TempNet_03_measures.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Temporal Networks v2.0 #"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import RandTempNet.utils as tnu\n",
    "import RandTempNet.measures as tnm\n",
    "import numpy as np\n",
    "\n",
    "tij_data = tnu.read_tij(\"./data/tij.dat\")\n",
    "tijtau_data = tnu.read_tijtau(\"./data/tijtau.dat\")\n",
    "seq_data = tnu.read_snapshot_sequence(\"./data/timeset.dat\")\n",
    "lks_data = tnu.read_link_timeline(\"./data/lks.dat\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Measures ##\n",
    "The `measures` module of the library contains functions to calculate standard measures for temporal networks.\n",
    "\n",
    "Each function uses the data representation which is the most suitable for the analysis it is performing as input. This is to ensure that all necessary data conversions are transparent for the user and are not hidden within the functions.\n",
    "### `degrees(list_lk)` ###\n",
    "This function takes a list of `link()` objects as input, and returns a dictionary where keys are the nodes of the network and the values are the degrees of the nodes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{513: 2, 771: 6, 134: 6, 778: 6, 267: 8, 268: 2, 271: 6, 15: 4, 17: 8, 272: 1}\n"
     ]
    }
   ],
   "source": [
    "deg = tnm.degrees(lks_data.links())\n",
    "print({n: deg[n] for n in list(deg)[:10]})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### `activity_timeline(seq_data)` ###\n",
    "This function takes a `snapshot_sequence()` object and returns a list containing the number of contacts occurring at each time step."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "timeline = tnm.activity_timeline(seq_data)\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "fig = plt.figure(figsize=(8, 2))\n",
    "nT = len(timeline)\n",
    "plt.plot(range(nT), timeline, \"k-\")\n",
    "plt.xlim((0, nT))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### `number_of_contacts(lks_data)` ###\n",
    "This function takes a `link_timeline()` object as input and returns a dictionary where keys are `link()` objects and values are the number of contacts that occur on these links. A contact is defined as a continuous activation of a link during time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{(185, 778): 1, (311, 496): 16, (448, 826): 1, (150, 196): 1, (95, 118): 1, (222, 223): 1, (119, 762): 1, (50, 771): 2, (196, 223): 2, (494, 765): 3}\n"
     ]
    }
   ],
   "source": [
    "numcont = tnm.number_of_contacts(lks_data)\n",
    "print({lk.display(): numcont[lk] for lk in list(numcont.keys())[:10]})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### `weights(lks_data)` ###\n",
    "This function takes a `link_timeline()` object as input and returns a dictionary where keys are `link()` objects and values are the weight of these links, defined as the total activation duration between two nodes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{(185, 778): 1, (311, 496): 30, (448, 826): 1, (150, 196): 1, (95, 118): 6, (222, 223): 2, (119, 762): 1, (50, 771): 3, (196, 223): 3, (494, 765): 4}\n"
     ]
    }
   ],
   "source": [
    "w = tnm.weights(lks_data)\n",
    "print({lk.display(): w[lk] for lk in list(w.keys())[:10]})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### `contact_durations(lks_data)` ###\n",
    "This function takes a `link_timeline()` object and returns a dictionary where keys are `link()` objects and values are the list of contact durations of these links."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{(185, 778): [1], (311, 496): [3, 3, 3, 1, 1, 1, 1, 2, 2, 2, 1, 1, 1, 1, 1, 6], (448, 826): [1], (150, 196): [1], (95, 118): [6], (222, 223): [2], (119, 762): [1], (50, 771): [2, 1], (196, 223): [2, 1], (494, 765): [2, 1, 1]}\n"
     ]
    }
   ],
   "source": [
    "tau = tnm.contact_durations(lks_data)\n",
    "print({lk.display(): tau[lk] for lk in list(tau.keys())[:10]})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### `intercontact_durations(lks_data)` ###\n",
    "This function takes a `link_timeline()` object and returns a dictionary where keys are `link()` objects and values are the list of intercontact durations of these links."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{(185, 778): [], (311, 496): [103, 423, 8, 56, 7, 4, 11, 2, 13, 1, 11, 3, 7, 3, 1], (448, 826): [], (150, 196): [], (95, 118): [], (222, 223): [], (119, 762): [], (50, 771): [375], (196, 223): [558], (494, 765): [4, 82]}\n"
     ]
    }
   ],
   "source": [
    "dtau = tnm.intercontact_durations(lks_data)\n",
    "print({lk.display(): dtau[lk] for lk in list(dtau.keys())[:10]})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### `strengths(lks_data)` ###\n",
    "This function takes a `link_timeline()` object and returns a dictionary with nodes as keys and their strength as values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{513: 5, 771: 11, 134: 11, 778: 60, 267: 110, 268: 23, 15: 22, 271: 48, 17: 30, 272: 1}\n"
     ]
    }
   ],
   "source": [
    "s = tnm.strengths(lks_data)\n",
    "print({n: s[n] for n in list(s.keys())[:10]})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### `node_timelines(tij_data,dt)` ###\n",
    "This function takes a `tij()` object and returns a dictionary with nodes as keys and their timeline of activation as values. It necessitates to specify the value `dt` of the time step, since the assumption is that contiguous activation events of a node form a full node activation. Note that this structure is not a proper representation of the data, as all information about links is lost. This function is used to compute the following three analyses, namely node activities, node activation durations, and node inter-activation durations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{513: [(2102, 1), (2109, 1), (2133, 1), (2144, 1), (2206, 1)], 771: [(1522, 6), (1925, 1), (2150, 2), (2527, 1), (2530, 1)], 134: [(2231, 2), (2239, 6), (2486, 1), (2654, 1), (2707, 1)]}\n"
     ]
    }
   ],
   "source": [
    "ntl_data = tnm.node_timelines(tij_data, 1)\n",
    "print({n: ntl_data[n] for n in list(ntl_data.keys())[:3]})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### `activities(tij_data)` ###\n",
    "This function takes a `tij()` object and returns a dictionary with nodes as keys and their activity as values, *i.e.* the number of contacts in which they are involved."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{513: 5, 771: 7, 134: 9, 778: 19, 267: 38, 268: 15, 15: 13, 271: 25, 17: 17, 272: 1}\n"
     ]
    }
   ],
   "source": [
    "ntl_data = tnm.activities(lks_data)\n",
    "print({n: ntl_data[n] for n in list(ntl_data.keys())[:10]})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### `activity_durations(tij_data,dt)` ###\n",
    "This function takes a `tij()` object and returns a dictionary where keys are nodes and values are the list of activity durations of these nodes, *i.e.* the durations of continuous activity periods. It necessitates to specify the value `dt` of the time step, since the assumption is that contiguous activation events of a node form a full node activation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{513: [1, 1, 1, 1, 1], 771: [6, 1, 2, 1, 1], 134: [2, 6, 1, 1, 1], 778: [1, 1, 1, 1, 2, 1, 1, 3, 3, 4], 267: [1, 5, 3, 26, 3, 1, 4, 1, 2, 1], 268: [1, 4, 1, 2, 2, 1, 1, 1, 1, 1], 271: [1, 1, 2, 1, 1, 3, 13, 3, 1, 2], 15: [1, 1, 5, 4, 2, 1, 1, 3, 2, 2], 17: [1, 3, 11, 3, 2, 2, 1, 1, 1, 2], 272: [1]}\n"
     ]
    }
   ],
   "source": [
    "alpha = tnm.activity_durations(tij_data, 1)\n",
    "print({n: alpha[n][:10] for n in list(alpha.keys())[:10]})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### `inactivity_durations(tij_data,dt)` ###\n",
    "This function takes a `tij()` object and returns a dictionary where keys are nodes and values are the list of inactivity durations of these nodes. It necessitates to specify the value `dt` of the time step, since the assumption is that contiguous activation events of a node form a full node activation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{513: [7, 24, 11, 62], 771: [403, 225, 377, 3], 134: [8, 247, 168, 53], 778: [5, 4, 4, 319, 31, 381, 312, 5, 5, 6], 267: [286, 640, 4, 19, 5, 3, 4, 2, 5, 3], 268: [163, 8, 3, 6, 5, 2, 29, 6, 53, 21], 271: [35, 14, 13, 3, 5, 4, 16, 8, 13, 3], 15: [481, 4, 8, 8, 5, 747, 24, 30, 198], 17: [3, 2, 10, 158, 6, 127, 10, 177, 15, 154], 272: []}\n"
     ]
    }
   ],
   "source": [
    "dalpha = tnm.inactivity_durations(tij_data, 1)\n",
    "print({n: dalpha[n][:10] for n in list(dalpha.keys())[:10]})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### `analysis(lks_data,dt,save=True,filename=\"analysis.pdf\")` ###\n",
    "This function takes a `link_timeline()` object, computes all the previous analysis and plots a recap figure. If `save` is set to `True`, it saves the figure under a file defined by `filename` (set by default to \"analysis.pdf\"), otherwise it just shows it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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BAwewdOlS6ee8vDwAwIoVK7Bt2zakpaXh9OnT2LhxI1paWjB37lzs2bMH0dHRcoVMRH7G06lrjUYjenp6RrUfIiJfZLfbAQAajWbA5Y5yx3pENHJMF9mHt+Sr9ZY4iJSioKAAcXFxmDx5MsLDw3HnnXfiH//4h9M6oihi/fr1iIyMRFBQEARBwEcffSRTxERERESjIwgCRFHs99m2bZu0Tm5uLo4ePYru7m7YbDYsWbJk1MflnGxENFxMXUtE5Bnh4eEAAJvNNuByR7ljPSIaOTay9eEt+Wq9JQ4ipaipqYHBYMA777yD6upqnD9/HomJiejs7JTWeeqpp7Bp0yZs3rwZ9fX1mDZtGr773e/izJkzMkZORDR8fLFNRN6AL7aJqLeOjg40NDSgoaEBwH9S1zY3NwO4OMq2uLgYzz//PA4dOoQHH3yQqWuJiEYpPT0dAFBaWorGxkanZY2NjSgrKwMAZGRkjHlsRErDRrY+hpOvFgDKy8v9Ig4ipfjf//1frFy5Etdddx3UajVeeOEFNDc3Sz13RFFEYWEh1q1bh9TUVMydOxfbt2/HV199hRdffHHQ/XZ3d6O9vd3pQ0QkF77YJiIiIm9z4MABxMbGIjY2FsDFRrXY2Fg8/vjjAIC0tDQUFhZi48aNmDdvHmpra5m6loi80vLlyxEWFoa7775b7lAuSRAECIKArq4uaLVapyxpWq0WXV1dEAQB8fHxcodK5PM4J1sf3pKv1lviIFKqtrY2AMCUKVMAXOxNefLkSSQmJkrrBAYGIj4+Hvv370dOTs6A+ykoKMCGDRs8HzAREREREZEPcqSuHUpubi5yc3PdelzOyUZE7nb//fdj1apV2L59u9yhXJJKpUJVVZU0HZHJZHJaLggCqqqqoFKpZIqQSDk4kq0Pb8lX6y1xECmRKIrIy8vDLbfcgrlz5wKANNF238m1IyIi+k3C3Vt+fj7a2tqkz7FjxzwXOBEREZEPYOpaIvIGHOFPRO62dOlSTJ48We4whi0sLAxmsxkWiwVZWVlITk5GVlYWLBYLzGYzwsLCnNYXRREWiwV6vR4pKSnQ6/WwWCyX7ChB5O/YyNaHt+Sr9ZY4iJToJz/5Cf72t7/hpZde6resbw8eURSH7NUTGBiIkJAQpw8RERGRP+OLbSIiIhprtbW1SE5ORmRkJFQqFXbu3NlvnS1btmDWrFmYOHEiNBoN9u3bN/aBjjGVSgVBEFBcXIxdu3ahuLgYgiD0e9fV2tqKhIQEJCQkoKSkBLt370ZJSYlU1traKtMZEHk/NrL14S35ar0lDiKlue+++7Br1y5YLBbMmDFDKp82bRoA9Bu1Zrfb+41uIyIiIiIiIiIi79HZ2Qm1Wo3NmzcPuLyyshJr167FunXrcPDgQSxevBhJSUlobm6W1tFoNJg7d26/z4kTJ8bqNGQhiqKUVjIoKMjpPXRQUBCsVitSU1M5oo1oEJyTrQ9vyVfrLXEQKYUoirjvvvuwY8cOWK1WzJo1y2n5rFmzMG3aNFRXV0sTcp89exY1NTX4zW9+I0fIREQu49wjRERERBfxvojIvyQlJSEpKWnQ5Zs2bUJWVhb0ej0AoLCwEHv37sXWrVtRUFAAYPBpe0aiu7sb3d3d0s/t7e1u27e7Wa1WqYGtrq4OarUaAJCdnY01a9ZAq9XCarWipqYGgiDIGyyRF+JItgG4mq9W6XEQKYHBYEB5eTlefPFFTJ48GSdPnsTJkyfR1dUF4GLD9tq1a/Hkk09ix44d+PDDD7Fy5UpcfvnluOeee2SOnohoeJiijYiIiOgi3hcRkcPZs2dhs9mQmJjoVJ6YmIj9+/d75JgFBQUIDQ2VPlFRUR45jjtUVFQAADIzM6UGNge1Wg2dTgcAKC8vH/PYiHwBR7INwpGvVu7WeW+Jg8jXbd26FQD6XUsvvPACVq5cCQB46KGH0NXVhdzcXLS2tmLhwoV44403fGpSWyIiIiK5cfQIEREReZNTp06hp6en33QgERER/aYNGcqyZcvw/vvvo7OzEzNmzMCOHTsQFxc34Lr5+fnIy8uTfm5vb/fahja73Q7gYrrMgTjKHesRkTM2shGRXxhO3miVSoX169dj/fr1ng+IiIiISKEMBgMMBgPa29sRGhoqdzhEREREANBv2h1RFF2aimfv3r3DXjcwMBCBgYE+0fkoPDwcwMV0mdnZ2f2WO9JoOtYjImdMF0lEREREREREREREijR16lQEBAT0G7Vmt9v7jW5zN19IXZueng4AKC0tRWNjo9OyxsZGlJWVAQAyMjLGPDYiX8BGNiIiIiIiIiIiUhSj0YiYmJhBU7kRkf+YMGECNBoNqqurncqrq6uxaNEijx7bF+oix1RFXV1d0Gq1yMnJgclkQk5ODrRaLbq6uiAIAuLj4+UOlcgrMV0kEREREREREREpClPXEvmXjo4OHD58WPr5yJEjaGhowJQpUzBz5kzk5eVBp9NhwYIF0Gq1MJlMaG5uxurVqz0aly/URSqVClVVVUhNTYXVaoXJZHJaLggCqqqqnFJriqIIq9WKiooK2O12hIeHIz09HYIguJSCk0gJ2MhGREREpBC+kO+fiIiIiIjI3Q4cOIClS5dKP+fl5QEAVqxYgW3btiEtLQ2nT5/Gxo0b0dLSgrlz52LPnj2Ijo6WK2SvEhYWBrPZjJqaGpSXl0sNZxkZGYiPj3dqOGttbZUa5HorKSmRGuTCwsLG+AyI5MNGNiIiIiKF8IVekkSkfGzwJyIiorEmCAJEURxyndzcXOTm5o5RRBf50n2RSqWSUkcORhRFqYEtKCgImZmZ0Gg0sNlsKC0thdVqRWpqKsxmM0e0kd/gnGxERERERETkNgaDAU1NTaivr5c7FCIiIiJZKe2+yGq1Sg1sdXV1KCoqQnZ2NoqKilBXV4egoCBYrVbU1NTIHSrRmGEjGxERERERERERERERDamiogIAkJmZCbVa7bRMrVZDp9MBAMrLy8c8NiK5sJGNiIiIiIiIiIiIiMjNjEYjYmJiEBcXJ3cobmG32wEAGo1mwOWOcsd6RP6AjWxERERERERERKQoSnuxTUS+SWnpIsPDwwEANpttwOWOcsd6RP6AjWzkU0RRhMVigV6vR0pKCvR6PSwWyyUnNiUiIiIiIiIi/6G0F9tERN4gPT0dAFBaWorGxkanZY2NjSgrKwMAZGRkjHlsRHIZL3cARMPV2tqK1NRUWK1Wp/KSkhIIgoCqqiqEhYXJExwRERERERERERFRL0ajEUajET09PXKH4haCIEAQBFitVmi1Wuh0Omg0GthsNpSVlaGrqwuCICA+Pl7uUInGDBvZyCeIoig1sAUFBSEzM1OqwEtLS2G1WpGamgqz2QyVSiV3uEREREREfktpL5OIiIiIRspgMMBgMKC9vR2hoaFyhzNqKpUKVVVV0ntak8nktNwxEILvZ8mfsJGNfILVapUa2Orq6qBWqwEA2dnZWLNmDbRaLaxWK2pqaiAIgrzBEhERkUtEUYTVakVFRQXsdjvCw8ORnp4OQRD4cEbkg5T2MomIiIiI/iMsLAxmsxk1NTUoLy+XnuEyMjIQHx/PZzjyO2xkI59QUVEBAMjMzJQa2BzUajV0Oh1MJhPKy8vZyEZERH7LF0ePMB00ERERERGRb1GpVFLqSCJ/N07uAIiGw263AwA0Gs2Ayx3ljvWIiIj8kcFgQFNTE+rr6+UOZVj6poPOycmByWRCTk4OgoKCpHTQoijKHSoRERERERERUT9sZCOfEB4eDgCw2WwDLneUO9YjIiIi79c3HXRRURGys7NRVFSEuro6qaGtpqZG7lCJiIjIxxiNRsTExCAuLk7uUIjIj7EuIlI+NrKRT0hPTwcAlJaWorGx0WlZY2MjysrKAAAZGRljHhsRERGNzHDSQQNAeXn5mMdGREREvs3XRvgTkTKxLiJSPs7JRj7BkePXarVCq9VCp9NBo9HAZrOhrKwMXV1dEAQB8fHxcodKREREw8R00ERERERERMoliiKsVisqKipgt9sRHh6O9PR0CIIAlUold3hEbsFGNvIJKpUKVVVV0rwtJpPJabkgCKiqqmLlTERE5EN6p4POzs7ut5zpoImIiIiIiHxTa2ur9C63t5KSEuldblhYmDzBEbkR00WSzwgLC4PZbIbFYkFWVhaSk5ORlZUFi8UCs9nMSpmIiMjHMB00ERERERGR8oiiKDWwBQUFIScnByaTCTk5OdLc26mpqRBFUe5QiUZtRI1sW7ZswaxZszBx4kRoNBrs27dv0HVbWlpwzz334Nvf/jbGjRuHtWvX9ltn27ZtUKlU/T5ff/31SMIjBVOpVBAEAcXFxdi1axeKi4s5vJiIiMhHOdJBd3V1QavVOj14abVapoMm8lFGoxExMTGIi4uTOxQiIiIiWfnrfZHVapUa2Orq6lBUVITs7GwUFRWhrq5OamirqamRthFFERaLBXq9HikpKdDr9bBYLGyII6/nciNbZWUl1q5di3Xr1uHgwYNYvHgxkpKS0NzcPOD63d3duOqqq7Bu3bp+E9r3FhISgpaWFqfPxIkTXQ2PiIiIiHyEIx20o6HN0cBmMpmkBjamgybyPQaDAU1NTaivr5c7FCIiIiJZ+et9UUVFBQAgMzOzX5uAWq2GTqcDAJSXlwO4mFoyISEBCQkJKCkpwe7du1FSUiKVtba2ju0JELnA5TnZNm3ahKysLOj1egBAYWEh9u7di61bt6KgoKDf+t/4xjfwhz/8AQDw/PPPD7pflUqFadOmDTuO7u5udHd3Sz+3t7cPe1siIiIi8g6OdNA1NTUoLy+XJsPOyMhAfHw8G9iIiIiIiIh8jN1uBwBoNJoBlzvK7XZ7v9SSmZmZ0Gg0sNlsKC0tlVJLms1mPh+SV3Kpke3s2bOw2Wx45JFHnMoTExOxf//+UQXS0dGB6Oho9PT0YN68efjVr36F2NjYQdcvKCjAhg0bRnVMIiIiIpKfIx20IAhyh0JERERERESjFB4eDgCw2WzIzs7ut9xms0nr9U0t6Rj5lp2djTVr1kCr1UqpJfnMSN7IpXSRp06dQk9PDyIiIpzKIyIicPLkyREHce2112Lbtm3YtWsXXnrpJUycOBE333wzPv7440G3yc/PR1tbm/Q5duzYiI9PRERERERERERERESjl56eDgAoLS1FY2Oj07LGxkaUlZUBADIyMlxOLUnkbVyekw1Av2GZoiiOaqjmTTfdhIyMDKjVaixevBh//OMfMXv2bPy///f/Bt0mMDAQISEhTh8iIiIipVi+fDnCwsJw9913yx0KERERkc8xGo2IiYlBXFyc3KEQEfkdR6aSrq4uaLVaae7tnJwcaLVaaQ7u+Ph4l1JLEnkjlxrZpk6dioCAgH6j1ux2e7/RbaMKatw4xMXFDTmSjYiIiEjJ7r//fpSWlsodBhEREZFPMhgMaGpqQn19vdyhEBH5HZVKhaqqKqmhzdHAZjKZpAa2qqoqqFQqp9SSA+mdWpLIG7nUyDZhwgRoNBpUV1c7lVdXV2PRokVuC0oURTQ0NGD69Olu2ycRERGRL1m6dCkmT54sdxhERERERERELgsLC4PZbIbFYkFWVhaSk5ORlZUFi8UCs9mMsLAwAK6lliTyRuNd3SAvLw86nQ4LFiyAVquFyWRCc3MzVq9eDeDiXGnHjx936nnd0NAAAOjo6MDnn3+OhoYGTJgwATExMQCADRs24KabbsI111yD9vZ2PPPMM2hoaIDRaHTDKRIRERG5V21tLX7729/CZrOhpaUFO3bswJ133um0zpYtW/Db3/4WLS0tuO6661BYWIjFixfLEzARERERERGNOaPRCKPRiJ6eHrlDkYVKpZJSRw7GsdxqtUKr1UKn00Gj0cBms6GsrMwptSSRN3K5kS0tLQ2nT5/Gxo0b0dLSgrlz52LPnj2Ijo4GALS0tKC5udlpm9jYWOn/bTYbXnzxRURHR+Po0aMAgC+//BI//vGPcfLkSYSGhiI2Nha1tbW48cYbR3FqRERERJ7R2dkJtVqNe++9F3fddVe/5ZWVlVi7di22bNmCm2++Gc8++yySkpLQ1NSEmTNnAriYV767u7vftm+88QYiIyNdiqe7u9tpX+3t7S6eERERERH5E1EUYbVaUVFRAbvdjvDwcKSnp0MQBKhUKrnDI1IMg8EAg8GA9vZ2hIaGyh2OV3KklkxNTYXVaoXJZHJa3ju1JJE3UomiKModhDs4Kqq2tjaEhITIHQ4RXYJSr1klnldnZycmTZoE4OKI5ODgYJkjInIfd1yzKpWq30i2hQsXYv78+di6datUNmfOHNx5550oKCgY9r6tVis2b96MV155Zcj11q9fjw0bNvQrV1JdRKRkSrx/AJR7XkRKpdRrVqnnNRqtra3Sy+y+HC+zHWnciMaaUq9ZpZ6XO4miiJqaGpSXl0uN/xkZGYiPj2cDG405V65Zl0ey+SpP9tDxlt4/jIOIiEh+Z8+ehc1mwyOPPOJUnpiYiP3793vkmPn5+cjLy5N+bm9vR1RUlEeORUREF/G5h4h8kSiKUgNbUFAQMjMzpbRspaWlsFqtSE1NhdlsZl1GRGNqOKklibyRXzSyDdZDp6SkZNQ9dDy5b8ZBRETke06dOoWenh5EREQ4lUdERODkyZPD3s+yZcvw/vvvo7OzEzNmzMCOHTsQFxc34LqBgYEIDAwcVdxERDR8fO4hIl9ltVqlBra6ujqo1WoAQHZ2NtasWQOtVgur1Yqamhq+6CYiIhqGcXIH4Gl9e+jk5OTAZDIhJycHQUFBUg+dkWTN9OS+GQcREZFv69vzVxRFl3oD7927F59//jm++uorfPrpp4M2sPVmNBoRExMzrHWJiDxF6XURn3uIyJdVVFQAADIzM6UGNge1Wg2dTgcAKC8vH/PYiIiIfJHiG9n69tApKipCdnY2ioqKUFdXJz0E1dTUeNW+GQeR+9XW1iI5ORmRkZFQqVTYuXOn0/KVK1dCpVI5fW666SZ5giUinzV16lQEBAT0G7Vmt9v7jW5zN4PBgKamJtTX13v0OEREQ1F6XcTnHiLyZXa7HQCg0WgGXO4od6xHREREQ1N8I5sne+h4S+8fxkE0PJ2dnVCr1di8efOg63zve99DS0uL9NmzZ88YRkhESjBhwgRoNBpUV1c7lVdXV2PRokUyReUfRFGExWKBXq9HSkoK9Ho9LBYLR5MQkVvxuYeIfFl4eDgAwGazDbjcUe5Yj4iIiIam+DnZPNlDx1t6/zAOouFJSkpCUlLSkOsEBgZi2rRpw95nd3c3uru7pZ/b29tHHB8R+Y6Ojg4cPnxY+vnIkSNoaGjAlClTMHPmTOTl5UGn02HBggXQarUwmUxobm7G6tWrPRqX0WiE0WhET0+PR4/jjTg/EhGNFT73EJEvS09PR0lJCUpLS7FmzRqnzgKNjY0oKysDAGRkZMgVIpFXOnbsGHQ6Hex2O8aPH4/HHnsMP/jBD+QOi4i8gOJHsnmyh4639P5hHETuY7VaER4ejtmzZyM7O/uSL0cKCgoQGhoqfaKiosYoUiKS04EDBxAbG4vY2FgAQF5eHmJjY/H4448