx8PD4+PmpHEe+ocePGfP7558ycOZMpU6bQtm1bgy18AowaNQqAuXPnqpxECCGEECLnk5Gf\nQgiRSapVq8bq1aupUaOG2lFEDjB9+nQCAgKoW7cudnZ2hIeHExISwvbt22ndujUxMTHExMTg7OyM\niYmJ2nFznWPHjtG1a1fOnj1r0EUykX6+vr54e3vTpk0bAgMDKVq0qNqR3io6Opo6deoQHBwsm5MI\nIYQQQrwDI29vb2+1QwghRE726tUrdu3axZ49e3j48CF3797l1atXlCpVStb/FP+ofv365MuXj+jo\naK5evUrhwoVZvHgxTZs2BcDS0lI/QlRkrz/++INWrVrx3Xff4eTkpHYckckaN25Mnz59uHv3LnZ2\ndhQrVizV84qikJiYyPPnzzE1NVUp5Z+zCYoWLcrYsWPp16+f/C4QQgghhMggGfkphBAZdOvWLZYt\nW8aKFStwcHDA3t6eAgUK8Pz5cw4fPky+fPnw8PCgV69eqdZ1FOKvYmNjSUpKwsrKSu0ogj/X+Wzf\nvj2VK1dm1qxZascRKlAUhaVLl+Lt7Y23tzfu7u6qFR4VRaFTp05UqFCBr7/+WpUMOZmiKBn6EPLR\no0csWrSIKVOmZEGqf/b9998zdOjQbF3r+ciRIzRr1oyHDx9SuHDhbLuuSJuYmBhsbW05e/Ysjo6O\nascRQogcS9b8FEKIDNi4cSOOjo7ExcVx+PBhQkJCCAgIYPbs2SxbtozIyEjmzp3L/v37qVKlCleu\nXFE7sjBQBQsWlMKnAZkzZw5PnjyRDY5yMY1Gw+DBg/npp5/YvHkzNWvWJDg4WLUsAQEBrF69mmPH\njqmSIad68eJFugufN2/eZPjw4ZQvX55bt27943lNmzZl2LBhbxz//vvv32nTwx49ehAVFZXh9hnR\noEED7t27J4VPFfTt25cOHTq8cfzcuXNotVpu3bpFmTJluH//viypJIQQ70iKn0IIkU6rVq1i7Nix\nHDp0iPnz51OxYsU3ztFqtbRo0YJt27bh5+dH06ZNuXz5sgpphRBpdeLECWbPns3GjRvJmzev2nGE\nyqpXr86hQ4fw8fHB3d2dTp06cePGjWzPUaxYMQICAnBzc8vWEYE51Y0bN+jatSvlypUjPDw8TW3O\nnz+Pq6srTk5OmJqacunSJb777rsMXf+fCq5JSUn/2dbExCTbPwzLkyfPG0s/CPW9/jnSaDQUK1YM\nrfaf37YnJydnVywhhMixpPgphBDpEBoaipeXFwcOHEjzBhS9e/dm7ty5tGvXjtjY2CxOKITIiMeP\nH9OzZ0+WL19OmTJl1I4jDIRGo6Fz585cuXKFOnXq4OzsjJeXF8+fP8/WHO3bt6dFixaMHDkyW6+b\nk1y6dInmzZtTsWJFEhMT2b9/PzVr1vzXNjqdjtatW9OuXTtq1KhBVFQUM2fOxNra+p3z9O3bl/bt\n2zNr1ixKly5N6dKl+f7779FqtRgZGaHVavWPfv36ARAYGPjGyNE9e/ZQt25dzMzMsLKyomPHjrx6\n9Qr4s6A6btw4Spcujbm5Oc7Ozvz000/6tkeOHEGr1XLo0CHq1q2Lubk5tWvXTlUUfn3O48eP3/me\nReaLiYlBq9USFhYG/P/3a+/evTg7O5MvXz5++ukn7ty5Q8eOHSlSpAjm5uZUqlSJzZs36/u5dOkS\nLVu2xMzMjCJFitC3b1/9hykHDhzAxMSEJ0+epLr2hAkT9CNOHz9+jIuLC6VLl8bMzIwqVaoQGBiY\nPV8EIYTIBFL8FEKIdJgxYwbTp0+nQoUK6Wrn6uqKs7Mzq1evzqJkQoiMUhSFvn370rlz57dOQRQi\nX758jB8/noiICO7fv0+FChVYtWoVOp0u2zLMnTuXkJAQduzYkW3XzClu3bqFm5sbly5d4tatW/z4\n449Ur179P9tpNBqmTZtGVFQUnp6eFCxYMFNzHTlyhIsXL7J//36Cg4Pp0aMH9+/f5969e9y/f5/9\n+/djYmJCkyZN9Hn+OnJ03759dOzYkdatWxMWFsbRo0dp2rSp/ueuT58+HDt2jI0bN3L58mU+//xz\nOnTowMWLF1PlmDBhArNmzSI8PJwiRYrQq1evN74OwnD8fUuOt31/vLy8mDZtGpGRkdSpUwcPDw8S\nEhI4cuQIV65cwd/fH0tLSwBevnxJ69atKVCgAGfPnmX79u0cP36c/v37A9C8eXOKFi1KUFBQqmts\n2LCB3r17A5CQkICTkxN79uzhypUrjBgxgkGDBnH48OGs+BIIIUTmU4QQQqRJVFSUUqRIEeXFixcZ\nan/kyBHFwcFB0el0mZxM5GQJCQlKXFyc2jFytXnz5im1a9dWEhMT1Y4icohTp04p9erVU5ycnJSf\nf/452677888/K8WLF1fu37+fbdc0VH//GkycOFFp3ry5cuXKFSU0NFRxd3dXvL29lR9++CHTr92k\nSRNl6NChbxwPDAxU8ufPryiKovTp00cpVqyYkpSU9NY+fv/9d6Vs2bLKqFGj3tpeURSlQYMGiouL\ny1vb37hxQ9Fqtcrt27dTHf/000+VIUOGKIqiKCEhIYpGo1EOHDigfz40NFTRarXKb7/9pj9Hq9Uq\njx49Ssuti0zUp08fJU+ePIqFhUWqh5mZmaLVapWYmBjl5s2bikajUc6dO6coyv9/T7dt25aqr2rV\nqim+vr5vvU5AQIBiaWmZ6u/X1/3cuHFDURRFGTVqlNKoUSP988eOHVPy5Mmj/zl5mx49eiju7u4Z\nvn8hhMhOMvJTCCHS6PWaa2ZmZhlq/9FHH2FkZCSfkotUxo4dy7Jly9SOkWudOXOG6dOns2nTJoyN\njdWOI3KIOnXqEBoayqhRo+jRowc9e/b81w1yMkuDBg3o06cP7u7ub4wOyy2mT59O5cqV6dq1K2PH\njtWPcvz44495/vw59evXp1evXiiKwk8//UTXrl3x8/Pj6dOn2Z6XctSUAAAgAElEQVS1SpUq5MmT\n543jSUlJdO7cmcqVKzN79ux/bB8eHk6zZs3e+lxYWBiKolCpUiXy58+vf+zZsyfV2rQajYaqVavq\n/9/a2hpFUXjw4ME73JnILI0bNyYiIoILFy7oH+vXr//XNhqNBicnp1THhg8fjp+fH/Xr12fy5Mn6\nafIAkZGRVKtWLdXfr/Xr10er1eo35OzVqxehoaHcvn0bgPXr19O4cWP9EhA6nY5p06ZRvXp1rKys\nyJ8/P9u2bcuW33tCCJEZpPgphBBpFBYWRosWLTLcXqPR0LJlyzRvwCByh/Lly3P9+nW1Y+RKT58+\npXv37ixduhRbW1u144gcRqPR4OLiQmRkJPb29tSsWRNvb29evnyZpdf18fHh1q1brFy5MkuvY2hu\n3bpFy5Yt2bJlC15eXrRt25Z9+/axcOFCABo2bEjLli354osvCA4OJiAggNDQUPz9/Vm1ahVHjx7N\ntCwFChR46xreT58+TTV13tzc/K3tv/jiC2JjY9m4cWOGp5zrdDq0Wi1nz55NVTi7evXqGz8bf93A\n7fX1snPJBvHPzMzMsLW1xc7OTv8oVarUf7b7+89Wv379uHnzJv369eP69evUr18fX1/f/+zn9c9D\nzZo1qVChAuvXryc5OZmgoCD9lHeAb775hnnz5jFu3DgOHTrEhQsXUq0/K4QQhk6Kn0IIkUaxsbH6\n9ZMyqmDBgrLpkUhFip/qUBSF/v37065dOzp37qx2HJGDmZub4+PjQ1hYGJGRkTg4OLBhw4YsG5lp\nbGzM2rVr8fLyIioqKkuuYYiOHz/O9evX2blzJ71798bLy4sKFSqQlJREfHw8AAMGDGD48OHY2trq\nizrDhg3j1atX+hFumaFChQqpRta9du7cuf9cE3z27Nns2bOH3bt3Y2Fh8a/n1qxZk+Dg4H98TlEU\n7t27l6pwZmdnR4kSJdJ+M+K9YW1tzYABA9i4cSO+vr4EBAQAULFiRS5evMiLFy/054aGhqIoChUr\nVtQf69WrF+vWrWPfvn28fPmSzz77LNX57du3x8XFhWrVqmFnZ8e1a9ey7+aEEOIdSfFTCCHSyNTU\nVP8GK6Pi4+MxNTXNpETifWBvby9vIFSwaNEibt68+a9TToVIDxsbGzZu3Mj69euZPXs2DRs25OzZ\ns1lyrSpVquDl5YWbmxspKSlZcg1Dc/PmTUqXLp3qdTgpKYm2bdvqX1fLli2rn6arKAo6nY6kpCQA\nHj16lGlZBg8eTFRUFMOGDSMiIoJr164xb948Nm3axNixY/+x3cGDB5k4cSKLFy/GxMSE33//nd9/\n/12/6/bfTZw4kaCgICZPnszVq1e5fPky/v7+JCQkUL58eVxcXOjTpw9btmwhOjqac+fOMWfOHLZv\n367vIy1F+Ny6hIIh+7fvydueGzFiBPv37yc6Oprz58+zb98+KleuDPy56aaZmZl+U7CjR48yaNAg\nPvvsM+zs7PR9uLq6cvnyZSZPnkz79u1TFeft7e0JDg4mNDSUyMhIvvzyS6KjozPxjoUQImtJ8VMI\nIdKoVKlSREZGvlMfkZGRaZrOJHKPMmXK8PDhw3curIu0CwsLw9fXl02bNmFiYqJ2HPGeadiwIWfO\nnKF///506NCBvn37cu/evUy/zsiRI8mbN2+uKeB36dKFuLg4BgwYwMCBAylQoADHjx/Hy8uLQYMG\n8csvv6Q6X6PRoNVqWb16NUWKFGHAgAGZlsXW1pajR49y/fp1WrdujbOzM5s3b+aHH36gVatW/9gu\nNDSU5ORkunXrhrW1tf4xYsSIt57fpk0btm3bxr59+3B0dKRp06aEhISg1f75Fi4wMJC+ffsybtw4\nKlasSPv27Tl27Bg2Njapvg5/9/djstu74fnr9yQt3y+dTsewYcOoXLkyrVu3pnjx4gQGBgJ/fni/\nf/9+nj17hrOzM506daJBgwasWLEiVR9lypShYcOGREREpJryDjBp0iTq1KlD27ZtadKkCRYWFvTq\n1SuT7lYIIbKeRpGP+oQQIk0OHjzI6NGjOX/+fIbeKNy5c4dq1aoRExND/vz5syChyKkqVqxIUFAQ\nVapUUTvKe+/Zs2c4Ojoyffp0unXrpnYc8Z579uwZ06ZNY8WKFYwePZqRI0eSL1++TOs/JiaGWrVq\nceDAAWrUqJFp/Rqqmzdv8uOPP/Ltt9/i7e1NmzZt2Lt3LytWrMDU1JRdu3YRHx/P+vXryZMnD6tX\nr+by5cuMGzeOYcOGodVqpdAnhBBC5EIy8lMIIdKoWbNmJCQkcPz48Qy1X758OS4uLlL4FG+Qqe/Z\nQ1EU3N3dadGihRQ+RbYoUKAAX3/9NSdPnuTUqVNUqlSJbdu2Zdo0YxsbG+bMmUPv3r1JSEjIlD4N\nWdmyZbly5Qp169bFxcWFQoUK4eLiQrt27bh16xYPHjzA1NSU6OhoZsyYQdWqVbly5QojR47EyMhI\nCp9CCCFELiXFTyGESCOtVsuXX37J+PHj0727ZVRUFEuXLsXDwyOL0omcTDY9yh4BAQFERkYyb948\ntaOIXObDDz9k+/btLF++nClTptC8eXMiIiIype/evXtjb2/PpEmTMqU/Q6YoCmFhYdSrVy/V8dOn\nT1OyZEn9GoXjxo3j6tWr+Pv7U7hwYTWiCiGEEMKASPFTCCHSwcPDgyJFitC7d+80F0Dv3LlDmzZt\nmDJlCpUqVcrihCInkuJn1rtw4QKTJk1i8+bNsumYUE3z5s0JDw+nS5cutGzZksGDB/Pw4cN36lOj\n0bBs2TLWr19PSEhI5gQ1EH8fIavRaOjbty8BAQHMnz+fqKgovvrqK86fP0+vXr0wMzMDIH/+/DLK\nUwghhBB6UvwUQoh0MDIyYv369SQmJtK6dWvOnDnzj+cmJyezZcsW6tevj7u7O0OGDMnGpCInkWnv\nWev58+d069YNf39/KlSooHYckcvlyZMHDw8PIiMjMTExoVKlSvj7++t3Jc8IKysrli9fTp8+fYiN\njc3EtNlPURSCg4Np1aoVV69efaMAOmDAAMqXL8+SJUto0aIFu3fvZt68ebi6uqqUWAghhBCGTjY8\nEkKIDEhJSWH+/Pl8++23FClShIEDB1K5cmXMzc2JjY3l8OHDBAQEYGtry/jx42nbtq3akYUBu3Pn\nDrVr186SHaFzO0VR+PLLL0lMTOS7775TO44Qb7h69SojR47k5s2bzJ07951eLwYOHEhiYqJ+l+ec\n5PUHhrNmzSIhIQFPT09cXFwwNjZ+6/m//PILWq2W8uXLZ3NSIYQQQuQ0UvwUQoh3kJKSwv79+1m1\nahWhoaGYm5vzwQcfUK1aNQYNGkS1atXUjihyAJ1OR/78+bl//75siJXJFEVBp9ORlJSUqbtsC5GZ\nFEVhz549jBo1inLlyjF37lwcHBzS3U9cXBw1atRg1qxZdO7cOQuSZr6XL1+yatUq5syZQ6lSpRg7\ndixt27ZFq5UJakIIIYTIHFL8FEIIIQxA9erVWbVqFY6OjmpHee8oiiLr/4kc4dWrVyxatIjp06fj\n6urKV199RaFChdLVx4kTJ+jUqRPnz5+nePHiWZT03T169IhFixaxaNEi6tevz9ixY9/YyEgIkf2C\ng4MZPnw4Fy9elNdOIcR7Qz5SFUIIIQyAbHqUdeTNm8gpjI2NGTlyJFeuXCEhIQEHBweWLFlCcnJy\nmvuoV68eAwYMYMCAAW+sl2kIbt68ybBhwyhfvjy3b9/myJEjbNu2TQqfQhiIZs2aodFoCA4OVjuK\nEEJkGil+CiGEEAbA3t5eip9CCACKFi3K0qVL+emnn9i8eTOOjo4cOnQoze2nTJnC3bt3Wb58eRam\nTJ/w8HBcXFyoVasW5ubmXL58meXLl2doer8QIutoNBpGjBiBv7+/2lGEECLTyLR3IYQQwgCsWrWK\nw4cPs3r1arWj5Ci//vorV65coVChQtjZ2VGyZEm1IwmRqRRFYevWrXh6elK9enVmz55NuXLl/rPd\nlStXaNSoESdPnuTDDz/MhqRver1z+6xZs7hy5QojR47E3d2dAgUKqJJHCJE28fHxlC1blmPHjmFv\nb692HCGEeGcy8lMIIYQwADLtPf1CQkLo3LkzgwYN4tNPPyUgICDV8/L5rngfaDQaPvvsM65cuUKd\nOnVwdnbGy8uL58+f/2u7SpUqMWnSJNzc3NI1bT4zJCcns3HjRpycnBg+fDiurq5ERUUxevRoKXwK\nkQOYmpryxRdfsGDBArWjCCFEppDipxBCpINWq2Xr1q2Z3u+cOXOwtbXV/7+Pj4/sFJ/L2Nvbc+3a\nNbVj5BgvX76ke/fudOnShYsXL+Ln58eSJUt4/PgxAImJibLWp3iv5MuXj/HjxxMREcH9+/epUKEC\nq1atQqfT/WObYcOGYWpqyqxZs7Il48uXL1m0aBH29vYsXrwYX19fLl68yOeff46xsXG2ZBBCZI7B\ngwezfv16njx5onYUIYR4Z1L8FEK81/r06YNWq8Xd3f2N58aNG4dWq6VDhw4qJHvTXws1np6eHDly\nRMU0IrsVLVqU5ORkffFO/LtvvvmGatWqMWXKFIoUKYK7uzvly5dn+PDhODs74+HhwalTp9SOKUSm\ns7a2JjAwkO3bt7N8+XLq1KlDaGjoW8/VarWsWrUKf39/wsPD9ccvX77MggUL8PHxYerUqSxbtox7\n9+5lONMff/yBj48Ptra2BAcHs27dOo4ePconn3yCVitvN4TIiaytrWnXrh0rVqxQO4oQQrwz+WtE\nCPFe02g0lClThs2bNxMfH68/npKSwpo1a7CxsVEx3T8zMzOjUKFCascQ2Uij0cjU93QwNTUlMTGR\nhw8fAjB16lQuXbpE1apVadGiBb/++isBAQGp/t0L8T55XfQcNWoUPXr0oGfPnty6deuN88qUKcPc\nuXNxdXVl7dq1NGnShJYtW3L16lVSUlKIj48nNDSUSpUq0a1bN0JCQtK8ZER0dDRDhw7F3t6eO3fu\ncPToUbZu3So7twvxnhgxYgQLFy7M9qUzhBAis0nxUwjx3qtatSrly5dn8+bN+mO7d+/G1NSUJk2a\npDp31apVVK5cGVNTUxwcHPD393/jTeCjR4/o1q0bFhYWlCtXjnXr1qV6fvz48Tg4OGBmZoatrS3j\nxo3j1atXqc6ZNWsWJUqUoECBAvTp04e4uLhUz/v4+FC1alX9/589e5bWrVtTtGhRChYsyEcffcTJ\nkyff5csiDJBMfU87KysrwsPDGTduHIMHD8bPz48tW7YwduxYpk2bhqurK+vWrXtrMUiI94VGo8HF\nxYXIyEjs7e1xdHTE29ubly9fpjqvTZs2PHv2jPnz5zNkyBBiYmJYsmQJvr6+TJs2jdWrVxMTE0Pj\nxo1xd3dn4MCB/1rsCA8Pp2fPntSuXRsLCwv9zu0VKlTI6lsWQmQjJycnypQpw/bt29WOIoQQ70SK\nn0KI955Go6F///6ppu2sXLmSvn37pjpv+fLlTJo0ialTpxIZGcmcOXOYNWsWS5YsSXWen58fnTp1\nIiIigu7du9OvXz/u3Lmjf97CwoLAwEAiIyNZsmQJmzZtYtq0afrnN2/ezOTJk/Hz8yMsLAx7e3vm\nzp371tyvPX/+HDc3N0JDQzlz5gw1a9akXbt2sg7Te0ZGfqZdv3798PPz4/Hjx9jY2FC1alUcHBxI\nSUkBoH79+lSqVElGfopcwdzcHB8fH86dO0dkZCQODg5s2LABRVF4+vQpTZs2pVu3bpw6dYquXbuS\nN2/eN/ooUKAAQ4YMISwsjNu3b+Pq6ppqPVFFUTh48CCtWrWiffv21KpVi6ioKGbMmEGJEiWy83aF\nENloxIgRzJ8/X+0YQgjxTjSKbIUqhHiP9e3bl0ePHrF69Wqsra25ePEi5ubm2Nracv36dSZPnsyj\nR4/48ccfsbGxYfr06bi6uurbz58/n4CAAC5fvgz8uX7ahAkTmDp1KvDn9PkCBQqwfPlyXFxc3pph\n2bJlzJkzRz+ir0GDBlStWpWlS5fqz2nZsiU3btwgKioK+HPk55YtW4iIiHhrn4qiULJkSWbPnv2P\n1xU5z9q1a9m9ezcbNmxQO4pBSkpKIjY2FisrK/2xlJQUHjx4wMcff8yWLVv48MMPgT83aggPD5cR\n0iJXOnbsGCNGjCBfvnwYGRlRrVo1Fi5cmOZNwBISEmjVqhXNmzdn4sSJ/PDDD8yaNYvExETGjh1L\nz549ZQMjIXKJ5ORkPvzwQ3744Qdq1aqldhwhhMiQPGoHEEKI7GBpaUmnTp1YsWIFlpaWNGnShFKl\nSumf/+OPP7h9+zYDBw5k0KBB+uPJyclvvFn863R0IyMjihYtyoMHD/THfvjhB+bPn8+vv/5KXFwc\nKSkpqUbPXL169Y0NmOrVq8eNGzf+Mf/Dhw+ZNGkSISEh/P7776SkpJCQkCBTet8z9vb2zJs3T+0Y\nBmn9+vXs2LGDvXv30qVLF+bPn0/+/PkxMjKiePHiWFlZUa9ePbp27cr9+/c5ffo0x48fVzu2EKr4\n6KOPOH36NH5+fixatIhDhw6lufAJf+4sv2bNGqpVq8bKlSuxsbHB19eXtm3bygZGQuQyefLkYejQ\nocyfP581a9aoHUcIITJEip9CiFyjX79+fP7551hYWOhHbr72uji5bNmy/9yo4e/TBTUajb79yZMn\n6dmzJz4+PrRu3RpLS0t27NiBp6fnO2V3c3Pj4cOHzJ8/HxsbG0xMTGjWrNkba4mKnO31tHdFUdJV\nqHjfHT9+nKFDh+Lu7s7s2bP58ssvsbe3x8vLC/jz3+COHTuYMmUKBw4coGXLlowaNYoyZcqonFwI\n9RgZGXH37l2GDx9Onjzp/5PfxsYGZ2dnnJycmDFjRhYkFELkFP3798fOzo67d+9ibW2tdhwhhEg3\nKX4KIXKN5s2bY2xszOPHj+nYsWOq54oVK4a1tTW//vprqmnv6XX8+HFKlSrFhAkT9Mdu3ryZ6pyK\nFSty8uRJ+vTpoz924sSJf+03NDSUhQsX8vHHHwPw+++/c+/evQznFIapUKFCGBsb8+DBAz744AO1\n4xiE5ORk3NzcGDlyJJMmTQLg/v37JCcnM3PmTCwtLSlXrhwtW7Zk7ty5xMfHY2pqqnJqIdT37Nkz\ngoKCuHr1aob7GD16NBMmTJDipxC5nKWlJa6urixZsgQ/Pz+14wghRLpJ8VMIkatcvHgRRVHeutmD\nj48Pw4YNo2DBgrRt25akpCTCwsL47bff9CPM/ou9vT2//fYb69evp169euzbt4+NGzemOmf48OF8\n/vnn1KpViyZNmhAUFMTp06cpUqTIv/a7du1a6tSpQ1xcHOPGjcPExCR9Ny9yhNc7vkvx808BAQFU\nrFiRwYMH648dPHiQmJgYbG1tuXv3LoUKFeKDDz6gWrVqUvgU4n9u3LiBjY0NxYsXz3AfTZs21b9u\nymh0IXK3ESNGcOLECfl9IITIkWTRHiFErmJubo6FhcVbn+vfvz8rV65k7dq11KhRg0aNGrF8+XLs\n7Oz057ztj72/Hvvkk0/w9PRk5MiRVK9eneDg4Dc+Ie/WrRve3t5MmjQJR0dHLl++zOjRo/8196pV\nq4iLi6NWrVq4uLjQv39/ypYtm447FzmF7PiemrOzMy4uLuTPnx+ABQsWEBYWxvbt2wkJCeHs2bNE\nR0ezatUqlZMKYVhiY2MpUKDAO/VhbGyMkZER8fHxmZRKCJFTlStXDldXVyl8CiFyJNntXQghhDAg\nU6dO5cWLFzLN9C+SkpLImzcvycnJ7Nmzh2LFilG3bl10Oh1arZZevXpRrlw5fHx81I4qhME4ffo0\nHh4enD17NsN9pKSkYGxsTFJSkmx0JIQQQogcS/6KEUIIIQzI62nvud3Tp0/1//16s5Y8efLwySef\nULduXQC0Wi3x8fFERUVhaWmpSk4hDFWpUqWIjo5+p1GbV65cwdraWgqfQgghhMjR5C8ZIYQQwoDI\ntHcYOXIk06dPJyoqCvhzaYnXE1X+WoRRFIVx48bx9OlTRo4cqUpWIQyVtbU1tWvXJigoKMN9LFv2\nf+zdeVTN+eM/8Oe9N9pLqSiUVgxlSdbB2LNONBNiqOzEMJbhYxhZMjO2iDBSGMaeUXYzTMaalCwV\nFVmiLIUWrff+/vBzv9MQ7e+69/k4p3Pce9/Lszsz5vbstWyCu7t7OaYiIkWVnp6O48ePIywsDBkZ\nGULHISIqhNPeiYiIqpCMjAwYGRkhIyNDKUdbbd26FR4eHlBXV0fv3r0xc+ZMODg4vLdJ2a1bt+Dj\n44Pjx4/jr7/+go2NjUCJiaqu4OBgeHt749KlSyU+Nz09HWZmZrh+/Trq169fAemISFE8f/4cQ4YM\nQWpqKp48eYI+ffpwLW4iqlKU76cqIiKiKkxLSwu1atVCUlKS0FEqXVpaGvbv34+lS5fi+PHjuHnz\nJkaPHo19+/YhLS2t0LENGjRAixYt8Ouvv7L4JCpCv3798Pz5c+zZs6fE5y5cuBA9evRg8UlE75FK\npQgODkbfvn2xaNEinDx5EikpKVi5ciWCgoJw6dIlBAQECB2TiEhORegAREREVNi7qe8NGjQQOkql\nEovF6NWrFywsLNCpUydER0fD1dUVEydOhKenJzw8PGBpaYnMzEwEBQXB3d0dGhoaQscmqrIkEgkO\nHDiAnj17QkdHB3369PnkOTKZDL/88guOHDmCCxcuVEJKIqpuRo0ahStXrmDEiBE4f/48duzYgT59\n+qBbt24AgPHjx2PdunXw8PAQOCkR0Vsc+UlERFTFKOumR7q6uhg3bhz69+8P4O0GR3v37sXSpUux\nZs0aTJs2DWfPnsX48eOxdu1aFp9ExdC8eXMcOnQI7u7u8PLywtOnT4s89s6dO3B3d8eOHTtw6tQp\n6OvrV2JSIqoObt++jbCwMIwdOxY//PADjh07Bk9PT+zdu1d+TO3ataGurv7Rv2+IiCoTR34SERFV\nMcq86ZGampr8zwUFBZBIJPD09MTnn3+OESNGYMCAAcjMzERUVJSAKYmql/bt2+P8+fPw9vaGubk5\nBgwYgKFDh8LQ0BAFBQV4+PAhtm7diqioKHh4eODcuXPQ1dUVOjYRVUF5eXkoKCiAi4uL/LkhQ4Zg\n9uzZmDx5MgwNDfHHH3+gbdu2MDIygkwmg0gkEjAxERHLTyIioirH2toa586dEzqG4CQSCWQyGWQy\nGVq0aIFt27bBwcEB27dvR9OmTYWOR1StWFpaYuHChQgKCkKLFi2wefNmpKamQkVFBYaGhnBzc8NX\nX30FVVVVoaMSURXWrFkziEQihISEYNKkSQCA0NBQWFpawtTUFEeOHEGDBg0watQoAGDxSURVAnd7\nJyIiqmJu3boFZ2dnxMbGCh2lykhLS0O7du1gbW2Nw4cPCx2HiIhIaQUEBMDHxwddu3ZF69atsWfP\nHtStWxf+/v548uQJdHV1uTQNEVUpLD+JiErg3TTcdziVhypCdnY2atWqhYyMDKiocJIGALx48QK+\nvr5YuHCh0FGIiIiUno+PD3777Te8evUKtWvXhp+fH+zt7eWvJycno27dugImJCL6Pyw/iYjKKDs7\nG1lZWdDS0kLNmjWFjkMKwszMDGfOnIGFhYXQUSpNdnY2VFVVi/yFAn/ZQEREVHU8e/YMr169gpWV\nFYC3szSCgoKwfv16qKurQ09PD05OTvjqq69Qq1YtgdMSkTLjbu9ERMWUm5uLBQsWID8/X/7cnj17\nMGnSJEyZMgWLFi3C/fv3BUxIikTZdnx/8uQJLCws8OTJkyKPYfFJRERUdRgYGMDKygo5OTnw8vKC\ntbU1xo4di7S0NAwbNgwtW7bEvn374ObmJnRUIlJyHPlJRFRMDx8+RKNGjZCZmYmCggJs27YNnp6e\naNeuHbS1tREWFgZVVVVcvXoVBgYGQselam7SpElo0qQJpkyZInSUCldQUICePXuic+fOnNZORERU\njchkMvz4448ICAhA+/btoa+vj6dPn0IqleLQoUO4f/8+2rdvDz8/Pzg5OQkdl4iUFEd+EhEV0/Pn\nzyGRSCASiXD//n2sXbsWc+bMwZkzZxAcHIwbN27A2NgYy5cvFzoqKQBra2vExcUJHaNSLFmyBAAw\nf/58gZMQKRYvLy/Y2toKHYOIFFhERARWrFiB6dOnw8/PD5s2bcLGjRvx/PlzLFmyBGZmZvjmm2+w\natUqoaMSkRJj+UlEVEzPnz9H7dq1AUA++nPatGkA3o5cMzQ0xKhRo3Dx4kUhY5KCUJZp72fOnMGm\nTZuwc+fOQpuJESk6d3d3iMVi+ZehoSEGDBiA27dvl+t9qupyEaGhoRCLxUhNTRU6ChGVQVhYGLp0\n6YJp06bB0NAQAFCnTh107doV8fHxAIAePXqgTZs2yMrKEjIqESkxlp9ERMX08uVLPHr0CPv378ev\nv/6KGjVqyH+ofFfa5OXlIScnR8iYpCCUYeTn06dPMWLECGzbtg3GxsZCxyGqdD179kRKSgqSk5Nx\n6tQpvHnzBoMHDxY61ifl5eWV+RrvNjDjClxE1VvdunVx8+bNQp9/79y5A39/fzRp0gQA4ODggAUL\nFkBDQ0OomESk5Fh+EhEVk7q6OurUqYN169bh9OnTMDY2xsOHD+WvZ2VlISYmRql256aKY25ujqSk\nJOTm5godpUJIpVJ88803cHNzQ8+ePYWOQyQIVVVVGBoawsjICC1atMD06dMRGxuLnJwc3L9/H2Kx\nGBEREYXOEYvFCAoKkj9+8uQJhg8fDgMDA2hqaqJVq1YIDQ0tdM6ePXtgZWUFHR0dDBo0qNBoy/Dw\ncPTu3RuGhobQ1dVFp06dcOnSpffu6efnB2dnZ2hpaWHevHkAgOjoaPTv3x86OjqoU6cOXF1dkZKS\nIj/v5s2b6NGjB3R1daGtrY2WLVsiNDQU9+/fR7du3QAAhoaGkEgk8PDwKJ83lYgq1aBBg6ClpYXv\nv/8eGzduxObNmzFv3jw0atQILi4uAIBatWpBR0dH4KREpDfoMk0AACAASURBVMxUhA5ARFRd9OrV\nC//88w9SUlKQmpoKiUSCWrVqyV+/ffs2kpOT0adPHwFTkqKoUaMGGjRogLt376Jx48ZCxyl3P/30\nE968eQMvLy+hoxBVCenp6di9ezfs7OygqqoK4NNT1rOystC5c2fUrVsXwcHBMDExwY0bNwodc+/e\nPezduxeHDh1CRkYGhgwZgnnz5mHDhg3y+44cORK+vr4AgHXr1qFfv36Ij4+Hnp6e/DqLFi2Ct7c3\nVq5cCZFIhOTkZHTp0gVjx47FqlWrkJubi3nz5uHLL7+Ul6eurq5o0aIFwsPDIZFIcOPGDaipqcHU\n1BQHDhzAV199hZiYGOjp6UFdXb3c3ksiqlzbtm2Dr68vfvrpJ+jq6sLAwADff/89zM3NhY5GRASA\n5ScRUbGdPXsWGRkZ7+1U+W7qXsuWLXHw4EGB0pEiejf1XdHKz3/++Qdr165FeHg4VFT4UYSU17Fj\nx6CtrQ3g7VrSpqamOHr0qPz1T00J37lzJ54+fYqwsDB5UdmwYcNCxxQUFGDbtm3Q0tICAIwbNw5b\nt26Vv961a9dCx69Zswb79+/HsWPH4OrqKn9+6NChhUZn/vjjj2jRogW8vb3lz23duhW1a9dGeHg4\nWrdujfv372PWrFmwtrYGgEIzI/T19QG8Hfn57s9EVD21adMG27Ztkw8QaNq0qdCRiIgK4bR3IqJi\nCgoKwuDBg9GnTx9s3boVL168AFB1N5Og6k8RNz16/vw5XF1dERgYiPr16wsdh0hQXbp0wfXr1xEV\nFYUrV66ge/fu6NmzJ5KSkop1/rVr12BnZ1dohOZ/mZmZyYtPADAxMcHTp0/lj589e4bx48ejUaNG\n8qmpz549w4MHDwpdx97evtDjq1evIjQ0FNra2vIvU1NTiEQiJCQkAAC+++47jB49Gt27d4e3t3e5\nb+ZERFWHWCyGsbExi08iqpJYfhIRFVN0dDR69+4NbW1tzJ8/H25ubtixY0exf0glKilF2/RIKpVi\n5MiRcHV15fIQRAA0NDRgbm4OCwsL2NvbY/PmzXj9+jV+/fVXiMVvP6b/e/Rnfn5+ie9Ro0aNQo9F\nIhGkUqn88ciRI3H16lWsWbMGFy9eRFRUFOrVq/feesOampqFHkulUvTv319e3r77iouLQ//+/QG8\nHR0aExODQYMG4cKFC7Czsys06pSIiIioMrD8JCIqppSUFLi7u2P79u3w9vZGXl4e5syZAzc3N+zd\nu7fQSBqi8qBo5efKlSvx8uVLLFmyROgoRFWWSCTCmzdvYGhoCODthkbvREZGFjq2ZcuWuH79eqEN\njErq/PnzmDJlChwdHdGkSRNoamoWumdRWrVqhVu3bsHU1BQWFhaFvv5dlFpaWsLT0xOHDx/G6NGj\n4e/vDwCoWbMmgLfT8olI8Xxq2Q4iosrE8pOIqJjS09OhpqYGNTU1fPPNNzh69CjWrFkj36V24MCB\nCAwMRE5OjtBRSUEo0rT3ixcvYsWKFdi9e/d7I9GIlFVOTg5SUlKQkpKC2NhYTJkyBVlZWRgwYADU\n1NTQrl07/Pzzz4iOjsaFCxcwa9asQkutuLq6wsjICF9++SXOnTuHe/fuISQk5L3d3j/GxsYGO3bs\nQExMDK5cuYJhw4bJN1z6mMmTJ+PVq1dwcXFBWFgY7t27hz///BPjx49HZmYmsrOz4enpKd/d/fLl\nyzh37px8SqyZmRlEIhGOHDmC58+fIzMzs+RvIBFVSTKZDKdPny7VaHUioorA8pOIqJgyMjLkI3Hy\n8/MhFovh7OyM48eP49ixY6hfvz5Gjx5drBEzRMXRoEEDPH/+HFlZWUJHKZPU1FQMGzYMmzdvhqmp\nqdBxiKqMP//8EyYmJjAxMUG7du1w9epV7N+/H506dQIABAYGAni7mcjEiROxdOnSQudraGggNDQU\n9evXx8CBA2Fra4uFCxeWaC3qwMBAZGRkoHXr1nB1dcXo0aPf2zTpQ9czNjbG+fPnIZFI0KdPHzRr\n1gxTpkyBmpoaVFVVIZFIkJaWBnd3dzRu3BjOzs7o2LEjVq5cCeDt2qNeXl6YN28e6tatiylTppTk\nrSOiKkwkEmHBggUIDg4WOgoREQBAJON4dCKiYlFVVcW1a9fQpEkT+XNSqRQikUj+g+GNGzfQpEkT\n7mBN5eazzz7Dnj17YGtrK3SUUpHJZHBycoKlpSVWrVoldBwiIiKqBPv27cO6detKNBKdiKiicOQn\nEVExJScno1GjRoWeE4vFEIlEkMlkkEqlsLW1ZfFJ5aq6T3338fFBcnIyfvrpJ6GjEBERUSUZNGgQ\nEhMTERERIXQUIiKWn0RExaWnpyffffe/RCJRka8RlUV13vQoLCwMy5Ytw+7du+WbmxAREZHiU1FR\ngaenJ9asWSN0FCIilp9ERERVWXUtP1++fIkhQ4Zg48aNMDc3FzoOERERVbIxY8YgJCQEycnJQkch\nIiXH8pOIqAzy8/PBpZOpIlXHae8ymQyjR49G//79MXjwYKHjEBERkQD09PQwbNgwbNiwQegoRKTk\nWH4SEZWBjY0NEhIShI5BCqw6jvxcv349EhMTsWLFCqGjEBERkYCmTp2KjRs3Ijs7W+goRKTEWH4S\nEZVBWloa9PX1hY5BCszExATp6el4/fq10FGKJSIiAosWLcKePXugqqoqdBwiIiISUKNGjWBvb49d\nu3YJHYWIlBjLTyKiUpJKpUhPT4eurq7QUUiBiUSiajP68/Xr13BxccG6detgZWUldBwipbJs2TKM\nHTtW6BhERO+ZNm0afHx8uFQUEQmG5ScRUSm9evUKWlpakEgkQkchBVcdyk+ZTIaxY8eiZ8+ecHFx\nEToOkVKRSqXYsmULxowZI3QUIqL39OzZE3l5efj777+FjkJESorlJxFRKaWlpUFPT0/oGKQErK2t\nq/ymR5s2bcLt27exevVqoaMQKZ3Q0FCoq6ujTZs2QkchInqPSCSSj/4kIhICy08iolJi+UmVxcbG\npkqP/IyKisL8+fOxd+9eqKmpCR2HSOn4+/tjzJgxEIlEQkchIvqgESNG4MKFC4iPjxc6ChEpIZaf\nRESlxPKTKktVnvaenp4OFxcX+Pj4wMbGRug4REonNTUVhw8fxogRI4SOQkRUJA0NDYwdOxa+vr5C\nRyEiJcTyk4iolFh+UmWxsbGpktPeZTIZJk6ciE6dOmH48OFCxyFSSjt37kTfvn1Ru3ZtoaMQEX3U\npEmT8Ntvv+HVq1dCRyEiJcPyk4iolFh+UmUxMDCAVCrFixcvhI5SSEBAAKKiorB27VqhoxApJZlM\nJp/yTkRU1dWvXx+Ojo4ICAgQOgoRKRmWn0REpcTykyqLSCSqclPfb968iTlz5mDv3r3Q0NAQOg6R\nUrp69SrS09PRtWtXoaMQERXLtGnT4Ovri4KCAqGjEJESYflJRFRKLD+pMlWlqe+ZmZlwcXHBihUr\n0KRJE6HjECktf39/jB49GmIxP9ITUfXQpk0b1K1bFyEhIUJHISIlwk9KRESllJqaCn19faFjkJKo\nSiM/PT090aZNG4waNUroKERKKzMzE3v37oWbm5vQUYiISmTatGnw8fEROgYRKRGWn0REpcSRn1SZ\nqkr5uX37dly6dAnr1q0TOgqRUtu3bx86duyIevXqCR2FiKhEBg8ejLt37yIyMlLoKESkJFh+EhGV\nEstPqkxVYdp7TEwMZsyYgb1790JLS0vQLETKjhsdEVF1paKiAk9PT6xZs0boKESkJFSEDkBEVF2x\n/KTK9G7kp0wmg0gkqvT7Z2VlwcXFBcuWLYOtrW2l35+I/k9MTAwSEhLQt29foaMQEZXKmDFjYGVl\nheTkZNStW1foOESk4Djyk4iolFh+UmWqVasW1NTUkJKSIsj9v/32W9jZ2WH06NGC3J+I/s+WLVvg\n5uaGGjVqCB2FiKhU9PX1MXToUGzcuFHoKESkBEQymUwmdAgioupIT08PCQkJ3PSIKk3Hjh2xbNky\ndO7cuVLv+/vvv8PLywvh4eHQ1tau1HsTUWEymQx5eXnIycnhf49EVK3Fxsbiiy++QGJiItTU1ISO\nQ0QKjCM/iYhKQSqVIj09Hbq6ukJHISUixKZHd+7cwbfffos9e/awaCGqAkQiEWrWrMn/Homo2mvc\nuDFatmyJ3bt3Cx2FiBQcy08iohJ48+YNIiIiEBISAjU1NSQkJIAD6KmyVHb5mZ2dDRcXFyxatAgt\nWrSotPsSERGRcpg2bRp8fHz4eZqIKhTLTyKiYoiPj8fMmTNhamoKd3d3rFq1Cubm5ujWrRvs7e3h\n7++PzMxMoWOSgqvsHd+/++472NjYYMKECZV2TyIiIlIevXr1Qm5uLkJDQ4WOQkQKjOUnEdFH5Obm\nYuzYsWjfvj0kEgkuX76MqKgohIaG4saNG3jw4AG8vb0RHBwMMzMzBAcHCx2ZFFhljvzcu3cvTp48\nic2bNwuyuzwREREpPpFIhG+//RY+Pj5CRyEiBcYNj4iIipCbm4svv/wSKioq2LVrF7S0tD56fFhY\nGJycnPDTTz9h5MiRlZSSlElGRgaMjIyQkZEBsbjifn+ZkJCA9u3b49ixY7C3t6+w+xARERFlZWXB\nzMwMly5dgqWlpdBxiEgBsfwkIiqCh4cHXrx4gQMHDkBFRaVY57zbtXLnzp3o3r17BSckZVSvXj1c\nvHgRpqamFXL9nJwcdOjQAW5ubpgyZUqF3IOIPu7d/3vy8/Mhk8lga2uLzp07Cx2LiKjCzJ07F2/e\nvOEIUCKqECw/iYg+4MaNG3B0dERcXBw0NDRKdO7Bgwfh7e2NK1euVFA6UmZffPEF5s+fX2Hl+tSp\nU5GUlIT9+/dzujuRAI4ePQpvb29ER0dDQ0MD9erVQ15eHho0aICvv/4aTk5On5yJQERU3Tx69Ah2\ndnZITEyEjo6O0HGISMFwzU8iog/w8/PDuHHjSlx8AsDAgQPx/Plzlp9UISpy06ODBw8iJCQEW7Zs\nYfFJJJA5c+bA3t4ecXFxePToEVavXg1XV1eIxWKsXLkSGzduFDoiEVG5q1+/Pnr37o2AgAChoxCR\nAuLITyKi/3j9+jXMzMxw69YtmJiYlOoaP//8M2JiYrB169byDUdKb/ny5Xjy5AlWrVpVrtdNTExE\nmzZtEBISgrZt25brtYmoeB49eoTWrVvj0qVLaNiwYaHXHj9+jMDAQMyfPx+BgYEYNWqUMCGJiCrI\n5cuXMWzYMMTFxUEikQgdh4gUCEd+EhH9R3h4OGxtbUtdfAKAs7Mzzpw5U46piN6qiB3fc3NzMWTI\nEMyZM4fFJ5GAZDIZ6tSpgw0bNsgfFxQUQCaTwcTEBPPmzcO4cePw119/ITc3V+C0RETlq23btqhT\npw4OHz4sdBQiUjAsP4mI/iM1NRUGBgZluoahoSHS0tLKKRHR/6mIae9z585FnTp1MH369HK9LhGV\nTIMGDTB06FAcOHAAv/32G2QyGSQSSaFlKKysrHDr1i3UrFlTwKRERBVj2rRp3PSIiMody08iov9Q\nUVFBQUFBma6Rn58PAPjzzz+RmJhY5usRvWNhYYH79+/L/x0rq5CQEOzfvx9bt27lOp9EAnq3EtX4\n8eMxcOBAjBkzBk2aNMGKFSsQGxuLuLg47N27F9u3b8eQIUMETktEVDEGDx6M+Ph4XLt2TegoRKRA\nuOYnEdF/nD9/Hp6enoiMjCz1Na5du4bevXujadOmiI+Px9OnT9GwYUNYWVm992VmZoYaNWqU43dA\niq5hw4b466+/YGlpWabrPHjwAA4ODjh48CA6dOhQTumIqLTS0tKQkZEBqVSKV69e4cCBA/j9999x\n9+5dmJub49WrV/j666/h4+PDkZ9EpLB+/vlnxMbGIjAwUOgoRKQgWH4SEf1Hfn4+zM3NcfjwYTRv\n3rxU15g2bRo0NTWxdOlSAMCbN29w7949xMfHv/f1+PFj1K9f/4PFqLm5OVRVVcvz2yMF0KtXL0yf\nPh19+vQp9TXy8vLQpUsXODk5Yfbs2eWYjohK6vXr1/D398eiRYtgbGyMgoICGBoaonv37hg8eDDU\n1dURERGB5s2bo0mTJhylTUQKLTU1FVZWVoiJiUGdOnWEjkNECoDlJxHRByxevBhJSUnYuHFjic/N\nzMyEqakpIiIiYGZm9snjc3NzkZiY+MFi9MGDB6hTp84Hi1FLS0toaGiU5tujam7y5Mlo1KgRpk6d\nWuprzJkzB9evX8fhw4chFnMVHCIhzZkzB3///TdmzJgBAwMDrFu3DgcPHoS9vT3U1dWxfPlybkZG\nREplwoQJ0NbWhr6+Ps6ePYu0tDTUrFkTderUgYuLC5ycnDhzioiKjeUnEdEHPHnyBJ999hkiIiJg\nbm5eonN//vlnnD9/HsHBwWXOkZ+fjwcPHiAhIeG9YvTu3bvQ19cvshjV0dEp8/1LIysrC/v27cP1\n69ehpaUFR0dHODg4QEVFRZA8isjHxwcJCQnw9fUt1fnHjh3DuHHjEBERAUNDw3JOR0Ql1aBBA6xf\nvx4DBw4E8HbUk6urKzp16oTQ0FDcvXsXR44cQaNGjQROSkRU8aKjo/H999/jr7/+wrBhw+Dk5ITa\ntWsjLy8PiYmJCAgIQFxcHMaOHYvZs2dDU1NT6MhEVMXxJ1Eiog8wNjbG4sWL0adPH4SGhhZ7yk1Q\nUBDWrFmDc+fOlUsOFRUVWFhYwMLCAj179iz0mlQqRVJSUqFCdPfu3fI/a2lpFVmM6uvrl0u+D3n+\n/DkuX76MrKwsrF69GuHh4QgMDISRkREA4PLlyzh16hSys7NhZWWF9u3bw8bGptA0TplMxmmdH2Fj\nY4Njx46V6tykpCS4u7tj7969LD6JqoC7d+/C0NAQ2tra8uf09fURGRmJdevWYd68eWjatClCQkLQ\nqFEj/v1IRArt1KlTGD58OGbNmoXt27dDT0+v0OtdunTBqFGjcPPmTXh5eaFbt24ICQmRf84kIvoQ\njvwkIvqIxYsXY+vWrdi9ezccHByKPC4nJwd+fn5Yvnw5QkJCYG9vX4kp3yeTyZCcnPzBqfTx8fGQ\nSCQfLEatrKxgaGhYph+sCwoK8PjxYzRo0AAtW7ZE9+7dsXjxYqirqwMARo4cibS0NKiqquLRo0fI\nysrC4sWL8eWXXwJ4W+qKxWKkpqbi8ePHqFu3LgwMDMrlfVEUcXFx6N27N+7evVui8/Lz89GtWzf0\n7t0b8+bNq6B0RFRcMpkMMpkMzs7OUFNTQ0BAADIzM/H7779j8eLFePr0KUQiEebMmYM7d+5gz549\nnOZJRArrwoULcHJywoEDB9CpU6dPHi+TyfC///0PJ0+eRGhoKLS0tCohJRFVRyw/iYg+4bfffsMP\nP/wAExMTTJo0CQMHDoSOjg4KCgpw//59bNmyBVu2bIGdnR02bdoECwsLoSN/lEwmw4sXL4osRnNz\nc4ssRo2NjUtUjBoZGWHu3Ln49ttv5etKxsXFQVNTEyYmJpDJZJgxYwa2bt2Ka9euwdTUFMDb6U4L\nFixAeHg4UlJS0LJlS2zfvh1WVlYV8p5UN3l5edDS0sLr169LtCHWDz/8gLCwMBw/fpzrfBJVIb//\n/jvGjx8PfX196Ojo4PXr1/Dy8oKbmxsAYPbs2YiOjsbhw4eFDUpEVEHevHkDS0tLBAYGonfv3sU+\nTyaTYfTo0ahZs2ap1uonIuXA8pOIqBgKCgpw9OhRrF+/HufOnUN2djYAwMDAAMOGDcOECRMUZi22\ntLS0D64xGh8fj/T0dFhaWmLfvn3vTVX/r/T0dNStWxeBgYFwcXEp8rgXL17AyMgIly9fRuvWrQEA\n7dq1Q15eHjZt2oR69erBw8MD2dnZOHr0qHwEqbKzsbHBoUOH0KRJk2Idf+rUKbi5uSEiIoI7pxJV\nQWlpadiyZQuSk5MxatQo2NraAgBu376NLl26YOPGjXBychI4JRFRxdi2bRv27NmDo0ePlvjclJQU\nNGrUCPfu3XtvmjwREcA1P4mIikUikWDAgAEYMGAAgLcj7yQSiUKOntPT00Pr1q3lReS/paenIyEh\nAWZmZkUWn+/Wo0tMTIRYLP7gGkz/XrPujz/+gKqqKqytrQEA586dQ1hYGK5fv45mzZoBAFatWoWm\nTZvi3r17+Oyzz8rrW63WrK2tERcXV6zy88mTJxg1ahR27tzJ4pOoitLT08PMmTMLPZeeno5z586h\nW7duLD6JSKH5+flh/vz5pTq3Tp066Nu3L7Zt24Zp06aVczIiUgSK91M7EVElqFGjhkIWn5+ira2N\nFi1aQE1NrchjpFIpACAmJgY6Ojrvba4klUrlxefWrVvh5eWFGTNmQFdXF9nZ2Th58iRMTU3RrFkz\n5OfnAwB0dHRgbGyMGzduVNB3Vv3Y2Njgzp07nzyuoKAAw4cPx7hx49C1a9dKSEZE5UVbWxv9+/fH\nqlWrhI5CRFRhoqOj8eTJE/Tp06fU15gwYQICAwPLMRURKRKO/CQiogoRHR0NIyMj1KpVC8Db0Z5S\nqRQSiQQZGRlYsGAB/vjjD0yZMgWzZs0CAOTm5iImJkY+CvRdkZqSkgIDAwO8fv1afi1l3+3Y2toa\nUVFRnzxuyZIlAFDq0RREJCyO1iYiRffgwQM0btwYEomk1Ndo2rQpHj58WI6piEiRsPwkIqJyI5PJ\n8PLlS9SuXRtxcXFo2LAhdHV1AUBefF67dg3ffvst0tPTsWnTJvTs2bNQmfn06VP51PZ3y1I/ePAA\nEomE6zj9i7W1Nfbv3//RY86cOYNNmzbh6tWrZfqBgogqB3+xQ0TKKCsrCxoaGmW6hoaGBjIzM8sp\nEREpGpafRERUbpKSktCrVy9kZ2cjMTER5ubm2LhxI7p06YJ27dph+/btWLlyJTp37gxvb29oa2sD\nAEQiEWQyGXR0dJCVlQUtLS0AkBd2UVFRUFdXh7m5ufz4d2QyGVavXo2srCz5rvSWlpYKX5RqaGgg\nKioKAQEBUFVVhYmJCTp16gQVlbf/a09JScGIESOwbds2GBsbC5yWiIojLCwMDg4OSrmsChEpL11d\nXfnsntJ69eqVfLYREdF/sfwkIioBd3d3vHjxAsHBwUJHqZLq1auH3bt3IzIyEk+ePMHVq1exadMm\nXLlyBWvWrMH06dORlpYGY2NjLFu2DI0aNYKNjQ2aN28ONTU1iEQiNGnSBBcuXEBSUhLq1asH4O2m\nSA4ODrCxsfngfQ0MDBAbG4ugoCD5zvQ1a9aUF6HvStF3XwYGBtVydJVUKsWJEyfg5+eHixcvonnz\n5jh79ixycnIQFxeHp0+fYvz48fDw8MCoUaPg7u6Onj17Ch2biIohKSkJjo6OePjwofwXQEREyqBp\n06a4du0a0tPT5b8YL6kzZ87Azs6unJMRkaIQyd7NKSQiUgDu7u7Ytm0bRCKRfJp006ZN8dVXX2Hc\nuHHyUXFluX5Zy8/79+/D3Nwc4eHhaNWqVZnyVDd37txBXFwc/vnnH9y4cQPx8fG4f/8+Vq1ahQkT\nJkAsFiMqKgqurq7o1asXHB0dsXnzZpw5cwZ///03bG1ti3UfmUyGZ8+eIT4+HgkJCfJC9N1Xfn7+\ne4Xou6+6detWyWL0+fPncHJyQlZWFiZPnoxhw4a9N0UsIiICGzZswJ49e2BiYoKbN2+W+d95Iqoc\n3t7euH//PjZt2iR0FCKiSvf111+jW7dumDhxYqnO79SpE6ZPn47BgweXczIiUgQsP4lIobi7u+Px\n48fYsWMH8vPz8ezZM5w+fRpLly6FlZUVTp8+DXV19ffOy8vLQ40aNYp1/bKWn4mJibC0tMSVK1eU\nrvwsyn/XuTt06BBWrFiB+Ph4ODg4YNGiRWjRokW53S81NfWDpWh8fDwyMzM/OFrUysoK9erVE2Q6\n6rNnz9CpUycMHjwYS5Ys+WSGGzduoG/fvvjhhx8wfvz4SkpJRKUllUphbW2N3bt3w8HBQeg4RESV\n7syZM5gyZQpu3LhR4l9CX79+HX379kViYiJ/6UtEH8Tyk4gUSlHl5K1bt9CqVSv873//w48//ghz\nc3O4ubnhwYMHCAoKQq9evbBnzx7cuHED3333Hc6fPw91dXUMHDgQa9asgY6OTqHrt23bFr6+vsjM\nzMTXX3+NDRs2QFVVVX6/X375Bb/++iseP34Ma2trzJ49G8OHDwcAiMVi+RqXAPDFF1/g9OnTCA8P\nx7x58xAREYHc3FzY2dlh+fLlaNeuXSW9ewQAr1+/LrIYTU1Nhbm5+QeLUVNT0wr5wF1QUIBOnTrh\niy++gLe3d7HPi4+PR6dOnbB9+3ZOfSeq4k6fPo3p06fj2rVrVXLkORFRRZPJZPj888/RvXt3LFq0\nqNjnpaeno3PnznB3d8fUqVMrMCERVWf8tQgRKYWmTZvC0dERBw4cwI8//ggAWL16NX744QdcvXoV\nMpkMWVlZcHR0RLt27RAeHo4XL15gzJgxGD16NPbt2ye/1t9//w11dXWcPn0aSUlJcHd3x/fffw8f\nHx8AwLx58xAUFIQNGzbAxsYGFy9exNixY6Gvr48+ffogLCwMbdq0wcmTJ2FnZ4eaNWsCePvhbeTI\nkfD19QUArFu3Dv369UN8fLzCb95Tlejo6KBly5Zo2bLle69lZWXh7t278jL0+vXr8nVGk5OTYWpq\n+sFitGHDhvJ/ziV17Ngx5OXlYenSpSU6z8rKCr6+vli4cCHLT6Iqzt/fH2PGjGHxSURKSyQS4eDB\ng+jQoQNq1KiBH3744ZN/J6ampuLLL79EmzZtMGXKlEpKSkTVEUd+EpFC+di09Llz58LX1xcZGRkw\nNzeHnZ0dDh06JH998+bNmD17NpKSkuRrKYaGhqJr166Ij4+HhYUF3N3dcejQISQlJcmnz+/cuRNj\nxoxBamoqZDIZDAwMcOrUKXTs2FF+7enTpyMuLg6HDx8u9pqfMpkM9erVw4oVK+Dq6lpebxFVkJyc\nHNy7d++DI0YfPXoEExOT90pRS0tLWFhYfHAphnf6l1c2nAAAGpZJREFU9u2LIUOGYNSoUSXOlJ+f\nj4YNG+LIkSNo3rx5Wb49IqogL168gKWlJe7evQt9fX2h4xARCerJkyfo378/9PT0MHXqVPTr1w8S\niaTQMampqQgMDMTatWvh4uKCn3/+WZBliYio+uDITyJSGv9dV7J169aFXo+NjYWdnV2hTWQ6dOgA\nsViM6OhoWFhYAADs7OwKlVXt27dHbm4uEhISkJ2djezsbDg6Oha6dn5+PszNzT+a79mzZ/jhhx/w\n999/IyUlBQUFBcjOzsaDBw9K/T1T5VFVVUXjxo3RuHHj917Ly8vD/fv35WVoQkICzpw5g/j4eNy7\ndw+GhoYfHDEqFotx5coVHDhwoFSZVFRUMH78ePj5+XETFaIqaufOnejXrx+LTyIiAMbGxrhw4QL2\n7duHn376CVOmTMGAAQOgr6+PvLw8JCYm4vjx4xgwYAD27NnD5aGIqFhYfhKR0vh3gQkAmpqaxT73\nU9Nu3g2il0qlAIDDhw+jQYMGhY751IZKI0eOxLNnz7BmzRqYmZlBVVUV3bp1Q25ubrFzUtVUo0YN\neaH5XwUFBXj06FGhkaKXLl1CfHw8bt++jW7dun10ZOin9OvXDx4eHmWJT0QVRCaTYfPmzVi7dq3Q\nUYiIqgxVVVWMGDECI0aMQGRkJM6ePYu0tDRoa2uje/fu8PX1hYGBgdAxiagaYflJRErh5s2bOH78\nOBYsWFDkMU2aNEFgYCAyMzPlxej58+chk8nQpEkT+XE3btzAmzdv5IXUxYsXoaqqCktLSxQUFEBV\nVRWJiYno0qXLB+/zbu3HgoKCQs+fP38evr6+8lGjKSkpePLkSem/aaoWJBIJzMzMYGZmhu7duxd6\nzc/PD5GRkWW6vp6eHl6+fFmmaxBRxbhy5QrevHlT5P8viIiUXVHrsBMRlQQXxiAihZOTkyMvDq9f\nv45Vq1aha9eucHBwwIwZM4o8b/jw4dDQ0MDIkSNx8+ZNnD17FhMmTICzs3OhEaP5+fnw8PBAdHQ0\nTp06hblz52LcuHFQV1eHlpYWZs6ciZkzZyIwMBAJCQmIiorCpk2b4O/vDwAwMjKCuro6Tpw4gadP\nn+L169cAABsbG+zYsQMxMTG4cuUKhg0bVmgHeVI+6urqyMvLK9M1cnJy+O8RURXl7+8PDw8PrlVH\nREREVIH4SYuIFM6ff/4JExMTmJmZoUePHjh8+DAWLVqE0NBQ+WjND01jf1dIvn79Gm3btsWgQYPQ\nsWNHbNmypdBxXbp0QdOmTdG1a1c4OzujR48e+Pnnn+WvL168GAsXLsTKlSvRrFkz9OrVC0FBQfI1\nPyUSCXx9feHv74969erByckJABAQEICMjAy0bt0arq6uGD16NBo2bFhB7xJVB8bGxoiPjy/TNeLj\n41G3bt1ySkRE5SUjIwP79u2Dm5ub0FGIiIiIFBp3eyciIqqicnNzYWZmhtOnTxdaeqEknJyc0Ldv\nX4wbN66c0xFRWQQEBOCPP/5AcHCw0FGIiIiIFBpHfhIREVVRNWvWxJgxY7Bhw4ZSnf/gwQOcPXsW\nrq6u5ZyMiMrK398fY8aMEToGERERkcJj+UlERFSFjRs3Djt37sSdO3dKdJ5MJsOPP/6Ib775Blpa\nWhWUjohK49atW0hMTETfvn2FjkJEJKiUlBT06tULWlpakEgkZbqWu7s7Bg4cWE7JiEiRsPwkIiKq\nwho0aICffvoJffv2xcOHD4t1jkwmg5eXFyIjI7FkyZIKTkhEJbVlyxa4ublBRUVF6ChERBXK3d0d\nYrEYEokEYrFY/tWhQwcAwPLly5GcnIzr16/jyZMnZbrX2rVrsWPHjvKITUQKhp+4iIiIqrixY8ci\nPT0dHTp0wMaNG9GnT58id4d+9OgRFixYgIiICBw7dgza2tqVnJaIPiYnJwc7duzAhQsXhI5CRFQp\nevbsiR07duDf243UrFkTAJCQkAB7e3tYWFiU+voFBQWQSCT8zENEReLITyIiomrgu+++w/r16zF/\n/nxYW1tjxYoVuHnzJpKSkpCQkIATJ07A2dkZtra20NDQwNmzZ2FsbCx0bCL6j+DgYDRr1gxWVlZC\nRyEiqhSqqqowNDSEkZGR/KtWrVowNzdHcHAwtm3bBolEAg8PDwDAw4cPMWjQIOjo6EBHRwfOzs5I\nSkqSX8/Lywu2trbYtm0brKysoKamhqysLLi5ub037f2XX36BlZUVNDQ00Lx5c+zcubNSv3ciqho4\n8pOIiKiaGDhwIAYMGICwsDD4+flhy5YtePnyJdTU1GBiYoIRI0Zg69atHPlAVIVxoyMiorfCw8Mx\nbNgw1K5dG2vXroWamhpkMhkGDhwITU1NhIaGQiaTYfLkyRg0aBDCwsLk5967dw+7du3C/v37UbNm\nTaiqqkIkEhW6/rx58xAUFIQNGzbAxsYGFy9exNixY6Gvr48+ffpU9rdLRAJi+UlERFSNiEQitG3b\nFm3bthU6ChGVUGJiIq5evYpDhw4JHYWIqNL8dxkekUiEyZMnY9myZVBVVYW6ujoMDQ0BAKdOncLN\nmzdx9+5dNGjQAADw+++/w8rKCqdPn0a3bt0AAHl5edixYwcMDAw+eM+srCysXr0ap06dQseOHQEA\nZmZmuHz5MtavX8/yk0jJsPwkIiIiIqoEgYGBcHV1hZqamtBRiIgqTZcuXbB58+ZCa37WqlXrg8fG\nxsbCxMREXnwCgLm5OUxMTBAdHS0vP+vXr19k8QkA0dHRyM7OhqOjY6Hn8/PzYW5uXpZvh4iqIZaf\nREREREQVrKCgAAEBAThy5IjQUYiIKpWGhka5FI7/ntauqan50WOlUikA4PDhw4WKVACoUaNGmbMQ\nUfXC8pOIiIiIqIKdPHkSxsbGsLOzEzoKEVGV1aRJEzx+/BgPHjyAqakpAODu3bt4/PgxmjZtWuzr\nfPbZZ1BVVUViYiK6dOlSUXGJqJpg+UlEREREVMG40RERKaucnBykpKQUek4ikXxw2nqPHj1ga2uL\n4cOHw8fHBzKZDFOnTkXr1q3xxRdfFPueWlpamDlzJmbOnAmpVIrOnTsjIyMDly5dgkQi4d/HREpG\nLHQAIiIiKh0vLy+OIiOqBlJSUvDXX39h6NChQkchIqp0f/75J0xMTORfxsbGaNWqVZHHBwcHw9DQ\nEN26dUP37t1hYmKCgwcPlvi+ixcvxsKFC7Fy5Uo0a9YMvXr1QlBQENf8JFJCItm/Vx0mIiKicvf0\n6VMsXboUR44cwaNHj2BoaAg7Ozt4enqWabfRrKws5OTkQE9PrxzTElF5W758OWJiYhAQECB0FCIi\nIiKlw/KTiIioAt2/fx8dOnSArq4uFi9eDDs7O0ilUvz5559Yvnw5EhMT3zsnLy+Pi/ETKQiZTIbG\njRsjICAAHTt2FDoOERERkdLhtHciIqIKNHHiRIjFYly9ehXOzs6wtrZGo0aNMHnyZFy/fh0AIBaL\n4efnB2dnZ2hpaWHevHmQSqUYM2YMLCwsoKGhARsbGyxfvrzQtb28vGBrayt/LJPJsHjxYpiamkJN\nTQ12dnYIDg6Wv96xY0fMmjWr0DXS09OhoaGBP/74AwCwc+dOtGnTBjo6OqhTpw5cXFzw+PHjinp7\niBTeuXPnIBaL0aFDB6GjEBERESkllp9EREQVJC0tDSdOnICnpyfU1dXfe11HR0f+50WLFqFfv364\nefMmJk+eDKlUivr162P//v2IjY2Ft7c3li1bhsDAwELXEIlE8j/7+Phg5cqVWL58OW7evIlBgwZh\n8ODB8pJ1xIgR2L17d6Hz9+/fD3V1dfTr1w/A21GnixYtwvXr13HkyBG8ePECrq6u5faeECmbdxsd\n/fu/VSIiIiKqPJz2TkREVEGuXLmCtm3b4uDBg/jyyy+LPE4sFmPq1Knw8fH56PXmzp2Lq1ev4uTJ\nkwDejvw8cOCAvNysX78+Jk6ciHnz5snP6dq1Kxo0aIDt27cjNTUVxsbGOH78OLp27QoA6NmzJywt\nLbFx48YP3jM