{
 "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:  0.16.0-dev0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/users/kieffer/VirtualEnvs/py3/lib/python3.5/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n"
     ]
    }
   ],
   "source": [
    "%pylab nbagg\n",
    "import time\n",
    "start_time = time.time()\n",
    "import pyFAI\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",
      "NaCl, LaB6, Si_SRM640d, CuO, CrOx, C14H30O, Si_SRM640b, Au, PBBA, AgBh, alpha_Al2O3, LaB6_SRM660a, TiO2, Si_SRM640c, mock, Cr2O3, Si_SRM640, Al, CeO2, Si_SRM640a, LaB6_SRM660b, quartz, Ni, Si, ZnO, Si_SRM640e, cristobaltite, LaB6_SRM660c\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 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"
     ]
    }
   ],
   "source": [
    "from pyFAI.azimuthalIntegrator import AzimuthalIntegrator\n",
    "ai = AzimuthalIntegrator(dist=0.1, poni1=poni1, poni2=poni2, detector=det, wavelength=wavelength)\n",
    "print(ai)"
   ]
  },
  {
   "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",
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       "                // 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",
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       "\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",
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       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
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       "\n",
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       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "<img 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\" 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     },
     "metadata": {},
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    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ff924693160>"
      ]
     },
     "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\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"639.8333142648146\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ff922f3c828>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jupyter.plot1d(ai.integrate1d(img, 1000))"
   ]
  },
  {
   "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\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
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\" width=\"999.1666368891804\">"
      ],
      "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\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"639.8333142648146\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = jupyter.plot1d(mg.integrate1d(imgs, 10000))"
   ]
  },
  {
   "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\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"639.8333142648146\">"
      ],
      "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\"), 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\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
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\" width=\"639.8333142648146\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ff922d83748>"
      ]
     },
     "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\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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19/Li0NTzR7SJcXzargkKzh++rzZQzJN3yXbvd6LlJ3HzB6ShplDjEFXJ5x0RPbiWYZJkhXIc3PMHhIBKDp13uvvpXnfJLOHdElpOXAl1547eS7jkGQFS7ccNntIGmYOMQZdnXDSEdnLuFX5Xh+CH07OMHtIBKCwuNzr7+XOLgqqqiOr2H8ka9Yzwev9yzt6yuwhmeaTqZu83otI6rTHzCHGoKsTTjoie+lT67ZmpNXZtKudR055/b3Y/fZ7OCoqq33eu6z9JWYPyzTvTFjv9V7Erd1r9pA0zBxiDLo64aQjspcu83K8PgTfHJNm9pAIQNb+Ep+wlnskcnbLR7KjZed83ru0/ONmD8s0r41c4/VeRFJNZmYOMQZdnXDSEdnLVzMyvT4EXx2x2uwhEYB1+cU+YW1TwUmzh3VJ2HG4zOe9W5F71Oxhmab2euUB8blmD0nDzCHGoKsTTjoie6m9fu+5wSlmD4kArMg96ntVcrd9r0qGY3PhSZ/3bknOIbOHZRrPMnWSrKDnwq1mD0nDzCHGoKsTTjoie/nXpI2QZAVNesRDkhU8Fbvc7CERACXnMCRZQdOeCbir61LbX5UMR1q+u2TeI32SIm4DlpFqamq0+XP/9+rv+Dezs80eloaZQ4xBVyecdET28ta4dZBkBU//sAKSrODh3olmD4kAzNl0wFlWLBn3OQNKJJWFimQrc49plSpct+2nrNtn9rBMcea8ux7z80NWQZIVdPx1k9nD0jBziDHo6oSTjsheXh+9VlubK8kK/tRjmdlDIgBT1+2DJCtoMWCldlVyfia71oUifqt6Nfy+7+Px0rBUSLKCsavyzR6WKQ6XnvWqqCLJCt6buNHsYWmYOcQYdHXCSUdkLy8OTfX6EJRkBTU1rNdqtvGp+VpHtKdil0OSFfy2sdDsYV0SXE1QHu6diDbODmlDkvLMHpYpdh11l6n7ZrbaOKJtBFVWYeYQY9DVCScdkb24bu1+/pu7+sK5C1VmD8v2hifvgiQreH30Wjw3KAWSrGBSBNU/jWQzNhZCkhX8OXY5/neC+gWun7Ld7GGZYuvBUu33OnbpDkiygpeGRU47aWYOMQZdnXDSEdnL4/2StZ3Yrg/Ek2cqzB6W7f2wLBeSrODt8evw8nB1WcmYFHvefg9X3Nq9kGQFzw5KwYeTMyDJCrov2GL2sEyxqeCE9nvt6oL4lwErzB6WhplDjEFXJ5x0RPbyQIzaKnVoUp72gXio5KzZw7I91xePD+LS8Ybz9vtQm95+D5cr0L00LBVfOO9UfD0ry+xhmcKzAsWsjP2QZAWP9kkye1gaZg4xBl2dcNIR2cs93ZZpbUFdH4j5RafNHpbtdZ6jrqfsNG0z2o9XW7jGLtth9rAuCZ7LPuS5ORFXacBIK3e6K1AkbDsCSVZwb/fI2XDKzCHGoKsTTjoi+6iqrtHC7cKsg9o/bz1YavbQbM+1Zvr/ZmXjfWet45hF28we1iXhx3h12cdb49YhZtE2SLKCf0ZQpQEjxW89otXJXrvbfXW3sqra7KEBYOYIhEFXJ5x0RPbhWWMzNa9I++eMfSfMHprtudaW9liwFR1/VbvXyXNzzB7WJaHXYne4HeAMve3GrTN7WKZwfYF9qHciMj06xpWevWD20AAwcwTCoKsTTjoi+yg+fV774Ms5UKL98+pdRWYPzfbemaAuV+i/dAf+MzMLkqzgqxmZZg/rktB1/hZIsoIOUzIwaoW6jOG1kWvMHpYpXOtyn+ifjB2Hy7Tf8WOnzpk9NADMHIEw6OqEk47IPg6cLNc++HYfO417u6vrdRO3HTF7aLbnWf+1yzx1neknU+25zjRcX89Svxh88VsmJqzeA0lW0GpwitnDMsXU9QVa45H8otPa7/v+E+VmDw0AM0cgDLo64aQjso/dx9wffAdOluOh3onael0yl2dJMdc6039Nsuc603B1mrYZkqyg85xsTN+g1tR9Kna52cMyhSvotx6yyuuLbaRsOGXmEGPQ1QknHZF9eBaTLz59Hn92duCamc4OXGaLdjbymJy2z6umLgX377h0SLKC7xdu9eqSZkejV+6GJCv468jVOHbqnPb7vuNwmdlDA8DMEQiDrk446YjsI2Ofu5j8mfOVWgeuOHbgMt0T/dVGHrPS92NYslrj+I2f1po9rEuCZze0SCypZaQhzvrYbcekobT8gvb7nr2/xOyhAWDmCIRBVyecdET2sXqXu9JCVXUNXmEHrojhauSxKPsQxjobILw8fLXZw7okvDkmDZKsYHDiTq9qIlXVNWYPzXCxy9S2v//4eT3OVlRp78XGvZFRWYWZQ4xBVyecdET2kbT9KCRZwT3d1KtdbZ0BYQg7cJnO1cgjaftRrZnHc4NSzB7WJeGvI9UvbKNX7kZ6rbsWduNa3/3+pI1edbPX7Dpu9tAAMHMEwqCrE046IvtYlH0IkqygWUwCAPct3/5L2YHLTJVV1VogWbv7OGZstPeGqnA9P2QVJFnBhNV7kL3fXTavpLzC7KEZrsu8LV4VO+7uuhSSrGBF7lGTR6Zi5hBj0NUJJx2RfbhqbD7eLxmAd5MCMs9pj0YeGftOYH7mAUiygkf6JJk9tEvCXwasgCQrmLq+wLt2bFlk1I41kqvU2pfOGsz3fR8PSVawbMthk0emYuYQY9DVCScdkX1MWbdPq7EJuNvOfjs72+SR2dvJMxVejTyWbTkMSVZw3/fxZg/tkvBYP3Uj3+yM/RFZO9ZInaa7S60BiLgSgswcYgy6OuGkI7KP8anqJqcXh6YCAL6dnQ1JVtBp+maTR2ZvR8vcZaByj5RhZe4xSLKCO7soqKmx34aqcDVzbuRbnH0I+0+4a8fuiZDasUZy3aXpvmALAOBx55eAWRn7TR6ZiplDjEFXJ5x0RPYxPFltj/r6KLU9ajeP1qlkHs9wll90Gmn5x7U/V1RWmz28iOfayJe47YjPlwa7efcXdd19nyXbAbiXdfy6vsDkkamYOcQYdHXCSUdkHz/Gq40I3hqnNiLotZgduCJB7dvtmwtPan8uO3fB7OFFtGqPygKpeUU+y0Dspt24dZBkBQPicwEArQartbJ/WRMZtbKZOcQYdHXCSUdkH70Xb4ckK3hvohpsY5eqNTffmbDe5JHZW+0NVNsPefz5lP02VIWjdq3YMx4b+zYVREbtWCO9PnotJFnB8ORdALxbS0cCZg4xBl2dcNIR2UePBVshyQo+nJwOABicuBOSrKDdWLaaNZNnSayTZyqwx+YbqsJR+wpuRaW7VFtafmTUjjWSK9iOXaUG29rB12zMHGIMujrhpCOyD3luDiRZQcdf1RqbI5Y71+yOZqtZM9VuzXyo5Kz2511HT5k9vIh2uNT9Xu08cgo1Ne6lDCk7j5k9PMM951yqMMnZ1tu1lGFgQq7JI1Mxc4gx6OqEk47IPv5vllpl4fPf1BqbY1LUKgyvsNWsqdJ2uzefXaiqRvHp89qftx4sNXt4EW3f8TPae1VQfAYAcE93d5c5u3n6B3Xz2fQNhQDcm9P6OjenmY2ZQ4xBVyecdET28YWzbu7Xs7IAAL+sUVvNPj9klckjs7eVO49pYa2mpgZl5y5of84sPGn28CLaziOntPfqSKm6nrlpT7XcmJITGU0SjNS8r1pObO6mAwCAf8elQ5IVfL8wMprCMHOIMejqhJOOyD4+nbYJkqzguzk5AICpzgYSLQeuNHlk9pa47QgkWcE93ZcBAM5d8N5gRWJbD5Zq71Xx6fMAgEf6JEGSFczPPGDy6Iznqim8JOcQAKDjr+rvvDw3x+SRqZg5xBh0dcJJR2QftYvJz0wvhCQr+HPscpNHZm9Lcg5BkhU065kAAKjyKJm1drf9NlSFw18ptif7L1ebJKRHRpMEI9VetvHVDOddnJlZJo9MxcwhxqCrE046Ivv416SNkGQFMYu2AQDmbT4ASVbQvG+SySOzN9ffwyN93H8Pd3VdCklWsDLXfhuqwrFxr3sj39mKKgDuJglTI6RJglE8N+Kl5hUBADrPcXY/nBYZ3Q+ZOcQYdHXCSUdkH/87Qd2Y0n/pDgAeVxJjEkwemb25rqw/2d99Zf1PPdQrcwnbjpg4ssi31mMjX2WV2kUu0pokGMVzycuGPcUAgO4LtjhLCkZG90NmDjEGXZ1w0hHZR+2uSQnOtaF/6rHM5JHZm2utdIsB7rXStddakn8ptTbyAb61ZO2i9Kx7E2PWfrUrXO0mMWZj5hBj0NUJJx2RfbT5SS0ePzQpD4B7t/+dXRSTR2ZvruoXrQanaMea97XvhqpwJG0/qm7k6+b+svb6qDWQZAUjlkdGkwSjHDt1Tgu62w+VAXC3/X57fGQ0hWHmEGPQ1QknHZF9vDZSDQCjVqgBwPO2b1V1jcmjsy9XPeOXPeoZ/zlW3VA1M73QxJFFvmVbDkOSFdz3fbx27O9j0yDJCgYl7DRxZMbbf6Jc+33OLzoNABialAdJVvDGT5HRFIaZQ4xBVyecdET28dKwVK9buukeHbnOXagyeXT2NTzZt0NdiwErbbmhKlyLstV15g/2StSOvTNhPSRZQaxzLbpd5PtpHT165W5IsoJXR0RGUxhmDjEGXZ1w0hHZR+1NOln7S7QPxtKzF0wenX0NStgJSVbw97Fp2jHX39VEm22oCtfcTb6VQ96vVV3ELnKPlGm/z0fL1OYZE1bvgSQraB0hTWGYOcQYdHXCSUdkHy0HqlcJp6zbBwDYfsj9wXjcWWyfjNd/6Q5IsoJ3JqzXjrmuvo+z2YaqcPmrWNFhilovuuv8LSaOzHhbDribZ5w4UwEAmBJhTWGYOcQYdHXCSUdkH085133+tlFd97n7mLt96qGSsyaPzr5iFm2DJCt4f5J7Z7xrQ5VrPTX5N3V9ASRZwV8GrNCOfTZ9MyRZwbezs00cmfE2FbibZ5xyNs/w90XATMwcYgy6OuGkI7KPx/olQ5IVzM5QO0YVFJ/RPhgLis+YPDr76jpfrXXaYYq71umbY9QNVUMS7bWhKlyT1qoVK54blKId+3pWFiRZwZczMs0bmAnW7yn2WXM/P9O3GYmZmDnEGHR1wklHZB8P9U6EJCtYmKX+vh8uPat9MO46esrk0dnXN7PV7lWfTXd3r2o/Xt1Q9cOyXBNHFvnGp6oVK14cmqodk+fmQJIVdPx1k4kjM96aXb5VVJQctSpF056R0RSGmUOMQVcnnHRE9tG0p9qEQMk5DAA4fvq89sG47VCpyaOzry9+y4QkK/h6VpZ27L2J6oaqPku2mziyyOevqsD3C7c6u4Glmzgy463MVeti39V1qXbMX51hMzFziDHo6oSTjsg+7umutpVNdLaVLTvn7qSUWXjS5NHZV8dfN0GSFchzc7RjH05OhyQr+H7hVhNHFvlcpdn+5lGare8StRvYu79sMHFkxvPX6TA1r0j7Ha+OgFrZzBxiDLo64aQjso87u6gfeCtzjwEAzl2o0j4EN+49YfLo7Ovfcb6h9tNpvuGXfPkrzebqBvbWuMjoBmaUJTlqTeFmMe5lCv7W7ZqJmUOMQVcnnHRE9lBVXaN94K3ZdVx4jIz37i8bIMkK+nosU/hyhu9yBvIVu0wtzdZ+vLs0m6sbWJsI6QZmFH8bzzYXuisxlJ0zv1Y2M4cYg65OOOmI7MHz6u36PcXa8bu6LvW6ykvGe2vcOkiygh/j3RvPXBvUPv/NXpUDwtV7sbpM4b2J7tJsrnW7fx0ZGd3AjDIrfT8kWcET/ZO1Y1sPumvrFkdArWxmDjEGXZ1w0hHZw+nzldoH3qYC93rcJj3iIckKEpzrdsl4b/y0FpKsYGhSnnasyzy15NgnU+1VOSBcro1n/45zbzxzdQN7YWhkdAMzyq/OmsLP/OiuKeyvW5qZmDnEGHR1wklHZA8nz1RoH3g5B0q04w/EqJUYFmcfMnF09vbqiNWQZAWjV+7WjvV0BrgP4uxVOSBcXebl+HwhmJymdgN71qO2rh34qym8+9hp7ff+wMly8wbnxMwhxqCrE046Ins4duqc9mN8M+cAACAASURBVIG343CZdrx5X7WJxLzNB0wcnb29MHQVJFnBz6l7tGP9FHtWDgiXvxrEv21Uu4E9/cOKAK+0np9T9/jUFC4sLtd+7/ceN78pDDOHGIOuTjjpiOzhYIm7OcTuY+7mEK62wDOcbYHJeNEDV0KSFUxO26cdG2DTygHh0jbtzXRv2pu7Sd2U1bxvcoBXWo+/tcmHSiKrKQwzh5ilg25ubi5at26N+vXro1GjRujcuTMqKiqCvq6goADt27fHH//4RzRo0ACPPfYY5s+fH9bP5qQjsgdRu9+WzpA1dd0+8wZnc64vG795fNmwa+WAcHWathmSrKDznGzt2KJstczWg70STRyZ8YYlq3PmDY85U3TK3RRm+6GyAK82BjOHmGWD7smTJ3HLLbegZcuWSEhIwMSJE3Hdddfhs88+C/i68+fPo0mTJmjSpAlmzZqFpKQkvPfee4iKisLy5ctD/vmcdET2sPvYKe0D72DJWe146yHqbfMJq/cEeDXpybV8ZM4m9/IR19W510auMXFkka/DlAxIsoJu87dox+K3qo0TmvSIN3FkxhuYoN4FaOdxF6Ck3L02P3t/SYBXG4OZQ8yyQTc2NhYNGjTAiRPuYu3jx49H3bp1ceiQeHPI+vXr4XA4kJKSoh2rrq7GHXfcgY8//jjkn89JR2QPOw67d18f89h9/cpwdSPUmJR8E0dnb64NgYs8NgSOT833WW9Jvt6fpLZKjlm0TTvmrxWuHfRfqtYUfmeCu6awd7UV85vCMHOIWTbotmjRAm3atPE6VlJSgqioKMTFxQlft3r1ajgcDmRmetdYfOCBB9ChQ4eQfz4nHZE95Bwo0T7wTp5xL43622i1tNXw5F0mjs7e/tRDbc0cv9Vd4i3Ozw568uWv2caaXce1uV4VAW1vjRKzaBskWcG/JrlrCp+v9F8/2yzMHGKWDbo33XQTunfv7nP81ltvhSzLwtdVVlaiadOmeOWVV7B3716UlJRg5MiRqFevHjZu3Ch8XW2cdET2sKnA3SHplEeHpHZj1WYFgxJ2mjg6e3M17ViRe1Q7Nm2Db01U8uWv2cbGvSciqu2tUbrNV2svfzQlQztW7dH9cPWuIhNHp2LmELNs0L3sssswaNAgn+NNmzYNemX22LFjePzxx+FwOOBwOHDVVVdh0aJFAV9TVlaGgwcPao+MjAxOOiIbEPW8/98J6hWx/kt3mDg6+xK1YZ6V4dvliny1HZMGSVYwJNH9Rc2z7e2pCGh7a5TOc9RSa52mbfY6fmcXJWK6HzLoijHo1nL27Fm0aNECTzzxBBYsWIAVK1agY8eOqF+/PtasEW9eiImJ0YKx54OTjsjaRLdz/a1xJON4tmbe4HFreUHmQUiygod726tyQLj+36g1kGQFI5e7l954tr31XKZjdV/PzIIkK/hqhveSxnu7q0tjEiOg+yGDrphlg+5/u3Rh1KhRuPLKK1Fc7L3mpnXr1mjRooXwdbyiS2RPrg06d3ZRvI5/PNV31zoZ59S5C35bMys5hyHJCpr2TDBxdJHvZT+bKT3b3h6LgLa3Rvlsulpq7dvZ2V7Hm/ZUNzsqOYdNGpkbg66YZYNuixYt0LZtW69jpaWlQTejffrpp7jnnnt8jnfu3Bm33npryD+fk47IHhK3qSWX7um+zOu46MORjCFqzZy0/ajfvy/y9ryf8niebW89S+lZnetLa9daX1of6p0ISVawMMv8z3lmDjHLBt3Y2Fhcc801KClx/w9uwoQJQcuL/fjjj6hXrx6OHz/udbxVq1Z4+umnQ/75nHRE9rB0i/8rhF/PUm93flnrdicZw7M1s2dB/5Sd6hX4O7ooqKmxT+WAcPnrKufZ9nZfBLS9NcoHcel+lyE91s+3TrNZmDnELBt0XQ0joqOjkZiYiEmTJqFhw4Y+DSNatWqFVq1aaX/ev38/rr32Wjz22GOYO3cuEhMT8dFHH8HhcGDGjBkh/3xOOiJ7WJilrvl8qNaaz+/m5PjdwELGOCho0Zq2272murKq2sQRRranf1gBSVYwfYO7q9whQbtrq/NXag3w33nPLMwcYpYNugCwY8cOPP/887jqqqtw880349tvv/VpARwdHY3o6GivY5s3b8Yrr7yCm2++Gddccw2aN2+O6dOnh/WzOemI7GHOpgOQZAWP9fPexe8qSdTBoyQRGcezNbPn1cf0fe4SWeUVlSaOMLI97rxaOStjv3bMs+3tjsPmt701ir9SawDQYkDktPlm5hCzdNA1EycdkT38trEQkqzgqVjvFuGuIvPvTwq9/jZdPJ7rSQ+cLNeOZ+13N/goLbdPiaxwPdInCZKsYH6m+7a8Z9tbz3XPVtfmJ7X5y5CkPK/jrQanQJIVTFyz16SRuTFziDHo6oSTjsgepq7bB0lW0HLgSq/j/ZTtkGQF7/6ywaSR2ZtnhYCjHhUCth9yHy86dd7EEUa2Zs6KAkty3HtavNvengzwamt5baRaam3UCu8uhy8NS4UkKxi3yvw238wcYgy6OuGkI7KHX9aoLWVbDU7xOj4gPheSrOCtcevMGZjNedZ8LT7tDrS7j53Sjh+yUeWAcPlrnxxpbW+NIgq0fx2plmAbvXK3SSNzY+YQY9DVCScdkT2MW5UPSVbw0rBUr+NDkvIgyQrajkkzaWT25tnFq/Sse4mCaO0uefPXPrla0G3O6kRLFN5wLmkYlpwneKVxmDnEGHR1wklHZA+jVuyCJCt4beQav8f/3yhxR0XSz8a97k1nZyvcrZkPCaoxkFtNjTvQpuYVeT2ntb3daX7bW6Nom87WF3gdbzdW3aQ2MCFX8ErjMHOIMejqhJOOyB6GOq/ctvlprdfxsc4rvS8PX23SyOzNs4zYBY8yYqL6uuRWUVmtvUfr8r2XKERS21uj/NlZRmxmuncZsX/8vB6SrCB26Q6TRubGzCHGoKsTTjoie3CtxW1Xay3uhNV7IMkKWg9ZZdLI7G1VXpEW1jwbQ3hWDsjeb5/KAeE447HpLGPfCa/nXG1vl24xv+2tUZr3VStQzK3VGOKfEzdCkhX0Xrxd8ErjMHOIMejqhJOOyB76L90BSVbwzoT1XsenOKsxRNeqxkDGWL5DbfV7d9elXse9KwecELza3krLL2jvUVatLwMPR1DbW6M8EKOG+0XZ3l1VP5ysdkzrsWCrSSNzY+YQY9DVCScdkT246uX+q1a93Okb1Pq6T/+wwqSR2Vv81iOQZAV/6rHM6/i5C/asHBAOz8YQ2w6Vej0XSW1vjdKkR7yzAoX3VexPpm6CJCvoMi/HpJG5MXOIMejqhJOOyB66L1A7oH042bsD2uyM/ZBkBY/X6phGxlicfQiSrKBZTILX8SqbVg4Ix+FS94a9vFob9lxtb2dEQNtbo9ztrECxfMdRr+Of/5YJSVbwzexsk0bmxswhxqCrE046Inv4bk4OJFnBp9M2eR1fkHkQkqzgkT5JJo3M3uZnHhC+/1rlgFz7VA4IR2FxuRZ099YqwdZyYOS0vTVCoAoUX8/MgiQr+HJGpkmjc2PmEGPQ1QknHZE9fD1L/bD74jfvDzsl57B6RbFnguCVpKdZAa6o32PDygHhyC9yt0/ef6Lc67lIantrhEAVKDrPyYYkK+g0bbNJo3Nj5hBj0NUJJx2RPXzhvH35f7O8b18mbPO/RpSMEWiN9P3fx9uuckA4RO2Tgchqe2uEMwE2L3abry5b6jAlQ/Bq4zBziDHo6oSTjsgeOv6qbkiR53pvSFmR63/XPxnDVfWipZ+qFw/2sl/lgHCI2icDwGsj10RM21sjeJajyzngXYHCtRH1/VobUc3AzCHGoKsTTjoie/hwcobfEkOrd/mv40rGcNUxft5PHePmfe1XOSAcmR7tk8vOXfB6LpLa3hrBs8HIjsPeDUb6LtkOSVbw7i8bTBqdGzOHGIOuTjjpiOzBVTS+1+JtXsfX5RdrH5AVldWCV5NeXJ3pXhqW6vPcn21YOSAcovbJANBuXOS0vTXCQY+W0buPeVeg+NHZLObt8esErzYOM4cYg65OOOmI7OGdCf7bgG4qcIeFM+crTRqdfY1asQuSrOC1kWt8nvvLgBVq5YD1BSaMLPKJ2icD4vluVfuOn9Hei321KlAMSdwJSVbQdkyaSaNzY+YQY9DVCScdkT20G+v/Clf2/hLtA7K0/ILg1aSXoUl5kGQFb/y01ue55waplQMmrbVH5YBwpew8Jlx2869J/u9gWNXuY6e09+JgyVmv50YuV79MvT7K98uU0Zg5xBh0dcJJR2QPojWL2w+5d64XnToveDXpZWCCelu53Vjf28ovDF0FSVbwc+oeE0YW+ZK3qxspG3fz3UgpWpNuVTsOu3+Pj9WqQDEmRV0e88rw1SaNzo2ZQ4xBVyecdET28NeRq/3uQt911H0l6HDpWcGrSS/9l+6AJCt4Z8J6n+deHeH/74xUy7aoNaDv+z7e5zlXlZFIaHtrhC0H3BUoTpyp8HrOteGxtZ8Nj0Zj5hBj0NUJJx2RPbjqio5P9a4rutdjbV/tovukv16L1dJP/5zoW/rp9dHqVfjhybtMGFnkW+Rsn/xAjG+zE1HdaKvaHKACxeQ0tYTds4NSzBmcB2YOMQZdnXDSEdnDc4JOUQdOutuo5hedNml09tVjwVZIsoIPJ6f7PPfmmDRIsoLBiTtNGFnkm7tJbZ/cvK9v+2RXJ8BIaHtrhEAVKKZtKIAkK3jmR9+mJEZj5hBj0NUJJx2RPbQYsNLvDv6jZe76mzuPnBK8mvTSZV4OJFnBJ1M3+Tz39nh1A+EPy+xRIitcM9PVrnJP9l/u85w8V31fP53m+75a0doAFShmpattpp/o79tm2mjMHGIMujrhpCOyB1FN1hNn3B2Vth4sNWl09vXN7GxIsoLPpm/2ee7dXzZAkhX0WbLdhJFFvl/Xq1cq/zLA90pl9wVq29uPIqDtrRECVaCYn6le+X60j++Vb6Mxc4gx6OqEk47IHkRdtsrOXdA+IDMLT5o0Ovv6coa6lvQ/M7N8nvsgLh2SrKDnQntUDgjXpLV7IckKnvOz9jSS2t4aIVAFisUB1jIbjZlDjEFXJ5x0RPbwUO9ESLKChVnev+vnLlRpQXfj3hMmjc6+Ok3bDElW0HmO76apDlPUElld528xYWSR7+dUtZrAC0N9qwm4qln87wTz294aIX6rWoGiSQ/fChSBnjMaM4cYg65OOOmI7OH+7+MhyQqWbjnsdbyyqloLumm7j5s0OvsKFGYDhWACRq/cDUlW8OoI3/qwA5xtb98aZ37bWyO4rto283PVdvkO8dVeozFziDHo6oSTjsge7um+DJKsIGn7Ua/jNTU1WtBdlVdk0ujsK9DyhK8CLGsgYHiys+PXaN+uckOcHefa+Ok4Z0WudbiP+FmHuyqvSLh+12jMHGIMujrhpCOyhzu6qB90K3ce83nunm5qCE6uFYJJf4E2nAXaqEbAoISdkGQFfx+b5vPcqBVqCP5/EdD21gizMtTKCo/3862skBagIoPRmDnEGHR1wklHZH1V1e6rtmv9LE+4z7msIX7rYT+vJj25SojFLtvh81yg0mMExC5T1+G2H+/bVW7sKrXt7csR0PbWCK5auU//4FuBIn2fuMau0Zg5xBh0dcJJR2R9nhvONuwp9nn+wV7qRrVF2YdMGJ29BWoKEaiZBAF9lmyHJCt4z09XuV/WqBUZno+AtrdGcHU/ix640ue5zABd04zGzCHGoKsTTjoi6zvlUUJss58SYs37JkGSFczbfMDPq0lPgdr8utoD+wtyBHy/UP0i8O843y8CU9aJg58VTVi9Rxjstx4s1X7/i0+fN2F0bswcYgy6OuGkI7I+z6YQWw74NoVwNZOYmV7o59Wkp1dHrIYkKxi9crfPc7HOEln/+Nn31jwBXeapTSE+nurbFGL6hkLhrXwrci3VeGlYqs9zO4+c0n7/j5adM2F0bswcYgy6OuGkI7K+Yx5tfnOPlPk8/5cBKyDJCn6t1R6Y9Pfi0FRIsoLxqfk+zw1MUEtktRtrjxJZ4Qq0WW92gM1ZVuTafPfaSN/Nd/lFp7Xf/wMny00YnRszhxiDrk446Yis78DJcu2Dbvex0z7PPzcoBZKsYNLavSaMzt6eG6y+9xPX+L73Q50lst6wSYmscAUqv7Yg86Cw3JYVBZorhcXu3/+9x8+YMDo3Zg4xBl2dcNIRWd++42e0D7rCYt8rOq6rij+n7jFhdPbmupo+1c/V9EBX6ShwQw0lR+0G1qyn+W1vjeBqkOHv6v/h0rPa7/+uo6dMGJ0bM4cYg65OOOmIrG/XUfcavUMlZ32ed60T/SnFd50o6cu1PnrGRt/10eMCrLukwF3lErYdgSQr+FOPZSaMzHiulsfvTPBdz1106rz2+7/9kO/SJSMxc4gx6OqEk47I+rYfKtM+6IpO+e66/luAnf+kr+Z9kyHJCuZs8q144SqR1WpwivEDuwS8P2kjJFlBzKJtPs+tyFXb3t7V1fy2t0ZwVej4p58KHSXl7s2o2ftLTBidGzOHGIOuTjjpiKwve3+J9kFXUl7h8/zfx4pruZK+Huqt1jBemOX7/2BXiayWNimRFS5XV7m+frrKrd4VOW1vjRCo5vKZ85Xae7Gp4IQJo3Nj5hBj0NUJJx2R9W0qcHdGOnO+0uf5f/y8Xtidi/TVtGcCJFmBkuPblc5uJbLC5eoq92N8rs9z6/KLtTlfUWlu21sjBOqid77S3TBmvZ+GMUZi5hBj0NUJJx2R9a3f4/7QP1/p2wL0vYnqLeA+fq6Mkb7u6b4MkqwgcdsRn+dcJbIes0mJrHC1dXaVG+LnTkSwL3dWE6jUWrVHC/DVu4pMGJ0bM4cYg65OOOmIrM/zNm51te9t3H/HpUOSFXy/cKsJo7O3O7uofy8rc4/5POcqkfVw70QTRhb5Xh+1BpKsYMRy37Xlnst1SsvNbXtrhECl1gDgrq5LhfPMSMwcYgy6OuGkI7K+lbnHAm7M+WTqJkiygi7zfHevk36CXWlbknPIViWywvXycLVayJgU32Yb2w65297624BpNa5Sa9/O9i21BgD3BrhzYCRmDjEGXZ1w0hFZn6vU0r3d/Zda+mx64A9J0ofn2sl1+b5rJ+O32qtEVrhaD1kFSVYwYbVv/WfPknqHS31L6llNoFJrQOC14EZi5hBj0NUJJx2R9QUrnv/1zCxIsoKvZmQaPDJ789wNn7HPdzf88h32KpEVruiBKyHJCian7fN5bq9Hk5T9J8xte2uED5zLj3oKlh89HKC6h5GYOcQYdHXCSUdkfcHWenaeo25k6eRnIwvpx7O+aZaf+qapefYqkRWup39Qu8pN2+DbVc6z7XV+kW/ba6txlVoTbSh9rJ+4XrORmDnEGHR1wklHZH2u3fuPC3bvd5u/BZKsoMOUDINHZm+eHau2HSr1eT4t/7itSmSF64n+aniblbHf57mjZee0927nEXPb3hqh/fjAJQJdXwp+89OBz0jMHGIMujrhpCOyvmD1WGMWqV2VPojzLTZP+jlcelYLY3lHfcNY+j53iazyCuuXyArXI32SIMkK5mf6XqUsPu3+ErH1oO+XCKtxNX0ZlOC/6UtL5zKPqev2GTuwWpg5xBh0dcJJR2R9rg5b0YIOW32XbIckK3j3lw0Gj8ze9p9w317f4+f2embhSXeJrLPWL5EVrmYx6garJTmHfJ4rO3dBe+8yC0+aMDpjudp4D0vO8/t8q8EpkGQFE9fsNXhk3pg5xBh0dcJJR2R9E1bvgSQreH7IKr/P/xifC0lW8Pb4dQaPzN72FJ0OuGFq60F3iazjp61fIitcf+qhlsyK3+pbMutshbuiRbqfjX5W8+oItdTa6JW7/T7/0rBUSLKCcat8S7EZiZlDjEFXJ5x0RNY3dlU+JFnBy8NX+31+SOJOSLKCN8ekGTwye9t5JHAJLM/nj5SeM2GEke1uZxOE5TuO+jx3oapae+/Sdh83YXTGenGoGmTHp/oPsq+NXBMwCBuFmUOMQVcnnHRE1jdy+S5IsoL/N2pNwOdfFzxP+gh2xTY/yBVfO6upcTfbSM3zbbbh+fwqP89bzXNBlia88VPgpQ1GYeYQY9DVCScdkfUNScqDJCtoK7hiOyZFveL7iuCKL+kjK0ib2sJi9xrevcfPmDDCyFVR6XHFNt//FdvG3cRXfK2mxYDAm83ajVsHSVYwMCHX2IHVwswhxqCrE046Iusb4FyD+9Y4/2twXWt4WwvW8JI+MjyqKpw571tVIVhVBjsL1mwDAO77Pt65htfcbmBGeCp2ecDyYe9McJYfW+q//JhRmDnEGHR1wklHZH39lMBVFSanqVUZnh2UYuzAbG5dfrEW1s5XVvk8H6zOrp2VlrurKvhrtgEADzirMizO9q3KYDWuhhCz/dQUBoB/TtwISVbQe7H/hhJGYeYQY9DVCScdkfW56uS+P2mj3+enbSgIWGeX9LF6l7vzWXW1b+czz85p2YIwZ1fHTwf/EvCos87uvM3mdgMzwkPOFr8LMv1/ln84OQOSrKDHAv8tgo3CzCHGoKsTTjoi6wvW+WyWs3PaE/39d04jfazIPQpJVnBX16V+nz/tcXt+U4H1S2SFI5RlHU/2V2/nz0r3f5XTSpr2VK9eKzn+l2l0/HUTJFlBl3k5Bo/MGzOHGIOuTjjpiKzvuzk5kGQFnaZt9vv8/MwDkGQFj/RJMnhk9paw7QgkWcG93Zf5ff58pbsW7Lr8YoNHF9mCNdsAgGd+VNveTttQYPDojHdvd7WmcMI235rCAPD5b5mQZAXfzM42eGTemDnEGHR1wklHZH1fz8yCJCv4ckam3+eX5ByCJCtoFpNg8MjsTck5DElW0LSn//e9utpdImv1LuuXyApHKKXXnhukltyKW2tuNzAj3OWsKbwi13+Fia9nBf5/gFGYOcQYdHXCSUdkfcGu5sRvVa8sNukRb/DI7G1h1kFIsoKHeicKz7mzixrmVuYeM3BkkS+UZhovDF0FSVYwYfUeg0dnrGA1hYHgd3WMwswhxqCrE046Iuv7ZGrg9XmutaJ3C9aKkj7mbFKXjDTvK14bfY/zlnSi4Ja0XXk22ygWtEd+ZbjaFvenFHO7gektlJrCwdbpG4WZQ4xBVyecdETW9+HkdEiygu8X+t9xnZrn3v1fU+O7+5/08dvGQkiygqdilwvPud9ZC3bpFuvXgg1HZuFJd7ONs77NNgDg9dFqN7ARy3cZPDpjlVe4Ny2mC2oKB6u8YhRmDjFLB93c3Fy0bt0a9evXR6NGjdC5c2dUVFSE9No1a9bgueeew9VXX41rr70WzzzzDPLyQm/xx0lHZH3vBamhmZZ/XPugrKisNnh09jV1nVq/uMWAlcJzXGWjFmbx/9GeNu51N9s4W+FbgxgA3hyTBklWMCRxp8GjM1YoNYWD1dI2CjOHmGWD7smTJ3HLLbegZcuWSEhIwMSJE3Hdddfhs88+C/rapKQkXHHFFfj888+RnJwMRVHQrVs3ZGeHvquSk47I+v7xs7Mr0jL/XZE8O3SVV/h26CJ9TFyzF5Ks4LnBKcJzmvdVGwHM2WT9WrDhSNvt/nJ2ocr/l7P249V5/8Myc9ve6s2zpvDWg/5rCv/o7I749nj/3RGNwswhZtmgGxsbiwYNGuDECffthvHjx6Nu3bo4dEjczaWyshK33347unbt+rt+PicdkfX9fax6ZWtQgv8rW1n7S9y3gcv93wami298aj4kWcGLQ1OF5/zZ2dp1hqC1q12tCmG5zbu/bIAkK+i7xNxuYHo7UnpOey92HvFfU3hIUh4kWUHbMWkGj84bM4eYZYNuixYt0KZNG69jJSUliIqKQlxcnPB1y5Ytg8PhCBiGQ8FJR2R9f3OuVRye7H+t4rZD7o09xwUbe+jiG71yNyRZwasjVgvP+csAtRbs1PXWrwUbjuTt6gbKxt3EGyg/iFPXpvcUrE23Cs+awvmCmsIjl++CJCt4fdQag0fnjZlDzLJB96abbkL37t19jt96662QZVn4up49e+KGG27AggULcM8996Bu3bpo0qQJZs6cGdbP56Qjsr5XR6i7z0ev9L/7PO9o8FJNdPENS1avsv1t9FrhOc8NVmvBTlxj/Vqw4YjfejhoSbyPp6ptb7vO32LgyIy39/gZ7fe3sNh/TeExKerdg1eGi79UGYGZQ8yyQfeyyy7DoEGDfI43bdoUHTp0EL7u448/xpVXXonrr78eY8aMwfLly/Huu+/C4XBg7Vrx/zTLyspw8OBB7ZGRkcFJR2RxLw5NhSQr+DnVfz1Rzw9KUfF9uvgGJeyEJCv4+1jx7WTX39341HwDRxb5FmWrTU4eCNDkpNP0zZBkBZ3nmNsNTG+eX1QPl571e86E1XsgyQpaD1ll8Oi8MeiKMejW0qFDBzgcDvz000/asZqaGjz44IN47bXXhK+LiYmBw+HweXDSEVmX66rgJEGHqFDaqdLFF7tsByRZQfvx64XnBLsab1fzNqs1iB8N0Lb6P86OgP+ZmWXgyIznufSo6JT/pUeT09QKH88OSjF2cLUw6IpZNuj+t0sXvvvuOzgcDuTmeu8m/eqrr3DXXXcJX8crukT241rn+atgnWcom1no4uuzJHjJp9eDrK+2q5npag3iJ/uLaxB/Ozsbkqzgs+nmdgPTW7bHZtKScv+lSadtKIAkK3jmxxUGj84bg66YZYNuixYt0LZtW69jpaWlQTejxcXF+Q26X375JRo3bhzyz+ekI7I+1879men+d+4Xh1CeiC6+ngu3QpIVfBCXLjwnWMUMu/p1ffDg1mWe2g3s46nmdgPTm2d5wDPn/ZcHnJWxH5Ks4In+4i58RmDmELNs0I2NjcU111yDkhJ3kecJEyYELS92+PBhXHbZZRg1apR2rKamBg888ADefPPNkH8+Jx2R9TXvmwRJVjBvs/9arKVn3QXnMwtPGjw6+3IFsUBt3z/vvwAAIABJREFUWV21YEU1kO0qbq2zBnGAW/GuLxL/DvBFwgrW5Rdrv7/nK/03z5ifGXyphxGYOcQsG3RdDSOio6ORmJiISZMmoWHDhj4NI1q1aoVWrVp5Hfvqq6/QoEEDjBw5EgkJCWjfvj3q1q3LhhFE5OXBXmp3rUXZ/r88n62oCtpClC4+1631TgFurbtqwfaxeC3YcP2cqm6uemGoeHOVa2nIexPNbXurt9W73DWFq6v91xReHMLmPSMwc4hZNugCwI4dO/D888/jqquuws0334xvv/3WpwVwdHQ0oqOjvY5VVlaiR48euPXWW3HFFVegefPmSEgIbxJz0hFZ333fx0OSFcRvPez3+QtV1doHZVr+cYNHZ1+uzVJfzcgUnmOXWrDh+illd9ByWaFs9rOCFblqTeG7uoprCsdvPRK0HJsRmDnELB10zcRJR2R993RbBklWkLz9qN/na2pqtKC7Kq/I4NHZ12fO8lffzBbfheswxR61YMM1PNnZACFADeLBicHLt1lBwjY1xN7bfZnwnOU7gjfYMAIzhxiDrk446YiszTPEpuw8JjyvcbelkGQFy3f4D8N08X0ydRMkWUGXeTnCc1y1YL8NEIbtyBVi3wzQ0jaUMGwFSo7aPKNpT/Ed3dQQWiYbgZlDjEFXJ5x0RNZW6bksYbd4WUKTHoGXN9DF9+FkdVlCjwXiZQlfzci0RS3YcIWyLMG1vCFQi2UrWJB5EJKs4OHeicJz0vKPa/8fuFBVbeDovDFziDHo6oSTjsjaPDeabdwr3mj2QEwCJFnBYsGGNbr43pu4EZKsoPdi8Uazb2xSCzZcodQgdm1Ye3FoqoEjM95sZ+mwx/qJS4ele5QgK6/wX4LMCMwcYhEVdM+f99955FLESUdkbWXnQisd9mifwCXI6OL7x8/O0mFLxaXDuszLgSQr+GTqJgNHFvm+D6F02KQQSpBZwW8b1eYZT8WKm2dkeTSVKD17wcDReWPmEIuooHvdddfh008/RUbGpV+EmpOOyNpCbQbxZH+1qcSs9P0Gjs7e2o1dB0lWMDAhV3hOKIHOjkJpBuFqKvGXAeZ2A9Pb1HVqe9+WA1cKz9l60N0muPi0eRfrmDnEIiroDhw4EPfffz/q1KmDZs2aYejQoSgqujR3KnPSEVnb0bLQ2vs+82PgNsF08b3xk9red2hSnvCc3ovtUQs2XKG09w2lTbAV/LJGvXLdanCK8Jy8o6e0/w8cLTtn3OBqYeYQi6ig67JhwwZ88sknaNiwIa644gq0adMGS5YsQXW1eQu9w8VJR2RtB06Wax9w+UWnhec9NygFkqwgbu1eA0dnb6+NXANJVjBqxS7hObFL1U1X//jZ2rVgwxXKJr15m9VuYM37mtsNTG/jVuVDkhW8NEy8FnlP0Wnt/wP7T5QbODpvzBxiERl0Xc6dO4fffvsNTz75JOrUqYNbbrkFsiyjoCDyr4xw0hFZ297jZ0L6gHth6CpIsoIJq/cYODp7e2lYKiRZwbhV+cJzBibkQpIVtBu7zsCRRb5Qyq4tcnYDe7CXuBqBFYxeqVaXeG3kGuE5+0+4v/DuPX7GwNF5Y+YQi+igm5SUhPbt2+PKK6/EzTffjPfffx+333476tWrh0mTJpk9vIA46YisbZfHLcvDpWeF570yfDUkWcFPKbsNHJ29tRqsXkX/ZY34Kvqw5DxIsoK/WbwWbLhCaaSxbItaX/a+783tBqa3oUnqHHnjJ/EcOVLqXsKUd1S8hElvzBxiERd09+7di++//x6SJKFOnTp48cUXMWfOHFy4oO5mrK6uxjfffINGjRqZPNLAOOmIrG3bIfcmlOMBNqG8PlpdLzpiufg2Ol1cLQeuhCQrmLJun/Ac19W6v460di3YcIXSGjl5u9oN7J5u4o5hVhDKVf/jHptStx0Sb0rVGzOHWEQF3WeffRZ169bFbbfdhp49ewqXKKSnpyMqKsrg0YWHk47I2rI9ywqVi8sKvTkmDZKsYHDiTgNHZ29P/6BuAJy+oVB4TijrL+3o3V82QJIV9F0irkGcsvNYRHQD05trHfc7E8TruEvPussMZu0vMXB03pg5xCIq6LZt2xbLli0L+otz4cKFiF+ny0lHZG0ZIRaKbz9eren6wzJxqSu6uB7vl6yWdMsQl3QLZUe9Hb09fl3Q+Zq2290NrNLEbmB667V4GyRZwT8DVOYor6jU3ouMfeLGMXpj5hCLqKCbmpqK06f9714+ffo0UlMvnW/enHRE1rYuv1j7gKuoFH/Yu66Q9QlwhYwurod7J0KSFSzIFP//d4qzRmqLAeIaqXbU1nkHYkiAOxAb97q/5J27UGXg6IzVY4Faa/nDyeJayxc8W4Hni1uB642ZQyyigm6dOnWwcaP/b06bNm1CnTp1DB7Rf4+TjsjaUvOKQrp9++8Q1jzSxdWsp9p2eUmOuO1yKF2v7Oj1UWuCrinfXHhSm/tl58zrBqY3V/e8jr+Ku+fV1NRo70Vqnnl1/5k5xCIq6EZFRQmD7qpVq9CgQQODR/Tf46QjsrYVueqGnLu7Lg143sdTg+9ip4vrTz2WQZIVxG89IjxndsZ+SLKCx/olGziyyOeqEjImRVyazbMb2IkzFQaOzlj/N0ttnvH5b5kBz2vcbSkkWcGK3KMGjcwXM4eY6UE3NTUVvXv3Ru/evREVFYUOHTpof3Y9unbtigcffBB//vOfzR5uyDjpiKwtfusRSLKCJj0Cl1gKpS4pXVx3d1WDx/Id4uCxIPMgJFnBw72tXQs2XK2HBK/7nHukLCK6gentS2fzjK8DNM8AgCY94oN+sdIbM4eY6UH3xx9/RMOGDdGwYUPUqVMH11xzjfZn1+Pmm29Gy5YtkZEh7r0daTjpiKxtSY5aNL9ZTELA8/4zMytopym6eDxvJa8KcCtZ+/vrGfjvz26eDaGTX75HN7ADJ83rBqa3TtPUL6nfzckJeF6zmOBLZfTGzCFmetD1dMcddyAryxofBpx0RNY2P1Ntg/pIn8BtUL+drd7+7DR9s0Ejs7eKytA2ByVsU6/I39vd2rVgw+UqzTZtg7iyUWGxuxvYPhO7gentI2fzjG5Blh092icJkqxgfuYBg0bmi5lDLKKCrpVw0hFZ2yznGs8n+gde49l1/hZIsoKPp146d6QuZWfOh1buybXG+q4ga6zt5on+ztJs6eLSbIdKzmrv8S4Tu4Hp7f1JGyHJCmIWbQt4nvaeBShnpzdmDjHTg+6iRYtQWlqq/XOwx6WCk47I2qZtKIAkK3j6hxUBz+u5UC1R9EGcuEQRXTyl5e4C/tkBCviHWjXDbh4J4epk0Sl3N7Dth8oMHJ2xXKUB+ymBSwM+82Pwq+B6Y+YQMz3oelZaiIqKCvhgeTEiihST09Q6rM8OSgl4Xt8l2yHJCt79ZYMxA7M5zxAWqCVrWr676UGgOsh241pvujhbvN60pLwipC8Tl7q3xqnNM36MD9zsxbWueXLaPmMG5gczh5jpQbegoAAVFRXaPwd7XCo46YisbcLqPZBkBa2HrAp43g/LciHJCtqPF7cRpYvncGlot9U9O9udOS/ubGc3oVQQOO2xPGRTgXndwPQWSvMMAHhhaPBKFXpj5hAzPehaFScdkbWNScmHJCt4ZfjqgOcNTtwJSVbw5pg0g0Zmb54bpfYG2CiVtb9EO6+03LpND8IVSmm285VV2nu3fk+xgaMzlqt5xsgAzTOA0GoP642ZQyyigu6mTZuQnOze2FFSUoKOHTsiOjoaffv2vaTWUXHSEVnbyOW7IMkKXh+1JuB5I1znjV5r0Mjsbfex0EpfeTY9OH76vIEjjFyhlmarrnaft3qXed3A9BZqgA2lm5zemDnEIirotmjRAjExMdqf33//fVx77bV48803cfXVV6Nfv37mDS5MnHRE1jYkxCu1P6XsDunKL10cns0MjgVoZrDzyCntvCOl1m16EI5QS7MBwF3OK78rc48ZNDrjhdI8AwDeDHGJg56YOcQiKujecMMNWLpULfVy9uxZ1K9fH5MmTQIAjB49Gvfee6+ZwwsLJx2Rtf0Yr669fXv8uoDnudbyvjA08Fpeuji2HAitPa1n04P9J6zb9CAc5RXutbfpAUqzAcC93dU2ywnbzOsGprdQN5m9PT60TWt6YuYQi6ige9VVV2HVKvXDIDk5GXXr1sWJE+ov2+rVq3HVVVeZObywcNIRWVuo1RTi1u4NqToDXRybCk5qYe3UOfHa2/0n3Gt59xSdNnCEkcuzNFtWkGoKTXuq1RmUnMMGjc54oZYNc5Uh67skcBkyPTFziEVU0G3atClkWQagLlt44okntOfmzp2LRo0amTW0sHHSEVlbzKJtIdXHddXbfebHwPV26eLYsKdYC2vnLlQJz/OszpBn4aYH4Th+2l2abetBcWk2AHi4dyIkWcHCLOt+xoXSPAMAPohLD6mxhJ6YOcQiKuhOnDgRUVFRuPHGG1GnTh1Mnz5de+7zzz9H69atTRxdeDjpiKwt1I5ns9JD66BGF8eaXe76uFXV4g3ModbbtZNwwv9j/dQQONvEbmB6C7W178dT1VbBXYO0CtYTM4dYRAVdAEhNTcXgwYOxcuVKr+MxMTFQFMWkUYWPk47I2jrPyYYkK+g0fXPA8+ZtPgBJVvBonySDRmZvK3OPQZIV3Nkl8OeFXZoehCOc5RxP/6De1v9tY6FBozPeAyE0zwCATtM3Q5IVdJ6TbdDIfDFziEVc0LUKTjoia/vPzCxIsoL/zMwKeN7i7EOQZAUPxCQYNDJ7S9x2BJKs4N7uywKed8aj6UFGkI1XdrEnjA16LQeuhCQrmLJunzGDM4G7eUbgdcih/r9AT8wcYhEXdCsrK5GWloZZs2ZhypQpXo+pU6eaPbyQcdIRWdtnzqs4384OfBUnfuthSLKCJj3iDRqZvSk56vvdtGfgLxaeTQ/W5Vu36UE4wim51mqwWpHglzV7DRqd8Rp3U0uoJW8XN88AgG9nq3d3Pgtyd0dPzBxiERV009PTcdttt6FOnTqIioryedSpU8fsIYaMk47I2kJdl7d8x1FIsoLG3ZYaNDJ7W5B5EJKs4OHeiQHPs0vTg3CE00TjpWGpkGQF41aZ1w1MT6E2zwCALvNCW6+vJ2YOsYgKuo899hgeffRRpKamoqioCKWlpT6PSwUnHZG1/du507rnwq0Bz1uVV6R9YF5K3R0vVbMz1M1/j/cLvvnvzi6K5ZsehCOz0F2arfRs4LbIr41Uu4GNWmFeNzA9XajyaJ6xO3DzjJ4Lt0KSFfw7SAUWPTFziEVU0L366quRkGCNdWycdETW9t7EjZBkBX2C1M5My3dXAbhQVW3Q6Oxr+oZCSLKCp38IXs7NDk0PwpG+74Q2V8srKgOe2+antZBkBUOT8gwanbHOVriXtmzcG3gNdx9nTe33Jm40aHS+mDnEIiroPvnkk5gyZYrZw7goOOmIrK39+PWQZAU/LAvcDSmc8EC/35R1+yDJCqIHrgx6rh2aHoQjbXfoX8rajVO7gQ1MMK8bmJ7KzrmbZ2QWngx47g/L1C6J7cevN2h0vpg5xCIq6GZmZuLhhx/GypUrUV19aV/54KQjsra/j1X72w8O0t8+nNvB9Pu5Wi4/PyR4y+WHbND0IBzhLLN5Z4L6Ra//0h0Gjc5YxWE0zxicuBOSrODvY9MMGp0vZg6xiAq6DRs2xFVXXYU6derg8ssvxx/+8Aefx6WCk47I2l4frd66HbE88BpFzw0+xUE2+NDvNyYlH5Ks4OXhq4Oe27yv2vRgzqbADQHsInl76Bsn/zVJXbrTa7F53cD0dLTsnPZ7m3ukLOC5I5bvgiQreH30WoNG54uZQyyigm5MTAx69eoV8HGp4KQjsrZXR6yGJCv4KWV3wPPCKdlEv99IV+gYtSbouU/FLrd804NwhFMK78PJatWR7gvM6wampwMn3c0z8oM0z/gpZTckWcGrI4J/udILM4dYRAVdK+GkI7K2F4augiQrmLB6T8DzwinCT7/fEOdt5LZjgt9GbjFAbXow1cJND8IRTnOTT6dtgiQrkOfmGDAy4+09fkb7vS0sDvx7+3OqulzmhaHBl8vohZlDLCKD7rlz57BlyxYsXboUZWWBbxlEKk46Imt7bpBaMD9ubeCC+eG0VaXfz7Ux6O3x64Ke+5yz6cFECzc9CEc47aq/+C0Tkqzg/2aZ1/ZWT7uOuu/EHCo5G/DcuLV7IckKnhuUYszg/GDmEIu4oDtgwABcf/31WoOIzZvVTiMvvfQSYmNjTR5d6DjpiKztmR9XQJIVTNtQEPC8I6XutX55R08ZNDr76uss9fTuLxuCnvviULXpwfhUazY9CNesdLUG8RP9g9cg/nqW2vb2i98yDRiZ8bYfKtN+b4tOBV5b/+v6Akiygmd+DF7STi/MHGIRFXT79u2L+vXrY+DAgcjIyEBUVJQWdEePHo0nnnjC5BGGjpOOyNqe7K+u75yVvj/gecfD2L1Nv5+reP8HIRTvd62zHr0y8DpruwgnsMlzcyDJCj6dtsmAkRkv50CJ9ntbUl4R8FzXF4Qn+y83aHS+mDnEIiro3nbbbRg6dCgAoKqqyivoJiUlseoCEUWMR/skQZIVzM8MvGO/9Ky7HmfW/hKDRmdf4bRj/ZuzcsawZGs2PQiX6xb8syHcgu++QH2fP5xsXttbPW0qcNe/Pn0+cP1r15KP5n2DL/nQCzOHWEQF3Xr16mH5cvUbUe2gm5iYiPr165s5vLBw0hFZ2wMxarOBxdmHAp5XXlGpfWBm7AvcYYl+v29nZ0OSFXw2fXPQc121kAclBK6FbBfhbKqKWbQNkqzgX5PM6wamp/V7irXf2/OVVQHPDWcTn16YOcQiKug2a9YM3bp1A+AbdLt168alC0QUMZr0iIckK4jfGrh9bEVltfaBmZZ/3KDR2ddXM9RNUv+ZmRX0XFd3u9hl1mx6EC5XmaxXQqhB3H/pDkiygv+dEHwt9KVozS53l7jq6sDNM1xl2e77PnhZNr0wc4hFVNCdOHEiLr/8cvTq1Qvbtm1DVFQUFEXBuHHjUL9+fcycOdPsIYaMk47I2hp3WwpJVrB8x9GA59XU1GgfmKl5RQaNzr46Td8MSVbQeU7wagDv/rIBkqygz5LtBows8oXT+GBAvFrdot244NUtLkUrc49BkhXc2UUJem44jTb0wswhFlFBFwAGDhyIBg0aoE6dOoiKikJUVBQaNGiAIUOGmD20sHDSEVlXuOH17q6hhWL6/TpMURsZdJ0fvJHBv+PSIckKvl+41YCRRT5XK9s3Q6hBPDQpD5KsoM1P5nUD01PitiOQZAX3dl8W9NxwWifrhZlDLOKCLgCcOnUKiYmJmD59OuLj41FaeuntVOakI7KuC1XhLUcIdZkD/X7vO1vTxiwK3pr246lqKO4yz5rdvcIVTg3iUSvUq7+vjQzege5StHSLuhyhac/g627TdruXOVyoqjZgdL6YOcQiKuhOmTIFxcXFfp87ceIEpkyZYvCI/nucdETWdbaiSvtgSw9hg1mzEDeu0e/nWo7QTwm+HMG1zOHb/9/efYdXUeX/A78URSIougusuPyGXdsqVVldFSEKuMiquODqqquyFkRl94sFdhAQBCGAgCAgRQhdqlQHSCgJIUCAhF5CbwmEElIghZDy/v0xt4Vkcmfmzrk3mbxfzzPPI9eZk8Nwbu7nnjnn81lkz6IHRg02kIN40sbjkGQFHcbEBKBngbd8dzIkWUHzQZE+z91xypOhISev7I1rojDm0FauAt2qVati+/bSd3AmJCSgatWqAe6ReRx0RPZlNGWY3lRk5L/XJ2+FJCsYvibR57lGNq5VBkZyEE+LVVORtRsdvLK3Ii1OUFOG/XmI7+IZu86kuX8fZOTcCEDvSmLMoa1cBbpVqlTRDHQjIyNRp06dAPfIPA46IvtKNVgE4omh63QVlyD/df5RzY07eq3v3LiuVGSf6khFVhkYyUE8a+spSLKCNt9FBaBngTd/+xlIsoKnwnwXgdifnOH+fZB6rewqaqIw5tAW9EB3+fLleO+99/Dee++hSpUqeOmll9x/dh1vvvkmfv/736N9+/bB7q5uHHRE9mW0rO/Tw/SVCyb/vTw+FpKsYPyGoz7PNRLYVQZGAv95zkDw6WHBK3sr0mxnIN96hO9A/nDKVffvgwuZuQHoXUmMObQFPdCdPHkyWrRogRYtWqBKlSp48MEH3X92HU888QTeffddHD9eceqRc9AR2dfZK9nuD7YTl675PP/ZkdGQZAUzt5wS37lKrsOYGEiygkkbfX9efO18VP++jkf1lYGRpRyL4s/qfrRfEYU7l2a0HRXt89wTl665fx+cvZItvnOlYMyhLeiBrrdnn30Whw7ZI3E3Bx2RfRn9YGs/eiMkWcHUTScC0LvKre0o9UvFtNiTPs8dtFLdfPVOuD2rexllZHPesl3qZq0WOjZrVURTYvRvtvP+4nvyclYAelcSYw5t5SrQtRMOOiL7OnLB86gyJcP3o8qOYzdBkhVMjK44T6UqqjbfRUGSFczeesrnuWHO6l5v/hQnvmMVgCvdmp4cxMpeNf1WEx3ptyqiCVFqlbgXx/muEnc+I8fQUiYRGHNoK3eB7qFDhzB06FB88sknJdbqvv/++8Hunm4cdET2ZXTzSSfnutEf1vteN0r+eSpsPSRZwbztZ3yeOzJCLZDwj0m+CyRUBu85C2gM0FFAI8JAQYWKaMw6tSDG33UUxLjstTn1wLng5P1nzKGtXAW606dPR7Vq1VCrVi088sgjJdbqPvroo8Huom4cdET2tftsuqF0Qq9O3KJmAog8HIDeVW4tv1UzXCxO8J3KzRXMvKKj5G1lYKQksqtE7h+/Cl7ZW5FcX4Jem+S7eEZGtrF0gyIw5tBWrgLd++67D2+//TZycnKC3RW/cdAR2ZfRBPH/nKLmdh222nduV/JP80GRkGQFy3f7/t1r5PF0ZWBknG466il7W1gYnLK3IhlZ1pKdl+++F/E6CsiIwJhDW7kKdG+//XasX+87Z11FwEFHZF9bjhsr+emaKftWx0wZ+eeRr9Vyy6v2nfd57mSbV/cyyvXkYZSOJw9bj6e63wPX84NTDUwk10bFd3VsVMzLN1YSXATGHNrKVaD76quvIiwsLNjdsAQHHZF9bTzimc0qKvI9m+Va+zhwxYEA9K5ye6DfakiygrUHL/g815VC6jkdKaQqAyNryRNOe55qZF3PD0DvAsuVeu6Dmb5TzxUVFbnvRcyRSwHoXUmMObSVq0B3/fr1eOCBBzBgwADExMRg7969JQ4jEhMT0b59e4SEhKB+/fro3bs38vLyDLXRs2dPOBwO9OzZ09B1HHRE9rX+0AVIsoL7++pbn9htlv7d7GReUVERGvVRA46owxd9nm+kKEBl4MoO8mP0MZ/n7vFap56ebexztSJwFRPpPjtB1/n3fbUKkqxgQ6LvL1giMObQVq4C3SpVqriPqlWrFjtcr+mVlpaGe+65B23atEFERATCw8Nx5513okePHrrb2LdvH2rXro077riDgS4Rua3Zr+44f/jrNbrOd+Un7b3Yd35SMi+/wPMIefMx34+Q5xko81oZPP+9/nzPB89luu/1pavBKXsr0pfOKnH/mbdL1/kP9VefJKzZnyK4Z6VjzKGtXAW60dHR2LhxY5mHXmFhYahVqxauXPEsDJ8yZQqqVauGc+fO6WqjTZs2GDBgACRJYqBLRG4r95yDJCtoOlBfDlEjFafIvNwbBe7ga/tJ35uC7F7dyyhXBb8Zm30X2zjqlUv6XHrF30B+M9d79nOd79kmAyMgyQp+3asvvrAaYw5t5SrQtVLr1q3RuXPnYq+lp6ejSpUqmDFjhs/r586di4YNGyI7O5uBLhEVs3RXEiRZQctv1+o6v5dzdqjHzzsF96xyy8z1pHnaeSbN5/nLd6vVvZrbtLqXUa2Gb4AkK5i77bTPc09eznLf6zOpwSl7K5LRpzCPDl4LSVawdJfvtHYiMObQFvRAt06dOrjrrrt0HXfffbfuduvWrYt+/fqVeL1BgwaQZbnMa69evYp77rkHCxYsAAAGukRUzMId6kzgX4bqe+TtWu/30ex4wT2r3FK9EvfvT/aduN9V3auxTat7GfXEUDUH8cIdZ32em5TmKXt7/NK1APQusFzr6vvqXFfvvnfxvu+dCIw5tAU90B04cCC++eYb3Yde1atXx8iRI0u83rhxY3Tr1q3Ma7/44gu0bt3a/Wc9gW5mZiaSk5PdR3x8PAcdkU3N3XYakqyg1fANus537eB+f4bvHdxk3oXMXHfwdTjFdylWu1f3Muox56zkkp2+ZyW973ViSmYAehdYRjOlPD1M/2y4CAx0tQU90BXFbKB74MAB1KhRA7t3e9bl6Al0Bw4cCIfDUeLgoCOynxmbnWmpRkbrOn/wr2pOznd05OQk885eMTbLuCHxgq2rexnlWme6co/vdaZGZ88rGqO5r13rm2duOSW2YxoY6GqzbaBrdulChw4d8PbbbyM9Pd19NGzYEB9//DHS09NRWFh6cnjO6BJVHlM3nYAkK3j+e30bZMNWq1WW3pjiu8oSmXfi0jV38HX2iu91ozFH7F3dy6g/9V/jzBzgu9iG0fXQFY2rStzwNfqqGbYfrT9jhQgMdLXZNtBt3bo1unTpUuy1jIwMn5vRJEkqdWbWdZw6dUrXz+egI7KvH6PV0rF/+0Ff6dhRkYchyQr+MWmL4J5Vbke8MgGkZOT6PN/u1b2McuWCXX/Idy7YnDxjGS4qGleVuNE6qsQBwAvOHMQTo48L7lnpGHNos22gGxYWhtq1ayM9Pd392tSpU32mF4uLi0N0dHSxo379+nj11VcRHR2N3FzfvzwBDjoiO/th/VFIsoJOEzbrOn/sOmPnkzn7kzPcwdfla75zu8afsnd1LyO8q3tt1FHdyztn8RYdOYsrmk7oNh/iAAAgAElEQVQTNuuuEgcYqyonAmMObbYNdF0FI0JDQxEZGYnp06ejTp06JQpGtG3bFm3bti2zLWZdICJvRmdojc4Akzm7zqS5g6+MnBs+z9/tVd0rI9v3+XZ2wztwPe47cPUOjKN1VKGraDoanKHtYnAG2GqMObTZNtAFgEOHDqFdu3aoWbMm6tWrh169epUoARwaGorQ0NAy22GgS0TeXGtu35qqb83tTzHG1vSSOTu8Zmiz83zP0BqdAbaz7Lx8973YcUrfUoT7+6pLHdYdDE7ZW5GMVIkDjK/ptRpjDm22DnSDiYOOyL4GrVSzKHSdri+LwnSDWRrInC3HLruDtRsFpW8c9ua9pvd8hv2qexmRkePZXLZL5+ayh79WN6+t3ud781pF85yBKnGA8SwNVmPMoY2BriAcdET21W+ZWgDiw1n6CkDMiVPz7j4zQl/eXTJno1cWhaIi31kUvLM02LG6lxGXTaQLa+pMR7ZCRzqyisZIlTjAeN5dqzHm0MZAVxAOOiL7+t/ivZBkBZ/O1VfSd8GOM4YqqZE56w6qeXHv76svL67dq3sZkZJhrNgGALT8Vn+BiYrmL0PX664SB3gqqX2ls5Ka1RhzaGOgKwgHHZF9fb5gNyRZwWcLdvs+GcCSnUmQZAUtv10ruGeV2+p9aknfh79eo+v8izav7mWEd7GNEzqDflcwuGDHGcG9CzyjQfynP++EJCvovXiP4J6VjjGHNga6gnDQEdmX0Q+1FXvOQZIVNB0YIbhnlZvrPjf7JlLX+WlZee7gbm9Suu8LbOy41zKOpDR9yzhcj/fnxAWn7K1ITQ1UiQOAnvN3GfryazXGHNoY6ArCQUdkX67HlH11PqZcs9/YTCOZ80uCsZnza9c9mQYSTtuv6IERiSmZ7ntxMVNfvnjXhq3pOjdsVSSujXZ6qsQBwJeL9kCSFfT4Wd9yJqsx5tDGQFcQDjoi+/r39O2GNp4YXTtK5szfrq6FfjJM31rovHxP7titx1MF965825vkySmclpXn+wJ4UnD9FBOcsrciPdB3taHUaX2WqBtUP5qtb4Oq1RhzaGOgKwgHHZF9/WuqmkoobNUhXedHH75oKBsAmTPbmd2i9YgoXed7Fz2I0VENzM4STntyEF/TWSXubz+oRRV+jD4muHeBVVRUhEZ9jBXD+Hr5fkiygvdn7BDcu9Ix5tDGQFcQDjoi+3ptkpocfmSEvipIRvO7kjnhsc58xaOidV9j56IHRmw9nuoeo3n5+saoq0zu2HXBKXsripnyxoN/VXNrvxOuL7e21RhzaGOgKwgHHZF9vWLwA377Sc9sWU5egeDeVV6TNx6HJCvoMCZG9zV2LnpghNEcxADwqrPs7agglb0VJfdGgftebD+pb+22q1riG1P0VUu0GmMObQx0BeGgI7Ivo49sd51Jc39wZubeENy7ymtC1DFIsoKXxsXqvqb5oEhIsoLluyv372oz68jfmBKnLuFZrW8JT0VxNddTJW6nzipxoyIPQ5IV/GPSFsG9Kx1jDm0MdAXhoCOyL9cmnKmb9G3C2Z+c4f7gTL12XXDvKq/v1x6BJCv4+4+bdV/z5yHrIMkKFsXrKwxgV64cxI8YyAziKns7OEhlb0W54pV2bl+SvipxY9cdhSQr6DRB/9izEmMObQx0BeGgI7Kv0O+iIMkKZm09pev8wylX3R+cF3SmbiLjvotIhCQreG3yVt3XPD1MzQX78zb7FT0wYvnuZEiyguaD9OUgBoD3nWVvByzfL7BngXch03iVONfThL/9sElw70rHmEMbA11BOOiI7MsVHM3bri848k7Gf/aKvmT8ZNzQVeo6ybem6l8n6frSMnPLKXEdqwAWxZ+FJCv485B1uq/5aLaaT7rPkuCUvRXFTJW4n2JOQJIVPP/9RsG9Kx1jDm0MdAXhoCOyL9fj7sUJ+sqDnkn1fHCevJwluHeV18AVByDJCrpO17/z3egyFLv6eZuag/jpYRt0X+OqENhrUXDK3opipkrc9M3OjB8jo8V2TgNjDm0MdAXhoCOyr2bfGNvAdD4jx/3BeeSCvkehZFy/ZWrS/g9n6U/a79pYOCHKXrlgjZrhDNSeNRCofbZgNyRZQc/5u8R1LAjMVImb48zh3Gq4/i8KVmLMoY2BriAcdET2ZbQ86KWr190fnAfO6dvcQsb9b/FeSLKCT+Ym6L7GlSpuzLojAntW/pl59N7LWfb20yCVvRXFu0pcera+KnELdqgz4n8Zqq8qn9UYc2hjoCsIBx2RfbmKDKw/pK/IQEa2J13RnrPpgntXeX3unGH8PwMzjK9NVot/fBeRKLBn5Z9rM9WL4/Rvpgp22VtRvKvEZemsErdkZxIkWUHLb9cK7l3pGHNoY6ArCAcdkT2ZKRubdT3ffU38KX0J6Mm4/8zbBUlW8KWBNaOucs5DdZZztiszqdkGOMvevheksreibDluvJLhij3nIMkKmg6MENy70jHm0MZAVxAOOiJ7up7vqZq09Xiqrmvy8gsNX0PGdZ+d4MwCsFf3Nf+evh2SrGDgigMCe1b+jVhjPDWbq+zt29O2CexZ4JmpErdmv5qH+GEDeYitxJhDGwNdQTjoiOzpmtfsbMJpfVWTzMwCk3GuvK5fG8jr2m2WmiLrq6X2SpFl1BDFeNA6bLUaHP9ziv7guCJY66wS90C/1bqvMVNZzkqMObQx0BWEg47IntJMVE0CgD9+pa7r3ZCob10vGfdO+HbDlbp62DRFllFmliG4yt6+OjE4ZW9FUfaqs7ONB+hfhhB9+KLhWWArMebQxkBXEA46Inu66FU1KTElU/d1D/Vf7czUkCKwd5XbG1PiIMkKwlbrX2/7uU1TZBllZmNZsMveirJsl1ol7tHB+jeWea/rzcvXt67XSow5tDHQFYSDjsievKsmHddZNQkAmgyIgCQr+HXvOYG9q9xenbgFkqxgVORh3deYSUlmR186U4X9Z57+gP/HaDVTQ8exwSl7K8rCHWqVuCeG6q8S552p4ZrOTA1WYsyhjYGuIBx0RPZ0wmQ530cHr4UkK1i2i78TROnkzIk7dt1R3de4ikx8MNNeKbKM+r/5asaKzxfu1n1NsMveiuIq/vDMCP3FH7xz717J0pd710qMObQx0BWEg47Ing6nXHV/oF3QWTUJAB53lg1eGH9WYO8qt45j1SpnP0brr3I2aKW6CevdcP1lg+3o4zlqxgr5F/0ZK2YEueytKOGxzr/XqGjd13hXU0vJ0P97wSqMObQx0BWEg47InvYlZZiauXl62AZIsoKft50R2LvK7fnvN0KSFUzddEL3NWGrD0GSFbwxJU5gz8q/D2aqGSv6L9OfsSLYZW9FmbzxOCRZQYcxMbqvMfukxyqMObQx0BWEg47InhJOp7k/0K7m3tB9Xeh3UZBkBTO3nBLXuUru2ZHRkGQFMzaf1H2NXTMHGGUmY0Wwy96KMm69usnu5fGxuq9JSvOs3T92Uf/afasw5tDGQFcQDjoie4o7ker+QLueX6D7unajjc82kjGuWfO5207rvuYHZ1DTyUBQY0f/nKKWQh62Wn8pZFfZ28cMZCeoCEab+PJz8aonG8vBc/qzsViFMYc2BrqCcNAR2dOmo56qSYWF+vNlvuBcPzox+rjA3lVuTww1vg56kvMx9Qs2yxxgVBdnxorRBjJWBLvsrShmlrNkZN9w/17YfTZdYO9Kx5hDGwNdQTjoiOxp/SG1AtJ9XxmrgPTy+FhIsoJx6/VnBCBjXJktlu5K0n3NNOfGo7YGNh7ZkWt8jt+gf3wGu+ytKGY2KObkeUqDbz95RWDvSseYQxsDXUE46IjsyfXh/qf+xj7czcyYkTFmchXP3noKkqyg9YgogT0r/zqMiYEkK5i8Uf8TB1fZW6Nf+so7V8q5D2fpTzlXUOgp8x179LLA3pWOMYc2BrqCcNAR2ZPrcW2zbyINXff6ZHUN5PA1+tdAkjFmqs/N365uqHoyzF4bqox6bpS6kS88Vv9Gvpgj5pbxlHeuIiKfzt1p6LpglvlmzKGNga4gHHRE9vRLgroBp+W3+qsmAcDb07ZBkhUMUfTvaif9ioqK8Ic+atAVlXhR93WuDVUtv7XXhiqjnhmhbuSbE6d/I982r42ZuTf0b8ws7z5zloX+bIH+4hkA8Kf+a5xftM4L6pk2xhzaGOgKwkFHZE/znDOATxmcAfz3dDV908AVBwT1rHK7UVDoDrq2HNP/6Hilc4a+ic02VBnl3si3Q/9Gvl1nPKn2MnL0p9or7z6duxOSrKD34j2Grmv2TSQkWcGKPYEv882YQxsDXUE46IjsaZZzTWeb74yt6ew2Kx6SrOCrpfsE9axyy7qe7w664k/p3wy0Zn8KJFnBQ/1XC+xd+WdmI9+Bc57iKZeuXhfYu8D60Ple7bfM2Hu15bfql4XFCfrvoVUYc2hjoCsIBx2RPU3ddAKSrKD96I2GruvxszpL9OUiY7NEpM+VrDx30LUvKUP3dVGJFyHJCv5osw1VRrk28il79T92P3bRUw0sKS3w1cBEeddZPOOblcaevgSz+iFjDm0MdAXhoCOyp4nRat7Vjgbzrn6+UF339995uwT1rHJLyfAk7D+cclX3dbFHL7uvK7DRhiqjHuinbuSLPKB/I9/ZK55qYCcuBb4amChv/hQHSVYQtvqQoevMVOazCmMObQx0BeGgI7KnseuclbQmbDZ0XZ8lasqij2brT1lE+p1J9QRdJy9n6b7OrhuqjCgqKkIj10a+w/o38l3I9Hy5SEwJfDUwUV51pgIcZTAV4F+/V1O0TYkJfFEYxhzaGOgKwkFHZE8j1iRCkhW8NnmroesGrjgASVbw7+n6k9CTfkcvXHUHXefSc3Rft9NrQ1Vmrn02VBmRb3IjX3q2Z7nI3qTAVwMTpZPJ4i4vjTNedMMqjDm0MdAVhIOOyJ6+/VWtmvT2tG2GrgtbpZYVffMn/WVFSb/9yZ6NUZev6d8Y5X1dqoHr7CQ7z7ORb4eBjXxmryvvXMUzJhkongEEtygMYw5tDHQF4aAjsqf+y/ZDkhV8MHOHoetGRR6GJCt4deIWQT2r3BJOe2ZmrxqYmT3iNRN8PkP/TLCdZGTfcN+D3Wf1z8x6zwRvNjATXN61NVE8AwDemGJuba8VGHNoY6ArCAcdkT25qiZ9MjfB0HXjN6hre18eHyuoZ5Xb1uOetbbX8/WvtT11Oct93elU/Wt77eTS1evue3DgnP6MFQBMFeko71zFM2YbKJ4BmM/WYAXGHNoY6ArCQUdkTz3n7zJVNWlKjJqt4a/fxwjqWeW20ascbVGR/uwJ5zNy3NcduaA/W4OdJKd77sGxi8buQTCrgYnyl6HrDRfPAMzn37UCYw5tDHQF4aAjsqdP5iZAkhX8b/FeQ9fN3KIWmnh2ZLSYjlVykQfUwg8P9DNW+MFs/l07OXHJkw/37BVj+XBd1cCW77bPZ52Z4hkA8OnP5iqqWYExhzYGuoJw0BHZ0/szdkCSFXy9fL+h68yWDiZ9ft3rLOU7wFgpX++Kagmn7bOhyohD5zPd9+BiZq6ha/88RK0Gtije2OxneWameAYAfLZAzZXdc37gc2Uz5tDGQFcQDjoie3p72jZIsoIhykFD1/2SkARJVtDy27WCela5ue7vY4ON3d8bJlNr2cnus+nue5CRbSzFWqvh6nrWuduMrWctz8wUzwDMr9+3AmMObQx0BeGgI7Kn1yZthSQr+C4i0dB1ZmccSR+zM+ZFRUW23FBlxPaTV0wXzXjOZIaC8sq7eEa0geIZgPmMLFZgzKGNga4gHHRE9tRpwmZIsoIfDCaTN7uGlPRxrYEO/S7K8LWeDVXGZvDsYtNRz0a+QoNlkM3mnC2v/JnhH2wyx7YVGHNoY6ArCAcdkT2Z/WA3mxWA9PEnq0XzQfbbUGXEuoMXIMkK7u+7yvC1Zr/4lVfea7bjDRbBGO6smvi6waqJVmDMoY2BriAcdET25HpUO32zsUe1ZvO8kj6uPMUvjTOep/hx54aqhTbaUGWEsvc8JFlBYxPLalxLeUZGBL4amAjeZY33GCieAQDfrz0CSVbw9x83C+qdNsYc2hjoCsJBR2RPTw8zt/lm5xlzlbtIH1fluS4mKs+ZLRBgF0t3mdvIBwD/mmpuc2Z5dSEz1/0+TUzJNHTthKhjkGQFL47bJKh32hhzaGOgKwgHHZE9udIpLU4wlmNzf3KG+wP08rXrgnpXeYWtOgRJVvDmT3GGr203eiMkWcE0m2yoMmq+H6nv3nOm2xtgMN1eeXUmNdv9Pj112VilvKmbTkCSFTz//UZBvdPGmEMbA11BOOiI7KnpQDXH5oo95wxdd+ziVfcH6Ln0HEG9q7wGrjgASVbQdfp2w9f+7YdNkGQFP0YfE9Cz8s+fYiYfz1ELqPRZYqyASnl15ILnfXo+w9j7dNZW8xsi/cWYQxsDXUE46Ijs6aH+ao7NCIM5Nr1nik4anCki3/os2QdJVvDR7HjD1/79R3VD1fdrjwjoWfnnz0a+/3OWxP7cYEns8mpfkufJy5WsPEPX+jMz7i/GHNoY6ArCQUdkP/7k2EzJ8Kz9O5xyVVAPK68vFu6BJCv4zzzjVan+OUXdUDV8jbHcyHYxbr26ke/l8cY38vVapN73T3/eKaBngRd/ypNTODsv39C1S3YGrygMYw5tDHQF4aAjsp+8fK8cm8eN5dhMy/Ls5t6XlCGoh5VXj593QpIVfLFwj+Fr3w3fDklWMGilPTZUGeXayPePScY38vVbps6kfzjL+Ex6eRR79LL7fZpfUGjo2pV7nEVhBga+KAxjDm0MdAXhoCOyn2teOTYTTqcZutaf/JzkW7dZ8ZBkBV8t3Wf42g+d1/Y1ca0dDHVu5PvXVOOFDgatVIskvBtufG10ebT+kJpT+L6vjOcUjnAWhXkwCEVhGHNoY6ArCAcdkf2kXrvuDlb3Jxublc33o+IS+dZ1ujorO3DFAcPXumaDey0yPhtsBwOWq6Vr359hvHTtsNVqkYR/Tgl8kQQRVu0zn1M4+vBFSLKCRn0CXxSGMYc2BrqCcNAR2c/5jBx3sHr0gvF1tn9wru+NSjS2vpd8e2NKHCRZQdjqQ4avda3v/a+J9b12IP+yF5Ks4JO5CYavHe0sktA5CEUSRHCtszWTUziYRWEYc2hjoCsIBx2R/Zy6nOX+IDudajxzwp/6r4EkK1iz31jGBvKty8QtkGQFoyONV+j6aqn5jA128NmC3ZBkBT3nGw/0g1kkQYR5fmRO2OVVFCYjJ7BFYRhzaGOgKwgHHZH9eOfYTMnINXx9s28iTeXgJd9eHKfmwh2/4ajha/3JwWsHn85Vl278b7HxXLjBLJIgwozNJyHJCp4zkVP40PlM9++Hi5nGfz/4gzGHNga6gnDQEdmPPzk2AeBxZ1W1RfFnBfSucnv+e7W62U8xJwxfG7bafFU1O/hgplrd7GsT1c1cRRLaBKFIggiTNqo5hTuMMZ5T+KTXE58zqdkCeqeNMYc2Wwe6iYmJaN++PUJCQlC/fn307t0beXllfzgdPnwYPXr0wMMPP4yaNWuiUaNG+OSTT5CammroZ3PQEdlPwmlPjs2s68ZybAJAq+EbIMkK5m47LaB3lVvod1GQZAUzt5wyfK1rnWmXicbTa9nB29O2QZIVDFGMp1dbsEN91P9kEIokiDB2nZpTuNME42uOvdfwHzGxht8fjDm02TbQTUtLwz333IM2bdogIiIC4eHhuPPOO9GjR48yrxs/fjyaNWuGsWPHIjo6GjNnzsT/+3//D40bN/YZJHvjoCOyny3HPDk2bxjMsQkAbUdFQ5IVhMeeFNC7yu3JsPWQZAXzt58xfK3d1pka9doktWDGyAjj65uX7jK/eas8GrFGzSLx2mTjWSSCmSubMYc22wa6YWFhqFWrFq5c8eSrnDJlCqpVq4Zz57TXx6WmppZIC7JlyxY4HA4sX75c98/noCOynyhn+qA/mEwf9MJYdR3ppI3HBfSucnts8FpIsoIlO5MMX2u3daZGdRofC0lW8MN64+ublb3m03GVR668wO+YyAuck1fgDnR3BDhXNmMObbYNdFu3bo3OnTsXey09PR1VqlTBjBkzDLWVk5MDh8OBiRMn6r6Gg47IftbsVxPC/6n/GlPXd5qwGZKsYOw64wEFla3xgAhIsoJf9xrf6DfbZutMjeowJgaSrGCyiS9grgIL9/c1XmChPOq71Hylt8LCInegu+noJQG908aYQ5ttA926deuiX79+JV5v0KABZFk21NbatWvhcDgQHR2t+xoOOiL7WeEs8dnsm0hT1782WX1E/F1EosU9o/v7roIkK1h38ILhaxfuOAtJVvCXofZYZ2rUcyPVJTUzNhtfUrP5mPmSueXRl4vUnMo9ft5p6voH+q6GJCtYa2Ic+oMxhzbbBrrVq1fHyJEjS7zeuHFjdOvWTXc7ubm5aNasGVq2bFnmo8rMzEwkJye7j/j4eA46IptZFK8GRI8PWWfqen82/ZA276pzm01UnVu2KxmSrKDFIHNfYCq6p4epmyTnmVjfnHDakzv2mokNmuWNq0relyar5DUZqD5ZWBngFIIMdLUx0PWha9euqF27Ng4cKLus5MCBA+FwOEocHHRE9jF322lIsoJWwzeYut6Vxqn/MuNpnEjbtev57mAr4bTxtZGrnWVfH/na3JKUiq7lt+bXNx8450m5d/nadQG9C6wPZ8VDkhX0XbrP1PV/DlIKQQa62mwb6FqxdKFfv36oXr06IiJ8L7LnjC6R/YXHqsnk246KNnW9a7aol8nZIirdpavX3cHW/mTju903JKrrTO/7yh7rTI1yzUKaWd98/NI1970/eyWwuWNFeCd8OyRZwaCV5p66PDNCnR2fHRfYFIIMdLXZNtBt3bo1unTpUuy1jIwM3ZvRxo0bhypVqmDWrFmmfj4HHZH9uJLJvzDWXBqqXn6u/6PSnb2S7Q62jl+6Zvh673WmBYXGs2lUdA/0M7+u9Fy6J3fssYuBzR0rgmsd/Yg15tbRtx+tFi6Zusl44RJ/MObQZttANywsDLVr10Z6err7talTp/pMLwYA8+bNQ5UqVTB8+HDTP5+Djsh+xqxTCwt0/tF4MnkA+Hr5fkiygg9m7rC4Z5XbUa/SzMnpOYav33HKUwgkJ69AQA/Lr6IiT6aAmCPGMwVcCWLuWBH8zYzy0rhY06Wo/cGYQ5ttA11