{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Demo of usage of the MultiGeometry class of pyFAI\n",
    "\n",
    "For this tutorial, we will use the *Jupyter* notebook, formerly known as ipython, an take advantage of the integration of matplotlib."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n",
      "Using pyFAI verison:  0.18.0\n"
     ]
    }
   ],
   "source": [
    "%pylab nbagg\n",
    "import time\n",
    "start_time = time.time()\n",
    "import pyFAI\n",
    "from pyFAI.method_registry import IntegrationMethod\n",
    "from pyFAI.gui import jupyter\n",
    "print(\"Using pyFAI verison: \", pyFAI.version)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The multi_geometry module of pyFAI allows you to integrate multiple images taken at various image position, all togeather.\n",
    "This tutorial will explain you how to perform azimuthal integration in three use-case: translation of the detector, rotation of the detector around the sample and finally how to fill gaps of a pixel detector. But before, we need to know how to generate fake diffraction image.\n",
    "\n",
    "## Generation of diffraction images\n",
    "PyFAI knows about 20 different reference sample called calibrants. We will use them to generate fake diffraction images knowing the detector and its position in space"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of known calibrants: 28\n",
      "C14H30O, Si_SRM640c, LaB6, cristobaltite, Ni, Au, CeO2, Si_SRM640a, ZnO, alpha_Al2O3, Al, Si_SRM640e, Si_SRM640d, quartz, AgBh, Si_SRM640b, TiO2, NaCl, LaB6_SRM660a, mock, PBBA, CuO, LaB6_SRM660c, CrOx, Cr2O3, Si, LaB6_SRM660b, Si_SRM640\n"
     ]
    }
   ],
   "source": [
    "import pyFAI.calibrant\n",
    "print(\"Number of known calibrants: %s\"%len(pyFAI.calibrant.ALL_CALIBRANTS))\n",
    "print(\", \".join(pyFAI.calibrant.ALL_CALIBRANTS.keys()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LaB6 Calibrant with 59 reflections at wavelength 1e-10\n",
      "Number of reflections for calibrant at given wavelength: 59\n"
     ]
    }
   ],
   "source": [
    "wavelength = 1e-10\n",
    "LaB6 = pyFAI.calibrant.get_calibrant(\"LaB6\")\n",
    "LaB6.set_wavelength(wavelength)\n",
    "print(LaB6)\n",
    "print(\"Number of reflections for calibrant at given wavelength: %i\"%len(LaB6.get_dSpacing()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will start with a \"simple\" detector called *Titan* (build by *Oxford Diffraction* but now sold by *Agilent*). It is a CCD detector with scintilator and magnifying optics fibers. The pixel size is constant: 60µm "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Detector Titan 2k x 2k\t PixelSize= 6.000e-05, 6.000e-05 m\n",
      "Detector is flat, P3= None\n",
      "Center of the detector: poni1=0.06144 poni2=0.06143988\n"
     ]
    }
   ],
   "source": [
    "import pyFAI.detectors\n",
    "det = pyFAI.detectors.Titan()\n",
    "print(det)\n",
    "p1, p2, p3 = det.calc_cartesian_positions()\n",
    "print(\"Detector is flat, P3= %s\"%p3)\n",
    "poni1 = p1.mean()\n",
    "poni2 = p2.mean()\n",
    "print(\"Center of the detector: poni1=%s poni2=%s\"%(poni1, poni2))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The detector is placed orthogonal to the beam at 10cm. This geometry is saved into an *AzimuthalIntegrator* instance:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Detector Titan 2k x 2k\t PixelSize= 6.000e-05, 6.000e-05 m\n",
      "Wavelength= 1.000000e-10m\n",
      "SampleDetDist= 1.000000e-01m\tPONI= 6.144000e-02, 6.143988e-02m\trot1=0.000000  rot2= 0.000000  rot3= 0.000000 rad\n",
      "DirectBeamDist= 100.000mm\tCenter: x=1023.998, y=1024.000 pix\tTilt=0.000 deg  tiltPlanRotation= 0.000 deg\n",
      "IntegrationMethod(1d int, full split, histogram, cython) IntegrationMethod(2d int, full split, LUT, cython)\n",
      "Method(dim=1, split='full', algo='histogram', impl='cython', target=None)\n"
     ]
    }
   ],
   "source": [
    "from pyFAI.azimuthalIntegrator import AzimuthalIntegrator\n",
    "ai = AzimuthalIntegrator(dist=0.1, poni1=poni1, poni2=poni2, detector=det, wavelength=wavelength)\n",
    "print(ai)\n",
    "method = IntegrationMethod.parse(\"full\", dim=1)\n",
    "method2d = IntegrationMethod.parse(\"full\", dim=2)\n",
    "\n",
    "print(method, \n",
    "      method2d)\n",
    "print(method.method)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Knowing the calibrant, the wavelength, the detector and the geometry, one can simulate the 2D diffraction pattern:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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",
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       "                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",
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       "            event.step = -1;\n",
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       "        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 0x7f0294ecb668>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "img = LaB6.fake_calibration_image(ai)\n",
    "jupyter.display(img, label=\"Simulated LaB6\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This image can be integrated in q-space and plotted:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f028562fb70>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jupyter.plot1d(ai.integrate1d(img, 1000, method=method))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note pyFAI does now about the ring position but nothing about relative intensities of rings.\n",
    "\n",
    "## Translation of the detector along the vertical axis\n",
    "\n",
    "The vertical axis is defined along the *poni1*. If one moves the detector higher, the poni will appear at lower coordinates.\n",
    "So lets define 5 upwards verical translations of half the detector size. \n",
    "\n",
    "For this we will duplicate 5x the AzimuthalIntegrator object, but instances of *AzimuthalIntegrator* are mutable, so it is important to create an actual *copy* and not an *view* on them. In Python, one can use the *copy* function of the *copy* module:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "import copy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will now offset the *poni1* value of each AzimuthalIntegratoe which correspond to a vertical translation. Each subsequent image is offsetted by half a detector width (stored as *poni1*).\n"
   ]
  },
  {
   "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": {
      "text/html": [
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\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Detector Titan 2k x 2k\t PixelSize= 6.000e-05, 6.000e-05 m\n",
      "Wavelength= 1.000000e-10m\n",
      "SampleDetDist= 1.000000e-01m\tPONI= 6.144000e-02, 6.143988e-02m\trot1=0.000000  rot2= 0.000000  rot3= 0.000000 rad\n",
      "DirectBeamDist= 100.000mm\tCenter: x=1023.998, y=1024.000 pix\tTilt=0.000 deg  tiltPlanRotation= 0.000 deg\n",
      "Detector Titan 2k x 2k\t PixelSize= 6.000e-05, 6.000e-05 m\n",
      "Wavelength= 1.000000e-10m\n",
      "SampleDetDist= 1.000000e-01m\tPONI= 0.000000e+00, 6.143988e-02m\trot1=0.000000  rot2= 0.000000  rot3= 0.000000 rad\n",
      "DirectBeamDist= 100.000mm\tCenter: x=1023.998, y=0.000 pix\tTilt=0.000 deg  tiltPlanRotation= 0.000 deg\n",
      "Detector Titan 2k x 2k\t PixelSize= 6.000e-05, 6.000e-05 m\n",
      "Wavelength= 1.000000e-10m\n",
      "SampleDetDist= 1.000000e-01m\tPONI= -6.144000e-02, 6.143988e-02m\trot1=0.000000  rot2= 0.000000  rot3= 0.000000 rad\n",
      "DirectBeamDist= 100.000mm\tCenter: x=1023.998, y=-1024.000 pix\tTilt=0.000 deg  tiltPlanRotation= 0.000 deg\n",
      "Detector Titan 2k x 2k\t PixelSize= 6.000e-05, 6.000e-05 m\n",
      "Wavelength= 1.000000e-10m\n",
      "SampleDetDist= 1.000000e-01m\tPONI= -1.228800e-01, 6.143988e-02m\trot1=0.000000  rot2= 0.000000  rot3= 0.000000 rad\n",
      "DirectBeamDist= 100.000mm\tCenter: x=1023.998, y=-2048.000 pix\tTilt=0.000 deg  tiltPlanRotation= 0.000 deg\n",
      "Detector Titan 2k x 2k\t PixelSize= 6.000e-05, 6.000e-05 m\n",
      "Wavelength= 1.000000e-10m\n",
      "SampleDetDist= 1.000000e-01m\tPONI= -1.843200e-01, 6.143988e-02m\trot1=0.000000  rot2= 0.000000  rot3= 0.000000 rad\n",
      "DirectBeamDist= 100.000mm\tCenter: x=1023.998, y=-3072.000 pix\tTilt=0.000 deg  tiltPlanRotation= 0.000 deg\n"
     ]
    }
   ],
   "source": [
    "ais = []\n",
    "imgs = []\n",
    "fig, ax = subplots(1,5, figsize=(10,2))\n",
    "for i in range(5):\n",
    "    my_ai = copy.deepcopy(ai)\n",
    "    my_ai.poni1 -= i*poni1\n",
    "    my_img = LaB6.fake_calibration_image(my_ai)\n",
    "    jupyter.display(my_img, label=\"poni$_1$=%3.1fmm\"%(1e3*my_ai.poni1), ax=ax[i])\n",
    "    ais.append(my_ai)\n",
    "    imgs.append(my_img)\n",
    "    print(my_ai)\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## MultiGeometry integrator ##\n",
    "\n",
    "The *MultiGeometry* instance can be created from any list of *AzimuthalIntegrator* instances or list of *poni-files*. Here we will use the former method.\n",
    "\n",
    "The main difference of a *MultiIntegrator* with a \"normal\" *AzimuthalIntegrator* comes from the definition of the output space in the constructor of the object. One needs to specify the unit and the integration range. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyFAI.multi_geometry import MultiGeometry"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MultiGeometry integrator with 5 geometries on (0, 10) radial range (q_A^-1) and (-180, 180) azimuthal range (deg)\n"
     ]
    }
   ],
   "source": [
    "mg = MultiGeometry(ais, unit=\"q_A^-1\", radial_range=(0, 10))\n",
    "print(mg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*MultiGeometry* integrators can be used in a similar way to \"normal\" *AzimuthalIntegrator*s. Keep in mind the output intensity is always scaled to absolute solid angle."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = jupyter.plot1d(mg.integrate1d(imgs, 10000, method=method))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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": {
      "text/html": [
       "<img 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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = subplots()\n",
    "for idx, (i, a)  in enumerate(zip(imgs, ais)):\n",
    "    jupyter.plot1d(a.integrate1d(i, 1000, unit=\"q_A^-1\", method=method), label=\"pos%i\"%idx, ax=ax)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rotation of the detector \n",
    "\n",
    "The strength of translating the detector is that it simulates a larger detector, but this approach reaches its limit quikly as the higher the detector gets, the smallest the solid angle gets and induces artificial noise. One solution is to keep the detector at the same distance and rotate the detector.\n",
    "\n",
    "This setup is common when mounting a detector on a goniometer.\n",
    "\n",
    "### Creation of diffraction images\n",
    "\n",
    "In this example we will use a Pilatus 200k with 2 modules. It has a gap in the middle of the two detectors and we will see how the *MultiGeometry* can help.\n",
    "\n",
    "As previously, we will use LaB6 but instead of translating the images, we will rotate them along the second axis:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "None\n",
      "0.035002\n",
      "0.04188201\n"
     ]
    }
   ],
   "source": [
    "det = pyFAI.detectors.detector_factory(\"pilatus200k\")\n",
    "p1, p2, p3 = det.calc_cartesian_positions()\n",
    "print(p3)\n",
    "poni1 = p1.mean()\n",
    "poni2 = p2.mean()\n",
    "print(poni1)\n",
    "print(poni2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f0285422cc0>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ai = AzimuthalIntegrator(dist=0.1, poni1=poni1, poni2=poni2, detector=det)\n",
    "img = LaB6.fake_calibration_image(ai)\n",
    "\n",
    "jupyter.display(img, label=\"Pilatus 200k with LaB$_6$\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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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+wySJOGNN97AiBEjMGLECOTn5wMAevToAUmSkJGRof9eZWUlHn/8cVx//fUYNmwYZs6ciVatWuGGG27AkSNH6h0Hk5aIfg+1BY6sqCgw+c2bHLO+huQ9WReKeG49EJJwSj9HI9Vk0eG4xFrKmIBsAGRZdjojT23B76gBAICLFy/io48+ws0334ymTZuiU6dOiIuLMxQHk5aIfg/WBc7Rs5dEh0P1lF9UziL1d5KQlcdz64FVcVn6OWod7HyCEzNgLWVMQDYAZsGkJaLfg3WBE30kR3Q4VE91i1QO4/KeLSlnbc5tZRXPrSMLdxy3OU+HswtEh+QUaylj2AAIxKQlot+D9Y37lz2ZosOhevot/qTNNcwv4jAub7F+si0rKrIuFIkOyZSmRKTanKfQg9miQ3KKtZQxbAAEYtISkbcVllbY3Lgnbj4qOiSqp4mbj9pcw2OcrcZr5mxNtzm3W4+eEx2SKQ3fkGxznlbvOyk6JKdYSxnDBkAgJi0Reduxc4U2N+4+qw+IDonq6cvl8TbXcC+nc/Wa0RsP25zbRTuOiw7JlHqvOmBznhbHZogOySnWUsawARCISUtE3habft7mxv3e/N2iQ6J6emXaNptrGHbIvMMv/M33dQrbYevNPcONKL2WxNmcp5nRaaJDcoq1lDFsAARi0hKRt1lP3ycrKp6fuFV0SFRPT4zZYnMNf951QnRIV4z/Ltprc26VXxNFh2RK3ebG2pyn8eH1n+rcV1hLGcMGQCAmLRF529wY2zHO9w8O4ywyfubh4ZttruGUiFTRIV0xuszYYXNuv/4lXnRIptR5iu1bqKHrzVunsJYyhg2AQExaIvK2uh/vyYqKorIK0WFRPdw7KMzm+g0JOSQ6pCvGU2Nt3658vNjYOj5Xuid/sD1PZv6WiLWUMWwABGLSEpG3fbsiwa4BOF9YKjos8lBVVbXd9ft82X7RYV0x7h9s21zxGxnHHggO95scZC1lDBsAgZi0RORtnyzZZ1dAnrzIuc79RXFZpd316zY3VnRYV4SScvtz+8asnaLDMp2qqmrc0c/2PP1n4R7RYTnFWsoYNgACMWmJyNs+WLDHrshJy7kkOizy0PnCUrvr9+LkGNFhXRHO5JfYndvOU7aJDst0CkrK7c5T19nmbUJZSxnDBkAgJi0Redtbc2Ltbt6HTuWLDos8dPJikd316zQuSnRYV4TjuZftzu0z46NFh2U6jnLw5anmbZRYSxnDBkAgJi0ReVuX6dshKyru6r+RC0n5obScS/p1q/0YuP2oSNFhXREOZxfo57Z1zRh3nlt7yact56nFgFDTN0qspYxhAyAQk5aIvO0fk2IgKyoeHRGh38Rjjp4THRZ5KPFknn7dOoyOhKyoaDNsk+iwrgjxmRf1c9txbBRkRcUDweGiwzKdXcfO252nx0ZGiA7LKdZSxrABEIhJS0TeVnvDfmHiVv0mvinpjOiwyEO7rYqv2rnY7x0UJjqsK4J1YVv7pqzFgFDRYZnOpqQzlrH/NUMK7x9s3hxkLWUMGwCBmLRE5G2PjYzQP9qrvYmHJJwSHRZ5KOpIjn7d3p23G7Ki4o5+Khdz84Joq3Nr/bF8RWWV6NBM5dd9J20WSqvNwaoqc+Ygaylj2AAIxKQlIm+rHdvca0mcfhNfsTdTdFjkodCD2fp1+2LZfv2fSysqRYfm98IOWZ5sW6+XUVBSLjo0U1m6+4R+boattywseLnUnAsKspYyhg2AQExaIvK2uwdoH/8qvybqN+5FO46LDos8tGa/5enroLWH9H/OL2aR2lAhCaf08zl0fZL+zzkFJaJDM5UF24/r52b6llTLebpkzvPEWsoYNgACMWmJyJsqKqv0m/WY0BT9n2dvTRcdGnno512Wp68TNx1hkepFK/Zm6udzaqSlsM3IvSw6NFOZvTVdPzfWbwPMep5YSxnDBkAgJi0ReVNhaYVN0V/7z5M2HxUdGnlo3rZj+nWzfhKbeZ6rOTfU4tgM/Xwusfrnw9kFokMzlSkRluZoo9WQNLOuJ8Jayhg2AAIxaYnIm3KtVpFdHJuBewZpc3iP3nhYdGjkoWlWT6Z/i7cMB0o9y9WcG2pujKUp3pB4Wv/nfScuig7NVMaGaW8P7x6wEdtSz+nnac9xc64nwlrKGDYAAjFpicibsi5YVvBcGZeFNsM2QVZUDAk5JDo08tAPVsXX5uSz+vU8eNKcT1/9ifWwnx1puTb/TBbDN2gf/rYaEo79VmsnRB3JER2aQ6yljGEDIBCTloi8yXoV2XUHTuPxmoWk+qw+IDo08lDwOu3j1NbB4TZPX7mac8PVPtlu3n+jzYJrm5PPig7NVAauPQhZUfHI8M04cuaSzVsTM2ItZQwbAIGYtETkTQdP5tsUNc+Oj4asqPhyebzo0MhDfVdrsze1HRmBvRkX9Ou5LZWrOTdU7ZPt+weH2TXLZNF71QHIirYStc1bxb1ZokNziLWUMWwABGLSEpE31S0YX6pZSfbjxXGiQyMPfbVcW3ip07gou4aOGmbAb9qT7YeHb8bJi5bClutk2KrNwWfGRyPnUonlw+ldJ0SH5hBrKWPYAAjEpCUib4o5ahkyEpdxAa/P3AFZUfHe/N2iQyMPfbxYW8DtxckxOHrW8pR6PZ9SN9j/VlqebF+4XMZ1MpyoXUTwxckxyC8q18/T/O3mPE+spYxhAyAQk5aIvCk8ybLS6aFT+Xhn3i7Iiop/z9opOjTy0LvzdkNWVLw+cwcyz1ueUq+KM+fwC3/yec3Kys+Oj0ZxWaV+bmdGp4kOzVR6LNwDWVHRZfp2m/M0K9qc64mwljKGDYBATFoi8ibrlU7Tcgrx0U97ISsqXp66TXRo5KE3Zu2ErKh4Z94u5BRYhl/8bNLhF/7ko5+0J9svTdmG6upqmwXXyKL7XO3BQdfZsaisspynyRHmXE+EtZQxbAAEYtISkTdZr3R6Kq9Yf+L53IRo0aGRhzrXfLfx0U97kV9sGX4xb9sx0aH5vffma29X/jVzBwDg3kFhkBUVIzYkC47MXOoOHWzefyNkRcXYsBTBkTnGWsoYNgACMWmJyJt+2mlZ3fR8YSm+r5nN44kxW0SHRh56xmrmptIKy/CLGVEcptJQb87W3q50mxsLAHhk+GbIiooBvx0UHJm5vDzV0oQC5m+UWEsZwwZAICYtEXnT7K2WlU6LyiowaO0hfdYT8g/tR1nWbqiursYd/bTrOYHDVBrsn9O2Q1ZU9Fi4BwDwxJgtkBUV361IEByZuTw/cStkRcXnS/cDAB4cqi0oONikCwqyljKGDYBATFoi8qbJEUf1BqCqqhojVW3e8/sGh4kOjTxUW2zVrt58z6BQyIqKkao5n776kxdqCttPluwDADw3Idqm0CXNU2O1xujbmsao7cgIyIoK5ddEwZE5xlrKGDYAAjFpicibRocehqyoaDEwFAAwcdMRyIqKO/qpqK6uFhwdeaK24B+18TAAoM0wrSEYtNacT1/9ScexUZAVFd/8oi2M9+LkmJqhLlwnw1rdgv/JH8z9poS1lDFsAARi0hKRNwWvS4KsqHggOBwAMDM6TX8jUFJeKTg68sSdNUN+xodrQ36shwRRw9QtbLtM14YEfbBgj+DIzKXuW6hna9+ULDPnmxLWUsawARCISUtE3tR3dSJkRUW7UREAgAXbj+sNQF5RmeDoyB3rKRenRKQCADqN055af7U8XnB0/u+B4HCbwrb2o+Duc3cJjsxc6r6Fqn1TYtYVxVlLGcMGQCAmLRF501fL4yErKp4eFwUAWL7HMi1odn6x4OjIHUeLLtUWXz1NWnz5kxYDtcJ2dE1h+/aPXCivLkcfnte+KXnfpG9KWEsZwwZAICYtEXlTz8XaQkcvTo4BAKzZf1IvKE+cvyw4OnInv8gy7//87ccBAF1m7DB18eUvbBb+2qwtaFW74u2r07cLjs48yiur9PM0fYv2Fqru9Klmw1rKGDYAAjFpicib3l+gFTRdagqaDYmn9Zt56tlLgqMjd85dKtWv15LYDABA1zmx2qqsc8xZfPmLknLL25WZ0dqaCnUbZgIKSyv08/RjjLb43DvztDclr9csoGY2rKWMYQMgEJOWiLyp+1ztRv3mbG1IQ3jSGf1mnnQ6X3B05M6pvGL9eq3YmwnAvqkjY/KKyuzertSulP0sV8rWnS+0NKGLa5rQ/9S8KXll2jaxwTnBWsoYNgACMWmJyJvemKW9qn9nnvZRY1RKjn4zT8jKExwduXM897J+vdbsPwnA8pT6H5P4lLohzuSX6Od26e4TAIDvViRAVlQ8+QNXyq512kET+smSfZAVFX+ftFVwdI6xljKGDYBATFoi8qZXp9uudLojLVe/me85fkFwdOTO0bOX9Ou1IfE0AMuH3Z1qPuwmYzKsmqtf92nNVe2sWW1HRgiOzjysm9C18acAmD8HWUsZwwZAICYtEXlT3Rlj9hy/oN/Md6TlCo6O3Dl0Kl+/XpuSzgAA+qw+AFlR0X5UpODo/NuRM5bmSk3MBgAMWnsIsqLioWGbBEdnHilnCvTzFHpQO0/fr9JysMNoc+Ygaylj2AAIxKQlIm+qu2BPfOZF/WYedSRHcHTkzr4T9tdr4NqDkBUVDw/fLDg6/5Z4Mk8/t5uTzwIAhm9IhqyouH9wmODozONAluU8bUnRzlP/37QcfHSEOXOQtZQxbAAEYtISkTc9NXYLZEXFtysSAABJpy1PlMNrniiTee06dl6/Xjtr3tgMXa+t7tx6SLjg6PzbvhOWt2Fbj54DAIwJTYGsqGgxIFRwdObh6K1h7QrjZs1B1lLGsAEQiElLRN7UflQkZEVF39WJAIBUB2PKybxijp7Tr1dchvbNxuiNhyErKloOZJHaELHpVs1VulbYTtx8VN9WXV0tOEJz2JbqPAdbmDQHWUsZwwZAICYtEXnTI8M3Q1ZUDFx7EABw4rz9rDJkXpGHz+rX60DNrE3jw49AVlTc2U8VHJ1/s26u9p3QCtsZUWn6ttKKSsERmkNEsiUHE09qOThh0xFTN0qspYxhAyAQk5aIvKn1kHDIioqh67X/pjia0o/MK/Rgtn69DmcXAACmRqbq2yqrzFd8+Qvr5qq2sJ0bk65vKyytEByhOaiJlhw8ckZbPHD6FksOllVUCY7QHmspY9gACMSkJSJvajkwFLKiYnToYQB1VpbddUJwdOROSMIp/XqlnysEAMyKthSpJeV8Sm1U2CH75mrRjuP6tguXywRHaA5r9p/Uz0lG7mUA5m+UWEsZwwZAICYtEXnTnf20m/SETUcAAPnF5Xarn5J5rYrL0q9X1oUiAMC8bcf0bQUl5YIj9F/rDpzWz2NajtZcLd19Qt92Jr9EcITmsHxPpn5OsvOLAZi/UWItZQwbAIGYtETkLRWVVfpNempkKgCguKxS3zZ7a7rgCMkd64L0bIFWkC6OzdC35RaWCo7Qf/26z/JkO/O81lw5argCnaNif9nuTFM3SqyljGEDIBCTloi8xVGxb90UTKtpCsi8FloVXxdrii9HT2Sp/hydR+shV7VvBQLdnK32w31WO2iezIS1lDFsAARi0hKRtzgb7lN3WBCZl6Ox1mYvvvyFozcpjj66DnSOPvi1Hj6VevaS4AjtsZYyhg2AQExaIvIWmw9+YzP07XU/DCbzclR88Sm1d1h/S5FfrH1L4Wja1UA3ycHaCGGHzujbDp3KFxyhPdZSxrABEIhJS0Te4mzKz7pTg5J5TXQw37qj2Wuo/qxnUyou02ZTsl70am/NoleBbmyYtjry3QM26tuiUnL087Q/86LA6BxjLWUMGwCBmLRE5C3OFv2quzgYmdeYUK34ajHAsuKqo/nrqf6s11OoqNTeruw6ZrU6cFqu4AjNYaSaDFlRce+gMH3bzrRc/TztOnZeYHSOsZYyhg2AQExaIvKW1LOX9Jv0+gOn9e3tR0VCVlT0XZ0oMDryxLD1WvHVaki4vs16Bds4PqU2rHY1W+sVlfdnXtTPbdSRHIHRmUfwuiTIiooHgi05GIY3jzgAACAASURBVJdxQT9PMUfPCYzOMdZSxrABEIhJS0TeknQ6X79Jhyed0bc/NXYLZEXFtysSBEZHnhi49iBkRcVDwzbp22LTrZ5Sp/MptVGjQw9DVlS0HGh5u3LolOP/zwSy/r9pOfjoiM36tsSTefp5ikg+KzA6x1hLGcMGQCAmLRF5S0KW5SYdlWJ5mvnchGjIiorPl+0XGB15ou/qRMiKinajIvRt+05Ynr5uNeHTV39R+3altdXblaNWb802JJ528duBo8/qA5AVFY+PjtS3pZwp0M/TxoPZAqNzjLWUMWwABGLSEpG37DluKRS3p1qeFL84OQayoqLn4jiB0ZEnvl2RAFlR8dTYLfo2sz999ReD1h6CrKh4eLjlyXZGruPvZgJZbQ52HBulbzt2rlA/T2vjTwmMzjHWUsawARCISUtE3rLD6kO9PcctY8W7TN8OWVHRY+EegdGRJz5fth+youLZCdH6Nuunr6EmfPrqL5Rf7d+unHIyc1Ygq83B56xy8OTFIlOfJ9ZSxrABEIhJS0TeEnXEMlVfvNVUff+etROyouKdebsERkee+HhxHGRFxYuTY/Rt6VZPX0MSzPf01V98V/Nk+8kfLG9XnK2dEch6OsjBnEslpj5PrKWMYQMgEJOWiLwlPMnxYj3d5+6CrKh4c/ZOgdGRJz5YsAeyoqLL9O36tqwLlqevq/dxmIpRX9S+XRkfrW+zXj173rZj4oIzkf8s1HLwn9MsOWj288Rayhg2AAIxaYnIWzYkntZv0qlnL+nb9aJyxg6B0ZEn3v5Ra9b+PcvSrJ3Jtzx9XbbbfMMv/EWvJdqT7X9MsjzZLi6r1M/trOh0gdGZx7vzdkNWVLw+0/Lfi5Jyy3maGZ0mMDrHWEsZwwZAICYtEXnLb/En9Zt0Ru5lfftHP2mFT+cp2wRGR56oHa719o+W4VrnCy3DVH7amSEuOD/330V7ISsqXplm+f9BZVW1fm6nRKQKjM483poTC1lR8dacWH1bRWWVfp6mRprvPLGWMoYNgEBMWiLylhV7M/Wb9Km8Yn37Z0v3QVZUPD9xq8DoyBOvOvhgu6DE3MMv/MV787Un2/+aafsm7M5+2rkdH35EUGTm8vrMHZAVFe/N361vq662NEoTN5nvPLGWMoYNgEBMWiLyliW7Tug36XOXSvXt3/wSD1lR8fS4KBe/TWZQO2Xrx1ZTtpp9+IW/cPRkGwDuGRQKWVExauNhQZGZyz+naU3ofxfttdneYoB2nsaEpgiKzDnWUsawARCISUtE3rJg+3G9UMwvKte3915lv7APmdOzDhZt4zAV73D0ZBsAHggOh6yoCF7H+zDgfN2Q+waHQVZUjNiQLCgy51hLGcMGQCAmLRF5y+yt6XqhWFRWoW/v/9tByIqKR0dsdvHbZAZP/rAFsqLiuxUJNtub99/IYSoN5OzJ9qMjNkNWVPT/7aCgyMzFURMKmLtRYi1lDBsAgZi0ROQt0yJT9QagorJK3x68LgmyouKB4HCB0ZEn2o2KgKyo6Ls60WY7h6k0XO2T7V5LbJ9sdxgdCVlR8f2qA4IiM5enxmpN6Ld1mlAzN0qspYwJuAagtLQUffv2xa233oprrrkG7dq1w+bNnj0Zi4iIwDPPPIObb74Zf/zjH9G2bVssWbLEcCxMWiLylombjkBWVNzRT0V1dbW+fdTGw5AVFfcMChUYHXnioWGbICsqBq09ZLO9tYmfvvqL2ifbX9R5st1pXBRkRcVXy+MFRWYuj9c0RH1W2zZE7Uc53m4GrKWMCbgGoHv37mjSpAl69+6NuXPnokOHDmjSpAm2b9/u8vfWrVuHoKAgPPHEE5g+fTpmzJiBp59+GpIkYdKkSYZiYdISkbeMCU2BrKhoOdC20B8Xrm1v3n+joMjIU62GaIX+sPW246wfGa49fR1gwqev/sLZ8KoXJm6FrKj49Od9giIzl9on/XVzzdn5MwPWUsYEVAOwZ88eSJKE8ePH69tKSkpw1113oUOHDi5/9+9//ztuu+02lJZaZteoqKjAXXfdhQcffNBQPExaIvKWYeuTISsqWg+xHeozJcIyNKiyqtrJb5MZOJtpxcxPX/2Fs+FVL0/dBllR8WGdbwMClbOx/s+Od/wGxQxYSxkTUA1Anz590LhxYxQUFNhsHz16NCRJQlZWltPfbd++PVq1auVwe/v27Q3Fw6QlIm8ZtPYQZEXFw8NthzTOjE7TG4CS8kpB0ZE7NnOtbz5qs6/j2CiH47LJcw/XvEUZuNb2yfZrMxzPDhSo7h2kzfYzUrV9C/X3Sdqbkk+WmO9NCWspYwKqAXjhhRdw33332W2PjIyEJElYv369099VFAWSJGHQoEFIS0tDeno6hg8fjsaNG2PNmjWG4mHSEpG3KL8mQlZUtB9lO93nvG3H9MKyoKTcyW+TaGUVltVWp2+xne7zOSczs5DnWtcMrxq63vZ+23W2tj5At7mxTn4zsNxVM+PU2DDbt1Cdp2hvSj76yXxvSlhLGRNQDUCrVq3w3HPP2W1PTk6GJEmYM2eO09+9fPky3nrrLQQFBUGSJEiShKZNmyIkJMSjPzsnJwdJSUk2PyEhIUxaIvKK71YkQFZUPDV2i832xbEZemGZW1jq5LdJtMulFfp1mrM13Wafs7nZyXMtB2rDq0bXmUnpnXm7ICsq/j1rp6DIzMP6LdSkOm+hutSsUv3Bgj1OflscNgDGBFQD0Lx5c3Tu3Nlu+7FjxyBJEiZPnuz0dysqKjBo0CB07doVv/zyC5YuXYqnn34a119/PXbt2uX2zw4ODtYbh7o/TFoiaqgvlu2HrKh4dkK0zfblezL1m3p2frGY4Mit/KJy/TrN337cZt+rNcVXj4XmK778xZ39tHM7YZPtWgofLNgDWVHRZbrriUACgfVbqBlRtqtO/3vWTsiKird/dF/v+BobAGMCqgFoyBuATz75BG3atEFVlWV+7fLycrRo0QLt2rVz+2fzDQAR/Z56LYmDrKh4cXKMzfZf953Ub+qZ54sERUfu5BaW6tdpcWyGzb43aoqvd+aZr/jyB9arKU+NtB1e9dFPeyErKjpP2SYoOvOwfgs1N8b2LVS3udpQqa6zzTdUig2AMQHVABj9BqCsrAxNmjTBgAED7PZ9/fXXaNSoEcrKyuodD5OWiLzlPwu1J5mv1nmSue7Aaf2mnpZzSVB05M6Z/BL9Oi3bnWmzz8zFlz8oKa/Uz+2saNvC9tOf90FWVLwwcaug6Mwjr6hMP08Ld9i+hXpv/m7Iiop/zdwhKDrnWEsZE1ANQO/evR3OAjRq1CiXswBlZ2dDkiQoimK377PPPoMkSSgurv+rdSYtEXnLu/O0G/QbdcYyhx3K1m/qyacLnPw2iZZ1oUi/TqvibO9F79cMU3lthvmKL39QUGIZXjVv2zGbfV8uj4esqHhmfLSY4Ewk55KlCV2y64TNvv8u0t6UvDLNfG9KWEsZE1ANwO7du+3WASgtLcXdd99tM5VnZmYmUlIsX8BXVlbixhtvRMuWLW2e9BcWFuKvf/0r7r33XkPxMGmJyFu6ztGeEnefaztMZEvKWf2mnpCVJyg6cufYuUL9Oq2NP2Wzr3aYystTzVd8+YPzLoZX1X48/+QPWxz/cgA5lVesn6cVe23fQvVc7HiIoRmwljImoBoAAOjatSuaNGmCPn36YO7cuXjiiSfQpEkTxMRYkrpTp06QJNtTM3LkSEiShIcffhiTJ0/GhAkTcN9990GSJCxdutRQLExaIvKW2vnM368zS0fM0XP6TT0u44Kg6Mido2cv6ddpQ+Jpm321w1T+PonDVIywHl61fI9tYdt3tTZ9brtREYKiM4+M3Mv6eVqz/6TNvs+XapMMPFdnkgEzYC1lTMA1ACUlJejduzeaNWuGq6++Gm3btkV4uO3KmY4aAABYtmwZ2rVrhxtvvBHXXnst2rdvj19//dVwLExaIvIWZyuaxqaf12/qsennBUVH7iSdztevU9ihMzb7vqoZptJpXJSg6Pxb5nnL8KrV+2wL2wG/HYSsqHikzgJ6gSgtx9KErj9g24R+/YuWg0+bMAdZSxkTcA2AmTBpichb/jEpxuFKnXEZF/SbeszRc4KiI3cSsvL067Ql5azNvv+tPABZUfHEGA5TMSItxzK8KiTBdnhV8LokyIqK1sHhTn47cCSfLnDahH6/SsvBDqMjnfy2OKyljGEDIBCTloi85dma1WK/qLNarKvCkszDVaPWb402TOWxkRymYsThbEthG3ow22bfSDUZsqLi3kFhgqIzjwMu/lth5hxkLWUMGwCBmLRE5C0dx0ZBVlR8uyLBZruroSVkHtZDtXam59rsGxxyCLKios2wTYKi82+JJy2FbUSybWH7Q1gKZEXF3QM2CorOPFw1oYPWajn4kAlzkLWUMWwABGLSEpG3PD46ErKios/qAzbbXX1cSuaxLdXysfbeOh9rj9igPaW+fzCfUhux74Tzwnbi5qP6vurqakERmsPO9Fyn3wsNW6/lYKsh5hsqxVrKGDYAAjFpichbHh0RAVlR0f+3gzbbj1vN7FF3ekkyj6iUHP06xWdetNnHp9QN4+pD+GmRqfq+8soqQRGaw1arGcP2nbBtQkdvPAxZUdFyYKig6JxjLWUMGwCBmLRE5C1thm2CrKgYEnLIZrv1AlMr4xwvdkjihSed0a/ToVP5NvsmbjrCp9QN4Goq3Nlb0/V9RWUVgiI0h8jDljVDEk/arhkyLlxrQpv3N18TylrKGDYAAjFpichbWg0Jh6yoGL4h2Wa79Rzoy3ZnOvltEk1NtKzYfOTMJZt9U62eUlcE+FNqI6wL2wN1FsObt+2Yvi+/uFxQhOZgvWr44WzbVcMnR1iGSlVVmasJZS1lDBsAgZi0ROQtLQaGQlZUjA49bLPdehXUn3ZmiAmO3ApJOKVfp/RzhTb7ZkVbnlIXl1UKitB/hR2yvF1JOm37duWnnRn6vvOFpYIiNId1B07r5yItxzYHZ0Sl6ftKK8yVg6yljGEDIBCTloi85c5+2s15wqYjNtvzi8v1G/e8bccERUfurN53Ur9OmeeLbPZZP6UuKAnsp9RGbEi0FLZHz9q+XVm2O1Pfdya/RFCE5vCrVQ6eOH/ZZt8cq6FSl0vNNVSKtZQxbAAEYtISkTdUVVXrN+cpEak2+4rLKvV9s6LTBUVI7izfYylEs/OLbfYt2nFc33fhcpmgCP3X2njL25Vjdd6urIzL0vdlXShy8m8IDL9Y5eDpPNscnL/dkoP5ReZqQllLGcMGQCAmLRF5Q2mFpcifEZVms6+8skrfNy0y1cm/gURbEmsZinLuku1QlJ93ndD35RQE9lNqI1wV+dbNwfHcy07+DYHBVQ662icaaylj2AAIxKQlIm+4XFqh35znxtg+5a+utrwdmLj5qKAIyZ0FVk9Y84psn/Kv2Gt5MnvyYmA/pTbC1TAfV8ODAs0CF0/5Xb2hEo21lDFsAARi0hKRN+QVlek35wXbj9vtv3vARsiKih/CUgRER56YG2MZY11YZ4z1mv2WsdkZAf6U2ojFVk+vc+t86OvqA+FAM8fFlKirTDxUirWUMWwABGLSEpE3nLtkmelnya4TdvvvHRQGWVExUk128NtkBq5mWbGdnSWwn1Ib4Wr8+pYUyxShCXWmCA0007c4XxTN1SxVorGWMoYNgEBMWiLyhuz8Yv3m/Mse+7n+HwjW1ggIXsf/1piVq3nWQw86n5+d3HM1g42rRcICzcTNlhysu+Ccq3UqRGMtZQwbAIGYtETkDdar/a7ed9Ju/yPDN0NWVAz47aCA6MgT48O11X7v7Kfa7ducbHlKffBkYA9TMcL6yXZZhe2T7Z3pufq+2PTzgiI0hx/CtNV+7x5gv9qvq5WqRWMtZQwbAIGYtETkDcfOFeo355CEU3b724+KhKyo6LP6gIDoyBOjQw9DVlS0GBhqty/6SI5+ffeduCggOv82ycWT7biMC/q+mKPnBEVoDiM2JENWVNw7KMxuX1SKJQfjM82Vg6yljGEDIBCTloi84ciZS/rNWU3Mttv/5A9bICsqvluRICA68sTwmuLr/sH2xdeONMtT6t3HAvsptRHjwrUn28372z/ZTsjK08/tlpSzAqIzj+B1SZAVFQ8Eh9vt25ZqGSq112RDpVhLGcMGQCAmLRF5w6FT+frNeVPSGbv9z46Phqyo+HJ5vIDoyBODQw5BVlS0GbbJbt/uY+f167sjLVdAdP5t9Ebt7UpLB29Xkk5b/r8Tdsj+/zuBZMBvByErKh4ZvtluX2y6JQd3ppsrB1lLGcMGQCAmLRF5g/VTzKiUHLv9f5+0FbKi4pMl+wRER57ot0Yrvh4dEWG3b9+Ji/r1jT5if33JtaHrtSfbrYfYP9k+etby9mxD4mkB0ZlH39WJkBUV7UbZ56CZh0qxljKGDYBATFoi8gbrm/O2VPubc+cp2yArKj76aa+A6MgTvVcdgKyoeHx0pN2+xJOWBm9zcmAPUzFi0Frt7cpDDt6uWH8/szbe/vuZQPLdygTIioonxmyx23fA6iFD5GFz5SBrKWPYAAjEpCUib3A3k0mXGTsgKyreX7BHQHTkiW9XaMXXU2Pti6/D2QX69Q09aP+NB7nWb432ZPuxkfZPtq1n0FoZlyUgOvP4ank8ZEVFp3FRdvvMPFSKtZQxbAAEYtISkTdYz2W+74T9B3r/nrUTsqLi7R93CYiOPPHFsv2QFRXPToi225eWYxmmsu5AYA9TMeL7mrcrHRy8XTmTX6Kf22W77dfQCCSfLd0HWVHx/MStdvvMPFSKtZQxbAAEYtISkTdYr2Z6wMFqpt3n7oKsqOg6O1ZAdOSJXkviICsq/jEpxm5fRu5l/fqu2W+/zgO59s0v2pPtjmPtn2yfL7Ssor04NsP3wZnIx4u1HHxxsn0OHrfKwd/izZWDrKWMYQMgEJOWiLzBepGepNP2i/S8N383ZEXFazN2CIiOPPHhor2QFRUvT91mt+/kRathKnsDe5iKEZ8v1d6uPOfg7Up+cbl+budtO+b74Eykx8I9kBUVr07fbrfPzEOlWEsZwwZAICYtEXmDmpit35yPnr1kt7+2uHxlmn1xSebw/gKt+OrioEnLKbAMU/l51wkB0fm3ni6ebBeVVejndvbWdAHRmce787QHBa/PtM9BMw+VYi1lDBsAgZi0ROQNa+NP6TfnY+cK7fa7Gl5C5vD2j9owrX/P2mm378LlMv36LtpxXEB0/u2/Lhrg8soq/dxOi0wVEJ15vDUnVhsqOMd+qGCuiYdKsZYyhg2AQExaIvKGVXFZ+s0560KR3f7PXXxgSubw5mztQ+3uc+0/1C4o4TCVhnA1BK66ulo/txM3HxUQnXm8UTNZwDvz7HPQzEOlWEsZwwZAICYtEXnD8j2Z+s35TH6J3X5XU0ySObxWM1Xre/N32+0rLqvUr++s6MAepmJEt7nak+03Z9u/XQGAu/pvhKyoGBuW4uPIzKXL9O2QFRUfOJgu2MxDpVhLGcMGQCAmLRF5w5LYDP3mnFtYarff1SJTZA6vTNMWa/vvIvvF2iqshqlMDfBhKka4mwb33kFhkBUVI9VkH0dmLq4WDCyrsOTg9C3mykHWUsawARCISUtE3rBg+3H95pxfVG63v/9vByErKh4dYb8QEpnDi5NjICsqei6Os9tnM0xl0xEB0fk3dwvhtQ4Oh6yoCF4X2Pfiv0/aCllR8cmSfXb7zDxUirWUMWwABGLSEpE3zNmart+cL5dW2O0fEnIIsqLiwaGbBERHnnhuQjRkRcXny/Y73H/3AG2Yyg8BPkzFiJenak+2P3TwdgUAHhm+GbKiYsBvB30cmbk8O17LwS+c5KBZh0qxljKGDYBATFoi8oYZUWl6A1BWUWW3f/iGZMiKivsHhwmIjjzRcWwUZEXFN7/EO9zPYSrG/WOS9nal1xL7tysA0G5UBGRFRd/ViT6OzFyeGrsFsqLiuxUJDvffMygUsqJi1MbDPo7MNdZSxrABEIhJS0TeMDniqN4AVFdX2+0fE5oCWVHRYkCogOjIEx1GR0JWVHy/6oDD/RymYpy7J9tPjKkpfFc6LnwDRftRWg72We1fOchayhg2AAIxaYnIG8aHH4GsqGjef6PD/RM2afvv6Kf6ODLy1GMjtafQ/dY4fgrNYSrG1T7Z/tbJk+1nahqEL5c7fvsSKB4doeVYfyc59nBNDg5ca64cZC1lDBsAgZi0ROQNozcehqyoaDnQ8RP+qZGp+huCyir7NwQk3kPDNkFWVAwOOeRwP4epGPd4zduV3k7errwwUfv49dOf7T9+DSQPDtVycIiTHGxb06Qqv5orB1lLGcMGQCAmLRF5w7D12hj/VkPCHe6fGW35RqCkvNLH0ZEnWg3RhlcMW+94jD+HqRj36IjatyuOn1xbpr90/I1AoLh/sPadyfANrnPwfysdN1KisJYyhg2AQExaIvKGwTWz/Dw0zPEsP/O2HdMbgEsl9tOEkngtB2ofWI528oFlp3HaR8JfBfgwFSPauHm74moBrEDSojYHQ/0rB1lLGcMGQCAmLRF5Q7812jz/j410PM//oh2WdQIuXC7zcXTkieY1UyyOC3c8xSKHqRjn7sn2GzULhb0zz/FCYYHizn7afyPGhztea+L5mhz8bKm5cpC1lDFsAARi0hKRN9Su9NvByUq/P+86oTcAOQUlPo6O3LFeZGmSk0WWXuIwFcPcPdnuNjcWsqKi6+xYH0dmHlVVlhycHOE4B2sXq/vYwWJ1IrGWMoYNgEBMWiLyhm9+iYesqOg4Nsrh/pV7s/Sb+8mLRT6Ojtwpq6jSr8+MqDSHx7xaM0ylx8LAHqZihLsn2+/N3w1ZUfGvmTt8HJl5lFZU+m0OspYyhg2AQExaIvKGz5fth6yoeHZCtMP9a/af1G/uGbmXfRscuXW5tEK/PnO2pjs85vWZOyArKt6dt9vH0fm3Sg+ebP9n4R7Iiop/Ttvu4+jMwzoH58b4Vw6yljKGDYBATFoi8oZeS+IgKypenBzjcP/6A6f1m3taziUfR0fu5BeV69dn/vbjDo/pOkcbpvLWnMAdpmJESbn7J9s9F7v+/08gyCsq08/TAj/LQdZSxrABEIhJS0Te8OGivZAVFa9M2+Zwf9ihbP3mnny6wMfRkTu5haX69Vkcm+HwmHfnacNUXg/gYSpGFHrwZPvzpdobtOecvEELBOcuWXJwiZ/lIGspY9gACMSkJSJveH+BNoThtRmOb8yRh8/qN/fEk3k+jo7cOZNfol+f5XsyHR7To2aYyqvTA3eYihGePNl29w1NIMjOL/bbHGQtZQwbAIGYtETkDd3n7oKsqHhz9k6H+7cePaff3PeduODj6MidrAtF+vVZFZfl8JiPftKGqbw0xfFbHnLMkyfb37uZRSsQ+HMOspYyhg2AQExaIvKGN2dr85i//aPjecx3puXqN/ddx877ODpy59i5Qv36rI0/5fCYT3/eB1lR8cLErT6Ozr958mS735pEl+toBAJ/zkHWUsawARCISUtE3vDaDG12jvedrGS6N+OCfnPflnrOx9GRO0fPXtKvz4bE0w6P+Wq5Nkyl07jAHaZiROZ5y5Pt1ftOOjymdiXtNk5W0g4E1jmoJmY7PMasOchayhg2AAIxaYnIG16Zpi0S9eGivQ73x2de1G/uUSk5Po6O3Ek6na9fn7BDZxwe893KBMiKiifGbPFxdP4t3erJdkiC4yfbw9YnQ1ZUtBoS7uPozMM6B8OT/CsHWUsZwwZAICYtEXnDPyZpK3T2WuJ4hc5Dpyw3901Obu4kzoGsPP36bEk56/CYvqu1YSrtRgXuMBUjjpxx/2R7dOhhyIqKlgNDfRydefhzDrKWMoYNgEBMWiLyhmcnRENWVHy+bL/D/Z4UQSROnNUQrZijjodoDfjtIGRFxSPDN/s4Ov9m3fw6e7I9PvwIZEXFnf1UH0dnHvtOuM/BgWu1HHzYZDnIWsoYNgACMWmJyBs6jo2CrKj4dkWCw/3HPBgGQeLEpp/Xr8/O9FyHxwSvS4KsqGgdHLjDVIxI8ODJ9uSIo/oxlVXVPo7QHPw5B1lLGcMGQCAmLRF5Q4fRkZAVFb1XHXC435Mp/kicbamWaVr3ZjiepnWkqo1Tv3dQmI+j82+efAA/IypNP6akvNLHEZqDP+cgaylj2AAIxKQlIm94bGQEZEVFvzUHHe73ZCpEEicqJUe/PglZjhdq+yEsBbKi4u4BG30cnX/bmW6ZAjc23fEUuHNj0vVjCksrfByhOVjnYHzmRYfHmDUHWUsZwwZAICYtEXlDm2GbICsqBocccrg/t9D9YkgkTnjSGf36HDqV7/CYiZuO6MdUVwfmMBUjYqwWwYtz8mR7wfbj+jF5RWU+jtAcNnmSg5uPmjIHWUsZwwZAICYtEXlDqyHhkBUVw9YnO9yfX1Su37jnbz/u4+jIHTUxW78+R85ccnjM1MhU/ZiKyiofR+i/tqScdft2ZcmuE/oxOZdKfByhOWw86D4Hp1nlYLmJcpC1lDFsAARi0hKRN7QcGApZUTE69LDD/UVlFfqNe87WdB9HR+6EJJzSr0/6uUKHx8yKtgxTKS4LzHHqRoQdcv9k+5c9mfoxp/OKfRyhOfhzDrKWMoYNgEBMWiLyhub9N0JWVIwPP+Jwf1lFlX7jnr4l1cfRkTur953Ur0/WhSKHx8zbdkw/pqCk3McR+q8Niaf183b0rOMn279anf8T5y/7OEJzsD4Hmefd52B+sXlykLWUMWwABGLSElFDVVVV6zflyRFHHR5TXW05ZtJmx8eQONZPoLPzHT+BXrTDMk79wuXAHKduxNp4y5PtY06ebFs//U7LcXzMlW7FXvdvQX7amaEfc76w1McROsdayhg2AAIxaYmooUorKvWb8oyoNKfH3VXzlmBsWIoPoyNPLIm1FFbnLjkurH62HqdeEJjj1I1YFZflJJQJLQAAIABJREFU9u2K9fj3lDMFPo7QHH724DuIpbstx5w1UQ6yljKGDYBATFoiaqjLpZ6N779nkPadwKiNjr8TIHE8mYXG+gntyYuOC1myt9yDtyubky0fCh886fg7gSvdQqs3TBedvGFa6UEzJQJrKWPYAAjEpCWihrKe4WeBixl+WgdrMwUNXc//3piNJ/PQr9lvGaOdkRuY49SNWGz1diXXybCVqCOWOfD3O5kD/0r3Y4xlfP8lJ9+Y/BZvycHjJspB1lLGsAEQiElLRA3l6Rz/Dw/fDFlRMXCt48XCSBzrlWhLKxzPrrLugOVj1rQcxx+zkr35Vm9X8oscF7Y70iyLhe0+5nixsCvdzGj3qyGvt8rBVCcfVIvAWsoYNgACMWmJqKE8XeW33ShttWDl10QfRkeemBxhWWCpqsrxAkuhVuPUD2cH5jh1I+Zstbxduezk7cruY+f1Y3ak5fo4QnOwXmei0kkOhh2y5GDyafPkIGspY9gACMSkJaKGyrpQpN+UV8VlOT3uiTFbICsqvluZ4MPoyBPjw7VVfu/spzo9huPUjfHk7cq+Exf1Y6KP5Pg4QnOoXWn6Dhc5GHnYkoMHnCyqJgJrKWPYAAjEpCWihjp2rlC/Ka+NP+X0uE7joiArKr5aHu/D6MgTo0MPQ1ZUtBgY6vSYaKtx6vtOBOY4dSM8ebty8GS+fszm5LM+jtAcfghL0XJwgPMc3Hr0nFUOXvBhdK6xljKGDYBATFoiaqijZy/pN2U1MdvpcS9M3ApZUfHZ0n0+jI48MXxDMmRFRash4U6P4Th1Y8aFa4Vt8/4bnR5zOLtAP7ehB53/f+hKNlLVcvC+wWFOj9lplYO7TJSDrKWMYQMgEJOWiBoq6bTl6WV40hmnx700ZRtkRcVHP8X5MDryxJCQQ5AVFW2GbXJ6DMepGzN6o/Z2paWLtytpOZa3aOsOnPZhdOYRvC4JsqLigWDnTejejAv6edqWes6H0bnGWsqYgGsASktL0bdvX9x666245ppr0K5dO2zevNnj31+xYgUef/xxNG3aFH/84x/RoUMHbNmyxVAsTFoiaqiErDz9prwlxfnwhS7Tt0NWVPRYuMeH0ZEn+q05CFlR8eiICKfHcJy6McPWu3+7cuL8Zf3c/rrvpA+jM4+Ba7UcfGS483ooPtOSg1Ep5slB1lLGBFwD0L17dzRp0gS9e/fG3Llz0aFDBzRp0gTbt293+7vBwcEICgpC165dMWfOHEyfPh2ffPIJlixZYigWJi0RNVSc1VO5mKPOn8q9MWsnZEXFO/N2+TA68kTvVQcgKyoeHx3p9JjEk5ZGL1DHqRsx2IO3K6fyLDNprdjrfCatK1nf1YmQFRXtRjlvQg+dsrxt3OTibaOvsZYyJqAagD179kCSJIwfP17fVlJSgrvuugsdOnRw+bu7du1CUFAQJk2a5LV4mLRE1FCx6ZahIbHpzsfldpsbC1lR0XVOrA+jI098uyIBsqLiqbHO3yZznLox/dZohe1jI50XtjmXSixraew64cPozOO7lVoOPjHGeQ4eOePZ90a+xlrKmIBqAPr06YPGjRujoMB2/trRo0dDkiRkZTmfQq9bt2649dZbUVVVherqahQWFjY4HiYtETXUtlTLzBxxGc5n5nhv/m7Iiop/zdzhw+jIE18s2w9ZUfHshGinx6TlWIqvQB2nbsT3NW9XOrh4u3Lxcpl+bhfucL6a9pXsq+XxkBUVz4yPdnpMutWMYyEJzmcc8zXWUsYEVAPwwgsv4L777rPbHhkZCUmSsH79eqe/e8stt6BLly6YPHkybr75ZkiShGbNmmH69OmG42HSElFDRaVYpodMcDE3938W7oGsqPjnNPfDHcm3ei2Jg6yo+MekGKfHZORaxqmv2R+Y49SN+OYXrbDtODbK6TGXSsr1c/tjzDEfRmceny3dB1lR8cLErU6PyTxvWXNktYm+lWAtZUxANQCtWrXCc889Z7c9OTkZkiRhzpw5Dn/v4sWLkCQJN998M66//nqMHz8eK1euxEsvveTy96zl5OQgKSnJ5ickJIRJS0QNEp50Rr8pHzrlfIGonou1IvPFyc6LTBLjw0V7ISsqXp66zekxJy9aiq+Ve52/rSZbn3vwdqWkvFI/tzOi0nwXnIl8XPPfh5emOM/B01bfSvziYtVxX2MDYExANQDNmzdH586d7bYfO3YMkiRh8uTJDn8vKysLkiRBkiSsWLFC315VVYX7778ff/3rX93+2cHBwfq/o+4Pk5aIjFITs/Wb8pEzl5we9/lSrRB6zkUhRGK8v0B7O9NlhvPhWTkFlnHqPwfoOHUjPHm7UllVrZ/bKRGpPozOPHrUvCHsMt35G8Jzl0ot30rEZvguODfYABgTUA2A0TcAubm5kCQJV111FSorbZcSHzZsGCRJQmam626YbwCI6PcQknBKvykfO+f826TaoRBPj3M+FILEePvHXZAVFW/O3un0mAtW49QXBeg4dSP+W/N25ZVpzp9sA8Cd/bRzOz78iI8iM5d352nfCL0xy3kO5hVZcnDBdvPkIBsAYwKqATD6DUBVVRWuueYaNGvWzG7f7NmzIUkSDhw4UO94mLRE1FCr953Ub8pZF4qcHufJx5AkRtfZ2gxN3ec6n6K1wGqc+rxtgTlO3Yjaj99fc/F2BQBaDAyFrKgYHXrYR5GZy1tztBx8y8UsYYWlFXoOzo1J92F0rrGWMiagGoDevXs7nAVo1KhRbmcBevzxx9G4cWOUlZXZbB88eDAkScLp0/WflYFJS0QNtXxPpn5Tzs4vdnpc7WJTrqZDJDFem7EDsqLivfm7nR5TXGYZpz4r2jzFl9l1n+v+7QoA3D84DLKiYviGZB9FZi6vz3Sfg6UV5vxWgrWUMQHVAOzevdtuHYDS0lLcfffdaN++vb4tMzMTKSkpNr87efJkSJKEH3/8Ud9WUlKC5s2b4/777zcUD5OWiBpqSWyGflM+d6nU6XGeLIhEYrwybRtkRcV/F+11ekxFZZV+nadGBuY4dSPenL3T7dsVAGgzbBNkRcXgkEM+isxcXq1ZKfw/LlYKr7L6VmJyxFEfRucaayljAqoBAICuXbuiSZMm6NOnD+bOnYsnnngCTZo0QUyM5QOhTp06QZJsT01xcTFatWqFq666Cr1798a0adPQtm1bNG7cGKGhoYZiYdISUUMt2H5cvynnFZU5PW7Y+mTIiopWQ8J9GB154sXJMZAVFb2WxDk9prraUnxN3BSY49SN6OLB2xUAeHREBGRFRb81B30Umbm8NEVrQj9e7DwHAXN+K8FaypiAawBKSkrQu3dvNGvWDFdffTXatm2L8HDbG6KjBgDQPuTt0aMHbrrpJlx99dVo37693e/WB5OWiBpqbky6XhheLq1wetzo0MOQFRUtBxp7YEG/n+cmRENWVHy+bL/L4+4esBGyouKHsBSXx5HFy1O1wvZDF29XAKDD6EjIioreq+r/Pd+V4PmJW7UcXOo6B834rQRrKWMCrgEwEyYtETXUjKg0vQEorah0etz48COQFRV39lN9GB15ouPYKMiKim9+iXd53L2DtHHqI9XAHKduxD8muX+7Anh+Da5UncZpf/+v3fz9Ww0Jh6yoGLbePDnIWsoYNgACMWmJqKEmRxzVG4Cqqmqnx02JSNWPq3RxHPle7dPn7908fW4drBVfwet4z/DUsx6+XfH0uCvVE2O2QFZU/G+l6xw047cSrKWMYQMgEJOWiBrK0yf71m8KSsqdvykg33tsZO3480SXxz0yfDNkRcWA3wJznLoRnj7Zr/0Oo6ebMfBXqrY1Oaj86joHzfitBGspY0zbALz00ktYtmwZioudT2vn75i0RNRQtWP7W7gZ2/9jzDG9ASh08a0A+d5DHj5VbTdKK776rnZdpJHF4x6O7fdkJqYr2cM1zeWgta5z0NO3Vb7EWsoY0zYALVu2RFBQEG644QZ88MEHiIiIQHX1lfXamklLRA01fINns/ss3OHZbEHke609HFddO0zju5UJPorM/3n6xNqTtRiuZLXDy4aud12PmPFbCdZSxpi2AQCAvXv34uuvv0azZs3QqFEj3HbbbejduzcSEq6M//gxaYmooYZ4OL//kl0n9AYg51KJj6IjT7SsnVllo+uZVWo/1PxquXmKL7PzdMx67WrM3eY6Xwn3Slb7gfkoNzloxm8lWEsZY+oGoFZVVRXCw8Px3nvv4YYbbkCjRo3QqlUrjB07FidPnhQdnmFMWiJqqNoVfh8d4XqF3xV7LSsGn867codW+qPm/bXpPceFu57e84WaqRo//XmfjyLzf57OWvP2j9qKwf+e5XrF4CvVXR7moKezKvkSaylj/KIBsJaXl4e33noLQUFBCAoKQuPGjfH8889DVf1vajsmLRE1VO9VByArKh4fHenyuF/3ndQbgBPnL/soOnLHeoEvd6ur1i7W9NFP5im+zM7TtysfLNgDWVHRZfp2H0VmHtY5OGmz6xz0dF0FX2ItZYzfNADbt2/HJ598gptvvhlBQUF44IEHMH78eEyZMgUPPvggGjVqhMGDB4sOs16YtETUUN+uSICsqHhq7BaXx607cFq/yaflFPooOnKnrKJKvy4zotJcHvvq9O2QFRU9Fu7xUXT+z9OVaz/6aS9kRUXnKdt8FJl5lFdacnD6llSXx5rxWwnWUsaYugFITk5G//79cccdd6BRo0Zo1qwZ/ve//zn8BqBnz5646aabBERpHJOWiBrqi2X7ISsqnp0Q7fK40IPZ+k3+cHaBb4Ijt4rKKvTrMmdrustjX5+pFV/vzjNP8WVmVVWev135ZMk+yIqKv0/a6qPozKM+Ofjm7J2QFRXd5+7yUXTusZYyxrQNQJs2bdCoUSNce+216N69O0JDQ1FVVeX0+OXLlyMoKMiHETYck5aIGqrXkjjIiop/TIpxedzm5LP6Tf7gyXwfRUfu5BeV69dl/vbjLo/tOkf7UPWtOYH5oWp9lVZUevx25cvl8ZAVFc+Mj/ZNcCaSX+x5Dnafq30r8eZs83wrwVrKGNM2AJ06dcL8+fNRUODZk6qioiKcOHHid47Ku5i0RNRQHy7Shi68PNX10IXoIzn6TX5/5kUfRUfu5BaW6tdlSWyGy2PfnbcbsqLi9Zk7fBOcn7tc6vmT7e9qhtI9+YProXRXovNWObjYTQ6+N1/LwddmmCcHWUsZY9oGIDMz0+UiYMXFxcjMzPRhRN7HpCWihnq/9uNFNzfkHWm5+k1+97HzPoqO3DmTX6Jfl+V7XN/TeizUrvWrAfihqhF5RWX6uV3g5sl239WJkBUV7Ue5/pj+SmSdg8t2u87B/9Y8cHhlmnm+lWAtZYxpG4BGjRph2bJlTvevWLECjRo18mFE3sekJaKGqp2+0N0r+T3HL+g3+R1puT6KjtzJulCkX5dVcVkuj/3oJ22410sB+KGqEecuef52ZcBv2nS6jwzf7JvgTKQ+OdhzsZaDL052PeTQl1hLGWPaBiAoKMhlA/Dzzz+jSZMmPozI+5i0RNRQtQsYufsob3/mRf0mH3Ukx0fRkTvHzhXq12Vt/CmXx376s/ah6gsTA+9DVSOy84s9frsSvC4JsqLigWDXK2pfiY7nXvY4Bz/3cNIBX2ItZYypGoCCggJkZmYiMzMTQUFBmDZtmv6/rX8SExPxyiuv4G9/+5vokBuESUtEDeXptHyHTuXrN/nNyWd9FB25c/TsJf26bEg87fLYr2o+VO00LspH0fm3+jzZHqkmQ1ZU3DsozEfRmUd9cvCbX7Qc7DjWPDnIWsoYUzUAQ4cORaNGjTz6CQoKwqhRo0SH3CBMWiJqqFemaQvz/NfNwjwpZwr0m3zowWwfRUfuJJ22NGbhSWdcHvvdSu1D1SfGBN6HqkbU5+3KD2EpkBUVdw/Y6KPozKM+Ofh9zcKDHdwsPOhLrKWMMVUDEBsbiwkTJmD8+PEICgrCO++8gwkTJtj8TJw4EXPmzEFcnP+vhMikJaKGenFyDGRFRc/Frv+bmJZjKYZCElwXQ+Q7B7Ly9OuyJcX1m5naD1XbjYrwUXT+7cgZy5NtNdF10ztx0xH92Orqah9FaA71ycF+a7QcfGykeXKQtZQxpmoArA0dOhQHDx4UHcbviklLRA313IRoyIqKz5ftd3lc5nnLcIhf9530UXTkzr4Tlo+zY46ec3lsIH+oaoT1sDd3T7anRabqx5ZXOl9z6EpUnxwctPYQZEXFQ8M2+Sg691hLGWPaBiAQMGmJqKE6jo2CrKj45pd4l8edzrN8EPmLmw8iyXdi08/r12VnuuvZmWo/VG0dgB+qGpFQjyfbs6LT9WOLyyp9FKE51CcHh66vycEh5slB1lLGmKYBGDZsGIYPH66v9jts2DC3P8OHDxccdcMwaYmooTqMjoSsqPh+1QGXx9lMibjLvxZNvJJtSz2nX5e4jAsujw3kD1WNiMvw/Mn2vG3H9GPzi8t9FKE51CcHR288DFlRcc+gUB9F5x5rKWNM0wAEBQWhUaNGKCsr0/+3ux+uA0BEge6xkRGQFRX91iS6PK4+iyKR70SlWFZoTsjKc3lsIH+oasTO9FyPn2z/tDNDP/Z8YamPIjSH+uTguHAtB5v3N08OspYyxjQNwP9n777Dq6jy/4FfkP2pW767z7bH9fnudxQrgquroguui7oo9rKKy669u1hxgaF3Ij1ITaSHDgIBBhLSC4H0QhISUkhPSO+k5/P74+bODILcmTMzd+bmvl/PM3+Id04Oc0+Yz2fmnM/xRBi0AKDVvXNPEMcLNONQ+lU/19LeJd7kfSPzXNQ7cOZERoX4vaSXNlz1s568UJVF5DnlT7Z3xBaKn73Q2OaiHlpDoIoxuCLonOXGIGIpNkgATIRBCwBaDZsVSBwv0NwjmVf9XHtXt3jjXhOW66LegTNCWrn4vWRXNF31s9/KFqp2edhCVRahWRcUP9nem1Asfra4ttVFPbQG+Rg8d+HqY3B1qDQGO7qsMQYRS7FxqwSgtbWVNm3aROvWraPCQvefw4pBCwBa3T79OHG8QF7Hzl71cz09veKN2zv4nIt6B874p5SK30teVfNVP+vJC1VZqHmyfTC5RPzs+eoWF/XQGuRjMN/JGFwfIY3B1o4uF/Xw6hBLsbFsAvDee+/R0KFDxf/u6Oigu+++W5z//6tf/YqSk69e9cLqMGgBQKvBU48Rxwu0JDBL8WeXBma7oGegxP7EEsVPnuULVRvbPGuhKgs1b1eOppUpfgre3+xT8fZjY/R5yy2WRizFxrIJwM0330wzZ84U/3vLli00YMAA2rVrF2VmZtKdd95JL774ook91A6DFgC06O2VnuqvCHL+VF/p2wJwnd1xReJ3WN5w8aqf3XJSCr5qWzpc1EP3dShZ+ZPtgHTpbUFG2dXfFvQ3u2RjsKLh6usftp2y3mJpxFJsLJsAXH/99bRp0ybxv1988UUaPny4+N/Lly+nG264wYyu6QaDFgC06OjqEW/Gq0NznH5e6XoBcB2/09Li06qmqwdU22WfrfSwhaos1DzZDjkrrRdIdbJeoL/xkwX11U6C+p2xypMFV0EsxcayCcBvf/tbWr58ORERdXV10S9/+UuaMWOG+P+/++47uv76683qni4waAFAi9YOqbKPT4Tzyj6OikEz/a9eMQhcZ5NsSkV969Wf6u+Jl4KvkjrPWqjKYpeKtytqKgb1N5dM62m9+rQeKy6WRizFxrIJwJNPPkl33nknJScn05w5c2jgwIEUFxcn/n+e5+mmm24ysYfaYdACgBYNrZ3izXijgtr+wxXuGQCu4xspLapsab/6osoDSdJ6gQIPW6jKQv5k29nbFfmeAafyalzUQ2vwiVA+Bq24WBqxFBvLJgAJCQn061//mgYOHEgDBgygsWPHXvL/b7/9dnr99ddN6p0+MGgBQIvqZml3322nCpx+fuQ3ocTxzncNBtdZE5YrfoftXVev7HM4VVqomlvpWQtVWWxU8XYlXrZrcFTO1XcN7m/kY9BZac8jsjGYY5HF0oil2Fg2ASAiqqqqIn9/f4qIiLjkz+vr62nlypWUkpJiUs/0gUELAFpUNLSJN+OdsUVOP/+