2NhafffYZHj16BBMTkxJ9/0TK7uXLl2jYsCHu3LkDIyMjoeMQERERKSWO/CQiIqog\nJfn9or29/XvPbdy4EQ4ODjAyMoK2tjZWr16NBw8efPD89PR0PH78+L2ptZ9//jmio6MBAPr6+nB0\ndMTOnTsBAI8fP8aZM2fwzTffyI+PiIiAk5MTGjZsCB0dHTg4OEAkEhV5XyIq2q5du9CzZ08Wn0RE\nREQCYvlJRERUQaytrSESiRATE/PJYzU1NQs93rNnD6ZPnw4PDw+cPHkSUVFRmDRpEnJzc0uc49/T\nbUeMGIEDBw4gNzcXu3fvhqmpqXwTlqysLDg6OkJLSws7duxAeHg4jh8/DplMVqr7Eim7d1PeiYiI\niEg4LD+JiIgqiJ6eHnr37o1169YhKyvrvddfvXpV5Lnnz59Hu3btMHHiRLRo0QIWFhaIj48v8nht\nbW2YmJjg/PnzhZ4/d+4cPvvsM/njgQMHAgBCQkLw+++/F1rPMzY2Fi9evMDSpUvx+eefw8bGBikp\nKVyrkKgUIiMj8fz5c/To0UPoKERERERKjeUnERFRBVq/fj1kMhlat26N/fv3486dO7h9+zY2bNiA\n5s2bF3mejY0NIiIicPz4ccTHx2Px4sU4e/bsR+81a9YsrFixArt370ZcXBwWLFiAc+fOFdrhXVVV\nFYMHD8aSJUsQGRmJESNGyF8zNTWFqqoqfH19ce/ePRw5cgQLFiwo+5tApIS2bNkCDw8PSCQSoaMQ\nERERKTUVoQMQEREpMnNzc0RERMDb2xtz5sxBUlISateujWbNmsk3OPrQyMrx48cjKioKw4cPh0wm\ng7OzM2bOnImAgIAi7zV16lRkZGTg+++/R0pKCho1aoSgoCA0a9as0HEjRozA1q1b0apVKzRu3Fj+\nvIGBAbZt24b//e9/8PPzg52dHVavXg1HR8dyejeIlMObN2+wa9cuREZGCh2FiIiISOlxt3ciIiIi\nonK0Y8cO7Ny5E8eOHRM6ChEREZHS47R3IiIiIqJyxI2OiIiIiKoOjvwkIiIiIiond+7cQadOnfDw\n4UPUrFlT6DhERERESo9rfhIRERERlUB+fj4OHz6MTZs24caNG3j16hU0NTXRsGFD1KpVC0OHDmXx\nSURERFRFcNo7EREREVExyGQyrFu3DhYWFvjll18wfPhwXLhwAY8ePUJkZCS8vLwglUqxfft2fPfd\nd8jOzhY6MhEREZHS47R3IiIiIqJPkEqlmDBhAsLDw7Flyxa0bNmyyGMfPnyIGTNm4PHjxzh8+DBq\n1apViUmJiIiI6N9YfhIRERERfcKMGTNw5coVHD16FFpaWp88XiqVYsqUKYiOjsbx48ehqqpaCSmJ\niIiI6L847Z2IiIiI6CP++ecfBAUF4dChQ8UqPgFALBZj7dq10NDQwNq1ays4IREREREVhSM/iYiI\niIg+YujQoejQoQOmTp1a4nPDwsIwdOhQxMfHQyzmuAMiIiKiysZPYERERERERUhOTsaJEycwcuTI\nUp3v4OAAfX19nDhxopyTEREREVFxsPwkIiIiIipCUFAQBg4cWOpNi0QiEUaPHo1du3aVczIiIiIi\nKg6Wn0RERERERUhOToa5uXmZrmFubo7k5ORySkREREREJcHyk4iIiIioCLm5uahZs2aZrlGzZk3k\n5uaWUyIiIiIiKgmWn0RERERERdDT00NqamqZrpGamlrqafNEREREVDYsP4mIiIiIitCxY0eEhIRA\nJpOV+hohISH4/PPPyzEVERERERUXy08iIiIioiJ07NgRqqqqOH36dKnOf/78OYKDg+Hu7l7OyYiI\niIioOFh+EhEREREVQSQSYdKkSVi7dm2pzt+8eTOcnJxQu3btck5GRERERMUhkpVlDg8RERERkYLL\nyMhAmzZtMH78eHz77bfFPu/s2bP46quvcPbsWTRu3LgCExIRERFRUVSEDkBEREREVJVpaWnh6NGj\n6Ny5M/Ly8jBjxgyIRKKPnnPs2DGMHDkSu3btYvFJREREJCCO/CQiIiIiKoZHjx5hwIABqFGjBiZN\nmoQhQ4ZAXV1d/rpUKsWJEyfg5+eH8PBwHDhwAB06dBAwMRERERGx/CQiIiIiKqaCggIcP34cfn5+\nCAsLg729PXR1dZGZmYlbt25BX18fkydPxtChQ6GhoSF0XCIiIiKlx/KTiIiIiKgUEhMTER0djdev\nX0NTUxNmZmawtbX95JR4IiIiIqo8LD+JiIiIiIiIiIhIIYmFDkBERERERERERERUEVh+EhERERER\nERERkUJi+UlEREREREREREQKieUnEREREdH/Z25ujlWrVlXKvUJDQyGRSJCamlop9yMiIiJSRtzw\niIiIiIiUwtOnT7Fs2TIcOXIEDx8+hK6uLqysrDB06FC4u7tDU1MTL168gKamJtTU1Co8T35+PlJT\nU2FkZFTh9yIiIiJSVipCByAiIiIiqmj3799Hhw4dUKtWLSxduhS2trZQV1fHrVu34O/vDwMDAwwd\nOhS1a9cu873y8vJQo0aNTx6noqLC4pOIiIiognHaOxEREREpvAkTJkBFRQVXr17F119/jcaNG8PM\nzAx9+/ZFUFAQhg4dCuD9ae9isRhBQUGFrvWhY/z8/ODs7AwtLS3MmzcPAHDkyBE0btwY6urq6Nat\nG/bu3QuxWIwHDx4AeDvtXSwWy6e9b926Fdra2oXu9d9jiIiIiKhkWH4SERERkUJLTU3FyZMn4enp\nWWHT2RctWoR+/frh5s2bmDx5Mh4+fAhnZ2cMGDAA169fh6enJ2bPng2RSFTovH8/FolE773+32OI\niIiIqGRYfhIRERGRQouPj4dMJoONjU2h5xs0aABtbW1oa2tj0qRJZbrH0KFD4eHhgYYNG8LMzAwb\nNmyApaUlli9fDmtrawwePBjjx48v0z2IiIiIqORYfhIRERGRUjp37hyioqLQpk0bZGdnl+la9vb2\nhR7HxsbCwcGh0HNt27Yt0z2IiIiIqORYfhIRERGRQrOysoJIJEJsbGyh583MzGBhYQENDY0izxWJ\nRJDJZIWey8vLe+84TU3NMucUi8XFuhcRERERFR/LTyIiIiJSaPr6+ujVqxfWrVuHzMzMEp1raGiI\nJ0+eyB+npKQUelyUxo0bIzw8vNBzly9f/uS9srKykJGRIX8uMjKyRHmJiIiIqDCWn0RERESk8Pz8\n/CCVStG6dWvs3r0bMTExiIuLw65duxAVFQUVFZUPntetWzesX78eV69eRWRkJNzd3aGurv7J+02Y\nMAEJCQmYNWsW7ty5g6CgIPz6668ACm9g9O+Rnm3btoWmpibmzp2LhIQEHDhwABs2bCjjd05ERESk\n3Fh+EhEREZHCMzc3R2RkJBwdHbFgwQK0atUK9vb28PHxweTJk7F69WoA7++svnLlSlhYWKBr165w\ncXHB2LFjYWRkVOiYD+3GbmpqigMHDiAkJAQtWrTAmjVr8OOPPwJAoR3n/32unp4edu7ciVOnTsHO\nzg7+/v5YsmRJub0HRERERMpIJPvvwkJERERERFTu1qxZg4ULFyItLU3oKERERERK48Pze4iIiIiI\nqEz8/Pzg4OAAQ0NDXLx4EUuWLIG7u7vQsYiIiIiUCstPIiIiIqIKEB8fD29vb6SmpqJ+/fqYNGkS\n5s+fL3QsIiIiIqXCae9ERERERERERESkkLjhERERERERERERESkklp9ERERERERERESkkFh+EhER\nERERERERkUJi+UlEREREREREREQKieUnERERERHR/2vHDmQAAAAABvlb3+MrjACAJfkJAAAAACzJ\nTwAAAABgSX4CAAAAAEvyEwAAAABYkp8AAAAAwJL8BAAAAACW5CcAAAAAsCQ/AQAAAIAl+QkAAAAA\nLMlPAAAAAGBJfgIAAAAAS/ITAAAAAFiSnwAAAADAkvwEAAAAAJbkJwAAAACwJD8BAAAAgCX5CQAA\nAAAsyU8AAAAAYEl+AgAAAABL8hMAAAAAWJKfAAAAAMCS/AQAAAAAluQnAAAAALAkPwEAAACAJfkJ\nAAAAACzJTwAAAABgSX4CAAAAAEvyEwAAAABYkp8AAAAAwJL8BAAAAACW5CcAAAAAsCQ/AQAAAIAl\n+QkAAAAALMlPAAAAAGBJfgIAAAAAS/ITAAAAAFiSnwAAAADAkvwEAAAAAJbkJwAAAACwJD8BAAAA\ngCX5CQAAAAAsyU8AAAAAYEl+AgAAAABL8hMAAAAAWJKfAAAAAMCS/AQAAAAAluQnAAAAALAkPwEA\nAACAJfkJAAAAACzJTwAAAABgSX4CAAAAAEvyEwAAAABYkp8AAAAAwJL8BAAAAACW5CcAAAAAsCQ/\nAQAAAIAl+QkAAAAALMlPAAAAAGBJfgIAAAAAS/ITAAAAAFiSnwAAAADAkvwEAAAAAJbkJwAAAACw\nJD8BAAAAgCX5CQAAAAAsyU8AAAAAYEl+AgAAAABL8hMAAAAAWJKfAAAAAMCS/AQAAAAAluQnAAAA\nALAkPwEAAACAJfkJAAAAACzJTwAAAABgSX4CAAAAAEvyEwAAAABYkp8AAAAAwJL8BAAAAACW5CcA\nAAAAsCQ/AQAAAIAl+QkAAAAALMlPAAAAAGBJfgIAAAAAS/ITAAAAAFiSnwAAAADAkvwEAAAAAJbk\nJwAAAACwJD8BAAAAgCX5CQAAAAAsyU8AAAAAYEl+AgAAAABL8hMAAAAAWJKfAAAAAMCS/AQAAAAA\nluQnAAAAALAkPwEAAACAJfkJAAAAACzJTwAAAABgSX4CAAAAAEvyEwAAAABYkp8AAAAAwJL8BAAA\nAACW5CcAAAAAsCQ/AQAAAIAl+QkAAAAALMlPAAAAAGBJfgIAAAAAS/ITAAAAAFiSnwAAAADAkvwE\nAAAAAJbkJwAAAACwJD8BAAAAgCX5CQAAAAAsyU8AAAAAYEl+AgAAAABL8hMAAAAAWJKfAAAAAMCS\n/AQAAAAAluQnAAAAALAkPwEAAACAJfkJAAAAACzJTwAAAABgSX4CAAAAAEvyEwAAAABYkp8AAAAA\nwJL8BAAAAACW5CcAAAAAsCQ/AQAAAIAl+QkAAAAALMlPAAAAAGBJfgIAAAAAS/ITAAAAAFiSnwAA\nAADAUo4QIfF0L7soAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10700ce10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_map(node_colors)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def tree_search(problem, frontier):\n",
    "    \"\"\"Search through the successors of a problem to find a goal.\n",
    "    The argument frontier should be an empty queue.\n",
    "    Don't worry about repeated paths to a state. [Figure 3.7]\"\"\"\n",
    "    \n",
    "    global iterations\n",
    "    iterations = 0\n",
    "    global all_node_colors\n",
    "    all_node_colors = []\n",
    "    \n",
    "    frontier.append(Node(problem.initial))\n",
    "\n",