XwYjQ0FBERkZi+vTpqFOnTomCEW3btkXbtm3df964cSNuueUWtGvXDnFxccWOpCT965c46Ijsx1Uq9q2p5krFhq3y73oqnb+lmfcmpbuvT882fn1FlnvDk/t12wljFUCB4OaOFcGVas1srut/TNpiuviGPxhzaLNtoAsAhw4dQrt27VCzZk3Uq1cPvXr1KlHdLDQ0FKGhoe4/a20qczgcGDhwoO6fzUFHZD8D/JyR/X6tfzPCVDrvGdnsPOM7/w+neGaEUzJyBfSw/MrIueH+u+8+m+77gpt45441MyNc3jzrR6o1wJNZ5dtfA5tZhTGHNlsHusHEQUdkP/6usZ0Yra7x7WhyjS+VLubIJXewVWhija33Gt+Tl7ME9LD8ung11/13P3gu01QbDzrX+EYeSLG4d4H3lLOUtJlUawDwwUw1a0O/ZeayNpjFmEMbA11BOOiI7MffrAkzNqtZG54bGW1txyq5yANqxboH+q02db131gazwV5FdSbVE+SfMhnkN/smEpKsYPnuiv95508paQD41M88vGYx5tDGQFcQDjoi+3Hlwf16ubk8uAt2nIEkK3gyrHJW4BJl+e5kvyrW+ZuHtyJLTMl0/90vZJpbtvGXoeos6MIdgc0dK8IjX6+BJCtYte+8qeu/WBiczCqMObQx0BWEg47Ift6aGgdJVhC26pCp610BWfNKWoFLFFcJ3yeGmqtYV+C1zjT2qPHKahXZrjOeymaZuTdMtRH6XRQkWcGsraes7VwQ3PeVWkp6/SFzJXz7Lt3nXMcfb3HPysaYQxsDXUE46Ijsp/OPauqh79ceMXW96xH7gyYfsVPpZm45BUlWEPpdlOk2HrDROlMjtnjlEL5RUGiqDVemgskmMxWUF96lpM1+4Rn860FIsoK3p22zuHdlY8yhjYGuIBx0RPbzwthNfqUe2nTUv01TVLrJzkIeHcbEmG6j+SD7rDM1Yt1BtSrc/X3NV4V7xc/cs+VFltcSFrOp0r6LSIQkK/jHpC0W965sjDm0MdAVhIOOyH5cqYdmbjll6vp4P9NgUenGrjsKSVbwygTzaduedO62n29yt31FtXLPOUiygqYDfZe61/LPKWo1sWGrzVUTKy8uX/OvlDQAjFuvjsWXxsVa3LuyMebQxkBXEA46Ivvxd9PN/mRPYYPUa9ct7l3lNWy1Oov2zylbTbfxnPNLzHST+VMrKn/XNwPAv6dvhyQrGLjigIU9CzzvNHMnTJSSBoCfYk5AkhU8//1Gi3tXNsYc2hjoCsJBR2Q/rjRKK/aUXUZcy/FL19wfpElp2Rb3rvIauOIAJFnBv6dvN93G335Ql6X8GH3Mwp6Vf671zc/6kfLu4zkJkGQF8i97retYEFhROGT2VvV+th5hfr24GYw5tDHQFYSDjsh+XBuW1h40tyM7OT3H/UF67OJVi3tXecm/7IUkK/h4ToLpNl6dqJZuHRUZ2NKtweYqYvKCH0VMPl+wG5KsoOf8XRb2LPB2emWgyMgxl4FiYbw6Q/74EPMz5GYw5tDGQFcQDjoie7EiBdWVrDy/1wBSST3n74IkK/hswW7TbQSrdGuwjXaWpe4y0fzmqT5L1JRaH80ObEotq222IAPFCgvWPJvBmEMbA11BOOiI7CXLgqICOXkFfu/qppI+mq2WXe2zxHzZ1W6z1Da+WhrY0q3BNkRR02H9a6r5dFiDVqptvBtufulIebDWggwU7ip9fQObQpAxhzYGuoJw0BHZi0U1XQEAACAASURBVPeO7APnzM3GFnrNCsccuWRxDyuvd8PVzVDfrDS/Ger/nLPCn/sxK1wR9VumzsZ+OMv8bOyINepmwNcmm98MWB64Crr4Mxsbe9QzK5xvclbYDMYc2hjoCsJBR2QvVuzIBoCH+qvrfCMqWWECkV6frKa3GrHGfHorK9b5VkSfL1TX1/53nvn1ta6UWp3GBzalltXmb/e/RLcV63zNYMyhjYGuIBx0RPZy9IJnR/b5jBzT7bSopIUJROo0PhaSrOCH9eYLFnyz8oAtHr8b9clc/zMmBCulltXCY09CkhU8NyradBtHLPo9YRRjDm0MdAXhoCOyl71J6e4PsPTsPNPtPFVJCxOI9Nfv1RK0P8WcMN2GXR6/G9XVghy4s+NOByWlltUmRB2DJCt4cZz5DBRJaZ4nP4HMrMKYQxsDXUE46IjsZduJVPcHWO6NAtPtPDeqchYmEKn1iChIsoLZW0+ZbmP8huBUtAo2K5Z9LHKm1PpzgFNqWc39ZWeS+S876dmezCp7zqZb2LuyMebQxkBXEA46InuJPnwRkqygUR8FRUVFptuprIUJRHp8yDpIsoJF8eYq1gHA1E3q4/d2oyv243ejXnYu+xjnx7KPX/eqKbWaDAhsSi2ruQqP+LN8JS+/0B3objluLg2hGYw5tDHQFYSDjshe1uw/D0lW8PDXa/xqp4uzMMHoSlaYQKQmAyMgyQpWmqxYBwBzt6mP358etsHCnpV/7UdvhCQrmLrJ/LKPqET1S+Af/PwSGGz/W2zNhsT7+67yq7CMGYw5tDHQFYSDjshelu5KgiQreGzwWr/a+ddUtTDBEKVyFSYQpaioCH/oo86gRSVeNN2O69/3UT//fSuap4dtgCQrmLvttOk2tp+84p7FzMkzv6wn2P4zT00x98XCPX610zwIG04Zc2hjoCsIBx2Rvfy87YwlM36VtTCBKNl5nkIe/hThcM3Y/6m/fzP2Fc2jg9dCkhUs3ZVkuo2D5zLd/wYXr+Za2LvA+mDmDkiygv7L9vvVjuvLw8/bArfhlDGHNga6gnDQEdnLNGfqIX/XcFqRt5Q8Ll7NdQdZB89lmm7HtQZbkhUUFlbcx+9G/an/GkiygjX7z5tu40yqJ9PAyctZFvYusN78KQ6SrCBs1SG/2nEtB/EnC4hRjDm0MdAVhIOOyF5+cCbFf9nPpPgDlu+HJCt4f8YOi3pWuZ24dM0dZJ29km26Hbs8fjfCu1LfRj8q9aV6VQ3cn2yuamB50GnCZkiygjHrjvjVzisWtWMEYw5tDHQF4aAjspehqw5BkhW8NTXOr3Yqa75WUfYlZbiDrCtZ5vMbe7dz+dp1C3tYfuXkFbj/zttPml/2cT3f007ciVQLexhYz3+vzsROiTnuVztvTVVnhof6OTNsBGMObQx0BeGgI7KXPkvUHdndZ/u3I/vHaDUpfcex5pPSk8eW45fdQdb1fPMzsScvZ7nbOZ1acR+/G3HZwplYV6aBdQHMNGC1VsPVtbVz4sxvzAOAD53r8PsGcB0+Yw5tDHQF4aAjspceP++EJCv4cpF/O7Jnbz0FSVbQ5ruKXUWqvFh78AIkWcEDfVf71Y6VQV9FccrC4D4YmQas9phzY96SneY35gHAZwvUdfg95wduHT5jDm0MdAXhoCOyFytKpQLAkp3WpCkjlSstWItBkX614/34PZCJ/oPJqmUfgDVpyoLNio15ANB36T5IsoIPZ8Vb1DPfGHNoY6ArCAcdkb1YVegh8kAKJFnBg/38m4Ek1ew4tdDDMyP8L/TwQN/VkGQFEQdSLOhZ+bflmGfZx42CQr/a6jAmBpKsYPJG/9a3BotVG/MA69bzG8GYQxsDXUE46Ijs5a/fx1iyUcU7uMjL9y+4IGBi9HFIsoIOY2L8bsv16PqXBP8eXVcUa/arX7oe6u//l66KXvEv67o1+ZgBYOw6NUNLpwmbLeqdb4w5tDHQFYSDjshengpbD0lWMG+7f0ng9yaluz9Q0/x8XEzAyIjDkGQF/5i0xe+2Qr+LgiQrmLH5pAU9K/8WxZ+FJCto+e06v9t6J1xd2jNoZcWs+Hc+I8f9vjycctWvtqZuOgFJVtDez5zbRjDm0MZAVxAOOiJ7aTIwApKsYOWec361Y1XeV1INXHEAkqyg6/Ttfrf14rhNkGQF49YftaBn5V+4swjKcyOj/W7r07nqZs3/Ld7rf8eC4HDKVff7MiXDv+puVlVRNIIxhzYGuoJw0BHZR2FhERr1UT8Eow9f9Kuti5meSl6Hzpuv5EWqLxftgSQr6PHzTr/bemOKNZWxKgr3I3Y/i6AAQO/F6r/Dp3P9/3cIhh2nPAVDsvPy/Wpr+e5kSLKCZt/4t0HSCMYc2hjoCsJBR2Qf17zW7yWc9m/9Xnaep614P9cCEtB9dgIkWYH8i/8zid2c+U/7LAlc/tNgGqIchCQr+NfUbX639c1KdWb93XD/Z9aDYf0hNU3dfV+tQlGRfyWgNySqbf3Rgrb0YsyhjYGuIBx0RPaRkuGZhT1ywb/1e0VFRfiDc3Y4ys/ZYQLenrYNkqzg21/9Xxv6+cLdls0OVwTyL2oRlI/n+FcEBQBGR6prpV+d6P9a6WBwpal71IK0fwmnPbPDV3NvWNA73xhzaGOgKwgHHZF9HL3gWb93Lj3H7/asWu9LwCsTNkOSFXy/9ojfbVm53rcicK2r7b3YvyIoADB5o3XZL4JhxmZ1vXKoBYVcjl0M/Dp8xhzaGOgKwkFHZB87z6RZOkPjyuAw388MDgS0H70Rkqxg6qYTfrc1yjkr2aWCzkoa5ZoNH2zBbPgcZz7jVsMDtwHLSj+st269cjCq7DHm0MZAVxAOOiL72HjkkvuDq7DQ/zV3VgZnld2TFqV9A4ApMeqs5PPfBy4tVDBZORvu2oDV3M8KdcHy7a/qeuW3p/m/XvlGQaH790Xs0cBU2WPMoY2BriAcdET2oew9D0lW0HhAhCXt/f1H6wKMyq7xAHUZyK97/V8G4koL9VTYegt6Vv61HRVt2Reu6MMXIckK/tBHQYEFXwYDzeqsEVaOSz0Yc2hjoCsIBx2RfczfrgZAT1oUALkeGVfU5PrlxfX8AvfM2ZZj/s+crdxzDpKsoIlFX2jKu8eHrIMkK1i446zfbVX0QigfzXZl3LAmD/DTwzZAkhXMiTttSXu+MObQxkBXEA46Ivv4KcbaSkf/N38XJFnBZwt2W9JeZXXB4pzErlnJRn2sWaJS3j389RpIsoLV+8773dbZK9nuf4vjl65Z0LvAcudQXm1NDuW//aAWH5kQdcyS9nxhzKGNga4gHHRE9jFsdSIkWcHrk7da0p4r5+g7FTTnaHlx6HymO7i6kOlfNSugeFqozAClhQqWfIvXkVqZazoYrA5M35qqBs5DA1R8hDGHNga6gnDQEdmHa/3eJ3P9zzcKAOM3qDu8Xxy3yZL2KqvNxy67g6u8/EK/2/Muz3w6NcuCHpZfV7Ly3H/XvUnpfrdXVFSEB/quhiQrWHvwggU9DKxnRqhLDWZbtNTAytRtejDm0MZAVxAOOiL7+GDmDkiygn7LrKmYNXfb6Uq16UkUq9fUZube8JqVTLOkzfLKOzd0sgW5oQFr1/wGWlNnbuvlu635zP5q6T5IsoJus+Itac8XxhzaGOgKwkFHZB+uLAmjLcqSsGa/msXhof6rLWmvspq19RQkWUHrEf4n+QeKz0pGHkixpM3yastxz2x47o0CS9rsMCYGkqxg8sbjlrQXKIWFRWjkrFYYbVG1whFr1OVOr1m03MkXxhzaGOgKwkFHZB9tvouCJCuYueWUJe1tP+lZC5qdl29Jm5XRmHVH1CT/EzZb1qaVeXnLsxUCMkz8c8pWSzd0BYr3Mo7dZ/1fxgF4cjL/9fvAVIpjzKGNga4gHHRE9uHKiWlVyd5glAi1owHL90OSFfzbwpK9L45TNyWN33DUsjbLo/BYteTtsyOjLWvzk7kJAV2XapXEFM+mRitKfAPAgh1qSsInhq6zpD1fGHNoY6ArCAcdkT1YnasVKD6DtMeiGaTK6D/z1DRtXyy0LrB6N3w7JFnBwBUHLGuzPPouQn20/qqF5Y77OtelfhigdalW2XTUU/nQik2NABB5IAWSrOD+vqsCkqqOMYc2BrqCcNAR2cP5jBz3h2Biiv+5WgF1TeAfnGsCoyxaE1gZuVI4DVGsK7zx+cLdkGQF/5m3y7I2y6P/Ld4LSVbQfbY1mUQAYGTEYcuD50D4JSEJkqzg0cFrLWvTu4DG5WvXLWtXC2MObQx0BeGgI7KH/ckZ7g+si1f9z9Xq8tjgtZBkBb8kJFnWZmXzwlh1mcGP0dYl5R+66hAkWcGbP8VZ1mZ59P4MazOJAMA053KI50ZFW9ZmIEyMtn497UWvYib7kzMsa1cLYw5tDHQF4aAjsoeYI57HmjcKrHmsCQDtRm+EJCv4KeaEZW1WNk8MXWf5xrHJGwO7iShYOk1QM4l8b1EmEQBYukudGW32TaRlbQaCq4DL29O2WdZmQWER7vtqFSRZwboA5BVmzKGNga4gHHRE9rBsV7KQD+/XJzt3qAeocpLd3Cgo9Cz/SLRu+cdi52Pslt9a9xi7PHp6mLUFEgAg7kSq+0th1vWKk03k05/V4g6fL7S2JPdTzgwecyy8x1oYc2hjoCsIBx2RPfwUc0LI49jPFqhrQT/9eael7VYWZ69ku4OqIxeuWtZu1OGLkGQFf+ijoCAAm4iCoaioCA/2U/MFr9533rJ2Rf2biPaa80vnsNWJlrbb2Zl/e2TEYUvbLQ1jDm0MdAXhoCOyh/7L1BRW74Zbl8IKAEZHqht3Oo2PtbTdymLrcTGzhwfPeVJNnc+wJtVUeZOR46kAF3/qimXtipplF+3ZkdGQZAXTYk9a2q6rDPCXi8SnW2PMoY2BriAcdET28I4z3dTXy/db2u7C+LOQZAWPWbjTuzJxLTFoMcjaJSXXrue7g8C4E6mWtl1e7Evy2mCZad0GS8DzuN7KJRGiPfL1GkvzZLsMWnkQkqzgX1OtW/urhTGHNga6gnDQEdlDqLMq2tRN1m4aEzUjWVmMXXcUkqzgxXGbLG+75bfqJrcFO+xZHW2lsyran/qvQVGRtcsz/jFpi5BlAKKkZ3tyWu+wcHYb8Cx7ajd6o6XtloYxhzYGuoJw0BFVfN47pyMPpFjatvd6xsMpFWc9Y3nRe/EeSLKCj2ZbX5ygy0Q1WBu+pmIEa0aNW69+SegwxvrMEj3n76pQeYgTTnvKcV/JyrO07V/3er5QiC4awZhDGwNdQTjoiCo+kcFofkEh/hjA9EN24yoWMWildcUiXFxFIz6da8+Ngl8sVL8kfDzHumIRLq6Ka51/3Gx52yIs3HHW8mIRLodTrrp/f5xOzbK8fW+MObQx0BWEg46o4tt87LL7gyonr8Dy9p8ZoaZ4mrHZ2k0wlUEb55ISqzcQAcAPzhnPv/1g/bKI8uDVieKWF8zbfqZCpWcLcxYI+cck66u53SgoxP191S+za/Zb+0ToZow5tDHQFYSDjqjimxN3GpKs4PEh64S0//a0bZBkBV8tta46VWWQmXsDjZy7+6MFlFBevlvNndx4QITla1jLA9ca5PkWFtpw2Xkmzf3l8ILFG91E+GCmWiFO/mWvkPY7jImBJCsYs866whylYcyhjYGuIBx0RBVfr0XqI96u061NLeYyYo36mLfjWHvOHIqyxWumPT3b2nWVQPGyz2dSsy1vP5iuZHk2X4nIKpF7o8C9JGdtBViSI2qzqYsrX3b32dYvE/HGmEMbA11BOOiIKr62o9T8mmPXHRXS/tqDFyDJCv741SohSyPsamK0Wqa3zXdRQtq/UVCIP/VXU04t2Zkk5GcES8SBFEiygvu+WoXsPDHZPl4YuwmSrGB0pPhCCf64mntDeN5fV0np1iPEjFUXxhzaGOgKwkFHVLF5px3adPSSkJ9x6ep198/YftLa1EZ21n12AiRZwX8F7ux/8yd1s1ufJfZaVjL4VzW36ysTxG0W+9/ivUKfhFgl0hn0//GrVcjIuSHkZ8Sf8mR1SEzJFPIzAMYcZbF1oJuYmIj27dsjJCQE9evXR+/evZGX5/sxV15eHnr16oX69esjJCQE7du3x+HDxr6ZctARVWxRiWop2EZ9FFzNFfMhCABPD1M3pE2IOibsZ9hJfkEhHhu8VujjZgAYvfYIJFlB+wDkQA2kl8bFQpIVhK06JOxnzN2mrm1vMiACuTfK75MKV9VDkRkiCguL3O9xkbmFGXNos22gm5aWhnvuuQdt2rRBREQEwsPDceedd6JHjx4+r+3evTvuvPNOhIeHIyIiAq1bt8a9996