3JWHE8QJ9sdu9K6j1JyuDpbrqPT1X31jp+Bmpqs3Z8kYX9dB9qXmynVJcL342NOuCi3poDd7Byjf3ki+WziyzxhhELMXG0glAf4dBCwBaFNe2ijfjfQnFTj//9+URxPECjd+R5ILegRJLA+27+948RXD62aBMaaHqmRLPqlTDQs3blfTSBvGzgRkVLuqhNSwJzCKOF2jw1GNOPytfLJ1WYo3F0oil2Fg+AWhqaqL09HSKioqiyMjIyw53hkELAFrkVzWLN+NDyaVOPz/GO5I4XqAPtiW4oHeghNfxs8TxAt0+/bjTz4ZnV4rfd2JhnQt6597kT7advV05d6FJ/OzRtDIX9dAavI7Zx+AdM5yPwQjZYmmrjEHEUmwsmwDU1NTQuHHj6Cc/+QkNHDjwsmPAgAE0cOBAs7upCQYtAGihNmh5fnU0cbxA72yOc/pZcI15RzOJ4wUaOivQ6WdP5koLVWPzPWuhKgs1b1fUJtP9ydwj9jE4TMEYjJGNwdMWGYOIpdhYNgF4+eWXadCgQfT111/ToUOHKCIi4oqHO8OgBQAtMsqkaQsB6c6nLby89iRxvEBvbIx1Qe9AiVn+6cTxAt0z94TTz8bm14jf98ncahf0zr05nmwrebuidjpdfzLjkH0M3qtgDMadlxZLR+dYYwwilmJj2QTgZz/7GU2aNMnsbhgKgxYAtEiVLVwMOet84eJrPqeI4wV6zeeUC3oHSkw9eIY4XqD75wc7/WxiYZ34fYdnV7qgd+7N8WRbydsVtQvq+5MpB9KI4wUavsD5GEwqksZgmEXGIGIpNpZNAH73u9/R2rVrze6GoTBoAUCLxELpaVzkOeelC1/fEEscL9A/1sW4oHegxMR9qcTxAv3FK8TpZ9NKpIQvKNOzKtWwmKni7Yrakrr9yX/7xuDIb0Kdfla+WNoqYxCxFBvLJgATJkyg0aNHm90NQ2HQAoAWp/KkKSExec5fx7+9OY44XqDnV0e7oHegxFd7UojjBXpkcZjTz54tbxS/7+Nnyl3QO/c25YDytysNF6VN9TZE5bugd9bxxe5k4niB/rbE+RjMqrDeGEQsxcayCUBMTAzdd999NGbMGDpw4ADFx8dTUlLSZYc7w6AFAC2icqSKHPEFtU4//8G2BOJ4gZ5aGeWC3oESn+5MIo4X6LFl4U4/m1spLfo+nOpZlWpYqHm70trRJV7b9RF5LuiddYzfYR+Djysag82WG4OIpdhYNgEYMGCAeKAKEADA5cKypLKQyUXOS/L9Z0cicbxAf1/u3gUU+pOP/ezfyZMrnJe1LqhuEb/vA0klLuide/uy78m2krcrHV094rVdHZrjgt5Zx4d9DwbGeDsfg4U10hj8PtEaYxCxFBvLJgBbt25VdLgzDFoA0OJEhrQrZ3qp842hHK/6Ryl41Q+u8d6WeOJ4gZ751vlbmZI6qVLN3njPqlTDYryKtyu9vb3itV0edM74zlnIu31j8LlVzqcGltZfFK/TnnhrLJZGLMXGsgmAJ8CgBQAtjp0pF2/G2RVNTj//9V7li/3ANd7cZF+X8eKak04/W9koVarZfrrQBb1zbx/5JSh+u0JEdMvUY8TxAi0OyDK4Z9byxkZ7cYCX1rrnGEQsxcYtEoDy8nJKTU2llpYWs7uiKwxaANDCP6VUvBnnVTU7/Tz/vfJyf+Aa//ruNHG8QK+ud16ZqbalQ/y+t5w874LeuTc1b1eIiO6cEUAcL9DCY2cN7pm1/NPXXh54rILywHUWHIOIpdhYOgHw9/enO+64Q5z3Hxpqf2pVXV1N9957Lx08eNDkHmqDQQsAWuxPLBFvxkU1rU4/79jw58/zglzQO1Bi7Hp78DXO97TTzza2eW6lGhaOJ9tK3q4QEQ2bHUgcL9Dsw551T35lXQxxvED/3uB8DDZZcAwilmJj2QTgyJEjNHDgQHr44Ydp7ty5NGDAADEBICJ69tln6YUXXjCxh9ph0AKAFrvjisSbcVn9Raefn3MkgzheoGEKNkYC13hJxe7MFzu6xe97XbhnVaphMc5X+dsVIqI/zwsijhdo+qEzBvfMWl5YHU0cL9Bbm+Kcfrat03pjELEUG8smAA888AA9+uijRERUU1NzWQKwYMEC+uMf/2hW93SBQQsAWvidLhRvxpVNbU4/73XsLHG8QHfMOO6C3oESz66KIo4X6N0t8U4/29UtVar5NsSzKtWweHV9jOK3K0REDy4MJo4XaPL+NIN7Zi1Pr7SPwfe3qhuDqywyBhFLsbFsAnDdddfRunXriOjKCcCGDRvo2muvNat7usCgBQAtNkWfF2/G9a0dTj+/JDCLOF6gW6Yec0HvQIkx3pHE8QJ95Jfg9LOXVKo5ke2C3rm3F9cof7tCRDTym1DieIEm7E0xuGfW8sSKCOJ4gT7Znuj0s1Ycg4il2Fg2Afj1r39NS5cuJaIrJwBTp06lG2+80azu6QKDFgC08I3ME2/Gze1dTj/vHXxO/Hxvb68LegjOPL4snDheoPE7lW1sees0e6WaRR5WqYaFmrcrRESjloQRxwv0+a5kg3tmLY8utY/BzxT+vW+bdtxSYxCxFBvLJgCvvPIKDRs2jLq6ui5LACoqKui3v/0tvfPOOyb3UhsMWgDQYk1YrhjQt3V2q/p8R1ePC3oIzvytL+j8crey4MtRqWaBkGlwz9zfkyuUv10hIhq9XPmT8P7k4UV9bz72KHvzMWSmtcYgYik2lk0AsrOz6Ve/+hXde++9tHDhQho4cCBNnjyZpk+fTr/97W/pN7/5DRUUFJjdTU0waAFAi5XBOWJA393j/Im+T4T0xqBFwRsDMN4IrxDieIH+uy9V0ec9tVINi8dUvl15SpwLryxh6C8zPVOwAAAgAElEQVQeWhiiau3D3RYbg4il2Fg2ASCyf6l///vfaeDAgTRgwADxeOyxx+jsWfev04tBCwBaLDuRTRwv0E1TBEWfl68ZaGjtNLh3oMQDC+wLT6ccUFZ55r6+SjXTDnpWpRoWjyxW93ZFTTWc/kTtmLrPYtWSEEuxsXQC4FBXV0fx8fEUGxtLVVVVZndHNxi0AKCF13F7VZ/bpiur6uN3qkBMAKqa2g3uHShx79wTxPECzfRPV/R5T61Uw0Lt25V/qKiH35+ofaLvGIP899YYg4il2Fg2AZg7dy6lp//4P4gZGRk0d+5cF/ZIfxi0AKDFvKOZxPEC3TUzQNHn5fsGlDc43zcAjDdslj34mntE2XxqT61Uw+L++Y63K8oC1dd8lO+I25+ondNvtTGIWIqNZROAAQMG0M6dO3/0/+/Zs4cGDhzowh7pD4MWALSY5W/f2fdPc04o+rx85+DiWuc7B4Px7phhr6jidUzZtFZPrVTD4h6Vb1ccOwe/tFbZzsH9hdqqPo6qQVYZg4il2LhtArBu3Tq67rrrXNgj/WHQAoAWUw+eIY4X6P75QYo+759SKiYAeVXNBvcOlBg81V7Wc2mgsprqnlqphsVQlW9X3tkcRxwv0HOrog3umXWw1PV3jMH/7LDGGEQsxcZSCUBkZCTNnTuX5s6dSwMGDKBXXnlF/G/5MWHCBLrxxhtp+PDhZndZEwxaANBi0v5U4niB/uIVoujzx86Uizf77Iomg3sHzsiDL+/gc4rO8dRKNSxun67u7cqH2xKI4wUa4x1pcM+sg2V3accY/GCbNcYgYik2lkoA5syZI1b6+WHlnx8eQ4cOpdhYZbv7WRUGLQBo8dWeFOJ4gf66ONT5h4noREaFeLNPL20wuHfgTEeXFHytCctVdM7zfZVq3t7sWZVqWDjeriwJVDa1ZfyOJOJ4gR5fFm5sxyykrbNbHIPrwvMUneMYg+9YZAwilmJjqQTg4sWLVFNTQ9XV1TRgwADy9fWlmpqaS47a2lpqa2szu6u6wKAFAC0+3WkPWB5bGq7o82HZleLNPrmoztjOgVOtHV3i9+EToSz4enntSeJ4gV7f4N4PwIzW06P+7coXu5OJ4wX625Iwg3tnHY1tneJ12hCVr+gcR7Ukq4xBxFJsLJUAyBUWFlJra/9epIZBCwBafOyXSBwv0BMrIhR9PjqnWrzZxxfUGtw7cKahVQq+NkafV3TO2L5KNa95WKUatdq7ulW/XfnvPvuUuhEKp9T1B7UtHeJ12nJS2Rj8p6+1xiBiKTaWTQA8AQYtAGjx/tZ44niBnl4Zpejzsfk14s0+Jrfa4N6BM9XN7eL34XeqQNE5r2+wV6p52cMq1ajV0q7+7cqUA2nE8QI9sCDY4N5ZR2Vjm3iddsQWKjrHUS3JKmMQsRQbyyYAvb295OPjQ8OHD6ff/OY3NHDgwMuOa665xuxuaoJBCwBavLnJXrXkhTXKbsSJhXXizT7iXP/ZVNFdVTRIwdeuuCJF57zdV6nm+dWeU6mGBcvblRmH7GV1752rrKxuf1BS1ypep73xxYrOeXdLvKWqJSGWYmPZBGDixIk0cOBAuu++++jLL7+kOXPmXPFwZxi0AKDFv747TRwv0CvrYhR9/kxJg3izD868YHDvwJniWin42pegLPh6f6u9Us1TCt/6eKqqJuntyjaFb1fmHrFvrDd0VqCxnbOQguoW8TodSCpRdM5HftaqloRYio1lE4Df/e53NHbsWLO7YSgMWgDQYux6+1zcf/oqm4t7trxRvNkHpJcb3Dtw5rws+DqUXKronE+229d9jF6ubN2HpypvuKj67YrXsbPE8QLdPv24wb2zjtzKJvE6HUktU3SOo/iAVaolIZZiY9kE4Oc//zn5+vqa3Q1DYdACgBYv9VWEeWOjsmoc8pv9YYU3ezDOuQvS9yGkKUvIPt9lr1QzyoMq1bBgebuyNDCbOF6gm6cIBvfOOjLL1D8UcJQffmSxNcYgYik2lk0AXnzxRfrggw/M7oahMGgBQIvnVqmrx11Yo/51Pxgno0yakhWYUaHonAl77cHXyG+U7f3gqfKrmlW/XfEOPiee09PTa3APrSGtpF71tEC1GxAaDbEUG8smAGVlZTRs2DBauHAh1dTUmN0dQ2DQAoAWY7wjieMF+lDhjpyl9dK0CKUL/sA4qcVS8BWapSz4mrzfXqnmwYWeU6mGhfztytE0ZW+71oTliue0d3Ub3ENrkBcGCM+uVHTOtINniOMFun9+kMG9UwaxFBvLJgA///nP6ac//alY8eenP/0p/eIXv7jk+J//+R+zu6kJBi0AaPH4snDieIHG70hS9PnKJqnqzPbTykr+gXESC2vF7yNSYVUmR/B13zxrBF9WlV6q/u2Kb2SeeE5ze5fBPbQGltLAsw9nEMcL9Kc51qiWhFiKjWUTgLfffpveeecdp4c7w6AFAC3+tiSMOF6gL3YnK/p8HcOmP2CcU3my4CtPXfA1bLbnVKphkcLwdmVT9HnxnPrWDoN7aA3yzQHjzivbHHCBYK+WNGRmgMG9UwaxFBvLJgBGaW9vp8mTJ9Mf/vAHuu666+jBBx+koCD1T1JGjx5NNpuNPv30U+a+YNACgBYjvwkljhfo672pij7f1CbVRv8uMt/g3oEzUTlVqndmdgRfd86wRvBlVQkF6t+u+J0uFM+pamo3uIfWEJZdKf6dk4rqFJ2zOCCLOF6gW6cdM7h3yiCWYmOpBCApKUn1oda4ceNo0KBBNHHiRPL19aURI0bQoEGDKDpa+YYWBw4coJ/97GdIAADAVMMXBBPHC8R/n6bo822d3eLNfm14rsG9A2fCsqTgK7W4XtE5iywWfFkVy9uV3XFF4jll9RcN7qE1BGVeEP/O6aUNis5ZESQtlu7tNX+xNGIpNpZKAAYMGHDFHX+vdDg+q0ZcXBzZbDZaunSp+GdtbW10yy230IgRIxS10dbWRjfddBPNmzcPCQAAmOreuSeI4wWacShd0ee7e3rFG/fK4ByDewfOBGZUiN9HZlmjonOWn8i2VPBlVSxvV/YnlojnFNW0GtxDazh2plz8O2dVKBuD8sXSnd09BvfQOcRSbCyVAGzdulX1ocakSZPommuuocbGSwe5l5cX2Ww2Ki52XhVj7ty59H//93908eJFJAAAYKphswKJ4wWac0T5vyE3T7HfuJedyDawZ6DE0bQyMZDKrWxSdM63ITniOV0WCL6sKjRLerKdovDtin9Kqez7aDa4h9bA8nf2iZAWS7d2mL9YGrEUG0slAEYbPXo0DRky5LI/DwkJIZvNRkeOHLnq+UVFRXT99dfT7t27iYiQAACAqe6YcZw4XqCFx84qPue26fZzvjmeZWDPQImDydIT54LqFkXnrAuXgq+LHZ5RqpKF/O2K0qktLE/D3d33DG895IulG1o7De6hc4il2HhUAjB06FB6/PHHL/vzzMxMstls5OPjc9XzX331VRo5cqT432oSgMrKSsrIyLjk8Pf3x6AFAGa3TD1GHC/Q4gDlwfzQvrcG845mGtgzUGJvfLEYSJUqnHO+ISpfPKexzfzgy6qENCmYz65Q9nblBEPS4O5Y1j1YbbE0EgA2HpUADB48mJ5++unL/jw/P59sNht5e3v/6LlhYWE0YMAAio+PF/9MTQIwe/ZsstlsVzwwaAFArd5eaT7/8qBzis+7p2/dwCx/ZesGwDjbZYFUZVObonO2nJSevta2eEapShbyqS15VcqmtrBUxHF3fgxjcE+8tRZLIwFg41EJAOsbgK6uLho2bBi99dZbl/w53gAAgFk6unrEm/DqUOULeu+fb68cNOXAGQN7B0psPqm+7vwlSUOjsoDNE+1LkN6uFNcqm9rCUhPf3cnHYJ3ChJJl2pCRkACw8agEgHUNwKZNm+gnP/kJxcTEUEFBgXjYbDZ66623qKCggFpb1f8SYNACAKvWji7xJrw+Ik/xeSO8QojjBZq4T9neAWAc+c6zLQp3npU/fS2pMz/4sqpdsqkt5Q3KnlLLd8U9qXBXXHfHsvvx4VT54nXzF0sjlmLjUQnAxIkTr1gFaOHChVetAnS16TuO49ChQ6r7g0ELAKwaWqVNvTZGK9/V95HF9t2Dv9qTYmDvQAl5OcWOLmUVfQ4kqV847In8ThWonqeeWFgnnhOeXWlwD61BPgbbOpUtKg9Il9ZXnC03f7E0Yik2HpUAxMbGXrYPQHt7O91666300EMPiX9WVFREWVnSorqsrCw6dOjQZYfNZqNnnnmGDh06ROXl5ar7g0ELAKyqmtrFm7DfqQLF5z2+LJw4XqDxO9VvpAj6YtlQ6dKnr8oWt3oieaUapdOr0krqxXOCMy8Y3ENrWBkslZXt7lE2BkPOSiVW00qUlVg1EmIpNh6VABARjR07lgYNGkSTJk0iX19fGjlyJA0aNIgiIyPFz4waNYpsNueXBmVAAcAsZfUXxZvw7rgixeeN8Y4kjhfoI78EA3sHSixm2NX3+BlrPX21KpapLWfLG8Vzjp9R/1DPHS3r21ju5imC4nMizkmbrCUWmr9YGrEUG49LANra2mjixIl0ww030LXXXkvDhw+nwMDASz6DBAAArK6wpkW8CR9IKlF83nOroonjBXp3S7zzD4OhFgiZxPECDZkZoPicoEzp6euZEs8oVclCPrWlvUvZ1JbcyibxnMOpZQb30Bq8jp8ljhfotunHFZ8Tkyctlj6dX2Ng75RBLMXG4xIAK8GgBQBW8mDliIpg5aW1J4njBXpjY6yBvQMlZh/OII4X6E9zTig+J1xWqtIKT1+tyjtYml7Vo3Bqizyp/j5ReVLtzuYdtSehd6lIQhMKasXrFJVTZWDvlEEsxQYJgIkwaAGAVUZZg3gTDkivUHze2PWniOMF+qfvKQN7B0pMPXiGOF6g++cHKz7nZK61nr5a1dJA9VNbSmXT6vbEK59W585m+aerTkJTi6W1EqFZ5q+VQCzFBgmAiTBoAYBVCuNN+N8bThPHC/TKuhgDewdKTNqfShwv0AivEMXnxJ2Xnr5G53hGqUoWLFNbKhvbxGu7/XShgb2zjikH1Ceh8ocPgRnKHz4YBbEUGyQAJsKgBQBW8Yyv4d/aFEccL9ALa04a2DtQ4qs9KcTxAv1tSZjic+SJX1iWZ5SqZDHniH161bBZgc4/3KeupUO8tptPKi+t684m7rMnoX9RkYTmXJCmHx5NM3+tBGIpNkgATIRBCwCsYmRTQWJVTAV5f2sCcbxAT6+MMrB3oMT4nUnE8QL9fXmE4nNYp355mumH7E+2/zwvSPE5TW3S3hrfReYb2DvrcCShf10cqvicgmpprcTBZPPXSiCWYoMEwEQYtADASr4YNKlI+WLQT7YnEscL9MQK5UEnGOPDbfZk7CkVyZj86auaxd+eZvL+NOJ4gR5aqPzJdltnt3ht14bnGtg763AkoY8tC1d8jnytxN74K2+g6kqIpdggATARBi0AsDqRUSHehNNLlZeD/HxXMnG8QI8uDTeuc6DIO5v7pmOtjlZ8jvzpq5ryr55mAsOT7e6eXvHargzOMbB31vGRnz0JfXJFpPMP97HaWgnEUmyQAJgIgxYAWAlp0oZQ2RXKd4SdsNceGD28SHlgBMZ4fUMscbxA/1CxILvMAyvVsGB5sk1EdNMU+7VddiLbmI5ZzHtb4onjBXrmW+VvoeRrJbZYYK0EYik2SABMhEELAKwOJZeKN+H8qmbF57FMjQBjjPVRX5K1qqld/N79LPD01aoc06vGeCt/sk1EdNv048TxAnkdP2tQz6zljY32JPRFFUUBmtu7LLVWArEUGyQAJsKgBQBWexOKxZtwSV2r4vMciyPvU7E4EozBsilbQ6u0UHVjtPlPX63KMb3qeRXTq4iI7poZQBwv0LyjmQb1zFrG+drLAr+6XvlbqPYuaa3EmjDz10oglmKDBMBEGLQAwGpHbKF4E65sbFN8nmP32btnKy+PCMZ4dlUUcbxA722JV3xOa4f09HV9RJ6BvXNvLNOriIj+NOcEcbxAs/zTDeqZtby6PoY4XqBxvqcVn9MjWyvhHXzOwN4pg1iKDRIAE2HQAgCrzSfPizfhupYOxectPGbfIOnOGQEG9g6UeHJFJHG8QB/7JSo+p6u7R/zeV4V4xkJVFqw7Xt8/P5g4XqApB84Y1DNreXGN+rdQRESDpx4jjhdoaaD5ayUQS7FBAmAiDFoAYOUbmScGgs3tXYrPWxyQRRwv0K3TjhnYO1DisaXhxPECfbYrWfE5vb294kLV5R6yUJWFI7B9c1OcqvP+4hVCHC/QxH2pBvXMWp75Vv1bKCKiO2b0rZU4Zv5aCcRSbJAAmAiDFgBYrQnLFROAjq4exeetCDonntfb22tgD8GZhxeFEscLNGFviqrzPG2hKgtHYPv+VnWB7SOLw4jjBfpyt/KkzJ2NXh5BHC/QJ9uVv4UiIho2O5A4XqA5R8yPXxBLsUECYCIMWgBgxRrIrw7NEc/r7FaeOID+Hlxon27Cf5+m6ryhs+zB19wjnrFQlQVrYPvYMvtbmfE7kwzqmbWMWmJPeD5X8RaKiOjP84KI4wWafsj8qVKIpdggATARBi0AsFrEOJVnfYQ0dehiR7dBvQMlHEHUjEPqFpyynudJWANbx7qMj/wSDOqZtYzom/L0X5VTnhzJ6+T96pJXIyCWYoMEwEQYtADAav7RTOJ4gYbMVLeYd2O0tHi44WKnQb0DJYYxPslnfXPgSUZ+E8oU2DoqM72rck68u2Jd9Mw6fc0IiKXYIAEwEQYtALCa5Z9OHC/Qn+acUHXetlMFYgJQ09xuUO9AidsZ5/KLwdce84Mvq3pgAVtgy1oVx13d3TeXf/ZhdXEIywJ2oyCWYoMEwEQYtADAasoB+4ZeDywIVnXerrgiMQGoaFC+fwDo7+a+aj7LVFbzcQRfn3rIPHUWrPX8HeVD1dTFd2d3zrBvfLZAUPcW6okVEapL2BoFsRQbJAAmwqAFAFb/3ZdKHC/QyG9CVZ23T7aDcHGt8h2EQV/dss2UvlVZz3+Mt2fNU2cxZCZbYPuv7+w7476icgMxd+Wo578kMEvVeazlQ42AWIoNEgATYdACAKvPdyUTxws0akmYqvMOJZeKgWd+VbNBvQNn2jq7xe9hXbi6HX2fWxXtUfPUWdw6zR7YLg5QF9i+uSmOOF6gF9acNKhn1tGtYUdf1n0WjIBYig0SABNh0AIAq0+2JxLHCzR6eYSq84S0cvGmf+5Ck0G9A2ca2zrF72FDVL6qc19eaw++Xt/gGfPU1ertlQLbFUHqAtv3t8YTxwv09Moog3pnHfIkdG14rqpzrTRVCrEUGyQAJsKgBQBWrIFKYEaFeNPPKGswqHfgTE1zu/g9bI0pUHXuaz724GuszyljOufm2rukwHZNmLrA9mM/e2L9xAp1ibU70pKEWmmqFGIpNkgATIRBCwCsHFMVXlQ5VSEsq1K86acU1xvUO3CmoqFN/B52xhapOveNjbHE8QK9tLb/T1Nh0dzeJV7b7yLVBbaf7kwijhfosaXhxnTOQqplSei2UwWqzn3LMVVqdbQxnVMBsRQbJAAmwqAFAFbjfO1P4MauV/cUOCqnSrzpJxTUGtQ7cKa4tlX8HvYlFKs6970t9rc/z67q/9NUWNS1dIjXdsvJ86rOnbAnhTheoIcXqVtc747K6i+K12l3nLok9P2tCcTxAj1lgalSiKXYIAEwEQYtALD6x7oY4niB/r1B3Rzc0/k14k0/Jq/aoN6BM3lVzeL34J9SqupcT5qmwqKyUXq7siO2UNW5k/bbq2s9tDDEoN5ZR2FNi3idvk8sUXXu+B32NyWPLws3pnMqIJZigwTARBi0AMDq+dX2SjBvb1ZXhSOxsFa86UeeqzKod+BMdkWT+D0cO1Ou6tzP+ipAPeoB01RYaHm7Mu2gfX+N++YFGdQ768i5II3BI6llqs79qu9NyV8Xm/+mBLEUGyQAJsKgBQBWjlrwH25TVws+tbhevOmHZl0wqHfgTHppg/g9BGWq+x4m7E1h2gPCU+RreLsy+3AGcbxAd88ONKh31pFRJo3BgPQKVedO3p9GHC/QgwvVbURoBMRSbJAAmAiDFgBYPb7MvhvseJW7wWaWNTLf9EE/SUV14vcQnl2p6twpB+zB13CVu0B7Ci1vV+YfzSSOF2jIzACDemcdybIxGJalbgzOOJROHC/QvXNPGNQ75RBLsUECYCIMWgBg9dfFocTxAn21J0XVefLX/kfT1L32B/3Eytdi5KpbizHT3x583WOB4MuKzpSwv11ZFJBFHC/QrdOOGdQ764g7L00HjM5RNwbn9SVKd1kgUUIsxQYJgIkwaAGA1UMLQ4jjBZq0P1XVeQXV0sK/g8nqFv6BfqJzqsXvIV5lNSYrBV9WlFgoPdmOULnOZfmJbPHc3t5eg3poDfIxGHde3Ri0UqKEWIoNEgATYdACAKv75gURxws07eAZVeeV1EkLJPeqXCAJ+tGyH8M3x+3B123TjhvUO/empdLVqpAc8dyu7h6DemgN8jGYXFSn6twVQefEc3t6zE2UEEuxQQJgIgxaAGA1bHYgcbxAc46o+/dDS4lE0I+WHZmXy4Kv/v6UmoWWvS7WheeJ517s6Daoh9YQkM4+BteE5YrntnWae50QS7FBAmAiDFoAYHXHjOPE8QJ5HTur6rxa2SZJW2MKjOkcOHU0rUz8HnIuNKk6d3Wo9JS6o6t/P6VmEXL2gnh90krUvV3ZEJUvnttwsdOgHlrDkVT2MSi/To1t5l4nxFJskACYCIMWAFjdPMV+810amK3qvMa2TvHGvSEq36DegTMHkkrE7+F8dYuqc30ipKfULe1dBvXQfQWkl4vX52x5o6pzt50qEM+tbm43qIfW8H2iNAYLa9SNwa0x1rlOiKXYIAEwEQYtALDo7ukVb74rg3NUndvW2S2euy48z6AegjO744rE76Gs/qKqczdFnxfPrW/tMKiH7uuw7Ml2bmWzqnO1fC/uRsvfdZeFrhNiKTZIAEyEQQsALORB/NrwXFXndnX3iOeuClGXPIB+tDxp3n66UDy3sqnNoB66L/mT7aKaVlXnyt/MFKh8M+NutIxB+TU2+zohlmKDBMBEGLQAwELLNJ7e3l66qW/60PIT6qYPgX6+i2SfQ703vlg8t7SfP6VmIX86XdGgLkGSr83IrlA3L97daJnHL18/cE7l+gG9IZZigwTARBi0AMCiprldvPluO1Wg+vzbptkXEC8KyNK/c6CIvIpKe5e6KioHk9nXD3gC+ZPtGpVPtoMypQXEZ0rUVcZxN2vD2Sv5yKtYpZeae50QS7FBAmAiDFoAYFHecFG8+e6KK1J9/l0zA4jjBZp/NNOA3oESWkp5yp9Sm/301Yq0PNmOOCeVEE0sVFdC1N14B0tjsFtlLf+w7ErZdVK3h4DeEEuxQQJgIgxaAGBRVCNt5rU/Uf1uvvfOPUEcL9BM/3QDegdKeB0/Sxwv0G3T1W/mdcJCT1+tSF7LX+2T7VN57JuIuZslgfYN5QZPVb+bb0yutIvwqbwaA3qnHGIpNkgATIRBCwAsciubxJvv4dQy1ec/tDCEOF6gyfvTDOgdKDHnSAZxvEDDZgWqPlf+9FXtDq6eYGVwDvOT7cTCOvHcsOxKg3poDQuETOJ4ge6cEaD63ISCWvE6RZyrMqB3yiGWYoMEwEQYtADAIr20Qbz5BmZUqD7/kcVhxPECfbUnxYDegRJTD54hjhfovnlBqs89KXv6Gptv7tNXK1oamM38ZFvr75Y7mX3YnoTePVt9EppWUi9ep6DMCwb0TjnEUmyQAJgIgxYAWCQVSU8pwxmeUo5eHkEcL9B/diQa0DtQ4r/7UonjBRrhFaL63Ljz0tPX6Jz+PU2Fhdcx+/SqO2aon16Vc0F6u3aE4e2aO5lywJ6E3j8/WPW5WRWN4nUS0soN6J1yiKXYIAEwEQYtALDQOk/5mW+jiOMFen9rvAG9AyU+35VMHC/QqCVhqs9NKZaevoZl9e9pKiwc06tYnmwX1rSI1/Z7hvU17kRLEppf1Sxep0PJpQb0TjnEUmyQAJgIgxYAWFxaqUT9HPCX154kjhfojY2xBvQOlPjIL4E4XqAnV0SqPjejTJqmEpDev6epsJh20PFkW/30qoqGNvHa7oxVX2HLnWhJQkvqpEIEe+OLDeidcoil2CABMBEGLQCw0FoF5p++p4jjBRrrc8qA3oES72yOI44X6LlV0arP1boIvL+btN/+ZPsvDE+2a1s6xGu75eR5A3pnHZ9sTySOF2j08gjV51Y2SYmS3+lCA3qnHGIpNkgATIRBCwAs5Ltw5jDUgX9rkz34fGHNSQN6B0r867vTxPEC/WNdjOpzi2ulp6/7Esx9+mpFX+xmf7Ld3N4lXlvfyDwDemcd722JJ44X6Jlvo1Sf29Aq7Ua+MdrcRAmxFBskACbCoAUAFt8nSjvBFtao3wn2g2326SdjvNVPPwF9vLIuhjheoH99d1r1uZWN0tPX7SY/fbWij/0SmadXdXT1iNd2VUiOAb2zjjc2xhLHC/Qiw4OAix3d4nVaF25uooRYig0SABNh0AIAi52xReLNt6KhTfX5n+5MIo4X6LFl4fp3DhR5fnU0cbxAb2+OU32u/OnrJpOfvlqRY3rV86vVT6/q7e2lm6bYr+2yE9kG9M46XvNhnwrY3dMrjsGVweYmSoil2CABMBEGLQCw2HLyvHjzrW3pUH3+hL0pxPECjfwm1IDegRJProgkjhfoI78E1eda6emrFTmmV726Xv30KiKi26cfJ44XyOvYWZ17Zi2OYgCvb2ArBjB46jHieIGWBGbp3DN1EEuxQQJgIgxaAGDhE5EnBoAt7V2qz3fU/35ggfr636CPR5eGE8cL9NmuZNXnyp++egefM6B37s0xvYo1sB02O5A4XqDZh/v3vfnZVfZywO9uYSsHfOq4WYgAACAASURBVOeMAOJ4gRYImTr3TB3EUmyQAJgIgxYAWKwKyREDwM7uHtXna9kBFPQxwiuEOF6gr/emMp1/6zT709dFAeY+fbWi51ZFawps758fRBwv0JQDZ3TumbVoeQtFRPSnOSeI4wWa5Z+uc8/UQSzFBgmAiTBoAYDF0sBs4niBbp4iUG9vr+rzteyUCvpwBJlTD7IFmUNn2Z9Szz1i7tNXK3pihX2n60+2s+10PfKbUE3JmbvQ8haKiOiBBcF9iVKazj1TB7EUGyQAJsKgBQAWC/sC+DtnBDCdv+yEPYG4iTGBAO20TjO5b549gZh+qH8/pWbxtyVhxPECfbmbLbDVGhi7C0eiM2Fviinn6wWxFBskACbCoAUAFrP804njBfrTnBNM568O1TaFCLS7zbHQ9DjbQtO/9E0hmrivfz+lZvHQQvu1mbyf7cm0Y2rMh9vYpsa4C61voR7rS5Q+3Zmkc8/UQSzFBgmAiTBoAYDFlANpxPECDWdcxOsbKS0ibmZYRAza9PZKi3iXM5aaHNX3lPvzfv6UmsW9c+1z02cyzk3XUqLVnQzrm0Y25whbDDLG2xqJEmIpNkgATIRBCwAsJuyxl/F8eBFbGc+tMQWayoiCNvLNplaHstVQ17qAsz8bMlNbdRotm7S5k9um2d9CfXOcbSG5Y7G12YkSYik2SABMhEELACzG923k9TjjRl674qSNxMobLurbOXCqqU3ayOu7yHymNjzlKTULrfXpHfsIvLKObR8Bd6BHKdl/WCRRQizFBgmAiTBoAYDF+1sTiOMFemplFNP5B5JKxJt/QXWLzr0DZ2qa28XrvzWmgKmNV9fbg69xvv37KbVaXd3S25VvQ9jerrzdt5Pwc6vU7yTsLvTYTG6crzUSJcRSbJAAmAiDFgBYvLnJHqC8uOYk0/lH08rEm/+5C0069w6cKau/KF7/3XFFTG28viGWOF6gf/Tjp9QsWju6xGvrE8EW2H7kZ0+wn1wRqXPvrKO+tUO8TpuizzO18Vbfv0PPrzY3UUIsxQYJgIkwaAGAxWs+p4jjBRrrc4rp/KDMC+LN/0xJg869A2cKqlvE638gqYSpjXe3xBPHC/TsKra3QP1VXYsU2G45yRbYfrYrmTheoEeXhuvbOQupaGgTr9POWLYk9INt9kRpjLe5iRJiKTZIAEyEQQsALF5ae5I4XqA3NsYynR95rkq8+ScW1urcO3Dm3IUm8fofTStjauOT7YnE8QKNXh6hc+/cmzyw3cX4duXrvanE8QKN/IZtkb07KKyRktDvE9mSUMdapMdMTpQQS7FBAmAiDFoAYPH0yijieIHe38pWAeZ0fo1484/Jrda5d+DMmZIG8foHZV5gauPL3fan1I8sDtO5d+5NHtiyvl2ZcuAMcbxA988P0rl31qFHEuqoRmZ2ooRYig0SABNh0AIAi78vjyCOF2j8DrYNeJKL6sSbf1h2pc69A2cSC2vF6x9xroqpjcn77XtBPLiQbS+I/koe2App5UxtzD6cQRwv0LDZgTr3zjrSSurF6xTMmIQ69iO5f765YxCxFBskACbCoAUAFn9dHEocL9CEPSlM52eUSU+gA9IrdO4dOBOTWy1e/1N5NUxtzOzbDfreuWy7QfdXerxd8Tp2ljheoNunH9e5d9YRXyAloVE5bEmoVRIlxFJskACYCIMWAFgMXxBMHC8Q/30a0/m5lc3izf9wKtvrf2AXll0pXv+kojqmNuYfzSSOF2jIzACde+feEmSBbSTj25VlJ7LFNnp7e3XuoTVE50hJaNx5tnVA3xzPIo4X6LZp5iZKiKXYIAEwEQYtALC4Z+4J4niBZvmnM51fXNsq3vz3JRTr3DtwJjCjQrz+6aVsVZiWBNqDr8FTj+ncO/cmf7sSm8/2dmV1aI7YRkdXj849tIZgWSWwtJJ6pja8g8+JbXT3mJcoIZZi43EJQHt7O02ePJn+8Ic/0HXXXUcPPvggBQU5X+hz4MABeu211+jmm2+m66+/nm6//Xb6+uuvqb6e7ReHCIMWANjcOSOAOF6gBUIm0/mVjVKllB2xhTr3Dpw5nCrtw5BbybYPw7chUpDa1d0/g1QWYVnS25WUYrb7s29knthGc3uXzj20BiGtXPw7ZlewjcH1EdJ1au0w7zohlmLjcQnAuHHjaNCgQTRx4kTy9fWlESNG0KBBgyg6+uobWfzmN7+hu+++m2bOnEkbNmygL774gv7f//t/dOedd9LFixeZ+oJBCwAsBk89Rhwv0NLAbKbz9dgECNjtT5R2Yi6qaWVqw0cWfLX00yCVRUC6FNieLW9kamPLyfNiG7UtHTr30Br02A3cKtcJsRQbj0oA4uLiyGaz0dKlS8U/a2tro1tuuYVGjBhx1XPDw8Mv+7Nt27aRzWajDRs2MPUHgxYA1Orq7hFvut+G5DC1cbGjW2xjXTjbbqnAbkdsoXj9KxramNqQB191/TRIZeGfUipel/yqZqY2dsYWiW2UN7A94LM6+d+RdQzujpPaKKs37zohlmLjUQnApEmT6JprrqHGxkufCnh5eZHNZqPiYnVzYZuamshms9HXX3/N1B8MWgBQq7WjS7zp+kSwBe/dPb1iGyuD2ZIIYLdZh+BdjwCuP9obXyxel5I6trcr38ve0BTWsD0dtzo9xuChZO3Jlh4QS7HxqARg9OjRNGTIkMv+PCQkhGw2Gx05ckRVezk5OWSz2cjLy4upPxi0AKBWXYs0fWfzSfbpO7f0TSNaHJClY+9AifU6TN/xhCCVhd+pAvG6VDW1M7VxNE1ao8E6P97q9Ji/L59ulVnGNt1KD4il2HhUAjB06FB6/PHHL/vzzMxMstls5OPjo6q9999/n6655hrKyXH+BK2yspIyMjIuOfz9/TFoAUCVC7IFvDtji5jbGTLTvpB4/lG2hcTAbkWQVD2lh7F6ijxIPXehfwapLDZE5YvXpbGtk6mNkLNShZxUxoXEVqdHBR89ytnqAQkAG49KAAYPHkxPP/30ZX+en59PNpuNvL29Fbe1c+dOstlsNHnyZEWfnz17NtlstiseGLQAoFRRjVTC8/vEEuZ27u0rJTrjEFspUWDnddy+0dRtGjaaCpKVcTxTwlZKtD9aE5YrXpf2rm6mNk7qUErU6hYF2MvI3jqNvYzsqbwa8TrF5FXr2Dt1kACw8agEQK83AFFRUXTdddfRmDFjqKtL2aszvAEAAD3kVjaJN90jGjbxenChfTOxyfvZNhMDdrP6dvG9W8MOqpHnqsRxkFDAtpFTf7Rc9naFdROvxMI6sY3w7Eqde2gNc4/YN5IbOot9DCYXSdcpLMu864QEgI1HJQB6rAFITU2lX/3qV/TAAw9Qc7O2RS8YtACgVnppg3jTPZFRwdzOI4vDiOMF+mJ3so69AyUm708jjhfowYXBzG3E5suevuaa9/TVahxvV27X8HYlo0z6HQtIL9exd9Yx9eAZ4niB7pvnfB+kH3O2vFG8TsfPmHedEEux8agEYOLEiVesArRw4UJFVYDy8vLohhtuoNtvv52qqti2GJfDoAUAtfR6OvnkikjieIE+8kvQsXegxOe7konjBfrbkjDmNqzy9NVqZh/OII4XaJiGtyv5Vc3itT2UXKpj76zj672pxPECjfwmlLmN89Ut4nU6mMw+HVErxFJsPCoBiI2NvWwfgPb2drr11lvpoYceEv+sqKiIsrIurYxRUVFBgwcPphtvvJEKCgp06Q8GLQCoFaPT/OQX15wkjhfozU1xOvYOlPhwWwJxvEBjvCOZ28gsa+z3T6lZTDlgf7J9/3z2tytl9RfFa7srjn2hvZV9ujOJOF6gx5aGM7dR3mCN64RYio1HJQBERGPHjqVBgwbRpEmTyNfXl0aOHEmDBg2iyEjpH+JRo0aRzXbppbnnnnvERb/bt2+/5AgKYnuFhkELAGoF67T4c5zvaeJ4gcauP6Vj70CJNzbGEscL9OKak8xt5MmeUvun9M+n1Cwm7E3R/GRbr1K7VvaBDkmoVa4TYik2HpcAtLW10cSJE+mGG26ga6+9loYPH06BgZe+KrxSAvBjFXxsNhuNGjWKqS8YtACg1pFUqfxjbiV7+cd3t8QTxwv03KpoHXsHSoxdf4o4XqB/+rInXyV1UjWovfHqNrHsz8Y7nmwvC2duo61T2il7bXiufp2zED2SUKvsKI5Yio3HJQBWgkELAGrtTdC+0ykR0fgd9kDp78sjdOwdKPHcqmjieIHe2cw+/aqqqV0cB9tOFejXOTf3/lbtT7Z7e6WdspefyNaxd9Yx1seehL7mw56E9sh2FF8RdE7H3qmDWIoNEgATYdACgFrbZDud1jSz7XRKpM8iQGAzenkEcbxAn2xPZG6jub1LHAc+EeY9fbWa1zfYn2y/tJb9yTYR0R0zjhPHC7Tw2FmdemYtL+i0Bui26fbr5HXcvOuEWIoNEgATYdACgFo+EXli4NfaoWwfkiuZfkh7GUBg8/CiUOJ4gSbsSWFuo1v29NU72Lynr1bzj3UxxPEC/XvDaU3t3NPPN8ob422vAvbhNm1VwO6eHUgcL9Dsw+bFMYil2CABMBEGLQCo5R0sbXTU08O20RER0QLBvhHQkJkBOvYOlLh/vn0TtikHzmhqR3z62k+fUrN4amUUcbxA72+N19TOX7xCiOMFmrgvVaeeWcujS8OJ4wX6bJe2fUCGL7CPZf578zYURCzFBgmAiTBoAUAtPTY6IiJafiKbOF6gm6aw75gKbIbOsj81nXskU1M7jqfUM/3751NqFnoFto/1tfPpziSdemYtI/oSnP9qTHAcGwp+aeKGgoil2CABMBEGLQCoNcs/nTheoHvmntDUztrwXPFNQltnt069AyVumXqMOF6gxQFZzj98FXoFcf3JgwvtT6Qn7dd2TfR6k2BVf54XRBwv0PRD2t5CPbHCvp7lYz/29SxaIZZigwTARBi0AKDWxH32xbt/8QrR1M7mk+fFBKCupUOn3oEznd094nVfFZKjqa3HltmfUo/vp0+pWeg1J/3ltfZFsq9viNWpZ9Zy18wA4niB5h3V9hbq+dX2ilZva6hopRViKTZIAEyEQQsAaumxgycR0e64IjEQLau/qE/nwKmmtk7xun8Xma+prWdX2Z9Sv7ulfz6lZnHrNPvblUUa36786zv7Rnn/WBejU8+so7e3l26eYh+DSwK1XSc99rTQCrEUGyQAJsKgBQC13t9q38Dr6ZVRmtrxTykVA9G8qmadegfOVDa1idfd73ShprZeXW+veDPOV1vFm/5C/nblW41vV97r2yjvmW+1/Z5ZkXyjszVh2jY602NDMa0QS7FBAmAiDFoAUOvfG/R5MhmYUSEGAemlDTr1DpwprpV28N2XoG0H3zc3xRHHC/SCicGXlTTK3q5siNL2dkWPHYWtqralQ7xOm0+e19TWB9u0b7ymFWIpNkgATIRBCwBq6TU3OfJclRgEJBTU6tQ7cObchSbxuh9NK9PU1kd+9uDriRXYzZmIqLJReruyXePblf68UV5JnZSE7okv0tTWZ7uSieMFelTjlEQtEEuxQQJgIgxaAFBLqk6ibQOf+IJaMQiIyqnSqXfgTFpJvXjdgzMvaGrrqz0pxPEC/XVx/wtSWRRUt4jX9kBSiaa2HBvl/bkfbpSXI0tCj6RqS0L1KkqgBWIpNkgATIRBCwBqOeqcf66xznl6aYMYBJzIqNCpd+BM3Hkp8TqZW62prSkH7EHq/fP7X5DKIrOsUby2x8+Ua2pr/lH7Rnl3zuh/G+WlFEtJaMhZbUnojEP2ssT3aixLrAViKTZIAEyEQQsAaj200F77ffJ+bTtv5lY2i0GAf0qpTr0DZyJkU68SC7VNvZrXF6Tehd2ciYgosbBOvLbh2ZWa2lrWjzfKi8mrFq9TTJ62JNSxo7iZiRJiKTZIAEyEQQsAaulV57y0/qJu84BBOfni64wybYuv+3OQyiI6RwpsY/NrNLW1Jqz/bpQXcvaC+HdLKa7X1JZ8R/GeHnPGIGIpNkgATIRBCwBq3TbtOHG8QN8c11a/W14JZIvGSiCgnJ7lV/tzkMoiKFMKbM+UaEuuNkZLG+U1tHbq1ENrOJJaJv7dci40aWrLJyJPbKu1o0unHqqDWIoNEgATYdACgBpdsjrnK4O11Tm/2CHVAl8XnqdTD8GZPfH6bcCG3ZwvJU+uciu1JVc7Y6XvqaKhTaceWoN8DJbUtWpqy+90odhWZZM51wmxFBskACbCoAUANZrbu8SbrW+ktqC9p6dXbGt50DmdegjObJEF7bUag3bs5nwpeWBbqvF6HEgqEds6X92iUw+tYbOOY/BgsnSdCky6Toil2CABMBEGLQCoUdXULt5s/U4VaG7vjhn26UQLj53V3jlQZL1sysTFDm3TdvR84t0f6PlG5PiZcrGts+WNOvXQGvScOmaFDQURS7FBAmAiDFoAUEPPXWSJiO6de4I4XqAZh9J16B0osSLonPgdal00ecICwZeVrA3XL7ANy6oU20oqqtOph9awNNC+cPdmHRaPyxdex503Z0NBxFJskACYCIMWANTQcxdZIqIRXvaSov/dl6pD70AJr2NnieMFun36cc1tWSH4shI9qyKdzq8Rr210jrZSmVYz50gGcbxAQ2cFam4ruUgqvRqWpa30KivEUmyQAJgIgxYA1EjVcQMfIqLHl9k3FRu/M0mH3oESUw/qt3lXYqG0qVjEOezm7Ni8a4gO+yLIN8oLSO9fG+Xx36cRxwv0wIJgzW3p/VCCBWIpNkgATIRBCwBqnMqTnkrGaNxFlojo2VVRxPECvbslXofegRJf7E4mjhfob0vCNLcl3/k2IF3bzrf9gZ7JVUF1i3htv08s0aF31vH5LvsYHKXDGJTvJ7I3Xvu0RBaIpdggATARBi0AqKH3vOSxPqeI4wX6p+8pHXoHSry3JZ44XqBnvo3S3NZ5WZB6MLl/BaksJuxJIY4X6OFFoZrbqm6WFtxvjSnQ3jkLeX9rAnG8QE+t1D4G61ul/UQ2RZuznwhiKTZIAEyEQQsAasg38Mmu0LaBDxHRu33B6LOrtAcCoMxrfUnXWB/tSdeFxjZxPOyILdShd+7tY79E4niBnlgRobmttk5pn4w1Ybk69M46/vXdaeJ4gf6xLkZzWx1d0t4kq0O17U3CCrEUGyQAJsKgBQA1dulc913PqQCgzDPf2qddvafDtKvGtk5xPGyIytehd+7trU1xxPECvbA6WnNbvb29NHjqMeJ4gRYHaNt122peXHOSOF6gNzbG6tKeXruTs0IsxQYJgIkwaAFAje8i88WAr7GtU3N7es6ZBmVGLQkjjhfo813JmtvqlO0M/W2IOU9frWTsen2ntP1pjr1M7kz//lUm98kVkcTxAn3kl6BLe/fMNfc6IZZigwTARBi0AKDG8r4yh3rUkCfStyQlKHP//CDieIGmHjyjS3u3T8dmbg5Pr9Tv7QoR0chvQonjBZqwN0WX9qzir4vtf6+v9ujz9zL7OiGWYoMEwEQYtACghp71u4mIVoXkiAlFR1ePLm3C1em9+/L984OJ4wWaciBNl/bcmSOw/XK39rcrRNKT8g+36fOk3Crum6dvEvrEigjieIE+9kvUpT21EEuxQQJgIgxaAFBj4r5U4niBHloYokt7m0+eFxOAupYOXdqEH9dlwJSdx5ba93L4FHs5iFNR9NrZ+uW19rny/95wWpf2rOLOGQHE8QItEDJ1aU/vNQVqIZZigwTARBi0AKCGo8rJ6OXaq5wQEe1LKBYD0uLaVl3ahB/X0Cot2tWrZOILq6OJ4wV6a1OcLu25KyMW7b6xMda+qHjNSV3as4Kenl5xDC4POqdLm69vsF+nl9eac50QS7FBAmAiDFoAUMNxo31JpxttQHq5GAxkljXq0ib8uJK6Vt03Tfr3htOmBl9W0drRJV7bdeF5urT5nx32hPvxZeG6tGcFLe3SdVofoc91+nCbfV+BMd6RurSnFmIpNkgATIRBCwBqvKDzq/bonGoxGIg7X6tLm/DjsiuaxOt97Iw+O/fq/VbIXcn3RNh+Wp89EfSecmcFFQ3SddoZW6RLm1/puAEbC8RSbJAAmAiDFgDUeGyZfb73+B36zPdOKa4Xg4HQrAu6tAk/LrGwVrzeEeeqdGmzPwapLHIrpeTKP6VUlzb1XnRvBfIk9GhamS5tTj9kLyf853nmlBNGLMUGCYCJMGgBQI3hC+wVXybv16fiS25ls+5BE/y48OxK8XonFtbp0ubcI5nE8QLdNTNAl/bcVVJRnXhtw7IqdWlzWV/Z3ZumCNTbq73srhXEF0hJaKROSajZ5YQRS7FBAmAiDFoAUGPITHv1jnlH9aneIZ82sSNWn2kT8OOENGnNRXZFky5trgg6J7bZrcPeEO4q4lyVeB0SCvSZzrY+Ik9ss6W9S5c2zRZy9oL4d0otrtelzW9l5YS7ul1fThixFBskACbCoAUApeQlJL2D9ane0SxbEOij04JA+HF74ovE611af1GXNjdESbtDN1zUvju0uzqaVqZ7crX9dKHY5oXGNl3aNNuBpBLx73S+ukWXNjdGm1tOGLEUGyQAJsKgBQCl5CUkN0Tl69JmT08v3TTF3uayE9m6tAk/Th4oNbTqE6zvjZdKuZbUeW4p111xUnJVplNydSi5VGwzr6pZlzbNtkW290dNc7subX6fKCUVBTolFWoglmKDBMBEGLQAoJS8hOSeeH2qdxARDZsVSBwv0OzD+HfIaCuD9Z8qcfyMNK3obLnnlnL1jZSm6zS16ZNcBWfqP13GbPLpOp06jUH5tKIUE64TYik2SABMhEELAEqdLW/UvYQkEdFfvEKI4wX6775U3dqEK1vYt1jyjhn6LZaMypHmvntyKdelgdKC3R6d1kKcyqsRr21MbrUubZpt3lH7ovEhOi4aTyyUFmCHZ+uzAFsNxFJskACYCIMWAJQyonoHEdHo5RHE8QJ97JeoW5twZVMO2Msl3j9fv3KJ8lKuIWc9t5TrLP904niBhs3Wr2RnemmDeG0DMyp0a9dMRpSNzauSqokdSnZ9NTHEUmyQAJgIgxYAlArLkkpIJhfpU0KSiOiltfpuLgY/zoidZc0OvqxiQt9mVCO/0W8zquJa/XduNttHfvZde59cod+uvTXN7eJ12nLyvG7tKoVYig0SABNh0AKAUv4p0oLE3Ep9qpwQEb2xMZY4XqAX1pzUrU24sn/6niKOF+jV9TG6tVnZJJVy9TtVoFu77ub9rfbAdoy3foFti6xK1vp+UiXLiDFoRIUyNRBLsUECYCIMWgBQyu9UgSElCT/blUwcL9DfloTp1iZc2ZMrIonjBfpwW4JubbZ1dovjYk1Yrm7tupvXfPQPbHt7e+m26ceJ4wXyOnZWt3bN9PTKKOJ4gd7bEq9ru8Nmm1dMALEUGyQAJsKgBQClvIOlDZ86uvTbbGf24Qz73OlZ+s2dhit7oG8n5ykH9NnJmcgepN467RhxvECLArJ0a9fdOALbd3UObB9aaF8kP7GfLJJ/eFEocbxAE/ak6NruXxfb2/1yd7Ku7SqBWIoNEgATYdACgFIz+xY53q3jIkciolWysoDtXd26tg2S3t5eumWqPVBfrHOgft+8oL7E4oyu7boTR2D7hc4B6FN9icX7W/VNLMxi1JP651dHE8cL9PbmOF3bVQKxFBskACbCoAUApcbvTCKOF+jRpeG6trsjVtrttLxBnw2U4HINF/XfyM3hiRURuk8tcjd3zgggjhdo7pFMXdv994bTxPECvbzW/dfIyDf+W67zxn9mriVCLMUGCYCJMGgBQKlxvvZA5B/r9JvjTEQUkC5tJJVe2qBr2yApqG4Rr/P3iSW6tv2v7/pPkMpCvlh3bbi+6yA+NSjxNoORSahjLdEoE9YSIZZigwTARBi0AKCU4ynvBzo/5ZXvLxCh4/4CcKmkImmzpLAsfTdL+rwv+HpksWcu5C6skZKrvQn6lut0TL3705wTurZrhqKaVsOv0z1zXX+dEEuxQQJgIgxaAFDq/vmOed76LSAlurSO/MFkfZ9MgyTk7AXxOqcU1+va9pwj9oXcd+m4u6s7ke9Eq3dytSJIWnzf1a3f4nszJBbWGnadlp+QdmLu1mknZqUQS7FBAmAiDFoAUKKnp5cG9y0gXRKo7wLShlbjpgWAZF9CsXidi2tbdW17TViu2PbFDs9byB2YUSH+/dNK9E2utsZI5Xerm9t1bdvVjp8xbrrfxujzYtv1rR26tu0MYik2SABMhEELAErUtXSIN9eN0frutCmvTuPJZSSN5hORJ36Hze1dura9N9645MIdyBeyl9Xru5D9cGqZ2HbOBf024DODPJmpatI3mTmQVCK2nVfVrGvbziCWYoMEwEQYtACgRG6lNE3nUHKp7u076tNP3q/v9CKQeB0/Sxwv0G3TjlNvr75TJOTTi5KK6nRt2x2sDDaulG10TrXYdmx+ja5tu9rigCzieIEGTz1GPTpP04nJla5TTG61rm07g1iKDRIAE2HQAoASsfk14s01Kkf/hbpjvCP7ap17bhlJo03an0ocL9CDC4N1bzu1uF4cH0GZF3Rv3+pmHDJmjwwiooyyBvHaBqSX696+K/13n3FjMF+2lkjvKlfOIJZigwTARBi0AKCEfO5uRpn+pTodtc5f8tAykq7w3pZ44niBxnhH6t52af1FcXzsiivSvX2r+8+OROJ4gR5bFq572+UN0rXdfrpQ9/Zd6c1NccTxAj23Klr3ti92dIvXaXVoju7tXw1iKTZIAEyEQQsASmw/Lc1xrmho0719Ty8j6QqOtyzvGLBTalunFHytCnFt8GUFY9efIo4XaKzPKd3b7uruERfg672Ds6s5xuB7W4zZ1fieuSeI4wWadtC1O1IjlmKDBMBEGLQAoMTyvlKEN00RqKNL/1KEC49J89P1nhsMdsNmBxLHCzTjULox7c+ytz/7sOfdrbMwfgAAIABJREFUTx5bGk4cL9D4HUmGtP/wolDieIE+35VsSPuuct88Y0oJOzgSjHcNSjB+DGIpNkgATIRBCwBKfLnb/oR+hFeIIe37yd4wlDfoW0UFLt2BdX1EniE/wxEEf7I90ZD2raq3t1dMfmb6G5NcveZzyu13Wu7s7hHH4Iqgc4b8jHf7prk9tTLKkPZ/DGIpNkgATIRBCwBKvLT2JHG8QK8ZMMWBiCg8u7LfVDqxosyyRvH6Hk0rM+RnOOZ3P+3i4MtstbISub6RxiRXX+81bvGsq5TJ1onsiDVmLcPUg2dM2Q0YsRQbJAAmwqAFACUcuwBP2p9qSPvy3YD3u7iChyc4IduoSu9dgB1m+tsr4QyZGaB7mVErk+8CfCKjwpCfId8NWO8yo66SVCRdJ6MqRa0OlcqxunJDOsRSbJAAmAiDFgCcaW7vEm+qa8JyDfkZ8kWkRk0P8GSbT0q7pOq9AZPDJtlOrJVN+i8Ut6rvE6UNqIzaqGuvbBfn89UthvwMo+13wXWS/4x8F24GhliKDRIAE2HQAoAz8ukjR1KNmT5CRPTQwhDieIEm7Ekx7Gd4qnlHM4njBbp9uv6bgDmEZkmbgcWdrzXkZ1jR8hPZ4gL5tk5jnjrH5EmbXEXnuHaTK718c1zaBMyIQgJERKfypP1KwrIqDfkZV4JYig0SABNh0AKAMwHp0h4AaSXGTB8hInp1fQxxvECvro8x7Gd4qo/8EgyrU+8g34hpb0KxYT/Haj7rK2E78ptQw35GcW2reG13u+k+C+9vjTd8DNbJ1mMY9bbyShBLsUECYCIMWgBwxiciT7yp1rd2GPZzJuxJcfuFjlb1xIoI4niB3tqk/x4ADh1dPXTzFKFf1KtX47lV0cTxAr2+Idawn9HZ3UO39O0FsEDINOznGGnUkjDieIE+8jN2t2/Hm8RPdxpTkvVKEEuxQQJgIgxaAHDGUYHE6Moaq0KkBXy1LcYlGp6mub2LbuoLzJcEGhuYP7LYHuT9Z4dnlAKVlwCdfsjYzaee+TbK0EpcRmrr7BaTQ6PHoKMU6OMGvmn4IcRSbJAAmAiDFgCcebSvvruRT4+JiKJzpHnOIWeNqRLiiU7nS/OijapS4/BeX/D18CLjpsNYSWFNi3htN588b+jPmnLgjFhlqdvNNsvLqpDWER1MNrbK15JA+1qDmw1ck/FDiKXYIAEwEQYtAFyNvMb5tyE5hv6sprZOlz2p9iTyKVyVjcZW51kv+1ml9f1/Q7e98VJ1nvTSBkN/1p74IvFnnTOoio5R5FWMjL5OR9PKDC95+0OIpdggATARBi0AXE1wplTZxRXVR8Z4RxLHC/RPX/eb5mBV/9mRSBwv0F8M2sVZTl7r/VByqeE/z2wT9trXrQybHWj4U/mz5dJTdHdbZP3pziTieIH+NOeE4ddJvmDaVQ8SEEux8bgEoL29nSZPnkx/+MMf6LrrrqMHH3yQgoKCFJ1bWlpKY8eOpV/+8pf0i1/8gl544QXKz89n7gsGLQBczaKALLHEYVNbp+E/zzHN4c4ZAW674ZGVdHX3iJu4fexn/Lz8jq4eunNGAHG8QFMOGDsn3gpGfhNKHC/Qu1viDf9ZXd3Stf3KjUrldvf00p/mnCCOF2j8DtcszHXsXP4XrxCXTJdCLMXG4xKAcePG0aBBg2jixInk6+tLI0aMoEGDBlF0dPRVz2tubqbbbruNfv/739PixYtpxYoV9Mc//pH+93//l2pqapj6gkELAD+mu6dXDHCeXRXlkp95JFV6fW/kngOeQl6bf5+Lnhr/e8Np4niBHloYQp3dxtR7twL5E3mfiDyX/MxPtieKCXJze5dLfqZW8rdCe+JdU8J0++lCl765RCzFxqMSgLi4OLLZbLR06VLxz9ra2uiWW26hESNGXPXcxYsXk81mo/h46UlDVlYWXXPNNTR16lSm/mDQAsCPCcuqFG+i204VuORntnV20z1z7U8Lx/medsnP7M/G70hyecC4O06aq364Hydx/92XKi42La5tdcnPDDnr+oROq8/79km4aYpA5Q2uWRfS0NpJt00/Thwv0IxD6Yb/PMRSbDwqAZg0aRJdc8011NjYeMmfe3l5kc1mo+LiH/+FHj58OA0fPvyyP3/yySfplltuYeoPBi0AXElbZ7dY33zIzACXTP9xcOxay/EChWW7bjfP/ibufK24qNqVU0baOrvpz/Ps046eWBFBrR3u8aRajXMXmui2afYA85Ptrit52imb0jXym1BqdOHvJYv00gZxDH62K9mlP3vLyfMUea4KU4AszKMSgNGjR9OQIUMu+/OQkBCy2Wx05MiRK57X09ND1157Lf3nP/+57P/NmDGDbDYbNTWprwqAQQsAP5Rb2UzvbI4Tg3Cv42dd+vOLa1vprpkB4qJB/5RSl5Xz6w86u3vo+Jlyun9+MHG8QLdNP045Lq4aI9/T4Z++p+jchSbq7XWv0pVX0tXdQ+HZleJmUxwvUHJRnUv74HeqQPzZr6yLofTSBstd287uHgo5e0EcgzdPESi3stnsbhkGsRQbj0oAhg4dSo8//vhlf56ZmUk2m418fHyueF51dTXZbDaaN2/eZf9v7dq1ZLPZKDs7+6o/u7KykjIyMi45/P39XTJo86qa6eW1J696vKTgeHGN8+MFJcfqaKfH8wqO51Y5P55dFeX0eOZb58fTK50fTyk4xnhH6nI8ucL58cSKCKfH6OXOj78rPB5fFu70eEzJsdT58aiCY9SSMKfH3xQcjyx2fvx1cajT4+FFzg/HYj3H8fLak9TR5fp53P4ppZf04+YpAg1fEExjvCPp2VVR9Nwq++/pi2vU/Zui6t8NFf82qPn9V/M7rvb3+MGFweKGS45ji8H16a+ks7uH3tgYe0k/7poZQI8sDqNnvo265Dt8YY39u/nh9/biFb4L+fX+4fV8+irXR/7v0Q//XXn8Cr/78t9hx+/hw4tC6fa+aSWOY01YrsuvbW9v7yUJuiPJe2RxGD210n4tHNf2JSfX9Meup3z8Xe06XukaPrI4TJx+4zjWu2iNhFmQALDxqARg8ODB9PTTT1/25/n5+WSz2cjb2/uK5xUXF5PNZqPFixdf9v82bdpENpuNUlKu/op39uzZZLPZrngYPWjTSxsu+ccABw4c1j8+3ZlE9a3m7cjrn1IqrgfAof64a2YA7YkvMu3pcFNbp1gms78dQ2YGkE9EnmnX9mJHN009eMb06+DsGDYr0PAN0qwACQAbj0oAPPUNwPnqFnpjY6wux5ub4pwebyk43t7s/HhHwfHulninx3sKjve3KjkSnB4fbHN+fKjg+MjP+fGxX6Ki45Ptzo//7HB+jN+R5PzY6fz4VMHx2a5kp8fnCo4vdjs/vlRwfLUnxekxQcmx9+rH1INnaENUPuVWWmOjoZb2LhLSymlpYDZN2p9KH2xLoPe32n+v3t5s/31/fYM+/4ao+XdCzb8F6n7flf9OX+n39uu9qbQ0MJv8U0pdum7javKqmmlT9HmacySDPt+VTO/1XZd3Ntuv8Zub4uiNjbFX/B7fvMJ3Ib/el19P6Zr98N8y+b9Hl/2bcoXfffnvsOP3cO6RTPo+sYRqmtvNvqxEZJ8utzWmgBYImfTZrmTx98Nxba90XX94TX/8el75Wv7wOv7wGn6xO5nmHc2kg8kl1NBqjTFoNCQAbDwqAcAaAAAAAID+A7EUG49KACZOnHjFKkALFy50WgXogQceuGIVoCeeeIIGDx7M1B8MWgAAAAB2iKXYeFQCEBsbe9k+AO3t7XTrrbfSQw89JP5ZUVERZWVduoX1okWLyGazUUJCgvhn2dnZdM011xDP80z9waAFAAAAYIdYio1HJQBERGPHjqVBgwbRpEmTyNfXl0aOHEmDBg2iyMhI8TOjRo0im+3SS9PU1ES33HIL/f73v6clS5aQt7c3/fGPf6Qbb7yRqqqqmPqCQQsAAADADrEUG49LANra2mjixIl0ww030LXXXkvDhw+nwMDASz5zpQSAiKikpIReffVV+p//+R/6+c9/Ts899xzl5rKXIcOgBQAAAGCHWIqNxyUAVoJBCwAAAMAOsRQbJAAmwqAFAAAAYIdYig0SABNh0AIAAACwQyzFBgmAiTBoAQAAANghlmKDBMBEGLQAAAAA7BBLsUECYCIMWgAAAAB2iKXYIAEwEQYtAAAAADvEUmyQAJgIgxYAAACAHWIpNkgATIRBCwAAAMAOsRQbJAAmwqAFAAAAYIdYig0SABNh0AIAAACwQyzFBgmAiTBoAQAAANghlmKDBMBEGLQAAAAA7BBLsUECYKKkpCSy2Wzk7+9PGRkZOHDgwPH/27v3oKjKNw7gr7CwsBiXRQTUFQJGTSqMxhpqLEuCssAQmbwwgpdUcvBSipWKFt5NFEsRzDTJccwZJ5uxi3SZLlihdlMyocILJogDeMlFXPj+/vjNnnHdBc6iy1k438/M+8ee856zzzmPr7zPnrNn2djY2NjsaB999BGEEDh69KjS07ouhQWAgsz/aNnY2NjY2NjY2DreduzYofS0rkthAaCg+vp6fPTRRzh69Kis6pZXCpzjUwbmgTlQe2MelG/MgXM05kH59uGHH0IIgUOHDik9retSWAB0AceP8/42Z8A8KI85cA7Mg/KYA+fAPCiPOegYFgBdAP9xOwfmQXnMgXNgHpTHHDgH5kF5zEHHsADoAviP2zkwD8pjDpwD86A85sA5MA/KYw46hgVAF8B/3M6BeVAec+AcmAflMQfOgXlQHnPQMSwAuoCamhosWbIENTU1SoeiasyD8pgD58A8KI85cA7Mg/KYg45hAUBEREREpCIsAIiIiIiIVIQFABERERGRirAAICIiIiJSERYAREREREQqwgLAiTU2NiIrKwvBwcHw8PDAQw89hIMHDyodlqp8/fXXEELYbD/88IPS4XVLV65cQXZ2NuLj4+Hn5wchBLZv326z7x9//IH4+Hh4eXnBz88PqampuHDhQucG3A3JzUFaWprNsTFw4MDOD7qbKS0txcyZMzF48GDodDoYDAakpKTg5MmTVn05DhxHbh44Fhzn+PHjGDNmDO6++254enrC398fw4YNw8cff2zVl2NBPhYATmzs2LHQaDSYN28eCgoKEBMTA41Gg++++07p0FTDXADMmjULRUVFFq22tlbp8LqlyspKCCHQv39/DB8+vNXJ59mzZ9GrVy+Eh4cjLy8Py5cvh5+fH6KionD9+vXOD7wbkZuDtLQ0aLVaq7Fh6w8z2Sc5ORlBQUHIzMzE1q1bkZOTg8DAQHh5eeHYsWNSP44Dx5KbB44Fxzlw4ADi4+OxdOlSFBYWYsOGDRg2bBiEECgoKJD6cSzYhwWAk/rpp58ghMDatWulZUajEeHh4YiJiVEwMnUxFwB79+5VOhTVaGxsxPnz5wEAhw8fbnXymZGRAU9PT5w+fVpaVlxcbPVHgewnNwdpaWnw8vLq5OjUoaSkxGrSUl5eDq1WiwkTJkjLOA4cS24eOBY6l8lkQlRUlMUVFo4F+7AAcFLz58+Hq6srLl26ZLF8xYoVEELgzJkzCkWmLjcXAJcvX8aNGzeUDklV2pp89u7dGykpKVbLBwwYgBEjRnRCdOogpwAwmUxW/1eRY0RHRyM6Olp6zXGgjFvzwLHQ+Z577jkEBgZKrzkW7MMCwEnFxsbinnvusVr+xRdfQAjBy4qdxFwA9OzZE0IIuLq6Yvjw4Th8+LDSoalCa5PPqqoqCCGwevVqq21SU1Oh1+s7KcLur70CoEePHtDpdBBCwM/PDy+99BKuXLnS+YGqQEtLC/r27Yu4uDgAHAdKuTUPAMdCZ7h69Spqa2vx119/ITc3F66urhg/fjwAjoWOYAHgpCIjI/Hkk09aLS8rK4MQAlu2bFEgKvUpKSlBcnIytm3bhv3792PlypXw9/eHh4cHfv75Z6XD6/Zam3yal+/cudNqm/nz50MIgcbGxk6KsntrqwB49dVXsWDBAuzZswe7d++Wvgj56KOP8mqZAxQVFUEIgW3btgHgOFDKrXkAOBY6w/Tp06UvV7u4uGDMmDGoq6sDwLHQESwAnFRYWBieeeYZq+V///03hBBYv369AlERAFRUVMDT0xPx8fFKh9LttTb5/PbbbyGEwJ49e6y2Wbx4MYQQqK+v76Qou7e2CgBbli9fDiEEdu/e7djAVObEiRPw9vZGTEwMTCYTAI4DJdjKQ2s4Fu6sEydOoLi4GO+//z6effZZJCUlobq6GgDHQkewAHBSvALg3MaOHQt3d/d2/wDQ7eEVAOXZWwBcu3YNLi4umDJlimMDU5Hz588jLCwMBoMB586dk5ZzHHSu1vLQGo4Fx3rqqacwdOhQtLS0cCx0AAsAJ8XvADg3838o/LKXY/E7AMqztwAAgICAACQlJTkuKBVpaGjAkCFDoNfrUVZWZrGO46DztJWHtnAsOE5BQQGEEPjzzz85FjqABYCTmjdvns2nAJkvKfIpQMpKTk6Gh4cHmpublQ6lW2tr8hkQENDqEx9sXT2jjrG3ALh8+TJ69OiBadOmOTYwFTAajRg2bBh0Oh0OHTpksw/HgePJyYMtHAuOtWHDBggh8NNPPwHgWLAXCwAn9eOPP1r9DkBjYyMiIiLw8MMPKxiZutj6BcFff/0Vbm5uSExMVCAidWlr8jljxgx4enpaFMPmK2T5+fmdGGX31loOjEYjLl++bNXffHVs3759nRRh92QymZCYmAiNRoMDBw602o/jwLHk5IFjwbFqamqsljU1NSE6Ohqenp7Sk5Y4FuzDAsCJpaSkQKPRYP78+SgoKMAjjzwCjUaDb775RunQVOOJJ57AyJEjsWzZMhQWFmLOnDnQ6XTw8fHBH3/8oXR43dbbb7+NnJwcZGRkQAiB0aNHIycnBzk5OWhoaAAAnDlzBv7+/ggPD8fGjRuxYsUK+Pn54b777uO9nndAezmorKyEr68vMjIykJeXh7y8PIwcORJCCDz99NO8OnabZs+eDSEEEhISrH5dtqioSOrHceBYcvLAseBYzz//PJ588kksXbpU+jXmQYMGQQiBdevWSf04FuzDAsCJGY1GzJs3D0FBQdBqtRg6dCg+++wzpcNSlby8PDz00EPQ6/XQaDQIDg5GamoqKioqlA6tWwsJCZEe93Zrq6yslPodP34ccXFx0Ol08PX1xYQJE6SnQtDtaS8H9fX1SE1NRUREBHQ6HbRaLSIjI7FixQo0NTUpHX6X9/jjj7d6/oWw/NPNceA4cvLAseBYu3fvRmxsLAIDA6HRaODn54fY2Fjs37/fqi/HgnwsAIiIiIiIVIQFABERERGRirAAICIiIiJSERYAREREREQqwgKAiIiIiEhFWAAQEREREakICwAiIiIiIhVhAUBEREREpCIsAIiIiIiIVIQFABERERGRirAAICIiIiJSERYAREREREQqwgKAiIiIiEhFWAAQETmp7du3QwiByspKpUPpdEof+40bN7Bs2TKEhobC09MTjz32GE6ePCl7+9WrV2PgwIFobm622OeiRYsQHBwMf39/zJ07Fy0tLQCA/Px8GAwGNDY23vFjISK6FQsAIupyfv/9dyQnJ6N///7QarXo06cPYmNjsXHjRoe8X0lJCZYsWYL6+nq71t0upSfBSrrTx15aWoqZM2di8ODB0Ol0MBgMSElJsTmpN5lMSEhIgL+/P5YtW4bc3Fz06tULAwYMwI0bN9p9r0uXLkGv1+O9996zWD5r1iwkJSWhrq4OdXV1uO+++7Bnzx4AgNFoRGBgIPLy8u7I8RIRtYUFABF1KSUlJXB3d0dERARycnKwdetWZGdnIy4uDuHh4Q55z7Vr17Y6GW1r3e0ymUwwGo3Sp8RqcqcLgOTkZAQFBSEzMxNbt25FTk4OAgMD4eXlhWPHjln0XbVqFXQ6HY4fPy4t27VrF4QQKC4ubve91q9fD29vbxiNRmnZ2bNn4evri4aGBmlZVlYWsrKyLF6HhISoMt9E1LlYABBRlzJy5EgEBATY/MS9pqbGIe+pRAFw9erVO7q/ruZOFwAlJSW4fv26xbLy8nJotVpMmDBBWtbQ0ABvb2+8/vrrFn0rKyshhMBbb73V7nvdf//9SE1NtVi2a9cuxMfHWyybOnUq1q1bJ70+cuQIhBD48ssvZR8XEVFHsAAgoi5l4MCBGD58uKy+VVVVmDx5MoKDg+Hu7o7Q0FDMmDFDmgieOnUKGRkZGDBgADw8PKDX6zFmzBiLSeeSJUsghLBqlZWVba4zv/+kSZPQu3dvuLu7Y/Dgwdi2bZtVnOb9lJWVYdy4cfD19cWQIUNsToLNfSsqKpCWlgYfHx94e3sjPT0d//33n9W+v/76azz44IPQarUICwvDli1bpH20Rc656UhMcuOxdexyz6c9oqOjER0dLb3etGkTevTogVOnTln0q6qqghACS5YsaXN///zzD4QQ2LFjh8XyjRs34oUXXpBeNzU1wWAwoKSkxKKfXq/HrFmzOng0RETysAAgoi4lLi4Od911l9VtG7c6d+4c+vTpA51Ohzlz5mDLli1YvHgx7rnnHunqwd69exEVFYXs7GwUFhbi9ddfh5+fH0JCQqSJ62+//YZx48ZBCIH169ejqKgIRUVFuHr1apvrqqur0a9fPxgMBrz55pvIz89HYmKi1Pdm5gnw4MGDMWrUKGzevBmbNm1qswB44IEHMHr0aGzevBlTp06FEMLidhIA+Pnnn6HVahEaGopVq1Zh+fLl6NOnD6KiototAOScG3tjsieeW4/dnvMpV0tLC/r27Yu4uDhp2YgRIxAZGYna2lqL9sMPP0AIgTVr1rS5zw8++ABCCPz+++8Wy0tKShAcHIyqqirU19dj0qRJSEhIsNo+NjYWDz74YIeOh4hILhYARNSlHDx4EK6urnB1dUVMTAyysrLw+eefo6mpyaLfxIkT4eLigsOHD1vtw3yP9bVr16zWmSd6O3fulJZ15BagKVOmIDg4GBcvXrRYPnbsWPj4+Fi8t3kCPW7cOIu+bRUAkydPtuiblJQEf39/i2UJCQnQ6XQ4d+6ctKyiogIajabdAkDuubEnJnviufXY7TmfchUVFUEIIV1FMJlM8PLysnlVx9z27t3b5j4XLVoEIQSuXLlite6NN95AQEAA9Ho9pk+fbvM2r2nTpsHT09PuYyEisgcLACLqckpLS5GUlASdTidNzAICArB//34AQHNzM7y9vTFq1CjZ+2xqasLFixdRW1sLX19fzJkzR1pnbwHQ0tICX19fTJs2zeqTZPPE9vvvv5f6myfQ33zzjcW+2yoASktLLfrm5uZCCIFLly4B+P9k1tPTE+PHj7eKOSEhod0CQO65kRuTvfHcfOz2nk85Tpw4AW9vb8TExMBkMgEATp48KV21KC4utmjmKz3tPQo0IyMDGo3GrlhutmDBAgghbN7ORUR0p7AAIKIu6/r16ygtLcVrr70GDw8PuLm5oaysDNXV1RBCYOHChW1uf+3aNSxevBj9+vVDjx49LD7pnTRpktTP3gKgpqamzU+RhRDYt2+f1N88gT5z5ozFvtsqAKqrq232Nd+7/u+//0IIgezsbKuY586dK+sKgJxzIzcme+O5+djtPZ/tOX/+PMLCwmAwGCyuRnz++ecQQuCTTz6x2mbEiBEIDAxsd9+3WwBkZWVBCNGhKxpERHKxACCibsE8YVy6dKnsAmDKlClwcXHByy+/jL179+LgwYMoLi6Gv78/0tLSpH72FgDnz5+HEAKpqalWnySb281PLDJPoGtra20ek60CoL2+t1sAyD03cmO6nQLA3vPZloaGBgwZMgR6vR5lZWUW6/bt22fzSkxDQwPc3d0xY8aMdvdvvgXo8uXLsuK51YsvvgidTtehbYmI5GIBQETdwrFjxyCEwPTp02XfAuTj42P1abbRaISrq6vFJPett95qtQCwtc5kMuGuu+6yuqe/NY4oAEwmEzw8PDp8C5DccyM3JnvjuXVbe85na4xGI4YNGwadTodDhw5ZrS8uLoYQAgcOHLBYnpeXByEEfvvtt3bfw/wlYDl9beGXgImoM7AAIKIu5auvvrL5Q0mrV6+GEAK5ubkA5H0JWK/XIz093WLdmjVrIISwmOTm5+dDCIFffvnFal+trUtPT4e7u7vNpxVduHDB4rUjCgAAeO655zr8JWC558aemOyJ59Zt7TmftphMJiQmJkKj0VhN8M1qamrg4uKCefPmScvOnj2LXr16YeLEie2+BwD8/fffFl8stpder0dmZmaHtiUikosFABF1KZGRkbj77rvx8ssvo7CwEO+88w7Gjx8PV1dXhIaGSo/4rKqqQlBQkPQY0IKCAixduhSRkZFSn4kTJ8LV1RWzZ89GQUEB0tPT0a9fP6vbXEpLSyGEwMiRI7Fz507s3r1beoJLa+uqq6sREhICnU4n7X/lypVISUmBn5+fxTE5qgA4cuSI9PsHq1evxooVK9CnTx8MGTKk3QJA7rmxJyZ74rH1GFC559OW2bNnQwiBhIQE6XGtNzez0aNHw83NDdnZ2Vi3bh0MBgOioqKkL1fLce+993boaoX5h8C++OILu7clIrIHCwAi6lI+/fRTTJ48GYMGDULPnj3h7u6OiIgIZGZmWt0Hfvr0aUycOBEBAQHSD0/NnDlT+iEw8/PYe/XqhZ49eyI+Ph5//vknQkJCrCa5OTk56Nu3L1xcXKwm2q2tq6mpwcyZM2EwGODm5oagoCCMGDEChYWFFvt2VAEAAF9++SUeeOABuLu7Izw8HO+++y5eeeUVeHh4tHme7Tk39sQkNx5b28o9n7Y8/vjjbX6J2Kyurg6jR4+Gl5cXAgMDkZmZaff9/Lm5uejZs6fdX+RdsGAB+vfvb/MKFxHRncQCgIhIZUaNGoWIiAilw5A4Wzy3q6GhAXq9Hu+++67sbRobGxEUFIQNGzY4MDIiov9jAUCdsnKeAAAAs0lEQVRE1I3d+il0eXk53NzcMHXqVMbjQKtWrcLAgQPR3Nwsq39+fj4MBgMaGxsdHBkREQsAIqJuLSgoCK+++ioKCwuxcOFC6PV6eHl5oby8nPEQEakUCwAiom4sPT0dISEh0Gq18Pb2Rnx8PI4ePcp4iIhUjAUAEREREZGKsAAgIiIiIlIRFgBERERERCrCAoCIiIiISEVYABARERERqQgLACIiIiIiFWEBQERERESkIv8DTSLEJm+Lb8gAAAAASUVORK5CYII=\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f0285432978>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jupyter.plot1d(ai.integrate1d(img, 500, unit=\"2th_deg\", method=method))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will rotate the detector with a step size of 15 degrees"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Detector Pilatus 200k\t PixelSize= 1.720e-04, 1.720e-04 m\n",
      "SampleDetDist= 1.000000e-01m\tPONI= 3.500200e-02, 4.188201e-02m\trot1=0.000000  rot2= 0.000000  rot3= 0.000000 rad\n",
      "DirectBeamDist= 100.000mm\tCenter: x=243.500, y=203.500 pix\tTilt=0.000 deg  tiltPlanRotation= 0.000 deg\n",
      "Detector Pilatus 200k\t PixelSize= 1.720e-04, 1.720e-04 m\n",
      "SampleDetDist= 1.000000e-01m\tPONI= 3.500200e-02, 4.188201e-02m\trot1=0.000000  rot2= -0.261799  rot3= 0.000000 rad\n",
      "DirectBeamDist= 103.528mm\tCenter: x=243.500, y=47.716 pix\tTilt=15.000 deg  tiltPlanRotation= -90.000 deg\n",
      "Detector Pilatus 200k\t PixelSize= 1.720e-04, 1.720e-04 m\n",
      "SampleDetDist= 1.000000e-01m\tPONI= 3.500200e-02, 4.188201e-02m\trot1=0.000000  rot2= -0.523599  rot3= 0.000000 rad\n",
      "DirectBeamDist= 115.470mm\tCenter: x=243.500, y=-132.169 pix\tTilt=30.000 deg  tiltPlanRotation= -90.000 deg\n",
      "Detector Pilatus 200k\t PixelSize= 1.720e-04, 1.720e-04 m\n",
      "SampleDetDist= 1.000000e-01m\tPONI= 3.500200e-02, 4.188201e-02m\trot1=0.000000  rot2= -0.785398  rot3= 0.000000 rad\n",
      "DirectBeamDist= 141.421mm\tCenter: x=243.500, y=-377.895 pix\tTilt=45.000 deg  tiltPlanRotation= -90.000 deg\n",
      "Detector Pilatus 200k\t PixelSize= 1.720e-04, 1.720e-04 m\n",
      "SampleDetDist= 1.000000e-01m\tPONI= 3.500200e-02, 4.188201e-02m\trot1=0.000000  rot2= -1.047198  rot3= 0.000000 rad\n",
      "DirectBeamDist= 200.000mm\tCenter: x=243.500, y=-803.506 pix\tTilt=60.000 deg  tiltPlanRotation= -90.000 deg\n"
     ]
    }
   ],
   "source": [
    "step = 15*pi/180\n",
    "ais = []\n",
    "imgs = []\n",
    "fig, ax = subplots(1, 5, figsize=(10,2))\n",
    "for i in range(5):\n",
    "    my_ai = copy.deepcopy(ai)\n",
    "    my_ai.rot2 -= i*step\n",
    "    my_img = LaB6.fake_calibration_image(my_ai)\n",
    "    jupyter.display(my_img, label=\"Angle rot2: %.1f$^o$\"%numpy.degrees(my_ai.rot2), ax=ax[i])\n",
    "    ais.append(my_ai)\n",
    "    imgs.append(my_img)\n",
    "    print(my_ai)\n"
   ]
  },
  {
   "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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CL19t27dChzHjfmhm5YgCIIgCEI5JACGQQJAbwAIgiAIgiB+kpAAGAYJAJ0BIKYgF7t7oam9x+TzRpW3gJVnEdS3XRu3Obp7B+Cdw9lg6VkEw8Mj4zYPQRAEYX4oljIMEgAFAvDRRx+NmQXIxsaGsgARInzyz8Cu2BroHRgy91IQV3sH4MEtifD3dTFQd/GqSee+a20s3LU2Ft48mD1uc+xPPqWdJ7nm4rjNQ0x8ensGSAL1MNjRASMDA4r6jIyMwMjIxPs+R/r7YbjH9A80fgr09w5CXfFFuN7db+6ljBsUSxkGCYAeAbhw4QLU1tbCAO8vyKCgIFEdgPb2drj99tvh008/VTw/3bSTl+NnrsDODQvAe+N/IKq40dzLQaSduAAb9z8G6w/dC4tc40w2743+IXh+nSdYrN8Jf18bPW7zbA0qhPgXnoLQ154Ft6zTqo59LiMEcmZOh6zNX6o25plAD6iY8Ti0hPirNqaxDFy8CGctraBd42LwGDeu9kP4/mLIOXrKoP7DwyPgvP4oOCwOgY4rVxT3LyythMPzk+HwxnDFQeuVq5cgbME7kLZ7qeJ5T/slQMLX38GV7ELFfUcGBxX3MYTu4xUQ8uGPkPjFbhgRPNDSx0D3VYj/fDekf7EZhvvZgsnBri5IszsAeZu8mNfWeqodkn/MhPZGtt/50I0bEP/RNkh4ZxX0//81fuQ4ntAEUYfKoKeT7aHdyYJW8NmUBw1ll5jaK6WlvhNqcluYZLX/xiDE2pdDbihb8dFU7xNgb5cGAdsLmNqfKmyFmtwWprYTBYqlDGNKCsCRI0dg586dsGDBAuA4Dj788EPYuXMn7Ny5E7q6ugAAwMLCAjiOg6amJm2/oaEheOaZZ+DWW2+F7du3g4ODAzz44INw2223wcmTJxWvg27ayUtscjIcOvjfsMDxbgh0WmHu5SCi051hutd0mO41HTYfetlk87Z2XoczW/8Lynf/CdZvUB5YsRJi/TmcuPc+OHHvfeC/Z6WqYxc+cb92bLUYHU/NMY2l3spCu6bh3l6Dxojalwn2dmlgb5cG7Ze6FPcvyqvQ9vdc6ai4/4FF4dr+1zqUveny3zAXXOeGgcfX/tBeUaao7+icgR8dVNSvLeUYhH70IxSsdVDUzxBivvxR97spZ5Pkgl2B2j6NnvoTXvApXO+s7XM+r5apj5NdMtjbpYGjXTJT+0pNrHaO8k32su2HBoa17aMOsf1uR9vb26UxtVdCf++gduyK9GbZ9vmRp7Xt2850y7ZXsvaO1h5t24bS8ZGd8YBiKcOYkgJw11136c3IMxrwjyUAAAAdHR1gbW0Nf/zjH2HatGkwa9YsKC4uNmgddNNOXrzDtmiD7G8dZpp7OQi3uG3atVk6Pm6yeRtbLsC7LvfCdK/pcPDgf4/bPFH/fkIbvHqveEnVsfnB+kDHedXHnChUPfSgdk3X2gx7GuhipQsY4zNiFPdPj0nQCcBXbor7O87TBYZniksV9fX8cq+2b6G/srdVhgaLbhYhYG+XBk7W4/9WzmtugHaNLflsD6+iVwRr+xTtCWbqc9TSRdunMjCPqY/S7y99R4S2ffoqD9n2vT0DiucYTwHobr+hHdt9dY5s+3jnSm37umL5LY5K1t5QeknbNvKAsj8z5oRiKcOYkgIwUaCbdvKyJ8BaG2Tbal4w93IQ7rG7tGv70ukxk81bdLJEO++z7g+M2zwRHz6qE4Dl4kP7xsAP1q9UJKk+5kSh/EHdmk5VG3Zew83CTxtMpIWEKO6fGaR7gu86V/n2KCfrGN2T1Sz5wIqP61x/XVAZwL72kZERg4PF8QwyhXhYhmjnas6qYOqTuFr3neTsDJXvAADB1t7aPrXBbL8Dpd9D5tYgbfvUdfL3SU9n34QSAP5Td5bx031OaNtWZcq/MeCPLbcV7lzNFW3b4G+LmK/B3FAsZRgkAGaEbtrJyx6fOdpgd4FG3afQxuIWpXsD8KnzoyabN7s8UzvvdK/p4zZP6Ec6AfBd+raqY/OD9XNpPqqPOVEof0C3phMF8QaN4TLXVxtMJDuz7wEfJdVJFzxqLJULgLNVtLZ/bpSyp+p8eYl19WTu19fXq4oADA2M71kAN6ujuu08cWxnFVLX6H6fmdvZBCDARvemodqLbUsP/3sYHpJPoJC9Wfe7SlovL2udbdcV/Y6Gh4YN/p2ycOncVUXjZwWc5G0ZOifbnj/2QL/099lY0a5tG7KbBGCyQwJgRuimnbzs8v5aG+jO18w293IQjmGrtGv7UGM6AUguijWJAAR9ohOAgIVvqDo2P1g/FXXE6PFGhocnvABUprJt9xDiMtdHG0zEHZDfmiEk/qCbtr/LXF/F/Z2tonSBoa+ya3Cz0AW7UfauzP0621pVEYC+rvHNaONqpds2czKY7Q1PylpdoJ21ne2tSICtbhtYmQPbNjAUsF6XP3+Ss00nGYnr5H/Pl89fU/Q76rsxaPDvlIXWhi5F42f46wSgPE2ZAPR0SR96rj/epm0b+p1hW5vNAcVShkECYEbopp28bPP6gvcGYJa5l4M4GLhAu7aPTCgAMTlBJhGA4I95AmCr7iFnfrBeHrzb6PEGr19FY06UFIt8ASiNcjdoDJe5uoAxaq/ybEKRe3UHSF3nKn/bwt8CFO/qp6gvXwAi9jsz92utr1NFAHpaLivqqxQ3yzDdNhIPtifzyWt0W4AyNwcy9Qmcp+tz/GAkUx/+99B7Wf6Qa+YW3Rag5LUBsu0vNnYr+h3duNY/rgLQXKvbduO4IF22fbpvrbZ9adJZ2fb8tV+9Ii1UtfkXtG3Dvj/OfA3mhmIpwyABMCN0005eNnt8rA10F2om1iHg7/0stWv7xNl0ZwDC0txNswXoPzwBsFb3u+cH68d9Nxs9Xs+lc2jMoevXVVil8fDPABSHGJaVxpW3BSh8t/IsPmG7HbT93SyUbyHiC0CMvbI3EG4WurcXYXvYr/9MVYXBwSK/X2e9OgfM9cE/A1DqyLbFK3GVTujSN7JtyQqy1n2PBXvDZdsLz1D0tMhnoknbyBOA1fJvis6f6lD0OzLkzIASmip1226cFmXItk/z1p0BKI5vkm3PX3vXpRuSbauzz2vbHt1LAjDZIQEwI3TTTl42uH+gewPg/Ly5l4PY7vOldm1fmFAAghOPmEQAjvIOAfvPfVbVsfnBeqH7GqPHu3KmEo3Z1zExCpfxBaDA/4BBY/AFIGy78u1SQTuOaPu7z/FU3J8vANH7lb2BcLPQnT8I2XGYud+pwiJVBKC9skFRX6XwBaD4SCxTn/gVvEPdDIdtAfAh4GN75AVguA8H290N8hmoktfpBCBhubds+zPVlxX9jvhZesZDAPjbbpyXZMq2T/Gs0bYvjJGvMYPE8qL0A4bytHO6N1/7SpivwdxQLGUYJABmhG7aycta9/d4AvCcuZeD2OT1qXZtX5lQAPxifzCNAHzwiO4NwNdPqzo2P1jPdzK+lsGFk8fQmNda6lVYpfHwBeCY9w8GjeHK20YTvJk9iB4lcItOADy+Vn6GwMladwg4co+yNxBuFl66tW86xNyvOjsXBVzCqvH6ED75bi1ky5lvKB6Wodq5ig6ypTmNWaYTgOQ1ygUge2eYbPv+Trw9p7P2jGyfxLW6cwZxS+UFoLH8EppDjs6L+NDwiMqVpU8W6M6NaJbKC0CSW7W2fX6EfA0H/tqvXJA+W1KSeEYnAPspDehkhwTAjNBNO3lZ5fqWNtC1cX7G3MtBrPf4iCcApjsD4BW90yQCEP7+w9rgNeiLJ1Udmx+s5x5eYPR4zeVJaMzOxonxjy7/DEC2+y6DxuBvowlcr/wtgv+mwzwBUH4OgX8IOOJb+QJRfNwsPHVrX8de0Ks0JR0FXL032A7zDvbjg6bNmWypOQ3FnZcFqPBHtr350Ut0+/kTVynfApTJcHD4ems7+h7ay+WFOH6VTgBivpEXAH6uexYBuNyCDw0PDbFJHSsnjun23WsY3gAkulRp2+eGyX8//LVfPn9Nsm1xXKNOmqkOwKSHBMCM0E07eVnu+rqu2Jazuk+hjWU1b3vSlyYUANfILSYRgIj3HtIGr8GfqVvojB+s5+yzNnq8M4URaMz2E8ry1Y8XFTwByNRsNWgMvgD4r96nuL/f+kO6LUAGvAHgpwFVugXJlfcGwH8NuwAUxibiJ9gdbNVUe7vxU+YzieObgcXNSldjIf8H+a05AABR3+jeAMSvZBOAQGvdW6CMLfIZenqaL6Lvoa3whGyf2BW6LEBRi+QPi/O33LAIwKWzOE3n4IB8alIl1OS0KNoCxC8Elh10SrKt8M3SpXPSFbELoxtoC9AUggTAjNBNO3lZ4vKKNtCd46zuU2hjWeX2L+3aPjehADgcXWcSAYh8Z7o2eA35WN0tTvxgPev7OUaP15ATgMZsLVenuJixVN6vW1Oa/QaDxuDvo/dbYYAArD2oEwADzgDw3wCEbmHfxgMA4MqTF79V7G8vjkVEo4DrwgX5LC0AANcu4oOpjXHjm4PdzVqXBjRvz1GmPpGLebURlrMJQIA179zAxiDZ9lcbW9D30JIt/yYkZplOACIXygvAqSJlqVpbG3Gazv5edWs0VGU26wRgcYZs+zhH3UHzDH/pKs7CGgZtZ6SzKuVHnta2PfoDHQKe7JAAmBG6aScvi1xm6w7aap4w93IQy13f0a7tY80jJpv3MK/+wHgKQNRbD2qD19D/qCs4/GA9Y+dnRo9Xn+aBxmwuYtuPPd7wBSDl4CqDxkBB9DLlAuC7+oC2v9sc+a0dQpytIrX9gzeyP8UHAHDlpTD1Xc4uAFmh4SjgOtfIdqaj+yx+Kt0Qna9ovUpxtdZ9N7m72Ip6hS/SfSfRS9kEwM9aF5ynrpdPHdpV34y+h+Y0+afQUUt1c4QvkBcA/p57FgFoqetE7ftuqCsAFem6g7dODAIQY1+ukyof6TckgwNDaO2tjV2S7fPC67VtqRDY5IcEwIzQTTt5WaCZqQ10P9OY7qAtC8t45xP+o3nYZPPuC1lqEgGIfvMBbfB69N/qCg4/WE/b+pHR49UmOKExzxxjK7A03vAFIPHHZQaNwT8E7Ltkv+L+3it5AmChvA4AXwCCFJ5BcJmrCyp9lrKvPd0/GAfytWx/t3fWnUf96sOPKVqvUlysdW9HshmLeh1dqBOAyCVsAuBjpdufn7JWvk9n7Rn0PZxJkK9SHLlE97sKs5NPA8rfc88iAPw8/fZ2adDbMyDbRwllKWd1AsCQBjT6cJnuO/WokWw70IcF4EJ9p2T7nFBdHYugXWwVoicCFEsZBgmAGaGbdvJio3lel2vfhMW2WFji8oZ2bR9oHjLZvD8ELUICMDyk7pO0UWJe1wlA+L/UvT5+sJ668X2jx6uJPoTGrM9QXvF2PKi6T7emhO8WGTSG61zdoVHfRQYIwPL92v6uFmwBJx+NpW6bS8AaZfO7zNUFrt7fsPdN8fJHAdepcraDlB01TahfXdj4ngVxmafbqpS1VX5rDgBA2HydAIQvli+4BQDgbaUToqTV8r/DK9UN6HtoiMyV7RO+WCcAIbbyf35qcvE2IzmEaUNvXO2X7aOEkiSd9Dguki8EFnmgVNs+0bVKsq2winFLXYdk++ygU7o/M9sLFF2HOaFYyjBIAMwI3bSTF2vNs2bZZsPCN5rXtGv7l2b8nsQL+S5wPhKAvl62DClKiXtVJwCR746fAKSsfdfo8SqP/ojGPJniqsIqjaeaJwDx3843aAx+EO2zQHkWIK+lOgFwmcsWpPJBArBKmQBoLHWBq/ci9u1LSW6+KOA6Ucy2jeJyJQ58TwZnK1qvUjTzYrVzsVb1DeUJQNgiNgHwtNLVG0hcKR+ct5fhSsr1YfLfQ9ginQAE2chXfK7Kwm9bhmXSegrThvZ09cnOoYTjCTr5Y6kEHLG/RNs+wblSsm3vtQG09ubaK5LtMwNOatv6bx3fbWhqQrGUYZAAmBG6aScvls4zzLLNhoVFGt0B5XdcHjTZvLv95yEBuHpN+nW0oX1sKJQAACAASURBVMS/fL82eI16W13B4QfrySvfMnq88qDdaMyaOMOq7qpNNW9NcdvnGTSGZq4u+POZr2wPPgCA1zd8AZDPICOanycAfsuVnUHQ8PLkey1k75vo7IUCrspctif57aU48K0NyFC0XqU48wSAtapviJ1OAEIXsgkAv95AwnL5bVxtx0+i76EuJEu2T+gCnWgG2shfS2UGPmcwNCid1vN0KT6fca2jV3YOJRTF6lJvsrwBCP9RJwBxjtKHpK9396O1n625LNk+3a9W99Zuc56i6zAnFEsZBgmAGaGbdvIy1/kps2yzYWGB5iXt2t4yoQDs9LNEAnB5nKreJrykE4CYN9W7vpGRERSsJy173egxS323oTEro5RvlRkP+GuK22Jp0BgayzDdU3Q75YXAPBfv0/bXWLIdVMXz6wTAd6lSAdDlyfecz943wcEDBVxlGfJpHQEA2opqUb8aX/UrzvJxnhennSttnfxTcwCAIFvd9qbQBWwC4M4TgLil8gJwsaAGfQ8nAzNk+wQv0FUC9p8nvy5+tVt7uzQY7JdO61lXjFOTdl++ITuHEgqidG9/WAQg7Pvj2vax9uWSbXs6cWXlM1XSApDmfUIn7ZtIACY7JABmhG7aycsc5ye1ge77E0wA5mtmadf2mqvpBGC7rwUSgAuXmsdlnqRZOgGIe+0B1cYdGhxAgXHCN68YPeZxjw1ozNKw71RYqXEIRSd2o2HpTp15uea9DBGAhbo3ABpLtlSVeH7dQVffb5QJAH/tnnbsUhZ/2B0FXMeTU5j6teZXo37V3qmK1qsUJ5sE7Vwpa9jOnQTZ6AQgZD6rAOgkMJahSNeFY1Xoe6j1kxehoPk6AfCzll8X/9CtvZ18Wk9h2tCuS+oKQF6ELvWmA8MWoNDvirXtow9LC8DVK71o7Y0V7ZLtUzx1Aua9YXwPoqsJxVKGQQJgRuimnbx85fyENtB9z8V0++xZsHPWZSh62U29AFmOrT5fIQE4c6FhXOZJnsl7ev2qetfXf+MaCozjF71k9JhFLqvRmMcDd6iwUuMYGRrCArD2S4PG4Wfh8bJVLgAeC3QC4GwVobi/k3WM7mmmgn38AHjtnrbs5xdi97uggKswLoGp34WcCtSv0jNZ0XqV4mijK1iWvIpNAALm6QQgyI5NANx4b1JiFnvJtm/JKkffwwlveYEKsNOd1/BlEAD+oVt7uzTouy6d1UeYNrTz4nXZOZRwLKwejS9H8LdF2rZRh8ok23a330BjN5RJF6ZLctOJqNc6+QPYEwWKpQyDBMCM0E07efmCJwCm3GfPgo3zC9q1zTKhAGz2/hwJQN05+SqfhpDyAi9If0W967vedRlvjVkwy+gxCxyXoTGL/LYYv1AjGezrxQKwyrB6B/wA3NNGWSVeAAAPO74ARCnqOzIyAk7z4nVPMxcq21rlZB3NWzv7+YWYHzQo4MqPZKvrcD6jDPWrcBvfgnAONknauZJWsNVYQAJgyyYArjwBiF4oLwDNaaXoe6hmECF/W54AWMkfaOYfurW3S4Pea9ICUJuH04ZeuaBu8oKcYHz+Y2RE+lBy0K5CbduI/dJZpjov4grT9cfbJNsnaHRvYDzXTIyq5CxQLGUYJABmhG7ayctnmsfNss+ehXnOz2nXNtOEArDB6xMkADWN0q+vDSXtOZ4AvHy/auNevdSMA2O7mUaPmW//DRqz0HO9Cis1jr6ebnydyz82aBxHXgDuOU+5ALjzBMDJOkZR35HBQXCcp9vm4j1fqQDoDsl6zGOvIhz9nTMKuHJDw5n6NaeWoH7lGrY3B4Zib5uinSthGZsA8It6BTIKgAvvHEbkAnkBOJd8HH0PVe6Jsn18bXiHzRkEgH/o1t4uDa53S6f1FKYNvXz+muwcSsgKPIXGHx6SPpQcsL1A2zb8R+lCaVcu9KCx64qkz13FO1Vq27qvJgGY7JAAmBG6aScvH2se0wa6b7iaLshmwcpZl6L0eXfTrW2d50dIAMrqxqfSZMYzvH36L6knAB0tdTgwnve80WPmHlqIxixwW63CSo3jRvcVfJ1LPjRoHH4A7jnPXnF/dxtdITAn61hFfUf6+8HBJlknAAr28QNgefGwZt++FLXbCQVcWYFsh5fPJhahfqWO8YrWq4SRkRE0V/wS+cAcAMDXWpdtJ8CGLXWoi6VuK1XkfPl5ziTg76HCRf578LHRHTT2tpJPF1sY3YDm6OmUTutZnY3ThrY3X5WdQwkZ/jjz0dCAtAD4b83Xtj2697hk28vnr6GxTxa0SraPddBtRXNfNb6paNWEYinDIAEwI3TTTl4+0jyqDXRfnWACMJeXovRZEwrAGo8PkQAUnhifQ2ZZM3hVbGerJwDtjRU4MLZ+zugxs/fZojHznZersFLjuHb5Ir7OhYYVPHPg7TP3tDZAAObpBMBxnrIn4sO9vegpt5etMgFw4MmLhxX724vIXVgAMnzZ6hecictH/UodlAmPEoaHsQDEfcMmAPyqvv7z2ARAwzuIHT5f/k1DYyz+Hsqd42T7eM/jpWy1lP++8yNPozmuXpFO61mVidOGXjqrrgCk+5xA4w/IZCXy3ZynbRv6XbFk20vnrqKxa/MuSLaPPqw7g+G6Qj4F60SBYinDIAEwI3TTTl4+5AnAKybcZsOChfPT2rXN8DDd2la7v48E4FgVW4pEpeQ8xUvVOUs9AWg9VYgDY8tnjR4z6wcrNGae41IVVmocnW3n0JpiFrxn0Dj8feYe1srrG7hbH9L2d7CR3wrCZ+gqfvLpZaOsEBn/7YGHFbu8hG93RPOmebNtlWmMzkP9jh9WtuVJCUODw2iuWIbDuQAA3la8bDuMAuBspTtLcdROXgAaIvH3UOYoL0JePAHwtJSvF5EXjg/ddrdLZ/WpSMcCcLGxW3YOJaR64dSnclmJfDYe07YN2S39FrXtTDcauya3RbJ91EHdGQyXZSQAkx0SADNCN+3k5X3NI9pAd/YEEwB+itKnTCgAK9zfQwKQXT4+mU5yn+QJwIv3qTZuS3UOFgCLZ4weM+O7OWjM3MOLVFipcVxuacACYPeO4jFGRkbAwZYfRDsqHsPdiicAtsmyhyP59F7pwAJgzX6Qd3hkGL098LBkl5ejWx3QvMkebDn2G8JzUL/ig2yHhw1hsH8IzRWz0JOpn5cVP9sO25sNZ95B8DBbeQGoP5qN1lZyRF6EPOeF8X5XIbLtcwVZdzrbpLP6lKfiugGtDV2ycyiBn3rT3i4N+m5IC4DX+lxt26BdhZJtWxu70NjV2ecl2/OrDGuWjM8DmvGAYinDIAEwI3TTTl7+5fKw7qCtCbfZsMBPUfqEh+kOKC9zexsJQHrp+Bx0PPaELnhNmameADSXpWIB+HqG0WOmf/slGjPn0HwVVmocbWdPYgGwUV7xeHhwUBBEOykew93qMApehgelAyM+11px9VYlAtA/iKunesxlX3vYFiwAiS5sB2zrQ7NQv8J9yrIeKaH/xgCaK4rhcC4AgKcV77AtowDwD1OH2soXAjsVjL+H44fkvwdPa74AyJ+5EGbd6WiVzuojrBvQUq9uBfNkD1wDordHOiuR51qdAATukBaAC/WdaOyqTOnaK/wqw86LM5ReitmgWMowSADMCN20k5d3eQJgyoO2LHzprMtQ9Kin6QRgieubSABSisfnKWfe47rgNfUF9QTg3PFELABfPGX0mGk7PkNjZu+bp8JKjeNCYxVaU7T1G4rH6L+B0w+6WzorHsPd8ggaY7BX+rAmn85z+KmtpxV7Jp/rfTh3uvtc9rWHbsICkODMFlzXBWWgfgV7ldc9YKX3Ki4OxXI4FwDAw5J/2FZ+q83IyAg6TB1iIy8AJwPx91B8IFJ+XdZHefdZmGz77CCcdedKi7QACOsGnD/VITuHEvi59+3t0uDGVemsRO6rdW+LArYXSLY9fwq/CatIPyfZ/uheXRYmlqrEEwWKpQyDBMCM0E07eXnL5SFtoPvMBBOAz511GYoe9nxQ0dYKY/jG9Q0kAIkF8v9YG0L+Y7rgNe159QTgTGEMrgPw+ZNGj5m67RM0ZtZeSxVWahwt9eVYACxfVzzGjat464FhAmAvCIzYD19ebsSpHj2t2DP5dPXgg5Puc12Y+4ZuwAIQ5+DB1O+kfxrql/89W/pQQ7h+BZ+PiGAUAHcr3ZN2LxYBGBpCmaCCGQTghB/+Hor2yYuQu7WuarMbQ8VoYdrN9mbptJ7CugHnaq/IzqGEJFdc/VguLan7Kt02Kb8t+ZJtm2uvoLHLUs5Ktg/7nicADFWJJwoUSxkGCYAZoZt28vIGTwCeNuE+exY+dX4UBeKDMnmn1WKRy2to3tg8tm0ESinkCUD6c+oJQFNeOBaAT58wesyULR+hMTO/tzB+oUZytrYIC4DFq4rHuNpxWSAA7EH0KO5z8YHanivsT15bT+IgT0kmn44u/NRUiQCErMfSEnPEjanfCZ9k1O/YHvlA1lCuXcRyFm7HJgBuVron7Z5W8nvt/y8Vq+4geNA8+YrDNd4paG0Fe+VFyI0nAK6W8u0zA3DaTbmsPsVxWCbP1lyWnUMJiS5YAOTSkrqt0AmA76Y8ybZna/Cfw9IkaQEI/a5Y136+fFXiiQLFUoZBAmBG6KadvLzu+pBZ9tmz8InzIygQv94v/cRJLRa4vIzmjT7GdkBSKUWP6oLXjGfVE4CGnBAsAB8/bvSYKRs/QGNm7PlahZUaR1N1HhaAr19WPEZne6vBQfQo7nNxSs2utkvMfc/X4NSKHpbsmXzaL19Cfd3msgXxAADBa/G2paiDbNd9wjMR9cv9dnzejgEAdJ/HQeFRWzYBcLXSBdoeVvJ77Yf7+tBB8EBr+T/vVR5YhPK/kxchN2tdsTEXK/k3BsK8+21npLP6FMZgAThTpa4AJGgq0fhyaUldl+vOSfhslE6l3FTZjsY+ntAk2T5kTzFqb6q3w8ZCsZRhkACYEbppJy+vuOoC3UdMuM+ehY+cH0aBePd16SwYamHn8hKaNzybLfBQSvEjvCfqz6gnAPWZAVgAPnrM6DGT172Pxkz/9gsVVmoc9RVZWAC+nK14jMutOHWi21xXxWO4z8VVdS+fl05hyOdMWQXqqySTz8XWC4YLwBosABH7NEz9qt3iUb+cnWwFxAyhs+kimivUhu3PoYuVLtB2t5IXlOHr+BxIgLW/bJ9KNyxCeXvk53G11hUbc7GSPzSc7leL5pDL6lMQ1YDaN1W0y86hhHhnLAByaUldlmZq23qty5Vs21iBBaA4rkmyfchuXIhNrirxRIFiKcMgATAjdNNOXl7iCcBDE0wA/qPBAtB+Vd1Dbfqw1cxC84ZmKA8KWTj+MO9Q7dPqCUBdqjcKjOM/fNToMZPXvofGTNvxqQorNY66kjQsAJ/PUjxGWzPeN60kiB7F3cJF8KRWevsCn9NFx1FfdwVZiC40nxOs3Z25b9AqnLkofC/bvFUucahf9nb5LTaG0lGPBSdkHlumIhdeUS8WARi8is9S+DMIQLkmAfU59q28CLlY69alYREAQeGtCzJZffIjcOGwhjL2N1EsxDliWe26JP1ARrNEJwCea3Ik2zaU4rdZhTGNku2Dv8UCIFeVeKJAsZRhkACYEbppJy+z3aajYHd4eOL8RfqB5iG0tpYrF00y7zzNTDRvULryg6EslDzES6v5lHoCcCrZHQvAv1UQgFXvoDFTt32swkqNo7YIZzuK/nSm4jFazuBc60qC6FHcLVzRGC2npYMXPqfyCrAAKMjkc05wgNhtridz38CVWADCvmMTgArHGNQva6v8IVtDuXwCv50JZhQAjbWuqJeblfxe+4EOfNbAz1q+KFqZIxah3J3yIqThCYCztXzdgDRvLAAtddIPQI4dxffy6ZI22TmUEOuABaDzorQAOC/WZUpyXy0tAPXHcTrcgqgGyfZBuwpR+0GZqsQTBYqlDIMEwIzQTTt5mSkQgIGhifMX6fsavLazl6SLw6iFteYFNK9/CvvBTCWUTucV1npSPQGoTdCgwDjhX48YPWbSirfQmCmbP1RhpcZRkxeLBeDjFxSP0dyA91krCaJHcbdwQ2Ocqz3F3PdEdi7q6z6XbSsOAMCZepwn3s2Cfe2BKwQCsIetAFq5fRTql7F5fA7IAwC0V+K3M0HWbALgzMvp78qw177vEj5r4GslXz24xD4W9WF5E6LhFRtztpavHCysvNssk9UnNxTfD3XF6j4wibUvR+PL1SVwWqQTALcV2ZJt64rwdq+8iNOS7QN3YAGQq0o8UaBYyjBIAMwI3bSTl+fdcZB9vV/6YJcpec8Fr62hlf3JqjFYap5D8/omsxdnUkLZg7rgNe8J9QTgRKwDFoD3HjZ6zKRlb2AB2PhvFVZqHNU5UVgA/vOc4jGaTuHMJq4GCICbhQcao6nqBHPfyrRM1NdNwSHkxlq8R9zVgv2sSuDyQ6hv6C62swelhyNRv/SN8sGyobSV4T3tgdby6TkBAJzm6Z7Osxy27b2I9597W8lLzfHD0ahP1jb5PnwxcZoXJ9teWHn3XI20AAgLh50qapWdQwkxR7AAXG6RTkvquDBdd28uz5Jse7IAH8Y/FlYv2T5gO35zJleVeKJAsZRhkACYEbppJy/Puj8oOGgr/Ze6KXnHBa+t7jz7k1VjmOv8LJrXO2nfuMxT/oAueM1/XD0BqIk6hALjxLcfMnrMpCWvoTGT1/9LhZUaR2UWTnca8+GzisdoOIGDGte5bE+Z+bhZeKExGsqrmPuWJ6WhvkoOIZ+uEsoLW4AMABCwDAtAyE627EMlB7EApG2Q3y5jKK1FOEVqgJV8ek4AQDn9WQ7b3jiPnz6zFA8rPoC/h8wt8iLErzbsOE++uriw8u7ZaumsPlmCwmEnC9QVgOjDZWh8uboEDvN1bV2WSQvAiWP4vEdOaJ1ke/9tWADkqhJPFCiWMgwSADNCN+3kZYZAADquqls+3hjeFghA7bkak8xroXkGzeuZ8MO4zFN5vy54LXhMPQGojtyPAuOkt1QQgMWv4DHXvqvCSo2jIiMUVzz+9zOKx6irxIdwlQTRo7hZeKMx6kvKmfuWxCWhvkrOINSVVwjWzhYgAwAELBEIwHY2ATh+IAL1S103fgLQko/fcPhbsaXjdbDRZejRWMtX8e45g4NPL4baAUX78PeQsYlBAHjVhh1tEmXbCyvvyqX1FNYNOHHsguwcSog6hAXg0jnpugT8tpqlmZJta3JbUPvsIOmHPf5b81F7uarEEwWKpQyDBMCM0E07eREKwKUudTNHGMObAgGoaiozybxznGeged3jdqs+x8jICFTdpwteCx9VTwAqj/6Ag/U3phs9ZtLCl/CYq99WYaXGUZ4ahAXg/RmKx6gtx3uJlQTRo7hZ+OInr0XHmfsWRcUL5meryAsAcLKkRNCXvV6F/zdYAIK3sVUgLt4Xjvolr5XPmGMozTn4DYcfgwCMjIygnP4sh22vNeLDxp4MtQMKfsDfQ9pGeRHiv5lwsEmWbS+svNtUKZ3WU1g3oCaXPR0tC5EHStH4UnUJRkZGUFvnJdICUJV1HrXPCjgp2d5vCxYAuarEEwWKpQyDBMCM0E07eXnKAwfZF66o+9TIGF5zfQCtrex0sUnm/dr5aTSva+wu1ecYGh6Bal7wWvywegJQEbIHb9d53XgBSJw/G28rWvmmCis1jrIkf1zv4L2nFY9RczzP4CB6FDcLPzRGbX4hc9+C8FjB/J7MfU8U4lSILnPZg3H/xVgAgrawCUDR3qOoX9LqcRSADPyGw9dSfq7hgQHUx4nhsG33qbOojwdD6tD87/D3kLpeXgD4bybsbVNki1cJK+82yuT1F9YNqM5WN2lCxH4sABcb9QvA8NAwFoDFGZJjV2ZgCcvwq5Vs77sJ/7mVq0o8UaBYyjBIAMwI3bSTlycFAtDcdsbcS9LyqkAAjp/KN8m8X2meQvNqorepPkf/4BAKXo8/pJ4AlAfuxALwmvH1HRJtX8QHi5e/rsJKjaM03genO333KcVjVBXmCIJo5VtaXC0CcOCVk8fc91gI3kuu5AxCtSCFqJK1+y/CAhC4+RBTv8Lvw1C/xFXjUyUbAOBsKt5y4mMpf32DN3qxAMyLl+3TVYvTqbpbyVf1PbYbfw+pMm9CRkZGwMEGVw8elsm4Jqy8K5fXP90XC0BVZrPsdSghYh9+4yRVmGxoEAuA06IMybHL03BNizQf6YP0PhuPofZyVYknChRLGQYJgBmhm3by8oRAAM60SudfNiUvu2EBKKyVTiWnFl86P4nmdYrcrPocff2DKHgtna6eAJT5b8UZe15VQQDmzcQCsPRVFVZqHCUxHnhNbz+peIyKPJyFx2Wu8qw2rnOD0BiVmdI5z/nkBIYL5mffglSZk2vw2v0WHkR9AzayZboq+A4Hvgkrxk8AziQVo7m8LeWvb6D7GurDcti2s0pQC4KhdkDurlDUJ3mNjAAMDYG9bQrqM9QnvW1FWHm3oVRaANIEhcMq0s/JXocSwn/EAiBVmGxwYAj/HhamS45dloLfwqR6SZ/38t6ABUCuKvFEgWIpwyABMCN0005eHhMIwOkW02TaYWG2QADyqqX/EVGLL5yfQPM6Rm5UfY4bN/pQ8Fr24H2yWwJYKfHZhAXgFeMFIMnqefy0fcnLKqzUOI5HuuFtSW8pF4CynDQUSLjMVZ7X3mVuMBqjPE064wmfLN9QwfzsAXV5ZragL3tRLqEABG5gE4C83Xi98cuVn5lgpSkeb3HyspT/3fRdwUW9HGySZP9cXSnH6TNdrSNl58neHoL6JMm8CRnu70ft7e3SYOC69FNrYeVducJeqYLCYeWp6grA0b34wLxUYbKBPiwADguk/+4uSTqDhcpDOtbwWo/lV64q8USBYinDIAEwI3TTTl4e9cQCcOrsxPkdvygQgJxK+YNzavC58+NoXvvwdarP0XPtBgpeKx64D4aHVRIAr/W4au/LDxg9ZtLc57AALHpJhZUaR3G4s+Cw8xOKxyjJSkWBhMZSPgOMEBdLHBSXJqcx983wxoGkkn38pWnpBq/ddwHeAhSwjk0Aju3C641bOn4C0BiDD3p6WsoLTu9FXNTLwTYZRgalc8RfLsFbZ1ys5VOHZm3Db30SV0oLwFBvn0gA+q9KB63Cyrv1x2UEQFA3oDT5rOx1KCHseywAzSf1C0B/7yC+3vnSfyZKErEAJLnJCMA6LAByVYknChRLGQYJgBmhm3by8rBAAE40sacwHG9ecMcCkFkmXzxHDT5zfgzNe/joatXn6OrsRsFr5f33weDQsCpjF7uvxgLwkvECkGjxLBaAhbOMX6iRFIU5YgF4/XHFYxxPx2k4NZbyGWCEaCzxgdDjCSnMfVM9cCCpZB9/SXKawWv3nY8FwH/tAaZ+uTuxAMQsGT8BaIjE2zw8GASn53ybKNAe7pM+IHqpGAfOLKlDMzbj31vCCunvYaDnumhdfVf0H6IFEFfelavsm+KBr6MkUd3zXKHf4S1Z507oL0zWd2NQdL1Sb2KOJ+Cqz0mu0rU0PNfgsztyVYknChRLGQYJgBmhm3by8pBAAKpOs6cwHG+eFQhAWon8P8xq8Knzo2jeQ2ErVZ/jyuXLKHitvvc+6B+QPhTISpHrCiwAs1UQgK+fwRl35r+owkqNozDEHh92fvUxxWMUpSTg4M9S/gCoEI0V3sdfGCuf432UFDd/gQCw7+M/niCUF/a1+9oJBGA1mwDk7MACEP3N+AnA6XAc5LkzCM7VphZR4Dl0VbpgVVsBzrbDkjo0fWMgfhMisxVq4GqPaF032vUfogUQV96Vq+yb7I7rBhxPaJK9DiWE7MECIFWYrLdnQHS9IxJvOIvjsAAkukgLgMdqfG/IVSWeKFAsZRgkAGaEbtrJycjICAp0p3tNhzITZdphYYYHFoCUYvnDeWrwifMjaN4DIUtVn6PtYhsKXk/cex/ckDkUyEqhZikaN23W/UaPmfjVDJxz3/YFFVZqHAVBuOJxysuPKh8jMQ4Hf5bK7zFnK5zJpyCa/U1VkguuIaDkDEJhTILBaxcKgN8qNgHI3obPO0QtVl44jZX6MHzGwY1BcLpPnxcFngNd0sHhxVwcaDvPk//9pW3AmZ/ktkL1dXSL1nX9ov4n6ADiyrtylX2FhcOKYhtlr0MJIbvxmQypwmQ3ronPPAxLvOEsisWZmBI0lZJrcV+F7w25qsQTBYqlDIMEwIzQTTs5GR4ZFglASW2uuZel5UmBACQWKt+eYQgfa7AA7Av+RvU5WlvOiwTg2lXpypqsFDguxgLwogoC8OXTWABsnldhpcaRH3BAsNXpEeVjJETj4M8qQvEYTtZ4jLwI9jdViU64irCGYZ/7KAVRcQav3cdWIAAr9zP1y9qKBSBy0fgJQF1IFprLlSE7T5cgp7+9XRr0d0g/aW/NwoE2S+rQ1HVYAOS2QvVe7hKt61qzdFYfYeXdk/nSNVoSBYXDCqPVzegW/C0WgCaJugTXu8UCMDSoQACcpQXAbSUWgEtn1fm7c7yhWMowSADMCN20k5OBoQGRABTVSFdsNCWPCzIUxecrz9BiCB9pHkbz/hi0SPU5ms82iQSg44p0oR9W8u0XonHTZ6ogAJ8/hQXA+lkVVmoceX77sOjMVi4AeTH46b2zlXwGGCFO1riY17Gj8odIR0lw8BIIAPtB3vxwobywr93HBguA7wo2AcjYgve+RywcPwE4FZyB344wCE7HiSZR4Nl7Sf9hVQCACxn4cKujjfwWruS1eOuW3Fao6xeviNZ19az0oV5h5d3aPGkBSNBgASiIUlcAgnbhqtlSdQl6usSHngcltjgWRjegtvFO0gLgugLLoVRV4okExVKGQQJgRuimnZz0DfSLBCCvMtXcy9IizFAUlzd+VUf5/EfzEJr3h8D5qs9xpuGUSADa21pUGTvvkB0WgBdUEIDPnsQCYPWMCis1jmM+P+DrC+MndgAAIABJREFUfPFhxWPkROL9+04MB0CFOM6LR2PkhLBvxYk74iEQAPa3XMdCIw1eu888gQAsZxOA9E1YAMIXjJ8AnAzEAqCxkhery1WNosDzequ0WJ9PxXvbHWzks40lrcYCELVYRgBa2kXr6m6UDuiFlXdPHJP++yFBUDcgL+K07HUoIXAHFoDTpfoF5lqHWAAG+vULQEEUFoA4xwrJtbguxwIgVZV4IkGxlGGQAJgRumknJ9f7e0UCcKyC/QDjeCNcW3Que5VUY/hQIADfB9iqPsfpU9UiAbjYrM6e3WMH56FxM55XQQA+fQILgMUMFVZqHLle3+HrnPmQ4jGyw3EKTyeGA6BCHGzwXvysoDDmvrGH3AUCwN43J0goL+xr95l3GPX1WcomAGkbsQAcnT9+AlDrjwNIjZW84LSXnxYFnj0t0lttmpPx1hZ7W/ksTomr/FCfyEXSAnCt+ZJoXZ115yX7CCvv1uRKC0C8k0AAwtUVgIDtuPK0VFrSq1d6Rdfb36s/HWt+JP69xTpIC4DLUlzAT6oq8USCYinDIAEwI3TTTk66e6+LguysUtOk2pRjrPMJkdkeJpn7Aw2ed4//PNXnqKspFwlAS1OdKmPn7rNE42Y+p4IAfPI4FoA5T6uwUuPI8dyDr/MF5QKQFYaz2jgyHAAV4mCDs/Fk+LNv44k+4CIQAPZMPtkBuCqvo3Usc18fa6EA7GPql7oBZ78Jsxs/ATjhJxAABsG5VFInCjyvnZU+PHsusVDUR654WMIKLAByW6GunmkVzdFxUrpQl7DybnW2tDAIC4cdO1ov2V4p/tuwAEilJe1uvyEWgBv6BSAvAgtAjL10OmrNEiwALRJViScSFEsZBgmAGaGbdnLSceOaKMjOOM6+f3k86R/sE60tPMvFJHP/WyAAu/0sVZ/jZGWxSADO1UmnvmMlZ68FDoyfvc/oMRM/egyNGfPVUyqs1Diy3XehNWU9N13xGJnB+Im247wExWPY2yajMdJ92M+qRO3HAuDMcNB1lCxfobzIH14dxdsKC4D3N2xvAFLWYwEItR1HAfBOwd8Ng+BcLDopCjy7G6WfnJ+Nzxf1kUpZCQAQvxxnbwpfKP0GoLtBnJ70Sk2TZB9h5d2qLGkBEBYOyw1TWQC24u/pVKF+seq6JBaAvusDetvnhdejttGHpQXA+Ru8Pez8KelzHhMFiqUMgwTAjNBNOzlp7+kWBdkphcrzoI8H1/t6RGsLy3A2ydzva/DZg12+FqrPUVOaJxKAxhOlqoyd/f1XODB+RgUB+M+jWAC+VF51V22yXXegNWU/q1wA0gPxXm4HhgOgQuxtcaCa5sVezCviR2eBALBn8sn0NlxevK2O4DcAi9kEIHktFoAQ2/GrA1DticXKiUEAWgtrRYFnV32zZJ+mmDxRH6mUlQAAccuwABydL/09dNaJ05O2V0gf0hVW3q3KlL4OYeGwnFB13iiO4rcFC4BUVqLONnHhs94e/QJwLEwgAIfKJNfitBgLQHOtdErViQLFUoZBAmBG6KadnFy82iEKspPy2bcvjCfd17tEawtJtTfJ3O+5YAHY6fO16nNUFmWLBOB0pTo1GLL2fI4D4xkqCMAHAgH4wvwCkKXZjtaUO+NBxWOk+eOtHCwHQPmMjIyIAp0UDz/m/hF7nQQCwJ7JJ8MjQLB2dnnxtsQC4L2IbQtQ0ho8Z7DNOAqAB95a5cSwPas1v0b0++g8dVayT2NUrqiPVMpKAIDYpT6ofZiMAHScPCea41KZ9BN6YeXdygxpARAWDssJVlcAfDdhUZLKStTROkbhs2v665zkhuKtW1EHpR+GOC5KR+2lqhJPJCiWMgwSADNCN+3k5Hz3ZVGQHX+M/enleNJxtV20tqCUwyaZ+12BAOzw+UL1OSry00QCcLI0W5Wxs3Z/isbNUUUAHsEC8NnjKqzUODKdtmABeFq5AKT64ie59rYpsvu/+YwMiwUg2YU9KA7/zlHwlJs9k0+am+Hy4m1pjwVgIdsbgMTVWACC5rHLjlKq3BIFbzjktzi15FaLfh8dJ85I9mmIyBH1GejXv18dACBmCRaAUDvp3/mVGnF60rbjpyT7CAWgIl36zICwcFh2kPT4SvHZeAyNL3Uo+coFsQBc79YvADkhWAAiD8gIwAIsAFJViScSFEsZBgmAGaGbdnJytvOSKMiOzR2/J3pKaO+6KFpbYBJbkGIs7wgEYLv3Z6rPUZqbKBKAmqI0VcbO3PUJFoCnVRCAfwsE4NPHVFipcWQ4bEJrynvyAcVjpHh5i4O/If1bFYQMDw2L+ic6ezH3P7rHQSAA7Jl8UjU4CGXJXjOK11wsAF6MApCwCgtA4DgKQKULTq/KssXpfE6V6PdxuapJss/po9miPv03pKtyx3yDv3u5rVDtleL0pK2FtZJ9hJV3y1OlBUBYOCwrUF0B8N6ABUDqUPLllmui6+3p6tPbPicYC0DEfmkBsJ+Px26qVKeGynhDsZRhkACYEbppJydNV8RBdnS2p7mXBQAAF680i9bmn/ijSeZ+WyAAW7w+VX2O4sxYkQBUHVMnBWvGjo/wk/GnVBCAfz2MBeDjR1VYqXFk2G9Aa8p/QrkAJHt4iQKV3r4bzP2HBscQACd2AQjbLRQA9kw+yU7itQ8PS29dGcVrLp7XawGbAMSvxAIQYD1+AlChwQLgYJMk2+d8VoXoO5Hba18fminq039V+h6IXowFINhW+nu4VNEgmuNCXo1kH2Hl3bIU6a1MwsJhmQEnJdsrxWs93ioldSi5vXkMAejULwDZQaewAOwr0dt2rG13jRJViScSFEsZBgmAGaGbdnJyuv28KMiOyHQz97IAAKCl/axobb4J35tk7jddH8AC4PmR6nMUpkeKBKA8W3kRqrFI3/YhGvfYkyoIwHsPYQH4SHnVXbVJP7wOranwceXpTpPcPETBxLUe9pzig/1Dov7x9u7M/UN34b34StKQJjt4iuYeGtJfbImPl4VAAOYfYOoXu0IoAONXnK/cOU4gAPJbnM6ll4m+k0ul0nvh64IyRH16u3ok+0QtwgIQZCMtAG2l9aI5zudIZ/0SVt4tTZYWAGHhsAx/lQVgHRYAqTMJl85dFf+56ujV2z4rEAtA+I8SAjDGtjupqsQTCYqlDIMEwIzQTTs5OdV2RhRkH003TaYdOc61NYjW5h232yRzvy4QgE0eH6o+R0FKqEgAyjLYU0BKkbb1A7w15gnjBSBJIACxH04AATi4Bq2p6DHlApDg4iYKJrq62PcTD/QOiPrHHXZl7h+yQygA7Kk8k464iwPXfv1BFh8vC3z2wMuOUQCWYwHwH0cBKHOMxdfHsMXpXGqp6Du5WCwdCJ8MSBP1uXFZurJs5EIsAIEyAnCx+JRojuZM6WJXgTuxAJQkSZ9lEBYOS/eT3mKkFM81+KyE1JmES2fFAnD1iv57MzMAp289uve43rZjbbs7XaK/KNlEgmIpwyABMCN0005Oai6Ig+yQVEdzLwsAAJpa60Rr84zdYZK5XxMIwEb3f6s+R15ikEgAjiez54+XIm3z+3hrzOMqCMA707EAfPCwCis1jrQDq9Gaih9RLgDxzmIBuHKJPZjo7+kT9Y85yF6vImQHzsevJJVn4kFX0dzXe64x9fWywNmHPBkFIGYZFgC/cRSAUvsY0fXJcTb5uKiP3F57YcVhe7s06GmTLiwlFICAedLfw4UCcX2Cc+nSue4Dd+DCWyWJ0gIgLByW7nNCsr1SPFZjAZA6k3CxqVt0vd3t+rdVZfjj7yfse/0CMNa2O6mqxBMJiqUMgwTAjNBNOzmpOn9SnGkn2TSZduRobDkhWpt79HaTzP2qQAA2uP9L9Tly4/xEAlCUoM5+6tSN76FxCx5TQQDeFgjAv80vAKn7VmKBeli5AMQ5uoiCiUsXpQsu8enrFuc7j96vYe4fvA0LgJJUngn7xWvv7mKriOopFABbNgGIFgqA1fhlDSs5HC26PrkzDmcSi0V95Pban/BNFfW5dkH6LVDEAnx43F9GAFryTojmOJMifdA1YDsWgOMJTZLthYXD0rzVFQD3VfiwtNSWpNbGLtH1dl3SLwDpfrh+Q+h3xXrbDg6It93VFemvSjyRoFjKMEgAzAjdtJOTinPiIDsgiS0QGG/qzlWK1uYWtcUkc7/shgVgvfu7qs+RHe0lEoD8WPbDo1KkrH8X741/VAUBeEsgAP96SIWVGkfq3uVoTaUPKb/OWHuNKJi42Cy915rPjU5xusOoH52Y+wdvOSQQAPmDrqPE/Shee+dltsOQnnNwATJPm4NM/aKXYgHwHU8BOBQlur6hAen0nI1xRaI+cnvta7yTRX2unpN+ohyxAL8B8LOW/h7O54jTkzYl6n/KDSCuvFsc1yTZXlg4LNVLWnyU4rYSC4DUG4nWBrEAdLZd19s+3QcLUsge/QIwMMa5m5MF+qsSTyQoljIMEgAzQjft5KS0qUoUZPsl7DX3sgAAoPZMqWhtrpEbTTL3SwIBWOf2jupzZEa4iQTgWCT73nEpUta9jd8sPKKCALz5IBoz7j3zC0DK90vxGYoHlV9nzGFnUTDR0iidNYbPjcvivc6RP7BvowvafBD3t2XP5R/3g3jtl1r1F2fi4zkHy4PnPDYBiFqCBcDHKpB5vUopPhApur7BXv2ZZAAAGmMLRH2asyol+1R7iAWg+4z0E+Xw+UIBkP4emrPE6Ukb44sk+wgr7xbFNkq2F9YNSPFUVwBcV2Qxv5Foqe8UC8BF/QKQ5i0QgN36v5v+3kESgCkGCYAZoZt2clLcIA6yfeJMk2lHjprGYtHaNOHrTTL3LIEArHF7S/U5MsOcRQKQc5T9ybEUyWvfxHvjHzZeAJLfEAjAu9NVWKmRa9rzDc6i9IDy64w+6CgKJprr2fOn91zsEPWP+M6BuX/QJqEAsBcii/1OvPaL56VzxY/iOQdvH2IVgMgl/qYTgP1iARjokT7k3BCVJ+ojt9e+yj1R1KerQX+RKwCAowIB8JURgHMZ4vSkp2MKJPv4bsbXUhijTACSPdT999p1ORYAqTcSLXXiPxcdrfozK6UKBCD4WwkBuCEWgNp8NvE1NxRLGQYJgBmhm3ZyUnhaHGR7xZom044clfUForU5ha8xydwvCgRgtesbqs+RFmwvEoCsYHXOXySvfgPvjTdga4xozNcFAvDOBBCA3YvQmirvV36dUQccRMHE2Vr2vdPdFy6L+ofvPsLcP3DDAVH/oUHpbS6jxOwRr73lTBNTX6EAeFgfYuoX+Q0WAG8rdQ6uj0XRvgjR9fV3S6fnrI84JupzJlV6r32la4L4aXWd9DmQMDssAHIidDZVnJ60Pipfso/PJiwABdHSb6aEhcOS3NT999plKa6XIPVGovmkWACutEgIgGcNahu0q1Bv277r4sxbJ46RAExmSADMCN20k5O8U3miINsjZqe5lwUAAOV1x0RrcwxbZZK5X3DHArDK9XXV50gJOCQSgMwAdc5fJK18HY1booIApLyGBSD+rQkgALsWoDVV32eAAOyzFwUTjdXSW0b4dDS3igVgF7sABKwXC8Bgn/Q2l1Gid4nXfu50PVNfzzk4g5CHNZt8Riw2nQAU/hguur6+jquSferDxQLQlCQtABUasQB01EqfA1EqAE3J4vSkdeHHJPv4bMTXUhAlLQDCwmFJrtJnH5SiWcIuAOdqr4iu9/J5/RmqUjywAATu1C8AvT1iAajJlX5jM1GgWMowSADMCN20k5Oc2twxDtpuM/eyAACg9GS2aG32octNMvfzAgFY6fKa6nMk++4XCUCGrzrnL5JWvIr3xk9XQQBefQALwJsPqrBS40jaYSf6Dlm3z4wSsVccRJ8uL2Puf7mpRdT/6E72NzkB68QC0Nsj/ZR7lGhBDQF7uzQ4c5It97vHHJz+1MOKbc3hi7AAeFkGM/UzhIIfxALQK5Ofvy4sR9SnUeawbZlTnKjPleomyT6htlgA5ESoMVGcnvRkaK5kH+/1WADyI05LthcWDktUWQCcv8EF0wol3kicqxELQHuzfgFIdseHpAN36N8edeNav1gAckgAJjMkAGaEbtrJSVZNpijIdokwTaYdOYpPZIjWdiRkiUnmflYgACtcXlV9jiTvH0TBa5qXOtuvEpe/gvfGG3A4VkjKK1gAEt6YAAKw3VYsADJpIoWEf39YFEzUHZcOGPlcOn1W1D90O9t+egAA/7X7Rf2vd7FVIo7aJl776Rq2oM9jjrtAANjeWhw1pQB8d1R0fTfapb+bUyHZoj6NcdKHbcscYkV92itlttsoFICGeHF60trgbMk+wsq7eeHSAiAsHJagUVcAnBZjAZB6I3GmWrw17tI5/W9vktywAARs1y8A17vFAlCdzZ6615xQLGUYJABmhG7ayUlGVaooyHYO32DuZQEAQGG1eG2HghabZO5nBAKwzOVl1edI8NgjCl5T3NUpdJa49GU0bsUD9wEoDIyFpL4sEIDXH1BlrcaQuM1GLAADA4rGCP9OHETXFkkHjHxaTzWJBWCbAgFYIxaAq1euMPWN3HpI1Le+QvrA6ygeczywAFgyCsBCLACeliFM/Qwhf0+YWI4uSn83J4OyRH1Ox+rfTgIAUHJkDAEok95KFWKDBcDLSlqETseK05OeCMyS7OO5FgvAsaPSaxIWDktwZt/KxoLjonT8RiJSv5A0VbaLBeCsfgFIdMVZkvy36j8f0dMlLr5XlUUCMJmZcgLQ19cHa9asgb/+9a/wq1/9Cp5++mlITmZLEZeSkgKzZ8+GP/7xj/C73/0OnnrqKfDx8TF4LXTTTk7SKpLE++yPrjP3sgAAIL8yUbS2A0ELTDL30x5YAJZqXlJ9jni3naLgNdl1qypjJyyZLT4cO8R2sFQfqS9hAUh8bQIIwBZr0Xc4xLh/fpSjuw+KgomaPOnDmXwu1J4W9Q/Zwn6Ww3+1WAC62tiKGkUIU4japUFtKdvbC485ngIBsGfqFyYQAI9xFIC83aGi6+tpka5zUBuYIepTHy2dbef4YXHF4bZi6UxQwQIB8LSS/h7qowpFc9T4Z0j28ViDtzPlhkkLgLBwWLyTygKwAAtAnsSWpKYKsQC0ndG/fStBgwXAb4uEAHSKBaAyo9moazMVFEsZxpQTgM8++wx+9rOfwapVq0Cj0cCzzz4LP/vZzyAnJ0eyX1RUFNx0003w3HPPwZEjR8De3h5efPFF4DgO9u/fb9Ba6KadnCSXxYuCbIcw02TakSO3PE4sAAF2Jpn7SYEALNHMVn2OOJdtouA10UmdOgcJ38xC41bddx+MDCgLjIWkzb4fjZn0ygQQgM2Wou9w8Drb/vlRwnaJg+iqHOm92Xyaq0+JBWAz+9+zfiv3ifp3tLDtZw7fJD4/cKKY7e2FWADYUpeGLhAKQChTP0M4tkssAFebL0n2OeGfLupTHyktdMcPiSsOXyySPksRPM9XkQDUReaL5qj2TZfs474aC0BOaJ1ke2HhsDjHCsn2SnGYj9efF65fSBrKLom/00YJAXCuRG19N+fpbXuto5cEYIoxpQSgsLAQOI6DvXt1hwJ7e3vh7rvvhmeffVay72uvvQZ33nkn9PGehA0ODsLdd98NDz/8sEHroZt2cpJQEiPeZx+60tzLAgCArLJo0dr2BdiYZO4nPB5E8y7WzFJ9jjinLaLgNcFBnbcvCYtexNlx7r0PhvqUBcZCJqIAJGy0EH2H/VelD4kKCd0pDqIrsqT3ZvM5W3FC1D944z7m/mMJwKWz+ius8gkfI4VoZb7+wImP+xwvHMjPZSteFroAFwJztwxj6mcIuTtDxAJwRrrgU41vmqjPKZlsO0UHxBWHW/Ok/60LEgiAh5W0CJ06Kq5PUOWdJtnHfRU+z5ATLC0AwsJhsQ7qCoBw/cck3kg0lIoFoLVB//mNeIEA+GzSfx9fvSIWgIp0tvoX5oZiKcOYUgKwevVquOWWW6C7G/9jtnv3buA4Ds6d03+zz5gxAx58UHxAb8aMGTBjxgyD1kM37eQktihSvM8+xDSZduTILIkQre1Hf2uTzP2Yp1AAXlR9jhiHjaLgNf6wOmlO4xfOFAfGN9gOluojfRYWgOSX7ldlrcaQsH6O6Dp7O9n2z48SskO8BacsI4O5f1Nptah/0AZ2AfBdIRaAi4yViI+uF6+9IpdNXtzneONAnlEAQubjNwBu4ygAOTuCRdfXLVOgq9o7VdRHLttO4T6xAFzIld4+E2iNBcDdSvp7qA0Vpyet8kyR7OO2AgtAdpD0tiRh4bAYe7bzICyMjIyI1p8r8UbidEmb+Ds9rf/voDhHXCjNZ6N+aetuvyEauzyVBGAyM6UE4NVXX4X77xf/A5uamgocx0F0dLTevmvXrgWO42DTpk1QX18Pp0+fhh07dsAtt9wCR48eNWg9dNNOTuKKjoqC7IPBpsm0I0d6cZhobT/4zTXJ3I8KBGChZqbqc0QfWSsKXmMPqCNfcQteEAfG16S3TsiR/iIWgJTZE0AA1n4lus7rV5RdZ/A2cQBelir9ZJZPQ7G4wmvQuh+Z+/suF89/4bT0k95Rjq4bQ14yM5n6us/Be9jdLdiqUAfPx28A3CwN+zeFheztYgGQK9BV5ZksFoAQ6W2zBT+KKw63ZEkHzwHWfooE4ESwOD1phbv0mT5h5d2sQGkBEBYOiz6sngAMD4sFQGpLUl3xRfF3Wt+pt32sA/5z5L1BvwB0XRILQFmKdN2GiQLFUoYxpQTgwQcfhJdfFmceqampAY7jwNnZWW/fnp4e+OSTT+Cmm24CjuOA4ziYNm0aREZGMs3d1tYG1dXV6BMZGUk37SQkuiB0jIO2psm0I0dKUYhobd/7Woz7vCMjI/CwQAAWaJ5XfZ6oQ6vEArBPHfmKs3teHBh3GpcnO2MmFoDUWeYXgPg1X4iu81q7soqgwVvFAfjxJOkns3zqC0tE/QPXsNdz8F0mnr+lli2Xf9jaMdaeziYv7nMET7At9P+bwifYDguAq1U4Uz9DyN4WJLq+jlPSe70r3cUCcCJIOttO/g/iisPN6dLFw4QC4GYlLUI1geL0pOWuSZJ9XJZhAcgMOCnZXlg4LPoQez0LOYaGhsUCILElqa5oDAGo69DbPta+HLX1Wq//rU1n23XR2KXJJACTmSklAP/4xz/grbfeEv28oaEBOI6DAwf0Z5kYHByETZs2wccffwyBgYHg5+cHL774Itx6662Qny+f3WLr1q1acRB+6KadXETmBYn32QeaJtOOHEkFgaK1feczZ9znHR4aFs073/k51eeJPLBCFLzG/KiOfMXZPicau+cy275yfWS8gMdLfXECCMCqz0XXebVV2WHAoM0/ioKJovhE5v6njokLPAWsZhcAn6XiIP5cDdvfs6FrxH2LU9jkxX2O4Am2hYapX5BIACKY+hlC5tYxBECmQm+lW6KoT42/tADkfScuONacViLZRywA0iJU7S9OT1quSZDso1mKK+9m+EsLgPcGLABRB6UlRglDA2IBkNqSdKpQXCH7/En9AhBzRCAA6yQE4KJYAEqSjPv7zVSQABjGlBIAY94A2NnZwSOPPALDvLzfAwMDcM8998DTTz8tOze9AZg6HD3mLwp295oo044cCXm+orXt8flq3OftH+gXzWvnLH3w3hAi9i0VBa/RP6gjX7E2z4rG7m6TTiEoR+bzgqJlMyeAAKz8THSdXS1NisYI2iQWgMJY6cCMz8lccX73gFU/MPf3WSIO4s+Us23dCF0t7luYwCYvbnPwXn53CxemfoG2WABcxlMANgeKrk+uQm+Fq1gAqv0yJPsc2yMuOHYuRTqdqr9AAOTehFT5ZormKHWSvs+cl+A+6X7Sb4a81uO6AZEH1BOAwf4h0fqltiSdzL8glqpa/edzog+Xobb/H3tvGVtHlub/Z38baWb3zY52tdK0tKu/tDvaTic3zcHGaaY0J82x7zU7jhMndpipw2i4jL5mZmaO47AddJgcRgf9/F/UqTp1farqnku221NfyZpSz8Fyufv5nPOAaZ6429aNS/dIACiRAWA46x8KANyNAXj06BGMHDkSFi0iizlFRkbC//t//w8ePXrk8nrkj3Z4Kr3eQvrZ2wcm044zFTaYibWts/zs83nv994n5g1ST/T6PFmbZhLGa85678BXQcBEYuwbF+ncSsRUO9lxvKo3Bh8ACqOmkfs86xropCzaRBgTLXkF1P0P15DZXexzXACAmaQR391BZ7ilRZPw0lxURNVXP71fNh8/HVW/5GBHo1yronMtdUfVS0gAcFahd6+mmOhz0CqdbrNhHQkAp0uk06kmqhwBytlNyAELmZ60I176d6XuV3m3yuYEAPpVDs7eKn2L4YoePyQBQMolqauJBICzneIAkLvDEQCMMeIAcP0CCQDtxac82d6ASbal3NM/FABER0cLZgFau3atZBagixcvwogRI2D+/PnE/xcWFgYjRoyABw8euLwe+aMdnkqtM5F+9okDk2nHmfLrjMTa1ph/9Pm8d+7dFgAA97JnSSlzwwzCeM1eG+iVsQtUE4ixr531rChQ7STH8aonDwEAmP09sc/rp6UDJfsreeFGwphoyhZPstBfh6rI7C72KHoAsESQAHCibTdV39S5JAA0UcKLfrqjcW3w01P1Swpy7KdR5VL1c0dVi5OI/fU4qdC7N6GI6HPALB0XUb+GrDh8uli6enB/AHAGQvtNlcQc7bukf1cJMxwBoNLaKdne1K9wWNZm7wHAo94nxPqlXJI6Gy8Q7c8cvibaPmdbh+P3GC2ezera+bvE2LuLTnmyvQGTbEu5p38oAGhpaSHqADx8+BD+9re/OaTyPHPmDHTxAsaePn0Kf/nLX+D//u//HE767969C//1X/8Fo0aNcms98kc7PJVcoyfdbGzKwV4WAADk1uqIta0yT/P5vDfuXCPmDVA7d51zVZm/h5IAsMY7775AOZ5t4xmxAAAgAElEQVQYu+eUZ8ZA3UTH8WomuffvEm+qMPI7cp8nDrs0RvIC8gagIYPeqD1QQQZ3Js7eQN3fMoMEgGMt0pVrWaVGkQDQkE23dp2fo3+93s9A1Y8EAHpYclVVi0gAuLJHGvA64guJPvtNFZJ96laRAHCqQDpezqbq7wol/d73GQUAYGe+ZJ/4cMdbgwqLNAAY+xUOy9xEVxWaRg8fkAAg5ZJ0uJ4EgNOHxAEge6sjAOjnigPA1XMCAFDY7dH+BkqyLeWe/qEAAABg6tSpMHLkSIiJiQGNRgOTJ0+GkSNHQm0tDmh65513YMQIx1ezZs0aGDFiBLzyyiuwbds22Lx5M7zwwgswYsQISExMdGst8kc7PJVYpSHdbAYg0JZG2TXk2laapvp83qs3rxDzqnwAABlrgwnjNWuVn1fGLvAjAeDyCTqjUkz1ExzHq504BAAg4ltin1eOu3bTkTSfvAGoT6f3a99XSvp2J87yDACONEoXrmKVIgAAdZl0a9f5OabY1PsZqfrZ+wGAOkDaiPVElQvtxP4ut0kHwu6JLSD67DNIB0bXriIrDnfnSRdUs/YDAE2ANAjtM5D1CXZvl+4TF9YPAEzScNu/cFjmRu8BQO+9xyQASLgkHao7T0LVgaui7bO3OmbT0s0RD9zuOXuHGLutQAaA4ax/OADo7e2F6Oho+Otf/wp/+tOfYNy4cVBS4hjgJQQAAAB2ux3Gjx8Pf/nLX+Bf/uVfYMKECZCR4X7BFvmjHZ6yVcaTbjYDEGhLo8zqOGJtK4zf+XzeS9fPE/Mq1eO8Pk/6mgDCeM1c8ZtXxi6YPo4Y+9JROqNSTA3jHcermzAEAGDG1+Q+j7iW+jAphgSAuhT63PZ7i0nfblukCwAQTgLA4TrpvPWsUmaRAFCbRpeWU+fnWGVX72ei6pcY2B8A6OMlXFXFAhIALrVK+8G378wn+uzVSefbr1lBAsDJHOm/F6uy302IExDq0JWTRutWabeh2FDH9uVGaQDQz3UEgIwNdK5kNOq9SwKAlEvSwVoBANgvDgBZm/sBQJQEAJwhAaA1j6543mBLtqXc0z8cAAwlyR/t8JSlfBdh7K62/DLYywIAgPTKWGJty43f+Hze81fOEPP6q1/3+jxpq5SE8ZqxzDtBzgW/vU6MfaGLrkCUmPoDQP34IQAAYV+R++x07dTTHr2BMCZqktKp++8pJE92bTPpAcAcRgLAoSq635UQANQk0x306PwdjV56AHB0HUoIKKTq547K5ycS+7vYJG0Et+/IIwFAI51vv3o5CQAnsqQhzKJ0DYQ6NGR9gtYt4gAgVHm3zCD931/dHMdUo+nrvQcAD+48ItYj5ZJ0oPoc0b57n3iRvsxNjul0tbPE/waunL5NjN2SKwPAcJYMAIMo+aMdnjKVbSfdbCw/DfayAAAgtXwHsbZlhq99Pu/ZiyeJeaerX/P6PGkr/AjjNX3JD14Zu+DX14ixzx2U9oN2psZxQxAAQr8k9nn+kHTwZn/Z55IAUJWYSt1/d14pCQARrgAAWc33AGUl4uRIMn6hyp5G1Vfr7+j3rvczU/Wz9QeAQLqsQ+6obB4JABcaDkr2aduWS/TpUEunRq1alkb0OZ4h7oMOAGBRugZCe9Tkd9K6Wdxdq0+g8m6p3gkA9KscnLZOOpORK7p/WwAAJFyS9ledJdqf3CsBABsdAUAjAQCXu0kAaM454dH+BkqyLeWeZAAYRMkf7fCUoWQr6WZj9o4R6qmSy7cRa1ti+Mrn83afP0rM+5v6Va/Pk7bsNxIAFnknyDn/l1eJsc/sp89tL6Sm1x3Haxg3BAAg+Atin2cPSPtu91fiHAEAsKRQ92/LIfPOW2fQZwEyh5IAsK+MrphXUgR5A1BppVu71t+x+JXOz0rVzxroGDsQH+jZdyWlshgSAM7XScd4tG3NIfrsiZdeY+XSVKLPsTTp4mHm/gAQKA0A7fHkd9K8Qdxd65lA5d0SnTT8aPsVDktd6z0AuHfrIbEeKZekfRUkAJzouCLaPmPDboe26khxALh08hYxdlO2DADDWTIADKLkj3Z4ylC8mTxlN/s+0JZG9tJNxNoW66f4fN5jZw8R8/7qAwBIXfIzYbymLfROjEPBzyQAnO7wLFiz+TXH8RpfHwIAEPQ5uc+9dP7zrBKjSACoMCVR92/NJNNOWsNdAIAQEgD2UhbzEgKAcnMyVV+NMrsfANio+lkD+gFAEH3VZFdVGm0j9neuZr9kn9bN2USf9ljpW4qKxSQAHE2VdsMyK10Dod2xZH2C5vXiAPD0CQkAxRppANBE+g4A7t4gAUDKJWlv+Rmi/fF2cQBIX98PACKqRdtePH6TBIAszwodDpRkW8o9yQAwiJI/2uEpXdEGwthdavp+sJcFAAC2ko3E2hbpv/D5vF2nDxDz/qJ+xevzpCwiq9imLvjWK2Pn//QKMXb3bs8KNrW86jhe02tDAAACPyP2eWqP9MltfyXOJgGg3ECfLa0pnQw6tYa5AgDbiP4dhXSn6vYZJACUGenWrlE6npTr/Oj6WQIc3WXigqT96z1RyVwSAM5WSgd5t2zKIvrs3iV9Ol++iASAI8nVkn1MSsf34AyE2naRoNj0u3iw+ZPHZOGtYrX07Uf/ysEpa1xzh5PSneu9xHqkXJI6ykgAOLb7smj7tHWOFbUTZlSLtr1wjASAxkwZAIazZAAYRMkf7fCUpvB30s3G6B0j1FNZitYRa1uo/8zn8x7u3kvM+7P6Za/Pk7KQrGKbOs87MQ75P5AAcLLF/SxgAAAtrziO1/zqEAAA1ScCoCNd9bW/bLNIACjT0Z2GAwA0ppFBp64AgCmYBID2PLrAWns4CQClerq1q1WOvvI6PztVPxIAyqCvr4+qr6sqnkMCwJly6SrJzRtIAGjbIR2gW7YwhejTZZeOwzAqXQOhth1kfYLGdeJ/k48fkQBQlOAEAPpVDk5e5T0AuH3tAbEeKZekPaWnXQKA1LWOABAfLv53fP7oDWLshgwZAIazZAAYRMkf7fBUQsEa8pTd6PtAWxpZCtcSa1ug+9Tn8+4/sZuY90dfAMB8soptSvSXXhm7YNrLxNgnmuj92oXU2g8AWl4ZAgCg/JjcZyud/zwrWyQJAKUaC3X/hmTS59wa6gIABJEA0JZD565lDyMBoERL58uvVjmCi86Pzu3J3A8AYoPLoe/pU6q+rqooigSA06XSWZ6a1pMA0LpdGgBKF5AA0JnoDAAcMwfFBUmnGm3ZTtYnaFgjnm1KqPJuYby0+1P/ysFJKz2r/cHX7asCAKCVAIASEgCOtl0Sbd8fAOLCxAHg3BESAOrTj3m0v4GSbEu5JxkABlHyRzs8FZ+3kjxlH4BAWxqZClYRa5uv+8Tn8+492kzM+4P6Ja/PkxJDFrFKmesdF6f8qS8RYx+rpz/VFlLby47jtb48BADA7yNin8ebXfNJt80kAaAkgS4jDgBAfSJpcFpCNjnviCQEAK1ZdNV8hQCgWO187X19faAOcHRd0vrTxQ6YAsiUmX2PH1P1dVVFs63EXKdKpFNbNv2eSfRp2SYNVCXzBADAIg2SBmW/6sHB0u1btpKuYvWrJQBAoPJuQZw0APSvHGxf4T0AuNVzn/zWNOI3Eu3Fp4j2R1rEASBlTatj+1BxADvbdZ18l6kyAAxnyQAwiJI/2uGp2Nzl5Cm7wTun0J7KkL+CWNs87Uc+n7e9q4GYd5ovACD6GxIA5nzulbHzvycB4EgNvVErpN0vOY7X9tIQAIDpHxL7PNroWlpKawQJAEVxdFVxAQBqrRlEf5cAIHA7abBSViJODCUBoCje5LRf39OnkBDgeCKt9adLfWoKIPf79OFDqr6uqlAAALoLpQNbG9eR62veIl1xt1gAAA6ZpE/09f0BIET6xqB5C+kqVrdKPGXrw/tk4a382H2Sc/SvHGxf3izZ3hXdvEwCQJFETMLuIgEAaL4o2j55VSvRXsy17OxhEgDqUo56vMeBkGxLuScZAAZR8kc7PLUzZyl5ym7wfaAtjXS55NqitR/6fN7WQ7XEvFM1L3p9npQ5ZBGrlNnecXEq+O5FYuyuKr1HY7a/6Dje7heHAAD8+gEJOvWuZTuyziABoHCXgbp/jZnMIW8JpgcAY+AOon9TKl0lYlsIWUSsMNb52vseP4aEQMegVK0/Xf0AowAAPLl3n6qvqyqcRQLAyQJpv/aGNeQNRdMm6RuVohgSAA4apH369UrypuHZs2ei7Zs2k/UJaleIv/PeeyQA5O2UBoD+lYMTl3kPAG5cukd+axIuSbsLu4n2XU3iAJC0soUEgGfCAHDm0DXyXSbLADCcJQPAIEr+aIendmQvJozdGL13TqE9lTaHXFu09gOfz9t0sJKY93sfAEBy1BQSAGZ5x8Wp4FsSADrL1R6NuWes43jtY4cAAPzyHgk6tXTuM6ys4SQAFOykh6VqE5lBxhK0mbq/EAA0JtNVIhYCAJq1P3v0COIDHdNSapR0cxoDSMP38e07VH1dVUEkCQAncqWN2vrVAgCwUToDVmG0AADopV3JhADg6RPxWIjGjQIAsFz81uXBXbLwVt4O8QxIQpWDbUtcq4khpesXSQCQcklqKyABoLPxgmh7+woSAJ6JAMDpgyQA1CQd8XiPAyHZlnJPMgAMouSPdnhqW9YCwtidq/d9oC2N1DkLibXN0b7v83kb9pcS836nGev1eZJnk0Wskmd6x8Wp4JuxxNiHSuM9GrND4TjenqEAAD//nQSdavHc6kKyhJEAkL9dR92/Up9M9DcHugAAATuJ/vV2OnccWzAJAPk7nK/9WW8vxAc5FqbSKOmyRBkEAODRzdtUfV1V/kwSAI5nN0r2qVtF3sg0bJB2qSqYS/4O92ulXcl0KjL248nDR6LtGzeQweLVy8QD84Uq7+ZuF8+AJFQ52LpY+l25omsX7pIAIOGS1Jp3kmh/uEECAJY3k0D1VPhG5dSBq+S7tMsAMJwlA8AgSv5oh6e2ZM4jjWy97wNtaRSfPZ9YW5Tm7z6ft3ZvITHvNz4AgKRIMod9coR3XJwKviYB4GDxLo/G3DfGcby9iiEAAD+9S4JOJd1JNishAMjbqqXuX6FN8joA1NncB4C8bc7X/uzBA4gLKu0HAHRuR4YA0vB9eO0mVV9XlRdBAsCxTGmjtnaFAAD8Lg0A+XMEAEAtDQBaFVlw7Mm9XtH29esFAGCpOAAIVd7N2SYOAEKVgy2LvAgA50kAyN8lDgAtuSQAHKo7L9o+cZkAADwWBoDu/QIAkNjl8R4HQrIt5Z5kABhEyR/t8NTmjGjSyNZ9PNjLAgCAuExybbM17/p83uo9ecS8X/sCAGaSOeyTZ3jHxangKwUx9v6C7R6NuX+043j7xgw+ABT98A4JOuV0xjMrSygJALlb6N2lyjV2EgACtlD3N6p2Ef1rzHQpOa1BJADkbtE47ffs3j2ICy5z6KdW0t2c6AUAoPfKNaq+ripXAACOpktXeq5dTrpk1a+TBoC8KBIA9iVI12LQqkiD/tHdB6Lt638ngaFqsXjmpXs3SQDI3rpHtL1Q5WDzwgbJPbiiq+fukLApEZPQnHOCaH+wVhwAbEuaSKB6JOxSdXJvD/kubTIADGfJADCIkj/a4amN6XNII1vn+0w7NIrNmEusbZbmHZ/PW9GWTcz7lUbh9XmSIsgc9knh73ll7MIvSQDYl0dvlArpwAv9xhs9BABg2tvEPg+U0hnPrMwhG0kjeiM9AJQlkLnqPQWAahNdUS5r4FbylHiT87U/vXsXYoPLHQFARVcpWh9AGrL3L12l6uuqcmeQAHAktU6yT/Uy0p+/bq003OTNJgGgI046mFyjIn36H966K9q+bi0JTpUSAHD3Bll5N2uzOAAIVQ42L/AeAPScEQAAiZiEpmwBAKg5J9reKgAAjx+KAEAHCQCV1k6P9zgQkm0p9yQDwCBK/miHpzakzSaM3Uid7wNtabQzI4pcm/ptn89b2ppBzDtF6wMACCdTWCaHecfFqfALEgD25mzwaMyDo/oZ2i8MPgAUf/8WCTpFrtU7EAKAnA0J1P1L4kgj1aTaSt1fCACqDHR7EAKA7I3O1/709m2iHy0A6ALIk+97569Q9XVVOeHku+1KqZXsU72UBIDa1dLuTbmzBAAg1hkAkGk9H14Xj4WoW0PGTlQsEofVO9dJAMjcJF4ETahysGme9G2JK7pymvxmpGISmrJIADhQLQEAixuJ9o96nwi2PbHnCvkuLTIADGfJADCIkj/a4an1qTNJI3sAAm1ptCM9kljbTPVbPp+3uDmNm2+saQwozAr4whcAEEamsEwK9Y6LU+HnJADsyVzn/oB9fXCov6vNqCEAAN+9SQJAIX0VXwAAczAJANnr6QOmS3ZZPAMAZSx5mklZzdcaQBYRy6JY+5MbZCXVBJV0rnxW2gDy5PveGfECT54oO5x8t51JNZJ9qhaTxnzNKmkAyGEBgHcrsmen9PvoX0gtNqQSHly9Jdq+ZjUGANb9qmKBOAAIVd7N3CgBAA9JADDGeA8ALp8iAUAqJqEx8zjRfn/VWdH2loUkADx8IAwAx9sFAMB02OM9DoRkW8o9yQAwiJI/2uGpdSkRpJGt9Y4biqfalkquLUL9ps/nLWhK5uZ7GQHA59oxXp8nKZRMYZkU7J0bjqLPxhBjt6evdnu8vqdPyGDb50eJFuoZKBV/+waxro58k0tjmIM2kQCwjh4AineaSABQbqPub1DGkcaMhg5iLAIAkPl7nNN+j66RhZQSAujqJwgBwJ1u8ewunig7jLwBOJxYLdmncjFpzFevlM5wlBPJ9InjZUbas0M6nawQANy/ckO0fc1KXD+BnadcAgBu9ZAAkLFBvAryo16ycrAhWtpdyhVd6r5F/p1IxCQ0ZJAAsK9CHADMCxqI9r33hCtMH9t9mWhbbpQBYDhLBoBBlPzRDk+tTQ4jjWyt7zPt0GhLajixthnqN3w+b16DjZvvNeNoUJgV8KkvACCYTGGZFOSdG46iT0kA2J26wu3x+h4/dDD82eenz8Tzng+Eir+eTN505LhW8MwcSAJA1ppY6v6F24weAkA80b8swUTV16IiqwhnrHW+9oc9ZB71hIACqjk1AaTry50T4q4dnihLAAAOWaUr7lYsSsKn7AgCqlZIZ4bKRgAQzyuOtnubtEsUV0mZBxr3LooHQ1evwADA1mAomyce63HzCll5N329OAA8fEACgH6uFwHgJAkAUjEJ9enHiPZ7y8+ItjfNFwCAu8IAcLTtEvk3Y/hj2CayLeWeZAAYRMkf7fDU6qQQwt0lfAAy7dBocwoJJ+HqyT6fN7vOzM03wZcAEESmsEwO9BIAfDKaGLsteanb4/X13nPw/WefHz8Rz3s+ECr5ahIDJbz4hPYs+hSeAMIAkLmaPmVq4VaDAADQZ1wy+JMAUBpnourLAQAvo0/GagoAuES6UMQHSme9YaVhT755hu/tY+KGnSfKCiUB4KDFCQAsRAAQVMq52lQtkwaArJnJCIIKMQBsdQIAgYXcPBwInesRbV+1PJ17b+w8pTESAHCZBIC0dW2i7YUqB+vmSMdLuKKLx2+SfycSMQn1qQgAeNWJO8rEvxPjvHpi/Ad3hf/9cqSFBIBS/R/DNpFtKfckA8AgSv5oh6dWJQUR7i7hmncGe1kAALAxOZiAkzD1JJ/Pm1Vr4OadZGAA4GOdDwAgkMxgk6zyzg1H8cckALTYF7s9Xt/92w7pP9nnRw/F0x4OhEq+nEhAye5M+gBeAABz4GbyFH0VPQAUbNbjvsgoNvnvoO5v8E8gDOqSXQa6tat2ICMUu66kr3S+9gfnSQMqPlA67z0r1vWFb/je7DpN1ddVZYYIAICpXLJP+QIGAOKDSrg1Vi5Nk+yTFcEAgJoX2Nu2RTp1KHtbwK+ofOfMZdH2VcvSuZsJFgBKosUB4MYlsvJu6loJALjLAwBkdOuivAcAF44JAIBETEJdylHm/YRVce33lIp/J4YYEgDu3xYBgOaLXJs4NH6p7qDHexwIybaUe5IBYBAlf7TDUyvtAZyx+zo67Q7T+D7TDo02JpNwEqqe6PN5M6q13LxvIQD4SDfa6/MkqQQAQOmdG