    "    frontier_list = frontier.__dict__[\"A\"][frontier.__dict__[\"start\"]:]    \n",
    "    for n in frontier_list:\n",
    "        node_colors[n.state] = \"blue\"\n",
    "        iterations += 1\n",
    "        all_node_colors.append(dict(node_colors))\n",
    "    \n",
    "      \n",
    "    while frontier:\n",
    "        node = frontier.pop()\n",
    "        \n",
    "        node_colors[node.state] = \"red\"\n",
    "        \n",
    "        iterations += 1\n",
    "        all_node_colors.append(dict(node_colors))\n",
    "        \n",
    "        if problem.goal_test(node.state):\n",
    "            node_colors[node.state] = \"green\"\n",
    "            \n",
    "            iterations += 1\n",
    "            all_node_colors.append(dict(node_colors))\n",
    "            \n",
    "            return node\n",
    "        frontier.extend(node.expand(problem))\n",
    "\n",
    "        frontier_list = frontier.__dict__[\"A\"][frontier.__dict__[\"start\"]:]        \n",
    "        for n in frontier_list:\n",
    "            # modified node color category to 'is_frontier'\n",
    "            node_colors[n.state] = \"blue\"\n",
    "            \n",
    "            iterations += 1\n",
    "            all_node_colors.append(dict(node_colors))\n",
    "\n",
    "        # modify node color category to 'already_explored'\n",
    "        node_colors[node.state] = \"gray\"\n",
    "        \n",
    "        iterations += 1\n",
    "        all_node_colors.append(dict(node_colors))\n",
    "        \n",
    "    return None\n",
    "\n",
    "def breadth_first_tree_search(problem):\n",
    "    \"Search the shallowest nodes in the search tree first.\"\n",
    "    return tree_search(problem, FIFOQueue())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Sibiu', 'Fagaras']"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "breadth_first_tree_search(romania_problem).solution()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "83\n",
      "83\n"
     ]
    }
   ],
   "source": [
    "print(len(all_node_colors))\n",
    "print(iterations)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from ipywidgets import interact\n",
    "import ipywidgets as widgets\n",
    "from IPython.display import display\n",
    "\n",
    "def slider_callback(iteration):\n",
    "    show_map(all_node_colors[iteration])\n",
    "\n",
    "def visualize_callback(Visualize):\n",
    "    if Visualize is True:\n",
    "        for i in range(slider.max + 1):\n",
    "            slider.value = i\n",
    "#             time.sleep(.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABT8AAAPJCAYAAADUK1wEAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nYT/pv7Y3AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10900c0f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "slider = widgets.IntSlider(min=0, max=iterations-1, step=1, value=0)\n",
    "w = widgets.interactive(slider_callback, iteration = slider)\n",
    "display(w)\n",
    "\n",
    "button = widgets.ToggleButton(desctiption = \"Visualize\", value = False)\n",
    "a = widgets.interactive(visualize_callback, Visualize = button)\n",
    "display(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.5.1"
  },
  "widgets": {
   "state": {
    "00a017b52bdf4b9ba44bfd439576c502": {
     "views": []
    },
    "0110891787e744f7b7e7bb869b7c811d": {
     "views": []
    },
    "028b36de20cf414fa15ecb9e96c2fede": {
     "views": []
    },
    "03d2cf1d8a6f4c2895749174929e491a": {
     "views": []
    },
    "0816711892aa474590a633b9b6dbabfe": {
     "views": []
    },
    "081abfe146f749e0b26f3af9e4d90e2c": {
     "views": []
    },
    "08eb9ee40f9c4c618cf5ec4e488c5bdb": {
     "views": []
    },
    "0fc05cebf88a4f93bcd88a2274f6de16": {
     "views": []
    },
    "10c29a41c87b4aa38e5376ca1845cba7": {
     "views": []
    },
    "1105d7a1fcf64222ac3885d6ef20c475": {
     "views": []
    },
    "11c4c53376784a61a7148ab8b968f75f": {
     "views": []
    },
    "13b68c1678ff49b183c9364745d3c0e1": {
     "views": []
    },
    "14dc0597f31345c68ccb231f0b4b7b9e": {
     "views": []
    },
    "1711f718688342418bba59903c90ecab": {
     "views": []
    },
    "1acd0f2b6c3b4417b9bde04366fe3605": {
     "views": []
    },
    "1b22c36ee2804950a1ddc14d6ece6d5c": {
     "views": []
    },
    "1b4adf28a5d84d8e80e850618460a0d9": {
     "views": []
    },
    "1e3b504ed12f46dda66123f6d70ab71a": {
     "views": []
    },
    "1ee7d435b6c14c408257ec552788d838": {
     "views": []
    },
    "218559e8333840db93ed898e22f88c14": {
     "views": []
    },
    "2267c6f6e86c448d8fce308c51bfa69b": {
     "views": [
      {
       "cell_index": 35
      }
     ]
    },
    "23d8681bdfee421ea9276e1357442a72": {
     "views": []
    },
    "290708b60bbf46c89e9f7ea6d4acfa66": {
     "views": []
    },
    "291a6ab8c86041ca96178d5c5b1eb9b9": {
     "views": [
      {
       "cell_index": 35
      }
     ]
    },
    "2cefb00bdda04a14abd1ef6345fcface": {
     "views": []
    },
    "2d6c791418bf44208e8625f431fac6ed": {
     "views": []
    },
    "2e1c9348b25747fa80e6179f4501d8b4": {
     "views": []
    },
    "2e55e821ef36452fa1980ccec8cc3afa": {
     "views": []
    },
    "2f5449f0df6945e8b347292bffa05d91": {
     "views": []
    },
    "30c995d7a9364f7999f2695e079f43c4": {
     "views": []
    },
    "362daa22585f426ca38cd45706357902": {
     "views": []
    },
    "3914a2ae9cba4c2b80e1eef1334038b2": {
     "views": []
    },
    "3b2678294a72473bb87a648a97dddf8c": {
     "views": []
    },
    "4006328668e844c2aa6ba501e4eafc43": {
     "views": []
    },
    "41d5a1b3011f429a82b3def197b69b43": {
     "views": []
    },
    "433fdaacc5e64eddace3422a116df7ae": {
     "views": []
    },
    "444818dc85334ba09404f7184597465c": {
     "views": []
    },
    "458ff2519bce4e569c1239096a66441c": {
     "views": []
    },
    "4627169fe555463abe7eb70817d41286": {
     "views": []
    },