LjIwM3T+fg46oYvvcubZOREECb32W7HUHVHbc+GS1qMMX3TNkpy6LS9kUe9SzDvj4pWvCfk4gJafnuB/Vrz8kbv1sSkaue7Pg6n3nhf0cfxQVFaH1CHV97vdrxW4UG+5ci/9U2Hph+XQZc2izbaAbFhaGWrVq4coVz+PAKVOmoFq1ajh3TrvMX1JSEqpVq4affvrJ/dqVK1dw++23Y8SIEbp/PgcdUcWVlpWHB/qthiQrmLX1lNCflXDas0t915k0oT/LDv4zb1dA8rTeKCjEk85ytlaXfw6WsNWH3GWnRc+0uvIcfzBzh9CfY9b6Qxfc77u9SelCf9bhlKu4v+8qfDAzXsjmSYAxR1lsG+i2bt0anTt3LvZaeno6qlSpghkzZmheFx4ejipVqiA9vfjA79y5M0JDQ3X/fA46oorLVXXrT/3XIFPgsgVAnVlqN3ojJFlBpwmbcaOgUOjPq8i2Hk91zxTOiTst/Of9GH0MkqzgwX6rcfCcuPWVgXD80jU0GRARsE1iS3YmuQPJDYnlK/tCdl6+O+3XG1PiAvIzRa0BdmHMoc22gW7dunXRr1+/Eq83aNAAsixrXte7d2/ce++9JV7v27cv6tevr/vnix50NwoKkZF9o8wjPTuvzCMty/dxxceReu26z+Oyj+PSVd/Hxau5ZR+Zvo8LPo6UDN/H+YycMo9z6b6PZB1HUlp2mcfZK/4fZ1J9H6dTs8o8Tl32fZz0cZy4dM3ncdzHceyinuNqmceRC1cRdfgiPp270/0BPX6DmGwLN/N+HN9l4hb8uvcc9iVl4Fx6Di5m5uLSVfW9lJ6dZ+i9buQ9rfe9a+g9auC9qPWeO52ahbgTqRi/4Sge/nqNOx1bXr74LwQZOTfcs7qPDl6LqZtOIOH0FZxOzXL/u1y+dh1XnPf25n+PtJvu78330Pseed+Hm3+feP9OKO097P1+vPl9tS8pA7O2nnLnzn108Fpcunpd+L0rKCxC5x83u78ofL/2CLYcv4yTl7OQkqGOj8vXrpe4b2Xds5vvl/fv5ZvvVWn36XDKVazYcw5/+2GT+/22TUCKtWBgoKvNtoFu9erVMXLkyBKvN27cGN26ddO87sMPP0Tjxo1LvD5y5EjccsstmtdlZmYiOTnZfcTHxwsddJuOXnK/UXnw4GH90W1WvPD69N5GRx4O+t+5Ihwtv12HoxesLcdclr1J6XjEGWBX9OPBfqux41TgsnucTs3CU84vCuXxmG6jioQMdLUx0L2J2UB34MCBcDgcJQ4Gujx4VKyj49hNmBN3OqBBrsv6Qxfw+uSt7rKhPDxHy2/Xod+yfbh8Tfxs5M2S0rLx+cLdaPZNZNDvg5mjyYAI/GfeLpwUuHlPS1pWHgauOIAnhq4L+n2QZAUP9FuNt6bGIfbo5YDfC5EY6GqzbaAb6KULgZ7Rzcy9gT1n030ee5PKPvYlZfg89if7fxw4V/Zx8Fymz+PQ+bKPxBTfx+GUq2UeRy74Po7qOHw9JtfzqN3X43o9j/x9LRvQs/TA1/IFPUsgrFhq4Ws5h54lIb6WlZSXVEiFhUW4eDUXRy5cRWKKOv73J6vvR633tRXvXyPvTb3vQSPvtdLeSycuXUPWdTGFDYwqKipCZu4NHL90DYfOe/5d9idnYG9SOnaX8ru3tH8D7/vqfd+8703J3yUl3/snS3mf3vx+u3g1Nyhf2kqTk1eAk5ezcOTCVRw6n4kD59T7Udb98h6H3uNM+155fn/efJ/OpefYdg08A11ttg10W7dujS5duhR7LSMjQ/dmtJtTiXXp0oWb0YiIiKjcYcyhzbaBblhYGGrXrl0se8LUqVN1pxebNm2a+7W0tDTUqlWL6cWIiIio3GHMoc22ga6rYERoaCgiIyMxffp01KlTp0TBiLZt26Jt27bFXuvevTvq1KmD6dOnIzIyEqGhoSwYQUREROUSYw5ttg10AeDQoUNo164datasiXr16qFXr14lSgCHhoaWWJJw/fp1fPnll6hXrx5q1qyJ9u3bIzHRWOk+DjoiIiIKBMYc2mwd6AYTBx0REREFAmMObQx0BeGgIyIiokBgzKGNga4gHHREREQUCIw5tDHQFYSDjoiIiAKBMYc2BrqCcNARERFRIDDm0MZAVxAOOiIiIgoExhzaGOgKwkFHREREgcCYQxsDXUE46IiIiCgQGHNoY6ArCAcdERERBQJjDm0MdAXhoCMiIqJAYMyhjYGuIBx0REREFAiMObQx0BXkzJkzcDgciI+PR3JyMg8ePHjw4MGDh5AjPj4eDocDZ86cCXb4U+4w0BXENeh48ODBgwcPHjwCcXTr1g2ZmZnBDoHKFQa6guTl5SE+Ph5nzpzR9S2MM79iv+Xy/vIeV+SD95j3t6IfvMdijzNnzmDVqlVwOLh84WYMdIMsOZnrakTi/RWP91g83mOxeH/F4z0Wj/e4dAx0g4wDUyzeX/F4j8XjPRaL91c83mPxeI9Lx0A3yDgwxeL9FY/3WDzeY7F4f8XjPRaP97h0DHSDLDMzEwMHDuTicUF4f8XjPRaP91gs3l/xeI/F4z0uHQNdIiIiIrIlBrpEREREZEsMdImIiIjIlhjoEhEREZEtMdAlIiIiIltioBskiYmJaN++PUJCQlC/fn307t0beXl5we6WbcyYMaPU8ojDhg0LdtcqpGPHjuGjjz5C06ZNUbVqVYSGhpZ63rRp0/DAAw+gRo0aaNasGX799dfAdrQC03OPQ0NDSx3XKSkpge9wBbNo0SJ06tQJ9957L0JCQtC8eXPMmDEDRUVFxc7jGDZHz/3l+PXP4sWL8dRTT+Huu+9GjRo18OCDD2Lw4MG4fv16sfM4hotjoBsEaWlpuOeee9CmTRtEREQgPDwcd955J3r06BHsrtmGK9Bdt24d4uLi3Me5c+eC3bUKafny5WjYsCFee+01PPjgg6UGYfPnz0eVKlXQv39/REVFoXv37qhevTri4uIC3+EKSM89Dg0NRZs2bYqN6bi4ONy4cSPwHa5gnnzySbzxxhtYsGABNmzYgD59+qBq1aoYMmSI+xyOYfP03F+OX/9MnjwZ/fr1w9KlSxEVFYXhw4fjtttuQ/fu3d3ncAyXxEA3CMLCwlCrVi1cuXLF/dqUKVNQrVo1BmIWcQW66enpwe6KLRQWFrr/+5VXXik1CHvwwQfx1ltvFXvtqaeeQseOHUV3zxb03OPQ0FC88sorAeyVfVy+fLnEa926dcNdd93l/jPHsHl67i/Hr/X69u2LWrVquX9/cAyXxEA3CFq3bo3OnTsXey09PR1VqlTBjBkzgtMpm2GgK05pQdiJEyfgcDiwYsWKYq//8MMPuPXWW0s8WqOyMdANjIkTJ8LhcCAnJ4djWADv+wtw/IowevRo1KhRAwUFBRzDGhjoBkHdunXRr1+/Eq83aNAAsiwHoUf24wp069Wrh2rVquH+++/HmDFjSqzHI+NKC8JWrVoFh8OBY8eOFXt97dq1cDgcSExMDGAPK76yAt3atWujZs2auO2229C2bVts37498B20ibfeeguSJAHgGBbB+/4CHL9WKSgoQE5ODjZv3gxJkvD5558D4BjWwkA3CKpXr46RI0eWeL1x48bo1q1bEHpkPxERERg8eDAiIyMRERGBjz76yL1uifxTWhA2d+5cOByOEo8v4+Pj4XA4sGXLlgD2sOLTCnQHDBiA8PBwxMTEYP78+WjevDlq1qyJ/fv3B76TFVxsbCyqVq2KcePGAeAYttrN9xfg+LVKjRo13Bv53n33XfeyBY7h0jHQDQIGusHx0Ucf4bbbbkNWVlawu1KhMdAVTyvQvVl6ejrq16+Pt99+W3ynbCQpKQkNGjRAu3btGCQIUNr9LQ3Hrzk7d+5EbGwsxo0bh7p16+K9994DwDGshYFuEHDpQnC4Ht/wUZl/uHRBPL2BLqA+Hn744YfFdshG0tPT0aRJEzRt2hQZGRnu1zmGraF1f7Vw/PpnxYoVcDgcSEhI4BjWwEA3CFq3bo0uXboUey0jI4Ob0QRzvdl37NgR7K5UaGVtRlu5cmWx18eNG4dbb72VOaINMhroPvLII2I7ZBM5OTlo1aoVGjZsiOTk5GL/j2PYf2XdXy0cv/5JSkqCw+HA/PnzOYY1MNANgrCwMNSuXbtYRoCpU6cyvZhg3bp149IFC5SVXuzmR5CtWrWq1GltzNIb6KalpaFevXp45513xHeqgsvPz8dLL72Eu+++GwcPHiz1HI5h8/Tc35tx/PpvwYIFcDgc2LZtGwCO4dIw0A0CV8GI0NBQREZGYvr06ahTpw4LRlioc+fOCAsLw6pVq7Bq1Sp88MEHcDgcGDBgQLC7ViFlZ2dj8eLFWLx4MR5//HE88sgj7j9funQJADBv3jxUqVIFAwYMQHR0ND7++GNUr14dW7duDXLvKwZf93jv3r144YUXEB4ejqioKMyZMwdNmjRBSEgIDhw4EOzul3vdunWDw+HA6NGjSxQscKVd4hg2z9f95fj1X4cOHTBy5EisXr0aa9euxZAhQ3DnnXfir3/9q/scjuGSGOgGyaFDh9CuXTvUrFkT9erVQ69evSrtYwUR+vbti4ceegghISGoUaMGmjdvjkmTJgW70dAdFAAACxdJREFUWxXWqVOnSi3d6XA4EB0d7T5v2rRpuP/++3HrrbeiadOmlb70pBG+7nFycjI6duyI3/3ud7jllltQp04dvPzyy9i1a1ewu14hSJKkeX9PnTrlPo9j2Bxf95fj13/9+/dHkyZNcPvtt+OOO+5A8+bNMXLkSOTm5hY7j2O4OAa6RERERGRLDHSJiIiIyJYY6BIRERGRLTHQJSIiIiJbYqBLRERERLbEQJeIiIiIbImBLhERERHZEgNdIiIiIrIlBrpEREREZEsMdImIiIjIlhjoEhEREZEtMdAlIr/Nnj0bLVu2RO3atXHHHXegcePG+Pjjj3Ht2jVLf878+fMxY8YM3a/7o2vXrmjevLmlbZY3Vv0dFy1ahE6dOuHee+9FSEgImjdvjhkzZqCoqKjU8xMSEtC2bVuEhISgYcOGCA8P9/kzioqK8Nhjj2Hy5Mnu15KSkvDyyy+jWbNmaNq0KdavX+/+f927d8d7773n99+NiCo2BrpE5JcRI0agatWq6NWrFyIiIrBq1SqEhYXh4YcfRlJSkqU/65VXXkFoaKju1/1x/Phx7Nu3z9I2yxurAt0nn3wSb7zxBhYsWIANGzagT58+qFq1KoYMGVLi3NjYWNx+++3o3bs3oqOj8fHHH6Nq1ao+7/Uvv/yCe+65B9evXwcAFBYWokWLFlizZg0AYO/evWjUqJH7/OPHj+PWW2/FkSNH/P77EVHFxUCXiPxy7733olu3bqX+P60ZPbMCEegWFha6gym7syrQvXz5conXunXrhrvuuqvYazk5OWjYsCH69u3rfq2goAB169bF119/XebPaNOmDf73v/+5/6woCl5++WX3n/Pz83H77bcXu+a5555Dz549Df1diMheGOgSkV9CQkIwYMAAn+dt3rwZ7dq1Q61atVC7dm20atUKmzdvBgBs3boVL730En73u9/h9ttvx6OPPorFixcXu75r165wOBzFjoEDB2q+7hIbG4tnn30WISEhqFOnDrp27Yq0tLRi7TZv3hy//vormjRpgurVq2PNmjUlgkDXnyMjI9G4cWPcfvvtaNOmDY4ePVri7zp+/Hj8/ve/R0hICDp27IjY2Fg4HA4sW7ZM8/7ouQdG+qGnD6UFur7ul14TJ06Ew+FATk5OsT7VqVMHWVlZxc5t3rw53n33Xc22Tp48iSpVqmDHjh3u14YNG4Z+/fq5/7xz50785S9/KdGH3/72t8jPzzfcfyKyBwa6ROSX1q1b4ze/+Q3Cw8Nx8eLFUs+JiYnBLbfcgmeffRaLFi1CREQEBg0ahAULFgBQ19iOGDECq1evxvr169GvXz9UrVoVK1eudLdx/PhxtGnTBo8++iji4uIQFxeHpKQkzdcBNbi+9dZb0aVLFyiKgp9//hmSJKFDhw7udrt27Yq7774b999/P2bPno3169fj9OnTpQa6v/3tb9GiRQssXLgQy5YtgyRJePzxx4v9XZcuXQqHw4Hu3bsjMjISgwYNQqNGjXwGunrugd5+6O3DzX9HPfdLr7feeguSJBV77YknnkDXrl2Rn59f7HjggQfwwQcfaLY1depU3HbbbcUC1jlz5uDvf/87AODatWsIDQ0t8cVgz549cDgcSEhIMNx/IrIHBrpE5Jf9+/fj/vvvd8+mPvjgg+jVqxcuXLjgPuepp55C06ZNUVBQ4LO9wsJC5Ofn4/XXXy/2aBowvnThmWeeQZs2bYq9tn37djgcDmzZsgWAZ6b45mCotEC3atWqxdZ8zpw5Ew6Ho9ha5D//+c/461//WqytL7/80meg662se6CnH3r7cPPfUc/90iM2NhZVq1bFuHHj3K9lZGSgatWqJWbfXcegQYM02/voo4/QokWLYq/l5+fjX//6Fx555BE88sgjmDRpUonr8vPzUa1aNUycOFF334nIXhjoEpHf8vLysGrVKvTs2RMtWrSAw+FAvXr1kJSUhKysLFStWhWjR4/WvP7KlSvo0aMHGjZsiGrVqrmDn4ceeqjYeUYC3ezsbFSrVg3jx48vMYN4xx13YOzYsQDUYK9+/fol2iwt0L15htIVBMbFxQHwBFYTJkwodt6mTZt8Brp674Gvfhjpg/ffUe/98iUpKQkNGjRAu3btUFhY6H5948aNcDgcWLp0KeLj492HK0i/eeba28svv4z27dvr+vk3+81vfqNraQ0R2RMDXSKyXEREBKpVq4bPPvsMSUlJcDgcmD9/vub5L730EurVq4cJEyYgKioK8fHxeO2110oEdEYC3eTkZM3ZQ4fDgS+//BKAGuw1a9asRJtaa3S97d69Gw6HA9HR0QCAlJQUOBwOLFy4sNh5hw8f9hno6r0HvvphpA/ebem9X2VJT09HkyZN0LRpU2RkZBT7f3PmzIHD4UB6enqx10eOHIlbb721xPnenn/+ebz44os+f35pGjRoUGwTGxFVLgx0iUiIxx57DC+88ILPGd3c3FxUrVq1xAzk3//+d78C3aysLFSpUgUDBgwoNoPoOs6ePQtAO/OAmUDX7IyukXvgqx9mZ3T13i8tOTk5aNWqFRo2bIjk5OQS/3/GjBlwOBwlciu3aNECr776aplt//Of/0SrVq3KPEdLSEgIhg8fbupaIqr4GOgSkV+81+K65OTkoG7duvj3v/8NQF2j27x582KPsl3S09PhcDjw008/uV9LTU1FrVq1SgR5r732Womd9WW9/vTTT+P1118vs/9WBrqAuj72+eefL3beF198UWaga+Qe6OmH3j7c3Jae+1Wa/Px8vPTSS7j77rtx8ODBUs+JiooqsRZ6wYIFqF69Ovbs2VNm+wMGDECDBg0M9+vSpUvu5RJEVDkx0CUiv9StWxfvv/8+Fi5ciE2bNmHBggVo1aoVbrnlFmzbtg2AJ+tC27ZtsXjxYqxduxZDhw51Z11o2bIlGjVqhF9++QVLlizBo48+ikaNGpUI8r7++muEhIRg2bJliI+Px7lz58p8fcuWLahRowbefPNNLFu2DFFRUZg1axbefPNNd8BldaC7ZMmSYhkPBg8eDEmS4HA4sGLFCs37qPce6OmH3j7c3Jae+1Wabt26weFwYPTo0e7MF67DlZM4Ly8Pv//97/Hkk09i3bp1GDt2LEJCQjBq1CjNdl0iIyPhcDiQkpLi81xvq1evhsPhKPXLGBFVDgx0icgvP/74Izp06IAGDRqgevXquOuuu/DCCy8gNja22HkxMTFo06YNatasiTvuuAPPPPMMtm7dCgA4cuSIO3erJEn44Ycf0LNnzxJB3sWLF/HKK6+gTp06xfLlar0OADt27EDHjh1xxx13oGbNmnjooYfw3//+150KzepAFwDGjRuHe++9F7fddhvat2+PFStWwOFwYOPGjZr3Ue890NsPPX0orS1f96s0riC6tOPUqVPu87Zv347mzZujRo0aaNy4MebOnavZpre8vDz85je/wfTp03Wd7/Lf//4XrVu3NnQNEdkLA10iIsHGjBmDatWqITU1tVL3wR+fffZZieUYZSkoKMA999yDmTNnCuwVEZV3DHSJiCx06dIlfPbZZ1ixYgXWr1+Pb7/9FiEhIejatWul6oPVkpOTERISggMHDug6f+7cubjvvvtYFY2okmOgS0RkoYyMDHTs2BG//e1vUb16ddx777344osvkJubW6n6IMLChQuxYcMGXefOnTsXMTExgntEROUdA10iIiIisiUGukRERERkSwx0iYiIiMiWGOgSERERkS0x0CUiIiIiW2KgS0RERES2xECXiIiIiGyJgS4RERER2RIDXSIiIiKypf8PG9HHj+c8Z+wAAAAASUVORK5CYII=\" width=\"639.8333142648146\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ff922d8ab00>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jupyter.plot1d(ai.integrate1d(img, 500,unit=\"2th_deg\"))"