47ijwQAwLrA7fGe3bmOXWzG4jF7H9zxynrdVckUBgD28qCkLd25DzxfpgASANJX0ANA/iYdNkaQIe4aAKgJg7p4J50bk1m5gzPeuVPiFc7nvn8WG1AseMQHFlPNqQ4sIAzfG4e7qfq6qgwEAHFB+IZjv6FMsk/ZfDu3PrbaccUSaQDInMFAAz+1Z+sm6dSh7P7VgfjW4Hb3RdH2lUvTuN+zGrkPFc9NFG1//QIJAClrWkXbP7iDKwezRrd2lnTAtCs6fxQHjrNGd8YGcQCoRQCQEFGNAaBEAgCi64gbg3u3Hgq27WrC32/CDGb8Eq0MAMNZMgAMouSPdnhqeaKKcHcJ1fg+0w6NNvDg5DUjAwAh6gk+nzetSs3N+46eeScf+gAAkpU4hSXrV5/s750bDiEAaDLHuD3es1tX8Qn7i3jMe3eue2W97qr08wmM2w8PSlpTXat4bFJtIYzM9OX0BnzeBq3DKXpsSCUY/XdS9zf4awiDumi7jqqvWclUEY5n/dFDKiGNYu33Tp/nQUspBy80Yl1fEniG7/UDJ6j6uqqMYCvxbvbppQGgNMaO1lfE9StfLA0AGQgAtEpc46Blg3TmIBb2NLxg4JvHxQtdVSxJ5d4ze4siBQBClXeTV4sDwP3bGABYo1sT6T0AOHcEAwBrdEvFJNQmHeHWwPZrLz4l2l4/hwGA+HB8Y3DvpjAAdDZe4Nqo0fjFmgOebnFAJNtS7kkGgEGU/NEOTy2z+XPG7mTDC6AwKyBY4/tMOzT63a7k1jYeAUCwerzP502tiOPm/TsCgA98AQD+b3D+62yOfW8BQMkHAgBgnOv2eM9uXMY3CS/jMe/e8E3+d1qVfjaeOfV/iXfTkUxvvAMAmFRbkWGGjcy0pfRj5P6uwQCADHGjPz2EGPy1yMjFBnUhRTVfAACzkqkhkMALzE1d6jz+4O6JMxgAkJEcFyRtWLNKQJDDz4Jzbd8xqr6uKh0BAB829mlLJfuURtu5PuxayxZKV4dOD2dcgHRKnKqzeb145qC+vj4OGPlB0TeOigdDly9O5WCG7VMUJQ4AV88JAMCqFtH2927hysGs0a32IgCc7cKZo1ijO+13cQCosTMAoIuq5frtLjwl2l43p5a4Mbh7o1ew7eEGDADa2Uy/IrUMAMNZMgAMouSPdnhqqW06z90FAcAAZNqh0bpEDCeTDAwABCWM8/m8SeW7uHk/0DEA8L4vAMBvMue/zvqwJ/t554aj9P0XiODYRv1st8d70nMOg8SreMzb13yT/YVWZZ+OY4z+V17g1tRsp8/AAwBgUm4lDPDUJfQAkLNOjU9GkWFn9KMHAD0CgASeQV24ma4SMQsAahU+uU5Z4hwAbh3t5t1a4Gw2NIpHoKThpQO92nGEqq+rSguyErCxVy3tqlQSnYj6FHCZekqdAUAYcwOgV+JMPU2/iwcO9z17xrlO8Quj3egSD3ItX8QCQBH37gqjxAu+9ZzFlXdZl5ukleIAcPcGBgDW6FZHVEvu2xWdPYwBgDW6pYKSqxO7mHc6t47r11Yg7irGrpl/Y3DnujAAHKrDN1jszUFh/H6P9zgQkm0p9yQDwCBK/miHp5ZYf+W5uzAAEKjxfaYdGq2x/cat7Q0EAIFq3wNAYtkObt6PEAC8p/cBAExnMtjsHz0K9o1GAPCbdwFg/2hsrNdrI90e79Glbm6chtfxmDcvn/LKet1V2SevM3DzGgaAJttml8ZgAYBvgKcups/ik702AZ+MqnIQANCnEdX76dD82KAu2EQXyGzyj0Xz4pPrlMXOAeh6J87Rzr89ePbsmdO+rF+9ToUN357dXVTrdVWpQTbilL0jQRoAiueyAJDPgUPpghTJPmkIAIz+adw8jWslAODJEw4A9Kosrs/1Q6dE+5QtTEHvuxC06N0VzpYAgDMYAFiXG/vyZtH2/MrBrNGdMKNact+u6MwhnDqWNbqlgpKrbAwAGHnBva354gCgnVVD3BjcviqcZOBgLQYANni4IE4GgOEsGQAGUfJHOzy1yPozz90FAcAAZNqh0WobhpO39QwABCS87vN5bSVbuXk/1THzvusDAEj5bSKXVYcNYk351TsuTmXvMQbxXgU21usSZrg9Xu/54xgkxuExb1w87pX1uqvyj15Da8IuT42WjS6NYfLfhoxobICnLHIBAFbzAECZhQCAPhCZBQD+KX7+BrpCZCZ/poiYRpmO177QOQBcO3iEBwDYkH/82HlaVzZmQMdb75UW3xRhYgFAy4ONPXHS2YqKohI5aGCz+pTMcwIAoYwLkMk/FQPAGvG4gWcP8Wm7gQdfVw+IG7ilC1gAKODgqWCWOABcOY0r77IuN4nLxAHg9jVcOIw1iuPDqyT37YpOH7xGjC8VlFxp7WTeKS+/f0veSdH27Mk//8bgVo8IANSc49qYUPrQgth9Hu9xICTbUu5JBoBBlPzRDk8tsvzEc3dhACBgADLt0GiVA5wwhrhK/ZrP57UUb+bm/Vw7hgsG9rZSfmUCWDsUzE/n86Mg5Rfv3HCU/f0FImNPbVyo2+M9OHMYjzMBj3ntvG9OfmlV/iEDAHUTeABgWu/SGCb/7cgAxye5yQvo3YiyVuFKvqwhbvSjrySs99MjeMCGZN56OoDAAJDKW/tWp/2u7D/Mu7XA++7tve+0L+v7rucZvpebffPfhZTARAI29sRKFywrjEK3BqpcLqtPsRMASEUAYPZP4eZpWC0OAE8f4NN2owq7DfXsEw+GLpmfgm4mCrj95EeKA8DlbgwArMuNbWmTaPvbVzEAsEZ3XJj3AODUgauE0Z28ShwAKiwMAJgXNEAcyuzTkisOAOqZ1cSNwc0rwt/jgWoMAKHmHuoAACAASURBVOaFzF7zZQAY1pIBYBAlf7TDUwstP3DG7sfI3UU1RABghfVHbm3vIQBQJvgeAMxFG7h5p2jZGwgfAMDP4zkjnTXUU372zg1H2bsMAOzmBcfW7Ap2e7x73fu5caon4TF7zgxu4F3FB68ye5uEKx/XG9e6NIYRAYCG5/+dPJ8eADJX8AEgFQEAfS0CvZ8B9cXuJ7nrKAHAjykipvFP5q19i9N+F/cc4AEAvj14cNd5WlfW9YVv+F5q9M13kIwAgA8bu3c6AYDZ7K1BLmjQSXtRTLJknxQEABb/JG6e+lXiAPDkLi7SZVLh39uVPeLB0CXzUK2BgHzObShPAgD4lXfZAFnrEnEAuNWDAcCysJF5DpUumuaKuvdjAGCNbqmg5ArzYa4tm5a0OVsckNjgX/MCfGNw87IwAOyvOsu1sS5m9pq3UwaA4SwZAAZR8kc7PLXAPI3n7sIAgHIAUm3SaAUPTj7UMf/rr37V5/MaC3/n5v1KOxYUZgW8afA+AKQiAGgfOwraUWrN1J+8Azjl7zAA0PoKNtardwS6Pd6dE3u4cSrfwGNeOdnhlfW6q4r3X4HO50dB1ZsK7OqkW+3SGEb/HYQBnjTP+Sk6q4zlGAC0yBA3uAQARmTE49PnnLV0MQRGvwQ0r523ducAcKF9HwYA3u3BnVs3nPbFhi8Gh4t1vjG+kgMYADDw4Gz39nzJPgWzsNuQVokAINoJAIQwvzerEr/HuhXigcOPb2H/fEsAfn+Xd4sHQxfHJKObiTwOaPJmigPAxRMYANgc+dbFjaLtb17BUGJd0sQ99/X1Se6dVif39hBGt1RQcrmJAQDLokaIn8EAQFOWOACwbSyLGrl5bly6J9h2XwUGgMRlzcy73LHX4z0OhGRbyj3JADCIkj/a4al5pu957i6jkZHt+1SbNFpmnsq7nWD+1y/hFZ/PayhYy837jWYsCkL2AQD8NI7Lq8/m1k/90TsAUPE2AwDNr2FjvWqbyu3xbh9p5capeAuPeem4uAvAQKjyPQYAKt4eiwFAs9KlMYx+TC59rRIb4Ekx9ACQvjSWBwCMAWmYTpfFBwBA52dCffHpc/ZquixCGABsvLU7B4CzLe28Wwt8e3DzWo9kv76+PnwKrMKG74Vq34BgEgIAIw/O2rbnSfZhAUCnyuby+hfOlQaAZAQANh4A1C4Xdxt6eAO751gD8HdzqVXcJa4omgWAXDCg25PcCHEAuHAcV95lXW4sCyUA4DIGANYojg2phL5nXgKAjh5ifKmg5DLjIQ4W2NP9xkzxmCH2loAPL9cvCgPA3nKcxta+ooV5l9sH9zCCVrIt5Z5kABhEyR/t8FSM6TtQmBUw1jQGvkD+7v4DkGmHRkvNGE4+RSfx09W+BwBd3ipu3u80L6I0pD4AgB9f53LYs3nsU3/wzg0Ha6Q38gJ2K7f6uT3ezc5Gbpyyd3DGnQtd4gbJQKjq7y9D5/OjoPzdF3GMQsJyl8Yw+u0iDHB7tAsAsIQPAOjEejpdHn8AAJ2fmTjFz1pFV0jM6MekINX5W3hrdw4ApxvbeACA573ec1my37NnGAAsKmz4nq8UrwjriVgAMPNuKVq35kr2yY9kASALdCgou2COEwAIZozzRGUiN0/NMvE+vVdxUSxbAAaoi03iwdBFc5O4mwkWAHKkAOAYnoN1uTEvaBBtf+MSrhyctLKFe3721HlmJxqd2HOFMLqlgpJL9QwA2JY0cf79DRniAMCmOuXDy7ULdwXbdpRhAEhe1cq8y20yAAxnyQAwiJI/2uGpaOM3oDAr4CXTGJiCAGC62veZdmi0xPwd73aCAYDf1C/7fF5N7gpu3mmal0BhVsBEXwDANCaAtfVl5qfz+VGQNs07AFD5JkrZOQEb65Wbf3N7vOsHarhxSt/FY54/XOeV9bqrqncYACh77yUc6xC/1KUxWADQ+WPjzz6XHgDSFu/i+un8rQgA6Cr5AgDo/CzEKX7WCro6BEY/DZrXxFu78zSo3fWtPADA+756Ubquw9Onz3gn39jwPVcung7SE9kD7ARstGyWBoC8mcx71KuyuMJe+VHSAJAUzIxvV+HfQc1SCQC4jDPiJAbi93Ch4aBon4I5LABkgxG5T+XMEAeA80cxALAuN6b54gBw/QIGgOTV+Pf79Il3AOB4OwYA1uiWCkou1R3kDHo2w099uniMRGyoI1zEhlTCtfPCALCn9DTXJnUtA7PZW/d4vMeBkGxLuScZAAZR8kc7PDXH+DUozAp42TQGvkQBr78NEQBYbPqGM8S/1DIn8b8OAACoc5Zy8/6oeRkUZgVMMHofANIQALS8wvx0Pj8KUqd554ajCvnp103Cxnr5xl/cHu/qvgpunOL38JhnD3gvy4g7qn6bMfxLPnwZA0DcYpfGMPrFOhjvsSGVkDjH+Sk6q9RFOzEAoNN81wDASpziZy6nBQAt6mvEa49yDgAnarCftUaJ933lnHghKwCAJ4+e4nl4AHC21DeuYIkIAKwqPFfzphzJPrkRjBFvUGVyhb3yZydJ9rEjAEhW4XdRvUS8z/1LOCDWHohvjs7XiQdDF0Qx7XTKLC5wODtcHADOHcEAwJ6KG+fVi7a/dh5XDmaN4tiQSnjy+Knk3ml1bPdlYnypoOQSLQMA9uXNXI7/+lRhAOC7lrFwERtSCVfPCQeltxef4tqk/b6bgebNMgAMZ8kAMIiSP9rhqSjjl6AwK+BV4xj4CgHArwOQapNGC41f8YJxmZP4X9Qv+Xze+OzF3Lw/a14BhVkB43wBAFOZDDbNrzI/nc+PgrSp3gGcagQAtZN5ALD+J7fH69lTwo1T9AFOuXl6b6lX1uuuat5iXH+KP34VBzvvWujSGMbpcYQBnjib/gYgdQEPAJAhrp+up+6v87MRp/gZS+kAwIBqCOj89by1b3La71gVzrWuUZq558unxfPYAwA87n0saPieKRYPBvVEiSpmDpsKz9W0MVuyT04EuoVRZYDBnzlpz3MGAEEMAKSo8DdQtUi8z70L2B8+KQi7UJ2rES9GVRBlRwCQyQFAlgQAnO3ClXfZU3FDjDgAXD2HASB9/W7u+fEj7wDA0bZL2Ohe18bdTIipWHOAAwC2uFddylHBtn081zI+vPScEQaA3UUYADI2MHvN3OQbNzRvS7al3JMMAIMo+aMdnppt+AIUZgW8bhwNXyM3m1+GCAAsQHDCBOMyJ/E/DwAAxGYt4Ob9RfMq9368rfTvmADWpteYn87nR0Ha914CgMnoNPxNbKyXrfvB7fEutxVy4xR+hMc81V7olfW6q9o3GQAo+vQ1HOy8Y75LYxinxyPDzMyluEycTX8DkLJgB2eMsEW99NMN1P1ZAND7G7ABt4SuEJkB1RDQ+2u5vjYKADhSXsO11yrx7cGFk9KF3R7dxwWwkoKwUX66QPwk2BOxhj/rChQbUgmN650AwAzmfRpV6WBAlX1zZ0kDQCICgNQAC/cNVC60i7a/dxYbwyl8AKgWz4aUN5tpp1dmcgHUmWESAHAYAwB7Km6IFne56zmLMxNlbsRB3o96n0junVZHWvCeWaNbKii5WM0AQNLKFi6NaW2yMAA847mWsSf6sSGVcOX0bcH2uwu78V43tcsA8A8gGQAGUfJHOzw1S/85d8L9Ncp48/MApNqk0XwjAycvmsbAtwgAflK/6PN5d2XO5wDgN83roDAr4DXjGK/Pk/4t47bS8PooaHydMV7Tv/MO4NSgXP1Vb2NjvXTtVLfHu9Scy41T8AnOuX+yTToji69V+waT/afwi3G8bEcxLo1hmJ6AAMAEscFMkSvbLBcAYB4PAJAhrvczUvfX+SHD0F+HAWAxXR0CDAAaDACRzgGgs6SSBwD49uDcMfE0lgAAj+7gXPPJPMP3VJ5vgsFZ1x82GDg2pBIa1mVJ9skOt3IAYEQAkBMpDQC2oFQOAOLQN1C5QBwA7py6gE+sg/HazlSIp6LMm5WEACCDi2nIDBUHgDOHcJwBeyqunyMBAGcwAGRt3oMB4IGXAKD5ImF0mxeKxyQUJRxA8NLCVfetSRL+vp4+wQCQsQHDy+VTwgDQVoABIHtrB9fvjyDZlnJPMgAMouSPdngqUv8pKMwKGG8cDd+gjDc/DUCmHRrNQ7cTL5vGwHfIFefHAQCAnZkxHAD4q8eBwqyAV0zeB4AMFgDGMT+dz4+C9G+9AwC1E1Hg77vYWC9d/b3b411ozMQA8Bke83iTtDHma9VNZgCg4MvxONh5y1yXxmABQK80QlxQKTKi6QEgOYYPAGp0A2Ci7s9mH+Kf4qcvogUAA1q7mju5pgGAQ0V8AMDznukSz2IDANB7C6eaTAnGANCdI+6a4olYAEgOwMG5DesyJftkIQAwqdLA6M8Y9tkznQBAINMuLcDMfQPl8xNF298+eR7/rkIwAJwuE/dDz41EKWJ5AJAhAQCnD2IAYE/FdVG1ou2vnMapSXO2dXDPD+8/ltw7rbqaMABkb2UAQyorUWH8fuZ3t7qVq2NQbRcGgCePcWwJH14udwsDQGveSa5N7nZmr+nrd3tln76WbEu5JxkABlHyRzs8NVP/CZPlxjgavkUA8OMQAYAYw2ec8f09AoAf1GN9Pu+OjLkcACg1EzgIAS8V1GGV8Q0TwFo3fhTUIwDI+MY7gFM3AeXsfw8b6yUrv3V7vPN1adw4+V/golvHG9K9sl53VT+JWUv+NxNxnYJNUS6NYZiOjHalAeKCSiA2pBKsM10AgGgMAAZ/BBN+Zur+bPEwvVKNDb6FdDEIBlRETO+fAHFBZWjtzoOADxSU8QAA3x6cOiRd0ffBdexnnsYzfE9m+SYbFGsopwZiAKhfkyHZJyuMaWtWpYIJFVfLiqAEgEAzxKNvoHye+A3ArWO4EFVGKA8ASsSNUAwA6RzYpIeIA8CpAzjQmD0V184WB4DL3RgAcnfs5Z5773kHADob8a0Ha3SbJIKSC+IYAEhZ0wrGGKaOQVWicJ2Ex7zgchYuYkMq4dLJW4LtW3IRAIRWQt7OvRwk/REk21LuSQaAQZT80Q5PReg/5vLcf4dSXv4wAJl2aBSNbideM46BqcgXf9oAAMC2tCgOAAI1Ezk3JHjmnXR6rDK/ZgCgdjwDAZ3Pj4KMr70DAPVovPIPsLFevOJrt8c7W5OEAWAKLrp1tE46vaKvVT+R2V/ed5MxAGyY5dIYhukaZIDrIT6wmDGiI+gBIGnudgwAyngEABbq/lpkpOqVCdjlYz4dAOhRETG9Mh7DS4TzG4D9eSXcXDoVBo8T+6Srqd7vwUYm3/A9kSFumHoiFgDSgnB2nrrV0gCQGcoHgGQqALAGMq5C6YFm7hsoixG/AbjVhdNQZobj99BdJJ4ONWcmAwBGZRoVAHTvxwDAnoprZtWItr/UjSsH5+/ClZ4f3H0kuXdaHW7AAJC3kxnfKBGUnB/LtEld28YVMquydgq2fdT7hICL2JBKuHhCGACac05AbEglxIVVcXtNW+ebVLTelmxLuScZAAZR8kc7PBWh+4irdDsVAcC0IQIAcxGcvG4cA9M0r4HCrICpaoXP592SNosDgGDNG9xz31PvnKSxyvwKAcAE5qfz+VGQ+ZV3AId1KSr7GBvrxcu+dHu805U2bpy8r3HRra4acSNpINQwgbnhyJv2Ji/b0UyXxjBM1/IAoIgxome4AABzeACgQhmF/KzU/bXITcWgiscAMI8WAMwEAFhmOL8B2JddiAEgAM97vEM6leLdy7g6bWYYNnyPp4sbpp6IDZZND8YAULtK+tYpAwGARZUKZuRelTlDGgAsCAAygkyQgL6BUgkAuNGJs9Bkz+DdhBSIp0PNjmAAwKRM5YKb04LFAeDkXpxpiPVzV0dKAMBJDADs6XtsSCXcv+0dADhUd54YXyoomYWEtHVtYF7AFDKrtDgHAPZEPzakEi4cvynYvimbAYD48Coo4IHGH0GyLeWeZAAYRMkf7fBUuO5DUJgV8KZhNExFgbZTNb7PtEOjKAQn442j4QcEAN9pfA8Am1NmckZ/qOZN7vnJo16vzpP1JWNI10xkfjqfHwWZX3oJAFBQcdmn2FgvWjLF7fFOlZu4cXK/xWN2VtK7uvhCjeMYAMj96W1etqMZLo1hmI4y9yh1kBBQwBiP4fQAYI9CABBcDgYVqingJ27Y9ZcWBaqy8BAbUgkpMbQAYEFrj8O3F+HOAWBPRj4PAPC8R3ZLG1F3L+LMNFm8k+9jKb6pB2FSIsM8BANAzQonABDCAkAKWBAAZDgFgHQEAGZICGTgqGSuOABcP4h90HMieACQJ14Zlw8AbHrT1GDxOU52YABgXXrUEdWi7S8ex3DGBuDGhlTCvVsPJfdOq4O154nx9XMlAGAHds1hKxlXmIVjTB4+wADAGvSxIZVw4dgNwfZNWcchNqQSEmZUO7ga/REk21LuSQaAQZT80Q5Phek+AIVZAW8ZRsM0FgAGINUmjaIQnEwwjoafUDaebwcAADYmz+CM/jDt29xz7wPhnNTuKmsKY0hXT2J+Op8fBVlTvAMAjSitaOnnuEJu4eLP3R6vu1SPAeB7PObhcvp0l75Q0+tMlqPcX9/FALAm3KUxDNOZLDgGpRYSAvIRANDXAbDPZgAgLrgMDAGoqrAf/c2IhgWAAFxRODmaFgDYnPex3O2FJcw5ALSn52IACIzlnjtbxA1YAIA757BbCt/wPZpUSbVeV8UCQFYozs9fvVwaANIRAFhVyWD1Z4zu9HBpVzVzAAMAmcFmUCMILJkjDnHX9x3Hxnkk7yYkRzwbUtYMHgAEMACQEiT+nZzYgyvvsm4uCTOqRdtfOIYBoFhz0PsAUHOONz4DALo54q5fLLSkr98NlkVM4blykzAA9N7D9SXY4OHYkEo4f0QYABozjnNAxAUbr5IBYDhLBoBBlPzRDk+Fat8DhVkB7+hfgB9QoO33Gt9n2qHRLAQnEw2j4WfNOFQPwPvZePprY3IYZ/RHaN/lnu/dE/6PkbvK/oJxz6maPAqqOADwDuA0ocJiJVNwhdzChZ+5Pd6JIg03Ts40POahEo1X1uuuml9jACDH732c7WhVqEtj6KcbkBGtgYSAPGREuwAAsxAABJWCkQMA8QDS/tIoGePTGIgLiiXPpbuB0PuxVW9jIZ69vaAAgN2pORgAgvC8hxul03neOo2N0tyZ2PA9Yq+gWq+rMiIAyA6zclmOqpalSfZJD+YDALPG9DBaADCBGkFgsQQAXO04io3zWbybkEzx95cZzgCAWZnC1TWQAoDj7fhds6fc8eHiNy3nj+LKwaX6Q9zz3RveAYAD1RgASnUMYEhlJWIzEWVsaAfrYgYAyozC9kPvXQwALFzEhlTCua7rgu0b0o8xABBZ45Bu9I8g2ZZyTzIADKLkj3Z4KkT7d1CYFfCu/gX4EQHAd0MGAN7nApR/0YwHhVkBXw8AAKxPCuGM/kgESAqzAm7fuuLVebI/ZwCg8g0GAjqfHwVZX3gHANjKwiVfvYLTdy74xO3xjhfE4RuAn/CYB4rivbJed9XyKgIA5YcYAFYGuzSGfrqRAwC1ijkZt4TSA0BiJAsAJWAMZAFA2uWEL40ygwGAIJxNKGkOHQDo/BLR2nfh24tQ5wDQmpTFzaXnzXuwTjqd561uXAwqj3fy3WUro1qvqzIiOMoJt+L8/EtTJfukIQCwBSSDDQFAmhMAMAUwv4OsEBNoEAQWRYnHcfS0d2HjPIoPAOJpMVkAsCiTOQBIlgCAY7svc+MWoaJacWHiAHDuCAaAcuNh7vnOde+4Lu6vwpmPyowMYEhlJWLjFjI3tYNtSRMHJkJ6cOcRARexIZVwtlMYAOrTGADQzKpxKDj2R5BsS7knGQAGUfJHOzwVjE6439O/AD+jTDvfaHyfaYdGkQhO3uABwFcDAAC/24M4o382ckNSmBVw/cZFr86T8xmTwabiTQYCOp8fBdmfe2d/La8gAPgWV8jNn/ex2+Mdy92FbwB+wWPuz9/llfW6q9ZXXmCgJPBjDADLA10aQz/dhIxoNahVzMm4OcQFAJi5jTmdDSzmTvG1/vTZkTRKxhg3BeNg4qQoWgBAqSVVO7nbC3OIcwBoTkzHABCC591fIx3Me/M4zgRTMBsbvp0W3wCAAcFRToSVy89fsUQaAFKDmHUlBiSBzZ+BgdRQ6d+HMSCTuWkIMYMmgIHAwtniAHClrRMb53NwPYSjaeI+8RlhGACSApk1JgeK3xQdbcOwVaJFRnGouKvV2S4cn1Fhweu7fe2B5N5pta8CA0CF+TBngIspewuTuShr8x5IXNbMGfdCun8bAwALF7EhlXDm8DXB9nWpRzkAYd2d7Mul3deGimRbyj3JADCIkj/a4akg7TugMCvgff1oDgC+HiIAMBMBwJuG0fArysf/5QAAwDp7IGf0z0F1EhRmBVy9es6r8+R+ygBA+ZsMBHQ+PwpyPvPO/tpeRpl/vn8dA0DMR26PdzR7GwaA3/CY+3K2e2W97qoNAUBO8Ke43sGyAJfG0E9nMukYAhJArcpGRjRdIS4AAFsECwBFYApiAUDaSOWLndPEM8STZtMCQBJaOx8AnPdtsqZhAAjdxj3vrZQO5r1+FLuBFPIM305TCdV6XZVexRjmuRE2Lj9/xWLpd5vCA4BEVwEg1ARaFgBmiQPA5RZspJZE4/fQlSJ+Ip4eyrSzKpMgGQFAkgQAHGnBAMB36ekTqUdy9jAGgCobvqG4fdU7ALC3/Awe38oAhlRWIjZ1afaWPWBf3syBjJDu3XpIwEVsSCWcOSQMALUpDADoomqhBN0YJC6TAWA4SwaAQZT80Q5PBaIg1w90o+EXlGnnqyECABEITt7Sj4bftEw+/ina0T6fd02iijP6o1ExMoVZAZd7Tnl1ntxPmAw2ZW+NgvK3kHH9qXcAYPdLCACmjcMAMPcDt8frytyCXYD8cdXdjiznp82+1O6X0A1A+BcYAJYqXRpDP50JMDUGJHCn8eZgdwCgkAcA0n7qfOFbB2yI22fRAQBbRMwQsAOPE+y8b6MphZvLEIbn7SiT9uW/1oVPgYujk7jnw4ZiqvW6KhYA8iJtXJaj8kUpkn1YALAH2MGuZIKkU5wAgAEBQE6oCbQBzHssiBQHgEtN2E2ldB5+D13J4gaxEADYpQCgGVfeLTdho7jvmTAAnDmEKwfX2I9wz7d67kvunVYdZRgAqtH4UlmJMjcxxcuyt+4B+4oW5pvRCBeau3sDA0ClFd9enD4oAgBJzPz6OXUcHNmWNnljmz6XbEu5JxkABlE0H21fXx/cvn0bzp07B93d3XDy5En5Z4j/2EriYEHhAvhc/zL8ygGA7zPt0Cgcwck7+tEwXTMJFGYFfDEAALDa5s8Z/fMMU7jnixePe3WePAQApW+PgrK3kSH7iXf21/4iAoCfJuD8/XPed3u8zrQNGABUuOpue/oGr6zXXbW/iN5bxFe43sFiP5fG0E+3IgCI5/zxzcH0Nxu2GczJfUJAAZiCdyAAoK+QzMYdmEO3YgCIpAMrtoiYMWA7vr0Icg4A9UYeAITjedtLSiX7XTuEC2CVxGDD96CuiGq9rkqnYoAsf5aNy89ftlAaAPin6ywAJIc4AwBmntwwE+gCmPeYP1MCABpwppryBcn4JsReLdonDQGATWnnQYp4rEhXEwaASp5Lz7OnwgUJTx/EAMCekMeGVMLNy94BgD2l+Hdfm8yML5WVKHMjAwA52zogaSUDAEVqMQDoxXCRiG8vTh24KtieBRxDdB2UGRgAsC6RAWA4SwaAQZSzj/bJkydw+vRp6OzshM7OTjh27BicOHFi0A1c+Uf858SJE9BxoB2q26tBXbIFlNpJyM1maABAmPYtFKA8GvzQ2j4fAABYaZvOGf0LjF9zz2fPC5exd1f5HyMAeMf7ALBnLDKGf5mEAWD2390e73DK7xgAgnDV3fbUdV5Zr7ti95kX+Q0cGoX2vHC6S2PopjNuIsbAeC4jjymIHgCs4SwA5IMphAEAjVK6Wi1f/MxDbKYb+0xaAEhFa98OamQs0wBAnR4b78YIDABthdIn+Vf3d3Nty+Zjw/egtpBqva5Kh6CmYJYNEgKY/Pyl86UBICnQzgFAktKCAEC6jx4Z/blhZtCjOfMjxKs5X6jFueorFmGYOmQT99FPDcEAkBrEfHOJEgDQ2YjjLap4RvHTJ8IAcOoATtFan3qMe75x6Z7k3mm1pwQDAOuDL5WVKGPDbuadbu+A5FWtEBvCpPgU0p3rGABqkvDtRfd+YQBgIcEQU8/FDFgXS2ewGiqSAcA9yQAwiHL20fb09EBnZydcuHABnjx5MsCrk+Wuuq90wr6T+6BudzXszF2CTtmHBgCwRbj+rh8N/trJoDAr4LOBAADrb5zRv9j0Hfd86ox3/4Wd/xEDACXvjoLSdxgAyPvYC/vr64MOBTKGp2NjPXfWu24PeShpDQaJkDe457bkNZ6v1wOx+8yb/R0ceAHtef6vLo3BZtIxBsZxOflNgS4AAHKhUatywYz8+DXKTOr+XPaesK0QF8RkukmMoHUBSuMAQKPMRGt3HsBco8UBvMbILdxza36BZL8r+zAAlPMM3wNq6X7uSovcmgpmJ3L5+UvnS5/mswCQHJgIyQgAkoLpACAv3AR6BFJ5EeI3AOercbXaqiU8ALA4B4BEVSIHADYJADjcgAGAbxQ/efxUsH33fgwADRm4TsH1i94BgPZiXP2YTcMplZUofT0DAHk79kLKGgYACuKEAeD21QcYLni3Fyf39gi2Z2McjPPqOfcoy0IZAIazZAAYRDn7aLu7u+Ho0aOiAUqyhqa6e7rgYM9B2HOgDawlO9Ep+9AAgBDNGyhD0WhQaZnnTwYAAFZYf+GM/qXmadzzydP7vDpPwYdMCsviv78AJe8yAJD/kRf29+wZ7B2Dqv/6Y2M9d+bbbg95MHEFjiUIf4t7brWv9Hy9HojdZ37UVNg/Gu153s8ux+h8HgAAIABJREFUjcFm0jEGxnEn6qbAHdT9rWHbEQDk8AAgi7o/W33YGr4V4lCga2IE3Q0AV0MgaBvnvmQKoAAAtY0zskyzMAA05+RJ9rvScQK7pSxJ5Z73x+dTrddVaZF7VGFUIpefv2SeNADYUZGt5MBESFYxAGB3AgA65PefP8MMBjbweIY4AJyr6sDG+XL8Hg6aykX7pAQz35ldleiQqlRMh+pw5V2+Ufz4kQgA7MOVg5uy8O/p2oW7knun1e7CU7zxGcCIk8hKlLaujQGAnfsgdS3zXBAr/O/QWz0YAOrT8e3FyQ5hAGDjBEzzG7igYfNC8RSsQ0kyALgnGQAGUc4+WtatRNYfS909nXDo6iHYd7gDkss06JTd95l2aMQCwPu6MRCA3IE+1r3g83mXWX7ijP4VVvx8rLvdq/MUfsAAQNF7L0DJ3xEAfOgFAHj6BPaxxnAANtZzIt5ye8j9lqUYAGbiqrsttmWer9cDsfvMnzsN9rHQE/2TS2OwmXRMQbFuAYAlFAOAJZS9Dcim7h8fyLi2WGdshTgU6GqbQXcDwJ76MwCQTg0AVfG4sq4pagvPsMuV7He5HRtn1ctwJqF9cdL93BXOyZ8IGhXzXBxNBwApQYmQomIyPNmDpDMHcQAQYQaDCqUeDZcAgPJ2bu+1K/B7OGAQT4eaHJzEAQC/WJmYDtZiAOAbxY96hW/YT+7FANCSexIDwHnvAEBbAb79ac7BgCEm1ujPj93HwUD+LmEAuHnlPjdeYya+vTixR7j2Cpvm1LyggYuPMC+QAWA4SwaAQZQMAMNTHAB0dkBKmXZIAUCQZjLKUDQGAhEAfDQAALDU8gNn9K/iuQMdOeHdUvOF72MAKH6PAYCCD72wvyePOHeYoqC3MQCEv+n2kPtMi3FBsVnvcc/N1iWer9cDsfvMj/6BcwcqmvODS2Po/JJ5AMAG1e6k7m9Bp/5qZTZYeO5AtIpHwa3WiK3csy2cFgDYGgJbMQConGcwqow1c0aWeS4GgIYMaXC52IpdUWpW4loCe3flUK3XVWnQqX/RHDto0G1AkRMASEQAkBqUCKkIABKdAACb+rNgphmMFABwprQNG+er8XvYr5cAgCBmXUkqG2SEMABgUYnfTByswSlX+UbxowfCAHCiA1cObs3HxvrVc3ck904r/piteRgwxG79+W4/ab8jd6CdewXb3ryMAaA5G8PF8XYRAOC5/bApSU3zpIvYDRXJAOCeZAAYRMkAMDwlBACfDBkAmISM/jEQxKUr9T0ALOG5/axNxBmBDh/zro9p0XsMABS+/wIUsQDwgRf297gXDqKA2MJQfFqfE/aG20PuNSzkximc8wH33GRe6Pl6PRAHAPN+4gKCi2ZPc2kMrV8KMqJ3cWk1TW4AgEaZ5SYAMKf+1plbuNsAWxgdAHA1BIK3gEaZSg0AFbtMnJFlicEAUJ8mHbtwoRkHo9atzuSeO3bQ33i4Itbtp3huIhcPUDRXusqyjQWAYBsHADanAMDcLhTONINRxRj02WHiAHC6uBVD0zr8HvbpxLMoJbEAEMAHAPF1HajGAMA3ih/efyzY/ng7BgC+u07PGe8AQAvP6OffBjwTSUuavBoDABsPkLu9Q7DtjUv38O0Fb55juy8LtmcrHVsXN3IB0sYYGQCGs2QAGETJADBwevLkCSxZsgSee+45+I//+A+IioryWWzFSQQA+3kA8PEQAYAAzUTk9jMGgnXvooJlvgeAxebvOaP/d3sA93zgiHf/A1PMM/rZ24DC972wv0f34RBrrIf/HQNA6GS3h+zQz+PGKYrBVXcbDfM8X68HYjP/FMz/hUt9Wjjre5fG4Nx+QnaBzp8x0owqegAwB7MAkAGWcAYAEgLofeJZv3/bzC04HiCUFgBy0Nq3gFaJQEbpPIC5bIcBA8B8nAWoLlk6femFRpyPvmFdFve8Zzt9zIMrYgN/S6LtoFWijEBznACAioG4tGAbpAWYEABI12VgXY0KIy1gUjEuPVlSAFDYjE/n1+P3sE8jnkWJBYDkABtkhjLpSc0SALC/Ctdc4BvFvXeFAeDY7sv498HL2HPl9G3JvdOKdSuKC3UEjKciaUn5mX8yNuCUoEK6fgEDAB8ujrUJAwA/9Wc1LyXoH0EyALgnGQAGUTIAMHr48CHMmzcPnnvuOfjzn/8M48ePh7Iy8Wtfd/pGRkbCN998Azdu3IAbN27A2LFjITWVvrKoK+IDQGqZDp24+z7QlkYqVP33E+0YCEFVgd8bAABYxMv8syE5hHved7jaq/Ngv/8XHOIBPNWz3jvYWI94j4OB7OBJbo+5RxuN8+wv+Ix7btDN9Xi9nohzS1r4K1f8rHDmdy6NofVnTnzNobtwQLBqF3V/czCb+jMdrDNYAKDPisNm/rFFbuEyAtEDAOO6Ygrdgm8vKACgdJueM7JsC3EhsFq79L9nztXhAliNG7K55/at9FmPXFECuhEpjbGDDrk7FURJA4AVAUB6iA3SEQBYA50BAHI1mmUGMwsAoeIA0J3fhE/nN+H30JEgDgD2QGZdKQFWyOIAQHxd+yowAPCN4gd3Hwm2P9aGAYBftOvyKe8AAHsLER9W5ZAR6OljYQDg5/7HRcGEAeDahbv49qIIj3209ZJge37xLzZDkn6uDADDWTIADKJkAGD0448/wsiRIyE6Oho0Gg1MmjQJRo4cCfX1zk+HafqeO3cO/vKXv8CtW7e4fzZv3jyYN883J60OAFDOAMCHQwQAlJrxoDAr4FOtAkJ176GaAL4HgIXGbzmjf3PqDO6546B0lVRXxc/8w2YEKvq75/t7ev8GBoCZH3DuQNlBE90es109B1faXTyFe67XzPF4ve6qr68PA8Di6dDGAkDENy6No/VHxb9Cd+KUoMpY6v7mIAQA/mlgjWABgD4vPpv7P3HWFq4mgDXEeSAvAK4hYA7dDFr29kLpPIC5dIuOM7ISl2AAqLZKZ8s5V3sAG76bc7HRttlXAMDERJTOs4MeBTznz5YGAIuKuQnJCLFBeiADAJZA6ZsNdSBz01A82wxmFXMjlBkiAQC5GABat+L30BEvXhAtkQWAQBtkhTEAYJIAgL3l2IjnG9z3bwsDwNHWS/gmggcPl7pvCbZ3VWxmofgZjgDwRCQrEb/6b9bmPQwAbNkj2PbaeQwA/NuLIy3CAFCiY0A0cVkzVxVYN6fWK/v0tWQAcE8yAAyiZAAAaG1thREjRsCmTZu4f9bb2wv/+7//C5MmSZ+u0va12+3w8ccfO/QNDAyELVvoTgRd1cmewwQAvD9EAMAfAcBnWgWE6t5HVYF9DwDzecW/tqZFcs/t+6WrpLoqfu5/LiXou57v7/HtyxgAZn3I+clnB05we8y2+FncmGXLvuae6xJmebxed/XsyRMcl7DEH1pfZt5n4YyvXRqHzaRjDtsJOj+bGwCwE2JDKkHrnwrWmYwxHR9IVxn32bNn2BCfvZVz6bFQA0A+Wvtm0Pqj2wt/5+5LxZu13Lz25du55yqLdIDt2SpcAKtlWz4GgI30hc9cERsfUT4/CfQozWneLLtkHw4AQm2QEWikBIBCBAAWsCAAyJAAgJM5DXjv2/F72BMrfvPDAkBqoBWyw1H1aZX4uvin+PwqvPduPRRsf6QFAwA/fuDSSe8AABuInBBR7WCki6UltS9n3KRKtAchewsDAFmbhQHg6rk7grcXXc0XBdsXaw6ib7eZq3qsi5IBYDhLBoBBlAwAADExMfDP//zPcPu245XqunXrYMSIEXD27FmP++7cuRN++AFnMXn8+DH893//NzQ2+qbICR8A0oYYAPhpxnF1CcJ1H4DCrIC3BgQAvgKFWQFjTWNge8YcDgBa99IZdbRiq//mfTIa8j9iAKDkHc/39+jGeeyuM/sjLj9+tmq822O2xUZwY5av+p57ro2b6fF63dWTh70YAJYpoeUVBABhX7k0DptJhwEAZJgp46j7mwOFAEC6oi63hyePMQBEbeWCei3BtADAnFybwzeDzj+RGgCKNmq4eZNW7uSeK0zSxvXpClwAq21HAX7eIG1gu6t4FB9RviAJDCjLkTMA4E7wQ22QGcQAgDlQGlBYV6OSKAtYWYAIFgeAE1n1DkY/d1K/UxwAbAEYAHI4ABBfF9/o598G3LspDABdzRe5NvwUoheP35TcO63Y4mLqmdXQUYrXI5aWNHEZAwCluoOQvZWpm5C5STiVcs8ZDAD824vORhEAUB9A324LV5VYO1sGgOEsGQAGUTIAAHzwwQfwwgukgVZRUQEjRoyAvDzxIjq0fRsbG+G5556D8+fPw82bN0GpVMKUKVO8t4l+OuEAAHqu8NZQkJ/6da4y8Qz9hwwAGHwPADGGKaAwK+Al0xjYkRnDAUBTh3eLHZW/xRisuZ+MhryPmarApe+M8njcB1dPYwCY8wmXH98TAGjdGc6NWbH2B+65Zle4x+t1V49672MAWBEAza+ioOoQ1/5eNCi41BK+E3R+TNYYgzKeur8pcBcCgGSwRTIAEBdUQrkHXADJPmcrqFEVWkuQ80w+ADiFqCMAOI9fKFyv5uZNXrOLey7X2yT7nS7DBbDaY4u459b10j727iouqJQBk4XJYECxGrmR0i5ALABkhdkgCwGAySkAIFejORawBjAAkC4BAMfT6/CJdUKxw22AmGxo3LQgK+TMYADAIAUAvFP2fZXYKL57o1ewfWcjBoDD9biK8IVj3gEAthaBJrLGAUjE0pLaljBuUqX6Q5CzjfluMjYIA8CV07cFby8ON1wQbF+UwABA8qoWqE9D65pV45V9+loyALgnGQAGUTIAAIwZMwbee+894p8fPnwYRowYAWq12it9V65cCf/5n/8J//7v/w4hISFw7553SrkLSQgA3h0iADBd8xoozAqYoh0LEfqPQGFWwBsDAADRhi9AYVbAy6YxsCtrPgcADe3ezXVe8SbKzvPpGMj7hAGAsrc9B4B7l49jf/25n8JelB8/y3+c22M2bwvlxqza8Av3XL0j1OP1uquH93jBzisDoek1lEkp+AuXxuHcbmbsBD0LAP4uAEAACwBJYJvNAkApVeau3rs4+4l97lZQI3ckegBgjE/zjE2g87dRA0DBugRu3pTfY7nnMq240QsAcKoEF8DiG74t63yTpCAumAmQrlyUDEZ/Jjg3J1L6BoCfxScrmAEAY6B0jEJ8ELOXsrlW7qQ+LUj8XRxLq8HGubYE34RsEz8E4sAiyAK5ESwAiK+L72fPN4rvXBcGgMMN2OjvbOQDwA3JvdOqPpUxtLWzahxO6cXSkloXNzLv1HAIcncwN0fp63cLtr18CgMA//bicL0wABTG72cAYHUrNCAwUUfKADCcJQPAIMoTAFiRdwimqZuGxM+KPPf/6P7nf/4HPv30U8G9jxgxArZtE/+Ptid9fSk+AKSXG5Cf/dAAgN/UDAB8qRkLM/Ufg8KsgMkG369trv5zUJgV8IppDMRmL+IAoK7Vu37OHAB8NgZyP2UAoPwtzwHg7oUuDAAxn0MHyo+f7fe622M2bwnCRv9mPwwD24I9Xq+7enDnJgaA1cHQOA4BQODnLo3DZtKxRuwAvZ8JAUACdX8WAHR+dgwAwWXw9JmwbzRfd2/fxAAQvRU0yM/dEkj37wM2haglYhPo/JFbiZ/z+IX8tfHcvGkb4zAAaMyS/bqLdmO3FF0ZBoC10sHD7ooNkK5anAxGlK41e6b0DQCXxz/cCtkcAEinKWVdjcqibZDIuuoEid+GHE2pxsa5Ab+H1q3i9R8sAanoZsECeQgA9CrxdfFTbR6qw0bx7WsPBNvzT/2P8NyBzh/xDgDwfe35NxK996QBoNx4GPJ2MgCQ9rswAFzqvuVw6s/ft5AK4hgASFnTCo2sa1JEtVf26WvJAOCeZAAYRHkCANPUTfD/zS8YEj/T1E1uv4OBugEYSAkBwNtDBAB+1bwKCrMCvtaMhUjDp6AwK2DiAADAHP1noDAr4DXjGIjPWcIBQE2Ld42cyjeQYf75GMj5TMEAwJueA8DtswcwAMz7giuQlTX9NbfHbNoUgP3+t+Pnqi0BHq/XXd27fQ27Oq0JhYbxCAACSNCWklqFUm/O3AF6PyMCAPq/R5MqFgFAIiRGoYw6weXw+LGwrzZft65f5YydpBhczdcc6DyVJwB2kbHM3AQ6fwsCAOfxC3lrsNGfvgXfBpQkmCT7nSzABbD2Gyu456Y13gcAfoB01ZIUMKEqzdkR0jcALADkhNsgJwT9Pp0AAPsey2NsvErC4gBwJKkKG6kW/B5atjgHgIxgC+TPZABApxIvoMZP/ck3im9fFQYAPiQcbcMBwee6rkvunVb8bDv7q/CNhFhaUstCBgAqTIchfxcTPJ62rk2w7aWTGAD4rkwHa4UBgB0vdW0bNGWh4OQZ1V7Zp68lA4B7kgFgECXfAAxMDMBASwgA3hoiAPCz+hVQmBXwjeZFmGVgjPIJRt+vLUr3CSjMCnjdOBoS8pZzAFDZJG14uKqqycgw/2IM5HzOAECFFwDg5qkOzjAunT+FK5CV9Zv7ANC4UYlTf+4K4Z4rNyk9Xq+7unvjCgaddeFQP4G5RSlUfeLSOFzxrcgdoPczIADQUPc3cgBgg8Q5OKXmw17nrns3e3D11qR520CjTHMJAGKRi4x15ibQ+ZupASB3NQaAzO04ILgkzijZ70R+CzbOrNgIblolnT3IHT17/IQbv3pZCpgRAGTNkP47NKiYW5ScGTbIDWUBQLpSMVuLoWKeDRIDGQBICUwUbd9lr8TGeSJ+D82bxN0EzQHM7zYzxAL5kc4BoDUfAwA/wPdWz33B9nzXGX5V4LOd3gGAGjvOt893SRJLS2pewGRKqrB0QkEsNtiFdPE4vgnjZzM6WHNOsD13o7CuDZrY+gThVV7Zp68lA4B7kgFgECXHAABER0cLZvJZu3at0yxAnvT1pfgAkFFuBIVZAW8OwCk7jX7SMADwreZFiDIyfvnjjKMBfFQVmdVsHeNuNN44GjT5qzgAKG+QDpB0VdWTkGE+RQHZCAAq3/AcAG6c3I0BYOFXXIGsrF9fdXvMhvXY7acxAWcEqtjo5/F63dXtqxcxAKyfAXUTEQD4f+y8M08JAYU8ANAjANBS9zeq4hAAWMEejQGg994dp32vX8Inu8nzt4FGyZwSmwOc5/IHwC4y1shNoPNH7kt+zuMXcldiv/+sWFwToGinXrLf8VxcAfewvZZ7blwp7Zbjjp72PuLGr1meCmZU6CyTEgByI6yQhwBAHyAdv8O+x4r5iWDnAED8773Lhk/9u5Lxe2jaKG7QswXGMkMsUDCLidfQqsTXxa/+yzeKb14WAYAabJSf7Ojhns8cvia5d1pVJ3Yx31d0ncNcYmlJTfMZAKi0djq47AjpAg8A+AXNDlQLAwA/poAtUBYXJgPAcJYMAIMoGQAAWlpaiFz+Dx8+hL/97W8wYQLOsX7//n3o6uqCq1evutx3oHW85xABAAPhZ0+jHzUv8wBgCncqDxS+1Z5olu5D7rZBm7+aA4DSepNX56mZyBivmV8qIHvKWMalZrLnAHDtaBPO2b/4G2h7GQHAL6+4PWb9ut+4MZt1UTgl6PrfPF6vu7rZcxYDwMZIqJ2EAMDvI+ox+vr6uEw6tlk7wODHGMN6lwAgngOAJB4A3L3l3Pe65xz2pU5euA206JSbBgD6+vq4vtZZm0DPAsB05/ELOStw5p9ctZF7Ltyhk+x3LKsRG76pOBVmwwrv3o4BADx+0MuNX7s8FSyo0FlGuPRcehUTSJ0XYYO8UOZGRxfoBADQPFULEiEJAUBygPgNwGEL9vs/loHfQ+N6cVcjE3JNygq1QCENAOQyABAX6ujSc+OS8M0S/1S+ez92LTt9yDsAUGVjAMAYU+9w2yAGAMZ5zHupsnXhoN1VIgBw7Ibg7cX+KuGDMX5WIf57+iNIBgD3JAPAIEoGAEZTp06FkSNHQkxMDGg0Gpg8eTKMHDkSamtxDuLq6moYMWIELF++3OW+Ay0MAHshEwHApCEGAN9pXoK5JiY3/6vGMdD3RPjK2VuKRAAwyTAa9IVrOQAoqTV4dZ7aCQgAvlJA1pcMAFRP8hwAerrqsIG+5FtofQUBwE/uA0DdGpz5p9U0HwPG7794vF53df0STndaunkW1ExmblEKf/uAeoynz55ymXRss3eAwY8pkKX3kzaE+TIqWQCwQFIMLqp161qP076XT2M3j5RF20GLTrlNKucA8Owp9pG3zd4Een/k7jLdefxC9jKc+z9fZ+aeC7ZJg8/RDFwA60gGhoH6ZT4AgHs4RWrtyjSwUgMAk0o1b6YN8sNYABD3zeeDVNXCREgKYgqqJUkAwCETBoDjOfg9NP7uHACywyxQOJsBAE2A+LrYk+34sCo4thufil+/KAwA+6swTJ4+eI17PnXgqmB7V1Vp7WS+zXn1DvEGd28IA4AhBgFAYhcU8fL2C+n8EQwA/NuLfRXCAMCvK8C/KfkjSAYA9yQDwCBKBgBGvb29EB0dDX/961/hT3/6E4wbNw5KShxzfosBAE3fgZYjAJgGzM+eRj9oXgKFWQHfa16CaNPXXGrOp4+E0+B5SzO173M3IYai9RwAFNbQnwrTqG48Y7xmfDUWA8BEzwHgysEqDADLvoeWV1Gw8Y8vu7/WVT9xY7bbFmPDe+1PHq/XXV29cAKvY0sUVL/BAEDRr+9Tj/H48UMuk05i1A4w+GkQAEi7wvBlVCYgADBD0jwMADevXnba99LJExgAFm8HLTJyTSrnxbyePsI+8raoTaD3N1ADQNZSDACFZiuGgS3SsQ9H0vFp9/Ec7A5Ut1TcWHZXj27dxYCxKg2sqNJxepi0u5EOFVPLj7RBQTjzTrSB4jFWfc8wAFQvskMyDQAYcerPk7y4iIZ14mk9jcg1KTvMAkVRLACIr6spCwHAjCqHU/FrF+4Ktuen5jx7+DoGgP3eAYAKCwMA5gUNDkHJYmlJDdFMrYRq+xEo1jAAYF8hDADnuvB6+bcXe8vPCLbnVxbmx0rQpN4dbMkA4J7+4QDg4cOHMG/ePHjuuefgz3/+M4wfPx7Kysqo+6ekpMDEiRPhX//1X+Hf/u3fYNKkSVBZ6R4lywAwPMUCwIEhCABTEQBM07wMMaZvuOJcjymCKz1RhPY9VHNgNJhKNnEAkF/l3UxN9eMQAHwzFjK/epEprDXBcwC4tL8M++ivmAbNryEA+OElt8esXYmLf3Ukr8CG9+ofPV6vu7py9ii+idg2F6rfZCCq6Gcy25aYHvXe5wJAE+fsAIO/GgEA/W2P0Z8FABMkz9+BDbXLwhlM+Dp//CjXPnXJDtAiI9ekdJ7L/8mDh1zfxKhNoFeyAOA8gDlzCV5nsS2Je87bJO0+1JWK/d35AcG1S7wPAA+v49zw9avTwaZk3k2aUwBg6joUzLJB4QyjUwDg36RUL7ZDCgIAe4D4TcNBPQaA08VteJ1rxFMFswCQE26B4jlM0TZ1gHjhsMZMlN0mohpO7OEBwHlhAOAX5zrHO1Hv3uf8JopGFabDDAAsbHCoMyCWllQ/lwGAmqQjUKI9yLzT5c2Cbc92YgDg3150lAkDQNZmBgCyt+xxyJb07JkMAMNV/3AA8OOPP8LIkSMhOjoaNBoNTJo0CUaOHAn19fVO+y5fvhz+6Z/+CaZOnQpqtRp27doFISEhYLVKF3oRkwwAw1PHeACQVWHiAm2HwknK95oXQWFWwA/ql2G++TtQ/P/svWd0VFeW/i0w/W97pvvtHrt7jZk1PTPt7tXQRhgnjHHEEWcbRxyRhEDkKImcEcEgAUKplHPOuZRzzhllCYQQAgmUEzzvh3PrnFuqW3VLqpKlxnrW0lpccU+oUtq/e/Z+tqsuFrsswnC/eHGlJtps/wYthnaTmlMACE8Ud1eZiDKeJ8FrwOdPIegzAgCpL2gOAG1F0cyl5/hqZHHrhHw9eQBIOfIVnbMk0Izl3h/7WuP9TlY3mlm/g/iLxkh6lQOAb99Qe47BgR5aAOq5mw8Aqt1w+OKP8d3LAuub14SDF75aqyvp/f6HLsGe6+arDgCM9LEcec/d5+CozxUw/yR+UhW0n51USH39GQCcVQ0AVd4MABqimCVo6gHtA8BAJ7OGzDALhIc+eW/8N6gGAHsOAKJ2eCBqCwEAiaHyQHtslAFAykFv+K4nAOBpoBwAyuxZF+SW+EJ2EnJCOQA4cbUJYZvdELtbBgCRSu/PkPnbb02WS4vpvCr8+68ojgFAWy0rqm0o1g4AxDuT71W3/ZmozmKuRMpsSR12ke+VVJ8riHUgAOB5WBgAWipZ0M8/vSiUNgveH3SONKQLsSiS65cwNnZPK691KjULAJPTrwoAcnNzFYpGBwcH8be//Q3Lly9XOTY7Oxtz5syBhYWF1vYzCwAPpuQBwJXzv38SYzPgScoXHACsljyDPa5f0kB8oEc7jW2UaZP9CtoPwSPuIl03NF48LWMiyuQDwKolqFqwEGlaAIBr+eEMAE5+h0zupCHkq6cmPWfK4S/pnOWh55n//pGvNN7vZHW9qYIBgKUpEl8jEBW9eoXac/T1sielXsaX4MQ9zXdc46L2HE56srQhJ/juZwBwo6VRdGxzZTkDgCOWcOAAwFlfvJnX4F1eF2Hj83DUd+AAQLx+IXAfA4CEoED677AzqiG30os1wGqKZU3BUvZr1yELAPpvsEAw81QgPDkA8BMBAMla0tgtaqcHorcSALAzVB5oj/BSqVIPecNvvScHAMrXKZUwALiaXMLGHw9QOkZWmxC22Q2xxmQNW8Mopfencx1uJdtS0FDMAOBmizAAFEqb6T18X/36wg6la0xEcU4VsDJKhPuBTLlGY8psSR12EgBI870CqSMZ63FQuA9PcwUDAP7pRWGsMAAEniUAEHqhSK5j8tjILAA8qPpVAYCJiYmgbeSpU6dEbSO/+eYbzJ8/H/fu3cP9+/d3P31LAAAgAElEQVTR2yt8ZDgRzQLAgykhAHjWeRFGZsCTlM8li6Hrqotv7Z7FXrevaSDed0c7rhbKtNH+ddoR2Svekq4bHKeeN7u6yuJScwK+WILAzwkApC/VHABac4JZoy6zH5DJ1RqEfDl5AEg++DmdsyrKkgHA4c813u9k1VZfylKdLu9FwuscAHzzutpz9HTzG3FZwknPhgvmVXfE5ctJT1Y47Ai/Ayy3vq2xTnRsQ3kpvT/gqCUc9Dy4EwBxAOi/zYI8L5NzcNK35wBAvH4hcC9zK0oOC6X/Dj2tGgAqPJjnPf/Jd/K+yZ0sq1J/G/vaZJ0Ogpc+eW98jVT3HJCsDYeVUSKid3oghgKA8kB7ZHCEBfBHfODPAYCHKgCwi6JjrqUziEs55q90DC1O3uIGqYkMAKKV3p/uRwDAfnuKXF58R/NdwfsLYxkA3Ghi6VN1BdoBAH4Qr44tqf32FFgZJSLdr1YOHoTUVMZeH98RqCCmSfD+gDMEPsMuFcu97tHhqXWI04ZmAWBy+lUBgCaNo/70pz/hk08+wYULF/DYY49BR0cHjz/+OC5fFj9WVqZZAHgwxQeAkAQ3Wmg7NDr9v0hXcQDwnd2z2O/+DQ3E73aJF1dqog2S16DrqosVjk/CJ9GGrhsQe16r62Rzxbn+Xz6NwC+eRtWChch4XnMAaM7yp4Fx8umfkMG5DYV8sXjScyYd+IzOWRNnR/8dffAzjfc7WV2rZQ3PEm0OIGEFgajor15Te47uWyyQ8Ta1lHP0UVd8APA/yADgal2N6Nj64iJ6f+Cxy3DQIwW5znri6WY9N9kTci/T8zwAEK9fCNjDACA1OpL+O8RMNXhUuCXSe1sT2d6T9qj/fqmr3qvsqXf22WC1AcBuLensHLPLEzHbnEUD7eE+VkuRftQHAUYkOHc3UL5OsU0Ee9qeU8UA4IgqAOCKk7e4Ic6UpBnZGMYovT/Nl9SHOOxMRRMPAG40CQMA/0n4zZYe+u/afO38vuSn8VzJFQcAyTYOAAJq5dKHhMQHgOv1DGzzo5sE7/c/TQAg3FIeAEaGpv/vlphmAWBy+lUBwKJFi/Dmm4rFbJWVldDR0YGdnXBBYldXF3R0dPDYY4/hd7/7Hc6dOwc/Pz+89957Ksfx1dHRgYqKCrmP0NDQWQB4ACUEAEtcFmFweHS6t4bP7GUA8BwOuH9LA/Hbt4Sbw2hLRpJXoeuqizcdn4Rfkh1d1z/mZ62uk8PZc/p/9TQCvnyGNNl6TnMAaMrwYQBwdg3SX/wnqhYsROgqDQBg36d0zrokFwYA+z/VeL+TVWsNa3iWaHcQ8W8SAIj58lW157jdwewMffZawlmfNfVSV056XO+ANQ7wP8T89VuqK0XH1hYU0PuDTljBQc+NAwDxZl532nldhPech5MBl4r0k3j9gr8JA4CMeFbQGnJC9UOich4AXEspZgBgqn0A6Glh1pfZPwfDW5/Akfd6MQAgQBOz2xOx2zkAWKc80B66288A4JivWgBQZMUA4EZ+DTsJOeKndIzDWg4Atrojfg8HAOuUu8Cl+nAAsCtVLkC+0SgMAPnRDAA6r/IAIE87ABAjYYW8/GZdyvoS2G0l6WIZAbVyBcRC4p9w3Ghkpxf5UcJpdP6nSOF1xOUSFElZ7cPw4PT/3RLTLABMTr8qAHjiiSfw/vvvK3y+oaEBOjo6uHDhguC41tZW6OjoQEdHB76+vvTz9+7dw5NPPon//u//Fl37yJEjdI7xH7MA8GDpihwAuEPXVRdPuSxC/9DUeu2ro0/tSeD9vd1zOOjxPQ3EOzuE80K1pfWSVygABKQ40HV9o09rdZ1crkGX39fPIOCrZ1G1YCGyntUcABpSPWhgnHLOAGnLOQD4THfScybu+ZjO2ZjuxQBg78ca73eyaqnKZalO9kcQ9xY5RYn5/BW15+i8zp4eEgCw4gBA/Zx22jxsjT0CjjAAaKosEx1bk8cKaYPMrOCwxlVtAOi6xvKwvfdOFAAs6NjcVJbWE3xcdZ1LmUs8e1KbztKXEk20DwB3G5nTTO75EPgYyADAV+U4WWfnWGNPSHe4iAbaA92sliLjuB8CNxAAcDNQvk7R5XD2tL2EWbkmHVIOAPZrOXeibe5I2EsAwHqdVOn9Kd4ELBx3p8nlyLc33BG8Pz+KueHcamMWqlfy2pWuMRHF8Lz85foStCkBgC0EADID6+QsRIXEr3HoaGYAkBcpDAB+ZgQAIq1K5NyPhgdmAeBB1a8KACZ7AtDZ2QkdHR385je/wdiY/HHYsWPHoKOjg5YW1e4UsycAvx7xASA00Z0Gu70DU+u1r44+4QDgB7vnccjjR7q3jvb6KV13neRl6Lrq4m2HJxGU6kzX9Y4y0+o6eUs4APjmWQR8TQAgWwsAUJfsSgPjVHND7QCA6Yd0zpZcVmMQtecjjfc7WTWXZzMAcDgK6dvkFCV21ctqz3GjtYEBwP7LcNa/zAGA+q42TmscOQCQIPCoFZ2voaxEdGxVdhYLvk/ZwGGNCwcA4t18bzZf5e3dHE4GnBvRTy6iY/12MwAoyE5jEHJUNQCUOrEGWO2Z5dRBKcFY/ZoJdXWnnp3O5JqHwseAnI54iQGAIQEAqYkX4tQBgFvsaXnmSfUAoPBSGAu2K5ro+5B4UBUAcMXJ292RuI9Yr1qvV27rnexFAMDJOE3OJed6vTAA8O0wu9oZ1NTkaAcAom0JAPgcz5HvS6DEltR2MwGArOA61kRsjxIA4Lkc3WxlX4/ccOGYwvckAedI61K5/gdD/SNaea1TqVkAmJx+VQAw2RqAe/fu4eGHH8bjjz+u8H+2trbQ0dFBSYn4H6bxmq0BeDAlDwAeNNi9o4XCcU31MQcAP9otxRHPn+je2q5dmdJ110legq6rLt5xeBIh6a50Xc/IE1pdJ/8pDgBWP4uAr59D1YKFyHlGCwCQ4EgD47QLRkh9mQOATxdNes4E4w/onG1FUQwATD/QeL+TVWNZOkt1cjoB6TscAHz2ktpzXG+qpcGD74HLcDbgAEBP/c62jmucSKC2xg6Bx63pfHXFBaJjKzNYZ93g0zZwkHXz1RNP1bzR2Mzbuzmc1nIORj+JB+N+uxgAFOezhl6BR1R3IC5xkDIAyK6A9XoCBPG7tQ8A3bUMcPIsQuErA4B1qgFA1tk5ztQLcTtdRJ+0999kOedZZv4I2kgAwFVfeTBfcJEVTt+ubqW9JBIPKN+brDg5aoc7EvdzvRfWxyu9P8mzmsCgSbqcT35bXbfg/bm8jrjdHSytqSb7utI1JqIoG3Li43MiF/VFDAA6rwr/rbDZRE6WskLqkeTBvRZTYQvz8X0OrDaQf+eECccUPscJAETZlKIkkQHAYN8sADyo+lUBgLGxsaALkJmZmagL0IsvvoiHHnoIw8PyaRyHDh2Cjo4O2traJryfWQB4MMUHgDAeANy+I/xH5pfURxwA/GT3Ao566tG9XW0Vz63WRGs5AHjX4UmEZbL3xCP8qFbXKVhMglffb59DwDcEAHKf1hwArsRJaGCcfmkjUl7hAODjyQNA/K736Zw3yhPovyONFdMUfynVF6ewVCcXM8SuJKcosZ+qtknm61p9NQuiD1rB2YAU8drrqbaa5MtxjSxot0XgCQYAVwpyRceWpbGn7yFnbeHIAYDzGnEAuF7bwNu7BQ8AxNNxfHcyACgvYXUIAYdVO10VS1i9QEduFazXESCI2+UiuuZE1VXDUjvyL4bDby1Jj/JcpzwwBwAbrrNz/B4vxO92EX3S3nuDeeZnnQpA8CYPUQDIt+ABwJWrtJt0wn7ldQPMncgdSQd86HhlPVeSZE/NTdPlOuW21QrbIOeEcd8PG4g3v+z+6iztAECkNQEA35O58rakrcK2pNYbCQBkh9YjmYMZJxNhABjf6Zg/Vkjex0gTumi7MpQmMVAc6J3+1FUxzQLA5PSrAoCcnByFPgBDQ0P4+9//jmXLltHPtbS0oLq6Wm7shQsXoKOjA3t71hBmcHAQTzzxBJ58cnJdXmcB4MFUjRwAeNJg9+btqbXaVEcf2i+Crqsu1tgtwzFvA7q3pubSKV3XQLIcuq66WOmwCBFZPnRdt7DDWl2nSJcDgO+eh//q51G1YCHylmgOANUxNjQwzrDcTAEg7CMNAGDne3TOzpoM+u+I3e9pvN/Jqq4wiaU6uZ1C7HsEoqQfv6j2HK01FTR48DtkBRcKAKoLTfly5NJ2nPRsEWRmwwKvXOGmR3yVJLP8+9Cf7eCoxzXzWiPezfdqDa+L8CELOK/lLEx/Ei9g9uEBQE0F87EPOKgaAIrsYhgAFNTQYDtup4vomhNVVyUrai24FEEBwEMEAGRQkrDXGwm7XUWftPdeZ8F19ukABG+SNWNT7uiTbx7MnrbXtdFTh/h9yr9vmDuRB5IPMgC4p8RyOZGXN3+N541/rUYYALJDSS2C9cYkOQCoypz4Az8hRViR7xM/szy1+hLwn+Kn8NKZhCRXU3C9T+70QEheRwkAxEjKUJbMAKD/7iwAPKj6VQEAAHz11VeYN28eTExMIJFI8NJLL2HevHlITU2l97z++uvQ0ZF/awYGBrBo0SL85je/gbGxMSwtLbF06VI89NBDiI5WboemSrMA8GCKDwDhPABo75xaq0119D4HAHp2y3DC25DuraGxaErX1Ze8CF1XXbxvvwhROX50XZfQA1pdp5gDAJ/vn4f/t0tRtWAh8p/SHACqIplPf4bVViS/+iQBgA8nDwBxO96lc3Y1FjAA2PmuxvudrGrz2UlEmvtZxLxPIEr60TLxwZyaK1khq/8RazivvcQBgOo0E74cucJdJz0bBJ2yZYFXtnC+M1/FicxVJ8xcwgMA8W6+rZXMfcbvsAWcDTkL05/EC5h9djAAqLvCa0Z2QNhcQqYiG9YA62bRFQoA0h0uomtOVLfKWU57weVI+MsAwFAMAEg6TsI+byQau4o+ae+5yhxocs4GImSzrBmbcgDIPRdEx9xpaIeNIXlf4vaqAgDiThS7ywMphxkAjI0IF64muDLnHL43/tXq24L3Z4UQALDZlISe26xLdGWGdgAg3JIAgP+pPNG+BPfv36f/nxvegFRZQfMuYQC4ksdsRbva++TqB4TkdYSkrcXal6M8ldWK9N0Z0sprnUrNAsDk9KsDgMHBQRgbG+Pxxx/Hb3/7WyxduhSxsfLFTEIAAJBC3jVr1uDRRx/Fb3/7Wyxbtkxh7EQ0CwAPpuQAIMmL5dl3aOePhiZ6z4EAgIHdizjps57urbY+b0rX1ZMsg66rLj6wX4TYvCC6rnPwPq2uU7KIA4AflsL/uxdQtWAhChdrDgCV4RdoYJxlswPJr2kOANLt79A5715lHXjDd7yj8X4nq5o8KUt18jyHmA8IAMR98ILaczSWMStL/6M2cKEAoDrI5MtxjRsFgOAzdnS+8gzhYIevIilz1QmzsIcjZynqtEa8m29TWQVv7xcmBADe28zp2KZ6HkjsUw0AhdasAdatkjrYriNPvmO3izsPTVSdPHedIutIBBiSYN7dUHlgDoAV5O73QZIpDwCUdDe/08zST3J/DkLoFhkAKO/qm/szOwG409xBC4/j9igHANk9sbs9kXrEl44fHRR+ah3vwrzz2+pYmlJrlRIACK6DlVEibDcno7eLBwDpWgKAS+RnJeBMvrwtqUBfgvv3eAAQ0YhUXk8DIY3vK8B3EBKS52ECAFKHcQDQPQsAD6p+dQAwkzQLAP9aGh0dxcGDBzF//nw89thj2Llzp+ATMD4ARPAAoLVdtVPUL6GVMgCQLIeZ7wa6t+orOVO67hrJCxQApAWhdF2noD1aXaf0SQ4AfnwBft8TACjS1RwAKkLO08A4224Xkl4nABD+weTS/wBAuvVtOmdfRz0DgO1va7zfyao6O5qddHibI/pDcooS9776AFDPz38/bgMXw4scAKgOMvlyoABgjdCzDABK05JFxxbEspz68IsOEwKAhmJeF+FjF+FsyPUw+Em8gNl7KwcA6+PR2sxqCcQAoOAyaxp2u7wBttyT75htLqJrTlQ3i1iBdpFNFAIMSaqVmxgAcGOSDvgg2dSNPWlXkmpzp5EFn7nnghDGAYCTCgDIOctOAHpab8JW9nTfVHntiOy9khp7Iu2oHx0/0ifsuBbnzLrn8ptjtVQKp2dmBhIAsNuSjL5u1tysIu2aindLfYVdJI3fAs/mo7mcZ0vaqOhKdI8HAHmRjUjzIwBgv0MYAOQ6C3f0w45rIpahBAA8DhL3LKljBSrSGAD0ds0CwIOqWQCYRs0CgLB6e3tx+PBhrFy5Ev/xH/8BHR0duLi4CN6bnJystL9CdrZ4vjBA6kBMTU0xf/58PPzww3jhhRcQF6dY4LZt2zasWrUKXV1d6OrqwuLFi+Hnp/hUs5oDgPKqYkQkebM8+2vC/su/pN51eBK6rrpYa7ccp3w30b1VVYunVmiiNXZLoeuqi4/sdZFQGEHXdQg00eo6Zf/kAGDNMvj9sExrAFAWdJYBgL0xklZwAPC+BgCw5S06Z3/XVQYAWxWtin8pVWVG0H1k+l5E9EcEouLfW6r2HFcKcmjwEHiCAYBERfA3Xg5r3LmA0Qqh5yR0vpLkJNGxeZEspz7ykhMcua7CTmscRcfWFZTw9n4RzutkPQzEC5i9tpIUIOt1cbjexopt/fZYqByXf4k1wLpd2QQ77ql2zFbtnwB05LMah2LbaASukwGA8q/NvXv36Jjkgz5I3sMDgBFhAOiuY/0G8s2DEbZVBgCBStfJPhPIgs62WzS/P9ZE+XtP3YlMPJF2zJ+OH+oR7qQrdSQA4HEwC+0NDACaK4QBICOAAJPdthT03WEAUJ6qHQAIvUAAIOjnArSI9CUYG2Nfh/yoJqT7k71JtqcIzl2dzXpa3Lk5AMl21kVYSO4HMsl76VSBygz29eu5Pf321WKaBYDJacYCwHvvvQcvLy8MDAxM91amTLMAIKympibo6Ojgf/7nf7BixQq1AGDbtm3w8PCQ++js7FRrvdWrV2PevHkwNjaGRCLB8uXLMW/ePKSnM3eFq1ev4o9//CPu3GG/mE1NTWFqaqowHx8AInkAUNc6tVab6ugdDgAMJS/hjP8WureKKuGnSNrSTxwAfGyvi6TiaLqufeAura5TsZADAL0X4ffTi6hasBAlizQHgNKAUzQwznXcg8Q3FpF8/fcmDwCxm96gcw723aT/Dtv8hsb7nawq0kMZAPhbIuoTDgBWPq/2HDW5zIc/yMwWLutkAKA8+BsvBz0PCgBh5+3ZU+uEBNGxueHsiXrkZWc46kk4AHASHVubV8gA4ORFuFAAEC9g9tpizgFALG7eYAGUr6m5ynF5F1kDrO6aZtgZkv1HTwEA3MhjDk0lkhgEcQDgqgIAxkZGGQAc8kXKPgYAo8NjgmNuX2FFpPkWoQjbRgDAUT9I6TpZpwLomL4bXdThJ8ZYBQDICqZNPZF+nJ0ADHUL22hKHUhthufhbLnuuE1lwn8r+EF2/91hen9ZsnY6p4dYkO+3oHMFaK1khdPXBWxJx0YYABTENMnBiZCqMhkA3O0cgL0MAPxUA0C8cyWqMtn3791bMz8GmwWAyWnGAsA//vEPzJkzB7///e/x008/IT4+XmnB0b+qZgFAWENDQ2hvJ41W8vPz1QKAgAD1ny7ylZubq+AMNTg4iL/97W9YvpxZH3p5eWHlypVyYw0NDWFurvjHvbqznAOAEkQmM8ebK01Ta7Wpjt7mAGCd5GWc9d9G91ZaIf5kVRP9KHkeuq66+MReFymlcXRdu4AdWl1HFrx66y+H35rlqFqwEKVPag4AJX4nGAA470fimxwArFTsK6KuYjeuQNWChahYuBDDA90MADat0Hi/k1V5KmtIlh1ohahPySlKwrvPqT1HZTbz4Q86ZQvXdRc4AFAe/I2XwxpZzvhlhFs4ssAnTrzmKjuMBdRR1i5w1OOaea0RD6hrcvJ58HIJLutlACBewOy1mTsBMIzB7VvM0cXXRPUJQK4Fa4B1p7YVEkPy5Dtqi/YBoD27iq5V6hCLYA4AXAyVw9noEAt8U474Im0/A4CRIWEAuFXNfOQLLoYiXA0AyDzJnuAP3LwDiQF5X6J3K0+/krkTxe/xRAZv/OAt4cZesfYEALyOZMt1x20qFQYAmmazPQUDPex9KE3SDgAEnycAEHy+EK1ytqSKADA6PEb/vzC2WS49SUjjn+I77EyFlVEi0nyFH0S57SMAkOBSieoseXiY6ZoFgMlpxgIAAOTl5WHbtm14/PHHMXfuXPzXf/0XjI2NUVxcPN1b04pmAUBcEwGAnp4ejI5OrG25iYmJYG+IU6dOyfWGsLS0xDfffEP/f2RkBH/5y1+QmZmpMKc8APiyPPvG6f/l9KYjAYD1kldxLmAH3VtRqXJLP23oe7vnoOuqi08lukgvT6Dr2vht09oa9+/fZwBg8BL89F5C1YKFKPvnQty7J5yqoK6KvY/SufPdDiHhLQIAke9qAABGr9P9jQz10tOLsI2vabRXTVSWHMAAIMgGkZ8RiEp4R30AqMhgPvzBZyRwXU8AwM4gWO05HPS8CAAYWCLighN7mhwbIzo2K5j5yUfbusJJn/PyX+MiOrYqk6UvBZ++DBcj0sTMfo14AbPnJgIANobRuNPNHGZ8jFWfAOSY8wCg/hrsDbnmVpu1DwBtmazIucxRiuD1pEeCy1rlgfloPyt+TT3qh7QD7vR6eFD49+2tStZQrfBSGCK2EwBwUPE9kHmCBwC37sKeA4CoXaoAgHMn2uuFTDN2gtB/UxgAYiSk867X0Rw5AGgsuSl4fxqv0Hawd4SdniQq7xk0EQWdI/UyIRaFuMq3Jb2iaEs6MsQDAGmzXIGykCrTGQD0dg3CYRcBgFQfYQBw3UvAPcGtCjVy6UPC6VQzSbMAMDnNaACQ6d69e4iNjcUPP/yA3//+95g7dy4WLVqEs2fP4upV7ZD4dGgWAMSlLgD87ne/g46ODh566CGsWLEC+fn5as2vbnfozMxMzJ8/H9euXUN3dzf09fXx8ccfC87JB4AoHgBU1k8/uL7BA4Dzgbvo3gpKxAMrTfSdhADAZ5LFyKpMoeta+23W2hpjIyMMANa+BD+9l+kT9omC4XgVeh6icxd4HEXC27oEAN6ZPADErH+NAsDYcD+tXwgzmj4AKEnwYycdIXaI/JwAQOJbz6o9R1kq8+EPOWsPVyMZAISoPYeDnjcFgMhLznS+3KhI0bGZASH0/hiJGw8AxDvrVqSx9KXgM5fhsoEDADUKmBkARKGnt4cBwG4RADjPgOVuYxsFgMhN4ilLE1VbOrMnLXeOQ4gR1yRNBQAM9zL/+7Rj/kg/6EGvhwaEf646y5jdaNHlcETukAGA8u+BjBMshWewuxf2BuR9idqpHACoO9E+b2SeYjUEfTeEff2j7QgAeB/Lwc0W9jVqKBYGgFQfDgB2pWKwjwcACVoCgJ8JAIReKJLrS3BVoC/B8CBLxSqKa5GzKBUSv5C3r3sIjrsJmKd41wje77KHAECie5V8AfGNWQB4UPUvAQB8dXd34+uvv8acOXMwZ84cPPTQQ3jrrbcQGSn+h2GmaRYAxCUGAJmZmfjiiy/g5OSEsLAwnD59Go899hgefvhhFBWJe9svWrQIb76pWHRZWVkJHR0d2Nmx7qHHjh3Dn//8Zzz66KMwMjJCX1+f4JxVcgDAPO/LrhSo96KnUCs4ANggeQ0WQcZ0b3lFU/vz863ds9B11cUqyWJkV6fTdS/7bNLaGsODgwwADF+Br/4rLMd+SLNj7AL3A3SuQq8TiH+HAEDU2xqcAKx7ldQoPLkQ90eHqYNR2PpXNdqrJiqO92YAEGaPiC/IKUrim8+oPUdJciINHkLP2cPVyIIDgFC157DX86EAEHXZhc6XEx4hOjbdj7nJSB084KRvozYAlCWnM3j52QquFADEUww9NsoAIBL9gyxo9t51XuW47HMMWHpb2uFgSJ58R2zUPgBcS2UuRxWu8QjlAMBprfIn80N3eumY9OP+yDjMAGCwb0RwTEcJDwCsIhC5k5zo2Kv4Hkg/xsvh7xmAgwF5XyJ3eCodw+xJveWKiPvahIt6o2zI6/c5noPOqzwAKBIGgBSZ1/7uNAwNsAC8OF47jm6BZ0nKWdjFItG+BOPX5zcpE9J4L38nYwIAyV7CAOBsSr73kzyqFXoIzHTNAsDk9C8DAOnp6TAyMsJjjz2GOXPmYPHixTh37hwuXryIp556CnPnzsWhQ4eme5sTkkYAEL0HcP5gZnxEa9fKkS8xABBSXV0dHnnkEYWcfSE98cQTeP/99xU+39DQAB0dHVy4oNrCT0h8AIjmAUBR9dRabaqj1zgA2ChZgYvBe+jecgrCpnTd1ZJnoOuqi88li5F3JYuua+mzQWtr9Pf2MABY9yp8175Kr3v7hDtrqqt81710riKfU4h/lwOAtzQ4ATAkgFK8aCFwb4z2MAhd97JGe9VERVJP+jrzIpwQ8SU5RUl6Q30AKE6Io8FDmLkD3DbIAED97zF7PV/uyfQlRFuznPOsUHGISPNhqSBxTp5wMpABgJvo2NLEVB68WMF1owwAxAuYPbjXabs2AkMjLF/ce6dqAMg6y/zv+651UAAI36B9AGhNYj0aKtwTEbpBDQC4zVJlMk4EIPMIDwB6lQBAEes3UGwdgSg1ACDtKPPxH+4bhIM+eV8idgifAPAbYyUd8EG2nI1oh+CYSGsOAE7k4tY1Bjb1hcL3J/O67Y5/Aq8NBZwhABB+qVi0L8FQv/wJRE5YA7nekCg49/huvs4mXIDvWS14vxP3/8me1ajNk+8iPNM1CwCT04wGgMrKSuzbtw//93//h7lz5+Lxxx/Hrl27BGsA1q1bh0cffXQadjl5aQQAzh8AR/6/mfHh/MGkXv/w8DDa29vlPsbG5IvKJgMAAHH2+X//7/8pzDdeEzkBUFdVnRUMAP/U8HIAACAASURBVFL8abBbWKVYL/BL61UnAgCbJG/AMmQv3VtGnvoFmpORDAC+kDyFwrpcuu4l7/VaW+Nu1y0GAEavwc/wNXrdfVf4iaC6ynM2oXMV+59B/MrFqFqwENFvagAAa19iNqX379MuxqGG0wcAhTHuLNUpyhXhXxNISV7xtPpzSJkNZ/gFJ7htlAXG4WrPYa/nxwHARcTYspzzzGDxOoJUL/YkOd7ZC04G1hwAuIuOLY5L5sGLDQUAdQqYGQCEY2SUBWteO1QDQOZpHgBc74SjIUl9CZsKAEgoomtVeiQijAMAx7XKU3MGOpldZoZZIDKPePICS2GP+BsFrN9AiW0UoncRAJCogMDUI6yT78jgCBz1SUAfvl0YAO7xbDGTD/ogh9dI7G6zcNf1SCti8+p7Mhe32hgA1BUIA0CSJ3FNcjZJV8jB14b8T+WR12hZItqXQC4FKbEVueEN9FrIIIUPAAM9w3CRPeF3rxLci+yEIMWrBrX5PABomwWAB1UzFgCWLFmCuXPn4pFHHsHq1asRHR2tspDP29sbc+bM+QV3qLl+7ScAQh7+TU1NcvdMFgBMTEygo6OjUNw7XurWAExElTwAiEkJYGk2Fenig6dYr3AAsNn+TVwOPUD3lpajfpOmyegbydPQddXFl5KnUNxYQNe94GWotTW6OtsZAGx4Hb7rXqfXXV3CAYG6ynXYTecqCTyHuPcIAMS8MXmHoRh9AgAFXKfiIhkAGCwXGTl1Kox2ZQAQ447wb8gpSsprS9SeIz8mmgYPERed4bbRnD4ZV1f2eqQg1MXwIqQS9sQ5I0D8SXyyBwskE9y84WQgc/IR7+ZbKGXpS+EXbOG6yZIDAHHwcOdSnWwNwjB2jwWLXttVA0DGKfbkeqDjNhwNSepLmJH2AaAljjVpq/JKQvhGGQAofzLff4O502SeDkTWMQYAfd3CHvHtuawTcqkkGjHGMgBQ/vs05RD7uo2OjMFRn6T0hG8TTgHi25OmHPZB7nmWSnWn8brgmAgOAPzM8nD7eh+9vzZf+PdDkjtxTXIxTcfIOBcebcjPjABAhFWJaF+CgV55F6K8SJZmJdSRuTSJOTEN9o7QIt9EJQDguIsAQKp3DeoKWCfnW9eELVVnkmYBYHKasQDw+uuvw9HRUTSAk6m/vx/Nzdr5ofyl9GuvAejq6kJ8fLzcx+Cg/B+UyQLAF198gYcffljU/cXY2FjQBcjMzEzOBWgiUgYAOWXJE55L23qJA4At9m/BKuwg3VtKlrjPuSb6mgOAryRLUNZcSte18DTQ2hqd11sZAGxcAd/1K+j1zZuaHdnnSHbQucqCLyDu/acIAKzQAAD0SIFt/lNkjsLFHADoTx8A5Ec4s1QnqSfCV5NTlJRX1QeAvEjW2CrS0gVum2QAoH6diUQ/gAOAC4hzYAFnmp84qCa5sUAy0cMXzmtlAKA8l1ymguh4BgAX7eC2WQYA4gXM7rTYOZSkp3D56V7bVANAuhnLXR+81Q0nDgBCpwAAmmOZzWm1TzIiNhEAcFir/Ml8X1snHZN1JgjZJ7zode8t4afD13NYv4Ey