data_delito.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using matplotlib backend: nbAgg\n",
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "%matplotlib nbagg\n",
    "%pylab"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "\n",
    "# Downloaded from https://www.dropbox.com/s/r8ulqv2m6bs0ydd/keplergl%20%284%29.json?dl=0&fbclid=IwAR2VYS_SHZoqU2ssj5DcCGrGZckpMTL52etlblzFUxYkXv5Aacrf0qoHzUc\n",
    "with open('Downloads/keplergl (4).json') as f:\n",
    "    data = json.load(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import datetime\n",
    "import pandas as pd\n",
    "\n",
    "# Convert to pandas dataframe\n",
    "\n",
    "rows = data['datasets'][0]['data']['allData']\n",
    "fields = [e['name'].lower() for e in data['datasets'][0]['data']['fields']]\n",
    "\n",
    "rows = [dict(zip(fields, r)) for r in rows]\n",
    "for row in rows:\n",
    "    row['timestamp'] = datetime.strptime(row['fecha del  hecho'], '%Y-%m-%d')\n",
    "\n",
    "\n",
    "df = pd.DataFrame(rows)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>barrio</th>\n",
       "      <th>cantidad de victimas</th>\n",
       "      <th>comuna</th>\n",
       "      <th>dia de la semana</th>\n",
       "      <th>fecha del  hecho</th>\n",
       "      <th>franja 24 hs</th>\n",
       "      <th>hora del hecho</th>\n",
       "      <th>latitud</th>\n",
       "      <th>longitud</th>\n",
       "      <th>mes</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>tipo de delito</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>None</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td>Martes</td>\n",
       "      <td>2018-01-16</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10:15:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Enero</td>\n",
       "      <td>2018-01-16</td>\n",
       "      <td>Hurto (Sin violencia)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>None</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td>Miercoles</td>\n",
       "      <td>2018-01-17</td>\n",
       "      <td>10.0</td>\n",
       "      <td>10:30:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Enero</td>\n",
       "      <td>2018-01-17</td>\n",
       "      <td>Hurto (Sin violencia)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>None</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td>Lunes</td>\n",
       "      <td>2018-01-01</td>\n",
       "      <td>9.0</td>\n",
       "      <td>09:45:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Enero</td>\n",
       "      <td>2018-01-01</td>\n",
       "      <td>Hurto (Sin violencia)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>None</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td>Viernes</td>\n",
       "      <td>2018-01-26</td>\n",
       "      <td>8.0</td>\n",
       "      <td>08:30:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Enero</td>\n",
       "      <td>2018-01-26</td>\n",
       "      <td>Hurto (Sin violencia)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>None</td>\n",
       "      <td>False</td>\n",
       "      <td>None</td>\n",
       "      <td>Lunes</td>\n",
       "      <td>2018-01-22</td>\n",
       "      <td>9.0</td>\n",
       "      <td>09:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Enero</td>\n",
       "      <td>2018-01-22</td>\n",
       "      <td>Hurto (Sin violencia)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  barrio  cantidad de victimas comuna dia de la semana fecha del  hecho  \\\n",
       "0   None                 False   None           Martes       2018-01-16   \n",
       "1   None                 False   None        Miercoles       2018-01-17   \n",
       "2   None                 False   None            Lunes       2018-01-01   \n",
       "3   None                 False   None          Viernes       2018-01-26   \n",
       "4   None                 False   None            Lunes       2018-01-22   \n",
       "\n",
       "   franja 24 hs hora del hecho  latitud  longitud    mes  timestamp  \\\n",
       "0          10.0       10:15:00      NaN       NaN  Enero 2018-01-16   \n",
       "1          10.0       10:30:00      NaN       NaN  Enero 2018-01-17   \n",
       "2           9.0       09:45:00      NaN       NaN  Enero 2018-01-01   \n",
       "3           8.0       08:30:00      NaN       NaN  Enero 2018-01-26   \n",
       "4           9.0       09:00:00      NaN       NaN  Enero 2018-01-22   \n",
       "\n",
       "          tipo de delito  \n",
       "0  Hurto (Sin violencia)  \n",
       "1  Hurto (Sin violencia)  \n",
       "2  Hurto (Sin violencia)  \n",
       "3  Hurto (Sin violencia)  \n",
       "4  Hurto (Sin violencia)  "
      ]
     },
     "execution_count": 206,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Evolucion a traves del tiempo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"751\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Cantidad de eventos por dia\\nse ven algunos momentos interesantes')"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "figure()\n",
    "df.timestamp.value_counts().plot()\n",
    "title('Cantidad de eventos por dia\\nse ven algunos momentos interesantes')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1241dcfd0>"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "figure()\n",
    "title('Cantidad de eventos por semana por tipo de evento')\n",
    "for t in df['tipo de delito'].unique():\n",
    "    (\n",
    "        df[df['tipo de delito'] == t]\n",
    "          .groupby('timestamp')\n",
    "          .timestamp\n",
    "          .count()\n",
    "          .sort_index()\n",
    "          .resample('W')\n",
    "          .sum()\n",
    "          .plot(label=t, logy=True)\n",
    "    )\n",
    "    \n",
    "legend(loc='best')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Patrones durante la semana"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['day_of_week'] = df.timestamp.apply(lambda x: x.isoweekday())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABrIAAAU+CAYAAAA1daQvAAAgAElEQVR4XuzdCbztU/038GWebuZZuDfzmDIPkTFj/mT2ECFjgwz9S0KphFSmhIeuzBRlTCEyU0LheuQaHlJmmRLu8/quv32efY+z99m/89tnn9/e571eLy+c8xvWeq91zu+c9Tlr/aaYNGnSpKQQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQqJjAFIKsivWI6hAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECGQBQZaBQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUEkBQVYlu0WlCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEBFnGAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQCUFBFmV7BaVIkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQEGQZAwQIECBAgAABAgQIECBAgAABAgQIECBAgAABApUUEGRVsltUigABAgQIECBAgAABAgQIECBAgAABAgQIECBAQJBlDBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECFRSQJBVyW5RKQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAUGWMUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFBJAUFWJbtFpQgQIECAAAECBAgQIECAAAECBAgQIECAAAECBARZxgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEAlBQRZlewWlSJAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBBkGQMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKVFBBkVbJbVIoAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQECQZQwQIECAAAECBAgQIECAAAECBAgQIECAAAECBAhUUkCQVcluUSkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAFBljFAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQSQFBViW7RaUIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQEWcYAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAJQUEWZXsFpUiQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAQZBkDBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEClRQQZFWyW1SKAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBAkGUMECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIVFJAkFXJblEpAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABQZYxQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUEkBQVYlu0WlCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEBFnGAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQCUFBFmV7BaVIkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQEGQZAwQIECBAgAABAgQIECBAgAABAgQIECBAgAABApUUEGRVsltUigABAgQIECBAgAABAgQIECBAgAABAgQIECBAQJBlDBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECFRSQJBVyW5RKQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAUGWMUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFBJAUFWJbtFpQgQIECAAAECBAgQIECAAAECBAgQIECAAAECBARZxgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEAlBQRZlewWlSJAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBBkGQMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKVFBBkVbJbVIoAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQECQZQwQIECAAAECBAgQIECAAAECBAgQIECAAAECBAhUUkCQVcluUSkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAFBljFAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQSQFBViW7RaUIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQEWcYAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAJQUEWZXsFpUiQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAQZBkDBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEClRQQZFWyW1SKAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBAkGUMECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIVFJAkFXJblEpAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABQZYxQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUEkBQVYlu0WlCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEBFnGAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQCUFBFmV7BaVIkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQEGQZAwQIECBAgAABAgQIECBAgAABAgQIECBAgAABApUUEGRVsltUigABAgQIECBAgAABAgQIECBAgAABAgQIECBAQJBlDBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECFRSQJBVyW5RKQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAUGWMUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFBJAUFWJbtFpQgQIECAAAECBAgQIECAAAECBAgQIECAAAECBARZxgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEAlBQRZlewWlSJAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBBkGQMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKVFBBkVbJbVIoAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQECQZQwQIECAAAECBAgQIECAAAECBAgQIECAAAECBAhUUkCQVcluUSkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAFBljFAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQSQFBViW7RaUIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQEWcYAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAJQUEWZXsFpUiQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAQZBkDBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEClRQQZFWyW1SKAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBAkGUMECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIVFJAkFXJblEpAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABQZYxQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUEkBQVYlu0WlCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEBFnGAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQCUFBFmV7BaVIkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQEGQZAwQIECBAgAABAgQIECBAgAABAgQIECBAgAABApUUEGRVsltUigABAgQIECBAgAABAgQIECBAgAABAgQIECBAQJBlDBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECFRSQJBVyW5RKQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAUGWMUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFBJAUFWJbtFpQgQIECAAAECBAgQIECAAAECBAgQIECAAAECBARZxgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEAlBQRZlewWlSJAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBBkGQMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKVFBBkVbJbVIoAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQECQZQwQIECAAAECBAgQIECAAAECBAgQIECAAAECBAhUUkCQVcluUSkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAFBljFAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQSQFBViW7RaUIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQEWcYAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAJQUEWZXsFpUiQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAQZBkDBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEClRQQZFWyW1SKAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBAkGUMECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIVFJAkFXJblEpAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABQZYxQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUEkBQVYlu0WlCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEBFnGAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQCUFBFmV7BaVIkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQEGQZAwQIECBAgAABAgQIECBAgAABAgQIECBAgAABApUUEGRVsltUigABAgQIECBAgAABAgQIECBAgAABAgQIECBAQJBlDBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECFRSQJBVyW5RKQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAUGWMUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFBJAUFWJbtFpQgQIECAAAECBAgQIECAAAECBAgQIECAAAECBARZxgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEAlBQRZlewWlSJAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBBkGQMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKVFBBkVbJbVIoAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQECQZQwQIECAAAECBAgQIECAAAECBAgQIECAAAECBAhUUkCQVcluUSkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAFBljFAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQSQFBViW7RaUIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQEWcYAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAJQUEWZXsFpUiQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAQZBkDBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEClRQQZFWyW1SKAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBAkGUMECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIVFJAkFXJblEpAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABQZYxQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUEkBQVYlu0WlCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEBFnGAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQCUFBFmV7BaVIkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQEGQZAwQIECBAgAABAgQIECBAgAABAgQIECBAgAABApUUEGRVsltUigABAgQIECBAgAABAgQIECBAgAABAgQIECBAQJBlDBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECFRSQJBVyW5RKQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAUGWMUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFBJAUFWJbtFpQgQIECAAAECBAgQIECAAAECBAgQIECAAAECBARZxgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEAlBQRZlewWlSJAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBBkGQMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKVFBBkVbJbVIoAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQECQZQwQIECAAAECBAgQIECAAAECBAgQIECAAAECBAhUUkCQVcluUSkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAFBljFAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQSQFBViW7RaUIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQEWcYAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAJQUEWZXsFpUiQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAQZBkDBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEClRQQZFWyW1SKAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBAkGUMECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIVFJAkFXJblEpAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABQZYxQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUEkBQVYlu0WlCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEBFnGAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQCUFBFmV7BaVIkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQEGQZAwQIECBAgAABAgQIECBAgAABAgQIECBAgAABApUUEGRVsltUigABAgQIECBAgAABAgQIECBAgAABAgQIECBAQJBlDBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECFRSQJBVyW5RKQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAUGWMUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFBJAUFWJbtFpQgQIECAAAECBAgQIECAAAECBAgQIECAAAECBARZxgABAgQIECBAgAABAgQIECBAgAABAgQIECBAgEAlBQRZlewWlSJAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBBkGQMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKVFBBkVbJbVKpbBd566630wAMP5OrPNddcaeqpp+7Wpqg3AQIECBAgQIAAAQIECBAgQIAAAQI9KPDOO++k5557LrdsueWWS9NPP30PtlKTeklAkNVLvaktIy5w9913p1VWWWXE66ECBAgQIECAAAECBAgQIECAAAECBAgQGEzgrrvuSiuvvPJgh/k8gREVEGSNKL+b95qAIKvXelR7CBAgQIAAAQIECBAgQIAAAQIECPSugCCrd/u2l1omyOql3tSWERd4/PHH07hx43I94iEw33zzjXidVIAAAQIECBAgQIAAAQIECBAgQIAAAQI1gb///e99u0pNnDgxjR07Fg6BSgsIsirdPSrXbQL/9//+37Tgggvmaj/11FPpwx/+cLc1QX0JECBAgAABAgQIECBAgAABAgQIEOhhAXOYPdy5Pdo0QVaPdqxmjYyAh8DIuLsrAQIECBAgQIAAAQIECBAgQIAAAQKtCZjDbM3JUdUREGRVpy/UpAcEPAR6oBM1gQABAgQIECBAgAABAgQIECBAgEAPC5jD7OHO7dGmCbJ6tGM1a2QEPARGxt1dCRAgQIAAAQIECBAgQIAAAQIECBBoTcAcZmtOjqqOgCCrOn2hJj0g4CHQA52oCQQIECBAgAABAgQIECBAgAABAgR6WMAcZg93bo82TZDVox2rWSMj4CEwMu7uSoAAAQIECBAgQIAAAQIECBAgQIBAawLmMFtzclR1BARZ1ekLNekBAQ+BHuhETSBAgAABAgQIECBAgAABAgQIECDQwwLmMHu4c3u0aYKsHu1YzRoZAQ+BkXF3VwIECBAgQIAAAQIECBAgQIAAAQIEWhMwh9mak6OqIyDIqk5fqEkPCHgI9EAnagIBAgQIECBAgAABAgQIECBAgACBHhYwh9nDndujTRNk9WjHatbICHgIjIy7uxIgQIAAAQIECBAgQIAAAQIECBAg0JqAOczWnBxVHQFBVnX6Qk16QMBDoAc6URMIECBAgAABAgQIECBAgAABAgQI9LCAOcwe7twebZogq0c7VrNGRqBdD4G33347vfbaa+n1119P8d/vvffeyDTIXQkQIEBg2AWmmmqqNP3006eZZ545zTTTTGmKKaYY9nu6AQECBAgQIECAAAECBAiMXoF2zWGOXkEt77SAIKvT4u7X0wJlHwKTJk1Kzz//fP5HIUCAAIHRJzDDDDOkhRZaKE055ZSjr/FaTIAAAQIECBAgQIAAAQIdESg7h9mRSroJgToBQZbhQKCNAmUfAs8880x65ZVXJqtR/GV+/LW+QoAAAQK9KfDuu++m+EOGWokwa+GFF7Yyqze7W6sIECBAgAABAgQIECAw4gJl5zBHvAEqMOoEBFmjrss1eDgFyjwE3nrrrTRx4sS+6s0xxxx5m6npppvOZOZwdpprEyBAYIQFYvvY2E722WefTRFqRVlwwQXTmDFjRrhmbk+AAAECBAgQIECAAAECvShQZg6zFz20qfoCgqzq95EadpFAmYdATGC+9NJLubVzzz13iiBLIUCAAIHRI/Dqq6+mp59+Ojd41llnTfPNN9/oabyWEiBAgAABAgQIECBAgEDHBMrMYXaskm5EoE5AkGU4EGijQJmHwGOPPZb+/e9/59osvvjithNsY7+4FAECBLpBIFZmPfLII3mbwViN+5GPfKQbqq2OBAgQIECAAAECBAgQINBlAmXmMLusqarbIwKCrB7pSM2ohkCZh8D/+T//J73zzjtp6qmnTosttlg1GqQWBAgQINBRAc+CjnK7GQECBAgQIECAAAECBEalQJk5zFEJptEjLiDIGvEuUIFeEijzEDB52UsjQVsIECAwNAHPgqG5OYsAAQIECBAgQIAAAQIEWhcoM4fZ+l0cSaB9AoKs9lm6EoFU5iFg8tIAIkCAAAHPAmOAAAECBAgQIECAAAECBIZboMwc5nDXzfUJDCQgyDIuCLRRoMxDwORlGzvCpQgQINClAp4FXdpxqk2AAAECBAgQIECAAIEuEigzh9lFzVTVHhIQZPVQZ2rKyAuUeQiYvBz5/lMDAgQIjLSAZ8FI94D7EyBAgAABAgQIECBAoPcFysxh9r6OFlZRQJBVxV5Rp64VKPMQMHnZtd2u4gQIEGibgGdB2yhdiAABAgQIECBAgAABAgQaCJSZw4RKYCQEBFkjoe6ePStQ5iFg8rJnh0VlG3bkkUemo446Ktdv0qRJba1nu679yU9+Mt10001pnXXWSb///e8nq+Pjjz+exo0blz929tlnp912262tbej2i/3sZz9Lu+++e27GxIkT09ixY7u9SaOi/p4Fo6KbNZIAAQIECBAgQIAAAQIjKlBmDnNEK+7mo1ZAkDVqu17Dh0OgzEPA5OVw9Ejja0Yosu666+YDjjjiiBTBy2AlgpLx48f3TDDQrrBpILd2Xbsbgqz6ttZbTDvttGmWWWbJ/yy22GJppZVWShtssEFae+21Bxtqbfm8IKstjB2/iGdBx8ndkAABAgQIECBAgAABAqNOoMwc5qjD0uBKCAiyKtENKtErAmUeAiYvOzsKBFkph3dWZJUfd42CrEZXXmqppbL7tttuW/7mTa4gyBpW3mG7uGfBsNG6MAECBAgQIECAAAECBAi8L1BmDhMigZEQEGSNhLp79qxAmYdA0cnLsf99Vc86RsMeP2azYW2fIGtYedt28WYrstp2k5IXqg+yzjrrrLTyyivnK8Z2ja+88kp67rnn0j333JOuvPLKdP/99/fdbY899kinn356mnLKKUvWYODTBVnDwjrsFy36LBj2CrkBAQIECBAgQIAAAQIECPScQJk5zJ7D0KCuEBBkdUU3qWS3CJR5CBSdvBRklRsVgqxyfp06u9uCrBtvvDFFnRuVK664In3uc59Lzz//fD7kkEMOSccee+ywcAqyhoV12C9a9Fkw7BVyAwIECBAgQIAAAQIECBDoOYEyc5g9h6FBXSEgyOqKblLJbhEo8xAoOnkpyCo3KgRZ5fw6dXavBVnhFl/rK664YvrXv/6VGf/4xz+mj3/8420nFWS1nbQjFyz6LOhIpdyEAAECBAgQIECAAAECBHpKoMwcZk9BaEzXCAiyuqarVLQbBMo8BIpOXgqyyo2I4QyyXnvttXTyySenX/3qV2nChAnp9ddfT3PNNVdabbXV0m677ZY233zzhpXvH9w8+uij6fjjj0/XXXdd+vvf/57mmWeetP7666dvfvObaeGFF+67zl/+8pf0gx/8IN10003pmWeeyfeL+8S7mOaee+4B79fqO7L+/e9/p/Hjx+f2/PnPf86riaaeeuo0duzYtPrqq+d3PW200UZpiimm6LtPq9e+4447cr3/8Ic/pJdffjnNN998acMNN0wHHXRQWmKJJfLqpmjTOuusk6LP6svjjz+exo0blz909tlnZ9uByttvv53OPPPMdMkll6Rwiu3+Zp999hwe7bTTTvmfMtv71bd1sBVZtfqdeuqpaf/998//G34XX3zxgHV/77330vnnn5//+dOf/pRefPHFNMsss6Rll102n7fnnnumaaeddsBzWw2yYuvDH//4x+mqq65KEydOTG+99Vaad9550yc+8Ym09957p7XWWqvpF9sNN9yQzjjjjBR9+eyzz+ZxEOMv+jLO3XTTTdN6663X9vaV+w5Q3bOLPguq2xI1I0CAAAECBAgQIECAAIGqCpSZw6xqm9SrtwUEWb3dv1rXYYEyD4Gik5eCrHKdO1xB1r333psDpAiTGpWtt946nXfeeWn66af/wEYgoZcAACAASURBVCH1wc03vvGNFMfWVu7UHxzhVAQ8Sy65ZLrgggtyiBOBTf8SYddtt92W5p9//g98rpWwKYKrqEMEHM1KfD6CrVpp5do//OEP08EHH5wirOlfZpppphzuxLZ7ZYKsCLs22WST9PDDDzesfoQtEdJFuDWUMpQg64033kgLLLBADu9mnHHG/O9ppplmsttHaPXpT3863XrrrQ2rtdRSS6VrrrlmslCzdnArQVYEpBGIvfrqqw3vEYHbiSeeOGDYd+CBB6Yf/ehHTdnmmGOOvq0U6w8s276h9FU3nFP0WdANbVJHAgQIECBAgAABAgQIEKiWQJk5zGq1RG1Gi4Aga7T0tHZ2RKDMQ6Do5KUgq1yXDkeQ9fTTT6flllsuvfTSS3lVSoRLO+ywQ4qJ/AcffDCvPLrvvvtyxbfffvt04YUXfqARtSBrscUWy5P/Y8aMSYceemhaZZVVclD1i1/8Iq+emTRpUlpzzTVThEFrrLFGiuNjFdPyyy+fV4CdddZZ6ec//3nTew0WNj300EP5vrHCLMpWW22V2/ORj3wkvfvuu+mRRx7JK8Uuu+yyvNKpSJAV50RAFiVWGH31q1/te7dUrPCJACtWScXKnvjaGMqKrKj3Rz/60fTYY4/l+/zXf/1Xfj9VhHoRvMWquQjJooThzTffnKaaaqrCA2soQVbcZLPNNktXX311vl+sZlp11VX77h2+sSLq9ttvzx+L9h9wwAF5BVqEpNG/l19+ef7cIossklfKxVipL4MFWXFO3DPGVYRocf0IziJEjED2mGOO6QswYwx+//vfn+z6V155Zdpiiy3yx2Lc7bvvvimCtejPCOb++te/pt/97nfprrvuSvG1UV/a0b7CHdUlJxR9FnRJs1STAAECBAgQIECAAAECBCokUGYOs0LNUJVRJCDIGkWdranDL1DmIVB08lKQVa4/64OsmIDfb7/9Br1grJCKlTtR+q9Aio/FypZLL700fz62sttjjz0mu2Zs0Rerg2L7uSgRYsT/15dakBUfi3AqVuNEmFNfDjnkkLzdYJT4XBz329/+Nq/sqS/bbbdd3k4vtgGsbTdY//nBgqx4j1NsZxeBUqwgixBroPLCCy/ke88wwwx9n2527QhOaoFMhB4R1kQAUl8iGIugrrZSaChBVr1T9N23v/3tye4RYeAuu+yS2xYltvuLsVC0DDXIOvzww9PRRx+db3fOOefkutTKKaeckoOlKLvuumuKUKp+68b4+GGHHZa++93v5mMGCpoGC7IipLz77rtzeBdjMbaHrC8RyMZqtQhhYwzcf//9aZllluk7JOoVYWms+ov+6h+k1Q6MlVf9V7u1o31F+6lbji/6LOiWdqknAQIECBAgQIAAAQIECFRHoMwcZnVaoSajSUCQNZp6W1uHXaDMQ6Do5KUgq1x31gdZQ7lS/yArgqKFFloor1TaeOON83ZvA5XY6i6Cp3feeSe/OyjeS1Rf6oOsuEZcq3+Je8eqqCgRbsTKl/5BUHwuArPau4kigIvVNvWlWdgUK60+9alP5cO//OUv55VfRUqza0e4FiFblAjkYiXZQCVWZcVKrShFg6wIDeM9T7EyKMKXWAk30GqrCMrCMsK4pZdeOlsWLUMNsmJLvtiaL0qssvviF7/Yd+uoS6yIi6Dyb3/7W/rQhz70gWrFGIoVgLFt4myzzZbfoTbddNP1HdcsyIpVUrUVYPvss0/6yU9+MmCzI0itvSMrwt4IoGolgq8IUGOl3i9/+ctCbO1oX6EbdtHBRZ8FXdQ0VSVAgAABAgQIECBAgACBigiUmcOsSBNUY5QJCLJGWYdr7vAKlHkIFJ28FGSV68t2B1nnn39+2nnnnXOlIqjZZpttGlYwAqwIqWIVUwQp9QFLLciaddZZU6xk6b8Kp3bRmWeeOb87K7bOiy3iBipxfmxrGCWCqAik6kuzsClClZNOOikfHuFbrLopUppde++9906nn356bts///nPNOeccw546eeeey7NM888eRvFokFWvBcsVnRFOe644/K7uBqVCGhqQU4EkvPNN1+RpqahBlmxam+vvfbK94qVWbHCKkrUId6fFSXeTxVbIDYq9WFftHn11VfvO7RZkBUruWr3i1VZK620UsN71EKnxRdfPE2YMKHvuM9+9rN5JVmMsTvvvDNvcdhKaVf7WrlXNx5T9FnQjW1UZwIECBAgQIAAAQIECBAYWYEyc5gjW3N3H60CgqzR2vPaPSwCZR4CRScvBVnlurDd78j6+te/nr73ve/lSj355JNpwQUXbFjBo446KocfUeI9U7FCq1ZqQdbKK6+c3y3UqMTqr6eeeipvZ3jxxRcPeNh7773XF5J961vfSrGVXX1pFjbF+5luueWWvMrsiSeeKIzd7NrxPqrYTjBWQsVqo2YljokVaEWDrAjKIjCLEu++ivY0KuPHj8/vM4sSK9E23HDDQu0dapAV4eJXvvKVfK8TTzwxfeELX+irQ201XP8tB/tXLN7xFWMmSrS5FozF/zcLsnbaaad0wQUXpGmnnTa/Uy22n2xUdt99976tDd966618TpTrr78+bbDBBvm/p59++rTlllvmVXxhveiiiza8Xv1qvzLtK9RJXXRw0WdBFzVNVQkQIECAAAECBAgQIECgIgJl5jAr0gTVGGUCgqxR1uGaO7wCZR4CRScvBVnl+rLdQVZsz/bTn/40Vyom++u3eOtf0zgujo9yxx139G3xFv9fC7IGCm7qrzN27NgcMMWqmAgsGpXaiq4jjjiiLzyrHdssbIqtCmPLuth+LupYtDS79pJLLplX9qy22mo50GpWYoVR3L9okHXMMcekr33ta/nS0Y4lllii4W1+85vf9G3heOGFF6btt9++UHOHGmTVv+Pq3HPP7VvRF3XYcccdcx2uvfbavi0eB6pUOIZnlGhzbSvG+P9mQVZsWRntju0XY0vCZiUc49pRnn322bxKrlZiq8F4F9mbb7452SViRdnmm2+e3zkWqwbrS7vaV6iTuujgos+CLmqaqhIgQIAAAQIECBAgQIBARQTKzGFWpAmqMcoEBFmjrMM1d3gFyjwEik5eCrLK9eVwBlnxfqbaqpWBainI+p8gK0Kq2A6vWWlHkBX3im3xGpWRCrJqW0xGveq396sPeqJu8S6qRqVskBXbKMZWf81KsyArzovtIWNrzXhfVrxT65VXXum7XASpsVoxtk6slXa1r9x3gOqeXfRZUN2WqBkBAgQIECBAgAABAgQIVFWgzBxmVdukXr0tIMjq7f7Vug4LlHkIFJ28FGSV69x2B1nt3lpwpFdkDefWgrVwajRvLfjGG2+k+eefP4c+Y8aMSS+99FLf9n7t2npvuLcWHOgrMLazjHe2XXbZZfndXi+//HI+7PLLL89bD0ZpV/vKfQeo7tlFnwXVbYmaESBAgAABAgQIECBAgEBVBcrMYVa1TerV2wKCrN7uX63rsECZh0DRyUtBVrnObXeQFStSdt5551ypSy65JG2zzTYNK7jZZpulq6++Os0444zp1Vdf7XuPVZxQla0Fv/SlL+X3NkV5/PHH08ILL1wIvNnWgp///OfTGWeckWK1znPPPZfmmGOOAa8dn4tt7CZNmlR4a8FY6bXmmmvm6x533HHp4IMPblj//fffP5166qn587E6KVYpFSlD2VowtuQ74IAD8m122GGH/L6qWok6xNZ8UaJuEQg1KtG2Qw89NH862hwhYa00C7K++93vptjaMEr9arCB7rPMMsukBx98MK9qixVgrZY//elPacUVV8yHxzu5zjvvvD7jdrSv1Xp023FFnwXd1j71JUCAAAECBAgQIECAAIGRFygzhznytVeD0SggyBqNva7NwyZQ5iFQdPJSkFWuG9sdZEX4sNBCC6V33303bbLJJjmoGqg8+eSTadFFF03/+c9/Umwtd9VVV012WFWCrN/97ndpww03zHWLUOtHP/pRIfBmQdbFF1/c9x6qE044IR144IEDXrs+pCn6jqzY3jHe/xQrgpZddtl03333pSmnnPID9/nXv/6VYmXY888/n5Zeeun017/+tVA74+CiQVZ8rUfAE/eOEiuY+r9HKury0EMPpbnmmis99thjedVW/xJjbfnll88h02yzzZbfdVX/brZmQdZdd93V9262eI9VLcjrf494h9kaa6yRP7zffvulCOCKlNlnnz2vNovtEWObxFppR/uK1KObji36LOimtqkrAQIECBAgQIAAAQIECFRDoMwcZjVaoBajTUCQNdp6XHuHVaDMQ6Do5KUgq1xXtjvIitpsu+226dJLL80VixDhs5/97GSVfPvtt3N4df311+ePR9gVoVd9qUqQFXVaaaWV0h//+MccAMVqmlg5NFB54YUX8uqyGWaYoe/TzYKscBg7dmwOXiKAibBkiSWWmOzSEc5EgFJ731LRICsudsghh6Tjjz8+Xzfqc8QRR0x2j1jptdtuu6VzzjknfzzCnAh1ipYiQdaVV16Zdt999xycRYn3T8XqqP6lfsVWHH/WWWd94JhvfvOb6dvf/nb+eKzK+v73vz/ZMc2CrDhw5ZVXTvfcc0/e0vDaa69N66+//mTnh31sMfnAAw/kMRBhYISCtXLRRRelT3/605P1e/0F4tpxjyh77713Ou200/o+3Y72Fe2nbjm+6LOgW9qlngQIECBAgAABAgQIECBQHYEyc5jVaYWajCYBQdZo6m1tHXaBMg+BopOXgqxy3TkcQVb0f6yQiRUoMfH/uc99Lq88irDm4YcfzqFKrL6Jst1226UIAvqXKgVZsSJolVVWSa+99lqu5tZbb53DrFjBFKuBHn300fy+owjv/vKXv+RwqlaaBVlxzC9+8Yu+7RdnnXXW9NWvfjVvqxjhUvRNLZSJFUlxn6EEWbHiaYUVVsgrmqJ85jOfySFSbB04ceLEvGVf3CtKbMn3hz/8YbJtHlsdYfVtjcCpFt5EW2LryNgiMUKdK664It1///19l40tFiPciS0W+5fwjRApQr4o6623Xl4RNW7cuBwAxn1++ctf5s8tssgieVz1X7U1WJAV56y66qopgsVpp502feELX0hbbLFFmmmmmdK9996bjjnmmD67gYKy6O8Iu+LdV2uvvXbeejDOjWDzlltuSSeddFJ68cUXs+kdd9yRg9FaaUf7Wu2fbjuu6LOg29qnvgQIECBAgAABAgQIECAw8gJl5jBHvvZqMBoFBFmjsde1edgEyjwEik5eCrLKdeNwBFlRowgANt988/yupUYlAqFY4TT99NN/4JAqBVlRuViRtdVWW6WnnnqqKXgEQ0WCrLhYBHsRkETg07/ECq/YgjC2F7zpppuGFGTFNeP9XrHqLYLERiXepfXrX/86xTZ4Qyn1QVYr58e2erGSKsZBsxIhUKx4uvXWWxsettRSS6VrrrlmwHeYDRZkxUUjiIyVhBG4NSrxnq54X1r/rRmjv5944ommbYitDiOsi5Vv/UvZ9rVi3Y3HFH0WdGMb1ZkAAQIECBAgQIAAAQIERlagzBzmyNbc3UergCBrtPa8dg+LQJmHQNHJS0FWuS4criArahUrmGK1z+WXX54mTJiQ3njjjTTnnHOm1VZbLU/ox6qXRqVqQVbU880330xnnnlmbk+svIoAIkK4WB0UK5li1VmsGKovg63Iqh172223pR/84Ad5BU+s7on3WsUWdwcffHCKkKaZR4RUUYcoZ5999oBhSXwuVhydccYZ6ZJLLsn1j9AmQquPfexjaeedd0477bTTgO/PanWENQqypplmmjTzzDOnWWaZJW+dGCuS4l1Ra621VquXTu+9914OPc8///wckoZ9XHO55ZbLK9r22muvvJpqoNJKkBXnxYqxeAdabHUZq9fi/WLzzDNPXhG2zz77NKxvhJexyuzmm29OjzzySHr22WfzasQIIWOVWPRjbNUYK/galTLtaxmxyw4s+izosuapLgECBAgQIECAAAECBAhUQKDMHGYFqq8Ko1BAkDUKO12Th0+gzEPA5OXw9YsrEyBAoFsEPAu6pafUkwABAgQIECBAgAABAt0rUGYOs3tbrebdLCDI6ubeU/fKCZR5CJi8rFx3qhABAgQ6LuBZ0HFyNyRAgAABAgQIECBAgMCoEygzhznqsDS4EgKCrEp0g0r0ikCZh4DJy14ZBdpBgACBoQt4FgzdzpkECBAgQIAAAQIERqtAO18/8fgxm41WxlHV7jJzmKMKSmMrIyDIqkxXqEgvCJR5CJi87IURoA0ECBAoJ+BZUM7P2QQIECBAgAABAgRGo4AgazT2erk2l5nDLHdnZxMYmoAga2huziIwoECZh4DJS4OKAAECBDwLjAECBAgQIECAAAECBIoKCLKKijm+zBwmPQIjISDIGgl19+xZgTIPAZOXPTssNIwAAQItC3gWtEzlQAIECBAgQIAAAQIE3hcQZBkKRQXKzGEWvZfjCbRDQJDVDkXXIPC+QJmHgMlLw4gAAQIEPAuMAQIECBAgQIAAAQIEigoIsoqKOb7MHCY9AiMhIMgaCXX37FmBMg8Bk5c9Oyw0jAABAi0LeBa0TOVAAgQIECBAgAABAgTeFxBkGQpFBcrMYRa9l+MJtENAkNUORdcg8L5AmYeAyUvDiAABAgQ8C4wBAgQIECBAgAABAgSKCgiyioo5vswcJj0CIyEgyBoJdffsWYEyDwGTlz07LDSMAAECLQt4FrRM5UACBAgQIECAAAECBN4XEGQZCkUFysxhFr2X4wm0Q0CQ1Q5F1yDwvkCZh4DJS8OIAAECBDwLjAECBAgQIECAAAECBIoKCLKKijm+zBwmPQIjISDIGgl19+xZgTIPAZOXPTssNIwAAQItC3gWtEzlQAIECBAgQIAAAQIE3hcQZBkKRQXKzGEWvZfjCbRDQJDVDkXXIPC+QJmHgMlLw4gAAQIEPAuMAQIECBAgQIAAAQIEigoIsoqKOb7MHCY9AiMhIMgaCXX37FmBMg8Bk5c9Oyw0jAABAi0LeBa0TOVAAgQIECBAgAABAgTeFxBkGQpFBcrMYRa9l+MJtENAkNUORdcg8L5AmYeAyUvDiAABAgQ8C4wBAgQIECBAgAABAgSKCgiyioo5vswcJj0CIyEgyBoJdffsWYEyDwGTlz07LDSMAAECLQt4FrRM5UACBAgQIECAAAECBN4XEGQZCkUFysxhFr2X4wm0Q0CQ1Q5F1yDwvkCZh4DJS8OIAAECBDwLjAECBAgQIECAAAECBIoKCLKKijm+zBwmPQIjISDIGgl19+xZgTIPAZOXPTssNIwAAQItC3gWtEzlQAIECBAgQIAAAQIE3hcQZBkKRQXKzGEWvZfjCbRDQJDVDkXXIPC+QJmHgMlLw4gAAQIEPAuMAQIECBAgQIAAAQIEigoIsoqKOb7MHCY9AiMhIMgaCXX37FmBMg8Bk5c9Oyw0jAABAi0LeBa0TOVAAgQIECBAgAABAgTeFxBkGQpFBcrMYRa9l+MJtENAkNUORdcg8L5AmYeAyUvDqBcFbrjhhrT++uunueeeO02cODHNOOOMbW/mz372s7T77rvn68Y9xo4d2/Z7dOqCn/zkJ9NNN92U1llnnfT73/++7bd9/PHH07hx4/J1zz777LTbbru1/R5VuOCRRx6ZjjrqqFyVSZMmtb1Kb7zxRh5nzz33XLrxxhtT9Fu7imdBuyRdhwABAgQIECBAgMDoERBkjZ6+bldLy8xhtqsOrkOgiIAgq4iWYwkMIlDmIWDysrPDK0KCddddN9/0iCOOSDHxPViJSf/x48fnw7o9MBmsre34/HvvvZdWWGGF9MADD6Rjjz02HXLIIQ0vG/1xzjnnpDvuuCPF11EEBRF6zT///GnxxRdPq6yyStpggw3yv6eccsrJriPIar23BFmtWw125DHHHJO+9rWvpY9+9KPp3nvvTVNMMcVgp7T0ec+ClpgcRIAAAQIECBAgQIBAnYAgy3AoKlBmDrPovRxPoB0Cgqx2KLoGgfcFyjwECk9eHjlLb7sf+cqwtq9Xgqwqhzjnn39+2nnnndOcc86ZIkCZaaaZPtCnr732Wtpll13S5Zdf3lJ/X3PNNWnjjTee7NgqG7TUqLqDrMgqKjbw8cO9Iivu+q9//SuvynrxxRfTRRddlLbbbru2VL7ws6Atd3URAgQIECBAgAABAgS6WUCQ1c29NzJ1LzOHOTI1dtfRLiDIGu0jQPvbKlDmIVB48lKQVarvBFml+Fo6eZlllkkPPvhgOuyww9LRRx894DkRSv3mN7/Jn1t00UXTXnvtlVZeeeU022yzpddffz3F18Wtt96afv3rX6d//vOfaaAgq6XKOCgLjJYVWZ3q7liRFSuzlltuuXT//fe35baFnwVtuauLECBAgAABAgQIECDQzQKCrG7uvZGpe5k5zJGpsbuOdgFB1mgfAdrfVoEyD4HCk5eCrFJ9J8gqxTfoyb/97W/TRhttlI976KGH0pJLLvmBc6666qq0+eab549/6lOfSr/61a/SdNNNN+C133333bxqK64TAZkyNAFB1tDcGp0V22Yuv/zy+dPteldW4WdBe5vkagQIECBAgAABAgQIdKGAIKsLO22Eq1xmDnOEq+72o1RAkDVKO16zh0egzEOg8OSlIKtUJwqySvENevIOO+yQt1v7+Mc/nv74xz8OePznP//5dMYZZ+TP/eUvfxFQDapa/gBBVnnD/leIICsCrf/1v/5X+vnPf176BoWfBaXv6AIECBAgQIAAAQIECHS7gCCr23uw8/UvM4fZ+dq6I4GUBFlGAYE2CpR5CBSevBRkleq54QiyWn2/0WDv75liiily24444ogUx95www3pJz/5SbrjjjvSs88+mxZYYIEU74Vad911BzUYaJVIvJfq5JNPziugJkyYkLfwm2uuudJqq62Wdtttt75VUoNevMEBb731Vpp99tnTm2++mb7zne+kr3/96wMeWb+tYJzTaDXWYPUY7B1Z/fvl6aefTj/4wQ/ydoXx3zPOOGNaaaWV0pe//OW0ySabDHa7AT+/3nrr5RU5H/7wh9OTTz6Zan040MHR1nnmmSe9+uqradttt00XX3xx32GtjqFbbrkl/fSnP01/+MMf8piYfvrp07hx49Jmm22WvvSlL+X+HKgUCbKiPWFbu8fUU0+dFl544fyOsgMPPDDNP//8A96j//iO9p500knpggsuyFtFRllqqaXSrrvumvbZZ58U121W/v3vf6fx48fn8frnP/85Pf/88/mceD/V6quvng1j9V+9+WBfY2+//Xbe0jL+ufPOO9Ojjz6a4uti5plnzltcxjg44IAD8vvdBitHHXVU/jodM2ZMeu6553JflCmFnwVlbuZcAgQIECBAgAABAgR6QkCQ1RPd2NFGlJnD7GhF3YzA+wKCLEOBQBsFyjwECk9eCrJK9Vy3BFn/+c9/0ne/+93J2hphwlCDrHvvvTcHVc8880xDv6233jqdd955Q56Qv+mmm1IEMlGuv/76FCHPQOXTn/50uuKKK/Knol4rrLDCkPq0SJAVwdp//dd/5TBkoHLcccelgw8+uHA9/vf//t9pzz33zOfF2FpnnXUaXuPSSy/N4UuU2C5xyy237Dt2sCDrvffeS1/84hfTKaec0vD6s8wyS7rkkkvShhtu+IFjWgmyInjafffd04UXXtjwHjPNNFMOprbYYosPHFMfIkXIFsFXBFADlTg/DKaccsoBPx/nxXicOHFi0z6Jz0ewVSuDBVkR2EY41qzMMcccOTxbc801mx4XYVi0Mcp11103oHuRAVX4WVDk4o4lQIAAAQIECBAgQKAnBQRZPdmtw9qoMnOYw1oxFyfQQECQZWgQaKNAmYdA4clLQVapnuuGIGu55ZbLW5bFv2MFzLLLLptXOcXk/h577JEn92Oi/Rvf+Ea2iAn1/qtkYpVOhA5RYvVRXOull17Kq1diMj+2AIwJ+wcffDCvUrrvvvvysdtvv33TIKMZ/tFHH50OP/zwfI+4VwQrA5X6sCHCgssuu6zhSqJm92s1yFp88cXTiy++mEOTr3zlK2mttdZK0047bYrVTd/61rfSyy+/nFf6hG/R93DFufPOO2+K1UN77bVXOv300xtWOYKZaOtss82WV1NFHWplsCDr0EMPTRG2RYm+/epXv5q3b4xVdbHCLFbaRfgZ17zrrrvSRz/60cnqMViQNWnSpBxOxfvLosR/b7fddukjH/lIdotrxjiJVWdxj1tvvTWvZqsv9f26xhprpHvuuSevvIprxUq9WAX47W9/O787Lcppp52W9t577w94xedXWWWVvFIqylZbbZXHa9Ql3pn2yCOP5OAoLGNryiJBVmwDePvtt+drxj0WWmih3PdPPPFE+t3vfpfOOuusFKu2YmVbXHvuuedu2J8xxqNdUQ477LAU479MKfwsKHMz5xIgQIAAAQIECBAg0BMCgqye6MaONqLMHGZHK+pmBN4XEGQZCk0F/vnPf+aJy/jn7rvvzv+88MIL+ZzPfvazeVVIs1I/adoqdaw2ifOGUmIiMyYiBytl7tHs2mUeAoUnLwVZg3Vz08/XB1n77rtv2m+//Qa9XgRGERxF6b8CJD42WAhRu8Fgq0Xqt0hbf/31c6jQaNu9wUKc+kbFKqBYDRTlzDPPzGFYfYkQJrZUiy3lolx99dVD2mpv0003Tddcc01aZJFF8pZtjcpTTz2VllxyyfTGG2/kQ2aYYYa8NV6sZlp11VVzCFMf8jS6zmAGtX6J8+NrP8KX2J6xvkSYtfbaa6cIcmLF049//ONBx0P/Az7zmc+kX/7ylwMGVLVjX3nllbytYFjHO8Jie8D60mwMRagZq9ZiVVaEmrHl36yzzjrZ+ddee202jGMioIlt8+rLYEFWvLMs6jXNNNPkYKy20qj+GhHcfOITn0h//etf82qlsKsv9eM7rhNhU22FXu24CBSXXnrp9I9//CPFO6Zq/WgsowAAIABJREFUAWr9dVZcccX0pz/9KQdosUIwQqyBSjyTYnvIGD+tfo397W9/y4FYoy0gwzpCuAjR4us+grdmJa4V3xPCK8Z+mVL4WVDmZs4lQIAAAQIECBAgQKAnBARZPdGNHW1EmTnMjlbUzQi8LyDIMhSaCjR7z8twBVnxrpNYWTKUIsgailpFzznylWGtWH2QNZQbdSLIign8mHCvX2nSv66DhTi142MrwVh1EitZmk22R9Cx2GKLpXfeeSdFIFVbmVPEKIKJCALi/UW33XZb01OvvPLKtOOOO/atuqk/OMK7CGNi1Ux8v6mteilqUB9kRTgz0HZ4cc2ob7yH7GMf+1gOUIqWCLEizIrSf8vA2rXqtyCMLRgjPKsvzYKsCFvjXWlRop4R9g1UYkVYBJVR4o8QVl555b7DmgVZEeJF38eYO+igg9Lxxx/fkCDCmhgfUWJlVJxXK/VBVqx8ixVcA5Wvfe1r6Zhjjhlw5V6EX5/61KfyafHush/+8IeFumOwsLiVi8UqyB/96Ec5NIzx3KzE++UiNIxVf7HirEwRZJXRcy4BAgQIECBAgACB0SkgyBqd/V6m1YKsMnrOHQkBQdZIqHfRPeuDrJgEj9UTMcEYpZUgK7a4amVS73vf+146//zz83XjL+932mmnISnVgqx450yz7Z1ilUdMOLa7lHkIFJ68tCKrVPd1Q5AVq15uvvnmpu1sNciKr6+dd945Xyven7TNNts0vG5tRVWscnn11VfTVFNNVch6vvnmy1vmtRqExddNbJcXdWz07qpYeRSrpHbdddcP1GUwg1o4FNeI1TuN3sd0wAEH5HdPxVaIsVVg0RKrrGK1Vay6iu34Lrroog9cIlbY3XDDDTlUjFCp/x8LNAuy4ntWfJ+IbQ9ju7tGJcKrWsgV71eLwKhWmgVZscIqQpsose1ehDONSmxlOGbMmPzpeNdUfb/Uh0h//OMf89aHA5X6d4X1f0darIo76aST8mlR51hJV6QUDbJilVmsEov3g0WgF+UXv/hFiuvEeImPx+qyRqX2NTPzzDPn/i9TCj8LytzMuQQIECBAgAABAgQI9ISAIKsnurGjjSgzh9nRiroZgfcFBFmGQlOBI444Iv81f/wTE7T1k6CtBFmt8MYKkZjUjRUjH/rQh/JWU/VbRLVyjdoxtSCrXXUrcu84tsxDoPDkpSCraPdMdnw3vCNr//33z+88alYGC3Fq5379619PERhHifcbLbjggg0ve9RRR+UJ/Cj9V9u0gh4rqeL9QhGcnXvuua2cko+J7fDi/VSx2igCkNg6L74u6ku8u2j33Xef7GODGdTCofg+FiFPo/LNb34zbyEXwUV8XxpK2XPPPVOsuorvYfG9LL6n1Up8jwv3aGe82ypWI/UvjYKsCMmmn376fPjnPve5fI9GJf6AIN6LFv+OPwqIPw6olWZBVgRS8d60ouX73/9+ind31Up9iBSBVwSiA5UI9CLYixKBbQS3tRL/HVsWxrOhle1i+1+/lSArVlnFSq9YXRbBa7MSfdnsPVkx1iOIjdA3VjOWKYWfBWVu5lwCBAgQIECAAAECBHpCQJDVE93Y0UaUmcPsaEXdjMD7AoIsQ6GQwHAEWbGNYO09LDFBHRPVQy2CrKHKVfC8Dm4tGIFtLbhpJhGT/DHZH6UTWwu28m6ewUKcWnv22WefvvcxxeqSRu/ciuPjvU1xfJRmW9g1sooVTbGSa+utt86rWsqUCLRia7nae5hmm222HGzUB0SDGbTr3WWttCPeL7beeuvlQ6NeEarXygknnJC37Ity//33p+WWW+4Dl2xU1whaYqVblP/+7//uCyUb1am2Kq7/NpLNgqxYFVcfSLXS3jim/9dPKyFSnFcfJodb/Xu0llpqqfTwww/nlWUxBouWweoQQWCM8VZDp8FWhcVYv+yyy3LY+Oabbxat7mTHC7JK8TmZAAECBAgQIECAwKgUEGSNym4v1WhBVik+J4+AgCBrBNC7+ZbDEWTV/pK9NrG5zjrrDJlIkDVkuuqdKMj6QEAwUCcNFuLUzqkPsmJ1T2yv2aiUDbIWXXTR/J6lCCYioChbYlXPCiuskB599NF8qXgXVbw3q1YGM+hkkBWrrWIV0dNPP536v+9vpZVWyivNIsCKIGug0kqQFVsFxpaBzcpQgqxYIVbbhvCKK65o+m62+nvHSqX61UqDhUi1c0cqyIqALPogQqyo9yGHHJLDx3h+REBa20Iw/qhijz32yNUdKLiuN6j127zzzpv+/ve/lxrygqxSfE4mQIAAAQIECBAgMCoFBFmjsttLNVqQVYrPySMgIMgaAfRuvmW7g6x//etfKSb+3njjjTyJ+Nhjj33gnTFFvARZRbQqfmwXBlkxGR7BzWDvtoqJ8+OPPz53QO19PPW9UXtvUisrxQYLcWrX7eTWgquvvnpeRfPRj340bxXYjlLb9i+udeyxx+bwoVYGM+hkkBV1qvVvbDMXgVZsyxpbNC6xxBK5yhEYxdaCA5V2bC0YAU1s51d0a8Ezzjgjff7zn8/Vim0d11prrSF1XTuCrOHcWjBWtMV2iNE/8a6xePfjQCW+RmvjbLAgK8Z6hJOrrLJKuvPOO4fkVjtJkFWKz8kECBAgQIAAAQIERqWAIGtUdnupRguySvE5eQQEBFkjgN7Nt2x3kHX22Wfn971EOfzww9O3vvWtUjy1IGvcuHFp5plnzqtC4l03MZEcE4w77rhj2nLLLUuFZc0qWOYhUHjy0juySo2V4XhHVoytX//612nZZZdN8f6dRqV2XHy+bJBV/16jZpPt8f6eWP0Y5ZJLLknbbLNNw/ptttlm6eqrr85hSGwRGBP+RUqEIRGKjBkzJr3yyiv5nVNly2mnnZb23XfffJnYAu/ggw/uu2TVgqwI7z72sY/l+v34xz9OX/ziF/Pquvj+FiFlfB+NVVsDlWah2+KLL57fGbbMMsvkAKZRufvuu/P3uyixcqu2yir+v9nWgvfcc09+H2KUZmHbYH3ZjiDrS1/6UjrxxBPzrQbb1m+g+jSrwxZbbJGuvPLK9PGPfzyvkGtUdthhh3TRRRflTzf72opVeLGd5muvvZbf31Zme9y4V+FnwWAd4vMECBAgQIAAAQIECPS8gCCr57u47Q0sM4fZ9sq4IIEWBARZLSA55P8LtDvIWnfddfN7UmqTd7ElWZlSC7KaXWPNNdfMk5MLLLBA4VvFN/lmJbaUqk0gP/XUU+nDH/5wy/coPHkpyGrZdqADhyPIinc5RXAR2/Y9//zzk73HqVaH+HiEGLX36JQNsmIsx4R7lNgyrbbqp3+bn3nmmXzfCHY32WSTHFQNVJ588skUX4exmmfTTTdNV111VWHnn//852nXXXfN50XgEsHLQCXaXlt9NthN9txzzxTvNYoS792KdxLVStWCrKhXtPnBBx/sW6FTC6HWXnvtdNNNNzVsbrMga7/99ks/+clP8rmx6qf2vab/xfbee+90+umn5w/fddddfeFU/H+zICsCmYUXXjjF97mPfOQj6a9//Wt+51PR0o4g63e/+13acMMN860j1PrRj35UqBrN6hDj/9prr81fK/E1M1CJ7+WLLLJI39dpsyArxnjtfWcRuIZ/mVL4WVDmZs4lQIAAAQIECBAgQKAnBARZPdGNHW2EIKuj3G7WBgFBVhsQR9Ml2hlkxYR5BE8xmb3GGmukW2+9tTRlTBYvtdRS+d00sSom/kr+5ZdfTrfffnueAI5wKUocEx+LzxcprU66xzUFWUVkBzi2C7cWvOyyy/oClu985zsptvOrLxEObbvttulXv/pV34fLBlk333xzqr1XLkKnCJ8albj3pZdemj8d4c9nP/vZyQ59++238/nXX399/niEXTHpX7TUf5+I1SmxSmWgEu/tinAt/j377LM3vM1vf/vbXK/YMm+mmWZKEcrFistaqWKQFSuhDjvssFzFWA2300475f+O94/Vtu8bqMHNgqxY5RfvCovAKbayi76vd4jrXXfdddkqAsuBtrlrFmTF+fF9MgKzKDFeIpScbrrpBuybWK13zjnnpAMOOGCyz7cjyIoL1t4pFiv6zjvvvL7Atn9lXnjhhbx6cIYZZuj7VLM6xAq5k046Ka8UjC0U4/lTX2Kr21iVWPsji/hcsyCr/l1asT1urAguUwRZZfScS4AAAQIECBAgQGB0CgiyRme/l2m1IKuMnnNHQkCQNRLqXXzPdgZZ9RO97fgr9mCN0GrWWWcdUDjexxXbqcVEb5QDDzwwnXDCCYV6Q5BViKvcwV0YZEUQFGHqE088kSfJYyVJrByKVS2xuiW2Srv33nvTqquumt8hFaVskBXjeu65505vvfVW3iottoSLVTW17fxi5WFtgj9+SFl++eXTSy+9lD8f23puv/32abbZZssrU+KdQLV3Wm233XZ926oNpSNr7wyK7QzPPffcAS8RX4+xuipWsEX4EoFcBNBzzDFHDq0effTRvFXjxRdfnMObKD/84Q9TrHyrL1UMsuJ7Zaxqiv6N70nxvSna+eyzz2bvRmWw93kdeuiheWvFKLFiKN61FdsYvv766+mKK67IYywC07hXrNqK4Ku+DBZkRX0/85nPpAhla/eIFUYRikXwH+FVjJUIeaJvYmzHKsP60q4g66GHHsr3jS37osTXUqw+DNcI6mJ8xPfzCGdjVVT8YUStNKtD/daL0TfxHqx4H1i0JbYajDEWYVKs3q39gUWzICvGeISV7XonnCBrKN9xnEOAAAECBAgQIEBgdAsIskZ3/w+l9YKsoag5ZyQFBFkjqd+F925nkBWromJCNP7aPyZ3GwVQ7WSK9/XEJOiLL76YV3bEv2PCt9Via8FWpdpwXBcGWdHqW265JW288cY5WOhf4l1TEZ7GuDvqqKPyp8sGWXGNCDOOPfbYAdFvvPHGFOFIrUSQtvnmm+dVTY1KBAaxAmYo28rVrnnyySenL3zhC/k9Wf/4xz/yipn+pf49SIONmKhLvGMqQof+pYpBVtQxwpH6labxbrTLL7+8aVMHC7Ii0AvXU089teF1InCK8C9WpvYvgwVZcXwEYdE38QcGA43P+mvG6qNYhVRf2hVkxTUjWNpqq636VtM2anT/oGmwOsRYiveWNSoHHXRQDlVrqwkbBVmxeiuC5Ph67//utsHGdKPPC7KGKuc8AgQIECBAgAABAqNXQJA1evt+qC0XZA1VznkjJSDIGin5Lr1vu4KseG9LrEqJEttXxaRrp8r+++/fNwkck8z9t5UqU48yD4HCk5fekVWmq/KKknhHW5SY0I6J78HKbrvtlsaPH58Pa7ZCY8KECSm2Fowt+p577rk055xz5nH2la98Jf97sEn22sq/VusVYUO8Pyq2eYuVXxHYxoqVKP2DrPhYrHCJoClClahrTMZHHVdbbbUUbdxiiy0Goxj087ECaf7558/vGLrgggsabgsXW4zG+4pii7dYVROr2WKV2TTTTJNXLi299NK5n3bZZZe04IILDnjfqgZZ9dv0RcXj+1x8v2tWBguyaueGV2xTGP+OoDD+ICBC+ljZFivW5pprrgFv00qQVTsxtjI844wz8tdK9FOMmwgmI7xaccUV87aTEYr233pwsPFdu3791+BA47R2XIyhM888M4/XGCMRBEewGfVYffXV86rC9dZbb7L2tlKH2Doz3mkXK7QiiIpAKlaAxVaX8X6uwcZV3DDGdmwbGfWJ7/+xmrBsKfwsKHtD5xMgQIAAAQIECBAg0PUCgqyu78KON6DMHGbHK+uGBFJKgizDoJBAu4KseKfKKaecku8d22HFZGinSty39k6XViaWi9SrzEPA5GURacd2g0C8aynCnA022CDFe64UAr0mEGM7AuvYfjFWsLWjeBa0Q9E1CBAgQIAAAQIECIwuAUHW6OrvdrS2zBxmO+7vGgSKCgiyioqN8uPbEWTFtlXzzTdfeuGFF/JfwD/99NNp6qmn7phsbMkVq7KiCLI6xu5Go1AgtgxddNFF82qX22+/Pa/4Ugj0ikC85y5WhMX2tBE+LbTQQm1pWieDLL/stqXLXIQAAQIECBAgQIDAiAv42X7Eu6DrKiDI6rouG/UVFmSN+iFQDKAdQVZsDxXvPIkSW2D98Ic/LFaJkkfXrwaL9xmtueaaJa/4/08v8xDo5ORl2xrsQgQGETj88MPT0Ucfnbehi63cFAK9IhBjOrbFjPe2NXpH3VDa2slngV92h9JDziFAgAABAgQIECBQPQE/21evT6peozJzmFVvm/r1poAgqzf7ddha1Y4ga+utt06XXXZZruO9996bVlhhhWGrb/8Lx7uDFllkkbwabMYZZ8zvWun/fpcylSnzEOjk5GWZNjqXQBGBeN/VCSeckE+JCf/4ulMIdLtAvFfuuOOOy8048MAD08wzz9y2JnXyWeCX3bZ1mwsRIECAAAECBAgQGFEBP9uPKH9X3rzMHGZXNlilu15AkNX1XdjZBpQNsiI4im0F33777bTccsul+++/v+UGfPKTn0w33XRTPn7ixIlp7Nixk50bfxm/zjrrpBlmmGHAa7722mvpM5/5TLruuuvy57/whS+kE088seX7t3JgmYdAJycvW2mLYwgQIECg8wKdfBb4Zbfz/euOBAgQIECAAAECBIZDwM/2w6Ha29csM4fZ2zJaV1UBQVZVe6Yi9Yqt9x599NG+2jz//PN5VUWU2JJvzz33nKymu+22W9Oa17+f6vjjj08HHXRQyy0dLMiKzz/wwAMpVnyttdZaeeXVmDFjUqzCuu2229Jpp52WnnzyyXy/JZZYIn9s9tlnb/n+rRxY5iHQycnLVtriGAIECBDovEAnnwV+2e18/7ojAQIECBAgQIAAgeEQ8LP9cKj29jXLzGH2tozWVVVAkFXVnqlIvSKYGj9+fMu1mTRpUtNjV1tttXTnnXemqaaaKsU3zHnnnbfla7cSZNVWbDW7aKzaOu+889ICCyzQ8r1bPbDMQ6CTk5ettsdxBAgQINBZgU4+C/yy29m+dTcCBAgQIECAAAECwyXgZ/vhku3d65aZw+xdFS2rsoAgq8q9U4G6tTPIism5xRdfPLdq4403Ttdcc02hFg4WZN1zzz3p+uuvT7fffnuaMGFCitVjL7/8cn4nz/zzz59WXXXVtOOOO6aNNtooTTHFFIXu3erBZR4CnZy8bLU9jiNAgACBzgp08lngl93O9q27ESBAgAABAgQIEBguAT/bD5ds7163zBxm76poWZUFBFlV7h116zqBMg+BTk5edh2sChMgQGCUCHTyWeCX3VEyqDSTAAECBAgQIECg5wX8bN/zXdz2BpaZw2x7ZVyQQAsCgqwWkBxCoFWBMg+BTk5ettoexxEgQIBAZwU6+Szwy25n+9bdCBAgQIAAAQIECAyXgJ/th0u2d69bZg6zd1W0rMoCgqwq9466dZ1AmYdAJycvuw5WhQkQIDBKBDr5LPDL7igZVJpJgAABAgQIECDQ8wJ+tu/5Lm57A8vMYba9Mi5IoAUBQVYLSA4h0KpAmYdAJycvW22P4wgQIECgswKdfBb4ZbezfetuBAgQIECAAAECBIZLwM/2wyXbu9ctM4fZuypaVmUBQVaVe0fduk6gzEOgk5OXXQerwgQIEBglAp18Fvhld5QMKs0kQIAAAQIECBDoeQE/2/d8F7e9gWXmMNteGRck0IKAIKsFJIcQaFWgzEOgk5OXrbbHcQQIECDQWYFOPgv8stvZvnU3AgQIECBAgAABAsMl4Gf74ZLt3euWmcPsXRUtq7KAIKvKvaNuXSdQ5iHQycnLroNVYQIECIwSgU4+C/yyO0oGlWYSIECAAAECBAj0vICf7Xu+i9vewDJzmG2vjAsSaEFAkNUCkkMItCpQ5iHQycnLVtvjOAIECBDorEAnnwV+2e1s37obAQIECBAgQIAAgeES8LP9cMn27nXLzGH2roqWVVlAkFXl3lG3rhMo8xDo5ORl18GqMAECBEaJQCefBX7ZHSWDSjMJECBAgAABAgR6XsDP9j3fxW1vYJk5zLZXxgUJtCAgyGoBySEEWhUo8xDo5ORlq+1xHAECBAh0VqCTzwK/7Ha2b92NAAECBAgQIECAwHAJ+Nl+uGR797pl5jB7V0XLqiwgyKpy76hb1wmUeQh0cvKy62BVmAABAqNEoJPPAr/sjpJBpZkECBAgQIAAAQI9L+Bn+57v4rY3sMwcZtsr44IEWhAQZLWA5BACrQqUeQh0cvKy1fY4jgABAgQ6K9DJZ4Ffdjvbt+5GgAABAgQIECBAYLgE/Gw/XLK9e90yc5i9q6JlVRYQZFW5d9St6wTKPAQ6OXnZdbAqTIAAgVEi0MlngV92R8mg0kwCBAgQIECAAIGeF/Czfc93cdsbWGYOs+2VcUECLQgIslpAcgiBVgXKPAQ6OXnZant6+bjf//73ad11181NPOKII9KRRx45aHN32223NH78+HzcxIkT09ixYwc9xwH/I7D77runn/3sZ/m/F1988TRhwgQ0BAgMINDJZ4Ffdg1BAgQIECBAgACBU/a5oW0I+5+2Xtuu5ULFBPxsX8zL0SmVmcPkR2AkBARZI6Hunj0rUOYhUHTycrnxy/WsYzTsgc8+MKzt65UgK8KhCImiVDVce+ONN9I888yTXnvttb4+vf3229Nqq602rH1cu/jjjz+exo0bl//37LPPThFIKv9foBvG0Gjqr6LPgjI2ftkto+dcAgQIECBAgEBvCAiyeqMf/WzfG/3YyVaUmcPsZD3di0BNQJBlLBBoo0CZh0DRyUtBVrmOE2SV8yty9rnnnpt22WWXfMpMM82UXn/99bTvvvumU089tchlhnysIKs5nSBryENrWE4s+iwoUwm/7JbRcy4BAgQIECBAoDcEBFm90Y9+tu+NfuxkK8rMYXaynu5FQJBlDBAYBoEyD4Gik5eCrHIdKMgq51fk7I022ij99re/TSuuuGJaddVVc4A1++yzp7///e9p2mmnLXKpIR0ryBJkDWngjNBJRZ8FZarpl90yes4lQIAAAQIECPSGgCCrN/rRz/a90Y+dbEWZOcxO1tO9CAiyjAECwyBQ5iFQdPJSkFWuAwVZ5fxaPfuZZ55JCy64YHrvvffSCSeckLcTXGONNfLpv/jFL9LWW2/d6qWGfJwgS5A15MEzAicWfRaUqaJfdsvoOZcAAQIECBAg0BsCgqze6Ec/2/dGP3ayFWXmMDtZT/ciIMgyBggMg0CZh0DRyUtBVrkOHI4g65Of/GS66aab0jrrrJPi+o3KkUcemY466qj86UmTJn3gsCmmmCJ/7Igjjkhx7A033JB+8pOfpDvuuCM9++yzaYEFFkixHdy66647KMKNN96Yol71Jd5VdfLJJ6df/epXacKECXmrv7nmmiuHTPH+qM0333zQ67Z6wLHHHpu++tWvpqmmmiq/SHTeeedNiy22WHr00UfTlltumS6//PKml+pv0ejgRva185vdpOZcf0wEb+eff37+509/+lN68cUX0yyzzJKWXXbZtO2226Y999yz4Wqy/v376quv5hAvgrt4j9mMM86YVlpppfSNb3yjL9SLe//zn/9MJ554YrrssstShG/TTz99WmuttfIY+NjHPtbUaSj1rf8aaHbxdo+h/n0V3/t+/OMfp9/85jfp6aefTm+++WZl3/fW6rgvc1zRZ0GZe/llt4yecwkQIECAAAECvSEgyOqNfvSzfW/0YydbUWYOs5P1dC8CNQHvyDIWCLRRoMxDoOjkpSCrXMd1S5D1n//8J333u9+drLELL7zwkIOse++9NwdVsVKqUYlVUuedd14OUsqW5ZZbLv3lL39Jsb1gBBVRakHPNNNMk7cXnGOOORreZiSCrAitPv3pT6dbb721Yb2WWmqpdM0116Toi/6lPsh68skn0wYbbJAeeeSRDxwX4d4FF1yQg7H7778/bbrppjnI6V+mm266fK9GweVQ6zvUIKvsGKoPsg488MC088475zC1vkTgN3bs2LLDryvPL/osKNNIv+yW0XMuAQIECBAgQKA3BARZvdGPfrbvjX7sZCvKzGF2sp7uRaAmIMgyFgi0UaDMQ6Do5KUgq1zHdUOQFSHQAw88kOLfMeEfq4Fitcqf//zntMcee+RVK7GqKlb2RImgaP75558MZty4cWmmmWbKH4uQJK710ksvpQiIYvXVDjvskIOkBx98MP3gBz9I9913Xz52++23TxdeeGEp5FjJFO/FinLOOeekXXbZJf93rMaKVVlRTjrppHTAAQc0vE/ZICtCtAjtPvWpT+V7HH300XklWH2Ze+65U/wT5d13302f+MQn0u23357/P1bXRf3CMa5z1lln9a0iW2SRRXJfjBkzZrLr1QdZ8U6w6MMvfelLaeONN86rsW655Za82i5Wan3oQx/K5nGfCHMOOuig/N8R8l177bXpO9/5Tnr77bfTQgstlOJ7RP93ipWpb9xvJMZQLcgK0+eeey7NMMMMud3hHuHe3XffncflnHPOWWr8devJRZ8FZdrpl90yes4lQIAAAQIECPSGgCCrN/rRz/a90Y+dbEWZOcxO1tO9CNQEBFnGAoE2CpR5CBSdvBRkleu4+iBr3333Tfvtt9+gF4zAKIKjKAOtGGn31oJxn/XXXz9dddVVKVblDFRii8Hdd9+9YZ3qz4mVP5deemn+0JlnnpnDsPry73//O22yySYptpKLcvXVV+f/H2r58pe/nLeMi/DmH//4x2SBT2xjeOedd6aVV1453XXXXQ1vUTbIigsXeUfWKaec0hes7brrrnnlW//tCQ877LC+VXKHHnpo+v73vz9Z/euDrOi32G4yAq36En1a28IxtnWMLSZj68gIx+rLqaeemvbff//8oV/+8pdpq622muzz7ahvp8dQ7eskGhLBa4SGEdQp/yNQ9FlQxs0vu2X0nEuAAAECBAgQ6A0BQVZv9KOf7XujHzvZijKwlEqdAAAgAElEQVRzmJ2sp3sRqAkIsowFAm0UKPMQKDp5Kcgq13GtbqvW6C6dCLKmnHLK9Le//a3pFmuthhCxmijCgljBEyuDYqu6gUqEPrFa6p133slb3UXgMpQS58e7vOK9TzvttFPeqrC+1AcwDz30UFpyySUHvE2ng6yll146RX0iXAr7WDHVv0TbYmXbww8/nGabbba8PWJ90FgfZMX7wY455pgB2xZb5z3xxBP5c/EOtH322ecDx8UKvNlnnz299dZbeVVevGurvrSjvp0eQ/VBVv1KvaGMs148p+izoIyBX3bL6DmXAAECBAgQINAbAoKs3uhHP9v3Rj92shVl5jA7WU/3IlATEGQZCwTaKFDmIVB08lKQVa7juiHIiq3Wbr755qYNbTWEOP/88/O7iKJccsklaZtttml43QiwIuiKlVSx/V1s91a0XHnllWmLLbbIpw20suv555/Pq3HiHWBf//rX8xZ6A5VOBlkR9kX4FiVWQZ188skNm33sscemCKmi3HbbbWn11VfvO7Y+yIr3Sa2wwgoDXifew3XFFVfkFV8vvPBCDsUGKssvv3zenjC2RLz88sv7DmlXfTs9hmpBVmyT+Morr7TlXWxFx2eVjy/6LCjTFr/sltFzLgECBAgQIECgNwQEWb3Rj362741+7GQrysxhdrKe7kWgJiDIMhYItFGgzEOg6OSlIKtcx3XDO7IGC1NCoNUQIsKi733vexntySefTAsuuGBDwKOOOipFGBPlkUce6XufVRHx2jaG8e6peDfX1FNP/YHTI+iKwCtWisVKsP5b+MUJnQyyrrvuur53aQ22Uii2C4xAJsrpp5+e9tprr7721QdZ8R6qCAQHKrF14c9//vO8+itWrjUqa6+9dvrDH/6Q1ltvvXT99df3Hdau+nZ6DNWCrGWWWSbFO8yUyQWKPgvK+Pllt4yecwkQIECAAAECvSEgyOqNfvSzfW/0YydbUWYOs5P1dC8CNQFBlrFAoI0CZR4CRScvBVnlOq4bgqx4J9e3v/3tpg1tNYSIbet++tOf5mvFNnWN3rkVn4/jatvcxXub+r/faTD5l19+Oc0777wp3rn1xS9+Mb8na6By8cUXp+233z5/6oYbbkjrrrvuBw7rZJB14YUXph133DHX4dprr+0LtQaq+4QJE/q2Q4ytA2urs+LY+iAr3n3VqOy2225p/PjxaeGFF85BXqPS6N1r7apvp8dQrT1rrbVWDuiUyQWKPgvK+Pllt4yecwkQIECAAAECvSEgyOqNfvSzfW/0YydbUWYOs5P1dC8CNQFBlrFAoI0CZR4CRScvBVnlOq4bgqwjjjiib2VUo9YOJYSIgCm2dWtUygZZ9ee32ksR6px99tkfOHykgqzf/OY3aaONNmpY/aoFWWXq2+kx1CiYa3Ws9PpxRZ8FZTz8sltGz7kECBAgQIAAgd4QEGT1Rj/62b43+rGTrSgzh9nJeroXAUGWMUBgGATKPASKTl4Kssp14HAEWbH124033pgGe7fVIYccko4//vjcgIFW7LQa3sT5rYYQndxacM0118zvjSpSPvShD6Vnn332A9vwTTnllNno8MMPT9/61rcaXnLllVdO99xzT1pnnXVS9G19idVO48aNyx+KsCxCs4FKu7bq69SKrHbVt9NjSJDV/Cuj6LOgyNdZ/2P9sltGz7kECBAgQIAAgd4QEGT1Rj/62b43+rGTrSgzh9nJeroXgZqAFVnGAoE2CpR5CBSdvBRkleu44Qiyttxyy/TrX/86LbvssumBBx5oWMHacXFA2SArtqarBTMTJ05MY8eOHfC+559/ftp5553z5y655JK0zTbbNKzfZpttlq6++uocKr366qtpqqmmahn7b3/7W1p00UXz8TvssEOKtjYrjz32WDrssMPyIeeee25fHWvnzDLLLLkOBxxwQDrppJMGvFQYzj777Cm2NBwoyHriiSf6XJoFWc8880xaYIEF8j0Gez/Zcccdlw499NB8bIR2q6++el/dOhVktau+nR5DgqzmX05FnwUtf3EOcKBfdsvoOZcAAQIECBAg0BsCgqze6Ec/2/dGP3ayFWXmMDtZT/ciUBMQZBkLBNooUOYhUHTyUpBVruOGI8j68pe/nN8HFdv2Pf/88ylWGfUv8fGFFloovfnmm/lTZYOsiy66KAdGUR5++OG0xBJLDAgToUfc9913302bbLJJDqoGKk8++WQOov7zn/+kTTfdNF111VWFoGM7xNrKqVghteKKKzY9/5133snv03rhhRfyVn6xRV59WWGFFdJ9992XVltttXT77bcPeK1oS4RvUQYKsv7xj3/ke0Q57bTT0t57792wTksvvXR66KGH0lxzzZUiZBszZswHjg3D5ZdfPj344INpttlm+3/snQe0JkW1toucGXIYgiBxyJnLEAQBBQQkD0HJOQsXuUoGEQxEHaKEkSiMCFxyZgDJmXGAS3QWDpJzDv/a9fvN+s6ZL+1Tu7urq55ayyWcU/HZ76nqrpeqduPGjevzzbGyjCzpmEV/y9YQRlbnPyntWqD6A+2XmZfdEHqUhQAEIAABCEAAAmkQwMhKI44826cRxzJHEbKHWWY/aQsCDQIYWWgBAoYEQhYB7eYlRlZY4Iowsv72t7+5zTbbzHfs+OOPd3KdX3MSc2jLLbd011xzzfgfhxpZo0aN8uaNJDGdxHxql6TtkSNH+l/LdXI77LBDn6xffPGFL3/77bf7n4tBJKZXr0nGIiaYGEByMkxOiPWSdt11V3feeef5k19jx451c8455/hiBxxwgDv99NOdXLd4zz33OLm2sDnJdYTyM2lTUisjS8yyaaaZxsn45FrH3/72t227NXz4cH/6S9JOO+3kzj///AnyHnnkke64447zP5dTWb/5zW/65CnTyLLob9kawsjq/FehXQt6+Rtrl4eX3RB6lIUABCAAAQhAAAJpEMDISiOOPNunEccyRxGyh1lmP2kLAg0CGFloAQKGBEIWAe3mJUZWWOCKMLLEKFl44YWdXGUn33YSE0aMrSmnnNKNHj3aGzKPP/64W3nlld0DDzzgBxBqZH344Yduttlmc5999plbbrnl3Iknnui+853v+PYlyVV5U001lf9n0aecJHr33Xf973feeWc3bNgwf6pITnPJd7ueeOIJn3errbZyclJHk8RoWmONNXyRgw8+ePx3wLrVceONN4434MRkErOpkYSbnMoSM0r6KSbSaqut5k2p++67z5188sn+9JhcLSh/Q62MLKlLykj+mWee2V9RKHVONtlkvhkpK/+TJKet5BtnjdNf8t2zvffe239jS05eibF11VVX+bwLLLCA59X/1FaZRpZFf8vWEEZW578I7VrQ7e+r0+952Q2hR1kIQAACEIAABCCQBgGMrDTiyLN9GnEscxQhe5hl9pO2INAggJGFFiBgSCBkEdBuXmJkhQWuCCNLenTvvfe69dZbz3388ccTdFBOHInx8s4777hjjjnG/z7UyJI6Dj300LanjO68804nxkEjiZG24YYbOrlqsF0S8+2SSy7xBpwm7bbbbu5Pf/qTLyJGkFwH2EsSI0rMOPnG1ZJLLumeeuqpPsVOOeUUd9BBB7WsSgyoq6++2h1xxBHu7rvvbmtkyWm1jTbaqCVvuQ5RzKdGkvhsvPHG3vhql4YMGeLEgBPTsH8q08iStkP7W7aGMLI6/1Vo14Je/sba5eFlN4QeZSEAAQhAAAIQgEAaBDCy0ogjz/ZpxLHMUYTsYZbZT9qCQIMARhZagIAhgZBFQLt5iZEVFriijCzp1XPPPeevFpQr+t588003yyyzuKFDh3ozRv6/m9Eh1+hJ6m+wtBuxmGFyNd+f//xnf/Lr/fff9yeLJPU3suRnH330kfvjH//oDSDp6yeffOL7KMbTjjvu6A0fbZITYfIdKmlbToHJFYGNcfRS1/bbb+8uuugin/Wxxx5zyy67bJ9i8u0sMbQeeugh39/Bgwf7U1xytZ98+6sXc0RYyDfMHn74YR8XMdDacf7mm2+8mXfppZf6U3RiFk0//fTeaNtiiy2cmHbyLbRWqVt8G2WE9YgRI7wZ9sorr7TF1MvYQvorDZepoV7G04tmUs2jXQtCOPCyG0KPshCAAAQgAAEIQCANAhhZacSRZ/s04ljmKEL2MMvsJ21BoEEAIwstQMCQQMgiUObmpeGQqQoCEIAABAwJlLkW8LJrGDiqggAEIAABCEAgKgJWzzmvnPijqMZVRGcwsoqgWn6dVpqXnueg+/IjFF+LIXuY8Y2GHuVAACMrhygzxtIIhCwCZW5elgaEhiAAAQhAQEWgzLWAl11VaMgMAQhAAAIQgECNCFg95+SwoY+RVSNhd+iqleYxstLQQy+jCNnD7KV+8kDAmgBGljVR6suaQMgiUObmZdZBYvAQgAAEIiZQ5lrAy27EQqBrEIAABCAAAQgEEbB6zsHI0oVhn7O+rytAbjMCVprHyDILSfQVhexhRj84OpgkAYysJMPKoKoiELIIlLl5WRUf2oUABCAAgc4EylwLeNlFjRCAAAQgAAEIpErA6jkHI0unEIwsHS/L3Faax8iyjErcdYXsYcY9MnqXKgGMrFQjy7gqIRCyCJS5eVkJHBqFAAQgAIGuBMpcC3jZ7RoOMkAAAhCAAAQgUFMCVs85GFk6AWBk6XhZ5rbSPEaWZVTiritkDzPukdG7VAlgZKUaWcZVCYGQRaDMzctK4NAoBCAAAQh0JVDmWsDLbtdwkAECEIAABCAAgZoSsHrOwcjSCQAjS8fLMreV5jGyLKMSd10he5hxj4zepUoAIyvVyDKuSgiELAJlbl5WAodGIQABCECgK4Ey1wJedruGgwwQgAAEIAABCNSUgNVzDkaWTgAYWTpelrmtNI+RZRmVuOsK2cOMe2T0LlUCGFmpRpZxVUIgZBEoc/OyEjg0CgEIQAACXQmUuRbwsts1HGSAAAQgAAEIQKCmBKyeczCydALAyNLxssxtpXmMLMuoxF1XyB5m3COjd6kSwMhKNbKMqxICIYtAmZuXlcChUQhAAAIQ6EqgzLWAl92u4SADBCAAAQhAAAI1JWD1nIORpRMARpaOl2VuK81jZFlGJe66QvYw4x4ZvUuVAEZWqpFlXJUQCFkEyty8rAQOjUIAAhCAQFcCZa4FvOx2DQcZIAABCECgP4GjB9kxOfp9u7qoCQL9CFg952Bk6aSFkaXjZZnbSvMYWZZRibuukD3MuEdG71IlgJGVamQZVyUEQhaBMjcvK4FDoxCAAAQg0JVAmWsBL7tdw0EGCEAAAhDAyEIDNSVg9ZyDkaUTAEaWjpdlbivNY2RZRiXuukL2MOMeGb1LlQBGVqqRZVyVEAhZBMrcvKwEDo1CAAIQgEBXAmWuBbzsdg0HGSAAAQhAACMLDdSUgNVzDkaWTgAYWTpelrmtNI+RZRmVuOsK2cOMe2T0LlUCGFmpRpZxVUIgZBEoc/OyEjg0CgEIQAACXQmUuRbwsts1HGSAAAQgAAGMLDRQUwJWzzkYWToBYGTpeFnmttI8RpZlVOKuK2QPM+6R0btUCWBkpRpZxlUJgZBFoMzNy0rg0CgEIAABCHQlUOZawMtu13CQAQIQgAAEMLLQQE0JWD3nYGTpBICRpeNlmdtK8xhZllGJu66QPcy4R0bvUiWAkZVqZBlXJQRCFoEyNy8rgUOjEIAABCDQlUCZawEvu13DQQYIQAACEMDIQgM1JWD1nIORpRMARpaOl2VuK81jZFlGJe66QvYw4x4ZvUuVAEZWqpFlXJUQCFkEyty8rAQOjUIAAhCAQFcCZa4FvOx2DQcZIAABCEAAIwsN1JSA1XMORpZOABhZOl6Wua00j5FlGZW46wrZw4x7ZPQuVQIYWalGlnFVQiBkEShz87ISODQKAQhAAAJdCZS5FvCy2zUcZIAABCAAAYwsNFBTAlbPORhZOgFgZOl4Wea20jxGlmVU4q4rZA8z7pHRu1QJYGSlGlnGVQmBkEWgzM3LSuDQKAQgAAEIdCVQ5lrAy27XcJABAhCAAAQwstBATQlYPedgZOkEgJGl42WZ20rzGFmWUYm7rpA9zLhHRu9SJYCRlWpkGVclBEIWgTI3LyuBQ6MQgAAEINCVQJlrAS+7XcNBBghAAAIQwMhCAzUlYPWcg5GlEwBGlo6XZW4rzWNkWUYl7rpC9jDjHhm9S5UARlaqkWVclRAIWQTK3LysBA6NQgACEIBAVwJlrgW87HYNBxkgAAEIQAAjCw3UlIDVcw5Glk4AGFk6Xpa5rTSPkWUZlbjrCtnDjHtk9C5VAhhZqUaWcVVCIGQRKHPzshI4NNqRwJ/+9Ce32267+Txjx451c889d22InXPOOW6PPfZwyyyzjHvsscfcRBNNVJu+x9zRr776yk022WS+i8cdd5w7/PDDzbtbZ91pYKy22mruvvvuc2uvvba77bbbNEV7ynv//fe7oUOHuplnntm98MILboYZZuipXKtMZa4FvOwOOEwUhAAEIJAvgaMH2Y396Pft6qImCPQjYPWcg5GlkxZGlo6XZW4rzUufctC9Jfu61hWyh1nXMdPvehPAyKp3/Oh9ZARCFoEyNy8jw1ZJd+666y631lprtWx7qqmm8hvSSy+9tNtss83cdttt56aYYopC+1lXQ+GDDz5wCy64oHvzzTfdVVdd5TbddNOunG6//XZ37bXXulGjRrlx48a5d955x0099dRujjnmcCussILbYIMNfD0Sh5wTRpZd9Is2sqSn66yzjhNt/+xnP3Mnn3zygDtf5lrAy+6Aw0RBCEAAAvkSwMjKN/Y1G7nVc04OG/rD97zDLLoYWWYo1RVZaR4jS42+tgVC9jBrO2g6XmsCGFm1Dh+dj41AyCKg3bwcs+iQ2IZv2p8hz44xra9/ZZ2MrP55F198cXfddde5+eabr7A+1dXIOvbYY91RRx3lllpqKffEE090PI0lv99nn33c3//+964cZ5ppJn8C6cADD8z2hBdGVleZ9JyhDCNLjNnvfe97bsopp3QvvviiGzx4cM/9a86oXQsG1Mh/CvGyG0KPshCAAAQyJYCRlWng6zdsq+ccjCxd7DGydLwsc1tpXvqUg+4t2de1