{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Calibration of a detector on a translation table\n",
    "\n",
    "The aim of this document is to explain how to use pyFAI.goniometer for calibrating the position detector from the translation table encoders.\n",
    "\n",
    "Those data have been acquired at ESRF-ID29 in summer 2013 on a Pilatus 6M using Ceria (CeO2) as calibrant.\n",
    "Seven images have been acquired with the detector moved between 15 cm and 45 cm from the sample position.\n",
    "A prior calibration has been performed using the *MX-calibrate* script from the pyFAI suite. \n",
    "The control points extracted during this initial calibration have been used as a starting point for this calibration.\n",
    "\n",
    "The raw data files are available at:\n",
    "http://www.silx.org/pub/pyFAI/gonio/MX-ceria/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "# Initialization of the plotting library for use in the Jupyter notebook\n",
    "\n",
    "%pylab nbagg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PyFAI version: 0.18.0\n"
     ]
    }
   ],
   "source": [
    "# Loading of a few libraries\n",
    "\n",
    "import time\n",
    "start_time =time.time()\n",
    "import os\n",
    "import fabio\n",
    "import pyFAI\n",
    "from  pyFAI.goniometer import GeometryTransformation, GoniometerRefinement, Goniometer\n",
    "from pyFAI.gui import jupyter\n",
    "\n",
    "print(\"PyFAI version:\", pyFAI.version)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MX_ceria\n",
      "ceria_300_1_0001.npt\n",
      "ceria_150_1_0001.cbf\n",
      "ceria_200_1_0001.npt\n",
      "ceria_250_1_0001.cbf\n",
      "ceria_250_1_0001.npt\n",
      "ceria_400_1_0001.cbf\n",
      "ceria_400_1_0001.npt\n",
      "ceria_450_1_0001.cbf\n",
      "ceria_150_1_0001.poni\n",
      "ceria_150_1_0001.npt\n",
      "ceria_200_1_0001.poni\n",
      "ceria_350_1_0001.poni\n",
      "ceria_300_1_0001.cbf\n",
      "ceria_450_1_0001.npt\n",
      "ceria_250_1_0001.poni\n",
      "ceria_350_1_0001.cbf\n",
      "ceria_350_1_0001.npt\n",
      "ceria_400_1_0001.poni\n",
      "ceria_450_1_0001.poni\n",
      "ceria_200_1_0001.cbf\n",
      "ceria_300_1_0001.poni\n"
     ]
    }
   ],
   "source": [
    "#Download all images\n",
    "#Nota: comment-out to configure a proxy if you are behind a firewall\n",
    "#os.environ[\"http_proxy\"] = \"http://proxy.company.com:3128\"\n",
    "from silx.resources import ExternalResources\n",
    "downloader = ExternalResources(\"pyFAI\", \"http://www.silx.org/pub/pyFAI/testimages\", \"PYFAI_DATA\")\n",
    "all_files = downloader.getdir(\"MX_ceria.tar.bz2\")\n",
    "print(os.linesep.join(os.path.basename(i) for i in all_files))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "List of images: /tmp/pyFAI_testdata_kieffer/MX_ceria/ceria_150_1_0001.cbf, /tmp/pyFAI_testdata_kieffer/MX_ceria/ceria_200_1_0001.cbf, /tmp/pyFAI_testdata_kieffer/MX_ceria/ceria_250_1_0001.cbf, /tmp/pyFAI_testdata_kieffer/MX_ceria/ceria_300_1_0001.cbf, /tmp/pyFAI_testdata_kieffer/MX_ceria/ceria_350_1_0001.cbf, /tmp/pyFAI_testdata_kieffer/MX_ceria/ceria_400_1_0001.cbf, /tmp/pyFAI_testdata_kieffer/MX_ceria/ceria_450_1_0001.cbf.\n",
      "\n",
      "Image headers:\n",
      "_array_data.header_contents: # Detector: PILATUS 6M, S/N 60-0104, ESRF ID29\r\n",
      "# 2013/Aug/29 17:26:59.699\r\n",
      "# Pixel_size 172e-6 m x 172e-6 m\r\n",
      "# Silicon sensor, thickness 0.000320 m\r\n",
      "# Start_angle 0.000000 deg.\r\n",
      "# Exposure_time 0.037000 s\r\n",
      "# Exposure_period 0.040000 s\r\n",
      "# Tau = 0 s\r\n",
      "# Count_cutoff 1048500\r\n",
      "# Threshold_setting 7612 eV\r\n",
      "# N_excluded_pixels = 321\r\n",
      "# Excluded_pixels:  badpix_mask.tif\r\n",
      "# Flat_field:  (nil)\r\n",
      "# Trim_directory: (nil)\r\n",
      "# Wavelength 0.972386 A\r\n",
      "# Detector_distance 0.150000 m\r\n",
      "# Energy_range (0, 0) eV\r\n",
      "# Detector_Voffset 0.0000 m\r\n",
      "# Beam_xy (1230.90, 1254.09) pixels\r\n",
      "# Flux 2.823146e+11 ph/s\r\n",
      "# Transmission 20.1173\r\n",
      "# Angle_increment 1.0000 deg.\r\n",
      "# Detector_2theta 0.0000 deg.\r\n",
      "# Polarization 0.99\r\n",
      "# Alpha 0.0000 deg.\r\n",
      "# Kappa 0.0020 deg.\r\n",
      "# Phi 0.0000 deg.\r\n",
      "# Chi 0.0000 deg.\r\n",
      "# Oscillation_axis omega\r\n",
      "# N_oscillations 1\r\n",
      "# file_comments\n",
      "Content-Type: application/octet-stream;\n",
      "conversions: x-CBF_BYTE_OFFSET\n",
      "Content-Transfer-Encoding: BINARY\n",
      "X-Binary-Size: 6262451\n",
      "X-Binary-ID: 0\n",
      "X-Binary-Element-Type: signed 32-bit integer\n",
      "X-Binary-Element-Byte-Order: LITTLE_ENDIAN\n",
      "Content-MD5: BIfsFrKJBFklJn97/hjO/A==\n",
      "X-Binary-Number-of-Elements: 6224001\n",
      "X-Binary-Size-Fastest-Dimension: 2463\n",
      "X-Binary-Size-Second-Dimension: 2527\n",
      "X-Binary-Size-Padding: 128\n"
     ]
    },
    {
     "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"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f8b58e78a20>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Loading of the list of files, and display of the first one with its headers\n",
    "\n",
    "image_files = [i for i in all_files if i.endswith(\".cbf\")]\n",
    "image_files.sort()\n",
    "print(\"List of images: \" + \", \".join(image_files) + \".\" + os.linesep)\n",
    "fimg = fabio.open(image_files[0])\n",
    "\n",
    "print(\"Image headers:\")\n",
    "for key, value in  fimg.header.items():\n",
    "    print(\"%s: %s\"%(key,value))\n",
    "    \n",
    "jupyter.display(fimg.data, label=os.path.basename(fimg.filename))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Distance: 0.15\n"
     ]
    }
   ],
   "source": [
    "# Definition of the geometry translation function:\n",
    "\n",
    "geotrans = GeometryTransformation(param_names = [\"dist_offset\", \"dist_scale\", \n",
    "                                                 \"poni1\", \"poni2\", \"rot1\",\"rot2\"],\n",
    "                                  dist_expr=\"pos * dist_scale + dist_offset\", \n",
    "                                  poni1_expr=\"poni1\",\n",
    "                                  poni2_expr=\"poni2\", \n",
    "                                  rot1_expr=\"rot1\", \n",
    "                                  rot2_expr=\"rot2\", \n",
    "                                  rot3_expr=\"0.0\")\n",
    "\n",
    "\n",
    "# Definition of the function reading the detector position from the header of the image.\n",
    "\n",
    "def get_distance(header):\n",
    "    \"\"\"Takes the header of the CBF-file and returns the distance of the detector\"\"\"\n",
    "    dist = 0\n",
    "    for line in header.get(\"_array_data.header_contents\",\"\").split(\"\\n\"):\n",
    "        words = line.split()\n",
    "        if words[1] == \"Detector_distance\":\n",
    "            dist = float(words[2])\n",
    "            break\n",
    "    return dist\n",
    "\n",
    "print(\"Distance:\",get_distance(fimg.header))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wavelength: 9.72386e-11\n",
      "CeO2 Calibrant with 41 reflections at wavelength 9.72386e-11\n"
     ]
    }
   ],
   "source": [
    "# Definition of the detector, the calibrant and extraction of the wavelength used from the headers\n",
    "\n",
    "pilatus = pyFAI.detector_factory(\"Pilatus6M\")\n",
    "CeO2 = pyFAI.calibrant.get_calibrant(\"CeO2\")\n",
    "for line in fimg.header.get(\"_array_data.header_contents\",\"\").split(\"\\n\"):\n",
    "    words = line.split()\n",
    "    if words[1] == \"Wavelength\":\n",
    "        wavelength = float(words[2])*1e-10\n",
    "        break\n",
    "print(\"Wavelength:\", wavelength)\n",
    "CeO2.wavelength = wavelength\n",
    "print(CeO2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Empty refinement object:\n",
      "GoniometerRefinement with 0 geometries labeled: .\n"
     ]
    }
   ],
   "source": [
    "# Definition of the geometry refinement: the parameter order is the same as the param_names\n",
    "\n",
    "param = {\"dist_offset\":0, \n",
    "         \"dist_scale\":1,\n",
    "         \"poni1\":0.2, \n",
    "         \"poni2\":0.2, \n",
    "         \"rot1\":0,\n",
    "         \"rot2\":0}\n",
    "\n",
    "gonioref = GoniometerRefinement(param, #initial guess\n",
    "                                pos_function=get_distance,\n",
    "                                trans_function=geotrans,\n",
    "                                detector=pilatus,\n",
    "                                wavelength=wavelength)\n",
    "print(\"Empty refinement object:\")\n",
    "print(gonioref)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['/tmp/pyFAI_testdata_kieffer/MX_ceria/ceria_150_1_0001.poni', '/tmp/pyFAI_testdata_kieffer/MX_ceria/ceria_200_1_0001.poni', '/tmp/pyFAI_testdata_kieffer/MX_ceria/ceria_250_1_0001.poni', '/tmp/pyFAI_testdata_kieffer/MX_ceria/ceria_300_1_0001.poni', '/tmp/pyFAI_testdata_kieffer/MX_ceria/ceria_350_1_0001.poni', '/tmp/pyFAI_testdata_kieffer/MX_ceria/ceria_400_1_0001.poni', '/tmp/pyFAI_testdata_kieffer/MX_ceria/ceria_450_1_0001.poni']\n",
      "Filled refinement object:\n",
      "GoniometerRefinement with 7 geometries labeled: ceria_150_1_0001, ceria_200_1_0001, ceria_250_1_0001, ceria_300_1_0001, ceria_350_1_0001, ceria_400_1_0001, ceria_450_1_0001.\n",
      "\n",
      "\tLabel \t Distance\n",
      "ceria_150_1_0001 0.15\n",
      "ceria_200_1_0001 0.2\n",
      "ceria_250_1_0001 0.25\n",
      "ceria_300_1_0001 0.3\n",
      "ceria_350_1_0001 0.35\n",
      "ceria_400_1_0001 0.4\n",
      "ceria_450_1_0001 0.45\n"
     ]
    }
   ],
   "source": [
    "# Let's populate the goniometer refinement object with all control point files:\n",
    "\n",
    "ponis = [i for i in all_files if i.endswith(\".poni\")]\n",
    "ponis.sort()\n",
    "print(ponis)\n",
    "for fn in ponis:\n",
    "    base = os.path.splitext(fn)[0]\n",
    "    fimg = fabio.open(base + \".cbf\")\n",
    "    gonioref.new_geometry(os.path.basename(base), image=fimg.data, metadata=fimg.header, control_points=base+\".npt\",\n",
    "                          geometry=fn, calibrant=CeO2)\n",
    "\n",
    "print(\"Filled refinement object:\")\n",
    "print(gonioref)\n",
    "print(os.linesep+\"\\tLabel \\t Distance\")\n",
    "for k, v in gonioref.single_geometries.items():\n",
    "    print(k,v.get_position())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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"
    },
    {
     "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": {
      "text/html": [
       "<img 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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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"
    },
    {
     "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"
    },
    {
     "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": {
      "text/html": [
       "<img 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bRURDJABQHQY6KNKEARBBDvUVhHBABkARIeBPqoEQRBEsENtFREMkAFAdBjoo0oQBEEEO9RWEcEAGQBEh4E+qgRBEESwQ20VEQyQAUB0GOijShAEQQQ71FYRwQAZAESHgT6qBEEQRLBDbRURDJABQHQY6KNKEARBBDvUVhHBABkARIeBPqoEQRBEsENtFREMkAFAdBjoo0oQBEEEO9RWEcEAGQBEh4E+qgRBEESwQ20VEQyQAUB0GOijShAEQQQ71FYRwQAZAESHgT6qBEF0FM6cOoUjr7+Oz9esxedr1uDIa6/jzKlT3/dtEe0AtVVEMEAGANFhoI9q+9Laehofv/MV9v3tM3z8zldobT19wa515tQpfLPjDXz9/PP4ZscbJHSITsuZU6fw+er7sSc/H7vT0jXbnvwCfLZ6Nb0fP3CorSKCATIAiA4DfVTbh9bW0/jLtv9gw4I/Yk3TS8q28YY/4i/b/tOuhsDpo0fx8Y034p3+AzRCZ++Qofh87VoSOkSn4sypU/iwvkEn/Nntw/oGejd+wFBbRQQDZAB0Yv7yl7+gubkZmZmZiIiIQN++fVFbW4u9e/dqjps5cyYkSdJtaWlpujRPnz6NO++8E6mpqQgPD0dOTg6eeOIJ7vV3796N0aNHIzIyEj179sS0adPw+eefn3d+6KP63WltPY3f3v+2RvivaXoJaxpfxMNX/hZrml7Cb9e8/Z2NALmXc3d2Dl/k+NPwrt+DjxqbSOgQnYbP167VvAfv+j3Y7U/jviNfPPBA+9/A4UPtnyahg9oqIhggA6ATU11djcTERMydOxfr16/Hj3/8YyQkJCAyMhL/+te/lONmzpyJ8PBwbN68WbM988wzujQXL14MSZLQ0NCAdevWYcyYMZAkCU8++aTmuP379yM2NhYejwerVq3Cbbfdhp49eyIvLw8nT548r/xciI+q0z76vLcyWyNmx85Dma1R+fu7psf72yzdasdc07SHRzRhqLseC0dt1In/J6aux38LMvBucZmyb9LgZcK0wkKSufvlsnDbK/DLlGKh8P/Ym4QTrjCccIVhtz8Nq3uP0aQhKpMyW6Pmb16+eWUlKj85PfVmdo7V58d7dmEhycJrWHnW7G9y/s3yHEjageRb9GyM/hVdR84L+/zVda3aMddy+bDXYq8rX0d0P7w6of7NyjvHpltuq8fr3kzs8p97F+T34BNvksYQ2OVPx2veDLjtFZr7qHbMVTbeOyP/n/eOTuvRhK/dkXixdyZyo4ZbrmdGx4m+Wedz3PluZmnx6oHombcXZAAQwQAZAJ2Y119/XSe23333XYSHh2Pq1KnKvpkzZyIyMtI0vY8//hihoaFobm5W9p05cwYlJSXo06cPWltblf1z5syBzWbDhx9+qOx78cUXIUkSHn744fPKz4U0AAJpoHgNiZEIE6UlEhG89HjiR9Sgqfe7oioxefAy3DnjGZ3wf7D+d3hzxFS0ersBHgnwSHim+nbc37gdd8x4Gq6oSu41ZSEryvOdCaO5wv8TbxJOukKBVEnZPvQm48/eHLjtFcI8smVoVvZqYWwm7ETniq5vVWzwrq8WZer9agEXSD00EsSsSOTVNSMRa1ZnzYwltWC1Ur/VhjRb1+T/y/mVDW/2XtjyYJ8Z73izOiYybESGY3PCPCVt9rk2RE/UvBP7vcmad+GkK1RnCDRET7RUP9V5V5ebetuYlKK858c83dHcKxfOswaGK6oSQ931aMpcgaHuegyPaDKs50Z15HyMNKPjAzGKz8eAVZ/TXpABQAQDZAAQOgoKClBQUKD8LRsAra2t+Prrr4XnrV27FpIkYdeuXZr9TzzxBCRJwh//+EdlX3x8PGpra3Vp+P1+jBgx4rzu+2KNAFhpRL7rMWa9ld/FIJH3uaIqce3YdVjT9BLub9yu9fef9RS+yumrCAJ5+2hggXJMbeoS7rXYnmy1KCm31WOHN0fTy/mxtzdOuMI0YkfevnbbsTstHWNjSgMWArwyUd+LkXhgBRPPMDASW2bXMBKzvPREeZMFpfp+1OLeqEwCEUOiNNSimy1jnkhmy4UtZ5HRIhLhImPTzHALNJ9GaVnNL2t0sde5JqZKYwB87bZz34kTrjB87O2N3f401MWWGJYR77fZsfN07+i4iBk47Oqme9//lerC4gHLdR0Ed8x4GpMHL9N1AojeCV5Zid5PkVFlVOZm9fN8nzW7tRdkABDBABkAhIYzZ84gOTkZFRUVyr6ZM2eiS5cuiIiIgCRJ6NmzJ66++mocOXJEc259fT0iIyNx5swZzf59+/ZBkiSsXr0aQNtIgSRJuPPOO3XXnzZtGmJiYs7r3oNhBCBQUdWejRPPaFALLfbYyYOX6X39FZ//7dg/IF8RAqe9XfHXEXV4qP5Z5Zgpacu5AkMWsm57BRqiJ+KW+IkYG1OKWkczxsaUKgLnA19fHHeFC0SOtrdTFjo8IR5IeRuJJbMeXitpsOew5xuJYZ4BwDuXJ7rNrhWIgGqPzch4Mip3o+egvm/5X7nMeAabUXnL/2dd9KyWB/s+sb35otEVdc8/Wy7qd0M9KnaCGRWTt+OucDzjLEWZrUHJh7yxIybsc+C5Tk2y1+GlPrE6I+BEWiReHHsD1qg6CeQOgyVjNsMVVcnND69uWjHuAnkOvPpiVH/OJ0311l6QAUAEA2QAEBo2b94MSZKwYcMGZd/ixYuxaNEibNmyBU8++aQyKXjIkCH49ttvlePGjBkDt9utS/Po0aOQJAmLFy8GALz55puQJAmPPfaY7tgbbrgBkiThxIkThvf52WefYefOnZpt69atF20OgFGDYrX30ayhE4kfVmgYCVfRNVxRlbhzxjO6nn/19tj0zTjl647/5afhySnrdL+LRgAiQpKxOGkQXvdmagTNn705+FmfEpWLQ2+u8P+YcXNgRwCsimpZbPHKwkgcsX7m5yNKRKMA6v+zojEsJNl03oKRgBJdjxWc8v2JXFzUx1gR7XJZs8er/25OMH8OvOuZuVyJ5puo78nsXQxEJIqMGbN3XlTG6t/d9grtHADdvBi+IXDQF4u7Emt1ZVhuq0dD9ERcE1OFsTGlcNsrlOvxyq3tvAos71mOQy6bzhB4v3AQNs7aovsONI64T3EJEpWhmUHGe9ZWnkUgx5ulYVYPymw0B4DoWJABQCjs2bMHDocDRUVFGn99Hrfddptucm95eTkyMjJ0x54+fRqSJGH+/PkAgFdffRWSJGHLli26Y2+55RZIkoSDBw8aXn/p0qXcyETftwuQUW+jmZAzS4sVlWbixEiEDHXXa3z9H535JNcI2FL3INY2vKDZJ5oDIIuYh/t4sTstHTsZIcMTNsdc3dv8m1ND8Ik3USf82yY7ZmrEi1n5ByrW2Qmf7GY2Z8BMVIieO/t81P7sovPNrik6l+0hF9UrszTNylxkWPHK1EgUi85Ti8Vqx1yEhSRrersDcSGy8u6ZzWngGVTnU5by/sVJg8ThP/1p+MSbiJOpIVxD4DfOkSizNaLcVs81wHd4M3BjUiHc9gpuXVPfS4FjBHYOLtUZAcfT7Hh+/BLNaADrEsSmFWj9svL+itLlGZCBGgpGz7G9IAOACAbIACAAAP/973/hdrvRt29ffPLJJ6bHHzt2DF27dsWVV16p7OtMIwDttQUistrjOvI2MqMFa5pewpNT1uFArgtf5HnwQMPvxS5BzCaKAsSb4PuO39fmzsMxBt73peC/3njs8fuFwmdR0iDT/FgxytieZytCURYQVlxmRCJb1OPNnsNzATKaiMq7dyuCm7efZyyw+0XCV1TOZgJfVIZG98umoZ4DIMqf0T2wxp2orpj16BvVHd4zFeW/LUJWkeEaAHv8fuxwJuOrvt0V8X/Y2R3XJzThr2Wj8bJvCN/gPrs9785CFGMAsPmQOwi2Vf0Y32TE6AyBt8su13UKrGl6CT+qeQolngauIXA+77CZIcjul6RuwnferO5ZuV57QQYAEQyQAUDg0KFD6NevH2JiYnQTeI2Ii4vD5ZdfrvxdX1+PiIiIDjkHwGojZkUg8I7hCQx1b6eV6/D8juXoHSMzWnCld7nSMJe4r8RrlzSh1RuqNOpvjphiKPrlRv7ases0vf9uewXGxpTi1vhavOHNwE65F9+fhk+9Cfg2tRuQKuF9Xwp3ZMBo2+TMR7mt3nIZixpu1ndcJPRE6fAEApsm+3/esxQJQqfdyC3Det0TGStWBL2onKyKYpGIMpqQbDSJWJR/9e9ymfHctth8G9Uh0fFGZSbfi+gdZ9PgGVu8Z+O2V+DGpEH4qy9D9z78zZeJxWd78TPsI/Bk/CB84+yGDXHDMDt2nvEIgmp73eOHzz5K+A5MSVuuvPfrZ/8f3hkyQmMAbK35qeG3gjciYOX9MqvforIN5L01e3+MvtntBRkARDBABkAn5/jx4ygpKUFERAT+9Kc/WT7v8OHD6NKlCxobz/WKrFmzhhsF6PHHH4ckSXj11VeVfXFxccIoQOXl5eeRk4s7CdiKkAiksTvfhlAkwkThPe+Y8TTmDLwO/+irj/Dzv/w0PNDwvGGjPknVqPvso7C5bzn+4tULlfd9KboJvsdc3XUuPiJj4B/+DEXoBFKmIsGnFqFGPfWiMrZyHCtSRSKPd90yGz80I0/wGOXZ7LqsuFbPkeCdY1QmVuuqkUA2elaiOQXqc3hRgIzyYkWs8+qJ0f2a5Vf0bRAZQGpDYHzMMCxOHITFiYPQFF2LWkezTvxeHjkNI21XotxWjze8uUrP/16/D9+4IhTDm93e8GbgR3GVGGmbrcuD2kVQ3p6bsBTH0h14u6zKdIRQ7iy4rfopeBxjDMvLrHzZOhDIBHbR82LfB7N6K2/tBRkARDBABkAnprW1FZdddhlCQkLw7LPPco85fvw4Dh8+rNsvu+r85je/Ufbt379fuA5AcnKyZl7BVVddBZvNho8++kjZt337dkiShAcffPC88vN9jACwv1vxGbYqIKyITt7vrqhKLBmzmRve87dVP8GxdIdG+J/2dMWbI6YKXYCuHn2/EvtbFiY/TajAP/x64b/X78Uht4Pro3zEFYl3/D7l2LV9C/Aa46f8hi8D9/bpj0mOObrykstXNIHVSNCxG29irJVyl+PLi9K3Ik7Y9OX02NCMgYpMnpgPNC02H1aONXsGVtKweo/stdRlxhOOZgJcnV/1+8uWgVHkJd61eM/nfIIBmBkp6v+zUYS+ckcr794htwPv+r1cQ2CnPx2PO/Pgs49S0qvpMQ/3zHiWGx74wfrnuN+JR674DXf/PbOf484P+K51lFdnv0vdsvJs2gsyAIhggAyATsz8+fMhSRLGjRunW+V38+bNAID3338f0dHRmDNnDlatWoVVq1bh0ksvhSRJuOSSS3D69GlNmrJh0NjYiPXr1ysrAT/++OOa4z766CP06tULHo8Hq1evxooVK9CzZ0/k5OSY+v+LuBjrAIh8hr9rwxZIeiIhIt8bL7znAw2/x9/LqnW9/gfTY/HrSSt1DT3r7iNfx22vwKPOfO4Exf9649Ga2pUbt/wjbx/dOWNjSlFuq8fYmFLUxZYof4uElJUG3IoR8F16Ds16DM3u28i1hl0ILFAD0IoQZns+2bpj5b7lv0WhJnnGmdGK2Fb+FglsI7cp+T7ZspTvhRcC1KzMeZN9RWVqZCyJ6qjIgGCjWfGeUV3suQhb7/lScYZ5D1tTu+K/3njuRPvdael43ZupMQIMwwQz27OXL8dJfwSeH3+TZddBs2fPe45mZW5UZ42MLKNjyAAgOipkAHRiSktLhZF0JKmtahw8eBDTpk2D1+tFREQEwsPDkZWVhRUrVuDUqVO6NE+fPo0VK1bA6XQiLCwMWVlZ+PnPf869/s6dO1FRUYGIiAhER0dj6tSp+N///nfe+bkQH9X27MVkzzNa4TVQ0SBvrqhK3M303P1sxs/xv/w0nfjfNWgYxtmvwKTBy3DHjKc1jfZd07dh0uBlSq+/fB2ej/F/fKlKNB9WcPzPE8d1+5FX9z2fBiV9GfoAACAASURBVDlQP3t1WfN6T60+N6tihb0fq8/QbAVlM1HDCiYr+TArA168e3YURJ0uz22HHbURlYH6HPY3+VzW1581AIxG4AJ53uoRASNxbvaOWn2frdyb0btQZmNGAPxp+J8njmuQH3N1x398qdzRgMedeUraRiOJ6u3RmU/geJpd+a7sLLlUOEowafAyy8+BV7+s1G+j9Hh11GpdKLPRJGCiY0EGANFhuFAjAFaFn5noMIpJLuq9Ek1uFDV2rO/utqofaxpneCSc8nXH9nFtC/sMddcrjX1t6hJMSVuO2tQlSlxv9XXc9grdKr4HPDG6nsY2l4MovOv3WI7sIzfMvLKRxaMVY8DqcaLnJDpOFAqUZ8Sp82JmAKj/VruzGNWN8xEuPBEk/y5a90AkoNhnxuZV1NsvKkOjd8bMWGEXtOKlbzSpWM6/kcgPxGgyCiEpqn9m+Ta7jvr9fMuXrXnP3vV7cMgdpXs/z6RKOODpqYm+tcvfZpzL7ndO+2gMj2jCpMHLcNf0bUID4P9Vtug6F77Ic2Pz9J/pRgLumr5N820xy6+ZsSV6b6287+fzjrUXZAAQwQAZAESH4fueA2DUyLONjpUGz0pPo9OujfTDDttvH3cD0zC78Pi0jcrv6tV82XstszVqXHSWx12qE/JfuXvoFvL6wNeXK/plw2GTM18zmdFKgy8qL1H0JKvnGz0ro3PNepXl89Q9jrw01eezsdnZNJx2sbiWN7WriJXRAp6gF9Vb9f0Y5ddqeVs9Th5x4JWNvHgazx1JNOKgrjdmhpmZ7z+v7I3qqZwWb4E60aiKqMx49WlNb/07ujutbdXtE64wnSFwMlX/vi6Pu1T3brmiKtE04j6hEfDc5ctwIi1S86056Y/Ac5fr3YjUCwgG+k0U1V+jUcHzqYei89oLMgCIYIAMAKLDcDFdgHiiRyQajBoXs8bNqNdUFOmH3XaVXNLm8lNSqRuaH+qu56bttldwFxNit3f8PpxKDcGZVAmfe3oZxvN/zZuJOxLa0haVgVmDzRNoPEHAO0Z0nEiYm4l8o/pgdO+idHnrAFgRJaI0jeqOkdA0fB6OChTnTkJRUTWKcyfB6agQlqHRMxBdQx6NsBrKlJ03YSai2fIxGvGxYvDw/haJdiOjy6jOBPKs3PYKvObhzNFJa1s/4HNPL5xO7aIzBD73xCrH/aj3QFwfO1WzgnC1Y66pS9DPZvwcn/Xz60YD3iqfpFlMcGRGi6X3SVTnRWVg5Vtt9A6I6p16ay/IACCCATIAiA7DhXQBsioCrTRoRr1WRo2fuqHzOMZgedUWbmPM/v1g/XO6njh5Nd+aHnr3jzpHE7a78jW99rLYF/Uu7vO5uNFFdngzMTV2KBqiJyo+/2rDhhVCRg26mYA2Eg1GAs+sp9xo4rdoMq2RuFSnpT6GFbOi40Rif3bsPJRG1sOdXwbPkGFw55ehNLJeEe0VQyejOHcSqqKbdWKHJ4DU4rQquhm+miJkrs5F9qPZypa3ugC+miKURtbzn8vZa3uGlsA7thieYUPhHVuMwUOqUFkwre3+OHlhy0/UE8+LnCRyB7FiQFmpkyLXEdEEbyvfAiv3ZZSmep/PPgp/NjDc9/lcOOqyadyB1KFC2fUH/uzNweKkQXDbK+CKquTOGToXbOB3+GfpZToj4KOBBUqUoBJPA3dtEitlFKhhLjreyjwAdf2Xt/aCDAAiGCADgOgwXIwoQEYNcKA9tKKeQqPzh0c0YfLgZbhvtj5k54vjFmJL3QOWI3dcVbhSc82Rttl43JmnW0F0j9+Pr9zROJUaIjQCrPr6f9fNSICZ9cAaCSteLy1POPJGd6z4EvOMB1Z0m4W0NKqHpZH1KK0dh373F2gEetZDOch5SCvac1blG4p2Nu+lkfVIX9C/Lb1N2Zq0ss/+nX99iTIa4LS3Cf/Cqkpkrs7RHs9smatyUFo7Dk5HhaY8RAKNLUPZBYg1mERlbeW95Z3PbkY+580J4jkVIqPT7JvB+7+6PrLnjLTNxivufuJ305+G/3oT0JraFV96emqMffb9l9fq2OrKxWUxw+C2V2B4RBNKPI24ueZxbqfDC5fdiFO+cI0R8HVWAh6beD93bRI5TKhVI8foeRi5frHnWOlEKLOdmyfTXpABQAQDZAAQHYaL7QJktrG9mIH2QLIiYHhEE64du07X4K5teEEJ8Xk4Mw4bZj0lHA0QheQbaZuNP53tNVQLgPd9KTiZGqqJJ25V/G9y5nPdfcxGPkT+vLyILGw5WfXtFglfntiSr82bmK3+XdRTKRJxbKQZdg6A01EBd0EpBlZVwldTBHf/Uo3IVu7DUYFBNwzjC3TOJh+TvqA/qqK1czHUve/yfRZWVZqmmf1oNnzVRTqDIdvkfrI4BoS6rMxGUXRlxil7s/rC1gWR2Ba9m+oIU6IIRlaMEavfBNH7wR4jryj8pjdb+I6+6/cI3fZ4o3ryiMCdZ1355BGBe2f/TtfB8OSUdTiU3VtjBBzIdeF+lTsQ75tk9I5+l030PM06EdT/by/IACCCATIAiA7DhRoBELkfsI3xd2mojHr15N+vK1qja2TXzX4aHw4coGlkP+6fhzWCsH3yar5yJI4yW9tE36ddOboewi88vbixxI2i++xOS8fbvjTdKr5GjapZYy2KZhPIBE1R+mw6op5jnk847x5F1xcZCvK51Y6551yAHBUYWH0Jspme++xHs5H5UA4GVl+CWfEtSrpWBXruxiwMWZuOS+7xofYnHsy6xYVry/pjadRIrI4eiSfiy/Fccgle7DMEv08qxo+T67EwpRkF9+crQr56hQe3zumNxfP64Jrr+6LpRiemL3WhaoUXI36UjmnR9fBXD7Z0PzwDwlS4OSrgzi/DxPI2d6aw8GRdjzob8pV9V0XPm03H6H3nnRPoey4SnLxvC3tPIsOVdy9uewUujynB33xZ3B5+Xs//x94knEmV8IWnl3D17i0pxco7Xh55FW6sekzX6bB+9lZ8UDjw7KRgG56Y+ojhqOTkwcu5eTUT7ufznTkfQ6y9IAOACAbIACA6DBfTBSjQcH+BND6833jx/TdPfwxf5fRlIm/Y8Ozly5lGdRlGZrRgqLte6WErs7VNGLy/9xjsYHoI/+13c+P6H3XZ8G+/Wyj85VV8oywsaCXykbfa8ysSB0ZiIZBzRIJejoPP7jfLj+hvdg5AaWQ90m/obyqW+10/FKWR9ZiT1IIB9+bh0rt8uHJJKpa0JKNqhUd3/JTlbiBeCmh7JacSyytqNencNzPB9LxvEyUccHXDvuxwvFpi595/8QMZyN2YpXElyl9doLglsc9HnoOQszpfk07GA5koXjQMl5VPRGXBNN2kZDN3MfadZoU0zzC3+u4HIlrZumgm6kUdBka92bKL306Bi496VEC9fsAxV3fhe6928RPND7h72tN4o2witjHfJd52f+N21A3Wzwswej/Nnq2Vcjc6Rl2O7QUZAEQwQAYA0WG4kAaAlR66QBoVkTgVbWx8/19PvA/H06M04v9QdhKemLpBGHZP3ZCpV/Rle/7YxYPOpErcBb12p6VjXkKRbhVf2S9blEdRXkXlKYsg0URYs555kSAyM8KsGAZmopK9d/Xf7DXCQpJRWjuOL/g3ZGHcT32YtyAF981MwK/HRGNXWgy+6ROO0wlaAb5qerzu/HE/9QVsAFwZWY0JZZM16ayZGh9QGvvTQ7n5+cvgCJxK6oIPMsLwx6F2PDEhBivqk7AksxwTI6ZgReocJVRmVXSz4uJk5lKUvaofSmvHKZOLRXVA/Rv7bAJ5T1mhLhpRsPKuG80rMPu+8IwF3j057W2ThK+IScXy3oWYl1CE62LGa97p/d7e3JG/j71JOsPhDW8GboidohntU4clHuquR4mn0VD0P3ylPooZ6w5k9D21Iv5576qV8mWPaS/IACCCATIAiA5DsMwBEIndQI0B9b8jM1o0E+xavSE6tx85ygYb6Yft9W+KrsFvUrQr+u7x+3GQienfFtc/DO9xVg3d6W8L6yn7+LNCls2X0arHIlHE9rhaEdus+GcFuHoVW7PeeSPhIO8TjQiw4kF0LU25hSe39XAzIvfPxZE4ldTFsuh+cnyMThiXrEk3POdUfFcciQvFgbhQfBEbgc/j7JgVWYOaQdM16aycEY9v+nTFqURr9/L2ABtXqO9PCzU873RSV3zROxa/jU7HwyXZuOxOrzVXItWcArURoK4PvLI3MwrZ30U90DyDwOz9N+u95408mL1DvHyJIk5dHztV936/50vlrhtw0N2DO2fg795MPJrSDxW2Wbp7mJIm7vn/f5UtOJwZz3UNmjR42Xl9N9t7U6fbXpABQAQDZAAQHYaLsRCYqEEPpKE328cTkUPd9VjTuB1/HnWFLsTerpJL8ECDPiqQ3IiW2dr8/G9KGoS/+fThAff5XNzG/it3tGFcf16EnzJbI9cAsJJvoxGAQBp+ntAzEk6ssDLr2WfPl0NvsrHxjfIk32OlbRbW956AZxMG4wFnFFfU/rk40rL4P5XUBb8a05Pr/3/9NX3RcFMqJv3YjTF3+VC2Og0DH85AbeE0sQB2VCCPY5RkP5qNvA1ZGPxgBkasTMO4O7yYeoMfP84tw6J5fXB7fSIenhyHHzcmce/FqgEhb/dP1Y9q5G3IQr9HMg3nFPCeJ+vnL480sPXGaGTATLRbFawi9x5eWkaRbnjXN/oOqUfpym31eN2bKYz+xesUEE0Q3uVPxxPOPIy0zdZ+uzjfpt9W34bTnq6AR8IJfyS21vxU03lx1/Rtpq5AgXxjrH5rjY5vL8gAIIIBMgCIDsOFXAcgEGF6IRopb9Ro/LN4tE78vz66Xjfhl42q4bZX4GdOcUjAD3x9NUP+raldsd+bLGzg5QmA5bZ67qRJdWQWs55IMxFj9LtIzIt6AwMx2IxCOSqbowK+mqI2gawSnjmr8lFYVakxBJoT2kTmAHsZ7okejT8l5uDr5GicUbnvfBsvYcA6vaB9rKqXRgx/4Q7BXwdF4NdjonF3hhM3NKWibpkbZavTkKP2q7fQW563ukBzn7yy8NUUWUqvsKoSs+JbkLk61zAaUe7GLMy6pW2+wkN1cXi2ogd25nfHkT5dhQbA1QtTdOnMvNWF47274M1BEXh4chyabnSi8KEMJW+Zq3LhdFRoeuJ5IUZlI8Cs/rFuW7wJwUb1zuxf9v88wW/FqLWysUb6nQmjhd+H/d5knVvg6dQuOpcg9fa6NxM++yg47fz5S2uaXsLeISM037JWbze8cNlizTFD3fWafFr5XooMKPYZ8o43cwtqL8gAIIIBMgCIDsPFmASsdmURiUmrcajNGm7177U9B+K0p4vSWH7rC8XvJtzK7Vm7b/bvMelsXG2nfTQWJw0SNtTy9rknVpnwZxTl521furKarygPcjx7Xs+rkXDhudKYlZ3ZRGIrxoBR+QsFh6MC+dcPRfajxrHxp0dfiZ9GV2JHYg6+TnKY9nRPXe7WCd0py924dU5vTF3uRtGDGZrfKgumWY4CxNvKasbpyordnI4KDFpQyvXBV4cUlV1urBoMOgPi8ktwXexsLIsej2XR6XgiJhl7U2JwLLkLRqxM0x1/L2dC8reJbW5HD0+Ow+ybU1GaU6N5lqLJ2qLnbfZuigwFtm5arYNWvgk88cp734zumV1AzW2vwCbOnCD1xOCjnMAARqOEv045N0I4efAy3XdqbeML+EfZ5bpOjT+pOjVGZrSY5kn0/eWdJ7sAGqXFpqfuDGgvyAAgggEyAIgOw4UeATDrqTMLBXk+AlTdqC2NzwA8Eo6nR+FXE+/j9vovr9oCj2OMcq7bXsEd3tdt/jR86k3gTvSVz33Dl4F0+0ju/fFGAERiyWoZ8Rpto55Q9ppm0VPU6YrEvuiZWxG5E3/i0U3QFW2H48LwQs9w1C30mE90PSu8+63OV1b6zb++hG+MCHr+ZdHOi73P/i0bAb7qImSu0i8qph7tkI8VLhzGyYf6Xtj7cOeXtUUL2qQf2Xi5LMq0XE8mdsO+pBT8PLYUi2JnKL39bN214uIj+gaw5xt1AIjSC1TYW3l3qh1zhfNT2PUTymxt84MWJQ3Cn705wm/EAU9PjQFw3BXGNQB2+dvmCfnso1DtmKtZw4Td/njJHJxRdW7AI+HtsiqsaXxRGQEwKicrZWnl+2tU1vK+9oIMACIYIAOA6DBcLBcgq8KV1yCLfuP1llc75uK6pLn43YCJSkN+W3walva/URdqT47vzy6k0xA9UdMwv+9LwYfePqYjAuyE31+nDMJI22zh/arzZzQHgOdqwTOmzMrRSODL7jZWG3jeMYbhIx0VyFmdr4jX/uszMfpev06g9lufiW8Ebi3vxUbg2eg0LOiRhemRE1HjaEFYSHJAvedqH/fSyHquQM9+KBeZD2lX481cldsWc1+1+q7oebLuM+r5Du78Mk0acjqzY+ep7sd8JeCymnGKqw47SlQV3YzM1blco6h6hQd3XJmI50c4cMDdzdQY+DYtHD/PnoXmhHOGn2wMiMS8+jeegW/VqGXLUSTuecew9ZM3h8FIEPOeL89NT05XDhTwu9QB3BEB2SWoNbUr9vnEYYF3p7VFCZOv44qqxJxBK7G68UWdEfD7Cbeg1Ruqnds0qBS+KOsGVCDfaNEz5j0D9XntBRkARDBABgDRYbiQBgCvQTnfSauiRkf993BbgxJhRm701b/LofaaMldo4vuz16qLLVEa40+9CThz1sdfNImP3R5N6af48vIaRF5ejQwAs/wbRfwx6skThVA0GpURiSdePtX7KwumofChDCy4pg+eH+HA0eQu+MvgCK7AlXup/xfrwGvxWZjbIxcD7GXcsgkLSUZVdDOGLBpmKv77XT9UWQxMfe+yQPcMGXZuQrKjAsW5kxTRXhXdzBWVbFkaGQdmgkxOQ7mfoSXwji2GZ9hQFF46Fp6hJSjOnYTSyHrNs2KvOzt2njA0qnZUoy1M6o+akvD8CAe+StUbBJt6FKA5YR5WuK7GwbkuPJxej2pHC9YmXo5aR7POcDSaFMwrB15oV7PeZ7PeapGha+UZsO+C+lqiUTr1Vm6rx6KkQXjNqw8c8G+fGx/6+pp+P1YmjtS9j3WD+VGB/q/2bpzwR2qMgD8n98XoiNmW8s1+BwI1Dqwc116QAUAEA2QAEB2Gi7UQWCCNsVkjz+tBnB1VjQ+dMZjfc6pphBpWJLC/NURPxG5/mi6axwnB0L26x2+TM1+3mq9RI6sWF0YC+nwbZLPIJ1YmTbJiiDU8ePcqb377SNwVXYk3fH1wvLc2LGdrgoQha9N1wnT8HV4MHzhQ8SM26jGWI7OURtajtHYssh7S955nPpQDX81gzcRdXv549c6orHnHq0drRHXPLF0r0WpE96qcr3IpsrrlbMxC4+gSrO8xEP+ISURrfBcsj52kXGd27Dw0J8zDb7yXAfESTiSG49X4HKxJrMKVscYhPtnoQLx6ZJZHI8NA/pc1TtWjFmbp8X5T/6uep2P2zrntFbgsZhj+6suy5Er4iTdRcSVcHnepLl1XVKXiDsRODH6y7iEczeipMQLed/VGVtQIw7orqmtGm1l6vK29IAOACAbIACA6DBd6HQAjIcSb+GelwWHTvyx6EA67wgGPhM9TIzDEURJQw8X+lh81HIddkZYX9tqd1hbff1HSIJTb6jX5tnI9WVyIjhUJcrYsrTbmZoaVKOqLWZqy4KpxtOAa+1i8FJOB1kRjN5Mb5vfhitGaQdOF12BFmboelUbWo7hfLUprx8JXUwR3/1JhiFFeerxyZI9jR0hEE1h5rjI8YSm6ByNjzqh+yVtpZH3bSsDrjV2K1BOw1WWVYy9H6lljVn3tB3um6p7j8d42vJRQgFmRNdxJo7wyUB+jdjES1X82LfW8BFEdFxkV5/N+hDGrdavzIHoegQQT+MYVgT0+n+I2yKbpiqrEVYUrua6M8wbOwyfOc4scHnRFYrJ9snJebeoSZZGx4RFNwu+Q+v+iEUIr5aj+HrQXZAAQwQAZAESH4WKPAFhtsK001E77aMztMQ4nPFo/2AcSXabnyZvbXoGxMaW4JqYKSxOnodwxBF84tYt7taZ2NZwDcG+f/sriXqKQeWb3wfYuisS8yKVI7uE0c7Ey6kG20rvM+012uxpjm4WXkwbicKLdUPS/lx2Oh+riUPsTj36i6tkwm3J0HLMeW3ZiJptX3jmikQuzc1lhY1S3jcS76P9m9y16nuz/2R71YVGz4W8ciOy1ecI5Bb7qIo2bkzottk7ui0s0fL6fJcXhqYQyTHecM2aMokvJaRuNRhnVWSuRg6wY5GZGFc9IF11f/rfW0axECuJt+73Jmm/NMVd3tETr15hQX0N2ZZyStlzjyjjQUYq9zkgcTO2OET2GYHbcfFxXtAb3zHhWYzDcNX0b5hSuhCuq0rRMeHkyq5vsN6q9IAOACAbIACA6DBfioxoWknxRtlGRsfjGpY2E8XB8JMJDepueGxGSjOY4F171nHPped+XglNM7O4TrlBD3/+H+3gRcZHy+71s4cnokeVETGEqemQ5ERYuPrZHSBIOxfJX3/13r264t6AnJtxhvjpt4njP95/vjrjJz3JwKuIvcSNmsPkz5W3dQ3pjVPdYrHNE4ItY8ToEx+IkbO5hQ3F4XLvUrx/qFhGSjPmxLuzkjB7u87lwIjVU8835MqULyiNiz+taSWGJyLfFo3toCq6+9B6uy5D895zKe9A9NOWC57+9IAOACAbIACA6DD9UA+ASey8cc2ljYd8ba0eYBfEfFZKMXzh9Z3332xrlj729cTq1i6Yh/kNiGBbFpuBNn77hftPrR0usq+OK//BkJE7wIH2VdpGt9FWZSJzgQa/wJO556xwR53qCY7tijSPyrADsjbDwZKRe6z8bylLb8y//nXqtv0OKwI66RYT0xgRbDLb0sOFYHN8QWBEVFXD96oh1IDokGb9yevWGgM+LT5w2zbfnpFPC9Kie532tMQOu1k0YfrD+d7p9YwZcfcHz3V6QAUAEA2QAEB2GC+0CxBuyN/J/FrlXqM+/K2ECvvV004j/1QluOO36mOjqIWqffRTu69Mfb/syNBPwPvPE6RbrOejugRuTBsJpPxfib3HiINyZMBpN0bVw2yuEk2NFvsm8cmDDgLJuEEauUVbcGoyG6YU+vaKY9JuyMG2pC78f6cDx3l3xy+yJWOG6WuMqMtYxGH/s6cQd0WMw0XG1/nk6KlBWM44bG18OsymKMiRfQ/5dkrohLCRZU5bsZFN1mfJcNXg+3Lx66bSLF13jPQOziehG74TIHYa38eYj8J6r7KYl1zVJ6qbz1Ve76ajLhV0DgD1WPj/bXo67HSV4q1cPRfyfjpNwc/ws3NK3BX8eNhb/lz8VVdHNSL++QF+/OGscsK5AvHs0ez/Y5y9J3bh1ysitSv2OGrnEsPfJe2Y++yjMSyjCw8mjsSb5Moy0zYbHPgq/jU/XfYc2xxeh2tGiK29RfSqztYUOvXPGM5qe/5fHXIuvcvpg08xfaEcDGrajrmi5LhSyKF9m3xnevvaCDAAiGCADgOgwXKx1AIyEqZHfLfv7TxMuxwm3Vvzfm+ARXqPM1rZYz01Jg/APTjSOf/vdup7/zzxx2OVLw2veTG5EHyMxJxJmZg2mLC5EjbCZiLTSKKv3G/lNs6vk5m3IwoJr+uCf/W2ant27C1N09yYS1GyZzIpvQXHuJHiGDNPFxlf7jbOink2PJ8rYfKoFoNpYMRKPPBFX7ZgrjB/Pe/6i5yKax8HeP/uM1Nfn3Sevfqifi/yvbDSp03XajdebMDJM1OnLx4+MGoINPVPwh15punSmzxqDNVPjsX14FKYvdXEXLFOv2WD07RDVC9ExcthSNl9W3lW1scmr36J3zfo72oDb43w6I+CPfXPQktBiOd3a1CUakf/y2OuUb+VXOX2wcdYvdSMB145dxw2LbFbWVrb2ggwAIhggA4DoMFysScCixpvXcIoa1Ik9B6KV6fm/O8FrmHa5rR6/TCk2jMKx35uMM6kSTqd2wcfe3prfro+datrY8cJfmokJNm9WehfNRKRZwywSyer/l0bWI291PrI3ZWPAukysaEjC/rRQrmvHfn8YnI5RGhFpVDaskOTdA08Ai1Yf5pWbqGzYZ6MW8uw15OPVx/CMAaO6aiYq2R520bMWpSOqK1YmJ/NGm8wMEqP6qzYueBN+5TxWO+aiKroZg+7thy9d56JDvT3AhnkLUpCzUWUIbMpG5upcuPuXKuszqCeGG70jct5E5co7VnScep8VI91s9NLMWCizNaIlJhcnndq5SG/28WKS42rDfMh5GZnRck7cN76IDwcO0Hwzv8xJwYZZT+mMgBsu24CaHvrRHqNvixWjpL0gA4AIBsgAIDoMF8oAEIXHs9pzxB43wFGGIy6t+L/nbM+/USN0f+8xlhbv+tSbiA84i/TcEj9R2Ngb9TyaRT1h02B7ZUXighUZRsKMTctMnDjto+HOL8PgBzOwcka8RqSpt6+dXbGhNhYV9/rhzi/jCiie20ig4sHMqOKJMlG5iMS4ujyN7sWo7HkCUHTP6tCgbHo8o0iUb7b3nXd/onvkGU1WBD6vDqn3G7nkyFtx7iTccnVvbr3alx2OxfP6IG8Df0Qgc1UuCqsqlYXQzOqX0XM0qi+i9Nh3lJe2lfouKht12hOjB+LrlBCNEfBC737CdNTXZUcAHqx/Dh8NLNB8O7/Ic2H9Fb/RTQxeNvZxJUyo1XIxeu+cdjIAiI4FGQBEh+FizAGw2hjyhIfcYF+XNBfr40uVBuxn8QWmArLcVo83vLnahXgEcfxF29iYUqGg4YksnmAX9ViqRaDIlcWoF45d8diKsJF7RtX75RjsY2wz8WRmFr5O4Ud2+TAjDD9pTMLAdecmbnqGDBOKTSOBpL5f+fpG54sEaFhIsqanl02HzSsrlK1ck/3XIciK4QAAIABJREFUyC3J7Jnxrm0m2kX3wNYhNp+id1DUk21kIBq90+o8856j+nfPkGEYvioN6ybF4munuJ7d3JyMfqwhIFivgC0Hdr96tWL2/kTvMjtCJBtOVuq4qC4ZGXS8ujOqRzE+7xsBpErY1ycSv8iswxPZM7mLmqnTGB7RpJsD8FD9s9g/IE9jBHzWz491Vz6tGwm4qnClaX2w+r1x2skAIDoWZAAQHYYLaQCYCXQzUaF2AZF/XxCbhbWJLpTZGkwbpYboiRox/67fg2Ou7njfl2Iq/Hf50zVzAER5MZrsJzqW10us9i8WNaQ8MSESAbrfHRUozp2EoqJquPPLUBXdrAhk+b7ezBzKFWT/KrDh2uv6InejvmfWnV9mer+88gtEMLNlqP5bLcpE4lP0HFjhKv/OW8jKSt1l7ztQQ4D33MzEnlGZ8kSs2thkrynKD09cn4/h5LSPRnHuJKXuDHw4A3dcmYhP/XwXs4/SQ3Hj3GRuvStoLoU7v0xxC+LVDaM8iZ6j0bvEM5zM3n8j405UN9XHFjuG4dXevdAUPQtltkbc45mDn2VdITR45PuZU7hSJ+wfvnIbPi3I0hgBn/TPwUP1z2pGAu6atQ0exxhhWQa6tRdkABDBABkARIfhYswB4IksUePCHqMWY+wkTKOGvczWiLrYEo34P3k23nZralf8x5dqagQsShrEFUlGPYhWBAWv0VePAFgR0EZiQlNGjgoUVlWi3/0FXHeKquhmXJc0F68UXY7rElvw79g4RYC9MTgS9UtS+ZM0zy7YJUdqUYshK3k2E55sneGJfKddvzqr0fMwmkysTputY+rz1cea5cUsPVG9NXILak6Yx72uzuDjpMWWGU/A8v7Pm/hb7Zir6VnnHc/WiWrHXDgdFchcnauJ/tPvkUzc3JyM9zPDuIbAK6VRwjUjMtfmIK1lIIr6TeQuZMYrV6NnaFRfzeYAWKnjVje2TqqNukczZ+OWvi2aDhL2/OERTbh27DqdEbDuyqfxWT+/xgj4oLAQDzT8XrtY2KxtmDx4mW5isJHBJyr79oIMACIYIAOA6DBcTAMgkEaxIKoMP+o9C9WOuUrYPquNkPz/sTGlSqSfU6laf9qv3XZhz//utHRsSSlGraNZKNhFRoBRD6KRWBD5shuJRpHPsfK3IJxn7sYsNNyYiuxHs1G7bDDmJJ2LMHJb9Fi85u/RFp3FZMGusppxXNFuVYiyYscsz7zJpmaRWUTGp+g58Sbn8kSNSOxZPZbNu1FZGYWVNRLvRkJWZLTw0rMyn8NKOcm/+WqKuPUpd2MWFs7vg/eywzUGwA3z+5jWRXlF48KqSk34UPX9BzJax7vvsJBkrjFk9ox59VFU7mbfEae9zQi803UV3snIweK4Gdz7KLO1hQOdPHg5Vje+qBH366/4DQ7kpmqMgL3F5VijOk52H+JFBzIqQ55rWntBBgARDJABQHQYLsRH1UgM8QQO26BcHXsV3ukbi0PuSIzoMUQocngCUf23216Bf3jSdOL/iCsSe/x+rgHwV18GFiUNUlx/rApHUcPOEwC8440MAJGY5QlfWfA47aO5QqvxRifezW0TWFOXubnhFoXrAKj+zr++BKWR9bp7sOLyYPQ8WaGmTpP3LzsCYCV9kbGiLl+12LJSD+TRKZFAVBsuRvdjJS9GZWlkhKiFrJXrGQk7o/eQlzd1b3VpZD3yry/h1i/ZEFg0rw8+yAjD3txwbXQg1ZoU7D71GgJy3RTlSW3gWX2HrUyeNjN+rBxvZhCX2Rrxq4QBQKqEb1IjcHvvabrvgzrduqLlupGAjbO24FB2ksYIeKt8ku44OTqQUYhQs629IAOACAbIACA6DBd6DoCoURD1Xnvto/B2377n4la7QjE6uthSQ+O2V2BsTCnqYktwfexUjOgxBMdTwzXi/7DbLhT/v3LlwmcfpQgVo944UQMfqIhTizJR4y8yAIwEmtNRgZzV+YooGnenF38ssWt6Vt8qjED2xixkrspV4vDL1yiNrIevuoi7YBevl1VUTkZ1QD5GNAGYl182tKPaAJAFOG+OhUgoi+6JJ6R455mVAa881KKYN5pk5JbDpidywzGqQyIXIDZ/onISGSJWjBIlnbOuaTmr8oU9+v02ZGHUfX7ub1sro/HEhBgMWZsuXEPAqC4avausKxuvrhm9f2b1Sj7e6qgYW6fv7nWJ5pt2NNWGm+KmCZ+HK6oSS8Zs1vTsr2l6CY9N34yjGT0Bj4SjGT3xi7qHdOJfPRIwPKJJlwfe+8Duay/IACCCATIAiA7DxVoHQLQNj2jCUHc9Rma0oMR9JV5I8ml6pd7pG4vMqBGaXkR2c9srsDhpEF73Zipifp+P4/bjiuJGAfqHPwOLkwrhPruSsEi4WO3BMxO9vO27uABVO+aiNLJeWVirOHcS3AWlyH40G0UPZuCxql74NlHvW/1BRhhK709TJvPy8lsaWQ93fpkuFrson7x5ADyfdp7QZY/l7WcFK8+dhee6Y7WnViQKeULPSOjyRjFE6bBiMFAhzrtXnvEkj1LwRgDYY3llySs30X3y0uKWu6MC7vyytsnpBaXIXJ3DHRVQb3U/cit1+JCzG25rSNKGDt2UrTFqRfkIxChk31Grxq4oTd48BLNnKx/vsY/CK4luzbftuKs7ptsnYqRtNuYlFGFl4kjMSyjCSNtsOO1tRsANl23QCfwnp6zDZ/38eGz6Zm7vv3qbNHgZt66b3X97QQYAEQyQAUB0GL6vEQBXVCXmFK7E3TPORaD464g6jfj/jzMCBVHaKDNsw+i2V+BRZz52p6Vjpz9d6PP/j74x+LMnW+vu483C+uRS+OyjAhZcot/MhBxPbMniwkrvre7/Z3tSM1czPfVrcrGkJRkHOLH8v0rthhUNSZowixVDJ2sEKS9fZj28ojIS9WjzhLKVMuCJMvY+5REcddx9ox5LMyNC/j/b4y66P54QZydL89yFzISVFVHJK3f1/3lCViTY1WUhGhXj1QczNxbR76L5AertjcGRujr9Tl533bwVOUIVL0+i5ySqh7KxKXoPRXXYiuFpxRhlj3XbR2F7gkfzjTvpCsW7PrfmG7fTn47HnXkYaZstHAlYo/6/YLu/cTvumPG06XwAGgEgOjpkABAdhgtlABg1sK6oSiwf+7imIXp5zLUa8X/E70Bp9DDTBvHGpEJNg8cT/4fcUbgxqRC1jmbFRWhsTCnKbfzebCs+uOy/rBCwIjpYccFO9jQqQzmiSv71QzUx0rMfzcaEO7x4qzBCJ5JOJUr4WXUvFD+QoRNVlQXTuNdTT7jliUUzAcOWiVnUGdG1Remz4VPVUXJE11CnL0rXqGeWJ+7ZsuHVBdbY4F3TihhUGzW8/LGjC7wyY+ttIHVdfb+s4SLKg+X8Gsw/kbdL7/Lh5dIobsSg/7s0GiVr2tyCPEOGCQ0/3jMxu1/RYn1Gz83seRq9C2xdZOtYraMZryb5Nd+6U6kh+LffrQtqsMObA599FIZHNGHS4GW4Z+ZzpqL/wfrf6fYNdddbqi/qrb0gA4AIBsgAIDoMF9oA4IkhNkb10zV34LS3qyL+T/m645eT1ypDzjzh4LZX4KakQUqvv7zI1wlXKBPtJwo7fWl4zZuJclu9oY89T0SZichABA5v2N+oV5ZXdurfdb2lm7KwblIsTnHcff441I5xP/VxJ07mrS5Q1gUQ9WSa9f6qe35FwlJkQPCuJ+ph5YkyUe85ez/qXn0j8S8Sdrx02Xtn5yjwjBretdjyMxppEJWHOg3eBGT5X/XiaWyaoufGmzBrZBzw7tWqSK6Kbm4b1WLmn7Bbw01OXcQgxEs4mNoNS1qS4e6nWsTv7DoYalc21lgyMuzYumalblrJO+86vLrL+4447W1GwAfOaO1IQGoo3vV7dK6OjzvzlPPKI6/CvbOe044EqLaXxi7AoewkbJy1RbN/ZEaLqVHD5re9IAOACAbIACA6DBc7DKgrqlKzSuUTUx/BSX+EIv5Pe7rit1U/4Q45y+mU2+oVtx922+/tjTOqCb9qn/+G6ImmIkQkYswab1EvMO94kZC1YmQoooUTTz370Wz8eky0Rgx94g/FvAUp/Fj+qgmTIuGnuaaBWBGVHbtf7qFnBaiZL7QobfXkafZ+5WtUO+ZqRgbUxoy6N50V4UZijhX67PPlPTcjA4vNK5sHXrlY6W3nuQWJerLV5wYSIYetH7xRG5645uVZffys+BYU505CQXOpeKLwI5m4Z1YCjvbRryq8K74Pbkmc3jbZeLV2snHe6gJlHQy2nHh55L2jondcVGfYes+7rug9E70jPvso7PSl4WuXXWMEnHCFYa/fqxkJ2OlPV4IclNkaMXnwMr34b9yON0dM1awW/FD9NuX3qv43wRVVKcw377m2F2QAEMEAGQBEh+FCGQA8AVBma8RQd73SmGy44lf4OitB4/rz/y6dazjkXGZrxE8TKgwX8PrQ2wdfc6L91MWWCBt3kWi32mtp1OiLhI66UedNAtY1+I4KVBZMQ8XQyfCOLeYKouIH0nHA3Q2nEiVsmBiLgesydS5C6r8HLShVRJBIDBrlk+1FNRNRPBEoCyNR2Yg2tZjluaNYeSYiEau+J958ALNny6tfbLpWJoKyeTFapIz3bNjz5DJj50qwBoVZGRo9K15arFsSL2/CsrTgFjRipR8vljt0RsDx3l1RtjpNWP/TF/TXRcASlYFZ+FTR+bznIRodNDIWeeU1L6FIGf084o5kJgaH4x2/T/MNnJdwLjqSK6pSWSxM7pBZ2/gC3htcrPkm7xtcolkj4I4ZT3MXCRN9M9oLMgCIYIAMAKLDcDEmAasbhZEZLVjT9BIeaHgenxRkaxqat8su1/VIjcxoUc7luv0EsI2NKRWKNSsCzOo55/O7aBJwma3NfcFXU6RbzbfoQb0vf5trRCouv92rdfV5IEcYzpMVGLNj5wW0CBZPoPLO4Yl6ntjh/SYyNtRzAHi90Kyw4gllo3zyjAt1OYnEIFsmrCgW1TX19XgCkSceeWkZzUVg502IyttsjoToWJ54ZZ+B2VwQ3TUthA3N3pSNlhtS8N/UcysK/+KyGNNJxXLIUCNBLhtO6ufO1kXZbYtXn63Om+HtN3oOy3ufmwO1x+/HN64I7aRgxhVoee9CTZq86EAP1W/DZ/200djeHDFVuEiYKI/y1l6QAUAEA2QAEB2GixUGVG4klBGAxu147ZImnPZ0VZajX9v4AnfSmdM+WhPtR+3zr57wJtp2+tPxmjdTWdzLaBMZCIGIYKM0eQJKFrI88eGMHoWMpfma3s+B6zLx5PgY/NcXIjQC2O2SAVNRnDsJRUXVKM6dJIzjr3Y7sZpfo95cXhmyvcNqgcy6VBn1qqrLTdRLytvPpmskltXHiIQOa3iw55gJJPVx6vxbLXc2fVF+1UKWrefypjZqrkviz3NgjS22/hiVOa9czJ6J5nk4KuAuKEVa8wBkr8nT1PHMVbkoqxmHysgZ+E3PDHziC0PhQybvx9k5ME5HhfY6nGubuQCxC8GJnq/o+2DkOsj7dlQ75p4bATi7veP34ZirO467wjUuQIoBEHeprux5IwGbZv4CRzJ7aYyA349fIgwNarS1F2QAEMEAGQBEh+FCGwCsqBge0aSZA/BM9Qp8WpCFh698Rhd27q7p25QepsVJg3Ti/yt3D7SmdsX7vhRTI2BR0iBuo8xrYHkCQP23WiAbNdoi8cO7ps4FyFGB8VPHIfsh7UTIuh+58UHGuR7OrZXRlgSOHL+fFXxq0W2l19LI991IhPP+LzrPyJ1HfZ5cbmyeeM9QTpPn227kdy0Sc/LfvKhDojrAXpcVczwRyHOlEYll3v3xylHtNsW7J94+kVg3KjcjI4tXR3j3LaqPZTbtGhXu/DLNaJY7v0wo/qcuc6N8VRo3CpYov6zrFK/sRXXeqP7y8s573qLvks8+Cjv956L97E5Lx16/T+f6I88BmOSYw7234RFNuKpwJe6afs7ff0vdgzjlC1cMgG99YfhF3YO6b7R6gTDec20vyAAgggEyAIgOw8WcBCw3dDcNXaObeMaLRHFV4Uo47W29/697MzWuP597YpWh7tOpXfChr49Q/G9y5lvq/Rc1YEY9cmbuGLJAZAUee566J7s0sl4J7yn3+uduzMLq6fG6Bb2O9umKESv5q6WKJvlaEcxOu3ayrFE5iXzH1UKeFaM8Ucfztee5FKn/z46cmAkv3rWNBCvbo887T+TWJLonnhHGE79mLkM8oWq0sXWNl+Z1SeL1CET1R9RbL6oXIsNKnWdeuYjqCK8OFhVVc9+FYWva5sgcTO3WNjledqcrqubmUf1/drVuI4OJzRdvn1HZmj1z9XGPO/MsuUC+6C42rP9Oe9toQFX/m5Rv8O8n3KIZBTicGY8NV/xK851uGnEfhkc0CTs32gsyAIhggAwAosNwscKAqv8/PKJJN+Qs8i912kdjbEyppiH7xJuomezWmtoV+3wurusPu8KvkTDkNdoioWwlHaN9bPQZtbgorKpkJjim4c1B+rj+bxVG4JJ79KE9eZMcWQFl5JMsEq28/Tw3F5GBwStjVkjyesRF12TFrFnvNy+PoucuEnEikSsSZ6K8sn/zytuovolWtuWlx+4XLWhllnejMuNdk72+6DmZiVLefRrViTJb2wiA/p3Iwstl2vUDfnFZDPqvz0Rx7iRT4W04T8fkfeflQ+RKJpp0Lvr/JMccZRX0Xcz8KPnvv/uy8dXQJGxMHKEzzNk0mzJXaL7J6qhA8EjYPyAPaxu07prXjl2nGAHsM2ovyAAgggEyAIgOw8WaA+C3j8SLSV7c0XuqYgRcVbgSd8x4WtOQ3DV9G64qXInhEU3KuXWxJeci/Pj6KmE+5d5/kQvQnQkV3EbOrKE3288TPVYNBFH6YeHJbXHKh5Ygc22OIuCvXpiCg6na1XxPJUpYOSMeuRvFoT1zVuWjrGac0PVHJBLNhKFosTIj0TI7dp4yEiIqS5HYMbo3nigTnce66hg9N9aY4e0XuaiY1TGR+GJFoaiOGQlIeT8bUYnNH9uTbeSXbuX9EJW9+n7U9yz/KzIeePnh1T2j9640sr4t9Kcq+k/+I5nYVtFDZ0j/O6s7ptur29JQrRdQWTBNeX/kcmPXwxCVM6+e88pZnjdgVPdF9Uj920jbbDzuzNMFSNjpT8evUwrxdHw6kCrhTGoX3JMwHm57BRqiJ+KamCpcHztVsyiiOlJb2wjti3h/0CCNEfD34TXC+QDq5+y0kwFAdCzIACA6DBcjCpDTPhpPJCW3rfDr6obGXv2U/cMjmlCbugQjM1ow1F2vCS0nN1J3JozG7rR07PO50JraVRH/Z1Il7PcmC91+RCv98kSGWY8jr9G1IoBYgaUTkWcj/KSvytQI+H4bsrChNlYnVj7ICMOkH7u5ot87thhFRdWKPzQrJHmNc6BlI4sWM7FipReUJ2rYY9T3yvtdLWbZ+Qy8+xFFahEZCiKxb2Q4sL+rDSGjyEFm4pZXJqK6yz5ntZBm5wCYPRf1MaK5GewzMqsTIkNQNDLEq7u8e1DvY0fS5G3RvD440le7bsC3CSH4ybB83XoBmatyUVrbZkibhQHl5Y0V+Fa+HaK6Z1ZvymyN8NlHYV5CEVYmjsRdiZfBZx+FZsdlOO1Uj5h2wz882jkCr3kzcX/vMXDbK3RrtaxpegnrZj+NgznJigFwPD1K4wqkng/A5qe9IAOACAbIACA6DBfDBWhBrDbc596+veA+uyANr/F02ytwf+8xyrB228Q2L06mhmhcf/7riQ/I7UckeEQuHrzGlvVRNhM2vEZa/r/W1/9cb/7wVWn4a6He5eeZS3pwJzZmbWoTKmpXH9G1RWJCzk+1Qz9R1kgg8mLli8SqmXgRxbhnhaF6P69X1khgisrEyJgR9VaLykQkwkXX4d0zL7/q3nNebzhvvgKv7NkoQEbuIEbpGglx9nj53tW9+bxnY3Qf6npiNNqipOeoQP71JZq5NEpUrLt9+Gd/m+4d2zKuJ/IfydS8W9mPZqNwwTCEhetHm9hvgvo31qXHrK4YGQmid4+9nqgsH4kbxqwWHKJbKGx3Wjq2pBTDba/gLhL2xNQNOOXvjs/6+fGzGY9z523Vpi7R5aW9IAOACAbIACA6DBfaALg1fgpaPd3OTSJzhaHOPlnYqLntFfhlSrEi5uX41kddNk0D9qWnJ7fn/8az0X54sbrPpyfOyvFmPZGic3w1RdweyqsWOzWi5FhyF9zcnBxQLHORgBS5e7BijtfLbJQvNm3R+awQV0+S5okrM4PKaEKrWVpsXo2EOq8s2XpmZIQYGRg8o4ItL6vn81yx2JERNnKSKE22bIyMOdFmNH9Cfe9m9cfoGkbvWGlkPXzVRchclavr2c+8fBC29MzWGQH/7G/jTqx3LUyD01EhnBzPq+OisuCdZ/Q8zMrcivHwWp8EzTf0qKu7brFEOWKaep6Wentq8ho8WP87rvhf0/SSboGwMhtFASI6FmQAEB2GC/FRlRuyzKgR2OeM0PT+z47JNxQYsruPOtznQbdD03AdcUditz9N0+sv914Zuf2wjazZv1YbWTMBzduqopuRszpfuLLpA1PigHgJ/8kKw4Q7vNxjslQTfUsj9Ssmi0SwmVAVTZ5VCxg25rlIGKpdboyEYCBiRt2LzPZm8wSmSEwaGRhm4tLseqL02Z5ruXzY39X/iu5rcR/+Og48g0KdvnoSMPtc2XN4LliishIZMaJ02TR5+TWrw2b3ozYE1CFDFd9+RwXmX+3CYcYl6ICrG2be6tK9a/nXD9WtGcC7HzYvvOfC+04EYvSwz9Xo2HJbPV73ZOCwS7ta8CG3Q/Mt3aVaM8UVVYnGEfcJxb5oY1cKbi/IACCCATIAiA7DhZsDUIHf9E7SiP/H4/MMBVe5rR6vezM1kSz+54nTLW+/x6f1X33Dm4tFSYMUtx+jXjgrgk90Pk8c88SKmTipdsxFce4kwx793I1ZuHdmguFCRlkP5aCwqlIzUVEkSqwIYDODSSQ8eOXFE6Gs6GHLkrf6ME/IqtNRjwCwAlFtLPDuTXQf7O9sGVmJ/c+7V5EIlK8lu/awBgTrRiMS5GrXGKO5EKwBICo/9hqBvBNG925mJLGbUThaXtmy9y4ypMpsjcp7WHm3D+/kdT83JyBRwqxbUrnvXWFVpWbEgi1zK3VDfZ9sHeUZBTyDyazOqbeG6InKQmHHXeGab+r/PHHcVdOd9tHc+QC8jZ0PoI4M1F6QAUAEA2QAEB2GC2UAsH7/b/SN/v/sfXl8VNXZ/ySZTDKZZAhZCQEmySRhskLClrBkhoQEI5sQkqigRQxhySYkbCrB7aUiVISKO2LrVvu6trXv2/39+bZWW23tW2urtYvV1qq41R2B7++P4dyc+9zn3DvRoGm8z+dzPsnc5dyzn+/3Oc95DvIS6001eNTdZ9jlZxaO50QBOQ58nBOjO/l3d2b4nVp3myE+lRZbRQDkiVXWyg6GHJj9pvf8s2o0v+RnXsZv6jVz71m0swI1SavZ/HL21Wb5UYFkGZyoiAAFKirTKwpsZNCrAnVcndJ8cCZActxWxEwGb6LeRR5kz0U0DpU3JPkaPQPCrE7k73LpF+SAAkaOKKnKmZYZl36O9Kjqk5o/0es0PZxZmBlo5vqu1bNmfY4rK9EPS28rxdSbBrwE7VqTpVx1o/ttIvk2bQdmZR9J3iK9Jq7LntT+WJiHj3NidM4U6DkqXx474BaV2w8gwsE138cTdWfho8IE3LHyNtYz0FCJTQBsGQ5iEwBbRoycikG1dtQsfJjn1MD/67mxWO452xSI+hL17j7l8OcCH47mOA3uPs9Km6OcTK0mfqsJUzWZq0wXBgNGxArAGVfm46WJsXgzJ0btz59x7zl9WaMOgERqRqB6hpIaARg5zSoHrFW24XK89NtWhM3sf7kOZBMgSnw4gmJl7y9r4lUA1IwEUiCvqg8OEHPpoYRDRWhUdS57HhLvynsAaB7Ed1RtSi5bMzt9Vd5VZWDVn7hvcem3ShOtG8N5AYdLsHa7D6WH1S52S28rRV5FKKJ6NQtmID7Sscos/3KgypW/FEzQuVM+lhOtU64sTAlq8eQmNbLntly35r/w98oBRc+rk/Jx3Zr/0q0EXHnuQzh27PiQzCs2AbBlOIhNAGwZMTLkg+qHH+K5Cak67f95J+3+zSa/kLudXQEQgdustjAlqDwZVAaKHEijgM5sIo4E0Jtp+agmN+RuR5/3NLwzbsDu+PnSOFRdz3v4KTs4Gf7Zc3TuPWl8ZoDCyhxK1tzSfKu0zWb55MqB3uOIGVemMiDlwJaszVaZlQzGbEIGpJxZExcfBV3UlEd+l1tRkctDnJnApUv8Va0g0P9lD03yNdVBYDRNtLy5VQ9V3+Duye1JLjMrwkSBuyrfqjbCXde+720w3Ysjh7aLcjSi7p89B42VK7XzAjgPXFy/MfN+FAno5/qfWbsWQZhXyucE/CNfvyn4ndwE/K4wgJ/nl+n2UvkSwySAO7flqdBS/fkAoSbDKsBLf3hjSKYWmwDYMhzEJgC2jBgZ8kF1V69uQjg0ZgILEOWJqtnbgYUpQaxIm43HC4oNp1nSIG9Uo5OpChyoJkbVZEw1rly6VRO37n9vg27zoc/bgMNptTieEaXbdPg/NUmYobD3L2iqjgjcq/JJ82B2TwVIVKBEZWtOzU6sgI6qbYi6oPkU91RegGg8MqhWmQaZgUsO1HJg3Ez7yx36pIrHrE7N2mYk5kb0IDCubiMlTVZ9TGUqJf43I/Cq8ufaSyREWC4/OV2q8wLksPw//HhvXDRez43B2ZfmoeRgmcGrEN2PY9YOzMgO11+5vq6KX1VH27JmGMbSN/KST3oEcuO5k25Bb52wkK2LJm9XmAjMuEa3CvDqpHzdmP/Q8it1BOD5X70yJFOLTQBsGQ5iEwBbRowM+aB6/9fbdhecAAAgAElEQVTxdm4U4HfgqfGxSHSOhcuZzYYEZzY60nPxiH9Au/9Sfhb+XJBjSgCemRjAhrRcZbzDIsRlY8xSP4oOSgd8HS7BwWXGw72+viwVZYeKieY/bIKQs7EQrrhhkB872GGkhrhs5Gws1PU7OYQOTMQ/851af/1gbBQ6+8b/2/XXBGc2bhiXf9Jz2kRtZfWf/nT8riA8Bt8wLh9JzmzMTJyA00b5MDNxAhJIPEXj6nQA/46Vh3G0IF4jAO8WpeCW8+63VwBsGZFiEwBbRoycikG1MD4TPxgbh3J3hulkdCOZjP5c4MOJHAeO50ThH/ljtElpwN3nRG2SopPSsArubBReqdfmTzpUgnsXjNYB/2PpDvQkjcKYJX7DScCB/cUYs8Q/bMGEHewwokJcNnK3TGS1/5NvKcaDjcn6vpvpwCXrxrLPj1ni//zzowgJzmxsSNMrXZ6ZGMAj/kJ0peWiK52/15Geq4258bETsOuc+3X7AX68YKNuFeD5qtn46pofYNc599l7AGwZUWITAFtGjJyKQTWSiagjPVc3yfyhsAAf5cTqPFP8qSDXMBFtSMsd3uA/LhsFBPxPubkYP5qbZDjc69w5Y3TvjSrxIWV6DkaV+Gzgbwc7fNYhLhs5m/iVgJJbi7WzOeRw4JwM3YbhksMlCOwvHvb9N8Gp1/InOY0KGXE+AKd4WTB1g97Wv/2H+POMmToS8INFW3H61PVDNq/YBMCW4SA2AbBlxMipOwdAvRHOsCGtcCL+lZeo25D2qj8NTxcG8ER+KVakzcbClKDm59/KRtrMJtbKRpizzzazgafXCpqrdMBhxg1F+EVVgg40vJETg7MuycOkA5XaAV4uZzZrt6uyP1fZTMv20Sq3kZHki9odq+ySqT02V36R1A215xY2+5ytt/y/y2ncBEzzR+ueawucbTr3vlXa5Xe5OGhZUbepZmUmx0HPIrBqG/J1UWZc/jdl8X7/Zft5zpMSzasqD5yXJfo91WZeuhHYrG2p6k2130L8H/S0YfqyRuPJwdeGbf53rh+LY5mMCd+tesIgewmi6THbF6Gq70jbn1WcXJ2H3O36/QGFE3HEPxr/ykvUHRImTgn2JYY3BV+04HadZ6BD592L94qSNQLwQYEbLYkrhmxesQmALcNBbAJgy4iRU0UAzCYg6u3nZcYbhTzxLEwJKj28RDKBciCDxmUGhFX5oPdXZXSi/OAkDQSU31qCp6a6dWDh74WxWHTVgMvPmeWt8CUObGY12zhrBpgoWDADkZyLRwGwOHBnRRbMNifK35MBkFk5RkK2RHwuZzbrsYemhbqulN2cijQJYMq1Dfl/rozNCA9XfjRQAsARGDOATfMpPyfnV5SZKi20XMzqwMzTE7fR1ar/cm3HrO9x7ZrmiYvLrK2IIJ8cPLO8FVUzl2l9tmvzBHwwVr+J/74FySiXSIB/Vo0yH4MF7J/kWTmP9LRp2v/yEhs0hcxzhX68nxuvjcUv+zNY5wshdztykxrRWnWJzjPQd5ZdrlsF+EV2NnDixJDMKzYBsGU4iE0AbBkx8lmsANCJeEXabG1S+VNBjnbQlzjs69mT3iiov38zEBHJhEmBm5Wm1WripvEafIrfVoqLOrM1kPCn0jjUXaO3MxZAwYwAcGCNK9dIQJsVALN6lrqsVAErDhCb5YOGSOtPgFmzNsGBbO4bHPmh5SEDag480vzKvylRofepdxozsE/vCc29Kl1yngRp4uqYfktODyUGXB1z7YQjqFZ9VVXG8kpDpJ6maFvj3jHrdx2Z3Ya+/aX+XPxrQrSOBHy3fhQmHyphzwmwaqOqujAbg1RjgarvqsaG3rQV2lj7bGE+juY4tfH4eE4U/kScMohTgkXITWrE7Lw2zCvqxPn5l+I/x2brSAC+eWhI5hWbANgyHMQmALaMGDkVg6oKoOYlNmBb1gz8Mr9E80DxYa5LZ/f/14LxymPpOZDKgc9IAIYV+LCaTDlQKp8qKocr2rPwdEU8Zh8MsAcKyaYsZung8suBAA400vLhAJz8DHVZydUnBbccABZBNlkRv7m4IyEjMrh0ObMNvtVVwJErE6oxjwRUqUAafZcD8yqyQAGzCqBzv7kVFVGHtF5FmalWelQkiVtlod/m0sa1G1XfU/UzUY6cK1dV/6XP0fbGtWNV3kPudvi8DeGN+tJ5AS1X+PFGToyeBMwbhYqTpn1cmqxWqlR922q8MiMZtH3J9zoyu3FByjLdePvXgvG6Q8I+zHXpzmGhChn6jbKkWvw9J+wV6Edj84Ajrw7JvGITAFuGg9gEwJYRI6d6BUBMOnmJDfjmhJknN5XpfVCL8Jo/lXj9CR9KI/v7V02CZtfMJlGzZzjAY/jf24DlM86Bf1YN5i5aovQjPvmWYsO14oNl8HkbdIczqcAQBZdWdtJmIEGlxVb9VYFj7hkOEJgB7UjyxYFR8T9dAVCBH7N6NANn9DkK1Ln8ymZEHZndOiBOASdXLvRZKw06R0JoeuV0ym2Nxk/ToCIXtK7EOyr7du4+JRUqsyY5j6q6MmubZv2Xfl8Flpu8XRhzht/Qhxfvzscr/rCL0I/HONDdNwFNKxcp02HVt1Xjkaq/q9qEWfun8corACK85k/Vjc1v5CWzpwSr8nh2ylSsTZ0EX+L8IZtXbAJgy3AQmwDYMmLkVK4AyIEeQvO3/HG6Ceb93HjDhjN505lqsje7Z/aM2YRpBji1e94GBJsXofjAwGbBufsnYuHuAp2W0CwULK/WQBBnyiKbhHCARJUHs7xEUoaqZyjgUIEY1TsCEHNAyAoUCTBK35HLTVXHFNRSsxsu/eI5Cgpp/mVASjX61FyFgjJaNhSIqupDfIsSC45IcG1Z3gPAEQTuGpceOR2qfiOTHRo3V56qlSTaBlQabRWJ4E6Upr/NVs06MrvhistGoG/KSW8/A/349D0FeDEQi02bxqOidw5+t3g2uwpl1mZofrh65PqyWTuxGv/EM/IeAHkj8Hu5bt0Y/UJ+tm4PQCRpCrnbh2xesQmALcNBbAJgy4iRU7kCICYCOsE8W5iPj3NitInlWE40/liYp9P8PzMxgHsmzNS0/6rleTOQEsk1KxDMgR6ftwEVvbN1QCD41QD+XOLCa3lOLN6dbwn+y6+cCp+3QUuPygvQYNOtMjHgwIdq4lZpma2ACRc391dFFiL9phw/BbMyMFaBWQ5sUY27nA7ZHIojIar8yOng6lC1AsBpxSlR4UiFfI2+J4N0UWaUoJi1DSugp3rHqj1H0q9VbVlFglV1ojJjou1Kdc3lzIbP24CCpmqDl6DJXylFaPkiBD1t2DauC79fUINNWfz3zNpEJGMS1/6sys0qLu6U4D8W5uFYTrRuf9ZlWZWWK1I0DJXYBMCW4SA2AbBlxMhnsQl4TXKLbmL5S8EE3cTy9/wxuvu/zC/F1qwZpqY/ViESO1oOtIn/OdeZIhQsr9ZN/rMOBvBceZxmB3wkLwan71GvBBTtngRfcr0urTKQjSRfkUzqVIttBrw5QEaDmRtGCggoqKb3VECGA8lc/sVfeUMrzSsFwZz2Xzxn5v2HW/Ggpix1nja0Bqqwo7wRrYEq1J20Afclzkedpw1nF8/AodqZ2FtXjEtKmrAmo5MlK3J90O/KRISSGM6MhytPUWZyvkW8KnBMSYHqL5cPWoccKOdIiHh+UxZPVM36tfzMpiyjGZMV6VD1D9l0yudtwMzyVvhn1SCvIgSft8FQV2925eI63wrUutsM6Y2kP3LtkStvrjzM6o0rh7zEBhz2VWjefsRY/Pf8LN0qwK/G5SLkXqOsA+7aUIlNAGwZDmITAFtGjHwWBGBjylKDdum5Qj/eyfWwvqZXpM1WTiZmwMZsQueCmTZQDjKACHrawmY/hwf8/D9dEa/bCPhYtQdTbixGya0E/F87CQXLqzS7fxm46sBFolGjKoNFCgZUJhscmLZywcltzlXVgxVw4cCKKE+afhVoofVA80a9J3HvNXnDfvM5kwuqpafadxEnBfzif7+3HnvnleD1vnRgp1cLR3ozcHV9Mb45fzbe2z5adw87vXhnezJ+3FSBnZPmo6dwCeo8bRqJWFcxBbcG67C+cgp6CpegJbmDJVjitxlp44CkmQkQbVMqYE7LR9UeuP5G26SqP4o64/oh9z3OnMesLcp548iXqHeZbJq1a9pWL09rwcdjnPjFmGI0eTsR9LTpSMOqjE7TcccqcG2W5o+rAxURyEtswNasGfhpfrHOFOi13CQdCdiYWmpoV2Zj8VCJTQBsGQ5iEwBbRoycynMA8hIbcFHWdPyqIGAgAGJykb1L0E1mZpNYJNfMwIYMRrlJk5vgQ+52VE9u0Z3w+8sZ+kO+npyegGk3DWz4zV84U6clFOCCpoVuzFQBCxVQoNrtSMGg2W9qb81t8JTjpDbp8nUOqHL1Ia9aqECL/D/dA0DbDVfW3PNyelQaYpqOluQO/HzlRGCnF8f79QCf/rYK729PwXvbk9l7r/Sl4v7TgvB769k+Qe3bOTt5SgBoe+A8BnGglqs7uioRKYClZMysbcj3af7MxgIzomrVD2h/4ggA907I3Y7OxMX4V/qAh6BvVOaheH+Z3gnA/nJMX9aorR5wK2RmBIlru6rA5V/1bF5iAxamBHFByjIsTAliSlIIr48f2A/wQY4Lyz0rDCRSVZZDJTYBsGU4iE0AbBkxcqoIQCBxHn4ua5IiCMLrT627zTBJWWncIg1mxEL1bJM3bPdfsLwaJdeFJ/HJh0rwk2CSDvw/XRGPquuLWD//VpM0XQEw076qNH4yOKLAiiM3KiAsx2lmLsHFJ77LpZHzUGSmSVRpp+XnVScBy8+2JHegNVCFqyoXo6dwCfzeenaFha13Uhby9UO1MwcF8j9pOHGSTDy6MqAzLeLqmgtyHoTHKVmzTcubI1Ec0KTlJBMJ+r9Zu5DzwtUht+ohtyeO8HBkWNWeubxy5UeJk+obvsT5WOVZjrfS4nTjwzXnZOjGBrF/KNA3xWBCpOrfHMg2I0Ncvzcb71TvX5TcoBGAFwt9+NKoNtPxTL43VGITAFuGg9gE4Assv/jFL9DR0YHi4mIkJCRg/PjxaG5uxrPPPmt49plnnsH8+fPh8XgwevRorFy5Eq++avSJfPz4cezevRs5OTmIi4tDWVkZ7rrrLvb7kcYZqZyKQXWeezWeLCjSgfs/FBZERAI4rz+RTFicBjFSoG85EdJNv4dL8MDpybrJ/Y9lcaZ+/q0mdGrLHukETcGPFbBVgSJqhkOBXyRlpjLBoN+3WqmgeVHVY0dmt2HvhPy831uP+08LGsxz3urLxN31NajztCnLTC6r9tQNWJ7UqSurluQOvHNmMk7UuICZLmB6LDAlFqiQQmUsMDUWmBELzHYBdXE8yL8wCehPiogM7Kkr0YE+kdY6Txv6i5vRPnkq+oub0ZLcwda/7HJWZXplpU3m+phKU01N3US9UdLA9WWO/EXynFk/4/JLn1O1N5kAUALFpevStDPxbpZTN070rx/LewRrqrbsF1ZlYTYempWbqhxp/m7K9GFNymR0ZHbjsZoFhj7Kvdvk7RqyecUmALYMB7EJwBdYmpqaMGbMGHR1deHmm2/G5ZdfjszMTHg8Hvz2t7/VnnvxxReRlpYGv9+P/fv34z/+4z8wevRoTJo0CR999JEuzm3btsHhcGDNmjW46aabsGDBAjgcDtx999265wYTZ6RyKgbV7+RU60C98PpzxD+aNfkRXn8O+yoMXn+sJncV8LACByptF3eNbvq98cx03aT+0sRY1O7Xn/BbergUZfsrNM0e9w158pQJgNkGZBlYcZO/2cRv9SxXhqp6UE36HJkwc7XJebdRARb5Pa7c5O/Wedrwo3MmmJrn/HDlhPBm3KROrEk6D5d4luAidxEeck/Gf8Vl4IX4dLztcgOxDuzLWon/mtqCf5xbhv+bX4vv1iwC6uOAWEfkwRvFA/sSJxDnANKigLyYMHGojQOWu4F2D7A9SVsJONKbAb93YAO5ag/CW5szcXV9Mc4umoH2yVO1jcmizKyAshWBpiCa1h0HpLlrlESYvUvbqBl5+6RE1moFQNW/OI9PPm8Dzt+Ujw/HRmljxbFMBzZsmWBYCSg+UG65CmA2DqrKiOs3kcQlB4cjxlC/u/PW467SL5mOo+LvUIlNAGwZDmITgC+w/OxnPzOA7eeeew5xcXFYsWKFdm39+vVwu9144YUXtGs/+MEP4HA4cOONN2rXXnrpJcTGxqKjo0O7duLECcyZMwfjxo3DsWPHBh3nYGSoB9Xj772n9yc9MYC38rza8vFHObF4lqwGPJZfhCsz52vg3wp0UKDBTTycRpvGRU+n5Z6jm34vXTtWB/5fz43Bgj0FrFYvtHwRC2A57aPVScCR/E/LiCNHHDhSlbNVGcvvcy4lVWYm3Peoe00un7LGm5YbzdfeeSVqTfrmRGBRPDA9FkdSvfjA5bIE713xi3TpbJ88FVgQPzgCkKYgAL6YyN4tcgJBF27NCZ+M7ffWa3sQThCSQ39jpxev9KbiUO1MJLjGsm1CEDLOrz9tU1w749q5qo1SwM21rUgJRCQg1oqkmJEdEagJEA00LY2VK1F6Wym6+ybgWObAmPF+dhTOvCzPMF4Urp2mIwFmZajKK11NMRtHVfssVP2QPv948HR23wJ9d6jEJgC2DAexCYAtBqmsrERlZaX2OyMjA83NzYbnCgsLUVdXp/0+ePAgHA4Hfve73+meu+uuu+BwOPC///u/g45zMDLUg+prhw7pwP0LBfoDv97OSzSsAAivP9yEpAIY3KRjpY3iJieV3bgIeRUhbYJedFWBbiJ/j5nIzex6zQCRsMumYNosvSpAZjaZcwBMBcbMiAgHIlRgQnZfqQJt8vcpQZG/7/fWozVQhWunL0FroEoDs/J3W5I78HpfeljTv4MxrelJHBxwj3Xgkrg6XZ5aA1XAmW4gOxrIiQHyY4CJMWGQLkLACRTEhLX6E6LDmn6OAKRGDSotbxWm4+c1C/HjRXMG4uhPAi42NyMSKx8Pnz0adZ6wDfemLPVmW7M+RzX3tJ7MQLLqNGAV2FeZGnHtXgVGuXTLfYjTjtM2TDcBm7mODbnbUV3dpI0LVHFwJC8G868uNJCAGX1BBD2821CzcrV6zqpuxf/c2GM2Fj1ZU4/zkpab1vtQiU0AbBkOYhMAW3Ry4sQJZGdno6GhAUBYq+9wOLB7927DsytXrkRKSor2u62tDR6PBydOnNA99/zzz8PhcODAgQODjnMwMpSD6omjR/Fc3TwN2P++sBAf5cTqDvx6rjDfQADWJLcYwIAqRKLxs5okuQmRTpxBTxvyKoOY2DlVN0FftjYLxzLDS/nrt/oME3jxwTJMX9aILRM6lOnkQAjnmtGKnKiIDwX4ZmRABQZUgEquJ9W3ubKVgZwKhAlQJb8ryMO6MRtwzzI/3tqqd6n5cu8o7J1Xgq6ssI1+sacOd0yYBVS7gKzosP09BcP9SUASD67fj3XiGVci/jsuA990leJwwmzs9ZyG5fErtHSuTuvWSAanaR90+FICcEZ8eI/A1NgwmUhTk4Lrx+ahztOGf23OGDBv6k4E3A6gMAZoiAPWekz3FdxSO4ttK9xfuY7kNsWdS8D1VY4cWBFMzpxPXrHjwLvZu2ZtnxIQ1RgjzM1U+aV9Q6wAqEwHny+NQzVxGiD2A1gBdbM+rCpPqzrgyJTZ+Lpt1Hy86UvE674kBBLrdN+Sy3SoxCYAtgwHsQmALTq5/fbb4XA4cOjQIQDAL3/5SzgcDnz96183PLt582Y4HA58+OGHAIAFCxYgLy/P8Nx7770Hh8OBbdu2DTpOlbzyyit4+umndeHBBx8cskH11QNf1QH71/wpOu3/P/IzDeD/l/lFygO/OHCiCmaaQQqGuQlc+9/bgILmapTcUGaYmEVYt82n3MyXVxlUTrpmkzjnBYgDMDIIVYEoK6Bg9YxK28eZjKgAlxn4koG+nA/Om0tLcgduravGRxfxLjKP94fB77PTkvHTuBR8HButB8xjonkQXOQExkUDU2Lx3ewAViZMQXviKoTi1yg1n9Qv/d31NUPm6YcNFyUB6z1AsxsIuXCi2Iljo6OxILEK/cXN+mfPYMyRkqPCG5PPdGv7CESZvdmXqdtLQAknJY6q1TmuzahIIWfuQ9uPynadM23hAKtZOszavaqfyde4vRNyug2rXN4GlB2oGDgQ8HAJvj1/lI4E/GyWB2W3lhj2DgUZb09mAJ/mwYygm8UR6XMrRk/Rje3fHVupJA5DJTYBsGU4iE0AbNHk97//PbxeL6qrqzV7/UceeQQOhwP33HOP4fkdO3bA4XDgzTffBADU1taiqKjI8Nzx48fhcDjQ09Mz6DhVsnPnTjgcDjZ82kH1+Hvv4ZnSMg3YP1+QixPSBPFerttw4NczEwO4MGt6xBO1mRbPDDhz73JmB0FPGwKbpyiBv2mQNv2qJk8zjSF1Z6maTCM1tbDKPwcYhEZXBTjMyl8FmmWNKQWA4tAx7nsC/IuNvIbQ4QlvlB0bbW0205fIrwKc/L81UGVZX5ypSp2nDU+cU6wzr6HmNkMdhBegHeWN+nuVseZl4HaETZCa4oFt4bz3Fzcb+gIHfFXAnduIrtrATsG6CrCr+q8cD60HlTtU2l9onars5bk8CgIgt2XV2CR/e/qyRt04UXFLMZ44eXbI0awoXNyRzY4nM8tblWniiHckwawsreKj9bbc24nHs5O18f14ThTqR81k3x0qsQmALcNBbAJgCwDg5ZdfRl5eHsaPH4+///3v2vUv4grAS9u36w74ejc3QZscTuQ48KeCHAP4/3l+MZq9HRGDgEjBv+qaGfjwJc43ePspPVxi8OtvFoQrP6uJmfs+dc1I/7cCKxToqE78tQJgXHpV2kT6vpktNXfQFAWNNI+shn1VQtju3gL0Hx8djRNTYsOAdztvCnO834s3+jI13/rUZEUOIm8yIGzydqHO04Y9dSV4pTdVF/cbfZn4yrxi7KsvwjvMAV+DMR06IXktaknuQJO3C7vLyQrAOk/Y9KcwJgz2zcon3gFMicWO8kbTfiIDYA58cySVM8nhADnX5ijZEM+rtP80TVaeseQ0cP2f+y1/g9sEzOVTl1ZvA2b0BXXjxOyDATw11Y1zd+Yqx5KG2Wcq86yqMzoOqPqpWfnTa3RDuPxu/aiZ+NgXpY3zfxg/FiH3GsO3h0psAmDLcBCbANiCt956C5MnT0ZKSophA+9g9wAkJCT8W+8BOHH0KP4wZaoG7F/KH6tbHj7iTzGA/6cKAjjLu9YUvJtNfp80KO3qvQ0oPlCubeItva0Uu1ePwUsTY7Fsl99U8083/ao0phzIEEHlYYQFFVI+VAcoqYCA1TdUIIpqXc3AEn2H08Kq7LbFPb+3Hm/2ZRg16es9PKh1OQB/DB7ILEFtwiwcmlsdEbi+a16NIY0yiLVKp7gn/PBfVbkYrYGqsHtRbxc6MrtR52nD2cUzsLeuGN9omIOHl5bjSK/ebec725Lx/vbRbBrf6MvAnroS7QAzX+J8dGV14tW+VH6l4cIk4JyE8D6IdMVegspY/PK0Olzq6zCc8EsJkApwcqZfKltzLg6ODFIzPbmdqjaomvUVFQlQjSnyd2kboB6nuPZAy6LJ24VVGZ0obJ9uUC6YKRMaK1eyigSrw/RU11TjXyRjq9k4cn1Gjm6sv3GMMV1DJTYBsGU4iE0AvuDywQcfYM6cOUhISMCjjz7KPpOenq702FNbW6v9vvbaa1kvQHfeeSccDgceeeSRQcc5GBmKQfXdxx7Xbfw9muPUJoSjOU72ELAzUuZENMFEAvzNNHKRTnKyt5/S20qx+uIczePPe9lR6O6bwE7UxfvLw5v2iL9/q3zQa5QAWOXdDKQOFvBw5cdpejnwJUgDBxpVIERVVzJ4vDHQCJyXwAN3sQIQ7wCKncCyeGBLWMt/VeVi+BLD5jmPrgyw2vbjRKNOgZFctqvTujVTJa48KAiUQRolFTKAbUnuQE/hElxVuRj9xc1Yk9GJOk8begqX4LoZi3DpnDKsr5yinVwsf1PsRbj/tKA1yek/uY+gNi68KfokAXi7OVnzBLQ7bz2uyV+HxvhV6HWXYm3qBkN9yG1tMGCTa8cq7zlyWdKVNG5VhgP8Ii7ucDGz73F+/Omz8pkTVn1NTrcvUbgTLtMpGMxMCeU9AFaAXNU2ubRyZTHYsVcmIUWJdXh1vEcb79/yedCYsEr3/FCJTQBsGQ5iE4AvsBw7dgyLFy+G0+nEww8/rHxu3bp1cLvd+Nvf/qZd++EPfwiHw4Hrr79eu/biiy8qzwHIzs7WnQMQaZyDkaEYVN/+3vekjb+pOo3QS/lZBvD/eIF6469ZUIFc+ozZ5lRusvQlzod/Vo02CdddU4jXc2O0jXofj3Fg1Y4cw2Q9bVmj5rKPA3xWaZfBBz0HIBKtnGqi54A1/Z/7LdK9bZz5ibAU6HJBtVdBRRBC7nasTu1CX9zp+G1CDk7EOoDMaN6TTasbWBoPbDXeaw1UaWn3e+uV5jl3zavRwL9cFgLsc2CWaqC5OhBkiAaONIj/hXcbuZ7oyg4Xl99br5GciPccbPAAdXE4NHemIf13j5oLxDrwr9h43O+uRJWnxrB64/fWo6dwCXaUN6I1UKVtJDZb9bLqf5xWW/5L803Butl4IMqXftcMHKvar+qsDiuiIf43mBiS0HKFHw/Xj8K8ZQsMbUXVd2h/k68Pxqbfqgy5tIjfHSnlujH/4bGVWJgSxFlpc7AwJYgTR49+4rllqOcqW2z5tGITgC+w9PT0wOFwYNGiRbj99tsNQcjf/vY3pKamwu/348CBA9i1axdGjx6NsrIyg62+sOFvb2/HzTffrJ0EfOedd+qeG0yckcqQrgAUTtQd+qXa+HtzdtAUHNMJTDXZcpMWB3C5+zQusQIw+ZZiPEbzbcsAACAASURBVDXVrfPUsasti/f4UxFSgnFVelQTLT1lVEUkrICLGYhSgRe5nMzMdbjvcCZIKjtxGcCJv03eLsyLPx9fjgvhxbhUo6nKuYpVAMZO/o2+TLQkdxjKsSW5A7vLm9E+eaqmUaftg25EFoCfrrRwKwUyIKUHoqnKnpqZcOUk4qArLOKZjsxujeQc6c1g9zhwvx8+e7SunJq8XQjFr8EfY/Xlfzw2Ct935eP8+CbUedpwqHYm3tqs/86R3gzsnVeiI1OqwBFks4OraLmZ+ainYwndq6Fq91x75dq7TACsQLIqBD1tqOidg9LbSg0rARdvyNZODP7P0SXK/kPzZDWGqoJqrDIrW26sDT+zBk9nZ+s2BP+xMG/gJPhZs/HqwYOfmgjYBMCW4SA2AfgCSzAYVHrScTj0TePpp59GQ0MDEhISkJycjBUrVuCf//ynIc7jx49j165d8Pl8cLlcKCkpwR133MF+P9I4I5Wh2gPw7MxZ2oD/14Lx+CA3jt34+5vCIrR610c8SdGJSJ4UrSa8wWi4xIm/ty9N1YH/7zSMMtjrlhwuRfH+Mk37r9J2c0BcpbmLVLsYiSZUDjLYpuViZuLBxcsBeApKOJDHfW91Wjca4ldjf9xMvBXPH8x1Is6B441xg/KQI2vq5TKQgTrVtKvqigNMqvbHbZalz3JAnqZH/itWJOg12SxJ5FWYD+0ob8QlJU24u36OYeXjSG94L0GCa6wuviZvF76U1Ia/cQTsZHhtQjxwfoKSVPxw5QTNVEkFXun/tK3RdmPV3+k92pY5YmDWLynwpwCZugFVmcnJRNGQJ28DQssXoWx/hc4z0PPFcbpxZ2/yaYY2qFJecO3VSnnC1ZPViqnZGN04qhrHfQOrALoDHwNFeGZiAH9rX/upSIBNAGwZDmITAFtGjAzVoPrqwYN6sM9o/p+ZGMC2rOmGA33Mgpk2ygysRTJ50Xtbayp0k/BzZXGYdlOx0uMPjYPT5pp9V35GBhfUZGd1WrfBR74qv9yyvxWBsrKvVmnAPykAKfTMw11JNXjLlcCCzVdjXbg63o8HaqoiBv+PrgzovPlwAMyMTMnAmuY3EoBnBV5peclkhJIvbuVALldKHlRpFeY6dOWD8zgVcrfD52lAd/wi/I8rF8dUHoQKYoDV/KqMIGByXmg7s9IyUxLJtSmubavKSlVHXJ9RjRviG9wmYK5+Oe08vRb0tGFmeSuqq5uQVxHCtowVeC89Vht73s+IRU3SbLZ/me1XiCSYEQizscWsv+/OnI838pJ1pkB/KZhgGP9fu+66z32ussWWTyM2AbBlxMhQDaonjh7F39rX4pmJAfyuUD/oi9+HfRWa7X8kWiw6eUZq/mIVRDxBTxvyKkKorm5CTdkMvJ/h0ibgd8dFY+FVBSz4D/RVYtlJkwcz7VkkeRP3zA4Z4gCfGdgR92XioEqXSgNITYLkOKi5DGcbz4GVJm8XNrpL8a943pPPX2KT0ecuQYGnHqvTwt5znvoS72dfhA8u8uLWupnahlYV+KTtaVOWHnir7PuFFj7oWYvpBRfCF7oYvtAO+GZvw4zaffCFLsb0ggsR9KzFqvQezMjfjtpJl2NG/nYEPWt1Kw9Lk7sxr2gnqubuw6SavZhecCGWJuuJnWxWxGmYKTmkKy7it0xkuLbGgVy5rs+MPxP3uUrwfqyTJwIBJ7ApUbcScKQ3A3UnV8Vk164q4KkCymZ1yK1a0XZpBlg5IkiJnYq4UTM9q/GKu8et2on/L02q0ykg/p6Zjnr3+Vpa5P0pZmSIpl9FECLJi9XzIXc72tI68bP8YvyhIB/HcqKBHAc+yonFXwvG6wlAoAjPzpr9iVcBbAJgy3AQmwDYMmJkKAfVE0eP4rXrrsNP84t1A/9P84uxNWuGBv5VE+QnmZQG864Iy5I7ULC8OnxK522lmHyoxGD3v3nDeKPHnxvKULC8SuehY7DaN5WpiAAXMhCh+aKTuhwf1UpTQCMDUQ7gcnmQ00o3x9K/MkmjRE3EsztvPf7qm2gAky/EZ2C353TkeBoMeRB+9t/oy9QB/7e2jMYjzZXwxmexgI4SGBlUy/mg5SzSrwFFbyN8c3cgZ+MD8G39jjr0PgTfpvt11/I678XceddgbdYFmBTci9xNDxrey9n4AKpq9yHoWWtIE3dAmnyPEoCOzG5DHuXnOzK7sSnL6M+eqzsRLvSfBoRcQCIhAMlR7PkKPYVLWOIotwMVAFf1KTkvm7KMJmbiWzLpMDNnGez4IRMnSsCsgLIZEeK+9/XR43Xj0PfSJ7Ppp32ZW3myypsZUR5MWJgS1Mb6l/Mz8bI/A78vLGRXgJ+ZGMC7jz3+uc9VttjyScUmALaMGDkVg2qtuw1rkltwVtocrEluQV5iQ8STr5W2ij6nmtypNlu7521ARe9snQ//G89M102635yZBl9yPfIqg5i2rBHTljUib0pQc/VJ/abLabE6gIs+L9ImEwArwKJabTArg0jKknOdyIEK8axKC8kB06dPmwtf4nycHr8KR2LDp9b+xuXFtrjT4PM0GN6jAKsluQP9xeGNvLL3Gc57kiA1lPTIRIeCR/GsvL8h6FmLiS2HzIG/Wdjy7fDfrm9aPltx1mFtxUBuJ7R8uYOZ5Hrg9mXQuqGabJVZTsjdjvbJU8PgfmsSMFciAovi2RWZa6cviQiAcvVNA0ciVO3RrM+pnlXFrTIn4lYAVKs0qu+pylxcq3evxh9T9fuQrkhepIyfGwtVfdxs/DUrR6v3z0qbowT7XHj7e98bNnOVLbYMVmwCYMuIkVMxqFoByEiCCgCpgITqGfr89GWN+gN39hZo/v6R4cDzpXGYelMxpi9rVKZdBW6swIpZGXBmGfL/1AyKgg+u7KjGlbMdVqWPyxMHKEW8FAgtjj8Xm+JOx+0l52luRUW4OmE+2t2T0ZTUqWmtuTLjzDGolprznsSViww4qZmNbAIknl2d1o25866JGOznbn4IgY33ovSCe1DW8w2U9XwDJRd8E4Wb7kPOlm9FFMfceft0REzOs0xSuLYgp1uuf7m85NUmTjPNrZpcU0FOHN6SBMyLAy5m3LNuTsTXxk6Bz9NgCUTN2qB4V94rpOo3KpKgOj2YA9CR9mUz0ynuO6p4uTFOvLM6rRvneFrwQbpTG5PeyXCjJ63N8A73fbPVVbNytBrTzPIorwBEEuwVAFv+ncUmALaMGDmVBCCSYEYKBqu14iZGeaIKetrCZj/EBd+GLRNwJDcGH2VFYdku/0kvP+XweRsMgJcCYpWGTAU+KAAQ9+SNmao8qeyTVaSDAkUOTHPvqcgKRwBo/jszunDYW4t3XfE4GheL85NW68AoNV3hQJkK1Ii/m7IGzFpEuVHAJ76xNLkbM/K3Y1rpTtQH+jWbe6Htl78nQkdmN5aO6sKktluw+JyvYP2Sbdg2v5MF7Q8V1eCjaCfgcJiGD5wuHHF78XDhTDae5rO+jMYz92Jt2noDCKZ1Sds1JQWCVFHSIIJsAkRBtrxq0uTtQktyB38iM+Ny9KMKNxDrwK9js3BufLOuToUr1munL9EdbsblhWuPqn4h1518nxIhVf9VjR1cn1K1NbO+zxGTSPrZllElulWA/8vIRci9xpAm1Wog12+4co1kzKFx0mu17jY8ll+GpwstwL+9B8CWESA2AbBlxMipGFRdzuxhGUaV+JSH8AS/GkDnZv1pv6NKfJ97mv+dQpkzA//rdOlsxb/mTPh80uMaj5TZazCu804d0B7XcSdSZq+ByzVeezYzJgsN0Wnoix6Fw1EJ+LkjFm8QUP9RtJPV5D9YFLQE/3L4Se4UlgC84hmtPfN3RzR+HOXCdVEebIhOxqyYdIyKyYooz4k5c+ENLERizlxdHj9N2BlKs/bE1O7BcaneP3I6cIUzCcmxWdgZSsM/e0fpnn+5dxR2htKQ4Br7ubfb4RnG4oHkeB0JaE9IHgbp4kNHem5E2n/bC5At/+5iEwBbRox8kQhAynTjab5mIWV6zuee5n+H4HaOxcVOLz50Gr3FPOiMh9v5GYM813hkNn8Zvq3fwQRhh38yiN+nzV2Pu6MT8CdHTMTgvbLzDgNwv2PyaYMiAA8WBQ1xFPQ+YPnexw4HfuNw4paoBJwfnQxfzBhdfiMlO58kJLjG4uGzR5seLvZYXSJeio021P87qdFAm/r8gIfPHm2TAEXIih2Df6RFAxkOHEmLQrM75XNPk7KNOLNxw7h8PDMxgKepC2j7HABbRpDYBMCWESNfJAJgtgLABXsFwDqUOzPwS2es0aWnMwZnOD8fwJIye41uI27e5ocMoHtFy+WDAu6vJiSjtu16QzxLV+7BBQs2Yd2SbTivqR/nNl+KFS2XY2XLZTi3+VKcv2wHNizeit7TL0D/vLU4t/lSQxxz2m8eVFrgcOD86JPa4AjITubyXUNCAvqDaXiZ0eT3B8Oa/NHOLOxzJuJjSgRdDmCOC7iI2Tew04v+YNrn3o6Ha1jsTsW3k+MxPnbM554WyzbizMaGtFw84td7AHp21my8dt119knAtowIsQmALSNGPo89ANymMpVNq8pO1sy+XrZ/Fs8EPW3Iqwyi9LpJONSchrXbTcjA4VKU7a8In9ppktZINxSq7OXl/LqcRm82ZjbGKk8jNF7ZBlpVB2ZlrnKdmeNpwKXxE3E0NkYH9o7FRuFb8ZNxWvx5SptrOf2yTTFnE64L3kbMK9qJ6rn7MKlmD+YV7YTLNV6Xh1XpPSjquAdntV6BW6cswgujMnFp7RoD6C7puQfHoqJ1oPo9Ryx+H5OF/4krwaH4OVi9cDtqz78Ohb33G97/RN6ATEJJzz04vXUPbko+HXfGVeF/YifihZg0fOyIZgnAdeNWYFNWF1afsXtgH8HZV2LfrLPQuOqA4Ztz5+3T+oXLma3VLS1zro7kOvB769EaqMJVlYvRX9yMluQOnU18k7cLpydU409x6cazA8ZGA+s9hpWAI70Z8HvrTTe1c21TtX+EurVVeRui/Yu7L28QdzmzWZt4s34qlyXdcB3J2EjT+fE3klg3p1x/UY05Vt81KyezsUncy0tswMKUIM5Km4PetBWfGvgLsQmALcNBbAJgy4iRz8oLkNXkQydhMzBtFg99NuhpQ0FzNUoOlqH0tlKs3+rTbGofOD0Z1dcXsSRA9gLETXRm36deV1TvyPcoAeA8hEQyEX+S8qObJTmPH/K1qZ4QnnFPMAC851webEtsNpxcLIN9OY0U8Km8oqxK70F5cC/ri3/8xnsRmncNahPWYK/3DPwkpQJvxCfpwPL/5FayoPubpfNwR/J0bIibhK2jz8XypE74EudrXosG4wVoKILwAiTn3++px2nuavTFleBO5zg8H5WC16MT4fM0YFV6Dwq67tPA/l3lDVqeXxiVietnNOH0Vfvh2/wt+Drvwar0Hm0TsEzufInzdf715frhyKPsQUhF7s6aOAOojwPiCQmIdwCNcUC/fjWgv7hZ2Y85oC+3U3GNek+ibZkjl5H2F9FH6QZguqmXA9AcEI+EwHPv7MrdgC/nr0VeRQgNs89EXkUIqzI6TfMymLF4MO9ZjWni/6ESmwDYMhzEJgC2jBg5FYOqldeJSCekT0Ig5PeWpqxH0e5JA6D+hiK8XDDgXu/tCdGo3T9Ru19y0jtQRe8czec/TYcV0DYDMPLkTjV4QrvIaf+oRlIGFWagnQJwDsRFki/qHvKP7rE6UHc81oEH3RUo9MwzgHszF4WcVla+1uTtgs/biLIzDytBc8Pqa3HTtDNwxD1KaS7zYUwsJm66l31/WulOLd9N3i7Nw5A4/Xfq2epvR6r5L+i+z/LZiS23aB6K5LoWXnpEXYfc7WhN2gBf4nzMyN+uvZ+z5Vv4Z2IKm//nUsfjyuCXsK54o8ELkPgb9KxFfaAfvvIN4Xi9jQbiR+uJazci7ChvDIP7DR5gnHFvAM5L0BGAHeWNbNuj7dwM4Mu/VXFxaVWRAto+BXHi+pPZeGA1ZqlIFI1vfVYnpi9rRNXByVi8Ox+lh0tQelt4tbJgebU2ZqmIhVnZDDZ9XPyqehkqsQmALcNBbAJgy4iRU20CpAKTkU6SZuDaVHPnbdCB/9LbSnHH0hSdV40dG8bqT/rdX47pyxqxLLnDEKfKPMHqN72mmpQFuKDA2OxUU+40UDOXfhwQ4Cb7kLvd4H5SaPV35W7AV9LPxNGTGz6PuBLRkjBNqdHkiI8McLi86fIRutgAlgMb78WW07rw66wCUzv51xJG4Z6yeWg/40IU9PIn+dYH+tmyFQeJBT1rEZq3D7kbjaf46kLvQ/Bt1JsKFXTdh+rQPpybcQFC864x3PdtDZ8EXF+/L3zicOIA6Bflwp3ArGnmyzdo8ZT1fAP/XVCF92LjlOVx3BGFp+NycEZ0Cmrjw37llyZ3o3ruPuR1EoLUeQ98oYuxNFmfFrmcZI277GY05G5Hf7F0fsDFSUBQ8g41I9awD6A1UMX2NY4gqkC6KBduxYnWseg7shtU7nA7udw5EyDVWKQiGGbPceBZhKCnDYG+KZh+QxHuPCMFxzMd6N04Xqe4CPRN0cYurm9xZkhynzMbi6mpHvdXNYYPldgEwJbhIDYBsGXEyKkYVCMG6RFMHmYTJQdcxb2a1gU6cN96eR6OSwd+PVbtQenhEpQcLkXJdWWontyi2fybTYRm2jAV2DUDMeJ52QSIgmTuf7MJmyMSZqBDRQRoPp4+ba4Gku5ICuInrlyUeWpZYCV/XwBamhcKQGRAGXK3Y/2YHuR23muwZ+9Z2KsEuUei3PhaeSOaz/oycpnNv7J2Pq/zXk3rTgGtCNvGdZ0EYGsxveBCVM/dh/LgXlTXfAXlwT2YVLMX84p2wudtxNLkbvgKV8NXvgHnVfbD523UrYRcMLYb0wsvRGjeNaieuw/zinYi6FmrA2gy+aJ1I5tWhdztWFq607iSsOletC+9EA8WBfFubLyynN50JqEnfiHKxeoK3acgfrdeGyZBpM3Qg8Tk+6vTulHnacOrfal67z+rEoCAU7cZ+ES/F6/0pur2ElDwStsxNxaoxgRatmZt3WzsEWdOcGMXp9SwWs2j4wC3YiansWB5NUoPl+C3lW5tDHvV70QVMWEMLV9kSI/cJ62IhhkZ4a5b5cuXaK8A2DKyxCYAtowYOVUE4NNo+iN5j4IEXUiuR8ktA5Ni+a0l+F3FgE/tD8dG4fQ9BbqJc2Z5qwGQmhEMDmAMNl/y+zK44ACOaiKm8VhN6CrQT8Gd+H9N0nlo8nbhxTMrNSDkS5yP1aldCMWvYYEMjZtqD8VvWVsb9KwNm56cNEEJetaGwTQD3gt778cRt1cDs+8743BfyVysaLkcZ5bvwKSavRGZ6FSH9unyLKdvU5Z+tUIO8rMUAMvAWGiX5Xjkk4/lsqN29fTbcvzCXn9Veg98XfcoNxkHNt6LrkV9+H85FTjuiNIRgBMOB65paYuonCrP+RqCnrWWoI+m91DtTOvzA3Z68XTzdKyIb0WhZ55lv7Ey8aH7AELudmzKCpc7XU2R64BbTaP5kU2nzIiEigxQMhdy68kxTZN2zduA4gPlKDlcis0943SrmHedkaIzYZx0oBLLkjssxytVPUYyXqvGY65sQ257BcCWkSU2AbBlxMhn6QXIaoIxA6Uq4M9puQvXTtOB+yvas3ST5rUrMgybfv2zakwnMxUYUT1jRghkMCnucV6AVGlQnURqVr4qDSP3jPhuu3syPop14jc5U1lgJf82Mw+g93Rp8Taieu6+8GZWCXTmdd6LdTV9uKyWB6kHq5bjt5l+bJ/fgZILvjlwr3wDliZ3I9Byi6lme9rZh7E02bhZWQaDtJzpNfl5ml/5Oj2VVgaX9Ddn4kI142IloMnbFTHZWTGnH3fHzcDr0YmAw4HHnbm6DcQaudp0H1teZa236sqLtgOurPzeejxxTrHp+QE/XDkB05Nq8H6CG0/HZuD8pNXwe+uxu7wZV1Uu1k4NpkSItmeztkhBNQfyad+gccp9VNW/zUyOIr3G/Z9XEZI8lJXgZ7M82lh2PNOB5iv8urEsryKkKwvVuKAauz7NdS5vQyU2AbBlOIhNAGwZMTIcvACpTFo47Ro34eqCtwHF15Vpk2HNtQG8PSFamzD/UuxCxS3FBgIws7xVCe7pdTrRcSSFu85p+jhwEenESomCqqwoCOdAkw4QJXXiDnf1wKmusVHojF+sy4PKxEkGqFzaNTtrbyOmF1yI0vPvNAD15WdfiZ+PLwUcDhyNjsHMdbcaAG1+3wO85rtwNZq8XVia3I1JNXsMtu15nfdiUs0ezfSGA+qUFMirAfQ5mTBQYieDYln7zIFXERclCjTIwG51WnijcnnrrRZmPF8NrxYkzkdtfBuWR6dge4HRNaq/70H8afRY3FcyFzXtNxnuT6rZY1j9CLkHtNicprvO04Y9dSV4pTdVRwDe6MvEXfNqMD/hPDwTl6W1tfeT4vD6l/RnDbyzNQ0/aqpEQ9Jq01UIrm2rCKuqf5gBZq6PqvqmVbAC6HJaq6ubdGNV494CfDg2ShvTnprqRtmtJQZlhtk4oEqP1RirGu/M8jpUYhMAW4aD2ATAlhEjn8UKgBkwtZogzSYheQOfCDpt2W2luHfBaJ32f82FRv//xQfLNPt/FZhWAXI6mdM0RwoKqBcg+n0zoMCVzWDIkwz+6+Lb8LBrosFry01x0wxAi6aNSzslHqvSe8Ja6657DABz/nlfxY/zphjs1Q9XLrTWcm/5Nvxd92mbVrX0eRvhK1yN2kmXY2npTh3wp3mQQaAw1aEAX35W1sSLuFT7HeTvyBus5fc50kQJCQWrTd7wRuXq0D74O/Xae7EJWeRZvONyZus2EIvQ19ijlfnR6Bh8veJ0TO24XSvfgq77NO9AKjMoWrbimnx+QE/hErScNFOZ6gnhGVeirq2d8DiAcxIMpkJHL0rG1fXF8HvrDW2ZI7Jc+5bTS/uGTAQ5wCsIAEfwOLLBtStuTKR9hPZfOqaV3laK689K141rF3Vm65QZZmOwGeEwG3fps1ZkQvwdKrEJgC3DQWwCYMuIkc/LBCgS8B/JpEV/+2fVaBNhyxV+3cbf79d6WZ//BcurI0pzpHmi1+T0q3ynq0yAzCZelWkNd4+Lm35jRdJaPO4apwNjH8VG4wJ3mcFshZaDmTtS7a+3Eb7Waw3a6qkdX8c3yuoNdupwOPBmfCKuCPF7ATibfrpCoQLxMrimqwByXckgjgJ1uS4EqKfxyHFw/3NgkNYxBbVif4GIR/Ma5G3EjPztGtkRm5ApUXM5s8PejwiBei51vKH8342Nx97ZKzTToPpAvy5NMpmh35EJEbdiJH4Xe+rw4phU4+nBS+PZPQOPrgygztOmq2euXFX9V9VvVOBXxEk3AcvP0utcnJyZlNlvrR14G1B2oAKlhwfGrKk3FeOlibHa2PZanhPTry/CpAOVOmUGlx7VOEyJlNm4pxr7uDBUYhMAW4aD2ATAlhEjn4UbUJWmiJuQBgO+OQAla8t+NDdJmyA/GBuFhqsLjdr/q8t1Pv/NJjYKXLg0UhtpCkgosJO1iyotIgdW5GfMNJocoGnydsHvrUd/cTN2lDeip3AJzh+1Gr92eXUg7K3YOFzkabLU+HFaSzk9Knv1/L4HsCu0Cu+43Abg+XacB3tnr9Db95ttVD3rsKb9l4Eh95uSA5FWGczKWl6ZIFBwTj0HiXME5Dg5cCqvHoi/4l2aTlqunPtNeSWBAj6qsXY5s7E0uRt+sgegev2tuHPSfHwcZTx9+EVvOtYt2YZpJf2GFQi5nmmaVH1Zzludpw1vbkrHiZku43kBDXEsCbildpayb6rGFhX5pe/KfVx+34ykc2SC1pFqBcBsbBPtZP6ZiwxjV0/veN0qwC0tadoBhiL9HFn/NIHbA8LlQ/49VGITAFuGg9gEwJYRI8NhD4DV8xygUL0b9LRp2rKq64twqCUNH2VF4fqz0o3a/0Ol8KXMU36T+waXRg5AcGnj/soEgIJJs3TQexz4oeXnSwybYhyqnYlX+ySb7I2J+DgjRge8XnZ5EUqYzU72KqBjSONJjfTCKVdgeuGFyJMAZ+tZu/DHlHHsoV03TF+G8u679SB/6VdYX/zjN96LScG9uoOrQm695lkGpzI4Ep5hKJDn/pfjoSRO9sxDy4UD6/S5TVn61QFxX6RPBl4U2HEglq4ayM80eQdOAlZtIA6uuRHfnjibdR/6S08eahJma2mW61/e0Cx/n5IU2lZ7CpcMtMXT440kYI5Ld3Lw8X4vjvRmwO+t13lVks8p4PqiqHPOVa2qX8p9RyYAVmOUqt+YjS+qMSPclxoQ6Jui8/tfergEj1UPbAj+KCsKrYmt7PdUYxZHhKwAPVeuZnkYKrEJgC3DQWwCYMuIkVNFAMwmIdWEY0YAuAmZm5SavF0GbdlpXynEtJuMG3+nNZ2mBLYq4G8FzLk0qUiDClyogAg3cVMwRdMov+f31uNH50zQ/K9jpxfoTgTSonSA609x6ZjiCWnxcWZLcqAgN+hZi+q5+5BPPPuIcMbKvSy4/FZgDmatO8S+I1yDnlF2CXyhi1E1dx+WlF0Cl2u8DsCL9HCmP1QjKnv7kTcuyyB/2zi9Nl4ASBmQCzeTMgimf8U92WRHvE/Lj16X65+mnxIPGYBSQCwTAF9i+BCwQOshfgPx1u9g6co9+FXWREM9HYuKwR1x1WhJ2mBY/aHtWiYkIi1yWYfc7WifPFWv4W91A/GEBMyI1ZEA+fAw2h85QE/Lk75DDzmj+ZLLzewb3CoMN45xxMwKVAc9bShoqkbx/nJtDFu2y4/j0irAY+mFhjGH+03HVNW4ZQXuVeO6TQBsGaliEwBbRoycyoPAVBNHJNojKwBtmHi8DcirCKG6ugl5lUEs21ml15ZJvrJLbytFRe8cBD1tBjBAQWIkRIZOrBR8U2DB3Zfti2XQSMEDgs1HKAAAIABJREFUNQ+R00wndApA7q6v0QOtLg+Qogf/8MdgfzBgAG4UFMl1oyNk3kaUnaU4XEqyN/9J7sBm32fSc7D87CvVm3s778P6MT0sYBLlxpl+CHAsPy+DQQrQOdAjgDT1yiOThNVp3dgxvlPXduR46GbhJm8Xto3r0hEJ+b4gFHI8gjiY7b9QgV1KJEWZdWSGvQiVrrhNaVqVs+Vb2LhgI171JOvPEYiPwhVZqwfK3tuIL03ZiUk1ezGpZg+mF16obT7mVjfk9OpWAET4UgLgISRgqp4EXFW5mAWcqtURLh20nXPtSASOANC+Tb+hAsfcmKDqZ4bgbUBj5UpUVzdhZnkr7k7J1gjA/40pQK27jX9vEOMwHVNUYx9VTHDPDJXYBMCW4SA2AbBlxMhnvQIQ6XUK9rjJUwD/guXVKD5QrgP6s64vR2BbJYr3l+mul+2vCNvJSnb/XJrMNPzcZB5J4MCzmGhVB4GZgdPBfMfvrTeezLrOA3glAlDkxPHtSXilN1W3yZIDWPI3NFMVbyN8K66PyGZ/1rpDeNWTjMtq25BndmLv1rD7SfEdSqBkAsCRIDmNchxyHujJuzLIl8H7tnFd2oqAXLayRn9TVpeOeHDafRnIq4idfF02Z5LzTl2Lyn2FmsbIZSQ8Ton0BT1rUWbhSnTW0mtxW+wEHD9JAL45eh7+uGQmtozvRmjeNchjzLNyNj6IScG9utOWZbIj0t6S3IHX+9IHVqVEWOMBkiQCMNelu99TuMTQ3um+Dq79UhIi1zdLak/+5TYBc31EBabpmGIGwCMZi7T7CSvwWMp4LPbOwD/OLTOUdaRjFS2XSMaYSOIdKrEJgC3DQWwCYMuIkVNJADjgzk2SKo0XB7h1mjVvAyp6Z+s0++3bfZh9MKB5zKjonY28KUH4Z9UgryKkA/6q9FGAG0ngAAMHPFRaQapd5EwnKDjl4uHKs8nbhf7iZv4kVkECSp3AxUmseQVHSGTg5EsMm5NoHn6k0LRiNxpWG6/7toZP9DVz6+nb+h2USwdQyWUjAJUMZuUyU3mfkTXtMhCVQby4zsVB3+XilstJbktik68qDTQO1SqFXPYUvMqrEhy5kMmmXKdLk7tZV6L+zvvQUL9PA/HbEprxsKscq1PD78w+13hGg9kGbdqWxf+G1SnaPkMD+wCO93vxSm8qWpI72DYql5FqHFEBWm7sEkF1EnCkoJ6+pwLR3DO0f9OxU9zfNq4Lt5ecZzoGceOu1Vin8q4UybtDJTYBsGU4iE0AbBkx8nmeA6DSLEVyr8nbhYLl1Trt/pxrA3h3XDTeGR+Na1dkYPoNRWE3n03Vg0qD2WTOTZhUc2YFAjhQTQ8ZouSCAkQOWKgAli9xPq6qXMwDrJ1eoCtRB/5l8woORBu0hN5GVC6+QQf6cjc/hL2zV+BYVDT+kDbBeMKsRfB33oe58/Q+7GV7d5Ev+fwECqB9ifN12n2hFRcbWGV7fPGcvFJAAXiTt0u3+VW8J+KR60jeKyCXHXUXKqebviMTPbrhViYUolwo8KcgW3xHbDjnngt61qI+0I9ppTtRH+jXyBdtB77E+YZNxJfNPR9rz9iuXMWh35L/+r31eHRlgG+fvYkG+/9bamcNqt9ygNlsbJHbufgtEyf5nvw+ZwJkBfbpChQl94MZa0LudnzFv163L8UKqNNxI9JxOZLVgpC7fcjmFZsA2DIcxCYAtowYGc7nAJhdX5bcgeIDZTob/8PLU3Vu8c66LC+8ErB/sqb5V4F6s2+rJsZPGhd3jSMAdILlvATR37JWXg6tgSoDiDILrYEqU+2hL3F+GJyHLkZul/603crOO/CIb7LOZvzWKYvMQf9JjX/J6jsxr2in5tWHAmcZXIlyo4BNgHQKcAWgFif7it8CfMtAWry3Y3ynwRsPB4gpqRAATJAEkW5qVkTrWpAMYWok0s6tLnB1QstKJjYyAaCEieaH7nGQy6TJG97oLXt1alqxG8dOug+9dcqi8EnNct123oOgZ62OiMjxrU7rht9bj6/MK8bRi5LZNilMhH64cgL+e9pyFHrmWQJYrqy4PHL9k4J7unJC26LcT1VjCI3TDJRTkkHf5cYnUZb3TlppIJhmYypHUCJVapgFmwDYMtLEJgC2jBg51W5AzSarSDRSqsk5rzKo0/4HvzoR72dHaeD/x6Ek3f28ilDEAJ/7rXonEm0ivSfnT/zP7QFQfUv1TQooxemrO8obcU3ZEhz1OXGi2W0K/I/3e/FGXybqPG0GDaichqBnLQItRg8yS875Cv6RmKoD/x9FO3HZ3PMtNf7VoX1YP6bHAHwpuJHzL8CsAHOymY0M9inoFHEI0C825QrQLIN1mhb5f1nzL+KgpEMGhjKQFyRB3ggs16+8YiF/c9s4/iwJ8Q25nXAnGssrAPJzlBDQb8jls7R0p1Z3Ezfdi5eS0nV1/sTYAKZt+JrBkxONk5ZRyN2Oicl1+OGyCry1ZbSubb7Sm4o9dSWo87RhY8r5eCk+Ff3uABuHXHdmgNcMuNK+Rk2AKBlTjRfcWEJBO70vEzKzNHLfOj+tE3dlzcejqfnISTQqPmhbGQy4V41D3HuibIZKbAJgy3AQmwDYMmLkVBIADjgORnukmnBC7nZM7pqjA/hfa9Jr/5ft8uvu+2fPMZ3crSZ/OR+qiZebrGXgpQIAITdvX0wBHiUPMgiRn29J7sDeeSV4vS89DJ4uTgICzoHNlIv4E1ZF2FNXopzMxW/Oh3zv6RfgwxinDgi+MCoTi869mgX9M2fvwbTSnWidtFOnHZbBupxXGRCJ3xTMCo07ZxYjQKF8TSYPq9O6sW2cvs3KG49pXHI6qZaWmvgIwE+Jg7xBV/b+IwNYQWpkkkGJhsgzJSG0PDsyu3Ubp+k9SnDkcpfJyjSJAPi2fgddizYbDnR7xTMaS1fu0Z5ZOOUKQ5umIFSuj76xHdhdPnBYnd9bj5C7HTWe2fjnyUPrjsc6cN2oRh3ZbQ1UKfcH0D4otwn6jKqP0hUZjhCoyAftR5wygFOAcO9yY8mcpDn4c+pobRw8mHY6O/6YjXPc2MuNbdw4yJX5UIlNAGwZDmITAFtGjHyWewCsJhkzEqD739uA4ptl7X9Ap/3/Xp3X4PN/+ukLWVBLv6Gyv41E60WBIjdBc3mTN2aakQkOKMgTtND6P3FOkabNR38SMC1W705xXDSOX5Rk0PxjpxePrgxoQEsFQnzJC+DruVfT/Odufgg3Tltq8Bf//fzpKOv5Bgv+8zY+qJn5ULIj8idrpWVNuwDKAszKJj3y/6pDvmTQJ39LgGjxLrXXlzcHUwBLv8Fp1FW29OL7cj3KeeDuC8BONfwySBf5oaRHJptyumhc3B4IUf6tk3Ya6nRu2w14NnUCOdjNiQsWbNKtAMikQi4Hrj9xgPqchCk4GjvgvepYXBTePktvNnSkNwOHameiTuHqV46f+yZt86LcZDJGgS4HmDkiwY0pXFooUVClV36+ILEe/0wbOBzsxfGjcUawFXkVIc3tMZcGbiVDlU96j6aBpnuoxCYAtgwHsQmALSNGPotzAMwmFivQzz2XN0Vv/nOoJc1U+196WymqZi6znOAiIQiR/m8F/AUgE8/JoIxqD1UTtgxERdg7r0Sv0W+I04P/9CigNxHvbNcDpjf6MrGnrgR+b70BNIs0BT1rUR7ci5wLBuy7AxvvxfcKqgzgf+/sFcjZ8i2lyU/V3H0sABHfloGWHKjJjMuZzfrMp2CfAmmZaMgAWAbdMnBfnTbg619Oo/y/XG/y9+R0ySCOujWVgaCcTxkIy3HJ7UBuD9TUSHxDrG4IskkBvlxOFMzKbkVD7nYsTe7W7QEQoWjjf+I7E2cZ2sNXpzVj6SijJyWadzPQLIPgXXEhXbs+4Y0Kb2Yn+wV+tHK8Rmi5eFV/uWcpSTd7l7Yxs3GBe5eulNB3Ve/7EufjK6Nm6sbDji0TwuPgtZNQ0Fw1aBfItF7Mxm0u3qESmwDYMhzEJgC2jBg51XsAPg0BUGmfgs0LNWA/87oivDsuWpvsfjQ3yQD+S28rxczyVsM3VVovq0lNBc65vHHaXhl4UgJgNuFSckC/25C0Gm9vkXz9n+nWg39vFNDpOelGMQWbAot15hVyemleapLWwdd+uw7sVXTdiV9nFeiA3rux8Th/2Q5Te/+JLbcg6FlrALVymXD552z05UOt5LKjG31F2dHVArpiQAkCtSWXQTm3v0A+A0A285HBuUgnNfOhKw+X+joMIJ9rUyIt1K5fvi8TOkGaZGBN64CmTwbgIk7ODEzsCdkzZ6WBBPw4NoCWpA06csKtlMmmSDKxkfPW5O3CE/kT9O17TDSw1bjR/clV+ajztOnaFqfl5/q2/Fc2AbIaq8zGDjPCIadHFaeq/4fc4dXR6RfMxD/zndqY+NRUN0oPl2hjYdHuSahJWm26mhApOVCVg3xtqMQmALYMB7EJgC0jRk71HoBIwbSV1ky+Jrv/PHBOhk7b1Xp5ngH8F99Qqjv1l0sHZx7AadvMJjurCVo16VOzDPoMBeVUWyxs/t/ekjoAfNZ7gAQJHMU5gPMSDJ5+aJycSUvQsxa+tbcbgN7W+Z06gPdSUjrmn/dVNfjvfQiTgns1154cqJYBoAicvbVIs+yZRQbDgihQkEvNcGQtvgxu5W/KZSSTBDke2XzGLO1Cyy5rwClZoemibVQmAHS1SG4b8n4GSgC41QvaLmUyRL/b5O2Cz9uIqWcfVtb32jO24wOnS9dGnnb5sDFjva7OOVKrGjvE9TpPG97sTceJKcS8bWIMsMNIAh47p9CwsZ0SALoSQfsrt3eCjhXybzPwz63ymY0v3DhFv9fkHXCNvHv1GN24uGpHjm5MLNo9SbkSoPpfJlBmJIFeHyqxCYAtw0FsAmDLiJFTvQfAbJJTAWOVJkpMesID0JSbi3EkN0ab5H4+08Nq/wvXTjMF/hQkWoEPOvlygEWOTzWRy9dlUxYKAuR0UQ15nacNPzpngs7sAVuSwqY+MjBaatz42z55qg74yIBVS2vyAvjX3aMEeTdMXxYGdhl5Bq8vIuT03A/fot04N+MCdkWEKyuadw7gCwIgQDnVFlPtvQy8qP9+8a7Q4AuALIiEHLcoJ3nTMGcyJadB5Ek+XEzW+nObYWWQLtIhf1N2NUrbB0c4xF/ZBIiSB9oe5DqgYNOXGD4ArmruPuQyJwHnbXoQSyrPw7+iBjYHH4+PwbbR5+pAt9x35D4gP0MJWk/hkoEN7nkx+rZe4zK0dbG5XTUG0fLnAj0J2IwscGOHXKaUzKqIAzd+0DFL3At62sInoh8uxbSbivFmzsDY+L9zEg3jYsHyanZctEoDt1piFs9QiU0AbBkOYhMAW0aMfFYEQKURs3qGnYi8DSi5oQyXrhur03K1XZRjmORKDpViacp6drKKZKLjQAGn0TOb+DktLs2zbAIkAxKrydVg89+fFNaCyoBoNg+I+oubTYFLTdI6+LvMD/DK2fItXDb3fBRf8E3+mUW74fM26oCjDE5pWVONOX1P2OILDbdwA0rBKQVZcj1QoExBs/DB70ucr7Ptv9TXYbCRp+BaBta7cjcYNPLytwWYl4mC3D4u9XVo36AuQ2leOzK7tTMLhFZfNieSNznLBICaDlFgK+eN1pHcvoOetWiefAlC865BaN41mF54oXZ6cIfnHLwW48V7jlhcmXImXjq7wgD8Kfmjf6kZ0I7yxoG2vDkRSCOEt1Xv7vZEvxdvb85AnadNSWYokaN9Qj4/wWzskvswVQyoytmqn6uel+/nVYR0Y9/Bs9N14+PSL+frV0YPlulWAeQ0ckSdpt+s3uT3hkpsAmDLcBCbANgyYuRUEQAVgDebNFVgmptcgy0L8eNgkja5/W5yvM7OVdNyNVfp4uEmXE7DaQbYrSZus3uqvFFwQdNEAZ8vcT783nq82pc6oPnf6QVqyabfQqNJxPH+sJcUAYY4jV7I3Y7SFUSjTzZ8Wh3qVd56K1al9+g08ZzGWvyvAmLitwwCRVwuZza2jRtwoak6FVdeJaDadXmjsPiWrLmX246IU7jb5NJE8yTyJZtXyXVKPffI5IKCfV/ifN11mZCoNjzLqxGirVGCRNs3TaOIVz6NWSYyMuil7WhTVheWxa/EBtcShNzhw9VeWzNRI3KUcNB00LbZ5O1Cf3GzntCu8wBuqd17HECXhyW9KlCtGhtkAsCBXNU4RvdPqEA9Nx5w4wBXPnL78s+q0Y19sw8G8MHYAe9o95+ebBgfxfkoNHAmYap0q9qQTQBsGYliEwBbRox8Hm5ArQA19zx9Z1lyBxovnI1123x4dKYHW3rGDWj9T54OHOibAp+3wTAhqSZ5+oxsjsBpmTkSIYMWK+AvB9m+WJ70uclf/NXMIEToTdTb/adGhbWjjPb/ltpZbLmL3+dmXADf5m9rYH7+eV/FY+NLMaXTuBfAcKhXz/2YVLMHPm8juzFVgFta9jJQFuVAPR1RYkRPAqZaamrzL3+Luy//FhpyOd30OZnUiDTJexBo/PIhXgJUy8REJgnyqgBd1ZDj5jT09Nty+Ym2Jps5UXIi31cRZBUAlMtCjl82R2ryduGNzjxsG9eFufFrDGSG65fy9TpPG97Zmqpv101k03vQuPJFzd44wErbo0wAuPyajSncdfquStPOlTF9Vn5mZnmrAeB/Y3GKRgA+yopC8KsB3f3q6iZ2PFaNxSqFCDe+2QTAlpEoNgGwZcTIZ30SMDehc9etlsZXp3XjoWmtKGiqRtn+Cp32v/hAOQqaqrXlbdX36LfMJnaOqHDL4Ryg5YIMLGVwofoWF9onTzWC+/UeIDMaiHcAazwGzT/n65+rr1mzBg5wqm27Hq8ljAIcDjyXOh5TO9QkIHfjA/AlLzCUOdWGUtBLAY+s7RbAkWqMhTkLB6BkICyep4Ca/pY358ogWgb2snZftclYgGfxnuyvXwbaIp0qExtKDuR46KoB3cxLQb38V94ELN4PudsNh6DJaZGDfE8O8jdoe5LLVSY+zxVX4DlnFk6PX8WmWf6WuC/+PtJcaWz/M2LDbX9BfNgcjtxvDVQZxhmrfiy+JxMAM9AfKZjm3ucAvmosMrzjbUDxwTIdwF94VYHODOjaFRkRrQCYjdtyPZjlSdwbKrEJgC3DQWwCYMuIkVNFADhQZhbopMdNyj5vA/IqQqiubsLyGefg6sLwRLgsuQONlSvhn1WDmeWtrF2rSstnpslTrUqYaT/NgAT3rEwArIiKDEZ8ifPRGqjiT/PdngScm2C4/q8tadhTV6J5Q2FXG7yN8BWuRmD5zeHTetfdin8kpuo8uVw962wlASgP7tEBK9kOXQB6OT8y4FP5xacAUAbC9BwAAYJlUEo1+5RgUU06rVtxn57kK8yA5LZCVwxoOuhqAyUDMqCn7YUCdpkcyPeEe1MRxHXxnjg9Wbwv50vsS6BETEVW6AqCeFZe4eEIbZO3C9fE1+O4IwpwOPC8ayzOSlpv6CeCSMllJOKZmFyHjy4apW/nFyWFSTBp+yf6vXilLxUtyR2m44DZeMBtApZBuNlYw62KyG1gMADcbCwqaK4yrAL8v5pEIMOBN3JisOe8MeHrh0tRdnAyapJWs3lVrWLSepfzxpWrTQBsGWliEwBbRox8FiZAZqA/Ii2ZtwEFy6vDHi6kiW3SgcqwJwvGzEf1PzdZWaVDnrRlMKMiAlxc9H060dJNwKpJX36/ztOGN/syBvz+K8KJ/jD4bzg52XMT9dLkblTVXhM+4fckmJ/cdSeeT8nWgf97S2uVB3z52+/W/PtTIK0C9vL/tBypXbwMmMR9zjWjDIqpm09O408BLQdyOZIgA3FOUy4/RzXnMriVy0iOVyYXFLBz7U8uH7qyIqdPrJrI7VomObTN0dUKsdmYxkvJitx35Pw1ebtQG9+GPzkzdW3rV6485Hnq2Tajak9X1xebtn3qBUgmX1z/5xQX4pq82kSJHwf6ufGEkjmZ9Kmet4pXd9/bgKLdk3Tj5IpL8nBxRzam3FxsIAdl+ysw/8xF2hhqNT5bja82AbBlpItNAGwZMXIqBlWXM3voQlw2cjZNPGnbX4JpNxZp3ixKTpr95GwshCtuCL/5bxR2BlMjAj/9wTR1PPE+ZK+5RX9Y16Z78eTYiTqA9t3Cmcjb/BAL/rPX3AJXvO9zL4/ZMxdg4wUX4bJLr8LuK6/5QodLdl6JtvN7kOTJ/dzrhQtZMWPwjMOpa2M3RnngihkbcRwJrrH47tnJlu3/v89MRkJs1uee588kuLNReGUR6xK5hDhK+CzG0KESmwDYMhzEJgC2jBgZ7gRgzBl+3YS1c33Y9eeT0xOwrXscym4NT2Bjlvg//4n3Mw7xzrH4SawLT093A/1JhpUA8fvhs0cjwaUAVa7xGLvmkMG153cLZ+qA2U995SjofYAH/2tvhcs1/nMti5TkQvTv2IVvf+th/PSnj+Lxx3+BJ5548gsdHnvscfzg+z/Czv4vD1sSkBszBi84YnRtbXu0d1BxJLjG4pJQKv61zQj8/7XNixumJuN3sU60O5M/9/x+ZiEuG2OW+lF0rVHrrwqnagwdKrEJgC3DQWwCYMuIkWFNAOKyEdhfrNNa/bbSPeD6syJe02IF9hd/4VYBtjm9mseT59Ni8cp6/abHl3tHoT+Ypgb/zmyk1Kw1APrrZzTpANkz6Tko7tEfBjbhpHegcZ13DQvNf3PTefj+93+IJ574FZ544td44omn7PDEr/HEE7/CD77/I5y/uvtzryNVKI/JwBsn9wKIsNyZisScufAGFiIxZ25EBDPBNRbz/RnYGUrFJcE0zM/PwKZYL446w33kLWcUcp1jPvf8fqbBnY2ia4sNmn9uZeBUjaFDJTYBsGU4iE0AbBkxcioGVc7mXmUvytmPCvtaerBN0y6/zqPFJevGsh4thC2v6ttmG/04O1Zh+63ahKeyx7Wy7ZWvuZz6PQDU/rnJ2wW/tx6tgSrsKG9ET94kfBQ7cODX864ErBzVjp7CJWifPBWtgSqdn39qz9uR2Q2ftxE5m/QnuPYs7NUBsX8kpmL6htuMmv/N30bp2bfhjJQenS24XPacLTlnKy4208r21cKrDbXDl++Jclud1o3Du+7Brx7/NX7/xF/w/K9ewPO/egF/ePKv+Muvw3/Fb/G/uP6XX4f/p8+LvyKI58SzcnjhqYF3fvPks9rvPzz5V7zw1Av421PhZ37z5LP4zZPPas+K93/z5LNamuQ4xTXxDpd+8Q35t5yfP//qr3jq8V/jukvv1Nmyi3qh9SbvaZC9KMntRq4nuX/Itu30VGvZHez/Z+/N46uqzvXxE0hOhnNyCLMY4ACBGEgIAoIMSgIhiREQIQwOqBhDEEmCFRQcgDrUinCZbLVWEVucuAZt1dtqq7217e1tJdGEaK9+pRcD1ul6r22tnRTf3x/h3edZ737XPolNML90v5/P/uRkD2uvvfcanuedFgZG8/Ub0xbSp4EeTrv7JDGZzrl8d2xV4eo6GjdjGy3IMNOUapmYsC8uT51gpAZtTB1G0VCJq53a0tXiMXxvsk/JQG7beCDHCqyzDCSWY5GMX9DqK6/RUoMW7TyNdlw6kCYoMQFaViBbXdri/+/HAPjS3cQnAL50GzlZQcAa8I0XHCcXtnn4/FhO608G96Azv2X6uWZNnxEXzNsC3byyWsgJWk7ytslfm5wRDCMAYHCBEzxftyRjNW2bnUsfrRsQW+13ZAz8H08KUHXKedZ3aQu8nTzqBgPUz7lsJ/21Z1IMhCUl07nLdxnn5Cy6j2bP2EYz0q9UQaQGoLRgWFtgJ4JDDOBFMoUBnMHE1sDMfdvqqKm+2QG+TQ1vOIAdQTMCcP6N5ICv4WP8t6UxBsr5NxICDdDzdqzJrIe8H+7jevNfG9nAe2Ad8BjX+1D9Idq3rc55d0yamETJwGF+vwywZRA1ZgzS0nYiQNX6lwS+fO196cUG+TzaayCNq33EXIRu6V1UEFrpylKD/VqC+R8Gsw0S8C9p7kxjsl1qfTeYaGYBks+IIF2OAVpwcbz/beOkvIdtvJJj6NR7RtOLM8L02cDWMXTt1UNcBCBr+gxVedLWcVQ7v6PEJwC+dAXxCYAv3UY6ex2AeBOfbeIoTK2iEWfEJq/x94+hj4b1bPOqltpErU1Y8v4SmHqVEW/ik4BfAw4SyEowkRUpphcuGWr49NPCFAPQvDM6w8nrL1NpygwtWP7UmTsMcL93wlwDgFWdf4NL81+cs8kF+BDkIWCX5AjBpXxnmNtepsfELDgSsAYTW3Pa79tWR80NzS5QjlpzJAVHG1uBOQNlPo5adQTsR14xgT//ldcfbYwBbwbsaBk4emKT1gYkAIdfjp2HZWB9kCAcBTKC9XbqVd9Mu7fudbTyTABk2+D3v2GwnqpUsxTgd0XgLbP/YKYk2Sa4nKkzd9A9kxcabfCnwyfQcBF4PrVwh6vucv0BbFv5oZn0v0mxRcI+CqbRnJTlrn4v+6UksEwANFKj9WmNIMh0t9oYIu/bFiuqbQwyLAB7c+m/xwSdMfTnZ4XVMdRWlteYKMcCPLejxCcAvnQF8QmAL91GOtsFSJsQbPuNiTWjmMbuPt1Z2ffqtUMM959LNw83Vv4dsyvftfCXDbDH02rJOsUjL5qLjde9tfMkuOBt2+xcM7DxunSiXgkxAtAngWhDOm0tylXL10A67x83Y6sJ8K97mm4vXE6fJfSgndMuUBf54jSf2nMggGeww+fgqrMSREqwiEASCYAGIPm9sQVAuspo7j9y39FGU/vOAFsD+/g/gnh0+0ESgKBdc9U51hQ7FwkIkwZpUTgK92GSgedjvZhwNNU3075tdc43kq4sFf1q6eboauP9Ypvh9y0XH+N9CJ41Io2gV5JSrseCjFoaUV1Hw9d9j14cNt4hAH9JDNK5l+002mi0ej8VhFZ69md5bHtaqUGafxrONwCSRo1EAAAgAElEQVS6jfTj82Mf9XLX0cYD27jgBaq9ztHGKG0sWj6gujV98onV0XdcNtAZQz8bGKCZu04zxtCCUGWbx0vtmbVn6SjxCYAvXUF8AuBLt5HOJgBeQNoGWKPhUhq/YZqhmfpJYbozcR3NSTJW/s17MI8mLyyzkgs5QUqTuW3ykiDfCyTgxK2VK+8tJ3l0L+DrikKV9MG6vmZ2nylJBpChpal0fFOEPlw7wPH5RyAgQXM0XEoFoZV05sjrKb9gm5rVZ85lO/Vc//PuVImEfC/8G/2zGTTib5kfH98Vap7ZVYUBLIJIJACN9YdUcI1afPSZ11xm8Fx0x5FAXNPaI+BHIsH/yxgCtBxIVx/NrUiSDf7/7Sa3KxBaEpgA8Dtma5NcoAzXJcBvwwuFye8sSd+GwbHr0XojN7m/MLWKzhx5vdPOxtU+QsciA+i3vU814gCkJUpaKXBBM5fSIVRCryQPBbe5BLoipdw6ZmBduUzNSod9QR7zAuxe44FG2L2sj/HuP2rRVGecnLXrNDo+MKZI2bZ8oOcYans/XuRA1rGjxCcAvnQF8QmAL91GOtsFSE4UEiSrW0Yx5T6Q52itpn8zh/4+KMG9nP2J46evnU4FJ1a31SZPnNDjTdDaBC9BjY3QSEAgJ07bNUwAZMDlmuz5pvZ/VYgoCOA/J7E1HuDE8TXZ813PgHVZkFFL42Zso2jNfhVUeW7XPuUE/Epwr7kZIQHhazQ3Ely512YJkGAVXU5Ym/3Y9lYXIAnm0eXHFvyLLjl8LQbu8n7UuGvuQXwPzS0HCYH0/8fgYOnCI92MvFyHMH4BLQ0N9Y2OBYBJE6/2yxuSLPktuE1dM6iGNg6pNiwC6C6EbYL3y0BhJn94fWFqFc2deJvR3mZV3kO5V/+rtT0unHSbtR9rMTnRcCkVpJ1Ff02KWc9+FexNhSkrVFceDXBrMQAaecX2rRELbSyQhNpGHORzSddC7bqCUCXlrJvoaPp/OT3kjKWvj2vNpDZu0xRa0GeV+t6wjlg/6c6nEfho2HcB8qV7iU8AfOk20lkWAA2AtnUbOdfU/t985amG+0/ZtlHG8Ulz56iTstck6jWJexEVjVh4le11Dt6TwQVrYQtTq6jq9DNi4H9TOtGoWOAvJQeIqkMGQdiYX+Z67/x7QUYt5SzZYwRUnnZNnTW3v9wKine5wDlP9DYygCCA3wOCfQaKuNIvEgUOQpU+4wiwkAA01De6svGg6w3+xWBg9rfHfdKtR1oC0JKA+9B1CMmD1P6jT78kBVrmIrlhgLHMEiTdjJrqm+mx7aYL0OqBtUYWHbbISE0/uu/gt8NvhgRCxgxoFh62FKA1pzhnU7sI6YK8zSrwtPUvrv83UoYbFrQ7Q2afkaAdyQBaACRZ9VIUyHLkWGKzoCHo9hovpQVAfSeREpq8sIzG7MqnG6ozjfF0/h0jnVWBeWV1G7C3vWuvenaU+ATAl64gPgHwpdtIZ7oA2cB2PAIw6uIpBsD/9ZSYxqppYqorcG3UxVPaBPARFLdlUtMmQW1ryzleRIiBrAQeO8cvjgH8i1NN15+zg65Fj5bmTLESlnEz3O4+D48rpdcGDKfZFd/UgdYJojD2gr2Gz7Xt3WEALwJ5fC7UHksApAEKSSgkseH39viO1hgABO9S4y8Dgvk3BgOjj70GwqXLjiQcHAiMWXhkEC9aEpCg8G/NJYjvz4AfSQUSnbfFsxx+uYWaG1qDgDGdpXTB4e8lXa74fSNB0LI5aeQBvzdr+vH7oXsaxwA42X4sW/Y1Byir+gAtyDADxWVb5DYkyfrF6SvpvaRkpx/9LimdLjptMt054Txakz2flmSs9iTpGtDWCK+tDK/xRqZKtY0ZklBpJAuP4bUz0ito4vX59JdTYxbVey/ob1hUx6892yEB8YiA9qxyX0eJTwB86QriEwBfuo2crDSgtolCmzRmzpvvgPvC3abP6h1XnOIiACPnTvMkFHKytGmrbOA/HoBvDymw/Y+BmXysKFRJH60b0BoDkJsYA/+RBKL1Mdef45si9H/rBtKSjNWu/OqrB9bS8v5raFTtAQNcXbr4ZifQ8q89k2jl+de7wNeomgMULbjRCfxF9xBM0all7pE+4JrPv9SgasBSkgPWWuM6ANFwKe25cz811h+y5u/XfPwZJMvc/Jj+8/DLLfR6/VtU9+xrdP/3m+iJZ1+j1+vNc/FadgWSKT8xo488H4mElsWopbGFfv5v/0EXLlpG0egwSk5Opl69Mqhs9rn0/NM/d9VdEo6G+kbavXWv882YALA7j0bE8Jvw34p+tbRxSDVtHFLtfFPZLiTAl/1PBhpjPygu3mkF/sOue4puKr6S3gv3oYvP3uQi9Vw21l0SUz53XWqe05c+DyUQrYhZ0t5f25f2zJpGRSIYFvuoRgJswFge06yBGpDXSLEG8LXNVrdoOBYP8FxRxBlT3xoddMVUFSyea3WFijfeybp1lPgEwJeuID4B8KXbSGe6AHkBX8+J5EQMQO7e1qC17y7sS++OSqTjAwM060TWCvZnzX0gj2akV1gnHzkp2jTkbZlYbYRC+2sjO5JQcFmcmhHPzYoU078tyG8FJzelE52XQpSRQDQnxaX9v3/WdKdczMQTDZdSNLvCAFO5V/8r/S69n0MAPg6m0vSV98eCMGdsbQ3KjJQ574ZBn9d7Q9cQ3PA8zS0Ey2C/cAarmHmG3aOQHDCYfXxHLAZAWzhLgmLpSoNadSeOoP4tunnfS3T6pmeN9zd+87N0/Xd/Sa/XmyCftf0YFCz9/GWGId4vrQpY79cb3qK77rybTsvOoeoVa+i2m+6glRWrqVekF2UOGkyv/OK/DCvHMQgKbmp4gw6dsACg25QE+KjFxkW9+Hvjd5CxHEjwouFSx60LATiCfs3CUJhaRdFIGeUvfcDM+7/+GRq19kn6eXSc015fDUapom+Nq94SZMu+yMeL0yroDwODRFOD9Pm6sNGPOOC+/pIxlBUpdmWcwjprrjvYzqUFTCM+2ril9St839r4opENeawgVEljd4+n3L159JVrzKxq5bdnmYqV+8Y646o2jtmUIz4B8KW7i08AfOk20lkWgPYCahlQlnP9BGNCGvtALi34+kiX9n/8+mlxJ1SbdkxqtzQf3XgkwOteWIYM1pNgBV2AikKVtGfWNPpgXV8DnHy+KUJ0fXorGQCw8stlOY7rgqzLgoxaGn3+twwA+53xc4xc6xtKq10BljZtpHTBwX3o3qOdh++fQSOCerl6rFxdVl7PQcAV/Wrpse2tWYDebjLTZEr3H3SXkdl6kBA0HHydlux80dMdpXznT+j1ehOsY5n8PwYH47ktjTEffgxSRhLC1zT+x+sGeWlqeIOe/O6TFAgEaOstO1SLB/9tPLEQGBIABOb4XiUh4GPst8/XsasQglq0BLGlBgkbtw8M/ObvzPdsDVTf2mp9gnf9rzkFRpt9qFexq63ZiCVuFf1qac+saUQb010kWiPVGgFoC4D3Ggu065EYSOWA7Hv4Ttt6n8LUKmNl9TO+PYY+yVTcgGCbuGJWm54rHinoKPEJgC9dQXwC4Eu3kZOVBtQLQGv7Z6RX0Njd4w3fVNT85z2YR2N251M0o1idiDXtHP7VJlBNg4YaRq9JHMuQ7itambLODMpWDKh2L/yFBAD+f39tX9palOvyW3a2SBlFL/iGAaTOX7aNjgcSHCD1i2i+y/XnzJHXq5pOm4aRgZUEAOgWomlE0d8cASSfz+QA01PyvTA1Y2FqFe25cz81NzQ7Pv3oWnO00R0LwOAaV/hFV5pbHnqpTcGoN+z7T1e8gATgmKUH4wxkak/OPISBwJhmlInK/3vpMDX+tJF++vx/Unp6hCouvsIgN5KENDc004GddY52Xy4EhpYbLYhXBm5LVxvb99L6gQSw2vHySA0t77+GotkVNGvcrVScs4nGps+m3/dIi61S3SOFxoVmqgG3so9jnZdkrHan1lW245ta+xcvsIckHfu57PdaH0HrhG2ciTc2aiRAOy7Lxn1yZXV0Azqcl+wiALl3jzViAdpLAnwC4Et3FJ8A+NJtpLNjALwmKa9JozC11RXo3K9OpbwHxMT0QB7lbJjgcv3xKldqr7WJWCMMcuLTtFxe4N6LLOD1ji/7rGlxNZO0OUKPLcyiFQOqVaLjgPGZGw2wOuLa79NrA4YbiyydXXWfEfTLAZZt0S6yhhcBHwIhBPUIYJBYoCaYz8F4AY048LUMZgtTY+sAyEw+hi+/yLKDG1oGXq9/i07f/GybCMD4zc9Sw8HXXWUea3KvBYCxAAjUpZsQZjBia8Crv3yDqiqvolMGDqKEhAQKBALOtui8xS4XJkwnqlkAZNyGBPqo4ZfuQZIY8H6M/8B9+P0xhkTeX7Zf/svk5M7UMsMK8IvUXFcMg9bX8d5Lc6a0qX9hYD2STdv4IVP4asTZa6zTYiI0EK8BcS9lBNYRLQB5D+bRtWsG03ujEumR8/vQFTcOc8UB5D2YR9Pyl3qP0W0Y3zpKfALgS1cQnwD40m3kZKwD0JbJQju3PFJDH67MpktPuYomnzuXzriopDXg94TW3wa2tQlauge05f4a8Lc9hxcBaMu9gomZVBSqpP9d1z+mnbw8jagm3CbtpLzX8v5rKPqVJwywunH2SgNAbZlxqQvQTi3cYWhmJaCyWQWkmxBeL4GlBgalFhoBIh9nawH6lwcTM2njkGojCFi69jAoRm06auJRS3/45RZ66IevtCslZd2zrxm5/2UMgnTP4cw9tuxCckGxI6+00KL5S6lHjx5UeUklffPOu+nBux+ih7/1MPXO6E3nzy13rAdIMviZMA0ovzONWGEqTwTfCNiRAGwcUm2sAyCJn2w32A+1+8v2JNtfYcoK+nHP/k77PR4I0C29lhquY5JQynoYqXVx25BOVJJsBNfT5gh9Y/J8KwHQwLqtj9uuiTc22sYs7VzZv1xjYqSExtw91gH34/bkqqAft6lTy6311sZebbzsKPEJgC9dQXwC4Eu3kc4iAF6mag0U4wRSHqmhCyKr6MHe0+nhrCVxAbsXAWjLRIv/S1cf2z20ydeLKGiTpLQAGNrJjelEAxJaF/46PYlodUjVTnKdZfmTs28wQOq42kfoo5SwA54O9xlMI9eZawDkLLmfCkIrDYCNwE7+lu8N37UtDkACRQaZkjhogFEjcazNZgLQ0tiiAn1tQS2ZPYe3+7/f1C4CsPepQy6tPlofkJSwZl/6+DOBwGBitCakhyO08LzFhgvTG79+g3r27Ennzy1X05ZiGtDHd9S53Kbkt9NctBj0IzBn0I9AHgmeBPdahiAsTwPtWruJhktpVfhS+mugZywgOGEAFaasMMqyEZHySI17cb2N6UQzg0TpJzJsFSdbU+siAZB9mN+jZjmLN14gcdaC6GVmLTle2sZYbV/2ykmegF9uI8YXWsfVeM/mEwBfuqP4BMCXbiOdvRCYDezLyUOCu+vC5zj+qb/tl0ZnhAsN0OBFKrz+99LG2Y5ppnyNYMgJWj6bjahwMOuqCRNj4GOxyPu/KNVFADbml1kn5ykzdxgg9YGJ8wzt/7Ilt5hA9qJ7aEGGCbzwGfDZGKgwqMKsL+gWIt+ZBPJcFgJFPk+mDGXQidloyiM1Dij7/q7HDRcgzRWnRbjfYPYeBOv7f/hquwjAE8++5oDtoxBTwPdGsG9L86mlL8X/M3plUPm8xUa9N1x9PQUCASqft8gIeMY6vN7wlpMGlN8lEwCZ2x8z+SCB0/z/caVfG4FDQC5dh2S/QqKgjQfYhrYHs4y2fEvSLJe7kUYgo+HWzFquGIAsWGAvI4HoxnTDysb31giABLy2sUEjzaqVQxyX59nGMJslxXVuRjHl3hcf+OfubV0YrADSocr62Z5dnttR4hMAX7qC+ATAl24jnZ0FyGtisBGCwtQqOpCR6xCA/+mXRtFwSVwA7/W/NkHaJi+podTqJwG9PE8GJ8YDB2nBU+m1ymGxVX+H9oiBkv4JataSLfmLjbIRdOPCXwUr7qW/94hpTX80crIbyBbe5NRZAnQkKvhsEpDLrD0I7K4ZFHP1wf22QGEEn1imzPrCoOzJXbGVgJEEYAyAXK0XfeWRCLx68AiN2/RDGtYG8H/65mfpty+71xtg1yO5Yb0kEZCuQOgGNG/O+dSzZ0+69MLL6bYbv06Lz1tMgwYOooxevWnRvEUG0cAUo7wOwJ479zuuPOgCJF2z8F0jOGVygG1WZv+R31KzAOD/Mg5BA9fYV9kNqTSlgj5IiFmzPuyRTsUpV7j6t0YgyiM19GjxDLMvXZJmku35KUYWIL5ergRsUxpoY5BmIdTGFjkm2cYpqZSwKSm0cWjU4qlt0v5PXlhmHcOwbtqz4TkdJT4B8KUriE8AfOk2cjIXApObpjHnyePDgb0cAvBvGaepE6sGrL20Utp5bZm8NcAu76NNwFLbbQMmhalVtLmwXwyQXC4AyVwz7//xTRH6cO0AKgpVWsnU5FExF6BV8zfQn5JSiAIB+jShB82s/JYLyE4edYM6saN/tQbM0W8fwZFtZVipNZbkwqYB1cgVg9louJQe2x4jAAh+tdz/2uq8SBBeb3iLbm1jFqBN+16io7ACL2v+8d5cH9T4Y/YhDN5FlyHc/9JPm2jheYupd0YfCqWF6OypBfSDAy9Q5qDBtHDeIsPtB12QjrzSSgAe217nfI9gYqZB1qTbCfZPBN42ty7eOBgcz0UCh0QANfbacS6by5T325laYlgBHg2d7XJlspH3olAlPb8MMm1tSifKBMI9qAc9f/EQV4yNFgTs1d+1MQrfibZpY5JtvNOu1erlGtciJZSzbmIso9reXDpvy0i6s+IUuvPy1oUWc9ZNdDIAtXVclffn6zpKfALgS1cQnwD40m3kZKwDEE9TJn+v6nWpsUjNlb3GxSUTWvk28G2buNpSvtSMtqUO8Sb4rEgxvbe2V8wtIU+s+nuDW/v/yOwZxj0l+FiQUUvDvhLz8Z9YvY/2TphLeyae5wayX3nCyfyDIF5mJkHwL90tJLjTgL7mSsJAEBeHQkKgBZMiIGQw+9j2OjrU0Gxo4RmIy6xAEuwjMYhp5d+ipbvirwPw3y+7ffYxDkGuEIzuR1q8gtzQooD7eAVjbe0AbR2APXfud96rtugcfgu0xqBrV2FqlbNIG8aJ8LeQwdz8rTcMdsdxIMHA/yWRlEHjXN9F6dX0RkJsMbs3kwbRgtxNNClvM5058noqCK10AVdsT1mRYtpalEvvrz2x1saCFIN035p+nusaWxCwbUzTiL5WJ20MxPdlIxO28dNWPv5emLGaChfNo7G7xtM9F/Z3xtr3RyTSqIVTXODfawyNN/Z2lPgEwJeuID4B8KXbyMm0ANg0vHLiuz5jjDMhfdY/gcaGZxmAQpYnwUxbtVMS0GuTt9yngXgEpzbCI6/FexqBiV8Jtwb+MhiZEXSB/4YVp1LRCd9cqTFFMD67eKcbuIqc/+z+o70HLEsDM6i9tbnxSJ99CQT5r0z9qbkWlEdqHDApA1rZAiADa1EDj5l4MBgXNfR8/dHGFnr14BHatO8lGr/ZvRLwV/cdpFcPHlFTfGKWHy5XpvVElyPp9iPdh5BgyEBjrjNm/kE3oJbGFjrU0Ex77txvkCa07kiChsCbwTym+ZTtQ5JD+W3xGi6XycKGwWY6UQmQtbgALmtd8Fz6sEc63ZZzAY2rfcxs09X7KVp4ExWEVqp9mLeiUCVtGrOY7j5jLv0hJdnpdy8lDzfaIL83LwWCV9/XCE08ZYGNVMg+gd/D9pzyXP6/IFRJl48eayhcitOnWccvG+D3IiYdJT4B8KUriE8AfOk20pkWANskYdNk8QT1y74jncnoN337W6+V2W/aez9tQpP7NS2cnHy9JmpbMCzuM1ITFgZj4D8YILranQb0yvETrffE97ggo5amLntAB/78/9K7qCC00qWZl2BNkhd0IUHtcDRcavj6y3fA5SKwk1lgkBRI8IRa6mjYnQVIuvtIzbnUnuP5MlMPA+w3G96iumdfo4eeOUT7f/gqvSn89ZE8NDW8QceazOBi6dJzVIB5mSkI9+NzyPORKGD9pRtUc0OzEwTM70wDkPhe+X9erVk7htYeBMr8m8G91m60PibLwG+P7ZGPL+hVQ2PL76Xo+mdomKV95yy5nxZk2N3NsA/vTMly+t7xpARaGb7MAM9MnNo7lmjAHO8vCTb+r90Dy9MsivK5bPXk3znhIvpb/9iqwHdFpqpjVVvHPfluO0p8AuBLVxCfAPjSbeRkrQMQb+NzF0Wq6aN+Kc5k9FCv01XQrE1mUsMVjwQgmLEREhu41urj9bw2DV40XEqbxixuBfc3pRP1TogRgNxENWf5muz5rvqgNpb/Xz2wlg4vmUwLyrbTqJoDBkAaXl1HUwt3OGk/uTz0uca6Ss2+fNcM4hn8bxxS7ey3WQj42tuHX0XXDKpx3EuYREhSgMQALQDlkRp6fEedsw6ABPXo449ZcmTWHS1DkBcYR79+GcQrVx9G9yIs42ijnazI+zNxQYCP18hn4ut5ITD+prgSMMZTSJ98/H7SnYvBPbYNPh8XEJNuPRuHVDvfWMYUSKJpA59cJga6e20lxTtUgCrB6qKUi+mzpFj/eyo8yWUB0EC4BsBtY5QE+XKs0axtsr/ZAH97jklC0dhnkDPm/qLPUJWYeD2f17GOEp8A+NIVxCcA/+Ty8ccf06ZNm6i0tJR69+5NgUCA9u7d6zrvsssuM1bs5O20005znXv8+HHasmULDRs2jJKTk2ns2LH0yCOPqPf/zW9+Q6WlpRQKhah37960bNky+uCDD77Qs3RWGlBtUpCadATg/P/loUWGOfqiyBlGWRKs4728jknw3lZiYpvcbJMpH0PwinXTfK+dGIALROrPZWlq8O+SjNUukIZBudFwKd2YsYyeDE+nJ3NbF0oqCK2k4pxNFM2/yvCRlppEjeRI1wU+Jld/lVpc+S7Yzx83mSFGA2a8yUWnUCvLKwFrIBt/IxCXbkES7Mt9DNgZ0CMA53IR9EtrhMwEhMQEV//VLBOYvUj+ltmEZMBzQ30jPb6jzvl2mM0G+6BG8DDzD2r75bdjIifPwzYiv6f8X2rm5TlIABZk1FK0Zr/u0iYsASOq61oXxlPGCNn2fhYc5vS/d5KSaVZKpVN3WxCwBPW2v15jhu0c/B/TtNruj+9JPieWI8e2B3pNdMbcj/sHafiJrGu2MVt7Dtu+jhKfAPjSFcQnAP/kcuTIEQoEAjR06FAqLCz0JADJycm0b98+Y3vqqadc527YsIECgQCtWLGCvv3tb9OcOXMoEAjQo48+apx37Ngx6tevH2VlZdGuXbvoa1/7GvXu3ZvGjRtHf/vb39r9LCfTBUhqqbUJY2NGjjMR/a1/Ap0Wnm2dFG2maC+NnLzGBuolcbFNftp1XtfK/fx3c2G/Vo0/g/++Ca3ZSYT2//5Z060khMvbMLiGXkgaTRQI0J8CQXogcaKqtZfvUQIR+ZsBncwaI1008FsjqMOAUs2SIMuS7iMSJG4YHPPL3nPnfmqqb1bz7ONvGfyL56IPP2f1aWl0WwMw8BZ9+6WLjgwwxnUCsB587lEA9zJVqeb7r2UY0qwJuA4AEwD+HpKo4X5cGRj7jgTxGghFdy0M8pZEQwaTy7FCklLeX5yzSQX8BSvupfKLt7iPZVeoJATbbEW/WrotNM8g4ZelTnDqhBYAG+jW+r0GxNsy1mjjjm3s8yIOXtfwsZt6LTQUL5WhhVaAj5vs81o9Okp8AuBLVxCfAPyTy1//+ld69913iYjo4MGDngQgFArFLe/tt9+mpKQkWr16tbPv888/p7PPPpsGDx5Mn332mbN/1apVlJqaSi0tLc6+H//4xxQIBOjee+9t97OcrCDgeBMJTxYNA2L+/wf7ZrgmFw10a8DeBuq9tFa2yTbeRConPhnQaLseQdTQpIH0OQb/zgwamn/aHKHnlw2lrEixSwvO92SAfUW4gv4e6OFkSHkocbABchBoy2fA4+ySoU34UhOJ4Ey6ESFpYBKhuRdoWmgbEOTzWZu95879dKih2QDgmHZTZtDBwFuZnx/97XHj66Q7jywL3Xv43keFhUBm65FBvVwO1lXGE0h3Jbm2ABMIjgHgd88EQIJN2XZvjq424jnQ9Yq/E7oOSdKGC40hgeRjXActuBgJgyQG0XApTcrbbAD8c5fvoh9mT6XjgQR6s89gGnbdU8bxSXmbXe1fgv+KfrW0OH01fZAUcvrhD4LZzvmSANjGH3yv0nKmPYsce7TxTBv32jO+xhvvilMr6G/9ezpj757eZ7vOkUTHNk7KfR0lPgHwpSuITwB8caQtBOCzzz6jP/zhD9YyvvnNb1IgEKDXXnvN2P/II49QIBCgn//8586+AQMG0OLFi11lZGdnU1FRUbvr/2UEAcuJIjbZldBH/UPOJPQwpP/UNFqyfE0T50UCbNo4bfMK5vUiHTbCIp8hmHgq7cucT/8dHUTHwwlEa2LBvx+uHUBbi3KdzD9S4yqz8exIiq2UejwQoMK0s1ygwqZllM+J4MxL84/gTtPq8//SjaGiXy1tHFLtehYJPBB4Yh0YzO7bFlsHALX2GpiX2n/pV48ZfaR2X/r+S1AuA3Btrj+2jD5afRHUH2vSA5iRWGAZTQ1vUGP9IWcdAH5nWhuQ31NagKRW39YOkAzwcSR+/FuSBSSRXmsOrB7otgBcPecaY12ASxbfbBwvztmkjheaNeN74cn078HhtKfPHBoZKnaO4XuzkXutfyBRt50vxxobMdDGu3hjj0a2tfMa+5zijL3P9Bno6oOaksXr/j4B8KU7ik8AfHEkHgFISEigtLQ0CgQC1Lt3b7rqqqvo448/Ns6rrKykUChEn3/+ubH/8OHDFAgEaPfu3UTUaikIBAK0ZcsW172WLVtGffr0aXf9OzMGQJsMvEIwOQEAACAASURBVCaR4tQKaswcQ0f796Pj/QN0eWS8CtLbOpl63d8G0m37bRaGeM8kAYyt3sHETDpUOoui4VI6Lb2I1mTPp435ZbQ0ZwplRYpdYB0BDP6/ou9q+n2PNAcIPd/TzKIkgRkCfGkdKI/UOJl9EODxvTQXEbQc8DEZcIrnaNphDbTw/1IzjBaA5oZmamp4g95ucmvZpR89at41IG47bnMlQgDPWn9ch0CLNZCkQtZZ3kMSCkkE5CJgTGLQBYjfGVph8Fvihv7//D1xvQZeDwDbBBNFSdiwvWKZeC7fE6+Vbkn8/4KMWhpRXefEAIxc9yS9H+oda/dZk5wYgKzqAxSNlKn9UrYvfI6KfrV0/+grjD6qgXJt/NGIr63v2/bj97GRDDmueY1F2riJ/eyhXqc7BODD/iHC1dfbWp72t6PEJwC+dAXxCYAvjngRgA0bNtD69etp//799OijjzpBwdOnT6dPP/3UOW/OnDk0YsQI1/WffPIJBQIB2rBhg3Gv7373u65zr732WgoEAvTXv/7VWtf333+fXn31VWP73ve+1ykWAJlNxDaJycl4y4hVVJhaRbnhIsoOz4478cnrcXLSAHq8yUy6I9jua7sX/9VcgLyARzAx08msoj0Tni/BNAKM+3uVGZrQf4nMd70LL5KE98RvppEDCQJlHn+p1UXCIrXACA4xcBQDf9kdBUkFg1mOAWC3G1sgrVwTwGYNkJu2sjCCe1tKTnkNrgsgwf2xJrfmXy5chgBfxh/IOAXeDjU0075tdQ54RyCLGnf8jgjApdsPtgf85rgQGFqFEGTyOg7cbrBcrAfeC13RsL3KLEDbp18Elq8EmnZlawrcqYU7XETZBuRlX//NuQVO3dACIMuIF1xs63uyX9vGF69xRD6TNu7Iumh1rug13ogDWJJ2kVof2zPYjneU+ATAl64gPgHwxREvAqDJ1772NVdw76xZs2j06NGuc48fP06BQIDWrFlDREQ/+9nPKBAI0P79+13nbty4kQKBAH300UfWe2/evFnNStTZMQA2IKwB7fcrxngC+3gToe1/TXvuVRf8rVkNcL/U1HlN/DjpYrmYYxw16BpwsAGEwtQqOtgj0wFBxxIiNCxUYmh4JchA8IHfQQvURPAnQbzm0y3Ll7EBDO4keWBgqRElWV9MA9pU32yAckzBiZl6tEw78rfNfQivx0XE+F5HIXBXcw3C/482et9bWg2kKxECfyQHMubhUEMzHdhZ57xrjAFA4InfT75n+S24TWwcUm1cg+0DtfbSdUsjE1pwOF/Lv/FYQWglnXlxbJ2LSVd9hz5NiMW+7Jx2AeUvfcBZB0AqJWxAVnNxQmsT9iM51uA70/qLbUy0kQNtHNKu0fqJNvZJ0I/b+PBMgwBsTp/dpnHYq0yfAPjS3cQnAL440l4C8Oc//5l69OhBV1xxhbOvO1oAbJOF1/7C1Co6WFjmOUHbgLpmjtY0eraJrC37tEm5PRo3r+eXq4x6aSklwOBzpqfNMLT/30qcbAUJ0gVEAjENAMrzECxJwM7nI8DH/PAIHDQ3Eu0+WN+NQ6odrezqgbW0b1udkwUIgbnUkGuBv7ZzpB8/BgJLDb10xUGNv4wxaAErBYJ1mQbUFhiMGYW0LEdICloaW6ipvnUlYNRko4UG3y9/Dw20oyUH/0e3nQ2DaxxSgOXgudimZMYhtABwG0FCiCC7ol8trTplDZWV7Gh181n/DD07aorT/t9LzqCvDKp2jQFshcDnso0rzt9QiRo8rZ0v+4lG2CXpso2H2vjlBbYlmbeNY9r+in619Hq/MDX3HUj/FR1N63ot9QT+8pkkSeHjHSU+AfClK4hPAHxxpL0EgIiof//+tGDBAuf/yspKSktL6zYxAMHETH9r4xZNPIV+kRik9YkRykkc+MXLCg6hWzOGOeDn00CABvc85Ut/vpO1bbljJ9XXN1B9faO/ubYG2nLHzi/9G3XqFhxC4WEzadHgSQYJLuvR9wuXOTTxFFqdmEE/SkymusSUL/8ZT8p2aoeX2VHiEwBfuoL4BMAXR9pLAP74xz9SQkICVVXFTKPf+MY31CxADz/8MAUCAfrZz37m7Ovfv781C9CsWbPaXf+uQgAGJA2i0cGBlNwJE1BX3lYlZjgpB48nBigzsZ2gPTiE+py1ggavfoj+u/cgB/j8aNgE6nPWCgoGh3zpz3gytu5OAFasWEmBQICef/7ffQLgsaX2PJXegRS4D4cGUiRnLoWHzWx3X/hqYrrTNz9JTKBeiYO+9Of7/+PWUeITAF+6gvgEwBdHbATgL3/5C/3xj390nc+uOk888YSz79ixY9Z1ADIzM411AK688kpKTU2lo0ePOvuef/55CgQCdM8997S7/l2FAFSkZRANCNDv+yXQT3on/9MQgacTUxyQ8evEpPZdHxxCAxd/naLrn6G5l/yLofm88rz1FF3/DA1cdPs/BQnwCYBPAHjb0SPs9IOPg6mUfU2re9Dg1Q+3ixSfkdjfWBRsfuIXtyb8M28dJT4B8KUriE8AfKG77rqLbr31Vlq1ahUFAgFauHAh3XrrrXTrrbfS73//ezpy5AhlZGTQqlWraNeuXbRr1y4699xzKRAI0DnnnEPHjx83ymNiUFVVRffdd5+zEvDDDz9snHf06FHq27cvZWVl0e7du+n222+n3r1709ixYz39/21yshYCixdI9sKAWAq6/9cv5Omz6hWMpvm72gJ+tcwdXj62GOCq+fjbfP41/9houJRGhYrpk6SeDsDYk3yG1T9YKxuzoNxzZrkDev4IoCe6/hmKFtzoekfxMpJIv3vpf431Qv9+9iHHsmWgLwYM4zfF2AAtPkFmiUF/9t1b91JTfbOamhN96tnnHv3qZXpNmemHF9TCzRZ0q+X5l5mApL+/zOwjYxCaGt6gmqqrKRAI0EsvvKKuI2Bb/bip4Q0nBoDfdTAx03iHGMgtv73mj4/fH6/hzD54HrcZzOSDx7ktYAwAxo/g/WSALbcbzA4VjZTR0pLNBhleef71TqBwdP0zlLPkfioIrfT0u4+GS6k8vZreSUp2+ufdiSGr3782PmmxAnLM8RrbtNgdrZ7tHSttY5bsi4/nX9KmcTdefEBHiU8AfOkK4hMAXygajVoz6hw5coQ++ugjWrZsGY0cOZLS0tIoOTmZcnNz6fbbb6e///3vrvKOHz9Ot99+O0WjUQoGg5Sbm0sPPfSQeu9XX32VSkpKKC0tjTIyMujiiy+m99577ws9R2etA+A1ocnfCzNW06GhsUVonu8zwgXKEQx6gXpZdlsC/GxlIYDRgL1WhryfnMT5WFakmG4ZOtrQMF4XXmLNEiQD/BZk1FJWzQEH1GRfc4AqF95ET4wppO+MnxMD/9c9TdHq/VQQWmncX1vISQJuGYS4YbB3th4ZWCxTSOJfGeyrBTbLlKgIRPl3MLE1MHP31r3UWH/IlXOfQT+m+dQCfmVqTwzgPVx/mA4/9wi9+8weevtHdXS4/rBrlV6+B+fiZ5LA5zFJ4P/5uEzlyfXFvP5HXmmh1VVrHALgAHsR7CwDmlsaTywcVt9Mj++oc0A+EwAJqiW4R+Ilvx1vDPoxdSffB9suZoaSmX24XWk5/2WfxPpoxHXcjG0Uve5pwx3uqZyzjXShnBpUAnVJdAtTq+jHKWOc/vlmYk9Xn9CIsw0oa/eznYfPJxUbtlTBXLZtPJNjnVYH/n/tqVfSvy8ZQ3POmEAjxhdSNFKiXmMrA+vfUeITAF+6gvgEwJduI51NALyAfzRSQqMWTaUxu/Ppw+GxZei3LzmFChbPo4JQpVWD5aWN8iIAtgmvPddqmjgJhiVw5X1FoUraNjuXPlo3gGhGMOb/n55A24rGUFak2JXJQ4Kh8kgNLcjb7AI1XtuZI693PYsEUdLyIPPAa4AOCYMEaJithe8tCUNhqpkTHq0H8l4ILPn/YGImVfRrXQegsf6QNauOtrAXauMZvBskoP4wvfvItfTp7cOdVZlpc4Q+vX04/d+j11PTwddcBAMtAZylp6XR1P4fa3JbIiTgR+vD4ZdbHAvAC0++QGXFcygUClFGrwy65ILl9NIvD7ksCXjf5oaYBaA8EksDikQQ/3KWHF6DQVoG8FrMDITgX2tPGjlAywMCWNlGkbBoKUcLU6uoILTSWRzs7jMX0fuh3vTQ6efQBRd8zewP1z1Nw6vrqCC00tXPZF/YlDzbIOnTQzNc/R7HBHxmDXxj25bn4nv1Gp+8jmsWQ00JIq/jb1YQqqSHxg2kTwe2jsUvzEynvAfzaMyufJq8sIwKTqxGro2NtrG0o8QnAL50BfEJgC/dRjrLBUjT0BlAPVJCOesmUt6DeXT2XTlG/umrrhtKeQ/m0fi1Z1M0UtI2MuGxSc2X7Ryt7HgEAjVuGpjAc4tClfTCJUOJNkfo+KYI0dAeDrD4PD+RaHOEnl82lJZkrI5LSKL5V7WLAMydeJua1lECLly8S3vfeK20IiAwl2CH3Tls71RaFNitQ5IN6aLCLkD7ttU5FgBM8SkXBUMXHk7HiavwOlv9Yfr4m3OINkfo8829DALA/39891x6/eCbxhoACPZbwBpwrKn1OG8I/nHFYLQcIGlgApAzKocKZsykmzfcQufPWUCBQIAWzFlorE2AaUZfb3iLmuqbaffWvc47ZAIgiZh060ICyGRAAnyZ1lO2j2i4VF0gDNuf/I1lY1/C1Yq1vnbmyOud9p7zlToadt1Tnn3i/LFfVUk6tvt5KZfScSAA61JzXXVo77ghiZE8po2d8n7qmGohDBL0y33ONSfG5PuW9nPG4rdGBynvwTzK3ZvnjMkLT4xPXmMEPn9HiU8AfOkK4hMAX7qNnMwYANxGLZpKeQ+2TirLNw4zCEDp9mzn2KjyqSoA9tI6aRMuTkpeJnJtsoxHONqqBdwza1oMSG5IJwrGgAXNS3GObS3KtRIADey01QKAGkYJeLDumtafARn/RkDPZcrzMbe8XORJWxxJAxDym2C5hamxVW3ZAqCt0ivBOIJ06XfP1/3PI9cboN+2vfvoda6VhLEsdNXBTcYloMYfXXiYqLALUFFBsWEhuHjxJRQIBOj7j/3QsAIgsWmqb10JGF2ANECpWXwk0dPAqHT74r+Gbz4QASRwqMHX6oFlo0VCcyWb1E6r2Jjzv6WCbdkf3kqOBQP/NOU0Vx/HemvtVwP3bRlztLphf9HqgGXbALp2TWFqlTMmb6gd7IzFnw0M0IT7xjjjMY/JNiIi32F5pKbD5hWfAPjSFcQnAL50G/lSgoAjJTRmd76jVbpl5SBnwvlzZgKNfSDX0TqN2ZVPBaFK6+Spadi8JlcvII8gU4JRL6Jh08zhdUWhSvpgXd9Wzf/mCNGyNMO1gKpDjmXgw7UDqAjcn/A+XGZBaCVFa/Y7MQDW7UQMAK+GKl05ZF01QBcNx1wwkARo4FAGjaI/N5aJbh9YHi4WhmRE7uO/SABebWhWV+rFIF4E/3JBMPbNP1x/mD69fbhL8y+3zzf3os9uH0GH6w+3+tqD9t0rEFn67SPglwHI7DLEBOA7d+9zLARHXmmh5w68QIFAgK6pvs4oBy0IjfWHaM+d+11xEwjEUbvObQLdsrT+Zlvoi6/F67FNcDu6ZpDZLjBQWH5rrW26XFuyK9pFAEaseYKikTLPMaIwtYr+NTjW6acfBNNVwmuzIEiSK8cKbezQxg8JquOOsW0Y67CshRmrnTF5yW1ZhkJm4ddHxgjA3jwau2u8ExMg66aNkx0lPgHwpSuITwB86TbSGYMqTtIagJ6Wv9TQKH13YV9nsvmvcSnGsbwH82jE+MK4oN32vza52yYr2yRpu49NAycn//JIDa3Jnm8CyMKY/z/1SiDalG4cX5ozxQW2ESwXplbRuBnbaOX519Nzo6bQjcWraEbVt1WgM3P2DgekaP78+D7weVGDj/skgUAtP74L6QrEgG7DYNMqgGXKfQiwkLwwgQgmZlI0XEqP72h1AcJgWtTKG+49J7bfNZmWAgbj7/6ork3af95annvc8etHQiGtDBigKzMQHW003Zbw2sMvt9CVVdUUCATo35/+uQHu63/1KvXo0YMuLL/YsHZgbAPHAPA3ZLcpCT7xGyHpYhCP5/E30AK/pUsRlqkFAxemVjltQvYnL1DsAr2RMhpe+0S7LWP4nFq/3hI61yDrZ4YK1HauWSg1gC/btg2428C/fH6ZdQt/a/fSxjQckyfdO9ogANdcM8Q6JtsUCFh2R4lPAHzpCuITAF+6jXRWELAGGnlSyJo+w5hMXpwRdiabZ2dHXJNN1vQZzsTZHpCvnadp1bTfUksnJznbhKrdvzxSQ9+YLAjAqFj6T8pNdIHKjfll1vo5W6SMvj/8LCfbyev9hpqa//XPUP7SB4xgR9Sqyneh7edvx4G6CNzltfi9kTxI4CPrgNpedBNB8iNBJIMeJgAcA4D+/vhXxgbwbwzidbLoPH1PuwjAu8/soZbGWBAv+vgzWNdShCIx0QKUOWPQ6w1vORaA55/6uXNdS2MLNfz6NerRowctLb/IZWng+xwCAoDvTH5naalhqwASNEzXidYarZ/xdUgU+Dj/z1YALgOtAhJgyjasgerR53/LZQErWHEv3VByFV209DYXAZg17lYVcOPvCaFCgwCsSh2nknxJgr3AvKZEkP1FU0ZIUm4b8zQgro1VfK4ck98bmeiMybsuGeAak6dOLXeNlbb6dJT4BMCXriA+AfCl20hnBwFrGidpATgyJuhMNvde0N812UzLX6pq/Wyguy0kQQMscvLVgL2tHl4WhcLUKlqaMyUGGjelE4XA/ack2QUq12TPd5WpgYsPe6Q7BOCBifMcYJNVfYCiBTfS8v5rnOdAba0kRJIc2UC+DMiV/tio1cUy5XWoCUY3IXYDwev5Hqwlxv2cBQiDgHlDf3zNHYfBOQfhOn74zz3eLgJw+LlHXFl7cM0BvLcRnAuxATbSwmVxEPA939hjkIbnn2h1AVpfu951LT/foYZmemx7neECpFl8pDVm45BqF/mSgJy/QzRc6vjoy60wNZZRiNshugoxEcB2buuzEjAjIC6P1FA05woD4P9o5GTPdKDR7AqD/GrkvzxSQ+8GI05//XZK1Hgv8j3K+BYNINvGISTSEqRrBKUt78wG0PH3iPGFxpj70pQ0Z0x+8twMdUzWypP38wmAL91NfALgS7eRzrQA2DRZBaFKGrM7n/L25lH+A7n090EJzmRz0+pMZ5LhGAD2N40HyONp4m1koC3EwHYPDUhpAHpJxmr6YF2f1hiAjelEF6QSFQSJsnsSXZHmgMnjmyL0/tq+lBUptk6sfK9paTOMBY+2DlvaqtHMrqAFGfZFvGwgRRIOBmYI8hCoIECSJEPT0qK2Fv3F8blQE60BPEkmWJvNQcDo+48AWi4QJkmAQRDaEQPw6e0jnHSgqMHn8o41mWsRyBz+LY0t9HZT64buO5itqKnhDSMIGInMRSeCgP8NgoDl8x5qaKYDO+sckM4xAAjq8ZtJcC9JbkW/Wro5utq4Dr/76oGtZE1z90GXH2k9kPdDSw//b3NB49/L+6+hkbA+Bi6Q9164Tyxm5rqnW1OGRspUEI/tNxoupa+lZNMtien0/oyRND/lEiu416yE8hkl0Yg3ltmUDl4Kh3gEyrWJuKy6Ob2dMbn+zDQjBoDjsmz3l/XoKPEJgC9dQXwC4Eu3kZMRBKxprzjjxOwd2Ya/6fKNwwxNU+nSee2a9GxaKflbm2DlRClN6JqWXwJjDfwXplZRUaiSjtac2iaN8v2zprvAgQTB0XAp3Zo0yyAAy8OVRn2098PXawtBIUCRPvfy/lJDavsu0jVIan4lsJRaaFlvvIaDgMsjsZWAmQAgoJeWAAyWtfnm/9+jbcsC9OGjN7hceKSmX7ocYTAwxw7wOgBHoU4YuMwEIGdUDs2cMZtuWL+JFpxIA3pe2Xwj+JfdhjiomYOA+VvhSsCa/zi/a+meIwmDDbhLQoeBv1getrVrBpkuR+gKJoEzXyMtWnwOrpC9fNFmo4+ctfJ+IzYG26fWjvFZg4mZtGXEKhWk24A6kiDZV+T5NrcmeY0cl+RfPF8GJ8vz8VjB4nnOuLvz0gHOmPzuqERjTJ68sMxVrm2crehX22Hzik8AfOkK4hMAX7qNnKwsQHISKghVtq4DsDeXCnafRhfdPILWXT2Ypt09mvIg57TUNMlJWpvccNK0TdJywrKB5UCgpwpubZOorV5GClAvd5Lq1gxAEhhoQbd7k4Y6wOadnr1dQEPTxEtio4FtBn824Ke5PmBQqAQivLFWWIIhjC2Q34/rgxln8L6szd63rY6a6psN0My/UZuO7jHsr48BuAzgj71ymD65e67nOgB/unsuNR18zbXQF642jOTC5qOvLU4miQwHAT9b9zydO/tcCofC1CvSiy674DJ6/VdvuLT+WJfmEy5A/N5kFiB833KlZ16lF78Ltg1pVZILuiEAxu+mlSHJBt7PRgRwXOAyFmTU0oQL97bGwNQ8YhCA2rlrWwnA2u/TlFk7HQuAJMdYB4w3ka5CbRkTsA/Itq2Na15/bWMabm0ZfyWJiIZLadWgamdtlusgFejxgQE6/UQqUFybJd4YyFtHiU8AfOkK4hMAX7qNnIyFwGwTQzRSQpMXltHEuyYYGqYxu/Jb8/9HSqzaZTnhaffD41IrJsGybWKUlgLb5C6BCO53pQC1uZRsitD761rdf6QmEOvL9/pNQn8H2LyQNNoF2BGYyWdFdw0tVadNUymvkfdEFxK+ZuOQauM5pPuRTfPJAFT7xqiVjYZLaffWvXSoodmVQlP647NLDgJ1tArw+ZwO9MNHb6BPbx9hfKdPbx/RqvmvP2xk8UGyIdcB4Kw82toDWmzA0UbTRUlaBWQqUSQQ0hWpsf4Q7d6613mnbAGQgLQwtcpw7ZFAGEF6NOx29+JvKl11ZH+SxFED1bJc2eewDnjcsTJFyihaeBMNX/d9OtxnsDtO5oQrUM6S+2lBht6/sI5MNjEQmp/PZkWLN/5p45ckzXLMkuXago5t95BWN9cYFimhSeXn0CXXj3StzTL2W+NoUvk5noszYp18AuBLdxSfAPjSbeRkWwDkZLEwYzV97dwFVHLBXJq0sIxGTChwTTDaJjXWNtCu1cE2MXtpz3DitU24NsDsSgEaZ1uaM0UFBPh/UUol/T3QwwE2O5Kmu8AzgjsO6tTAgAQcWmCvJA4S8BSmVhkBvLZvJr+fRgLwXqwp5nLxu7MLUEW/WiMGAMG3XKRLrgMgFwFDtx0np//BN+m9H9fRkafvaQ34PQH8EbBj6k3pEiQJBl4rffZbFOB/tNEkMxgbIJ8D03/yM3MWIP627DYl3W5kAKoE5kgaZfuR7RRJhCSKWA5bheS5kgRsHFLtAuWyTNnvZs7eSdH1z1Bd7kynnxzMHO0KBJ5auMO4VoJtfh5+bzdHV6tAN97mNWbYxixNARHvd1vuLc/jfcsHVNOZ186gop2ma+Ylm4cbqwHjOgBeY2B5xF8IzJfuJT4B8KXbyMkmADyhLcxYTaMWTaVxu8e7tf+LpjoTjJyYvSY4L1CvWRJsE7I8VwM2tglcgthouJTunHBeDOBvSG9d9ffyNKJ1YVf+f9ocoarTz1BBAGrQr0guN1wbNqQtdmlDNXCtvUPN6sGAXpII1PAiSENQptVBIw5MSLRVhbHemG4S68wEoDC1inZv3WusA4DgWubVly46MvgWQTQCc4wbwNz90sVIC8bF3P1IGPB8TiMqMwhh2k9Ztqy3lmqUg4D5fWIWIPxm+F6lph4tBuijj2QRSYIE+hqB4xgDdLXR1hvANokWAWyPcl80UkajTgQDf7VohdNP/pSUQsOue8pIEzqq5gBFI2VGW+X3gXEGQxNPodtC8+joqBzalny25ziAZcg4Aw2oa7E7XuTCBuLlGOQ1jmnEgWOzxu3JpctvGkbnbh1FZ3x7jCsLEK/Qro2rcizsKPEJgC9dQXwC4Eu3kc7KAmQDlYWpVRSNlDi+puzvj1km8h7Mo5x1Ex0XIAn+JNhEYG4D9nIClNpL20SrTbbxtHZSE2mkAK0UKwCvDrkIwKYxi13vTNZhV0qxA2o+CyRQaUqF8TzSLQPrjGBK08pK0K9paPF8BItYT5nphX+zpQCBvvzO2juW4BLB7L5tdXToxErACJplRiDp5iNBOINzmZpTgnjpboPuPPib/8ff6DIky5ILmMn6SWvC0UbdssDnHW1soab6Ztq3zUwDKjX6/K0YhMsc/5rG39YuGNzLY3KVZ2xf0pVG3tdWB3wO3HfmyOsdkL/kwq8bZLlgxb3qgmD4XBpA3p0Ycvrtm0l9VeAt+5gX2MbnwfOldcw2DmnWAVkHrY7aeBoNm6sBS8Avx2jOzuZFUnjrKPEJgC9dQXwC4Eu3kZNhAZBaMdYy5T2YR7suGUD3XtCfbl8xiBZ9LcuqZbJNhNoEpGmibVoqG4hHrTZq8OJp5fAvT+RGDMDClBj4DwaIbopZAI5vitCHa1uDgCWYxgm+PFJDjybmO4CmJaGXldxIzSyXy5pbeZ4GsiQo8boPBoJqJETT2OI3w3eH2mfUHLO2tDwSC2jdc+d+aqpvdgX6So05EgMtQ4/02ZfZhPC3BOrSn7+l0QT3kjxIa4AM5MWyjjW51wqQ93cAvyA9jfWHnCDgawbVGCsBa20AQblsf0zeZAwBEgK8HtsR+s5LAoLkA9sVEgPZr2XbQnemaP5VDrjPr33UIABVC25wEYC5E28zSCn2ab5/dWIvp+/+JSmRClNWGO1aG5ts4B/vpYF3WZY2HtjAva0OXmNWNOxeoT3exqsBa0TDJwC+dFfxCYAv3UY6iwDYtPPRSEmr288JLdOx05LUFSdz9+bR2F3jDS2TphXz2jRtmY0QaBOXnETl73jn4mS8bXZuK9CfGYwRgP4JagpQG6FAAP/jnrEAvuRRgAAAIABJREFU4F8ljqBouNRYRdVGnKR7BwJ8BFqaawiCQLQWSIIhAb8ENFLjL1ec5bK9QCCTGCYAj22vo+aGZiefPrrAyJz/WppQLz99Ix5AZPmRWYXQfQgBulx5WAbv2vbJ/9GSgPeXsQ583dHGGAHgd4gEgN8xvm8E5ZL8aQHb8vvit63oZ1oX8FotFS26A8l+hH1Aav1lHdECEF3/DL0f6u30ly0zLnURgOKcTUYd5fMUplZRWWJfw3q3MGWZOnZoxFgbEyVx8Bq/tLFHS0EcbxzUxlIud+rU8nYRgKzpM6xjFZbbUeITAF+6gvgEwJduI53lAiRBM2u7pJbpk8zYImCbV51q1TLZNFo2DZR2jdRsS22Zzb2Aj2vaQW0y1f4WhSrp+WVDiSYkxUDEqJ6O5p82R+iXy3JoxYBqtQysR0FoJf3L4IX00rAJ9OvQSLorONUFuuR1Epzx86LWFkGYJAaYvx+1/PwbQaN8t7jyK9ZLEg0vraVGXApTq4x1AJpPZAGSi3K1gFZcZtCRGnRMDyoDc6WPvQz8xf0yWFeW1dLYqtWXmYDYIoCEQ94Xt6NwLxmTwOc31Dc6MQBMmpgwYpwHf19sB/idsS3gN8RvKa+Tgb0S1PP9JfDWCAifw4RCtl0sd0FGbetCXyey/fzH0JjFrC53phEDEK3e72QCsgHmaLiUchIHGgSgOuU86xiD/dU2LnmRBPwriTz277aQBtu9kLBU9KtttwWAVwPW6oCWvY4SnwD40hXEJwC+dBs52UHAWdNnOBPIxPvGGJkmatcN9dQy2bRNkgR4acS8JkhbWbbytMlagmzclmSspnf6RWIg4owkos2tK/9uKuhHRWLNAyyrol9rasNxM7a1AhvQXmZVH6CpM3c4Oc0l2JZEjMtDYM7nyeBeBHIM8iRoRBIgA4e1b6SBQVwLADW67HIin4etHXIdAM1nXmrW0TrAPvRSM28L4sWc/kgkpHZe+utrgbt8b2k9QEsBavKRnOAxXEUYVxjm83ghMMxnj8BZ08LLDYGijaBh+8I+cM2gmHsPum/x+UgCpGZfsxTJdm0jv5wFKLr+GXp43Dn0l8QgvdF3KN0zeaFpASi8yfUcsk8XplZRWuKpdBwIwI60EpVk2xQK2pihEQJt7NHK18YsaS2RfVASCDxWEKqksbvHOzEAl2weTvdc2J8eO68PPbCon3WFdlm+rFtHiU8AfOkK4hMAX7qNdKYFQJscRowvdCaSop2nGQTg0s3DVQtAvEmmrcA/3kRrAxZe99Q0bF5E4u2kdAdAfP/UU2lpzhQqClU6WlmpSeTyCkIrKf+CvUYOc0OLeSKneUFopTHR829chVXTmMrAT+mugRpffF4E/xI82eIBtIBPCUC5Dpr7D2uAGcxGw6W0b1udYwFAEIyadwT06MIjg3jlwl1S8y799/ka1sZLUC/dddC9B1N22u7Bz4KpPpG0cHyAXG2Y780EgNsCZgHid8vpOCVBZKKF31vGg8jjcuEu7A/YZpBQSuuBtEBJcsptUksd6rTvSBnlLN1D0fXP0GnX1JnZf2Abu/QBIwuQ7Lt8r2BiJn2QFAvifzIy3dW/440T0jrnBfBt4w4+vy0+yUYUbOVzXUYtjsVnbb9soDM2v5OdZMZnLZpqfUZJijpKfALgS1cQnwD40m3kZMUAOBNFpITG7B5LuXvzaOHXzcVm5t8x0sg0MXbXeCoQq+LaJjvbJOk1edpAum2TwNk22UoXGOf/lBX016SeDoC4NjXXKRdBGU6gXP64GdtU8KLlNEdQgMBKAxv4DEgGEOzJ66TG1XjGVNNaIDXGmtsI3k+6k/A1WCbel9cBeHxHqwUAQbCWM1+mCUXXGRkzoFkPUJPvZTWQ/vsyvkDm8Le5+MhrZTCxdPfRCEtDfSPt21bntE0mTTYALwmbBHTYLjCjkyRsqLXH74luZJJMIKiXpFW2Iy/yzb+nzNrRpn4zbsZW19ggQW0wMZNeCcYCgeuCea4+axsTtLFIq7/s9/EIgY0kSPKl1UXbP2rxFGcM3rzqVGds/tPgHiYBWDzFs15Yh44SnwD40hXEJwC+dBvpzJWAtUk0Gimh/C1nUN6DeXTZpuEGAZi56zQ1C5BtgtEmfc0/Vvrua37nkgjYJmTbBCsnW23yHRuaZfgQX5Y6wTlXWgCMyTpSZvgzW7frnqYR1XVUEFppPKesJwI/fDapmbc9L5aNZaJ7h9TKSo2uPAe/iQSnWCe5CitmAcKVgBk0Y+CultITU3TieRg4LFN7IuD/ndC+44rDMogYNfoaeEcSIi0XCP7xPujGhOeihQAtANzW0PVLuuVobjo28ozWGgTtGrHENoXtB+8ZDbtXGObyZKAytg9sh1zOgoxayq490OZ+w1YAbPe4uF0wMZOeSx7g9N+nkwcafR37kwaE5bgg+5Q2zkjCro1T8f5q70a9PlJCYyFBw1euGWKMz+P25MbG5/vGUjSj2Eos8N4dJT4B8KUriE8AfOk2cjJiAHBCmLywzJlEVl831JhgJsGCMxPvnEQFJ3zivbR+8bRf2oSEICTe5IWTp9REavfyIio14WUGAVgXXmqAC1k/LltmNJl25QNUdMXdlF/7qApuinM2Gc+oESX836Zhl37dGsDHTQMrfI2MDUANsdwny2GAqAE+Jk5IAGRArJZlR2r4NQ29dKnBchC4H23ULQtIHI42msAez5OxCdIKwMAe/frlQmIyIBnLam5oXQeAvysSAEmuZNuVblvaN5RuOpLkYTtC8qZZyjQXGWld0sYE+buiXy1FsyvapP13tuwKz/EjmJhJz6XkOv331eRMa7uU71Al9pbxQ1pkJJnSCLrs07axUHsu3ofumXkP5tGKG4YZ4/O0u3OM49lVk6xEBe/fUeITAF+6gvgEwJduIyfDBYi3glClsdDMdWsGO5PLZwMDlLc31wkyG7d7vHW5eRvI1kC3l2ZOm0Cl5l67DomIl4UAj5dHaqg65TyDAEwJzTAIAIIdLG/WuFsNoHL/GfOdjCYHM0e7gMyscbe6yAwCNamdr+jXmqoRv5sGbBCU4DEbsZDvVFs0TIIbWabUAnPmGj4P04CiBYBBN/r0IyhGTTxm7UFgzSQCM+0g+Ee/fOkGJF17jiqgHTX6WD8kI7gmgVdWILmAGboosQVAvjPZF/D7aGATYz2wvWjkmMmdBO0S0GuWANm/tD4mQTWSBz42KW9zuwgA9htJKJgA7E4Z4fTfo8E+rrHEC9jLvmED9tq5XpaDeJskJZJUcJmYoCHvwTy66OYRBgEo2Z5txmh9c1zcMbow1bcA+NK9xCcAvnQb6UwXIDkRyDRzX70y5mP6x6GmjykGANsmWTkpapOd1/naxCqvt4FVG+DXQDAf+3pojkEASlMqnHvh6qyyrtIC8OSYAocAPJ81yQVkFuRtNkCFNvlL8IT7MHAXQb+m7UfgxeVjECeCeknE8N3a3BMkGcD7M5gtj7SmAW2ob1QBNYJmbTVfLTBYuglJ9x8J9tE6gGlBNXIhLQsymxC7Bh1rMu8p040iicDz5GrDTfXNtHvrXuebsQUAgTt/IyZX6G4j37/WzqXVCL+VJH5av0JiyQHJEhh7AWRJtrV+81TO2XRoYBa9nd6fri9dbbWc2bZgYiZ9I3mK038/TEp1AX5JhLHN2+qvgWf5fr2O8zuV7o9e45R2Tzk+z7/DjNE6H2O04qQCxa2jxCcAvnQF8QmAL91GThYBiIZLqeSsC4zJY0vFKc7k8n5WYptSgNomQqkxbKs2TG4S/GtERmo0bSRDahFvSZ5FnyUlECUF6O9JPaiibwwQMAHQAi8XZNRSVk3Ml/mnwyc4BODxvCLVlxnBt7aokgQpMl4AwaFGSrRzNC2mBIXSn1w+K54ntZ/aN2cCwGlAUfsu3XvQLUcD+OiOg6DbRipQO3/45dZ4AAwMPvJKa4pOBO7ory99/o9aNPyyDpoLk3Qt4us4C9C+bXUGaZJuJvwNNww23Wj4m6KrlmyjvB/PwX4ig4P5OgwGlv/LsjUijsewnTltJWMORa97yuk3h/tkOv1mx/QLzSxa1z1Nlw642kXCsZ8EEzPp9uRC+kNSIn2cGqIjKQNUAmMbU7S+157xzUaS5XjjVa4nKYiU0Ni7xznjb+n2bIMAXHDLCHWM1sZI3NdR4hMAX7qC+ATAl24jJ2sdgGjY7WO689IBzuRyNCfJagGwack6c7NN1G25v+2c8kgNRUMllBMqojNChS5woZEKBg2Y0/yVQdkOkLn/jPmGFnPm7B2e2kcb8Jegj1NtRsOlTv52BPkI/rF8G3DH/2XaUA3oyHOlppqBpQwClll3MNBWHpMuM5IU8CYBNgJ2ds3BoNuWxlbgf+SVFnrnUOw8GZyLcQpSi491RHclru9RQXAwkFkGEjMBYJcczDiF2n58x/JdYxuWmnY+joBfI4z8vXldAEkyNCCPZAFJArYPDQSXR2pogXABajj1NKff7Jl4nhoDgIRF9hfso/fmVLoIc7zxwEZmkUBo4we+J1v58phmbYg3NhWmVlH2ysnO+FtwV45BAJZv9E7TbKtfR4lPAHzpCuITAF+6jZxMAtCaAjQWA/DVK0+l35yeQofzkunnZ4WtC810x02CfY4BsL+7MoouvYui65+hN/sMdoDMzmkXxgKBl97lZACKN+F7aQJtGlftt9QqamDHRmqktlWCkXiaRXxve+7cT031zQZol78lsJf7NLegwy+3UEP9a/Toiwfo/p98h+pefIoa6l9Ts/ho9zvySgt90HzE0MgjOZGBx5omH8t88Ye/ovPnl1P/fv0pmBSkwacOpmWLl9EbL72pltXS2KK6AGmxFvhNZHpO7a9m7ZHfDs/1siZEw60EYeOQalcaWVz3wUY+tbYbzb/KAPgvDhvv9Jv9Y2e7CUD+Va53gv9jpq76meeoz6r9lv1I1tmrb2oEQbOeaf3Mq+/b+v2CPqso776xlPdgHk29Z7RBAKqujxppmsfsym9TmuaOEp8A+NIVxCcAvnQbOakEIFxKoxZNdWmRtG3ywrIO0fZ7TbT/yOY1wbblWrkvLgEInyABBTfS2+G+DpD5WuHlFK3eT9GCG13gP949O/JddOZ9NCLAf/m9cQyAF8C3bZrGv6nhDWqof42++oPbaPpD0422Of2hs+irP7iNGupfc1kJNMvB75pa3YOk9h819xrxONZkBv7+6rmXaGD/gZSakkoVF19Bt95wO9WsqKWRI0ZS088OGa5MmD2oqb6ZHttuugBJixCDXS2XP2vFpaYez0XNOQJVLhOJRTQcsyohqUALAV+vuSRJgop9HDNWyRiAH2RPc/rN06ed5SIAZ4683kV0uEzuo7x/58grnWOa5QKfX3vXtr4jxxUvoq5dI4kH/8X369W3yiM1zloAcqX21deZK7UXLprXJitDR4lPAHzpCuITAF+6jZxsAhCNlFDOuomOph8nFP4/Z91ET+1/Z4LZL2vTMrPYtv9NSHKAzE0Dpjg+/xIUfNnP5LV9kfp5ESeNAKD2vC1EALeG+tdo2YFLPUnqsgOXuUiARi7Y/YfXBtAy/siMQEgW2Bowb8751KNHD3ryoacd4sBl/1f9ETUuofVZGp00oNcMqjEsAAhIUevPAJ338/vnMvj9y0W9ZJpO6UojLT4aAZCgGYPI+VoN+HKd+Prl/dfQKIidOZA7Uw+ev+7p1vNO9CN5X97HBKA8UkM3R1erVgIJhDVXHM0yoLkGyWM2K4L2LjQLi60P4fWFqVW0MGM15aybSOP25BoEYM3aIc4aAThG20gMbx0lPgHwpSuITwB86TbSGYNqMDHTe0vOpFPmZ1HOrjEGoMrZNYZOmZ9FweQ41/+Tb38MJDhAZmWPjC+9Pl1h23LHTqqvb6D6+sYO2Tb+YHObLFWbfvDVDrun1/bSSy9TKBSmgoLCL3B9A225Y+eX/o2+jK3PWSscoP9ofonTb14cNt7Q/veZvuJLr2uX2pIz6ZTzRtDL41OpfnIaHTwzjZZvHPaFxuiOEp8A+NIVxCcAvnQb+VIIAEwyvXKj1GfyMOqVG+32wL8yMYMeS0ylhxNT6abEyBcu588nQAwFAnSFTwAomNixBOBXB+tp2r5pbSIA0x+aTr86WN/pBOC5516gQCBAFRWVPgFoz5YSpcHVj1B0/TO0b9w5Tr/55dCxNPSEZWBw9SMUTIm2qbyRiQPpF4lB+s/EJDqYmESjEwd++c/YmVtqJg04ZwSdekEWDThnBAVT219GR4lPAHzpCuITAF+6jZx0F6CT7ErSHn/aznBbwe3B5CFODvFfBXurrizx6h4Nl9JfAz0cIPOV5LyT+r476l101P35vdliALz8/m1uQY++eKBN4J+3R188YFx/8OBBV5nvHnrL8enHRcG0lJ647gDn8v/Vj+spEAjQVVdUq+lMvdKDNtU30+M7zJWA8R1W9Ks1MvPwPj5HS02LgbiajzsH+kbDpU7ZMh2sdBfib8vxBpy1SK4kjG43si3KmISpM3c4Wv7vjj/X6Tf/OSTPsABMLdxhlCc3bmuz0qYba3lcE75QdWuyuSe1pS95xQjYjmn3xfLixRDIfQszVlPB4nk0dvd4o62P3TWeJi8so2ikpM336ijxCYAvXUF8AuBLt5EvkwBsyRhFb/YL0eF+Ifpen1M6FGCe7OvjBddFw6X03ZQYAfhNejplRYqdYxoBsG1tJQAd5WffUVtnlC0JgA3UtycO4P6ffKddBOD+n3zHSgD4nv/z6hEnRSgDe8zyw2sENDW84RzDrD6vHPwvSg+n0+zCEjV4+FiTmfsf4ww4BoABdDAxkzYOqXbl3JcAHYOB+XwMbJUBwxKwMxjkmAFJKvh8vB+DSl4MDAOCZVCxjCnA/wtTW9fPGFFd58QAWAnAifUzFmS4V73G59AIQGnaNOMcLx977XdbxhAN+OO7sqUI1WII2lSXSAmdee0MJ9uPLU6LMwB5xTFEwz4B8KV7iU8AfOk28mUSgD29hzoBZvV9MzoNeH6ZYLUwtYqyIsW0bXYufTIpJQYehvek99f2pW2zcykrUtwmAsB1+iTQ0wEy64AAeNXZlg3pH7WKfJH31l6NqNfmZQGQKTTjpQH9RywASDAkAXj30Fv03qG36P1D5mJicqEvbeEyTBu6YG459ejRgx7f95RzvrOw2Cvu9KF8j8b6Q7Tnzv0OWAwmZrry/2NeflycS9P0Y5CwzOOPhOKaQTFSwPeR60QgiNWsDjKIVSMC2L6NtpNdYWj5HwYXoF9E8z2zAPG9sX8EEzNpTfgigwAsT1lk1E2SALReaG27raRB68uS/Gh93kv7bxsDvkimNmmpwK2jxCcAvnQF8QmAL91GOpMAxJt47u09zCEAr/SNdAgA7WpbVqSY/nPZaUSbI/T59GAMPAztQcc3RYg2R+j5ZUMpLXhqm8tclDqZFqROpjmpU2hcaKbnpN7WTU7g/8gz28CL1/62liG3YGJrZhYkAFLbL1f75U3+z/terT/sSv1pjwE4i16tP2zcDwnAB81H6O2mGFBHQI8LiMmMRVLDf+SVFvrRD39G/fv2p9SUVFp+0RW08cZb6Oorv0LZWdn00k+bXIuJcZmN9Yfose11DuBnAsDvWAJpuRAW75ckQNMs4zHW/uN+1PrLayUJwLI0zb/MoiNXEJ4kFgL717zZDgH46fAJLgIwa9ytrnaHxDmYmEllaVMNAjAz7aw2tVcJ9G3AXx7XMgxJDb5XWV79UCUIkRIat3u8K0Ob3HLFOgBa3bjMjhKfAPjSFcQnAL50G+lsC4DXJHd37+EOAXi1X/oXBqwn47ovWu622blEm1uBPhUAAcjsEdu/OUKbCvr9Q/dFIKSBJz5mu04DcJqGUXtOLQc6b1gf1irzPbSFozB9IWqlpaaXf7MFgBcCk+CXQTVq1xGE8zktYlXeW3/w9TYRgDue3ULvHGrV8nOu/4MHD9K7h96i95vfondO7MeVexHoo0UAc/4j8OdrWhpb6Bc/+CXNm3M+9e3dl4LBIA3JHEoXLbmUfvPrN11EgkkELwSG74y/B+fZRw0+gk52w0G/fdlu8JuihUBbVRiv1Vai5nPQAoHtgv+XBAX3OVYDYQFYvmgzbTvrYvrGlMV07Tm16krAEiRjvYKJmbQhvNggAEtTLjSeDWMfuE5tSePp1ac1siz7gY10aH0bz5X9b1r+UqdtT7xvDP0+2pM+HNGT3huVSJU3DnO1/xHjC13fQdaho8QnAL50BfEJgC/dRr5MF6CdvbMcAvBGv1CnAHNtwm0PsP5HtqxIMX2wrq+j6aei5Bh4GBgjAMc3Rejdtb2oKFTpmrRtE/ozEy9Q/Z7xWi1AE98FumRgjnXp6y3BivQdRyCIgA/3S5CoASx5rswhj0SC/7IFYM+d+6mhvtFwp5FBsUgG+Dz2mZeuQq/WH6ZLD1zuCf4vf+Jyer3ht0557x5qLY8JwLGmVt/83zWZOfsxR79mCcBFvKSLkuZChHn/+bl4zYGmhjecIGAG80wAtLYiv/2GwTHAjW1EI3MSUMrvJc/He2N9ZCAvXsurAku3Iw3oLu+/xogBsG4n1gEoCK1UwTSXGUzMpDXJcw0CMDFUGBd428YUrX/J/hRvTJLnaffW+r92bnmkhrKmz3Da9xSvlYBPbFnTZ8StS0eJTwB86QriEwBfuo10xqDqpQ3C3w/1nupMLu/2i6jntAeII4BsK5j3qqsNXHuRCqzzlvzFhpafzgEC0DvBPLY5QpvGLDaAgbw/gqYfTV7sAlsInGxgQmrTEfTJVU01zSwGdEoSIV0KcLVXDewjWcD3JleS9QKODGbZBYiBtgyixeBYtALgYlsIso+80kIN9a/RbT+8g8566GwD9Jz90Nl02w/voN++8ltjoa63TwTiHjx40Mn2gwG9aHXgQGAkApp1QgYLI5lBMoBWDyQ1h19uoUMNrSsB8zdjFyD57aU/vyRluDAYA2/WeNu0zBLkSrCvtUPZzzYMrjEsArKdMinANsttCLMAeW4FN7ruK9tlMDGTNiSXGgRgdKjIc7EtDRRrINk29niBeG2fzRrQlvG4PFJDI8YXOu284K7TDAKwfONw1QJgG6t9AuBLdxSfAPjSbeRkWgAkQL0rEiMA/9c/zarBkpumZbSd5zUBalpp2+SIk6RGDLTJ9c4J55kg/zwIAg4FXARgY36ZCvhlnZf3X0N3lVTT5dNvoUtO30QFoZUuQKARE+n3LQG2fEYEQXKVWD73mkGmawhmgsGy5XtGEK9piDXSIMtkbXZ5pIb2batzCAAGyKL/PwJkBujS5QZX6OXtzZd/S3UvPkUP//sj9NTPn3Z8/vlefN47h1p/Hzx4kI42thIC1syjdh7dgRjMM2hnEvB2Uwzko/uSdFXC8jVicOSVFmpuaHaCgDcOqXZIkySOuKIvtxFJCOU3ktp3CdTxWv6LqwxjIDG3N7ZUeFkZNCuRNsYUhFbShAv3Opp+qfmPrn+m9bhYBRj7D98vmJhJtyTPcvrw8aQARUMlqoJA67daP9DOjTe+aGXHOwfHYK96RiMlNGZ3PuXuzaPS7dkGAbjglhGuGACvFdu5bh0lPgHwpSuITwB86TZyMi0AcuLZ0GuMM7n8uX9SmzVW8YB6W45JsBtvQrbtRw2pnIzXZM83Qf7iVEN7SBvTjeNrsudbzfkMZqKFN9HShbfSxtkrafv0i2jtuVdTtHo/RQtvchEBCc5sfvracQRdrOVlQKalj/SyBmhaZiQT+O4Y2GvaT+mewqCMCcChhmYDBDMQPtpoasoxHSdq/nGf1LTLv7hJEnHw4EFD448WAqnhx98YAyCDmZFwtDSa97XVzYl5OOECxN8MXYAkcZRuPlKrLkkdt7GNQ6o9v6PmQoTZhpB4IFDF9o9EQeu32A/x+QpCK6mkeEerOxAQgKzqAzS1cActyKh1pTDVyEAwMZO2J5/l9N8/JSW73h/WRfZhK+iOA/7x2njAH4mUV3m2OhWmVtHkhWWU92Aezb9jpEEAzr9jpKH9L1w0L+74Gg37FgBfupf4BMCXbiOdaQHACVlOEuWRGro1fZYzuXzWP0DRcIk6mciJygZebNd4kYK2TMoaqNDqJMvIihTT/67rH4sBuDTNJADXho0YgKxIsVpmYWoVRSNlNOGiVk3mo2OLzXSGJzSZOUvud0gAAzPctABObUM/ay0lpJY7vqJfrQECUduL4A+PIeDS3E6kuw9mkEECEA23pgFtqm82An3R7x+16/xXxgHgcQbXSB5Qy47nINDnGAC2QDhpOhtjFgUsT2rsUbOP8Qp4TBIEra5IEhrrD9HjO+qc94guQJL82QidBt6xb2C7YGKA3wm/JZIIaTmSx7HvoRWA25Rs05Kg4LVfDc2nO3Ir6Ypx19GF+RtpQYZJMrRnwjYZTMykLSmjnP77u6R069hg++1lbZPHcPzRytTGPK//bYRDjmkFoUrKWTeRLrp5hEEAindkG+sALMxY7Vke17ujxCcAvnQF8QmAL91GOjsNqA2IR8OltLPfPGOCyQkXWYF1PK3VF53wvCZPqc3TNumCIH3ejSxAK0MmAVgdMrIAaeTGmfwLb3I0l9+YstghAG/0Hepa0VS69UgAxvtRky/BNf5GwCXL0VwxeMMc8BK4470lyZIAE4/Je2EWoEMNza7MOpjpB8EzB8miDz8G4vK1RxtNNx/pc49uQAzmDx48aC1PpvrUXJVwlV8kFzIzkBYsrMUINNYfot1b9xpAFgmZBO8a4NZAObYHm8UHSaNmKcP7Sbcfrb3yvXANA9sYge3lnJTLnT5DgQB9PXWOOjbJdo1lBhMz6emU02OL+SX1V8clzqwkxwgNwMtxRtZJfietPDlGeY252vvRvns0UkKXFZlBwNPuzqFxuydQ6dJ5hutPvLG5o8QnAL50BfEJgC/dRjrTBUgjAPh/TdgkAOVpF1uBudeEJjVk7T1PAnxNpCPkAAAgAElEQVQEOfJa7Zm06/l3VqSYnl82tFXTf02YaFhPotxEoslJ9PmasLEOAAfYuu4TKaNozX5H079p9koHyHyUEnataHr1qfF9pxGISU2ndMeQRED+ZjCPLkKssZcBxpI8ICGQ7kYa+JHXMgF4bHsdNdYfcrnAIGjGOAAE7Ecb3Vp93s8Am/+i2w5q3/GebAHAc6U1AuvFhIQDgxHcS8uAvKfM/oPBzUwgOAgYCQACbfx2SLDKIzVqTAcSBt6PK/YaxDVcqrY1dAfje6AFCb81A2oJlNFShcAYLQN87rLkJQYBmJs6xaqNx/6B9w0mZtKFaWfQY6mTqSEjl+5LnqSCXm0ciAfGteu0OsjxKR7Y18YzSark+QWhSpq8sIyuXjXUGJ/H7s6jSeXnWMG/7d4dJT4B8KUriE8AfOk20lkWABvoxwnp8tAiY4KZnT5ddV3RQLecgLwyccjJUquPDcx7gXvbc0qQmxUppq1FufR/6wYaPv/vr+1LW4tyqShUaQRmSsJRnLPJ0PJXLbjBADM5XzF9m88ceb1ThnTtkJM/72PtqwTZMjOLDApG4ISkQVpCJBnQCAHe0+YywuBT+rOjC5D0jddcbRjcS5KgbS6fegDyMm6AFwJjC4PcjjWZ1gPNqiDTkmr10IiEFufwesNbdAiCgBnI2uIyENRrbUX2NWk9sH1P/CsJhSSDcsyQdZFtGcvRxonySA1tjSww+swZaYVWzbwkBLwvLXgqrcmeTxvzy+ibExZTVqTYCua9rIbxxpx4ZMB2zDZWymfxJA2REhq/9izKezCPNl15qjM2/2lwD8P9h0mAJEDaeNlR4hMAX7qC+ATAl24jnR0E7AW6z0u9lJ7rfzq9mZ1LN2aMpvlpl8TVJtn+ynvYgLrMgiHBrRfhwMlNcxHQJnMEGVmRYlqTPZ8eOWsercme7wAIBrLaM5VHamjWuFsNgD/nsp0GmCm64m4zu0n+VcbzaqBM7pPkAIGVzAKjAQ4ukzX45ZEaujm62gBrsgxZR/6NFgAJHpFcsD97eaQ1CLi5odkAy5gJB/3kZcAsg21M2SmPo0ZdA/N4v4MHDxoaer4npv6UmnwkKOhaxJmEkHwgOWDrBVoBZLnNDc20b1ud853QBQi/MbZ3dPlicogLgslvhtYbJJ2YohMJJrYBtgBgQLC0JGiWKmyL0uKA/TkaLqUHwkVOf/l7oActSq+2gmI5ThWFKmnb7Fx6b20vg8B/uHYAbZudSysGVHuOc7KNe41xWl1sYF7bbxuv4t2Pf49aNNUJ8t1+2UCHALyTnWQEAI8qn+o5PmOZHSU+AfClK4hPAHzpNnIyVgL2IgSFqVV0sLDMOoFok6YN3LdlsrNNilL7KEGFrJc2CeP1mlaPgdBdo1a6QA0TAPXdiRVN82sfNQjA5eWmhSCaXWGQGRloK/3v+X8t+FO+H40o/H/sXXl8VPW1HzCZZJjJEEjCDgMJCSEJCQFZwpIZEpIYFxACxAUUY0iEbEBYRZIqLhWoLGrdQKyKisYV2/dqtZutS0kkLHXps0XQPqu1tZt9+iqe98fk3Dm/c8/vztCXYJre8/ncTzJ3+d3fvfe3fL/ndxZ+L9TQ47kbhplJAH1HOi0xnkPL52YpuALw0PYWONJ6zKQ5p4BYcgKmBIBq+XXRdaTyuC0+XQGgoJ37E0iJvXSRh7idP7f5p+ZNvz2irgYcaTUTANr+8J1SUsAdYul3pt+WOwdjOfT7bR5ea3LapURDIg6U/HHSwNsxbUe8f+O+70TlGv3lv3v3FcmoNL4Uuivh1cVjDGd9SgDw9yuL0xUHfitAz8cY6Z6c6OjGNF6mdE/dddLYhiFAszo0/XsXJhoE4M3xsSEC0BEC1O+uFO/J69NZYhMAW7qD2ATAlh4jX0cmYAo+awbWw/HzZoVdMteB+HCTLdeY6SZN3WTJJ23peqvleem+qBmn1yIB4NrLMm8d+N3VkFL3ZCiO+bqD8KcYtwFori9YFoprXnsA5sWHNKn0vhT0UAdd/nx8o++PfzuumaXl435+Hq0P1QpTzS8mf6IEhtt2IwGoSKw3CIBk90+BOvcPoFGAuDaeJgrjfgTSPfA+hw4d0pofcb8A3GhEIk46dJGAKGHhycao70Jbazvs3XrAeG9IALgTLwVv9BtL34+Cc75SxNs+X8Gh35rmBKDafzyXrwLRb0/vQ9serQ+W87OoVKO/vN57mHYs4YRgb8E0U74OadtWmGkCwOE08JTsWo1nVuA63DXSOMfHMvxLk4BlPZAFT58fbxCAn093a5OAhRtHO0tsAmBLdxCbANjSY6QrfQDCgW0EIS05ixXwi+fQJXxJo0UnOGqjHOlkyTXS0jUSeZAm0HCTOCcMtQlVsKnf5YpWlj+nAsZIFCDf+ufh8OAQoHlofKmxv7hohwKCuGZRCrdIgZVEWLjmFgHchmF1pve4erAK/hHUSd+G15OTFAl08veDYHbv1gNwvO2YouHnIJ861yJYpuE5aQZhSgy4jwAnENJqgxSOk4N0Du5peXQlQiIa3NGXmi5RknGy/aQRBQi/H5pN8e/AwTRt3/ybUoLJvwltV9geaJvi9v8SSZAiSEltSLo373d+dzW8HTPQ6C8tUVkK0ab3pu3eFMa30QOw2AVQ6wbYFKesBPxxzUBYRMJiWo0HVmOGDrBbgXx+Hv8muvL5tSnT8xWAv+jGFNhYNxS2XTUI1jYMMxGA4hmXKGVKdQ24bB8AW3qW2ATAlh4jZ2MFQDcx4OTxcNbSsIDdqgzpuBVgt7qWAgur++om1nDlXh9TAH+JdnYkEnKCz10MAZeanImD/4CrCvzuasguv9/Q9LdkzjIAzavDs4KmQeX3g89bagL9vL58X5m3zjDTofdHkw4enYgDQQrOkRhwLSxei2VSUCcBe6kudPUB74Fg9rHb1ERgPAMvJwacIOjs/nW+BHj9B8TUR1cOv56TAATtlEjoVgW4j8KRtnegrmolOBwOpV7UCbmttR0eu63FANaUAOC75CsBfKPfl5I6/p05sJfaF22D9BopVCiaFFECQsuV6orH58XXgy9wHaTUPA5/j4ox+kuTfxnk5G83Vsp0wLo8fao+kZ/ToZAAaPZCefpU0zjG3yn3QeKAnY8p0rimG6d0Yxb9TfsQ/8tXAMJt07LLtfen9+wssQmALd1BbAJgS4+Rrs4DoPsft/NcV8HTY+bDvUMuhnrPRaZJ3kqTZjX56CbKSIgF1w7q7q+bwCVggudd6Zqg5AKYF7tYsWWXQAPuWz6oAfICwYymt/iXGoDmD7FxkDNzK/jdId8CyUQC/6dmHTqAwDW5eA7+v3l40PGRRvehoI4el74lBYNYhs5hmb5neo7kA0ABNgfWVBsvAXwK2KWEXDyfgLQqQJ2JUTtPQ3tK5kd8ZUC3ksBzDuBxJABSpKC3294znICxbeJqE7XLp9+XEzD8iys+fMWG9wMO7ul+GuaVtzV6LfU34GVK4wMnDn53tZE4b+ayexWfmUWX3GxKnCeNEVsnzFEJQGFMqO/272UyA7pj8lztmPf/2fh71Z0jkX1prJTGO5+nxOQDoNsy92XBuF254PMWhx2rAy57BcCWniU2AbClx0hXDKrcgVSaEHHSeaDfcMPO9HjCANNkH25ylDR4kibNipBwIGFVnm65mwMXafL2eUpghnumQgCuc89XQJlOO0f/+t3VsHLwQgXULIi93KgHgnvU3EskRQJrFIhTe3xaLn0HkvaXg0iu/aSmIxy4IGmg71LnGEoJQJm3DvZuPWAQAMlpltv+S6Y83PlXcsw9cTgU/QeBOY3FzwmFZNLDY/rz4zwjMZKM94+okX6wTjVVDeBwOEz3R9LQ3nrUIAABV5WyAqBbfZEIME3UxaMIccLIvzsvi68K0X7FySsnAZys8PIqEushJ3+7YRZXffFGpa/k1D+iJM6j7ZDWz7QCMD4q1HdTzzERgPL0qeL4xPsevx+ttw60W4FsK/AdKcHAv6kLp0ak/Q8suEg7DvPn7CyxCYAt3UFsAmBLj5GuNgHikxqfeJ4ZMM0gAJ8kucWJUQderSZGCbRLhEIqU5rQaL24tlHSlPOy8ZyFcTXwefQ5BpD4VswMxZRFAgsU7BiAPfZy+MJxDvzN64Ufxo6Dxn5XmerKTTKozbakneX3wjrQ6ziIR3BHkzVheRTYUe0x/qb1kBxSpahE3BwJVwAeuy0YBpRq363MebhJDrfzp+Y+VLPO8wNYafjp6gEnDHgdXXHg0Ya4qY/k0/DuGyeNFQBObLCeba3t8OTOFtM74+SPg2xsMxy863xGOHngUYPod8PvL4F7+u0pMEbzMd4m6XiB2n+aOG93XrkB/j+IS1IS56XWPQnz4uWyTD4Aw3qHCMDUaNEHQKcg0IHySMYtqzGLE4pIQb94f28xpK+dGBb8p6+ZYIoAZLV1ltgEwJbuIDYBsKXHyNlKBKYDxTfGzTIIwJdJvWCRd4WoLaOTIgXg0rlnMglyEmGlydIBZx05ofeh5R53xhlA4rUBI+DW7IXQxznE9JwSODc2dzGsGbQCbk+tNr0PPIeCN9zPgRg3teDaWp2dN9plc/tseh7afeM9KHmgIBLt+TkA5OASwR8lWjQPQHvrUZONPBIC6vgrOfhSLT6P+f+bQ7+GXz38HPzq7v3w7sPPwXutv1buw+30aZIxGh2IEgpu7sN/61Yd9u95ArIzssHpjIHhw0bATZtuhmuqag0CwJ/j3TdOwpHWY7B72z7j22EmYNq2ebZd9P2gzt20fVEAT7/V9b4apZ3xjMG0z1AnconQS32ctg1KRGm/LM9pVhzm75i6EP7cETXr+6lT1ZC5HWFzpX7s85TA9tmZQaC/OQ4gNrRyBxfGKtr/PQXTtWBeUhxYjUXS+MXrpyMCkZIFacyiOQCKb0uDb1wzBKo3+uCiW0fDuPszQzkAFuSFHWPp8c4SmwDY0h3EJgC29BjpqkRgukmMT4y1njlKNuBr+l5pCcD5Ma51D6c14+YL4UC/jijwiVm6j0QKUrxFcHxY3xCQGBU0JfiwsS9sn50Ji+JrREBEgTct/+4xywzTGQreqPaUJtWi74SHZuRghZvf6N4dBXdUs89JCAV2eC5/TxQ84jGdKRNdOdm79QC0tx41afd5pB8e/59qzelKwYnDJ+G/fvFreGvTTfDm5Knw5ph0Y3trSh786rqb4a3X31VWBbhpDtXqc6DPNftIGHg4Upov4IUnvg+xsbEwZNBQWFO3HlataITEhCQYmzYWHA6HshJBTaHQBwDbABIADswp2OerMfgN6PfiKweUCNBjfEPgrgPHOpMg3RhAz/N