+2jEGJOibjsVEJhy0JuOuTd2D07c90DYVuGv2+ggC4hTj/giz5wVU3fXCTfqCrckAOB/Kg9d7QwAruS1C96f6EYAwHVvBkZHGAAUxDQpfR0Tke/JXPJzYl0q2pdgfB+C/KhGufdrvEoSeADQNyLn8iMkmU1oqu8V1BcxAOi8OgsAD6pmLAC0tLSobAI2MDCAlhbt5OFNl37tAKCOxADg5k3F4q2SkhL85je/wSeffCL3+f7+flRXV8s1CMvJyVHoAzA0NIS///3vWLZs2aT2zAeA2NRAGuxmFos3MZpqLecAYKv927CJOEL3lpyh3GlDG/pKsgS6rrr4WrIEla0VdN3znnpaW+N6ax0DgM1vwnfDm/S6/bpmXZizbbfSucrDLBH3IQGA2NcnDwDRa0ijsrwlZI6CpzgA0HtRo71qorwwB5bqlOCDsO/IKUrqK0+pPUdOOM+H38oV7psJANgYRqs9h4R7+uuy7gLinVhgmOIjbseZ4MIC1CRPfzivvcwBgPj3eF6ElAcvErhtsaRBvZjc18u7HVmtJ7UQnltFAOAEDwBu34WzIUllCVmvfQBois6ja9X4piJyszgA9FxlPQ2yzwYj5yT7evR0CNfWtGVW0nvKHWMRayIDAOUQmMwDgPv37lMACFUGAH3y9qT5FxgAdF0RdgcMv0RqIALO5KP7Rj97L3KEASDBlbwO130ZGBtlKUf50U1KX8dE5HOCAECUTaloX4LxnYjzo5vo9dioIgAUx7Nu1EMDo3I+/0Ky38H1CfC7goZi9jW/2apZ/dQvoVkAmJxmLADMnTsXXl7Kf2H7+vpi7ty5v+COtK9ZAFCuy5cv48SJE9i4cSN0dHTw+eef48SJEzhx4oRcN9433ngDH3zwAU6ePAl7e3vs2LED//Zv/4Y//OEPqKqSf9IhSzk6cuSI3Oe/+uorzJs3DyYmJpBIJHjppZcwb948pKZOrjtuhRwABNFgN71QOqn5tKllzgQAtjm8A7vI43RvCeni+dGa6EsOAL6xexo1bTV03XMeP2ltjWuNVTwAeAt+G9+i11dbhZ0v1FWW9WY6V0WkNaQfLUHVgoWQvqYBAPxImmzlPk3myF/CAcCayYGnNpQbImGpTol+CPuenKKkvaw+AGSFsFSMaBs3uG+RAYD6VrMSLv/bZZ0FElxYcWiyl3hDrgQnljKU7BPAAwDlHWVlyglj6UtRl+15ACBewOzGNTyz49KFZE2qPLeoBoC0E6xoefhOLwOAddoHgMaoXPbU2z+NAoC9ofLUnJ5m5giT83Mwcs3YCcvdduET+mt8u1EnKaSmJLhXdQqUtJ8HAPfvw1mfpIGFbhEGgOEeFsCnHfNHwSXWT+F2lfDDwbCLpAYi8Gw+7tzkAUC2cMpQvAsBALf9mXI1B/lRmj1QkMnnOOk7EW1bJtqXoK9bHgAKYhgAjI4o1roVxTEAGB4clev0KySJrFOwfy0aS3gA0DILAA+qZiwAzJkzRyUAeHh4YN68eb/gjrSvWQBQrv/93/9VqA8QqhO4dOkSXnjhBTz66KOYN28e5s+fjx9++AF1dXUKcyoDgMHBQRgbG+Pxxx/Hb3/7WyxduhSxseIdR5WJDwBSHgCkFqj/BHSqJAOA7Q4rYR95ku4tLtVlStf9QvIUdF11sVryNGqv19F1f3b/UWtrtFwpYwCw9R34bnqbXrc0aPaHIdNqI52rKtoO0o8JAMS9qgEA/PACqhYsRM4zZI68pzkA+PEFjfaqiXKCbFiqU3Igwn54gwDAS4vVniMriBVjxti6w30rAQDrder/TNlxDjAu6y2Q4MaKepPcxZ/ixzkw16BUvyA4G6oPANmhPACwdoD7VhkAiNcCua27CCujREj0SZ2C9bpYWBklwmOzagBIPcYaYI309sPFkMBPsKH2AaAhIpuuVRuUjqgtBAAkhspTc+42sqZQuedDkHeaAcCda4odawHgamoZvafCJQ5xe8gYW8Mopesk7WMnNwDgwgFAyGZhABjqlrcnLbRkJ0+3yoUD9NALBACCfi7A3U5m1VqdJQwAcc6kcZr7gUzcv8dch/IitQMA3scIAMTYlYn2JejtYiceFWnXUBjLmq2NDCsCQKGU9/9DY3A/SHpcxDkJ/y6020YAICOgFk2lLO2ro1m9NOzp1CwATE4zCgDu3r2LlpYWtLS0YM6cObC0tKTX/I/S0lJ8+OGH+Mtf/jLdW9ZIswDwYEoOANKCabCblDfxgmJtaykHADsc3oND9Cm6N2mK45Suu4oDgG/tnkFjRxNd96zb91pbo6mqgAHAtnfhu+Vdet1Yq1kTtgzL9XSuaqkjpJ88jaoFCxGvCQB8v5R03OUAIPcZMn/ID0s12qsmyg6wYqlOqcEI+4mkUaUvVx8AMgJYSkusxAMeFADUPwGz4zzgXYwskOTBAuREV/E8/jiJK3syHBACZ0MSxNvriZ8eZAax+oUYW0e4b7PknlyLFzC7GcoAgPQMsDEkbkgem1QDQMpR9vpGB4YoAARNAQDUh7JGZ3XBmYjeKgMA5U/mu+uYn3yueSjyz7ATme4WYXet1uQSek+VWzzi9hIAUJUGligDgPWkK7mLPgG/YCUAMHiLZ0960h+FVpH0urNU+O9miEUheW/PFeDuLQYAVZltgvdLHTkAOJglZzuaG66dv8teRwiQxUjKRfsS9NxmAFCZ0YYiqfwT/vHiA8Lo8Bg8DpGvvdRRCQBsIQ5YmYF1aCpjAHCjcRYAHlTNKAA4evQo5s6dq9bHnDlzYGZmNt1b1kizAPDg6f79+3IAEJcWQoPdxFz1GyFNlZ7nAGCnw/twijlL9xadLJnSdWUA8J3dM2juvErXPe32rdbWqC/LZgCwYyX8tq6k1/VVeRrNnX5xHZ2rJs4F0k85AHhFAwD47nlULViIrGfJHDkcAIR+/7xGe9VEWf6WLNUpPRRha0gaVcaLumrPkebHAlqpgxc8tplzgV2c2nPYcV1gXYwskOzFUmQSXMRT1WJtWeOwjOAwOK+7xAGAeP1Ahj9LI4mVOMNjuwwAIgWtFvliAEAKlW0MyWmCx0bVnYBTjrATjnuDQ3A1DJwyAKgLzqRr1YdmIYYDADtVAFDL7CTzLEKRf5bt93aTMAC0JLB+A1UeCYjfJwMA5WlgCXs8OVAk3yeu+gQ0gjcJA0D/TZ496ckAFFszALhZrHgCDADB5wkABJ8vVAiohSR1IKlMHoeyAIDenxOmnb/LnocJAMQ6lIv2JRgPLPwc/2GBjszjU4T4awnJdjMBgKzgOjSX36Jj2xvuCN4/kzQLAJPTjAKArKwsnD9/HufOncOcOXPw3Xff4fz583If5ubmsLOzQ35+/nRvV2PNAsCDp3s8AKioKkVceigNduOzptZrXx0967wIuq662O34AVyk5+neIhNtp3TdzySLoeuqi+/tnkXr7et03VOu32htjZqidBq8+uz8AH7b3mdBe3mWRnOnWRjQuWoT3SH97BlULViIhJc1AIBvCQBkPkfmyH6WA4Dvpg8AMn0vslSnzAiE6b1D9rhMfQBI9WEBYpyTNzy3ywAgXu057AxIIO66wRwp3iylKN5RvJlXrLUzvT8zNAIuFADEHYTSfFkhqdTBBR47OAAwjMbomGKQxZerIVlHwoGGjWGkWgCQdIgHACMjcFtHACBwrfYBoDaIdTpuiMhGzDYXDgCUp+Z0VbNAM/9iGArOsf3eahDuoNscz/oNVHsmImE/CeZtVKSBxZvKAICcFMkAIEgZAHSwzrmZpwJRbBtFrzsKrgiOCTpHbFBDLArR28Vy6ivShF2DYjkA8DycDQCw3sAVQ4fWK30dExH/qbxYX4LxKUt8l5+hfsWGbOOLhPmnDUKy2ZREACCkHi0VswDwa9CMAgC+jh49irKysunexpRqFgAePN27d08OAOJ5ACDNmFqvfXX0tAsBAGPHD+EWZ0H3Fh5/eUrX/dSeAMAPds+i7W4nXdfM9SutrVFVkMQAYPeH8Nv+AUvbKZlcQbdMqef16Fx1KV6IXfUsqhYsROJLkweAqG+eI0/XnydzZD3HAcDq5zTaqybK8DZn71l2NEINSBpV1guL1J4jxZPnw+/iC88d5iwQEWnMJ5PtWpLP7brRHGl+rKhYau8qOjbmsiO9Pys8igcAAaJjU/mw4eQGj52W9Mn18Iiw571Mrmtl6/hyr4GkE7lvEAMAXwpI9+/dowAQMAUAcMU/jb6+xqhcxG53poCjTLcrWCBZcCkChefZCc+tOmH//Oa4Qhaseich4YAfDe6VnaTEmXjKQYKbPvk+CtwoXPfRd50FqVlnglBix+o32vOEi/6DfiYAEHqhSKGoVkgxEgIAXkcIANhsJEFydoh2AICfly/Wl2B80XJJorzN53iNtwnl1xsIyVr22kLr0VrJej9crxOu85hJmgWAyWnGAsCvQbMA8OBp7N6YHAAkpIexNJv0qfXaV0dLZADg9DHc4y/RvYXGXZrSdT/mAOBHu+fQ0XObrnvS5UutrVGRE8cAwPhj+O38kKWzFCRqNHfKuTUsnSjdD9LPCQAkLdfgBOAbMkf6UjJH5vMcAHwzfQCQ7nmOnZrkSRFmSNKosp9XHwCS3VkxZ4KbHzx3MgAYHVEMVIQkC55dN5ojI4Cl5UglzqJjoy0d6P25kTFwWc89mdcXbyKW4snqFxJcPOC56zINSocGVXdEdV0rqzXw4V4DgRh3I9UAkHiAAID1+jjcv38f7utIylOAgfhrnahqfFN5AJAH6Q4X7vUpT83pLGOBZOHlSBSZs5SsmzXCxbNNMazfwBXfZCQe9GOvUUlvljgTDwpbAOCuT1yBAjcInwDI25MGodSeBwC51YJjAs+SfYVdLFKw1RRSjB0pZvY+lgMAsNnMPSUP1hIA8Jx5xPoSjLctLU3idfrtHVa4f3yjMOo4pAQArDaw9KbWagYAbbWzAPCgasYAwLFjx3D8+HHauOnYsWOiH8ePH5/mXWumWQB48DQ6NjoOAMJZmk2qeAHjlOr+fSzmAMDU6RN4JljSvYXEWkzp0h/Zk3V+snset/rv0nVPOH+htTXKsqJo8Opr8gn8d31Mr0tzJ+/qBADJZ39kBcWZQZB+QZ7eJ7+oAQB8RQAg7QUOAJZyAPD1sxrtVROluZ+lr/NKfjxC171HnIqeUx8AEt2YDWeSRwC8djEAGFLR24Uv27UkfcZtkzkyg5m7S4yt+FPxyIv29P68GClcjOTdeVQp2Z1XcOzmCc/dl+mT64F+1cWQrgaXOQAgbkO2XBqTu5Hqny1Zeows910GAP5TAADVPin09TXH5iNupwwAlP98dJbU0zFF1pEovsAgqaNKOHBu4NmN1vqnsjSn9fG4PyqcSiXd7SF3GiEDgIANwicAPS036Bo5PwejzDGWPbXOEra6DDhDACD8UrFCYy0hRdsSAPA5TgDAVlYoGyRcYzBR8b35xfoSyAFCbjvKkhkA9N9VBIDc8AYGAPfvw+c46zkgJPpehjfgag1Lr7p2pUsrr3UqNQsAk9OMAYA5c+Zg7ty5GB4eptdiH7N9AGY10zQeABIzGABEpEyt176Y7o+N0r3scf4U3knW9DooRrVTiab6kAOANXbPo3uwl6573HmV1tYoTg1jALDnM/jv/pQ1tcpSvwutkJJOf0fnas4JQ+xXz2sOAF+SOoLUZWSOjBfI/GFfPaPRXjVRqtsplupUlITQ9aSOIvfZJ9WeI8GZ2XAmewfBazcDgIEe9bqKygpo3TaZIzuU5XZHWzuIjo2wkDAAiI3jAUCw6NhEV57lqKcXvCgAxKG357bKsS4UAEjAKitkdl8vAgBcgaws991jPYEQP/0pAADvZPr6WuIKELfLRW5tId0srKVjim2jUHIpiF7fKBfulN4QwQOAgDQkH2ZgdX9YMVgFgNhdMgAg9QgeHAD4GwkDwHh70nIn1sTtWoZwnrv/KdIILdyyBAO9DABKk4QBIMqmlADAiVwAgN1W8v5lBGoHAPjdebs7VPcl4ANAbd4NlKcyd6a+O0MK9+eEcQCwgZx+8rsOj5ecw1FEI65dYQBwtWYWAB5UzRgA+DVqFgAePI2MjowDgAga7IYli+cvT6XujQ7Rvex1XgXfFFt6HRD985SuLQMAPbul6Bnqp+sedfpUa2sUJQUyANi3Cv4mn9HrwnTNHJiSzFazngL5UZB+TSw8U5ZpAABfECehFA4i0pdxAPDl0xrtVROlOpsxAChJQegGkkaV94z6ABDvyAAgxTcY3sYMAHruqJdOQAFgszlywmMYAFy2Fx0bcd6O3l8QnwjXDTIACBEdK9d0zNMHXiZW9Ml1zx3F7qx8uRhYcQBATvpkVqZu61QDQPxeeYccTwoALqL7naiqPBPp62tNKEL8bmKZaq3CoelGXg0DALsYlFoyAGgvbRYcUx/G+g3UBacj+ShLGxobFK6liN3lDisj5kjkYUBSyfyUAMCder49aQgqXOJY0JomnObiZ0YAIMKqBIN9I/T+kkRhkIm0JgDge5IDAM4rPz2gVun7NRG57CEAkOhehTs3eUW+AgBwu02+RqAijQcA3YoAkB1KTm6sNybJvfZIqxKFe++N63HQVtvNvk+qVYPvTNAsAExOswAwjZoFgAdPI6PDcgCQlBnJ0mwSp9ZrX0yjw310L/ucv4B/qgO99os6PaVrv88BgL7dCxgYYSByxOkTra2RH+9Hg1e//V/Af8/n9Do/RTMHpsQTX7OuwkVSSL8hTbxSX9AAAD4nAJC8fBwAfDF9AJDseJy+zobSdIRu+oi8f0//U+054ux5Pvz+ofA2taDXd26pDqJlknnou20xR14Ue7IbeUncrjb8nA0LWJNT4LqR69BrIA6B8Y6sG22Kjy+8TC+zvXcppmXw5aJPAMBBzwMAYGcQzAHABZXj4vZ4cwBAUl+8OADwnQIAqHTnAUBSMRKMXSngKFN7bjULlCUxKLvMirKvFwsDQF0Iz240JBMpxxgAjPb1C46J2ckBANdzwVMGAOuFAWC8PWmlWzwDgGThNBf+U/Chfh4AJAgDQIQV6WfgZ0ZshGm3XD/tAICzKXFlSvKolnP5qcpUBAC+TWhdQQcq09vodW+XIlRlhRAAsNlEAEB2+hFxWREAxuS6HDehrY4HAJWzAPCg6l8KAPr7++Hk5AQbGxs0Nwv/4vlX0iwAPHgaHhkaBwBRNNgNTBB/ejmlexu4Q/ey3+VLBKY70WvfyKntqfGeA6k9MLBbhuGxYbruYcePtLZGXqwXA4CDXyFg75f0OjdJ3ANelRKPs7muFSdAupoAQNpSDQBg1RI5AEh7kQOAz5dotFdNlOxwlL7OpvIshG4mdRQFS9QHAKkds+FMDwyHDw8AujqEXWPGS9ZF132rOQpiEuj4iAt2omPDzjIAKElNgxsFgDDRsXH2rIA5zd8f3nus6PXtm8JpIjK56FsTAFhDUv3s9MmTcjdD1QAgNSUAIEt98TIiAOAzBQBQ4cqC5GuppUg0ZrCmTO1ZlfSeModYlFkzAGgrEO6IWxvEAKAhLAupx1ndwMjdHsEx0TsIAEjWkoaJXgbEFchXCQCMtyet8mBw05Io3PjP5wTLgx8eGGWgGN8ieH+4JQEA/1MEAOx3kCLqND9hm9GJysmEAECyZ7VoX4LOq7w+AUUdqMxgANBzWwAAgusIAGzmAOA0V/9gqfjejI0wACiIacL1etZjoaVCuNfDTNIsAExOMxYADAwMsGgRKzwbHh7G4sWLaf7/H//4RxQVFU3jDjXXLAA8eBoeGZQDgOSsaBrs+sdNrde+mPr7btG9HHT9GsEZrvTaO2JqC+pXcgCw1m4Zxu6N0XUPOX6otTWyo1xp8Op/eDUC931Fr7PjNSvATjj6BZ2rrTwF0m+XEQef5zUAgM8IACRxVqKpyzkAWDWNAGB/hNU6VOUgdMsnJIXqKfUBINbGiQYPmcGR8NnLAKCzTbhodLys15F0Dvdt5iiMS2IAYCH+MxR6xpreX5qezgMA8U7csRJWwJweGAjvvQwAOttVP3Ry1rfhAID0KpDok6DXVQQAYk04AFhLUl+8jUgdgo+e9lMGy51ZmkxbejkSTRkAKLPnbMuoYADgKEWFLeuVcC1P2A3nSgDrN9AYkY3UEyxtaLhbuJg6arswAPis8xa8f7w9abUXA4DmOOHYgDrh2JZheJABQJFUCQBcIg3NAs6QvkMOOwkApPpqCQCMiS1rilcNert4AJCuCAA3W3mdgotvoiqT1UDc7VQsrs8MIgBguyUZACuADrukCACjw2N0rsLYZrQ3MABongWAB1YzFgD++te/4tChQ/TaxcUFc+bMgbe3NyorK7Fw4UJ8+qn28oenQ7MA8OBpaJgPAGVyAOAntZrWvd29e4MF3q6rEZrpSa89w45N6drvcgBgaPci7t+/T9c94PC+1tbICndiAHDkOwQeYHn7mTGaBVPxR1bRudorMyH9/kXi4f+cBgDw6VMEALhmYikvcQDw2VMa7VUTJdkdoq+ztSYfoVtJIXXRYvUBIMaK2XBmhUXBd98Fet3RKhxojZfVevKk2mO7OYoSmHNN+Hkb0bEhZixor8jMhtumC1yAHSE6NtbWnY7NCA6Gzz4GEx3XVP8udtaTAQD5XpPok7QX17UXVa9pTE4dZKkv3hsIAHhPAQCUObJ0qrbMCiSZsnqNe2PC9pzX0svpPeXOcaiUMFem1mzhYtgaP9ZvoCkqB2knGQAM3RKuA4nkAMB+LTmp8TbwUAkAfHvSgsuRqPFhBc7N0gLBMXwv/JFxQa+Qwi6ShmaBZwkAOO4iryvVW7jPwETFn4/fl0CoMdnNFgYAjSU3UZ3NAODOTUUAyAgkAGC3NRkAEHiW9UAYr5Eh3nshbcaNxrvs61emXtredGoWACanGQsAjzzyCJycmOXbp59+iqVLl9Jrc3NzPP7449OxNa1pFgD+tTQ6OoqDBw9i/vz5eOyxx7Bz506Fp2aDwwNyAJCSHcvSbGItp2nnRF3d11jqjdu3CM/2ptfuoYendO23OQBYJ1kOACwVyeE9ra2RHiKhwWvAse8ReIg596RHatZUKe4QKyi+UZMD6Q/LCVg8O3kAiPmEAEDiKxwAvEzmD/90+gAg0eYAS3WqLULodgI+Rbrqv87oy8yGMyciBn77L9Lr9ibhlBG++I4kHtvPoySZBZNhP1uLjg8xY3n7lbm5cNssAwBxJ6hoaxYQZ4WFwnc/A4D2FtVPfZ31bDkAcAEASPT91QKAmN3yAOAzhQBQ6sCsMtuzK5G8lwHP2KgSAEgtZYGpazyqHHgAkCX8nlTz+g00x+Qh/RQDgMEO4ZzyyG1kLw5rSa2Gz1oCAN7KAGCcPWmNHwPFpug8wTH8brijIyzoLYhpErw/9IIMAAhQ8J/YnGTH1gAAIABJREFUa0P8EwWxvgQdzSwobyztRE1OO73u7lCsq0gPIO5Nkm0pAPhdkBUBQO40JK5Fbq2m0lkAeFA1YwHgT3/6E8zNSQOV0dFR/OEPf8DBgwfp/9vb2+ORRx6Zru1pRbMAIKyKigp8+eWX+Otf/4pHHnkEjz32GF599VWEhwsf4Q8NDcHU1BTz58/Hww8/jBdeeAFxccpdLSY7ftu2bVi1ahW6urrQ1dWFxYsXw89PPrd8cKhfDgBSeQDgHa06FWCq1XmrhRXfun2PyFw/eu0WclB8Ag30FgcA6yUvAQDtR7DPYaXW1kgLtGEAcOInBB3+gV6nhokXj6pS3IFP6Fw36wog/fElklr0jAYA8PFiVC1YiIRXydP15Fc4APhksUZ71UQJVvtYqlN9KUJ3kkLq4kXqv86oS8yGMzdKCr8D7ASgrV68gdK9MRaYeewwR3kqyycPPSt+ihZ8wpLeX52fD7ctMgCIEh0bfZmlxORERMD3IAOAtkbh5lIyOesR9yHHNcS+U6JPAnlXA9UAEL2LAIAs9cV3IxnnxaUSaVMl9sxR6UZuNVL2MeAZHRHu0tyaVMyAyj0R1Y4R9LolXfg94fcbaJHmI+M067A80C4cUEZsFQYAr3XCDRRvFjF70iKbKLkuxw2RuYJjPA8TAIh1KMfYKK/wNbpJ8P4QCwIAQefkASDZU/X3grri1xSI9SW40ST/VP5KLg8AbggAgB95f+y3jweAQoV7h8bVQ4w/bZjpmgWAyWnGAsC7776LhQsXoqioCEePHsXcuXORm8t+qPfs2YP/+7//m8Ydaq5ZABBWVFQUVq5ciaNHj8Le3h4XL17Eq6++Ch0dHUgkioHc6tWrMW/ePBgbG0MikWD58uWYN28e0tPT1VpPnfFXr17FH//4R9y5c4d+ztTUFKampnJzDfAAoLKqDGk5UpZmE6W6I+hUq+NmI7PfdP8R0fmB9NoleN+Urv2WIwn4jSQvA2Adifc6vKO1NVL8LWnwGnhyDYKP/kSvU4LFnxyrknT/R3SuW42lkK55mTTIeloDAPiIAED8awQAkl7lAODjaQQAyz30dV5vqkDYLlL8XPqk+q8z4gKz4cyPTYD/IXYC0HpF/Mnp6BALhDx3maM8g1lKhpwWP0ULOs4A4EpRIdy3khoEmcuOKkVdYgXMudGR8DvECopba1UHF856Eg4AyGmTvZ4vBwCqu2xH7yS57hKuSHkqAaDYjgFAR/4VpO5nJwAjw0oAIKGI3lPlmYga50gWiKYKN9yq8mLpOK3xhcg4wwqH+9uEA8rwLQRGHA2IXavvWrI3L0NhAOjIv8KCVrsY1AXyACAiR3CMx6EsWBklQupYgXtyzjfCJ1Mh5oWwMkpE8HkSNDubMNcebYi6CvnXYqBHNQC0N/Ly8stvoTaPNULralfsUp3mS94fh52pAIDg8/KvhS85S9SEVoV6g5muWQCYnGYsAOTn5+PRRx/F3LlzMWfOHHz11Vdy//+Pf/wD33///TTtTjuaBQD1NTY2hiVLlmDBggVyn8/NzYWOjg7OnTtHPzc4OIi//e1vWL58uei86o738vLCypXyT6sNDQ3pKZVMA4N94wAgjgbZHhFT67UvprYbV+hejrn/BGlhML12DtozpWu/4fgkdF11sUHyCgDgaRkA2L+ttTWSfC4wADhlgOATevQ6MVCz9Cvp3g/pXLdbqyDVe4W4Cy1ZCCgpnhRTzIcEAOJe5wDgNTJ/xIfTBwDxF41ZqlNLNUKNSSF12T/VB4BwC1saPBTGJSHg8CX2NLi6SnT8SD+zQ/TcbY6qbNZUKthMDQA4ygCgrqQU7tsucAAQIzo28gIrYM6PjYH/EfZaWmqErSVlcqIAQOx+7fV8OABQvecoDgDsOZtSPw4APKcAAIpsWFO1m0W1SDvAip6HB4U79LbEFbATFe9k1LhEs6fDycIAUMFz5GlNLELWz6xwuO+qsBMUAwDSsM3PkACApxIAuDHOnrQuOINe14dlCY5xP0gAIM6pQsH7XkiyoDnEnATNLjLbTnfx72N1xO8rMNjLgvDSJEVbUn5hbkvFLdTmMwC43aYIAKk+HADsIgAQYlEod5rB1/i1xzsOzXTNAsDkNGMBAABu3ryJ0NBQpKSkyH2+u7sbFy9eRHGxsNXXv4pmAWBi+uijj/Cf//mfcp8zMTHBQw89hLt35Z0lTp06BR0dHbS2Cvs7T3S8paUlvvnmG/r/IyMj+Mtf/oLMzEy5cf2DvQwAqsuQnhPP0mzCz0z4NWtTV69X0r2c8NBDfFEYvXYKNJnStVdwALBR8ioA4BlnAgCm9m9pbY0kr3M0eA06uw4hJw0YAPipbsYkpljT9+lcd67VIc7gVdIga8lC3B8dmdycH+gSAFhBACDx9X8SAPhAV6O9aqI4i90s1elqLcJMvkHVgoUoXzgBADjPnpoXJaYg4CgDgMZy4Q6tfA30sKePXsbmqMljAWjwSdVP0wEg8Ahbr768nAKA9bpY0bER5o4MXuKlcgDQWKHadc5Jz54DANKt2F6PuPu46KsGgMgdMgAgT779NxEA8Fij/c7hRdbs6X1nST3SD/EAYEAYAJpj8+k9Nb4pqHXnAUCi8Nezgtdv4GpyMbLOhdHr3mZFj3sACNtMAMDJgPTskAGAh6Gv4P3t2cyetNRBivrQLAZ+wZmCY9wPkHSyeOdK+e634cJ/Z8fnzcs69ya6aQkAtpCTkszAOoWn8ON1fZw3f11BB72+dU2xw3aKN2ng5rg7DQCrZwj6WREAxp8+jO85MNM1CwCT04wGgAddswCgWn19fejs7ER9fT0sLCzw0EMP4bvvvpO75+2338Y//6noUJKQkAAdHR2ldQMTHZ+ZmYn58+fj2rVr6O7uhr6+Pj7++GOFcf2DPXIAkJHLAMAlbGq99sXUfLWMBwAGSCxhPQocAnZP6dqvcwCwSfIaAOA5DgBM7N/U2hoJ7qdp8Br8sxFCTxnS6zjf8xrNHWPyHp2r50YT4ta+Rvzxn1qIsWFFBw51FPseAQCpDABWcADw/jQCgPlO+jo72+oRtudbVC1YiIoF6gNA2M8sb744ORWBx9gT+foS8Yc2fV0s0PEyscCVfJaCEnRcHAACDrGag6bqanhst+AAQCo6Nvw8czAqSopHwDGWzlRfmq9yrJOewzgA8OIA4LLKcRHbCQA4cE++Azb7cgDgIbrfiargMg8AyhqRcdiTXg/1C4NsY1QeAwC/NNR5skLihnjhjrvlvH4DbaklyD7PAKCnUdgKNnSTPAD4r+MAYK0wAFzn25M6xaEhjAFAbVCG4Bi3fQQAElzIyYXs/hwlADDeOcd1HwGABFfhk4+JynYzBwBBdQp5+OM1vjtvfREDgM6rigCQ7EUAwMmYAMB4RyO++PUH5SlXcattFgB+DZrxANDT04Py8nKkpaUhNTVV4eNfWbMAoFpGRkbQ0dGBjo4O5s6diy+//BJdXV1y9yxatAhvvqkYRFZWVkJHRwd2dqobB01k/LFjx/DnP/8Zjz76KIyMjNDXp3js2jfAB4ByZOQlsqfsoSfVfelTosaWYroXM8+1SC5jBcoS/x1TuvarHABslrwOAHieAwBjyQqtrRHnakaD15DzGxF2ej29jvU6q9HcMbvfpXP1drYhznAF8cdfvBAjQ4p/fNVR7MpFBADeIACQwAFA5DQCgPT8dpbq1N6MsL3MSUmZT/x4hZ5hNpylaRkIOs5ceWoLFfOPx6un8xYDAFML1BWX0OvAY6oLagEg4CADgJbaK/DYwZ0ArI/DvXvCTjcyhf3MHIxKkhMReJwVNNcWCeeVy+S0hpweOOqRhn/2eiS4dtFTDwAcxwGA+1QAwCVWwHu7ogkZR1jjs4HeYcExjZE57D0ISEOdF7MSrZMKp0WV8fsNZJQjx4I5B92tEz6VlQGAs0EgACCAAwD3tcJN/NrSyxgAuMShMZLVilwJSBMcI3uCn8A9wbfewAFAmPDf2fHe+W77uRMEF+0AgM1m0uMiK7hewYlnvK5d6WKnKjVdaCi+Sa9vtio2V0vyJClSTiaklm18TwO+xjsQ3b7ex77m+eo175tOzQLA5DRjAeDWrVtYvXo1fvOb32Du3LkKH3PmzMHcuXOne5saSRMAOJN7BnoxejPi40zu1KS2VFdXIz4+Hm5ubvjwww+xatUq3Lgh/8voiSeewPvvK3rJNzQ0QEdHBxcuqHbe0XT8ePUN3JUDgMy8JBpkO4ZMrde+mOqaCuheTnmtQ1oFO52w89s2pWu/4kQAYIs9Cfhf4ABgt+R1ra0R63yMBquhFlsQ9vNGeh3jcUqjuaN3vUPn6u/qQPz6N6g95vCAsK+56H45AIh980kAQMIbHACsXCQycuoU+/M2+jq7b7YibP/3DABEgmeZQk+zgL8iIxtBJ9l1Tb6wPSNf3TeYu4n3Hgs0lDIf+sCj4j+P/jzXoasN9fDcyV2vj8eYSLpW6BkW8JempyLwpD1v78JpJTIxACBGBfZ6HhwAqHYuCt/mwQEAefIduIUAgNsazZrXCSn/InsS31XdgsyjDAD67yp2kwUg92S9Ligd9T4suK+LET7RKeX1G7ieWYHcCww87l4R9twP2SgDgAAAQMA6N5UAcC2FgWGFWwKaolmtSI2fMAC47OFSeLgcfpuNJADPDhF2pxrfPVeWQhTnrJ1Ak7/+eC/+8bpawwDgWk0XGkt4ANAiAAAeBACcTTkAGNfVmK/eLvkeBF3tDACu5LVr5bVOpWYBYHKasQCwatUqzJs3D7t27UJISAhSUlIEP/6VpQkA6MXo0eBtuj/0YvQm9fqHh4fR3t4u9zE2JuxEAQDvvPMOli5dKvck8pc8AVBHvf3yAJCVzwDAPvjIhObStmrqc+hezngbIaMqmV7b+G6Z0rVf5gBgKwcAy5wIAOziUoK0oViHwzRYDbu4DeHnNtPraFfNOh1H73iLzjV4twvxRm+iasFClCxaiMG+yflkS9/lAOAtAgDxbxEAiHp3GgHgDHvP7nZeR9jBHxkAjArniI9XiBlL+anMyUWwmTXvOlt0/O1rbQwA9l5AU0UVvQ44Il7L4befdR6+3tQMz10MCIYHFe0S5fZ+mqX8lGemI8iMpQRV5ao+cXZa48QBAPmd4aDnzgGAageqsK2yEwAOALZyAPCT9gEgz4IV43bXXkXWcW963dcl/N7UhTIb1rrgTDT6sfSe2ijhugi5fgM5Vci9xFKPuqubBMcEbyABv4uBPwAgcD25dlMCAFd59qQV7olojmWpStU+wl8rZ1N5Fx/+E3gh+Z8ic0ZcLgHAioiljtoJNPknEOO78Sq83urb7FSltgtNpZ30uqNZsbtyojv5uXHZQ9KhIqwIAPiZKQJAz21eF+KMNnTf6GcwlTMLAA+qZiwA/Pu//ztMTKa2MHG69Ws/AUhOTqYpPrKPpqYmpfdLJBLo6OigpoZZCf5SNQDqqrf/jhwAZBewINsuaGq99sVUWZdB93LWeyOya9LotbXPpild+yUOALZxOf8vcgCwkysK1oZiJAdpsBp+eScizNnT7CjnoxrNHb2dAcBQfw/iN75F7TH7eyd3RC59hwBAzNvjAOCdaQSAU5tYrUPXDYQdYlaq94eFU0TGS86HP68AIacZAFRkqn6KDgA3W1ro/T77LqC1mtk9+h9SAwD2MgBob22F125mQzrUpzpdK/gUK/qtzM1E8GlH3t6TVY51XOM8DgC4J9p6qrsXh20hJwBO+iT1JWgr1z9gCgAg15wBwJ26a8g+4cMAoFP4vakLZgBQH5aFxgBW4FsTIZzSVSzh9RvIq0G+JXMf6qoQ/psWvMFdDgCCOABwXesveH9rQiH7WnkmoZXnVlTlnSw4xomz8ZT5+NtuYTn4QvIzIwAQaUUAgG8jqg3J9psT3iDamKy1igcAdd1oKmMAcKNREQAS3AgAuO4lABBpTRq6+Z5U7JFw9xZz3qrKbMOdmzwAyBYu2p5JmgWAyWnGAsCf//xnWFtr5t090/VrrwHo6upCfHy83MfgoPAxNABcvHgROjo6cv0gjI2NBV18zMzM1HIB0nT8ePX0d48DgBQaZNsG7J/QXNpW+RUW8J/z3Yy82kx6beW9YUrXfpEDgO2c689LHADssHtFa2tE2eylwWqElTEiL7CC1kjHQ5rNve0NOtfo4CASNr1D7TH77rZNas64t58kAPAOBwBvEwCI5oBgOhRzcgOrdbjTifAjzEr13tCQWnMEHWcuPLVFxQg9y4LqsjTh1Ay+bjQ1MQDYfwHXahsYABwUBwDfPQwAOq5fg5cxA4C+HtXpWkEnmYNRdX4OQs4yAChPT1Q51nGNCwnk9WwBAA56pKmY8xrVABC6mQCAsz5JfQneJgMAL9HXOlHlnmcAcLexDTlmDAB6OhSDSACoDUyn9zREZKMpkAcAYYqOMgBQbMucgjoKriDfil3fLhUOtoOMCAC4ygDASAQAxgX8rYnyQCCk8Z187bYSAMgIFN6T70mSVhRpTWod+I3ENJWcC1FEo2hjspZKVhtzvf4OmivYdXvDHYX7E1yIS5LbPgLdKgGgkw8A1+Wuq7NmAeBB1YwFgJ07d+Ltt7XnET4T9WsHAGXq6FB0HRgZGcGzzz6LRx55BL297ElVTk6Ogo//0NAQ/v73v2PZsmVyc/T396O6uhqdnZ2TGq+OevrkASCnMJWl2QTsnfB82lRJNTuNOO+7FQX1ufTa0mv9lK69zJkAwA4H8jP9MgcA2+1e1toakVamDABs9iDqErO0jLDXrNFZ1JYVLBAeGUHCFlIUXLFwIXruKBbsqaO4twgARL9LAv7/n73zjI7qut6+sEnsOHlT7GQlZK1k/VeSFWMj3MHGjuNG3HHDjjtChd5BEt0geu+ol5GEeu+9F9SFekNIoN4LqJf9ftjn3n1n7tXMSKOJZDzPWvNhRvece2ZGoP07Z+/9RP/nyRkHgPDDVDjd19sJIQeplepon/L0GU6+FhRwV+UXQNApAoAbaqRtNlZV8dd77rsAjbcICLz2qu7m5LHzLH99W1MzuJvTeno725WO9TtEpxUVedkQeNpBsHbl7uL2BjIGABjw2610YgBgpXRcAA8AGOgGbEEAcFrhrvK9TlbXT5MhV+/tZsg85klA0CgNR0KH3VthmXA7gEy+ygKkazrk/QaqIEcAAO35lZJjfBkAcCk/fEqQsY/k9YopP4opQVKy347vJckdAcBG0IdfSh6HEADCLBEA3A4gAETYaA4Aij4EqozJFAN+RSBQVIwjAoDLXgSAMEsEAI9DYgAQ7viXXW8UnQjMdukAYGqatQCQlpYGzz33HLzzzjvg5+cHWVlZkJubK3r8mKUDAGl98skn8Oabb8LBgwfBzs4ODh8+DPPnzwc9PT2R8RYAwBdffAFz584FMzMzsLGxgZdffhnmzp0r6hLFpRwdOHBgSuPVUc+9Th4ASsuKIDMvhXbZvcxVT6BF5ZXE8ms557UV8qqz+ecX3Uy0eu/FDAC2MefffzEA2Gz98rTdI+TSdkr5sdkDEQIgCLbS7LMPW/+aXDFs7CZqC9rdWTOlOWPeZAE/K/qNfpudCLw1gwBgQa1TB/p6IeSQMZ18qEif4eR7gHLubxUVQ9AZyqvPj5PemRWqvpxSfjz3X4Dm2jp6vlsNADAjAOhqa5MDgO425elavgepg1FVQR4EnXESrF25j4C9AWtjacgBgCMDAOV1RAHrWbEwBwBbOQCQNsDSRNdP+vPv525dK2Qd96LPpq5Dcky5ZxJ/TU14FtwOouelfuJgEgAg94qg3WhBNeRaUkpQW16F5Bjf1fIAELBWxgDAV/J6xaLfhiQqCi6SxUqOsduGa0/yxDXYck68XtIA4G6BHZDCrQrlnkdYS7c/nYxG5QL+GhhXYUymmPKjmBKkqGgHbJPqsg9N0cKtsWuSu4W4m1VXi3zOv2JNwGyXDgCmplkLAHPmzOEfui5APy15eHjA0qVL4Y9//CPMnTsXfve738HSpUshKChI8vqBgQEwNTWFP/3pT/DQQw/BokWLIDJS/Md6IgBQd7w66rnbIQCAYsjKo7z7y57a7bWvStmCtp/nvbfBjdo8en7NSKv35tp+brd7GwAAXrXH55usVbs1q6vg81up6NduP0Ra7qauQFdNNZo7dN2rcu0w4zaTMVhnm3TwoEoxrOtP2LsMAN5hAPDmDALAAQr4hwb6IOTwKv75cK90ioiifH4Q9OEvLYXgs9RZJzdaOjAT6k4JGTx5HbgIbfWNBAC71AAAUwKA7q5O8NhJANDRrDyY8TlAAHCrpACCzsoEaw9TOtbewIUBAHb9sVvpoBYA+K9DAJAZYuAbyADA0WD6ASD9uB//fvoa2iDrpDf/vPO29OlImQft+NdGZcOdEDoRKPGRbo2ac4m6/rQX1UCeNRUFt2WXSY7xWc21/cS+/4HrWArVBAAg3/YzRb4tqKP0aY3tVgSAZC8EAA4Ikj2loUQx4FcEAk00OkwAkBNRo9KYTFj021zTIyoKVlSUPQKA634EgAgb/HzcDkoAgKDotyKzCe52CgAgRQcA96tmLQDIZDK1Hj9m6QDg/lP33XY5AMjOpzz7i57bZnRtGQVk/HXBxxSK7hQRALgaavXez/MA8C4AAPzbHu+70fqlabtH0NlN1Pff8SBEWe8lX4BLmn32oWtflTPEitv6Pj93e/PUeoJzff/D3kMAiHqXdQV6Q1yU/r9S+H5D2vEfHICQo2voRKBbeodYUd77KAf/dnk5hJynTjrZaoB1TREFct4HL0FHExkeeexUDQDuO87QLndvL3jsopqEtgblNT3eP1DL0prSIgg5TwCQHRWidKydAVfMywGAPQvkbZSO8+MAwAgBIGgbBwDSBliaKO2YLwFAcwfknBYAwK1WyTGlbvH0fcbkQn0Y1QQUe6VLjsm5SH3/O0trId+G2oK2ZEr/e/FepQgA7ETF2E/yennjrzRoTCNjsAJ7aQCw4Xb8vRHa7bazEwEPaQBQTPlRTAnSRFJdf64o8SUQtv1sqe2BeoW2oIqKtMP2udd+wM5bkbb43O2AuBOXsO1nZVYz3OuSbws626UDgKlp1gLAT0E6ALj/pAgAOTfSKej20K7Zliql5wdTzr+fGZTWl/LPz7oaaPXezzox4y979Fx4jQMAq8nXWUykQEHbzyjZYYi2PcA/97+4RaO5Q1e/AqWPz4ei+QgA8ds/5OdubZjabmDsaxwAoPFX1HvMGOz1mQOAsP2Cot+REQg9Tl4K/R3qtTv13ksAUFd1E0IvUiFtZniEyvG3BMZf3ocuQVcr5Tp7mJ9WOd59OwFAf18/eO4hAGi5U6N87fsJAO5UlkHoRRf+eVa49AkkJzsDbOfpYITGX/bMGdjBwFbpON+1OM7ZCAPf4O3ebJx0+0tNlHqUAKC/rRtyzvjQ6UiVdLvHElcq+r0Tlw/1Ean88yIP6a5OWecFfgPldyDfjrwDmq9L/73zXoUg5GqMJx9B61lNhbG/5PXVgvaklQFp0HydTo5u2Em7PluznP9UlvNvv4MVBbuXS16vWPSrWBSsiaT6/l/lfAECxW1J5Yy/bvdCQ6XAGKxMDOeKAX+UAhAI1dEgb/ylaAw226UDgKnpRwEAjY2NcOPGDUnn1R+zdABw/6m7t00OAHIFAHDefdOMri01x5/qEfx3QUVTBRUFu3yv1Xs/wwDAzP59AAB4nQHAeuvF03aPgFPUwSba9RjEOJAxmN95zXwOQla9wnf9AQCI3/ERP3dL3dRqkTgACP2AAcD7CADRr80gAOwVtP0cH4fQk9QW9F6bev3A5frw36qBsMsEABkhoSrHV+VQdxefw5fhbkc3/9zdVA0A2EYAMDg0CJ57qS1pU410v3d+7YJr66orIPSyK8FLSIDSsXYGbgoAYMsCeTul4wgAMPAN3oEAYG8g3f1GE6UcpoB/sKMHcs8SELRVSHd7KXaOpc8k4QY0RNLOe6F7quQYeb+BerjhQN4BzWnSwOzFAOAaA4BgBgD2EwDATX86ibgZdB1assoIAGykQdOaa/vJuv5wXYES3KQBQLHtp2JbUE0k5/wbhY0EOGOwdAljsuo8AoC2ul5oqOoiMCsVA4Biyg+fErRPfGrTXn+Xn6sqpwX6eoboO06o0/i9als6AJiaZjUABAYGwuOPP87n/cfFYWV/W1sbPPPMM+DvL/0fw49FOgC4/9QlBIDyYsgrIPOts27aNdtSpaRsH+r7778HbrZU889POX+n1Xs/zQDA3P4DAAB4kwHAOqtF03aPgBOUrx7rdgriHY8QAJxdp9HcISZL0PjrSQSABLOP+bmbaqXzoFUp7t8MAD5EAIj8QB8B4N8zBwChu7/j3xcAQNipjeQL0KzeTqDXbsrBb7pzG8KvOvLPrwcqT6MBAKjMyuav9z16Be51U3DivuOUyvFuWwkARkZHwWsfBfX1N6VTPfi176FrG2puQvgVcsq9HiSdi87JzsCdAcAlABACgL3ScT5rEABcGACEmHIAIN39RhOlHKKUn8GuXsg7TzUBraXSgV6RE+3e1ycVQGMM5d4XXJMGgMyz1G2ou7oBCpzoFKExWTp49jRhAGDCAGADBwDS4FXpS7UI1SGZ0JJDxeN5VtIAYLUBASDdnwEA8wWIvyZdl8AZf0U74N9oRWMwTTTYTwCQH8MAQIkx2c1cSoVrr78LjTcJjG+XiOs3FIt+ox1ZUfBe8alNWx39G7uZ1wL9dwkACuJ1AHC/atYCQHBwMDzwwAPwyiuvgIWFBcyZM4cHAACADz74AD766KMZXKHm0gHA/aeu3lY5AMgvpFabZ9y0a7alSgmZnuRJELAfatpvkzGY8zdavfdCBgA7HZYBAMBbdnjftdbTBwD+R6mDTZzHWUhwPsE/9zm9RqO5Q4wQAPIXMADY+Sk/d2O1dBCkSvGvMgBYthAAACI/RACIeXUGAWDnt3x7UwBgFNmpAAAgAElEQVSAsDNkptbTqF67U89dBACtDQ0QaUV59Gn+ytNoAADKMzIIAI5dhf671JLQbbsaALCFAGBsbEwuraeuolT52ndTulDTnRoIt3QTrF15QG63EnvqOxozADDE4meHFQ5Kx3kzAHA1wrafoVoEgGQBAAz19kH+RQrUW4qkv99CBwKAhtQiaI6j7js3XKV9HTJOU7ehntomKJQRADQk5kuO4QDAzQQ/h5CN+HtjZxwoeX2lN3Ujqg7NhLb8SgIAy3DJMZbr5XfYFZ2BFeWyF9OMYhyxbsH7OMJp8CXp9zAZDfYN0+cYi7UpyozJqnIEANBwF5qqCQBqi8UAoNj2M4bzBdgjBoDWO730Wea3wsA9wdriJueFMxPSAcDUNGsB4IUXXoDXX38dAADa29tFAHDkyBH4y1/+MlPLmxbpAOD+U1ePEABK4EZhFplvuWrXbEuVYq+782uxCToAdzob+OcnZF9p7b7j4+P8fXY5ILQvtVsI+jJ9WGP1wrTdx+8IFbDGe1+ERNdTBAAnV2k0d4jhi1D6+HzI08fAOHHXcn7u+krVve2lFP8vBICQjxgALFuIpxf/mkEAMP9aLtUp7NwW/n121YtbE0rJ05wAoKO5BSKtCQBSfZWn0QAAlKZSbrffcUsYGqBgxG2bagC4tvk0fz0AgPcBAoDaUuX92z0FBcOtjXUQYeMhWLvyolzblZ4MAC4CAIC9oTU7AXBUOs57tQIAmGOajt1K5ScOU1HSQQKA4b4BuHGZAKC5oFZyTKE9FfA2phVDcyL138+TSbdKFrYb7b3TAkUu1EmoIV46Zc7DGAHAnQFA6Cb8vbE1lobGCk+a81ZENrQX3OSf516RTjVTzLF32on1DHEu0mDovBt/F2OdEAB8TiAABF3UHACkgmxlxmSV2c3076rxHjTf6uGf1xSK63MUjb8UjcGEar1NAHDrRqsknMxm6QBgapq1APDwww+DpSX2U5YCADs7O3jooYdmannTIh0A3H/q7GmRB4Ai6rV/0lW7ZluqFJ3uwq/FLtgCGnta+OfHnf6rtfuOjo7w99nj8AkAAPyHAcBqq+en7T6+hwz4YDXR7wokuZ/jn3sfN9Zo7pCVCAC5CxkA7Pmcn/t2acyU5kx4hQHAxwwAPkIAiHtlBgHA9CsofXw+FLBUp/AL5KbceUfaLVVRHma0A9/Z3g7RtlRIm+wl3dFFqJJkyu32P2kl1y5RLQDYxO6/Gr8XH0Fv/1tFylM3PASeAe2tDRBlS0ZZyd7KjblsV7LuPSYcAFixnXwnpeO8GABcM0Ln37CdCAC2K1V/VpNV4gHq+z86MAQFVylXvylfGvAK7KiFZ1NGKbQkUY1GnqM0/F4/QalFd+vboPhaIv+8PjZbcoy78TUGAOxz2OSsFADK3ak7UU1ULnQUVfPPcy5JA4Bilx3ZLgSAWGdpAFD8ue9JBIDA83mS109GUmk2yozJKrKa6N9V0z1oqRUAQIEEAFzBYnqvo2jWFutcClfWxIFsl/jEUnEuqfSk2SwdAExNsxYAHn30Ud6dVQoAdu/eDX/+859nannTIh0A3H/qEABAWXkJFBTl0C67i3bNtlQpMtWJX4t9yBFo7m3nnx91/Fxr9x0aGiAAcPwUAADeZgCwyuq5abuP70HKX08JtIIUr4sEAMc0a3MaYrAYSh+fDzlPYWCctO9Lfu7a4ql5RiS+zEzKPnkKAAAiP34KAeDl+RqtVROF7vgv1jqwVKeIS+Sm3FGrPH+ek4cpAUBvVzdE21MhbZKn6l3twgQKFgNOW8sZJl3bohoAXHkAwFaQvhbk7nvzhvLATWga1tneAtH2tGOe7OmmdKztSm8GABcAQAAAK5S3q/ZchWlGbsY4fzgPANNf45bwAwHN2PAIFFpSu87GHOkC6XwbMvFqziqDttRc2ml3SJAck36ciovvNXVAsRul69RFS7sHcwDgsYoBwGYEABvjYMnry65RWlFtTB50lJBjdPZFca2JVJ99xR1+RSmeEPidypk2AJAqtFVmTFaRSQDQ1dwn2rVXVMhlBADvY/h5x7kgADjtFAOA4mmCXIFytA4A7lfNWgBYvnw56Ovrw8jIiAgAmpqa4Pe//z2sXLlyhlepmXQAcP+po6dZDgAKi8ls67izZrvQmio8xZ5fi2PocWi718U/P+K4XGv37R+4x99nr+NnAADwju1ToC/TB5NpBACfH77lg9W0EHtI87nKP/c6skKjuYO/XwSlj8+H7KcxME7+4St+7lsFqjvbSClpCQOATxkAfIIAEL9k5gAgZNsXcrUOEZfN+PfZVq2e34GwD/+93l6IcaI8+kQ31a0tb8RRYBd41hrGBA6pagHARrz/1VXYCtL3MAFAZZ707jO/dlMCgN7uDohx9BGs3UXpWNuVeK3jKg4ALNkJwOQAIGI3Bs82hgEwPj6u8v1ORvH7BAAwNgZF1mTY1ZAlfcKTbxXOX9OSUwHt6fm0024n7eycJmg32tfaBaUeVLB7J1LaPdjNGD8HTwYA4Vs4AJAuHC91pe5Ed+Lyoausln+edUEMDVJOu4o5/opSrBHwO40AEHBuap2/hJJqtanMmKw8QwAALX2ivH1FBV/KlwOAeFfskuRoniK6VrGeQKpF6WyWDgCmplkLAOXl5fDb3/4WnnnmGTh69Cg88MADYG5uDnv37oXf//738Nhjj0FNTc1ML1Mj6QDg/lNHd5McABSV5PPB7zHZzAJrSJItvxansBPQ2d9NAODwqdbue/ce3We/E540vGuHAGBs9ey03cdnPwXl6WFOkO5vzT/3PKRZl6OQ716A0sfnQ9YzGBinHPiGn/tmnnSRoiolv8QBwNMAABD5KQJAwkszCABbl8vVOkRe2UntTqvU8ztw3045+H39/RDnTHn08a6qza3yoyiwCzpnK7dze22zGgCwgQMAPJnxO2LJjy/LFvdAl1v7DgKAe/e6IdbZT7B2Z6VjbQwx6HVadR4AAOyNOABQPs6DAYC78TUAAIjYwwFAIIyPjqp8v5NR/F72XbD0qGJbAoD6DOkTnjzLMP6a1rwq6MgooJ122zjJMalHCJwG2ruh1JPSum6HS38HigAQsRUBwNpEGrBLnKk4+U5CAXRX3qEd/nPitKExwUlSdhgDAIUuP4pS7BLkfwZPP/zPTAMASJhtKTMmK7tOjtjdrf2izj2KCrqIAOBzAqE34RoCgIOZGAAUOwpJmZTNZukAYGqatQAAgF/qW2+9BQ888ADMmTOHf7zxxhtQWqq8m8OPQToAuP/UrgAAxaU3KM1GZjCjawtKsOLX4hxxGnoH7/LPD7HcfG2ou7eNAECGtQbv2XIA8My03cd7L6XlZES6wvVAewKAg5p1OQr+9nkofXw+ZD7LAMCC0o2qcqZWrJn8IgOA5QwAPnsa6xdmEgA2fyZX6xBluZt/n80V6rU+dNtGADA4OATxrrTrHOfsoXJ8XgQVnQZfQBMt7rnrJtUA4LIeAcDSBFtB+h+z4seXZkgbV/Fr336ev7Z/4C7EuQQI1q58J9/GEGHBaTUCgIPRVQYAyk8O3E0YAJggAETuRQCwNgqC8eFhle93MorbgwBwlaVHldhTcF+XJt0JJ/dKKH9NW0E1dGSTU3OW9QQAcFjYbvQulHmTeVhtmLR78DUj/By8VrPPYRsHAGGS1xcL2pPWJRVB980GAoCzYgAYHREAQHgNAIj7/CuK9wlgABBwDgHA73SO5PWT0d3OAX49JSkNAABgv31iY7LSNAKAnrZ+Ue9+RQVdyIMra+LA9yQCQKJbOQKAqbhzk6KngLDuJieiRuP3qm3pAGBqmtUAwKmzsxOysrIgIyMDWlul7cp/jNIBwP2n9u5GAQCUQklZAR/8HnbSrtmWKgXGX+HX4hp5Du4NUWqOhb32Wup2djfz9zkg+xIAAN63fRr0ZfpgOJ0AsPsLPljNivGArBAn/rnHQc26HAV/gwCQ8RwGxqmHqeC4IlN1UCulFA4APsfPIGI5AkDSizMIAJs+ZbUOWIgcZb2H2p2WqbfrKezDPzoyColuVHga46Q8jx4AICeccs5DLmEP/Sur0UjKdaMaALCOAwBsBRlw3Jp2WlPFu59ya992nt8hHxoehAQ3KpKNdVTezcfGEDvfOK05BwAADkZXGAC4Kh3nboL+AR4MAKL2+TEACIGxoSGV73cyit3NAGAVAkCpA6X33EmR3lTLuUSnBO1FNdCVW0yBtpV0AXyyhQAAevqg3Jc6O9UES0OYq5G7PABsRwCwMpFu6VnsSMXJ9SnF0FtDAXLGGfGp3Mgw7WpzQa2i06+iFAPygHMYVPud0hwAejsEAJCKAMABR6KEMVlJKgFOb8eAyL1XUYHn5dea5I4AYL9dAgAUXIVH5U5LajR+r9qWDgCmplkLABYWFlBUNHHLtuLiYrCwsPgfrmj6pQOAH5dGRkZg3759MG/ePHjsscdg27Ztohzdti55ACgtKyQAcPx2hlaO8o+9xK/FLeoCDIxQce5B+2Vau29rRz3dx/lrAAD4gAHASqunp+0+Xrs+44PV3AQfyI5w5Z+77/9So7mDv34OSh+fD9cZAKQdpZajZenKA7yJlLqYAcAXmAYV+fkzUPr4fEhePHMAELzhY1brgAAQbbuPf58NJcrz5zm5baETgPGxcUjypHzwaHvVn1VWMO1Kh17GHvpXVuNur8sGNQBgLQcAmDoSeIIAoCBFecvWa1vP8zvkw6PDkOhORbKxDsoNvayNAuQBwJgDgGtKx7kxAPA0wc8maj8CgJVxKIwNDKh8v5NRzC68lyVLjypzIti6nST9dyjnIn0GnaW10H2jlALtq9GSY5IP0qnP8N1+qPAn87BbQdK+GRwAeK9hILTdRe4kR1FF9rT2hvRSuHuH2mRePyVuNzsskdbidgDXFWEjHWtwOflJLCefC6q5XXVN1NNG/halaejCzKUcJUgYk5WkEADc7RyAziYBAGSJAUDxtCLJE43S7LaJW7fWlxMA1Jd3ytXdcPUSs1k6AJiaZi0AzJkzB9zcJt4t8vT0hAceeOB/uKLplw4A1NORI0dAT08PFixYIPpZQkIC6OnpST6uX1ee78tpcHAQzM3NYd68efDwww/D4sWLITpa/Idt8+bN8Omnn0JnZyd0dnbCwoULwctLvqixratBHgDKiyjNxlG7Zluq5Btznl+LR/RlGBodop15+w+1dt+mNjIcO8QMxz60fQb0ZfpgYP3UtN3Hy5zMufKSAiEvyoMAYN8XGs0d/OWzWFvwPAbn6ceN+blLU5Wnhkyk1EUMAP7LAOALvEfKohk8AVj/EZ6gPIsAEGN/gPwOiqSLNxUl7MM/Pj4OyV6URx9tqzwdBgAgM5B2nMOu4q771VWYFuSyXjUAODMAsGLFo4GnbAgAEqSLVvm1b2EAsCoKxsbHIMkrRLB2W6VjrY3wtMBpLQcA6D9gZ6D81OOaMe7Ke65CAIj5wZ8AoK9P5fudjHgAYEF1uTPtotfGSwfBWeeDCADK70BPYRkF2pelASDpANV9jPQPQWUQmbtV+0ubh7kY4RgfBgDROxgArJIGgEJbOr1ozCiHew2t/PP0E+IOSnKdbaKws427Ba4rwlq6vsV2KyvK9UIAUMyr10TdrQQAZdcRAJQZkxUn1wsAYBC6mvv45xWZTaLrFesVkhkA2G4VA0BdWQfBVGWnfMekEB0A3K/60QKApaUlPPzww//DFU2/dACgWnV1dfDII4/AL3/5S6UAsHnzZnB1dZV7tLWJeyNL6auvvoK5c+eCqakp2NjYwJIlS2Du3LmQkkLpAnV1dfDb3/4Wuru7+dfMzc3B3Nxcbi4hAJRXlEJZeTHtfjt+PcVPYXrkHXWWX4tX7FUYHhvmn/9g977W7lvXUk0A4ILFuMsYAKywmkYAMP2YD1bzU0PgRowPAcAezboccQCQ9gIG59dPrubnLklSvjM8kdJeYADwJXZCivgSTxlSX5hBAFi7DGsdnmMA4HCQf593CpTnz3O6tokBACs0TfWlPPpIa9WwdN2f0m7CrfD6q6swUHVZpwYArOEAADvBBJ2x4+fLj49VOtZ1MwcAkTA+Pg4pPnQaEWljrXSstRHulDutOwsAAA4mHAAo9w/gAMCLA4ADDABMwmH07j2V73cyijJ34+cGACh3pTz6W7HSQXDWOfo+uirroLe4nADgUpTkmMT9AgAYGYXKYHIPvukrbR7GA8BaBgBmHABIt9ktsKHvpimrAvqa2vnnacfFHgpDEr3tPQ5lsN8z6fduw7Xl9Ma2nHxnneOaA0BXCwXw5QwAlBmTFSURANzrHpQfnyEGAMWORSle6JRsu0V8CnanVAgAXQBAdTcZwbM/BtEBwNQ0qwAgKSkJLCwswMLCAubMmQPLly/nnwsf27Ztgz//+c+waNGimV6yRtIBgGp9+eWX8Oabb8Jrr72mFAB8fHymNH9mZibo6enxnhMAAAMDA/D3v/8dlixZwr/m5uYG77zzjtxYExMTOHv2rNxrrQoAUF5RQrvsDpqloWgqj8jT/Fq846xhdGyUinPt3tPafesaqygNygXbcX5k+yzoy/The+uF03Yfrx3L+GC1KDMSChP8CQB2adblKPgLTM9JZbvzGafX8nMXJ9hMac7053F80FcIAJFfIQCkPT+DALDmA6x1eP5JAACIdTpMfgd50ju3inLdyAEA7g6nBdAOcqSVagBI8yFgiLDBEwNLkwj1AWD1WTkACD5LAJAbIx2w8mvfdF5uhzzNj9JMIqyslI61MsbTAtl6DgAuMQBQXiPiygDAmwFA7MEAfg2jPT0q3+9kFGXGAQAW1la4CQAgWrrIO/MMAUD3zXq4W1pJgfYF6eA8YR8BwNjoGNwMzSYA8JFOw3I2xLQhXwYAMWau/GmMlAqsqDi5OacK+lsojSX1mBgApNxtPQ4hmIRZFkjew5oZc6UyYy7F3vqaSLiDzwXwyozJihLr+Ov7eoYkTxCEUvQsSPHB781mswQAlBAANFYxAFAwTZvN0gHA1DSrAODgwYN8px/Fzj+KjwULFkBGRsZML1kj6QBAuZKSkuDBBx+EwsJCtQCgt7cXRkZGJnUPMzMzePDBB6FH4Q/tsWPHQE9PD+7cwT8Uly5dgi+/pAB+eHgY/vKXv0BamvyuaGtXvQAAyqC8opR22R00S0PRVO4RJ/i1+MXbwfj4OPXnt31H9QRTVG1DGXVCcjUAAICPGQB8N40A4LntA9qVz4mF4pRg/rnbTs26HAWz/PxUlp+fcXY9P3dhrOWU5rz+HAOAr9ENOfJrLDROf24GAWDV+1jr8AICQJzzUf591uQoz5/npNiH/3oQpdGEX1VeSAsAkCpIGYq05QAA0z1c1qoPANZGWAgact6eny87SjqdhNZ+jgXfuEOeHkgBcvgV5d+zlXGoPACsuogAsFJ561MXDgBW43uNOxTA73yPdnWpfL+TUaQpAoC1MdZHVHlQy9WbEdLmVhmnCch6a5rgXvlNAoDzEwDAXnf+mvGxcagOJ/fgSi/pNCwZAwC/dQgAseYMAFZLpxnlX6Xfq5b8ahhop1aWKUfEnbkG7gkAIA7/X/c8ggAQenUCANiYgO/TFz0SFN11NZEwh78iCwFAmTFZYQIBQH/vkGQNgVCca3HQBfxeU32r8LvflCC69nYxnZ40VeMp99V16LR8PVDaIG42SQcAU9OsAoD+/n5ob2+HtrY2mDNnDtjY2EB7e7vco6OjAwamuTBqpqQDgIk1OjoKTz31FKxZswYAQCUA/OpXvwI9PT148MEH4fXXX4fsbPWOaJcuXQpPPPGE6PXY2FjQ09OD4GDcRUxLS4N58+ZBfX09dHV1gaGhISxbJi6cbe2skweASgp+99trz2xLHbmGH+XXEpCExZW8Q6/t21q7b/UdSoM6dg0deT+xfQ70Zfrw7XQCwNb3qTA3LwlK0yIIAMw163IUzDr0pLAOPZnnN/Fz34i6NKU5M55lAPDtCwAAEPkNeg1cf3YGAcDkPYQQDgBcj5HhWbZ0y0dFuWw4zQAAg8PMEErVCLusOl0q2YN6yEc5YDBoaYLBtfOa0ypGAziv4gAAC0FDLzjw82WFS7eU5OS6gTsBwOsygmMFa7+idKylMb5P2QZ5ALBdqdz8zMUIA18fBgDxh4N4gBrp7FT5fiejiB3XGABgfUSVVxz//qrCpLs8XT/lTwBwpwX6q27RTvs5aaCK3yMAgPFxqI7MIwDwkP49khl6MQDAk5C4XcxBerV0p6G8y1Sc3FpwC4a6yBgr5bD4RLj/LjnvFsSj867X0SwEgCvSpx9WGxAA0v0ZAFxFDwTPI+rVwyhTR6O4i4/znomNyQriyedg4O6wZBchoXxOMAC4mA8AAGl+CABWGxNE19YWCQDgFgKA5XoEgPQAHQDcr5pVACBUbW0t9E1zAdRskw4AJtaVK1fgN7/5Dd/2dSIASEtLg+XLl4ODgwMEBQXB8ePH4bHHHoOHH34Y8vJU27UvWLAA3nzzTdHrJSUloKenB9bWlPdrYWEBf/jDH+DRRx+FNWvWwL174vzcFgUAqKgs54PfffafTeYjmHa5hB7m1xKcjKkYC50WgL5MH3bb/kdr9624TWZox93QDflTm+dBX6YP31jrT9t9PLe8R605i9KgIjOGf37NVLMi52DWoz+Z9ejPuriFACDi/JTmzHyG1QBwAPAtAkDGMzPYBcj4XUxDWoT/1uLdTvLvszpDOhBTlGIf/qxwKjQNvagGAAjahkaztqFceo06ACAzOccAAAtBwy458fNlhEi7ytLaEQCs2A55Zmi8YO0qAICdUjgzAHBcdYEBgLfScc4MAHzXIAAkHAnid75H2ttVvt/JKHw7ngDYsPSoap8ECkJDpDdN0k8QANyta4WBW+S4m3JGukVn3G43ueD9VjS5B1e4SddhODEA8F+PABC/+5ocRCgq7xKllrUV18JwLwXUyYfEANDXQwBQmIAA4H0MASDksjQAKAbBYZYIAB6HNAeA9gZxH3/OmTjaURwT3IgVAMC9YUkfAaG8jyMABDMASPfHkxvL9eITmJrCNn6u5ho8DVeEn9ksHQBMTbMWAH4K0gQAmo4ehdrvvp8Vj6ajR6f1c2lvb4dHH30Uzpw5w782EQBIqaqqCn7xi1+Icval9Le//Q3ee0+c/15dXQ16enpw/vzkgjsRAFRVUJqNnfbMttSRLOQgv5aQVPwj+xQDgF02S7V237JbOfx9T7qvAgCAz2wRAL6eTgDY9A6585ZmQVVOAgHAjg80mjuYufQmLcHgPPvyduo4FHZGxWhpZT3NAOB7rGWK/H4xFuA+PYMnAIZvY6rTi/hvLcHjNBmeXZdO91CUYh/+nEgy9go5r7yTDgBAoivlj8cw4zArY9ztdV49eQAIvyLj50sPEhtEya2dBwAEhezwRMHalZ/0cHUKzhsZAKzmAEB5fZKzkZccACQeC+aD55Fp9r0J34ZBtY0Rfg63/On9VQRJB7Vpxyklq6+xHQZuUyCafFr6RCVu1zU5AKiJvcGPKXeVTulxMkTvgAAGAAl73AgAxsQAkHOBahPaS+/AcB+lxCQdFEPXvW5y3i1KQuddPki+lC+5JsU0mHCrQgYAmqcfC428buYiALjum9iYLD/mNn/9YP+IpJOwUNzpBgc31wMYAKwTA8CtAgKAlloEAMX0p9ksHQBMTbMWAMbHx8Ha2hoWLVoEjz32GDzwwAOix4MPPjjTy9RImgBA7XffUxvCGX7Ufjc1g6uhoSFoamqSe4yOjsLatWvhH//4BwwJTHAmAwAA2Nnn5z//OYyOjiq9bjInAOqopeMODwAVFeVQWVUpAICPJzXXdMsxeD+/lvA0DKye4QFA/BlMl0puZgoAYDUAACy3eQH0ZfrwpbX636kqeW58m34nK/PhVl4qAcB2zYqcQz5BAEhkAJBzdQc/d07wiSnNmc0BwIrFAAAQuQIBIOupGTwBWPkfTHV6CcEswess/z4rU5Wnz3CiPvx4fV40pdEEn1VdMJ0go8AvzhXTZ3gAWKUatpyMEQBsDDEPPMLSmZ8vLUDcH15u7evOM3jAADk3KkWw9otKx3Kdipw3MwBYc0FuHRNJxgDAby0DgOOU2z7UJO7vronCGADYsvqImoBkCswDJgCAY+Tj0NfSCUN1lIuedDJUckzMTrwPZzhWG1/AjylzlgYARw4ANmDaV8Je+j0YGx0TXZ9znmoT2svrYGSAAuLEAxIAIBEwK6bJKEqxEDbCGgHA3UJzAGiro5Sl6jwEPc6YLErCmCwvmgBgqH9EEmiEUqxvyAiqxu9krTgFqzqfWqi23u4FAHEB9GyWDgCmplkLAKampvDAAw/Ac889B1u2bIGDBw9KPn7M+qmfAEj18K+srIQHHngALl26BDU1NfzjxRdfhH/+859QU1MDHR0dKuc2MzMDPT09UXGvotStAVBXigBQdZM64Oy21Z7brjpyCNrHryXyOv6BfNYRAcDc5g2t3bewMp2/72mPdQAA8LkWAMBj/VI+WK27VQS1RZkEAFvf1WjukI8XQunj8yHhZfxdybUyJwAIPDalOXOeYgBg8CIAAEQZvIjzzSQArHgLAWAJAkCSzwVKq0pW79+CYh/+/DhKowk6rRqo4xwp9SPODXfPrYww3UNmovoEwMn4PAu8cWyklSs/X6q/uD+83Np5AMAAOT82lQDg9AWlYzmvAuctHABw61B+TycjDHz91yEAJJ0QAECDuLhTE4Vu5QAAQag2mACnzE/aNyX1CNVk9Lf1wHADGVIlnZgAAMw5AMBC8NsJhfyYUpn0SZKjId4ncCOeACTuIwAYHREDQPY5Sk3qrGyAsSFK8Un4QVx3IZUy43tSvlOOUHK98FkrzAibIriyJg7cDqjnMaNMrbcFAJCPAMAZk0XaSgBAlAAABkYkU5qE8jgs3+EoI7iav15R1XkEAG11CAA2m+VboM5m6ZKlK6sAACAASURBVABgapq1APCHP/wBvvhiZrumaFs/9RqAzs5OiImJkXtERERMaOzFPbZs2aJy7uXLl8PDDz8MY2PiPxxCmZqaSnYBOnr0qFwXIHXV3HGbAKBSHgB22WrPbEsd2QXs5tcSnYG7ks8zADCzeV1r9y0oT+Hve8ZzPQAAfGGzCPRl+vDf6QSAdW/xwWrD7QqoL83jn7tu0azIOeQjBgCvIADk2ezm587yPzylOXMXMgAwfAkAAKJWvgSlj8+H3IXzJXOe/xcK+f5NrHV4GYuzk30vUWF1YqBacyj24b+RmMQHF4GnlLfSBACIdaCAPcET2zlyLrsyE3VOALjAGyE3yoaAIsVH+W6889oLDAAwQC6IJwfboJMTpwOOj4/DVc6tmAOAtdw6lJ86OBlh4BvAACD5FLW3HKwT7+xqopAt+FnYsfSo26FpFJj7SPs8pBwmABjs7IXhpia4sjoGv5/j0jUV0ayFJ9fD/05yMd3HSRoAHAzxpCGIAUDSfiokHhkWn+RmnaHUpK7qJhgfJaff+P1iAJAqmqVe+RIAIOGGG2mHAHDtB80BoKW2h5//VgF61rgdZMZkNmJfgtxIqr0YHhqVLGoWStHjIDOEircV/3+5mdtCpyn1dwEAwJZ5IHAmaLNZOgCYmmYtAPzqV78CG5up9df+seinDgBSamtrg4CAANFjwYIF8Ne//hUCAgKgsJD+c2yVyJG9ceMG/OxnP4OPPpLfce/r64OysjI5g7CMjAyRD8Dg4CD84x//gBdffHHS61cGADttNMtD11Q2/jv5tcRmYzD3AgMAU+vXtHbf3NJE/r5nPTcCAMB/bRaDvkwfvrB5ctru47n2DT5YbW68BQ2VhXQCsFmzIufQZfpQ+vh8iP8XAkC+3T5+7gzfqZ1E5ukzADBCv4kowyVYU6A/H0bGJtfOdroU8i1+hkmvIACk+F+mdL8E5TvZnJzXsD78LI2mKIV2mQNOqm6ZGm1LKTuJXnhPayPc7ZUZqwEARlzqDQaB0Xa0k5zkqbwjjzNL27Fmu/aFSVkELyfOTThufHSUD4pdtiIAOCmcJkwkRwYAgesRAFJOU9ekgVpxYKeJOACwZwBwJzydgmIvaQBIPuRNO88992C4uQWurkLYSTgmDQBRpgwAWCF4XWopP0exg3ThsL0hBvRBmxAAkn8gABgaFP97yDxFANBd04w79uw7iNsn/p6l2mZybrkBZ8UdkMZGx/jrs8MQAKLsEWRc96dLvofJqLmGAKCmEP8mcc7E4RLOxDkRNXJAJNXWVCgeJthcWaEEAIopVVU5AgBoQACw28ZckD11AHC/atYCwMcffwwmJiYzvQytSgcA6muiGoA33ngD3n//fThy5AjY2trC1q1b4ZFHHoHf/OY3UFoqb6bCpRwdOHBA7vUvvvgC5s6dC2ZmZmBjYwMvv/wyzJ07F5KSpB0rlam5o1YOAG7evCkAAO2Zbakjaz9Tfi0JufiHexEDgB3W/9bafbOL4/j7nvfaDAAAX9oiACyfTgBY8zofrLa11kPLrVICgI2aFTmHfogAEPcqAkCBwwECAO8fpjRn/gIGAMYMAIxfhtLH50P+gvkwPDqs0XqnqpBv8DNM/Bc6NKcEXuXfZ0msemZ7zqu5IlwMfEvSKMgMOH5V5fhoa+rak+yLu+fWRn4MAM6qGA3gZMS138Q6l1gHKipO8FDek1/G5+3jyUNxCvWvDzg6MXwI009ctnEAwH0OyguPHYx85QHgDAFA/61ale93Mgre7MoAAN9fXSSdcBR7pEiOSTpIADB8rx9GWlv5eof4o9JpYVE78D6c43B9ehndx24CAGDfcfBmBgAH6Xsbujckuj7zJNUm9NzBjSAOTOL2ir9nKeOsgLMIAP5nxAAwOiIAgPAafF8MAFz2aQ4ATbfIt6C2CLs9KTMmyw4nABgdGZM0NhOKSyeKsCmSHC9UZXYz/7OORuxuZ7cdASDJQwcA96tmLQA0NDSAvr4+HD16FNqnuRXabJEOANTXRABw8eJFWLx4MTz66KMwd+5cmDdvHnz33XdQVSXuXDARAAwMDICpqSn86U9/goceeggWLVoEkZHqdTxRVJMcAFTIAYC5jWZ56JrK0ncHv5bkfPwj/KIDAsB261e1dt/Moij+vhe9twIAwFc2L4K+TB8+m0YA8Fj1Gh+sdnW2QvudKkoB2qBZkXPoBwwA/s0AQGbBz53usXdKc954kgHAqlcAACDa5BVsK/rkfBgcHdRovVNVyNf4GSa+igCQGmzNv8/iGOW755xkq7jAF4P3sowMPrjwP6q8lSYAQJSlA399ij8GmDYsPcRJDQBwNOQAwB0AAGKdPPn54q+5K1/76osMADBVqOQ6ta/0PzJx/cGooADVdTsDgPXc56C8dsKBBb5BGxEA0s6F83P1Vd1S+X4no6BNeALgwN5ffXQmBeZu0k7PSQeoLetI/wCMtLfzHY/iDkvDTeR2FwYAWAjekFHBz1FkK103YMdOeUK2IACkWhAADPb0i66/fpxSk3rrsS6MA5PYPWL35a4WgfMuBwDn0J/A73SO6PqRYUopyomoAQCAaEcGAHulT0smo6ZqAQAUMwA4PLExWXaY/A7+UP8I/zw/5rboesWCYsUTBKEqspr4n3U2IQDY78AC8UT3co3fq7alA4CpadYCwK9+9St45JFH+I4/jzzyCPy///f/5B6//vWvZ3qZGkkHAPefmtoJACorK6C6uprvtW9qoz23XXV0xWcrH4inFmBx3ksMALZZ/0tr971eEM7f95LPdgAA+Nr2JdCX6cOn03kCYPIqH6z29nZBd2MtAcB6zYqcw95fAKWPz4fY1xAAilyO8HOnue2a0pyFT+D4kNX42Uev+heUPj4fCp+YD/0j4oDnf6HQL/+NtQ6vPQ0AAOmhdvz7LIoSB1VS4gCA20WvyMnmgwu/I6oBIPIqAUBaEAaLNqxAVGY0cRoOJyfDSwwA0EMg3pl2sONcrqlYOwcAeNpRnkXFq/6HJgaA4bsUXLruwDU6bcDPgSuGnkj8zjcHAOcj+Lnulk+vCVPgRg4A8P01xNJ3U+gqfeKZKACA0aFhGOns5D0PYg9JA0DENkzjsjbB768xq4ruYy39edixOo/QLfgdpR4icOvvEnsCXT9G3+vdJnRM5sAkZrcEADQLACADnXcDzyMA+J4UA8DwEAFAbiSexMQ4lcCVNXHgvEdzAGis6uLnv12CAKDMmVguhWdsHIYGCADyosQAoNhSVLGGQKjyDAKArmb8rB1MEQAS3HQAcL9q1gKAgYEBrFy5UuXjxywdANx/amqvEQHA005cmo323HbV0SXvzXwgnl6EnSCWMADYav2K1u6bmh/C3/eyrykAAHxjuwT0ZfrwiY24A9NU5WlMANDXdw96W+oJANZpVuQc9h4CQMzrCCzF147zc6e6mk1pzqL5DADW4OlLzBoMvovmz4e+4ZkxQQz9L36G8a8/AwAA6eEO/PssDFcePHOSmXDFr7jLXJVHLrC+hy6rHB9xyY6/Pj0Ed5BtWItIJyPVvhyOhpfhypo4sFuJ6010pVSRWJmL8rVzAMDMuypzqHjVz+LUhOMGuymf+5oZOwHYwGohjKV3vDnZs53vYJb7nn6RjNN6S6e3B3vABgQAR1Yg3ZRAKU4FLomSYxL2UyA+NjoKo11dYMVcj2MOTgAAWxkAMPhpzLlJ97GUPhGxNcK+/qFb8XtLO0Lg0dfeK7o+/SgBQF8rc69lYBK9UwwAnU1kFFaRhQAQdBFPeHxOiE3QpALsWBkCgGx3quR7mIwaBABwpxRPMPje/RLOxJmCLj7j4+OSgCKUoqmYYhchocqvN/I/627F/3sczbB2J/5amcbvVdvSAcDUNGsBQFsaHBwEc3NzmDdvHjz88MOwePFiiI6W7kusTEuXLgU9PT3YsGHDlNeiA4D7T8oAYLu19tx21dFFr418IJ5ZjH/sX2YAsMX6Za3dNyU3iL/vFT9zAAD41vZl0Jfpw8e20wcAHoav8MHq0NAQ9He2UQ3A2tc0mjv8XQYAbyAAlHic4udOcd4xpTmLOQBYywBgLabfFD8+H+4O3dVovVNV6Od4ChH3BgJARqQT/z5vhDqrNYfMhMujx13mmzcojcb3oHIzLQCA8Au2/PUZ4ZiKZ8NcYp0M1QCAlRwAsG4y7lQsGuOk/D3ITLjTA0x3uplPueu+B05OOK6vo1MAAHgCINuIAMAZok0kbuc7ZDPCyfXLZJzWWzy9+dcB613Z58gAIIngrEAmNogCAIjf5ykXeI52d4OVMXYqij4gXeAcvgUBwIYBQHM+7V7fuCoNDRwAhG1DAEg/SgBwr6VbdH3qYfp5fwf+e7EyCWMAIE716mggAKjMRn+FYAYA3sclAEAixSbOGYuZZbumAQAq6XemrgwBgHMmDr4kBgDFNp5SKUpCOe9OY7/zJQAgbyQ21C8PAGXpBAA9bXj66GTOAMClVDT3bJMOAKamWQUAubm5k35MVl999RXMnTsXTE1NwcbGBpYsWQJz586FlBTpAigp+fn5wS9/+UsdAOgkUqMQAKoqobq6Gp7lAMBKe2676ui853o+EM8uxXzfVzgAsFqitfsmZvvx97X03w0AAN/ZvgL6Mn1YNo0A4LnyFT6AHhsdg6GebjoBWKNZjUP4O09C6ePzIfpNBIBSr3P83MlOWyc/4fg4Pz5k3WsAABC7noqYuwfFAc//QmHL8TOMe+tZAADIiHYmAAhxUmsOmTEHABhk3ioq4oMLnwPKzbQAAMLO2/DXZ0aik+zkAOAKAwDWVtODDKOi7GVKxzrxAIBFpDWFlLri+8PEAHC3hZxU3XYyANjEAUCE0nvacTvfLPc943I07cYWTO/uqz8DABnrkNScQnCW7yDuDw8AELeX5eIzV9/R3l6wNkKvgqgJACBsMwcAuNvfUkDpJ/mXpcfYMK8HDgDkUnwau0TXpx4iABjoxl1rDkwizcQA0N5AzrtVOei8G3wJHYq9j2WJrpcqso13QQBwMlc/XphI9eUEAPXlnQBAxmTBEsZk1wPxFIUz8pIqUhZKtgs9LGKdMYC/EUsOzoN98k0GStPI26GnnQHAThwf56wDgPtVswoA5syZI+n4K/Xgrp2MMjMzRS0fBwYG4O9//zssWaJeADQwMAD/93//B4cOHdIBgE4iNbbfEgHAc45cnv1bM7q2855r+UA8rxxzWF+1x+ebrF7S2n3jM334+1oHYMHs97b/An2ZPnw4nQBgsIRPoRkfH4eRvj4CgFWa1TiEv80A4C0EgDKfi/zcSQ6bJz3f+OgoPz50A6YnxW6gNqZd/Z0arXeqCvsUP8PYpc8BAEBmrCu/prxAB7XmcDLm0mgwyLxdWsIHF94/qAaA0LPWFNjEYLBja+jBAEC5GRcAgOPKqwwAcLc/1SuIAMDWScXaOQDAFJLaUtp19dl/fMJx3Y2UQ+2+CyFFtpkBwCrlDQX4nW8OAK4KAODG9AZffuuuyQFAazo59Obbx0qOid2D7TivrsaT8tG79/hgPWq/tMdB2CYEAFtj3O1vLaLgM++i9BgbY4SK8O1Yu5EhUeQrVIoFnUwM3R0AAABrDgBMJQCgngDgZi4CQMgVBACvo2IAkGqzGe+KJ0KOZpoDQF1ZBz9/QyX+e/c9yZyJL4h9CdIDEAAs1+NJjVSbUqH4AJ7t4N+Io+9g4J48AJSkEgD0duBnyQOErETj96pt6QBgappVACCTySb9mIzMzMwkTZ+OHTumtumThYUF/PWvf4X+/n4dAOgkkhQAcL32t1ppz21XHZ31WM0H4vmVaGX/bwYAG60m73mgrmIyPPn72gTuBwCA721fBX2ZPnwwnQCwAo20Cp5EJ92xwUEBAGhW4xDxHwSAqKUIAOX+V/i5E+wm/3/A2OAAAcBG/L2I3URGZh13xf4W/wuFf4yfYcx/ngcAgKx4dwIAfzu15qA2nLiLXldJHWC89qsO4EPOWPHX58YlAIAAAFZOBgDw70OaLznrRtgohxgn48ts7RhA1pXTzrX33okBoP0OBVfuuxEAnLcgAFxdFaXU2M3GmO18b0UAyLKK4efqyp3egMZ3LZ4AOBvhd9OaSaczubYxkmNid7vz7wMAYKyvD2wMEVoi90kH86GbZHIA0FZaRwBwQdpPggveI3bgCUDmSQKAnjttouuTDwjahPYPsTnwu44wdRNd31YncN7Nw39foVcRgDyPZIqulzLaSriGAOAwDQBwp1QAAFV4wuF3amJn4nR/PI2y2pAAANJGZUI5cik8rniKVBBP30H/Xfm2qsXJ9XTa0okdyLgUolgnHQDcr5pVAKBtLV26FJ54QhxwxMbGgp6eHgQHK2/Xdvv2bfjFL34BHh64O6QDAJ0U1dhWzQNAFQMArtf+Fivtue2qozPuq/hAvOgmdr14jQeAxVq7b3S6G39fuyA0zTKw/Tfoy/Th/WkEAK/vMXi9sQABYHxkhGoAjDUDgMilDAD+g61oKwOpPWa8zdpJzzfa10sAsBlblMZtXko+Bj1NGq13qgr/CD/D6HdeAACAnEQvfk25fuoZMzoZye+iN96kAlCvfapTeIJPWdKudAJ2prFd6c4AQPUJgsNKSwYATgAAkO5PffXDrZRDjJMRSx8ywACyoYqCJu89EwNAWw2BgsdehBTnref4nfPxUbGTLScb42Bc2zYGADZx/FwdWWJDKE2kCABt2XQ6k2MtXQsXs8td7iRjbGAAbA0xrSpir3QwH7IRAcDOGNN92sspwMw55yc5hk/fYcF75ikq3u6ubRFdn/QDAcDwEOa085/lDjEAtN4WAEA+AkCYJQKAx2ExAPT1EAAUJiAAJLqVIwCYSrdMnYxul7Tz8zfexJQ/ciYWpzen+SIAWG9MAAB0n+bGZwaL4wQHVsSbwIp4CxPod7mvRx4AipLo+7nXhQDAFRHHOOoA4H7VTwoAFixYAG++Ke4HXlJSAnp6emBtba10/Oeffw4vv0zFkpMBgJaWFiguLpZ7BAYG6gDgPlODHABUQXV1NbzIAGCz1WszurZTbsZ8IF5ag0VmrzMAWG+1SGv3jUxz4e/rEGwBAAAGtq+Bvkwf3rObxhOA715EIy19BgBjYwQARprVOES+9QSUPj4fIt9GAKgKofaYcVarJj3fUG8HPz5sC6aGxW/9D/9aa1e9RuudqiKW4WcY/S4CQG6yD7+mHG/VLr4AQgDAXfSmGioA9dyjegc/6MRVSr1gtVm2K9HN13Gl6iJiBwM8QbBnAJARSH31w66qCwC4C914i4ojvXcfm3BcczVBjsc+BgDb8ATgyuoYGB+e2NiN37XejvfMtiUAaL8uLgbVRD5rMAXIxQjhrCOXHHpzrKIkx0TvxM+eq2UYGxoC25VYWB2+RxoAgjfIA0BHFX2O2WcmAADWwSfKDIP3rNNUvN15q1l0feI+cgoeZc62XGoSl0YkVEstdWq6VYAnCuFW2ObV41CG6Pp73eTtUJSE/x6T3BEA7LdrDgC1xQQATdUIAMqciVN9KhEANlO3pitrWbF8kDhO4Pv4szaeckF+t7zPiNTPXFgb0WiH2R9U6wBgavpJAcDf/vY3eO89sRtrdXU16OnpwfnzE+9OxcfHw5w5cyAri3IFJwMABw4cAD09PcmHDgDuHykDgE1W2nPbVUcn3Qz5QLz8NprDvMEAYJ3VC1q7b1iKjL+vY8hhAAAwtH0d9GX68K7d/Gm7j9e3i3GneiEDAEGh7TVDzWocot5kAPAOAkB1OHXHib1qPOn5BjubCQC2YXeo+G1v8681t02vA6y6ivgQP8Oo9xEI81L8+DVle6pu4QlAbTi5PvytgvQYz92q+/gHHrtCO6/p6Lhqu5K1rzRQBwCsGQA4AgBAVjC11Qy9rPwUw9GIpQ8Z4G58y+0WOr3YeXTCcQ3llObkuR9PKVy2n+VfGxsSO9ly4vPWWepLrn08AUC6OBVEE3mvxhMAVyOEs84b5RSYX5WuVYgyQwDgXH3Hh4bAbiXuzoftngAA1iMA2BtjilBnNTnNZp/2lRzD9fCPNsffm+yz/gQAVY2i6xP2EgCMjWGKlWInIaGaawgAagoRACKsEQDcLcQAcLeTAKA4mQGAJ37Pdtsm7xKvqJpCKhxvvoVpycqciVO8EQBsthAAXF2HvyvXA8V+EYpOvlJpPpykTgdc98v7CMxm6QBgavpJAcBUTwBGRkZAX18fVqxYIfe67gRAJ0U1tN0kALiJAMD12t9kqT23XXV0/JoBH4hX3cFj4bfsFoK+TB/WahEAQpMd+PvKwjCIMrJ7A/Rl+vD2dALAN4twp3ohzVnMAcBKzWocot5AAIh4Vx8AAGqiqDg29rLhpOfrb6/jx4dvR3+IhO3v8q81Nk+vAZS6inwfP8OoDzAl7EZ6IL+mLHfV6TcA4j787Y1UYOixS3UKUMARAoDiDEzNsFvpygBANYQ4GNgwALAHAIDsMCqqDbmk/JSXAAA7CLXXU562l/nEAFBfQjvpngfwBMBlxznaoe6f2NiNa10ZZcoAwDGRH9eWMvlOd8rkpQgAgi5HWZeluxVFmXIAgJ4M4yMjYGeA+fmhu6R384N4AEBA6K5tpfuc8pEcY8lcfGN2IgDknKfuTR0V4hOx+D0EAFyNhS1nJrZVDABNtwTOu0VovBVhgzUQbgeui67v7Rjgry9JbQAAgGQvBADbrdMAAAUEAC21DACUOBNL3dtyPQJAeoAEAGxDAEj2RACQKvTlJFUfwDkJRzIn4dksHQBMTT8pAJhqDYCDgwP87Gc/g7S0NKipqeEfenp6sGLFCqipqYG+vskb9+hqAO4/1QsA4CYDAK7X/kYr7bntqqNjrt/zgfithkoAAFjKAGCN1fNau29woh1/X+fwEwAAYGz3JujL9OE/05gC5P3VCxioPk0AwJltXTPQrMYh+nUGAO8hANTGePCBcfRFg0nPd6+5hgBgx7sAAJBo+h7/WkPDzLTei3oXP8PIDxGYblwP5teU6aY6fQcAwNGQa8OJu+idLbT762Gu+gTA//Al/vrSbDxxtVvpwgBAtZOwgwH6CDisxHSfnAhKqQm+YKVi7ax+wAA7CHU2kVmTp9nEAHC7kByDvZjXgYspAcDI3XsTjlVMfclzSqLAMEncn14Tea3Ck5RrxggA3SWUupR5SdqvINIUx1gzQ7PxsTGwN8AWnaE7pQEgcB0CgIMx/ry7jtJdMk94S465ugr9D2J34dpyLwTSSUipuEFH3G43/uec7JipWsgWCQCoJgC4XYwAEGmHAHDtBzEA9LT30+9hGgJAipd4F36qunWDoKj1NhqdKXMmTvIQnz5YbUhAAPAXG8bZbkGQTPHC/+ulWn1ykuoQ5HYAASDCRgcA96t+UgBgamoq2QXo6NGjSrsAKUvf4R4BAdLdEJRJBwD3n+QB4CZUV1fDvxgAbLDUntuuOjri8h0fiN9uqgEAAoDVVs9p7b4BCdb8fV0j0E3VxO4t0Jfpw1v203cC4P3l8xioPkNzFj6BwavbCs0AIOY1BgDvIwDcjvfmA+Oo899Ner67DZX8+AgzTEtMNP+Af63uzvQWf6qrqHfwM4z8CFOmCjLD+DVluJ5Vaw6+Cw/bRe9pp+DPXQ0A8LMgACjPxx1wu5XODACuqhxvb2AnBwB5UQn8fEHnlNcxOBpasbVjB6HuNmod6WF6ZMJxNfnUT9/7EAKAqxkBwFB3z4Rj+dQXtvOd70wA0BwvLk7VRJ4MANyM8V49ZVSfkXEhTHJMxA4OANDUa3x8HOxXYA/+EPMJAGCtPAD0NFDP+4zj0gBwZTV2P4rbzQDgEgFAW7E4JS5uF66La08KAGBvODEANAqdd0uwrWiUPTo9u+5PF13f00YAUJaOKUgpLA/fZrPmAFCdLwYAZc7EiRL1B9Yb8Xc7zVcMADabGQD4IABImX1xkvIIcDuYgQBgPTP/F01GOgCYmn5SAJCRkSHyARgcHIR//OMf8OKLlCJw+/ZtKCsjA5aysjIICAgQPfT09OD999+HgIAAaGwU5yiqkg4A7j/Vt1WJAOBVBgDrrbTntquODrt8wwfi9a0Iu2/bPaV1APCPv8rf1y0SA8BV9ktBX6YPb9pP4wnAf5/DQPVZAoCCJxkAfK9ZkXPsqwgA4R8uBACAukR/AoCz30x6vp66UgIA8w8AACBp5zL+tds105v7ra6i38bPMOJjLJouyokkAHA5o9Ycjivld9HvdtPOq7upaojwO0gAUFlQAAAAdisxoHRcoboQ2d7AngGALQAA3IilgDrwjPITBMeVHAA4AQBAbycFgR7bJwaA6pxcAoDDmKbkak4AMNg+sa8Dn/rCdr5vuKbw45pixDvTmsjDRB4Aeiupe9H189IAEL4dx3CmXgAADiuwB3/wBAAQsNYJvy8GAHebKfi+fsxLcgz38/i9WKCcf5n8G1oLxG0uY3YyAFhFxcv2hlg4HLxZDAANlQIAYM670Q4IAC77xADQ3dpHIHod/76ncp14NiVIvofJqDqPAKCtDgEg+NLEzsQJEh2IrFmQn8qCfKE4OEhlcFB+nQCgu1U+Y0HKJdjdAgEgXAcA961+UgAAAPDFF1/A3LlzwczMDGxsbODll1+GuXPnQlISHau99tproKen+qPRtQH9aWlkZAT27dsH8+bNg8ceewy2bdsm6u+tDADWWWrPbVcdHXL+ig/EGzvwD9o7DABWWT2rtfv6xl7m7+sRjWkkq+3/A/oyfXhjGgHAhwHA9ecIAPIXMAD4TrMah9hXWbrOMgSA+hRKjYk8/fWk5+uqKaTxu5YBAEDS7o/412pvTu/Or7qKXsoA4FOE1eK8aH5N12UTO+EKRUE07qL336VddLcdqgHA98BF/vqbJZh+YGc4GQBwYACABb+F8RRQB5xSDgAOK1kBMQMAYScY922HJxxXmZHFX+dzFO9xbScBQF+zuI89Jz71he18F7il8uMah6Vg9AAAIABJREFUo8SBqSbiAMDdBAHg3k0K/NLPhkqOCd/GAMAoiH/N4XtswRlkJl3QG7AGvy8nY/z5vTZqwZl+xFN0/djYGP/zhH0MAK4E00lIvvjvYLQZrktotOZgiMXJQZvEAFBfQacQdcx5N8YR26C67E0TXd/VLACADGzLm+bHevGzVpya6GYuFZi3198FAICQyxM7E8dfE5uQ2XBpPt5iAFBMDyrPILO6rmZ5AMiLEgDAAAKAx6FMuLImDsIsCzR+r9qWDgCmpp8cAAwMDICpqSn86U9/goceeggWLVoEkZHy3Q90ADA7lJubC8uWLYPf/e538Itf/AIWLFgAFy+KCxEHBwfB3Nwc5s2bBw8//DAsXrwYoqOle1pLSd3xmzdvhk8//RQ6Ozuhs7MTFi5cCF5e8rtZUgDwmj0HANpz21VHFrL/8oF4azf2wX6XAYCJ1TNau6939Hn+vl4xuDu6xv4d0Jfpw2vTCQCfPwulj8+HdAEA5Olj8Or+rWYAEPcv1rHno6cAAKAxPZx28E9+Oen5Oqpz6QRhz0cAAJC85xP+tVsVqRqtd6qKeQs/w4jPMF2t9EYcv6Z0h4n74AvlwADA3gC78Az1UzHlte2qAcBn/wX++ppyrIWwM2Q7yiuU5/ADANgbODIAwILfouR0fj7/k8q7CBEAoGGYsBe8+9aJAaAiPYO/zvc4pild20UA0Ns4sa/D1dVYpBy3BwGg0IPW2xg5vb8H7iaYN+9hggHyvRoq/kw/EyI5JmwrFg7bGgXyrzl+jwW4QabSAODPAwAW/PZ13uPvk3ZYDACjwyMEAPvx5zcsycCtKU9c5Bpthuvi2pMCADgYYnFy0EYxANSVEwDUVyAAxDohADjvFgNAZxOtuSILv790f+bGuyFe8n1PRlU5AgBoYACgxJk43gULzZ3MCQBst7JCX68K0fWKBcIVWQQAnU3yNSm5kXQSNDyEnhWeRxAAQq/qAOB+1U8OAGaTdAAwsaKiouDnP/85vPjii3Du3DmwtbWFnTt3gpmZmejar776CubOnQumpqZgY2MDS5Ysgblz50JKinpujeqMr6urg9/+9rfQ3d3Nv2Zubg7m5uZyc9W1VooA4HUGAGsstee2q44OyL7gA/GOXjwCf8/2adCX6YORFgHAM+osf1/vWAyO1ti/C/oyffi3wxMASlxSJyOf5c9A6ePzIe15AoDchewE4BvNipwTXmYA8DECQFMm7YyHn/hi0vO1VWYSAOz9GAAAUvZ9xr92s1TzHOOpKOZN/AzDl2PBellhIr+mNLuJi2CFUgyihcHdtW2qAcB7LwHA7Src2bQ3ZEH9CuVdfAAA7A2c5ACgJIWCc//jqgDARm7tQjdY9y0TA0BpShoBwAn8HXfbc55SLu7UTTiWy33nUl+KvK5ToBqmeb95odyM5QGg7w6lhaSekm6CEbpFCgBwnsAd0gDgtxoBQMYAoL+bdtPTDnmIrh8ZoM856QACQKF1KAFAtniHO2oHrotrTwoA4MgAIFACAO6UCZx3K9F5N1aGACDbJQatjkYCgMps9CG4HsAAYJ3mAFCZTcXxHY0YkCtzJo5zLhWtlev0k+QpBgDFFqFS9+OUE1HD/2xkGAHA6yieaoVemV4vCm1IBwBTkw4AZlA6AJBWT08P/PGPf4RPP/0UxsbGlF6bmZkpqusYGBiAv//977BkieqUG3XHu7m5wTvvvCM31sTEBM6elQ9ohADAfX9cr/3VMwwAPzh9zgfiPX2Yc/o+AwBDq6e1dl+PyNP8fX3icAd3rcN7oC/Th1cdngAYm9gldTLy/QyD19RFEgDwtWY1DglLGAB8ip9TSzbtjIcd+3zS87WUpRIA7PsEAABSfvicf62qOFaj9U5Vca8/jQDwBbasLS9J5teUajtxACwUBdHYhlOY3nFtqxoAIAic62vw/z97Q4fJA4Ah/q6VpVF6jt9R5a1MHVbayq194N4wAcDmid9/cWIy3eMUpim57aX30VEj7esg/Gzi92HgW+RNwFIXoh0A8FyFAXJ/Pe0Kp54MkhzDAYCdETW6cPoe028CtksDgK8CAAzcpVSqlIPuouuH7tEpUfJBPFUttCUH58aMctGYyO24LmsTql1wMsTuRAEbJACghACgsQoBgAuqnXaKAaC9gVLXqnLQifh6IALA1bVxousnK6kdeWXOxDys7BYAANfr3138+XBzcyZhUicOnLLDCQBGR/Bvrvcx/HcTclkHAPerdAAwg9IBgLSsrKxAT08PSkvx+P/evXsTgoCZmZlkZ6djx44p7ew02fGXLl2CL7+kVI/h4WH4y1/+Amlp8kfHUgDwFg8AmnWi0VT7HD/lA/F7g5gD+oHtM6Av04eVWgQAt4gT/H3947Ewc73DB6Av04dXHJ4AGJ3YJXUy8v0Ug9fkxQQAOU+xFKCvNKtxSHwJ5wn9DD+n1rwkPjAOPfrZpOdrLqad9egDywEAIPXAf/nXKm5ImzJpW3Gv4WcY9uVrAABQUZrGrynF+qBac3BtOLkgGoB2uV23qAYAr90UODfduQ0AAPaGrLB3hXIjLwAAOwPWMcgQA/GKTCrQ9T2qvJWpw0o7tnbsIDTYRwDgtmliACiKo979/mcQPNwFqUytVdL/j4+NjPLXcKkvJX6Z/Gt3gqb3JOiaMabueDEAGGymQtTk44GSY0I2cwBApl+y7/E1/20TAMAqBABnY+z4M9hPn2PyATEADHbTbnvyIRxTZEcOzvXpZaIxERwAGFPtgpMhdifyXy8GgNsSzrtSaTWc2usJAG7mIgBkBFXja9MAAFI5+cqciWO4dKU99DdH0e2X0/j4OD93ZjD+7knVHHDKDqNuUGPMVdn7eDZcWRMHwZfyNX6v2pYOAKYmHQDMoHQAIK3ly5fDr3/9a4iJiYF//vOfoKenB7/85S9h7dq1MDAgb2AyVW+HyY5PS0uDefPmQX19PXR1dYGhoSEsW7ZMNE4ZAKyy1KwTjaba5/gJH4gPMGfSDxkAGFg9pbX7uoYf5+8bmIhB4QaHD0Ffpg9LHJ4EGB5QMYN68vvkKREAZD/NAOBLzQAg6UW2278cU6XaCigwDj38yaTnayygE4QYC0whSrP4kn+tLE+6IFPbiv83foZhX70OAABVFRkEAJYH1JrDgbXhtGdtOAEArrA8d9fNqgHAcycBQHMjps7YG7LWnitsVY63M2CeAYaYilOVfYMA4LByIzJ+7QZ4n6F+Sl9y2zgxABTExPHXBZzDUwr3H6iYuaVcnMICADA6SIFxIkt9KQ3I5l+7HaB5qolQrkYMAFajR8NgG+2KJx+TBoDgTRho2wsB4DsGAFulAcCHAYCLCQbzw4MEOsn73UTXD3RQkXDqYRxT7BBBAJBaIhoTvg2/Z2F3IpkSAKgtEgDALQYAEoW1nNrqaE3VeVgzlRlczb+m2ABispLqyqPMmZjvWCQoWHYwRQBIuCYPSGNjBABZodhBSdh1qPVOr9z1WaEEAOPMVdnnBP4eBl3UAcD9Kh0AzKB0ACCtp556Ch555BF45JFHYNOmTeDn5webNm0CPT09+Oqrr+Sunaq781TGW1hYwB/+8Ad49NFHYc2aNXDvntjc505rBRS3FUOJAACWMgAwsdSe26462uPwMR+Ij7BdnmW2z4K+TB9WaBEAnMOO8PcNTnICAICNjstAX6YPLzk+CTA0eRM9Kfl9jMFr0osEAJnPYPDq8V/NahySGQCEfo4g0VGUxQfGIYc+mvR8DfnUXjPW4r8AAJB2+Gv+tdJs6WBM20p4dSECwDdvAADAzSp6n8lX9qs1B9eG034lBetcpxvXTapbiXoI2me2t2DuNQGAnYrRAHYGzDXYELvxVOeRSZfPIVUAwNZugCcNQwOC+oUNEwNAfmQMf13geRzrfoBOABpLxTvYAAAjfZT6ksRSX0oDc/jXav0032kWigMAbwYAwx1UGJt0RNrLJmgjfp4ORtTy0/k7DL79JgIAE3kAGBkmAEiSAIC+VmoVm3YU04ZKnCL51+qSxWZUYVs5AKDUJZkhtif1WycGgJpCct5trsETX6nWmpxabwsAIB8BQCpQnqqk+vIrcybmPQsELUsdzbDDVbyr/O/X6CillmWH1QCAtO8AJymw8T2ZzX6fZ6Yl8WSkA4CpSQcAMyhNACDZqwL8z+TOiodUBwJN9Le//Q309PRg7dq1cq+vWbMG9PT0oLKyUu7a9957T/Kz09PTg/Pnlf/B13S8oqQA4G1mtmU8wwCwmwXd+jJ9/j/5jxgAfG+1UGv3dQq14O8bmoLmUJscEUYWOz4JMHhXxQzqyf8jBIDElwgAMp6dHgBIWcQA4AsEgK6yPAKAg+KTIFWqyyWDrbgjCLXpR7/jXyvJkA6stK3EfyEAhH6LUHxL0K0o6dIeteagPvyUrnOV9bp32aT6BMBDYKDV3YGOrfaGzN13hb2K0QB2Bpif7mSEAFBTUMLP531QuREZtRBF8BfuXF9bPzEA5IZF8dcFX0Lw8RD4GdQXSrupDt0ln4FkCwyWy4MpZanGZ3prQVyMsH2nzxoMkEcEHg2Jh/0lxxAA0O+k83eYZuW7Rfr31NsYAcDVBKFmdIQC0sS94uC8r4lOItKO4Zylsmg6CUkQ96IP3YIAYCsAAGdDfH++a8X3uFVAANBSiwDAm2vtEANAS20Pf/2tAmzjKpUqM1VJOfMqcyaW+pmTOQJAnIu8c/joMH3eORE1AABQI/H+OUmlNvmdytEBwH0uHQDMoDQBAP8z9Ediph/+Z3Kn9P6HhoagqalJ7jE6OgoLFiwAPT09OW8GAICkpCTQ09MDZ2dn/rX/5QmAOpICgHcYABhZataJRlPtYmk3C50W8K99zADgO2vtAYBj8AEeAMJT8Q/zZidMR1rk+CTAwMQuqZNRwDIMXuOXEABcfw6DV8/PNatxSH2BAcCXWEzcXVnEB8bBP3ww6fluZwXx4+OPopFYxvEV/GvFaeJWif8LJb2sjycA3y8FAIDaWzf4NSVe2KXWHIpBNAC53bpsVA0A7qYEAD09WKxpb8QBgIPK8XYGbgwAsOXsneIKAoADyu9PLUQxj39kSAAA6w5NOC47mNJVgi/jKYXnIQKAuhvSZkqD3ZRnnsJy38tDyVX4lpf67YzVkbORJwuQ8QRgVODRkHBIGgACN7ATFSMf/jWX7zDA99ksDQBexs5yADAm2JFO2CMOzu/+f/bO6yuqZdv/PpzfuP/Cfbsvd4y9z959zs4555y3O7olgznnHLY5K6G7ge4m55xzzhkUEBBFxICKAUUUYf4eqlbNWqxa3c0CDg5uf8fwpVhVa3Wz1PmpmvM7L2FwWrGfnDS0BSMAXMhTWlGmLCMAwBcnB1sBANEOeFEEeTf8VxUprr96HgHgfDMFAEGxrFadKUUAuHuTpEFm0SBf1JlYdDpg2UB6RuQGyQHgEffe1mWSAnTZCUi3/N9cVtzMuRvFHSIAkHBU2//v/0k5AECbHAAwg/q/fgJQUFAAc+bMkf05f/48fPLJJzBnzhxob5cXNrW1tcGcOXPg+HEs5PtP1QDYKwkAWjkA+JwCgIvv9HXbtUfrA78EnUUHz3EA8L3xRQIAfrppu29A0lYGABnlxAJwuflH0Fl08JLpGYChW1Nyn4SvSfCa9yYCQPlLFAB+mhwAlNF1Un8jEHe3q40FxklblSdItnShIo7NL9g3DwAAKvc7s7HmEmUA859Q8RsUAOZ/AgAAPT3NHACst2uN8UE0AICvOynoDF5sBwCsRgAYuk9OhwJdqbPQfJPN+UbncBkA9LZ1svWittoCALPs2fmd1NAF6icA1YloWZnqQ04pIncjAFyoFedRP7iBQWbpbhJgn03HmoXuiCzhPK0aDwCj9+6hDekOla6+i6SUKgSAkHlmqwAQSQEg1IOA7BiXk16wUflu372IBaqVBwmItIdiWtWFHOX3l7JUAAA0xUk64eAl6rxbHEkBYKUSAK504+nIhRZyEiWyy9Sq08WX2FqDAxQABGk+kkT1AZaNFAAs8hoJPnWtPosU0l8QFEFLKpfsTRchAEibjFo3+P6TcgCANjkAYAb1f70GYGBgAHJycmR/Hjx4ABs2bIA5c+ZAXp48/zUvLw/mzJkDYWGYQ7pmzRqhi8+ePXvscgGa7PzxutjfrgCALygAOM8wAKwLINabz3MA8IPxJdBZdPCHfvoAwD9pMwOArEoSRKywEEvSF8zPAty/OSX3SfyKAsBbCABldOc+6sfJ1ThIIJH6O0njunehCwFg8+cTXu9caRQCwIH5AABQddCVjTUWBdlYYXpU8tqz5HM6fwoAABcvnsHnPKrswSHS+CAaAMDPjQTIQYtsA0DYKgSABw9JYBToqp8AAJBdYLMb8fzva8f85sgt1msQApws9NmJgxCfSx26QP0EoCoem1al+ZFnjNpzCgP56lrhvKH+WwgAe0gw3ZnZxMbOhU+tG5TFlRTJxi2kADA0BD4eZKc9f7tKV18KAGbXaDYmAUD0UvGcCFcSnIdJAMC50uRtCFFcf+c8OuJUHiIAcDYcT5m7s5RpKMlLyD344mRW4yAAAJELTklUB3h75YFxudJt6co5BICe0wQA+IZZIw+nDgDu3RoGAIBsk7LQV5LIIShoE+k/kWMeBwBc8XpDDgGAnjMIAJe7xgFAPIFkvsFZwlECAHGHxO/ukyQHAGiTAwBmUP/XAUBN9fX1MGfOHPjjjz9k47///jv84x//gL6+PjZWWVmp8PEfHh6G//3f/4XXXpP77t+/fx/a2trg+vXrmubbIxEAfEm77Tr5Ts6JZrJaQ5tvvWhCAPiRAsDv+metzJycjAkbGADkVpNdxlW0Kdnz5mdh7N51GyvYp8QvCQDkvo0AUDpFACDVEqT+QQBgqLeHBcaJmz6zMVupzuJwzK0/5AwAANWH3REA8m0HutOh0lcpALgSqLnU144AcHi1XWuwIJracAIA+LmRADlooW0ACF2BAPBohFjEBrpJAGCxOd/oHEkBgHj+X+3CoC1ys50AQJ+dd1MJ8VI/AaiISUIA0JsBACB6rzcb66pQdnYFALh/BYOysn3k70ZnTgvOC0kXztMqySc/fhEFgOFhVp+Ru02lq+9CAgAWV+x6HjqPnPJE2QCAcE9s+iWdNOStVwLArU4MhquPkB39jggEgHMZyl3oJAoAfHFyqCtJ/4ryVAKAyAe/JIYAgGGZEgAudyKcXTxDNinqsriOucOTA4CWIg4AbhMAEFl9ShL1CAjeTAAg2ySPIXj72sZcsol1sZVrhNYpP3UtiyUA4LekgI0lHqsnAHDQAQCzVQ4AmEE5AEBdrq6uMGfOHPjll1/Ax8cH5s6dC3PmzIGNGzcqrp07dy784x//gLVr14LBYIA333wT/vGPfyhqCKSUo+3bt2uab496BADw1RMCAKv9P6NpNxjs/2R8GXQWHfw2jQCgj1/HACC/lhTsrbb8CjqLDv5tfhYe3702JfdJ/oIErznvcABAi3ejfphcjYPkJpQ6j1i5Dl/uQwDY8MmE1+vMD0YAOOIGAAA1R73YWH2ubbeb6VDZK8+Qz+lG0pouX+lEADi4yq41JB/+QGcfNubnlmw/ACw/QgIVzxxWrB7o5mc3ABicyS63xZ0AQP/5Xhb4RGw6ZHVugPTs1EKU37kO8VQHgLKoBHZdhj95xuj9Pmyso0xZ1AkAMHgJ01LK95Od7K7c02ysM2h6ACCBAsDYw4esPiN3a4xwTtwCdQCIXCIGgHBXMieCAwAfagWbuzZYcf3AWfwd1RwjDlid0QUIAOk1ijmJiyUAwGeQACDSU+k0JOqEW0oDX/3SAsX1fR0cALQRAKjP7mFjDx+MCD+7vWouwM98/w6xZRY1+5Ik6hIcsqUcvL3yICtAHkPwDewa8wgA9Mo6IQ/Irhd9D0nHCQDEHlB+90+aHACgTQ4AmEE5AEBdjx49gh07dsD//M//wP/7f/8P/vd//1fVkefBgwewZs0a+O///m/4r//6L3jllVcgM1N5dK4GAPbOt0cSALRxAPCNP+m2+5fv5JxoJqtV/p/SwlsM9n82vgI6iw5+nUYA8I1bwwCgqC4FAABWB/3Gxh7dvjwl90n+nABA1rsIACWvkuA1+vvJAUA17SeQOp80c3t07RoCwPqPJ7xee64J7TWPeQAAQO2JhWysNsvXxgrTo/KXKQB4fAkAAFeudWOx8v4Vdq0h+fAHUhtOAAC9K9khD1pg3YUHACBkmQQAWAAb6OZLAUAZPI6XgQa5EgDc7MX0koiN1gFA9Oz2AEBpRBy7LtNEnjHmgC8bO1ukDOgA5LnvFTT3vbsAXYs6LFPbD8LkEgPeXnmQuJgCwMgIq8/I2SIGgFgKAEEcAITNI4XeEYvFABBGASDSE5t+SVawOQIAuNmKgXXtCbJJ0BmDzdW6UpQnKImLaL8Hrjg5zAoAiDrvlsUpd74lXTqLFqm97SRgbsjB5xwemhwANOUjAAwNEgCQOhNbNijfl5RTpDYkag9+F6HbKggA+MtdpobuPmRrN+WTXhqX2vHzXGqXA4DoJCT5BClGj9nvAIDZKgcAzKAcADD71NPfpgCAbykAzJvGbrv2aKX/x2i9STWXAsAv+meszJycfGJXsWC/pIHsaK4J+gObkt2cWJ2FmlI+owDwHhZ1S/790d9NDgBqaEfhVCeSFjZy4wYLjBPWKl2kbKkty8jmlx4ndrd1JxcjAKR721hhelTxEgUAz68BAODaDUx1ytu71K41JBtOkwwAEklg42UHACwlAODjgQWwge4SACjTR8bL4BJL7uVBzAJuX0b3k/D1tgBAsrzkAEDqYuyhDgDFYTHsHllm8oyxh/zYWFuB0mYSAOCuLPedpL50F7UhOJhSbH7eiSiQAkDSEgoAo6OsPiN7U7RwTqyXBADoTBU+L4ACgLhwONSVvAORXggAvjTVKHuNEgButKC9Zt1JYrzQFVeMIJRUpZgTTwHALAMAct8IDyUAiDrvlsfT4tfFyoZrvXzAfJYEzI25F9nYg3uT62DemKdcy1pn4uSTJCCP3ocBedh2AgCZRjkA3L+DANBSSACgr4MDmjZ53ZWoFoLdb684fe1JkgMAtMkBADMoBwDMPjEA6EcA+N5IAODPGQaAFcaPSPOtQAz2fzG+CjqLDuYapg8ATsWsYMF+WRM5WVkXPI+N3b9+fkruk/IpCV4z30cAKHqdBK8x306uyLn2XxQAnF8HAICRgQEWGMev+WDC67Vm+LL5ZScXAgBAvfcyNladetzGCtOjyhf+SXobLCS9DfoHLiEA7Fli1xr+zmF0Z/YUG9O7JkwAAEgNgK97BhszuftQALDtjmRwIbvxQRQA7lzD1IfwdQetP7sEL9yzS12Mg93VAaAwOIrdIzuYBJ9xRxAAzuQWCOfd7sI88KrDJPXlfAnalrYHTMyFzJYCKRwlLSXf49jYGOhpfUbWRjEAxFAACHbFdJ6IeaQxW/giMQCEuNBcfBkAkFSj7FXKAvf+xi72meu9yalHd0IJAkCiMoVKqk3gi5PD3awAgKDzLnO/WagEgIuylBmSMy8L2gcnCQAcTAzfpwAQot6ZOEmwIx+2oxK8vfIgwyC3mb13exgBoOgSAAD08TUNrXIAELkhSScODgCYvXIAwAzKAQCzTxcEAPCD8XnitDON3Xbt0XLjh6Cz6OANDgB+Nb4GOosOfp5GADgZvYwDANLYaH3IX2zs7tWuKblP6icEADI+QAAopAAQO0kAqNeRddJc3gAAgMe3biEArHpvwuudTjvF5pd7k8C6wXcFG6tMst0xdzpU9TwFgEXfAQDAjTtXsGPx7kV2reFPbThNrifZmMElngCAp+3GesFLJADA/HcJAPydlIHdeOldyb2C6L3u3USrzbC1tgBACS9S6kqwmzoAFJgj2D1yQkmgHHdUz8aas8UdfW91YBpI9VECABfKOvDkwJgknKdVAa4EjpKX4UmK3pXUZ2RuiBLOifFUB4AwVQCgbjwL8PflR1ONMgUAcK0OP3ODLwWApFI8CYlX2mKKahMkAAj3CFdcL+q8y/zvFyh/PxfPIABcpkWzorQdreLTiR7SdKKCUAIAos7EUlFu7AEsyg3fSQAgXS8HgMEBBIDTxQQALncpXY0kifohpHorU46eVDkAQJscADCDcgDA7JMEAO0cAPzoT5pt/T7DALDM+AHoLDp4kwOA34yvg86ig58Myl4IU6Xj0UtYsF99hhwxbwh1YmO3LrfbWME+pX1MACD9Qw4A3qAA8M3kAKDhWXoC4PYmAAA8vnMHAWDlexNerzn5OJtf4bsMAACa9KtxLOHApJ5Xq2qeIwCQuuR7AAC4ebcfAWDnAhuziSQbTjkASGk5dgDAYgkA0tiYycObAoAysBsv6bQhyIvca+jWPQSANTYAQIIXN3x21sXY9W/VefkBYewe+REkII0/bkAASBd39B1oxyCw5jjZ7e+pwN3wVn2CcJ5WBVAQS1mOJykGWp+RsV4MANEUAEJc8buP/Is0ZgtbKAaAYAoAMRwA6N3TCACsVALA1Zp29pkb9QT8zqeU40lIjNIVB2sTMDUpwo2Mhbsr3xNR511RB1xJIt98UeGuVtVnKQuKC8PaVQEg4Sh15eFsOSN2VYG3Vx6k+cobpd29+QBPn0qJax5vayr1NZAk6ogsKjp+UuUAAG1yAMAMygEAs08iAPiZdtv9zW/6uu3ao6XG90Fn0cHbHAD8TgHgh2kEgKORi1iwX9dGjrY3hrqwseuXpuYf7fSP/qkAgII3SfAa9/Xkipwbn6EnAO5vAQDpoCoFxnEr3pnwek2JR3C3X7+SjBnX4alA3N5JPa9W1dJah5SlPwAAwK37N9kz5Wz3tGsNyYbTRG04AQAMNPfcbAcABC0iAODnhgWwZgYAEVZmEkn1BhIAPLw7xAKf0NXWAYDBiwwAMmwCQJ5/KLtHQRTJSU84acSgNk3c0Gvba11eAAAgAElEQVTgDDaWqj1B8v0vVmM+/BlfcXderfJ3FQCAC/m+MtaJASDKk3y2UDclAISqAECQ1JF3IQ8ApNYgY4USAK5UYd1Dk5Gkfl1IQwBoi1YWxcYIahMi3clYmAAARJ13q5KxR4TkOCWJ75x7pZsAgMi6U6v4ngKPaE+BIikQXyUAgCPKxlyRfxMASPWRA8Cd6/jOt5YRABB1NpZUIAAPZju6ywEAs1UOAJhBOQBg9ulCf6sCAObSbru/6GcWAJYY3gOdRQfvBCAA/GF8Y9oB4HCEFwv2G9pJLu/mMDc21n+xycYK9in9QwIAaR/jZ8l/i+7SfzU5AGj+JwUAz7cBgHRQZQCw7O0Jr9cYf4jNrzISf/2WwI1YFxCtnm4ynaqTah2W/wQAAHeG8aQje5u7XWsYqQ2nyQ3rGCRnHrO77dqGoIUSAGD+u8nTfgDwoyktwQsIADwawoLIkFW2AIDCizvCC+ti7LJHdV6OPhgBIJY44ySeCmBjDckZwnl88WvtKQI8vTUIBad9xAG2Vhnp6UjqCgQAowsZS18bKZwT6SEBAAbzUX+R042QBWJAsbiQ7zFuEQcatNYgfbkSAC6Xo/NRcwCpE+rJqMQgNlKZEy+qTYiiABDqrnxP5J13SfBenYrf/9joOABoQgC4duGOYg2peZdWiboKF1npTCx15k04ggAQtaea/D69G2XX3u5HAGirIC5r1y4gAHQ3yQEgP1RZe5Au6Dz8pMoBANrkAIAZlAMAZp94AOjq6oJz587BrxQA5k5jt117tMjwDugsOniPA4A/jW+CzqKD74zTBwAHIzxYsN/SRQrYtoS7s7Er55VdPrUo4wOavvIxfr68tykAfDk5ADj9NFkn3Yvs9o8ODbHAOHbJWxNerz5mHxb8BpAOu6fNW9AZKHLHpJ5XqxporUPqyrkAAHD/0X0EgC2udq1hdFYG+zh2wspMIsvCY+DtlQd6V8x/N3uSrrpGJ3GQyktqOha8kADAyEPsihqy0hYARAkAgKSuBDurA0C2XxC7R1E8SdtJ8glkY3WJYjvP63zxqw+55lIDpoa0nBJbc2qVkZ6OpK3EYN5I04LS1lgHgDAOAKJtAgD5HuNlAEDALG2ZEgAulWDzs5ZAclpyMasKT0LClQGxKDUpyiOYwooSAES79zVpCACjj0dl13c3Yo+G/p67AABwpgRPEQYHHgg/u72qSUcAePyI3Ls4igCAcYXy88YdqiUAcBT/vYzeSwAg5ZQcAG5du8/Wbq+8AgAA/T132di5hn7Z9SL3oQwDAYCwHQ4AmK1yAMAMytZL293dDWfPnlUcTTr05Oq8BADXWuDs2bNw/vx5+I122/15hgFgoeFt0Fl08D4HAPOMb4HOooNvpxEADnC7/W3dDQAAsDXck41dOjc1RWaZ79MC1k/w8+W+Q606v9AOAGNjYywITl/4HgCQDqoMABa/OeE1ayN3o+WniTS3a7Vsw94AYds0P+9k1CjVOqz+FQAAhkaG4DR9pqxNznatwdJ93DHdRwqszW52AMACCQAS2ZjZiwKAszhNhZdkaxm8iDgOPX48igCwwhYAUFDx4AEg1SYAZPmY2T1KE8lzJ/mZ2FhNnNjN51odOv7U+5Kah74mzDNvPjG1ACDl+6evwmDen7ompa4WA0CEe5gSAOYb6CmLGABYw7HF3EmDG7l32lIlAPQWNeGph4X0f+jNqcaxUGVALEpNiqYAECICgEJl/r4sCB+RA8C5Bg4ALlIAEKQRaRUPH48pfJREUz/+5crOxLEHasDbKw8Sj3EAsI+MJZ9skF176yoCwNkqAgDXezkAqJcDgKj/QKaRQFnYdnETuydJDgDQJgcAzKBsvbT9/f3Q2toKfX19MDIyuaYjDv1ndL6/FVr6W6ClqxFaW1vh8uXL8DvttvvjDAPAAgMJ9j8IwGD4LyOBgm+mEQD2hWG+f0cP8aveHrGAjfV0Kh0+tCjrPQIAyZ/yAPBPCgDaXY5GHo8gACx6HwBIB1UGAIvemPCateE72fy6oC0AANAWgmPFIZs0P+9k1ERrHVLX/g4AAA8fP4QWevqRudHJrjWkgl8+3x/rAk5amUlk8TpOgiAXDC4RAGwHxNKOfchiAgB8N9/gZdb7ABidpVoFPL3wdacnCs7qdRkZJzHYL0shufwpRgsbq44Ru/lc44pfG/QkTehKCwaZzcfE1pxaZaDpURlrOABwpgCwSpxeFU4BINwdg/mY+cThKMhLDACs4dgSJQCkLlV2c76Y38g+c2swKZjuy6vFU4GQAsUcUWpSjCcBgGA3JczwBbxDdwkAiNJwJHXVY5O2672DAADQWqZ0EtIqUfpRKW3IpV+mBICY/TTYP9GgGEs6IQeAm5ex8L2j+ioAANy4NMjGuurk3ddFHYgz/QkAhG5zAMBslQMAZlC2XtqRkRG4cOECtLa2QmtrK3R0dLC0EsefJ/NP85kGqG6uhuKaAjh//jyMjo7Cn7TZ1g8zDABeBpLu8yEHAPONJC3o62kEgD0h6PhzrrcVAAB2cIXB3e3K3T0tyn6XAsBnGOzn0LHEz7UDwMNhTPdJX0I8/8dGEApiFrw+4TWrQ7ay+fWh2wEAoD18DxsrDN6g+XknI6nWIXXdHwAAMDI6wsYy18+zaw3Jh9/sgZ7/UnGt2XUiAID575YFJykAiDvP8pJy9kOW4P2lZl7BS60DAIMXTwQAP3daU+CkDgDpJzDdpyKd7OSn+mNaUGWUOFC+WtnKrmk0ktz3q63YsKrpqO2Up4lI8vzPXIO75gHO5DOnrBTfK4wCQAQHALEMAMQuRazfAAcA/m4k/ShliRIAenIbEABCiSNPX2E9glCQ0qdflJpkDQCa8tF3X7LwFBXiSuqsRQC4cYkAQJugl4BWVQoKkEtjSWdivaAzsZTuk3wS031iD9QqTgUAAG70YbDfWXtNdUxSjpkAQNAmdFvKCjhN/h5tnZoNmumUAwC0yQEAMyh7XtqxsTG4c+cO9Pb2Qnd394wHuI4/1v9EZhvgaM5R2Je0HkZHybHuPAoA3xkml4c+WXkaSMHvx/74HE7+74LOooMvpxEAdnOe/z2XOwEAYGfUUjbW1VYwJffJoek+SVywn0NPBRI/0w4AD+5jIWzGMtL1d+zxYwQAr9cmvGZV0CY2vyF8FwAAnI3EuoACy1rNzzsZSbUOaRtIsD82NsYckDLX/mnXGpIPv8WTBwBlbwA1mT1PUADAYN+y8KQCCtTk605ce0KW4v19PEgzr6Cl1vsrMHjx4gCA7lwHOe1TnZd6DAt+qzJJIJ8WiIXBFRHi575cfhqD/QCS+371LAaejYenGgBIOlPmWgSAQHrqkbxCfAIQ5kZ+d5EeSgCwqABAAP0epYZjAAABbqTYOHmxEgAuZOFuf1s4CfYvF+OpQJNZadMppSaFu3HP5UmgK8hVmSom6uIrsuKU1FFzlf3sZt89ABB3E9YqkQVpWRwBAD8BAEgFvylcwa+oLgBAvNsvOxWouSq7PttE3sPgzQgA2YF0bIsDAGarHAAwg3K8tLNPznqS7vOVEXf759Nuu9/OMAB4GIjl5yccADj7E2egL/ynDwB2cl1/+66eBwCA3VxzsI4zYo/0iSqXFvwmcvn+2bQuIOlT7Z/v3p3rCADLPwYAeV1AjOerE16z0oSWn01RZGe5M/ogAkDgas3Pq1Wjo6Ps/mmb/mLjUg+EjNW/27UO6/rreYSNiboDq8nscYLu9mP6CwKAdVvMsbEx1rgrdBkPAMTLP2iJLQCg8OKF6Ut+dOc6aL46AKQcRsvPmlySw55uDmFjZaHi1KW+Uix+bTaRef0dmHvecNC269FE5OdG0qOy1uO6gbTuIUkFAEIpAER5YPOwOCc/CkqJwjkBFAKTl/EAQMcWKQHgfDrm+5+NIukvV0uxLqDRpPw3ItydPFcEBwBxXgQALK7K1Kn6bGXjLVEzLkkd1QgAA1cIAJytvqIY06oKQRfi8ng6tlhw4iGw/BQ5AwGI8/0HriAAnK2+Irue7fZzwX6O6YwCCp5UOWIpbXIAwAzK8dLOPs3Xv0RTatDy04l22/16hgHAXU8A4FMOAFz8SW+Az/2fnrb77gj+Ax1/rl8EAIC/Y1ZiYXCz2CN9omIAwDn+ZFEASP5EOwAM3sRuuJkrP2Hj0li0xysTXrPcfw2b3xxDmn51xR1lY3n+KzQ/r1Y95mod0jY7sXGpC3L6ql/tWkfy4bd4cQDgRNI1TC72AICU7oO7uEGLJACw3hhrdGwUvD3Jbn/ocgQA6VTAstg6ADB4WcADAG0sNn+/6rzkQ9j0qy6f7OhmBGFzsNJgcfFyH1f82mLJAQCA/nPYgKr+gO3GZxOR1I03ewMG+yZaoJ24XAwAIW4kfSvaEwEgXgIATzEA+NPvke83EEgBIEkAAOdS0fGnI5p40V+rQDhqCMhRzAmjABDpzoGJFQCoy+LSfYZJug9/KjB8/5Hs+rNVyt1+0amAVpXHdyqCfREUSIrYrWz6JeoNACB2/OELgyVnIElZgnz/XCktaKMDAGarHAAwg3K8tLNPf+lfpK46CAAutNnWV8aZBQA3PQGRzzgAcPX/gELB9AHAtqBfWbB/Y4D8x7MnZjUbO9OYPiX3yaOe/wlf4elL5geSM5B2ALhz4yICwKrP2LiULhPjPnEAKDOsZGuejieB8rmEE9h117BM8/Nq1aOHD7DWYasLG5d6A6SvmGvXOn7U7jFIBgAhFAC8bc43uUsAgOkvQYvJGO8MJPwMjx+xfP+wFTwAkJ1vyyJbAEDhZSEPAPEUANS7Mycd0GOwWkR2sDNDwtlYiUWcytNbgLnvp4MJOFy/MIAwsT9MOE+rJBDK2cgDACnQTlwmBoBgVwEAOBMAMKkAgGQ3yvcbCHQjaUGJC5UuQOdS0PO/M44CQCWmR9UbsxVzQgUAEL+AAIDZVXniIiv4pfn+jXnKtCBJsnSfawQARHUBWlUmyPeX0oJ8BJ2JI3aR7yjdr5mNiboDA4g9/2/3IwBIvQEkiRx/cgXOQE+qHLGUNjkAYAbleGlnn/6kAPCd8d9szNX/DZpnrz0PfSrkqn+V7vZjgOzm/yFNC5q+FKAtlrks2L99h7Sg3xe7FnsD1KdMyX3y36Ce/19zAPDhMwQAPtb++QaudLHAOGvN52y8hRbHRru9POE1S/2WsTVbk4jl5PkkHwQAv8Wan1erHg6h53/6djc2XkO7A6cv+9mudSQf/qAFPAAEUwDwsTnf5E4cf/ydcPc7aIkEAGI3HUnDDx+wICdsJR/Ep1IAOGJlNoCeuuQEcQCgp4Gr5S91C9HE/X7svk2lxEs9OzySjRWZxDv5F/Ow0PVMCAn6bl68hQCwN1Q4T6t8aSpU7iYEEjMFgISl4mcMciU/j/XCQDvBhXzeQE/x78NI7UbTVuLzm9xIYXDCAuUJQGdCGfvMXQkk4OyvxuZg9XrlKWEoPZngU5MSFqoDQE2a0vJTVBgsSV7wSxx/ztVjetb13rvCz26vSgSOP3xh8HiF7yQAkKFHAEg8Rt6f2ANyALjarez6K+8OLAcA5vnPAUCe1BtgvQMAZqscADCDcry0s09/6F+gnXURANz8ifvO5zMMAC56Uoz8BVef4BHwEegsOvgoYPpOADZbfmLB/uC92wAAcCB+PRtrrLWe1mGvCiQA+AY/X8ZHBABSP9IOADd72xAA1n3JxptpcWy0y0sTXrPEZwlbsy2V7IpfSNWzsRyfhZqfV6uGuGLn9J3Y9bf6OZoWtORHu9bxpcF20EIeAIIoAPjanG9ykwAAd7+DlpygACD202efYQiLH8NW8wCQTHf2rQMAg5dFeHqgd4uhAKDuIJSw15fdt6WCpEzkREYjAASId/Iv5mDxa2tYAQAADFzC4K1mT4hwnhaR+giSHpW7GVOSzNShKX6J+AQgyDVKAQCJrhQAPMQAIDX9SucAwOxKvsd4AQB0xCEAnEsieeg36toQhPwyFXNYahIHAIkUAEyuSrco3nZzlNpu8tagUm8ASSLLT1lvgJ5JAkAUAQAj5/lflcJZg47r/xO2vYIAgKGFjSWdICdIMftrZNdeOXebrXPhNNl0uXsT4fhMaZ/selHXX6k5mGmdsgvzkyZHLKVNDgCYQTle2tmn3/TPE89/DgA8/In//mczDADOFAC+5ADAM+Bj2htg+k4ANpp+YMH+8DD5j/RgwiY2Vldj29rRHhW+TgLVuG8x/Sr9YwIAaR9q/3zXLzRhN9wNX7NxqWlWtPPEAaD45EK2Znu6HgAALmb4431OeWp+Xq26d/cmFjvvxvtXPU/SqNIWf2/XOpINZzC32x7gRDzxA53tAQBvCgAYPAYvJQDg52b9tGjwLu6eh3MAoKc70pYFtgBA3kQMAMDgGk0BQD19KP5vHwzkq6sAACA3OpaNFRjFgXxPZg2mZUSQQPDWVSzWrN4dbPV5J6Kxx49ZelTeVgQAC3VoilsiPgGwUACIW4DPkkQBIMBDDGSS3WjGag4A3CQAUKYAnY0pwZSVVLILfbMRm6TV+GQo5gS7kZOJGE98rsRFBAACXZWuS1UC201RczBJoqZf55uus7FrF+4IP7u9Kookn89/JdogiyBFUug2AgBZ/ggAyScJAETvkwPA5S4EgJ4zBAAGBzgAKBkHAH4EACJ2cQAQSgAscK0DAGarHAAwg3K8tLNPv1IA+NnwHBvz8n+bptnMLAA4UYeirzkA8Ar4lHYHnj4A2GD6ngX7jx+T3NvDiVvYWE2l7e6u9qjoNQoA3ykBIP0D7Z/v2rk63Jnf9C0bb6DFsdFOL078WY97sjU7sgMAAKA324wnDSfcbaww9Rq81Y8A8PcCNl75AgGA1IXfWpmNkvLMg7l8+wAnMwUAP5vzA918KABg0By8TAKAVKtzbw9ggBa+Fq08peJes9dRK7MBfKlLTvBiHgBIAGyZpw4PcbtPsfu215JgLC8ujo3l+ymDXgC5+017FMl953O1q3ZOIQA8fIhAsg2LZIMkAFgsBgAzBaD4hRwAuJGaB38VAPCjNReZaxAALG5knTgv5XfRFlWEKSvpBKBuNnUgAHgr64REAJC0WB0ARLabLUWX2D3u3R6WXX+mBAFgcIACQDO+X1e6bws/u70qCidN4PxXIQCIugNLCtlSTgAgAOOFlFPEKjV6r7ybel8ngvDF1psAAHDv1jAbO118SXZ9mi8pRo/YXcXGCsLI8wWuKZ7U5/xPyBFLaZMDAGZQjpd29ukXw3Ogs+hgLgcAC/zfof77MwsAkkPRN1yB8oKAz0Bn0cG7gdMHAOtM34DOooN/m5+FMdob4UjSNgYAVRVTU+hY/CrtzPs9nr6kf/IsAYD3tX++q2erEAA24y54PS2OjZ7/woTXLDziztbszDUBAMCl3BAsNj7mqvl5terODXQ7yti3iI1XvkgBwOtrK7NRkuVm8BIeAEwUAPQ25we6knSaACcM7IKXEwDwdbdeMD7Qjy4tEesQACR7T7PnMSuzudOLJTwARFIAUIeH2J0IAJ2NxJO9ICGBjeX6KtNeAAC6U7H4tSOGBFp8qkblDjE4aNHjB7huwQ7MkQ+iFq2xi8QpQCaaupOwCH8fye4SAIhPZCS3oSwOAIIoAMR6CgAgohBTVjJJMHvrdBeehJxMU8wJcpNSk7jnogAQ4Kq0iy0XOOycLkYAGByQAwD/s3u3yM96TqND05VzkwOAQkGAXZOurFOQFLyZpEllmzBeSPUmABC1Rw4Al85iIXlvGwWA2wgALUVyAEj1IQAQ+TcCQCEFlIDVDgCYrXIAwAzK8dLOPv1MAeBXw/NsbCFttvXhDAPAXxQAeIeiRYFfgM6ig7cC/wkwLud0qrQ28GvQWXTwvBndh44l72AAUF42Nbucpa9QAPgB4SvtUwIAGe9rr3HoO1OMxblbf2DjkjtO9F/PW5ktVsEhF7bmuUKy0325IBwD8CPOmp9Xq25d78UTiANL2XjFS7SOwvMru9aRfPhDlvIAEKgBADBQDGEAkMEa7InUfxlTOiLW8wAQZycASE3E8DoDdcGxzFOfG7P9JLvvuRZi01iYlMTGcrzNwnldSeUIDvGk2JJP1ajYPnUAMHIPTxYKdyIABFMAiFEFAJLKlMgBQIoHAQCjh/hERvoes9dxdRw0YI8RAEBrWAHuWOeQgtbbbbgbXnVCeR88UeCea4kEAMq6IpHtpijNR5LodODimZtsrK/zlvCz2ytRio3MqeiRvDNx0CYCADnmM2xMFLgDAPS2IwBcOjsAAAD37+AJUHNBr+z6FAFIFEWcVZxQPKlyxFLa5ACAGZTjpZ19+snwb9BZdPCbAXeFFwe8R9NsZhYA5jGHIgSAJYFfgc6igzcCnwEYfWxltnatCfwSdBYdvGhCADiesosBQGmJeHd0oip7mdpy/ogAkPoZAYDM97QDwKXmfPTn345OOHXUHSd63sQBIP/AfLbm+WISeF0pjEIAODRf8/Nq1c0rFxAADi1n4+UvUycljy+tzEZJPvxyACCdcgOdDDbnB0r55fPNbCxkBQUAj0wYGXmkOvfqRfR6j9x4go0babdbs8dx1bkAeHoRwjURM7qSANk8T31u9NYTuIPd3goAAMWpKWws+2SgcF5nPBa/diaQ4mF+p7Z869QBwMPb6A1ftAvrbkKcSY+GmIViAAh0pV19F2OgnepJ+h4Y1ACAfo856xEAWMqOh/IznQ7Owx3rPHKCcrsdf5eVx5T3waJiXC9lKQEAfzelPWmpwHaztQwB4M6NIdn1ogLh3jYOADoGhJ/dXklFtmauyLYuk+tV8FD+77FlYyk5TbIgALDUnV1yALgoe04CKkODCABN+XIASD6pTCUqFtQoPKlyxFLa5ACAGZTjpZ19+oECwO8cACwNIF77780wAPxJHYq+5wqUl5rI7vxrpmcAHqsHVpPRqgByyvASBwAnUvcwACgpFgdHE1X5SzQg/wkD8tTPdQQA3tUOABfrMxEAdv3CxmupO07MnxMHgLx989iaPeUkX/laSRy68Bz4U/PzatX1PrQ7zT6yko2XvUIBwO1zK7NRUqFp6HLMmQ908qcAYLQ5P9BFTwHAxMZCV5IA28cjCx4+HFKd23ce00aiNvEAQHaLTe4nVOeOjY0hvCznASCUAoD63KgtCAAXO9sBAKAkPZWNZR0LEM7riMPi13MppPiV36kt2zI1cAwA8HAAC0OL/8YceQkAolUAgHX1XYIAkOalpwCgTM0BAHQb2oAAEEIBINpDeeLXEoQAcKmwAQAA7naiRWfFUWWqkQQACRwApC4jdrNGAQCURJOaAgNnu9lWrnT6kdSUjwAgWYRe4nbWe9snBwAin/36LK4z8QN5Z2LLBgIAeUGtbEzk3gMgP6m4TE8qHtx7xMYa8y7Krk8WuAmJXIqeVDliKW1yAMAMyvHSzj59b/gX6Cw6+EOPhaHLKAC8E/CMwtrtPymRRekymp//iukZgJFhK7O1a6U/qTN41YQAdCptHwOAokL/KblPxYsUAH7GgDzlCwIAWe9oB4ALtaksMM7f/Rsbr3meAsDvz1mZLVbunj/Ymr1VxErxenkyduLd/7vm59Wqa71nEQCOrmbjpa+SU5QUl09trjHyeIQFGaEreAAwUgCw/bsOcCG7y4HzEQxDV9MA2zMHhofUO7D2draz+0dvOcnGjdTr3uR+UnXu49HH3LPzABBCAUB9btSm47jj2n0OAABKszIQAI6KAaA9uphd051GdnH5ndrSzWbVe05Uw9cxeC3Zgznyoc7k80UtEAOA1NU3eSkWZacvIL8jvYe4JoO5DW3EwuIQd/I7iHIXAIA5B7+/YpJCNXgOA/Dyw8piYyk1KYFrLJa6XAIApT1pcRTZ0TauwB3tds7rX2r2JUnUJKyvgyuupbn1WiXqtNuQwwHAkBwATOsILOYHIwAw//4dcgC4IKhVGL7PAUCuHACSjkv9BDgAEPQpeFLliKW0yQEAMyjHSzv79B0FgHl6tIZcTr323wp8Bh6PzhwA/G6QLEoxYF1h+o7uzj8D8Eh9Z3UyWu7/CZ4yUPmkH2QAUFBgOy/cHlW+QILXqLl4+pLyJQGA7Le1A8D5qkQWGBfs+YONV9P7xfz2byuzxcrd9Stb81Id2UW9UZXOxlL3/mZjhanXlQutWOx8fA0bL3mdAoDzJzbXeDjMN+LiAMCZAECAkzgQ5hXgQmFhPl4bthp32O/fUy++7GnH5lHRW3kAIHn8Jjf1IP7ho2Hu2XkACKYAoN7FOHIjAsDVngsAAFCek8XGMo6ITz7aIzn3mwySfsHv1JZsNKvec6IauooONqV7EQDCKABE2gCAlGUIABkLCQD4CQBgbGyM3Sd/EwJAqHuEKgA0BWTjjnUZsbm8dwHTc8oPKQN6KTUpcRECQBoFAIObEhhYTjuX0iLr9nt1HADkIgAM3ycAcJlz15HsNbUq20Q6HQdvRgAQ3ZN93rUUAELb2Jiogy+A2K3o4RDCeUNOj+x6qaFY3EFsKCZKmXpS5YiltMkBADMox0s7+/SNkQS1f3EAsDKQeO2/GfgMPHqsXsA43fqVAsBPHACsMhOP/hfMzwI8VN9ZnYyW+X+MdQZUfpmHGQDk5akHVhNRFd2Rj/oFT1+Sv/oXCWjf0g4AXeXRLDAu3P8X3o+eOMT8OnEAyNk5l615uSkbAAAGarIQAPb8YmOFqdflc80IAKfWs/HiNwhEpcz/2OYaQ4N8Iy4MogOdDRQAbKd7BbjQdKH5eFoQthYB4O7t66pzz59pZtfFbD/Fxv2diNWlyfWU6tyh++i/H7YKn93flXaXnafexThiwzE2t7+P5FdX5uWysfRD4tqHtnAsfu3JIruvw1ygVrzBrHrPiep+3zUEgP1YJBvmQoLmSC8xABhdE8HbKw9Sl3MAsNhIAUDpzz82igBQsAUBIIwCQKS7sidCoz/C0tUKkuN+7yLuzpcdVAeAJA4A0tfleW4AACAASURBVFeoA4DkusO72nRUo2vUzcvyf//qs5W78aIGW1qVFUABYEs5fg+5ylMH9nnXkNOiwrB2XMOfAEDotnEAIOhX8PABvld1WRdk1yccrSMAcAgBQFQ0/aTKEUtpkwMAZlCOl3b26WsKAPP1L7OxVYFkB/z1wGdgeGR6Cm3tkWRR+jPnULTK/CPoLDp4zvwsjD2YXGMbNS01fshOQCTps48xAMjOVd+VnYhqaE5+1K8IXxIA5E4CADqLI1hgXHTQiY1X0pqDmF/+pT5ZRTnbfmRrXj1dAAAAtxvz2FjK7p+tLzAN6utsRLcjn41svPhN8h2m/PWhzTXu3sY0k7A1PADQvH4nk5XZRAEutGB4Pu6ah69Dl53bN6+pzj3X3Miui92BYOnvFEoBQB02B+9icBfOPbu/m4UCgHoTs/B1RzGQvHYFAACqijCvPe2A+JTrTGg+u+Zibh0AyAO1onW2vy97da8Hd7vLD2KOfDgFgAivSOE8gxtxM0pbgYF75hICAL4eyg69IyOYSlW4FaEi3J1AWISbEgAaDJguda2G7HAP8cByQJnTH+BGaxMWIwBkrCSfRS9oGFcgcN3prMV73OgblF0vK8gdJv9uX+3GLs3nm9VB1B6JgvemfAQAqe6Afd5VBACKwjkAoBARwkEEAEB3o7Jj8chD/L3UZcoBIP4wAYD4w3VsrILapvosdADAbJUDAGZQjpd29ukrCgDO+lfY2JpAzIF/8GjmAOBnWqD8CwcAay0/s0B89P7kbO3UtMRIaiDe5gDAP+cku29mtvXmTPaqlrryRP6OAJD09b9J8e6b2gGgowD9+YsPoz9/xcvEHz9m7sQBIHvLD2zN/naSAnCnGe1GU3b+qPl5tar3LDY8y/PdzMaL3iIAkPznBzbXuH0dA4/wtWibGehMnX2czDbXCHAhlqGm+bhrHr4eAeDmtUuqczvqsbNu7C7csfd3CqEAoL6Lf3sA86Yj1vIAQJqYmeapNzELX4sAcPsmCQxritHbPnWfGB5k7jf5pPj1EReoFa6dOgC4240pNRWHcUc9woWccIR7qgEAcTNKX4mBe9ZSfwoAWYrrRx5gClPRNg4APAgAhAsAoN4PAaC/9iwAADzgUpZK9iltPf3daG3CEgSAzFUUANyVrkGS646Jc93pqkMAuN4rBwCRJee1CwgA3U2TA4AMgzJ9R+Q8xD7vSpIuVhR5lo2J0ogAAM41cABwkQDA40ejbKw247zs+rhDteDtlQcJRxEAWOM0rzx40uWIpbTJAQAzKMdLO/v0BQUAF/2rbGyd6XPQWXTwsulZuP9wxMrs6dWPAovSdZZfWCD+6O7kjrTVtNhIbFDf5VyQAnO92X0zsg5bmW2/JF/+yD/w9CXpGwIA+W9oB4D2POzQW3IUO/RWvEIAIPZnnZXZYmVt+pateaOD5H4PnilnY8k7vrexwtSrp7UaAUC/lY0Xvk2+w5Q/3re5xs2rmLYRsV4EALZdbfwZAOCuecQGBID+vh7VuW01Fey6uL8x2A9woh1iXdR38W9c45uI8QBgogCgXqsStgYBYPAOAenaMizwTd0rvq+s+LWoEQDkgVrBmqlxyAIAuMO76hzBFBkJAMJUAEDvRtyMMlZjU6/sZQQAfDyzFdc/vId1IMU7cM0IjzAKAKGKOXU+aRiIN3QAAMBwPwJZ8V4RANDUJBkAENDzc1e6E4lcd0SBsqSaNGVTrv4etFI919Av/L7sVYbAwUfWe+CW3JTBuIIAQHEUAkCOVEi8SQ4AIrB5/Bjfq5q087Lr4w4SAEg8Vs/GqlKwD8PYDNau2SNHLKVNDgCYQTle2tmnz/2fBZ1FB27619jYBtOXzAZzcHjmAOAHgUPRhqDfWCB+/9bVabnvQuO7ChtUc74fu29axoEpuU+9jgLAn3j6kvgtBYDXtQNAW5Y/C4xLj3ux8fJXKQD8NHEAyNzwDVtz4DxxPbnfjgF48rZvNT+vVl1oqUC3I+MONl7w7nMEAH571+Ya13oxbzpyI/rmm1xIcy9/ewDAme64z8cd98iNCABXe7pV57ZWoq9+/F6cH+BksQkA165g8BXJwUuAGwWSeeoWpmGrEQAeDJKAq76ylI2l7BGfPDQHcsWvpaT4dZQL1PJXTx0A8L76VccwRSbSlXw3YR5iAPBzJ8F5JtfVN2d5AAWAHMX1D+5gw7GSnVF4HwoAYa5KAKg9hZapN1uIi9LDm1hwW7xH2dnXSFOTUpciAGStkQBAWZwsct3hU2WkXHlJ1akYAI/SAPh6L9a4dNWrp6LZI/TwRwA4U6LemMywnJwolUR34GeykM9k2Vgqu1aU2jTK1WZUp8r/DsUeICdnSccRAGrS8PM/nsHaNXvkiKW0yQEAMyjHSzv79CkFAHf962xso/krVmh758H0eO3bo++MBAD+5ABgY/AfLBC/e7PXymztWmB4B3QWHXzAAYClwMjum5K+b0ru0/AsCV4j5uHpS+J3JHgteE07AJxJ90UAOLWIjZe9RgHgx2etzBYrc91XbM3bvaTocaizgY0lbflG8/NqVXdzCbodBexi4wXvUQD49R2ba1w5j2kDkZwPv8nFhwKA7a7P/s4WCgAYrEdtRgC4fL5Tde7pUtx1T9iHO/YBTmYKAOq7+Fd7cYc8aiMPAAEUANQtTENXHWFzHz4ggVtjTSUbS94trj3gi1+vlJP/B/gi2rxVUwcAA624o13NddaNogAQqgoA6eDtlQdZa9HTP3clgSJvz1zF9UMDGCSX7uYAwFMCgDDFnJoT2DTt5pnzAADw6Dam2xTujlPMMbglg7dXHqQtQwDIXksAwNddWZwsSpfh3XKudssBoCoZ32XJvvnGJfxsnbWTAwBRF19ZY7JxfQn0ywgAlMYgAOQJTjUAADpqlMXNvDtTVYocAGL2EwBIPtHAxqx1JX7S5IiltMkBADMox0s7+/QJBQAPwxtsbJP5a1Zoe/v+zAHAt0alRenm4HksEB/oPz8t9/U0vAU6iw4+8kcACC4KZPdNTP17Su7T9AwFgL/w9CWBAkDhJADgdMpJFhiX+yxh46WvUwD4YeIAkLHmc7bm3T6a8tB9mo0lbv5K8/NqVVdDIbodmfB3kv/+8wQA5r5tc41LnWcxiOZ8+E0u3hQAlPnf4+XvTFJSTE64ax61BQGgt7NddW5TMbrqJB7AGoIAJ5LGE+isDgCXujHgi9rEAYA7dSX6Sz0YD12JJwCPR8gpX3NdNRtL2iV2H2rQc8Wv1WjvKI3lrrRtm2qvbrZgk7SaU5giE0WLnEM8ooTzpK6+2es4AFhlUgTHku73Y+Be9nc03seTFGKHCgCg+ngym3OrnRSojtzFYLtwlwgAaG3CcgSAnLXkHqLiZFHBrMgvXxLLgV+AOfA3L6NTVEfN5E5MU71JwXrUHuy+28b1JbjdL7cl9VtC3u2yWARgUTdhAICz1VjwPXAF3Y2kscqkc7Lro/eSdzX5ZCMbExVBP6lyxFLa5ACAGZTjpZ19+iiAAICn4U02tsXyLegsOviX+VkYuPfQyuzplcihaGvIXywQv361w8ps7fIwvAk6iw4+4QAgtNjC7puQssvKbPvV/E8KAE54+pLwAwlei17VDgDNScdYYFyhX8HGGQB8rwEAVn3G1hy8TgKeRz3YiCtx45ean1erOurQhagoCE9l8j94gQDAz2/ZXOMi58Mfxfnwm1wlAFCmf4yX0TmYAgDumkdvPcXW7WlT//eysQCLahMPYcpOgFMgBQD1NJ6ezg42N3oLV7/gbrQJACEr6AmAZw4LiFuasCA5cYfY6areNx0BoA5zu6VGWjkrpg4ArjcgnNX5YIpMNAOAaOE8Hw9ySsF39c1bzQHAuPzwwauYulO+Nwbv40WC8xDXcBivqiNJGPh2kpPI0XsYbBfsiFXM0bvT2oQVHACsJ/fwERQnZwpcd3rOIABIHXMllVMXHF/OBWfgCj7T2aorwu/LXiWfJAAQvRcBwFpfAt/FxDGqPL6LjeVTZyPTWjkAqK3js4DWgCR2ya6P2kMAIMUbAUBkg/qkyhFLaZMDAGZQjpd29umDgGdAZ9GBlwF3S7davsMg++4DK7OnV+hQhACwLcSZPdvVvjYrs7XL3fAG6Cw6+NQfA+Xw0mB23/iU7VNyn9NPk+A13BlPXxJ+JMFrySvaAaAp/jALjCuNq9h46RvPQOtTT0PcdxMHgPQVn7A1hwZIIDFy6RwbS1j/uebn1aqz1dnodhSCdRn5H1IA+OlNK7OJeB/+6O0YwJtcT1EAUO7+jpeRNqYyO+GuefR2PAHoPt2sOrc+G3Pqk45gyk6AE9nFD3BWT+M539bG5sZsxfoFBACz6tyQ5RIAYFHsmZYGBIBtYgCo88bc9+tNGJT5eJLPkb186gCgvxa7JNf7YYpMDAWAYHcVAKDPkst19c1fY2ZrjY7LD7/bd5P9rGKffQBQeTiRzbnT3QcAAKMPHjAQyt8eo5ijl2oTViIA5G2gACAoTmZdcznXnYtt+Kx9HQOy6yUffL/FBWzs1jWsb2ivnCQAnCDvR8x+7L5rrS+B70ICABUJ+J4U0N4GgWuKZdeqnST4LlJCBABA5N9V4O2VB6kcAFjrSfCkyRFLaZMDAGZQjpd29uk9CgALDJgvvT3oBxbsXrk9Pc227NEX/pJDERbJ7gh1Zc/W29syLfd1M7wOOosOPucAIKI8nN03NmnblNxHCl7DXTBQjacAUPqydgBojNnP1q4KWMvGS96kAPDtM1Zmi5W+/GO25sO7NwEAYOTyBQSAdZ9pfl6taqvMQAAIO8TG8z56kQDAD29YmU10rhGD3pgdPACQAN7orAz+xsvoHEoBAIPmmB14AnCuqUF1bk0mptQkH8PgOdCJdiJ2Vg+ou1pa2NzY7RwAeBgoAKgXMAcvO6LYeW5vxfUSOKDgVXsSc99vtGBeti/ddc9aOnUAcK26ld2rwYApMjHuJJgPclcG2QB4GpHHdfUtWIcAIDnkSLpzEfPqqw7gzn3MAvJ7DXZVNhyrOJjA5gz2kMB67OFD8PEg8JG3TQknUm1C5ioOADaGsZOY8Ur3U7ru9LZj34pL7XIAEHXCvd0/xK5vK78s/L7sldR9N/YAAoCsePeS3JZU2r3n03cKw5XNzQAAWssQAPhaAlEaEQBAxG4KAD5NbMxaT4InTY5YSpscADCDcry0s0/vUgBYZEDHlJ1BP7Fgt29geppt2aPPKAC4cRalO8Pc2bP1XKi3Mlu7XAyvgc6igy+MCADRFZHsvtGJmyZ9j9GREQQAV0xVif+ZBK9lL2kHgPrIv9na1eYNbLz4bQIA8d9MHADSlnzI1nw0RH26r/Wysfg1n2h+Xq1qLUvBYucItMHM++QlAgDfv25lNlEHl/ceuxtz+M1uEgCIu83yMjqTIM7sjAAQu8ubrdtZX6c6tzoVd9RTT2DKTqAT7UTsrJ7G09GA8BK3AwuYAz1oE7O/1AuYg5dKAICBdWcHBtxxm8UAUMPlvg+0YXMmPw8CMplTCABXyk+zezX6I6jEeqgDAF84mr8Zf3eF6y1sfHyB6K3zuItddRBz92MpAAS5KN+BsgPxbM69S6S4duzxY/Ch9Qe5W5QA4Eu/o+zV+HvJ3xTO1hlfm8Bcd3Zj0W1fBwLAxbabsutLoklKmGFZIRu7cwMBoLWsT/FME1HCUQIAfPfdrnrevlNuSyqNVyYjABRFkLQu/1VFsmvPlIrdhESFxAAAEbsIAKT5IgBY60nwpMkRS2mTAwBmUI6Xdvbp7UACAIsN6Jm+K3guBtnXp8dr3x6xAmXOonR3mCd7tu7uaiuztcvZ8CroLDr4kgOA2KpYdt/IhPWTvsejoUEWvEa4YfpV3FwCAOUvageA2vCdbO2aoC1svOgdAgAJX2kAgMUfsDVHR8jx+uPrV9hY3OqPNT+vVp0uSWT3L4vG4Dv305eh9amnIfW716zMJmqrQh/+2L/RxQcBQOw0w8voQoI4izMG4XG7EQDaa2tU51YkYUCd5o1NtAKdaBDvrN5Yq60Gc/bjd2P6kcmT9jCYr17AHLSEFAHz7jPd3Z0IAFxRMS9R7jsAgJ8H2d3OWDJ1AHC5FNOzmky4Qx5HAcAiAIDHXFffgq34uyvaGMTGHz2UA8DAOcw/rz7MAcBCAgAWF+U7ULYPAeD+ZdJga2xsDHzdSZCfs0lZoMyKk9ciABRs5gBgXG2CVHTLu+5c7sR6hYtn5ABQHEWCa+MKDK7v3sQeB2dKJgcAou67sr4EPQgAag4+xZEUAFaOAwDOTnRwAAGAWYlGyQEgfCdxrErXY3qdtZ4ET5ocsZQ2OQBgBuV4aWef3qIAsNSIXVP/DvmVBbvnrk2P1749+pgCgCdnUbonYgF7ts6uciuztcvJ8AroLDr42oh++Yk1iey+YXFrrcy2T0ODt/AEwANPX+J+IbvXlS9MAgBCt7K160K3s/HC954lBbtfagCAhe+xNYHuVD4e6EcAWPWh5ufVqubCOCx2jsX0ndzPXiEA8M0rVmYTnS4rwSCa8+E3u5+gACB2muFldIkgJwAuuGsev8cHd14rK1TnlidgLnmGL6bsBDrRIN7ZrDr3TCXadibs4QHAlwKAegFz0OIjFACwuPbCBXQVit0o7nZdeQhTX6TcdwAAvQfJb09fPHUA0FfUyO7VYkH7zngKAGZ3ZaHtyPBDNqdoOwbuxZuD2fjDB/IC0ZtnMfisPYr+/XEMAJTvQOneODbnwTUMxH1pmk/2RiU0SMXJOWsRzAq3IACMr00QFd1eOXebXX/htHxzhu2uc8H1vVvD+B0WqXektkei7rvnmzhb0vN4Wqzm4V8SRU4pjMsLZWufLhYH76JuwgAAYTvIu59hQACw1pPgSZMjltImBwDMoBwv7ezTGxQAlhk/YmN7Q7DZ1tnL0+O1b48+pA5FXnrMkd8bsZg9W3tHqZXZ2vWX4WXQWXTwDQcAybUp7L4hsauszLZPgwNXEQA832Pjcb+Q3euq57UDQHXQJrZ2ffhuNl7wPgGApM//OeE1Uxe8C61PPQ0tT+Nzjd4eQABY8YGV2dOjxrwoLHaOx+A994tXofWppyHta9sA0FxchEH0AbTcNLsfpwAgLjTlZXCJUgBAwj4EgNNlZapzy2JwJzlDj7nhgU60EZlzkOrc5lJs3JWwj6tf8KJz56vXLwQtIgDg54b++r2X0EUlZv0R4byKg/i8d3twc8BAHW7SFk0dAPTmY4rT6SC0toz3JI4+Zjel1Sbf1bdoBwbuJVtCEADGOcTcaMPc8bpj2ME3fhEt7hYAQMnfsQgAN9GO08+NgFD2BmXakFSbkLsewaxwawRbZ3xqUpKg6PZqN1qWnm++Lru+MEyZX3/vNgcAhZP7t1zUffdCi9iWVK2Lb0mMMk0JAKClENN37t1GAAhYRfpkFIbLrXTDtpOTu0wj1oFZ60nwpMkRS2mTAwBmUI6XdvbpNRMBgOVGTOHYH4rNttp7z8/Ys71PAWCBAXPk90cuYc92pq1gWu47z/AS6Cw6+M7wLzaW1pDB7muJWWFltn0a6L+IALAA06/ifiO71zX/1g4AVeb1bO2GqL1sPP9DAgDJn2kAAI+3ofWpp6H5nxwADN5h94ld/r6V2dOjhuxwLHZOQrvMnC9fIwDw5ctWZhM15vM2nOjDb/YgAGBwERea8jK4RJOdYldMm0k84MvWbS4uVp1bHIWBZJY/7gybnL1tAkBjITYRSzyA6UsmL6mJmXr9gmWhBADYYffyVQygoteJAaB8H+58D17qx+/AnRQHpy6cOgC4mFPH7nUmFK0tE7wIAJgEADB8B20vi3chvJVuC2Xjw+N6m/SfRvCpO5GI91ksAYASAot34e/t0W1MffFzIyCUtU4JX9L1+RsRAIq2IwA8Gtd0UVR0e+0CAkB3kxwACqjFZiBnsTl0F09EmvInBwBS8y2++66aLenII0zFqs04z8ZZofLSAtnafP7+0F3M3w9cQ97xgjA5AIRuq6B/ZxAArPUkeNLkiKW0yQEAMyjHSzv79AoFgBX+n7KxA2HYbOt0j3oX0+kWK1DWo0PRwagV7Nmazyi7ek6F/jC8CDqLDr7nACCzKYfd1xS9dNL36L/UxYLXsIWYPhP7O9m9rv2XdgCoDFjD1m6MPcjG8z7SkeLYTzQAgPtbZL1nOAAYuo8AsPQ9zc+rVbUZwVjrkIq58jlfv04A4IuXrMwm4m04k48gRFgYACjTTMbL4BJDAMANASDpkB9bt6GgUHVuUXgMuy7bhIEhAoB6Hn99HjYRSz7EpS8tkABAPX3JsoDUAOhdk9nYtetY0Bm1RgwAZXsx8L1/FVNfjO6kliFlCgGgJwtrHNoi8DtMpAAQ6BavmPPgBgbIpbs5ANgRxgWY8vzw/mbsINtwKgnvs4RAg0kAAEU78ff2aBCd0vS02VfmWjkAyIqTN6G1bPGOSDyZuCdPW0k4SgCIL7rt77nLrj/X0C+7XmqyZeKabD0YfMSub8y7qPgcE1H0Ptp99yS6WqnZkj4aRgCoy8Ri8bI4alXKORUByB18HgwiCJnWkhS9/BC55XPIlnICAAEYi1jrSfCkyRFLaZMDAGZQjpd29uklE9llX+mPPu6HwuazYLexe3q89u2RVKC8hHMoOhy9kj1bQ0uGldna9YfhBdBZdPAjBwC5LYXsvgFRiyd9jyvn2/AEYBGmX8X8SQCgXqcdAMoNK9nazfEYyOV+QgAg9WMNAOD2JjlR4J5rbHgYAWDJu1ZmT49qUk3s/rUZWFiZ880b0PrU05D++Yu218jIZEFDynEMXi2eEgAod5nHy+ASRwEA8+aTj+jZuvW5+apzC0IwAMyxYNBocj5JAUA9j782Kxef/SiXvrSQwIO19CWLlwQAuON94xYGc5GrDwvnle7GwHfoOuZ8+7uT4uDkBVMHAOfT0aGpLRLz2pMWmFUB4H4/FsmW7UF4K9+Fufb3b8nTQ67WY+1DozcCUdJSAgCBAggs3B7N5owMca41FAAy1sgBYJRLiSnYgj8r2Ym//+G78ucSFd1e78Vuw13112TX5wYRALBswNTI4fsIAA05PYrPMRGx5lun0Hv/EmdL2svZkj4cGsH3PxvvWx5Pm5Utlv+dUPPwN68naW55Qa2y64M3l1FoxljEWk+CJ02OWEqbHAAwg3K8tLNPL5gJAKz2/4KNHYlwYcFufZd6E6Pp1ptSgbLhPXy2mDXs2WqaUlXnTka/UQD4yfBvNlZwpoTd1xi5YNL3uNTViACwBC00Y+aR3evGZ59W2ALaq3K/ZWzt04mYl5776b/IzvhHGgDAhTxXHXcyMcZZmcYuetvK7OlRVZIRU52ycFc1+1sCKxmfvmBzDZkN50m03LR4HqMAoAwyx0vvSvLiLe4IWylHDZgCkaV+UpUfhCkgecFYOGpykQBAvRFZdTrCS+pxPL1AAFA/vbB4HaMAgDnvt+7i7nnkqkPCeSW7MPAdvo2+7wHupJg5yUvdtnSi6k5Bh6azMZhGlbSQAECAW4Jizr3LmJJSvo8DgN34PQ9el/vVX6nrYj9r8sWUqKRlBAACBABQsA2/h9GHmLJicCMnIemr5b+3kYcYEBduxdSs0l1RGPiO67mCRbeYcnPjEgJAZ+04ADCTrtZBG7HmRC0Q1yLWfIvz3u/r4FyJWvFESA08KgTdigEAGnIwDWuYq9GwbCQAkGs+I7s+aBMBgBwTjlvrSfCkyRFLaZMDAGZQjpd29ul5CgBrAr5iY0cj3DDIPqvuYT7del0qUDZggemx2HXs2aoakqzM1q5fDc+DzqKDnw3PsbGitgp2X32E56Tv0dNagwCwDJtoRc9/neXaj46NWllBXWU+i9naZ1LR2z7nMwIA6R9O/HQhxYnk1ddytQljY2MIAAvesjJ7elSZ4IepTrmY7pL9PUlXyvjkeZtryGw4fcxsXBQgq0nvmqAAgNTjRrZudXqm6txcE+am54fhZzC5SC5E6nn8lcnp+OwnsWOwZRFpQmZwVj+9MHtIgIPXDN7H/PmIlWIAKNqBge/DQdyxDnRPmHIAOJdUzu7VEYe72smL1AHgbi/aUlYcwM9WsQd32u9euS2bc7nqLPtZsx43FVKWk9+Nv6sSAvO30sDdMwfGHmPxrsGVnISkr5Sf3Dy6j8W4xZw7UdnfCABDN+U++rEHSMoNX3R78zL+jjqq5Q5t2SbSNyF4MwKAWiqOFom89y93oStRD+dKpJZ6VJlETlt8FuTJ1q7PQgDgXZpEO/0AAJYNFAwsCADWehI8aXLEUtrkAIAZlOOlnWUaG4N/UQBYF/gNGz4ehV77VW1VVhaYXkkFyiuMmCN/Mm4je7byOtvpGVr0i+E50Fl0MJcDgNKOGnZf33C3Sd+ju7kMAWAFpl9FO5Pd69NPPw0joyNWVlBX6akFbO3WDCxszfni3yQwfn/