DANLS0lBYWIiNGzdi3rx5qK2txZ49exAdHe3RuJSeom0wnB+JiMYSn3uIyJcJggBBENDV1QWtVut036TVatHV1QVBEBAfHy93qEReZfz48SgsLERTUxPefPNNPPjgg+js7JQ7LCLyAipRIW8b2tvbERoaira2NoSEhEjlFosFCQkJUr78vj10HDcQFosFgiC4dExP7ptxkNINds2OFZVKhR07duDOO++UyiorKzFp0iRER0fjyJEjeOyxx3D+/HnYbDYEBgYOuJ+BRrJFRUXJdl6e0NnZiUmTJgG4OHonODhY5oiI3EfuushTlHpeg+E9CPk6pV6zSj0v1jmkVEq9ZpV6XqMxWAYAAMwAQLLzlWv2hhtuwOuvvz7szta+cl5KJIoirFYrKioqYLfbER4ejvT0dAiCAJVKJXd45KVcuWYVny7S0UPHarVCq9VCp9NBo9HAZrOhrKxsVD10PLlvxkE09tLS0qT/nzt3LhYsWIDo6Gi8/vrrSE1NHXCbwMDAQRvgiIjGmr+mixzO/Egmkwnl5eXDeuHNhzAiGgqfe4h8g7/eFw1HWFgYzGYzampqUF5eLt3vZGRkID4+nvc75JNqa2vx29/+FjabDS0tLf06VgPAli1b8Nvf/hYtLS247rrrUFhYiMWLF7t8rAMHDuDChQvMZuQDOK0AjQXFN7KpVCpUVVVJF5PJZHJa7riYRnID4cl9Mw4i+U2fPh3R0dH4+OOP5Q6FiGhYDAYDDAaD1OPKX7hzfiQ+hBHRpfC5h8g3+Ot90XCpVCqp0wCREnR2dkKtVuPee+/FXXfd1W95ZWUl1q5diy1btuDmm2/Gs88+i6SkJDQ1NWHmzJkALj439M5W5PDGG28gMjISAHD69GlkZmaiuLjYsydEo9Z3WoHMzEypY1Rpaak0rYDZbOZ9G42K4hvZAM/20PGW3j+Mg8j9Tp8+jWPHjmH69Olyh0JEREPoPT9SdnZ2v+XDnR+JD2FENFx87iEiIvIuSUlJSEpKGnT5pk2bkJWVBb1eDwAoLCzE3r17sXXrVhQUFAAYfL5Vh+7ubixfvhz5+flYtGjRJdftO70IjS2r1So92/VO8Z2dnY01a9ZAq9XCarWipqaGHQ5oVPyikQ3wbA8db+n9wziIhtbR0YHDhw9LPx85cgQNDQ2YMmUKpkyZgvXr1+Ouu+7C9OnTcfToUfziF7/A1KlTsXz5chmjJiKiS0lPT0dJSQlKS0uxZs2afvMjlZWVAQAyMjKG3A8fwojIFXzuISIi8g1nz56FzWbDI4884lSemJiI/fv3D2sfoihi5cqVSEhIgE6nu+T6BQUF2LBhw4jipUsbTop/d08rQDSYcXIHQEQ0Vg4cOIDY2FjExsYCAPLy8hAbG4vHH38cAQEB+OCDD3DHHXdg9uzZWLFiBWbPno26ujpMnjxZ5siJiIbHaDQiJiYGcXFxcocyphwvubu6uqDVapGTkwOTyYScnBxotdphz480nIcwACgvL/fMiRARERERkdudOnUKPT09iIiIcCqPiIjAyZMnh7WPt99+G5WVldi5cyfmzZuHefPm4YMPPhh0/fz8fLS1tUmfY8eOjeoc6D9aW1uRkJCAhIQElJSUYPfu3SgpKZHKWltbAbh3WgGiofjNSDYiIkEQIIrioMv37t07htEQEbmfv8494q75kfgQRkRERESkXH2fB0RRHHaK51tuuQUXLlwY9rECAwMRGBgIo9EIo9GInp4el2KlgbmS4t9d0woQXQpHshERERGRz3PMj2SxWJCVlYXk5GRkZWXBYrHAbDYjLCzskvvo/RA2ED6EERERERH5nqlTpyIgIKDfqDW73d5vdJu7GQwGNDU1ob6+3qPH8Rd9U/wXFRUhOzsbRUVFqKurQ1BQkJTiPz09HQBQWlqKxsZGp/24Mq0A0aWwkY2IiIiIFMExP1JxcTF27dqF4uJip5z8l8KHMCIiIiIi5ZkwYQI0Gg2qq6udyqurq7Fo0SKPHttfU/p7iisp/t01rQDRpTBdJBERERER/jO3m9VqhVarhU6nk1KPlJWV8SGMiIiIiMhLdXR04PDhw9LPR44cQUNDA6ZMmYKZM2ciLy8POp0OCxYsgFarhclkQnNzM1avXu3RuPw1pb+nuJLi313TChBdChvZiIjI73V2dmLSpEkALt6YBwcHyxwR0cgw3//o8CGMiIiIiMg3HThwAEuXLpV+zsvLAwCsWLEC27ZtQ1paGk6fPo2NGzeipaUFc+fOxZ49exAdHS1XyDQCrs6z5phWoKamBuXl5bDb7QgPD0dGRgbi4+P5bEduoRJFUZQ7CHdw9AZoa2tDSEiI3OEQ0SUo9ZpV4nn5QwOUP5wjDUyJ1yyg3PMaK6Io8iGMxpRSr1mlnheRUin1mlXqeREpldKu2d4dIf/5z38q5rzkYrFYkJCQIM3J1jtlZGNjo5QG0mKxQBAE+QIln+dKXcSRbEREREREvTjmduNDGRGwfPlyWK1W3HrrrXjllVfkDoeIiIjIpzBdpHsxxT95IzayERERERER0YDuv/9+rFq1Ctu3b5c7FCIiIiLyc0zxT96IjWxEREREREQ0oKVLl8JqtcodBhEREZFP4rzZ7sd51sjbjJM7ACIiIiJyD6PRiJiYGMTFxckdChGNgdraWiQnJyMyMhIqlQo7d+7st86WLVswa9YsTJw4ERqNBvv27Rv7QImIiIj8lMFgQFNTE+rr6+UORVEcKf6Li4uxa9cuFBcXQxAENrCRLNjIRkRERKQQfIAj8i+dnZ1Qq9XYvHnzgMsrKyuxdu1arFu3DgcPHsTixYuRlJSE5uZmaR2NRoO5c+f2+5w4ccLleLq7u9He3u70ISIiIiIiUjKmiyQiIiIiIvJBSUlJSEpKGnT5pk2bkJWVBb1eDwAoLCzE3r17sXXrVhQUFAAAbDab2+IpKCjAhg0b3LY/IiIiIl/HdJFEyseRbERERERERApz9uxZ2Gw2JCYmOpUnJiZi//79Hjlmfn4+2trapM+xY8c8chwiIiIiX8FsI0TKx5FsRERERERECnPq1Cn09PQgIiLCqTwiIgInT54c9n6WLVuG999/H52dnZgxYwZ27Ngx6LyPgYGBCAwMHFXcREQDWb58OaxWK2699Va88sorcodDREQKJIoirFYrKioqYLfbER4ejvT0dM71RpfERjYiIiIiIg/gQxp5g75/a6IouvT3t3fvXpePybRIRORu999/P1atWoXt27fLHQoRESlQa2srUlNTYbVancpLSkogCAKqqqoQFhYmT3Dk9djIRkRERETkZnxII7lNnToVAQEB/Uat2e32fqPb3M1gMMBgMKC9vR2hoaEePRYR+YelS5f2+04lIiJyB1EUpWe3oKAgZGZmQqPRwGazobS0FFarFampqTCbzewsSQPinGxERORVOjs7oVKpoFKp0NnZKXc4REQu6/uQlpOTA5PJhJycHAQFBUkPaaIoyh0qKdiECROg0WhQXV3tVF5dXY1FixbJFBW5QhRFWCwW6PV6pKSkQK/Xw2KxsO4gr1NbW4vk5GRERkZCpVJh586d/dbZsmULZs2ahYkTJ0Kj0WDfvn1jHygRkQyMRiNiYmIGTbdN8rNardKzW11dHYqKipCdnY2ioiLU1dVJz3A1NTVyh0peiiPZiIiIiBSCKdq8Q9+HNLVaDQDIzs7GmjVroNVqpYc0QRDkDZZ8WkdHBw4fPiz9fOTIETQ0NGDKlCmYOXMm8vLyoNPpsGDBAmi1WphMJjQ3N2P16tUyRk3DwdGw5Es6OzuhVqtx77334q677uq3vLKyEmvXrsWWLVtw880349lnn0VSUhKampowc+ZMAIBGo0F3d3e/bd944w1ERka6FE93d7fTvtrb2108IyIi9+EIf+9XUVEBAMjMzJSe3RzUajV0Oh1MJhPKy8v5/EYDYiMbERERkULwAc478CGNxsqBAwewdOlS6ee8vDwAwIoVK7Bt2zakpaXh9OnT2LhxI1paWjB37lzs2bMH0dHRHo2LDf6jw5RF5GuSkpKQlJQ06PJNmzYhKysLer0eAFBYWIi9e/di69atKCgoAADYbDa3xVNQUIANGza4bX9ERKRsdrsdwMUOHwNxlDvWI+qL6SKJiIiIiNyID2k0VgRBgCiK/T7btm2T1snNzcXRo0fR3d0Nm82GJUuWeDwug8GApqYm1NfXe/xYSsSURaQkZ8+ehc1mQ2JiolN5YmIi9u/f75Fj5ufno62tTfocO3bMI8chIiJlCA8PBzB4hw9HuWM9or7YyEZERIrB+dyIyBvwIY2IRmM4o2EBoLy8fMxjI3LVqVOn0NPTg4iICKfyiIgInDx5ctj7WbZsGX7wgx9gz549mDFjxpCN+IGBgQgJCXH6EBERDSY9PR0AUFpaisbGRqdljY2NKCsrAwBkZGSMeWzkG9jIRkRERETkRnxII6LR4GhYUqK+qU1FUXQp3enevXvx+eef46uvvsKnn36KuLg4d4dIROQRRqMRMTExrLe8mCAIEAQBXV1d0Gq1yMnJgclkQk5ODrRaLbq6uiAIAuLj4+UOlbwUG9mIiIiIiNyID2nk7/gyaXQ4GpaUZOrUqQgICOg3as1ut/cb3eZurIuIyBswjbb3U6lUqKqqkp7hHM9uJpNJenarqqriXLg0KDayERERERG5ER/SyN/xZdLocDQsKcmECROg0WhQXV3tVF5dXY1FixZ59Nisi4iIaLjCwsJgNpthsViQlZWF5ORkZGVlwWKxwGw2IywszGl9URRhsVig1+uRkpICvV4Pi8UCURRlOgOS03i5AyAiIiIiUhrHQ1pNTQ3Ky8tht9sRHh6OjIwMxMfHs4GNiAblGA1rtVqh1Wqh0+mg0Whgs9lQVlbG0bDkdTo6OnD48GHp5yNHjqChoQFTpkzBzJkzkZeXB51OhwULFkCr1cJkMqG5uRmrV6+WMWoiIiJnKpVKug8bSmtrK1JTU2G1Wp3KS0pKpA6VfRvlSNnYyEZERERE5AHDfUgjIurNMRrW8fLGZDI5LedoWPI2Bw4cwNKlS6Wf8/LyAAArVqzAtm3bkJaWhtOnT2Pjxo1oaWnB3LlzsWfPHkRHR8sVMslMFEVYrVZUVFRIHZHS09MhCALrNiLyaqIoSvdoQUFByMzMlDpDlZaWwmq1IjU1FWazmfWZH2EjGxEREREREZEX4WhY8iWCIFwyPVZubi5yc3PHKKKLjEYjjEYjenp6xvS4NDSOACEiX2a1WqUGtrq6OqjVagBAdnY21qxZA61WC6vVipqaGna29CNsZCMir/bZZ595fEJs8ozOzk5MmjQJwMUUMsHBwTJHRKR8fJmkTOztTb6GdZF7cDQs0egYDAYYDAa0t7cjNDRU7nAIHAFCRL6voqICAJCZmSk1sDmo1WrodDqYTCaUl5fzHs6PjJM7ACKiodx11104f/78gMsGKyci8lcGgwFNTU2or6+XOxRyk9bWViQkJCAhIQElJSXYvXs3SkpKpLLW1la5QyTqh3URERENpO8IkKKiImRnZ6OoqAh1dXUICgqSRoAQEXkju90OANBoNAMud5Q71iP/wEY2IvJqYWFhuO+++/qVnz59Gt/5zndkiIiIiGhs9O3tnZOTA5PJhJycHOklVGpq6iVTdBERERF5g+GMAAGA8vLyMY+NyFOMRiNiYmIQFxcndyjkBuHh4QAAm8024HJHuWM94OJzncVigV6vR0pKCvR6PSwWC5/jFGREjWxbtmzBrFmzMHHiRGg0Guzbt2/QdVtaWnDPPffg29/+NsaNG4e1a9cOuN6rr76KmJgYBAYGIiYmBjt27BhJaESkMGVlZfjrX/+K4uJiqezQoUO48cYbERISImNk/kEURadehAaDgTcCRERjhL29iYiISEk4AoT8EUf4K0t6ejoAoLS0FI2NjU7LGhsbUVZWBgDIyMgAwMwk/sLlRrbKykqsXbsW69atw8GDB7F48WIkJSWhubl5wPW7u7tx1VVXYd26df16qTjU1dUhLS0NOp0OjY2N0Ol0+OEPf4h3333X1fCISGGuuOIKvPrqq3jooYfw7rvv4n//93+h1Wpx11134bXXXpM7PEVz3AjcfvvtUtn27dt5I0BENEbY25uIPIm9qknpOHrE+4xkBAgRkTdxzJfb1dUFrVbrlG1Eq9Wiq6sLgiAgPj6emUn8iEp08V9x4cKFmD9/PrZu3SqVzZkzB3feeScKCgqG3FYQBMybNw+FhYVO5WlpaWhvb8df/vIXqex73/sewsLC8NJLLw0rLsdEtm1tbRzdQuQDhrpm77jjDsybNw+xsbGYN28evvGNb+Cll17Cfffdh6+//hpGoxErVqyQKfKhKaUuEkURCQkJ0o1AV1cXAGDVqlV46aWXpJuGoSak7uzsxKRJkwAAHR0dCA4OHtaxR7qdXMck36aUa7YvpZ6Xv0lJScHu3bthMpmQnZ3db7njAS05ORm7du2SIUJyF6Ves0o9LyVobW2VXvr0JQgCqqqqEBYWNvaBkayUes0q9bx8kcViQUJCgjRKv3cnosbGRukFtcVigSAI8gVKslLqNavU8/JHw72PYp3n21y5Zl0ayXb27FnYbDYkJiY6lScmJmL//v2uR/p/6urq+u1z2bJlQ+6zu7sb7e3tTh8iUoZrrrkGb7/9NrKzs/HNb34TU6ZMgclkgiiKSE9Px7x583Du3Dm5w1S03inKqqurpfJnnnmGKcp66ezshEqlgkqlQmdnp9zhEJHCsLc3+SqOHvFu7FVNRHJxZQQIEZG3CgsLg9lshsViQVZWFpKTk5GVlQWLxQKz2Sx1VGJmEv/hUiPbqVOn0NPTg4iICKfyiIgInDx5csRBnDx50uV9FhQUIDQ0VPpERUWN+PhE5F1+97vf4c0338Tnn3+OTz75BNu3b8ett96KpUuX4q9//Svmz5+PSZMmDZqCdjC1tbVITk5GZGQkVCoVdu7c6bRcFEWsX78ekZGRCAoKgiAI+Oijj9x4Zr6j943AO++847SMNwJERGPD1Xz/RN6Cc494N873SERyUalUqKqqkhraHA1sJpNJamCrqqoaNFsKEZG3UKlUEAQBxcXF2LVrF4qLiyEIglP9xXko/YfLc7IB6PdlJ4riqL8AXd1nfn4+2trapM+xY8dGdXwi8i6/+MUv8N577yEqKgrJycl49NFH8corr+Dw4cNoa2vDm2++iR//+Mcu7bOzsxNqtRqbN28ecPlTTz2FTZs2YfPmzaivr8e0adPw3e9+F2fOnHHHKfmU3jcCvUeyOX4XvBEgIvI89vYmIk9gr2oiktNwR4AQEfk6ZibxH+NdWXnq1KkICAjoN8LMbrf3G4nmimnTprm8z8DAQAQGBo74mETk3VpaWvD9738fAQEBSE5Oxp133olbb70VgYGBmDRpEhYvXozFixe7tM+kpCQkJSUNuEwURRQWFmLdunVITU0FAGzfvh0RERF48cUXkZOTM+pz8iWOL/j6+nqn1L27d+9GdnY2bwSIiMaAo7e3I62byWRyWs7e3kQ0EuxVTf7CaDTCaDSip6dH7lCoD8cIEM5BRERKlp6ejpKSEpSWlmLNmjX95mRjZhLlcGkk24QJE/qNagCA6upqLFq0aMRBaLXafvt84403RrVPIvJtL7zwAj777DP88Y9/xBVXXIG8vDxMnToVqamp2LZtG06dOuXW4x05cgQnT550mh8yMDAQ8fHxfjk/ZO8UZb1H8r388su8ESAiGkPs7U1E7sZe1eQvmLqWiIjkxMwk/sOlkWwAkJeXB51OhwULFkCr1cJkMqG5uRmrV68GcDGN4/Hjx1FaWipt09DQAADo6OjA559/joaGBkyYMAExMTEAgAceeABLlizBb37zG9xxxx147bXX8Oabb+Ktt95ywykSka9SqVTSiLWnnnoKhw4dwu7du/Hcc88hJycHCxcuREpKCv77v/8bV1999aiO5RhNO9D8kJ988smg2xUUFGDDhg2jOrY3ctwIWK1Wp3Kz2YybbroJX3/9NW8EiIjGCHt7E5E7sVc1ERGR686cOYOEhAScO3cOPT09uP/++5GdnS13WOTFRpKZRBRFWK1WVFRUwG63Izw8HOnp6f3meyPv4nIjW1paGk6fPo2NGzeipaUFc+fOxZ49exAdHQ3gYoq35uZmp21iY2Ol/7fZbHjxxRcRHR2No0ePAgAWLVqEl19+GY8++igee+wxfOtb30JlZSUWLlw4ilMjIqWZM2cO5syZg4ceegh2ux27d+/Grl27AAA/+9nP3HKMkcwPmZeXJ/3c3t6OqKgot8QiJ8eNwDXXXIPTp087LXM0sDFFGZHnHDt2DDqdDna7HePHj8djjz2GH/zgB3KHRURECtC7M5VWq4VOp4NGo4HNZkNZWRl7VRMREQ3g8ssvR01NDS6//HJ89dVXmDt3LlJTU3HllVfKHRp5MUdmkpqaGpSXl0sNZxkZGYiPj3d6r9ba2io1yPVWUlIivYdjJhPv5HIjGwDk5uYiNzd3wGXbtm3rVyaK4iX3effdd+Puu+8eSThEpGArVqyAIAi49957AQCffPIJmpqasGjRImRlZSErK8stx5k2bRqAiyPapk+fLpX78/yQISEhOH/+fL/y//qv/4LZbGYDG5EHjR8/HoWFhZg3bx7sdjvmz5+P2267DcHBwXKHRkR0SZwHybtxvkciIiLXBQQE4PLLLwdwsfNxT0/PsN55Ew0nM4koitK9WVBQEDIzM6VOUKWlpbBarUhNTeX7OC/l0pxsRERjbe/evbj22msBXOzRMX/+fKSmpiImJgb/+Mc/3HacWbNmYdq0aU7zQ549exY1NTV+Oz/k3/72N7S1tWHy5MlS2fjx43H48GEcOnRIxsiIlG/69OmYN28egItz4kyZMgVffPGFvEEREQ0T50HyfpzvkYj8lSiKsFgs0Ov1SElJgV6vh8ViYWOJAtTW1iI5ORmRkZFQqVTYuXNnv3W2bNmCWbNmYeLEidBoNNi3b59Lx/jyyy+hVqsxY8YMPPTQQ5g6daqboid/Z7VapQa2uro6FBUVITs7G0VFRairq0NQUBCsVitqamqkbVifeQ82shGRV2tra8OMGTMAAH/84x8RGRmJtrY23HPPPcjPz3dpXx0dHWhoaJDmiTxy5AgaGhrQ3NwMlUqFtWvX4sknn8SOHTvw4YcfYuXKlbj88stxzz33uPu0fILji1ur1UpliYmJAICKigpZYiLyFmPxAOdw4MABXLhwQRGpaImIyHs4elUXFxdj165dKC4u5nwfpChGoxExMTGIi4uTOxTyEq2trUhISEBCQgJKSkqwe/dulJSUSGWtra1yh0ij0NnZCbVajc2bNw+4vLKyEmvXrsW6detw8OBBLF68GElJSU7THmk0GsydO7ff58SJEwCAK664Ao2NjThy5AhefPFFfPbZZ4PG093djfb2dqcP0WAc79kyMzOd5ssFALVaDZ1OBwAoLy8HwPrM27CRjYi8WlRUFI4cOQIAqKqqwooVKzBhwgRkZ2fj7bffdmlfBw4cQGxsrDRPZF5eHmJjY/H4448DAB566CGsXbsWubm5WLBgAY4fP4433njDaSSXP3E0st1yyy1SWVpaGoCLX/4XLlyQJS4ibzAWD3AAcPr0aWRmZvZL5dUXH+CIiIiInHFULfXWNxVbTk4OTCYTcnJypBEiqampHAHiw5KSkvDEE08gNTV1wOWbNm1CVlYW9Ho95syZg8LCQkRFRWHr1q3SOjabDR9++GG/T2RkpNO+IiIicMMNN6C2tnbQeAoKChAaGip92GmShmK32wFcfE8wEEe53W5nfeaFRjQnGxHRWFm5ciV+8pOf4Pbbb4fZbIbRaAQA9PT0oKOjw6V9CYIw5BeMSqXC+vXrsX79+tGErAgXLlyQbhZ7N7LddtttmDx5Mj755BO8/fbbWLx4sVwhEskqKSkJSUlJgy7v/QAHAIWFhdi7dy+2bt2KgoICABcf4IbS3d2N5cuXIz8//5JpawsKCrBhwwYXz4KIiIiIyD/0TcXmGCmSnZ2NNWvWQKvVSqnYhpo3iXzT2bNnYbPZ8MgjjziVJyYmYv/+/cPax2effYagoCCEhISgvb0dtbW1WLNmzaDr5+fnIy8vT/q5vb2dDW00qPDwcAAX3xNkZ2f3W+54fxAeHu5yfSaKIqxWKyoqKmC32xEeHo709HRmMHAjjmQjIq+Wn5+PtLQ07N+/H//zP/+D//qv/wIA1NfXY+bMmTJHp1wffvghvvjiCwQHB0sj/wAgKCgId999N4D/DFEnImeOBzhHelUHVx7gRFHEypUrkZCQIKWFGEp+fj7a2tqkz7Fjx0YUOykbc/YTERGRv3I1FRspy6lTp9DT04OIiAin8oiICJw8eXJY+/j000+xZMkSqNVq3HLLLfjJT36CG264YdD1AwMDERISgrKyMtx000249dZbR3UOpGzp6ekAgNLSUjQ2Njota2xsRFlZGQAgIyPDpfqMaSXHBkeyEZFXU6lUWLduHdatW+dU/tlnn/ntXGljwZEq8uabb8Zll13mtCwjIwMvvPAC/vjHP+KZZ55BYGCgHCESeS13PMC9/fbbqKysxA033CDN91ZWVobrr79+wPUDAwN5LdKQWltbpZQivZWUlEAQBFRVVSEsLEye4IiIiIg8zJVUbKRcfUftiKI47JE8Go0GDQ0NLh/TYDDAYDCgvb0doaGhLm9P/kEQBAiCAKvVCq1WC51OB41GA5vNhrKyMnR1dUEQBMTHx2PTpk0ALl2fffbZZ05pJTMzM6V9lpaWSmklzWYzR7SNEhvZiMgn/fznP5c7BEVzNLLFx8f3WxYfH4+rr74ax48fx549e7B8+fKxDo/IJ4zmAe6WW24Z0byHRqMRRqMRPT09Lm9LytU3Zz8froiIiMjfuJKKjZRn6tSpCAgI6Nfp0W639+sc6W58RqPhUKlUqKqqkp7b+s7L7ugYqVKphl2f9fT0ME3uGGG6SCIiciKK4pCNbAEBAdIoQqbSIOpPzgc4g8GApqYm1NfXe/Q45Fv65uwvKipCdnY2ioqKUFdXJ02O7aj7iYiIiJTGlVRspDwTJkyARqNBdXW1U3l1dfUl578eLT6j0XCFhYXBbDbDYrEgKysLycnJyMrKgsVigdlsljKPDLc+c3SgZJpcz2MjGxEROWlqasKpU6cQFBSEuLi4AddxPHj8+c9/Zv5moj7kfIAjGgjnIKGxZjQaERMTM+h9BBER0VhzpGLr6uqCVqtFTk4OTCYTcnJyoNVqnVKxkW/q6OhAQ0ODlNLxyJEjaGhoQHNzMwAgLy8PxcXFeP7553Ho0CE8+OCDaG5uxurVq2WMmsiZSqWCIAgoLi7Grl27UFxcDEEQnDKODLc+CwgIAMA0uWOB6SKJiMiJYyTDokWLMGHCBJw7d67fOjfccAOuv/56fPDBB3jllVcGHJ5OpGQdHR04fPiw9LPjAW7KlCmYOXMm8vLyoNPpsGDBAmi1WphMpjF5gGMqEhoI5yChsca5R4jIG/C+iHpzJRUb+aYDBw5g6dKl0s95eXkAgBUrVmDbtm1IS0vD6dOnsXHjRrS0tGDu3LnYs2cPoqOjPRoX6yJyt+HWZ46pdpgm1/M4ko0USxRFWCwW6PV6pKSkQK/Xw2KxQBRFuUMj8mpDpYrszTGajSMfyB8dOHAAsbGxiI2NBXDxAS42NhaPP/44ACAtLQ2FhYXYuHEj5s2bh9ra2jF5gGMqEhpI75z9A+HDFRERKRHvi6iv4aZiI98kCAJEUez32bZtm7RObm4ujh49iu7ubthsNixZssTjcbEuIk8YTn3GNLljRyUqpMXB0Uuyra0NISEhcodDMmttbZVa8/tytObz5kleSr1mff28RFHE9OnT8dlnn6GmpgZLlixBZ2cnJk2aBODi6J3g4GAAwLFjxxAdHQ1RFHH06NF+jQeDbXcpI91OjmOOJlbyDr5+zQ5GqedFI2OxWJCQkNBvwmvg4sOVI6WIxWLhhNcyUeo1q9TzIlIqpV6zSj0vIqVS6jWr1PMi7yWKIhISEqT5uXU6HTQaDWw2G8rKyqS0kmazmaN4B+DKNcuRbKQ4oihKDWxBQUFOeWmDgoJgtVqRmprKEW1EA/jHP/6Bzz77DBMnTsSNN9445LpRUVHSy9gXX3xxDKIjokvhPEg0EM5BQkREREQkDz6jkVwcaSUdz4KOZ0CTySQ9AzJNrntwTjZSHKvVKjWw9e6tnZ2djTVr1kCr1cJqtaKmpoa9tYn6cKSKvOmmmzBx4sRLrp+RkQGLxYKysjI88sgj/GImkhnnQaKBcA4SIiIiIiJ58BmN5ORIK1lTU4Py8nLY7XaEh4cjIyMD8fHxfAZ0EzaykeJUVFQAADIzM53SIQGAWq2GTqeDyWRCeXk5G9mI+hjufGwOd911F3Jzc3Ho0CE0NDRI81MREZF34cMVERERERGR/1GpVFJ2E/IMNrKR4tjtdgCARqMZcLmj3LEeEV0kiqLLjWyhoaFISUnBn/70J5SXl7ORjYjIi/HhioiIiIhobBmNRhiNRvT09MgdChF5COdkI8UJDw8HANhstgGXO8od6xHRRYcPH8aJEycwYcIE3HTTTcPeLiMjA8DFednkvGns3UgIXEzJYLFYOP+in+ns7IRKpYJKpUJnZ6fc4Yw55vsnIiIiIiLyHgaDAU1NTaivr5c7FCLyEDaykeKkp6cDAEpLS9HY2Oi0rLGxEWVlZQD+0zBARBc5GqgWLlyIoKCgYW/3ve99D1OmTMHJkydhNps9Fd6QWltbkZCQgNtvv10q2759OxISEpCQkIDW1lZZ4iIaa3yAo7EgiiIsFgv0ej1SUlKg1+vZqYGIiIiIiIj8EhvZSHEcaZC6urqg1WqRk5MDk8mEnJwcaLVadHV1QRCEYafDI/IXrqaKdJgwYQLS0tIAAOXl5W6P61JEUURqaiqsVqtT4+CqVasQFBQEq9WK1NRUvvwlInIDR6eGhIQElJSUYPfu3SgpKWGnBiIi8joc4U9ERERjgY1spDgqlQpVVVVSQ5ujgc1kMkkNbFVVVVCpVHKHSuQ1RjIfW2+OkaFVVVVjnqLParVKDWy9R9I988wzqKurkxraeqeS7G2kaSaZnpKI/E3fTg29OzKxUwMREXkbjvAnIiKiscBGNlKksLAwmM1mWCwWZGVlITk5GVlZWbBYLDCbzQgLC5M7RCKvcuTIERw7dgzjx4+HVqt1eXutVotZs2aho6MDu3bt8kCEg6uoqAAAZGZmoq6uTipfvnw5/vKXvyAxMRHAwKPsRppmkukpicgf9e7UUFdXh6KiImRnZ6OoqGhYnRqIiIiIiPwNR9USKR8b2UixVCoVBEFAcXExdu3aheLiYgiCwBFsRANwvBC98cYbERwc7PL2KpVKGs021ikj7Xa79N+8vDypvLq6Gvn5+XjttdcAAK+99hqeeOIJ7Nu3D93d3SNOM8n0lOTN+ABHntS7U4NarXZaplarodPpAMiTOpi8C+siIiIioos4qpZI+djIRkTkBzo7O6FSqaBSqQZM5ziaVJEO6enpAIC9e/dKDV9j4aqrrgIA7Nixw6n8N7/5De68804EBgYCAE6dOoXHHnsMS5YswRVXXIHY2FhYrVYEBgZiz5490naXSjM52vSURJ7EBzjyJEfdrtFoBlzuKB/L7wDyTqyLiIiIiIjIX7CRjYiI3NLI9u1vfxtxcXHo6elBZWWlu0IbUk9Pj9PL3Pvuu0/6f4PBgPXr12PcuItfdffffz9+8IMfIDw8HF9//TUaGxsBAN3d3Vi2bJm03f3334+tW7fiG9/4BgBgzZo1Tp/c3FwAwKxZs1BSUiJt19raypEcRKRo4eHhAACbzTbgcke5Yz0i8m+iKMJisUCv1yMlJQV6vZ7z1xIRERGR4oyXOwAiIpLXJ598gqNHjyIgIACLFi0a1b4yMjJQX1+P8vJyrFq1yk0RDuzcuXPIzMzEn//8Z6msuLhY+v/77rsPL7/8Mrq6uiAIAgoLC6FSqSCKIv7xj38gLS0Nf/vb3xAaGoq2tjZpu+eff97pOH//+9/x97//vd/xm5qa0NTUJP38y1/+EiUlJRzJISNRFJ1GEBoMBqxYsYKpgoncJD09HSUlJSgtLcWaNWucUkY2NjairKwMAKT0wUTkv1pbW6X02r2VlJRAEARUVVVxnmwiIiIiUgSOZCMi8nOORokFCxZg8uTJo9pXWloaAgIC8N577+Hjjz92R3gD6urqwvLly/Hyyy/jsssuk17YdHV1Seu88MILUgNbVVWV1MiiUqlw7bXXSvPEpKWlSaPaAODRRx/Fxo0bsWDBAgDA/PnzsWHDBukTGxsL4GJatF/84hfSdqWlpfj3v//NkRwyaW1tRUJCAm6//XapbPv27UhISEBCQgJaW1tljI5IGQRBkOparVaLnJwcmEwm5OTkQKvVSnXuaEZFE5Hv6zt/be+6gvPXEhGRv+FctUTKx0Y2IiI/545UkQ4RERFITEwEAI+ljGxvb0dSUhJef/11BAUF4bXXXsOqVatgNpud5lZbsWIFLBYLzGbzgD2lHXPIlZWV4auvvpLKH3nkEaSkpOCjjz4CADz99NN4/PHHpc/TTz8N4OJItuTkZGm78+fP44EHHuBIDhn0fZnnsGrVKr97mccHOPIklUqFqqoqqaHN8dLcZDIN2KmBiPxT7/lr6+rqUFRUhOzsbBQVFXH+WiIi8jucq5ZI+djIRkTk59zZyAb8p3HJE41sp06dwq233oqamhqEhIRg7969SEpKAnDx5e+SJUukdY1G45BpAnuPyEhISJDK77vvviFHZAy2HQD8+c9/5kgOGfR+mWc2m6XyZ555xu9e5vEBjjwtLCwMZrMZFosFWVlZSE5ORlZW1pCdGojIv1RUVAAAMjMzndLKAuD8tURERERejHPqjgznZCMi8mOffvop/vWvf2HcuHG45ZZb3LLPO+64A8HBwThy5Ihb9udw/PhxJCYmoqmpCVOnTsXevXsxf/78Ee/PMSKj73whL7zwAgAMOiJjsO0crrrqKo7kGGO9X+Zdd911Uvnnn38uvcwzmUwoLy+HIAgyRUmkHCqVSupwQETUl2NeWsc8tX1x/loiIiIi78M5dUeOI9mIiPyYY2TP/PnzERIS4pZ9BgcHY/ny5U5lBoNhWD1fRFF0Gm3k2O5f//oXFi9ejKamJlx99dXYt2/fqBrYHBwjMlxJMznYdo7UkZ9//jk++eSTUcdGw9f7ZZ4jzScAXHHFFVJ57/WIiIjIcxzz0jrmqe2L89cSEREReRfOqTs6bGQjIvJj7k4VCVzs+fK3v/3NqWz79u1ISEhAQkICWltbB90uISEBt99+e7/tYmJicOTIEXzrW9/CW2+9hWuvvdZt8bqaZnKw7V566SX893//NwDg8ccfd1t8dGm9X+bV1tZK5ZdddplU3ns9IiIi8hzHvLelpaVobGx0WtbY2Mj5a4mIiIi8DOfUHR02shER+TF3N7I5er70bWRbtWrVkD1f+vaYcXCMDjt79iyCg4NRW1uLb3zjG26J1RPWr1+PcePGYffu3Xj33XflDsdv9H6Z9/rrrzst48s8IiKisdV7/lqtVuvUE3qoeW+JiIiISB6cU3d02MhGROSnWlpa8M9//hMqlQqLFy92yz5793z50Y9+JJUvWrQIBQUFCAwMhNVqxYsvvgi73Y6vv/4aoig6bWc2m6XtLBYLAGDcuHHo7OzEP//5T7fE6SmzZ8/GihUrAACPPvqozNH4j94v83qPZLvvvvv4Mo+IiGiMOeavdXw3OxrYTCaT9J3M+WtpLBiNRsTExCAuLk7uUIiIiLwa59QdHTayERH5Kccotnnz5klzV41W754vP/nJT6RyvV6PtWvXoru7G8DFEUUREREICgpCYGAgkpKSAACXX345fvrTn0rbdXR0ICEhQWq48oUeM48//jguu+wyvPnmm/0miyXPcLzMW7BggVP5Cy+8wJd5REREMnDMX2uxWJCVlYXk5GRkZWVdct5bIncyGAxoampCfX293KEQkR9jgz/5Ak/PqSuKIiwWC/R6PVJSUqDX62GxWBQzxxsb2YiI/JQn5mPr3fNl3rx5UnlCQgIWLlyIadOmAQACAgKkZefOnZMa306fPo39+/dLy77//e/j9ddfx0033eS0f2/2jW98A9nZ2QCAxx57TDE3DN4uLCwM99xzj1PZihUr/O5lHh/giIjIW6hUKgiCgOLiYuzatQvFxcXDmveWiIhISdjgT77Ak3Pqtra2IiEhAQkJCSgpKcHu3btRUlIilbW2to7+BGTGRjYiIj/liUa2wXq+7Nq1C++88w5SUlIAACtXrkRPTw++/PJLNDc3IzU1FQBw2223obS0VNqurKwMEydOHHWPmbG2bt06TJw4EW+99Rb27t0rdzh+o+8EvEaj0e9e5vEBjnyJ0nszEhERERER+QJPzakriiJSU1OlKWJ67zcoKAhWqxWpqak+/wzIRjYiIj9kt9tx6NAhAHDbfGyAc8+XDz74wGlZ354v48aNQ2hoKKKioqTUkhaLBddcc420zWWXXTbqHjNyiIyMhMFgAHBxbjZfv1nwBRcuXHCaj42IvJs/9GYkIiIiIiLyBZ6aU9dqtUoNbHV1dSgqKkJ2djaKiopQV1cnNbT17TTta9jIRkTkhxxfXjfccAOuvPJKt+23d8+XhIQEqfy+++4bsufLSLfzZg8//DCCg4Nhs9nw2muv9Vve2dkJlUoFlUqFzs5OGSJUlsbGRrS2tmLSpElyh0JEl+AvvRmJiIiIiIh8hSfm1K2oqAAAZGZmQq1WOy1Tq9XQ6XQAgPLy8tGfgIzYyEZE9H/Wr18vNXo4Po45xJTGE6kigf49XxxeeOGFIXu+jHQ7b3bVVVdh7dq1AC7OzXbhwgV5A1I4q9UKAFi0aJG8gRDRJflLb0YlOHbsGARBQExMDG644Qb86U9/kjskIiIiIiLyEFfm1B1O+n+73Q4A0Gg0Ax7PUe5Yz1exkY2IqJfrrrsOLS0t0qdvykOl8FQjG/Cfni979uyRylasWHHJni8j3c6b/fSnP0VoaCg+/PBDVFZWyh2Oojka2dyZ/pSIPMNfejMqwfjx41FYWIimpia8+eabePDBBzn6moiIiIjIzw03/X94eDgAwGazDbgfR7ljPV/FRjYiol7Gjx+PadOmSZ+rrrpK7pDc7tSpU/jwww8BAEuWLPHIMVQqldO+jUbjoD1f3LGdtwoLC8PPf/5zAMAvf/lLnD9/XuaIlKmnp0eaj42NbETez196MyrB9OnTMW/ePAAXH3ynTJmCL774Qt6giIiIiIhINq6k/09PTwcAlJaWorGx0Wk/jY2NKCsrAwBkZGSM+Xm4ExvZiIh6+fjjjxEZGYlZs2bhRz/6Ef79738PuX53dzfa29udPt7u7bffBnBx1J4SGxG9zf3334+pU6fi448/lm4eyL3+9re/4csvv8TkyZOll8FE5L38pTfjWKitrUVycjIiIyOhUqmwc+fOfuts2bIFs2bNwsSJE6HRaLBv374RHevAgQO4cOECoqKiRhk1ERERERH5KlfS/wuCIE0No9VqnRrktFqtNEWMJzJtjSU2shER/Z+FCxeitLQUe/fuxXPPPYeTJ09i0aJFOH369KDbFBQUIDQ0VPr4wount956C4BnUkVSf5MnT8YjjzwCANiwYQO6u7tljkh5eqeKHD9+vLzBENEl+UtvxrHQ2dkJtVqNzZs3D7i8srISa9euxbp163Dw4EEsXrwYSUlJaG5ultbRaDSYO3duv8+JEyekdU6fPo3MzEyYTKYh4/HFzkdEREREw/XVV18hOjoaP/vZz+QOhUg2rqT/V6lUqKqqkhraHA1sJpNJamCrqqry2QxWDiNqZHO1N2RNTQ00Gg0mTpyIb37zmygqKnJavm3bNqhUqn6fr7/+eiThERGNSFJSEu666y5cf/31+M53voPXX38dALB9+/ZBt8nPz0dbW5v0OXbs2FiFO2JsZBt7ubm5mD59Oj755BOUlJTIHY7iOBrZBEFAcHAwRFGEKIoIDg6WNzAiGpC/9GYcC0lJSXjiiSeQmpo64PJNmzYhKysLer0ec+bMQWFhIaKiorB161ZpHZvNhg8//LDfJzIyEsDFhrPly5cjPz8fixYtGjIeX+x8RERERDRcv/71r7Fw4UK5wyCSlavp/8PCwmA2m2GxWJCVlYXk5GRkZWXBYrHAbDYjLCxsbAL3IJcb2YbTG7K3I0eO4LbbbsPixYtx8OBB/OIXv8D999+PV1991Wm9kJAQtLS0OH0mTpw4srMiInKD4OBgXH/99fj4448HXScwMBAhISFOH2/n6fnYqL+goCA8+uijAIAnnngCXV1dMkekHD09PaipqQFw8cW9vzMajYiJiUFcXJzcoRANyl96M8rt7NmzsNlsSExMdCpPTEzE/v37h7UPURSxcuVKJCQkSD1Sh+KLnY+IiIiIhuPjjz/G3//+d9x2221yh0Ikq5Gk/1epVBAEAcXFxdi1axeKi4shCIJinvlcbmQbTm/I3oqKijBz5kwUFhZizpw50Ov1WLVqFX73u985radSqTBt2jSnDxGRnLq7u3Ho0CFMnz5d7lDcShRFXHvttaxnx5her0d0dDRaWloG/c4k1zU2NqKtrQ2TJ09GbGys3OHIzmAwoKmpCfX19XKHQjQkf+jNKLdTp06hp6cHERERTuURERE4efLksPbx9ttvo7KyEjt37sS8efMwb948fPDBB4Ou74udj8h3iaIIi8UCvV6PlJQU6PV6WCwWiKIod2hERDTGxmKe2p/97GcoKChwU8REvovp//tzaeISR29Ix9wyDkP1hqyrq+vXe3LZsmUoKSnBuXPncNlllwEAOjo6EB0djZ6eHsybNw+/+tWvhnxZ1t3d7TSvDfP9E9Fo/exnP0NycjJmzpwJu92OJ554Au3t7VixYoXcobkdU3CNvQkTJuCXv/wlVq1ahYKCAtxzzz1yh6QInI+NyHc5ejNyFKpn9e0dKorisHuM3nLLLbhw4YInwiIaldbWVqSmpkr3AQ4lJSXSaFg21hMR+Q/HPLX33nsv7rrrrn7LHZnZtmzZgptvvhnPPvsskpKS0NTUhJkzZwK4mOJuoDnU33jjDdTX12P27NmYPXv2sDMC8N01KZXjGc5qtUKr1UKn00Gj0cBms6GsrMwv0/+79DZqJL0hT548OeD658+fx6lTpzB9+nRce+212LZtG66//nq0t7fjD3/4A26++WY0NjbimmuuGXC/BQUF2LBhgyvhExEN6dNPP8V///d/49SpU7jqqqtw00034Z133kF0dLTcoY2KKIpSOj2HqVOnuvSSjdxDp9OhoKAAH3/8MR566CGp3GAwYMWKFYoaKj9Wes/HRkRE/zF16lQEBAT0e06z2+39ns/czWg0wmg0oqenx6PHIf8kiqLUwBYUFITMzEzpxU5paSmsVitSU1NhNpt5X0VE5CeSkpKQlJQ06PLemdkAoLCwEHv37sXWrVul0WmDpb4DgHfeeQcvv/wy/vSnP6GjowPnzp1DSEgIHn/88UG34btrUipH+n/H/ZjJZHJa7o/p/11OFwm43htyoPV7l990003IyMiAWq3G4sWL8cc//hGzZ8/G//t//2/QfTLfPxG528svv4wTJ07g7NmzOH78OF599VXExMTIHdaotLa2IiEhAbfffrtT+a9//WskJCSgtbVVpsj80/jx4/Hzn/8cAKTh8wCwfft2JCQk8N/ERT09PaitrQUALF26VOZoiIi8y4QJE6DRaFBdXe1UXl1djUWLFnn02ExdS55ktVqlBra6ujoUFRUhOzsbRUVFqKurQ1BQEKxWa79OZkRE5J/cMU9tQUEBjh07hqNHj+J3v/sdsrOzh2xgA/jumpSN6f+duTSSbSS9IadNmzbg+uPHj8eVV1454Dbjxo1DXFwcPv7440FjCQwMRGBgoCvhExH5lb69fLu6ugAAISEhOHfuHHv5ykAURbz44ov9yletWoWXXnqJ/yYucszHFhISgnnz5skdDhHRmOvo6MDhw4eln48cOYKGhgZMmTIFM2fORF5eHnQ6HRYsWACtVguTyYTm5masXr1axqiJRqeiogIAkJmZCbVa7bRMrVZDp9PBZDKhvLycI92JiMgt89SOhOPdNUf4k1Ix/f9/uDSSbSS9IbVabb/133jjDSxYsECaj60vURTR0NCA6dOnuxIeERH10ruXr9lslspTU1PZy1cmjn+TCRMmOJU/88wz/DcZAc7HRkT+7sCBA4iNjZXmss7Ly0NsbKzUszotLQ2FhYXYuHEj5s2bh9raWuzZs8fjqbCNRiNiYmIQFxfn0eOQf7Lb7QAuzp0zEEe5Yz0iIiJgdPPU9rZy5Ur87ne/G/b6HOFPpHwup4vMy8tDcXExnn/+eRw6dAgPPvigU2/I/Px8ZGZmSuuvXr0an3zyCfLy8nDo0CE8//zzKCkpwc9+9jNpnQ0bNmDv3r3497//jYaGBmRlZaGhoYE9LImIRqF3L9/Zs2dL5bfccovUyxcAysvLZYnPHzn+TVauXCm9EAUu3tzz38R1FosFAOdjIyL/JQgCRFHs99m2bZu0Tm5uLo4ePYru7m7YbDYsWbLE43HxZRJ5Unh4OIDB585xlDvWI9937NgxCIKAmJgY3HDDDfjTn/4kd0hE5EPknKcWYOcjIleIogiLxQK9Xo+UlBTo9XpYLBZp+jFv5XIj26V6Q7a0tKC5uVlaf9asWdizZw+sVivmzZuHX/3qV3jmmWdw1113Set8+eWX+PGPf4w5c+YgMTERx48fR21tLW688UY3nCIRkX/q3cv3qaeeksq/973vSeW91yPPc/yuFyxYgPXr10vljzzyCC5cuMB/Exf0no+NjWxERET+Iz09HQBQWlqKxsZGp2WNjY3SvLcZGRljHht5xvjx41FYWIimpia8+eabePDBB9HZ2Sl3WETkI+ScpxZg5yOi4WptbUVCQgISEhJQUlKC3bt3o6SkRCprbW2VO8RBjSi3Um5uLnJzcwdc1rvXpEN8fDzef//9Qff3+9//Hr///e9HEgqR24iiCKvVioqKCtjtdoSHhyM9PR2CIHBupEvg7847OXrvvvHGG9i5c6dUfsUVVwBgL1859O55/fTTT0vlRqMRZ86ckdJI8t/k0hoaGtDe3s752IiIiPyMY+4Pq9UKrVYLnU4HjUYDm82GsrIydHV1QRAExMfHyx0qucn06dOl6UTCw8MxZcoUfPHFFwgODpY5MiLyFpynlsi3iaKI1NRUadqbzMxM6f6utLQUVqsVqampMJvN3vmuWVSItrY2EYDY1tYmdyjkg7744gtREAQRQL+PIAjiF198IXeIXmukvzulXrPedF5ms1kEIKpUKqd/l46ODrGhoUEMCgoSAYgWi2XI/XR0dDhtO1xjvZ0vxOr4NwkKChLr6uqkbQMCAkQA4rhx44b1b0Ki+Lvf/U4EIH7/+98f1X686Zp1J6WeF5FSKfWaVep5kfz4/OYZI71ma2pqxO9///vi9OnTRQDijh07+q1jNBrFb3zjG2JgYKA4f/58sba2dkQx1tfXi9ddd51L27AuIvItI7lmLRbLgN8JK1askNYxGo1idHS0OGHCBHH+/PliTU2NB6Lvb/PmzeKcOXPE2bNnsy4iGkTv92UNDQ1Oy1x5h+lOrtRFLqeLJFIasU9LeU5ODkwmE3JychAUFCS1lItenvtVDvzdeTdBEPDNb36z3+//vvvug1arZS9fGTh6Xnd1dSEhIUEqX7p0KQDgwoULCA0N5cisYbBarQCYKpKIyBtx7hHytLCwMJjNZlgsFmRlZSE5ORlZWVmwWCwwm80ICwuTO0S/0tnZCbVajc2bNw+4vLKyEmvXrsW6detw8OBBLF68GElJSU5TjWg0GsydO7ff58SJE9I6p0+fRmZmJkwm05DxdHd3o7293elDRMrmrfPUAkwXSTQcFRUVAIDMzEyo1WqnZWq1GjqdDgBQXl4+5rENx4jSRRIpidVqlRqJ6urqpAs5Ozsba9asgVarhdVqRU1NDV/m9sHfnXf7+OOPcfz48X7lL7zwAoCLN6FVVVXeOcxaoVQqFaqqqqTGaYc333wTABAQEIC2tjYkJCTgf//3f5k2chD+MB/bmTNnkJCQgHPnzqGnpwf3338/srOz5Q6LiGhYDAYDDAYD2tvbERoaKnc4pFAqlUrqwETySkpKQlJS0qDLN23ahKysLOj1egBAYWEh9u7di61bt6KgoADAf1LZD6a7uxvLly9Hfn7+JedQKigowIYNG1w8CyIiIpKL3W4HcLHTzUAc5Y71vA1HspHf8/WWcjnxd+e9Lly4gKysLHR3dyMxMRF79uyRlq1YsYK9fN0kODhY6iE33DkhHD2vB/o3ee+993DVVVfh4MGDuOWWW/DJJ594KnSfdvDgQcXPx3b55ZejpqYGDQ0NePfdd1FQUIDTp0/LHRYRERGRS86ePQubzYbExESn8sTEROzfv39Y+xBFEStXrkRCQoL0jDmU/Px8tLW1SZ9jx46NKHYiInfgCH+iS3N0Mh+s042j3Fs7o7ORjfyer7eUy4m/O++1detWvPXWW5g0aRJMJpNTGgSj0QhBEDiCTUYqlWrAf5P58+fjrbfewsyZM/Hxxx/j5ptvRlNTk4yReifHKMAlS5YgICBA3mA8JCAgAJdffjkA4Ouvv0ZPTw9T7xIREZHPOXXqFHp6ehAREeFUHhERgZMnTw5rH2+//TYqKyuxc+dOzJs3D/PmzcMHH3ww6PqBgYEICQlx+hARyYXpIokuLT09HQBQWlqKxsZGp2WNjY0oKysDAGRkZIx5bMPBRjbye77eUi4n/u680yeffIJHHnkEAPA///M/iI6OljkicsXs2bPx9ttvIyYmBsePH8fixYvx3nvvyR2WV/GG+dhqa2uRnJyMyMhIqFQq7Ny5s986W7ZswaxZszBx4kRoNBrs27fPpWN8+eWXUKvVmDFjBh566CFMnTrVTdETERERja2+HfxEURx2p79bbrkFFy5cQENDg/S5/vrrL7kdR48QERH5BkcK8K6uLmi1WuTk5MBkMiEnJwdarRZdXV0QBAHx8fFyhzogNrKR3/P1lnI58XfnfURRxI9//GN0dHRg8eLFWLNmjdwh0QjMmDEDtbW1uPHGG/HFF18gISFBmrfN350/f15qrJKzka2zsxNqtRqbN28ecHllZSXWrl2LdevW4eDBg1i8eDGSkpLQ3NwsraPRaDB37tx+nxMnTgAArrjiCjQ2NuLIkSN48cUX8dlnnw0aT3d3N9rb250+ROQaURRhsVig1+uRkpICvV4Pi8XCUaQjwBfbROQwdepUBAQE9Bu1Zrfb+41uczeOHiEib8D7IqJLU6lUqKqqkhraHA1sJpNJamCrqqry2qxc4+UOgEhujpZyq9UKrVYLnU4HjUYDm82GsrIyr28plxN/d95n+/bteOONNzBx4kQUFxdj3Dj2pfBVV155Jf7617/izjvvxF//+lfcfvvtqKiowJVXXomKigrY7XaEh4cjPT3dr9J/NjQ0oL29HaGhobLOx5aUlISkpKRBl2/atAlZWVnQ6/UAgMLCQuzduxdbt25FQUEBgMFHAfcVERGBG264AbW1tfjBD34w4DoFBQXYsGGDi2dBRA6tra1ITU2VRso6lJSUSA90nMd0+AwGAwwGg1RfE5H/mjBhAjQaDaqrq7F8+XKpvLq6GnfccYeMkRGNLVEUYbVa/fpZzl/xvohoeMLCwmA2m1FTU4Py8nKprszIyEB8fLxX15VsZCO/52gpd7xYMZlMTsu9vaVcTvzdeZeWlhY8+OCDAIANGzZg9uzZMkdEozVp0iS8/vrrSE9Px6uvvjpgA4u/vQD2hfnYzp49C5vNJqVtdUhMTMT+/fuHtY/PPvsMQUFBCAkJQXt7O2pra4ccmZqfn4+8vDzp5/b2dkRFRY3sBIh8zGhfWomiKN3LBAUFITMzU+o0VFpaCqvVitTUVJjNZt7TEBENoKOjA4cPH5Z+PnLkCBoaGjBlyhTMnDkTeXl50Ol0WLBgAbRaLUwmE5qbm7F69WoZoyYaO+zMQ0Q0PCqVShrU4UvYyEYE324plxt/d95BFEUYDAZ8+eWX0Gg0Ti/b/UlwcLDi0noFBgbi5ZdfxsyZM9HS0gIAWLhwIbKysvzyBbA3zMd2KadOnUJPT0+/FEgRERH9UiUN5tNPP0VWVhZEUYQoivjJT36CG264YdD1AwMDERgYOKq4iXyRO15aWa1WqYGtrq4OarUaAJCdnY01a9ZAq9XCarWipqbGq+seInIvjjoZvgMHDmDp0qXSz45nkRUrVmDbtm1IS0vD6dOnsXHjRrS0tGDu3LnYs2ePx+eONhqNMBqN6Onp8ehxiIbCzjxERMrHRjai/+OrLeXegL+7sdPZ2YlJkyYBuNhjNDg4GADwyiuvYMeOHRg/fjyef/55jB/P6l1J9u3bh5aWFowfPx7nz5/Hu+++i/j4eGzdutWvXgCfP38etbW1ALy7kc2h70OyKIrDfnDWaDRoaGhw+Zh8mUT+xF0vrSoqKgAAmZmZUgObg1qthk6ng8lkQnl5uU/UPUQ0ehx14hpBEC7Z0S03Nxe5ubljFNFFTNFG3oCdeYiIlI+T9RAR+bjTp0/jJz/5CYCLKeOGGu1CvsnxAjgrKwtPPPEEAOCpp55CSUmJ9AIYAMrLy2WLcSwcPHgQZ86cQWhoaL8X4d5k6tSpCAgI6DdqzW639xvd5m4GgwFNTU2or6/36HGIvEHfl1ZFRUXIzs5GUVER6urqEBQUJL20GordbgdwsXF7II5yx3p0aUajETExMYiLi5M7FCKX9W3Az8nJgclkQk5OjlSvpKamKi57AhF5xnA68wDKf5bzZ7wvIlI+NrIREfm4Bx98EHa7HTExMVi3bp3c4ZAH9H4BvG7dOmzcuBEA8LOf/QzHjh3zmxfAvjAfGwBMmDABGo0G1dXVTuXV1dVYtGiRTFERKY+7XlqFh4cDAGw224DLHeWO9ejS2OBPvsxdDfhERAA78xDvi4j8ARvZiIh82J49e1BWVoZx48bh+eef55xMCtX3BXB+fj5uvPFGtLW1ISsrCwcOHHBaT6kcjWy95/yQS0dHBxoaGqSUjkeOHEFDQwOam5sBXJyLpLi4GM8//zwOHTqEBx98EM3NzVi9erVH42IvSfIn7npplZ6eDgAoLS1FY2Oj07LGxkaUlZUBADIyMkYVLxH5Bo46ISJ3YmceIiLlYyMbEZGPam9vR05ODgBg7dq1WLhwocwRkSuCg4MhiiJEUZTm1htM3xfA48ePx/bt2zFx4kRUV1dj27ZtAJT9Avj8+fPYt28fAO+Yj+3AgQOIjY1FbGwsgIuNarGxsXj88ccBAGlpaSgsLMTGjRsxb9481NbWYs+ePYiOjvZoXOwlSf7EXS+tHPPKdnV1QavVOqWG02q16OrqgiAIiI+Pd+8JEJFX4qgT5WDnI/IG7MxDROQZoijCYrFAr9cjJSUFer0eFotFlpTe48f8iERENCKiKDqlpREEAZ9++im++c1v4le/+pWMkZGnOV4AW61WaLVa6HQ6aDQaxMbGoq6uDufOncPChQsV/QLYMR/bFVdc4RXzDgqCcMkbt9zcXOTm5o5RRET+Jz09HSUlJSgtLcWaNWucRpy48tJKpVKhqqpKmoPJZDI5LRcEAVVVVVCpVO4/CSLyOr0b8LOzs/st56gT32EwGGAwGNDe3o7Q0FC5wyE/NdiznM1mQ1lZGTvzEBGNQGtrq/T81ltJSYn0/BYWFjZm8bCRjYjIBwz05fHPf/4TABASEoLu7m5cfvnlMkVHnnapF8AOFy5c8Oq5ykbDYrEA8P752ORmNBphNBrR09MjdyhEHufOl1ZhYWEwm82oqalBeXk57HY7wsPDkZGRgfj4eDawEfkRdzXgExEB7MxDfEYjcjdRFKU6NSgoCJmZmdJzYGlpKaxWK1JTU2E2m8esblWJcoyf8wBHz6S2tjaEhITIHQ4RXYJSr1lPnJcoikhISJC+PLq6uqRl48ePx/nz5yEIwpBfHp2dnZg0aRKAi3NJXSo9oTu2HevtRkOOY46EYzRj7xfA3/nOd5CdnY2Ojg785je/wUMPPSR3mB5x22234S9/+Qs2bdqEBx980G37ZV1E5NsG68EIQJYejCOl1GtWqedFytb33nuwBvyxfHEzVpR6zSr1vMi3DPQsx848A1PqNavU8yIaaxaLBQkJCQgKCkJdXV2/DlGOlP8Wi2VU0424cs1yJBsRkZezWq3SQ77ZbIZWqwUAXH311aisrMR3v/tdWK1W1NTUeMVcVeQ5KpVKGrnRW2dnJ/R6PR577DEkJSXh+uuvlydAD/G2+diIyHtwBJp3Yo9t8mUcdUJEnjDYsxwREbmmoqICAJCZmenUwAYAarUaOp0OJpMJ5eXlY1bnspGNiMjL9f7yqK+vl8qfeeYZ3HzzzbJ8eZB3WbVqFXbs2IHXX38dK1aswDvvvIMJEybIHZbbvP/+++jo6EBYWFi/GygiIr608j6cB4l8HRvwlYEN/kRERMpjt9sBABqNZsDljnLHemNh3JgdiYiIRsTxpfDpp5/i/vvvl8qXLVsGQJ4vD/IuKpUKzz33HKZMmYKDBw/iiSeekDskt3KkgVuyZAnGjeOty1CMRiNiYmIQFxcndyhEREQ+zdGAX1xcjF27dqG4uBiCILCBzYcYDAY0NTU5dVQkIiIi3xYeHg4AsNlsAy53lDvWGwt8U0VE5OWmTp0KAHj99dcHXC7Hlwd5n+nTp2Pr1q0AgCeffFJRLxMcjWwcpXJpfJlEREREREREREqVnp4OACgtLUVjY6PTssbGRpSVlQEAMjIyxiwmNrIREXmxjo4OfPTRR9LPDz/8sNNyub48yDv98Ic/RFpaGnp6epCZmYmuri65Qxo1zsdGREREREQ0cqIowmKxQK/XIyUlBXq9HhaLBaIoyh0aEZHLHFMFdHV1QavVIicnByaTCTk5OdBqtejq6oIgCIiPjx+zmDgnGxGRl7Lb7bj99ttx4MABjBs3DhcuXMAzzzwjLb/vvvvw8ssvy/LlQd7LaDSipqYGf//737Fu3Tps2rRJ7pBGxWazSfOx3XDDDXKHQ0RERERE5DNaW1uRmpoqZQdxKCkpgSAIqKqqQlhYmDzBERGNgEqlQlVVlVS3mUwmp+WOum0sU3xzJBsRkRc6fPgwFi1ahAMHDuDKK6/EX/7yF6mXhsMLL7wgNbCN9ZcHea8rr7wSJSUlAIDCwkLU1NTIHNHocD42IiIiIiIi14miKL2EDgoKchrtERQUBKvVitTUVI5o8zDOm03kfmFhYTCbzbBYLMjKykJycjKysrJgsVhgNpvHvPMA31YREXmZ9957D4sWLcK//vUvzJo1C/v370diYiLMZjP27NkjrbdixQrZvjzIu912223Q6/UQRRErV67EmTNn5A5pxByNbEuXLpU3EB/BBzgiIiKii3hfRP7OarVKDWx1dXUoKipCdnY2ioqKUFdXJzW0+XrHTG/HebOJPEOlUkEQBBQXF2PXrl0oLi6GIAiyDEJgIxsRkRd5/fXXsXTpUnz++eeYP38+9u/fj9mzZwO4+OWxZMkSaV2j0Sjblwd5v6effhrR0dE4evQo8vLy5A5nRM6dO4e33noLAOdjGy4+wBERERFdxPsi8ncVFRUAgMzMTKjVaqdlarUaOp0OAFBeXj7msRERKQkb2YiIvERJSQnuuOMOfPXVV1i2bBmsViumTZvmln0HBwdDFEWIoojg4GC37NMbj0n/ERISgm3btgEAiouLnUZB+or3339fmo/t+uuvlzscIiIiIiIin2G32wEAGo1mwOWOcsd6REQ0MuPlDoCIyJ+Iogir1YqKigrY7XaEh4fjnnvuwb59+7B+/XoAF3uZFRcX47LLLpM3WPJ5giBg7dq1KCwshE6nw2233Ya2tjaEh4cjPT19WCMhB/qbHc62I92u97YPPfQQgIsNhjU1NRy5SUTkI4xGI4xGI3p6euQOhYiIyG+Fh4cDAGw2G7Kzs/stt9lsTusREdHIqESFzG7Z3t6O0NBQtLW1ISQkRO5wiOgSvPma3bJlC37729+ipaUF1113HQoLC7F48eJhbTvUebW2tkqTDg/mF7/4BZ544gmvakjo7OzEpEmTAAAdHR0eH5U21seT65hj5cSJE/iv//ovdHV19VsmCAKqqqoGndNvqL/ZobYd6Xaj3XYkvLkuGg2lnheRUin1mlXqeREplVKvWaWeF9GlWCwWJCQkSHOy9U4Z2djYCK1Wi66uLlgsFq9Kz6/Ua1ap50WkVK5cs0wXSUTUS2VlJdauXYt169bh4MGDWLx4MZKSktDc3Dyq/YqiKDUcBAUFIScnB5s3b0Z0dLS0zjXXXON1DWzk20RRRHp6ulMD249//GPk5ORIk1ynpqZioP42A/3NmkymS2470u0G2nb8+IsD7u++++5LbksXGY1GxMTEIC4uTu5QiIiIiIhIRoIgQBAEdHV1QavVOj2bORrYBEFAfHy83KESEfk0jmQjIll46zW7cOFCzJ8/H1u3bpXK5syZgzvvvBMFBQWX3H6w8+rbgywyMhLJycl49913MWHCBADA2bNnva4HGcCRbL6s999dRkYGnnvuOUyZMgUPP/wwWlpaYDQace7cOeTk5OBb3/qW07aHDx+GyWTCZZddBoPBgMjISGnZiRMnBt12pNv13fZHP/oRysrKMGXKFHz++ef44IMPPNLT0lvrotFS6nkRKZVSr1mlnheRUin1mlXqeRENx1hnCnEHpV6zSj0vIqVy5ZrlnGxERP/n7NmzsNlseOSRR5zKExMTsX///gG36e7uRnd3t/Rze3v7gOtVVFQAuDjfmlqtRmJiIt59912EhYVh9+7dKC0thclkQnl5udc1svmD4OBgRY6O6v1398wzz6C+vh4NDQ14+OGHndZ79tlnB93HuXPnUFhYOOjywbYd6XaObcvKygAA8fHxGDduHNRqNXQ6Ha8TIiIiIiKiYQoLC4PZbEZNTQ3Ky8ul+bIzMjIQHx/PTDpERG7ARjYiov9z6tQp9PT0ICIiwqk8IiICJ0+eHHCbgoICbNiw4ZL7ttvtAACNRgMA+MMf/oD09HRUVFRgzpw5+Oijj5zWI3KH3n93EyZMwCuvvILf/OY3UsPwP//5T7zzzjuYMWMGEhISnLY1m8349NNPcdNNN2H27Nn99j3YtiPdbqBtAwMDkZeXJy13XD+8ToiIiIjoUoxGI4xGI3p6euQOhUhWKpVKSh1JozN+/HjMnTsXALBgwQIUFxfLHBEReQM2shER9dG3J5coioP27srPz3dqBGhvb0dUVFS/9cLDwwEANpsN2dnZmDNnDmw2m7Rfm83mtB6RO/T9u/vWt74Fk8kkLc/JycE777yDZcuW9Xs40Ov1KCkpgVqtRlFRUb99D7btSLcbzra8ToiIiIhouAwGAwwGg5TuiYhotK644go0NDTIHQYReZlxcgdAROQtpk6dioCAgH6j1ux2e7/RbQ6BgYEICQlx+gwkPT0dAFBaWorGxkYA/2nMa2xslFLjZWRkuOVciICB/+4cLvV3N9Jt5TgmERERERERERGRHNjIRkT0fyZMmACNRoPq6mqn8urqaixatGhU+3akZujq6oJWq0VOTg5MJhNycnKg1WrR1dUFQRAQHx8/quMQ9Taav7uRbivHMYmIiIiIiMi/1dbWIjk5GZGRkVCpVNi5c2e/dbZs2YJZs2Zh4sSJ0Gg02Ldvn0vHaG9vh0ajwS233IKamho3RU5Evo7pIomIesnLy4NOp8OCBQug1WphMpnQ3NyM1atXj2q/KpUKVVVVSE1NhdVqdUrZB1xsXKiqquKkw+RWo/m7G+m2chyT/oNzjxARERERkT/q7OyEWq3Gvffei7vuuqvf8srKSqxduxZbtmzBzTffjGeffRZJSUloamrCzJkzAVycB9wxh3lvb7zxBiIjI3H06FFERkbiww8/xO23344PPvhg0IxG3d3dTvtqb29305kSkbdRiaIoyh2EOzhybLe1tQ1auRGR9/Dma3bLli146qmn0NLSgrlz5+L3v/89lixZMqxtL3VeoiiipqYG5eXlsNvtCA8PR0ZGBuLj47224aCzsxOTJk0CAHR0dCA4OFhRx/MHo/m7G+m2chxzJLy5LhoNpZ4XkVIp9ZpV6nkRKZVSr1mlnheRUrnjmlWpVNixYwfuvPNOqWzhwoWYP38+tm7dKpXNmTMHd955JwoKClw+RlJSEn71q19hwYIFAy5fv349NmzY0K+cdRGRb3ClLmIjGxHJQqnXrBLPi41spGRKvGYB5Z4XkVIp9ZpV6nkRKZVSr1mlnheRUnmike3s2bO4/PLL8ac//QnLly+X1nvggQfQ0NAwrNSPra2tuPzyyxEYGIhPP/0UN998Mw4ePIgpU6YMuP5AI9mioqJYFxH5CFfqIqaLJCIirxIcHAyF9P8gIiIiIpKFKIqwWq2oqKiQMgOkp6dDEASvzaBBROQpp06dQk9PDyIiIpzKIyIicPLkyWHt49ChQ8jJycG4ceOgUqnwhz/8YdAGNgAIDAxEYGAgU/oT+QE2shEREREREZHb8GUSkbxaW1ulOW57Kykpkea4DQsLkyc4IiIZ9e1kIIrisDseLFq0CB988IHLxzQYDDAYDNKoGCJSHjayycBbepQxjpFzJWZXz89T+/ZkHERERER0Ee+h+DKJaDg8VVeIoig1sAUFBSEzMxMajQY2mw2lpaWwWq1ITU2F2Wz2mzqJiOTjLfdFU6dORUBAQL9Ra3a7vd/oNndj5yMi+Xm8LhIVoq2tTQQgtrW1yR3KkL744gtREAQRQL+PIAjiF198wThkiMMVrsTs6vl5at+ejGOkfOWadZUSz6ujo0P69+/o6JA7HCK3UuI1K4rKPS8ibzfSeyilXrNKPS+i0fLk85bZbBYBiEFBQWJDQ4PTsoaGBjEoKEgEIFosln7bKu2a3bx5szhnzhxx9uzZijovIl8h530RAHHHjh1OZTfeeKO4Zs0ap7I5c+aIjzzyyIiP4wql1bFEvmIs6qJxrjbKAcCWLVswa9YsTJw4ERqNBvv27Rty/ZqaGmg0GkycOBHf/OY3UVRU1G+dV199FTExMQgMDERMTAx27NgxktC8mtinR1lOTg5MJhNycnIQFBQk9SgTPTwXEeMYOVdidvX8PLVvT8ZBRERERBfxHoqIhsPTdUVFRQUAIDMzE2q12mmZWq2GTqcDAJSXl4/uRHyAwWBAU1MT6uvr5Q6FyO/IcV/U0dGBhoYGNDQ0AACOHDmChoYGNDc3AwDy8vJQXFyM559/HocOHcKDDz6I5uZmrF692m0xEJF3GbO6yNWWv5dfflm87LLLxOeee05samoSH3jgATE4OFj85JNPBlz/3//+t3j55ZeLDzzwgNjU1CQ+99xz4mWXXSa+8sor0jr79+8XAwICxCeffFI8dOiQ+OSTT4rjx48X33nnnWHH5Qu9AUbTo4xxeAdXYnb1/Dy1b0/GMRq+cM2OhBLPiyPZSMmUeM2KonLPi8ibcfRIf0o9L6LR8PTzVnJysghANJlMAy5/9tlnRQBicnJyv2VKvWaVel5E3kyO+yKLxTLgSJUVK1ZI6xiNRjE6OlqcMGGCOH/+fLGmpmYkp+cSjqolks9Y1UUuj2TbtGkTsrKyoNfrMWfOHBQWFiIqKgpbt24dcP2ioiLMnDkThYWFmDNnDvR6PVatWoXf/e530jqFhYX47ne/i/z8fFx77bXIz8/HrbfeisLCwkHj6O7uRnt7u9PH23lLjzLGMXKuxOzq+Xlq356Mg4iIiIgu4j0UEQ2Hp+uK8PBwAIDNZhtwuaPcsR4RkSfIcV8kCIKU0an3Z9u2bdI6ubm5OHr0KLq7u2Gz2bBkyRK3HX8wHFVLJJ+xqotcamQ7e/YsbDYbEhMTncoTExOxf//+Abepq6vrt/6yZctw4MABnDt3bsh1BtsnABQUFCA0NFT6REVFuXIqsrDb7QAAjUYz4HJHuWM9xjE2cbjClZhdPT9P7duTcZB/CA4Olm5Og4OD5Q6HiIjIK/EeioiGw9N1RXp6OgCgtLQUjY2NTssaGxtRVlYGAMjIyBjR/omIhoP3RUTkDcaqLnKpke3UqVPo6elBRESEU3lERAROnjw54DYnT54ccP3z58/j1KlTQ64z2D4BID8/H21tbdLn2LFjrpyKLLylRxnjGDlXYnb1/Dy1b0/GQURE3sVoNCImJgZxcXFyh0Lkd3gPRUTD4em6QhAECIKArq4uaLVap7lHtFoturq6IAgC4uPjR3YCRETDwPui/+AzGpF8xqwuciWH5fHjx0UA4v79+53Kn3jiCfHb3/72gNtcc8014pNPPulU9tZbb4kAxJaWFlEURfGyyy4TX3zxRad1ysvLxcDAwGHH5gs5tr1lDjLGMXLeMheat8QxGr5wzY6EUs+LSKmUes0q9byIvBnnZOtPqedFNBpj8bz1xRdfiIIgDDg3kSAI4hdffDHgdkq9ZpV6XkTejPdF/Sn1vIi82VjVReNdaZCbOnUqAgIC+o0ws9vt/UaiOUybNm3A9cePH48rr7xyyHUG26evcvQos1qt0Gq10Ol00Gg0sNlsKCsrG7MeZYxj5FyN2dV1PblvT8VBRERERLyHIqLhGYu6IiwsDGazGTU1NSgvL4fdbkd4eDgyMjIQHx8PlUrlxjMiIuqP90VE5A3GrC5ytfXvxhtvFNesWeNUNmfOHPGRRx4ZcP2HHnpInDNnjlPZ6tWrxZtuukn6+Yc//KGYlJTktM73vvc98Uc/+tGw4/KV3gAj7VHGOLyHKzG7en6e2rcn4xgpX7lmXaXU8yJSKqVes0o9LyJvx9EjzpR6XkSj5a3PwUq9ZpV6XkTejvdFzpR6XkTebizqIpUoiqIrjXKVlZXQ6XQoKiqCVquFyWTCc889h48++gjR0dHIz8/H8ePHUVpaCgA4cuQI5s6di5ycHGRnZ6Ourg6rV6/GSy+9hLvuugsAsH//fixZsgS//vWvcccdd+C1117Do48+irfeegsLFy4cVlzt7e0IDQ1FW1sbQkJCXDmlMSeKolf0KGMcI+dKzK6en6f27ck4RsKXrllXKPW8iJRKqdesUs+LyBeM5B5KqdesUs+LyB288TlYqdesUs+LyBfwvujinGxGoxE9PT345z//qZjzIvIlnq6LXG5kA4AtW7bgqaeeQktLC+bOnYvf//73WLJkCQBg5cqVOHr0KKxWq7R+TU0NHnzwQXz00UeIjIzEww8/jNWrVzvt85VXXsGjjz6Kf//73/jWt76FX//610hNTR12TEqrgImUTqnXrFLPi0iplHrNKvW8iJRKqdesUs+LSKmUes0q9byIlEqp16xSz4tIqVy5Zl2ak80hNzcXubm5Ay7btm1bv7L4+Hi8//