5SsCXvcIE8keuew5mVd4NRRV3mAlA9gotMC50V8Iri9MBatyK6R5U9DFWBl5cPAIKiUY8HCDXjTn0mFRGuPFPN+5K4xA/x++uhHG7c41sv+sahhlj8umBDhi/J8Ow/8/YlW1kAo6ExHSW2ATAlu4gNgGwpcfI2cwDIAHoqXH5CgG4xHuuOIlyMCyVF44I6DRxOm27DnBI2jjdxM/BxEtLRgCcR5wJ3Q6ApjgtmKCgmdaXmtLcn1UBRelNUJCzBaaM3mhEAuKgjIMl7gRKCQMFGNymm25oF85NP7j5EScWnAxwwsDjw9PvQckIdQLGFQAEv1KiL2pvrwvJ+Xbbe/DW6+/Cm+VLFODPt3cuvQL+6xe/VjT61PyGxuLndv/U/Ai1+yeZ+RKv4+xAMcTExMBPv/uKsf8/W16Ec845x1gB4CZCb7fJicAo6MfvyME2JQG8//BsvVIEH0oy8NvS39L/eG88l7YtKewoB80VifXBPsBBvsU2ZfRGbX8PuKpg2YBa+GFWmkoANsTBJ40DYFthppEETBoTeL+xAsqS0iDcOMrHxHBAXxorfZ4SmJZdrpj57LxigDEmf5gaFVEOAN09OktsAmBLdxCbANjSY6QrVwCsbFJxf4GrEv43qbcx2aztm6kF7jotmE4ryM+hZi10opTqSQFJuMlXur+UaMswJ7iyjwomat2mpEJSPTjAmhdfD0VFO2Hi5kcUQJNc2wJ5s3bA0qQGhQRIQIuTIkmjSIE4NwWi9bKK6hJwBZ18qQkQBYD0GgnscwKB+zkBkMxpKBjHfSfbQ7b7PCPv223vwa+uu9kS/ON27LotYnhQHo5UyuobzreAav/fOfQbiI2NhYtK5pici2fNmGWEAT3FVhIwCtDerQcUEyCJDNJ3TIE9t7dHsy8K+jlJxH7Gr6PfX1oZ4uSRHuNtiq5q0T6YH3cNjFz1TChxnm5bdxCSa1vA5y01lcH78wHnOKO//sHthvL0qSbgrxvrdGXq9kvPJK1WhgP84e5Df+fllSkAv+WCfsaY3Dqlj4kApEzPt7wP3ddZYhMAW7qD2ATAlh4jZ8sEyGpZ+3cDQhknH+473gT6OTCJROsUjjBwUwapjEgn9nATc5k3mFTo4zUJQU3/+jiVAJTFKg6FHzUmQIq3SCmTA3O/uxrSF+0NAv41z8CcJd+C86/cGcoIvP558JXfDj5vqQKUqKadAnAKwOh7l1ZHqMaXgnIOzqk2n4J5+t6pppeDRroKQMERdQR1Rg2F1YPrTASA29tzMsCj+1BH3Ldef9dk9qPdJucppkDU70DS+FMzo1PEkZevTHDScOjFQ+BwOKB2Wb1S7sn2k7D48qUGAeC+DW+3vQdtre3wxI4WhQDQ90rbFZqP8Q3fvW7lTEfm6Lfm/RhNwHj7pt9YpxXn5ACPzYuvB1+5YOaj2XLyt5n6K//f5ymB9uhBRn99OTZVXAWUxh7d+CPdi5/PVyppGfzbRAr6efm4j+cA+MXUPsaY/PT58eIKAH823b07S2wCYEt3EJsA2NJj5GzkAbCaWAOuKngxIcmYbF5JGB1WY2U1afLJjV8jmThYTdY68iCREa65o8ebMhaqYQMHyRFFeFIhDrSwPAxzeNfk+fAXpwvA4YDvpU0TAQ5//3zypwCfg3UO2jjQ4++POvzifiQC1ImXr+qUeetMyZ7wfyQC1GSJrgCUeVUfAKo9l4A4NfmhTrfGKsDDz0UG/tEn4KFnlag83LafmvXoSAlPVMbr9PL3fwEOhwMaqurhSNs78P6R0HNedfnVBgGgz4R1amtth71bD5hWTXg7wCg73CSM/s/P5+SZkkjaNrj/CTcb4kRCchrmwJe3vTJvHcyavVPR8J9b85CeAJTfbuQB4OQCny/gqoLC2Er4e3Sov94QO8aSkPC+Jq3A8fEh3PhjNebxdySNQVJ/p+f73ZWQsTvb8AH43egoY0zetWSAkgMgY1c2+N2V2jHSJgC29GSxCYAtPUa62gfACiTjxLWnn8+YbE4kJojX8klOcmjVTZpSWVZAX9JeWk3I4e7n8whJhSZGhwjAsN5iUiGqrVc04d5SSK1/EnzrDsIuEuLw01gPjFr7rGjiIIElBDk6MEJBkEQWKCCjAFECcJxAcCBCy+VAXzJBodrsgCuUCIw6APN4/hQ4033UWfdk+0l49579Z0QA3r1nv0IyeOhPbtrDow3RlQBuRoTnownQeSUXmByIqQmQFH70eNsxeOy2FuM7ogmQBKZpe+PHOZCnhBHNu/D70HOR+EmhPyVSTVeP6L04qKa+BT5PCSwf1KCE/yy4+i4AhwPeSRgB90+8CCbUPhxaIVv1FPjiLzC1Rz4OVCTWQ1XsPGXFbnnsXKX90/4hrSbqgL70l6/U8f4qvQsd8JbGK34tvQdGAZp0z1jFL2v16uGK9j+1LC+i+2HZnSU2AbClO4hNAGzpMXI2nIDDaYq+5Z1hTDb/k9QbRnmKtYCbTrxWwFWagCUgazV5S5O2ZBZDr+WTNu5rSJurgvy5sSFQMbg3wHVxyvGmjIUm8INlF6U3GSB/4WXfVJIcXbx4u0nTWZ7TbNKmcvtsBHwU+FENr2S+Q98RBX4U0FGQSIka/kZQiIAOASIF+TxMKGqqA65gTPuKxHp4aHsLHG87poBmCYTTyD8csCN4/s3+M1sB+NXDz5k0+3jvU+1mx1yen4ASEGkVAP9SJ2C8z0tPhZyAubkRmjq1tx6FvVsPGN+TJp2joJ3b5nNwy0OHcrBKVwioadfNo1aYtPx0pSngCjmT8/IpEJfAsK5f+NY/D9cXLDP6xf/2PgcyVj5ucv7lJF/6vajPJHg7OhG+jHLA59G9oSj2auX9ScCc938+rug09uF+83ty8sCJnA6US/v97kqYvs4Pi25MUQjA/FtGGysD09f5tRGAdGNmZ4lNAGzpDmITAFt6jHSVD4BOw8UnnzJvHWzuO1+ZcC7rc4kI7nX7OCCR7qPbp6ufjkhwAhLppG1KKrTaA1DuAmj0KMCf+gBwomKUT8Icjl7ztGECBA4H7Jx2iYkAFORsMa7n4E4CFNzEh29UC4/nSeYcVNNLQT2CTJ58ioJR+pc+O/cvQHt2NAGiNvDc/IY7+vLEWbj95tCv4c3JU+GXkZj/TMmD3xz6taK5R2D//hE1KhDWiTsdn2oPRQLiGz7DkbZ34PnH/hNiYmJgyKChsLZ+A6xcsQYSE5IgPTUYBlQyIzrVHgwD+sSOFgMU0jCg+Hf1YDVvg9RWpNUduoLEVwAk0mxFGDn5o9dakQE87/K8LUq7/8nIXKNfvDJinKlfTMpqVurN68JJSELUYNgSv8g432oc0ZH3cIA83JgnjWlWY5vV+CeVNz++Bhpnjg7lZhnogIn3ZcC4XbkweX6pAf6lsnTld5bYBMCW7iA2AbClx0hXrQBw4MbBJd3m9lliTDj/nRgHy90Xi6Yp4YgAn7yl86QJXzdR830IPnT3kiZlWg8jClCYbVthpiX45mEOv5c2zQA6xwckm4BOUXqTWD8OqqgGk4NvDgDp81PASM0+ENDpNMvcnIe2G35vvkKA9cQVgN3b9sHRtmNG5B0d0KeAnJvSUBD/X5sjiwL0znW3mGL7S2XS+0r7T7Wb/RIwazB1Kn7kvschc+w4iI52woiORGAN1aFMwHyVAQkARgHCd0b7lE67TgmaBLx5nH8kGFgGXbmhply8vWE5PNmY1IcsSWtahdHmM1c+Dl/0jjL6xU2Bq8QEYBIZoSZnlHSiuRkfW6QVCStALI1b0hjCz5WUDrhZafutxkO6Uof77+w3yhiPPxjqCYb89BabVhgifebOEpsA2NIdxCYAtvQY6YpB1Rk19Iy3vJgk6B81+J+69l9l6+McAt+9rJ+h6eeaf2j2wncv6wd9nEOsy3IOh2G1+2FEh61z4/krFTOg6dcEowONWHcQhtXsB6dz+Nf+7F293frNndDa2gatre2ds73WCsfKL4U3x6SbVgLw97HyS6H1tdbOu2eXbW1w6zd3fu3fqMs30i9q5qxT+kRB5V0G8P936hdnvMUMhf8Y5jIIwDP9Yv/fZXaW2ATAlu4gNgGwpcdIdyEAOPn0zfRB/8kjoW+mD5wx3WBC7OStj3MINPkT4cPGvgoB+LCxLzT5E8OD/46t/4xlBqAZX7cfvuzV2wA7N8y62jjWf/qyr/2Zz8bW6QSggwS0b2qC45OnKATg+OQp0L6p6V8E/P8bEQDSLw6OmWH0h3f7DzNp/yPpF32cQ2B28kBYmDkAZicPjLhv/ktuMUNh0MUpkL4rA36bFm0QgG/PS4RBF6f8v8bizhKbANjSHcQmALb0GOkWBIBMPjTaRPqujP/35NNdNw4u4qIHw6CoQZGX4RwOAxfcbGg0f+bLNgBP2+Ax4Fv/PAxccPO/jZazSwgAIQJvPLgfDt91L7zx4P5/IeD/70cAnM7hMOrib8Bn0TFGf7hj6kKjn0TSL/o4h0BzIBF+19gXoMptOOh/2NgXmgORk/R/mS1mKIxcPQayHsiCnD0Z8CN/HPwuNRgGdOWqYZD1QBaMXJX2T4/DnSU2AbClO4hNAGzpMdJVPgCROLOVeetgfnwNpK+ZGAT9+9RkMxh5In3NRJgfX6O1kaW265KdrGRfrrOX1UXu4H4G9DiNcqO7hj+/YTfvyoWfxY6GP0b1gh84R2v9HiR7Yb+7GvICOyC17km4tniFYvJw6fTrjAynaCPMfR7o/zyLLz1O/QG4Iy+1+0Y7b5rEiTuMUntj7kdA78036hxK7ZqdUWoYUJ4JmCbYokm4qHOw5B+A56PTLrXbP3FYtcunZWBEH553QJcHgDru0qzAJ1lGX14GXocb9yGgkYeOth2D3dv2werBdYbj9Obhtcb7xP26dseTxknRbrijbjhnYOo3Qv0GePugbVXXdnm/+EZModIXSpfuDmr+aw+Az78J5sWbw9BiOSneInhpyYigWd66OIAYB4DbAZAZBaeXBzN2v7h4hOKkrxs7+PsKNx5K5+jK5GObbryIxEZ/8vxSU6KvrAeyYOYd6TDp3gwl/Cf/DpHcs7PEJgC2dAexCcC/ufz1r3+FpqYmKCkpgX79+oHD4YB9+/aJ57755ptQUlICbrcb+vXrB4sXL4aPP/7YdN7p06fh1ltvhZEjR0JMTAyMGzcOHnnkkf9XmZHI2UgEZuW8Jk4++zIhZ2+msm/y/FLlOikSiASSJSc4KSKJbpIM97/kCCzdl0/g+PdRZ7YRDvTT6CgoiK0Ur5ecgrHe8+LroWRUA/zDETID2hN1rolwcMAkASnumMuBGQJCeg4FJRT8U+Ihncu/I0YGog6NnCBgffEcZ1QwEdgTO1qgrbVdCaXJATEF2Pwc6ToE6ZQ0cHJBHXlpxB5KHDAcJyUjuI/WhZMETiJOtqtOwrzu/Fmx3PbWo/DkzhZT8jQetpNHBqIEgIbrlPqfFBmI9iv+/TmZ4w7CtL1KTrY6UhxwVcHh6JFGPzgR3R9845YHHX478mHwetH7PFqUHzLNW+BSM3bXuY1jewqmiyBYB9Al5YcVKNc9p+6acEEMdNf73ZUw/vYJhrJFu3UkANNFAZLGCZsA2NITxSYA/+Zy4sQJcDgcMGLECAgEAloC8P7770NiYiKkpP1xVWoAACAASURBVKTArl274KabboJ+/fpBTk4OfPHFF8q5GzZsAIfDAcuWLYN7770XLrjgAnA4HPDoo4/+02VGIl0ZBjTchDY/vgbG7c41Jp8dVwyEn870wCejzoFbKgcpk8+4Xbng8xabJjcJGOgmOw6mpYhEurIoWJJAvg6M6MrD/+tiL1JARpN7niWR4XWgwOqV3iMM4PPROfFQMyAE1qzeg/QcUkhVrr1F7TFq6HnUGP7eJFLGCRSNFoOgVEpKhX8RzO7degCOth1TwDTVkEux9xGkY7QdGjaUZ+ulIT4pWKfZhikIp9dTAsDzEEix/2lZp9pDqwE0IhAlIacI2aB5B7AORzsSgeF7xVUTGgKURuDhRE3qcxSo89UaSiRpm8V2woG3RPAokeDl6Nqpz1MCK/tXwj8cvYx+sN05WjsW8LZ3zaAV8LeN8fAVOujnRIX65qDeYqhe3p752EDfiQTWrQC91F/589NnsRpvdeUn5wasgT/bpmWXi+O77j42AbClp4lNAP7N5fPPP4cPP/wQAAAOHTqkJQDLly8Hl8sFJ0+eNPb94Ac/AIfDAffcc4+x74MPPoDo6Gioqakx9n311Vcwc+ZMGDZsGHz55ZdnXGak0tUrAFbafz75vDGpj+F8drCkr2nySc4NhCUX/H8O8nXXc/Ai1T2SMsP9zyfKgthK+IszlBTsSWemaVKVgDjPtlozsB62u86D0w4HfD7YA48llEBZ5maYlNUMvrQKmBdvNrOQQDqCeElTSxODYTlcc8tBGwdr9L5oeoLl0d98dYITDzyPmgAd6wgDyrXgNMkX1aBLGn6eOEwy8cG/J5nZDV0NkMx3JG0/XRlAAoLl0pwBp9rNRIGaAeH11MwJ63207Rg8tF3NBEy/C800TbX5EkGm34Wb8XAyQMO2YlvhBIHH/KfEhJNJbCd89YDec4tzjGL+c43nSlNflFYmUrxF8MvKkSHt/6a4oOkPEoB8pylcb3n6VO2Ywu8nEQ7ep8ORAk52rDT8urI4SL84cMkZEYCU6flim7C6b2eJTQBs6Q5iEwBbDLEiAAMGDICFCxea9qelpUFhYaHx+8477wSHwwG//OUvlfMeeeQRcDgc8PLLL59xmZHK2cgErJuoUqbnK5PLg/MTDALw3lindvLhwFKa3K00ZJKmjv7mEy2dfHVaOGnik86RJuLnnWMMoPH76D4wK3aZJQmQgPXqwXVQlbACqrxL4fKLtsOY+ieVqCfJtS2Qk78dliY1mIC0FJ+fr5JIYI0TCApweG4AXCnA4/w3Jwj0vVPtNC2TglmaCIyDagrMuX0+T5pFbe+ptp5q4xF003vx2P8niaaeXi/lAKArCdw3gMb25+REMhOixAbvcbTtmGEChD4AnFRR4seBNV/x4aBWAv0S6KUbJRy69k3L4CtwvM/jfe+MK4U/xPYPOsP3HmIikfQ+tHxTjo7LmPnPMreJAFSNP9cEyKXVrnAgXTpXGpek8UAiCHwfP58+O1XCnHtvBvhvH2NJAFAJY/Vc/FhniU0AbOkOYhMAWwzREYAPPvgAHA4H3HrrraZrFi9eDP379zd+V1ZWgtvthq+++ko579133wWHwwG7d+8+4zIjla4yAdIBZLpvWna5Mrk0rhyuZASeeUe6afKJRNslJazhYFOaeK0mMWny5ZpLulEAzDV2vOy1MaUK2NiWOgYa0ubCog7HZ+meUt397mpIXxTMATCyI+KJseHv8tsVW2huXkGfk2uGUUNPnULx2pqB9bBhWMjkiIM3n6fEuJ6bF6H5ECckXNPLQSJmtfV5SuCJHcEVAKrp5z4ANDsvBe3cpp+b+FBgzVcRKODn2YepKRJ35OVafk5MqNMyXak4xe7PVxyoqdK7b5yED46chCOt5kRg3JmbO1lTx27e7iiA9nnU5F9WRJDvK/MGsw/zfqlbqeKZo6V2UTOwHv57cTZcH38JrHcvVMrlYBjrX+iuhI/XJKi5OcZHh/pkQi+ApjgTAWhIm6uQZCvALoF1CdRbkQLeP3XjmdW4ZfrtLTbMMGvWjQAY4ID3x0TDd4v6wsT7SFQ25gMQbgymxztLbAJgS3cQmwDYYoiOAOD+Bx980HTN2rVrweFwwOeffw4AABdccAEkJyebzvvss8/A4XDAhg0bzrhMST766CM4fvy4sj3zzDNdvgKgnTC8xZCxO9vwAZi9I00hALVrR5gmHz6ZUbMC3UaBOp/8rSZVaRK3IhC6yZyCGum84j4V8JmrVwhwTI4GaA7aGW+fnQmF7koFONDrFY154DpztlNhywvsMJlZ0L+SFpeb5OBfBI7ciZSDQA7s8Dc1G9KZh+D/fOUCCUDAFVwBQCdgas7DTW2o8y2336caewTTPEIQ/f9ke4hQ8OM0IzGC8fePqI7G9D5Ui8+jCUmrAJKZEycLSFjaWtsNAoArAHRlBf/ytspXB3h7kUgvBfVc687Jq2RSxrXovM3pSCGWt3pw6P54HV+14v2nIW2uCu6vjQPoQ7T/M1Tzn6+avPBJ4wCjX/Jxwmq1Mdw74cSZ9yErohFuDNKRDAzEcF95ojH2/m50FGTtUwMxpJblaZ/NausssQmALd1BbAJgiyE6AvDTn/4UHA4HHDhwwHTN5s2bweFwwKeffgoAAAUFBTB27FjTeadPnwaHwwENDQ1nXKYkzc3N4HA4xK2rCEC4iSh1QZ4S/QfjT8MAB+xdlKiNAsTLlQB2OBtZrnXU1VPS8knkgJchOUFyYG2EHZxMNI5xDoBNcYZG8pXF6YbDIS/DIAXeUkiubQlp+iXtf8f/KbVPwtKkBkXLTusqaXC5aQ7+pkSC+gNQ4EgdhekKgkQoJHMivJZGo8G6OaOGwurBdfDYbcEoQFQDzkkAXRnAY2jWQ7X9PAwoat6pWRAF5RS4c2djPIevRNDVA1pnHuqTEglKIrgPg3S9sYrRGvQBoGZTtD1zckffP3XAxvdOQTa/jn5zTiak9kP7h7Rqxq+l5JKCYizvg8tyTWSRPyffvzm7VCUAPPpPtdn855HZ+SL41m0S+ZDGDh1458f4edJ4GA6oG/u9xZC+ZiK0Tgn5YH2/0KuEZs5f71e0/7xOVvfoLLEJgC3dQWwCYIsh9gqAWXQTkThheIsht3GmEff/e0V9jUmo/VxXcP99WTCp7DxlAuKA1Er7xUG4bsLk2jkdadCRC4kUWIGCgKsqFHawoo8KOspdCuDYUzBdqSMHyr60CtXmf+2zsHzuBmgdkg7XzN1gIgXlOc3aZ6XvCLXzlARwIM9JCQeF/BxpJYYDOmqCQlcJ+DdwRg2FmoH18NhtwTwACOZPCcCbauOp5hxBNQXn1KGWEwmqxadReWgsfmoqRE2DuHafm/9wO39OaHTlU/8F7u/Q3noUdm/bZ3w37gQsadQpiObfgrYDStwoIeWgnR6T2oPUfvj/nJj63dXgS6uAgpwt4EurgE0j6uDmUSuMOvFwprxfYnmrxlykAvwx56jRf5j5zxvLhigRgPg4YUUMJGDOn1E3blqNOVZg32ocwmNp3kL4fGAvY+zFKGwZu7IhtSwP/Gy1w6oe/Lk6S2wCYEt3EJsA2GJIZ/kA9OnTp8f4AOgmO+1k5S2GSWXnQeZ9WXBj1WBjEvrfQY5gIpoOLVRu40wlIZgVYDiTyU838fJVBd1EbkVErABCircoZHvcFAeQRMyAxkaZwg4WuisVQK7UMXuFAvB/PiKUGfjw4DTTykBBzhaTyQU3O+BAXkd2aDhJBOuUKNB3xLX8+Bu1yggY+ffl34c6tAZcIRMgDvK5QzCPn0/t+7kjLz+XxvnnfgC8TCnPAI/+Q8kBNU/izse4ksBNhLifAV9ZMIhAhw8Afj8kTRRU0/j+9LtS4M+dtKnZF57H+whtH9gmaDvDv5uH1yrX0PbGVwTmxddDTv724IrX+ucha+UB+H7qVKievwmKZu+AefH1prZpNRZ9I7MsBPBXeVQiXhRj0v4vyZwsktFwwF83NoUD7dL4EskYZ7Wfv4OF3kmK+eVFEyfAtOxy0eY/XL152Z0lNgGwpTuITQBsMcQqClBSUpI2Yk9BQYHx+4477hCjAO3fvx8cDgf89Kc/PeMyI5WuzgOg0w7xSQNNgeZ+c7QyES27dqQpIRidZCQSEO5eXNusm7w5sQg3Ueu0qrpzTLbHhTEh4OF0AKz2iE6HFDghQJoyeqMC8JsLq5RwiJdccpNyfMrojQoo489GAToF31zzi3WRtMAUAPL3KGlnObHhmn9eJ1wBKPPWGVGAJJMYuo872vJIOvR/KfQmJwDSioKUlIs7FXPzHX7dyXbVUZj6AFDTJOqcrDUN6iAA+J5pIjDahyiI51p7aTWAfzduOoTHNgwzO3jzdsdNdmj/pGRhaVIDZF+yTzFtuzX/CqOdHx+QDBPnqY7u3LyGg3HFBChMH4RmL2zOLjW9L2mM0SkGdNF6+DikG8t4v+HmVZQ0SIRKGt8e6zfZGHP/muSEAlel6XwJ/EsrGvz9dpbYBMCW7iA2AbDFECsCcM0114DL5YJTp04Z+1588UVwOBxw1113Gfvef/99bR6AoUOHKnkAIi0zUumqFQAJMEtarYCrCnzeYsjZnRvU9O/LhE9GnWNMRveVJ2ojUejsXKVJL1IiwrXOVsSAg2N+Djcr4iC2avy5KrhY5QmCjlhHMApJgwo+tk6YYyIZeH+/u1rxAUhf1QJ/cHkNYPQzX3YINNUeAL+72uRQSbXBFNxTosBt+Ol3pPbi3GGXAhbM9ssJBgV+3NyDgicKItGeHU2AMDEWj9GP9v7UBIea7HAzHx6eUwL83DGXRxfivge0Hlz7T8ukvgan2vV1434CHxwxkw8kALu37TPeIa4A8IhOEgClKzb0L+8vfIUHV3X496KEkPsJcELB203AVWVydE9f1QK/79PXaOevjBgHvvXPQ07+NrF+Ul8vT58a6mdX9wkmAItRV+F4/H9KTMMpDqRnlMYfqbwzHeMiqZM0Hh7uH1p5/Vn/ERHXUyqbb50lNgGwpTuITQBsgdtvvx22bNkCy5cvB4fDAfPnz4ctW7bAli1b4E9/+hMAAJw6dQoSEhIgJSUFdu/eDTfffDP069cPxo0bZ7LVRxv+qqoquO+++4xMwPv371fOO5MyI5GuJgBWZjS48YRg/zHba0xGxya4xFjUkUxI9DfVToc7l5MU+jzhJkXpPGky93lKVOCBW7kLYK1Z60gTD/GyjP8ZONo2c7GyCrDgsm+Cb/3zMOGiu00aUgmsSKZBEpDiQIueT0ODYllcO4xgipsMYdlYhqS1piZAR1qPWWrWKcDmEXikpFsUeNP4//R6bnJDowwhAOeOuxTgU2dlHvmHEg56LV9poNp/Sn5wFeNYW8gECEkTbaOU+PEoU3jN5uG1igMuz9CM34kSBUoM+f2kb2kFUH2ekqBpT90BxZztxkCF0sYvK78RfOsOQnJtC/jd1WHHoICrCgrdlfCHNUlqGNA1HoA61fkXTfGWDag1ObJbEQCp3/D+I40dUpm6sUn3zqSVAT7GpXsK4YukkP3/7d48bXn0nooSRzOWBly2E7AtPUtsAmAL+Hw+bUSdEydOGOcdP34ciouLoU+fPhAfHw+XX345/O53vzOVd/r0abj55pvB5/OB0+mEzMxMePjhh8V7R1pmJHI2EoHpJhKcQHhCsOblQ4zJ6G/Degf9ADTZKK20XOEAutXkKU2U/F5WJEfS/nMyoPgACICfhh3887pEGBNfaDnBB/MA7DE0/VkrD8CfY9wGOHp1eFYIPNUegLxZOwyQRMuVwD4FdWXeOiU0JHfepedI4TspcKBAkJt98OskYoBgdve2fXC07Zg2VCYNyUnNaLi2nEfxOdL2Dhw+9Da0ffcteKmlHV45+Ba8eeiEUcapdjMh4JF7aBQhyefg/SPBfajB5/4IPJ8A9y842R4q//0j5vCmR1qPwRM7WhTShO90wzDzN6JETTLrohsl13SFgIYQxd+cXFIQjcf5agM9f/bYZoXgZqx8HD4hq1xtQ8Yo5KAovclUvg60mxKBabY9BdOVfsdNjDg4lsaWcGPPmf6vA+bhyAFuV3onKGaXS90LwhIXq3rw5+sssQmALd1BbAJgS4+RrlwBsJo46GTBE4LN3pEGexclQsV1IyF3T4blCoDVBClp0uikTUGHDqTTSVUH5q0ICIIPbsaC50QKPKA5GHt8++xMSPEWmQAU1tHvrgaffxOk1AYzAW+fcbmiIV286AbFfjq7/H6YF29O7IVl8vCb3OQJgT4FjRzsczMj+g14GFHqcIoAUgJTfAXgsdta4ChJBMYdZiWAj/9jLH9qJvR223twou09+MGew3Dvyh/DHdUvGdu9K38MB+87BO8JpjgU4NNVBB5hSNpP7fkpSaAE5Wf/+TosmrsQEvonQnR0NIxOToVbmraaSAG9vr31KDyxo8X4HvjOJELHyR7vCxxIU58APM7zQdA8A7QfUZLBV7Q4UJ8XXw++q+5XCIC2beOWvUILyinx9HmCDvmtSzIMTT/X/EOzF757WT8odFcqdZNWL3TjiBWA5v3OalyxMvuRxh/p/rTee/uNMMD/p0lu8HmKReIg1SsSgtJZYhMAW7qD2ATAlh4jZ2MFQKeZMiYJlhBMu7GEYOEmIWmystLESefpSES4e0mEgz9/RWI9FLor4cXFI0Tg8ZUGiLy4eAQsiq8xmeooAMFbCr6LtkLmyscVX4DjA5Jh5LrnFKCUk7/NRFA4aOdAnkb6oVpWtO+n13IHUgmIcGLBCZi0AkDBLE0ExsG3FCefOtueYrb8b7e9B79ufQ8O3PSqAvz59vjNr8KvW9XQoFJyMSlyEN9HiQn3LcAy2l5qhUEDB8PggUNg1fLVcOO1N0GBfzY4HA7Y1NhkegZc4WhvPQp7tx4wRU7C78eJFf8GlDBz8y767fn3xW9O+xLN+Cy1BWpipLQHZt42ofZh+IvTZbTr1+jqFnF0522GbineImhImwubs0uhIXUOXDNoBfxs7gz4pHGAiXjvKZgOfZxDxD7PiYVEAHTjVbgxShovIwH9kYxXWNd3E90GAfiPfmniOKm7Vjf20vfQWWITAFu6g9gEwJYeI2djBSASUK0kBLPYAgsu0k5oOg2ZDvjrbFh1k62Vds6KVOC9qFMj1T4uiq+BJn8ifNSYoGr9N8QBnBcDMN1pWg3YVpgpOm76PCVGjHR0Cr6hoFLRlK66YJUpMRiuAnDwR4E7fX4eOYibCHGwiMekkJAUfFKNMF9FoPXBcqkJUHvrUSVsJjfnOUXMgLh2na4avN32HnzvvjcswT9uL+w5rJgAUft8HpsfVxt4FCFJ00+vweMLLy6HpMQBcOiH7cp1F5bMgThPHLz1qtmZ+N03TopRgLhDL1+t4WZBfMUGr+UEkDvH0vtIdvO6cYLWRbL9/07uBUqbnnf5NqVNp9Y9CT5vqdIm8W+Ktwj2FkyDj9f0D/anRg/AkN7weYkHni2aAcVxFQYxKE+fCineIuO9WY1nnKxGMobozqH9Txc1KFKwryPVPk8JZHgK4Z2EUAbg2+LVsKtWRISXzTc81lliEwBbuoPYBMCWHiNdvQJgpdWim99daSQEy+IrAUIeAApWpUlUp/Xj9ZK0kLo60vP59Togo5ucOXB3Rg2FMfGF8Od1HT4Bl7kAPCQcYb1HWQn445qBBjCRnpcmBkttfBpO9h1ogKUPPf0hfVWLoi1Fe2kKYiho4iEb8Ri18Zaiu9w8aoWJqNAy+Dukml8KHDkIxf/Rnv2JHS3Q3npU1LRTcyCauIuuDNDz3mt7z2T2o9vuWfkj+NWh0H1OtZ9UzYiELME88o+0MkFJwYnDJ+Gt1hPgjfPCZWWXwS9eOgyvvvgGvPriG3D4R4dh2/XbweFwwAN7HzGZNb37RtAJmCcC4+/ZStMvEUM8jhtdDUBzIponAL85Pcb7ArYl3u4mp16rtNXZFXfCP3r1Ntrzf6TlmbNf+zeJfbHQXQk/XDJcXWHzO0OhP7294CeLhppMfSjZlMA6vRcF0JwkSIREAtfSdVbEQXfcihjQfR9fmgZ39iuAK7zLRCIilRGOfODfzhKbANjSHcQmALb0GDlbJkDSJMfBtM9bDJPnl0LGrmyVAOwaD5lXT4SUGTOD9v9Cchrd5GM1AUpAXFdfK82XlaZP0hZKGj1n1FA1KtBKTzAUIQKTSdFiVCAKEGidCnK2KIBoxZz1isb0hllXK8cDuTcqgJzWmZrfUFMm+rw0dOiGYXUGIJRMfHwec6Zfeh6NMEOfTQJLqJXFFQAO/BVNOAn9KUXeQbOZ1uffigj84/bKwbeMa+lfydkY6/b+EbOvggT+sa6vv9imDTqA293fuseUv+DE4ZNwtC20AoCkia/EICinqzD4naSQl/i96XfnBIJ+J0oKpVUmCp4V0OkthbFX7Ve0+y/7cox2/EXvKPAvu0dpy6lLHwa/u9qoN+1vtxVlqP1ofVyIaJMEfHsLp5n6Ol054QDZSjFgpSWPZLzSHYu0HB2Qx60isR7+c9Ii8bkiAfzSffF7B1z2CoAtPUtsAmBLj5GuJADhJjcd0Pa7KyE5NwArZl4AewpHw5HcPvDL8bEGIRi3KxdSF+QZREAC2XzC4sRD0mrpyrA6hx+XbJt1mjsKdpxRQ815ASZGh4BJjCOYJ0DICyBO8mQFAIHTa8My4c/OPtBcWAXJa59Vjo+qfwpy8rcHfQc8IWdOatfNnaY5SaDPzTXEHGBKZMO0ikHqQetAnxkJwN6tB+BYRxQgCqB53H0eCpSD73ffOAmvPfXLMyIAL7W0i3b7tFwK/nElQgL9aCJEzYFOHD4Jr74QzDcy9/x5sP/u/fDIPfvhO3fth/u//TA8dFfw/5//oFUhM0h80AmYvjMK7igJo9+c7uc+IhT4SySUmq/gbymyDyd4vH/Nmr1TaacVZZsVInvPpHkm7f/k1GtNfTTgCmr/P9vYT598L9oRzAPQ7IW/boiHFG+RiaRbjQORAORwY0gk42Mk46pujOPAHkkchnANN27pxk2rfZ0lNgGwpTuITQBs6TFytgmA7n/Tb28xbL44VQlPV3JbmmISlL5mIvi8xaK5jzRZ6fZZEQHdBC7VWVd2OGKB4OLW7IUqOKl1B81/EJxMVlcBGtLmap/P766G1PonFbvp/Kp7YWLtQ2ZzCSEqEAf9OlAhOZHS98+JgeQsSs/jianoPiyf5gVAs4yHtrcoYUD5hvb4HJhLibt+cvDIGRGA158PrQDQaED8Nz2HO+xK/gB05eCdQ78Bj9sDc86bo6xqUPJA/R4we/DJ9pAPAG1rHLRT0E+/M10dkCJBcYdxCiz5PfBcJA/8ftzUy++uNtn+p6x5Bm4KXAWfRcfAR+5+kLnycdH2n7fXgKsKVo25yKz9jyP9a/Q5yvHLxk5R2im+t3BjmwTMIwH6kYwxtG9JY1QkYxBfrbh7zDKT30K4LRwJsQmALT1VbAJgS4+RrhhUuamGDvBbTSj+hRfB9DvT4R+DQgRga8UgrVNwJCA7nOZNt1TPgQ2PSEOPca2mNDlL9XNGDYUUb5E5IdH4KHUVoMEDp5u88Kd1CTAmvtD0LBSk5c3aIYP9MFteYIdiCiKBDokM0HMkzS6NEMTfCdp/8+/DgSc3JaIEAKMAUaAvZeRFDf1vj6iafyOKzxn4ANy78sfwq0PvKffi2n6ei4CGAdVlGqYEAFcL5lw0H6KjnfC9x18wkYjDP3zDVDaaAaEJEJIvagKEG75/Cvhpe5faNJ6Pdv0U1EttgPYF7mgqEch5Wc36Nrr8flh06S2m/ZgBmAPdisR6eKBwikoACpj2f2kf5fi3Zo9V6kRXAGibD+c0K/WTcGCdlyu9K2ks0QF96T7nxeXBIu8KeN1/vlg279fhzuF1xHGys8QmALZ0B7EJgC09Rs5WIrBwJIACR7+7EjJ2Z0PWvix4dVooRN3hSWpW4EwSFlRX/pmAfGlipZO8FangWk/dfXVaUgSyprwAfBVgQmgV4JPGAfBoUT6keItEsDAvvl5JDBYRAVh3EHy1B8DvrlbMOCiwswIy1CEYgSQnBfR90L/8PUsmKPR8BLMVifWwd+sBIw/Au2+o4J5H+OHaddSoY0jQd984eUZRgGj8fkoweKZe7virMxPiqwb494cv/ByGDB4KsbEuuOLSq+D6TTfDmrr1UDz7POjr7auQDZpboL31KDy5s8V4p2gChO+SRl7Cb8eJH34bTug4IePfWAL4nCRLfa8isR582SvOjLxetTcYMYiBViz7aPWgUL9a6wFw67X/0OyFA/NTTGRTB7IlMG4F7vkYwcclHeC3Glt5fXTmOgFXFYzxzIa/J0XB3wfEQNugdLjSvVAkF+HGxUi2zhKbANjSHcQmALb0GOnKMKCRaJMkEJmcGzBA/g3VgxUzoMKdadrEYFb35CAkkolZ91c3OdJzdGZJUv2QAFQk1kOKtwheWZyu5gWgvgDRDoDlbuX4K4vTYVF8jeL0GCJT1TBr9g4Y1fCUCJouuHIn3DV5vokgzB7bbAJ+umfFc3hkF50mWFolQNBHNYcBV9ChmGqYqWYa31vNwCABONJ6TAH1HFTzEJvcdIb6Cfzq0HvwWLg8ADe9Ch8cPiFq3qlGnxIAanLEowPxnAEUyOPv119sgyvKr4DBA4dAdFQ0JCUmwbTJ06Fp0xaFgNB7HGk9Bo/d1mJ8HyQAlGRxIkudgBHs+zwlSqQeujLAV3awD1CTLm7mRc+hZmFl3o48FtPWnREBmD22WQuolw2ohb9u7BsC+NOcou0/3fYV5inlUBMgaTzg44KOHEjjEw8MwMeocAqIMyERZd46aIqbrYyrpXF5pm93pkBfN/52ltgEwJbuIDYBsKXHSFcMquG0xOEAesr0fAPc+29Phy8HEjOgq8xmQCnT87Vl/zMgXjeZSROt1V8KpCRtH18BwHeU4i2CbYWZ8OmagaGIQLEErKRHOOAJuQAAIABJREFUmcDKI7PzFRDB6zFrvBoVKLXxadidV26EU1x5wWrl+Nir9oPPW2qKw09BIS1fB3wksyFuKkL/SmY+Zd6Q3Ti3VadhQI+1HVPs7qWkW9zGnocA5aZA37vPnAn4vpU/hu/vOQyHD70tAnksH0OC6hJ7Ue0+JyB4vZTQjAN9uvrwwRHV9OnE4ZPQ1tpuigJE3zv9JmimtWFY6PvQTL66lRj+vanDOIYJRd8N/m3peUuTGiBv1o5gDouOtnhT4Co4f+muiFataDujpGN1+pxQf6lnEbYyzP0JfQDomEB9J3TjDP1NiVWkAJq/H51iQleuDvQb+73FMC27HF4aNdQYU99P9ELAtcxUjkT6/5mts8QmALZ0B7EJgC09Rs52GFA6MXFwiPunZZcrAJ+aAR2b4DIRgNIJi8PeUzJHkAC+ZCLEQS2faK0S/0habR5KEM0yeJ2L4yrgz+sSgvHKZzCN5ZKQxvJ0kxc+akyAQnelyewBwfqU0RsV0JRbtx9+36evEU3lz84+MP2avaZY6vR9SP4ACMhphlf6zijQ49p+jDwitQdeDtdOU7OMmoH18ND2FjjSeswUPx/BNyUFOu06D9eJ57x56AT85OAR+GnLcWh9/i1489AJRdP/wZGTpvtyMkH/54Cf1oMTGG7Ow02DcIWBhx6lz4h5AOiqCY3Hz01y6PumWnvapvF6HsKV92VaLgXFNEyk8d29pZB9yT7FZO2KhdcDOBzwv73PgW0zF5uiV1G/FT62lHnroNBdCdtnZ8Kf1pPoP+OIX43TAbDCbQL//3NtXyMKECXpEriWgLdUF2kM5GOUpCiwGrOsCADd53dXQuqCPMjYnQ1T7h4L/zOklzGm3jlxqJFdXXe91appuHp0ltgEwJbuIDYBsKXHyNdBAKwmTdRSoQ9A1gNZ0LR8iLJcfcG2VCMaUMaubPC7K7WTq+4eOhMdy3oJm6R1p+XrVj54uTw0o89TAg1pc0OgZB2LWDK4N0BTnBgViGrKcZOyqS6bt0kJqfiLoRkhgLXuYFALyyKqcD8AahKCgJJqjLnJDv0+fHUBNc/SudRJmAJKGgYUTYCoph/DanItOl0dkEgB3YcgmwNyatYj5R3gJkh8RYLem5MGGrWIOw9z8nDicEjzz7MdH2l7B460HjPCgOIKADXNoWSAmwTRtsRBveQczM2JcJ/Oj4S2DR7yc2LtQ/CxO95on59Fx8D06j2myFXpi/YYPiu0D6V4i6B1yVjVnK7arRJpIb9G0P4/2aSg4NGTJLLKIyVJY55uvJEAODcN4mOWFWg39nuLIXfNDGPMvLZ2qDKezv3maCOimq6OVmO31YqoTQBs6WliEwBbeoycbQIQDhDj39QFeYaGf9q3x8IXg0Maq7suTVKiAEmTlW4f/RupVk5HBHTaPa715nHz+f2pYyY9x5QX4PyOqCVDewNcZbZZ3pxdqphoUE15mbcuGOefaU4fzS5WSMDuvHLl+JTRG5X6UhCHWmGaLIqb+fD3QuvD48lzbTMlE9x0CP+iNpuGAaX27+jUy8Nzck0/BfkUqEsmONSJlx6nx/D3b4+cNBEA6h/AgT3Wjd8XyQw+E181QPJwql01d3r/SCgMKL4/JE3SCg22Parx5222zFsHm4fXar8zJRZ8hUDSaJd562BpUgOk1IXC1o5c9xz8ZGSu0jbXl9SqZmx1T4LPvwn87mqlPGyfJof6Zm+QNF/iAkjqFXQCbvSYzvliU18ojqswkRkeBYi/O91YoiML9Pl1448OeNNrpTGKnudfdKGyYvrK9NCK6ts5ofwq/oUXhiUTElkJp3DpLLEJgC3dQWwCYEuPkbMdBUg3qZkmUW8x5DbONKL9/KDAG7JZHRMN4+7PNLRW0mRqqRGzmLT4BC/9TzWgfDKWJkAJCFNNIYILChICripzXoDr4gDmxwJsjhO1lpgZmNaNgjqftxRyKvcrIGrsqifg3f5DDZB12tELrlh4feic7BUKINSRGG6mg8CdEgP+LlHbjxpoPIaaaBqdhpePdUHihCZAaA7DteTc1IaH6uS/qUafhhTlmn2qzZd8AU61m8vnJkZ0dYGSFSyXhyul5fE6SSscR1qPwUPbW4x2Rckm/R4I2KXvRdsl1+grbUwDfvn3oysBFYn1UJTepLTL7TMuV8D/99KmKatX06dvg6VJDSZzOiyv0F0JH69JUEPq0m1THEClmURDsxeePi9ffB5upieNKZEci2STyqLkho910u+AK2j6k3V3KLN6wa4xcJr4VG1fOjBEDu7OtjQFCkdGdNd0ltgEwJbuIDYBsKXHyNdlAkQnDd3k4XdXwuT5pZCxKxvq14xQlq2XzcuFlBkzgxGA2NJ1JBOppHmjE5pk168z99GRCk4MOEmgZSIBoJN4irfIGsQwHwBqs6x7rsmp15pWAUqX7obPz4k2wNYfY+MMf4ApozeCz1OiaOqpxh5BHgV1eIzu5w6/CPRpPHpOKKidOK4GbBim1gHfG5oAUYCPYBjNYk61q+ZBHHTjNafa1Yy8XHNPnXGxXDTb4SCcnysRBU4+6H7q4Iv1pzb/9DyaXfj9IyGzoPbWo/DYbS0KkKXvn4Ztpbb9/BtzMsa/P//WnARzwkCj/xTkhJzUFy+6AU47ehnt8X3vABjX8JjSZi+ceKMB9vnKWcBVBU0ZCy37DN++6uhjLy4eAYUdJoW8XMkESCL3VuMQPV+nuafvTiJXVuMb/z95gl/R/u+4cqAxhn450AEFu8Yox6eNX6gd2yIhK3wr89Z12rxiEwBbuoPYBMCWHiNdMag6o4Z27hYzFBIzRsDvB/UGGOCAE+lOWL7eZ0xa6bsyYNDFKeCM6eT7doOtOZAYEYBp8idGVqZzOAyr3Q8jWNjPDSW1isb12IBkGF11Pzidw7/2dxDJdus3d0Jraxu0trbbm2lrg1u/ufNr/0a69ugZOQv6T18GvvXPw4zqPfDH2DijHX7ROwrmLPmWibR6Rs6yLHdh5oAzIgB/XBfsQ32cQ77+d9KJ26B5KSGAvy8TfpPhNAjAyzM8poAKgy5O6fQ6dJbYBMCW7iA2AbClx8i/BAGIGgrOmKFQN28wLGkeBZn3Z7CEYJmQ9UAWjFyV1uNIQB/nEPjuZf1UR0ai+YemODiS1wcGxwyE2ckDYWHmAJidPNASyPSfsUwMpfh41myFBDyZmAzO6GHgGTkLvOkXBkFXNyUEW27YBq+99gtobT3cDQB3d9oOw2uvvQ7faP7m1/6NlM05HPrPWAbDakMmaRkrH4e3En1KG9xUrCYDG7HuIAyr2R+2Hc5OHhjqK4tdQbt/CwJQkjLg638nnb3FDIW0b441xskrmkcpq6iNK4fbBMAWW85QbAJgS4+RfxUCMOjiFNNkJW2D5nb+BPZ1b32cQ6DJnwgfNvZVQMvHFR54LyEY0vCzc53KsQ8b+0JzQKPRdA6HgQtuNgAVgqu01U/CkYGjFQB2y9RFCgAbVrMf+s9Y1u2IwMKyq+CFF16E1tY3bBJAwH9r6xvwgxdegqsr6r/2b6S0v4W3KO1v1Npn4cWUSUrbe2xckZjBuv/0ZRH1md819oXTa+MA+vUKOs+PizI5/Z5uCvaVnqb5d0aZx8xnz4s3wP+nI8+BCfdlmMbPvuN8nV6PzhKbANjSHcQmALb0GOlKHwCdLSx3lpXsRpXrO8KCZu4LQwBYWFAaySScrarOP8HKzp/a/Oqcj3mkFCkxWCQOhj5PCRS6K6E8fSpszi6FpoyF8LOY/mpIw6VqbgC0aV4UX6OUU5FYH0ya5N+kJFzyrX8eZi69B34f7QFwOOC9+EFQcPW3zUmX1j8PvvLbg6FFyTfFsqkPALXTluyf+fuQHBklp2n63gKuKrjG1wi3fOMueOHgj+EXP2+FttcPw5HWo3Cs7Ri0tx6Fo23H4EjrMTjWdgyOduzD/cc6jrW1thv7j7SGrsPfuO9I6zGjPDwfN1pGe8f9j7epZeP/xzruTe+D9WlrbYe21nblOJ5zjNQf69LW2q48w7G2o9D62hvwkx/8HPbe8CgUxS9XogDR7Mp0486m1OGXv3vaviXfDyn6T5m3DvJm7TCB+rumlCngv3VIOqQ2Pi22Owz5KfUVOnZsn50JkMuyaM+PNWn/txVmij5J3FcI+yj3seHt1mpcCzcGSX4BVuMS/x543O+uVEIpZz2QBdUbffAjfxx8OdABD85PMI2fGXePM/ypePhRqS5Se5Dq3VliEwBbuoPYBMCWHiNfZx4APolKTqtl3jpTYrBw27Tscu3kqIvsY0UYOIiX6sk3PlFKkUooaODgQgIN/NgTebkALgJuEnsBbDBHCNpTMF2pG3XenBdfD1NGb4RJWc0wZfRG8Lur4eoJK+FlXw7k1u03ATW65eRvU+ooPbdEZPB90Pjy1BFViiUvkQQEszTqUXPxLbBt9V7Yd9NjsHvbPti79QDs3rYPHtreAo/dFtz2bj0AD21vMY7hcfy9d+sB2Lv1ADx2W4uxH6+hZeI+Wjbdv3frAXh6V4txzu5t+0z3x7Jw/96tB+CJHaFzsFx6H/o8eP7Tu1rgiR0tynM8dNNjsLLqJkhNuNDkzEoz9AZcoYRx/D1TEsABKgf//PtK/WP5IDXcJ26FV38b3vcmdTj9JsHEmgeV48m1LZAX2KHE+5ecZ+m+7Z7zVPCfHmXkzkCC/MridCh0V1q2M/yNfVQH0q3GMR2g110vnaMrTyo7eaJfOz4W7kyDWcz5N+uBLEhdMFU7Loerp3SdTQBs6YliEwBbeox0xaAaiaZLRwak/SnT8wVtfyZcfn0yXH/NENOxvLyyiCddqa467aI0+UvAP5L78v0IZK2uo+WneIvgD2uS4HRpjApyJqiJjb5q8sJnG/rDmPhCk5aeajexXL+7OrgqsPY5S/DvW3cQUmqfhHnxqsZXAu+cDHDtMF5H48YjQaD15fkBkADQyDN4LR7H63l0GvodkYjw94L7aDhSn6cENgyrU8qQojzRSDc8ChLXutMyVw8OhUWVyqOgHH/zZ6fPg/en98ZVE14PXg6SA3xGmtSNAn2pH+E34G2Xh/uk27k1D8LPR2RDUcUdoQy/s3aAL60CfN5SpQ5Sgiz6d5LbD3+IDmn/T3t6AawOmf/8cc1A2FMwHRbF15iUAhKIx/emA7z8XH6epASwAvaRjJ9akuwthrE35J6R0iT7+smG9j+SsVlHdqTrOktsAmBLdxCbANjSY6SrVgCslsR1GixJA+nzlEBybkCZrC6/Phl+OT4WYIADvhjcC/LvSFeOJ+cGtBNYOABPQdaZTnZWKwQUYOkIAD3XapIv89aFsgQ3xQGMPkclAQvNDo9ty4ZAirfIUjNZkVgfBFsWwD+7/lHld1F6kwK4+XvkWmJ8D1JCJA7EKfDn7wXLRDDL7yeBL0oqKCCmJAPvL61SSM/EwTB9FvpMHLhTYkL368gSJRS0LdMwmNJz8XPwnfE68YRstI6ccEjfdMOwOhO5oUAdz71w4o3WxJJv2StM5EcaR+j9RrqL4afOBKVP3BQbgIa0uVA1/lwoT5+q9AWrsYreB9saJ31SXXj7k4iCRJx04wt99zpAjmVNnl96RuA/64EsSJ7g145lOiJgBfppfTpLbAJgS3cQmwDY0mOkqwiAbhKz0mxJk2GZtw787krI2Z1r+ABcsC1ViWZx++IBRsKwjN3ZSl4Aq8kqkslMOt9q4pMmTk4E6DU0OZPO7la679YJc0IAf5UHII4QAI8DoN6c4XRbYaYWOOH/WoC27iDsnHYp/M7TH/Kr7jX2B2bvhIKcLYb5EIJUCkYpEOVghZMmrq2WQBYF5ZQA0Lj29F6rB9cpgJwDfQqYJQ2zREawDngN14Zz8E1JEgWrtA54nJtDcf8HXSIuWh+JBNC2JtVZAvc8pj9fKaDncULH+0mZtw6WjA+uAGCeiXAb5qHA8uiqgtTPAq4quCdmsgL+X3SmiMSQkwpaZ8lXR1oB4P1TN0boiAY/X3p34cYuZfMWwzgyVobbMjv8piTtv1UdrMZ3ToQ6S2wCYEt3EJsA2NJjpCsJgNXERTVaVqABt9QFecrE9fJMj0EAPk6JgvF7MgxHtsnzS8HnLdZqDiVNsjSRRTLRS6BCAgJca8zPQa0sB59Sncq8dVCePlUF+Itc6irAiN7BbKfEFOiTxgFQ6K40rTDQ9zBl9EYR/N937lzDQfO3cYkws+o+03nJtS2QN2uHQQTopgOWHFQiUOX+Abw83KgPAIJsbkrEQSslHXgPBJb0XLqfkxWaMAv30azHfD9/BnpfWid8fr6iwvsMfUcckNN3x8so89YZBIAmVaPl0HZN2yInTXicEjBO8nj95sXXw+K518L/RDlh68wlliZmvtoDRluibZS/w0J3JezMXQibs0thsy8TvozuZfSDj5xxMM5dYAlkefvU9XFKAPgYIb0vfoz/tRpj+LlW4Jv+5v5SF25NheO5sbChbijk7jFH/cl6IAtSy/LEMVciMzqCY7V1ltgEwJbuIDYBsKXHyNlcATiTiYyby8yPr4H0NRMNrVX1Rp+yCrCxbqgRCSjrgSxIXzPRiAakuzefiM8EzEskIdwzc+DCQZkV8eCAoNBdCX9aO8DIYArNXoBJLOLJlGjTKkBD2lwt2Qq4qmBpUkPQB4A4aY5a+yw8lz5TidLy354ECFTerY0Q5POWKuCeA0jds/F3jOfozHUkEyAE1hSQc2Ds85SYzF44cMXzaDkc2FEAzLX1WCY126Fafk4KeXm8zSAxwOfjzrm0TFpPuqLA3xknEnwVgH4bWgb9TtzXQPdMZd46uCN+DnzRO8poRzunXWrpZC69C9xSvEWwfXYm/GFNUrB9r/GEQn5GO+DL6F6wInaueC1v+3zFRwLk1AmYt1MJ1OvAsjTOnAm4lu6N+/LyyhRw/9ic/sYY+cGYaENRgtvYG8aDz1ss1lFXn3BjHz/WWWITAFu6g9gEwJYeI11NACRwbTXBUeBgOt9bDIEFF0Hm3eMga18mvJsVY0xub+fEQlZHQrBwmi2ryUwCChLwCzexSySBa5/ptVy7yOsi3Xv77EwV4F8bBzC0t2XYw60T5ijlig7BgetMYCxlzTPwvbRpCgn4yN1PcdhUNv8m5ZkpWOFgkb43GokJQbsEKvE4rgBgmajVxvKpwy41D+IRh/hqAf5PTWUk0I7AUVopoE7M9DpqqsTbGT+Xatyl1RGJTPJ3TZ2m8Z1xIsVNlfh3oHWgJkb8HeA95sXXw7ysZvBlr4DynGaYF18P1zmL4B+O3kob2jpzsUgiJ1y6T9H+83Gk0F0JP1wyPBTRZ3McQIrqC/PeuUlKCFwJtEoadh2g5Y76/L1bjSu61QWJPERKAKRxi64AzLgzHf4+tJcxRj51frxo+28F5sONmdIYxevXWWITAFu6g9gEwJYeI2cjD0C4iY2CFp0miZKAjN3jIHNfFjQtH6KsAlRt9JlsW3EVQKd1k+rCJ206QUuTn6StlsqXtI5YBjUBsppw6b4UbxEcrxylkoBad9AHAIFQnpogrDx9qgheaP397mpIX7RH1ep3kIDvMhLwaawHLl683QTiRq58Gmb2XS6CHArs6W/+jjkw5sANtbIcuEraagqc6SpBRWI9bB5eK4YglTTj/Hm4vwGey6Pv8LaC+yVzHyQtlDzw9yWRI34vJCGc5KC/CSdW3ASI90lOWviKis9TAvPi6yEnf7spv8Tawhr40tFLaTt3jTofUmqfVIlm7ZNGuE8dyCx0V0LrlaPVdr8+DiCVEIDMYMjPR2bna4G+FZCWjnOSruuv4cYYqT9H0t9pX9WNPX53JYzbnQtZ+7LgzsuSlPFx3i2jlfFx3K5cxfZf9x6k9xWOJNCts8QmALZ0B7EJgC09RrqaAEQ6YViBf7pRDdeE+zLg98lRxgT3+lS3NieA1QqEjqBI2i2JKEhgQPpfqgMlADrwIAEY/F0cVwF/2xivmgJd4gKIdQDMCWn/Tzd54aM1CbBqzEWwObsUGtLmQoq3SAt8liY1wKzZO0xALmXNM/DMWL8C5P4eFQNLFzSbVwHWHoSsy78D+XHXGM/AtcdUK47noJkLB+ASQOcrANRch2vRpXtw8My151jO9b4axQGYn4tkgoJlCtJQE491w9/8f04oKFHBsiVSwMGhzqQJCQDdz0ElbV/U+ZneW1qRmBdfD77yO1TiuO4g3OJfqrQXcDjgzqipxjWYh6IovUn0H6HvNMVbBK8vSTP8WhQSsDkOYIYTYGBvgPVxcJr4vXBipOvftI3x8yQfAKmeuk3X/8ONK3yFwGqMCriCUYAm3ZsBn448xxgbX57psbT915Wtq6/V8/L9nSU2AbClO4hNAGzpMXI2E4FFqnHTnV/mrTPlBNhx5UBFy3XZ9cnK8ZTp+Vpgzyd8CtjoeZKmjzv7UcCkmzB1ZMDn0ScCs/qN/+8tmGay9YdV5ihAn23sp/z+45qB8GhRPqR4i7RA2OctBV9aBUzKajZMg0atfRYeHn+eAuj+0as3bCypEc05RtW1GCSAgkoOJnTOvjziDQVF1AmYA26pPOpLwM/lGnvcx1eFKIinv+n/3P6fA3HqqExXH6hZDSVH9PtwYqMzC5J8EqQVAP4NOCHgKyB81QD38wy/yWufhQdzz1fayWlHL7ghtUx5zxz0Sn0l4KqCZQNq4ehVaea2zjeWDI+veklkRwLSvL8hceKrUTrSEK7fWvVzuk9aUbQC3353Jew4P0UZF5duHmlo/rmPFH8XOpKhIxzhiE9niU0AbOkOYhMAW3qMdGUegHBAX5ps+MbL4TkB8u4aC38Z0duY6H7kj7PMCaADc+EmVf6Xb3wpXgcUOFjEYzzLKL2fLkMx/l0UXwMvLh6hZDil0X+k/+m57VdmwKL4GksAVOatU5M4rTsIu/PKTZrdeybNg1FrnzWtBoy59H4FBEsabG5LTt+VBIARlKEG3Qr8UrDKtex4bw68+X0pqEcAj/XFMnic/s3Da03PQJ+Vlk0TgFHygSSA14OSCVpP2r7581DSRMuibZmvVuBxWif6Dcu8daEEch2kL2vlAfjRqIlK2/j8nChYPmd98DxvqanPcUJB22ChuxLarhgra/7DbFXjzxX7vw786ggJjzglnWMFnq3GGPqO6XVSfaXxir6rIlcFfJgU8o9qP9dl+Edl7Mo2oqRJ71+6ZyRjovR8+H9niU0AbOkOYhMAW3qMnC0TIGlS45OHBGJM5XiLIWN3thHtJ+uBLLi3PFHRdi28MQWymA+AbsI6k00qg+6jgN9KqyldLzkB6+7NgXDAFfQH2FaYCZ80DmBa//7qqkBpjAiSMEeABIrwWfzuakipe1LxC9hUvAK+7BVy7HxlxDhIWfOMeSVg7XMwJ/v6oJmIx0yC+LujgJ4CZw7OqTkLfoOAK2hHzzXn3HyIg1waxpKvKCDo2zDMnCBMMrfhqwnUnIieI2nBJX8EK1JCCaK0woHlIMGgeQDoc3OSwdsYLxd/VySqCeSmLH8AfpUwXAH/f4pxw6JLbwm1ibQK0+oEJzq0H5hWudZ4glGuNsaFJQB0BUDqv7x/SmCb9lGJoNA2w8cAeg/dGCGNDboxko8N/Lvc5p2hjIdr02ZAyvR8SM4NiJHRpHtK45TVGGpFcjpLbAJgS3cQmwDY0mOkKwbVSEG2NKGE08b7PCWmTJcz70iHzzqiXfxtWG9Y1zBMsXGlYCUSjZxuGVxXP50WkYNWCij4X5plVEecOCDj90UiUJ4+FarGnwur0+fAn9YmBTX917hDIRLPV0nA6SYvfNTYHwo7wAEFZjy6TU7+dpN2f+mCZvir0wXvxQ+CnPpHLBM7Ja98GnwXbYWL+zeI4Ev3m2teOQGg53MzFqox58/HAbu0Ydn8HEpSaPQh/v64Iy5tZ/z+SC4o4aCOwhTk6zTWfHWFnr96sOo4Ta+hSbZ4O+ckB233C3K2gC+tAgK5oQRyaY1PweHBaQb4P9l3IBRe/W1Thl8JVPL7BFxB7f/HaxJCmv+NcQC+jmhXw3sDNJrN3ULtOkHJfaHrq/TekiICiRN/N9I7k8iD1bjzz4xHunG03LsCPk4K5Uj5r4QE8HmKLe8Rbvy1Gm8iGec7S2wCYEt3EJsA2NJjpCsJgNUEoQN9uklKmZS9xUpOgKwHsuCOywfAPZckwfQ70iHrgSzIbZxpsnGlk5ZuQg6n/bJ6Dr6fagR1GjT8n4IL6To68UoaSKlsI1nYpjglPjpEOwAWuEyA6aWyCYo/gDTJL01qgAmX7jNFCCq56nYzyLPaGp+FwOyd4POWmsxxJLDO3y2+J54HwOcpURx8uZabkxoO2vE3RuLhgJ47GUvXck0/rzPuRy08Tcjl85SYQpnyjRMKKwdknhQN35lknkaJA3/vhtmUtxR8geuCK0Hke45ueEr5PWnFd+Ajdz94fVgG5NbtN3//tAqtBpy3u4a0uaF2el0cwBg13CdMNOe7wG1PwXRT/+CO6NKYo/jBEAIgEUPaHvDdhRs3JLDNv7kVQZDOKfPWwab4sYr2vylutolEhBvLwo3ZkWz03M4SmwDY0h3EJgC29Bg5Wz4A0sQXySSp3bzFkFqWB+N25SqrAefengtliy8Cf4fWjwMwCbSHIwNW9YxkcpbALb+OJwLT3YsCJAmM0Os2Z5eGwNCSPgAxBDTFOAAuM5OAFxePgLrBtdp3hCAwL7ADfKueCgv0M1Y+DrvyymHM6hbxePqiPWK2V+kZ6TfkYJabxtDfvCy+AkDP4WXx0KEc9OtWEfiKBb+HRPIo6UGTHGp3rzNP4n9pmfx5MXKSw3GO6TreP+hz+zwlHeFh95rIH4/6g/sCy+6B0WueNp9Xe8BIFEfvxcEsHq8af24oyk92lAr+h/U2Of3iSsGri8dAirfIVB4H2XwFQOpzPo+cB0B3rm5MkPo1X3GwGg91JMnnKYFiVwV8kuQ2wP+biR4Y6Sm2HEel54nPOEXKAAAgAElEQVTkuazqxvd3ltgEwJbuIDYBsKXHyNnIA6CbcMIRASvQTIlAcm4A8vLKIDk3AOtG1MBHFRnayfdMJtlw9Y1kiT8SbVuZt07ULurqZJWZll6raE6bvQBlLhU8xToAruhjIgGPzM4X3x+vy8y+y8G37jkzGCRg76mMAIDDAe8kjIDzrtqtTRrGCQAHxfwZaUQbBG9cO0/fB7fZ50CfOwFLGl3+m/7lzrb8W1KCIJEJ6lSM9+COzZLPAl9N4GCSr0YgAZDAL302Xk+/uxoyLjSv8FTOvw5+MjIXUhuflr+tsOXkbzP1IfpMvC00pM0FaIoLavpp+03qpTX/ab0yVTH9oe1Z2ietNPG2T/1NpD7Ny5CAunQtfltpnJLaEh8/8JstS6yBu/rNgi+GBh2Al/UdHxa4W4F+ncIkkvLo1lliEwBbuoPYBMCWHiNdHQZUN2lJYDySCUY3QdPtqfGXK0Ai3AQVCUDn99KVxY9LYIyCPPyfgrJw9dWtANBjPk+JYTutRAa6IFYFUS4HwJUhEoB205hB1UozG3BVwRg0BxK2xvNXKo6gX/SOgpsDS9UoQesOQlr9kzA57VooyNliigXPwS6a9+C74wnUKBjG6/n/3DEXj0mJtRCYc/8DblrDgSR3QJYSckmrB/Q9Y524OQptW1yzzVcR6PvDayW/CSkvQsAVTAonmfxkrnwcHs0uNr7tfefO1a4E0N/Z5fcHy2R9RVqBwP+rkmrg77kxarvt1wug3iNq/n+4ZDgUuivFsYcTMh3Ilt41X6WzGk/4++X9RzqHm8JxoqkbT2kf3Ty8FraPWgar+2YBtf2PdNzTEZQzGY/5vs4SmwDY0h3EJgC29Bg5W3kAdKBYdw43aZAmU93EE3BVwdFAAJ5LyIGlGePAv/BC8C+8EJIn+BW/AK4tleojheWTyIFVXaT6W4ELaWKnvxFQWgEN/PtoUb5ZQ1oUY0kCoNkLTRkLlXJ0UXny466BUXUtIuibUb1HcQbFrXVIOhRU3qV3FK5tgaKinTAvXtXac4CI2mwdKKZ1p2CbOtTi+dwshwJEqRwKmvkxnjQL60//8nZAtfs64kLfA10V4Jp/fi1/JtrWJLKEdVqa1ADZl5j9PS4rvxHe9yaZvuv5V+40zhnFfAKSa1uCZmPM9Af9LXg/wTotiKuFg850tb16ewGscIua/5eXDjOc2XX9Tfdbp23H83QkPdxYx4+Fu49ufOHfh48JZd46+Lgy3TjGSSUvL9y70a10WI3F0n06S2wCYEt3EJsA2NJjpKsIAAXvukmTT25Wk9WZTLrX9UuHz4YEMwT/alwMZN+fGfITuDsbUhfmiUlwzuQ+VqA73DGpLAlchCtDAgv83S2Kr4FXFqebwdIsp5kELAmRgM3Zpab3LxE0nydIAnyXfRt8a82mQClrnoHdeeVKqFCMCb9t5mKzjTgBmxMu3Qc+b6moCafmLNR8h5NHafWGgk+uKafvkdrh0/ZM/+J5ktMoBf28fKlM/o1p9B/JZwCPU/LACYbUp2giME6aAq6g1r8ovQl8825TTXfqH4ED42abgP9fnC5YdcEqhSScO+4bUJ7THEwgl1ZhaP0pMJVWNSihWRhXA//hTDOB/9PVblHz/9KSEUp2a927tQLgHGjT86TVJh1Yx+e06rtWY6FubOK/6bu8J71SaSe6sYsTiXCkINyYpxsb8fk7S2wCYEt3EJsA2NJj5GyvAESyXzexWEXuMK7xFsP2OaPVSBjLhyiOwpgJ0+ctDktU6HFpwrYiENLSvQSqqXZRqo9EKjiokSZq/L/QXQnPz8tRCUBTnJkExDgAyoOOwZdlTIGGtLlwx+S50JA213Cm1L53Twn44i+AnLxbYOTqZ0yrAfMu3wa/6TfYBB5/lTAcyi+9We9EfPHdMGX0RoMI0HeE2mx8H9Qsh4Jk/j51ZJOWKz0rBXQ8PKrUHvgKE7f1R7C7eXit6R4URPHnoX2BmrrpAD2tHxIA3obLvHVGhJ+0etXcZ+S656Dx/JXwictr+n4/H5EN06653/TditKbFBLE2zvfx1eWCmIr4eexo5X2+VdnDDwwJRk+akxQ2vInjQNgW2GmYfajGz90xMiq79D+LmXrloilFbjXjXN4jhSdSQew8ZppcflQ5q2DFyYvNCUNpCtfunHKauMrYeHGPGnrLLEJgC3dQWwCYEuPkbPhA2A1iek0cdJkyoG/NKmlLsiD8Xsz4USG0yAAv0+Ogsl3jzWRgNSyvLAEhIM46VzdObpn5ZMyggsrzVok74duRtjGjnMWxdfAp2sGmLOoFqrmQF8tdMHfN/aHT9ckKed91JgAT53nV4iAjpBIuQJ865+HMatb4N5JF5tWA8DhgGfH5sOkFd/REoGRK58G3/zbYHLatbA0qcG4Pwdl9J1K31BHYihY1YF6/I2rApQE8PbANfx4TPIDwDrSVQ7MIExBHF5HQ3XiCoEE+LFedBWDvzPc/O5q0dznwit2QOuQdNP3+qvTBZuKlsPIdc+JUX787mpTO+ckBuvAM0Lj+/tx3wlGu/xTtAua+l0KZd46I9fF1glzoCljodEmpT4iETNOyvi7kPodJZtW7Ujqh7p+awWi+WqOdI+AqwqudpfBl0m94LcjR8D2YVeKY49u3LL6bTVGh3sGXsfOEpsA2NIdxCYAtvQY+ToyAUcCZq2ANU6QpgnHWww5t+dC5r4sqF8zQlkFuLc8UQH/mfuyYNyuXPB5i7Xl8XpLhEMCExx46lYY6G9qy45lcdLAy5XKsqqj6A/Q7AUo6SABc2IVZ2CeVAmavfDK4nTDzILfB+/td1eDr/x2LZifs+Rb8MsBo5hJUDRMv2ZvRFFkRtW2gC9wHfi8pdrY7AgseRui7wk3BPL8nXPHXzyHR8rhJjh0pYprwGkGXh55iL5D/u3pfTjIp/4LumspcUBTFgq882btML3nW/xL4bSjlwn8vzB6Mkxdrnf+zsnfZmqPuvZsWoUgpGDzsBr4QWwGfBLthhsSF4vvRwfupd+0D+sca6V+je8vnKO+bpzQrQBY3Tvc/8GtGI4mDDPGuL8mxcBYT2FEzxQJ+I/0eLjzO0tsAmBLdxCbANjSY+TriAIUbkLh4IBPYLrrp2WXh0D+vkx4fWooJvYXg3vBed9KM60CJE/wm+rGJ/Bwkz6f/HWTItc2UkAjmRdI70/3Dq3uj/codFca/gAmgF8tO1VK27bCTBPpoc/j85QY0WNGNj4rgsTktc/CDQWV8BenC8DhgNvzFkUcRpJGlHE6h5veL9aL7uN25xJA5mCeX8c18fjM3BEXNe703dNvIZEK3vYpqJfIAScOEvjk5WPdTKtN3lJIrm0xmW1dvHi7Avzf9yZB1bxr5bCvuK/8dlOUH0qocP+yAbVQnj4VNmeXQnn6VMNx1+cJJkJDB+tR7mKY5Pab+j5/h/y78HbJ30O4/k2/FR7nJF0aozjZ5/exIgPSN7Ya76r6jleUHA/3HW9SFFgBc6tnieT96Db+7J0lNgGwpTuITQBs6THSFYOqpPG2AspWoJafJwFvnLzy8soUcF92cwqcHhiaIH8YiDMRgDE154oAVrpnuMkuUvAulS+ZAOlAjw5sSOCHl1HoroRthZnwSeMAkx313zbGm02EKvoArI9TVgI+XTPQZApE60UBbX7cNTDhorthVIMcJ/7cmgdh34QLIWPl46Zj4xoeg3Xn1cmOwh1b/+nLTM8vtSEOQukxCdxzIEZBPZbDHYQRYEsEA6/ROd9SIMsjEtH9HJRyB2RaX/qMfnc1+NIqYFJWM3hGzgK/u9q4bsrojdpcDs+lz4T/iXLCzmmXapO5+dY/D77aA8H4/iTKj1SvFG8R7C2YBn9gJmZ/vMQLj+flQvOIFUpUIE5qdECet3Xd2KMDtLo+TtuWLgyopDCwun+koNx0XUfOk5Tp+TB2/Ez4MNFjjG1/TOoDmZ5CsQ9IpCMSUK8b08K9K751ltgEwJbuIDYBsKXHSFcMqpFMdOHAstU53NQGt+TcgAngH7ion6IlW77epxzPuHMc+P6PvS+Pi6s6+5+wDAzMDISwQxiYBYZhC9kIhABhGUL2BMhmEiMSEksgmhBNjCbaWjWJGhO3qFms1lrrUrW2tVbfvq36qt0Xm9p983Vral1qjZr4/f0x3Mu55z7n3IsS5cd7n8/nfGDucu7Zz/d7zvM8xx0mJ05+gh/O1j7/PjWJsnHxq4sUiRIZp7Kryuz7IjDU4OjR6FFvLlyEy0ra9av9GxOBBBuQFaXzuX5NUwjLgzM0RIBXjVHS1JsROT24yr8DnvLPYXrgYnj6viY+QGwwHKheDthseMmVhkubN+gB6IXfQG7v3ahP3IAlyf1oCe5CY8UXVK8zPDimXHCyqjpKHkRkgK1/HmyLVHna3RF9fuXbrP4+7/qTjZuva1bXn00znzbl75LkflT5d2D2pC/As2DvkKvWwRDoewAVdddgnbsbR1Nr8fPMALzb9Ls1VefdIVX38Vz0KDwL9mhOc+YJgJKHpsRu/HhNsX4HanE8PoqzARlR+NWKIo0bT7Zu2DLn+xa/syIigiKQS5FIageA33ExMxbw35CRFb7Pt7v7Iqeed1QjdLBcHbduWZmmGde2JpXqxglRPqh0iMZbGeCXjd0WAbBkrIpFACwZM3Im3YBSgNaIGJidfKjr9YndCB0sQ+mxIYBfe1MQb3qi1Ynyr8V2TLk9pCEBU9bPVm0BZJOdbCWNmkhFQIiKlycAIuButMJJTebUbgvvUaln0lQt+N/qBFLGaX2vE6cGn9iajiONNTrf61SaWKDb0nK9FFRW9H9FVQ9Swj8dblxfsxJTe+/iAOhe3UFVnk33onr2fqxL26wBx5RvdB4k8av57N/tuVr9fZYk8DsEFLDndwRYQMmmjXcryhsos+XJxrckuR+zm6/XlwdHthrPvRl3V7TiZFSMWr7987cOWw2r6qyjOt/+bLtny1lng3KJC6jmPFH5onFPY60OtIoAqqiviP5SRM4IzLIEQEQk+MCrdVEuQfn4yd1OdxhV2+pUu6XSO0oxd18AJ7PHqWPar0pcaEg8l4xHNK6K8mg0zhqRAeqZkRKLAFgyGsQiAJaMGTlTOwBmJsnhTioynVZlYpu+tE23C3D5xmzNatktK9N0z1RunaU7JIxa7TNasaMmedGky/5mCYBIPYqKg9oNEaWRB+NsPJsLF2nB2YATKIjWgjO7DQjHRVyIcsbBP14TQlNitw5g80RDKdslyf0ILjtMglPPRY+i9Zwb8GJqns4AVTlR+IGS2Viyep/hybPBZYexJFnv3Ue2IsrmgQLsSlCMh/n6ooA5tVLPq/+w32NtGFgSQtWx8v+S5H7Skw9rd9G99BJ8P7+SLNffTZio9+ojCN5N96sqP0r6edLDlrnP3aL1QrXVCXi59hVrw+lwHE5sSdO49JQZxPN9hgf4VP8QudrkSRZFAET9i70uG6dE7UT0bKCzWjtWHSvBMzOHbJtOZdjQeYUP09rn6Po4GxdLGkXgf7jkgO8fFgGw5P+CWATAkjEjn+Y5ABTYkQFXCrAa6dvWJ3ajePckzaRZfrQEv5ziUCfNd3OjUHNzUEcCpi9tk6ZbpiZEgX52MmR1sqlnzBgBU5M1D1b4yZkvHwrYKADt9YEJWtWMnS5gaqwOpKEkBrjQpdsN2NdUoksjVW5qvbvbUN2wH75ND5AgM//CR9Cz+GL8PDNAAlbYbDielo/dTT2Y1He3EKzObt6vpoUHeSLjYP5MAUp9SFQHbDtnwTurLsS3Z1ldUuSBB5G9Gf2kJx/PRY9iVs/tOFC9HC87JwjL8QepJVi8mnbfqgmLr9Uc7MWXB09gFGCtIZjrEoDkcdo2lWgDVjnUZzYXLpICUb4clL8UCaFsKmRjCtXPlF06qu+IyIZofOPbm7C/u8MoOVSmGaO2bc7VLGZ8ZXFKZHfg0JAqI1VWIuAuum9mPJERA/aZkRKLAFgyGsQiAJaMGfksDgIzWikTAWo+DpFXD09yC0oOlWpUgTq+6MOpDBt+PtWBJVf5deCfdQsqm5z5NFNAziifSmABA+VhRDQB8+Vi9AwLPKl3lf+vaS7R2wHscgHz4iOHhLGALXUc0J2g2Ql4Y9A4mDq8igdsbN0p+vvTOm4XqpusWHElvuubJgSw/4mJQwlhSOy58BvwbrpfBay9GUO69zyIZsuEMsJlV/xZsKsAXgrYU6pFCmBn9fp5AF3n2ojmumvgabkczXXXRE5bZoAb+512d8TIN9D3gGblf+XyK/B8bkhYZiejY3FPeRhN596MzkmXDbluFeymlC8fUvfhiRHbnnki1JXaH1Exu9QVOXfCzrWljCigV+uF6tJyLRkXkUq2jkQ2HlSfpEgE1d/ZZ/hdOhGRMwLSomv84oh3cr1mjJp5UxAnCobUGV/3xWDGLUPnmygezajxVjRuicA8RSD4cjUar5TvjpRYBMCS0SAWAbBkzMinQQCMVqNkk6JslUn2HqUKtPqyApQdLdFd17gFrWzQTPA8wGAnNkotQ6SSI8qT8psFF7IyokgS/5tyKykCGyyYk7kJRVcCMJ5btY2zAS1xEWDHrNyyhIOqQ16tRbm/JLkfvp57pCvQ9etvxZEpC/FWXKIGzH6vYAr5fOGWwd2Fwi4NaOMBP6W6opaTuy1CUEp3o8q/A0uStWRKcVnJ5kmkGqG0EZYU1SduwJLS3Wis+AKmFe1E5ZovwbONA+HbHoFn1S1YnLJZkzbVjqCwS5f3dR27SeD/d3c69tStRSWzazKtdDfOy9wMT/1OeDbdq7enaNgfOSmYaZ88YOWvs7te5/krAZ9e5QelMcB2/W7S8uAMKcnlvy0ykKf6D08AqO/woFnpo9QOmmyM4suF77+iNLW7+xDo0Kr/PNSWrFn937Jloub+tKVtZHx8XRmNwSIiJCobKs/s/yMlFgGwZDSIRQAsGTNyJgZVe0zOZx/icpB/gd7vv1FImZ7/2af9MwwJ9mzsqk/FK1uT9LsBA06gkABx3mhgS8RLUGdJ+idLQ7wHOesPS0lA3oXfQNGW+7Fl7gXqCnffggHdc6Xn34t/x8bjKU8FLk4rRmV0OuzR2ebTYp+IlNr1yN2kVS/K7b0bKbXrYbdP1DzrzJ8Nd2gBkqetgTu0aPDvAjjzZ2ufNYhfySP1O3fTV2CP90TqKjob9dGpuGKcC+dlVuji8A98HW/Eu1S7iW8XVuPsjt0oILz9OPNn6/MSnC9Ou6DtNHsz0FmSjmZvBhLskbJeFDMB/4wlyGOb1p5EIZ6vbE1S3/2/HDIX+zS6/wfWpOP9rIjx7/fqXSg9pl3MyFzs+8zTTIWREosAWDIaxCIAlowZGbMEICYH9rgcTDw3MCwCkFTi+ezTPQqCAuYuq0/VqwQ1c2ocKeNUm4Bmb8Yn/759IlJqezCx/6skAcjddDfS5m5Xf9f13Eb6qO9deKFu9fsVWxTuHedAX1QSpkSnI15ECOwTkdF5lRSMZ3RcCXu8ZxDEf0VKWnI3caRBEr8oFG59EEvP2osvVMzFt8fF4W3mlN4f2t3kO1+Y3YVLmzcIbSTyBl2pmgX5orayuyEVr3Kk8ZWtSdjdkIra2FR8GMO0l7RxwHrxwXO76lM/8/Y/GkJSmUc3Pi3c48czMxPRdL1+cSOpbHSOXSMlFgGwZDSIRQAsGTMypglATA7scTkIHgih5Jhe9afiSAn2n52BnZtyUHKsBMEDIdjjRkGaR1FIsGfj1a1JepWg7oQIkIu1AWsSzszKrbISXbxQv5pun4jcTXdLwfPXQ/VC/XclvGMbh+/b7Ng/zomzosar306pXW8KlCu7FUYgXkMaBlf+Zc8HL7gfS1bvw47WXnx50hz8ItOPD6Kihfk4bbOh/NxbTJMJNqTMXP+J2se3zhpPny49+Pubq8bjilgnEGvD3/12YLtL+qy1+j8Y4nJQfChkauGi+NDoHbtGSiwCYMloEIsAWDJm5NMyApbpm8o8UsiM6CivKJQe6vxVC3QT5oK9Afxi0DPQOxOjEL6uUOcFiNURptJi5HGD15Xl7QPYeO0xObr4RH9Feuy8vq9Ix5i/JvJwo/xPGgfvdkd0tzuGPLc80laPPd7z0JXajzWuHngTW3R68LxRrEw/WaQnrdyrqJN7ralffyu+MLsLzyb78YEtypAMvOt04Xr/Rlw4sR9F/UMGtRfO6cOGxTuwaM21qD7vKAq3Phj5xscA256LHkVD03Uo3/Bl1K2/FR2rrkbtBr3KU8/iiw3TO0RiYvGt6HR0VF1sPh2Mm1TFlSfVl3i7Er7dHGms0baJC5wamxAl3NNYi7Mdk9GU2I2vNNfhjYEMzf3Xtk7AvqYS1f0nZaPCt2E+rWba03D6Lx+fPUZvqE/ZKIjGIdE4xgb2QLoGRw+mtc8xRQDqO+dL4xbZPpgZq6l0i+x7qPyMlFgEwJLRIBYBsGTMyKdxErCRcd5wJx9qMqJAtTpBucOo3DpLc5jOeRd5NAZ1PyxzoiP5PDKtPACVTZ48GOHBtSgeBVwo+ZH5JBcBf1l6jMqNvcZ7rfG5W/DjNSHpKu+P14Tgc0cA/3N18/Brpxd/jUvFkoQqTXzLknuxuXARLi1vw65Qpwr4RHXJlxfrfaY+cQMyOq6kwTgDcOsTN6A1vgvXuhfhQftkvBidSRKCHzqCuNzTi4tnDqkXFWx7mFx5/3dsPP7XlYoXU/Pwk+wiPJNXjv/yTsHj/io8XFyHxwIz8Lh/Ov67YDL+J68MP8sK4PcpuXg1MQUno2M1cV1Te5YOoM/uPiQG/HYHfjghiNtjpmKJowrexJZImbnbDD35KMG76X5UN+xXDZp5UskDPLbc2Xahuo69xAW0xkVOjm6L07WRE1vT1fahvLs8OAM9k6Zic+Ei9R7fZ9jA++/nQTrVjnhPPTwop/qXyHBe6aMi4iAi7MMiAu4wvJUNCNeuwJTyGqxzL8asi+oG7QD0nstK7yhFcGAyPO6wqfFANo7yvz/uuN3g6MH8hLOx2T3fIgCWjDmxCIAlY0bO5A6A0SRjdJ1a+RNNttREq5mo3WEE2qtRdqBSnUDvmz9eQwLuHF+ji489kIkHCKJJkgUtRquMPLgQxUfliSoP6p6MhFD1wAIx5bfP3YJ9TSX4F7dye2JrOh5pq4fP3aK+vzMurDH4/FpcNramnoNrmkvwz4E0zfv/3j4evzwngGsrl8LnjgBZ1pOOqH5V4mSfSJ8lsOlehFsiAJd3Q+pxtiIc34VN9oX4akItnoj24aWoZByLq0VXaj/mT7lCjadm41HTK/EsORjO83dXtOoIgHfbwzgZHYOT0TH4VYYP95SHsaO1F23rDsK77WFMmnGVro0pHoU89Tvh3XQ/B/gfgGfBHkwt2w1n/mydJyO+/SjAmT/FmiUKqm//tQlAZtRQnSfYgPOdet3+UCdJailgzvcj/lnWlSvbV6k+RpFIs2CY7TNUH6X6kOzbbDp54B/oqEboYLlq9PvdRjfezxqHJxdlYv7KeSg9oD3fJHSgLLJrOXiKuWjcNALr/F/ZTiQVL5XnL6dNAvJteM2fBfzqJyMyr1gEwJLRIBYBsGTMyGdxDoBs4pABVBkwEMWp+/7gClt1dTvKKmrxl9ShA8I+SIvCPNcM6UoeBZREgIMC3dSKIwsuRIBEtrpHrYLyK59mV/RY4MfH2eCIuArdXLgIPZOmYnlwBpqY05OV535oz9V5CjrliAJa4nB6h149RAnvbk/B0aZqDZmQlX9Xar+qOqWcJeAp/xyq/DuwLm2zEOhQdciWW5V/hwqc5519PU443MMC9O/YHcN6XuTCdFbP7fANPKRfyd/2DdS5NmraH0tyulL7VdeljRVfUMtDAfN8W6PaaFNiN3aFOnFpeRuWB2dgWXKvDmRfXzQLCMXovULF2iJnR3D1e2n50BkCPLkTndjLg2e+3vh4eFIkA658vDwI1pFNgQoQnwfqPAT+22x+6xO7UTlQq1nl33We9vTyG5uz4EluQdvk1aiuboe3sgH13O6Z6FtmyD61cCKLj72m1EGzowv9GdW4PXMWPvBEAfm2SFg7MqcBWwTAktEgFgGwZMzImSIAolUw2QRq5hoPpEXvUf9Tk9wS93ScShunTrQvpSZjjuMcU2kVERF+dZI9L0A0UcsIAAuGZKuLw1nx44EKvxpM2RjwE76onv2JLfiyoxrvxRIuQyeMA5bEk3riSnh2dZGqGsQeYMarJinESVS2/IFkbDp5gqNpI+42+LhDtQq3PIBZPbdj6Vl70bPkYlw4pw9fbDgHB6uX48iUhbi7Yg7uL23E10P1uLesGQ8X1+HBUAO+VtqMuya14bZpi3F9zUp8fva5GGjbjJ6FF2PhoE2BDuQbhVU3S1eyeSDLnregEAC+7Srv+NwtuKelTrdT88ZABo401mB9+iZMTWzAQ/YQTvGuPWNtQHYUcE4CWa+7Qp2aOpG1QeUelU82v0ar1SIwLiIPyvNUn+XbGl92or+yMaPBodfzX7A3gHdzhsakE95o1N0YRKCjmiRKMmBuNB6YGZ9l5EkB/nd7KvBCYRDHi4J4w5s0BP7zbTj9o6dHZF6xCIAlo0EsAmDJmJEzZQNgBEapicWINFArezJwzk5U1GSv/H8sabJmte3b4wuF8VIr/iKQbZQmigBQqhEU0JEBDNlvNvDgiFf3YME2X4YkcOa+OSOxDt+Iz6BXiLOigOUOnR94JRxunKnLP1+uPJgVgX2qzJTrCsHgD/AyMjAW6daben7TvfDMvnT47130KPz9D6ir/+xBW3xdUPr8yl+lzFgVH5+7BatCVfjlhkyxrcc2J/5c7sZ7scSqv8sGzI0jiZ1ySjRv78GDcXbnia871gaBbW/sIWw88aHaphnwKwLyIjU9igTIdt3Ya/WJ3Sg9VK6C/8m3h/CbinjNeLRxe8QdaMmhMt2qP9XuqVOsjcYm0XNGOynNji78j9FXoq8AACAASURBVD+E40VB/LowiD8ECvARA/7f9Lrx2+oanH733U88r1gEwJLRIBYBsGTMyJkkAPxKuGx1SjRJ8yCVX8VnJ0FqQqOAAT+ZeZ0teH4Cd8pmUik8zlbdabX8ZCjSr6dAgWyiZVcXRUCFz4PRZE2pBomAIgXu+ff51Ud+l4Cq3+srOyOnCHuiaCKQEwV8TusT/qNdbry2NQVhV5dqMKwYirIAh1VnEREzPm/Kswrwp+5FgNkGY4Panrs+lhegirp98LjbUL78qCmDXc9Fj0ZOBl51s+YkYL79UfXG1zFPmpoSu3GksQavD0wQ7shgtzuya5Oor7/T9nFAtR3Yptf55wkd1Y/YOuN3B6h2JeoTFNCmnqHIEnWPJygsATCTNhnIZt+tmdSpWf2/Z1GK1i5p6QTtSeWT66U7IsNJi1H6jUKDowd3eypwvCiohne8iUMr//nj8PtCL44XBfGXdes+8bxiEQBLRoNYBMCSMSOflRtQ2ST+SSYlaoKjAAHv1rDaVYe30+LUifdkegw2J60iV9j4+KndBSP1DD59vBcgEWARgRxR/Dz4oFSFKPBMrfyx+ubUc5QaUc+kqUMHiHU6gHSOCDhtwEX0LsBbF2pB6Ymt6TjSWKOxEeDdp1LEhaojUTth31EMaj2b7tWA8UDfA6io24e16eeLQbxgBT+47LBqn7AkuR+zm/fr4vduuh+e2ZdiUvXVmDXnBsycuQ91ro1k/VI63FS76UodMoZWCEDEu1MxueKvC2cn6MD/9+xeNDpr8MTqPKmHqCdW56lefihVNiXwO1CyNmqWJBiVi6h/U32FamtmQTRJVtxhTF4/WwX3A+fnasD/ryvjUXlYew5AoKNa2sdF35U9K9vN459h4wo4W/BCYWTl/3hREH8N5GpUf074xg+Rg2DxJ94FsAiAJaNBLAJgyZiRMzGobs/dhCsmLECL41wSaJmZrEQTuGxSNQLFIuCr3LsqeZ5mAv59aiLaHOt0gEu0QigClpTOMz+pijyMiIC9SBdYlFcK+Mjekak68fFQK7fK+8uDM7RA8hIXsDA+YgsQawMa7DTg3OnCRwJA+eSaPOyraEfPpKlo9maohsgy4iQyaubzwtdng6MHS5L7I4bB5Z9DS3AX6hM3qO8sSe6PrOhzIJ4Pvr4H4KnfifrEDTq99iXJ/fAUdmFa6W60BHdFfjNlz6rGsOlT0suCanbXjc3PsuReLA/OwKXlbWqZ6Xz4K4EiZLtcQMGgTUcwBrd4m9U0+dwtONw4Eye2puvsBg43zlRVf6i0U2CavU7lR9R+ZeqBIqBP9RNqV0zpo3wfIYE98X2W/HjcYUxf2oayg5Uavf9/50apY887E6PQdo3+FHOeAMjGMzM7BWaJDJW/z6e1DQH8wiKcLLCr4P/D/Ci8WBjQ7A6cOHbHJ5pXLAJgyWgQiwBYMmZkxAfVF3+Ff5ckA/k23DKhSjhZGwURkP04gQVcoolOuf/V5HJ1Ev5pZhCtji6NTq0ISFOTKLX6KMorZczKgwxeJ57PnygNFEgRASmzBIIHpbzesfK/z92Cfw6k6VeYd7qABfG06sgFzsjOwPRY4LxEGqQy4bWtE3BNcwmWJffqAByVF9HujCifMrColIHihWhq2W5MmnEV5k67ApNmXIV5U78Y8U7kbiMBF5tOvq48zoiOu3Kdcn3Jq/mw97pS+1Wj3n8NaMH5ia1p+PeO5KF6uWRwh8YbHbHPoGwzehIjJ0DvdqNn0lRdu2tK7FZJxubCRWhK7Bau3MvAuqgu+DJi88nGye/8sO9QZUiliapvkZqekaGx5r47jODAFI0f/+mHivGH0jitCuKWieSBX94pYhUgqr8ajaFm7vF14nWGsT2rCj8LhFRw/4o/XbP6/4o/XQP+jxcF8erevaNrrrLEko8hFgGwZMzIiA6qH30ELJyqTgLv5sViqquBnERk4Ey0ImUGoJqZ2NhJmw/rU3vx1IQUbE8K4Z8b/LqVQBGYZlf5ROmjvqfEragX8OCBLzMenCrA0Ez+RbsP1AnFovSz6TJSjVL+v6elzhDEa2wA6uxadZOC6IgO+qALUX5nQPn9P6uDut0APr0U2KZWfPl7Sjnx5S/aERJ9iyonUf0p7ynqO3wa+G+yf5sSu7EqVIUXN9DqOWoZ9jmBOjuQzHn0WUN78lHC5sJFmnTybUHUHnmbBQp0iwA523Yp1TOe+IlUWygizT9DjTO8G1Aqf6K+oFwPdFRrQf2xEjzW7NaA/7uWTCDBf+hQmcbnv6iPisZP0XN82VL5UcrS6wzjDk+lavR7vCiI3xb6cSp/yO3nyQI7jhcW6QiAtQNgyVgQiwBYMmZkxAfV576vWQn676wi4QRk9pqZVTfRdX71kAdkNFAJo8HRgy1Zffjx7DnYktUHjzuMtsmr4ZtZB29lgzoRUzrB1CRKBfYZClzw4FIGTmRx83nngZGRa0HRPRl4YtPblNitniRsGHa6ADfhXjLWFjFCnRoLrEsQeg/a11Si+f6y5F6NP3tlVVp5hvfdLmoTFNAXuRnl4xDFJdqZ4smJqL743+3uPjQlduOa5hK5Ue9FLmBRfGS1nyrnWBtQEkO+e3pXZMdFscNg88gTHX7njGpPGtUYwXNmDrLjy4s1FKcAsSg+qs+I+qiI2An7jjscUfthTvStv6EILxXFDu06TkvAJE7vXwnT2ucYjosjGfjdkwZHD7ZnVemAPe/286+BibpnLBsAS8aKWATAkjEjZ2JQfTgrUzMh9LkXGE6QoslZ9LyRagY1qYtAsmjyb3D04ArfRpzbNQeTbpjMncJZrp7CSXk7MkNo2LSIVhdZoEiljwfb/HMy8MOCJkrHnDUc5QMFiBVQTAFZn7sFR5pqcHJnkjEJ2JgITIsFHAJwGmsDUsYBM+0RlZRBMsC6m1yfvon0Z//a1gk40lij0UuXtSGqvti8UeXAAleqrkR9QVRX1EnGVDvxuVvw7Ooi2qh3uwvocESAfbykXNOjgLY4oWE2dkc8+ogAsBnVHpHKGt+2qDhEuwLsuzz4p3Z72PoREQqeaPHnJ/Bqb6LxSAk15ctJYF97UxDP1iTidV8MZh8o4nYIIn+DA5PhcYc/FviXkavhPNvo6MYz/pC68q+q9vjScDp/HJBvw9tepx78W16ALBlDYhEAS0zJ9773PdhsNjI8++yzmmefeeYZzJw5Ew6HAxkZGejr68M777yji/PkyZO48MILkZWVhfj4eEyfPh2PP/74x07jmRhUp7vr8Z+8GJUA/CbXiSZHt6mJiwJAw5nweADCv08BFKHurzuMyq2REzrrDwbx4NxkVB0q1ujvBgemaCZmEZjk08iDHBZcUPmh7lErpxT4pECmaOKndjREwI0HVLxqBX99e24fwq4uPNleifcIIvCfi7lrF7kiJ8rmCFyIKmGu9tTZC4oWqEBYZEjMqwvxKiUs+aFc0YoIAl8GFCGjgC3/PPVdNn1UWoRGvbvdQLHgxN5YGxBnA8pigLXinRXWow+/i8KvlLPpotRujPopBa5lZEtE3igiJRsbqDpiyYLRad0iUqw865tZRxKA0jtKUXGkhDT6DR0oQ6C9WqP6Y2bsMxpj+XHCaMzyOFuxLXUVCe6PFwXxu0If3vS6VbefGhUh6xwAS8aQWATAElOiEID+/n7cddddmvCPf/xDfe5nP/sZ4uPjUVlZiVtuuQU7d+5EXFwc5syZo4tzxYoViImJwcDAAG699VZUV1cjJiYGTz311MdK45lyA/rFtEKVAPwgMx+LElZjffIyrEydhfkp9fA6w4YTjpkJTDT5yyZJ2aol+3v60jaU3lGK9it9eLkwsk3//TonKo6UaCbp4PbJmgmaV2ugABIPGnkvQPxqJ/WbB4AUAOPzRIEnHsSJzm/ggb0Sb7u7T3NiL/sse8AWmw6fuwVbggtxTVMI1zSFsKq4CkXJTbTB8C5XxAB1RiytHtSnNSR+aFkB0JcYuS4AtKy6kJJ2pSyaEruxuXAR9k5eiD3lnaoLSwUwsWXYldof0bcvrsI9LbNwTVMIl5W0q2cWKHlV1JAU41hFR/9oUzW+uaQcX22pxZbgQs1ZBzxAE+3uKMa+/7wgFafXJQAXEnleGK8vt4lRkcO7DHz4Kzsn+5pKVNLEExQKcMv6pgxAs21rS5aYkIraPVtuZsCyqJ/wKl4iI2BZP2PzJNoBEAX//BrUD5Y31ReNxj4zaTVLGjzOVnw1r15IAKjwQmEQd3sqRgT8AxYBsGR0iEUALDElCgG47777pM+1tbUhKysLb731lnrt9ttvh81mw3e+8x312vPPPw+bzYZ9+/ap19577z34fD5UV1d/rDSeqYPAmhzdeDZrIr40cS5umzgPz/vLNZPD0/4QtmdVqUSAWhUXTXIiUMw/I1shl5GAdncf6hO7UXawEiXHSvFUrVNjpPflJSnCLXpq4hTlhQ386iJPIqh4jEAOC+hZwMaDchlw479JreSKiIfyDRnQ4OvK0GD4EhdwlgOojI14CsqO0j1zamcyPpocGwG5E8ZFnl0UD/QmatSF/sWcTtvgiKjQHGms0XnMYdWG2DJoSuzGdS0hvLtjvC4N7+5IwR3NM3C0qRpvbtPG986OZHywk87fv3ck46G2OlJFid95mBN/DpYnTMNXHDPw5+R0IGEQ2C+N18c94Izcy4wCZtsjZcHcF+2U/GJDFi4oWqBLj6htUOSSf563gRD1abYPiAgAZUch6vOidPPjCLUjqBAAI3DNBt3unTuMyddV4OLeHJQeKxGD/2MRFUN2Z5FapKAWM3hDf6r/yeqICl2p/fA6w/iRv2RYBGBJyix4nK0jNq9YBMCS0SAWAbDElLAE4O2338aHH36oe+att95CTEwMtm3bprn+/vvvw+l04txzz1Wvbdu2DdHR0RqiAABXXnklbDYb/va3vw07jWfyILBOdy++llej2Q5mV4eOFwVxzFOpkgBq9cpoxY8HoxSYF60SUoBWCexqXd2NQY2hHtJtuLI7SzdxB3dM1qzYiSZvfiLnwYVMj5onBhQZEE3wFGCgQIBMZ52Ni9dNF4E9UZ4odRefuwX/szpI6rHzIBU7XZrV/9O73Hj7wtQIyE8RGBK7bEBhNFBvB5Y58IWCJnS4NqEpsRtPrjE+0GpZci/a3RFj2/9aM9HYnoHSxzcRnl1dpKra9Gb0Y6VrIzbGL8a1cbX4hj2IP9lTcSpWkMfKWDrezfqV/tO73Hh3ewpe44yG/zWQga801+mMfZXdIap98OdBmAGcbN3zbYZv3zJjYQrUs3GJPGBRbVvUX0Sues2A6khc6/FkWQ6QbsNDbcm6Q740/v7bqw3HEFEeeBJu9D4VD5/39cnLNOM3q+pDhef8IXVcHymxCIAlo0EsAmCJKVEIgNPphM1mQ3R0NBoaGvCjH/1Ifebpp5+GzWbDvffeq3u/trYWkydPVn83NzejuLhY99wTTzwBm82GRx55ZNhpPJMEYE9Gq6mVoouy9OcFiCam4QQKPPMToogYhGtXaCbkxVf78Xbe0EE9pzNs6B/I003cZXumwJPcIp2AqXQZrS5SYJ8C2KIVPTOAiQIKIrLEAiyKhFDvU+CPeq4psRv7mkrw2laJJxtB+G5naQTo2iU2A1w4GRuDH1UU6eO71KVTIVLUhq5pLhl22gzDJdrvPdhajwZHD75lL8Rpk3lRV/mH8d19TSXqQWE9k6Zic+EizWnLstVjqt3JgDz7W+axywjsy9qPKC2i8UXUJ/jnWDU9iuyK2r0Sbhjv1Swi3DdvvMDgV29X9EnHP6PxwOidlamz1PH6b/4cfJRvwz98KfhNYSE5pt80cbL67kiJRQAsGQ1iEQBLTMkzzzyD9vZ2HDlyBA8//DCuuuoqTJgwAfHx8fjpT38KALjvvvtgs9nwgx/8QPd+Z2cnMjMz1d8lJSVobGzUPffrX/8aNpsNhw4dkqbntddewwsvvKAJDz300BkhAF5nGM/4Q+pKvxJeLAxoToj8dWFEHYi1CZABxY8z0VFxyQBKg6OH1Nddf3E+PswcmsDfyx6Hsy7z6p4r3lOh7gRQEy21UqicAyBK+3AABwV4+PwapYkCcTIwJ/rfKJ28i0clKHrtu0Kd2Dt5IW6e0i70cMMa9q4KVUWuX+QCVjqAGntE192AEJxc5sZHPDheGh/xRJQeBXij8VFZDN6dHIfHkqbiP42J+GhRfOTwrFWOiAFtT6Ie0K9LiPjUX+EA2h2Rw89a4oBZ9ohL0+IYIC8KGD+4mr/Vqe52fLAjBf9TNw8vpJVK0/7vWDues0/Euw2J+Kg7MUJcTO5KKMbQLJFU6p3SZ2frkW8rfBsQgXiefItIqwiwUuRVRgqMxhK2HcryoBAAZfdL1HZZ4qSU07XuWg34/2eOHXMu1+4AhA6Uo6FjgSmDXyqvZsE8X39G5e1xDu0AvFgYwAf5Qw4e/lMQT/r8X5hSp8Y1UmIRAEtGg1gEwJKPLb///e/hcDjQ2hoZGO+8807YbDY8//zzumfXrFmDpKQk9bfX60VbW5vuuT/+8Y+w2WzYv3+/9Nu7d+8WeiUaaRuA+Sl6g7G/BnLxQX4M3vS6dfcWpdQJJ3IzE5qZe9QKtmgV0OMOI3SwXOOzu/SOUlzSm6OZyN/0RGPhHr/QZzf/fRFQYQmACIyIJmdKzUb0nplVRf45fudEZlshAoaUCgZfLkagbllyLw43zsQbAxkaMHtia7q6ir0suRevD0zQqwvtcAFnJ0TAd0kMPprAqc+cTxjCNseZX3WPJewRFL374YRu7QFcy4MzcNTdpN7/MDYKv42dgG/Yg9gbV4fznavQ4dqEBkcPvtFWb3rV/42BDDzYWq/q9hupfVF1w5IFiviJ7ENkfZxvS6J0UYRABvaNiKzoPhs3qwJkdmfL42xFT9IknE4bp44ZJ9NisMA9A/WJ3fBWNqC6uh015ctV4C8jFcMJovFNNhZQ9djg6FEXdHif///rz9KM45EFnWJ4nWG17kZKLAJgyWgQiwBY8olkxYoVsNvtOHXq1JjdAWC3jCNHxWdoJo6/+XM093/gCyHgbCEnr+EEkVqBEYimntGd2jkYblqVpiEBrwRi0Ly/ULuad0sp6lxdQnDEp4VSAaJACbUyS4EYGaCjTv7lv8HeU3S7ld9mdipEQJ5/X/lN+bqn8tbgiBjr7imP7Aw0ezM0K9geZ6vpk4fvnDUdm+Pm42lvGe0taFrs8MB7LkcALnQNnwB0OjRx9EyaiprEOvQ7ytAV347m+HOFK9s+dwueWC23Y3hxgwetvnQsS+4V9hmljbH1zt/nn6UAORso9TAjMsCTRKp98bYvfDtV/vI7HPw7bLwimx3eU5eoT7P5Xu6ehg/SotWx4lTaOJzjrjQ1HonKRVZeojFENh6KnuHvfTVrimYMf6cgkVz9V1Q6lTBSYhEAS0aDWATAkk8k27Ztg81mw1tvvTVmbQD4HYDfFfo0x8V/kB+jUQU6XhTEs/4Qmh1dJOilJkF+YhdNfkYH9gi9ZLjDCA5M0ejnRv4vwdcWjNeQgD+F7Ki7MaglATeVIdBRrTMMpgA3TwCUZyiPPbJVPBE4F7lspFZZKSDBgzgRAFTKWwQK+bRSXl5EfvfZd5VnqHJrSuxWDYlF3m2eWJ2nutzcXLiIJgk9iRH3mY1xwPTYyCFaBdF43R0XUdlJ4MB7HkcAtnMEwG6LGCGnjouQhUA0UBETUVNqjYsc1HWBdidiT3mnpvxl9acYJ3+luQ4ntmo9D73BGPXy7ixFZFjUdihwbqTvL9PRp75JpY+Pi3pWNFaIiInoHpVW/iAw9pv8mONxtuLCpGV4mwH/SLdhW1IJCcZF/Zi6JxrHqPo0Ilhm7jU4elDiasLrE53q+H06fxx+V+jT+fxnnTooYaTEIgCWjAaxCIAln0ja29sRHx+P06dP480335R6Aerq6lKvDQwMkF6AvvjFL446L0CNjm485y/T2AD8r197QjClCvS4t1RnD0BN5LKJSzbBG014uknXHUZw+2TdLkD50RJ8t9Gtmdx3bsrRPMMeFlY/qGrBT/LKt0TgwiwIYEEx9Y4MNInKQQbq+CBSP+LBnwykUWkR7Uaw5cYSPeU5xZD4X5y60BsDGTjcOFP17a88+6+BdENvPad3RVyCFiU34fWBlAi52OWKqBdtc+r96e9yRXT6L3JFPBZJziTgw0e73HhjIF1V0RGVMQWUlbMJlgdnqGcPKCv+PNmU7RSx3+DJtKg9sc/Ldo3YuKhdOzMubql+KwO4ZgA/Wyb8t0RegOoTu1FTvhyLG1agpnw51qVvwhfSz8KbaXGa8eG2pGnS9Bp9nxrDZKpNMjIkaz9UOr6SmaMZu//gzdS5dT6YPU8H/j1OiwBYMrbEIgCWmJLXX39dd+3nP/85YmNjsXDhQvXanDlzkJWVhbffflu9dvjwYdhsNnz7299Wrz333HO6cwBOnjwJv9+Pqqqqj5XGM0UAGhw9uCF7nhbgFxbhHW+iZiL5uz9bRwJ2EF6BzEycZp+lVu9EOwjt7siZAMEBPQmYfHsIz9YkAuk2fH6D3i0oGxo6FugmchbkUCvZQlIiyDMFTpQ8tLv7VBeOlAGgiCyJvkGVmwhMUrYPojyKABH7V/kuS5xEOxkKEO6ZNBXLgzM0B1mx3zDr1WdfUwna3X3yU3dHKHyluU5Yt2aAOPUuS5ookiaqH+o7MhU16rsicCoD7mxdK38p41sRqKeuG40fVPrYtqam0R3G9KVtEVshpq+37SrCiVwO/I/3oMGxXgq8zfQdEakRxUuBejPjJhvWjZ+sGbOfzk6Bz9mC+Sn16sGOjQ79gWVKfCMlFgGwZDSIRQAsMSWzZ8/G3LlzccUVV+C2227D+eefj4SEBCQlJeH48ePqcz/5yU8QFxenOQk4Pj4e4XBYF2dnZ6e6Y3DrrbeipqYGMTEx+P73v/+x0ngm3YA2OrrxUEG5VBXow/xo/K7QT/qQNgKhskmLAiuKyonMiJUC0A2OHtQndmPajlq9se+txei9UO8OlDrYZymjd81/l9IvNpN/EVCgwDj7m9fvpsCIAjRFAEJmoCkDijywU66L0iQrA3bnhI+PBYyydDU4erAsuVd4/gCrNqTYGyxL7sWTq8/sOQCsD36+HGVglgJ9bDmwbY0ig+w9SmfeDAlg00ERONlfo7ZvhkSwaaFOVabaEgW0qT7qcbZq1ANLOEcB3wwnacD/PSk5Kvg3atdGY5psHBBdE8UvKm82nkUJa/B6nn3I648nFjXuOun7fN2MlFgEwJLRIBYBsMSUHDhwANOnT0dKSgpiYmKQlZWF1atX4/e//73u2aeeego1NTWIj49HWloaent7NTsCirz33nsYGBhAZmYm4uLiMG3aNDz22GMfO41ncgegwdGDhSl1uhX+l/zZWmMyr96YbH5KveHESIETaiIUgRzZJMmvOiqTfvGecjnYl4SOqjVCECQyMBzuNr5iM0CBP1kZKHEpIIlPJwXA+HdZoMfvEIiAm1E9ss+zYE75TZ2gzNoWsPnidbWV55Vnfe4WHG6cKdSfZ42NGxyR3YV7Wmbhne3JOgD/7o4U3BuuxZGmGl18/9mRgg92JpHA/987kvHVlllCP/wUuGbrnCd4fBtmy0wG4HgCKALfIiIgIxbUb5l6k0xNyQwBou7zaRblhy1XdrdJ5CCg9I5STLttaGfwsZIsdXWcKlOqL/OkhP8tU6kz6uOiMqZDGD/O9WnG6j3j64Rjg+jaSIlFACwZDWIRAEvGjJzJHQCPM3IewPOBkE4V6E2vSzOxvOJP1zyzMnWWdLIyAwTMTIB83FQ8mgk3uQXFeyoMwf6CvQF8qyUJ024tVq9VV7cL88HbAFD5Y9NBGWZSQIYCbiwZoMCEbGeABWR83YjyJiMxvN2CoqYk+jb/DZH3JDY9lEoKD/7YwOrPLw/OEIJxJa5lyb24oGgB7mmZhXta6rAluFBjY+Bzt2Bz4SL1kK2mxG4sS+7FluBCXNdcjG8uKcfRphlYFapSDZP51XdW5YfSrxcRQqodsXYTovd4EkW1Lz4d7PN8mbNpVAgLXw+ydMv6rnKNJ0JUuowIg2hc0ZSbO4yyg5U6F8FsmHpbCPvXZmDK/kr1UC+jPs23ceqe7NRkqg+IxjoR+Gfb0xXjZ2vG6J/meuEZ1PHn4xeFdnffiM0rFgGwZDSIRQAsGTNyJgZVfuK5OKtKtwvAHyhzOn8c/hjI1+wAUOBANkGLQOJwr/Ngj59o6xO7EeioRugWevKfvzeA130xQLoNP56egKpDERJQU75cCDo06gUc2DICRDLwLQJhZsEiBRQpVRtqVVAEzPg0Ue9RuwnscwqoY4mTrP5YAMWmgQXWbNzKdxVCwgMn5XkWzPIkQwS2+N0RnnSJ6o5KqxGgpJ6j/NnL6kX53vZc+So91R/58qLSLEqnmb5O3aeICF9GZscBtkyVcvNWNgxr54/t90bfpvIs66Oycvg4Zcf+npNwDn7qKY44bMhLwKKENYbfV+5PdTfgorQQGhzrR2xesQiAJaNBLAJgyZiRM70D4HFGdgEe95boSMBfAhPxEbPC9J+COPw6UISf+EP4fPY09GdUo9nRJZ0EKeAlAlFGEz2fbhkoa3D0oM7VhZKbynQrgcr2vxJ+McWBmqvL4HGHhdvnrFoGBYZFaTSbZ8r3v+w7VHnLdPT5lWAeiLHAiwVWMr1sFhizK99sHBRx4tMqah8UWObVZah2xhIHI5Aq240QvUvVJf8eHwefHirPbFtj2wNLeKg8Kvmg3MDybUJkM8KDaT4eSh1HBk6pPsH+LytnWbzUDhRbbgr5V/r6oqv9uH/eeEw6UiIkAL6ZdWScsnoSpVHW90TtWBY/tcvD9r3n6+fivJQKrB4/RZNW0cJAJI4wHstJB3w2/M2XA/ztTyMyr1gEwJLRIBYBsGTMyJm0AWAnuICzBc/6QzoS8A9fCpBv0Bz+zAAAIABJREFUw8kCu2YHQAkvFAZxt6dCPR/AaDVMNunLiIAMJMgmYUoXuP6GIH5XrvUC8rt8F7rc5woBHu+bnQJ0RiCCBctGAIIHDbxuPRuvyOOMKA2y+yJCQIFBavWd/z7v0lK0ok2VuQyIsyvuPJmgyogqb6M2ZdRWKUBL5YPfHTB6R2lrRoev8e1luACVqmuzfVGUf1EcstOzZURQlBfd/+4wMhf7NB5/ll3hwxv5ET//jzW7USEgAW2TV5vuh6I2JWrHsvRT/cVM3Sk7X8/WzTd0x8p/s93dhytSZgM+21DYdvaIzCsWAbBkNIhFACwZM3ImBlV7TA4ZXDE5+FZBQGcP8LovFccDgcEDZbTGwMrvp3yFcAni/UxDXA7yLygc9AYyBABqbwri+KR4LQmYEA2/PUN9L6nEg5Tp+Ugq8cAeNwryYgUrWEEf4nKQv6VI08fXXVqAdyZGafr35RuzuXNAShA8EPo/1bfz4zLxRv44Ffy/lh8FnNC7w/44YhEAS0aDWATAkjEjnyYBsMfkICEmB32pBXjWX6hb7TcKRyf6P/MJTgQQMhf5EDwQ0noD2VOEH3q1OwEvpUahviVX92zxjSFkLvH9nwILVrDCqA6DJD3vvICmr/Zty8PJ7HGafv3AvGSUH9XvAGQu8n32+TAZCuMycH96PHLsmR8zjmw8nh2nWf3vcKWM2LxiEQBLRoNYBMCSMSOfNgFQQkJMDmqceZif5MELhUW6lX9ld4DdCXihsAgTRsFEaQQY2FX98TFZeGK8lgS85YnC6l35pLpA4Kog7I5RkBcrWOH/aojLQeZiPaEvvaMUl23MxqkMm6Y/f6l9AsoY8K/sEuRfUPj/DaF3xmTjR9mxQL4NL02MQmNC6rDj2Dw+SQP+v5zhgD0mZ8TmFYsAWDIaxCIAlowZOTM2AGHcmNaE1oQuQx3c/oxqEvi/6kvDG94k3fkAPw4Uq/YAlJ6xkZ6qSK9WdF/mLlH0l9d7bnGci0dTMjSg4WT2OFywZSJJAor3VMDjDuu+J9Lplumji9Im0w+mjHfNlBulm86nj4+LcmvJ6t57nK06w0z2WXuM1nZCVF+Ktx7WTkJUf5Rhsqh8eaNh3kaAtR9g9dgpnXq+zcnqmfXzz3/TyHjdHqM/CZh/RtReRF6bzOioi9qY6NtGOvtmbBdEOux8W1DboDuMqm11+gO+jpXglpVpmj6MdBsOrElH6THtyn/ZgUrMX7mANPrnxyjqvtG4YjT+GI1r1O+7MiZqXH7enZkrtPug2sBaVyfe80Yxqj+JKHM1wuO0zgGwZGyJRQAsGTMy4oPqay/jlcJswGfDQ5nFKHC1oTN/J5qLN6HW240CV5tm8rg+s1nnHvQtr1OdiF72Z+gIwjfya0yDUBlQkQWZ0ScFBikgw4KQAncL7m1L1YCH97LHYfaBIvowofY5piZ6EehmgbQMFBqBAxbE8/HLgLdZAOJxav3CU89SwFYpV4UAfBxPSTJAJatvynMKFTfvHYf1tMMTH1kbktU3dfDbliy9m1H2rz0mR81Db4bes5OIJInaPuWhiM0zVY/U+6I+LKsnWXvly1PWB5S/gU69Uf+kwyE81Jas6bunMmzYfV62vt8ubVPJO9XmZX2Gbw+yviQqczN9gP+9ZUKpBvz/IScFhc5mKfEvcLWh1tuN5uJN2OC7FL/Lm6BZ/V8xfqr6zkiJRQAsGQ1iEQBLxoyM+KDaPU8zETw8/xLcuOFJNexb9yi2VN+oEoHL0+ZqwP3vCn34MD9KnYw+yrfhTwEPowoU8QwUcLaYchcoAmiyiZJ/hgKGCsAxmuiV972VDSg9VoKDa9JVEHFRf67QdWDopjINkJB51xGBBT4P/Pv8/2aBsAhoUMCXTwe7Is57HuLjo3Y2eHeV7A4ABUz53QUKMPLXZIREVmaifBv9pkCrEaGRATw2Tioue0yOsHypfPHxicqFKg/ZCjhPENjvGLVNKu8icirqJ7p43WGUHtKe9F1zcxA/nJGgAf//yRmHTdvypD7/+TKTpcFsvYrKfjjtgi+f9a6l+MATPXQqe14sVjmXC+MqcLVhxYzLsGftI+qY/rPZ7Zox/7ZMj+bbIyUWAbBkNIhFACwZMzLig+pf/oB3CqLVyeBXs+ZpCIASrlrxdfjc8xBwtuCFwgiwV0D+XwO5mvMBPsiPwW8L/Rqi0J9RLQUkssleBlZFk66MNPCgk7rmm1mngoSLN+Vg/9oMUwcIKfGwK8iiiV1UFtRKLp8fWbw8MDVy6SgK/Eo0VW7UdRlQ5VWAWJIhq3/+uxSZ4w8N4wGmaJdA1HbMtlH2nshHP1XnLOGRxWuPyVF3Cag0yVw/UmUt6188uDdqMzxpYevJqMz57xuRCTae+sRu+BfU6PogS9iRbsM/C6Kx6nKv7rmSY6UIHSjXnPrL9y2+DMyMN0bPGpWtaFzwOFuxMGEtXpuoPZF9Z3JY1x+VUOBqwwXzb8ONG57EDT1P4MYNT+KR9is14P/lUB6KXNodkJESiwBYMhrEIgCWjBk5E4Pq3tKZ+CAQh/+avwU3Dk4UVLh85ddQ4GrD3Z4KnZrPa75UzcT0boEDvykc8hx0efZ0cmKUgXQZyBzuShwbeJ1xavI0e3rotNuGDA99M+tI//zD0RNW0icCVkZAg88bBVCVa8qzlGoLlWZZPkQAl08jq87CPsumm0pLu7tPmF5RWfF5EQEtIzUUqsy359JnIvDXjEAkBZL55xXSRMVNlQF/ABifBp6gGKn0UAeKUXnn64DKt6gsRHXGf3dpci+mL21D2cFKsj9WHCnBU7OcQLoNfyqxY861AWHfDbTrFyVEJIuqN+pZM+OS7DuiOHzOFvwqJ0czxt6ZWilscx5nK1bMuEw3hr9QN7Tj+0EgDnevPoqN06/XfGukxCIAlowGsQiAJWNGRnpQPXXqNPaseRhH194jBP5sOK/qAALOFvzYrzcEZm0BkG/Dvxij4P05U7A+eRm8zrBw8mT/NwsUqBXFj0MO+O/VJ3YjdFOZFPyfvasAJwqisXG7B6V3lMJb2UACBKO0iUiBGRDCgz72Gg9oRdfY9yhwTqmn8GmhVv5ZssHqs5stGz5N1HfY/PNgln1eRDh4nXxR+YvSKQKD1OnKFMCTtVXlWcUIWJY2WfpZgiMiHTJAypatTLVI1r+GA4757ynfXJrci8qttYNGvuJ+OeOWYty7YDxqbi4mV/5L7yhFcGCKznDfqJ+Z6Y9m6kbW50Vj37cyyzRj60+yPWh0dGueYeumwNWGPWsfUVf+1dDzBP57bh9O+WPx5PwtuKHnCVy99mF0JA2RvJESiwBYMhrEIgCWjBkZ6UH1pRffMAX8lXBw/XfR5DwPZ7nX49ecKtCLhQG8V2DXTFSv+NI1ROFZfxn2ZLTC6wwLJ0YerJgBKUagQjYxi74V6JwhBBnh6wrxz4LIqaKnM2y4YVk2GhLPFabLaJXXDEASgUe2vHg9epE6kZky5OOgVHt4HXH+XQrMsmmmvs1/V/EqRJETEXDiASsLZNm4+Tj5eKkdFeV9UfrZnQpRWvl2Tn1DuW9EAKiypsqCKnMjNTW27Fh7EKoORekX9QWjvsrXB3+K97TbQmgUGOULbXUOlCPQXq2x1zHqe8MhcCKCPJx+zb93bUqtZkz948QE1WMP2y/Ycqv1dkvH8S+t/bJmt7fWO0QmRkosAmDJaBCLAFgyZmSkB9U//PQ14SRx+zkP4ui6r+mu7z3rEaEq0O8LvTqj4L/6c9X7LwwShmOeSh0J4IGfDBgOd3I1u/rIgqX6xG4U76kggcS16zJ0Lga/k5KOMmejLj5ZWikywv4v0qdvd/fpjF9lq5WyeyI3omZBERsHD7qVe8p9hQCIgBX7fZmqF18uFCmRkazhqKLIvsOmlwJiZgCmUbvlVYCUuNjdC/4+9W2jZ9mdFKr98PVt9IzZPPLtji//+sRueCfXI3RzmbryP3dfAL8tj8NvKuIx9Ta9/38d8L+tFN7J9UJXn6J+xqfFLMA3O0bJxocGRw/q3bX40DM0nr6VF4O+5LN0bZB/t7l407AWdpqLN6nvjpRYBMCS0SAWAbBkzMintQNw34ob8XZJOl6eHMLN6x/T3V8x43IEnC14xh9Svf0oIP8vgYkao+BT+VH4YyBfRxYOZs/TTHZGag4UmOH/p0CEbNWOAkvs7zpXF8qvnkqCiss2ZuODLO0Joy+nJuHcxKUk4DRDBnjQyeZLBnYpAG30XRlZoEAMDzZ4FQ2j+uAJAJVXo/rlvytqM0ZG2DJVFrMr1HzcMoLR4KBVomQAWEmjPSZH3QURla1I1YgiZBRg5N+lAD6Vf6o9sPmhAKryP/8N3bPuMAId1Qgd1Hr62bx1It7Oi1L73KPhJJ1vf52+f8cMad+nfhsRYb6cRIEnpEZpYOvU42zFI54GfJQ/Dqc847Atqc2wXXqcreoOwLGzv4rbu75uSACsHQBLxqpYBMCSMSNnwgbgunXf1kwGD3fswSl/jGos9ouGJboJY/+5j6legR7Iq1JX9pXwv75Mzbb1295Ezf1fFwbxnD+EgLNFB1hEYFC20shPojJwSAFCHnRpritAhLMJKDtQia7mGXg5TXty8Ptp0Tg0fjY8zvBQfO4wasqXo7q6PWIrMOh9hAVJfJopkCkDKhQZ4J+ngCb/vFE5UYBFVDc82GVVgNi/PMDl36OAs4g8GPn9p/IuKgu+XRp9g68zCihS71H5UgJbZjz4loFw2e4FVef8DoYMaFJlLyIKZtqGbtfHHdbp+086HMKdSyfodt5+McWBqkOUvn+EFEzaWov6xG7d92VEWZQHo50CWfmK6l5UNsqZD9f7N2LF+KnYkRqS1gn7f4GrDdesfgCvVhbhrZJMfHXlIRL439DzBPateVR18+xxWgTAkrElFgGwZMzImRhUV864XDMp3Hruo/hnuUfjLu7xhdt1k8eOpXeqE0ezowuXp83Fl3JnqSD/hG98xFd1QSJeLAzoTxAuCuI5f7HGJkAGFkQTrdEKJw+aRJM7BQzZUJ/YDW9lA6qr25FU4lH1iJckrMYzE1J0wOS/xnsxN3Etpi9t061ihg6Uo75zgU4XmQKGRkBDBPQo4CcCqBTw5AGSGWDH1wP/jsyjDfWbAs9m3pWlVQbM2LZk5DKTVwFiT0A2IhAiAM+DTKXMWBUrESCl2ohsB0TWv6i6p+rWzHtG5c7bTHSl9mP60jZNf2m7JoAXKuN1feyrC1NQeZhWAQoeCAn1/UXlRrVlM8RA1vapILuvxNOb0Y8HJ52lSYeM5PPxPBWqVsfvDwOxeHDZdSQJsLwAWTKWxSIAlowZORODaoGrDVeu1m4Tf3n1Mbxf6NC4jKNWkbZU36CZgFamDhGA44VFkZOBBz0BUUFRHbo3r4Y0DOZVX2STqllAIwKnZn4rYIXXZfc6W3BnUqUOoPzda8dZl3l1XksUbyRTd9fAk9wiBQI8UFTSQ63Y8uDZjD68rCyoMqRAKA8uRavzrEGrGbWo4dS3SB/aqF5lK+VU+RiBZ6qsWMBvRm2EDfyuCVVuPOHgvSKx/7O2A/x9qs6otkXVO/scT574subLiv12fWI3QgfLI33kWAm29+Xg37lRmn71bm4UeTBfybFSlN1cgepJy2CPo+1NZG1tuG3QqA3L8k212UZHNzoSV6Hd3YcX5syWtjWZqtr2tJBmAecfFV4c6v6mZuX/xg1P4oL5t2lW/z1OiwBYMrbEIgCWjBk5E4Oqx9mKQNICHFz/XQ24/9aSyzSTyFslGTh8zgOaSeTqtQ9rJpD5KfVCsG8ULsqqIidTo8la9Fe0em5msqdW2NjfLJBl41njnoI30xwasPJiRTzKjop1lEsOlSHQUa2qKcj001mAx4IAEdCg0i8DLLLTkql0iMpL9G12B0CkE+1xtuoOvhLpk1MkSKSmIdtNMVrlFpUZvwsgAsmidkSRIZ5k8IenydLJl4sMKPJxilyismnj7Q7YtBgRQ/YbsrpQzuCoubkY3wwn6Uj1b8vjsGCv2L//9KVtarkZ9QVZefL5FaV3OOOK7LkGx3p8PT2EN/Li8VxlE1kfym9Z/18yfjo+8Eap4/Y7/ngc6tQu3ly99mEsn3EZClxtuvYxUmIRAEtGg1gEwJIxI2eKAHicrVhV/XndCv+PmlZpSMBLUypw8/rvkAZkDY4eNDq68Yw/pLMJ4M8M+Js/R7cT8ONAMZodXUJQKAOeFBASTc78+2YAEg+MKb1s5f+pzgY8NagS9H7WOCy90ic1UFR2Ayq3zkJ9Yrfu2yIARuXTDOCl8s6XixkgQ33LiGDw5SZ7li9X/hsycsKDIlkajb4tAvmi9imKzwhkUu+0u/tUFSAZMRTps1NlQYF1Ku98PEZ9hy1f1kOViJSybkXZ71RXt+PsXQV4JRCjA//3LErBlNsJlR+mDy1N7lXbmqyezQJ1j1Or3iXqL2aCaOxqd/fhcOpU1WbqpCcGq8dP0bV9o/hnuOvwer5dHa9Pe224MHkOoqLsqPV2o7l4Ezrzd6qLNlScIyUWAbBkNIhFACwZM3ImCUCBqw2fX6l1+3lTz+P48/QqDQn4Vd18jQ/p86Zfj46koQl/e1aVEPz/prAQb3ld5BkBx4uCuL+gXGgPQIEeGeCSgUHqmhFYYMEMv7rIv+ebVI9r12Xgyu6sYfkpD7RXC9MmA7yUyokMfIhAnRmwZKQCIwLLDQ79DgD1DZmeM/WbzzdFFqiVeL5eqe/Iyox6TkTWZIEyKFbSpBAA/jlZ2xWlXwQ+RX1G+abonqyM+Hf5g9cUkkClp23yapxzSb4G+L+RH43+gTxT/v2VeER91Eyfou7z+TKqX9F9qn1vnxDSOE14Ky8GLUk1ZP8ShdaELvw5P00zVu9JD5D9RRbvSIlFACwZDWIRAEvGjJxJAuBxtsLnnocvrn5QQwJu63oYb5RN1Ews35/bp9tSPm/69ZidsAFeZxjHPJU696DHC4vwtjdRM9G95M8iVYGoSdeIEBhNxkar59QELZos+RNteTDpm1knBCvlR0tw59IJaLsmoNsJCN1UhjlTz1INF2W7Ezw4o0AZ+4xsFZG6zr5Drb7LgAUFzkXlxr9HGd+y32ddfIrSQOVruEBIlD4RURCpi7D3qP9lIJ0lAKI2a5Rv6l2eqMjAPAVYRTsO1Ld1gNkdVo3pFY9YSn12pfbj/Jxe1B4qw51LIh5/nq51YjZ14NexUpTcXIbqScs0cShpYAmAiBDL6pNq96KxQtTG+PteZxjzU+pxfspS9WT081IqcNozNCa+74lGR/J0aV3yZZ7vDOMbORmaMfrJbC8aHOul7ZlK90iJRQAsGQ1iEQBLxoycaQLQ4OiBzz0P13V9W3OM/F2r78B7Rc6hrWVfFB5pv0poVOZ1hnF1RiueGzwnQAl/DeRqzgj4KN+mUQd6oTByWnB36iYpuDEiAewEbFYHWvYNHgRR6gXsu4oeMxX2dGUC6Tb8J2cc9p6TiYojevuAspsmIdBZrSMCfFrYeyIgZrasKEBnBJRFhEBUrgooEwF46jAtozxRAI5KM2VDQKWfArwiQC07OEsEnGVglCpztq2JypbNG6VWw8Yn8m5ktr6p54zKyeOMAP/6zgWoOFipaetVe8vRuXoervJvwKNTVuCmwh7Udy7AlNtDuHhTjtTHP7tjxqeBbWtUfkRtl28HbDBy5yq653WGcXFWFZ4PaMfDF70FOOUZN3Rmimcc1qdMIstTpoL2pfRKDfj/ZZ4bRc5mYb5lv0dKLAJgyWgQiwBYMmbkTAyq1KS+YsZlOnuAhzr24LQ/Ylx2yh+DxxfuIN3KLZ9xmRpPwNmC5/3Fmp2Al/zZGhJwOn8c/hKYqJkY56fUGwJ32QQsAlayd6n7LMBjgZOIAKjX3OGI60/O+8/cfQG8l609POyFynh0fJG2EyjeU6F6CZKBLH71UzS5U0SCL1PRPRYEyVa7qThZ1SkRgREBS+W3SA+b12sXfV9Ut0bAXMmvzHuPDMDLypP6n0+H0tZE+vaidk7lzcgDEWUEzpMLabsnfq9L34Q5U89C8ecnaWxeSu8oRf9AHl71x2DnphysvmIKdno+h3Z35PTfqoF63fO8zQyr8kMRJ1kazabf6F1ZaHD0IOBswfe8lbqdzj8H8nA6f5xmR3TP+DphuxKl54LUUg34fzU/DlXuesM+KcrXSIlFACwZDWIRAEvGjJzpHQAlFLjacMH82zSr+zdueBLfm7cZ7wVdeGDZfvHBMuseRWPiRjUuyibgZX+GZuI7nT8Ofw7kqfcvTV8mnKREgG64E7boGRmAZlcXKUDO/s/7Mi+9oxTTbi3GVxbrzww4lWHDl9onYDpxoFHxngqdL3MeDPK/ReXEp1UG9Hn1H6qcRDYV1MoqW25m0sqnmQWn/Hcp2weZwSulPkXVM/t9ox0WioiI2ga1GyHKI7WSLbIbUL7P6trLSCP/TTN9gk8ftfvQ7u7DuvRNqO9coDsDo/SOUjTvL8STs11q+3/TE436G4JoXb5ATU99YjemL21D2QHtjkHFwcka//4i8iUz1JeNHVR7pvqPmXHF6wyT4P9PAQ9O5UdpxsAf5BaT7Yonsvw3BlJLcMo7DvDZ8B9vFDa4FxumkepHShgpsQiAJaNBLAJgyZiRT0MFSJloClxtWD7jMly99mENyGddgYrC/nMfw8oZl6PA1YZGRzceK9CTgNd8aZoJ8FR+FP4U8OB4URDrk5dJJyse3AwHuFArtKJrFGDgVxeF4ModRuXWWeQq5trdBfhTiV1HBF71x2DrBRN1ag+FG6ahurodNeXLsTS5d1j5pQCrCKTLfouAEZV3th2x8VBegChgLCpXimTIbBuMykdE4Iz+epxat5myNsWTAiO9cTZfig2A8pu1f+DjMrujQ32fJ5GifmG2rdUndiM4MEXjoaf0jshpvtednYF3c8bp2v71a9IROlCu6vOr8Q+eou2bWQdvZYPGUxbVppXffB+l6sgob7L2L6p39tkdWdMJ8J+vA/+veyfgWX+Z7iwU0fjFp29r8ly8XWDHhgkV0nZvtEvY4LBsACwZW2IRAEvGjJxpFSBqwilwtZEqQWaCYhMQcLbgp4GQ1ii4KIh/+CboSMAvfT7yUDAZ6KBW9cyCQjbw4EikhsTrZfNAV02POxxZxTxUoVsFnXx7CDevSsMHWXow9Fx1IhZf7SfVgioPTlZPEWZBoayslP8pry4UIOQBA7/6LLrHlltvRr/mGQWUyYiVqP54FScqjaJ6M9oFoQCf6B2jHROz4ItKA28Xwbc1EWmSkRpRXikyJdtVoL4pIhzt7j5y92vDDg/+FNKT3jfyozW6/t7KBk1bNQKsVL6VcqPqQQb2zT5rJnidYfzIX6LzgvZhfrRmzDvhS1EPS5yfUq+Lh6oX9t71/o1ocPSgzNUobX+iPPP3R0osAmDJaBCLAFgyZuTT2AGgJpFab7cU6D+wbD9+3rBU4x6UPy2YdA9aWIQTvhTNhHjSE4MFyTMMJ1gK0JgBkrI4zejRs6BM9K4uHcktmLRrBrkbsGBvAM/PSNQBow8zbdi/NkN4bkBwYIpuNZQCrmZAi2ylUQY+qXfYNPBkgS83s3VEgUGWdLFkQ1QWZsE7m2YKvFNx8Co9sm/zwIvKO3uPUmURgUERoTEDBPm/vM0F1cap+OoTu1F2sFJtp/P3BvC9epeufSPdhgfmJaP2pqCmfVdXt0v7MJsWaieE7aN8u+Tbz3DLheobVB16nWH0Z1STrpD/5s9RbaD+6U3WnJS+MnUWSbb4NCvXryz4nJCk8Op1sr7OhpESiwBYMhrEIgCWjBk5kwRANtkWuNpwzdpvauwB2BODPwzEAj4bfty0UmcTcPXah9GVthmNjm7VPegLnHvQE97xGhLwnQw/PM4ht3krU2dhfkq9bmeA0rsWTdiUioPsGRHgYEGZyE86C0JZYBRor0bogF4nuvRYCS7cnIvXfNrDj2S+zxUvKKK8yNIlSycF8nhAIgPE7DV+d4LyzW5ELkT1RoFcURmwgd+VoHT7KZUYqk2YLXsRgFN2cGT5MjpzQkmryAaBJyJGYFZUL/xzFKBucPSgbfJqlN5RitqbgrhryQR8kKkH/r+piMfqywrINl1TvpwsW1Eds/linzHjclYGhI3aF9U+Gx3d2JPRiuf8ZdJTz//mz9GBf9b5geibAWcLvpddgPPci/D1yrOk45UozUbvjJRYBMCS0SAWAbBkzMinYQQsAmSUGtCt5z6Kd4uTNV4oftD2Od1zs3yRuLzOMC7KqsKz3AT5tK8YT+dGDINfCWTj2oJu3JA9D89wbkR/GCjH9qwqeJ1h0xO4WUDJ36NWgHnDTKNvkffcYXin1KPkUJkO/Ew/VIwjnan4IGscnqtOlLpALDlWirIDlaSrUFGeRfmVrXSKwCQFlEQr3TyY5cGombhloEz5n98poAgaD1hl4Fb2jCgNFOCWqSGx74uALF+W/DuiMpfVJVVuInBvtm81OHoQrl2B0jtKccGWiTrg/6YnGl/oySJd35Ycixj4su1ZRq4oUsW2a9bjlGxck/VbGWHi0+R1hvF1T63+/BOT4Tl/SDOuFbja1NN7a73daEpYj//OLgB8NrzvjcH1mQuEfV1W90bPjZRYBMCS0SAWAbBkzMiZtAEwmgQLXG3YOe8uHbj/2oqb8EEgXkMCHl+4XfPMtV3fUo2ClclSv7IfxvYJIQSdTXimqJqcSJWdg3vzatDo0BsDGoEVGSmgVoJF8YsOGZKpJPDAKtBZLQT3c/cFMH9vgLx315IJ2Ljdo5KDmvLlKtjl3Tjyv/mVbaNy4fPElonMBz4FUBUCoKiWGNWZEkQnr1LkhI9TlFc+L/yzorhEhIh9n/fkQ6VfsZEwky5lJZtS8eHzrgRKHY1vzyIyRKVJeaY+sVs1yFUM0tn8tbv70FG1Rt3V+vlUh6rOdvfiFMzk1H3M7miZCSKMUbbBAAAgAElEQVTiJLKtoNqSiFiI2hEb556MVtLVJ+/iWBR2DB6AqNhc7Vn7yNAY2vMEflYT1oyxL3qc8DpbDPNkpqzYayMlFgGwZDSIRQAsGTPyae4AUBNHgasNPU16F6APd1yNU/7ooYPC/FH45pLLdc99fuV98LnnaYAdH0S2AmZODDazwidbvTRjyKkAWQo0mplw1efcYVTumSYFRHw4d2e+upr6k+kJOOeSfCxuWKHJd52rC9PnzsfUVWH459dIzxGgACCZViKPIrBN6WZTNgAs4GVBGq8Sw9eNjJiJ6lQGbCmAZ0QuRGVEESwZsdyea/xd/iRgWbqMVOGoZ9j0UaSuwdGjuuTkXXqWHajE7I75ODu5Eu3uPlxZ8Dn8fV0pptxYidJjpVh9WQH+q96FBQIyS/n1l6WXKndR2fK7dFR9i9ow1ReoclXuNzq68Zy/TLNg8ZfARJzOH6dzcUyF73hL4XWGaffLPU/gJ43LNOD/5fw41LjrhPkTpdfM9ZESiwBYMhrEIgCWjBn5tM4BkIXZCRuwZ+0jOnuAxxbtxEe+ceokdcofi4c69uhIwJUrvq7uBPCBmkh/U1iIdwoS8ZI/W7MT8PTgljk7mck8mZiZKM1OmpQbUNkKshC0JLeg/Oqp5gjAsRL8arJDp1ZxPC8D5zvno851DoI7JqPkKAewjpaicruWCBipC1ErydRzvIoLD4z4FW2ZPrsM2LLfE9WRCBCzq/D8szIPSvzKsYwMGQFEs3nkv+1xtupUWag2Zpb0UnVFfZt9Z136JlRtq9MZsFccKcH2vlzVs88vp1bh/orVaHD0YP6qBaZJbehAOQLt1ahP7JYCfBkxpYLoBGVZv2Tbv6jOqbJbn7xMA+j/7s/RHPJ1Kj8Kvyv0keD/+97JaHZ0weOk1SyfbTlHA/7fC7qwdare+FeWTzP3lXofKbEIgCWjQSwCYMmYkU/DCJgCGHwQuQX93rzzNZPVB4F48tCw86quJycmfiI9XliEt71OIN+Gj/JteNmfITSa4ycyMwDTCDSJgIDROQCi96lrS5N7EeiYgdCNZeTKKAu4rurOxAlvNOlR5SdTEiKqQUc5/erBeMoOVqLO1aX7Pgt0eYAg0qHmwSRb7qL7LAHgvynSY5eBMva7FOjn4zFSfVJUqNh8Gq0IywA4RU5k6eKBPw9k2ft8Oo2+Lbsn28Vqd/ch0KFVVZt0OIRLP5eNvxRrXXq+4B+P3vTBupCcgaH8rri8Ct4p9ZrTfClAqtQNVeayeuDV9ETvmR0DRG2nwdGD81OWqmPS//ozNSedI9+Gf/gm6HYxn/MX44bsuaoqY4GrTbew8tSc8zTj6fuFDty7/EZcvfZh3SIKv4snqlNZXjxOiwBYMrbEIgCWjBn5NAmAbPJgt6r58ExrNzdpJeC+FTdontm37lHMTtig+xY7kR4vCuKvgVzNRIp8G173paqT6fkpSw2Blgh4i8ARBTD5/MtWsmVggwJb6jPuMLyVDfDNrMOU9bOFK6bTbi3G/rUZ+Fc+TQSOT4rHts25pKFlcHvEyNI7uR6BjmpMW9qG6knLNKeqyoCOLD/UezzIN/Jow79HxScDZ/w3Ze+L6kFGSigAz/9PqTDJ+pSICLFAVtROZXUgar88+eLj0DzvDqPsYESdZ/qhYuztysSrgRiy3f21KA7nJJ8ztOOinIHBneQbOlCO6UvbpAd6ifoknz4RCWD7qAgUm60f6vt8XPNT6nG8sAivcocbIt+GV31pulX//oxqnUezcwOf5xZTNmvG0Q8Dsfh65zXq/c78neR4JcqbWVIwUmIRAEtGg1gEwJIxI5+mChA/cfJ/I8Zql+O6rm/rSMAPm1drJq+TRYn42oqbNM905u/UfXN+Sr1usvxff5ZuRe2NQRd61InBRgCTmtgNwTn3Hg8uqJVwM9+k7ivASzlJVbSCWttXjb3j/Xg7LY4EZC8VxaLjiz7NTkDJ0VKU3Uq4Ib2tDNUbm1Dn6jJUN5GVkxHJolwzinz8G9UHdV85D0Ckd2/GmFOpTzM2AqL0yEAWn0eZmpVSZkZpFrVnvt5Ym4z6xO4I4aydhelz52PGzKWRQ7gGyWBvRj+8lQ1our4Ih5el4q28KLKd/aXYjp2bclBxpEQ1SNeUzyCxra5uR9vk1aTXKlFdUeMPW95U+SvvULt0MuArqicR0WO/ucz9ObxSkKoZoyI7lpk6JwZP+0NodHSr9aEY/V53ztA4+uT8LZrx85Q/Bt9ov1Izfq4qulyabiofZvI/UmIRAEtGg1gEwJIxI5+WFyCzevIeZ4QILJ26U0sCep7AT2d3arauH1h+veaZ5uJNuonf6wzjGX9Ie07AoN9sVqcW+TacKHAh5GwSrszKwNLHAQAiUCZbvRTFSxlA60CQO4xAe7VuBbXsQCUC7dXqScD1rXNwzboMvM6dIfB2XhSqDhUPy8i45PZSBDpnYGlyryYtPKg2IjlU3my2aB0B4MGpYhTb7tZ6yaFWb3lgwwZerYYnHEbgkuoPPCEQkSIq7/xBZUbti82XPSYHNlu0IUmVlZemvbnDqO9coDPoVcOBSZi+tA27stfhcW8u6ccf6Tb8riwOF/Vrd5p8M+s0ZcSTO1lfFKmQUTsWVL2b6aNK/fPjglJGIuIqGksaHD1ocXTh6Sy/Zmw6nT8Of2dslkTOCzqS+nVGv08s2KYB/6f9UfjWEr3KpbKAYtR2hzv2jZRYBMCS0SAWAbBkzMiZGFTtMTmfOMTH5mHP2Q/rSMAvGpbg/UIH7l9+QDeBFec2kXH1phWQE+efA3k4lR+lmWifzYpFjj0T9pgcJMTkoMaZhzlJHtQ485AwAvkaFSEuB0klHqRMz0dSiQf2OO397BWRVf7Jt4dw+cYh3eyjHakkwFt2hQ/lvJ0AF/IvKNR9xwr/nwa2/ZR5kL+1aHAniW4DyvXiPj/eyNCv+v90WgI2bctDGdGGkko8n31+P8WQEZuFH2TZNWPSqfwo/Nmfy638R1QWD+X6NePSvKn6M1Me6tyHDwP2CPj3ReGxRZfoDle8cs0DiI/NOyN5GimxCIAlo0EsAmDJmJHRSgDsMTmYP7VXbxPQ8wTuWnPnsCawhJgcHMr1ayZOJfzen48P8mM0E+4fc6Px+fQc/MBXqHn2B75C9KYVjB0iIAjpc7waEFZ+tASbt05E0/VFOoDWeKAIH2ZG1IMOrklH4wH9M0rIXOQzJB9WGMUhLgeZi30IHggZ7vy0XldIXr9xUjKQbsOpDBseb3TjrMu85HMlx0oQPBAas+2DXlzIxtMc+H95YhSuTM8mx6LPpWrHovjYPFy55kHydPWHOvfh/UIHvrPoYtLOau7U885YXkdKLAJgyWgQiwBYMmbkTNkAmN0mluk8F7ja8PmV95ETFh+2VN+A+QlnCw3+Gh3duDqjFU9zJwE/7Q/hi1mV+ENOCrHqNpFbdYv8Peap1LkLZdUTjNQ3ZOoFZtSLjHTB+d+8ETGl+8z+X+fqirj+PCYHeaV3lOKmVWma1dxTGTZ8v86J87dOROVhBigeK0XoUJlOTSR0oByBjmosTe7VeWnh1W+o6/aYHI3rTT6vZtxdip6VqSiZUQ0TqejI6o3SV6dUVKjvynTM2fTYY2gjYKV8yX5pwoak5uZiXL4hG7+c4sDpDBvCPAk4VorWy0M4MjlLSBDYEGiv1pUVVZ+iswaM+h/r/cjIUJjvo1QbkaVVic/rDGN7VpXuRPKn/SHsyWjFodwlOD24K/nn3GTVNz910CH/3c78ndIx8vA5D+gWTm7c8CQumH8bClxtOtUvSj1J1o5F5TZSYhEAS0aDWATAkjEjn7YXINkETQHVxsSNuHzl18gJTZnADnV+CZeOD+OdglisSpkq/bbXGcbW1LOwMnUW1icvQ6c7ops+N2Edfpil9RD0D1+K8KAdVu9WpFMsAnjUpMoTAJG+8P9r78zDqyjS/d9IJCshhCUJAZKcLTsQkGwEEiIEgrgQjIAsMhCCiKAzgqLOjPBDEUWHXTa3kVGv4x0HFRcYvXdcGEFFnTsC7ijouA+gIogJ398foQ+9VHX3CcEczvl+nqceOJ1eq6ur3m/VW29ZGRgyIyfQ91ARXY+s6/s68vH/Zz/zOgJqOpjWFg9fmNjUy3vCDcRoPOZpF21KGOqPWlTaa4w/nKMsP1V/dqsoPUZj2qkxox4jercyY1t7bqsJv7L3JTL2je9QZFRqxY/2X9E5p3Se7RcAsjwRlY/Cmmrh++9zdw6unNsTzw6Jx9FubXTvf+24LsJjXP3K/SE9TSLTsIiXrFzLyq1xboV2u927tsoL7TcaaFLP5Yqrwv1pBbrOBDWp65S8ml2EhR0HY3f37shvX2lbJ2jF7/Scpkm9Gyfc76jTZMnkzRhTPF9n/NvVF06e0/i7paAAIMEABQAJGVpzITA7Q1f9uxodaMnkzboGbPGkxzGmeD7mdazGz66zmqIDudqgrlOB/7gyVx2GZF+JMleddLEwtSEdGj0Fn2d0BNIVfOeKE64WrI28Udf5Ssv7t0rG3mHVuFCUtqfU8BqNT5FoEDX2xnNMSr7iZG+9pMc37/6mtQRmze2JFwbFoSFJLATQVcH+zLNx9yWdcdFij1RM5KzVr1uQszofvun9dWsNGA06bW+2sdzI8sVJb6+VoWgVztM4SVVkXMoEgVFsyFa2Ft2XSKTIogGpoya6+4qvQnXfCXAPGARXQQUmd73y5DHxVchZ0etkvP17cjH1xnQ8OrIjDqaJQ8eiq4K9Oe38wk+bqsrGojy2Dt7RJchZbl4JuLCmWreCr5U4svtOnAg9p9+sceTEyTHafa5PKbRdjXx3ZhYWJw3D4Ohpwm/WqsyWuabitXMvRYMnAk+MvtVWANRm/NZUVkRlWHYPTuuploICgAQDFAAkZPilogAF0lDKGnrVoL80c4HOoL8zya2Pb+1qg1V9RuG2SU/oGrw7Jz2FGYXLTOsFqNdSY29/5knGOz6vtPdfTUu798O85CJckDhI6BJkZYAYDUZj72IgwkJm6GqvbYxiI8pf0/kThiJrXl/kCVYCzr3b3Jt/7rJMrJjYFZ8YFnTSpvVjxBOJhb3B6vU25MFbW4JB7af4wz+W9hqD8tg6y3yzEj/GY0ShPq321+5jzG+r6D5OjU6RgWc02q2uJ4rgoxVNaijNoQPHwDe90OSapTXES3uNQd79eRg/34VHR3bENxlyox9dFbx1TjQWXN4NxWvEEaNKe405+Vwnzq8d9RG9G+P7cNJjL8pDK7EnE3dq0pY1p65laXHDUBs/EzekFOl6/d/xefG9KxafGcJ67tKsSC4T52pdONWzwN+5URlTjwdSempi/LfDY5f8QTpyunjS49J60O47siqzom0tBQUACQYoAEjIcLpHAKx67WRGsWx/mW99RXQ91nYp1IkAuBW8MPwKU8On9Xk1nnNc54GWBv/7Phc+9KYL//a6NxvXpxT6G247g8/4f5FbhpWhKDL0jaLCaOjLQija9oAnDIVnZCmGTKqGZ2QpRiXOMK3mqjfkczHxpgz8+fyOOJSmj/oyepHbtP/5t3sx47o09NtgPbk0d4NhxGB5LySPcqOkzyWoKhurMyCtDHnZsxr937XCQFZuZaEetXktcifSvh/Zv6JvyGp+icmAi6/CxUUTUVU2FtV9J6A8tg6Tu16J5IvcJoPfyjVr6KBLkHd/HlZO6Co1+j/znY31Yzrj/Nu98vd3X5OwcLJInFU9YDUCYGeszkyarc8jwfHGOkskAKzuV/t/rduPmj7wZuBoRjt/eM+93jRTfTIysVx4rYz21RhnGA29a9qz2FU0yLRi+qaLb5f2/l9euMzyW7DKW5nQkdVxLQUFAAkGKABIyNCaLkCWxovFNpmBd2OXbDQaRMBr516KVYKoGPXnLtX5vqbFiRcNU9Menw9HMiLRmN4Gn0rice/OzML9aX38IsDO8NT+Fs0BED27lTGq/l0kpLS+wqJk56qivSd1UmjR3EG2cwQK7s7BrLk98fTQDtjdJ0roEnLfxZ2ArgqOdGuDFwfGYVFdCkbe7hXuazdioE4q1vqPi3rMZUa7KN+dGJYyA9+Yh8YRA1n5Ft2PVVKvWx5bB1e/cgz5dSXyV/fW5U3vFQXIvq23NO963ZuLsf/PhZUTumL8gpPReWbd1DQf5KLFHp3R/42raY7HxJsyhCE8RUmd2KsrS4byJ5sAbfUN2XUeyOqaQJJIAGgn/xu/m9r4mVjavZ+uftjvSTWFHv4xI8rkDnR1Yo3pPt3x55mCIqybuhkfF/bX1Xk/emPw32NWmKIBqb9vPG8jLu7gzL1Mlk9W+Wf8tloKCgASDFAAkJDhl3IBcmrINKfhVrdltK/G5uq5aPC01TWIuwYOx13TtphEwOJJj2NG4TL/aEBldJ1w0bDdvkwccrXXNdrfujtKfXjnpRQKjWirZ5C5sogMH9kCTbK8tjI4tUaX1dwB4e/4KpTXjkSuwXdfZqTLjMSPcsQuQ//2nY2/jkjA9bNSce4y+6gx2usVzSlHeWydyRiRJeOziVx7jPuLhITsfcgmBdsJOqfGf3lsXdNE3RV9nAum+3Jx4WIPbq5PwdbKeJ0//8ZRnfzHFKwsQP6KAuTdm4vXimLw8IWJmPLbdNPaD6ZRBMN1s+b0M/X+a0et7J5dllfac1iJXLuOBe13JfpetN+o7F4ropsijpki/fgy8bVbH2kM6Qp+yIjGuz6PcARAe/3BMdNx+zj9uij3/Oq/8UVBpq6u+yE7EdeeMwNjiudj8aTHTfXdmOL5OuO/OWI30NRSUACQYIACgIQMv/QIgKgRtnJ10RoGVsZ/RXS9PwzeE6NvxTFvlK5h/LiwEOumbhb2iGldgualFJmNeknjfTgjGu/53MJJwrcnVenmBVgZDqpxITNGZYaQsdfeiXiy2j8Q41P7t5qEmXCdMwh9ritF3hpjmM985K7NlxqHZauz8IU3wtKnXDuR+PHhCZh0U0ZAvc3GvHKSX+WxdSjpcwn611Sjf001SvvU+o1X0dwAWRm2MhStVor19+afiIrkKqjQXV/9NtLihulCdFqFbi24OwfjF7hw+6+S8dzg9vjWwpd/b0473bH9pg12JsBEaXkf/0rTxnyWiSzZ30RCwW6uhmwkxUn9oz1OFQBWLlqV0XV+lx81ss+7Pg9+yIg21R+iToRdvizs8PRCZXSd//wZ7asxfYh+1fONEx/AwbxuujruYF4K/jjhASye9Dgy2ldjcMx0/5yp2vQbLYMgGJ/Lqo6QlVnZtpaCAoAEAxQAJGT4peYAODFMRY2r3XHa4y/NXOBvIB8duwo/ZsXrGsgv+3hx72RxSNEZRU0+sa64KjzSs1TXgJ8cvu9mGr7/Ob0tPvF2F44EbE7vD2/cUGkPs3a7KgCseuFljXAgSRThQ9bgWxlNsuNERqvlfIETPdGjF7mxbFJXvF4Ug2PJ1kLg+lmpQiEx/E7fSbeh+5rcgbSuQKKoOqZRgPgqeGuLkb+2l+ka+et7oe+V5SjuW4vSPrVNk5H71KKkzyUoKRkNV0EFymNPGm41CTNNYU3LY+t0k16N6x/47+HiEvReUSB0b6pJmKkrQ7IQndp05+Qk/JTSxpHQOtz9LPxPeXucs/7knIyhA8dIRUauv4e/L0r71MJdNhDVoy6Cu2ygTrg4KcNWPfJ2ZVj028mIgKjuEd2b3ShdWpy5A+Fjbw/8nN5WV2c0uRGmWIYYHh0/C4NjpmNcyQLcYYh+9ujYlfgxq4Opbrtn8kn3oDJXnfS5rb7/QOsbJ/VQS0EBQIIBCgASMvxSIwBOhYCTxkh2TJmrTtdQ/mnC/TiUm+xvJA9nJeCBiRuFAmBZ3RZUxl6OiuimiXvXpRSZFg0zTuAzrRkgcAl605uNG1KKhAv3GAWAXd7IIgsZhZDV3y2NX4vGXzU2VTcLWQhR4fuy6qEW9FgXrc3GzGt7YuOoTnivV6TJQK2+wzzR9Ob6FKCrgu96noXXi2Lw0EWJWDC9G2ZkDUafuMEmkWkUYSfv09n6B7KUs7wXvLXF8NaWmCfars1HnkFYFKzoqwt7WZMw0zavsub084uA8tipqFqYi/p5abh9SjIeG5GAGsFE6+tnpUoN/mPJCt7oH4O147pg8u8y0Odu82RsNepSYU21KXRnzvJeptCdMgNcZHRahaMVjdwEUm/Ivgm784q+KVHIWe3/XXFV2O7Jb3Ih9GXiK3cnHDfUE0czzpYGEtideXKRQZG//6rpz+PJmpvxs7edzvj/pH8/rJv6pG6/SzMX2Na3gdSvojxx+h5aCgoAEgxQAJCQoTUWAjvVhknUEFVEN0XIuG3SE7rJb/dOfhRf9vHhZ287PDp2lWVc7Ppzl+quUxldh5GJ5ZiXrO/V2+Pz4aArXuASFIX3fS5hw77VlYch0eZ49uq/otVZjQaUKCKN0ZjRnlu0qqss7wKJhy57v8Y4+VrxkBZfJYz7bjl/4EQauCoLV13TAw/UdMLLZXHCycF/OS/Bslf7h65R+FenJGzp6MW9HfphcnxfU17ajlQ4SRqjXeoTL+w9b/KPF/XmF9ydg+o7vJh6Yzp+d0U3rB/TGVtzkvFep044kmR2n1owvZvpHOff7j3Zw5/aBjuKY7F2XBdMuyEd/dfLoy8ZI/eo8w2MIxtOvlUrA1PWG201emNneMrKtsiNyLiv6FsRjQBozzMt4RL/9/61u5Opfjjkai8NL/y2r2nuUGV0neUK6A+OvwdHM2P9xv/usirh/KYyV52jURarfAu0fpYJhJaCAoAEAxQAJGRojXUARIZjoA2SrGdvRuEyU2O4bupm/GWMebtoZUyRn6wrrgrbPDl6lyBfJv7tSUZjehtdI9+Qfhb2e1KFjfyb3hzUJJb5/XtVg2N0/CxTFCCrZ3ViMKn5KhMMxnwXGT+yEQeriCuynlb/thPx5/0uQglDT/Z4n0La0zvKkXuLmj5O7Yl53WdhZtJsv1Gbt7w3tlbG48/nd8TacV2wqC4F183ujsvnpeHSBS5ccJsH5y7LRMmabGEvub04yEXB3TkovSsLQ5f6MOpWDybelIErru2J62el4toyd9NkW4Nw2JsjX1dBlB6+MNF07fx7c7FgejdccrMbfe5xFrFHTRUXny8tQ9qyIisHTic6G8uu7FpW34LV/YmM+kB6srXfqCuuCiMTy/0rirviqnRhhN/1efyuP43pbfC5p6s0aMDuzCxcf2Jl8YroevymxLqjYtPFt6PB0xY7hkwSRji787KnTfWY1eiI07rarl7mCAAJBygASMjwS7gA2Q0ri3oJZY2J1VoA6ijA/JEP6ib5WqWnR83X9aDVFSzRLTSmXl84OTgzCx96000uQZ94e0gb+t2ZWXjDm+NfM0C993YRqaaeczshYAydaNcQWzXyomTn5iM18h1ez39cfBW8Fxeb4vwHkgaszkLdjem4/VfJeHx4Anb3icKRbnKf97916Y3R8bOw2lePR3pNwkPjyzFgdVZAhvbPyU296QfT2mL2nJ6me/r1b3rgm4y2OJR2Fn5MbYNGi5WS0VXBtxkRwmfbXhLr6H6+63kW3ugfg9t/lXzKgso4MuHEKLT6NoXvXVD2ZPWCqI4wXld2fSfrQDgRBu0iUuGKq8JtScOw3ZOv+6Zf8eRjY49Kk///0Yx2+Eji8qNGG3ukZylq42ciLa5pwq9xxXNRkrkyrpr+PMYWL3D0XuwM/lPZlyMAJFShACAhQ2tFAQqkZylQIzajfbUwDJ4xPT9yDuBWsP+cPrj7V49Zhgl1xVXhzz1LhA35Hp8P/3F1ANIVfOPuaGn8a5N2zQBZiEGrnlArY99uu9U57ERXIMIiLU68wJbIsBuVOAO++kLk3qV3C8rfkO/YpUabKkePxKD2ZZgXNwyr44vxYMfu+L9O3fF55zgsjy/F6PhZmNe96dlKSkab4twHkq6+pofp+tde1T2gczQkKcJQqZuqT7o3He3WBh/ltsMLg+Jwn68blnYoRd3Vbgxelmm/boLAwJf9zlneC97RJf5Qqlbfq2rUG13A7AxDp/tZlWurexO5xsnO6US8xESk4s8nAgRoQwV/5E3DHm+Ta88uY/AAi17/Vzx5uO7E/CB1lfOxxfP99c9/XboOL4yYZSsGtGnBuD+b1jcxPk8gk6id5Jld+NWWggKABAMUACRkOF0uQHa9Q06GjrX72vmoi86X0b4avxm5XthQ/mXMMjR4Ivy+tIdyk/Hwpfp9jQvnuOKqcH1KEd7wZgsb9E883bHH5zP/zZcp3p6ZhcVJJ0cARPlj10Abe1S1hpXMKNMa5rL3IOuNVZNofoGdUWE3SuDfLnATEk0+bTJcxbHos+b00xmvsmdT86e67wSct8SLZ4fE47WiGHyYF4lvM9qiwabXXk1XzjWPAFxzdQ/Hxv+xlDb4yh2BkjXZpvNctNiD8QtcGLw8UycQXAUVGB0/y1EUIG3e+BZnI2d5vsHgz0e/aYNRXFrjj9wj66mXGe9W36/xt1Vvv51R7jQZr+HU1dC4rzoX6M5u+pC/e3w+fO1OxPF0BQdcHRwL/92ZWdiQWu739x9bPB93THpKV/c8e+Fv/aGMnxq1wLHx744/T1gnNCffnNTjTs7XUlAAkGCAAoCEDKdrBEBkBNoZlYE2LE4arsrYy7GszjxJ7k8T7sOB/FRdNI1j3khsufBGYeM6pni+ziBYbljh0yp96kk54QqQptu+y5eFlz3ZqIyuE64DYPThl/VoigxrJ8ZTICMvVoZfIMaG6HlEcxWE5SO+CqW9xjSF3OxbDu/FxchanmMwZE/2XGvzUGTYaVN5bB16rehj8r/PvzcXxWuyMXSpDzUnfPbrr0/DVdf0wLVXdcdvZ6ZiwfRuqPqDeaGyEUu8uGVaChZc3g2/nZmKuVd1x6y5PTHthnSMX+DChYub5hT0X5ft773PWZ1vGcs/7/48XYhTNV8KrhloO0qSs65Dx94AAB+HSURBVKIpWk+7yFSTyNLml9pLbOzZtytDMuM90EhAxnPIyrvxvHYjCrK5BLJ6yRVXhXkpRdjh6WX6pj/ypuNIRqTO9W+/JxW7fFl4y6d38TG6/NyXVoBLOlyJQZ56/2RftbNh9bSt2Fl5ib5e8kVh48Q/Ws5dmlG0DINjpkvzOJBOBdH356QTRpZaCgoAEgxQAJCQ4XQKAKtefitD1s5wtGvwjecZVyzuQVs/5XF8XNhf19jCreCtihrdvICV9c9hyeTN/t411TiQrRegTe/53P61A46nK/jGnWgaDRiZWC50AbJruO0MbTvDzU6EOTUUnGyTnVNmkIhCdYr2bReZqotIo43Dr01WEZHU5LQn/XQkNdpO/9HDHe1fcfH5OmFTHlsnjLKUt6o3Mmeeo1vITFvWrASdLPKOUVCJ5q5ot8ni64vKp0hEGPdRXU7svgenZU20Tbugl9aQb+r1N4f3bExvg397knQ9/MYwwi97cnBdtxJcUbgUS6c8a6qP7v7VX7D/nAJTffR65Visrt8qrMOmD1kmDFygHQU0vgOriEp237DoHdqdq6WgACDBAAUACRl+qREAWQNiZZDZNUpWveNaYySjfTV+fcIVyDgxeHX9VrxeOdbU6H7WNw/3Tn5EH11j8tMYWzzf39NWGz8Ti5OG4XWJS9DuzCx8I1hB+KeMs/GxZqLwrxNHYWBcT8xLLsK85CJMT6gVriJslxz1ogv+fqpizKoH0c6QM+4rum+jMaP9u5VwEt230T1Ke1xNwkz0uaas1USAd3QJJne90nYdgIJrBuoWODM+Q2mvMagqGytchKsiWhzO0olBJ8pf0Xs27huIUWl1nEgMW5UdWSeE1b2o20WT/vd6ewrXADmSEWmK7X91Yg0qo+swLeESjOs8ECMTy+FpP9xfDxnTo2NW4LucLoYRySg8e+Fvbf39ndafomcVuXk151xWx7QUFAAkGKAAICHD6QwDavWv0wZGZpwG2kANjpmO35SsxJKJ4ggbz1z0e/zki9Y1wIezErCpdolpTsCvR67XNbzeuKF4xdNbLAJ8mfjS3cUULhTpCv7j6oB3fF686TUf97o3G9efiAsuMoibY0w56QUUGVRWDb2VkWVloNm5hRh7oGX3JBMAVtc3Cgld/sRXNfXCC1YCDsTPXmjAS9x58u7PQ9Gccr/ffU3CTHhHlyB/uX4l4PzlBSisqdaNcsh6162eXxvOUv1XXXVXmxfaOSJOhKRTo1BmyNsdb1cWjcmqp9v4vKqxfnViDaYn1OrC/r7j8+JbV4Kp1/94uoKv3J2FE31HJpbr3k1G+2pcU7nBXPfUP4cXq69Ag6etru45mNfNNCdJ5O9vVec56QBwktdOy4Bsn5aCAoAEAxQAJGQ43VGA7Ax1WU+ek4giomTle5wW1yQEatNvxJDsK1HT7wZdo/rghHvxbX5PXUN83N0GO4ZMMg3Bjymer7vnIdFT8Ipg5WA1feDNwOGMKJMI+Dm9LT71pEijhfwlPR/euKGW+edUEARiiAVi1NsZHXaCwakxKHpuq8WZtOVHJlRE96IKAVe/cnhri1FyQxlyVjkTADnLe8F7cTH6jx5udsdZ2ws5a42Tb5vmLKg99bpnN06GPtHr70RkqX+bmTRbKACMolA0SmMXRcfKzcyu/MhGhUQjeXZlXjRCZPcNqPs1TewvxA6PYBTPl4n9nm44lh5h+m5/FPT6q+5CL3ty/CN4skm+q6Y/jw1TNuGD4jLT6ONHRSVYP0UcwWzJ5M0YW7xA6u9v9R0GWj8Euo/suJaCAoAEAxQAJGT4pV2AAulJtDIinLgbWBkCFdHilYPXTX0S75VW6BrkT/v11gmAlfXP4c7JT2Nc8QKMLZ6Pge5pyGhfDW/cUPyPq498QrAvE5+7uwpHA37IiMEH3gzhcW96s7C0ez//SsIi16fmNvoV0fVQlLaODAmtoSkytqz+b3dfao+z8RgrQaIas+p2Y4+v9hxOkuWIw4kJyO4Bg+DqV47h54xv+n/fcrj6lQvnIJTH1qG67wTdirnaVXS1k2+tkui5nOSzyD8/LW6YacK5E4EozRfDv1ZzNmTvUHQeUTkP9PuX3bd6rDduKLa68izn74h8/b9wd7EM77k4qemaGe2rceN5G4Wuhxsn/hGHcpN19Uyj+yz8o2oqVtX/zWT4jy2er1ubxO57En2zsn2cnMNuH6vUUlAAkGCAAoCEDL/UJGCrBkPUWNs1TM0ZIRAZCNq429ph+b+PmIUGz9n4MasD7rvsv2xD8N05pUkQnBszDbcnDcU/bSYGf++KNYmA4+mKsFdRTf/0ZeOGlCK/W1AgjXCggszYQ+vEoDBG9TGKBTuDUGa0yQSOOgJgNN5lx9uVN5GRqN1unHwaqCjV/s0oNozuWXb3buz1tvrmjMeqosmJG5bsHmRzbmTXtStnsrLnpEwYy59dHrjiqnBh4iC86JaP2Knpa3cn//f5fUYM3ve5hPtpI/yocf3nXnCPtL5YU/cMvu7t8hv/P2Qn4rHaO037rax/DosnPW7y9Tc+Z6B1qNN0KuFE1dRSUACQYIACgIQMv/RCYHbGiZVwEBkcp9KzlRZn3Uv3yLg1+GvtHbbGv843t+YRVMZeDm/cUCzr3g9vCSYIv+EVuxcczoi27FlU0yM9S3WrCDt9VplYEvXayoxbmSEv6/m1MxK1fxMZterfjBOG1d+i8Kl2ZUtk3MoMKplLit3+xryUbdc+t/E5rZ5FFCVJ/Vc9hyy8qtUkYNlzyd67neFv9x2LzhnItyw7h6isV0bX4YaUIrzmEfT6+zKF394enw8/ZkRZuumpEX4WJw3zx/b/zUiBv78hPTjhXhzzRuGT/v1wz+RHpftpQxBbfUNOyr3TdyS7lmw/q3fTUlAAkGCAAoCEDK0xB6C58aRFjZnVv04aqIroJlegywuXYclk8QRhc+/d03i/pBz/dek64d+X1W3BuBN+umpvoxrh54LEQRjfucxvOLzj8+Jbd0c0prex7P03pgfTepsiBlkZBnZ5LZtMKjOERdcxvldZVCLRfYqOcVI+tP7ssvcuMrSt7sHKoDIal7L8cTIyJRJZdsadzLiV3Z8xH7SjJk6/N1Eeic4re26rb9Qq3+yM3UAMVSt3nw+96fghIwZfujtLXfdk3+EfuzdF+FF7/Qe6p2Huheae/zV1TwvriocvXS90+dEGHBgcM91WMFm9J7vy5KQcyN6nk+NbCgoAEgxQAJCQ4XRGAbJqZJrTi+XU3ceq51G0TU2VsZdjyeTNppEAY3qrYhTgVtDgicC2YXXSGN1q42285rSES0yGxLs+j9DA+NjbAwdc8XjP55YaIWrEIFdclaUBZtfgB9KTa7WPthdbJvZEosFohDspN9qINsZkPI8xH4yuStrzyuY4qPerdeGRnUN0H7JrGf8vM7advBOZEa3+K4oC5ET82H1LondrPK+VCHNSXp2WX+3/XXFVeNHVV/jN/cfVwe/n35jexvI7U9MugbvPjMJlwtj+66c+jj0DhuKzfvnSekKU/jDlGYwpnu93/TkVV0e777c5YlD0N9n32lJQAJBggAKAtCpHjx7Ftddei5SUFERFRaGwsBBbt25t1rlaywVI1pg4MRCac147I1i9nnBOgCb95ZKlwjUDNk58wHb4Xn0+V1wVtnvyLRcQU3se1dVGG9Pb4Gt3J7zj81q4BpWYRIDIkNT+tvJbdyLKrIwOK8ElM+4qoutNxrXxvrXHGd1ZrEYQnNy39v/aUJhWIqI5Bpkob0U9905HBWR5JMoP0QiA+tsqdKbT+7AqO9qkFYrGsJzN+XbV35XRdRiZWI6rE2swMrEcN6T0N7n1fOXuLAnNm2ArAF7x5OO6lCK/8S+L7b+pdgm+y+nqryf+MazOkfF/fc0DjkJ82uX1qRj/zal7ZamloAAgwQAFAGlVxo4di4iICMyZMwfr1q1DSUkJIiIi8NJLLwV8rmCZA9BSjY6dcWl3nNWcgFXTn8dd07bg1SET0Og+y7RozwsjZumG81fWP4clEzcLV+oULTRkTJ95koVhQz93dzWtJqym61KKTNey8j93YjSIem+t8lS7XRSG0u4erFxYjNtE/uwyEWAnJox5ZXUuJ/nW3LJudS67sJtORJx2ErDV+1aTdvJzoEa/SPTZ3aNVubL6XRldh3kpRdhmCMfrX8nXl4l/e5Lwc3pb03fVJLAThQJ7uycLFyYOwvAOaZiWcAkqo09GbhJ1GKybuhn/V36BqaPgcHYC1k21djOce8G9wvrCaTkKtByeSnl12rHQUlAAkGCAAoC0Gjt27ICiKFiyZIl/25EjR+B2u1FSUhLw+U63C5DTBslJ76LT3qzm9Gpp/5bRvhpjiudj8SRxLO5V05tW7jyQl2pq5D/t18s0GlCbfqPpeq64KtyfZhEyNLMpWtBBV7zJWEG6gp/Sz8ZnhomJu3xZeMWTZzlB2Ko3uzkGnhNjQLSvU+PT7jraScCBhoYUPbfV/iLxIjunlU+81khqbix9q/dpJyCMosnJt2OVD07ek5P7kpUPrQCV5Ult/Ez8uWepzkVHO5L2qScFP6WfLfyWDrnaS6P77M7MwspuI5AWZx45ubjDbFMY4U21S0zhPeFWsK9/X2k0MdkCg1bvxm7kSSRsnXxnxuhqTr9/q/fbUlAAkGCAAoC0GnPnzkXbtm1x6NAh3fZFixZBURTs27cvoPOdjkrVbkKprGEL1Ih0YlAE0oAZ98toX40yVx2GZs8Wzg1YW7cZ/yy/0NTYH/NG4uXh07F6WpPP75DsK4X3UBldh+tTivC6IFKQNn10YpKiyHg5mtEO+z3ddEJgZGJ5s3qJrQxa2buRGXpW4TKNRp3V+7GaJDql82zpQmCy3n6rMme8rpPef7t8lhltTvLGyXtwkofGJJoDIHovTgSkk+87kPCoTr5Z0d9lI2p7vT39bnTGdDgjGh950yy/vS2uk4LaWNbKXCddetZPeRxvDxwhqAui8PcRs7DKYl7RHZM2Y0zxfFzcwbn7lZN0qscYRXUgZVL7b0tBAUCCAQoA0moMGTIE2dnZpu3PPfccFEXBE088EdD5TqcLkJ0B77SxsjPWZA2VExHhdHKd1dyAv9begUO5SabG/4uCTDw0fgPKXOLFntR7c8VVoTyup+0iYp94ukuNmSMZ7bDPk4rdmVkY13mgI6PJLk+1eaQVXDKj1e4aRsNRa6TbTV5OixP3eor82e0iFol6l42GurYn1GloTtG/Vsa5bAK07B2IntHu2xHdq1YAyISy3bejPcbOwLebkyK6plOhpn4/2zw5J119DAJAJJr3eVJtQ+5uceX5V+FW8017H5dmLsCq6c/jqVEL8EN2J+Fo4AMTN1q6/EwfssyRy4+srBqTk+/Iybt1WpacbG8pKABIMEABQFqN3NxcVFZWmrbv2rULiqJg7dq10mO//PJLvP3227q0adOmX2QOgF3oQieNVqCNj9UxgTaA2rkBorRuqng04E8XLvL37FkZye0iUlEZXYfbkqrwT5/FiIAvE596uuFohtmd4Qt3F+zOzMI1ncebDCptj7aTfAgk6oi6v1UPrtFYtOtdNroiyO5H5M4imrhrzHunIw+iZxA9j1PjyHg/MmFlN2+jItq8ZoBMaBmPbReRKg3R6uTercqBlZCR/TY+h/bZReLLeJ8jE8stDfnvT4yeidzmROk1Tx5uS6oyLbindTebmTQbtek3YtX05/FK1RR9r79P7fU3h/c0RglzavzLtp2KIe9U4J3KeSuiOQJAQgsKANJquFwuVFdXm7Z/+OGHUBQFS5culR570003QVEUYWKlak9DQyN2PPkh7rrifyyjBP0nvzvgVvD2oPPw2lMfBXydxsOH8dn1N+Cdc/pbCoHPPMn46cRCYj+nt8Uenw/vlA7A8WPHTsPTExKcHNqyxcaFLg3/9iTZGv7vDhyI71/e5vj7aWhoxN3XvIi7pj2Lb3plAG4FHxf2xx8nPWhp+K+b/XfsePJDNDQ0nuacCS0oAEgwQAFAWo0zYQQg1Pnpp5/xyK2vShv4NXXP4JWqKXhmyQun1MgfP3YMP2zfgf2//o2lEPi3Jxn/9iRjd2YWvr7rrhZ8UkKCnx+277CNqGWXPhg2HI2HDwd87Vc3f9QUFGDsKmy9YJ6lr/9f/7ATn+z+hoZ/M6EAIMEABQBpNc6EOQDhgDoasG723097D9/xY8fwybR6WyPmk7pp7P0nYcfxY8fwbukA7M6ynky/OzPLtM87/Qvx1cqVzf5uGhoa8cTKN21j+z+x8k0a/qcI2yoSDFAAkFZjzpw5wihAt9xyS9BEAQonGhoa8cnub/Dqkx9hx+YPsW/Xt6eloT9+7Bi+WrkKewrMK5ruKeh7SkYMIWc6X61e7ain/6uVq/DD9h04tGULfti+o0W+mV+yMyCcYVtFggEKANJqbN++3bQOwNGjR+HxeFBUVBTw+VipnlkcP3YM32/bhq9WrcZXq1YF5LNMSKhy/Ngx7KufLuzlV3/vq59+Wr+VhoZG7Nv1LXZs/hCvPvkR3X1aGLZVJBigACCtSm1tLSIiIjB37lysW7cOpaWliIiIwAsvvBDwuVipEkJCgePHjuHru+7CuwPK9JN7B5Th67vuolA+w2FbRYIBCgDSqhw5cgRz5sxBcnIyIiMj0b9/fzz77LPNOhcrVUJIKKFOnm9JNx/S+rCtIsEABQAJGVipEkIICXbYVpFggAKAhAysVAkhhAQ7bKtIMEABQEIGVqqEEEKCHbZVJBigACAhAytVQgghwQ7bKhIMUACQkIGVKiGEkGCHbRUJBigASMjASpUQQkiww7aKBAMUACRkYKVKCCEk2GFbRYIBCgASMrBSJYQQEuywrSLBAAUACRlYqRJCCAl22FaRYIACgIQMrFQJIYQEO2yrSDBAAUBCBlaqhBBCgh22VSQYoAAgIQMrVUIIIcEO2yoSDFAAkJCBlSohhJBgh20VCQYoAEjIwEqVEEJIsMO2igQDFAAkZGClSgghJNhhW0WCAQoAEjKwUiWEEBLssK0iwQAFAAkZdu7cCUVRsGnTJrz99ttMTExMTExBlzZt2gRFUbBz587WbjZJGEMBQEIGtVJlYmJiYmIK9rRp06bWbjZJGEMBQEKGAwcOYNOmTdi5c2eL9tJwRIF5x7wL/sR8Y96dKfm2c+dObNq0CQcOHGjtZpOEMRQAhEh4+236aTYX5l3zYd41D+Zb82HeNQ/mGzmToQAgRAIr9+bDvGs+zLvmwXxrPsy75sF8I2cyFACESGDl3nyYd82Hedc8mG/Nh3nXPJhv5EyGAoAQCazcmw/zrvkw75oH8635MO+aB/ONnMlQABAi4csvv8RNN92EL7/8srVv5YyDedd8mHfNg/nWfJh3zYP5Rs5kKAAIIYQQQggJIygACCGEEEIICSMoAAghhBBCCAkjKAAIIYQQQggJIygACCGEEEIICSMoAAgxcPToUVx77bVISUlBVFQUCgsLsXXr1ta+rVbjf//3f6EoijC98sorun23bduGAQMGIDo6GklJSZg1axa+//570zlDLY+///57/P73v8ewYcPQsWNHKIqC++67T7jv7t27MWzYMMTGxqJjx46YMGECvvrqK9N+jY2NuO2225Ceno7IyEjk5+fjoYceOqVzBiNO8+6yyy4TlsHMzEzTvuGQd6+++ipmzpyJnJwcxMTEoEePHqitrcW7775r2pdlTo/TvGOZI6EMBQAhBsaOHYuIiAjMmTMH69atQ0lJCSIiIvDSSy+19q21CqoAmD17NjZu3KhLX3/9tX+/N998E1FRUSgoKMCaNWtw4403IjIyEsOHDzedM9TyeO/evVAUBT179kRFRYXUiN2/fz86d+4Mt9uN5cuX45ZbbkHHjh3Ru3dv/PTTT7p9582bB0VRMG3aNKxfvx7nnXceFEXBww8/3OxzBiNO8+6yyy5DZGSkqQw+8cQTpn3DIe9Gjx6N5ORkzJo1Cxs2bMDChQuRlJSE2NhY/Otf//LvxzJnxmnescyRUIYCgBANO3bsgKIoWLJkiX/bkSNH4Ha7UVJS0op31nqoAuDRRx+13K+6uhopKSk4dOiQf9uGDRugKAq2bNni3xaKeXz06FF8/vnnAIDXXntNasTOmDED0dHR+OSTT/zb/va3v0FRFKxbt86/7dNPP8XZZ5+NmTNn+rcdP34cAwcORPfu3dHQ0BDwOYMVp3l32WWXITY21vZ84ZJ327ZtMxmM7733HiIjIzF+/Hj/NpY5M07zjmWOhDIUAIRomDt3Ltq2baszYgFg0aJFUBQF+/bta6U7az20AuC7777Dzz//bNrn0KFDiIiIwNy5c3Xbf/rpJ8TFxWHq1Kn+baGex1ZGbNeuXVFbW2va7vP5cO655/p/r169GoqiYNeuXbr9HnroISiKohspcXrOMwEnAqChocFUdrSEa96p9O3bF3379vX/ZplzjjHvWOZIKEMBQIiGIUOGIDs727T9ueeeg6IowqHfUEcVAHFxcVAUBW3btkVFRQVee+01/z4vv/wyFEXBI488Yjq+rKxM16iGeh7LjNhPP/0UiqLgtttuMx0zYcIEJCYm+n/X1dUhNjYWx48f1+33wQcfQFEUrFixIuBzngnYCYA2bdogJiYGiqKgY8eOuOKKK0xzTMI174CmXufU1FRUVVUBYJkLBGPeASxzJLShACBEQ25uLiorK03bd+3aBUVRsHbt2la4q9Zl27ZtGD16NO655x48/vjjuPXWW9GpUydERUXhjTfeAAA8+uijUBQFL774oun42tpaJCcn+3+Heh7LjFh1+wMPPGA6Zu7cuVAUBUePHgUAnHfeeXC5XKb9Dh8+DEVRMG/evIDPeSZgJQDmzZuH6667Do888ggefvhh/wTNAQMG6EalwjXvAGDjxo1QFAX33HMPAJa5QDDmHcAyR0IbCgBCNLhcLlRXV5u2f/jhh1AUBUuXLm2Fuwo+3n//fURHR2PYsGEAgAceeACKomDHjh2mfSdOnIgOHTr4f4d6HsuM2BdffFE6SvK73/0OiqLgwIEDAIDKykrhKEljYyMURcFVV10V8DnPBKwEgIhbbrnFNNEyXPNuz549iI+PR0lJid/nnGXOGaK8k8EyR0IFCgBCNIR673RLMnbsWLRr1w4NDQ0cAdDAEYDmE6gA+PHHH3HWWWfp5piEY959/vnncLlc6NGjBz777DP/dpY5e2R5J4NljoQKFACEaAh1//SWRG2wDh06xDkAGlpqDkBMTEzY+RQHKgAAoEuXLhg1apT/d7jl3cGDB9GnTx8kJiaaJqGyzFljlXdWhHuZI6EBBQAhGubMmSOMUKMO+57pEWpaktGjRyMqKgqNjY04ePCgZRSgKVOm+LeFeh5bGbFdunSRRgDRjoqsWrVKGFXkwQcfNI20OD3nmUCgAuC7775DmzZtUF9f798WTnl35MgRDBw4EDExMfjHP/4h3IdlToyTvBMR7mWOhA4UAIRo2L59OxRFH6P+6NGj8Hg8KCoqasU7az1EK1S+9dZbOPvss3HBBRf4tw0fPhwpKSn47rvv/NvuvvtuKIqCZ555xr8t1PPYyoi9/PLLER0drRM56sjHmjVr/Nv2798vjSuempqq81N2es4zAVneHTlyRFeuVNRRqMcee8y/LVzyrqGhARdccAEiIiLw1FNPSfdjmTPjJO9Y5kioQwFAiIHa2lp/b/a6detQWlqKiIgIvPDCC619a63C4MGDMWLECNx8881Yv349rr76asTExKBDhw7YvXu3f7+dO3ciMjJStxJwVFSULqyeSijm8cqVK7Fw4ULMmDEDiqKgpqYGCxcuxMKFC3Hw4EEAwL59+9CpUye43W6sWLECixYtQseOHZGfn2/y/VUNjfr6emzYsMG/suiDDz6o2y+QcwYrdnm3d+9eJCQkYMaMGVi+fDmWL1+OESNGQFEUDB8+HI2NjbrzhUPeXXXVVVAUBeeff75ppdqNGzf692OZM+Mk71jmSKhDAUCIgSNHjmDOnDlITk5GZGQk+vfvj2effba1b6vVWL58OQoLC5GYmIiIiAikpKRgwoQJeP/99037vvTSSygtLUVUVBS6dOmCmTNnCnvRQjGP09LSoCiKMO3du9e/39tvv42qqirExMQgISEB48ePxxdffGE6X2NjIxYtWoS0tDS0a9cOubm5+NOf/iS8ttNzBit2eXfgwAFMmDABHo8HMTExiIyMRG5uLhYtWoRjx46ZzhcOeVdeXi7NM0XRN+0sc3qc5B3LHAl1KAAIIYQQQggJIygACCGEEEIICSMoAAghhBBCCAkjKAAIIYQQQggJIygACCGEEEIICSMoAAghhBBCCAkjKAAIIYQQQggJIygACCGEEEIICSMoAAghhBBCCAkjKAAIIYQQQggJIygACCGEEEIICSMoAAghhBBCCAkjKAAIIYQQQggJIygACCGEEEIICSMoAAghhBBCCAkjKAAIIYQQQggJIygACCGEEEIICSMoAAghhBBCCAkjKAAIIYQQQggJIygACCGEEEIICSMoAAghhBBCCAkjKAAIIYQQQggJIygACCGEEEIICSMoAAghhBBCCAkjKAAIIYQQQggJIygACCGEEEIICSMoAAghhBBCCAkjKAAIIYQQQggJIygACCGEEEIICSMoAAghhBBCCAkjKAAIIYQQQggJIygACCGEEEIICSMoAAghhBBCCAkjKAAIIYQQQggJIygACCGEEEIICSMoAAghhBBCCAkjKAAIIYQQQggJIygACCGEEEIICSP+P31UmlSWFwN7AAAAAElFTkSuQmCC\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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": [
    "# Display all images with associated calibration:\n",
    "\n",
    "for sg in gonioref.single_geometries.values():\n",
    "    jupyter.display(sg=sg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cost function before refinement: 0.0016696847686478021\n",
      "[0.  1.  0.2 0.2 0.  0. ]\n",
      "     fun: 5.119380332305786e-07\n",
      "     jac: array([ 1.15391134e-06,  3.42232518e-07,  8.12187508e-08,  5.02958954e-08,\n",
      "       -7.17333108e-08, -1.11380416e-07])\n",
      " message: 'Optimization terminated successfully.'\n",
      "    nfev: 148\n",
      "     nit: 18\n",
      "    njev: 18\n",
      "  status: 0\n",
      " success: True\n",
      "       x: array([-0.00118793,  1.00190471,  0.21548514,  0.21309905,  0.00661241,\n",
      "        0.00280329])\n",
      "Cost function after refinement: 5.119380332305786e-07\n",
      "GonioParam(dist_offset=-0.0011879346168350165, dist_scale=1.0019047069128337, poni1=0.21548513632286356, poni2=0.21309905130025622, rot1=0.006612408563694155, rot2=0.0028032884877561815)\n",
      "maxdelta on: poni1 (2) 0.2 --> 0.21548513632286356\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([-0.00118793,  1.00190471,  0.21548514,  0.21309905,  0.00661241,\n",
       "        0.00280329])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Initial refinement of the translation table model\n",
    "\n",
    "gonioref.refine2()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "  \"content\": \"Goniometer calibration v2\",\n",
      "  \"detector\": \"Pilatus 6M\",\n",
      "  \"detector_config\": {},\n",
      "  \"wavelength\": 9.72386e-11,\n",
      "  \"param\": [\n",
      "    -0.0011879346168350165,\n",
      "    1.0019047069128337,\n",
      "    0.21548513632286356,\n",
      "    0.21309905130025622,\n",
      "    0.006612408563694155,\n",
      "    0.0028032884877561815\n",
      "  ],\n",
      "  \"param_names\": [\n",
      "    \"dist_offset\",\n",
      "    \"dist_scale\",\n",
      "    \"poni1\",\n",
      "    \"poni2\",\n",
      "    \"rot1\",\n",
      "    \"rot2\"\n",
      "  ],\n",
      "  \"pos_names\": [\n",
      "    \"pos\"\n",
      "  ],\n",
      "  \"trans_function\": {\n",
      "    \"content\": \"GeometryTransformation\",\n",
      "    \"param_names\": [\n",
      "      \"dist_offset\",\n",
      "      \"dist_scale\",\n",
      "      \"poni1\",\n",
      "      \"poni2\",\n",
      "      \"rot1\",\n",
      "      \"rot2\"\n",
      "    ],\n",
      "    \"pos_names\": [\n",
      "      \"pos\"\n",
      "    ],\n",
      "    \"dist_expr\": \"pos * dist_scale + dist_offset\",\n",
      "    \"poni1_expr\": \"poni1\",\n",
      "    \"poni2_expr\": \"poni2\",\n",
      "    \"rot1_expr\": \"rot1\",\n",
      "    \"rot2_expr\": \"rot2\",\n",
      "    \"rot3_expr\": \"0.0\",\n",
      "    \"constants\": {\n",
      "      \"pi\": 3.141592653589793\n",
      "    }\n",
      "  }\n",
      "}\n"
     ]
    }
   ],
   "source": [
    "# Save the result of the fitting to a file and display the content of the JSON file:\n",
    "\n",
    "gonioref.save(\"ID29.json\")\n",
    "with open(\"ID29.json\") as fd:\n",
    "    print(fd.read())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Translation table: \n",
      " Goniometer with param GonioParam(dist_offset=-0.0011879346168350165, dist_scale=1.0019047069128337, poni1=0.21548513632286356, poni2=0.21309905130025622, rot1=0.006612408563694155, rot2=0.0028032884877561815)    \n",
      " with Detector Pilatus 6M\t PixelSize= 1.720e-04, 1.720e-04 m\n"
     ]
    }
   ],
   "source": [
    "# Restore the translation table setting from the file\n",
    "\n",
    "transtable = Goniometer.sload(\"ID29.json\")\n",
    "print(\"Translation table: \\n\",transtable)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Distances:  [0.15, 0.2, 0.25, 0.3, 0.35, 0.4, 0.45]\n",
      "MultiGeometry integrator with 7 geometries on (0, 65) radial range (2th_deg) and (-180, 180) azimuthal range (deg)\n"
     ]
    }
   ],
   "source": [
    "# Create a multi-geometry object for all images in this set:\n",
    "\n",
    "distances = [get_distance(fabio.open(fn).header) for fn in image_files]\n",
    "print(\"Distances: \", distances)\n",
    "multigeo = transtable.get_mg(distances)\n",
    "multigeo.radial_range=(0, 65)\n",
    "print(multigeo)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Zoom on the two first rings')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Integrate the set of images in a single run:\n",
    "\n",
    "res = multigeo.integrate1d([fabio.open(fn).data for fn in image_files], 10000)\n",
    "\n",
    "# Display the result using matplotlib\n",
    "fig, ax = subplots()\n",
    "ax.plot(*res)\n",
    "ax.set_xlabel(res.unit.label)\n",
    "ax.set_ylabel(\"Intensity\")\n",
    "ax.set_xlim(17, 22)\n",
    "ax.set_title(\"Zoom on the two first rings\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Accoring to the provious image, peaks look double which indicates a bad modeling of the setup or a bad fitting.\n",
    "As the fitting ended successfully, the bug is likely in the model: let's allow the PONI to move with the distance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "GoniometerRefinement with 7 geometries labeled: ceria_150_1_0001, ceria_200_1_0001, ceria_250_1_0001, ceria_300_1_0001, ceria_350_1_0001, ceria_400_1_0001, ceria_450_1_0001.\n"
     ]
    }
   ],
   "source": [
    "# Let's refine poni1 and poni2 also as function of the distance:\n",
    "\n",
    "geotrans2 = GeometryTransformation(param_names = [\"dist_offset\", \"dist_scale\", \n",
    "                                                  \"poni1_offset\", \"poni1_scale\",\n",
    "                                                  \"poni2_offset\", \"poni2_scale\",\n",
    "                                                  \"rot1\",\"rot2\"],\n",
    "                         dist_expr=\"pos * dist_scale + dist_offset\", \n",
    "                         poni1_expr=\"pos * poni1_scale + poni1_offset\",\n",
    "                         poni2_expr=\"pos * poni2_scale + poni2_offset\", \n",
    "                         rot1_expr=\"rot1\", \n",
    "                         rot2_expr=\"rot2\", \n",
    "                         rot3_expr=\"0.0\")\n",
    "\n",
    "#initial guess from former parameter set\n",
    "param2 = (gonioref.nt_param(*gonioref.param))._asdict()\n",
    "param2[\"poni1_offset\"] = 0\n",
    "param2[\"poni2_offset\"] = 0\n",
    "param2[\"poni1_scale\"] = 1\n",
    "param2[\"poni2_scale\"] = 1\n",
    "\n",
    "gonioref2 = GoniometerRefinement(param2, \n",
    "                                 pos_function = get_distance,\n",
    "                                 trans_function=geotrans2,\n",
    "                                 detector=pilatus,\n",
    "                                 wavelength=wavelength)\n",
    "gonioref2.single_geometries = gonioref.single_geometries.copy()\n",
    "print(gonioref2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cost function before refinement: 0.0436448742038728\n",
      "[-0.00118793  1.00190471  0.          1.          0.          1.\n",
      "  0.00661241  0.00280329]\n",
      "     fun: 1.6219985734095963e-07\n",
      "     jac: array([ 5.32203334e-07,  8.74259651e-08,  1.65541284e-07,  1.80203088e-08,\n",
      "       -2.92971960e-07, -7.38352171e-08,  8.45052259e-08, -1.73616019e-08])\n",
      " message: 'Optimization terminated successfully.'\n",
      "    nfev: 344\n",
      "     nit: 34\n",
      "    njev: 34\n",
      "  status: 0\n",
      " success: True\n",
      "       x: array([-0.00118686,  1.00184287,  0.21574533, -0.00429667,  0.21300993,\n",
      "        0.00138094,  0.00735187,  0.00492121])\n",
      "Cost function after refinement: 1.6219985734095963e-07\n",
      "GonioParam(dist_offset=-0.0011868649101713345, dist_scale=1.001842873699192, poni1_offset=0.21574533063003315, poni1_scale=-0.004296673893756173, poni2_offset=0.21300993413734415, poni2_scale=0.0013809412057720382, rot1=0.007351867554329549, rot2=0.004921206646507187)\n",
      "maxdelta on: poni1_scale (3) 1 --> -0.004296673893756173\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([-0.00118686,  1.00184287,  0.21574533, -0.00429667,  0.21300993,\n",
       "        0.00138094,  0.00735187,  0.00492121])"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Refinement of the second model with all distances free\n",
    "\n",
    "gonioref2.refine2()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MultiGeometry integrator with 7 geometries on (0, 65) radial range (2th_deg) and (-180, 180) azimuthal range (deg)\n"
     ]
    },
    {
     "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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f8b53180e10>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Integration of all images with the second model\n",
    "\n",
    "multigeo2 = gonioref2.get_mg(distances)\n",
    "multigeo2.radial_range=(0, 65)\n",
    "print(multigeo2)\n",
    "res2 = multigeo2.integrate1d([fabio.open(fn).data for fn in image_files], 10000)\n",
    "\n",
    "# Display the result, zooming on the two first rings\n",
    "fig, ax = subplots()\n",
    "ax.plot(*res)\n",
    "ax.plot(*res, label=\"only distance free\")\n",
    "ax.plot(*res2, label=\"distance and PONI free\")\n",
    "ax.set_ylabel(\"Intensity\")\n",
    "ax.set_xlim(17, 22)\n",
    "ax.set_title(\"Zoom on the two first rings\")\n",
    "ax.set_xlabel(res2.unit.label)\n",
    "ax.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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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d/4KEs5feWbPm3gyHjwqwPFL13Hk62s4fuk65U0yymu5RTwbkAEgygTlLSO9c/8hRu04A78Jh+A9LtMs1Zt8BIuyv6PC9jnlQcFj5F3/EyPP/xs9Tn+HjicvoOsXF9Dk069hOHoWeg2p1rEvMe+HX0pdUN95WIBeZy5qOmcxNfrkK4TmX0Tc1z9g3uVrZAyeQx48KsDS3It4bWa2Wd700pQjWJD1LeVN/6O8lVvEswUZAKJMUF4y0gePCjD3yAX4yEQ/K4W/e5IK2meYBwWPcez3P7Hgh2uYc+lnJF/4Nzqd/MYqsWwpDfjyUqmJ5zsPC1Dv46+K5To8jp5Fty++Rfy5K0g4/28yBs8wDx4VIOLdk6p5k/+kw/jl5p3SPtVSp7yUW8SzCRkAokxQHjLSO/cfosWcXIvCX5qW5V4s7dMm/sedhwVY+eOvGPbVJbzx6ddwL0ahr5YWXfmlVK439Mz3JX5tXh9+iYCTFxD51WWs+PG/uPOQDG9pszT3oub8qfeqz3Dn/sPSPuVSozyUW8SzCxmAcsqpU6cQHx+Pl156Cfb29jAajejduze+++47s/XCw8MhCIIi+fv7K/ZZUFCAuXPnwsfHB5UrV0bDhg2xbds25vG/+eYbBAYGomrVqnBxccGgQYPw22+/Ffl6ynpGevPufdSZwC5E24xeg0bJW5m/vTYzm1oBSglR8Ef86xLqfvRl8YjevDOofzAXQZs3Inr5HMyYk4R1E/riUEI7TJyXwtymwSdfP/Wa8jsPCxThSmMWTcbhhLZYP6EvZs5ORMzy2QjetAEND2RDn3em2ExBnY/+ha6nLiDh3BXkXr9JrQRPkQePChRhP97jMtElaSnqprzPzKPqTDyE//vr79I+9VKhrJdbxLMNGYBySmhoKAwGA0aOHIn09HTMnDkTer0eVatWxddff21aLzw8HJUrV8bmzZvN0oEDBxT7HD9+PARBQFRUFNauXYvg4GAIgoDt27ebrXf16lXUqFEDfn5+WLp0KWbNmgUXFxe88soruH//fpGup6QyUqNDR7PU2i5asUwt8da3aj+6YHiN3c8sPOPixuFWmB0+HPQafFIPMNcx1o3gHlNc1tou2ux36d8hjgmKdVnricmmksH0f3Fb+f+13Af5cVjrs7YP1yUyz19tv/Ltxe2k+2Fdq5g8nQLRuPkM6CelwyM9G/rDp55I1Pod+QS1PvhMsXz4ynlAoMBMe0cFcvfX5I1paG0XjRDHBNN1sa4p0ZCI2JqJZvestV00wnWJzO3E5dL7HK5LRIN+7yjOYUtKT+653wmugm8G1sahhHZ4Z0oEkpZMQ4dt24rHFOSchveGPLw+eDVaOsWZXYf0WsT7I3321ryrvPeM9w5Z+h6l++Udm3VMtXNvbRcNm0oG7j5Z16GWFPuoG6HIf5qO2YA/wqrhm34+aDd6NTOP8ko5gAZtF8DoGKj5Oy/KOWrNF+TvhdGhY7GWKyJkAIjShAxAOeWzzz5TiO2LFy+icuXKGDhwoGlZeHg4qlatanF/P/30E2xsbBAfH29a9vjxY7Rq1Qqenp549OiRafmIESNgZ2eHH3/80bQsJycHgiBgzZo1Rbqe0jAAloTkkyTT/pyD4DVmn6LArJ26D+8O7QaECKY0J0pZ+HqPy4Tx5VgzwaBFWFt7jdLfpAZAS0Gudk/Vzkvtd3Ed0Qyw9i8XuTzBxBKIRgdR9M+Efuke6HNOF0mcGvLy0WxPBqJXvI0lU4chO64VrvY2AIECkhdNUqzfYds2roj+LPI17nE8Oo42XU9szUKDIwp9qYiX31eW+RPvg2iU5O9ViGMCXox7V3EOOSNacs+dlT6Jep15La/vzYRbbtHutz73DPT7P4X3/P0wRM2De/MR6OkykvsO8e6L1m9Yvr7cRFmbf1h637XsR/p9Fse+zZa/HGuW9/ilZuCLAfVMedRfoXYYETeeGxLk1fcdkwko6aS1UkG89pKADABRmpABIMxo3LgxGjdubPpbNACPHj3Cn3/+yd1uxYoVEAQB58+fN1u+bds2CIKATz75xLSsZs2a6N27t2IfdevWRfv27Yt03k/LABSlAClqwWSs0QNeyRmKQvLNMe8hf4C/mfhHiID1w7qrtgBYSjxBzGodULtWnsBgHaco99dSzZ3WffMKeun/5dfqoQuCftBbcN96rFBMWhm+0zjjMKJWzMXKSYNxPLIxbnWryhXAq9MGKsNbDn9s+r0gsAJ+Ca2B/IgGODgyALPfildtAWDd19ia/7SWsGrzpfdcXittdPintUR+L1ktANPmjMaBxA44HdEQ10JdURBYQdUArJ/QV2lkck7hXhcb3O5qh8+HN8KqtIGIXj4Hr+/NLHqLS/Zp+MzfD3fX4CK9T5YMLO99t3QcVmuAdH9aTAnr2DaVDBbPzZrzM9uHrAWgcfIWfNm/jiKvSh/WA36pyrzNe1wmasfuhNE5qMjftqX8RauZkz/LkoAMAFGakAEgTDx+/BgeHh7o1KmTaVl4eDgqVKgAe3t7CIIAFxcXxMXF4a+//jLbNjIyElWrVsXjx+bxtpcuXYIgCFi2bBmAwpYCQRAwd+5cxfEHDRoEnU5XpHMvDQNgjTDgFerMwso5CMaBq+CVepBZQKbFjDArTP8KtUN8XKqyNi31ILwSdqrWqGmp+bZWGKgZAJaolu9PWrPMElc8kap2fbxjWqr1bOUQC7dWcfBL2wH9/uNPFNZzPLKxVTXgR2OaMfcT9u4qNN2TAWP2SU2mw/P9z+DpFKh4pvLWEFbrCCsMSnxGYjiR9H6Jf3vogqDPzVe9X545p/Dm+/vRe/0qjF2UhpWTBuNIfBt8178WHgRVwrgFExTbtNuxg3u/fg2pjsyRAZjy9hgEbt0C99wvrDZo+oxPoY9ZgNeaTjfdM2lImVYjLL9nWkJ1rDUEaueh9q+WFjot1yl//kaHjmhVNQZeo/eax/in7MOGoV0VJuDEgPpokryZ3Rowdj+a6eItXrvavbOUf6ntk7WsJCADQJQmZAAIE5s3b4YgCFi/fr1p2fjx4zFu3Djs3LkT27dvN3UKbtGiBR4+/Gf0huDgYPj6+ir2eefOHQiCgPHjxwMAvvjiCwiCgE2bNinWTUlJgSAIuHfvnup5/vrrrzh37pxZysjIKHED8KQ1+1rEQk9dIrxHsjvLmVLqQewf0hoIEfBtPy9uXK33uEwY20xkCj1rClK5iLEkEiy1AFi6l7zfLPUh0CKEeMeQijFPp0A0avkWPNNzrKrlN+TlI2D7DoxdlMb8fXtyd1XB/+8+Hjic0BYLp0chasVcNNuTUWSzIU3uw+aYnp8l8yQVumr3TtqXQGoKpOsZFu8q8jl75JyCd9bniuWJS6drNlB/dbNHXmxzvLbvUNHOIycf7tuOQT/kLbR0itNc+84zTbz7qPYes56L1u+V9bdoALSYey35HfPaAiYz86L4uFTcDq1iZgJ+6a1Dj6SF7HCg1IMwDlqNltVi1Y+n8j5rzQ8s3VNqASDKImQACADAhQsX4OjoiGbNmpnF67OYNWuWonNvQEAA6tWrp1i3oKAAgiAgKSkJAPDxxx9DEATs3LlTse7kyZMhCAJu3LihevypU6cyRyYqKQOgJpiLKnKZvzsHwZi0R9PweS+m7MGK4WGol7LbYjytlvNQE/VaRAfLALAKXTVhYk2NnBahwhJXvGN7OgXCrWUc9Et3Q5+Tr1kkNjiQg8Sl07F3VCCu93Q2ic8mDNE5ZtFk0+9X+npiX1InTH17NHq9l446hz8uFrEvT75zM0w12dLrZsWiS0VmUTrBypd56IKg31u811Xrg8/QY+M6TJ6bjD2jg3C5n1HVBDwIqsTsTO2Zc8q6Y+edgT49Ey108QqTpCbii2K0rbnPWmq45cvFTsDW7tfSuqbljoHwSmTnS+1HrcSlvp5mJuBeaCWMjU3i53ejM2DUBTO/ba35hbiNtfdXepySgAwAUZqQASDwyy+/wNfXF0ajET///LPF9e/evYsXXngBw4cPNy0rDy0AWpOaOBX/VgisGj3glaIcxef15I1oM3qNJlMgbSEwtpukGFHjSWvPtF63PMTAUk2ppftWlFpPS0ZDTC108fCav19zJ15DXj46b9mMhdOj8OWQelzhmbRkmmLbl/dnYdDaJXgpM69ExL5ZyjyJl4atMYl/nhnS0hFaKpyk60g7WPOeSUunuMKWAGv7S1iRXjz0IQakL8OiaZH4NKoJ7gRXMT2HE8NeZW6TFdca5wbVwZKpw9Bl83vaOxXnnYF+aw70g/9pFeC9i7yWAPl6lt5nLaMLyf/mdd4Wv8+i1P5rrT0PcUwoHLlMFgokpvpjd+GDwU2ZfZh8U9mjnXmPyTD1C+AlQaioOY8qSioJyAAQpQkZgHLOzZs38eqrr0Kn0yk68Krh6uqKXr16mf6OjIyEvb099QEoQuHTzXU0M96/a9Ji/NJbh8t93dFw7A5N4t9rzD4Yq3fTXCtW1MJRLgakIoUVY6xWS88SnqyaaF7NtSXRJO9T0MohFvq2CfDY86mmmH633NPou24F3hsXil9Ca1gMPfm7iy3empVQ8iI/7wz0GcehX7YbPvP3Q5+WjnrD1sK9+Qh4OgVaFKBSkSiG9MhHTRLX0xKqEuKYYNapWLrv7jUS4TZwBvym7YbPvAzoJ62DfvI66Pd8VKxzAOiPFtbuB2/agFmzEpCwbIbid6/sE2YmAYECfuulw5aUnhiYvkxb34qjZwtNzZ5jeLX1W2ZGS24yWfdb/u5bahGQ70f8Wx52xdpWvpxnAHjPlWcyLC53DoJxwEp4M/I2n9QDWBA5EAUhFUwG4H5IJQSNWsbP35L3w1i9W4nkwfI8g/W+lwRkAIjShAxAOebvv/9Gq1atYG9vj+PHj2ve7tatW6hQoQKio/+Ji1y+fDlzFKCtW7dCEAR8/PHHpmWurq7cUYACAgKKcCVPxwBY05yvWWzX6MEU/7Fx43E3tLKpcPxoUCN+7ZgY7x+7tcijZ2ipfed1ZGQJDC37V1um9f7xWhhYtaMtneJQa9I2q4fsNOTlWxT+Xw+ui3emRCDs3VXM2PUnEfmGAyegX7YHtRfuh37+dhimbYDbwBnw0AVxa3pZgozXh0OttUTLcxRNA6s1gWcmpOfooQuC28AZ0E9/D8ZVR6BfvBsemz+E/oiVYToaU5/1K1Wf5a1uVbFndBCGrFkEr+wT2vabkw/PtdkwtImHp1Og2X1g9buQGyStz4G3Pqumn/cNqXUCfpJvVW4oTfus0QPeyey8a3j8ZPwVageECBgbm2i5giP1IOq1V84XYKklqyiVG/K/SwIyAERpQgagnPLo0SN0794dlSpVwqFDh5jr/P3337h165ZiuRiqs3fvXtOyq1evcucB8PDwMOtXEBsbCzs7O/znP/8xLcvNzYUgCFi1alWRrqc0hwHVIlgVyTEQ9dsvVIr/1IOYGzVE0Tx+eHBz+Kfw+wfU6/eu5nh/eUdGawpBnuiW/s0KAVK7R7z9yEWj9G+t97uwQ+/Mwsm5ctVj+91yT6PT1i3M394d30fRwfTgyACMWjK1cCbb4hCnWV9Av+J96GdtxuujNsGt/3R46IK490b8W8toSOI9lE7yJa2x5u2TtX9W7bOakLX0bMX/y/fn6RSIJm9Mg3vgGBgGz4R+8S7oD2usnVdJ/oeOIWHZDGQkdcKf3RxUzcCf3RywI7kbXtmfpf0YOfnQz98Bd9dgpliW3nc1Myb9znjhclqG8ZTfc7VOwEVJrHOT5zE9dYnwitnCzLs6jFrBncOEl/xidph1DmZds5ZKAV5+x/q9JCADQJQmZADKKUlJSRAEAd26dVPM8rt582YAwJUrV+Ds7IwRI0Zg6dKlWLp0Kbp06QJBENC5c2cUFBSY7VM0BtHR0UhPTzfNBLx161az9f7zn/+gevXq8PPzw7JlyzB79my4uLigYcOGFuP/eZRURlrUQlJN9LZwGoFaicqRfvxSM7AjoqNC/C8b3pc7y69XygFTvL9abb3aOQvEODQAACAASURBVFpaR2tByjIA1hS08v1augZWpz7x/91rJEKflg59tuXa/la79uCdKRH4ObQmtwNvyIY1+CW0Bt4bF4a+61ZoDxPhisTT0K/LhD4tHW6Rc2HXJNCs5lgt7lt63eJwnNJhOeVDeGq9z6x1xZAe1v7U3hl5jawl08gaUpT1rD2dAuHRNAaN2s+BoU08dKt3WTR2askj5xRC312NdRP64qcwPTekq/aRInRmzjsD/eZsuBm6Ke4BK/yHZwrURt+S3y/es5SGdqm10MmfU3HME2BazzEQdQdssErov568kd8akLhbU4vnkwh/aSoJyAAQpQkZgHJKmzZtuCPpCELha3Hjxg0MGjQItWvXhr29PSpXroz69etj9uzZePDggWKfBQUFmD17Nry9vWFra4v69etjy5YtzOOfO3cOnTp1gr29PZydnTFw4ED897//LfL1PA99AIwOHWHUBcN7rLI5vP7YXfhoUCPF6BhJI5L5BWDKATR3idNcsGktuHkFJ09syAt7VoyxWi2/mpnQIlKkgspDFwRDWrrFkXxqH/kYKQsn4kxEfYXgY8XvG/LyYcgrutDU5+ZDn54JQ/Q8vNZ0Onq6jDS7RmmtLEuc80btkd8rsRZdHrcvv1/yY0jFpzxkhSVK5bMAqz1n3vF5Ip91fbz92FQyoKVTHOr3Xw7fqbsKa963fFi0mZnzzqDzls1YPjkcP/ZxN70PB0e2Z67fe/0q+B86pmm/bmuzTSMIaf0eeUJc7fmr7VtqACydh1ajxzpf1W0dA+HV9x1N4r970kLcCa2MuVFDmP0IvMdlolbMjmKbOZh1P6X/LwnIABClCRkAokzwtPsAaK0lM9vWOQjeY5SzX76R/B6+6edjJv5/D3NEaOJcix3itAgK1jqsGVytGWdf7Tq1zANgjajgjV0vFf7dayTCd9IOdeGfdwbBmzZgR3I3RSdQafos8rUnq93POwP94RNwT89C7Yk74NYyDp5OgWa16fIkFWVahLL4rybRpfL8eGZMfq/VOmvLn5OaYZCeL6uVQH5s3rVL3zXpeyAu93QKRI8Ob0O/dI9Vw7qam4FNWJ02EP3WLVf87nfkE9zpWgV/d7HFntFB6PleuuXOzLln8OLUHWZhXWoiVHo/eGKf1wqm9t3K3zVL74/avuXL5J2Smft1DCycK4Aj6r3HZaLFmPX4rbezKT/cGtGZ2wfKOGKrYoQgLd+DtflRSUAGgChNyAAQZYKSNABaxRVPQLe2iy4cFm/MPkXhFTB6FX7q42om/n/o66Y69Ke0wFOrBeQV7EWqudOwvVSUqZ2TpX1ova9Gh/+NNT9lneowk7U++AwpCyfi3KA6XNF/N7gy9o4KxID0ZfCwdox4UfS//xFaDF2D7jUSFdfKuw6pKJMLepZJE/cjD/eRH0er2OedE2t73n55I9GI62uJX5e/Q7z/y7dTe9fE1MohFu7NR8AQNQ/6+TvgtvXYE4UN6Y+az+kgpu8G1MLE+amWw4Vy86FfvBtureJMYV9awt3krTRqz1jtfqiNAqTWIVktr1HLG+T7NiVdMLzitzPzuKHxU3AvtJJZvpg9+A1uPyivkbtU+wRozYfUUklABoAoTcgAEGWCkuwDIC/ErK5dqt4NXoywn8bJW/BHWDWzQi5/gD8aJW/lh/3EbGE2eVsjtnm/qYlzLUJD/Jslylj7FAUBa+hJ1nHE9Vs5xKJRy5nwTM/WNITkxtRQrvA/HdEQYxelFW0irpzT0G/LhX7IW6YReXix7/J3RyroQhwTFK0mavHgvGem9txYYl+tZld+rlpriVnDYFqqQWbdL0vGT/yX13LC20bcZ0unONSbsqNooUJHlZ3Cpel2Vzu8O74PWuzea3lfR76AIWoeWjnEmolk+TWwOmVrMdGse8J617TmJ3LjaW0eI0+tqsbAOIKd34Ulvo0bYQ5m+ePpAS/i5bFs02CM3VK4Pw3fg9o7zFuvJCADQJQmZACIMkFp9wHgFoC6YOYEX2JaHNlfUsP1pupIPz6J78PoHGSxNk6rWLN2O61JrQ8A69zlNbu8UYo8nQLROGadpo690tRx21YzgXajezWkT+yHNjt3WV/Ln/Ep9DEL8FrT6WjlEGtRqPKuS/6v2tCMLGHMGxlJ+i9PuLNqkXnXwToH6b7lz0+6H16/Avn20rkDWttFq04wJr8X0r4TvI7Eat+LOEqU97psq0OFWuzei5WTBpvNAC1PebHN0Xv9KstGNeMTGFrHm94p6f2Tvztip2+t+ZL8mqXfJ89Q8t5nNWPA+1sQKqofwzkI3qOVoZFiC+lVWQvpd/288Ebye8z1a/ddj1ZVYyyKf5Y5tXStJQEZAKI0IQNAlAlK2wAwky6YWfNvllIPYktEZ2yNCFQd598nZodZnKuWQltLga5FQGg5plYxq+Xc5aKxp8tIBLWbA/1ufodLt9zTiFoxF4PXLGb+/sXQhjgb/hKSlkyDT9Zx7UIvNx/6rTloEr4GHrogzecuF50sUaFWK6tmlNTEjVzcJxoSFfuTGxL58Jvy85Y+C9b1iUkqTHn7Ubsm6f7kJoB1jeK7JhoItdGM1N5XMXk6BaJN2znQr80sHJJV4zvilX0CI96ZhZPDXuEagS0pPbXt74NT0Kelo6VTnKbvR/78eNcn/Y3V4ZyXH1gTIqZ2v3nP0fSvLhheibuYed/ryRsVfaSu9qnJDZM0DlxlaglQy9e05GfSVBKQASBKEzIARJngWRkG1LQ+Z4Iv5kgWqfu5HeK8Ug/C2GGqYuIbLQWWNQWg1sQLP2AJDJYYs+aYnk6BcIucC/2Bz7iCyZh9EsmLJuGHvkYgUMDF/j7M0XqsHsYxJx/6SevMhJi81lRN1EuXsUSUXHRbmjxNvi+5IGeFiLDOQ3p+vL/VxLK8xlgU6pbEutr9kRsTS++Z3DjJj6E2cpKWZ2N0+KffQK3pu6xqcWq/fTu2J3fH311szQzAoLVLrHv/cvPhl8buMMy7v2oGS/6uqYlfteem9hzV8gVLRqO1XTSMjoGo12EBMy9sOHYHTgyob2YCfuvtjM6cmYO9YjabWkutOQ+1VBKQASBKEzIARJngWWkBaG0XzRX/E2Lj8eYYdtM1sxBLzuCO9GNJTKmJG0vb8QpNtdFZpMvURgFSK3iltZItdPFw3/UJVyD5ZB3HpLljcS3UVVHbymsFsBjec/A49JPWoW3r2WahGFqFvqVnIBXr8jAYsROwJaGnJsbl5+Tj1AGBzVtg0rD2WJ7WEqvmNcL6dH+sX+uP1fMbY9W8V/HO4hexdpU/3k2vi01r6mPjyoZYPaMp0lIaYkFaM6xd1AgbVzbE9vSGWJ/ujyULXsTqeY0xZ3p9pKU0xIzJDbB+bV3s3PQidmyqh/XpdbF11ct4Z8mLWDTvJUweFoBOzVvAx6kDjA7/GAbpiEit7aIVhoh3/dJ7KopZqQmR32Otz0p+f6X79HQKhFvLONSbshOGzJOa+p3UP5iHuTNj8VsvHb7rX4tpSl/bdwi1PuCb20IjehpNR6yHp1Mg0yCJ52rpG2eZJnkokZqxUMsneCaT9W3z8iazbap3g1eyMiSobsr7yB78hpkJuBlWFT2SFqqGTEqPo6VFg3f+JQEZAKI0IQNAlAlK0gCoFlbyxIr5Tz2IRZEDgBABl/p6onEye0ZMM/EfvQlG5yBmnDf32IyCVotg5RWCrFFo1P6WGwAttWzy822hi4fX/AzuKC0+Wccx5e0x+K2Xjhlq8e8+HhiyZpF1wn/LP5M1ScW1JSHFEqXya5N3ipULWKmQ5f0m3U7cX4RrAoY0DUXC8NfwzsSWWJ7WAvMnNsX6+a9j9cw3sXtjA2Rl+SI379lIWVm+eH9HXaxY6o+1K1/E6hnNkDa2IaZPaoili17CtAkN0bllc7R1iFQ8AzWRKX3XQhwLZzq2JDrly3gdnqVmQno+LZ3iUG/IqsJwHQ3hQc1372P+diz6TVzv6Yy3ZiXA98inqvtx3/UJWujime+YvBVGfv3y5bwQPZbol29r6buQH89SXsH9v3MQvBJ3K/JFv9QMvB/ezmQAHoRUxLD4yfx8VDJZGCsPVTMl8lQSkAEgShMyAESZ4Gm1APBqxkyFlnyoz9SDWDE8zKzW6mz/utyZfb1TDsDYformkX4s/aYmDLQIc961qu1XKmYtGQ9xubtrMNzX8kf1MWafxMT5qfhvSA2m8D83qA5ils+Ge67G2O2c04WTRrkGm52HfHQeS2JU/n9WrLyl+y69Z9LtwnWJ6FMjFtMHd0b6okbYs+kl7Nz0IvbtqvNMiftiNQrZhUbhvXfrYuPKlzEy6lUENm9hMgbyey4PN5MaALURdaTPimXwpdtI+yNI1/V0CoQ+ah70H2jvLyCmLpvfM3t/r/d0xrQ5o9X7p+Sdge+kHcywNDURLv9dbgAsbadl/5a2UzsfbnIOgjdjxnSf1APYNLQLHoW8gPi4VMuVKWP2wagLVj0PLflhSUAGgChNyAAQZYKnGQLEKnRbOI1giv81w3qZif+7oZUxOGE6P+RHpxSklgoma0S71sLXGtMgH8ZTGs5iqfD3dArEm/Hvqo7LHrN8Nq72NjCF/5mI+oXx1RrCMvRHz8Jt5ydo1HKmadhFtXssF/68xOv4yqotlc+gK25TpbIBQS2bY+rEhli28CWsmNwcWzf7ISe39EX5s5CysnyxdXMdLJzQDAnDG2Nki77wcepgMgCskYPkNfmWzChP5IrPUv48xWOKw9Iat3+s+T18Z0oE833+JbQGUhZOVJ+LIicfhpj58HQKVL0WeZiQ1ADwWve0Cna1e8m7T5a+I9bxW1aLZbYEeKceRLekRdrDKcdmoIXTCE3H5F1fSUAGgChNyAAQZYJS7QPAGuc/9SDWDethJv5vh1ZBn5Fz2AVUygGT+OeJcGtG5FDblmcMrK3VYxX2osDQUuC7uwZDv+tDi2Jp9lvxCqGUH9EA/dPf0S78D52C2/C5ZhMvWRKF0mvUIrTUxJD0bx+nDohoHoIFE5phfXpd7NtdF1nZtUpEOOdl1cKXq/Q4v7AGLr6lw5U0Z1wd64hfEhzwW7Q9fo+ogpuDKuNWP1vcDrPB3V6VcHa1XrGf/HVuuNurEm6H2eBWX1vcHFQZv0dUwW/R9vglwQFXk6vhSpozLs7U4fyCGvhylR5HP/Ap8daCufO8UMc1wCqxKn3uvNAt1nthSSy3touGm6Eb9Fs0zE+RdwYhG9bg8+GNmEbgcj8jIlfOU9/Pvk/Q3NU8ZIk3EpKl75PX2iXdXss3rbViQUtrg+k8nIPgk7hXs9jnThaWuFvT6EC86ygJyAAQpQkZAKJMUNKjAPFqxJu7xCk7/KYeRLpM/N8Ks0NI4jx2oZV6EMYaPSwWRlpqMNWSltpstYKR1/Qv3690VlvptuJ6nk6BqDtinWbxXuuD4/g1pDoQKOCrwf4YtHaptm3zzkC/LReNWr1lVlsqr5Hk3U/eWPdqISPSDr7iemEucQhs3gILYzti89r6yM55cvH74WEfnNziga+W18TFmTpcHeuIb+bXUKx39IgP0E6wKn29tKZiP1+u1Fu9n48OeCv2c26RK64mV8P3M3X46p2aOLnFAx8eejKjkJPri927fbF4fj3MmtoQ0wYGIcBpmOJ9ZZlgtTAvrcaB9W24uwbDZ/5+y3ML5J1B7/WrkB/RgDtRXddNG9Tf8fRMuLsGK947VuuH+H3yRDur9YT3rrNqzXnL1L41SxUPre2iuX0C5Klb0iL81tsZQzitrMaAyYpv21I+QAaAKKuQASDKBE9rGFBp4dejehKzw+/qYSFm4v/PMHv0TFzALbSM7SdbLAB5hWhRzQBvOy01eLzzE5erCYzetZKhP3SCKWZe2Z+F8NXsDrzRK95G9Iq3maOpKFJuPrzm70NXfRJTrFjTssITOLwaTFFI9qkRi9QBHfHeu/7Izi66uD2W6Y3T693w7dvVcXWsI/6IqIJ73SoyBfevsfbMfTzsVMEq4X5usatiH/9aXtOqfTwOEJCbo2zVuDbSgbn+/a4V8Ud4FVxNroZv51RH/jo3fHRQaSCsMQXv76mNmeGBCHAaZhLG4rwIYgrXJXL7AvDeCbnQlr5T4v7Evz10QagzYQf0WRY6DOedwZA1i3BhoB/TCEycl2Jx+zqLDqKFLl7REiB/h3kGXTx/awW6Wt7Ayyfk36KlMCGTCYjerCr+/wyrCoQIuBdqg4EJM5mVLQ3bLuTOGKx2rSUBGQCiNCEDQJQJSjIEiFnj5RjIrJFaNryvouZfTfx79Vuu6PBrsSBkFKi8mUEtiXVLx7G0nqUQIPHfFrp4GNflMGvuvbJPYPZb8bjTtQruBFfBqxkfaGoZYMVG6yetQ/caymEhLYl31mg9ai0DvHvqb2iHPZvqF0vs/rVEtljmpT/72zL3c7dXJTzqWAF/d6+IW31t8ccQMXSnKn4aUw0/jnPElTRnXJ7qgu9nuODz7Z6KfRzf6YnvZ7jg8lQXXElzxo/jHPHTmGqmUKI/wqvgVl9b/N29Ih51rID7XSsyz+WPIVWsuqZfR1R94vuYk+uLwwfqYPSIV0xDkqq1Boj/qs1xoKUDsbzDsKF1PAz71Cehc8s9jaQl0/BzaE2T+P+7iy1e23dI2zeQdwb6JbsVk9ZJk9qkc1rFPCsvUrsvWvISTes6BqJB2/nM2dVnREea5b1/h9qi38jZ7Hz3f/MEWHMuJQEZAKI0IQNAlAmeRh8As0Kp/VRFoTIvarBZAfRXqB16Jc5nF0CpB2HsMB1GR3ZHPks19E9Sg89bztu3NbVkYg2j+Hcrh1gYYuZzQ3YGrV2CK309zWo7d40Jtk74HzyORm3eMsX3W7oPWmr8paaKJ4ak+/HTtcc7i/01C/+8nFo4ucUD386pjl/iqzLj5X+Y7KxJJN/rVhE3B1XG1eRqzGMdzSrZWHxrjvnjOEfcGFyZ24ohTz+Oc2Teu18SquK72Tqc2uSOPCv7TxzM9MXsyE4KI8D7vqSjBolj58vfeVafEmlNvLislUMsDJFzoT9yUvWd9s76HLNmJeCvbvZYPG241WbYsPczkwmQv7tqw/RqnTvEUouapZYya/MtRdIFw2u0sl/A3Kghin5X3DxYNkSoWp5HBoAoi5ABIMoET3MY0JbVYpWzVcpG/LkTWhlhiW/zw346TLOqULT0f62/P2ktnBbjIQqMVg6xMMzbzhQor+/NRFZca2a4w64xwXDL1TD7atZpNI9VTpLEEh6ssd6l4k1cjyXuLAm7AKdhOLC3rrrwzKmFU5vc8f1MHa4Pt8PDQPOwnNMb3BTbSMNuHnWqgD8H2OJaogO+n+6Cfy2vic+3e+Lokacv7ovNJHzgg8+3e+JfK/T4foYOPyc54ObAymYhS+cWKcORTm7xMLt3DztVwPVhdvh+ugtObXRHHiP0iJXWzXsDbR0iVc2tNERI/vwtmWLWkLJmRqBNPPT7+JPd6Y+eRf2Ducw5AozZJ7ElpSea7cngbuuz8AD3+9SaH2g1wbxKAvl3IybpcK1a8xvF76w5V8ZlmuZc+ScEsyq6JC1hm4DoTWYtsGr3oyQgA0CUJmQAiDLB0+oD0KpqDIx93+F25l0UOQD3Qm3Qb+QsfthPf2XYj1oh+ySJF8Jgbc0cr1WAJbJtKhng6RSIOuO3KUSJR84pzJw9EneCqyiE/9nwlxC0eaO2MIe0dWjpFKc4Py0jmPDW5d2zEMcEtHWIRGDzFpg1PBDxw17DkKahphrkZYteYgrMT9834sK8Gvh1hD0eBL2gWtN98S2dYvuPDnjjXyv0+Gy3Ebm5JTNK0DOZcmvh0z1GfLlSj48zvBS/X5hbXfVePuxcAb/F2OPC3Or4dI9R9VhxQ5vAx6kDRrboi9nDA5E2tD0C/xcmpFaDzftN/j2wYu2lhqCVQ2zhXAKWOgvLkjgy1r0uNpg/IwZe2Yx+Nbn5METPw2tNp6Ony0imAdAifFl5AStfUBtalLe92uhkWiY+NAYwJgFjzL1yvbcjAkavYlfGtE1jmn4yAERZhwwAUSYocQPgGAhju0nwHr2PK+zF1GLMOn7YT7tJqpN8tbZTxvNrqXXnrWeplpIn8uUFtFoLg/Tvlk5xcBo3F/pDyhCHoM0b8c3A2grhf72nM0Yvnqytg+/B43AzdNMsXFhiRX5trImhwnWJCHOJw7CWPbE+vS6yGB15D2b6YWTUq8jO8TUL/cnLroVbfW01hbg86lABN4ZUYXa8pcROX71TE3+EV8Gjjto6N98Os2GGWOXk+uJQph8yM/0Uv2V94If0RY0R3jwEYS5xqkZa+q7xOrNaWuahC4J+sraRsZrsO6Qw0N/390bP99L52x0+hXqR6fB0ClT0AdB6jnLBbm1eZOm75OVLrGOL32yrqjHwYlXIpB7Eu0O7mZmAa32qo/mYd5X5ctIeU56sNqRvSUAGgChNyAAQZYKSNABqhYwlM2AqZMbuh7F6tyIXlmr/tzSWuZaC3lJhzjuGGCLRyiEW+uj5zJpMY/ZJrJk4AAWBFRTif1NqCF48ZHkuAH3WF3jxfwKGd82ssALe9bE6/YqpT41YrJjSQttwnZya+T/C2Z1dH3WqgOvD7fD9DBd88Z478rKeTs1+VrYvtmzyxfp0f2xe2xCr5zfGxvmvYeOSxli7yh/b1jXEtjUNsXFlQ8yZUR9pKQ2xfFJzrF3UCBtXNsT29IZYn+6P1fMbYf28Jkif2QxLUlphxuQG2J7eEDs3vYgdm+phc3oDbF/zMt7f6l8sw52qpbzsWji1sTCs6v8ilWFVps7RA9ido7W2qhw67IvVaa0w1BBn9s7IxaK0fwBr/gep0RS3kZr91nbRcHcNhqfKjNj6o2dR+8jHWDuxPx51fkHxPW1MDUXtIx/zv6OdH8KmWi0IQkXV70NqZNRG6JF/Q2p5hZb8SG1bXj7YqmpMYUuALBzIJ/UAdkZ0MDMBl/p6oFHyVkX+7Dd0C4zOQWbXITciJQEZAKI0IQNAlAlKKiO1qWSAS6soRYHRJWkJTgxsgNeS+cPS/VPzfwA2DrVgU8lQNpO9F6pvOsjvkJiXjxPDXjUTKt8MrI0um9+zKPxr7DsGu6ZdYVPZo8Svo0plA4YP90S2hRjyvOxaOLvagGuJDrjbqxKzE+rFmbrC4TDbCbg5sDJ+mOyM0++6Wd1hVUs68kEtrF7jjQkTjJjzthemTDVi5kwvTJliREqKEW++4Y4qlZ/+e1GlsgFvvuGOcalGLFzoheUrvLF4sReWL/fGtGmFfx8pxsnC8rJr4Yv33HF5qgtuDK6MxwGFBuDyFGem+L8dZoNfEqriy5V6TUYsK7vwPjdr+hTup3Nt1Hj/qOq30WHbNnwZXk9hAn4OrYkB6cu429XMzUe14alP5Zt6qqmKETW6TDSbl8U3dT8OD25uZgLO9q8D39T9inzaOHoPbOy9ufsvCcgAEKUJGQCiTFBiBsDWA8bR5jNLthqdjt96OwMhAq70dUNLTsiPGPZj4+hX+oVjCQoV1w/URzTRHz2L5rv34e8utvi7iy1mzUqAR476uOg18848FZFSpbIBrzdxx7BhnjiYqSJGcwvF5dXkanjQxTye/8xag2L9T9834uulNXHsCcayl6fsnFrYu88Hq9d44+25Xhg61BOvNykdcV+c979JE3eEh3siNdWItIlGbN/hY9GEaUnHMr3x1bKahX0oZL99scHd7Bk+CHoBP42uhtPvumlqGcjKroW353rBsVoJ3p/KHqg2NBk1c/gd4t1yT2Py3GTc6arsU7NtbA/V1gCX+evKngmoZIBL62izPLhOyj58OvBlIETAg5CKSBqRzM2vPRO3w8aWfU9KAjIARGlCBoAoE5RERnrn/kMYh5rHjDZK3oof+rqZ1SgtjByoMtrPFE0hKVpCV55kH6w4eGnogpb+AdJ1PJ0CUTeGHbPsnvsFU3BEL5+D5rv3qZuFvDMw7PoEboZupnACVlyufPQR3sg+0muUzswb1LI50pc0Ysb2S9Mne71waZoL7oRU4saY/zSaPfxmUVNWti+2rW2ICYPbY3ZUJ6QNbY/w/3U65j0neT8GeZiK9J6Jk2GxYqyloSq8ECleaAfv3RLDXKSTZEmfh3RZuC4R4bpEtHWIRGLLvhgZ1Rjr57+OpYvq4Mjh2sUyv0JuXuFwpLznebdnJfww2dliB+LcvMJ+BFs21UE/90jFPWOFAbG+Jda9lv6/pVMcfCdtgz6X30fm9b2ZOBb9psIEXA0zIGTDWv73lp4JDx1/KEy1MB61vhCWQoZ44UOW9q3WadiUHAPhF73DLB9+KWUXPh/YgDtDsFmePWi1YnjmEMeEYitXpJABIEoTMgBEmaC4M9I79x+i0Yxss4LBP2UPzgzwNxP/74e3g0+qcig61hBzrMKQNw65lmW8AlBtEh61/gesglY+konRoSOauyZAf1A5oZFnziksnjYcJ4a9yjUBasJfv/MoDB49mAW9XFSq3QPpMmlMto9TB4yMaowjh2tbDCX51/KauD7cDo9VOpf+3b0i/j3eCSe3eBRZiObk+uLwwdqYO88Lk4e3w5CmoYhwVRc58uvn9dkQn5t8KEeWiJL/K26jNva9VNBLh8uUHkM+Pj5P+MtFoXwd8bc6rgFYMb41Mvb4WzRvaunENg9cmeiEuz35xg7tBPw+tAq+XlbTYohQTq4v9uz2Q7e2TeHj1EHxnKT3Qfy/2GeF17E2tmai2X1zdw2GfpdKf5m8Mxi9eDL+7OZgZgISls1Q//Zy8vFi1Dq0cojlmhfxHLRMOMgzDmr75sX4qxkL3pC9RoeOaFktVjlRozV9tvq+ozABJQEZAKI0IQNAlAmKOyPtv/ZzswKhVup+fDC4qZn4/2hQI9ROZY8K5BXNnmlSS80YT8zzRLylY6jVoGs9P6PD/2Yz5Uzq1WxPhlk88py34rSL/0Mn0MwwkiloRaGkJgTUDJIo/Lu0L3D+gwAAIABJREFUaYZ9e7WJw+vD7LiC8EHQC7iarD1UhFnDn+WL99bXRdSg1+Cna48QxwTYVDIwxbCa6GdNPlVU0yAXqLx3R27C5AZR3oLAe8elx5FvyxsFS24Swlzi8HoTd8yJ6ojtaxsiK6sIZiC3sCPxf1IccT+YP1TrjcGVrWrBmT+pKQKchpndU5YJUMsPWH+3coiFgdPZXkyNMw6bWgMOjmyvaWQh/dGz0G/ONrUGWHrurGdjKV/iXadai1NR9mlKzkHwit5kUezXTXmf3RLQforZOZQEZACI0oQMAFEmKM6M9Obd+4rCYN2wHmbi/3y/Wqg/dhcz5p831CdPdD9J4hWWajX9aufDK4g9nQKhX7CDWeuYtGQabne1M6t1vN3VzvLoPh+cgj5qHlo5xDKvjTckn1xI8gSzn649FqY1s1oYXphXw0z8FQQI+C3aHv9azq4JLqz99cWyxfWQwxj5JifXF3t318WUyHbo1LyFafIpaS271ADwhK9UqIu1nyyBJq+155kG+fuiJtzlIl9cT34erFp9loBkDekobx0Qw4HEmnL5uYn3TRo2NKRpKEbHvoLDh/y44UKZmb44nKn8PS+7Fr5cqcevsfYoaC+bp2GWcp4GSyk7xxdTo9qirUMk936oCWg1M9bSKQ51JmyDgTHcrv5oYcf75EWTUC9TvSOxIh0+BXfXYFWxzstXrKlUYIUdatlOSz5qtp1jIH/elnGZ6J60EL/01mEwIzSocLb2qaa8vCQgA0CUJmQAiDJBcWWkDx4VoP2CD80KgrSYEWbi/+c+NfB68kZ2rVG7ScUu8tWEsVqtL88EsAS0WmHcQhcPw27ljKW+Rz7FntFBirjjbwbWRtsdO/kiY9EuuDcfYTaDL0uMqhXwPMFkdOiItg6RGBX7ClOMS8XeuSWu+Hy7p+K3Dw/74GFgBdzpVQnfz3BhTkYlT2kRhWEfAU7DkDqgI5Ytegmbl7yOcQM6YqghTvHs5NcnNwBywcyqnbf0TkjvJUtwSmvb5SJe7Z2JrZnIFLQ8UdvaTjnzK6s1QC2+W94qIIYc2VQymM5Zbo7quAZgcXIbrHqnHtasfBGTowIwskVf+Dh1QNrQDqrP86MD3rj4lg63Q23wqEMFZmfuz3Z54vxCV4vhQXt3+SOieQgiXPkmwNI3yPvd0ykQHk1jYJi2QbPI77xlEw4kdoD/oWPckCAxFE8tiS1z1l4H7xlbyr8s5Qncv52DzEYGElNUfBruhlYGQgTcCrNDx1HL2a25/5u4sSQgA0CUJmQAiDJBcWWkS3MvmmX+gxJm4GHICybxfyvMDoGj2DVKXtGbC8ektqIA15JKupDlGQlPp0DoYxdAn6sMIQjYvgOX+nkpxH/6xH7sWUnFtCnLNJa/XARJxSDvvrFqw6XX09kwCIcO8cXYh4d98N0sHf7uXhFoJ+DaSAfmesd3emoO8Vk37w2EucQpzkut1lcq6KVCVi6aWfuSz7gqF//S2Ggt5yGv0ZePZc8zLdJzlSZ5rT3rmnnPkWV0WO+m+H+bSgazdeXXznpPwnWJ8HHqgPfmvakpROj4TqVJzM3zxdXkakA7Afe6VcT3M3Q4dkh9xKdDh3yRGN3I1EfA0vVZCtuS/ubpFAjPzZbn06h95GP82Me9sINwbwN/5u28M9DHLjC1zlk6vnwZKz6fl59ZWl6Uv+XJb+gWRX49OSbGrGLnap+aaJysXK8wHGhyMZVU5pABIEoTMgBEmaA4MtIHjwrw2sx/Ov4GjF6FP8OqmgqIRyEvcEeR8IvewYz5V0uWalrVCkgtQp9XmMqPyxLSHrog6Ddnczsa/t3FVjGb76C1Sy3EGGehpZOyNpwlJtWuiXVP6rgGYGt6fW7Yx7FMb1ye4owHQeZx3gXtBXyyz3INPyvl5PpiZGQjtHWI5Ao4eQ27VMRL/5YKWWnnWrV7wIrblwtd+f7kteS8iata20Uj0cAXcazwIumx5O+ffP/yc5eeH08As1o5xPsmf48ttYgYHQpbimYPD8ThTPVO4cwWgoPeipmIH3augCtpzvjogLoROHzEF50NgxTfH8ssWSNyu9dIhD7jU9VvcMP43mbf7YOgSkibl8LvJ7AlmzlKkHwCM1b+Yu358zoY8/IuLfmpKemC4Z2ibAV4d5j5bMFfDKiHOinKfl1eqQdx8+79YiyxCiEDQJQmZACIMkFxZKTHL103y/SXRvY1KxwmxcQyC4YG7RaYRoywJGJ5M3CqiV6thahaDS1PHLJSS6c4ppDwzvoc28b2UNT6H49sjFf2Z/GFR94ZGGLmm2r+rb1GljkS/++na4/FU97gCv+PDnrjSpozd5bY22E2OLXJ3Wrh/266P+q4BpidE0+AyGu7WculLQC87VQFjuSZJhoSzWpgWYJcbkTUBLO8xUH8v7w/ASucSDw+632zZHB45y9NYugU65is90dqXMR1wlzi0KV1M+zbp90InNjqgb/62LBne+5YAf8e74SP9/ONZU6uL1ZMbY4Ap2EWRS3LIPAMVUunOLirtATUP5iHvNjmim84I6kTfI9wzEPGp9yhQrV02NaaX1mT1/G+C9Xt2k9R5N+1Uvcjb1ATs3x+V3gH5ohB9SYdxp37D4ux1CIDQJQuZACIMkFxZKRHvr6mGDZuRnQkHoW8gI1Dg9lNwwNWqgo3a5LW7XjCSW1/Wmvj3AzdoM9iD+E5aslUhXBYPG24+pCf2afhZujGPK68xlYt9Ee6PFyXiA66CCxd+JJqjf+VNGc87MQW/jcGV8aXq/RWjeSTneOLjYuaoIMuwuJ9lYpitZYe8TdRyLKes7y1gHW/eEJRep+lf0tDfaRmQTriEk/EsWr9LQ0PyWrR4O03xDFBcR5iki4P1yWajJP8fFl9KXjvm7RFYNLQ9tifodEI5NbC2TUG/BFRhW8EJjiptghk5/hixaRCIyC9F6xQJpaBY93Hwa5J0Mcs4M4bYMjLx6xZCXjU+QWzb/nbAb5otieDawK612DPH6H2vHm/sbbVGuOvtbJEkRwDUbePctLG+mN34dt+XmYmYEZ0JDO/bzDlSLGaADIARGlCBoAoE5REC4CYeiXOh19qhrL2P2kPjM5BFgsiSzVdaoUdbz+sQpBX26/1WM0MI5nx/tKa/AOJHYBAAX/0cMSA9GXqIT8Zn6KrPknz9Wm55g66CKxP9+dPCJVbC5emueBhZ7bwvz7cDqc3uFlV278+3R9d2jQzm4hLXvstFeti7L78mtVCY6QGgBcaxRO68tp46fnJz0VaUy8N8eGNyiIaGHk4k/z8We+gtefPqtVmnY/UtEhDgHjvlrz/BG8EJTG1dYhEUMvm2LC+jmpHcmk6tdEdv0XbM9+5h50q4IfJzshTmd04O9sXkyMDTCNEse6f2r1kfWMtdPFw36XsvC+mXu+l47deOjMT8Gc3B34o38HjcHcN1lQBYSkfkn8/lvIvtXfImjzU6BiIhoOUAzi0HLMOv4c5moV7Dhj5FrM8aPl2Lh48Knhmyi2CKCpkAIgyQXH2AfBhZPrysB/vsfth1PGHy9MivNVq9ni1Z1qOZ3Wh6NCxcJIhlZlGxeR75FO8P6ozXt+byV2nZt4Z6OMWwtMpUJMQ4P0u3batQySSYl7VNBMsS4j9Fm2Pk5u1h/rk5Ppi85qGZrX9aufMMwYs0c8SptJQFnl8PEvg80SitFZbKnrlv0vXkQp86XryycBYIlT6r7S1Q20b1ohArOFE5bX2rO9HOgqQ/Lp5oTMs4yE/b/H/AU7DkNq/I9KXvIqsD7SFBv06Qvn+/T60iqbWpu0bGpjeOVa+wAu5YeUfre2i0cohFvUi13G/7Zf3Z+HksFfMTEBBYAXMmpXA7heQcxovDk9nduRnCXVLeZQlQ2NN3qZmEMy2cwxUThI2LhN9R842G/Dhj7BqaDFG2WLgPS4T845ceGbKLYIoKmQAiDJBSY0CxEvGNhM1ifwn+d2SMNZSEFoqRFvbFcYN6w+bjyfumXMKDQ8wOgFbSh+cgo1zbe75aYnXlRfadVwD8P7OeprF++fbPU0z+P5fpJ1m4Z+T64v39/hi7tDOGGqIY95LUbzyapF5se5ywS29F6KQZYWo8IS/XFSzYvhFYS0Vv9LzE7cRWwnkgps3mhBLzLPEO0vkye+B9Dzk16DFyMpDp+RGhtfJWbov1m+sZWEucZgW3QbZGloFTmzzwG8x/xgBa/qZFLY61TX1MWF937xnz/vu1GYR9sw5hXfH91GE921MDeV/55uy0dIpTvHM5ffUUl6ltkxu/nj70tLCqthWFwyvsfstjgx0vl8t+KfsUfYdGJ9ZLK0AZACI0oQMAFEmKM55AIZuOAXvcZnKloD/dQzz6vsOejmP1FSgWfM7TzTKCzk1YcQqDNXWb6GLh/7gcbPC3f/QMXwW+Rq+HeALvyP8EAJF2pwFD10Qc1IruYCR/i0fUUTczsepA0ZGvYqsbL7IOrWRLawuztThiw3ahf+qeY1QxzVAUyiM2j2Wix9eC4D8X3FCK+mxeIJP/L/0fFjGgzVev/w+i/dfPmxjiGOCKURIeiyWyOcJdp6BUROIagJQvm/ROEkNi/SYauZJboykv/OGXxWTn6490qc312QETm1yx6XpLszfTm7xUDWnObm+GD3iZdNEYqzviGcCWAbM0ykQhtgFhS10rD4+i6fgflAlUyvAQEshfodPmkKCWO80L//hmVjWb2p5I+94lvI/075ZJiD1IHZGdDALBQpPmMqsBMr55pdnptwiiKJABoAoExRnRvrgUQGW5V5Ek5k55rU+CXsKa/4Zs/xqTZZqN7VszxLTrH3yxKPRoXCMf7foeYrQgKZ7MszG988d0QJuuafVhUBuPvRR80xhAbxZbaXnJxf98vPr5x6JzP1+TGF07KA3riZXw+MAAbd726jGVlsM81nbEHVcA1TvM0vIWhJkLGEmFdzS+yAKWdZwnVrfC55g93LshMH1RyGm41ik9h2PqJAUjI2egDEjJiI5fgJGx4xHXGwyEoakYtzQCYgamoSU8AmIDklBVEgK+oXEIiokBQPDYjF08EiMjBiPYYMTET94HBKHjkNc9GjExYzB2JETMSZmPIYPSURqv/GIChmLbh2Hort/AtpUNX8PpfeON3IQ617Kxb943+TGTPxNbJ3g3UvpRFZqJon3Tvjp2mPGpPpcg6qacmvhz/62QDsBP49yUB0x6MABX3RyHcIVvqywINV7Vt2fGxIUvGkDfuulw9S3R2sz/Tn5cDN00yTYeX9bOnct27JMhJbUo3qSwgTUTdmLL/vXwf/1dkK/kbO5rcBBSz56psotgrAWMgBEmaAkMtIHjwpgrBsB48uxhf8yhL/W2qeiCn6W2FQ7Bq8glP7W0ikO+i05isK866YNuN7T2SwM4GJ/HzQ4oFxX2jGwi/sos3PkDc3IK+yl52+axZcV659bC9/Mr4EHXczH8v92bnWrhf+SBS+ir95cQMkFn7iMN+a9uC3P7LC2YQlKUciKolQtnIclAsNrJqJz6yFI7Dceo6ImYMzQ8RgRNRoTkidhypQpmDp1aqmmyZOmYGzyeKSNmYSUxDQkx09AYkShGXmzfhjaVGV3BubVEMtDp9SEsKWacfkzlK8n/7ZYKcwlDqPaheLAAbZhZaXzi1wVcwh8O6c618zm5PpixuT68NO1NzNS0hGYeCZG/rdNJQP6e4yG/vAp5jddL/Mof14ATgWAdKQvVuuOpbyAt530N60GUfouyL9nZl5ao4dipuCmYzbgzTHvqYaB1pl46InDgMgAEKUJGQCiTFBSGamW+FKe0GcVvtYaAq21arxjy9fjDfM5bNV8xeReH0e/gbqHP+IX/Ev2mHUGFAtYacdMXsHNOv8Ouggc3FeHHe6z1QM3B1ZWdK4s6CDg+5k6zcJ/w3p/9NWza+pZ4k8eq85bxrvfan/zDID8vIwOHdGmajR61EtAVK8UxPZJxdjBE5A4YDwmjns2RP4TGYTJk5EyciKiQlIwuP0YvPFSoSkwOhSOVCS/99KQJ1bnafn7yGohkP7GWlfcpzysiPVtSY3A5GEBmjoLfzunumIiMbQTcKufrWp/gaxs89mE1d5j+TskDZsKcUworAjYd1yz0A99dzVGLp3O/j3rC7M+AVq+Ba35Hs9Ma6180ZQGrdbU90uejl+6/kTlCxkAojQhA0CUCUoqI9VcgDyBmGeJCZ6h4Al/6XJWB0uT+Gc0/U+YPw4FgRXMxP/WsT3gkcOuIdQfPQvv+fsUI4GI5yAfm12LEGhYqzUzpvroER/8e4ITHgcoh1f8LcYen+02ahL+WzbXhr+hnULAS4eVlJ+zPMadFQcvX4/XT0BtP1IDIC5rWy0aQW2GIDIiCZPGTsLkyc+3yLfaFEyagtQxaRgZMR5RvVLQ/cXCcCbREIj3UhpuxvpupPeaN+kZy+zJJ1Lj1U7LQ5hCHAtHDpqe1tBiH4FP9nrhv3FVFe/143YC/pPiiA8P+3C33bOpsDXAWrErfdeMDoUzfnuqTBwmpjY7d+HPbg5AoMAdIch920eKCgFePmBNbb48aelbZHVe7BwEr2TlUM+W0pGvrz1R+UIGgChNyAAQZYKSNABW1SQVYf2iJmtqwLrqk6DPkYn/vDNYPG24YvSPt2eO4IcA5J2BPnoBWjnEcgtzqcBgFdpS0TXcKxr7dtdlhvycSTfgbs9KCoF0p1clnF1j0CT8d27yh7+hneJ8tE54xfpbLt7lE2GxxI6acWttFw27Kh7o3HoIYvumIjVlQrHV6s+YnIbFKYlYlzgM22P74MDQYOQOaofP+jZDfsirON+9Hr7v4oetI/optl09Kgo32zjiZhtH/NHWGdfb6fBre1dc62jAj4FGfN/FD+e718OZkFfxWd+myBvUDvPHJ5egKZiMsWPGY8zQCYhql4y21cxDgKQin3ev5bXh0mfD67PCMoPS/hrSd0q6Dx+nDohuH2yxj0D+OjfcDlPOKvx394o4u1rP3S7zQG1T/xWW6ZSeu/T9lY+c5OkUCEPMfO4cIN5Zn+Nqb4NZHrFuQl8Y8hj9CA4eNwsHYuUPrPNUC/9R2463nHd81XWrd1OEAlELAFGWIQNAlAmedgvAk4h8SwUST8BYcy5SceLuGqwI+3HLPY1NqSFmhfrDzhWRyGviP3q2UCB49VIcR97iIA3L4J1zW4dILIzrwBT+Hx7ywU+jqynDfdoL+GGyM45+wK8ZFYX/jk0vmjpOslpXWGKPNUSmXOTxYorl20ufC+tYbapG4836YRgQOgITxxdvGM+0KZNxtZMHbreyB94UNKXD4Z0V+0lPHPb/7H13WBRX+/Zakbqwgqw0KZZo7L3QlrbLLk2KFaUXKaugiJRd7DX2RGNvsfeCgoA1McZEfX+JKaa8KWqiiemJUaPe3x8465QzswsGeT8yz3WdC3bqmXbOfT/V5P2ptnJyNuc4R5I0uBXcHh9GdMWbI4fgaJIGm3PGYXFhHsqe47r1ej0mTZqMxEH5GNdtksFtiG5lYT93tnWHvd7Vipv+lFQxWciiw14fIE3G5mX9BGtY1FR64PMZdngUxHUL+jbXCmeOkasJV1V7Ynqmn6FInZAbFNUvvqJzYY4T4bSbnPUrZdVCjovggUlKuJCshDVX0CVzPa+SgG9ZXRQa7N+mknejzT4SbgVHTAL//WdViTEAovx/LSIBEKVJyP+SC5CQFqtOkxFhkiNNbHzLXa2CiTn+narfxWFtMGMy/zOsDUavW8kP/o+/g2GybJP6S8/MwgZeCTItAqTJWLPqJV4wdPZIBzzQMAN9fx5nhgu7XQSB/8kqTyxZ2AVBskQiIGODPiEwz9YW1+X5sLXE1P7+1unIDS7AtMkl0Ol0dQa8c0qKsF6bhPLEULwX0xffKF3wn+E9idv+6mtdJ+BeFR/AJQATU+pMABYUFXCO8/aIQbzb3x/aGjdCnHE5pg+OJ6iwMTcRc0um1YsQ6Er1yM8qxhjfSYiW5RjAfIFzLvE5099RUuA1fXs+iwDp22a7hFH/B8kSsWHhAEGLwFt7XfFjUhvGu/9Q1RznD/JnCaKsASEO4w39IaWA5bMA0K/bRapE15S1XGvhqauI3LIev0RYMcaNqgnecK8kxxE4bTsNZ1kosQ+mgnO+gGJTjmHsu+UdWwN0JhGAFdWfPvf8IhIAURpTRAIgSpOQF0kATAHwpmizjE1qpgJPvuYsCyUH+dVcwZriMYZJ/MdIKUK3beEH/wcvGCZyIZM7tZ4vBsDfKhWlyYE4cdx4tpT3V7arzY6ibIaPF7Q1WkV129ru8JIFEjW7dQlE5nNV4gODQmDC1zwdHWyVGOs/CdMml9RJyz9dr8PqvAwcTVLj6vBe+D7AHk8IAPquQkbc/2ulKy/g/snfFreC2+NztafBhWf7hNGcYywqzEfF+GBUjg/GyXGBqI5X4PQYX5wfNRQX4wbgSnRvXIvohs/VnrgZ7IQfFXaYrucSm48iXqoTibgd2K5eBIDe9Ho9SqeVInv4VCikz95Zts8+n0afDebp7xCpCBx7G/b/9HdshH0mXl/Vhf99rvbAh4vt8VBVS4I/XOJg9HuhCPDirCBigDC9P2wCwL5mV6taq6G8gpsswH/XbtyOtmeQgAupfeF54k2eseM8vKVZ9RovSWMN33dryvFN3s9GCbeRK59VfaeBfqo2TNKmS2IhMFH+vxeRAIjSJKShBlJjIL2+gN+U4wlNWsaO5ywLhfwQf4YPec1lbJ8SiW9jHOC7ex/vds5bTxnAv5DGnP6XFAPgJQvE9jc6mwRkqPbZTBne3G88yHf1gv6ItRMGGSRwRwL2JMDBXs+nIaa2d7MJQWT3HBQWFNfZteeNrDH4TOOF+0NbmwSWHw9qhpm6Es5xDqRGoWJ8MHZnxGK9NhlLCyZiVmnxcwPr+rS9adF4e8QgfBzeBbcD2+HhkJaC13R1eC/ucfR6fBD5MmrG+mODNgkzdaV1IgOFU4sxuGecwU2I9P2xv3XKgkPKzMR+9+nVlEmkgP6+Jci08LdKRVmqv6Bb0LlDbrVFxIyQX3bbtaWbIV0odT104iNkAaCumyIBJEvAwP1H8NUIZwYJeC+xB3/GsENvGrUEsL9PUiKD+o6Xpoy9nP1slHD1K4Zbzm6O28+K6k//EfAPiARAlMYVkQCI0iTkRVkAhAA5H3AUmojYAJqtWazLuai/zrJQyE1I79e++j30PFxJXl91GV2T18JFquQFvqTJl24BoLYPkiXieDlB61/tgc9myvBlsbROAIdqFRVeyE7px6iUSgJefPeJ9DxMARvsZ+pqVZumM6JrDvIzTQ/gnU7Ybn9qlFHQ/3BIS9wMccLl6N44kRCC2SVFjQLs69um6/VYPHUStmTH43iCEu/F9MWNEGc8GNoKGCRBeWIoZ59lBVrGPXgwtBU+1XTEiQQlVkzONjmWQKfTQ5s0DYNejkWCPTdgmCqmRiJ2QkXLMttpDUSBD9Sy902QadFFrkD50Y51fve/KLPDF3pb3roBu7Z2g79VKtGywRejQ7Jq8GUO63m4EtfHeDBIwH/Gd8VL5eSMQi5vnGbEBLC/I6FxReibJcV5CI2Xpip0DH2zURpqwVz4/O4/BvwpEQmAKI0pIgEQpUnIiyAAxszIfOuMTXSmTIJ82nf2eZ1loXA8xDTHe504jy7lZ4wSAkM7+R6cHDS8AJr0P/033QLQ1dkfJwk+z+cOu+HHJHODn/OVtcaz+lCtqtoTM0q6Y4Q9F1Cw0zcKgRzSMpJ2l49wJci0iLbPQXZ8IXSlxn36Z+h02JibgAsjBuOuQoZ9adGcbZZMncQAuo8GN8eNEGdcjBuIA6lReDV/AmbUI36A3WaXFuOVwjy8mj8B67TJ2JI9DjsyR2JPWgz2p0bhUHIElhZoOfstKszHzowR2Jo1Fhtyk7AqLwNLCyZibnHhcwX01hIDHVZOzsaCoimcdQdSIwVJ0U/+trgYNxBbssdhhonWAX2pHnnji5AgZxZ6YwN/+vvFZyVia9DZ2ncSaKX+d5cGYUlOoKA1gN7e29TekBb353FmOH+AHB+we2tXdHII4BBiU4L06ev5aod0O1aD98d1YZCAqwndeCuHd1h6zKBQ4DufMeVHXcbdumzDpwigr28IEQmAKI0pIgEQpUlIYwYBk0BBfYB+fdazwX/7Q29zwP+lpJ74z/iuppEAVlXPuvSPAhmtWsqR6JCD3LTeRFBzeZ0cD8JaMFMeRrZAzUnjrg67d3kZUh+y+0UCEJQbB3t7OthjrycFL9Ov1c8yHbn981GgNe7XP1NXijeyxuBydG/86W3OAK3/F9WDuM/V4b1QFR+ADdokzCotqSOI1hMtAvOLCnAzyAm/+Njg4aCWwACJ0bY7PZZznB2ZI3m3fzSwOX4fZonbAe3wWagXrkb1wtlRPphXXPhcxKCsrAxbs8bielgn/DXMzKiF5N6wNvjP8J4mBxPr9XoUTCxBZLfaWgN8WmahrEL1Aa1sct/JIQB7dhmxBlR54M8YZsrQh+rmvOlCq6o9sXJZNwRIkw3npoL0+d5vkvXMW5oFxx3VnPGi8/GzuJL4siGLWMqqhcLjy6IdhloBfKToecfMf5o8UK0hRCQAojSmiARAlCYhjeECVBdrAFsbTUoZaUoubL7lw2TZnGw/HhVv4WJyb4aJXrCyb9Uz8M9ncmeDF3Zfom1y0MZMjtUL+xHByxdldnjCSnN4L6olLm3hr35aXVMb4Dg9/Vm6Q2OuAZQmlg1o2KBf6Fj0baNtcuBvnY706AKUlgqD/ul6HTbnjMflmD64592GF6j+6W1ODJo1pc3QleK1/AnYmxaNs6N88GFYV9xROODvQS1wKaYfZ/uZulKTQD+9nU1JxtaS17ClZBW2lKzC66VLUZk6rs7HmVvMBeIHUyJxIW4QDieHY502BXNMdGOaodNh7cRUVMcH4EtVBzwa3Jx4b3/xs6mXRaK0RIfGTzdeAAAgAElEQVTMEVMxsFssClxyeb89UvpXPkLJ982Qvnl/q1ToUxWCmYLeecMZf8Rw6wZ8WSzldQk6Vu6FIFmigQDwjT2kMY66JhepkhhX1PHEOVxI6YNUY+CfshwkreG1ApDuW33BvNBvobGU7140hIgEQJTGFJEAiNIk5EW5ANVlUqqPVt9U8E+fpNrLw+FYxTS7u1dewJtp/Rnm+WvxndD12CnyxFz5LpwcNLyTH1+f2Nv4W6XilVe4LglnjnbA3RRzDmi5nWWJM+XkHOeUBnPbmq4G8EKaxI1lJaIvI2VwoW/LTl/qahUMN5sQhCmTjFbjXT4lF+dGDcMvfjaCGuo/vc1xdXgv7EmPNcldZYauNiPQkaQwvBfdB7cC2+PvQS14AfcXqo5YVroAS0oXYFHpPKwqXYwjxVvxaKiNSYD9ycBWeDzYHHeTZuBG4TlG+3F8SZ3A//0h5lhdugRLSudjXulszNRNR5m+DB+FvcQ85wAJ7vrJ8EHEy6gcF4yNuYkmxTbMLZmGXRkjcCW6N373sTTc4wsjBhO3P5GgxGv5mSaRgaIppRgXkG8IHK5LHAz73WRr+9mBxezmJQvEK8WDeasJnz7hjm+1Vpzv6aeENjh3mOwSVFFRaz0jBenT+yukjecLDCYWBROwMg51yCHeJ/Z9Jo25JHdIPktgXcZkY4ShIUQkAKI0pogEQJQmIS+SANQH9NNdS/gyzQhNXHwtwl7L8c91PfkOajKHMsD/R2M78oJ/+fFLcHLQ8F4Lu898QMhdGoTXF/bnAI+L2505FX0fB0mMpvesPOkJtfMYw/nYVhO+CZ8NFozlEmevp/tsd7BVojC3xCTAeDRJwwv6f/W1xtsjBmJjbkKdffivhXerE+j+29eZA9xvFJ7Dz6My8cuoDPw4rhA/JM/FnYyV+C57E77V7sGt/KO4MaUKN6aeJe7LaAU1uJlfjluT9uO7nK24k7kKP6QswI/jS/Dz6Bz8GjMGf4Qr8VdIf9wL9ebs/3XhGdzzdzF6HY8HNsOtwPZ4O24gNmePN3qfput1WK9NwlsjB+P1SWmc9Sum5Biex80QJxxJDsMcATchyr0rKT4XbjYhHCDPBvxC3zebVNLdiqj3jb6M2q6LXIGKSn5rwIdLHPAomFk87K+IFrwWtfJjnrC0kHPefaGxi/29q50mEWMCSG3Y3gPwqCAkJDhxCc6yUJPGQWPWVKH+C11TXcZykQCI0hRFJACiNAl50S5AdQXqfBOSMY0U3/mo347LmSk8narfxdHcQAb4vz7aAy8f5frvOp66asjTTTqPqVo06ndJUhAHcHywvB0HoNyLaol3tjkLuvwcOdDJkMqQ5K9M8tsXAjQUgaAfj3gc2xwMeCkG0T21iOiSg0naqbxgk71sXnEhI8XlHz4WeCduADZok4gZf+jHWqdNwakx/kRXmMr4IGHA79Me91RD8Fv0SPwUPwV30lcYB/GN3P4IC8FDfw88GWhaPMKFOLJGvy7t7GgfYl2ES7H9jFoF8sZPQ6JqMpQ+4+FvzQSq7CBfEvinuwmxrVBsQsB+30c6puPIQf7YgLd3unDiAh4HSfDhK/bE7RctcuNVNgiBb/oY4S3NguPOGkHwr3pjG36KtMGpjCFwPfkOd5ule3jPzVdVW4gosO85aZ0xwiM0vjeEiARAlMYUkQCI0iTkRRIANhg1VYNkyuRlKslwkSrhmL4IjjVXnk2oNVewfUokA/x/OdKFP9Xn0QsMLZwxDRwf8Pe3SkWo91AcP9aREfT74WIHjovC3RRznDnK7/JTXeOJbVs6M8C/KWSE7WJBB16UuwVfcC/l358bW4jSIiGgrq/N06/2wnsxfYjbXI7ujQ8iX8YbWWME3XvmFU/FvtRovB/RHX8ONTcA3W0TxqBMX4aFpXOwsWQlyou34tuM5U9dc1rgQUBn/B4Zjp/iJ+NO5mrcnFzR6GD+uVrBKXyXvRl3E0rxW/QI3A/ujceDzTkE4K3UHMzWzUSZnqbRn5yNz0M9cTxBRcxYxG5vjhoqWIPgv6Hu2Jk5kkPu2IHeer0eeRlFiLbnFp1jg08qCJ303pEIAAn8RtvkINYuC9PT/XgzBZ0ud8edTAvO9/bJ/LaEeBoPTPKP5dTOoH8PpO+ODZ5dpEo4byOn/VRv24zfwy0M49DR3EBudqCaK5BnLEKUHTnWoi7KElOaMWJjbNxuCBEJgCiNKSIBEKVJSGO5AJkyeZjahLTX9P+dZaFw3HaSM+m+qktggP9bMe3Q/2A5b8DvMFm2SXnv2ddHNX+rVOhSA3Ccp7LvmWMd8Gf0M9efL0tsUc0TpFhd44mqKk/oUxSIteNaJOh/6VpSUyZ8ep/pmlhXq9qMPuNC8gX9+2eVluBwchi+D7Bn5OKfX0SwDgho+hcV5uNYohpfqDzweGAzoqb7Vkw4vi48wwTJU6pwJ+O1WhedxgbsL6JNPY3vsjfjp/gC/BGuwt++zriZfww3Cs/hy8JTOFK8BQtL5+DEuBDGvfsuwBGnR/vhtfwJvM9hbnEhjiRpcDPYiZcI/Kiww7HEUMw2UjhNr9cjQp0MP0tyrn/2u8q2ZtFJKf3dpu9HLadIbCeHABw7wmMNqPbA5zOeBdn/FdkCZ4/wk+3yY52Qk9rPUC+AZJlgW8rYv72lWcSaI92PVOGLUa6M8Wjr1GimwuJpc952WrBQGMlaZwoxEBofhJQs7GXUeRtCRAIgSmOKSABEaRLSUANpq5by/61m4QaHg9x0nvr5+YzJ9m6ULbz37Oc1z1sn5j9XPywt5Niy1V1Qk19d44kLu11wP7wF3l/ZTiDQ1wOvv94BNtYv9l5KbdxQVMQfaDq3ZBpOjgtiBJfSW+X4IKNa5/lFBTiSpMGXyg54YsznfbA5fouOazTg/c3Us3g/txzl4zeiOmkbzqTtxPn03Xgv+xDOpe3CrpErsXPkSlzOPoSvC840Wj+pdi+kP++9/F5hj1Nj/LB8Sg7vs3l9Ujoux/ThtQpciu1v9PmWlZWhpKQE3boOhFlrpxfy3lpayLH/AP+3d/V1R9wPb4GL24Xd7Kg2b34HtDH758ek/gfLcSumHWNcWjwjjTgeORw8i1YWbo0/vgq0hhCRAIjSmCISAFGahPwrCICZM9puPcqZPKM3rWVMsn+EmUO5/Q1e8G83fy1amTnXux9tzOTYssU4+KfaqQr+bStPesCx3Yu9j5YWLkhPz+LN4T+vuBCnxvrh3jByCs9ffa1RHa8gFqxit69C3ARB/0N/d/wWM7rWb7/gVIOA+k/zqnA+bTd2xK3AirBZWKaehe1xy7F39CocHbcBqyPnI3NgCqzbmA7AzFs7I8ArBMs0s1CRsBkVCZuxI24Zdoxcgb2jXsOx8Ruxb/RqHE/YhA+05fjGlODiOrafx+TifnAvPBnInxEJAyS4EeSMYwmhZItNWRnmF01F5fgg/OwnZTznVydnmUQAqFZaWorAwLAXQgQsLeTYLPANCn1zpPbKYrfnJgH2u7lWSZ89+/BjpJQxPhUsLiaOS223Hn2ucamhW0OISABEaUwRCYAoTUL+DQTAOmkyceJ0qn4XmwtjAKUED0JbIm7DauJ27aov12r+nxP8L17MTTN4Za0cX02TCmb1YbcDB91fqNbfvI0zYmJG8QL/uSXTUDPWn7fY1HdBjtifGoWZJlaaLSsrw7EENTc1ZlB3/Dw6C9/m7vxHgPDXU8/gmvY4Lk04iIqEzTg6fgNej5yPzEF1A/UN+u62cUPmwBSsipiHHSNW4Fz6bnxVcPofuf6b+cfw4/hi3Av1wZNBrXmJwJXhvQWf1QydDnvSY3Az2Akfh3chbrM6LwPzislEgmp5eZNhaeHS4Pe0jZkciYkuqKg0/Zv7ssQW/1lFLhq2/8Bzfo8WbmhXeYkYD/Cnpo2BADxSNUf82mVky2RyQaO/q3ytIUQkAKI0pogEQJQmIY1RCMwUv1N6YGpdA9Xov9vLw+FYLZBru+YK5s7ORuarc3l8/t9jVPglpSokBSbTfZQ7OQQQs5FcW+aAx4G1fsefzbQzCYisX9oH/lapJt0HdiAi5Q8t1Hf6b3/rdKTFFBit2ns9rBMR+H+lcsO2rDFEv/IZulLsSY/Fl8oOWJ+bVLtcX4a5ulk4W7QfN/IO4cnAlrgf2A0/j8nBrUn7nwvsfjXlNP5PexzvpB7B0ZE7UdJ9NhSWGYbr1sq1jAJopOdNBabSqySz/dCpben56km+7XQfd3ZKS77jU83dRonsLnpsD9+I6qTduJRxFJ9Mqnoua8HNyRW4m6DHvdBhnAxDG3ISTSNuej0xPegMnQ53FTL8NcwM1fEBgnUK9Ho9wlXJhhoCJJ9zvveV/j89IJj0LFytghEgTcbmVT2MfnPX57UFFBI8CZDg44XkDEFUrQBSf/hiF+itW8pa4vgTv3Y5HqmaG0jAn2FtEEKyUlZf4VQiZ3//fIHJpsQD8I1zxsZkMQhYlKYoIgEQpUnIiyIApoB2U4iCENhn/28U/Btrle8yJlWhAFs+sNLJIQAVFdxg3+tzZJzMI++8Iex7vGHhQEOgL1+QL/te0VMtsrfhC1R0swlBpqoAeiMFvKi2KWc8A/h/ofbAxlwyaFxQVICasQr86m1tAJj/ieyJNaVL8UVhNQOU3so79HwuPJOqMSNoLgq7zoS7jdIAgjLbaQ33hZ2Kkg3SqfXsjEhswMlOkUrtSweipLoJ9OfEfqdJxaXYwdh0YDZCpsX8oUtROXY3LqUfxad5NfUiBTfzj+Gn+Mm4H/gyHvq64Oupp3G2aD/m0LIJ7Usdjnej++LVfOPuPgdTIhjvx2++VjicHCZY12Fy3jS4y1Sc+0cP+GXfC/Z9EkoOQLVYuyzoUxW8WYIu7HbBkwDmd/pFmR3RYldR6WkovFeXIltUtWDHRTuJ49DkJaUMV6Db0fboe+g4d9sK/hoBJEJpbCwlgXljYy5pWUOISABEaUwRCYAoTUIakwDwTYZ1XU/SZtVW3mSmz3M7eZGcV5vU1h/jpPokTZ5CmTa8ZIEoL+dmHPmyxJYBKJ4oJLg+l5t2kGpHj3qhNCkQ7tIgoxM1O1uKqZo7Qz51+xxMzuMv8jSrtIS4/HO1J/4b6o4N2iTi+uVTcvBudD88HMTNX/9kUKvagloCoPTDiZU4MWY3vuYBtF8VnMH7WRWojt+LHeoNUEonGK6bnqWFDiD5nh17GxLoZxevov6S8tbzAXf28yG9V9SxM9tpiecm9Yt+/CDrTLzmvwLXJwpbCD7Lq8G+8M0Ey8AJxu8vCqvxeskSfBfgaHh+n6o7YlPOeN4MQu/F9CVaiO4EOmBr1lhBa0BCSD7cbEKIKT7p95Z9f9nPh0S66K2TQwC2rulBrCD80Sv2HBLwzVQbIgk4UeHJsQTwAWb283ORKtE+bSFn3HI8dRXLypI51cldqrhuQ+0PPUtRzDdm8QF8vrGBNH7wgX7S8oYQkQCI0pgiEgBRmoQ0NAGoq8mY/X9d9qe297HKhOOhNzmuPnvz1LiY3BvdjgkX4nEsvwgXqdLkflH/Z7Z7lrvcSxaIQ2y3n2oP3Jhiwyw8FCjB+yvImX5OHPdCqPdQA/CnA1oSWCXdCzbYJd1TX/N0uNmEICw0CToereySqRNxLaIb/hvqTgR6c0qKiMtX52XgWng33kw+D32d8fPobKN5+dcoVhm03Ct9VuDgmC04l3gQyzQzMbPHbCS1ncgLsqi/dI06HRiy7xPdZYSthSdpVOnb8T0j0rOi3hdXq1oXJDZxoB+X3Q+KFAjVa2BbN0bItNioWIFNw1fhjbjl2B62Ecv8ViKqSxoUlhmItc3FZ3k1Ri0EdzJWEp/lr4Fe2Jkxkli8bWNuIr5WuhKJwCdhnQWzDhXmlSLanlmngg2gtXLmPaMTAvZzJJFi6lidHAJQfrQjxyLwn9WOnMJ832qtUENIz1tJswSYAqzZ762Tg4aT9lNecxkHJ4YY4pVyVszkHb/abzvFGL/Y76sp4y/V+AiTqUTA11x0ARKl6YlIAERpEtIYMQBC2qS6appI+zpmvMKZFGfN1Rq0Z1+PcILPnn38E2jKAs55TCUfrlbBCJIlcjT/NVUe+FZrxQAQj0Ka4co6Oa/mPzuln0maYhIo5esf3c/dsF+7HJQUkgN0Z5WWoCZewUj5uDNzJC9Yo9qaiWn4RNOZN7D0L+UA/JCyADemGk+L+U76UYa/Pv0aW7WUcwAvHygnvTsUeKbAOJtM+VmkIdp1POJ6KTHFLwpTlSrMDQvHdGUkCvwiUawYjpKQcMxSh6NMGY4pISqUhIRhujISxcERKA2IxAx1OIpCVZgZGoGJASoUB4dhuloDnUaFmWEazAnTYGa4BhMDVEjoNhKZci7hYL/nlEWADXLp10KPK2Afo1VLuUFzTt9uqd9Ko8/j29wd+D0ijDdw+LaiHXanx3KJgF6PnZkj8YOiLYcE/D24Bc6O9uatIaDX6ZEeW4AOtkre8YJ0nXzfMOl9oPYnVeaurvHEu5uc8FDVnPEN35lgiZqTBBLAiglgn8MYkHZfdowzLnWofBsV2b4I37rRuAVz6V6OEkNonP2nGul9bQgRCYAojSkiARClScj/gguQENAWmrhI/7tIlRwT+th1K/BY2cxAAH4Ybsdf6GvRDsPESeqXUPCcr3k6Rthn4tgxFvg/6YHb2ZYM4PAwtDkubXHiBf+7trwMd2kQZ0IlXTMd5JHuH3sdBXL9LNMRoUrhDfLdnDMOdxUyDli7FdxesHDXkqmTiBr/JwNb4o/wUHyXzXU1EQL/QdaZHOBOERmKAJB86NnvEN2Nhk4Q/C1Tkd8rHoWKKBSrVbVgPlSDWeEaLIhR45URmhfaFsWpMScqFPqQcJQGRGJKiAozlZHQKmoJgocNWUNLB5mURpz9PlDPnk4A6CRJYZmBIyN2mPRsbuUdwa9xiXg0VMpLBHZmjOS8KzN0pShPVOFPb3POu/WznxSr8zKE3YKU+Yi25cZcsAOr6bEYbO0//V6w17lLg7B+4UDid3lxuzMeaJgk4Pt0C9QQMgodL/c0VOYWGufYsSK+5unwlmbBsZzr4lOntmgnxxJgKoCvD9jnu76GEJEAiNKYIhIAUZqENDYBqM+Ew/e/sywUjmuZ+f6H7DuEX8OtDOD/QWhLsgat5grk6YvgImVqGOsSkxAgTcahQwTwn8UE/w80zXFxB3/A77atHQ3AwZj2Ukjrz9aM00GGQpqOonyy1n9BUQGuDu9FdNe4HN0bC6dNNmoBeD+i+7NCXYPa4LfoEfh24j6Tgf+XU05jesCzTD1sv3eqtWopZ9wD9v9scJfQNhfD3ENQMHQEChWRmDdcg0VxLxbgPz9B0GBeTGitJSIwGsM8QhAjzea8tySwS90LigBQZIEetOxuo0SZYhb+O9m0dKM3p1Ti5zFa/O3tQCQCX6g8iIRxftFUvBM3AI8HNTO8X7/7WGJecaHR96t0qg7uMhWDENL/0okB6Ztg/2a/V+7SIJQmBaKSEMB/YY8L/opowfimf0g1x6lKbg2B8vLamACJpIXJYyB1DU4OGsiPm0gCCJWCHU9dhTx14T825ppiYST93xAiEgBRGlNEAiBKk5D/FQJA0nAbm7Toy7ylWXA8cJ4x+XmeeBOfjPFkBM/lLdWRJ9CMV4z2k23Op0/YIQ7jUVHBBfNfTZMygML98Ba4sNuFF/yvWNLNkOaTD6ywAR7bZ5wE+KjmZ5mOcFUSOcOPXo896TH4w8eCqPVfOzGFCOLorh4z9TNwtmg/buVswePBlvg1dixu5R0xOXPPW8mHUPLybLjbKBm+7Ww/fOo3iQDQ3Zz8LVMR3l2JvGHDURYeikWxjQ/gG6ItjNVglkaD4mEjkOiZhBhpNkfzTX9n2PeNIgHUO0MRAV33ObiabWJBsoIa/BQ/BX/7yBkE4PRoP0EwvzovA98oXYBBEuxNjzEK/qmmK9XDw56b9YYdK8F+L9jfEft7oe87wj4TR45wv9M397niXlRLxrd9M9+aJ0VoLQkwdUykN29pFhyPCycuUL2xDW+n9MFL5ae566uvwMlB81wuP8+zr0gARGmKIhIAUZqENDYB+CcmIl/zdDgu3cPRiB3WBjPA/6ZpcWQt2cELHFM5n1mbDTB8zdPRRa4gZg+prvHEuUNu+CO2FaCQ4K+IFnhrrysv+J83v4PB7ceU4F1S/0g+79Q6hTQdRQVkrf/CaVPwYURXDvC/P7Q1yhNVmK5nBgfP0JXixHgl7g1pg32p0SjTl2Ff8Tp8XXiGoRk2Bfh/PfUsziUeRGeZhuOeQyJfbAsAHch52AQjorsSkxSqp9r9f96F52BoP7zn54EPvF1wfagcXw62x42BdvhugBR3+lvjh35WuNvPEnf7WeKHflb4bIgj8Tgng7vjXEAXVIT0wIHQ/tgWPgyrogPxyj/Q5wUxasyJ1CDPezjye42Dv2Uqw+efTQDY5JbuQpQg06KzTIPyUTvxdYHxmI0bBTX4aWw+Hg2zx6Ohtvhm8nHsL15vSCFKatP1emyfMJonwHwaXinMI+6n1+uRqSqAm00I8f2gA3/SN0Qi9WyrQbJzJk4QyP35A274c3gtCbg3vCXe3M//bZeXewla9diNTkycHDRwPMnNDOR46iomLdXjvroVoJTgVMYQtK/mbue0+xzHsvk8YzCfUkIkAKL8W0QkAKI0CWmsLEDGlpMmar4JZpgsm2MC1y2YzAD/7yT3IqbNc6y+DCcHjUmTHqkPQbJEVJ7kz91fXeOJc4fdcDfZnBf8V1V7Qp+qQBszueCkakoKVLYrAwXgAuzSUVpKzvAzu6QIv/pac8D/x+FdsJgAvLZkxeN7f3uDhvcXHyk+nyKcxpPUvph8CsW+ZQiyzmT0n55Nic+FhVpm1kqO2A7x0CpUmB9dP3eexXGh2Bjph0OqvjgX0AUfeLvgm0Ey/NqnDZbHKjnbv+frDvSQmNy+729NPO+d/tbE7R/1aIaf+lrgq8H2uOrjhtOBXbFfPQCrhwfWmxAsilNjdoQG+v5jEGubZSBObBcYekAwKQNRrG0uJnWbjmvZFcatAlOqcHvCumduXYWnsLlkJcr0ZShPUKE8QSVYC4Bq78b2w71hbbAvLZo39mSatpQTIEyqIcA3zvCRbepvbT0Prp//+QNuuJtijvMHuFW+OVm9yr2IlgA+wk7/3V4eTswMVJM5lDHOvTIjnUgUXkpZZxTMk65dSPlhKmFoCBEJgCiNKSIB+JfKpUuXkJ2djW7dusHCwgKurq6Ii4vD9evXOdt+9NFHUCqVsLS0hJ2dHeLj4/H9999ztnv8+DEWLFgAd3d3mJmZoUePHtixYwfx/KYe01R5EQSgLmC+LhOLq9XToN9tJxmTnWbrJjwMbWmYFO9Et0XPw5Vkv1m34RwQxO4jaUL0Na/1Ez54UHjSNwoKKjwR4jAerlbMjDYk4EuBGvYytssD/a+fZTrClUlGq/nWjPU3AP8/vC2wJz2GA7YWT83DtfBuRD/vu4nTTQb+X005jfVBq6CwzODV9lPXStLOdrAORqJnErQKFRbGhtYJCC+NVWF72FDUBHXDB94uuNPfBn/3bM4L3jdG+nKOcT6gc50IwO3+NsS+/NqnTZ2Oc9nXnXucODUWx9XtHiyK06AwNADpXRKQ6J6CDtbBHPcY+nvElzJ1hEyLQm8dPptUXSfi999JO/BgcG0Goe8CHLFem8z7Xm7NjmeQ0vcju2Ne8VTitkUFpYiWMa1z7OthE0g+cEsaB2ys5UQ3v7q0igpPjHQkZ/JiZOYi+Nt3SV3PGcO6lJ/B1yOcDGPdY2UzjFz/GjnGyTnS5LG3PooYPkLRECISAFEaU0QC8C+VmJgYyOVy5ObmYt26dZg1axYcHR1haWmJDz74wLDdjRs3YG9vDy8vLyxfvhxz5syBnZ0devXqhQcPHjCOOW3aNEgkEqSlpWHt2rXQaDSQSCTYuXMnY7u6HNNUaaiBlG/iYC9n50UX2pZ9LB+rTE71zJfKT+NmrKNhQvxb1QJRm9fxpMrbwzt5kTSE7H7o0xScCf7dTfyZfdjtZBWzaBCdAPD1gQ8gkIJf/a3TMSmXDJbYbYZOhxshzvgwoisWTpvCcs/Q4fh4Je4P5qZ9fOjvge/Tlprk338lpxwjumXC3UbJeOYkQMa+7g7WwUj2SEahIgoL6+nHvy18GB71aFYn0L1PPYBznGPK3vh2gBRfDrbHJ0Pl+MDbBVd8O+CSnyfe9vfCBUUnvPW0XVB0RFVwd2J/bgyU4dc+5ngoQEDorTK4B+cYGyL98KBnC3w9qC0u+HfEXvVAotVCqM2LUaNYEYMEh2yi6xnf90Ftq7DMwMyguSZXHf4jLJjzHr0b3ZcY/PvmqKEcy9Qvfja8Bed0JTp4tlMbCCSp78YyedEBOf27atVSjpGO6aioNO37fm9Te3LFYIGYACEC4GOVCedtXD//oB078Je6tWHMuxtli96HKrjj3cn34C3NEtT6mzL2CVlESRaChhCRAIjSmCISgH+pvPXWWxyw/emnn8LMzAxjx441LJswYQLMzc3x9ddfG5ZVVVVBIpFgzZo1hmU3b95Eq1atkJ2dbVj25MkT+Pj4wMXFBY8eParzMesiL4oA1EXrZOq28rSFnElu9pwchkl81lwtEfw7HXiLUenXlMmNDnqCZIkcv/9PZ8sAhQT/1dkSJ35206UEMMAG3Z+dzy2AtIydztDVqtbfv7iY4O+v12PF5GwieJpbMo2j9X8tfwJuBDlzANvjIVb4aexE3Cg4ZRTwfaw9CbVdFi9IIPWfur4A62QUB0eaDPqXxaqwVz0QO8OGcNYtj1XisRGQ/XtvM3wzSIb3vV1wPqAz1kf519vtpi5teYwSGyL9sEczCCdCeuKCohM+HOaMWwNs8VevlkAPCXYQrul4SC+iC9HNgXZ4S9EJ28OGYrGJMQWL4tSYFRWK/F61bkJ0tyB6inYj3OcAACAASURBVE22FYr6PartRFxMPmyUCHyfthgP/dw479Rv3lbYlTGC817uyhjBSRn6eFAz1MQrOLEpZU/jAianFMHf2rgSgvS906+V3iiCXusOxM0OZGjVHvhsph2gkOALvS2vJYAqFkayfrF/U3+dZaHcIoenrmLyklLGuHchpQ+cqt/lbOe1vJyX1D1PIykpqN8NISIBEKUxRSQAojCkb9++6Nu3r+F3u3btEBcXx9muc+fOCAwMNPx+7bXXIJFI8OGHHzK227FjByQSCc6fP1/nY9ZF/leDgIW0UL7mT/NkVxEC42quoHTBFDwIbYmqCd6Q11zmbrPuGBH8C/WBne7z2BFmld9rSx0YGUG+KpIKgv+li16Gv1Uq4xwUwCARIr7/SZNuYNt0YkXfecVT8XF4F9wf2hrLCnKNWARKUTPGH48GNucAtT/ClbiVd9h4cG/BGawPeg2xtrkccE9lnaF+060/fhZpGOExxuQUnauHB6IyuAc+H9LOoE3/fEg74rZ3+tsAPSR42LM5bg20xVUfN5wM7o4dYUOwMibkhYD9Orc4NVZFB2IJwdXnqm8Ho5aDe71b4aNhTjiq7IMVJl7jorjarELJnknws0gzPBt6mk226woVcBsmy8YH2hPCRKCgBr+MTMfjQWac9+taeDeOFWpRYT4+U3txrAGfqz052xqsAaV6ZLpoiUCaREDZ/7OXUalTXa1qYwJOlJO/7S/K7BhjwScL2vIEBnsiQJrM6R+blLC/b29pFuRHL3LGvX15ocbjAWquYIg8l0h8hAhBfWIoqN8NISIBEKUxRSQAohjkyZMncHZ2RkhICIBarb5EIsGCBQs428bHx0Mmkxl+p6amwtLSEk+ePGFs9/nnn0MikWDFihV1PmZdpDGCgIXArCkaOxepEo6vHxZMjRe8Yzu6HjvFXVd12WhxHKE+eckCceQgE/xfWSvH48BnE/7jQAlvhd+TVbWaf3dpEOd87MBMOrjiA/z0bd1sQjA+OJ/o7786Lx0/+dsy0nrO1JXwEoCKcVw3jYe+Lvg+fZlJPv47wjYZCnixwT+7/9R6f8tUaAfHmFR86/XhATgV2BU3B9oRQe+Dni2IgHln2BBsjfCus9/8/2rbEuGD04Fd8elQR/zZu7VRMvBbH7M6ZxlaEKtG8lAVYm2zOASADg7Zlp0x9pPwZsJBQSLwrXYX/lIO4pLMYRYca8B0vR4V44PxaHBzBgn41dca63jiCHQ6PaKdmO40pO+J5FJH347KnERfFyBN5lT8rq7xxLubnfAouJlhPHiikOD/XnMkjgdvbOvMGAvY3zefS5aTgwaO1UzlhueJN/H5KDcDAXikao7ILdy4Aceq9wypQYWIER38843bplgQGkJEAiBKY4pIAEQxyLZt2yCRSLBhwwYAwLvvvguJRIKtW7dyti0oKIBEIsH9+/cBABqNBp6enpzt/vzzT0gkEkybNq3Ox+STO3fu4Nq1a4x26NChBiMApk4YxrT97P+7Ja0RBP9CTV663iSNF7s/0TY5CJAm4yAL/F/c7oy/lczJ/v2V7YiTfeVJft9fOsAggQE2uKL7N7taBcPNJgQpCVoiCDqQGoWHQ1pyQBOfK1BZWRlmlRbjh6eZfp4MbIFfY8bgxpQqIxr/szgStcUA/EkAi5SlaIQsEyXBEUZTdq6MCUFlcA/cGCgzCnT/6G2GDZF+jQ7QX2iLU2NjpC+qg17GZ0Mccf+p6xC9ve/tStzXFDehRXEaFPhFIs5uAgeYsrMHUdYCV6tgdLePxFdTBIqKTT2LHxNK8WiIDYcIXI3qhdklRYx3c82kVAaZxSAJHg1ujmNJamKWIL1ejwRVviFVKOk74iP/9O+MbqGjrjNIlohKQkzA1dfleBzwTCnwKKgZ3t1Mjg+amNmHcV5jyQio9V1TubFNQTt2GNKCQinBjVg5Oh8/y9mu/aEL8LHKNAnE86031XrQECISAFEaU0QCIAoA4OOPP4aNjQ2GDBli8Nc/d+4cJBIJdu/ezdlep9NBIpHg559/BgAEBASga9eunO0eP34MiUSCiRMn1vmYfFJWVgaJREJsL9IFyNiEIqSZcpaFwrH8IiMlHin3NbFVXYa3NItxPpK/PSk/urs0CG9s7cyYuM8fcMP9cGZF0E/mkc39VdWeUMnjiddLL2pl7L6wtXIJMi38rdNRMJGrzZ+h0+HtEYOIbhMLishuE2VlZSjTl+Fg8UZ8N2E1Hig64vaEtUYDfM8lHYRSOoHYfxKg8TVPR4B1MqaHh5qUq3+PZpBgth70kODbAbY4H9AZWyO8/5Fc+iQAPGd4KKarNSgJCUeJYjiKFcNREhKO2epwlCrDUBwUjpnKCJSGhGNKsAqlAZEoUqkwIzQSxaEqlAZGoiw4HMVqFXQaFXRhKsyLDm2QasRL4kKxSzMYl/w88WM/S6CHBPsJQc2vRQfhj96tcdW3Q+29M+E+zFKHI8A6mfdbYmvQ850m4dDYLYLWgFt5h3BP7cMgADeCnDFDx41lodzZ2BmC+NKElpWVoSC3mBMXwJd5h0S82S56VOOrA/LhEqZb4AN1c2Iq4KpqT3SRK0xWTFDNxyoTjqsOccY5dgrkA5OU5PEw/RVekmFKP4QsKfT1DSEiARClMUUkAKLgu+++g6enJ1xdXXHr1i3DctECUD8CwLeOmlRcpEo4rma6/oxetxIfxneC/67dRglA19T19eqPr3k6clL7MSbt08fd8dvI1ib7/U9M780JLqQDEHoQMP26Kd94vj53sFWiuIDs7/+52pMD/s+O9uEETm7NiseCp37Uy0oX4MtCWmDvVOHCT9fzqhAmyzYUjmKTOHomFepaYm2zoB0yvE6gd0VMCCdbzuMeEnw9qC2qgl5+rhz5bHA7NzoUZaEalIaEoTgoAuneKuT3GodY2yxGjQKKgJEIJP0vScvMvj/+lqmI7K6EVqHCbE0EpipVmBKsQllgJOaEh2HhP0BoNkT6YWmsirO8Jqgb475+N0CKipAeWEbYln2vCpWhiLObwLgmKrMTm7BSBcX2j97ETwSmnsXdhFI8HmKFx4PN8XXuFszQkQH9dL0eVeMC8XhQM3wbJMfs0mJ+Uku5BBXrkCDnFgYjWdlIBID+PlPbJMi0mJceTPzuP5/OjAf4M6YVzhzrwA0KrnxmHRRKT0rvc4JMW6sQYcVC0esDfD9chvi1y8ljYvVlQ1YgPjc9U8mIkGW3IUQkAKI0pogE4F8uv/zyC3r37g2ZTMYJ4K1rDICFhUWTiwEgaYL4wLUx7RN1rK7JazkpP29H2wNKCe6rW6FoUSEv+HfZdtpoNUy+dV6yQFQcp7n+VHng+3QLxsR+O8uSN/PP6oV94W+Vyplc2ecl1QFgg0o6aUiw1yJvIjfN5/IpOfhB0ZZT0Xdn5kiOheDcyGHAAAmuqzthTclSRiVfY1r/mUFzEWubaxQ0UL89bIKhHRItmNFnS4QPypW9iOuueTs/1fRLURPUrbZq7nMA4oWxGswK12C6MhxahQpJ3Uch1jaL9zroYJ8CfmyXJqrSLhsg0oEj8Vk+3YcCyuxz+1mkYZh7CIqHjUBpSBgWxNSv6Bmp3X4aGM0JHu7VCpf8PLFmeIBRIqAdPNyQOYgEVNnvcka7fFwXqB/w7cS9+CF1IW4U1hYQW6Sbywvqt2THY2nBRKPgn2rFRaXwt34GetnudPR+stOAsgE69dvfKhWrF/bjfv/VHrg1yYoxVvyU2AY1J7ljRXm5lyEomE1OhMYpx/RFnPGux5GT2D05DC8frRFUiniV7jJpDOQjA2zCTzpGQ4hIAERpTBEJwL9Y/vrrL/j4+MDCwgIXLlwgbuPg4MCbsScgIMDw+9VXXyVmAdq+fTskEgnOnTtX52PWRRo7DSgpyJU0uQx1yOEEvR2YpGSYuvOW6sgT3fGLDNcfvnPQl1OgIECajD27mX7/XxVLGRP6L/FmOFXhTgT/65b0hbs0iEho2OdmAwySOwVd81+QW8IBNxu0SZyUiT8q7PDq5CzGdoumTcaXyg4Md4ufRmeZBPzfTDqIzjKNIAim99XDJhi5gwU0/nFq7FUPxFeD2j7N0NOCmJFnfZQ/Nj6HX/+iODXmRGqQOzgaMa7jECPNNjxrttaeraEnETY6WCc9L7pmlb2ODvxJ1iASgWIvj7XNQnh3JTK9VZgbpTHJlYrUdoQNwfvernjQswWRCDzu0QwfDXMy6h60MFaDogGj4WeRJpjakvqrsMzApqBVJtUP+LrwDA4Wb8R0nQ5Xo3phnTbFKNCfU1KEDbmJZBIwtbZyMKmP7PGJTgDYQJf+210ahIkZfVBVzRwDak564MekNowx48Zka6LC4I2tneBvlcqbmYhEVHysMuG4jVDo0JRGKxBGugdCNROECAP9/jSEiARAlMYUkQD8S+XRo0eIiIhAy5YtUV5ezrtdZmYmzM3N8c033xiWVVdXQyKRYPXq1YZlN27c4K0D4OzszKgDYOox6yIvOg2oqcSAvp23NAuOJy4xJq7k1YsY4P9klg8jLoAO/p0cNERtFf0cpGwbQbJElJcz831/sLwdYyK/F9kS5w67kTN8bH2W4YMELOkAke4CRF9O/aaD6g62ShQWcN0d5hcV4P7Q1gzw/99Qd8wvKmBst06bjF+9rRng/8mg1vhx3FRhEDb1LBIdJxPBK1vL62oVjAT7HGgHC2j849Q4rOpL1ECfCXzpuTXbi+I0mB+tQaEiAvm94hFrm2W41/TGfh50QkDXxvOBffax2ACI/kzZxyJp++kklFqnlWtR4JzLAGXsd9bfMhU5PceiUKnCgui6WwiWxyhRGdzDkCqV1P472AFbw4WJwIJoDXw9QpDQNpeX7NP/xjvk4YvJxutJ3Cg8hx/jxgIDJHg0sDmOJmp4ff5n6HS4HtYJjwY3x8GUCOI2JUU6KKRkf3/2OEEnAHRSQCJ4S7KDOGPBmWMd8EdMK8bY8fFCe+K4UZbqzzsO8CksnGWhcDx6oX4kQKBAmLHxm6TMYPe5IUQkAKI0pogE4F8qEydOhEQiQXh4OLZt28ZplHzzzTdo27YtvLy8sGLFCsydOxd2dnbo0aMHx1ef8uFPT0/HunXrDJWAt2/fztiuLsc0VV4UATAV+JM0T47L9jJ9+Y+dwvfDZQbw/1OkDXocOcmd2Pafhbc0izOx82nS6Ou8ZIHEPN9v7XHBH7G1E/mjkGa4uMOZOIkfPNCRYc4nnYcN4OgEgO+e+FkKV/fdnxplAP+Xo3tjJiuA8nByOCe3/0NfF9zO3iSo9T8Svw1etqEG0MqOTaCD5w7WwUjtFYuFsTwa6Tg1jqj64If+VkSQ+bBnC5wP6Fxvt55STSiiuiuRYP8MmBe75DLuNQmMs10+6MSG7ddOd9lhxwTwBZPSXU6ofTLbaQ1uQ1RfhKwQ9GPQ11P9o5ODWNssZPcaixmqCCyIqcN9jFNjZ9gQfDK0PbFw2iFVP5OOsyBGg4L+YxEjzea1YlDXobDMwOyg+YLWgNsTXudkCXovug9mlnItYe/EDWAQ4Zp4BZEs6Ep1CLAjP3uKeFF9ZcfosMkgtdxdGoQ1r3Ddgd7a44KHoc1rYwGiW+LtXS68CQNCHMbXaQz1NU+vTQ1KUoLQWuzG1ehz6ARnuduSo7zkgkQ8hKwm7NYQIhIAURpTRALwLxU/Pz/eTDoSCfO1uHbtGkJCQmBhYQFbW1uMHTsWt2/f5hzz8ePHmDt3Ljp06IDWrVvj5ZdfxhtvvEE8v6nHNFUaoxAYaeLgm0zay8M5k9rePDVD+z9h5RziZNdv8AwGIDJFu+VrXpvxZ+f2jsTJmQoA/j7DAv/3Kjnd5+EDnZAkz+KdMPkmUVIhMHrrYKskZvtht6pxgahmAZ4ZOh0uxg7kAKh7ah/cnHxcQOt/Bt3tn7kIkHzZ6ctG2afzg804NfaH9sed/ta8qTvPBXTBqzHBdQL9C2I0SPNWIdEjGX4WaQxwTt3PAudcA2mJtslhBC2zATcJ2JNIAfs89OMVOOcSrUrsflGgnw6G2evpJIVeMI3+HPhiDKhjx0izMcw9BIWKqDqRgbVRCrzn646HT92Dvu9vXecMS6XqUHjYcN9n9vW7WgVDbZfFbw2Yega/jEzDkwHNGO/w1yGunGJgxxNUeMIKgL8YNwDTedKEal25Fiz2t0qyAJC+aVerYPhbpWLH9k6cseHKWjl+SDMnBgLT24kTXvCSBRolG+x18gmvEMfCjifOYVvBcEApQdUEby5RqLmC9vJwwfGafb18RIF9LxpCRAIgSmOKSABEaRLS0DEAQlp2dmObjl2kSjgeOM/J+kMH/yey/YiTmeO+s5yCXyRwze6DuzQIry/qKzg5U8F9RM3/wY6ciZsO4ITIB5VlhA7wqH3cZSqUFnGz/ZjS5hYX4rNQL6bLz4Bm+GVkGm4IaFy/KjiNrm3DGeCUDWKpv17SYExXRvC6nWwN9+bN3/9rH3NUBXc3mnWGAfpj1ZgYoEJXp44GX3466KX3ja0t5yNZQiCH2o8N7OnAmw7G6e8zHbzTj0kdiw3aKUsKaTnpfaYHHtP7RQ8+pvfZzyINXZ07YpaG/3mx26vRwbig6ISDoWTtf01QN6yLUvDuPz8mFCPbZnAANJVViX59I2RaXMg4xPtefp/6Ch4PYbqw/ewrxWv5Exjv/a6MEfh7SAsGCfi/qB7EtKKlpTpEy5j9YN9vqhIwH5Fh/w2QJuPECdPHDnbbtaWLIXkA1egEkDSWuUiVcNxzmkMAXi8Za1Rp0r78EpxloUYtpnzjGN9Y3xAiEgBRGlNEAiBKk5AXaQEQmkBI2iR52kLGBOVR8RZuxMkNk9iv4VbodZgc/OaUPE/w3HyTWG6aCeCfp+3e1YkB/vkIDlvrSQcYbFBJaf5LWOB/hk6HS7H98PqkdEHwv2TqJNxRODDA0uPBFvghZYGgr/VH2pOGQF8hYJzQNhdpveOMAskjqr5E4F8Z3INYsZfUFsWpMUOjQYxbvAH0U6SJDnzZz5kUaMsG8GzwTde208G4q1UwtHItg2SwQTj1mw6kqPXU+ehAztf8masJKS6BTQrox+azJlDxAlRf2f2n3rVY2yzk9hqD+cPD6p1VaFv4MKCHBH/3bI5Lfp5YQQjgrn1+GkxXRUJhlWLoCz2tKtN9KRezg+byugR9m7sTD/3dGe/1X0PMsCUrnvH+b8hNxF/DzBgk4OPwLsQq2KUlOnjYh3LeD+ovPQ0om0jyEcpRTqnEGgGmtunpfsQxTIh4DJNlcxImdCk/gzvRbQ1j590oW7xUziUKjttOGgqE/VOtIUQkAKI0pogEQJQmIQ1JAIxp/IVIgrc0C44nmfmtV5fGM7RYk5eUkn1dVx8yaP/pWlLSRE0HjO7SIJyo4Jrsr8+RGdXaHT9O1vzzAQP2bzoBoDd/63ROwO9MXSk+jOgKDJLgD28LrGRl+KG3s6O8GSDpbx8nfJezVTDQd2bQXCgsMwTBTYJMC3/LVExXm+5Xfmug7VNXn9aoDnqZmJOeD/jPVEdghCyTE2xMB2V0gM3W1BY453LScZKsAmwgSv2mgCrdqkCBdjrwpp+TvQ/l708/Lx0As/tAvya69YA6H7WM9D6xLQj0/SkwSycX0TY5SLDPwfCeyroRgTg1vhkkY7lytcaJkJ68rkKL4tRI6xXHycJE+m66tg3Hl5PJVYRvTj6Be6rBjPf70cDmOJgSyfgGVuVl4HcfSwYJ+EzjhVmEugF6vR5BDlyLC/WuCY0h7DGM+l+bYUSpUO2BTxa0JboUsouE8Y0v7PM6ZnBdgVJWLWSMnzsnRxDHT3nmK3Uaq4WW+5qLQcCiND0RCYAoTUIamgAITVJCTV7MzPkfsHMX/la1MExeF1L6QF5zmTuBVb7Lm/KTT2tHtXD/wYzJ9/xBNzzQ1AbtfZ9hgTPl/H67pUlkzT+pUBSpPySA4W+djpKpOg74Z1dAvRXcnjcbynS9Dtc1LwEDJLgf1AO38o7wgv8vJte6/JCCTtnNwyYYcyLJoHBjpC9x+fawoXhL0QnLY5UmgH4NdGGhyO41Fv6WqYz+0MEiBWTpQbB0rT/b/YX+TPiIDbWcDdgp0E8tJ4HXzHZajpsG/ZhsME/9ZrstCS1nWzGovrFBNJtI0K+bbjmh98nVqjabUGlAtElEYGmsCv/n40oMFr410BZbInx4952ljoCHDf99ofrjZRuKSxnHeOICTuO34TGc2JaqsQGMb2L5lBz84mfDqYhNKh6m1+kRbc9062ITdL74EPY+0TY5iLXLwpKFXXnjiW5nWwIKCf5WNSNWCj5yxJORSphPuUA/p4tUCfkhVlagmis4ke3HIAFRm9cRU4NSmdPYLm6ka+QjAdT6hhCRAIjSmCISAFGahPyvBAHTm49VJiftZ8LrS/BzhDWglOBBaEt479lP1F61T1lg9Ph86/fuYRb7+imRmbv72lIH4iS+Z1dHwwTNdy6Shpc9gdO1sm42IZimLeWA/4/CX2KAmF99rbFiSg6vBWCxbj6+mnIcv8Yl4saUKl7wfzHzMIKsM4mWCjrgjbbJQQfrYExXR3AA3aroQHwytD2e9JDgjfBh9XInWRSnwXR1OEbIMnmDLenAmu6XTXLLoZaz15GACt29g21JoNazs/+w96X3k22RoPeJREzY5IWu5Wf3gU3S6KSDRErYBJTubkYiGAkyLeLsJqBYIVy4jWqbI3zw1WB7Yg2BS36evPEdszWRSGiby7Gu0N/DzHZaKCwzsE6gZsDPY3IZwcH/VblzfP2XTJ2IHxV2HBJAsgQUTCzhkEV6jA79nrKBMgmku0uDsH5pb87Y8Z9Vjowx5tcxZsQiYTmpfXkVDOxxhPpNcgXqc+gE/ggzNxCA62M84FJ1iTuWrj3KOJapYzd7zBMJgChNUUQCIEqTkBdFAIxpzOjLnYZOIIL7l49WY/fkMCyenkp2/XllF8P1h6R1JwFJV6vatJ/0Aj6fT7djTMzfZZMr/VZVeyJIlkgEdGyNHR3Eke4BnQBEKJM5Pv/XIroxwMsvfjZYVpDL2a6srAxl+jIcLN5oUmXfY6N2QmGZQewnQwPeNhdZXimYqmSBuTg1jof0wr1erQzA73Z/Gyw20befavMiNUhol8XRcLP95Umkib4dCczzpS4lPata96ZMlAxdjpmRO7Fg9GHMjNmLObF7MTNmLxaNPoxF8Ucxf8xhLBp7BIvHHsaiEfsQM6AU/paZDCBNNX/LTEwdtAyz1VtQHL0N80YdxMIxRzB95C7oIrYjL2wtSsK2YVbsPswdewDzRx/GvMjtSO08E34WGRyfefbzEboeeqpRah+65YS6N3SXJLpLU4w0G36eIcazB8WpcUjVD7/0NecQgZ/7WmCXZjBxP+3gGCS0zSVWWmaTozBZNr6aQnYJups0E08GtcZ9RUesLJpOJMSvFObhrkJm3Aqg1yPAjnlueppettad/W3T/6f+xtpl4cgRL84YcmOyNWOs+apIytnm6FFPxNplcd5f9tjKHuuGyHM5SRL08/MZVoAZ8yZxx9Lqy3CWhQoCe1PGc5EAiNIURSQAojQJacgsQHWdKFytarNYyJfuEcxlTcx1vWwfXKRKjmbdVO1Vypj+hsn20hYnPA54NiH/Gd0Sp4+TK/3OnxDIAV9sUEDS+LOXU6DM3zodaUkToae5L0zX6/Gf4T054H9pgZYBWsoTVPhS2QGzS4rxWeFJ49VVp55FmWIWYm1zGX1jx0v4WaRhZB8lURO8enggvhjswAF8f/Vqic0C7h/0tiBWDW3vUYiRZjOAJ0mzT3+Gme2eWQBIGnj2s2ATC1erYGjbT0Ry55koC9mEuXH7MD9uP5YmHsfK9Gq8mlFT57YyvRr6iB3wt8w0AP+ZUbvqfTzqmAtGH8ac6L0oi9qJGUHroLCawLk2+v/sugJs7To7BoAUlE5/JyjLz5R+o7HQSBrQZbEqXPT3wqMezTjvxRXfDlhM2H9hrAYFfpGIs5vAyL3PJjTRNjkIss7ExczDxHf6TsaruJV3CF8XnsGB4g0o05NIQD7uKmT4VNMRswg1BKimK9UjPDgJCfZaBkEnjWdC7x6dhHaRKziVgk9VuOO3ka0ZJODyOjlnrNEX9TIUFjQ2rtL76ahjuvk4Vb+LD+M7GQjAH2HmxGQK8jEzie+C0PhNWt8QIhIAURpTRAIgSpOQhhpIW7WU172ZOcNu3hph8E9o9gfPoJWZc73O2cZMjqQkFxw/UavdP33CHX9GtzRMxI8DJXhnmxMR/G/Z4o42ZvW4Tp5maeGCoiKWNlKvx6XY/hy3H7bmv3JcsMH94Y6qO24UVAuC/2+mnkV7my7G+2Qmx4xIclaXI6o+DK0/1T4Z2h6rogONAv9ZUUq87NIRZq3+uXtorJm1ckZ3t2AkKKZjTvw+rEirqjcwF2rzxh+AdZuOmDf+QIMcf2V6NZalVGBS+EoE906GeWu3F3YPzVvLMWbwQCwyQgQ2RfoaAr+p9tEwJyMuYGpk+fvAvLWxPjjjfNpOoyT3emEFyvS1sTD0oniLpk0mZgIitbFjk2DW2ukfu3+pqdwCYG/vcsGj4GaGceeviBbEWgHz5neo+5hj4YZ2LFegiC0bGFaAfXmhnHHV4dBZtLJ4/veqIUQkAKI0pogEQJQmIf9LBMA6MZ+pgSIF+RKa+ZCwep3PxlqO/QeYmv2b+Uxz/Gcz7chZf064w9LiHwSmrZ1QUMCt8HtmjA8D/P/uY4kVk7MZ25yMD2Lm+B/YAncyVvJr/gvOmAT+rdvIsSCW68azPEaJa97OHOD/e28z3jzx9DY3WgVV994vDPibtXJGzw5KTIvZ8M8A/vQqrE/aj+1jN2D/iGU4Gj0blRElqNHk42xoLs6rJuBNZQZOBybgTWUGto7bxjnGmpRj2Dx+B1annvjHCMGChMNI9J+Ol92CYdaqfoS4Ls3STI68YH9BIrA4To2aoG542LM5nDuhXQAAIABJREFUfu9jZnKRtznRKlgaAbrWbdzwvpYnOJjWPptagStRvXFd3YlYNZjepuv1xID6hPEp/xgJaGMmx4GDXIvixwvaMsae29mWxLEnOdmlzueUFnGzAu3J1zBIQNjWTZxt2m45Um/lCtUaQkQCIEpjikgARGkS8j9DACzc0K6CFoxWcwWVWb5YVToOHU+c4wX/DsfeqtcEZWkhx9FjTJ/+q2vkjAn4p/FtUF1F8vv3gH3bfxZMBQeHcUBHeWIoA/zfG9YGq/IzGdtU0DT/teC/FX5InssLhj7NOwk7Cw+j/bFuIye6emwN98ZPfS044P+jYU6C4G5RnBozI0NemMbf0swDY3yLMXfcgXqB/nVJB7A+aT9n+Rvxm/DYqzngKTG5HY2eyznOiSi9Yf1fna1wt6cHvhw4CO/7RuC8agKORs/B1nHb8Fr6yXoRguVpJ1EctxkhvVMa3DogNZdjznDhlK7ro/yxM2wIb+wAafn8mFCTSMD59N38BGDqGfwRoTF8H59oOjMsAfQ2Q1eK/wzvWVtFm7A+N3cizNv8M8TKxlqOSnawb7UHfkizYIxBHywnpQb1gJ1tPcbXKmZa5Z6HK/FHmDkeqZpj47QR6HrsFHGMtU7Mf65rbQgRCYAojSkiARClSciLCALmC8Klb9OxeCdj0hm7boVBM/XDcDuot20mTk7dktdwfF6FAteotnIZMy3fmWMdcD+8hWHi/VvZDG/u56bkq67xxLolfTl+/ewAQKF+sOMjPNupGT7/VDueoMSTp+D/wdBWWKdlBgaXJ4Rywb9Aga+30g8gxX6SIeaAXazK1SoYHayDMaKPkgj+D6n64e+ezTm+/kdUfQTB38JYDYJtExjPgJ2Vh+3jT/LXZ+9PxU1Q23ewVmJkxzIsqaMP/6aEXTgeNR3vBYzGVwMG4I+XZICnBO8FjOYSg+RDdQL/8JTgUOxCznFOayaZtO/Djma43bsLrvlosCblWL2tA/NGHUSAdZbhPrdqySw6x06jSr/HdP97+j5UHIYhTqR3HWsIPLUm3Rxoh33qATzvjhqBNkkc33aqH5nttHC3UeK1wFeJGYJu5R3G3z5yxnfyYXjXZ8HyT9vskiJ8quloINvsWgJUK9KWIsGeea/Y94cds8A3PnWRK1B5kjm2nDvshgfq5oZx6GFoc5w75MYZg04c90SANJl3nGHHxLhaBaN9+kLO+Jn22gL47d4rbGV9mlpZaHwVGoMbQkQCIEpjikgARGkS0piFwKgJw8lBA8fqZ4G9TtXv4voYD0bVSpIVQL5whyHrjymBadT5gmSJnEC8b7VWDM3bh6/Yc7L9VNd44sj+lzDC/lmlTHbWDxJgFQoAdpepoGOBEXrbkx6LB0Nb4Y2sMYzlB1Mi6wT+T4zezcn0Q+9LgkwLD5tglGj4M/e8PjwAf/ZubQD/3wySYc3wAGFXjsgwQ+VXdnpKNmBiAypf83RDJVs6+KRvb9bKGSO89Jgftx/LU03QlqdXY1v8FpzWTML1oQH4rVs7XvD9+WBv4v5/d2zN2faJZzM86GSOe12k+L1rW/zWrR1+69YOv3e1x96RKzjHeTskuU4k4n5nS7yazrVkbBm/A6vSTHMjWplejWWJx5HWfwnMW7sxgoVJAcV895wU1E4RCH/LVKQOU5lGBOLU+HCYE9BDgic9JHhL0YloDVgUp8HEvrVB4nyA09c8HWPsJ+G/hKJh32r3cEjAf6J61rr7PP2e1k5Mxd9DWhgIwKPBzbElO574TSaE5BOVCyTyKjQOuVoFI0iWiCMHOjHGmvdfbccYi77PsCBmIFuxtCtv8C1J6eJjlQnHRTvqHGPleOoqHEvXC14HXz9EAiBKUxSRAIjSJKQhswAJgX76b8d1RxmTzZQlJQzf1KmLizgTUvuiNZyS9aZmxVj6ClP7f6rCHb/Emxkm3B9SzTkTblWVJ9Yu7sep9mvKBMx33W42ISicyk1ByG4LigoYv3dljMBjWs7zJwNbCLr97Bm5Hu42SgNwY2t1o21qq8DyFfait73qgXjUoxneUnQiZnMxaG7j1JjUbzRipNm8oJEElEjpYkla31hbLSYHrMOy1EqTNeFvhyQLAn52+7GHG/E45cNn4FDsQuwcsxabEnbVaubrmOVnQ+Je7B+xDMejynA2NBeXA0bi0yH+uN37JfzV2ZrTlxv9ehOP822fbnjYsQ2+GjAQZ0NzsWX8GyaTAV3cdsTZTeQ8C0rzT08bSk8TSrIIsAmxlzQYM8PDBN+l3ZpBHFeyz4e0w8oYctB5iSYU/papnPeXfm4v21C8l86NC/hWuwt/ezswSMDF2IEMf/9dGXEGixsGSfDXMDO8lj+B8z3q9XpEt8vhZCuiW0boTcgymCDTwt8qFbs29GCMN989LQ4GhQS/jm5NLEJYVe2JUU6pvEoG0jjkIlXCkVVk0aT2NC0om6RLJC0EFS4iARClKYpIAERpEvKiCQB7UmovD2ek9fSouIDb0fbPCtWM9oBT9btMzf/htxn5/vk0TyQNVSeHAI72v7qmtvDX9bky3A9vgfMHuSb3xKHRJrn4CIF/el/dbEIwObnIKPhnt005Cfh7UItn4H9AM9xNLOMJ9j2LNYrXDOCfD3h72ARjXpTpbhtroxS86xZEa6AdHGuo3kvS/PNpS9naZmo9tUwr10JhNQHTw7ebpu1ntcsBIwUB/2/d2uHzwd64GJSA8uEzsG3c1nq53FCWAkOrx/7rk/bjQNwSnFHn4pqPGmdDczjbrEk5SoxH+KGnB94JGo8dY9ebRATmxu3HCC89YqS5jPvPTslK+q7opJJd9TrTMRepvUby1w+IU6MyuAfHrezHfpbYEOlH3GdWVCijejA71360TQ4UlhlYrljBcQn6LucNPBpqxyABNWP8OW539Libn/2kWDhtCuc7LC4shZtNCC/oJxFeOuinfxuuVsGYMVbNGG/OHu2Ae5Et8dksGWoIcUhUO7DfE/5WqYIAnN1cpEo4Hn6LF+x7nniTaHH1KN0heFy+5Q0hIgEQpTFFJACiNAlp6BgAISLgIlXC8cB5xiQzd3Y2Q/s/fs0SovZfCIjzkQFXq2CsX/sS72RaXeOJU5Xc7BzHj9dOsnwglQ1YhSZFX/N0RNvmICWBmcN/ul6Hd+L6Y7lAVd+Vk7Pw1xAzBoD5Kb6AV/O/zH8lEQzQ+9jJNhjzY7ia/JPB3fGmonOd/LmnK6MQI83mJT8klwl6fno2YKK2S2w7EaldZmHJ+GOCvv2rU0/gRJQe/x00lAjeD8QtNoDkx17Ncbt3F/w/9q47Korr+2MXpbkqrkpfunQbTXoRsNLsUgREmr0rajTF3ntLYrpfjbEXNMZ0FcSGoCIWsMSuUWPBz+8PMsN7894skOjPHM7ec94BZpaZ2d15bz6fez/33jz/WOzqPQPr4zdXG5hv7rMMu3rNwKHwkfg1KBF5vrE44xWBQvdAXOzUBZc6uONy+0644uaGAs9Q7nF29p6J/d0nYFvUHHw+YD1WD9lRY5KwPerDKqMYdxzN8GtIIj4e/EWVx1uSfACjA9bCXC+MSxZJsEs1iJN0LpZ+/75NkpHlHi1732zq7oWHrtpMbsk3EZ1lc0qsDFjZnTSH5NDA/zFz4mbaepR76FBzaFtid2qe/RrbiSIBV0KNuSVDu4UmcOUwcmuQ9N4m73eVIhD7D9DrzsF98sCfHEKXYF6UUfo9CvtaJ81m1lWjA0cxce543O7dDCsnD2DJwYHK5mDqHB7S7W/DNARAY+/SNARAY7XC/r86AfOGMplOSrPZdRgPu+uI4P+3RBe26deB41SHSnUPWulQKQJx4EDVD1TpmDfRUy2gr64nTBhxwaMYMPFTH4+KSj/ejfFJ+iAuAZg1ZRIKI6xF4PKgT4rahF8zvVDZ6/Jtkows1z6sVjsmHMd8zUUgVlWCrzA+iowQvf48ICKVkkiTFKXJknGKLCS0GIHpoRurrOLzVf/VOOXTA8+sdUTg+2twIvO6Fcn7kO/bG7t6v4c1id/JHm9N4nfYEruI670/1aUHYKpV7fHQphX3HNed2zGvfWapi5uONihyD8BvgXHY3XMaNg38mKv9Xzb0IJan7MfXfVfg15BElLk5oNxCvjrRa4s6uNrBjVuSlBcVGBO0XuxqTH6fkXoZGNs2kwHdZLdmY52K5GByW5R+Oib7yZOA5ZFBuNpZQZGAV451sDfEUTY5mCQB4twiohYqgzBu1+BbQ5fideeG4jwq71QHm4ZV5thMz56Kom5WFAk4HuXKlAfNzs6Gvz6f2Ep/F65LXcO1Tasdarw2VSQEq2QbhMkNI/1QtNr5K7W2fjIuSlx7/wpvANdtezi5AGvVvlfeud6GaQiAxt6laQiAxmqFva2FlBf+JsFhr2aZaLXnd+rhsiQ7nvL+9/hkPRuGnrOtRqCffDgl9utISX54iXXSsf9AZbUNddEFOe+b9P/8dFOYij+bkyMpsHHHX4EZMqUK505+D4969cSj3lG4xql6cm38EZzN2o8g3VTm2oTP31Q3GGN9ezKgamF0VxR6KikQ9ty5HpZFqq/d/kHPCMQ0G0bJMISfZJIpqR+XAgdyn2+ToZjYZYVab/+K5D3Y32MCbrjayXq+q+NFX5G8D9/0XY4joWko6uyPB3ZtRED+Ccdr/nNwUo0IwDOzhvgsdjlDJu7ZG1f7GC8sGuOYf/8q38vaxG+xv/sEFHf24iYqP7fSrlEloaUpOZgUvAEJLUZQ3n3pvU5KWUjJl7SikG+TZMS4hsr2DVgQE4b8LiZMXsAv/pbc5OA50WGIM0zjVrwRtjm06MmtDnQ78X287lhXJAF/uTfEipFDxXn2weQJuBXYkpqXOxIimPk4edIURLZgcyCEkaVk73kpoRI+0z6tUvjyREmpUJ4kqJu/O7cKkfSayLnZavAsam31/XozykPriOvvprG9ObkAeUwUQF3kw0c75Y0+VwTTEACNvUvTEACN1Qp7V1WAlD7p1IOl3Y4cPOnWWHz45AzzYh8+B/PQpmVElR4n3sPWTD8Iy5dUJv8WftQc9wc1wq9fsl05yTE8xYXryavq/fEejiZ6IRg1lNb9rxiVihce9UWQ8dyzAZZLav0LY0b2dJSMP1QB/Mcd5oL/gqz9UBmEMe+fvO4Yl1AGTC2NCmE8sM+d62GLTHnGebEV1VmyXGJgqsuSPKn3nwQfwrUISZSk19ZfZxg+HPitWpD7a3CCWKqTN+47tMVvQXFYnszJE0jJwZf91uDnkBRcbt8RLywaywLvHb1nif+zLGkv1vVdj++Dh4r7n1s0xkOblvijnTmuO9ripp0Z7lvo4YG5Hu6b6+G+hT5uWzRHgY0tTtk5YE/gMHzdaw429l2Hu3ZGKDetW20S8EvQEC4J2t1zGjeasXrIDuzvMRGXO3YS8wTOdIngfqYb476qUho0KWi9KA1KNcyiZD/S75nnAafIQMt0zOwunxdwMMgeryUk4JS3ETfpfG50BGwV/HknnHdWID9B/t6AkSIBuBnYBvPGj6Tm2+IxmXjq3ZiqDLR2+BBmXk6dmo2AZizglqsGRBImKSGYluInuxb98rUR7sY3xsXpbHPCPXssoFIEUmSIB8ZJMtBWEcZEWMnmYC+71kOnLdvZdXjSWu56K7f+vQ3TEACNvUvTEACN1Qr7/5IAkQ8II/1QtNr2E/VQWTl5AOX9D/qCU67uiwOyXnh1w0w/CAvmtKtMsNtuihddK2ptlwdooegDBfeBu22LFRValwP2Uk8e77376aZgRCbd6feDSeNxx19BeRm/HhpDAwwhWpA9DRfG71fb8fR01h4MaTFCBGY8fbRKPxhzomkQtSIyCLc66FGA65FrI3zSo4u85CcqArGKVErDT1aNIQEQzzMpBY7RBlmYHLxBVu6zIf4bnPCLwgurxvx6+VaNcdY7DP/rs4Qr3VmbuA1nvCLw2Lp5tUF3rndvbO2WjXx7JxTY2KLAxhaF1la4YGWBc9bW4rZ/PKxtUGRtiWIrM1y1bIsbKkPctTDAY/MmeGFWn7qWbb3eZ97Xt9HzAFMtlJvVRamLE34K4Xcd3hD/DX4OTcaX/ddwCdULq8a41sEV38bMU5u0vDQlB2O8liO++XCRCPAqAZGkTgp8xeTX5pnI9JcvOfttWHu8IJKDT3kbyTYMmxsTgSTnCiLKux7/pkNxbCi/Y/CjyD54GtYFl8fswoypLOn+NG0AVRnofIQll5xPnTwVpgahXBLMWxfkpHJ+Okn45mtLZi06N6cFygO1AH8tvArm9yhZt9CVG11T56BotW4ntcZ22rIdL8Lqi+vw16O7sevwflqGKUcEhL/fhmkIgMbepWkIgMZqhb2LCIA0Ac1+50E8jWgkPnR2ZgZwq1O09uWD7KoecpnJbtSDsmwEXfM/d62SW2IvpOVgrleTRwDkHvLGOsEw0QvB2MxJDLA/08OeAv8/9vWkXrN1SC+c7tEOs6ZMwtZJ69WC/4ujDkFlEMZUcSGv219nCFORZXXvANxt35QC/3fa66it7z+zZ0U5RlLeIYCuLCW/4g95PeR1+TVNRVrwkiobd+2IfF+2VOfh8EysHrJd7f8vT96PZ5a6smD/pXkD3LVpjT9UzVFq2QYXrcxRYG3z70H+vxiF1la4bGWCmypDFFpbId/eCVu6TcO6AZuwLGkfjvn3576XPxws8UtwElfCJB2/BtP9CMrcHLAteq7a/1mQsAexihHUPU42EhO+XxLokhp44bs31Q1GsnOsrCTo8+6eeOrSABc8WmF+jDxZEMZk/yiY6rJSFx/tinyAgiwOgR53GNfGVeQJFI/PwbRsFtznDAwAOmvhRG9nzJoiX7Y3K2ECQ4BIQiKteMVbs+IUWRV9SiS5Skc/bUOtWbeGNeGuWXZt/arlsBCuoU3LCCYKsGlsb3EtftW1Ltz/t41Zi5WT1qhde8nxNkxDADT2Lk1DADRWK+z/OwnYSD8UrbZLStAdzEPfdctwLMERCNWC/1dfsQRgz1HZpl/qHkJWLQOo6hq/b6IfpDfTmnK9/0sW2DOeLDlvP08DS3q+B3GSfnfGh1Hg/1KYGdWddPXwZLHc5+2Atigd/rUs+C8Z8z1C9YcxXlaSiFgZsJ7/Nb388cCNrr5S1slAreZ/Zs9wsQwj+Z5JrTNZFpIXhchSZiFKPxMDPWdVv2NvSg5uOVuLQPVKh/b4LuojxmP9Rf+1OBQ+knuMcx7BIkh+ZVYf96xa4qbKECVWpu8c7P+Tcd9Cr8ooRqmLM3IixmIVT/ufkoP7Dm25xOpaB1d803e52mjAYK8PEN+8so8Az9NPkj+SGJD3g00z9t4UxtpeflgU3bVaiejzYiMw3K0/dXzyeoa0GMEnAcTYMmk9M1enZ2djU1p/JglYOrKzs2HeIkw2CljVNvIznDfJnVmTSkfq0o6Lda2Z1+zaWZEQzHOSyBEPiyl0F/YO3+6iogBfju5RoyiAhgBorLabhgBorFbY/ycB8NFOQesuafLNZg7mIeBLDvg/dAKtk+dU6W2S7jfTD8I3XxNdNnPMcX9QZcOvV8F18ONWtub/ti02UCkCZR+act5/3t/++mzS74qRQ6muo4+7NMXc8ZUkYfbEsXjQRY8qVSjX6OvKuB8Q3iyN8jpKyUqf5kOZaj9re/nhoWtjCvxfdm+BxdFsfoAwpof3QLRBGvPeeUmYUmBDXo+VQXfMS9jFBZYrkvdiR+T73H07I2figrsPvuq3itq+MmkPDnQbhxtOdqIkhirrmZKDFYnb8ZtHT9xRKXDF0ujNSHj+A+OClQVuqAzx2Lwpyk3ryBKB5xZN8HvAYOYzXZP4HX4NTsRTGz0uETjv4YdPBn8uSwQWDdkLm2Y9GS+29H6QEgApKPXXGYIPIqv28gtjUXQolnAahs2NqZSmkfemcM5YRRbOj8qRJQBXxh/G/Cnv4/t+PtiQEacW8PPGxDFT4Nu0kgTzQLic/IecIypFIPbtp9clUroIfy086tOQmxA8OzWwSscIkwtwIFc2CvCyaz103LpTNgrAW4fJc78N0xAAjb1L0xAAjdUK+//MATDSD0Wr/x2WJwAyo/W2X2CkH0o9PMkHHK/2fqReBiP9ObXUkPKgFWcbMA/Pbz6zF6v+yAF7qQdTGIImWnzIGmRg9KgJFECYNWUS/ghoIYL/15218HFGZdnP6dlTcSFMRYH/hzHxXLByddwP6KZIpyISUsmSlUEwK7GICceNjvpMB9aFMp7WuTERiHEJZeQVwnsmQT7v8xJeb6obqra6z/aoD3HPwQiw0MLmPkurjApsiN+MowED8dRSnwG8P4akYkX8VuwKzMApO4e3Ar7PWtsi19Ie+8w74CeVM35SOeFXC0fsNXPBIZUbcsxd8YOFM35SOeOIhRN+snDCTxYuOGDuiiMWTjhj/Wavp9DaCmUqJR6bN8VrDgngEQBhrB6yEz+HJOGZDduF+KVlAxwNHIhVSXzStjQlB2keSxHffDhT7pWUiUmTwKXEINogDR/2Ut89WAD/VzorUNbJAIujWMI6JzoC/jpDmMiEcC3JLUfi0mi2POi18UdQOmonnnTtBHTUwmMvmpgzIzub2x9gcNAohhyTc4FHjngOhY+GBjHrU9EHzak1rGBuC64UyKplgNr1Szrchq6j1tyOW3fgZdd6Ign4eHx0taMA0nO9DdMQAI29S9MQAI3VCvv/jABI6/5Xdyh90mUfMrwHW6ReBgL0E7Fvn0p8KB7cZ46nveuLD85nPerh0B626dfkeLqetlTLLP2bfIhLH66DgljwcDS6AyX9+aGfN7X/UH9fCvw/7eouW/Fnsf9S5jrJ6zPXC8bsKL5XdUNPH/zp0ghw1MJ5j1ZYIKOxnhtT2XSJ1HKT71n62UglUZF6GYhpNhwLBvFLUH4c9yUuuntToPO6q71sQuqngzbhjFcEXpo3kNXz37A0fCOg+oyVLX5X2eEnlS2OWrbDz5ZOOGDhjgXKCMTqpYqfASmBkuq/JxlV1s0nyWK0XhqmteqHz4188ZPKCb+p2uFXC0ccNnfFSasKgvFPr7vI2hI3VIZ4ZtZIjIpsGMxW+1mVtAsrkvcRRGA7jgYOxAtLNtn6kb1hRV8CGRKxMH43VPoR3BwAaTRIWhaWvGenRMhHAgTwLxDXq50VXInQ7KgKEiDnbbdWRKBkDDuv7g0cQ82/klBTSppHRukKutviVC8HZt/UqdkwU3TlgnreXJGLnpnpB+HrT+2p9engfnP8GdVAXMf+6lYP3+9m17FNa5y455eLBvRqlok2X9Pdf8mKQM/CG8Jh+wF2bZ68lpnv0nX5bZiGAGjsXZqGAGisVtjbWkilDwIj/VCm7r/dzkNVEwCJ9l9OSyt90E2f7CjxnCkoz9mZhS252v8QTy/mAS310PH2kSNOkQUTvRBMmcQChx0J4WLZz2shbal6/xsz4vCaAB8vuyhROopfvWRzn3VUoy/p5xKln473I3qo9aSu7+mL/C4msuB/tqTZkrR8obTOvzQCEamXAVPdUKR58JN8l6fsx5GwdG5ln9tO5kx33k8HbUKBRwjKzfjlM/9U6aLMUolCa6t/7NHPt7TFDtMO2GTsi+xW/ZCgqNSzkx5s6TYB1AtNsoTXCCUzydKZwudJJkULv5Oe8yDteHxmEoBDFi44YfkPCYG1DS5ZmeK6qhXy2rlg7aAvKGJ1NGAgHti2xsGIMVTZ1A3x3+CsdxheW9SheiuQZIE3liQfQN8Wo5gcAB7IJZPGSdIUpZ+OEe37sU3qYiOwLDIYtzroUtGrS+4tuffw7L+b05HnI9cLu+bd2R4B437Ak3A/igQc7teFmsNrhifhkY+OSOI3p0Qx83z0iPEw0QtR64WXRi55czlAPxF796qoNSp/RasqI5kHcixEGaO6c5A/27SMQKsDx8W1t8s3/6Mqs300cxi7Pv/dmFGd3OhtmIYAaOxdmoYAaKxW2P9HBMBHOwVunu9RDw6jA0dRFmWIn5I7oN/apWzHX8HDNHEN9+EiTSgk90n1s9/vMsOLcEI727chtwnYrl0qpuwnDzzwHtTSa+lhkyErHVgyOh2XwsywaGwm5VF85K0jgo7Xnerj5rA1XPB/Jn0v0+VXCjT6uMpr+aszPoqsaO5FEh0pcJHKGaSfh7leGOYN4Hfc/Wzgx7juas8A/2fWujgcnsXU8P8pZKgs8H9goYfLlsb/KJH3jLUtfrRwxPK2Ecj4u6kUKdUQOtqSgF4A6qTWXQCz5LYsZeX/ximyRLBLVsYRfs82yWC6JAtkQkxiVaRhvjICB8w7/qsIQb69EzbFLMWahG14ptIRP8f7dm2xt8dUqvPwV/1W4rprO8BCC1tiF1YrYXtpSg6ye3wBc70wquqPNCpA/pRGTYx1ghHXahjmRLMVgpZHBuF2ex2KBBR6tub2CXi/ZyUJIOVqwn26PmglKwMavQcvfNpWzsWOWtiYMVicq/PGj8ITb22RADz1box5HKnQoJBR3LWhqiEllnZt/egGYTnmuBfXWFzPXobUwZHv2FymYQmuNTqnj3YKlJPWUOvv7gw/nBugQsaS92B04KjMGr1alsBoCIDGaqNpCIDGaoX9f5UBbbV4M/XQSF8yk/IuxaxfKetdUgd0pTpfY51gzJ9CV9C4NNWA8pjlccp+5hy0QMYQt2o9LKsiCKYGoRg3nNUGq9MSn4uwobyO9/tnyer+yYo/vAeuTTNa978wuiu+inCvNvif2TMM5nr8ikI8bz/ve/FrmooFcbs5lWcO4EhYGrdTbYF3KNYlbOGCym1RsynQX25WD3dUiopynTX08p+wtMXGtl4Y26IvovXSKLAvAMVJRpmy4DXVsALMC4CflLQI3n7S822sE0yRA550SiqLkdbYFyRG5PYMwzQsa9sNO8064ailXY1zCq5bKrmE6qaTDbbELqK+Mznwvz7hf0ykhowG2Cl6M4RRLl+EJEbCPl4C+7y5Q0fIAAAgAElEQVTYCKzsHYj7bk0oEpDnY8rtFSCUrSXvU+Ec/k2H4lT6Hmae3Uxbh9edGlTm4Xjr4qOJY8U5+/XQGErKV9TNiqkSJFQFkgPG5DbePCPXuE2rHdSWBb06Vo9Zz/butZB1aEivQTi3t34aFQWw2n1E1jkjjl2/iVFa3nt8G6YhABp7l6YhABqrFfb/QQCYKhMH83BqkI0I/ov6mUN5MJd5sFhO+oJ5GKp7mBrrBMNG6U95yw7tpb3/dxO0ueB/0yds0y9jHX6CHs/bLfxuahCKcWPla4XzxvaECFr3H+ZZ0e2XQwA+DVrJaG5Jr2lMs2F0ScWYcBR4tUG5oxb2BztUCf4/jKwo80mCJDlNtxToCr+r9COwMHEvJ2n3G1zp0J4B/g/ataloQlWFZ/mqqyvKTevijqoZLlhZ1Aj0H7e0x0JlGFQ6gZQ3nwT1UvBOJrNK7wPSe59qmIU0ozR0iIiAS2YXdJzhDpvJLvCY6AW3cR6wec8JbjM7wWpoB8R6DUCKkq4QI/xOXo9UEkSSBjI6IPx/nCILQxRp+NrED6erSwSsbVBq2QZ/mTXkEoHznf3w8eAv5b+TlByUdOqMJzYG2BE5S02C8BKY6oYyBIC8n4Su0CQYFr6HAN1EzOZEAtb08sdj10YUCfghwJZ7X08P7y42CpPKkawVEawUaPwR3O+fRc3Ls93tKJB/spcjRQK2JvVi5vaUSVPhp5sCVfNwzEhZgeUzPse6OV9j3ZyvsXjuBiyeu0H2b3IsW7Aev/yylBpnv5mL4vUfonj9h7iw8UP8+tMS5jX/+3qVeGzyHJvmbWa2CWPhnsNY+GtujcaiNd9QxyCPW1xcXK1RUlKC69evo7y8/J09tzSmseqYhgBorFbY25YA+WinQDllLQXse3+8lvL+j1owleP9z1VbYYIHxs30g7B9Owvuf9xqgtJRuigP1MLvm9pwpT9k5R91HjKenpfcl5wwnAIAH04aj6Wj02TB/+IxmXjuXulpfOWlQNnI7Xzdf7+N8G86VFZS4a8zhAFKv/qpKICUE9ROFvzPiaZlP9Iog9RbyWvsFasYgSVJ+7lgsMgzkAL+ry3qIN8vkqou8/mADfg1KIEBmhv7f4xzttY1Av6nrW2x2aQzgrTjGWAtBZ+8RlYC+O5tkIaQTv3gkRoIjymecJjeAU5zXeG02AUOC53gsNoBDhsd4PBxNccGBzgsd4TTR65w+6ADbKc7wyvTD57jveE93B8duoVjkGEaBZgFciDIiITrlkbCIvUy4KedhJ4Kb+w061C9qIC1DcpUSjw3Y5OqX1g0xs8hKVzt/6GIkdT3me8XiRXJe7jf/eIh+xCrGCF+zjygL3zmQrSEvO9U+sGYE8Xesx/36IJnzvWpe3xHV1fu/Z3sEksRKXIOzwrklNkd9wOednWnSMAWAuR/NHEclQvw1Lsx5kwYzczxkUmTsXz6ZziYcwS//3YcJ46fwonjp5B7PB+5x/PF38ntJ4+fpl6TezwfBQV5KCysHEXncnEx/xgunD6OonO51D5ykOfgjRPHT+Hk8dOV206cQm5hUc3GydOy56kO+L948SKKiopQUFCAkpKSKkmAhgBo7F2ahgBorFbY2yYARvqhaLXvGAXud2X4i+D/Ti8DmO77lSUAc7/iykzUeeOHD3XheveFwdPJ5hy0QLiPBzfKQB5bGpLnEQEzRVem5v+x6PZ46V4PBwf44T0i4VcY70+eiKNR7UWA8UfSPC74PzFsNxKaD6eujZRWRBuk4aNIGvDsDnGmgNGfLo2wppd/ldV+1On6SbBJ/ozSz8QYr+VqG3utT/gf/rRViBVltsbMF/etSN6D3wMG45VZfcBUC9sjP8SylBysGfQF8tq51Mjbf9jCAR+16YNovTRKdsNrTCaVM6UoM9CpfRQ8J3rDebFLBbjfUANw/6bGRgc4rHKA64xO8Bruj25RPdFLkUpJgEjd/Ni2mUwkI1IvA7F6qfjSxBenrar+7M5ZW+OWqiVembK5FrcdVPi67wrq+yzw7spEc2662Mh2IF6SfABB+hkUgSTvZV5Ei7z3uCVtYyPwVYQ7XjrVFe/zl0518Xl3T+497q8zhEvyzfRCkTuUTbgvG7kNrzwNxPn5zKMR5o8bKc7fL1P7UFGA0z3bMXN806ZNOHLwZ+QdP43844U4l3sZ53Iv42RuEU7mFuFc7mVcyLvCbCN/P5d7GecLC/Dw4SlqPLp/ktkmHecLC6jjSceFvCu4kHelclteEfIf/In8h0+448z9h+z2B3/KnqO69vr1a9y8eRMFBQW4fv262tdqCIDG3qVpCIDGaoW9bQlQG0+6ckSHb3fhVde6IgFYOH0ItyFYt1bDqYe/nOSH9P5LG+dUZ+yphk5W6uXnXVekXgaGxGdRD/51WQkUOPg9poNMDsA0XE/6EA9iE7ng/+zwfVAZhHHP7aOdAr+mSfhAUj/9i24eeOVYRwRFL5zqYlN3LxnwH44g/Xi1UiupR5YEa/46w7AgnqP354xvY+ahyMMfaxIrk4O/7rsSd9qZ04m9tq2RW0Pg/4OFC4YqUiiASSbeSiMbcYosdGmahJ5e/eAwxh2Oy51q5sl/F6RgpSP8M/0R0qkfjPWCxMiANCGZrDrko52CBEUGprXqi19ULlUmDxdZW+K+Odtl+PuwEUxkJqfbWKZk6FMbPWyLni0rCerTfKRshEkqOZPOMbnk9p2hLgzZXdU7gHndB70ixE7WUiKrMghD7tBdzPy7nfg+FQU4H25JSYHO9LSn5vmmtP7U/N66dSvy8/ORn1tIAXopwJcOkhScy72Mi3mX8aAKsM8bDx6cQmFeCZdc8K7nZG4R8m/dY0D+hdt/4P6VQrwuOobCu3dZElByg3v8mtjr169RVFSEkpISta/TEACNvUvTEACN1Qp722VAW6XOo8D9kux4qsOky7a9LAFYu1MWiEs90wKA6OrtWWPwn3PQAtMnOVY7wiD3d6ReBtPxd8bUKbgZaCiCghce9bFwbBaXAHw7aYNsZ9LLY76HtSKCec/CZ2GuF4z3etJe0VW9A/CnS0MRDL121MK2ru1lpT99nEMpCYYUkEmrp5BRmQDdNCxJPsAAvU0DP6myZOTy5P34LTAer8zqUUDztWkd3FYpqtWt96SVNTaahCPDME2UlwjAX/hdAMQCEfDWTURIZA84vN/+X3v3nTa0g88yW3SfY4W+71kgYYoZUieYImOsCTLHmCB9nAmGTjBF/FQzxM5UwW2t/ZsjBOsd0PH9Tgh274vBLdj6+tKIh7B/qCIFP6mqLpVaYmUi9hG45uJMVQeiKzptxG0nc4oElFvUxY9dU7m9HJYmV5IAqSSH5/0n7zffJsmyfQJ+8rcW7/kLHq24TcLmxUZgckQYovTTuREtM71Q5CR+w8zDP7uHigTgUqgZPphU2eBv7oTReOrVWJzr9/wMMHNKZR7Q9u3bcebMGZwvKhE97jzgT3rkedGASyeu4MrlszUmAA8fnsKtm6cZz7ycx/5c7mWcKb5FgftTDx7h1flcoOgYUHQMd65dYAnA/cc4mffPIwCCXbx4EcXFxWpfoyEAGnuXpiEAGqsV9jYjAEb6oWi1+zcR2Bvv/x13ehmIBGB7VhDX+9+mZYRa8M3zyL83RVIl45M2OLSPbZBDjn37K2pl88gGCZykIEFKQny0U5A+jNb+7h0cQnkF9w8K5IL/pVPm4cp4fqOva+OPYHOPT5jrIT+T8QG9KHCzMLorrku6/B4JsJEF/7MiusG3STLjgeVVJJEmwvrrDOOC/x2R7+O5lTZO+vaWBf+fDP4C153bMV7mp+aNccnKrEpwesbaFivbBEO7vpLS8Qsef+E6yTyF/kZJcFvkWmMvv+cKO7TnAPcxI4xQbqgFtKz+6DrfmjlOykRTrOnTApPT26LvexbouKbmJKHdBgc4vdcBwe59kaKslDYJycJkzkCqYRa06yvxqWlXnKoqR8DaBrdULXDGzg7LE/mN3JYNrWgods4rmJEEnfUOw4pkNiF8aUoOhrkvRpR+JvUdSZOdeVE3c71gzOzJIQEx4Tjn1Qa/+FlyqwGRI9Y1lLqvyfteZRCGK2PpOVk6ahde+Jrg3sDRWDl5HjOPtyd2o+b74f5dGAJQWloqAuRLJ2jvvjrQT23LK8L9+2rA/oNT+PN2PnffxXx5GRATEci7zAD829cuigTg1fnjOP3gEfOaswVlzLFqakJegDrTEACNvUvTEACN1Qp7mxEAuyQ6+XfY0vep5N/eH69lCECbDQdkdefq5D979lYC+8M7TfEytA7+6l4P599X4HtOx9+cgxbISnaRPSZP4y8AcWnJPvMWYZT3f+74UfjLs6EIBm4FtqQafq3PTMCHk8bhvewZKBl/SN77P/awKP0hAbgwpOU+58VGIL+LCQX+z3m1kQVDH0ZWlEeUvh/hd1KKQcpJjHWCkdByJBZzkn0Ph2ei3KKuCAAPRYxiXrOr13tU/XmYaqHctC5uqVpWWcv/rLUttph5Y4iiIkm2QX0l9b0In5FIBAwCERTVDQ6rHKsF/F3X2WPgNHPMj2uF/f56KLVuALTUQuYYE+a1yZPMagT+0VILXsttmeN8Etmcek25oRYu2TfEjhB9fJDUGjGzVHDa0K5GkYFO6X4wNgik7h2ywlGD+sqK3BG9NExqEYVT1nZVky5be3zbdZzo1f9swEYUdfbH2sRtoiTocHgmXqnqUSTgWgdXSvJFjpHd1sBUt7KnhUBSpHko0oiUOhJQVaUrQfYWoJvIHFu411f1WMpJCv4e18YfQcn4Q5iRPZ0iANOzs3E1xAjorIVy9zr4qa8nQwDKyspQfPEy1/suEAAG8HMiBafzCznA/ySeXT+B8gvH8LroGDc34I8bZ6njkOcizydEKPLv0Fr/wrt3RQKAomMovXGNjQKU3f7XEQANAdDYf900BEBjtcLe1kLaVhGGVvuPU+D+lyQ3qvQnr760ctDMKvX40m1ZQ90oYH9xRjOqRvbRTzmVf3bKN/2SizrwSIJv0xSMGzuRAgMnejtT3sANmXHivtkTxuCJpzYeezXF8YRU2XKf18YfwYzAWUzEQxgq/WDMjaZBza5QOun3VgddLIrmyyDmRIfDX2cIN5oiTY4lIwI+2ikI0E3DUqnnPyUHxwP6Mh7g3IA+lOQn1y+W8fo/M2uES1amVQLQPCtb9NdLEj3FcYosigAIQLe3QRr6+PaB42KnqiU+G9sh8gNLLIhrhV89muJZ6zpc4L5okCHzvz0/sqwxAXBezwL5g366Vf7fI+O6OOSri/eTW6PrPKvqEYENDuiU7oteilRKBpVqWPG5kRETM50grDcKqVZzsbx2LlgVvwW3/87beGirxFd9V4rf89aY+Xhmo0vdB0cDB8pGD7J7fIEo/Uym3CpJTHklRM31gpnE95qMOQQJkErfVAZhuDTme9m5eWH8fkzLpqMAK0emoDjMHMtHpdLRAYIAlJaWMtp+KQngSXOk22+UnqPA/eO7J/G68Bjw9/jrWh43CnDqRCEF8tVJgvLzzzMA/3HJWZEAPCs+xU0GFqIcqSkZ0NKqOVTSEACN/ddNQwA0VivsbS2k0o6Snpu/pbz/U2aP4cp/yNKfPLAvBeYB+olU8u+hfWZ43q0eUfe/MQP+D+RYwK6tn6zOmHceuWvpEZpIPexXj0iiwP+png7U/rzeLlRC4a2hy7kA4+eh31LdfkmJgqluMN7vSYOZDT198MKpngj+nznXx9pefrLgXwA+0oiGNJlU+poEw1GM7Gd58n6mIky5qi4ORYykXnc0YBAD/u9aGFSp9T9jbYv1RqHw005i9PwN/pYAxSmykKLMgGtsMBzWVw3647LN8VkvBcqsGlQLuO8K1meO02GNPcYON8KQyWaIel+F0AXW8Flmi06r7OC21h6u6+zRfq09Oq+yg+9SW678x+FjB3zeS4FL9g3xslX1SMTxTk1qJhHa6ADvTD9461aWum1QX8k0Oks1zEKI9mDkWVUdDbitak59jy/NG2J/9wlUDsh9h7aAhRaudOxQZT7I3P7fIavNCIaACvejlIgKf/vrDKH7XnDGouiu+N1PhaVRIcy+j6LCxSZh0hybRX6cKAAxNk5ehunZU6noHm+QBKCsrAyXz16lSICUEMgRAPLvwrwSBty/uJwrEoDXRcfw6AEbBSgrPSN7Hh4pyb/9gAL4l29dp6IA5+/cZknAuYr/T08ZriEAGquVpiEAGqsV9jYW0hflr9FqL9023m3bbqyd1Bf3eurhWXhD2O76npP8u0PWEy/nlV862ZsC9wVzW9Bdf9ewXX+/+tKyyuOqkxwJP00NQjF1KlH2MzsbV0KNqcTf+eNGiPvXZiVKGn514QKLcyP2Q2UQRl0PCXz6uLBe/S+7ueMJkfj7bRg/6XduTDjiDNOo4/IqsUiBlo92Cvx1hmFxMi37WZG8Fxfcu1Dg/4VVY2yP+pABeWsSv8M9OyMRMF6zbFMl0PxF1Q599Sq07GQ3XUEqIgDZRKNUOC13rjYoLnRqrBZk/2lUF796NMXa2BYYNdIYoQv44P1NDpd19uj9oSUmZBrh08jmyOvQBH9xIhJz45VcUhO4yKbKiEDowHCkKCuJEwmuhe85Wi8N81oFqO0hUGRticfmTRhCl+vXB8tTKu6RtQlbcbpLN6wesqNaFaLm9NsG3yZDRTIinYvk7yQ5jVWkypKADT19cLuDDuCohULP1lyJ0JSAHozsyFinojTo7yk7ZAlA2bAVKA1qg4P9/WpEAK5evcZIe+SSctUl6t4opcuC/nknXyQAKDyGZ9dPcCsCXcy7LCsvkhKBwnPXKXB/8sFjvLyQV5kMfJWTDPx3NSBNBEBjtdU0BEBjtcLexkL6w91Hsm3jTfb/hohPN7L7ciqSf3nAm5eQaqwTDD+dJOzZbVkJ7nPM8TimgQj+H/VtiJwcc4YAJA1oz4B8uQiAdDv5P/1i6FD/V0NjKe//9/19KY1wWWBrEfyXd26M68M3M6DiyrgfqKo/pPY/Ui8D5nrBsmBnRWQgLru3wHFfc1lv6MSO/WXr4kvfI0kMTHVDMT+OLvW5MmkPSjp1lpSA1Mc3fZfLgrzP+6/HfWtDXLBW39DrjLUt5rYKhJlOkHgNglyF1LM3qK/EIMM0tFstD6p52xcObkWB6met6+AnLx3MjVcidpaKK9V5F8N1nT0GZ5tj2QBDHO/UBC9baaHbHFYCNGC6BcoNtfCjtw4yxpqozRlwGe2FBo2UjNSLJASphllQ6QRik7G3vCzI2ga3LZozJKC4oxfV3K0mo5/He8y8JAkAeU+SkqGKHgHs/X7BoxUli9sT4sQhxZU9MEgC7KOdgiDdVFwcfZDtEtxvGF53rAN01MKLzvWxgCD6DAH47juKAJSWluLkCT7IlwJxOU/9hbwr3CjAy0vHRQJQfuEYVwZ06dyFKiMO5L78B48pgP8HlQyci1OS/fk37+Jc7mUNAdBYrTUNAdBYrbC3sZDOKb4uSwBkx/ItVWr9pSPU04sC9nlrlJT3/8zClgz433+Arfwjl/irTv7j2zQFU6dMFR/yM6ZOwR1/hQj+H/noYNbkytyAbYk9KO//gz7JXK/iuqAVaqMgme7R6rXNMeFYEMMvk5juFyZW/OEBfRIQSkHYMPclEs//Hlzu2IkC/4/tWuCzgRupvAAK4CXvq2jqpSbR96y1LT439kGsXipFgKQgtZciFV179kLrvhZwm9uBAbm+S22xqm9L3DWrh14fWTL7QxdY455pPWwJN0D6OBN0+AeVd97F8Fhpx92+uVszitBcs26A2YlKdFrFf73ZKCuExoeha89e8NZNpEimNPoToj0Yp9Q0Ertm2RblpnUoEnDTyRbrErZwQf6K5L045xWMr/utZPYtTtqPKP1MSvZGJqNLvf/kHB3Rvh9zz6/sHUhFxp471eNK4yaHhzE5BsKxw5ul4aokV+fmsFXUfD7dg20ANmPqFOxIiMCZDYsoAlBWVoarl65xy4HKaf6l1YIu5F3B6WMl2HX0GLb8/htyTh3FnXsn8eQWHQV4cpONAtzklASVizxcyLuCU9fuqE0GvnKzDBv3HoC9qxsaNmoEIzNzTJk0QyMB0litNQ0B0FitsLexkGacKakxAWg94D1Z/b3c35MTAilwfztJWwT/f3Wvh4P7We//4vn2jIe/KrkPb/8gR9rjN3fCaBSHm4sEYNuQ7uK+9ydPxCNvHREsvOzSBtfGHGATC0flwL/pUCb6QCY9zon6ZwmPUyPCYKrLelTlfhfOH998OEZ5LKU6/K5I3otLndwp8P/QXolPBn8mvubnkBSc9u5eSQKSdiPf3kmt1/+UtS1CtAdTtftJIBqpl4FBhmnoMMlLtqJP8EJrfNlDQUlnvuqu4L72rXn5NzrAcbkTXCZ4wGWua9U5Cf9yuKxvh/um9bhSpocmdbGqb0u6+pD0s9voALeZnZFolErlV5D3SoB2Io6o5L+/YiszvPi7i7Mw7tkZMV2BVyTvxaXOnoCFFp5Z6+LL/msYEjA6cB3imw9nyAg5/6RJu3GKLETppzO5MfNiI7AlrAMVBSjt1AzzJVKguTGVSfG89WFbr084vQHCKBKwLiuRWg9uBzQHOmuheM2HKDyVTxEAsiQoT4NPkgPhp1C159zxy5j46S9wzt4D0/E7xeH23m7M2fUjnhVVEoCXl45zZUAn89hEYNlIQN5l5D+kOwM/uXRaJAC/7fkWjbW10drYGFnTZiB9SjaaN28BaysbDQHQWK00DQHQWK2wt7GQDj1dXDMCkFOZ/Cv1SqsjBRlDKqv//LzZmPL+F09rxu36q67uvzryQe430QvB6JETGI/ftGnT8En6IJzq5YDp2ZXRgcP9fCigcDtxFtf7H2HVjZEgCN5Pc71gTOtOe/Y39PSpFvj/KCoc0QZpDKjhSYxIeUWUfiamd/ucAWgb4jeLCZ6w0MKDdq3xsQD0UnJw3L+fCAJ/D4zD8oTvcMrOQS34P2rZDkMUaVwAKhCARMtEWTAdsNgGX3VX4IWS1cw/aVMH7jKe85qOdhsd4LDSAQ5zXeGy2AUOC5zgNMcFbnPbo9MUT0RE90RSmzSMbZspSpVSlBno4zkAgf3D4TmzM1znu8F5rhvaz26P9h92gPvMjnBZ4vKvuhD7L7bB4kGGsknNfxpVEAG1n8NGB3j3D0WXpkmiDp/8HqL10jC/lb+sJOi8tQpP/24cJoxHNi3x2YDKqNDBiFEUcXxiY4DPBn7MRgKG7EOAbhoF9KWyNZIcCve2Sj8Ys6NYnf8JSXnc7wPtmNdkh/WAqW4wNR+E86gMwpgoQNmIrSh31xbn9dVgo8oOwdnZuBbSViQAF08cx/XSa3QUoOQaLp24IgvEpWU6T+YWIfdYIaIWHaKAvzDM/v45eOUBvCg4KpKAP++wfQHOnzun1vMv3XaqjO78W3rjqkgAegX5oVHjxthzplDcv3X3QdSrV09DADRWK01DADRWK+xNL6RPXpbD7HC+CO7jVi3AzA+y4LptjywBaP7ZLjSor6zRaNxIiWXLTEVwf3mCvgj+ywO1cOQ7E4YAeHm2qfF5eCMoqJvapD8qMjB+FJ67NxBBwl/BztzSn5dGH4J2w7bc8zVqoMTE8EAKrGz926uZ52OKxTKlPisq/oRBt/E/e5/dO6TLarU3xG/GbSdzPLRvRYH/fJ9ICgC+MquPczbqq/zsNbeCrrpr0VbCfKI12m1kPfadV9lhdZ+WeNqGX77zkK8uEqaYwYHzv9UZ9uvtYbvCDmYTrdEy3AwNtP/9/aPufbYMN4P5BCvYLLWDfU1q//89nDa0w/DRxsjt2IT7edw3rYePhihlcyMcPnaAzUI7NGgqf52G9ZU4JSPjKrS2wmPzptQ9cCQ0jZKFne7SjSIBj+wNsTHuK+YeW5JyALqNLWv8OeprK5n+GIuiQ3HPrYlIAF441cX6nr7MfAlzdJE97rJu7zPz9kGfJIrcf5USI879jRlxIgEoPnEMj4rPUQSgrKwMhYXncfx4frXH+E+PcMG/dCz++nuRADy/msv2BPjjZI3Om3u2iCIAZ+4/xOuiY3h+7ndoN26M8MhIan/u2SJ4eXlrCIDGaqVpCIDGaoW96YW0d955Ctz/nNReLP25YUIslwBoe3Sr8UM+Ls6osvTnXjO8CK8rEoAbGU0Z8L99hxkaN/r3IK1pEyOq6VdV42hUewog3By2muv9H+eTKXvObk4uFEhZEhWCR66NRTBzs4OebAOk8HbygEY9iLLGkhS2yy851iZ+Wyn7ScnByS69KeD3wrwRiq3lu/qetbbByBam0FZ3Lc2UsF/PglXHDe0wOb0tbpvXZ0DuK0MtbA/VR4/ZrPa/asDfDlazbdEqyhx6jsZo8AbumX88Gimh52wMoxQVbBbawb6GkqWB08xxpIsOlwj0n2GhPtKxoR2U0eay71+3vhL7zK243+s5a2s8NK9o9HY0gFP/P+UA0zX4jqNZZUMxYixK2gfthiY1/uzS/bpwKmV54DURBbjaWcHMmzkx4dBuKPOeG5uwHYLH7McrrxaV0T2/5pgxtTL6dzHcQiQA5eeO4/q1a4wUKDe3emD8t6Mn4JS9u0rwbzZ+J9rP2C1GAeQag+XlVp8AHD+ejxP3HuIEAfIv3v4Dh4ouQktLCynjJojbTzz8E7mXrqJ//4EaAqCxWmkaAqCxWmFvciF98rKcAvbO3+1DeWgdtbX/lbt+h5F+KCO9UVeKM0A/EXv3qkRwf2ZRS0r+c3xja4YATEkI5Mp5pGUF1SUDG+sEY2TqxGqD/0VjMvGqU10RHDyJ8OeC/99TdsC/6VA0qE+XZhR0/1JvZp6PKSVn2MupbDIvNgLTwrtRSb+8vAdpIqWxTnBFoy9pAq+6kZKDE77RFPh/btEYxVby4P+0tS3sdPyZikRxiormVL0N0mA5oCNXFuO13BZ5HeUMagwAACAASURBVPge7l3B+oiYW81GWcJY74DOkzwR0qkfehukiRWHhOsSfs9SVkh6xrbNFCUpWcqKv4XSpGSTMkECJHzek4wyxWNnm1SW3xTkNkKVI+F3Uu4ytm0mRhunw90lFt3iusJpmXO1JUP93rPArx5N1fY0kB2zXeCtm8iVZSUoMuQlQdY2uGbZBnn2zliWzHaMXp68H8V/5wKIHYPbO2NF8h7mtQvjd8OvaSpTnla4X6W9K4x1ghFtkMaVAuX6mFFzZ1+wI/OaTPfe3LWnQX0llgayvQHuDhpHkfxtiZX5P2uHDxEJAAr4UYDSa5X5AGSSrzQH4LM9J6rl/RfGL9//rLYk6B83zqrtASBtGHa65A+m5GfO+WKGAAhjYEqqhgBorFaahgBorFbYm1xIl1y+QYH7yXPGiuC/PLQOnL7bxyb/Dpktm/ArN7InOlPg/vs9Zjg7vwUeDGyExzENmNKfq1bYwkw/SK3OnwQT0m3Cz6CWKZT3f+aUySjobotNaQMqtb/EWJuViNt+zYGOWnjdqS5uZH7OgIfzo3IQq6gsaSklPyO8Iilwsqm7F+XFvNy5Odf7P7Nnhe6f1PhLq5vwyiv66wxjGn19GzMPR8LS2ao+Q/kNvp5baOOitbks+D9pZY++ehXnn2mWLgI6ARAPaJMCp2UuarTq7XCsM00AfnNviphZqhqBfrdJHujl3h8pygrQPckokwHxJEgnt5E5GmSlGoEMCOCf7FsgAHuBFAiAnzwOSQLIWvhCTgGZED3SdBiCo7vBcXn1yEDyRFPkt9dG0EKZngZyMqnVDhioTBWTb8m8DB/tFKQrEnFGTZWgfHsnLEtiG4GtTNqNMjcHigQUeIVw77P3+m2GqW6o2qR1ktRG6mUgQDeRKQ26ODoUD121xfnz1LkBlkcGSWRzEQjUS6ByCwQC4N90KE5n7aHn8dhDeOFrIhKA+1308d6UyeI6cPLjpSIBKD/H5gKUlZXhQlEJtwQnCcA3bD9VIwKwM+cnvCw+jqc3TnCbgj14eEokHurKgZJkIP8GXREo994jNNbWRteoaIYAeIeEagiAxmqlaQiAxmqFvcmF1Pe3Agrc/57oLBKAn5Pas/KfzYdhpB/KfZDLRQHM9IOwa7s14+EXycAuM2ZbZIiHLLlQVwGIHCZ6IZgyme74uSMhXKz6UxrcBrMnjmFIwIwpU3Fr8Dg8jIlnwH/J2O9hrYgQ32eD+krKK6/Sp2ubz48Jx42O+iJ4eelUF+s4JQ3f79kN5nqV3n4hkZL0RksrDMUpshDTbDgWJ9He2k2DPsUza13AQgsnfXtiucSbeyQ0XSL7aYhiNeD/kIUTVDqBFEAWALC3biI6T/asFpjtPscKz5V1UGrdAFmjTaqn8d/oAOeVzujr0xcZbSo9yZOMMkXATQ4BeJOAN9uk0tMvbBeiApOMMimCIDQrI7eRHn7h/Qvni1NUkBBpBR7he5MmwZJEYkCbFLjNdf3HicTJE03xi2dTBC6SIQcbHGCs9KXOSZKdEO3BOKWmcVi+vRNWJO3GhvjNuNipC9bHbxZlZPccjCkS8HNoMpdoDvL4oMqqXdJIXozZgCqrAvESgufGREClT/cFEAh6qP4wlIz5nprLd+KnU1GAHfHh4hpw4H9fiQQABcfwsLiQjQKUlqKQU/aTBOZf7TlTIwJw8OTv3D4AdDJwgdoKQMzIK0J+Cd0czL9bdzYJ+GiumARc/vp1jZ4jGgKgsf+6aQiAxmqFvamF9EX5a5gQyb/O3+0TwT9CtTB+3kSWAExaU6XnX0oOwrw9ZcG/3Ahy964yyiAn+REAQPeuCTSwnzoV9/wMRAJwPVjJjQJsn8SWDxTGxC7ZjIdR+D1OkYWpoT0oULI/2IECLj/5W3OlP1HGg6hoBglieJ+psU4w/JqmYlEi7aVdPWQH7jqaUuBsT69scf/eHlMp8F9uWgclViYyXn9brDEKh592EvczTjVJheNqRwZ4Om5oJ1v7PmmSGTpWp37/Bgc4LXRGf6Mk0ctPym4EsC8AcRJgj22bSQHdLCXtpY/UyxC7FJPSIcFjT8qFSPIlkA7ByyzsFwiAcF0kSRjbNpMbVSAlY/EmKWg/p0ONiID7SjvcsKwvlg0dNdJYlkA59QsQqwSR0aNIvQwMUaRhq0kn2SpB52ys8ci6JWCqhVuO1lg9ZCeWDT2ITwdtwlMbffEee21Rh9tJemlKDgJ005gGdtLeFeQ1+TZJxvu92QhZkacSD121sS2svWz+zKyIHtSxyPkZ2y6Vns/jDuO5v0okAHd8FeJ6sH37dpzPzxUJwKtzuSgrLWVIQMGZi4z0hiQAuccKmdKfsjkA7+3GnXus1186bv9xmiEc6noRnMwtQv65yxQB+Obn39CocWO0bdsWo6ZNQ/qUaWhuaAhrBwdoaWnh0ctXNXqWaAiAxv7rpiEAGqsV9qYWUmn330lzx1HyH4ftBxgC4ObJ1v5XB9DN9IOw+RvLGoH/77ZZwk8niZENkKBJThYjDN+mKZgyhfb+f5MSRXX9/SYlms0DyJ6GkvGHuOD/ytjDUBmEcQmAj3YKbJrR2v+lUSF46tJABP/33JpgYXRXTtWfcJjqykskpPkPwhjXYyMNuFJycMHdhwL/Z73DRHnGlthFeGXWgAD/dXHF0ojv/bWyQ4B2ogikpd/DQGUqt7yn5wpbHPbRRW7HJjWq2e86tz08p3jDa4oXwqN7YJBhJWgUtPcCcJd+3wLAJjX8pF6flPcI0QAyCiAQBBK4C+eS5jmQeQXC/5GRBQHwC/vI70saVSAlRUI0xa9nD7im+yIoPQiOM9lmacLYGNWcyaX4qrsCbmtlyNWyCkkQ+X2SkZzlbUK598F9cz2KMJZ06CxGlLbELsQrVX3xXit1c+JKgRYN2QdzvTAu+JcjuUlOscw8WR4ZjEWc+SONAqQaDxWP1aC+Ujy+mV4okxB8J+E9vO7cEA97R2H+uJGVToDt21Fw+qRIAFBwDPdLzjME4MqVa2o7AJ/MLcK0TUer5f2fu+vHKsG/IAMqzC1hgL+6qEB+yQ2KADy4UojDn61G+3Z2aNiwYUUjsIVLMHTCJGhpaaHs2fMaPUs0BEBj/3XTEACN1Qp7UwvpkNOXKHD/Y3JHkQD8MsSV9f7vP84k/1Y1MpPdauz9z57gzIBfqbaXRzxIoNzJXgLus7NRGtxGBP93/ZtRdf+FsXDKbFnvf07CV8z5BQJgqhuMDyJpr+QxX3PK+78lrAMXtAz3jJIlUdL3L4AmO0VvJun3x67DKPB/3bUdlaC5aeDHuG/XVgRz1yzbyMo/PmoVQsloSA97olEqHNaxIDNmlgql1pU17Vf2a1k9ArDOAYMM0xjPuAC2SQJAgkcBsI9tm4lskwwqGkDKgkipjwCApZp90nMvJQRkwnCqYRY+ME+jQL60wRXvGsgkYZIckBIkMoIRqVfROZn3OQsRgG1dDRgScMa1MYLl8gXWO8Cz2WBGmmSsE4wERQZ+UrlwqwM9NWtMkYCTXXqL99T3ESMACy0UeQZiVdJO2aTzD/p+iyj9SvJBRs2kxNZYJ7giCtCL3x27qjE7KlxMpCcjAD7aKdjSdwMTBSgbuQ3Xxh/Bp5OXUwTgzJkzeF6ULxKAl4UnmCgA2RyMRwAu5F1R2wdAGIPW5lTL+y/XE4AXfSCv5dSN+xQBuH+lUOwJ8LT4FJMLUPD4aY2eJRoCoLH/umkIgMZqhb2JhfTB81cUuLfZdRgvu9YTCcDU2aM58p+1aqU/Uo+8mX4Q9uymvf/XRuviZnpTnFil5Hb93bdPRTX+EjyUUoDPyzUgR/dgWv6zPiuB8v7vjA8T982dMBonejljxYhUFI/P4YL/q+N+ELX/vAhAX1e6rv/aXn545VhHBP+X3FvKeCzD4dc0Se1nyVZLyWKSfjf3XYZXqnoi+P/TVoEN8d+wZUATtqLU2RE3LA1lwf+3pp6I1qts6ETq2T2bDeZ6/scON8Kz1nRd/zKrBlXLfTY4IFOVjGwTFgBLZTwCCJcO4RpJyQ0ptSGBPunhF34K5EE4/0yzdFF2RAJ9UlokyIHGts3EB+ZplMyIJCPCvSvNCSAlQcLxyNcK33+mKlltV+IxI4zw2Kgu9bnfNauHuGxz7uvbrXdAzxYpVNRCuKczDNNwwsqOuR+KrC3xnIgcwVQLh8JHiffUtui5ssnm5BjjtZwB/VJZEEnsKxKC+VKfqkZf11BqfgrHtlZEMM3BxPye8YcwLZsmAPdKLvwN/vPw4FKRrAxICrqFZGAxMnD8MiZt+hUu02g5kMu0PZjx1W9c8P/kj3y8uJKLF1c4PQFunmXAPy8BWCQAkqZgl29dFwkAio6h4B5NEE4+elKjPAANAdDYf900BEBjtcLexEIa+Ps5CtynLZ1F6f87bt0p8f4fEzv/qpP9kCPU04sC94f2muFlaB2x9GfJZAOGACzK9qCAgLrkQbkcAGOdYKQNHU0RgDM97EXw/9S7MWZNriwN+kNfb1EH/LSrB66NZSVA2wZ8yr2WBvWV8GuaxFQuOefVWgT/5Y5ash2A+7qEUtcvJ/cht83sRTdgWpP4HR7aK0XwX25RF1tjFsiW/8yzd0YBpynUWWtbzG0VCD/tJEa24qOdgv5GSaxOfWM7rOjXkvFE/+ilA+/ltlV6/j2bDWaq9BjrBFOgnPTQSz34pOyHBNmkPIeUAAnAnawcRBIGEriT3nyy+o9ABoRjk9dEdhMmSYuUdAjHJyMIpMyIPNdAZSocOLkWwug6zwoFzo2pz/+Fsg4mp7eV/dwHKlOpXAZhWOsE4AwnH+CilTlemdalmsX9L3ZJ9cvO/p0P4K8zjIlukZp96Twe0b6fWqD/ZTcP7Ax14RDrCJjrBYtJwORxf0ncJhvlWz5lHkUAykpLcffyRS7wF8Y1oiSounEu9zJOHyvBZ3tOYO13J/HZnhPIPVaIk3lFeCAB+M/KTojlQF8X8nsCnDpRyE1A5nUJzi8uowD+6QeP8JogAKU3rjJRgMc1yAPQEACN/ddNQwA0Vivs3y6k0tr/rQ6dwLbhISL4Lxhgydb+n76xRtIfY51gpCfR8p9TSw2p2v+/b2rLEIAQTy9ZwC9HDKTA3NQgFFOJxj7zx49EuXsdkQD82NdT3Ddr8kQ89WxcSQDCvPjJv/Yzue+xQX0lkjxpXfL8mDAUeSpFApDfxYQLXmb2DIOpbtXvlZS/8KQ/hZ6BlPTn15BEWRC2LXSsrOd/gxFdhYiU2Xg2GwyHDTSQdFlnj+9CWRnK6r4t4aSmI267je3gMLEjeilSKeAuePOl1XdIz7kArD8wT8NMs3QRLAvgXgD4Us09mYwrRBt8tOlSncY6wVRiMOn5JyMJQm8A4f+F1wiAXyqxIYkKGSkgX0tWHyKTnoXXphmlwepDeULVfq09tofqM9/F8v4t+dWW1jnASz+ekl0Jn4GDjh83KfiKpRFeE1GAx9bNxcpAPKK5KmkXs/3Dgdvg22QoFdWSSwoWpEDTurNRgPU9fXHRwxBw1MJfzvWxLCqYldZ5RFI5OsIcUxcFKB6fg5mTJ2P3t1sqCIAM6JeO83+XBJX2AxCiAFUl6d4oLaDA/eO7J0UCgMJjeHqD7QlQdu2MrOafvI4LeVeQf+I8A/AflRSIBOBRSQGz//6Ll9V+pmgIgMb+66YhABqrFfZvF9JVV25R4L7tgaN40ENHJACLpiUyBKCN5zCul1rdWLvQlQL3t4Y1FcH/kyi29v+OnRYw0w/iynx43n65fcm9x1Le/8P9fUTwX965DhaMG15ZFjQ+gioFeGso2zSoePRBmOmFMufy0U6BdkMl4/0XxmfdvXDRwxArewdyE3/9dYZQgL+qxEhT3VCm5OfenlPpxkwdXLHs727AW2IW4vuwEaI8Y+2gL3DG1p4L/o9btUOCgm0cFamXgR6GSQz477jGHj960x1rn7Wug9Fy1WgIyU+DlkrKM0+Ce0FzTybqCtsEmYwAkkmALQB84Zql+4W/SU8+6Z0XSIEA0LNNKqQ8JIkgIwPktQvERUoESKAvEA2SWPCIgiAnklY7ylJmoUEjJQL6hzHfBRmNmRffCuWGNAnY1Ls5//WrHeCtm0jlOwjXO1gvnksCbqlaUlKgq25uWJ5C35NrE7bigrsPrnRoz5UGDXNfTOU8CJ+pcJ9L5Ukq/WDMkUiBvuzmQeXX/O6n4kYBtBvSEiBh7BvwNTPPy0Z+hwexCfjTSwcnPlleIwJA5gJIk4IFkH7pBF+qczK3CKdOFDIA/2XxcZEAvCw5zuy/f7+iJ4AcwWDIxh8PKYBfeuOqSADKzx/HqQePqP1Xnv5V7WeKhgBo7L9uGgKgsVph/3YhnXGhlG7slXMcURtWYeWUgSjqZ46ITzfSBGD3b2Lyb1WgXPhdpQjEvv10469XwZXyn0tTWfnPtIlOsscnt8md31hHqP1f6f2fMXUKHvnoiATgXHcbKjH4D/8WIvh/HmCDaxzP4NrAFaJUQgomBnbq9I80yrFm/SngI02GJKUZwt9pHkspILU+fjOe2uiJ4P+ZtS42xn0lgrDH1i0AUy0UuQfg434bcMrOgQv+z1jbIlmRKp6PfI8D2qQwgLPzKjsc70Q39bpjVg/93rNQD/5XO6CHYRKlyybBsgD+SDkOmWgr/E0CR7IfAJno66OdIgJ4YVtfRSp2hvniSpoJ7o4yxK3hShQPNcXFJBWKh5rifJIFSlJNUJpmjOJUY5SkmqIs3Qg3MlvjWpoRyjLb4Gq6EU7H22CmYw/EGNDaf1KmlKWs9ORLCQdJPMi8BKkUisxniFNkoUF9pSgJclnkJvs5Z402EfMxXrbSQtYYE/nvZE1FJIAkYcI1zW8VwO0W/MhchyIBvwYliPfkV/1W4U/b5uI9+X34CK4UKKbZcEryRRJf4T2ThCDLoxczh4rdW4oE4IVTPayQNAebFxuBfp07MdEFY51gpFtPY+b5w+hB4lpwcfWHOHv6dLUJgLpcADldvnT7rZunaRnQ9aplQFfOXeQel1sK9MR55D/8szLR9959Kg+g5NYNJgrwsrx6eQAaAqCx/7ppCIDGaoW96QgAMw7mUX+bz97G9fCr0+fPneipVv7z2xe0/GfffgsE6CdWC/jzzif87GQXRXn/v0yNpZJ/P00bIO77OH0w5f2/O3gyAwqKRuSI3n+mgkmLDMyJrnmS4tyYCMQ1z5SNaEjP46OdAnO9MEb68/mADbjjZC6Crb09p4jyi+KOnhRIK7NszQX/Z61tMdIwifJEC0CQB/7dV9ohv702Bf6v2jRA2DwrtV7/gIFd0aVpElINK4Cs4NEXvOOC150s1UlKYMjr4pXjJCMFqYZZ6KtIxf+C/VAwxAq3Ryjx10Q9vM7WA6a9uVE+VQ/3xunhVLwVdnfzwjK3KMQYpDGfIwlsyYgHmUNARgGE/yWlWJF6GeLnlqXMwuAWGYhICJXtHTBgugXumdbDhEyZPABJdaAehklMnkKaYQZ+VDkx90yhtRWVFFxuVhdf9Vsl5qM8smsp3pPPrbTxyeAvGBIwNfoL2TktJQRxiizEtchgIm2fdvemogBHfS3YikDRYfBtkiweVyC2ZnqhKB5NNwYrG7EFrzvVAzpqoXj1hyg8eYIB+beuXsbjiwUVeQHSkqAl1yjwTcp/qtO0q+jcOQrcP7pXtQzoetmZKvX/5M/80j8ogP9X8UmRANy5eoEhAEV/Vq8akIYAaOy/bhoCoLFaYW8iB0CpjgBIyECblhHVkvwIw0w/CDt3qiiAfzNdvfxnyQI7tceU0/xLf+8paf61Jy4ELzzqA521cM/PANOJxl9nu9uJ4P+VpwGujaUrAF0d9wPCm6XJgpMED/U1yeVGdpdYWa2/9P0I+9OC+AmXK5L34GjQIBR6BorbDoaPosD/Q3NdbtJvgY0t5rUKoCINAtiON2HBv8PHDuiwxh6/eDYVwf95x0bwW2IjDy5XVFSdEYC5QABIL7i09j4Jlkn5DZkvIHiGSelPsmEatnT1wZPxijcO9qs7Xk3RQ8kwYyzp0BtpSlriQ5IaUvpCEgbS6y1NbG5QX4mZZul0dSTbBFlJkFwzNrnE4EGGaeJ1CtcdoJ2I01bsfXPJyhSvTbXw2lQLvwcMprpNfxc9m5KlXe7YiZECLU3JQZA+LXsjybyQGE3O8RGekcxcuuDRiooCLI9kcwG6mIUwcyxSLwNrg1YwhP9JhL9IAC6eOE4l//554axYEvR50UnZzsByOn91ev2TuRUdex88UCcDYqsBPXhwSm0ZUun2/CI62fePaxdFAvD84gmGAOQ/fIJX1agGpCEAGvuvm4YAaKxW2JtYSKPyLlSPACz4WtbbLxcJCHL3psD9wX3mkuo/+oz8JyPJTdbzL/XeyYF/U4NQZE9lO/t+OGk8diSEY2tSz8rSn+NH4VWnuiIBeBg9kAEDPydu48oHKjzywYxH8nc/C3zX1Q3z1ZQuFKqTUJEERRYDgsgRqJfOeP95SZfLhh7EJ4M+x3MLbRH8P7NoiiJrSy74P6JywAhlJfAUCYgiQG3pyfZr7fGTlw4KnBurr/SzzAFJbSqTdaWebAHcS6vkkCRL8HgLYPgD8zQxUjC2bSYy2qThu1AfPB3f7J2BftkIQbYerqUb4ROPHhjRJoN6j6R0SCpr4lUoylJWEACSGAn7jRUBsF9WTaD/sQMCF9nAkZOk7TzfDV2aJonnF6IPA/USufkA11VKXLIyxdpBXzL341nvMIoEiNEpYixO2o/45sO5RFgK2CvnHD23pFGAX/wsmTk3JSSCIRg+2inwbzoUF0cdpOb8HymLRQJQfOIY7pVcEAH+/ZLzVGOwW1cvMyTg0pmrlKynOp5/0kN/veyM+mpAD1gZ0KWCi9zj8hKQ8wvojsDFf9ykZEDn7t5jCMAff72o8nmiIQAa+6+bhgBorFbYm1hIn7wsR7sfT6uXAG09graKMC44lXrpyBHdtTMF7vPWKCn5z9FP2zAEIJRT/UfqCeeBYwGkGOsEIylxOAP+5caBAQEi+H/dsQ6uZ7FJgYv8llKAgZQlZHlEUyBjY08fEYTcbd8Um7p7cQlAvEdX2fdHeraFfaa6oVg8ZF/1Si2m5OCqmxvl/b9sZcwF/6esbDFEURndEKvAGATCYXXVINJtrT08V6jxMC91FKv8SDXwDeorRfmPNDGXlL6Qyb2kbGZEmwzMd+2N2yOVNQP943WBIU2AyMZAQCOgYwNgtA77ulhtoG1dwLweYFcfaN8A8G0I9GgMxDWp+J9s3RrLhfZG26OvIpXpMExWMJKWFv3APE38bISSltIE8Ui9DPQ2SEPHKZ2q/N5iZ6lw16weNkbxE4PdJ3hjcAu24/bKNsGy1aPy2rkwHv61idvwxLYZ0ZeiOVYP2c7csxO9lzPSN3KeSef/OK9oZk6RuQBPnRtgcXSohHRXJNxLcw6MdYIxyUeSCzDuB7zwNREJwF+Ep/966TW8JgjAo+JzDAEouUTU/pdpyiUn0eHJgJhqQDdZGVBpSSFzTPJvKvk4rwj5DyrzAE49eIzy88eJcqDXGAJQna7AGgKgsf+6aQiAxmqFvamF9MnLckTnXUBrKQHIyYVywdfw1mflL9UZm9Y4UuD+6lg9Efz/1b0eI//ZvVsFM/0gtXr/qiIQpgahyM5mvf/ckZ2NO74KkQA8C+3ELQnYyyaZIT1xiiz4NknGnGgahJz2NhJByEunutyExDnRFU2/SIDP0/6T21I7L6YAk7puqwcjxlDg/45KIav7D9EeTMlTIvUy0KVpEhznuNCgcGM7fhlJdWOOG5LapHE93oIESJrwSkpeyARfUpM+qm0afurjjFdT9KsG3VN1gZSmQNdGgGN9oEUdoIEWO5Kbsv8b0Zj/WnLo1wFs6lUQibgmwJTqEYLX2Xo4k2CFrLapTC6DNM+BjJCMbZspSqfInAhSLpWizIDzHPnk4Lhsc6pp2EdDlPwIT0wI1acgUi8DCYoMbDJl8wGEsb7/x8z9uK/HZCoKkOcfw00ITmg5kiHCvGifj3YKog3SmMibtCLQwSB7ThSgBzdqGKSbypQEvd8vXSQAKDiGm1eviAD/yYUzIgF4dS5XtjOwAP7JkqBVRQAu5F3hyoBeXayUAfGaggnlQEmPP9WETBoFuEE3BXtcchbPL57A3avncfH2HwwBuKWJAGisFpiGAGisVtibXkifvCzHqiu30Dp9IVr3m0E1/KqO5If02KkUgdh/gPDu55jjaa/6IgEoHanLeP+nT3Kq1vmk5yU9hMl+o6sH/qdNw/rMBCr5907CDLYr6Jjv4d90KPd9RpkMpMDFisggvHSqW2Xd/0z3XpRHvKoESH+dYbT0JyUHVzu4oaRTZ2wa+ImkItD/8MxSVwT/f5k1RKG1FReszW0VSAEtAUx6DAhhwOCcBCU2d2sGl/XVIwGOkzojRVlZ+pI8B0kAhEo90uRYUvMvANCMNmn4Jdaxam//JF0gRhtwrg/oyQB+6RigzR4nrFH1/lcYDbWACTWLCLzO1kPh0LZIVaaK1YKEe5osGUqSI6EKELnvA/M06vXeuoloP68997uJmaXCnwQBKDfU+j/2vjsuqmv7fiyoVJFYiPSOSrEriohKE7CB2BWVocNYEUXAJCTmYYvYjS1NTaImRk3XFPPykhd7x4oI9t4rrN8feM6cc8+ZgXnvm8Sfb/bncz7InZl7Z+7ci2vtvfbayMiSOAStqWoKJvI08r6CTdX4zc1Xek3tb+mHRUnfY038x/i2Tw69Xsvat6EE4JlbHXw0QiQKBQM3Cve5rC+FvI8pwX35eysuEuc7WtP772ZbU0GGR6R37H7Isf6V9LnCDnQLTi3/ByUAbKb/2tnTnAzoaukZoQpw8pAovSH/PrNPtyyIbL9y6QgH8B+V76UEoOLELr1TgXVVAQgpkM0EUNp/KtcFYwXAGC9BGAmAMV6K+LP+kBqa6ZcB2MTh2gUtFAAAIABJREFU7Thw/8+NDqhk5D/7lzQTCEBMWOf/6FjstompORzIXzY+CTOnT5XLf0b0ouC/IsBSaP4ty96JDUNWc1lIFrC/Ed6PAxe/9vDgMpCr+nWXZP+jEGyuFsgLC27IMQjoKhjID1naFlPAgKm62Bozkz52NCCM92d3t5MCtd/dfTHGpup4BIQ7WITCoWmw4CiTmu1EPeV/7WKOztU0lXbK7kLlI2zjq3ICL2sDylYICOAnK9s+HTuiA1CRV0NgnWlRc8DeuBbgWgcYbSbuJ8EMCKoHdDYBWtcFPOoAzWoDDXTsz7mO/P2kmFeRkmqIwNboAPQw17rwKEk1AcPkvLHnk62yEBLQzVyNoNcCpN9RYo4znjTTOjjdt6uNAW+7i89d4YP+NtppweQ4Iaby+QBHPb1wqH0PPHY1xTPnOlg7fNVzp6pVqHCrTa/bMx0DpFUAD+s+nOORrBpI7o24RqlCL8AXEW25e3BzRDvhHszwHyrdf2SjNKEKcOK9lZQAPD22V5vpLy/Hs2N7KAG4d/KIVAakzwpU5s7DZu+VMqB7V/dzfQB3r+3X2Qgsa/yVrf2XrusF/RxBuHMfFdU0AhsJgDFe9DASAGO8FPFXEwClTEVXVj7INAnvrfYUAP7PW5xwqKgpLmgs8ONXzsLjIZ0DBVDPAmRdmX/yfEerMOTm5lKA/1p+Pm51t8KTgLo40rcF3h2XIJCA+ZM1uD4oHrcGJwrg/9yUn+FpwzcOkmMFm6s5CcK8uN6427o+BR6nOzeRZv9zusYJMh/ZuST/Vmb/Fyd+h+u+jhRI3fe2pprqjYMWcOD/pmtDnX7/nhY9BQCUZp8mNP1GzvbAbQdttvhJMxVGzHDR3RMwrTMcrEIEtx5W40/+rZSyEODHNffaqfEoR4/UR5cG36E2D85NVYBbnSpAH2cKpJvXWK4jPeZ4i6qqQa/6Vf0BlioguJ5cgtSoVtXjXesB4yS9Bsx6OK0RfBt350A/Ww0gzdNswzBbDSDfKTnvkxzS0XFOe+l3lZtmJ9i4Svs5Cv0xwDqNEgBSpVjWPES4tk55uHBTgs+1bUv7Ag50H8BJgT6LmydOCB7yOeeExEqCyGdm75vXIvtw99fcuN641dYU8FWhwleFf/bwFO7Bf8RWWYKy9x45zh+pW7i/AUc/3kYJgDLTf/fUUbq94thuqQyoWDKMSykLMsQN6PG5PXhwaZ90FsDt2wdx4tixapuN2XXk2PkaE4D9t+/j9lP9U4GNBMAYL3oYCYAxXor4KwhAdRl32XJuGIKvv3EVAL6+9c034vTfmhyPBQRK7/8VmrGc9//a1KECAZiV+5ZU91+WvRP/Tv1CyM6TY2Z1jeNAxZaINlzmcUOkOBis8Ln2v7rqBksAXu/LO6vsiJ7EgSh2wNLpDl0p8HriUg8nPN2kBGBpc95xKKWpBgOs09BaoRtv/25LHPetz4HEGanNdYL/NlkByGiuBfMxVhlck6/S2540sxJQyT53mkMqjqlddct9JlkAgfWqQL2MBITVr8rWd6tXpc2f/h+CfUNIgSzLP9xUrDr41wXSJD0HTDVgY+8AZNunU/ejINMkWqlheyeUk4/J89hqwASnVPjOksuB1sS+wn2/PwZZSp2Bug6J4JqziRRot3sL4fq65mrDEdEv+79Oh9I98jSn1+7voaOlVYAeFqnCfUDuQ3IuyOMe1qIL17ehvvgt2B3LB/TU6cIV5x8uvQenBOZxfwMOffYvnNq3W5rpv1JawsmArp09LVQBzh4+J83wy7LysseuKmRA1S2lDKg669H9JRcMIgCn7j/U+3+HkQAY40UPIwEwxksRf9Yf0uoAvgyUs78r7T9rstZ+5K4TDNeUgESH8N7/vw4OoOD/Ydf6eCNvukAAfp22UScBGNgyWUpGYhumC82/pZ1eoeD/RlszzJFYgGYEy51/lPIG8lOZ/V+S+DXutGxKAdQNHwfOd32Z+kv8FjIGT1wb4IK7rRT873L3ptIftrrSa1ikAPo2RjXiwOHHfWx0gv92OQHUOpJ8HtbnXtbUSioA8TYaFDinU8LwhnMinubqANrZllVOPGYMqI6XyHfyLA126PlTVpd6uiVIbUz0VgSuTWyG6Y7JFOQTcE96J1hJDku2lJOIHSxC0c1cDb+5/sL35r+qFTfPAU1UmDO6mfgdr66aFEyOGWSahBz7TLSw6CFIgYo9PfDUqQ4lALdaNMeSxG+wKHkHfg1T42yHjnRgmGzlRH0oVMnYrL+SGLzWp3eNZ29oqwCR6G6WyBH7GKsMDLLRcDKgQ5//jlMHDlRl+YsP4WbJCS3AV8iA7ktkQKVnynQCcmVFgJAA1q2ntMQwAmCoDEgXAThy85Z0InB1MiAjATDGix5GAmCMlyL+DgmQTH6jfE5KWB+DCcBrOb4GEw7ltqxBjNY/Px83gq0pAdg/wE/iAjQDpdk/ScH/2ck/0sm/5Hgk+xnrMJIDEyv7B3PZ/596eUt8/yPh1lB77pSgX5btfDtuEweMforM5LL/X/fPlwKor3qk4Zinp9T1p4VFD27wVLyNBv1tUoQhUpMmOHCg8GBbU7RZ2VKn5t/BKoRmaFlrS1aqwlp5OliE0goAeR8zXdIwqqlarvXPtwT6Nahy3VECaS8d2vuaZu6zLKp0+qPMqqw/Y0yBAQ3+7yoDCWZVWf96EhLQQFVFaHT0CFTmW+GnvgEY+7ynIt9RS5yIXShxByLnmSxCqggpUDdPQ8sV4vfXbZE3LrrX5WRegwrchOe1nt+GkwKR7zL31TbCtXbezZarAuwMT3/eEPx9tTa2CxK/x0BrDfd3hlwnrGyH/D7aLd5gAjBnUBS6OIdJq27Hxn3PEYCTh47hcel1PC67g0vlFzmAz8qAdLkBFUsA+Mndp1D67QaUbV2JU9+uw4FdR2hjMGvZqewDqMk6rkMGxO6XHOfIUV4CVHz9Oh6f2k/tQI/euCmQgLtPn+n8v8NIAIzxooeRABjjpYi/swKgb82b1dJgAtA7sAu3D2VmjiUBSl9wsm3i+CkU3C+ZmMLJf9anDKKPvZ2Tjdfy87E0d57O7P+nQ1ZJbQgdLEKFyb+/BbtR8P/MtxYWS6w/86J6cxlMXQSKPB7XaJyY/W/RhIL/q35uUjC1OOErHPZuKc3+r7HrKthuOliEwiOjDQf0ehZ54bajVvd/26E2wud5SsG/1zQ/DLBOo+CeNKWymnR22i073IpIWeJtNIizTsNX0d3kkp8086oGW1kWvVXdKpvPmoDxXEtgrBkQXh/wMwFerY3KeipAJa6K2rVwJLcVDue2xIFcHxzObYEzuW641rkRKmxqo9KrbhVwH2YKTKlhpWG8RVVDsayJuHEtYISkkvF83ZnSGJPtU6gEiAXgrKMUaZxmSRjrtKRrsvOIGS54yjQFn2lZD+3fFQmf++CO9Lohxwg2VWOPu9gM/NC5PiUA9z2ssTxBt3Wtck3qtVIA52xvAHsPyex4a7Jm9IqRJhNygl5TEIBiPC67g8dld3Cj/CoH8K+WnuFkQFdKS6RuQBSI7zqCK+um4elMF+77fTrTBRfXZeHALoWER9IHUN0i8wBkPQZs/8GxPWdxYO9xfHv0BPqNGAmbJk1gUq8eWrq7YNVbecDxXSi9JPYI3Hyiuw/ASACM8aKHkQD8D8fdu3eRn5+P8PBwNGrUCCqVCmvWrBGeFx8fD5VKJSwvLy/huRUVFSgsLISzszPq168PX19frFu3Tnr8o0ePIjw8HObm5mjUqBFGjBiBK1eu/Eef5a8iANX9zm5zbhiCrdt4cH851RyX0s1xbFZj/HOTgwD+v/2O1//XpAKgXD0bJXH+/ztG9KDg/0lAXbw5fRp97EA/X9wOtMTFAb1xOWWpzuZf2bG7myWiMCaaaTqMxJ02DSgBKO5iKwUbgS5hHMCvjgDkRn+k8PafyGX/vxzwunQA2G6ftjo9/xNs0gTS1KXRKN71Z00r/BJowWX/J413kEt/lvtiVGNtNUM5vIrV/LMZXLYHIKWpBmm2GTg21lMu4wmrLwfMHnVqDvxnWAFh9VFZVw72ZetRHRM4ZW8T1nfuHYXnVqpUqHz1eb+B2rx66dEEi6qhYjJC00d35eFZnhXG24sEIN9Rq/1n3YCUxIBUaMbap0gnPC8a3pT/3idIvvc1PujSaBT9Hgm5kE0JLnW356oAv4WMrTEBWJi4HS5WvbkmcaVEju1jkQ0GI+udgRFYHx0glQGlNMvkCEC8jQZu1r2pDEhJAO6W3eABfnk5Hp44iNtniqsmAisqAOfPn8fZ02VVYHzXEdxbElVV2ZnBN7aT328vieRIwMm9pbh06RAH8O/cOIAHF/fhSekePC3ZLRCAa9cO1XjmwA/f/YpmzZvD1t4eadPzMH1eEaJCgqFSqfDOtAm4WnbKoInARgJgjBc9jATgfzhKSkqgUqng6OiI4OBgvQSgfv36+PDDD7m1ZcsW4blTp06FSqVCYmIi3n33XURFRUGlUmH9+vXc88rKytC4cWO4ubmhqKgIb731Fho1agR/f388fly9x7Iy/g4JkD7pj4OFqP//4RtnVISoqP1n8duvCARgxby21Tb9sv9JyxyBsjJ5+8+yMDtKAIqjPen21/Ny8TCgPrX/vBM7VCAAB9O/0fn5NG2GcSBiTd8gPGG8/zf1bq9Tb1ydnIksF6vevPNP0ne46WNHwf81Pxea/f9s4FysGl1lE7ps5DqdA5ryX20rOA91M1fDZykP8Kan884wW8IbysH/Gh8Ms1dzEhO2KZUF+gQoKmVAJnVtEWI5Flcn2IqAd6JFVYOvEiA3qVWVda+hvr8y3wq38prii/7BNQb/T2vVxq365lICcKyxU7Wvr2xYq6pBOVO/4w+SzaumDLNDxSbrf01FvhWaWDSm+n5WFkN6LvIdta5B7LknEqF4Gw1GOasFu1f/Va2wv50pLniYIHGak85+D9+lVVUfdjZAjFUGdrm3FKoA951NKQF46G4pTAFenPQdvur/Gj4dslhSBVghEFb2d/KZqu6ZUMESdPmAntgb5IQHrU1Q4avCkphewr052jlBuCeDTJPwW/JmKQF4VHYH58vPCyBf3yJDwa6sm1aja/bi+in8zIBjJzmA/+DSPm4qsMwR6OC+Yp3gn10D+g1Ek6bN8FPJOQrwr5WdxJCoMDS0tMC1o7sEAnDDWAEwxv/HYSQA/8Px6NEjXLx4EQCwa9cuvQTA3Ny82v2Vl5fDxMQE6enpdFtlZSW6desGe3t7PHum1UumpqbC1NQUpaWldNv3338PlUqF5cuXG/xZ/ioCUB3oZ//zTOrZnwP3u1e/SsE/eqjw+1o7gQBEBHYRjlEdCWB/Kqf/Fk7LQiUj/9k6Joo+9l76KG741+WUxQIBeKPnm9L342QZirdjxebeBbFh+DrMD8e72GJenNiQqHQcYaVArKSB/EwLXcABoS8HvM5l/7/rO402/d73sMYTl/rYFxSLgy1aScH/QQ9vOFuEcPIfB4tQ9BgZzgG7oEXeuOVYh4L/y2515baQ71UN+iJNp8rMMwGjSutGkpUm/25i0Vje7DvZQtT611NVZdj1+emnmwNtTVA5ygxncx3xdo4aXtkb4ZS9Df6adXhWqzagUuG+SX38YdcS77eJQl5IMuIHvoawsYvQLuNDeEz6XAr8ycrsMxlLOg3EDtf2uGJmXT0Z6CKxBlX2CPRpAJirgKGSYWQyEpBnhTddEpBjn8ll4lnpFXmMEAHyGFuR6ZgrzgjoNd+z2jkPPu/5IGRoJJeJj7HKkFYBzro7cFWAf4WqmQnBOZTYlnTsJBCAIvV36G6WzGX6lX0AbDIgs0eEQACqmww82GWkNPkwrPF4nJvys0AAHpfdxo2zZ6WOP/rW0YPH8GSms5D5FwjrjIZ4OtMVx3adpHKd4j0lnAzozo0DHAG4f3m/QADOnz4hdQBiG4KP7i6BpaUVYocMx49nSunaf+Qg1rydD5VKhZ3rV+LA7XvGCoAxXpowEgBjAKgZAXj27Blu376tcx+LFy+GSqXCkSNHuO3r1q2DSqXCL7/8Qrc1bdoUcXFxwj48PT3Rq1cvg9//X0UAZGBcpaojJQWju8Rw4P7k640o+H8aUQvbv3fhHv/6KzcEW6h1Hkuf9If85z+823gu+78hMYbT/8+bon38X3GdKfh/1sUaZVN+FAhAqke+4DziYBGKLk5hBuuM3x4QhdiG6VJCJZM3DLTW8FN/k3egvK0fBf93WjbFksRvsSh5B36OyOTAVam7vVT6E2k6TJBNqJunoZUiA9yzyAs/d9PKfzInS6bDvueDVst9MLJpGnWYYaf3skBTOQeAHD/HPhN5Tol4pm+wF+ue07RWVSOtruemmgMt6qLyOej+1rOjFLxPihyPPqPmwTXrC70gv8ZrylZ0S1qBKRGZ2ObVFXfqmQoEYFz/CTiS27L66cVZOjL/+ZZVUihJZWOGcwK9PllypbGtqgKw8wHY74T0aQRajoXPSv1AX+da4UOrAOQajrfRYKerOCGYrQLc97DGUvVXWJS8A/8OGcUR249GrBFIQGart6SkX/n3IaWpBj0sEgRL0HOdbCgBON/BWrg/A5zChOomue8PpH/DEYCnp8+h8miV68+T4n0GEYDzv2yoEbkjq/y7jRxov3qZdwOqOLmbEoBHZXtFAlDKVwBk/QD//H63VObKrnkfrjX2ABjjpQojATAGgOoJQK1atWBmZgaVSoVGjRohLS0Nd+/e5Z6nVqthbm6OSoU12qlTp6BSqbBgwQIAVZUClUqFwsJC4VgjRoyAjY2Nwe//75oDoI8gvJ7rwwH8q4lmlABcSzAVsv+zcwKEJjxltr+6pRmczRGAvTGtKfi/0rMx99jV4FcoAbjXJ1zi/vMTdf9hSUC8jQZxrcMNJgCJ/oOkMh+2CsA+PqnXSgEEfTpkMY51DcUzt7r4Z3gyHQh2y/tVCqxuuzfCUU8vAXz96tYSKU013DHibTQIzOihQ9rTCppJjljbX4fl58oqO0h2wq/yPCmlRqzzT7yNBiGWY/E0V38mFLmWVRN6/esCU3Vk/SdaAK1NKPBnJTydUt/7vwH5BizPSZ9BHZOLbV5d8bh2XZRZNaFko1X2x/g5NwAV+VaG2ZP2qAd41pGeg2d5VshonsZZrRKwTyRC7HfBkjEHi1BobDXoYztWkALVdCUEDxVIbLJNkt5egCs+7vhwxAdYlLwDq8ZsxDM3E0oADnTvJ1z7c0Zuq1b+x95L43ryVYDvQn24KsDyAT24x9X+g7n9sQPIVvZayhOAM+Vcw++lstIaE4ArP60yiACUbF3KZe/Lzh3mAP6T0j2UADw9I/YBXLl8SO8sgJN7S7Hj239CpVIhqs8ALNu8Vbp+OFVidAEyxksVRgJgDAD6CcDUqVORnZ2NTz75BOvXr6dNwV27dsVTZhpiVFQUXF1dhdffv38fKpUKU6dO5Y71wQcfCM/NysqCSqXCo0ePdL7Xy5cv4/Dhw9zavHnzn0oA9AFw2WPODUPw9dcMwN/ugseRtSkBOD2jkUAAMhLaGgT4ZUBgSEwKZ/95O8iSEoDfBnWij72TNY6T/1wbPUMgAH8kbhXALDn2lHDD/cbT3NTSaoKSFMRYZSC2YSaKGF9/5Vo1egOWJ2zFouQd+LpfPpf9P+chz/6n2mh1+uR8dTNXS5tAq11rfNC3qVqQZLB2n6z3Pzku6/wTZJqEk2qPmgGhaTq8/J83B8scfB7VqYv1fmF/CwFgV9uMj9B/xBxhu1f2RpT426HS30R31p+s2AbaKohjbenzT6vdaSMw6wBEvgdSpWG/K5akxVhlIGxkb73fe/JUJywb0kTY3n5aF87hiaxfXP2FXoDrrtb4qccYOhWYrKNdwygBeOxhRq9vdjAYaQZmgT4htUpCEGyuxj9itPff4pgQVDAE4IdeLfj+nJhoxL+SKSX8/b0TeQnQuZuoZAgAOxPgQnkZrp09jbunjuLx8QNCM/CVPz4ziACc+nYdB9xPHT/KAfyHF7R9AJXHd+G2wimInQfATh1mScDeP47C3NwCvSOisf/GnRoNAjtsnANgjP/Pw0gAjAFAPwGQxVtvvSU09/bs2RMtWrQQnltRUQGVSoVx48YBAHbu3AmVSoVPPvlEeG5eXh5UKhVu3ryp89gzZszQWab9swiALu2/MutGtoV16cqB+183OHD6/73v2goEIG1suxpn+nVVCHp3H0VB/szpU3Ey0g2Pu5gI03+/GBNNwX9lh1o4P3GrQABe7/WmIDEIMk2qcv+J1QKHuXGRmD8wQi/4nzUwCk6WWr9yJXFit8dYZSDONa/GLinnW/tS8H/XQ5793+fhLQB1B4tQOLcP/I8yvl3yuwjAngBNZRaaZJrZ7Q4WodDYpfBymNzng72ya5gVTzcH7GpLXXtWteuL9ukf/PcAPmsL3DI3wF/9Ebw0G+A0+f9IMpS9DX1HzqXv+ZlZ7aq5A7LPmWcJvFqb74NoXltoEq7Mt8KnEV0QZ53G+eMr5VjkGihwTqfEgHxPoxpnoOU74vcdNs8TOxlJmDAbYJUPHKx7cd93jFUGwkxHCVWAo17eONjCB4sSeevaT4Ys4WRAP0RNFK71hLazuQqSUg4kyOicRnD3ITukr6xjI5GkuydI/8YMtM7Ewc9+43oAKooPUQLw4MQhnVOBBTvQsrN4WsMegCczXehcAOrff/QUB/DvXdvP9QHcuyb2AZB5AMqhY2xVoG+fGJiYmGDjNz8IYP+H02eFbZf06P8BIwEwxosfRgJgDACGE4AHDx6gdu3aSEhIoNte1gqAodl/B4tQpI9tx4H7QwuacgTgp21OAgEI79KV20d1DccyAjCwrUYY8vVGXi5WacbgLcb+81DfVpQAPO7pLfX/z27xhvTYnR15/f/HUZ3xxK8OTnRphq/C/KXNv3nhfXTKFWQkILHXvBqB//XD3uWy/+d1TP3NsO7Hnad4Gw1GNc6Ab2FbCuL8VreCz5pW1ROAVT4ItBxL3z/R8hMCwA6lcrAIpRIUkpEe2zgDO6ID+abfPEvAt24VuHWSy1w4LXx0A0Bi5bm5RXcEpK42GOS7ZmxEu8QP4Ze4Fm0SP0LYoCVIC8hDrlMmZrqkodA1FQs9kjHLPQ3JHfMR22cuOo9cg9aJH8F93GdwmrLVYALwq6Of2CjcxkTe3DzZAnCQkADJ3IEr4+yQ+Lwvg3UEIov9nR0cRq6/sfYpghSoZ5EX7jevRQnAbwHmYhXgtU4YYK3tB3GwqNLjy3oBjnp545O+bwvX82V/T0oALrX2Fh5PC1tI/zbos88lPxP8hnD34Y6QlpQAVPiqhDkdM3r3QXezRI6Mk/3+/vFOjgA8O6X1/a84tlub6S8vR8Wx3fSx22eKBRnQ9U01dwFSgvXiPSW4dZMH+JXHtQTg4cV90nkA+qxAiQ1o81ft0KCBKYark5E7fyE0M15HaP8YWFk34sD/6fuP9Gb/ASMBMMaLH0YCYAwAhhMAAGjSpAkGDBhAf1er1TAzM3upegBM6tr+R2t0vD0H7s9Oa0jB//2YugL4//obFzSo/58diyzTBnbIzs4WCIA49Tcfd7uaUwJwe+BwAfyfnrwDpvXspMdp58RP993V3YWCigetTTBXQgB6ePsa9Fly4sQmSNk62K0vBf9PnU1Q7OkhAK1Dnl4wlRzDNsaFA3CvJzfHkdYNkDLVSScRaLWmFUxe+S++o3rN8N1wCaBvr/DC96urGxgF1BOA8ykbOwwa+naNwbdj1hY0T1oFc49wmOj4ng1a9exg7tYTjaOnw378BjjWgBB0Tl2D79w7CZ/lWdM6ctvQqZa8VSghS9NEElCcYQXTes3+48/jnOUhfPfLhzThbGHH5DoLz2kW6yLsq4eFKEnTVQX4MWo8VwVYN3wV9/i8hK9hWs+xxp8j3Ke1Xjegr8L8hXs1vFVr6b4+W7mRIwBPzl7iMv2Xz52lAP/hiYN0+8MTBwUCcOpEMW4uDqeZfmXmHzOscHNxOHb/sRu7d+8X1sWLvN3n09PaRuDHpXsEAnDx4gHpfpTru+9+QFzcYDRrZou6JiZo3KwZOnUPRl7RoirZz90HuPToSbXgHzASAGO8+GEkAMYAYDgBuHPnDmrVqoWkpCS6bdGiRVIXoLVr11bZqO3cSbc1adJEpwtQz549DX7/LxoByM7mh3xdH92AEoBL6eYCAcjOdvivQVh8vLp68D9jBhZNTOP0/1fUcwQC8OGgIp3HmRAazAGGa+3MKaA40tVOABSz4yJhWq/mn8O8vgvn/vPhyA9wqbU3forMxMoxn9Hty9Rf4pGbOSUA112tpUBrQmMn8Tj1bdFyhXa6a+uVLXHBw4SCu41RjaQEwGt+i//qOyoMtRaBbY96PKhtVAvQ6NbE3xvTEI/r1KWAeUX7fvCcuKl60D9lK5on/h+Cfn3LzAlN496Gw+TN+t/XlK3QRE/C7frmHAl4aFoPlaMkbkcyEtCirtQdaGYv6//8/ZvbopWCBHZe2oKzht3VyUxOEE35fZnWtcVeD1GWdtTLGx/3mYlPBy/G1gFvYVHyDrw79gs8da9HCcDunkME0quJ1n1vKpfXq+7C/Xi5vSUzrO9V4fG3BkSgvom4r5ULVvM2oOduo/KoNtN/68xxCvBvny6WVweer9OnS7D7j90oXzcBT2Y6c9/bk5nOKF83QSf43717P44e5WU+j8/tpQTg2SmxEfjWrYM1IgCytefIcewpPom7T5/VCPiTMBIAY7zoYSQAxgCgmwA8fPgQd+7cEZ5PpDqfffYZ3VZWVqZzDoCdnR03ByAlJQWmpqY4d+4c3bZ9+3aoVCosXbrU4Pf/IhGABvVtsXUbY/G53QVPemsbgE8U2Cim/7rA3Oy/A1ymDew4/399a+voKK3+v2MdlE/6Rpj+28hMzGSa1LWFaT1bzGKGDC0f0IPLKG4Lby0AipTu3Qz6LNNiV3OCnpACAAAgAElEQVSA5/eQeAqInng0wDL1NixK3oHv+kzj5D9nPJwEgPUvN09p9t+qHT/ZNS+tOZfdHT9RnPzaak0rmFj+59/Rq1aviBaYA015MGtVq0rbrwP8X897FV7ZGzElIhPXTa0wKu716oH/5C/QOCoHJg3+e5Jp8KpnB3PXXmg2dLbeqkDXlFXY96onRwKe1K6DilhJX0C2JWCvkAN1FWcMVD4fFPafvneXqZ7CNTB/JD8heOQMF+E59inuwr7GNRGvzXPudnjoXL/Kucrblg60Ox7Qg7O6JdvZZuCaVgHqm9jirQF8f87vwW7aip2/CebGifM8vF4VP8Oswvk4wc0BuIOK40ekfQBXS8/orA6Ul5fj3LkyLcj+YzeKv1mDU1uLUPzNGr3An13sPIAHF5lG4GKxEfj27YM4euQ/IwBkGRpGAmCMFz2MBOB/PBYuXIiCggKkpqZCpVIhJiYGBQUFKCgowK1bt1BSUgJra2ukpqaiqKgIRUVFiIyMhEqlQkREBCoqKrj9EWKQlJSEFStW0EnAa9eu5Z537tw5vPLKK3Bzc8OCBQswc+ZMNGrUCL6+vnr1/7riz7QBra4xV/n4qM6xHMD/5TNHvQ3Ar0/3rbbBl9Wvy97PMIX//9s5U1CQO11KAP49sINe/f/vKZs5rTyr1+/rw9t/fhvqS8FEpa8Ki2NCuccLY6PgYiU/XzI70GDzFMH7/7qvEwVEZzoG0O1n23XQTlZ1ri80/x729EaI6WjhvI1qnAGfd7WAzXd1K5xpWY+CuhM+9eG7WpQABQ6JoJpytsGUdWNhm06DTKuGT8VYZSDNNgNPpiuAbIo5YMqAWFMVoNbt8V+S506HeTllb4OfZr1e4O86aTNSA/MxzzMFWXaZyLLLRI59JvIdM7DQIxkrWyRgmVciCpzTscQzCTNd0ujPAud0zHVLxVy3VNoDMNMlDQs9krHEMwlz3VJR6JpKn5/vmIGZLmmY6ZKGIo9kFLpqHy9wTkeBczqmuI6H24TPdL5fj0mfY71fGEcCKlS1UNmngXg+JlkAjRUD0mLF5z2c1gguVr2QZZdJ3YHYAW1KR6AsO60Ljrp5GvyW+3HXQKdlLXDbsTa9Vn4KshQrRat9MKpxBtdw7GwRgl3uPgIBYAnsprh3sCh5B7bGvMnJgDYOLhKqAInt50r7AGR/GwYqLHs/jurMkfaP+nQVCMDktiMEA4CVsz7Bkf1HOALA9gE8O7aH6wPQ5RJEB4IdOsV58ss0+mzD7sm9pVwT75VL2nkAykbgu5JG4NKSI3r7AHQ5BJFlaBgJgDFe9DASgP/xcHJy0umoU1JSgps3b2LEiBFwd3eHmZkZ6tevj1atWmHmzJl48kR0QaioqMDMmTPh5OSEevXqoVWrVvjoo4+kxz58+DDCwsJgZmYGa2trDB8+HJcuXfqPPsdfNQisJkQgI4FvAP7xS2ccfqcJzuY0xFW1KXZ+4cg9nqluy3mUKwG/PlJAtmmGTOVA/q+DA/Csc22UhzXH9hE9BBLw6aQCXBs9A1fHvikQgA1DV+tsMp7QdQAHFI51bU6BxMUODUXv/8AIrslXRgLYbYnt53JAZ+3wVRwY+rZvDrUBrXCqTcHTZbcmQob1Q3t+qjIhMYFDIzjAljbFkcvqTs20E0Cd70J/DHjuLsM6/pBGSdbnn1iAksdSmmqwJbq9KGVpqshix0my3anmqBxjhsU5Q+GWXY2chpHV9O0zHxmvjsM89xQs91aj0DUV89xTKCDPsc9EgXM6ijySsdAjGXPdUik5KHBOp+B9rlvV6zS2GsxzT6HNwPmOGXSf5HHy3KLnjxMyQPa3wluNWe5p6Bc5F05ZW3S+95nBo8W+gP7ycwNz5vyZqYA0sXqyNaoLN3WZNG6TycCskxProJNll1nVEKywiV2m6AXoM0vsF3Du1FUgumscIwRL0KfMNXwoMBqLkndgSeI3eOhpQa/5/cExAgGYO2qbMEFb1lxPXLveiIym9+S8uN547FcHFb61cL6jNT6O6izct5p2Q4W/PytnfYKDew7hXslNbR9AyUV+HsA57TyAx8f30+33Tx4RCMCZU1pwr5zQq5zWKwPk58uZeQC3DuBJyR48Kt+LB5f24c7NAwIBOF92WC/41/e7kQAY42UMIwEwxksRfxcBUALZINMkzJ7aRdD461szcnyFyZvVzQJQPjZ5Ek8AzkY4Uv//g/18BALwwfSlUuefsuyd+HzYe9wxWIvT1xggMScuEvda16cE4N/BrgKQSA+OEOwKyT4J+GK902cO3MgBnd9Cx1Ag9NTdhHqjL1V/ja/6zcDJTt3x1LkuTni6CQRgoV0fbjJrvI0GA6zTBED3ry7mFMxddK+L1qvE7H/r5GAu089mkVmPeeU02BirDEx2HCtKf9oomn6DRAkLxlngmUUd3Depj7hh/6gR8PdNWIvXPTJoxj7LLpMCcQLuCfif65aKZV6JFLSTzP0yr0Rk2WWiyCOZZs7J6wpdU+nnX+6tphWBJZ5JWOGtxkyXNLrf5d5qZNll0t9JJaHAOR0F7unoGbdUJxGYFDkez2pVWZxesHgFEeoiHM5tKZ6jIYyEylIFSPoGKvOtkNY8ibNhZQE/6xDE2rWS77v9m524a6H7Qm88ttU6Aq3rJw6Ka1HkQwkiuf4TrQcK1+gNV2tKAB64W9HJ1kcCe6O8nT929k7De6PWCQRgYdJ2DLTWcGBfaQHK/pzcOY67Lz/q0xVFsbqH+U0PjRb+xnw4ZwP27T6IWyevMn0AtzgCcKPkJAX4904dpdtl04LLy8s5f35dQFxJCEiW/mLZUQHk61vny+UEoLrKA/lpaBgJgDFe9DASAGO8FPFnEwAZGNcF0OdMCzCIAMyZ2kUv2Ff+p678PdgyCfl5Wv3/a/n5eNSlHiUA34wKE/sAct7XSQCW9V0gEBCSSZwdpwUJq/p156QEGyM7iJnEgFgpIFHOAyD/LlLzw78utfZi5D+dRSegpO045N1SOvirp+lYCtQJIA8JGMQBtajZHlw2951RzaTNv87tA+n7lE2UJVl/9jkOFqEYYpOCZ3kK0DpIoft3qyM2sU6xROUrWo//B3XrI2zsIp3gv+OINXjbI50SEgLYSYaelesQKVDR88w/yeYXuqZysh9CAua5p2CmSxolDjNd0rDcW418xwzMc0/BQo/kKvL2XCJEXr/w+WtJpaHAOZ3Kj8h7muqgQffYZdLPlNknC6cbNUfX5JVwyt4Gt+zNeJj/ikgCutarOocTdDdOP55uhXzHVO78sORTObSNtQoNje0jXA+f97am18w9+9rouKwF/5w1PnCw6clVh4JN1TikmAlw1sORkwFtjp31/Lr+XrzWFWtKp/kcQVcSbPZviKan/jkdQuP+wCjODtTBIhRFs1dj3+6DOF98nu8DKD6AyqO78fT4IVw/e4oC/BslJykBqDy6CxfKywQScPJQKZ3Gq68KIAPnF8uOGUYAnlcA9M0CUP7OSpQMDSMBMMaLHkYCYIyXIv6KCkB1IJ38R7/gHW+DCEBeQk+DpEbK9xQRNIoD9wsmpVPwj04qrM6MFwjAT9M26CQA6Z4zpIQj0IX3/2f1/xW+KiyIDROARKx/uABIZFWTINMkuFj15vT/q0d/ysl/dkgGIy1Sfy11V9nj3koqqfKZ788BtdUDG1Mg99i2FgIXe0t9/4n8h/WLZzP+7HVAdP8pTTU4oXbhwWiWBdCwFp+1VgLXPEvAtQ4ngdnq3Q0uWfIhXO7jNiHXKRMpTatkLQSkE6A+160K+C70SKYZeiL5IRUCIvchMqAij2Qs80qkxGCZVyIF8XPdqmRApHpAXkeOSwD+XLdUKv8pdE1F0fPjL/FMovuf6ZKGqQ4aBI2Szy7wmPQ59/v8nFEiwM+1lLoACT0USW40K0+qNjn2mdzsBrYKQAiCunmaMBdg0JtuHHGckdpcuG46Tu3K/V2It9HgW5f2EhlQHUoADnbrW+MBeFP6rZZKB5WzNRwsQvFaeH+DCMCcQVGIdRjJEYuVsz7Bgd2HcPJQCUcAHpfewOOy27hXdpMD95fPndU/EOz8eZw9XiYF4/q2kVVeUmwQASgtOVJtBUBfj4ChYSQAxnjRw0gAjPFSxN/dA0D+k3RuGIKvvq45+N++wxXqYe0Nlhmx4HzEoDRe358UyxGAmTnibIB/T/tCCv7PTv4JPcyTpe8hK7gvBxAOBdpTAnCpvZUURAQ4hUn3JZM5xbSfzgGc7dFZHAFYPfpTAQS9P2iZlABscg7ipEukqZMFcq1XtcI1F62t45ehDaXZf8/UtgIoZLP/RF/OasnjbTRo0zRIlP5MttAO/DJRVbkAyTLaDPj/zcFHAMJkOWdtwT+8q0B1oas2m1/gnI557in0dwLsWS0/kQYt8UyiAJ4QiLluqVQSlGOfyVUACl1TsdxbTasISzyr9PKFrlVEQ9lMTCoLhIQQckDISL5jBgpc09Eh/r1qZU5u2ZtRkudeLdiXrcp8K0y2T+FkQKxUK8YqAzn2mfS7ZKf6+s1uK1wXh9s0AJqo8KSZCssHN5ESx4zmGVyvyDArtTAZ+IZrQ0oA7ng1wSJFE7yuNW/s19zEY5YAKK/9sZ0NqwDMGRSFrC4Dub87RbNX48DuQziw9zgenbvNk4CyO3hUdgfnyxmAX4NG4JIzpVJAzkp9dPUCKCcC10QCVN0wMH3L0DASAGO86GEkAMZ4KeLP+kMqa1bVt8K6dOXA/U9fOuHwvCb44/3m+HmrE7ZvdxEIQExYgACOayoHcrAIxZiRmRy4/3loIAX/N4KtucdO9nbD/n5+uDE0DRcy1wsEYOfoz4WsIjnOP2L5AV/X2llQArA3yEkAEIWxkXCyDOVAszJLSTKUGlsNZgxazwEc1g7xir+7FAR93StDSgDymw2lxySAqF2/cL3NvwnTxcFOPmt8oG6eRjP/Bc7pdHosC/5ZJxkiH7k7RSJXIWu4KdDJpGoIGLfdjAP/Z61tdbv9ZG3BROcJVNJCgHaOfSaXfScafzYbz8pyNLYaSh6IhIfV/rMuQUTGM9MljQJ5sj/yOGkKJqSDHDOlqQbLvBKxxDMJ+Y4ZWNkigZMiTXXQwG1c9fMMxvWdiGeBEmcg5ZouVgUOxrtx05sJ+M931PYCkO+V/Z6TnJOEKsD4iQ54O8EW3RZJqkbPV1jHofSaJ9fHQQ+lHag9JwNaP/TdGhGAhUnbEWyeItyv7O/kPot1HKkT6M+Ni8SyAT2F7QV9orm/PStnfYI9u/fj2J6zuHH6qkAAHpfdwcXyCxzAv3/yMO6fPIJbZ45zVqAsASBgnwX8SucfGUE4tfcsbiomAt+5eQD3ru6XNgLfunWQ9hzoazCWkYSTe0sN/r/DSACM8aKHkQAY46WIP5MA6ALlMllLRkJbDtzvXv0qZwH6z00OAgEI6Rwo7L+mhCPINAkTx07jQP6xPl6UABRHe3LWoOwAsGtj3hAIwNq+q7l9k/fh1jAUsxm/8KLYcFQy+v8vw8WJovl9IqSNxLL9O1mGYwE7FTVpO+57WVMCsKfnYCxK3oHFSd/haJdwfB89BavjP8HBFj4C+D/s4Y1gUzVH3mKsMuCzmLd0/DK0IQX/FzxMpNafXXK6ctIQZfaY/VzEVSalqQaRjUaJ2f/qVpYFKi1qaYdh1a2H8DEL5UB48heY4V4FsPMdM2iDLrHkJNIe0oTL/k4kOKx8h7yGrHzHDKxukQCNrbafgPybAH4C/omMhlQJSO8BIRWkckCahUnWv8gjGTn2mbR6scQzCSl2E3Q2BntO3ISPWkfQ81M5XIdl6jRLoHu9qoFqU3gSUJlvhTG2YykJINUatiFYWR0gGXy/OWIVoLrln9JdyM5vdOzIXa/HPD1R4VSLEoBfQ9X0PliesAXbYgqwPzgGn8fNEUhA/3bT6PtTVgLYvyOxDdMxayB/f26K7IBznWzw2K8ObrU1Fe7fWXFVBJ7sh1QATu4txfniC1ICcKX8kgDy9S22AqDU5ssacfU5Ad25dYCzAr1/WbQCPXHsmE4ZUHXHMzSMBMAYL3oYCYAxXor4qyRA1VUEZk/jHYCOzG1CwX9FLxW2f89XAL76yg3ODUOqBfrKpj6yHK3CMG1aLkcArvWwoQRg59BAun1V5miOAFzMXCsQgBk93hCOF2OVgamdBwsAYXFMCDZGdsAvPT2xXJJBHPRc/y97/0qJQpxrHgds1g1fycl/Ng8sxKLkHdgweFG1w792uLbgAFdKU7mOe0N0I9yzr/J0XxXXWJr9H/tcMsLKOEh2mG0wZsF/vI0GJ5MdDJep+Jpw2f/s8Aydmf8Z7pkUiBOJDsm0k38TW04C7knTLsl0k0oBIRGkKkAy/GQ7yewTy1DyOqLrJ1UBlhCQvoH3W43hCAORBxG5EXmMVAg0thpMdx8HJ8nQsO6Jy3HfpD49P4+s6lXZqbLncJJFFfDX4670ZHpDjG+ulWoVOKfTY7NzHAgpIERgeHOxClDtWuwjXPNTGg8Wrtm7LtqJ1ufatqX3wa1WzbV2oN0HiFOBuy3R2wfAOnBNj+QreFsi2nJN/IsUMzzmDIrCGOex9P1/OGcDrQBcPnFJSgBulF2RNvvqWieOl0jdfvQ16LLbz5cd5gB+xQktAXh4YZ9AAC6WHatRs7FSgmQkAMZ4GcNIAIzxUsRf2QMgqwiQ3+coLEDP5FlTAnA/1kTI/n+43K9Gx9BFOPp6ZnDg/4286ajoVIsSgE3q/vSxLWOYCcCd6qFsyo8CAejvnSglHnnh/QzWEMc4jOIkOLo+X4xVBpJD5nPA5qdIDQU+z9zq0Om//wpJoEDpqbOJMPzrqJc3JjbryGXnY6wyEBbTVwrQ2q5oiYwsR/SeI3q5+yz2EQAVK+WQ+f/HWGUgvOFoPvufbylKfZRrBC/9+c69oxQEO03Ziume47jMOpHZEC0+ke0Q8E/AOQH1bKNvgXM6lf0UOKdjhbeaynkIYSASHZLdJ42+hByQrD45NiEAhFyQ45F9kmOSCgEhKqTpeK5bKtKdJ0o/f05YGneennaqL55Lrzr8bIDJojvQ9ugudJ4DcW8iUjS23yPLLpOTBfks9TWMAKzxQX+bFO76CDZV47BCBnTJrYn2unaphyWJX2NR8g4cDQzXK4ObM2qbkPFXyoCoNK3tEO7+XNGfn+L9aVQn4R4e2Dqc6wEgBOCmQgL09HQpKooPofLobm4icHXr9Ck58Ge3sfIgJSi/VM5bgT49vZsSgMfn9goE4FL5Ub19ADLJETmmoWEkAMZ40cNIAIzxUsSf3QNQU1nOuKTWHMC/kGlBCcC1saYCARif7K9T+qO0ypSRhG5th3AEYNHEVK4BePl4NX3st7hO2gnAPdwE8H960g/oYZ4sJTi5YX0NAv+FsVGcfEDmoMMC638M+4IDNivGbsbWmDexu+dQHArqI53+e8fFQqf9p3I4UpuZ7Q2Wb7TtHyGVg7CfhQyUYknAiRR7HnAOMQUcalf9lBGBXEuAsfy8Xc8MHdLel2b/O8S/RwE6AeukB4D49xNQTbLuxO2HbRAmmXwC2kkGnkiGSIaeuAkR4E8APGkSJo8RZyFCPkhzMJk0TByIiKUoWz1YyPQikNfPdUtFvz7zpQToV0c/LQGoVRuVKYrhX8nm1c5YeJprhbGNM7jMP5kCzFYClE3CHcYF6bxeWq9qhV7zvYTtbfpF0GuF3Fs/uLbmrtszHs6odFLhaksn7A+KwYoxn2NR8g7siJ5MCUClay0sT9gi9AG4WPXWORSMvc9iHEbx92lcJB7616UE4MdeLYT7WNM5lu6HEIADe47j1unrionAp/V6/uta5WXl3IRfAr5l/QCyf5ecPsIB/CeleygBeFKyRyAAJaePSPdFfq79YAP8/dqgQQNTqFQqfLJuM31fhoaRABjjRQ8jATDGSxF/xxwAGXB/eyLfBHxjVANKAMonWgoEYNokf537kslnlD0J4d14C9D1KYN1OgCdiHSnBOB+VA+BAKyJWSqVGsVYZSAnxLDs/6SQCMGSUAlIyL+dLMMF/3/ZWpz0HR67mumd/rvHvQWnz4+xyoCDVQh8Vhso3VjjAwfrXoLDDysRYSsbxDVmol2aqP13ZjLSLeqKBGCYKZfVzgtJljv+TP4Cr7tptfokI08y7uzQr5kuabQRlzTasq5AJFPPAvosO+3cACL7IcCfvD6lqYbuh0iCCFnId8yg8h5WPrTcW02JwBLPJLp/1m6UPI9UNea5p2CSvQYtUz8RzkNP9VI8rl1XOyPBXdIL0JJxWrJQiVKhGVYoahtDZT5ZdpkUQJOsP/md7QsI7idWkhKmO+ObXla441AbuzuaidfSIh+uahRvo8EbTcSpwMWeHtjQ903umv9oxHsKKdxs6TwA8n5Zdyolke9ulojC2EjuPi3raEMJwOFAO+E+zuw8gCMA+3YfxLE9Z3HhGC8BenqmjPP8P19ezrkBXTpXimtnT0sbgcksABko1zWki2w/UcxXAB6V76UE4Nmp3WIPQPFRndn+3b8fRvNX7eDs5IK86W+gsOAd/PLjH0YJkDFe2jASAGO8FPF324ASMLtkIT8D4EH/upQAnHqtkUAACtKDpCV8GRFQPifINAnd2gzmCMA3o0Ip+L8XaMY9dr17I0oAbseNEuU/XolCxl4LHAwjAIn+cVK5D/uZCHge6JJbI9eT9cPe5fT/JR6OAgH4yrmj0Hjcqe1Ag7P/vov9uIy/UuvPOgw5WIRSkLgpLJgHmomKbHRviWRlhhXejE/Ar45+KG7sCFeZ3/+Urch0mkCbcQlgJ9IeYu+pHOxFwDlbESBZdtIvoGwcJm5ABPQTlyDyWgLsiXRn5fNmYbbfgAB9kuknP+e6pVLJEDtTgLyWEA/yOaY4joPzZPF8LO8wgCNNlfEKEpBgxp/3SNE1qFjtxpG6LLtMKgliCQC5jrLsMtHfJkXoA5ipfpU2kz9tpkLnpeJQsP42KRyJTLBJE+xAj3p5Y2en/sKgu4eeFpQA/CssQSQAYau5+4r0qyjvgyDTJEwJ5+1A93VzpATgYoeGwn08JTyC7pftATi+5yweMQTgydnLnOf/pXOlFOA/Kd5Ht985fUzsAygu0SnLUUqBlM26ylkADy7uowSg8vguUQJ06ZBOl58vN26HSqXCjNw3jU3AxvifCCMBMMZLEX8mAdCX/WeBrXPDEHz5JQPwt7ugopfWAejIvCYCAZg5vluNyYXsfSh7AN7OmYIVmrHYmBiDzQl96fbX8/JQ0bEWJQDXR02jwP/clJ9xKONbjHllHAcYKBlQSAeWD+iJI12b45eentgc0RbzB4aL+n//cE6OoNQmk23xNhpMC1xcIwKwI3IiBf8VTrVwzNNTAFAr7YK4DH2QaRI6pffgAFnoO57osLyFXgIQmNGT7oNkiWXZVaUc6LymMQ8025pUm4l+lm8Ft+zNcJqyVW75OWUrxjpO5jz557mn0Ow+AfQkg6/U4LP6exbkk6x9kUcy5/9PKgyEHLCyHqWWn7wnkskv8kimswDYxmDSM0DsRMnnINKlIo9krPBWc68nz5nlmyr0A/hp1uN2fXNKAO66SKoAbOXFtrYgv3qWZ4U02wyuoZv8JBahLOEj0iD/xfwwOeU06YwsR+F6ahcdKYDxPe4tRAcr75ZYlMhPAS5t344SgFOduwn3RU70h1wviq6qm4NFKMYG8ARge0grSgAe+9XBnDi+QlAYWzURmK0AEED84NwtbRXg3E2OAFw7e5oC/IcnDtLtD04e1tkIrI8A6JIHlZbwEqD7l/dzTkB3bsmtQGUWoKtXfASVSoX5hUuk78XQMBIAY7zoYSQAxngp4s8mALJeAKXEZWTHgRy4/3mLE2cBuneFrUAABkZ01kkoZNaZyuc620QgPz9fGPSlXO9kaTgHoMvJi7js/9K+C6RDhRwsQqFpM1ywD2SbBxfHhEjdQ1iJDOtGovTnL4hYXSMCcCgwmhKAu25WUv//rMZDhEqJcvrvT0GWeNJMhX3tTTE93U5KAMI6DKGAn5WCsH7xBDiSzxNiORYVeQwAnWoJmDJZ6ABRi44ZVtg0PVyv773/yPc5u0/SQEuy8GSQV5ZdJpXksACagHnlUC7WgYf0CrDe/qyjD7HrXOaVCI2thkp92OcRYlLomkq99eNtNPR9ssRghbeaHp+QApa0sDIhja0G0dFiP8DcwOF8FSBR0QsQ24CvAiSIJOF1n/7c90uuSUL6HCxCaY8HIQPRQ6IVGf5WuOBhQgnA+zGviP0k0wKEe2ubcyfpNbxy2Bruut/dcwglALdavSoOBGMagXXdw+T3RH/ezevTqE7cvSybBzDAPh4OFvwcgAN7juO2og+g8uge7dCvM9qhX/dOHaHbHx/fLxCA40fOYOPPW7Dyh/fx+c6tOLT7lF79P0sKlMPA7l3jCcDd6weEKsBxxgqU7Ktv9ACoVCputW/XkXueoWEkAMZ40cNIAIzxUsSf2QQsG74l+z05pB8H7n9fZ8cRgN/W2+udASD7WV3vwdCYlGrB/4wZM7AmI54jABfGbeQIQFGPhdL34GARilh/PsO/I6QlBQyP/OsKWcN/xPZGd7NEjgAoCRR7XnNCeQLwQ9RE7IxIw+aBs7FyzGd0+yU/b0oAbrhaC8DpkIc3BlqlcedngDVv/+m7uhVuO9amYG3h8KYiAVhdNcFV5vvPAn6iGyfbf4z14wHmAAUATTUXAGhFvhW8sjfqJgDPdf8k288CZCLHIbIgNrtPmmoJ0C+SNNoqZwcQ4kB6CEhjMEs25rmnYLm3mj6fyI3IYwufN/8SUsAeg3UTYj8H+Z1IgchrSF9DSlMN5numoFXyx9y58R33Me6ZNKAE4IZvQ/78TrcELJnz39FEOP+nEt25Sg/b80G+a3YicLyNRioD2hKunSlxsK2pKCmb1UboGfnYsYeUAHzapwAfDX8Pq+M/waLkHfim33SuD/QRMNsAACAASURBVGB5wjZpI7DS/Uc2pyTAKUyo5rEE4BOJE1APtzCuAkAy8HfO3OAIQEWxNtN/55RW6nP7zHG6/dmxPXR7aVkpZv0yC4EfBXLnqutHgXjtqzexZ/cRAaiTY1MisPc4bt3iB4GxBODeFXEWQGnJEY5gnNxbig/WfAz12BSoVCoMGzIShQXvYNni1dyxDA0jATDGix5GAmCMlyL+jh4AJahVD2vPgfu979pyBODnrU7c419u9aAzAPRVGcg21kHHwUI+A0DX+iyhv9YCtGMdwQL00yGrpZ8vxioD/Xx4ArAnyJkChksdrET9f1DXGp038nN69IccoLnq50bBzgHifZ70PZ64NqAE4KJbUwE4/ejiJwCfTu1iOHDRt9Cdk2uMzRWn/7aY5ctlgtmqBSuxINvibTQY2zgDT3P12FHa1xaz/xnm+CW3k97sf/+w2RwAZ209CVBnffwJsCdyIFbTzzbnEm0/kfuQXgJWArSQkeMQEkG2sYSDtfMkkiTWHYgF/GwvAQH5Rc/7DZZ7q+nxybTgFd5q+v5muGcKUqDV7fpo5wLUMUFllkJi1YGRYFnVAvIUMqBcK8RZp9GqTpBpEpX6sOTPwSKUXgsxVhmCHejryc3pNfWkmQrtVrTkHm+5wodeM2T1swkUruE7LhZ46mICOKnwW8gY6UyMT4eIkrkB7XO4RmCWBLDvv7tZIt5mJ3rHReKpX216P38T5ivcz/18qqxAV876BAd2H6Kg+erJyzwBOH6UAv37jNTneslJoUG4tKwUY7eN1SvDG7VpjFANkFUGLl06xAH8SoYAPLgkzgI4qyAAZL2/fD1UKhXmFBZJnYIMDSMBMMaLHkYCYIyXIv6KHgBZFpsF53mJPTiAf2g+MwSspwrbt/NDwBa+00Iq81FWAJTPIf9W6v/1re3De1IC8DSwmdAAvHn4BxxwYN/PwNY8ATgZ0IwChuNdbAXA0NuntdDsq3QlYaUJs0czGc2k7/HUvR4FOz9Gjsei5B34YOSHXAPwWXcHATxtcuzGZViDTJPgldWGAxU5GXYUqFU0VUl7AXoOjeSafgnIZz3iWXCY0lSDd9rE8sAz2xKoz2SfQxXNvxoLQKXC4WYumB6WhhYTNki1//1tNDTDz2bFCWAnTj5s1jzINImSBkICWGcfko0vdNUOCiMSnhXeakoECHlgfxKSwVYAiGSIbd4lBIWdQkyIApEZLfNKpHMG2AFmpD+BkJmFTOXAK5M/Tz3VSwGVCvdN6mNjqx64r7Hmz3O8ohl4tCgDKvQbSEkP2wvAXkfKHgH/VN4ONGamG0csh7/mKjQC92vMz74Yb5shNALfddG6XJ3oFIxFyTuwJPEbVLjVpvfE932mCAQgK2x1jRMHE0KDufv1ejtzej//Fuyu0wqUtQE9sOc4rh6/wluBnjxBgf6j4wcoAbhaeobrD7hYdg6zfplVo2b8175+S6cjEGkKPnHsmEHDwEqPyUnFyuUfCD0ArNzI0DASAGO86GEkAMZ4KeKvqABUJ8d5Z1ZLDuAfm9UYFT2rCMDj6DqC/GfZrHbS/SsbZXURhMDWvAPQrKmT8cPwYGwZG411qUPw1vRp9LEP0obj3wM74GJUe9zt10cgANuGrOeOwUp3lLrhy+2tKGDY1d1FAAwRvq11VhOU21ysemNh0nYKZN4ftY7Ldn4WNxeLkndga8xMjgAc93QXCMAc22gu6xlkmgTv2X4coPhwwCsUpJ30qS8FHZ1bDxKcfkiGWGkHSgjBtuhOPLCMM+WBZ6ZC/tNDO9H2Se06aJO5ViAAnpkbKBAmgDvLLpNaapJsOqvBV2bgWZcf0sjLugVpbDU0M886DBGdPwH+JENP3kuWXSYF+AT8sxUGtjeBEBNCQljbUlKdIPIhsi+yb0IqyJCwcd1yhfOUEJOHluM/hVP2NhTmjOXPc55lVebfRAU0ez6LQUEAPg0PEJx/WPcf9hogJHBY4DDumvFf1QoPX61Fr603E18VrqsuY6uy8A4WocixryKWv7u14q7h666N6DV+1ceN3hc3fezoPbGr1zCBALzWZ61O2Y/y70hqcCB3v5Z0bqzXClTTo8oJiLgAEUBccuQcbwV6qoSC/KfFeykBuHSulCMAF0pOInBdYI0IQNePAqkUSNdk4IP7eCegZ6eqhoFVFu/Cw/PiMLDivXLXIbYCYGwCNsb/QhgJgDFeivgrCIDMXYN9bOF8bwHkb9/ugp++dMIvnzkKjy2c7603+6/8T5w9foxVhlABWKkZy80AeCdrnFAJ+GnaBgH8l2XvxNro1VLQ4GARivSOAzlA8KC1CQUMP4S0FABDbLv2OskLAVXkp7rdHA7IfB43hyMAa+I/xqLkHdg4aAFOdArGZV9P3PV4RZgAfMTTG4OsUmjGkwB1n8LWHKD4o5MZBWlbwxqKoGOVD7qZqznNN7uI9IU8TiQjT6Yr9OftGelJM4n8x1Y7+Gu7Wwep/Kdfmzc4jT8B8aQhlx3ORSQ97NAv1lOfLDZzz0p9lnklUjDOVgTYqgEB7mT4GDsAjLyGEANyHNIPQMA8O72Y9CWQisbC525ExFWIZP2Xe6sxzz0FWXaZmO2RCqesLTolU17ZG8U5DCPNgExxGjBZFzW2XEM3IXvkvbAVH0IQkmwzhNkSB9ua0mtrQ3Qj4dryy+vEkccg0yTsdPXjruMLbs0oAXji2gCLnpPjk5274bqvE850DJBWAAoiVnPVNuX9xxLjxKCuQlP/l+H++Diqs7QJeHL3/rQCwPYAXDiqmAVwWjsLoOLobkoALpSXcQTg+32bawT+yVr/8yZO+6+sAhxXVADu3DwguP8om4BlBIBUAIwEwBj/K2EkAMZ4KeLvngMQY5UhVACqW+/MalktUNaX1VM6AK1TDAF7MzdHIAD/nvaFlAAUBS8UwAI5/sQQrXXgOwMjuKbBLyLaCoChf+t2UgmQDJS80W89b/UZPYmC/2duJliU9L0Adjb0LRCy/3vdW3D7JxIOn/l8BeC6cx0K0ubFNxMBxzxfCvTZigz5nQVSxBUmvOFoEXQ2rqUlAJ0VzafjLTj3mkmR46Xyn1ynTC5LTwZxsR7+JNtOwDMr8Ym30dDHSfadNAGzEhsiI2KnAhMpDqkIzHRJwzKvRI4EEPtOtkE4y07rGlTomkrnARDXILbXgFQPlnhWgerljPyIkARCdEhzcYFzOjxSP9XbN3E3r7FOsC9bz/KskOuQTrPyrBSIfP+s6xP5/v0W8dfWpkhrem3tbS8ZCPZ2G6Ea9ourP3cdl7o7cJWu1fGf1sghKzlkPneNKu9jMuU4yDQJvX1aGzTTQ9NmCEcAju05i5N7S3HmcClHAJ6UXOAz/eVldBBYxdHddPvmPz4wiACs/OF9HNhzHGf2iRODD+w5jvIzx3WCfdkqLTkiJRIsASCf0UgAjPEyh5EAGOOliD/TBagmBCDINAmv5/gYRABez/GREgl9shmWBPQO5qcAb07oS8H/k4C6Avh/I/91lGb/JCUAbwe8I61yxDZMxz+Y6aFK15D10QECYBjdNUCQESklTmT/bwzZwAGZP0JGUgJws5WdFOzs7NxfIADfuLQRwE83czWXpe262Ltav/aOb3WkgEmZ9SUZdjaLG2OVgR0x7XhQOcmCl/8MVshO+midaypUtaTyn1ZpH3NZdxaos4495CdZhBgQsEqkOazNJjsngIBtkoVnHYNIhp/tCSCWnUTbX+SRzNmNyrL77FThAud02pDMNi2zRIWQFEIuyJRg0oA8MHyWXgLwW257gwgAZlRNBWatatnBYCzoJ9Ufja0G/m+2466dWWNs6bV106mOCGaX+nBzI4JMk7DBkbcCPenhyhGADYMW1IgATI/+iL53lrwqe4iCTJPQo4XY6KtvjfUZzEmACHguO3SeIwCPS6/j6elSPD1TjttnS7lpwE+L91IC8OPeTQZXAFgtvjIzf1YxC6C6RZqAlZOAZRUA9nFDw0gAjPGih5EAGOOliD+7AqBLqsOC2XR1W4MIQO7YXlJdvC6CodymHs1LfL4dFUIJwO0gS4EAzM6dKQX/Zdk7MdV/pnC8INMkDLCP58DAh326cgRgZf9gATD082/HnRvWSUUJ0nMHruWAzJHACEoAytq1FsFO0vc47N1SJADObQTQ06kNPwF46BuuHAGInuUhIQCduPdLQCFpBibVBVYWVJpuL4LKSRbAUFOgez1gskJ+4mtCCcDBZm5SEJvUJV/w4ydZdwLyWfBM5CokA89WCkgmnzyHkAiWBLCPEQkPqTwQ8E+APzvYi5ULEV0/Af2EXJDJv6RiQfoByPPIeyYzBIjFKXktO0k43zEDOc4awQ2ILJ/xn2D94N7C0K/q1r8G+1NZk7LHg+37YN2CWhTyFYD0KY7c9dVlie6JwOS6mtFsCHcdH/P05AjAN33zakQACoZtpMRCZizA/p2J8DWsAjCuZwStALAE4MDe43h47jZPAp6vO2XXOa//J8f3UwJw4+ShGvcABH7UjbMDlS2lBKi6xc4BYIE+6QEwDgIzxv9KGAmAMV6K+DslQAQYjgnsbxABiAoKkEqAZP+WPScteRIH8H8eGkgJwKVeTbWP5edj3pRxWJL9OsqmyCsA70TOlWYLg9143/CNiiFgC2PDBMDQ3ctX+v5lgGRi9AoOyJzt0JESgOIuvQSgs2Lkeql3+hZnH65pV2OrgUdaWw5MZI2z5xyA2qxsKQAOj9R2nNsP+55Z7T/rD399UlPDMs7WtSgBeLdDf53yH5JBZwd2zXNPwYrnPvxE608addkmW1IlII21ZIAZ27BLnsvKekiVg7yegHK2akAAOqkmEJce0shLXsOCeZLVZ+VFhCSQoWCscxFbtWBJCxlE5jrhc+6cBSW9i8NNXfGsVlVvRaVk5gJd00VyUJbmSL9b9nsmlqeslI2AbL9pnblrp/sCL+SnNkfCdGdEzPGA3+pWwvXl1qczBf8pTTUINlXjsAd/LT91qkMJwC/hqTUiAAsSv0d3s2R6r7HEhZUUOliEYkiHjgYRgMKYKMS/kkltQIk85ties7hXclNKAO6V3eQIwKPjBygBuHfqiMEuQDInICrT2XscN2/WDPzfuqmdBKzM8ht7AIzxvxZGAmCMlyL+bAKglObIHDYSR7TjAH7p1Ia4lG6O8+MtsX9JM4EAJI6QuwDpcv5RblMOAfs9rgMlAKXhDnT7m9OnaWcAdKiFq+pZAgFYE7tU+pm6KAYHbQtvTcF/ha9KGAI2Oy4KpvVspRULpTVhjFUGJnblPc0v+3tQArAveCDN+i9Tf4lFyTvwRVi2lAB87tSRvmdCBPwKeYnG3PhmlABcdqsrBRxhHYZw/Q8smCLXAakAkM9yNlVSAdC1snj9f0q/qQIBcJvwOW3YJVaZpBmVAHHW1pPV7it1/URKQ8gC20RMdO0k08/q90mmnkh6UppqqGWn0vufPJeAfNJwTNyE2OoE27dAZEKkAkHICtkP62pEjkuqAj3Ci7hz1mLCBgr+oVLhcV+F3ecYM6BVXaBJLaBRLeF7uZnViGtQZ0keW1ViKwDd+/cxSMri854PWmcGCcD8e1f+Wn7oXJ8SgD3BgwWwvzjxOyxO/E7Y3s2dtw2W/T0JMk3C0I48AZg/MBxfRLTFt6G++KmXN5YO6CWQgAH28bQHgAXjV05ekhKAR2V3cKH8As6XVxGAi2XncLHsXFVfgAFzAI7tOa1T+sOuUkYGdP/Kfjwu3YMnZ/fgcekevUPADFmGhpEAGONFDyMBMMZLEX/FHAB9cqAg0yS8OcOXA/j34kzoHIDT+dYCAXhzhq+Qca+JHIisTr5xHAHYN8CfEoATUe5a6c/USdwU4MtJCwQC8Mng1dLjxTqOFCoApZ1scKmDlXQIWG5YP5jUteU+g7IJmP05NngWB2LutGxKCcC/wtRYlLwDq+M/pa4o99ytccbDWSAAHzj6chruINMk+BbxDkCsBahsWqvPah+MaqwFf+zUXxZEsdn/INMklKQ41JwAjDTjCEDX5JUCAWidspaT3xBHHNLcy3rvE8kOIQkk+84O6mLBNNsXQJ5f4JxOqyYkq08y9CzQJ68h28lsgnnuKbRBmAwgI+SCNAETYrHcW825ExFyobHVYCFDLsjnI6SDkIO5blXypnEB04XzduIVB3peb3VSnPchClvWbHEg2PjmWlDOSoCUk6DJdSGbCFzdavNaJ4Fgbnduo3MWwNEu4ViUvAPLE7biho89HnpaAq4qfBH7D4EATOy5gusbkhH6GKsMhCuagJcN6FVtX08PtzCsnPUJJQAElJcXn5cSgMdld3Cl/BJXBVCu0rJSzP5lNrqt7SbIfl77+i290h+2CnFsz1kc3FdMJwI/vLCPzgGoOLFLm/2/dRAH9xVL91UdwTASAGO8jGEkAMZ4KeLvkgCxgPa1aTwBeNC/LiUAJ9+wEQjAnKld9GbJqztmXy/eBvRw35aUABzp24JuL5qcyRGAS6krBALwWo8CaaVD02aYQXKBOP9wgQAoAQgrU8gKWsaBmMceZpQA/BA1oWoS6rBVnC76tIQAbHXqLExt9ZnHE4DgBV4Y/porNJMckTzVSQRoS3wpuGPlHkT3zzaDkvfvYBGKBzkGyH96axuA75k0kGrZI2MXct7/pDG2SNE8S5yB8h2r3udMlzRKTlipDUsYiEafvJ4QBPLceBuNUE1gHYfYPgSlqw8hIuR9EFmQctAXIQSk8ZiAevI4O9eAdQwi8qBC11QUuKbDafIX3Hnb6hVIz+0dN0XfRZo5TwCSRInQoraxVAJEsvzsbADW+Yls813maxAB8H2jvdBf8k+31ty1fMvFkl7rZzp0oVWwStda9N74tu906TAw8p7ZCgN7/6U01cD7VX7YV1FsOEcANvVuL9zX8S2H4MM5GygBIA45Jw+V8E5AZy/jSckFPDlTjivnSmkFQNcqLy9HydkSrN+5Ce/9sA7rf96EPbtFlx5ZUy7r4MNOA35wUUsAKo/v4ioAly4e1rlPXXMGCEEwNIwEwBgvehgJgDFeivi7ewAcLEIxZVgoB/Af9alDCcDxmSIBUA8XJUDKpY8UxPhpOAJwPNqDEoD9A/zo9iUTUjgCcDHjA4EA9PdOFAiAg0UoRneOMIgAZHaO5QiA8v0rs5/jgpYyDb7bccPHAfe8X8FjD1N83T//+QyAIo4AnPB0EwjASrtuwr593mhnEDhr91Y7CvBZqY8SBBJikGOfiSE2KbwFaJYFEFAPCK8PDDQVMs3oVI+C1MNNXaX6/9c9MiggJ9lyVo/POgGxsh12Ym9KUw03iXdliwQK+kkTLwGz7H5InwAhCUS+QxyAyHbik0+qBgS4Ez0/qT4QJyEliSAkhZ0jkO+YgRXPPf/ZacWstSmpNmTZZcJ1/Cbu3C0IGKwlADYKCdA0S54ASAaCbQoPEr5jtqmWbCfVn3gbDVrPbmPQNeZdyFf9YqwysNWpI3ct33C1ptd6eWs/en888jTXTsiOGi8QgIS2s7n9yv6WOFiEor6JLQpjmfs2LpIjAFsi2gj3daL/IKyc9QnfBPy8EfgR0whceUzb7Hv79HG94J9dZw6dk2biWdtP1ppz165d9HHlILAHlxgCULxL6AM4uK9YOJbS8lNWHTA0jATAGC96GAmAMV6K+LvnADhYhCImLIAD+I8ja1MCUFz4ikAAYsICqiUVSg0vu0a2HM8RgNORLpQA7I5tQ7e/O07NEYALmo858H9y4nY4W4VzEhcq0QkwjABonhMAAkAIeNb1eUJbZlbb4Lgl5m2OABR7eggEIL/ZUA5Yxdto4D3DsOys9wxfzkudlfqwmWGiC4+30WBjaDAPJJMUmeYMRaa5RV0KUr/x6CwSgEmbaZadAF+SmScyHJL1J1p/1nqTSHhYhyAiB2Jfw2bYldl/AvrZRlw2i8/2GJD5ACQ7r7HV0PdMyAbx8merGmzlge1nYC1PyXsmciPy2Yh0qWXqx9y5mxKRqe0BqFtXdAKyYL6X6AYCAdgaFcg1AZPrN98xg7sG2GFwfm+253Xr+S54Pbk55sY3w6QJDsI15vdme66C4GARiqWvBnHX8mkPF5S6O+BYC098OPx9rTyuRRNKAP4ZnszdIwuTtmOQzXhps73y3jOpa4uCqL7cffvErzYlAF+H+Qn3dXpwhEAASAMu6wRUUXyAIQDFNSYAx46cqjbjz4Jx9ue5U/wcgPuXtQQAEgJQcvqotJKgJARKkmBoGAmAMV70MBIAY7wU8SIQgJDOgRzAfxKhJQBHZzcWCEBI50CDpD/K5WgVhqzJ0+gwsLMRjpQA/DuuPSUAqzLGcATg/PjPOALwbs8lOo8/sHW4QQRgYOtwoQKgT+IU6yxKGZTrq34zOAKgnAJ8yMMbzhYhFLARgOU1zd+wCsC0LlzGl3UUIrIKsn/iFLQ73k3U+LMEYIoChE6wwI/xnZA4YDpihxeK/v8p63UO5mIBMwtE2WoAGZbFThAm/QTsFF+yD7Yxl90XAeRz3VKxzCuRZvEJACfbyHFY8rHw+WwAtkGYkAWWHLB2oWxPA7uN7YVgm5XzHTPQZcx73LmLHziD6694pjz3zWprv5ee9QUC8HW/dkLmn60Ckd/ZCkE7RaP51rCGtM/kpyBLkQC83U6o9r1rHyFtbP+mF+8AdMPHnhKA30PixQpAm9lCAzB735HqnkldW2h68MT+oX9dSgC+C/URiX2PiP/H3neHRXWtX48FEIFRURGVDtJBbIiigCCgKBYQu2KhiTDYsCLEGDXGxMSIvSYmpmjURNMsN4m5uUmuoqLSBCmCNVEssYvr+wP3nr3PPkPJ/SXXj3v28+yHYc5wzpkz+wxrve961yvagMpIgKryz1ICcPdiHgX4v5dexL2iXPxRlMM9T2buuSKdYFyX/p/8frk0X0IAztRIAC6VykuMpH0BFAKgjIY+FAKgjAYx/qovUr2m5nWezQzMsWevLY4ctcXRY3Z4GtqIEoCcN7UE4MhRW3y6xwbNDOq+b10zICCMAv38wY74o29z3O9jiOOjfenzO5KieQIwU9sN+IfYj2Go31Hn/qV64dqmc3uHep2/gV5HrJiwD2vjjuokAIfDF1Dw/9xaJQClfVbyx7SIsa8XAbCIsa/39T82sQUPJKMkxaYyfvQTFryms4mV+fh3/uM18b8yW/pM5K7d0AlvcQTg7HRX/tpbMQTAV1/4XN4KMa33OdimOXJr6NPBrSgB+LmXkbDGbNMchX1Mb2stSwA+HziPuw9+87SlBOBE0FjhPhnuM6PO5z1a4gT0h5c+JQDH+rsK9/Vob2+sfP1tnDyZhZMnz9B54VyhhACcowTgXlEerQG4czGfPv8k/zRXA3DpUjm3z/rOoqLsmgnAbX57UVH2nzpOfYdCAJTxsg+FACijQYyXgQDoNTXHxIkWFOg/C2EIwFttuej/hAkW/ycgyEC/A8aOnYSMjAyaCdD6/1f//HLadJ4AzDqI8nnH8X3sRzBpZlXz/vXMsSxCGy084W+Lu12a4U4XQ5zrY8GBhGXDB8BAr/7vIax7Qo0ZgKODUikBqLJuJAClfsby11LtyUswFid2wJL4Dkif1gHhKx0EcKb2tKz3uc/1bcUDyWHNtCDTUCWAzKfpatjPO6CTALQOmfVfB9b/38zm1rBiiqiDpq7nCMDmmEj++ts30X423nrCZzOnd/0JQIdJPMn8cJgpJQBZPZoLa6zDJJFk9jG2qFMGgLXIzeo3UrhPgjwn1fm8XTrwxP5eFwNKAP4R5CIQAJcODrIEIC87XycBeFikrQFgCcDT/FNc9D8//8J/RACyss7UiwBkZf2549R3KARAGS/7UAiAMhrEeFkIQDMDcyxbbi1LAA4fqc4MLFtu/X8S/SfTsFlHTJw4FYsX8wRg8eLFWJi8APkTlnAEIHfax5jVJ6nGyD87BzC2gef6WFCgUOzTlgMJoe5ef+r8DfQ6InHgW1TLzHf+PYpjg+boJABnOjnBUNe+DczhulXbjKnSugkFZ6/GteeAmesWN+j9ic/EpJkZqtgi4HCGABiLBGDtwnE6wb/V3IPQa2793wfW/59MIxt/7vr1id/KEYD0SdP46+/IEIBuIgEY6NC63ueg7sqTzPcjtFazZ7qJVrPqriLJNGlqjvMSWVuukzPOuHoiM+5o9Yw/hmteTpQAnOoXxen/18YdhZGBbT3uOXO8HjmQ3rt3uzSj9/V3EgLweuTA6sJhGQKQdfIM7pdV4pEMAXhWWEStQKUEoKKiApcvX8bFi8X/Efgn8+rV7DoRgFu3/lz0XyEAymiIQyEAymgQ479tA8rOAOMYJE7ujqfBvARo7x57JE7uDpsW/eut96+pDmDKBI1sBoD8/nk87wJ0Lv5jLA54FTbq0Dodw9okGNMDqsHCWQkBWBVFigQHwtokmGqMdV0nqctQ9f5DMXPwJuyI/hiXu7jhcld3XOnihl3jd9ZKABa2715jDYXTQq86EQCnBV419mGoaVvl3JbyBMCEJwBPaon+W6bsqfXYf6ZWpLa/lbpN6XrdT33DscU5hisEJrUCbN0BW29Aeg+stJtGewWwNqKkwRfbzZg4EpF6BLbWgO14PMF3KXf9fCUE4I3oaB7kO9VMAN7qMYgW+voZxtECcNYFiNQAkBqBbiNC60UA7Ed5c3UkCWYaDDX1lRQB2+CqvRkuurvh2KA5FOjrIgBkTnF4hfsMyflKP0dyf8Z2HsUQAAOdBGCEV/X3xJpV25F98pyg07+Wd102A/CssAiPyu+isuI33L1YwBGA8kvluJBfgnxJYS87a6oBkNYJFJ0uReXtumUASnU0A6utF0B9h0IAlPGyD4UAKKNBjJeJANibBuHd1a54MqARVwR8+Igd3l3tCnvToP8zAhAePJmX/chMaQ1A+YwDKJ93HB+P2lovEhDRORRZvbUEoNSnDZYMDUNE51AK/onLSH1AaYL3O8iMP4b3SwujvQAAIABJREFUJ+yiAAd2Knwyej0y44/hyOC5OgnA4vbddLok9TWKgetGLfj63UZLAJbH8ATAfaMHLNVaYiYlKrpAcaeW/Xgb0KEMATDiCcDzdDVmDJ2BBaHTsSQwFuETV/MkYOYBWL74PKTWqaybElugytpTshaWpEiZgEy2gRXZTgqC2dcQB6CFFsnY5TaZHnN/l3E41jMS6x3jOD9/1taTPE96BxACwDYQY5uCsc4+0h4F5O+IZSl5Hdm+3DYRI/qv4q5fQOwmjgAcnCpxaOrEEIAeIgE4Oqw7PQdyTdgCcPJZkCLhaFMNeszlm1h9wEiATnUXJUA+80S72tUdu3Jr+pq9GV3v9xxby0uAAsUOwWOdXuV6DEjJC1lT5P60VQfj1aHVnbzveRlwNQCE2C8fGo4AoxhYGgdTFyCpS05BVinul90WCUDRRTwqv4MbFdeEGoCKigqUFFe7CNXWgEuu8Jd1IsrLKkX2qQLculW3IuBbN88iP6tEJ/CXHkexAVVGQx0KAVBGgxj/DQKgC/zv2+cg2IDmrWyNI0er9f/7PnP4PyEBVuoQLFyQVisB2JYsdQH6jBYBL/ZfUivIZecHNloCcNa9FWzV4msIwNAFzHliEYqVE7/A2rij2Bn9EUcA9o56F5nxx/Bt+EKdRcA5js5wNA6UPY5NNx6cXXNoSsHZG5PNRXDmNZICbBZsSxuYsQBunV8fHkhGMkXA+mIR8INWBhSgruo7XsgCjPZ6hbrokMZfJCJOvPOJXefaFx1yiTsO6QZMgPJy20TO5Ye12iR/v+bFJG5BBNSnWyVhq8tUfOA+CXs7j8du92hsd5lKj7XmxTkS0kB+bnSKpfsj583alJJjkF4F6VZJ2PQiq0C6CK9lLEdJp2DiDMS6C43ovYy7dp1m78fASe8ictxKTIxagq/n+POfjS1DAHqJRcAHR1tzXaDJZD9zlohFqJPgucBHZxHwLz5iEbDnAh/OAtTPMA57rP25NX3dvi1d73ec2lGA/ztXBDxOIAAx3d7iLHwJYZH2AtBrWm3TG+OpzQA88NKj9/WR/m5cBiCyc7VFMHEBkoJyPgOgdQF6WnQRV14UAd+9mCcQgMuXL6P8UgXyZaw9dfnxy9mAZmcVoDi3qM42oHfunEVxbpFOAqArK1DfoRAAZbzsQyEAymgQ42WwAbU0Dsbad1xpoe+16Ub4LbY5rk9rjtObzLki4LVvu9YLeMu9xtt1BAf0fxjTB8UDbVAWaolj4/vR519fMBe7E0YjLy4dN+LWoDz1KMrnHceluT/gXNK36GcUX+vxrE2CEekVil99bSlQuOzdEsuHDcYIr1D4N4/lMgC6OpFKI9asDejWyZ9xBGB/1JvIjD+GL4ctqdEG9ICtK3e85baJ8DOMg31UTw58lbjoU3C2dpyZAM4GjBtEQZ5U/iGNoBMQlz3ZgQeSYyUuQAt4AvC8Q2NtkWqPYQIBGDDgbaGxF9sMjPQCIJF3MjXmGmx0iuXsNgl5IOCZtdAkjb1IozAiuSFEgDxHmnURqQ4hDiTiT4A/Ac1sXwH2PSSYaai1JyvrIX0NSGSfvDdCAth+AqxsaKnNdAQMW69TTmU97xB+SPPhP5uRhkCIAeCnD4wRG4GdmuhIsybsWpUCabYngOfcXtwa+iK0FhvQub04OVyEOgkz2vGNwG7Yt6Fr/ZarJb0/Kt060nvj5+DJAgGYFbhF6OQtJazk/oxunYzlEWEU5N/sZoSHnZviiWdjfCPpA7B8eBisTaolQKQTMNsIjET/pX0A/mAagbEE4HHBGa4IuKy4vFYCUFt0vrAgl4L7P347gydlWXhSmoUnJVmyBKCwILfOmQeFACijoQ6FACijQYyXIQNgbxpEo/y1zSNH7bgsQE2ab10EYXAQL//JH+xI+wBkD/MQMgGfL9wpdAAun3ccw5xiueNJ5S9sDcAv/vaUAFzvrqYgISNsCGzV1aBGr6m5AD6kDYnIsdhGYBtjDnEE4FDEUioN+mFAMo4OSsW5rn0EApDj6Ax7Y+21JCC997w+HPjK8WpGwdn2EW0EcNZ5dm8u+suSF7YbMPuaskRrHkhOlfQBmGHMb3fQNgLb5xoggNau43ZQL33S+ZZo7qXgnoB4ApoJ8WH1+CRzwHblJX0AWJLAZg/YJmCk4zEB54RQEJLCgnmSHVjbKZ4eg/wdad5FpEPSjsYkA5BgpuGkPuS9sESGXIOe0TtqJABlabYCyK9pnpvcifP5l3YAZskAmd7zfbk1dCzAhK6xL4NbCGus1wJfjlRGqJMw3LQ3t55/tzOlBOC6Ryd6fxyMWIaj4an4YWAyPh29TiAAc4ZuE7JU5H5gz1uvqTkm2U6pl71vL+sQjgAQYFx6toJzAdLVCfheUS5DALI5AlBRUcHVAtR35mWVoiA3Txbo65oFuXl12jfbG6C+QyEAynjZh0IAlNEgxt9FAOSKWAnYnTc2uE7gn8x5Y0Wwz4JOXcch26QE4NxQN0oAcoc415kAbB++XpZwEOAQyTQD+zHQkRKAW12bcyAhI2wIrE20EiBW5sACKPY4kwPe4Bx/quwaUwLw7ZCFAsjZO/gVWcvEjZbhQqSz+8LeHPj6uZcRBWd7B7WSlWew58tGg6U6fPL+/jGiMw8kNcY8AYhpzm/vqkcJwC8WbgJo7ZS8h4v0E3DMFs4SsE4AMSvrYeU+BPRLQTsbzSeynYUWydjkHEOlN0QKFKFOovp8osXXmGsoISENvFY7JFDwznYhJh2E2aZlJBtAIv/knAkxIEXD5FjkXNhGYqsdEuA4+UOd4N9+3gE8S687+EeGGqXTrGgGhG3+ZWkcTOsCpM3meqXxBOBEz+Z0jX0cbiqSzAW9BDnZlo58I7Bbdi0pASjv0rnWRnlkvjL8E/odxd570sCCXlNzzOk6vl4EIMZzNEcACDC+mnNFJwG4XXyBgvw/inLo848unBUagV3Mu8RF+AtPlclq/nXJg86ezsft23UD/7dunhVqD9hjKRkAZfyvDIUAKKNBjL/qi1TOGUVXRH7tatd6EYC1q11lQX5dov8R6iT0dOMlQKcivCgBKAyzFwjAvxbskyUA+TOP0GJgKQnxbx6L14aE06LAY/1dKQH4w8tA7BjaZRxXA8BG5clPVgKxbNjHHIh56GhCCcD3YRoB5LwftV6WAHxi1ZeL2EabauD0igcHvr7ur6bg7FiAKM/otqQnRyKItIVMdt+EEGzuEcEDyUUm1dr/1o2qfedjjfjtgdoagGvGpiJ4Tf0C8y01FEyTKD4bcScAmoDktZ3iOUlQtKmGRtRJ3QAB/KzLDhthX+2QQIE2eT0hEMttEyn4J+dBpEMEwJPzZIlGtGn1eUabaji5EbmuhNSQTMFGp1hsdIoVXICI5IctNE7tmAz3KR/oJAATFrxWL/CPDDXOTnagBdLEBYisU7YWgBBDS+NgeMzlawCK3AzoGts0uq2wxrrP8xUyCkdse3Br+Y6tCSUAF3v41pkApA14T+gErEsCpOkytl4EQNNlLLa+8YlAAKSdgMn8vfwqLr/Q+V++fBn3C89r+wNcOCcSgKJSAYTXNSOQl1WKipKCOkf/S0vETsB1OVZ9h0IAlPGyD4UAKKNBjL86AyBHBKTP79rkUS8CsHWTkyzQlwP9BECzs6drJAfwfx7pTQnApRALgQD8tGC/LAEon3ccQxxjZI/vYxXCAYGvQzwpAXjq2VgACq8NC4OBnjkH9nVpkS2Ng7Fi9H4OxNx260AJwC/BkwSQs2X8blkC8K1Nd06iE6FOQtfXeuh0aJGzaOz8ag/u3OSAIPmdRImntEniXYAy1ECa2P2XzihDzqnGI+VjAbzG9cqgEfK1TJEu+Z3o4wkoJuCbaOylgJwF9qwchwBqQgBSO1ZnB9jCWzYLwRYMk78hGQi2sFcasSf7JK8nWQeWlEiLf8lryL7Yfa60q65JsJm5n7tuG70jsME7AjMHzcSX0/3rTQB29POna4eVkpEpLQiOUCfBPdOTW0Pf+5mg3EkPj80biU5TLyRA7HeGn2EcvrR15dbyH7bNKQHI8R1YZwIQ0+1NIUMpvQejTTXQa2qOyW6j60UAhriHUhcgtiA3n3EA4ghAxXUO4D+8oHUHul94npcAlZWhcN/nOLthJ3J3fY7cX4s46Q0LztkMAX2ecQCqbd6+fRZnT+frBPxbN70PVxc36Ovrw6KjJdIWLsH0uBSoVPWHSgoBUMbLPhQCoIwGMf4OCRD7j1QOpK9+w1ke7B+xxT++sRGeX/2Gs2y0XxfJkP4e3p+XAH0/1o8SgBuBbbhtuxNG4VT0ZFSOScS1xG0CAZjlvlQofPQzjENMp8kcENg/sBslAPBQ4Z0RAwSw4GjuwJ2zXCEl2f7qmD0ciLnaxYUSgGz/4TIE4CNZAnDY1puLqkabauD+uhcHvt6e2I4SgKsOTQVw5rWqCwf6iASEgH1pASgBVHfZPgC1zelGHAEYNWa5QAB6T9zORbxZz31SoMxG79e80NyzlppkkuwAAf8kK0D+lgXm5HVkP+TYRGJE5DwkE0CkRCwBIdF7QizWO8Zx9Qjs/gjJIdIf8jyRChHisfbFcYiUSGOuwVyrFFgzXYBt5n6Bu/pacnWlfzv+usc0B0YYAtOMZAlaVboasWaJHOCXrleSFSKPJ5glwn2Hu7CO3He6w32HG7y2uQnP91zUW7gffnHw5NbyQxt9SgBO9htTZwIw1fFVuibZ7wlp8ECvqTnm9YmqFwEIdAjB1jc+oX0A2Gj9rYu/CQSgsuJ3DuTfuZiPhxfO4nFBNu5czKfA/+LrryPPpxdf0+Ptg3OLXkX2rzmyzj/Sx2W5F3mgL/H916X/l2YcPvvwEPT19dGhQ0ekJM/GjOmpaNvWDE6OzgoBUEaDHAoBUEaDGH8lAZCCWV1AfUa8Fwfwy+eo8TS0uhfAjfjmAgGYEe9VY3ZBmsKXvmZMZAIH8r+ZGEIJwF0/Y27bH77NqQ1o5ViNWAjsrHXxYY853CKaAwIfDe7FEYBNwwMFsNDNWkts2KJKuUxH2ogPOBBzsWdvSgAKe/nT5z8YtxOfR67E8aApKO5kLRCAY3bduXOPUCfB/W2eAMzTWFAC8MxMJQK0be4c0CdgivzOgn5WKlI2zaLuBCDdBFX6jShQXR4wSSAAjtM+wXrHOCqvIeCXOPCQn0RWwxbasvKdrS5TqY6eyHFIRJ4QADZLQKQ9bOOtNYwbDwHjrPc/IROkHoH8LZH3sG5CBMCz/QZI5oHsh/xOSAh5jiUYGnMNhvZ/k7tm/aes44jV3QkSUtZDT1uXYd1E+FweLlRzUXJp8br0p59hHEIihsqD/xpmr4QgzgUrwDAGZzq5cGv5qXVjSgCOh05HZvwxvDfxAxwbPAdfRK7AR2M3IzPuiEAA4l2X0+8o6XcGe28Y6Jlj6TCtA9Ang3rienc1Sn3aIM+3A96WIfXDLaIpAWDB99lTF/DokigBult+U5D5SKP+FyZGy5L5nBc/z48ej+xfczjQL5cBYB2A7tw5i8eXsoD8E3hecAJPSkUXIDkHoMJTZfD364dmzQxx5Jvj9PmDBw6jaZOmCgFQRoMcCgFQRoMYf2cGQBrZJnPhbE+eAMw2oX0Abk1sJhCAhbM9awT/tdUcxEWkciB//9ShlAA89WmCDKYz8I2ANpQA3ImKFgjAdMcM2eNEtpiOlRFaILBheBB+CbDHP/q74lCoF9ZEhgpgIaJrd50gmnQmJdtmDd7CgZhzfuGUAFzu6q5tguThSEHR73atRAmQnbcgdXBZxdcAjHvFDmirwnX7pjjRszn6ZjpLorbuSLBKEJo9kc+AdQIiPxPMNLim6VAvqclz2yYUqB6x7yEQAJvZn9PoPet7Txx8iK6fbahFIvbEPYcAfwLeSdSebb5FXk9eQ7aTzAAB6ESjTwgG2R/rQrTaIYFKfQipYH37iW6enDer7yevZe1D2SJnVhZEPgP3uN3cNVsYkkiv6dNGjVE1XxLlt2hcYxOwW7PNuM+cdXoij9nsULSpBk4LvOpNAEK8x3DrP6blSG4d5zk6cpa3Xw3NqG6GFz6P3hdV9o2xLu6wQAB6200Vvi9YQkOO62juoFPW98yjEd6MCuO2Lx82mNqAEglQ8enqIt3rF67J1gD8UV5ZIwG4+PrrsuBfOs+lLRUsP6U/Sy7yBOBJaRbtASBHAEou5grdh0/9OxfNDJph8IChQm2Av18/hQAoo0EOhQAoo0GMl8EGdFmGOwfwi9NaUgJwb6SeQADeSfepdb811QaMjuAzAB9OG0MJAHqqsGzRfLqtNMSKEoB7w4YKBGBTv/WyJMfPMA4z+4sRwZrmUK9uOm0/WU1yhDoJs4N4AvBz8BQKdO66mtHni7z7UFB019ZYAAr7bdw4zbPGXAPHuV14ic82N/TY5FIjQOs9JZhaX5IIN1sDQMAh6RMQbarB2cn2ugH/LGNgjsQKNEBbCHxX3xD2cw7wJGDuQVi2HMhp+glgJo2ztrpM5aw5WdBMmnSxnXqJTSd5DQHirBNPgpmGAn3WvYcAcSLNWfvCnpTsmwB3NnK/htHzs7akrGsQ22dA6m5EshwsoSG1CW84JMI69Qvumn3p2Jte06L2kozMgheF2YQADGkmfE5F0zpwkXN2nZIMCgHR5Pcuq7rUjwBsd8fwloncfTHTdCi3jos62XIEgNh96rovyFw9+WtYm4QK/TekjkOWxsHoYu3M3a/HA50oAbjTpZlwP8f6DkC0qYYWARPwnJ9VigeXtPr/J6XXUFWQg2cX8vGssLC6CViFfPRfKvvRNXO8fYQsgNC5V5IBeFp8khKAx5dEAlBaUCjIiY5+8yNUKhXiY6cL7kPjx01SCIAyGuRQCIAyGsT4bzYCI//QMxbwGYCCZaaUADwKbyK6AC3sW+d9y/2MlWQANqfEcARgzZxkui0n3IUSgAdhfQUCsGHIu7IkI8FMg4ne9SMAUV27c9FSqZyJBVejfV7hgMznI1aioHcQTgSNw9HwVPr8ab9ICooe2BgIQOFnB0/OrSfaVAPv7pH1jtB6pPWksiVWviTtD8C6AX0UFCAC/176QNtG1YAzyIDfNrU5J1cZPXqZkAUYHvoW57NPimylnX3ZYlspsJZ2/yVgmvxko+2kqy/7WkIsyHHZIlzp/kmmgJUPSbMFpN6AyIdSOyYjQp1EJUjE4YhYgRILU7I/kplI6ZXGXSuHOftxR197TQt8bfjrPUHSmyHRSPi89g/xEpq9kfVEXItYeZmfYRzcM/kMU/fNrjWvr0x3QWK3vWMgt44vdrLFH7bN8YdDtRXo1sn7kBl/DOf7hslmxqgF6KhPapUTknuxn7MHd79m+dlQAnClR0vhfp7kNhqWxsHY9eYerghY6gD09GI5LfR9nnsSVyuuyEb/y778sk7gn8yzu/bWaM/JdgG+c+csnhVpCcCjilOyXYClRIIlANJjKQRAGQ11KARAGQ1i/Lc7AUeokxA7vhsH8M+/3ZYSgKogFY4eteW2x0/gI+VyP1nQIT2mtAh49dwUjgBs02i3/zqiByUAj4LcBALwUfhOod6APE7uVz8CEOfnKwtCpPuNUCdhhG1anQocvx+QTAnAM5smQjOwc47OCDCM4fbf1ygGbtvrRwDcV3jRDAD5KSUvLAhcajMdSR0SRScgl6ZawGkn0ZwvNsHz5o2Q38YKb/uOQa9p2wUCYJeyj/PbZz3+SWSdgHO2MRiJwrPFuWzUn4BwkiVgI/RSEsE2/iIOQeR3QkyI1IiAc0IcpAXDbNdiAujJ3xGJEJEESW1KNznH0NcttZmOXqO3ctdqYtQSjlA9miyR//TV134WLRoB6ZLuzOlqhLaYJEi/pNIf9r6c2CYJ7tv4tXO6uyF+t2mCn3sZITXFQlhbLm94cGspQp2EDRadZUHv+ilfYEPMV8iMO4rM+GMo796FEoA832Dh/lg6dm+N3yPszwEeXtz9eqF3O0oALvRuJ2YAvEbC0piXAOVlleLi+TKeABSVUALwLO+0FvRXVOBKRTn9vfSjj+tFAAo2flijZefZ0/kcwK+6cIISgIdXTgsE4OzpfGFfp/6dCwMDA4QNGCwcQ5EAKaOhDoUAKKNBjL+6D0CdSECIDwfwT28ypwQA/VT4/pA1t335K+4CQK5J8iOtP/B25fsAvLp4EUcAPonXbj86LpASgKd92gkE4Ke4/cKxCOmYN6B+BGBOaAAHxOWyGuT5yBbJeCfm21oJwIHIlZw04oKjvQAUwk370GMQiY77Go/6EYCN7pyVqNT3n1wXQhDIc7fntuJBZ5iBFnTqq4B5ElA6xxgTFrymu5Pt3IOYb5tC7T9Zxx+SDWDtOIl0h0Tw13aKR7SpRiiyXWozHesd46hUiMh7WI99QhyIDIetLSASILL/jU6xFPgTCQ85F3JcaW8Btq6AbGM7A5P9rWVIBCEcSe1TYJ16kLtWe9yDKPi/btwKzxdLrnV7Rv/fuakQ/X+apuZIKZGSsQW/pBaEfN7jfMdx68Zzuxvud2xMi8xfn2ourC3nVz2FDNh+ax9hHZ93dkVmDK/xv+tqVqM97psTDum8f6WPY/18ufv1ao8WlACc9LMR7ueF/SJpBoCVAEm7AD8rLNQ2+2K6/f5WVgzknkBV3kk8yT+NsoOH/lQGoPh0mQD+87JKUZbHZwCe52sJwINrIgEgGQBppN+vr1IErIz/raEQAGU0iPEyEID+Pn04gP/rBx05AvCvTyy47V99ZY8A4xidkTpdRIBMK3UI0halcSQge5gHfo3qjiMTgrB2diJ9ft/UYZQAPPdugvK533EEoGjWP2CjDuWi9OQ4cyQ1AGtGhOK9IX1xYEA3HBzQRQAMaYP7cwW5ZH9y3Ukj1ElYLukFIDd3RH/MEYAyBwsBKCw078FFbyPUSei2qptOsO+X6QyvrRLZxg53TDBL5LIhbBdY9j2RotQEMw1+GS3pCJws6QgcKerOf04TC4DZ2XPCdq74lkTtiTSHROgJYCbgnXj4s0W65DVsxJ+QA7KNkAe2wzDZD2sxSjIHGvPqBl8kY8DKhAhRect+Gn0NazXKvg+WwLDdgslj1gFoaJdXuWvkOuNT/KHXjBKAEz1ca/kcDIXPoTjekhZ5s9kd1gI23SqJe03fUWHcuhmy0oGCf7RVITrdVlhvnRK6CY5CP9t7COv4x55DuLW/aeohCv5hp8I3Q8Ws2SuDPxQIN9vJmD33BWFB3P36wEuPEoB/BLkI97MmcAAsjYNpHwACvPOzSvGA6QFQVZAr6/V/q6SQkQadQEVpaZ1rAHK9ewk1AGwtQOGpMly5fJ6C+7uV2RT8I/8E7t84o9MFSFpY/NEHn0FPr9oGdIZmDjTTZ1XbgDq5KARAGQ1yKARAGQ1i/F0SIBYASqP1AcYxOPC5PQX4xw9YcQQga1t7oQ4gtDcvl5FKfXQdizyOnZwiNPySmzuSoikBQA8VrqTs0dkMTArQk32GcYDgx0BHChjuyhQNvh45EP7NY2XPWY7MLB7yYe0yoLijeGRvRAnANfu2Alj41NKHcz3xM4yDd1pvvsh3vQu+DG6Bckc9oK0KE2WAWlhUOCe7YrMARLcu7RC8xGO4WAfQgYk8u4qR52fpatjPO6CbBKR+gdkWWnvMBLNqwE20+qwFJ9sJmEwCyomlKIn4E0BLADjrAiRtGkZIB3m8yTmGHpt4/JNjECLA1iUst02kf0OkSWwdAjlHVsbEngP7fqNNNeiUvJe7RgtCp3Pyn99j2vDXuT+TiTFQAXPFHgBfDupNwbFU6iWtByDb+yzw5dZMWmJHzmJWrticdQCKNtUg0HAKchxF0PtFyCxu7X86eh1HAHaP3SLcH1OdltLMBbnPpIQ7Qp0Ea5NgrIgYSO/VtZEhnK3v/oHdRALgE0klQGezznHAme0BUJV/lgL9u0V5XA8A8vzT/FN/ygWIZACEYuBTBais1IL7ezd5AnDvd5EAkD4A7H7I+9m8YSdcnNygp6cHSwsrZCx+DRPHT4GBgUG9/3coBEAZL/tQCIAyGsT4qzMAUv06SwZY0L5mtSvXAKwqUEsAzr/TViAAiVO66Yz4S4G43OMhIZPrRADeTk3hCMD1+LUCAZjklcJFucnxp/TiMwAHB3SptRlYL+sQ4dpIryMBVAsi3hcAzdbJ+3BgxCocHrKAPlfh5UkJwG1btQAWDtn0oDajBLj5DwsXpBp/WGilGm9PbCdmB5Z242Q/5DwTzLTAWaoNn9ImCVXSOoBACfhMNRbA59QF6ZzsR0oCxvRcQo9H9PTkJ1vYSwA52zuALd5lswUEpK9h3HzYomLW2YdE+4m8h80AsNIeQlJIpJ6VDLFyozWMtSnbGIwtFpbWJRBikWGXLDT/KmhtRcH/WXN7/jNINwHMGRLmLJIwZKiR2TWSK/hlG4GxVrCsLMxjAy8t+yysJV1TeZ7NZB2AJrbRfndEm2qQ0s5bsADNd+yEXSPWcvfCscGzKfh/Zt8E62O/5ra/G3sE1iahsrIfqatRon0sd5/uCvfl7uUdQ/2Ee3mIe/W+2QyAXA+A57lZFOhXFl+gBOCPohxBGlRRVoYL0XXrA6CrEVjhqTIU5OZx4P7+jTMcAbhbyTcFq6w8i+xTYh2B3CTEIMg/GFaW1vX+36EQAGW87EMhAMpoEOO/XQRM/rEnx3ThAP7DIU0oASh81VQgAGmTg3RmGaSOIdJtlsbBGBgwsU4EYMnixajybkQJwM2JC8RC4LBtslH6mM6jOEDw/pA+HGh4b0gfsXCw8yghYyIXmYxQJ2HpiL084Bk0iwKeJw4GWBdbrYc+4xdBCcAjG30BOJx0cKHSB6LVHmaaIHRr/aevMQVrP/YxFsHai4ZgROdPIv+sDIg4w5DGVglmGpRNt+LBpUYiPxloIIDPa4s7YuCkd/G5ix/e6zJIIAC2sw5gvqXWP5+13ySRcRI5Z2VBLJBmC2ylPQXkgDghDqz3oe2TAAAgAElEQVT+n/XuJ8W/BOyTcyLHXMtYiK7pFE/7A7DnzRIplmywmQHy3kjGInLgKr5jcsJ2XDU2pQTgZLiz6LbEXv8RovznWZoa/YxiOHtXVi5DyCqbEYrpIHYALnPWp2tq91BTcU2t8xDqDN6z6MOt33KHjoC1CneczFDk3ZcC/Wz/YfR++N3TViDLKyYcEMg2W7/A3msB9iHcffplaGd6H1d5qGSbgAU6hFACQDoB52WV4vcLTAfgS5UU5CP3BH4vvUgJwMMLZ2WlQdWdgFeKciDvXshPW6ET/NdkAfrg6mkK/p8XnBCi/1cqznONxNiGYtlZBfj1p2zu9y/2f4umTfUQMSyq3v87FAKgjJd9KARAGQ1i/B0EQM6JRwrKpU5AlRMMKAEon6MWCEDs+G51JhhSMG1pLDoB1TRv+rdimoFNFAjA0XF7ZLMREZYTOUDwzohQjgAcCvUSQMPkXgO4cyagn30vJCoplQDtHbVGVvJwOHw+VweQ79iJjxw6OmOkOoEDPH6GcXDfxIOxtye2o2DtfodGsnUAvi0mcZIPVlNNwD8hGaQ514Yew8QIs10TLQBt11h0oAnW9gR43LgpeieIjkDDB7+JLc4x2OQcQyU80aYa2gmYRONZuQzbzIsQBNKIizgLsQ4/pDiY9AsgNQBsRoC8lkTwiZUnuy8C+Al5YP39CXkg29k6gIUWydjoFEuLkaVZjLl2M2QzJJ1m78e80CT829IVVQsl8p5uTPdfYxUg3Z6hxtmJnbhIOfmMCfkja5UQPUvjYPgPHcxLe1Y7cvr/mbMsBQLg9KIAmM0s7LJy49bvb3attb0unNrS++FKF9caHYBeHb2H3lu66mzI497WPAH4OcCe3seVXZvLFvUPt4imEiCaAThVwEX/n5Re5wjAtUtlFOg/zT+llQZdzBNsQQtyCpG763Oc3bCzuuCXAf5yhb8sIZBmAB5VnKIE4FnhSdkC4JoIRZvWbTFlUhyWLFqB2KkJaNGiJQwNm+Pr/d/V+3+HQgCU8bIPhQAoo0GMv5oA1FQMzALzlDg+A3BtuhElAL/FGgoEICWuiyD7YcGydEpJyOAgkQAsTVuEzFnT8FHCKK4Z2IUwBzzqpY97QQ64NS5FIAAHxr0nnIufYRz8m8fijRE8KKjsakiBw88B9gJomNJ7AHddpICElSrEdHuTAzQbYw6hyq4xBT3HBs9BZvwx7Br/nqQQ2FLIAsxu580dw88wDv7J/hwYG/2qHQfYJqfZCIAtOIFvXMZKgUihLesRH6FOqpYBLZYQgBGGfBR6vCQKPd0IzxtpNex73INkHYGWOWkLcokMiIB8IuVhbTZZO1B2svp+YsVJwL3GXINNzjGUEBCgzxIGEvEnFqWEHCSYabD2RYaBgHxCJIg0iLUWZWsV2AJjkuUg7zNCnVTt/DOrhlqJeYfw2aJgkXylGlfXALRqVN2XQbKd2H+yun+pzav0fos21cBzGV9Y/kpCB7qWqsxU8F3nLKwnr/gAro7AzzAOJx34tfuHjSFd24XefZEZfwzrY7/FUwd9ei8cHzhdIADLR+8XJIlSeSL5fabjVO4+LeyltQAt6mUm3MdLh4XBv3ksRwAKT5Wh7Nxl3gK0uJwr9L1cUUEtQJ8zxOBWSaFIAPKKdUpw2KZcss3AThXg1i0twH9cpu0C/LSEJwC3bp5D9imRRLBkYEh4BDq07wh9fQMYGxmjd68++PiDfcjOKqj3/w6FACjjZR8KAVBGgxj/bQkQmavfcOUA/qkt5sh5qw2ytrbHj/usBAKwbVV3nQW+tcmN/AzjMMFthkTrr8Fzxgp0K9MLYNmiBchIT8f+hTsF8F8+7zh+iflCkB6RyPfc0IEcMCjqZVYjcJjyIgPAghFWl8zKmka01GDtC79zMn/ztKeg53zfMFoI/MChBR46mKDUywslnaxEBxU7DwqyyDUa1musUAdwy7oJBW3bR7QRAJvHu55cYSiZJOpPMgBsoehCi2ScmtiJB5ppJtUAlBAA+yYiEO2sRwlAlaoRBk98W+wLMHM/Muyqi20J0GY795JoO9sZeKXdNGx0isXaTvHCNkIISOSd/RsS/Sc1ECRCz8qLWOkTIR9v2U/jIv9EDkSkQKsdEqg8iGQK2MzBSrtp2OoylRIXQjgGDBSvBzud5u0V6y+kn4HUhjVDjesz29DPk6xNUgOQbpXESYIIKY8zT4K7pLfEsQATupayuxrKOk6F9BjNEYxY0wS+ANjRCVXWjSgB+DEkgdbCFPbyxz2X1oCdCntGZwoEYM6QbbL1SHLPxfbhJT4fhPfGsf6uONvHAoeD3YX7eEbvSLqfNau24/TJs8jOKsD1C9d4C9Cii0yhr7YHwLVLZVxm4EZZiUAACs+LIF8XQOfkPy/IQUVJAecC9MdvZ/Dg2mncv84XAJeW5HB/J7dvXdmGvKzSev/vUAiAMl72oRAAZTSI8TLYgPoZxuHd1S4CyK9p7v7AoUaQLyc7Ys/JSh2CxWnpnNb/mU9jSgAOTA0XMgTvL1ovSwBK5nzHWYGyU9NlNAcM/hXgQAnAHRknoLRBA+n5s1FPuRmhTsKb0V9yoOacXzglADc9rOjzOyfuRmbcEWTGHsZ5Z1fRQ72TM0aoEyloizbVwFLdX2jadDCkBQVtJS76cN/hJhRtDm+ZSGUuqR2TufNlm0SRyPBCi2RoOiaITcGCDfgsQExzfvsMY1Q1bURJwOn2nWCb+rkAdN2nfYyldrxd5toXIJpE/FlCQCL8bNaAgHI24h5tqqGvJ5H+jU7VLk6keJclHWwDL9YqlET92VoAEu1no/psbwC2sJlkI0hmQ2OuQYZjsqz0h537FoXoBv865vN0NZI6xnCF3KQmgV2z5LHGvPpzDvEew62T7ptd8aBDI7qWMseaiQRghzv6GsVwa36PDd8BuKSTFZfd+nTUOsEFa+fE3VgfK/bMmOuzht5r0uwd+31hbRKMFZFh9erpMdlmCv0OWLNqO7JPnkPhqTLcuXiTIwBVF/IoyH944RwF97+XFnEE4Ep5uUgAzonuPrqAubQQmGQBfruaK8h92Hn9Si4t/pXuvy4FwUoGQBkNcSgEQBkNYvwdGQA5OYt0ZizwrBcB+PIrO9i06M9r7mWcc+T0/+T3eZpFHMC/HtSWEoCfRvkIBGBD2mpZAlA+7zjmu7wqW7g73XM8BwwODOjK1QGsi+jPbV8VNQgBRjECmJKTOkWok4Q6gMNDFnB1AFsnfyYAnx97Dpd1EUloOYLqtsmxXN7lQdmsmZacDGjY6w4CcBvtP5qCe5K1IA3GUjtWdwgmEWMCHBPMNKhItOAB5zyTag16u8bVkiBpo6oMNZ776XN2lksCY2XBbtjANRRAsxF7At5JoS+JqJPXkEg+kdgQ4L7mRXaA/B0B7WwmgABysj9WWkSOS3oOyFmSkj4CrAxpDUNCpJkDQrqW2CfBZjZPhPpPWYd/d3RF6OS1dYv+65gPF7SipI4tACafKSvXYddAz8QAbo1oZltx6yhymb2YTXqjGz0OWUcnHHjyesO+DQX/j+2a08L32ubauKOwVWvJttz3Bnm+l0T/X9tcPmwwrE20+2FrAFj7z8fld/Gk5CqeFRXj6YVc3C4ukLUAfZaXJYD/8vIK5NcS6ZeV/khmflYJrpQUoPIWD/wrb51DRXEBlf7UdAx2G2s5qhAAZTTUoRAAZTSI8VcSgJqi8dJ/tgP79K4XATh6zA79ffpwQFkawWOPLUcGkifN5wD++aGulAAUhtkLBOCNtOU6CcDGfusEBxFL42CMsuMJwKbh/TgCsDeshwAgZnWeIBT/siSAfTw7iPc23xn9EUcAvh6WLoCfXSPXyxKAtR07U7kO1e7H9edAWY9NLnjYXhu53TCmrQDcPDM7c9F+AgRZUMVqx8nxEsxlsgDTjGSBP50LTfDctDElAA+b6iNw6gbZeoC5djM4zT/rtEPkOQRgEyJAtPqELBBXIyLHYS03WUtQIh8iYJ2A/rUMcZBG8gkBIJkFYlFK6gbIeZHsADknkkEglp+2Kfu49+4wZz/OtbMHVCo8adwE7/QegwOLAvnrOMsYSDKqlQAs8BzAETlCOqRkVWoH67KBXyNL4jvgjmW1rWy5k56YSdrpjiF9RnP3lJz//31G/1/c3adO4D8z/hjenvQVJ61jv0MEqV3n0HoRgLTASO47gBCAvKxS3CzkCQCZd8tvcgD/fuF5rQXohWyBAFwsqhmQ10YKik+XIftUAUpLcrhagGrLz3MoK8mps+2nHBkgLkGKBEgZDXEoBEAZDWL83TUAurIANi3649tv60cAIkJ8ZPdZm/yI/OMfE5nAAfx/jAugBOCun7FAAF5Jz0BZ6hFcnvm5QADeCVgrSzyGW0TzACEqDPe99CkB+KlfJ9EK1HeAEImUEhjyuK9DnABuKt06MnUAg0QApEMGlOXgLEiMpliIdqCH+6kpAShzlpEB7XDH0DZaIiH1VGf1/6Q4mGwvk2YB6jKjm3NZgBwzWzjO+ky2QdhS5yQqw2FBNbHVZL37iRSIRO/Z6DvR9m9xjuGcfQi5IPsjf8f2EdjkHEMlP+QxAf8k2k+kPyQDQIjCesc4rnMxOb90qyTMttDAZdonwvve3GMYd3129gwTiZZn0+qeC730ZfsuIEONqsVqJJprXX9YiRpb90DWKCEGvi0mCWvIfac7umx1RfIcK8yZYSHr/z+8ZSK3Zt40H8yt13zHTnjOyH+Oh4qFvrrm9AGZtd5b5PG8fkPrRQCmekZx+yF9APKySnGf6QDMzt8rrnMA/0nBGUoA7hXlCgQg93yR4PTDgm454E40/NXdiEtw9er5GuU/V6+c54p/pdafdakHUAiAMhriUAiAMhrE+LsagdVlvi0pBP75Ywucf6ctitNaIme12AxsypgeOvfFRvCk2Qbye0+3KA7g704YRQkAeqrwxvw5dNuh6IG4HNQeVd5N8WBATzEDEP6u7Hn4N4/FyhG8fpgtBC72aSsAiIyQobJyIlJ4yb4X/+bxQiEwWwdwx7UdMiXbt03agzzPrsh1dOLrABydEWg4hYuCRptq4L6FB2czZvEyoPEZYldgp7ldaORf2i2WPE+kJAQ8pnZMxhZvGUvQumjTfXgp0Kfu/WU18DZzvkCGXbUjDymkJQ2zSHSeEAHW5YdE/kkkn7UHXe2QQCeJ+pMaAPI8kQixUXxCRNa+sPckxIMQCjaLQAjEWiZrwZKRlXbTEDXkLeH9Jgydz12X/LZWeCK19Zwo8f3vqSd7jU9FOwp1HCQTwH6uUteenvN8RYBfy3R+1V2I0B+07ibx/+/A6f93jX8PmfHH8PGYDXh/wq4aCUBM1ze57wqWkLKZAGuTYLzB3r9RYfglwB4HQ7tg0/BAvBkl1gZM8OYJ/K439yDr5BkUZJXikQz4f1R+F5creIB/paIcN8pKUFlyAb/JFQC/0P+zoFwK/msC66UlOdomYNdP41H5KTy4ehp/SDoAVxTrjvazhKImQlDfoRAAZbzsQyEAymgQ4+/MAEhJgVQalDhgsE4r0N+nilagIwb41CnyL0dGEsw01YXAixdTkL96bgpHAN5PHKfNDoz1p70AnvVuhfK5P3AEoGDmEfQzihdAu6VxMJaGD+YAwvFAJzz3UOFGdxP8GmAnAIhXQocK8iVWB80+Z2kcjLQRfB3Al8OXcDKgD8dtQ2b8MXwwbieuerrg+QvXlKJOtkIW4E3zwYIjSufhIRw467rFFbetqt2AfvUxwrhX7EQQt80dceZaYM9GiklNAIn+E5CbYKZBP6MYPJVagrIz3QSIMgSmS+Qqi0zwqL0BB3YzguJk6wG6TniPa6DFuu+QSDwB8CTqzhbgkog80fpLi3ZZ6Q8r8WHtRll5kdTfn7yOEA1yLPJ3rPyIEImZlimwTv2Cr3uYtAb39bTX5L6eAc7Eu/PXbYEJ0LYR7/s/W8wAPE9XI8E8QRbgS8kd61g1vGWiUEhelxnsM5ojvAGGMTjfiV+rt23VFPxXunSk6/9yVw/AToVb7hb4x6BZsvr/ES01HGmRk/74GcbB14bX/9dFwjemeyhHJogE6FJehWz0/155pQDwa5t5OUW1uvDokujkZ5XotgAtllqAih2ApRajNTkAKRkAZTTEoRAAZTSI8Xf3AZDz6ievmTKmBwfwL2a0ogTg4ZAmshkAObtMXRF/aWrf0jgYc+IXaLMA6em438eQEoCj4wPptg+mjaUEAD1UuKL5VLYQWO5Ymn68hWBmZDDWRuouLFwyaLDO98WCLbL/qU5LOYCzaepBPLPXowTgp9DYF88fwlNbPQqabti3EQjARktP/tzNNUi0EDu4JqVaIWxVpxpB3PCe4wT7UiJbkUqB2Ejv3oG95MH/bGPArWk1ULVqXG1TyUpUko1R2cwYUKlw2aQNLXiVqwdIsZoBjbmGc98hIJ1E4kmEm8hwCHgnzj4EoBN/f1a6wzbwYp8nUX/iQEReQ2xH2Y6+hHywRcGEsJAGZsttEzHTMgVdYnZx79E3YRuuMd1+oVJhdniKWPjbU4+P/g9uJnvtc6Y4UEkX29mZ/dzkiIFN9z71Bv/u26rdf9iuwgktR/Br1dEJz6wb07V8yn8kMuOPYcvkfVwvjB8GJgkEYNXEQzqlP9KfGp9I7t5kOwDDQ4XMiGDh/g135x3BCAG4WnCV7wFw8RKelFxDZfn1ehOAwnPVkX9SdCvnziPXCyA7qwDFuUUcyH928SQlAI/LT+lsAlbfSc6jvkMhAMp42YdCAJTRIMbfYQMq91jOeSMixIcD+Nnr2lECgH4qfH/Imtse33+oLNCvSfvPvt7PMA6Tw2ZzMqDCMHtKAHLDnenzK+fP4QjA75NeEesA/NcKBMDPMA7TO4+rl4Z4xfBB8G8eK5u5kMoVLI2DYW0Sindjj3Agp6xHdzxyNEJB7yDsj9I2DCvu3ouCpoc2BgIB+MbWmYI6EoGNUCfB443O9QZyXUeE0mg/WxRKP2+JCxBxlJnRIQkPF7QUgai/Pg9W/cUmVbvHhuF0e0d4J+6s0QLTOvULDB38Npbba4E/212XFPUSaU66VRLtH8A2+0q3SsJWl6lcMy+yD5JlSDDTug8tt01EgpmGkwERYkGIxBbnGEFaxGYmSHHwKqdp6DrxPUHq1H36+yhu1Z4D/xt6RmLZwjj+eo2VNFuzbSJ0XEaGGk/T1OhvMkXo5cDWeLDElJ1S958Zsywx8M2aiWPvxb25bJelcTB2WQZw6/SCoz1XALxn5LvIjD+GI+HzuOzXexM/EAhASo93ZAMDcs/N7TeMuzfP9rGg4P+37sbCvbsqahBs1fx3DukDcKvody0BuHSba/R1s7SozuC/oqIC2afkAb5UAiRbC1DAW38+LzhBCcCDq6cFAlBYkPunCIAiAVJGQx0KAVBGgxh/1RepXlPzes+uXTtwAP+nPZYcATi5vT233du7w586DjsHhUVwBOCHMX35QuB0ba+Am/6tKAG4GxElEIC3w5bIHsNQ3xyrZLTCNU1Hc4d6vY+V0Z9zIGdH9MdYH/uNAH6ODJ7H6aalMqCzjk4wkTuGiTncZJxaappOb7tAz+DPfS5tjduIhaoLTQDzxjxoncD3Bniersa/FvWA07y9NROAF9Ny5mfQU9v/x+vob59qe1jOEXseeCfuRJFpRw78H3L2ReaCMXjGXs8UY8CEuY7NVYBGXvpj2dL0z52jZM30Xu+C+x0bo8pMhe/9TBCxXLT+dN/pDrWnpbCvnRb2ss5VhwPj8f1ATXWPi/hjKO7Zm4L/3zztZOU/hvpWdX4PsX6+nP7/NtPJ+5SftSjfGxoi3puvv42TJ7NwuaCcs/9kff6vXSqrMwEoK7uEkyfP/OmZk6PV+d+7mU3BP/JP4I/fzggEICen5v3FxsZDpVLh6NHvZLfXdygEQBkv+1AIgDIaxHiZCEAzA3Ps2WOLI0dtq0H+UVs8DWlECUDBitYcAdj5ng2a/UmASaanhy9HAD6cNoarA1g9N4VuOzPUkxKAx4HOAgH4ZPQ6nceZHdqvXgSgu41zvd7H9LDVdXI/2Tzlc04G9JtdawFU7bSUB8SdVjnXOwvQLsr2T382K4NlsgAJRkAzBriayAPXx+kt0HneB5zsJ3zialkSYDX3INqNWQW9ZiLwfOmmfke0CkyElUyBs3/sJlxq0Y4D//+ycceDha1EImUhIVLD5aU/P0xS/7nzNDCHyyZXbi28PbEdVzw+Qsb7322bmyxp3G8tEoCzLu7IjPmaW9us9O2X/tHC+p8XsbVe72NaQF96T24ZFsDJfw4M6Cbct2EeXuI6fkEA7pZqm4A9Kyqm4L8qLwuXKypo8e+jgmzcK8rFzdIiXKmQaQBWePE/IgAnT57BzZvV4P7BtdMcAbh7O5sD/zdvZte6L4UAKON/bSgEQBkNYrxMBECvqTmioy04kF85wYASgCsaY6EOYNIki/8IUNnbdeEIwMoFqUBPFZ75NMalEAtsmBlHt30xeRAlAM+9m6Bi9jccATin+RKG+h1lj+PSwUEW6L8VFYYPwn2xeRhPEFZEDoShft3fh4f1gDpbIBZ6+2mbJ9k0FdyAchyd0FLmGGovS1mQ33mbG1JTLHBgQEvBEtRthxv0jP7cZ2Oo3w4VM2VqAcKb8eDVvHF10zCpbWW6mpKAt33HACoVVvhP0tkh1zL1C+iZOv33Qb6uqbaHpZy96YvpF7cZvxuqKfj/xdoVVQsk1yXdBHBvyl+/bvKuP0/S1DBpZvanztV8JO8M1W2LK36zbUrB/y8+RrJrySJOzHy1bGqOHMkazXVyxnsj+a6/R8LnSorftwvRfyODuhNSIwM+c3ekvxsF/1UeKtk6Huf24vlXE4BTfAfgghzZDsC/lRVzmYHrMpmBc2dz/mMCcPVqNdB/VH6Kgv9nhSdF/X+xQgCUoQzpUAiAMhrE+LtrAGrT6E/qPZwD+JdS1ZQA3BupJ9MR2B4BxjGcXl7q5CF3LKIvtlKHYOH8NI4EbEmZitfSFgp9ANbOTuTqAG7EvClkAeY6L6H6YVLwXG3XGYtXh4ZhVZQWLJz2s8YDLz3AQ4VfA+wFMJESOEB4D7ren3/zeLwbd6ROBODg8Nc4GVCZg4UArvZY9aTvgRTvDm+ZCPfNHhxgG/q6Ay456VFglzDfWgB13Zf34Owi2X2yx/AzrC54ZZ2CFlnFi1KgdBOgu6R41b4JsEieBCwPieai4p+7+MFl5h6dBcKuiR9jUodZVHtPOvCS4tvltonY7jKVWoGyhcCrHRKw0SlWcAEiPQCI+89qhwRsdZnKPU+KgIn7EHEUWuSQArfEj3USF3YOH78KD5vq43v7LngqB/57S+ooLBtXZwRkpD/zrWK4mg22JoTUbJDnSKfnCHUS+phMgft2fg0sj2nPRf/jFojrxH27OyaYJXLrwdI4GF/Yij0rzrh6Cva2l7p3ZeQ/9sK6Twh+h3PRYovq5b4n0kKG6LTvrfBuJdbuRIbB2kQ0O1izajvysvMYAnAHz3NPUpDPdgC+ezGP7wD8IjPA6v9JB+CCE6X418E8HNt7Bj8czEbBCXk7UG6eKuD8/5+WaAuAn5RmceD/+pVczgFIl+1nQlwSVCoVvj/6s1IDoIz/iaEQgP/hce/ePaSnpyM0NBStWrWCSqXCjh07ZF+bm5uL0NBQGBkZoVWrVhg/fjxu3LghvK6qqgorV66EjY0NDAwM4OHhgd27d/9H+6zL+Ds6AdenF0DilG4cwM9Z3ZYSgOeBKnz3tY1AAkJ6++osBpYW0MqdT9K0OQLYl53p6bjna6StA4gcIxCAhV4rZN1E/AzjkN53NAcY8nzb16ugUO59sWBpSdj7soB/2+S9OD4gkVoiros9jD8cTSkBuGNrIgCs847OGKFOFDoQ+yT3qzGye7aroWxjsCFmMVxDMOIwlNoxmYL9CHU12GZ7BySYafDNYF8xQr3IBLBrwoNZ16aCMxAy1Hg+rBmeNW7MkYAiUwuETVqjG0zPPQj32A+x2J4v/CVgPbVjdVdf4sNPCoAJeCeuPYQAkCJgUuxLHpPCYlI4TF6b2jEZrzol1xn4szN64mJUyZAhpJkAzkz0v1UjYKZ806+j4b05dx/ymDT6Yot/WUIXoU6Cx3Te+af7Zldct9eukfNdmsl2/u0aFULJBHEaGquO4br/FnayQ4VDB3wUwUvedkZ/hOd2jSgB+GdovHAfjHV+lSv4lXMOI/dWgFEMF/1/Z8QAPPFsTO/XHwMddRJ26dy26lNcOJev1f+XXuOi/DcuaX3+H13Ips8/YDIDZBYXlaLgRCkObjmBzTO+592/ZnyHg1tO4PSJfJ3OQBUlBToLgB9e1hYA37iawzUBq8n+kxCAgwcOY8jg4TAxNoGxsTGGDRuJn88U4N7TZ6h6/rzO/zsUAqCMl30oBOB/eJSUlEClUsHKygoBAQE6CUB5eTnatGkDe3t7rFmzBsuWLUOrVq3QuXNnPH78mHvt/PnzoVKpEBsbi82bN2PQoEFQqVT46KOP/vQ+6zL+7k7ANYFZS+NgTJcQgJ8/tqixEPjoMTssmtRfNlJeEyFg/+nHRaTWjQBkZODcEDemDsBJIADHYz8TjkdA72i78TVaCm4ZJtYJDPEI1WlVyEYZI9RJmO32qgB6fgqJwTP7JoCdCnddzbAu7jAy44/hZL8xlAA8t1bhgqOosV7WLpK7ThHqJIR2HysAtzcmm3PR3ZTZolTIJdMDE9toI8d+hnG0PwCJIrMOM5bG1Z1kE8w0iGqZiOxoFxqZpkA11VgsCnaXJwGY1ByPjfQ4EvCkcRO81WccHObsr5EIuMR8iFifDCS1T6EZAJINIL8TRyBi80meZ/38Uztq3YXWdIrHRqdYgVxozDVY4TIdrtNqBv5TIhfjA68B3Gvs5x3A+oWjxYyJlAR4NgWMVNX1FHKWn5NdMKWNFtiztq3SDsBS289JVhrTshUAACAASURBVHFwk1jGvhXNa/+nz7USo//vemJiG23mhzhCfWfnya3J3+1aAdYqPHBogRP9xtF1/kvwJAr+q+waY3v0J8K90NtuKhcEYKP/ZM0RUj3JbQx3H+4b2J27V98b0ke4V0d0DpUNNLy/7hMUMgSA0//nMlH+igrOGYjNDGj9/y/i42U/15jh+2jZzzh9Il9wA5L6/9dUAFx56xzys0p02nuyZIAQAGcnVwQFhmDh0hUYPiEaKpUKk1Jm4syd+zh/7wGuPnpSJyKgEABlvOxDIQD/w+PRo0e4evUqAODEiRM6CcC0adNgaGiIsrIy+tyRI0egUqmwadMm+lxFRQX09PQwffp0+tzz58/Rt29fWFhY4NmzZ/XeZ13HX50B0OWxLQf+/QzjkOw7igf4R2zxNFRbCHxhqalAAJJju+qU+dTFIrSn24g6E4DPp4Rr6wB6NMLlmV9wBKB49nfoZxRPI6Pse/Sx4jXDmZHBqPJoREHFd0EuAqhYOnAYB1jY9yWNqEe2SMaamMO83CfiNU4XfTBiOTLjj+G9CR/ShmCwVuGGTDHw2U7OQuOxOPMkQQbUbYsrrjER3mJXfXhtEyO8fUYP4KL9GnPeV561H5UCzUTzJHw+wB+PF0kKWmcYA60b8SRgkHxBK2Ya45El3ywMKhUutLbEmFGv1R5dT/0CjlM+RELvdEoG1r6w5SS+/ySiz0b9I9RJHBFg+wG8ZT8NS+2mY1SXJQgauR52M/bVCPx9E7bhK8fe9NxnDpoJ63mH4DRvLy4uttMN/Nm52ARIlAf/h4Z3RlTLRNqngLWcJaCcjfxHqJNoFidCnYTO7/J2sb7rnHHHsjFdG2e6yWSIdrqjf+9R3Nq2NA6Gi3E/Lvqf5+gI1vu/wCeoOqMVdxh3XNvRNV7i3VMAxWtiDmNS6xThe0dOXmdpHIwZvrz/P2v/eadLM9kOwJNsp8ju/9iuwxwBqMo/z+j/z9eg/y8VCMBXO7LqJvPbckLIAhTk5nHRf7YA+LlMAXBBbl6N/v5SAhAxdCTOXP0dZ+7cx5k79xE4eAhamramv5+5cx8X7z+qlQQoBEAZL/tQCIAyANRMAMzMzBAVFSU87+joiKCgIPr7unXroFKpkJOTw71u9+7dUKlU+PHHH+u9z7qOlyEDwP7TtGnRH19/zQP8m5MNKQG4Ed9cIACr33CRJResP3lNmYDqjsDpsoB/adpCrJ2dSH9fPTeF6wh8PWGDkAWY1ildVpJkbRKM1yN40FDas3WNuuLlEWGIbp3MASNdGQ4/wzgsi9jDAYF1sYdxz6U1BUfF3j6yPQGeWMsVAztjuukUgXiEjg8TAFz6tA5clHd5THsxyrtDq/FmgSWJwBIiQCQgJBtAOuRGqJOwoccwEbgmGwOmjbQZgMUyGQAG/Fb56eNpo8YCEThi30N38zAZMuCg2Ysu43YgtlcGlthWg33S0ZdkAIj+n3TvXe2QgKGtUxA2IhOd4z+E7cx9QgdfudlZsxsbvCPwqAmfxbhjYAS/pI14IBf1TzMB5tZwLSTz3rw2iGqZSD8PtncDK/VhPxvyXIQ6CdOcJgsN4z4cZsqti0mLbWS1/32NYoSswnE7D249XrVvx9WuEO//gxHLOJL75fAlAiBeMXIfPU9p1kJ6P/kZxiEtJJwp1B9Ia3XgoUKWn41wn658of+Xft/YqENxdt/PWgJwqZKL8lcWX6iz/r/8UoUg+9Hp9jXjeyoFIqC9vIBvAPb4krYD8LMisQC4NL+wTh2GCQH44MBXHNifvfx1qFQq/LP8Kvf8tUdPavzfoRAAZbzsQyEAygCgmwBUVFRApVJh5cqVwt+MHz8epqam9PeYmBgYGRnhuSQyUlRUBJVKhXfffbfe+6zr+G/VAEg79rKP177jzAH84sUtcT+iKS6nGOPcu2YCATh40A4jWiXWKi+SHpMF1XOS+aLfnUkTUBRmhye9mqLSvwXXD+BQ9EBs1sShfO73Avgvn3ccO4avF4A6OX5SAN8V+CjjLAIPFTYODxTAhY9VCLcvtjBTKmkaaToDayXFkb/2n0jB0XO7Rnh/wi5kxh/DgRGr8MSuGbL7DseRgBhZn/Vf7F05vXeEOgkT2yTBfavoBHTB3YACvTuWjeGXKdqG+mkCuOJRNsocodZGzEm0mfwkj/sZxeBpmow9qMa42s1GTvsuM5/HGOFhOzEbcNvACI41OO3URAhsZu6DS+IncE/4CO6xH8It8WM4JXwM5+Q98IjfDZdJ78Nm9oF6afp7TtuJDd4RuKdvKJxrZTNjvDYwGlVyhGeuCdCpSXXHZGkxsI75UXBfWoNBGpixnw0L+skkn6Oluj9cN/Of9fAVDnjaTgv+/+FvIuv80zfZn65hcjyp9j/X0QmPbbT2tdc8nWgR8JYp+/HP0HjcdmuPey5tsC72sACII7ov4giG9DuC/S7oZzwVbzAR/reiwrAnzBvZfS3xwEsPHw/yEe7RKb0GCPIfP8M4LPVchnP7f6EE4GnxZd7/v1zr8vO44IxW/18o6v9P/3ihzk5fmfHH8MPBbA7AXy3nMwD3b5zB40tZeFZ0Eo8vZQkEQC4DIFdXQAjAsfwibaT/xnVsWbkEKpUK//73T8i+8wfddv7ugxqzAAoBUMbLPhQCoAwAugkAef79998X/iY1NRUqlQqPHj0CAAwaNAh2dnbC6+7fvw+VSoX58+fXe59y4/r16zh//jw3Dxw48LdkAHRp8uWIwfSYroIMSAr6pbO/Tx/ZfUv/uesiJPED+ELg3dNGc/0A2CxAdUFwBi7OOypLAIgMiH3fBBiMtue7Aq+PCMJzhgDIyYBG24/TAi3JPuUyG6snfc0Bge3Rn9A6ANipcDogsnpb3FFsnvKigVjMYZx3Ft1WchydEWuawIGmaFMNLM39hWhvzEIbLtp7YEBL2SxAnI0WiLHRWCI7YbMNhCAQYqAx1+DAwD51jmojQy1rEUqyAc9DDPDIQBtVX9NrVP3B///xtE39HBOiluCQk69spqJK1Qj7Pf1wbaa5vN4/wQhoy8ii3GrJimSocS2lI6JaJnKfCQH4RPbDyrTIOiCZmf7Rodzn7LHdDVk9mtO18MS8EQatkukAvN0dfUymCAEDafS/3KEDF/3/ZkiaAHjXxR2m5FZq/xlglCDcN+y9w65DNvovnaujBgrynzeiwhBgFCMbaPhx8gGOADy7UEBB/pP80xTcXy2/xBGDypILAgH45dvc+hGAveeRnVWA4tNlKDpVisrKswLI1zVv3TzLOQDp6jbMEoDvissoyL96uRQ7VqRDpVKh8LtDXAbgzJ37uPf0mc7/HQoBUMbLPhQCoAwAugnA8ePHoVKp8Mknnwh/s3jxYqhUKlRWVgIAAgMD4eLiIryuqqoKKpUKKSkp9d6n3MjIyIBKpZKd/w0bUF2APbS3b62AXzpHhnkLbh66sgCspIVsH+qcxAH8ZYvm45lPY0oAvpkYLMiDNqa9LUsAyucdx3THDAosSFTT0jgYwy2iBVBRxsiArvZoIWxPCxnCyZnkiA0b3RxpnyGAgYJe/SgBeNypuRb4s4ChZ5RsFmCXlZtQ05DaMRler3UVAN23gWqOBExdJCP52OyBRItEgQCwv5P3RuoByDEj1EnoZxSD3MnOdQP/c02ANo0AHz1Zu0tSTPzUxwA3m5ugs2a3AMiHjX8TXzv2wsxBM9E16YO/FPx7aj7CDaOWAugn87h9Z9yJbS0P/NNNqusf2EZpeirArBEwS97tBxlq3E5tjdGmCfS6k+tMov2U9L24ZwgZI2thlkOsQAa9trlh/Zi2eGLeCGirwtaRbWSj/32m96OfPVljM83E6P9DGwMK/m87t5eN8uuaKyYc4L4PpMXz7LZ+xlPr3bU71neArJNQP6N4lKV+z2cASi7j2YV8PM89iXtFuRTc3yop5AjA1fJLAgE49X1BvTMABKQX5xbVGfzfuXMWl8vPC+CftQFlpxwBuFOaRwnA2R+PCgSg8slTnf87FAKgjJd9KARAGQCUDICuoavITgrOpel4S+Ng2LToj2++rR8B2LzeWSfol4JkufPwN4pDWtpiDuBfDLOlBKB4oI2MLWgGyubJy4C+HfcJF2kkx5TrB/BtsAcnA9o+1E+wAw1STxauKbt/lgxEtkjGu7F8T4BPR6/jdNI/hcQIgGFD9GeyBCDH0RkDDMdzIE1jroGlaaDg9x70jiP+sNAWfZY76aHHZlcB+Hm90Q1x5lqbSSLzIcCT1ZpLyZvGXIN5FtNxbEivmh1v0k2qo99sw7CY5rplQQtMcHtxO0xdkA77eQcoKN/RdTAHwnPb2uD9LmGYHTYDYZPWwGnW3nqBfLvUz+EXtxnjRi6V3Z5jZssd71mjxjjs2ANXprbX/X5nGAOOEltUPVW1DChVN/gvT26HWR2r5XME2BPSxUpyyGfD3rMJZhr0NYqB+wYR2JM5ZKUDvgxuIbsG3Le5w7JlELeeZ5gn4UwnZ0n0vyMX/f9u4Ix6AeEpzq9x96BU+8/eO9MlEr26zF7WIcJ3WoQ6CcnOGdUNAhkCQOaN8itcl98Hhee0mYGCMwL4v3z5MvJzLmLTjO/q9J43zfiOqwEoK8mpFwEoK8nhXIRqKgaWIwBPC09RAvDvX34UCMCNGuoAFAKgjJd9KARAGQD+72oAmjdv3mBrAGqL+stt25jpUi8CcPiwHWxa8HagckWyNcmPZqbM5QD+V9GhlABU+TTC6wvmCiTglwX7cTVpF8rn/sARgLLU72GjDhUKkf0M4xDjyfcDWBsZgqeMx7hcU7ClwwbWKGeSApwl4bsFUFDRrTMlAPedW2FDzFf8a+KO4pRbZ1zsZCOQgOxO1X0BWCeYaFMN+iQHCMBO2vRpcWIHWXDYdVR/zvZRV5Epezz2+QQzDVYGt9BNAKYbVdtdSkFxL33dsqAX81m6Gj+m+cAjdXeNEXkyrxmb4nR7Rxyx74HP3Prhw84D8F6XQdjlNRCfuvfH14698IuFG0patsfjxk0BlQpPGzWWrTdY1Xc8oFLhunEr/Ku3J+4km+oG/otNgIEG8u/TX79G6U9+jD2iWiZSvT+r85fatRJLVuna6z02VCf4r206jOrB3RvRphq82S6IX3uS6P9dp7ZYH1stcds09WCtQPjdmCOIbJHMyXx0FdT7N4/FGyPqB/5fZ4p/2XoJS+Ng/GvKAVkC8Kj8Li5XMOC+ogJVedrGYHcv5gngv6KiAtmnCnBwy4k6EQDWBSgvqxQ3rtaPAFQUyzv+1FQETAhA7q1KoOAEJQDfZ51QMgDKaFBDIQDKAFCzC1Dbtm11OvYEBgbS3zMzM2VdgD788EOoVCocP3683vus6/irXYDqA8DZuWJmH1mg/8+9lshd1Qb//MxS2Bbm30tW8lNTITD7c1zADA7cv5Oq4eoA9sUMo9tWLJyLH0b3xZ2A9kAPFa4lbhWyAFFuCXTfbCTb2iQYr4QP5IAE2xTsXhcDvBXFb18VFYZOLeVrG+SyKP2MpwnFwF9EruCyAMcHTtdG/2O+wj9D4vHAQY3HNnqCI1CukzM2dwjkCE2EOgmJFomC77vHdjec9G6OO1aNkZpiIWv76L7THW473OHTdjwF/WxnYGnUWWpJSQCroX47nIp20g3mk40A68YiOG7RCBjSrFZt/PP5JnjYtzmum7WqlQT8mTl0wlsc+HeatxeZSaNxe1xrPJfrZ8BmNyY0B9rLvDfTRkC07kwHMtQ4Mk6NqJaJNOLPZljYAmxpFoCQgwQzTbX0Z/ufA/+umdXOP2xxuY1xf5xz5NdchUN7SfQ/BZnxx7B18j48dDRGnm8wPhi/QycQjvd+RyDHLBFg76fETpO5e27D8CBc726C74JcsC6ivywBSBskduuulqnFo3jOP2QJwL3yWwLAv1p+CZUlF/DwwlmuMRiZly6VIzurADknSrB72U81gv/dy37iov/Zpwo4/f/dymw8vHIa925m6yQABXl5tXcV1kEAyq5d5gjA19nnlBoAZTSooRAAZQComQAkJCTA0NAQly5dos8dPXoUKpUKGzZsoM+Vl5fr7APQsWNHrg9AXfdZ1/FXfZFKwXVN2QC5bSMG9OTA/bEjtrgfqUftQPNfby0QgK2bHXVmFmojH36GcQgwiUN6Om8HerV/O0oA8sKd6POvpS3EYx89agl6Z8Q4gQD8OHm/AD7I8ab48FKDPWHegIcKZT1NcSjUq7rYUAI2FvYfymUS5IoyORI1+oAQ4b/m5UQJwB/OrWkW4NvwRRzQumpvJisF6m84iYIcAsKDxg8QAF7IakcErnGqHQxud8d48wQuCs2SJqklKHkNeV6vqTn6GcXgaHjvmqPkwQaiNl5PBbRrDIwwrJUIIEON5zOM8XSIIe51NkZlWxM8a9ToPyYAaQPjsWvRUFxIc8LDxS1rljSxM8hAfC96qmonpBqyG1WL1dgR0hOG+u3o9WVdnlhPf1aaY2kczPVrGNomDu7b+M9y2OsOiHrNvk6fuaVpoED0kloO5dZbnqMj5/xz27k91sd+g8z4YzgZOJpr/CVX/Pv21G9gbcI355L7XiBTSsqPBzpRUv7UszEyI4KFe3IY06iPvc+HOcXS7wEpAbhWcVVW4lPTLCzQNuXKOVGCg1tOCHKgzTO+x8EtJ5Bzgm/gVZZ7kXf/ua71/6+6IPr/374tFgBLCQBLCsjjM7fu4cyd+/j9UiFQcAIoOIEHF88K4P/83fuKC5Ay/r8eCgH4Hx9r167F0qVLMW3aNKhUKkRERGDp0qVYunQpbt++DQD4f+y9d1hUV/c9jgoqAgOiwogivQiDYAdUescK2AuKgIhAbLGLRmPXGBV7zWuaacYYjTVqelSqiGABEey9V1y/P8Z7OeeecwfIa96vPz6zn+c8MsW5c2fuvbPW3muvfenSJTRp0gR2dnZYuXIl5s+fj8aNG8PNzY3R6gsa/sTERGzcuFGcBPzZZ59Rz6vJa1Yn/m0CwPvRlWvWJVeQJ1sBuDOsoUgAbiaw8wD2H7CFn2E8l1Tw5EC86sT0STMoAvDzYF+RALz0qod506eIj5FTgV92UzIyoItvZEBSsGFpGAxva3oo2LK+EdjU20+j3GBRTAR8GyXISpzIjK2lYTACjJKZKsCPUXNF4HSpQztsi/0CGaPUDio3XW1EsPXSqh4KHR0YErDbxoWqrEQpUpBikaJRB17lymgDS0UQ9f7JplMSpEplFnq6ShFARjQehsdTGsuD5hQDvk5eTwcwqwv0lhkgpqFn4Hm8Ie72McGDAAXudjTBTVdT3LI3wV0rBR61aoRnrerjmW0DPG3dEI/aGeCujzGudW+Gq8OUeDHBqPqAnydvqk+8f2XdKrP+L2cokGyh/s70dJVi5UVwXiKz/lJ7VrI609UoDm6SYXCd1rVGsUt9PFfWwYKRStmqj4qo+givl2SWhhGmKciTaP/POtrhCSH/OdBjKjJGHcaW4V/jhX1DjYO/MkYdxoQ28xkyI1eNtFEEU305y/pG4F47fZEAFHs2Y87HJX0jYKPgS/E+iV5HE4DcU3hZXIbnl+7S8p9qroJT5xkwnn2iEMd25+LYN/k4tjsXRSf4gP18UUGN/P+vXM6vUvbD6wXIKbmCnPuP8exCrkgAbpadZwiAdg6ANv7/HloC8H88rKysZB11SkpKxOfl5+cjJCQEjRo1gomJCQYPHoxr164xr1dRUYH58+fDysoK9evXh6urKz799FPutqv7mtWJ/8UgsKp+fHkkgTcQ7PzsxiIBeBVSB4f3s/agwzyjq70NniRoYFQSRQAyxo+mZEDfJESJj30xqr9IANBRB9eTVjNVgP6qZGo7AkCINh6DxTE1cxtZ2i8SXW3omQCkwxCv0rBs0C6mCpDfLRLfxyxhANOuqIVUFeC2bWNuFWC0aTwF3pLM0tDTLL5achDPta2593sNDhalPaRzUnqrFIoUSBuR9XSVmNYyVbwd1zQFB7praA5ONwIG6qsz/1IS0Fnvn4Hxf3ONNQSG6PMfa6sHKOoAEQ3VQ780vM6jyU0Rajxc/M70dJVMBp6s6pB/k5KgrkZxUGW4SUC9K/YHKqi+j2kpLbjfs9vcDkwTe5QiBdtaBnEb0POcXXEwchKKO3ghI1Hd2J7n05OSsu0YuJY5llfEH4Bvo1Gy1UZp9r+PWyh1nn0b3oFqzP8+rD1zLs7uEc4l99aKUJRMrDQHOPXdnzifrdb4vy44iXvFrMWnpiXo/6sC4ueySrlZ+yuXaP//inMnRALwvCyL1f9fYgnAmcyLoguQpqpA/uXrIvhH0QmUXKeHgGknAWujNoSWAGijVsS/WQGQa1atCpQLa9VyeiDY39tbiAQA/jrI2qhkCEBaQttqvbbc6uzal2n0vR7YTCQAhd0dxfvnzJiOJ14NRQLwsHcvhgBkjdnD6PSF9/JeQM0dR2ZEhDHghSdBELbFqwJoWhfbdxIJwGsrHW5DcJa9M6wNgyi/+ChFSpUNoQnTrHHHqh4mjLPkZoYtlb5Ugy8JQqXkQNimkMmW9kMkWyTixXTOwDBSFtS7Ie2XP8aAfV6aIZBooCYO/yvQn2aobuy1eVOtMNThW5hOMASmVNHDkK7AzsjOiGuaQpEngQCQHv/CbeHzJD/rWFO140/bxe2Z7275MHMK/J/s1Ajum9kKgOtWFeJasn0xYfpDaNtPYn3ZawF1fG4fso2aaXHO04d7HA/ymsuQbmkzvnCfn0E80/xb7NlMBP8P2jZkenKW9otEst0IbhJhjFM6dQ0o+HIPLmRXWnzeLC2mGoCrIgCXiss0ynGkNp3SdetGvgjuH97KEcE/Ck/g8Y0c2QqAsB3ydeXmAgi9BqVnCikCkH/3vlr28/AJrj17USX4B7QEQBvvfmgJgDZqRbztC+njlxVYV3odzslb0HzgB2hhGk5l+6rKypPPCe/qTQP8QzZ43r2eSABKJysYArB8cWvua2naFvm8VooQzJxJ24EeHuwnEoBXnnWxcOr74mMno9qJBKDCywhlEw9SP/6XJh2DnUk4A0Z89BMRZxNXNeiXeJIv6RsJp8bBFEgjwYywHyTYWTDw+2oTgE8Hb8Ura12RBDy21uc2BC81r2wIFrY1rGkKFyCqtqmwcKQSr8zUAPGJRR30m8vRim9RoYvxcPE1pdNoeVNo9XSV1LAqsmcgwSwZ195rrhlszzRS9wB0qc9/3Lt+ZdNwG121z36iQZUZ92qvdCO1NCmqIdBRT+3Zz5MoRctUATSsF9NNkNIinmrcFaQ8wudGfqYk+SLJgkAO/IayBC9tYitUmFWC/xu2uvCX6f2wH9iBInM++olINktBrkNrLvjPcvUQp/0Kq7izd6X2364utg/ZxhzDH8eptf/SGRO8CoClYTDGBdJEfEsvXyr7/2uAI3NeLo6JFN1/pNeaA4O/oq4BRds2iwTg5ZmsStBfXo5XZzLx+Fw+bl28wCUD5eXlyM1mwb0UiJ84cULM0pOPFWaW4N69SnD/9HKWCP5fF53A/XtsI/DVsjMat8U8llWEgpIbyLnzkNL/P72Qh7zLt/Hg5atqAX8htARAG+96aAmANmpFvK0L6eOXFYjOOgflz9kwJ9ehTCiXfyUSgepm5wUZ0P4DNMC//J6hSAAe99HFoUO0DOjrr225Eh9eNYJ320c/ESOHpVIEYMXEVKCzDp5510dWlAeWTR4nPrYpdQQlA7o1fDZTBZjSLZ0LPmRtB/tGYGd4B1zqbIrDQS7M4/N6RTJkgnTIkTYFV6cKsCZhv/h3pl9/Sgp0xU7JgLN8R2c4GgYw7yPeIpnbD/D+ey2pLPENW10EL3dkgeJ69WRYQYdOglHhvvRWlbIVPV0lla2e1jJV9LP30U9EX5NkfB3mjYp/orVPfzNEjAfIG+gAFnUBN12gW301Meinr9bhJxoAyQbqikIKp6owSwF00gNa1QUacV5buurrAH4yBEUm6/9jdy/MsBwjfg5pykrvfqECIHy+AhiXEkkSqA+xH84M++o/1xZPLOpQ034Hz7blgv82GR7oY5JMZf999BOx3oK1/SxwdEK+swvWxNE2n7tiFlHSn1zfXsxxvCrxEAIVY5jzTdiecFs4nuyMae3/0n6RyOnWimr+5TkATe4aRV1DhM8s1Hg0LhG9QJfH78b59YtEAkBafN6+eJ4a/nWjlHX/KbtUzpXiyGX7pav4zDkK3L8sPikSgBclmVwHoLOEAxCv6ZdaWUXIuXpLlPg8JfT/N97o/6sj+yFDSwC08a6HlgBoo1bE27iQPn5ZAZdfT9HAX1iHs9T/fvcLRQLkMvDS9fVXNAHIXW1OyYD+/KIlMw8gpnEylwDwyACPCPgbs25A25MH48MZ0zjDwNJxy9dUJABPQzowBCB39F5ZspHmFcOAC9IS9F47fY4laKRoCSptciSlDuTjc3t/Ke8ZHvUh7rk2x66YRcgYdRjrRv6IB05mIgF4ZVUXZx3tGBJwxM4DsaZpYsOokH3v1TSR2w+wfkAzigRccG2ArqudWcC4SYXBFpWgTQChQhVAcKoRgCzZHEwC1/dbpIpVhBSLZPw1oE3Nmm7fM6weQNe0jOvwX9uC04MgBf329dTEYqL8IC9yVcxU4I8BbTDVcrT4XZB+/qTWX5BOSfX4JCmINU1DH5NkdB8RxoD/iCUOuGVdj/o+p4/h6/5Vm1To1ZQG4VGKFIwyTWSkPzdtm+CpdQMc8xksIaj7cEdlKYL/p46G2DTiO+ZYXjr0R/H4kErjSIIs2sv69qLOrdVRQdRMjryuLbmVOW+rEO615Nc33v/CujsoFRfWLxAJwLVLpSK4f3q2cvjXy8IsbgWgIP885bbDA/88Lb7wnBvXKv3/H9zNxWtC/vPkajYD/u/dz6P6DaoaBiY0/gor795DXLhxHdfLL+DczRvVbvwlQ0sAtPGuh5YAaKNWxNu4kEZnneODf8lSLv+q2lp8YX0w3Y0C+Ed+5IVuhwAAIABJREFUssaroDoiATg/uzEjAwrr6q0xwy/VBPNIyeTx01mwL7MODAmkqgBX0r5kZEChxqO5zboxJslYIpH57AprR0kQfgz1YADIhOAwRntMDmoi/d199BPhZ5CEFfEHGMBU6B0ogqq7ri2wNv6nN6RgPlUFeGBjyEiBTjs6o7v+QEYqkqZMQ8DgcLYBdIsr9gQbU6DxVFt9dF7HaQzeooJ342FMNUfaqCpo2cmeAXJolQCChX9TLJLx5wC36hOB6UbAsEbqLL91PXXmvyYEwFCH/7ouuuxzm9dVVwb66Vc5qEya8f+1rwtSLJIpiZTwfZBrrvUYsXmanL5MNvsK4L+rURzaLmElXYEfO6LcUY/6HtcPaMYF/y6b1ZafJChPMktDjCIZ2RLpT7GDNV6/Od4qrOriWFiKeJz+GRJHZf+PhadyyexI5w+p80F6DSDPcanzz9J+kfjTz07jVO6l/SKxKDoSvo0SmNd2NI2ksv9lk47hhZ+NSACeFeVSvv+viez//QuFss2/ZPa9OJvN/AtgnwHrWUWU/OfJ1WxK///gDiv/uX7tFPNaGrP/dx4wLj+8lf/wSbWrAFoCoI13PbQEQBu1Iv7bC+njlxWs7EduHc6CRbNI5odY+kNKAmWmD+CwLW4kNhIJwP2B9ZnH183sKpvhl7MglWYMPdv0qzYBWDJlAl51qls5EyB6EFMFOBS3g8pAkvuf5hnFWILeaddIBCE3OxhyewHsjIOZz0vuc/XRT8RI5w8ZwHQ0IpUCVscDh1SSA89AigRc5kiBTjs6Y5Ainv1OFUHwmNiZAYRtN7ngb08Dpmm043oOCdis7gkQgCypV3+/RaqoZSclQgLoFwAn2RMgNLjGmqZhYssklCZb1tyGc7oRkGAA9Gqo7htorasG7kYyBEBfhgD0aKgG+xENgOGNagT4SeB/a3xjTLKsJDqCBEqQQQn7LHxewn3C50b2V5CVluSWyVBluDPfid9KJxS71Ke+v+/DTPi2n1tV6KGMEyU/5He0vRXt+nPG0RFPretXVp2s6+HLgevVjb9D/4OX9vXFY/SGuz1WJ7BkdmXCQQxv8p54TggSOOEzkJ4XcV609n9VdAieueuK5915LzNu9j/OO4x7/fhmwBbqnL8+ahXQUUckAHdKzong/l5xESX/uVZWyjb/lpZr1N9L9f7SKsDZM7T7z4sSwv7zAmv/SQ4A41UXpJWHnIKL1QL/1Rn+RYaWAGjjXQ8tAdBGrYj/9kK6rvQ6F+y32bUfY5enw3X3Iep+m8W7qp39F/oADhykAf7pZc0oGdBv39BTgffssYW1cZDGDL8U9EsfVzcDp1ebBOT3cBEJwCtvY24zcOsmPRjNsFwmcn+wm8SGsB0DRCaFhovginzvZD8Aue++jUYxVYDViQeo4WCv7Orhi0EbkDHqMDaO2IlHjqaAlQ5K27VDgRPbDFzg5IxcB2cE6MdRBCtKkYJuBvFwW+rBAMPO61rjtEdDCkSe6CxDAraqEGcfh/dbpIogVtoELNwnPC6AYUvDYGrAmEAE5tski+91YssknBrugIqZ/6BHQLpmGKmdedIM1T0Ao9/0Avy3r8sB/rfHm2FKK9qOVZrJJ/dZ+F7IJuA0ZRrSW1VWVATioAb/btyM/q9dDanv7WdfI3hwHH9U21ToPN1bPB5JAs5z/bll25gim38HDBOP0b29Z+GFfQPAVgevbevg6wEZ3Oz/eK9VTB8DeY6T5wTvnPvN35E65z7r7s3x/o8Uvf+FfYo1TYO1IhQX3z9CnfOPIwNFAnA++yTV/PuiMFsE/8/O5vGHf+WzUh9B3sOrBEgz9TdJ+c89Wv7z9DJr/3nvXh4KM0tkCYeUbJwuvFIjAnD3xctq/aZoCYA23vXQEgBt1Ir4by+kH5wrpwB+qwN/IXeYMxCqA4TqYOzydKYpeGCLcdyMv5wmf/NGRwrgH91thYqASgJwbq4pUwWYOTKAAcBy25L2IgiAIWHEWC7YXzxlAg4OCcCnyYPE+7amDFM3AfuZ4c6QCQwBKJv8C44n/igrR4rvQmcjP+objvttG4pg5HoHI04VIAL9TJMogMNzJSEzveO9WfD05aD1qLCrK5KA6+4OYlPwD1Hz8UtoMjISD+KLngu5BKDAyRm7rTuIYIgkOcktk5mJsaptKnRd7YyzqgYUmMzuoA8v3pyArSr4DwuBpSKIGVYluNmQoJd0DBLkP3Otx8BHP1EEvEJWeL5NMtKUaRhrkYIV7Xvg4aTG/3w417+4Xqcr8GyaArvDumGAaRKSzNT7JBAjclqyIH+Rc/ch5wCQ9/voJ6qHfK1uI2vlGvKRI644qOU/f3oZoN1GF+7z3Na7wdIkkDrGY03TkGCahHzJwK9S+5YU+L/u5kg1pWeMOoz/DN2OsvYeyPXtzQX/S0fsYab+SntjyPOE13vzdUQnXOuoANx0cLFzE272/722/ajXElZf1yTqXL889ju87lRPJABFudkisL9ZWkxl/29fPM+V/xRKmnClUh8eMJeV/1yj5T8Pb7Pynxs3TnGlRbx+gDOZF3G64LK2AqCN/5OhJQDaqBXxb1QAcmJbiwRgT4o/WyHY8EON+gAifbwYgH9rpD6e9NFFyXQT/LGjJfP43r3qqcBy4F4K/qXPiVKkoLNrDAP+f+vvhVeedYHOOigJs6KagTenjsCsmekomfwzA/5JS1CpREGt0Y9negEOBquojOQPYW0ZQDI7orsIrqT7Su6LcF+0cSo+jtvHAKgTgYMoKdDfQcNYoJV4CCdV7bgE4LSjM8aYxokAnATqXk2GMk2kqm0q+K5yxjkJCfi1q6Es+FStVmGIMknM8gtNwKRdKCl5EWQtZI+CQBxIwBxrWpkJTzJLw/gWydgR5IubY83x6m1UBv6LVTFTgdLR1hhmFi8SF0HiJOxrklma6IxEDu0SKiDCfgtVETniFG8bzyVr0hW21AG7Q4zRYQMf/Ks2qf3+Sc1/lCIFAxSJOCXJ/J91tMNLq3oi+H9h2xCfDt7Kb1hPPIQ1CT9xnX8cTHpwz2my4Vf4TGTdt944cH0X3gHbe3Rhtf8x4Yg2HsOQGh/9RJwctYc61+/3jRUrgufXL8DpU6dEcP/kXGXz76szmdzm39KLlzRm3+XIgLCk8p+Hd3Lx9HIWXp0/KSv/KS8p5EqMpJUFYdvnskrFHoAb5RfwsOQ0Ll+5hII7d7U9ANqo1aElANqoFfFv9AAsmTNKJACPuzeE1f4/ub0AmoA4edvaOAj79tMA/+iPVowFqHSN9Ythsn9VbZN8jq9BImbOoGVA+4aFUJOBV49PYkjCJ9PZicCkJai0D0BYo3xo0LE8Jgz32+qLBOB2ewOuI1CAURzTCyBn7WhpGAynxr0YW9A1CT/hlps15bHOlVokHECOSxsuCch3dIbK0I+qBAgg26vJUK4zkE+GMwrbqOVA9y3rImq+vUbw6bJZhUEt48XstZ6uUtx3ARAL0hayIiKAUNJBiKwW8FxzohQpmNxyDDZ0jELWIFc8n6b4V6sDFTMVuDfJBJdGt8LfAzywxD0Kk1uOYfz6BfBPEhyy14HU8pP7SAJ+sgKQqEyB+4BALkmr8dqiJmnkZxilSEGAfhzT9Fvg6ITH1vpU9v9w5IRqz6wQ1qhOH1eL5Iv/2oRUPX+Ds4Jau4kyM/L17EzCUfr+Meo8fxrSQSQAOdsykJ+fz23+JW1ByVWcTxMAOcmP9O9zWaUozCzB7VunuCBfkAPJ6f+lWf6q3IZySq7ggzXroKOjg5LDu4CiE7hVdo4hAFoXIG3UptASAG3UingbF9LA42cogB/0+eciAUCoDoZsWMFUAazf9AJINfhy8pylU9kqQFXr68+cNcp9pNuT6ugtDYMxZuhkCtwvmDYJL7x0RQJwMrodxxp0FkonH+USgNMp+xmwLvxr0EDJVAH2hbShqgD7g90YYDI9IpxLKOR6IORsQb8cuJaasnrPtTnWj/yBed6G2B24Y2uC8w423EpAiP4wcVtC1jlKkaK2B13PgkbvNc74y9MAsek21QOZW1UIig1FN4N4kQCkt0qhtPBkhlYA+2TGXNr0Km2GldpnCln2OdZJ+DooAL/2d0PecAeUJFni7oSmuDm+Ka6lWeDPEUrkxjoiL9YBxUmWuDPeDHcnNMHdCc1wfWxT3BhrhsupSpSlmuNymjlKR1vjYHdvZLSLxuSW6uzytJap4vsRMvgCcRHes9SxR3iOsN/kRF/y8yDnAAgSrbZL2nE/56kpLfBJVBN+g6/M9+LVZKhIRKa1VBMVa8Mg/GHPksbbtiYU+C/yDBQHf30y7PNqgf8Por4SpT/SY58nibMyCsaiqJqD/yV9I6BfX0mdu8JrT+46kz3XJx3DjYTlKAt3waGvvxAJwIMLZ0Tw/1qm+Vdw/5HT4mvK/OdmFuFiyWlZ8C+37t3LEx2HNG2X13Mw/6PlFAEovnGNAv/aOQDaqG2hJQDaqBXxNi6k956/YjL8ZTFKkQB8NrEXKwM6cBItjUNlZT9SoG5nGsg0A1e1Dh6yRZDp8Gq9vpQMCD/u1qZhzEyAk9HtRALwwksXi4jJwML6derXb4DAEUYG1LpJDy4419NVYm5kT4kjUDhutTcQCcBDjwZYERPKgJNY89GyWU8BFJOP2SjCubagf4SMpKRARV7+1DTW7UP+g1uuNoCVDp5Z10ehowMD7E45OGOAggbWwr+9TZOg2sQDj3yQ6bbFVR6AZrhBz0ANykirTzK7LzwmEAEBnAoSIXKGgQC2BUmMMEdAAOSkhp4EmGST7SLb0SJZIIkE6UqU3kr9XDKLn94qRaxaCGB+vk0ytT8kORAAttTyUwDdZFM0SWSE23q6SgxRJnEJmftmV2yNbiLKsubHN69W5n+YdTzVhyG85xnN2zLHyGU7JQX+b7u0wvqRPyJj1GHs7LsUr+zq4UTgYK7bD+n6E2NSWWmSyt7IY0BYiR609n9FdCjTW8Nbk0LDRdJEVrisFaHIG7OPS/ZLJv+MWemz8MMPP6gJwJvJvwIBeHL2FDf7X3rxEjcDT0pv5EB5YWYJ7typGfhXT/8t4Gr95foBxJVVhPLTeXia9xteFx7Hq7MnkXvvoRr833mI/OIbNQL/gJYAaOPdDy0B0EatiLd1Ie34Gz0IbOO0ASIBuNXbBBaHTjAkwMJ7NBeUy2XlP9ukqnEVYPkSF1kpgHQ7ZGaP3PaU0dMpcJ8xfjQlAzo82I8hANtTRuNJeDc86hHGAIP81P2IMUmlgIpAABxMWHeS78PbU1WAY4HODEBZGKX2JpdmQEkAKN3HEeYTGCnQ6sQDKGvvTpGAnyPHiY+f9BtAAbeHNgbMfIACJ2fkvZkUTGadhfcx2II/KIy3MgaZ4ccQY75D0DYVXDa7YHirymqHkCEnATfZ9Etm0EkiQGrhBdJAPp+U0gign6wsRClSxKZcUo4j7TmQZu8F4iG1KeURDlKqJByfQuVD2H9pAzT5/Qv7mqZMg56Rkqv3912lrsaQfRkvzXUQtowztfnNct2sgmVTf+pzE7YZoj+McfwpdHTAK6u64jH0zM4Anw7ehoxRh7Fl+Fd47NxYPPbK2nsgI/EglwAM9JrDJfe8JmBLw2D4G45kKmxF3kpc7mTCdfwhCba/4UhqeJqw1vmvkZX7/Wf6asyaVUkArpSV4dH506goOAkUnMDN0mIuAZAO/+IBbxKQU3MCCs7XGPzfv5+HwqwS6rWqrARkvRkCducBnlzIE6f/3rt4BnmXbyPnzEWxilHT0BIAbbzroSUA2qgV8bYupPPOXabAfZ9tGykZUPSWdQwBaB6/SDYrz/thnzQwmAvy//yyJS5ONUbJdBPmsf0H1Jagcv0FcmSDXLzJwOci7EQC8LCbAeYSU4J/GhYi6n9fd6rHDAYrm/wLPvZbxWxPyDDO78k2JpZ1MsVz93r4JcAJy2PCuEClr0coIy0igSHv/tGeKxlgtSV2B544GYue658M+5ToFdiPsrYeFAm4Y2vMJQGZDirEKJIpeY2QOe1pVnXDafKkVtTUYNn+gE0q9DZNojLyQjafl/nnVQBI4CqAZGm2n7TWJMG78Fzy+cJzePIbsk+BlBiRlQvy7ygFXR0QCAD5uQrVCnJfyT4Qch96mybBZRNbVYmbYY0btroU+H/coi7SJrSS/57Wqxt+ySy8sI/WhkHIcnDh9osUO1jhmW0jvLaqg919PhSPrcvt3CQDv1K44H/BkO9hZRRKHdvkcS2VFsaapmFGKD3198tIzyrldUv7RWLkG99/QW4m7J+/wSicST1AD/96s0onH8Ws9FkUARAA/pWyMtwtOctt/iXlPyQQ5zXinj5+Ab/tPIBjX3yPIzv3IPt4AS4WnaOA/dPL2Xh+KROPbuXIgv/SktPVlv2I2v+rt5Bz/zEKbt/B1gXpogTo4rU3zkBXb4nvt6ahJQDaeNdDSwC0USvibV1Ij96+T4P7Qydxo4+pSAC2TY5mZUDTNtSIAPRrmoSDh2iAf26OqWgH+jK0Dn7+yZohAald+musMlQlEbI0DMbE1GkUAfhkzBCqCrB7RIT42PL301DRqY5IAh726sEAhHPjD8FaEUoBdCHD2M2WbVLc1NsPa/sEapQpLIqOhJURHwhJgb+wrIxCsTh2NwOwdsUsQn63SHEyMLk2jvgOd1u3oEjADbumXKA3rXkHyoWHzKontUqSrQS4b3ZFSWt64NSz5nWwcKRSLQuSPL/tkvYI7t8DfToPRh+TZCpjLgXnQqZeKpMhs/RSG03heWQ2XkoWyCoHKUkim4/JScXk65NSIxL4k5UEsgGY7FcQvleyikG6BMWapmFKqzHo03kwgvv3gPtSerpv200u2BzTFBVmOtTnXepcH30WyDdlu2So0NWocv6DtPF3mXmArG1svrMLPhm4CQe7TxKPq1zf3hT4P+fpQ8nPSNcfO+NIKtNPZvulpNfSMBixTVOo7P+yvuG40cFIBP/P3HWxOiqIk/1X+/4LFTryXOrpGE8P/kpciRvxS1E26Rh+n7pTvB5ICYCmdbaohJuFJ29nHy/AzpWrsHJ4f+q9rhwxAHs3rMDd29kiuK84V2n9+byM9f6/efMUCjNLuNuTIwA5JZX+/1eulIoE4MLPPyDvHjEZuOSKlgBoo1aGlgBoo1bE27qQvqh4zbgBbZscIxKAn0d5sQRgxqYqZTnS+3b8pzUF7v/e3oIaCnZ6WTOGAKQltKsS/FdFDIa2kcwESE/HlWClSADu+Jngg5kzxceze7tLqgA7GBIw2nEmpVMWMowabQqrWHG2I2T3QcjQChlkYY1oNg4rE/gyC7m1fcg2PLU3okjAFZlJwVtahiBGkUzpw4XPvIcyTpYEBH7shKwOjShQimY6+NvTQKMkRbVJhZCh4RQREICbdFYA+TdZDSAz9SSwF/4/WVmYaz2GkveQYFzYtiDdIbX45GtJ/w/ZtExWLHiEg9drIIDgrkZx8E31l6229PvQDmfdGjCf8UF/BX8mgwT8S6sVPvqJGKBIxDFbN0b6I6wclzZYP/w76nj6OXI8Bf7vqCy5DegZow5jiNc8RuojR9yF9zTCdQB1nhwOcqGy/0cCW3PPp35tK/uUpARgeNv3qKbf5/4OQEcdPAt0wYGk92pMAMrK6OZfcvCXcF/28QJ8MmWSxmvAjrnjcfd2Nh7fyKG8/x/fYKsA54sKNE4TZm5nFYnWnzn3H+PJhTyRAOT9eoh2/7nzELlZWgKgjdoXWgKgjVoRb/NC6v9XAQXwwz7djoVzR8Prm++504Jb7PiFaQQmgbhUtmJpGAwnpT9dBThkgwcD6osE4O7QBgwBWLu4fbVIhhQ8kI+pJwPPpEjAV4kxVBXgu/je4mMrJqagomNlFeBRzwiGAKT7z6UypiTAiHfv948IwKLoSPgbjmQkETyZk7BtH/1Ebj+AnBe7kJX9pt8KvLSpLxKA11Y6KLe34IK+k/auCNIfzujaLQ2DZS1CVdtU8Njsig392ez0Y4s6WDxCCXeZKbSqbSqoNqsQ0LUvZlgnU5l4IWtOgn1pBYCsDkiz+ZaGwQxZIIE4WV0ggboAlIWGX9K/n+w5EIZ7SSVFZCVBkDmRAJwkGUOUSWg71VP2c+24QZ31f2muw1RZ5iU01+j8476oPZJbJlMVEeFYCtMfgnwJ8D/j6IhSe0v1caBqx2j6haZfAfw/d2iET4fwZwEsjt0N30ajmGuEtG+HfNzPIB7z+lRm/9f2CcQzd10R/N9qb4CPJPa6S/tFYn5UBHwbJTAEwNIwGCObjkVu6l7xXL45Yq54rqOjDvbGhteIAJSXlyMv+yxX+0/et3PlqmpdB4589jFeXMwUwX/FuRN868+CM9WyFxUWOfzrzO07QNEJkQD8dvwvxv7zdMHlGv+OaAmANt710BIAbdSKeJsX0gXnr3CBvqZlFDsOerrKGq2vvraiAH7hoiZUFeCvz1tQj2/cZFXjbfBWnz4DKAIwO30mbvo3EQnALX9TzE6XrwJcTfmUIgB5aT/CqGEr7rYa6CkxJTxA44/8ll4+2BvizgEuYdCv/w/2r+N7GsH/6oQDOOXTA8cDh4j37ek9BxVEQ+drKx2U2bfgkoBcByeYyG3fQAnnVfIZ5+EzbVDuqMdkqgvbNMSwKuxDXTa7wHqiA/QM/vtj4J1fRko4LHKGaxXWnWPHWzKfZYF7Q/ReKC/5cd3qCvMYG+g14G+7ia4SpyW9IGccHfHIphFeW+mg1KElMiSVps8Hb8YzRwMR/L+2rYPdUfNkXX8MGtjU6PPQr6/EB71oSV2Rt5LK/u+I7Mxt/DXWl3vNFjiWQPT1TDqCF37W4rl+v6sCc2dMFyuFOZ9koDA3B1fKy2QJQPGFEpw8maNxHf87Eysksh+5tTq+P16e/kskAM/KWfnP7du5VW5TujILz1d6+18uoQjAT7mnGAKQWXiuxr8jWgKgjXc9tARAG7Ui3uaFVNoHUJ3V7MffodegRY1+1AcOoCf/Ht1jhVfBdUQCUDZRIWkEtoHC6L8HV/oNW2DmTLoZ+Lv43iIBOBdhh8VTJlK9AK861RWBweMIP6YK8EvCl9Cvz99//fpKLIhiG36Xx4ThD38HvHKrg1dudbC1pw/znMnhAWigV7P9a6DXAgtjd3LB1/qRu3GxYyeuM9DB7pMoKZBmEuAoTwIaKGHe10YWvHZa1xpf9jBlgCua6eDbCBONgFcAsI5LnaFoaykLYv9/uRoooWhvCaflrasE/uLa6oo/vNVuPy+UdZAxyAwem2Qm+25TwXWLK/Qay78HM10l8jng/6FNI+rYONBjinjcbI39Eg9czCjpz69hSdzjb1XiITRu5FzD41mJKeF034zUUet0FwsugB4X7Cf7upN936PO4dvDplLZ/x9GRIrXgP8kD8aFDQtwIfsEKs6cxI3SEm72PzOzajB+8LvvalQNvPTTV0DhCbwuPIGHd9jhX8XFNSQAmbnIvn1fBPfPzudQBGBPXgFLAE5rJUDaqH2hJQDaqBXxNi+kLypew+Zobo1JQEDXeTVqyuXNBCgfZ1TZDBxSB0f20s3AO750gJ9hvEaZj5yumHxez7CRFAH4YOZMZPdxx6a0EexAsFmz8Hd0BwocXBu9jiEBKwNWQUenHvR0laJOX5AyBBjFMdaFn/Tshgq3OiKIudLRhJkQvLRfJBLc+3H3j3SaEaQwYvNqc34/wJcD1+KFfYPKScG2dbG39yzx8aPhaRTQu27XTL4B1NEZY0zjqIZkUvM+qGW8RpvQYek2OO9K69YzBptVD/gS8qDOk7zRxXg45epDSoFIv33h8xLkQ6R8h3yutEGX7BcgrUdJz35BDiT0ZpDfkSAJkjYEpynTMESZhM6Tu8ClCjelkI8cuZKeyCUO+NPLAL00ZP1V21RwWa9CUqskyoZU2K8YRTLWWgQzen8h80+5RbVuiS3DvxYbyW+7WVHgP8+nJ7fpN2PUYUzwzqA+F57Tj3AsC+fu2PYDqfNhVXQIHno0EM+bJx56so2/dsbsDA09XSUM6xui9H1iyN/Eg3jZ1Uw8v2/7NsYHM2eI2f+ykBYiAXh1JpNbBSgpoS09z2WVcnX5P3/+fY0IwNnvPgEKT+BFSSbr+38lv8phY5QEKKsIubcqtf/5d+/h2flczQTgzgOcyyqt8e+IlgBo410PLQHQRq2It30hXVwsLwOyOHQCYZ9uZx9LXMIAfikAly7pTIC/P6WbgQsXNGGbgRPbcV+f55BDgnBKU2ySgunTZnDBPm8tmTIBzz31RIDwLKgNyiS2gZcmHYOjaST0dJXU+xDATj+PUObH/W8/WyqT+UuAExfIBBjFUUOSeL0AAnAStO8OJj24JODHPnNRYVtXBGyv7HSxK3qh+PgvoWMAKx1k+8ZgzfDvkddaJUsCTjs6Y5l5AGIUyeJ7IZtJhyiT4JIhD0o9Nrlg6XBzPGpZF9fsdNFxAyd7XZ1s+FYVVKvd4JfqD+sOXTGsaQrTFyB8F6R1KGkxOq1lKtUvwHP5kWr1STJAEjJpky9JBKa0GoPeXoPQOdkPqrVv3ruGfeu+2AE7w03w0lwHqRM1WHlqWos8MNQsWdxf8lgJ0I/D73YezHdb6OiAx9YNKfB/t3ULbI2tnD69IW4XLrdTicfShc7eWJ3IH/o1LXI7fBuNYo5ZaQ8CeW47NWbnaeR3bUGdMzz53NJ+kUjz6M+9BujXb4Gc5J+oc/fegFEUwf8qIVo89z9P6g901hEJwL3iIjb7X1aOQtLHP7tU1ov/yM49/6gCIG3+LS05jcLMEq7GX24GQE7JVSa7n3P/Mc7euomVHy3iEoD84htaFyBt1MrQEgBt1Ip42xfSFxWv4f4rPRTM7YcDyJgZi2tRTfEqrC7cd+2nCcDXRykQrqkKIDwvvKs3A/DvDm0gEoDHUbo4dMiGevzAAVsEGMdxG4A1VR2k90X4Das2AZg1axaODPSlQMLvWpfEAAAgAElEQVStEXOYKsDhuB3Q01VSYEYAnlZGwZgaTmf4P44Jw21iQvDLNnWxrWc3BgR82Dscvo0SREAp3RdpFl647W84GitG7GPA2OHuE6is7Uv7+tjZd6n4+Hd9PxKzuKtH7NJIAgqcnHHA1hUB+nHU+xEAZjeDeLQdEKgR6PqudMLQWfwegC96muLbCBONunZmbVGh/QxvhHQcAEtFENWgSzoYkaCetA0lG3GlzcXk4+T95AAy0mK0m0E8enUZBK8pXdFmlXv1hqdtdcWQWTY44K+gGqeL3Bpw7VM1EaMuA0PFz0AA/sL3NECRiGwH9vs862iHp9b16cy/iyW2xO5gjqV18XtwsWNHXG7nhrXxe5nHV8QfQH/P2SL4J92S5Iisj34ibBTBWBRNV82+D6OlPxc8m3EnAE8IDhcH6kmvRVLpz+Vxu1Dh2Ug8r8uDLDD7zbyQ2ekzcT2wmUgAzmefxBWO739B/nmN2XeyAfj08QuM9afcWhPXH69O/4VX506y0p8C/jYFtyGe/WjO3YdcApBz/zE+WLOOJQDX72oHgWmj1oaWAGijVsS/cSFdcJ4eCubx/T68CqsrWoJ+OC+FJgCHs9DCNLzalqA++omwNg7CDz/QBCBvpRlVBchZa86QhA+mq6qUG/EkQuT2rUxCkS7pBWAWMThs3vSpeNDVUAQKzwMcuVWA5gon2f1XTzGlf+Q/6+GNCgLU3OhgxB0SFu8eTUkZNH2+JCGIMUnD8pEsCfgtdBRFAl7YN6BIALXi9yPL1QNnHe24w8IKnJzxt31rTG4xmpEDCe+ni/FwdPqwc5UZb3IFfuyEF8o6IgD+y9MAE8ZZatS588iAx7J26DinM7q854fu0b1E60syM08OBRPkPCTYFx6XZvrJ2QBpyjQMNUtGZExPdJrhDVWGqtrTklXbVOi4vjXSR1vgtEdDbo/EC3Md9J9rWy3g325uZwxRJlGDxsiKRIT+IMbpp8DJGRccrPHCSpcC/zdVdtj8RvbDW2sS9nHtPlclHkI/07HcKhxJwMikQaxpGqyMgjGzOyuH2xHZGQ/aNgTcdPDUXRfr+rAN9otjIhFjkswlFY6mkSiVnLMPe/WgiP3m1OHiOf/9yJ5ib9CFDQtwJi+Hq/0vJLL9Ugcg4V/SBrS6LkB/rlsKFJ7A0yvZDAE4J7H+JF+ft0jnn+oSgNNFV7SDwLRRa0NLALRRK+LfuJAeu/2AkfkcTvIWCUBxf0uYH86iHlcOmasxK88D4ulT3Slwf/iADZ72rCcSgDuxDRkCcOCgLexMAxm9MAk+eVIkqWQoedQEWeC/Y1RfXA5uTjUE7xzZCxUd66C4jz8uj/uBqQCUTf4FheP2w99gFLUdcruzQ3szP/R/+dlRmc2TvjZcKZBTY/o1yWyulBiQZGC8dwYXuP0VFMtUAnbFLOI+d8uwL/DcWg8PbQxQ6OjAJQGnHJwx2jSeyrSTRCDWNA1djeIQ1qs3nGZ4VAlkt0U34QLh29b1sL1PE/Sba1c9iRBPMrReBdVyN7RZ4YE2i9uh45xO6DbTG6GpgRjpN5CRESWZpaGPSTIGdR2EkNRAdJjqjQ6Tu8DtfU90mNcJqsUecKmGpEe62mxxxYgZ1vguwgSPWtbl7u9zZR183b0xQj/SMDdhmwoeMzxh190LvU2TKNmSUN2wNAzGCNMUpDdvz/X3L7VviVeEGxSsdHDZQ4UNcbtEyc+aBHaonNxaOGgXU6Eih8mRkiThtpVRMCb595EFxauiQ3CmiwX2hMpIfzxjmOuBj34irBWhyJZIf66N3ojXhM3v6e6txXP9w+lTcd/HSCQABZuXcW1AL5yn9f48wM+rAmyb+r5G8P/djLF4dfovvC46gQf32OZf0vqTl/Vn5D9FlzQSAO4quKglANqotaElANqoFfFvXEhfVLyG+YGTFMCPX7NYJAAI1UHU1g2MDIicCcBrXpVm5uxMA7H/AA3wz85VTwZ+7a+D66Mb4ef97GTgJdO8ZJt85WQF0vfjb5yI9HS6CvDhjGkoDbUUf/iPx7QXH5udno6M8cmYk/4BSicf5RKAssm/YHPQai7ZiVKkwM44mGkI/qhvOK51UFAk4NvwDmx2s28EYpuNkc32kwSIvG1lFIo5A7/izgM4HjiEIgGv7PSwt/dsiXvQj7ju5iCCwmfW9XHOwVa2L+CTloEYYUqDfxL8xZqmIcUiBe0Xd9AIaCOXOGBHj8Z4YlGHC4yFSbeb+jXFoA9sayaPqQ5JWOsGjyUeUM1pD4+PqynfqcHyXeWM63a6svt2v1VdbOrXFP4rnKp8LZ/JPuLQNF4/RqxpGpLNUrDLyov7vZXZW+A1AfxhpYPznbqKsp5NI77FdXcHnPfsijUJ+6sE/6sSD8HfcDQj9xHek/RcFI7b99oNqp4+niP9Wdw3Qpz4K10bAtfQ5+mko3gW6CKC/5eddbH8/bRKyd8gX2o+yJGvPmUIQHl55dAvKfiWgnKpJCf7eAF2rspAxkh6uNnq+P74bcsy0f7zGWfy7727eaL+vzrZ/9zMIuQUXKzM7N+9h7O3bmoG/3cfUvtW09ASAG2866ElANqoFfFvXUjNN+6mAH7Lg8dxs09jkQDsfC+EqRIo4xezTbdVNAPPnu7GWIJeel+B37+2ZIB/pS2ougog/aEntyfNMvLWoJgkpgJQ0NNZ/OGv6FwHq8ezz/ll6jeyBODSpGNo3aSHbBWgf1u2IXhLL1+8aFOPcjfhSRwWRUXCzyCe+WyFbC85GVe4bWkYDD+DJHwUy2q0MxIP4W9JJaDCtq66D+DNc/4zdDvuOyspcPjKqi5K7VvK9gVkOjgjzSyJS1KE99bbNAlui9pWCW67rHbGkuFKXGxdXxYso5kOTnZq9FYB+tsjE67wW8kB8VtdUcLZp9MeDTFrtAW/KZpDVCKGRqCbQTzT3yD8m2SmdvrZ2aqj7PdV5GiP59Z64veb7RMtNvR+Muwz3FG1FI+PIu8A2WZfwet/hPkEbjWKfI9k/4WlYfCbpl8W2Fd3Te00SDb7f278IYYA3BkyARVealnfkYE+4rm9bNJYvPDSFa8BpaGW+GHXLoYAlBTLZ/l5wJzJ0GcV4fatbJw5/j1yjnyOM8e/x93barnPg7u5eFaexbX+vHo1n9kuj2hQBCD7LHLuqXsArpcXA0Un8ORCHi5dK+cTgJIr1P+vaWgJgDbe9dASAG3Uivi3LqRKnzEMwM+YGSsSgOfhunDdfZh+zv4TYhWAl6HnyXR4lqDVWUumeDPNtjzpj5z8yEc/EX5GiUwvwIqJqXjlWVcEAMXh1lQ/wKxZs/BB+myUTP5ZlgScHXsIMSap3MqHb6MEzO3RgwEw+0LaUFWAy51MuNNNZ0f0gJVRsNjYSu6bFGSTTcF+Bkn4OI6fvSV7Aoo7eWF1Ag3wNg//BpfdVcysgJu2TWT7AvIdnDFcMUwEeUJFgJyYa6kIgnmMTbWy625bXDF8pjV2hvPlMtuimzD/p+MGFyyKU2L4TBt4r5EfUvY2wb5PhjMSplph+TBzHPIzwk0bXdxrVY9bodjYr6koa/q0tyn6fmhXze2oYDfHCUOUSRoJcJoyDWH6Q5Dt4KKxkfukqh2+HLAWz+wMcCR8LGEduw6PnJtQBPGah5MoC+I1/doZR1JAX1qZ4jXJ+xuOxOIY+jhfHRWMn0LacLP90jU9IhxWRux1xkc/Ee+1ni17npaM+xq/9/XE3BnTxHP7VC9XKvu/4b14ZhJweXk5crP5IJ83hbc4u5QB7EVnznAn+1a1irKL5UmFTCNyztVbyLn/GLn3H+HluSyg6ARQdAJ3SotY8H/rHmMvWtPQEgBtvOuhJQDaqBXxb11IWxqHwnz/CQrgd/52FyUDmidtBv45G827Jss2qfK06j76idi43KPGBGD3bltxLgBP4sMjBTwykBD1PpPh/3WANwUCvkqMZp6zdsZHuDzuBzzoE4PyCT8x4GJO0HwGkIikx5i1OFzaNwKnu1iIBOBeO31s6O3PBTxj2/fnypyErC+5j0Lzqo/+G2egeH729nDkeFxu54Z18Xtkmj1/Qn6XSIoEwEoHj6z11Q3CMpKg4/YqtDb0F204ye8lSpECPV0luhrFwS/Vr9oym/YbXTB2vCX2BBvj4RsykDDNmnnesHQbiiRcs9PFX54G+Lp7YywfZo4pqS0wcro1+iywh/8KJ3XWvRp9BW03uSBhqhWmj2mBjMFm2BlugpOdGuG2dT3ZCkXMPBbchy11QOJUK7hvru7wLxVU693g2WwI13FKqHjFmqZhgCIRh2w8WL2/oxPOODqqSZqzC3aGTBJdnzaOqBwitztqHl44NKTAf1mHtlg/crds5l8A/3LHPSkBEv61MgrGvF708b2sbwRKPJu+GfTVAh/HsFUzYS2MDqeqYuSyVoTi/PjDsgTgoxkLqHN61YQx1Hmf3ccds2bNYghA6cVLDAgnewGkPQA8knDlcn6Nwf+tW6e4oJ9XfRC2c6rkhgjuL16/IoJ/FJ3AuZs3GPCfk32Wef2ahpYAaONdDy0B0EatiH/rQmppGAznkRsZgP/zKC+RAJTFKGFxiCYJ5tM3MsBbKsORApf3fPrWmAAcOmyLoZ1iuCC/OkvYvp9RIjMdeN70KXjgYygCgfs+Rpg3fQrVKPztyN546a0AOurgYe/eDLgoff8o7EzCGWIi7Hti234MmFkRE4pb7Q1R7NkMGVHBsqBnSd9IDGhKZ/tJmYW0CiJk3NXZ1tFYHMsHcZqkHSJRiBiPlzZ6jCSozN5C48yAdRZB8NOnm4STzNKgp6sU7+tqFAfHpPZQbap+1t1jkwvip1mj3UZWMrN4hFKjbEhuPW1eBw9b1sUDy7rYFcpOKPZe07rGr7koTvlfVBZUaJPRBp7NhoggWiAApOQn1jQN/RRJ2NGqG7fRt9DRAfdsjHDfxhA5rd2wdgQnk594CL+FjsJr2zoU+D/r5SfbBLwy4SACjJKpag/5PUvJAGnLmuAeVWVjfJaPlex5EEvMOJCeayv8V8mC/3OTD2BWOmsCsCltBK4GmeOZd30smTKBIQBC9l/w+9cExHnA/1xWKQozS3Dvbs2z/2fPFMiCf97faunPIxHgPyrJF8H/0wt5NPi/95AB/9omYG3U1tASAG3Uivg3CUBL41CYf32UAvhD1y+nqgAj1i6lCcBPx9HCNJwLtuXkONbGQfhpHx/kH95vgzOLm+JCugnzWFQI2wwstx25KoGlYTB6hMYxQOCbhCgqG/hHv84UAbgQZkNZCF5PXMmAjG96bmMkUML7jTYeg4W9uzOgZk1UIJZVQ/awOEY9JEwKrqSaa54sYniT9zDY+0OskpnaSq4NcbtQ2rEDdgxcS0lD7rZuwVQD7tkoZF2CCpyckePgjInKSr06CWTJ7PWUVmMQ5N0fqtVuNXbWIdfqQc3wuAXfXae667CfEVfq88Jc8/+716oe/vA2wLoBzZA0xQqd1/0DCdJWFdwWt0OiNZtFF4iTcDtAPw47bXy49p6Cyw9p8Xk4YhzzXa+N34vCLkEU8IetDrL8+yEjkR0sR9p9Ct8haf8qEBM5KVCgYgSj+98d1pYC//fa6SMjmk+GB7YPZc5x4fVDjUfj4sTKZv3yCXtxfdRq8faSmfP5LmBvpoOvHZco3iYJwIVz/EFbvEqA9LGLb0hD8ZlzFLB/eiUbTy9ncx1/xObfe3mUNKc68p+cssoMf9GtW1T2v+xqGdf5h7dfNQ0tAdDGux5aAqCNWhH/JgGwNAyGcshcWuJz6CRK+1mIBOCP+HZsM/DyrzS69PBuz56mYgB+5qbmoi1oRaAOfvuWbgze8aWDaAnKA8G8+3m3fQ0SMXncdBoIpKejONyaagheNzZBfPzjial40Vm30kmkmwXKJ+yjCMDF94/C0TRS9rOwMw5mtM81WYtjIuBvOJJLgMgqCzn5ltz+1G5rNBOAxIMo7uT5xiZUD4e7TxDlIutH/oBCryCKALywqa+RAAjVgN/t3DFIES8CWemMA5IgDLZIRKc5nv/YhcdtiysilzjgvQmWWDHUDN+HmSCzYyNctdfFyypAPJrp4KgPhwBsU+GanS5eKOugzEkPf3sa4JvIxlgWa44xk1oheLnjP7MoFdZmFbyndkEX4+HiZ0L6+AuVE0vDYIxTJmNriy7cjL+6wdcBd20UDFm772SONQmVMyL+M3Q7brjbS1yh6uHnyPEaG34DFWOoY47M+kurUKQTVN/Go5ljf3uPLnjRpq4I/l+0qYtPenblHvuLoiLh2yiBe46HGo9G8YQj1Ln4qGckXnesgwd9onF+4i5u9l9uCQSAdP7haf55VQBmKnBWEW7frgT2D+7moqLoBFB4AhVnT+Dxddb3//79PFwuy6ekRRez5d1/zmReRG5WETX86/alsyL4f3U2E3n3HrAEoOgSt6m4pqElANp410NLALRRK+LfupAKP6gtTMMZz//ZC8ZRVYCAL75kBoN1MR3DBaa8jLyPfiICjOMYS9Dfv2qJ1wE64lyA8nFGDEnY/h9HWBsH1Vj6I73P2jSMkQKtnDAGLz3riSTgSpASH8ycIT7+07BQqgrAkwKdn3AYCc3GyWbp1VnQqm0PDwSrsIKjhV4UFQkbBdsAKQVfPHckK6NQTOixURbgHewxmckGn+kSjPUjfxSfs6/ndDy1NwKsdPBzxHisH/pFldODBSJwxLYtTIhMNpnBFfZBAL7DmqYgptsAdPiwE1Sb/3lVgFxttrjCd5Uzei+0R2y6DZIntcKEsZaYltIC6aMtMGu0BUZNseL+X8+1rf87kM/J9nssbY9eXQZhWNNKEE36+ZNZdCNdJb6z9pUF/gWOTrhs3xwvreox4P9i+07YEltpDbsldgeeORpQ3/MTJ2PKDYpp+E04gBFm45nvS5D38OZUCLd5xHd9nwA8bNuAyv7vDm3LJ759I+BgQp/LAjlSg3+6Qf/myEXUeZrV26Pa4J8kAKVnyzQ2/EpBvxSYn8sqxbXSIgrYPyvPAgpPiOvRzRw2+38/D3nZhdWS/YjZf8L6M//uPVScPSkSgBvlF2S9/3nVhZqGlgBo410PLQHQRq2If7MCIPzAKj/+mgL4Dnt/waPu+jg53A3xaxazfQA/Z8N8yReyGXg5YJ6a0I4B+FfSDEUCUBGgw7UHTY1vy309cvAQzxVIento8Hjmx//nwb6UFOjQkADxsdnpM3ExpBUFLm7GL2ZJwPjD6GfKuvYI2x/AsQYV1vKYMLE5+LyXGZZxnIEWRkXCzphPdEgveAGUkfdZGYXKy4ESD+J40FCGBNxRtcSXhCRoS+wO/B0wTKwOZMTvw0lVO1F3LjSd8omAE7a3ao0E00rbUOG9kplv4TuMNX0zlKvbILSb7vXWyMD/k7VZBdUSD/j26Y54i2TqGBWAv+CcJIDcGEUy0pu3xykZ9yVhou9ja30G+D+3bYTDEeMrvydinerWXfx+r7s74pNhn2vM/JMNv9LjjpQmSaU5/oYjsTiaPn5XRofgRgcjCvz/4WcvW/VyaszO2LA0DIa/wSjkp9FVuMvjfsCrLqbi+fnMswE+mvQeIfXrg11x3RmnLykBOHUqH7lZtPafzO4L+n457/8zmReRl11IAfsHd3PxuqgS/L8syeRm/69dLpCV/PAkR7lZRci7fFsE9tcul4jg/3XRCRTcuVul97+WAGijNoeWAGijVsT/ggC0MA2H+d6/KYDffuceFvTLWILKZeGlAMLaOAjLFrvSVYCvLVERWFkFuDrGgJ0OfMAWAcZxTAMsz4lEkxSplSIEM6bOpH7858ycjuuBzUQCUBJmhdkEWPh4Yiqee+qJAONVF1PupODjo34UpwRLNfm+jRIwO4JPALJ9rChglNOtFdcacVF0BPo2Hk2BLZ4cisyWUvMJmozDygS+znt31Hw8dTKSyEN08UfISMYylGwm3dpvDW7ZNcZzK12U21vIWoZWVgTcEKI/jCICZH8AOedA+OwSlSmw7tQFHed1euvDut762qJCm6UecB/li8FdByNRSTfLCsCfJDzCPscokpFq0ht5DvJVlbOO9rhja8wM9YKVDoo7eGFr7JeyoH5t/F7cbGODU926Y228/MTflfEH4GDSgyurk5O6Cd9jrFkyk/n/qG84LnZuQh3jhd7NZe0/49v0ZbYpENu5QQskfv/H8CS8K0XQv4/rKZ67yyaPw9MuDUS734/fT+USgF27diErM4cB3FV58J/LKqVkOzdvnKKz/2WS7P8tNvt//34eigvOV0v7L0p/3th+5tx/jLx7Dynrz3ulhdzsf17ZLdnm4pqGlgBo410PLQHQRq2If1sCJCxpL0C1lh879bMqOY61cRDmzaKHg5VNMBIJAPx18PenLRgSMGeGink90hlEDviTIMXSMBi2ZhHMhOAN743Ec2897B8WhNnpM1mAMKI7BTKehHmhbNIxhgTMfWMNKn0/saZpsFEEY0EUC3rW9gnEvXb6FED63d+BC44WRKktEUlQpAmgCZnlNKX6c+rfZJxsY/C2YZ/jcjsVUw242rY1Phu8hft/vhy4Hq+t6ogg9Il1Q1y0t6ySCPxlp8LUpjGwNgyiAL/0bxJcJpmpZUKd28bAYVQHtJ/mDdXytz/BtyaSHtV6FTrN6wTP5ABYd+iKPibJTBVIyPIL+yBUPJLM0uCnH49RJtH43MoNp+SkPoTk55m1HgP8Hzg1w95es8Ws/5qEn6jqDblIaRdvLRy0CzEm9GRfXpVPev4Jsp8lEvC/rG8EznRpzsy/+DgmjHt8T48IR7TxGC6pb92kBy5Jzrk7g8dT5+WZSKfKTH96Os5F2lHVvU9HD+QSgM8+/QqZJ3O4chtG488B6WcyL+JUDp39f3iHzv6/uMjP/t+9o27+rbbnf8lVCtiXXy2TWH9ypgDfe4Sc7LOy26hpaAmANt710BIAbdSK+LebgIXF6wWocu09jpbGoRpJAA+cB3l2pcD9L9+3wqvgOiIBuD1CH4cO2VDPOXhIXQUgAQmZCSetSMlmRWnFwNIwGGNGT2BAwMKp7LwAcaWno6C7MwU27g5KkZ0SLGfVKdcUvKWXD56461FA6XCQCxckzesViRiTZEZ6oYkAkeBaEwlYnXAAfwfFosKurqQaoIc/g+OoptKMUYeR260XA0iF2QFVEYECJ2fkOzrjqG17TG7aD376tHsQKRESbpNzBoTH+pgko3O7vvBLCYDbnI5QLWoLtyVtofqoDdqscIdqdZt/RhK2quCSoUKHeR3gvrgdOs/vBLfZneCR2g0dIiMxzmo0I4cRJvMKoJ9HaqwNgzDLfCB2tuqIUxqy/VynH8eW4mf80kYPJ/0HUqD+m/4rcNutFZ46GmJL7I4qHaDINaHHJkQbp3LBt/Q4I/c5SpGCGJNkLIxij9Ujga2pY/p2ewOslrG/Xfim14XX49LPNA0XJLr/q2O24nXn+uL5+KCrIRZNmSies7tHRHI9/6UrPT0dK5dtRebJHC7Alw4DEx4vJpp0z2ddxJ07NLB/Xpopgv/XhSfw8DbfAai8pJArN+JWA7KKKNvPnPuP8aT4lAj+HxXnc7P/HyxZDh0dHezdfVhLALTxfyK0BEAbtSL+VwTA0jAYLT47qhHwM5OBf85G84TFTNZWTqYj/LBbGwdh7146w18y3YSqAmSvVzJVgA+mu8lWFuTkMNJKQZQiBf7GiUwVoKq1cOr7uN/NSAQcrzvp4trodQwJKBp7SJQC8TL0ck3Bn3f3ohxS4KajnpQqA5bsjOkMLE96Je0TEO4LMEqWHRiWMeowvh6QgTuqlhQJeGHfAJ8M+4zpITjQYwoeOJlxicBja31csm9ZJREQKgO/2rXDJ9bdMdI0mfrsyMZTUjYTpUjBtJaVpIAE36S8KFGZgpCOA+CbGqAmCCvc4bbcA20WtYVqTgc4zW4D9zkd0HZJB3SZ2QW+vXugt2kS1/WGJCYCIRHeY5qycgn/R3hOkP5wfG/lVXWm38kZRY72OOdgK97OcvXAuqGfY038PtxxscTZzn74ZOin4vewccR3yO8WSX1fxZ28uL0A0rUq8RCmdlsD30ajqONJjlSS0i1Lw2DEmCRjQS/2GF3aLxIfx4SKA78etm0gO/huSd8I2BnTJF2sGCpCcTzxR+ocK5+wDy986d6cT5KHiOfqyokpeO6tR835WDBtEve8jg0Zj+1Lv6YIAC/zrylDX3rxNAXqH93KoaQ/zy/xs/+3b+cxU3l52xJISM6Zi6y0594DXL5yCS/OZ6Pk+lWWAFy9hfmzlmgJgDb+T4WWAGijVsS/TQBIYKj0HcMC/8NZiNq6HscSO+FWbxPY7PudtgT98W90M0xigH9VFYFVy10ocH9kjzWeR9YVCcDDvno4fNCG2wsgfS0eUOEtEhT36j6yStA/d8Z0fDh9qnh7S0osKjrWATrqoKJzA9wa8QF3CNG+QTtgrQhlSJGw7SDj4VwS8G1ER7xyqyMSgNduOvgx1INvkxgdib6NRzOgjfcdSHXolobBGNF0LBb2+UK2GrAufg+y/WJQYauuBvweEq9RX/5byCg8sWftKGGlg2fW9XHFzlxjs7CUDPxt3xprWkQgQD9OlM1I+wSk/QPC3yRZEMD5tJapzBRlYQmAXQDrvCoSuV1p87n0849SpGCEaQomNe2Pb619kWnvIu/mQzX32uCOrTEqrOrgvo0RclzaYPOgTyggT2b8VycewJHIsXjipGCkWzfc7bEx7nuN4H9F/AEEKsYw54eUtApSMuE5wmcRYBSHRdGaZ1osjwlDXldLbOvZTQb8q4feSWVHwvY+DVrL6P4fdw+iwP+v/buI5+icmTNQHmxBZf8/GTOEe35PGDcFrRQhXALAc/sRgDh5f2FWCQPsXxafrMz+F53Agzv87H9RdrFG0iFdORc5AP/Nyr3/EDn36epAzrXbyM0qQtbxAhz/Iw85Jwu5BKOmoSUA2njXQwuHLq4AACAASURBVEsAtFEr4n/RAyD80Lc0DoX5AdrxJ+zT/1CWoLMXjGNIgoX36BoTgOHefZgMf+HCJlQV4MyiJsxzZk1tIwv4q1MVEG63UoRg+vQZsuA/Y/xoXA0yZ6QDhwf745avKQ6l8sG/sH5P3ImRTcdSkgkSiA9ox3cG2h3WFhVEFaBCAwlYEBUuWoRKM/1y+046BaUp0xCoGIOVGqoBXw1YjSIvf6xJ2M/RlP9AAdL1I3fjz6A40TZUum7aNqmR5EUgA3/aO2OGsh3SzQch2SyFAqYkAZDKcATgH6VIQXqrSiBLVgo0kUbhdaWVBzLjLxIq0xTMMh+ILS264g87VbUAf4GTM844OqLc3gKPJK4+r63qYPvgbbLfy/cxi3CzjS0D/F/YN8DvoQnyzdtvsv4ze34OP4Mk6vwXPhs5GRBZAXEwCa7a3rYaa2rHAbLXC1XTXhzd/3sU+C8NsaSse38b4E2B/z/7deKe3zNnpsPaNAxRihSsWLIF2SfzZPX9vGy80Cx8uTyfAvWPr9PZ/2flWVzwf7W8QCPZYMhI1kX1NF8ZAsBdJVeqrF5oCYA2amNoCYA2akX82wRA+q9yyRdMBeD4iDYiAbjRxxTW+/+gntNy/X6qCsAD5DxHIOl04MMHbPAoRk8kAC8i6uLIHmu6CnDQFiHNhnG3Jc10y0kYRMmSMoUrBfo8qT9eeOmKIOK7+N7iY7PT0zFv+hTMSp+FC5MPaSQBxxN3I8YklXmvUYoU+DZKwIwI1vJzab9I/BTShpICVbjpYE+oO78SEKWuBMh9HuQ2eUBWreFOw9xe8tUAuZXtF43Hzo1xNCKN6g9YP3I3fgsZhYeOTShA+12P2chxacM0t9aEEOQ7OuOEvTOO26twxLY9NlhGop8iiQHswr4J2X1p9l74W/pZSI9X8jHytRJMk7C2uQ/22LjipH1r5NdEz+/ohGIHK9y2NcFLq7pcsgQrHRwLS2E+8x0D1qC0Q3sG+KtlP574ZNinGr+zFfEH4NS4F0N0yM+IbMCWHrc++m+sPqW9LH0jsDfEHctlGnx5a1aEetiXtI/FR1897Kv0/aOS7P8RPAtSieD/URcDLJs0Tjw3tycPpsD/tUAzzJ0xjUsAeoTEid8vSQB4oFwA+1IgXZRdzAD7V+cqs/+vCo/jTm4mbv19ErfzMnGPqAScz658LaGfgFcBEHsQrnGsPatYpwsuIzezCHNmLWAkQFoXIG3U5tASAG3Uivhf9QAIP74WzSKZZuABmzKoKsCshWwVwDxhSZVZfykRWJgUxGT4s9crAX8dPOmti5w15kwz8KHDtti/3xYOzQIYoC9XBZA+hwQ2vcJZKdCySWPxpGtDEUg899ZDxoRkViI0cw5KJv+skQR8GDSfAVAC4LJRBGNuLz4J2B/sRpGAC57NZK0TF8dEINZ8NCXVICUtvF4MKfDz0U9Ea9M+1SYB/xm6Ha/sdEXwed9FicOR4ykisCZhHw52n4wbbvYo6dD5Td/AIawd/i2OeEUj39kFt20b44GNIcrtm1c5ZVhTlSDT3hkHbVtjn3Vb7LHphP22XvjGygcfNAtDgH6cmLUXCMD7LVK5ja0++onw04/HR60GIcMiFD9ae+KYrTt+t3XHURt3/GHnhlwH52pn+EnQf8HBGjdtm3DdfCqnLTdAfpdIfDZ4M92gnXgA5z27cYH/XVUL7I6aV+V39sHArzCCqEqR+yw9JnjSuShFCl++1jcCJ3xtxFkWH3FmWTDVq96RoqMVSbR89BNhrQjFmbSD/HNq4kHc7xmGio51sG3M0MpzdvI4POraSDxnX3jpYvX40Vzw/37qNPgaVO6XHAGQAnRyFWaW4O5dNrP/6GYOXp49gftf/oHyD36lexfm/Iobe47jSulpCoTzMvTkYznZZyl5T9GtWzh9955mAnD3keguRBIAHpGpaWgJgDbe9dASAG3UivhfEgDhx958+VdMFSBzuEokADf7NIbNProKYH4wEy1Mw2UlFeSPPFkF2LnTjgH4p1aY4ed91sz95Nr5nR2sjYMYACEF+7wqAPl3bNM0TBg/hVsFILOJNwKaYh7RDyCspTMXoHTyUdyIX4pryVu4zkCqpr2470UgAdNlKgH7Qtzw2k0HpZ1NZa0TSS21s2kwBeiFLC7PDYnUWpPErG/j9/BR7N4qweTfQbFcMPrAxQzHwlOxLn4P0Sx8COtH7mZeY038Xjy1MyCqBDp4aNMIV+3McN7BtsbVAU0EIduhNX60ccEvth44ZuuGP+za4KhNGxyxUeGIjRt+sXXHMdt2+NvetcbuPNUlAM81AP87rVvi15AkbByxU/YzP+vlR33WT52M8EtYMuPOxEh+Eg4iqfPHiDauJD0keRbIkfTcoKRjTVIxwCMUSyQkdFnfCOR2s6TI6ukuFhqP1bm9KqVrZEXG0lA97Gv/4B2yhLp08lHMnzEHa8aNEs/BD2bOQGmoJXW+7orrzgX/0ybPgJVJKLWPUgJA+vtLHX8EQnC5pJAr7bl3JxdXN/yhMSlwYcVfOHOihHlNORlQzoXLBLh/hCcX8lBx9iRulp2XJQKnS26Iryc0AR/a/au2B0Ab/ydCSwC0USvif+kCJPwgtjANh/mevzRWAebOT2WrADM3cTOHPPAt/Pg7NAvA/v3yQF/TWpjAJzBy/5J/k8DY2jQM6TNZKdAf/TwpUHGqlys7UTQ9HTlDBuB1x7p42dUcl8fu5JKAUWbjuVlXS8NgWBkFY2wAH+B/F94BK6LlJwlLScDAdqGwMqoctEWCKxL8Sf8ls7zRxqmY4J0hOzhMAPU/Rs3FzTY2XCLwxMkYxwOHYMvwr2RfY3efD2UBMax08NxKF3dtjXHZvrnaFectEYJ/a51xdESJQytct2tGvdd8Zxf82rkPCtt3YSb3nvYOw7d9l1ONvqsTDnCHdX0+eDNe29bBC/uGOBE4CBvidlVJ1JYO/RF2xpHMlGhSBsWr0JGPRRuPwft+vbgNvkXeSgr8P3evhy+6e8oeo9Mj1LMspHI8Afx/O3CrRvC8c9oW5jydN30qTvdsLZ6nub3duJN/09PTEcvp+9i0eAczB0CqyxekQLmZRSjJucgF//fv5+HGnuMa37/oFrY9U6MunyQgpy5WevtfvH6F8v2/dK2cbQi+9YByF5JKgKT7VdPQEgBtvOuhJQDaqBXxb08ClpPNWDSLhPm+41QV4O84d5EA3OmlgMPeX2gCcCgLFs0iZTPwcn87Kf1x4GDNCcD+/bawMw2kgIt0m1J9MQl4SPAxLGQ8Axh4mcV9w4Kp5+xI7Es1JT4PbI3yiQeYH/yL7x9FqPFohpgIICjaeAxmRFYtnRDWiuhQWanFvF6R8DccSZEcHuAnb/MIQ4xJGiYEbtQsC0o8iH29ZuC2mxWXCLyy00WRdwC+6b+S+b/bhn2OvwJjccvVRiMREL3vrepR9pj/r8F+scP/x951h0Vxft1VUUGq2LBTLDHGHgVRemfpzS5FmjQrEKWsvWE0JnYTEzWJGjX2BthjEiPNil0UFQsqYI3tfH/grDPvvDO7a5ofv7nPcx/Y2dmd2Sm759xyriluWpjgvrkRnppqcyb0XuxggV1OiVg2fB0WviVSm4Ln44VZfVzsY4PdvplYEsnNtKwM24DfXCNQ9XFTHHEfST3e2d6f4ZvwjSqB/1fRuZhkXy3vyT63zPVPklCmv4HMCIU2SkSGkw/vGvsq0BXXLY054P9p97r43rufIDmN6hYMuwZR1GCAqYEbtgxZzbtvysOnoDQ5Vxn9n5Q5iRrZV2RmYu9wZ9x2akrN1CkUCvi6j+B9NzElQGwVIJr2P9vJxl929P/GlCMqwf/11MO4pvgFJ46fE204ZpadvnxHGf1/fvmEEvw/v1SEE6TyT+UTFF2+yXk9QwCYDAC5PU1NIgCSfegmEQDJaoT9W5OAaY9NJn3LAfj+363gZAHmTxrBzwKsP6AcDkYjAjTCYasTDcWELqJgv2hJMxze2oa3fO7EvqIRf1pJA+05O91oTEjmqwLNTR2DRza6SgLw2rIWR1ZwUmYGzsk7cCcFe9igNOUA74f/yvj9cDMcySMrytpz3UhMF9BUZ/u8YA9ctWqMa5aN8FWgq0BfQPWsADbAIwkYrTSLzOCEGifB2TBBPBvwlgjs8lPgdveOVCJwysZL9PVrhn6Ho67RuNG9K16b0htjX5lqoahTFx4Yv2veCBVmBrhn3gi3LExwrV0rXG5vivMd2v1tWYMyi6a4b26ER2a6+NO0Lgfs0/yoSxTvMy6KzuaWRsXsw+KovdgRMBWXrPrjlUUd5fGq6Nwci6KFlXzEgH9WyEY46I3knEtGRpVs8CXPOZswBzccSb0el/s5oLyXLgf8V/XQxkpfW8FrdlTPQYKThYOMErF/8E+8++XB0GSgtwzPXbqhdOxWrElbTAf/LJ+SQVf2Gp2UAjtd+owDpgRITC2HaQQmG3+rKk7g6e3Cal3/k/lqRf8ZP7P7FLXsh73sSuG1tz0AT3C97AYn+n/t9k1K+U/11F/2+0lzACT7XzOJAEhWI+zfbgJme/MhU3gA/0CMlZIAPJFro+vWvWo1BAuV4zCPLYydsDebD/yPbG6DOyMbAA4ylMXr8p7PyeHOBqD9wNOW07ITDobR1FKglYlheGVVW0kCnvbXxoLxCZwShFtOJhwS8Mg/AKWEhGFp6mFcHXcAAxuN4kRl2ftprxsp2BjMNFye6t+KM131az976rqzAt41WrIBHvN5maZhdkkWs5xdnlFNTmKR4fOj6ibh6FxsDp6LK32s8Ma8lhLQrhu0hLfuivCfqWUsyyO2YqffZJyw8UN5Z1MlqL7V7WMsjM7FiuHrOWpCT03ri4LxV21r40VbLTw3rYdnpvXx1FQbT0x1lP7UVBvPTOvjT9O6eGyqQyUAf7bVUitLwZT2HHMcLkqWNoV8gRN2vnjS0YhKmGAuU6uxl/TB1lOpWTB2+Q8pFcs+58xyR/0IwYF1T7rX44D/8l56WObvKFzzL/eFXYMowUDA105LePfJvRGz8aZPHeX9dM+xJSZpOLyP8c9SJ6Kt0bu5HCTx/XrOepUEoDi/BOcK+I2/z0sLgHPH8fJKHu7/lqcRAbiw9SyHXLCj8uwsRHF+CU6WlePFpUIl+H92+SRf97/yCU6WPeR9DkkFSLL/NZMIgGQ1wv6rEiBbnejqXgBCEcjlxx84WYDVKQF8AsBqCBbS+KaVA01J52cBbiXpcScEL23GW2fSxK7UbaizXXZJRGs9Fzg2jEZGegYPROwM8+CUAt1zbMSZLjo3dQwqbAw4JKBiQCT1h784KUc5LZimZGSvG4mZfl5UMLUwwAX3iejr02518ZPcUrDmmukJII8DTR6T9hwDEG11ouGgNxLT1JQMXTNsNQrtg3Dt017U5/9wGopXFloo6d0bB+Sj8W3oOup6K8I3Y7v/dGwPmMGqk99TTQI6dMQrESlNTf1FWy0qAXhC6PQz/tq0Nu51NsNZazcc8BiFdYOWUSP3i6P2YGvgLJy09cHjjxoJgv435rVQ0rs3dvhPVTsDwJyLGb4/IKzRKA6hI0t9aIPj2MtCjZMQZBSHOYH8a2m3a1e8JKZVX7c0FsxCVTf8eipr/smsU2s9F4QYJ+EaQZTvxC7Ga8v676Zu966FH2MHKu+1qekT8WuIpeB0X7ZnpFfr/YsFAJgeAKEynJLCazhRcB7l5ad4E3/fsDT/H/+iXv0/OwNA1vsLzSG4dfokJ/p/5e5tfvT/wSNl9J9NKIRKgKQeAMlqqkkEQLIaYf9kCZAQ+Gd7sx9zeQD/59FuSgJQ7mcEi91HeOuYTFwuml2gAXNHwwheL8DhrW3wwuPdhOBnPnV4swF277JAUMM4XoRbKNIvBEbYmYD0dKKUIDMTeYE9OaVAa2MHcNZZNHYknvWtzyEBD4aOo/74T3aaRh3axXwGURIQ6MKrv37dpRb2O3WiSoVmOgQqVVfYoI/WEEoCRHaJEjuCambggXTXbzWeHcDOFDz8pCUPAN/raoF8xwHYEjSbVy5D+tfD16G4Qwdlac5z03p43bbWXyIAr9rWphIAps6/wkwf98wb4Ua75tgp/wyLo/jNujRfGbZBEPQz6kl/OA1VqeNP8y9CdyLDZiHCGo2i3gOkKhQ76s++FuwaRMG6rSumyr1519A6uRXnekMXGU73bymq+5/mWa32IyYtutxvIee+KIv/Dq/76nPuoR2hclbJXSZO+XauJuEOjfAlKxNHcy/ncGrGkX3f0wgAqf1/g1T9qTiJV5eIib93izTqASCVgHglQAXnUXS2BKfPl+DV+Twl+H989TSv7Odk2UMO+GcTCbEmYCkDIFlNNIkASFYj7J8uARLLANjqRMPENp4H7nv/vB2PvBtgSdoQdNx5kJ8B2F+IZjt/h41erCDRECoJyox04EX4z3zemJMFuDlan7fOVxNsYa8XSS39If8XAiNs8GTW2IM3JGxKRjqueJjiuXU9fD9yEBVwrEwMw0vLOpzoZXloJl/OMOUQ5tt9BVMDN+rxYCKxUz35YIzpAzjZvzUPlBX3a44FQXzVoKxgOSa5+SG44UhlPwB7bgCZEWGXiiSZJAnKRJoZeGCc09caE4EfhnwjCoiZBuJbPToj3yEEO/0nY0X4zxwCsTA6lzpY7HyH9rjc3gwl7VqjtF0L3LJohtsWTXDXvBHumRuj3Lwh7ps3xH1zI9w3b4hy84a4Z94Idywao8yiqVp9Ayc7fYKF0TlK9Z6lkTuxccACHHGPxTHnUOpnJvsjnnXQx5n+HtgcPLf6vdQ8dl9GZmOc09eI6TwDgaZpyqg/LbLPnuzLbgRm3wuBhvEI6eGG2ZSoP7v07Ey/lkAXGd50keGwY0fBuRRZwZ5I6j4AoY0Sefcgs21TAzcssP+KM+n3VuKPeNXPmAP+Dw+049xfRwb242TirniYCoL/iGFJaGPgSv1eYy9TNQeApvn//EYBZ+Lvs5sFf1kFSAnKC86j6GoZih5WT/69V3qJE/2/eOJstTTotds4ffkOigtKeCVEYiVA7IFjUgZAsppoEgGQrEbYP10CpIoI2OjF8iRBm+0v5CsAUbyF9Uje+9GAP/s5e71IrP32Yy7AzzVDeYQOtxRomQmPBCyZ1VuZCSCjfLRoKA00sZdFRYzmgYpZE1KweGysaNRxbcwAvO5d6x0J6FMH9yKmU4HAtpAfYWrgxts/BqQHGsZjYA++/joDyvY5f4zXXWoRNdm6+NaH3pCZFSzHwB5uCDSMV35eZlu0SbnsqD8zXKy1notyqBbzenvdWKS5rNSICKwZugq/ukairEcnTr+AkO/2y+S9x3aP5PceIPZe3qEjLnUwQ76VO351jcQ5ayeUdzHFa4vayv180V4bi6P28vb1mPNwPP7IGKdt5NgWOFOlfj9Z5jNz2BYMaKdQKvswzij4kJkbNqFlyB65XnsjF8z0V0956osgd1y3NMZmj08F18kK9sRHxu/uPdp+DWw0CkVxuzn3wa2kn/CyfzMO+D8e0Isj57kj3JMD/qts9fB5Cv8eVSgUGBs2QTnsSywgEGqchDVzN3AyAOySnBP553G+uFi09OfV5TzuHIAV9DkA19/+vfzF7xwFIHZEvqjwAorKK5XR/XP37+MNC/w/vHYORWXlHJlPVa7ImAaZTIbsXYc4n5H5nJqaRAAk+9BNIgCS1Qj7p75I62qZqO36YWNVgn2aN96Qi7oN2mi0rbpaJjDQN0F2DncC8C+bWuOlWy0lAXjuXQcHd7TlkYDQ0FYab0/IdbRbIi2Nriqiyn8e4csBMy9tmivlDEnfMGgJdOq1FN2Xhg1MMCeI3hy8Tm6Fx0Rj5ouutbHXpYtglHa6vzsMdf6e48Q5ZvXaINRhMhZEaqZg803YBuR4p+B8XwfBxthVw3/kve6ktVt1tsC8Np6Z10eVhR4etDPC3XaNcatdM5S2b4Fr7VvjSvu2uNzBFBc7mONCBwuOX+xgjksdzHClgykudLDggf5LHczwxEIHL8y18EYFSWF8/cDFvH1dErlLo0j/V9G5mD9iNzw+jYZOPc3vIzGvX9cE3t26U4nl58Eego3lQtcTA/7Frimdei0xwX40riUf5IL/URvx0qYF53456fMJJmW+68VZFxOMNyzw/6d1XSwdHUW990aMiEH9ei3UPhazZ81HXl4+8vKKeJ6fX4T790+wSn9OcEt/zh3Ho/Iinhzo3Z1/oJSYBFyiOILi1ceQ90chdVt5eUUoLH/IKe+pKjmrBP+vL+Th7IPq5/OvXBd8D9JjY+NRq1Yt/PLLb9TnNTWJAEj2oZtEACSrEfYhEIC69VvCeNHa9yMBq7ejbn1xcEvzrLl8yc+zc7mlQLfjdZGbyyUKe7PNYKD/9wElfb3WvFIgmq8YNQLrYkI4y3aEeQK9ZXhiY4xbiWtFSwKORK+HvrY4yNPXNsGcIDoAW+rvhBt9GvJKgn7wthYFbPH2NtCp9/cTgfp1W6JzGxeM9l6IBVEayllG5+DHwStwyCMRF/rao+rjpnjS0YgzLIvxaz26qAXI1fXydg15BOBiB3O1X/+inTZu9OqGjQMWaFzL/w745yA5YDn0tdv97eeFuY6m+dOHy63wc8DNPkao6lEfiwJc1MoMzA2RY06QB/S1xcH/jyFf8q77W6M24qVtSw74L5Z3xGSWnOd3CcPx0qrOu/4bq1r4Pm4w9T6cODENOtqafd8IEYD8/CI8eHCCqvpDlv7wZgJUnET+8UKc2JWHU1uO48SuPFHgn5dXhPyr17kDvSof4f71C0oCcOfGFRRVPkFh5WMUPqhUCfz37t2HlJTP0LRpU3Tt2k1wPU1NIgCSfegmEQDJaoR9EARAywR1G7RB071/CAL9j3fsw8rPQtB5O79pWD8qVePt6TYwwfYdZrxSoHtRDTgk4PT8JjyisHPX30sCDA3aiJKA1XFD8Kd1Xbyyqo01cUM4z20N98L88UnYNPFrXEs9KEoCTibt+EskYF6wB/6wM1eC/0KbNmqBt9lBHv9INoBNBrqZemD60I3v3TRMyoV+FZ2Lr6JzUWaq/bcSgAcWhvyyn/btqes+6WiE0l7dUGTnj1yvZKwdvByLNCU7LF8QmY3h9oq/Pdr/DoSbYLCVpWA52R7XLvizWx3l9XOpb1PRiP878O8pCv7raplggv1o6jVfERLBAf8XPNthSnqa8v5ZPioSz63rcUp/No/wEbwXHezlGh8XIQJwr5wL/p/cLeKA/5es0h/SCwrUi84rPf8kCmlDvSqf4EL5PVSWFONkRRVnef6Z86LvuXTpCtSvr42ePXvh55+3SgRAsv8ZkwiAZDXC/stBYKRySPPI2Xzwv68AE7JS8dBHH3CTYf04L+o6LZrIqTX37G2QPQLtmzhi688deapAf8rfqQK9dKuFXza25pGAXTvbwdEwgqq0I6S8I9QM3VrPBcNc+JOCFQoF5qWM4kQnX/TVwsrEUOq6n2fMwtXU/aIk4FTSHlgYeQg2LQcYJMBBbwRmBgjPCtjo2RvXLI3xhYhCC603YIS1O+x1I6nHh9ZgSjZPk9KhrfVcUFfLRLkstmkSghuOQpp8jerBYmr4nMFbMVgvBJ8ZuWFBo75YbtIGR1u2w4lWzVDaxgDPzOpqTABKzQzwi0U3HDb/CHtMe2KeiRyOOhFYYdIGc5paILHRJ0g1DsJww0hM96PLlmoW7c9F1rAdsO0QA7sGMcp+jLpaJpz+C/a1QGrZ0/pZ2K+xaxCFpB4Dqbr+TPboslUTXvbofi9dLApwFr1upvp6KAfO0aRmTQ3c8JPrUk6zL8dTDuKRrxfQW4aLHhaYygL/i8fE4Gl/bQ74zx7mJAj+ExJGKZt+2bMPyH4g8vuNnARcnF+CayVnuAO/Hp7A6wvHOao/j+6foIL/G1fFJ/zyJg0XnMeJ+1VU8C/m586XiUqH0pbRmoU1NYkASPahm0QAJKsR9l+pANFAYCtDN5jN2cID+FuTXDizAXxWfcNbp+XybN57i4Fz5nl7vUh890Uv7lTgxc04WYBrqQbU6cHfr24HU0NnHogWUgMRczvdaAweHEYFHnuGu3JAynPrevg6KYK67vSMKbiauh8VAyLxYGgyFRSdTcqGs34sFcwxf+11IzFV7iMMzgQit1vce2GTZ2/haG6wJ5Ks/JXa7TSQzwai5DAzNkEIMEhQAlnyM7TVd4NN+2hM8/kR80bs1jgzsCAyG+FNxnBUbZjGZPb+muo5YWzTaMQYDccw/WCM0A9AqnEQ4gx8EGfgg9kmwZjUZADC9AMRZzQU8gbDedKoDHlhf+YAgwTEmozGvFBxqVIa4P8ici+m+K3DiF5ZCG88WvkZ2MeWIU5CTb20hlZS4cdWJxqO+hHC06WDPbHXpQueddPigf8imzb4gqImxSaMkV0DlQO+aATaWT8Wv8ZsFiW811IPYnnaPOwKdeeA/4Xj4vDYpgHnvvploLUg+B+dmAId7ZaCQgPktGv2cWMIAAOmyWm/lZUn8exWISf6/7SskAr+y8pO8Rp0VRGAoqtlGoP/osonKDorPLhMFSFgu6YmEQDJPnSTCIBkNcL+LRUg2mNaRK+VoRuardzJAfc9tuzGYy8dJQEoHmKBljl/8LIAzU28edFMIRDOXj7cKpAH7kvH6eO1owwXJzdELtEwzPakqO6CYJ+JYtO2S3uufr0W8HINp5YDHRhsxyMBK0aNoIKVvcPcWcPCoqkTg8+PzsXARqM4+0ECcLsGURjVYzBmB9LnBZC+OMAZT7vXVcqFLvF3EgV4EdbuCG38TmmGOS5sacnWei6cicIkCGUTAHLyMBtQBxklIaXvV5gXtkuUDHwVnYt5Q7YiuOE7zXvaXxIQT2yVyAHxbAUd9r6QsxGEnmPIhpmBB7ICxAejfRmVg3nDd2CCwwrOfrPVe9hqVcktE5UEgFlGEi5yjgP7+AcYJCC2eTwmeGN5jwAAIABJREFUu/sKRv1X+trxZkmgiwyPetQXJYhZwXKku3ojtnk87zyy99NZPxank/ZQIv4HOOB/afp86j2yO9SNcz/9EcRVBGI8LSUDXs7hsNOtzprQyD6ZDWD+MseSPQegpOgaT/KT8adlhXhz/jhelOTTwX9pMU4UcFV9rhReE4y8KyU/38p9Kqf5VqiRDXj4SLktGqmgZQYkAiDZ/4pJBECyGmH/dAZAVSaAFt1rPmQKL8I/aeYYThZg2vQEfinQmmzBUgHaAC8GXNrrRWLnjvYcYL9/jyn+WN1CEPgznpNjjvZNHKmfi4xM04A/G0QwAMPblRLdz8zEkYHWKjMBX4xPxOs+tTh1z1X+QShN4fcHXEs+iIVOCxH+dsATex85jxslwrqtK6Z7iWQEQuQ4Z23CAXvPu2lhn/PH+DxYuJxoTpAnkqz8qNNcyTIg2qwAhgCwZShJ0EhmGex1Y5H06Xwk2y7FBI9VSA/+AVkDf8Zo+2VKAE1uiyQWZMkMcy2xh1Ix5TZsIM4B0U2TeNcjO7vBfj7IKAmRvT5Hus8P+HzwVswI2oiJLt8i2DwDdg1iOISE7exlDEFhjhsju8o+vjRywiY+DnojkGIvDPy/CHLD7/YWeEVIx6KLDGf6tcTCQOHG3zT76oFyJNEi96GDsRwXx/IVr+5FzMCfDu1xc8y2t+B/nmBEX6FQIHeoI2ApQ0FAd0yigP+EYamw043mHDMS9LNJKY1IswkArfSH9Ef3T6DqIb/0p+LhSZzL5w/24pX7EF50toQD7Evu3MLLiwW4dvumKAE4dfWuxpF+ofU1NYkASPahm0QAJKsR9k9PAtakDIbxlsYeaLavgFvik/MHzgxtryQAT+X10WfTNmovgBDIpu0Psyx+RE+VYF/IN63rCHu9SGqfgRARIsEgAzBa67mgjYErxiek8UFLZiZ+DbHikQCyJ2BdTAhnWBh6y/DE0x6l43ME+wI6GMs5pIiM/IYaJ8FeNxKzAjQv97j7qT7Wyy1V9ghM7BeknCjMBlDktcSOVLN7ANiAkQa42ZFZkiSytxdqnITklom8kpwkk3dAmnkdO+pPHjdaZJ+cicAG6uRnYJMx2mdiCAL7s5HHjBZBZzIn5MAuctvs1wYZxSHDKUAQ+DN+un9L3vmv7KEtGvWfGyLHRPtAtNV/d/zZGQh22VWnRt64Ov4A7xp+MGQs3vSuDfSW4blTJyz7bLoo+Gf8h5EDOXKgjGdmZsJen3ssmPtT6F4mjz9z/pgSoHMFV0XBv5iXlRYLgmxGd59Wh190/p3yz6mKKry4WKhU/Xlw/QKdADx4pCwzYkf6aVkG9sAvIbKgqUkEQLIP3SQCIFmNsH9zEJgYGSDXbfbFBl6E33PNd3jtVktJAg5H9+ERBdOsLbxIsDpg3NTQGUsXdVAJ9g/sNsW+vfySoMwRDlSyQQIxoUg7Wc8eYJyACcmUGQGZmTg6gEsCXvTV4qkDfZswHM/71uOQgOdOnXFzzDZ6rXTyQXzS2FfwMyhBbvN4YRIQIsfiACcU92vBA4HoIsOFvs3wja+dKBCcEyRHUo/qKa8ksGaDd8YZUMbeZ7KunnnMnkJMEgF22REZdWYTShqoZjsb0LMJATszwAaV7H1i1mNvn7xWyAwH2TtAu9bYRIH5y7nWiPIazrFsnAD/rm6YLaAMxS/9sVVG/193qYXjdmbUydFs4hfc3Q1t9bmEgyQk1ZN9F/I0/ktTDqAqcCDnOkdvGTZGBnDuh8kZfJAv5t7u4TyAz77WaOeIRr5a67lg7ecbUZR3Evfvc0E9LdIv5OcKrvJAuFhEnnm+qPhdBqD8+kXOxN+rdwR6A4rFswqauqYmEQDJPnSTCIBkNcL+jRIgsYi4aBZg73EeCVj5WQinFGjM/AzuOjl56G8YJwj8SaLB/mth7IS92cLg/9f1rfA4uC5Kx+nznsvOMUdHEwfR92cDA1qElg3KQo2T0NbIDWkTKMCFUg70yqo21sUEc9ZbPCYGlf31eQPDyuJX0UlAyiF0auTNiyqTwDjIKA5TPMX7An6SW6K8ly6PBLzqUguFtm2xOEC4P2BuiBwzAjwQbDoEgYbxPODOBrXsumwy0s0G1GwSwS4Xim2axCMY7Igz+V7k/2T0nDynSSbvehqYv8w2Wuu5KHsE2MecjMAnmSQpsw8kwSEzCOxMBe19yRIgIWLS3sgFkzy9RCP+8wVUoI7bmaG0T0Os8rFRSfacDMJ5jdVkNsTCyAPHY3bwrtcb4/bgqUd/zvX9uk9tbA334twHq+KH4Z5DI3yRnKQW+E+fmKGc8ktmTdj3N5lFYp9j9rLv569H8Tmunv/zmwV4ffE4HhNDvlSp/rAn7LKj/uRzJwrOo6ikDEUPq6U/L927wwH/lSXFdPBf8ZjXZ6BK5UcVEdHUJAIg2YduEgGQrEbYv5EBoEX/VQHl1nouaG7izYvwW+w+ghtBzZQEoNJbD9237OGSgOXb4dcwUTDTILYvSdE9qOC/YLkJZ1Lw2bmNqSTAtclwHtAnI4UkiGBAHdmYaasTDQfDaGSkU2YEZGZi/xA7zuTS5ZSm4M9TRuO2Q1MuSLJqgHsjZolmAkhQy44wxzZNgl2DKIR0cxOcGTA3pHpuwAGnTnhOKQt60bUOlvk7qIwozwmUI93RD/1MXWHXIIoXNWeXZdBq59mfgZ0RIKPtZMaIBH8MWCcj6+zzxT6X7OuLXE4eU/b2SJUd8r1JsM4Afvb70kqRGLLArEcSJ1udaIQ2SkRc+3BM95GLAv/lfg442b8VHvZsQCUB84PcVer7T/eVI7jhSN69Qh57L+N4asnPraT1+NPBgpvhsqqH70dyB3itjwlSyug+sDfC3FS63C7jGRmZcGzI70NhEwCx+5k8b2FNEnDk8EKcYxGAJ3eL8IY16ffpbbriT2XlSdwvP6Ws/WeX+wiB8uL8EhQVXuA0/p6seIQ/LxUpwf+rC/k487CCTgCu3lJZ0y8mAyqVAEn2v2ASAZCsRtiHJANKA17NXEfzsgCDV3zJyQLkjuzHIwrN1mSjpbGHSvDP3naAQQJMDZ2xZjWfABzd0Bov3N/NB3jtLMMfq/hNwrv3mMPC2IkXGRYCmezt00oMWuu5wNTYnZ4JUCiwO9QVL63qYHX8UEFQM2PiZ7jg2Y4Dlt70roWKkBHU5uDrKYewZ/B65bwAoQh4bNPqvoCkvn6igHFRgDMKbdviNasxtMSqsVolJWyfHShHklUAgoziOBkAdl09OyrOBujsCC2pNERGy9kEgw322OCcVqPO3jb7OfZfGllhkxZaJoF9jdAkSdkZEdo1TmZG2MQpwCABwQ1HIsVB/BzODame4nvCpjWnwXef88cancOsYDlG9xqI0EaJ1O8HZj8ddGOw1HkxVd//btR8vLI25FzPFTYGWDwmhnPd7wxzxxtWlgyWMuwKdRO8TzIzM2He1JNHHtkZAPJ8iAU57PUi8dUXHfHrr18pCcCj+yfw5jxX718oC1BRUV36Qzb6ijX+FhVeQFEFd+DXvdJLnOh/aVkpHfyXlfMkRlU1GUslQJL9L5pEACSrEfZvyoBq4sxrWxm6oVl2Ho8E/DRWriQAzzzrwXb9Rv5sgNX7YaMXK/r+tB96C2Mn7N7NJwGFS03whjUf4Ll3HRzZ3Ia33uYfP4a9Hl/nnkZy2M+xo9k8MKEfTe8JUFQPC1NV1jA5IwO/BVtyI6bOXVGaLDw47OLYfRjceLQg4GHvf8eGLpgTJA7+vvG1UyoFfe9tzXv+82APLPN3VJ0VCJJjvKs7QoxjOWVT5LFml8eQII0st2FH39nXA/laMupPvpYE/uz12ceLVOghjylDatj7S4s6k6SDdr3R1IZ06plgbPfBmOknHu2fGyLHdz42ONOvBYfAMV7VQ1tU5YntM/3laG/EJ90kEfMyjseVcfyof2nKITwcNFLZ7Mt4qXNLZLEi+5MyM3F0QF8O8IelDHuHOwveHxMnpMHBkK/sxD7mTOM0rfaf9JDGsVizulpZjCEAVRUn8OpSnlp6/xUVJ3G+8IpgZF2o+bbo9n0OqCdLfx5dPYMiciLww0c4dfUutblXHYAfHz0KMpkMv+YWSARAsv8JkwiAZDXC/qkvUlKTXQh8q7PMJCaLB+477DqEssDGKAjrjP4/beJLgjIenUXdB1rdM3u7HU0ckJPLJwGXJjfkDAmrHFQP+3eb8oeErWkPC2MnHhgTKvFgZwDYkV9OiYlxAlKTJ6oE+4yvjQ3BrAkpnGVbIrzx0rIOqvrr4/rojaJDlJhswErnJXDQjVHuGzv6zAbSZgYuyHD0Q5aK8o+v/eypy7e79cDrLrVQ3K8Fvvfup1Y0eWagOwK6uSG0MRdks/ePBNNC6jdkoy0b7JEReTK7w75+SZBIHic2wCTLkYQyEuysAnldMO9Dgn/y+rZrEIXANkMxWe6t8hzNDfbEBs8+uGrVmNrQ/bqLDKf6t8IKP9VlXFnBcozqOZA61It9LoKMErFSIOpfmnoYj71ceM2+hX7dOAO+pqVPxBmfTrz+mJ8jfQXvkwnJ6Qgw5p5n8juJyZoIAX92lsXU0Bk/rHknK8wQgJdX8zng/8/rBYKlP1dPlAiCfCFgXlx4jaf3zy39ycPZBw+54P/yTY7evzp1/aTHRidAJpPhYO5v1FIhTU0iAJJ96CYRAMlqhP2TMqBCAJ8srVDlrQzd0OynAzxw33fjFrTI5TcKczw3Hy2ayDlgTIhokGRAEWXP7wfINcPteF0OCbgzsgFyc/nKQGtWd4CpoTMVkNGiyKSiDS2iHWCcgOTENEEww/j3IwfhtWUt3HNohC/HJ3CeW5E0AstHjcC0jMm4miqcAaBJhbJBKBktZc6po34Epsl9VEaWScB5+1MDDsi82ccIO926CTabkiBzlr8coz8NRnyXoTAz4M8zII83reyGIa5s0E6SMoZQ0HoI2E5un50dIAdt0a4PkjjQZD/Zz5OfpRpUx8G/qxtm+nqrdT6+DHTFPuePcZ/SwM0o+5zq30qQxJHnJLVfEOx1I0X3sbWeCzoYy3E2KVv0Grw/7DNWs28d7BruzhneNTd1DG66NOfJ5K4mFLLYnj4xA/b69OZ8chlNcYq2viKG+73x669f4uIpbuT/5ZU8lU2/bCAtVIqjXKeghFf6c//6BZWlP2fO3VJZ6qOKHNAIAJu4aGoSAZDsQzeJAEim0g4cOACZTEb13377jbPu0aNH0a9fP+jo6KBZs2ZITEzEo0ePeO/5/PlzpKSkoHnz5tDW1kafPn2QnZ393vv4b/YAiEXYVD3uZxxPLQVSx5uvPwwbvVjqtsllbGBe3Q/Qjgfs9+8xReXgehwSUDLRkNo8nBHhKAgsyPp0dj07+zUkWWpj4IrhrmOpE4MVCgUWjY3Fc+t6ShD0tJ+2YI/A5IxJuJhaDbxujM9GVcAA3Bi7U7BB2Ms4XjByTkbK2xu5YLKvevKR3/nYUEtM0EWGp93r4ridGVb62mpUaz7ZxwNhnQcgyChOEDgLAXgmos7W/ae9lg30yfcko/a0vgH2/0qSRwH/5HXDvI6tDsSsY9cgCkFthyJD7qEZCQuRY73cknoOXnStjQLbtliuRsR/bogc0/094Kgfwbl+yePMfGbPhnHURl+aV3m74VF/fXyTGMa5jpePGoEqWz0O+K+01ccSoi+A7RnpGTA1duedJ9r9ytyftAAC+7XOxmG8zGHRjnm4XPQO/L+6mCcoAXqv7CwnIk82/rJB+JnjV3Bw72/YuTMXOSfPoODBuwm/V++UccB/VclZet3/2RKVZUVkWZAqAiCVAElW000iAJKpNIYAJCUlYc2aNRy/d++ecr3CwkJoa2ujR48eWLJkCdLS0lC/fn24u7vz3nPgwIHQ0tLC+PHjsWzZMvTt2xdaWlo4cuTIe+3jvyEDqkm0nxb5Zrx55Gy1AH+rnD/4y6OyBIG4mFsYO2HzZgsesD+yuQ2e+dThkIDiOXxloL3Z5nA2DqOWkZCZAJrKCFlKwv4M3u7hVGAza0IKrniYcsDQa8ta1TXQNNKQqcCi9Lmo8vWqlgrt3xR3or8ULAla5/sdLIw8eCUzbMLCeFt9F0R1G6CWjvxyPwcctzOjqgYxfqu3EXKcO2NRgPBEWRoZmOTtgaSeg2Dd1hWBhvGcSDwtSt9az4UzJZess2c+LwPCSSDPfj9VmQhm6Bh57mn3AHl/BBrGI8I8HPH27pgq98Z0X7moMhPbv6BlVoI9OdH/R93r4xeHDmof76xgTwzo5obYZu/mOJD7zrizfiw2+a6ilvzcGLeHt+x86h5MmzgRcz4bx7l+N0b5K5V+GL/lYoK5qWOEwX9GJkJb8MumaN9BzGegDZ1j+4Bm0dhD9A6dWNQMl76ZqSQAr88fx6P7dPD/8P4pnCjgy3uSoLvweDHW/bgRM2bM5HymGbPnYN3eHBQ8qMLZBw/x+Opp4PxxvLxYgNM01Z+KxzxFISHgT+6TKgKwe8d+tGnVFhYW7XH79m2NfjskAiDZh24SAZBMpTEEYMOGDaLreXh4oHnz5qisrFQuW7FiBWQyGfbu3atcduzYMchkMmRlZSmXPXv2DBYWFujbt+977eO/QQBo4J58TGu6I9dpZeiGZnN+FI705+Zh1tSRODfYHGZ7jvKmBJu09BWM/Ivto4WxE3bu5JOA339oiZeu76RB3zjKULSkGW+9Pbst0L6JIzVyyN6WUBOwUDQ4wCgBCUNTBSL76Tge1IvXCHna92NMT/uMt/66mBCeSlBV4EDB6cHXkg9iivNMmBq4UYEpGREPNIzHAPNBaoHTBYFuyHXujPJeeoJE4FWXWlipYqiYGCGYEeCB6V5yTHUKQD+zdxKj7M9BDtkiI/9MWQ67z0Covp3MmpDnlDxerfVclDMK2Pti1yAKYWYRCO7mhmly9cp62L7E3wm5zp1R2qchynvpUuU6Dzh1ws0+Rtjh1h3z1GzwzQqWI8LanTPJmUasAgwS4KAbg4WOC1FCDvV66+Vhk/DK2hB3o79AaephXE7Nxbz0WVBk0sH8mrghHLWfMz6dMC1tgiD4T02eCFNjd85xJzM8QvenEFHoaOLAmyFy/LsWeOVSC5ffEoA3547j8V1h3f+Thec4oJsGts8cv4LFi5YJfjaFQoHF3616mw14jFs3S4QHft24K95ToIbcJ5sA/JpbgOL8EuzYkoPmJi3QsWMnHMz9TfWPBWESAZDsQzeJAEim0tgEoKqqCi9fvuStU1lZCS0tLSQnJ3OW//nnn9DT08OIESOUy5KTk1GnTh0OUQCAGTNmQCaT4fr16xrv43+hAiQUgReLFjLLWhm6odmabB74/2jnAfw6oodSGWjdOG9qP4B1E9XZCFrEvX0TR2TnUJSBlpngteM7AnA2i58FyN1njj17LDiZABIcsQmAWCkCCajaGLhimItAOVBmJnaEe+KVVW0OCbjr2BgLx47krJv12Thc9LDgNVm+sDfF7ZHLBEsyLozOhWdDbokNOdiJve9mBi4Y5eCuugn1bTR6ndwKZ/q1wIuutTkEoKKnDhW8ik2dFfM5QXLM9JND4eaFTFcfpLl6I9XBD6k9q/sJyMZnmqwnKfnJZAjYn58El+xzzLx/oGE8gtoORaZDACZ5emGGrxyT5XLM0CC6zz6G3/ja4aDTR7jRpyHeEERqDa3ZWp1zwwL+SX0DYWbAj5iTZVUBBgn4pLEvLo7dR72Wbo7Zhidyx3dD6/o3wfbkLwWBP9tzhzoCljLsH2KPSQKlcQqFAknhn6GNgSs140MSF/J7gk3Q2d7RxIH63VC0pBleOb8jAEKKP5WVJ3Gt5AyK80twpZBf6sPOAKz7caPKY6FQKLBubw4d9LO98IJgjb/QoC8xAnAw9zds2bgLTZo0RefOXXDkwB9SCZBkNdIkAiCZSmMIgJ6eHmQyGerUqQN7e3scP35cuc4vv/wCmUyG9evX817fv39/9OzZU/nY2dkZnTp14q2Xm5sLmUyGbdu2abyP/1YTMAlm1XVa6UOLJnKe7n+L3OP4jUUA4CZD/JdT+SQgJ0/ZFEwjIGKZAHeTodQf+rNZjfHKpRaKFvOj/2zfufPdjABaBoKcAyCUKaHVhDs1ikZmBh34fJMYhkc2uhwS8KKvFjaP8OWUBE3KzMSu4W54aVmHyAbURlXgIMFswPWUQ1jnvRIhxFAr2mdh9t1BbwQSHdzVjmB/FeiKbJdPcLOPEdBFht/tLajAtaKnDu58qo9j9ub4SW6pVgOxOiB3VoAcU73lUHi7I9Ndjilu3pjk6Y00T3dMc/dBpoM/gnu4Ib7LUAy0GAKfT9wQ1W0Agru7IaFPINId/aDw9MIUuTcy3Lwx2dMbqW7umODhjlQ3d0zz9MZ0by/M8JOrlFNV5V8GumKzx6cosG2Lhz0bCGZR0EWGPFvT9yZMiVYBsNeNFLxP2RkNCyMPHBi6ka7wk3LobdTfiEdAd4R5qgV4FZmZ1EF4bB8ROgptDFw5A93Eav/J65jsAbDViYazcZjo9PDj37bAxe9m4cJp4abf8vKTnGFfQlH3M8ev8Mp+hHzG7DmcngDST5XcVVn2o24mgCEAq5athbFxI3Tv1gNHD+VLPQCS1ViTCIBkKu3o0aMIDAzEN998g61bt2LmzJlo1KgRtLW1UVBQAADYsGEDZDIZDh8+zHt9cHAwTExMlI87d+4MR0dH3npnzpyBTCbD0qVLRffnzp07OH36NMe3bNnyjxIAsdpnGuAWczbwbfvFDh6477llFx74GigJwBMvbbpE6JZf0MrQTRBgk/vIfiw0KfjIz/x5ADTftbM6E0AeD6FJwKRSDe2YMftoauyOjIn0gWFzU8fimltrXknQCb8umE6USywcG4ebTs352QDblrgbNV8wG3At+SAWOi2Eg24MB/CzB2uRDcNmBi6IsHLXCPSu8HPAUn8n3vJvfWx5APdl19q4ZtkIRx3a4ye55XtnCP5feLAnrlsaCzZTs720T0PkOnfG4gBnjYF/eF93TsSfnHxMziT4pLEvSsbTy31ujdqApx7WvGvtibUOfooK5FyXU9PT8HtwH2yK8lePFLz1zMxMhLqOhZ0uXelH3e8hsgSoujRQ9T3/++EFnEnAtGFftKm+DIBm6u9z9x7W6HPnnC6mE4DySuXAL02m+zLZCaEm4AYNGqB1qzb47Qh3HoCmJhEAyT50kwiAZO9lFy9ehI6ODtzc3AAAq1evhkwmw7Fjx3jrDhs2DIaGhsrH5ubm8PDw4K13+fJlyGQyzJ8/X3TbCoVCUJXov5oELBRtV/X6lsYeaLbrdx64H75sHicLUN0P8CufBMR9LkhOSLLBft5eLxJrVnVQC+wzsqH8ciBztG/iyHtvWg8ADaiQEUt2NNNePxqpKfRZAZMz0nkDksqcm3F01Nnr7hvigFd9avPA2WMvV9wcs0WQCFwaux+jOk1SEgF2eQut2bW1XrVcZbJ10F+Kfh927KgS+L7uIsOdTw1wwqY1sl0+oTfCfsD+ZaAr1nr1xS7XbtTnr1saC/ZMXLVqjBznzlhCIU9iXt1E7Q7bt70StPNIljsFGCTAwsgDa/1W4loyJeqfvB8PB8XhtZUO7/oq9uqILKLRd9HYkbjt1BSwlOFP67o8aVtB8J/Bne7LEBRaaR2ZpaJl6JjX2etF4vvVFirvdfYcALG6f6FoPFv9Z9f2XI0IwM68Qj74f/gIxQXqa/yrQwwYAuDj5Q+ZTIb0iZMlAiBZjTaJAEj23jZw4EDUq1cPr169qvEZAE1IgCa1+bY60fBqNgrN9vKlQZekDeGQgA1jPHklQ832FaBFE7lotkEoUuhoGIHvV7dXCf6PrWmBh8O1cWhbW95z2zZ3QNDb2nkywkjLepCkRCxq2dbIDekp9EyAQqHADyMH4Ul/Hbzoq4WF4+JEQcSisSNR6tKSWxLUpw5ux3+rUrLxyrgD2Om/CiEUmVAGiJEZgbb6Luhv5op0V2+NycCiAGfscu2G4n4t8KR7PZVk4GXX2tQm13VyK6z16lsNlDWoh/+7vHoisgPWyy2x16ULjtuZ4bJVE1T20FHu+5suMmo241eH9sp1Knto42T/1tjq3hNfBrpqvB9ZwXIk2bvDwpDfwMwG/UwzNHNuQ4yT8LPfasGBXnejF+CFvRmfWPZrgA1RgbyytN2hrnjZl6vyU+Lehq5oRUT+nRpxJyKzv0vY9xEtY0neZwxBtzB2wo/fc+WBD+w2RXmEDgqWm6hFACoqT+JU0TlBcE1T5/nLGYCHVbjI6jEgo/9iswDEnCEAB3J/g79vEGrXro2Z0+ZKBECyGmsSAZDsvS05ORkymQyVlZU1tgdAU4D/PpkCW51oNDfx5oH7Vjl/4Hh4Fw4JmJCVyiMKJtt/R0tjDyrgFiIw7AjgV190Eq39felWrRBUNaAeDm7nk4DRI7vzMgBkvXwopa5eKEvAyVToR2N8gvDU4M9Tx+CHkQOpz5FNlJMyM7Az1B3PreoBvWWoCAhQS7NdWRqUcghrfb7DiMajeSSOBFpsIBlkFIfkvsGYHfgeQDrYE6t9+uOAUydc6tsUT7vV5RGAst6G1NfeYQ0ke9m1Nh72bIDrlsYo7tcc+bamOOLYATkun2C7Ww9s8uyNtV59sdq7P1b62uJrP3ss93PAMn9HLPN3xHI/B3ztZ49vfWyxxrsf1smtqPMMlvk74kafhqjsoaNWCQ+6yLDWqy/vfb7zsUG2yyf4xtfuvchLVnB1s3Fch3C01edHxWmgn3luYKNRyB20XlDdpzT1MO6NmMUD/ugtQ4F/d8yakMy57r5ITsJV97a8srWbLs1VZgBSUybCwZA7p4H2PUIqL5H3OZkBcDYOww6i7Gf/HlM8CNMGHGR47Szj9QKRBKCi4iQuFfEbbVVlAQryz2HG7NlqgX9eD8DDRygqvKAWyBeK+gvtL7sJuPB4MVxdPKBVRwsL5i1GcX6Jxr9JKOscAAAgAElEQVQdEgGQ7EM3iQBI9t4WGBgIbW1tvH79GhUVFaIqQBEREcpl48ePp6oATZ8+/YNUAdIU/GtCAtivbbZgIw/c99iyG+V+RkoC8MJDC96rV/JLgdZko5Wh23tt19TQGetW0UnAvSgdzoyAqoH1cHAHlwTk5JpjdFwPmBo6I8AgQRlhJGuqGQlIdhSTDcxo0fUAgwSENk6qVggSaA6mg/8MXHVvi31D7DE5I53z3NzUMTge0BMzJnyG4tRdRElHLsoSVqsgAgex1m8lnPVjOcBMSAqT+T/QMB5927oiqUcwZgZoPtyKIQQrfW2xx7Urimza4HZvAxTatqWu96JrHbUA+Pv6yf6tedtdGOCi0Xu86FoHO9y6/21Zh9mBckx0CEBww5GcvhRaBop9/YUaJ8GzYRyOx+wQjPiTpT8v7Noogf8dhyZYSQz1mpSZiZ1h7vjTui4H+L+xlOHIQGtMIa5LtmdkZGL423p/GnEno/9C5T+0zIBuAxOeHPD+Paa4H8691ysH1UNujhmVAFRUnMSlQj6QZgNzsta+OL8EJwrOo6i8Cuv25qh1H3NVgB6jmPWe5PbEmoHVIQjx0aM4cwDyfj8Nm352qFevHpYv+U7j3w6JAEj2oZtEACRTaXfv3uUtKyoqQt26deHj46Nc5u7ujubNm6Oqqkq57Ouvv4ZMJsPu3buVy37//XfeHIDnz5+jXbt2sLS0fK99/DcIgCYAnwSzNHBL/qD3N4yjTgkOXLkUr9xrK0nAnYBG6L5lDz8TEDtXEOCQTgIEC2Mn7KLMCDiwyxQPh9XnAQNaJmDnTgu4NhnOUwEigQhNVpH5K9QfEGqcBAfDaIwbS58XQPre4c5KwHXbqSmWj4qkr5upwJz0Gcopwg8HxeFN79p45OuNm6M3qcwILHRchCCjROU+snX2GWdP4GUfBwtDF4RauWN2oFw9OVENfHGAM16pGYF/Xz9n3ZxKPF4SUqdMBuLep3o4b22CXx3aYZt7D6z0tcPnf8Pnnh0oR5KDO/qZuqKtPve6YoN/9lRk9jXm2TAOedEiwD95P3155DQ861sfe4a58kjmwnFx1Gb1B/ZGPKLAA/8TM+HYkJ9hIq8h2vPkuuQyU0NnrFptqhL8Pw6qyyv5YxOAk4XnROvqaX+L80tQdLVay7/gQRUWf7dK9Di8mwNQTQBOlparBPpCzcCq1IDIDACzzrGjJ/Bprz5o0KABfv/9d41+OyQCINmHbhIBkEylOTg4wNPTE9OmTcPy5csxevRoNGjQAIaGhjh79qxyvfz8fNSvX58zCVhbWxuurq689wwODlZmDJYtWwZra2toaWnh0KFD77WP/8UgMFWZAHXXY/+gm7T05df57y/ElJmjOKVAa8f58LMA+wpgEjUHNnqx1P1QRWDaN3HEnj0UErDTFBVDuCSgakA9ak9AdrY5GhrxZQaFAIvQcaP1LrTWc4GdbjR83CPo8wLe+qwJKdSo6+/BvTFjogCByFRgccokvOqr965HwLIeqgIG4OaYbaJE4OKYXE6zMPvzkE2mJAlghmTpa5tgoovPX5bOZPvnwR5Y4eeAn+SW2OPaFUcd2qPIpg0u9W2Km72N8LBnAzzrpsXT1FfXr1g1oW73N/t2OOzYETvdumGtlxWW+Tv+rT0IjJxpUs8QdGzeDnYNopRlPMxEYxrJZl9TDroxyOgyHYUJO0WB//1hKXhpY4LbcV8rl19OzcX8twO9Zk5MIaL+GTg42IY3swKWMhwP6kUdXsd4ZmYmosJHw16f36NAq/MX+76hZQlMDZ2x5otPeTX/TNmPEvwH1sXhLXw1MIYAnC+8wov8qxrCVZxfgqLCCyiqfKwE9AUPKrF360ZkzZzBOQ7sScDsab9M6Y/Y9tiZB3XJgbqEQVOTCIBkH7pJBEAylbZgwQL06dMHxsbG0NLSQvPmzTF06FBcvHiRt+6RI0dgbW0NbW1tNGnSBPHx8ZyMAGPPnj3D+PHjYWJigvr166N3797Ys2fPe+/jf9kD8D4lP6JAPPZrKrjfPMoVcJNhW5IzXRHorZvN2aIkATTgL1Zz72wcRpUEpJGAR8F0oLBnrynSwp1hrxfJIzikPKjQ8aDtK/t5x4bRSPtMuEF42ehIpdoK26ts9bAxKoDaeLk2ZgBVLei1lQ4qAwerJAIl4w9i39ANiO+gQJBRIiebQSMz7L9M1oRpHk6298Nsf/n7lQlp6sGe+DLQFUv8nZR1/qu9++N77374wdsaP3hb43vvfljt3R/f+tpihZ89Fgc4/avKQ1nBckzz88DQPu5w0BvBqWdvrcdtxGYfc1K1qYOxHDsHrsU1kfr+auCfipc2LZTXwDM3S1xN3Y/v0harHOhV7N2RF/X/LmG46GsyMzIRYMKP7AuV9tAeC/UC2OpEw8LYCcuXfsS7p8nsnhD4ZwhAUf4JasMtA8xptfXK0p/7XD3/2zevAueP41XxMVw5vBv5B/ci9/RZuu7/1bL3qvlX5UJkgeaamkQAJPvQTSIAktUI+y8yAOoAf6Gondi6rQzd0GzLL3xgv+dXJH8+kZoh4JUDRWcJRuFVAeyQxrHYtZtOAkjA8CRAC79sak30BFTXDc+d8zFMDZ2ppVDkZxbLFLDLaMhsQKibwPRghQJTMtKRO9SBp7zCqK8sGRPDe80XyUk46fMJtcHztaU2qgKCcWvURpU14ufH5GC+3VccCVEGqJKAjQGyZJTaVqd6vkDoxwMR3d8dCo+/Plzr/4vPCfLEDG85Rvfzh/cnbrDXjeRFwxnixDxml/iwgbCtTjRCjJOwd8h68fr+8Tl4MGQMXtqYUM//iiTxAV2Mz0sZhRd9tfDaqhaODuiLacR8CtLTJmQgoDG9gZecRUC7h2nNv4wHNYxDRqQjb8jXoe1tUTmoHq/sRwj85+4zx8b1S5GfVyQO9CmNtifyzytLfxgvuXMLOH9c6X9eKsLph5UCev8VSr1/0lU1A7NViFRlKVQt19QkAiDZh24SAZCsRth/kQEg69nFALemJKJFEzm1H0Btz81Hf8M4tYgJDVi4NhmOnFwKCdhligeh3JKBZz518Nu6VlTQkBHhyNsW7bjRmoBJ8EOTcAwwSIBZYw+kpwtnAxaMT8AlT3MeCXhjKUNeYE+eVrtCocDiMTEolnekAsE3fbTw2NsDZfHfqSQC20J+VGYDyGPNRKeZ4Wnsz0lr7Aw1TkKgYTyC2g5Fsp0fZvpWA+X/Gqz/9ei+J2b6y5Hu6Y54e3cEtRkKuwZRnNp9WtaKnTlhkwDmODNlQc76sTidmC14jm6O3Y6KAZF4Zd2Qer4f2DfD+uggnqrUzImpWDo6inrNbYwKoBJMMuofGTYKbY3cBL8/aGVjtPuJfX8wx8zU0BlL53zKuyeP/NwGj4Pq8kr6Dm8VBv/fzOmNb7LWKwkAOeCLjKRzMgIF56vVe94C+nP37+P1hTwl+H91IQ/ny8vp4P+t6o9YiY7gdtV0cn0hUqGpSQRAsg/dJAIgWY2wf6sJWCiSrW5ZEA1wC/3oWzdJUCva3zLnD1ht3MJ/buJywSi/2H4wroiyp4KB/XtMUT6C2zT4zLcO9u3lDxDavdscYU24pTC0z8sGMGywTJYPkUCH+Wtq7C46M0CRmYmfogNRaavPIwK3XEwEtdiXjYpCqWdXKjB85tJDLfnQZQ6L4NMhEkO7JiKmXQYcdGM4JIytnCSUCSGPHfM40DAeYWYRiOwaggQHd0xy88UkTy9M9/n7G4v/OtCXY3aAHBM93JHu6o0pzgGI7zIEZgbVqlBiEXxyUBc7A8AG/kFGiZjUeSrGfjIVM7pOhamBG34evIp6XsoSVuORny9eW9annt8n9q3wS0QEJmVyr6spGWnYFeqGJ/11UGFngGnpwjK1Qh4+LBFtjdyopT7k+SePhRhJYN8zaeHO/Ps31wyVg7mR/8rB9alN/Yx/N783ghrG4es56zkZAEaFhzbtl00Sis6WEMD+Me7euKwkAFfvlNHBfyW37l+sfv99mn41LSHS1CQCINmHbhIBkKxG2IcyB0Ao0q5pJoD5sTeJyRIF/xa7j2B/TF/c82+IPpu2cZ/fdUwpDSo0FVQIdNjqVMuDblr9CRUU7Ms2w+043WrNcCcZdXAQ49HDesJeL1Jj8sT+y1ZuIaOgzPI2Bq6iJUEKhQLT0ybg8KD+nLKgdTHBIsSh+u+SMTE47f0x3rAA4r0RM1WC/+sph3CNKDu5Mu4ADgz/GRE9RmNS56kIMkrkEACh80QSH+a4sP+y1w1tlIgIswgkWQViirsf0l3lmOzphUne7pjh7YVMdznSXOWY7ivHHA1mFGQFyzHT3wMZbt6Y7OmNVDd3TPX0QqqbezX58PbGJE85xru6Y6KDP9JsghHWeRDsdSMFiQwD/MmMB/uz0a7hulomcNCNQXwHBbYMXoUr47iKPUUJu3A95RC/9Gd8Dl6zGr7Zfsup+duIfwbnGpiUmYFNkX54YG/EIZD7hjpoBP4jhiXx5D1b672TyRW6N4SIPO05C2MnbN/SnprFO7ampXK2x4MwbRzYZSp4787Pqi7ja63nggVZK1GYd1Lj6Pqpq3epAL+0rBQ3b10TAP/idf80QiAG+lUpB6lqDL5YcE3j3w6JAEj2oZtEACSrEfZPfZHSwD4ZtVMXVNMAnRChYJbZ6MWi2ZpsKvjvsOsQzgxtr1QGujSwDTrt2M9Zp/OghbDRixUkLWIEJcAgAY6GEVizqiMdIOSYoXScPk590UQQQCgbg3e3Q9aEfrAwdhIs56BF9sX+p50LW51ohJokYdxYYbUVhUKB+clJOO37Ma65taZG/+d8No4n7ah4W070R2AvlDk2w+z0qTgy4WdcS33XUFoeNgmPvVxwN3oBSlNEGk1Zfnncfvw0aBHiO2YivNEoHsEhATB5rGggmt0zwY6YC4HIQMN4WLVxReJH4Rjaxx1ptsFIsHfHxH4hSLYOwhSnAKTZBCO15zDY60ZSSQh5TbNLeJh1mP1ifyb20DT2+7Ij++zXBBlVZ1Lm9pqDH0MW4Mr4A6IETOi5Kv8gDvC/5G6O1XFDedfDpMxMrI8Jwh2nJrzsESxlOOPTSeU0X4WiWuUnxi0Zdrrvjg1N+paM7NO+L8isCLPcXi8SSdHdsHev+P2Yv8IEt+N0sX+vMPhfMa+HsoentZ4Lvp6zXi0CoFT8uXEXRRWPhAG+mJfdV0tmlLZclTKRptF/piRIU5MIgGQfukkEQLIaYf/UF2ldLZP/3hu0QePNB6nKQOvHeXHkQfPCuvAUgprsOAr9sLGoW7/le21fu74JwsJaKZt7/4rv3mOGsLBW0K7/zx6z+vVawMXZSzQboFAoMFWgfOOipwXu2zfElhHe1IFNnLKQTAXWpC3G1dT9eO78rlzopU1zVAaH4Vbij2oRgdLUw7gy/gByI75HnGUk9LXb/PfX3gfi+tptkGAVjaPRP+GqCOBn+41xu3B/WAqeu3TDraR1XNKVmou1YybghaUW8v27Y/GYWOo5/ik6iKomBUsZypybYXX8ULWi/qmpn0Ffr/U/eowaGplgx05hQK+Jz5rdlnePzp41H3l5+cjLKxL1/KvXUciS+yyqfIyTFRRlHwEvuH1P5Tb+C9fUJAIg2YduEgGQrEZYjSYAWibVJGD1Dh4JaJXzBw5F9+GQgJyR/dEy5w/eug1nLX9vElBXywSNG5lgb7Z6JKBocTOUxeti/x46IFm12hS6Df4F4KjXGqmp4tkA0r9OCucAvQo7A+wKdVep5rJwTBy1pAS9ZXju9DEeDk5QOVyMjF6fHbUHGwctxnzPyXC0cIVOvfc/f/9fXKdeSzhauOELrynYG7oKZ0fvUW86b+ph3BifjfLwyXjiaYs3lvWUx78yOAylqYdxMTUbc9JnKMt6aLr8UzLSsWWED+45NqIC//v2DbExyp/XFEzziRPT4OTohfr1Wvyjx6yhkQmyc7j35r4cM1xPNkDx7EZqA/9du00xfDidoKtDAArK+OU+90ov4enlkzj9sEIl+C+89/A/B/oSAZDsf8UkAiBZjbAaTwC0TFC3fks0+mE3tQ/g1LAOHBLw01g5TPbl89bVjxj/l/bBQN8Eq9e0Fc0GHFvTEq9cqmuMK4bUF5QW3LHTDAb6//xxUzcbwHh+YA8q8HvSXwcHB9tiDkU1SKFQ4POUMTgaYoXH1g0EicCb3rXw3PkTPBwUh1uJa9UmA4yXJB/A8ZGbsSdsFX4atOj/faaAAfvzPadgT+h3yI/fihIxjX4a6B+7E+WhGXjiaY/Xltr0hm2bJpiRNlmlhr9CocCauMHU8//QzhBbI7yopWGkZ2RkoNNHlv848K+rVU3Ms3O4RPvgzrbKRv03jjIULhPu0WHu5UWL2oqSclUEoOD2PR6gL3ur9c9IfRbffyAO/vNP/OdAXyIAkv2vmEQAJKsR9l/NARCqrVfV6CpU809Tv2Gv09LYA812/c4D9l22ZeNaSAsOCVgxcSBfRWhfAZrFzOUMCqPV0gs12zL/L1zQiQ4ocs14+uLPfOrg2JoW1PX3ZpvDtclw3vvTGkDJY0OrOxfqGwg1TkKAcQIGB8WqJAKTMjOwISpAsOb7pVUdFAR0x9LR0dTXT8lIx9qYEBR7daQOFmO7OlKi6mQKipOysW3oavwavgVLfb/CxI+n8iYTk3X4ZP05W3aVeUzW55MTjdnniLzm2e8fZJSIke0zscJpMfYOXIejEVtQnJQtPpBLxG8lrcPDQfF45toTb/rUET3GN52aY9dwN2opF/38Z3LO/QN7I2yL8FLr9ZmZmYiKGK2U9lT3+0JoPeb4046vo2EEFi7oxGv0PfpTK57M5zMfukoX4z99/7GyUZ99ftnnklEBOpFfPUCLXXd/suwhD9DfKLvO0fp/ebGATgAePkLR1VvUOQK0OQNifQFk466qOQGqGoElFSDJarJJBECyGmH/NgEQ+jEX+4HXhBCIbbOfcTyabT7CIwFWG7fgrr8xhwTMmxRJbyDO2opWhm4qG5XJJkMGFDgaRuDnTe3eRhC5YOLIz21QNZBLAl4518Lp+fRm4ewcc3Rqac8BjWxwT4IRWsMwDaSSQIZZp62RGwYFxSIzQxURyMTa2BDccG1BJQKwlOG6Wyv8OHKg4HvMmpCMbeFyXHVry1EQQm8ZXvZvglJKacvdqHnVxEDNJmLhbMFB/BqxBesGfI0/RmxF0cjdODZiK36P2oYdw3/A5qDvMbXXHPh0iFQ2H5PHnTZdl30dmBq4YXa3aVjm8xWORmzBr+FbcDB0E/YM+Qm/hG3GwaEbUBS3S+26fXX94eAEUdBfbmeMg4Ns8NW4OOp5mZyRjnUxITge1IvawLt5hC/uODXBpkg/tSL+mZmZCB+eCAfDaCpgJ8kqec+pMxCP/Vz7Jo7YvdOCdy8VLjPBC/fanHvvqb+W4JyO3H3m2LTJXLQ5n/mfVAEqzi/BlcJrvCFfRZVPcP32DQ74f3UhDxfK+RmCU1fv8oZ8kU28bLlRNvFQp6n3fQaACa2nqUkEQLIP3SQCIFmNsH+LAKgbyaet+1cJANtbGbrBJHI2THZza/0d165DhY8ehwRMnZFIJQGdw5aq/VloyyyMnbD8817IyeGDigO7TXEntgEHiMBBhuspBthH6SPIyTXHqJjuCGoYxwMiNABKA/vk8SVBFfl+9vrRiA5IRkaaitKgzEx8mxCK817tqSQgd6ijWpHlrNSx2BHmicvuZnjdpxb+CPwUS9Ln4XJq7jtwm3JIOYn2lbUhnnrY4OGgONyJXYTS8Tl/K4hm+9XxB3B+VA4ORW3C4ahN2DJkNQ6EbsKxiK0ojNmJIxFbcDhqE36P3YpT8XuwP3w9TsTvwrVk9WrzNfKUgyhLWI37w1Lx2McT90bM4q1TlrCGB/rvODTBoYE21QO4BLI8C8Yn4PDAfqiy1VOev6+TwinkL0OtGv+MtEwMCozlDPMSyuIJEQJNvidsdaLRvokjf1J3rhkuTWqIN8T99iBUG4cENP6zc8yx/POecDSMoN5jpC/IWqnMALCj7EUVjzmgvuTOLbxhgf/XF/Jw6e4deunPWS5AV1fPXxNQryq6zzw/RTETMpkMu7bvkzIAkv1PmEQAJKsR9m8NAhP6IWcD0r8D9Au9P7mtFtYjecDea/W3eOKlzSEBg1d8yS8F2n0MLZrIRUE/+ZjUarfViYazcRi2b+dnAnJzzXA504hHAh4Oq48jm+l9Ad+v7qCMRoqV9JDRaqF1aJkCJrLNLLPTjYbvRwnwcgqHl1M4ogKTBQHfl+PicSy4N/60rgtYyvDKqjZ1kvC8lNGCvQIKhQIzJ6ZgburYtwRDgTkZM5A7YT2KRi0T7h/oUwd/OnbEI19vPBg6Dndil+LG+L3/GCn4Vzx5P8oSVqM8TIGqwEF45tqTp8//yNdbuf7l1Fx8n7YUM9KmoNzOGJfdzbBnmCsWjE8QPdZbI7xwza01lcCd9PtELQKnUCgQ5Z+svE5iuo5FGwNXXraJXbZD3jvMckYalXyOdo0zy00NnTEqpjuyCcJ9cEdb3I3mk+3ScfoCZNsM27dbwNk4TPQ7iLx3yAxAUeEFnCBKf67eKeOA/zdig74ePtJocu9flfZUpfUvRACkDIBkNdUkAiBZjbB/kgCoW7eral2hkpX3IQjM+q0M3dBiG78nIGjlEjzzrAe4ybB2nA+a5+bRh4nl5sMkJos6K4AdxRSaRMp4XEQvUUUgZvAQ43/KayN/Bb0xcfvWdnA2DqNGUVURMBL402qZyfckH7cxcEVqsvh01xlpn2FnmAeODLSmPp8f0B2vrWrhotwCm0f4YubEVLUA5o+xA1T2DZBNxbdHLucB6xvj96I05e8tu/m7vDx8Mp54OeNPh3YcpR4hr7A3wYL0LCgyFJwm3skZwpOfp6dNwE/RgTjr/RFeWtURLOF6YG+E3aGuap2b8QkTEWCUwAHyYuBZk2uWBN3kd8XAFpHYta0dv+H++5Z46q/FubdeO8twNquxqNpPXPinan+PMfugnANQcP7tcC9u5P/K3dt4fSGPU/pz7fZNwabfU1fvUkt+NCnXEesRUDU9mMlg0AgA7TWamkQAJPvQTSIAktUI+y+agDUB6rQfVRJk0yLVYvXAzLLmkbOp4H7Iii+x8rMQqhoQz7PWKqcGCwFvsc8T1DAOi2f1FgQcv65vhcfB3MbENw4ynJ4n3BeQGeUAe71IalSSbFImQZdQTTW7cbW1nguvgZVxU2N3pE8QBphiPjV9Ip71q88Bmq+sauOCvB22RnhjzmfjRV8/LW0CVsUPw8FBtrjiboo/reqKAuQb43bxQPYjP3+86VMHL22a47lLNzzxckZVQAgeDozF/eETcG/ETNyJWYSy+FW4NWoDbozdidLkXGpPAi1qf2PcHtwc/TPKEr7H7ZFLcTdyLspDM/BwcCIqg4bisY8nnrn1xq1RG3ivrwwaoha5ed27Fsocm+FYUG/u3AUVvm+oA1701RIE/a+sauO078dYHT9UrTIfhUKBtFHpsNd/RyjZEXta6ZmqaD6znHwf8nlHwwhMzexCnehbsNwEr525Uf9nPnXwx2p6wz3jM2a2hamhM7X8SIzQrJm7Afn5RSgqr+SBeRr4v377hrDkZ3kFp/afDcRVRepVrfM+REKMAEgZAMlqqkkEQLIaYf/mJGB1gL3QY6H30GQbpLcydEPL1QdUg3wVbhKTJRixFJpaTJYoxEf0wu49dLWRA7tMcTtel5MFECoFYnzrpo7oaOKg8viySRMJ9IX6BIQ+p/K9jBOQGPaZ2vKhjK+KHyYIPmEpw5u3zcO5Qx1F69UZn5yRgSVjYrAtXI68gB645WSCl2+VbyptDPF5+ix8mT4HmyauxO8TNuNa6kE8dbdUO4tAZhTeWNbDY283alZBleIOry4/+kvOe1xLPYhLofQG3vu2DXHa+2NkD3XCtwnDqRr9HM/MpBKD7eFy6nG/4doCO8M8MGuCcIkX6RkZmfB2jYCdLv26ESMCQs+T2Slar4q9XiRGxfbglfuQ99OTgHfR//IIHRzaRq/3V/bZxPaAdn0Tzr6QhJl5zCsBmvst8s+e44H5sw8e8sD/jbJSYfD/sArFBe8AdlHeGZw6thV//LYSx3/fgKK8Mzw1H03LgpjXMA3EmmYAaOtrahIBkOxDN4kASFYj7J8kAOpEycRq/8XAvRB5YANuEuSSP962OtHobxgHk82/qgX0O+w6hKQFk6mThRmJUBpooZU+kBHP2KZJ0G1ggvXr+eUKTF9A8exGeOVSS1SbnAQua5Z9gvZNHHmRfFWlQEIEQewckcDNwTAa4cMSVaoGsX1eyihkD3PCLWcTUTIASxmqbPWwaOxIjUjG5Ix0LBoTi28ThlOAsQL3/o+96w6L4vqim4ixoShRd+mIsaAxiSXGgooViTVgj4oKIiKgqKACYkssYDf29rPGLipqqGrsShE7CKLYY09iF8/vD5x1ynuzsysGXN/5vvsps7Ozb968mTnnvnvvcy5vkADg7Em7FkTPv77HiRnQA7+FRWJuWCRmhE3FuPBxWDTMG5muDjjWpT529m+HZf79MTlE2WJtEaNHYpO3O5Lca+NhMzNsHfiTZJ/I0SPw5m3f3m3xJfb1aoa5I4bo1b9jw8Lh7RYEu7IuknuOlFciDjcTz1SJiTXp/ub2bWXeD1Hbdd8XXAjQ69afIWtcOcTH0ct8xsbmVdpqWsIbRU00ip9V/M/mb4xD8sV0Iqm/efOqMvL/6F8t+T+VdA5HDo9DQmIdQVsTEuviyOFxAiFAIuxKZwZon4v/zwmAfdGHmABg+CTABACDUaAgZgCUkHp9RYHc/rpe1E5mvlDvOS5L/ivvPYjkfl8DLipEThwkXScgMRX2hBKhfLJP8nby/1/URIPK5i2xdnVVKiGhLQ6WuNce+/aQVw+Oi3fAsMHfwd6sFVEIidtDIvv88B+aaGKzmwwAACAASURBVAjQkL26buZ+6OGmu3yo2OaO9ENc7xa43ppcTvRVwyKYFCbNOVg8bCDmjvTTOUNAsuX+/bHdsxMSezkjya0O0n+sghstLfDYqbR29kDOznf8FjPCpiAybDJmhE3F5LBJmBw6QWfIzr+NS+FO8wrIalsJpzp/gxV+Hnq3XWvh4ZgVNBRbBrrhRJd6xHUZ0jrXIn53x4D2WDDcR6++Cw8Px+gRYWhYq4s2uZckOElGmmUi3a/ie0g85mraNiN6/RNj7LE/muzd/3OH/CxazB8O6K5+1xa+ACCVySUJaCtzV8w6fJIqAPIW/bqik/yfSs1AWnI6zidl4s8D3WXb/eeBHjiVdE6W0OsSAbQ1BRSHAKWkI+3MZaSdvYJ/nr1C7ps3it8dTAAwFHYwAcBgFCjIECCax16OyNOm3mm/ISYbtONbVmgHzZ4TZAGQkII/vesLqgMtDP2ZKALUc7ZocwKUChTufIqa5IUYdCnni2GDaxPjl2l2bURpPO1sguTlFtR9dm7/SlvBRE4I8Ak/R/ppfUe7Znxyp/3X3A/+XUZhrJ5CYNy4cZgxKhC7+v+I9PZVtHHqmT86EPfNcbHWrkCc0e4r7O/VFOsH98CM4GEGiQI+sf41dAxmBA/D/EAfLAsYgNW+vfH7oG7YPNAN2zw7UYn75oFu2ODdFWsG98IK/35YOMwbs4MCMCUkWHE8vZwtHuaFhN7NcaFDNUGpTpr961TyvX83PDwc/fv4w6281GvP99iTZr74Y5BfXYo/hmgLpfGtW3kfzAz/gXivHFtnhX+6FcXdgSURL7MCN8n27K6M7mqhWOEEgPjZQhIBbmX80KiCHzS7j2PW0WRZASBrD/7BqdQMLbE+fniSovYfOTxeQN4544f46Kr1TxIIpP0FIUAp6Ui7eB1pV+8j7dpDrZ278Ri3Hz9TJASYAGAo7GACgMEo8F+WAeUTSX2TZUleNl3kWomo4G93MvOFevYWIrHvtnwBnrQTlghdP7ITLONPSkXAmlg4mfkSRY743PltFIcYOFo5y8Yyc5a6SC1ZMyBxL3k2IIYX0iBuH99IYUu0EA7SZ+Jj82cP3Mr6oXNNPwQOGoOxMhVpaDYpLARrfH8mhvFMCgvB6wafU4nvE6cSyG5rh+Nd6yG6nyv+59dXcaWhArXwcESOGo4V/h6YTGjvgZ5NdJJ+/KDC3eZf4njXeljv0122GpCchYeHI3DQGC3xJ5FhOa84SQwoIdZ8MWpv1gr+A79DbKx0jCfE5pXRzW357p7QVd2Hb5vW1EBl85bCMftWoMu1j2ubtZkLqnkt0z5HOAFw42YOzj+QrvxLtSu3BAm/p5LOITGRXjVMMPORWA/nkzIlSb5iEi8OFdK3ZKhAAEQnIC3zjoD4iy377r86RQATAAyFHUwAMBgFCnMVIJLJhQwoCRUSv9RJBKWa9zLiTECnVcvwd4dSAhGwx88ZdjFHpYnBe06gsfkQCTmWOx++AOD2b2XeD3sIK5fy7ZZfKUkt86c/mSB5GXk2IC7eASuWVtXmBpAEgFiokVazJQkEEsEjJUr6VMy7DrZl2qCjox+CfUIwNiw/POEDtXHsSm3DoG6S4/w2fDC2enXGqiF9MH/4YEwbM1Kvijr62PjwcEwdE4R5I3yx0q8vtgx0Q2yfVjjW9Xtc6FANt1tW1K6fgB9UWD2kt+QYGwZ1JZ7bXy3KI8m9NrYO/AkzRgUa3Mbw8HCMCQ6Df+u8+H7SSsekylC0McG/D0n78mcExGNtgJUPNm4k3xPH11rh7+5fSO6HBx7Fdc4CxMY5IMC7jjZUjp+/wxcApPwEro0dywdICgvMPpKE82fSgPSTeJF5CucePtJN/rNvSeL2Tx7brNcsxsljm4mkXs6zT8oZ0JUvoBUA8UdlyT9ntx8/k313MAHAUNjBBACDUaCwCQAxmZdLPqXNEMhtUyIUrM1coI46SBQBrdevw73OZQUi4KhnbVTdc0C6f0wSLCu0k63Jzz9fLgRI3MYWZgOwcVV1+ss+vhIuTslLEBYTn+uBpakx0HHxDpg/tpF2RVOSF1fOyy/eLvb208QOnzDxj2lbpg1+qNkVw/uPQViY4WR7csgorBrSGwk/O+Ni+6o6Q2LmD/eRHCO2TytiFaKnjYvjgXNZ3GylQXZbO2S0+wrnOjoirXMtpLh9hyT3OjjRpS5OdKmHE13q4qR7HSS7fYdTP32DAz2diO194lRCL8Gyx6Ot5BizggLwr1NJXGpXGft7NcXawT31qtpDI/1hIWHwbxOkLeUpJr7c4l3c33IJveLwMHGIEL/yFHdcPgGvbN4SE8d+TQz3SfzDHldCzJDbQjj+c1uokBVelriwF9+iNjgKkuVJM2D8+1N8D2hnEKMOCZ4BtrHH8OeWFcg69a7Sz5PLZyRrAYhLfZI88ylHV+slAE4cXaHYm680SZh0vMnjIvMEwOE0Lck/fe0hzufcJQqAczcey84CMAHAUNjBBACDUaCwCQAaUaeFDIkJpZJjkUIUxMdvbD4E6hhCeE9iKhpv3oZrXTQCEXCxlwPqRO2R7h+XBI1VJ0XnKyYY/PO2N2uFAO86siFBhzfb4GHf4hIR8KJ9EZyZU5HqAY2NdcC0wS3hbOpFDfkRb+OHY4iFgFgkkOK7STMM/OuYJwa6wKv/UL2Th0kWOXoE1vj+jNg+rXDqp29wo7WF1qtOSiQ+1rW+XqRcid1qpSa27b5zOb2Oc7xrPelxwsPfL7/hLeEfGzoWI7zGwLP9CNibtxWQcxKZ519nGtEnbSONcZLItDFtjcrmLREZ9gN17Kcs0UgW9UJzFf7u/gWOr7WSJclx8Q4YN9BZu24GaczyBbr4fLnPSdXEqu45gMNedZG1copWALy6lIyMe3dlyP9jbcy/eLVfQ2cAlCYBy5F9cVlQ4krAR94JgDvZmXidmYwrV68TRcA/z15R3x1MADAUdjABwGAUKCgBoK83X8kxdH2XFHsvdwzLCu2gpiQGfxf1By78XFkgAm65l0fL338nJhHbzoqGlbkrNdxGPANAI9+tzPth4wZKqVBuNmDql3jVRjobcL9/CRzZZE397p7dldFW01tCbmiefxKB55Mn0ndoAoNEELl/m5XyRoOvuyKw72iMCQ5DWFjYewuCcW9Db6ZTwmKS3Wsjt8Fn+SoA7jb/kvhb4ipHuT98hr+bmuJaGyuc7VgDh7o3RHT/H7F6SG/MCgrIt1Ck8PBwhIwKwyDPYeja0VtA+MXEX3zPkELxaCFApDAf8b6k0Lwu5XwR4P0tlfgf3G6L277S8LfclipkjSun0+vPlfiUewbxz4+UBKx9TuwSriped/tuXOzlALiotALgRWYqLt6/TyX/abcfCmL++aE5l1Ku4nxSpuIcgITEutocABLZF4sLpUKBNFMwcbxQAGRfvQ5cOqm1m1eyJQLg0dMX1HcHEwAMhR1MADAYBT60AFBK5vPDSJ5JpcKBJhaszF2pJUKr7jmAI561BSLg3/YlUDtqL7ma0O5jsKzQjkj++R5Gmmjh/nY29YL/wNqIk5kNOLTVBncHlpCQo1cun2H/bvlFj1Ysq6KtFiTXx2JSR5qNIVWBUSLASMKAM9sybdCxmh+Gdh+N0NDQfCHDZIEwFhGjR2DBcB+sGtIHm73dEd3/R8T3boGDPRrhRJd6SP3pW5ztVAMX21fFpXaVkeVaCdlt7bSW5VoJl36sjIvtq+JEl7rE31np1xerh/TGwsBBiBw13ODkXKU2duxY9OndX0v4+eE4pJwP8fgTC2nxd0ljhAvpoSXAc6KAO46jlTN27ZAhuLGV8KxTEcn4ftinGI5uoItcznZsq4IqFVoI2i8nWvkCnftOE1OfvHyheOGK4S7r1uKO25faZ0LWyinISEvBuQcysf+37lPLcPK3ndSzCpC+3n8Sydd1nImTIrQC4ELOX3iVmawl/7mZScjIuc1mABiMCkwAMBgFPsSD9OXrXNhU7Qebb3zy/i0jLYtJInhyZF1uP31Fhph00LzanFlWaAd1TBKR1NvGHsOOgNbal/1vYz3kVw3ecwJW5q4SAcB5GPltoSUpc//vrvbWORtwel5FPO/wjihlh5ZVRCDi4h0wb9ZXcHVqBHuzVgLPLb/PdMV5k66fT8UA2TAQudkA/kxD0xLeKPaFJeo7uiOgXTBGBI42qMSosVv42HAEDgtGD3cf/FCzC9zK+gnEJj+8x8a0tST+nnb/iMcnaQzoEo3izx2tnLFzexVFJXAvTvtSO65fun6OCxHldSb6xsU7YNrgFoIxrdRJwJ8BaGw+RBLvr05MheeCCEm1sOMbFiHlonQlYK3dvi/w/MuJgFNJ53DwQC/Zczx4oJdkVWBdIkBXoi/pWBeSr+TV+k+/gbRrD3Hm2gM8zUoTeP9zrlyVkP+zNx6xHACGjxpMADAYBfLzQfrydS7mxGeg7qRY2I2K1pqt30bYOIdKhIC+HnoSERZv/1AzDnLhQJqEZMwL74dd/i2gSUiWFQDqxFSoow4JRIBYAIj7QK4/7M1aYZyXsyxh2rfHHldHlcHTzibk8qA6SNPePQ4Y69kCXcr5Eom92HMsd03kyCLJ28xVC6J9LiayzUp5o1N1P3Ro3R+BfccgMCDYoFKjH7OFhY1F4NBgDHQbiU6OfmhWiu7NFlfjIYV7iZN1SWNUnOch/o5Y7IrHcTVNc2xcXY0+jkljNK4SHvf8AjcDTHUu6hUX74Dfl9cSLOxFG1ekZw13f7qV8YPGqhPUcaL7PCEFUycNFhB/uKiwdVhbzDl8gr4OwMN/qGE/NOKdtxLweCQm1hOcY2JiPRw/PEnRImA0AUArAyrY9rbW/+mrDwTE/uHliwLyf+9yOjH+/9r9J7LvESYAGAo7mABgMArk14P05etc9FtxHHajomHPI/92o6JhG7wr79/u89Ck1CCq541UMpBGgt+H6Mt52fn7iBMBrcxdYbVmH5XYW8STZwmIC4atiUHncv4CMsWfASCdH42EcQRqzx55j2niH+S1AbLGlcMdn5Ky+QHxCQ7YtOHdQmKkayUmkLR+5RupIhCNcPKJJl80yYWtuJXxywsZqu6Hnu4+CPIZg8BBYzB6ZFi+JBcXJMkf6h+EYf7BGD54DEb2GYMudQLQp8YwuJUVVtYR31/cWBNfH9IsGP86k2bLbExba0WarnuTdF0HWPlg9ZKaVOJ/cLstbgwzxfXhpfUa03yLjXPAz5X7KnqO0Mauh3kAihazygv5IdzPzTZuxktXEwH5nzFhIDQJyfSFwB79o13hl+T51+WFP5V0DiePbUbK0dU4dSxKb68/absu8XEh+Qqx1v/NK9kC8v8k6zTOXHsg2e/09Ud4ncvWAWD4uMEEAINRIL8epHPiMwSkn2Y2zqF6EX9Dyb6uWQQ5kUEiP9zf1mYuqO61VBL3S7Pvt0XjlIcjMTnYwnOq4LdJOQDidsidV2Xzllg2S78VhP+MssXrtwnDuS1UuD68NA5up3tT4+IdMCM0r3QoTSyRvMikayouISneX1wikv8Z93vitRP4pSRJMwb89nGVhga6BWH4oDEY4xuKYV5jMGTQCISMDkN4PqzQ+z4WHh6OUYGh6NPDF107eWNQm5EY1DoIHavliRpaRSZdM2RisSnuf9L1kJsZIFWCot3HXFsrm7fE9FDyCr7xCQ7YH22HKyFm2tK2b1qocPR33bH94rE6d1Y1yVgVnwNpnIr/dTLzRfnVu2Tv9aAZIYCLCs9/LArfeb9otxMFwNtqP/rE5hsa0y9XwpO2jfqdi9KqPpev3sAbHvl/mZlCLQGqaw0AgAkAhsIPJgAYjAL58SB9+TpXEvZjF7wLI32G4uuRG4WzAUE7YfNlB70JPv9lrYvUkz6T86wbIioaVfCDOpbi8X9rlf44grO9qwAuKjxtVwxD5k4S7rPnBBw9F8Oy0WBYm7lQBQCNyNL2c7Ryxt69ykjStZFlJImUr1t/hiujzXBgJz1ZODbOAfPGNkJl85ayXn6SyOLHmou3iwUATUxwRF8cAkQSTCSiR2oXtx93bOfS3nBt1hfD+4/BMP8gDAsIwkj/EAzzD8JwnzEY6T0G/h6j4dk3AJ59A+DfbzSC/ULg5zsSI3zHINBnDEYEjsKoEaEIGR6GYf5BCPIJwWDv4fAdNAKBg8bAq68//PoG5/2G1xgM7D8UPd190KfWMNiWaSM4Xz6BFveduM9JIVnifBMS0RUfg7+dVPlHLP5oY5RLXnd1aoSls75FDGEFXy5cLWtcObxqK61i9Zd3ScXkf8fWqmhToS/1HhKLT+6ak/q0sfkQaiEAsc2YMBA/rvmfYJtEANz7WxLzT0u8JYXm6PLSGyoodO6bmiEh9Bdz/sJrftLvpZPIvHrT4FWAASYAGAo/mABgMArkx4P0SOY9AcmvErQdG/q1BtxUSOxdF5WCdwhFwPDtcCrto5Pci0tRKiH8NOJM8ka+jxiwMZVfK0CdmIoJU4ZJYoKXj+kOm1gCmYg+itL9hsPaTJgnQQtRop0nt39l85ZYNbuuztmAAzvtkBNUBrktVVIh0OYzZIfoEgKVMCuiOrqrpXHmYvJNIpi0ZGDxOZFILufJpokkUmUX2ngg9TGJDIuFCT+hWbwPn1Tyibzc+BSfH/9YtD4g/ZacSPCpGCCZOQnQvNtXPIsi58knefy5RHHuOFUqtMCiiDpU0s8R/8wJ5fDS9XPJOHzTXIWb/qY4tNVGkdd/nLezdjVfmkBR+lz50XKYROhrEpLJ5X4pJhAA9x5p6/zTiP7l1Ku4nCpfiUcsDPRZuVef/QTtyBZ69c/m3MezzFOC0J/rV64QF/66/fiZIvIPMAHAUPjBBACDUSA/HqR7z9wUEPzlAzoCbiqtLR/QURoK5LOOWB0ovwi6HJET70ciiqRwCnFNdBvTt8nBu48RX/wW8UmYNd5TIgKS+tUiLxqWmAp1xHqtCFAiWkjnxd/WXe2NVTPryS4gFp+Qt4jYLT9pTXVOCFwdbYY/o+RDgzZvdkD75g20iyqJSRafWPLDV8TeV5LnmXR9bExbS9ZOkCP64lrz4hAa2vjhjPMak8aHmGTTxh1pjPHbwg+rkRME4uRosTdbbnxwMyfic6F9R3yutGRe8f3haOWMrRuryorQ/dF2yAovSyT+aK7C3YElcGy9/GJe3PhburiqdjVf8X1KundooXVuZfzgZOaLmmEbJKF+1XbvR4xvUzz/sShc1q3VSwCcyf5LkvCbXx59TgAo8fgrFQSCbSlS73/G1duCkp/3skX7pN/A+dPXFBN/DkwAMBR2MAHAYBT4EDMAtUesQ043tUAEhAzylYgA2+7ziJWBaC9mmigQkyQagdNF8Gif0cohcuZk5gv7WdHkZN/EVPRbNAN/dyglEAH3O5mh95I5xP0tB0yRFUA0YSAnGAZY+WDjBt2hE8fWW+GvQSWJZCy3lSqv1KKOY8TEOmBFZF0tGSORXznvN2nmh0+SSQJAfAwx0SZ9V25mQcl447z/YsHCJ+fiKjvi8xQTcJoY4QtQ2hgXt5c/cyD+jaImGsm4JpF8cbtIoob//27lfeDdpzaiox10zj6lzVcTF6xDcxUe9CuOk/+zVET8Z0ZU1441GsGnXVfxtbM2c8lL9BVX+UlMRdu1a5DT1UJ7D1/rqoFjdKJuAXDwOJKTT+mssCO38i4pRIi0uJc+YT3i36BaSgbSrtwjhvVczPkLzzJP4Z+sszgt/vzCNaQlp+v9PmECgKGwgwkABqNAfuUAfD3uDwG5bz3sN/zdpYRWALxy+xx9/SZIREDVwZtgU9aVSt71Ieo0Iqyv8UmjHKkQe0I1Vp2oIUENt0Th/M9fSWYDFob1hnUcr7xoQgrUWw6giamPzvPV53xsTFvD3qwVxns3U5QkfHwtWQicWKWblPHJWdR2B4R7N0ebRo3Rr8I7wksTBqTQHbEQ4BNwcRUgEtETk2Yx8eV7zTnvupici/ueI/m0GHvSmKQRd1KlHvG1o7WDNDbEv0kiu0VNNII4eFK7xW0kCTTu7yoVWmDN4pqyi9OJ7dAWG+S2EBF/j+JIWm6h6PvRO6ugTYW+RNHIP2fajIW4r9qrhxJr+2sSkjFuaqCkys8N94pw3rBRXgCsicWqmVuQnHSK6rU3ZEaAT95pwuJ9Zhq0+6RkIO3qfSL554cCnc0h7HP2ChMADEYJJgAYjAL59SAduemUhNx7+I3Ha7fPtSLgH/cScB02VzoT4P9OBCgh+krJMG1WQE5gKBEQcmTCytyVSCK4pOANIzpIRECqRw002BIl2NeqwSCJ8JDzRtPOj7R/lQotsGLpV4qEwLF1VrjtWwpvmqvwoG9xcvjQJmskxMivJRCf4IBd0Q4Y4llHu56AHOmkeb3FoTF8Tzaf2JPCa8Sf8/eRI9u0EB0x6Sd5xkmef7HgEQsIcRiQmIiTym6SZjjkSDwnnMRt477L/w1+joF4f3uzVgj0/VZ+LMVVwpGN5Ao+XNjZPc8SSFqpjPjHxTtggndTOJt6UcUfSQSQ+pMzC00Hote/5q54xA9uLLlnEwc1RI3oBFnybz8nGp3L+WNO5AokJ+meASD9rXTGQFEYj8x26kxAlrTkp2I7c5kJAAajBBMADEaB/HqQPnnxCg6jpWU/QwcNFoQC3epqjobDV0hzAnot0It06yLxSo8l523WJQZonzmZ+UK9JoZKDIbOHi9ZLTSnqwWseDMBVq0DFZ+XkhkT0nlW0zTHxjWOioTAkU3WOLaOEIsdXwn/uhfFi/ZFcDmsLA5uk1+QKT7BAdOn1dQmacqFadBINJ/syoUAcfkFJAHFfU7rS/5xxDMEfJLO3xagCUCQlb8k10B8HrTvk4ScWATxryMp8ZfUByRiLE4CpgkX8T3Ab3N3tTd2bq9Cvc4Hdtrh0kRzPO1sgpc/fk6s2X94sw2Or9Ud488R/+2bqqCHpZe2L/jhVqSxInffc39bVmgHdZy0olfPpfPw10/mgvv0ddvPMfmXIboX/JuxUZvLsyxiI1KTThOJOGkWQCwAaAt2KfLgU7brmjXQfp9H6DOv3sLVKznKyP/Vd6sb6wsmABgKO5gAYDAK5OeDdNreC8Ta/0sGdBaEAvn4jpbOAgTvQmOzwbIvbl2E2FDCLiY/+n6X9Jm1mQssPKdSZwOabNoiCAnqt2iGQTMAhpjYk9umQl9sXF1Dr/UDOEtZohFWbGmRV67x1EI1EuLoswKh/VrJknuxB5dEVPkCwMaUHD8vFgH8f8UzAuL2iL3GSkN1xNtJMw20sSsm+uJzIXnsabMKtORqtzJ+xJKzJKJP+7xbeR/sif6KKAiTl1ng9pBSkspS56frzh+hEf9VC2qgmqa5oA3iKkdK7l9x/1mbucAy6qjQcx9zBMvHdJd4/a93UaPjquXyxD8+GY5eywTVvJZFbERy0ilqyI6Y1F9OvaqY6Cv5XLauv5xduMaL9b+jTfi9lX1ZtwC4eF17HH3BBABDYQcTAAxGgfx8kL58nYua4X9IyL198E5E922Mf92Lw8NvPHWRsKrdl8mSKbmXO4kAkDzjtPAIQ0i0kv2szVxQt8EEqHcdkSQJ28UcxfIx3bE62E2SA8AnEDQBpIvs6EuOqmmaY+tW/cjZ9eGliUmcaK7C8w5FkB1qJgn/iIt3wI4t1eBs6gUP8wDYm7VCm0aN4edZB5GjG8HPqw48GrhLqgmJCa2N6buVgGnXlSQuSIRbTKjFY4b0Oa1v+e0hCRD+McXbSbMG4rbItYEkBEjH4wsn0nk4m3qhbwN3jPVsjhkRNfDruK/h2aseKpu3hId5AObOqiG4poe22iBzfDk8/cmEOh7uDiyhN/GfFP41+mt8Zc+Tdt1JMxiciGpi6oOWjX6BesJKwT3ZaPN2XOppJyH/u/xboNru/XTin5CCr8I2wMnMV9KGNdM3IzXptOIwH9Lf77vCryH7nk2/jbRrD3E+5y5eZKYKyn1evnqDTv6z7giqHekLJgAYCjuYAGAwCuT3g/TuP8/I5D5oG9oM+012lWDb4F2o5TyDWh5UjuQrJbmGmL6EmkTyLD2nUsmDOJzge89laFrCG4EONVHDzJlIbAw9T9rn3HZnUy/4edbB7t0Kidpbj+8dn5KShE6+Pfq5GC5O/RJ/7ngXItS3gTuGeNYhe5IT8qoJrZpdB22dGknEANdmLgdAfG60cBZSH/I/54sMjmyTFokSi4IgK38BOSf9lpywkPPsyyUak0iueBaDtA+p31qYDcDAn+ti5fIq1Jr9cXEOeatNxzlg/247nJteHg/6FadedzRX4d6AEji1QH5GiG+xcQ6YGdYA3cr7SK43qQ/F15t0jbhtHcsHQBOyBJrdJ4j3YuW9B3Gtq0ZL/P9tXwKBs8ZSK3ypE1Ohjk2ChaYD9d7iQoBI4T/6LvDF7S9eJ0BJErDeYUQXruFszn08zUoTkP97l9Pp5P/SLckiZ/qCCQCGwg4mABiMAh/iQTp1DzkUSKnZeq+BTVlX4gtfjtAqIcZKPLjvKx5I+zcx9YEmYr3OkoHqiPUYYRuAIMu2gIsK95xLwcPmO+1xrM1cYNVgEKxaB8KqwSDJwmG6zk3pbIm9WSt4NHLDvFnVESuzgBPfDm63Rda4cnjaie4FftDvXSLx6sXfKPYGx8Q6YN3yrzGqVx5R5c6DnwPAnQO/ug3p+pNKY+ry8Is98NzCWeKwHhrxJyUd08ammPiLw5DEooA0tmmigvu7eDENRjXvjshRjTF1Yk1s01Gvn2Q3A0yp1/lF+yK4EmKGw5t1L97F9/hPDP1au7o0qV9JC6Lx+4d27ZuY+qD24OVQx8sQ+bfmtnIx4KLCyf618MPWHfL7Rx1EY/MhxDHDtYsLAdJFznXF5itNIFZU2pNmKelIO3MZ587eQMbZ6/g364yA/D++fF5a7pMQ988/H33BBABDYQcTAAxGgQ/xIH35OheWA5cqIvs/BURiplcv2AXvEmy3QCrImwAAIABJREFU9FqKol9YoaiJxnismBVKewxHhejDEiJRIfowSnsEomgxK1QoXhHXm30uCEFY910J2PXxQYUtwrrjFbYkaL/3odpdqqQGo0fbIC5emQc3Pq4SUpZocHtIKbxuJazzTlpHIPEPe8HMgG6iWAnbtttj0WI7TJ9hi+49rFGqZCG4voXYihfT4If6lggOtsGy5XaIiVV4LRPyFuvat1uawJu6SJj/kfs2/yNtvhoJehw/Lr4SFi2yQ5nSH+j8y36FCrukuTiV/jhCrePfdflCWMbTV/muGJeE0v1HKLrvpk2dhaSkZCQlnSrElobUjGvakp+nrz3A46xzAvL/b9YZnLn2gOr9T7mQTTy2vmACgKGwgwkABqPAh3qQFi1uA2v/32XJf2+/iXjiXgxwU2HawL6Sz8s5eRU4cfogVswKJeq1Rem+gSjdNxAl6rkIiIRNyQqIrfeFJA75Xuey8J0zURCOUPHtSqXmCzeiRL22H1QIlCmtweLFdsqFwFvyeD6yPB70LY7cVirs35X3/di4StrjnP6tIt40V+FR72K4NKFc3sqvevwGRyJ37HwnCnp0/3RFQfFiGtSrZwkPD2uMGm2DVavtEKsw/CY+IS+s6/Ama6T/ao4H/Yojt4UK6ZO/lOyXEFsJL378HI97foH0yeZ6i7jNW+zQs+cHvE7FrFDaMwgVCV7/7svm40o3K0T7t9A9KycW6zsPomjpSorb8aEEwLGTqVhxLBVzjub9e+xkqkHHSbmQjbScd8T+9LWHeHj5goD8P81KI9f6v/YQPoGjoFKpsHXrDri6/ohSpUxRtmw5eHoOxMmTqcjJyUHHjh1RunRpqNVqTJ8+XfbdwQQAQ2EHEwAMRoEP9SBtWsIbNmVdYTtoDZH81wjahAddSgtKhIYPGiTYp1LANtiUcZFMr+tK+HxfUxJ6RAu3obVJ13FUqiJ55F8bOtAKIx1q4FFLE4kQOOBdHw1F6wZobcsB1Oi/GNZmLpLfFreBFjKiyyqbt8QgjzqIitK92ivfDuyyI26/5ScNJXnWsQhuDCuN03MrUr+nJKRk59aqmD+lLubNdsSSGXUR3Cuv/eJqQ/wcAPE4I407UuIxv/9oVXRIv0ELC6LlD3D/71LOF65OjTB+zDeYO8sRsyIcsX5ZLcTE6N9X+/bY49QCNa6NLIMnhETeBx7kNSD0vTZx8Q5Yu9oB1TTNJf2p71glrQHA/f9Hy2HQ7DwmuT9q7YzFtmEugvtpwMJIxeT/y9U7YGXuSr1vSNeNCwGilfikVQWi/Z2cdBFjDl9A9X3CtjnuO4Wgw2eRnHRRZ6hP3iJf6UjLlNb5v385XUD+n2eewvmcu2TPf85DDB4yAiqVCtWqOcLVpT3CR09CM6cWUKlUGDl8DKpVq4bBgwdjwYIFaNy4MVQqFQ4cOEB9dzABwFDYwQQAg1HgQz1ItS/vMi6w6bWAKAJ6+P+K5+5FBSIgyCdAuD5A1X56E1RdhF1pBR8lx8pP8cEJAP6xOpv3we5BTSQi4PmPRTFjvBfsY46IyhC+9XYu2QXLRoPRxNRHZ9uUtp1UzaZNhb5Yt6aKXkJg67Jv33mR4yrhpevnskmkb5qr8HePL3BltBlOLVRjf7RhgoBPQnftcsC2tY5Ys6QmVi34Br+O/xpeverB1/pdxRlSjLkuccgRfFpuAG0s0xausjdrhaFNu2HcmG8wd6YjZkY44pexNbF+rX59LiH8e+2RskSD7NCyeNS7mGwCN1fe9X36PTbOAbMiHdHKvJ9OcUPqM1olJsG9Us4fzk0nQz1niyRp1zL+JEIigvC4gymhwk9L3eQ/IQWlPYO1OTc0RwTpXPgCQGmCLo20n0nKRoc/02Tb2unPPBGgM5fg4nUJob+bnSEg/y8zU3Eh5693Mf4XruUl+mbcQtqZbKSlpMPH2w8qlQrubt21x085cR5qtQafffYZpk6dqn0vPHz4ECVKlICHhwf13cEEAENhBxMADEaBDykAtC/GMi6w7T6PKAIGDBmLl25FtAIg1+0zDB08Qvt5va/HUZMrDTWlNfVp+ygh/4a0kRMAfLNqMAjqxFT0XzgdN90rSMhLTlcL9F4ym04IthyApedUAXFRes40jzYpCbWVeT/MiqyO2Dg6Cdy9qzKGDKgLjwbugu0Ht9viQkR53B1YAq9bfyZLRNFchaujyryXANApDrZXxf9mf4v/LaiFVbPrYFFEXSwb1xjTQxpiesgPmBXhiHmzHTErsgamh9bHoog6WDKzDhaFNoFHIzc4m3qhSzlf+DXsCe8WndG3gTs8GrjDrU0DePWqh6HetTEjogZmj6uP0JG1MDG0JtYsqYXfl9bCwog6mB7SANNDGmL+HEfFCdj6WsYv5jr7ObelCvf7FUf6ZHMc2kJP5qUJkbh4B6xf9xXaNW0IZ1MvSbIyqTypmESTkp3FY9jK3BXq0KVQx5Ar+3RctRxne1eR3DuPO5giaEaI7kW9dh2BhaYDippIS6eKnQkk5wI/CVjp4ly0GYGgw2cVzVQEHz5LTTTOS/bN0Mb7c3Yu556g3OerzBSk54hmCM5clrSREwDrVm8WnFNz51ZQqVS4e/eu4N3w3XffoUmTJtR3BxMADIUdTAAwGAU+aAgQ/4VexgU2zqGwFSX72o2Khq/vKLx2+1wrAl67fQ4/3yDYjYpG/a/GGEyqDfF8y5H+9xEESvYjzQBYtQ7UvtQr7z2IJSE98bqtMEF44pShdDLwdkZAM229ICyIRvKVhCyJa9HzvZ3Opl5o69QIv4U4Yd4sRyyMqAt/r9ro28Ad9mZ5i385m3ph55ZqROKY+Ic9UhdrkBNcBv+6FyUS07TfKkq+d2K1Je4NKIHsUDOcnlcRhzdZI16fuPd8tNg4B4PCcPLF4ivh0FYbnFqgxuWxZXF3YAmcWqgm9hepb592MsH1wNJI+60iMfGXT+5j4xywdEZtiejLC/OpCk9bejgPf9zwvfvixb3EJJu/GFoTUx9oBkVCHU8m8HWi9kjCfTjbNswFtXbGypJoi+jj0HhFaO+boiYa2VAt2r0zJ3KFpAoQVwKUVgmIJBKSky5Kwn5IpklMRfV9qTiTlC39vZR0nL94G2lXycm8F3Lu4nnmKbzOTEbG1dvSfc5K28oJgMTYw4L2dmz/E4oVKyZ5NzRr1gxff/019d3BBABDYQcTAAxGgQ8eAiTy6Nm0GEucCQgcHIhct88EKwb7eg6lrglgKOk3VBjkx/F1fVc8A9C0hLd2BoBvLX//HSf71wJcVMjsYQub2OOKvIJVRq+XlA/VFc5CEj7i+Gu5hato5C+0fytFhPbgNlucm1EBN/1N8axjEaC5iphsmv6r1KP9us1nePRzMdwYaoqMX8xxaqEahzdZ61WhptBaXCUc2mKDlCUapE/+EteHl8bDPsXwqq10BuXqaDPJ9xNiK+F1m8/wot3nuO1bChciyueJJj2Sr5fMqAsb07yyrAN6fo8Jg5tjQM/v0V/jqzMunha/Twr94YtT7jMrc1dYr9lHHOeV/jiMGRMG4mm7YhLin9HTHu4rFsneJ5XHbUK9+uMleTT8+1Mf5wEnAGghQEpX511//JLiXAV1YirWH78kKfF5NosSy8+z8zl3cenqLfLnZy5LZhM4AbA//qjgs87t3VGiREnJu6FZs2aoWbMm9d3BBABDYQcTAAxGgf9CAAisjAsqe28gioAgnwBBPsCrnz6Db+VaeguA9w0Ryg+jkWddAkC8v7WZC9Rb/5TUL9ckJCNgzgR0Xb6Q+PLvvmy+MD9AvJARLzRIl2CRCwXS5//8Gu7Opl6YPq2m3t7tg9vIlWZu+ZXSGdLCL1d5z5O8Ku2hrTbYt5fu+f6vLPEP+7wa+gRCfmOoKXJbKjtXNFfhQV9yAu/BbbZ6V1vibOvWryT1+sVikC8QSSE/JJHAHzNczgl/m5W5Kyx+ngj1DmlZT85q7orHPx1KCoj/Px1KYsKUYbCOI4cJaW11DPWe4O5PXeSfNAOQmnRa0Yq/cjH784+d00sAzD92TjADQIr518tEdf65tpEEADcDwAQAgzGCCQAGo8B/LgBMW8OptA9svcnVgUYNGiIQAa9/UmHIV1//J6RdLjnYUK++PmKBNANgYyq/ijDJGm3ejldti+CGe0UMmxVOrmfOhQYt2YW6DSYIFhSjefHlCJv4M/Eqs+LVdG1M80KBpnu75Eu4zPnp5XFncEk87UxfhIxvdweSBcArlzwP+qs2n+HpTyZ49HMx3PUqgZv+psgJKoPLYWVxaaI5Lk79EudmVMCZuRWRNl+N1EUapCzRIHmpBsnLLIgx8/uj7XBuZgVcnPYlMiaZ4/LYssgJLoObAaa4O7AkHvUuhiduJto2oLmKGIZzfXhpRef4rGMR/OVdEhm/mOebMImLd8DcmTXQrbwPkaCLQ2JIcfwkbz8pnp77zK2MH3paBUKzZJeihbzUiamY/MsQLfn/fURHneE+6sRUWK9OhJW5q2Ds8o0v0GmEnxRGxw8B0uXtl0sUXn38vF7PgdXHz2s9/yTyfyc7E7eys5QLgIvXJW27lHIVQ7yHCgQA114mABiMFUwAMBgFCkIA2Ji2hk0ZF9RqFgnbgM3CVYD9NmJ0m7ZaAfC00+foalPXIFKuJJ5dFzFXKhTyY+aBlARsY5o3C6CZtl5A3OVst19zSdiD14II+WRHUbKw0nOW25dE9EjlHluYDcCE0K/zLeF1/247JK2wwMWpX+LaiNJ42Lc4XvworDSUEyxNJN63x16xV12XXQ4rKzn+0d+t9T7OkY3WkuNkTBKGO71s+zke9S6GG8NKI/1XcyQv1eDAzverlCQm/VFbqmJU77wSqnJjgD8TQBMFclWVOKHIbbcyd4U6bJl0Buutua1cTFzMyy7mKLYPbYM269bqJsvxKVB7RxLHvlwIEEkAi/91K+MnCAEixf3LJf3y7UxStqIcAHUiLweAUurzr+xL2mTfW9mXdZP/zDtE739acjr8vYdpBQD/HDu3d0dJJgAYjBBMADAYBT60AJCLLeeEgE3VfrD5xifv37cx/8HVHPG8kwl62dbRSeILMuQnP9tFEwCcCKjZbxHUWw7IvvjtY44gqV8tYuLj6T7V0GfxLDKZEiUL086DRHxIJiaEciESPhXzQoPszVrl1bUPrYXNax0Rk88VcA7sssPJ/1ni7KwKOLHKUvL5kY36E3SaZYdKBcDhzTZ6Hyd5qYYoJM5NL4+kFRZ5+RAGhvHIWUysA/63oioG9q4rCPXhX0N+SBdtTQnauLAxbS2ZJeIIs0/FAFibuaD6wGVQx5FFa4fVK3Bw4PeAiwoLwvro5RnXWkIK1EujYVmhnaQNJKFKStKn3Rf8z5ZFbBSEACmN+SfZmMMXFJ2btgoQwfN/T1Tq83Vmkmyd/7SL15GWkk5tv3gGgB8CxAQAgzGCCQAGo8B/JQCUkGHxPnXNmwqIwvsS9fcVCoacgz77kgSAeB9rMxdYNhqcFw5BmxFISIHngghc6mlHFAKnPBzpQiAxFZYDpsi2QW7mRUkYlZgs8okk/9j2Zq3Qr5Eb5s6olu9igGSJMfY4vsYSpxaqcT6yPDInlMPVUe9CdB72KYZ/uhXF084meNHuc7xu/RneUOrnkwTAwe22eN36M7z88XM87WSCf7oVxcM+vBCj4DLIGlcOFyLKI22+GidWWWLfnv8mHyEmpjKWzqoNP886aNOosbZik/jeocXzk0JfSEm9JAHAN8sK7aAeuQDq3eTE9o6rlmO/9w+C8fzsxy/wXdQf+pH/uCQ01Pjr9byQE+hyAoBWBcgQMXAmKRud/pQvBdrxz7S8xcBSMwRk/vS1h3hw+aKI/Ccjk5Twm/MAaRk388qFKghXkstf0BdMADAUdjABwGAUKLAQID2Is/izVpoGsCnTBjbVB8DGOQQ2zqGwqdZf74pBhtqHmnGQEwBEITBgiuyMgGX8SQTOGotrXTREIXCmT1UMnD8NFvFJwpmALQdgZe6Klo1+QbM2kdqKKGKyIxf2IC7dKNeHujzGTUvkJQ33beAOP886GB9SC6tm1kX0zsqI+wDeb70svhISYishca899u+2w/5ddjiwyw6JhSCRWM67P3+BHYZ614bv23UZBltIS22KFycTX0850qsrPE8sFDVWnWAVdZQsShNS0HX5Qhz2qkscx/c7maHb8gXKyX/UIVhWaCfrWOCHMonvT133v1gwcTMAJPIstwowzeOenHQRwYfPwnHfKUnYz5jDF96R/xw++X+AR5fPC8j/q8xkcrWfnAey4UpcSVG5tQv4pi+YAGAo7GACgMEoUFgFAOklG2Tlj96V6uDFT59jdV8XVAreIcgfsA/cDpvmYWhSahCVQCslKh+S+NPaQEoClmtv0xLeimYEbGKPY0zkKNxyLy8hT6/aFkHd7bsl37HYcVTwtyb6ODQhS+Bk5ksM3eATJlKbSSEV/HMUJwmLj+NWxk8SH25j2hqlSmrg2asepkz4Gps2OPwnMwUfk8XEOGDtmq+wZnZdRI5piH6N3GBv1kpQ0YZ0zbj+Jgk1OXIvF/LDJ/5NTH1g2Wgw1N6RUG/ZTyT+FvFJ8FwQgVSPGkTi/6ijKSIm+uCrvX8qI/5/nER1r6WC1bHF5ycWBfyxrmsGgHQ8G1PyDIASMUDzrnN/n0nKxurj5zH/2DmsPn4+j/hzCb888n/m2n38nXVWtMJvCjJyCHX+uXh/3m8p8fTLmb5gAoChsIMJAAajwH8pAJR4zuQ++8mmPp66faFNEN7V1wlVgrZLKgnZdp9HnA2Qi0PPT4JviCDQRTB0GXVGgEes7GKOIiQiSLCi8Kbh7ejx0ZTQCfWczXD0XKytHsQnkmKiJyb6NLJJCjNRQrLEfeZs6oVRTXvA36s2Fk6th9kT6+H3/9UwemEQG+eAHdsqY9LYrzE+pBbC+rdE3wbughV4+X3L92bT1nEgeev5IVv860a7d8R1/Nurh8I+IgrqGEJlKp4FzQjB5e42ROL/sGNpREz0QZU9yoi/ZvsRaJoOQRNTH2L7SONRfG/y+0w8tmn9JicALiRfoYYBiT3qSkh33iJfGUi7ck+yuu+TrNMC8v8iMxUXc/6iJ/ym0sN+5IQKTSToCyYAGAo7mABgMAoUlhkAJdaplQcedSklKBN66OdvUHPkJokIsGkWYjAZlyOe+s4g6DPzoI8AoMXaNzH1Qb3642HVOhAWYxYTCZFN7HEEzQhBdndrNN24RfJ5pT8OY0lITzht2qqbXMWchDp0KZzMfImeflJ/yNWD5xupHKP4OOLSjPzZBP7+9mat4NHAHVO8W2NWZA1sXFoL69Z8hV1bqnxU4iAm1gGbltXCnBmOWLakGubOcITXz3XRwmwAsX9tTFsLVtfljzV+v/L7mlaOk3QN5YQd/5o1Nh8Cm6VxdGEpsj1+zhLif/encvjlVz9U3ntQmcd/7wk4ei5B53L+xMpEpPOTC2sS95l4H9o9uSxio0AA6Kr3r2sbyS6lXMXpK/dFq/r+hWeZpwTk/3nmKVygJfxee4i0rDvUNpCIP39FY5YDwPCpgAkABqPARyMAyrjA1n8jWg+dh9tdzQUi4GxPB9QbsfrdDEDwLtj6bVSUE2DITADJM6rP8WmmSwCQFlkSb+eTE13lQ4llQRNSEBIZrCVd+wY1QN/FM4V5AiSLT4bd7GjUaTRR4GkVk0sSeeTOgUb05UQUSQDwf5N0XPE2e7NW6NvAHdO9XfBbaGMsiqiLJTO/xeIFVTFvdnUsiqiL+WMb47fQxpgQWhOzIhwxb7YjFkXUxS/hjojaXhlx8foR+b17HbBuWU3MHuWEmaENsGZJLSxfWg2zIqpjekgDTB/TCFO8W2Nib1eEDWiB0P4t4dKoMfpVkI4BuRkYjviKw7aKmmiI1W5oBJ5/fNK4Ex+jczl/WDj54quQDVCvj6cT/4QU4joVHVct147Bq90sMSZylHBhOzlbFwcLJ19qSVt973l+n9HGqNxxxAKARuz5sfXc3/zP5GYLSNV+Hoti/p9knca5nHt08n/1vl7iRIkoYTMADMYIJgAYjAKFVQBIXqRV+2kJfuPhy5HZ3UogAq51q4CWwxYIZwGq9jMorEfOKy03G2AI6dclAAw9FmdcaJDlFvrKqeK4a1LoxbWuGkz5xVfRgkrq2CTYR+5AY/MhiggTjYTqIqd8UkY7FulfXbMUtOtNahe3vbJ5S0zs0xZzZ9bA6sXfYEJoTfzSrw3GhdTCwnGNMbB3XfRr5IaRbbqgT/0u6FLOV/tdkkDi/hUnosr1JW2Mij30nHCi9bWufiGt88CNNYtmflAvjYY6XmbNicRUVNnzJ0Iig3GxlwNGzAwjCoN1IzvB+7cp5IXsaCFrEeu1ApQWSkY7H1If889V3xA97hi0hcD4nnU+2Zcl+mJLycCZDGmdfy785/nbGYB/ss7ibM59Ovm/cg9pKRk626FEHLAQIAZjBxMADEaB/0IAKPGu6bRvfATkvvaIdUjtWVUgAh51KYXu/pPfCYBvpDG/+WXvS8xJx3qfHAAaQeSMSxZW05KF3xKor/b+iXUjO+HZj18Q469ftS2C3X7N0XvJHN3ELCEFmuhjqBG+SeKRpQkDfjKwrlhrcZ/RZg5IRE98HHGICC0BlvtMLmFZvL/4XPnHJs1wyIkOUugN9zdfOIh/jzsOt+YCaeaE1B+068D9bW3mguZNJ8N2tm7Sr05IQadVy7BxRHs8bVdMO6bO9q6iODSIalsO4HvPZVryT+p/0r0ing1SIjbl9iXZnMgV2nUAlC4Exv19OfUqeQaAkOxLsgs5f+FudgZOX3ugg/zLl/WUC0/SlbOgL5gAYCjsYAKAwSjwIQXA+5BkyUuWNwPAWfWgLYjr871ABLxwM0Hg4EDtDADpRZ7fps9x5YiDLgGg7++QtlMXFNshnCGoEZ2AX371w7Wu5BKicFHhlnt5zAvvhzpRe5SRtPhk2K5MgKb3JDiZ+eq87iSvNEkA8ENcaARaPJ7EpJ0WMiTnfefINL/9NLKsqxQq/3d9KgZIPPa6rr+YmIrPU9x2jszqWuGZ9Judy/nDookv1LM3Qx2jIzQsMRV1t+/GlF98kdWDnNQLFxXar16pN+nX7DyKWu0i0bLRL5JwH1p4Hu36k64vqc9IfaLrvpwTuQJpSWeIBFlcSlNR6E1KOs5mSeP4T+tazZe20Bev1j+t6g+pjUrDgvQFEwAMhR1MADAYBT7Ug1QJaVFCirX2NgfANniXQAQ4BO/Amv6uAhEANxXG9fOATRmXD0b6dZ2PId9TUmZQyfGVfG5t5oJ69cejdsspsGowCFbmrpLSn1xIUJ/FsxA/uDFyXT4jkjfXNav099gmpEC99U+oQ5fCwslXW5pRTF5p58PNFhQ10QgWEuPvL0f6+ZVs5Lz5hl5L8e/wBQX3Gx7mAcTVdGnnr4t40tpK8oTrM9Y4szJ3hSZ0qSLSX3XPAQTOGkut3c/Z8QHfYsjcSbCNPaZ87MQlQ+MdqSX9/L4jPVOUbFeS+MzvM9JsEqm/bUzf5QAYGl8vCMtJSUdalrCCz5lrD/Dw8gXcv5yuJ/l/IFvxRxwOJNdW2gwGEwAMxggmABiMAgU5A6C3R9s5VDILYDcqGnbBu/Crd38t+X/cpSRatBiot6fO0H0N/Y54f10LgRnSfqXfaVrCGxZe03R6cmdMGIjrXdRaApfZw5YYvuGybi1qRCcoJ3XxyVCvjcV3TX8RlBalES4xkSX1Ey22W67MKN8rTkuylrs2Sr3qpARc0nilxebTxJKuMcAJDlLoFL9vrM1cULfBBNQbuAyVQ36H1ZJY8qrTBPt+WzReuJpQSf/9TmZYHNKLWIFK1nYfh2bMYliZu1L7nv+vLlIvdz1J9wg/bIo2dkjf53IA9Cnrya+uoyXiosW90q49xPmcu4IynzezLysi/6ez7sq2R2nsv5JyoPqCCQCGwg4mABiMAoUhCVgxsS3jAtvu88giYFQ0BvmOwd9dSiCw53DZCkA0zyCNhBnUVj3PmU/K3vc3DG2ztZkL1GtidBIxi/gkdF82H9uGuWDc1ECid/9ydxu8bvs5/vSuj9HTR+PbHbqPKxADS6NR3XMpLBsN1np6SSRXTMp0zQSIiTM/NEcc90/qO/6CZKTfEIfu0PIY+CRVrg4/7W9aG8UlP2m/Kx5rjc2HoMrw1bCdtwfqTfuhjtXt5VcnpsI67gTx+l/qaSfJHYkb7ASvBRGwiT2u10yRxdZD0DQdohWG4vOihUspIfxKZwFooknXGLAxlQoAXaSaSLJTL0lIfMbV23iZmSpa4CtVPtn36n1cSJFvhz6CQBwiRNpPXzABwFDYwQQAg1GgoASAwSS3jAtsnENhG7hNugBY4DY0dp6AJqUG6e0xzw+ire93lMwAvE8bDGmflbkrrFYn6h/Sw7NW69cTPb8p/Wpiyi++aL5hg35JnzFJUM/aDAuvabBsNFiQ6EnzytI85jamrYkrGfP34e8nTobVJTBIx+W+zwkM8e/LfZd0HrRzVerNblrCG0WLWaFOo4lwHLsB6r0n9LoeP2zdgbHTRuDQwHrI7m5N/O70Cd6AiwqpHjUQNm0kau6K128cJaRAvTERrjaB1DGtq8oPrd/k+okv2sT9y+Wb0EQibbxxAoAfUqO4rGZKRl5tfhGRv3olB7mZSQLy/zTrNM7L1fh/W+lHl9deV4Ky0s+YAGAwVjABwGAUKAwzAEpf6PyXbJNSg2BTfQBsnENg4xyK76uEaGP+SaEbk7/+CsHVHPUm17q8iHJEWwkB5+/D98p+aPEi18Ympj7QeE2Deo8enlqe8dcRoNn1LmqsDnZD/4XT8dVeZSu6ai02Ka+2fOQGlB4wEnUbTEDncv6Sa84/P11Jn2IvvFwuQNMS3toEYBLpkyPf/N/ifkf8t41pa0luAL/Cj/i8uG0+FQMkOQfWZi6waOKLyiG/Q71kF6w/pg6OAAAbWElEQVSXxEK9LBoVYhWU1nxrdjFH0WPZb1gc0kvi2YeLCq3Xr5N8p9bOWDTcEqX/+Ik5CU3k79oSsrR+VBKDL+5T/nVVKh7E96fcjAGtXaQQIFoJUME+KVckIT+nrz3EnexLAuKPSyfx6PJ5nLlG9/yfvXiL6KU3hNAr+ZzlADAYM5gAYDAKFCYBYAiB1kUCPMwDMNmhnTY/YO33VmhZyjNvvzIueZWCvvHJ+1fBwmH6tk2fczC0zviHMq50qGZgBNRRytYR4Kzu9t0InzocxwZ8R00e5uz5j0XhsFe/40tFQTLUa2KhDl8GdeQG2M3aBXXIEkn5USXVX0gkkB9aIyaQpOOJa/uL/0/6PilciLS4FynkhLtWdbyXQR35O9RztsBy7T7dpTkJZhl/Em3XrsGkyf444F2fWhKWsxnjvd7v2sUl41vfFWju9KsgsZd0PUizNGKhJHcd+dtJfUvqX+7YcgJdbkzxBQApsZZE/kkLe53NuYe/s85JyP/t7Cz5mP+L1xXnG7yPIKDNJugLJgAYCjuYAGAwChSkAFDiXdeH8JI+r1nWGY86mAgqBCW3NEP9Fv6w9d8oDCHy2wgb51CqENAnpEDJ+Yk/1ycHQNcsgT6zD0qOY23mAo1XBNR79Z8V+HpnHIbPHIsY36aC+u+cJff7mvi9obPHo8uKhaj0x+H3JpjqtXFQT9+A6hO34JvgddAMjECN/otRt8EE+FkNlS05SiOFtM+4/4vJqFsZP22JTxvT1gjQSGcRaOUrOetczh9uLaag7sBl0IQsgTpsGdTLovPO8X36iEf+73Uuq3MG51XbIjg48HuETRuJutt3G/Z7CSlQz9qkLQlL61d+39CSwUmzL7pm5khrAMgJDyUCndR+vgDQmQickoHTV6Se/Iyrt/FCFO//OjMJV65ckyf/mXfyKgfp6b3nhApNsNDyBEiCQV8wAcBQ2MEEAEOB4fnz5wgODoaFhQWKFy+O+vXrIzY21qBj/ZcCQOnKnIaSXpr1tf8Of3f4QiAC7nUtg55+k4QC4G2J0WrdlilKIs4v40iNmGDoG6Kgi/C8T79z/29i6gMLJ1+oZ29RXBWGb/YxR/Dz0rlYMbobsrtbAy4qzCR4kK3jTuBJu+KAiwqv236OtL7VsXJ0V/jPmQCnTVuhScgfwpsnEJJgse0wqszdjZqhG1Cn0UTiarJioi7+W1zLn39tue/TvPj8bR3LB0DTayLU41fCPiIqj+RzRF9BCU5dpPv7bdHwnj+VnMCdmIqjnrWJpP+2W3lsGNEBA+dPQ5U9eoZt8cSY9fJ41Og1H05mvoK1FEhknhTOQyP54rUW5MSaEuIu/g3S/ankeFwZUD6hJtf3z0DaVTL5F8f7P888hXPZt7D26BUs3J+JtUevIJkvHHLywn448i8OM9K1/oAu0i8XusRyABiMHUwAMBQYevToARMTE4wcORKLFy9Gw4YNYWJigoMHD+p9rMI2A5BfRFVsThUa40JrU4EIyHX7DDO8fkal4B2ShGIb59B8b7MusvA+VYCUePP1OQe5tnKfOZn5Qh2yFOoYQiUYhfbD1h34LuoPyXbXNatkPdB/dyiFI151sDikF/znTECL3zfAilSRxlD74wSqey4VCAE++aSFmpBM16Je3H4dywdAPWuTQWE7JLOMP4kmm7bA+7cpmBveD/sGNcD9TmbaPnzpagK7GOnaDzPGewEuKjxpXxwJPo0wfkqg/onbItKvXhoNTbO8Sj60vqMl38oRdF0lWpXsrzQfgDYDICcwmpbwlqwDwCfeWhJNIf9c3D8/9Of+pbMI3ZqGb8fHCJ5Z306IwZhtp5GS+ZdgcS+lhN7QUB8fbz+oVCr8EbUfHdv/hNKmpWFaqjQ6dnDDsUOn9H53MAHAUNjBBABDgeD48eNQqVSIjIzUbnv27BkqV66Mhg0b6n28j64K0HtY1bItsb13E8miYQd610adEWslFYWU5ATk53noCjHQFR5iSLvkiKmuY/HDgyycfKGesxnquPf0UL+1/gunKwpF4Rsp6bTmrnhU3nvQ4HbYR2yXrDIrvhbipHN+mVDSqr6kVYs7lg+Axbb3C3WquSseU37xxdZhbXGmT1U8/7Gozj4jrcD7/bZdaL96JbnEp1JLSIHF5kNQN/fDCNsAItnmCyTaYmy0EB25NR6U1P+njX3x8fm/S1unQy58yMb0XQgQNYQmJZ0Y9sO3czn38CIzFdczM+G+4DC1FLLdqGi4z05E8smLBgsAXfkC4v05AVC9Wg20bNEGoaPHwa1zV6hUKvTz8NL73cEEAENhBxMADAWCoKAgFClSBI8fPxZsnzx5MlQqFXJycvQ6XmFOAtbXSJ44wYu5Wn/YBe9C6KDBeOEmzAu407Ucevj/KniRtnIcZ/DvG2JKPIz50Tdi8iJHivTpa7cyfmhi6oM6jSblJeNGHzfca5yYCk1CMpw2bUXgrLFYG9QZF36uTE0oftKuOCzipeJj0/B2gIsKd38qh5P9a2FLoCtmjffEiJlh6Ll0Hppt3IRqu/fLttNywBTt+YlDVnSV+OSTSTGp5P+tmbWJSqQr7z0Ip01b0XX5QgybPQ7TJ3jDa0GEZN86UXv0EkyXu9vg56Vz80Ww5Xn6k2CzIh6a3pO0cf1KCLiusceRen0EMGmMyolbXYu3cfcnLVlY7py4GQBaGdCzF2+Jkn3JYuDMtfsYs+20LPnnLGTNUSrhp4X+kHIUxKFCpO9xAqBzJ3fBsVo0b42yZmX1fncwAcBQ2MEEAEOBoFWrVnB0dJRsj4+Ph0qlws6dO/U63n8lAAwlse8TDiMx3krCHYbORE43tSQkyHPIWGoYkD7ecUPa/CEFgD7HNfT3xBVZmpbwhpW5K2r0mg/18t3vH7+emAqHvYfQ+X9LMW5qILYEuiK9VyW8bvs5Tnk4EvdP6VdTERl+9uMXyOlqgUmTAyQE3HLrYUF1GlopSVo4CilxlU8ercxd8/IpeCLE+7cpyO5ujSftixPbu31oG6Jgou2f3d0au/xb4tdf/dB92XxU370vf0h/TBKqzdmNOo0mEcN7xMRbzusu7i9dnnXxsZSWBhWbXDgX//+0dQD4xyFVcuLnAPA96ZdSruZ5/68+0JL8W9mX8SwrDWeuPZAIgOQr9yVhPzT7btxe2VkAUuUfWplSXTMInABYt3qz4PORw8dApVJJnFW6wAQAQ2EHEwAMBYKaNWuiRYsWku3nzp2DSqXCokWLqN+9c+cOzp49K7CoqKgCnQHQh2wa6q3WmnOI4CVZa+QG7O3TUCsA0nvYolrQFp4ACMkXUq2EaPMFgCF9oi+Zf19RofR3+Z/3qTAUVg0GQd0hCOqN+95rdoBvdjFHyZVoElLwqKOpXl7xyImDiL9Rr/54Abnjix3O68/3VJPKgJLWFmhawhsl3HpLfs933i+y7UzqV4vYzvjBjXHAuz6WhvTAyJmhaLd65XuFQNFIv3rWJjRvOllL+mmzSTTPvdLYfRIRJ40vXeNZXPHHkHA62v2p61ikECCtnbksIPkXcu7iVWYy7l1OlwiAtUevKCL/nG3Ye1Y27Idvl1PJsxNKwoQ4AZAYe1iw3+RxkVCpVLhyRb9SoEwAMBR2MAHAUCBwcHCAq6urZHtWVhZUKhVmzZpF/e64ceOgUqmI9ik8SA9m/CV9UQbvQvigQXjcpRTaDPtN8NnBjL8KuslGjSevchGRdQOV9p/KX4LKEwDNNm5Cv0UzMGHKMPxvVBck+DRCRk97bYUhsY2aPoZ4rOi/Hn6wfphw6brk97otX0BdM+FydxtEEWYAPpRZJKai+bFzmJJ1Ewfu/42XuW8+WF8YI+QI7aOnLyRE/8qVa3iVmYJzOfcE2xfuz9RLAOw9c/M/OT/uvXL37l3B9pUrV0KlUiE7O1uv4zEBwFDYwQQAQ4HgY5kBKIx4+ToXjmP3El+WX48UrgngOHYvXr7OLegmfzJ48ioX86/eRv+0LFT7M+3DE9uEFFTfvQ/OGzai59J5GDZ7HH791Q8tft9A3P/Qg78/2LkvunpH8nu1o/Zi6qTBGDEzDL2XzEar9etRc1d8/pY/lTHnY+cwJfMG9t9/zAj/e0KO0P7z7BV55V5CHoC+MwBHMu/9J+fHBADDpwYmABgKBB9LDkBhxczYdEUvz1lx+tevZsg/PHmVi0VX72BcxnWMuHAFHZLSofmPPN5iq/ln2gclwU9e5RbIeVkmpsL52AV0PHkR3VIvYXLmDebh/wCQI7S5b97g3I3H8ot56ZkDYD8qGvUmxf1nDgwmABg+NTABwFAgGDlyJLEK0K+//lqoqgAVVrx8nQuPFcdlX6AeK44z738hxMvcN0i4+xh+Z7PR4eRFVP1QoUMim5l964Ofm3vKpf/kXDSJqXA+dh4xfz1iRP8/gi5Ce/vxM0UCIO3aQ/wafU6RA2NufMZ/dn5MADB8amACgKFAcOzYMck6AM+fP8dXX32FH374Qe/jfYoP0pevczE3PgN1J8UKXpp1J8VibnwGI/8fEZ68ysX8K7fhdToL3VIy4HU6C/UOn8k3wtw99dJ/QpSfvMpFjT9P5yvZr3foDAadzoLfuWxMY/H7BQZdhDb3zRtk3/1Xlvifv/kYr3Jz8fJ1LvqvPKH19Is9/3ajotF/5Yn/9BnGBADDpwYmABgKDF27doWJiQmCgoKwePFiNGrUCCYmJjhw4IDex/qUH6QvX+fiSOY97D1zE0cy7zHib0TgzxZ0TkpHl5QMuKdkwOnIWVgoIM9WiamYmnXjPyXMT17lwi05QzHBt0hMRbNj5+B9OgtdUtLROTkd/ueuIP4e8+4XJightLlv3uD242eScKCzNx7h9uNnyH3z7npyDox6k+IEAqDepDijcGAwAcBQ2MEEAEOB4dmzZxg5ciQ0Gg2KFSuG77//Hn/88YdBx2IPUoZPDS9z3+DA/b/xy6UbaHP8AhofPYeGR86iw8mL8DubXeAEWjircQmDz2TD98xl+J69kufNv3yTJed+RFBCaDnkvnmDf569wqOnL/DPs1cC4i+GsTowmABgKOxgAoDBKMAepAwMDAwfDvoIAAYmABgKP5gAYDAKsAcpAwMDw4cDEwD6gQkAhsIOJgAYjALsQcrAwMDw4cAEgH5gAoChsIMJAAajAHuQMjAwMHw4MAGgH5gAYCjsYAKAwSjAHqQMDAwMHw5ZWVnIzMws6GZ8NMjMzGQCgKFQgwkABqMAe5AyMDAwfDhkZ2cjPT0db2Qq+jDk4c2bN0hPT9e5dgB7bzEUJJgAYDAKsAcpAwMDw4fDzZs3cf78edy+fZuJABm8efMGt2/fxvnz53Hz5k3Zfdl7i6EgwQQAg1GAPUgZGBgYPhxyc3ORnZ2N8+fPIz09XRviwuydZWZmIj09HefPn0d2djZyc+XXNGDvLYaCBBMADEYB9iBlYGBg+LDIzc3FzZs3kZ2dXeBku7BadnY2bt68qZP8A+y9xVCwYAKAwSjAHqQMDAwMDB8T2HuLoSDBBACDUYA9SBkYGBgYPiaw9xZDQYIJAAajAHuQMjAwMDB8TGDvLYaCBBMADEYB9iBlYGBgYPiYwN5bDAUJJgAYjALsQcrAwMDA8DGBvbcYChJMADAYBdiDlIGBgYHhYwJ7bzEUJJgAYDAKsAcpAwMDA8PHBPbeYihIMAHAYBRITk6GSqVCVFQUzp49y4wZM2bMmBVqi4qKgkqlQnJyckG/Qhk+QTABwGAU4B6kzJgxY8aM2cdkUVFRBf0KZfgEwQQAg1Hg4cOHiIqKQnJycr57Z9isAus71m+F31jfsX772PotOTkZUVFRePjwYUG/Qhk+QTABwMBAwdmzLD7TULC+Mwys3wwH6zvDwPrNMLB+Y/jYwQQAAwMF7AFvOFjfGQbWb4aD9Z1hYP1mGFi/MXzsYAKAgYEC9oA3HKzvDAPrN8PB+s4wsH4zDKzfGD52MAHAwEABe8AbDtZ3hoH1m+FgfWcYWL8ZBtZvDB87mABgYKDgzp07GDduHO7cuVPQTfnowPrOMLB+Mxys7wwD6zfDwPqN4WMHEwAMDAwMDAwMDAwMnxCYAGBgYGBgYGBgYGD4hMAEAAMDAwMDAwMDA8MnBCYAGBgYGBgYGBgYGD4hMAHAwMDAwMDAwMDA8AmBCQAGBhGeP3+O4OBgWFhYoHjx4qhfvz5iY2MLulkFgn379kGlUhHt6NGjgn0PHz6Mxo0bo0SJElCr1fD398c///wjOaYx9u8///yD8PBwuLi4oFy5clCpVFi5ciVx3/Pnz8PFxQWlSpVCuXLl0Lt3b/z111+S/XJzczFt2jTY29ujWLFiqFWrFtavX/9exyxsUNpvHh4exDFYrVo1yb6fQr+dOHECQ4YMQY0aNVCyZEnY2Niga9euSE9Pl+zLxpsQSvuOjTkGYwcTAAwMIvTo0QMmJiYYOXIkFi9ejIYNG8LExAQHDx4s6Kb95+AEQEBAANasWSOwu3fvavdLTU1F8eLFUbt2bSxcuBChoaEoVqwY2rZtKzmmMfZvdnY2VCoVbG1t4ezsTCWy165dQ/ny5VG5cmXMmTMHv/76K8qVK4dvv/0WL168EOw7evRoqFQqDBw4EEuWLEG7du2gUqnw+++/G3zMwgal/ebh4YFixYpJxuDOnTsl+34K/ebu7g6NRgN/f38sXboUkyZNglqtRqlSpXDmzBntfmy8SaG079iYYzB2MAHAwMDD8ePHoVKpEBkZqd327NkzVK5cGQ0bNizAlhUMOAGwefNm2f1cXV1hYWGBx48fa7ctXboUKpUKMTEx2m3G2r/Pnz/HrVu3AAAnT56kEtnBgwejRIkSuHr1qnZbXFwcVCoVFi9erN12/fp1FC1aFEOGDNFue/PmDZo0aQJra2u8fv1a72MWRijtNw8PD5QqVUrn8T6Vfjt8+LCEMGZkZKBYsWL4+eeftdvYeJNCad+xMcdg7GACgIGBh6CgIBQpUkRAZAFg8uTJUKlUyMnJKaCWFQz4AuDvv//Gq1evJPs8fvwYJiYmCAoKEmx/8eIFTE1N4enpqd32KfSvHJGtWLEiunbtKtletWpVtGzZUvv3/PnzoVKpcO7cOcF+69evh0qlEsyWKD1mYYcSAfD69WvJ2OHjU+w3PurUqYM6depo/2bjTTnEfcfGHIOxgwkABgYeWrVqBUdHR8n2+Ph4qFQq4vSvMYMTAKamplCpVChSpAicnZ1x8uRJ7T6HDh2CSqXCxo0bJd93cnISvFQ/hf6lEdnr169DpVJh2rRpku/07t0b5ubm2r+9vLxQqlQpvHnzRrBfZmYmVCoV5s6dq/cxCzt0CYDPPvsMJUuWhEqlQrly5eDr6yvJMfkU+43DmzdvYGVlhTZt2gBg400fiPsOYGOOwfjBBAADAw81a9ZEixYtJNvPnTsHlUqFRYsWFUCrCg6HDx+Gu7s7/t/e/YQ0/cdxHP8ky83vIU0ZKBHC8iZBl5KMCD2UGgkVQpBdOkjSQQ9GXjqt1jGWglh58Q8RQdAh6ppB1KHoEHWQEIqom0uoiThev9O+OL/b2kJ+jr2fD/CwD599/PLmDfu+9vl+v5uZmdHTp091+/ZtNTU1KRKJ6P3795Kkx48fyzmnxcXFwPsHBgbU3Nzsv7ZQ30Instnx2dnZwHuuXbsm55zW1tYkSadPn1YsFgvM+/37t5xzGh8fL3vNSlcsAIyPj+v69et69OiRHj586N+geezYsZxdKYt1y5qbm5NzTjMzM5Lot3JsrZ1Ez6H6EQCATWKxmHp7ewPjX758kXNOd+7c2YGjqixLS0uqq6vTqVOnJEmzs7Nyzunt27eBuZcuXVJ9fb3/2kJ9C53ILi4uFtwpuXHjhpxzWllZkSR1d3fn3SnJZDJyzmlkZKTsNStdsQCQz61btwI3WlqsmyR9/vxZe/bs0dGjR/1rzum30uSrXSH0HKoJAQDYxMI31NvhwoULqq2t1cbGBjsAW7AD8G/KDQB//vxRTU1Nzj0mFuv248cPxWIx7d+/X9+/f/fH6be/K1S7Qug5VBMCALCJhWvUt0P2A+vXr1/cA7DFdt0D4HmeqeuKyw0AkhSNRnX27Fn/tbW6pVIpHTp0SI2NjYGbUOm34orVrhjrPYfqQQAANhkbG8v7lJrs1m81PKVmO5w/f16RSESZTEapVKroU4AuX77sj1mob7ET2Wg0WvApIJt3RiYnJ/M+WWRhYSGw21LqmpWu3ACwurqqXbt2aWhoyB+zVLd0Oq3jx4/L8zy9fv067xz6Lb9SapeP9Z5DdSEAAJu8efNGzuU+p35tbU1tbW3q6OjYwSPbGfl+ofLDhw/avXu3+vv7/bGenh61tLRodXXVH3vw4IGcc3r+/Lk/ZqG+xU5kr1y5orq6upygk939mJqa8se+fftW8Nni+/bty7lWudQ1K12huqXT6Zy+ysruQj158sQfs1K3jY0N9ff3KxQK6dmzZwXn0W9BpdSOnoMFBABgi4GBAf8b7enpaXV2dioUCunly5c7fWj/u66uLvX19enmzZu6d++eRkdH5Xme6uvr9enTJ3/eu3fvFA6Hc34JOBKJ5DxWL6ta6zsxMaF4PK7h4WE553Tu3DnF43HF43GlUilJ0tevX9XU1KQDBw7o7t27SiQS2rt3rw4ePBi4/jd7sjE0NKT79+/7vy66sLCQM6+cNSvR3+q2vLyshoYGDQ8PK5lMKplMqq+vT8459fT0KJPJ5KxnoW4jIyNyzunMmTOBX6qdm5vz59FvQaXUjp6DBQQAYIt0Oq2xsTE1NzcrHA7r8OHDevHixU4f1o5IJpM6cuSIGhsbFQqF1NLSosHBQS0tLQXmvnr1Sp2dnYpEIopGo7p69Wreb9Gqtb6tra1yzuX9W15e9ud9/PhRJ0+elOd5amho0MWLF/Xz58/AeplMRolEQq2traqtrVV7e7vm5+fz/u9S16xEf6vbysqKBgcH1dbWJs/zFA6H1d7erkQiofX19cB6Fup24sSJgjVzLvdjnX7LVUrt6DlYQAAAAAAADCEAAAAAAIYQAAAAAABDCAAAAACAIQQAAAAAwBACAAAAAGAIAQAAAAAwhAAAAAAAGEIAAAAAAAwhAAAAAACGEAAAAAAAQwgAAAAAgCEEAAAAAMAQAgAAAABgCAEAAAAAMIQAAAAAABhCAAAAAAAMIQAAAAAAhhAAAAAAAEMIAAAAAIAhBAAAAADAEAIAAAAAYAgBAAAAADCEAAAAAAAYQgAAAAAADCEAAAAAAIYQAAAAAABDCAAAAACAIQQAAAAAwBACAAAAAGAIAQAAAAAwhAAAAAAAGEIAAAAAAAwhAAAAAACGEAAAAAAAQwgAAAAAgCEEAAAAAMAQAgAAAABgyH9L2uvZne4UgQAAAABJRU5ErkJggg==\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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"
    },
    {
     "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"
    },
    {
     "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": {
      "text/html": [
       "<img 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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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"
    },
    {
     "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": [
    "# Re-extract many more control points from images for a better fit\n",
    "\n",
    "for sg in gonioref2.single_geometries.values():\n",
    "    sg.extract_cp(pts_per_deg=3)\n",
    "    jupyter.display(sg=sg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cost function before refinement: 5.3690671032941176e-08\n",
      "[-0.00118686  1.00184287  0.21574533 -0.00429667  0.21300993  0.00138094\n",
      "  0.00735187  0.00492121]\n",
      "     fun: 4.981973670290094e-08\n",
      "     jac: array([ 7.98598707e-08, -3.86080536e-08,  1.18757935e-07,  3.12309648e-07,\n",
      "        6.68892760e-07,  2.68199914e-07,  2.53968449e-07, -2.25197049e-07])\n",
      " message: 'Optimization terminated successfully.'\n",
      "    nfev: 113\n",
      "     nit: 11\n",
      "    njev: 11\n",
      "  status: 0\n",
      " success: True\n",
      "       x: array([-0.00120911,  1.00182832,  0.21574406, -0.00410329,  0.2130139 ,\n",
      "        0.00123994,  0.00725786,  0.00480628])\n",
      "Cost function after refinement: 4.981973670290094e-08\n",
      "GonioParam(dist_offset=-0.001209107059104179, dist_scale=1.0018283199795561, poni1_offset=0.2157440593332893, poni1_scale=-0.004103286930562514, poni2_offset=0.21301389997701525, poni2_scale=0.0012399357779937599, rot1=0.007257863461889843, rot2=0.004806281479262099)\n",
      "maxdelta on: poni1_scale (3) -0.004296673893756173 --> -0.004103286930562514\n",
      "MultiGeometry integrator with 7 geometries on (0, 65) radial range (2th_deg) and (-180, 180) azimuthal range (deg)\n"
     ]
    },
    {
     "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"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f8b528fff28>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Refine again the model\n",
    "\n",
    "gonioref2.refine2()\n",
    "\n",
    "# Build the MultiGeometry integrator object\n",
    "\n",
    "multigeo3 = gonioref2.get_mg(distances)\n",
    "multigeo3.radial_range=(0, 65)\n",
    "print(multigeo3)\n",
    "\n",
    "# Perform the azimuthal integration\n",
    "res3 = multigeo3.integrate1d([fabio.open(fn).data for fn in image_files], 10000)\n",
    "\n",
    "# Display the result\n",
    "fig, ax = subplots()\n",
    "ax.plot(*res, label=\"only distance free\")\n",
    "ax.plot(*res2, label=\"distance and PONI free\")\n",
    "ax.plot(*res2, linestyle=\"--\", label=\"distance and PONI free, more points\")\n",
    "ax.set_xlabel(res2.unit.label)\n",
    "ax.set_xlim(17, 22)\n",
    "ax.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "This re-extraction of control point did not help to get a sharper diffraction profile. This step was un-necessary.\n",
    "\n",
    "## Conclusion\n",
    "This notebook exposes the how to calibrate a translation table for a moving detector. It allows to:\n",
    "* Check the proper alignement of the table regarding the actual beam \n",
    "* Check the encoder's precision (usually good) and offsets (arbitrary)\n",
    "* Perform azimuthal integration to retrieve powder diffraction patterns at any position of the detector.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total execution time: 158.981s\n"
     ]
    }
   ],
   "source": [
    "print(\"Total execution time: %.3fs\"%(time.time() - start_time))"
   ]
  }
 ],
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   "display_name": "Python 3.7 local venv",
   "language": "python",
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