iAJA6n6Qm1Twnn3taAgCvN1VmTp8qYr0x1akA34XsH9+B1qeehsyPnrMym6gsjrPh9EMbTgSARCuzifSuZA2LJwJA2kl/tm5lqnqqWo4/utMUReJOs8lVciFS70NQnoDwku7DnV4spgDgog4voiLnBw8wSA1fcVA4r3A7BtIjDzCXXgKABM+pA4DO+DLc7U7EoDZlMWnq5e+m/N3cuYB54JUHMXCv3IuB9u1L8g66l8ra2M9a/NEWNXUFAQCjAALztpD1fDyzZSd1RvoupK2Q124M372PALATQa/sbwSq+/1yMGE59ycw5/7WVVznbNUV2fVZAQQAQragPbJaMa4Wibz3r3QjAPCuRPfvYPFxcwEWH1cmY7oVr7rMC2yc79MQLMj1BwAwryO1AXnBmBqk1pPgSZQjltImBwDMoBwv7ezS2OPHLKhdH/gdGz8ZhV775aenx2rTHr1C6xNWcQ5F3vGb2bMVV9u2aNSinykA/GLAHeTKzgZ2X+8wl0nfo6MuHwFg1ZdsPMrlLTY+cJXtHgAAIABJREFU/EhbM5vi455sjbYszMnO/ooAQNZ7Gk4A5r0itCdt+ScFAI83ND3rZFQWeRxTnUowGMz6mfQsyP7g31ZmE5VEoatNphHrCIJYkaztUyY/mvYR5IV58+neAbgTnZSmOjdLj/70xTEYsJpcCYAYBQWokkpjsSlXpp8Zn33xSZvwgn0OcP3hRxi0hS8XA0DBVgSA0REM1EzuJA0qwUO9cdlE1RGHPRrOJWMvhdSlBACMbsrfze1z6GRUdRgD96oDGGjf7pG75/QWY8fhM4EIa2mrwigAKO+Tu4l8D3wnZQAAIz0NSl0uB4AHA5i6wxcnl+/FmorBq3Iwid6rzLm/dQ0BoL3isuz6TP8W8PbKg9Bt+F09HsHaA96OU4tE3vtqrkQy+1Gu/0BVSjcb58GpNgMLsXk7VMntJ5Nz+wEACJSKg0OxRk2tJ8GTKEcspU0OAJhBOV7a2aXHjx6woHaj6Qc2fioGvfZLmgpm7PmkAuXVnEORT+I29mwFler50ZPRT4Z/g86ig9/0mENec/40u+/JUKdJ36OtMgsBYDWevkS5vcPGB+9r+0+s6KgbW+NsHtpIZn39HAmM39FwAvDHy8IGZU3P0D4Abq+rzJw+lYYfwZOOcgyyM399H1qfehpy3vuXldlERZGcC08Apm0ELSQA4OeWbGU2kR8t/OQBIMPXxNYti1dfI9PXgoFhPAbsJrejih368SqJwqZcWUY8vQhaIgGAOryY3CQAwBMG3rs9bJkYAPI3RwgDOLM7Aan4KQSAs9Foc9qdhieRaUuDVAHgVgfaSVYfxe+z5iC6F93qlqfO9BRgx+FWSxYbT19NAMAgeAdyNpLvge+kDADgTwEgZVmwbPx+P+6Ul+3B32nFfnyuwUtyMGE5994IAHeuD+GzlskBIMNAPkfYdgQAtYZcWsSCcc57X82VaHAA+zGcLkYAqE5FABjlOh/XpCMAPB7B1EfJ75+HDgCAgNW0PwBnD6rWk+BJlCOW0iYHAMygHC/t7NLQ0B0W1G4y/cTGfWKXsvGi+pwZez6pQHkt51BkSNrFni23XN0icTL6wfAv0Fl08DsHAPUX2tl9j4fOm/Q9TpelIACsxdOXSI932fitW/1WVlBX0SFntkZnETqOZH37PAmM39YAAL+TDsXlL8nnNugoALi8pulZJ6OSkIN40lGFO7GZv38IrU89DXnv6KzMJioI5Vx4zAiUQYskAEixMpvIl3q/By1EAMjSm9m6JTHqO/EZ3nhdWSIGmmYGAOqFvEXhGDxmB3KnF0tP2nx2k9tJCgBYY8BbVYYtFQNA3ibqpuMp/3fB4k6eJW4KAaA9spA9z4UM7IabtjxINTAfaMNc8prjCAg1h/Gk52anPHC+kIsdh9uCs9l45hoCAHo3pdlA9gYJANJl4wG0IDx5qfzfpvtX0GGpbC/+TisP4HPd6ZEX9Ypy7u/cQAA4U9onuz7djwBA+M5KNsb/TquSzyk+x0QUslWZjiNzJarD51d7zpo0LtDnOh/LwIAbZ2lHfnIAYB2CI7BDsFpPgidRjlhKmxwAMINyvLSzS3fvXmdB7RbLXDbuF4de+/m102O1aY+ek+oTAjBFxj/5b/ZsWaXmabnv9xQA/tSjjWTTpXPsvkeD/5j0PZoK41jwGrEeT18ivd5n49evaWvcU7j/L7ZGVxnuNmZ+/wIJjN/SAAC/vgitTz0NZeMAoP5fFACcXtX0rJNRUdBe9jk7atFpJ/PPj6H1qach/y3bAKDmwhPMAMC205SvOynGDeYAINsfd/aLItVrVdJO4klBZSrey+x+hO7iq7sQFYRgWkuOGU8vgpedsPnsJldSJ+DvJD9Fk9YLXSIGgNwNBAB8PLJl40Hu5CQl1n3qAKAtDPsc9GSjF376imAKAErAuXkaA8zak/jzumPYwfhGu/zvVXdWPftZezjmpmetI5/Vb1yQL/+ZPL0rwJUE9MlL5CcAsuLk/fg+VB3C57rdLQcTUc692s46AECabxN4e+VBxG553Zb3Avp+JU0OAFhBbiD+/3+jDwGgowZPVm73IwC0lePn4lN9Hj/CQF8tNShitxKCAAAMywkcFkchAKj1JHgS5YiltMkBADMox0s7uzQwcIUFtVuDfmXjxvjVuMtebXsHdLokPcOGgK/ZmCl1PxtPL5o6z3Fe3xoJAMzTYyOpM1d62H0PB/826XvU50YiAGz6mY1HLvyQjV/p7dK0dsGeP9ka3ZWYB535AwGA/Dc0AMAvBABKX5bPrXmO3Cf+r1c0PetkVBi4G086GrFRVMZfn0LrU09DwZvP2lwj18y58IRibnbw4qPCHV6RfN0zCAAsQgDIMWFuf0GoehpP6jGsFahKx3tZGACoF/LmWTh4CcGTnuDlJ2w+u8mFNhpzku9Ue3vmgLdXHoQsFgNAznqyK+47LvddAoAYN7PqPSeqMyF57PNdzEUnnIyVwao789eb0NKz7hT+vO44FntfPyO3wzyXXst+djYS7SlzKOyMT/MBAMhcGy58hkAKAEmLxwEAV5xcwRUnVx/B57rVIQ/oRekvarn1AACp3uQkI/JvOQD4LMwn903Q9u+JJGa9yVlyDlxBV6Kz1ViUzBcrt1fiOF/sO8IV+6oVB4vSoAAA9EsJHJbGdLAxtZ4ET6IcsZQ2OQBgBuV4aWeXrt24yILaHUG/s3H/RLTazKqy7YIyHRodG8X6hMBv2bgl/QAbTy7UW1lBu74x6igAvMzGzvZfZvc9wMGSVtVwXWwjt/zCxiMXfcTGL3afsbKCugp2/8rWuFCHAUrmjySIL3hdAwDMJfBQ8qp8bvXzFAD+tN11d6qVb9yBoNOCLjEZTp9B61NPQ9Hrz9hcIzsAA3XehSd4yVHV4G+8fDyIH3/wYgSAvCDsPJsXrN6RN+UIugXVZGP+udnzMAUA9b9/eSZsblUQjvcIWXGCPfvoqNhK1uQidQuWB6o+HlkEABaJbUCz14UJv5dgD3IaET2FAHA6CBud9RagE07mqhDh7jsAQH99B5vT4Is/bziFBdP9TfJc+M6UKvazzhgEyVya5z/+tAOATw+Sb5CYXEkqVOIi+fd6u+sSgh5XnFxzHJ9roFVu0ykqgFVz1wEASD5JACB6b7Vs3HcxAYDy+MkBgMh6Uy3QVwODuizO7WeYAwAVe1CpEDr5pBwA/BYTACiLw071aj0JnkQ5YiltcgDADMrx0s4u9V3tYkHtzmDMaw9IRqvNjHL13cvp1KORYfYMmwMxRSYk8wgbj8/3sbKCdn1NAWC+Hne1z93oZ/fdH/Szldn2qSIlgAWvUdsQviKWfoLBe5u2Hgz5O+eyNXoaMXjJ+Jnk8Re+NnEASPuJ1A8Uj5tb9QK5T8LvtrvuTrXy9Vvxu2rFXc8M1y/Is75qGwCyDJiqUxyDgVnw0qM0+FP38Jfk45FNAGApAkBBGFdbYApXnZt8CPsF1OVjGpPFiwCAtSLkHH88vSiMxNOLkJUn6LNnwcijh8K5JhdfCgAW2biPBz3NWCgGgKw1oTT4lp8uhFAAiHK1COdpUbM5G1M6inEXPGtNiPAZAACuVrcjAPjhzxt8Utj41QZ5KkxnUiX7WVccNhzLkwqePZV1UOmrxAXCJldyEpKwMEg2fussdrrli5NrT+Jz3WiRg0mIwAJzaBABoCn/ouz6pBMN5BRmf41s3G8JDZZjO2EyYl15OetNtVQftdSg+myx379ag7CY/cQKNYmzQgUA8KWnGuXcqYZaT4InUY5YSpscADCDcry0s0sXL7WxoHZ3yHw2bk7ZysZTS9UbEU2n7g/dxfQk049sPDzrOBuPzT05Lff+kgKAkx7z2i/cvMnuu9fyo5XZ9qksQc+C1+idCF8Ryz/DtJaWcisrqCt/209sjd7TBWw845eXaWCs4QTgR+IgVDju9KDiJQoAv/3nASDPZxN+zg4uRcT9K5Ku9IptAMj0wyLc0jgsGg1ZdoQF0bbE0maWIQAUc+5CWf7qxepJB7BjcGMhBj8IAOopeDIL0VjMKw9dRQHAMxseDt8Xzg100YO3Vx4EOJll46yeYYEYADJXh9Kdb3nqS6hH1NQDQCACwOVS/D8ne22o6unMlcpWDJCN+PNGPwy0r9R2yOacjcN+A91JeJKkZnkKAJC2UuoRIHciMrsSEIpfID8BGDiDue81xxEa6ryxE/X1RnmALmqC9eAe12ArVw4AicdILUPsATkA6JeRfHk+XUaLTNR7Pz8ErTfVin3VioNlHX/vP2Lj5fGd5He6WA4AsQdIehbfDA1AXNeg1pPgSZQjltImBwDMoBwv7exS18VmFtT+zXnbW1K3Y5pN0fQ47djS7cEb7Bm2cQXKUTmn2HhU9tFpufcXRlJ87KJHZ5u+27cRlizfT/oexdEnEQB2O7HxiJVfsvH2ukL1Bawod/P3bI3L7RjQpP/2sjCP3x6l/UABYFz9QPnL5D6Jv7ygMnP6lHtyPfucfedwhzjD8xvqWPRPm2ukeweyoKE8CYPakOVH6e6vMv2D1+goWmeGLEcAKI3F4s5MvXpQnLhfjykdpbj7HLTgEA1y1XsIZPpwFqIJeHoRuvoEBllDg8K5gc4GCgDyol2RpSmvDJp+Mz71JcyTBMuRUwgAjcZMDNorMO0kW6UOAQCgrxQ9/ZsD8OfNhjSEiap22Zz2mFL2swupaKGp1vQMACB1eQgFAHmKlsWVgFCslxwAbrRgkWstV5tQ74vdnPtrz8rX2khTbric++GhETzhyJHXMiQcrQNvrzyIO1QrG5cKZkuiJgcAgWuI9WYB572vVpSsZg/alI8nIQ8GEQDKYgkA6JcUyO4Zd4gAQMJRPA1VczZS60nwJMoRS2mTAwBmUI6Xdnapo7sed7XD3Nl4cPpuNp5YOHX/oU9EN25hgfIOC+bcx+T5sfGITHGQMll95k8AwFWP3vb9d+9hupT5Oyuz7VNhBHrYx+x1ZeORq79m4y2VttNPRMrZ8C1b41o3557y+6tCJx97lPYdaSKW/6Z8bumr5D5JPz+vMnP6lHNsDfucVy9gWkLGwu+g9amnoeJF2wCQeoIrwk3FlJHQFUcoAOTIXEnGa/QRBmShK/F9LE/A3O50H7Pq/IQ9fuy6lsoSNh688DAFAPVC3vRTXK+BZNxVDltznI3fuysuhgx0NlIAkBfSY1OzI8J56StJ4Ds+9UUCgAjXIOE8LWrQZ7DPca0Gg3Z0IlKezlz6/+x9V3AcR5YtI2Zid/ZvI/Zndv923saQI7W8oUQZaijvR17DkQQPkAS99957A9cGjYb33nvvvXeEJwACJGhBEgAB5vvIqrx1O6taQAMQEFCfCP1kdmZVVxeFe/Kee25uLTxPPZC3Gi0E2r0FDWhNQ2A2EIBEkJJlHwSXpdH7D9Ga2PX0OWiNirS9bYNkCcCNqla2V7mrpDZBLfmOJfi+RM19ujeMjz6C960iGROAiLOUAEScxdJB0TIzJwgTjKmCee8HwG+hVJSsFIzXZEKfhgd3QZ6WF0prNzzW40MPue80IelXIe1toEQ65iMssZR5sBCAOYTlpV1YqG8tAl17oCMb90s6LtHZz47Tzq+h/ya47hzyBtvNiEwNG/dNPDkr1/5AIAB2HtDd9taDB0BI9J+bWD05pPueZMFr2Cl49kHbvmTjlbm/3oRKDinbgUTc7IaT8YR/vSoExmYQgM+fEaw1cVCdu1QgAN88Z9a9Tgcp5zax7zl4DeQTic5fy3YtlkPsBdDglyQB4fLbeB5Of8cfK64fewgnoH6bIWguigVpR9xl5X9D4Ufd2OcaSsG/3WfNGSHIVSaBCRche1GUAEGl/zbIANwdkj8J1VlrBQKgReMettSVxuAoTwDixZNvoyZcgY5ULx9g4yO7zhyg0/FyCF7TdstbkRJCSE8mePrXeYN2v04P2YSeXNxVtl5iN9qdAvKZ3CNAAEZu3UNrYtbR56Azsmn1saMEIMQRP4fBsmYI3N0l0iRtMmQ5CvDfVSa5kWjux0bHgUgk4aJhudNyQgjRbhY88wNw5mOqkPPeVypKVpLj1OVAMfTwbciq5IZQAqDegAlA5Hkqawo/DQcZ42NAAEoTOti4kuxoPsISS5kHCwGYQ1he2oWFmqY8FtSeDlzNxgOSwWknLG12nHZ+Dd2SAuUjkgLlmGxPNu4df2xWrv2e9imiMqiIvXoZGxseGYOaBM9Pp32NVP1hFrxGnF3DxoN3fsXGyzOUm0CZQvKWj9ket/rgj3X8z0snHRgbQyQA6W9hApDzmkAAvnrWrHudDpJPr2ffc6gfgqHEdbQGovS5X/+eMedAg1+eCkW4/puBAIyMPFJc/+AenHT6b4WguTQRAs7Yi1rF9WGHXdnnmisg+PRxFgmAcg1C3HlwECpJBqIQsAMIwO0b/bJrddY6gQBo0LiH0MjK4CAvr4tb7yOcfGPpS6ATJQD+M0gAlPTx6XuCFLMz3WmVbE29LzjK1BmgnqAnGzeVqvNJh7l00JrnHYU6jgeDuLFUzFofgQDgHg++dvQ5BDtg6eRAMdQmVKrht6rWp7LxvlzsdS8nuVEKfgkhJOwULZg11suL+0i75poDzUYhkyDx3n90X1KTkA41CUoFufV5vWz83hD8u8oJogRJszEbXTP6IiUA0sJmJRKkVHg8H2GJpczD744AjIyMkO3bt5P//u//Jn/605/Iq6++SlJSTOtSCSEkPDycfP/99+R///d/yX/8x3+Qv/71r2Tz5s3k9m3zO+RZXtqFhcr6bPC2D17LxoNTwWknJHV2nHZ+De09DewejvlasfH4XG82ro89PCvXfldHCYCD+g02NvJ4HJqmeX487Wska8DBJvLCejYeshscfIqT/U3sYGLvTVBIfPcGyATirV4jDYuXkJJJBMbGiP9URRoWLyFpb2MCkLWMXifmyzkgACfXAtEZhNPHxI3fk4bFS0jZM7/+PaPPgAa/MgMKEP23AAF4eF9eR08IIfeGoPlQwDYImstTwMIy5pxacX3oAReQStSC1aHPujMsyFVC7FnIXpSlw+cCJQTgZv812bU6Kyof8rTGBF9tQ33svRwuyF9znUgAsPQlSCAAfjYzVzNUehkIwFAtaL0zJMW5T8ZxcW5XCnj6N/jD79ngA4F2dwa2lKw1wG91LQvcZgpOQKfl4T7sKhPtTJ+DpxEB8LOj2YkgBz803l8AtQlVWiB1td5APq5lYKcbOcmNVP5SGo9dg0JOUAIQY+SY47lNyCRIiIQ5UAvFxLkhUEsw8gAIgLQmQcmSs7Ggj43fGQRZVXYgJQDaTZgAxAjORiEngAAoyaCUrEfnIyyxlHn43RGAH3/8kfzxj38kW7duJWq1mrz++uvkj3/8I8nNzTW57r/+67/IM888Q/bt20e0Wi1Zv349+bd/+zeyZMkS8vDhQ5NrlWB5aRcWSmvSoLttiCQITQennaDkS3Nyb61d1eweTviBRj4p34+Na6MPzMq1VwgEwEn9Jhsbn3jCOhPv0n007WskuO9iwWvM5c1sPHTfj2y8IN68+oukDWAl+uAOnITF27xOT8afNYMAfCIQgOWYAGS+8TfSsHgJif3iGbPudTpIOrYaiM4t+J6Jm+kzrFD9+veMOgka/OocKMIN2HoOTipNHJrcug4NngJ2QNBcmQmykqjT7orrQ/ZdYZ/rbIT/r/qJBMApXbEGIfqUhLxkZbLxoF1AAAZ6OmXX6qy8BAKA701tQ0+9vewvyl+TnXxj6UvwqgCBAPjJrjMHJRfBued2QwcbzzwQzMYnRnBxbmdiCZtrCgI5SaMfBNqdKfiEvBq5DUF2oPBUOLwD3VhSErXGm7g4pRO9Lc7S+dvTAuVAe/wc+nKr4T3TA1mr94P3pCcVF+/KSW6eTEgKYGONCICCZ76XjJTIHLDmWxI7UaVgXKkpV1MR/Hu5fR0cqrICqH2rbgv8GySEkNgrVNIVfAx6GyiRDqWeBPMRlljKPPyuCEBxcTFZtGgROXMGLNkePXpE/t//+3/k9ddfN7GSkMzMTG7M29ubLFq0iGi1yilpU7C8tAsLhZWJLJi+GLaJjYdnurLxgER5LfBso7G9DBpvSQqUUwuD2Lg6et+sXPsdgQCsUr/Nxp48eUJeEAjADt0H075G/BUoYI1x28HGQw9AF9/cKI2JHZSRuA6aiY0MQ/CaYPsGlRZN4mTcGAkfP00aFi8hqe9gApDxFiUAcZ+pzLrX6SDxsCP7nvfvwglt4taVpGHxElL11BKTBbyEEBJ5HCQ4tQXgmBS4DTIAtwaU9cSDPWBrGLgLCEBNTi4bjzyhnEUL3nsZAqWrcNLrt+EsEIAJ+e8QdQLIS00+HAgF7QYCcL2jXXatzsogEAA3NK6xpsG13l6e+CudfIcIBMDXxryslRyKL8TAaXELyEuyDoI05/EDfJjVHg9NvZpDIJhsCoRAuzMJ22QiHX4h/G0rOgNOTnfa+9CayNUiAcB9UgIEAhBgj5/DtUyQJtUaQJrUEAAFyF1JuIGXRnDvkUpuCCHs80UxuJ+BUtdc1sDLe3oEgPUTkDTfUpLjdDdCZqy3BQhAS+l1Nj7UN8zGM/0a6Xu1FROAOFdKnKTdjZVkR0o9CeYjLLGUefhdEYBt27aRP/zhD+Tu3bto/Pjx42TRokWku7tbYaU87t27RxYtWkQ2b9786x+WgeWlXVjIL49lwfTl8K1sPDIbnHb84k/Pyb3VSgqUzwQ4sfHMkjA27h6xa1au/bZAANaol6Pxl/SUAGzTvj/ta8Re3MCC13j1XjYefvgXNp4VesWsvROc/872GBuFACnB/k1aXPy0GQTgQ4EA/B1766e/TQlA/KdzQAAO2rPv+eghFGkm7fiJNCxeQmr+toQ8nlAu4CWEkIijIMFpKIYi3KAdQAAGe+VlNIQQ0t/exj4XtAeC5vqCQjYeccxFcX3QbiAA1zsgoPPfCARgdGxMdm3EUSAv9UVgXyklFb1X5Z1ftNZCIG+NyYnGmkp59HbyPTai1vjInnyHrqYEwGcGCUDRWXBSunsVfoPsw0AAxu7i4ty2GHjuLWEQTDYHQ6DdHo8DbeQ2VAIymZJzUUACm3HX3YhVlAB4GRGAQHvaH8DfDj+HnvRytledL0iTmkJy2HhHfCFaI/r35xr597sKHviFUbizb+BhSgDi3XAtgfcu2k9AaidqDtzW8B2FlWoSuupvsvG+VjiEaC0bYOM3r4G0LsOH1kjot2NlQ7wbJQCBh+HfplLhsVJPgvkISyxlHn5XBOC9994jf/sbb2WXlpZGFi1aRGJipuYS0tLSQhYtWkSOHz9u1v1YXtqFhezSSBZMu0TAKXRMro6N+8SZ965MF5VNuewezgVBkWxuueSew7fPyrXf9KQEwFn9Dhp/RSAAW7TvTvsa0WedWfCaqD/ExsOP2bLxjCDz+hwkrFpOGhYvIXVLlpAnExNsPN7xLdKweAmpfsoMAvDBU6Rh8RKS8i4mAGnvCATg46fNutfpIGGfDXtWoxKik7TLin7/xUvI6Lh8J1wRYYeBADSXgwQjeNcFCGDaOxTX97Q0ss8F74Wgubm0lI2HH1EmcoE7wbLzRi/IGfw3AwFQkmyGHwb5UFMZnGoH7wMC0N0sf+qrtaYuNnobfG9aqwCBAMjfs9LJd9gaevLtbaPc9XiqKDwDAfj9TjjRzTkC0pzRW3fQmtYoaOrVGgEZnZZQCLTbYovQGiW3odKLQECGGowcd5zoczDYhaDxIAdKAPzs8HPoTgFpUr0/SJOaw6AHQVs0bvznsZaX3BAiH4gTQkjAIdrROMEdFznLNRQzB65C910p8VCy5OysBQLQ3wa/UVvlIDzrbiBvaYZ6+jx35qFrJnjU0IzKIfjNlKxHlXoSzEdYYinz8LsiAE8//TRZsWIFN15fX08WLVpEPDym5tBiZ2dH/vCHP5CWll9vCDIwMEDq6urQf1FRUZaXdgEhoygETtOjdrPxuHwvNu4VMzuFtr+GsvpMdg8Xgtax8fyqeMhahG6ZlWu/IRCAtRr8b2+pJyUAmzT8v8mpIurUKha8JvsAyYo84cDGU31PmbV3vOPb7AQcjQvEoHbJEkJ+RRpjjMT35QlA6t8pAUj4cA4IwG7IloxPQDFo8l4gBg9H5Tvhigg7CMHy1WoongzZCwSgu1nZP72zAXznQ/YDAWitAslH2EHlOpqA7UAA7gxCHUPAFiAA9+/ekV2L7r0GZB8h+2G8s75Wdq3W2l+BANAA1tNWPmuhdPIdLhIA65nrHJ5/KpJ9j+EekGHlHgNpzqOBIbSmJRwC6quSgLo1QjIehQPtsisSt6FqCG7LL8dIxrGUKsyRPgdvIwIQ4kiJla8dfg5dSSBNagiEQtfWqAK4rwh8+u3mLAb6mADISXEIIcT/AM1+JKoxAfDdS6+RrJve323xPqXdd6VNuaSSpI7qG2z8esdd2fGBThhP1VMC4L0bSBshhCSq6b8v/wOQHVEK9JWIwXyEhQCYh98VAfjLX/5CPv6Ydxxpa2sjixYtIhcuyDs1yMHf358sWrSIbN8+uVPTAwcOkEWLFsn+Z3lpFwZS8wNATx8DevqkQn827hl1YE7uragmmd3DpZCNbLy4Vn58JvG6QADWafBJ/zJhfIPmHYWVk0fkcTsWpKYFQI1P1BkobE0yHDVr73hB6lNlJPVJWP0O2/uJCW97OSS+RwlA8vs40E9+l44nfvDbE4D4nT+xk350TwdAGjT8QD54FhEqCZbb62ok4xCYt9cr//+urQZ850MPQjDdWVcP4wfkC2oJIcR/KxCN+7chmA3cBgTg9s2bsmtD9oPWv6MB7jH0IGQG2muqZNdqrIWTfhtMTnRWvgIBkK9bCHeiEiCDLQ58w50pATDYBCl+16ki7wQE+g/6bkjGIyXjuOGT9KS/PQ5Oja9KAu3WCHzKXHYJio1v1Xew8QoXGB+owMF2qINIAILxuEAAfGzxc+iMA2lSUyhcvy3U50+qAAAgAElEQVQWiEFLKNa/sxP3SHzSz4pxjaRBfvvpNZK0tfLjGnkyOBmg7rtGxccuMpIkdNLfBSf9SpmBZB11SfLdi8lZspYSAN99MK4k9VGSBs1HWAiAefhdEYCZygDk5OSQP/3pT+TDDz8kjx9P7g+/JQOw8JGU6wOOOrEgQ0ktDobxyD1zcm95kpN+lzA46S9rgMzAeUlmYCbxqp4G+huNtP5vMmKwfNrXCD9iDVKfYAgQY86vY+MJngfM2jvedpmsC068pDZgfHRqTmBJK+hJf7JRoJ8sEoP3nlJYOXuI3/ZP2UxH8mEncAe6J98IS0TIXgiiu5tB/x1+CIhBa1Wl4vqWCpD6hB2GoLm7GRo/Be9VPqjx3wIEYOQBFEUGbQcXosF+eUeTkL0XJfcOBcRSWVNrRbnsWo01tdLU2xoTABrY6mzdZNeFCQTAOPCNXEsJgJdNsOw6c5B7HKQ+jwaABBWcBmnQcBd+Nk1BoPXvSACtf1tsERtvNgq0Sy6A1OdWE9TVVbnHwyl2Kc4ChdjT5+Rjj79vmBMlAN62eLxNIk1qlkiT2hPh/WkOykRrxMBaeuJOCCFqoTg4NxgTAKWTflEalOiBMwNTgZLUhxBC3FbzkqSrFaD1l0p9uuuhOFhaG5CkoYG+335cB5HiSYmBzx54ZkrFvkrFwfMRFgJgHn5XBGAmagCqqqrIf/7nf5KXX36Z3DfhZz0ZWF7ahYX4bD2c9MfDaXNmWQQb94jYOSf3llMexe7BVaL1r2qG5mVnJc3LZhJise9m7YdoXCwOdta8Ne1rhB/8CYp9wyHYirsE3W3jPMwrco6zfl3WBz9hPbgDjd2fWj+QZEHqk/QRLvZNFGoDkt/97QlA3JYfmNuPFClH10B/gFum7QCD90AQ3dMGAVXEEThFbywtUVzfWAwnu+FH4Xfsa4Pi4ODdyrUcfpug2Hj8MRT7BkuKkPuvyZ9mBu+Ge+9rhyAx/IikrqFM/t6Z248dzk54/uIlEAD5w6VQQfriY4dPuKPWipKiENl15iDnKBCAkSE4LS6UFAffa8NSj4YAcPvpSoGajvYEiT1oMO42Wywp9r0jKTau0UBtQG8h9tAXCYCvPX4O4avEDAkmAFcjwBWqNRoyE50pFfCe+YE7EDpxN3L7YQ25gjApUdL6KxUHTwXSYt+yxA40xyRJkloFpWLfHok96LVmcAeS0/oTQkiqFy8NUrL7VLIHnY+wxFLm4XdFALZu3SrrAnTs2LFJuQBdvXqV/PnPfyZ//etfyeDgoMnPTgaWl3ZhITpDA111E0+y8ewKcAdyC9tqYofZQ4bE7ccjEgLh+rYScAfyd5yVaz8v2H1u1WH53Ts6Or5a0h/AXITu+yfYfcbo2HiCyzawB3Uxr8g57pfXZDvhJmx8D+xBbytbW8ohZTklAImfYAIA7kD8QcVsI27Td7KuRiknoEHYzRumpQDBuyCI7u/qYOORxyGIrisoUFxflye1+4SgeaC7m40H7VS20vXdQAN9V8cUZFkavAsIwDUFK8+gnZA9GOyB7xlxDNyBGooKZdeqbULoib09zk54/uJJCYCNfPOyEAcfeQKwjhIAT5tQ2XXmIPswNOIavQ2nyMgetBkHenW+6UDo0iH70ZkEJ+1NAZlojdTu824nBJS1ntDN+Vou/psXbCcSABzoR6ymz8fLSCLVEgKZibY4sLTszgAJWYM39AcwdeKu3Sz0BwjAnX0NuwS7TyO3n+BjlPwY24NOBWMj8nafhMi7FSG7z17IbPW2AAHobgTJG7j9FKO95YqDlRp+KfUkmI+wxFLm4XdFAIqKirg+ACMjI+T//u//yNKlS9lYV1cXaWzEJxT9/f3kL3/5C/mf//kf0tHRMSP3Y3lpFxYi09xYMO2bDO9YfjX0B7gSOjs6+19DSmEguwdNFNQnNHZWQH8AP7tZufYzzO//UzT+d4EArJJ0CDYXIXu+Z0FqYaIPG090383Goy5vMrGDMuJ+epV2En7eiABs+gCKY29OrUguTfD7T/wMN/yKF/oDpL0zBwRg/TeyfQ1ST4HF6sB1+eBZRNAOIAADvRBER510g9PE7GzF9dXZGexzUacgaB7qhxPQwB1nFdf7rhcIgEMyGg/ZA8F9V6u8aUOgRCY0dB0KiCNOwL3X5eXJrlXbhAkEAGcnPH/RCQRAvgdFsEAAjItco9cLxcM2YbLrzIGS338p0uzj37fWCzr+9mbDiXdXKpy0N0hO2gkxavjVAwdl9V7QIKw7C8tngmzpc/B3wM8hktmkYiLULOlD0JEEmYme7Br4rfQpbHz8MRAAqb0mIYR4bhU6BPsbEQAFv3/WIfiyspTt1zD6EIJr49N1uX4FzcXQ8OtWPxCAvqt34L2uB1lXnAvf8IsQQtIFe1AviT3ozd77bI+WUnjvlXoSzEdYYinz8LsiAIQQ8t1335E//vGPZNu2bUStVpNly5aRP/7xjyRb8kdp+fLlZNEi/Giee+45VvTr6+uL/ktJSTG+zKRgeWkXFkJTLrFgOjAVpADFtemSQtvZ0dn/GpLyfUGeFHOQjV/tqYcOwb7WM37diScTbP9dui/Q3LtaSgAc1cumfZ2Qnd+wILU4FU5Tk3UH2HjkBfOefdzKVyixeNGIAGz5CIpjr3dMac/0NwW3ny+eRePxn9IOwelvzwEBWPcVlToZdTZOOwsyqv5ryg4+hBASuA0C7VuDkBWJOQtddivS0hXXl6dBwBlzFoLm2zdB6xywTZkA+KylBMDNPhGNh+4DYtLWIO/fLu1WfHcITlMjTwEBqM7OkV2rtqGn3l4OxgRAS1yc0onWRr5ZZLA91bj72ePAN2a9v0AcwmXXmYPM/SHse0yMgp2r1LXnZjUuzq3WQVOvvnz4O6V00k4IIfnHIdMw3A/PsdEHftuuNBw8BwoEIMCIAIh9EowbpSl1Iu7Nr2PjtbokNv5YEswaS248twmdff3woZ9eoeNv2ClKAKIu4A7IU8GjYWV9vVzH4qbCPvb52wPgxHW9/S4QoRqoz4m5TF2zQo5jApAhNgjbBgTgRg8QgKvl8G9WqSfBfIQlljIPvzsC8OjRI7J161by5z//mfz7v/87eeWVV0hSUhL6jBwBUHLwWbRoEVm+fLlZ92J5aRcWApPOs2A3LB1s/8oaciSFtmtM7DB7iM+RWJHGHmHjHddb2fhxn59n/Lqjjx+x/fd4foXm3hcIgIPadBfuySB4+z9YkFqRFcnG0wzH2Hj4WfNqHOJ+fJk0LF5C8l/CgXHitk+gc+6vBMbGyFwmNC37EhOAuM8oAch467cnALFrviQNi5eQkufxtdMvgIyqt8t08yP/rSC1uXcHNMmxFzRsvCQpWXF9aRI0kYq9AFKu4bv3gABsPqO43sf5nEAAEtB4+AEoQm5RcPLxl1iFPrgHOuvoM9AhuDI9U3athy110jE4YnmS/hf6vbXWOtl1QXaUAPjbY5/72A00A6C1jVD8rlNF+l5ap+DimIr6WSDf/jL8Hlep4fe4LmnqhU7avfABWN5RyDQ8GIRagyZ/CNo7knExtb8tfQ6Bjvg5RK+lBEBn9BzqvYFMdGfA79lfDH0kqtVAAqVylvJkfJrtJQT66UaBvpgZyDQiBuFnyoiLUzqJPC9fED4ZmHLY0W3hMxIN+UAA7t6A7M1AJxCA9irItkRfpBmasFO4S3OWfxMlAJIOwYNd8G+rrRL2MCWbmm+wxFLm4XdHAOYTLC/twoJfwikW7EZmgXyhqqlQUmjrZGKH2UNMlhbqExJOsPFrNzrZ+FHvlTN+3fsP7rD99+m/QXMfCgTATv3atK8TtOVzFqRWF0Dwl+l7io2HnXIwa++4718kDYuXkLxXjAjAjk/Z3ne6pvZvOOs1gQB89Rwaj/3iGdKweAnJfGMOMgCr6DMsegFfO+PSDvY9e9pNFz76bwEC8GgYpArxl3RsvCg2XnF9UTycRsdf1rPxkUcQMPlvUiYA3mvo9d3t4tB4xCEoQm6oKJNd679J0i344SM2HnseshflKfLZCw9bWkhrcDIiAFYeAgHQy64LEAhAgAMOfOM3UQKgsY1S/K5TRdpu2pXY1QEH7NIgf6AYB8FScnCjAqRTvXmSk3ZPfICWezgY3oFbQKRagkC205aAA1M/G/p9g5yMiNBab4EIRaLxWj3Iia7lgJxooAzcoird4T0zJblRkvrIBeKEEBJ5jnYhDj8j/x5NBqY89uUyEvV5vUCsh+DdvNEDwfvVCji9jzwvf4/ZAZQAaDeD4gGRiGrIIpgqnJ5vsMRS5sFCAOYQlpd2YcE77hgLdmNzPNl4bVs5Gz8dYD8n9xaZAfUJfkkQQA3c6WPjhww/zPh1h+4OsP0PGu3/sYYSABv1q9O+TtAmOI2vL4EgLTvwPBsPOW5r1t5x371Ai4tfNSIAu4F03Lo6NT1wzlKBAHz7PBqP+fJZ6mS0bOrdhaeLWEf6DAtfwg5EGS5QR9HZYjrokbrwPB4DmUmiq56N50cqu63lR4MjTaKLFxuXarj9N55WXO+9SiQA+BqREheiutJi2bV+G8+wz4yPwwl53EU1BEIJSbJr3e2ojt6wCsuT9FZuAgEwyK4LsKOBb6CDPxpP2EzH1XZT605vCqk7aa8CNwf8Haq18jIfQozkQbUQBPYWNMAJthZnW3IOAgEYuQ+n1a2hULjbGoN/A18bKnkKXoUJQNx6mgHQ2GEiVKNLkr3nwaqrbLzCBUggktykYcmN9y7q9pNqVOwrJ8UhhJCoC+LpuvkE4N4QNN+qz+1Fc3IZibqca+zz92+NsHGpfr+1DAhAxFlKACLP4SxFThAlSJqNQAD626COQCojIkTZOnW+wRJLmQcLAZhDWF7ahQV9zCEW7CbkQyFqU2cN6Oz9bebk3sLSrkB9QjI4ldy6PwQEQP/tjF+3/0YX7G+UYfhUQ8etPKZPAAI3gB6/qRoKNfPCXIAAHPnFrL3jvnmeNCxeQrKX4qA8ae+XbO+hZmVrSznkvSIQgO9eQOOxXz1Hr/Xab08A4uw+plKnVzAByHTfx75nR6N88CzCd6Ogo3dMRS48KWoDCzJyQiMV1+eGgYNMsrs3G5+YgNNIv/XKBMDgRAmAh200Go86Dk4+1QXyhby+64EASO894bKWjRcoZC/c7Wig7L3aOAPgKhAAb9l1frY08A1y8EPjiVsoAfAwymRMBynb6bWM6yNqJMW5vTk4w1N6ERyCbjWCdKavuAmepxo/k+wDgWxu7CGQwLZIcHhqicRuSj42lJyErsJEKH6DjywRkmYt+iXSpJt1HWy87BK8Aw/vQwapOgMTACW7T7liXEIk+voTOIsxFdy9Ad77Dfl9aI5lJAxASGqzetjnh+8AAVBy8Ak7RWVKxnUKuSEt9HmuB+vWvtbbbA9pITEhkp4ERs3T5hsssZR5sBCAOYTlpV1Y0EbtY8FuaiEUs13taWLjx/zMC0Kni+AUqE8IToUOq8Mjw2x8v/7rGb9ul6TG4KhRjcHnAgH42eOVaV8naN37LEhta4A/zIVRajYedNA8iVOcEJRnvW5EAPZ/xfYerJcPKpVQ8JLQm+DHF9F4zDf0WjlL5yADYPMhlTq9ipuTZWkOsu95tS5fYTWFz3qRAGCZSarOlwUZWUHK1pZZwaAfT9X6snGpHMF3rQkC4CgSAEwyok9JdPzZWbJrfdZRCZCxRCbJ3ZOtzYuQP5F3s6dSGR9nowyAtYtAAHxk1/na0sA3xNEXjSdvpQTA3aiWYTpI3uovu2edD2jzezJwJqv4HGRk7rSCVOV6WSucqLvFojVZ+4AAPH48zsbbo6F5V1MYfo+8beiasNVGmZCNIgHA16iUNBUbLAdp0q0msIstPQ9ZA1Oae6WGX2oZO05CCIlVcNiZCm4PyHvvE0KI924hI6EHAlCdAQTg4b1R+X0KgUiEnhScii7h3zMvjP5uHmsz2ZiSlSghhLg7Cz0JwnFx+HyDJZYyDxYCMIewvLQLC+4Ru1mwm1kC9n1dfe1s/Ijvv+bk3gKTzkCBcoY7Gx8dH5UU6X5hYgfz0IZchnD240uBAPzL4+VpXyfQGTz5e1rh31NJnIGNB+7/0ay94wRZTqaRLCflIDgPXa/OnNKehS8KBGAl/u4x3z4vBOFzkAGwoiQq9zXcmyBHd5R9z9ZqZQtPQgjxWSsG0VhmkmEIYEFGhm+gwmpCMvxBPpKux3IQF0da+OnrfEpxvcFBIAA2uGg09iwUIZelpcmu9Rbu3fiEPEXjzdZmB8tnL1wdqCTFZ60xAaDSI421n+w6H1sa+IY6YQKQso0SAGO5znSglFVo8APr1e5ULGspPB3J5u5JPP0HKtuAULlgUpS5B37riQnIpHTGQ5O3xuBctMZgQzsph6/BBCBpMyUAHvY4y1DuAtKkG9UgT7lzFbTyJWfhtzKluffbT+8rSVOLxj2Ehlx5YTj4ZR77R0xnw0xB6eSeEEJ8ZAhJVRoQm0fD0OBOKZMg9iqIvYIL3vPDKQFwd85kY6iZWNMt9HmPdcIzCJW3zp0vsMRS5sFCAOYQlpd2YcElfDsLdnPL4fSpf7AXZDA+5gWh04Vfwkl2D1FZYEmIbDo9P5vx6zZ0QP3DKX/cZ+Ar9TNEZVCRleqXpn2dgNUrWJDa1wV/sMuTA9h4wJ7vzNo7/nNamJvxppE//hHoPXCtfGqBWvHzggToJ5z9iP2e1hvkvzwHBOBn2tk4e5kRAfA6AfKqCvngWYSPs3wQnekbBCf7Xv4KqwlJ9YHgMcsHN8dydaBadZ81yhkAL3tqQ6o28s+PuwAynuIk+d/KmzkI4WAz3csPyIuffPbC1YHKaHzXGUmAbC4LBED+O3vbUsITtgoTgLQdfrLZiOkgYZOvQADwaXpjYBb7fh2J+FS74AR4+g/3gkPMYC1IbcovY31++i5/NieVUnUnF7Px+gBMJL1s6HOIXIuJUvIWX9msRRnqXdDBxu92QsOsotNAAu/fAs19XQ4mAP4Hi4iLUzpJ9MC9CdycBflLBCYASl12pwIl7T4hEkKiBUJSmdrFPj/y8DEbV6olCDpKn3WcK5Z0FUTSGgm31RlsrLsBLHZ7W3BHc7Ugg8oNthCAhQgLAZhDWF7ahYVLoZtZsFtQCUHEzduDILPxNi8InS584o6ye4jJ8UJzz7JGXR/LL54GalolDkgBq9Dc1wIB+FH9osLqySPQaTl0q70Of+Ar08PYuP+ur0zsoIyETykBSDPy5k8/9iPbu7t4asWaZc8KGYBflqLxmB+p41DBS789AYhfSUlU1pu4OVmuz2n2PRtLlC08CSHEe7V8EJ0TCN7wyVp5OQwhhCTrQSqU7Y+7v7rZU923z2oTBMDuokAA8Nr4y1CEXBgXK7vWsIbeu7tRgJzpC5KWNIN89kLMTvitxxkAL9tLAgGQX2ewpd78EavwM1EKoqcDJT19c0gOu1Z7HA5q847B7/ZwEILDmw1wIl12AROAtB3+AnnB78q1NOgeXOebieb0NlT6FbUWE6WUrb6ymZCSCyBNut0Mmv77127A73wSSCAKlPNw0W3gYRosx7vhYNlV0L8XRmH9e5Kmlv7W++W7Qk8GUveetopBNOd/gBKARDUQkvLkTvb50UdAAJQyGwGHKKlJcMekpihayNysAqOErrqbbI++q3fQ51khdNDUbI5/a1hiKfNgIQBzCMtLu7BwIWQDC3ZLa6E5zv3heyCzMXxjYofZg1fsQXYP8Xk42HhBIABbtR/O+HUrGrPZdS8EOaO5b9XPEpVBRb5Xv6CwevIIdHibBan37oCOtS4nGgjA9i/N2jvhE+rNn7rcyB7z5M9QHJs/tY6t5c8IGQAb3AMhduXLsk3HfgvE//gOlTq9hXsT5PufA4elQmULT0II8V51VjaIzg8DKUmih7wjDiGEJGlBbpMXjGU8bvZCoa2Tsg2oly0lABqbYDSe6ApFyPlR8taahlXyBcQ5gVCXkKLjpTzjE9Bkyn8jzgAAIQnm1hFCiN6W7h25Gv+bzNwLmRCpI9F0oOSo0xqRx651NaoAzeUege8+cvseG7/VAq40pefw76RUbNybBd2DawzYTtVT6KQcvR4/39TtYiYEk4mis1FsrzttENA/GAA5S/4x+DdpquiWyWVcQC5jygIzWUctUH334mc1FSj59xMiH7yXJULG5fEo1FU8vCdf2wAkAsuaimNAuiUSy44aIE397ZgA6DYLVqgB2Ap1vsESS5kHCwGYQ1he2oWFs8FrWbBbVQ+FhiMjIyCz8frHnNybZzQUKCcV4tPIV/SUAGzWvj/j1y2uTYEuyMEb0Nx3AgH4Tv28wurJI9DuTRakPnwAnTKbCpOAAGw1T+KU+NHTpGHxEpLyDiYAWWdsQBufqSxrkUPV0wIBsMNdkGN/ol2Hi5+fAwLwPSVR6ctxb4KCoIvse9bmRSuspjA4iQQAnzIXRoFkI97VU2E1IfEeEKgXhuFA1d0uRiAAyp2A4cQdy4eSPSCzkBsmT9a8nET5ENb554dKyQvv5vNoBE6XAzYbEQB7+YyECE9bGvhGrcH7Zu2XFNKOjMmunSpiFJpqXY0uYNdqCcfF7NkHoXvw2DBYet7pAKlN8Wm8X5JYwGyHyWJ/LnQPrtJjKZnOhkqNYjbgf0eiFMrFEXcbltYm3O8CDf2jmxBY5x2BZ65ULEsIISEn+IJZaROs0njcBCtVX0/fw92mC+JNQamDLyGEBB7h5Tul8UAAxh8DIVSyN/XdJ9QRaDEBKIlrZ58X6zPaq4EADHTeRZ9XaoY232CJpcyDhQDMISwv7cLCqcBVLNita4Y/DhPjE+Q54ZR9u37mC20nA3XkLnZvacVYx/ya51NEZVCRjZp3Z/y6eVXx7LouoVvQ3Pfq54nKoCLfqJ9TWD15BNosY0Gq1HmktSyLjfttNk/ilPghJQDJK7A9Zs4FB9DGp8k3elJCzd8EAuD4JhqP++VV0rB4CSl97rcnAAnfUhKV9ndMyApDwUq1Jjvc5B4Gh7PCKToO3ktioaFU3GX5rriEEBLrCo47xVG4WNXDlp76ejucU1hNiJeNSABwAXGKFiQ1WYFB8mudxGAdE4SiaCl54X/n+/fARz1gy3m8p0JNggidLbU9jVmLCUDOIXkv/ekg2pkSAE9b/Bu2xxdBcBySg+ay9sN9jI8CEbnfMwhE7ST+bgmb6bM2du4ZKIDuwZVaHNBrhE7KcRtxBiBDQQqVfxIIgLQ2YeQeBPo5hyDrgopui3HRbfhp3jLz8RhkdcoSO9Dn07xpDwTDzqk5f0nRdxXema46bL0pl5GQC9wJwQ3OKlKgwZmStakckWirhN9ysOse+rxe6EmQYdQleb7BEkuZBwsBmENYXtqFheMB9izYbW7HDVheFE7Zt3p+Oif35iYpUM4uw6ezywQCsF7zzoxfN7s8gl3XPWInmvtR/YJAAJ5VWD15BFq/RhoWLyF1S5agQKGzpggIwMaPzNo76f2nKAF4FxOAvMur2d4NiR6T3u/JkyekTliXsOptNBcnfI/yZ+aAAHz9BpU6vYslWcXh7ux7VqXLS1lEGOzPCQQAn6KXJ4HXfMwFtcJqQmIknvtlcVhC4iEEywb78wqrCfGyli+6TfOCIuQMP/lsjd5BJA/4tL40HjznYy/x5OX2EJygBm4zIgCCK5HayJVIhNaOBrKx67AEKO8onLw/Groru3aqiFxD5VV6W3wA0JlYwq7VGIgtUjP2BkkCTzh5fnBdIrU5jgmAUhfjweJ6tqbcA0t6NEIn5fjN+LfJ3AMEYEIihco7DsXJjwZA8vf4IWjisw8A0RvqAwLQUnIdXUNsmhVxFv6fPfpIElgn487BGT6UAOi3YyejqcCU9WbIcfp7xFyGjESRjHSHEELGRoGolCdBnwbDLqGXgFFzMzkp0dXyATZ2o+c++rxSl+T5BkssZR4sBGAOYXlpFxaO+lmzYPdqF/5NX9bTIHvTLBTaTgaXw6BAOb8SB1Zv6ei9rVW/rbDafKQWB7PrqiP3oLl/ql8kKoOKfKV+RmH15BH4y1J6Qv03HDj3NlYBAVhvnsQp+V1KAJLexwSg0G09SGNiLk56v7GxEbYuwRmTrjhbmsmoVP32BCDxH69TqdN7uCi7JFrL7rcixbTUyWAnEgB8ylyVDlaT0WeUyVL0BbDrrEzCDjhqoVDUy+6Cwmpl3/1MX9Cypxl85dc6UPKgtcIZgoqUNLj38xpu3UA/6OGDduB7g8Zk8vahGjsh8N2A7zf/OBTfDl+/Jbt2qohYTTMAXraY4HSnlrNr1ftloLm03bQWwdWor8PDGxKpzVFMKGI30KBdayQ1ulneCOTODRf1qgV5V+JW/H5lSWohpNr3nKNAAEZuAUEafwwBceY++B1vXlN23RE7+4afBgvUkQfKnYMz/WkTNM+tOFsyFSDrzWb8+4oe/tEXISNRGEXde1xX4dqJ8TGJVCmhg4177aCBe7rRyX1FMrgJicXELaUg57rZiwmAUpfk+QZLLGUeLARgDmF5aRcWDvn+zILd7j7sHLFUIAAbdDNfaDsZXAxZz+6tuAbrb98RCMBq9ZsKq81HYoEPu65nzEE0t1L9ElEZVOQfM0AAgn6i0pmqp3HgPNDeyIJX37XmSZySV1ACkPghbpBVrN4MJ+MRyoWpxhgZvgMEYD2+p3h7egpf9dQcEIAvaPYh+QNsy1oW58XutyxR2cGHEEIMtuKJNz4Vrs0Gp5nIU26K6yPOerDP1aThYEdjHSwQAGWypbdyEwgAltRkB0LAmKKTL0L2tL8iEAAsH6rJBJvMyNM8eenrBoeW4J343gxOorOQvEuUGPgmbMKkpPAU3O+97gHZtVNFmBMlAN62OIvTk1HJrlXnjZ956k4agBu78IzegYA65zAmFNHraQZAZ/QO3KpuYWtKrhhld4ROyknb8LOXdhUelXQVzj4MBGnsHgSt0uLdjD1Q6yR13blagZ9nzCX6/cUKMqoAACAASURBVENPQgNB3DkYNw7LDmym78lm0z0xTKG7XmK92YqtN0VJUuR5IAAFEYJ95xpM0KQdskvioFbBc5sg3THS7sv1E2gu6Wdjt/qH0eeZlMhzfscolljKPFgIwBzC8tIuLBz0WcmC3f5B/EdDlNmsm4VC28ngXPAadm+VDTh1vUJL5UlO6mUKq81HbK6eXdc77hia+0n9MlEZVOQLtUph9eQRJLjnVBidnN+51gEEYM3fzdo79Z2/0WD9I0wASvU74WQ8+JjCah73b/WzdYmb8PuQ4PgWy2TMlP3jZJH0Gc2iJH+Em5OVJfqw+y2NM13r4GUjat5xkNlYAE2gwo+7KK4PP+UGp9HZ+IRVYx0onGBfVlzvaUU7/uqsvdB4bhjYRiZ7eMmvtafZA90vWIdenw8dbCNO8OSlux264obsMSIAq+WtRUWwwHcLvmbxWdC4S11upoNQR1oI7WOLMxy9OdVAuvT4pD95u3z34LGHUPicfQD/1lFr6Rq9Dc4M3Km/ytYUX8IFwu5CJ+WUHZgA5EpqIR7dgeA08yBkdMYfPkJrXB2p3Cx9F+w12CWx3azErjtynX1NNQ7LCaYEQLNBvqP0ZNApsd7sb8POO3KSpHyhg6+7pIMvIZjwFEncinRb5N17ajL5jsJNRUAAbl9/gD6vVEw832CJpcyDhQDMISwv7cLCfu/vWbB78zb+I/OWQACctSvm5N5OBzqye6ttxs1+3hcIgIP6dYXV5iMyS82u65OAO7j+rH6FqAwq8pnmaYXVk0fwjy/RE+pnMQEYHuwDArB6uVl7py4XCMAnmKiU++yHk3H/A5Pe7+71drYuaQuuS0hYTfsZ1C1eQsbHHyvsMDtI/oRmUZI+wc3JKlOgmVpxNC+BkUJvLejobbDTVHNpGQsywo4oB/Bhx13Z55oLsM+61koILG2vKK73tFILBABr9Qui49m+CS7yRciedm4CAcBZjuYS0MiHHeXJS3sTaNtD911Cc2JvAeO+CCLEwDd5GyYApRfA5vJWU7fs2qki2IESAF87/Nv059exa1VpsTZfydFnYhQkMpn7MaGIcKa/k5cRCbzbDJmSwvO4wNtN6KScuhPfW76kFuLhDQiU0/cJxMAxlTwZH0drxIZxqTuBACDbzWrsuiPX2VepwRYhhOSF0kyGx3rzCUCHCeedyPOUAISfAUlSrolrsn4FkZB1VvLvr80Gudrw7RFCCCGNBX1ANgdxwbmSneh8gyWWMg8WAjCHsLy0Cwt7DN+wYPfeMHZTWC7IbFZpzDuFni5O+NtCgXIHbg7zoUAA7NRLFVabj7D0K+y6AclYH22lXkpUBhX5ZCYIwA+0gVaJkXvO6N3bQAAc3zJr7/S3KAGI/wxLlSoDj0Jg7LVTYTWPW931bF3ydlwUnuT8dzY3MvpAYYfZQfJHNIuS+NmraLwqPZjdU1GEu8k9lIpw26rAAjL00CWF1YSEHLkCUo0yXEivtfIVTpaVMwg6K61AALRovDghie0bd1GexOhshezBL1gidLWyUnLvPHlpqYPvFn4Az3uvFQlAIreOEEnguwM/r/LL4Dx0o6Zddu1UEeRAg3l/O3zKPlDSwK5V6YHvM3EzXWPs6PPkyRPW/Cx9Lw70w9dQAmAwIoHDbSA/KTiL9xM7KaftxmsKT4DU534vuOWk7abFya4OyVymTGwYl7Idnml/O7juGNtuJsp09pX2DWgswLahBRHCabxzJjEXppx3xJqEsFMgSTKVdXB3ziQuTukkPxw6FrMOviG4g299Xi+77r2hR9zY3ZuYALCeBEZdkucbLLGUebAQgDmE5aVdWNjl9Q8W7D4cGUVzKwQC4KhZPif3dlRSn9BxDbe2/0RDx23UryqsNh9BKefZdUPT8Mmtrfp1ojKoyIfapxRWTx4h379AA9QXMAGYePQQioDt3zBr7/Q3BcvOzzEBqAmDDrkF2i0Kq3ncaCsHArAb28ImrXuXzQ3fv6mww+wg5X1KohK+fA2N12ZHwPcMVT59J4QQvZVYhIs17Z31cEoevF9Zwx9y8DL7XGctDjp0VrRHgKeNcg2BzoraiHpaY6ehstR0tm/sOXkSo7Oh9Qeev2CZU2c9nJAHH+DJS2MlFNFGHMLkxGf9eSFQTeLWESIvVyGEkAo3yFgMVrTIrp0qAu1pMB9gj8nGjfJmdq1yNyz1ER191HZ8/wdXgbyk7cYZgNDVtG7Ax4gEPuiCk+a8U7DfxDgU7mbsxXsVnY6A4LQT3HtSdwYqEit3e/rskrdCVkVqu9lpZLuZpOU7+96+LukbUIRtQwsjhYLc1ViPPxVInXduXsOFt2JNQsgJIACs7mATX3fgsZ4G+3mh8J54rKWkIC8M/7++sZA/7a/LgazA/VtYTqXUJXm+wRJLmQcLAZhDWF7ahYUd+s+JyqAiz3k9TcaMune+p6UEwF5j3in0dHFIUp/QZ1Sf8JlAAKzULyusNh9+SafZdcMzcAGlg/oNojKoyHszQQC+fV62g+6TiQkgADbmSZwylwkE4EtsV1offYntne+2btL7DTTms3Upe3FjuOQN77O5u7euKewwO0hbQUlU/NeYKDXkx7F7yg1UtuAkhBC9latAAPApem8L6OSD9ioTgOB9l9jnrjVj/bLOyksgAMpZCPYZa/yZysxstm+0QhGyzkYjEAAsEeptNX3vtcXQSCvqqCua89lAMwCujincSfXEBDi4SAtWCSGkSg3Wo/0lM9OEyd+OnswH2mO50VA1fL+yK1jqE7eBZl20tnz3ZKbbN5LthKyiwbmvDb7Oo3449c49Aa5I44+g4DbLqJ6g+BxIoW63wL+H5O2UZLjLSKvEuopESV2FKdvNFE9K8Hz2QO8WZBtaim1DlSw5pwKp885QLy68jb3C1ySYch7SCKf9OcEg93FzprKggghsRtFczBf8IlnQnRH0+aCjQlMySU+C+QhLLGUeLARgDmF5aRcWtnl+QlQGFXlR/zRq1kIIIR8KBMBObd4p9HQhrU8YuoNT4F+qnyEqg4r8pH5JYbX58I4/xq4bk407wDqp3yIqg4r8XTd9AhD69XM0EH+Jd88Rm275/2KexCnrdYEAfIUbljUmekBgfHnVpPfrq05n69IOfIvmUjd/xOZuDVxV2GF2kLGcPsO47zFJbSlKZveU5XdKYTWFWISrtcan6AOdoP8O3KVMIoJ2X2Sfu96BpS9Kp/tSaK2o043eBgfiNfl5EKSfcJVdq7PRCgQAS4QGu8E6MWgXb0FamSMhFycx8fDbdJ7NPR7FwdX4COjos4x09DW6ZDbXmz8zfx/87GjQHOyAszO3G+G3KbmI3Ypi1lECYNw9mBBl554ggQD4G2WBRodus+tkH4X9RqXNuw5iAlB6MQYC1gbwuU/aSsmMh0xxtZyzUnejxHWnBdtupnnR7JRhFzT2ktqGXi3HrkFKTbmmAlOFt3GutCYh6CjUJKQLvQe8ZHoPaDcLen9Jwa/rKqHWIgr/P0TO8rM6A6RZD+/jzDX0JLAQgIUICwGYQ1he2oWFLboPicqgIq/o+YD2I4EA2MxCoe1ksMfraxaIP3iI/+B8JRCAleoXFVabD33sQXbdhDx8Irha/Q5RGVTk7RkgAGFf0eA19xWeAFQ9TYPXgJ/MkzhlLxUIwDe4Q25LmoEFxtnn7Se9X095AluXfuQHNJe27VM2N9j92xbeZb71LCUA/8S9CdoqoJtyhtdRk3soFeEO9YLOOGCnciffwB0XJAEKzoB4Kuj7pdBa+QkEAEuVGkqhkDfiiLyMSWctEAwrnKm6dR2CtYAdPHkpS4M+AbFnMDnx3wLf59EwlnqMDYPOPOcQttKsM6RCJiRrZoIvX1samIc44sD8zlX4bYrO4pP+6LXy3YMJIURtKwTaW7DUJ9CJ6vMDbHAx9fg9CKqzDoFF6KMhSU+BI/g5lF2Jg/ehGoLZBCZN4u1VNULH6PiN8D27JK47fVex606GTHBtyjWoNEHSTXcMZ3onCzkpjghWlHwYahJSBZLivSvfeCviuZU6/mT6UwIgdQYqljgDEUJIWwVkYW700NqDylQguCMPsfEA60lwqZLMZ1hiKfNgIQBzCMtLu7CwUfceURlU5DVPPqD9VEMLba1nodB2Mtip/4KoDCryjNfT5PFj7JrxjfpZojKoyI/qFxRWmw9N1F5GAJIL8SnnWs0KojKoyDKZ5zVVRHzxDA3El/IEoPwZGrwGrjRP4pT7Kl0f9y1+Pm05QSwwzjxtNen9OgtBU59+/F9oLm3nF2yuv61UYYfZQfYy+gxjf8K9CTprC+B+NQdM7uH5i3yQfvcGBGAB25UJQMA2ODG/M4QzVUrkQgqtNT3l1htZhbZUVbB9ww4pEQAqH9Jb4VP8+7fh5DpgG08AipOgwDj+Av7eAdsho3HnJg4kRySBb+4RbJnZ4Ac1C91puBjaXHjb0sA8zAkTgPvdcCpceAqf9Ec5C4XXRt2DCZEE2pswAfB3pA49gba4F8PE6CgrHM7YD4H+8AA83/xj+DoVbglsbqAMJC5xG+W7DRNCiNZW6K68Ab6n1HXnegd23ZGT11zvgN/GuGi4PAkyJmOj+P+lk4WpwluxKNn/IBCAZB2VKfnuLeD20m8XPP+Fpl8T4yAtk/YGIISQdhn3IVPfJ+wUde+KulBB5jMssZR5sBCAOYTlpV1YWG8ioBV19j97vCKzcvax3fNTojKoyAteT3O61e88niMqg4p8r35eYbX5cI/cwQhARgkOLtZr3icqg4oslcmYTBWRn9HgNeN1ngCUPEeD1+AfzMtw5L8sEIAfsESqszgKTsaNAnlTaMsJVCQOGXu/YnPXGszvNGoO8pY+TQmANe5NcK25gt1Tqttuk3swmY4NPkV/cBdOVP22KBMA/y1AAB7ex+4o4PGv3ItAY02DXL0dLtZta6hl+4bul7ch1Vp7CwQAS4RGH8BJvd9m/t7zo8GxJ9EF31vgDqhpuNGHa28e9IMsJf84bprVFASyoo5EbNtrLgy2NDAPX4VP5h/031S8j4g1YvdgngBobSOEQBtn9nwd6HWC7XAdyJOJCXD72QNSn3s9EJQWncTXr9KAFKq/EP5Oxq6n96WV6bCsE+4rZh18T+S6043fK7nGXv1tUDTcZVQ0XJEi6ab70DyrXlx4i6VhSRq+KDlRTcf8DxQab0UMO6m8Lc1Au/UqdQcmhJDOWr7/QGk8SJrGjWrXws8ITcnOzQwJnS1YYinzYCEAcwjLS7uwsFZDJS1vyRCALwUC8C+PmdfZTwZbdB8RlUFFXpYJtn/weJ6oDCryjfo5mZXTg0v4VkYAcipwwd5GLZVMvaSfvg1o9Ccqqql/kycAhS/Q4DXkO/MyHIUv0vWxRhmEaxWJcDJ++AeF1TxaM7xBU3/ODs1lHvqOzXVWpSjsMDvIf4V2PI6xx70JrneAbWnKpW0m9wCnHnyKPvYIGiv5bTqruN5/0zkIrow0855Cl1+dlXwnX0IIUdtQ33gvO6zV774KXWiNm3WJ0FoL9QPW2Mln/PFjttZ3I08AckLBqSZFje8taDe4GvV1YD32/R5wgjE+eW8Jy2Vz7bF80GcOvGxp86zI1ZgAmMpEhK+iz8Rg1D2YEEJ0tuFCoI0zCj729DcIteN/J9GiM1XiHHSnHSRWxWew1KjaE6RQfbngRBMjSJN0MtIkT+G+opzhe7aWKbvu5AbTd0NqsWmqaFium+5UUZsFDbke3MW6e7nTfjlZkAixW2+qnhKAsRFwVSpP6kSf7W7gOxCbKmqW60kwH2GJpcyDhQDMISwv7cLCGg0tal0uo2lnOnuPmdfZTwYbtcqn7Ss9XiAqg4p8pX5WZuX0cCl0AyMABdU4oN2ipUXTz3tNnwDEfERPr1Pe5glA/ks0eA392rwMR6mQQYj9GdcQ9Ndnw8n4/q8nvV9zkoaty7nohOayjq1kc23FvLxhNlH0okAAVn2Gxm9ea4PGZec2mtxDZyVqxvEpulSW4LtRmQD4Ca45Lo6pXDCitxYtRn0UVhOitqHBn8EeS3WuX4OgLWgnX8hLCCFaa/n6AUIIk674rucJQFYAdKVN0+PT8JB9QAC6murR3J02kIEUG2nvW6Og+/DVSF73bQ70ttRTP2oNfn6jw9D0yrgIN8yJSoC8jboHE0KIp42w31pMAAz29HmEOXhxa6DjLzgHDTVCMFx6Hp/o13qDFOpaBshQotaI7xnOGEi/Z+RqkCA1l/DuNyLyhC67Husy2ViPpGj4WjMuGq7O4LvpThWmCm9T9LwrUZxMt2IRvnuFbr06GkeMPgTCWpHShT57rQmITU8T/V4Fgq2pm4ytabRgSRp68reVI04VlljKPFgIwBzC8tIuLKwSbC1X6PiA9utZ1NlPBus07xKVQUXekMlO/OTxIlEZVORLzTMyK6eHC8HOjACU1eMmNtt1X7C5JxPmFdOJiPuABq9J7/AEIPcVGryG/8M8glMh1BDE2GB//MGWYjgZN/LzN4WGuCtsXZ6LM5rLPmXF5lpzAhV2mB2UPkcbnsWu+RKN3xm8xu4p8aSzwmoKVoRryzfrgiBamQD4rjtLXJxogydj6G2uCATAT2YlhYeg/zY44EB96AacAAdulycAGrF+wIb3+hc9733W8fee7h3I9s7wwb9Z2EFJY7NqXEgpdd8pNXLfaYsrZnMtoTMjBROlMdFrMQF4PAYBY9Y+fP+hjpQA+Njy76KXkG2JXIMJgJcdDcAjHL24Ne6ic9BWqBu4UQ0SlIor+DnU+2cBgUqG4DdytSDXkpEmiZmOiFVAAHDRLTZBKIgQAmBnCIC76pWLhk3ZZk4W0izCyAOcRUgzCK5EO8GVSK43gAjjbr2PhsFdqioNd5HubYV6i+56mtlgBGhtJrd3rAniMZ9giaXMg4UAzCEsL+3CgqPQ2Oo9LU8AvlVTnf0PsyCzmQycNcqOO794vERUBhX5TKOa8eueDXRiQX5VEy5g2+n5FZt7PPZIYYfJIf5dSgASVvyNm8t6jQavEV+YR3Cqn6Lro+2XofFb3XWKHX1NoS7qAvQP8MAn6rnn7dlcY6qXWfdrLkSiE7seZzOG79xg95Rw1ElhNQULou34U3RR/y0XRIvwdRZ882UaPOltxS7DATIrKdwFC0iDI77G8D2QuQRslbchZfUDtjwBEKUrPs58BiBF58v2zg7EAWnEEVc211hajOaGakF6UXYlDs11JpWyuabATMXvOxWw4th1mAA8mQDXmIw9+NkGO9Dv5mvHP3OoKcAEwNOOEo3IVV7cGrUdrZdI2AwE4HoZyLOq3PBzaAoBKVRHHEihwldRAiBXm2Cwo8Qk3BEIgFwHXBFF0fR3cF2VzsY6aiRFw+24aLg+F/Yybpw1WVQkS+oIHuE6ggzfRvoebgNXosjztIg9/DQvxTHu1vvwHvRVqM7AdSfSjsidtbS2QU4CJcKU9Gg+wRJLmQcLAZhDWF7ahQV79VKiMqjIBzIE4Hs11dl/Nwsym8lgteZtojKoyDsyBMDG4xWiMqjIJ7NAAE4F2LMgv64NF5Lt0X/L5h49vD2t6ySuoKfXce/xBCBdaOQV9al5369uiZABcHoTjd+7LpHGbPlIYTWPmtCT0FlXtxXN5V9ezebqE5Q73s4GRLvU2C3fo/GRB/fYPcUfsDW5h8aaBoVe9spBtLezCQKwmhIAN5kGT3q7SwIB4OUocA16wuztdAaNj41CUOS3Sb4ImdUP2PMZAvHk2nsNvzbJ3cD2zgvDWv7IE25srqYAe7gPVkAH3gqjDrxdaZVsrsE3ncwENHbRxMUpncRv4CVUYnYmfRd29AlyoBkdPxkCoOQqpLOjRCN6tRe3Rm0r3MMmSZOuggZ4Rhr8HFoiQArVFgUn4mGOlAB422HbUEII8RYIQKgDEAB0an8bn9oXx0IG4ong699eJSka7sJFww35EgefG9jBZ7IoSwQr0cdGzjvZAdSVSFqUHHGWavHlinFZsy5XWiMxfAfqbWqzsZXuQCcQ4faqQXQ93WY+02Sq+Hg+wRJLmQcLAZhDWF7ahQUb9atEZVCRj2QC6R/VLwqFtjMvs5kMHAV50rsyXXftPOh9f6ideQJwwt+GBfktXdjXfr/Xj2zuzr3+aV0n6R1KAGI+4L9f2pvCCf4nU/9+T8bHWfAbu2Y5mnt4ux+kMRvel99ABlUBh9m6IgN21Sl038DmaqJMd92dadQKRCdu+z/R+MTYGLunuL2/mNxDbUPlF14OfKGtm328YhAtwseJEgB3mQZPXvbUUlNtwwd9cA2BZKw6zc0xCdIGJQIQLhAA/rmzzMIqfm3CFT0Lqgpj8Al29GkPCPIzscZ6oKgeTr41SWiuJ7uGzdV5zUwxODt938gTAFcH6raTuh0H84H2lAAE2Ptza5T6CmjtqD1orLMXt0YrWIfGSSw6e7KqFb9rW6xEChUCAXGoAyUAPnY8GfS1p8QkxB4IgCndfmm8xNf/MZUiXq0AydiNHlw03GRCTjRZoGsaOe+IJ/JqyYl82CmaEZKz4ww+RntcxF6h/SLu34KajrocTABu9IAb19UK2uAsw49mHDy38U3GxIJkHxn70fkESyxlHiwEYA5heWkXFqw9XiYqg4p8KkMAVqpfEgptZz7IngzsBXmSXHbCweM1RenSdHHU92cW5Hf2taK5g94/sbnrN9oVdpgcUt+iBCD6I54ApLwtkIOPpv79Hj8chuB3/Qo0N/rwLhCAtSsUduBR7rOXrSvzO4jmij23sbmq0JNTvl9zMTExAaf8u39Gc0+ePAEStGOlyX3UNlT+YXDkT9E9hMZRhtXKxMbbUSQA0dycl8MFgQDwhZ8ixEDWZw1PAEDHr0QA6L17OfL35yEErgYnfi7ugpYFVSVJOJCPO6+BuWRc19CXB0F+tScOfHsLgBzU6PCe5sJDIGBJm325OTfh2aRsweQgwI523A2UIQBKnYXFTrzx63gXIFGGJLXo7EyBHg0Nfjjb0ZlcxuYaA4BABdvTImBfe54A+DtQYhJkB9cw5dwj54Mv7Zg71IuLhk0VFE8WclkHEfmCJt9dosk31ZFXbNYVIzTrunsDbGsb8nvRZ4d6h4FQlV4nhBCS5k0zMNKaAxFy9QjzEZZYyjxYCMAcwvLSLiz8IhTTfi5TTPsvNSUHX84RAbAV5Ekfafgg2MljmWLx8nRx2GclC/KvDWBHiqM+1myuq69eYYfJIf0NQebzCf8dxOxA3PtT7zfw6NZ1CIw3vYfmJsYfkzpRG796+aT3LNbvYHtWBp9Ac6USclBuRA5mE2MjD+F77udlPjV/k5cHGcNUoOxhIxToOskX4RJCiLc97QPgIePvbnASCQA/RwjugOq7licAboIDjbeMjh/fOz/vIRTQejnw3yv6jJpdtzwDB7CJlzzZXEEcljVdywSZT603Xtdf0gTkwAPLYsyFmB1J3soTANGdJ2kTbt7lJxCAIAe+8NrfXiQHeM5DkGElbuAJACtEdobrtMdDl+bmYKxD786oYnP13qlsPMiOEgA/B54ABDpSYhJgC9+zPBmCfGPNvbQTrujr31wMQf7t6/iUX0oObvbi7MBkIdYduKzi5V2FUbQoWVqTYCzzkSL8NG7Wdfv6A3Z/TUU4syo3J+c6JEKuHmE+whJLmQcLAZhDWF7ahYWfBDvNL2V0/j8L8qDPZQLw3wLWgs5fLjuxWv2mon3pdHHA+3sW5A/euo7mTvpBfUBz5/QazWS+LhT6fsZ/vwShPiD+3al/v3t9oPNP3Mbr/MUC4XjHtya9Z4F6E8h8IrAevjzoCJsr9do15fs1Fw/u3YJC3yMO3HylSiAAG74xuY+7IDMxrOaDaJAH8fUBIgx254Ugn/d3N6y+IJADPjtACCETkmJW//U8ARB1/AYFCZLpe6fONnL1AVEn3OG0Pg8HSsluXmwuNwLfd3cqnG7X+2eiuYHKq2yuwpWXQ5kDkPnwwbyYHUjciAmAr61wyu/Ik4ZAgQAE2OH9RDKRvIknAMyKVGLReTW6gH3X1gj8/K7lQgO3Wk/IoATaUgLg78C7EwU70fvys4X7Qpr7May5r0rnswPYNQjr/LE8CNcHTBbMenMNb70plx0wLvSVQqwPiDhL/x9689p9eJ5lA+izdwYhO9BY0EcIISRJyzceE5Floj5gPsESS5kHCwGYQ1he2oWFlUJDra9knH6s1K8JhbYzH2RPBj8LGYgvZAiAs3q5YgOz6WKfAQp9797HbhpnA1azuZrW6XmdZy8VrD6/5LMv8e9Rh6BEGYegX8NQew0U+u76jJuvEALjeLtlMqvlkevqzPZsiMV2mVXhp9lcsWbLlO/XXNy9CfUMScfXcPNlzwoyqrVfyqwGsFN2mSBbLBDWyxQIizDYigSAd3fxdqYEQK4+gBBCRkfA/jBgA08APIQCVK9V8hIkN7t4xQwBFAjztQ0RR8Hpp74EB1FpGh82lxGMpUudiUUQjAVno7mbdRCwll+SJzxTBSv03ckTACXZjo+g8w914tcEOdBA298Wy4NEopGyla81YM3IJBadLaE57Lu2x2CteX9xI5urUoMzlL8trU0IdOSLk0NX0fvysYG5kjgIqieMJDc1mXxTLlOuQe3V4BA00In/nzZZyMl8RJQmSOoDxmh9gN9+avWZpK3lPs8cgoRmXYNdoPNvqxxEn703BPUB9XlUHpTgQaVoAYd4p5+cYFqoLucQNJ9giaXMg4UAzCEsL+3Cwg+C1ec3ar7hlK16mVBoOzcEYKUgT/qHTBHyes0KojKoyLJZIAB79P9gQf6DEfyH9ELQOjZXWs+fhE0FeYLXf9hXfPYlVuwRsHzqBOB6UyF4/e/9Bzdf+qxAAKxfn/SeWZcd2Z4tSTo0VxN7ic0Vuq6b8v2ai6H+TrA0PbOBmy9+4W+yTcKMwXT2a3mnH62VYBFqy1uEivCyEWU+fOdZn3V0zs1eXhJz767E6nPLGW5elCB5EEQVwQAAIABJREFUKUiQmNWnTI2AaBHqZceTl/CDLuy6zdU4k5Wp92dzaX5YrtIeAyffzWFYYz3UJG2ONf2GcMjqczev54fCXUwAvAWrz7BVfAYgxIkG4b5GBEAkGmnb+TXMotNJ4tEfkMnurTMJ+9wPVrRKMiFQYO1rQ59rsBP/XcJW0/vytoHsgJzVp4i6HN4hyJRrUFedco+AySI3RCj0Xc8H1nIWoWK33xQ9HysYN+uSs/oUIecQFOdKi7CDjhZze5vqETCfYImlzIOFAMwhLC/twsL3QrOv72SafTkIXYLlXHh+C/yofkEgJ3yAbKpL8HSxXf85URlU5Fmvp7mTN5fQzYwA5FXxto9TQcGLQrffb/jsC+sS/BbfJOzX0FOVzgLjtEPfcvPFzwsE4Oelk94z/aw127MjEwcw9clq6BFw0bTn/kxioLsJiM4FPvNQ+LLQJdj+Y5P7iMGfj0yzL60V9ZTX2/BNwkR4WYtWn/zJrs8GgQA4JJEJmcZxN/pBmx20XVnGo5cpUH7y5AnrU+C7gc8QsP4Gtpe5uTBJt9+2Jvz/8hzfYDaXbMC/dVsEeNy3RuPT1zvtoEEvPsPLoaaKx4/H2X5Ze/ln62lHHZCiVmMCwJpqreZP80NX+Qkn7RBoS4lG5i4+a+BjR4mU1KKz3iedrelOx83ShiSZkLJL0CTMx4b+HqGreAIQ6Uzvy0tCIk2duMud9kuzAsauQT2SbrrXmm5x+00GclafIuQKlg078yipMvC1UjGXaZ1EyHHarKu3RdLsq3EIffbhfb5HQMzlSrReClNdgucTLLGUebAQgDmE5aVdWPhG/YzQ7OtFbm610IhrNnT2kwH0IeAD5M26j4nKoCIvzwIB2OJJ935Jz9c+eITvYAQgoyxCZvXkIQbiwd/x5CvqExUN4N+YOgHoLI5jgXHGsR+4+UKBeMSvfGXSe6ad+Bfbs6cQF7Q2ZvpAl+Azpj33ZxK9V6vZdVOv7OTm85ZSEhVr/YHiHhPjEyy48N3AEwCdFfXL97RxV9xDb01P07XW/Omx7yZqA+rqmELGRnj/9d52kHkE7+aDfI01PX3Wy9QgjI2ANMJvE08AtNbK5CVk1yW2tqcTO10VBEewuQQNDqJbQuDkuz0eB1/3ekBmUnRS2fVoshi9D9rvnIN84Sx0z8UEwNNWIAbOPAEQT9oNNrDf+Bi8A1l75ZyDqKQo2B72q/FMYWt6c7HE5XYLBOLF50AKZbChRCJ8DU8yotf5Ce8ZyMhMSVnk9P6mXIP6JN10u+pvcvtNBqy4djtfXCsnSdJvo2Qxw7eR+7zxCX534xA8zxbcX2XkAd8lOOoClRCFneKbjBXHtLHPP3nyhJufL7DEUubBQgDmEJaXdmHhSw0NZv/l8TI3t1aQ2bwxCzKbyeAbITvxg4w8aZvnZ0RlUJEXvJ4mT2ROVqeDjTqaXXhN5nvrovYxApBUpNzcaTIoE6Q4wT++xM1FfkYJQMbrUycArTlBLDDOOvUzN5/3skAAfuCvq4SUw9+zPfsrsDVka0EIm8s5wV9vttDdWMKum+6xl5vPeZ0+w9if31XcY/QRyAv8NskRAOqI42mtVtzD08pNIAB8AanfVgi0h+8McfMdDdBQKnQ/H+SLMh5PGRnP8H2QTfhv5cmDKfIStP0iWzt4HdsuFkfFsrk4Fz2aa/KHk++OZCwdGh6A+8k/xtdDTBWPhkAelXdUrnmWIPVxwkXASt2DCSEkYg1/0j76AE6Ycw7wmYYA0TlIUjhcpU5ka/qLcYB7rwuyOoWn4JBAL9RkRDrzBCB2A70vnaSQPMtfKGbdwhezSh1/RFvPihTlTr3XO+BZdlTf4PabDFK9qL2m9y6+9knaaVjMSOi20DqJLP8m7vMJ7lTDL3br7awFiVJ/G5YojT56zObKkzsJIXwRsRRyPRLmIyyxlHmwEIA5hOWlXVj4VPM0URlUxMqDPw3eoP2AqAwq8uosnLJPBl8J2YmVHnx2YofXP5hM5/HYqMxq87FWS4nPmzIEwDv2MCMAsbneMqsnD9GlJkjmJD7yi2dpAL906gSgMUXPAuPcC3bcfM6rgnPOd/xzVULSvq/YnjcbsPa7rSyWzWUf/nHK92su2mvy2HUzdYe5+aw36TOM++c7invcvwMnowFbeQmOpxX1y9dZaxX38LTyED7jyc0F7ACpza3r17j5lopyNh9+iK8z0FrR4NNTRsZzawBOgQO28wTBFHkJ2HKBrb17F0tCKhKS2Fz0Rfy9673h5Ls7E9s7jtwBv/acw8qNzyaL4T4ICgtO8BkFUZoT4oADfbXYPXgjn5GJWusnZEXg/h7egvvOO8yTerGzsL8dZAcqXOOAQFXiDMqDfrjv/BMQ0HsKcq7odTwBiN9Ef2eNLdROpPtQcuglc+IuZ+sp7Q1g3KlX2kyrrWKQ228ySBacd3z38Q22Ggv4jIRmYzZ9F4Kauc8nqikBELv1tlUqdzGWZmjKEjsIIYSEncI2olKgHgkj49z8fIElljIPFgIwh7C8tAsLH2gpAbD1eI2b26z9mJ2yzwW+FAjATx78SfVOiVPPg2HzitqUsErzNlEZVOTvMtIn/4ST7LrhmZppXUf0qQ+U0eKHf/UcDeBfmToBqItzYYFxgaszN5/1mkAAvualR0pI3PkZ2/NuBw78Omuh5iBzv2nLzZlESzlcN9v7BDefsZw+w7jvle1OB/vh5DJwhwwBsKZ++TorPrgXobPSCYE2/z4E7r7C9h/oauXm6wrz2XzkCTeZvX2FU3xextPXBVKHoF08AfC00iiSF/9N59nakVFc6F6TATKfyNM4e1DrCeSgNx//DXgsyaZkHZhedowQQu51wCl30Rlebic29Qqyx4G+u9g8bAsfaMesFwiVpDHb/X4ggQXHeOIS4kh/A19bqBsouxTN1gzVd6DPSzMXuUcgE6IV+gnEbuDvK3ErvS8PiVtUql44cd/Nn7jL2Xqa6tQ71Mc305oqTDnvyGUkPNbR9ygvtIX7vDGZaC2D73PzGu5TILXKLYmjzRdNNRmT9kgYeTDGzc8XWGIp82AhAHMIy0u7sLBCRwmAkwdvCbld9zkLdmdaZjMZfCbIk36RyU7s9fmR3duNm70yq82HvfoNojKoyPsyxc/ByefYdYPSlAtDfw3SLrYBMm484V8/T4tqX5o6AagKPyOx5dzEzWcsEwjAl3xthRIStnzI9nw0gDsg97YUgRRn1xdTvl9z0ViYAJmOAF6+k7biBSp1+lrZ7rSnDRxbgnfzdpl6a3eBAPDyHhE6K+qbr7f24OaC94HbTncz///MygyQ1ESf4U/qdVbeQsDqys11NkHn3dB9fIbA00q4d2s9N+e7nnYvdnFM5XTSjQXg9BN+HF+30j2BzV0vwdKOiYkJsO3cM30CcLsZNO0lF3hbUVGaE2DU1It1CN7O6/ljN9I1WhsgFHe74PS5+BSfaQhzogTA2xZkQyXnIiHgbcGZnbFhaFyVdRAIhUawdI3fxBOA5O2UzLjbg7GAKa97OVtPU5167wxKmmkV9nH7TQZxLrRwN/gYX3grF8C7OWdQUhXBE19GbgQ5kakmZtJmeUXRbYQQ003GqjOUi6HnEyyxlHmwEIA5hOWlXVh4WyAAazze5OZ2e37Fgt2xMb6AcbbxiSBPslG/ys0d9P2F3VvPNT7FPB3YCP0PPpZpgBaVfoVd1zdJvjnTZDD68D4QADv+2Yd99yK11Xxh6gSgLOAw27vMwDfmSn9TIACf8+5KSohbv4LtOX4fS0ZudNeBG8+2T6Z8v+aiLjcK3IdC+AA45f0XBaLDZ7dEtNVVQxB9gN9Db0P98rVWvJxEhFYI0vXWfJAeesiN7X+1ii9YLE2EgDruIp9lEMmFpxWfHWiuMi0f0