{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dockside CPF Tests\n",
    "\n",
    "## BluetoothOff, Housing Closed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "%matplotlib notebook\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "plt.style.use('seaborn-deep')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['.ipynb_checkpoints',\n",
       " 'Dockside_CSQ_Tests.ipynb',\n",
       " 'Output-Debug_BluetoothOff_HousingClosed.tsv',\n",
       " 'Output-Debug_BluetoothOff_HousingClosed.txt',\n",
       " 'Output-Debug_BluetoothOff_HousingOpen.tsv',\n",
       " 'Output-Debug_BluetoothOff_HousingOpen.txt',\n",
       " 'Output-Debug_BluetoothOn_HousingClosed.tsv',\n",
       " 'Output-Debug_BluetoothOn_HousingClosed.txt',\n",
       " 'Output-Debug_PreTest.txt',\n",
       " 'test_F_cpf_log.txt',\n",
       " 'ut_rudics_20190312T0901.log']"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted(os.listdir())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "btOff = pd.read_csv('Output-Debug_BluetoothOff_HousingClosed.tsv', \n",
    "                    delimiter='\\t', usecols=[2,39],\n",
    "                    header=None, names=['time','csq'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 719 entries, 0 to 718\n",
      "Data columns (total 2 columns):\n",
      "time    719 non-null object\n",
      "csq     719 non-null object\n",
      "dtypes: object(2)\n",
      "memory usage: 5.7+ KB\n"
     ]
    }
   ],
   "source": [
    "btOff.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "csq = btOff['csq']\n",
    "csq_enc, csq_cat = csq.factorize(sort=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>time</th>\n",
       "      <th>csq</th>\n",
       "      <th>csqenc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>18:30:48.304</td>\n",
       "      <td>+CSQ:0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>18:31:09.882</td>\n",
       "      <td>+CSQ:0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>18:31:18.514</td>\n",
       "      <td>+CSQ:0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>18:31:40.271</td>\n",
       "      <td>+CSQ:0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>18:31:53.038</td>\n",
       "      <td>+CSQ:0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           time       csq  csqenc\n",
       "0  18:30:48.304  +CSQ:0         0\n",
       "1  18:31:09.882  +CSQ:0         0\n",
       "2  18:31:18.514  +CSQ:0         0\n",
       "3  18:31:40.271  +CSQ:0         0\n",
       "4  18:31:53.038  +CSQ:0         0"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "btOff = btOff.assign(csqenc=pd.Series(csq_enc))\n",
    "btOff.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true
   },
   "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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins = np.arange(7)-0.5\n",
    "ax = btOff.hist(column='csqenc', bins=bins, align='mid',\n",
    "                edgecolor='black',linewidth=1)\n",
    "plt.title(\"Bluetooth Off Housing Closed\")\n",
    "plt.xlabel(\"CSQ Values\")\n",
    "plt.ylabel(\"Occurrences\")\n",
    "date_str = f\"Test Start: {btOff.time[0]}\\nTest End: {btOff.time.iloc[-1]} \"\n",
    "plt.text(3,300,date_str);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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": {
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Rmh+2EkCgP1XwHWP35vV64gHNQqA39XPbynSdcTfu2H1TpcBcOBKuHJT9WvVt5jRo8A/A9zxAaTuLk4DIA3OwTGVL5QG1niWgOcOrQ0Yj12ng2oZ9hdkZORZRwGwXsWs0LiG8XeQkf5Dc5tABkDq78sAqM6KCAuATtwUgQiAHUavh6Mex2gxRrtOyiEBYOWi6aB1gwJOSCrtw1UAvP8UGvdWATA0gkAYAJ2fJk36LIOb93wDYLtPC2mpO/RHDwkAn714BR91XqjsRpeAnbiO2Ccu/+IysGh6mBRzv3X9/FDZQqqT0ADA5gNXwmWfABhVCdBwo1EA/LtfDYjjoAUQPwpwbohWoXBaDaTnDnkPMHXGBx7L8PA2ZSBbuoSWh7hp/2UY5LEA1i2fBb6olctyX2G9YyADIPX3ZQBkALR9rzgBgOjvgX4fTjUZAPZvWRLyZjFe4cTouYiXU6Ui6aDNx+ETANFyhBYkbG6mrBCaNnXAcsQWQO8Z6isiV8zPHxoWhPKF0kqn9cR5B2D++tPKbzJLHuZmq+9JE0SDqZwCQBqZKDsHBkDfTyOa8eDvvtWVHH1OtXnrT8H/5skB8N8h7wHmCazr+TD46fsykDWtDQDcdxkwlQ42zCmIqWDCawsvANijaTHIniYWB4FwEIj1Wy0QAbDjzxuUBNO09WtR0meSW+ujD44Cxq/jtp8UtNOV333dtADeuvcEvuizPFwB4LaDV6CfJ22EneVH1y5YKHfsKyBDzJu2nxSACoXTyQFw7gGYv8E3AD5++gIadFus7EsB0AlfTuzTKAC2aZAfKhU15ptMBxoaFsAWg1bCpRvyJeBYMaLCjP7uWAApAE7rWx3iOgiA8zecgolz5QA4Z3AtwATi9bqo+UNHtC0LWdJYTyC/cd8lGDxlp9JXnTKZ4as6DIBuPEKovy8DoKowLwHbmGnhBgCbl4R82dyzAIZnAMRcbmhBwoa5vHC53M3mhAWQAdD7CvnSVABgmwYFlCohsvbr3AOwwA8A0jyRdAnYiXQ+eD5Tlx5RKoGIhgEGtOJH8BgCGQBXwaUbD6X6xo4RFaaHAgD+1ac6xIvtnAVw0cbTMP7fA9qY6BIw5jV8+eq19mEwul05yJgqvuXHxoa9l2DInyoAYtUmTKwfXlsgWwCpuwcm/A9iCyADoJ0bLbwAYJ+vS0CB7MnsDFW6r3g5YYRcu4aFHO9fdOimBRBzuaEFCRuWAxvY6l3XxoEdMwA6L6+v5Vgjy6cT5uyHhZvOKCcls6bSPJEMgPJr12JQ2APg1N7VIH4c50qoYYm5cbP3SwFwFgLgy9fwcXfVMmy3EgiWGhwyVQVAt5PqO3/3effIAOi2ws72zxZAG3o6AYBOJ/6ULQH3/roEFHQTAAumAXS0d6u5CYBYZ7hpvxXKqWMyV0yZ42ZzIn3I9kNXoe9v23xCi5vnH4h9+1qONZJCZfyc/UqNV18AePfBM/isl5onki4Bf00iX+0sw9PktHgMrARCa4PbtQD+NG2XFr2K/buRBkaUapTNDUzNghG6brS2I9fBSU/VI6cBcMmWszB21j4pAM4cWFOprdzQU0FoTIfytup6r99zEYZO3aUcy+2cqm5cB9pnIAMg+nSibye2H78sBkFp2QeQAdDGHRGIACgLAsGyNwWD3LMAlsmfGjp8VtiGkv53dRMAsYQVWpAYAF27fK537AvGxLxp9VE+qF5CXkZt3Ox9sHjzWZ8ASIOEaD5NGvlqBwBpclr/AOh7GdufwKEBgK2GrIIL1+RLwBiZixG6brS2I9bCyYv3lK7/7FUNEsR1zgK4bOtZGDMzGAArFkmr5VPEqObnL15pCeR/6VAe0qWwXgt43e6LMOwvFQDdTqnlxnWgfa7acR5GTg/MUnATib8vA6B61RgAbdwRjgBglezwSVXnMr/LANBqIfmQpBEv2HfzpYJOjYuEtLnl390EwKu3HkGzAStDDQCdqCDBFkDvqeQLxsS8aVk3L9QomVE6/9DKg9YebDKQo0FCNJ0SDXxwEgAxx1wULAniaUb8GP3dWMOn7dJKmOF2blgAWw1ZDReuPZCeRtxY78C0vu4A4Pcj1sIplwBw+bZz8PM/e7UxUQDEsnOYHkjkDx3bsQKkTR7X8vONAmCVYukBcz6G1xbIAEj9fbs3KQo50sXmKGCOArZ+qzkBgFj3EZeBnWqyRNBuAyCW2cJyW2610ALAnBkTweBvS7s1DKVfXylLzByUAdBbLV8wJuZNiw/yQM13M0kl/mXWPljqBwCpiwCNpqd+b3YAkFYnwBP0BYDff1wAKhaRB7L4BcC/dsHa3WoNW7cA8Juhq+H8VV8AGA0wQteN1uantXD6kmoBnNKrKiSMG8Oxw6zcfg5GzQgGQEx1tXLHeaV/BEBMDySyB9i1AOL1Ge6xALqdUssxgXx0FMgAOOHf/bBwo+ruwQCoXkC2ANq4IwISACW1gDHkvUjOFDZGKt9VvGBL5k0JXT4v6nj/okM3AfDyzYfQfOAq5VA5MiSCId+FAwA8fBX6TmIfQDE/qA8ahTExbzCqEqMrZW3MzL2wbOs55ScZyFELMQ2m8nVMszfBWwA45D2IEiWy1o2RVDb+jolg4TYAfjt0NZzzAYAYmYsRum601sPXwJnL91UA7FkVEsZzDgApyGD/mOx+xXYVAHFJ+8nTl1rwmF0fwLW7LsDwabuVvt3OqODGdaB9BjIAUn/fbk2KQk62ADIA2rkhwgsAor9D0VzuAWCJPCmh6xfhFABvPITmgxgA7dwHYb0v9UGTAWCzOrmhdpnM0tPEZT5c7vMFgFjiDH0MsVFfWgbAYDnDCgC/G7YGzl5RAfCPnlUhkYMAiOXzMIeiaF4A2Lc6PH76Uonox2YXANfsugA/eQDQ7YwKbt+rgQyA1N+XAVCdCWwBtHFHOAGAWAUEq4E41Wh5JNEnmruL5U7p1CG0foR1onjuFNCtSTHH+xcdumkBxPxluJyHLSh9Qhjauoxr48COfZUtM3PQHYevQh+2AGqSUR80GQBiZQWssCBro2fs0Sw7MgsgnR/UlcIXdJq5jgq4LDoMs1arBeqxYZWJqA5aAIdN3QXr9ri7BExBTD/++HGiwdTe7lgA6XF/71EFEsePaVZ+n9tTqxxuRAEQl7QfPXmh+Q6PaV8e0qe0HgRCYbNMgdTQoZF7AXWOCeSjo0AGwLGz98EST8AXGixypWcfQAZAG3dEIAIgzY4vhoZfO8VdBMBiuVJA9y/DJwCi8zoCBLbs6RPCMAZAG3dE2OxKfdBkANikVi74sHwWSwBI5we1pPuCTrMK0Pqk/gGwoLI8aLaFNQAmiBMd/uxdzexpG9qeXnfHAZD45ekBEFPOIACKlQO7eQBp6hS3A+oMCWtjo5Xbz8OoGYEZBUz9fRkA1YvMAGhjsocXAHQj8g9lE5a5IjmTQ4+mxW0o6X9XNy2AXgCYLiEMaxP4FsCdR65B7/9tVUSzE4Dg2gUL5Y6pJUgGgF/UzAl1K2SVntXI6bu19B4yLc9dvQ/fDl2j7Es/pHxBp9mh6wFwzuD34J2oMh/AwAVA6ounHz+mZsEULW40CuGTf6wCSRI4ZwGkuflkAPjg8XNoOVj9cLQLgNRqVipvKuj8uXsBdW5cB9pnIAMg9ffFd2Ku9HE4CpijgK3fEk4AYIPK2aBRtRzWT0K3J02OKn7q8nkRKJk3lWPHEB0JMCucIzng8phbzU0APH/1PnzjecFnS5cAhrcp69YwlH6/6LMMbt17agveGAC9L1FIANi4Rg6oVzGb9LrSWrkyADxz+R60Hr5W2ZfeR+EFAIdO3Qnr91zSxu7Gx2Cb4Wvh9GU1GlffEsaNDlNcA8Dg/IO/da8CSRM6B4C0Pq8eABFo7z96pj037JaCo9Dktj+1qw83AGAAdFthZ/tnC6ANPR0BwErZoFF1BwGQJEcVQ8MvSvyydLoJMMMk0+gg71ar3X4evHmj9u60xevclfvw7TDVwhMaAPh572WAyYXtjIUB0HumUQuUzAL4WfUcUL+SNQDENCOYbgQbpjrClEfYaOCDnTk5ecEhmLP2pDagOYNrwTtRo2j/FvfYDw0LQvlC5peAh/65E9bvdRkASToW/TMgUbzo8EdPdyyANBWP0wC4ad9lGDRlhzYcmgYGI46xRKB4bjgJgG6707j1jBb9BjIAUn9f/JjLnYEtgAyANu6I8AKAHT8rDKXzp7YxUvmuGgBmTwZYbs6tVqfDfHj9WiVAOy9b2flhFCFakLBlTZsAfvreXQsgA6Dzs4Tmg5MBYKNqQdCgcnbpgWmlDNncwlJjaFXH1rFRYShdQL2PfFkdzY7OKAC2a1gQyjEAeslL8z9O6l4ZkiWMZVZ+n9tv3n8ZBv4RDIDof4nBGtgw4vjew2eaZdg+AAbnHHTbncYxgXx0xADotsLO9s8AaENPJwAQLRNooXCq0ez4os/2nxaCsgXTOHUIrR8BgPmzJYW+zUs63r/o8P0O8+GVSwBIl/iypE0AI1wHwKVw+/4zWzBLLYDzh9WGSJGCK0e4dhECuGM652UA6K/eNs2TJwPA4+fvQLtR65XRY73rcp77yCkA/G3BIfiXWABnD6oF0d5RLYBv3ryB2u3nq8e2CIBD/twJG1y2AMqeOWK6YGoWBCY3Gq0AM6lbZUiWyDkA3HrwCvSfvF07bUzPsnaXGk2NASd3HjyDtiPUD4NRP5SDTKnjWx7iim3nYLSn6kihoGTQy8XVFMsnaXDHQAbAUdP3aMm8cVUsD1sAOQjE4LyWbhaIAEitIeKkrb48QtJGAGC+rEmgX4tSIW1u+fcPOs6Hl6/csQDSJb4saeLDiLblLJ+nkR0/7+0sAM4bWhsik9JhRs7hv7YNrQkrA0B/1XZolKwMAI+euw0dRm9QJKPLsL6Wnc1qO2n+QZi7Ti1Qj40CIH704MePAoAEPs0cIzQAkOqvP7fE8WPA7z3cAcCvB6yEK7ceKYf8X7fKkNxFAMT0LMKXEgNO7jx4Cj+MVD8MRrYtC5nTJDBzWby2pWXnCrq8mmL5JA3uSCuoOL1aY/AUfG5G/X0ZAFWZ2AJoY1aFFwBs+0kBqFDYfBmpkKQRAJg3SxLo39I9APyw0wJ48fK1cjpOP1ROXbwL33u+5DOniQ8jwwEA7jp6DXpNVKOA9aXDQrpm/8XfaeojGQD6C7SiQRKyuXX4zC3oNGajIhstx0YDH+zMST0AzhpUC6J7LICvXr2G9zsuCHwAHLkOcKlc1pLEjwGTXQLAZgNWwNVbj5XDTuxaCVIkju3Y9NZbANH3E/0CsaG/4e37T6C958PALgBiJRqMUMWWP2tS6NvCvdUUxwTy0VG4AcDGRSBPRvYBZAC0cUc4AYD1KmaFxjVy2jgL711lEXltGuSHSkXTO3YM0ZEAwDyZk8CAVu4BYN1OC+C5SwB48uJdbSkHl3FwOcfN1rjXUmX5yA7MegGgrnSYm+ceqH3T5OcyAPTnZkEtZDKQO3jqJnQZu0kZeuv6+aFyMfU+cgsAZw6sCTGiRVWO8fLVa/jAJgAOnrIDNnrABft0IwpYlnlAzBU3AfCr/ivg2m13AHDLgSsw4PfgJWCMzsW/YUN/w1t3n0LHMapleETbspDFhgVw2dazMGbmPqUvtz+m3b6HA3kJmPr7dmpcGPJmjMtpYDgNjPVbIhABUJaT67v6+aGK58VlfbRv7ykAMFemxDDom3ed7Nqrr7qdF8LzF69sQZOvkztx4Y62lJMpVXwY1S7wAXD30evQc+IWZUj6yhGuXYQA7rg9qX8tA0B/H1kUkGQAeODkTeg6TgXAb+vlh6rFPQBIIl/tWAD/N+8gzFsfvARMAfDFy1fwYaeFyrGt+vGGBgDKks9rAJggJuCSqRutab/lcP3OE6XrX7tUgpRJnLMAbjlwGQb8HhwEgtG52w5dVY6Fy8037z6Bzr+olmH0G0b/Yatt6ZazgEmKseXOnBgGtnLvWWr1HI3uF8gWQOrvywCoXlG2ABqd2ZLtwgsAfvNRPqhWIoONkRNXjYsAACAASURBVMp3FQCYM2MiGPxtacf7Fx3W67IQnj53BwCpk3/GVPFgdLvyro0DO3bCAkgBUJ842NWTD9DOO4xeD0fP3VHOTgaAdctngS9q5ZKePab6EEt7MpDbd/wGdJ+wWdm31Uf5oLrnPvIVeGJWorcAcEBNiBFdtQDiRw9+/GALZACUlZ8UOmBuPlwydaN92W853PAA4IQuFSFVkjiOHUYPgJjrFIOvsOFy8427T6CrxzJsFwCXbDkLYz0A6Paz1DGBfHQUyABI/X0xM0a+TGwBZAC0cUcEIgDK6nK2qpsXqpfMaGOk/gEwR4ZEMOQ79wCwfteF8OTZfwMAP+u1FO7aXAJmAPSejx1/3gBHzt72CYAflssCTd6TA+DAP7bD5v3q0p4MAPccuw49flWtrS3r5oUanvvIKQCcOO8AzF9/WhvQTAKAz168go9sAiAFXDyIG0vAYQWATfouVyxx2JwGQH0aGAzO2H3sugaA1+88hm7j1A+Dn74vA1nTJrT8fKUA6Paz1PJJGtwxkAGQ+vsyAKoXlAHQ4MSWbeYEAH5UISt8XtM5H0AZALb4IA/UfDeTjZH6B8Cg9AlhqIs1dOt3XQRPnr30+ZK2M7Bj525rztwZUsZTyjq52T7ruRTuPrTnA+gNgN6Jg90890DtOyQAfL9sZmhaO7f09NHPS/h2yQCQ+ls2/yAP1PLcR74ij81qNHHuAZi/IRgA/xlQE2J6LIBPn7+Eel0WKV12aFQIyhQwn8pp0B87YNN+NXjBLQCkS/D68SdLGBMmuWQBbNJnGdz0VNWZ0LkipErqnAUQNUPtRMNMB/tO3FT+icvN124/gh8nqB8Gw9uUgWzpbADg5jMwdvZ+pa/soVCO0uwcNbN9QAMgSYqOOT3zZWYLIAOgmdmt2za8AGCz93ND7dKZbYzUPwC6/dD6uNsiePTUHQA8evY2dPhZdeYOjwBI04Y4foHDSYfoi3Xo9C3lbGVLwLXLZIJmdfJYAsAdh69Cn0nblH2b1ckNtcuo9xENfLDjA+gPAPGjBz9+sNEk1GYuS6gA4Oj1cMyzBP8WACaKBZijz41Gk6qP71wRUrsIgOibd/CUOscQNjH6WPjh2gXAxZvPwDgPAIZGLlI3roXoM5ABkPrDMgCqV4wB0MbdYBYAaWJXcVinLYC0RJU4xld1ckMdz4vLxnDf2lX4ALpdQePj7ovh0ZMXb73gnRjLkTO3tWi+9CniwpgOFZzo1mcfjlgAj12Hnp5lSZo2xNUTD+DOQwLA90pngq/flwNgv9+2ac79MpDbfugq9P1NBUC0IqI1EZuv1DNmZfp17gFYQCyAM/rXgFgx3lG6efz0BTTotjjgAZD6YOrHj7n5MGjCjUZzao7rVAHSJIvr2GH0peDQN+/wGdXNAGHzys1H0Pt/aiomuwC4aNMZGD9HtQCGRioqx0SSdBTIAEjdIdCinj9zPI4C5ihg67eDWQDEcmZY1ow2fw7qVs6MFqkX+3/5Xi74oFwWK9353UcAoNtfrZ90XwwPXQJAmuctXYq48IvLANio5xK49/C5oqtVyxH6IgkApFGjjl/gcNJhl7EbNeuMzAJYq1RGaP5hXuloQgJAmg6kSa1c8GF59T5yCgAn/LsfFm48o52b0wBIfRzxIG74ANIleL3IKRLHgold3QFAGlA1tmMFSJvcOQDcuO8SDJ6yUxsOurmIQCOEzcs3H0Ffj2V4WOvSkD19Ist3y6KNp2H8vweU/UMjEM3yiRrYkVY1sfp8M3AYS5tQazgDoCohWwAtTSV1p/ACgF/UzAl1K2S1MVL5rgIA3f5qbfjjEnjw2B40+Ro8Lh2KdA74AsEXiZvNCQCkgQk0aMDN8w7kvruN2wT7T6r+WeKlQ63tNUpmgJZ180mHgC/x7YfV9B6yFxb1BUNfXbTYY/OVe9CsTv4AED968OMHm9V63mENgCkTx4Zfu1YyK4uh7ak13W0AxFWOE55k13isSzceaqXi7ALgwo2nYYIHAENjFcKQuBY3CmQApP6+GFVfIAtbABkALU50KwBISzuJwzptAWw1ZDVcuPbAa1SNa+SAehWz2RipfwB0O3/epz2WwP1H7gAgTfSbNnkcGNuxouM60Q6dBkAaNODqiQdw5yEBIKZuwRQusobLeCK9h6yuMrUE0fvIV+5BszJNmLMfFm6SWwAfPn4On/y4hAHQh6j0XvqlQ3lIlyKeWfl9bo/1kzFJuGj4kXvq4j3ln3gsBECRJ3Bo69IQZMMCiC4A6AqALTQ+Qh0TSdIRA6Cb6jrfNwOgDU3NWgBDBwBXwYVrD71G1ah6EDSolN3GSP0DoNvBE05Ak6/BHzh1U8vnlSZZHBjXyV0AdAJm9x6/rkUg0iVDxy9wOOmw+/hNWoSmsOJRdwtM3oxJnEMCQFld5fV7LsLQqbuUXRtVC4IGldX7qD0JfLCz1IW+X+gDJtr0fjUgdkzVBxCt3mj9xmbVAkitHtiPG0vAncZs0Pzj9BpjcmaMmnWj0XtpTIfykN5JANxzCYZMDQZAfMadvXJfGQYe6+K1h4A+ZdiGflcagjJYXwKev+EUTJx7UOkLA1nQxzC8tkAGwP6Tt8HWg6q1H2trF2QLIC8B27nRTAMgqe0pjuu8BfBtAGxYNQg+qeIeALq9bOFE7jxf13n/yRtaPq/QePgyANq54+T7/jhhM+w9fkP5UUAcBcDKRdNB6wYFpDv3mrgFdh1V87vNlZTVW7vrAgyftlv5vWGV7PBJ1SDlv30lnzY7On8AeO/hM2jUc6nSJVYueDdfarPdK+XMRJobtwCQBuHoTzBVktgwwSUAbPjjYnjwWA0OG9O+PKRP6aAFUAeA6B98/qq6soKpoi5cfaABom0AXH8KJs5TAdBNYDY9eSzsEMgASP19GQDVi8sWQAuTXOxiFgBpbU/Rh78ktVZOreXgVXDxurcFEOEPIdDpJnwA3V62cKJ6hq+x7ztxA7qPVxO6hgYAOuHPyBZA76vZY8Jm2OMBQAFx1NpeqUg6aPOxHAAxmEYk+JWV1Vu98wKM+FsFwI8rZ4dPq6n3ka/cg2bvsXGz98HizWe13f7uVwPieCyA/wUATJ00Nozv7I4FkAaHOQ2A1PIrng247IttdLtyCgwO+0u1DA/5tjTkyGjDAkgA0M2gGbNz08r2gQyA1N+3XcOCUDBrfI4C5ihgK9Nc3ccJAMToXIzSdaq1GLRK8U+hrUGlbNCoeg6nDqH1EwyA7vrO0XQPdpbbZALQUl9uvqzEsanVwupYKADSJUPHL3A46ZBC3JzBamJsCoAVCqeFtp8UlI6GwqOsrB4tbl+/Ujb4zHMfOQWAY2fvgyU+ABArxqD1G5tVCyBd9sJ+3FgCplHYepHd/Kii6aHQKofLtE61dbsvaoCHfWIwy5VbjzQAxOXgnzyW4cHfvgs5Mya2fGisBY0lAbG5mTjb8gma2HH5tnPw8z97lT2sPt9MHM7Upn0mbYUdh9VyfgyAqnRsATQ1hbw3NguAL16+hg87LfDqJDQAsF7FrNC4hnPVRsQABAC6+ZDHY9GEr04/VGhErZvLVU4CIIVWajGyMZXD9a6YkBero2ATeRFfEXeL8oXSwA8NC0nHSJePZUm1qUWD3keuAWDf6hAnVjTlXO/cfwqNey9T/tuqD2BoACDWxEVfWllz06+2QbdF8NiTIB6tchlTxXdsHusBMFmiWHD99mOl/5Fty8K5q/dhxN97lH/bBcC5607BpPkqACZJEBMm/+hO7WTHxPHTUSADIA34+qFhQSjEFkAGQDs3hXkAfAUfdlKLu4vmPACuhEs31C9V0Zz2MxT9BgOge8s8eCxa8slpAKQ59ULD/8YJC6AXABJgsDOXw/O+9MEuoqIpAJYrmEZx+pa1H8dvhr0nVP9BWVLtZVvPwpiZ+5Tf6X1EAx/szMmxs/YB1oIV7W9yPW/ff6p8/GCzWgnkvwyAtESk0wC4dvdFGO5Z4lXALH4MrezciLZl4ezlezBqhmrpGvTNu5Ark3UL4Nx1J2HS/ENKX4nixYA/elYNt7djIAMg9fdlAFSnGFsAbdxqTgCgvzqlVk6t+cCVSpJS2pyGTD0Aug1OtOi7nZetTE9aV9fNnGXi2E4ktaZ+i9P6Voe4HouRlfnyX9iHAqBYEqf+tmUKpIYOjQpLh0pTyMiSai8hdVrpveqr+ohZPX+ZtQ+WEgCk1/PWvSfwRZ/lSpdWawFTx3fsx40lYKqhfvxuplaq33UhPHn2SjnkqB/KQabUzlkAafCPCmbR4fZ9tYb3iO/LwqlL92DMTGcA8N+1J+G3BSoAJogbHf7sVc3sNAqY7QMZAOlKAbqEFM7GPoAMgDZuHbMA+PzFK6jb2dsCGBoA6PQx9ADotuPyl/2Ww407T5TDOg2AmANOlHRyexx4/k4D4F99qkO82OqSYURt1LdHWNAoAJbOn1pZQpU1Ci+ynIq0TBeWU8SyithCAwBv3n0C+PGDDRPXli2YxvQlDnsAdC+5+kddFsKz5yoA4rJs5jQJTOvjawc9ACaIEx3uPlQBEEu/nb50DxDesdm1AM5ZcxImL1QBMH6caDC1d3XHxhHaHQUyAFJ/XwZAdWYwANq4Q8wC4LMXr+AjlwHw64ErlTqVtNUunQma+aiFamP4IJaA0T/GrYLveH5N+6/Q/G/cBEA365YKnZ0AQJq6ZmrvahA/TnQ7lzHc70shR+hB/W1L5UsFnRsXkY6T+q/JcirSJL20prCv8nNmxUQr0rKt57TdKNDjRw9+/GDDJWxcyjbbQgMAaR5G/fm5WV4RP6bxoxobLstmcRAA1+y6oAV5YP9xY72jpZxBADx58S6Mm63W7x3YqhTkzpzE7KXRtp+z5gRMXnhY+TceZ1rfGpb7CusdAxkAqb9v208KQOFsCTgKmKOArd8yAQmAA1Zq0WpiZP5qoVofPWgAmDRhTPitu3uOy1/1XwHXPA7YsmoNdsaw4/BV6OOp6ek2yOJ50shFqzDLAOh9xSnkTOlVFRLGjQEvXgb725bMmxK6fF5UOk2oJU8GgDRCs2apjNDCU1PYLQCkQH/9zmNo2m+FCoANC0K5QmlNT/X/NAB2WgDPX75WAfD7soA1yZ1qNP0P9hk7RlR45Ak4wdJvWBZOlG8b0KoU5LEBgLNXn4DfF6kAiMeZ3r+mU8MI9X4CGgCJv+/3HxeAItkZANkCaOMWMQuAT5+/hHpdFnkdkS4r2TgVbdevJQDorxaqnWMKCyA6SE/u4Z7jcrMBK+DqLTUCb+7Q2hAlciQ7p+217/ZDV6Hvb9uUv4UKAHZbpL1IGACduYx0CRgd6NGRngJgiTwpoesXIQOgLKKaOuhXL5kBWnlqClPLodXriKPXWwApAOJHD3782AFAmvsM+3HDB5AG0uivqJtJ4j/ouABwqT80ADBGtCjw1LPcjImfj1+4o1XvcBIAY0aPCuiKEF5bIAMgdfdgAFRnGAOgjTvNNAA+ewn1uroLgBSWxNCqlcgA3/iohWpj+JoFMHH8GPC7iwBIl7VlyXrtjGHbwSvQb/J2FQATxoRJLloy8RgfOwCANAgEHcbRcTwiNxoEgik0MJUG9bctlisFdP+ymFQiGs1LI3DFxnR5jpaUk9UftnINMGcavjRFowB49dYjaDZgpfITRi2Wt2AB1ANgl8+LQMm8qaycqs996NKafiM3y0R+0HE+vHz1RjnkT9+XgaxpEzo2rtU7z2tpXrDTd6JGBnQrwIaJn4+dv6OlbhnQshTkyWJ9CXjW6hPwh8cCGD1aFJg1sJZj4wjtjsILALZpUACKBrEFkAHQxh3iBADWLpMJmtXJY+MsvHely6XilyrF0sN39eW1UO0cWFgAMULuj57uRa7RyGZZrjY7Y9h68Ar09wCg20vZeJ40d5lVyxEFQLHkaUeD8L4vBUD0RUVLLgXAIjmTQ4+mxaXDpPn8ZBHVM1cdhymLjyj70pJyTgHg6Bl7YMX28yECIDqtY0Jrs41aR3Hfzp8XgVL/EQB8v8N8JeE3NvTLy5bOOQBcteM8jJyu5vnDhqsO4liY9+/o2Tta4Eb/liUhb5akZi+Ntj2dYwiamJA8vDb0ZxXR0Vafb26NnVrtGQBVlRkAbcw2swD45NlLwNxVtIUGAPqrhWpj+JoF0O3UBS0GBec2lKXqsDOGLQcuw4Df1aLuoZGE1REAPH4Duk9Qy9dN6VkVEsaLYUeCcL8vTe8wsWslSJE4NtCAq8I5kkPPr+QASGv6ygJq/ll5HP5cogIgLSnnFgBSi+7lmw+h+cBVyrHRab1C4XSmr9VbANi4CGBQjJONRlfq+3XTAlin/Tzw8J/rAEjHhVG/R8/e1vz2nATAqFEiwb9Dajt5eUK1LwqATvtr2x0I9fdt0yA/FA1KyEEgHARifVqZBcDHT19Ag26LXQVAGjErDuSvFJb10QcHgWCKhD97u2cBpPWNZY76dsawef9lGPiHBwBd9mXE83QaAIXPmx0Nwvu+tBTchC4VIVWSOF4AWDAoGfRuVkI6zPaj18Oxc3eU32QAOH3FMfhr6VHld3of0chXO5YOvQXQCwBvPITmg1QARJ+likXsA6DVknL+5gjVX79dxlTxYHS78q5Msdrt58Eb1QAIGJiRPb31erz6E6QlAPW/YdTvkbO3NctwvxYlIV9W6xZA+pGB7s3zhtVxRa/Q6JQBMDRUdu4YbAG0oWV4AUB/pbBsDF+zAGIeOkxf4VZrNWQVXLim1jd2uvTZpv2XYZAHAN32ZXQKAGkt4N97VIHE8WO6JX246JdaoMZ3rghYmpAGXBXIlhT6NC8pHUu7Uevg+Pm7ym8yf8q/lx2FacuPKb+XK5QG2nlKytHABycBkC7pY01vrO2NDZesKhW1D4BWS8r5BUBSik+/XaZU8WFUu3KuzCPhgoKdD21dGoJCCQAx6OPwmVswdYn6YWAXAGesPKb1hf3ZmU+uCG2iUwqA84bWhsgOBuyZOA3pptTft3X9/FAsB1sAGQBtzCpHANDhHH1N+y2H656kyWJoZQukgfaN5KWwbAxfA0C3c1e1GrIaLlx7oJyq05UvNu27DIOmqBbA0CjDRMtXWX3QMwB6z1oahDC2YwVImzyuFwDmz5oU+raQA2DbEWvh5MV7Socyf8qpS4/AjBXHld9pRRGnAHDU9D2wckewDyA9h4vXH0DLwas9AJgfKhVNb/p2pf6RuLPVknL+DkxLbL0FgKnjK1U6nG5v3ryB2u3na91iZG5QBictgOe0Um/6c8egj4Onb8G0ZR4AbF4S8mWzbgGcseIYTPVYmfFYgQZOZq5dIAMg9fdlAFSvKgOgmdmt29YsAD568kLJA0eb00maadUMcRx/lRBsDF8DwNgx3wEsweVW+2boajh/VQVApxMfb9h7CYb8udMDgO4Gs+BBnADAPceuQ49ftyjnLKJe3dI+PPRLl2PHtC8P6VPGg6ck4j5vliTQv2Up6VDaDF8Lpy+rAChbTp+y+DDMXHVC+f3dfKmgkyehNIVOqyCPfY6cvhtW7bignRv16cSPHvz4wYYvrMrF7AOg1ZJy/uaBHjLptpnTxIeRbZ0HwNev30CdDsEAiJG5OTI6B4Artp2D0f+opd70DS1+B0/dAnQPwNa3eQnIny2Z5VuFuhlgJ05nOrB8YhZ2pADodMouC6fjtQv198WgyOJsAWQAtDOpnABAWl3AzrmIfWUA6K8Sgp1jiiWYWDGiwgwXk5dSAHQ66GHDnkswZGpoAmBw/VKr4MAA6D1raUDG6HblIGOq+F4AiEl6cdlO1r4btgbOXrmv/CRbTsf0HJimAxtGz2IULTa67Gz1OmI//gDw/NX78M3QNQyAkguHEbkYBSxaqAJg85Jw4NRNmLFStQw7DYBzBteCd6JGsfNoDrN9AxkAqb8vA6A6RdgCaONWMQuAD5+8UGrB0lbr3YzQ/IO8Ns7Ce1esHYo1RGnzlwjXzoEFALqdvJQuATvt87Z+z0UYOnWXIkPCuNFhisuF2Ot1WagllLUKDruPXQd0vMeGFVgwfU1EbhQARU1YGnGfK1NipV6rrNGPC9ncmrzgEMxZe1LZld5HNPDB6nXEPkf8vRuw6oRo1Ap57up9+NYDgPjCwnROZpt+edZqTWF/x/VnAcySJj6McMEC+OrVa3i/4wLttDA1S86Mic3K43N7ms9OvxEC3/6TNzXLcJ+vS0CB7NYtgH8vP6YtJ+OxnM504JgoBjryAsAh70GUKJEN7BU6m7QftV7J34jt23r5oURO9gFkALQx90wD4OPn8MmPS7yO6DgA9lkGN+899TqGv0S4NoavLQFjlvyZLiYvpVHATgPP2t0XYfhfKgC6nc4Gj+E0AE7qXhmSJYxl5zKG+31pWTaREJgCYI4MiWDId6Wl4wxpbk2afxDmrjul7EvvI5p6xi0ARMskWijFCwsTUZttegC0WlPY33H1qWbotlieDcu0Od1orWfsGwEfQd+pRkFG32fvr0vA/hM3YPYa9cMA/13QDgCSQCPsz+lMB05pYqSfZVvPwpiZ+5RN5wYYAP4wcp1Swk/cTwyAbAE0Mqd9bhNeALBozhTwY1N5JQQ7AggLYLR3ogAmaHarYSQkRkRiE4l+nTrW2l0XYPi03Up3bqezwWM4AoBHrwMCiBt6OKVraPZD83uJhMA05VJQ+oQwtHUZ6SnRHJMymJ447wDMX39a2ZcmlKZg5SQAUivkmcv3oPXwtZ4XVj6oWjyDaVnfAkCLNYX9HVhfbYRumzVtAvjJFQAMrvWMxwtVAGxWAvaeuAH/eizDdgEQg0nQCiga+lOjX3V4bBQAA82Xse3IdXBSA8B8UCJnIs4DyHkArd9mZgHwwePn0FBvASyVEZp7CsxbP5PgPb/oswxu6SyA/hLh2jmmBoBRI8NsF7PX05e0SPRr57zpvmt2XYCfPAAYP040mNrbvXQ2eNyPuiyEZ56aolbBYTcBwP91qwzJE0VsCyAFQBENSgEwe7qEMKyNHABp7WzZx8WEf/fDwo1nlClTKCgZ9PLkE3QKAH+atgvW7LqoTUlfAIilHLGko9lGLZW4r9WScv6O2++3bbDt0FXpJtnSJYDhbZy3ANJKL3hgzM2XO7P1cmz6k6cgo/+tV7PisOfYDZi3XrUMY45JzDVptWGeSRFQgn04nenA6nlZ2S+gAZBE/H9bjwEQry8vAVuZ5Z59zALg/UfP4dMeuiVghwHw897L4PZ97yVgf4lwrQ6fpmGIGiWyErnmVqO1gCd0rgipksZx7FC05qfb+QydAsBdR69Br4lbFQ2cBmLHhA3Fjmh6B+ELRgHQnxWKlk6UaTlu9j5YvPmsMhqaT5D6vVkFeexz+LRdsNYHAJ66eBe+H7FOOXarj/JBdQcA0GpJOasA6A++7UwRmucR+8EgHwz2caot3XIWfpmlLmXqG1aVwUCs+RtUyzACYaGg5JYPTVMNYSdOZzqwfGIWdqQAiCXtsLRdoLQ2P62F05fUiH/8oCqZiy2ADIA2Zmd4AcD82ZJCXx+JcK0On6ZhwDqZGPLvVqNWmnGdKkCaZHEdOxSt+Rk3VjTl69vN5oQFkAHQ+wpRABSWIAqA/gIRaNS8DADHztoHS7aoAEjzCYYGAJ68eBfaCgCsmxeql8xoemrqLYBWS8oFHACSND8KALYsBXmyhA4A9mhaDNAKv3CTahm2DYBLjmgRxdhfeK7vHdAASFI+MQCqdzQDoOlHavAOZgHw3sNn0KjnUq8j1iyVEVo4uAT8ee+lcPv+M69j+MuDZnX4NA2D2+WLmg1YAVdvPVZO9ZcO5SFdinhWT/ut/WjJJ7cTWuPB63ZeCLh8hc2q5WjnkWuAAILt1y6VIGWS2I7pER47ovm9RF1WmnMzk59kxNRlQqYlFrbHgABs9D6igQ9WryP2iQFIGIgkGs3riP5K6LeErWXdvFDDCgD+ugUwalw0qyXl/M2L/pO3wdaD8iXg7OkTwjAf/pd25pq+rrrderz6c0HoR/iXNfSnxntwiccyjBZBdLOx2rDWNJaDE83pTAdWz8vKft4AGFjpbFoPXwNnLqspn9CiXootgAyAVia52McJAKxRMgO0rJvPzml47du411K488AbAP3lQbN6YH0eLjsvwZDOgdY3Fol+Q9rH6O804WuoAGCnBfD85Wvl9KxqxgDofXVpeod+nqoMFAD91aOlH0wy9wJaqzd35sQwsJWaTsYpABw2dRes2yMHwOPn70C7UettASDNV4gduQGAA37fDlsOXJHecv4CcIzeo7Lt9HXVHQfAzWdg7Oz90lPs3qQo7Dx6HXCZGJvTABiek7vTpfNAy2dIc34yAKpTmy2Anlt84MCB0LVrV2jTpg2MHDnS0LMpvACgvzxohgYq2Uifh8sqzBg5Pi1vJxL9GtnPyDY031ecmO8otYbdbHUdBsAJXSpCqiTO+US6OXa3+qb1fEVEJs25mSFlPPi5fXnp4T/ruRTuPlQ/mEQdYbohTdScM2MiGPytmk6GRr7amft6AKRpjigA4ioBrhaYbXoAtFpT2N9x/QGgvxQ8ZsdCt9dXVbJbj1d/Lkv8AGC3JkVhx+FrgM8OJwCQVpvB/pzOdGBHZ7P7UgDEzBCYISJQ2rdDV8M5T0WpVnXzQqnciTkKmKOAAXbs2AH169eHePHiQfny5V0DwLsPnsFnvbyXgKuXzACtHLQAYv94HNrceAi/fPUaPiCJWO28BEN6QFA/rRFty0KWNAlC2sXw7zTfl9sl7fCkPuy0ADCHGTarmlELoNNBMYaFC6ANaX4vYY15SHJupksRF37pUEF6xhiVj9H52GT+pTRKl1qzaOSr1euIxxw6dSes33NJOzeaiubYudvQfvQG5bcWH+SBmu9mMq06LVmHO7dpYK2mcKABoD6pvrD8mhbIxw6LN5+BcT4sgF2/KArbD13VajijT2CRnCksH1oPgOE5sIsuAQcaANKk7+hS8S4DIFsAHz58UFv0tgAAIABJREFUCAULFoSxY8dCv379IH/+/OEbAIlFQzyR3PDD0SditfMSDOnJ2YQktxaJfkPax+jv9Is1doyoMN3FknZOAeCOw1ehz6RtyhBlViujY/+vbNeWpHcQL2MKgGmTx4GxHStKh4uVeRAmsI3tWAHSJvcOMKI+ejSi1TEA/HMnrN8rB8CjZ29Dh59VAGz+QR6o5QAAWq0p7G+uDPxjO2zeL18CduPjE89Fn1LLbjk2/fgWbToD4+fIl4C7fF5ESXsjKrigTyDmWrXaaLlB7CM8W/Xp83TWoFoQPYAsgK2GrIIL19R8sgyA6myN8EvAn3/+OSRKlAhGjBgB5cqVcxQAsSQblp4pkTslRI4cCe48eAqNey3zek6giRz9crDOKEb9HTt3B4rnTmm5vBdd0hIHEmkwrtx8BFhftGiuFIBRvOi4jctaCePFkD670Mq39eAVJcN+wrje27x46Z2ItXPjIlA8T0rAiGCnG3XUH9a6NGRP71zRd+rs7WZNY0xbsePQNa3uMGpkFZopAPqLihbHLJA9KcSJFc3py+LVH/pk7TpyHQrlSAaxYjibxPbWvSdw1HNf0Pm1/fBVuHP/KcxZcxIu33yknA/6ZxXLnfItQPhnQE3AkoX61qDbInj89KXyZ1mA0VAdoIkyXVYA8MSFO/D8xWuvihX6/uny35Ezt6HjGBUAv34/D2Dd8JDavuM3IF6caEo9ZNnzRpSUu37nMWCaGXzWYHUEvNcR1nBpEyHYX2ARLr9iFCwmxo4RPSoM+mMHbNp/WTs1fAS8fqP+M1Oq+PBRhazavMDjbPQA77v5UwOmkDLbrt1+rFTiGP3PXm3XJrVyKumhXrx4DXmzJoH9J24qufmsJFRGuOw/eTscOn1LempYDxqfiyJ9j10A/H3hIa2qCB5Qf0/jHD985jYUz53Ccmm1/SdvKHMP3wGYm9HJZyieM6YFQ6vokbO3tbEEGgDSqj/oUlE6Dy8BR2gAnD59umL127lzJ8SIESNEAHz27Bng/0RDH8C0adPCvXv3lOVjfcNi5RgsgXUHsYwT3siNe3sDoNgH81h1HbtJ+SeWFUJfJiutUc8lcO+huqQlWuY08WFk23Ja6TZMW3Duyn2YvPCw3+oXM1Yeg6lLjkKS+DFgco+qXn3qE7GaeUmZHRfNbeh00Xfq6+NmTWN9zVfUwCoAIvigDxo2mdVK6PvzP3sVPyXqu2ZWe6Pbi0hQN+pOi2VzTN4qqmFgZRisEKNvXb8oAiXypHoLAL+omRPqVsj61vb1uy6EJ8/UqOwxHcpDel2E+aApO2DTvmC4ESBGI1+NXEcaNPV33+oakA/5cydsoBbAbpUhmSex9+Ezt6DTmI3KuTV7PzfULp3Z7+W4fPMhNB+oaoLnRF0nxI7iWSSSuGNeQJyb2Do2Kqx9oPgbk6i9XKFwWsD99RohpON4aRPJ6DFYBH0GsSFI4Yev2SbOPaT9aN7GkLalv38/Yi2cuqjmi5M1/NjFcYjgnR+/LKZ8VFttegDUf4iIj3qE3A/Lvz2HQzouwn7Tfiu8NnO6Sgd1SxEHCrSaxrSiFAOgepUiLABeuHABChcuDMuXL4d8+dQo3JAsgL169YLevXu/db/5AkDxoHo3Xyro1LiIXwDs+FlhwJcBttRJ4yhLe1YaJprGhNO0iTQY4nw+rpwd8IsQvyqx+XrY09I5+m2evXgFH3Ve6HUcNxJO4wFoZLPTRd/pUk/M6FHgnwHulLSTvbSMgINsDuCXdt/fQgZA9NFEi4u/a2xljsn2oeOzOi5f5yL6RlhAaMBGl0fpfrg8VzJvKuUeoEnX65bPAl/UyvXWIWheRgwUwYAR2vTLm3jvfFotSIEYEflqZLzUYk7TzQyesgM2EsCklV3QAoVVTrA1q5MbapfxD4DUMoznJJtzAqLFb+UKptHS0JQrlEazavkbk/5a68cQNUokePnKGwDFHKQ+YlaTWxsFQKvzPqT+8Vm99cAVbeleWJ2t3kuTFxyCOZ6yctiHHgDF+VgN5jtw6qZmXBDn6LR1bqoulyEeZ+aAmoqFOFBa84ErtZUC9KktnTcJB4FE1CCQuXPnwgcffABRogRHKb169QoiRYoEkSNHVix99DecxGYtgHoAxAodaM2SNSzSjv5G2FInjQ3jO1eydN9IATBVfBjVLtgC+EmV7LD3+A3FXG8VAPWZ+LEftwCQBrY4XfNz0cbTMP7fA4oOMaJFgZkDwxcA+suL6ETAidFJGNoASJdH6TkKq5IeAD8slwWavPc2ANK8jLIIc2Hpw4oG6Pdav1I2+Kx6DtMASD+YqJO/PwA8eOomdPGsCnxVJzfUCQEA6YeBLwAUJeXE9SpbII1mySpfKI1Wls4OAAqt9HMH+6QWd6uRzSEBGj2uETjXn2dI/aOldMvBK5rl1i4A/rbgkFZXGM9Fb4l2AwCdts7pq5kEIgDSilIMgOqsj7AWwAcPHsC5c2oYv2hNmjSBoKAg6NSpE+TOnTvEd19IaWD0AIi+TF/0WS7tFzP0j/h7j/JbqiSxYUIXawBIoxrFgUQaDHE+Datkh13Hriv+huECAElgi9M1PxduPA0TwhkAbjt4BfpNVpfR/AGgEylnQrwJPBuENgDS5VF6jp0aF4Z386UGfdL1D8plgS8tAKDw9UPrMC4V16uYFRrXyAnUMmgEMp6SyhXUyqdfPqVwSC03RgAQ/dLQd03c0zKQ0QNgmfypNUsWLumKwAYzAKhfxo4WNbKW61IPY9TibjWwJSRAcxsAOzQqpPhPi6V7TAuDvpRW21sA2L48pCeWaDFemofSzLFkFkCnrXMyC6Avv1sz5+7ktrSiFM69MmwBjLgAKJtYIS0B6/dxEgAxPcOoGapTMzpg4zKRldbwx8Xw4LEa1egPAHcevQbHz9+1DoC6UkzYkVsWQOrX6HTNzwUbTsOvc1ULYPRoUWBWOLAAUgCU+a2J6x4RARCX50rnNwGAJC/jqB/KAbpL0CZKvmGOSIwWFkvJFADnD6utrBz4azRxMU31og+g8ALAkzeh6zjVL7hp7dzwfln/S8BbDlyGAb/v8AuAYtlVW1bPl0rzcaxYJC2s2nHB7zMBf9TDvj6QxR8A0vvNyLK2TNOwBsD2nyIAXtGW7jEtDPq+Wm2T5h+EuetOabvrk92L8Vqt6MQAqEpLK0oxAKqaRFgLoOxmDUsAxC9zUXw8ReJYMLFrZUvPExkApk8RF8Z0qKA9uBtWDQIMJMBSU9is+ADqSzG5CYDUqul0zc/560/BxHkHFR0wIhtzV7nRarefB290blFGLEeyc6GWHn+VUZwoO2dUi9C2AFL/OHqOuDxXusDbAIjwhBClb3SZXJZjUtTSTRA3upJfU/RDwQ3rYIcU/U7z1tFSX/4AcN+JG9B9/GYPAOaC98tm8Xs5MBIX+xP3tAyUMAEu1hQWvyG4CF/GSkXSabntjFgAkXnnD6vzVi5Df0vA89afgv957remtUMeUyACYLuGBWHroasaODsNgHpfVDcA0GnrnGwJeEb/Go5nBDD6PJJtRytKYTBX2XzsA8gAaGNGmbUAYlqYJn3lS8DoDyPyTiVPFAtwmchKo3nNxP6Y1gGjRcWDBJ3YESJEpJsVANSXYnIXAIOtmk5n/KcvJLRczB78nhXZQ9ynTvt5WmoMsbETACgLXBD90wAHq8cKcWCeDQIFANE6U7ZgmreWgH0BIA2UGfF9WciS1jvJuKikgZHwN+89VfzwcDmWLt3OHfJeiOk5aN46CoD6IBNqAcSULt0nqACIy9e4jO2vbdx3CQZPUQPJfPkAiprC4nphahFRx7dy0XSwYvt5bX9fxxL7ihrg+mTWmNpFBB/RPvCc5q47CZPmH1L+3KRWLviwvP8xBSIA/tCwIGw7eFVLfSMiz43eK/rtEIjxOSSa3hdV6J0vaxLo16KU6cPILIBOw1m4AMB+y+H6nSeKfgyA6jRiADR9OwXv4CQA4oQUS5GYBgLzgVlpH3dfDJinizaRCJcC4Jb9V+D0ZTXVQaADIIVapzP+49ILLsFgQ8vFnHAAgDSVhr/SeBERADGYCiNb9VV3fAPgfC1iVZZkvPv4TbDvxE3AjzLMP4e5+PBepcEbRlJqUJ/EKT2rark39WXUaITw3uPX4ccJWwzD0oY9l7zSuMgsgCLwQvyGCYxxNQCbVQDUl7PzFwU8Z80JJf0Uts9r5lRyBJptYb0EjKlvth26oiW/FpHnZschtp847wDMX386RADMny0p9G1e0vRhGABVyWhaJEyrVC5fUo4CjqhRwKbvIskOZgHwxp0nyiSUNVwOEV/GSRPGBKwJaqXJADBNsjgwrlNFzQLYqFqQ4r9y9sp9ywCor8WJHbnlA/hxt0XwyJOs1+mM//+uPQnohI0NLRf4Mnej1ekwX0m+TZtVq5xRAKzXZSE8fa7muLN6LKNahLYFkEbI0nPE5blyhdK+BYDCcqcfj8jViX8f3qYMZEuX0GsTzM2JL1CMzL9045FSjxchigKgkaL3NAeoUQDcfew69PxVAGDIOeDW7b4IwzyZBHxZAEVJOXG9MD8f5nDDZhoAI0eCeUNrK9kL1u6+qOkmywMo5uDMVcdhyuIjyrYYTY1R1WZbWAMgJu7HSiBi6dw2AM49APM3hAyAVvMahgYA/rX0KExfcczrUjptZTQ7T/Tb04pSDICqOmwBtDGrzAKgLCGnODwmqv19kfplnCRBTJj8o0UAJLAk+hZpZcSDs1H1IEBrgSiMbcUCqK/FicdyCwBptQZMkI2Jsp1qWEVi8kIBgJHg3yG1neraqx8KGuIHq1BGnf1lgQuif5rk2OqxjIoR2gAoe6nhuaJ1BqNZ9VUwapfJBM3q5HlrOBTMZVVmMA8f+htiPeHzVx+AqN1NI1+N1DylGQD+6FkVEnmq7+gtgLQMGFbbQB9EbL4SWdMBrd11AYZPU5M6+wJAEXkrrhfeSwia2MwGgSDoof/j8Gm7tPyB2A9WPdJ/7Ihz+mflcfhziQqA+CHaoHJ2o1NM2y6sAbBNgwKK1VQAoNWE1mJAuPKDwTGi6e9peq2sFAiQ3SvT+9WwVCXF18WSAaDTxzA9UXQ70IpSGIBULj9bABkAbcwqJwGwcY0c2pexrPKG0dOksCT2EWllKACu230JLlx7oL0sZP37SwRNa62Kfd0CwPpdFwEGnWDr3ayEAppONbokJV5oTvVN+3ELAEe2LQuZ03j7rYnjRkwALAAVCqczDoDEN3No69IQpCsz2PHnDUq+TIwOPn3pnlLRB6tp0MhXI0l1qfWfAiCtKILXjQLgrqPXoNfErcrlNLJciilcRFUPXwAoKpmIZwEuK2JOUGxm08CI++Wnabu0/IEKAJJScPQewHNCKxHCAjZMR/VJ1SDTt1vYA2B+xQIofCexMkipfOYrmoiBT/h3PyzceCZEACwUlAx6NTNfIYoBUJWWVpRiAFQ1YQA0/fgJ3sE0AN5+DBiJJGsYmTttmfpgROsAviSsNBkAirQy4sGJSy9rdl2Ai9fVwthWLID6YuzYj1sASJcysYxdoaDkVqSR7jNr9QnAYuzKi8uzpOVY56SjDzoG+5qJP1u1ym3efxkGeqI9ZZGron8KzlaPZVSLULcAkhQp9Bxxea5ikXRvVd2pXToTNHv/bQsgjc6WlRlsP3q9ki8T66di2iRcJm3doIBX5KuRnGroP/iV596nQSBvAWDnikpNW2y0vBZ+INar6H+5dNWO8zByuppL1BcAipJyNLJ0/8mbyj5mARB9/dBiri9ziNHB+oh3cU5/LzsK05arS4WiqorROSa2C2sAxHrKmHQbIRCbbQCcsx8WbgoGQP1HHV2u7/lVcbNyKS4Mosyo2PnvfjUAUxs51fDd9bfnurp1DLvnSitKYSBXebYAMgDamVRmAZC+BPTHbVA5G8xYcVz5c6J40eGPntUsnRp96YsOUiaODb92raT5AOLLBF8W6NMkHsyyg/mzAIYmANJgBnwAot+SU436JLkLgMFl2cS5W4UyowBIPwasHsuozqENgFjKsNs4NUKWNsynWano23W3RfCGfnsKgLIyg+1GrVPAL0eGRIolEFOltPm4ANDAByMpNa7eegTNBqxUDk8BUCSaFuc1gQAgLe1mBABXbj8Po2aYA8A8mZMogIDNbCk44TMrq3Mtmzc4B2m0qKiqYnSOie3CGgDRAozXRgCgSD5udhzaNdcBoP6jToy3SM7k0KOpQwBI6lFbPW+6n2wJ2GnItHuetKIUA6CqJlsAbcwqJwEQKwzMXHVCOZuEcaPDlF5WATC4uL0YmkgrIx4k+DLBdA9XbloHQH2pLTyWWxZAms+uR9NiUCSn9cLr+svtBYCRAOYNq2NjRvjelaYbEVtZhTKa702WukT0HxEBsHX9/FC5WHrQl130BYAUJmRlBtuOWAsnL94DTMKLljK0kqGfIQ18MOLsfvnGQ2g+aFWIAIg1wLEWODb0M+s7Sa35bAQAl287Bz//oyaT92kB9NQUFuPG+rLo46gAIKkLbCQPoBUAnLL4sPacwwhgXNo228IeAPPBjsPXNAAUycfNjkNsj+m/sEKKaL4AECO2f2xazPRhpBbA0ABAh49heuC6HT4jFaUwJ2iFAuwDyABoY1aZBUBqBdAfFisMzF5zUvlzgjjR4c/ezgGgSCtDARBfFldvPdZeFjIZ/FkA9aW23ARAmqwXH4D4IHSqzVh5DKYuUZfeRWJbp/qm/dAxiL87AYCy1CWifxo9bfVYRrUIbQsgTZJMzxGX56pIALDWuxmh+Qd53xoOPW9ZmcE2P61VfP8wAnPP8RuKlaxdQ7Vut4h8NeLsfvH6A2g5eLVyfAzwwkAvbHoLIAVAWvHFSMTssq1nYczMfdo9LQMlUVJO/CYsm7gTrQtsBABF2qSR03drFUT8zRfsE90t0O0Cm6iqYnSOie3CGgCxmsrOw9e09Dl2AXDc7H2wePNZTQb9R50Yb7FcKaD7l84A4LS+1SFurGhmpfe5vXQJOMAA8NMeSwANF9gYANVLyQBo4xZwEgAxT5koBxQvdjT4q091S2dG/eVEB8kSxoRJ3at4LQEv23pOyWuGzYoPYGgCILWe/fhlMSiay0EAXHEMpnqc0v1pYelikJ0cBcB9l5VExNhkqUvEYf/TAEiSJNNrg8tzGKihr7tdq1RGaP6hNwC+efMGarefr+0uKzP43bA1SrokkS6lTIHU0KFRYa/IVyNLXeev3odvhq5RjoUpnjDVEza08Ik8fPjvcZ0qQJpkcZXfaMUXjNxvUMl/xOzSLWe1akK+LICipJyAiuzpE2o1wXFs6/dc8vtMwB/FvgIAR03fo1UQ8Xef4DlNXnAI5qxVP3R95WYM6V4LcwCsmxd2HLmmWAGxieozIZ23r9/Hzt4HSwgA6j/q3ABAfL/ge8apJgNApyHT7rnSilKYdq1CgWScB5DzAFqfVk4CIC5RiVQA6JyLLxUrjfrLif1FWhnxIMFll8WbzwBGJmKzAoD6RLvYj1tLwDSAwm7hdb2mNCrRnxZWrgXdh9blFX+3apXbZBQASVJwq8cyOu5QtwD6AEAsqVitRAZDAIipSjANjGiyMoPfDF2tpH8RFTPezZcKOjUuAjTy9W8Dlg6ESIRJbBQA+0zaqoEE/oYVe7ByDzaa79FIypQlm8/A2Nn7tXtaBkqi/Jr4LWvaBHDCUxISayhv2GscAEXlHDMASOve+srNGNKcC2sAxGoqCH8if2KHRoWgTIE0IZ22z9/HztoHS7YEWwB9ASCW7cOyc2abbAk4YgJgcEUprKxTsSADIFsAzd5NZHuzAIg+d18PVB3B9a1GyQzaMkDsGFFhev+als5MCoDxY8DkHlW1L3fMKbZw42mltJVVANTnWXMTAGmuNrt1N/Wi0qhE/G3+sNoQCdeCHW7Uj9EuANKSX7LcdaJ/WkHlvwaAtEoGvVS4PFddAoAigTPd9tXrN4DpeUSTlRlsNWQVXLj2UEnzgeBdKm8qwLxvFACNvEzPXL4HrYevVQ41qXtlSJYwlvLf/gCQBvtg+UaMmvXX0I9MlJP0ZQEUJeUERGVJE1/xccSGcIsJ4kO6D8S+onb26Bl7tBJy/s4Pz4lWvfDllxnSrRfWAIjJtHceve4YAGINeLTeiqa36ovxOgmAU3tXg/hxoockteHf9c9R3NHIfWH4AA5sSIskMACqgjIA2phYZgHw8s2H0Hyg6giub7hshcuy2GJGjwL/DKhl6cxkoJE4fgz4XQeACzaehlt2APD+U2jce5nXObplAaR1dO3W3dSLql+6wMoGGA3sdHMLAGW568S5/5cBcM+x69DDUyWDXqtWdfNC9ZIZQV93Gz+wWtbN53VZX716De93XKD9TVZmsMWglUq0vAiQEC9hGvlq5GV68uJdaDtinXIsLPOIfrnYev9vqwYS+G9qAaTBPpgm6pMq/gEQP+om/HtA6dcXAIr6uwIqMqWKr5WEFJCL+/urb2wHAGnOOxmUG7nvwhoAMZk2Wv92HVUTaIv600bOXbbNmJl7tWc//u4LAEvmTQldPnfGAmhkzpoZT7gAQFIkAe+DSoXYAsgAaGaW67Z1EgBpGSbxZW3l1GRLjSKtjHhwNqmVU/E3vPPgmfaykB3LXxCIPsoS93cLAGmqDrtZ9/Xj1KcvwMoGmODW6SazzFq1yuEyHVaiwDb0u9IQlCGR9HQb/hi85GH1WEZ1CO0lYF8AKGrdGgHAl69eA/qXiiYrM/j1gJVw5dYjrUqGcMQ3C4DHz9+BdqPWmwNAstRvJGny/A2nYOJcta61bwBUS8qJ65UhZTytJCQCxub9V5T9/ZW3E/tGjxYFZg2sBWYsgDTiVVRVMTrHxHZhDYCYTHvn0WuAlVqwifrTZschtjcKgAjomHPQbJMtAYcGADp9DLPj1m9PsyIwAKrqMADamFWmAZCkgtAfliZhFc7VVk5NBoAirUwwAOYCrIF792H4AED6wLebdFWv6dQlR2DGSjX/Ija3AFAWnGMVyrCM35CpRgBwCWC+RgEEVuaT0X1CGwBpnVx6jqLWrb7utgw29AAoKzOIyZsxWEpY6EUuNgqAU3pVhYRxY/iV6ti529B+9AZlm/91qwyYmgmb3gL4S4fykC5FPOU3CvpGAHDe+lPwv3nmAFCUuMPjoXVTlDfzV91EXOsY0aLAzIG1wIwPIPV3E1VVjM4xsV1YAyBWkdh17LprAKh36xDjFf6nZvWSAeCfvapBgrjuLgEHGgDSykhoBKlUKDkHgXAQiNnbKXh7swB46cZDaOHJBaY/Kk3BYKckmSzaFG90vOEpAM5ZewLuPfQPB/4sgPooSxyPGxZAfaSm3aSret2xLinWJ9UAcMh7ECVKZOuTwseebgGgrHqFOAUa9WYVNo0KEeoASOrk0nMUtW7fAsASGQD9A2l78fI14P0imqzM4Jf9livBUrhciT52ohyXFwD2rAoJPbV9fel15Mxt6DhGBcCJXStBisSxlf/uNXGLtpSI//YCQAL6uPyLy8D+2tx1J2HSfLWutS8LoKgpLK5XmmRxtIpAFAD9Jbe2A4DU2iWqqhidY4ECgJhKB61/ooZyu4YFoVyhtGaHoW2PuRsxLZdoercOoTcG6WDKGbNNBoBGPlrMHEe2BBxoAEifwQyA6tVlC6CZWa7b1kkApA7YdvLRyRIOx48TDab2rq4BIDrAYgLkB49faC8LmQyBAID6SE27KRf046SJafG3f4e8B5jg1ulGvz5F31ahbP2eizB06i6lG1n1CtE/zXtl9VhGdQgNAKQ+UPgC7jlxy1unJ0qdXb/zGJr2Cy67iIEhbwPgK/iw00KtD1mZQVFAvnaZTDB//WklH2Cf5iW9yp/R2r6+9MJky51/2aj8TAEQxyCWEvG3MR3KQ3qPBZBeZyNl0+asOQmTF/oHQMwA8GG5LFr0M9YJv+xJCI/L26K6hb/chuJaC19lM3kA6XKxqKpidI4FCgBiKp3dR68peSGx/dCwIJS3AYD6JXRfAFgmf2roEI4A0Gkro9l5ot+euuHgh1DlwmwBZAC0MavMAiBNBqs/LP36xt+sRqPKAFDkFRQPbkwFMX3FcXj0xDoA6n2s8JzdsADqHfXtplzQ604T0+Jvcwa/B7gE73STleizCmUUDGTVK8S5N+q5JEQrr1PjDG0A3HX0GvSauPVtAPRUutADIKaGwRQxtD1/8QowOEc0WZnBz3svhdv3nynQhPnr8mdNCn1beAMgLe3mS09qhTEKgJhoGhNOY8NSkY2q5fB7uWavPgG/e+pa4/OD5jgUO2JFERyLCH7BMpHo44iNAqC/1DbBABgV0FJoBgDptqKqitk5GNZLwPgBjda/vW4BoM6vV4wXV4naNypkVi5pLeApBqzWZg6EdYBFLXuxX6ABIHWPYgBUrxIDoJlZrtvWSQCkD188jFVfNJozT5wuZnzHpJxeALj8GDx6+lLZxEoeQP0Sm1sAqPfTshtxp7/cvy88pFVgUQGwFrwTNYqNWSHflTogiy2sAuC63RdhmAcMIhIAihQsqB9GYaL/nL6JShfXbz+Gpv2DLYAyf7NnL17BRwQAZWUGRfkoUaoRS8L1b1nKKw0Mrezha+LQyiW/dqkEKZOoS8A9f92iLSXiv8e0Lw/pU6o+gGt3XYDh03Yr/92gUjZoVN0/ANKyhhjNTnMcivNCAMQEzMLyidHIqBU2rLAjklL7W77TA6CZWsB0W1FVxezNFtYAiAEEGIS094RqAcTSgAizVpveh1Lv1iHGi5HoGHBitsmWgI1Yrc0cRwaATi8zmzkf2bbUPQot4VXYAsgAaGdSmQXAC9ceQKshajkofROVBsTfrS5FygBQJJYOBsDcytfak2fWAVBvYcHzdsMCqPfTsutvo9ddD4CzB9UCjMJ2utGqHKJvJwBQVr5M9E9rX1o9llEd3LIAUh9QIwAoEh0bAcCnz19CvS6LtCHKygzd7hliAAAgAElEQVSKZXT0wcOXXO7MiWFgq3e9AJAmdvalF81baBQA1+y6AD95ALB+pWyA5eD8NfRlRZ9WbL4AEPuoUzazBr5YkUQkhKfPIH/WG3GtY8WICjP61/RaDvd3fjgHaQk9UVXF6BwT24U9AOZUoH3fiZvKKdkFQL0F1ScAesoQmtWLAVBVjK6OMQCqmrAF0OzdRLZ3EgALZk/mZQmwCiKY2BYT3NIWO+Y7gD494sGJVhKMfn36/JWymRULoP4F6x4Aevtp2fW30V9uWpoKf/MX/WhjqoCTAEiXBmXlyzQA7LUUsGKLv2tsZ0x0X7cAkLoAGAFAkegYI3cxglc0mQXw6bOXUK8rAUBJmUGRSxHBCeEqZ8ZEMPjb0l6l4GhiZ196Up/FCV0qQqokcZRNe0zYrPmS4b9/bl8eMDULttU7LyhwhQ0tkI1r5PR7uWaQsoa4gkCTXIsdsaRc7dKZAV0SsGGOUJEPlD6D/FmIxLUWCevNWACH/rkT1nuqjViNag1rAMTlQwTA/ScFABaACoXTWb6V9Prp/XrFeK0umcsA0IjbgpkB6Ssq4b5OLzObOR/ZttQ4gpbwqkVScBQwRwFbn1ZOAiAuLYkHCp7RzAE1IUb0qKZPjlbNEDuLBzUFwCmLjwD6QPmDA39BIPoXLPbjhgVQv0xn92tbLygtTaXoPrAmxIhmXveQLhTNQi+2tWqV8wLAlqUgT5Yk0sN/9h8AwBcvgz8AKADuOHwV+kza9ta4RaJj/fysUiw9fFc/v9f2aAEXIIQ/yMoMiqV7jBqcvPAwBKVPCENbl/ECQJrWxdc8oEvWEzpXhFRJVQD8ccJmzZdMD4CrdpyHkdP3GAZAugyHiZxpkmsNAKsFQa13MwHOR2yYIkrkA6XPIH/L2nYAcPCUHVq1EXo9Q7p/6O9hDYAID+j/J57X339cACoWcQ4A9W4dDIBmZofvbem7kQFQ1YktgDbmllkApAXh9YfNlSkxYKSgaDP614BYMd4xfXYyABRLNeJBgnms0Fkcl1cDHQD1y3R2H7ZhBYC0KodtACS+YbL6taL/xr2Whpjs2/QE87GDWxZA+gFgBABFmpOrtx5BswHBZReNAKCszKCI3karOebYy54uIQxrU8ZrKZMGdfjSE33r+nqA1R8Ajm5XDjKmiq90s3L7eRg1wzgA0qo2/gAQU9p88uMS5RgJ4kTX8oHSZ5A/q6YGgJ6VBVoWz998wg+egX9s15JNWy1tFlEBsGKRtPD9xwVN37JhZQF02s/Q9MB1O9CKUgyADIB25xOYBcBzV+/Dt0PVgvD6liNDIjhy9rb257/71QD03TPb6CQX+4p0DRoAvp8bcOnz5St1qdjKErD+BYv9uGEB1C/TtWlQACoVtf61rdcTX+qYQFc0q5bXkK6TWwDYv2VJyJslqfTwIoLV3zUO6byN/u4WAFIrHQVAClT0HNG356MKWUE/P2U55x4/fQENuqmWMGyyMoOihB8mmB7/7wHIkjYBjPi+rGkA3HrwCvSfvF05zvjOFSG1sACO36wFE+Bv3gB4DkbN2Kvsg2PCsflrU5cegRkr1JyW6ENMq5yI/bCmMKbEadRzqfInDBATycLpM8gf1IprLXyLzQBg/8nbYOvBq8qxRVUVo3NMbBfWAIjuAGgBRLDCZveZpNePWgCpD6zVvIkyADQSuGTmusiWgAMNAGlFKQZA9eqyBdDMLNdt6yQAZkuXAI6fv6sdwWohbTrJRWciYz8FQEwYizn2sAUyAOpf0m0a5IdKRdPbuGreu06cewDmbzit/dFfAlw7B6Vl2UQ/VpeAaXBAvxYlIV/W/y4AYqoisVzpBYCHrkLf395eAsYHe72K2SwBoKzMoHAc/7ZePhgzcx9kSh0fRv1QDoZN3QXr9lxULiX16fM1RzbvvwwD/9ih/DyuUwVIkyyu8t/dx2/Sggnw3xQAMTkwJgnGVrd8FviiVi6/U5AmNcd0RjTJtdgRk0lXK5EeGvdS63ije4jIBkCfQf7GpAfA4dN2wdpdqhb+Gs73fr9t03INiqoqIe2n/z2sAbBRtSAF2g+eUlds7D6T9PrRwC705xa+nDIrthHtwgoAnfYzNDJWf9vQeYMQX60o+wAyANqYVaYB8Mp9+HaY3AKYOU18OHXxnnY2VrOoywBQ1OwUNwDWspw47wC88cSKWAHAKzcfwdcDg5fY8MTdsADqARD9uPBB6FT7de4BWEAA0OrSe0jnQ6tyiG0dAcDmJSFfNl8AuAywZjM2q8cKaVzid7csgA8fP9eWK40AID7YMWLWiAWQwiWOQ1ZmUARVoZUHl2MzpooHo9uV9wZA4tPnS69NpK6vUQBctvUcYOUMowBIk5r7BMAq2aFqiQzweW8VAPHZ8MwTDEafQdRK6QvA4sZ6B6b1reHlDxkSANLSd6KqitE5JptrIe1rZd6HBJhoRUULoHDZsQ2Af+0C9OsVjQIgzYJgtXSeDACNRK6HpC39nQYgib8HEgDqK0oxAKpXiQHQzCzXbWsWAM9euQ/f+QBAfLGcuXxfO4LVCCrZwyta1Mgwe/B7WhQwlsua8O8B7VhWAPDyzYfQfOAqL0XcAED9S/rbevmVuqxOtQn/7oeFG89o3YUHAKTRoX2bl4D82ZJJ5RBVLMIzAN57+ExbrqQAuO3gFejnWVKlg8co1waVsoP+A0VWdeLhkxeAS/OiycoMig8qTD+EOfnSp4gLYzpUgKFTd8L6PZeUXf3Bkuib1m8e27ECpE2uWgC7jdvkFfyF1kW0MmJbtvWsYnXEhsmbm7zn3wJIUxphPkta5UScB6azwQ+oJn2XK3+KGiWS5gpCn0H0HPWTSzxjRH5RmtrF332Jzxla+g6jjrH+stkWEqDR/twAQLSiYl5HAYCt6+eHyjY+Sqk1Gc+dRvZTH1gnAdBI5LqZ6xLoAKivKIXPiepFU3IUMEcBm5nm3ts6CYC0KDsexerXk+zhiJUt0CIgfnMEAG88hOa6usZuACC1AKEuuBRXtXgG6xdNt+f4OfuVGq+i+SuBZeegTloAKQD2+boEFMj+3wXAOw+easuVNGjAJwBWC4IGlQ0CILEu4rXVlxmkVgOswTrkz52QNnkcGNuxohcA+oMlMWdo5LZRAFyy5SyMnaUC4AflsgCmuPHXaEojXwCIJeUqF0vnVSZP9EmfQbQknZMASNPeiKoqZu+rsAZAhGgEwMNnVJ9tu6sS9GNCD4DUB1pWzcaIdgdO3oSu4zZ5bRrRAFBfUYoBUJ0ObAE0cgf52MYsAJ65fA9aD18r7Q2dwi/deKj9ZtVEL3s4Ym1bfCGI0lDCoV0czIoFEM+1RSgAIDqoIzyJhuW88EHoVBs3ex8s3nxW685q8E1I50Pr8optrZb7W73zPIz4W40ORQsKWlJkrUmfZXDzXvheAsYlbLFcWTx3CujWpJgyVBpUQceOy3MIOXoLtSyCUj+39GUGqf8VRggP+H27EryBFj+az84IAFK/TX8AOLJtWcicJoEypCWbz8DY2fuV/8bqHViD1l+jKY0wjygtcyf2w5JyaA2lEdLiN/oMor6I+mOKZ4woMam3YPk6R3zOUJ9HUVUlpHvH1/GN7OeGBRDnFwKgCNqzDYAkNyKOiUb2UxcYWT1rIxpIAbBbZcAqME61GSuPwdQlR726czrQxM656itKoR9n9WJsAWQAtDGrnARAWpMTT8lIbjH9qev9HMTvUSJHUpaAhTNxiw/zAlq+RLMCgLK6xm5YAO8/eg4IT6K1qpsXqpfMaOOqee86dvY+WEIBsG91iBMrmmP9i45oXV7xN6zWEDlyJNPH8gLAZiUU30tZw2U+rNmMzcqL0MyJueUDSGtOY6kyrNaBbcuBKwqQ6VvDKtnhk6pBcFlnoZYl0dXPLX2ZQep/hWXiMO8glnDDSh5oDdzgSWj8S4fykC6FmrzZV6M5/ej2Xcdu0qJJcd8RbctCFg8ALt58BsaZAEAa0Y4JzWmZO3FeWFKuQpG0b7lv4O/0GURBVD8mca3jx4kGU3tX97KG+tMA5yBd8hZVVczMM9w2rC2ACNH7T9zUANCuWwqdSzg+GtlPV0BqlMwALet617M2op3MB9DK+8XfsQIdAPUVpfBDsQYDIFsAjdxAvrZxEgCTJYwJ1++oL2tsRnKL6c9L7+cgfkfImDOolpYYNjwBIPUBw/G0rJsXajgIgL/M2gdLtxALYDgAQAoTvf/jAEhLDmKpsp5fFfcLgLg8hz5aVgBQX2YQE6ULKxpaWrFub4rEsWBi18peAEjr9/p6VqzcHpzShQJgl7EbtWhSPQAu2nhaST2DzYgFkEa0+wPA8oXTvmW9x2PQZxCmusGUN7JmBwA7/7JR850TVVXMPoPDGgAxyAitasICaNctxR8A0o8UzN+Iz26zTWYBDA0AtLqKZXZ8Rran9zJuzwCoqsYWQCOzx8c2ZgHw9KV70OYn+RIwLcmEh6PJYo2eok8AjASKBVDkBUOIEpYF7NuKBVBW19gNCyCWMsOKFqLhAxAfhE41jLLEaEvRpvWtruRGc7rRuryibyzXhdZZs40CYK9mxaFQUHJpF1/2W67VeQ2vFkAazUvn15YDl2HA72paFdpweQ4f7noXBZkFUP9xoS8zSP2v0CrTbdxmBZImda8CtKIFLd/m61rSiF7qX/cWABLwWrjxtBasVadMZsBk1P4aDWjCija0zrHYD+GlXME00prk9Bk0vE0ZyJYuofRwAsD+z953QE1RZN8/ySA5g6CgqIgBEDFjAjNiFgOmZRHTmhFBRFQUSYuYkHUVAyqKoAQRJKOgiEQViZIRQQUTAgL+z63+bn9vaqp7umfm4+f+mXfOnpVvqquqq6u7b79wL0ikX3/knIRweNj8sAc7PvuxnzsH3sFe/2oWd/sXqAcw6BmqJwlZPoCqRas2mz9nCgD1XkJ/mtpJP/9anlRX2mcJAKbjYAi7UC4P4N8JANqKUvhIPP/4XAg4BwBjP37yD4gLAJev3SJ39ZvqHLF8meK+bisaRMkrsjvSOUv2bzopHGFU5hah3d8ZAOoiAMwVBSyQssqW2QAwXf7FVPPRsmxsC7WGwoULpTo06XetEAGPGDxjLmvb/SPfq/y/CgB1Ll+jQ6rIY+1PNKeqefX0uSPE2ebcw5IA4OlNask9VzdJWCYbANoygzr/CvqsHZ/9RCqXKyGDup6dAADD8uU4oC7o0B5D7RFDW+15Az0RaIpgrU45UNpdeGToXhk4fIGMzitoAqG51jnmgQAvpzau5aSj0s+g3v9qJvXrVHSO5wPAMsXl9W7xAGCHp6f5wImqKnFvgIL0ANq5Yq65YQ0hA7c4DwBmmpf85GuzBDRBtO6K2mnzL9vkujzKnrQ9gMt/EKQaaNsTADDbhSZx94lubytK5QCgtzo5AJjBrsomANSM/JhSlLwie+p2pZP+XSeFZwMAumTtCsIDqIsAcD7gMLygWfYA4NNvz5Xxn6/2lypd/sVU28gFAKHWgAKduKbDif+/A0DtyWt4cGXpfvNJoQAQHi5wfNk5qi4AaHuXbZlBTRMDj9i9/adJxbIlBAoH+qWtqVuCrqXO5wsDgP++6xQ5uLbneRs5bbm8OOIrDwA2O1DaXRQOAHU+axgAbNZoP2cxmn4GAfA2qFspEgC0Q5hBa4CPkHv7T/UJ76mqEnf/FyQA1NrTQfMCKTdIoBev9jyAt17W0KirpGtPvjpLpi9wA8Aff/5DbnjUo+xJOwfQUQW8RwBglgtN0l1fHGfrfiNX+PwTauZoYHI0MOlvq7gAcNnaLXJ3gAdQM/JjRlHCSnEAoA4J4YFFegn0kY4H0CVrVxAAUD8AMdd2Fx0hrZodlP5Fs47cUwBQ6/JyCqDmAUVPXNMAEMUJTRtUd3bR9vHxsvGnrea3/1UPoE41OPKgyoYjDYYXJl6ctsE7c915DZIA4GlNasm9lgfQ9i7bkl46/wpFEfDew0sGr5cGgGEFE5yfDufqe9v2AGoACIlCFHbA8NGDj58w0/msULS5ovMHSc0hKXdyw5rOSIR+BmkyYrsTArAKZYrLa93OSciHDJsf9uDdT02VZWs8xSMQTz9192lxt3+BhoBtT5FrcgCAKKygclOmAFDrI2M8ze2pc2DPPbGO3JpOEYgDAKKQCQVN2bJ3JiwRKNFoe+lvBABtQYEcAPSuVM4DmMEdEBsArtliHoAug1zbtjxGfvwexatg9xMWvgDBMXVPEbLAy4KWFgB0qJrsCQCIPCjkQ2XL+g+ZKxNm5XsA8XLHSz7bpnV52TfC8kWLFI491PiZq+TpPIkwVMWiOtZl/3x8vHz/Pw4AV6l9dviBlQQ6qTCtrKHPnZq5do4q8t7uvSYxBKzDa+jDVnTQHkJ47aDiQ+oT7bXRlbtBF1N783TIWOfE4Vide/f+1OUCahdYy5PrSvuLwwsAdDqDvt/1nABeTmpYU+55alrSVPUzKExjmgCwYtni8urD5ySEw8M2M54zyIFGLjSMqipxb4CC9ADaQME1N5ByAwAuzQOymTIToJodVe00ze2J+xf3MSxtHkBHCDiKfGGc6+ICgNkuNIkzH7utfV1RLNYy5wHMAcBMNlU2ASA8QShVp0V5qdhzt0vd9e8gOKamajYAoEvVpCAA4KbNfwiKGWjgQkNFZLas31tzBMTKtNe6nS0VypTIVvd+Py4AiLB8saIZAsB/HCfHHv7/LwDU3Jm6aCAIAFIzNwoAtNMLbD43AkTU6UD949Zek4TyZxoAaq9d0MbRYE4DwPuf+divJrUB4HtTlsnLo772AGCEAgDtzQ4DgCceVdOEs23TzyCdh2a3ywQAQgkJzw4YVVXi3mxxAGBcrk1becg1Nzx/vvr2R9+TmSkzQRgA1Io2aSuBODyAexsAtFV/cgDQ29k5D2Dcp49qHxcALl2z2fnljS5B1YIKNFpYFV7QlMMAIKpbSahMYXv2k44H0EVqXRAAUIdAMN+2rQ6Xi06tl8FVSzw0CQA+fLZUKFsQADBfl5czAFVH8TQA4EczV8kzeR7ALjceK8cdUcO5Hu2eGC8bfvzfDgHrwqlDD6ggfe44xZzrJ/PXSc/Xvkg67yAAiMKH+9okegDt9AKbz42/o1L7ufvPMNQpCJMOefx80WG7KPfq8MnLZNBoD8xFBYD6mCgFANqbHQQA4b2CokqHZz5OWjv9DAojGM8HgMn5kGE3Jp4zt/eeJKs2/GqaQQ4PxW5xLQ4AjFtpb5ODBwLA5T/Isjzt9kwB4OODZspnX23wh9Jrr3NgswoAI+hXx7kuQycukdfGJIaAs51nGGc+dltbUQpsARecmMsBzAHADHZVXAC4ZPVm55e3awp97mgmhx7grsILBoC7nPqfaI/ihjYPe3QqeNFRZB7//lsDwJ+2CnLZaDe2PFwuOT17APDfb86WybPzhdjT1WBOtY20Lu+eAoA3PTFBvvvxdzPc/2oOIPLFmDZxyP7lpe+dp5rzAQkzig9so2Sa7QE8pfF+0qHNMQnNkwFgoswgvc/wjIG6BdrXJYsXEeTXxQWAwyYtlVc+WGjG1+kdYR7A4ZOXyqDR3jFRAOBTQ+bIxFmeN1t7/PVJAwAed0R1U9EcZmH0QgRgoI15pWtiQUxYn9iDt/aaKGu+9xSPqKqS6t6xf48DAOMWWtmV4a65IQXl62/zAWCm1FRJAFBxe+p9fOax+8sdrRvHXS4TrrargKPoV8cZyBUC/jsBQBvY5wCgd3VzADDOLrfaFiQA7HV7MzmsbjwAaJNd6ukitHldt3HmT/9LAFDnwGDuN7ZsIJecfnAGVy3x0L5vzpYpCgCiwhOVntk2FwBEYU6JYkViD6U55R688Vg5PsADuKcAoM2dFjfsFrYA+qOpXq1y0i+vaCAIAJIw2a5SjwIAbToP7j2E6VGVD/m04sUKy7s9WhoVEuZtRflY0x4SDQA1LQrWQfelQWOUClDtzQ4CgADIxzaoJp0sWhD7GoQVFyUBQKuKNeh6AgDCi0rJy5qV95WBnVrE3v9xAGDcNAu7MMg1OVDyfP3tj7I8zwMIac3zM6Cm6v7yTJn5tfIAKgCoi+3SBoCOEPDeBgBt1R+oubQ6cb9cFXCuCjj288c/oCABIJLdkfQex8IA4Ctdz/LpBJDrxBAi+k/HA+gitS6IELAmAsZcbzi/gVx6RvYAoK1jinWqVK5knGWP1Fbr8vIAUHWUKJ4ZAIRGLUJ6LrupxwRBDlHYNY40+RSN7OKjuGG3sO4XrfzJD1ceWLOc9L/Xqxr9eO466TU42QMYCAAb7Scdrk30AGqZOfRpJ/Mz/6pk8cLy7H1nGE80vIGo3tYAMIwzj+f29vjFMnisp5Wqq4bDAKAGjVEqQPXHDDStr+oyJmlpsT5NG1QzpNZhFpZaQABGTkSbxiQMAOo9SVWVuHswDgCMe4/ZXmHX3FCRDQDIYpZsA0DtfdW51tBwvvPKNDyADgA4oOMZUqtqmbhLH9j+7x4Ctj27OQDoXcqcBzCDWyAuAFy86ie57+nk3BvXFEB3AdqLOGaznetjwcrOYoo7rmjkV5GGgQNN2WCDRBepdUEAQJ0Ejbled95hcnnzQ+IsS2jb3oO/kGlz1/ltCgwAKl1eDoZQIkKKcW3cZyvl2aFeFXfnG5rKCUfWdHbRvscEWb8HAKDNnRY37BZ2/gtX/OiHK+vUKGvokWDT5q6V3oNnJx1KwmSbpgjcd/dbANAuMLJzuSgnh7w/FIFAW7lI4X3kvV6tEgBgFG/9Wx8tljfHeQBQF3jd9/Q0n1AYv/W+o5nUz0v9SACAJ9QxfHNhpj9m3nrsXLnqoXwNbR4HAHhM/WrSZWA4AAz7sPABYPmSMuihsxLC4WHzwzNEV6ZTVSXu/o8DAJELWapE0chD2B8FrgNRkb3w25/k2/VeNXOm5PSPvTRTPl+Y7wHU3J76Q9ulZhPlxFwh4HSEBsLGcgHAbFPNRDnXoDY25ycI41udlPMA5gBgBruqIAGglgOKOsUwDitwMjGXLhsA0MVpWBAAUCtBFAgAfP0LmTYvHwDihVa5fAF4AB0AMO7LiftAA8BO1zcVVHW6bE8BQHvfxQ27he3vr5b/4Icr969eRp7r4BUNBALAPMLkKADQLjCyc7mYf1W6ZFFTBHL9I+MEFcEj+lyYAADDSJN5bm+MXSRDxi9OBoD9p/mEwjYA1HlVUShAequ9HAQAkb+G+xS6xmH2wPVN5aSAfZUJANTqNLjPcL/FtTgAEJ5QXL+oBt5MnXPsBIAn1ZWvV/woK9Z71cyZktM/+tJnMmvh9/5QGgDqHNgcAIx6FZPb2aH9HAD01igHANPfUxIXAC5a9ZN0iOgB1FxQUacYBgCRkIscJhj4zvq/Pc/vNp0QsH4wsaOCAIC2pitUHqD2kC2zdTgLSr9S6/Jy7ukCwLGfrvR5HMNe1Dc/OUHWbSr4ELDNsRU37BZ2LRcs2+SHK2tVLS0DOjY3zafOWSt93kj2AJIwWfMHoj3Ijzte1zRhKPtlb3tyCCLB/YciEObQIscRIWBWbkZJ1wBJLgAdTMu93WcDQCXBpsPGUSpA9V7WVf/6pOEhbXxIVXnkv5+F3kLwlsJr6jICsCoVSgruF5vGJKhjPGd0KgRVVeLey3EAYFxpRzvlxDU35GMuXPGTT2eTKQDEtfjiGzcA1DmwLjWbKGsH3eLOAxKl4PaEBzDbVDNRzjWojU35hHfIhTkPYA4AZrKpYgNAlc+UatxHVCJwqrb8XYvX28cMfKC5tH9yovlzNjyALkqbggCAtqRXm3PqS+szD426JCnb2TqcBaVfqT0fnBQS9feN4Z3gcQkA8LqmhtjXZTrhviCrgG3utHSBresc5i/Z5Icr96uyr7zwgFc0MGXOWunrAIDky7MBINboAQsA2gVG9ouc+VcgBgcRNKvoR/RuZcKeBIBhqhk8p9fGLJShE5eaf2reQC2Nht90PiE8hvAcwqIAQJ2LB+DT5uEP5a98ZinTDyTloKn86EszQ++NDm2ayCmNaznbEIAxhBsHAGo+TKqqpLxJrQZxAGBcaUc74uCaG/Ixv1EAMFN1IhsA6gIc7TRwqdlEWTv9EcX26UiNho3lCgH/nQCgnduZA4De1cx5AKPcQQFtChIAhmm8Bk3Z1jvU7ZD0e0vPSeZP2QCALkqbggCANp3HNefUF5TwZ8vsBPaCki9yAcC44Sme84efrvSl/Dped4yc3NDtqdlTANCmWEj3vFzXdM7ijX64skalfeU/ncMBIOlSbKJyFwC0vT32i5z5V1C8QA4geTSR44h9w8rNKPm6r4z+WoZNXpYEAO95aqqvKIEfdT6hzhs867gDBMVbYaaBGAAg9Kc1tyiOhYe0Yb3K0n3Q56F93Xv10XJak9pZB4BaE7tc6WIy+JFzY9/KcQBgXFon+4MTIX9Fz2rmCt1f5KaSz7DdhUdIqwzUibq9+KnMXrTRXwcNAHUOrIvLMsri/Z8BwCxzDUY516A2NgCEZORFJ9fKVQHnqoDT31ZxASC+Gu9/NloRyEMhCg/pAEB88d3We7I5NBtVwHsKANp0HlefXV/A4p4ts70XBSVfpHV5OXfkaZUuVSz2qWgAGBaqu6XnRFm70eNcK0gPoF1hFzfsFrYACI0xXFm1YikBQIdNmb1G+r45J+lQ0qXYROXIZ0O4XJsNAG2ZQaY5oNoVAJBKOshxBAchAWCYbBrHg6Qb1EBgmjjaBoA6nxBFIwCBsCgUIJpPDp6vGx79SFChrQ0FDEfVqyxPvJKso6zb3X1VYznjmP3DAWDe9bB57IKuJ/bgNV0/FFBywKiqEvcGiAMA4xZ12c8bm6Afc4U39puVP8nqPELrTAHgwy9+KnMUANTyjqg2hl40zEVlFGXt5i/dJF1eSCz6QUrDAdXLRjk8Upt3Jy2VV/N4LnkAok41q5SOdHxBN7ILvnIA0FvxnAcwg51XkAAwjN8taMphOpaonoQMEywbPIB7CgDayVjhnGoAACAASURBVPwAfwCB2bI9BQB19SPnnjYAnLFCnh+2wHQTBgA16W5BAkA7wTpu2C3sWs5auMEPVzLnDO0nz14j/3YAQHhnUC1rA8ATj6ohna4/NmEoGwDaMoPc4xgXxSdXdP7AHA/+RlTcEgBGKdj674ivZMS0ZACoK+3RtwaAunAkCgDUfHK4Bqha1vKS6B8A8IiDKhsPZpjd2bqxtDg2HABWq1hK8MEUBwBe/dAY+XXrn2ZopD8gDSKuxQGAcXN67dQBqMDsslyANgDMVJ88CQCqj3+dv3eKg8ooytrpNAq2R0rDATWyBwBdIeBscw1GOdegNnbBVw4A5gBgJvvJHBsXAGp3fqrBw6o70wGAkJ+6o++UrAFAF6VNQYSA7Qcywr8IA2fL7JdXQbHXa1k2zh2J+mXS8QBqANjmGGnW2B0C3lMA0A6vxA27hV3LmV9954crqTwRBgBZLRsFANoUQ7bMIPOvAHTgMbm8kwcAkePY9405PnVHmG4uz+0/738poz7+1vxTewDv7jfFlxTDb7qgZPDYb+Tt8V7hSBQAqKtJAQD/0X28gBtUG3IkGxxYyamiotvZusj6NwIwAkCbyDjoeuIj5MoHP5Dft+00TaiqEvdejgMA43r07X1TpHChJC8qwvHwACI9BZapPjkqspHqQNPRH+29cxUyRVm7HAAUsQu+LjvjYLm4WS4EnPMARrmDAtrEBYDanZ9qWCSsByX3pwMAQT57V7+peQCwoc8jR1oLV59hPICuiuaCAID2AxkEnm3OOSzV8kX+3X557UkAmG6odMyMFTIgzwMYlqx/a69J/kuqID2ANnda3LBb2MWC2ga8tDDk4r368Dnmvyd9sUagfGEbiyXsfQOybHDbabMT/m2ZQaZs1Ki8r1ECuaTjaHM4vFbwPpK7LUrF/sDhC2T09BXmeK32EQYAdeVwFBJgXUzwerdz5KYe4+WP7YkAEDmSDepWdHIo6rWBXvjZx9dxXhoCMBI5xwGAV3Qe7c+JqiqRb9a8hnEAYNz72eY3BfG37UUFGMfzj5J2mQLArgNnyNwlm/xl0CTccxdvlK55lD2uPNYoazdvyUZ5aGAi7Q8iQuDVzJa5QsDZJpvOZK62tz8HAL3VzAHADHZVQQLA+0M8O0FTtqsxdTtUHt7z1DTzJ0hePfeuRySMEAeUG1wWCgAdFc17BAC2OETanJs9AGiTsBYUeamWZeNapxsq1QDwvmuayKlHu6s19xQAtL+u44bdwm7B6QvW++HK8qWLy+uPEACuln5vzQ0EgLZSjRMAbvrNr4xHR7bMID/YUH2MEPBF948y48FzC/BJ7rZHbjpBjj60auiT5Plh8+XDGStNG032fFe/Kb6kGH7THkBdOdy8aW2568qjQ8fQoURIP0K7GIVh2pAjeVidis78Sd3OVkXRv2UCAC/rNFq27/BAabEihWRYzwtiP4HjAMC4eWg2uwFkAG0vKsA4ACDza23PcdwTemjgDJmnAKBO/5m96Hvp9qJH2ePKY40ylgaRbI+IUN2a5aIcHqnN/xoAvPT0enLJKbVzRSC5IpBI+9vZqCAB4L3XNJHTAl7sQTP+7Y8/nfJPaA+vA1VINABEiANVjXEBoKugpSAAoP0iR+7Gdec1SP+iWUfaJKwFRV2gJbA4hXQB4AfTV8gLw70cwLB9clvvSX6iekF6AO2v67hht7CLqTV/ES4H+IJN+sINABkqjQIAbY5JW2aQ+Ve1q5U2UnAXdhhpxsZ16//23HwAGIGy6dmh8wQazjANAO/89xRfUgy/BQHAKCTAGkgAAN7y5EQ/3Mo1BoVJ/QMqOMGzvg5h8mYEYKzKjuMBvKTjKN+jRlWVuDdzHAAYl+/OTm0pUaywbMsDrJwnwPiilZt9TeN/XHC4QGM5XXvohRkyb2m+B1ADQF0E5fqIiTLm/xUAjLv2Uc4l3TZ2ukcOAHormfMApruj0sgB1KoGqYa95+qj5fQAGoZ0ACD4xTo841UgI0n++TwPYNhXeJgH0JXPWBAA0FYcyTYAtDm44noMUl1H/u4CgAjTgQstriUAwBC6jtt7T/KpKgoSANqh1Lhht7Dz14ofUHQAxQxs4qzV8tSQZA8gAaAdyjv+iOry4I3HJQxlU37YMoPMvzqgehlTBUzgAXD19NvzfPLeKJRN0N7+aGYeAFRkzzYA1JyCmjomCgDs8sJ0mb/0B3OOyMOEBxgfhdpQJHPI/hUMgA2zMHJjHwBW3lfgMbe96EH9Yg9efP9I2bnLIydEhS04FeNaHAAYl+9Oa09jXtCBtsPouBYAiiRZzxQA6uuGMbUM3+dfb5DHXvY4G9MFgJpKiWudbQ/gsElL5RWrCvjvBAAp68jzzwFAbyVyADDu00e1j+sBjAMA77qysTRv6q7CC5ryb1t3OPU/0R6eBdIJILzDKtKwPJwwAOjKZywQALhmi2AeNORuXH9+9jyANgdXQVWuaVk2nguARIUyJWLvwA8++VZeeO9Lc1zYh8KeAoA2kMomiNZ0L6VKFJG3Hz/fnPeEz1c7QQxz5WwAeNzh1aXLPxIBoM0xaQNAek6oQXzhfSMMJxxyHKHFTPWGKACw/5C5MmHWajN3zfV3Z98pvqYsfgsCgFFUIDo/P12g+wp79eGz5fbekwUcjdpQJHNw7fICQBpmYZWtmQBAriHHTufDJA4AjJvrZj/XsOe25hWtcM64FotXbfZ1tu3c0bg39IMDpsuCZd51g2l9b50D6/qIiTIWKGaQHqCt/z2nyYH7ZS8E/HcHgLa3PwcAvd2QA4BR7qCANnEBoEuUO2h4kDWfedwBsWZnE/Lqg0FWixcETANAfOG+80RL5zh/BwBo5+Tgxr2h5eGx1iWssU3BUFCJy1qWjfNJt1p29CffysA8AHj3VUcLPBIuA+0PCJFh6bxooy6yzZ2WzS9/HepFOG5oD2+vBgFAespsz3EUAGjLDDL/Ci9KvDDpvUKOI3L6CAA1cW/QmiFnEIUrMA0A7+g72deUxW+aVHrQqK9l+BSPPDqKCgQ+8ABgYACA6Pvn3xIBIIpk6tUq7+cAB803zKtFAFaz8r4ysFMLsdMogvqEhF6r+7wwOg0eQHgC41gcABgX6NjPaFDVILdaG64FACDCijA7dzTOuaBtGACcsWC99Mij7HHt4Shj/V8BwLje1yjnkm4b+yP1ktPqyaWn5nIAcwAw3R2VRgjYpckYNDy4+vCwjmNhABBktQ8O8MhAIXrPHDLtVbHH+jsAQJtvEDfujRdkDwDaFXg5ABhnx3ltbaqebD74NdBDQj5ImGETPl+VoGfNWWcCAG2ZQeZf1atd3uj3XtpxlOzYuduQUQ8YvsAHgFFI2/u+OVumzF5rpqm5/sIAoCaPjgIA73/mY0NPAoOXElX/W37dnnBB8Uw5aL9yfgQg6GqHgRoCMErzRQWAAHvMo+S47/e6QAoXLhRr08UBgP3uPtUA3qhmq2Yg7cAOo0ORY8maggOAmgLsk/nrpOdrX5jpH9uguoAkOq7pQhIeC1aIg2KsS6oxXR7AbD4HUo2f6nfb258DgN6K5QBgqp0T8ntsD6BDlDuoe+TpIV8njoFhH0z7Lnus/Qk+FQDye8BLBgsjYw0DgK5wdkGEgO2kbCRbwzuRLbMr8LLpvdJz1LJs/Du8NBXLxg8Bg0+O1y9MsWFPeQBtypW4Ybewa4m8OYYrdcHS+Jmr5GlHGJOhUqp4sG/Xy9P2XNoyg8y/OmT/8tL3zlOFFazIccQHFOW7NG1H0Ln0HvyFTJu7zvysCz30NcJvT9xykhxZr7JplwAAj65lCn7C7L6npxnPFAwAECojP/2SDADr1ijrpxAE9WeHw3U7GwDaebRBfaLY7OK8Smq2Gd6zpRQtUjjW7RwHAGrOxSiD2JQpUCshcTWPhyLH0tVb5LsfPQ+gXTwUZRzdRofu8Xco1qDiF/bx3HXSa7AHAJs2qCZd2x4ft3vzoUI1HR4cFxinGtQFALOtNpJqDmG/2/c63iOX5TyAezcAHDBggOB/K1d69AyHH364dO3aVc49N5o+ZVwA6NJkDNq08NKBsyuO2ZJc+thH2p3g54GAtwovF1iYHFMYAHSFswsCANp8gxedepAhXs2W2RV4BQUAtSwb554uX54GgGG5otq7VJAhYDvcGjfsFnYtx3660g9X6qKBIACIynkApSgA0FaZsWUGmX+Fqtned5xilEBAq4IcRwBwAsAoqj09X5sln8xfb041KgDU6iFRdGC1rBz21r39p8mPP29LWF6QGB9Qo4y8+L53/wdZm3PrS+sWbsnFfABYWpAzGxUAwnt76QMelyINqiolihWJdTvHAYC64jrKIHa4FJXndh4lFDngAdzw41bTZaYAsNPzn8hXy73QPUwDwClz1krfN2abvx9zWDVBvmlcywFAEftezwFAbxft1R7AUaNGSeHChaVePa+E/9VXX5XevXvL3LlzDRhMZXEBoEuTMWiM9hcfKS1PPjDVFBJ+DwOAeHDwKxBJy4NGf22OLbtvMQEhsctCAaDDm1kQANCmm7nwlIMECerZMjv/pqDCFtkEgCM/Xu6/wMMku3SBQUECQDtPM5vehQ+V6sk++4iM7HOhufTaM6j3AoGSPSeX98QOXdsyg8y/Am9er381M1rAyAdDmsCLI77y9Vt10n7QvoT0GjgNYWEAUOsKvzjiSxk5zVMPiaIDq0mlBz10lqn6B0m3NlRJQwIM4DLMbG+obksAVqtqaRnQMToABNijmgr7e+eJ840iSByLAwB1vmWUMWywVK50saQ8ymYAgKs3y/c/eQAQRWkoTkvXdO4m+tAiAJrwvEn9qtKt3Qmxh3ECwLtOFaQ2ZMuGT14qg0YvTOgu23JzmcwVudCUQkU/cCRcftr+OR7AHA9g4raqWLGiAYFt27ZNud8KEgCmIzAeBgCROwK6Bj6wKNytyXXtEw4DgC5vZkEAQJtuptUpB0q7C49MeW2iNrABYEGFLbQsG+eGl3Tl8iWjTtVvlwgAG0mLY925onsKANph+rhht7AF0BXPaIdCgn322cdw6oFbzzYCJRsAurwn9kvBlhlk/tXhB1YyoI06tvhIeGnU1z4AjCLbqDWndaWvrtTGuWgAqOXjoujA6uuNQpUHnvtYNm5OBoC1q5WRl0d5H4BBFqa5nS4AhIRe6wfHJAwJVRWkocSxOABQg+0oY0Ddhc9JtAdNk51HCUWOpWu2GHkxWFi4PMqYNgDseN0xcnJDT95R0x2l+3zVetqcD3Ja9yYAaKep5ACgtxP2ag+gvjl37dolQ4cOleuvv954ABs0SE01EhUAQogeLmc8MHoP9tz5qSwdeaEwAIgw1eODPEktPNzf+mix+e8KZYrLa908dQXbwgDg5NlrjByWtnQfUEFrsXv3XzLy42/9cDXa4UWOpPu4lYNBY7R5+MOEL3z9Ak51jfg7tHBLlSga6snQqhw8jooZOM/l67aYfMBK5VIDwpHTlhsPFMyuFt+67U9DXIu+NMccvLz4DQbQiXy6TAxVdX/9JQIwYXOnaakzjoGxoQBRIUbOIxQYUD3L0Cn6gmoN1GuCACByp25o2UCQD4sQKA2VvN1vPlH+2LZTqlYsZf5svxRAIXPrZUfJ5l+2mzbkWzyqXmV5/JaThHsFAPeNsYt8/Vbk6zY+pIpUr7SvCRGDgqZE8SKm2AJgFabJksMAIOZ4xEGVzbMCQH/0J558HLxO9197TOAl++uvvxIqbLG3EFqkl4oHAsw2PaxaEmeb3TE8hcgVxl6CHJoGaQRgIMh+/v7mYlMpBU0SBNptHh6b8DPWErQ0XCf9I2itdu3+S8qVLi4bN28VfKyiECgOANRV1VH2u9aeRns8HzdbhTTYY/jAILjGWkE72XUOqcbE+f3jsY/kp1/yQ/UAlPAooj+d6gC1GajOxDUXAIQy1MG1K8TtKrD98MnL/KgSG2UzFzjORHft2i2btvxh7kdaDgC6V3CvB4BffvmlnHDCCbJt2zYpXbq0vPnmm3LeeR7ZrG3bt28X/I8GAFi7dm35+eefpWzZZF3FOA8qe6x0uKXwpXptt8QHLPtFmOqJV2YlnROAAooRXBYEADdt/kP+0f2jpEOyDQDfHr9YBo9dlDQOimPw0s3UPvvqOx8U677gqQCgi2IAfzc8+pGk0jV1AcCXupwpVSuUEoZPgBVADo0XXphpAIgXD/K6aORZQz/d/vtpgswY29CjFeX8XG10/mf39idKkSKFfI5JtHeF3XgvxFE/cSlMDO95gQEk4z5b6etZu+aIKj9SqNi/c372SwHtkBIB8IjcsQ5Pe8TpDQ+uLN1vPskUWOE3gMNaVUr7AJD9Q5YP+ZmLV3uFGDqPV1fKalCi1VpwDAAg+AJRMaxlyE5uWFM6Xtc08JLZIXHsLXi3maemD4QCB8mYo+4BnUKQDwDLCHJmowJAEBkjr9I2V7oLgNFFecorAIkA89BkBvF0nOcq1rPhwVWinqZ8+uX6hOckno8anKEjnAfyXvEcpNkUQlEH1J5hfQwJ7/U+b3RIFXms/YlRu/bb2V5N/JBNLz36+zsBwIf/86m5N3Vurq0MlPMAettjrweAO3bskNWrV8uWLVtk2LBh8t///lemTp3q9AB269ZNHnnkkaQbMBMAiJy2EdOWJ/WZTl7J5l+3yXXdxpm+jjyosuzavVsWrvBoIZBX8uRryQCwSoWSAm+By4IAoM5L0cdlGwBq7jS+mDleNnLa3puyzA+FwauElw4sThGDlioLm5P9osc4oBMBmNAyYVHGxn5hDpdNF8SXI3I+B4/9xgkAMXYm66fBBmQF96ta2ueYRN+usBvnhWIk7JMo5gLN7z7ZUooXLSy6OAReyN//2JFQ8QoPMTyrLoMc2q2XNjQSbPCSugygmsod5Frs9foXgusND2rtqqVlrtJvRR8H1SpnPHesGtUFSxok6Upf+xwBqLsM9OiatCHsiHs4yJDSAT1WGvbWgy+4AWCUtbfbhAFAzaWp7yO7DxTTLFq1WfarUtqXUUMbVyHatu075fLOH5guQIFDCh3MA8DQ8wwWMx9q5ONzndejN50gjVPoNOvjtPY0/l65XAn5wSqkAQBECNjOr0znngoDs+jvw09X+qpNjQ6uIo/dnAYAVGoiPNc9AQCzrTYSdd9yTem5x3F2URjeu1ecnssB3OsBoL2pWrRoIQcddJAMHDgwab9l2wOIhyU8Ilc9lEzdkk5eiQaAfBgxcf3+Nsf4dAL6xPAyQy6ay/4uABCcZJBjGjLeC1vD0nnY2udIAIgXDMTYmesT58E1ff56H1iHzcnO9cJcChoAvjH2G1m29mfntc1k/XT4FZ5Y8MGRYxKDZQsAsnBGFzANfeJ8E14lAKQ6gpbHwxzCgAiq6+GdIwCElwdeMZ0vh3AwlTsIOplXGAQAEWbetNkNAOmVwNz+fwGA+1cvI891OMOwC6B6FpREr4xemBQy5QY8dP8KxjuKFA7KmwUBQITSUXUNA7cjSbQ1AESl87sTl8ro6V6YHB50pCVoi/PBgeOSAGD5kj7QA181vin2JADU+5qe6KhAiO20nNzeCgBtPtkcAPR2Qg4AWndT8+bNTVj3lVdeSXmfRc0BDOoIXoq3Hjs3KTEa7W1S2pSTEZHNv2yT6x4ZZx6ErJa8qssYQ2SK8FSfPDoB3Re+cAd1jRcCDvQAppmjEnRu/35ztkyevdbw/uGFwLzFbAFAhi0AACH7RdWEOABQM/XHBYD/ffBMqVaxlOG5o7cpCkHr+1OX+3mRt1/eUM4+Pp8vkl+/3drBA7jIfPm6LDMAmB9+haoMQnMPDcyXmtI5bhw7HQ8g5fM0hyXD8/SMEACOmbFCBgxb4J9qWJiz5cl1pf3FR5lcPZAlAwAirKzz5TToIFedDwDLlZBa1cqYjwZtB9YsZ3LVSBysK9Y13ZDOM7WLg/S56r6RdwZ6kCDTusFog72FELCdAxjlOZJqv/BaUiOZ4BYAEJWgdtEE+0PRAfYjlFMezStIw28uDyByRlkwosE49i3IpOHdtQGgy+sbRaZPn6/+oMPfESFhqJd7CnsO52F7BtO5p1J5ALXqj/ZoxbmOdl4jjnXl6cbp027rCgHHeY5mMrZ9LNcUUTCkW8BsOjEUE7Y+/YBcFfDeXAXcuXNnw/kHwPfrr7/KkCFD5Mknn5SxY8fKmWeemXJPZgMAogqOX7p6wKvPOlSuOrt+yjnoBshVuf6RcYIv1RF5dBlXP/Sh4bGCZqxdtIFjswkAkQj/aBo5KkEnCf4r8GC1bQUAuEveHJefD5jOwzb5oeVRF4A8+ItvNvp8X3HoC3TOUNicbMJfzAWEwkhUfvrtuTL+c08nNgqFigaACMFC35Wmgdbr8AAWAADUYSl40mpU2jdBa1R7uFzzihoCbvfEeJPDpmUM8cFUulQxIT0MvDGdbzg2IVSGMcMAYKtmB0q7i440eVx395sqlcp5AFDny4FOZupcT7mDeYcMI6F97aplZN7SZAD4/eatvnSYrljX1eY6L82mB0LIsut/EnVbMQcUknW6/tjA54ENALG3Hnxhhl+pGutB4mjsCgETAFJNB6Hyl0d9lUSbwu7gIYXXFR8noKSity4VANTheAMA8zSZkbs8dOISv1AGhU07d+1OmH0UlRZ9gFbewN+RosFqX+ZkQpINe8fmWEznmZQKAOp8Xw1o4lxPV67z3gYAk9gkmh0orc/IAcC92gMIqpeJEyfKd999Z74EjjrqKOnYsWMk8IcbMBsAEDxYl1nkqOjbpqSIcsO7ACAT10EY/NSQuUnd4GX2SpY8gOnmqASdW5/Bs81LGBXR23bsNJWXtHQetvY4ZK+HtwdhEnpu4lDB6IdrugCw/5C5frgxCj3D+1OXyUsjPRoPWzFGA0DkACJXyWWZrJ/m5rv54iOlWqV9E5QGXJXU6XgA2z4+3rx8UbRx/7NeQQaqmZEPagNAnRPoAcBkMMB1IDAjoMNHENQoqOyAdqBdmTbPU+6AggX6I2CEx3B/eABdAPCn3+X3bTvNcQSa+G9N9psOACTQDbpXtG4w2uwJAFinRllBpScBID4yQTBtEydzznVrljW6xwC5yIlkimYqAAj5OqQdwDQAhJb20ElLTeENTBfNcMwoJN16TXVOL/4ODz29qNBNx4coACDuK7s4JJ17KhUA1Pf6EQdVkh63nhzlVZDQxgUA4xJkpxpU51OzbZR85lT9pvO7ywMIjWzQ7fjPgBwANEuxVwPAdDaXPiZjALiPyLtPXiCXdByVNJUrWhwiqCyLY6xI1YoJpK64s3Ujp3ZqOlXAQSHgdHNUgs6R8lngREQIWFcEp/OwtcdB0jyS5wEAZ369wffcxCGD1vk1cQEgKhoRPn1qyByZOGuNmV4UeoYEAHjpUXLuifmKMRpovTHuG1myOvsAUIdbUcEJL4nmTnNVXqYDAG987COTf8UqUKwPqpvBzcY5EBjZVcHw6P25M9EbxOvP4gyd01esSCFZ/4Mn7QVD0QXCgTBSz+SHjIsb+pv5S39I2FIAOAALW/MA4AXNDjRUKrCOz37sF2Sh0KPhIV5lqi0RCJoPhFRtSwUAweuHlzDNAMAB05N4AOM8T3RblweQAJByih4A/DJJOo39wGO4asOvgvPvCgCYhwBTAUB4uAHwYZhHq/tGGO8hACDuYVBFwUoUK2xoa7RF4WjU7bX0Gv4O7zY/DECFAyJwyAouW7s5SWYvnWdSKgCoQ6vpVu9T0UafZ+9/NZP6dSqmux2Sjvs7AkANmL+0hAtwb16Z8wDmAGAmd0A2ACDCSxdZ+piYE2kA4syPABAJ8Hhpwa59eKxs+W274amipqruM5sAMN0claBzZNVlu4vyAOCH2fUAInz02phvpHnT2oaegi/uOHJwmmIhLgAc2Km51Kxc2nDdMck9SnWeftjeculRcp4LAN50gqAIpCAAoCZnxrWpVqGUdM/jmMS1RB5bo0MSK33TAYA3PDrOhNkQFofMGV/64BIkAGRo1OYFjAIAmRiOPC8AwHWb8gGgpiwZ0buV4Z1k0Qi44VAA4QKACCPjYwXGXEP89/3PfCzfrPQq8hMB4ISEcYMAIHMdg+4VrRuMNv8XAPDeq482GsMASS4DaF7z/a+mCAagkVX3LgCIPlDABkPV9oczHACwWx4AzFNLgaII157ja1WNKM/SaXPXJnC11qy8r/9hQCYCqMrAe2zzAxYEAORHKubeoG5F6Xl7syinkdDGprbBj3sCAEbJZ459MhEO4LNGA0BbhSsHAL2FzHkAI2yooCbZAIAAaq3uG5k0xKWn15MbWqaWo9MHugDgdd3GmgcVcsWee3d+0jgVyxaXVx+ORwQd5AHMNgCkfqpHSLvTgDVaOg9b++QJAJFkjuo/vjwg9VWraplIO0PLLIXNSevysmNoytasUlpY7IK/xwWAtma0D7RuOkHeHLvI56SzTyaT9dOJ6fDOAkBpjkkX9UY6AJB7F6EkAEAABuonszqSANDWBgag2xHgAQRH4I0XHG7kvMAvV7VCSRMCXrfpN3+ZEOaDVxhG9RHyBsIDiRDwgmXJHsANP/5uwoSwlifVlfaXHGX++77+0/xroQHyzU9aAFBpdutrhvl0+cdxgXvSBoDwLoMGRnPVRdrQAY24BviZ1xIez6fvPV1Y4GIA4PAFfgjc7or0LygSAgAkF6ELACIdAwVsMFRt43rDsG85/mvdzpZhk5b5NFr00OlxwX7QrLGnqhHFps5Zm1Ashwp3fhhQFQRk9EgHsItd0rmnUnkA35mwRF7/0HvuUZIwynnoNi4AGFciL9WYLg/g3wkAoshP59bi4+yq5nVyRSB7cxFIqk2d6vdMASCrdRnS0ONpDrFU8+DvCJchbIYE+Pd6eR7A6x8Za0IV8BTpKkkek44SSBAATDdHJej8wFuIMBzyzLZuzz4A5MMVTP7I/WH4CAL3eFlFsdmLvpduL35mmuqXpH2s1pGYjwAAIABJREFUlunibxyn75uzfZ6zKMnZOiyEtTlfaUYnAMBxi2TxKo+U2LZ0XlbsAzlXkCmDQZe5crmSCRyT8GJBtUBbOgCQ6QvIMwMAREiX5Nn0QrI6dsLnqxJSHFz5YJwPP64oYYcQdvGihWTN9/kAEF6eWQu/N4dwrXwAWNrzANoAECFRAEDuI9LNoA9NqaQBMiudOTfQloBWxbZUABC8kJpPFN5lUPPYXHVR9rSrDb2g+I3XElXP/e89LR8AXtPEcNbZXjj2h3QHcPb1vP1kMzcWbDgB4NYdPj0WXtZURNEAEOkAwyYvFRRFwcqUKpaUf3jvNU3ktKNrRT5tFJ2h+IwGveO1G719gXxpeKQNAFyzxURWtKVzT6UCgJoMHzyKve84JfK5sKFmKuDfcA0a1K0Uu6+gA1xVwFEK2rI2AdUR11SHzPVzGk1zANBbsJwHMIMdmCkA5MuFtAZ6KppCIuoUqdCBhHUkrsNQFYxkZQAFhGdsyyYATDdHJej8erz6ucxY8J3hbMNLhfrFXLeo6xLUTgPAqXPXCaTHYHEAIBjnmbPFXDHXeGEAkMUuOC5bABAg440CAoC6MhEV2pCvQ7iehirPJvWrJSxDOgCQFezIybz7qWnm+pA6xweAeQTJEz5fLf3fzi9ygjILpOdcxvQKAkAk+gMwIjxJQ6UyuO00pRK1gyFJFhcA3tVvik/KrQHgTT0mJBAZY+34QaHn/ncGgF1emG7C4QBbzw2dl5SHx/OoXqmUqbRGAULn56f7OZouAAjFFRSwwVC0MzIvzKsBIDhUESIlAAQxNKmcOCbyEk9vUjvyo8IGgJC744cBKWH2JAB8a9wieTNPtvPQAypInzQAoM1tiMXY2wCgjtTg/OGdv6pFzgOYA4CRHw3JDbMFAC++f1QSfYFOII86RRcAvPHRcYavCrlaqNCzDWENfEm7LC4RdLYBIGWS4L2EMgAoW2jpfG3b5/j2hMUy+MNFAg8gHvwsGogTAp63ZKPPgUe6ECcA/PcUk0OmjeOw2AW/RanOo3Qc2tsyWgRaCDOiahrKCy7LZP20Egk4GpFHqjkmXdxr6QBAkpgjJ/Pe/lNNaJWFMwxDUyFj0herpd9b+QDQVRDAdWCBFbnBAAABGFdvyAeAkN0Cz5+mVCIABNA4oHpZpwcQBQMEnuedWEduudSTLNQpANpDGhUAovDgobbBIeAXR3zpgySMh/QCFIHYXHVRnyV2O/1x43sA9ytnVHMIAME1+vQ78/wPKbsPhNpBto00B1Rk8n5zAUCta45oCEEevOxMmbEBoEu3F+wHzZvuH/m0p8xeI32VxjnzFtEBK4Kb1K9qQsA22EznnkrlAcQ9TAJ8EGn3uTO+B9AFAF1k7ZEXydFQP5P4cxRGg0zGDDrW5QG0ybBzANBbvRwAzGAHZgsAXtpxVFK+kg4fRZ0iSGjbdh9vOM0ARmCspASVCvKEbIM34/VHsgMA081RCTo/AkBQnfyxDQDQoz6BpfOwtcdheAU8YwAQzEmKUwQyf8kmX7qLihGu89EeIP7OcXq//oVPORIlOZv0NegH+ZH4WID99ddf/ssRAPDNcYv9wgN7Tpmsn+YhhGZ1hbLFEzgmswUAWz/4gSnMAZhBCBj0KvTOMgxNjVw7LYGUHa5r0frMQ6TNOYfJopU/SYdnPhZ4pkoUKyIAeDTksyLEqwuqVn33i9zeZ7KhoQEAhCayNlS5fvfjVh8AUXIObbQSjFanuOmJCQn0M1r1RPeNkHTXtscHPgpQfctqWDTCOgEA2lx1UZ8ldrv3e10ghQsXMn/mCxbSd0/dfZoZB2sFAAgvbFD1NWXVAAxQFc0czVQAUOs6IxSNiAkMAHDY5GV+9TNDtHrud1zRSM5UWtmpzn/y7DUJe5mVyziOBSHwDiMEDC+ltnTuqVQAEPl/iFTADq5dXv5916mpTiHpd5vcGg2yDQD1M4kTiMJoEPtkIhzANdVFM3YlNN6vV+c8gDkAGGE/BTbJFgC8vNPopLCJfnlEnSM408CdpgHgP7p/ZBLB4akBVYRtf2cA2P3lmSYRHwUsCAHr+afzsLXPHV/W+MIGzxiImElLEYcGZsGyTb4MGmXKXNfr7n5TkmTZCABZ7ILjoiRn64ctPLutmh1khsT8+XJEpSlCwKw8teeUyfrphO8bzm9gAKD2vsFTBY+VtnQ8gLwvUNEKwmYUBnDNCACbNdpP7r/2GLFf3GEAkByb36z4yfALguoDHkANAJHP+tXyHxPyaVdt+EVu7z3Z5Joh388JAH/43Qc2555Qx/A0wrTmrwaAJLvmWgUBQIQd8VuQISeTfHhok20ASC5E9B0EADu0aWIq2vkhZc8VnmKko8BrCODNlAsXANSylsjZBNCDaQAITkjcC8Pz6G8g0WfnPNpa2amepfaHBK4z9wXDwchvBQ+gzXeYzj2VCgBqjWcoqQA8xzWb3HpvBIB2HmQOAHq7KOcBjHs3qfbZAoD0dOipAJTg4RXHCABRATkszwNIMl28qF/5ID+Eyn4Rzhr8yLnOYeKGgNNNUg46RwJAyJ0h/Kc9mOk8bO1xIC0HdREDAGeu8olp4xBBAwQgnwlGmTLX+bgAIIEmi11wXJTcHE0NgSrcVqd4ABBVshfleUcKEgDqhO/rz28g5UsXSyjAcKkvpAMA6RlH3h88gPC48NqM/Hi5SWkgALRzt1yUILwuVNmhOgCKExAyBkkxDd6DhSt+MgTQzKddveEXuc0AwKJyQI2yBiBqg7cIXIL0gIG/Dh8vMM33p3MkswUAB763wC+UwHhIL0ChhU1WHOd5otvq9AZey3q1ykk/5QEEAITaEOld7LFYRQuJMABAhsqdADBP1hJ9aACIUDT3OAAgQo8Eh1q1g2PbROmpzt9OJSB5NY6jNxCKRwgB/7o1ke4mnWeSBoDUGuYc0Z9WeOF6pzoH+3cXAHTJNcbtV7fXzyT+PQqjQSZjBh3r8gDaa4D0jGvOrJurAs5VAae/BbMFAJnrpGeCvLQ7WjeONTmQ0P7z8fEmoX3Yky3Nsfg3/n7deYcl0KiwY4Sz8CB1WVwAmG6OStBJglwYPHvgMIQHEJWO+uEYa3EcjZlgrYlm0SyOFNxXy3+QTnkAkDJlqdaSvxPMPPnqLENDA4sSmtEPW1ThomAItmvXbp9TEgDwzY8W+eTD9pzSeVmxD53vg31Vdt/i8uzQef4QXW48Vo47okbCkOkAQObGvtzlLAMAUXVJfVEWokCxo8O1x4hN31GqRBGf19E+92vOqW+UdqgOgNBeieJFEnI08TGD/En9MYUiEXjySpcsKnVqJgNAFIas3/S7n8+rP+J0rp8OkfP+5ByDPIDIO+vW7oTALT9w+AIZnUeVgkbwlCI3DwwA2TDqIes0A3qkGAIG5UqfN77wP6Tsccmjh30PWhxWS7sAIFWN0EcCAOyVz5v65mOeB5AAUJM2c2ybJinVWkyctTpBMYnydTgOVc/frv9ZkB+KEDCVgzJ5JmkAiHQDDZ5xj2p6H8wF3tO4Zqub4HjIK0JaLltGSi3d3/81ANQpSTa/Yw4Aelcq5wHM4A7IFgBktaOeCrjp7rwyHgAEBUW7JyYkAEB6GNqcW98UPLgeytkCgIfsX1763hk/RBF0CaAXiuot5PEAAL6YZQAI7x+8gAjVQd+WFkfEXEsMUabMdT4AMLYsG4Emcx1xXBQAqB+2yO1EkjwMnieqykCNA+cHL5bLMgGAGoBCrQYvds0xCW1eECnTNGjQ4c9Utx6r48H9h/UDmKG8lA8AG+8nHdocI/YDft8SRQL56NqcU19aKwAIrjcAwOVr84t0sJdBoq0/pggAwTeH0CCuvTYPAP7mh0A1ANSePg0A6aFnP13bHiePvjQzaWmQd4a1CzLw75ErD22yDQDxQYm10GkGBIDwgMMTDgDYa3B+Nbg9VwA9eM10UQ/auAAgOU3x+2VnHGyqfWHIRSRxPj64AP74myZt5th2kVSqPWdXk8PrtixvX/C/IXm5dO2WJMLrdO4pDQBt/Wr0p4t7SLuT6hzs3211E/y+twFAO0KAFKs2OQ9gDgDGvZl0+2wBQKp16L4hTwZx9ThGAIh8pnd7eB5Aeh6uPru+AQTJD+Vigi9pl8X1AKabpBx0jgSAkLEzFaB53HNon87D1h6HFXZaaQBt4gBALTJOmTLX+bgAIPjtACQ0AIwSmkkEgIfLRafWM0P+uXOXXNJxtPlvAECAWxukcG6ZrJ8eHx8WyInTHJOdb2gqJxxZ018GDRriAECf8Pfhsw0AREUrKwtZiXxKHgC0vRwuUmBOCKAVlcD03oLzETmDfNGjHV/2+l5au/FXuaXnJAG4rFOznBMArtv4m+/FQXERvNewtt0/8mXZ0gKAh1YVVA8H2YBh82VMnloG2gBkwTNnq1XEeZ7otixw0mkGvN99AHjtMQl0QPZYBOXIT0ROJ/kCXQCQnKboQwNAhOPhGYYBACL/b+hEDxxqzj6OrVMkopy7zScJkAtvHwwRjsWrNwskL/E3aj5nck9pAGir1+Ae1bmdJN6Och66jRMA3nKSHFlv7/EA2rmdOQDo7ZCcBzDu3aTaZwsAUvFAT+W0JrXk3qubxJodASDymYbmAUASzSLkRToB3anr4cvfgwFgIuUG26eboxJ0khCMn71oo9zZurFRAhmoeAwzATAcjwAQ4QD98owjYq4BILRJIVPmMtCY2LJsBICPD5opn33lqU5kAgCRVH/pA3sYAJ5T34RENcekrb+aDgDUXkNUe2IvopiJYSVWIp/auJbc16aJ2Dk+mJMdouN1Qdj68ub5ABDAAR5AvujRjuE+fS9BKQS5fEEAEJQh8AAyjKcBIKvx0Te8fE3zimQ0MMRvKKDRusqcMwoP4gBA5Jc++MKMJLWKWA8U1ZgAEOTNBGD0+Hd6/hOTD4liHM0HaY/FvExQ+aAqntKLrmcQKa3QB3gbCfLgieQef6v7eSYHkL/BA6upfHCs9pBHOXcbAALk0nOPkCKKqgoKANrk5XjGac8utZejnIduY3vH8dvjt5woR9Xz9KizYVqxhP1F4TTNxth2HwTVOgRsh/YR9WlzVi4HMAcAM9iB2QKA1DzVU6FnI870wLIPj59+aVFqqnWLQ+TtPDoB3Wc6ANAOk7A/0kLEmXNYWygigIz37qsaGxoYDTKyAQAHj/1G3h6/RGwAGEfCSIeAKVPmOictBcbf6WlksQv+HiU0oz1wqO6++DTPA7j9z11yWR4AxAMeNDAF4QHUD3vk0yHfTnNMPnB9U4FCB017jaJ6AHU+I0Lr8AAil5U8iQSAUHkAAbFNdREGAFEQdekZB5uwJbxXAIA4Bw3QWf0J0PLOE+ebUyEARNu6Dg8gqkQhG8Zqcp3HS0J29KMBIKv0uVZBABCFB4+2PzHwdnl+2HxfLxeNsg0Ah/Y431Dl6DQDGwB2vO4Y6flacAiY5Nyo6r7z3+EAkJRWOBd4a0mFgkr7yzt/YNZhSPfzjBIIAaCu2OVCgaboktO9+yOK2ZKC9PrhWPCc4n4CRRCKQAhg2W86zyTtAbTJy9Gfvq4oQnm2wxlRTiOhjZ0fix/3BgCoixLt65oDgN4WyQHA2LdT/gHZAoDaO8DeyW8WZ3oEgAhnvfOEFwK+pedEI2Wkv6J1n3hR4kvaZUEewI9mrpJn3slP+uex6SYpB51j14EzZO6STSYUDg+gDjOm87C1xxn84TcGFGutUbSJQ2CqASBlylznEwYAWeyC456IEJrRAEy/4ECWzZcj+kERiF2pmsnLisdqeSpU1JYsUTShQhtA4OSG+fqrGsxFBYAaaGB/AgBSRgwSVu9PXSYvjfzayHwBANo0D8w3c10LrtmXy36QzgOmC4BbqeJFE3STSfkBsPf24x4AhHev/ZMTBaAQ4Tg7v9IAwI2/+UUQGgBe222s743TNDkEgFAc+esvEVRQP/Zycg4gCg8eCwOA785PyGNFoUWXATOS5MriPE90W1Ic6TQDFn2B1Bn3QSoAyBAn7pM7+kz2Q6iuj1AWtGEO+uMVlfatH/Q0ggEAEQImOKTXVs8bVeoIIUc1+9kG9Q3KKZIbEv8Pr6AteZfOM0kDQJu8HP2huGrcZ6vM9OHhfC5LABApIg0Pzp4HkKT6ep2jkNpHvS5x2nFNNQAc99lKeXbofL8bFP5dm/MA5gBgnI1lt80WALQTwTEONU7jzG/9D79J+x7eC4pei1t7TTRSRrqSTveJXCk8SOMAQPtm4rHp5qgEnSME46HGADkngJvnhy3wm6bzsLXHIckqWOF1BWUcAlNdBUyZMicAfHpaki4vQ82PvvSZrzsb5cs8EQA2kEtO915weCFdkecdAQBEDqDNVce5ZbJ+5E9EX1cBABYvksDRiFAg6FloOmwYFQBqbyZe+gCA8K6xSIZchEyVsAXvXbqwnA+9puRwROgWQE/rJiMvEB4/hHuHEAD691dh4wF0AUB8bAHIwXQhF3WN8XdNk8OPP1KABALAg6vIYzcHewBRhDNWFTKhwOjBF6YnqVXEeZ7otnie4Drr60JpMgLAB65rmqAJbY9VqNA+xjsKTznodH7/w6NRcQFAprPgdxB3w1MPQ74yiuZg2BegJGJkQxdscGyG+6OeN8CWrmhn2BfHUx0G1bPL1m42ecnaXPfU7t27ZceORMJofQw+0Gm2B3BAx+by+piFMuPL70yT6pX2DeWCDDpHqGBoEn20u/OKxlK/bsWoy5Ky3ZjpK2TUJ98mtAMt0IH7lU95bLYbYE1xD9aoUkZ63OYpp6DIDzrVtBwA9FYi5wHMYPdlCwDaagCYEqooUU0Zx7SHIh8ATjIapwgT4qVpWzoA8MMZKxLAGPtMN0cl6BwfemGGzFu6yXh4AG70DZwJgOF4r41ZaMJHWmwev8WhL9A8gJQpc51Ph6enJcmyMdTMYhccF+XLXH9tM5yJY7du+9P3jhQkACR/IsZEbik8F5pjEtWgzRrnA0DtzYsKADWYhffpnv5TzYcMPaQEgKc3qSX3XN1EbKZ/Uo64rgXzwuYv3SRdXphhPCv7liiaQJoNbkB4HLWHXKdYAADaJNt2EULzprXlriu9Qq6rHxrj88YlAMA8qUZSgIBCp/ugz5Omjbyz7jefFPg40J4iNMo2ACTHJTzxl3fyQrBxASAn/+rDZ8ttvSb5OZpxACDyQds8PNZ0ZQDglGU+ONT5ehyLFd9Rn6P2xy35IHE89aFBEo58UdLYsG/7mQTgt2LFCgEIDDKEumn77LOPUfOhVa1QynBfYs1hhQsVEqidxDUcb6uWQAAAOYfZMoD537cl8iJWKFPCiBLsacOaYhnxwXFwnRpSvXp1k+ONfEoaKvSvO/vAHA9gjgcw/e2ZLQDIQg09k1Ti765ZEwDqsBUlqMAVh8pJ27SHw/4tKAT8wSffJuTj8bhsA0AtMYWHmHbhZxMAQkpNqyjESV5mGBFrQJky17VxAcB+d58q9WqVFxa74Djw9zU8JDw0owGgDnHhIQxOSRhyCYd8tDhJrzboZRXnLiB9Do5BeA6ei9fGfON3AUmwU4+u5f9bhw2jAkANZpH4Dw/gqg2/+utDMmoCwJlffZcAnMIAICtDKeOH3KpSFgAkqbAGJ7rKHuHGVABQV/Jf+eAHfshT8yRSq5sUIA/eeKw87gCACDs+fkt0AIgCI9w/9os/znXWbX0AqNIMGGKDrBu8ocj9BKdlKkO1PCITJFJ2AUBGM9CXLmBDodV1j4wzQ2BO701Znq+Vq8K1nANJv1PNib/Di6opjZj3h98hxzdr4fcmFxA5gCSydt1TAHKrV6+WP//8U2rWrCmFCrmBkFafoYdUP09/2LxVftvmAcCihQvJflVLRz0Vv93vW3fIpp+3JRxXrWJJKVm8aOy+gg4AR+eWXxM5JymxmLVBInbkrelfUuivnbJr+y9Svnx5+WLZHwksEjkA6C1mzgMYcVO5mmULADJPD2MwFJRK+9M1H12lyLDVv/pMNlJGNsjh8Ros2n0GAUDKcNnt081RCboEBIAIJSDcokMz2QCAlFlq1ezABB3VOLkrWgouTEP4/mc+TgIMzDVksQvWARq+jQ6pGrordQ6eDnGh6vWqPQAAtUA9EvSLFS2UwDEJjy1y82i6OjkqAPxt6w65Ki/UB+oP0IZgHz960wnS+NCqpvpz0OiFQpBli71D4ebn39yhN8rnzVuyUR4a+Kmh4sF9oEO6VSqUNFXHCCWTJknzbB60XzIAZNiY560BIELzzBkDyDs+jyibBWBQHEGoPF0AiJxc5K/RUGAEJRBbrizdxx3SRBAt0MCcVZYEgKj+7hEBAKKoB9XUnJsTAOblW2K+SDOA1xk26KGzjL45DFEOeIL5mw7X8jwp+xf1vO1QISUBcTw+yiFNCQCIHEBK2bFv/UwC8Fu2bJkBf+XKlQscXnOD2kTQ8GhizxEog5QcCjRxDR8ByKnUBu5LfPRky6A5bavOwCOOtIE9bVxTRCZKFdkhGzdulGWbisp/RuRLoeYAoHdVcgAwg92ZLQB4W+9JPn0BPQGpmP9d09Y8ZTYAtPPceHw6AJAcbPYckEsFEJQt0/xieHnqwpNsAEDKLLU65UAZOS0/f6X3v5pJ/TrR8mMYRsQ5h0nIuQAgcw0f/s+nMmfxRrNsBDhhaxgIABVoKkgPIKunMUcUFxUtUjiBY/Leq4+W05rU9k9B541FBYA//7bdD/VB/gsewG/X/SyUUUsCgAs3JNCnIMQFr4TLSA48d/FG6fofDwAC3OiKaYTa8FLTUom+0k6RQoKCJyiFaLOJiOmdRJvLOo32PUYaALI6GC/3HTt3m7QP8ELahrwzXNMge/rtuUbPmpZtAIhCHITDXQCQezsqAAR/H4pp6J10AUB+zOJ8NAB86cEzjd45DKkBAIBv5oFD7a3jOuADBbyPUc0GgCz8wPEnHlVDZiz4ThAWRggY10ubfiZt27bNhH/r1KkjJUuWDBw+DgBEOBV7Na7tzQCwctkisnLlSlm+qZAMHJHPgwuKpuvPyYWAcwAw7t2k2mcLANJLh67JBZWK9sE1bR8AqsKOO/pONhqnNtkxj9cFI3afQR5AVmDa7VEF+fz9zTNY0cRDdXUhaGCeVpXH2QSAdng8ih4vZ6oBYBiBtAsAMteQxS7oE1xv4HwLM12EQVJjtMeD/pquXoI8+ATRbv7SH5xdZbJ+LJ5Bx6iwhPdKc0yiahveL5rOG4sKABFOQuUsbGQfDwCCqJkUKpAAQ94hvWyzFm5IUNAIA4CUBwPoBvhG8RIAoK6Ypm4t+nn9kXPMPLTWtgsAMm+Q5625PKHQQo1grZTiA8CihY1HKQgAwhPV49aTA7eFGwBOT9KrTffmJADUaQb0AHJvgwD8iVdSh4ARugVdFT20LgBI1RXMVwNAUMhA7QhmAODU5f7Hh/bW8TyxP5EmEdXs/GYNAMHM8Mn89YLzRgiY15N9uwBg3bp1pUSJ4Ly9VAAQeafks8wmAKxZZV+T95otg3KLLTv4d/AAVilX1ADxpRv3kRdHel5kWA4AeuuQA4AZ3AHZAoB39p1iNCZhJEuF3FBY1Z9r2lqrlNQu4NuC58TWu+XxmjLG7jMIAGotWH0MQmDIg8uW6epCeAD7vz3X7zoTAMNO6AG0AWAUOTb2wTwy/DuMQJphMr02PgDMK3bBb5kAQO01K0gAyOIZzBfV5QCAmmMSvI1nHLO/f6rpAEBqwYIeZWSfC4VE2iygoBwdCy0gGYhiGhoBnGsv3nrpUXLuiXWN15UAsHTJYgkV08whRD/IWYMRAOJFDACoq4bxu61FqwHgxfeP9CXitFLK9Y+MNS9OVoAGgai4ABB7ESkUQWTYce9R6lzr0Hy6ABChW0jjRQWAOgcQzxeEj2HgJkQOIBWONFjj+WF/3tDy8MinO2bGigS6KRTf8CMK3KzT5q4rOABYeB/ZtSu/CAQh4OwAwO3y/U9/JKwBvNX46MmW/d0B4JLv95H/jsoHgKBouuHcg3JFILkikPRvgWwBQLDiU4eUBLapkr6jAkD2jS8enSOUCQB0CX+jP+SVvPBAi/QX1DpS5xYBAD41JLsAcNCor00VIbR0QSxMiwMAmUeGY8P4AwlmXQCwywvT/ZdMFA+ZrsKFFFvrFoeabjUAxDmgCARV1C7LBEDbABDJ6yTjxVh3XdlYmjdVAFAVDkQ5P/RBLVjkRSEEzCIaes8IAEm1MnvR99LtxXwAWKFM8UAZtNsua2g+iEAyjvxLFHSULlU0oWCG92HFssXl1YfzAODmrdK2+3gDeEF6bgNAJL1v+DE/14ochTifC+8b4fMDagBIFSBywAUBQIQ3cU2DrP+QuTJhVn4IONsAEHmQpNYhDQtCoT1vbyb5HkB3+NqeM1RF/tl9vB+id3kAV2/4xVDFwDQNDFJMbu01yfwd/SAEjJxUGGla9Hi4t1H1HdWgp6yrRXWfCOlPnr3WAEB47pCzqS1TD6CtBZwDgFGvWmI7nQNID+Ci70Re/sCjEoLlAKC3DjkPYHp7zBwVBgC1lFXYEHhoaJ1YJq+n+uJ39UkPoH6g3t1vigmdYcPrHCEer1VD7D6DPIAu2R8ci6/KgZ2yBwB1aAkAsN9b2QWAL4/62rxAbAAYRY2Da8U8Mvw7jD7GBQBZbcxiF/TBHLewPZMAAM+pL63P9ADg5l+3yXXdvArJgvQA0nOKcUAvhMKlYZPzKYag3dzi2AP8U9CULlEBIJUg4G0b3vMCH2RQZo4fIQSABHMcFMDNDknxt9svbyhnH19HCBrhzcM9o8PlyI2F0kPFsiUEtCUwypPhRX3QfuUTiKPxOyuHOQ5l6vBvTfirpfIIAOGJR6FTUB5dKgD41JA5MnHWGn/NQTEEKThy7WXwmDOHonCDXlGmGXBOGpy78hftsXE9QYDNqlEXAFz13S9yex8PAGolENDb8O8AgO9PWSaD8wAgUieYS8sx4d3/54UxAKDN+FLpAAAgAElEQVTFcIBUHJDRw7DXALJR/YwQ8E7lrcPvBQEAUQ39+x+sAt7HaFDHtV9+z3kAv1kvMmhMDgDaeycHAOPeTap9GADU+qdhQ+ChcZ8iCeaLi1/XcabHr2ZduUhwiVwpCGLbpsXu7d+CAKDOQdPHIAcKXHjZMv1iQRjx32/O8bvOxIPFTl4a+ZXx/NkciVHUONgHw4j4d1j1sAsAsj2LXdDHw/88Xo45rFroEr41bpGf+A4pNoTIYJt/2eZTZBRkEYgGgADP4C/THJN3XNFIzjwuHwDqwoGoAFBX3IIGRueDQmWEAJBqGxqIYy0A3OyqRC4qPYAMG8ObV6ZksQRvKT1yKAZ5pasHAH/Y8oepQIVXEvQ9i1cnFoFUrVBSNm7OD7VRztF+FmipPCqEMPUjCACmeh70e2tOwv0NiqEuA6b71DOZ3pPg3ytXuniCl9kGgEEVzPbY7/e6wKzj5jzaEBcARMU3cqNhWsUIebZ39J1i/o598d7UZX4FOu4bXFNtYD+46aIjI5/+6E++TdAcJ/cfOmAUBfyHKAKh5jM7LxAAuOk3/xoWLbxnACB4C3v37i0vvviirFmzRqpVqybt27eXDh06yD333CPDhg2TzZs3G349/L1Tp07GYz9n/kLp3OFfsmD+HKldu4489dRTckHLc+W9996Tiy66yCzTunXrTB8fffSRocY5+eSTpX///qZYBnbDDTfIli1bzN/79u1rSLSvvPJK01fRol7Ievv27fLQQw/JW2+9ZSp8999/f3nggQekbdu25neXB/DrdX/Jqx8u9fdBzgPoLUUOAEZ+NCQ3zBYA1AUClcuXNC8aLWMTdYqrNvwit/eenEBdwdwp5CNNmb02qat0AKDmgdMdIgT2Yuczo043ZTsCY/CmwYvUt4AA4CWn1TOhYFoUNQ621Z6nsOIRJwDMqzbu9PwnfgFCFACo1//qs+ubJHkY8+bw3wCxAOoLlmW/CIShc4wDAAjSVc0x+a8rGpmXJS0dAGjLGmpKoFMa10oCgDoUj3FZxevaZLde1lCgBUoACAUJfDTR04NjWJWL+xHUIzCGpRHyxjFaOxi/kzqGY57SaD/pcO0xJlR48f2j/KkkAMCHx5pQKPg4f9+2M5BLTwvbu85pTwFAXZxDAMj7NCoARFEP6G/ooXUBwBXrf/aBnlYxQpoFPkxhw3siBLxcUJQEO7ZBdfl84YaE5YHMI4p+oppNcaVBJfYMqoQhgbd07RZf85l9xwWAiBIhOkNzhYDB7Yp9AcPvICCPa3E9gB07djTgr1+/fgaIfffdd7Jo0SIDzJ5++ml54403DOgCOMT/rrrqKtm0+Xc5+YSmUqFiJenU9Qn5/bdfpNfjXWT+vHk+ANy6das0atRImjVrJnfddZcUKVJEunfvLrNnz5YFCxZIsWLFDAAEYLz66qvlzjvvNFQ6rVu3NgCwXbt25tTx708//dQAx4YNG5oijx9++MH8HeYCgF+u3S2vj81/xsObe+N5uRzAHACMezep9mEAEF+HF3UYmbJ3PDQ0OKhWsZThbKLOZsoOVAMCQIRqELKBUYMW4aipc5MBIKqO8SXtsiAPoKYB0cdh7pBDy5bpxP+tAIBvzPa7zoYH8L8jvjLAxZbJi0LGzIno3LOw3EEXAOx1ezM5rG7FhOvPKtewNUwAgGcdKledXd80J0DBfwPEQj6rIAAgPacYBxQ68pck8CgyxMpz0JWjUT2ANqcl8yTJMcg0BHoAdTEOxg0FgHlFIKwcrle7vJQtVSwhfMiXMUDdy10sALiPCI6xAWDlciXkB0W4Czk8yOJpImzMDZJpJzWsaZbnWgLAkkVNuDaITDkVAPz3m7NNfhoNQAlScAhjZ8NQCIOCGJ1mYAPAIBUTPT6Lelj9jN9cABCFayhgg+kPNKRZ3Nt/mvk7ACA8+CQhJ0+fHg/sB7de2jDyEoz8eLm8+P5XfnsNAKkZfsj+5Y0HcHd+vYZpHwYAAfZs4mj8bfl6kBZ7Bg/fnyqsXG+/crL+h98Fzz4Y9mSd6vFpYLb/uVM2bk4kgg4qAvn111+lSpUq8uyzz8o///nPhHW744475Ouvv5YJEyYYr7+2d98bJVdefrFMnjFfqtfwVIAWzv1ELrrwAh8Avvzyy9KrVy/55ptv/OPh4QNR8/vvvy9nnXWWAYBTpkyR5cuXS+HCnlLJFVdcYbyFQ4YMkSVLlsihhx4q48ePlxYt3NEmFwBcsGa3DB6XA4D2jZADgJEfDckNswUAdQiQXGJ4weAhHseYN6O5yxhGxcvo43nrkrpLBwDqIgDdIXKgwNOVLWP4+qG2xxkt4N6DPQDIl0im47w44kvD/2cDwChkzBxbV5+GhY5dAJAeQ10hjHOFJyPMNBEzvH/wAsIYosR/Q1IOALAgtIATAGCzA40nRGspM8TKc9AE1VEBoF3R3nXgDOOhI8UM1VDgaYTHURNyY1wbjOn1vOXSo+S8E+sab9FjL80UJNuX2beYKQqhkZAdYd2X8gAgPaz47aBa5X1PA4+xQSdoQzpe19RIeVE+DW07XneMIIwNo0Ywi06C9HRTRQT6vjk7wcMPjkkQQZN8OtN75bVuZwukvXSaAcPS/MiMAgDhPR3R2/MAgmcR5gKAy9dukbv6eZ4+naMLjs4Oz3xs/o5cQlBSEQBCPhOSgNpA+Hv75Y0in74NALVXkYTx2C/IAVSqbab/MACI59fleTrdkSeTpYYvPdhCfv49UaYtCAB+/vnnctxxx8m3334roLDRNmfOHDnzzDOlUqVKcs4550jLli0NaIM98WQfGfD8szJp+jz/kNLFdkrN6lV8AHjbbbfJwIEDk2hx4Bl87rnn5JZbbjEAcNOmTfLBB57cIAyewC+//FImTZok77zzjvEO/vHHH35I2F4mFwCct2qXvDk+v9AP7AH/OK9ergo4VwWc/l0WCgB37ZaLVNgnaBQ8NHQRALj0oHmKxHRU8sUx5s1oAMjw8klH1ZTpC9YndYdQ17CeFziHCfIAUkHDPkh7S+LMO6gtx0dYFDyAvQZ/YZryJZLpGC++/6XxXIErDFWltChkzGyrAWCY59BFA0OPoU4B0DqxQeenAaBWOmCRAo7DXEDNUhAAkJ5TjIMcK4Q4P5yx0p8uQ6z8g6YOiUJzg+NsbzbVUu5s3VhaHLu/EADyBa8l+XA8Uylca0geQKqHwKNTdt/iSfljOFZ7tQl+8AGCHEDN4Ya2dt4hvHwAdDoEjnYaAKKgAvyNAEFQfAgCgNTdDdoT8I5PmZPvAcw6AHz4bKlQFuTYf8gNj3pKHDYAxN597OWZobclKqih7EIJPDR2AUAALKi/wDQAxD2DjykY+oEHEM8jGNZ7+vzEZxw9xFGfFSOnLZcXR+R7ALVXkfPAxzk8gLb9XQHgfx9sIb9EBIAAWkcddZQTAOJ88c778MMPjRdw6NChxgv37rvvyuM9essLA55LAIBliu+SGtUq+wAQAA8gEiFk2+B1hGIKcwDhEaQhXDxv3jzjGRw1apRcfPHFsQHg3JU75a0J+WT/OQDorW7OAxj1yeBoFwYA7byfoGHw0NBEwNAlheYpyGmfvvf0WLMjANTktQQXrq9jdM4qS9dAQQBQ54Dp43S+VKyJBzQmhY0BgNt3Sq/XPQCIUMh7vVplPAQBoE4yR6dRvVRoqwFgGHB0EUETAGqd4CgAUIfgNQAkTx3mBQA4ZMLiBHJjvWCZhNC5bugPCjM7d/8l0FCl0cPGfycAwHYnCBLrUxlzwMjDB44/rDULTKiG4gPA5T8IPOk0Ox9Pj2cDQKRbwANoFxDgGJ3XqsOfLhBgU88QAOoQOPpEWBgeeVg+ACxmpNHwG/e5nnNcAIhQKcLmqCzOhkGD1waADEvrVI1UAJARBxSBwGMNcwHApWs2yz1PeaFerdQDL3vnAd51BgAcMXW5IQSHuaIcrBKPuga2ytHxR1SXz77y8goZKUgHALpCwLv/+ku+TQgBF5I/FbUMQsBIhfhjh3cNCyMHMI0QMDzQm7ZECwFDwaRixYom188OAdtrOG7cOOMJ/PHHH2Xi1Oly1eUXy5RPv5Rq1WuYpgvnTZeLWrX0ASDyCpFfCGWOsmXdoexUABDHHnjggaaIJFUIGPntVfOIoGev+FPenrjCPwUURbY9P+cBzAHAqE8GR7tsAUAtBQZOMpBCAwg+2yGerJr90sSUGXp05cfg93QAoA4B6mVB2G1QXsVkBsvqH0oSa1CjbNu+S558zVMZCJtznHH/8/6XgqRvGwBGoWLhOFqBIuy4MACoq8ARRjsuTyc26Fw0AARHWptzPKkrSpXhvxHGHjJ+SYK8me4vEwDIdUN/yIuCIoLmmCTA4ngANuSOiwqumQNGHr7uL880OqzML2QlOgEgZNzoGcK4dkWuPvebLz5Szj/5QJn51XfSfdDnJt+2bOliMmthYgUpjgG58386e7lGqQCgTT4Nrzty+vT5o5/72xwjzRp7ABDrgt9JsXLfNU2kj8p15bxT5QT3GTw7IccXABCRhW154CHOfeFqCyoceDh1mkESAGx7XIIcn6sf0k6lAoBLVm/2c/20Vjc+bLoMnGG6RjUxPIAEgK48Z63HHGUN0B+ebzT94cznBAqAdPEG28YtAtm1e7d8u07lABYplKAuglAz1J0I4lF9jshQXAM/qK5Ox/FhRNCPPPKIKbBA4cVJJ51kQrLI/cP7rkaNGqaQAzl5yOdDqBaVvT/8/IecdNwxUqVqNXngocfkt19/lT49HpK5c+YkFYHst99+8uijj0qtWrVk9erVMnz4cFNhjH+nAoCY+4033igTJ040IBVFIKtWrTLVwMgVhNEzrwHgrG//lKGTVhjKKuRu5gCgt4tyADDu3aTahwFAvBQh/5TK8NCgdwNtcdNjA6cjqxYGAJs2qOZ8wTEk45pnkAeQuXP2MZozLdV5R/mdCikADX/s2ClP5gnNh4Wto/TLNgPfWyCjP1mRBACjVOKyD+aR4d9hBRwuAAiuviMOquwX6qAPrRMbdC6DP/zGV95o3eIQaZOndUrqFBwHbyRCwFrfVveXCQDkuqG/806sIzv+3J1AQkyAxfG0RF1UAIgQG/YfPyoeHzTTeGKo4kEACEJn5BzGAYDUAv7sq+/kcQDAAypIuX2LJ1WQYv6a2khXwLpAgC0/B+3YTtcfm0Cdgj5dAJD8n/dcfXQC3RHXEGHqvncG5wT3HvyFUamgZRsAvtL1LKlUDjQ3Hhk2jABQ5+oipzLMqD0OHkCkLMBcHkANAFueXNfcpzDsH6QDwEAQPmLqMhk02vMAkqhZj6/JuKM8G2yZSw0ASUgN2iAS9wfdU9QCDpOC27Vrd4IHkJXn7BPvAuTCEsTvKQAIGpgePXqYSuD169cb0HfzzTdL5cqV5fnnn5elS5eaAo2mTZsaupjGjRsbADhn3tc+DUytWvtLv6eeSvAA4rw2bNhgvIBjxowRFJwADDZv3lz69OljvIJRACDWtnPnzqYoBN5HVCTj3wCGMB8AFi0sVct7UnCfL9sh705ZaaJH4G/MAUBvl+UAYJSnQkCbcAC4Sy7pODpl73gR46FJ+gK8jKAwkI6sGgEgQlGv5clXkWLExZGFyYWFU4MAoAYA+gS1akLKE4/QgDrGADMIAffIA4Bh1DURuvWbDBy+wBQvaKJZ/BilEpedMI8M/w4L3+owL48l4TRDaPi71okNOhcNALXYvQaAyLVDpWxBAEAoJUAxAYYqS1Q3ao5J8K4hN5CmFUqiAkACAOaV9nj1c5mx4DtD6QGvI8mwCQAXrvhROj7r5YbBwjyAnB8KBkBcjAILcNzBw2ibVrfR5wFPDLyU2ujF498AHnA9tecQv3Vo00RAZQO7+qExJveP4BEqKlrxhn0BDPw7pCis9+tfyDRV5AWScRBB25Wnce4P3dYHgD9tlbaPewCQhSkEgLhvHk0BACE/NqT7edK2+0e+V8oFABet+kk6PO0Ve7D6Fv+NjzNK/nkAcLkMGv21aefiOiUXY9TzBp8lCOJpOnf66rMONfybjNLYfcb2AP4fAsAalUsJ5A+zZfAMk9eRfeLe2bdksQQewGyNF9aPCwDOXLpDhk1d6dM75QCgt4I5AJjBjswWAGR4C1NBYvXCFT8leB6iTtEOm+E4Fpi4WPLxezoAcMCw+TJGJf1zfhp4Rp1zWDsQwSKvEeFMhEGoMhCmXxxnXAIZeNG0lm2USlyOwzAi/h0G3pwA8JaT5Mh6lY2ni0nlWiYs6FzAewZwB0NY6rrzPLF7qAa07+HppAJooVACe8llmXgA9fUHAEOOkeaYbHfREdKq2UH+sOkAQAIAFmH0fG2WfDJ/vSH1BbgkGTa42VB0smjlT351KAYOA4Cc36dfrpcnXpllPFnwwDHXS6+X/hBLAIB5qRq6LaXS+DcCQF04gd8Q5j31aA8AXtVljNHrZf4gchyffie/kpJ9pWIFQN6grvIHyTiqgHf8mZ0cQHAhIsdXpxkwL5H7NwoAJEk9QCRyVmFOAKiuJz4yWGSkC01QTYycPQI2l9oRK7GjPheGT4ZHMR8A4njsOxhkFwd/uEjq1Chrnku2xQWAyBNfoXIAixUtZLzptIL0AO5tAPDTJdvlvWmrhIo78Bb/s+XBuSrgXBVw1EdDcrswAIgH76UPRPMAAtiQvoCC5umQKocBwEYHV3HqwlJr1bUKQR7A59+dbwhRbdPFJ+mvav6Rt/eeZApikPeDEDDCdTCoJkBQPlMjkNFao+gzSiEGx2YYEf/WEl/23HSeH38j4TTl+lL1weMCAeCm36T9kx4ARD4iQGJBAMDnh833X8jIwUN+puaYbHfhEdLqlHwAqEOnUT2A9OgxBEsPF/v2AWAez5v2GOH8w6qA2ceMBeuNVxkAEPl7NoUI+qlVtbQM6NjcrKkOZbtAACt5eZ1QQPDgjccl5M3hNxcApAIQchyfHTo/aWsj5Nzv7mBWAAJkHphtAAguRHhjtZfZBoDaOxd0b/IZ8c/HxxswCXMBwG9W/CT3P+t5APGRwSIjfGTxQxCE0gCAL430ABv24rjPViUMzTzMqM+K4ZOX+iFlHKMLS6477zBDOcNCPbvPggCAqzf8KtvzQHw2Q8B7GwCcvnibjPh4tU+4ngOA3u7NeQCjPhkc7cIAIG7ayyICQBQ3kL6AQE3zj0WdIrmzdC4eCXQJLO2+wihVggDgs0PnJT1o0a+mn4k657B2t/WeJHgAAiiBBgYJ+zCoJgx5PHMASCCDSlrklNGiFGKwLcOI+Lem97DPywUAwdXX8OAqwmpnHKNVIoLWRvMwgsLm+vM9DyDJk/HfeBkDAH6zMvseQP0BgJcuyIa19wnaq9BgpekQaFQAyJw+hmBJc9K21eFy0an1hGTYJPpdvOonuS8vZIhxw4igOT/QIiGvFF53AECEmG2rXa2MPH+/V4ylizlcAJBcfuwDhVdd/nGc8XQxbIrfSGaN/76yyxhDAE0KGeQ4Pj9sQdI8kHf2VAgA1M8QHAy+PHj/d+zM9yhlck++1OVMqVqhlFChBX2xMIUfMFEAIKME7Z4YLxt+DAaAOqSvgZ0myvYA4Ld+0YYGijxXemGjnrsNABFCZm7ljS0PN95B7Ank5tkWGwDu3C0rlCexeNFCst3yAELek38rVEiMBnVccxWB1KhUSkqXKvgQcKkSnnzbnjRXCPiTb/6QkdPX+HRLUMZql/MA5gBgJhszWwBQh2+oPZlORS25szQAJMXMEQdVSqAEAZcZiEzTAYBPvz1Xxn++OmnptAJJJuvKY2/tNdFwIoL6AR5AJpjjRftW9/MyHoJABmTKyCmjRcnDY1uGEfFvndtlT45kufrv5A1ksQt+0yoRQSeoASCoKW5oebhpSvJk/HdBAkD9AYCwGwCg5pgkSOP8NXlw1Apr8vqxGIpKFze2bCCXnH6wkAsRRSi3XNpQdNEAxqVHzbWGbVsdYbjl8NEF4ARFC3imXDyZ+1cvI8/lVeNrOhuXF4hybhyTAFB7zfDbvVcfLac1qW2aXfngB0bqi8TVKFAZ+N6XSdNOxQsKIKvnD5UZKIGgGC0bBoJ3EL3rNAMWpmi6JubnBY1JbeWbnpgg3/34u2nm8gDqoh5q8KItCmjIBwrApWlbsBfs1BReg6hrMGzSUr+qGMegiIT8ivhwAAcmvMJrN/6W1GVcAAiFmJXf5QPJHACMepXC27kA4LSFW2X0jLV+ri2ua7sLciHgnAcwgz0XBgBt9v+gYfDQ0BQOrNZNp6KWAFAL2FNBAS85XRCAcALk6lAWP6LPhc7pBXkAnxoyRybOWpN0jOtBnsHyyi09J5oHLYolwKTPBHPmEWXSN44lAGRyN/uLkofHthoAas+OPTdd6MHfCABZ7IK//y8CQOSw6fDpPy44XC4+rZ6/BBoARq2wprQb6ZC45+DthNeTAJBar5o3DgPblCz6ejgBYJniSSTCOEbTMWlFE5cXCBWuWnqN4EODpkAAmKcBjvC0JiLmvP8uAFB7mW0ACHDf7cXPQm9LFvXc1GOC8SYGAcCvlv8gnfJ4HXVuH+4xSkLi2amJm3W1MCeB52nXtsdHflSAEJ7E0gYAKg115J+CAgl5oVgH2woCAIIQnXmBVKCJfDJ5DfdeD2AhqVq+mKkCnvr1Vvng07X+h2EOAHqbIwcA495Nqn0oAIwo/YOHhpZxIvEoCXDjTM+mzsCx5BhEnpMOB4JLD96BMFm1IABo645yjtnyzLG/m5+caB60IExGFTC9C9kKNT/37nyTW2QDwLBcPvt6MI8Mf6dMmeuauQAgJedY7ILjwsLI7DfIA4hw0W29J5tmSMhHCHjRqs3OLZRJEcgz78zzef9AtIvQqK6gRajsktPzASAl1Mx+/Ofxgor0VDZ38Ubp+p9PTcL9M/edLvQ6X3vuYaZqm1yIBIDc++yXtCquceih/GT+Oun52hfGA4gPLpdUIsdHP4kA0FPs0YbcVC29BhkxFBSBy+2WnpP8pqB6OT3PA9j6wQ8MaCRxNebGnDbdNypP+98bnAPIKmkeA5lBFIGg0CAbBo1vFOToc2FlsubrTAUAKReZCgBCwYbE3thjE2Z5EQfcY/3emmP+2waAmi+Q59ykflXp1u6EyEswdOISX1oOB2lqGVSgo3AMaQnrNnngVZsLANapU0dKlizpHB954shxphUvWtjP98PfsL6Q92QYPwcAo13GfA9gIalSrqghnp785Vb5cOZa39MOzsibWuU8gDkAGG1POVtlCwDigUYaDdIOpBNOpRdEh4+7vfipzF600eTrLF6dDwZAyAp+qXQAoC07xcUhxUMGS5pwaPseE4wYOgAgPKp8uaQDjl1zYigTWrrIKaNF8cKxLfPI8G/KlLnGIlWG/o3KISx2wW9aJSJoHbUU3yWn1ZMbL/BCwNSCxn8DeAAAglLIZZkAQJ0CADoFAEBNonzD+Q3k0jMO9ofVVbBRKXZmL/reXG96vnitrjmnviBnk1Q4UCJpf8lRorVjMbBdkavXgB5KAD6kXyA9omKZEgk0KmyvFXm0oofLC8R7isfS+6SBOX7THwpXdP7AgEZWLWPtSGys55xKGUgXkuE43DPI/wXnWTbsxc4tpHqlfRPSDFiZTACoOfqCxiSxNu9t71oVlTcfS0zp0NrOmt7lztaNpP/b8/znltbu1ZJxHL/xIVXk0fYnRl4CGwDqscE3iY9GFCbRe6k71vfUn3/+KcuWLZOaNWuaSlOXJQHAYoUTaHtQ+AOAyDB+ugBwy2/bfc5FzmPvyAEsJPsW/dOQRH8453eZPGedf5/lAKC3E3IAMPKjIblhGADEQx0P91SGh4Z+oZ7SaD/zIkonnOoDwPIlBbQNMJJMk2Ca89HhqiAwEOQBtDnHdJ9vZ6E4g/3RSwBvBipNSQCbLboZDSoQUqRF8cKxLfPI8G/KlLmuuV5L/k5dXBa74O+aJDho72gAiFArAA2MUoD4b1QyvzOxYABg/yFzfY8MXpCojtUyagzTcv4aAEal2KHCCkGGDtdfdTboODwybIT92l98lOHkAxCh2RW5ei3pofx47jqTT3bkQZWlQtniCUTKbK89b1rT1+UFAj+l5t2DpxMeTw3M0a8TAFYsZYpFWGlqX3vtiXTtiz0FADWY9QFg3ylGvSgKAGRRz81PTvC9aK5n3fylm6TLC57ih/bC3X55I8F9y9QVKPkgLAvDx9DwKcsSlgdFdY/dHB0A4qMJVfY0aMYy3eVfVzQSeL/B0MACFj2Yfo5C+g0qFwCCAIFQzrANABAfuDTbA4j0g/Wbfvfl4fCxfkAaUnC4P+GF11alfAnD0ZctQ/8YR1u1iiWlZPE9XwTiUfT8JYX++lN2bf9VypcvL6+NX2vofHjtUNzTvtUhORqYHA1M+rdAGAC0BeCDRsFDQ4fUmHOSTqWrTZ6LMQkAbfZ6XbEYFwDaFYc8t2zRs7A/JoqjonHr9p0mnA1LJz/Stf5c9zbn1JfBCgBG8cKxP4YR8W/KlLnGcgLAPF3cW3tN8qsKwwpJ2O8ro7+WYZO9Fx28Hshpg5EIHP+NSuahE5cmeH2DXlZx7wCdA4qX88+/7ZA5izeagqLdu/8yIOby5of43Wr5sKgUOyTYZp6Zz9mYJ31HKhwCQH3uGBjeaHjsXMZCkmlz10rvwbMFFfLYU0z218fo6lt9T7u8QNC51bx7BID23O6+qrGcccz+ZpgrOo82HJcIr4IWxd6LnEsqAEilFLaHBxBVwMjzzYb9p1ML4/lCTtrteWkGpKbxFXtuOsG/R4PGJK0O0zvQzgkAl2zyJd90IQY4H/ExQAA4+pNv/aIZavXqsXFtH7/lpMhLAO5McP3RdP4hSboRxiaHYdg9tWPHDpN/BmUNlyE8r4EZVJl0yL5K+ZLmd17DfUSkSoVSkc+FDcGg8OsfieAMyjf4YMmWoUAKz2htKKzCPbGnDWo1KHAEYD6kbk2pXr26KfZClYoQSD8AACAASURBVD8k8AC6cwDQuyo5D2AGuzNbAJC5aJgKvzjTAVMuAPjoS5+Z8JzNXq9VC+ICQDvfiEuYLYJm9keuMHCa4SGGnDCYLnLJ4PL5nlcSvLKvKCCMbRlGxL/xcgIxscs01x9/Z0Usi13wd80RF3RuQQBQe8EgKfduAQFAnbKAlzNCTPOWbPJZ9pmnx/lD8gvSX7CoFDtapaP3HacI1WeofEIACFJoJOfbIMsuyNBryRD11Dlrje6uAYDlSiSQWbO95t/TXn2EMlnFyrbMq+W/mX9mh6c1ALy802iTisH+7HxU9pVKG1yTyeOYbAPAgZ2aS83KpRO8mVwbFjHBo82PtKC9y6pqveddAJA5oOhHU7EwD4/sBR988q28kFc1jeIgFHFoQ3i/x60nR35MvD1+ccLHoK5ARvV23zfn+Pmadqeu5yjAH4Cgy9Zt/E26D8qXzqtTo0xCVXD/e04z64n7C1a4UCF5tsPpkc+FDSfPXuMTx/Nv7S48UsA4kS17d9KSpMLA269oJIfXrZStISL3g70FAFihXCnpd7e3XvSQs4Ibkbb2F+Y8gDkAGHlbJTfMFgDUygp84KQjd0YAqDkE+WKwect0lST4tPbB55JlQSFg29vAwyj0nsGSJhxKtQDIWiEETBF4kPwyxJ3JWLqwQId9ooAwjsswIv5NmTLXnDTXH39nQYT2hoRVEvM4DQDBtwd6CpgGGqCywUN5yeotziXKJAdQFwEhlwY8fwuW/SDMgQOgbt3iUH9crR8bFQBqkuZe/2om1J8m7yELYQgA7TArGf9dJ88QNTx+yGdteLDnAZw8e21Sc63AgUr0y/PSOlxhQNuDgxcswqJ2hTI8Sc2beh5AHwDm5ZXZpOSckKajcZ2TDQChMw0pOHhks2EDH2guNauUTkgzoHdUSzbyIy1oTHoySfGEdi4ACI8ywaQmY2Ylrg8Ap68whRlmLZsfbLze2sDx2PP2ZpGXwAaAmoMQH4bwGJOyx+407j1lpy1QBpT9guwezwZ6CcNUm8JOUHtJ2S5OmkuUxQM9Dih5tEXl/IzSf5w2F9w7wjTXXnPeH7iPwC2bA4DeiuYAYJydZbUNA4A6YTxsCDw0qEmLdvAgQWUD3oThPS+INTuS4bLSDgdz49u0FZooF5JKeKDaFgQAtXaxPgbu/mFPtow157DG1AuFsD28L8wJSock2zUOc9nsvKsoIIz9MYyIf9sauHrMcACYnw+lOeKC1kYDwFanHCj4moeRBgj/DSobvAxZEWf3FfdlpY/XVevwzuAF9dXyH32WfYQxW5+pAKAiQoZn8vgjaqTcI7pCF96sl0Z+Je9PXW7yvFD0QgCIys92Fx2ZEJpE53Y+nh6QIeops9cYjw7yxOAB1HrGbM8QNP6tqZ0YstX9Umief4P8IrxiNkm1Lha6rNNokzfI0JQLxKA/TUjtWjz7ngR1UpcB0yVL+E9eeKC5oT/RnlYW6LCKHUVNqQAgcyp12oMTAC7a6Of8ajk2pDtgL1DBaMyMFTIgjzjb1vTGOlGvOOWGy2sAQnidD6zJpVEchlAiSbszvafsynWbqQGayTf3nChQ0oGFcbaGnZ/Ok2S7OGkuUdaOH2i67f81ANRec6ZC/T/23gNsqur6/j+JGjWaILZYsMWu2IJdUbFEowZ7LMH+NfYOIlasiKio8WuJX2M0xmiMJSqKFSlijx0LKIKIRhHECtb/8zkza949e869c+8Llv8vs5+H5+GdOffcO7euu/faa9FMhf0eLxUHtTKALQBY5OTOGjOzAOCVtz0fbh/+elyNjM/b87YnOywLAJWt8+Klkp1gnWUBoC4mv19+MuuPw80lQWve/t/3jHujjdYFR1UAILIWhPxhZ+TYsWwWALQyHc3WYQGgt0Czy6pT0n6mDKCVxCgCAK++48Ua2d0CQJtp+jYBoNWt5EYKAERjUp23dFUjrq2wThhFRbYtPw8Ol36zOI81AFgFwL7TlnMxywWjAQAut0CkFaS0LeV2wW+x7j4pr2FxID0A9D7FFgBiFwlvUE0lKR7bDwkA2qyVB4DIGp18RYWmkRUqG9vGpxQApKlIsk9SRmBOuXHo/nj3yLE15xTv6c14e/yaXct8jyC8VQTQCznfcU3hHZ0lMl72pcqLl3sA+PczfhMBIBxbIk+zNe+32U5pjfsuAGBR0fcix6XMGGUAbdZcahjiwrcAYGWPtjKAZc4sNzYPAFrNsLxVcNOw6XNpWbXnYhcAtABJ3AdlGLQtNoNx24Du8Y3aR1YGkG7cf7/8bsP49mQt8/bNvqffEyZNnRYGHrVx+HT6FzUAKCmJGTh0cVE1M/gMYJ6en1+neGR87h0w7Fjr9qHPJYliXRGKgM8/3/FiuLXa7agMGHPaBwpahjc9ODqQZUhF2YeVnWPAdU/WOmbJzrw/dVrUmBStAB4bnboKmhvgc+ohut4qizQ9dLY8e+ZBG0RxXvhdArz+b+uCwuSej2dXKAAIN+oCMoDLLRDm7zBnrbPZjpXfLZ9ZAGhfoDSeS8hm3CRBYl0tGIuUyeZrLxEXawOAFXFhurp1bO12yBEla8eJ66vvcc/BCQQu1MyIy3pvGjot+LM6moGyecoAFgGA0g4sAwDXX3Xhmk0f5XuOfQoAektHfrct4RfZD/KY1lisBu8eWfE9h76AHSUqBFOqWTk7Z9lryvtXU6623t3XnbZVFMP/6NNKM1OeZFfeb0sCwB5rhq5rLFpklxQaY5MYWqCo5mehFZQYlAKAMkSQGgb3rYO3X77VBdzqAi5xZrmhuQDw08/D7iff3XRybhr2gW4fAFncvKxJlWmAn3TlCVvEYWrY8JwlCwhvO/e3YZZZGmUKsgCgLia/He3JWubtoH1OvyeCiwuP3jiK8KoEzLZf0Wfzpvu22QA1M+ihovGWpN9sDgEVxqm7NLVMCgBKEsX6ohYBn/Z8EQeOdVoAiGfqPx94NYyZMDX5E8o+rOwkVgZog9UWCZOmfBa7jUUrIPtHFlBhrdCKimxTjuX4CEQp46euX5XBxYH0Ysu+HGu3X00qdh3wSlP2hmRl4CASZOoAbESKByZ7Ra0LYHnGgesHK2rMd1YuaKfed8RMpTL0ANzbh1WqATbUPZt1PvqsPP7Zypg3O4eLfI8fMmVoW7aUNqEAIM424ulmzSlAbbUvUxlAyQAxD36+cppRwxZ8y1vP/W2ky9AVTHhLRz5r5qDit1Me0/pcFRn+ltcx3a1qzLDLl72mrN8x83i3pmv7bhkOPueBaBWoKLsOlrNuKZqnTKNbkfMDKR5KzTa+bwBoaRNoYj47elIQz7IFACtHqpUBLHJ2Z4yZWQDQcrpsCSirNJu1yS+NnRyOu2R41DoSAJRHqJcusCXhsgBQF5PfDvFyZmCX1i2692mDw+QPpwe64T78ZHqtvCQtsRldjwCgF9/NE3T26xSPjM+9/p0da+3e9LkkUdTswudFwKf4cIwXIOL/NqMAX4kmkG8DAPa/9omoqUWQnaHLF66hyqI0MvTYasXaz7cAEGBKSa9ZPPDE+HDhDU8HddJ65w9dMyoJW4sy5vblWLs+Nak8+OT4MPDvTwe4egDAex8b17BZFgDi3bpj7woAtBzarN8iDTorasxYCwB37H1HFPoVRzdlZ8Yy8O/g4WXFdwUALc1AAFBgrggA1P607jcpACgZIH4vlnpympFou6oNOPmgokCkOqibCWj7/SmLQX1uj4d0Dq2Cgl2+LDjzmWHv137NqVvGJhDrLlM2KcD2Wb9kbe9/GwBEEolGNZXZeXE9pJUBbAHAZg+ivO/zACDuCHsUzABaay9LZOYNlzfdoiEAaEukeljzgINPp1A3FH9nrScrA4hFE1kNH+0lKWf9vr36Do6llouP3SQSoUUwb5YNKbq/1M1K5u7qO0fVFrMlumZzqYzIOC9/Ype1Dzx9ro5YNbvwue0QzVp3HQCsOmEw1nLN6PKjZPrat5ABtDqQZGfo8mU9kjKBi9XjN20AENcEeI5EUZeV+x4bFy7+xzPRNo5MgkpzcLKQ2/EA0Pvt+myc3ZdqUhHIpFsXzbV7Hm0EgLaLFKAGYCOyeGB2PXQXU75+5tV367hxCArT7U8IAOp63Hr9JcNd1ZKjnavZS484TlrmzIPWr2XMm53DRb7/317dwuIL/bwuy6wuyxoALLBOslw09TQDgI+98HYstxJY6j0+6p34f5V5BQDvefSNcMlNFQCIS4xt4OCzZvI5/rfrRUOfk2FXZksAN0tkvCwAfH7MpHDCZQ/XNgE5IkCKAqUDOIBWXLxsUoC5UgCwjNJBkfNDMk127A8pA3j8/46IPGVlWVsAsHKkWhnAImd3xpg8AIgq+u9PKVYClqsBq7FvsXTUlhHSVEkBwVaEWwmsrtCq851r6oZiDN3G3FB9WABo3zx1Mfnx7eWoZB2CPfsOjsAPL1gaDSQL0YwPVfSQqptVxHItl+fo4edWGVEPIB5QqUgBQHXEopFHFo0okn20AFBeuCyrFwD+D8kbAAhpPxVlH1Z2DmWV+QwASIaPzjrZo0mrT8tYcFZUfkIPdrI/J+23TlB3JrIcuEH4phALMpsdf9nJ3f/4+HDRjZUsIwK7ZJN8CLDwOSK9OxxXAYBZPDC7vESI4cvKxYbv2X5+B8F8zAtQwfbLdp3auZrRHjwvt0g2rtl+st+jP4cLhe1oFgAUn68I6MR1hQ5lmxFPZQAffeHtcFYVAPISIKcZdUmr4QzQjjMIkRLRLnuvsPdi5rQlebabl98skfGy19SzRuyadfHCQJlScdWJW0QAKCs4Ps/ia+cdS7rnuWfYKKN0UOQ8sUoWGl/U9rHI/GXGiANoj/1xfxweecoC2VQhDtmhxQFsAcAyZ5YbO7MAoOWd2JvYTf22CXP8ZNbCW6iSggWA4mv5B5Z1BikLAHUxpTas7E0w78f1OPXu2AF3Sc9uYdLUz2pewM000YruMHkaY6UGr05hH9DN5lIZkXG++cEumwKA6ohVswvji2QfLQAkY3TwTqvFVdmSEpZy/xzy7QBAazsGQKPJA/slZbF4SO+19Uq1nz/xvY/Dgec8EP8uCgDF7Vq380LhxH0rvsZoNeLMcMSua9QAoKzwbJnZ7vdUJlBdyvc/Pi76ygIwyACyTh9WSPirr74O21cBoNXRzDpHBABtRytj6wHg7dGvVzqdVnjYzmuv6dT6eDlCO09RpCGj2bltv+caXGLhn9fRDDwALMI71D6xnNgUAHzk+Ymx45YAoONnTogiI8kpyvY4+hBe0J3PmpXO/T7wAND6C5O55OU3S2S87L3Pil2zHVAGnhn9Xm2T8F+mCcT6OZetCjHZbUPHhKtub7u/8dl/GwDsdfGw8PK4KbHhC9H6FgCsnGYtAFjmLujG5gHAqR9PDz1OHdx0dm4aVnrAdqTeeNbW4adzFPdSFACw2QJJdnSY+yc1OQE2ynoD39J/2zDbrI2WPTYDaEsPPS8eFl4ZNyX529rDUcnaSWRQyaSSfSBDJlmIZrZYTXd6dYD2Dd279gaZZ+nm51YZkc89982OtaR3fY6sBB2xanbh8yLZR9s1TpfiIQkACMfn5gfHRI/WVJR9WNk5PADEWokuXGWVJdasZSw/r6j8xKCqwC8cwz57I2o9OnZ/4pRz1G6/qjVOCQDaTmO7rSkuoIC6LTPT1atuT7u8MlZ8hiXX9r1uj19nNQKklqV8iU6fwp5fOxxXDwA3X2vxZDdys85335hVRJOv6HXCOLLwXHeWZqDyqjT9igBANcZYWaQUAJQQOOumRC/VATXJCQDqGDIu5aPcDDj7fSCHGX1uASCORL0uHh6yRMbLXlNPvfyf2kst66Ph6elX2wAg7is0gdjO8qyX9bxjmQSAe/wqbNJlsTKnQO5YWTXaQUV9v2faRlQnSmUAj71oaBTF17nEfeXQHVZodQG3uoDbf/rNLABo/SdtORIhUMoNRUMA0PKFlOXyvBUEUnkjIrJKzRYA2tKDLqbUdrWHo5L1++BQwqWEf/SuAYBlid1Z87cBwIq4rOLQnVeLpbgiYQGgL33a5fMA4N6n3VNT+58RAPjCa5NCn0srnCIAIKCJ0mwqyj6s7BzWCQZ+FiXeCe9+HJRVJkuzz7Yr1xapA4AF5SckXku3Xu+91gq3DBkdeZqbrrlYoFPaC0NbrUG7rTQmeT9cDwDXWqmSAUxx76yXLK4a21UBYFYjgF23wKPls/G9Pb8AlGyfwDO/LyVIXRYAqmGhyDlcZIwAoO1cVSZeABDpGctpS80rdxQrjJ4CgA8/NzFANSAsMFJJVk5JyuIyLgUAbUNckd9p+diMt6oMCNIfe9GwmuONn6/sNeUzwzQj2Swu0jsH93+wbjVZL+t5vw1ZIVvhYGwRuaki+0tjrJuVPvu+AaDliutZJjpBCwBWjlIrA1jmLHdjZxYAvOmBV8O1d70UZ8fWiwwPcf0Zv4niukVDAKAOAF7/VPQ49bwVqzlVFgCmfG21je3hqGT9vj1OvitqYCFBQYnv9GoWZWYBQOnZyV1A25Hn6eu3VTwyPveZLzvW6p7pc0miqNuZz22DQNZ+sar7aopgrJUbgeR985BvBwBa2zHAE56mZAFxzeAt2wNAK9FStPtQ0hVYNvXac81aGQvvYcpXAoBal7Wbs/stJQcjmRqVD/kNv+j403Dnw2MbdrkaOfjCAkCJXuddmyof23Im4y0ABFAyL3Il8DX5fUgL+WgGZE6+YmQsbSkQ4e175aNFbx1Nx9GItdQiHepoBm0A8IHw5n8+DkUAoJp6mgLAZydG1w1CZTv+r65c2U5aAOjlnBhf1jXIA0CVnKESnHdEBQBmucyUBYC205lt9RlAKh+HDRhSd2z+ec62YfbZGqs1eQfwliFjwtV31peAvxMAuN86Ye2VF2p6bs3sAcoA2vK/Ms7qKIe7fNiOrQxgCwDOwNmXBwBpXqCJoVlw07j5wdHhL4MqXagH7rBKuKJqbo4QaIe5Z282Re37NgDYJhkhqZM5Z5+1Tk7ASg5k3VTqMoBGKzDlaqGNyJKUKfwjzMDdTrorYKnHm/DE9z4JZ/y5UkabWSVg8SMt6Gb+g3daNWy9/lKFNtk+gGRTllrQWl/pe0miqNmFz4vwDy0AJFMJoCCs3AggifMKbl4qyj6s7BzWdowHOgDvnfc/rUksqCyrZaxIc9HuQ5WtBPjUyShA6AEgHe44x/hICULTqEMjiBoIyGIuOO+c4c4RjQBQUi7M+80334TuPSsl4LnnnC1qU+aFGkgeNmCG8fYFQwDQOhTQtOWjmfvNyZePrOOPSbOu0ElcYFAKAEpnDZ4aGWA1SeRNx74mM2RfIlMZQPYBDWyEbY5Ql3QbAKw08hC+m5/P0Gu8+pQtC/zCyhAJjGsBAUAyyZSAj7lwWMhymSl7TaFtCJ1C4TmAyF9xr7VRlhfOsikAWERvtPBOCyFcevOzDRQKyVyVmWdmjE0BQHGwpSnZAoCVPd0CgDNwxuUBwCkfTQt79b2n6ezcNGyKHvAhb0uEQDv+bI6mc2iAMkA29S0AyA1z2udf1eaykgNZNxULAC35ONXQoInbw1HJ+oG7nTgoiqCifzbhPx/VZCFmFgBUhzQWbldWs65sy0E7rhot+YqE5SBJky61XBIA7rVWQI5gz1MH14Rli/APreq+umJZ57Oj36tJf2Apd/OQMd8KALSuExD033z340AJVhILfj9YAFiUfK6Hlkq+viQsHqQygO9P/Szsc3ojAEw9rMXVtJ3G6GR6IVv2qThrOqZ6uMw1x6x1Ar2pYy4AaMEM4w7ZadXwm+oLxnY9/xU5Xlikodlobc/snNbeMbUur81JB6Yy5kXO42ZjACNkKW2WWV2WAoD9DtmgRkHImk9NPfbekgSAT78Vzr2uAgDtvYrzHeAOD+8fZ28bLAXDd/OzLOoH6OkVDavJyjLqOuZF4tzDuga2G2kuOrd9lAWAlucYzzXXBKKSs13PTWdvE+aYvXhjIMuKPmHnKaI3WnSfMQ4xbt9EJZmrMvPMjLEpACgKDvdbXshaALCyp1sAcAbOuJkFAG2bPg8HCLU8FP5yyq/DfB3mLLyF0pWyAFB2Z/5BaMsqZQFgqpypjWwPRyXrB+564qDw6bQvA2To8e98VJOFKKvtlTW/NBIP2L5zuPK2Ng7gQTusErbZ8JeF9rvtQrS+vH7hQ86tlMlsqCNW3c58V4R/mAkAjawEJR5A1LeRAbSiw3C6ODZk4PSg9gDQ+vQW8TpmP/imD98UIgCosnsmAJxtlujgYUM6hRIRpiz0i/l+mnTggJd12h/Wqy2uh0tWJ6hdjzQErV0g31sA2L3nv6Jdm5qyrOuFnatZKVNCt1qGLJttPCl0MucMwo1n6U7zBKtdJwCIWDE8zyIAkN9H9/sxFw6N4uFECgBaj21braALHMcWKhr/OHubYLvwfTc/c9Ot/de+WxX++R4ASpeVppP+h20Yjh44NNpmel4pKygLAEc8+1bof20F5BJeBgbAibC/jbKNgSxrK0ya678DAM4VLj++Ioem+y8VhGHPvBV4ETl8pxVbTSD/zU0g/fr1C7fcckt4+eWXw5xzzhnWX3/90L9//7D88mktN38XyQWAH04Le51WLANovRoBAIhq0vr/55N+HehOLBq6OVv9o4tvfDreMD0XykorZL1V2rd0m9lLgRltY1ntwrzf9rsT7gyfTf8qahq+8fbUmizEzJKBkaDxH7ZfJWBlpOBvBGCLhNUhs64cflllSezn6ohVs0u8Ue28WoDXlxfWdgnZEHiDhJWVoMTDmz/acqko+7Cyc1jRYXhLrAOdRpHYPRAe986HNS5TUe6Rl325e+TYcOnNz8UbN7IwKoMLAE7JuN5SfC0161ipmV/MO1cUzPWhpgV9LsCW1Qlql5frhRUL53tLMdB84k9a0WM7F/cB7gdZ0QAA91unRpkoch43GzPw6I3DMp3mqaMZ6EVTAFAyKXlzkYFBDNw2kqUAoLVYtBZpdIE/8MSbBgBWLAMJz+XlM5p1/nb6b5r9vNr30pfUB7ws3Hj/qzHj2O+QDcNRA4cG7/mssWWvKQtymcMLQac4lTMLABYRnC+800KIbixeR1M6p2XmmRlj2zKAbQDwoHPuD2+990mNY9sCgJU9/V+dAdxqq63CbrvtFtZaa63w5ZdfhhNPPDE8//zzYdSoUWGuueZqei7mAUAeiHR3NgtuGoNGvB4ur/L+KAH+6dbnoz8oQqCUfoqGOGDWA1EA0MthQHx/YtR/4tS8SfNG7aMeALZJxehiSm1XezgqWb9vlz53xrI1elgQ5PtVuwLt7yu6b1LjJGhseZeMIyPYvevShaa2TgRWlNkvnASA1Y5YNbuwjM0OZW2ABYDSxWMsHYQSy+YNnxIw2blUlH1Y2Tms6DCZ5HFvfxgdW9Rh173rL8MB269SW4TvDzuvQmYvCgBvvO+VcN3gl6NgMrxILwytLKg0B7MoF576wDZoGYFKslJw7MjE+5AVnT5XyTY1r19WANBmqRhjKQZ6WC2/eMfop2xFj+18OPngDJEV3p2Hh6+ElAudyE0GDTxq47DMYvMEK14skr3uB0UAoDicPS8aFn8vkQSAT70Zzr++Auxk38X/N+nSKTa1kYG98axtggXXnsubNXfeT/UAUM4jlPzPPmTDBk6enavsNWVBLvN4AJiS8imrDMG8yqbbbS0iOF/mvEGM2zvp/JAAIE5EiMWry56s/xE7tzKA/9UA0J/g7733XlhwwQXD0KFDw0YbbdT0/PcAkG4+ArBVBgDeNXJsjffHw47sBvY/AJ+F5psrKsHz1jnLLD+OHYPMnwpxwCxAQiQ15XFq/TWLAsBZfvzjuO4/nH1/ePv9T5LbkMom5m1z1k6GcL9zn0GxfPd/J24Rxkz4oCYLUVbdn3WktqHfNY+Hkc+9HSj5CoAzFk7gthv+MnM/2222XqQ0ZADgfkTLoAnWDQeQMpkNdcTuftJdtYYCskNbrbtk7rqt7ZIAIPvr0RfeqZHKecOnC9iXnbX+Mg8rv++s6DBSJ6++OSWerzqnyJ6SRSU4fvzuI86vkNlVevJz+r/lyaouZ6vZB7mcJpDbh79eA3NZTVepTJ0AoK47ACDXGVxcH+pa1edq2sjqBLXLI7U04IiNgsrX+g4AyO/iWqoBwCU6Rm1NLwWiZdAdhMtmTy17nvW5dER44bX3a6unzGobDJrezJoMuOCojcKyi3Wss7UDACIPQ0WAJqAiAHDjNTqFnj26BKslmgKAFthZALjRGouGYU+/FQBkN5y1TbBe3J7Ly0/SOM4viYLb++f0L76q66pFLsWeB3Jmoumn4mBS35Rhd1uza8qf49ZFiHm4lqzFZqqR5+9n/CbMXUIZgnmtyoS2NwUA23Of1nwpACih+/ace0W2JWuMrimrh/s/Z90XBeuls9kCgJWj0gKA5uwcM2ZMWHbZZWMWsHPnzg3n7fTp0wP/FADAxRZbLEydOjU8+9pH4by/PRm5e5Tl9thy+SQp3U/KTcOCCMp58JswACdLt8PGy4S+//doLEFs/KtOYciTb4b+h3WN5vE+BABtiTR1YbKc5RpllRVsBhBgc81dL4VT9183YKHGxZQK7wLBgxoO1EXHblK4oQUwg++vZC3IhAIyxJcpCwAp9dHdxxv1cot3rG12DQDuWOFd2kB37eKemzR1YrHHjuV9xgjC8R//8XSyYUAdsWp2YXnI5jxseLBmdYBbAMgN7YhdV4/NH9ZHNNX9WuZhpbF0YUOg7rLiL2ImjvCSIxqrc2rbqj8xnbw8UGeb5ccxo62gW5qMHuXujdboFHAK6Xnx8LDDJkuHXTZbLnw67Yuw64l3xeHKqlq5HZqAKAsCrHS+ZQmv++535tQylle40LxzhVsSAJBr8JT9161tu3T74IR5bqG/HpZfomNYY7kFo42dD6SaOMY79r4zfiVdTt8I4JfjwcVvBcQAuAQCv0pq3wAAIABJREFUGwHgWjXKRPJCLfmhAKB3r7Dc4iIAsFuXTuGYPboEOTOwGSkAaLOm7EcJz4vEXwOA/54Q0DolPJeXz7hvIt+CgweSUkhIkc3kZVrXkbQmGW9ddvgb1xicmiglY3XXXgDIOX3ogCHx/qDryJ7TrMuWuvk7BeLLSoMxTxoArh42X7tiR0h88eVX4fDzHooKC6gTlI2ZCQDJjF5+87OR6rHKMvMnN4Xz40+3vRB4GWS/2RAAtCLgstuU004LAFb2WAsAVs8cQMd2220XpkyZEoYPryfe6uTq27dvOO200xpOSADg70+r12uigSPVlcjClC/IEcHTWqfzwmHsxKnxBsVn5xzWNZxx1aNR+Jg3bEoe3uDcdyZqg1SesQAwxc1gvG6k/L8IANQ65v357PHmKe9aJD/IzkgSwzonsIwuRq8Nl3eDsXpr8aZ80hYRDO18fOVhaZtcityoUm+ELCdHCzIyMPFtFpDvi7hWiEdmt8NmArRu+70s09QRq2YXOyZPVNr6bsKJ4oEij9oi+4MxzbIVmscayWsZLznCWG6263VeOIIogbYsoOj3lZWVYR2vjp8S9dYI+GKcqz5boqyQ9hPnDLwyOmltpJo1xBu0ABDAT8nch2RL9LkAYDOAzXiAC5HlmmMbNfR7fBkw73haMOD9uXmIS0jZKgsUPT/8ODpSeXnyvsZ2HE0SCI9jp4a7DjZ7Nmie4FzdfO3FmwJA290rfiRzIeBL1h5dU8qhZJcpJ9OUAUAjqwtHUA0VZGopr9uXI/EZlc2114MHgDQt/e2el8MKS8wbduy2TLsBoKX56DqyCgK/XKRDWH7JjnVSKpz70kLUfoTPCBgtEykA6AXnrSh10XuD3YZUpUlOR2W2lbG6Z8rtJbW8xqDHyXVgIwUAZbepLvIWAKzssRYArJ45hx56aBg0aFAYMWJE6NSpU/KczcsAlgGAlEHgQtlShGQFkBiwnr7duiwW30BtQLw//cD1G7bxmVffDSdf8Ug0lr+k16bx+1R7Pp93XX3RIL2xcgBwjliOnjR1WlBWgIcvmS5kG6x3qr2Y80SS/Q+xllt8B/cJDpQkKMr6e6ZIwcwrAChSvlxTtD346XZdY9Hc+5d4ZHaQtcPzAJBOyRvvezVqtqkj9ncnDKrTaGQudaqmVm4BIJwWHqo79r4jczux6HrxtffD9fe2ZaKK3uRth7qW8ZIjyIOQVSHTha2h/ImLAkArK2MBIC8b15xa6eC0pT7+lpC53U+8xPHwly4c47wAOp/pZUQPZaRXALBwpXzwoDhpv3VqH8u6LUsKxC4P8CDguvEygezHiGcn1oZYqRb9Hl8GZLDNgNn5LRhoAIAGPEDxQDz4sRfbKAK5J3XiSwFAb19mhwIAV1pqvki3oPHHZsugsyDJwkOdsH7iqQygzY5Z20plmcmS//3MreNceDRDvuGYEJR1p340Pex/1n0xow54s6VVdTSrAYdldG5bm0U+B8Sss/LC8V5NRz0SWFmRd02lAKAUBKAZcC7A7bValJwz0kLUOstqw7KcGqrsdv//AQDK7SW1v3VfTTX51ADgfHOFP51Q6QKW3SbWmVg+8mJ35C4tDmALAOK+cPjh4bbbbgvDhg0LSy1VTP+Nk8pyAD0ABLSkhGlZTuK2WTcS+W2i/r8pANA8uFmmGQC0OnkpgU7mEJeG/2cRi20JWNvKTTyEb8LkD6cHaYPxnbTOpH2m8boYSwHAr74O2x/XBmgkh5OyuivyIMsCgLI0U+PFBdc/FYY81ebCUES02PI3tS3WDs8DQMpkACXK22qIULOL/S15AND6blYA4Gq1UmJqf8BdYt/ZTHJRAGg1KrWM7zgV6P/7PS/Hc1W8vaIA0MrKsI5Xxk2OJWGrfec7JlUu8/tpuNGPY1+kBJsFAO8c8XoUXSfDCF/opgcaAaC6jrVfybTyspYlBWL3P5krAncUSlXw2iwAtBwv/R5fBmT51Gd8bsFA70uGh1FjJ9dWj8SQKBPi+HpLuiLXjsacd0TXsPwS8wZvX2bnQLZkxaXmjR9R1bAA0GuaNgOANjsmjUTm5XjAdbUAMPU7JAyO+gHbzfmvyAOAVmSd8ZbHZpuZUussCwClICCagaV2MD8c4QHXPVXXdYykDdI2ZSIFAL3j0IxmANVsaLdLTkdltpWxumfOTAAou00JibcAYOWo/FcDQDIGgL9bb701PPTQQ5H/Vya+LQBYewB2nDNsttbiMatiIwsAip9jAWDKpJu5rOVUWQDIG/4HH08PcgdgPrkdzAwAyAPWljQ9ALTk3iLHKwsAytJM0isSzdacRUSLPcGfZa1otgeAZEnIANKxKzX+nfvcGZsobOQBQOu7CaeKDOBO1fJ4an+QdeQBSFetoigAtC4CWsZ3nMovl/OUbLXcSVKlYr99zGllZfj75XGTQ6+Lhwdrf+Y102oAcIvlQo+tVqxN60WXvQc2A+XYYsWlyQCmAKB067QCMq2xKevHP4qZrrwgc0Wgd0eGh5cL6/KRAoDWolFzWx08uz4LBiygYgzZawkpqzHLW48VuXY0BhcMMmntBYAeuFjAmsoAWn1N2eSxLZLJSS1jf4+a8KhWrLjUfMUB4G3Px+YiRR0ANHJGqX1XHgC+ES656dnYPEWW2Xb3Mz8VAjqh7ctGWXMA5rFe89ru7wIAyumozHnG2G8HAA6OSQv4yVg+ArqP2mWllg7gf7MO4CGHHBKuv/768K9//atO+69Dhw5RF7BZ5AFANLsgnqYCXt+xe3TJnH70m1Oi5RA2RputvXgEDDayAKBkQCwAtOVCOwfAQdkuSim8UfvIygAC0D785POAV+USC/08LibzdklfaK72ZAAhJIsczzzXnrpl6PjzOYKM6C25t9kxsjcU65HM5wKAEl+WaLbmLCJabEs7Ws5qIXoASJbkhvtfiVwqaXEB3rLEilO/zwJAgPyhu6wWdukzKHNXkHV84fVJ4bq72wMAR4er76zYFOoB5xsOZJfmpVt8qTjroWllZVjHS2MnRwFceHkq4ej80hwCgLJ10+fedi3l2SurOulvQofgpQK9Nx9wzvrsvXbt45163xEbWtRRmnf+IZsCtxReImCPBi5EaBUWAArk2Y5XjcviBVow4AGgskfMIWmmx0e9025x6AGHdw0rLDlvyJtDY1inL5f60qUtWafAnNXXpHEDbiEhmZwU98seCysL5PdpXgbQgzArZWIFzbPO5azzIVUCFn9YANAKvDMPHfMD//501HCFFoNguO6FRe57GqPr0i7jLSe/jQzg9w0A7Quk7DZRKODFrwUAK2fDf3UG0Mt16AK5+uqrwz777NP0GssDgDQu7H/mfck51AmXtYLXJnwQBUcptyLz4R9MzQAgN8yLj+0Wp/dlBa1Tekj8nSUtkAUAASs0fVx63Ka1bmTZGs0MAMj8NqOlB10KGDQ9SOaN0gNANR/Ifu2iG54O9z8xvjZlEb9MlRHtdlgtxBQA5I38qZffDZJiUFbJzpGXAbRlffikbP8uJ+QDQDKAf737pdoqimYArYaYlvF8M7llKNMgcWpfKs56aJ5yxcjw9Kvvxa9ZRwroe99UAaYGAPjcxFrzA/PBEeJlxYacSm4f9lq0AESbbuEF5mp40WIZ+IG2KzIF1rPOQUqX5AhfywCAfQ9YN/S98tG4uLh/6ga2c3qHCH2HLEyFkhHqmir4G/rCedXuWJ2PT4x6p932cCrv5mURZyYAtN31vNDK0aYoALRd4Z5DWQYAWjsza2mYdS5nnQtJAOjFzV32kfsDfFa4jV9//XW73KHYnjQAXC1suW6b4PyMAkB/72S9auAqco+2Y2ZWBrAOAFbtNhGpv33Y6/FF4ujftTKA/9UAsOyJ6cd/WwBQ/Bm4HjxM4XDYyASAL78byKZYAOjfKjWP9JDaAwCnff5ltGjDo5eGDEIPaGmfaT3tyQBC4lbHL/OofGS5kVeesEXhw5dVAlbzgd6GPY+liF2Syoh2Y2xTjQeAPCQB9Nxwj9y1IsUgXpmdoygAhMvJ9tNIkhVkAAFV195VHgDaDkIBQM83k/SNd+8oCgAtV5B1pLieHngIAO7+6+WjVIfC+6t2mPsnYerHaQCoDmf24SLzz52Ua5FzheZPleuz9vvSAMBvQhQxP+2A9cIDT46PGnYKPuN6JZTlkyC0ndPaNtrPrVWk1dVjjMqH/P+f52wbm0DyyrfNLiY1eOTxCFUmZi7Pl/PdqzaLnMoA2u56mtrkaCOdxGYOHx9/+nnY/eS748+yTST8nQcA/QvztwkArQ4lpWbPP6RMS3ctUjtkAPlX1h6U3wvn2CtJeM/x/9cBoOw2efmjsa0FACtXfAsANrvz5XyfCwBP3CJ2oaVCBvdZU+vmyU2OtnXPTcoCgOrQQ1IA3T3C31S0Tnlq8neWtlRWBvCz6V/ULNooxxKPvvB2dB7gAXbekW0i2u0BgNOmf1mX0VL5KMUNK3L4mgFA8WG8lEERu6QUALQl9QYAeETXCOhxYdF61Vlqf0suADTG65QvuZlLNy+1P3h4A6pmFgD05UaR2AUWJU7tS8WpbQPwWa4gf7/w2qTQ59KH48sFLxmEz14pY4ZQ7+4GAPpMIS9RiETbUAZQHc5kUckO+2YrlmH/0o2pSDXsZJ2DcNfgGVO+xE/4wSfeDEOfbmsysgBQWT4PVpgbOzooAz6sVaQHgDQYXVB10hAlYWYAQL9/7TblAUB/j7E80iQArGbHmB/NU7JvhMAwwP6607It3tCv3O2kipYk98PXJ7bJA+UCwFueixwxBc07a6+8UPxzwrsfhYP7P5h5yynLAVRWUDQD34EMNQUZLzqnyQBiDypFhCL3PY0RN9cu4z3HZxQAevoM65LXeZltZezMygDi7oOJACG7TegfNLa1AGDlqLQAYNmz04zPA4CceKiPp6IZAFSpgRsjaXovT9EUAC7aIXboEv6mou2RHhJ/Z2lLZQFAyr9y6OAiI5QZoPPx/CM3rv3s9gBARLBtRkvbp+YYe2EXOXxZAFDdp5JE8GKmytDlrcP6OGucfdilAOBN94+OXCplHq0emeYoCgARsWUePexS2woApEMUMWxF0RKwJZBrGSviy3ziMKlcjDbhUbv9Kmpb2u7L1LYxp80U8rfkfqzeo5cfUcbMA0C9iGhdHX82e7Sps7HdRksHbMMEAOFRLrLA3A1ySywj6zItL3/qIucdAJBGEcqXiJAjUVMHAP+wXs26TwLQtuNV68iyh7NWkdZajeWgL8gjVwAwT8Kl2e8hiwzv8pHnJ2YKTKtTmLms/zN/e5qJPeYpAGibqzgPJrxbcdHRfmoGAO09xGYQmSMPAPqmObQaaTwh0BzE9zgrygLAWhd6lWbg79WoE+B/TTfsV199E7vPoRYt2LG4PWjc99XmLLvd3nN8RgGgb6BjXd83ALQqArLbpAEMrdIWAKycDS0A2OzOl/P9twUA9aaJ2j0dlV6gNgsA6iLmwSMA6IVN9XOYV+bdZQHgR59+Hjsh7c1I5HAyGBccNWMA0DpBsL0CVCl5kCKHrygA9KLZXisrtS7xyOx3lvDuASAPSTK6aLKpDCN/WTtHHgC020mJEgCInVxWwN96cez7dQDQahXm7UPLH9IDzmeb1Cl784Ojw18GjYp+mwCQdgPAMZPCCZc9HDM/8EwJ63PM37UM4JYrBMrACl+iREuQ7j8b8IAO2G6VgFPJVbe/GDviF11w7oYyGctQHu7Voy0DWAoALtIhfP1NBQCeeeD6kV+Ky4HCer0qs2U7XjXO+nbb3yGrSD5DBBu5GQXZ6wtveDr+eUv/io/3zACAvsRut2emAkDjj04mWDaKAv5Y4/31tIpGZCqgqagxCucga4mYBwBtgxXzfpsA0Hah995rrQYXEllU4mYCAGyPPzy/QfJMdj99FwCwiJB+6tjNrAygBYCy20QCiucptJVjdl251QX839wFnPfgK/JdHgDk5nzA2fcnp1GGJGsdEyd9HA7s90DAxgpNNW9R1QwAwj268OhKBtB7W2qdEsTk7yxx0awMIARrz0dRiY4MxsDqupm7PRlAW76JN7Cq/6UcIhbsOGe46qRfFzlEcUwWAJT8iDJ9XjTbSyWkVmidMvS97dTzABBBXUqlaJnpJmwFaTVHUQBI+QgASIkjK+AdkokDnCmsVmHejrT8oRoAvGhYFDdWqFHiliGVjmEBQF8qTq2HOW05kL9TloZyudEc4gD+fqsVAo0gCs8VpEkCSRAb3bv+Mhyw/SqxFMT1QVd+pwXmrpPJ0Xh51+rvlGh31v6Di8t1Mv6dj6JLRQSARmfSAkCuaRphbMer5rW+3XZdV/TZLHIXiWMuHBrlZhRqIODvW/r/Ngoi57l4NLuYkBLqvPT8Nbmn1HiJRfOd75j1SgPNMoC2uYoO7YmTKt7jOu6U9uEGZ4VVEoCm8nZ1ecbnAUCvm4p8z1rVDCCWhQfOxAygXh5FM/Av67K24znAeeSrLs2Omb5HmslLiUn7VGO+jQzgDwkAym4TG0hewFsAsHLkWxnAoldRYty3BQDfef+TCB5J/W+9/lINJvXNAKAFYVff8WLS4xS7LsosRFkAiMQC5HbbhagbiAWfzN0eAEiJ2Wa0pFMoALhAxzkD/KeikQUAJT+iblx/8/dSCan1WacMfW+J2ikASKkULpVuwn4M8+QBQFuqJvvGdv7+lHwASBOI5FyY/7YB3aO+WLOw5SMBQJ9tkpeqAJW63IsCQMsVjADw1ffCSVeMrHO0eb6aFdT2SgbGA0DPFZyvwxzh/an1ABApiD9sv0qQxiHb22nBn9V1SWs9XrIpZduXtQ/pXuXBDaUDN5b7Hq8HgGccuF507iHU3GA7XjWv9e2267qs96Zxuwn/ssZLjazYagDwlXdrJedmx91/j5g4WVevx2jH5QFArzVqJYJSJWDLrUUO6O33KwBQx70ZAMQdRGLyZILeNd7luQDQ8GtZXx0ArL6YZ+27siXgWhPS6ouGXnuu2ZABhKZAWRg7Q84jtEJt1rfoMUwBQLkfaY4ZBYBeRJ95izgppX7DTMsAmkSBrlusI+Fgw6s9tpUBbAHAohdRalx7ASAduEfutkbmqrlZycYIoAbIsJEFAFNZuL/c+WLS43TbDZeq2Q6VA4BtJTUr7lprQDHlZ7a5XQDQdPAxh7pqa/qI88wZydBFIxMA/umRWFpUs4fn/3iidGp9KiPa7yw5PwUAbx4yOvqZchMmw9u95+0NU5cBgGxnj1MHZ+4OyPmjXp8crr7zxdqY2879bfR0bhb24aEHnAcbKpPakioi2p4rmFoXc9pSMX/L0tDqWaoxRHNI263HViuEXU0G0Dc6YCGIK4QNzv0Dd1g12IwlPDPbJKPxXrJJmQR9D4bO0oOuAMCvY/kRAIW7hXWaoSwM0CXISCANJJ9ou73yv/X77397dQuLV3U4jx74UJ0PsjpIWUbC5BKKb3bMU9+fffAGYZVl5q85/qTGWADoJVO83aRt/EkBQEutgPP7nyqA03GH23ltTgbQ+on7c6AMAESrEb4YQRbxD/3SVR2+LwsAbRNSzx5dGqo1+/125fgZdoY0gXw2/avwpz6bR9vCMkEHMJl8G3kAsCg9xM73QweAytzvusVyUe6JF65jd2uVgFsZwDJXkhubBwC5ULNuFuqSzFq1tTHaZoNfBt4UbTQFgIvNE71ZCYj/KY9TCWIyJsteKFUCtl2Vljuo8pKVoGHu9gBAdNtsRksPjzFvfhAzHQhkX33KloWPXBYAlP6c5F68aLbnyaRWaK3S9L0l53sAiH/yzQ+OicLZcHx+s/5SgSYQH0UBIOVBMoAInWYF3CyaQHiYKKxbSd6OtA+PGgB0YENZMv9A840JqfUwp5WV4W/x/ey5JG1AzSG9vB6/WSHsunlbCdgDQLLF701xAHCDpcKBO64aLGcxCwD6hi2abaAoKPIcQWg+oHMT/holVDKADz75Zm1ZCwDV6OH5agyG54nAtY9LenYLSyxcEWI/auBDUW9QwTlBppgQ2BewLnzhmIFkMFddZoHgLfnsXPIG57OmAPCKkdEOkUgBQEutgPLxbvUY6rhbn+is36Nrz/NAUwBQoMfzgC0AVGUma31lAWCNgvCrToEXJl+t2WeblSJtA5F+MoA0ttiyf9HjeN3glxo0Lg/acdVAckFhr5ui1QG7/vOvf6qO3sB3iJFvtEanoptZG/dtZADVvQ9fmKpGCwBWdncLAJY+PdsWyAOAXKjw+FLRDAC+P/WzsM/p90YPyG27VoQrbWQBwFQjxrV3jUpaXMGDkuVRlr1QCgBaYV3b2ZdyIWGb2wMArYgrc8jKasyED8LRA4cGynp/mQkAUPpzEnz2GmCeJ5M6ltYqTd/bMk0SAA4ZEx/oB1YB4PYzCABxAtmr7z2ZZzIA8KU3JseGB4XKgs1Of/vw0APOgw2BpJqwcrVxwpeKU+tiTlsqjgCwqmdp5YwkAaQ5JO7rAaDnuVnwoGV58PEAtF3Liy34szqOpMZ6vq7I5PoelwZAXirI5lGKfOu9TwJdtNibNQOAtuNVc8IRsxZy+txaMR55wUNRb1BBgxE2Y4QAoOdRNjv29ns4jKstu0AY+u8JNYFpv3weAJQfsZax4t8pAGipFRbE67gXAYDqrvdakCkAKE6sVwL4NgGg7h16gfIAcK+tV4xZafYPANBrrxY9fkkAuMMqYZsNf1mbog4AFqwO2PWf/7en6hqc+O77BoCWKiT9TjRDqWrwDO25e+dWE0irCaToZdQ47tsCgNbGyGbqtAV0DJ5x4PoNGyQCvO3Exf3BC0mzIFIYSJhEe6G+W4aOP6s4CthIAUDeRuHoEbaskyrbMUYAiO6rfbZdudDObgCA/bYJc/xk1mAdUuAfFo2sDKDKUGimdeuyWIMXp39LTq1PZUT73RXHbxZlRezv1/dkZmnq4YEOD41mHOt7rHF5GUCrV4hEBQ/7vU7LBoCU5sgAQjJXqDO02T60548A4JHnP1SnqyZKg7VWgwDuGxNS62JOWyrmb9EJLJ9U/E/NgdwQXa97/mbFAK9H4buFPf+LcRjCH7zTarEZhwcs20/mzXIkNZ+na0hOQt/j0oA8RyroYgYA0sCAFA/2ZhYA2iYQdfqiRwhgtEGJ3QpI186lozcOy3Sq+A37Y0L2mqYmQhkdNdc0O+ap78lWrrbcAvEhz8M+FZzb0f4uoZmnlzgtd2qVfsHfKQBoM+tk/CdVeZw67jT3NLsHSF/T3rNYnwCgfTnTPvIAELeWLitUSsCUobOkvfg+LwNom1o0zjdNeboOLzfYN/LSDQAk82x5n0WP43V3v9TgJkX1IQsAFq0O2PWnACBuNBv/6vvLAFoAKAcfKCN4orcAYOXotTKARa+ixLhcAHj8ZpkdY7LKylq1BUC2WUPjmwFAq8WXuviZBzFcMjbwl7L8JVMAEGmaT6Z9GTfF3tSVXSDr8b+9KtIdRHsAoAXAzCEnAzIcZDqK3Pztvm0GAOX560Wz/U0ydbxSANDepH0GcODRG4dbh4yJnrAHbNc5loCxgvNRFABSOgQAkjHOCgAgGUAI5YqiANBmkPXgOuL8ITVvVubT+exlLTwvLbV9zGllZfhb2QjbzKTyv+YAaPAZWZJdNmsDgJ7nhh3UO+9/WrdqDwDJyNNMYTmSWsBn6yUoq+/prkUSKRUAwC+//Do2MCDFc89jb0QtQIUVggbIk8H3HauMJUNku4e1vM24NQDAqoYcY5Xdem7Me+HEyyqcw7IhADjkqTdrAtN+jlwAWH2J0zLW/zkFAG1m3XZy67gXqQLIt5kuWsqnihQAFOjxYvAcIxoGCHGzs/ZdWQCoDLQy6B4AKltFBhMZGG+/WfQYppIAVB+2zcgAFr032PWfd91TdRqXfPd9AECE18WphvsprrjOBV4Y2R88Q3u1MoAtAFj0IkqNywOAOBhkiYY2A4Do7EnWgyYBbJFsZJWApYFm3ThS6X/msgDQdvPa9aQAIJpUkJEJATP+r+yC1W7j8/aUgKd8OK0uo6UbUhsAnD1cc2q2BIQ/VlkAUJ2IAoBeiNXfJFPngHhk9jtLzk8CwIfGxIwOXX6AkR1739kwdR4AtJZ17QWAEgdudv6nAODh5w2pebOyPKLicM7kbCD7NF8qTq0rAkAjK8PftWYmw2VV9ldzkB2E8+YBoC9z2g5SLUvW9RCTAQTk8eJiS+Qa669VDwCx6UKfLRVkFQGHAFCkeAY/Wg8ArRewpF5SgNX6dtc9dI/oGpZfYt74kQflkPwvu/m5+N3MAIB0LK++3IIxgymBaf+beblRRtKLJlt/bJZrDgArkkKE5fDpuBcBgCr74aSBhIoiVQIWJcLbQc4sAJjyAlYGWjQDDwDFV0PzkGaijz79Ith7S7NrV9+nACDVB6pLClsCLnpvsOsfcN2TDVlqeI1obJaNGeEA1jX/GK647DZVVm8BwMpRaWUAy56dZnx7AaAemFmrtjp4PIDgDtnIygCm7NhSEgDMhSL6bWQAv/6mTs7FricFAO3N1PLIJNPBQ+/S4yr2XUR7MoDotu1tSppajzySm3UA+v2aBQClRaYbVUqHq3vXpXPPEL3F20F/7Nkt0AFqf799+MBvopS2f3cygEvW+R5rXFEASPco4GvfM7IzgGSKXho7OVxpMoAWvOf9QPtQUobjsAEP1rxZWVaASu4NsrbyvLTUepjTlor5W1xWm8nWsdccsvdqAICj3wsnXd6W5Upl1HipokRqvYvpprUlcq3HX6s0J9GkpECqCXmOVMDnAwBSOoSHOfiRcVELUIHEyOlXPRb/XLfzQlEbMlWyBiDYzKGWJ6u44lIVAOhBuUSE+U4NDl5KJ/fEdl9Srl5jeQDg+DDw7xWBaR95ANCfb9LgZI5UBtBeV7bxTMe9SCOYOj89TzOVAdRLZgMA/MN6sWGAeHfKp2H/M9PuTnxfNgPorRN9wx73AHzDud8SngpIAAAgAElEQVRRAua8u6RXt7BEtfO76PFL8cDzAGDRe4Nd/w8FALKfxKm254joAHtvs1JsjMRRptceLQ5gCwAWvYoS4/IAIGXALN/IZgDQ2hilbv5NAeASHcN5R1T8eFMq8HwOJw8gkmcwngKAtuRlu8VS9l2spz0AUE0w2uUqzwgENNMA84eqGQBUqcKLZlOi7b5RPgDUTdyu05LzfQYQh5Zbh46JJT1kHgBPciywcxQFgDycAID7nZkNACnNjXrj/XDlbW0lYJ+RyboMUgDw0AEPRnFjxbbVrlpvbu+zUql18NC05xl/pzLZ3lpMennc0HfedNna1L7MaUWENQgXHKRzZHPHSxYZQFsi11h/rcpUXt/P8ZNZwrQMAIiDBYLEdLBShsd5h05gBT6zZ/y5AgCl9ZfqWra+3XYfyp6NzzwAJHt9xa3Px+ECJrpG23PLw8uYc+3+x8eHi25MA0ABK+b3osk+qyQbRsamAKC9rmwTh467Le9l/R51bP/oRyFynRUCqvbaFOi56Ian60C6gC/L0k2ed52VBYD2BeSIXdcIHqhJtJgMKPfpqR9/Hmznd9HjmAKAiEzbl1ubASx6b7DrH/DXJyOtxYYqK0W3U+NmJANo9R8tAAQUsg/33XalmFluAcDK3m4BwLJnpxmfBwCxsDrk3LRxeDMAaG2MUvyfrBKwjNqRShggAJjwgeQnFAKATu6D5ezbtNWLkk4bJPbLj9+8tpfaUwKWDI4mEdDEUosHXTMbKH9IswCgHCjUrea78CjR0iyTFykAaDMhKQCIXh56cPtuu3IsAe9ywqCGVRQFgJwLAEB0I7MCAAgH8E+3VQAB4Un5WcvafaIHHOc1Mh+1G3ZVWBmqAo0HsobzoCS1jggAzXnG37VMtnmR8bIi8nf1ANCDnFRTha4/2dzxNwDQAmRtq7KF+nvPUweHDz5us5bz/DL7G1k35WGAQwoAnrTv2uHMqx+PiwgApnQLU1UAlpE4M//3WVkyPDreOm5eS7HMrU+l0PsfH1cTmPbL5wFAzysrAwB/9tOfBGgxhI57EQDoG3a0veJOWgcegZ48AOjvS/73l5WB0fknmoEHarItgwNJpYbzzlYXih6/JAB0L7cWAPqO7SLrOfevTzZ0qn/fANDSBGS3KW3F1ZadPxy3xyqtLuBWF3CR0zs9pr0AUBmIrDVbGyPM6P2bVTYArBi1WwBorbzs+siaAESQsLDOFXZMisQv4Vveqm8/b7vacKzGEPQl43JFn0YAWKYL2L9pi8M07u0Pw2HnDQnNjOD9fhUI89smBwop1nsOzv7dVw7bb7xM7gmit3g7yJLzPQAkO0jmFS4Vb6OcC7ue2OjjmwcA7UOKbDAAMK87EUD68huTaxkhtrXoTd6WxfWAO7j/A2HCux/XfjIgGbBMhgsdNfhsJ+23TkNWKgsA2lIx60i9yHhOGVxTQCFaaTuZDKAHOdZHVusXANS1wd+U1SxArgHAKl+wBgD7Dg4ffNQGAHFpQJ4jFZxvAECAA+fE3SPrM4An7LN2OPsvFQAoseeUcwnbRwexD2nz8bnPyspGjO903HSNtueOp25YxKwv/kdFX9AH2W28jAnZWWqMlx06/apHwxOj/hO/TmUAlZ3le9vFq+NexA3IZ2u1LRKsttemXoguvOHfdeV2cR9Z1lcm/O8vmwG05x/XsAdq0HRQDOCcIHvFeWerC0WPY0oL1lc3LAD0ot1F1pMCgFJXKLK8HVMmA8jLAV7xCjrypapgAaDAPvd0uL4tAFjZY60MYNmz04xvLwD0WQW/CfYkxmcV0WAbzQAgavnnHt41LmJvpHYOygtILQAA6ZTijdpHHokfAVyAmUJCvXCuEMFWtKcE7Lk2yjSqDIgsAiLURSMLAMqBQp6V/kbJ2+IOm+QDwNT+he8lcn4KACJyC6cL8EIJuCwAtA8pbmQ8PLJ8p9lHAMBX3pgcLq+WBON5cdbW4adzzNZ0F6YAIM1NADIFDUXwGe959I2oPScA6EFJamU8NG0HK3+PfG5i6HfNE8Gex96FQXp5HgB6kJMSVlbGRTZ3gHAySyqZ2u1Ux7A+26vv4DDFAEBcGqwwtF2Wa+GLL76KEiYcg7seHltXAu6z91rxdxK6zr1oMd+lGsH43IITZWVV7uQBL87nzACA0sODj0ynbCryAKCXFjnjqsci15NIAsD7Xql5M9t9rONeBAD6Y6VtTgFAvRDR4OK1GpG/IWY2ALTnH5QEDwC5rnhZ5N6ME8jkD6cHu4+bXrzVASk3KF/dmFEA2P/aJ8IIJ1YufdWi2+mfGfBr/9lv2+Tiuq96AAjnVqoKFgBqvOz1Vl1m/tD7960MYAsAlj07zfg8AEi31qEDhiRnbwYAbSeTyOF2oiwAmHpwpjJUzIV2GlILgE1rXWbXk0fiR/+Mm7qCJoPjLhke6GK88oQtap+3pwTs9bb0AJPBvL/omx3CrBKwAGDvvdYMG662aMMNmBLtjt2aAEDzoNJ2WHJ+CgAi7E0zAA0MeD3DVfKRlwG0AJAbGQAwz6KK0tzL46YErO4URQGg7YzWcTjonPvrtOqU3RU4QNLk5P3XiRQIWypOHSfmtFxB/uaF55xrnggrLTVv6H9Y5UXGuzCotEsWdcdubRxA7xiijJFdt6RdxI/lesRRw+4fjRe/UX/vfdrg+CBWeI05ux46kKd/8VWgqYljcNfIN+oauo7fa61wzrVVAFh1+7AND5orJQXFd7ZD9ZBzH4iWc3ImAZAD3m2m3u+bZteN/V4AUCA/tazNTnnA7q0Hz/zzY+GxF7MBoK1c2CyrjjsC31c18QOnkYx97wNrxBWWmDfYErCuhzwA6JvT/LxlS8Bq0NPzwHfrSqwfsIsMjM6jpavaj0WPXwoAcn4AMBUWAP79zK1j1rVMcB57t5rvAgD6ZICtnkkuzErDKDPeAoCVo9sCgGXOcjc2DwDSrXVYFgB0ZaXUJgg4SCDWjskCgHpw2sxJiqPGXAAMygu8MbUHANINDLFbQYmx1x+HB3w7/+/EGQOA/mGvG6t4YDMbAPIgRrrEv4H77FLqOInHY7+z5HwPAOHwoL9IMwAAkJv/7iff3TB1HgC0DyluZDiBZLnOMDFZA5w0JAvCZ0UB4JW3PV9zjNFxAGzygFeQTd5r65Wi1y3lQaRpAAwCJXmXGHNarmAEgM9OjMBo5V/OFx00CJ8VVnevB+l6EdE6U966DQBw/SVj17bdP1pevsH624MKslfIc6SiAgC/rGVuaJKxpVwyz5TOCLl9wG+1HEO+s77ddj3WpUL7epYf/yiWC1XqgrLxrypVw++bMrc+rUtl/tSyuQBwQPfAtimaAUDbvGalp3Tc6ZbGcjEv6Iz3PtCMR5JnhSXrAeANZ24dPXe9p60cUFjOy1P5dZcFgLJZVBe912zVcQfsckzfJ5NsxLaLHr/SAPCM34S5f/qTotPHcWkAuEbYdM3FS83D4DIlYA8AkftB9JmQW4xNqKg5qgUAK4elBQBLn55tC+QBQB70PNhS4ctKqTEirSJCir2VjWYA0GZOUjIlzLXbFsuHm4eMjgDwqpO2CAt2/GnDZnhxWTuA7sebTHr+lXGTQ8+Lh0cZC3tjbk8GsDkAnC1cf8bWhY9cVgZQHrQCgP4G7BsMUitMcSwtOT8FABFMJluGKCk3f2k+2vmLAsBVliYDuFqm6DhzpgCgHnjNdiK8OLaXqAHAs++P4sYKssn8FjUICAB6rmBqXcxpGxj4e8Szb4X+1z4ZOi89X+h3SAUA+vKb9PI8ANSLiNalpgG7bgHAWgZm/SXDUgv/PFxa1c2zY9FKo6FC0QgA2xoU/O9jG5GIoWQMOEImxwJAmo8GXFdx1RDX11otaj5r22jXQZaVbCuhfa0mLZHdZxYARLJmrZUWipqkchjxv9cCQH8Ne3/ZZgDQylfZTmsd9yIAkMYoxJt9KENvM4DKenlPWwlgM8fMAoCitEijVdaE/v7Dc4KsMS/VAEBxSZddrGOzy7bue9/cxpee32wzgHDqeMkuE2TsPVVJHutl5mHsjABAMu47OwBopWFwdyLT3wKAlaPSAoBlz04zPg8AcjM84vyHkrMXAYDSLaJd/ZnRFdN0RSYATGROUkLFzIPIKN9BUgewcUP1kSfjQVnmxrO2qS0iqy7PzWkPAPQEcp8BpDzBDbtoZAFAedAev/dakYPlRbO9xlxqfeLx2O9s1sADQGQc7hjxegQC2BLhBIK2nI+iAJAsGQAwS3KIeTkXAUYW4BQt81h/ZD24Djj7vjp3DV4mfr/VCuGBJ8aHC294OqBN2PeA9YIvFaf2H8fWcgX5e/jTb4Vzr3syAG4B04Qvv0kvz/M09SKidUk2xK5b9m7KwHA9LrVIh9jA4qP7Rr8MB2zXBgD3Of2emIlRpACbvuPBDQBU9yZ2YBYAoj8pWzXZvaUyiuKC+W07cd+1w7qdF44fi5cpmSbJXViurgfHRa8fxglsSuontWweAFQjl5Y76+rHou4hkeIA6tjwvdUe1XH3lYbU9vjzVGOUobcAUKDHW5rVAcCPpuV6bhfNAAoMq+QrmoG//8BNJeMK6AXEqJt8ucVnHAD668YCwOtO2yp0mHv2MqdH6HfN42Hkc2/XLXPUbmuEzdb6bjOAVkFDerGWU4+/O/dB7i3H92hxAFsAsNRpXj84DwDC+Tlq4NDk7Hrjy1u1rGt4U3luzKS6oVkAUJkTWzpLWZUx2R6/Xj78c8iYqJDfHgDoQZgAoJdnaBcAfO/juoyWbqwT3v0oAh1KNWSwikYzAAgZf/1VFwn2ocPc3mc2tb6UzqIl5zcAwF7dYkYNIABoogTc49TBDVOXAYAQyLMkh5g4AsBxU+oyN38vWObhbZnMFaGHuM+sYFnFC4VEgtGLQzfuwH73Rx/cvODY2lIxfw97ekLMjHHun3VwBQDSAbln37b9JL08n8nwnsEpACjnBZuBWWqRn8cGFh/qcNbn+55+T82Xls+sRp1fFrAy/fMva/ptdz48Nj7QFXRJXnD9v+OfG6/RKVpppZpKaESiYcvHCfusFdZbZZH4scC2nEmgL/xl0KhYdgVwENAAel08vOhlUzcOzcK1V14ongspriSDrUSJzwBaySjG0v1MtzeRAoA2G2a1R3XcPdc49aOyzr8UAKSpDDDvLc3sy5w/B/06CwPAc38bZpnlxzXKiWgG/v6j7m+oBDiBoCdpG8yKHkivb8py/88CwOlf1mS1BABtY4g8slsAsHL2tABg0asoMS4PAMLVQOA2FZ5YnhojGyPKuaPGTq4bkiUEnQKA1lTdTgL4uOmB0REAwtnjjdpHno6b5+HJq9Ur9LenC9hLfujGqs/xI77BZB+bHcIsANjr4mERGOlB6l1TMGPfdfPlc6dPOa1Ycn4KAA4aMTaW0gBOAEALbLSyPABoeUqcHzSBNAOAr4ybUpfhKlrmuezmZ2MZilDmYv8z740PIwWZzF23AABWbML0guK5gqkdybG1pWL+HvrvCeG8vz0VpRrOPKgCAK0/Nn9LL68ZAATYjZ34Yd2q5b0qkMH1uOQiHcIlNzV2t6rDWRN4XlkuAOw4ZxSJxsGBprA7RtQDQEpkctXAMgt3mJSsjPTg/P4TdYHPBXbkTCLHAwsAfXa02XVjv0ezcJ3OC9fs/lLL5gFAD46aAUDbEGG1R3XciwBA362ube53yAah89Lz10qNfK6sVwMAPHD9oC5gfw76feBBrv2e7K+6zNURLc4xJf4Dtl+l4QVUAuDICZEBpDlODSxljp13OGJZT52wGcC/9t0q0IxUJuzx1HJH7rpG2Hzt7zgDmASAX9XsNqmW8KIHvaRPj1VbOoAtHcAyp3n92DwAiNTAsRcNS05eBADKxmj5JToGHt42sgDg8GfeiqRymwFE6y/lccpD+6YHR8cS1ZUnbB4Wmm+uhm3NA4BejHnMhA/C0QOHBnVeabL2AEAv+quHh9wFfPm52RHMAoA9Lx4W9y16bAjx+nKugE3e/P6tnbGWnO8BIECATBCacGTN4ADu1feehlUUBYA0/NAEktVwxMQ8mHn42wyXMh7N9t2lNz8bt5XQgws3BMpRCpXKhzz1Zsxo6fzMKsHZdXJs7YOavx966s1wPvMsu0A446D14/CPP/28rlmG84yysO9m1IuI1oEuHR7SNgQAayW4DZcKWIyl9O3IvpEtUfjfnmra0FiyVdOmfxmbRBCGJ/Nrfb15QMpVo1uXTlEc3DY8aB40O+Hy+pB8EZ8LbGt5eZ4Cnm49t5IB9NnRZsfefq9yM78hpZfIWOtSkdXJrzltyTCVAbQNWWpsYVkdd7JifzqhTW4q9VuyutDPPniDsMoy9QBQoMdbmtkScDMA6MvcdpssAJQotpozRDPwL5PygKbzGQAoT2kaWMpEGgDWd8/LfpF5rz11y9Dx53OUWUVdRlcLfh8A0LpoyTHKNoYc8bvV43XOM/KEPVsAsJUBLHWa1w/OA4Ck6mmKSIXvLEyN2e3EQeGTaV+GZRebJ4x+84O6IVklYHGnLHkeHamUxynZrX8+MDpmKNoDAL0f72sTPoglb3VeaYPbUwLOBICTPo7drrgvoNtVNDIB4EXDwivjpwQ93HxDB1lS+G154Xk7jLXkfA8AAQI8DMiqMTcA0Poea115ANAS1RH9JgOIQHZW8GAm02kzXEV5PhD+BVok5uvLoGqWIYMFh0qZO8SpAQJ5UQGAbbIy/O2BJMt/Ou2LOr1Ezj+aK7yemV5EtM6lO3UIr02oB4CArWP26FIrwdHo8ctFfp50uECMd18DAH32MyXbonWTrQIAfvxZFQCOeL0GphmjhxH/18M+5S0sSzC/H2VhyOd/qDbmyJkE+gIA18o1zQgA1EvS7cNfSzqmsA3Wp5bmC7nTeNF4xtqmgRQAtJqcEp9nOR13rzeaOseyXmAloG2vzWv7bhk6/myO4C3NLAAkk5vi62rdXurGbtOgEa/XdDhliycAKJqBp5PopQAxczpZabzqf9iGYaWl5it664vjCgHAF9+p2RJec+qWEWiXiXQGcPWw+dpLlJkmjp2RJhB7nxAAtLzAI3ddPV7nLQBYOSwtAFj69GxbIA8AkqrP4tv4zsLUJsjGSObndkxmBjBBnkdyRIKwdg4yBGgE5gFAby9ll7cim3wun14PDNuTAZTen9anDKC0xchy/OPstEBoal9mAcBjLxoaXh3/QVB5y0u6wJPcfcsVcs8Q37nHYEvOTwFABIHJAu66xXKxBLzP6Y0+vkUBIBliAGBWx3l8MJMBHD+lTsC3KAAENKpxQZkL3wihcpJKt+LuZXVh2h3KsbWlYv5WKVlcQsbbN3v+FvDyAFAvIlrHMp06hDEOAGKveKwBgJTgaAJJedx6Bxv/m3IBYIc5wmeffxWFoi8/frOAALiyqWwfx02gXABQHD67jzgXbrz/1Ybz0DotKNsKPYIXR17wrrv75ToAOPrNKeGYC9NViWa3QdEksu4n8Tzr1S06qhAWANpOZK3HyoakAGBKusQe9yIAMKuJDV4f52j3nrfXfrayXt7RwvJ5saNLdexrEi92bfepzQDKd1jduaIZeAAoXihi5ugAwqe1ElPNjpm+TwFAL3El/22WyXKGylufberROMDWDwIAmrIwjSk0qrUAYOUotQBg0asoMS4PAPKm1vuSEcnZiwBA2RilZCyyAKDI87Z7MuuNHQCIRuBn07+Kzh3cUH3kOTn4bl8BQL11aa72AEA5fmgOAUARy2c2ABTB3Ytmq7s17xRJAUBLzk8CwJFjw50jxkYxbjpQSwPAvz0V+WLEcovPE4FEVse5HsyvjptSV+JsDwDUg8tLoagM65s3fLk0tR8jADSyMvytbmIkkOBTElbegb/VfestrSj3ImCuWGaxeQJlYRsNAHAjMoAd4oPBhweAPqupjFTqt8GH/XT6l9Eq7ooqABSfkvE076jzmMYU3GHI2NG1aAOqAPQEH1ZmowYAq84kZK+hJ9BAQeaW8OXxMrc+ndNZFQXmgt6wuADglE/D/mdW/Km9axCfWeeIMgBQx93bOqZ+S5aTEVm9zsvMH7bv1QYABXq8o4UFgJ6G4Nfp7e7s9xYAyndYzRmiGXgKirQhETPHCeSt99oHAK2Yu7bJS1zJfpHv2wMArayP1kGGe4t1vtsMIC9bEtYXTcm+PCJODU+5BQArR6kFAMvcBd3YPADImxpOE6kQ6Tdv1TQG0HWWsrLKKgH7DAzzZ3F2uAEAeLg42gMAvQ7XG29/GLNQ3qe3PSVgzaX94wGg1yBsdgizMoDHXDg0ltcFAL1odl4WTuv06v18bsn5HgBe1nvTWP7luFDawwmExgIfuRlAAwChCAAALejxc/FghutoOW5Fid7YfqFZSOjB5d0wBMLEQdULSJYQr90+jq3lCvL3/Y+Pj9k4yckw3nby8bfkUlD27961zdFALyJaBwCZLK8NGi6QYFGZEQ7W0ovOEx8MPuDfca0oygBAsuSAP66xK/psFnCAUUc180mSgv+3AcAfRXtGGzQLwQ/zYTMs2i45k2gZMoo3zwQAqE75LE4x2zYzAWBKu84ed3hxlx+fzwHU9e332+l/WC9mALc/7o7aVwI9XtC4HADcNsw26yzJ25EtAct2Tpk50Qw8BQVxekTRETMnA0gTnNUYbXbf0/dX/uv5eO7ZaASAFR95IssYIG99PxQACN1i96qzkp5Ftix87B6/ivximudO3Gu1VhNIqwmk6GXUOC4PANJp1ufSh5OTe22x1CBlWXjT9VIaWRnAFAC0Nx67HnTCbrivAgB5OC0y/9wNm5Fn5eVJ2Fk+ve3JAPqHuAeAeR6RqX2ZBQDp0iYrIs6eB4ByuMg7Q7x7CGOP67Fm6LrGonGxFACEU8cNmfnR+lKmxK4nDwDaTkUyXIftvFqm5JAezPC/4L4oxHlqdvZffOPTNf/am87eJswx+6yxa5mXEwXq+ttu+MuagLOakDxXMLUujq0tq1YA4Li4rRKUZrmvvvq67oEtoOMBoH95WH7xjrH8bYPSWs8eXYLlYMEVlCSLHeszgL6xJeXdq+XhUX02/YuYZYdnS/bMAkCJ0sKR22zNxaM9oKzc7DbQjHTd4EYACPBHKoTQPqQ7P5Yqf718uP7eV0IdAKw2ajU75qnvpZWZpSrAMvBbyVYRNAmRASZsJ7LmtqXWVAYwVbZkWR33IgCwZ5Xj638PEkUAwB0MAJQfuhc0rgOABlyk9pEy5KnvbAZQLjzKzOkc8wCQxjQyc0gZIQOD1Z8aWMocwxQA9BqnshFl3ixjgLx1pgDg4b9bPeC7XTZmhANos7QCgDYrCG8WhYEWAKwclVYGsOzZacbnAUCIxideNjI5exEAqOwJ8iyeSJ8FAEXCt/ppWbpd8LZuvP+VWnlqkQVSALDiL5oKfwNO+fRaD0b/IM3b7VkAUJ2F3oau2SHMBIADH4r8MLkceNHsItucAoCWnO8BIFwweGDwwZifDKDI8vZ3FAWAABeAAB3YWcGDmQyg5bgV7fS76IanIzAh9ODa89TBdXZlB++0avwd3sIty4vVbmcEgEZWhr/lKYwN4in7rxuH23OJvyWXgksHlArFuLc/rGuISXXRI7rcq8eaNQAIB2vpRTvEzABhQZhvArHlasbmA8DZIx9Pnfb/Gvpa5H4qZEtlASD//6Y+ARgtA6+966WGw0sJmRcIQvtQsjTQFwAU9lrx/Mhm1439XlntLF1RxmYBQNuJrDlts0UZAKjjTmME11JeSOjdj4FWsMoy89WkQfheoMcLGlsAaIFEar3KkKe+SwFAATNlmT0HeZ2VF4p+yRUA+E301VYDS5ljZ+0ctZwHgLp2477IMAbIW+cZVz0W6CS28X0AQMvTFAC0WUFezhGZRz3hpL1bGcAWACxzJbmxFgD2OH1I3Y0bnslJV6QBoBeXTW2CbujSvbJjskrAks+w+mlZyv1IW3DD4QEFP6ksAOy04Nzhst5tN2B17lqBaOvB6EtpebvdP6iUARSx3GY1ihy+LAAojpBkW/zDzUuApNZluxX1vSXnewDIviYDSDYIAIgTCOU7H3kA0EpVIHOCtlUeuZ8HMxlAy3Er2ul34Q3/jtw0QgBQ/FRtM+KqNLMoiyArQl8qTu0/jq3lCvI3TSc0R2BzRnZWYfel5E6UfdQY30BElzQd0ITAFbZrvfZcM1gS/jKd5omZAcIKD/tzwGsbSpbE/jatB34g15e0Nimfwv1UyJieJgkcE/CHTkUWABTwZhntQ8nS0GB0432vBpst9/zIIteOxvTea82w4WqLRvcgBKZTYQEgtmWiNthOZC1nz+EUAEzx1lhWx93ff1LbI6tH/x3XOy/J8ozle4GePADoO9H9vMqQp7bFVmLkwiObRVUaeCGncUfB+Q+oQssSADj+nY+C7UouevysnaOW8QBQGrJ8n6UKkbe+FAC0Geqi28q4GckAWgAon2D7mfy3WwCwckRaALDMmenGWgC45+lDwtfmzZ03x5OveCQ5uxeXTQ1SqSmVYcjMACb007K8OyHu33Dvy/EBxZs0b9Q+8rxc4aX8b69Na4ukXDqsB2ORbJom81IeNQBYJZZbYnuRw5cFAOHN8VBsA4BjwtV3vlibsghQT3UrWgukFAAc/Oi46OxAdgkZmAPOvr/hZxQGgIt0iDqAWZqTTMyDmQ5QiQ7zWVGiN7w4unIJ+QfTCclNVaEb/SPPV3hE3FzPPbxr2Kvv4CjVkhccW1sqrgDAN6JmIRmQk/ZLA0D5w3oA6CWE2JaX3qgIqSuzB7meB4El4dMtLF9e6z3rr1XvLpECgFoPDVGffvZFxW7xpC3iMbcAkA5mgA7jN1tzsUwAKFcPvx/tb1fFQE0p6hy2ANBn1otcOxojzcEsb3GdZyoBWwCYul4tjSEFAFNZK9ahY1MEAPa5dER44bX3G34m1zs6gPKMZYDE8L2cCXzBNZZfMM7RDADqBSm1X+KR968AACAASURBVG0GUC48slmUl7YHgFAgEGjmJY+XaegNNiNZ9PilAKB3ORJ/lznbAwBPv+rR8MSo/9Rt0vcBAK1UjwCg/YxMNjzPFgCsHKoWACx6FSXGWQC41xkPxbc0BTyTU//UfgCoB03KaSALANb004yALtZTKY9THj50nUmiIgUAs5T0+Y2UJRAYVqRcOixvqxQAfPODOhcVAUDxilIZhbzDmAkAz38ovD5xauh7wLqhywq/CJ7gXqRZJwUALTm/AQD22Szc88i4cMtDYwLggtIpWSUfuQDwr0+GYc+8FRfhOFBqyQOANJ7QCGGbHIoCQOs6ogeXJIq0zfq96iQk6zbgiI2CLxWnjhHH1srK8LdeWtbtvFA4cd80AJRcykE7rBK22bCtBJwHAOUoseFqi4Tee61V00cDiJMBpDREWDcO/xLg/Y1p9LDewCyv9ZCNo/xEVy/E+luHjonNPwpcTBBpbwYAydYDVn1Y/qNAtACptANtw9QMAcAqr9XzZO02cZ51WrDCAXx/6me17vZUxt567qYAYAq0MK+OO81xlx6XXwI+8bKHG2w0mQPKB41Ku5wwqLb5Aj15ANBLEfnjURQAyoXnilueq8hBbb5c6PGbiiwXTWUKZJD+/cq7AZoHTSAAQAtIiz66rJ+3lvEAUB38fJ/VFJi3vjQAXC1suW6FolAmZiQDaMW6BQDtZzQz9bumBQB1PFoAsMyZ6cZaALj3mQ/Vde8BKvpe+Why9iIZQIEvkZ7tRFklYOmnWYCobErDw6MKAHlA2Ru3HZcHAJHNuOjYTWrD5dJhRZpt52aZErAXrBUAVFYhxSnKO4xZAFA6YbJu8xIXRRxbUt2K9s3XA0BurhyTm4dUACAZQMStfZQBgGQA8zxeyfCyT22Tg0jvzU5/KzqtBxdddpw3CmU8pSUG7+68IzYKvlScWhfH1nIFIwAcOTYatkOCR4BYYfel5FJopMBbW+FtBGlIefH1ShZIpV26K8kEqNGAlxOaafpfWwGA6jDm/56v66+JFADUenh54wWLrl72NxnA2w0AhIdLxpkmCXQAs0rAZOtTYu7WBUUgWtsjAGglk3yDTLNjb7/v1aNL2GiNTg0gxY7JBICzzRIQP7Zhz6sUAEyBFpbXcSfTSGY7L06+fGR4ZvR7DUPo+icDiNuSQqDH69lZwIWotwWNfmJlyFPbZEvAkmCSzSLl+h5bVWS5LNeT+/gzr74XyE6TXMDSkMQCwLBMCGjaZbzNpRoIGZNFCcpb52n/92jMVtqAmvJ9AkDZlVoPZ+4ngHxeUk/eZ/VWF3CrC7jMpVQ/th4ADq3T76LMwEWRiiLcMnXgStnfzpOVAfRerCwjPpXfDrIHf7/nlZpLgUo3dpzPdtjvuCkNPNoAwJpLR5tI8xdftnkwlskAZgFAZRXaCwC9dlgNAFZvqjRmUJJToNF38E6r5Z4gKQAoThwL5gFAsksAQECFjzwAaDso0YkEcPb6Y9p1hnkBgKPHT6k1OfBZUQBoS3Wyj5NLjbZZnMfHq24CSK+cf+TG0TWB8kteAPhsqZi/xVvNB4AVuRQPAPUionVaAKjskQCg7cJcdrGOsTRE2Ky7zwJ7WkQKAGo9ZCAAgDy8ybjeMqQeAKq0y/m86ZqL1+R2Gq7V7TonxdzJDHIvIQQA0R6cNHVakH2cBYC+QabMnU8A0Jcp7RyWSmIzgKmufZtZTgHAy295rq5jWutRdrUIAKQCQwbNB8LvAMBdT7yr9pWUEHw3qwVc1lEite+UIU99Z0vAAoCyWZTeqAeA8BSfGzMpvpx8/dU3ddWKMscuCQCr/t2aRw2Eul+kKkJ560wBQNukVGZ7dc/Ma/bTGO9Jb8GezqspH02r2W0i0n/W1S0AqOPRygCWOTPdWAsA9zlraNQqU0BehxibiiIAUC4cXASQyG1kA8DxkedlM4T3PTYu6XEKfwhtMfmUpgCg5zvZbUB/7oKjNq59JJFmW3KyHoxlAKA3rVcGUA+VlKxE3mHUzcIDQFlF6SbvXQ7osOQmlhfikdkxlpzvASClJrpcb3pgdABcAAAP7v9gwyqKAkCO2+G7rB6OuyQbAPJGD6hWlysrK6r1Zcn6enDteuKg2D2uQFMPbT35ierc8KXi1H7k2FpZGf5WtmSDVRcJyI8o7L6UPZjd14ybWH0R0TLYIooHpmtJ89YBwMU7Rnsywrp7eNtGDwAFuOxv03oAgMhSwAyh6ebmIaPr9NisX28eAKTTOeW/a90clEVFoB2qBNcbWWabkZ8RAKjOdi9VYn/3zASAyo75c0bH3XOQU+dWCpQwDhBACViCwXymbZ8RAKgMefI8Nx7K0uCUzaIchzwA1LnLCxUvEVgaWp/xoo+uFJj2PueiDzFnVkUob30/FABowZ4aEqd8OC3sddo9sQmMDCAAkCrFKa0MYIsDWPQiSo2zAHDfs4fVATXeMs+8+vHk9F5aIjVI2Sm98RYBgDUHheUXjKUCQppqfh1wp/52zyuRzG+79+y4PACoMp/GCwDatzb7xlwGAL78xuS6jJYHgClngbzjmFUCFgBUmceLZqNhBb8uL1J6ZZacnwcAkS+he5Zsr488AGjdCuBCHbrz6pmi48xLdgMOILwrRVGtL5tt1IOL0hl8KIV0DykB8SAgYzHwqI2jIKstFScfjOdvV1cq5lgrW6JMnZbz+5LPEVOmk9qfh/qbB/3zr02Kf6qBYP1VFw599l47WBkOHrISwrXuHp4GcMi59dJIqS59rYfsxMeffR7VAZDdAZCRZVZYv16EoGW513Ct7rhq4CHuw3ZyquN6wY5zhnenfBYbjOCZwme88ayKb7Z32Mk9sd2XAvnercIOs6XDyR9Oq3lcp4TbbXNRKgOo7FjWNpL5vsQ0oaXGpXhpjMPVZJVlFqgJBvOZQI/vZrUZQO9G49epDHlqW6wjkySYZLOIaDduL77BRtlrtCzRAUSyqj0AMAWmvc+5qkdse9bzIO986XvlI+Gpl+uzrbYSUuZcmxEOoMAe65trztli45oSB7w8AAB5LrcAYOWItDKAZc5MN9YCwP36DYt6XwpxDVLTFwFDkiixRuiaK4sDmLLQkqtC6qGCVRQA0Cr423Fe8sJ+p05PfVbT6DPOA5YzU+Q3a66Xxk6uy2gJAOqhkvIWzTuMWRlAZVnVWWfLNMy3xdqLhyN2XSP3DEkBQEvOTwFAuF4QvskuAQAPHTCkYR15ANC6FdANSQk4y3WGiQGAo8d/UJM54bOiWl92XRKP3qXPndFDWiGNOAFASOsXHr1JzLBQAs0Ljq0tFfO3gLiaNbR8ewCgymjMITqFSsvqNIUvRwkYbhBhO+/hF1JmVnhx9BQA1Hosl5B9d/OD9QBQAs9wBuEAZgFA6xhi96XlcamMLt1QqgxwDi0A9BI5ZW59OChs0mWx4P1q7RxZADBl3dgMANK4RgNbVhQBgClxYuajEYDzYveT765NL9DjQaMFgLaikdquPHtFW12QBJMAoMCYB4DqYAeskAG0ovVljl0KAAp0ap4Hn6xUj4is50HeOk+98pHwbw8A3ctZ0W0uAwB9Cdi+eOjcrwHAH/8onLD3WhUAuHjHcMq+LQ5gCwAWPSsT4ywA3L/fsLqHorqNUtMXAUNyqUgtn1UCFtizHqr2wrZz8VDBXQCOViYANB6tfjvk9qDP301ItNiuuSK/WXONGvt+nY+yAKBN5d9+3naFj1wWAJTXsbS1vGsKD2W8I/MipVdmyfketCA3cd/j46JGG9mlrdZfMhw2AwAQQW4AYJbrDNsOwR0ZGMmc8JlkL5rtRNsVqQfXzn3urHvZkU3YUy//JzY+IVtx0TGbBF8qTq2LY2tlZfhbD0vp9Wm5JACsahBqjF5E9LcFgHPNMWuUPRIAtDpsyy3eMZaGCCvt4nmg3h9bJVf727Qe28AFOOABT6ORQnZtzQCg9Qy267EPcZXRceh5+/1PYoMR62JbbqhmAH2HdLNjb78XzxPaSMqXmLHWUchmYmwZWnNafclUBlDgKGsbvQpBapzv6NUYaAVkhnnxUBQBgJbTnFpfnr2ibTBTB75sFgXkvcaiRMwBgmQAyeLLtrLMsUtlUz0AtImCS3p1C0tUPZ2LrueHCAB13tnmQTL/Z/z5sRYArB7YFgAseoYnxlkA+D/nDK8ri0lvKDV9ETCUZWPEfNkAsGKhZT1UbWrfbgvp+b8NfilM/fjzkHXBe9cDu7z8XvVZm0TLj8Kt53aPH1vdrCK/WXPRtWkzWjUAaMi8+qzI4csqASubc+ZB64fVll2g1nygOTfp0ikcu0eX3FWkbJbo7tyxW4Wc70ELmTcygHCpABfIwBx2XskM4DVPhIefmxjnh9cIADzhsrTtIGPgHZIBlMyJPltovrma7j6bRdGDCwFdy0uFU7Vu54Uj4R7ivTrEfak4tTKOoy0V87eaceTYoeVSANATzfUiomVWX3aBWieoAJnkZawOGxkBHgyEbeyIJXrDA1XWWPOnAKDWIyDI2BQApOwHmKJppFtOBpDjCyDyoeYBPpfkzsLzzxXenvRJoMGI/agyGGNmBADyIsQL0XWDX4ovL6nIAoA2C6nlvgsA6G3dtG5Erbl/9Th1cO1n6B7ouWw2A+j9qP0+yLNXtBJTasCSzaIkWbwQPVxavMoBgOgAYmkItWidzgs3vW7tAHEN7WfiHeozSxVC3guAXSZSDTeen1t0vjIZQEm9aG7bfKTMs5UP42WV6xzKx6n7rtHqAm51ARc9LRvHWQB4QP/hdcR4KY6nZi8iiZJlY8R8WSXglIeqJffabeHByc08AsCe3cISiQve+57a5a3bCJ/rLcs2aFjrpDIA8IXXJtVltAT2bIdXewCgbwIRn0v2SpIf0e+UZ2zeGZISrLXk/BQAxFqNBz8NIACMI85/qGEVuSVgAwB54CO3kGU7yMQRAL75QYDPpygq9mo5UQKAO/a+o6HhCdeCp195N5zyp0dqGpG/O+HO6IObFxxHWyrmb2VL/P4vAgCtBy3rlZQG/5dPrgSmrQ7bckt0rDVt2cYO3wgk3qh+kzh39jdqPbaDH34YJH+bAZRbB7xZwFVWyfOI362ebOSy54gkd8gIv/XeJ1G+Br9pCwAl1t6eO97Ru68RO5Wvu/ulcOP9aQBo9eMsGd9mIYsCQOtBndreIhlAy1+1c3BvJjNcBwCr98AGAHjAeoGKCoGeo/UP9tuV565jPZTVgCWbRXE5PQBEaQHeH846lICxc4RaRAa7TKQAIC8fZAEVtlnw4mM3CUst0qHMKsIpV4wMT79aL7nzXQBAXwJOdZ/LQYpMO9lf7mktAFg5vK0MYKnTvH6wBYB/6D88lpcUyCbYkptdsggAzLIx0kPtjAPXb9hyXcQoyEMWJmx7v12ArAI38w8+np4JALEo8z7EmsNnIS3P4l8DKhlA68FYBgBC2j/h0raMlsCeFfS8/bzu4Ue0dRWIrBKwOjplsO5dU+QYkbeKZjZLDQDwpC2itRqlNMAfILAsALR2VQvN99OYATzp8rTtINsO2MNdRTp3fFZU7NU+EPXg4iHIw1AhYvozr74b3W/0cPal4tR+jADwxEG1a4e/9bD0GdgUAPRaY9aBgvXxsqQHE9kCKA8CgOqOBIiRATy92rVveX1brrtE3L+KIgBQMjLIn4gXjETIPx4YHX+bAgcIuKDNAOCRu65R5+Os5WUhxt/iUcIJnfDux9EfGS6ltWb0GokFLp3aEGk9IlTMNqciEwBWyfh2mWYZwGYAEHu0i49tE6JPbY/tYLff07TUeZn5atIgfKesl29mkEYoY6ywfWp9eeLqFtypAUv7YO9tVoqyPcgEWSciMukI1UO3IQOIow0NLOutskiZQxeNAPzLhQeAVi5sZgFAL9FUdKPLZAA9ALTXvxoSrYc82V8AINnVvvu1MoAtAFj0rEyMswDwwHNH1HU80jVnuy7t4vbGnbX6LBsjxmeVgJEXgVdiAaAV+LTroruVmzlZtayUfx4AtDxD5k01aCCBIaJ1KQA4ZlJdSXNmAUCyI5cfv3ltN9QA4CEbxJKQF832XajJh95tz9e5OzDGSix40AKIeuDJ8YEGHMAFJWAs6XzkZQAtAIT0jwxMlu8088L3g0AunTs+KwoALbdHD64djru9TvRcD8lnR78XgagI+r5UnNp/HFvLFeRvPQi7dekUjjEl+DQAXD3uR4XNAPAZ56nI6fLJFQAUOZ5SKnwr6Xbasq7vBFd3vta34Lw/DWQYbEhGRnqAfIf/6033vxo7cxUSawYobtplseiAkgrKr9bFRWPsNSUASFf4m//5ODYYYTtn+XVeI7HMrU8A8Nq7RkUJo1TYrLLN1lsQquWaAUBlx7K20QvRp8ZZsWn7PS/nXO9IgygEejyXrQ4Afv1N2L7X7Zm7LQ8AWn6fGrDUCKOKgc0SshJepBDvRg4GJxAAoPi2ZY5dik9p6QPMZe998Hfh8ZaJk68YGUWrbXwXANCXgG0FQA40UqjgOuu955rxRQ+lgtNaALCVASxzkvuxFgAeNGBE1NRTQJq2zgt22SIAMMvGiHmySsACgGut9Itwyv6VDKC1+LHbQFnp2ioAzHrj2/+s+xoebprDgkw+s6RvATbrwVgk66m5BST0d2o+sozIwRSJLA6gXB36HbJB6BwB4Lg6rpUXIk6tK+VYYAnWKQBIYw4NOAAXSoxHDxzaMHUeALTkdgDIYTuvFkuvWREB4IQPajp3jLN8rbx9aG/senBt1+v2mJFQqIv6uTHvxVK0RHp36n1H9MHNC46t5QpWAODocPWdo2JZ1DbhFAGAtguQ9cKHlTyFACDlanQ6BQDJhgAA5dxjy7q+E/zIqn2gfpO6bu1vlIyMXCv4DjkKMmcWAEqrD5kUOIB3j0wDQDpwrYaj1mX1RNVIw76H60eDETZjdQDQaSQWuXY0hizk5msvHq4ZNCo2s6TCAkCbrU81eTQDgLZLOLWuIgAwaw5ezikBo52oEOjxXDYLADnnOfezIk9b03b4aj9JDHvfbVcKO3Zbtpb51vxoHY5/56MIVmkCGTV2cnSw4cW0TKQAoNxHNI+1DB149MbRGrFMpFxXvE1j0fnKZAA9ALQcYFmGwolF0YLrDAtISVW1AGCrBFz0nEyOqweAD0dJFQWcGbXV+4WLAMAsGyPmysoACsBYAGhNvu12cEPnbX7KR9NDJgA8896oKZYKPUT1XYqfZx8CZTKAz776Xl1GKwUAbxvQPVpoFYlsAHh/5EsJAApAa05livLWkVLZt2/XHrRAAKcxh+wr2SXKwHR8+5BBfGrddQCw45zh0F1Wz/SdZnmA22gPAI/fLCyywNxNd599EVHn8HY9/xXFjRVqonm+mrmVT6vnCqZWxrG1sjL8rWwJ2nhH7dbWhZ0CgGSy2Y8K+yLCZ7yoyKJKAFDXh7ojAYArLDFvIPtDzCgAlIwM56f8wfGJBQCiBaiQVl8zAIgI83lGw1HLW59iiW6TfR33zkexweiukW9E3iMCxYQXyW568M0A+T2nvK817DsFgNVO87zfkJVFBFDjBLLP6ffWFr/w6I3D0p3maeCylQGAedqaVuRZ+0kZSjm6eC9ylfMBq5xHNMdRwtxwtUXLHLr4UuslhjwAtPQXNDzJkJWJHwwAnPxpIHFByDFK5z2cXPifEQB26hBO2/9XrSaQVhNImdO8fqwFgIec/3BsqFBk8Xb4Pu/hruWzbIz4vhkAtOBsxLNv1XG/ND8lHQDg5A/bBwDVSan5Uvy89gJAcck0twAgAJtMB3Hbub8Ns8zy40IHLwsASuj6nEM3jDwbL5rtQW5qZSmVfZu986CFMhEAEM9PsktwAI+5cFjD1HkvCRYAwlejBCzwktpGHkyUgDFBV1jXhrydCBdTQsp6cHXv+a8obqwQh1LcTR5cl/XeLPhScWo9HFvLFYTbSbaE/bP5WouHI3dr02FMAUAy2VtYAGg6xVmfBYDKzCl7bZ0Yll9y3hqItmVdD0Ip17/+1tTaT4GD+c779SVgdRFbDc9/nL1NuPG+V+oAoKRa6Fbs1mWxCNhSkdVQZm3q1EmtsiHnFRlFmyFRJqTQReMGaT+nrA811EoLzWgG0FrFpbZXWpN5v0UyK34M1Rmyavue0QYABXp8KRNP9y4r/CJO8c0334TuPbMzgHnamoB/XvoI0S+gCMHR3r/7ymH7jZepNT9pe2lamzjpk0DDHQAQRxvOBbjJZSK1H3yFQfaLzHvBURtFXcwycdLlD4dnR1cE1xVWEL/MXDOSAbQyUGpIFPWBbvRePVoA0B6LFgewzJnpxloAeOj5I2NDhSKrc4/viwDAlLK65s4qAYvHYTNXDz87sY77pTnIUFLOAQBmcT72O/PeaCuVCl8etTd8ZedsJ2CZDKDkRLReAUDLKbz13N9GY/gikQUAJXTdBgDH15HtfZk7ta6UyKoFb3kAEIDDg/rYixoBYF7JvA4AdpgjZgCzfKfZZgDgaxM+qDld8FlRuyfkeMg82AeX/01nVzmUku/BRxSACV9KGbCs48SxtVxBSvtYpgkgWyHuIgDQnoesk2zfE6MqJvXKzOm4ihxPyX7FJTvGBhbClnV9GVoC7fo9KQCYEoe+6extovSPzQAWBYBkfWwDj9ZtXUrUSU1zxNiJH8bMMlkdCwDFhSpyzfgxyrSmrA81NhsAtmUhNbZZCTiLv6fliwDALDFp7n2rLL1A4P6mEOjJA4CMTZ2Dqd/v95/1UJZgtppUpBtqtQJZXpqOSBlxHfGCJU/mMscwBQD9M2jQw2NrbjPnH7lRQBezTKQoS983AJRjlLrf6UbvWQWAnD+ntzKALQ5gmZPcj60DgBeMjA0ViiztLr7P43dp+SwbI77PygCKx2EB4MjnJtZlfjQ/b8F/uRMAOC0TAPKGTFdVKnyDRCo7Z8txRezvtB5I+zajVQOAn31Rs2+6pf9vA239RSITAFaFrvsftmFYaan5gpxUNOevjKVe1npSIqsW7KYA4ENPTQh/GTQqkF3iQd3z4kYf3zzAfNbVj4VHX3gnbhLZJs61PAAINwkOoJwuWK6o3ZOVI4I3yEPJZ0EEoAUAJbfjuYKpfcixtaViXh4oAatEbq34Ug9flSY1tweAZHHxKCYk8CydTOvEsOIS89ZoBxbUeQB49MCHojSHQg9p+9tS0jD/PGfbcMO9r9Tx58jg3T789ehQwnp4CKcC6Qr5FNvveXk4ZKeKV7U6qSHvk6GEX0rZj47k606rlIBnBAByjjFnyvlG22QzYJb/6zs1Gd8MAJ533VNh6NMTMi9vSngDj94k9/LPspOj+kEJeP8zK6VCQqDHlzJtBpBxeQAwT1qJ7C+8X0LZ9wF/fTIMe+atcMB2nUP3qm4jwvIKZaJ54QcAPjdmUpAnc+4Pd1+mOqobAOCI18Pltz4flzzviK5h+SXmLbOKkAKAeFjTjV42ZiQDaM9xRCIwDJD+Jc1IPXt0iVzfFgCsHJVWBrDs2WnGWwB4+MCRMZumyFLv53vPv0htQpaNEWPLAMBHnp9Yl/nRuuDBAELenzotiP/ityMPAHqXhlR2zhLyyXbwplsk5CihsQKAVlfwlv7bhtlmnaXIdLWbtu8Cls7huYd1DSsuNW8szdpuy6z9bFea0tiy5Hz/wEAr7KGn3qw1OfAQ7zUDAJCsFg9nSZikdgi8QwCgnC4YUxQA9rx4WNQf04MLwOOJ8AKAcnBBm5Ayly8Vp7aNY2tlZSjtUwJWk4yVYEkDwEpzgsICDz7jZeixFysAUPp+6mAXAKRre4Ul561J6VhQ56VovENPCgCmGkNuBgDe90pdB606dSlNUQLOAoBZtpJWo1Cd1DzYXpvQBgDhPf71tK3i7/cuKTwgbSk/72KS3E7K+UbLZQFAT9RnfDMAmCXhonXJbzpvm1P8XMZDzwEAonKgEOjxpUzvvZt3Tud11lsPZWXfpVMo60hrFxfP13nmjC/gvIjSBEKJVZ7MhW581UEpAOgpJtYHfcARXSMntkz8EAEg28/9RQCQZiT2n9yKzvifFgewBQDLnOVubD0AfCRm0xRZ/p18XwQAZtkYsXxWCVhEXsvPe+T5t+syP9o+LgQI3QDArK6vfU+/J0ya2vab7M/3Ir1W80/gzEpylAGA8pTV+gQArbMID1R0nopEVgZQMjcDDu8aAYAXzYZ8fdbBG+SuIlVmsuT8NACcEPW+kDlBBqbXHxszgBZE+g2wLwfw2gBJcrFIbSwAkBIwHpiKon6fx1w4NIpIEzy4Fp5/7gYpDGVQX35jcvwtgKI/nbB5brbEHlvLFSSzSwlYMjllAaB9EWEdXAvKltoHKg4P1oprpSXnq0kPyU2D5Tf5Vaf40FDY/cFndqzGpEAh1wQgwEqoqFMXAIgMDF27qcD9wR47jbESNeqkBhjB9+Q7mposAJQgrpZP+YxnnexyXEk532gZ2wRhKwLtAoDV7FjW9hQBgCmNTuaDngMAPODs+2vTC/R4IOMBoG+AstuX11lvPZT18iWfbWXKPAAUl5QXlq+/+iY62siTuch9T2OKAMDbh78Wrrytkn3UC3GZdViusJaznuhl5pqRDKDnucIpHv+fj6LdJploMqhUl8iUtwBgKwNY5rxsGGsB4BEXPhLBlAINJBoEUuE1mFJjsmyMGJuVmZKThQWAj73wdvLhAZcEQjcALwsA7nP6PXW/yW6n12hLgTMrymlBUbOd/sSod+oyWt86AKy+8ZKZs3Ib6G/1O2TD3M1NAUDKHtzUCQ8Arz11y1jauur2FwPZJUrAvS8Z0bCOPMBsASCac8jApACCJqXxhKyQBYlFAaDlvPHgAvB4NwQB6JfHTY7ZTDJglMPyCPPaNo6tLRUDlP754JiaULa1YUtlAKVPp/nsiwifwVXlJYiQvp9K+9aKiwywxMdFvmcZ/6Jz7EVDoyerIgUA7fIaB2cV8W8LANWoATeJDGAWAESyBvFaH7ZJMuC+fQAAIABJREFURgAQhwO2jwYjLAc5P/CoJbxNHhwpK+eTd6LXAOBtz8eydSqyAKAtQ2u5ZhnA/tc+EUY8W7E7TAVCvhcctXHutZmVrYRWwMtdHQCsvgQ2BYBOAsluQF5jlfVQ1rWne7zkUiwIY17btIQINYLmsuRrdg+136e6oX0G0IJPvdCVWccPBQD6Tnc4xWQAsdvkPDxm9yoAXKRDOOOAVgawlQEsc5a7sRYAHnnhI3XZMgiwV1Q5FX4VXoU9tQlZNkaMbQYAbYPG4y++k8wOoYb/5ztfjCWGrLb/PADouyMtAITvNPtss8QGEhGtbcdis10OZ8s+8AQAP5v+ZdSMI7SOZnPxfVYGUDqHKv941xQ6gylv5kVKYsGS8xsAYN8tw9B/vxW5VIALQID1Pda6igJAbmpkyWx5129vBIBvTa3bp0UN363uHQ8uMoBw9mwoe/LKuMmRzwh36co+m+dqpml5jq0tq5HZpQQsqzxx3OxxtOuWRZk+szQBPrMAUNw8ZdAFALHiwm+1T9V9RnZqLO+pDt6jOwX27PLaLkrb19/7Sp2LBiVceLvYtfFChXBzKshCpTielp8o2z0cTfCMBRxiOQiIuLYKAL1NnpWpaXYdAcR5WUnpXmpZq4NnM7HtAYDKjmVtF0D3/CPzAWBWwwrXyyrLzBcO7PdAbXqBHg9kfAYwr7Epr7HKeijr2pOguwSTbRmWDZNsEU1LAHWa4/z53uy48b0F2xrvm8xsA4ooHUXm1piUcYG4jWXmsdc5ws3/7LdtcnHdV3122YudwykGAOLgw/48eo9f1fzKWwCwlQEse27Wjc/LAJL+Vkrdr6QIAMzjwGQBQLXy1wFAB6a0LcgJcIMEAGa1/SOUasva9nd4gVwLzuh4nGP2WaOItDSZ/j/23gPcrqrc+l90pAqhg0gTEYEYEIUA0kWKVBFRiogQEC5Fem+BSBcuCogKKhauhSIIKDVAqDGEJgRCgJAEktB7/57f3GfsM/Z75lx7nwTv9/3/7vk8POTsVebqc8z3He8YHhVrd9Fj1DIHAP84bPNq9llnbrertLwIAHt0DgUAo2g2oOC0/1qnto8cAHRyfg4ADh81oSI68ZVBi6cUcA4A4uW6x1aNKGJsHgHkAwg/65RLeiVe4vpZAFjwf47buvUZAxeAZ9vDrm5ZTddvzDMvpYpmgNbPjty41jVBO+De+jXivv75picSXw4tu717ihz8PnrncUD0iQjrDV5l0WrEA40IoACg3h8HgBQB6T44gIt2gJ0BwLkqbNe8MRARBXIbNRVqtAOAaNHlZH6cnygtRQSt4WwyQcNy8GMDgNutUm06eOmqxKvjXD9WAGh+17l3oBMAWNIsJJpJBHDIj3oBoEBPBDL9AYB1vFr3UJbzkmg+8syNAFCe0lSyUwRCcVyMeHfyAcwBwFhk5hqE0kXtZN9ax9UC9Nv/DQAY7Q6ZeJECxm6TaDgRVCTWqJYfusdqXR3Arg5gfx7z1nXrOIDf32qlNMjn2re/+tlqRzPizq1TJ4NQAoAq5XcAGPl0zRd2l9WrX/z1oRSlKwPA61oKW/w4o0fq2+++X21/RCM6h+YZlY1OOofwPmSbVTq62Hc9NKkloiUA+PY771fb90QABTI72WEJAErmRhWAt42aUJ126X3NXTKYnrHfV2q7yEks+LWJAJB03PD7n02TA6JLXxu8VIvvsTqri5gSHVVlK4MEANA1/uIBU3gCB9ALRUr2f3HbfU6/KbkR0M47eP1qkQXmrL5xeCsA1PV7fPxLSdMQrt3Pj9yo2vrQ1khh7kL2AYCnbF796ebHq8v+MSa5WQzZtveZyaWAY0rMJyL0t9Yqi1V3PNBIJaqqElmNk/YaXCk1RgSQaK9S8cjYCMCtPXCx5B6g5kUx/JaL9smOzc8XLhK8xsvMR1dpWqoTcQIBAOTaiXuumXV68fS0tBSZtGAZRnSQoiaKhH51XCMFHH2SEcp9/wMTdKx50gVScrqX2gyuKfee5qn4aYkA1nGg2T+RzjP2r383S7Z1RDMBgDgBqXUKAOu0LetoFe6hLOF9VfMrunr17U+2ZI2YGBDRppAJAMi3PFa9d/L9yzmiRADoNnSSdepk31onBwAZA6H+9LdNDwcwAkA4xUQA0e/kXUBYHtekLgBs3JVuCri/T6et7wBw37NGJFcNNcQ94XnlmluFlbqvs0JqBwCJehyx65fSrosAcNfVq19e9VBy+ijpPu16QhkAkg5yftY7733QBAa4Hswx+ywtshObr7V0RaqjkxYLV5oAMAMyO9lfCQCqyrkJAO+fUJF6V+uEZ5QjWDs5P4KWS0/4WkUEEII64III4JHn39HnNOoipg4AAQ/7fvMLWZkQ7RTeISlgTyN2avguv2T2xTZw3gT0tX9NICg+oEqWalsigDFVnLtXEQAyeSAFTKQsThpyABA5I/hzaj5J4DfkitDCpEneBWHdoXut1UyN7br5itXnlx5QHXpeoxhHDgxp+1UWq5BhUTvk3OHVoz1V0fyWA4Cy8PLz5Tw9DcgypWmpTlxvtTIAHDpkcNbr2aOT0lIUACSlfPPIZ5P0DRMAWvRJdqu6du+R0pQlaRW2LwFAL0RRP+04gG0BYAeTM4+6+flRoIf14w9Ou6n5s0BPBDIxAugV6/Ga1dEqHIzq3VMkX/zKa0yKhX1THPTm2++3AMAofN7uvrG8EwAo+0XWl7B7J/vWOv+vAEBp/um44BQzgT3g7FvTu0AEFQCIYPrJe3YjgF0A2J+nPKxbpwO42xafT5WeudYJAKwzQy8CwJ4PiAPAKKmi48FUHB5aHQDc5fjrWkCtn0tMz7373gdJ0JeG7ymzV6/IiuvXXfaoXSgAmAOZndy+IgDsqXIWgImi2Z2IzeYAoJPzcwAQez74oYATrgv+ubHF6Jcvd41IrjMRwJxQsLaZHgAotxT2lQDggDmbUVjtXxxSoox8aKlepAgkpopz9yoCQCYPAECKJSII7gQA+jNCf4BsFROoOlfV3RoYvwsAXHZAU47HI3j+LrE/10Xkb48W6vzkxuHnmwOAStMCAAGxpeKKk/cenH1GHJzKd5lIJnqMpIfRm6wDgOhovtfGq1nnoEKFnOyR1oFqMGDeRgTQuZjTAgBd6zL33HQSnSfiCpUgNsAsz0ALANx7rVQZ3A4A1tkbEiH/9KLzZD9J7qEs2S1N5CSxEwEgFoFvv/tBqmQnAoigebQ+7OT7lwOAUZdV9ovsT9aOnexb6xx23m3Jq9ibBK77sx/WnZ4IoCRf1CecYlLA+K3zXQIAIvjeBYCNK9QFgP19Om39OicQBhV09nLtO19boaISuK6VbIzYpiQDoxSCDwxRVFl9Hvnd1aufX/Vw4umVIoB1ADBGZ957/4PmgP/7oZtVRKa8Ist5ce0uOSk7F74VAHSQqShju335B0UCxdpGRS4CMLHfTgznc0Ddyfk5AHj7/ROS6Cr3iUjq0Rf2BYB1EVMiefK3pYIUJxCPXMZr8uvjN0niwOhfqZXcX+K2e/aIZfM72xBF2+Gov7Wspipy+lCq5aIjN25OCOruUQSATB6QgQEAxjR4DgBGWQx/RuiXNDtiuzQVbEQAuNsWK6YUsAS5P7Xw3CltRIuON50AQLlx6LwlSBsBidK0pPGJ2JUAINEpVSj7tfRjEzBpAsBVl0g2Ywx6lxzbiAC6Lid/zzrzjNW7HQJAuTqU3DXYXxEAWiWyjr9dBLBOB5V9rPDp+arT29AzXHvPrxtgFrC3z+k3N38GZK+y3IJVBDIxAiignXum66LqzkfU+6KJnES23Y0j3Z9ZZqp4nrnPH3zwUaJ9CCx28t3TOjlbvQgAmXQBUmlEnAcuv2B/uuhz3dhYFnf92lE/AWAUGY8AEE4xvyVqyryzJ2vJLgDsvSP/0QBw+PDh1emnn16NHDmymjRpUnX55ZdXW2+9dcfPqwPAvc+4o0KEVo20kl6ouEOEZ3doAwBzxQXaTykC2ASAAxerDu/hLY16bHKWP3TUbl+qLrryoQQAS8rvOx9/XYu7iZ9HHJzf/+DDpjzI70/atJprjlkrr8hy0dp2FzhG4gQAHWQqythuXywXcIgAUEUu+iDHyCOzRLhydS1HsHZyfg4AAjTP//MDqUABACgLMu+nLmLqABCuJV7Azl2MxwsAHDfh1ZZCgpL4d9xWldL8znXiGkYAKDA5buIriWxN4QE6gDFVnLuOcONcLobJw59uHJMs06J0UCcA0J8R+qPQhpQ7TelafGABVRoYidYj+SNLPk/hRgAYAYKni3V+cuPQ37KkigBQUToKefj3VcPzHED4ablCIXf8UWqSc8MyDH4gckMOAN2ZxwFGJ++QtOrqvksOAL0Yx6Vo1Fc7AOg0h9zxdQIA3X3D9wGY5TohDaKmqFcE+Mfu/uVq9RUXaa7ntoXxuOoAoHsoa8Kp91hp3QgAlaLnOwEARNBc6eJO7pnWyfHJo87oH28ck+wXaScNWbP6wvIL9aeLPpFxNv6/AQCfee7VFmAPV5wIIO82MlD7f3NQmnB3I4CN2/sfDQCvvfba6o477qhWXXXVarvttpsuALjX6XdUiJ+q7bzp55rm3/FN6gQA1nFtSgBQVWRu03b/mMlZgIG4LACQQo2S8vvOx13X4m/s5xFlStCpEun/dydtmkQ3nZAbi0bqvi63j57QktLsBYAfNnllijJ28pUqpYDFcRQYitxDIkFU9tW1XHoF0IHpOC2Clt+euGl1x+gJ1U///ECa2QMA4aTEVhcxbQWAMyUZmNMvHVk8TApPnpz4Sqp+UytpP8aduBsMAxccQHxnvWnge2rSqw25hblnSzIwKtipu35UxyKtocbkgWgEADA+Y1kA+J3Vklizmk9E+E1AiH8rXSt9Rw2M3/t6AwASJaB9epG5q6d7Cl8cZLEspghzABCbMreLkym9a8H5sbUDgAjzip/o15Lq0GN3XyP9pOIEoptYhinySdTj4p4IoHtzsw0yG++8+0Enr1AlUd+6zEQJAHolsjprBwDrrDDZRycV+g5q/CQBs0QAeVbVBHraAUAV2+QuWl1U3SVpRDnRe6zCDqk4aN/SaSRTgBMIguYqGOnopvWslAOA8d2Cc0uhCo2io0GfnX4AyHsF0Oxvm54U8NPPvZpEn9XgFBMBlDrBfj0AkHf8lCFf7FYBd6uAG4/KDDPMMJ0A8PbqtTffaz54gDx5P8YXYKdNV6h22Kg+BVwnt1BKAUtI1CsXR4+Zkk0xHvO9L1eo+j/3wrQBwJhCgKOigZxCh3nnmq1pwcP59wcAxmpcAcCWKGNPmrmTj0s5AtgoctGHO1YfM7iff9iGtV3kAKCT8yNoARzDSYNLBbdn0zWXzkp81EVMHQDCEyIFfOZvywCQ+0F61oFmpwDQtSAZuODR7XjMtS3XRADw6UmvNgVXSQFLs7HuAiKQ7MLSAGT4SH+5pTMAGL1RfSJCv4BDUqE0gbUIAIlUrLTMAqmAheYcvnYAMFfxKzcOnTfVtpeftmXlbhAsE0ijSna9VT9VXTl8bPZSMUHL2QWiD0eKkiYASIELlmE8g3BNqcqlOIOGVzlRfTVxzDp5hwQAc5xXbU+xCZxDmkcApwUA+jOeO75OAKDz2nwfyJMAAIlWqwn0xCKfGAGU3E7umOreKfdQFuUGaR8oOljTYWcoIX/tW1Z9TOjRAWSCqmrsTu6Z1uHboHdAv0UAeNkNj1WXXtvwKkZ2CPeR/rQInNn2fwMAxhSwvkE6dqhCRAB5f1ABINp69AUj0iSvCwD/wyOA/oB3AgDfeeediv/USAF/6lOfql555ZVqz9NuT8RnNXh+pHxyjeggZtx1rWRjpG0YeJZd4pPVD3dcNYFXbJ+YndMcgDzwxJQsgZwPG30kANijgs+2pCH4D04SA9Irr/dGNf14o4zARx991Ezl5QCg6wYyOJz6m/uqdQYunj58fNyYpS658NwpNR71+LIA8KRNk6QGpH8XC47X1I8rpoDFcRQAjPqDvj4SGvD9KEz40ud7U0Klam0KL+abZ/Y+EUAAIKnm8/44uvb+1wHm4y+6sxr56OS0PTyh/9p+YIuDSdxxFgAesG611GLzJO7gikvPX229bn6m7jxQBi4igN8OAFDkd82+iWhRBBJTxbkThqSt4iGWc6xEABGmjZOMXASwDwC0iQj7U5qVfwsASuBbA2MCgMsukIjiNAeAX1pxkQonDrUYAcwBQKrHZZ/HdhRbIEcRAaAKVCiSWHfVxvuWa1x3pad9uRxN+E0CxUjcYBmm9rEBwK1WqpZYeO6WKHI81o8TAPoznrsmnQDAv9z8RLYQD3kSUsDwVdUAW787cdPq+J/f1fS+Zlm/AOAB61aA/1xzVxJRbojIu7hzBIDaD99zIoDoWaoau/bjERaecenIRAfwFgEgxTIar47fY41qtRUW7k8XVQTObAy1Ytv1pz0CyD5EPYgHo29BBIDKQmh97gd0pbN+98/EXyZbAgCkHbLjStW6qy+Xxu955skX7/TrIvx/cOX/6BSw369OAODxxx9fnXDCCX1ucwKAp95WvfH2+81liD1DQs41dMe237AeANaZrvs+Bd58cHT3ggefmJqVGSFy8LPLH6wmvfBGi/ejpzgYyJ3X6P1GKyGW6RhIOZIGdD6GA0CXZwDcOUjl71v/+Wx1Rk9EywVfPbpDuum7J/49HZKnnuL1BlxiNUaDA3bB4Rs1VxHHURGs6EAiT1s2cFK6ACm/5wjW/C59ughaSHHe8cCkCi5VXesYAM48Y5KB4QNXaoAq+HnONSSaN3HKG83r7Ofk+3EaAAPXIgPmrHY6rjeKxLrSfXTTdSKAMVWcOz5I2s4VdAAYJxk5e0QsDb8yqDcF7ICf/lRowb8F1gQAJbYeAQEAkGefVGosAohCwV4wovOTG4f+ptjizwDAvz+WxKDVJFLNu0KkEtCba6TeFZ305U4FkZ0e2QEsw9Q8+vbK6++03LtPzDZT9dY7naWA63RN1ZcmPfzteozTEgEUOCo900xaTt23XqQ9RvS1L6pTV152QKpY94b4OiLa/Kemb5n+dhmYmP4vFdOxrXsoi3Jz7IUjWuzd5OUez5nvORkWuMOqxq79eISFOQAY+bX+bMZnvpO+oj4m23wcAJD95L5NJSeQCAD92Pme7/vNgc2AyHvvvFld/5NvdwFgJzf4/+/rdAIA6yKAe5x6W9JsUtth4+WTmG2uUSG83Qafqb2kJRujuJGq1xxouIE9hPBcBWECgFc8mKRa3Pzb91MHADm/nb72uZbD0bYaCDwc79Io5/95dPW3EU+lbXm53fuXv+XJSwTuvEM2SBEUmqeZ8R3dfeg/0u+/OGrjFN7PNd8mRgAFbgQAo2Yi+2TfNP/A+QepJNgtXk8fADh0sxQBVLRWx8wH2SNA0WnFz02pI37j2lAZePbvR1VEfyA64wHrjbTquAmvtFABGKwAhYpElgAg0T5xWxm4Fpl/zmYaER4moJx0P02cT6Rpfn7UxtWOgSuYuz+kaDxSSMEKTiBciwgAuZdH/OT2JHSshqXhOoMWb9m1W8s5AFRxh8CD7BYjJ4wqXnxmifoCeL1Fq7Cc5h8FCq4VSJSWSKdHWdgn6WWI/aRN4Y0WAeCB6zajk34sqmbmt60OvrL68KOqIipIVEnNCzD6AsCZE1ArNSrRufcU0QCaSGPWNe7dfHM3UsCux+iFKNreOYAoBvAseTvmwhHV/QZkY7+d2DSyDd8gUt9eaU9qkhSwIr7aN8/KhMmvJyu9g76zWpKKUUq7+Z6aFzDHTDaD9CIV1qViOra9yDyU9b095oIRKVorLcsiABzUAwBHTyxGxOruS85Vqg8AvP7RZFVIi1HP2pves1DfR9QtHhn3Qpo8UV2/7fr141xu3/GbWQcAYwRQhWi5/ZK9oGBOuqtdANhNATefk04AYHyovAr4+z8anmbTM85QpQ/xDhst36L679t2MjMq2RjFY8gBQNK3P/z2amlVNMFyFYTwPC64/IEEAN38218+WRHlXqacnZ0GIaWCfDbm0ijtAODNI8eniFYsdvFoHgDj+ye3B4DOG4wAcKfjrk0pbrliRMkcT58VAWCGX8P1krRDDgDe9eDE6pzLWiOAUALcJqxTAAi/jL5+/IdRibez0jIDmtV8um8JAE58pZn64PdOASBRPFEbGLgWHjBHRfW0pE382ZDsD5XJAPSYKs49RwyiDhSZPJACRhIlF2WOKfccAFQ0jP6ktce/Vdyh9KEiikRVVlpugSZ5vE7+56jz70iDm1oOAEqMWevAtfvjsL4AEA4fkw4KNdb+QhkAQlHwdKX2Ky4jfwv0rrbCQk16AL+7Bh/R/O8c28vflNBwaYAn6oe4N/yxOmF7bV8CgP4eaV0HgEwYqOr3Fq9zPMZOASDb+SSQv/n+4gWsoh/tm28UQsJjnnm5giPtVA+to28cf8uPXFJJPpGOx+seyvreHn3BHYmvCdhk0l4CgCzjHOB0iotZume530//zX1NKSQtj1aTXqEO5QHqQ3+aLBIpLhzx4KTkQvP/GgAkA7TPN7oA0O9rNwXcczWmFwDuPmx4Eu2UvRKDF1pmudaJQGbJxijuT/IFDjQY9LC8oRUB4J5rJl/PiVPfqNz8uxUAztJS2OJ957QMNfAqJeuzMQeAXuHM7M5Tr/zNx4OBPha7eHrvZ0dsVO057IZ0SIDBhQsRQIRu5UgRU8AMhgyK4rDFimmPXLgHrM9Ic+kVjknVehEAMtBB5j7nslEtt5KZs4vWesQ03nNPj1FhCgBkfwz+DIySc9B28A65Fy44TbRi3MRXK3TdaKUI4A5HXdOMbDNwLTTfHBWVwaps9WN77oU3qj1OuSFVl+IL62CjNJhwbA4UmTwAAKlo7wgA7vzFxHn15mk6uW2wXNw+AUC5TURnCGRcAF25FoGJVwxrfWnx6W9Srf9zyhZVlCVRtA6P4rUGLl5hx5VrTFC8YtX74d2l6TkTqNQ6RPGZANCI5vm1RkPSaSuxb4olHn/25SQoTdSMrERd83SpW0Nyfr84ulGIotYCAGefufrDyZu3LI+p9thvfwCgTxzZD8AEzmfkVTJxfnby64m/WQJB/j7D6yQCv9ePbqgmTGn9jsbj9aI+fW/1LInHWgSAqy1RffjBRwnETYu/bhYArrNMtcfWvV7j7lJTAr919/6gc25NwBkAeOdDk5IPdSeZrtw++xMB9OebfUmLNLdfVAD22X5gMyPWjQD+h0cAX3/99eqJJxof3UGDBlVnnXVWtf7661fzzz9/teSSS9Z+7FjoEcDvDRueJBWkrk/6CimLXOvkJXbvyLoDyQFAjx4RjpfHqe+HqjdmpfHD1SkAzFUyi4guSyh/GT0q2Q4A3njvM82IFpFKbzq+8w/boNr71IaVUz0A7BWojhFApTdl4TT68SktUTLnLpUAYC69wjGpWi9+zEh5AgCJ2HmLRUMOmOP9dwCIVMS+3xhYnfs/91cM/gyMUX8S3iFgzy3nSOc+1QEA9KpHBi5SzKTe0SijgtcbmpLoBsJ5++UxX+3DFcw9x3D+nFPI5AEAePXt41KhFAVT3qLu4mG7fLFae2ArAHSxXvntsg8JNEtDzq24SAnKG7bOAUZRGx1TDgASmXto7AvNwyYiCk/SKy1ZqIpdJi+DV1msCAB5Pl3aQjv2Qgg9Z0jD4BihhsvI705qRNdef/Pdlgpuec2Wvi9Em4gAYilX52yk7UsAkPPjHS3dRyKRlwUAmLMW8+09+ln3fWRZ5IWi0Up6NwcAx09+PZ1zKQ3q7/MVp329mmmmGSvZJdZ56LqH8rAfrJUAqOgE4rGWikD4dhIBVCqeAo7+NFEdfJuo4+q8bDRi11hp0f50UQkAAh5HPDjxfw0AxhSw3IhyBw9nk4m5KFFdAPgfDgBvueWWBPhi23XXXatLLrmk7QvgAHC3k29NqvrS1qoDgFLVr+ugZGMUt8mlgL2A4NGnXqwO+e+Gx6k31N7P/8voWgAINwdT91zLFbIo8kL0B6DgL6PzEtulgG+455lmROv4AgDEeF1K/nUcQLcG6wsA/5YinDJxj3xJN7EvpYBzs2uul+5xDgCi50WE0xvX0yN3dQBQ5HG2JxVLBBBOIYM/nrbRgSYBwEmvtnBBKR6iarcdB9DBFAMX6TyifOK1+TnAmSM6SBT84mM2aZEcKT3rpHx3OeH65mImDwBAKtFzPNMoQ5IDgA5a8WWmQp5Gahc9RNmISWsOey2qQhVRRsfv7APzEUDxtnTAOds3afFpHSJtRLgiABRQhJu05kqLJumbXEOL0m3LtA7FJmfs/5UWgCNeYbNvS6/yLnu6ve79Znu4kU88+3IznXfx1XlnI/Wl6n/+9vfOi6m0rgN5AWQ/95ysiC/vDwBkO38PedcA/FFah3eOwjU0HEuFEL4fRMzJHO1z+k3Jb7bOQs0nvQKKinIe2hPFLgFAjosoplLxpYr90jt26q/vbdohap1os+gZpyO/+6WkUdqf9sMf39qMnN75wKTqhnufqQDa32jDdc/10Z8IYASAPK+R26k+KNgi2n/ETxve610A+B8OAPvzgOfWdQD43ZNvTb6afMwgViOAWUrpdKLlVLIxiseRA4CICzPToT369ItZDTE+VrhRQNwvpYDrIgQ5fofsqOB/kSr0lxFB3oN3avAS6wAgH1UigHDkXOdM5y2uk6fF6iKAnoqKKeBvH9MAgAywfBxiutw/Lv0FgOLq5AAgxP9YtRutAz1iGu+5A0CWAQCpKoa38/ll5q/iQA3P7qmJrzQ/fGzTKQD0dCoD1wLzfiIBJaU1/dhkNUZUkkjeLsf3ArvSu+bV3KzD5OFPN41JRUKkxYmMeosAEMcbdNK8edqaydD1d+UBYK8Q76AECMQpRTqCyttci8UJHQHAHhDmYrvsW1xBUlMAtxIAvODwDZvRST8m5GYoVvEIVwSAHl1zf172Q3TQtUvj+X59PVp/AAAgAElEQVRcADBOvOinHQDMVZX68cnNpdNveB8AuOwCfSbGAC0mRWM7BICiTZCeh+9c56DhHsqnBN9hTWJKABBKDxFApeL7K67cfwC4erXmyq3vVLvr/L8JAP15jylgore5inmOH77u3tt2AaDfyy4HsN2TXbPcAeCuQ2+tKDgQr4YwfamqrxM195KNUScA0G3EHnv6xabHqW8LcAQAwnlRSoLl/qGs4wjlRD4VLRIge3z8S02itbtj1AFAnCEAgIpoyekgAkAnxsMHJIqSa16NGAEg0RCiIgKA/xr3YovjgpPTSwAwl17hOMTzjACQVCB6g2cG2ZbIsfKIaTyvCEKwh4LLx+BPhWsEgPAO4QBq5sv+IKw/83z7CKAXVDBwzT/v7AmM5NJ27jQRI3ul1wjA972hDTkfGtHcP938eHXtiKeqXKFRdKI4fNfVk6eyNy9caQGAi8+bOEKKnLkOGyk5VZVPLwBUalfHpCrX6ExBJBLJEeRpAO8lysiFR2xYDRl2Y59LqFS1c9wQFyfCrOZAfXoAYJ23ufryCKB7MgNwAbHeWgFggyPpTYCi9Nx4BXQnn3B/D6GvrLLsgn3cVQCAADmekU4igAKA+595S4os1wkou4eyIoWyFdQkJjqB6LzgsaIDqFR8f7X1fvTreyvsNb1FL3doI0Teabl3qt01BnQpdQ7FBSWCTuTOcvttFwH05z0CQB9z4r6ha+y93cBmUWQ3AtiNALZ7rmuXtwLAW6r3P/ioOaumyqrk7akK0bqdl2yM4ja5CKC/3GOQNDinYXHljWgOs1IAoHNX/OVTNDN3nFQIIiXgTRqCiAAjn+F9uzZhHQCEWE0RiCJaLsJLX6rCQ8dOVXwMLgwyueZ6ZBEACigIAEaw7KmpEgDMza45DlV65wDgPQ8/19Tf0zHDC8WaT80jpvG8IgAkrYG1HIP/55Ya0Ef8FgDIwObV4BR0oNvXLgXsx8+zhswH6cicdIfLjMTIXulZ92pu1uFvHBwgxH97kxUSCPQWvWhzg5VL1+Coct2dDckhABPRHWlLKp170LdXTRFA6UoqspY75hh9zUUAqV53CRNFkuM7Lcs4Biai3SUAyPtE2j02OI3nHrR+S5UrqTsGYDUoKX8a1gBX7s7B33VV/iwnAjh2wsuJz1Xnba6+SgAwZ6noAFBV0n5+B5x9S7pXpTZdAPBrK6T7HbnRDgBLYsj+PggAHnj2LbVpY87Bn1voNwOXX7Dpn3vErqsnDmgJAMJjJQLId3FaCity+plbrLV0NWTbVZqX11UnclH14o3oWeDXAJmrfycA9Kru/gBA3lWEtPUd7ALALgBs91zXLncAuPNJtySeBrwxpEXgWFDJmGvSiKvbecnGKG6TA4Be4l+aERH1g5cy/vkyAITnxUw+13IK7eJe5QCg29PVAUD00pCBAZhEGy6OQxEpt8cSgMsdpw96fQDgUdekKkgKSpZYaO4qXisfmEoAMDe75jj0oY4AEHNyqp6jdy+cwQsvf7B5Ch4xjecVeWjImFxw+YOJt0NaMVZrUnhCEYgDQNL+SF7UAcBInmfg+uQ8s6WChPjh5Ri9yIBIHgUh7VoEN/xNJIK0ba7S3CMp7FuDp/fj4tXQIQCTNAEuATxVYULCJ6UoLqKLj8fjjwLFKizx9aIWn65VBIDalv+zTQkARpCsvhjQoEK4QDrRUASD1SRCzd8RANbpfLI+7zjRMPhckaOau69UG7NP2nvv9xZfAXDR8/TmANBBqtZRVK30/EwPAOS54n5HeawEACe+WhvNywHAZgFEjXyKR66j7/CR322kXEsAEB4rEUAB8f7y6joBgBf/9eEmBSHHq233Hv+vAkDznY/foVLAg+PnPRuyTRcA+r3spoDbPdk1y1sA4Ik3J/0/hFcRHmWGdfUd47JbH/CtQdWGq9dXGZdsjOIOcwDQbX5KnAgAAIMpUSBxUti3f+Co9CStnWs5RfpvHnl10kIkZbXYAnO18A/haTGzpNUBQADSzf98tumVe9RuvTZcbKtKYyJYmsGrijd3nJ72igBQXDFFECOB2AfPIgD81b0tA66OQemPPgBw2ObVvQ8/X5126X0thwsvlJS8mtv5xfOKAJCBGlFvACAp4F9c1SrXAQAkAugRj04AYPTVZeBC9BkPVdeX0/H5tS5FreK5XHj4htWQH/WmN0nn//nmBgDETxtrQG/OpeJ3DZ6+jtvXQYeQ6Lgs2pTidRI+gEA+ubUAsMe/Vf3lAGDU4lMxEcDWK7RVQYzsDJJHJQDooud+noqsudYl75mn+7xa26Ph7EeT1dInjucK6oCiOVFeKG5XAoACqr6+A8BcQZF4daVjI80+dK+1Ov56+3v47a9+NkUAnRLBjgCAnC+TpRP2XDOB8thyAFDfhrrqWeeuat/aTkUXJQAIjeGDDz5qAvF2LlLxmIf96p5kI+cNkW+iYWpuPJDT1mx3oRWxJXU+PRHAOOmk3yhR5dJe/QGAFIHtuc3K3Qig3cwuAGz3ZNcsdwC404k3Vx99VCXleMjwPvDEXUj5va5r+IPtlPfZPgcA3UO1VBYPgCL6AwDUPtiff+Ag8xPVzDXSjpsOXrplkQAVg/piC85VeQUykQnSdbQ6AAhYwQqOlCaAho+jN5nek7ZWOb+cPHLH6ZWPEQB+88hrUsGOjjeqyPvgWQKAuY8rxyHwkgOAiP+e+uteAEglL9wUwI2aR0zjeUUpEtl0cY1XWAoA2OrYwDV9etJrLZwnIsAUACkCqIpG78s/tPyOdBAfXCy05p9ntupXx32t5dAcYLhMT91zHtdj8oATCJW7Oc9sf3bYbw4AfvfE66sXXnk7dctAR0UxDWCHVpmqfJscrF1XTxEh6RbWpYCjR60qi/0coxaf3DgiAIS2wD0AkOLiIg5WvF5URlNdHRuyFucftmEqPpPWJRMHBIPVXK/R+bAsB8S//Hqvt3ncvwNA7gXSVHUNTUfSyjQ/ppywdgsA7LHK831DM+DbVGrTAwChFQAAo0MSAJCIJ5MlnvVBHQJAVSznotE6/hYAuMeaSbTdxZO/vNKixQggNAYmYwDxTnzk4zWT3qX/7jxxfuebIc56tFesvek9CxEq59qROgdslt7fdvuKmo2s3xcA9kaXIwAscd7ZDxQQnmlNhLsp4G4KuN3zWLvcAeB3Trg5rYtMBnIYnnqKO4kG9rlOrrptbHXRFfXWS2yX0wEkRQBnh1YSxqQI4Lw/3Z/kC0oAsO7ksR/bZI2lWlb5Vk9KVRE1L6pwMFcHAKlYHT7q2RQNywPAv6aoJOlI2TtREEIUJddc/LYvAGyNWLp1HfsCAF95+pZptyUAmPu4sr74axEA4h5w3yPPV6SO1eiH6jSJMvO7R0zjeUUAKJcGtiEFjI+0NwpPODeXAwJATzQASPENYMGbS3nwOyR3PrgQvnGvuPjYTYrrl7Tr4rm4nA/LAOMAoRKHyPXUWD8nWUFRyZSX3kpdeSReHr0qntDAzT4ABJJIqSsCUeWwziMHACnoIM2vJj3JSOtAHgUvbo6L/ksAEHFs3FdiU3Wtp1uhDqAX13y2ZqiqK8/YKv3pFfH8rWxF9sXpSQEDhhjMKZy49NpeH+PcNiUAmNNVdACIdircX2/S1isdG4D5pL0Glxb3+d3fQ6rLcQJxYXQ2cABYqujNRQClWVjHnfPzFb/QtfNwHSlFABlL4L3pPuywUWtUvN1F6AQAuvd8J+NT7PPjAoDRtYV+IgD0AqMIAEuqF+yHiR/i110A2Hv3uhHAdm9PzXIBwJdffrna6cRb0pqo3k9+6a3Kqw/jLjoJsV99+5MtnLDSYehD5R8md1AoeSMiAwIx+emgXxUBS6lftNPgpnhTUYU4dS5C3SkAJI1EBIOB3qOG6kdSM6RR4GPRkOxg0M41t7+KAFCcRVURowEmbUHtSx+f/gJASZjE6wnH8d5/PV/By1Ej0rjXtis3o3H8njt3rR/dKJDkofKXqCEA0ItJ2Ia0+lPPvdoiB0TaH+s2RQDlauDXMKYMGbiI8FBUhM4jFbzeHIgQlSVV3K7F9Zg8/OnGx4vpLndUYN+5tBvcQ0SpaRREISpNk0evnD48AgMAkydxnRB0HwDYU1ns5xmlWBQt/cvNj7dUaOM1zXFyXPRfcg7CYi0nqbPIgDmqi47cOPF0tzv86nQIFA/dOurZlsuuZzgCeoDpS6/VRwCRRVE6/tLr6gEgepNz9UQAPS2dA9QOiHKi4kOG3ZBcikot2kS2e878PURfkojv0ReMaNkMAEjGJH0Tewo14n5zAFCCznXfdbcwVIWxS6cwaSBSzXcvtk0HL5UyMSVaRLtzzwFA9vmD7RpSYbSLrnywWbQoa7p2+/XlXgmNEHQ61k1XqPoLViPthD5idsKf4z4AsKB7y354DvfcauVmJqQbAexGAPvzjPdZVwDwpZderigCoaF6//yLbyZwJAHauGEnVVal2WDcl/gk8QO309caDgpFALjfOtV5/9MDAHs+djn+RekC7b/DoGqjL7XyGKOsiuvqUaEqPl+MALoVHJWEAEAKInJRMEnN8BFlMKbha7v8kvNlD9UrU6MeWSxaoShC7iLamT4+/QWAeEHvtOnnWlLq7BMASAp4mAFAOFCkJgDkarnop5ZFACiCPum/FZaar0/kGADIQH7wub2C4BEAytfUL2IsGuCazzXHLAlI5twd/ON99oHrFgVZvY+4HgU9cABLhHf3VGU/OQAob1aW1wFADcC4PgAItj/ymnRodV7AEo/WOQAmibJ7i1Is0EKI4kUASBR16itvJ94mDi4lAIjDhviJ3g8AkmIbB4DIByEY7E0A0NdjOcD0xVf//QAwx6lsBwD9HuZe7OkBgDjMrAIAvLAvAIQHXCfqnAOAisjXRc4cAMplRIUT+rsEAEnXEhkDVOUq49sNYidffHeLNBDru1Ysf190xYPJf5vWCUUp9rnfmTc3uZNwAKcVrEbaCf2QhSFLouZUhigEHaW8/DihduzRBYAtt64bAWz39tQsFwB88cWXql2G3prWRI9u0tQ3Kregiruo44po3ZIvZNyXZpP+YXL9NE9r8g6J0gdoojKNFI9muzn+Ren0D9xxULXBF1sBoOQ35Kzx0NipTaK1V/RGAIgu3tCL70ldoR93++iJqaghx4MTAEQe5qRf3J22oSJ4hU/Pnz1UCnI0eEYAGGVrSIl6QQI7lN1TCQDmPq5spyhsjAD+5VQA4OSKWbka1cbf32raAaD4WaT/0JaL1IE/DmukgB0AkvbnOVUEEJA4+2wzt1zDaB3GQIU2IimUnLuDPz88Xzn5oXiT4noAQFKhJTN5H6jYF96j8Ke8efTIq/GbEcDF5q3OOWi9yonrROC+0RNFyxUtaP8RAEpaxvuPUixKl8fCLkXgAH+AwBIAjHZ56gu6CfxAj4ggII5enLePAwBGq8LcywZ9A3kgmk8G5Lzi27QCwBmqy09rUC3UPIqb6yv6hJe+U/o9ZkgA/Mf2ZBC0DhFAfIDhHpZcPXIAULJMdcDpzN+NTELONPkM+/MHb7QEAKExAACTNNJXP1vtuEmrOHq7c+8EAPrE6sAdV03p8P60jw8A9vL71D+Wk0SJ1TwzEQFgyfqUbaFawJcWFaYbAexGAPvzjPdZVwDwhRdfqhCCponYjXo7UYxc68RrkRmUR4RKB6qPiX+YXD6DyI98RLHoQquQ5gBQaWRP27S7MGinrbda60cCEj0pV1XlurUaKQ5p+kUAeOeDE6tTLmmkRNGPQ8YCEJOrhCXVRSQD3pZAFAUtKy49IHvILk4MOCfdq6Z9SbbmuRfe6KO3BmCbZeaZihxA+cnGzrEChIe55cFXtSwi1Try0eerk3sALwsRVUY4GkCu5hHTuG+lnPS7BmfSfwy2gGdvRPcAgA7IGOA4XwFACkXmmL0xeKt59JTfuH9zzDZzAvUxna5t9BzCMT30vL4WhPFc4npMHgCAJdFbT1WlY/relyv4U96cP+YAUM4b0s/zQQtAoEKKnGyJ9s+kw/l9OQA4eJVFW6ouBdRwBnKJHsmwIGnCfcsBQAqELj1h02aBip+nIovO7WPgBjx7EwD0FD3LVbBWeteJSj/z/GtJR5HI0++ub5MCLgBA9yxWXw4AvVBFyyl6gUtdalTokv3otEUAiPC3KCTahwNA50V7HzkAeFxPZXidusOZvx3ZjMzqmXXe3GorLFxdc/uTSc4pNqLYCQAWxNHbXYPcN4rCEgTk1ZxakZvct+tDVdsUz/D9Lsk4tdtPjFKzPlkTsiRqnpmIKeBaAPjp+arvb9kFgH4PuhHAdk9kzXIBwKkvvFRhBUdD1R9tvdyHWLsSaKvr+oZ7nk52aO2aIiD+YfJKMee1IWuCXzENIeVzL2tEAFXxlnv5Sv3nKsV2Ou7apIGINhlRlAeemNIkWuNTK1ePCAD5YIgTB68MDgmk5JwWnqJ2pNFVSOFWdvF4X3r17aa+W4xaRecS+FhRu06p0VIEsAQAsWtCCxDdQm8AwH8++nwz4skyomq7f/3z1bkGAHMaiNpPBIBEfLEOJP0HkHA9QbbJAsAhg6vnXuwFgM7fUj8ePeU3Bi7EsY88/470nP/00FZ3B9aRTiNVxlFmI/csxfXOO3j95ARSsr1ysrqOKQJAebOyHNN7pbaIsj0y7sX0bMpKUBHwlZZbIEkMNd7huZM7TK5FAChtQV83SrGILxkBoKwWKWhY/tPzVVjFxQYAhBdLdD02FZd4Siw38ewFgL3VwuxrwLyzN6ulc+cKACQapsjT7/7+WO3nCMFxzonmZH4inLyj3hwAerGV1vFK7lyn0wMAmZytstyCFcDNWwMAvtTQRu2xa4t95wBgr6XgF6qNvtTKi9b2Z1w6ssnNVACgOQHpqQouAUAmMURUkTPK+WPX3hQKBX95d4X9pDf3i+d3L67K0Xva9eEAcMSDk9KkIafj2W4/sVCJ9clgzD5rb3bC5aZiBDDaeXp/ZAB2JwLYQ4XpRgC7EcB2z2PtcgHAKVNfrHY7peG2IW2v9VZbohny53c+5MjE0Eo2Q94Zdmg//sOotseHDMYaKy3aEmlyCx4+4DKSxxYKnT4a3CukCdC8EgDMvXylA5CBuS8n1QpokCzL6MenNInW7usbASCcPyzVaIje4mSALEHODUO8PQjX0tIrfazZ3wuvvNV0eIi8taZ38VEbV/CpqBx1WzK2p4IW0FMCgBEQ6HrgkkJxxtaH/rXlEpLO+Odjk5vpaxbyEfve11dsAfweMY33QPp1+p1B4bJ/jKlI/5HmiFEEZtBEguWcwnZEfeGqKgLoGm7ar7x99TcD1ydmnTlxp/DV/EkQ92U9yfQQYYwk+9yzRKTFqzEBZhSBUMggOz3fzuUq+D03mXINOQeAABEGCAFASY1wDEQAFa0tgVv6iyngHACMUizi6l1x6xMtGo16H0lnfmbJPACEtvHbkzZrVij7tZC+oKfEctQTAcAY4RcHsfSOJwA4+bVm5IlJRl0rAcCVlh1QDftBDQC0SmXt37Ucc30io0JVeqfNgRsAkAigOMTaBwAQIeHojuR95ACgvgF1Dk+n/+a+aniPPI8q1x00ITlTSgEj7P/hBx8lXVlxizs9b9brBABiCkCEkdaJUUHs3/2Q73igAQCnha8YpYroJ2YnXNqrPwCQSPT3tvx8FwDazetGAPvzJoV1BQAnT32x+l4PAJQwbKzG8/RrnWekusAN46zgF5s7VCJha6y8aDN6wToAj23X/0xa3Qsb3Nv3xwkA3t9Qve8RPY2k/7pLk7Pg0ke7CQDHTGkSrRHHPb7ngx0BILp/Z/x2ZOqOFO3dDwMAH04RLSrSvElsmhS0/HRLFXts5wBQA7H2t82hDUkZhHYXmm+OlnW1jj4+JQAYAYG2Y9ae/JIDAIRTCAA8sYe/yProsZEuPueyXsDvEdN4HyIAhG9I+pABjGKYWElIGhsdQDdJB/QDACU9Q6EBsiDe/NrxOwMXrg2kzko8OUVVvUq77jniOJyLxbNDChgpk5zdoAvWsl8R6L0Pd5FwS0aAyENjX0iTNJwp8DRGh09e2Brcc9612n+sAqayELF1b1GKRROPqO2piDzvxnJLfLK6LBMBJDr2uxM3raiwj02Dn7+3dQAwVlhKsqp0fwCAfD+IPFHV/od/1ANAH6idD5pz7fAIIJPjq3qkanQsyiaUjs2/J518wh24oZMK5zMHAPFm9mci7jsHAMWxq/N4d89waVc6aPrC8gsVU8BMJnECoZqdAhYyPP1puUlqjAC6wPp+3/xCtXFQeGjX376n39SsniajU7JybLefqDzA+s4t5W/nJscUsPPOY19kAPgmiwvdjQB2I4Dtnsfa5QKAz095odp9WIPvpKpAvG814+N3T7+WNKa8MwdFdQdBJI4IoPhLrIsu3NbrLpc242PGQEebe45ZqtfefC/9G+28c/4wqsX2yGdW7S5MTn9t1xOuS1WFgMtll/hkNeqxyc3B3WfsDgCpsuVcBebQgcPM/uKrH04RrR9+OwLAhngzfBtFSEuirZwDPCKJ6CLR8wuTLlG0irQzaTrnC+r8lRotAcAICLQdxO3vbblSy31hGQBw1JgpLYMPqTwAoEd8PWIa74V0x/Q7EQ1cJACApIDdUYR1EgB87rWWqlwA2vMvvJEEt2lUqcIJ8zb5pTer3Yf22rkxcMHFOf6iu9JzzjMUmyK0XqVd9yzF9dgnenm8O/gjbxn8pt2yiv3mAKCqK1nO4Hnl8LHpEIjywUtV9FLFIuKQ9gLAOasLDu/livrxi++l3+Qu4uvESlzJtUQACPeNVClgn+tJFDc21kFfTxI1vpx0K1E3B4A5+SlFAKPGGs+89BJz9wgAyPeDyJSizHX30gGgKwrkRJsdALLPqPXmfs65PqcHAOKUBCj1SRh98P4gJDxhyhspZU3EOLYcAJQYPG4+mwVxfG3vnuGaPIuqoAlsKQXM8XLvsBZ1ia+6e+HLcpNUVCqQ8lJzi8VOvOpj334udzw4MUUTp6VgJReEcH1J+nVprxgBdN55PEbuJwBQXOguAOwCwE7foex6AoDPTX6h+v6PGgBQEQEqWKlmVfP0a6nCzDu5bdSEPnZhuYNAeoCqQ+mAsY5HTtB6GzKsAQBd+Z9IC4ADCQtFJF00ud2FyVVfirdDepmIBpEuEa29as8BIALEt/5zfHX27xvRL7hX9z4CAHwkfZCpSPMmtxFmqeLMlYzb2c5BjMj42p9s5aikZFksemA9Gdz3FwCiswXh2O8L++N87x8zOYEoNbhYpO11Dfi9boCLAJCIxl9ueaLaaPUlk9uFQJ32D+8QLigOHmrc80lTX2+miym+GTDvJ1qudSyKYeBiIsPAKTeN+JzIXYXnQ5Xddc8SvMKTftmo5qYxeSACyLuT85t203rWz9EpJO/CcgeADPoPPDG1yfHb45R/VM+98GaFJiYOKhrcY7GQH3/0As4BwFiJq/0BRKNIN/uG77nUYvNkASCZg9+dtFnFdY0NagIUBedEQe4n/eZN4CpW+UuztHR/uP5Uxiv1mItQ+rYlAJiTbGkHAKUpWjq2uglSbhsHbgAqJgP+3LEN3xvci9Af7A8AlB84ft5brL1M9pDdj1cyYE5BgJNYAoDwiYkAXjX8ycpF/uveK1/WCQCk4JDCDVpO5L9dX00AuNfgVAQyrQDQn2X1qW+w/vbvdB8A+MTUxFHONTIAu23RBYB+bbop4HZPds1yAcBJz0+t9jj19rSm3AaiKbsI36yDCwMfoLqGn6e7RZTWJRVKBFAaZqznAydSH3sOuyFt7rpfcK34CI99tmHfQxVaDgCV+s1FXnY78fqkayZh5n8+OrlJtPZBwAEgnDgI/0p/UgV67yPPV5dckweAchvhIyX+Wh2n0gs7onuFAKDATw4AKzXaXwDIQAwQl7SIriOaVvePmdJCQCcSg24jWmFqdRynCAAZ0Igukf6DS+aWcuyPa4y2GVWHagBAojuqGFYa3O+3Pzv8zsCFawMDZ8kvVwM3UkeudVh6jogqqgKcdZg8AAB5/nMDKl667piRu/d+r3Rt2DeRqNGP9wJASY1IR1IgQRG73DFL8kPLZC/n68YCMMkPXTV8bB+RbrZjAvfpRebJpliRvyAK7e+3+kI+6I/DtmgBgDkHIgHAqPMpIerSvUkAcOrrKfUI96wdABRfVvvT9cwVbLQDgJrolY5tegAgk4KVlx3QZ4LCffvXUy8meaSSskAuAih+3x5br1Rtuc6y2UN2y8jDdvlitfbAxasfnHZjS8FJSfyfCR4RQCYQRPu/u8Xn+zVq5bIUfCv222FQcz8oEEi3lupgvl/9aQ5meXehDbgcWaf7ymWhEEKfb+7e7EQdAPTCw9gnY+53t1ixGwG0C9MFgJ0+mZn1cgBQWmNRC4yZCgCDVle1qm5cGqXuECnZBwB6igiTbzxQaR7FcdI31ZZn9wBADaK5FGip71zUTdINGlARPBbPxq2bHABSoIBwrSRQAKZEADGeJ6K1/7d6P1IciwAGXsSKdOWkQHTc8Ny+f3IjjUmk7RKzL1PFqgBgbvap1GgJAEZvWPVLioUBYfsjWiM3CQA+PqVFgoKBGO9g53zW6ZxFAKhCBz7qcADdUo7jAQBSDOTOHNw/yO6KSFF8A1fNm9MH+J2Ba6YZZ0zyOzznp+/3lT6Ph1J3UBNU2FP3/LJP90WmOh0vYKIIe22zcrV5iKj8+m+PtMil5ACgLN7oNw8AGxXMel41YdHgHrmifvzRhq8TACjJnBIAZLJI5XGOYwfgJgUWnyOOiWjsn0/9euWDJpFnkfl13J5edQAj0Xo/Py9WAwBiVUfqEe5ZrkrZty0BwFw0OwLA6PYgKkHp2ZkeAMj7AgfQpZjoJwHAcS+mc0ae6HNL99UWzQFASbzkipZ0/O7GIccQcVAVECgBQEAfAJBJnvu8dzp0dQIA3as45/Peri+BWQqqpgcA5mV1Ny8AACAASURBVCbhMTvh4xS0JiLkal54GI+ZDABUm24KuPfKdAFguye7ZrkA4ITnplZDTmtEACU1Ed0APP1a+rh4V3c9NKnPByp3KFRsrbHyYi1Vgv4COwDyGT+RNiJOTzz7SjONFkn/dZdGhSO+zu5D/55s8HIA0IngDgARIAYACrTAAUMnDwAYZ6n0JQBIdEhyJzk+oo7LAbAsubRsq4OvTMLY+sDk+CdKD5cAYOSEad+A1z23WblP6o6Bjo/UMRf2SlAgT7PjJp9tAYB1TgeHnXdbkjNRk9sF/C9S7xEAwjtEz80BIMAJUChdOtnh+f30CnJ+Z+CacaYZkmRPTtuNdUTep3iHgbFdg8KgAiDW5dkhwkcleI5T9Ztr/9UCRHITEQfIOQC4xEJzVecftmHy16XSWZxVDe45mzudR3RhUcTfzzNGANVfyd8buggAMFdlC8iDBB+pBPRHehgBZSfFM/GDs+etPwDQxeIdAKrQqO5+RjFxXc8cWIsAMLo9qJio1F9dkVRuGwduFGgRAfTIM9tMKwA863cji7qVOhYXY5aE1l4/uqGFb1gCgKR9AYDICJEOhsfWn9YJAIQPfsO9z6Td1nEZS/16NJPJG8+g7DD7c6zO79N24mjrb5f2Eg9Wy+oAIBkAAKDUELocwC4HsD/PZp91mwBw0pRqyOkN3oEqDXN+oLJdOmO/darPFpwr1Inbo9UdJEReIoCIMKs5h8NToDKfZz24dmcBAMe/3ASAORmUUt+5ylul1HR+RPJEtC4BQHhDFIEomkcKkNQxA30OAMpujvSqold1ziqexpRums5py4OvTNI8ivLlZHCUGi0CwJ/dmbiOsTGYAFIjeZ/BeLRVR7MdKULSJSqE4bc6s/sIALGKIuUCAISTptS4jgneIRzACAD5Da4lDQ9eql+9uYg4vzNwUZVKxC6n7cY6qgQnMu2cxtJzBMfTU98OAHORiEuv/VdLKjJXUe86iQ4AAdWk31XlG6vWBRIiV9SPPVZg5wAgWnyIMUv2SbIyRNKiSDf7pmqYYyoBwD+cvFm17WENr19v0s/zqAnFR3D2vJUAIKluOJDeVJjCbwBAJlDoKE4PAMxJGkUAyDNK32qq0C89N3UySbltHAAyYSIdGCkKvLMICTsvNO4rFwHUuaD7ud0GDfWF2FyKRZZxKkJSRqgEALn2H3zwUeL58jwTaexPy2UpYnbF74dnkDrtR+LrRDOJAE4rAMzRkLA7JHih5vJUKFv84eTNm8vit9WPn2/qLpt/rgsA7aJ0I4CdPuGZ9QQAn500pdqrBwCKaM4MFS6bmksu1HnXan1Pn9YdInwN0s07HXddczVAISlImhdBkIqiwo3mAFB8vpwQcqnvnFI+qVYijiLV3/Pwc02iNR9cPg40jwAS3bh15PhmMQLXhuphjOejVAHbfvuYv6VKZmbBil6JU5M71pYimLlnq+D0qeljjv3cfPPM3uKpqnXkElICgMdeOCJV9caGDuTe266SB4Cmj8h2RIh22PizLRGznHSG+vAUJ7+J+M//iQBGBxkGV6J5yE6occ8RQSbSqueBKJS36CPNwEWK8PRLR6YBVPfTt1FUzYt06p5fItgueI6tH1XAVILnZDUuve5fLcUSOQDoUToiJkROaKTVuVdKySpaCR3i04vO0ywCiVQBP/6YfqfqGukQbwyuN933TNN2UcLSJQBI1TCTgJzQMlXXVPp6lb/3BbjzqIk7n2i9EgD0CaHWdbmqBABffKNZfODcy9w9jYK9er9youZ9AOBpX69mMrsv0TNKz870AECipKSAJT6vPgCA6ESmb1jBXjIHAJU+df3VeNwOAOWiJL9j8Q3rACAFPFT6f1wAkEnKAd/qLbBzr+K6YpbS/fB09ojRExuFQxsvn7jN/WlRfJ5t9Q3WfjxThYvSZQYAKbDz7Ir3zQRw181WbMphdSOA3Qhgf57NPusKAD4zYXL1gzMbxuLMMuB4kfYAxKk530ZVsnWdewFF3XqE69dcadGm2wXrupK7y6AwEAEEaER8SNHhfSkAmLNCK/Ut7TRfrg+aUtzu8esRIweACBDf8s/xTf9aPrxEaX5bBIDXJi4loXwKAmg5VxIdl/PYJJyrZU0A2EMyzlnhXXjEhtViC8xVFIKORQHaN1Gdvbcb2EfAl8H4wVCpBgAkXeKp0P4AQEl/wP8CALqlHMdDeo37vq8BQASUAXiXXtuw95J9n9/Psc++3FI5zMBFI1KZk/ZgmXh1TExiKjr3LHkxD8uZPAA0cC7IVSNiR+aRshwVwe+JA0CKEYjWqihDkwkmQ7wbeh4iVcCPO0ZfcwCQyPWN942vGLRp0h0sDfAAj0XmnyMLANFdvGzoZn0ExXVM3FveB00AXfdQ6xQBYI9vuZ8fnMP3etyCAICAIRUfAEDqWgkAMkGFpuEtAsDo9+pAK9dnnVNObn3fHxFzAKBzT9mG+/DQky9UTIRLWZocAFQFLTxeJnK55pW48gyOVeil54MCHFLAvBfc3z22Wrn2PsSFOZpKBIBKY7Ntrvq+XYeuqUkEcFoBYI6HjjTYYpad8DENdY3/OWWL5uG59Fg8Zt5/NBSlh9oFgF0A2O65rl2eA4AaZCA+j3y0NzWIFATpSJqEkut2XjeT8e0gyiME/d0T/9782c28fbaEeC9RHxovFQblY555uemmgOTDkB7NwHYXJlclR7WxV9A5j9EBoKvOU+IPB1DpXMAjAJqBPvpVckzyG95p0xWa4AW+GVGUXHMhbBcN9YpIVfpGmQz2p9RoKQJ4zAUj0vHGhhsEKcwdg4VXAoBjp1akKdUAgKSAiayplSJsLI8RQIn/MrABAN1SjvXhHcIBlCc0v1E4gwg4QLv0TEIPcPFoBi7SmkQLSkUqogGQRoqC1Ln7wwTGdQu5/wx0UCByemS/v/7RFqCU04D0AU8SOfStd1KyLOKT6h5rcI9UAT/ueO1V9OXrcD9IATNo0ySaXZL5IGJIiivntUulLyku2dTFawi/kyIQAUCXvdG6JQAIEEbyxJvrlQIEyCBQfCCtybrvgmwTtY6uJ0UuSAh5iwAQqSLAJy1WK+f6nB4AyESJ9ysWKSUAOHZqC4859p0DgBJRrnO+cB6evs/NjElPtLEUISaSxrcJsXcKWPbYup8AMENTiRJbjAWoMdDqqplL99/5jLePntCsHN+pn6LVzu9TX+cftkG1xEK92QmnKqkSXuu69Fg8VpQVEgDskcPqAsAuAKz7nrVdJgD49LOTq33OakQAeciI3indpJ0wyFN1SZNXbl0HdWRW346Xdc2VFmuxMFOKgfUcAC6z2Lxp0KcR2SICmADg975c4afqYKndySvN6+tFTgtEfqrfaBTHnLrvOunfLjpK+hUAqHQufJgHAIB/f6ziQ/2D7XoNy9lWaTs3p3fAG4/bCxlcM8rBnnSmcgOPokMlABirQtU/g94+2w/s4+HKYBzV6uGI7bjxCi26jzn7LO07ghD5v5LaQp8vekgDALkO+5zemwJGp2/shFea0TSKbxAj9oYtlirm+J3rzHVDsqckU6OoBs/lRVc81O4xStEG58UxsQAAQp9wKoN2RPTPgVIOAPpg6wBQUXl5QkuzUFFeDe4UbP3mhF6qgJ/EIecOrx61lG8OAEK/IAX8/gedAUAA44Lz5QEgEY4/DN28j6e0jgmR7zfeer/ChpHmnEetUwKATgnRuqSc8QSnOQD061i6qSUASJHLYbu0A4BbVLPMPFPadXQsyfU3XQBwzR4AeGnDflINUMTkDIBRounoGXH3EmU06ooeWgHgoGqDLy6ZfMc92lgCgOwXHUAAICl+7kt/WtSuZNs+APC3I9N3mJYTYG/Xn3/7pwcARvtJ+qVgcclF5mkegtOaiJD/aVhvBLAuc8YEEEDaBYC9d7PLAWz3ZNcsFwB8avzz1b5n35n4UejpkfpVKlibyyM490DnuqhTNPf1IQSTYpHUCcs8JeozKretgleBQfljz7zUBIAUBThIqLs0uQ9ktNYa8cDEJtHaq0Zdc4oKXGae6P7R8PVFrBdJDCJapFG97XzcddXLr7/T4kxQZ17u5zTXJ2ZJFZW0HADk95h6UmrUAaBXLEYAKBkN7glpUOdmsn8G42hYzuQAQOsRiVKRRbq/AYRIeBhy+7KLf7LFUk59xopeACDpf2m7SQrFr/WjT7/Y9M3kd9xXiGpx/0oyHBoIcKPBzq9d4/nF31eNCQAAkHco50l62T8eS/xQtZyrjltfeeQqAsBvHHF19c67HzQ5Rrr30V7Kz+Hgc4and0aN5xrtOG+k5G+8d3yyGaQx8TrnoPWKXq+sD0dY0VjfF2LPFErJpzheT0DXW29PKwCcK2lBeosAcMrLbyUOZScAEEkntlfT9cQV6ZCdv9jST98IYC8AfO/9D7JFL74DVBaO2u3L7R6vPsfCD1xvIoBOueB33qMHx76Q3IOQI/rMp+brs3+dkwpwWOHCyx9oa9PmUWl9r/Add7BZAoA4avDe8a5S5DNk21U6Pm9WzPGUIwA8/dL7kv0irU7OptSxA0CqgCUd1F/bupwSRQyYuLKFpJB0XChIuMi+Hy/vP2l6CeJ3I4DdCGC/XqS4sgDguPHPV/919p0VRWyr9gBAic5qG3kE83cMaecOIoKE0oFSDEEVsMSeWc+LIpxT4RWLCQD+dmQisMvVg/SwFwrUXZwcYPBKMD6wfAhEtHbdONecosQfDqCKEXBJAfxii0VEi1SiNyIdEIW9KrHOu9IrWV0ywG2x4CEy6NMiAFS63gEgaTcR1qMsCAMD4JIIBRGsHACk0vCw8xqyQTQA4He+tkILJ8kjpvE+RAAo6zGiA8suPm+LpRzbAjojADxqty8l43uiCrQcoI/HycBFJIIq41IERs8AFZEC9XXPEcr82P6pwS0FAEKfyAH7y254rJn6Z5tcNbpLbjgAVGGWhJ4lNaJKb937qC3mx+8uI/xeAoCkgMWlk23e30aM62PTxz6IdGPDVwKA6OuVOHEso3p9l+OvTxNQLCBV9KLjLkUAPSuhdYmoAIppRJoAQ1SfOpeydD9LABBf9IN3arV0jADQt33nvQ/6CKjHPnO8wrrnzK8fAHClZRfoI1NE4dZDT0xtEbOP+9R+JMHD8ouufDAVytTZtHkUThMb8WUFNksyQUwOee9K38S682ZZjqccbTYlZs36biXabt9a7vQfXHymFQA6v0/7jpQp56pDG4A+oFZXPMn7/51NugDQ72k3AtjpE55ZrwkAn3mu+q8f35UkMggzk76S76g2W3aJeZPrBi2SWnOHgCDpoec17OXqGgMtH0Pn7slrku28qsoHK4R/mfUBAAEDgMhY9VnXr7TTfJ2obO9uJpDlz+gRDvaKM44DAKhiBFJ6gN/SbFcA0Af2Ouuipye92ix+cMkATzPVAUCdpwNA0m5KV0UAqCpKPjb7fXNQMzWn68RgHO9tDgCWdPbYjx8Lf8t3Gn4QYMM9hVmeA4CQ8vE9FbE/V/UYU9UMXIAaJHtKERg5AlARKVBf9xzF9agsBgCSyiHiuOHqS7ZsjhgxEkFqOQDoors5AEhBFs+dvKCl9ajBPWqL+QG4zzC/dwIAefd/fOB6VQkAMtGBd+iRTfUpu7cSAKRCmJTtLif8ewFgLrUc76u/FyzTMQOsDgqe3hEAevoYr++c9Z33Nz0AkBQ9OoAuu5Teo0GLV488+UJHANCBBxFs8SRLLh0ehdOENTonlQAgk0NkYEpZkXZjRA4AxntC9uG2+xsRQIIKAP7+NK9o5rsv6aBdNluxP7tJEVEio95i0aQDQJxyKCBSqwOAVI5zLeWI1I0AdiOA/Xo448oRADL4kwKmgpEUHkBGzR0DYll77iAYnA8+tz0AZAAFvDHwqrkwsusq+TER9WDWB59JAPCJZ19u8iPaXZhcIYv7QQ78zILpg6K0JtHHM/ZvOEd4xRnXAu6Joh/Iejz05NQi30XabT4g5eRCdPwe1XTJAK/4dbPxONAq0umgywcr15yjT5HoSTfst8MXUmTGG2AsplYBgMgluPVfyWmDfUUAuNbAxZL2FgUAyyw+Tx/9PfqM/E4s2B596qUU3aHlinpitTID17vvf5iKOwavsmh1xK6tlZ3shwgy15wPbS6iFZ+ruB7yQjiBQObOcTv/eOOYFmCZ89WWNyt9OQBkAKC4RE4fkhqRDmQTAAZtMT9mBg/8s9VyAJDipZvufSZdKxrUC56ja0eM6+PTzHIit/POOes0AUBs4ugH+R0yEEQAdU91jKUIINzT8c+3poAh1b9tEUBScpIfAeTUtRIAzHl6RwDoFcQ5QfbY7/QAQDiXVAG78w77p3CLqPcL2Fn2+JnHfvWMeOrx4r8+3IySlkSaHYSpuCkKkZdSwBS8ffjBRw1e9JpLJXmk/rRcoVoEgKf++t6md/1uW6xYbbt+Xs+w1K8rQMABnFYAmJMii+l4l/bySCzHVgcAyVoQTe0CwN672I0A9udNCusKAI596rlq/3PvqpiNEAHMAUAni0dhy9whRAJ+6TD5OAAAY4UnRR001whzAEjqlQgg/CUBxk77ZL/STvPj2vf0m6qnn3utmZa7bdSEZmEDAsVnHbBuWh3u4a2jGoRjoqEAQEl74FDBR7hU8bbrCddVCGq73EWdcKlHNV0ygEiWtNUYROeaI58CVmrUQZdbXkVhYKXQqAbHxo6PvDcG4wjuEwDc9HMtumQeMY33PvLQAGMjHpiUCgCWXmzeFmFltqXPaOuGeDb3XoN6TtYniqoycBFtomgjR+ynr/3PvCUVGkFcz1mbxXOh+tllXQB0RACRApJchm/DMsn/8HtOj9LTWbgoSL9O4uwLzfeJ6hdHf7UZoVIVuAZ3Rd1y79x+Z95cjZvYqKSnyfnH12WQRgZGxRR69q+986k+Ps1sB3Cfe85ZWlLb2l+7CCAFTExmUAEgA7HNuss2o7raRxkA9spC9fY3U/XWO70pYAHAnLxMvD5eycsyXc+cpWMfAHjK5tXss82cdunOJrl7wG+lCUhpfZ/YcTwrLzegz0SJwi3eCXeHifvTfrz4QP7U3EcE6nPNucLKWOhbpgKsUgQQHh2UlZIyQumc9XuuUA3aCOoJalB1oOzQ6gStS325pM1tAMA2KfHSfpzfp3WiJI+rVTgXk/XdfCD2QdYCAChB/G4EsBsBbPfu1C4XAHziqUnVAefenWQMAICI2MbIQARf2E3VtU6jcTzQzIajyO/qKzYAoLsEeFqatBfRuQYAXL1ac+XF+gCTuuNTdayvo+iPiPnDRz3blDZRFIT1Pd3AfnACUTECFckcU0nzSrNmdzyo060iWqMZn0sGONGcwhAKRHzQ0nmp2tkBIGk30oS0KAzMgE0KiyKgA3Yc1CLPw/oMxhFoAwD5yLszgUdM43046JxbU/W2mmwHAYCkgGNkgz6jxA80AdJdzNRpFN8QFfEWJRUYuIgOIdmTI/az7QFn35KoDp04R7B+XI+UbgKAj0+pvJpdx4VItHMLcwDQJxgOAHWdePd+fuTGzcpaVYFrcI/SErlnXL9lAeDgpZIMjLh0RP/P3H/dqgQAuW9zzTFtAPDXx2+SOKcAQJw02FfU6ysBwCUXmbt65rmGLqgakyQHgIAh7kfOYSQ+lyUAmHP0iQDQJ1U5N4jY1/QAQKrm+RZGqgTfUSZnTDBzVfH+ffDJpPyp6yp0nSpCcRhR4uhEUwKAZHkAgCVt1LrvNMtyADDyMof96p40iaShscp705/mJgACgOyDffWn5bRoo3WqT2aJel95xlbNLuoctLi/TDi7ALD3jnQjgP15OsO6TQA4blJ1wH/fndJ/q31u4eRjGgViHXxFc+vcIXTKx+OBJgIokMO+3B/VZ9NyKWEdjgEhVAeAnfIO2T5nHSYAKHFeInvyg0We5OwD10un6ik6SvxZT8UIpKMffarBTcup3n/3xOtTioYoCwMqrU62wMWMfdZOdEb+qg7oYgpYqVEHgB4xjAAQYPjGW+9VXGsiWK7PyLGWACAfefcm9YhpfD4iAFRqE97OMovN04fblADg1NerIcNubO7q8F1WT6n2q29v2IbluHSxoo6Bi4IDqntjBEE7VpFEJ7pxbBPXgwP655sfr0Y/PjVFKKK+419ufrxpX8f2OeDqFAMHmAwAvJtU3P78yI2a4sq6n7noTrz2inLr90j14Heq1wGASqUKzJcAINdgjtlnaeE2av/tIoCkrwGAFBSQDiMK1SkAdGWC3v5aASBFZLyb/r6VPpklMeeco08EgFQ6cw1oOTeI2GdOW7DuU+7vNSlpvsfIGXkjQszk7KXX3ilqteaixHKnqavQdQAoi0MpGohOc9XwsdVFV/aVTuLbwD2GIwp/keKy/rTIU2bbCACdN1vnaFLq1zUNb79/YhIPnxYA6Nad6ktWefrbC9pcjofl7j4Vj7ULAPvevS4A7M+bFNYVABwzbmL1w/++pwJgEAFkJhU9Ql0WRtZjdV13WpGLSjxC0NI2Yp/ujgAYQfCW5sfAwEHYHwAoL91OK4/Zl7TT/ByU/pM91y0jxzfBiCoh06B9yT1pIKZR4s96GrQ4FgpTSr6XIk7L/YJ91FWtuZix83a80tAHnwgAlRp1AKiIEX1HZwi0Bom6ouP3wx1X60NoBoxFgWUigJClpZnIfj1iGp+TWIkqeROAxFKLzdunupE+44eVSnE4fngIx2dG/cV0CgMX0U38g2MVobZRerqTogG2ievx7BLlQwoo5/BChas0I9OzlIlcepGRA0ClyheYd/bqZ0du1JQa0QQgx++K1148V/2eA4AUdaADqEia+JylIhAGSoCeF7do/+0AIJF8xLkhzkNB2eory3QMAF0Yvre/PAD096303SoBwJygex0AzGnBxT6nBwDy7AIAo2A6hVtIIwFAS2L9OZ6o3GlyuqU6bqeKIH6+2eClm5qmotOUACApWSKAJX/0dkNYDgBS8HLITr3SPF45Tzbimxst3263Lctd0/C2HgDI96hUFFPaeZyopnf8B2ul+6UWFQ08wu3uU7lnBlHtbgSw98p0AWC/HvPWlSMAJHVEEQhcCtfcYys5hPBvBxCl7jvV5GOAIwLogr0ezXFCtYtTA0KJxD0y7sWk0s8HtVPtQY45V8gigrwikDePHN9MR0oLjW3dF5NUCxFASVcATEhv8jcRrUiqlnQCPJ4b7n0mXb460vLj419qmn975V6nAFAAw6NupN3mm3v21HcEgNjNvfL6u4kbRgRr96H/aLnFCQCGYhsAIKmSky9uiGbTPGIan5EIACU+zgcXDmDUN6PPmFrhOhNlu64niupRY/UXZ9MMXEwoqO6NVlLaRiLVOU/a3LNO5bLS0Cxn8kDKkWfx0J2+WK0zaPGWza649YkWfcE4OLCyyww5AOQZ590EAJ5/+IbV9kdck/at9GOvxEdrZaEfgCrd9VsOABIJggMIWKapovuaO8Zl3VEYbPl25Kqm2wFAirlmqGZIAJDnmwhg9OwtpYDzALBBYaBBrUBzk8prf99K3yyXR2IdXc8cMKoDgDkpkNgnhU9EsTttPrGjAAJAES0TmbxDX+CcS2L92o9risJ1bZee9UyBOMtyNZLWaAkA8n0DAPJ85NLp7a5BFgAGbUb/JsMr32GjvKVdqa/dh/49OajA10MGpl1VdGk/OTeqWOgVx0aE7mcgFFhVlbtP5Z4ZuMmiS3U5gF0OYLt3p3a5AOBjT06sDjrvngpeCDqAVGS67As70SDNv73qtNRBp64cDPpEAA+ximGPijgA9GMAxJACTlG/HgDYqfsIxyztND9+8b8o5CAqRRTk7N830izoIJ570Prp3y7US7UdHEAVIzDojxn/UvEDIvFU0jik2Wh1nBXn27lkAKnMCAB80NJ5CUxjiUbkjqaqUf4dXTmQ8yCFxKB/MADw5L4AMHrsAgCZ5Q81AOgR0/iM+LGwDJNziiaIJHGd3VKO5TkAeOjOAMAp1fV3PZ12Lz9o78udXPidgQsAWBeJ0EBHGlTRxbqXiGgZwEiNZ4cU8ENjX6g4RiozvfGcuHB0rnhF3qxsB7gCwNBULT0AAHjYhk2pEVV1a3CHS3fF6VtmD1ti51pIpJdj9YYgN8/mm2+3AsA6p4dZZ5lxmgAgEzGI8Ew0iHBvte6yTTqFjqkEAF2bVOuKw8rfAED4ePBz/X0r3U+uGddOTdczp+cZAaDTMNzpodRXqQiptL4DQNKf8F15TrwxSR874eU0gcsVubFur1bkrOk7TpM0UV161gHgkG1WrrZYe5lKXtRyuiBtKktMPy60MtEBrJt41b1jUamAdSOH1wEglfkApf40AUCK5lB/mFYAmBv3oti7S3txjC7MH79Zfg48M5yXPNG7ALALAPvzjPdZVwDw0bETqoN/cm+FzAgRQF4ABnCXi3Dw5UUHpQPo1JeXKNmaKy3aohnog+Lb77xfbX9kI9Lh/sREISk6SABwl9XT4Nip/zD7knaaH7+AicDEjfc+0yRayw+V9d0WiQ8GAFBRIKJmAC0Z0McUggCgxI/ZX13KwitufWD36+IE9JgCVjrd5T/83CMABFzAUYQCgPjtHqfc0HKLGYwjvzMLAHvcI3LPRwSAEh0n2sV17ggA7vTFatSYydU/7mlEUWUH6P25kDe/M3DhO1sX7VCqq5OUIfskPagoJH8DAIlg+XPpxxSjJDkA6FaDOQCI6DLFR6JGSL5E9z4Sy71/OR7ot04AoFxdShEenB5mnnnaACBUjJlnnDFNND4OAMg3TMDVAaC/b6VvVgkAAoiHbNMq6B4BoH8Tc4UAsc/pAYCkP4kA8px4gyIzbtIrHQFAIv2XntAAgJImylU7a//+nVDR2o5H/y29TyqoKwFAKC7oAFL8lJPUaTeIRaUC1mdixQRL7cRf3JX0a2l1nsalvtzVZHoAYEzvpvFijzVTAEUt0qM88lwHAAG9fA+6ALD3LnZTwO3eRBAs4wAAIABJREFUnprlAoD/GjuhOuQn91YIDQMAh98/IUViXC7CwZdzzkq77+QjyLZwqEgBM8NUc003j3SJK8Z6OQBY56MYj9OjYFqm1OQxu3+5ojDhhnueaRKtIZyfd8gGaVW3RSJlQApYxQgUTpAiRUYgRyLWTJMPmIRLsffZoTBjdc09lwxwsdk/mgRFBIBKjbr8h0c/oysHBQaksCji4APbKQBkln/SL+9uXmaPmMZrH8WIVWDEx22pReZp8RRmW0BnlFeAX0eVL5ZlNNeOVH/oeRElVmPgoqioTo9M6SZSVQKXda9YXI/JAwDQqQm+fayUjARx1pU3K/+GI6sKc0AD6an555mt+skhG1Q7HnNt2rUGEN37SCz3/qV3pt+i4Du/k/5GB/CNngigAGBpgOf5xVnG5W20/3YpYIqxiGxDwseGDQ6gCqq0j1IE0L3BtS7fMB13AoBvvJMcKPx9K91Pj8Sk63DQlWlV0vx7BP/aPgDQpJhyhQCxzwhg6p4xPxb+DRBYabkF+kjyULgFuEA6S2nZuF+d0yfnnq1CPoimwqQ6cOYAEJ/sLddZNk1AiKjLGao0QcCa7cMPP0zc238XAPRJOROSHTdZod0lbVnuAJB3TPaBu3398/3aTw4AKqOkHcUJtHNP73xwYksxnXcO8E8AsMcTvRsB7EYA+/VwxpUFAB954tnq0J/el6RBAHp4KkZ+jYMvFz0tHUBOEDO3Lh9XAOCR59/RXOyuDs5182PA/YLSf9JXso6rE9GMfUs7zX8XT07Wcv+4++km0RrJCQZdmouiUuKPE4jShbg/jJ3wSrISylkriWwsPhf7q/tgUVF8yH83BLU9suOpcb8fEQAqmunVn85/jKLMiAxz76AAHLbz6i0WfRwDg3GcwRIB5ENJalzNI6bx2kcAKB4aYOfTi87T4imsPuPzRHqaKt+bRzb0GN09Rv25jA+/MXAxONZZUunedpIyZJ9xPSKRAEAvTvLzj2nUHACUNyvbOQCUYwppejhesukTh8jvvYMm71/VjvotBwB5J+EAMrjTiBIO+8HaVeQvah9UXcJhmhYASPQI7h8TDYrQ4AAq5a39FwFgyFKwfgSA3G84bv6+lb5ZJQCY08eLANBpMVGzMtdfSYaodGx+b5kIAPZwtPHGfXp60mupiEtp2bg/7Ydn6Nc9AFD3Ned4ou19oohWINdkh6OuSdFWKSqUJgisTwQQy8RS8VXpvNO7/ZPbW0wJ+C1GUB0AkiYlDdyf5rZ2FIFMKwB06071r4CC/nZpL35z+SH3n4/HT+p/+40+0wWAdmG6EcD+POVhXQHAhx9/tjrs/PsqPESJABLRihpbDr6iZ2buEHKWOLn1IJzDATz6ghHNxe7r6np3fgxIX5x8SQMAimtVp6EU+84VsggMyVnk73c/3SRa4zrw00M3TLtxUjIDONdLaUDcJhASJiLIbC2aiWsAlqYb+6OyCyeNXIt+thoMHQC6s0cEgAKzTv73CugoyrzogDmrSS+8kSLApNbdoo/jo//4kQMAUuxyogFAj5jG8xLXUr9Lc5IPN8+d3Fe0nD4jr4pU+32PPN8U5Hb/aG3nVdz8xkAEJ4wIUy6txzryPOVjK7Hvulcspha53gBAHGpyUclrbn+yuuDyB5u7zAHAi654sEkp4NkAsNKIADA5I3pDladcWvRMdAIANQHRAWQB4FeIAI5P6T0aYOPkvdeq/nLzEy2+x9oHHFaYcznv5HYRQLhqAD8AIIUkW/YDAEaeMscTASBgCKFuf99K99PJ+Kyj65mTc4oA0O0Yc1Gg2Of0AEDoLtw3HG28UbhF36+92ZuWjf3qnKARkAWhCbjFylrf1r8TRPS4JtjdkYnQ96QEAJl4IQNTJ79U947lAGAsovGsTN33tNSP29qRmZF/dMkZpbSfyO9L40WPVam2iRxqH08jbcX7AaBvv8Fnqn26EcDmZekCwLo3p80yAcCHxoyvDr9gZIUEyGqfW6i6ZeSzVbRZkhE9u4xyCbluUOCPGnK59SDbEwE89md3NhfLvowf3PGiBQAO3aw65eJ7GtWWPWT7ugqq2Ldr4WmZZrkauCkwENEakAPxnuakZKo44QCqGAG3iacAgHeMS9EbHDK8SXHer2cOKGqbKG2jwd7lcfwDEgGgzsXJ/66BGDX5Fltgzmri1DdSBJioGtt5o/9Yxca1YVBgFq7mEdN47SMAlMsMmpCfWmjubAo4TigQWYbzA12BlpNcoZABSRU1jhEAWBLpZj1FEpRubfd6xdQiH3v27x7Vvo9YSZuzsJM3K9s5ABQo/eRcs1XnHLRewz5txhkSiZzWCQBUqkvHlAOARHcogAJI0AQAo4i19kH6/6OPGhyv2NoBQIDs7LPOnCLNFKGRWlTKW/sqRQCpNH+ix59c60rHkr895e/vW+melgDgtustlyLc3iIA9AllLgoU+6wDW7nj83tLNBMvYJ9IsA0TKQCg8/LivrQfuL6XHNsAgIpK16Wl/Tsh2apvHnl1kgr62REbVYsuMGcTSMY+uQ9UAfNcR/2+du8XyzsCgD+7M1FC0juT+e626+fjAoA5+TMZFegYooqCT+Ddfz4eM9FTaEVdANh7ZboAsN2TXbNcAPDBMeOrIy4YWc0z56wpBUxabfEF50r2W2oS6+XvSJbOdfHSq28ng/d2DRI9s/PjL+oFDz8+cN1q2SU+mTZ1z1v/iFN1h+4cemuS26gLn8fj8Ko9LRPPRS/s9Xc9VZ33xwbRmusBcIofJEr8AYDii+FzySyQgT43ExUHyzmVdYKjEQBqkOIjDwmb5h6mEQAqNcoACzeJ5i4oUZJF9/1TC8+dHFb2PrXXozkNFmdulQYZ927OAUC2p59ci3608pkmFb7YgnNlZWCitAZcSywL+WDScq4bzuFkHQaul159p6jRyDoik0t0ud3zK20+rQfgBig99sxLlaKvvo+opRddAlgXnUDJCrklHREAJmcQ+H984HpN8eTLT+scAGqg0zHlACDRHbiVRM9oFOkM3WutZrFAvCZcVyI8cLxiawcAedc/MfvMSeSbdbFsU8RT+yoCwE99slnZrnX7AMC33ksWZP6+le5pTJvrXcrpwdUBwE5E8PsLhPy95pnjvl1okWTOicKtZ6e83sLLi+eq/cD1pRiMpqh0nTahfyeIilG8t/0RVyexcFFKYoW7+qb4CgCYHHiCfl+794vlUaqK3+KxHnvhiGrUmClpd3UT6lJ/EuhH1eH2+ycUhfzbHW/u3qtIUdtGHVWn8ETesvcH3YSxQt/eLgewywFs9zzWLhcAfOCx8dWRF46siCxQrUTkRJEg7UA+pPwdZ8q5TjqxQ2I7pAcYbD165CKmfDi2PuSq1IWDUApR0J1zwd262VM8Rq+c1TJ9aASa3PmA63HhERulVZ0QjfMDKWBJuiA1QgTg2hFPJdseKtK8CYhJ+oRluQiDtonahgLf7pDiHJIIABUdde6XS0TEilyAGwAPIEg0y4Eex8QgGaUOAICkVx3Ee8Q0XvsIABXJgbezyIA5s0LQMaJ84I6rJs0sCXLzNx9Ib57C53ciVThDMFCVrrnkJPx5r3uJ4noIgRMBRJA3cn/YT3TTyAHAS65+uCmG7ACQCACTMyZqRMlVOfvnU7+eDrGTCKAGOp1TCQDyPMOfo/GsnjRkcFMuJF4PnGyYqE0LADzrgK9Uc84+S6IaUMFLAcrHCQDfeLtR9e3vW+l+lgBgjssbAaBzimOKL9ff9ABAvpfw/S66otV1A+3WSQBA4+XFvvWMyE86PZMjxiU+IftlApNrztuVbilORDgS/fyojauF558jvVcucaT98E1EBobj7W/xS/zeap/RSu+YC0Yk+0Va7n7VvcMsk0Xn9ALAyO9Lxx/0QKOVpo9FpJ8jBUbHjnbpdut3AaDfy24EsN2TXbNcAHD0o89UR/3sn4lbxEyZ2b+4YNrcB7oSwdy7cg/fukOkipIUsFeQegUbkYWtMgCQl4bB2gHgbaMm9Ekflvr2sLvWUapBMzZ9GFlOioNUB80LJyjxpwhExQjMdvEnZaDPFXdIhsNt7XIcIx0TbhdeIKOKTweAnpKPAFCpUVUfs18H2BEAqvgHwAsAVLpBx8O9jyR3wN4eW62cqqPVPGIa74EcV/S7JIeoJl1wvjla0rasQ585AEjFHL7VtP13GFRt9KUlW7ryCC4LGLheePXtYoU268jlxekGdc9vXI/JAwCQWX5OmxCuqMt3yKvZ+5A3K78xiYDDRnMACE9WvLk/DtsiLe8EAO56wnXJK1YtBwCJ7pACRk+OhgD7iUMGV5f947Fk5xUbz/y77wEAH+6zrF0EkPNAlBgACH/v6+ssm4o2vPUnAsi+xF0k9QhXlmP29610P0sAMJdSrAOAMcKT669kRVg6Nr+3ZEy4b9F2DU7kc1PfSADwwsM3TNH02LQfABvAjab3hG/80d/7cvYQnLaB5ud2G3ym2u6wv1bvvv9h9YujNq4oHisBQATYKQL52RUP9ineqHu3tCxKVfF7BIDuFzwtFm4CgESkAWElK892x5sD/xSsrbvqEs1NIwB0VY06AIhMz7brL9eNANpN6ALAdk9kzfIIAKkMowgEhwo+EEhvqPUXAHqKsu4QidoAAN1GzFOUcIu2PLgRAfRjQPpk6MV3JzcIvWDu3dvusnjaVOsKAKqgwNN1AGLst2ieDqHEn7ScCgaIhoyf/HoqCsnpUQkAuv4aaS8AVK498MSU6qjzewtkBPYcYNcBQKVGPfXnKfZYkSv5n0UGzJEGA0kO6NiSL++U11uKQ/IAcM7qgsMb1yu2CAAFOlHwX2DeT/Qxuc8DwEHVHaMnVRT+0PAXJZrszQE8vzNwTX3lrVSgU4oSYC8IEdtdZ+qeJXfIYT0mD3+6aUzipkX5B5ZHUOoV7+rn0mv/1eTBOQBUxTFc3TP2X6eZNmUyROsEAO58/HXJKkytEwDIOaInCRAlnRobEZ533v1gmgAgAHjuOWdNXFMAIEUgArz+zOnffo7RrYh1SgAwp3cYz6MEAHNVpREAurtOHOBzz09dxW1ufT9vvoMIQUfRZd5dvtlU5rYDgP49U6Qcis2xu6+Rf2fPuqWpCyvh+m0P+2viaEtWqgQAsWAkk0PKur8OKBxMDgDGaKUX5k2LhZsmRjg7oR4wrQAw8vs4fugq66/Wm51wbVeWtwDAmiAGwRImZ90UcO8j2gWAdaNTm2UCgKMeebo65uejKirDiADCZyNFgDWOmlfRdRIB9CrVusMgqgEARNRZzYsUfGBzAEgE76Rf3JUAIBWhzKjduq3dZYm2T6yv4g6F7L1i02fMDppI89068tlmMQKFBqRIKQrJ6fvt9aMbqglT3kiEbaRC0vmts0wirOfa6DFTqqMv7AWAAq6k57Biovm5xAigUqOa4bK+F9nEggxVVjKjR9JEtkM+GEedswQAt145VdCqecQ0npdrErJMFefIiWBRF03ued6ivypyO+h1If1D23f7gdUmayzV0lUsuGD/iFyX+JlsTPqFWXgnESPWl4i1OiblTgSQVFDOni6mpXMAUN6s7JMoMrqFtF4AOEt1+n5faYCmT8xSwWf194R/l97RnY67thnZY70cACQ9TgoYSzEa34Tj91gzgb8IzlgO7xVhcvc41vVoFwGkCIaUNlxTzgUJmukBgCgZqHglRQDfea+69NpHW9630rehBABzkfw+APC4Tar55mnYK7p2Z6mv6QGAUGFWXm5Ai6Ug/TCRAgB6ZW7sX98Hp7SIK0s0m0lLrvk7y3u0/YbLV9scelX1PvIux3y1glNYAoD7fGNgAoBULcfIXen6+O9Rq5RlEQB6YV4dpabU3y7HX5cckACAvP+8wzn5n3bH69adWvfAHQdVG3yxNzvh0l6s4yLiUbrK+2OCu816yzZ52V0OYJcD2O55rF0uAPjPR56ujv35qIrKMCKADFISBNYOnBTfCQB0Aee6g4ALs8bKi7QI9qqqTNvpo+UAkMpXdOfgfQgAunNHuwuT4zFqFqm06dW3P9kkWgOISHXQPIJFmpTIo4oR4JmRIuUa5jwpVY372U/PlypFaTmrKR1/dDdRxa9zLL0oJwJApUY98uMyO5GPhwA0/DXuPylMGY/reLj3UeQbAMhg65XcHmGI9yICQFWcM7DAQ40m9/QZi4o4r9tGT6gQ/04gZLtVqk0HL93SVdTcY/9UE5fS82x8xqUjUzS3k4gR60cAxeQhAcCJr/RxAGB915ZM/e23TvXZT8/fctzyZuVHB4BwgKBnEOU67b/WSZEAooGy9OokAvjtY65tFnfkjp/fiKCgA6hIoYDBpdf9qw8/j/WpfGfCNy0AECeUeeeaLZ0L5wUAFOD1Zy5+C/g7FwHkeqh4hWcSMIT1n79vpW9DCQDmrMUiAHRh+SjdlOuvv3p4fm+J1PHcxesNf3fqywDA3src2Lf2s/iCvRF6Vcsr0ps7XiaCVLjS5FwENxtgd8mxX60GzFsGgEzOWO/8NjzD0n3pBAC6W0jOg73deCAACD0GqaVpBYC56O/+O3yh2uhLvdmJf417scX5yhUpKCiMXug6dtyJoAupMK8LALsAsN1zXbu8CQAffro69hejksn8ap9bOEWvZAmmHfQXAEIOhiTcrkEKJrro9l8uVMz2+mh5FJJIGLpzeMgqzRkH17q+cyBWAFApZQcQTpr2jyGkfwCgihFIj5AiJYqas3jb+9Qbq2cnv94yeG265lIpipJrox6b3AKsxF10AOgCthEAKjUq43b6cN5ZTMdSSUgFK9FgIlidAkB4YMdc2BsBJIV80ZENwBybXz+WMRgRFeXaEQ2KJvcJAL72dlP3jm34qN46akK6/7S9tlm52nztZVq6irpk3A/0BHm+S36hZ/5uZErpe4S27jmK6zF5YPDARUc2fL79Dfc8XZ1zWa+Hq4NxrXfZDY+lqBUNGoHSrnIdIVJ26j5rJ0sot/TqDAD+rRkhY/+5CCAAEFBARIQmAAiQiiLNLEf7kmILdN5iaxcBPHnvwSnq2wCzsyQOYEwz94cDGAEgE1E8aHNgMR5rCQDmJnIRAAoEsc+Hxk6tjvhpr7B97vnpryOG31vuB/ctci7h3cKV9crc2Lf240Va0svESu6kvQa3fWd1PeBmw9HuBYBPZJ8BJgg4gbQrNCm9Z1GsnvUYC47arZev6FIxdZzqUh+aIAMAiQCiFVpHzSntJwcAOX/Am1qcILiIeB2NiX0AbiXN1QWAXQBYNza1XSYAOPKhp6rjfnl/teB8n0gRQPhr2E05WdzlLjqJALp8S92BwAkhBXzmb0c2V3OrMn7UR8tBKLw3KocBAOJYuG5fu5PPnYMqyQQo3drIZRP2Of2mVOhBg/NFEYiKEYgyTZzyRuJRKlXixyJBZrex4sXmI5Fr0d5Otm9EZ/ho0TyaGQGgUqMybmd9156L0TgBGvigpIMOOPvWlsNKoswvvpkqUNUYTPbaZpWWVLVHTON5RQCogiOKNAA3kt7RdvTp58vvgA4idVAAaPIn9b6icwUpeVJkJXDOtugGAn4kTdPuORJg1npEo5GBIVoSTeBZJ0apcwBQ3qysnwWAs89cDdtn7QTO3dGhEwAo+y4dbw4AQqKnCETvPylHqA5enOLXhXQ8UbdpAYBDhwyu5ptntlRsBHiDDvHvAIA527h4b0sAMPce1wHAWLiVe4amBwCSkue+Rd1F0roUOcHHjJNoHYOeEZdpUtpReo+54/VvniZPWx58ZfXRR1X16570d8kphneVCCDFT3WFJqV3LYrVs17cj0vFTEvqdufjrkuUh+kFgLn0Pylw5M7UorSXa0hG8Xq/JgQKtlp32S4AtIvS5QC2G6FqlkcASJQLAEiKjIpgJ4u7lVInANCrd+sOEVAHAHTBXp9Ns20OAMJ7AwCi/SQAGCU26vrNAsALR7QASo8gER29uEc4VVE89k/Kj1mbihEAGThpkKoTWdqPg0gHMitutUdkZ78dBmUPF7szl1eRZIBHxEoREnao1Oi3jrqm6ZFK2m2lZRdI/UUwJls2Ikvwvg7MAcCX3qx2HxoA4LartLi5eMQ0nljsUwVHpM/RhPtpMLnn/KKsEJFNInXI5NBkT+V9yeNUvzFwkb4u3RvWO/eyUQkg5kSGczcoRpaYPBABfPq51yrAzcDlF2zZDGB19u9HNX/LAUA/bo4ZGRMaHCCoBcilnLL3Wgmcu6BvJwBQ9l06gBwApECGawTv0gdbl6fxk+L9o2I4JwHSLgJIlJRzoNiI6C8AUOerPvoTAWQfkq9hUoCVJBZ10doydy9LAFBVr75NBIDiwbFO5O3m+poeAIhUF/ctWu8RdQe0uzRL7FvPiAu1S3tOln+549V3i2UqbtO+VABTAoBE6wGATOz+XQDQC0WmJXInAIjFIoA4RQAzHtB1YwrLIr+P36iC3szoKTFC7ACwjse+6eClqq2/smyzAK8bAexGANs9j7XLBQDve3BcdfzFo1MpP7NLNOwAAJKBYCdE6sRz6wQAevVu3UHwQQAE/vgPvYOi82nYNgsAT9+yOvHndyX1dxU6RJHdun5z5yAxUe3PSc0+0KqSl/0T8YG3oWIEOFvPvfhmiiLlBg7NpN1pBW7XAd9aNXu40d9YFWPOiasDgEqNSrWfTki7rbJcA5hEMCbuG+m4E/ccXCET442+oisHEUA+cl6tTDT5l0c3hGZjc19ilrFu2ufXP5/swKLHaQ4AEjHlY8lsmiZ3Au/LI2kauCZNfT1J9kjLLB4b6WdAVieAgW1VNa39AIYAgESIEQkf+JkIAFvdSdDB+8yn5ms5DESgxe9yAEikmCg3oIp7+MMfD09cTQn6dgIAZd+lDksAkOeXghmaBu2L//pwEtGOjXeAyeK0AECizAt+8hPNdPbX116mj9TM9ABAwBCRsuhslHsuSwCQiQnyG94iAORZ5zmm8U3ygqhcX3XvfG59v7dw9XhPSW17Y9LFfXBplrgv7ce9umU/hpXcqfuuk31n3UqSb9y3vvrZpjqDNBD9ufWdwNdtAMD7k5Yr0eT+tOhW5M+k9tMCAKcBuKk4Co1UMgsAwLrivNLxR34f60GP2cLoKVHb1TUko3uR94NrFtFN2XN2AWAXAPbnPeqzrgDgvQ+Mq064ZHSSfgEA/m3EUykdIzI1G7o1VicAkG1iOjJ3sHwQ4HM48d9fCN+Pp6HhvREBbADARpWVF220uzC5c5APLCmtDVdfMrkxaCAmJf6r476Wdis3D/7NgE8EUMUISEY8/+IbPSCj78Ah8CPeG/uoiwbc+8hzLR67cjARAJxhBlLAWzVPN15zpUa/ccTVKTVE88hUBICqfiUVi8j1QecMb7mUXLfoygEA/MF2A1v0Cj1iGu9FBIDimwLiZplpxj4WV/TpVc/sDwBIOlWV1DlAB18N3poakipUMHO/coCR9UhTQYGQIHa75yh6ZvMsAgDHP/96C9DWfuIMPwcAPfJMRFnaew4AAZfcG0+1dwIA5d6g48kBQJwUbrr3mWpqDwAU38ot6vy6EAV/8bW3+8iSsE67CCCFRgvNN0cCgBQA4dEctQanBwDiJY5Atb9vpXtaAoC5Z6UOAMaofa6/6QGAiFpz3/zZpg8mA6++3gMAj944XdfY9IwwcTn3oPXTYvjLyHBB/6C4KNfcSpJvHO+S9FkVwSoBQL6nAEAmV3WVxqX7Et2KWC8CSecJlny+695lcaQBgNhL8u2YFgAY07v0iRcyFodqUdpLKXSW1wFAigWJbuKaQ+sCwC4AbDc+1S4XALxn9LjqxF+NTuLPAEB8bF1Pi538uwAgHwQGGOd9eUicvvXRcgAI7+14AOCjvQDQOXvtLkwOAB5/0Z3VyEcnN0WF/3LzE02itXOt4L/Bg6PxcQNQqBiBwZNCA9KTskzyYxH4caHtOlFYUstUO6tJMkCyKO0AoFKj0uxiP16cEMGYHBMYuAUy/Pi5blGUOQcAPWIa74XziVgmvinHOuMMMyTB2NhnXwA4MKVqVUmd42l5NS37Y+CiQIcPfC5lzDo//fPoFAGPVoil54lzp6hHjecBAMhv+EQzUHuLJG+X5NF6V902tunykAeAM6Xo7CH/fVvlxTadAEC5N6ivTgCgJDfQnQOcxoZuJtHCqEvHeu0AIHZ5Cw+YM0WiEwBcZ+lmAYz66Q8A9MwFkx8BwChsn7ufJQCYe1YiAHTecpy05fpC1Hf/b+VpH7n1/d5SrLHScgP6XCcKt5i0uzZf3Jf2g/g6kie0ux+aVA29+J5kJXfG/l/JPuqSr2IhFpc7fnWFpkPTb0/cNKXvSwCQjApFIBQ//dsA4DnDU/EabYu1lq6GbLtK6ZXN/t4EgIeQAm4AwGkBkjkAiDQYhSlqox+f0kKX8YxXpIj4wXI8RMi7EcDeq9LlAPbrMW9dWQDw7tHjqpMAgAv0AMDbxyVRVhTl1dz0/uOMAJLOWGPlRVt4X14WT//6aEUeogCbInYlHapOPvasQ0SRlKvK9p2LBSeSyCRtt5P+nqJgNAjODOo4ktAg0LOsFGVSxM11Fr/yhcWrQ3b+YvZO3vPwcy0uKbo2AmEzzlBVV9ZEAAVCJdlAJy5QHMGYhI1nm3Wm6uS9BlcHn3tby3Fx76MmXwKA3xiYdBTVGIz4sOVa7JOBHwI2ItrVDFUfiyv6jM4yEKtJ1SJZQ8tVXEfdOgYugBlUhlzRCPu58C8PpAlQJ4CB9eN6pLsAgEgBOddS1yHKPGA9tVyP77XWcf1JKi5VEQwJHJ4raXL4mVQ+up5bJwDQJwL0lwOAOF8gA6NnXNptF13xYHXVbU/2uaVUwrNudKZgxXYAEL9p7P8oaOEdY4CLka3+AEA9S/TdAIANh5Koa9rJN0HXM0Zw2LYPAOxxw2CZAFX24e/5sY73m9vO7y3ak9y3GCnl+r3+5nvJls9T0r4/7QeO69kHNgCgACt8ViYkuea0F54PIoAzeoeAAAAgAElEQVRbH/rXtKqqWEsAkCwJTiDoe0pTsu7axGXRrYjlUbTa08R1slqlfiWP9JMeAHjZNALAXAV4pBBEjqhz3uukzIhIpnP7UTcCqPvYBYD9eZPCugKAd90/rhr669FpMEEGBvkTPtxoaKkBUoic0D5OAEjEiSIQRELVXBmd35oAMPAQ6yJ27S5L7hwEACWdwkAuojUDy29OaABA91MlFcmgrmIEJDSmvPxWmkXGmR/bCgC6zA7R1cN2WT17yHEw0ce2CQBnnKEiHa4WU8BKjW518JXVhx811nKLMid3s0zWZrPOPGN18g/Wqg7JAMCoyQcABJC59IVHTOOJxT5FN2CgpaowRpK4V259x/4AnH+/66nkuEHLybpE3ToGrvGTX6tGPDCpwr2Cj2lsAjmdAAa2jesxIfjzzQDAN6of7bN2RVGNtyj0mgOA7mACsBUgggROdBJwfvz31/g/7Z0JuJZFFceHTVAQMVxBQUVFBFQkJVDMwgVcctdMzSU1zVKLyiVLQDZRXLIEXCpZTCTFMi2XLFFQUxHZRANEZRFFBAFZhZ7fXM53z5077/u93/dx5V458zw8wL3vMu9/zpzzn3POnPF463IeWQigFO+VPkUJ4NH7+lAUeZk0Fl4ccTds7GR/ikrYqIWJ1zs8m5br8hFAnovekR3N5EptSgLoydDj0yqVtYpNtiQPYJjDxb0hAZTzcPmdhFTTdFApBJA0DU4CCTfL4P1csRICWF6cOexDjgAqsicha4rA37GRFIb3yRnm/JxNQngAWUzQZFGaRADZGEUImDzvtFqDSXiFpxWJntJFq3WYmHlCSkohTaokeAI4aZ6vd1mMJzG2AzzMBQ9Le2kCKEW5Y31nUwq7ie0kkHJ0jAAWIuXBtUIAX3pjtus3YrIPe3Vss5M/KxUvA/WkpB3RobknNbRNSQBRZhBAHfbTh2PzPlFaYRi63GNXdg6sJmz5YIl9A6FWQq5St0lvIiDEQaiDJkVD+TdEBAIomxFw9S9eusorETxaHG2lm5RdgSBJnbW06vihMZHwuOTh1aldy1EIWlpIAAmN4pWU4/S4jrBbp3a7+lt0cjf/Z2X96vSFrm6dWq7/5YdXKFgqYx+WZIGEgBkeKWnaYxqORUgAJd0AQ4vxCjcTRAngaQe4f770ni+4TMMjwe5E3cKyJRgudmBTsidWOJp7JcwZ1sFMkidyHSVXjmtYPCCH5Brqcjtyf3jWpz6WT67R5wVrAkgSOPm5W9Wr4268uJPfdKPLeWQhgNoTzPtiBJBQOaEoOQlIFijiHQ2x4MSYDxevKIoAcnIKeoeC5KQCQADDzQ2leAC/WL/el6fR8y1pLJMIYGyxEBJAXXZFNlWk6aBSCCBj1r5V00oFs9m4xTFwujhz2AeREcocDb6qzNsnm1Z0XmB43yX9n3EfflKW9lJGAFu7U68pq/MqeclJBJC6qvSJSg9yrnQaNuHvshBAfU1aXdWk9woB5BhSNoEUSwDD/D7eF6anhJuEtLc2rBOq+8sGkGM6tcidz245gJYDWMg8qnStEMAJb8x2/UdM9t4EysCQ54OXQTYNcGNVEUCUGTmAOnwkxY6lw/kJYFml9XDXZxo4MQLY9w+vuFemQQDLjhXTz9MnLkjJAJ7P7lfy/WQzApOUECmGPhY6ksLLulxFeKyR7vdLU+a7/n8qPyZPCKDsxIWojR2UTAAhEBBASdjm2ddfcKjfee37v7EwtbxTTlupXbuWD2Fe87tyUsc1sR25UQKoPKbhOISkU9IN2LHMDsbwhIMYAQR3vGFyOgHh3XO7t6nwKry3kDFpGC525+oxDvvGuzFkYRmkJFkKiQVEmDqAlAIa9OOurs2eFU/5kJIb8jzysMjH0k0fF4fxEEKER4LwNN5ZzmzliEC9mzMLAdSeYN4ZI4AYd0LAkudK+gdETfIjQyzwxEB4w9xNrsvnAaRwNgSQkjakDZDnVBIBVOWrCAFDPFhQ6PmWNJZJBDC2WEgjgOEYx95HSR8WC1mbHlt2ADNu4ZF5bNwiaqOLM4fPl+dwMsqtV5bl+0lIUstSeN/F/Z7JnQ2PPkFGpNC/RGx0zrS+nzFmHG57cKIj4nPTD+PFppOwCI+r5Lowl1Bfg5eMiEQh7ewbnnScXw8BxNFB/nAxoeQwv48+hIXEw9quOn807TADnAtsTpTjOY0AGgEsRMYrXZsjgBNnu/4jJ/tSCRBAcunq1a3t82ekcWQbKyMhAVlenGUXMCEyCKAuIvvozSf690uT54R5iOIBJOx2dKeWbvQzb1fKi8mq7LlOCKAU7tS7SFldP3hT2Zmr+jgtvFbk+8lmBPI0CJFyTm0sz0yOXtObbNJqY02YPL/COcmyQ5qQG7X46tap7SiKHWIl/yc0isI+ZWO+Dj8n7EZYj6Z39/F/XWybEKb26snYhzX5IIAYM00W9QkV4RiEBHDr+nX88VV4WlavWed3beoWI4BcS9kfKcgNufv+cftXuC8sWwIOEEbyPEVmwr5JrbtwF3ySHIXEgsUDpBNviT5xRe4n/3Dg8HJCHyOAOgxUgQAevqcPwTI3brioky81QoHjO3uW5XJlIYDhnIwRQMp8QAApmk2THFXZIR1i0fuSzj7nsRgCSHhwt5239fUm8bpidDclAVy/YYP36oab2mLjmUQAw0K+3BsSQH18Zdp5rvLeUgggOpNxg6ToBtlm/pDqEZbSCvXDfi239+dJ0yRsqb3JIT564xtpLmcfu587feNJT/kIILvE8cQOhgCmnDaSNMfC4yq5Lswl1NekFdZPeocUSC+ZAAZnt/M+qZso7w53iXPEKLv5aeFZ4bq/EEAqRsjpTEYAjQAmyXOmnwsBfHHiLDdw5BRHSQsIIB4QPEuE46RVFQGk9AAEUBt9ijzXqVOZAIZ5iH3uf9mHK8WY//mpGZXCIklAxDyAlEIg5Corfk0oWV0T6qDp0xQI80IAZTMCBowQKWGg2PFkslLVOZZpO+NCwiAlA+Q0DsgAhDlU8PJ/VuoQH30sH94cyDRN7+7j/3qjDbtY9cYOfh/bkAEBvPLMDhXCxdpjGo5B6HUkpEm9NnAnhBWecBAlgKe0994w2YGLUbrghLYVXhWWLeGadxd85neOyxnJYd8kbBxugkqSI+SCvCtppARAABmf2Dm/IaHn5IE9m1X0AOqdgJoAsrggPxfST94dCyCdt7XJCOCx+/kQsIT8mPs/P7ejr+NGHcKwUS4IAjhsbMXd21yXzwNI2ZwWOzf29SYJp3OcX1jguKAQcOABpB4p0YUwpzk2nkkEMDzKi3tDAjjsum6u2Q6N/GPTTnOQ9xZKUvTYUq8PAshGBd2I2jCP9Okc4XfKc3TJF9m4gCd26LXdoqJ+Ud+nczmhpx65t/cAnnH9E/5aOZ0oyQPILnE2gXDGbdppI0lzLAsB1CcaFUqutU4fck2ZBxDvKikXlxeYSxjm9/lnH93a5yhLC2u76vSBtNOswJ1InJzOZATQCKC7++673S233OIWLFjg2rZt6+644w7XtWu8llM4wXIE8PVZbuCoKa7lRgJIsVdyy3DbS6sqAkgoghxArfT10Wa8X5RWSAAlZ082bZAUHa6KY0ol3Dkr1wgBlMrtuowIhOChfsf7S/VpCmz0eH7iB7nNCCQg4yFL2mgguSo6xJ62My4MJ8nKXggg4cBHUgggoVEI4BnXlSlrGiGZIzrs5v8dEkDtZaVeIGFG3ZIIIISKsiTStMc0HIOQAIq3GfLEZo+YByjcBAK5fvzF2X6zBQ3leOGJFQngvX+d4vNZpXHNu/OX+tNjpNh32LeR/3jLG9YwBzbJOIn3Un4PifUE8NOVLnbKRxjSjxFATSA0AaQGGN8DAWT3LGdh77N7E3fbxp2bm4oAYqyee/UDH8amSZkiOSUlxIJyQeRWFkMAkRtCj54ANtnaJ97HFgDyTv2NsfN9dUgeD/wGt8HnJoYpLbHxTCKAUhVA35NGANNquckzSiGAkDc2gYTnMqML1n6xvowA9jrWn7EcNsEPLyIefpqcTat3lIf36coHnEcLAaSoOG3MgONdg63quvDkHXkGx2XiAeS896II4OD/5HJ95ZmchoLnWZquZ1pofiXPkJOSIMDkdBdLAGNFwNl8dm6P8vSUsExQVgLIAvbwA5vnivMbAdzCCeDo0aPdeeed50ngYYcd5oYNG+buu+8+N336dNeiRYskm5X7uRDAF16f6W4eNdUrYsjII/+e6agvhyKRVlUEEAMGAdQ7/5IUcZiHGG7aSDqsPgSC/Da9c1Z+P+CB/1YgbigBOZeU47dGbySAupguW/xRGLIZAcVOzTo8ieERQLxHShroEHtaYnS4aUB2jBGeIy8H79kjA0/IfWIY4iM0CgE861dP5q6Rs475gS7vwP/1OKNgb7z3pQrwJeUAUtNM7xgm5EbNwlgLw86y2CDUBnaxXaAhAST0DhkSkhI7AD7ctYrhmj1viT8/mNMrIDZhk9IxYQpE0mTC6JK3KI0xhwCSoxkngGVFd6XFCKAOIXKcoCyOyglgLX8Gta/dpnK5NhUBpPYgIWDy+mhHdtzN9fxeR3fnQ2/4M67Dhqf4/QWfVSrgzXX5PIAs3th8wKkmnKRxfJdNSwDpA6HpLOOZpHekzJT+7koE8NpurtmOZR7AtJ2c8oxSCSB5gJxWoZuO2oTF9OU6kRF97JucX6trSoZjfGGfp3KbnZhrEEDRKZKznUgAzz/Erf9igxs08jXvuUReCmnheeXcG+4mLpUAyqIeAjhu4lwfSSpmN3GY30dfw/SUsLarTh946uU5lc5CF6wggF0OaJYrzm8EcAsngJ06dXIHH3ywGzJkSG4+tWnTxp188sluwIABeeeYEMDnX5vpbnlwqlfEhIB14rw8pKoIICEsCKAuaZCkiMM+lG/aOMihUMOk/yQAwp2zch25WYRcpeyDriOHp+fh/mVE67RrHs8ZfQw0BFA2I7D6pGad32l6+oGOHWm6CQGEhJKsTaOuV9/L4koxzCeSM0c50/aS/s/mJYAojdO77etIcpYmJ6fwf13eQYw9m1polIvBy6RbVgKoPabhOIQEUBYbhNqWLFsVPQkiJIB4dx4bNyu3USF2bueQR970u2alYbhmzV3qS/ZoL6jun5B+PT5pEyn0lOOZZP6wMzhW5Dks68PZoyy8dNOkP0YAeSdhNTYH6VBeVRFAOakmJD25eXPF4W7O/KVFEUBIP5tgONUEAogHMJYDKu/K5wGUouJetk9u72+DAGYZzyS9E/MWh1hAHAih0tLyuOQ7Ct2ooL8b0g+RCvU0kQ0J2uQjgNoT9877n5adKrP91u7+hOMbz+/9VO5saDa6QQBJhaE9evMJrl7dOi4pBIy3mmjSzcNf82WRxPOYNq/077IQQF1btNBTVniXEMBhGz2AxRLAMLzLs8P0lFAH8E5ZPOgKACE+EEnyxaU2qxHALZgArlmzxm2zzTZuzJgx7pRTTsnJylVXXeUmTZrknn++4hmuXLB69Wr/RxoEcPfdd3c9Bz/l3p630ieUUwYmXFlyfVURQHKoOAtUCBTvKpQAUtKA/JtZ85b6UFS+Fu6cletvHv6q37xBaGm3HRv5Pkm/MCCEoGlshhHvKKSZcKwUzWYVvW7dek8AYsnjsWONqDHI7rhYw9MnO4z5PfmShFvY7cduVkJbfxmQ7AFkYw85VuQkSsOAUMCY9sq0BX4DhjSMPSEsmpwLrPvF2MTKwOAl0UWjISmSZxh+F/3WNSbl93iDOFFCvK7y81gOIIVsP/hoeW6nOkd9hWfqYtjmb/Ri8SxyFSmUS9FpCBThlLCNfvbtSics5JMn/Xtkh40p5GLFavyFhb05eqplQAB1GRFqiElIFALLBi0ahpTSQ9qgbjIC2KMsBCzYCQGkjIfIhv5mdjvjAde1POX3+TyARADIFyV0BgE5/rC9cqfv6PGXf+cngA1yRAUCyOIiFpqOjWmS3tEec7kvJIAcTUaUgIbnVE6lSJKdQkuV6O8GL3app+m68DSlED9NAGd+sMRHJogmdNlYHSDsN7mr4umG6O7RrHHubHjZtJfkAaTqAItdFthsDuuw706FTCn36lsLK+TZcjOhfn3ONl418odpHGnKwqiQxqILkkou5/MT53kdxMEInI5SSEN/SU1YuQ8d3Kp5k9xjqBMrZcP4oZad+YuWu3feLytuHzYIINdKqo0RwC2YAM6fP981b97cjR8/3nXpUr6tvn///u6BBx5wb79dcYcYwtSrVy/Xu3fvSoJ17BUPunr1t/E7tCCAekeuXEw1d7bx07LWAZT8sqz5VDGFz89E+XHiwIAHynZQ0oeknCR2VEkJi9hE0scg6d+HHqNCJn7sWvqLy143KV5d6rPlfrwm1JGS9ovfjnMz3is7EqmYRmgUHESZ6mfIu1atWVchp5Dj7zjaCm9iIQ1FLTtNuY+NDfXr1XG/uady2JkjvaTuWCHv4NrwPfys3+Vd3AF7Vybd4QocQi+bIdLeG3uHLg4s986Ys7hCrqQuAivX6NMEIMWcoUrDI4vXj+LG0nQJISElaXlWt458Pbebn2dwzm043/FccxawyJGE15OOqcL7NXvuUh/io7EoYRGEQZUcxTA1IYYrpJ5NVBwZJk0XYOdn4ulh9zUhcU5JYfNI44b1PQnFOyXH1UFMP17yuc89C5t4y3SqSxIBjIXpwzOdY7KhZYIFJLucpbg2c4YSTVmb3oWb7x7SEkbd1MMvFMMmFQx0kXrJJ8733Njv8fSPuuk4nzMO8ZFNYxpXPH4QwOuHlJ8UVMy7qvoeZGJ4r+7uxUnzot7sqn5/vuczZl0PauYu6PO0v9QIoBFAN2HCBNe5c3kybL9+/dyIESPcjBkzKslTkgdw1BNvuEbbbus6td3VbddwK1/DDo/WVvVqux2229qvNlHkL09d4Frt1iR6yHhMeNkZ+PpbC713i9yu9z5c5lf5eM9W+91qG9ziz8o8kpDE7RrV92ebhrsiWemiOEn8pc4S1xE287tt35zn1qrdyngc8JKxO5i6Tnh9Fn6ywodGWNFxFuwh++/i/x02Nm/gfVmzttzA0i++PyQB9JNCzlIrsWnjBm7Nui/css/LdoQ2abSVO/yg5j5hXzfKt4Dj+vXOr4Zr1arlvyOt4bHkuCx95qxcT/hY40WolE0OkADC0NrThpcMZa/x4jnNdmzo9tilsfeggh07mqe/u9i/AqXYfKdGbt5Hy12H1jv5wsM08oYYUzxdyA05ViQ3UwMRY6yJXezbdm26jdureRP30tT5Hgsw7npgM7/7Gy8Z7yG/D++wvBOPHt47imDLGPH7z1etrXBsoX5fo63r+vHG6yikFkPMbmeMctiQyxfemOdlp16dWp7AT539if9ODGqD+nU8Fh6Tj5f7vuONOGCfHXzep/QLuWN3d9iQeTYI4QVosfO2XqbDhrGcMGW+W7X6C7/rj+/lXXwH5FBOP8HoQgDZPEGDmL86baHrsN9OvuxJrK1ava6s0Hfd2n6u0QfkhHqFb7272MtL1w7NfTFzxpNxRY7xOtEvZBdP66x5S/ycQHbwSlAyig1LS5ev8V4TcIIQ8Dtkl5SFmXOXeHyQZzYxgIOUmoIwgBf6Af1Tu3Ztf13bPZu67RuXb2bAQ/La9IXuwH139CFX+oMXlHnGedyEyMAWLxzP4/k8D1kFL+Y9eo0NEuzYBH9klu8L9c77H37mPfnkm8XGCO85XrMPFpafBS3XadnBK0SkgHEiRMg9eMeTxig2buiIqbMX+d20UkCetBTSZziGEtK3YGOhZnR1eAKNPJNvZZyZ57rSAv2K6RfdF8aGeaEXh+xI3ld5yZAZ5sbCTz73+n6HJg1cl/Zli2B0K1gU0wjtoyuJSkz+36IcBvpZoQ4u9D177trYyxXzCBK4fGX5SViFPKt2bedlE53x2Yq10WgH1xC1imHOnMMTS+QHWeEaiDYy06B+XV+2Bz01+/0P3VndD3JLly51jRtXTCMppL81+dot9iSQYkLA4UBLDuCWLEA1Wfit74aAIWAIGAJbJgJmv7dgDyAizyaQjh07+l3A0vbff3930kknFbQJxAjglqlA7KsNAUPAEDAEaiYCRgC3cAIoZWCGDh3qw8D33HOPu/fee920adNcy5Yt80q1CVBeiOwCQ8AQMAQMAUOg2iFg9nsLJ4BIJN6/QYMG+ULQ7dq1c7fffrs74oiyI37yNROgfAjZ7w0BQ8AQMAQMgeqHgNlvI4AlSaUJUEnw2c2GgCFgCBgChsBmQcDstxHAkgTPBKgk+OxmQ8AQMAQMAUNgsyBg9tsIYEmCZwJUEnx2syFgCBgChoAhsFkQMPttBLAkwTMBKgk+u9kQMAQMAUPAENgsCJj9NgJYkuCZAJUEn91sCBgChoAhYAhsFgTMfhsBLEnwTIBKgs9uNgQMAUPAEDAENgsCZr+NAJYkeCZAJcFnNxsChoAhYAgYApsFAbPfRgBLEjwToJLgs5sNAUPAEDAEDIHNgoDZbyOAJQmeCVBJ8NnNhoAhYAgYAobAZkHA7LcRwJIEzwSoJPjsZkPAEDAEDAFDYLMgYPbbCGBJgrd06VLXpEkT98EHH7jGjRuX9Cy72RAwBAwBQ8AQMAS+HAQggLvvvrtbsmSJ22677b6cl1azt9TasGHDhmrWpxrTndmzZ7tWrVrVmP5aRw0BQ8AQMAQMAUOgHAEcOLvtttsWCYkRwBKGnZXD9ttv795///0tdgURwierKvOKliNjmFSeZIaJYZJF9ZqcmJxkkROuKVRW8H0tW7bMNWvWzNWuXTvra75S1xkBLGE4LYcgrpxwpxMet7B4GT4mJyYnWdSMyYnJiclJFgTi19j8KRw7I4CFY5a7wwTOFHYW8TE5MTkxOcmCgMlJFpRMnxgBzCInWa4xApgFpYRrbCKaws4iPiYnJicmJ1kQMDnJgpLpEyOAWeQkyzVGALOglHDN6tWr3YABA9x1113n6tevX8KTvjq3GiaVx9IwMUyyzHCTE5MTk5MsCMSvsflTOHZGAAvHzO4wBAwBQ8AQMAQMAUOgRiNgBLBGD5913hAwBAwBQ8AQMAQMgcIRMAJYOGZ2hyFgCBgChoAhYAgYAjUaASOANXr4rPOGgCFgCBgChoAhYAgUjoARwMIxszsMAUPAEDAEDAFDwBCo0QhUKwI4btw4d8stt7jXX3/dLViwwI0dO9adfPLJOYCXL1/urr32WvfYY4+5Tz75xO2xxx7uyiuvdJdffnniILz99tvusssuc9OnT/fFian6/b3vfc/deOONrl69ern7HnnkEffrX//azZo1yx/v1q9fP3fKKadkGlz6cuCBB7p58+a5Tz/91J8PLG3UqFFu0KBB7n//+58/LaR79+7u1ltvdU2bNo0+m2edc845bvLkyf4buadhw4Zu1apV7sMPP8xh8vzzz7uf/exnburUqX4Hcp06dfw1MUzYqXz99de7q666yt1xxx1uzpw5bs8996z0/n/84x++f7T//Oc/7lvf+lala9566y233377JeJy5JFHOvqm21lnneUeeuihCj974oknXJ8+ffx38n1HHHGEe/TRR1Px5t3XXHON+9e//uXY8UX19rVr1+Yw4Wc///nPHZhTKqFu3bquVq1a7pvf/Ka766673D777ONPbbniiivcc88957beemsvC4zHhAkT3O233+7++9//+nu59he/+IUfC2nTpk1zv/nNb7x8vvfee/76q6++Oq+MIBPI6d/+9jd/7Xe+8x3fH5ETxg0Z5bl84wknnOBlPEsTHCdNmuSobC9yIHOH7w8bcv/tb387hwn3DR482N1zzz3+u3baaSc/p5AZaTNnznQdOnTwz+cEHN34/69+9Ss/fnwrssXzjjvuuOgnIH833XSTHwNkmjl57rnn+mdstdVWle5Je3fsBX/605/cbbfd5uc8388fsO7SpYu7+eab3Zo1a9yPf/xjP9ac5MN5oMz7lStXum7durm7777bNWrUKPGbsshBPl0W6/ebb77pBg4c6F588UW3aNEiP5eRC+atboXqFH0vOg4MmDc77LCDO+yww/z/W7du7eet6JQGDRq4L774wsuUYDJixAg/xjNmzPBzR/DkXn7ev39/x1jxbOZPz5493XnnnVeh7zKHedf69etd27Zt3cMPP+xatGgRlRX0UL55yXhfeOGFle5nPPmOpPbUU095O/DGG2/4vtDQt4cffngOE8Gafkvj+7SeT7Mdgikyg5z/8pe/9GMqrRg5CW0E8/Wkk07y+Ovi+/nenaZf0KPgDi477rhjhbGW733nnXe87UFGwDq0fTz/hz/8odcroiuRkyFDhjj0Ffqa8e/Vq5c79thjK3QHW4quxybx7H333dfdf//9rmPHjtFuZ8Xk97//vfvd737nbSAyh875/ve/nwhFljl5wQUXuAceeKDSM/bff3/HuNOKGee08dlUv6tWBJDBHj9+vDv44IPdaaedVokAXnLJJe7f//63u++++7xyfPrpp92PfvQjh0AyAWKN83qZCDwTI8CA8pwf/OAHfsLQXnrpJde1a1dvlCB9GE8MPYq4U6dOebGGpGJU6L+eBNwP+UD4TzzxRE8QmfwoR94Ra9wPWTrkkEP8xHvwwQc9QUGYeB73QTbbtWvnv4Nn8n2LFy/2Bh0DrTF59dVX3ZlnnukVA4ROE8Bnn33WT0BpX/va13IGWAggBForFfrEO5IaBJDJCrmThrHQh20zXvQd/CEiKJApU6a4008/PfG5GOhDDz3UjxsTF4XMePIMITuQFkgW70LxQxBZNEAuUfa8A4PHN0BQUBrnn3++O/XUU92uu+7qFU2PHj3czjvv7CBWP/3pTz0RY+xoYImxQgnxOxRUFgLIM+fOnesVIe3SSy/18vv444/7/69YscITV2QUbOh7FgKocWRMJk6c6IkL8qIJ4B/+8AeH4oMQo2z5VkjOP1NGR8MAABk+SURBVP/5T0+SKGPEXGKh0r59e79QgoAcddRRvn8YPIw9uEGUNQFE7sEUIwRh5ExNjgHcdtttvZzGGu8dPXq0O/vss93ee+/tFzHIA2SBvuuW9u7YsyF+jC0LyaFDh3rDgpxg1FH2LDgwPMgd/4ekPPPMM/79zE3+j1xAkpGD2DdlkYN8uizWd8YJw4jug5SCNbLCuEBYacXoFP0uvok/zAWMEuSPfz/55JN+foEDpJz5wjFZLB75FvQL9zFm6KZ169Z5/LgXGQITdBeLQ0j83//+d48l80iMu57DPId5yjzmechPrDG/881LCCAkGV2l2y677JKoT7AL6FQIL5giD/QZfYFM8l3YGRbE6O+PP/7Y/2FeffTRRzk9n2Y7+CbR0xAhbBu6+c9//rMfY1oxchLaCEg3i1r0B/aC9u677+Z9dxI4sjho2bKlfw74yFj/8Y9/dMccc4y3lSyUIc/MH4hiSADRYegbcGMxja7kD0QYW8S85HnM+VdeecUvMGk8h39zDTodHJEddCbOmVjLggnEE5197733epljAYi8g5no+PDZWeYk+hIZlcbcQPf95Cc/8d9f7DgnCu8m/EW1IoD6u1i1hx5AJhPeJFax0jDGeBoQyKyNSY/CeuGFF/wtPBNhZjJKY+LjHWCypjWECmMGYWSlrCcBgs3vEV5pkDQUOkYya/vtb3/rDRokAkxQOhAdlKdgAhGE3PI7wQRhRylg7Pv27esOOuigCgSQycvPYk0IYGxVl9ZvCKC8J3Ydk4OJ3Lt3b0/msrbvfve73ijjhYjJCcoCgoJBEy+GeHcgWpALvEys/sAeJUSDbLOCQ6mHR9cdf/zx3uihBMLGN4hCS/sGxghD8/LLL+cWE/y7c+fO3pOC90Q3+gLBykcA03DUc4d/880QCIiWEH68OyhWvgGyzu/Cvki/kKP58+d7+eZ6TQAhWcgm36I96lnHVa7jGcwVDLNuae8O34GsNm/e3BNr+ho2DBHfjMcZkofnFZlh4cEiivlF5AESy7jjLc73TVnkIKbLsuKDYUeG8JbSStEpMV2FsQcTCBn6ANkEE+YZi210CgsNCCkkUXtqBE+wY5EVNnQPc0h0c9IczoqFXBfOSwhgKJf5nvmXv/zFf7NEErgeucGRgBwgR5APiLDW33jy0eGiF9NsBwtV0dPSHxYZoqfDPpYiJ2IjxK4wbwp5d745J2ONnsXrp20lCwdZAEhUA3uE8wT8GK80XYlOAkdsKI0oH2RZ7HO+sUz6fYgJi1gWq+gaafTrtdde8yQ3awvnZHgfuhunAuQZEr0pxzlrH7NeV6MIoITJABgDDkkhnIYwssKnYUBx7/K7WGO1xD0MEKSIxkTFo8Mfaaz68JYREqPB5FE0PFsaK18MDasXDBeTQxMmVvD8DNKGFwiSgTeuTZs23juRpWF4CVNilAhH8Cy8HKyQ7rzzzlzokBUm+IAF38bfrHTw6tEnMAMb7QFEqWME8Ujy7doDJwQQA8c1kJgbbrihQlhYrkHQuY4GAcTtjVcPI8p3E2bBI0Rj1YVigFQxQfE2QBgxbNobqbFhdYm3gPAJExVDRZgRz5V4bCFvjAW/RxYYZ1aLrMTw0OJ9Ey8DCljkBDzBCAMbhrx5zje+8Y1KXin6lmT4JRzF99P4TghpGDZFUSJjYegqKwFMw5FFgfYA8t3IHj9HeeFVwjuKJxBDh6eHnzFOEEuIMosUweXiiy/2ninCN6GhZfHFddtss43761//6skD8ooBEk9xiElM7pEtPIMoY2mMSdq7w+fgnSWcw1jjueK7UPp4BJF1ZAJZR0YhNzwfmUGO+RlzGLlClhhfxp5vYv4QIcBLGnq/SyGAMZ0SfhNjwfyDsNCK1SlJugpPL5hA1pB3CBCY4PEDF/TV559/7r7+9a/7ecTCTeRfUhnwliFb0pB9sOX36J2jjz7ae4iS5rBO88mnv3lHOC+RL+QEWWZhgz6BdIpHKSZv6HG8lXjGeSeeP7xBOAJYMIEJJJhFqtbfeL/wIoue17YDGUIe0DnoWYy/6GnpA88STMPFRRIBzCcn2kaMHDnSvwpCXsi78805mTvodOa2tpXoFJwMggljTfQAWeJ7mdPY2li0hGvBDN0uXm5sDQsNiDiLC8YVzynjI60YTGLOImwI+oEoTL7Fnrw7nJOhfOFNZGGBvoi1Uoh+Fs5QyDU1igASbkIIhg8f7sNZGDHc9DrPhAFl9cE1umEICJExMBg7VsPcTyNkgRLBcEnDLYxx5noaSgFhJv+Mxs9Z+eDaRiCSPGYobp6DEse4ohT5WT5hY3WK8cG1jEBh3Ail0gcmC0qL8JTGRL4FTHg+k47Jh9LG1c4KHMWE0ke5sRoCA1aK5DySx8C30AinECJi0vCtXA9p5TtltQ8JweCCCZOUBunEiBJ+wavEeBBSIUxAw+PGt6E4IbJMfiYgk4WcEshE2CCJkBVIBt8EUYMs8P0YGzDBSIEzihzlzdgMGzbMnXHGGZ4I0Ff6iHLhXVpOWNEy/vRLGmNE/h8yEyOmSYafvvBsPGI0Qlg8m2/TjTA5/eVa3bISwDQc8W4JAQQv0hBYYUPOyEVFfggz824WFqzuMZqME0SR/+M9HTNmjDciGBXGPOZpwYhiTMEKJc3zMQiE5GRFH2ISji8eFggIcoAhp/EN+d4dPof8Od651157+cURhANiiSGB9CMLeBX4G5Ioc5wFDLIBucIzKzm3jAXfRJoA12D45Jvk3aUQwFCnhN+DN5+xI4wKidKyWYhOSdJVkDy+DcO9cOFCr1P4HtF74IGOgGBwHfOaOUWDJCIrLGTEU0MoDBx5H0QZUnDRRRf569PmMGSc76Ql6e+0eYnXEoJC+gIEjrHHW8mYowuSGvoNWUDWII6MPVgLJnxXqL+xI+AiZEfbDnQh308/wBACKHpa+qAxRafplkQMkuQkZiMk5xH9Usi70+Yc3wqZ42+cHaGtZI5hPwQTFl+MKd4/sMSOYYNiBBBvHPMWL7cs0OUbWDgzPuhu7kX2JF+vGEywF9hBQv3oG3Ku8U4ix8h4OB4xuUmak3ItEQQWm+gWiH6sGQFMnJLlv4iBhJcIgsHfTC4mMAoDAyP5SkmPxjUOEUApQNpw5WMIaUxiyI8mAHjbWP1B3GIN4URoZHNDjACy6qZfrJZY0SAcvJv8AxJa0xoKE68RRAzBRUFCWoUACnkQTFC0uM6ZiJAOCCB9kjysfKFZ8hVYbbG6TWoQUcZFNjNkGEY/yfAe8LfkqEAWmMwQcRoGAyICWcGTGTZwRrEyPpLjwjWQacI2mgDyLN7F2DHW9FeUMoQU7yuKSTfGnwUDBJkGbmzEwIAlJQhnMfw8i7FAtsL8JAwTfWTMdMtKAMEhCUcIfpg+oTHhfcgj5B9MmBv0D6NBg/RC/CEdjBkKmhYjgNzDHIEgiXcMYo9iR97zNcYW2eYPCxdpeLF5dtq7w2eDNblKjC+eGhpklsUInko8VSw8kAHkTwggnj/kD+WO14+FBthAaPJ9UxY5KEbh40VnoYOewsBKK0anJOkq5I88YMmBE9IiBJAwHN42xpFFNh51iVxA8iFL3At2NLw5YMkijEUhXjg8gOietDkM4c6XapN1Xko/kFsWLUQZYg39yu/xPqJXsA2Qe4gkzgW+CzIZ6m/Cwsi6JoBJtgNZCxd5GtMwR7FQOYnZCHQWLbbATHs39yTNOfSMjDWLq/B7mXPMPTBhMQepQodImk3SHGHMWfBBELX9Rh9jMyDL0pgHhJmZo2ktDROcKcgtzgyJUEm0gwVQUh6qvC9pTur+QH5ZyCLvsQ1tXFvoOOfToaX8vsZ4ABk8VvQYNgRMGgLECh+PUNaGRwPywaRHwWcJAYfPxmOCQZFdlggUCpDnMSFY8aA0MY54UqShWAgnZV1xcJ/cw791CBjjKJjgCZTQAsYOxa7DVaxw6SuGTVbo+psgvGCpk1nDb4Zcgp3eEZcPc3DBw8akwwvFypCEa1bXErbnGYSFUQK8I2x8G0aCEKU2hnhkCFWCiYSA8WrgvaJhwFmxE9pGPhgfngUxlIbS0iFgSDDkj0ksBDX2jVkMP/dVVQg4DUdWzCEBlG+AHJHfiqKEQIMJ4V1ywaQhA5Ag8YTJz7WM40Fj0QFxY7GBvEkj/QAZRM6SlCDXMgcgOYw95FI88vwOzxJEIu3d4biwuqdPEFohJVzDt+BVgAQjQ8gFRicpBMxGGoyBzkdM+qYsclCowofkgQvzMZwPxeiUJF0FNiz8IEkSMswSAuYeiB0L8Fg1ARkX+s9YIHNpcxj9BjlJa1nnpTyDSBF2Qeeq6eeTR87vdMoBZA05JOcRMhTDmvw/yIhUQ0izHZsqBJxPx/L70K4UEwJOmnM8H1uDvo19rw4Bgx8LDj2XsT38H8+YpFCRNw/e2EZtz3kXuLH41AtCnB84CIjuZW1JthZdB+HD44ce47twtug+h+9Im5NaR0G8sR+k9yS1QvVB1u8t5roaQwBZjUF2cO2TVyYNjxErsqR4ewwUyAiGAkPHag9iAhnk2dJ4BxMiaWUqZSPkelYnPJNVCytlDAg7vXg+wi6NFQykBEGWFVK+gYMsSdhVNoHg+SL0IZjglcOQ83z6QQhSdp3yfCYb4TqEXefryLvZhUqOV5iEr/sGkYJgSUJ6vn7zezxMhEQkUZxxBBtyb2QTCBMSg43HIIl0gRm46k0g5P9hiMBENoFAUMX1Lgn9eI0xCGx2YJWPYRB3P2NDmIIwAKtWJi8bSVBqaS2L4ed+2QRC6ISwNI1/42kqZRNIGo58SxIBJHSCFxrDd8ABB3iliodZcibpHwQZ0sB8QGlLgzSBDTKOVxWizb140pAbUaCE4LgOgpfUkH/GDE8jYxbm1oEbhiPt3eGzCbOzkQUySogSwsq4422HiDMHMCT0GQPA/CcsTpgJry9yATHm2/g58pPvm7LIQSEKHy8DCyRkksVN2IrRKVpXgQnhNOYwso93jvmIXkCnoD/4dsaERYbkfjI/8QIRPkO2wCstvEq/md+8W/Kxk+YwqS3asx9+s3jks8xL7uUbmWvondgGLq5hhzIEgbnI9ZBaiB/jDxmlrzGs0VvkqkEI8CSn2Q7IEphyrTQ8iKKnw+8sRE7Ce8VGSD62jGfWd4uukjknc4fFJN8AHsz32PfqTSDcH3r+iTZAppl/zE9sKjaKv3X+p3wTqVgsHPQmEKJojJX2CuazPyEmsetZwDLf0+Qv35yU50oUMMyJ3ZTjnO+bC/19tSKArPgxRDTyfwglYSTw0DCZUFaEtzBirBIgFUworpNagGEOCZ4tPBQoAzxReAEQJp4lCbMIFQSL1TYrYAwdniZdBiZfvk4sBMxqCAPECltCwChfjArCTAvzozC6GCfCxHgi6C+hajZRYJj5VlYZkDG+mT5iTLmH9+DtiGGicwBx4YMJGNMXJjhGEQUryb3kCmLcyH9j9Q5WrAJldUzfwxxAlD144/2hxhjKB0WLgocgi5EHA3JrUM6MI+FC+gAhEu8dZBV3utRiBCeUDwoYhYPy4D48WCInhMORCRQNxIVvRhmhzCAa5FFCbEhkRp5QMrwTJYSyZyVK7horfGl4sCQvERxEofKNhEb4wziRPxcbT37GYgIyJPlTkFy+W8rAcA3P5fkQVBYjsoKUXdqxfEuNI3hDoPl+vJpgwthCciC1GHN2tRLCQ+lBzMGEFbjIGgQbOSInCo9quKiKhYDBkLxKQtcYUXIAUe5giCc8homEfRkDQu+a/CWV7oi9O5ZbyFiiQ1j8MB+QVxQ8xgCZhzjjgYcgIvMsfPhOxoTFJP+HBLD5CznimyCIEFzC9XxTFjnIp8vAJdQpEmIifK3L4YAPpIxWjE7RRoGcRjAn6R3Zl/JMyAxhNzBgfMAErJiDeM+RCRYtpLyIfkSuGWuegb7gfmQIfNBjkBAIt+R16jksebzIMLpTogGh/uZ3+eYl0Rb6BiGlz4w7C0WInCy6QqwhwEQc2ExA+gMLaAgd+gLPJjqLn7EQ5HmElFmUcD2ywTXoZGSF+YXtwI7wfnQyf6QMDJhiByDXbNTTZWCKkZPQRqA7sBE4LGQ3q5SBSXt3mk1DTsQrLzZZSCLeOb4XUoge5znoYcGEeS06kxQanQPIt/MzFol4WaXpUmHYCp7NuLKYl3ItzGmpyxr2PQsmLBBl85zoSHLTsbGyiTHUKVnmpHwDJBf9h2MmbFnGuVDytimur1YEMKn4MKthhJHJJjXL8ERhRFHckBYJxYa7yFjlspJm8CEC3EPcn3t0kVAEGdKHopdC0FpA8+06StoEQsgAo8uEZIKyuodoyaaJcIckhhojw6QmhEbB6JjbG0KJp0cXgub6JEz0LmAIIH1AkWFcIJQoYtkAgmCBGROOdzM5IYJgr4v7hruAIQM8gz4h8JAwlDdhN725A48fz0JJQ1AIAWJA9GYLxhMCx3hKgzBikOi3DlnK73k3GHOdhLLxsmLICflA5iBBKDeMGu9AIWNsUZSxYp6QJfFgJBXQ1tfEdrwiq2EhaBSYLhiOApId53piy27i2I5rjSOkMRa+h1BzHbLBs/iD7KGEBRMMPkQHgwcmKFlC4OGGnKRyGxg25hOeDZ6N5ydtF3BS4V6+W743VG6xd8ewxgDTF7zZ4c5reSZEGYKDMWAMmDMYOV0IGm+gfBNeDRaIsgs4ixzk02X0JdQp/F922ervp3+6+kChOkU/K1YYnN8z1wjn8s3MX3QjRp0/Ugg6qVgz94Ifuhbc0Bcs4FhMsWjTTeYw1+EN4nt1DddQfycV2dVzTsYb+wAZZWELlmzqkBbT35BZ9BxVBWKN72Jeob+xH2ziCxvXsADEdnANpJCfie1gQUb/pBA080IXgi5GTkIbgZ7lfSxQtE7J9+40m5YmJ/K9kB0poK1x0XobR4veBRw7KIB7xcbLc/A0YyN4B3JJWDltF3AWTCDweBch/CwGWYRIEXR5b6hTss5J0kqIKkFsdT/luVnGeVMQukKfUa0IYKGdt+sNAUPAEDAEDAFDwBAwBApHwAhg4ZjZHYaAIWAIGAKGgCFgCNRoBIwA1ujhs84bAoaAIWAIGAKGgCFQOAJGAAvHzO4wBAwBQ8AQMAQMAUOgRiNgBLBGD5913hAwBAwBQ8AQMAQMgcIRMAJYOGZ2hyFgCBgChoAhYAgYAjUaASOANXr4rPOGgCFgCBgChoAhYAgUjoARwMIxszsMAUPAEDAEDAFDwBCo0QgYAazRw2edNwQMgWIQSCrcXsyz7B5DwBAwBGoiAkYAa+KoWZ8NAUOgIAQ4gYBj9ThxhsZxZZzQwrGASaceFPQCu9gQMAQMgRqGgBHAGjZg1l1DwBAoHIGQABb+BLvDEDAEDIGvFgJGAL9a42lfYwgYAgECsfNkOa+UM6I5FJ7zU+Ws4ZEjR7qePXs6zrXm3GvOh+accM6z5rxPzpvGi8gZ2uJJ5BzYUaNG+bOH27Vr588XhXBaMwQMAUOgOiNgBLA6j471zRAwBEpGAOLWo0cPT8769Onjnzdt2jR31FFHVSCAl156qSduELhly5a5U0891XXs2NETRAjg7Nmz3WmnneaGDx/uzjrrLP+cc845x82ZM8cNHDjQNWvWzI0dO9ZBCKdMmeL22WefkvtuDzAEDAFDoKoQMAJYVcjacw0BQ6DaIBCGgMNNIHgA8QjOnDnTtWrVyvf7sssucyNGjHALFy50jRo18j/r3r2722OPPdzQoUPdrFmzPMmbO3euJ3/SIJaHHnqo69+/f7X5fuuIIWAIGAIhAkYATSYMAUPgK49AFgJ4xRVXuBUrVuSwwOtH+BdvobTzzz/fewcfffRRN2bMGHfmmWe6hg0bVsBv9erV3ns4evTorzyu9oGGgCFQcxEwAlhzx856bggYAhkRyEIAr776ap/HJ61Xr17usccec5MmTcr9jHxCruHnEDxCwBBEyQmUC/EY7rLLLhl7Z5cZAoaAIfDlI2AE8MvH3N5oCBgCXzICxxxzjGvdurW76667/JtjIeBCCeA777zjnzlu3DjXtWvXL/mL7HWGgCFgCJSGgBHA0vCzuw0BQ6AGIMAGDzx5Dz/8sM/nmzx5suvWrVulXcCFeAD5bHYFjx8/3g0ePNh16NDBLVq0yD333HOuffv2fhexNUPAEDAEqisCRgCr68hYvwwBQ2CTIYC3jvy9N998061cudIllYEplACuXbvW9e3b1+8MnjdvnmvatKnr3Lmz6927tyeB1gwBQ8AQqK4IGAGsriNj/TIEDAFDwBAwBAwBQ6CKEDACWEXA2mMNAUPAEDAEDAFDwBCorggYAayuI2P9MgQMAUPAEDAEDAFDoIoQMAJYRcDaYw0BQ8AQMAQMAUPAEKiuCBgBrK4jY/0yBAwBQ8AQMAQMAUOgihAwAlhFwNpjDQFDwBAwBAwBQ8AQqK4IGAGsriNj/TIEDAFDwBAwBAwBQ6CKEDACWEXA2mMNAUPAEDAEDAFDwBCorggYAayuI2P9MgQMAUPAEDAEDAFDoIoQMAJYRcDaYw0BQ8AQMAQMAUPAEKiuCBgBrK4jY/0yBAwBQ8AQMAQMAUOgihAwAlhFwNpjDQFDwBAwBAwBQ8AQqK4IGAGsriNj/TIEDAFDwBAwBAwBQ6CKEPg/iiTQpOrRR60AAAAASUVORK5CYII=\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = btOff.plot(kind='line', x='time', y='csqenc')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bluetooth On, Housing Closed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "btOn = pd.read_csv('Output-Debug_BluetoothOn_HousingClosed.tsv', \n",
    "                    delimiter='\\t', usecols=[2,39],\n",
    "                    header=None, names=['time','csq'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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>time</th>\n",
       "      <th>csq</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>21:37:03.105</td>\n",
       "      <td>+CSQ:0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>21:37:23.873</td>\n",
       "      <td>+CSQ:1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21:37:36.819</td>\n",
       "      <td>+CSQ:0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>21:37:51.024</td>\n",
       "      <td>+CSQ:0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>21:38:03.971</td>\n",
       "      <td>+CSQ:0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           time       csq\n",
       "0  21:37:03.105  +CSQ:0  \n",
       "1  21:37:23.873  +CSQ:1  \n",
       "2  21:37:36.819  +CSQ:0  \n",
       "3  21:37:51.024  +CSQ:0  \n",
       "4  21:38:03.971  +CSQ:0  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "btOn.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "csq = btOn['csq']\n",
    "csq_enc, csq_cat = csq.factorize(sort=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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>time</th>\n",
       "      <th>csq</th>\n",
       "      <th>csqenc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>21:37:03.105</td>\n",
       "      <td>+CSQ:0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>21:37:23.873</td>\n",
       "      <td>+CSQ:1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21:37:36.819</td>\n",
       "      <td>+CSQ:0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>21:37:51.024</td>\n",
       "      <td>+CSQ:0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>21:38:03.971</td>\n",
       "      <td>+CSQ:0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           time       csq  csqenc\n",
       "0  21:37:03.105  +CSQ:0         0\n",
       "1  21:37:23.873  +CSQ:1         1\n",
       "2  21:37:36.819  +CSQ:0         0\n",
       "3  21:37:51.024  +CSQ:0         0\n",
       "4  21:38:03.971  +CSQ:0         0"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "btOn = btOn.assign(csqenc=pd.Series(csq_enc))\n",
    "btOn.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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": [
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     "output_type": "display_data"
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\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins = np.arange(7)-0.5\n",
    "ax = btOn.hist(column='csqenc', bins=bins, align='mid', figsize=(10,10),\n",
    "               edgecolor='black',linewidth=1)\n",
    "plt.title(\"Bluetooth On Housing Closed\")\n",
    "plt.xlabel(\"CSQ Values\")\n",
    "plt.ylabel(\"Occurrences\")\n",
    "date_str = f\"Test Start: {btOn.time[0]}\\nTest End: {btOn.time.iloc[-1]} \"\n",
    "plt.text(3,200,date_str);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'23:21:32.688'"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "btOn.time.iloc[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "btOn.plot(kind='line', y='csqenc');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "btOff.plot(kind='line',x='time',y='csqenc');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bluetooth Off, Housing Open"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "btOffHOpen = pd.read_csv('Output-Debug_BluetoothOff_HousingOpen.tsv', \n",
    "                    delimiter='\\t', usecols=[2,39],\n",
    "                    header=None, names=['time','csq'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 408 entries, 0 to 407\n",
      "Data columns (total 2 columns):\n",
      "time    408 non-null object\n",
      "csq     408 non-null object\n",
      "dtypes: object(2)\n",
      "memory usage: 3.2+ KB\n"
     ]
    }
   ],
   "source": [
    "btOffHOpen.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "csq = btOffHOpen['csq']\n",
    "csq_enc, csq_cat = csq.factorize(sort=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "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>time</th>\n",
       "      <th>csq</th>\n",
       "      <th>csqenc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>17:05:42.632</td>\n",
       "      <td>+CSQ:4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>17:05:59.894</td>\n",
       "      <td>+CSQ:0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>17:06:10.594</td>\n",
       "      <td>+CSQ:0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>17:06:24.410</td>\n",
       "      <td>+CSQ:0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>17:06:45.206</td>\n",
       "      <td>+CSQ:5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           time       csq  csqenc\n",
       "0  17:05:42.632  +CSQ:4         4\n",
       "1  17:05:59.894  +CSQ:0         0\n",
       "2  17:06:10.594  +CSQ:0         0\n",
       "3  17:06:24.410  +CSQ:0         0\n",
       "4  17:06:45.206  +CSQ:5         5"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "btOffHOpen = btOffHOpen.assign(csqenc=pd.Series(csq_enc))\n",
    "btOffHOpen.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bins = np.arange(7)-0.5\n",
    "ax = btOffHOpen.hist(column='csqenc', bins=bins, align='mid',  figsize=(10,10),\n",
    "               edgecolor='black',linewidth=1)\n",
    "plt.title(\"Bluetooth Off Housing Open\")\n",
    "plt.xlabel(\"CSQ Values\")\n",
    "plt.ylabel(\"Occurrences\")\n",
    "date_str = f\"Test Start: {btOffHOpen.time[0]}\\nTest End: {btOffHOpen.time.iloc[-1]}\\nTest Count: {len(btOffHOpen)} \"\n",
    "plt.text(2,140,date_str);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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"
    },
    {
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\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "btOffHOpen.plot(kind='line', x='time',y='csqenc', figsize=(10,10));"
   ]
  }
 ],
 "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": "3.6.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