    "48b349fafbdd454da755ea180d091d6c": {
     "views": []
    },
    "4a7622fd6cf64a2fa60e2f628ef69313": {
     "views": []
    },
    "4c7302bba1084d0c8a0fcc88e60e71f0": {
     "views": []
    },
    "4c944a26717b4a40a6f991d25000c7ff": {
     "views": [
      {
       "cell_index": 35
      }
     ]
    },
    "4ca50bdbbf8246be821796596eadcdae": {
     "views": []
    },
    "4db3a7a29242414db867f56be354ed09": {
     "views": []
    },
    "5171902cf77242629be3f8562909aba0": {
     "views": []
    },
    "51b2abc5e6324099a048482ac2359d20": {
     "views": []
    },
    "5502c62a94784842bb1532511af9943b": {
     "views": []
    },
    "55f561a4f82746f88a39858a3eaa4756": {
     "views": []
    },
    "5a6cc798ddaf4a868a30aee3e19bda30": {
     "views": []
    },
    "5be980fec8c546e29ca85b5d0e1726d8": {
     "views": []
    },
    "5f4e0c84a041435a9db38629828ea95c": {
     "views": []
    },
    "69ffd63c20224ed69256ee8db864df2c": {
     "views": []
    },
    "6aacdc56d13f46f2be5c458ec56bcb9a": {
     "views": []
    },
    "6d16f27a256e456d91a5b357c8cac78e": {
     "views": []
    },
    "6dbaa24b4d75446dbc08a04ced8d7f33": {
     "views": []
    },
    "704323566cf44f0cbc58b32f959e889c": {
     "views": []
    },
    "707defbcba0d4be49b7ee7afa7db315c": {
     "views": []
    },
    "760ca8f479484139a7807dd4f3535020": {
     "views": [
      {
       "cell_index": 35
      }
     ]
    },
    "776eeb24f7364033823c76c58aedea0e": {
     "views": []
    },
    "77b74195cfc3413a8fbbf993b11feac3": {
     "views": []
    },
    "7c19e16e8d0a402ca8766e7311499caf": {
     "views": []
    },
    "7f62c9708830495b97863d63d8902594": {
     "views": []
    },
    "8487ebba98f64a3382c97f2842ccb2ba": {
     "views": []
    },
    "88cd8575c9bd4c87aa3b079c115450de": {
     "views": []
    },
    "8a47fba3dc884f4dbdb40e27e786edc5": {
     "views": []
    },
    "9349e8ad8a4c4af089beb2d90fe68cb2": {
     "views": []
    },
    "93a67533614048d5ab0630c62385ed14": {
     "views": []
    },
    "9503309f5266451b8cf29e8f99773f45": {
     "views": []
    },
    "95d081f521194b4a80136491b96f9b08": {
     "views": []
    },
    "96720ef4a5514ef998563f7030c43fa5": {
     "views": []
    },
    "99fd01cdb4e34781b2638576ee9d2150": {
     "views": []
    },
    "9b14d1da55844a63bc7fc168eddf1b2e": {
     "views": []
    },
    "9caa0f3649c24df5ab0cc7827b1c48a7": {
     "views": []
    },
    "9d1d680912cb4e8aac8432594accde4d": {
     "views": []
    },
    "9eaa2e9d0db940959cc22f24d8aaf893": {
     "views": []
    },
    "a60b2304320449b8a843fd959239278e": {
     "views": []
    },
    "aa48cefa2f594337aa5eac526837a3b3": {
     "views": []
    },
    "ab2405392ee840108dce3212847de549": {
     "views": []
    },
    "ad00f7915c264eebbd9d596b49d0e2f2": {
     "views": []
    },
    "ae489e6ff300473bac51ae21d8e27f2e": {
     "views": []
    },
    "b12234b10956400b917b27c92e40ab23": {
     "views": []
    },
    "b1779b960dda4891b754f892c7a8918d": {
     "views": []
    },
    "b1a066c23084466b836f723e68c693eb": {
     "views": []
    },
    "b306706dbddb44e6a18c40790bc6b946": {
     "views": []
    },
    "bdd180644c96481bacc6c55fcc17db2f": {
     "views": []
    },
    "bf30cf0d758a4d69aaf68c8225caf27b": {
     "views": []
    },
    "c1466a21b90747ec8c9db7b94d5fbf88": {
     "views": []
    },
    "c4190cdc403945b6b69daa0c1607c405": {
     "views": []
    },
    "c64117c7ab0f4202b61ed2fecc4229b5": {
     "views": []
    },
    "c7c5e18c298644b29b1cca1bb56bf66b": {
     "views": []
    },
    "c878afec3cbc4167a5c967dcc285ebc2": {
     "views": []
    },
    "c9112ec968be407084d4d00b7f047e3a": {
     "views": []
    },
    "c9a9fe033de948ee96f0db29ab88fa96": {
     "views": []
    },
    "c9e06a0311c34eaa95a480dfa62e99bd": {
     "views": []
    },
    "c9fc2a5f44674ffca17d5f575b68d588": {
     "views": []
    },
    "ca1ff15cd3054848acf765a8a67c92b9": {
     "views": []
    },
    "cd1a27eae7204f1594e93ef6f605c1fd": {
     "views": []
    },
    "d277fa4084444838af334b0d90bab0c8": {
     "views": []
    },
    "d35b2c22764547f6b0dfac5882d30183": {
     "views": []
    },
    "d49199e8022445f19644ea577aed0d61": {
     "views": []
    },
    "d4ddc34ca6e348d3892ca53e6fca5aa0": {
     "views": []
    },
    "d5be8e07d816403cb72c4c829014ce28": {
     "views": []
    },
    "d81e5de4821244449cfbea657f633154": {
     "views": []
    },
    "d8ff9287adeb48b196e4323bf2a2ed78": {
     "views": []
    },
    "db4547b336f04c4c8cc4bcd7ff324bb2": {
     "views": []
    },
    "dc717830d9e5407383fc2795466ea4e8": {
     "views": []
    },
    "e07d8e6420744c8cbe838b31fda28814": {
     "views": []
    },
    "e2250c5b95814b33899b4fc0943ff44e": {
     "views": []
    },
    "e2eb609e92fe4d508391eb0246ce7ce9": {
     "views": []
    },
    "e307de353a2c429b80062e9246bad753": {
     "views": []
    },
    "e6a9426d578d4c848704de6884a4585a": {
     "views": []
    },
    "eb176ddaa58a4c3fbb6599a1b8c94348": {
     "views": []
    },
    "eb25272d260f4cf98f8e0fb63a65e16d": {
     "views": []
    },
    "ebfb77d48cf04732bd1475e0dc6772f6": {
     "views": []
    },
    "f01da5738d0f4ab6972a0616296358f2": {
     "views": []
    },
    "f1adcfd763934d128e7a95dc9956f33d": {
     "views": []
    },
    "f2c3f0513d9d4634bfcd11ab02d8f90b": {
     "views": []
    },
    "f443544fac544c8f89cc6d2b3ab53cc4": {
     "views": []
    },
    "f657d42fe10a468f84b0c8237a11a18e": {
     "views": []
    },
    "f7c778d6ce52468eaf54dabf3d0aa395": {
     "views": []
    },
    "f85f0bad3748428db198fd579717f35b": {
     "views": []
    },
    "fc5bf1bb183445bab2d512ccbee0be37": {
     "views": []
    },
    "fd087cde55544ddea3dbacb22191c707": {
     "views": []
    },
    "ff818912a24a4517a8f34ea8a4614423": {
     "views": []
    },
    "fff756571d314c5f9c4070fa1ff66ace": {
     "views": []
    }
   },
   "version": "1.1.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}