luL985L1XzWUgLg6pDEzV2trGD7hhntW+4C0pcbNW3cWjH4Tt3Ja+mnipu1kOEovRzHzYvSHD87eUvP9N38PcRvpgRALWnMdqsVskAl5/hMQ8Qq2hfByxaC+aJT4WzN3S7cuGpiDIpWM/YBafAQmrolymQm0nYFCr8H1NeIOnm5E3c5W8/CSL4brwg5L/2pIvoifS9E604p5CQ8Lqtw0C5FhiBvErv1NuSDhOjuDf5vjdsagUxEXiWEmG4yZsoOdT7BEkuZBwsBmENYXtqFhdc9aZC9Xr2cm9uvh464d++ZpxudDj4U5El2av6E/Li/Hbu3lvbpdeQ1hpX6FaEDMt+ALD5by67rFX/c7GvcG+oFAuC4nJsP/eFl0rB4CSl5buoEoNiwm+1dGXCIm09dTv3xEz/hv58S4lYvZ3s+GccFhndvdoEf/yZlx52ZRnUGFB8XRfKFrskf0WeY+BlPIEU0lkBjq/CjfADvZXtFCKL502QRGmsaVHrZ8EF4+DHouNtQxEs5CqLgJDnBlQ/UddZ6gQDw2YWaQjipjzzGZ6P0NsK9W/P37r2GEgA3e97KtqsRCpND9mFpUcnFGDipberk1oqdi5O28kHuVDFQ2sSuVemeyM2HONLA3EcizRkfg4LRzH18FiJJkNq42wGhuFkPkpGyi3z/gqg1QhbGFvT8+cfDIMi8jgkxtWeljcXSdsM9sG7D2/jfI2NvEMvITIxT3XqsiRP3axJbzx7B1jMvlPr0e6zL5D7/4C4UOtdm9XDzk4GpwtuOGshI9LffkZXtSMEsRTdRS1G5vgZSeKwV5ERhNJtgqsmY1CJVjkzMF1hiKfNgIQBzCMtLu7Dwsp4G2Zs1vFPKEe+VLNjtu9nxm9/be9qniMqgIg5qXsJxOmgNu7fqJr5IbjpYqX5JsQFZSoE/u646er/Z17h5DTzsA1av4OZDV75KGhYvIeXPTJ0AFGo2s71rwvnusil/pwQg4aPJ13bEOrxJGhYvIdVP8fczMnyHXS9hHf9dZgsVyX7suiWx/Ol50mdLKSn5iHe4ElGTA3r3qJO8BMfLnhbxaqyVJS1qwanHYMvr8KNOqdn+1Zn8yWxuSAibT9bwgaHORqgv+IWvLyjPhHuPOcVnCLzsLineu2HVOSEQjuHm+jpASx68C7sLFZ6JYnP32vmTZNadd5NyxmSy6M2rY9eq8Uzh5sOcKAGQSnNG7koKkQ/xev7UnVRq4ybJfAxUQaah0oXv2ByzlhIAnS3Y3+Yehl4Jj27f59aI3aVTdgI5YaRAJjuSdQD2e/yQBsDiiXvYKf7Evb9N0jirjtp6Zgc2o6BaikfDvJXmVBF2qpT+O5EpvO2ul9h4tt5GhbulCR3c53NFsiI0Ffs12Y56QxZxcUonucG0nsBUk7GmImU50XyCJZYyDxYCMIewvLQLC895UQKwTfsRN3fCx4oFu23XGn7ze3tHRwnAajVfxHkhZCO7t5JqXsYwHfwgNCD7VqYBWVZpBLuuW8QOs6/R01oGBGAtf2oe+tPrpGHxElL19BIyPjE1J4tcF2e2d0McfzKc/C5tkJX4/uTdnWJtXlMkJBPj4+x6cWventK9TgdlseB2VJbEWz4mfkmfYcr7ym5HZSlg5xhznicRBgcaRKttlG0t1TbUj97bjrfijLmgg0AoiT/FzvCFrrvpBr6TsKeNUIT8C6/jL0pOZmvjz8mRl4uK9+7lSAmAhy1/4n1zAAKooG24v0DecegR8PA67yfPLDjXT58AdKdVsmvV+/LkKXI1Dcy9bOH7PRiAk/H847yeP31PAJsXax/6iiHTUK3mMyLx6+l1NHYgG8o+EMjWjD2QObG2o1aqSdspAZDq2NP38AQg90gomx+5RTX9pk7cB7skrj6VNDvLfPq38QciclaaU0XwMVp4G+vCF95ea5ZkJBqHfvV6xs26UOHuw8fc53WbBUvRAFp3wpqMefN/l6QOSUO9w2Z9198ClljKPFgIwBzi/7N33uFVVNvfHyFSohcFVEAvV3/qq0BCEQUuIoKAIAooIhdQhBRCKFKlKtJCl05CctJ7IQHSe0INJIEUILRQQm8JJCFAQtr3/WPmzD6TPXPOyaFEcvbneea519l7ZvbsTMhae6/1XeyjrT9UVVeJxuxC1yFU+3q/CWL7iQv0KtSzppcb7wBMc6ZlHO01CnLtf8KCXDUZoerM1x9wopNkDx2LEZ+7LZhOsNWX88f3EAdgJh03Hzy+F0593A4n2rXDQ5kCUtrYt2mCeO/cBNpwjBvIF8iK7V8LB2BsN36lvYv8jsSJdvzzwifS+QzPirTdpAJxdhJtPEeP4OcwsR9dR0LN4TCNEBx7OtHX01ZtRCt/Y06C0es9gc4JibJ3F+9/OIxebY939RTb9wXSz3C32i44AHR40IFwEo8fu82VHvvETYKRv5tq87DZKLwXXbG3uISo2PjPlr7TvuXEUC0vple+tRXhqi0Xo9LFZ50NoothhcmE5ty/RJyXw+vo+dy7mBjuFaW8QozmTsMJN3oxIWYm/xynCSRsaO8i4khUVtAOukqd8DubN/YrysgK/N7FAVR/zZCihzf5ehHqFfewzfSKe8H1ErG/WtWnZmKtJpUVGivyUXlUuz6IcfeOdNz9jfNkR+JyToHOHYeaCctHY8iuU00JUwDwmM8b/EnevMEvFhnzpYuMySkk/RNhtpRhMAegDmEfbf3hYWmJaMz+5fYj1b41YCpZZT9Fbys/a7oJ4UmznL+m2lShi8Wxxac+ebyxJj84dxLqD9AymUfP7BefuylgssHPOKVRrTfgd1o5J9iqt9ieX1S7/IvkdePEay/up8M/YoQqw/F92+t9z4jRn/JJyV3lHYBsM8EBsKbzNZ4Vh4O3ie954gC9kh31vy/5Ymp9lNWO9gUGisZCvItMrPxktRFNq9CocRRWe71taSWiOJW3eP/9O2hjO9qB7BAc2k0nurpbC1WGZXIQ9uwgq/GJKtp58ZrMG/lyYT7u1psEB4AOkymrIPHi/jWqIyf/RearqpyWWPSw4kOadk1+cgfgXCjJcTi/+yDVHvEb7zy5aDg4985oVw46sIyMv7SIDw+5kpxNdhq86FCjuNm8A7B9AtnBSV5Idm7kqs2KOyGC5GdpITHYDyyjndXD68jP8v5l3qDXtuKuqepzWlD1iXVWVg2SKOmE00m5+qAt7r5mobFH98k3dCyZzjmoafCnRxKHoKqKnk8x5MeNtzvUOwL7/OkiY3IKSf9EmC1lGMwBqEPYR1t/KCi6IRqzSz3pAk6OwbPE9r3ZdPjCs4aEJ9Er5B6Rq8SxRe6nVz+fhKGi/Chdf+DExaPic9f7TjD4Gdl7gkTjNXABrZ0fbPuV2H71+vla3Ttx5Wjx2itpdExztFBkLKmX/vkFkSN5Sc0D3eWvyejIPy9svHLC7dPmoN8GEup0mA7diBzTly+m9gWdy6Em0YsY6Hu8aWPYe+omwYimjXM16nhvn8kyUqQeZKU42Zd2xiI2kRyBI7G08elho47jl4ln9yZx43u96LAS76nqRN9oqs3NarNwX3pM1dXVopKO72/Sd0pYQKvVaOJlpa7O++QOwJmg/eL7XYqijVp1aI5Kw8HJzz4vXpNhT//MDq0kc/bgViEAIC+OqCmd8adDjRLmegvvTH4+CfN8tc6Dq7ATEvYbHwpVco0YpYfX0KFJ6RtJbkVhLm8wByxXXnEvuUdUfXL28zKkUdt5RauA5WmyYxKVdHbV7t8TNV5/8EZ4gvtJqk2z0Nj5zNt4UEhqQpzYRxfAq6nVnxrG52HIKRgBgN9Sfi5iBNWfmjkBmlzKUa4q/E+C2VKGwRyAOoR9tPWHSzfPiMbsCu9xVLvr7oVie1y6cgz0s6Ciokx89h9uP1DtfrGbxPaQJFq+8Un4xoW/r4UjbcxeuJErPne1968GPyM1hsSvBy2ina8dUweSMJ4ztVM5il86Qrz2xrFkqj1KqDGwrxZVhiOFwmT7/it/zZHO/PN2j1VOuH3a7HNbIb7nuWP7qfbIXwfwY+6prHYUpyIhOgd20CvGPtM3CYZerOxKLwDYT+Sr4/pMox2Aff7E4Ix3o3eqQtcSlaDsffQum4eteqWeDmeJdfERr00JpH8/1Vr/moarGjdRIUh+98xBkPP0mfy39JlzBRUdGfUgAPCx5h2EIJsnzwE44ZUkvt/VZDoMJmYWHZpzM+00mU9netEibR0JtSm6xMt3XohME8/l7qB/BskLfclqv7A6Hfu7r9Z5cLfiQ6V2T+EdoXtnSJLrkY30btXRrRFie8GJPADaV9zlVtjDt/I5EztW0apBAOA0XTCaZQpz6YPHPCHsxpuOu797XVpoTG6HQpPje8h8PCx+jJSdfD0Ox9/2yD675m4IqTFAOzNXTpOE5Gtn71Ht/xSYLWUYzAGoQ9hHW384ffGIaMyu9bWh2r0i7MT28APKhZCeBfdL7ojPXuzxP6o9OMFRbPePo5VunoSvBfnRCU50OMvNe7fE5y7zpMelL/t3kfCVkGW087Vj1nckvOVIQq3uHfvnUBI+dJY2BiJH8fr4KZ/p7wBEDe3I7xp8IR82dLir4ACM1r+68JOS7EDkTq+co52kSOvB/Ht2U851iNrqLBoLaRG0weg7kzfA7ScmoLySDnkpryDJjr4zaQcgJYSEdkQ70nH8u1aQQmGn0+iVW08tYTyRDh5k7KF0u+9sUu33cak0j8TNQsgtUChwtl2oputtK/3dip7lQ626a+I3gd/xCLB+cgcg24UkOd88TP+9iZ/Dj0VT0efaPlLX4YQH7fgc3URyPgpO8bHpuTtJNeYLoYeoa/bJ5A1EzeSf7awQGuYphELttOV/5nc0diYyZZSGsrZHie23j/J1TdRhL3Ir7o8fke8uM+4yAGD3Bn4nY+ffdL0JAHCZtQ/2tknYF2BY3ZSaibiaFN7SKDSWehMF10jI07mjt6n+mlKd9++W4kAQrwqkmkHnegBAyNqjsLflFYiqNSRG0yJoidHruaSy85VTdw161+cBs6UMgzkAdQj7aOsPWWf2isbshoDfqPYAjaq3wYm0Rvqz5Mbt8+Kz7bzolfawvZ5iu2fU8qf6bLX6kK1TL6qtpPSR+NxF7vTOhL4k+q4RjdedaydS7UELfhTbM/fUbvclZt5g8dqiq/Qf60ghoTdNIaFXjmghbyChj7wDcKCHEAI0Qv/qwk9KwgYid3r7Gr2qGTnleyFxWTnXIexvUqgrM5HeLfGbs1lsL3lAhxOUFBJjw38OnQScFkFWdiO30CpDwUu2iu0XT9BVTb1+W88buRNo5yRsowsZeyydvOo/dxNZ7c6X5pG4jucdH7fx8uFzjoKcp9cE6Q5AxHQ+HMZFJrEYAAJt+B0CP+snz8s5uk2j6NgxeqU3aYGf6JypuRx/lDhUfnuoa7K3k5/HraP8N3MmgMipXoqlxQ4O2GlIft7lY8rDpvM7AK4ySdQA4GXNXxNswzsANw6Rqs3HXeif5XHXWLH9xkH+b2vNxFdNJDKbQlKvNplOAHATEmf3yCTO6oO2sJvigkfieE4evC7JCbh4LJ/qX1Oqc69QF8B1Nr2TBwC7N2aKzk1FeaV47dGYPKrvzYskITnvOP3sfwrMljIM5gDUIeyjrT8cyo4UjdmtwXOo9l3J28V2v1h6dfNZknspQ+vuRNyhIA09/j+e6rO/ENSHpjj1odoqq6rF3IT5boZXvY1zXiwar6FbplPtQYt/FtsPh7vU6t7RMweI1z4spBOII7VIeioRM4hXDorrJ7+avqcX/7yIYcrx9k+b2JWTxfcsLqRXGSNn/48vhmam/J67Vm0jhsshuuJqwPwtxAi9Q+veF1wlBYz8F9AyoJl7SBhL2DpaqjPoT3L/a+fplVnvGetFI7eqqko69rVOZLV7Px26EriQ3PvWJelKqet4ocCYBT0mAHASYtg9raVOTehU3gHQVN7RZIctb5T7WD15JeC09SQuvugcHUe+RyMhubKcl468GHFYPJcbTBuTOe7E0L66jw+tyfGMJ+f20E7Y4TWk6u/9q/zv0+6pvAPgIZNEDQC+E/ixBVnzIUCXNSRNT8lImub4aIQ7JfK7WW5zhBV3P9qJlyT1CpV2tSUNA9qlM/XBcSrvKKXsPEe11Yz517UKf+4oUeopuFZCKgPPk6/pErGNT9TesSodZQ+JwlBWwmWqb818hH8qzJYyDOYA1CHso60/JKcHika0464/qfaog16k6m3E011l10XWqWTx2RsDp1HtBzKiiPOyc/ZTffZ/BQdguooujgYA3d359tmutDqRvkRunkW081ULqfbgVVZi+76AjTJ3UCZao2pvRTldVCfStrcoMaovumoHJPbli4tFDda/uNiTEr2YzNFjGanU6IW/knmopLXFASB4KTGSLxynky2D/iAr9Nfz6FXo62fOiu2Bf22m2nNSiZLNLplKwxIH4xatluI7e73Y/viBtKhRiJ0DMXaP0uFDOxaTsV86Jf332mU8b8i7W8rv7DkLxc08LKXvtGsyf52m9r5kTJN5B8DLkpa6rC2HVhPD+8F1eiV3v4Z2/uNCXu7x3M4D5OcZTicOn/YjhvalOD5U5piK1IK4mUavjqdtDCOr1Wf5sKGQSb5a3zNgIh8K5WfF74Ro5hmc3UE7JmeCD5IV8wg+DMlZWHHfHyQfslPTIFcnykY70d8xAHgv4r9FtZJObaiurob9JKnDoUlN2c/LJ0ki7o1zhVT/i9l3xPbbl4qR4KEsYQoA0U7HeSd7WarOqsY1w5H+qTBbyjCYA1CHsI+2/hBz0EM0ol0jVlDtiUdCyCr7btpIfZakZIWJz7YPmUe1Z+aQ8KW/g6Y+1Wd/KlZHHiTbrt4hmOZC1yfQl92rbUTjNN53LdW+cyMp5pXguqxW946e0EssIiZH1G9EYai8VL9KmQl9tVcPjhvAOwixA/SvLfCkRM7jd0mOt28nm6Abs4zMccl9+VjgoD9JmMz187RhE7yExOhfPEkbVhczMsX2oOV0MvqFUyfE9uC/6HbNEKMHJbShFDCPxPHfuyU1ZnYsJrsXl07RiaJElbGHAAAgAElEQVQhK4iDcKaGg+Bswce1u1vLJ9C7WPAx7u4W0kJyIRPp6rua7NKxMl4b9i8jVZLLiumCTilrSDz/g+v8yvwZf+3hPJoOwrlQ3tjM2EbCgvKP0zHlGfYkPr8giw9/CZzIOzq+VrQ8KwDsmMS3e1vyOyG5wUTR6GI4nWdwXpKIvAcA4PibYOCH0CvuAO0gqA38OFf5v81+S/jdkRgV/a3oorJSM+SIniPNkKSjMXm4kEUM/DuXaS3+yxpKPTfOFyHOhf898VlEzw0AxLnmiO01w41qIqeQ9E+E2VKGwRyAOoR9tPWH0D32ohHtHUOvMh84FkuM8B0zn+vYElL9xGc7hy6h2nMvEDnOFf7WT/XZnYQQn3mu38m29xNyBCY5G170KmTJL2SFP4wOw9jtOF9sj936e63uHf1rDz72vbO8AxAzmygMleTTK2hyJPXmHYDIIfIhPtHf8CFCCbWoLfCkRM4YoTWUKW7tdPE9796Sr36qaWDfvU2vFmom6Z46Qq+yn9pPDMqQNdup9lvXiS590Hw6RMh3Ju8AONjEoryC3q3Z8SdxEK6elxqCgX+Q3YObl2mjbPcaEiJ07IA0uVJdvdjDht61ADRDhBwl54NseAfAx1p+5TtsOm/4ulnSUpe1Zc8iknxbWVlFtaduDBfbi3P5UJCTXglkvvbS4TyaxcXOBPJhU+kbiCNRKBNqlOVMkpFvHeaNZ38x2Vk+12HXFLUjxDtKJzVCfK4k0gnrV/aQ5OWTnnzysoOw4n44VF62Ux0ipI7p1xXiE2DHOxlR2+l50UV5GYm7z4ilf5eqq6vF8aaGXdBZjffaGY3KwWfuaUiY0mF4AJDoxYcIeS44KFnhP5tG/86WlmgvQvZPgdlShsEcgDqEfbT1h6C4daIRHZjoSLUfPZsitm/xn/Rcxxa+VyU+2yuKXiG/cfMcqWHgPfapPbeiXLv8KAB848w7CFaq/xr8nB3zh4vGaXoSbSxFe68U28PX1m7uo0Z/xqvffKpgGC8YQgzjPP2MgT2fC+FK33eSbY8UVIKSez0/ByBiMq92lPqJ/DMTt8wT3/P6RfmwCD8NpZzSB3Rl27C/iRGdlbSHas+KIeEjoZvphNoHJUQNxX82nUfjNY038JXqDOxcRsJ4crOlyZ3+c4lzUHiXzvUI30iKjB2NkyYJO1nx8fUetvLhZW5CkrCrhfSdAqz5nQE/G3kHIHIW7wC4WMonCdeGRCHJ12EireYDAEfso4mRmc2vzB93IT+PG4do9ZyrezSLfvHJw4dWE2nQBzcKqGuOeyWL7deT+LAhtdzpjonyakdh0/h5chVyJY67Eifi+kH6b+fNtDPEWXOKQpWG0k16JO3cARoGvyf/nqJDIJMzAAA7VvHOT/jWLNl2beiq7AsAKg2Z0VMpN4hzlk+H5928QBJ1L+UUIGyLIGG6Wr7i/F4/IUn49/3Iv0p+p85n0DH+FY+1Jwn/U2C2lGEwB6AOYR9t/cE7cplo7Ibupwv3nLx8nBS98rF4rmPbkbBRfHZQvD3V/qCkUGz/0/Onp/bcwuJ8Ij/qOVK2j7pQ2K+qbgY/J3AmUerJyaBjgpN3Oojtu5bWrt5A9Ai+aNdeBc3+hMVEYehGjn4VnvcJKj9RP3aRbQ//ka8TsL8WtQWelAhLfifjYHf5sKQ9zktIReQc+dACnxmCAzAxAZWVlVR7lL2baEwcDqXlGw+FEOMxypE2Bqs0Qid8p/1NtXuKlYZpbXgACFtNVIqOpUgTJH1nbBDbyitoidJoBy+x/dBu6f3VMp+eU2jlIgBwH88/18VCKhPqZ8WvbAdOlE/yjZ7DG8YqLZWT9SXud96IdpQpZAYAWa5ktf9mCu/gZToQ5aA7WXTojGadgGMq/r6aoUaPZUKNTgWRXZ5Lkfx35CkUPNs5Sd4BUMuEqqzD6HFl0io6d0+RwlhHN4ficSmR+ZRbcQcAnxohPyodOQO71vMyobvW166uCEAn+cqh6YCc2Et0/h8UlVF971wmiboXsu5g59+8etPuDfJjO7CDyITeuqhRdVhG5edpVD1+HjBbyjCYA1CHsI+2/uC8awEp9JVGq3pczr8qtq/0ootVPUu8o0gNgtC9HlR7VWWl2D7fbchTe+6VmxeI/Kj3L7J9flR1hLmnOUaruhr8nMAp/UTj9NJF+g92akKA2B68kK4UrI2YobwxnviFvDGetHIMeXaavJ57TVI+FRyA0XR1ZAAIH83XFjiksOvwLIj8hc9l2NdLPizpgM9a8T1Pp9EymQDgPZV3AOSq5QJAoqdGJV8fumpushcpEpUoU0kYABxs+NVfn8l0vQoPG34VX2Upn1QbtYHUKUiNl1ad9Z76N79CbiP/bvGuZGz7AkjMPl/pl1e+8Zour+7lYcHnFzhbSGPcfSz5Vfkdk+Rj3+PmBwo7GvIFsmpD9Ax1pV/a8QKAk357xfe7HMfXu9BM2C3KpVeq849fFNszt/HfvmaoUVUF7QSeCyfx+eeC+VAqNyve8Qv9Td4BiJujLhTGf1ealX7vnaHHdf8KUcU5vCZEkuh6fI98mJ7/MmnSr7o4lpxKDwBE2PO7H0Er5QuFaUOfxFqxUrDHSWml30d0An7BdbKKn3vklsbuhLyC0aHdfB2F7VOScVUjfEip0JeTkD9xUCF/4p8As6UMgzkAdQj7aOsPW3dMF43dlGP0Nvv9R0TzfrH78Oc6NpcwjSrEh+XjibsKybq/Ow98as/NOZcmPnedP63PDwCjnDrD3NMcI1Tyq+H6EGj9BQnDKSymx5GeKLYHzpbPRVAi7htesz/2K/nQmL0bLEmV4WT99NqPdOL7R4/rIdse9itfW+CIQt7BsyByJK9mlNRX/udwOMRefM/je+S/IS9xBV5+xfpgCDHcYh09qPYYJ7JDcCBE3pkSi2pNpEPZ3K22CIa2fEhNvIMnMeJDpWE1Xra8A7BdIXxorx/Rr09wJ4ZqxSOymus9m96VAABPa7VjInVqPC2Fle8p8g5A0qIgcUelSmZHpTZE/Ma/u4u1/O5I7m5SwOv87oMAgIOryI7Mw1t04nfheRKakr6eX/RImOcrOFJxVH8AuJykIeHpxf876WLF5w1EzJD//Ula6C/OQ3V1NQ6vIQXh1FKimpQVkUq6+5ft0FlJF5DKfuqz6h3rzCfa+i6m1ZF0UXPFXg61ClGM6jiOROeJ/SvL6fyNwtsaDsXhG5QzU5P0yIuS56v//+1L9L+dAOAyWyh6JlO07J8Cs6UMgzkAdQj7aOsPa/1tRGM35zwde1lVVY0u6oRYt8HPdWz2IbPEse3Pkl/h7CE4ADNUhqvx1ORwdjTJewieJdvnV6dPYO5pjmHO8vHw+hA4jk/UPdahHUrLaUPp8tljovHq/9uAWt07oT+fkButINl5wJ7o55+KpBNXa1JZVYnj7fn+MTbyic+h1j21Kg89C6K/5+sZxH8tvxNzNMpTfM+MaLoKLwB42KoNXXld+6PxiaKxEb7BiWoP3+RIQjdiEmXv4WjNr0p7WtPGtruw0u5iIW9I7nUnq9MJftKwG0/rDYLzIj/2Q+Ek7CR6q7t4vvgmWW32my8fAuQ5Ue0YSZ0OVyvekA2fJr/yrUu5pzaETuYdADdr+fe7FEeKfp3y44u47dWs2ltGJ1WX3CT69IdW8s5NzEx+p8FpgrwjJQkbcuJX9FVCobSY3+UdoZrVgw/akXkpLaCNVs1QseQ/A/TSsldXx929MVNaGCw6T7Z/kpBI6zH/oGy7Nq7nklX3K6flFbXUq/gR27KRGnaB7z8pSVahq+QecUJz9l8Tqx4rSZRmxF4S+2tWEb53U/4bUxdRM7TmwfOA2VKGwRyAOoR9tPWHZd5jRWP32i35VaPP1Zr4Lv2e69jWB9iKY8s+Ix+//aWrmVCw6/On9tyEQz5E+lRGfQgArJw+g7mnOb5xNrzoVdCYT3Hq43Y42klewrKo4I5ovPpN/LJW9076klfsifhWPjY+1W2ueO+soNU673e/+LbYP26avDMSPuVLsU91hbzm/tMm9lt+1yH2u+6y7cf2BJNiajvl9e49hJVuZwt5WcvT6UQ1ZqcdLZm5c9VWDcNEfmVVJayae1jSKkDu43ipThdLT5krgcPBRKIyykmakOthuVUYu3w8/rH9RHoydA1J8pfWLqDHBABeU/jQqJrJyU7WvFMRPUveATi8lmj3F19+siJMIRM9BcdJPjzq+sEc8VnHXfnV+4T56tV8+cThikcktGbfEn7XJXwq7wC4Wu2SveZuDlnNPrqZ3ynaPoFPNo5fIL9zk7KC7L48Kriv0zGR3HOeH26cJ0myl3PoxGQACNdInNUnSXdfIP9zd56pX96PJnnH88X737xIV8QGSI7B7g0ZOBjMx+w7Tdsj2/fxI5LjkBl/Ge7z+DyLZJmqxwCQnUTUtDSdgZJ7dH4BAPj8JeRHuNRe8vR5wWwpw2AOQB3CPtr6wx/uP4rG7sNH8lupaslLW+fez3Vsq3zHi2O7cJVW8wCAb1z4disnw5NxaxKWvI2oD8XIr45OVPWEuac5BrgYXvRqx09deMO0q/yKeUVFpWi8+lr2rNW99wqKPeHfyzso2UGriGHsNlfn/W7lZYr9k+YNle0TPetrsc+ju7Q297MgfgCf7BwzXN4BPJ0aI47pgK98qIu7hXYj+mpurmhsBC2ijeWgpaSOwKVj8v8mulgIRbcs6GR2t19VgvHpJnttVhzRtQ/bIL3ebbyjsHvgIXtt3umT4rU7NIqU5aYfEc+H2G2TvdZbSI52mBiPaqECcXV1NRyE3IGEubRoAABkbCO7DvnH5OUr9SVoAp9I6ztB3sguyD5HjEJ73lGJmaV9NR8gORmJC/if+U5b/hpPK/kcjpIrRNLy0NpdqHr8GPYT+QTk5MXyjmPaOhKKVHTpNhUSJId6VyF6lq/OQloAEKMiIT3F+UQb/1SK/O+fGEc/OVlxDEpoynoWXKfVsgAgfCtxSPb6C6o9s2mBAwCorpKGLIkKQkF0gjQA5OwnFbfVzoW9rXx+AQAELDdc8vR5wWwpw2AOQB3CPtr6wxzXwTD3NEcXD2VD9jtn3gEY/wSSl4bwl+f/REO8sOiWbJ8fVJ1g7mmOMapPntpz/aNJ8nHwHnmjbIpzH5h7muNLV8OLXoX80Ik3TLsrh8xkmwk7AGM/q9W9D3YTHICR8rHxuTHOomG8Z6uNzvtdzIwU++9d8j/ZPvELhop9bl84WqvxGkryl/wcRo3qI9t+4fhB8p4uS2X7uI3TbkQX3SWhD/5z6IRZ/4WkUm/BJflkTTcLF94YGu9CtbmOE8JcrGgZXgA4e4TEn4csl2r2u47nZT5dLZxlry0sIKu2AXOJM5udnCSe372ODmsCAJ+5xLF5dI8P+SgvJavM+/6Sd5hOeBJlnmt75RM69cXXmjeaA23kw6OKLxCj8PB6fmU+Yqr2vAEAUFmpw3f4dwgUHQ35d3pcSFRn9i0PweN7ZHV+n518eFLGVpI7kn/iEmLFpGDl5GhXK373JHyaD85nkjCt/Kt0IS0ASPbmQ3rc5x3AnSu6Q4aORGmPy9eGZthNcQEt6wlIq/XqE26kVi1S70zY2yYhTSF/ITedOCDqomD2tkmokqkPAQDBa3gnN2xzpmz7PwFmSxkGcwDqEPbR1h9mOPeFuac5eropG7I/qswFI1te/eVZMc/1W9E5UUomHC3E4g9XGR6LXxOXXXNEByA2Xd6ImO46EOae5vivlnnTxa4hfJz+ns+VHYC0LrzxGvC/2jk4qZ8IDsAv8o7D9fQoEtJjJ2/Qa3Iq2V3sn7JOvuja3mWjiORmpvLq69NkX08+2TnyV/mwpOsXjotjStw6X7aP6zgP3gC3pIuxAUBFOQlV8J1Bq/j4zPpbbC9/IG8YuVsIkprj6TwEZwshPMhGfiX+xiUS7hC0UKrZ7zLeRxi7fHhTZUWluFKtKUF6OJQU0IrcJu/k+v9JQpvunONX8kuuEYfi0Gr5sJzcnQfFPhfC5EP39MVLkNoMsZXfbSi7c1d81oGVfPiOejXfQyFsCADcLPgiaGEzeIPf14pXNgqaKO9oVD1+DAcbfucjcVEQSi6RROJDf8v/G3HCjej+XztwAuHTeQfA1VI+zAgAPCz5PIFdU3xw5jB5RuFt+WrdBzTCbCQx+qfkY/SzE0kYTekDWjZWG5ohOKUl8tfGu/OGufefKZLdCcX3FeL0ox2Pi/fOSrgs2/eSRuVgtWSo49Q9ivfevTFD7PtPhdlShsEcgDqEfbT1h8lCKEtfV+UdgDFOXWDuaY4fVZ2f48iAGc5fwdzTHJ9rMbItnLrxsfgu5k/tuZs1cg/STsmvXs1x/x7mnubo5GGGisfyRp8uwgZ14BNYv1QunLX3v7zxunNYLXINqquR0VEo2mUlHxpz//Ip0TCOmqc7uTtz5xpStMxJvirx4b+txT4nktxl+zxt0rvwuQ7hk+XDku7lXyOOzqqpsn2cLfjYbPcJ8gY4ADjYxPKGjYyMp5cOGVEA8LBUJxrTMqJOwmq012T5glylj4haiv8saUia6DxYb1F8tqhANInsXiR7knj0RC/5JNYdK0j9gXOpvCGff+yCeC5jq7zi0aX4TLHPad8kxXHpg1pqM+w3eQegsqyMhOL8xYfiBE7w1bqaDwBeFvzOQsgUvo+HkKOxa7J8XgMAOFnzuRgxc/xxJ/s8mQd7eWf3zA6Sf3Ex4jBCJvNOhpelfDgTAHhb8uPaYeurU0cfANIiNJRxMokyzq08+XDOkwfIKv79u6WK45BDl6oPACT78snS7nMPIHQT/x2ErJUv7AUAfksO8++7iuTZnDwoH76kWThMnTCsFF4EPJnk6fOC2VKGwRyAOoR9tPUHS6dPYe5pjsFaklnHC0b2d85Pz8jWh0lOvHPSX0uc/STHz4VQHMNj8Wuywvtn0QG4eFO+AucSjeTpG7fkY1Z1EddHSNRVUOoBgNi+fJ9ILX1qUvGwSDR6o6d8JdunqqxU7BMxpY/Oe6a6k4q62YGrZPtkupE+6UEr9B6voVRVViJH/Q7zf5btU1FZgRPt1I6OfB91RVzPSZtl2wHAUYjN9rSh8wg8bLcIxr28zCgAeE7gw4RqFvuqqqoS9fi9p8nr8VdXV2P7BL7irc9UqZPgaCWoCylU8+Xfj1ft8ZxA+kRuJhWCUyPlNfbDN7uLfY5E8WEr1/aSKro5ngmy191MJ+Ecx5yerBaAOlQnWkFpBwAcBQcndg6/eu9tpb1CLwD4WfE7JwE2vAMgSnpOV75G3Sd8mjeu7CUr1ic95KVDJY6QTyL8J/Lj8rdSfoa/4Lz4T/BDZhzR0X9cKh/nrrmifyyZOAyFt+R3DDTDaO7eqJ1Ckz75A+piXU7T90okSpVQh+m4zyWF1uQq+wLAvZtEJnX7FL7egdfCFMV7x7nwOxA+i55sF+pZwmwpw2AOQB3CPtr6wyinTjr17CeoegkJr4aHuxiCpVNXwfFQdk5mOvG7BN3cn54D8Ifb96Jx/6BMfnV/nf9vGgpFyQY9Z79QWTdkmLJjFSrsEiT2Vt4lqElRHpEPjZ2nXD9AvUsQPl5e118y1s02pKBWnKtsn1PhW0jCrf1veo/XUO7n3yS7GKsnK/ZL/URwomzpYnGVlZWkSNc0+YRvAFBZ8iEjHlZ0ErCbNb9S7jpO2bDz1CjYpWk8PdCILfebI5+kzD+fjw33mihd6Rd3JqbKOw8A4GzJG54elsTB2WlHVvdPp8uHaCRp7BIk+fCG8oVQorufu0ve+LqXS1aZ09crh7voorJMI9H2L3rnRI2LNe/ARf7Gqyi5CXH0oVPkZV8BYMdEPinb25q/b00nQg4Pa/4b2GnrhTPBJMzpYpj8PNzJ0khQ3hYJL2s+vCfYRl7tCQBCJvmKuwRp4WS3pbpK3uDWjMtP2Umep7RjcPEYCeFS2iVQQh2n7zJLWUFIc5dAbdQnuMsLOAAQdwk0D6XwpQdFZVRf/2WpyuMN0D3euobZUobBHIA6hH209YehzryM5liVsorOFOcBMPc0R68niHc3hNGCc/KjFudkgcsQ0RAvr5D/o1dbZrl8DXNPc3R3V35fp11/ic+NT9OvkFZN1IW1AkYpv1/Q9x11JgrX5HJaKFHssVOu3qxOFI4YqTu/IGk5ie+/dFR+VffykXC9nvu0uH76qPi8eMc/FPvt+aKjUMGYrhVRfJfEkPvPUXYAXMcLiboWdMKsqyW/mu42Tj4RFwB852wkxtldYuBcOa2pMKRsxLuM58NH3K2IClDZo1LiPMxUdh5EBaLxJE/Af4FGfP/VPNnr0sOixD7hW/nk5VNe8eK5y8nyK7sPC0gyaspyZcNdF/cvS5V3lBAN84m8Ya0SQnWiZyg7AKFT+R0Ad8vgGvr7ymFDPjZ8mFCQtReyVTHiNTcPy/8dfHiDGNspq0Lgas3vIIRN8lB8RvgM/ufsarlTEt+vxPkMkiismRhb8Vg+Z+raGd1a/kokevCKUp4LlJN6NZV61Mf+QLrKuRp10rDmoeSYVDyupPruWK0cXqQZHlWpkChc1zBbyjCYA1CHsI+2/tDfhVf4sVHJF3cCgFnCingXDzNUlMrLvz0LvhOck3FO8hrvALDUSyMU57ZhoTg1maT6QsiLUHYAguOJVKhfvLLhpkRlWZmGxKeyulLAqK58dd1O+jsAJyLISvwh+ymK/ZJ6C2FC3+nOL4iZ8414z+Lr8n/Q710/Q+Ltf3/2RePOHtBQJgpU/hnEfcPXW4gdQu90XDqpIZO5WDkEyG28kMRrQRuVLhaCMSkj8akmaKm9+JwL2Rni+cwkIvEZuk4+kRcAXMe7CQ4IcTKuniXFqQIXKecAuFo680bleJKX4TODD1vaPiEGFY/lHefzqSQue8cK/t2ytpHk4VtZ8motFRXEUEteqBy6o4ub6eT9spxiFPsF2PBGs5+1Ly8tKewaJCrIlAJA1Gz+GmerUDzKJ7HlB+3kZUABYMckPj7f29Ifh9dqVPXNuynbv6qiQpRMTfwjUNxliJmp7JjEzuedDEfrSMS58iEs3n8qh7lcOUkcWHVi7PYpyiE6d2+QMJozqfLjVkIdUx+4Ik2xj2aFXvWRFiEfRgkAiZ4nqf5K4UvV1dXYPjVZ0ldbeNHxPSQk6mGxfN2FuobZUobBHIA6hH209YPq6mp8KlTSnenytWI/Ox8LEhN/+clk/WpDb6EA2WRVH8U+64JmiGPLOiFfLbi2jBXyIoaplENz9qYGi8/dunterZ9x4xwJ0/H9rb9iP3/Lz3Hq43bI+bgdHj2UlwKsyWGXOSReP0g+Xh8AYr4WkpD7697ZiZjQS6xaXKVQ5Ku84rFYLThWoVrw0+RIKJEyPZqgbGhG/fQFTn3cDsl96ST2rCRiUISuVa6I7GktVMWVqRbsLCjKuNsoOxARWzw0DCKSPLvXnxSLindRDiFysxCkSseT8JGM6Fgy9o3Kuw/qQmeaOQqeNtqrHwNAcT4x5tS7IymriLb9gxvKK8jOQm5C5EzDdscA4EJkmviss0HKYRy7p/A7HG5WISi9S0KqDiyX1+cHgMQ/+Xl3mBiPO+mnxGuObFNWr4qYwYfnOFuHYc8i3UW9AMBZyC+JmOmvscug/K3uWU4ci5DV/PvvXKesYnP7EnlfNyHkxvV35cTYsodExjUzTl5tRwl1vH7oJmVZzRvnSJVl9XEsWb4oGUBUjDQPbca625z9kr7JvqcV+2rWLbh7/ckqUj8rmC1lGEbnAJSVlWHevHlo06YNmjRpgu7duyM+Xr7SYU2uXbuGkSNH4rXXXsO//vUvDBs2DBcuyK/e6AP7aOsH+YXXRSN2scdIxX6OIfPFfonpyn9UnyaVleXo7ME7J3Ndv1Xsp4paK44teo/yCmptGOrcEeae5vjFqatin9y8E+JzV/r+WutnpEV5iMZrwJ/Kc79j2iCxX84x5T/smiSvGEPkOA8pJ6ZGDeukU4ZUTcT/+IJbKZ9p73uoqxCTP/rZS8budV0uvue5bGUDMcKSn8OUbrSjk+jpKxoJiR7K6iy+U/gkXgebODyuIAZKVUUFHK35lV2PafIVdQFgfyCpjhvjRIz4yM3O4vnUcOWEWY8JvMHupFGpNsHJmxhCgcqSl97ThDoFE+NRXsav9ntYbOONWQtlA726uhoONnyoi4+gIJS4MECYh3hUlStXexbVbBRkNfXhhBcx9K4mKRudsbO9xd2MguMkbv7IFvnkZgBIXUcMbc1wnjPByuEtyQv9xH7Rs/hdH0ctyk8A4CkoTPnbEIfh0Bplp+vINhJ2tX2K8L2ojiv2L7lHwsDUR8By5bj46upqOP7G7zodCK7djqlaeUdbZd3CWw+p8WjbaTiWfEXS12FystZwHf9lqZL+6ZHKuwtXTpPdkeu59/R7yecMs6UMw+gcgNGjR8PExARz5syBSqVCz549YWJiggMHDmi9rqSkBP/v//0/vPXWW1i7di02btyItm3b4t///jcKCuTLi+uCfbT1g5TsaNGI3bxjhmK/3YkqsZ9n1PLnMrazlzKIge1todgvOnWn2M95l+6KtvrQW6h8PElLWNSjssfoJDgoC1y/qfUzIh3ni8Zr2KaZiv3CFo8V+y1bs0i/e8/oL17zIF959S1y3H9x6uN2yDJvh2qFVX010YP4mgWJfbQnIyf3EhyAIbWQLTWQ2FWTxfe8d0t5NTNi1khx96KyUvqeu1Y7EENwr7ITsWPhFrHfpdxT4vkbZ4nijf+fWxWvP32YJM8GryA7DYELSG7A1VzlWGn/6evEfvdL+J2gncvI2HOOKGutBy0mY7+QnQUAcBvHK/y4WCrvHACAkyDD6WXBOzdhv/HGtovVbq3XhdjyBrKnleELBmkbw8gK7kllQ2//X8QwPxVI1GTOBO5RvOaka7TYL3YOuf5GmvLPIHXNDrGf74RA2Nsmwd1K2fECiKrPdhuyW3PCTe12WQoAACAASURBVHmn8mwQCQlTH9pi6Csrqqj+YVuytI5JNORd9f/7XVlZhe2T+d2yQ7vOKfbT3GEQv+szysa3ZlKyvW0SvHUo9mjWC7C3VZYMBSAtjKagLFTXMFvKMIzKAUhLSwPHcfj7b5LoVVpaig8++AA9e/bUeu3atWvBcRzS04kW7unTp9GwYUMsXLjQoPGwj7Z+4BW9ilS8TVQ2XrLOZYn91hiw2m0Iu/cSp8M9QtnpyLtxTuy3xGvUEz/3bvEt8X4L3X7Q2vdrFzOhQrJyArUSO2YPE43XwzHKoR8H/daSnQK78XrdO2I0nzeQ3ln7an3UwiHivQtOaF9IUCsWRQ3XXnAt6ju+MFdyL/1zFgwlYhJfefhop3aoqlJeNUzYMJskMJ+XriT7ziJVfAsL7ig/a4snWcENJiu4h3aRFdvILfKFxADgfmEBKcg1g8hx+kwk6kCVCsXuACDUjhjxmXv28mOfKVTqnZiAByXKii7R272IMRnEx7irpU/dbZXDlgDAVaxgzO9a+AiGb4C18jcLANG/80a1k3WkYjy6LhIW+Iu7DRWlymEhmdvljfn8LGXD+bqGnKmXZaD4/x/dUw4VOeVHG+eBE7TvcIRP96OuuZKovJtx58hpqn9G7CWtz/BccFDSf4+WsBgACFnL5wrsWp+htZ8mmiv72ozu6upqOAvVfdVHcb5ynZSCayWSvuFbtTsvh3adl/S/lKO8iFn6gDgjR6LzdL5jXcBsKcMwKgdg7ty5aNiwIYqLpf/Ir1q1ChzH4coV5VW+bt26oVs32kAZOHAgPvjgA4PGwz7a+sEyrzGisXs675hiv/KKCnQVcgVmONNKKs+CdQE24tgOZStvs1dXVeErYcXewlm+6FVtiEnxEZ9rHyJf8EqNhSOfK9Dftfb1EYJHfYZTH7dDRsd2ePBAOba/IC9HNF7Dp/bR697xQu2AuH7aY/tT3eaK9071VF4MKMm/ghy1lr5tb633jLHkcwWyO7RDyd2reo3XUOK+7cbvSvTXrmKUHU7CrQ4ESx1ddyteDUdlqX0l98geYnSELCfJvrtWOWoYasqJqoCGlKgFGYP7eCfY2ybB2UI5YRUA9gfvFp8Tvdm5xtiVw7wAICOejH3nSgdcOa2xazFXuX4AAPjYqkOfYlD26CG2T+DDZbQlsgLAwVUk5On+xRta+yoRaOsvGOjKoVkAcCnpmPgsV6HmwfYJMagqVVYFKy18IDEk7W2ToLIO0/qc21kXqGti5mgf297lO6XXTExA6R3lFfGKx+Wio6g+zh3Vvnod6XBM0j9n/zWt/ZO8+JwH1Yy9qFKQF61J3nGyUn/9XKHWvupcAXtbvh5AlZaQnselFZKx79Oy2wEAp1JuSPrrKmamdo5inZXDluoSZksZhlE5AAMGDED79vTWe2JiIjiOQ3i4fEXGqqoqNG7cGJMn0xrZixYtAsdxuH9fv8RCTdhHWz9QJ7v2de2AKi2rjwCpF9DP1RzVWlZbnxYTVP+Fuac5erh3QJmCSokaK8euQjGwDqgofzIp0KXexCk6mK09qXihhgTpubzaVZuMFxR4Yvrq1vffJ1QDjtMjWbfoei6OdRDkPccrqycBwL3TqaJhHGnTS7GfpqNwYLOt1numbLYlToXLHJ3jNZSSogJkmQljn0jr+2tyv+CmWAws8rfh4vmy0lKoLHmD0c1Se/5I2aOHYqy/uzVZNfe02SSu4Jc+1K6Q5WHNx907WkfgUcl9FN+7C0frSN4p0JJADAC3rl8XDUOvSX/jscbY3XWM/dGDEjgK0pge1tsQtt5FNKCSvLWv5IesIGFG8SvIdal/a9f3z91JQp4yt8n/fdJGxYNSOAlzEz5VWTcfAEqLH8LBJl5iGHpZ6ZYf9bQMklyjrXAYAFRWVMJxQrTkmmPO2p2+3B3S1XAPS90hUV7W0nEVF2ivNJ4eeVHS//Yl7fr+p1Ku691XzUGNZN1H97Ur6hzeTVbpw7fqFo1Q70jY2ybhfKZ2Z+f+3VI4TBJ2X7SoEalRKxd5Ljiot7PzPGG2lGEYlQNgZmaGfv36UedPnjwJjuPg5ERrUwNAfn4+OI7D8uV0CIWDgwM4jsOZM2e0Pvv27dvIycmRHKGhoc/no83PBVwG1Dj649zKHjhj113j6EYdZ+0+0+vItfu0xtEVuculx7nln+h1nF/eRebozB/LyHFhWSedx8VlHWUOc8lxzM4cPzmZYYSKP35UmWG4ygw/qMzwvcoMw1RmGOZshqHOZhjibIbvnM3wrXAMEsJXeJWdL3X+KJa4jRD7D3Axw3BVJ/yo99ERI2SOH1Xm+EHFq+0McTbHt87m+MbFXAytMfc0h5WT7iJVy32sxP5fuXbAcFVHDFd1xI/CQZ7Hn//BuSOGOZtjqHB8Jzx7sAsvdWruaY5BLmY6naKQvW7ic3u6dcAPqo4YruqE9TYdENu3PWL7tEf8l+2R0LsdEr5oh6Re7ZDcsx32d28nGsmBFtpD+AAgclwPInf5eTvEf9Ue8X35I6Ev+f9xfdrj0Kfk3mnO2ncwACBO2C049XE7JPTh7xf3Ff+/Sb3bY8/nfI6AOoa+6IpyUR8AKMjLEpWAsszbifeL+6oD4r7qgPh+/BGncMT2a4/Yfvw18X3bI+HL9kjs3R5JX7RHcq/22Pt5e+zr2R5pXch7HlzQHXD9Wnq4SfMyor/tCZVVGFwsQqCyDISLhY9YXMveNgnBS5VD4NSoC37Z2ybBZbwPXCxIArGbpbKCkJqdK4j2vsoyRDTg7W2TEK5FxUeNq4W7xvXBZOzLtukeuxWRIVVXHna0jkRxkXYt+NysbIlxqT6uZmj/DsofPYZKqJ683SYWPlYB8LX2g6+1P3yt/eFjpT4C4K1xeFkFwssqUFzJt7dNQqaDsjKPmuCJ3pLxJS1U1vNXE/+7l+Saw+u05zUAQNgUoubkMDEexeeVw2EAoOLBI6isSC5D4gLdsqh7F5GwId/x3rhpp72qdsG1EjgI8fneiw5pXXEHgOL8R+L9nWfuw45V6QhecwTBa45gx+oj2LEqHUEr0xFgl4aA5anwW5oqxv/v3qA7bOhBURl8Fh2C6+/7ceey7gXGO5fvY9f6DBwIzlUseKZJ7pFbSPI6pVclY83qyJ4LDorvGrL2CELWHtV6XMxWDgl8WjAHwDCMygF4//33MXgwrat94cIFcByHTZvk1SeuXLkCjuOwdu1aqs3NzQ0cxyErS3vM3ZIlS8BxnOzxzD/a61nAkmbsUDgKlr0uGqCGHt3cOyBFx0o3AFy8nivWDHheR1d3M8SlKStmqLlz76bEoXkax5bg2TqfW11VhXFCGJDmsXEMMaq1HamftMMZLeo1ai4djRSLhul7xPXvgMpy3drXKY4zkaPnPaMm6iftGWXzRa3G+iRHQp+PUf6XzO/H0uaSMaXu9pY1ZHlj3h/F9/J1vldaRKRYeVfzcLCJxcGd2sNHAOBB0X24jPeVeb43yh7Ja59rkuQbIBrvogFnEYjCAt1jPxIRRY3df65+9Su8Jm2SXLfFciXKKnXvtGlKhhp6eFv6o/yB9jAPALgUnykm2rpY7cb9S7o17gtzr8LFarewYxCEskLdxmp+Zi5crHbDYWI8DixXrhmgSY5HPFwtd2LHBC88vKW7+FbZnQLsHrkWAT9txdEuvXHZ0krnNZdOFOBAUC4Kb+v+jgAg0etU7X8ek7TH3GtiaN7H06b8caWY9FzbQ1co1dOAOQCGYVQOgNHuABScB7y+p46cNf1wbPVXNY5+1JG9ur94HBOObLljzQDJkbXma2TXOLLWDJQc2WsGImvtIOrIXPuNeGQJR83/5s8NRua6mse3NY7vqCPj7yHicWD9YIxy/gyjnD/DaOduGOPcDT+ruuEX4Rir6oaxqu74VdUd41TdMV7VHRaqHrBQ9YClqgemO/fD3qOhev84jp1NxSyXgfjV6TOMVn0iOcboPLpidI1jjOpT/Kz6DGNVn2GcUzdYOHWDpVN3WDv1wDRVX8Qd0h5fq8mZvGzMcR2MX1Wf4WenTzDGiX8uGWNXjHHqip+duuIXp08xVjh+dfoM450+w3jh+baqXvCKXq33c+8W5WOp5yhYOHXnn6v6BBsmdUTk1x0QPrADwgd1QPg3Zgj7lj9Ch5ghdKg5gn7uhqy9uo1GNXkpwYgc1wNR35kj5hszxHxjhuhvzBAz2Bwxg80RO7gj4r7thJhhnRE9YwBK7uTpfe8M3yWIHNUV0YPNEf2NGaIHmSH6W3NEDTFH5PcdETGiM5JX/oLKinK97ldZ/hhJy0chcnhnfqyDpEf0IPpcrMYRN8gMscK7qccRNdQckcOE8fzQEeHDOyLKpiuKnAYDXsPow1uawF32qAIhayPgabMZHuM3wd1iG9ysHOAzfQOuntUed6xJakQUPCduhJvldrhb2MPTdjNSI3SvUKu5fv48fKZvhLulPdyt7OE7awNuX9Ffj31/0E54TNwEd8tt8J6+AZdztf/7rUlaeCS8bDfCw2YLQjc4aU2c1uRxWRl2LN0Cd5sN2Dr3D0yItEZFlXbVKIAPQT3mGofQqT4ImuiDQBtfBNr4IsjGF0ETfRE00Qc7hCPYlhwhtj4ImeSDpD8CUHJN/1XYu9nncMI5Gvev6K/4UlpQjLzodL2cDDWVFZV4eEd7HPyTUn7tGm6tWYvL1hNwx165wJyhVFVW4cTeq4hRHUf41myEbclC2OZMhG/NQsS2bETaZyPS4Riith9DjNNxJHmdwjUtaj7/ZB4WP8ah3ecR6XAM4VuzEb4lC6GbMnUeecd1O9ZPCnMADMOoHACWA8BgMBgMBoNRf2C2lGEYlQMwZ84cWRWglStX6lQB+uyzz2RVgL7++mu8//77Bo2HfbQMBoPBYDAYhsNsKcMwKgcgNTWVqgNQVlaGDz/8ED16kCTJy5cv4/RpqQbwmjVrwHEcjhw5Ip47c+YMGjZsiPnz5xs0HvbRMhgMBoPBYBgOs6UMw6gcAAAYOXIkTExMMHfuXKhUKnz++ecwMTHBvn0kibBPnz7gOOnU3L9/Hx988AHeeustrFu3Dps2bULbtm3x9ttv484dw7Lc2UfLYDAYDAaDYTjMljIMo3MASktLMWfOHLRu3RqNGzdGt27dEBsrVW+RcwAA4OrVq/jpp5/QrFkzvPrqqxgyZAjOnVMu560L9tEyGAwGg8FgGA6zpQzD6ByAfxLso2UwGAwGg8EwHGZLGQZzAOoQ9tEyGAwGg8FgGA6zpQyDOQB1CPtoGQwGg8FgMAyH2VKGwRyAOoR9tAwGg8FgMBiGw2wpw2AOQB3CPloGg8FgMBgMw2G2lGEwB6AOYR8tg8FgMBgMhuEwW8owmANQh7CPlsFgMBgMBsNwmC1lGMwBqEPYR8tgMBgMBoNhOMyWMgzmANQh7KNlMBgMBoPBMBxmSxkGcwDqEPbRMhgMBoPBYBgOs6UMgzkAdQj7aBkMBoPBYDAMh9lShsEcgDqEfbQMBoPBYDAYhsNsKcNgDkAdwj5aBoPBYDAYDMNhtpRhMAegDsnIyADHcQgNDUVOTg472MEOdrCDHexgBztqcYSGhoLjOGRkZNS1WfdCwRyAOkT90bKDHexgBzvYwQ52sMPwIzQ0tK7NuhcK5gDUIYWFhQgNDUVGRsZz85DZbgObCzYfbD7YXLD5YPPB5qK+zEdGRgZCQ0NRWFhY12bdCwVzAIyEnBwWI6eGzYUUNh9S2HwQ2FxIYfMhhc0Hgc2FFDYf/3yYA2AksF9GApsLKWw+pLD5ILC5kMLmQwqbDwKbCylsPv75MAfASGC/jAQ2F1LYfEhh80FgcyGFzYcUNh8ENhdS2Hz882EOgJHAfhkJbC6ksPmQwuaDwOZCCpsPKWw+CGwupLD5+OfDHAAj4fbt21iyZAlu375d10Opc9hcSGHzIYXNB4HNhRQ2H1LYfBDYXEhh8/HPhzkADAaDwWAwGAyGEcEcAAaDwWAwGAwGw4hgDgCDwWAwGAwGg2FEMAeAwWAwGAwGg8EwIpgDwGAwGAwGg8FgGBHMAajHlJWVYd68eWjTpg2aNGmC7t27Iz4+vq6H9VwoKSnB4sWLMWjQIDRv3hwcx8HDw0O276lTpzBo0CC88soraN68OcaOHYs7d+483wE/Q9LT0zF16lR06NABpqamaNu2LUaOHImzZ89Sfev7XOTk5OCnn37C//3f/6Fp06Zo2bIlevfujfDwcKpvfZ8LJVasWAGO42BmZka1paSkoFevXmjatClatWqFadOmoaSkpA5G+WzYs2cPOI6TPQ4fPizpW9/nQk1GRgaGDh2K5s2bo2nTpjAzM8OWLVskfYxhLsaPH6/4bXAch2vXrol9jWE+ACA3NxejRo3CO++8g6ZNm+Ljjz/GsmXL8PDhQ0k/Y5mPFw3mANRjRo8eDRMTE8yZMwcqlQo9e/aEiYkJDhw4UNdDe+bk5eWB4zj85z//Qd++fRUdgKtXr+KNN97ABx98gC1btmDlypVo3rw5OnfujMePHz//gT8DRowYgdatW2PatGlwcXGBnZ0dWrVqhVdeeQUnTpwQ+xnDXERFRWHQoEFYunQpnJ2dsXnzZvTu3Rscx0GlUon9jGEu5Lh69SpMTU3xyiuvUA5AVlYWmjRpgk8++QSOjo74888/0bhxY3zzzTd1NNqnj9oBmD59Onx8fCRHfn6+2M8Y5gIA4uLi0KhRI/To0QMbN26Es7Mz5s+fj7lz54p9jGUuDh06RH0T3t7eMDU1RYcOHcR+xjIfV65cweuvv453330Xq1evhkqlgoWFBTiOw7Bhw8R+xjIfLyLMAainpKWlgeM4/P333+K50tJSfPDBB+jZs2cdjuz5UFZWhps3bwIAjhw5ougATJ48GU2bNsXly5fFcwkJCZRB+CKTkpJCGa25ublo3LgxfvnlF/GcMcyFHJWVlejcuTM+/vhj8ZyxzsWoUaPQr18/9OnTh3IABg8ejDZt2qC4uFg85+LiAo7jEBcX97yH+kxQOwDBwcFa+xnDXBQXF6NVq1YYPnw4qqqqFPsZw1woceDAAXAch5UrV4rnjGU+Vq5cKVvoa9y4ceA4Dvfu3QNgPPPxIsIcgHrK3Llz0bBhQ8kvHQCsWrUKHMfhypUrdTSy5482B+Ctt97CyJEjqfMfffQR+vfv/xxGV3d07doVXbt2Ff/bmOdiyJAhaNWqlfjfxjgX+/btQ8OGDXH8+HHKASguLoaJiYlk5RcAHj9+jFdffRXW1tbPe7jPBE0H4P79+6ioqKD6GMtcODo6guM4nDp1CgDw4MEDyhEwlrlQYvLkyXjppZeQl5cHwLjmY/78+eA4TrIzpj7foEEDPHjwwKjm40WEOQD1lAEDBqB9+/bU+cTERHAcJxvzXF9RcgCuXbsGjuOwdu1a6pqxY8eiRYsWz2mEz5/q6mq88847GDhwIADjm4sHDx4gPz8f58+fx8aNG9GwYUP8/PPPAIxvLgB+F6RTp06wtbUFAMoBOHjwIDiOQ1BQEHXtF198IXEkX2TUDsCrr74KjuPQsGFD9O3bF0eOHBH7GMtcjBgxAs2aNUNCQgI++ugjcByHV155BZMmTUJpaSkA45kLOcrLy9GyZUv06tVLPGdM8xETEyOG+2RlZeHKlSsIDAxEs2bNMHPmTADGNR8vIswBqKeYmZmhX79+1PmTJ0+C4zg4OTnVwajqBiUHQH3e29ubumbu3LngOA5lZWXPaZTPFx8fH3AcBzc3NwDGNxe2trZi8l6DBg3w008/iVvWxjYXAGBvb4/XXntNTHKu6QAEBweD4zjs37+funbkyJFo3br1cxvrsyQlJQUjRoyAm5sbwsLCsHr1arRs2RJNmjRBZmYmAOOZi06dOsHU1BSmpqaYNm0adu7ciWnTpoHjOIwePRqA8cyFHBEREeA4Dtu3bxfPGdt82NnZoWnTppJk6D///FNsN7b5eNFgDkA95f3338fgwYOp8xcuXADHcdi0aVMdjKpuUHIA9u/fr7g68ddff4HjOBQWFj6nUT4/Tp8+jWbNmqFnz56orKwEYHxzcfr0aSQkJMDLywvfffcdhg8fjlu3bgEwvrkoKChAixYtsH79evFcTQfA29sbHMchLS2Nuv7XX3/Fa6+99lzGWhecO3cOTZs2xaBBgwAYz1y8//774DgOkyZNkpxXO8+5ublGMxdyjBkzBi+//DIKCgrEc8Y2Hz4+Phg0aBCcnZ2xc+dOWFlZ4aWXXsK2bdsAGN98vGgwB6CewnYACGwHgHDz5k28//77aNu2La5fvy6eN8a50OTrr79Gt27dUF1dbXRzMWnSJHz44YeSRHFj3QFQYvTo0WjUqBEqKyuNZi7MzMzAcRz27dsnOb9v3z5wHAcvLy+jmYualJSUwNTUFEOGDJGcN6b5CAgIQNOmTXH16lXJeQsLC5iamqKgoMCo5uNFhDkA9RSWA0BgOQA8RUVF6NKlC1q0aIGTJ09K2oxtLmqiUqnAcRzOnDljVHORm5uLBg0aYOvWrcjLyxOPHj164KOPPkJeXh7u3r1r9LG8asevuLjYaObi66+/Fn8nNDl9+jQ4jsPmzZuNZi5qog6hDAgIkJw3pvno3bs3Pv/8c+r8rl27wHEcEhISjGo+XkSYA1BPmTNnjqwKkFq6i6kA8bz55puKai9yOygvKqWlpejduzdMTU1x6NAh2T7GMhdybN68WbJVbSxzoa3wlfqYMWMGioqKtKp5WFlZ1dEbPB9GjBiBJk2aoKqqymjmYsGCBeA4DklJSZLzSUlJ4DgOfn5+RjMXNfnmm2/w6quvUgWvjGk+PvroI/To0YM6HxQUBI7jEBMTY1Tz8SLCHIB6SmpqKlUHoKysDB9++KHsL219RpsDMGnSJDRt2lTiEKl3SRwdHZ/jKJ8dlZWVGDZsGExMTBAVFaXYzxjm4vbt29S58vJydO3aFU2bNhWrUxrDXABAfn4+du/eTR1mZmb4z3/+g927d+P48eMAeKOnTZs2uH//vni9q6ur+Me+PiBX6Tk7Oxsvv/yypLiRMcxFZmYmOI4T1bHUjBkzBiYmJmIIoTHMhSZ37tyBiYkJfv31V9l2Y5mPIUOGoFGjRlRF+R9++AENGjQw2u/jRYI5APWYkSNHit63SqXC559/DhMTEyqms76ybds22NnZYfLkyeA4Dj/++CPs7OxgZ2eHoqIiAHw1w5YtW+KDDz7A1q1bsWrVKjRv3hwdO3asN3HeM2bMAMdxGDp0KFXJ0sfHR+xnDHPxww8/oF+/fli6dKlYFbldu3bgOA4bNmwQ+xnDXGhDrhBYRkYGGjduLKno2aRJE1FKtj7w1Vdf4dtvv8WKFSvg7OyMmTNnwtTUFK+99pqohw8Yx1wAgJWVFTiOw//+9z84ODhg5MiR4DgOCxcuFPsYy1yo2bZtGziOQ2xsrGy7scyHum7IW2+9heXLl8PBwQGDBw8Gx3GYMGGC2M9Y5uNFhDkA9ZjS0lLMmTMHrVu3RuPGjdGtWzfFf7TqI++++65iWIO6cAsA5OTkYODAgTA1NcXrr7+OX375RVSEqQ/06dNHa4iHJvV9LgICAjBgwAC0atUKJiYmaN68OQYMGICwsDCqb32fC23IOQAAX/n0888/R5MmTfDmm29i6tSpkpW9F50tW7age/fuaNGiBUxMTNCmTRuMHTsW586do/rW97kA+N2xpUuX4t1338XLL7+MDz/8UFZBzhjmQs1///tfvPXWW6KCmhzGMh9paWkYPHgwWrdujZdffhkfffQRVq5cSRXQM5b5eNFgDgCDwWAwGAwGg2FEMAeAwWAwGAwGg8EwIpgDwGAwGAwGg8FgGBHMAWAwGAwGg8FgMIwI5gAwGAwGg8FgMBhGBHMAGAwGg8FgMBgMI4I5AAwGg8FgMBgMhhHBHAAGg8FgMBgMBsOIYA4Ag8FgMBgMBoNhRDAHgMFgMBgMBoPBMCKYA8BgMBgMBoPBYBgRzAFgMBgMBoPBYDCMCOYAMBgMBoPBYDAYRgRzABgMBuMfioeHBziOQ15eXl0P5blT1+9eUVGBFStW4L333kPTpk3x5Zdf4uzZs3pfv3btWnz88ceoqqqS3HPRokVo06YNWrZsiVmzZqG6uhoA4OjoiLZt26KsrOypvwuDwWDUhDkADAbjheP48eMYMWIE/vOf/6Bx48Z4++23MWDAAGzduvWZPC8lJQVLlixBYWFhrdqelLo2guuSp/3u6enpmDp1Kjp06ABTU1O0bdsWI0eOlDXqKysrMXToULRs2RIrVqzAxo0b8cYbb+Cjjz5CRUWFzmcVFxejRYsWcHd3l5yfPn06hg8fjnv37uHevXvo2LEjgoKCAAClpaVo1aoVtmzZ8lTel8FgMLTBHAAGg/FCkZKSgkaNGuHDDz+EnZ0dXFxcsHjxYgwcOBAffPDBM3nm33//rWiMamt7UiorK1FaWiquEhsTT9sBGDFiBFq3bo1p06bBxcUFdnZ2aNWqFV555RWcOHFC0nfNmjUwNTVFTk6OeM7Pzw8cxyEhIUHnszZt2oRmzZqhtLRUPHf16lW8/vrrKCoqEs/NmzcP8+bNk/z3u+++a5Q/bwaD8XxhDgCDwXih+Pbbb/Hmm2/Krrjfvn37mTyzLhyABw8ePNX7vWg8bQcgJSUFjx8/lpzLzc1F48aN8csvv4jnioqK0KxZM/zxxx+Svnl5eeA4DuvXr9f5rE6dOmHs2LGSc35+fhg0aJDk3IQJE7Bhwwbxv48ePQqO45CUlKT3ezEYDIYhMAeAwWC8UHz88cfo27evXn2vXbsGKysrtGnTBo0aNcJ7772HSZMmiYbgpUuXMHnyZHz00Udo0qQJWrRogZ9++klidC5ZsgQcx1FHXl6e1jb18y0tLfHWW2+hUaNG6NChA9zc3Khxqu9z8uRJjBkzBq+//jq6dOkiawSr+547dw7jx4/Ha6+9hmbNmsHCwgIPHz6k7r1nj+zwmgAACIlJREFUzx58+umnaNy4Md5//304OTmJ99CGPnNjyJj0HY/cu+s7n7Wha9eu6Nq1q/jfDg4OeOmll3Dp0iVJv2vXroHjOCxZskTr/S5evAiO4+Dp6Sk5v3XrVowaNUr87/LycrRt2xYpKSmSfi1atMD06dMNfBsGg8HQD+YAMBiMF4qBAwfiX//6FxW2UZPr16/j7bffhqmpKWbOnAknJyf89ddfaN++vbh7EBwcjM6dO2Px4sVwdnbGH3/8gebNm+Pdd98VDddjx45hzJgx4DgOmzZtgo+PD3x8fPDgwQOtbbdu3cK///1vtG3bFsuXL4ejoyOGDRsm9tVEbQB36NAB33//PbZv3w4HBwetDsAnn3yCH3/8Edu3b8eECRPAcZwknAQAMjMz0bhxY7z33ntYs2YNVq5cibfffhudO3fW6QDoMze1HVNtxlPz3Wszn/pSXV2Nd955BwMHDhTP9e/fH2ZmZsjPz5cchw8fBsdxWLdundZ7+vr6guM4HD9+XHI+JSUFbdq0wbVr11BYWAhLS0sMHTqUun7AgAH49NNPDXofBoPB0BfmADAYjBeK+Ph4NGzYEA0bNkTPnj0xb948xMXFoby8XNJv3LhxaNCgAY4cOULdQx1j/ejRI6pNbeh5e3uL5wwJAbK2tkabNm1QUFAgOT969Gi89tprkmerDegxY8ZI+mpzAKysrCR9hw8fjpYtW0rODR06FKamprh+/bp47ty5czAxMdHpAOg7N7UZU23GU/PdazOf+uLj4wOO48RdhMrKSrzyyiuyuzrqIzg4WOs9Fy1aBI7jUFJSQrUtW7YMb775Jlq0aAFbW1vZMK+JEyeiadOmtX4XBoPBqA3MAWAwGC8c6enpGD58OExNTUXD7M0330RYWBgAoKqqCs2aNcP333+v9z3Ly8tRUFCA/Px8vP7665g5c6bYVlsHoLq6Gq+//jomTpxIrSSrDduDBw+K/dUG9L59+yT31uYApKenS/pu3LgRHMehuLgYAG/MNm3aFD///DM15qFDh+p0APSdG33HVNvxaL57bedTH06fPo1mzZqhZ8+eqKysBACcPXtW3LVISEiQHOqdHl1SoJMnT4aJiUmtxqLJ/PnzwXGcbDgXg8FgPC2YA8BgMF5YHj9+jPT0dCxcuBBNmjTByy+/jJMnT+LWrVvgOA5//vmn1usfPXqEv/76C//+97/x0ksvSVZ6LS0txX61dQBu376tdRWZ4zjs2rVL7K82oK9cuSK5tzYH4NatW7J91bHrN27cAMdxWLx4MTXmWbNm6bUDoM/c6Dum2o5H891rO5+6uHnzJt5//320bdtWshsRFxcHjuMQHR1NXdO/f3+0atVK572f1AGYN28eOI4zaEeDwWAw9IU5AAwGo16gNhiXLl2qtwNgbW2NBg0aYPbs2QgODkZ8fDwSEhLQsmVLjB8/XuxXWwfg5s2b4DgOY8eOpVaS1YemYpHagM7Pz5d9JzkHQFffJ3UA9J0bfcf0JA5AbedTG0VFRejSpQtatGiBkydPStp27doluxNTVFSERo0aYdKkSTrvrw4Bun//vl7jqYmNjQ1MTU0NupbBYDD0hTkADAajXnDixAlwHAdbW1u9Q4Bee+01ajW7tLQUDRs2lBi569evV3QA5NoqKyvxr3/9i4rpV+JZOACVlZVo0qSJwSFA+s6NvmOq7XhqXlub+VSitLQUvXv3hqmpKQ4dOkS1JyQkgOM4REVFSc5v2bIFHMfh2LFjOp+hTgLWp68cLAmYwWA8D5gDwGAwXiiSk5NlCyWtXbsWHMdh48aNAPRLAm7RogUsLCwkbevWrQPHcRIj19HRERzHISsri7qXUpuFhQUaNWokq1Z0584dyX8/CwcAAIYMGWJwErC+c1ObMdVmPDWvrc18ylFZWYlhw4bBxMSEMvDV3L59Gw0aNMCcOXPEc1evXsUbb7yBcePG6XwGAFy4cEGSWFxbWrRogWnTphl0LYPBYOgLcwAYDMYLhZmZGf7v//4Ps2fPhrOzM+zt7fHzzz+jYcOGeO+990SJz2vXrqF169aiDKhKpcLSpUthZmYm9hk3bhwaNmyIGTNmQKVSwcLCAv/+97+pMJf09HRwHIdvv/0W3t7eCAgIEBVclNpu3bqFd999F6ampuL9V69ejZEjR6J58+aSd3pWDsDRo0fF+gdr167FqlWr8Pbbb6NLly46HQB956Y2Y6rNeORkQPWdTzlmzJgBjuMwdOhQUa5V81Dz448/4uWXX8bixYuxYcMGtG3bFp07dxaTq/XB3NzcoN0KdSGwxMTEWl/LYDAYtYE5AAwG44UiJiYGVlZWaNeuHV599VU0atQIH374IaZNm0bFgV++fBnjxo3Dm2++KRaemjp1qlgITK3H/sYbb+DVV1/FoEGDcObMGbz77ruUkWtnZ4d33nkHDRo0oAxtpbbbt29j6tSpaNu2LV5++WW0bt0a/fv3h7Ozs+Tez8oBAICkpCR88sknaNSoEf5/+3aPqkgQhQE0EoUWg07sRA0UXIahoeAKDEyNDBTcgJGYCdJbcgO9CDHsRO4LhplgkIcyIzNY58RV8HGzr36Gw2GUZRnr9Tparda3c35lNq9kejbPo73PzvORyWTy7Sfin67Xa8zn88iyLLrdbqxWq5ff8x8Oh2i32y9/5N1sNtHv9x/ecAH8TQoAQGJms1mMRqN/HeOX/y3Pn7rdbpHneZRl+fSeuq6jKIo4Ho9vTAbwgwIA8MF+P4WuqioajUYsl0t53mi/38d4PI77/f7U+tPpFL1eL+q6fnMyAAUA4KMVRRHb7TbO53PsdrvI8zyyLIuqquQBSJQCAPDBFotFDAaDaDab0el0YjqdxuVykQcgYQoAAAAkRAEAAICEKAAAAJAQBQAAABKiAAAAQEIUAAAASIgCAAAACfkCLERCgwUo0a0AAAAASUVORK5CYII=\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = subplots()\n",
    "for i, a in zip(imgs, ais):\n",
    "    jupyter.plot1d(a.integrate1d(i, 1000, unit=\"2th_deg\", method=method), \n",
    "                   label=\"%.1f$^o$\"%numpy.degrees(a.rot2), ax=ax)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creation of the MultiGeometry\n",
    "\n",
    "This time we will work in 2theta angle using degrees:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MultiGeometry integrator with 5 geometries on (0, 90) 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=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "area_pixel=1.3223150558322514 area_sum=2.694867349304461, Error= -1.0379918820544165\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f029d912c88>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mg = MultiGeometry(ais, unit=\"2th_deg\", radial_range=(0, 90))\n",
    "print(mg)\n",
    "fig, ax = subplots(2, 1, figsize=(8,12))\n",
    "jupyter.plot1d(mg.integrate1d(imgs, 10000, method=method), \n",
    "               ax=ax[0])\n",
    "res2d = mg.integrate2d(imgs, 1000,360)\n",
    "jupyter.plot2d(res2d, ax=ax[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## How to fill-up gaps in arrays of pixel detectors during 2D integration\n",
    "\n",
    "We will use ImXpad detectors which exhibits large gaps.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "None\n",
      "0.074894994\n",
      "0.03757\n"
     ]
    }
   ],
   "source": [
    "det = pyFAI.detectors.detector_factory(\"Xpad_flat\")\n",
    "p1, p2, p3 = det.calc_cartesian_positions()\n",
    "print(p3)\n",
    "poni1 = p1.mean()\n",
    "poni2 = p2.mean()\n",
    "print(poni1)\n",
    "print(poni2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"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": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f029d946be0>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ai = AzimuthalIntegrator(dist=0.1, poni1=0, poni2=poni2, detector=det)\n",
    "img = LaB6.fake_calibration_image(ai)\n",
    "jupyter.display(img, label=\"XPad S540 simulated LaB6\")\n",
    "jupyter.plot2d(ai.integrate2d(img, 500, 360, azimuth_range=(0,180), unit=\"2th_deg\", dummy=-1, method=method2d), \n",
    "               label=\"2D\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To observe textures, it is mandatory to fill the large empty space. This can be done by tilting the detector by a few degrees to higher 2theta angle (yaw 2x5deg) and turn the detector along the azimuthal angle (roll 2x5deg):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MultiGeometry integrator with 9 geometries on (0, 60) radial range (2th_deg) and (0, 180) azimuthal range (deg)\n"
     ]
    },
    {
     "data": {
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       "/* 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",
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       "    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",
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       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
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       "\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 0x7f029bf9b208>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "step = 5*pi/180\n",
    "nb_geom = 3\n",
    "ais = []\n",
    "imgs = []\n",
    "for i in range(nb_geom):\n",
    "    for j in range(nb_geom):\n",
    "        my_ai = copy.deepcopy(ai)\n",
    "        my_ai.rot2 -= i*step\n",
    "        my_ai.rot3 -= j*step\n",
    "        my_img = LaB6.fake_calibration_image(my_ai)\n",
    "        ais.append(my_ai)\n",
    "        imgs.append(my_img)\n",
    "mg = MultiGeometry(ais, unit=\"2th_deg\", radial_range=(0, 60), azimuth_range=(0, 180), empty=-5)\n",
    "print(mg)\n",
    "res2d = mg.integrate2d(imgs, 1000, 360, method=method2d)\n",
    "jupyter.plot2d(res2d, label=\"Filled\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As on can see, the gaps have disapeared and the statistics is much better, except on the border were only one image contributes to the integrated image.\n",
    "\n",
    "## Conclusion\n",
    "\n",
    "The multi_geometry module of pyFAI makes powder diffraction experiments with small moving detectors much easier.\n",
    "\n",
    "Some people would like to stitch input images together prior to integration. There are plenty of good tools to do this: generalist one like \n",
    "[Photoshop](http://www.adobe.com/fr/products/photoshop.html) or more specialized ones like [AutoPano](http://www.kolor.com/autopano). More seriously this can be using the distortion module of a detector to re-sample the signal on a regular grid but one will have to store on one side the number of actual pixel contributing to a regular pixels and on the other the total intensity contained in the regularized pixel. Without the former information, doing science with a rebinned image is as meaningful as using Photoshop.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Excution time: 13.932\n"
     ]
    }
   ],
   "source": [
    "print(\"Excution time: %.3f\"%(time.time()-start_time))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.7 local venv",
   "language": "python",
   "name": "python3.7"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