rpA9zLqOmX7XmwBGVr3jR+8jIxCyCGg3LzGywoLfbGTttddebu+99x5f4RtvvOGeeeYZ97vf/c5JTCUtueSS7vHHH3eTTDJJWMNtStfRyPr444/dPPPM49599113wQUXuB133LEtm+uvv94NGzbMSZkGz6222sqtuOKKbpZZZvE/f+WVV9xNN93kT2s18n344Ydu2mmnLYQ5lTpXR93FHDfR8yOPPBJ0Kku7FoTw4GU3hB5lIQABCGRKACMr08DXb9hWzzk5bOhzIqt++m7VYyvNY2SloYdeRhGyh9lL/eSBgDUBjCxrotSXNYGQRUC7eYmRFSa1ZiNLThQdffTRE1QoJoqcNBKDRdKVV17ptthii7CG25Suo6Fw5plnegNQrgD897//7aabbrqWo3v66afdyiuv7D799FM36aSTuj/84Q9u9913dxNPPHHL/GIkSkzOOussh5FViNzGV1pH3RVLJKz2U045xR100EFu0KBB3gQfiAmrXQtCeszLbgg9ykIAAhDIlABGVqaBr9+wrZ5zMLJ0sedElo6XZW4rzUufctC9Jfu61hWyh1nXMdPvehPAyKp3/Oh9ZARCFgHt5iVGVljwezGypIXzzjvP7brrrr6xPfbYw5srRaQ6GgryPatHH33Uycmqv/zlLy2xfPvtt94MlBNuki677DK39dZb94RQjMONNtrIX9VGKoZAHXVXDAmbWuWbb3PPPbf75ptv3IUXXuh22GEHdcXatUDdQFMBXnZD6FEWAhCAQKYEMLIyDXz9hm31nJPDhj4nsuqn71Y9ttK81J2D7tOIetgoQvYww1qmNAQGRgAja2DcKAWBlgRCFgHt5iVGVpgIezWyHnroIX+aSNIGG2zg5Iq8Tumaa65xI0aMcA8++KB76623/ImMRRZZxG2yySb++1DTTDNNy+L9DQW5bu/000/3xo98b2eiiSZyiy22mN8Y73SaqVG5nGo69dRT3Q033OBefvll98UXX7jZZ5/drbHGGm7PPfd0Q4cODQIofVpwwQV9HWJiiZnVKl199dVu00039b+S/7/qqquC2m0UljHJ+G699VY3duxYbxzMNddc7vvf/77bb7/9nHzXrFVq9d0pidXJJ5/s7rvvPvfmm2+6WWed1ddz2GGH+dhp00cffeRZf/LJJ2777bf3euiU7rnnHh8XSWeffbaPr6Rev5ElY7/44ou9VuT6S7nqUU4ELbHEEm7LLbf0Ruxkk03Wk+7EhGmVvv76a/fnP//ZjRw50rfx9ttve22LJjfffHOvqXaGY//vU8k8+fvf/95/d07+Wf4mVlppJX8d3w9+8IOuuEXbZ5xxhrvllluczJvvvffe+L8z+UbVT3/6Uz/25tTtG1nvvPOOE63efvvtfnz//Oc//d+MfKttmWWW8Scx5W+vHcfmtlZffXV37733uh/+8If+qkxt0q4F2vqb8/OyG0KPshCAAAQyJYCRlWng6zdsq+ecHDb0MbLqp+9WPbbSvNSdg+7TiHrYKEL2MMNapjQEBkYAI2tg3CgFgZYEQhYB7eYlRlaYCHs1sp544gm37LLL+sZ+/OMf+83uVkmuzZOTRvJ9p3ZJTAIxwuSEUv/UbGRJmzvttJPfUG+V1lprLW8CTD311C1/L5vnYizJtXzt0gEHHODkGjQxyAaSmk+qvfrqq27eeedtWY0wazC5++67xxs2A2mzUeb888938l0zMRpaJfmO2QknnOAOOeSQCX7d3xyafvrp/VVwYtT0T2KwCEsxQbRpm222cZdffrm/blGuXZTrF9slMYHEwJp88snd66+/7maccUaftRcjS8xSObX2wAMPtK1fTL0bb7zRf8+sk+7EEGxlZMnVmhtvvLGTKyLbpYUXXthru2FuNudrNpHkykgxdcU4apVEkwceeGDbdsRMk9iLSdguLbDAAu6FF17o8+tuRpaM+7XXXusYZjmBKH93YlJ2SqI7MerE2JNxdop9q3q0a4FWm835edkNoUdZCEAAApkSwMjKNPD1G7bVc04OG/oYWfXTd6seW2le6s5B92lEPWwUIXuYYS1TGgIDI4CRNTBulIJASwIhi4B28xIjK0yEvRpZcspl22239Y2J+SOngFolOZXSOG0kxpeYI0OGDPGnsqSOxqmcmWee2V+zN8ccc/SpptnIWnHFFd3DDz/s25XTJXJC6LnnnvOnhuQqP0lyQkSu3uuf5PerrLKK+/LLL70xsu+++3qjQ0wZ+d2JJ57oxHiS9Mtf/tIdf/zxAwK54447+jHNNtts3qhpleRaQRmvnBASw0hOzgzUOGvULyfexAiRJCbRf//3f7u1117biXklJ6rEwJLTQpLOOecct9tuu/XpWrM5JJzEAJITN/vvv78/xSMGyV//+lf/HS/p//zzz+/Z93ISp7khMTyEu6ROJ9YkTnPOOafvc3+jtJuRJb9fddVVnZwalCQGp5z6m2+++bwpI2Zjw0RcaKGFnBik/c3PblcLygk10bPUJ8aM8JTTY9KGGKU333yzZyXcxMQSjUmsm1PDRJLTbVKfsDz44IN93+WfR40a5Y477jj3/vvv+2+oiWG26KKLTiCpCy64wO28887+52IOyck1OfUkf0vSl6eeesqPV4y3559/vmUfRCu33XbbBHVLDCTWP/rRj7wexKz6/PPPfV1insnpL0ntyjdXKH+XjROKd955p1tzzTVVf2PatUBVeb/MvOyG0KMsBCAAgUwJYGRlGvj6DdvqOSeHDX2MrPrpu1WPrTQvdeeg+zSiHjaKkD3MsJYpDYGBEcDIGhg3SkGgJYGQRUC7eYmRFSbCXowsOaUjplLjZJRcAdfqdE6zuSJXo4mJ0d/4OPPMM93ee+/tOy0G1SWXXNJnAM2Ggvzit7/97QQnisT0WH/99f31Z5LEROh/Fdtyyy3n+yuGgJwmko335iQnRMRAePbZZ735I6ZaK9OgG105gSOa7XR9mhhmYnhIkivfhHlIEmNB6pNTS2KWyPVtSy65ZJ8q5cpBMajEXJOr7+SKuMYJJ8nYbA7Jv4vZJMZV/3gdc8wx7uijj/Z1iznSMKV67X8ng6q5jmbD64orrvBXATZSNyPrtNNOG396SU7wyUm1/unQQw/1WpLUyrjsZmQNGzbMSb/E5BFT5jvf+c4EbTzyyCM+vmJmHXnkkU7YNaeGkSU/k3rEcBTjqDk1/z2KCXzSSSf1+b3MraI5OfkoxpX8Dci1hq2SnCzrf/qs24ks0bKYfe3SueeeO/7KR+mrjLddeumll5ycCpMkJ7PEtNMk7Vqgqbt/Xl52Q+hRFgIQgECmBDCyMg18/YZt9ZyTw4Y+Rlb99N2qx1aal7pz0H0aUQ8bRcgeZljLlIbAwAhgZA2MG6Ug0JJAyCKg3bzEyAoTYScjS06NyKkQ2ZSXTXdJ7U5Aye/ETJJvNU0xxRT+e1byraZWSU7MSLtimohW5DRTIzUbCmJGiTnQ6vSSmENy8kVMjv4neP7+9797k0qSnMSSkzKtklzx1zglIieRxBDRJjnZI6aCnBiTEyut0mOPPeaWX355/ysxaMQQCUmXXnqp22677XwVnQwCOSkmJ8YkySk2+fZSIzWbQzIGMbrk1Fj/JKfH5CSc5Jer4hpmkKb/YlyKgdn/ysDmOhpXEIoxJ+Zb83emuhlZDTNRTg+J7lp9f00MNblaUOYXGee4ceP6mHadjCypU9qQb3DJ1YTrrbde2+GLWSOs5YrJxom/RuZmI0u+2SZmbKskprHoXv6/ccqske/nP/+5+93vfuf/Vcw/OTmlSd2MrF7qkitBZV6Qqw/lCsR2Sb6RJqcFJYkGhg8f3kv14/No1wJV5f0y87IbQvnzkAwAACAASURBVI+yEIAABDIlgJGVaeDrN2yr55wcNvQxsuqn71Y9ttK81J2D7tOIetgoQvYww1qmNAQGRgAja2DcKAWBlgRCFgHt5iVGVpgIm42sTjWJ2SHfMJIr+VpdLyffaRITQk4LdfqGlrTRbMT0P33TbCiIsSQGU7skhoKcxpJ25dq+iSee2Gc99thjnXyDSJKcypIr0tqlhgkip1pGjx6tgvnxxx/7006SOhlhzYaZGEtyNVxIkmvlpA4Z7xtvvNHSgJL6JRazzDKLE0Nhgw028N9uaqRmc2jTTTcdfx1kq37JSTW5VlCujRw5cqS662KCNk7wtbrmUDiKmSknmVrx6WRkiQHXOB3V6cpL6fSvf/1rd9hhh/n+i0EkRlEjdTKyGie+xJSRa/86XQvZfCpRriEcPHjw+DYaJpIYaWISt6un8a0wySdXcjYn0emYMWP8qan+1wb2EhiNkSVXSoqp+MEHH/T5DptcYyl/d2JI33HHHR2bFfNSTMTNNtvMn/jTJO1aoKm7f15edkPoURYCEIBApgQwsjINfP2GbfWck8OGPkZW/fTdqsdWmpe6c9B9GlEPG0XIHmZYy5SGwMAIYGQNjBulINCSQMgioN28xMgKE2GvRtbQoUO9AdXqSjXpwT/+8Q9/4kWSGAa/+MUv2nZMTrjIaSpJ/a9gazYU5GSVXI/XLklZ+aaQJLnGTK5rkyTf5ZHv88j3g8TEaRhcreqRk1QXX3yxzyNmnFwz2GuSq9vk5I0kMc4aV/D1L299ImullVby3w4TE04Mpk5p9dVX91cP9j8h1GwOSawkZu2SxP7+++/3J+7EwNAmMUS++93v+u8stbpaUa6X/MlPfuKrlRN966yzTp8mOhlZcrKpcSpJ9Cknu9oluYavUbdcPyjXEDZSJyOroRHtuOU7WXKqsJEaJpJoWrTdLsnVh/KNMzGBxIxspM8++8xrWpKYmfLtL23qxciSKyTPOussrxv55la7JNdZyve4OiU5JSdma6erN9uV164FWhbN+XnZDaFHWQhAAAKZEsDIyjTw9Ru21XNODhv6GFn103erHltpXurOQfdpRD1sFCF7mGEtUxoCAyOAkTUwbpSCQEsCIYuAdvMSIytMhM1G1l577TX++1ViHkgc5QTORRdd5K9Vk+8yyUkWuWquf5JNbzFNJIkpsMsuu7TtWPNJpv5X/zUbCi+88ML4b+y0qkyuKpPykuQqtsb1fWJWiGkx99xzOzGbOiW5Lk+u55Mkp19aXa/XrrycqmlciyhXvv3mN79pmbX5G1lrrLGGkxNaIUlMQDEDxZSQ75V1SnKVocRQTo41mxLdrutrrrMX86PbeOQklJhlcgpJTlFJbBpJTovJlX3yvSjRXH/jsVNfxYQUo0nSbbfdNsG30Jr7JSfullhiCf+j/lcydjKyxIS55ZZbug1xgt/3/5ZcrxwPP/xwd/zxx3tTVcbeSHLCq8FNeP7qV79S96lTH+RvXAwyuZKylyQ6lPm6U5LTkqK7DTfc0P3v//5vL9WOz6NdC1SV98vMy24IPcpCAAIQyJQARlamga/fsK2ec3LY0MfIqp++W/XYSvNSdw66TyPqYaMI2cMMa5nSEBgYAYysgXGjFARaEghZBLSblxhZYSLs9I2sRs3N31raeOONnVyf1j81G1lyUkQ2xNulXo0sMWvkJE+71M3Immeeebxp0imFGFmy8S/XLMr/77rrru7cc89t2ZScSBKDTK4/lI19+e5Up+vpukW0YWSJcThq1KiO2WMxsppP7Ml3toS7JDEPxcASw0a+4SXfl+qfejWyxLz8/ve/35bHQI2shjE6xxxz+BNjvSbRrlzJ2UixG1lnn322vz5Ukpwkk6saV155Zf+tOzkJ1jituO2227rLLrvMm8xiNrdLzXGTE3diiGuSdi3Q1N0/Ly+7IfQoCwEIQCBTAhhZmQa+fsO2es7JYUMfI6t++m7VYyvNS9056D6NqIeNImQPM6xlSkNgYAQwsgbGjVIQaEkgZBHQbl5iZIWJsBcjS1rYYostxn/jppVhkOPVgsJFTqeJGdPt+1Hy3TC5sk2SnMiSk1kDTdZXC8r1jHIKqF3q1YDpNp5ll13WPfHEE27ppZf2/y/pjDPOcPvss4//5+ZTdc11VX214LBhw5x8y01MKTld1Omqyk4MeuXY7kSWXC0ofRBjtIirBVdYYQUn1yEussgi7sknn3RTTDFFy+E0vk3XzchqPrEo1yXKKTNN0q4Fmrr75+VlN4QeZSEAAQhkSgAjK9PA12/YVs85OWzoY2TVT9+temyleak7B92nEfWwUYTsYYa1TGkIDIwARtbAuFEKAi0JhCwC2s1LjKwwEfZqZD3//PNuscUWc19//bU/pfHAAw/0aVi+LyWnjeSbPmLaXH311W07Jqc55FSHJDEI5NRQIzVf8Xbaaae5/fffv20966+/vrvpppvcdNNN5085NQyGY4891n+zStLjjz/ulllmmbZ1yKZ9Y2xyYkeb5ATQnXfe6bp9L0h4bLrppr56+f+rrrpK29T4/GJiXHDBBX68YhbMNNNMLeuSWIjRJuaLXN93/fXXj89X9tWC0rBc59c4iSWsRU+rrrqq/16UxOHZZ59tOY5OfZUTd43vtskJolNPPbUtV/nulBgqkuSKzBVXXLGl7uQ6yuarD0888cTx33xrZ7b1EsxQI0vakO/QiWncy7V+rfrUqQ9ikn366aeu0zWZcvpQTtDJd6+6GVn33Xefv/5SknwHrfE33wsryaNdC3qtt1U+XnZD6FEWAhCAQKYEMLIyDXz9hm31nJPDhj5GVv30zbN9GjGrehQhe5hV95328ySAkZVn3Bl1QQRCFgHt5iVGVlgQezWypJXGlWLyz/LNoHXXXbdP4z/4wQ/81WtykuPll1/2G96t0tprr+3uuOMOfy2faKXxnSnJ22xkyTevHn744ZbX8ImBIRvpYnL0v+5QjBExSCTtt99+7vTTT2/ZD/mGUeNklBhmYpxpkxhmYpzJtWsffPBBn6vkmuuSUzRLLbWUe+aZZ/yPxczbeuute2ruyiuvdBtttJGbcsopff5LL73Ubbfddv6fTzrpJHfQQQe1rEeuctt+++397+TKPrm6r5GqMLLkG0/zzjuvv4pRDKXddtvNXx0pbIThEUcc0XIc3fq68MILe9NDrv6T6yibr/NrHq98H+u5557z1zyOGzfO66+ROn0jS0w3MSqlnwO5Iq/RhoWR9T//8z/jv8Um35ySb09pUqc+CA9hLSfk/vjHP7asVr631jCeuxlZYio2NNfte3etGtOuBRoO/fNabfBIvTls8oSwpiwEIACBZAhgZCUTytQHYvWck8MzDkZWGn8NVprn2T4NPfQyipA9zF7qJw8ErAlgZFkTpb6sCYQsAtrNS4ysMKlpjCwxYcSMkQ19MYDkirzmJN/O2mSTTfyP5LSUXKU36aST9slzzjnnuD322MP/TIwxOanRnJoNBfl5K6NGNtt/9KMfeTNN0o033ujkurPmJN/4kdNYsjkv+dZcc80+v5fvVcmmvpxuERNKxrbooouqYd52223jDT35XpV8t6pdeuqpp/xpNrkiTvr1hz/8we2+++5tv5clp62OPvpof/2enKqadtppfdVy0mq++eZzr7/+uhs0aJA/0SSnm5rTq6++6v7rv/7L55Fy8u/NJ7e6mUPNdfVqwPQCr3GCbf755/dGVuOEVCejo1tfxYA88MADffNSp2isf5J25ESWpFbX3HUysqSMXB3ZOEXX7aTgSy+95E989Tcqe+XY7mpB6YeYgWLcffLJJ964E0N4yJAhLdHLPNx8skwydeqDaGjMmDG+jGh1xhln7FOvzM3ydy+aktTNyGoY32JWisGoTdq1QFt/c35edkPoURYCEIBApgQwsjINfP2GbfWcg5Gli/0+Z7X/dq+uJnJrCVhpXtrNQfdavinmD9nDTJEHY4qfAEZW/DGihzUiELIIaDcvMbLChKExsqQlMarEsJIkJ5oaV4c1erHZZpu5v/3tb/5f5Zs7ciJDro175513/CmkCy+80Bthcirm6aefnuDUVrOhIOXlKjc5BSP/k2vy5BpAMbfk55LaXdMnvx86dKj78ssv/QkxOXElp1fktM5jjz3mTY1XXnnF1zGQ7/c0xium0uDBg/345HSWGE+d0nXXXecNjo8//thnk5M+8g0mueZulllm8T8X00nMN7mOUAwsSc1Glvx7s2koVzrKlX1iEokpJ1e6yfjk212SxNgRg6c5dTOHmvP2asD0osTzzjvP7brrrj7rDDPM4K+EFMPt/vvvb1u8W1/l93ICT8wjSeuss47ba6+9vNn3r3/9y5/ya2h2oYUW8gbnNNNM06e9bkaWsJQYNTQjxuhPf/pTbyBOPvnk7u233/bmzw033ODkb0pOLV1++eV92uiVYycjSyqUayXleklJomcxQ8XInX322d1HH33k/65kvGKoyd9Lr7FsvkJR/mYPPfRQf5WhGK9i2IqBJ39PYvgKw05Glpy6E0NMTr4dfPDB/lpJbdKuBdr6m/PzshtCj7IQgAAEMiWAkZVp4Os3bKvnnBw29DmRVT99t+qxleal7hx0n0bUw0YRsocZ1jKlITAwAhhZA+NGKQi0JBCyCGg3LzGywkSoNbLkqr+VVlrJNypXCd588819OiDf2BGjRk5jtUuywS3fa5LTXf1Ts6HwxBNPuB122ME9+eSTLauS0yFST+OkUv9MclJLTKKGGdSqEjG45Aq0iSaaaMAg5TSQbPLLSRm5uq5bknHtvffeHc2bRh1i3olBJvn79/H888/3ho18n6xVElNLDK3Gd6ma83Qzh5rz9mrAdBu3/F6MKzlJJAZgI8nJtH333bdt8V76KkaTXL/Y/9ttzZWKKSOamGeeeTrqrv83shqZxRTbaqutvFHYLbU6GdYrx25GlrQtsZcrAMVkapdaGU2d+iA6km+p3X777S2rFNNMrquUk2lykrKTkSV1iKEoqdt36tr1X7sWdItJp9/zshtCj7IQgAAEMiWAkZVp4Os3bKvnnBw29DGy6qfvVj220rzUnYPu04h62ChC9jDDWqY0BAZGACNrYNwoBYGWBEIWAe3mJUZWmAi1Rpa01vgWlvyznIKRkyr9k5wIkdNXDz74oD8ZJGaTnPKQE11iWvQ/EdMo3/9kjJzcOuWUU9wVV1zhT5jIaS45BbPjjjv6kyhi1nRKb7zxhjeq5KSMlJfNejFS5ApAMYHk1FZokusJxSSRJEafnCTrJclmv3CSk21iksipLjEL5ISX1CHXJwqvxrexWtUpYxITTU5wiQEjfKS8nM4Sk67Rr/5lezGHGmV6NWB6GbPkab6mT66elLGLYdcu9dpXOQV08cUX+2+IiVkoPOXqRTn1Jiek5CRY83exmtvrdiKrOa98m0pOW4lpJtfsySkluYZPTnuJnuSbbf1PKkr5Xjn2YmRJfcJNvmV10003+W/SiWEr45W/M4m/nBiTf25O3fogrIcPH+4NK7lmUJLoSf7mRU9Sn5yO7GZk7bLLLt5sW2WVVfzVlwNJ2rVgIG00yvCyG0KPshCAAATqQ8B0vp9yW7uBH/2+XV3UBIF+BKx0n8OGPkZWGn8+VpoXGjnoPo2oh40iZA8zrGVKQ2BgBDCyBsaNUhBoSSBkEShz85LwQcCKQMPc23PPPd2ZZ55pVS31QKB2BN5//30377zzug8++MBdeeWVbostthjQGMpcC3jZHVCIKAQBCECgdgRM53uMrNrFP9cOW+k+hw19jKw0/kqsNI+RlYYeehlFyB5mL/WTBwLWBDCyrIlSX9YEQhaBMjcvsw4Sgzcl8Oijj/qTafK9pBdffNHNNddcpvVTGQTqQuC4445zRx55pL86VE7GDfTazjLXAl5266Iu+gkBCEAgjIDpfI+RFRYMSpdGwEr3GFm6kO1z1vd1BchtRsBK8xhZZiGJvqKQPczoB0cHkySAkZVkWBlUVQRCFoEyNy+r4kO7aRLYZptt/JVz++23nzv99NPTHCSjgkAHAnK94XzzzeevdZTv58lJxYGmMtcCXnYHGiXKQQACEKgXAdP5HiOrXsHPuLdWusfI0okII0vHyzK3leYxsiyjEnddIXuYcY+M3qVKACMr1cgyrkoIhCwCZW5eVgKHRpMl8Oqrr7oLLrjATTXVVO7nP//5gE+iJAuIgSVP4JlnnnEjR450s8wyi/8WXkgqcy3gZTckUpSFAAQgUB8CpvM9RlZ9Ap95T610j5GlExJGlo6XZW4rzWNkWUYl7rpC9jDjHhm9S5UARlaqkWVclRAIWQTK3LysBA6NQgACEIBAVwJlrgW87HYNBxkgAAEIJEHAdL7HyEpCEzkMwkr3GFk6tWBk6XhZ5rbSPEaWZVTiritkDzPukdG7VAlgZKUaWcZVCYGQRaDMzctK4NAoBCAAAQh0JVDmWsDLbtdwkAECEIBAEgRM53uMrCQ0kcMgrHSPkaVTC0aWjpdlbivNY2RZRiXuukL2MOMeGb1LlQBGVqqRZVyVEAhZBMrcvKwEDo1CAAIQgEBXAmWuBbzsdg0HGSAAAQgkQcB0vsfISkITOQzCSvcYWTq1YGTpeFnmttI8RpZlVOKuK2QPM+6R0btUCWBkpRpZxlUJgZBFoMzNy0rg0CgEIAABCHQlUOZawMtu13CQAQIQgEASBEzne4ysJDSRwyCsdI+RpVMLRpaOl2VuK81jZFlGJe66QvYw4x4ZvUuVAEZWqpFlXJUQCFkEyty8rAQOjUIAAhCAQFcCZa4FvOx2DQcZIAABCCRBwHS+x8hKQhM5DMJK9xhZOrVgZOl4Wea20jxGlmVU4q4rZA8z7pHRu1QJYGSlGlnGVQmBkEWgzM3LSuDQKAQgAAEIdCVQ5lrAy27XcJABAhCAQBIETOd7jKwkNJHDIKx0j5GlUwtGlo6XZW4rzWNkWUYl7rpC9jDjHhm9S5UARlaqkWVclRAIWQTK3LysBA6NQgACEIBAVwJlrgW87HYNBxkgAAEIJEHAdL7HyEpCEzkMwkr3GFk6tWBk6XhZ5rbSPEaWZVTiritkDzPukdG7VAlgZKUaWcZVCYGQRaDMzctK4NAoBCAAAQh0JVDmWsDLbtdwkAECEIBAEgRM53uMrCQ0kcMgrHSPkaVTC0aWjpdlbivNY2RZRiXuukL2MOMeGb1LlQBGVqqRZVyVEAhZBMrcvKwEDo1CAAIQgEBXAmWuBbzsdg0HGSAAAQgkQcB0vsfISkITOQzCSvcYWTq1YGTpeFnmttI8RpZlVOKuK2QPM+6R0btUCWBkpRpZxlUJgZBFoMzNy0rg0CgEIAABCHQlUOZawMtu13CQAQIQgEASBEzne4ysJDSRwyCsdI+RpVMLRpaOl2VuK81jZFlGJe66QvYw4x4ZvUuVAEZWqpFlXJUQCFkEyty8rAQOjUIAAhCAQFcCZa4FvOx2DQcZIAABCCRBwHS+x8hKQhM5DMJK9xhZOrVgZOl4Wea20jxGlmVU4q4rZA8z7pHRu1QJYGSlGlnGVQmBkEWgzM3LSuDQKAQgAAEIdCVQ5lrAy27XcJABAhCAQBIETOd7jKwkNJHDIKx0j5GlUwtGlo6XZW4rzWNkWUYl7rpC9jDjHhm9S5UARlaqkWVclRAIWQTK3LysBA6NQgACEIBAVwJlrgW87HYNBxkgAAEIJEHAdL7HyEpCEzkMwkr3GFk6tWBk6XhZ5rbSPEaWZVTiritkDzPukdG7VAlgZKUaWcZVCYGQRaDMzctK4NAoBCAAAQh0JVDmWsDLbtdwkAECEIBAEgRM5/tIjawxiw4xi9WQZ8eY1UVF1RGw0j1Gli6GGFk6Xpa5rTSPkWUZlbjrCtnDjHtk9C5VAhhZqUaWcVVCIGQRKHPzshI4NAoBCEAAAl0JlLkW8LLbNRxkgAAEIJAEAdP5HiMrCU3kMAgr3WNk6dSCkaXjZZnbSvMYWZZRibuukD3MuEdG71IlgJGVamQZVyUEQhaBMjcvK4FDoxCAAAQg0JVAmWsBL7tdw0EGCEAAAkkQMJ3vMbKS0EQOg7DSPUaWTi0YWTpelrmtNI+RZRmVuOsK2cOMe2T0LlUCGFmpRpZxVUIgZBEoc/OyEjg02pHAn/70J7fbbrv5PGPHjnVzzz03xCAAgQwJlLkW8LKbocAYMgQgkCUB0/keIytLDdVx0Fa6x8jSRR8jS8fLMreV5jGyLKMSd10he5hxj4zepUoAIyvVyDKuSgiELAJlbl5WAieyRu+66y631lprtezVVFNN5WaeeWa39NJLu80228xtt912booppih0BCkYWauvvrq79957Paf111/f3XDDDYUyo3IIpEigzLWAl90UFcSYIAABCExIwHS+x8hCYjUhYKV7jCxdwDGydLwsc1tpHiPLMipx1xWyhxn3yOhdqgQwslKNLOOqhEDIIqDdvBy+5x2VjLGsRot+AO5kZPUf4+KLL+6uu+46N9988xU2/LobWS+99JJbYIEFxvOZZJJJ3GuvveZmn332wpg1V3zbbbe5dddd1//onnvucauttlop7dalkcMPP9wdf/zxTuLy1Vdf1aXbWfZTuxaEQOJlN4QeZSEAAQjUh4DpfI+RVZ/AZ95TK91jZOmEVPR7vK43eeW20rxQy0H3eamj9WhD9jDhB4EqCGBkVUGdNpMlELIIaDcvMbLCZNRsZO21115u7733Hl/hG2+84Z555hn3u9/9zklMJS255JLu8ccf90ZAEanuRtbRRx/tjjnmGDfllFO6L7/80n399dfupJNOcgcddFARuCaoEyOrM2aMrFJkaNKIdi0IaZSX3RB6lIUABCBQHwKm8z1GVn0Cn3lPrXSfw4a+5d4CRlZ1f3hWmsfIqi6GZbccsodZdl9pDwJCACMLHUDAkEDIIqDdvLR82DREYFZV0Q/AzUbWUUcd5cSI6Z8+/PBDt9RSS7lXXnnF/+rKK690W2yxhdkYmyuqu5Elp7HkVNawYcPcu+++62655RZ/NeMTTzxRCK/+lWJkdcaMkVWKDE0a0a4FIY3yshtCj7IQgAAE6kPAdL7HyKpP4DPvqZXuMbJ0Qir6PV7Xm7xyW2leqOWg+7zU0Xq0IXuY8INAFQQwsqqgTpvJEghZBLSblxhZYTLqxciSFs477zy36667+sb22GMPd9ZZZ4U13KZ0nY0s+S6WfB9L0rXXXuvee+89t/322/t/f+qpp/xptqITRlZnwhhZRSvQrn7tWhDSMi+7IfQoCwEIQKA+BEzne4ys+gQ+855a6T6HDX3LvQWMrOr+8Kw0LyPIQffVRSqelkP2MOMZBT3JiQBGVk7RZqyFEwhZBLSbl5YPm4WDGUADRT8A33zBBW69nXf2PfvlXnu5w5uuFmzu7sNPP+2+t+22/kc/XH1197czzphgNFMtscT4n11zzTVuxIgR7sEHH3RvvfWWm3baad0iiyziNtlkE7fPPvu4aaaZpiWN/kbWLLPM4k4//XR32WWXuRdffNFNNNFEbrHFFnM77LCD23333d3EE0/ckapcj3jqqae6G264wb388svuiy++8N+rWmONNdyee+7phg4dOoCotC4i/Tn33HOd9Plf//rX+LY+/vhjd/DBB7vf//73bdt64YUX3EILLeR/f9FFF7mf/OQnbfPOPffc/rtbu+yyixNekprLdxpQq7o///xz3++RI0e60aNHu/fff9/NPPPMbvnll3fbbrut22abbTz3Vkn6eckll/jvgkkfZNwyTvmWmswDM800k/9O15FHHunj1khyau3kk092N998s883aNAg/22vY4891s0///wdYzKQ/jbrqlPlY8eOdcK3OYVoqH+sHn74YffHP/7R3X333W7cuHH+6km+1dU6Itq1IOQPmZfdEHqUhQAEIFAfAqbzPUZWfQKfeU+tdJ/Dhr7l3kLR7/GZy7rj8K00L43koHu05PyexDzzzONRtNoTgBEEYiOAkRVbROhPrQmELALazUvLh80YoRf9ANyrkfXks8+6Vbbc0iPacK213BWnnz4BLjGyPv30U7f11lv7E0ntkmzuX3/99f66wv6p2XCQ6/h22mkn/02uVmmttdbyhsnUU0/d8vc33XST22qrrZxcjdguHXDAAe6UU05pa9T0qonPPvvMzTnnnP4UlnxnbPjw4b5ow+iR38kDUbtvi1VlZIm5t95667nnn3++7VDF9BNjcoYZZpggT7ORdcUVV7gNNtjA/fvf/54gnxiZcs3iKqus4m699VZ/NeUHH3wwQT4x0O655x43ZMiQlv0ZaH8HamSFaqjZyFpmmWXcgQce6M2rRhI9YGS1lp52Lej1b7VVPl52Q+hRFgLOuaMH2WE4+n27uqgJAv0ImM73GFnoqyYErHSfw4a+5d5C0e/xNZFfJd200rx0PgfdVxKkyBoN2cOMbCh0JxMCGFmZBJphlkMgZBHQbl5aPmyWQ0fXStEPwL0aWVfccIPb8dBDfef3+clP3O/+88/NoxEja/PNN3dXXXWV//Gyyy7rDjroIG9KyKksOVUlp7QkiWHxzDPPuDnmmKMPkGbDYcUVV3RygkVOBf30pz91s846q3vuuef8SZ5HH33UlxNDRL7Z1T/J78U0+fLLL93kk0/u9t13X7fRRhv5k2DyuxNPPNG9+uqrvtgvf/lLd/zxx+sC0y+3mDjyXSxJf//7333bksQIWX/99f0/33jjjd40apVCjSw5aSZm1AMPPOB2220338Sf//xnH4PmJP+VkZx+kiRGkny/q/Hts80228wbh2K6yYmpP/zhD95UkiRXJso1lP1PwDWMLDnlNuWUU7qPPvrIHXLIIT6/mDRyEu6EE07wcZBTW/LvctJLTmpJvpVWWsmfXJMYysk7SauuuqqTaxr7p5D+yvfK5BSbjOmcc87xfWv13bJFF13UTTrppL5pCw01jKzFF1/cjRkzxs03oW6QRAAAIABJREFU33z+dJ4wECb33XefO7TF31KQGBMprF0LQobNy24IPcpCACMLDdSHgOl8j5FVn8Bn3lMr3eewoW+5t1D0e3zmsu44fCvNSyM56B4tcSILDdSPAEZW/WJGjyMmgJFlF5yiH4B7MbLkBMlq22zjnhwzxg/sthEj3NDllptgkLe8+KK/OlDSD37wA39aarLJJuuT78wzz/QnliSJQSXX0jWn/idnfvvb33rDozmJASDm0O233+5/LNfTSXvNabnllvMnucSUEDNp7bXX7vP7d955xxsmzz77rDc1xFQTE2OgacMNN/SnzBpX7DXqEXZzzTWXP6UkV/RdeumlLZsINbIalWq+kfWzn/3MX7so6eijj3ZHHXVUn7598803PkZ/+ctf/M/FAGqYZI2MDSNL/n222WZz999/v/vud7/bp57TTjvNn0SSJGakmJhiVMn/NycxPeV0nKRW3xSz6K/mG1kWGmoYWTImMQ3lSsGGkThQreVSDiMrl0gzziQIcCIriTDmMAjTzU2MrBwkk8QYrXSfw4Y+RlYSkndWmhcaOeg+jaiHjSJkDzOsZUpDYGAEMLIGxo1SEGhJIGQR0G5eWj5sxhjOKo2sN995x43+v/9zxw0f7u7/z/V+m667rrvk5JNbovrxQQf5a+OmmGIK/z0rMXBaJbkSUE73iMklWhEDpJGajSwxEh555JGW1/7JaaoFF1zQX8v24x//2F199dXj65ATUWJSSZKTWHIKp1USU2HNNdf0v9p///2dGC4DSfINJRmr9EW+BXXMMcf0qaZhwEw11VTe0JpuuukmaKZsI0uugJTTcHLKSa54FNOv1ffG5KpEMabkRJPke/LJJ/v0vdnIku9s7brrrhOMTb4RJiew5OSVJNHIOuusM0E++dtfeOGF/c/lasaG4Sn/btXfXo0sKw01G1nNJ/UGorPcymjXghA+vOyG0KMsBDiRhQbqQ8B0vsfIqk/gM++ple5z2NC33Fso+j0+c1l3HL6V5qWRHHSPljiRhQbqRwAjq34xo8cRE8DIsgtO0Q/AzSeyOvV66qmmcrtuuaU77sADJzhlJeW++PJLN/sqq7jPP/98AmOpf71yKmm77bbzP5Yr+bb8z7e35N+bjSwxlsRgapfkmj45jTX99NN7o6VhxBx77LHjTxeJQSPfJmqXxDiRDfPFFlvMjR49ekCBk1NNYlZJkuv9FlpooT71yBV1K6ywgv/Z+eef76/v65/KNrJGjRrlvve97/luyCmoxompVgB23313JyaVJDHt5FRVIzWMLGEvp9zanTYSvnK13iyzzOLefPPNtpzl6sdPPvnEX7/3+9//fnw+q/72amRZaahhZM0///z+ukZS7wQwsnpnRU4IVE6AE1mVh4AO9EbAdHMTI6s36OSqnICV7nPY0MfIqlyuJh2w0rx0Jgfdm0CveSUhe5g1HzrdrykBjKyaBo5ux0kgZBHQbl5aPmzGSDMWI+u/llnGXfib37h5Bw9uiWnMiy+65f9zreCvf/1r94tf/KItTjmtJaepJPU/wdRsZHU7wSJljzvuOF+PmARiFkjaaqut/DeX5ASUfLOp1UmjRufk21sXX3yxzyMnhuSaQW2S71DJ95bke08PPvhgy+INI0dOgN15550T5CnbyDrjjDPcPvvs4/vRjfN55503/qTVHXfc4eREXSM1jCz5rta//vWvtuiGDh3qrx2Ub4dJe+3S4MGD3bhx45yYZ2efffb4bFb97dXIstJQw8jqf2pQq7Ec82vXghBGvOyG0KMsBDiRhQbqQ8B0vsfIqk/gM++ple5z2NC33Fso+j0+c1l3HL6V5qWRHHSPljiRhQbqRwAjq34xo8cRE8DIsgtO0Q/AzSeydhs2zO0+bJjv/Fdff+1e+/e/3dW33OIuve46J99L+s5cc7lRl17qZp1ppgkG+PfHHnPr7LCD/7mYUbvssktbCHLV3LTTTut/3//qv2YjS8wd+eZUuyTXz0l5SXIF4fLLL+//Wa6tk+9niYkwduzYjsGQ7281Tv689dZbE3y3qVsk5dtaSy65pM92+umnu/32269lETH3DjvsMH9N4iuvvOLmnXfePvnKNrJ+9atfuSOOOML3oRtn+faXfANM0siRI93mm28+vu8NI6v/t8H6Q1httdXcfffd579VJt/xapcaxo/oR7TQSFb97dXIstJQYzw77riju+CCC7rJid83EcDIQg4QqBEBTmTVKFh5d9V0cxMjK28x1Wj0VrrPYUMfI6tGwu7QVSvNSxM56D6NqIeNImQPM6xlSkNgYAQwsgbGjVIQaEkgZBHQbl5aPmzGGM4yjaxf7rWXO3zvvSfAcPE117jdDz/c//xHa67prmzxzalmI0tO8Oy8885tcfZqZMnJLfk+U7vUzciaZ5553D//+c+OYQ01sprL96ofMWXE1GpOVRpZ3TjHZmSF9FdrZIVqqJ0x16tWcs6nXQtCWPGyG0KPshDgRBYaqA8B0/keI6s+gc+8p1a6z2FD33Jvoej3+Mxl3XH4VpqXRnLQPVriRBYaqB8BjKz6xYweR0wAI8suOEU/ADefyGpnZMlotj3oIHf1rbf6gd3wpz+5NVdeuc8gc7xa8Ouvv/YnqzpdqddKCYsssoh79tln+/xKrkZsnD4bMWKE23777duKaMYZZ3TvvfeeP/XWfGpJCshpp3XXXdeXveeee5ychGqVrK7qK+tEllV/ezWyrK8WbBUru1kizZowstKMK6NKlAAnshINbHrDMt3cxMhKTyCJjshK9zls6GNkpfFHYKV5jKw09NDLKEL2MHupnzwQsCaAkWVNlPqyJhCyCGg3Ly0fNmMMWixG1v+98opbbpNNnJg3Ky61lLv7kkv64Priyy/d7Kus4j7//HPX7XtAl112mdt22219+SuuuMJtueWW4+tqvlrwtNNOc/vvv3/bsKy//vrupptuctNNN503dhrfwjr22GPdUUcd5cs9/vjjbplllmlbh5hKzz//vJNvWI0ePVolgZtvvtmtt956vsyBBx7oVu5n7vWvTL4N9Yf/nGZ74IEH+uR/88033WyzzeaLnHrqqe6AAw5o2Zc33njDzT777P53rcwRuVJRrsWT1MnIGjVqlPve977n851yyim+/+3SHnvs4c455xz/a2l/1llnHZ+1LCPLqr9ynaKciJNvoX311Vdtx2ylIU5kqf6k+mTWrgUDb8k5XnZD6FEWApzIQgP1IWA632Nk1SfwmffUSvcYWTohFf0er+tNXrmtNC/UctB9XupoPdqQPUz4QaAKAhhZVVCnzWQJhCwC2s1LjKwwGfV6Ikta2fHnP3dX3Hijb/B/zz7brT10aJ/Gf3zQQe7WW291U0wxhXv55ZfdnHPO2bJz8p2kO+64w0022WROtNIwcCRzs5El37x6+OGH/Xel+ie5MlBOMIkZsfHGG7trrrlmfBYxjFZddVX/7/LNKvl2VaskRs8aa6zhfyWGmRhnmrTddtu5Sy+91E066aTu9ddf7/p9LTGBhIl8b2zvvfd2cjViI3377bdu0KBB7sMPP3RiDl100UUtuyJjaZhcrYws+Q5V4xSWnM4S1q3Sp59+6uaYYw73wQcfuKWXXto99thj443A5vzvv/++v97xnXfecUsttZR78skn+1RXlpFl1d/jjz/eyaksSaIdMbRaJSsNYWRp/qL65tWuBQNvCSMrhB1lIeAJcCILIdSEgOnmJkZWTaJON610n8OGvuXeAkZWdX97VpqXEeSg++oiFU/LIXuY8YyCnuREACMrp2gPYKyyAf3QQw/5/8nGuvzv7bff9jXtsMMO7sILL+xaq+TZaaeduuaTDBdccIHbcccde8rbKdNbb73lN/Gvvvpq98orr/is8803n9tkk038ZvjMM88c3EarCkIWAe3mpeXDZiEwAist+gFYY2SN/r//cyttvrkT02W15Zd3t/TT/S0vvui1JUlOS1177bXe5GlOcrJHTvhIklNZl/Q72dVsZEmek046yR100EF96hAD4kc/+pG75ZZb/M9vvPHG8SejGhmXW245fxpLzDLJt+aaa/ap49133/WGzz/+8Q9vZjzzzDNu0UUX7TlaYjiJEfTJJ5/4E1Bi4PWSpB933323/9uTKwknn3zy8cVkTDfccIObeuqpfX/mn3/+PlVKX8Wgk9NnkloZWc1XFJ599tlu9913b9utn/3sZ/70l6RW3+2SOItRJWadJIndbrvt1qe+sowsadSiv+eff77nJum5555zCy+8cFs+FhrCyOrlr6J1Hu1aMPCWMLJC2FEWAp4ARhZCqAkB081NjKyaRJ1uWuk+hw19y72Fot/jUXZ7AlaalxZy0D1a4htZaKB+BDCy6hezUnvc6kRIowOxGlkPPvigNxXkpEirJCdDxOBaaaWVzFliZNkhLfoBWGNkyai22n9/d92dd/oB3jZihBu63HLjBzvVEku4zTbbzP3tb3/zP1thhRW8+SDX98mJHrlSUAxdMUjEyHn66acnOLXVbGRJ+UceecSbKfI/udJOrgEUc0t+LmnTTTd1V1111QTA5fdDhw51X375pT8hJieuNtxwQ28SyemjE044Yby5+8tf/tLJSR1NErN555139kXOPPNMt+eee/ZUXK4WbFyXKP2W/jfS9ddf7/soSb69JdcjyrWIH330kf/2lZwYE/NMTHT5XysjS9jONddcbty4cf7EmlwbKGZN4+SRlJ922ml9G43TWA2TW654FANd8oghJn2VK/0krb766u6uu+6a4NRWmUaWRX/l22RDhgzxY5JrISX2Mt7GHC/mYYOVhYYwsnr6s2iZCSNr4OwoCYHSCWBklY6cBgdGwHRzEyNrYEGgVOkErHSfw4Y+Rlbp8iykQSvNS+dy0H0hQahZpSF7mDUbKt1NhABGViKBLGoYzUaWbDDLyY3GaZCBGFnybZ3Bgwe37a5sfs4wwwwDHs7YsWOdXMsm392REzFyoqWxQX7ddde5k08+2V+rJVe6Pfroo07as0whi4B289LyYdOSgVVdsRlZjzzzjFtjm2388NYZOtRde/bZ44cqRpZcAbf11lv701jtkuhNTBu5qq5/ajaynnjiCX/isf91do0yci2g1NMwZvrXJSe1hg0b5q/ra5fEVJJTSZ3M6lZl11prrfHGjpysany3qlvcX3vtNTfPPPN4M0+M5obp1yi3zz77uDPOOKNlNd/5zneczB1yXaDU08rIkoLNZln/iuTKQjGfGkkMKzk9JwZhuyScxfSeccYZJ8hSppEljYf2V+rYfPPNW5qf8juZO5vnw1ANYWR1+4to/3vtWjDwljiRFcKOshDwBDCyEEJNCJhubmJk1STqdNNK9zls6FvuLRT9Ho+y2xOw0ry0kIPu0RInstBA/QhgZNUvZqX2WE5GrLjiiv5/smEtJxga134NxMiS7wfJFX9Fpe233378N3auuOIKJyctmpP8TDb4JfXaf01fMbI0tDrnLfoBWHsiS3q70e67u9vvv993fNRll7kVlljC/7MYWY0k36yS01dyMlCuuBSzSU5miXmz7777ummmmablwJuNLDEV5OSWnCoSzYqJIQbQYost5k8OybV57b5x1KhcrgUVo0qu7JPyX3zxhT+BIyeM9tprL39qS5vk+1zy9yt9EZNHrgrUJGnz/vvv99cKignW/4pPuW5RrgUUA09OlImBJSe3DjnkEG8m9WKOXHnlle7cc891YgbKNYpiXEvqb2TJzz7//HN/beDIkSPd6NGj/UmtmWaayZvh8h2wbbbZpq3RV7aRFdpfKS8aEE3IeOV6QTE6JZaS+htZ8rMQDfUSK412csqLkZVTtBlr7QlgZNU+hLkMwHRz09DIWnL+ec1CcMUJ//+ZzyINeXaMRTXUUTEBK93nsKGPkVWxWI2at9K8dCcH3Rthr3U1IXuYtR44na8tAYys2oaumo7HbGTJVYJytdg333zjfvjDH7qbbrqpJSS5VktOd0w88cT+dIds7lulkEWgzM1Lq/HWuZ5Pn3nGrPvNRpZZpVQEAQhkSaDMtYCX3SwlxqAtCWBkWdKkrgIJmM73GFkFRoqqLQlY6T6HDX2MLEvlVVeXleYxsqqLYdkth+xhlt1X2oOAEMDIQgcqAjEbWXKyYo899vDjufzyy8efvOo/QPmdnLSQJKc/5HSLVQpZBMrcvLQab53rwciqc/ToOwTSJVDmWsDLbro6YmQlEcDIKgk0zYQSMJ3vMbJCw0H5kghY6R4jSxewom9W0fUmr9xWmhdqOeg+L3W0Hm3IHib8IFAFAYysKqjXuM2YjazmawXHjRvX9qSV/K7xnS4pM2LECLOIhCwCZW5emg24xhVhZNU4eHQdAgkTKHMt4GU3YSExtHIIYGSVw5lWggmYzvcYWcHxoIJyCFjpPocNfU5klaPJolux0jxGVtGRiqf+kD3MeEZBT3IigJGVU7QNxhpqZK255pr+2yzy7aDpp5/eLbjggm6dddbx3+yRawFD0gorrOAeffRRN2jQIPfee+91rEryyPdw5NtfDz30UEizfcqGLAJlbl6aDbjGFWFk1Th4dB0CCRMocy3gZTdhITG0cghgZJXDmVaCCZjO9xhZwfGggnIIWOkeI0sXL05k6XhZ5rbSPEaWZVTiritkDzPukdG7VAlgZKUa2YLGFWpktevWlFNO6U499dTxVwMOpPvyrat///vfbvHFF3fPdPn+0RJLLOFGjx7tT23JCa1ek0zynZLUtdJKK/ksY8eOdXPPPXevVbsyNy977lTCGTGyEg4uQ4NAjQmUuRaYvuwabmy6o9+vcQTpelYEMLKyCnedBxvrfL/k/POaYb3ihK/M6hry7BizuqioOgJWusfI0sUQI0vHyzK3lealTzno3pJ9XevCyKpr5PLtN0ZWvrEf0MgHamQdd9xxbrPNNnOrrLKKm2eeeXzbL730kvvrX//qRo4c6b799lv/s5BvVk0zzTTuk08+cSuvvLJ74IEHOo5P8shJrGmnndZ9+OGHPbOYaKKJes6LkdUzqkoyYmRVgp1GIQCBLgQwspzDyOLPpDYEMLJqE6rcO2q6uWn4Hy5gZOWuzGLHb6X7HDb0uVqwWC2WVbuV5jGyyopY9e1gZFUfA3qgI4CRpeOVfe6BGFnvv/++v0awnQl03XXXeZPryy+/dFNPPbV78cUX237fqlMAJplkEvfNN9+41Vdf3Y0aNapjrNZYYw13zz33OCnz1Ve9/9d7GFnp/AlgZKUTS0YCgZQIYGRhZKWk5+THgpGVfIhTGaDp5iZGViqySH4cVrrHyNJJhRNZOl6Wua00j5FlGZW468LIijs+9G5CAhhZqEJFYCBGVi8N/OpXv3JHHHGEzyr/fNhhh/VSrE+eMk5kcbWgOizRFsDIijY0dAwCWRPAyMLIyvoPoG6Dx8iqW8Sy7a/p5iZGVrY6qtvArXSPkaWLPEaWjpdlbivNY2RZRiXuujCy4o4PvcPIQgOBBIoyst544w1/CkuuGFx33XXdLbfcou5pGd/I6tapkEWgzM3LbuPI4fcYWTlEmTFCoH4EylwLTF92DTc2uVqwfrrNtscYWdmGvm4Dj3W+52rBuimpXv210j1Gli7uGFk6Xpa5rTSPkWUZlbjrCtnDjHtk9C5VApzISjWyBY2rKCNLujvrrLO6t956yy222GJu9OjR6hGssMIK7tFHH3WDBg1y7733XsfykueDDz5wK664ov9WllUKWQTK3Ly0Gm+d68HIqnP06DsE0iVQ5lpg+rKLkZWuKBlZewIYWaijJgRine8xsmoioJp200r3GFk6AWBk6XhZ5rbSPEaWZVTiritkDzPukdG7VAlgZKUa2YLGVaSRNdtss7k333xzwEbW9ttv7y666CI/8nHjxrX9zpb8bvDgwT6flBkxYoQZrZBFoMzNS7MB17gijKwaB4+uQyBhAmWuBaYvuxhZCauSobUlgJGFOGpCINb5HiOrJgKqaTetdI+RpRMARpaOl2VuK81jZFlGJe66QvYw4x4ZvUuVAEZWqpEtaFxFGVliYM0+++z+asF11lnH3XrrreoRnHPOOW6PPfbw5S6//HI3bNiwlnXI77bZZhv/u7PPPtvtvvvu6rbaFQhZBMrcvDQbcI0rwsiqcfDoOgQSJlDmWmD6souRlbAqGRpGFhqoO4FY53uMrLorK+7+W+keI0sXZ4wsHS/L3Faax8iyjErcdYXsYcY9MnqXKgGMrFQjW9C4ijKyjj/+eHf44Yf7Xh933HHj/1kzjNdff93NNddc7ptvvnE//OEP3U033dSy+HrrreduvvlmN/HEE7vXXnut7cktTduNvCGLwEsvveQ+//xzN9FEE7lFFlnE/z+pOAIYWcWxpWYIQGBgBOQ/5njuuef8f9Qx+eSTuwUWWGBgFfVYyvRlFyOrR+pkS4oAJ7KSCmfKg4l1vsfISll11Y/NSvcYWbpYYmTpeFnmttK89CkH3Vuyr2tdIXuYdR0z/a43AYysesev9N5rjSzJ/+6777pll122bV+vu+46t/nmm7svvvjCTTXVVE7+a3QxpPqnNddc0919993+xy+//LKbb775JsjTfL3glVde6bbYYos+eeRnW221lf/ZDjvs4C688EJThiGLgJT98MMPfX/mnXdeN80005j2jcr6EsDIQhEQgEBsBD777DO/vkmadtpp3TzzzFNoF01fdjGyCo0VlUdKACMr0sDQrf4EYp3vMbLQapEErHSfw4b+8D3vMAsFRpYZSnVFVpqXhnPQvRpwggVC9jATxMGQakAAI6sGQaqyi/fee6974YUXxnfhrbfecocccoj/91VXXdXtuuuufbq344479vn3u+66y6211lpulVVWcRtttJFbeumlnXwLS5KcQBo5cqT/n/zX55KGDx/u9t5775ZD7sXIGjt2rFt++eX9t7YmnXRSd/DBB7sNN9zQ1yeG2UknneS++uorN+uss7rHHnvMzT333KZ4QxaBDz74wJ8QkyQbmNI3TmWZhqdPZRhZxbGlZghAYGAE3njjDff222/7wnLd7kwzzTSwinosZfqyG6mRNWbRIT3S6J5tyLNjumciR14EMLLyineNRxvrfI+RVWNR1aDrVrrPYUMfI6sGgu6hi1aal6Zy0H0PSJPPErKHmTwcBhglAYysKMMST6fEmBoxYkTPHWoYUo0CDSOrWwVTTz21O+WUUzp+r6oXI0vaefDBB90mm2zi5KrBVmmOOeZwV199tVt55ZW7dUv9+5BFQK5EfP7558ebemJmySamsMHQUoeiawGMrK6IyAABCJRE4Ouvv3bvvfeeEyOrkeRaQblesMhk+rKLkVVkqKg7VgIYWbFGhn71IxDrfI+RhVSLJGCl+xw29DGyilRieXVbaV56nIPuy4tMvC2F7GHGOyp6ljIBjKyUo2swtlAjS67Ku/baa93999/vHnnkETdu3Dgnp7rkVNSMM87oFl98cbf22mv7k12Nk1rtut2rkSXlpY3TTjvNG1ZyvaGk+eef3/34xz92Bx54oJt55pkN6ExYRegiILzkVFazISgm1iSTTFJIf3Ou9JuPPjIb/sTTTmtWFxVBAAJ5EZD5Xoys5iSnhmeZZZbCQZi+7GJkFR4vGoiQAEZWhEGhS60IxDrfY2Sh1yIJWOk+hw19jKwilVhe3Vaalx7noPvyIhNvS6F7mPGOjJ6lSgAjK9XIMq5KCFgsAq3MrEoGk3ijX/7rX2YjnGzwYLO6qAgCEMibwKBBg9ycc85Zyklc05ddjKy8hZvr6CM1srhSM1dBth93rPM9RhZaLZKAle5z2NDHyCpSieXVbaV5jKzyYlZ1SxZ7mFWPgfbzIoCRlVe8GW3BBKwWAblm8KOPPnLy3awvvvhigv9av+BhZFH9R6NGmY1z2jXWMKuLiiBQFAE0XxTZ8Hrl1K1cIzvDDDO4KaecMrzCHmswfdnFyOqROtmSIoCRlVQ4Ux5MrPM9RlbKqqt+bFa6x8jSxXKfs76vK0BuMwJWmsfIMgtJ9BVZ7WFGP1A6mAwBjKxkQslAYiDAIhBDFHrrA/+1cm+cyJUOATSfTiytRmL6souRZRUW6qkTAYysOkUr677GOt9jZGUty8IHb6V7jCxdqDCydLwsc1tpHiPLMipx18UeZtzxoXcTEsDIQhUQMCTAImAIs+Cq2NQvGDDVR0cAzUcXkso7ZPqyi5FVeTzpQAUEMLIqgE6TAyEQ63yPkTWQaFKmVwJWusfI6pX4/8+HkaXjZZnbSvMYWZZRibsu9jDjjg+9w8hCAxAolACLQKF4TStnU98UJ5U1E2BjEz3UhIDpyy5GVk2iTjdNCTDfm+KksuIIxDrfY2QVF3Nqds5K9xhZOjVhZOl4Wea20jxGlmVU4q6LPcy440PvMLLQAAQKJcAiUChe08oxskxxUhlGFhqoIQHTl12MrBoqgC4HE8DICkZIBeUQiHW+x8gqJ/65tmKle4wsnYIwsnS8LHNbaR4jyzIqcdfFHmbc8aF3GFloAAKFEmARKBSvaeUYWaY4qQwjCw3UkIDpyy5GVg0VQJeDCWBkBSOkgnIIxDrfY2SVE/9cW7HSPUaWTkEYWTpelrmtNI+RZRmVuOtiDzPu+NA7jCw0AIFCCbAIFIrXtHKMLFOcVIaRhQZqSMD0ZRcjq4YKoMvBBDCyghFSQTkEYp3vYzWy7lhzuFlg2NQ3Q6muyEr3GFk69Ghex8syt5XmMbIsoxJ3Xexhxh0feoeRhQYgUCgBFoFC8ZpWjpFlipPKMLLQQA0JmL7sYmTVUAF0OZgARlYwQiooh0Cs8z1GVjnxz7UVK91bGllLjljSLBxP7/C0WV3D97zDrC6MLDOU6oqsNI+RpUZf2wLsYdY2dNl2fKJvv/3222xHz8AhYEyARcAYaIHVYWQVCDf3qtnYzF0BtRm/6csuRlZt4k5HDQkw3xvCpKoiCcQ632NkFRl16ralmjUFAAAgAElEQVTSPUaWTksYWTpelrmtNI+RZRmVuOtiDzPu+NC7CQlgZKEKCBgSYBEwhFlwVRhZBQPOuXo2NnOOfq3Gbvqyi5FVq9jTWSMCzPdGIKmmaAKxzvcYWUVHPu/6rXSPkaXTEUaWjpdlbivNY2RZRiXuutjDjDs+9A4jCw1AoFACLAKF4jWtHCPLFCeVNRNgYxM91ISA6csuRlZNok43TQkw35vipLLiCMQ632NkFRdzanbOSvcYWTo1YWTpeFnmttI8RpZlVOKuiz3MuOND7zCy0AAECiXAIlAoXtPKMbJMcVIZRhYaqCEB05ddjKwaKoAuBxPAyApGSAXlEIh1vsfIKif+ubZipXuMLJ2CMLJ0vCxzW2keI8syKnHXxR5m3PGhdxhZaAAChRJgESgUr2nlGFmmOKkMIwsN1JCA6csuRlYNFUCXgwlgZAUjpIJyCMQ632NklRP/XFux0j1Glk5BGFk6Xpa5rTSPkWUZlbjrYg8z7vjQO4wsNACBQgmwCBSK17RyjCxTnFSGkYUGakjA9GUXI6uGCqDLwQQwsoIRUkE5BGKd7zGyyol/rq1Y6R4jS6cgjCwdL8vcVprHyLKMStx1sYcZd3zoHUYWGoBAoQRYBArFa1o5RpYpTirDyEIDNSRg+rKLkVVDBdDlYAIYWcEIqaAcArHO9xhZ5cQ/11asdI+RpVMQRpaOl2VuK81jZFlGJe662MOMOz70DiMLDUCgUAIsAoXiNa0cI8sUJ5VhZKGBGhIwfdnFyKqhAuhyMAGMrGCEVFAOgVjne4yscuKfaytWusfI0ikII0vHyzK3leYxsiyjEndd7GHGHR96h5GFBiBQKAEWgULxmlaOkWWKk8owstBADQmYvuxiZNVQAXQ5mABGVjBCKiiHQKzzPUZWOfHPtRUr3WNk6RSEkaXjZZnbSvMYWZZRibsu9jDjjg+9w8hCAxAolACLQKF4TSvHyDLFSWUYWWighgRMX3YxsmqoALocTAAjKxghFZRDINb5HiOrnPjn2oqV7jGydArCyNLxssxtpXmMLMuoxF0Xe5hxx4feYWShAQgUSoBFoFC8ppVjZJnipDKMLDRQQwKmL7sYWTVUAF0OJoCRFYyQCsohEOt8j5FVTvxzbcVK9xhZOgVhZOl4Wea20jxGlmVU4q6LPcy440PvMLLQAAQKJcAiUChe08oxskxxUhlGFhqoIQHTl11DIyvWjc0hz46pYZTpcqEEMLIKxUvldgSY73Us71hzuK5Ah9xs6puhVFdkpXuMLB16NK/jZZnbSvMYWZZRibsu9jDjjg+9w8hCAxAolACLQKF4TSvHyDLFSWUYWWighgRMX3YxsmqoALocTAAjKxghFZRDgPlexxkjS8cr1txWusfI0kUYI0vHyzK3leYxsiyjEndd7GHGHR96h5GFBiBQKAEWgULxmlaOkWWKk8owstBADQmYvuxiZNVQAXQ5mABGVjBCKiiHAPO9jjNGlo5XrLmtdI+RpYswRpaOl2VuK81jZFlGJe662MOMOz70DiMLDUCgUAIsAoXiNa0cI8sUJ5VhZKGBGhIwfdnFyKqhAuhyMAGMrGCEVFAOAeZ7HWeMLB2vWHNb6R4jSxdhjCwdL8vcVprHyLKMStx1sYcZd3zoHUYWGoBAoQRYBArFa1o5RpYpTirDyEIDNSRg+rKLkVVDBdDlYAIYWcEIqaAcAsz3Os4YWTpesea20j1Gli7CGFk6Xpa5rTSPkWUZlbjrYg8z7vjQO4wsNACBQgmwCBSK1y05YkmzBq444SuzuoY8O8asLipKgAAbmwkEMY8hmL7sYmTlIRpG2ZcA8z2KqAkB5ntdoDCydLxizW2le4wsXYQxsnS8LHNbaR4jyzIqcdfFHmbc8aF3GFloAAKFEmARKBQvRlaxeKndigAbm1YkqadgAqYvuxhZBUeL6qMkwHwfZVjo1IQEmO91qsDI0vGKNbeV7jGydBHGyNLxssxtpXmMLMuoxF0Xe5hxx4feYWShAQgUSoBFoFC8GFnF4qV2KwJsbFqRpJ6CCZi+7GJkFRwtqo+SAPN9lGGhUxhZoRrAyAolGEd5q+ccjCxdPDGydLwsc1tpHiPLMipx18UeZtzxoXcYWWgAAoUSYBEoFC9GVrF4qd2KABubViSpp2ACpi+7GFkFR4vqoyTAfB9lWOgURlaoBjCyQgnGUd7qOQcjSxdPjCwdL8vcVprHyLKMStx1sYcZd3zoHUYWGoBAoQRYBArFi5FVLF5qtyLAxqYVSeopmIDpyy5GVsHRovooCTDfRxkWOoWRFaoBjKxQgnGUt3rOwcjSxRMjS8fLMreV5jGyLKMSd13sYcYdH3qHkYUGIFAoARaBQvFiZBWLl9qtCLCxaUWSegomYPqyi5FVcLSoPkoCzPdRhoVOYWSFagAjK5RgHOWtnnMwsnTxxMjS8bLMbaV5jCzLqMRdF3uYcceH3mFkoQEIFEqARaBQvBhZxeKldisCbGxakaSeggmYvuxiZBUcLaqPkgDzfZRhoVMYWaEawMgKJRhHeavnHIwsXTwxsnS8LHNbaR4jyzIqcdfFHmbc8aF3GFloAAKFEmARKBQvRlaxeKndigAbm1YkqadgAqYvuxhZBUeL6qMkwHwfZVjoFEZWqAYwskIJxlHe6jkHI0sXT4wsHS/L3Faax8iyjErcdbGHGXd86B1GFhqAQKEEWAQKxYuRVSxearciwMamFUnqKZiA6csuRlbB0aL6KAkw30cZFjqFkRWqAYysUIJxlLd6zsHI0sUTI0vHyzK3leYxsiyjEndd7GHGHR96h5GFBiBQKAEWgULxYmQVi5farQiwsWlFknoKJmD6souRVXC0qD5KAsz3UYaFTmFkhWoAIyuUYBzlrZ5zMLJ08cTI0vGyzG2leYwsy6jEXRd7mHHHh95hZKEBCBRKgEWgULwYWcXipXYrAmxsWpGknoIJmL7sYmQVHC2qj5IA832UYaFTGFmhGsDICiUYR3mr5xyMLF08MbJ0vCxzW2keI8syKnHXxR5m3PGhdxhZaAAChRJgESgUL0ZWsXip3YoAG5tWJKmnYAKmL7sYWQVHi+qjJMB8H2VY6BRGVqgGMLJCCcZR3uo5ByNLF0+MLB0vy9xWmsfIsoxK3HWxhxl3fOgdRhYagEChBFgECsWLkVUsXmq3ImC4sbnk/PNa9cpdccJXZnUNeXaMWV1UVB0B05ddjKzqAknL1REwnO/d0e+bjWPMokPM6mK+N0NZaUXM9zr8GFk6XrHmttI9RpYuwhhZOl6Wua00j5FlGZW462IPM+740DuMLDQAgUIJsAgUihcjq1i81G5FwHBjEyPLKijU04qA6csuRhYiy5GA4XyPkZWjgMobM/O9jjVGlo5XrLmtdI+RpYswRpaOl2VuK81jZFlGJe662MOMOz70DiMLDUCgUAIsAoXixcgqFi+1WxEw3NjEyLIKCvVgZIVrgJMp4QyTq8FwvsfISk4dUQ3IdHMzg/9wASMrKvkOuDNWusfI0oUAI0vHyzK3leYxsiyjEndd7GHGHR96h5GFBiBQKAEWgULxYmQVi5farQgYbmxiZFkFhXowssI1gJEVzjC5Ggzne4ys5NQR1YBMNzcxslSxZVNfhcs0s5XuMbJ0YUHzOl6Wua00j5FlGZW462IPM+740DuMLDQAgUIJsAgUihcjq1i81G5FwHBjEyPLKijUg5EVrgGMrHCGydVgON9jZCWnjqgGZLq5iZGlii2b+ipcppmtdI+RpQsLmtfxssxtpXmMLMuoxF0Xe5hxx4feYWShAQgUSoBFoFC8GFnF4qV2KwKGG5sYWVZBoR6MrHANcNVUOMPkajCc7zGyklNHVAMy3dzEyFLFlk19FS7TzFa6x8jShQXN63hZ5rbSPEaWZVTiros9zLjjQ+8wstAABAolwCJQKF6MrGLxUrsVAcONTYwsq6BQD0ZWuAYwssIZJleD4XyPkZWcOqIakOnmJkaWKrZs6qtwmWa20j1Gli4saF7HyzK3leYxsiyjEndd7GHGHR96h5GFBiBQKAEWgULxYmQVi5farQgYbmxiZFkFhXowssI1gJEVzjC5Ggzne4ys5NQR1YBMNzcxslSxZVNfhcs0s5XuMbJ0YUHzOl6Wua00j5FlGZW462IPM+740DuMLDQAgUIJsAgUihcjq1i81G5FwHBjEyPLKijUg5EVrgGMrHCGydVgON9jZCWnjqgGZLq5iZGlii2b+ipcppmtdI+RpQsLmtfxssxtpXmMLMuoxF0Xe5hxx4feYWShAQgUSoBFoFC8GFnF4qV2KwKGG5sYWVZBoR6MrHANYGSFM0yuBsP5HiMrOXVENSDTzU2MLFVs2dRX4TLNbKV7jCxdWNC8jpdlbivNY2RZRiXuutjDjDs+9A4jCw1AoFACLAKF4sXIKhYvtVsRMNzYxMiyCgr1YGSFawAjK5xhcjUYzvcYWcmpI6oBmW5uYmSpYsumvgqXaWYr3WNk6cKC5nW8LHNbaR4jyzIqcdfFHmbc8aF3GFloAAKFEmARKBQvRlaxeKndioDhxiZGllVQqAcjK1wDGFnhDJOrwXC+x8hKTh1RDch0cxMjSxVbNvVVuEwzW+keI0sXFjSv42WZ20rzGFmWUYm7LvYw444PvcPIQgMQKJQAi0ALvIabPGzqFypfKrcigOatSFJPwQRMX3bZ2FRFi00eFa54MxvO9xhZ8YY5hZ4x3+uiyH+4oOMVa24r3WNk6SLMM46Ol2VuK81jZFlGJe662MOMOz70DiMLDUCgUAIsAhhZhQqMyutBwHBjE/O2HiGvay9NX3YxslQyYJNHhSvezBnM92zoxys/Tc+Y7zW0nEP3Ol6x5rbSPUaWLsI84+h4Wea20nwuRtbwPe8ww19X3bOHaSYBKiqJwETffvvttyW1RTMQSJ4AiwBGVvIiZ4DdCWSwsTnk2THdOZAjegKmL7sYWap41/VlVzXIHDJnMN+zoZ+GkJnvdXFE9zpesea20j1Gli7CPOPoeFnmttI8RpY+KnXVPXuY+lhToloCGFnV8qf1xAiwCORpZPGym9gfcuhwMtjYxMgKFUkc5U1fdjGyVEGt68uuapA5ZM5gvucZJw0hM9/r4ojudbxizW2le4wsXYR5xtHxssxtpXmMLH1U6qp79jD1saZEtQQwsqrlT+uJEWARwMgKlXRdH4BCx51U+Qw2NjGy0lCs6csuRpZKFMz1KlzxZs5gvmdDP175aXrGfK+hxdWCOlrx5rbSPUaWLsY84+h4Wea20jxGlj4qddU9e5j6WFOiWgIYWdXyp/XECLAIYGSFSrquD0Ch406qfAYbmxhZaSjW9GUXI0slCuZ6Fa54M2cw32NkxSs/Tc+Y7zW0MLJ0tOLNbaV7jCxdjHnG0fGyzG2leYwsfVTqqnv2MPWxpkS1BDCyquVP64kRYBHAyAqVdF0fgELHnVT5DDY2MbLSUKzpyy5GlkoUzPUqXPFmzmC+x8iKV36anjHfa2hhZOloxZvbSvcYWboY84yj42WZ20rzGFn6qNRV9+xh6mNNiWoJYGRVy5/WEyPAIoCRFSrpuj4AhY47qfIZbGxiZKWhWNOXXYwslSiY61W44s2cwXyPkRWv/DQ9Y77X0MLI0tGKN7eV7jGydDHmGUfHyzK3leYxsvRRqavu2cPUx5oS1RLAyKqWP60nRoBFACMrVNJ1fQAKHXdS5TPY2MTISkOxpi+7GFkqUTDXq3DFmzmD+R4jK175aXrGfK+hhZGloxVvbivdY2TpYswzjo6XZW4rzWNk6aNSV92zh6mPNSWqJYCRVS1/Wk+MAIsARlaopOv6ABQ67qTKZ7CxiZGVhmJNX3YxslSiYK5X4Yo3cwbzPUZWvPLT9Iz5XkMLI0tHK97cVrrHyNLFmGccHS/L3Faax8jSR6WuumcPUx9rSlRLACOrWv60nhgBFgGMrFBJ1/UBKHTcSZXPYGMTIysNxZq+7GJkqUTBXK/CFW/mDOZ7jKx45afpGfO9hhZGlo5WvLmtdI+RpYsxzzg6Xpa5rTSPkaWPSl11zx6mPtaUqJYARla1/Gk9MQIsAhhZoZKu6wNQ6LiTKp/BxiZGVhqKNX3ZxchSiYK5XoUr3swZzPcYWfHKT9Mz5nsNLYwsHa14c1vpHiNLF2OecXS8LHNbaR4jSx+VuuqePUx9rClRLQGMrGr503piBFgEMLJCJV3XB6DQcSdVPoONTYysNBRr+rKLkaUSBXO9Cle8mTOY7zGy4pWfpmfM9xpaGFk6WvHmttI9RpYuxjzj6HhZ5rbSPEaWPip11T17mPpYU6JaAhhZ1fKn9cQIsAhgZIVKuq4PQKHjTqp8BhubGFlpKNb0ZRcjSyUK5noVrngzZzDfY2TFKz9Nz5jvNbQwsnS04s1tpXuMLF2MecbR8bLMbaV5jCx9VOqqe/Yw9bGmRLUEMLKq5U/riRFgEcDICpV0XR+AQsedVPkMNjYxstJQrOnLLkaWShTM9Spc8WbOYL7HyIpXfpqeMd9raGFk6WjFm9tK9xhZuhjzjKPjZZnbSvMYWfqo1FX37GHqY02JaglgZFXLn9YTI8AigJEVKum6PgCFjjup8hlsbGJkpaFY05ddjCyVKJjrVbjizZzBfI+RFa/8ND1jvtfQwsjS0Yo3t5XuMbJ0MeYZR8fLMreV5jGy9FGpq+7Zw9THmhLVEsDIqpY/rSdGgEUAIytU0nV9AAodd1LlM9jYxMhKQ7GmL7sYWSpRMNercMWbOYP5HiMrXvlpesZ8r6GFkaWjFW9uK91jZOlizDOOjpdlbivNY2Tpo1JX3bOHqY81JaolgJFVLX9aT4wAiwBGVqik6/oAFDrupMpnsLGJkZWGYk1fdjGyVKJgrlfhijdzBvM9Rla88tP0jPleQwsjS0cr3txWusfI0sWYZxwdL8vcVprHyNJHpa66Zw9TH2tKVEsAI6ta/rSeGAEWAYysUEnX9QEodNxJlc9gYxMjKw3Fmr7sYmSpRMFcr8IVb+YM5nuMrHjlp+kZ872GFkaWjla8ua10j5GlizHPODpelrmtNI+RpY9KXXXPHqY+1pSolgBGVrX8aT0xAiwCGFmhkq7rA1DouJMqn8HGJkZWGoo1fdnFyFKJgrlehSvezBnM9xhZ8cpP0zPmew0tjCwdrXhzW+keI0sXY55xdLwsc1tpHiNLH5W66p49TH2sKVEtAYysavnTemIEWAQwskIlXdcHoNBxJ1U+g41NjKw0FGv6souRpRIFc70KV7yZM5jvMbLilZ+mZ8z3GloYWTpa8ea20j1Gli7GPOPoeFnmttI8RpY+KnXVPXuY+lhToloCGFnV8qf1xAiwCGBkhUq6rg9AoeNOqnwGG5sYWWko1vRlFyNLJQrmehWueDNnMN9jZMUrP03PmO81tDCydLTizW2le4wsXYx5xtHxssxtpXmMLH1U6qp79jD1saZEtQQwsqrlT+uJEWARwMgKlXRdH4BCx51U+Qw2NjGy0lCs6csuRpZKFMz1KlzxZs5gvsfIild+mp4x32toYWTpaMWb20r3r0T6jPP0Dk+bwR++5x1mdfGMY4ZSXZGV5jGy1OhdXXXPHqY+1pSolgBGVrX8aT0xAiwCGFmhkq7rA1DouJMqn8HGJkZWGoo1fdmNdJPnihO+MgsWG/pmKNOpKIP5Ht2nIVfme10c0b2OV6y5rXSPkaWLMO+zOl6Wua00j5Glj0pddc8epj7WlKiWAEZWtfxpPTECLAIYWaGSrusDUOi4kyqfwcYmRlYaijV92cXIUomCuV6FK97MGcz3bOjHKz9Nz5jvNbQ4kaWjFW9uK91jZOlizDOOjpdlbivNY2Tpo1JX3bOHqY81JaolgJFVLX9aT4wAiwBGVqik6/oAFDrupMpnsLGJkZWGYk1fdjGyVKJgrlfhijdzBvM9Rla88tP0jPleQwsjS0cr3txWusfI0sWYZxwdL8vcVprHyNJHpa66Zw9TH2tKVEsAI6ta/rSeGAEWAYysUEnX9QEodNxJlc9gYxMjKw3Fmr7sYmSpRMFcr8IVb+YM5nuMrHjlp+kZ872GFkaWjla8ua10j5GlizHPODpelrmtNG9tZC05YkmzYfJtODOUviL2MG15UlvxBDCyimdMCxkRYBHAyAqVOw/+oQQjKJ/BxiZGVgQ6M+iC6csuRpYqIsz1KlzxZs5gvsfIild+mp4x32toYWTpaMWb20r3GFm6GPOMo+NlmdtK8xhZ+qjUVffsYepjTYlqCWBkVcuf1hMjwCKAkRUq6bo+AIWOO6nyGWxsYmSloVjTl12MLJUomOtVuOLNnMF8j5EVr/w0PWO+19DCyNLRije3le4xsnQx5hlHx8syt5XmMbL0Uamr7tnD1MeaEtUSwMiqlj+tJ0aARQAjK1TSdX0ACh13UuUz2NjEyEpDsaYvuxhZKlEw16twxZs5g/keIyte+Wl6xnyvoYWRpaMVb24r3WNk6WLMM46Ol2VuK81jZOmjUlfds4epjzUlqiWAkVUtf1pPjACLAEZWqKTr+gAUOu6kymewsYmRlYZiTV92MbJUomCuV+GKN3MG8z1GVrzy0/SM+V5DCyNLRyve3Fa6x8jSxZhnHB0vy9xWmsfI0kelrrpnD1Mfa0pUSwAjq1r+tJ4YARYBjKxQSdf1ASh03EmVz2BjEyMrDcWavuxiZKlEwVyvwhVv5gzme4yseOWn6RnzvYYWRpaOVry5rXSPkaWLMc84Ol6Wua00j5Glj0pddc8epj7WlKiWAEZWtfxpPTECLAIYWaGSrusDUOi4kyqfwcYmRlYaijV92cXIUomCuV6FK97MGcz3GFnxyk/TM+Z7DS2MLB2teHNb6R4jSxdjnnF0vCxzW2keI0sflbrqnj1MfawpUS0BjKxq+dN6YgRYBDCyQiVd1weg0HEnVT6DjU2MrDQUa/qyi5GlEgVzvQpXvJkzmO8xsuKVn6ZnzPcaWhhZOlrx5rbSPUaWLsY84+h4Wea20jxGlj4qddU9e5j6WFOiWgIYWdXyp/XECLAIYGSFSrquD0Ch406qfAYbmxhZaSjW9GUXI0slCuZ6Fa54M2cw32NkxSs/Tc+Y7zW0MLJ0tOLNbaV7jCxdjHnG0fGyzG2leYwsfVTqqnv2MPWxpkS1BDCyquVP64kRYBHAyAqVdF0fgELHnVT5DDY2MbLSUKzpyy5GlkoUzPUqXPFmzmC+x8iKV36anjHfa2hhZOloxZvbSvcYWboY84yj42WZ20rzGFn6qNRV9+xh6mNNiWoJYGRVy5/WEyPAIoCRFSrpuj4AhY47qfIZbGxiZKWhWNOXXYwslSiY61W44s2cwXyPkRWv/DQ9Y77X0MLI0tGKN7eV7jGydDHmGUfHyzK3leYxsvRRqavu2cPUx5oS1RLAyKqWP60nRoBFACMrVNJ1fQAKHXdS5TPY2MTISkOxpi+7GFkqUTDXq3DFmzmD+R4jK175aXrGfK+hhZGloxVvbivdx2pkXXHCV2bwmevNUFZakZXmMbL0Yazrsz17mPpYU6JaAhhZ1fKn9cQIsAhgZIVKuq4PQKHjTqp8BhubGFlpKNb0ZRcjSyUK5noVrngzZzDfs7kZr/w0PWO+19DCyNLRije3le4xsnQx5hlHx8syt5XmMbL0Uamr7tnD1MeaEtUSwMiqlj+tJ0aARQAjK1TSdX0ACh13UuUz2NjEyEpDsaYvuxhZKlEw16twxZs5g/keIyte+Wl6xnyvoYWRpaMVb24r3WNk6WLMM46Ol2VuK81jZOmjUlfds4epjzUlqiWAkVUtf1pPjACLAEZWqKTr+gAUOu6kymewsYmRlYZiTV92MbJUomCuV+GKN3MG8z1GVrzy0/SM+V5DCyNLRyve3Fa6x8jSxZhnHB0vy9xWmsfI0kelrrpnD1Mfa0pUSwAjq1r+tJ4YARYBjKxQSdf1ASh03EmVz2BjEyMrDcWavuxiZKlEwVyvwhVv5gzme4yseOWn6RnzvYYWRpaOVry5rXSPkaWLMc84Ol6Wua00j5Glj0pddc8epj7WlKiWAEZWtfxpPTECLAIYWaGSrusDUOi4kyqfwcYmRlYaijV92cXIUomCuV6FK97MGcz3GFnxyk/TM+Z7DS2MLB2teHNb6R4jSxdjnnF0vCxzW2keI0sflbrqnj1MfawpUS0BjKxq+dN6YgRYBDCyQiVd1weg0HEnVT6DjU2MrDQUa/qyi5GlEgVzvQpXvJkzmO8xsuKVn6ZnzPcaWhhZOlrx5rbSPUaWLsY84+h4Wea20jxGlj4qddU9e5j6WFOiWgIYWdXyp/XECLAIYGSFSrquD0Ch406qfAYbmxhZaSjW9GUXI0slCuZ6Fa54M2cw32NkxSs/Tc+Y7zW0MLJ0tOLNbaV7jCxdjHnG0fGyzG2leYwsfVTqqnv2MPWxpkS1BDCyquVP64kRYBHAyAqVdF0fgELHnVT5DDY2MbLSUKzpyy5GlkoUzPUqXPFmzmC+x8iKV36anjHfa2hhZOloxZvbSvcYWboY84yj42WZ20rzGFn6qNRV9+xh6mNNiWoJYGRVy5/WEyPAIoCRFSrpuj4AhY47qfIZbGxiZKWhWNOXXYwslSiY61W44s2cwXyPkRWv/DQ9Y77X0MLI0tGKN7eV7jGydDHmGUfHyzK3leYxsvRRqavu2cPUx5oS1RLAyKqWP60nRoBFACMrVNJ1fQAKHXdS5TPY2MTISkOxpi+7GFkqUTDXq3DFmzmD+R4jK175aXrGfK+hhZGloxVvbivdY2TpYswzjo6XZW4rzWNk6aNSV92zh6mPNSWqJYCRVS1/Wk+MAIsARlaopOv6ABQ67qTKZ7CxiZGVhmJNX3YxslSiYK5X4Yo3cwbzPUZWvPLT9Iz5XkMLI0tHK97cVrrHyNLFmGccHS/L3Faax8jSR6WuumcPUx9rSlRLACOrWv60nhgBFgGMrFBJ16bA70kAACAASURBVPUBKHTcSZXPYGMTIysNxZq+7GJkqUTBXK/CFW/mDOZ7jKx45afpGfO9hhZGlo5WvLmtdI+RpYsxzzg6Xpa5rTSPkaWPSl11zx6mPtaUqJYARla1/Gk9MQIsAhhZoZKu6wNQ6LiTKp/BxiZGVhqKNX3ZxchSiYK5XoUr3swZzPcYWfHKT9Mz5nsNLYwsHa14c1vpHiNLF2OecXS8LHNbaR4jSx+VuuqePUx9rClRLQGMrGr503piBFgEMLJCJV3XB6DQcSdVPoONTYysNBRr+rKLkaUSBXO9Cle8mTOY7zGy4pWfpmfM9xpaGFk6WvHmttI9RpYuxjzj6HhZ5rbSPEaWPip11T17mPpYU6JaAhhZ1fKn9cQIsAhgZIVKuq4PQKHjTqp8BhubGFlpKNb0ZRcjSyUK5noVrngzZzDfY2TFKz9Nz5jvNbQwsnS04s1tpXuMLF2MecbR8bLMbaV5jCx9VOqqe/Yw9bGmRLUEMLKq5U/riRFgEcDICpV0XR+AQsedVPkMNjYxstJQrOnLLkaWShTM9Spc8WbOYL7HyIpXfpqeMd9raGFk6WjFm9tK9xhZuhjzjKPjZZnbSvMYWfqo1FX37GHqY02JaglgZFXLn9YTI8AigJEVKum6PgCFjjup8hlsbGJkpaFY05ddjCyVKJjrVbjizZzBfI+RFa/8ND1jvtfQwsjS0Yo3t5XuMbJ0MeYZR8fLMreV5jGy9FGpq+7Zw9THmhLVEsDIqpY/rSdGgEUAIytU0nV9AAodd1LlM9jYxMhKQ7GmL7sYWSpRMNercMWbOYP5HiMrXvlpesZ8r6GFkaWjFW9uK91jZOlizDOOjpdlbivNY2Tpo1JX3bOHqY81JaolgJFVLX9aT4wAiwBGVqik6/oAFDrupMpnsLGJkZWGYk1fdjGyVKJgrlfhijdzBvM9Rla88tP0jPleQwsjS0cr3txWusfI0sWYZxwdL8vcVprHyNJHpa66Zw9TH2tKVEsAI6ta/rSeGAEWAYysUEnX9QEodNxJlc9gYxMjKw3Fmr7sYmSpRMFcr8IVb+YM5nuMrHjlp+kZ872GFkaWjla8ua10j5GlizHPODpelrmtNI+RpY9KXXXPHqY+1pSolgBGVrX8aT0xAiwCGFmhkq7rA1DouJMqn8HGJkZWGoo1fdnFyFKJgrlehSvezBnM9xhZ8cpP0zPmew0tjCwdrXhzW+keI0sXY55xdLwsc1tpHiNLH5W66p49TH2sKVEtAYysavnTemIEWAQwskIlXdcHoNBxJ1U+g41NjKw0FGv6souRpRIFc70KV7yZM5jvMbLilZ+mZ8z3GloYWTpa8eb+f+ydC9CuZVm2b9TREAdR3IMSaYai4xZTMTeZGxCGUhx1ssQJBM3UdNCxmrDRUaMm2xGCWjjKNKnY5CZtOYqYggmOBoU7SINJE0VlBItE+Od9/zSotWAd673gOa97Hd8M80+u8/7e5znP47+f67nP+b6vinuLLJaxMw7zq1JdxbxFFk+lK/eeYfKsXbGsAxZZy/rvp0/mgA8Bi6xNke46AG1631Ot3wkONi2y5iC29GXXIgtB4V6P7MoV7wT7vUVWLn7kytzviVsWWcytXHUV9xZZLGNnHOZXpbqKeYssnkpX7j3D5Fm7YlkHLLKW9d9Pn8wBHwIWWZsi3XUA2vS+p1q/ExxsWmTNQWzpy65FFoLCvR7ZlSveCfZ7i6xc/MiVud8TtyyymFu56iruLbJYxs44zK9KdRXzFlk8la7ce4bJs3bFsg5YZC3rv58+mQM+BCyyNkW66wC06X1PtX4nONi0yJqD2NKXXYssBIV7PbIrV7wT7PcWWbn4kStzvyduWWQxt3LVVdxbZLGMnXGYX5XqKuYtsngqXbn3DJNn7YplHbDIWtZ/P30yB3wIWGRtinTXAWjT+55q/U5wsGmRNQexpS+7FlkICvd6ZFeueCfY7y2ycvEjV+Z+T9yyyGJu5aqruLfIYhk74zC/KtVVzFtk8VS6cu8ZJs/aFcs6YJG1rP9++mQO+BCwyNoU6a4D0Kb3PdX6neBg0yJrDmJLX3YtshAU7vXIrlzxTrDfW2Tl4keuzP2euGWRxdzKVVdxb5HFMnbGYX5VqquYt8jiqXTl3jNMnrUrlnXAImtZ//30yRzwIWCRtSnSXQegTe97qvU7wcGmRdYcxJa+7FpkISjc65FdueKdYL+3yMrFj1yZ+z1xyyKLuZWrruLeIotl7IzD/KpUVzFvkcVT6cq9Z5g8a1cs64BF1rL+x3/6JZdcMj71qU+t/zv77LPX/1166aXr637Oc54zTjnllBu8h+9973vjgx/84PjQhz40zjnnnHHBBReMyy+/fOy+++7j3ve+93jSk540jjnmmHGXu9zlBr/XDQl+/Md/fPzrv/7rDcnGPvvsM77yla/coI4KfAhYZFFm/re+6wC06X1PtX4nONi0yJqD2NKXXYssBIV7PbIrV7wT7PcWWbn4kStzvyduWWQxt3LVVdxbZLGMnXGYX5XqKuYtsngqXbn3DJNn7YplHbDIWtb/+E/fZZddtnmN21NknXvuuePAAw9cF1fX97UqtU4++eTxjGc8YyNPLLI2su/GWewhD/K16wCEbnJ28U7AvEXWHBCXvuxaZCEo3OuRXbninWC/t8jKxY9cmfs9ccsii7mVq67i3iKLZeyMw/yqVFcxb5HFU+nKvUUWz9oVyzpgkbWs//Gffu0i6x73uMfYb7/9xpYtW9bXvT1F1sc//vHxMz/zM2v9qtA65JBDxkMf+tCx5557jm984xvj3e9+93jTm940rr766nHzm998vPe97x0HHXTQDvvywyLrsMMOG695zWu2+X1uectbrn8arPrLh8BWHPWQB2HWdQBCNzm7eCdg3iJrDohLX3YtshAU7vXIrlzxTrDfW2Tl4keuzP2euGWRxdzKVVdxb5HFMnbGYX5VqquYt8jiqXTl3jNMnrUrlnXAImtZ/+M//bjjjhsHHHDA+r873/nO61/Ht++++253kXXmmWeOP/qjPxqr73Pf+953q/f7N3/zN+MXfuEXxjXXXDPuec97ji996Uvj+n4S7PpM+2GRtT0l241hvg8Bi6xNueo6AG1631Ot92ATxSnzyK5ScenLrkUWykbukV25Yvd7lI3cI7tKxe73zE4LXOZXqrqKe4sslrB7PfOrUl3FvEUWT6Ur955h8qxdsawDFlnL+t/u02mRtb03ePjhh4/TTjttLf/0pz89HvzgB2/v0uvoLLJ2yLYbd5GHPMjfrgMQusnZxTKPEpZ5ZFepuPRl1yILZSP3yK5csfs9ykbukV2lYvd7ZqdFFvMrVV3FvUUWS9i9nvlVqa5i3iKLp9KVe4ssnrUrlnXAImtZ/9t9+o1VZJ1wwgnjhS984dqPd7zjHePpT3/6DnljkbVDtt24izzkQf52HYDQTc4ulnmUsMwju0rFpS+7FlkoG7lHduWK3e9RNnKP7CoVu98zOy2ymF+p6iruLbJYwu71zK9KdRXzFlk8la7cW2TxrF2xrAMWWcv63+7Tb6wi6w/+4A/Gy172srUfq5/MeupTn7pD3lhk7ZBtN+4iD3mQv10HIHSTs4tlHiUs88iuUnHpy65FFspG7pFduWL3e5SN3CO7SsXu98xOiyzmV6q6inuLLJawez3zq1JdxbxFFk+lK/cWWTxrVyzrgEXWsv63+/Qbq8g67LDDxnve8561H+eff/64z33us0Pe/LDIWv0dr913331ceOGF4wc/+MH673s97GEPG8961rPG6rN29G9w3dBF+RDYikMe8twQNtf5964DELrJ2cUyjxKWeWRXqbj0ZdciC2Uj98iuXLH7PcpG7pFdpWL3e2anRRbzK1Vdxb1FFkvYvZ75VamuYt4ii6fSlXvPMHnWrljWAYusZf1v9+k3RpH1j//4j+MhD3nIunC6//3vP84999wd9uWHRdb1fYMDDzxw/NVf/dXYa6+98OesNvnr+/ra1762LsxWXxdffPHYe++98WdMt8BDHhRp1wEI3eTsYplHCcs8sqtUXPqya5GFspF7ZFeu2P0eZSP3yK5Ssfs9s9Mii/mVqq7i3iKLJexez/yqVFcxv7qmr7z+KWWXdv+33r/se533nPPKvtcJx3yk7Ht15d4iqwwBv9FN5IBF1k1k9CwfU11kXXnlleNRj3rUOOecc9YWrX4q69BDD91hu+5973uvf5rriU984rjf/e43bnvb247vfOc746yzzhonnnjiulxafa00q/9t9e/ki/wkl0XWfzvrIQ9BbHQdgNBNzi6WeZSwzCO7SsWlL7sWWSgbuUd25Yrd71E2co/sKhW73zM7LbKYX6nqKu4tsljC7vXMr0p1FfOra7LIYsl05d4ii+WsenkHLLKWz6DVFVQXWUcdddR485vfvPbgOc95zjjllFM28mNVWu2xxx5b/R7f/e53x+GHHz62bNmy/vdf//VfH6u/zUW+LLKIW/+t9ZAHmdZ1AEI3ObtY5lHCMo/sKhWXvuxaZKFs5B7ZlSt2v0fZyD2yq1Tsfs/stMhifqWqq7i3yGIJu9czvyrVVcyvrskiiyXTlXuLLJaz6uUdsMhaPoNWV1BZZL3uda8bv/Ebv7G+/wMOOGCcfvrpY7fddrtR/bjsssvGT/zET4xvfetb689a/b+3vOUtt/sz/dWC223V/wg95EGmdR2A0E3OLpZ5lLDMI7tKxaUvuxZZKBu5R3blit3vUTZyj+wqFbvfMzstsphfqeoq7i2yWMLu9cyvSnUV8xZZPJWu3Ftk8axdsawDFlnL+t/u06uKrJNOOmkcc8wx6/vfb7/9xt///d+PO9zhDjeJH7/6q786/uzP/mz9WZ/4xCfGIx/5yLLP9SGwFSs95EF8dR2A0E3OLpZ5lLDMI7tKxaUvuxZZKBu5R3blit3vUTZyj+wqFbvfMzstsphfqeoq7i2yWMLu9cyvSnUV8xZZPJWu3HuGybN2xbIOWGQt63+7T68osv7yL/9yPPvZzx5XX3312GeffcbHP/7xsffee99kXpxwwgnjhS984frz3vGOd4ynP/3pZZ/tQ8Aia1OYug5Am973VOs92ERxyjyyq1Rc+rJrkYWykXtkV67Y/R5lI/fIrlKx+z2z0yKL+ZWqruLeIosl7F7P/KpUVzFvkcVT6cq9Z5g8a1cs64BF1rL+t/v0TYus97znPeNpT3vauOqqq8Zd73rX9U9i3fOe97xJfVj9NNbqp7Issm4i2z3kQUZ3HYDQTc4ulnmUsMwju0rFpS+7FlkoG7lHduWK3e9RNnKP7CoVu98zOy2ymF+p6iruLbJYwu71zK9KdRXzFlk8la7cW2TxrF2xrAMWWcv63+7TNymyPvzhD4+nPOUp48orrxx77rnnOOOMM8b+++9/k3uw+mms1U9lrb5WPw124IEHll2DD4GtWOkhD+Kr6wCEbnJ2scyjhGUe2VUqLn3ZtchC2cg9sitX7H6PspF7ZFep2P2e2WmRxfxKVVdxb5HFEnavZ35VqquYt8jiqXTl3jNMnrUrlnXAImtZ/9t9+o4WWWeeeeZ44hOfOK644opx29vedqxKrYc85CE3+f1fdtll658Au/TSS8etb33r8a1vfWvc6la3KrsOHwIWWZvC1HUA2vS+p1rvwSaKU+aRXaXi0pddiyyUjdwju3LF7vcoG7lHdpWK3e+ZnRZZzK9UdRX3FlksYfd65leluop5iyyeSlfuPcPkWbtiWQcsspb1v92n70iR9dnPfnY87nGPG9/5znfGbrvtNv7u7/5uh34K6rGPfez6p7hWX1/+8pfHj//4j1/Hvw9+8IPjMY95zNh111236uvll1++/rWGW7ZsWf/7r/3ar40//uM/Ls3Ah8BW7PSQBzHWdQBCNzm7WOZRwjKP7CoVl77sWmShbOQe2ZUrdr9H2cg9sqtU7H7P7LTIYn6lqqu4t8hiCbvXM78q1VXMr67pK69/Stml3f+t9y/7Xuc957yy73XCMR8p+15dufcMswwBv9FN5IBF1k1kdNePWf3qvQsuuOBHl//Nb35zHHvssev/e/Ur+Y488sjr3NoRRxxxnf/7wgsvHI985CPHJZdcsv7f3/CGN4yf+7mfu1477nSnO43Vf//764aKrNW/n3feeeOpT33qeNSjHrX+yavb3OY2Y/VTWKufCHvjG984LrroovW3/amf+qn1/3b729++NBofAlux00MexFjXAQjd5OximUcJyzyyq1Rc+rJrkYWykXtkV67Y/R5lI/fIrlKx+z2z0yKL+ZWqruLeIosl7F7P/KpUVzG/uiaLLJZMV+49w2Q5q17eAYus5TOIvoJVMfXWt751u6/xmmuuuY72lFNOGc997nO3e/1KeNxxx41XvepV/2fN9hRZP/yJrev7wNVPbZ166qljr732Qte1PWIfAltxyUOe7UHnR5quAxC6ydnFMo8SlnlkV6m49GXXIgtlI/fIrlyx+z3KRu6RXaVi93tmp0UW8ytVXcW9RRZL2L2e+VWprmJ+dU0WWSyZrtx7hslyVr28AxZZy2cQfQWdiqxzzjln/be3zjrrrPGFL3xhrH56bPXrDFd/C+tud7vb+Omf/unxrGc9a/23unbZZZcbxXcfAhZZm4LVdQDa9L6nWu/BJopT5pFdpeLSl12LLJSN3CO7csXu9ygbuUd2lYrd75mdFlnMr1R1FfcWWSxh93rmV6W6inmLLJ5KV+49w+RZu2JZByyylvXfT5/MAR8CFlmbIt11ANr0vqda78EmilPmkV2l4tKXXYsslI3cI7tyxe73KBu5R3aVit3vmZ0WWcyvVHUV9xZZLGH3euZXpbqKeYssnkpX7j3D5Fm7YlkHLLKW9d9Pn8wBHwIWWZsi3XUA2vS+p1rvwSaKU+aRXaXi0pddiyyUjdwju3LF7vcoG7lHdpWK3e+ZnRZZzK9UdRX3FlksYfd65leluop5iyyeSlfuPcPkWbtiWQcsspb130+fzAEfAhZZmyLddQDa9L6nWu/BJopT5pFdpeLSl12LLJSN3CO7csXu9ygbuUd2lYrd75mdFlnMr1R1FfcWWSxh93rmV6W6inmLLJ5KV+49w+RZu2JZByyylvXfT5/MAR8CFlmbIt11ANr0vqda78EmilPmkV2l4tKXXYsslI3cI7tyxe73KBu5R3aVit3vmZ0WWcyvVHUV9xZZLGH3euZXpbqKeYssnkpX7j3D5Fm7YlkHLLKW9d9Pn8wBHwIWWZsi3XUA2vS+p1rvwSaKU+aRXaXi0pddiyyUjdwju3LF7vcoG7lHdpWK3e+ZnRZZzK9UdRX3FlksYfd65leluop5iyyeSlfuPcPkWbtiWQcsspb130+fzAEfAhZZmyLddQDa9L6nWu/BJopT5pFdpeLSl12LLJSN3CO7csXu9ygbuUd2lYrd75mdFlnMr1R1FfcWWSxh93rmV6W6inmLLJ5KV+49w+RZu2JZByyylvXfT5/MAR8CFlmbIt11ANr0vqda78EmilPmkV2l4tKXXYsslI3cI7tyxe73KBu5R3aVit3vmZ0WWcyvVHUV9xZZLGH3euZXpbqKeYssnkpX7j3D5Fm7YlkHLLKW9d9Pn8wBHwIWWZsi3XUA2vS+p1rvwSaKU+aRXaXi0pddiyyUjdwju3LF7vcoG7lHdpWK3e+ZnRZZzK9UdRX3FlksYfd65leluop5iyyeSlfuPcPkWbtiWQcsspb130+fzAEfAhZZmyLddQDa9L6nWu/BJopT5pFdpeLSl12LLJSN3CO7csXu9ygbuUd2lYrd75mdFlnMr1R1FfcWWSxh93rmV6W6inmLLJ5KV+49w+RZu2JZByyylvXfT5/MAR8CFlmbIt11ANr0vqda78EmilPmkV2l4tKXXYsslI3cI7tKxXLP7PRAn/mVqpZ7lozcM79S1VXcW2SxhJ1xmF+V6irmLbJ4Kl259wyTZ+2KZR2wyFrWfz99Mgd8CFhkbYp01wFo0/uear1FFopT5pFdpeLSl12LLJSN3CO7SsVyz+z0QJ/5laqWe5aM3DO/UtVV3FtksYSdcZhfleoq5i2yeCpdufcMk2ftimUdsMha1n8/fTIHfAhYZG2KdNcBaNP7nmq9RRaKU+aRXaXi0pddiyyUjdwju0rFcs/s9ECf+ZWqlnuWjNwzv1LVVdxbZLGEnXGYX5XqKuYtsngqXbn3DJNn7YplHbDIWtZ/P30yB3wIWGRtinTXAWjT+55qvUUWilPmkV2l4tKXXYsslI3cI7tKxXLP7PRAn/mVqpZ7lozcM79S1VXcW2SxhJ1xmF+V6irmLbJ4Kl259wyTZ+2KZR2wyFrWfz99Mgd8CFhkbYp01wFo0/uear1FFopT5pFdpeLSl12LLJSN3CO7SsVyz+z0QJ/5laqWe5aM3DO/UtVV3FtksYSdcZhfleoq5i2yeCpdufcMk2ftimUdsMha1n8/fTIHfAhYZG2KdNcBaNP7nmq9RRaKU+aRXaXi0pddiyyUjdwju0rFcs/s9ECf+ZWqlnuWjNwzv1LVVdxbZLGEnXGYX5XqKuYtsngqXbn3DJNn7YplHbDIWtZ/P30yB3wIWGRtinTXAWjT+55qvUUWilPmkV2l4tKXXYsslI3cI7tKxXLP7PRAn/mVqpZ7lozcM79S1VXcW2SxhJ1xmF+V6irmLbJ4Kl259wyTZ+2KZR2wyFrWfz99Mgd8CFhkbYp01wFo0/uear1FFopT5pFdpeLSl12LLJSN3CO7SsVyz+z0QJ/5laqWe5aM3DO/UtVV3FtksYSdcZhfleoq5i2yeCpdufcMk2ftimUdsMha1n8/fTIHfAhYZG2KdNcBaNP7nmq9RRaKU+aRXaXi0pddiyyUjdwju0rFcs/s9ECf+ZWqlnuWjNwzv1LVVdxbZLGEnXGYX5XqKuYtsngqXbn3DJNn7YplHbDIWtZ/P30yB3wIWGRtinTXAWjT+55qvUUWilPmkV2l4tKXXYsslI3cI7tKxXLP7PRAn/mVqpZ7lozcM79S1VXcW2SxhJ1xmF+V6irmLbJ4Kl259wyTZ+2KZR2wyFrWfz99Mgd8CFhkbYp01wFo0/uear1FFopT5pFdpeLSl12LLJSN3CO7SsVyz+z0QJ/5laqWe5aM3DO/UtVV3FtksYSdcZhfleoq5i2yeCpdufcMk2ftimUdsMha1n8/fTIHfAhYZG2KdNcBaNP7nmq9RRaKU+aRXaXi0pddiyyUjdwju0rFcs/s9ECf+ZWqlnuWjNwzv1LVVdxbZLGEnXGYX5XqKuYtsngqXbn3DJNn7YplHbDIWtZ/P30yB3wIWGRtinTXAWjT+55qvUUWilPmkV2l4tKXXYsslI3cI7tKxXLP7PRAn/mVqpZ7lozcM79S1VXcW2SxhJ1xmF+V6irmLbJ4Kl259wyTZ+2KZR2wyFrWfz99Mgd8CFhkbYp01wFo0/uear1FFopT5pFdpeLSl12LLJSN3CO7SsVyz+z0QJ/5laqWe5aM3DO/UtVV3FtksYSdcZhfleoq5i2yeCpdufcMk2ftimUdsMha1n8/fTIHfAhYZG2KdNcBaNP7nmq9RRaKU+aRXaXi0pddiyyUjdwju0rFcs/s9ECf+ZWqlnuWjNwzv1LVVdxbZLGEnXGYX5XqKuYtsngqXbn3DJNn7YplHbDIWtZ/P30yB3wIWGRtinTXAWjT+55qvUUWilPmkV2l4tKXXYsslI3cI7tKxXLP7PRAn/mVqpZ7lozcM79S1VXcW2SxhJ1xmF+V6irmLbJ4Kl259wyTZ+2KZR2wyFrWfz99Mgd8CFhkbYp01wFo0/uear1FFopT5pFdpeLSl12LLJSN3CO7SsVyz+z0QJ/5laqWe5aM3DO/UtVV3FtksYSdcZhfleoq5i2yeCpdufcMk2ftimUdsMha1n8/fTIHfAhYZG2KdNcBaNP7nmq9RRaKU+aRXaXi0pddiyyUjdwju0rFcs/s9ECf+ZWqlnuWjNwzv1LVVdxbZLGEnXGYX5XqKuYtsngqXbn3DJNn7YplHbDIWtZ/P30yB3wIWGRtinTXAWjT+55qvUUWilPmkV2l4tKXXYsslI3cI7tKxXLP7PRAn/mVqpZ7lozcM79S1VXcW2SxhJ1xmF+V6irmLbJ4Kl259wyTZ+2KZR2wyFrWfz99Mgd8CFhkbYp01wFo0/uear1FFopT5pFdpeLSl12LLJSN3CO7SsVyz+z0QJ/5laqWe5aM3DO/UtVV3FtksYSdcZhfleoq5i2yeCpdufcMk2ftimUdsMha1n8/fTIHfAhYZG2KdNcBaNP7nmq9RRaKU+aRXaXi0pddiyyUjdwju0rFcs/s9ECf+ZWqlnuWjNwzv1LVVdxbZLGEnXGYX5XqKuYtsngqXbn3DJNn7YplHbDIWtZ/P30yB3wIWGRtinTXAWjT+55qvUUWilPmkV2l4tKXXYsslI3cI7tKxXLP7PRAn/mVqpZ7lozcM79S1VXcW2SxhJ1xmF+V6irmLbJ4Kl259wyTZ+2KZR2wyFrWfz99Mgd8CFhkbYp01wFo0/uear1FFopT5pFdpeLSl12LLJSN3CO7SsVyz+z0QJ/5laqWe5aM3DO/UtVV3FtksYSdcZhfleoq5i2yeCpdufcMk2ftimUdsMha1n8/fTIHfAhYZG2KdNcBaNP7nmq9RRaKU+aRXaXi0pddiyyUjdwju0rFcs/s9ECf+ZWqlnuWjNwzv1LVVdxbZLGEnXGYX5XqKuYtsngqXbn3DJNn7YplHbDIWtZ/P30yB3wIWGRtinTXAWjT+55qvUUWilPmkV2l4tKXXYsslI3cI7tKxXLP7PRAn/mVqpZ7lozcM79S1VXcW2SxhJ1xmF+V6irmLbJ4Kl259wyTZ+2KZR2wyFrWfz99Mgd8CFhkbYp01wFo0/uear1FFopT5pFdpeLSl12LLJSN3CO7SsVyOoaHMwAAIABJREFUz+z0QJ/5laqWe5aM3DO/UtVV3FtksYSdcZhfleoq5i2yeCpdufcMk2ftimUdsMha1n8/fTIHfAhYZG2KdNcBaNP7nmq9RRaKU+aRXaXi0pddiyyUjdwju0rFcs/s9ECf+ZWqlnuWjNwzv1LVVdxbZLGEnXGYX5XqKuYtsngqXbn3DJNn7YplHbDIWtZ/P30yB3wIWGRtinTXAWjT+55qvUUWilPmkV2l4tKXXYsslI3cI7tKxXLP7PRAn/mVqpZ7lozcM79S1VXcW2SxhJ1xmF+V6irmLbJ4Kl259wyTZ+2KZR2wyFrWfz99Mgd8CFhkbYp01wFo0/uear1FFopT5pFdpeLSl12LLJSN3CO7SsVyz+z0QJ/5laqWe5aM3DO/UtVV3FtksYSdcZhfleoq5i2yeCpdufcMk2ftimUdsMha1n8/fTIHfAhYZG2KdNcBaNP7nmq9RRaKU+aRXaXi0pddiyyUjdwju0rFcs/s9ECf+ZWqlnuWjNwzv1LVVdxbZLGEnXGYX5XqKuYtsngqXbn3DJNn7YplHbDIWtZ/P30yB3wIWGRtinTXAWjT+55qvUUWilPmkV2l4tKXXYsslI3cI7tKxXLP7PRAn/mVqpZ7lozcM79S1VXcW2SxhJ1xmF+V6irmLbJ4Kl259wyTZ+2KZR2wyFrWfz99Mgd8CFhkbYp01wFo0/uear1FFopT5pFdpeLSl12LLJSN3CO7SsVyz+z0QJ/5laqWe5aM3DO/UtVV3FtksYSdcZhfleoq5i2yeCpdufcMk2ftimUdsMha1n8/fTIHfAhYZG2KdNcBaNP7nmq9RRaKU+aRXaXi0pddiyyUjdwju0rFcs/s9ECf+ZWqlnuWjNwzv1LVVdxbZLGEnXGYX5XqKuYtsngqXbn3DJNn7YplHbDIWtZ/P30yB3wIWGRtinTXAWjT+55qvUUWilPmkV2l4tKXXYsslI3cI7tKxXLP7PRAn/mVqpZ7lozcM79S1VXcW2SxhJ1xmF+V6irmLbJ4Kl259wyTZ+2KZR2wyFrWfz99Mgd8CFhkbYp01wFo0/uear1FFopT5pFdpeLSl12LLJSN3CO7SsVyz+z0QJ/5laqWe5aM3DO/UtVV3FtksYSdcZhfleoq5i2yeCpdufcMk2ftimUdsMha1n8/fTIHfAhYZG2KdNcBaNP7nmq9RRaKU+aRXaXi0pddiyyUjdwju0rFcs/s9ECf+ZWqlnuWjNwzv1LVVdxbZLGEnXGYX5XqKuYtsngqXbn3DJNn7YplHbDIWtZ/P30yB3wIWGRtinTXAWjT+55qvUUWilPmkV2l4tKXXYsslI3cI7tKxXLP7PRAn/mVqpZ7lozcM79S1VXcW2SxhJ1xmF+V6irmLbJ4Kl259wyTZ+2KZR2wyFrWfz99Mgd8CFhkbYp01wFo0/uear1FFopT5pFdpeLSl12LLJSN3CO7SsVyz+z0QJ/5laqWe5aM3DO/UtVV3FtksYSdcZhfleoq5i2yeCpdufcMk2ftimUdsMha1n8/fTIHfAhYZG2KdNcBaNP7nmq9RRaKU+aRXaXi0pddiyyUjdwju0rFcs/s9ECf+ZWqlnuWjNwzv1LVVdxbZLGEnXGYX5XqKuYtsngqXbn3DJNn7YplHbDIWtZ/P30yB3wIWGRtinTXAWjT+55qvUUWilPmkV2l4tKXXYsslI3cI7tKxXLP7PRAn/mVqpZ7lozcM79S1VXcW2SxhJ1xmF+V6irmLbJ4Kl259wyTZ+2KZR2wyFrWfz99Mgd8CFhkbYp01wFo0/uear1FFopT5pFdpeLSl12LLJSN3CO7SsVyz+z0QJ/5laqWe5aM3DO/UtVV3FtksYSdcZhfleoq5i2yeCpdufcMk2ftimUdsMha1n8/fTIHZnkIlA5AHm4iyrsOQOgmZxdbZKGEZR7ZVSp2r2d2erDJ/EpVyz1LRu6ZX6lquWfJyD3zK1Vdxb1FFkvY2Z75VamuYt4ii6fSlftZzjB5Yq7o6oBFVtfkvO5IB2Z5CJQOQBZZiNWuAxC6ydnFFlkoYZlHdpWK3euZnR5sMr9S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgKlA5BFFmK16wCEbnJ2sUUWSljmkV2lYvd6ZqcHm8yvVLXcs2TknvmVqpZ7lozcM79S1VXcW2SxhJ3tmV+V6irmk4usd7zuqjLL3OvHmOUMswwKv1G8AxZZ8RF5gZ0cmOUhUDoAWWQhhB38kV2ZYosslIvMI7tKxe71zE5fdplfqWq5Z8nIPfMrVS33LBm5Z36lqqu4t8hiCTvbM78q1VXMW2TxVLpyP8sZJk/MFV0dsMjqmpzXHenALA+B0gHIIgux2nUAQjc5u9giCyUs88iuUrF7PbPTg03mV6pa7lkycs/8SlXLPUtG7plfqeoq7i2yWMLO9syvSnUV8xZZPJWu3M9yhskTc0VXByyyuibndUc6MMtDoHQAsshCrHYdgNBNzi62yEIJyzyyq1TsXs/s9GCT+ZWqlnuWjNwzv1LVcs+SkXvmV6q6inuLLJawsz3zq1JdxbxFFk+lK/eznGHyxFzR1QGLrK7Jed2RDszyECgdgCyyEKtdByB0k7OLLbJQwjKP7CoVu9czOz3YZH6lquWeJSP3zK9UtdyzZOSe+ZWqruLeIosl7GzP/KpUVzFvkcVT6cr9LGeYPDFXdHXAIqtrcl53pAOzPARKByCLLMRq1wEI3eTsYosslLDMI7tKxe71zE4PNplfqWq5Z8nIPfMrVS33LBm5Z36lqqu4t8hiCTvbM78q1VXMW2TxVLpyP8sZJk/MFV0dsMjqmpzXHenALA+B0gHIIgux2nUAQjc5u9giCyUs88iuUrF7PbPTg03mV6pa7lkycs/8SlXLPUtG7plfqeoq7i2yWMLO9syvSnUV8xZZPJWu3M9yhskTc0VXByyyuibndUc6MMtDoHQAsshCrHYdgNBNzi62yEIJyzyyq1TsXs/s9GCT+ZWqlnuWjNwzv1LVcs+SkXvmV6q6inuLLJawsz3zq1JdxbxFFk+lK/eznGHyxFzR1QGLrK7Jed2RDszyECgdgCyyEKtdByB0k7OLLbJQwjKP7CoVu9czOz3YZH6lquWeJSP3zK9UtdyzZOSe+ZWqruLeIosl7GzP/KpUVzFvkcVT6cr9LGeYPDFXdHXAIqtrcl53pAOzPARKByCLLMRq1wEI3eTsYosslLDMI7tKxe71zE4PNplfqWq5Z8nIPfMrVS33LBm5Z36lqqu4t8hiCTvbM78q1VXMW2TxVLpyP8sZJk/MFV0dsMjqmpzXHenALA+B0gHIIgux2nUAQjc5u9giCyUs88iuUrF7PbPTg03mV6pa7lkycs/8SlXLPUtG7plfqeoq7i2yWMLO9syvSnUV8xZZPJWu3M9yhskTc0VXByyyuibndUc6MMtDoHQAsshCrHYdgNBNzi62yEIJyzyyq1TsXs/s9GCT+ZWqlnuWjNwzv1LVcs+SkXvmV6q6inuLLJawsz3zq1JdxbxFFk+lK/eznGHyxFzR1QGLrK7Jed2RDszyECgdgCyyEKtdByB0k7OLLbJQwjKP7CoVu9czOz3YZH6lquWeJSP3zK9UtdyzZOSe+ZWqruLeIosl7GzP/KpUVzFvkcVT6cr9LGeYPDFXdHXAIqtrcl53pAOzPARKByCLLMRq1wEI3eTsYosslLDMI7tKxe71zE4PNplfqWq5Z8nIPfMrVS33LBm5Z36lqqu4t8hiCTvbM78q1VXMW2TxVLpyP8sZJk/MFV0dsMjqmpzXHenALA+B0gHIIgux2nUAQjc5u9giCyUs88iuUrF7PbPTg03mV6pa7lkycs/8SlXLPUtG7plfqeoq7i2yWMLO9syvSnUV8xZZPJWu3M9yhskTc0VXByyyuibndUc6MMtDoHQAsshCrHYdgNBNzi62yEIJyzyyq1TsXs/s9GCT+ZWqlnuWjNwzv1LVcs+SkXvmV6q6inuLLJawsz3zq1JdxbxFFk+lK/eznGHyxFzR1QGLrK7Jed2RDszyECgdgCyyEKtdByB0k7OLLbJQwjKP7CoVu9czOz3YZH6lquWeJSP3zK9UtdyzZOSe+ZWqruLeIosl7GzP/KpUVzFvkcVT6cr9LGeYPDFXdHXAIqtrcl53pAOzPARKByCLLMRq1wEI3eTsYosslLDMI7tKxe71zE4PNplfqWq5Z8nIPfMrVS33LBm5Z36lqqu4t8hiCTvbM78q1VXMW2TxVLpyP8sZJk/MFV0dsMjqmpzXHenALA+B0gHIIgux2nUAQjc5u9giCyUs88iuUrF7PbPTg03mV6pa7lkycs/8SlXLPUtG7plfqeoq7i2yWMLO9syvSnUV8xZZPJWu3M9yhskTc0VXByyyuibndUc6MMtDoHQAsshCrHYdgNBNzi62yEIJyzyyq1TsXs/s9GCT+ZWqlnuWjNwzv1LVcs+SkXvmV6q6inuLLJawsz3zq1JdxbxFFk+lK/eznGHyxFzR1QGLrK7Jed2RDszyECgdgCyyEKtdByB0k7OLLbJQwjKP7CoVu9czOz3YZH6lquWeJSP3zK9UtdyzZOSe+ZWqruLeIosl7GzP/KpUVzFvkcVT6cr9LGeYPDFXdHXAIqtrcl53pAOzPARKByCLLMRq1wEI3eTsYosslLDMI7tKxe71zE4PNplfqWq5Z8nIPfMrVS33LBm5Z36lqqu4t8hiCTvbM78q1VXMW2TxVLpyP8sZJk/MFV0dsMjqmpzXHenALA+B0gHIIgux2nUAQjc5u9giCyUs88iuUrF7PbPTg03mV6pa7lkycs/8SlXLPUtG7plfqeoq7i2yWMLO9syvSnUV8xZZPJWu3M9yhskTc0VXByyyuibndUc6MMtDoHQAsshCrHYdgNBNzi62yEIJyzyyq1TsXs/s9GCT+ZWqlnuWjNwzv1LVcs+SkXvmV6q6inuLLJawsz3zq1Jdxfy6yPIcB0XTlftZzjBRWIpbO2CR1To+Lz7NgVkeAg5AjCxfdplf06stslDEXYd+dJOhYvd6Fox7PfMrVS33LBm5Z36lquWeJSP3zK9UdRX3HuizhJ3tmV+V6irmLbJ4Kl25n+UMkyfmiq4OWGR1Tc7rjnRgloeAAxDDy5dd5tf0aossFHHXoR/dZKjYvZ4F417P/EpVyz1LRu6ZX6lquWfJyD3zK1Vdxb1FFkvY2Z75VamuYt4ii6fSlftZzjB5Yq7o6oBFVtfkvO5IB2Z5CDgAMbx82WV+Ta+2yEIRdx360U2Git3rWTDu9cyvVLXcs2TknvmVqpZ7lozcM79S1VXcW2SxhJ3tmV+V6irmLbJ4Kl25n+UMkyfmiq4OWGR1Tc7rjnRgloeAAxDDy5dd5tf0aossFHHXoR/dZKjYvZ4F417P/EpVyz1LRu6ZX6lquWfJyD3zK1Vdxb1FFkvY2Z75VamuYt4ii6fSlftZzjB5Yq7o6oBFVtfkvO5IB2Z5CDgAMbx82WV+Ta+2yEIRdx360U2Git3rWTDu9cyvVLXcs2TknvmVqpZ7lozcM79S1VXcW2SxhJ3tmV+V6irmLbJ4Kl25n+UMkyfmiq4OWGR1Tc7rjnRgloeAAxDDy5dd5tf0aossFHHXoR/dZKjYvZ4F417P/EpVyz1LRu6ZX6lquWfJyD3zK1Vdxb1FFkvY2Z75VamuYt4ii6fSlftZzjB5Yq7o6oBFVtfkvO5IB2Z5CDgAMbx82WV+Ta+2yEIRdx360U2Git3rWTDu9cyvVLXcs2TknvmVqpZ7lozcM79S1VXcW2SxhJ3tmV+V6irmLbJ4Kl25n+UMkyfmiq4OWGR1Tc7rjnRgloeAAxDDy5dd5tf0aossFHHXoR/dZKjYvZ4F417P/EpVyz1LRu6ZX6lquWfJyD3zK1Vdxb1FFkvY2Z75VamuYt4ii6fSlftZzjB5Yq7o6oBFVtfkvO5IB2Z5CDgAMbx82WV+Ta+2yEIRdx360U2Git3rWTDu9cyvVLXcs2TknvmVqpZ7lozcM79S1VXcW2SxhJ3tmV+V6irmLbJ4Kl25n+UMkyfmiq4OWGR1Tc7rjnRgloeAAxDDy5dd5tf0aossFHHXoR/dZKjYvZ4F417P/EpVyz1LRu6ZX6lquWfJyD3zK1Vdxb1FFkvY2Z75VamuYt4ii6fSlftZzjB5Yq7o6oBFVtfkvO5IB2Z5CDgAMbx82WV+Ta+2yEIRdx360U2Git3rWTDu9cyvVLXcs2TknvmVqpZ7lozcM79S1VXcW2SxhJ3tmV+V6irmLbJ4Kl25n+UMkyfmiq4OWGR1Tc7rjnRgloeAAxDDy5dd5tf0aossFHHXoR/dZKjYvZ4F417P/EpVyz1LRu6ZX6lquWfJyD3zK1Vdxb1FFkvY2Z75VamuYt4ii6fSlftZzjB5Yq7o6oBFVtfkvO5IB2Z5CDgAMbx82WV+Ta+2yEIRdx360U2Git3rWTDu9cyvVLXcs2TknvmVqpZ7lozcM79S1VXcW2SxhJ3tmV+V6irmLbJ4Kl25n+UMkyfmiq4OWGR1Tc7rjnRgloeAAxDDy5dd5tf0aossFHHXoR/dZKjYvZ4F417P/EpVyz1LRu6ZX6lquWfJyD3zK1Vdxb1FFkvY2Z75VamuYt4ii6fSlftZzjB5Yq7o6oBFVtfkvO5IB2Z5CDgAMbx82WV+Ta+2yEIRdx360U2Git3rWTDu9cyvVLXcs2TknvmVqpZ7lozcM79S1VXcW2SxhJ3tmV+V6irmLbJ4Kl25n+UMkyfmiq4OWGR1Tc7rjnRgloeAAxDDy5dd5tf0aossFHHXoR/dZKjYvZ4F417P/EpVyz1LRu6ZX6lquWfJyD3zK1Vdxb1FFkvY2Z75VamuYt4ii6fSlftZzjB5Yq7o6oBFVtfkvO5IB2Z5CDgAMbx82WV+Ta+2yEIRdx360U2Git3rWTDu9cyvVLXcs2TknvmVqpZ7lozcM79S1VXcW2SxhJ3tmV+V6irmLbJ4Kl25n+UMkyfmiq4OWGR1Tc7rjnRgloeAAxDDy5dd5tf0aossFHHXoR/dZKjYvZ4F417P/EpVyz1LRu6ZX6lquWfJyD3zK1Vdxb1FFkvY2Z75VamuYt4ii6fSlftZzjB5Yq7o6oBFVtfkvO5IB2Z5CDgAMbx82WV+Ta+2yEIRdx360U2Git3rWTDu9cyvVLXcs2TknvmVqpZ7lozcM79S1VXcW2SxhJ3tmV+V6irmLbJ4Kl25n+UMkyfmiq4OWGR1Tc7rjnRgloeAAxDDy5dd5tf0aossFHHXoR/dZKjYvZ4F417P/EpVyz1LRu6ZX6lquWfJyD3zK1Vdxb1FFkvY2Z75VamuYt4ii6fSlftZzjB5Yq7o6oBFVtfkvO5IB2Z5CDgAMbx82WV+Ta+2yEIRdx360U2Git3rWTDu9cyvVLXcs2TknvmVqpZ7lozcM79S1VXcW2SxhJ3tmV+V6irmLbJ4Kl25n+UMkyfmiq4OWGR1Tc7rjnRgloeAAxDDy5dd5tf0aossFHHXoR/dZKjYvZ4F417P/EpVyz1LRu6ZX6lquWfJyD3zK1Vdxb1FFkvY2Z75VamuYt4ii6fSlftZzjB5Yq7o6oBFVtfkvO5IB2Z5CDgAMbx82WV+Ta+2yEIRdx360U2Git3rWTDu9cyvVLXcs2TknvmVqpZ7lozcM79S1VXcW2SxhJ3tmV+V6irmLbJ4Kl25n+UMkyfmiq4OWGR1Tc7rjnRgloeAAxDDy5dd5tf0aossFHHXoR/dZKjYvZ4F417P/EpVyz1LRu6ZX6lquWfJyD3zK1Vdxb1FFkvY2Z75VamuYt4ii6fSlftZzjB5Yq7o6oBFVtfkvO5IB2Z5CDgAMbx82WV+Ta+2yEIRdx360U2Git3rWTDu9cyvVLXcs2TknvmVqpZ7lozcM79S1VXcW2SxhJ3tmV+V6irmLbJ4Kl25n+UMkyfmiq4OWGR1Tc7rjnRgloeAAxDDy5dd5tf0aossFHHXoR/dZKjYvZ4F417P/EpVyz1LRu6ZX6lquWfJyD3zK1Vdxb1FFkvY2Z75VamuYt4ii6fSlftZzjB5Yq7o6oBFVtfkvO5IB2Z5CDgAMbx82WV+Ta+2yEIRdx360U2Git3rWTDu9cyvVLXcs2TknvmVqpZ7lozcM79S1VXcW2SxhJ3tmV+V6irmLbJ4Kl25n+UMkyfmiq4OWGR1Tc7rjnRgloeAAxDDy5dd5tf0aossFHHXoR/dZKjYvZ4F417P/EpVyz1LRu6ZX6lquWfJyD3zK1Vdxb1FFkvY2Z75VamuYt4ii6fSlftZzjB5Yq7o6oBFVtfkvO5IB2Z5CDgAMbx82WV+Ta+2yEIRdx360U2Git3rWTDu9cyvVLXcs2TknvmVqpZ7lozcM79S1VXcW2SxhJ3tmV+V6irmLbJ4Kl25n+UMkyfmiq4OWGR1Tc7rjnRgloeAAxDDy5dd5tf0aossFHHXoR/dZKjYvZ4F417P/EpVyz1LRu6ZX6lquWfJyD3zK1Vdxb1FFkvY2Z75VamuYt4ii6fSlftZzjB5Yq7o6oBFVtfkvO5IB2Z5CDgAMbx82WV+Ta+2yEIRdx360U2Git3rWTDu9cyvVLXcs2TknvmVqpZ7lozcM79S1VXcW2SxhJ3tmV+V6irmLbJ4Kl25n+UMkyfmiq4OWGR1Tc7rjnRgloeAAxDDy5dd5tf0aossFHHXoR/dZKjYvZ4F417P/EpVyz1LRu6ZX6lquWfJyD3zK1Vdxb1FFkvY2Z75VamuYt4ii6fSlftZzjB5Yq7o6oBFVtfkvO5IB2Z5CDgAMbx82WV+Ta+2yEIRdx360U2Git3rWTDu9cyvVLXcs2TknvmVqpZ7lozcM79S1VXcW2SxhJ3tmV+V6irmLbJ4Kl25n+UMkyfmiq4OWGR1Tc7rjnRgloeAAxDDy5dd5tf0aossFHHXoR/dZKjYvZ4F417P/EpVyz1LRu6ZX6lquWfJyD3zK1Vdxb1FFkvY2Z75VamuYt4ii6fSlftZzjB5Yq7o6oBFVtfkvO5IB2Z5CDgAMbx82WV+Ta+2yEIRdx360U2Git3rWTDu9cyvVLXcs2TknvmVqpZ7lozcM79S1VXcW2SxhJ3tmV+V6irmLbJ4Kl25n+UMkyfmiq4OWGR1Tc7rjnRgloeAAxDDy5dd5tf0aossFHHXoR/dZKjYvZ4F417P/EpVyz1LRu6ZX6lquWfJyD3zK1Vdxb1FFkvY2Z75VamuYt4ii6fSlftZzjB5Yq7o6oBFVtfkvO5IB2Z5CDgAMbx82WV+Ta+2yEIRdx360U2Git3rWTDu9cyvVLXcs2TknvmVqpZ7lozcM79S1VXcW2SxhJ3tmV+V6irmLbJ4Kl25n+UMkyfmiq4OWGR1Tc7rjnRgloeAAxDDy5dd5tf0aossFHHXoR/dZKjYvZ4F417P/EpVyz1LRu6ZX6lquWfJyD3zK1Vdxb1FFkvY2Z75VamuYt4ii6fSlftZzjB5Yq7o6oBFVtfkbqLrvuSSS8anPvWp9X9nn332+r9LL710/enPec5zximnnIKu5AMf+MA4+eST19/nG9/4xrjjHe84DjjggPG85z1vHHTQQeh7XZ/4e9/73vjTP/3T8c53vnNceOGF48orrxx3v/vdx1Oe8pTxohe9aOyzzz5ln3XtbzTLQ8ABiOHhyy7za3q1RRaKuOvQj24yVOxez4Jxr2d+parlniUj98yvVLXcs2TknvmVqq7i3iKLJexsz/yqVFcxb5HFU+nK/SxnmDwxV3R1wCKra3I30XXvsssu2/wkUmRdffXV67LqLW95yza/35FHHjlOOumkcbOb3Wyju7vgggvGwQcfPL70pS9t9fvsvvvu49RTTx2HHHLIRp+ztcWzPAQcgBgavuwyv6ZXW2ShiLsO/egmQ8Xu9SwY93rmV6pa7lkycs/8SlXLPUtG7plfqeoq7i2yWMLO9syvSnUV8xZZPJWu3M9yhskTc0VXByyyuiZ3E133tYuse9zjHmO//fYbW7ZsWX86KbJe+cpXjte//vXrdQ960IPGy1/+8nHPe95z/dNSxx9//PjMZz6z/reV7rWvfe0O3913v/vd8dCHPnR88YtfXH+Po446ajzzmc8cu+666zj99NPH6173unH55ZePW9/61uMTn/jEeOADH7jDn7W1hbM8BByAGBa+7DK/pldbZKGIuw796CZDxe71LBj3euZXqlruWTJyz/xKVcs9S0bumV+p6iruLbJYws72zK9KdRXzq2uSe5ZMV+5nOcNkaanu7IBFVuf0boJrP+6449a/+m/1353vfOfxla98Zey7777rT97eImtVKu2///7jqquuWpdMH/vYx9bF0g+/Vr8G8DGPecw455xzxi1ucYvxuc99btzrXvfaobv77d/+7fHqV796vXZVkB177LHX+T5nnnnm+rNW17L6fz/60Y/u0Odsa9EsDwEHIIaFL7vMr+nVFlko4q5DP7rJULF7PQvGvZ75laqWe5aM3DO/UtVyz5KRe+ZXqrqKew/0WcLO9syvSnUV86trknuWTFfuZznDZGmp7uyARVbn9Ba49h0psl7wgheME088cX21Z5111nj4wx/+f678k5/85HjEIx6x/t9X+hNOOAHf3fe///3139y67LLLxn3uc5/xT//0T1v9NYXHHHPM+lcYrr5Wf/trVdJVfc3yEHAAYkT4ssv8ml5tkYUi7jr0o5sMFbvXs2Dc65lfqWq5Z8nIPfMrVS33LBm5Z36lqqu490CfJexsz/yqVFcxv7omuWfJdOV+ljNMlpbqzg5YZHVOb4Frp0XWNddcM/bee+/x1a9+df1rCVc/bbWtr9W/f+ELXxh77bXXuPjii8f1/X2urX2P1a88fNKTnrT+p9WvMXzFK16x1Y+6dmnVxtASAAAgAElEQVS26a8y/N8fMMtDwAGI/X8uX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9x7os4Sd7Zlfleoq5i2yeCpduZ/lDJMn5oquDlhkdU1uoeumRda//Mu/rP8W1urr6KOPHm984xu3eeWrfz/55JPX/75a98NfYbi9t3rtXyu4rZ/8Wn2v1a8VvO1tbztWv9Lw0Y9+9DjjjDO29yNuUDfLQ8AB6Aajvo7Al13m1/RqiywUcdehH91kqNi9ngXjXs/8SlXLPUtG7plfqWq5Z8nIPfMrVV3FvUUWS9jZnvlVqa5ifnVNcs+S6cr9LGeYLC3VnR2wyOqc3gLXTous973vfePQQw9dX+kb3vCG8ZKXvGSbV73695e+9KXrf3//+98/Dj74YHSHhx9++DjttNPWa7797W+PPfbYY5vrH/CAB4xzzz13/asIL7nkEvQ51yee5SHgAMSQ8GWX+TW92iILRdx16Ec3GSp2r2fBuNczv1LVcs+SkXvmV6pa7lkycs/8SlVXce+BPkvY2Z75VamuYn51TXLPkunK/SxnmCwt1Z0dsMjqnN4C106LrNVPYD3/+c9fX+k73/nOsSqbtvX1rne9azz96U9f//Nq3eontMjX6m9v/cM//MPYbbfdxuWXX369Sw855JB1Wbb6+s///M9xq1vdars+arXJX9/X1772tfGwhz1sLVn9esTVr1Xs+OUAxFLzZZf5Nb3aIgtF3HXoRzcZKnavZ8G41zO/UtVyz5KRe+ZXqlruWTJyz/xKVVdx74E+S9jZnvlVqa5ifnVNcs+S6cq9RRbLWfXyDlhkLZ9BqyugRdbv/d7vjZe//OXre/zABz4wnvzkJ2/zflf//sOfwvr93//98bKXvQx5s//++4/zzz9/3PnOdx7//u//fr1rn/GMZ4x3vOMda803v/nNseeee27XZ5G/22WR9f8tdQDaLrR+JOo6ALG7nFxtkYUClnlkV6nYl11mpwebzK9UtdyzZOSe+ZWqlnuWjNwzv1LVVdz7PssSdrZnflWqq5j3HIen0pV7iyyetSuWdcAia1n/2306LbJe/epXj9Xfrlp9ffjDHx4/+7M/u817/shHPjIe//jHr/99te63fuu3kD+rv8W1+ttad7/73cdFF110vWt/+Zd/ebztbW9ba0jhZJGFIlmLHfyZZ10HIHaXk6stslDAMo/sKhX7ssvs9GCT+ZWqlnuWjNwzv1LVcs+SkXvmV6q6invfZ1nCzvbMr0p1FfOe4/BUunJvkcWzdsWyDlhkLet/u0+nRdZsP5HlrxbkyDr4M8+6DkDsLidXW2ShgGUe2VUq9mWX2enBJvMrVS33LBm5Z36lquWeJSP3zK9UdRX3vs+yhJ3tmV+V6irmLbJ4Kl25t8jiWbtiWQcsspb1v92n0yJrtr+RdUOBzfIQcAC6oaSv++++7DK/pldbZKGIuw796CZDxe71LBj3euZXqlruWTJyz/xKVcs9S0bumV+p6iruLbJYws72zK9KdRXzFlk8la7cz3KGyRNzRVcHLLK6JrfQddMi633ve9849NBD11f7hje8YbzkJS/Z5pWv/v2lL33p+t/f//73/+jvZW3vrR5++OHjtNNOW8u//e1vjz322GObSx/wgAeMc889d9zxjnccl1xyyfZ+xA3qZnkIOADdYNTXEfiyy/yaXm2RhSLuOvSjmwwVu9ezYNzrmV+parlnycg98ytVLfcsGblnfqWqq7i3yGIJO9szvyrVVcyvrknuWTJduZ/lDJOlpbqzAxZZndNb4NppkbX6m1Wrv121+jr66KPH6ie0tvW1+veTTz55/c+rdfvuuy+6w9Xf4lr9ba3V11lnnTUe/vCHb3X9VVddtS65rrjiivHoRz96nHHGGehzrk88y0PAAYgh4csu82t6tUUWirjr0I9uMlTsXs+Cca9nfqWq5Z4lI/fMr1S13LNk5J75laqu4t4DfZawsz3zq1JdxfzqmuSeJdOV+1nOMFlaqjs7YJHVOb0Frp0WWddcc83Ye++9x1e/+tWx3377jc997nPbvOr73Oc+4/Of//zYa6+9xsUXXzx22WUXdIdbtmwZT3rSk9ZrXv/6149XvOIVW13/yU9+cjziEY9Y/9srX/nK8drXvhZ9zvWJZ3kIOAAxJHzZZX5Nr7bIQhF3HfrRTYaK3etZMO71zK9UtdyzZOSe+ZWqlnuWjNwzv1LVVdx7oM8SdrZnflWqq5hfXZPcs2S6cj/LGSZLS3VnByyyOqe3wLXTImt1iS94wQvGiSeeuL7abf2k1LXLpZX+hBNOwHf3X//1X+NOd7rTuOyyy8aqFPvnf/7nrZZhxxxzzDjppJPW3/9Tn/rUOOCAA/BnbWvBLA8BByCGhC+7zK/p1RZZKOKuQz+6yVCxez0Lxr2e+ZWqlnuWjNwzv1LVcs+SkXvmV6q6insP9FnCzvbMr0p1FfOra5J7lkxX7mc5w2Rpqe7sgEVW5/QWuPYdKbK++MUvjvve977jBz/4wXjoQx86Pvaxj41dd931R1f/H//xH+tf8XfOOeeMW9ziFuP8888fP/mTP/l/7u6II44Yb33rW9f/++mnnz4e+9jH/h/NtX+94PHHHz+OPfbY62hWRdrqs1a/XvAxj3nM+OhHP1rq4iwPAQcghoUvu8yv6dUWWSjirkM/uslQsXs9C8a9nvmVqpZ7lozcM79S1XLPkpF75lequop7D/RZws72zK9KdRXzFlk8la7cz3KGyRNzRVcHLLK6JncTXffHP/7xccEFF/zo0775zW/+qBw68MADx5FHHnmdK1mVTVv7Wv0Kv9Wv+1t9PehBD1r/2r/V38668MILx+/+7u+Oz3zmM+t/u75f9bc9RdZ3v/vddVm2Ks9WX8973vPGM5/5zHVxtiq/Vr9G8PLLL1//32eeeeZ44AMfWOrkLA8BByCGhS+7zK/p1RZZKOKuQz+6yVCxez0Lxr2e+ZWqlnuWjNwzv1LVcs+SkXvmV6q6inuLLJawsz3zq1JdxfzqmuSeJdOV+1nOMFlaqjs7YJHVOb2b4NqvXR5tz8et/ibW1r6uvvrqcdRRR40///M/3+a3+ZVf+ZVx8sknj5vd7GZb1WxPkbVauCreDj744PGlL31pq99n9913H6eeeuo45JBDtueWkGaWh4ADEIp9+LLL/JpebZGFIu469KObDBW717Ng3OuZX6lquWfJyD3zK1Ut9ywZuWd+paqruPdAnyXsbM/8qlRXMb+6JrlnyXTlfpYzTJaW6s4OWGR1Tu8muPaqIuuHl/q3f/u367Lq7LPPHquf7rrDHe6w/htVRx999DjooIOu9462t8hafZMrrrhi/Xe23vnOd66LrdXfz7r73e++Lrhe/OIXj3322edGcW+Wh4ADEMPDl13m1/RqiywUcdehH91kqNi9ngXjXs/8SlXLPUtG7plfqWq5Z8nIPfMrVV3FvQf6LGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdATtJPcAACAASURBVOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX9OrLbJQxF2HfnSToWL3ehaMez3zK1Ut9ywZuWd+parlniUj98yvVHUV9xZZLGFne+ZXpbqKeYssnkpX7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/k1vdoiC0XcdehHNxkqdq9nwbjXM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUSdrZnflWqq5i3yOKpdOV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX4lqmWepyDzzK1Ut9ywZuWd+parlniUj98yvVLXcs2TknvmVqq7i3iKLJdz1QJ/dZaa6inmLLJ5vV+5nOcPkibmiqwMWWV2T87ojHZjlIeAAxPDyZZf5laiWeZaKzDO/UtVyz5KRe+ZXqlruWTJyz/xKVcs9S0bumV+p6iruLbJYwl0P9NldZqqrmLfI4vl25X6WM0yemCu6OmCR1TU5rzvSgVkeAg5ADC9fdplfiWqZZ6nIPPMrVS33LBm5Z36lquWeJSP3zK9UtdyzZOSe+ZWqruLeIosl3PVAn91lprqKeYssnm9X7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/mVqJZ5lorMM79S1XLPkpF75leqWu5ZMnLP/EpVyz1LRu6ZX6nqKu4tsljCXQ/02V1mqquYt8ji+XblfpYzTJ6YK7o6YJHVNTmvO9KBWR4CDkAML192mV+Japlnqcg88ytVLfcsGblnfqWq5Z4lI/fMr1S13LNk5J75laqu4t4iiyXc9UCf3WWmuop5iyyeb1fuZznD5Im5oqsDFlldk/O6Ix2Y5SHgAMTw8mWX+ZWolnmWiswzv1LVcs+SkXvmV6pa7lkycs/8SlXLPUtG7plfqeoq7i2yWMJdD/TZXWaqq5i3yOL5duV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX4lqmWepyDzzK1Ut9ywZuWd+parlniUj98yvVLXcs2TknvmVqq7i3iKLJdz1QJ/dZaa6inmLLJ5vV+5nOcPkibmiqwMWWV2T87ojHZjlIeAAxPDyZZf5laiWeZaKzDO/UtVyz5KRe+ZXqlruWTJyz/xKVcs9S0bumV+p6iruLbJYwl0P9NldZqqrmLfI4vl25X6WM0yemCu6OmCR1TU5rzvSgVkeAg5ADC9fdplfiWqZZ6nIPPMrVS33LBm5Z36lquWeJSP3zK9UtdyzZOSe+ZWqruLeIosl3PVAn91lprqKeYssnm9X7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/mVqJZ5lorMM79S1XLPkpF75leqWu5ZMnLP/EpVyz1LRu6ZX6nqKu4tsljCXQ/02V1mqquYt8ji+XblfpYzTJ6YK7o6YJHVNTmvO9KBWR4CDkAML192mV+Japlnqcg88ytVLfcsGblnfqWq5Z4lI/fMr1S13LNk5J75laqu4t4iiyXc9UCf3WWmuop5iyyeb1fuZznD5Im5oqsDFlldk/O6Ix2Y5SHgAMTw8mWX+ZWolnmWiswzv1LVcs+SkXvmV6pa7lkycs/8SlXLPUtG7plfqeoq7i2yWMJdD/TZXWaqq5i3yOL5duV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX4lqmWepyDzzK1Ut9ywZuWd+parlniUj98yvVLXcs2TknvmVqq7i3iKLJdz1QJ/dZaa6inmLLJ5vV+5nOcPkibmiqwMWWV2T87ojHZjlIeAAxPDyZZf5laiWeZaKzDO/UtVyz5KRe+ZXqlruWTJyz/xKVcs9S0bumV+p6iruLbJYwl0P9NldZqqrmLfI4vl25X6WM0yemCu6OmCR1TU5rzvSgVkeAg5ADC9fdplfiWqZZ6nIPPMrVS33LBm5Z36lquWeJSP3zK9UtdyzZOSe+ZWqruLeIosl3PVAn91lprqKeYssnm9X7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/mVqJZ5lorMM79S1XLPkpF75leqWu5ZMnLP/EpVyz1LRu6ZX6nqKu4tsljCXQ/02V1mqquYt8ji+XblfpYzTJ6YK7o6YJHVNTmvO9KBWR4CDkAML192mV+Japlnqcg88ytVLfcsGblnfqWq5Z4lI/fMr1S13LNk5J75laqu4t4iiyXc9UCf3WWmuop5iyyeb1fuZznD5Im5oqsDFlldk/O6Ix2Y5SHgAMTw8mWX+ZWolnmWiswzv1LVcs+SkXvmV6pa7lkycs/8SlXLPUtG7plfqeoq7i2yWMJdD/TZXWaqq5i3yOL5duV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX4lqmWepyDzzK1Ut9ywZuWd+parlniUj98yvVLXcs2TknvmVqq7i3iKLJdz1QJ/dZaa6inmLLJ5vV+5nOcPkibmiqwMWWV2T87ojHZjlIeAAxPDyZZf5laiWeZaKzDO/UtVyz5KRe+ZXqlruWTJyz/xKVcs9S0bumV+p6iruLbJYwl0P9NldZqqrmLfI4vl25X6WM0yemCu6OmCR1TU5rzvSgVkeAg5ADC9fdplfiWqZZ6nIPPMrVS33LBm5Z36lquWeJSP3zK9UtdyzZOSe+ZWqruLeIosl3PVAn91lprqKeYssnm9X7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/mVqJZ5lorMM79S1XLPkpF75leqWu5ZMnLP/EpVyz1LRu6ZX6nqKu4tsljCXQ/02V1mqquYt8ji+XblfpYzTJ6YK7o6YJHVNTmvO9KBWR4CDkAML192mV+Japlnqcg88ytVLfcsGblnfqWq5Z4lI/fMr1S13LNk5J75laqu4t4iiyXc9UCf3WWmuop5iyyeb1fuZznD5Im5oqsDFlldk/O6Ix2Y5SHgAMTw8mWX+ZWolnmWiswzv1LVcs+SkXvmV6pa7lkycs/8SlXLPUtG7plfqeoq7i2yWMJdD/TZXWaqq5i3yOL5duV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX4lqmWepyDzzK1Ut9ywZuWd+parlniUj98yvVLXcs2TknvmVqq7i3iKLJdz1QJ/dZaa6inmLLJ5vV+5nOcPkibmiqwMWWV2T87ojHZjlIeAAxPDyZZf5laiWeZaKzDO/UtVyz5KRe+ZXqlruWTJyz/xKVcs9S0bumV+p6iruLbJYwl0P9NldZqqrmLfI4vl25X6WM0yemCu6OmCR1TU5rzvSgVkeAg5ADC9fdplfiWqZZ6nIPPMrVS33LBm5Z36lquWeJSP3zK9UtdyzZOSe+ZWqruLeIosl3PVAn91lprqKeYssnm9X7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/mVqJZ5lorMM79S1XLPkpF75leqWu5ZMnLP/EpVyz1LRu6ZX6nqKu4tsljCXQ/02V1mqquYt8ji+XblfpYzTJ6YK7o6YJHVNTmvO9KBWR4CDkAML192mV+Japlnqcg88ytVLfcsGblnfqWq5Z4lI/fMr1S13LNk5J75laqu4t4iiyXc9UCf3WWmuop5iyyeb1fuZznD5Im5oqsDFlldk/O6Ix2Y5SHgAMTw8mWX+ZWolnmWiswzv1LVcs+SkXvmV6pa7lkycs/8SlXLPUtG7plfqeoq7i2yWMJdD/TZXWaqq5i3yOL5duV+ljNMnpgrujpgkdU1Oa870oFZHgIOQAwvX3aZX4lqmWepyDzzK1Ut9ywZuWd+parlniUj98yvVLXcs2TknvmVqq7i3iKLJdz1QJ/dZaa6inmLLJ5vV+5nOcPkibmiqwMWWV2T87ojHZjlIeAAxPDyZZf5laiWeZaKzDO/UtVyz5KRe+ZXqlruWTJyz/xKVcs9S0bumV+p6iruLbJYwl0P9NldZqqrmLfI4vl25X6WM0yemCu6OmCR1TU5rzvSgVkeAg5ADC9fdplfiWqZZ6nIPPMrVS33LBm5Z36lquWeJSP3zK9UtdyzZOSe+ZWqruLeIosl3PVAn91lprqKeYssnm9X7mc5w+SJuaKrAxZZXZPzuiMdmOUh4ADE8PJll/mVqJZ5lorMM79S1XLPkpF75leqWu5ZMnLP/EpVyz1LRu6ZX6nqKu4tsljCXQ/02V1mqquYt8ji+XblfpYzTJ6YK7o6YJHVNTmvO9KBWR4CDkAML192mV+Japlnqcg88ytVLfcsGblnfqWq5Z4lI/fMr1S13LNk5J75laqu4t4iiyXc9UCf3WWmuop5iyyeb1fuZznD5Im5oqsDFlldk2t03Y997GPHGWecga749NNPH6t15OtVr3rV+J3f+Z3tWrIj3397vvEsDwEHoO1J+380vuwyvxLVMs9SkXnmV6pa7lkycs/8SlXLPUtG7plfqWq5Z8nIPfMrVV3FvUUWS7jrgT67y0x1FfMWWTzfrtzPcobJE3NFVwcssrom1+i6aZF1s5vdbFx00UVjr732QndpkYXsul6xAxDz0pdd5leiWuZZKjLP/EpVyz1LRu6ZX6lquWfJyD3zK1Ut9ywZuWd+paqruLfIYgl3PdBnd5mprmLeIovn25V7iyyetSuWdcAia1n/d4pP//KXvzyuuOKK673X888/fzzjGc9Ya57whCeMLVu2YG+uXWSdd95517t+3333Hbvtthv+jBtaMMtDwAHohpK+7r/7ssv8SlTLPEtF5plfqWq5Z8nIPfMrVS33LBm5Z36lquWeJSP3zK9UdRX3Flks4a4H+uwuM9VVzK/uTu5Zxl25n+UMk6WlurMDFlmd05vo2l/xileM448/fn1Hb3vb28azn/1sfHfXLrKuueYavL5iwSwPAQcgRoMvu8yvRLXMs1RknvmVqpZ7lozcM79S1XLPkpF75leqWu5ZMnLP/EpVV3HvgT5LuOuBPrvLTHUV8xZZPN+u3M9yhskTc0VXByyyuiY30XVfffXV4x73uMf4t3/7t3Gb29xmfP3rXx+3vvWt8R1aZGHLtrnAAYh56csu8ytRLfMsFZlnfqWq5Z4lI/fMr1S13LNk5J75laqWe5aM3DO/UtVV3FtksYS7Huizu8xUVzFvkcXz7cq9RRbP2hXLOmCRtaz/fvoY40Mf+tB44hOfuPbiiCOOGH/xF3+xQ75YZO2QbVtd5ADEvPRll/mVqJZ5lorMM79S1XLPkpF75leqWu5ZMnLP/EpVyz1LRu6ZX6nqKu4tsljCXQ/02V1mqquYt8ji+Xbl3iKLZ+2KZR2wyFrWfz99jPFLv/RL4+1vf/vai4985CPjcY973A75YpG1Q7ZZZBXY5stugYkLfwuHfhaAzDO/UtVyz5KRe+ZXqlruWTJyz/xKVcs9S0bumV+p6iruLbJYwl0P9NldZqqrmLfI4vl25d4ii2ftimUdsMha1v+d/tMvv/zycZe73GVcccUVY5999hlf/vKXxy677LJDvly7yHrCE54wPvvZz47vfOc7Y4899hj3ve99x5Of/ORx9NFHj9vd7nY79P23Z9EsDwEHoO1J+380vuwyvxLVMs9SkXnmV6pa7lkycs/8SlXLPUtG7plfqWq5Z8nIPfMrVV3FvUUWS7jrgT67y0x1FfMWWTzfrtzPcobJE3NFVwcssromN8l1v/Wtb13/OsHV12/+5m+O17zmNTt8Z9cusrb1TVal1imnnDIOO+ywHfqc1SZ/fV9f+9rXxsMe9rC15OKLLx577733Dn3O0oscgFgCvuwyvxLVMs9SkXnmV6pa7lkycs/8SlXLPUtG7plfqWq5Z8nIPfMrVV3FvUUWS7jrgT67y0x1FfOru5N7lnFX7i2yWM6ql3fAImv5DHbqK3j84x+//nWCq68vfOEL4973vvcO+7Eqst797nePn//5n1+XSXe7293G97///fX3PfXUU8eWLVvW3/vmN7/5eO973zsOOugg/Fnkp8Ussv6/vQ5ADLOuAxC7yzy1Qz/LxAMe5leqWu5ZMnLP/EpVyz1LRu6ZX6lquWfJyD3zK1Vdxb3vsyxh32eZX5XqKuY9x+GpdOXeIotn7YplHbDIWtb/nfrTVxvm6tcJXn311ePhD3/4OOusszby44e/RnBb3+Skk04axxxzzPqfVyXXhRdeOH7sx34MfaZFFrJrLXbwZ551HYDYXeapHfpZJh7wML9S1XLPkpF75leqWu5ZMnLP/EpVyz1LRu6ZX6nqKu59n2UJ+z7L/KpUVzHvOQ5PpSv3Flk8a1cs64BF1rL+79Sf/vrXv3688pWvXHtw4okn/qhkujFNOfLII8db3vKW9Ue8/e1vH7/4i7+IPs5fLYjsWosd/JlnXQcgdpd5aod+lokHPMyvVLXcs2TknvmVqpZ7lozcM79S1XLPkpF75lequop732dZwr7PMr8q1VXMe47DU+nKvUUWz9oVyzpgkbWs/zv1p++///7j/PPPH7e61a3G6m9L3e52t7vR/Tj77LN/9DesjjrqqHHyySeXfuYsDwEHIIaFL7vMr0S1zLNUZJ75laqWe5aM3DO/UtVyz5KRe+ZXqlruWTJyz/xKVVdxb5HFEu56oM/uMlNdxbxFFs+3K/eznGHyxFzR1QGLrK7JNb/uc845ZxxwwAHru3ja05423vWud90kd3TFFVeM29zmNuvPOvjgg8f73//+0s+d5SHgAMSw8GWX+ZWolnmWiswzv1LVcs+SkXvmV6pa7lkycs/8SlXLPUtG7plfqeoq7i2yWMJdD/TZXWaqq5i3yOL5duV+ljNMnpgrujpgkdU1uebX/aIXvWj8yZ/8yfou3vOe94xDDz30Jrmj733ve2O33XazyLoBtx2AGI6+7DK/EtUyz1KReeZXqlruWTJyz/xKVcs9S0bumV+parlnycg98ytVXcW9RRZLuOuBPrvLTHUV8xZZPN+u3Ftk8axdsawDFlnL+r9Tfvr3v//9sddee41vfOMb4453vOP46le/Om5xi1vcJF5c+yfBVn8v601velPp587yEHAAYlj4ssv8SlTLPEtF5plfqWq5Z8nIPfMrVS33LBm5Z36lquWeJSP3zK9UdRX3Flks4a4H+uwuM9VVzFtk8Xy7cj/LGSZPzBVdHbDI6ppc4+te/QTWYYcdtr6DF7/4xeMP//APb7K7Wf1drDe/+c3rz3vb2942nv3sZ5d+9iwPAQcghoUvu8yvRLXMs1RknvmVqpZ7lozcM79S1XLPkpF75leqWu5ZMnLP/EpVV3FvkcUS7nqgz+4yU13FvEUWz7cr97OcYfLEXNHVAYusrsk1vu7DDz98nHbaaes7+PSnPz0e/OAH3+DdnHLKKeO5z33uWnfccceNV73qVddZc955541dd9113Ote99rm9zr55JPH0Ucfvf73u9zlLuOCCy740a8ZvMEL2E7BLA8BB6DtDPy/Zb7sMr8S1TLPUpF55leqWu5ZMnLP/EpVyz1LRu6ZX6lquWfJyD3zK1Vdxb1FFku464E+u8tMdRXzq7uTe5ZxV+5nOcNkaanu7IBFVuf0Gl77t7/97XHXu951XHnlleN+97vfWBVQ2/N1Q0XW6t9XvyrwcY973DjooIPG/e9//7HnnnuOq666anz+858fp5566tiyZcv6o25+85uPv/7rv75R/i7XLA8BB6DtofJ/NL7sMr8S1TLPUpF55leqWu5ZMnLP/EpVyz1LRu6ZX6lquWfJyD3zK1Vdxb0H+izhrgf67C4z1VXMW2TxfLtyP8sZJk/MFV0dsMjqmlzT637jG984nv/856+v/vjjjx/HHnvsdt3J9hRZP/yJrev7hqty6y1vecuPfrXhdn04EM3yEHAAAqGPMXzZZX4lqmWepSLzzK9UtdyzZOSe+ZWqlnuWjNwzv1LVcs+SkXvmV6q6inuLLJZw1wN9dpeZ6irmLbJ4vl25n+UMkyfmiq4OWGR1Ta7pdR944IHjzDPPXP9U1EUXXTTudre7bded3FCRdckll4z3ve9946yzzhqf+cxnxte//vVx6aWXjmuuuWbc/va3Hw94wAPGk5/85HHEEUeM3Xfffbs+c0dEszwEHIBY+r7sMr8S1TLPUpF55leqWu5ZMnLP/EpVyz1LRu6ZX6lquWfJyD3zK1Vdxb1FFku464E+u8tMdRXzFlk8367cz3KGyRNzRVcHLLK6Jud1Rzowy0PAAYjh5csu8ytRLfMsFZlnfqWq5Z4lI/fMr1S13LNk5J75laqWe5aM3DO/UtVV3FtksYS7Huizu8xUVzFvkcXz7cr9LGeYPDFXdHXAIqtrcl53pAOzPAQcgBhevuwyvxLVMs9SkXnmV6pa7lkycs/8SlXLPUtG7plfqWq5Z8nIPfMrVV3FvUUWS7jrgT67y0x1FfMWWTzfrtzPcobJE3NFVwcssrom53VHOjDLQ8ABiOHlyy7zK1Et8ywVmWd+parlniUj98yvVLXcs2TknvmVqpZ7lozcM79S1VXcW2SxhLse6LO7zFRXMW+RxfPtyv0sZ5g8MVd0dcAiq2tyXnekA7M8BByAGF6+7DK/EtUyz1KReeZXqlruWTJyz/xKVcs9S0bumV+parlnycg98ytVXcW9RRZLuOuBPrvLTHUV8xZZPN+u3M9yhskTc0VXByyyuibndUc6MMtDwAGI4eXLLvMrUS3zLBWZZ36lquWeJSP3zK9UtdyzZOSe+ZWqlnuWjNwzv1LVVdxbZLGEux7os7vMVFcxb5HF8+3K/SxnmDwxV3R1wCKra3Jed6QDszwEHIAYXr7sMr8S1TLPUpF55leqWu5ZMnLP/EpVyz1LRu6ZX6lquWfJyD3zK1Vdxb1FFku464E+u8tMdRXzFlk8367cz3KGyRNzRVcHLLK6Jud1Rzowy0PAAYjh5csu8ytRLfMsFZlnfqWq5Z4lI/fMr1S13LNk5J75laqWe5aM3DO/UtVV3FtksYS7Huizu8xUVzFvkcXz7cr9LGeYPDFXdHXAIqtrcl53pAOzPAQcgBhevuwyvxLVMs9SkXnmV6pa7lkycs/8SlXLPUtG7plfqWq5Z8nIPfMrVV3FvUUWS7jrgT67y0x1FfMWWTzfrtzPcobJE3NFVwcssrom53VHOjDLQ8ABiOHlyy7zK1Et8ywVmWd+parlniUj98yvVLXcs2TknvmVqpZ7lozcM79S1VXc/z/23jZk1LQs27501JKRGlNTJvuwJESIfpjCmKNNVurkF2k/JDHF0tJsItKCKCeoTFMokcqvGjDNH+VA6lhTmEOloJLVoH05oykmptakqKCWD/dd+urrjK5tPHTt++G24OV9au3nus9z3za6t0VyDwAAIABJREFUrus8WGscZDHCrRf67JSZ6SnnHWRxvq3eb7nD5MRc0dqAg6xWcu47soEtDwFfgJhefuyyvhLTOs+o6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvd9yh8mJuaK1AQdZreTcd2QDWx4CvgAxvfzYZX0lpnWeUdF51ldqWu8ZGb1nfaWm9Z6R0XvWV2pa7xkZvWd9paanvHeQxQi3XuizU2amp5x3kMX5tnq/5Q6TE3NFawMOslrJue/IBrY8BHwBYnr5scv6SkzrPKOi86yv1LTeMzJ6z/pKTes9I6P3rK/UtN4zMnrP+kpNT3nvIIsRbr3QZ6fMTE857yCL8231fssdJifmitYGHGS1knPfkQ1seQj4AsT08mOX9ZWY1nlGRedZX6lpvWdk9J71lZrWe0ZG71lfqWm9Z2T0nvWVmp7y3kEWI9x6oc9OmZmect5BFufb6v2WO0xOzBWtDTjIaiXnviMb2PIQ8AWI6eXHLusrMa3zjIrOs75S03rPyOg96ys1rfeMjN6zvlLTes/I6D3rKzU95b2DLEa49UKfnTIzPeW8gyzOt9X7LXeYnJgrWhtwkNVKzn1HNrDlIeALENPLj13WV2Ja5xkVnWd9pab1npHRe9ZXalrvGRm9Z32lpvWekdF71ldqesp7B1mMcOuFPjtlZnrKeQdZnG+r91vuMDkxV7Q24CCrlZz7jmxgy0PAFyCmlx+7rK/EtM4zKjrP+kpN6z0jo/esr9S03jMyes/6Sk3rPSOj96yv1PSU9w6yGOHWC312ysz0lPMOsjjfVu+33GFyYq5obcBBVis59x3ZwJaHgC9ATC8/dllfiWmdZ1R0nvWVmtZ7RkbvWV+pab1nZPSe9ZWa1ntGRu9ZX6npKe8dZDHCrRf67JSZ6SnnHWRxvq3eb7nD5MRc0dqAg6xWcu47soEtDwFfgJhefuyyvhLTOs+o6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvd9yh8mJuaK1AQdZreTcd2QDWx4CvgAxvfzYZX0lpnWeUdF51ldqWu8ZGb1nfaWm9Z6R0XvWV2pa7xkZvWd9paanvHeQxQi3XuizU2amp5x3kMX5tnq/5Q6TE3NFawMOslrJue/IBrY8BHwBYnr5scv6SkzrPKOi86yv1LTeMzJ6z/pKTes9I6P3rK/UtN4zMnrP+kpNT3nvIIsRbr3QZ6fMTE857yCL8231fssdJifmitYGHGS1knPfkQ1seQj4AsT08mOX9ZWY1nlGRedZX6lpvWdk9J71lZrWe0ZG71lfqWm9Z2T0nvWVmp7y3kEWI9x6oc9OmZmect5BFufb6v2WO0xOzBWtDTjIaiXnviMb2PIQ8AWI6eXHLusrMa3zjIrOs75S03rPyOg96ys1rfeMjN6zvlLTes/I6D3rKzU95b2DLEa49UKfnTIzPeW8gyzOt9X7LXeYnJgrWhtwkNVKzn1HNrDlIeALENPLj13WV2Ja5xkVnWd9pab1npHRe9ZXalrvGRm9Z32lpvWekdF71ldqesp7B1mMcOuFPjtlZnrKeQdZnG+r91vuMDkxV7Q24CCrlZz7jmxgy0PAFyCmlx+7rK/EtM4zKjrP+kpN6z0jo/esr9S03jMyes/6Sk3rPSOj96yv1PSU9w6yGOHWC312ysz0lPMOsjjfVu+33GFyYq5obcBBVis59x3ZwJaHgC9ATC8/dllfiWmdZ1R0nvWVmtZ7RkbvWV+pab1nZPSe9ZWa1ntGRu9ZX6npKe8dZDHCrRf67JSZ6SnnHWRxvq3eb7nD5MRc0dqAg6xWcu47soEtDwFfgJhefuyyvhLTOs+o6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvd9yh8mJuaK1AQdZreTcd2QDWx4CvgAxvfzYZX0lpnWeUdF51ldqWu8ZGb1nfaWm9Z6R0XvWV2pa7xkZvWd9paanvHeQxQi3XuizU2amp5x3kMX5tnq/5Q6TE3NFawMOslrJue/IBrY8BHwBYnr5scv6SkzrPKOi86yv1LTeMzJ6z/pKTes9I6P3rK/UtN4zMnrP+kpNT3nvIIsRbr3QZ6fMTE857yCL8231fssdJifmitYGHGS1knPfkQ1seQj4AsT08mOX9ZWY1nlGRedZX6lpvWdk9J71lZrWe0ZG71lfqWm9Z2T0nvWVmp7y3kEWI9x6oc9OmZmect5BFufb6v2WO0xOzBWtDTjIaiXnviMb2PIQ8AWI6eXHLusrMa3zjIrOs75S03rPyOg96ys1rfeMjN6zvlLTes/I6D3rKzU95b2DLEa49UKfnTIzPeW8gyzOt9X7LXeYnJgrWhtwkNVKzn1HNrDlIeALENPLj13WV2Ja5xkVnWd9pab1npHRe9ZXalrvGRm9Z32lpvWekdF71ldqesp7B1mMcOuFPjtlZnrKeQdZnG+r91vuMDkxV7Q24CCrlZz7jmxgy0PAFyCmlx+7rK/EtM4zKjrP+kpN6z0jo/esr9S03jMyes/6Sk3rPSOj96yv1PSU9w6yGOHWC312ysz0lPMOsjjfVu+33GFyYq5obcBBVis59x3ZwJaHgC9ATC8/dllfiWmdZ1R0nvWVmtZ7RkbvWV+pab1nZPSe9ZWa1ntGRu9ZX6npKe8dZDHCrRf67JSZ6SnnHWRxvq3eb7nD5MRc0dqAg6xWcu47soEtDwFfgJhefuyyvhLTOs+o6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvd9yh8mJuaK1AQdZreTcd2QDWx4CvgAxvfzYZX0lpnWeUdF51ldqWu8ZGb1nfaWm9Z6R0XvWV2pa7xkZvWd9paanvHeQxQi3XuizU2amp5x3kMX5tnq/5Q6TE3NFawMOslrJue/IBrY8BHwBYnr5scv6SkzrPKOi86yv1LTeMzJ6z/pKTes9I6P3rK/UtN4zMnrP+kpNT3nvIIsRbr3QZ6fMTE857yCL8231fssdJifmitYGHGS1knPfkQ1seQj4AsT08mOX9ZWY1nlGRedZX6lpvWdk9J71lZrWe0ZG71lfqWm9Z2T0nvWVmp7y3kEWI9x6oc9OmZmect5BFufb6v2WO0xOzBWtDTjIaiXnviMb2PIQ8AWI6eXHLusrMa3zjIrOs75S03rPyOg96ys1rfeMjN6zvlLTes/I6D3rKzU95b2DLEa49UKfnTIzPeW8gyzOt9X7LXeYnJgrWhtwkNVKzn1HNrDlIeALENPLj13WV2Ja5xkVnWd9pab1npHRe9ZXalrvGRm9Z32lpvWekdF71ldqesp7B1mMcOuFPjtlZnrKeQdZnG+r91vuMDkxV7Q24CCrlZz7jmxgy0PAFyCmlx+7rK/EtM4zKjrP+kpN6z0jo/esr9S03jMyes/6Sk3rPSOj96yv1PSU9w6yGOHWC312ysz0lPMOsjjfVu+33GFyYq5obcBBVis59x3ZwJaHgC9ATC8/dllfiWmdZ1R0nvWVmtZ7RkbvWV+pab1nZPSe9ZWa1ntGRu9ZX6npKe8dZDHCrRf67JSZ6SnnHWRxvq3eb7nD5MRc0dqAg6xWcu47soEtDwFfgJhefuyyvhLTOs+o6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvd9yh8mJuaK1AQdZreTcd2QDWx4CvgAxvfzYZX0lpnWeUdF51ldqWu8ZGb1nfaWm9Z6R0XvWV2pa7xkZvWd9paanvHeQxQi3XuizU2amp5x3kMX5tnq/5Q6TE3NFawMOslrJue/IBrY8BHwBYnr5scv6SkzrPKOi86yv1LTeMzJ6z/pKTes9I6P3rK/UtN4zMnrP+kpNT3nvIIsRbr3QZ6fMTE857yCL8231fssdJifmitYGHGS1knPfkQ1seQj4AsT08mOX9ZWY1nlGRedZX6lpvWdk9J71lZrWe0ZG71lfqWm9Z2T0nvWVmp7y3kEWI9x6oc9OmZmect5BFufb6v2WO0xOzBWtDTjIaiXnviMb2PIQ8AWI6eXHLusrMa3zjIrOs75S03rPyOg96ys1rfeMjN6zvlLTes/I6D3rKzU95b2DLEa49UKfnTIzPeW8gyzOt9X7LXeYnJgrWhtwkNVKzn1HNrDlIeALENPLj13WV2Ja5xkVnWd9pab1npHRe9ZXalrvGRm9Z32lpvWekdF71ldqesp7B1mMcOuFPjtlZnrKeQdZnG+r91vuMDkxV7Q24CCrlZz7jmxgy0PAFyCmlx+7rK/EtM4zKjrP+kpN6z0jo/esr9S03jMyes/6Sk3rPSOj96yv1PSU9w6yGOHWC312ysz0lPMOsjjfVu+33GFyYq5obcBBVis59x3ZwJaHgC9ATC8/dllfiWmdZ1R0nvWVmtZ7RkbvWV+pab1nZPSe9ZWa1ntGRu9ZX6npKe8dZDHCrRf67JSZ6SnnHWRxvq3eb7nD5MRc0dqAg6xWcu47soEtDwFfgJhefuyyvhLTOs+o6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvd9yh8mJuaK1AQdZreTcd2QDWx4CvgAxvfzYZX0lpnWeUdF51ldqWu8ZGb1nfaWm9Z6R0XvWV2pa7xkZvWd9paanvHeQxQi3XuizU2amp5x3kMX5tnq/5Q6TE3NFawMOslrJue/IBrY8BHwBYnr5scv6SkzrPKOi86yv1LTeMzJ6z/pKTes9I6P3rK/UtN4zMnrP+kpNT3nvIIsRbr3QZ6fMTE857yCL8231fssdJifmitYGHGS1knPfkQ1seQj4AsT08mOX9ZWY1nlGRedZX6lpvWdk9J71lZrWe0ZG71lfqWm9Z2T0nvWVmp7y3kEWI9x6oc9OmZmect5BFufb6v2WO0xOzBWtDTjIaiXnviMb2PIQ8AWI6eXHLusrMa3zjIrOs75S03rPyOg96ys1rfeMjN6zvlLTes/I6D3rKzU95b2DLEa49UKfnTIzPeW8gyzOt9X7LXeYnJgrWhtwkNVKzn1HNrDlIeALENPLj13WV2Ja5xkVnWd9pab1npHRe9ZXalrvGRm9Z32lpvWekdF71ldqesp7B1mMcOuFPjtlZnrKeQdZnG+r91vuMDkxV7Q24CCrlZz7jmxgy0PAFyCmlx+7rK/EtM4zKjrP+kpN6z0jo/esr9S03jMyes/6Sk3rPSOj96yv1PSU9w6yGOHWC312ysz0lPMOsjjfVu+33GFyYq5obcBBVis59x3ZwJaHgC9ATC8/dllfiWmdZ1R0nvWVmtZ7RkbvWV+pab1nZPSe9ZWa1ntGRu9ZX6npKe8dZDHCrRf67JSZ6SnnHWRxvq3eb7nD5MRc0dqAg6xWcu47soEtDwFfgJhefuyyvhLTOs+o6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvd9yh8mJuaK1AQdZreTcd2QDWx4CvgAxvfzYZX0lpnWeUdF51ldqWu8ZGb1nfaWm9Z6R0XvWV2pa7xkZvWd9paanvHeQxQi3XuizU2amp5x3kMX5tnq/5Q6TE3NFawMOslrJue/IBrY8BHwBYnr5scv6SkzrPKOi86yv1LTeMzJ6z/pKTes9I6P3rK/UtN4zMnrP+kpNT3nvIIsRbr3QZ6fMTE857yCL8231fssdJifmitYGHGS1knPfkQ1seQj4AsT08mOX9ZWY1nlGRedZX6lpvWdk9J71lZrWe0ZG71lfqWm9Z2T0nvWVmp7y3kEWI9x6oc9OmZmect5BFufb6v2WO0xOzBWtDTjIaiXnviMb2PIQ8AWI6eXHLusrMa3zjIrOs75S03rPyOg96ys1rfeMjN6zvlLTes/I6D3rKzU95b2DLEa49UKfnTIzPeW8gyzOt9X7LXeYnJgrWhtwkNVKzn1HNrDlIeALENPLj13WV2Ja5xkVnWd9pab1npHRe9ZXalrvGRm9Z32lpvWekdF71ldqesp7B1mMcOuFPjtlZnrKeQdZnG+r91vuMDkxV7Q24CCrlZz7jmxgy0PAFyCmlx+7rK/EtM4zKjrP+kpN6z0jo/esr9S03jMyes/6Sk3rPSOj96yv1PSU9w6yGOHWC312ysz0lPMOsjjfVu+33GFyYq5obcBBVis59x3ZwJaHgC9ATC8/dllfiWmdZ1R0nvWVmtZ7RkbvWV+pab1nZPSe9ZWa1ntGRu9ZX6npKe8dZDHCrRf67JSZ6SnnHWRxvq3eb7nD5MRc0dqAg6xWcu47soEtDwFfgJhefuyyvhLTOs+o6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvd9yh8mJuaK1AQdZreTcd2QDWx4CvgAxvfzYZX0lpnWeUdF51ldqWu8ZGb1nfaWm9Z6R0XvWV2pa7xkZvWd9paanvHeQxQi3XuizU2amp5x3kMX5tnq/5Q6TE3NFawMOslrJue/IBrY8BHwBYnr5scv6SkzrPKOi86yv1LTeMzJ6z/pKTes9I6P3rK/UtN4zMnrP+kpNT3nvIIsRbr3QZ6fMTE857yCL8231fssdJifmitYGHGS1knPfkQ1seQj4AsT08mOX9ZWY1nlGRedZX6lpvWdk9J71lZrWe0ZG71lfqWm9Z2T0nvWVmp7y3kEWI9x6oc9OmZmect5BFufb6v2WO0xOzBWtDTjIaiXnviMb2PIQ8AWI6eXHLusrMa3zjIrOs75S03rPyOg96ys1rfeMjN6zvlLTes/I6D3rKzU95b2DLEa49UKfnTIzPeW8gyzOt9X7LXeYnJgrWhtwkNVKzn1HNrDlIeALENPLj13WV2Ja5xkVnWd9pab1npHRe9ZXalrvGRm9Z32lpvWekdF71ldqesp7B1mMcOuFPjtlZnrKeQdZnG+r91vuMDkxV7Q24CCrlZz7jmxgy0PAFyCmlx+7rK/EtM4zKjrP+kpN6z0jo/esr9S03jMyes/6Sk3rPSOj96yv1PSU9w6yGOHWC312ysz0lPMOsjjfVu+33GFyYq5obcBBVis59x3ZwJaHgC9ATC8/dllfiWmdZ1R0nvWVmtZ7RkbvWV+pab1nZPSe9ZWa1ntGRu9ZX6npKe8dZDHCrRf67JSZ6SnnHWRxvq3eb7nD5MRc0dqAg6xWcu47soEtDwFfgJhefuyyvhLTOs+o6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvd9yh8mJuaK1AQdZreTcd2QDWx4CvgAxvfzYZX0lpnWeUdF51ldqWu8ZGb1nfaWm9Z6R0XvWV2pa7xkZvWd9paanvHeQxQi3XuizU2amp5x3kMX5tnq/5Q6TE3NFawMOslrJue/IBrY8BHwBYnr5scv6SkzrPKOi86yv1LTeMzJ6z/pKTes9I6P3rK/UtN4zMnrP+kpNT3nvIIsRbr3QZ6fMTE857yCL8231fssdJifmitYGHGS1knPfkQ1seQj4AsT08mOX9ZWY1nlGRedZX6lpvWdk9J71lZrWe0ZG71lfqWm9Z2T0nvWVmp7y3kEWI9x6oc9OmZmect5BFufb6v2WO0xOzBWtDTjIaiXnviMb2PIQ8AWI6eXHLusrMa3zjIrOs75S03rPyOg96ys1rfeMjN6zvlLTes/I6D3rKzU95b2DLEa49UKfnTIzPeW8gyzOt9X7LXeYnJgrWhtwkNVKzn1HNrDlIeALENPLj13WV2Ja5xkVnWd9pab1npHRe9ZXalrvGRm9Z32lpvWekdF71ldqesp7B1mMcOuFPjtlZnrKeQdZnG+r91vuMDkxV7Q24CCrlZz7jmxgy0PAFyCmlx+7rK/EtM4zKjrP+kpN6z0jo/esr9S03jMyes/6Sk3rPSOj96yv1PSU9w6yGOHWC312ysz0lPMOsjjfVu+33GFyYq5obcBBVis59x3ZwJaHgC9ATC8/dllfiWmdZ1R0nvWVmtZ7RkbvWV+pab1nZPSe9ZWa1ntGRu9ZX6npKe8dZDHCrRf67JSZ6SnnHWRxvq3eb7nD5MRc0dqAg6xWcu47soEtDwFfgJhefuyyvhLTOs+o6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvd9yh8mJuaK1AQdZreTcd2QDWx4CvgAxvfzYZX0lpnWeUdF51ldqWu8ZGb1nfaWm9Z6R0XvWV2pa7xkZvWd9paanvHeQxQi3XuizU2amp5x3kMX5tnq/5Q6TE3NFawMOslrJue/IBrY8BHwBYnr5scv6SkzrPKOi86yv1LTeMzJ6z/pKTes9I6P3rK/UtN4zMnrP+kpNT3nvIIsRbr3QZ6fMTE857yCL8231fssdJifmitYGHGS1knPfkQ1seQj4AsT08mOX9ZWY1nlGRedZX6lpvWdk9J71lZrWe0ZG71lfqWm9Z2T0nvWVmp7y3kEWI9x6oc9OmZmect5BFufb6v2WO0xOzBWtDTjIaiXnviMb2PIQ8AWI6eXHLusrMa3zjIrOs75S03rPyOg96ys1rfeMjN6zvlLTes/I6D3rKzU95b2DLEa49UKfnTIzPeW8gyzOt9X7LXeYnJgrWhtwkNVKzn1HNrDlIeALENPLj13WV2Ja5xkVnWd9pab1npHRe9ZXalrvGRm9Z32lpvWekdF71ldqesp7B1mMcOuFPjtlZnrKeQdZnG+r91vuMDkxV7Q24CCrlZz7jmxgy0PAFyCmlx+7rK/EtM4zKjrP+kpN6z0jo/esr9S03jMyes/6Sk3rPSOj96yv1PSU9w6yGOHWC312ysz0lPMOsjjfVu+33GFyYq5obcBBVis59x3ZwJaHgC9ATC8/dllfiWmdZ1R0nvWVmtZ7RkbvWV+pab1nZPSe9ZWa1ntGRu9ZX6npKe8dZDHCrRf67JSZ6SnnHWRxvq3eb7nD5MRc0dqAg6xWcu47soEtDwFfgJhefuyyvhLTOs+o6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvd9yh8mJuaK1AQdZreTcd2QDWx4CvgAxvfzYZX0lpnWeUdF51ldqWu8ZGb1nfaWm9Z6R0XvWV2pa7xkZvWd9paanvHeQxQi3XuizU2amp5x3kMX5tnq/5Q6TE3NFawMOslrJue/IBrY8BHwBYnr5scv6SkzrPKOi86yv1LTeMzJ6z/pKTes9I6P3rK/UtN4zMnrP+kpNT3nvIIsRbr3QZ6fMTE857yCL8231fssdJifmitYGHGS1knPfkQ1seQj4AsT08mOX9ZWY1nlGRedZX6lpvWdk9J71lZrWe0ZG71lfqWm9Z2T0nvWVmp7y3kEWI9x6oc9OmZmect5BFufb6v2WO0xOzBWtDTjIaiXnviMb2PIQ8AWI6eXHLusrMa3zjIrOs75S03rPyOg96ys1rfeMjN6zvlLTes/I6D3rKzU95b2DLEa49UKfnTIzPeW8gyzOt9X7LXeYnJgrWhtwkNVKzn1HNrDlIeALENPLj13WV2Ja5xkVnWd9pab1npHRe9ZXalrvGRm9Z32lpvWekdF71ldqesp7B1mMcOuFPjtlZnrKeQdZnG+r91vuMDkxV7Q24CCrlZz7jmxgy0PAFyCmlx+7rK/EtM4zKjrP+kpN6z0jo/esr9S03jMyes/6Sk3rPSOj96yv1PSU9w6yGOHWC312ysz0lPMOsjjfVu+33GFyYq5obcBBVis59x3ZwJaHgC9ATC8/dllfiWmdZ1R0nvWVmtZ7RkbvWV+pab1nZPSe9ZWa1ntGRu9ZX6npKe8dZDHCrRf67JSZ6SnnHWRxvq3eb7nD5MRc0dqAg6xWcu47soEtDwFfgJhefuyyvhLTOs+o6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvd9yh8mJuaK1AQdZreTcd2QDWx4CvgAxvfzYZX0lpnWeUdF51ldqWu8ZGb1nfaWm9Z6R0XvWV2pa7xkZvWd9paanvHeQxQi3XuizU2amp5x3kMX5tnq/5Q6TE3NFawMOslrJue/IBrY8BHwBYnr5scv6SkzrPKOi86yv1LTeMzJ6z/pKTes9I6P3rK/UtN4zMnrP+kpNT3nvIIsRbr3QZ6fMTE857yCL8231fssdJifmitYGHGS1knPfkQ1seQj4AsT08mOX9ZWY1nlGRedZX6lpvWdk9J71lZrWe0ZG71lfqWm9Z2T0nvWVmp7y3kEWI9x6oc9OmZmect5BFufb6v2WO0xOzBWtDTjIaiXnviMb2PIQ8AWI6eXHLusrMa3zjIrOs75S03rPyOg96ys1rfeMjN6zvlLTes/I6D3rKzU95b2DLEa49UKfnTIzPeW8gyzOt9X7LXeYnJgrWhtwkNVKzn1HNrDlIeALENPLj13WV2Ja5xkVnWd9pab1npHRe9ZXalrvGRm9Z32lpvWekdF71ldqesp7B1mMcOuFPjtlZnrKeQdZnG+r91vuMDkxV7Q24CCrlZz7jmxgy0PAFyCmlx+7rK/EtM4zKjrP+kpN6z0jo/esr9S03jMyes/6Sk3rPSOj96yv1PSU9w6yGOHWC312ysz0lPMOsjjfVu+33GFyYq5obcBBVis59x3ZwJaHgC9ATC8/dllfiWmdZ1R0nvWVmtZ7RkbvWV+pab1nZPSe9ZWa1ntGRu9ZX6npKe8dZDHCrRf67JSZ6SnnHWSo5fOJAAAgAElEQVRxvq3eb7nD5MRc0dqAg6xWcu47soEtDwFfgJhefuyyvhLTOs+o6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvd9yh8mJuaK1AQdZreTcd2QDWx4CvgAxvfzYZX0lpnWeUdF51ldqWu8ZGb1nfaWm9Z6R0XvWV2pa7xkZvWd9paanvHeQxQi3XuizU2amp5x3kMX5tnq/5Q6TE3NFawMOslrJue/IBrY8BHwBYnr5scv6SkzrPKOi86yv1LTeMzJ6z/pKTes9I6P3rK/UtN4zMnrP+kpNT3nvIIsRbr3QZ6fMTE857yCL8231fssdJifmitYGHGS1knPfkQ1seQj4AsT08mOX9ZWY1nlGRedZX6lpvWdk9J71lZrWe0ZG71lfqWm9Z2T0nvWVmp7y3kEWI9x6oc9OmZmect5BFufb6v2WO0xOzBWtDTjIaiXnviMb2PIQ8AWI6eXHLusrMa3zjIrOs75S03rPyOg96ys1rfeMjN6zvlLTes/I6D3rKzU95b2DLEa49UKfnTIzPeW8gyzOt9X7LXeYnJgrWhtwkNVKzn1HNrDlIeALENPLj13WV2Ja5xkVnWd9pab1npHRe9ZXalrvGRm9Z32lpvWekdF71ldqesp7B1mMcOuFPjtlZnrKeQdZnG+r91vuMDkxV7Q24CCrlZz7jmxgy0PAFyCmlx+7rK/EtM4zKjrP+kpN6z0jo/esr9S03jMyes/6Sk3rPSOj96yv1PSU9w6yGOHWC312ysz0lPMOsjjfVu+33GFyYq5obcBBVis59x3ZwJaHgC9ATC8/dllfiWmdZ1R0nvWVmtZ7RkbvWV+pab1nZPSe9ZWa1ntGRu9ZX6npKe8dZDHCrRf67JSZ6SnnHWRxvq3eb7nD5MRc0dqAg6xWcu47soEtDwFfgJhefuyyvhLTOs+o6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvd9yh8mJuaK1AQdZreTcd2QDWx4CvgAxvfzYZX0lpnWeUdF51ldqWu8ZGb1nfaWm9Z6R0XvWV2pa7xkZvWd9paanvHeQxQi3XuizU2amp5x3kMX5tnq/5Q6TE3NFawMOslrJle37Jje5yRnt+D73uc/xmte85oyynyv0B3/wB8fv/d7vHX//939/XHfddcftb3/748ILLzye+MQnHhdccMEX/Off0B+w5SHgCxBTxI9d1ldiWucZFZ1nfaWm9Z6R0XvWV2pa7xkZvWd9pab1npHRe9ZXanrKewdZjHDrhT47ZWZ6ynkHWZxvq/db7jA5MVe0NuAgq5Vc2b6/VIOsj3zkI8fDH/7w44orrrjehm5605sev/iLv3g89alP/aI0uOUh4AsQ08OPXdZXYlrnGRWdZ32lpvWekdF71ldqWu8ZGb1nfaWm9Z6R0XvWV2p6ynsHWYxw64U+O2Vmesp5B1mcb6v3W+4wOTFXtDbgIKuVXNm+PznI+vEf//HjCU94wg3u/txzzz3udKc73ejTPeIRjzhe+tKXnq6/6KKLjksuueQ4//zzj6uvvvr41V/91eOaa645/b3nPve5x+Me97gb/XNuaOGWh4AvQEwNP3ZZX4lpnWdUdJ71lZrWe0ZG71lfqWm9Z2T0nvWVmtZ7RkbvWV+p6SnvHWQxwq0X+uyUmekp509Op/eMcav3W+4wGS3TzQ04yGqmV7T3Tw6yTv4m1KWXXvpF2fmrX/3q4773ve/pn/2gBz3ouPzyy49zzjnnUz/rfe9733G3u93teMc73nGcd955x7XXXnvc+ta3Ht3LloeAL0BMCz92WV+JaZ1nVHSe9ZWa1ntGRu9ZX6lpvWdk9J71lZrWe0ZG71lfqekp773QZ4RbL/TZKTPTU847yOJ8W73fcofJibmitQEHWa3kyvb9pRhkXXzxxcerXvWq42Y3u9nxtre97bjjHe/4WS2d/G2tk7+1dfLrGc94xvHkJz95tMktDwFfgJgWfuyyvhLTOs+o6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvd9yh8mJuaK1AQdZreTK9v3FHmR98IMfPG5729seH/3oR4/73//+pwOt6/t18vu3u93tjg984APHBRdccLz2ta8dbXLLQ8AXIKaFH7usr8S0zjMqOs/6Sk3rPSOj96yv1LTeMzJ6z/pKTes9I6P3rK/U9JT3DrIY4dYLfXbKzPSU8w6yON9W77fcYXJirmhtwEFWK7myfX+xB1mf/s8KPu1pTzt+7ud+7gYbut/97ndceeWVp39z68Mf/vBx85vffKzNLQ8BX4CYEn7ssr4S0zrPqOg86ys1rfeMjN6zvlLTes/I6D3rKzWt94yM3rO+UtNT3jvIYoRbL/TZKTPTU847yOJ8W73fcofJibmitQEHWa3kyvb9yUHWXe961+MTn/jE8fa3v/30v191hzvc4bjnPe95PPrRjz4uuuiiG32q5zznOceTnvSk0/Un/22shz70oTf4Z11yySXHs5/97NPff/Ob33yc7Gnq15aHgC9AzAg/dllfiWmdZ1R0nvWVmtZ7RkbvWV+pab1nZPSe9ZWa1ntGRu9ZX6npKe8dZDHCrRf67JSZ6SnnT06n94xxq/db7jAZLdPNDTjIaqZXtPdPDrI+15ZPhk+XXXbZ8dVf/dX4ZCd/A+vpT3/66bo3vOENx3d8x3fc4J/xzGc+81P/baw/+ZM/OU7+htaZ/jr5P/Kf69e73/3u4x73uMdp5J3vfOf1/ne6zvRnnc2cL0CsfT92WV+JaZ1nVHSe9ZWa1ntGRu9ZX6lpvWdk9J71lZrWe0ZG71lfqekp773QZ4RbL/TZKTPTU86fnE7vGeNW7x1kMc6mz34DDrLOPoMvix2ce+65x4Mf/ODjvve973GXu9zluNWtbnW8973vPa666qrjd37nd473v//9pz3c5z73Of7sz/4M/3N/T3ziE4/f+q3fOv0z/uEf/uH0Z9zQr9/+7d8+nvCEJ5z+9h/+4R8eD3vYw86YwZkM5D75hznI+t8mfAE6Y71Og60vQOyUeWlf+hkTL3hYX6lpvWdk9J71lZrWe0ZG71lfqWm9Z2T0nvWVmp7y3u9ZRtjvWdbXZHrKee9xOJVW7x1kcdauOLsNOMg6u/1/2fz066677jjvvPOu97zvec97jgc84AHHm970ptPf/83f/M3jJ3/yJ1E3j33sY4/f/d3fPV1zzTXXHN/8zd98g+tPcif5k18vetGLjkc+8pFn/LMcZJ1xVZ8K+uLPOmt9AWKnzEv70s+YeMHD+kpN6z0jo/esr9S03jMyes/6Sk3rPSOj96yv1PSU937PMsJ+z7K+JtNTzp/sSe8ZmVbvHWQxzqbPfgMOss4+A3dwHMe11157+reoPvaxjx13vvOdj3/5l39BvXyp/kaW/7QgwnIa9gWIddb6AsROmZf2pZ8x8YKH9ZWa1ntGRu9ZX6lpvWdk9J71lZrWe0ZG71lfqekp7/2eZYT9nmV9TaannPceh1Np9d5BFmftirPbgIOss9u/P/3TGvj+7//+44orrjj937zrXe86zj///DPu50v138j6fBva8hDwBejzkf7M3/djl/WVmNZ5RkXnWV+pab1nZPSe9ZWa1ntGRu9ZX6lpvWdk9J71lZqe8t5BFiPceqHPTpmZnnLeQRbn2+r9ljtMTswVrQ04yGolt3DfT37yk49nPvOZpyd7/etff9z97nc/41M+5znPOZ70pCed5i+//PLjoQ996A2uveSSS45nP/vZp7//5je/+bjrXe96xj/n8wW3PAR8Afp8pD/z9/3YZX0lpnWeUdF51ldqWu8ZGb1nfaWm9Z6R0XvWV2pa7xkZvWd9paanvHeQxQi3XuizU2amp5w/OZ3eM8at3m+5w2S0TDc34CCrmd6yvT/lKU85fv3Xf/30VHSQ9epXv/q4733ve7r2aU972nHyN7Ru6Nf97ne/48orrzxudrObHR/+8IePm9/85mNNbnkI+ALElPBjl/WVmNZ5RkXnWV+pab1nZPSe9ZWa1ntGRu9ZX6lpvWdk9J71lZqe8t4LfUa49UKfnTIzPeW8gyzOt9X7LXeYnJgrWhtwkNVKbuG+H/jABx6vfOUrT0928n9Mv+7rvu6MT/nBD37wuO1tb3t89KMfPe5///sfr3rVq6537cnv3+52tzs+8IEPHBdccMHx2te+9ox/xpkEtzwEfAE6E9r/X8aPXdZXYlrnGRWdZ32lpvWekdF71ldqWu8ZGb1nfaWm9Z6R0XvWV2p6ynsHWYxw64U+O2Vmesp5B1mcb6v3W+4wOTFXtDbgIKuV3LJ9v+1tbzvucpe7nA6ivuVbvuV461vfik948cUXnw6wTv6m1cmfd8c73vGz/oyXvvSlxyMe8YjT//0znvGM4+SfM5z8teUh4AsQs8KPXdZXYlrnGRWdZ32lpvWekdF71ldqWu8ZGb1nfaWm9Z6R0XvWV2p6ynsHWYxw64U+O2Vmesp5B1mcb6v3W+4wOTFXtDbgIKuVXNG+X/7ylx8PeMADTgdM1/frPe95z+nvv+lNbzr97Wc961nHT//0T39G9LLLLjse85jHnP7vnvrUpx6XXnrpZ/1Rn/7PCz74wQ8+Xvaylx3nnHPOp3Lve9/7jrvd7W7HO97xjuO88847rr322uPWt771aJNbHgK+ADEt/NhlfSWmdZ5R0XnWV2pa7xkZvWd9pab1npHRe9ZXalrvGRm9Z32lpqe8d5DFCLde6LNTZqannD85nd4zxq3eb7nDZLRMNzfgIKuZXsnev+mbvun42Mc+djzsYQ87/ef8Tv7nW97ylsfJYOk1r3nN8dznPvf0/33y6173utfx53/+58dXfMVXfMbpzmSQdbLg5G9bnfytq5NfF1100fFTP/VTx/nnn39cffXVx6/8yq8c11xzzenvnfzMxz3uceMNbnkI+ALE1PBjl/WVmNZ5RkXnWV+pab1nZPSe9ZWa1ntGRu9ZX6lpvWdk9J71lZqe8t4LfUa49UKfnTIzPeX8yen0njFu9X7LHSajZbq5AQdZzfRK9n4yuPrXf/3Xz7vbk0HXC17wgtO/LfX//3Wmg6yPfOQjx8Mf/vDjiiuuuN6fd9Ob3vT4hV/4hev9G12fd4NnENjyEPAF6Axgf1rEj13WV2Ja5xkVnWd9pab1npHRe9ZXalrvGRm9Z32lpvWekdF71ldqesp7L/QZ4dYLfXbKzPSU8w6yON9W77fcYXJirmhtwEFWK7mifV911VXHyf/3ute97vSf8zv521cf+MAHjlvd6lbH13/91x/3vOc9jx/+4R8+/dtaN/TrTAdZn1z/kpe85DhZ83d/93fHddddd9z+9rc/LrzwwuMnfuInPufP+UJr3fIQ8AWImeDHLusrMa3zjIrOs75S03rPyOg96ys1rfeMjN6zvlLTes/I6D3rKzU95b2DLEa49UKfnTIzPeW8gyzOt9X7LXeYnJgrWhtwkNVKzn1HNrDlIeALENPLj13WV2Ja5xkVnWd9pab1npHRe9ZXalrvGRm9Z32lpvWekdF71ldqesp7B1mMcOuFPjtlZnrKeQdZnG+r91vuMDkxV7Q24CCrlZz7jmxgy0PAFyCmlx+7rK/EtM4zKjrP+kpN6z0jo/esr9S03jMyes/6Sk3rPSOj96yv1PSU9w6yGOHWC312ysz0lPMOsjjfVu+33GFyYq5obcBBVis59x3ZwJaHgC9ATC8/dllfiWmdZ1R0nvWVmtZ7RkbvWV+pab1nZPSe9ZWa1ntGRu9ZX6npKe8dZDHCrRf67JSZ6SnnHWRxvq3eb7nD5MRc0dqAg6xWcu47soEtDwFfgJhefuyyvhLTOs+o6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvd9yh8mJuaK1AQdZreTcd2QDWx4CvgAxvfzYZX0lpnWeUdF51ldqWu8ZGb1nfaWm9Z6R0XvWV2pa7xkZvWd9paanvHeQxQi3XuizU2amp5x3kMX5tnq/5Q6TE3NFawMOslrJue/IBrY8BHwBYnr5scv6SkzrPKOi86yv1LTeMzJ6z/pKTes9I6P3rK/UtN4zMnrP+kpNT3nvIIsRbr3QZ6fMTE857yCL8231fssdJifmitYGHGS1knPfkQ1seQj4AsT08mOX9ZWY1nlGRedZX6lpvWdk9J71lZrWe0ZG71lfqWm9Z2T0nvWVmp7y3kEWI9x6oc9OmZmect5BFufb6v2WO0xOzBWtDTjIaiXnviMb2PIQ8AWI6eXHLusrMa3zjIrOs75S03rPyOg96ys1rfeMjN6zvlLTes/I6D3rKzU95b2DLEa49UKfnTIzPeW8gyzOt9X7LXeYnJgrWhtwkNVKzn1HNrDlIeALENPLj13WV2Ja5xkVnWd9pab1npHRe9ZXalrvGRm9Z32lpvWekdF71ldqesp7B1mMcOuFPjtlZnrKeQdZnG+r91vuMDkxV7Q24CCrlZz7jmxgy0PAFyCmlx+7rK/EtM4zKjrP+kpN6z0jo/esr9S03jMyes/6Sk3rPSOj96yv1PSU9w6yGOHWC312ysz0lPMOsjjfVu+33GFyYq5obcBBVis59x3ZwJaHgC9ATC8/dllfiWmdZ1R0nvWVmtZ7RkbvWV+pab1nZPSe9ZWa1ntGRu9ZX6npKe8dZDHCrRf67JSZ6SnnHWRxvq3eb7nD5MRc0dqAg6xWcu47soEtDwFfgJhefuyyvhLTOs+o6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvd9yh8mJuaK1AQdZreTcd2QDWx4CvgAxvfzYZX0lpnWeUdF51ldqWu8ZGb1nfaWm9Z6R0XvWV2pa7xkZvWd9paanvHeQxQi3XuizU2amp5x3kMX5tnq/5Q6TE3NFawMOslrJue/IBrY8BHwBYnr5scv6SkzrPKOi86yv1LTeMzJ6z/pKTes9I6P3rK/UtN4zMnrP+kpNT3nvIIsRbr3QZ6fMTE857yCL8231fssdJifmitYGHGS1knPfkQ1seQj4AsT08mOX9ZWY1nlGRedZX6lpvWdk9J71lZrWe0ZG71lfqWm9Z2T0nvWVmp7y3kEWI9x6oc9OmZmect5BFufb6v2WO0xOzBWtDTjIaiXnviMb2PIQ8AWI6eXHLusrMa3zjIrOs75S03rPyOg96ys1rfeMjN6zvlLTes/I6D3rKzU95b2DLEa49UKfnTIzPeW8gyzOt9X7LXeYnJgrWhtwkNVKzn1HNrDlIeALENPLj13WV2Ja5xkVnWd9pab1npHRe9ZXalrvGRm9Z32lpvWekdF71ldqesp7B1mMcOuFPjtlZnrKeQdZnG+r91vuMDkxV7Q24CCrlZz7jmxgy0PAFyCmlx+7rK/EtM4zKjrP+kpN6z0jo/esr9S03jMyes/6Sk3rPSOj96yv1PSU9w6yGOHWC312ysz0lPMOsjjfVu+33GFyYq5obcBBVis59x3ZwJaHgC9ATC8/dllfiWmdZ1R0nvWVmtZ7RkbvWV+pab1nZPSe9ZWa1ntGRu9ZX6npKe8dZDHCrRf67JSZ6SnnHWRxvq3eb7nD5MRc0dqAg6xWcu47soEtDwFfgJhefuyyvhLTOs+o6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvd9yh8mJuaK1AQdZreTcd2QDWx4CvgAxvfzYZX0lpnWeUdF51ldqWu8ZGb1nfaWm9Z6R0XvWV2pa7xkZvWd9paanvHeQxQi3XuizU2amp5x3kMX5tnq/5Q6TE3NFawMOslrJue/IBrY8BHwBYnr5scv6SkzrPKOi86yv1LTeMzJ6z/pKTes9I6P3rK/UtN4zMnrP+kpNT3nvIIsRbr3QZ6fMTE857yCL8231fssdJifmitYGHGS1knPfkQ1seQj4AsT08mOX9ZWY1nlGRedZX6lpvWdk9J71lZrWe0ZG71lfqWm9Z2T0nvWVmp7y3kEWI9x6oc9OmZmect5BFufb6v2WO0xOzBWtDTjIaiXnviMb2PIQ8AWI6eXHLusrMa3zjIrOs75S03rPyOg96ys1rfeMjN6zvlLTes/I6D3rKzU95b2DLEa49UKfnTIzPeW8gyzOt9X7LXeYnJgrWhtwkNVKzn1HNrDlIeALENPLj13WV2Ja5xkVnWd9pab1npHRe9ZXalrvGRm9Z32lpvWekdF71ldqesp7B1mMcOuFPjtlZnrKeQdZnG+r91vuMDkxV7Q24CCrlZz7jmxgy0PAFyCmlx+7rK/EtM4zKjrP+kpN6z0jo/esr9S03jMyes/6Sk3rPSOj96yv1PSU9w6yGOHWC312ysz0lPMOsjjfVu+33GFyYq5obcBBVis59x3ZwJaHgC9ATC8/dllfiWmdZ1R0nvWVmtZ7RkbvWV+pab1nZPSe9ZWa1ntGRu9ZX6npKe8dZDHCrRf67JSZ6SnnHWRxvq3eb7nD5MRc0dqAg6xWcu47soEtDwFfgJhefuyyvhLTOs+o6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvd9yh8mJuaK1AQdZreTcd2QDWx4CvgAxvfzYZX0lpnWeUdF51ldqWu8ZGb1nfaWm9Z6R0XvWV2pa7xkZvWd9paanvHeQxQi3XuizU2amp5x3kMX5tnq/5Q6TE3NFawMOslrJue/IBrY8BHwBYnr5scv6SkzrPKOi86yv1LTeMzJ6z/pKTes9I6P3rK/UtN4zMnrP+kpNT3nvIIsRbr3QZ6fMTE857yCL8231fssdJifmitYGHGS1knPfkQ1seQj4AsT08mOX9ZWY1nlGRedZX6lpvWdk9J71lZrWe0ZG71lfqWm9Z2T0nvWVmp7y3kEWI9x6oc9OmZmect5BFufb6v2WO0xOzBWtDTjIaiXnviMb2PIQ8AWI6eXHLusrMa3zjIrOs75S03rPyOg96ys1rfeMjN6zvlLTes/I6D3rKzU95b2DLEa49UKfnTIzPeW8gyzOt9X7LXeYnJgrWhtwkNVKzn1HNrDlIeALENPLj13WV2Ja5xkVnWd9pab1npHRe9ZXalrvGRm9Z32lpvWekdF71ldqesp7B1mMcOuFPjtlZnrKeQdZnG+r91vuMDkxV7Q24CCrlZz7jmxgy0PAFyCmlx+7rK/EtM4zKjrP+kpN6z0jo/esr9S03jMyes/6Sk3rPSOj96yv1PSU9w6yGOHWC312ysz0lPMOsjjfVu+33GFyYq5obcBBVis59x3ZwJaHgC9ATC8/dllfiWmdZ1R0nvWVmtZ7RkbvWV+pab1nZPSe9ZWa1ntGRu9ZX6npKe8dZDHCrRf67JSZ6SnnHWRxvq3eb7nD5MRc0dqAg6xWcu47soEtDwFfgJhefuyyvhLTOs+o6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvd9yh8mJuaK1AQdZreTcd2QDWx4CvgAxvfzYZX0lpnWeUdF51ldqWu8ZGb1nfaWm9Z6R0XvWV2pa7xkZvWd9paanvHeQxQi3XuizU2amp5x3kMX5tnq/5Q6TE3NFawMOslrJue/IBrY8BHwBYnr5scv6SkzrPKOi86yv1LTeMzJ6z/pKTes9I6P3rK/UtN4zMnrP+kpNT3nvIIsRbr3QZ6fMTE857yCL8231fssdJifmitYGHGS1knPfkQ1seQj4AsT08mOX9ZWY1nlGRedZX6lpvWdk9J71lZrWe0ZG71lfqWm9Z2T0nvWVmp7y3kEWI9x6oc9OmZmect5BFufb6v2WO0xOzBWtDTjIaiXnviMb2PIQ8AWI6eXHLusrMa3zjIrOs75S03rPyOg96ys1rfeMjN6zvlLTes/I6D3rKzU95b2DLEa49UKfnTIzPeW8gyzOt9X7LXeYnJgrWhtwkNVKzn1HNrDlIeALENPLj13WV2Ja5xkVnWd9pab1npHRe9ZXalrvGRm9Z32lpvWekdF71ldqesp7B1mMcOuFPjtlZnrKeQdZnG+r91vuMDkxV7Q24CCrlZz7jmxgy0PAFyCmlx+7rK/EtM4zKjrP+kpN6z0jo/esr9S03jMyes/6Sk3rPSOj96yv1PSU9w6yGOHWC312ysz0lPMOsjjfVu+33GFyYq5obcBBVis59x3ZwJaHgC9ATC8/dllfiWmdZ1R0nvWVmtZ7RkbvWV+pab1nZPSe9ZWa1ntGRu9ZX6npKe8dZDHCrRf67JSZ6SnnHWRxvq3eb7nD5MRc0dqAg6xWcu47soEtDwFfgJhefuyyvhLTOs+o6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvd9yh8mJuaK1AQdZreTcd2QDWx4CvgAxvfzYZX0lpnWeUdF51ldqWu8ZGb1nfaWm9Z6R0XvWV2pa7xkZvWd9paanvHeQxQi3XuizU2amp5x3kMX5tnq/5Q6TE3NFawMOslrJue/IBrY8BHwBYnr5scv6SkzrPKOi86yv1LTeMzJ6z/pKTes9I6P3rK/UtN4zMnrP+kpNT3nvIIsRbr3QZ6fMTE857yCL8231fssdJifmitYGHGS1knPfkQ1seQj4AsT08mOX9ZWY1nlGRedZX6lpvWdk9J71lZrWe0ZG71lfqWm9Z2T0nvWVmp7y3kEWI9x6oc9OmZmect5BFufb6v2WO0xOzBWtDTjIaiXnviMb2PIQ8AWI6eXHLusrMa3zjIrOs75S03rPyOg964L5M1sAACAASURBVCs1rfeMjN6zvlLTes/I6D3rKzU95b2DLEa49UKfnTIzPeW8gyzOt9X7LXeYnJgrWhtwkNVKzn1HNrDlIeALENPLj13WV2Ja5xkVnWd9pab1npHRe9ZXalrvGRm9Z32lpvWekdF71ldqesp7B1mMcOuFPjtlZnrKeQdZnG+r91vuMDkxV7Q24CCrlZz7jmxgy0PAFyCmlx+7rK/EtM4zKjrP+kpN6z0jo/esr9S03jMyes/6Sk3rPSOj96yv1PSU9w6yGOHWC312ysz0lPMOsjjfVu+33GFyYq5obcBBVis59x3ZwJaHgC9ATC8/dllfiWmdZ1R0nvWVmtZ7RkbvWV+pab1nZPSe9ZWa1ntGRu9ZX6npKe8dZDHCrRf67JSZ6SnnHWRxvq3eb7nD5MRc0dqAg6xWcu47soEtDwFfgJhefuyyvhLTOs+o6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvd9yh8mJuaK1AQdZreTcd2QDWx4CvgAxvfzYZX0lpnWeUdF51ldqWu8ZGb1nfaWm9Z6R0XvWV2pa7xkZvWd9paanvHeQxQi3XuizU2amp5x3kMX5tnq/5Q6TE3NFawMOslrJue/IBrY8BHwBYnr5scv6SkzrPKOi86yv1LTeMzJ6z/pKTes9I6P3rK/UtN4zMnrP+kpNT3nvIIsRbr3QZ6fMTE857yCL8231fssdJifmitYGHGS1knPfkQ1seQj4AsT08mOX9ZWY1nlGRedZX6lpvWdk9J71lZrWe0ZG71lfqWm9Z2T0nvWVmp7y3kEWI9x6oc9OmZmect5BFufb6v2WO0xOzBWtDTjIaiXnviMb2PIQ8AWI6eXHLusrMa3zjIrOs75S03rPyOg96ys1rfeMjN6zvlLTes/I6D3rKzU95b2DLEa49UKfnTIzPeW8gyzOt9X7LXeYnJgrWhtwkNVKzn1HNrDlIeALENPLj13WV2Ja5xkVnWd9pab1npHRe9ZXalrvGRm9Z32lpvWekdF71ldqesp7B1mMcOuFPjtlZnrKeQdZnG+r91vuMDkxV7Q24CCrlZz7jmxgy0PAFyCmlx+7rK/EtM4zKjrP+kpN6z0jo/esr9S03jMyes/6Sk3rPSOj96yv1PSU9w6yGOHWC312ysz0lPMOsjjfVu+33GFyYq5obcBBVis59x3ZwJaHgC9ATC8/dllfiWmdZ1R0nvWVmtZ7RkbvWV+pab1nZPSe9ZWa1ntGRu9ZX6npKe8dZDHCrRf67JSZ6SnnHWRxvq3eb7nD5MRc0dqAg6xWcu47soEtDwFfgJhefuyyvhLTOs+o6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvd9yh8mJuaK1AQdZreTcd2QDWx4CvgAxvfzYZX0lpnWeUdF51ldqWu8ZGb1nfaWm9Z6R0XvWV2pa7xkZvWd9paanvHeQxQi3XuizU2amp5x3kMX5tnq/5Q6TE3NFawMOslrJue/IBrY8BHwBYnr5scv6SkzrPKOi86yv1LTeMzJ6z/pKTes9I6P3rK/UtN4zMnrP+kpNT3nvIIsRbr3QZ6fMTE857yCL8231fssdJifmitYGHGS1knPfkQ1seQj4AsT08mOX9ZWY1nlGRedZX6lpvWdk9J71lZrWe0ZG71lfqWm9Z2T0nvWVmp7y3kEWI9x6oc9OmZmect5BFufb6v2WO0xOzBWtDTjIaiXnviMb2PIQ8AWI6eXHLusrMa3zjIrOs75S03rPyOg96ys1rfeMjN6zvlLTes/I6D3rKzU95b2DLEa49UKfnTIzPeW8gyzOt9X7LXeYnJgrWhtwkNVKzn1HNrDlIeALENPLj13WV2Ja5xkVnWd9pab1npHRe9ZXalrvGRm9Z32lpvWekdF71ldqesp7B1mMcOuFPjtlZnrKeQdZnG+r91vuMDkxV7Q24CCrlZz7jmxgy0PAFyCmlx+7rK/EtM4zKjrP+kpN6z0jo/esr9S03jMyes/6Sk3rPSOj96yv1PSU9w6yGOHWC312ysz0lPMOsjjfVu+33GFyYq5obcBBVis59x3ZwJaHgC9ATC8/dllfiWmdZ1R0nvWVmtZ7RkbvWV+pab1nZPSe9ZWa1ntGRu9ZX6npKe8dZDHCrRf67JSZ6SnnHWRxvq3eb7nD5MRc0dqAg6xWcu47soEtDwFfgJhefuyyvhLTOs+o6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvd9yh8mJuaK1AQdZreTcd2QDWx4CvgAxvfzYZX0lpnWeUdF51ldqWu8ZGb1nfaWm9Z6R0XvWV2pa7xkZvWd9paanvHeQxQi3XuizU2amp5x3kMX5tnq/5Q6TE3NFawMOslrJue/IBrY8BHwBYnr5scv6SkzrPKOi86yv1LTeMzJ6z/pKTes9I6P3rK/UtN4zMnrP+kpNT3nvIIsRbr3QZ6fMTE857yCL8231fssdJifmitYGHGS1knPfkQ1seQj4AsT08mOX9ZWY1nlGRedZX6lpvWdk9J71lZrWe0ZG71lfqWm9Z2T0nvWVmp7y3kEWI9x6oc9OmZmect5BFufb6v2WO0xOzBWtDTjIaiXnviMb2PIQ8AWI6eXHLusrMa3zjIrOs75S03rPyOg96ys1rfeMjN6zvlLTes/I6D3rKzU95b2DLEa49UKfnTIzPeW8gyzOt9X7LXeYnJgrWhtwkNVKzn1HNrDlIeALENPLj13WV2Ja5xkVnWd9pab1npHRe9ZXalrvGRm9Z32lpvWekdF71ldqesp7B1mMcOuFPjtlZnrKeQdZnG+r91vuMDkxV7Q24CCrlZz7jmxgy0PAFyCmlx+7rK/EtM4zKjrP+kpN6z0jo/esr9S03jMyes/6Sk3rPSOj96yv1PSU9w6yGOHWC312ysz0lPMOsjjfVu+33GFyYq5obcBBVis59x3ZwJaHgC9ATC8/dllfiWmdZ1R0nvWVmtZ7RkbvWV+pab1nZPSe9ZWa1ntGRu9ZX6npKe8dZDHCrRf67JSZ6SnnHWRxvq3eb7nD5MRc0dqAg6xWcu47soEtDwFfgJhefuyyvhLTOs+o6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvd9yh8mJuaK1AQdZreTcd2QDWx4CvgAxvfzYZX0lpnWeUdF51ldqWu8ZGb1nfaWm9Z6R0XvWV2pa7xkZvWd9paanvHeQxQi3XuizU2amp5x3kMX5tnq/5Q6TE3NFawMOslrJue/IBrY8BHwBYnr5scv6SkzrPKOi86yv1LTeMzJ6z/pKTes9I6P3rK/UtN4zMnrP+kpNT3nvIIsRbr3QZ6fMTE857yCL8231fssdJifmitYGHGS1knPfkQ1seQj4AsT08mOX9ZWY1nlGRedZX6lpvWdk9J71lZrWe0ZG71lfqWm9Z2T0nvWVmp7y3kEWI9x6oc9OmZmect5BFufb6v2WO0xOzBWtDTjIaiXnviMb2PIQ8AWI6eXHLusrMa3zjIrOs75S03rPyOg96ys1rfeMjN6zvlLTes/I6D3rKzU95b2DLEa49UKfnTIzPeW8gyzOt9X7LXeYnJgrWhtwkNVKzn1HNrDlIeALENPLj13WV2Ja5xkVnWd9pab1npHRe9ZXalrvGRm9Z32lpvWekdF71ldqesp7B1mMcOuFPjtlZnrKeQdZnG+r91vuMDkxV7Q24CCrlZz7jmxgy0PAFyCmlx+7rK/EtM4zKjrP+kpN6z0jo/esr9S03jMyes/6Sk3rPSOj96yv1PSU9w6yGOHWC312ysz0lPMOsjjfVu+33GFyYq5obcBBVis59x3ZwJaHgC9ATC8/dllfiWmdZ1R0nvWVmtZ7RkbvWV+pab1nZPSe9ZWa1ntGRu9ZX6npKe8dZDHCrRf67JSZ6SnnHWRxvq3eb7nD5MRc0dqAg6xWcu47soEtDwFfgJhefuyyvhLTOs+o6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvd9yh8mJuaK1AQdZreTcd2QDWx4CvgAxvfzYZX0lpnWeUdF51ldqWu8ZGb1nfaWm9Z6R0XvWV2pa7xkZvWd9paanvHeQxQi3XuizU2amp5x3kMX5tnq/5Q6TE3NFawMOslrJue/IBrY8BHwBYnr5scv6SkzrPKOi86yv1LTeMzJ6z/pKTes9I6P3rK/UtN4zMnrP+kpNT3nvIIsRbr3QZ6fMTE857yCL8231fssdJifmitYGHGS1knPfkQ1seQj4AsT08mOX9ZWY1nlGRedZX6lpvWdk9J71lZrWe0ZG71lfqWm9Z2T0nvWVmp7y3kEWI9x6oc9OmZmect5BFufb6v2WO0xOzBWtDTjIaiXnviMb2PIQ8AWI6eXHLusrMa3zjIrOs75S03rPyOg96ys1rfeMjN6zvlLTes/I6D3rKzU95b2DLEa49UKfnTIzPeW8gyzOt9X7LXeYnJgrWhtwkNVKzn1HNrDlIeALENPLj13WV2Ja5xkVnWd9pab1npHRe9ZXalrvGRm9Z32lpvWekdF71ldqesp7B1mMcOuFPjtlZnrKeQdZnG+r91vuMDkxV7Q24CCrlZz7jmxgy0PAFyCmlx+7rK/EtM4zKjrP+kpN6z0jo/esr9S03jMyes/6Sk3rPSOj96yv1PSU9w6yGOHWC312ysz0lPMOsjjfVu+33GFyYq5obcBBVis59x3ZwJaHgC9ATC8/dllfiWmdZ1R0nvWVmtZ7RkbvWV+pab1nZPSe9ZWa1ntGRu9ZX6npKe8dZDHCrRf67JSZ6SnnHWRxvq3eb7nD5MRc0dqAg6xWcu47soEtDwFfgJhefuyyvhLTOs+o6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvd9yh8mJuaK1AQdZreTcd2QDWx4CvgAxvfzYZX0lpnWeUdF51ldqWu8ZGb1nfaWm9Z6R0XvWV2pa7xkZvWd9paanvHeQxQi3XuizU2amp5x3kMX5tnq/5Q6TE3NFawMOslrJue/IBrY8BHwBYnr5scv6SkzrPKOi86yv1LTeMzJ6z/pKTes9I6P3rK/UtN4zMnrP+kpNT3nvIIsRbr3QZ6fMTE857yCL8231fssdJifmitYGHGS1knPfkQ1seQj4AsT08mOX9ZWY1nlGRedZX6lpvWdk9J71lZrWe0ZG71lfqWm9Z2T0nvWVmp7y3kEWI9x6oc9OmZmect5BFufb6v2WO0xOzBWtDTjIaiXnviMb2PIQ8AWI6eXHLusrMa3zjIrOs75S03rPyOg96ys1rfeMjN6zvlLTes/I6D3rKzU95b2DLEa49UKfnTIzPeW8gyzOt9X7LXeYnJgrWhtwkNVKzn1HNrDlIeALENPLj13WV2Ja5xkVnWd9pab1npHRe9ZXalrvGRm9Z32lpvWekdF71ldqesp7B1mMcOuFPjtlZnrKeQdZnG+r91vuMDkxV7Q24CCrlZz7jmxgy0PAFyCmlx+7rK/EtM4zKjrP+kpN6z0jo/esr9S03jMyes/6Sk3rPSOj96yv1PSU9w6yGOHWC312ysz0lPMOsjjfVu+33GFyYq5obcBBVis59x3ZwJaHgC9ATC8/dllfiWmdZ1R0nvWVmtZ7RkbvWV+pab1nZPSe9ZWa1ntGRu9ZX6npKe8dZDHCrRf67JSZ6SnnHWRxvq3eb7nD5MRc0dqAg6xWcu47soEtDwFfgJhefuyyvhLTOs+o6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvd9yh8mJuaK1AQdZreTcd2QDWx4CvgAxvfzYZX0lpnWeUdF51ldqWu8ZGb1nfaWm9Z6R0XvWV2pa7xkZvWd9paanvHeQxQi3XuizU2amp5x3kMX5tnq/5Q6TE3NFawMOslrJue/IBrY8BHwBYnr5scv6SkzrPKOi86yv1LTeMzJ6z/pKTes9I6P3rK/UtN4zMnrP+kpNT3nvIIsRbr3QZ6fMTE857yCL8231fssdJifmitYGHGS1knPfkQ1seQj4AsT08mOX9ZWY1nlGRedZX6lpvWdk9J71lZrWe0ZG71lfqWm9Z2T0nvWVmp7y3kEWI9x6oc9OmZmect5BFufb6v2WO0xOzBWtDTjIaiXnviMb2PIQ8AWI6eXHLusrMa3zjIrOs75S03rPyOg96ys1rfeMjN6zvlLTes/I6D3rKzU95b2DLEa49UKfnTIzPeW8gyzOt9X7LXeYnJgrWhtwkNVKzn1HNrDlIeALENPLj13WV2Ja5xkVnWd9pab1npHRe9ZXalrvGRm9Z32lpvWekdF71ldqesp7B1mMcOuFPjtlZnrKeQdZnG+r91vuMDkxV7Q24CCrlZz7jmxgy0PAFyCmlx+7rK/EtM4zKjrP+kpN6z0jo/esr9S03jMyes/6Sk3rPSOj96yv1PSU9w6yGOHWC312ysz0lPMOsjjfVu+33GFyYq5obcBBVis59x3ZwJaHgC9ATC8/dllfiWmdZ1R0nvWVmtZ7RkbvWV+pab1nZPSe9ZWa1ntGRu9ZX6npKe8dZDHCrRf67JSZ6SnnHWRxvq3eb7nD5MRc0dqAg6xWcu47soEtDwFfgJhefuyyvhLTOs+o6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvd9yh8mJuaK1AQdZreTcd2QDWx4CvgAxvfzYZX0lpnWeUdF51ldqWu8ZGb1nfaWm9Z6R0XvWV2pa7xkZvWd9paanvHeQxQi3XuizU2amp5x3kMX5tnq/5Q6TE3NFawMOslrJue/IBrY8BHwBYnr5scv6SkzrPKOi86yv1LTeMzJ6z/pKTes9I6P3rK/UtN4zMnrP+kpNT3nvIIsRbr3QZ6fMTE857yCL8231fssdJifmitYGHGS1knPfkQ1seQj4AsT08mOX9ZWY1nlGRedZX6lpvWdk9J71lZrWe0ZG71lfqWm9Z2T0nvWVmp7y3kEWI9x6oc9OmZmect5BFufb6v2WO0xOzBWtDTjIaiXnviMb2PIQ8AWI6eXHLusrMa3zjIrOs75S03rPyOg96ys1rfeMjN6zvlLTes/I6D3rKzU95b2DLEa49UKfnTIzPeW8gyzOt9X7LXeYnJgrWhtwkNVKzn1HNrDlIeALENPLj13WV2Ja5xkVnWd9pab1npHRe9ZXalrvGRm9Z32lpvWekdF71ldqesp7B1mMcOuFPjtlZnrKeQdZnG+r91vuMDkxV7Q24CCrlZz7jmxgy0PAFyCmlx+7rK/EtM4zKjrP+kpN6z0jo/esr9S03jMyes/6Sk3rPSOj96yv1PSU9w6yGOHWC312ysz0lPMOsjjfVu+33GFyYq5obcBBViu5sn2/8Y1vPK644orjr/7qr463vOUtx3vf+97j5je/+XH++ecf3/md33k89rGPPe51r3t9wae69NJLj1/6pV86oz/nL/7iL47v+q7vOqPsmYa2PAR8ATpT4v+b82OX9ZWY1nlGRedZX6lpvWdk9J71lZrWe0ZG71lfqWm9Z2T0nvWVmp7y3kEWI9x6oc9OmZmect5BFufb6v2WO0xOzBWtDTjIaiVXtO973/vex1/+5V9+3h0/6lGPOp7//Ocft7jFLT5v9oYCDrJudHWfsdAXINajH7usr8S0zjMqOs/6Sk3rPSOj96yv1LTeMzJ6z/pKTes9I6P3rK/U9JT3DrIY4dYLfXbKzPSU8w6yON9W7x1kcdauOLsNOMg6u/1/Wfz0O9/5zsc111xz+revfvAHf/C48MILj2/4hm84/vu///t43etedzzrWc863vWud5128YhHPOJ4yUtecqN7+fRB1tVXX/05/5w73elOx7nnnnujf9b1LdzyEPAFiGnhxy7rKzGt84yKzrO+UtN6z8joPesrNa33jIzes75S03rPyOg96ys1PeW9gyxGuPVCn50yMz3lvIMszrfV+y13mJyYK1obcJDVSq5o3w984AOPk79t9bCHPew455xzPmvn73vf+07/ecF//ud/Pv29q6666jj5W1w35tenD7I+8YlP3Jg/4gtas+Uh4AsQ08CPXdZXYlrnGRWdZ32lpvWekdF71ldqWu8ZGb1nfaWm9Z6R0XvWV2p6ynsHWYxw64U+O2Vmesp5B1mcb6v3W+4wOTFXtDbgIKuV3LJ9v+IVrzge9KAHnZ7qSU960vHsZz/7Rp3QQdaNqu2zFvkCxHr0Y5f1lZjWeUZF51lfqWm9Z2T0nvWVmtZ7RkbvWV+pab1nZPSe9ZWanvLeQRYj3Hqhz06ZmZ5y3kEW59vqvYMsztoVZ7cBB1lnt39/+v818KEPfei41a1udfo/XXzxxccrX/nKG9WNg6wbVZuDrC+wNj92v8ACA5b70s8g6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvXeQxVm74uw24CDr7PbvT/+/Bv7jP/7juM1tbnP6P538zaw//uM/vlHdOMi6UbU5yPoCa/Nj9wssMGC5L/0Mgs6zvlLTes/I6D3rKzWt94yM3rO+UtN6z8joPesrNT3lvYMsRrj1Qp+dMjM95byDLM631XsHWZy1K85uAw6yzm7//vT/a+Dyyy8/fuAHfuD0f3rKU55yPP3pT79R3Xz6IOt7v/d7j7/92789rrvuuuO888477nrXux73v//9j8c//vHHrW996xv153++RVseAr4AfT7Sn/n7fuyyvhLTOs+o6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvd9yh8mJuaK1AQdZreQW7ft//ud/jgsuuOB4/etff3qqN77xjcfd7na3G3XCTx9k3dAfcDLUuuyyy46HPOQh+Gec/B/5z/Xr3e9+93GPe9zjNPLOd77zuOMd74h/RsICX4AYBT92WV+JaZ1nVHSe9ZWa1ntGRu9ZX6lpvWdk9J71lZrWe0ZG71lfqekp7x1kMcKtF/rslJnpKedPTqf3jHGr9w6yGGfTZ78BB1lnn8GX/Q6e9axnHT/zMz9z2sPJ38r6oz/6oxvdyckg62Uve9nx0Ic+9HSgdP755x8f+9jHjn/6p386XvziFx9XXnnl6Z99zjnnHC9/+cuPBzzgAehn3eQmNznjvIOs/63KF6AzVuY02PoCxE6Zl/alnzHxgof1lZrWe0ZG71lfqWm9Z2T0nvWVmtZ7RkbvWV+p6Snv/Z5lhP2eZX1Npqec9x6HU2n13kEWZ+2Ks9uAg6yz2/+X/U+/6qqrju/5nu85Pv7xjx9f+7Vfe1x99dWn//8b++uT/4zgDa1/7nOfe/zYj/3Y6W+fDLmuueaa4yu/8ivP+Mc5yDrjqj4V9MWfddb6AsROmZf2pZ8x8YKH9ZWa1ntGRu9ZX6lpvWdk9J71lZrWe0ZG71lfqekp7/2eZYT9nmV9TaannD/Zk94zMq3eO8hinE2f/QYcZJ19Bl+2O3jzm998XHjhhcd//ud/ng6T/vRP//S4973v/UXv40d+5EeOF77whac/5/d///ePH/qhHzrjn+k/LXjGVTnI4lWdrmh9AbqRx41Z5ks/Q+EFD+srNa33jIzes75S03rPyOg96ys1rfeMjN6zvlLTU957oc8I+z3L+ppMTzl/sie9Z2RavXeQxTibPvsNOMg6+wy+LHfwtre97bjXve51/Nu//dvpP/N38s8J3pj/ZtWNKe8Nb3jDp/47Vj/6oz96PO95z7sxf8z1rtnyEPAFiCnhxy7rKzGt84yKzrO+UtN6z8joPesrNa33jIzes75S03rPyOg96ys1PeW9F/qMcOuFPjtlZnrKeQdZnG+r91vuMDkxV7Q24CCrlVzxvk+GVyd/E+vaa689Tv6pvssuu+x41KMe9SU70Yc+9KHjVre61enPu/jii49XvvKVYz97y0PAFyCmhB+7rK/EtM4zKjrP+kpN6z0jo/esr9S03jMyes/6Sk3rPSOj96yv1PSU9w6yGOHWC312ysz0lPMOsjjfVu+33GFyYq5obcBBViu50n2/733vO+5zn/scb3nLW05P8JznPOd44hOf+CU9zYc//OHj3HPPdZD1OVr3BYgp6ccu6ysxrfOMis6zvlLTes/I6D3rKzWt94yM3rO+UtN6z8joPesrNT3lvYMsRrj1Qp+dMjM95byDLM631XsHWZy1K85uAw6yzm7/X1Y//b/+67+O7/7u7z7+5m/+5vTcv/Zrv3b87M/+7Je8gze+8Y3H3e9+99Ofe/Lfy3r+858/toctDwFfgJgSfuyyvhLTOs+o6DzrKzWt94yM3rO+UtN6z8joPesrNa33jIzes75S01PeO8hihFsv9NkpM9NTzjvI4nxbvd9yh8mJuaK1AQdZreTK9n3yt6C+7/u+7/jrv/7r053//M///PHLv/zLZ+UUJ/9drBe84AWnP/tFL3rR8chHPnJsH1seAr4AMSX82GV9JaZ1nlHRedZXalrvGRm9Z32lpvWekdF71ldqWu8ZGb1nfaWmp7x3kMUIt17os1Nmpqecd5DF+bZ6v+UOkxNzRWsDDrJayRXt+6Mf/ejxoAc96LjyyitPd33JJZccv/Ebv4FPcPLf0nrMYx5zuu6pT33qcemll37Gn3H11Vcft7zlLY873/nON/hnP+95zzse//jHn/7+He5wh+Otb33rp/6ZQbyh61mw5SHgCxCzwY9d1ldiWucZp7WzQwAAIABJREFUFZ1nfaWm9Z6R0XvWV2pa7xkZvWd9pab1npHRe9ZXanrKewdZjHDrhT47ZWZ6yvmT0+k9Y9zq/ZY7TEbLdHMDDrKa6ZXs/WEPe9jxspe97HS3J/+04MkQ6yY3uckN7v4Wt7jF8a3f+q2f9fufb5B18vsn/1TgRRdddDzgAQ84vu3bvu24zW1uc3z84x8//vEf//F48Ytf/Klh2jnnnHNcfvnlpwO2yV9bHgK+ADEr/NhlfSWmdZ5R0XnWV2pa7xkZvWd9pab1npHRe9ZXalrvGRm9Z32lpqe890KfEW690GenzExPOe8gi/Nt9X7LHSYn5orWBhxktZIr2vfnGlpd3zG+8Ru/8Xj7299+owZZn/wbW5+rnpPh1gtf+MLjIQ95yHiLWx4CvgAxNfzYZX0lpnWeUdF51ldqWu8ZGb1nfaWm9Z6R0XvWV2pa7xkZvWd9paanvHeQxQi3XuizU2amp5x3kMX5tnq/5Q6TE3NFawMOslrJFe37SzXI+vd///fjFa94xfG6173ueNOb3nS85z3vOd7//vcfn/jEJ46v+ZqvOb7927/9uP/97388+tGPPr7qq77qi9LgloeAL0BMDz92WV+JaZ1nVHSe9ZWa1ntGRu9ZX6lpvWdk9J71lZrWe0ZG71lfqekp7x1kMcKtF/rslJnpKecdZHG+rd5vucPkxFzR2oCDrFZy7juygS0PAV+AmF5+7LK+EtM6z6joPOsrNa33jIzes75S03rPyOg96ys1rfeMjN6zvlLTU947yGKEWy/02Skz01POO8jifFu933KHyYm5orUBB1mt5Nx3ZANbHgK+ADG9/NhlfSWmdZ5R0XnWV2pa7xkZvWd9pab1npHRe9ZXalrvGRm9Z32lpqe8d5DFCLde6LNTZqannHeQxfm2er/lDpMTc0VrAw6yWsm578gGtjwEfAFievmxy/pKTOs8o6LzrK/UtN4zMnrP+kpN6z0jo/esr9S03jMyes/6Sk1Pee8gixFuvdBnp8xMTznvIIvzbfV+yx0mJ+aK1gYcZLWSc9+RDWx5CPgCxPTyY5f1lZjWeUZF51lfqWm9Z2T0nvWVmtZ7RkbvWV+pab1nZPSe9ZWanvLeQRYj3Hqhz06ZmZ5y3kEW59vq/ZY7TE7MFa0NOMhqJee+IxvY8hDwBYjp5ccu6ysxrfOMis6zvlLTes/I6D3rKzWt94yM3rO+UtN6z8joPesrNT3lvYMsRrj1Qp+dMjM95byDLM631fstd5icmCtaG3CQ1UrOfUc2sOUh4AsQ08uPXdZXYlrnGRWdZ32lpvWekdF71ldqWu8ZGb1nfaWm9Z6R0XvWV2p6ynsHWYxw64U+O2Vmesp5B1mcb6v3W+4wOTFXtDbgIKuVnPuObGDLQ8AXIKaXH7usr8S0zjMqOs/6Sk3rPSOj96yv1LTeMzJ6z/pKTes9I6P3rK/U9JT3DrIY4dYLfXbKzPSU8w6yON9W77fcYXJirmhtwEFWKzn3HdnAloeAL0BMLz92WV+JaZ1nVHSe9ZWa1ntGRu9ZX6lpvWdk9J71lZrWe0ZG71lfqekp7x1kMcKtF/rslJnpKecdZHG+rd5vucPkxFzR2oCDrFZy7juygS0PAV+AmF5+7LK+EtM6z6joPOsrNa33jIzes75S03rPyOg96ys1rfeMjN6zvlLTU947yGKEWy/02Skz01POO8jifFu933KHyYm5orUBB1mt5Nx3ZANbHgK+ADG9/NhlfSWmdZ5R0XnWV2pa7xkZvWd9pab1npHRe9ZXalrvGRm9Z32lpqe8d5DFCLde6LNTZqannHeQxfm2er/lDpMTc0VrAw6yWsm578gGtjwEfAFievmxy/pKTOs8o6LzrK/UtN4zMnrP+kpN6z0jo/esr9S03jMyes/6Sk1Pee8gixFuvdBnp8xMTznvIIvzbfV+yx0mJ+aK1gYcZLWSc9+RDWx5CPgCxPTyY5f1lZjWeUZF51lfqWm9Z2T0nvWVmtZ7RkbvWV+pab1nZPSe9ZWanvLeQRYj3Hqhz06ZmZ5y3kEW59vq/ZY7TE7MFa0NOMhqJee+IxvY8hDwBYjp5ccu6ysxrfOMis6zvlLTes/I6D3rKzWt94yM3rO+UtN6z8joPesrNT3lvYMsRrj1Qp+dMjM95byDLM631fstd5icmCtaG3CQ1UrOfUc2sOUh4AsQ08uPXdZXYlrnGRWdZ32lpvWekdF71ldqWu8ZGb1nfaWm9Z6R0XvWV2p6ynsHWYxw64U+O2Vmesp5B1mcb6v3W+4wOTFXtDbgIKuVnPuObGDLQ8AXIKaXH7usr8S0zjMqOs/6Sk3rPSOj96yv1LTeMzJ6z/pKTes9I6P3rK/U9JT3DrIY4dYLfXbKzPSU8w6yON9W77fcYXJirmhtwEFWKzn3HdnAloeAL0BMLz92WV+JaZ1nVHSe9ZWa1ntGRu9ZX6lpvWdk9J71lZrWe0ZG71lfqekp7x1kMcKtF/rslJnpKecdZHG+rd5vucPkxFzR2oCDrFZy7juygS0PAV+AmF5+7LK+EtM6z6joPOsrNa33jIzes75S03rPyOg96ys1rfeMjN6zvlLTU947yGKEWy/02Skz01POO8jifFu933KHyYm5orUBB1mt5Nx3ZANbHgK+ADG9/NhlfSWmdZ5R0XnWV2pa7xkZvWd9pab1npHRe9ZXalrvGRm9Z32lpqe8d5DFCLde6LNTZqannHeQxfm2er/lDpMTc0VrAw6yWsm578gGtjwEfAFievmxy/pKTOs8o6LzrK/UtN4zMnrP+kpN6z0jo/esr9S03jMyes/6Sk1Pee8gixFuvdBnp8xMTznvIIvzbfV+yx0mJ+aK1gYcZLWSc9+RDWx5CPgCxPTyY5f1lZjWeUZF51lfqWm9Z2T0nvWVmtZ7RkbvWV+pab1nZPSe9ZWanvLeQRYj3Hqhz06ZmZ5y3kEW59vq/ZY7TE7MFa0NOMhqJee+IxvY8hDwBYjp5ccu6ysxrfOMis6zvlLTes/I6D3rKzWt94yM3rO+UtN6z8joPesrNT3lvYMsRrj1Qp+dMjM95byDLM631fstd5icmCtaG3CQ1UrOfUc2sOUh4AsQ08uPXdZXYlrnGRWdZ32lpvWekdF71ldqWu8ZGb1nfaWm9Z6R0XvWV2p6ynsHWYxw64U+O2Vmesp5B1mcb6v3W+4wOTFXtDbgIKuVnPuObGDLQ8AXIKaXH7usr8S0zjMqOs/6Sk3rPSOj96yv1LTeMzJ6z/pKTes9I6P3rK/U9JT3DrIY4dYLfXbKzPSU8w6yON9W77fcYXJirmhtwEFWKzn3HdnAloeAL0BMLz92WV+JaZ1nVHSe9ZWa1ntGRu9ZX6lpvWdk9J71lZrWe0ZG71lfqekp7x1kMcKtF/rslJnpKecdZHG+rd5vucPkxFzR2oCDrFZy7juygS0PAV+AmF5+7LK+EtM6z6joPOsrNa33jIzes75S03rPyOg96ys1rfeMjN6zvlLTU947yGKEWy/02Skz01POO8jifFu933KHyYm5orUBB1mt5Nx3ZANbHgK+ADG9/NhlfSWmdZ5R0XnWV2pa7xkZvWd9pab1npHRe9ZXalrvGRm9Z32lpqe8d5DFCLde6LNTZqannHeQxfm2er/lDpMTc0VrAw6yWsm578gGtjwEfAFievmxy/pKTOs8o6LzrK/UtN4zMnrP+kpN6z0jo/esr9S03jMyes/6Sk1Pee8gixFuvdBnp8xMTznvIIvzbfV+yx0mJ+aK1gYcZLWSc9+RDWx5CPgCxPTyY5f1lZjWeUZF51lfqWm9Z2T0nvWVmtZ7RkbvWV+pab1nZPSe9ZWanvLeQRYj3Hqhz06ZmZ5y3kEW59vq/ZY7TE7MFa0NOMhqJee+IxvY8hDwBYjp5ccu6ysxrfOMis6zvlLTes/I6D3rKzWt94yM3rO+UtN6z8joPesrNT3lvYMsRrj1Qp+dMjM95byDLM631fstd5icmCtaG3CQ1UrOfUc2sOUh4AsQ08uPXdZXYlrnGRWdZ32lpvWekdF71ldqWu8ZGb1nfaWm9Z6R0XvWV2p6ynsHWYxw64U+O2Vmesp5B1mcb6v3W+4wOTFXtDbgIKuVnPuObGDLQ8AXIKaXH7usr8S0zjMqOs/6Sk3rPSOj96yv1LTeMzJ6z/pKTes9I6P3rK/U9JT3DrIY4dYLfXbKzPSU8w6yON9W77fcYXJirmhtwEFWKzn3HdnAloeAL0BMLz92WV+JaZ1nVHSe9ZWa1ntGRu9ZX6lpvWdk9J71lZrWe0ZG71lfqekp7x1kMcKtF/rslJnpKecdZHG+rd5vucPkxFzR2oCDrFZy7juygS0PAV+AmF5+7LK+EtM6z6joPOsrNa33jIzes75S03rPyOg96ys1rfeMjN6zvlLTU947yGKEWy/02Skz01POO8jifFu933KHyYm5orUBB1mt5Nx3ZANbHgK+ADG9/NhlfSWmdZ5R0XnWV2pa7xkZvWd9pab1npHRe9ZXalrvGRm9Z32lpqe8d5DFCLde6LNTZqannHeQxfm2er/lDpMTc0VrAw6yWsm578gGtjwEfAFievmxy/pKTOs8o6LzrK/UtN4zMnrP+kpN6z0jo/esr9S03jMyes/6Sk1Pee8gixFuvdBnp8xMTznvIIvzbfV+yx0mJ+aK1gYcZLWSc9+RDWx5CPgCxPTyY5f1lZjWeUZF51lfqWm9Z2T0nvWVmtZ7RkbvWV+pab1nZPSe9ZWanvLeQRYj3Hqhz06ZmZ5y3kEW59vq/ZY7TE7MFa0NOMhqJee+IxvY8hDwBYjp5ccu6ysxrfOMis6zvlLTes/I6D3rKzWt94yM3rO+UtN6z8joPesrNT3lvYMsRrj1Qp+dMjM95byDLM631fstd5icmCtaG3CQ1UrOfUc2sOUh4AsQ08uPXdZXYlrnGRWdZ32lpvWekdF71ldqWu8ZGb1nfaWm9Z6R0XvWV2p6ynsHWYxw64U+O2Vmesp5B1mcb6v3W+4wOTFXtDbgIKuVnPuObGDLQ8AXIKaXH7usr8S0zjMqOs/6Sk3rPSOj96yv1LTeMzJ6z/pKTes9I6P3rK/U9JT3DrIY4dYLfXbKzPSU8w6yON9W77fcYXJirmhtwEFWKzn3HdnAloeAL0BMLz92WV+JaZ1nVHSe9ZWa1ntGRu9ZX6lpvWdk9J71lZrWe0ZG71lfqekp7x1kMcKtF/rslJnpKecdZHG+rd5vucPkxFzR2oCDrFZy7juygS0PAV+AmF5+7LK+EtM6z6joPOsrNa33jIzes75S03rPyOg96ys1rfeMjN6zvlLTU947yGKEWy/02Skz01POO8jifFu933KHyYm5orUBB1mt5Nx3ZANbHgK+ADG9/NhlfSWmdZ5R0XnWV2pa7xkZvWd9pab1npHRe9ZXalrvGRm9Z32lpqe8d5DFCLde6LNTZqannHeQxfm2er/lDpMTc0VrAw6yWsm578gGtjwEfAFievmxy/pKTOs8o6LzrK/UtN4zMnrP+kpN6z0jo/esr9S03jMyes/6Sk1Pee8gixFuvdBnp8xMTznvIIvzbfV+yx0mJ+aK1gYcZLWSc9+RDWx5CPgCxPTyY5f1lZjWeUZF51lfqWm9Z2T0nvWVmtZ7RkbvWV+pab1nZPSe9ZWanvLeQRYj3Hqhz06ZmZ5y3kEW59vq/ZY7TE7MFa0NOMhqJee+IxvY8hDwBYjp5ccu6ysxrfOMis6zvlLTes/I6D3rKzWt94yM3rO+UtN6z8joPesrNT3lvYMsRrj1Qp+dMjM95byDLM631fstd5icmCtaG3CQ1UrOfUc2sOUh4AsQ08uPXdZXYlrnGRWdZ32lpvWekdF71ldqWu8ZGb1nfaWm9Z6R0XvWV2p6ynsHWYxw64U+O2Vmesp5B1mcb6v3W+4wOTFXtDbgIKuVnPuObGDLQ8AXIKaXH7usr8S0zjMqOs/6Sk3rPSOj96yv1LTeMzJ6z/pKTes9I6P3rK/U9JT3DrIY4dYLfXbKzPSU8w6yON9W77fcYXJirmhtwEFWKzn3HdnAloeAL0BMLz92WV+JaZ1nVHSe9ZWa1ntGRu9ZX6lpvWdk9J71lZrWe0ZG71lfqekp7x1kMcKtF/rslJnpKecdZHG+rd5vucPkxFzR2oCDrFZy7juygS0PAV+AmF5+7LK+EtM6z6joPOsrNa33jIzes75S03rPyOg96ys1rfeMjN6zvlLTU947yGKEWy/02Skz01POO8jifFu933KHyYm5orUBB1mt5Nx3ZANbHgK+ADG9/NhlfSWmdZ5R0XnWV2pa7xkZvWd9pab1npHRe9ZXalrvGRm9Z32lpqe8d5DFCLde6LNTZqannHeQxfm2er/lDpMTc0VrAw6yWsm578gGtjwEfAFievmxy/pKTOs8o6LzrK/UtN4zMnrP+kpN6z0jo/esr9S03jMyes/6Sk1Pee8gixFuvdBnp8xMTznvIIvzbfV+yx0mJ+aK1gYcZLWSc9+RDWx5CPgCxPTyY5f1lZjWeUZF51lfqWm9Z2T0nvWVmtZ7RkbvWV+pab1nZPSe9ZWanvLeQRYj3Hqhz06ZmZ5y3kEW59vq/ZY7TE7MFa0NOMhqJee+IxvY8hDwBYjp5ccu6ysxrfOMis6zvlLTes/I6D3rKzWt94yM3rO+UtN6z8joPesrNT3lvYMsRrj1Qp+dMjM95byDLM631fstd5icmCtaG3CQ1UrOfUc2sOUh4AsQ08uPXdZXYlrnGRWdZ32lpvWekdF71ldqWu8ZGb1nfaWm9Z6R0XvWV2p6ynsHWYxw64U+O2Vmesp5B1mcb6v3W+4wOTFXtDbgIKuVnPuObGDLQ8AXIKaXH7usr8S0zjMqOs/6Sk3rPSOj96yv1LTeMzJ6z/pKTes9I6P3rK/U9JT3DrIY4dYLfXbKzPSU8w6yON9W77fcYXJirmhtwEFWKzn3HdnAloeAL0BMLz92WV+JaZ1nVHSe9ZWa1ntGRu9ZX6lpvWdk9J71lZrWe0ZG71lfqekp7x1kMcKtF/rslJnpKecdZHG+rd5vucPkxFzR2oCDrFZy7juygS0PAV+AmF5+7LK+EtM6z6joPOsrNa33jIzes75S03rPyOg96ys1rfeMjN6zvlLTU947yGKEWy/02Skz01POO8jifFu933KHyYm5orUBB1mt5Nx3ZANbHgK+ADG9/NhlfSWmdZ5R0XnWV2pa7xkZvWd9pab1npHRe9ZXalrvGRm9Z32lpqe8d5DFCLde6LNTZqannHeQxfm2er/lDpMTc0VrAw6yWsm578gGtjwEfAFievmxy/pKTOs8o6LzrK/UtN4zMnrP+kpN6z0jo/esr9S03jMyes/6Sk1Pee8gixFuvdBnp8xMTznvIIvzbfV+yx0mJ+aK1gYcZLWSc9+RDWx5CPgCxPTyY5f1lZjWeUZF51lfqWm9Z2T0nvWVmtZ7RkbvWV+pab1nZPSe9ZWanvLeQRYj3Hqhz06ZmZ5y3kEW59vq/ZY7TE7MFa0NOMhqJee+IxvY8hDwBYjp5ccu6ysxrfOMis6zvlLTes/I6D3rKzWt94yM3rO+UtN6z8joPesrNT3lvYMsRrj1Qp+dMjM95byDLM631fstd5icmCtaG3CQ1UrOfUc2sOUh4AsQ08uPXdZXYlrnGRWdZ32lpvWekdF71ldqWu8ZGb1nfaWm9Z6R0XvWV2p6ynsHWYxw64U+O2Vmesp5B1mcb6v3W+4wOTFXtDbgIKuVnPuObGDLQ8AXIKaXH7usr8S0zjMqOs/6Sk3rPSOj96yv1LTeMzJ6z/pKTes9I6P3rK/U9JT3DrIY4dYLfXbKzPSU8w6yON9W77fcYXJirmhtwEFWKzn3HdnAloeAL0BMLz92WV+JaZ1nVHSe9ZWa1ntGRu9ZX6lpvWdk9J71lZrWe0ZG71lfqekp7x1kMcKtF/rslJnpKecdZHG+rd5vucPkxFzR2oCDrFZy7juygS0PAV+AmF5+7LK+EtM6z6joPOsrNa33jIzes75S03rPyOg96ys1rfeMjN6zvlLTU947yGKEWy/02Skz01POO8jifFu933KHyYm5orUBB1mt5Nx3ZANbHgK+ADG9/NhlfSWmdZ5R0XnWV2pa7xkZvWd9pab1npHRe9ZXalrvGRm9Z32lpqe8d5DFCLde6LNTZqannHeQxfm2er/lDpMTc0VrAw6yWsm578gGtjwEfAFievmxy/pKTOs8o6LzrK/UtN4zMnrP+kpN6z0jo/esr9S03jMyes/6Sk1Pee8gixFuvdBnp8xMTznvIIvzbfV+yx0mJ+aK1gYcZLWSc9+RDWx5CPgCxPTyY5f1lZjWeUZF51lfqWm9Z2T0nvWVmtZ7RkbvWV+pab1nZPSe9ZWanvLeQRYj3Hqhz06ZmZ5y3kEW59vq/ZY7TE7MFa0NOMhqJee+IxvY8hDwBYjp5ccu6ysxrfOMis6zvlLTes/I6D3rKzWt94yM3rO+UtN6z8joPesrNT3lvYMsRrj1Qp+dMjM95byDLM631fstd5icmCtaG3CQ1UrOfUc2sOUh4AsQ08uPXdZXYlrnGRWdZ32lpvWekdF71ldqWu8ZGb1nfaWm9Z6R0XvWV2p6ynsHWYxw64U+O2Vmesp5B1mcb6v3W+4wOTFXtDbgIOv/tXcn4LqN9f/4bzJPyViOecqYfEtEGYsoSUWUkhSFq2QqvmVIOJJUiMiQBidE4SBUIvFF0WTKkGTI0BGJjP/rs/7XPr99ztn7nP3ZZ+1z7vXs17qururse63nXq/P+5z9POvz3Gt1tXLmXaVAr/wS8AYoFy8fdnNeNY6W+VxVZD7nVetouc9VRu5zXrWOlvtcZeQ+51XraLnPVUbuc161jm4r9xpZuQp39YJ+7izrHN1W5jWy8vXtau575RpmvmL26KqARlZXK2feVQr0yi8Bb4By8fJhN+dV42iZz1VF5nNetY6W+1xl5D7nVetouc9VRu5zXrWOlvtcZeQ+51Xr6LZyr5GVq3BXL+jnzrLO0W1lXiMrX9+u5r5XrmHmK2aPrgpoZHW1cuZdpUCv/BLwBigXLx92c141jpb5XFVkPudV62i5z1VG7nNetY6W+1xl5D7nVetouc9VRu5zXrWObiv3Glm5Cnf1gn7uLOsc3VbmNbLy9e1q7nvlGma+YvboqoBGVlcrZ95VCvTKLwFvgHLx8mE351XjaJnPVUXmc161jpb7XGXkPudV62i5z1VG7nNetY6W+1xl5D7nVevotnKvkZWrcFcv6OfOss7RbWVeIytf367mvleuYeYrZo+uCmhkdbVy5l2lQK/8EvAGKBcvH3ZzXjWOlvlcVWQ+51XraLnPVUbuc161jpb7XGXkPudV62i5z1VG7nNetY5uK/caWbkKd/WCfu4s6xzdVuY1svL17Wrue+UaZr5i9uiqgEZWVytn3lUK9MovAW+AcvHyYTfnVeNomc9VReZzXrWOlvtcZeQ+51XraLnPVUbuc161jpb7XGXkPudV6+i2cq+RlatwVy/o586yztFtZV4jK1/frua+V65h5itmj64KaGR1tXLmXaVAr/wS8AYoFy8fdnNeNY6W+VxVZD7nVetouc9VRu5zXrWOlvtcZeQ+51XraLnPVUbuc161jm4r9xpZuQp39YJ+7izrHN1W5jWy8vXtau575RpmvmL26KqARlZXK2feVQr0yi8Bb4By8fJhN+dV42iZz1VF5nNetY6W+1xl5D7nVetouc9VRu5zXrWOlvtcZeQ+51Xr6LZyr5GVq3BXL+jnzrLO0W1lXiMrX9+u5r5XrmHmK2aPrgpoZHW1cuZdpUCv/BLwBigXLx92c141jpb5XFVkPudV62i5z1VG7nNetY6W+1xl5D7nVetouc9VRu5zXrWObiv3Glm5Cnf1gn7uLOsc3VbmNbLy9e1q7nvlGma+YvboqoBGVlcrZ95VCvTKLwFvgHLx8mE351XjaJnPVUXmc161jpb7XGXkPudV62i5z1VG7nNetY6W+1xl5D7nVevotnKvkZWrcFcv6OfOss7RbWVeIytf367mvleuYeYrZo+uCmhkdbVy5l2lQK/8EvAGKBcvH3ZzXjWOlvlcVWQ+51XraLnPVUbuc161jpb7XGXkPudV62i5z1VG7nNetY5uK/caWbkKd/WCfu4s6xzdVuY1svL17Wrue+UaZr5i9uiqgEZWVytn3lUK9MovAW+AcvHyYTfnVeNomc9VReZzXrWOlvtcZeQ+51XraLnPVUbuc161jpb7XGXkPudV6+i2cq+RlatwVy/o586yztFtZV4jK1/frua+V65h5itmj64KaGR1tXLmXaVAr/wS8AYoFy8fdnNeNY6W+VxVZD7nVetouc9VRu5zXrWOlvtcZeQ+51XraLnPVUbuc161jm4r9xpZuQp39YJ+7izrHN1W5jWy8vXtau575RpmvmL26KqARlZXK2feVQr0yi8Bb4By8fJhN+dV42iZz1VF5nNetY6W+1xl5D7nVetouc9VRu5zXrWOlvtcZeQ+51Xr6LZyr5GVq3BXL+jnzrLO0W1lXiMrX9+u5r5XrmHmK2aPrgpoZHW1cuZdpUCv/BLwBigXLx92c141jpb5XFVkPudV62i5z1VG7nNetY6W+1xl5D7nVetouc9VRu5zXrWObiv3Glm5Cnf1gn7uLOsc3VbmNbLy9e1q7nvlGma+YvboqoBGVlcrZ95VCvTKLwFvgHLx8mE351XjaJnPVUXmc161jpb7XGXkPudV62i5z1VG7nNetY6W+1xl5D7nVevotnKvkZWrcFcv6OfOss7RbWVeIytf367mvleuYeYrZo+uCmhkdbVy5l2lQK/8EvAGKBcvH3ZzXjWOlvlcVWQ+51XraLnPVUbuc161jpb7XGXkPudV62i5z1VG7nNetY5uK/caWbkKd/WCfu4s6xzdVuY1svL17WqViRCxAAAgAElEQVTue+UaZr5i9uiqgEZWVytn3lUK9MovAW+AcvHyYTfnVeNomc9VReZzXrWOlvtcZeQ+51XraLnPVUbuc161jpb7XGXkPudV6+i2cq+RlatwVy/o586yztFtZV4jK1/frua+V65h5itmj64KaGR1tXLmXaVAr/wS8AYoFy8fdnNeNY6W+VxVZD7nVetouc9VRu5zXrWOlvtcZeQ+51XraLnPVUbuc161jm4r9xpZuQp39YJ+7izrHN1W5jWy8vXtau575RpmvmL26KqARlZXK2feVQr0yi8Bb4By8fJhN+dV42iZz1VF5nNetY6W+1xl5D7nVetouc9VRu5zXrWOlvtcZeQ+51Xr6LZyr5GVq3BXL+jnzrLO0W1lXiMrX9+u5r5XrmHmK2aPrgpoZHW1cuZdpUCv/BLwBigXLx92c141jpb5XFVkPudV62i5z1VG7nNetY6W+1xl5D7nVetouc9VRu5zXrWObiv3Glm5Cnf1gn7uLOsc3VbmNbLy9e1q7nvlGma+YvboqoBGVlcrZ95VCvTKLwFvgHLx8mE351XjaJnPVUXmc161jpb7XGXkPudV62i5z1VG7nNetY6W+1xl5D7nVevotnKvkZWrcFcv6OfOss7RbWVeIytf367mvleuYeYrZo+uCmhkdbVy5l2lQK/8EvAGKBcvH3ZzXjWOlvlcVWQ+51XraLnPVUbuc161jpb7XGXkPudV62i5z1VG7nNetY5uK/caWbkKd/WCfu4s6xzdVuY1svL17Wrue+UaZr5i9uiqgEZWVytn3lUK9MovAW+AcvHyYTfnVeNomc9VReZzXrWOlvtcZeQ+51XraLnPVUbuc161jpb7XGXkPudV6+i2cq+RlatwVy/o586yztFtZV4jK1/frua+V65h5itmj64KaGR1tXLmXaVAr/wS8AYoFy8fdnNeNY6W+VxVZD7nVetouc9VRu5zXrWOlvtcZeQ+51XraLnPVUbuc161jm4r9xpZuQp39YJ+7izrHN1W5jWy8vXtau575RpmvmL26KqARlZXK2feVQr0yi8Bb4By8fJhN+dV42iZz1VF5nNetY6W+1xl5D7nVetouc9VRu5zXrWOlvtcZeQ+51Xr6LZyr5GVq3BXL+jnzrLO0W1lXiMrX9+u5r5XrmHmK2aPrgpoZHW1cuZdpUCv/BLwBigXLx92c141jpb5XFVkPudV62i5z1VG7nNetY6W+1xl5D7nVetouc9VRu5zXrWObiv3Glm5Cnf1gn7uLOsc3VbmNbLy9e1q7nvlGma+YvboqoBGVlcrZ95VCvTKLwFvgHLx8mE351XjaJnPVUXmc161jpb7XGXkPudV62i5z1VG7nNetY6W+1xl5D7nVevotnKvkZWrcFcv6OfOss7RbWVeIytf367mvleuYeYrZo+uCmhkdbVy5l2lQK/8EvAGKBcvH3ZzXjWOlvlcVWQ+51XraLnPVUbuc161jpb7XGXkPudV62i5z1VG7nNetY5uK/caWbkKd/WCfu4s6xzdVuY1svL17Wrue+UaZr5i9uiqgEZWVytn3lUK9MovAW+AcvHyYTfnVeNomc9VReZzXrWOlvtcZeQ+51XraLnPVUbuc161jpb7XGXkPudV6+i2cq+RlatwVy/o586yztFtZV4jK1/frua+V65h5itmj64KaGR1tXLmXaVAr/wS8AYoFy8fdnNeNY6W+VxVZD7nVetouc9VRu5zXrWOlvtcZeQ+51XraLnPVUbuc161jm4r9xpZuQp39YJ+7izrHN1W5jWy8vXtau575RpmvmL26KqARlZXK2feVQr0yi8Bb4By8fJhN+dV42iZz1VF5nNetY6W+1xl5D7nVetouc9VRu5zXrWOlvtcZeQ+51Xr6LZyr5GVq3BXL+jnzrLO0W1lXiMrX9+u5r5XrmHmK2aPrgpoZHW1cuZdpUCv/BLwBigXLx92c141jpb5XFVkPudV62i5z1VG7nNetY6W+1xl5D7nVetouc9VRu5zXrWObiv3Glm5Cnf1gn7uLOsc3VbmNbLy9e1q7nvlGma+YvboqoBGVlcrZ95VCvTKLwFvgHLx8mE351XjaJnPVUXmc161jpb7XGXkPudV62i5z1VG7nNetY6W+1xl5D7nVevotnKvkZWrcFcv6OfOss7RbWVeIytf367mvleuYeYrZo+uCmhkdbVy5l2lQK/8EvAGKBcvH3ZzXjWOlvlcVWQ+51XraLnPVUbuc161jpb7XGXkPudV62i5z1VG7nNetY5uK/caWbkKd/WCfu4s6xzdVuY1svL17Wrue+UaZr5i9uiqgEZWVytn3lUK9MovAW+AcvHyYTfnVeNomc9VReZzXrWOlvtcZeQ+51XraLnPVUbuc161jpb7XGXkPudV6+i2cq+RlatwVy/o586yztFtZV4jK1/frua+V65h5itmj64KaGR1tXLmXaVAr/wS8AYoFy8fdnNeNY6W+VxVZD7nVetouc9VRu5zXrWOlvtcZeQ+51XraLnPVUbuc161jm4r9xpZuQp39YJ+7izrHN1W5jWy8vXtau575RpmvmL26KqARlZXK2feVQr0yi8Bb4By8fJhN+dV42iZz1VF5nNetY6W+1xl5D7nVetouc9VRu5zXrWOlvtcZeQ+51Xr6LZyr5GVq3BXL+jnzrLO0W1lXiMrX9+u5r5XrmHmK2aPrgpoZHW1cuZdpUCv/BLwBigXLx92c141jpb5XFVkPudV62i5z1VG7nNetY6W+1xl5D7nVetouc9VRu5zXrWObiv3Glm5Cnf1gn7uLOsc3VbmNbLy9e1q7nvlGma+YvboqoBGVlcrZ95VCvTKLwFvgHLx8mE351XjaJnPVUXmc161jpb7XGXkPudV62i5z1VG7nNetY6W+1xl5D7nVevotnKvkZWrcFcv6OfOss7RbWVeIytf367mvleuYeYrZo+uCmhkdbVy5l2lQK/8EvAGKBcvH3ZzXjWOlvlcVWQ+51XraLnPVUbuc161jpb7XGXkPudV62i5z1VG7nNetY5uK/caWbkKd/WCfu4s6xzdVuY1svL17Wrue+UaZr5i9uiqgEZWVytn3lUK9MovAW+AcvHyYTfnVeNomc9VReZzXrWOlvtcZeQ+51XraLnPVUbuc161jpb7XGXkPudV6+i2cq+RlatwVy/o586yztFtZV4jK1/frua+V65h5itmj64KaGR1tXLmXaVAr/wS8AYoFy8fdnNeNY6W+VxVZD7nVetouc9VRu5zXrWOlvtcZeQ+51XraLnPVUbuc161jm4r9xpZuQp39YJ+7izrHN1W5jWy8vXtau575RpmvmL26KqARlZXK2feVQr0yi8Bb4By8fJhN+dV42iZz1VF5nNetY6W+1xl5D7nVetouc9VRu5zXrWOlvtcZeQ+51Xr6LZyr5GVq3BXL+jnzrLO0W1lXiMrX9+u5r5XrmHmK2aPrgpoZHW1ch2d93333Ve++c1vlvHjx5f777+/zDnnnGWFFVYo22+/fdlzzz3LPPPM08qZXXrppeWUU04pN954Y3n00UfLoosuWtZZZ52y2267lS233LKV1xjoIL3yS8AboFxEfNjNedU4WuZzVZH5nFeto+U+Vxm5z3nVOlruc5WR+5xXraPlPlcZuc951Tq6rdxrZOUq3NUL+rmzrHN0W5nXyMrXt6u575VrmPmK2aOrAhpZXa1cB+d90UUXlZ122qk8+eSTA85+5ZVXbhpcK6644rDP7qWXXmqaVaeddtqgx/j4xz9evv3tb5dZZ5112K8z2I698kvAG6BcNHzYzXnVOFrmc1WR+ZxXraPlPlcZuc951Tpa7nOVkfucV62j5T5XGbnPedU6uq3ca2TlKtzVC/q5s6xzdFuZ18jK17erue+Va5j5itmjqwIaWV2tXMfmffPNN5cNNtigPPPMM2W++eYrBx54YNlkk02a/z9u3Lhy6qmnNmcUzaybbrqpzD///MM6wzju2LFjm33XXnvtcsABBzQrvu6+++7yla98pcQ8YotxRx555LBeY2o79covAW+ActHwYTfnVeNomc9VReZzXrWOlvtcZeQ+51XraLnPVUbuc161jpb7XGXkPudV6+i2cq+RlatwVy/o586yztFtZT7OTu5zNe5q7nvlGmauWkZ3WUAjq8vV69DcN9xww3LNNdeU2WabrVx99dXlzW9+8ySzP+aYY5qmU2yHHHJIOfTQQ9Nnd+edd5bVV1+9vPDCC+WNb3xj8zpzzz33xOP85z//KRtttFHTKIt53HbbbdO1+mugCfbKLwFvgHLx82E351XjaJnPVUXmc161jpb7XGXkPudV62i5z1VG7nNetY6W+1xl5D7nVevotnLvgn6uwl29oJ87yzpHt5V5jax8fbua+165hpmvmD26KqCR1dXKdWjeN9xwQ1l33XWbGe++++7l5JNPnmL2cUvANdZYo2kuLbjgguWRRx4ps88+e+os99hjj3LSSSc1+1x33XVlvfXWm2L/66+/fmITLcafeOKJqdeY1uBe+SXgDdC0Kj3pz33YzXnVOFrmc1WR+ZxXraPlPlcZuc951Tpa7nOVkfucV62j5T5XGbnPedU6uq3ca2TlKtzVC/q5s6xzdFuZj7OT+1yNu5r7XrmGmauW0V0W0MjqcvU6MveDDjqoHHXUUc1so5HU19SafPpxS8C45V9sP/vZz8rmm28+5DN8+eWXy5JLLlkefPDBssoqqzQNscG2+Pkdd9xRxowZU+6///4yyyyzDPl1pjWwV34JeAM0rUpP+nMfdnNeNY6W+VxVZD7nVetouc9VRu5zXrWOlvtcZeQ+51XraLnPVUbuc161jm4r9y7o5yrc1Qv6ubOsc3RbmY+zk/tcjbua+165hpmrltFdFtDI6nL1OjL3vtsKzjvvvOWJJ55obus30BarqNZff/3mRwcffHA57LDDhnyG99xzT/MsrNgGW/XVd7D4+SmnnNL839hvueWWG/LrTGtgr/wS8AZoWpWe9Oc+7Oa8ahwt87mqyHzOq9bRcp+rjNznvGodLfe5ysh9zqvW0XKfq4zc57xqHd1W7l3Qz1W4qxf0c2dZ5+i2Mh9nJ/e5Gnc1971yDTNXLaO7LKCR1eXqdWTuiy66aHnsscfKWmutVW655ZZBZz1hwoSy0EILNT/fbrvtyjnnnDPkM7z44ovL1ltv3Yw/7rjjyt577z3ovvHzffbZp/n5+PHjy1ZbbTXk15nWwF75JeAN0LQqPenPfdjNedU4WuZzVZH5nFeto+U+Vxm5z3nVOlruc5WR+5xXraPlPlcZuc951Tq6rdy7oJ+rcFcv6OfOss7RbWU+zk7uczXuau575RpmrlpGd1lAI6vL1evA3J999tky99xzNzN95zvfWaLhNLVtvvnmK08//XTzfKtYoTXULZ679alPfaoZfu6555b3v//9g+563nnnNY2y2GK/WKE11C3+kZ/aFrcq7FtVFs8Ge81rXjPUQ1c1br0jf97afK6fa6/WjvW2pca0dqyTTnihtWNd++YjWjvWR8du0NqxHGjoAjI/dKsYKfM5r1pHy32uMnKf86p1tNznKiP3Oa9aR8t9rjJyn/OqdXRbufd5Nldhn2dzXm2ObivzMSe5z1Wmq7l/6KGHypve9KbmZO+9996y7LLL5k7caAIzWEAjawaDj7aXe/TRR8tiiy3WnPYHPvCBMm7cuKkSLL744uWRRx4pa6yxRvnjH/84ZK5jjjmmHHDAAc34Sy+9tLzjHe8YdN/4ed8qrK9+9atl3333HfLrtPk8rSG/qIEECBAgQIAAAQIECBAgQIAAAQIECBAYAYH4Mv4666wzAkd2SALtCWhktWfpSAMIxAqlpZdeuvnJhz/84XLWWWdN1SnGxj7xvKu77rpryKaHH35481yt2H7+85+XTTfddNB9f/GLX5TNNtus+Xns94UvfGHIr6ORNWQqAwkQIECAAAECBAgQIECAAAECBAgQqFxAI6vyApleI6CRJQgjKtBrK7KmdWvBuJXi7bffXmJlWTwbbLbZZhtRXwf/fwL9l0R3+baOakogIyD3GS1je0VA7nulks5jqAIyP1Qp43pJQO57qZrOZagCcj9UKeN6SUDuZ141X3jhhRLXbWNbc801y1xzzTXzJuOVCQxBQCNrCEiGDF+g156RNXwJe460gIdUjrSw49coIPc1VsWcRlpA7kda2PFrE5D52ipiPjNCQO5nhLLXqE1A7muriPnMCAG5nxHKXoNAbwhoZPVGHas+i0UWWaQ8/vjjZa211iq33HLLoHOdMGFCWWihhZqfb7fdduWcc84Z8nldfPHFZeutt27GH3fccWXvvfcedN/4+T777NP8fPz48ROflzXkFzOwSgFvfqosi0mNsIDcjzCww1cpIPdVlsWkRlBA5kcQ16GrFZD7aktjYiMoIPcjiOvQ1QrIfbWlMTEC1QloZFVXkt6b0IYbbliuueaaMu+885Ynnnhi0NvtXXfddWX99ddvAOJ5V4cddtiQMe65557muVqx7b777uXkk08edN/4+SmnnNL8PPZbbrnlhvw6BtYr4M1PvbUxs5ETkPuRs3XkegXkvt7amNnICMj8yLg6at0Ccl93fcxuZATkfmRcHbVuAbmvuz5mR6AmAY2smqrRo3M56KCDylFHHdWc3fXXX1/WXXfdAc907Nix5cADD2x+9rOf/axsvvnmQxZ5+eWXy5JLLlkefPDBssoqq5Tbbrtt0H1XXXXV5jlWY8aMKffff3+ZZZZZhvw6BtYr4M1PvbUxs5ETkPuRs3XkegXkvt7amNnICMj8yLg6at0Ccl93fcxuZATkfmRcHbVuAbmvuz5mR6AmAY2smqrRo3O54YYbJjavBlst9dJLL5U11lijaUAtuOCC5ZFHHimzzz57SmSPPfYoJ510UrNPrO5ab731ptg/GmlvfvObmz+P8SeeeGLqNQyuV8Cbn3prY2YjJyD3I2fryPUKyH29tTGzkRGQ+ZFxddS6BeS+7vqY3cgIyP3IuDpq3QJyX3d9zI5ATQIaWTVVo4fn0nd7wdlmm61cffXVE5tJfad8zDHHlAMOOKD5v4ccckg59NBDJ9G46qqryiabbNL82c4771zOPPPMKbTuvPPOstpqq5UXX3yxvPGNb2xeZ+6555447plnnikxj5tuuqm5veGtt95aVlpppR5WH12n5s3P6Kq3s/3/BeReEkajgNyPxqqP7nOW+dFd/9F69nI/Wis/us9b7kd3/Ufr2cv9aK288yaQF9DIypvZYxgCN998c9lggw1KNJPmm2++ErcbjMZU/P9x48ZNfGbVyiuv3DSa5p9//nQjK3aIWxPGLQpjW3vttcvnPve55tlZd999dzn66KNLzKNv3JFHHjmMM7FLrQLe/NRaGfMaSQG5H0ldx65VQO5rrYx5jZSAzI+UrOPWLCD3NVfH3EZKQO5HStZxaxaQ+5qrY24E6hLQyKqrHj09m4suuqjstNNO5cknnxzwPKOJNX78+LLiiitO8fOhrMiKneIWhZ/4xCfK6aefPqjlrrvu2jTOZp111p72Hm0n583PaKu48w0BuZeD0Sgg96Ox6qP7nGV+dNd/tJ693I/Wyo/u85b70V3/0Xr2cj9aK++8CeQFNLLyZvaYDoH77ruvfOMb32gaVvHLao455mgaV9ttt13Za6+9yjzzzDPg0YfayOrb+ZJLLmmaVTfeeGN57LHHyiKLLFLWWWedEs/o2nLLLafjDOxKgAABAgQIECBAgAABAgQIECBAgAABAgQIzCgBjawZJe11CBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEUgIaWSkugwkQIECAAAECBAgQIECAAAECBAgQIECAAAECBGaUgEbWjJL2OgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAikBjawUl8EECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIzSkAja0ZJex0CBAgQIECAAAECBAgQIECAAAECBAgQIECAAIGUgEZWistgAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBGSWgkTWjpL0OAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBASkAjK8VlMAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwIwS0MiaUdJehwABAgQIECBAgAABAgQIECBAgAABAgQIECBAICWgkZXiMpgAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGBGCWhkzShpr0OAAAECBAgQIECAAAECBAgQIECAAAECBAgQIJAS0MhKcRlMgAABAgQIECBAgACBmSPwzDPPlEcffbR58aWXXnrmTMKrEiBAgAABAgQIECBAYAYLaGTNYHAvR4AAAQIECBAgQIAAgeEI/OhHPyof/OAHyyyzzFJeeOGF4RzCPgQIECBQqcCNN95Y4t/5+O/40sJss81WxowZU9761reWXXbZpbzmNa+pdOamRYAAAQIERl5AI2vkjb0CAQIECBAgQIAAAQIEplsgLnDuuOOOTSPrxRdfnO7jOQCB2gUefvjh8sADDzTTXGKJJVzIr71g5jegwJ///Ody2mmnlVlnnbWMHTu2aVD135588snysY99rFxwwQWDCs4xxxzly1/+ctl3330pE+iEwNVXX11WWmkl/253olomSaAbAhpZ3aiTWRIgQIDAKBX49a9/Xc4777xy9913l1e84hVl1VVXLdtvv31Ze+21pynyl7/8pWyxxRbNBc/Y30aglwSeeOKJctlll5X77ruvzDfffGXNNddsvrEcebcR6IJAXODJbj//+c/L4Ycf3uT8qquuKi+//PIkh9hwww2zhzSeQHUC0aQ96aSTyvHHH1/uuuuuSea3wgorlD333LPsscceZfbZZ69u7iZEYCCBQw45pPm3e4MNNijXXHPNJEOee+65summm5brrrtu4r/p0ehaZJFFmi8sPPbYYxP/PP7t/+IXv1gOPfRQ0ASqF4jGbXx+3WyzzcrOO+9ctt122zLXXHNVP28TJECgXgGNrHprY2YECLQs8N3vfrf5ppvb8bQM63AjIvD88883txA5++yzBzz++973vvKtb32r+ZA72Bbf/oyL+765PyIlctAREvjjH/9YDjvssOZCz7PPPltWWWWV8tnPfrbssMMOE1/xrLPOKnvttVd5+umnJ5nF8ssvX0455ZSyySabjNDsHJZAewJxgWc4jde+5tXk+3p/015tHGnkBOKCfWT19NNPL8sss8wULxQrU97znveUX/3qV83PJm/W9uU+vrhw4YUXlgUWWGDkJuvIBFoSiC8ZXHvtteWYY44p++yzzyRHPfbYY8v+++/f/L143eteV4444ojmwv+cc87ZjHvqqafK+eef3zSw/v73vzerun7729+WtdZaq6XZOQyBkRGIrMbW9+92fPFsu+22Kx/+8IfLRhttNDIv6qgECPS0gEZWT5fXyREg0F8gGlnRGHBRXy66IPDRj360xMX6wbbI8eKLL17OPffc5tudA20aWV2otDn2F7j88svLNttsU+LbyZNfrD/wwAObW+qMHz++ucg52G3V4sJPjImLpTYCNQv0NbImv1A/3Dl7fzNcOfvNSIG+3MeXFlZbbbUpXvq9731v+clPftL8eay4evvb396Mi3zfeuut5Yorrmh+R8T/f//73988T8hGoHaBpZdeurlF5pVXXjnFl23iCztxF4X11luvxKrbwVasxG023/SmNzXHiS9nnnrqqbWftvmNcoGB3uf0NbXiiwzR0Ir/rLjiiqNcyukTIDBUAY2soUoZR4BA5wU0sjpfwlFzAvGNzb5bpMV9xeObmrHC5L///W9zK6mjjz663HDDDY3H3HPP3VzEede73jWFj0bWqIlMT5zoP//5z2b1VdxCJ7bXvva1Zf755y+33HJLeeGFF5qLlpH7WJl1zz33NN/ojKbXoosu2lzUiabuJZdc0uwbF4xuv/12ty/piWT07kn0XeBZbLHFyq677jqk26T96U9/Kj/+8Y+bvw8HH3zwFDhx+yobgZoFptbIivc4fSu2Xv/61ze3Vl5uueUmOZ177723xKr0+N0Qfw9+85vflHXXXbfmUzY3As379WjA3nzzzc2qq75twoQJZeGFF26yHKsQ3/KWt0xVK+7GECvSYwX65LfdxEygNoG+f+/HjRtXbrrppvLDH/5w4jMP+68qjyZufIkzbp//yle+srbTMB8CBCoS0MiqqBimQoDAyApoZI2sr6O3JxDfsjzzzDPLkksu2VyoWWihhSY5eHx7/2tf+1qJFSpxgT/uo3/GGWeUD33oQ5OM08hqryaONPICcbudz33uc02eoykVTarY7rjjjrLxxhuXRx55pMSFzfg7EasVJ897jD3uuOOah6DHh+P4O/GRj3xk5CfuFQgMUyDyHpmN1YXRxD355JObLzFMbYsvLuy4445Wlw/T3G4zX2Bqjay+1ehx2+R4DxNfVBho+8c//tHcOvnxxx8vu+++e3OrZRuBmgXiCwuR12jW9v93PppRK6+8cvNv+n/+85+JtxMc7FziloLrrLNO0xib/PbKNZ+/uY1Ogcn/vY/PsLHqMN7HX3DBBRMz3NfUirsqxJcz43laW265ZXMbTRsBAgT6C2hkyQMBAtULxEX9Nrb4oPDrX//axZ82MB1jRAViJUrkNZpVn/nMZwZ9rfjmZtyCJ77NGW/0TzjhhPLJT35y4niNrBEtk4O3LBCrDq+++upmpVV8c7P/Fn8X9ttvv+bf73hQdHxLf7AtLhDFN/TjG/vnnHNOy7N0OALtCkRjdrfddmu+qRz5jgv50dSd/AsMfa+qkdWuv6PNeIGpNbLigv7dd99d/vd//7d86UtfmurkvvCFL5QjjzyyWd0Sf49sBGoWiObT7373uymekdV/RVasTJ/WapT4LBvP24pxsa+NQM0CU/v3PoESk+AAACAASURBVBqxscI8mlrR4H3ppZeaU+lrasUXGeJLa3Hrwfgim40AAQLNvxEvt3VTdp4ECBAYIYHhPgx9oOnEP3meITFChXLY1gTidmrxrczrrruuuRf+1LZoVm2xxRblwQcfbLIdtx2MC/6xaWS1VhIHmgEC8cy3uK1gXKiP55703/p/Y/nss89ubj0y2BarWvbYY4/mfvt33nnnDJi5lyAwfQLx3uQb3/hGc6vAuLATTayvfOUrzXM9J980sqbP2t4zX2BqFzYXWGCB5u9APC9xs802m+pk41v98fysV73qVc1KFxuBmgXitq+HH354c9vkuEXsK17xionTjdWF8fy3H/zgB83tk6e2HXTQQWXs2LHNhf1ojNkI1CwwrWci9s09bhH+ve99r3z/+99v/i70bX1NrTXWWKNZpfXBD36wvPrVr675lM2NAIERFtDIGmFghydAYPoFPAx9+g0doVsC8ZDn559/vnke0Bve8IZpTj6eF/G2t72txH/HG/74lvJhhx2mkTVNOQNqEojbicStMuMZcXGv/P7bM888U+add96Jz8ma2t+LvmfMxQXRJ554oqZTNBcCUxW4//77mybs+PHjm6zHs1KiMbvqqqtO3E8jS4i6LjC1C5vx7/yzzz47xXOEBjrn3//+92Xttdduni0XzxC1EahZIP59X2211ZovqsUF+e985zsTb5sWzw3aaaedyhJLLNGsTIkv4gy0/fKXvyzvfOc7m7xHY2yg5yTWbGBuo09gqI2s/jJx+8x4JES833n00UebH/U1tOL24/69H305csYE+gtoZMkDAQLVC8Sy8rjVwuabb95c0BnuFrei2n///a3IGi6g/WaYwFJLLdWssIrMxm3UhrLF+Phm8m233dZkfO+99y5xW874lqdViEMRNGZmCyy44ILlqaeeGnQl4lA/DP/hD39ovqns4ubMrqjXH65A3BIzbisbzwGKHO+zzz7NBct4JopG1nBV7VeLwNT+LV999dXL7bffXq655pqy/vrrT3XK119/fTNm4YUXnnixs5ZzNA8CAwkcf/zxzb/t8b58rbXWKp///OebxlQ0cON9+ze/+c3mf3/iE59o3tPH54F4huI999zTPE8oVqTH/48VKXHXhViNaCNQs8BQ37sPdA7x5bZLL720ufXgxRdf3DSwfKatudrmRmDGCGhkzRhnr0KAwHQIbLXVVuWyyy4ryyyzTLPiZLhbfLMnbtPjDdBwBe03owTiVoFXXnll82E3ng001C1urRMN35tvvrnJ+aabbto8UFfmhypo3MwUWGmllZqLNeeff37ZZpttppjKUD8Mx/OxYiVLXOiJBq+NQBcF/vWvfzVfvjnttNOa6cd7oLgI+u9//7vsuOOO/l3vYlHNuRHo+7f8U5/6VFlsscUmUYkmbnwh59RTT22+jDO1LZ6lGLeZilu1xT42Al0Q+PKXv9x8MaFvhUn897LLLlsWWWSREl/EiRWJfT+b/HziNrTxpZ+4qD+tRm8XLMyx9wWG+t59WhJxh4X4Nz9uPRjPibMRIDB6BTSyRm/tnTmBzgj03VM83tQ//PDDJVZoDWfTyBqOmn1mhkDcQz9yP2bMmPK3v/1t0A+0A83tySefLNH8jYv58XfGc+FmRgW95nAENt544+Zb+PGsoL322muKQ8S/4bHFKsW4beBgW9xjP27bE992jqaujUCXBeLvxG677VbuuOOO5t/05Zdfvtx9990aWV0u6iif+1CefRvN2rhgObUtvuwTzd0tt9yyuR2njUBXBOJLZtHIjed/9m0DNa8mf5x9ZP3rX/96iS/+2Ah0QaCtRlYXztUcCRCYMQIaWTPG2asQIDAdAvHhdOutt24u2lx00UXNRfrhbBpZw1Gzz8wQiHuDr7POOk3m49vJ73vf+1LTiOcJvec97ylXXHFFs58VWSk+g2eSwH777VeOO+64pgl1+umnD3sWu+++e/Nt/vh7c+655w77OHYkUItAPDPxiCOOKGPHji3PPfecf9drKYx5DEsgLmxOa4vbqz3wwAODfmkhbq8WqxQfeuih5pmg8WxQG4EuCUST6vLLL2/ep8RtMuOWmi+99NIkpxBf3ozbbW644YbNe5q4XbiNQJcENLK6VC1zJdANAY2sbtTJLAmMaoF4yOfiiy/eGMQqlfjPcLZrr722ebBubGecccZwDmEfAjNMID60xgWaVVddtVx44YXp140LnzvssENzT32NrDSfHWaCQN+zf5Zeeuny17/+dVgziPvnx0rGCRMmlGOPPbZ55oSNQK8IxKqsaPb2Pejce5leqazzyArErdVi5W68v4nnp7z1rW/NHsJ4AlUJRGMrbin79NNPl7nmmqvMP//8ZY455qhqjiZDICsQd1uIf6fPPPPM5ssHNgIECEyvgEbW9AranwABAgQIECBAYLoFnnrqqXLDDTc0x4nnuw32jIipvVCsvD300EObIfFNZ7ffme6yOAABAgQIECBAgAABAgQIEJjpAhpZM70EJkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDCQgEaWXBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECFQpoJFVZVlMigABAgQIECBAgAABAgQIECBAgAABAgQIECBAQCNLBggQIECAAAECBAgQIECAAAECBAgQIECAAAECBKoU0MiqsiwmRYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgoJElAwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAlUKaGRVWRaTIkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQ0MiSAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgSoFNLKqLItJESBAgAABAgQIECBAgAABAgQIECBAgAABAgQIaGTJAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQJUCGllVlsWkCBAgQIAAAQIECPS2wJlnnll22WWX5iTvvffesuyyy/b2CQ/j7K699try1a9+tVx33XXlscceKy+++GJzlAkTJpQFF1xwGEccHbvI1uios7MkQIAAAQIECBAYPQIaWaOn1s6UAAECBAgQIECAQDUCmg1TL8VFF11Utt1224nNq/6jNbKmbidb1fw1NxECBAgQIECAAAECrQhoZLXC6CAECBAgQIAAAQIECGQENBumrrXyyiuXv/zlL2WJJZYoY8eOLauvvnqZY445mp1WW221Muuss2a4R9VY2RpV5XayBAgQIECAAAECo0BAI2sUFNkpEiBAgAABAgQIEKhNQLNh8Ir87W9/K8sss0wz4IQTTih77rlnbeWrej6yVXV5TI4AAQIECBAgQIBAWkAjK01mBwIECBAgQIAAAQIEpldAs2FwwXgm1vrrr98MuPzyy8vb3/726eUeVfvL1qgqt5MlQIAAAQIECBAYBQIaWaOgyE6RAAECBAgQIECAQG0Cmg2DV+Sqq64qm2yySTPgl7/8Zdl4441rK1/V85GtqstjcgQIECBAgAABAgTSAhpZaTI7ECBAgAABAgQIECAwLYEJEyaUo48+uvzkJz8p9913X5l//vnL6173urL77ruX7bbbrkyt2fDcc8+Vn/3sZ81//u///q/cdddd5d///ndZYIEFyoorrli23HLLstdee5VFFllkimlceOGFZZtttmn+/Oyzzy477LDDVKe67777lq997WvlFa94RYlb+sUzqdrYYr5xW8Cf/vSn5Y477ihPP/10WXTRRct6661XPvrRj5Z3vetdU7xM/Pl3v/vdqb78GWec0ew/nO28885r7GO77bbbyiqrrDLFYZZddtmmXrFdcMEF5T3vec8UY97xjnc0tVl33XXL9ddfP+BUfve735VTTjmlacQ98MAD5eWXXy5LLrlk2XTTTctnP/vZEs8Am9Y23GMMpZEV5xgr3eI5ZPPNN1+T080222xaU/JzAgQIECBAgAABAgRmgoBG1kxA95IECBAgQIAAAQIEelkgmiRve9vbyoMPPjjgae6yyy5lww03LPHfsd17770lGih921AaOgsvvHDTJNpggw0meY0XX3yxLLXUUuWhhx4qW2yxRbnssssGpX7hhRfKmDFjyiOPPFLe+c53losvvriVstx8881No2qw848Xee9731t+8IMflLnmmit13tPTyHr00UfLYost1rzeSSedVD75yU9Ocr7R3Olfh8985jPl61//+iRjwuxVr3pV01j83Oc+V8aOHTvJz1966aWy3377NftF82qgbbbZZisnnnhi2W233Qb8+fQeY1qNrMjn5ptvXv7+97+XyNEll1xS3vSmN7VSewchQIAAAQIECBAgQKB9AY2s9k0dkQABAgQIECBAgMCoFXjyySfLGmusUe6///7G4AMf+EDZeeedmwbKnXfe2ax+uummm8o666xTbrzxxmbM5I2snXbaqcRzorbddtumwbD00kuXaH5Eo+XKK68sp59+eolVW7HC6U9/+tPE5kwf+kEHHVSOOuqoMuusszb7xEqggbZohPWtOPrxj3/cNJemd4vVR2uuuWaJFWmzzDJLs3oqVoVFw+TWW28txx57bPn9738/0WbcuHETXzL2jf3C5WMf+1jz53GuYdW3xbksuOCCw57m6quv3swj6tL/teOAsRqs/2qvtdZaq9xyyy2TvFaskItVZbFFAyhWx/Xf9txzz/Ktb32r+aNoVsbxll9++TLPPPM05x0Nrj//+c/Nz8P/3e9+9xTnMr3HmFojK2xjzo8//niz+u6KK64oq6222rA97UiAAAECBAgQIECAwMgLaGSNvLFXIECAAAECBAgQIDBqBPbff//y1a9+tTnfI488shx44IGTnPvzzz/frFa6/PLLJ/755I2su+++u2l+RCNooO2Pf/xjWX/99ZtVQV/4whfK4YcfPsmw2H+llVZqVgQdccQRJRpbA21xC8K4FWE0xKKJNPvss093neLWfXELv9i+853vlF133XWSY/73v/9tGilxy73YBmoGjeQzsvbYY49mNdarX/3qZtVa/y2aZ7Hia+utty4XXXRR4//YY4+VhRZaaOKwr3zlK81KrLgVYzTd4paRfVs0hWKl02DnHn/+7LPPNqvffvGLX5RlllmmuW1kNCnbPMZgjax4zah55CZuURnz7b8CbbqL7wAECBAgQIAAAQIECIyIgEbWiLA6KAECBAgQIECAAIHRJxCrpKJBEg2OeB5WrOYZqBkVt3SLRlU0tWKbvJE1FLl4zlKs7onVX9HYmnyLZzFFsygaWrESbPLtH//4R7NSK26VF8eKlWLTu8WtBGP1WNzeMJ4jdemllw54yL/+9a/NvOK1t9pqqzJ+/PhJxo1kI+ucc85pVmPFNvlzsqImUYtzzz23HHDAAc3/nvw5WTHfOK9YJXbDDTdMMu94xlQ0i973vvdNbOYNBBCv27cKKhqa8ayqvq2NYwzUyIpnYMXKuGgkRjbjGV+RVRsBAgQIECBAgAABAvULaGTVXyMzJECAAAECBAgQINAJgbgdYKyUii1uobfPPvsMOu9YldXXwJlWIysaY//85z+b1Tx9z12KWwEeeuihze0D488nX031wx/+sHzoQx9qXv+aa64pb3nLWyaZS8wvnuUUWzTCoiE2vVv/14xm0Pvf//5BD9nXEIpb7sXtGGOFU982ko2saOD1NXD6PycrbgUZTbhoPMaYWHUVq7P6PycrGnSxOivmGyvvYnVW3xZ/Fs/OiudbnX322U3TaGpbrIKL1V6HHXZYOfjgg5uhbRwjjjN5Iys8P/7xjzcNxshn5G56bs84vTmxPwECBAgQIECAAAECOQGNrJyX0QQIECBAgAABAgQIDCJwyimnlN1337356dVXX13e+ta3Dmr1pS99qRxyyCHNzwdqZEVz6bjjjmtW/zz88MNTNY/GSzyDq/8Wza14BlI0weKWeaeddtokP4/GVTyraaCVRcMtcN+zuWL/v/3tb2WppZYa9FDRwIlGXGyxYixWaPVtI9nIitdYddVVy+233z7Jc7K+973vlY985CMlnqEVzx0766yzmmeb9X9OVjxfKp5ZFtvFF1/c3CKwb/vVr35VNt544zTdpz71qYnP1GrjGDGB/o2saMR985vfbBqgW2yxRTn//POb53XZCBAgQIAAAQIECBDojoBGVndqZaYECBAgQIAAAQIEqhYYO3bsxGdiRaPkta997aDz/fa3v10++clPNj+fvJEVTaf4Wdx6byhb3Kovnrc0+fbpT3+6HH/88WW++eZrmmHzzjtvMyRuibfuuus2/7v/qqShvNbUxsSc47xii0banHPOOaTzv/766yfOJ3YY6UZW3zz7PycrViyF+5577llOOOGEphEXpv2fkxXPPouVWLF6LFbILbDAAhPPL1agbb/99mnCaJZF4ym2No4Rx+nfyOqbUKwAi5z1ZSA9UTsQIECAAAECBAgQIDDTBDSyZhq9FyZAgAABAgQIECDQWwL9G1l33HFHWXnllQc9wcEaWdEAW3PNNZsmVqyyisZJPO9q2WWXLfPPP//EWwiefvrpZdddd22OP9itCf/whz80K4r6mhvRNIktVgGdfPLJZe655y4PPfRQeeUrX9lKIfo3suJZTHPMMceQzn9GN7LGjRtXdtxxx2Zufc/JihVhd911V9NM6rsl4nLLLVeiSdj3nKytt966WYn1hje8odx0002TnFv/Y0Zt+24xOS3YuB3hmDFjmmFtHKOv1rvssktzzHheV9yGMrZtt922xDPCZptttmlNy88JECBAgAABAgQIEKhIQCOromKYCgECBAgQIECAAIEuC/RvTg331oKf//zny9FHH92s+olb3K2yyioDkvStDoofTu0ZW3ErvLgl3kYbbdSsdIqVUq95zWvKE0880TxD6/vf/35r5F25tWA07+K2i7HFirRoUC255JITn48Vq5dii2ZQrG6K2/N97Wtfa56P9a9//avsu+++Jfz7b1dccUXZfPPNmz+K2xTutNNOadc2jhEvOvkzsmKuJ554YjOfaNLFM7w0s9LlsQMBAgQIECBAgACBmSagkTXT6L0wAQIECBAgQIAAgd4S+M1vflM22GCD5qSOPfbYss8++wx6gn2re2JA/0ZU35//z//8T/ntb3876P477LBD+dGPftT8fGqNrL7ndsUt8mLFUax+igZWbD//+c+b1V5tbT/84Q8nHrv/yqaBjh/Pl7rkkkua5zU9+eSTTeOubxvpWwvG68RtH+PZXB/4wAfKu9/97mbefc/H6pvHd7/73fLRj360WdUWK+BiJVZsF154YdP86r89+uijZfHFF2+eRRUr06JBlt3aOEa85uSNrLhFYqzC67vtY5zzD37wg0nMs3M1ngABAgQIECBAgACBGSegkTXjrL0SAQIECBAgQIAAgZ4WiNvpxWqnCRMmlNe//vXld7/7XbPKZ/LtgQceKMsvv3x57rnnmh/1b0RtueWW5bLLLmsaLXGbwYG2WFG0wgorlGeeeWaK/Scf/9RTTzVzevrpp8sXv/jFct1115Urr7yyxG3z7r777gHnN9wiPfjgg2XppZcuL774YonziEbVQFs8f2rFFVcszz//fNlqq63K+PHjJxk2IxpZu+22Wzn11FNLPCcrmlLxv/uej9U3mfvuu6+5pWPUMFabHXHEEWXWWWctjz/+eFlwwQWnOLW4nWD4xrOzomnYt7Ir49nGMSZvZMU5RIMtzvk73/lOM50PfvCDzcqxOB8bAQIECBAgQIAAAQJ1C2hk1V0fsyNAgAABAgQIECDQKYG47Vzchi62uEXgAQccMMn849lXsQLo0ksvnfjn/RtZn/70p8vxxx/fNBiuueaaKZ619J///KfEaqZo9vRtU1uRFWM+9rGPlTPOOKN55tZjjz1WXnrppXLYYYeVgw8+uHXb7bbbrpx33nnNcaOh0vdcrr4XiuZdNK9iNVhs0eyKplf/bUY0svqvHotnhMUtAwdaRRZNoGho9Y1Ze+21mwblQFucS9Qmtg033LD89Kc/HbDhFT+Ppmc0leI5Z3PNNdfEw7VxjIEaWfEC0cyK14ssxPbhD3+4qZFmVut/DRyQAAECBAgQIECAQKsCGlmtcjoYAQIECBAgQIAAgdEtEA2RNdZYo/z9739vIHbcccfykY98pGkixa3soskVz6x64xvfWG666aZmTP9GVPwsnmsVW6z62X///ctb3vKWptkRtxo87rjjyl/+8pfmFobXXnvtFPsPpN//lofx82hcxGvG6qm2tzjv173udc2qtHidaKLFrexe9apXNSvM4nlNt9xyS/Oy22+//cTbI/afx4xoZMWquHguVt8Wq67+8Y9/TLGKKm4tGLcY7Ns++9nPTmxUDmS39957l2984xvNj2K1V9xmMOq38MILN6viYqVWNCjPP//8xihWzM0333yTHGp6jzFYIyteJJqY8eyvs846q3nN+N+nnXZaqyvz2s6U4xEgQIAAAQIECBAY7QIaWaM9Ac6fAAECBAgQIECAQMsCf/7zn8vb3va28vDDDw945GiObLTRRk0TIbbJV1R96UtfKocccsigs4pVX9EsG2z/gXaM5z/deuutzY/e/va3l8svv7zls/5/h7v55pvLu971rhK3Ghxse+9739s8p6n/aqS+sTOikRWvtdJKKzWNpdgmfz5W31z6N4Xiz37yk5+UbbbZZtDzilVPhx9+ePOfWH03tW3eeect8Vysueeee5Jh03uMqTWy4oWimRXN1fCP7eMf/3iJZ6kNdBvMEQuJAxMgQIAAAQIECBAgMGQBjawhUxlIgAABAgQIECBAgMBQBf75z382txa84IILSjwTav755y9rrrlm+cQnPtGs0ppWsyFuMRcre2KFVqzkiRVdsVIrVvhEI2pa+08+z6OOOqp5zlNsZ599dtlhhx2GeirDGvfvf/+7nHDCCU3j54477ihxS8RFFlmkrLfeeiUaefFcqsG2GdXIigZOrEaKbfLnY/XN7a9//WvzPLHYYoVZ3JoxVpdNa4vm5Mknn1x+8YtflHvuuae5deE888xTllpqqRK3J9x8883Ltttu2+RisG24xxhKNuI5ZjvttFMZN25c8/K77757OemkkzSzplVYPydAgAABAgQIECAwEwQ0smYCupckQIAAAQIECBAgQGDGCnzoQx8q8VyoaMI89NBDZc4555yxE/BqBAgQIECAAAECBAgQIDAsAY2sYbHZiQABAgQIECBAgACBrgg88cQTZYkllijPPPNM2Wuvvcrxxx/flambJwECBAgQIECAAAECBEa9gEbWqI8AAAIECBAgQIAAAQK9LdD/mVt/+tOfmudB2QgQIECAAAECBAgQIECgGwIaWd2ok1kSIECAAAECBAgQIDBEgRdeeKHEs53++9//ll/+8pdlv/32a/73u9/97vLTn/50iEcxjAABAgQIECBAgAABAgRqENDIqqEK5kCAAAECBAgQIECAQGsC0cRabrnlJjneK1/5yvLb3/62rLDCCoO+ztNPP13uvffeYc3jta99bZl99tmHtW9mp5hfzDO7xbPBxowZk93NeAIECBAgQIAAAQIECMx0AY2smV4CEyBAgAABAgQIECBAoE2B/o2sxRZbrLz5zW8uRxxxxDRvKXjVVVeVTTbZZFhTiQbTsssuO6x9MzttvPHG5Ve/+lVml2bszjvvXM4888z0fnYgQIAAAQIECBAgQIDAzBbQyJrZFfD6BAgQIECAAAECBAhUIaCRVUUZTIIAAQIECBAgQIAAAQKTCGhkCQQBAgQIECBAgAABAgQIECBAgAABAgQIECBAgECVAhpZVZbFpAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBDSyZIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKBKAY2sKstiUgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAhpZMkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFClgEZWlWUxKQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAY0sGSBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEKhSQCOryrKYFAECBAgQIECAAAECBAgQIECAAAECBAgQIECAgEaWDBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECFQpoJFVZVlMigABAgQIECBAgAABAgQIECBAgAABAgQIECBAQCNLBggQIECAAAECBAgQIECAAAECBAgQIECAAAECBKoU0MiqsiwmRYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgoJElAwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAlUKaGRVWRaTIkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQ0MiSAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgSoFNLKqLItJESBAgAABAgQIECBAgAABAgQIECBAgAABAgQIaGTJAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQJUCGllVlsWkCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIENLJkgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoEoBjawqy2JSBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECGlkyQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUKWARlaVZTEpAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABjSwZIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQqFJAI6vKspgUAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQICARpYMECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIVCmgkVVlWUyKAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBAI0sGCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEzdfIJQAABZFJREFUqhTQyKqyLCZFgAABAgQIECBAgAABAgQIECBAgAABAgQIECCgkSUDBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECVQpoZFVZFpMiQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBDQyJIBAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBKgU0sqosi0kRIECAAAECBAgQIECAAAECBAgQIECAAAECBAhoZMkAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIBAlQIaWVWWxaQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQ0smSAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECgSgGNrCrLYlIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIaWTJAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBQpYBGVpVlMSkCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAGNLBkgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBCoUkAjq8qymBQBAgQIECBAgAABAgQIECBAgAABAgQIECBAgIBGlgwQIECAAAECBAgQIECAAAECBAgQIECAAAECBAhUKaCRVWVZTIoAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQEAjSwYIECBAgAABAgQIECBAgAABAgQIECBAgAABAgSqFNDIqrIsJkWAAAECBAgQIECAAAECBAgQIECAAAECBAgQIKCRJQMECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQJVCmhkVVkWkyJAgAABAgQIECBAgAABAgQIECBAgAABAgQIENDIkgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIEqBTSyqiyLSREgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECGhkyQABAgQIECBAgAABAgQIECBAgAABAgQIECBAgECVAhpZVZbFpAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBDSyZIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQKBKAY2sKstiUgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAhpZMkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIFClgEZWlWUxKQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAY0sGSBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEKhSQCOryrKYFAECBAgQIECAAAECBAgQIECAAAECBAgQIECAgEaWDBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECFQpoJFVZVlMigABAgQIECBAgAABAgQIECBAgAABAgQIECBAQCNLBggQIECAAAECBAgQIECAAAECBAgQIECAAAECBKoU0MiqsiwmRYAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgoJElAwQIECBAgAABAgQIECBAgAABAgQIECBAgAABAlUKaGRVWRaTIkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQ0MiSAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgSoFNLKqLItJESBAgAABAgQIECBAgAABAgQIECBAgAABAgQIaGTJAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAQJUCGllVlsWkCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIENLJkgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAoEoBjawqy2JSBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECGlkyQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgUKWARlaVZTEpAgQIECBAgAABAgQIECBAgAABAgQIECBAgACB/w+hTbCc3p6cNAAAAABJRU5ErkJggg==\" width=\"857\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1175198d0>"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = df.pivot_table(index='day_of_week', columns='tipo de delito', values=[], aggfunc=len)\n",
    "\n",
    "(a.divide(a.sum(0), axis=1) * 100).plot.bar()\n",
    "legend(loc='best')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Zonas de mayor cambio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [],
   "source": [
    "from ipyleaflet import Map, basemaps, basemap_to_tiles, Marker\n",
    "\n",
    "sdf = df[~df.comuna.isnull()].set_index('timestamp')\n",
    "# hack para para agrupar zonas y tener mas eventos\n",
    "sdf['trimmed_lat'] = sdf.latitud.apply(lambda x: round(x, 3))\n",
    "sdf['trimmed_lon'] = sdf.longitud.apply(lambda x: round(x, 3))\n",
    "\n",
    "# periodos a comparar\n",
    "first_half = sdf.loc[:'2018-07-01']\n",
    "second_half = sdf.loc['2018-07-01':]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Obtiene la cantidad de eventos por día para poder comparar rangos de fechas diferentes\n",
    "def get_interesting_places(df):\n",
    "    interesting_places = df.groupby(['trimmed_lat', 'trimmed_lon']).latitud.count().sort_values(ascending=False).rename('cnt')\n",
    "    n_days = (first_half.index.max() - first_half.index.min()).total_seconds() / 60/60/24  \n",
    "    return interesting_places[interesting_places > 20] / n_days"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [],
   "source": [
    "fh_interesting_places = get_interesting_places(first_half)\n",
    "sh_interesting_places = get_interesting_places(second_half)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>trimmed_lat</th>\n",
       "      <th>trimmed_lon</th>\n",
       "      <th>cnt_sh</th>\n",
       "      <th>cnt_fh</th>\n",
       "      <th>diff</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>-34.652</td>\n",
       "      <td>-58.395</td>\n",
       "      <td>0.298343</td>\n",
       "      <td>0.138122</td>\n",
       "      <td>1.160000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>-34.651</td>\n",
       "      <td>-58.397</td>\n",
       "      <td>0.265193</td>\n",
       "      <td>0.138122</td>\n",
       "      <td>0.920000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>-34.605</td>\n",
       "      <td>-58.401</td>\n",
       "      <td>0.243094</td>\n",
       "      <td>0.127072</td>\n",
       "      <td>0.913043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>-34.605</td>\n",
       "      <td>-58.399</td>\n",
       "      <td>0.441989</td>\n",
       "      <td>0.232044</td>\n",
       "      <td>0.904762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>-34.626</td>\n",
       "      <td>-58.472</td>\n",
       "      <td>0.220994</td>\n",
       "      <td>0.116022</td>\n",
       "      <td>0.904762</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    trimmed_lat  trimmed_lon    cnt_sh    cnt_fh      diff\n",
       "26      -34.652      -58.395  0.298343  0.138122  1.160000\n",
       "34      -34.651      -58.397  0.265193  0.138122  0.920000\n",
       "43      -34.605      -58.401  0.243094  0.127072  0.913043\n",
       "10      -34.605      -58.399  0.441989  0.232044  0.904762\n",
       "50      -34.626      -58.472  0.220994  0.116022  0.904762"
      ]
     },
     "execution_count": 203,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diff_df = (\n",
    "    sh_interesting_places.reset_index()\n",
    "                         .merge(\n",
    "                             fh_interesting_places.reset_index(), \n",
    "                             on=['trimmed_lat', 'trimmed_lon'], \n",
    "                             suffixes=('_sh', '_fh')\n",
    "                         )\n",
    ")\n",
    "\n",
    "diff_df['diff'] = (diff_df['cnt_sh'] - diff_df['cnt_fh'])/diff_df['cnt_fh']\n",
    "diff_df.sort_values('diff', ascending=False).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {},
   "outputs": [],
   "source": [
    "from ipyleaflet import Map, Marker, DrawControl\n",
    "\n",
    "# Helper function to plot things on a map\n",
    "def plot_places(df):\n",
    "    points = [(e['trimmed_lat'], e['trimmed_lon']) for e in df.to_dict(orient='records')]\n",
    "    center = list(np.median(points, axis=0))\n",
    "    m = Map(center=center, zoom=12)\n",
    "\n",
    "    for point in points:\n",
    "        marker = Marker(location=point, draggable=False, )\n",
    "        m.add_layer(marker);\n",
    "    return m"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Lugares donde los eventos subieron al menos un 50%"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "417080954dcb4652a5da2f2fc54bc25e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Map(basemap={'url': 'https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png', 'max_zoom': 19, 'attribution': 'Map …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_places(diff_df[diff_df['diff'] > 0.5])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Lugares donde bajo al menos un 10%"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9ae9bc3f8b1342339d83560f71d64833",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Map(basemap={'url': 'https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png', 'max_zoom': 19, 'attribution': 'Map …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_places(diff_df[diff_df['diff'] < -0.1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "g."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}