77Q+7z7rvvxt133z2ScIiIiIiIiIiIiIiIiIjG1Di5AyAiIiIiIiIiIiIiIiLyNWxkIyIiIiIiIiIiIiJyM6PRiJiYGMTFxckdChF5yIjSRXojx9Ry7e3tMkdCRMPhuFZHMC2kV2NdRORbWBcRkTdgXURE3kBpdZHRaITRaMT58+cBsC4i8hVKq4sMBgMMBgPa2tpwxRVXsC4i8hGu1EWKaWQ7c+YMACAqKkrmSIjIFWfOnEFoaKjcYbgN6yIi38S6iIi8AesiIvIGSqmLHC+2P/30U0RFRbEuIvIxSqmLHHhfROSbhlMXqUSFdAu4cOECTpw4gcmTJ0OlUskdjldrb29HVFQUjh07hpCQELnD8Un8HY6eKIo4c+YMIiMjMW6ccjLXDrcu4t/Q0Pj7GRp/P0Nz5ffjb3VRXFwc6uvrpZ+98W+pb4xy79PVbYez/qXWGWr5YMsGKue/r3u3He66I/n39Ze6aLDfjTf+rbrKE3/bY3m80e7PE3WlK+uOpl719b8/d/4tKL0uSkhIwIEDBwZdz9f/FkZjrOuwSxmreNx5HHfsayT7kLP+9dQ1o/S6qPczWu/fseP/PVkXeepvzNXnl+GUDfazN/1+PPG7Gax8qN9P7//31O/HH/92XKmLFDOSbdy4cZgxY4bcYfiUkJAQv7txdDf+DkdHST2SHFyti/g3NDT+fobG38/Qhvv78ae6KCAgYMDfiTf9LQ0Wo1z7dHXb4ax/qXWGWj7YsqG24b+ve7Yd7roj/ff1h7roUr8bb/pbdZUn/rbH8nij3Z8n6sr/z96dx0VV/f8Dfw2iiDumkAuamqa4oKIZZjFSaVZaYuU3WayPECplZattLmm0aVSiNkoZS2klWZblEgyYUiIKLphbmubSpKGI4gKc3x/+5jYzzAwzzHJneT0fDx7KvXfuvO+dew937vu+z7FmWVvaVS13Pf7sfSx4clvk6+tr0b5y12PBFs5uw+rirHjs+T72WFd91iF3+ws45pzx5LZIl+4+NtzfjtivjjrGrP3+Ysm0un53hf3jiH1jarq5/WFseXvvH289dixtizzncQAiIiIiMispKUnuEOrkiBhtWae1r7Vk+bqWMTff1Dx3+GwB9/58LV3Wls/X03nytjt72+z9frauzxFtpTXLevN558nbZm/cV6a52r5xVjz2fB97rKs+65C7/SXb6O5jZ+xvRx1j1n5/sWRaXb87grO/+1nz3c7c/nDFfWPpazzl2PGY7iLJcuXl5WjZsiXOnTvnUk8quRPuQ7IVjyHzuH/M4/4xj/vHctxXno2fL7kLHqskJx5/pMVjgcg6PGccg/vVPO4f87h/THPkvmElmxfy8/PDzJkz4efnJ3cobov7kGzFY8g87h/zuH/M4/6xHPeVZ+PnS+6CxyrJiccfafFYILIOzxnH4H41j/vHPO4f0xy5b1jJRkRERERERERERERERGQlVrIRERERERERERERERERWYlJNiIiIiIiIiIiIiIiIiIrMclGREREREREREREREREZCUm2YiIiIiIiIiIiIiIiIisxCQbERERERERERERERERkZWYZPMis2bNgkKh0Pu5/vrr5Q7LpeXn52P06NFo3749FAoFVq9erTdfCIFZs2ahffv28Pf3h1KpxJ49e+QJltzKokWL0KVLFzRu3BhhYWHYtGmT3CG5BLZT+tgGmVfX/nn00UdrHU+33HKLPMG6qe+//x433XQTunfvjmXLlskdDtnR2LFjERAQgAcffFDuUIjqxLaI5MK2knSxLSKyHNtPx2FbZB6PPeOOHTsGpVKJkJAQ9OvXD1999ZXcIbmU8+fPY/Dgwejfvz/69u2LpUuXWvV6Jtm8TO/evXHy5EnpZ9euXXKH5NIuXLiA0NBQLFy40Oj8d955BwsWLMDChQtRWFiI66+/HnfddRfOnz/v5EjJnaxcuRJPP/00XnnlFezYsQO33XYbRo0ahaNHj8odmktgO/UftkHm1bV/AODuu+/WO57Wrl3rxAjdW1VVFaZPn46cnBxs374db7/9Nv7991+5wyI7mTZtGtLT0+UOg6hObItITmwrSYttEZF12H46BtuiuvHYM87X1xcpKSkoLS3Fxo0b8cwzz+DChQtyh+UymjRpgry8PBQXF+O3335DcnIyzpw5Y/HrmWTzMr6+vrj++uuln7Zt28odkksbNWoU5s6di6ioqFrzhBBISUnBK6+8gqioKPTp0wefffYZLl68iM8//1yGaMldLFiwAJMmTUJ8fDx69eqFlJQUBAcHY/HixXKH5hLYTv2HbZB55vaPlp+fn97x1Lp1aydG6N62bt2K3r17o0OHDmjevDnuuecerFu3Tu6wyE6GDx+O5s2byx0GUZ3YFpGc2FaSFtsiIuuw/XQMtkV147FnXLt27dC/f38AQGBgIFq3bs0ErY4GDRqgSZMmAIBLly6huroaQgiLX88km5c5cOAA2rdvjy5duuD//u//8Mcff8gdkts6fPgwTp06hREjRkjT/Pz8EBERgS1btsgYGbmyK1euoKioSO+4AYARI0bwuPn/2E5Zhm2QZdRqNQIDA9GjRw8kJCRAo9HIHZLT1NWdJmC+69oTJ06gQ4cO0u8dO3bE8ePHnRE61cHWz5bImdgWkVzYVpIutkVElmP76Thsi8zjsWeaPffNtm3bUFNTg+DgYAdH7Tz22D9nz55FaGgoOnbsiBdeeAFt2rSx+P2ZZPMiQ4YMQXp6OtatW4elS5fi1KlTGDp0qFWlj/SfU6dOAQCCgoL0pgcFBUnziAydPn0a1dXVPG5MYDtlObZBdRs1ahSysrKQk5OD+fPno7CwEJGRkbh8+bLcoTlFXd1p1tV1rbGnthQKhUNjJsvY+tkSORPbIpIL20rSxbaIyHJsPx2HbZF5PPZMs9e+OXPmDOLi4qBSqZwRttPYY/+0atUKJSUlOHz4MD7//HP8/ffflgcgyGtVVFSIoKAgMX/+fLlDcQsAxDfffCP9vnnzZgFAnDhxQm+5+Ph4MXLkSCdHR+7i+PHjAoDYsmWL3vS5c+eKm266SaaoXBfbqf+wDTLPcP8Yc+LECdGwYUOxatUq5wTlQoztn5tvvllMnjxZb1rPnj3FSy+9JIS4dow98MAD0rxp06aJrKwsh8dK1qnPZ6uVm5srxo0b5+gQiSRsi0gubCtJF9siIsux/XQctkXm8dgzrb775tKlS+K2224T6enpzghTNrYcO1qTJ08WX375pcXvyUo2L9a0aVP07dsXBw4ckDsUt3T99dcDQK2KEY1GU6uyhEirTZs2aNCgAY8bC7GdMo1tkPXatWuHzp0783iCZV3X3nzzzdi9ezeOHz+O8+fPY+3atRg5cqQc4ZIV2C0xuRO2RSQXtpWki20RkeXYfjoO2yLzeOyZZsm+EULg0UcfRWRkJGJjY+UIUzaW7J+///4b5eXlAIDy8nLk5+fjpptusvg9mGTzYpcvX8bevXvRrl07uUNxS126dMH111+PDRs2SNOuXLmCvLw8DB06VMbIyJU1atQIYWFhescNAGzYsIHHjRFsp0xjG2S9M2fO4NixYzyeYFnXtb6+vpg/fz6GDx+OAQMG4Pnnn8d1110nR7hkBUu7JR45ciQeeughrF27Fh07dkRhYaGzQyViW0SyYVtJutgWEVmO7afjsC0yj8eeaZbsm82bN2PlypVYvXo1+vfvj/79+2PXrl1yhOt0luyfv/76C7fffjtCQ0MxbNgwPPHEE+jXr5/F7+Fr14jJpT333HMYPXo0OnXqBI1Gg7lz56K8vBwTJ06UOzSXVVFRgYMHD0q/Hz58GMXFxWjdujU6deqEp59+Gm+++Sa6d++O7t27480330STJk0wYcIEGaMmVzd9+nTExsZi0KBBCA8Ph0qlwtGjRzF58mS5Q5Md2yl9bIPMM7d/WrdujVmzZmHcuHFo164djhw5gpdffhlt2rTB2LFjZYzatRj23y+E0Js2ZswYjBkzxtlhkR3U9dmuW7fO2SERmcS2iOTCtpJ0sS0ishzbT8dhW2Qejz3TzO2bYcOGoaamRo6wXIa5/RMWFobi4uJ6r5tJNi/y119/4ZFHHsHp06fRtm1b3HLLLfj111/RuXNnuUNzWdu2bcPw4cOl36dPnw4AmDhxIpYvX44XXngBlZWVmDp1KsrKyjBkyBCsX78ezZs3lytkcgPjx4/HmTNnMGfOHJw8eRJ9+vTB2rVreS6C7ZQhtkHmmds/ixcvxq5du5Ceno6zZ8+iXbt2GD58OFauXOk1+8ccdl3rufjZkjvh8Upy4bFHung8EFmO54vjcN+ax/1jGveNec7YP+wu0ousWLECJ06cwJUrV3D8+HGsWrUKISEhcofl0pRKJYQQtX6WL18O4FoGfNasWTh58iQuXbqEvLw89OnTR96gyS1MnToVR44cweXLl1FUVITbb79d7pBcAtspfWyDzDO3f/z9/bFu3TpoNBpcuXIFf/75J5YvX47g4GC5w3YJ7LrWc/GzJXfC45XkwmOPdPF4ILIczxfH4b41j/vHNO4b85yxf1jJRkREROSB6upulF3Xui9+tuROeLySXHjskS4eD0SW4/niONy35nH/mMZ9Y57s+0cQERERkcfJzc0VAGr9TJw4UVomNTVVdO7cWTRq1EgMHDhQ5OXlyRcwWYyfLbkTHq8kFx57pIvHA5HleL44Dvetedw/pnHfmCf3/lEIIYR90nVERERERERERERERERE3oFjshERERERERERERERERFZiUk2IiIiIiIiIiIiIiIiIisxyUZERERERERERERERERkJSbZiIiIiIiIiIiIiIiIiKzEJBs5lFKpxNNPPy13GERERERERERERERERHbFJBsREZEZzz77LEaPHi13GERERERERERERORimGQjt3b16lW5QyAiD1dcXIz+/fvLHQYRERERERERERG5GCbZyG4uXLiAuLg4NGvWDO3atcP8+fP15l+5cgUvvPACOnTogKZNm2LIkCFQq9V6yyxduhTBwcFo0qQJxo4diwULFqBVq1bS/FmzZqF///745JNP0LVrV/j5+UEIgXPnzuHxxx9HYGAgWrRogcjISJSUlOite82aNQgLC0Pjxo3RtWtXzJ49G1VVVY7aHUTkIUpKSjBgwAC5wyAiIiIiIiIiIiIXwyQb2c3zzz+P3NxcfPPNN1i/fj3UajWKioqk+Y899hg2b96MFStWYOfOnXjooYdw991348CBAwCAzZs3Y/LkyXjqqadQXFyMu+66C/Pmzav1PgcPHsSXX36JVatWobi4GABw77334tSpU1i7di2KioowcOBA3HHHHfj3338BAOvWrUNMTAymTZuG0tJSfPzxx1i+fLnR9RMRaR07dgxnzpyRKtnOnj2L0aNHY+jQoTh58qS8wREREREREREREZGsmGQju6ioqEBaWhree+893HXXXejbty8+++wzVFdXAwAOHTqEL774Al999RVuu+02dOvWDc899xyGDRuGTz/9FADw0UcfYdSoUXjuuefQo0cPTJ06FaNGjar1XleuXEFGRgYGDBiAfv36ITc3F7t27cJXX32FQYMGoXv37njvvffQqlUrfP311wCAefPm4aWXXsLEiRPRtWtX3HXXXXjjjTfw8ccfO28nEZHbKS4uRsuWLdGlSxfs2rULgwcPRrt27aBWq9GuXTu5wyMiB1MqlXj66ael32+44QakpKRY/Hq1Wg2FQoGzZ8/aPTZLWRvzkSNHoFAopAeZiMg1GLZHchNC4PHHH0fr1q3ZZhCRS3GF6y9Xa7OJbMVj2vlc4XvZo48+igceeEC293cnTLKRXRw6dAhXrlxBeHi4NK1169a46aabAADbt2+HEAI9evRAs2bNpJ+8vDwcOnQIALBv3z7cfPPNeus1/B0AOnfujLZt20q/FxUVoaKiAtddd53eug8fPiytu6ioCHPmzNGbn5CQgJMnT+LixYt23x9E5BmKi4sRGhqKL774Arfffjuee+45qFQqNGrUSO7QiEgGhYWFePzxx+UOwyqOiHn58uV63XkTkff56aefsHz5cnz//fc4efIk+vTpI0sc2uEE7I03E4ksZ+0DPZZwhZvLljCV0MvOzsYbb7whT1BEDmDtMe0u57AuR/3tVygUWL16td3Xa0+mPq8PPvgAy5cvlyUmd+MrdwDkGYQQZufX1NSgQYMGKCoqQoMGDfTmNWvWTFqHQqGoc71NmzattW5tZYkh7Q2gmpoazJ49G1FRUbWWady4sdnYich7FRcXY9euXXjiiSfwww8/YOjQoXKHREQy0n3Ix124Y8xE5BzV1dVQKBTw8bH+2dtDhw6hXbt2vDYiIo905coVmx6sbN26tR2jIZKfnMf01atX0bBhQ9ne353Zuu9atmxpx2g8GyvZyC5uvPFGNGzYEL/++qs0raysDPv37wcADBgwANXV1dBoNLjxxhv1fq6//noAQM+ePbF161a99W7btq3O9x44cCBOnToFX1/fWutu06aNtMy+fftqzb/xxhvr9aWSiLxDcXExxo0bh0uXLsna3QgRuQbDJ7UVCgWWLVuGsWPHokmTJujevTu+++47k6+vrKzEvffei1tuuUUaN1bXmjVr0KpVK9TU1AC41gYpFAo8//zz0jKJiYl45JFHpN+3bNmC22+/Hf7+/ggODsa0adNw4cIFkzH//vvvGDZsGBo3boyQkBBs3LjR6NOVf/zxB4YPH44mTZogNDQUBQUFAK49sf3YY4/h3LlzUCgUUCgUmDVrliW7j8jtKZVKTJs2DS+88AJat26N66+/Xu/4N/YU8NmzZ6FQKKQHArVVD+vWrcOAAQPg7++PyMhIaDQa/Pjjj+jVqxdatGiBRx55pFaPG1VVVXjiiSfQqlUrXHfddXj11Vf1Hkq8cuUKXnjhBXTo0AFNmzbFkCFD9B5E1Fahfv/99wgJCYGfnx/+/PNPo9ual5eHm2++GX5+fmjXrh1eeuklVFVVAbjWddCTTz6Jo0ePQqFQ4IYbbjC5zzZv3oyIiAg0adIEAQEBGDlyJMrKygAAly9fxrRp0xAYGIjGjRtj2LBhKCwslF6r3Vc///wzBg0ahCZNmmDo0KHYt2+ftD2zZ89GSUmJ1B5pn7ZesGAB+vbti6ZNmyI4OBhTp05FRUWFRbE9+uijyMvLwwcffCCt98iRIygrK0N0dDTatm0Lf39/dO/eXRr6gMhV1dTU4O2338aNN94IPz8/dOrUSW9s+l27diEyMhL+/v647rrr8Pjjj+udK9quwt577z20a9cO1113HZKSknD16lUA19rFP//8E88884x0vgDAmTNn8Mgjj6Bjx45o0qQJ+vbtiy+++MLi2Lp06QLg2r0khUIBpVJpchvXrl2LHj16wN/fH8OHD8eRI0f05hureE1JSdFru7TbmZycjPbt26NHjx4AgMzMTAwaNAjNmzfH9ddfjwkTJkCj0QC41uYPHz4cABAQEACFQoFHH31U2i+6FTFlZWWIi4tDQEAAmjRpglGjRuHAgQPSfG37vG7dOvTq1QvNmjXD3XffzXHAyWUY60b/zTffxP/+9z80b94cnTp1gkqlkuabO4c//fRT9OrVC40bN0bPnj2xaNEiaZ72WurLL7+EUqlE48aNkZmZCQD45JNP0Lt3b+na5IknnpBed/ToUdx///1o1qwZWrRogYcffhh///23NF/bDmRkZOCGG25Ay5Yt8X//9384f/48AJj8219dXY1JkyahS5cu8Pf3x0033YQPPvig1v4xFZu2nRk7dmyd10xbt27FgAED0LhxYwwaNAg7duzQm2+sN5HVq1frFaxot/OTTz5B165d4efnByEEfvrpJwwbNky6hrzvvvuk3t/MfV6G3UXaeu3m0QSRnUyePFl06tRJbNy4UezatUuMGTNGNGvWTDz11FNCCCGio6PFDTfcIFatWiX++OMPsXXrVvHWW2+JH374QQghxC+//CJ8fHzE/Pnzxf79+8WSJUvEddddJ1q1aiW9x8yZM0VoaKje+9bU1Ihhw4aJ0NBQ8dNPP4nDhw+LzZs3i1deeUUUFhYKIYT46aefhK+vr5g5c6bYvXu3KC0tFStWrBCvvPKKU/YNEbmf8vJyoVAoxPbt28Wnn34qWrRoIXbv3i13WETkRBEREdJ1jBBCdO7cWbz//vvS7wBEx44dxeeffy4OHDggpk2bJpo1aybOnDkjhBAiNzdXABBlZWXi7NmzYtiwYeLOO+8UFRUVRt/v7NmzwsfHR2zbtk0IIURKSopo06aNGDx4sLRMjx49xOLFi4UQQuzcuVM0a9ZMvP/++2L//v1i8+bNYsCAAeLRRx81GnN1dbW46aabxF133SWKi4vFpk2bxM033ywAiG+++UYIIcThw4cFANGzZ0/x/fffi3379okHH3xQdO7cWVy9elVcvnxZpKSkiBYtWoiTJ0+KkydPivPnz9u6q4ncQkREhGjRooWYNWuW2L9/v/jss8+EQqEQ69evF0L8d/7s2LFDek1ZWZkAIHJzc4UQ/7ULt9xyi/jll1/E9u3bxY033igiIiLEiBEjxPbt20V+fr647rrrxFtvvaX33trvVr///rvIzMwUTZo0ESqVSlpmwoQJYujQoSI/P18cPHhQvPvuu8LPz0/s379fCCHEp59+Kho2bCiGDh0qNm/eLH7//Xej7dFff/0lmjRpIqZOnSr27t0rvvnmG9GmTRsxc+ZMIcS1tmrOnDmiY8eO4uTJk0Kj0RjdXzt27BB+fn5iypQpori4WOzevVt89NFH4p9//hFCCDFt2jTRvn17sXbtWrFnzx4xceJEERAQUKsNHTJkiFCr1WLPnj3itttuE0OHDhVCCHHx4kXx7LPPit69e0vt0cWLF4UQQrz//vsiJydH/PHHH+Lnn38WN910k5gyZYpFsZ09e1aEh4eLhIQEab1VVVUiKSlJ9O/fXxQWForDhw+LDRs2iO+++87i44dIDi+88IIICAgQy5cvFwcPHhSbNm0SS5cuFUIIceHCBdG+fXsRFRUldu3aJX7++WfRpUsXMXHiROn1EydOFC1atBCTJ08We/fuFWvWrNFre86cOSM6duwo5syZI50vQlxrR959912xY8cOcejQIfHhhx+KBg0aiF9//dWi2LZu3SoAiI0bN4qTJ09K7YKho0ePCj8/P722MSgoSLr+EsL4faT3339fdO7cWW87mzVrJmJjY8Xu3bvFrl27hBBCpKWlibVr14pDhw6JgoICccstt4hRo0YJIYSoqqoSq1atEgDEvn37xMmTJ8XZs2eFELWvIceMGSN69eol8vPzRXFxsRg5cqS48cYbxZUrV4QQ/7XPd955pygsLBRFRUWiV69eYsKECZZ+1EQOZex7UevWrUVqaqo4cOCASE5OFj4+PmLv3r1CCNPnsEqlEu3atZPuDa9atUq0bt1aLF++XAjx37WU7v3j48ePi0WLFonGjRuLlJQUsW/fPrF161bpO05NTY0YMGCAGDZsmNi2bZv49ddfxcCBA0VERIQU78yZM0WzZs2k9i4/P19cf/314uWXXxZCCJN/+69cuSJef/11sXXrVvHHH39I118rV66U1m0uNo1GIwCITz/91Ow1U0VFhWjbtq0YP3682L17t1izZo3o2rWr3nXlp59+Klq2bKn3um+++UbopndmzpwpmjZtKkaOHCm2b98uSkpKRE1Njfj666/FqlWrxP79+8WOHTvE6NGjRd++fUV1dbXZz2vixIni/vvvl9Zv67WbJ2OSjezm/PnzIiYmRjRp0kQEBQWJd955R68R1jZMN9xwg2jYsKG4/vrrxdixY8XOnTuldahUKtGhQwfh7+8vHnjgATF37lxx/fXXS/ONXRwJce1m+JNPPinat28vGjZsKIKDg0V0dLQ4evSotMxPP/0khg4dKvz9/UWLFi3EzTffrPellIhIV35+vvD19RWXLl0SQgjx3HPPiS5dukg3hojI81mSZHv11Vel3ysqKoRCoRA//vijEOK/Lxm///67CA0NFVFRUeLy5ctm33PgwIHivffeE0II8cADD4h58+aJRo0aifLycnHy5EkBQPryGhsbKx5//HG912/atEn4+PiIysrKWjH/+OOPwtfXV7oBJoQQGzZsMJpkW7ZsmbTMnj179N7X2Bc8Im8QEREhhg0bpjdt8ODB4sUXXxRCWJdk27hxo7RMcnKyACAOHTokTUtMTBQjR47Ue+9evXqJmpoaadqLL74oevXqJYQQ4uDBg0KhUIjjx4/rxXfHHXeIGTNmCCGunbsARHFxsdntfPnll8VNN92k916pqamiWbNm0s0YwxvUxjzyyCPi1ltvNTqvoqJCNGzYUGRlZUnTrly5Itq3by/eeecdIYTxffXDDz8IAFIbZ+r7oaEvv/xSXHfddRbFJkTt9l8IIUaPHi0ee+yxOt+LyFWUl5cLPz8/KXFlSKVSiYCAAL1k+w8//CB8fHzEqVOnhBDXbrB27txZVFVVScs89NBDYvz48dLvhtdHptxzzz3i2WeftSg2Y+2pMTNmzDDaNtYnyRYUFFTndZr2RrT2ASPdB6p06bYh+/fvFwDE5s2bpfmnT58W/v7+4ssvvxRC/Nc+Hzx4UFomNTVVBAUFmY2HyFmMfS+KiYmRfq+pqRGBgYHSw4CmzuHg4GDx+eef60174403RHh4uN7rUlJS9JZp3769yUKJ9evXiwYNGujdA9Z+f9m6dasQ4lo70KRJE1FeXi4t8/zzz4shQ4aY3EZTpk6dKsaNG2dRbEIIve9apnz88ceidevW4sKFC9K0xYsX1yvJ1rBhQ5PJPC1t8k/7QIGpz0s3yWavazdPxX7yyG6aNWuGjIwMXLhwAadOncLzzz8PtVotdVHUsGFDzJ49G4cPH8aVK1dw8uRJZGdno2/fvtI6EhIS8Ndff+HixYv45ptvcOTIEdx4443S/FmzZhkdNLN58+b48MMPcfz4cVy5cgVHjx5FZmYmgoODpWVGjhyJzZs34+LFizh37hx+++03JCQkOGx/EJF7KykpQc+ePeHn5wcAePvttxESEoKoqChcuXJF5uiIyFX069dP+n/Tpk3RvHlzqRshrTvvvBNdu3bFl19+Wef4HkqlEmq1GkIIbNq0Cffffz/69OmDX375Bbm5uQgKCkLPnj0BAEVFRVi+fDmaNWsm/YwcORI1NTU4fPhwrXXv27cPwcHBUlfdAHDzzTfXuV3t2rUDgFrbReSNdM8N4Nr5UZ9zQ3c9QUFBaNKkCbp27ao3zXC9t9xyi16XQOHh4Thw4ACqq6uxfft2CCHQo0cPvTYhLy9PrzugRo0a1doGQ3v37kV4eLjee916662oqKjAX3/9ZfE2FhcX44477jA679ChQ7h69SpuvfVWaVrDhg1x8803Y+/evXrL1qc9ys3NxV133YUOHTqgefPmiIuLw5kzZ6TudM3FZsqUKVOwYsUK9O/fHy+88AK2bNli1euJnG3v3r24fPmyyWN97969CA0N1Rv3/tZbb0VNTY1e1169e/dGgwYNpN8tafeqq6sxb9489OvXD9dddx2aNWuG9evX4+jRoxbFZqm9e/cabRvro2/fvrWu03bs2IH7778fnTt3RvPmzaUu1LTbYWmMvr6+GDJkiDTtuuuuw0033aTX3jVp0gTdunWTfq/v3xciZ9H9+6xQKHD99debPWb/+ecfHDt2DJMmTdK7Vpk7d67etQoADBo0SPq/RqPBiRMnzLZlwcHBeveAQ0JC0KpVK71z7IYbbkDz5s2l3y09x5YsWYJBgwahbdu2aNasGZYuXSq1AXXFZilte9ykSRNpWn3bss6dO9cal/vQoUOYMGECunbtihYtWkjdQ1rTljn62s3d+codAJGu9957D3fddReaNm2KH3/8EZ999ple37xERM7yxBNP6PXx7ePjg++//17GiIjIFRkOJK1QKKQx1bTuvfderFq1CqWlpXoPFxmjVCqRlpaGkpIS+Pj4ICQkBBEREcjLy0NZWRkiIiKkZWtqapCYmIhp06bVWk+nTp1qTRNC6N2EsnS7tK8x3C4ib2TunNeO9Sx0xknTjltkbj0KhcKitsScmpoaNGjQAEVFRXo3w4FrD0Nq+fv719kOGGsrtNtkaRuifS9z72Fsfcbe29r26M8//8Q999yDyZMn44033kDr1q3xyy+/YNKkSdLnYS42U0aNGoU///wTP/zwAzZu3Ig77rgDSUlJeO+996xeF5Ez1HWcm7su0J1en/Zp/vz5eP/995GSkiKNj/j0009LDyvW5xw0Rre9NcXHx6fWcsbaZt1kIwBcuHABI0aMwIgRI5CZmYm2bdvi6NGjGDlypFUPXZqK0XD/G9vPlmwfkVysbRu085YuXaqXdAZQ69pF93ysb1tmyTlWV1v25Zdf4plnnsH8+fMRHh6O5s2b491338Vvv/1mUWyWcmRbBgCjR49GcHAwli5divbt26OmpgZ9+vSpV1vmiGs3T8BKNnIpW7duxV133YW+fftiyZIl+PDDDxEfHy93WERERET19tZbb2HixIm44447UFpaanbZ22+/HefPn0dKSgoiIiKgUCgQEREBtVoNtVqtl2QbOHAg9uzZgxtvvLHWj7GKuZ49e+Lo0aN6g4DrDlRtqUaNGqG6utrq1xF5Ou1TwydPnpSmGeuFo75+/fXXWr93794dDRo0wIABA1BdXQ2NRlOrPdCtXrVESEgItmzZoncjZ8uWLWjevDk6dOhg8Xr69euHn3/+2eg8bTv1yy+/SNOuXr2Kbdu2oVevXha/h7H2aNu2baiqqsL8+fNxyy23oEePHjhx4oTFsZlaL3DtM3700UeRmZmJlJQUqFQqi2Mlcrbu3bvD39/f5LEeEhKC4uJiqcITADZv3gwfHx/06NHD4vcxdr5oq/FjYmIQGhqKrl274sCBAxbHpr2Oqet6IyQkxGjbqKtt27Y4deqUXptmSdv8+++/4/Tp03jrrbdw2223oWfPnrUqMSyJMyQkBFVVVdJNeQA4c+YM9u/fb1V7R+ROjJ0bQUFB6NChA/74449a1yrayipjmjdvjhtuuMFsW3b06FEcO3ZMmlZaWopz587ZfE2xadMmDB06FFOnTsWAAQNw44036lXd1RUbcC3hZElbVlJSgsrKSmmasbbs/Pnzem22JW3ZmTNnsHfvXrz66qu444470KtXL5SVlektY0lbZq9rN0/FJBu5lC+//BIajQaVlZXYs2cPJk+eLHdIRERERDZ77733EB0djcjISPz+++8ml2vZsiX69++PzMxMqUui22+/Hdu3b8f+/fulaQDw4osvoqCgAElJSSguLsaBAwfw3Xff4cknnzS67rvuugvdunXDxIkTsXPnTmzevBmvvPIKAOuqU2644QZUVFTg559/xunTp3Hx4kWLX0vkyfz9/XHLLbfgrbfeQmlpKfLz8/Hqq6/abf3Hjh3D9OnTsW/fPnzxxRf46KOP8NRTTwEAevTogejoaMTFxSE7OxuHDx9GYWEh3n77baxdu9aq95k6dSqOHTuGJ598Er///ju+/fZbzJw5E9OnT5eq9SwxY8YMFBYWYurUqdi5cyd+//13LF68GKdPn0bTpk0xZcoUPP/88/jpp59QWlqKhIQEXLx4EZMmTbL4PW644QYcPnwYxcXFOH36NC5fvoxu3bqhqqoKH330Ef744w9kZGRgyZIlFsemXe9vv/2GI0eO4PTp06ipqcHrr7+Ob7/9FgcPHsSePXvw/fff86YSubTGjRvjxRdfxAsvvID09HQcOnQIv/76K9LS0gAA0dHRaNy4MSZOnIjdu3cjNzcXTz75JGJjYxEUFGTx+9xwww3Iz8/H8ePHpXPoxhtvxIYNG7Blyxbs3bsXiYmJOHXqlMWxBQYGwt/fHz/99BP+/vtvnDt3zuh7T548GYcOHZLaxs8//xzLly/XW0apVOKff/7BO++8g0OHDiE1NRU//vhjndvVqVMnNGrUSGpLvvvuO7zxxht6y3Tu3BkKhQLff/89/vnnH1RUVNRaT/fu3XH//fcjISEBv/zyC0pKShATE4MOHTrg/vvvrzMOIndk6hyeNWsWkpOT8cEHH2D//v3YtWsXPv30UyxYsMDs+mbNmoX58+fjww8/xIEDB7B9+3Z89NFHAK51zd+vXz9ER0dj+/bt2Lp1K+Li4hAREaHX7WRdjP3tv/HGG7Ft2zasW7cO+/fvx2uvvVbrIUVzsWnX+/PPP+PUqVO1kltaEyZMgI+PDyZNmoTS0lKsXbu2VqX8kCFD0KRJE7z88ss4ePCg0fbOmICAAFx33XVQqVQ4ePAgcnJyMH36dL1lLGlz7XXt5qmYZCMiIiIicoL3338fDz/8MCIjI7F//36Tyw0fPhzV1dVSQi0gIAAhISFo27at3g3dfv36IS8vDwcOHMBtt92GAQMG4LXXXpP6vTfUoEEDrF69GhUVFRg8eDDi4+OlBEDjxo0t3o6hQ4di8uTJGD9+PNq2bYt33nnH4tcSebpPPvkEV69exaBBg/DUU09h7ty5dlt3XFwcKisrcfPNNyMpKQlPPvkkHn/8cWn+p59+iri4ODz77LO46aabMGbMGPz22296Y5RYokOHDli7di22bt2K0NBQTJ48GZMmTbI6YdijRw+sX78eJSUluPnmmxEeHo5vv/0Wvr7XRq146623MG7cOMTGxmLgwIE4ePAg1q1bh4CAAIvfY9y4cbj77rsxfPhwtG3bFl988QX69++PBQsW4O2330afPn2QlZWF5ORkq2J77rnn0KBBA6ntPXr0KBo1aoQZM2agX79+uP3229GgQQOsWLHCqn1C5GyvvfYann32Wbz++uvo1asXxo8fL1VjNWnSBOvWrcO///6LwYMH48EHH8Qdd9yBhQsXWvUec+bMwZEjR9CtWzepove1117DwIEDMXLkSCiVSlx//fV44IEHLI7N19cXH374IT7++GO0b9/eZDKqU6dOWLVqFdasWYPQ0FAsWbIEb775pt4yvXr1wqJFi5CamorQ0FBs3boVzz33XJ3b1bZtWyxfvhxfffUVQkJC8NZbb9W66d2hQwfMnj0bL730EoKCgvSGG9D16aefIiwsDPfddx/Cw8MhhMDatWtrdV9H5ClMncPx8fFYtmwZli9fjr59+yIiIgLLly83W8kGABMnTkRKSgoWLVqE3r1747777pOqYxUKBVavXo2AgADcfvvt0njYK1eutCpmY3/7J0+ejKioKIwfPx5DhgzBmTNnMHXqVItjA651n7thwwYEBwdjwIABRt+7WbNmWLNmDUpLSzFgwAC88sorePvtt/WWad26NTIzM7F27Vr07dsXX3zxBWbNmlXndvn4+GDFihUoKipCnz598Mwzz+Ddd9/VW8bSNtce126eSiHYwS8RERERkVfavHkzhg0bhoMHD6Jbt25yh0NERERERETkVphkIyIiIiLyEt988w2aNWuG7t274+DBg3jqqacQEBCg17c+EREREREREVnGV+4AiIiIiIjIOc6fP48XXngBx44dQ5s2bXDnnXdi/vz5codFRERERERE5JZYyUZERERERERERERERERkJR+5AyAiIiIiIiIiIiIiIiJyN0yyEREREREREREREREREVmJSTYiIiIiIiIiIiIiIiIiK/nKHYC91NTU4MSJE2jevDkUCoXc4RAREREREVlECIHz58+jffv28PHxnOcg+R2NyL2wLSIiV8C2iIhcgTVtkcck2U6cOIHg4GC5wyAiIiIiIqqXY8eOoWPHjnKHYTf8jkbkntgWEZErYFtERK7AkrbIY5JszZs3B3Bto1u0aCFzNERERERERJYpLy9HcHCw9J3GU/A7GpF7YVtERK6AbRERuQJr2iKPSbJpy2xbtGjBhoqIiIiIiNyOp3UdxO9oRO6JbRERuQK2RUTkCixpizynY1siIiIiIiIiIiIiIiIiJ2GSjYiIiIiIiIiIiIiIiMhKTLIREREREREREREREZkxduxYBAQE4MEHH5Q7FCJyIR4zJhsRERERERG5DyEE1Go1srKyoNFoEBgYiOjoaCiVSo8bh4WIXBfbIiKy1LRp0/C///0Pn332mdyhyI5tJ9F/mGQjIiIiIiIipyorK0NUVBTUarXe9LS0NCiVSmRnZyMgIECe4IjIa7AtIiJrDB8+vFZ74Y3YdhLpY3eRRERERERE5DRCCOnGjL+/PxITE6FSqZCYmAh/f3+o1WpERUVBCCF3qETkwdgWEXmW/Px8jB49Gu3bt4dCocDq1atrLbNo0SJ06dIFjRs3RlhYGDZt2uT8QN0c206i2ljJRkREdldeXo4WLVrIHQYRERG5ILVaLd2YKSgoQGhoKAAgISEBU6ZMQXh4ONRqNfLy8qBUKuUNlog8FtsiIs9y4cIFhIaG4rHHHsO4ceNqzV+5ciWefvppLFq0CLfeeis+/vhjjBo1CqWlpejUqRMAICwsDJcvX6712vXr16N9+/ZWxXP58mW9dZWXl1u5Ra6JbSdRbaxkIyIiu3r55ZfRsmVLfPvtt3KHQkRERC4oKysLABAXFyfdmNEKDQ1FbGwsACAzM9PpsRGR92BbRORZRo0ahblz5yIqKsro/AULFmDSpEmIj49Hr169kJKSguDgYCxevFhapqioCLt37671Y22CDQCSk5PRsmVL6Sc4OLje2+ZK2HYS1cYkGxER2VVycjKAawMCExERERnSaDQArj0tbox2unY5IiJHYFtE5D2uXLmCoqIijBgxQm/6iBEjsGXLFoe854wZM3Du3Dnp59ixYw55n7oIIZCbm4v4+HiMGTMG8fHxyM3NrXd3jmw7iWpjko2IiBxCoVDIHQIRERG5oMDAQADXnhY3RjtduxwRkSOwLSLyHqdPn0Z1dTWCgoL0pgcFBeHUqVMWr2fkyJF46KGHsHbtWnTs2BGFhYUml/Xz80OLFi30fpytrKwMkZGRiIyMRFpaGtasWYO0tDRpWllZmd7yliTk2HYS1cYkGxERERERETlNdHQ0ACA9PR0lJSV680pKSpCRkQEAiImJcXpsROQ92BYReR/Dh4GFEFY9ILxu3Tr8888/uHjxIv766y8MHjy4ztekpqYiJCTEomXtSQiBqKgoafy0xMREqFQqJCYmwt/fH2q1GlFRUVICzdKEHNtOotqYZCMiIodgJRsREZF3qutmklKphFKpRGVlJcLDw/Vu+oSHh6OyshJKpRIRERFOjpyIvAnbIiLv0aZNGzRo0KBW1ZpGo6lV3WZvSUlJKC0tNVv15ghqtVpKsBUUFGDJkiVISEjAkiVLUFBQICXa8vLyrErIse0kqs1X7gCIiIiIiIjIcyQlJSEpKQnl5eVo2bJlrfkKhQLZ2dnSzRyVSqU3X6lUIjs7mw/sEJHk+++/x7PPPouamhq8+OKLiI+Pt3mdbIuIvEejRo0QFhaGDRs2YOzYsdL0DRs24P7773foe6empiI1NRXV1dUOfR9DWVlZAIC4uDiEhobqzQsNDUVsbCxUKhUyMzMhhNBLyGmXT0hIwJQpUxAeHi4l5LRtI9tOov8wyUZERA7BCyoiIiIyJSAgADk5OcjLy0NmZiY0Gg0CAwMRExODiIgIXkcQkaSqqgrTp09Hbm4uWrRogYEDByIqKgqtW7e2ed1si4g8R0VFBQ4ePCj9fvjwYRQXF6N169bo1KkTpk+fjtjYWAwaNAjh4eFQqVQ4evQoJk+e7NC46nr4yFE0Gg0AICwszOh87XSNRmNVQk6pVLLtJDLAJBsRETkEL6qIiIjIHIVCIXU5RERkytatW9G7d2906NABAHDPPfdg3bp1eOSRR+yyfrZFRJ5h27ZtGD58uPT79OnTAQATJ07E8uXLMX78eJw5cwZz5szByZMn0adPH6xduxadO3eWK2SHCgwMBAAUFRUhISGh1vyioiJpOWsSclpsO4n+wzHZiIiIiIiIiIjIIfLz8zF69Gi0b98eCoUCq1evrrXMokWL0KVLFzRu3BhhYWHYtGmTNO/EiRNSgg0AOnbsiOPHjzsjdCJyI0qlEkKIWj/Lly+Xlpk6dSqOHDmCy5cvo6ioCLfffrvD46prrFpHiY6OBgCkp6ejpKREb15JSQkyMjIAADExMXoJOWN0E3JEVBuTbERE5BCsZCMiIiIiogsXLiA0NBQLFy40On/lypV4+umn8corr2DHjh247bbbMGrUKBw9ehQAIISo9Rpz3zUuX76M8vJyvR8iIrkkJSWhtLQUhYWFTn1fbZVZZWUlwsPDkZiYCJVKhcTERISHh6OyshJKpRIRERFWJeSIqDZ2F0lERA7BJBsREREREY0aNQqjRo0yOX/BggWYNGkS4uPjAQApKSlYt24dFi9ejOTkZHTo0EGvcu2vv/7CkCFDTK4vOTkZs2fPtt8GEBG5IYVCgezsbERFRUGtVkOlUunNVyqVyM7O1uv2Ua1WIzw8HLGxsQgLC0NRUREyMjL0EnJEVBuTbERERERERERE5HRXrlxBUVERXnrpJb3pI0aMwJYtWwAAN998M3bv3o3jx4+jRYsWWLt2LV5//XWT65wxY4Y0FhMAlJeXIzg42DEbQETkwgICApCTk4O8vDxkZmZCo9EgMDAQMTExiIiIkB6OtiYhR0S1MclGREQOwYsvIiIiIiIy5/Tp06iurkZQUJDe9KCgIJw6dQoA4Ovri/nz52P48OGoqanBCy+8gOuuu87kOv38/ODn5+fQuImILJWamorU1FRUV1fL8v66lWrmWJqQI6LamGQjIiIiIiIiIiLZGN68FULoTRszZgzGjBlj1TrlvrFNRARcG5MtKSkJ5eXlaNmypdzhmGVpQo6I9PnIHQAREXkmPuVERERERETmtGnTBg0aNJCq1rQ0Gk2t6jZrJSUlobS0FIWFhTath4iIiMgcJtmIiMghmGQjIiIiIiJzGjVqhLCwMGzYsEFv+oYNGzB06FCZoiIiIiKyHLuLJCIiIiIiIiIih6ioqMDBgwel3w8fPozi4mK0bt0anTp1wvTp0xEbG4tBgwYhPDwcKpUKR48exeTJk2WMmojIPry961ohBNRqNbKysqRx3qKjo6FUKvlwNnkMJtmIiMgheLFERERERETbtm3D8OHDpd+nT58OAJg4cSKWL1+O8ePH48yZM5gzZw5OnjyJPn36YO3atejcubNN7+vtN7aJyDW405hs9lZWVoaoqCio1Wq96WlpaVAqlcjOzkZAQIA8wRHZkUIIIeQOwh60DdW5c+fQokULucMhIvJa2uRaz549sXfvXpmjISIicn2e+l3GU7eLyFN56jnrqdtF5Kk89Zz11O0yRQiByMhIqNVq+Pv7Iy4uDmFhYSgqKkJ6ejoqKyuhVCqRk5PDh7TJJVlzzrKSjYiIHIIXSURERERERERE3ketVksJtoKCAoSGhgIAEhISMGXKFISHh0OtViMvLw9KpVLeYIls5CN3AERE5JmYZCMiIiIiIiIib5aamoqQkBAMHjxY7lCcKisrCwAQFxcnJdi0QkNDERsbCwDIzMyUpgshkJubi/j4eIwZMwbx8fHIzc2Fh3TERx7MJZJsVVVVePXVV9GlSxf4+/uja9eumDNnDmpqauQOjYiIiIiIiIiI3Iy33tgmIteSlJSE0tJSFBYWyh2KU2k0GgBAWFiY0fna6drlysrKEBkZicjISKSlpWHNmjVIS0uTppWVlTkncKJ6cIkk29tvv40lS5Zg4cKF2Lt3L9555x28++67+Oijj+QOjYiI6omVbEREREREJBdvvbFNROQKAgMDAQBFRUVG52unBwYGQgiBqKgoqXvJxMREqFQqJCYmwt/fH2q1GlFRUaxoI5flEkm2goIC3H///bj33ntxww034MEHH8SIESOwbds2uUMjIiIiIiIiIiIiIiILRUdHAwDS09NRUlKiN6+kpAQZGRkAgJiYmFrjty1ZsgQJCQlYsmQJCgoKpERbXl6e07eDyBIukWQbNmwYfv75Z+zfvx/AtRPtl19+wT333GPyNZcvX0Z5ebneDxERuQ5WshEREREREREReR+lUgmlUonKykqEh4frVaeFh4ejsrISSqUSERER9Rq/jciV+ModAAC8+OKLOHfuHHr27IkGDRqguroa8+bNwyOPPGLyNcnJyZg9e7YToyQiImswyUZERERERERE5H0UCgWys7OlbiBVKpXefKVSiezsbCgUCqvHbyNyNS5RybZy5UpkZmbi888/x/bt2/HZZ5/hvffew2effWbyNTNmzMC5c+ekn2PHjjkxYiIiIiIiIiIiclWpqakICQnB4MGD5Q6FiMgrBQQEICcnB7m5uZg0aRJGjx6NSZMmITc3Fzk5OQgICABg3fhtRK5IIVxgxMDg4GC89NJLSEpKkqbNnTsXmZmZ+P333y1aR3l5OVq2bIlz586hRYsWjgqViIjqoK1g69evX61+t4mIiKg2T/0u46nbReSpPPWc9dTtIvJUnnbOpqamIjU1FdXV1di/f7/HbJc95ebmIjIyUhqTTbfLyJKSEql7ydzcXCiVSvkCJa9iTVvkEpVsFy9ehI+PfigNGjRATU2NTBEREZGt2F0kEREREREREXmzpKQklJaWorCwUO5QXJY147cRuSKXGJNt9OjRmDdvHjp16oTevXtjx44dWLBgAf73v//JHRoREdUTk2xERERERERERGSONeO3Ebkil0iyffTRR3jttdcwdepUaDQatG/fHomJiXj99dflDo2IiIiIiIiIiIiIiBxEO35bXl4eMjMzodFoEBgYiJiYGERERDDBRi7NJZJszZs3R0pKClJSUuQOhYiIiIiIiIiIiIiInEihUEhdRxK5E5cYk42IiDwPnzIiIiIiIiK5pKamIiQkBIMHD5Y7FCIiIvJgTLIREZFDMMlGRERERERySUpKQmlpKQoLC+UOhYiIiDwYk2xEROQQTLIRERERERERERGRJ2OSjYiIiIiIiIiIiIiIiMhKTLIREREREREREREREdkZx4ck8nxMshERkUOwu0giIiIiIiIi8mYcH5LI8/nKHQAREXkmJtmIiIiIiIiIiMjehBBQq9XIysqCRqNBYGAgoqOjoVQqeT+KnI5JNiIicghe1BARERERkVxSU1ORmpqK6upquUMhIiI7KisrQ1RUFNRqtd70tLQ0KJVKZGdnIyAgQJ7gyCuxu0giIiIiIiIiIvIo7KKNiMjzCCGkBJu/vz8SExOhUqmQmJgIf39/qNVqREVFQQghd6jkRVjJRkRERERERERERERELk2tVksJtoKCAoSGhgIAEhISMGXKFISHh0OtViMvLw9KpVLeYMlrsJKNiIgcgt1FEhERERERERGRvWRlZQEA4uLipASbVmhoKGJjYwEAmZmZTo+NvBeTbERE5BBMshERERERERERkb1oNBoAQFhYmNH52una5YicgUk2IiJyCCbZiIiI3N/YsWMREBCABx98UO5QiIiIiMjLBQYGAgCKioqMztdO1y5H5AxMshEREREREZFR06ZNQ3p6utxhEBEREREhOjoaAJCeno6SkhK9eSUlJcjIyAAAxMTESNOFEMjNzUV8fDzGjBmD+Ph45ObmQgjhvMDJo/nKHQARERERERG5puHDh0OtVssdBhEREZGsjh07htjYWGg0Gvj6+uK1117DQw89JHdYXkepVEKpVEKtViM8PByxsbEICwtDUVERMjIyUFlZCaVSiYiICABAWVkZoqKial3PpqWlQalUIjs7GwEBATJsCXkSVrI5yKVLl5Cfn4/Kykq5QyEicgohhF65PruL/E9NTQ327NnDp6SIiMiu8vPzMXr0aLRv3x4KhQKrV6+utcyiRYvQpUsXNG7cGGFhYdi0aZPzAyUiIiJyc76+vkhJSUFpaSk2btyIZ555BhcuXJA7LK+jUCiQnZ0NpVKJyspKqFQqJCYmQqVSSQm27OxsKBQKCCGkBJu/v7+0XGJiIvz9/aFWqxEVFcV7NWQzJtkc5LHHHkNERAQeeeQRuUMhInKKVatWYdCgQdLvTLL955lnnkGfPn0wc+ZMuUMhIiIPcuHCBYSGhmLhwoVG569cuRJPP/00XnnlFezYsQO33XYbRo0ahaNHj0rLhIWFoU+fPrV+Tpw4YXU8ly9fRnl5ud4PEZFcUlNTERISgsGDB8sdChF5gHbt2qF///4Aro331bp1a/z777/yBuWlAgICkJOTg9zcXEyaNAmjR4/GpEmTkJubi5ycHKkyTa1WSwm2goICLFmyBAkJCViyZAkKCgqkRFteXp7MW0Tuzq5JtvLycqxevRp79+6152rd0ooVKwAA3377rcyREBE5x8GDB/V+Z5LtPx9++CEA4I033pA5EiIi8iSjRo3C3LlzERUVZXT+ggULMGnSJMTHx6NXr15ISUlBcHAwFi9eLC1TVFSE3bt31/pp37691fEkJyejZcuW0k9wcHC9t42IyFZJSUkoLS1FYWGh3KEQkRM4s8J/27ZtqKmp4bWOjBQKBZRKJZYtW4bvvvsOy5Ytg1Kp1LsXlZWVBQCIi4tDaGio3utDQ0MRGxsLAMjMzHRe4OSRbEqyPfzww9JTk5WVlRg0aBAefvhh9OvXD6tWrbJLgERE5B6qqqrkDoGIiIj+vytXrqCoqAgjRozQmz5ixAhs2bLFIe85Y8YMnDt3Tvo5duyYQ96HiIjqJoRAbm4u4uPjMWbMGMTHxyM3N5fdopHHclaF/5kzZxAXFweVSmU2Hlb4y0+j0QC49rkao52uXY6ovnxteXF+fj5eeeUVAMA333wDIQTOnj2Lzz77DHPnzsW4cePsEiQREbm+q1evyh0CERER/X+nT59GdXU1goKC9KYHBQXh1KlTFq9n5MiR2L59Oy5cuICOHTvim2++Mdn1mp+fH/z8/GyKm4iIbFdWViaNQ6QrLS1NGq9I250akacYNWoURo0aZXK+boU/AKSkpGDdunVYvHgxkpOTAUBvnHljLl++jLFjx2LGjBkYOnSo2WWTk5Mxe/ZsK7eC7CkwMBDAtc81ISGh1nzt561djqi+bKpkO3fuHFq3bg0A+OmnnzBu3Dg0adIE9957Lw4cOGCXAImIyD0YJtnYXSQREZH8DP8eCyGs+hu9bt06/PPPP7h48SL++usvjm1EROTihBBSgs3f3x+JiYlQqVRITEyUxh+KiopiRRt5FXtU+Ash8OijjyIyMlLqZtAcVvjLLzo6GgCQnp6OkpISvXklJSXIyMgAAMTExDg9NvIsNlWyBQcHo6CgAK1bt8ZPP/0kjUNWVlaGxo0b2yVAIiJyD0yyERERuY42bdqgQYMGtarWNBpNreo2sowQAmq1GllZWdBoNAgMDER0dHSt8T+IiOSkVqulBFtBQYE0DlFCQgKmTJmC8PBwqNVq5OXlQalUyhsskZPYo8J/8+bNWLlyJfr16yeN95aRkYG+ffsaXV5b4Z+amorU1FRUV1fbtA1kPaVSCaVSCbVajfDwcMTGxiIsLAxFRUXIyMhAZWUllEolIiIi5A6V3JxNSbann34a0dHRaNasGTp37iz9cc7PzzfZwBARkWdiko2IiMh1NGrUCGFhYdiwYQPGjh0rTd+wYQPuv/9+GSNzT+x6jYjcRVZWFgAgLi5OSrBphYaGIjY2FiqVCpmZmUyykdexpcJ/2LBhqKmpsfo9k5KSkJSUhPLycrRs2dLq11P9KRQKZGdnS9dwhuPoaa/heP+KbGVTkm3q1KkYMmQIjh49irvuugs+Ptd6n+zatSvmzZtnlwCJiMg9cEw2IiIi56qoqMDBgwel3w8fPozi4mK0bt0anTp1wvTp0xEbG4tBgwYhPDwcKpUKR48exeTJk2WM2v0Ydr0WFxcnPQWdnp4udb2Wk5PDmzREJDuNRgMACAsLMzpfO127HJE3YIW/9woICEBOTg7y8vKQmZkp9UYQExODiIgIXruRXdiUZJszZw6ee+65Wn+4IyMj8e6779Y5ACQREXmOqqoquUMgIiLyKtu2bcPw4cOl36dPnw4AmDhxIpYvX47x48fjzJkzmDNnDk6ePIk+ffpg7dq16Ny5s0Pj8rRukdj1GhG5k8DAQABAUVEREhISas0vKirSW47IG8hZ4e9p10XuSKFQSF1HEjmCjy0vnj17NioqKmpNv3jxImbPnm3LqomIyM2wu0giIiLnUiqVEELU+lm+fLm0zNSpU3HkyBFcvnwZRUVFuP322x0eV1JSEkpLS1FYWOjw93IGS7peA4DMzEynx0ZEZCg6OhoAkJ6ejpKSEr15JSUlyMjIAADExMQ4PTYiR6qoqEBxcTGKi4sB/Ffhf/ToUQDXHkZatmwZPvnkE+zduxfPPPOMUyr8Pe26iIhqs6mSzVS/tSUlJWjdurUtqyYiIjfDJBsRERF5Ina9RkTuRFutoVarER4ejtjYWKmL24yMDFRWVkKpVCIiIkLuUInsylUr/InI89UryRYQEACFQgGFQoEePXro3Uitrq5GRUUF+/knIvIyTLIRERGRJ2LXa0TkThQKBbKzs6WxJFUqld58pVKJ7Oxsfl8jj6Ot8Ddn6tSpmDp1qpMiuobdRRJ5vnol2VJSUiCEwP/+9z/Mnj0bLVu2lOY1atQIN9xwA8LDw+0WJBERuT7DJBsRERGRJ4iOjkZaWhrS09MxZcoUvS4j2fUaEbmigIAA5OTkIC8vD5mZmdBoNAgMDERMTAwiIiKYYCNyoqSkJCQlJaG8vFzvHjoReY56JdkmTpwIAOjSpQuGDh2Khg0b2jUoIiJyP6xkIyIiIk/ErteI3JO3V48oFAqp/SIioroJIaBWq5GVlSU9nBAdHQ2lUsl7XGSWTWOyRUREoKamBvv374dGo0FNTY3efGcMqk1ERK6BSTYiIiLyROx6jcg9sXqEiFyBtyf83UVZWZl0racrLS1NutYLCAiQJzhyeTYl2X799VdMmDABf/75Z60+bxUKBRsPIiIvUlVVJXcIRERERA7BrteIiIioPpjwd31CCCnB5u/vj7i4OKnXgvT0dKjVakRFRSEnJ4fXfGSUTUm2yZMnY9CgQfjhhx/Qrl07HmRERF6MlWxEREQEeO4T2+x6jYiIiMjzqNVqKcFWUFAgjb+bkJCAKVOmIDw8HGq1Gnl5ebwOJKN8bHnxgQMH8Oabb6JXr15o1aoVWrZsqfdDRETewzDJRkRERN4pKSkJpaWlKCwslDsUIiIiIiKzsrKyAABxcXFSgk0rNDQUsbGxAIDMzEynx0buwaYk25AhQ3Dw4EF7xUJERG6MlWxERERERERERP9JTU1FSEgIBg8eLHcoZIJGowEAhIWFGZ2vna5djsiQTd1FPvnkk3j22Wdx6tQp9O3bFw0bNtSb369fP5uCc2cKhaLWOHVERJ6MSTYiIiIiIiIiov9wTDbXFxgYCAAoKipCQkJCrflFRUV6yxEZsinJNm7cOADA//73P2maNrmkUCg8rg9+azDJRkTeht1FEhEREbkGIQTUajWysrKg0WgQGBiI6OhoKJVKPghFREREpCM6OhppaWlIT0/HlClT9LqMLCkpQUZGBgAgJiZGrhDJxdmUZDt8+LC94sDx48fx4osv4scff0RlZSV69OiBtLQ0k2WaRETkWqqqqvR+5w0cIiIiIucrKytDVFQU1Gq13vS0tDQolUpkZ2cjICBAnuCIiIiIXIxSqYRSqYRarUZ4eDhiY2MRFhaGoqIiZGRkoLKyEkqlEhEREXKHSi7KpiRb586d7RJEWVkZbr31VgwfPhw//vgjAgMDcejQIbRq1cou65cDby4TkbdhJRsRERGRvIQQUoLN398fcXFx0k2i9PR0qNVqREVFIScnh99ZiYiIiHDtPn52drZ0DaVSqfTmax9S4rUTmWJTkg0AMjIysGTJEhw+fBgFBQXo3LkzUlJS0KVLF9x///0WrePtt99GcHAwPv30U2naDTfcYGtostI96bTdZxIReaqysjL88ccfetPY7plWVVWFrVu3YtCgQWjUqJHc4RAREZGHUKvVUoKtoKBA6u4oISEBU6ZMQXh4ONRqNfLy8qBUKuUNloiIyAukpqYiNTXVq4dVcgcBAQHIyclBXl4eMjMzpe62Y2JiEBERwXtcZJaPLS9evHgxpk+fjnvuuQdnz56VGotWrVohJSXF4vV89913GDRoEB566CEEBgZiwIABWLp0qdnXXL58GeXl5Xo/rsQwyUZE5Mm6detWaxovQEybMWMGbr31Vr0xTYmIiIhslZWVBQCIi4vTG08EAEJDQxEbGwsAyMzMdHpsRERE3igpKQmlpaUoLCyUOxSqg0KhgFKpxLJly/Ddd99h2bJlJsezFUIgNzcX8fHxGDNmDOLj45Gbm8s8gJeyKcn20UcfYenSpXjllVfQoEEDafqgQYOwa9cui9fzxx9/YPHixejevTvWrVuHyZMnY9q0aUhPTzf5muTkZLRs2VL6CQ4OtmVT7E735OOTCkTk6crKyuQOwa289957AP67EUZERORJUlNTERISgsGDB8sditfRaDQAYHJsc+107XJEREREZJ2ysjJERkYiMjISaWlpWLNmDdLS0qRpvEfmfWxKsh0+fBgDBgyoNd3Pzw8XLlyweD01NTUYOHAg3nzzTQwYMACJiYlISEjA4sWLTb5mxowZOHfunPRz7Nixem2DM9TU1MgdAhGR07GSjYiIyDvxiW35BAYGAgCKioqMztdO1y5HRERERJYzHP82MTERKpUKiYmJ8Pf3l8a/ZUWbd7EpydalSxcUFxfXmv7jjz8iJCTE4vW0a9eu1vK9evXC0aNHTb7Gz88PLVq00PtxJbo3l5lkIyIiIiIiIkeLjo4GAKSnp6OkpERvXklJCTIyMgAAMTExTo+NiIiIyN0Zjn+7ZMkSJCQkYMmSJSgoKJASbXl5eXKHSk5kU5Lt+eefR1JSElauXAkhBLZu3Yp58+bh5ZdfxvPPP2/xem699Vbs27dPb9r+/fvRuXNnW8KTFbuLJCJvx0o2IiIiIudSKpVQKpWorKxEeHi43tPV4eHhqKyshFKpREREhNyhEhEREbkdjn9Lxvja8uLHHnsMVVVVeOGFF3Dx4kVMmDABHTp0wAcffID/+7//s3g9zzzzDIYOHYo333wTDz/8MLZu3QqVSgWVSmVLeLJiJRsReTsm2YiIiIicS6FQIDs7W+rGyPA7tVKpRHZ2Nq/TyO2MHTsWarUad9xxB77++mu5wyEislhqaipSU1NZhOEhOP4tGWNTJRsAJCQk4M8//4RGo8GpU6dw7NgxTJo0yap1DB48GN988w2++OIL9OnTB2+88QZSUlKkri7cESvZiIiIiIiIyNkCAgKQk5OD3NxcTJo0CaNHj8akSZOQm5uLnJwcBAQEyB0ikdWmTZuG9PR0ucMgIrIax6r1LBz/loyxqZJt9uzZiImJQbdu3dCmTRubArnvvvtw33332bQOV8VKNiLyRnxCmoiIiEgeCoVC6jqSyBMMHz4carVa7jCIiMjLRUdHIy0tDenp6ZgyZYpel5Ec/9Z72VTJtmrVKvTo0QO33HILFi5ciH/++cdecXkUVrIRERERERERkSfKz8/H6NGj0b59eygUCqxevbrWMosWLUKXLl3QuHFjhIWFYdOmTc4PlIiIyEYc/5aMsSnJtnPnTuzcuRORkZFYsGABOnTogHvuuQeff/45Ll68aK8Y3R4r2YjIG7GSjYiIiIjI8124cAGhoaFYuHCh0fkrV67E008/jVdeeQU7duzAbbfdhlGjRuHo0aPSMmFhYejTp0+tnxMnTlgdz+XLl1FeXq73Q0REZA/a8W+1iTZtgk2lUkkJNo5/631s6i4SAHr37o0333wTb775JjZv3ozPP/8cTz/9NCZPnuzVFzK6iTUm2YjIG/GCgoiIiIjI840aNQqjRo0yOX/BggWYNGkS4uPjAQApKSlYt24dFi9ejOTkZACmx7apj+TkZMyePdtu6yMiItKlHf82Ly8PmZmZ0Gg0CAwMRExMDCIiIng/zAvZnGTT1bRpU/j7+6NRo0Y4f/68PVftdoQQ0v/ZXSQREREREXmL1NRUpKam8nsQEeHKlSsoKirCSy+9pDd9xIgR2LJli0Pec8aMGZg+fbr0e3l5OYKDgx3yXkRE5J04/i3psqm7SAA4fPgw5s2bh5CQEAwaNAjbt2/HrFmzcOrUKXvE57ZYyUZE3o5P7hAREXmnpKQklJaWorCwUO5QiEhmp0+fRnV1NYKCgvSmBwUFWXXfaOTIkXjooYewdu1adOzY0Wz74ufnhxYtWuj9EBERETmKTZVs4eHh2Lp1K/r27YvHHnsMEyZMQIcOHewVm1vTTazxCU4iIiIiIiIi8laGD+AJIax6KG/dunX2DomIiMgphBBQq9XIysqSupaMjo6GUqnkA+oewqYk2/Dhw7Fs2TL07t3bXvF4DN3uIlnJRkTeiBcKRERERETerU2bNmjQoEGtqjWNRlOrus3e2HWt8/AGMpFpbIu8W1lZGaKioqBWq/Wmp6WlQalUIjs7GwEBAfIER3ZjU3eRb775Jnr37o0rV65g3759qKqqsldcbo+VbETk7fhlioiIiIjIuzVq1AhhYWHYsGGD3vQNGzZg6NChDn1vdl3rHGVlZYiMjERkZCTS0tKwZs0apKWlSdPKysrkDpFIVmyLvJcQQkqw+fv7IzExESqVComJifD394darUZUVJResQ65J5uSbJWVlZg0aRKaNGmC3r174+jRowCAadOm4a233rJLgO7I8MRgJRsREREREREReaKKigoUFxejuLgYAHD48GEUFxdL94imT5+OZcuW4ZNPPsHevXvxzDPP4OjRo5g8ebKMUZM98AYyEZFparVaah8LCgqwZMkSJCQkYMmSJSgoKJDayby8PLlDJRvZlGR76aWXUFJSArVajcaNG0vT77zzTqxcudLm4NwVk2xERKxkIyIiIiLyBtu2bcOAAQMwYMAAANeSagMGDMDrr78OABg/fjxSUlIwZ84c9O/fH/n5+Vi7di06d+7s0LhSU1MREhKCwYMHO/R9vBlvIBMRmZaVlQUAiIuLQ2hoqN680NBQxMbGAgAyMzOdHhvZl01jsq1evRorV67ELbfconczNSQkBIcOHbI5OHdlmFRjd5FERERERETkzjjmEpmiVCrrrFSaOnUqpk6d6qSIrklKSkJSUhLKy8vRsmVLp763t7DkBrJKpUJmZiaUSqUMERIRyUej0QAAwsLCjM7XTtcuR+7LpiTbP//8g8DAwFrTL1y44NUX2axkIyJiJRsRERGRpygrK5O6hNOVlpYGpVKJ7OxsBAQEyBMcEcmGN5CJiEzT5k2KioqQkJBQa35RUZHecuS+bOoucvDgwfjhhx+k37U3VJcuXYrw8HDbInNjrGQjImKSjYiIiMgTcMwlIjJF9wayMbyBTETeLDo6GgCQnp6OkpISvXklJSXIyMgAAMTExDg9NrIvmyrZkpOTcffdd6O0tBRVVVX44IMPsGfPHhQUFHh1f8usZCMiIiIiIiJPYDjmkrZLuISEBEyZMgXh4eHSmEvsDo7Iu0RHRyMtLQ3p6emYMmWKXpeRvIFMRN5OqVRCqVRCrVYjPDwcsbGxCAsLQ1FRETIyMlBZWQmlUomIiAjpNdZ0z82uvF2HTUm2oUOHYvPmzXjvvffQrVs3rF+/HgMHDkRBQQH69u1rrxjdDivZiIiIiIiIyBNwzCVyV6mpqUhNTeU9GQeqzw1kIiJvoVAokJ2dLfUIoFKp9OZru9zWJsSs6Z6bXXm7FpuSbADQt29ffPbZZ/aIxWMUFhbq/c5KNiLyRoZVvfn5+ejSpQuCg4Nlisg1HThwAIcPH8aAAQPQtm1bucMhcmsVFRXIz8/HHXfcAT8/P7nDITdx/Phx7N+/H8OHD5c7FI/BG9uehWMukbtKSkpCUlISysvL0bJlS7nD8UjW3kAmIvI2AQEByMnJQV5eHjIzM6WKs5iYGEREREjto2H33HFxcdJDC+np6VL33Dk5OQBg8bJsf53D5iQb6Tt//nytp/f45ZKIvF1BQYH09CLH69DXo0cPAEBQUBBOnTolczRE7u3hhx/Gjz/+iGnTpuGDDz6QOxxyEx07dgQAbNy4EXfccYfM0XgG3tj2LLpjLiUkJNSazzGXiLybpTeQidzd+fPnERkZiatXr6K6uhrTpk0z+neRyJBCoZAqf02xpntubTeR7MrbdfjIHYCnOXfuXK1pvKFMRN5EW42l2/Z58zidlvr777/lDoHI7f34448AgMWLF8scCbmj3NxcuUMgcknR0dEAgPT0dJSUlOjN45hLRAT8dwN52bJl+O6777Bs2TKOCUQep0mTJsjLy0NxcTF+++03JCcn48yZM3KHRR7Cku65ASAzM9OqZck5WMlmZ8YSakyyEZE3efnll/HMM8/oTauqqpIpGiLyRrz2IiKyH465RO6KXdd6Jm0FR1ZWllQ1Fx0dzaQeOVyDBg3QpEkTAMClS5dQXV3N7x1kN/XpntvSZdluOp7VlWw7d+7kGGNmMMlGRN6uQYMGAPTbPibZiMiZeO1FRGQ/2jGXlEolKisroVKpkJiYCJVKJSXYOOYSuaKkpCSUlpaisLBQ7lDITsrKyhAZGYnIyEikpaVhzZo1SEtLk6aVlZXJHSLJKD8/H6NHj0b79u2hUCiwevXqWsssWrQIXbp0QePGjREWFoZNmzZZ9R5nz55FaGgoOnbsiBdeeAFt2rSxU/Tk7XS75zZGt3tua5Zlu+kcVifZBgwYgNOnTwMAunbtyrJYA8YSkExKEpE38fG59qeFSTYikguTbERE9qUdcyk3NxeTJk3C6NGjMWnSJOTm5iInJwcBAQFyh0hEHk4IgaioKGkcIm2yPzExEf7+/lCr1YiKiuJ1oBe7cOECQkNDsXDhQqPzV65ciaeffhqvvPIKduzYgdtuuw2jRo3C0aNHpWXCwsLQp0+fWj8nTpwAALRq1QolJSU4fPgwPv/8c7PDPly+fBnl5eV6P0SmWNM9t6XLRkdHs910Equ7i2zVqhUOHz6MwMBAHDlyhAkkA6xkIyJvp02y6WKSjYiIXB2v2YnM0465pFQq5Q6FiLyQWq2WbhQXFBRI4xAlJCRgypQpCA8Ph1qtRl5eHtspLzVq1CiMGjXK5PwFCxZg0qRJiI+PBwCkpKRg3bp1WLx4MZKTkwGYrgwyFBQUhH79+iE/Px8PPfSQ0WWSk5Mxe/ZsK7eCvJW13XNbsqy2m0i2m45ndSXbuHHjEBERgS5dukChUGDQoEHo2rWr0R9vxCQbEXk7bVdBum0fx0EgImfitRfVB48bIiIi15WVlQUAiIuLk24Ua4WGhiI2NhYAkJmZ6fTYyPVduXIFRUVFGDFihN70ESNGYMuWLRat4++//5aq0crLy5Gfn4+bbrrJ5PIzZszAuXPnpJ9jx47VfwPI41nTPbely37++ecA2G46g9WVbCqVClFRUTh48CCmTZuGhIQENG/e3BGxuSUm2YjI21jSxrGSjYiciddeRERERJ5Fo9EAuNadnzHa6drliHSdPn0a1dXVCAoK0pseFBSEU6dOWbSOv/76C5MmTYIQAkIIPPHEE+jXr5/J5f38/ODn52dT3ORdtN1z5+XlITMzExqNBoGBgYiJiUFERITe+LeWLMt203msTrIBwN133w3gWgntU089xSSbDibZiMjbGLZxxirZmGQjIiIiIiJnSk1NRWpqKnvV8BCBgYEArt2LTEhIqDVf282fdjkiY3STFMC1+xaG00wJCwtDcXGx1e/JtoisYU333HUty3bTeazuLlLXp59+KiXY/vrrLxw/ftwuQbkzY2PUcdw6IvJkTLIREREREZGrSUpKQmlpKQoLC+UOhewgOjoaAJCeno6SkhK9eSUlJcjIyAAAxMTEOD02cn1t2rRBgwYNalWtaTSaWtVt9sa2iOTCdtN5bEqy1dTUYM6cOWjZsiU6d+6MTp06oVWrVnjjjTe8NrHESjYi8jaWtPdMshERkavjNTsREZHr0lZrVFZWIjw8XBp/KDExEeHh4dI4RBEREXKHSi6oUaNGCAsLw4YNG/Smb9iwAUOHDnXoe6empiIkJASDBw926PsQGWK76Tz16i5S65VXXkFaWhreeust3HrrrRBCYPPmzZg1axYuXbqEefPm2StOt8EkGxF5G1ayERGRJ+A1OxERketSKBTIzs5GVFQU1Go1VCqV3nylUons7GyLu/4jz1NRUYGDBw9Kvx8+fBjFxcVo3bo1OnXqhOnTpyM2NhaDBg1CeHg4VCoVjh49ismTJzs0rqSkJCQlJaG8vBwtW7Z06HsR6WK76Tw2Jdk+++wzLFu2DGPGjJGmhYaGokOHDpg6dSqTbGamERF5ClayERERERERkaMFBAQgJycHeXl5yMzMhEajQWBgIGJiYhAREcEbxV5u27ZtGD58uPT79OnTAQATJ07E8uXLMX78eJw5cwZz5szByZMn0adPH6xduxadO3eWK2Qih2O76Rw2Jdn+/fdf9OzZs9b0nj174t9//7Vl1W6LSTYi8jaGSTZWshEREXm31NRUpKamorq6Wu5QiIjIwygUCqkLNCJdSqWyznuwU6dOxdSpU50U0TW8LiK5sd10PJvGZAsNDcXChQtrTV+4cCFCQ0NtWbXbMlbR4a3j0xGRd2B3kURERKQrKSkJpaWlKCwslDsUIiIiIlnxuojI89lUyfbOO+/g3nvvxcaNGxEeHg6FQoEtW7bg2LFjWLt2rb1idCusZCMib8PuIomIyBPwmp2IyLOweoSIiIicwaZKtoiICOzfvx9jx47F2bNn8e+//yIqKgr79u3DbbfdZq8Y3QqTbETkbVjJRkREnoDX7EREnoXVI0REROQMNlWyAUD79u0xb948e8TiEZhkIyJvY0klG58eJSIiIiIiIiJvw6paIs9nUyUb1WbsZjOTbETkyQzbPVayERERERERERGxqpbIGzDJZmfGEmqWVHkQEbkrdhdJRERERERERERE3ohJNjtjd5FE5G0seZCASTYiInJ1vGYnIiIiIiIia9U7ySaEwJ9//onKykp7xgMASE5OhkKhwNNPP233dTsak2xE5G1YyUZERJ6A1+xEREREZG+pqakICQnB4MGD5Q6FiBzEpiRb9+7d8ddff9kzHhQWFkKlUqFfv352Xa+zMMlGRN7Gkko2bx7gl38DiIiIiIiIiLwTx2QjdyKEQG5uLuLj4zFmzBjEx8cjNzeX97bqUO8km4+PD7p3744zZ87YLZiKigpER0dj6dKlCAgIsNt67a2mpgZff/01jh07ZnSeIR6EziGEQHZ2No4cOSJ3KORihBBYtWoVjw0727FjB3Jycmq1e3VVslVUVOCLL77AuXPnsHr1ahw6dEjv9QcOHMC3337rwMgdLz8/H1u3bgUAXLhwQW/eV199ZfF6fvvtN8yfPx87duywa3zWOnnyJL788ku3rkgsLi7Gxo0b5Q6DiIiIiIiIiMjllJWVITIyEpGRkUhLS8OaNWuQlpYmTSsrK5M7RJfla8uL33nnHTz//PNYvHgx+vTpY3MwSUlJuPfee3HnnXdi7ty5Zpe9fPkyLl++LP1eXl5u8/tb6pNPPkFCQgIUCkWtm8vGEmqWVHmQ7b766iuMHz8eABObpG/FihWYMGECAB4b9jRw4EAAQEFBgd70upJsCQkJWLFihd5rdJft0aMHAGD9+vW466677Bu0E5w+fRoREREArrX/GRkZevMffvhhi9ZTXV2NYcOGoaqqCm3atME///xj91gt1adPH/z7779499138dxzz8kWhy0GDBgAADh48CC6desmczRERERE5GipqalITU316l41iIiILCGEQFRUFNRqNfz9/REXF4ewsDAUFRUhPT0darUaUVFRyMnJke770X/qXckGADExMdi6dStCQ0Ph7++P1q1b6/1YY8WKFdi+fTuSk5MtWj45ORktW7aUfoKDg+uzCfWyYcMGAJZ3Dcmb+s6Rl5cndwjkotRqtdwheDRLKgR1k2yGCTZTDJN37uLUqVPS/6uqqvDvv//Waz1VVVXSfjt9+rRdYqsv7Tb88MMPssZhD/v375c7BCJyUbxmJyLyLOyijYhcAcdkI3egVqulBFtBQQGWLFmChIQELFmyBAUFBfD394dareb9dxNsqmRLSUmxSxDHjh3DU089hfXr16Nx48YWvWbGjBmYPn269Ht5eblTE22maL+cd+vWDV26dMHGjRv5hd1JmEUnkodhG1dXJZul3LUKWLctunr1ar23w3C/CiFkb+fkfn974JPMRGQKr9mJiIiIyN6SkpKQlJSE8vJytGzZUu5wiIzKysoCAMTFxSE0NFRvXmhoKGJjY6FSqZCZmQmlUilDhK7NpiTbxIkT7RJEUVERNBoNwsLCpGnV1dXIz8/HwoULcfnyZTRo0EDvNX5+fvDz87PL+9uT9su5j48PfHx89KYREXkiS5JI3pRk03X16tV6J3UM/3ZUVVWhYcOG9gir3jwhyebO48oREREREREREdmbRqMBAL38jC7tdO1ypM+m7iIB4NChQ3j11VfxyCOPSDv5p59+wp49eyxexx133IFdu3ahuLhY+hk0aBCio6NRXFxcK8HmyrQ3hRUKhdFqDiIiT2OYDDPW9tUn0eQJFUfWVrLp7jPD1129etVucdWXJyTZPOG4IiIiIiIiIiKyl8DAQADXiqGM0U7XLkf6bEqy5eXloW/fvvjtt9+QnZ2NiooKAMDOnTsxc+ZMi9fTvHlz9OnTR++nadOmuO6669CnTx9bQnQ67Q1S3SSbJ1RjuANPuPlL5I7YXaQ+3SSOtZVsuttsuF+ZZLMPVrIRkSl8MI6IiIiIiLxRdHQ0ACA9PR0lJSV680pKSpCRkQEAiImJcXps7sCmJNtLL72EuXPnYsOGDWjUqJE0ffjw4SgoKLA5OHdkLMnGL+xE5GnMVVwZ401JNt1traqqsmo7mGRzPCbZiIiIiIiIiIj+o1QqoVQqUVlZifDwcCQmJkKlUiExMRHh4eGorKyEUqlERESE9BohBHJzcxEfH48xY8YgPj4eubm5XpkLsWlMtl27duHzzz+vNb1t27Y4c+aMLauGWq226fVyYZJNPp5w85fIXZhLBtmrks1du/XTTYZZ211kdXW1NO6asTHZyHbuelwRkePxmp2IiIiIiLyRQqFAdnY2oqKioFaroVKp9OYrlUpkZ2dL9/zKysqkZXWlpaVJywYEBDgrfNnZlGRr1aoVTp48iS5duuhN37FjBzp06GBTYO5K++Xcx8cHPj4+etOIiDwFK9lMM0yysbtI18JkJRGR46WmpiI1NZUPNpBshBBQq9XIysqCRqNBYGAgoqOjoVQqPeJ6hoiI3Aevi8hdBAQEICcnB3l5ecjMzJSuoWJiYhAREaH3UL02webv74+4uDiEhYWhqKgI6enpUKvViIqKQk5Ojtdcd9mUZJswYQJefPFFfPXVV1AoFKipqcHmzZvx3HPPIS4uzl4xuhXtDVJWshGRJ9NNBhkmw4y1ffW5mHTXC1BbK9m0DF/HJJt9uOtxRUTkTpKSkpCUlITy8nK0bNlS7nDIy/DJaiIiciW8LiJ3olAopK4jTVGr1VKCraCgAKGhoQCAhIQETJkyBeHh4VCr1cjLyzO7Hk9i05hs8+bNQ6dOndChQwdUVFQgJCQEt99+O4YOHYpXX33VXjG6FWPdRbprNYa78YSbv0TuwpbuIi09V9217WQlm2tjJRsRmcIH44jcn+GT1brjifj7+0tPVvN8JyIiIqqfrKwsAEBcXJyUYNMKDQ1FbGwsACAzM1Oa7unjt9lUydawYUNkZWVhzpw52LFjB2pqajBgwAB0797dXvG5HY7JRkTewJbuIn18fCxKPLlrkk13W6uqqqzaDibZHMPW8QGJiIjIPfDJaiIiIiLH0mg0AICwsDCj87XTtct5Qy8DNlWyaXXr1g3jxo3DQw895NUJNoBjshGRd7C2u0hWsllGd1lXTLK5K1u7LiUiIiLHseeTzfV5spqIiIiILBcYGAgAKCoqMjpfOz0wMNBrehmwOcmWlpaGPn36oHHjxmjcuDH69OmDZcuW2SM2t8Qx2YjIG5irZKsriWZpks1dkyG2jMlmLnnpCkk2T6hkc9fjiogcg9fpRPIqKytDZGQkIiMjkZaWhjVr1iAtLU2aVlZWZtX6rH2ymjxbamoqQkJCMHjwYLlDISIi8hjR0dEAgPT0dJSUlOjNKykpQUZGBgAgJiamVi8DS5YsQUJCApYsWYKCggIp0ZaXl+f07bAnm5Jsr732Gp566imMHj0aX331Fb766iuMHj0azzzzDMdkY5LN6dz15i+ROzLXrWFd05lkM81cJZsrdHPoru2s7mfgCvuRiFyHblvLa3Yi53LEk83WPFlNni8pKQmlpaUoLCyUOxQiIiKPoVQqoVQqUVlZifDwcL1ruPDwcFRWVkKpVCIiIsJrehmwaUy2xYsXY+nSpXjkkUekaWPGjEG/fv3w5JNPYu7cuTYH6G6MJdnctcszd+OuN3+J3JG5JFtdDxiwu0jTOCabY3BMNiIyxZKHRogcSQgBtVqNrKwsaDQaBAYGIjo6Gkql0m3/7lrKEeOnRUdHIy0tDenp6ZgyZYrezRzDJ6uJiIiIyHoKhQLZ2dnSw1IqlUpvvnacNYVC4TW9DNiUZKuursagQYNqTQ8LC/Pam1isZCMib2Cuu0h7cdckm+7fv6qqqnp3F8kkm/0wyUZEpvA6neTkDYPAm2PJk80qlQqZmZkWJ9m0T1ar1WqEh4cjNjYWYWFhKCoqQkZGht6T1URERERUPwEBAcjJyUFeXh4yMzOlh8ViYmIQEREh3T/S7WUgISGh1no8pZcBm5JsMTExWLx4MRYsWKA3XaVSSX1zehvtF3UfHx/4+PjoTSMi8hTmxg4zfMDAmjbQGck7R7Olks1cd5GukGRzVxyTjYhM4XU6ycWwq8S4uDgpGZSeni51lZiTk+O2D7nUxRFPNlvzZDUREZEzpKamIjU1ld9FyeMoFArpASdTvKWXAauTbNOnT5f+r1AosGzZMqxfvx633HILAODXX3/FsWPHEBcXZ78o3Yj2pjAr2YjIk5lLhhnetLCmckh3Xe56AWrLmGzmkpeukGRz1xtSTLIRkSm8Tie5OKKrRHfjqCebLX2ymoiIyBmSkpKQlJSE8vJytGzZUu5wiJzKW3oZsDrJtmPHDr3ftU+XHTp0CADQtm1btG3bFnv27LFDeO6H3UXKh1+WiJzHXDJIS9v2GSbZjJ2rQggoFAq9BIi7JkM8uZLNXdtZ3WOU3UUSkS7dtpbX7ORMjugq0d048slmS56sJiIiIiLH8pZeBqxOsuXm5joiDo9hLMnmrl2euRt3PxmJ3Im5ijPDBwwsSQ7V1NSgQYMGFiXvXJ29KtkMb/a6QnLIXdtZjslGRKaYa3eJHMlbBoE3x1uebCYiIiLyZt7Qy4BNY7JRbaxkIyJvYE33e96WZNNN4lRVVdktycZKtvpjko2ITOF1OsnFWwaBN8dbnmwmIiIi8nae3suATUm2S5cu4aOPPkJubi40Gk2tG4nbt2+3KTh3pP2i7uPjAx8fH71pRESewt6VbNXV1WjYsKHeutw1yebJ3UW6K47JRkSm8Dqd5OItg8DXxRuebCYiIiIiz2ZTku1///sfNmzYgAcffBA333wzL4Dx301hVrLZrry8HFlZWYiKikJQUJDc4RC5latXr2Lp0qVo1aoVJkyYYHK5HTt2YM+ePVbfwNFt19atW6c3z/BvgSXJoUWLFuGRRx7Bt99+K01ztWRIRUUFMjMz8cADD+D66683uZzu9u7YsQPffPONxe+xdetWbNq0CVVVVfj777/15n300UeIi4tDgwYNLF7fvn37sGnTJjz22GO1Xpebm4sLFy7gvvvuq/W66upqLF26FE2bNkWbNm2k6db+nf/yyy/RqVMn3HLLLVa9zt50j9cff/xRxkhsc/DgQeTm5uLRRx9Fw4YN9eZt2rQJZ86cwQMPPGB2Hf/88w++/vprTJgwQRp0+9SpU/jmm28wcOBAlJaW4tFHH7X4s/7yyy/RuXNnDBkypF7bRCQ3XqeTXNhV4n88/clmIiIiIvJsNiXZfvjhB6xduxa33nqrveJxe+wu0n4mT56ML774AkuWLEFJSUmdyzPJS/SfDRs2ICkpCQAwZMgQdOvWzehyAwcOBAC0a9cOd9xxh8Xr160yKygoMLqMqUo2Y+fqs88+i2effdbke7iCJ598EsuXL0dKSgp+//13k8vpdke4bNkyq95j0qRJJuft2LEDubm5uPPOOy1eX8+ePQFcS5olJiZK04UQiIyMBACcPHmyVtIwJycHU6ZMqbU+a9rZ4uJijB8/Xno/OekeS3/88QeuXLmCRo0ayRhR/XTv3h0AcP78eUyfPl1v3u233w4AOHToELp27WpyHffddx+2bt2KjRs3YtWqVQCu3ejdt2+ftIy/vz/+7//+r854XOkzJqov3WOXxzE5E7tKJCIiIiLyDD62vLhDhw5o3ry5vWLxCMaSbK52o9hdfP311wCAnTt3WrQ8v4AS/efs2bNG/2/K7t27rVq/qXZt9+7dtR4w8JQxsFavXg0AeskIYxzZ5p87d65er/vtt9/0fte9kfzPP//UWv7MmTNG12NNO3vgwAGLl3U0wxvnlZWVMkViH7/88ovJecePHzf72q1btwIAsrOzpWmGx7R2HKC6uNJnTFRf5sbCJHI0bVeJubm5mDRpEkaPHo1JkyYhNzcXOTk5CAgIkDtEIiIiIiKqg02VbPPnz8eLL76IJUuWoHPnzvaKya2xks1+XK2rOCJ3onvT0JKkj7XtlLHlBw8ejN69e+PQoUN60y2pZDPG1R5QsHQfOSLu2267DZs2bar3ug27iqxrPZ6SGNXytPHtDD9Pe19naMeUrQuvb8gT8DgmubGrRCIiIiIi92ZTJdugQYNw6dIldO3aFc2bN0fr1q31fryR9salj4+PdJOKX97rx9VusBO5E912xxEJa2Pnp6/vtec2DB8wMExoyJmscgZHxG3r3xPDpExdx4SpJJS7Vgwb7jd3TyIafp723h5Lk2xEnoDX6URERERkqYsXL6Jz58547rnn5A6FiFyITZVsjzzyCI4fP44333wTQUFBbnvzzZ5YyUZErsDaSjZr229j7VrDhg2Nrqu+VUOulmSzdB85os3XJj2cVcnm6Uk2T6tks/f2GK7fFHc9Hoh08TqdiIiITBFCQK1WIysrCxqNBoGBgYiOjoZSqeS1sJeaN28ehgwZIncYRORibEqybdmyBQUFBQgNDbVXPG6PSTb58AKH6D+6SRRnVbJpk2xapirZLD1X3bXLWEckB20d41NbZajlbZVshvvN3ZNshp+nXEk2Ik+ge53Oa3YiItd07NgxxMbGQqPRwNfXF6+99hoeeughucMiD1dWVoaoqCio1Wq96WlpaVAqlcjOzubYmV7mwIED+P333zF69Girx7UnIs9mU39APXv2RGVlpb1i8QjGkmyuVo3hqdz15i+RI+jeKHREG2QuyWb4gEF9u7Jz17bTkZVs9uoukpVs7p1kM1fJZo/jj91FkjfRbQ+ZZCOiugghkJubi/j4eIwZMwbx8fHIzc1l++Fgvr6+SElJQWlpKTZu3IhnnnkGFy5ckDss8mBCCCnB5u/vj8TERKhUKiQmJsLf3x9qtRpRUVE8911Ifn4+Ro8ejfbt20OhUGD16tW1llm0aBG6dOmCxo0bIywsDJs2bbLqPZ577jkkJyfbKWIi8iQ2VbK99dZbePbZZzFv3jz07du3VhVDixYtbArOHWn/wHJMNiKSkyXdRdry9L657iIN1TehwUq2/9jaXaRh5VNd6zGVGGWSzTWYS7LZ4/izNMnm6tc3Qgi3PWbJeVjJRkSWYlWLfNq1a4d27doBAAIDA9G6dWv8+++/aNq0qcyRkadSq9VSgk23B6+EhARMmTIF4eHhUKvVyMvLg1KplDdYAgBcuHABoaGheOyxxzBu3Lha81euXImnn34aixYtwq233oqPP/4Yo0aNQmlpKTp16gQACAsLw+XLl2u9dv369SgsLESPHj3Qo0cPbNmyxaKYLl++rLe+8vLyem4dEbk6mx5Vvvvuu1FQUIA77rgDgYGBCAgIQEBAAFq1auXRF5fmbthob26xu0gi1+GNN1kt6S6yvhVmhuvXMlXJ5iljslnKkd1F2quSzdu6izTcb7Yc+67AXJLNHglET6lkc9c2hJyLSTYisgSrWsxzRgWJ1rZt21BTU4Pg4GAboyYyLSsrCwAQFxdXa4ic0NBQxMbGAgAyMzOdHhsZN2rUKMydOxdRUVFG5y9YsACTJk1CfHw8evXqhZSUFAQHB2Px4sXSMkVFRdi9e3etn/bt2+PXX3/FihUrcMMNN+C5557D0qVLMWfOHLMxJScno2XLltIP2y2iurlrrwE2VbLl5ubaKw63Yu5D5ZhsRK7HG89BS7qLtCXRYGyfaqulDBMx3pZkc2R3kfXdJ4ZJk/p2F+muPL2STfdctse2WTomm+657opVY9XV1Rxfjurk6O6VicgzsKrFPEdXkLRv3x4AcObMGcTFxWHZsmWO3SDyehqNBsC149IY7XTtcuTarly5gqKiIrz00kt600eMGGFxVVpycrLUVeTy5cuxe/duvP7662ZfM2PGDEyfPl36vby8nIk2IjPcudcAm5JsERER9orDYzDJJh9Xv9lH5EyWVLLp3oy39nwxV8mmZaqSzdL3YneR/7F1jE/D7iJ1962xdXpaJZvhNrp7ks3w87R3JVt9ElM1NTUul9BiwoQswUo2x0hNTUVqaqrb/i0nMmRJVYtKpUJmZqZXJtlGjRqFUaNGmZyvW0ECACkpKVi3bh0WL14s3bQuKioy+x6XL1/G2LFjMWPGDAwdOrTOZdlFG9kiMDAQwLXjMiEhodZ87fGqXY5c2+nTp1FdXY2goCC96UFBQTh16pTD3tfPzw9+fn68LiKygGGvAXFxcQgLC0NRURHS09OlXgNycnJc8t6UTUm2/Px8s/Nvv/12W1bvlowl2XiTxzl0TzBXvNlH5EyWPJlvy814dhdpmiMr2ezVXWRdY/Z5WpLN0yvZXKG7SFf8u8svsWQJS8YwJeslJSUhKSkJ5eXlaNmypdzhENmMVS31Z48KEiEEHn30UURGRkrd9JmTnJyM2bNn1yteIgCIjo5GWloa0tPTMWXKFL3keklJCTIyMgAAMTExcoVI9WD4fba+D+g/+uijVi3P6yKiurl7rwE2JdmMbZBu4+SNNze0N/J8fHxsvilK9cd9Tt7OkpuGujfjrW2vjZ1jhpVsWobdUrKSzXr16S5S9zMyrHyq6/gw1ZUok2yuwVySzR7jzVmaLNPdr9XV1SbbALkwYUKWYHeRRGQJVrXUnz0qSDZv3oyVK1eiX79+0nhvGRkZ6Nu3r9Hl2UUb2UqpVEKpVEKtViM8PByxsbFSRUVGRgYqKyuhVCrZw5ebaNOmDRo0aFCrzdFoNLXaJiKSh7v3GmBTkq2srEzv96tXr2LHjh147bXXMG/ePJsCc2XmbjJqv5yzu0h58SYJ6XLXxIAtrO0u0tqkZwBmoQAAeqpJREFUAyvZTHNkd5HW/D3R/dwNkya684wdH6xkc22uWsnmatw1UU/Oxe4iicgSrGqxnS0VJMOGDbPqWkPbRRtRfSkUCmRnZ0tdl6lUKr352rGB3PX7kbdp1KgRwsLCsGHDBowdO1aavmHDBtx///0Of392F0lUN3fvNcCmJJuxEte77roLfn5+eOaZZ+rsU9tdmfsCzjHZXAP3OenyxuPB2u4irb0xb66SzfCLRn1v+rvrBagju4u05uaC7n63V3eR9SX3OJmGn4k9qr2cTXcbDD9P3e2RK8nmiuerKyb+yPWwko2ILMGqlvqTs4KEN7bJFgEBAcjJyUFeXh4yMzOh0WgQGBiImJgYREREMMHmYioqKnDw4EHp98OHD6O4uBitW7dGp06dMH36dMTGxmLQoEEIDw+HSqXC0aNHMXnyZIfHxu4iierm7r0G2JRkM6Vt27bYt2+fI1bt8phkk4/hmGxE3sySSjZbbsybq2TTMlXJZumXEXc9jx1ZyWavJJuzK9nkHq/LcL+5YyWb7vlq2P2nvSvZ6sMVz1dXjIlcDyvZiMgSrGqpPzkrSHhjm2ylUCikJLujCSGgVquRlZUlJfSio6OhVCrZtlhg27ZtGD58uPS7tsvYiRMnYvny5Rg/fjzOnDmDOXPm4OTJk+jTpw/Wrl2Lzp07yxUyEelw914DbEqy7dy5U+93IQROnjyJt956q1bfmd7CWJKNN3mcg0k2ov9YW8lmbWWPsXVqb/yzu0jHjclmzQ1g3c/UFSrZ5OQJ3UWaS5raO8lm6efl6n93+dQ6WcKSMUyJiABWtZjjyhUkRO6grKxMSuLrSktLk5L4AQEB8gTnJpRKZZ3fY6ZOnYqpU6c6KaL/sKqWqG7u3muATUm2/v37Q6FQ1GrEbrnlFnzyySc2BeautPvCx8enXjdFyT64z8nbWXLT0FHdRRqqb9d87noB6ordRRp2/1ffJFt9b0DLfePam5Js9ugK09JzT3e/usL5avg5y33ckXtgd5FEZA1nVrW4E1aQENWfEEJKsPn7+yMuLk66sZyeng61Wo2oqCjk5OR4dTLfnbGqlqhu7t5rgE1JtsOHD+v97uPjg7Zt26Jx48Y2BeXqzH2Y2i/n7C5SXrxJQrpctQF2JEu6i7QlyWauu0hWsjmuu0hr/p7o7nfD19XVXaSpRE19/57J/Vl6U5LNHttm6eflaskJwxhcIfFHro/dRRIR2c5VK0hYPULuQK1WSwm2goICqWewhIQETJkyBeHh4VCr1cjLy2OCn4g8mjv3GmBTks1bnzoyd/HIMdlcA/c56fLG48Ha7iLtWclm+Eevvjf93fXLsCtWshm+ztmVbHKfg56WZDN3jtlj2yw99yxJ5juTueOcyBRXSxYTEZH9sHqE3EFWVhYAIC4urtbQO6GhoYiNjYVKpUJmZiaTbG6KCX8iy7lrrwE2JdkA4Oeff8bPP/8MjUZT64upN3YZySSbfFx9bBgiZ7Lk5rdutZI9K9m0TFWyWfrkibuex44ck81eSba6Ktk8rbtIw/e3R5eKzqYbs7ntcWYlm6uNZcXuIqk+WMlGREREctJoNACAsLAwo/O107XLkfthwp/I8/nUvYhps2fPxogRI/Dzzz/j9OnTKCsr0/uxVHJyMgYPHozmzZsjMDAQDzzwAPbt22dLaLLRTbLV56Yo2Qf3OXk7R4/J5ozuIl3tKS9Lb766Q3eR9a1kY3eR8jH3edpyLhs7zyw99+pK1jobu4uk+nC1ZDERERF5l8DAQABAUVGR0fna6drliIjI9dhUybZkyRIsX74csbGxNgWRl5eHpKQkDB48GFVVVXjllVcwYsQIlJaWomnTpjat29m0X859fHxYySYj7nMyRQjh0n342ou13UVaW9lj7Bzz9b32J8Ve3UW6681OV+ku0lzlE7uLdO8km+HnYGmSzdjnYGx5d61kY3eRVB/sLpKIyHOxizZyB9HR0UhLS0N6ejqmTJmi12VkSUkJMjIyAAAxMTFyhUhERHWwKcl25coVDB061OYgfvrpJ73fP/30UwQGBqKoqAi333670ddcvnwZly9fln4vLy+3OQ5LGbtBf+nSJXz00UfYv3+/tIx2uQ8//BC33XYbTp48iUGDBiE8PNwpcW7fvh1qtRpPPfUUGjRoYHSZkpISbNiwAU899VStrt4c4erVq/jwww9x5513IjQ0FL///ju+++479O3bFytXroSfnx9mzpyJFStWSK/R3ly2xrJlyxAVFYVvvvkGTzzxBJo2bYo///wTX3zxBRITExEQEGD1OgsLC7F582ZMmzatXjE5w549e7B27Vo8+eSTaNy4sd3XX1RUhPz8fEybNs3kMWUPR48exeeff17vz8qQ7jnriCRbYWEhvvrqKzz22GPo1auXyeXy8/OxZ88eTJ48GaWlpdJn9e+//+Kjjz7Czp07cdttt+HZZ5+1+Xw01l3kxYsXsXDhQowZMwY9e/bUu7mekZGBl19+GZ988gnGjRsHjUaD8+fPY8KECQCAjRs34s8//8SkSZNqrV/LMOY9e/bg//7v/7By5Uq96Za21ydPnsRLL72EixcvwtfXF48++ij69etn0WtNKSwsxJdffonHHnsMISEhAIALFy5g4cKFGDt2LHr06GHyteaOGyEE5s+fj02bNuG7776zKUZz7z179mz8+++/eOKJJ9ChQwcAwPfff4+CggJMmzYNQUFBAIATJ07gjTfekF6v0WgwdepU+Pr6YsyYMVi2bJk0z/Cmw2effYacnByjceTm5uLjjz9G06ZNcfDgQQwdOhRbtmyBn58fYmJicObMGfz888946qmn9F5XU1OD7777DhcuXMAjjzwiTV+1ahWEEHjwwQdx/vx5LFq0CA8++CC6detmcl+sX78ev/32Gy5evIjhw4djxIgRtZY5e/YsZs6cidOnT6NHjx61lnnrrbfw66+/YubMmdi9ezcKCgowduxYDB8+3OT7GqNtc3v37o0TJ05AqVRi1apVmDp1Kpo3b27yddXV1dK1waBBg4wuk5aWhs6dO+POO+8EYHmSbcmSJWjevDmeffZZbNy4EefPn0d5eTl69epVq3167bXXjCbYX3vtNWg0GowcORLXXXcdfvrpJ/j5+WHIkCFYu3Ytampq8OijjxpNsmVmZiIgIABKpRKpqam4//77oVAosHr1asTFxeGzzz7Dgw8+iJycHHTo0AF79uzBvffeK52PljD29/jChQt455139JbbvHkzunfvbvF6Ha24uBg///wzpk2bVqu9XLNmDXbu3IkGDRpgypQpUjcyQgikpqZi4MCBGDp0KL788kv88ssvuP/++3HHHXfg1KlTWL58OR577DHp/LdGdXU1FixYgL///hsJCQm46aab7LKt9rZz506sX78e0dHRWLRoEQBg6tSpWL58OX755RdMmDAB0dHR9Vq3bpJtzZo1Rpf5/fffMXPmTJSVlaFfv35ISkpCly5d6vV+RETkPOyijdyBduwhtVqN8PBwxMbGIiwsDEVFRcjIyEBlZSWUSiUiIiLkDpXqiQl/Ii8gbPDCCy+IOXPm2LIKow4cOCAAiF27dplcZubMmQJArZ9z587ZPR5DDz/8sPR+Wq+//rpeHNHR0eLVV181GqOzaN/v448/rnOZ+fPnOyWmBQsW6O0HY/vH8MfX19eidb/88stGX//kk08KIYTo0KGDACAeeuihesWuXd9nn31Wr9c7gzbG2bNnO3T9y5Ytc8j6tbSf1YMPPmiX9T3++ONS7FevXrXLOnW1a9dOABDh4eFml9PG8PPPP0v/f/3110VSUpLeMbt27VqbY5o1a5a0vtTUVCHEtTZb9/xbtWqV3vvedNNNAoBo06aNNO2vv/7Si33Hjh1CCCE2bNhQ61z7+uuvhRBC5ObmWnRuW/tz991327xftJ/VLbfcIk176qmnBADh4+Nj9rWtWrUy2Y5/9dVXDtlm7c9jjz2m9/vzzz8vvbd22rPPPitNCwkJsXjd33zzjfS6vXv31jvGbt26Sf//6KOPxJdffin9fvr0aen/J06cEEIIUVFRIU07d+6ciI+PFwCEv7+/2c/B8H2NGT9+vN4y2s/Y3E+XLl3Mvq8lsWh/pkyZYvZ1y5YtMxt/UVFRrfnbt2+Xps2aNUtv+YULF9aKYcWKFbWmvfvuu1Z9pi1atDA5b+TIkUKlUkm/79+/Xxw5ckT6ffr06dL/fXx86nyv+uz3zMxMaZqpz9iVaGN6//339abX1NToxRwbGyvN+/7776XpuudM+/bthRBCDBo0SAAQQ4cOrVdMOTk50jrHjx9f721zNG2MgYGB0v+VSqXefjty5Ei91r179+4612N4XEVFRdm6SbWcO3dOag89iaduF5Gn8tRz1lO3izzHv//+W+vaRvea599//5U7RKfy1HPWU7eLyFNZc87aVMl26dIlqFQqbNy4Ef369av1VO6CBQusXqcQAtOnT8ewYcPQp08fk8vNmDED06dPl34vLy9HcHCw1e9nL7/++qve77qVbHLbtWtXncuY6vvZ3rZv3271ayzdj8JEd2R5eXkAgOPHjwMANmzYYHUMunbu3GnT653ht99+c+j6Hb0PtJ/Vxo0b7b5uU8eJLU6ePAkA2LZtm0XLHzp0SPp/QUFBrW5xz507Z3NMxirZNm3apLeMYTdx2rEwT58+LU37559/pIop4Npn079/f6OVbPfdd59VMd5000144YUX8Oeff2LOnDkml2vXrh1OnjyJ8+fPW7V+Y4x9Vtr9Yks3Ybt37zY7f8WKFRg6dCiGDx+u9/lrJSQkYOnSpSZfb1g9qz1GdI9n7bYBQGlpqUVxA/qVbH/99ZfFrzOku10lJSV61WO61VJnz55Fu3btcOnSJWlaZWUl1Gq19H9bGbbzZ8+erfM19jjvtAzPNUM7duwwO//IkSO1ppnr/tNYl49nzpypNc3ac8jc8ufOnatVyaY7GLvuPnBUF3y6x3ld+9yVGP6tMHyiNTc3V/q/tocE4Fq1npa2Ili7ri1bttQrFt1zw57ngKPoHmNHjx7Vm/f333+jc+fOVq/T8LrAkv2g+7kQERER2SogIAA5OTnIy8tDZmYmNBoNAgMDERMTg4iICJe5v0hERMbZlGTbuXMn+vfvD6D2Dcb6/gF44oknsHPnTvzyyy9ml/Pz84Ofn1+93sMZfHx8XKZLQUd26+dKTCVP7H1zj+N1uDdHJNlsYc14WPVdr/b/hu9lyThshq/RtifG4ta2yaba/yZNmuDixYvS73PnzsWDDz4I4NpN5nnz5hl9XZcuXXDy5EmX7lrBXLswdOhQjB8/HgAwZcoUPPfcc3rzu3XrhsmTJ5tNspka5053n9S3bXLEuFqGf3eMHWu656Kjz8srV67UuYw9x2mr6+9uXfu5rnbBknNZ91wzXMdTTz2FXbt2mewWVMvc53L16lW948/w/LR2nMf6cNfrG0uSpFq622jLOJqmWDqenysyPMbt0QYC7rcfiIiIyDMoFAqp60giInIvNiXZdJ+0tYcnn3wS3333HfLz89GxY0e7rtueLEkgutJTJpYk+1wt8VAfpm6uGN74s3VbXflGv5ajP093O14Mx2STm24M1dXVtWKyxw0+w/fQ/dea9zF8jbY9MbcfjbV/CoWi1g1x3eXMjUGnHV/Qnglueyd4zLULuttmrD2uqamps502nK/97IxVLFrLXKKkvnx8fPT2q7GEgO7xZ+n7GvushJFxFg2Xc3aSra7Ps67tNTZfNz5L2gxzSbaGDRvaPO7j1atXayVodeNyRqJCdz+7QttuKWvaYt1tdERCzJOSbPVtv+rzN9idjjciIm/GcZCIiIjIGVyi1EoIgSeeeALZ2dnIyclxq4HETX3JVigULnMh5yoVdY5m6rOw9+fASjb35mo3xowdT/aoULCkks2SG4k1NTV655C2PbH2PPD19a2VCNH93dfX9DMf2go5uc89c8eOudh0kxnGEpBCiDrbacPXaY8ReyTZ7LEOQz4+PnrrrSvJZukxb+yYteQ4drUkm70r2axNsvn6+po95yxhWMkmRzWQu17fWFP1p7uNussZe0CjPnTX6YzqQ3uyVyWb4X50t/1ARESmJSUlobS0FIWFhXKHQkReLDU1FSEhIRg8eLDcoRCRg7jE3YmkpCRkZmbi888/R/PmzXHq1CmcOnXKLuOyOIIlFRAKhcJlvqRb0p2SK1Xe1Zel3UXauq1y3+h3Be52vOgeG67w+enuv5qaGpNdAdrC2DbXN8mm25Zp2xNrK9mMVc1YWsnWqFEjAPZNmOu+tz2OZ3PHlW4yw1hSQAhRZzttqpLNlbuLrKuSTXeapcd8XesxxZIkm72SFoDju4u0pPLG2DWUdl/Zo5KtqqqqVoJW91xydneR7vR3yR7dRQL22cfuXMlmuP32SrJZsh/c6XgjIiIiInkx4U/k+VwiybZ48WKcO3cOSqUS7dq1k35Wrlwpd2h1YiWb63DWmGyu8rmaw5s/pslVyWau0tIR3UUaq06qb3eRusvVt5KtYcOGZivZnN1dZH2YO68s7S6yvpVslnQXWd/9Y49EnSFrK9ksPeYtrWQz3M+WJNkA+yWGHN1dpCVJGmNJtsuXLwNwXHeRunGzks00a5JsprqLrOt1lnLnJJshZ3YXSURERERERKRlW19BduJq3bdZw1TsPj4+blXJ5gmclWST+0Y/2Uau9sbUTTvDSjFzy1rDnt1F6i6nbU/MnQemKtkMt1P35rG5G/7a7iJdOcFtaXeR9a1kM1Xt6MqVbHIm2QxZmmS7evWqzcknwDGVbLr7sL7dRWoTb/ZKshmO5+fshI27Xt/Yq5KNSTZ99mgDAfffD0RERERERORc7vkIsMx0b3ayks11mLq5Yu/PwVU+V7KcJeeso5m6aWd4Y9rcstbQ3U5TlWyWPAhgGJ92X9anu0h3r2Qzx9JKNmPtcU1NjV0q2erbNhkmSuzBx8enzu4iHZlkMzw+rUmy2YM9K9m022Kuu0hj+9dYkk07zVGVbM5O2Ljr9Y01VcW623jp0iWLX2cpT0qyObOSzZ0fECQiIiIiIiL7cs+7Ey5E+yXb8Mu2u43J5gnYXeR/POXmjyO2w9WSbK5eyWaYZDO1rrrYkmTTVrLZ81y293FgaSWbvbqL1B4z9qhCs0eizpC5SjZjSSNXqmSzh7o+z7o+K2OJT2u7i3RGks2VKtnc6e+eNUk23W00/Ex1z6v6JhzrMzaiq7LXmGyucv1ORES2S01NRUhICAYPHix3KEREROTBmGSrB90v46a+0LtSks1dn/S2lrkxr+zJlatpyDhLzllHM9UeGFZ/mFvWGo5Osllbyebr62tzks3Wc9mRn70t3UXW1NTYpbvI+h43jugu0lwlm7GkkaWx1zfJph2LrD7rrw9bk2zGPhNzlWxydRdpGKczEja6x7y7Xt8Yfv7mjn/dbTQcZ8/YeJnWqs956KrslWRjJRsRkedISkpCaWkpCgsL5Q6FiLwYE/5Ens897064EO2XbGM3j+W8WaH75d9db0JZi2OyOZYcFXzGkjW2coVKNnPVH4bL1pcl3UVa8j5Xr141OhaUvSvZfH1NDxFqr0o2Y91e2ou580N320y9rz26i6zv3xx7jOtmyMfHx2Rs2un1ScgY20ZLttvSSjZ7/d2uK2laV3taV5LNkoS5YUIG+C/x5uvra/acs0RVVZXZ7iIddQ1kqnrLEX8vHMWaBx6cmWRz90q2+h5z9UmyuXtCkoiIiIichwl/Is9n2x0WMnnD3sfHR9ZuBXW//LO7SO9LsjniZqO733zTcoUkm+HNckck2exVyXb16lWjCUJz54GlY7Lp3hR2RiWbI49hWyrZhBB2qWSr7/Y5opLNXHeRxirZ7N1dpKn9VZ/110ddn6c1lWz17S7SWJLN3pVscnQXqbted72+qW+SzbA60R77wpOSbPZoAy1dj7vvKyIiIiIiIncnhIBarUZWVhY0Gg0CAwMRHR0NpVLp9AdxmWSrB90PydQNe4VCIWuSzZKnm91hbDFrmLppae/t9LT9Zil3vqFkyTnraKZuZLpDJZs9uou0ZUy2xo0b6713fTnyGDbXLljSXaQ9Ktnqu33Gxv/Svmd997m57iKNVWbZO8lmeHy62phsdf0dMVZdaGxcOy05xmSrrq6uFae5Li3txR7VW3Kzpi3WPQfNJdk8uZLN0mOpvvHXp5LNVfcVERERERGRNygrK0NUVBTUarXe9LS0NCiVSmRnZyMgIMBp8bjn3QkXov1ibvgFXe7uIi15utnTurpxViWbqybZHJ08kuOGkiO2yRWSbIYJB8Nz0VmVbJa0AfWpZDPG2A19a8dks2eSzd7HgaWVbMYSkEIIq5Ns2s/OHkk2UxVnunFbWyVjrpLNGUk2Q85OstlayWYs8Wmuks3YuezoJBugP9adsQcGHIFJtv/Yo9cCZ4yjZytbupO1hOHfA0v/NhIREREREZHzCSGkBJu/vz8SExOhUqmQmJgIf39/qNVqREVFOfUeMCvZ6kH3AzJ1o8yVkmymbkI5cnwiOZg6cQxvZtm6ra7aXaTudjqiEXHnG0qWnLOOZq6SrT5P0dfFUd1F2lLJZvj+1ibZ7NldpHa/KxQKu7R/tnQXWVNT4zLdRequo2HDhlISxdfX16r9b66SzRndRRrSTQZZu/76sLWSra4x2epbyWbP7iIB4NKlS3px2rL/tOdjXUwlG+V6gKI+rGmLdY8Vb+0u0tHdvbKSjYg8lSt1oURERERkL2q1WkqwFRQUIDQ0FACQkJCAKVOmIDw8HGq1Gnl5eVAqlU6JiUk2G2m/mBsba8hUks3SG0m2sPYGgSvfnLI0Nksr2WzdVldNsjn6ho87PO1uiu5nLtexbmr/1dTU1Lrhbo8EvbHuIuuTZKuqqrJLJZuvr2+tfW/pmGz26i7ScL9WVVWhYcOGdjkmbB2TzVW6izRMsmn5+vpanKgCanc1WVclm6XHvLtUstX1eTpjTDY5KtlsabuuXr2KRo0aWbSc7nu6I2vafN3P2nCcPXt3F1lVVeWUa1RryZ1kM3a+elpvEETkeVytCyW5pKamIjU11W2vGYgchUl4InJnWVlZAIC4uDgpwaYVGhqK2NhYqFQqZGZmMsnmymwdk83ZSTZTcbhLks3SG+vOGpPNW5Ns7vC0uymukGQztf+c2V2kPcdkM3ce1KeSzdfX9J8jR1SyaX83TDRYMj4aULsdNxeb7raZ6i7SFSvZdOM29/kYI4QwmWSTo5LNliRefdiaZKsrKWlJks3YMaldr6+vr9WfqTH2rGSrT5JNdz+Yuq5yxaRRfSvZHJ1k076fPY4Ne3J0kq2uz8NY++Fu10FE5F0Mu1CKi4tDWFgYioqKkJ6eLnWhlJOT43J/I+3t/7V33+FRVPv/wN+bRhISQihpCIQOoUUShCBCKKIg3eulSZEiKlak6BcRUBGvBeEqIFhAkXZV5KKgEIEA0luooQiEoJRQAiEIaTu/P/jt3J3dmdmZ7Zu8X8/DQ3Z2dubMnJkzu+cznzNjxozBmDFjkJeXh4iICE8Xh8grMAhPRL4uJycHAJCUlCT7vmm6aT538M2HWXgRtSCbUqeeO4I0ch10luzJIvAErfurrD+TzdV16Ikgm7N+9HlzkE3uOUbO2L9ymWz2Btnk2hN7houUe3al+ftKXPFMNrnXgPbzyLIsau2CuzLZ7G0DzMuu9Ew2vR34RqNRcbhIU5ntyY6V20Zntn3OWpatoKmt64hcIMm8bI4OMeusTDbzDEFnBNm00PL9xpw33hijJ8im9kw2VwTZvDF45Oogua3zyd7gPhGRp1gOofTZZ59h1KhR+Oyzz7Bjxw7xWSWbN2/2dFGJyM288TlGRER6RUVFAQD27dsn+75pumk+d2CQzUGmC49c57FSJ5o7gjRaMtnMOy28OcgGaOskK+tBNldnJnoiKOus7XBlkE3r8pT2nzsz2ZzxTDal4SJtBUR9Jcimdd9btgNah4tUymTTG2QzHTPOGC5S7Zls9iopKdE1XKSrM9m0ctaybAXZbB3Lcuec3kw2Na4aLtKR/WdPIEXL9dgbr9l6bnhQC7KZ7zN7n8nmiuuPszkShNfC8tqkZZ+YhtYkIvJGWoZQAoBvv/3W7WUjIs9iEN4z5syZg4SEBLRs2dLTRSEqFQYNGgQA+Oabb3Dw4EHJewcPHsTixYsBAE8++aTbysQgmx3Mf1QrdZR5OpNNrTNObh5v7FQx50iQraSkRPKePdlRWurc01xdn750vFhyZf3ZE2RzRyabliCbqY1SG6JNabhIy+027+C1Z7hILc9kc8VwkZbl0LrvLbfFkWeyGY1Grxwu0rzcejuTjUajVw0XqZW7hou0J5NN7bquN7jgaJDN9FlnDxepdz7z/eCuG22cwd7hItUy2ewNsvlCJpunn8mmtFxvv0GNiMoubxxCiYi8A4PwnjFmzBgcO3YMe/bs8XRRiEqF1NRUpKam4s6dO0hJSZFk5aakpODOnTtITU1F+/bt3VYm73rogg8y/TC37AD18/NT/PHt7ky20hBk0/KMELVOYEf3ufnnvbHDDnB9fdoztJu30NIRay+tx5bS/pPrmHZGx53ccJFKHbuhoaGSYd8sy6Ilk81WB29AQIDVvjcPRLgjk81yv5pem5fL1Zlsrhwu0t7zUilQ50gQRstwkfZkx5aWIJtlm2T5HcJWUNLTw0WGhISgqKjIKpPNkbbLnkBKaclkU9tv5seKO57J5o2BI08H2ZT2SXFxsVMyQomInM18CKVRo0ZZve+JIZSIyDswCE9EpYHBYMDKlSvF4W8XLFgged/0fEl3PnuWmWwOUnsmm1LHjrsz2ZTK4UtBNkefu+Lo9sllBXkbZrIpc+VwkVqPB6X9Jxdkc1Umm9IQZaGhoYrLUcpks9xu8w5eZ2eymYJsrspksyeAbO8z2ZSGi7QVpFQKsrkyk838xga9543lcJG2hj90VyabrZs1PBFkk2tD9GayuTvIZjonvSmTzZPfufSyN5NNLcjGTDbntIFyy1FarjfuKyIiwDuHUCIi7+CNzzEiIrJHZGQkNm7ciE2bNmHEiBHo0aMHRowYgU2bNmHjxo2IjIx0a3lKXSZbZmYmWrVqpfj+5cuX8fHHH2PkyJGoW7euzWV98803GD9+PCpVqgQAOHToEP7zn/+I86gF2ZTufJ0wYQJefPFFJCQk2NoczJo1CzVr1kSfPn2s3rty5QreeecdpKenIywsDHFxcXjllVfQpk0bvP/+++J8RqMR8+fPx7Zt2+Dn54fhw4fj3Llz+Pzzz8V5Nm7ciMOHD6Np06Y2y6SFIAh49913sWrVKrRv3x5xcXEICAjA999/L87zxRdfaF7emTNnsHz5crRo0QK7du3C7du3ERwcjOTkZJw7dw5hYWFYtmyZ4ueHDx8u/p2bm4shQ4YgODgYjz32GNasWYNKlSphypQpWLFiBQRBwFNPPSX5/HvvvSf+bRp+csaMGcjLy0Pz5s1x+fJldOzYEcuXL8drr72GChUqiPPfvn0bU6dOxfr16zFmzBg8/fTTAICVK1ciLS0NjzzyCNauXYt+/frh6tWrWLNmDapWrYpdu3bhwQcfREJCAgoLC2XvQgSAX375BQcPHkSPHj3EaTt27MCBAwdw//33W81/8OBBrFixAq+//jrCw8MV91lBQQHGjx+PvXv3on///pJl/fzzz+jUqRMSExORm5uL4OBg+Pn5ITAwEMHBwXjttdcQERGhuGyt/v77b0yaNAl9+/ZFUlISioqKMHXqVAQGBuLNN9+U7cg+cOAAvv/+ezz99NOYOXMmcnNzxR+SgHqw4Pbt23j33Xfx+OOPIzg4GIsXL8aECRMUG+b58+dLvpwWFRXh888/l60r8864r776Svz72rVrVvNu3LgRs2fPRmpqKlasWIHExERs2bIFYWFhGDNmDKpXr47Vq1fj1KlTGDt2LKZPny4eZ+XKlcPMmTPx448/issrKSnB3r17JVknDz/8MDZs2ADgXlaKkqKiIqxfv158PX78eLRt2xZvvPGGZD4tQTZHn8l29+5dNGrUCImJifj3v/+NqlWrivPs3r0bq1evxqRJkxASEgKj0Yjp06cjJSUFnTt3FrfF3KxZs7Bv3z4cOnRInHb8+HF8+eWXaNOmDTp16gTg3g+NuXPn4saNG+J858+fl7ThP/30k2L5tWSy2bq7xvJ9QRDQoEEDnDlzRpx2584drF27Fo888ojqsiyZd+J//fXXsuvUG6iwzGR79dVXxb8nTpyI1q1bqwbZRo8ejTt37uDIkSNISEgQ99sff/xhta4JEybgoYcewmeffYb8/Hzk5eUhNzdXtlyBgYGqmTobNmzA448/rm0jVZg6tVq3bo3x48dj8eLFyM7OxrPPPouWLVtK9vkHH3yA1157DQBw8+ZNvPzyy1i0aJH4/k8//YSCggLJNVMQBJw9exbz58/HSy+95PYgm+mzO3fuFKeZOvTs1aNHD3To0EE8H+rWrYtXXnkFd+/exdSpU1GhQgVUqVJF8j3izJkzeO6555Camqq4D9q0aQN/f380a9YM0dHRuHLlCoxGI/78809cvHgRnTt3xocffii2M2qysrLwwgsvoHLlypg1axY2bNiALVu2ICQkBGPHjpV0RhQXF+Ptt99G586d8dBDD0mWc/z4cXE7//77b0ycOFHy/p9//ompU6ciPj5e8l3NcrjIIUOGiH+XlJTgjTfewKVLl/DCCy8gPT3dqvMkMjISY8eOxZw5c1C5cmVMmDABv/zyi2SeDz/8EAEBAbh58ya6deuGXbt2oXXr1vjpp59QVFSEChUqoHz58sjPz0d4eDimTJmieg2xl+madvnyZVy/fl3TZ6ZPn46CggJs3LgRRUVFqFy5MkJDQ9G0aVNMmzZNvD5euHABDzzwANasWYNWrVpJjikA+PTTT9GuXTs88cQTAJSDaampqahRowaaN2+OWrVqoaSkBE8++STeeecddOvWDSkpKQDu1dv06dPRp08fJCcnWy1HEARMnz4djRs31rOLiIgUmYZQSk9PR0pKCgYPHoykpCTs27cPixcv9sgQSkTkHQYNGoQvv/wS33zzDZ599lnJkJEMwhORrzEYDOL3Ho8TSombN28KAARbm9S5c2cBgBAdHW1zmX5+fgIAYcCAAeK0hx56SFwPAOHixYuCIAjCww8/LJn+2muvCe+8845kmuU/W/bv368670cffWS1zBo1agjnzp2TTHvuuecEg8Egvr7//vtly2O+nY5KS0tT3Xa9/4KDg526PLl/S5YsEf++ceOGuC2nTp2SzPfggw8Khw4dUlzO6NGjJfti+fLlkvcvXbokCIJg9bmQkBBJPVn+u3z5suy+Nr3//vvvS+bv3bu36vzPP/+8ah3+61//kizv22+/1bwvhw8frudwUSyj5fliflzt3LlT9bOBgYGyyzl79qziesePH281/6BBg2TnvXHjhuL237x502r+ZcuWOeU4bdy4sWQ7582bJ/79888/C7t27bL6zMCBA4Vu3bopLrNVq1aK740bN06oXr26zXKZH/dnz561ev/pp58WypUrJ5m2bds2TfvzzJkzVtO6d+8uW+9Tp04VBEF63pmsW7fO5naEh4dbfa5Hjx5W802aNEl837LNtfy3Zs0acd7NmzeL0yMjIwUAwsiRIyXbIPfvvffe03R8xMfHC3fu3NF1TI0bN04QBEEoKCiQTG/WrJkQEBAgALC6xtn6N2HCBGHGjBmK7w8YMECYNm2a+HrKlClC3bp1da3Dnn+2juU6deootg9ytKyzcePG4t9du3YVBEEQkpOTJfOY2rPhw4drWuaAAQOE+Ph4Abh3TTL9reWfwWAQLl68KGzcuNGufRgTEyMkJia6vK4ACOfPnxf++9//aprXkeNn+vTpmuq7Tp064meGDh0qWUaXLl0k886ZM0d8T+542b9/vyAIgjBp0iTN5UxISNA0X0pKiuJ7Dz74oPj3ypUrHa6jVatW6TpntLL87uTov59++knIysrSPH9ERIRYlszMTM2fM/8eYWJex3J++OEHyTLkvkP4MtNvtNK2XUTe7vr160JqaqpsW5Wamipcv35d9nOl9ZwtrdtFpJfRaBTbhpCQEOHpp58W5s+fLzz99NNCSEiI2EYYjUaPlrO0nrOldbuISis952ypy2SzZcuWLQDuZbTZYrpzf9euXeK048ePy85jKTAwEBMmTEBcXJwki0qPS5cuqb5/+/Ztq2nZ2dm4deuWZNqtW7ckGQVKd/jn5+fbUUp558+f1zX/888/j8TERIwcOVL2ffMhqWypUqUKrl69Kr4eNmyYeHfw7du3Ub58eWzduhWrV6+WfM78M3fv3hUzsSz3p9FotJpmzvLOcct58/PzER0dbfU5y2GgLMnVtznzjBbTetTs379f9f2jR49KXptn8diyd+9ezfPqYb4vbW2f6c7z6tWrS45HtYycAwcOWE0zP//NWWYUmLtz544km9G8PEree+89HD16VJJ1J8eyXk6ePCn+nZ+fL5ulU1xcrHrMjh49WnE7i4qKbGZ4zJs3T5JRER8fj59++glLly4VM0xtZbJFRERg48aN+P333xEfH48mTZpgw4YNSElJkc2S2L59u2xZjhw5AsD6fDBtiy1y+0lumvkz7JT27cSJE9GkSRN06dJFnNa2bVssW7YMwcHBaN++PX755Rf07t0bADB58mS8/fbbsssy31cvvPACPvnkE9n58vPzdWc1mY4Z80xHk127dmH37t0YMGAAfvvtN/zxxx8oLCzEDz/8YDX8kDmj0ah6ru3atQt16tQRX9sq84QJE8TMxfHjx6vOW6FCBUyePBm3b99Ghw4dJHdpR0dH44svvsDOnTtRUlKC8PBwhIWFwWg0YsyYMZqymfQ6deqU+Lep3bIc2tB0vd+9e7emZRqNRmRlZQEAtm3bhmrVqinO+84778BoNCIoKAj+/v5o2rQpYmJiEBUVhaVLl2LgwIGS+bt164YxY8bgscceE6dNmzYNRqMRYWFh6Ny5M4KDg9GyZUunfG+oUKEC8vLyZN/Lz8+3Or8MBoNsRrKe475GjRrIzs4WX1u2q0pOnz4t/m350PLff/9d8vrEiROS15ZlNu07tfPIkum6M2DAAGRnZ2Pbtm2y85mOp+DgYLFN+eGHH7Bz505cvHhRnM/878jISMXvh2qc+d3RnKneExIS8NRTT+HXX38Vs6/tIXcsWTp69Ch++OEHvPnmm5LtMj+2pk+fjkmTJikuQ+4ctlXHZ8+eVX2fiMgepiGUNm/ejG+//RY5OTmIiorCk08+ifbt27v1GSWeNGfOHMyZM8crn9FK5Ane+BwjIqLSoMwF2ZxNrqMH+N9QTE899RSOHDmCmTNnOn3dWp8RYdlxahnMMQ0l4clnS7zyyiuoUqWKYpBNj9dff10yNNmECRPQqFEjyTzBwcFWQTbzTnPzerXcLyUlJbr2lbv2q6ufq6IWVHIXe57hVLt2bUmQTemcdaQsWt6zVd5+/frh1KlTNoNsasstKipCcHCw7Dxq6zcfdlHvZ4cMGYJnnnnGanr37t3RoEED1SCb5dCJHTp0QIcOHcTXpiFKr1y5orh+PdS2o3379ti8ebPmz2k5Frt37462bdtKpvn5+aF///7ia/MAh9pQx+b7qkuXLlZBNlPgwVZ9yTHNL/e5Fi1aoEWLFgAgGUYxKipKrPd27dqJN7CYmIbV1bJepXWbGz16NGrXrg0ASE9Px5o1awDIB1wiIyMxbtw48fUjjzyCdevWAbi3H7t06SIJfALA1q1bNZXDHnLb6ehzwiy3WWkIzJ49eyoGBPz8/DBgwACrINvQoUPRrVs3ybQ333zT6vMTJ07E5MmT9RTbyiOPPILHHnsML774ouz7csdzUFAQRo0ahU8//VQy3fy7TnBwsOrNObVr15YE2eyh91qi9ExMPUzX4Ro1auCJJ55QDLKZ5gsLCxPPhaysLOzcuVNyLTf9Xb9+fcVApy2u+o5jWm7Dhg0xbtw4JCYmikE2tfZabXlqZa1duzYSEhJQtWpVvPnmm2IbZjAYxM9Vq1YN//d//4d3333X5o1Ppcn58+cxePBg5OTkICAgAJMnTxaH0iQi7+ZVQyh5yJgxYzBmzBjk5eU55XEGRKUBg/BERM7HIJuD1IJsJgEBju9m0w99c1qDbJYdTZbBktDQUNXluYO/v79T9hMA8dlgpu3x9/e3mkfuWTTmwUfzzjDL/WI0Gh0OstlzJ52eDmul9TrCV4NspuPbxFNBNrXnQAH3jkl7zgEt+8RW56La83SKi4tVP6v2XCfzcy8gIMAqsKD1y7vcc8zsoVYHlseJOXuDbHrLrTa/+XtyZS1Xrhzu3r2LoqIim8eaJbUgmxLzujUdu+brtZXJZrk+LeeH3LpN2600r+VrpWPONI8rroNyN204GmSz/LxSue157prWzzjyTDcTo9Gouhy5tiswMFD2XDG/Rtnav2rnu1Z6zzOtdabG9D0lICBAdb+Z9oX5PKa/5YJsjjyjz9VBNlO5zK+P9tSfreugaT3m+6GoqAhBQUFiXZvKoHatdtZ3DG8SEBCAWbNmITExETk5OWjRogW6deuG8uXLe7poREREZCcG4YmInMs5PZelnNoPZtN7lh13ch0bjpDrzLE3k80yWGLqYPdkkM0UGHMGg8EgWZZcZ5zcusz3i1oHuqNBNr2ZcOaf07MeR+vT8ri3NZyl2medxZeDbLbKq6eTUynT0t4gm2kYOXs+q1Zm83PP1nCRauTOYXvqUW07XBFk03sHoFIdWC5LKchmKoszM9mUWNat5XFgNBptXjv1nM9Kbbrc8I7eFmQzpxRk03s8W87vq0G2kpISu4JscueK+TVKb5DNGe2JrWU4M8hm63pRGoNs5uVzZ5DNVlmUym3O1wNvsbGxSExMBHAvi7lSpUq4fv26ZwtFRERERETkRRhk08nyh7LpteV087tc7e24UBuyUGma3HTLIJtlsMYbgmzOzGQzGAySZWnNZDPveDIPalrul+LiYl13sFvOa0+miVw5bL1vzzrUeEMmm1q9KNHTmaqnI8yTQTal4IRam6B2PKit25Egm2W2k72ZbGrBJz3szeazVZ9K+9ZVmWxyZTUFm2xlHspxRiab5XFQUlKiK5NNT5DNMpNNbV7L17aCbHraTUcCM0o3TWhdptaAjT3XVV8IssmdK+bz2bopRe1810rveaY0XKSe48h0fNq6XpjWJRdkMz/GTdd1W5lxajwRZLOn/rRcBy3X46wgmy2OBuG2bNmCHj16IC4uDgaDAatWrbKaZ+7cuahVqxaCg4ORlJQkDpGr1969e2E0GlG9enWHykxERETkqwICApCYmIjExESnPPKGiEoHDhfpIKVORGdnsjkzyGbJG4aL9PPzE4NjjgaHXJ3JpjdTxNHPKy0HkB5/rh4uUk8mm6vYk8lm2Rnn6DBtWtZvT5BNTyen3iCbliEflTrjnZnJZsndw0W6KsjmrEw2te00X5ZakE0QBJttviVTm2tvJpvcsatluEg9QXPz41NvJpv5Z5XqxDSPnn1gT1tiK8hm77o9kcnmjBtjjEaj6nL0BNnM2QpaeCLI5oxMNhOtwwvb+i5qnhlnb326OshmKperM9nkhoJ0V5DNUbdv30bz5s3x1FNPSZ6dabJixQq8/PLLmDt3Lh588EHMnz8fXbt2xbFjx1CjRg0AQFJSkuy1Y/369YiLiwMAXLt2DUOGDMEXX3zh2g0iIiIi8mIVK1ZERkaGp4tBRF6GQTYHaXkmm6uGi1QKRllO1xpkc3bmkx6mDrPAwECHy2E59KRcZ5xcZ5J5EEktS8XRIJs9mSZy5bCcJldOZ/KGTDYt2UOWLDtTnTVsk9r69QzvaqInk02p3pXKpCVQppbJpratah2ztoJsWoNn7shkU+u0tXXuKS1Xb3DQkeEig4ODxb/1nqum8utpe20NF1lSUqLrOZL2Dhdpvt0mlsekreuB+Tx62k17AmX2BDTlWO5bpbJ4+3CRtp7JJpc5HhAQ4HCb4IlnslnWkSPfdbReL8zPBbm22hnDRbrqu6N51p75/4B99af1+aJ+fn7w8/OD0Wi0Ol+1BNk88V26a9eu6Nq1q+L7M2fOxIgRI8Q7rWfNmoV169Zh3rx5mDFjBgBg3759qusoKChAnz598Prrr6NNmzY25zX/7ZGXl6d1U4iIiIiIiHwSh4vUwLxz0/IueFcG2dSylJSmyU2/e/euajm8IZPN1GHmjE47y0w2rcNFKgXZHA2SuTKTTa6cznq2kOWxLveMF62fdRZ7Mtn0DBepp9x6M9lsdbw5a7hIue3Tcge/Uqe11o5JOZZDClpyJJNNT12Z9olaHch12po+Z28mmzOHizS/HqhlsgH2B9mcOVykrUw2g8GgK2juruEi3ZXJprS9Wo9rreu255qqNaPJHUE2ezPZbLE83+25ZlmWy9YylDLZ7Fm31uuFnkw2vcsz8cRwkXLnvZblab2WWbYHagE/pXKbs1XHrvrOBACFhYXYt28funTpIpnepUsXbN++XdMyBEHAsGHD0LFjRwwePNjm/DNmzEBERIT4j0NLEhERkbu4YxjtvLw8JCUloW3btti8ebOTSk5Evo5BNg20PMPJ8gey+Q9wZwzB44zhIpXu/PWGZ7KZOsycMfxUWRouUq6czgqaWh73ps44LXeQOytbzJKrg2z2lkXLe2rzGwwGXc8lNF+WKYhumq6URWerc1EpyFZQUKDaoa91uEi55TsSZLPn+Xl6M9nUso5cMVykWnaOeRZMUFCQ1fvmnc56h3a1J8hmmclmeewajUab104957Mjw0V6Y5BN7uYNPbQe/6X1mWzOzmRz5Pl6WpfhzOEitQ4vbCvIpjeTTa6ddFeQzdFnHTsSZLMcutLWEKeWXPWdSIurV6+ipKQE0dHRkunR0dG4dOmSpmVs27YNK1aswKpVq8Tnjxw+fFhx/tdffx03b94U/50/f96hbSAiIiLSyjSM9qeffir7vmkY7UmTJuHAgQN46KGH0LVrV2RnZ4vzJCUloUmTJlb/Lly4AADIysrCvn378Nlnn2HIkCGqWfsFBQXIy8uT/COi0onDRTrI9MPZ8ge0o50BgGuCbDdv3rSa3xWZbHo7FJydyWa+/7VmspkH2dSGgrM1fJ4luWEc7RlOSE+Q7ebNm04fssi0f5SOI3fQ8wwnE18Ismm5O15pWZbBYaUgm9rxoJYZYitgozWTzZFsNEc71IuLixEUFGRXkC0wMNBmfSrtW73ZNmr7wzzIJrfPzQNv3pDJVlJSYjMIpSfIZr5vXJnJZhrmUsuxac9wkUr7Wu/1V2uAz94sKWfOp8beIJujmWzOeCabo8NFOvKdy1mZbKa2QmvQTu7674lMNnuDbLaug5Z/W56v3jpcpBZyI3FobR/atm2r66aCcuXK2ZVtSEREROQodwyjbXpebZMmTZCQkICTJ08iOTlZdt4ZM2Zg2rRp9mwKEfmYMpfJ5uwhWZR+dDpjuEh3ZbK5Isimt5PB/JlsjvLz87PZue/KTDbLY8xdmWyWmWZ6Oq210JPJ5ir2ZLJZdvTozT5R2k/OzmQD7AuyWQ5zqrRuezPZbAVsHMlk09pRrudYNc1r/hl7M9nUPqflWHRnkM08E9ITmWx6h4u0XJ/cupWOLVvPZFMLstl6Jhug/frlzEw2VwXZ7GG5/2wFJh3hLcNF2sPWcWK+3+SCzt4QZNM7XKQnMtlM7ZozgmyOZrLZO1ykJ1WpUgX+/v5WWWs5OTlW2W1EREREpZkzhtHOzc0V+1j//PNPHDt2DLVr11acnxn+RGVHmctkczSLxfLzrnwmm71BNvOHjZu/Vrpz2xXDRepdlrMz2Wx17rsyyGZ5TLgryGYqv9b61HsuWC7fE+wJslnWtZbhX7XM78wgm2kdzshkszfIptRp7UiQzVmZbPY8f8283rQEkeSOa0eDbHoD2VqDbHJtmr+/PwIDA1FcXOw1mWy22hhb+zAgIEB2uisz2Uxl0XIuuiKTTWu77Mrh5yy3XUtg0l6eGi7SHdcxyzZIKZPNnrp0diab1uWptZPOphbYsqf+PRFk05ot5sqgeVBQEJKSkpCWloY+ffqI09PS0tCrVy+XrZeIiIjI2zhjGO3MzEyMHj0afn5+MBgMmD17NipVqqQ4PzP8icqOMhdkc5RlJ4krg2zmd0nL3TGtdBe1+TOazF8rdSqZ7kx25hA3ejtdnJnJZnq+leWyzck9T8MyI8hEbrhHPdtnOW9xcbFdnVK2jgFT+V31jD1vC7JpPV4t69pZndNq61castEWrce/+fIthzmVW4+tY86RIJtaRomznslmi1ydmrfVjgbZbJ177shks3W8+/n5ITAwEHfu3NEdZDMtW881wHzb5Iaa05LJZmsfKj33yNYz2Sw/Z/5aaR+bz6O17bSnY1zpOX96r7/uzGRTOo6d8QxVo9Goupzi4mKrfRMQEOAVmWx6FBcXW9WZI9+55J6DKMd8Hrn5zYNsWpYn1066anhE03L1Dqestjy1c1tuX1mer3qDbEajUVNA0NF9mJ+fjz/++EN8ffbsWWRkZKBSpUqoUaMGxo4di8GDByM5ORkpKSlYsGABsrOz8cwzzzi0XiIiXzBnzhzMmTPHrpujiKh0cmQY7TZt2qg+m1YJ2yKi0o9BNp0sf6CbOnctG2TzH+D2dkTZm8lmOVRYYWEhAOVOJW/IZDN1mDmj084yk03rcJFKQTZHg2TeOlykXubPZPMUV2ey6Qn66M1k09KJpvX41ztcZGFhoeqXuYCAAMWOQL1DD5qzdR46K8hmK6ipFiwzccVwka7KZFP6rOlYd0cmm+VwkZbHrt7hIuXqRstwka7KZNPCnkCXadhApawmrceMK4NslnWp1DZ4crhIRzPZ5IYZdaWioiLF4SLtaQe1PkOtNAwXaSqXo98PHclkM7VPpjKolcXy2mB5rMp14ji6D/fu3YsOHTqIr8eOHQsAGDp0KBYtWoR+/frh2rVreOutt3Dx4kU0adIEa9euRc2aNR1ary3sTCIibzBmzBiMGTMGeXl5iIiI8HRxiMiDPDmMNtsiotKvzD2TzVGWP4RNnSaWnSeeHC5SqYNVqVPJG57J5m3DRaplWJSUlOjaV3KZcPbctax1uEhXZCYCnn8mW0lJic3MF7kAmlyGjTM4c7hIR57JZjlcpFy92wqUqWWyORJkc9ZwkbbYyjRTyh4yJ3dcFxcXKw57qCWr0lXPZJMjCIJbn8nmjuEig4KCbK7bWUE2f39/8T2tbae9HceW2eaA/utvWR8u0tFMNmeU3Ratw0Xaw9nDRWoN2nkyyKblPLa1PLVz21nDRdr6nmJvprua1NRUCIJg9W/RokXiPM899xyysrJQUFCAffv2oV27dg6tU4sxY8bg2LFj2LNnj8vXRURERGSL+TDa5tLS0tCmTRuXrnvOnDlISEhAy5YtXboeIvKcMpfJ5minrlImm2XHvfldrt4SZDN1ylh+zhVBNr3L0htkUOPn52ezc9+RZ7IB6p3Ytu5QdlUmm2WQTRAElJSUSPaFeaef3nPB00E2y/2mtfNKTyabHKX95Mwgm4k9QTYtmWxagmxKmSG2sqLUjiNbwW5HO8pNzLfZVB65Y0VvkE3tXNWSyeas7QNsB3TMM4LcEWSzzGSzZ7hIW/tQSyab3M0jakE2tToJDAxEYWGhSzPZAPlzSu81wZ3DRXpjJpuj55YzsuZtsQy2KGWy2cNZQTZfyGQz1ZWjx5sjmWz2Dhep9F3A8vOu2odEREREZY23DqPNTDai0q/MBdkcIddpaOqwt+wA9cZMNltBtuLiYl1jEavxZJDN3kw2pbuP5bZFz3Bs7gqymY5B804wy6GK9KxX6fkxrg6yKQXBtATZtHTUOysDxBVBNq0dx0pZVErHlq3MHH9/f8V1O5IR6a7hIm3tby1BJKVnsjkSZHPncJHmGUHuGC7SMpPNMmjhjEw2peuBKzLZTPPpCbLZm8nmjCBbWc9kc3S4SFddF8xZHt/emMlm/twzbw2ymcrljJvk3BFks1ynvdOIiIiISD9vHUabiEq/UhlkMxqNip1CjnSkqA1PZ89wkbYCWo4G2QwGg2R7lTpRzDuXi4uLndJxZm+HgbOCbPZksplzJMhmeYy5K8hmYl6fRUVFkkwP8/n1dIArLd8VlDI03BFkk3tPLeinRG8nmt52SS3wY++5Z29miNZn3DnaKa5GLtisN8gmF6xxdyab2vXAVrDTPCPIE89ksyy7t2ay2QqyKZVFjisy2Wy1BaYbZeTW7efn55QMN3cG2TyVyWbZHjl7eGXA+vhWymSz53ups4JsepfnySCbOXv2GYNsRERERKWfaRhtNc899xyee+45N5XoHj6rlqj0K5VBtqKiItkOUz3kGj65ThhHMtlKSkpUhyySe6aQrfIA/xv+p1y5cpJnvyh1oph3mpSWIJutDBo9QTa5/exIJltxcbFd+0frMWAZZFMri971WS7fFZS+dFjuN63PNXFVxoJap6wrnrmiZd22ji3LwLs5Zw5tqHX5zvqCaSugpiWIJNcWFxUpP8PH1nN3AOcNTQq4NpPNtC16Ag3mQYqAgACrbS0pKbEZ8LHch5bbr3R91JvJZr4ctX1sms8TmWxa9325cuUUg2zlypVz6BmKJlqDbM4YclHL9yDLfeOMTDbL48DVQTbT8x3l1mlPYFRroFFPkE1Lfcpd/12x78yX66zn59m6Pppvv+lvy+d5msqi9diXq2M93+eJqOwQBAHp6elYsmQJcnJyEBUVhUGDBiE1NdVpIz8QEXkK2zgOF0nkDVzdFpXKIFtxcbHDQTatneSmH85qmWxKP8aLi4tVf6jbm8mmFGQLCAiQXZ9lUMYZQRR7Owyc0Wlnmclmz3psdaDr6ci03BdqHfdq7Mlks1yPnvUqHV+uHi5SLZPNVr3IbZ9lXat1aOrpNNebyWYqW1BQEAoLCzWvR8+6bR1bpuHw5Lgy0wyQ76h3Vsei3A0JatPk6kBpKDUtmWxK26G389xZQTZPPJPNktFo1JUtK3eDh1I7bb6f5K71lp/Tm8mm9bi0N2tMrn5M+8LWF7ugoCAA8gHcoKAgpwTZLM9Vb3smW0BAgNNvCnBFJpHl9Uopy92edQcEBGj6ESAXOJKjJZPNYDCIx585T2Sy2bs8W9dHy79NZTB9zrQPtf4AU7vpQ24+IiqbcnNz0bdvX6Snp0umf/nll0hNTcXKlSsRGRnpmcIRETmIbRwReQN3tEWuTV3Qae7cuahVqxaCg4ORlJSErVu32rUcW5kcJmodgFp/BCsNF2nemaHUQWDrR7Wjw0Vadj5qyWRz1g99T2ay+fn52eyAc3S4SD0dme4eLtL8jnS1TDZbnfbeGGRz9XCRcp9X6kyzd7hIuf2n944Je4eLVDvuXR1kk1u+pzLZ5OpAbt84OlykM4eCsLUso9EonvfeEmRzdLhIuQ59S3qfyaZ2bXDXcJFqQTZbTPtEbt1yQ2faw7I9UmobnHGnl6eGi5Rbj7NpHS7SnnVr/a6kNZMtICDA5jKVvkO6OsgmFxy059hz5nCRetZp/r/l32rTiKhsEARB7PAJCQnB6NGjsWDBAowePRohISFIT09H3759XfosViIiV2EbR0TewF1tkdcE2VasWIGXX34ZkyZNwoEDB/DQQw+ha9euyM7O1r0sZwz1pDfIZs9wkd4SZCtXrpzYYVEagmyWw0Xasx5b+15tODZbQzS6I8im1FmsJTBg630tQTZHngukdF56Kshmz7x6g2x6uSLIZm+ntdbOTm8aLtJbg2yOZLK5+5ls5oEXuWeylZSU6MpkkwtCaLke6A2yOfOZbM4cLtK0Tlttp2l7lYaLdAWltsEZQTbzDEw5SkE2Z98U4I4gm+Xx4k1BNi2ZbJ4Ksjkzk81ZQTZmsmkzZ84cJCQkoGXLlp4uCpHXSk9PFzt8duzYgc8++wyjRo3CZ599hh07dogdP5s3b/Z0UYmIdGMb9z/8XkTkOe5qi7xmuMiZM2dixIgRGDlyJABg1qxZWLduHebNm4cZM2ZYzV9QUICCggLxdV5envj3k08+qXhHt/lnevfurdhRYz7fpUuX0KtXL9m7z8eOHYuKFSvi1KlTkulaOjYGDhyo2il26NAh8e+PPvoI3333neT9K1euyH7u8OHDAKzvalfqIDEYDOIwckOGDHHKcJEHDhyw63POCrLZ6oCztZ6FCxdi27ZtAICMjAyr983rxtLp06fRq1cv8fWJEyck73/77bd2BVoWL16MPXv2SKZduHDBaj5TPd+5cwcjR45E+fLlxfdu374t/n3q1ClJOS3JbTegLUiUlZWlumw1Sp1No0ePxpEjR8TXW7ZssVpHfn6+1ecs63rixImoXLmy7Dos6woA/vrrL9ltOX78uOwygHt1vHfvXsk0U9mdEWT74IMPZKdnZGTgzJkzip/ztkw2R4aLzM3NFevl5s2b4vRDhw6hV69eknNl8uTJ+OSTT7Bz504A2oNsb7zxhmJ7mJ+fL65fqT3Qu31qHbe2lmUeZFNrn+TcuXMHvXr1srqOqbGVyXbw4EH88ccfip+/dOmSZJtyc3Otzl8t1wO5a72jQbYJEyYothHmzL936PHWW29ZTfvpp5+QnZ2Nc+fOqX7WlMl28uRJq/eclclmyZVtg61MtlWrVuHGjRuSaa7IZDt48KDd1ywT03lksmvXLvHvcePGWZV548aN6NWrF44dO6Z7Xd4UZDt8+LDD+06O6XrsrCDbwYMHcfbsWcX35fbV7Nmz8d///ldsU/WW5cUXX0TFihUldfzss88iPDxcMp/l94XSgs8eIbJtyZIlAIAhQ4agefPmkveaN2+OwYMHY8GCBfj222+RmprqgRISEdmPbdz/8HsRkee4qy3yiiBbYWEh9u3bh9dee00yvUuXLti+fbvsZ2bMmIFp06bJvrd+/XpN612zZo2m+e7cuYPVq1fLvrdlyxbZ6RUqVBD/rlq1quw869at07R+4F7nuVLQw5KpQ+r++++XdJrGxsYiLi5OEkgwNe5xcXHIyspCWlqa5jK5QlxcnOR1VFQUcnNzdd3lGx0djcTERKxfv16xozQwMBDh4eG4deuW7PvHjx9XDaJYdvqZy8/PVzxeAPnOUS1Onjyp6bOmes7Ly8OGDRsU57t165ZqOZVUq1bN5jy3b9+2a9lqNm3aJHl96dIlm+swGAyIjo5GlSpVcPXqVQAQg6da/f3337q3Ra2ukpKSrIIP3bp107X8/fv3y06/fv06rl+/rvi52NhYxeB8y5YtsWPHDsTGxiIoKMhmZ79JSkqKpvkaN26M1NRUyfjHNWrU0PRZJXL1kpubazXdFFwzkauD8uXLo0KFCpLAieXnAKBKlSrIy8tDYWGhzeNCy7li7r777pOd3qlTJ3Tr1g2LFi0SO2fr168vOcZat24tll2tfZIjCILstgwcOFDxM9HR0eLfsbGxaNasGX799Vdxmq1j0fKmleLiYknQrXz58hgwYAA2b96MmjVrSuatXr26+HetWrWslh0bGyt5bX5dMS+3pbi4OBw/flx3G6HXvn37rKadO3dO0znXokULnDp1ShJYNqlbt65Vu/Pwww/bXOaIESPw5ZdfWk1PSUnBjh078NRTT8l+Tum7jS1dunRBYWEh0tPTMWLECNXAhVxQJDY2FjExMarr6NmzJ9avXy95Lq1Jq1atULt2bcm069evO+WapbQMuWPqwoULdq0zMDBQ/G4THx+PrKwsxXnNz4WoqCj4+fnJZkHGxsZaBX7k5rH8jgbIt7nOZHk+A0Dbtm3RqFEjZGZmIjIyErm5uWjVqhWioqLw008/yS5Hy/XRxLSdhw4dkty0YJqnfv36msou9xvB8rsMEZVtOTk5AO59N5Vjmm6aj4jIl7CNIyJv4K62yCuCbFevXkVJSYlV51d0dDQuXbok+5nXX38dY8eOFV/n5eWhevXq+Pe//20zE8toNGq+C1oQBKs73xs2bIiTJ09CEATJcFim5bZo0UKSKVG5cmXs2LEDhw8fhsFg0LV+W/PWrFkTRUVFCAwMREhICE6cOAFBEFCxYkV0794dQ4cOxYULFxAWFoaePXti8ODBWLdunThsUbt27QDcC/gpBQztZdo//v7+YqeOafv9/f0RGhqKqKgoxMfHi5+ZNm0akpKSEBERgYCAALRu3RonT57E4cOHUVJSgoCAABiNRlSqVAmhoaH466+/YDQaxTqqVq0a2rdvjwceeACJiYlITk6WLZvBYMDOnTuxfft2tG3bFufOncP58+fF+rSs88jISISFhSEsLAyZmZkA7tVrYGAgLl26JB4nSvUVFxeHO3fu4Pr16+Kyg4KCULNmTZw6dQoNGzbEqVOnEBgYiNTUVGzZskXM6jDNr5aBYVpvpUqV0KNHD7Rt21a1I0frMWg0GhEfH48bN24gLy8PUVFR6NatG44dO4ZLly7hwoULaN26NY4ePYrQ0FBcuXIFt27dckqWgfk+9ff3F+smOjoaRqNRMVhkvn0NGzZEXFwcjh07hp9//hlGo9HmEHbm+8bWfgoLC0PlypVx/vx5NGjQAHfu3MHVq1dlM+qAe8GBdu3aoU+fPsjPz0eDBg2QlZWFrl27ivNkZ2cjMzMTN2/exM2bN8UymM4h8/KY3qtSpQoCAgLE9tK076pXr44aNWpg27ZtMBgM6NixI4xGIzZt2oTk5GTk5eWJ59/06dPRqlUrtGrVCn5+fti+fTvi4uJw+vRp+Pv7o2PHjtizZw+uX78ulqdhw4aK55jJqVOncPXqVdSuXRvLly9HWloa4uPjUa5cOZsd5ebOnTuH9evXy+4H4N75UVJSIrt/zEVHR+Phhx/GE088geLiYlSqVAn169dHYGAgtm7dit27d8t+LjU1FadPn0ZycjLOnDmDgwcPSt6vWLEiHnjgAZw8eRL33Xcf8vPzUaVKFc3bBwCVKlXCvn37EBISggoVKuDo0aMoLi5Gu3btUL58eaSlpaFp06YAgB07dmD16tUoLCxE+fLl0aNHDxQWFuLRRx9FUVERQkJCEBsbi7y8PAQEBODChQswGAziMXf37l0kJCQgJCREknkcGhqKdu3a4ciRI+jcubNiWatXr44tW7YgLy8PqampaNWqFRITE5GUlITTp0/jr7/+AvC/YzEuLg53797F9evXJfu3SZMmMBgMYga2af6UlBQ0atQI8fHxVsfYqFGjEB0djQYNGqBJkyZYs2YNLly4AKPRiMqVK6NHjx6S+Vu1aoVffvkFOTk5Vu+ZW7x4MX799Vddw92aH3eCICAiIgIREREoLCxEQEAAQkNDcerUKURFRaFx48ZIT08Xt7FBgwY4efIkiouLrY5b87oqLCyE0WhEREQEevbsieHDh4tDaZv2ZUBAALp164YLFy7gjz/+QMuWLfHHH3+gY8eONrfh008/Rd++fVGuXDnJ9fiXX37B9u3bFY+DChUqYP/+/QgMDESlSpVw+PBh5Ofno1atWsjPzxe/JzVr1gzAvSzlrKwsPPLIIwgODsbvv/+OTp06wc/PD0eOHMG2bdtQtWpV8bmit27dEoOJMTExKCoqQkFBAXr27Ing4GCsXr0aly9fRt26dXH+/HkUFxejU6dOOHLkCNq3b49bt25hzZo1qFGjBoqKitC0aVOkp6ejU6dOiI2Nxe7du5GRkSFeY7Qyfbcx1Znla3OWbYmpHT548KB44wdwb9jMxo0bi+djhw4dcPToUVy+fBnAvYCmqY1v1qwZKlasCOBeNpx5Wx0bG4v69etj8+bN4vFiEhMTg61bt+LYsWOIjY1FQUEBrl+/jsqVK6N79+7i+ZObmws/Pz80aNAAJ06cEI/vjh074r777kN4eDiuXbsm1pXS93RnqFmzpuROw+zsbJw5cwYpKSnYtm0bdu3ahQ4dOmDjxo1o06YNioqKsHbtWty9exehoaGIi4tDtWrVcPbsWfz5558A7rXV5cuXx+XLl9GpUyds374dgYGBkrZh+vTpaN26tWRUi4oVK4r7c+zYsahbty7y8vLQsWNH8TsRANnvLQBkp5nbsWMHmjZtildeecV5O5CIvF5UVBSAezfgjBo1yup90405pvmIiHwJ2zgi8gbuaosMghc8YfLChQuoVq0atm/fLsmKmD59OhYvXqyaUWRiSrm9efOmJIuMiIiIiIjIm5XW3zKldbuInGHTpk3o2LGj+IwQ8xsLDh48iJSUFNy5cwebNm1y21BqpfWcLa3bReTNHGnjSts5O2fOHMyZMwclJSU4efJkqdkuIl/grrbIKzLZqlSpAn9/f6u7YXNyclSHdiIiIiIiIiIi8jWpqanicOopKSkYPHgwkpKSsG/fPixevBh37txBamoq2rdv7+miEhHpxjbuf/hMNiLPcVdb5BVBtqCgICQlJSEtLQ19+vQRp6elpbnkYepERERERERERJ5iMBiwcuVK9O3bF+np6ViwYIHk/dTUVKxcuVL1sQFERN6KbRwReQN3tUVeEWQD7j3fYPDgwUhOTkZKSgoWLFiA7OxsPPPMM54uGhERERERERGRU0VGRmLjxo3YvHkzvv32W+Tk5CAqKgpPPvkk2rdvz85nIvJpbOOIyBu4oy3ymiBbv379cO3aNbz11lu4ePEimjRpgrVr16JmzZqeLhoRERERERERkdMZDAZxKCMiotKGbZz0mWxE5Bmubov8XLJUOz333HPIyspCQUEB9u3bh3bt2nm6SERERERERKTDnDlzkJCQgJYtW3q6KEREREQeNWbMGBw7dgx79uzxdFGIyEW8KshGREREREREvo2dSUREREREVFYwyEZERERERERERERERESkk9c8k81RgiAAAPLy8jxcEiIiIiIiIu1Mv2FMv2lKC/5GI/ItbIuIyBuwLSIib6CnLSo1QbZr164BAKpXr+7hkhAREREREel369YtREREeLoYTnPr1i0A/I1G5GvYFhGRN2BbRETeQEtbZBBKyW0BN27cQGRkJLKzs0tVA1yW5OXloXr16jh//jwqVKjg6eKQTqw/38c69H2sQ9/HOvR9rEPf54k6FAQBt27dQlxcHPz8Ss+I/kajERcuXEB4eDgMBgMAoGXLllbPavPF80ZuO7x1HfYuR8/ntMzr6DxK7/na8ePNx05ZaIseeOABxX3ja8eSHu447jyxfl9qJ/XM72h76evHclloi+S+F5n+dmX92XOsu+L6rWWa0mtv2j+u+m6jd/+Y/+2q/VMWjx09bVGpyWQzbWhERIRPXkDofypUqMA69GGsP9/HOvR9rEPfxzr0faxD3+fuOiyNNwr6+fnhvvvuk0zz9/dX3K++dN6obYe3rcPe5ej5nJZ5HZ3H1ud95fjx9mOntLdFWvaNrxxLerjjuPPE+n2pndQzv7PaVF8+lkt7W2RiXo+WdeqK+rPnWHfF9VvLNFuvvWH/uOq7jd79Ize/s/dPWT12tLZFped2ACIiIiIiIvJqY8aM8XQRnMId2+Gsddi7HD2f0zKvo/Pw2PGudfiqsrpvPL3drlq/L7WTeuZ3VptK3s+8Hr31+uCK67eWabZeu4Irzml7vtvo3T/euG+0fqa0HDulZrjIvLw8RERE4ObNmz57l0ZZxzr0baw/38c69H2sQ9/HOvR9rEPfxzp0P+5zcgSPH3IWHktUWvBY9m2sP3XcP+q4f5S5ct+Umky2cuXKYcqUKShXrpyni0J2Yh36Ntaf72Md+j7Woe9jHfo+1qHvYx26H/c5OYLHDzkLjyUqLXgs+zbWnzruH3XcP8pcuW9KTSYbERERERERERERERERkbuUmkw2IiIiIiIiIiIiIiIiIndhkI2IiIiIiIiIiIiIiIhIJwbZiIiIiIiIiIiIiIiIiHRikI2IiIiIiIiIiIiIiIhIJwbZiIiIiIiIiIiIiIiIiHQqFUG2uXPnolatWggODkZSUhK2bt3q6SIRgBkzZqBly5YIDw9HVFQUevfujRMnTkjmGTZsGAwGg+Rf69atJfMUFBTghRdeQJUqVVC+fHn07NkTf/75pzs3pcyaOnWqVf3ExMSI7wuCgKlTpyIuLg4hISFITU3F0aNHJctg/XlWfHy8VR0aDAaMGTMGAM9Bb7Rlyxb06NEDcXFxMBgMWLVqleR9Z513ubm5GDx4MCIiIhAREYHBgwfjxo0bLt66skGtDouKijBx4kQ0bdoU5cuXR1xcHIYMGYILFy5IlpGammp1bvbv318yD+vQdWydh85qO1mHrmOrDuWujQaDAR988IE4D89D7/Hzzz+jQYMGqFevHr744gtPF4d8SJ8+fRAZGYl//OMfni4KlQJsi6i0YNvo29gWqePxLe/8+fNITU1FQkICmjVrhu+++87TRfIqt27dQsuWLZGYmIimTZvi888/1/V5nw+yrVixAi+//DImTZqEAwcO4KGHHkLXrl2RnZ3t6aKVeZs3b8aYMWOwc+dOpKWlobi4GF26dMHt27cl8z366KO4ePGi+G/t2rWS919++WX8+OOPWL58OX7//Xfk5+eje/fuKCkpcefmlFmNGzeW1M/hw4fF995//33MnDkTn376Kfbs2YOYmBg8/PDDuHXrljgP68+z9uzZI6m/tLQ0AMATTzwhzsNz0Lvcvn0bzZs3x6effir7vrPOu4EDByIjIwO//vorfv31V2RkZGDw4MEu376yQK0O//77b+zfvx+TJ0/G/v37sXLlSpw8eRI9e/a0mnfUqFGSc3P+/PmS91mHrmPrPASc03ayDl3HVh2a193Fixfx1VdfwWAw4PHHH5fMx/PQ84qLizF27Fhs3LgR+/fvx7/+9S9cv37d08UiH/Hiiy/im2++8XQxqBRgW0SlCdtG38W2yDYe3/ICAgIwa9YsHDt2DL/99hteeeUVqz76siw0NBSbN29GRkYGdu3ahRkzZuDatWvaFyD4uAceeEB45plnJNMaNmwovPbaax4qESnJyckRAAibN28Wpw0dOlTo1auX4mdu3LghBAYGCsuXLxen/fXXX4Kfn5/w66+/urK4JAjClClThObNm8u+ZzQahZiYGOG9994Tp929e1eIiIgQPvvsM0EQWH/e6KWXXhLq1KkjGI1GQRB4Dno7AMKPP/4ovnbWeXfs2DEBgLBz505xnh07dggAhOPHj7t4q8oWyzqUs3v3bgGAcO7cOXFa+/bthZdeeknxM6xD95GrQ2e0naxD99FyHvbq1Uvo2LGjZBrPQ++wbds2oXfv3uLrF198UVi6dKkHS0S+ZtOmTcLjjz/u6WKQj2NbRKUN20bfxLZIGx7ftjVt2lTIzs72dDG80rVr14QaNWoIV65c0fwZn85kKywsxL59+9ClSxfJ9C5dumD79u0eKhUpuXnzJgCgUqVKkunp6emIiopC/fr1MWrUKOTk5Ijv7du3D0VFRZI6jouLQ5MmTVjHbnLq1CnExcWhVq1a6N+/P86cOQMAOHv2LC5duiSpm3LlyqF9+/Zi3bD+vEthYSG+/fZbDB8+HAaDQZzOc9B3OOu827FjByIiItCqVStxntatWyMiIoL16gE3b96EwWBAxYoVJdOXLFmCKlWqoHHjxhg3bpwkW5F16HmOtp2sQ+9x+fJlrFmzBiNGjLB6j+eh42wN3QmoD/9/4cIFVKtWTXx933334a+//nJH0cnDHD12iMyxLaLSgm2jb2NbpI7HtzJn7pu9e/fCaDSievXqLi61+zhj/9y4cQPNmzfHfffdhwkTJqBKlSqa1+/TQbarV6+ipKQE0dHRkunR0dG4dOmSh0pFcgRBwNixY9G2bVs0adJEnN61a1csWbIEGzduxEcffYQ9e/agY8eOKCgoAABcunQJQUFBiIyMlCyPdewerVq1wjfffIN169bh888/x6VLl9CmTRtcu3ZN3P9q5x/rz7usWrUKN27cwLBhw8RpPAd9i7POu0uXLiEqKspq+VFRUaxXN7t79y5ee+01DBw4EBUqVBCnDxo0CMuWLUN6ejomT56MH374AX379hXfZx16ljPaTtah9/j6668RHh4uOccAnofOYmvoTlvD/wuCYPUZ85uFqPRy9NghMse2iEoLto2+jW2ROh7fypy1b65du4YhQ4ZgwYIF7ii22zhj/1SsWBEHDx7E2bNnsXTpUly+fFnz+gMc3gIvYNmYCIJQqhqY0uD555/HoUOH8Pvvv0um9+vXT/y7SZMmSE5ORs2aNbFmzRqrjg5zrGP36Nq1q/h306ZNkZKSgjp16uDrr79G69atAdh3/rH+POPLL79E165dERcXJ07jOeibnHHeyc3PenWvoqIi9O/fH0ajEXPnzpW8N2rUKPHvJk2aoF69ekhOTsb+/fvRokULAKxDT3JW28k69A5fffUVBg0ahODgYMl0nofO0bVrV8l3SkszZ87EiBEjMHLkSADArFmzsG7dOsybNw8zZsxAtWrVJHdo//nnn5LsQSq9HD12iMyxLaLSgm2jb2NbpI7HtzJn7JuCggL06dMHr7/+Otq0aeOWcruLM4+d6OhoNGvWDFu2bMETTzyhaf0+nclWpUoV+Pv7W90pmpOTY3WXP3nOCy+8gNWrV2PTpk247777VOeNjY1FzZo1cerUKQBATEwMCgsLkZubK5mPdewZ5cuXR9OmTXHq1CnExMQAgOr5x/rzHufOncNvv/0mXkyU8Bz0bs4672JiYmTvyLly5Qrr1U2Kiorwz3/+E2fPnkVaWpoki01OixYtEBgYKDk3WYfew562k3XoHbZu3YoTJ07YvD4CPA9dQcvw/w888ACOHDmCv/76C7du3cLatWvxyCOPeKK45EX46AhyJrZFVFqwbfRtbIvU8fhWpmXfCIKAYcOGoWPHjhg8eLAniukxWvbP5cuXkZeXBwDIy8vDli1b0KBBA83r8OkgW1BQEJKSkpCWliaZnpaWVuqisb5IEAQ8//zzWLlyJTZu3IhatWrZ/My1a9dw/vx5xMbGAgCSkpIQGBgoqeOLFy/iyJEjrGMPKCgoQGZmJmJjY1GrVi3ExMRI6qawsBCbN28W64b15z0WLlyIqKgoPPbYY6rz8Rz0bs4671JSUnDz5k3s3r1bnGfXrl24efMm69UNTAG2U6dO4bfffkPlypVtfubo0aMoKioSz03WoXexp+1kHXqHL7/8EklJSWjevLnNeXkeOp+W4f8DAgLw0UcfoUOHDrj//vsxfvx4Te0mlW5aHx3xyCOP4IknnsDatWtx3333Yc+ePe4uKvkAtkVUWrBt9G1si9Tx+FamZd9s27YNK1aswKpVq5CYmIjExEQcPnzYE8V1Oy37588//0S7du3QvHlztG3bFs8//zyaNWumeR0+P1zk2LFjMXjwYCQnJyMlJQULFixAdnY2nnnmGU8XrcwbM2YMli5div/+978IDw8XD9qIiAiEhIQgPz8fU6dOxeOPP47Y2FhkZWXh//7v/1ClShX06dNHnHfEiBF49dVXUblyZVSqVAnjxo1D06ZN0blzZ09uXpkwbtw49OjRAzVq1EBOTg7eeecd5OXlYejQoTAYDHj55Zfx7rvvol69eqhXrx7effddhIaGYuDAgQBYf97CaDRi4cKFGDp0KAIC/tfs8xz0Tvn5+fjjjz/E12fPnkVGRgYqVaqEGjVqOOW8a9SoER599FGMGjUK8+fPBwA8/fTT6N69u647dUieWh3GxcXhH//4B/bv34+ff/4ZJSUl4vWxUqVKCAoKwunTp7FkyRJ069YNVapUwbFjx/Dqq6/i/vvvx4MPPgiAdehqanVYqVIlp7SdrEPXstWWAvfuUPzuu+/w0UcfWX2e56F72RoGuWfPnujZs6e7i0U+wNaxs27dOncXiXwY2yIqLdg2+ja2Rep4fCtT2zdt27aF0Wj0RLG8htr+SUpKQkZGht3L9vkgW79+/XDt2jW89dZbuHjxIpo0aYK1a9eiZs2ani5amTdv3jwAQGpqqmT6woULMWzYMPj7++Pw4cP45ptvcOPGDcTGxqJDhw5YsWIFwsPDxfk//vhjBAQE4J///Cfu3LmDTp06YdGiRfD393fn5pRJf/75JwYMGICrV6+iatWqaN26NXbu3CmeXxMmTMCdO3fw3HPPITc3F61atcL69etZf17mt99+Q3Z2NoYPHy6ZznPQO+3duxcdOnQQX48dOxYAMHToUCxatMhp592SJUvw4osviunyPXv2VHxALOmjVodTp07F6tWrAQCJiYmSz23atAmpqakICgrChg0bMHv2bOTn56N69ep47LHHMGXKFNahm6jV4bx585zWdrIOXcdWWwoAy5cvhyAIGDBggNXneR66B4f/J3vx2CFn4vFEpQWPZd/G+lPH/aOM+0adO/aPQRAEwSlLIiIiIiIiIlJgMBjw448/onfv3uK0Vq1aISkpCXPnzhWnJSQkoFevXqX+AfakHY8dciYeT1Ra8Fj2baw/ddw/yrhv1Hli//h8JhsRERERERF5J1tDd3L4f1LCY4eciccTlRY8ln0b608d948y7ht1Ht8/AhEREREREZELbNq0SQBg9W/o0KHiPHPmzBFq1qwpBAUFCS1atBA2b97suQKT1+CxQ87E44lKCx7Lvo31p477Rxn3jTpP7x8OF0lERERERERERERERESkk5+nC0BERERERERERERERETkaxhkIyIiIiIiIiIiIiIiItKJQTYiIiIiIiIiIiIiIiIinRhkIyIiIiIiIiIiIiIiItKJQTYiIirT0tPTYTAYcOPGDU8XhYiIiIiIiIiIiHyIQRAEwdOFICIicpfU1FQkJiZi1qxZAIDCwkJcv34d0dHRMBgMni0cERERERERERER+YwATxeAiIjIk4KCghATE+PpYhAREREREREREZGP4XCRRERUZgwbNgybN2/G7NmzYTAYYDAYsGjRIslwkYsWLULFihXx888/o0GDBggNDcU//vEP3L59G19//TXi4+MRGRmJF154ASUlJeKyCwsLMWHCBFSrVg3ly5dHq1atkJ6e7pkNJSIiIiIiIiIiIpdjJhsREZUZs2fPxsmTJ9GkSRO89dZbAICjR49azff333/j3//+N5YvX45bt26hb9++6Nu3LypWrIi1a9fizJkzePzxx9G2bVv069cPAPDUU08hKysLy5cvR1xcHH788Uc8+uijOHz4MOrVq+fW7SQiIiIiIiIiIiLXYyYbERGVGREREQgKCkJoaChiYmIQExMDf39/q/mKioowb9483H///WjXrh3+8Y9/4Pfff8eXX36JhIQEdO/eHR06dMCmTZsAAKdPn8ayZcvw3Xff4aGHHkKdOnUwbtw4tG3bFgsXLnT3ZhIREREBAKZOnYrExERPF0OWwWDAqlWrNM8fHx8vPlOXiDzLm89fT7cVppFRiMqi1NRUvPzyy54uhu7zMD09XTLCkSu5c11KvKWeShMG2YiIiCyEhoaiTp064uvo6GjEx8cjLCxMMi0nJwcAsH//fgiCgPr16yMsLEz8t3nzZpw+fdrt5SciIiLyFkqBvosXL6Jr166al7Nnzx48/fTT4mu9nfxEpB/PX3VyAb1+/frh5MmTnikQkYetXLkSb7/9tlvX6YzzsE2bNrh48SIiIiIAlJ5guVJAzxP1VNpxuEgiIiILgYGBktcGg0F2mtFoBAAYjUb4+/tj3759Vplx5oE5IiIiIronJiZG1/xVq1Z1UUmISK/SfP4KgoCSkhIEBNjXZRoSEoKQkBAnl4rIN1SqVMnTRQCg/zwMCgrS3a55UmFhIYKCguz+vLfUU2nCTDYiIipTgoKCUFJS4tRl3n///SgpKUFOTg7q1q0r+edLX9SIiIjIM1JTU/Hiiy9iwoQJqFSpEmJiYjB16lTJPNnZ2ejVqxfCwsJQoUIF/POf/8Tly5cl87z33nuIjo5GeHg4RowYgbt371qta+HChWjUqBGCg4PRsGFDzJ07V7Vsv/76K9q2bYuKFSuicuXK6N69u1Wm/p9//on+/fujUqVKKF++PJKTk7Fr1y4sWrQI06ZNw8GDB2EwGGAwGLBo0SIA0kyWlJQUvPbaa5JlXrlyBYGBgeLw3OZ3qsfHxwMA+vTpA4PBgPj4eGRlZcHPzw979+6VLOeTTz5BzZo1IQiC6nYSlUal/fzNyclBjx49EBISglq1amHJkiWS97OysmAwGJCRkSFOu3HjBgwGA9LT0wH8L9Nj3bp1SE5ORrly5bB161acPn0avXr1QnR0NMLCwtCyZUv89ttv4nJSU1Nx7tw5vPLKK+L+AeQzYObNm4c6deogKCgIDRo0wOLFiyXvGwwGfPHFF+jTpw9CQ0NRr149rF69WnabibyZ5TCE8fHxePfddzF8+HCEh4ejRo0aWLBggeQzEydORP369REaGoratWtj8uTJKCoqksyzevVqJCcnIzg4GFWqVEHfvn3F9dk6D0+cOAGDwYDjx49Lljlz5kzEx8dDEARJxld6ejqeeuop3Lx5U1zm1KlT8dZbb6Fp06ZW25yUlIQ333xTcZ+sXbsW9evXR0hICDp06ICsrCzJ+3IZw7NmzRLbSgAYNmwYevfujRkzZiAuLg7169cHAHz77bdITk5GeHg4YmJiMHDgQHHEpaysLHTo0AEAEBkZCYPBgGHDhon7zbyecnNzMWTIEERGRiI0NBRdu3bFqVOnxPdN+3PdunVo1KgRwsLC8Oijj+LixYuK213WMMhGRERlSnx8PHbt2oWsrCxcvXpVzEZzRP369TFo0CAMGTIEK1euxNmzZ7Fnzx7861//wtq1a51QaiIiIirtvv76a5QvXx67du3C+++/j7feegtpaWkA7mVW9O7dG9evX8fmzZuRlpaG06dPo1+/fuLn//Of/2DKlCmYPn069u7di9jYWKsA2ueff45JkyZh+vTpyMzMxLvvvovJkyfj66+/VizX7du3MXbsWOzZswcbNmyAn58f+vTpI36Hys/PR/v27XHhwgWsXr0aBw8exIQJE2A0GtGvXz+8+uqraNy4MS5evIiLFy9KymwyaNAgLFu2TNKRvmLFCkRHR6N9+/ZW8+/ZswfAvYDhxYsXsWfPHsTHx6Nz585Wz8NduHAhhg0bJna8EZUlpf38HTZsGLKysrBx40Z8//33mDt3rtjBrNeECRMwY8YMZGZmolmzZsjPz0e3bt3w22+/4cCBA3jkkUfQo0cPZGdnA7g33Np9992Ht956S9w/cn788Ue89NJLePXVV3HkyBGMHj0aTz31lBiANJk2bRr++c9/4tChQ+jWrRsGDRqE69ev27UtRN7ko48+QnJyMg4cOIDnnnsOzz77rCTgFR4ejkWLFuHYsWOYPXs2Pv/8c3z88cfi+2vWrEHfvn3x2GOP4cCBA9iwYQOSk5MBaDsPGzRogKSkJKsg/NKlSzFw4ECr9qVNmzaYNWsWKlSoIC5z3LhxGD58OI4dOya2YQBw6NAhHDhwQAxeWTp//jz69u2Lbt26ISMjAyNHjrS6KUGrDRs2IDMzE2lpafj5558B3Mtoe/vtt3Hw4EGsWrUKZ8+eFctSvXp1/PDDDwDuBRovXryI2bNnyy572LBh2Lt3L1avXo0dO3ZAEAR069ZNEuz8+++/8eGHH2Lx4sXYsmULsrOzMW7cOLu2pVQSiIiIypATJ04IrVu3FkJCQgQAwsKFCwUAQm5uriAIgrBw4UIhIiJC8pkpU6YIzZs3l0wbOnSo0KtXL/F1YWGh8Oabbwrx8fFCYGCgEBMTI/Tp00c4dOiQazeIiIiIfF779u2Ftm3bSqa1bNlSmDhxoiAIgrB+/XrB399fyM7OFt8/evSoAEDYvXu3IAiCkJKSIjzzzDOSZbRq1UryHaZ69erC0qVLJfO8/fbbQkpKiuay5uTkCACEw4cPC4IgCPPnzxfCw8OFa9euyc4v9z1KEAQBgPDjjz+KywwICBC2bNkivp+SkiKMHz9efF2zZk3h448/lv28yYoVK4TIyEjh7t27giAIQkZGhmAwGISzZ89q3j6i0qw0nb8nTpwQAAg7d+4Up2VmZgoAxHWdPXtWACAcOHBAnCc3N1cAIGzatEkQBEHYtGmTAEBYtWqV7HrMJSQkCJ988onidgmC9e/JNm3aCKNGjZLM88QTTwjdunUTXwMQ3njjDfF1fn6+YDAYhF9++cVmmYi8Sfv27YWXXnpJfF2zZk3hySefFF8bjUYhKipKmDdvnuIy3n//fSEpKUl8nZKSIgwaNEhxfi3n4cyZM4XatWuLr03tx9GjRwVB+F87oNYvJAiC0LVrV+HZZ58VX7/88stCamqqYtlef/11oVGjRoLRaBSnTZw4UbIuuXb2448/FmrWrCm+Hjp0qBAdHS0UFBQorksQBGH37t0CAOHWrVuy22ViXk8nT54UAAjbtm0T37969aoQEhIi/Oc//xEEQRD7zf744w9xnjlz5gjR0dGq5SlLmMlGRERlSv369bFjxw78/fffEAQBw4YNgyAI4lACw4YNs3oo7NSpUyVDjAD30uXNH9YdGBiIadOm4ezZsygsLMTFixexcuVK2eEEiIiIiCw1a9ZM8jo2NlbMyMjMzET16tVRvXp18f2EhARUrFgRmZmZ4jwpKSmSZZi/vnLlCs6fP48RI0YgLCxM/PfOO+9YDR9n7vTp0xg4cCBq166NChUqoFatWgAgZnNkZGTg/vvvd+j5HlWrVsXDDz8s3mV+9uxZ7NixA4MGDdK1nN69eyMgIAA//vgjAOCrr75Chw4dJEMuEZUlpfn8zczMREBAgJjRAgANGza0GqpRK/PlAPeyACdMmCC2tWFhYTh+/Li477TKzMzEgw8+KJn24IMPim23ifk1oHz58ggPD7c7K4/Im5gf2waDATExMZJj+/vvv0fbtm0RExODsLAwTJ48WXKeZWRkoFOnTg6VoX///jh37hx27twJAFiyZAkSExORkJCgazmjRo3CsmXLcPfuXRQVFWHJkiUYPny44vyZmZlo3bq1JFvO8ruaVk2bNrV6DtuBAwfQq1cv1KxZE+Hh4UhNTQUAXe2UqS1t1aqVOK1y5cpo0KCBpJ0KDQ1FnTp1xNfm31OJw0USEREREREReVxgYKDktcFgEId0EwRBdrg0pelyTMv6/PPPkZGRIf47cuSI2Okkp0ePHrh27Ro+//xz7Nq1C7t27QJwb4giAAgJCdG0flsGDRqE77//HkVFRVi6dCkaN26M5s2b61pGUFAQBg8ejIULF6KwsBBLly5V7fwiKu1K8/kr/P/hKdXaQD8/P8m8AKye9WRSvnx5yevx48fjhx9+wPTp07F161ZkZGSgadOm4r7Tw7KMcm232jWAyJepHds7d+5E//790bVrV/z88884cOAAJk2aJDnPnNFOxcbGokOHDli6dCkAYNmyZXjyySd1L6dHjx4oV64cfvzxR/z0008oKCjA448/rji/oOF5sH5+flbzybVTlm3U7du30aVLF4SFheHbb7/Fnj17xJsU9LRTSmW0bKfk6lHL9pUVDLIRERERERERebGEhARkZ2fj/Pnz4rRjx47h5s2baNSoEQCgUaNGVsEy89fR0dGoVq0azpw5g7p160r+mbJbLF27dg2ZmZl444030KlTJzRq1Ai5ubmSeZo1a4aMjAzFZwcFBQWhpKTE5jb27t0bd+/exa+//oqlS5fa7PwKDAyUXe7IkSPx22+/Ye7cuSgqKkLfvn1trpuoNCrt52+jRo1QXFyMvXv3itNOnDghGZWkatWqACB5TpPlCCVKtm7dimHDhqFPnz5o2rQpYmJikJWVJZlHy/5p1KgRfv/9d8m07du3i203UVm2bds21KxZE5MmTUJycjLq1auHc+fOSeZp1qwZNmzYoLgMre3UoEGDsGLFCuzYsQOnT59G//79dS8zICAAQ4cOxcKFC7Fw4UL0798foaGhistJSEhQ/W4G3GunLl26JAlYaWmnjh8/jqtXr+K9997DQw89hIYNG1pllpky39T2T0JCAoqLi8WbMIB714+TJ0+yndKBQTYiIiIiIiIiL9a5c2c0a9YMgwYNwv79+7F7924MGTIE7du3F4c4e+mll/DVV1/hq6++wsmTJzFlyhQcPXpUspypU6dixowZmD17Nk6ePInDhw9j4cKFmDlzpux6IyMjUblyZSxYsAB//PEHNm7ciLFjx0rmGTBgAGJiYtC7d29s27YNZ86cwQ8//IAdO3YAAOLj43H27FlkZGTg6tWrKCgokF1X+fLl0atXL0yePBmZmZkYOHCg6j6Jj4/Hhg0bcOnSJUngoFGjRmjdujUmTpyIAQMGOC1Th8jXlPbzt0GDBnj00UcxatQo7Nq1C/v27cPIkSMlnwkJCUHr1q3x3nvv4dixY9iyZQveeOMNm/sOAOrWrYuVK1ciIyMDBw8exMCBA60yy+Lj47Flyxb89ddfuHr1quxyxo8fj0WLFuGzzz7DqVOnMHPmTKxcuRLjxo3TVA6i0qxu3brIzs7G8uXLcfr0afz73/8Ws7FMpkyZgmXLlmHKlCnIzMzE4cOH8f7774vvazkPAaBv377Iy8vDs88+iw4dOqBatWqK88bHxyM/Px8bNmzA1atX8ffff4vvjRw5Ehs3bsQvv/xiM1v+mWeewenTpzF27FicOHECS5cuxaJFiyTzpKam4sqVK3j//fdx+vRpzJkzB7/88ovqcgGgRo0aCAoKwieffIIzZ85g9erVePvttyXz1KxZEwaDAT///DOuXLmC/Px8q+XUq1cPvXr1wqhRo/D777/j4MGDePLJJ1GtWjX06tXLZjnoHgbZiIiIiIiIiLyYwWDAqlWrEBkZiXbt2qFz586oXbs2VqxYIc7Tr18/vPnmm5g4cSKSkpJw7tw5PPvss5LljBw5El988QUWLVqEpk2bon379li0aJFiJpufnx+WL1+Offv2oUmTJnjllVfwwQcfSOYJCgrC+vXrERUVhW7duqFp06Z477334O/vDwB4/PHH8eijj6JDhw6oWrUqli1bpridgwYNwsGDB/HQQw+hRo0aqvvko48+QlpaGqpXr477779f8t6IESNQWFjIoSKpTCsL5+/ChQtRvXp1tG/fHn379sXTTz+NqKgoyTxfffUVioqKkJycjJdeegnvvPOOzeUCwMcff4zIyEi0adMGPXr0wCOPPIIWLVpI5nnrrbeQlZWFOnXqiFlzlnr37o3Zs2fjgw8+QOPGjTF//nwsXLhQfHYSUVnWq1cvvPLKK3j++eeRmJiI7du3Y/LkyZJ5UlNT8d1332H16tVITExEx44dJVlXWs5DAKhQoQJ69OiBgwcP2nxmZJs2bfDMM8+gX79+qFq1qiSoV69ePbRp0wYNGjSQPMdMTo0aNfDDDz/gp59+QvPmzfHZZ5/h3XfflczTqFEjzJ07F3PmzEHz5s2xe/duTUH4qlWrYtGiRfjuu++QkJCA9957Dx9++KFknmrVqmHatGl47bXXEB0djeeff152WQsXLkRSUhK6d++OlJQUCIKAtWvXWg0RScoMAgfPJCIiIiIiIqJSYvr06Vi+fDkOHz7s6aIQkU48f4nImwmCgIYNG2L06NFW2cFUdgV4ugBERERERERERI7Kz89HZmYmPvnkE6shk4jIu/H8JSJvl5OTg8WLF+Ovv/7CU0895enikBdhkI2IiIiIiIiIfN7zzz+PZcuWoXfv3hwqksjH8PwlIm8XHR2NKlWqYMGCBYiMjPR0cciLcLhIIiIiIiIiIiIiIiIiIp38PF0AIiIiIiIiIiIiIiIiIl/DIBsRERERERERERERERGRTgyyEREREREREREREREREenEIBsRERERERERERERERGRTgyyEREREREREREREREREenEIBsRERERERERERERERGRTgyyEREREREREREREREREenEIBsRERERERERERERERGRTv8PRDdz1KM7MJYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1800x600 with 10 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tnm.analysis(lks_data, 1, save=False)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}