   ]
  },
  {
   "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\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
    {
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\" width=\"999.1666368891804\">"
      ],
      "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\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"639.8333142648146\">"
      ],
      "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\"), 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\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
    {
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\" width=\"799.3333095113444\">"
      ],
      "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 0x7ff922cb1780>"
      ]
     },
     "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), 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\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"639.8333142648146\">"
      ],
      "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\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"639.8333142648146\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ff922cfa828>"
      ]
     },
     "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), 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": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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R32HYRFBl6Zp2mITdJVE0DVIBF37u3NMLq6NnYqZLaZ5TXTDBt3X4v0Oo41qMN3Sw2h6TXQ/6juME12apmnLTdBVEkHXIBF07W95ontvoK0LGjK6Ikx05a0LP9/SGWcejNMFdK+JKfT7eqz/4U/TNF0bTNBVEkHXIBF07e+g68U0TnRHJ1gz0fXcuqDXRHcRQZemadpiE3SVRNA1SARd+zvQYTQ9Jrrz2hQir6HNMrohgK7S4TrrbwA0TdNON0FXSQRdg0TQtb8JugRdmqZpe5igqySCrkEi6NrfQQsjNG5duLHhrY4B3afbTwwKuvJ7k6ZpmjbKBF0lEXQNEkHX/tbtMFqACuC8hgJtXdB4GK2mia783qRpmqaNMkFXSQRdg0TQtb99D6Opnuh6HEb7oHe2+zCa1RNdPSqA5a0LdydOq7EAw/obAU3TtFNN0FUSQdcgyaDbKnqoaSAjv+GtBkSn2HeP7qf9h+i6XqyfQ6ILBF2apmmrTdBVEkHXIBF07W/dKoB91os5EXRrii74vkdpmqZpPU3QVRJB1yARdO3vQHt09QRdq6MLRlcAB3uP0jRN03qaoKskgq5BIuja34EOo2nJ6O7LS/WKLghzGM3Eia7n+5SmaZrWywRdJRF0DRJB1/7Wc+uCaBXAMugaXQFc03uVpmma1sMEXSURdA0SQdf+JugSdGmapu1hgq6SCLoGiaBrfytldGuKLpSfWSB0RrfYoGY0gi5N07RVJugqiaBrkKwAXRkgrAZEpzgQ6KpdL+a5R9dq0LU6o+v5XqVpmqb1MEFXSQRdg0TQtb/VTnTtUhhhNejK71eapmlaqwm6SiLoGiSCrv2tW0ZXsImuX3RBp4yuGtCV37M0TdO0FhN0lUTQNUgEXfvbiD26IoCu3hPdcPboKr1naZqmaS0m6CqJoGuQCLr2t1wBLE90P+0/xJmFERZPdOX3LU3TNK3WBF0lEXQNEkHX/mYzmnmgK793aZqmaTUm6CqJoGuQCLr2d62JLmic6GqNLni+d2mapmk1JugqiaBrkAi69jdBl6BL0zRtDxN0lUTQNUgEXfvbKNAVbr2YABldz/cvTdM0Ha4Jukoi6Bokgq79rSfoelYAE3SVry89+hYMipkiwE2DpmnaTiboKomga5CsAl1aP3uC7j+6j9alAljI6ILF68U8r69XdAFGxE/DHZdNF+DGQdM0bRcTdJVE0DVIBF37W14v5viMrkCg2zt6AnIaTMdDraZgVZebBLh50DRN28EEXSURdA0SQdf+ZkbX/OiCDLqPtZ6CTek34L/XZghwA6FpmhbdBF0lEXQNEkHX/nbqRFe0CmDP6+sdPQEj46djXptCbLlyBPbk9sCRqa0FuInQNE2LbIKukgi6Bomga38bVRjhtImuEdGFR1pNQUmv67F3VHeU33OxADcRmqZpkU3QVZJjQLe0tBSTJk1CSkoKIiIikJGREfB5e/fuRV5eHho3box69eohOTkZb731ltdz9u/fjxEjRiAuLg4NGzbE+PHjUVZWFtb1WAm6ksTNC3rYd6KrRwWwCBNdu0QXtlw5Aj+OTkP5zCao/Hs9VG5oLsDNhKZpWkQTdJXkGNBdvXo1EhMTkZOTg3bt2gUE3X379uGyyy7D4MGDsXr1arz33nuYN28eli9f7n7O2bNnkZycjOTkZKxduxYrVqxA8+bNkZWVFdb1EHTtb4IuQZemadoeJugqyTGge/78efd/Z2dnBwTdMWPGoE+fPl7P9dXy5cvhcrnwzTffuB979913IUkStm3bFvL1EHTt71pzGE3D1oWtV19nSHThsdZV0YUfR6fh1L2NULksBhUfJeP0Z1cJcEOhaZoWzQRdJTkGdD0VCHSPHTuGiy66yGt6G0g33XQTUlNTvR67cOECGjVqhFmzZoV8Dczo2t+1BnQ1THSNAt15bQq9QXdFfVRs7Yryrwfh+IFxAtxUaJqmRTJBV0m1BnS3bNkCSZKwYsUK9OnTB5GRkWjatCmKi4tx7tw59/N69uyJG2+80e9zXnXVVRg1alTI10DQtb+N2rrgJNA16jCaPNHdl5fqBt0z21JR/vUglB35I06cekiAGwtN07QoJugqqdaA7vLlyyFJEuLj43H77bdjy5YtmDNnDiIjIzF37lz389q0aYOioiK/z5mVlYVBgwYpvmZZWRn27dvn9vbt20HQtbedCrp6rRf7KT/ZENCV14t5ge7yWC/QLT+zAGfPLxXg5kLTNC2CCbpKqjWg+8orr0CSJOTk5Hg9Pn36dMTHx+PChQsA1IPurFmzIEmSnwm69rVR0QXhDqOpzOjKoGvEHl2/jK7PRLf8zAL39Vl/g6FpmrbaBF0l1RrQffvttyFJEhYvXuz1+FtvvQVJkrB3714A6qMLnOg6z06d6DohuiBPdM9dWIaKc8/jdOUzAtxoaJqmrTJBV0m1BnS///57BALdN9980+vNcdNNNyEtLc3rORcuXEDjxo15GK2W2emH0f51dZawh9Hk9WLBogvy9Z2ufAblZxag7HixADcbmqZpK0zQVVKtAV0A6Ny5M0aOHOn1WFFREZo0aeL+tbxe7H//+5/7sU2bNsFO68VofezEie6gmCm6VwAbtXVB3qNbU3ThdOUzOHn6MZQdnoaTpVkC3HBomqbNNkFXSY4B3fLycqxatQqrVq1Cz5490alTJ/evDx06BKBqeutyuXDbbbdh06ZNmDVrFurUqYMnn3zS/XnkwoiUlBSsW7cOK1euRGJioq0KI2h9TNAl6NI0TdvDBF0lOQZ05WhCIJeUlLif98orr6Bjx46IiopCUlIS5s2b5/e59u3b564ATkhIQEFBga0qgGl97ETQ1TOja9TWhYCFEUEyup6ge+o/GTi7KUmAmw5N07SZJugqyTGgK5oIuva3URXAokx0tWZ0jQRdv8KIGjK6J08/hrKDhTj1nwxUrmuKswujBLjx0DRNm2WCrpIIugaJoGt/O/Ewml2iC34T3TBBt2JePRwpbIs9uT0EuAHRNE0bbYKukgi6Bomga387EXTlwoi1aWN03bpwd+I0XBNTaGgFcCgZXU/QPTyxPXYOGoiSXtcLcBOiaZo20gRdJRF0DRJB1/52akbXE3R/vqVz+KD7ZiPzowuhgO7BQpz6aoAX6O4YkIkNPXLxSKspGNf4VgFuRjRN00aYoKskgq5BIuja304FXc89uqpA1yOj6znRNbQwQqECOGB0Yf2lqHg02g267/TMxZyWRciuPw3dYsYKcEOiaZrW2wRdJRF0DRJB1/5WC7rlZxY4G3R9JrpGVgAHa0YLmtGd7z3RndtyKrLiitA5JhftY0cIcFOiaZrW0wRdJRF0DRJB1/42KqM7v02h5aD7VuqN2Hr1dZomulZXANd0GO2Xye2wY0AmNl6Rgzkti7xAV7b1Nyeapmk9TNBVEkHXIBF07W+nRhf03LpgZAVwTdGFmkD38MT2+GzgYLzT03+i62nrb1A0TdNaTdBVEkHXIBF07W+CLkGXpmnaHiboKomga5AIuva3E0E3YGHEA/WFii6MjNdvvZh8GO3+JGXQlW39jYqmaVqtCbpKIugaJIKu/W0U6IqQ0fWa6IYLuh6H0YzeuqCmAtgTdD/tP8S9dWFYDaDbPpawS9O0XU3QVRJB1yARdO1vGXTvdWgFsNbogu8eXT0LI/RoRvOc6AaLLgSy9TctmqbpcEzQVRJB1yARdO1v360LTgNd93oxldEFz4muUYURWjO6SuvFQvne946eIMDNi6ZpOhQTdJVE0DVIBF37WwbdOS2ds0dXBt2wK4CPzqixAtjyZjSFjG6w9WJKTokZjez603Dv5UUC3MBomqZrMkFXSQRdg0TQtb+deBjNc+uC3hXAekYX/Ca6Kvboqo0udIy9AZ1jcjEifhoeTJqKd3rm4r/XZghwI6NpmlYyQVdJBF2DRNC1v31BV8/oQl5DMQ6jhQy6ASa6vtEFI0D3x9FpODW7YWjRhSBbF8IF3ZSY0RhefxrmtpyKTek3YE9uD5y4synOPFBfgBsaTdO0rwm6SiLoGiSCrv1t5ERXBNBVPdE1cY9uWNEFHSe6KTGjMSJ+Gu5PmoqNV+Rg76juKL/nYpxdUBeVay7Bme09BLix0TRNyyboKomga5AIuvY3QZegS9CladoeJugqiaBrkAi69rd8GO1enUD3wNguwmR030q9UVfQFeIwWhDQDecwmpzRHV6/KqMrRxdO3nUJKubXQ+W6pgRdmqYFM0FXSQRdg0TQtb89J7obeuRqzuj6gm6f6ImWrxdTtUfXhMNoelUAawHd7PrT8FCrKW7QLb/n4irQXXMJKj7sJMCNjaZpWjZBV0kEXYNE0LW/ZdANd71YsOjC+1cNF2K9mCbQVSiMMHSPrgVbF4ZXg+7GK3Lw/Q1XoHxmkyrQXX8pTn01AGU/c88uTdOimKCrJIKuQSLo2t9GgK4IE12RK4D7RE8UBnQ9J7q+oFv+9SCUHZ6Gk6cfQ8W55wW4ydE0XbtN0FUSQdcgEXTt79rQjKYKdAOsF7s7cZqxFcAWgu7GK3Kqogu+E91q0D17fqn7Wqy/2dE0XTtN0FUSQdcgEXTtb0/Q1ZTRXVFfqImu5gpgn4nuU4JHF9RWAA+LK/LO6AaY6JafWeAG3bPnl1a14h27U4CbHk3TtcsEXSURdA0SQdf+ZgVwaIURTzls64L8vfc7jBYq6B6ehvJdQ3D2/Q6QpDo49ofL8d3IdGy5cgSWdBwvwA2RpmnnmaCrJIKuQSLo2t9q9+iGArqjGogBuqomugqH0YSqAH402vjDaAFA193Q9tUAVK6/FBXz66F8ZhPsye2Bzekj8UirKRgZPx09ovMFuDHSNO0cE3SVRNA1SARd+5ugS9Al6NI0bQ8TdJVE0DVIBF3720jQtbowYm3aGGy9+rrQCyMCRBd8CyMMBV2T9+imxIzG8PpVzWh+e3Q3NFcEXTm64AW691yMvaO6Y8uVI3B/0lQMrz8NKTGj3a9n/Q2Spmn7m6CrJIKuQSLo2t9Gge5CCw+jyRXAekx0jWxG8yuMMPEwmm8F8Kb0G7wrgINMdH1B9+yCuii/52Lsye2BTek34JFWUzAiflrA67D+RknTtH1N0FUSQdcgEXTtb98K4E/7D8HBgk4483CsbZvR5Imu19YFASuAvdaLzW5o6nox+XsfqAI4LNDd0LwKdGc2wd5R3bEp/QY81GqK30TX988gLfomAW6aNE3bywRdJRF0DRJB1/42ogJYbkbLa2j9Hl13YYTGCmC914uNCgS6GqMLWgsjvKIL4U50PUD3wQDRBd/3XFZcEQovuRUL204W4OZJ07Q9TNBVEkHXIBF07e+gzWirm9i2AvhutRXA32YrrhcT7jDavHr4ZXI73Q6jKRVGhAq6ntGF4fUDRxfk99ywuCJM/d2teKnzLdgxIBMHbk4R4CZK07TYJugqyRGgW1paikmTJiElJQURERHIyMgI+vy33noLkiSha9eufh87duwYCgoK0LBhQ8TFxWHkyJE4cOBA2NdE0LW/lUC3puiCyIfRAk50Q83oKoCunofRRKsAftDnMNrZBXVRuaF5jXt0fTO6e0d1x+b0kSFNdD1B97OBg/HL5HaomFcPlaub4Ozm1gLcUGmaFs8EXSU5AnRXr16NxMRE5OTkoF27dkFB99SpU2jZsiV+97vfBQTdzMxMNG/eHCtXrsSaNWuQnJyMrl27orKyMqxrIuja376H0ZSiCydOPeQ/0T3yRy/QPTW7oRCg65vR1SO6oGdGVwZdPTO6apvRAhVGhHsYzXO9mGd0IZyJ7i+T27knyRUfJePEnly2r9E07WOCrpIcAbrnz593/3d2dnZQ0C0uLsbVV1+N/Px8P9D9+OOPIUkSNm7c6H7sm2++gcvlwsqVK8O6JoKu/e050ZUzuocnttetAtjqia6oFcAj430muiYfRguU0d07qrsq0PXduhAK6GbXn4apv7sVSzsVeE901zV1g+7xE7O93nPW32RpmrbWBF0lOckrftsAACAASURBVAJ0PRUMdL/99lvExMRg586dAUG3uLgYjRo1woULF7weT01NRX5+fljXQdC1vwm6BF2CLk3T9jBBV0m1CnSzsrJQWFgIAAFBNycnB7179/b7fXl5eUhPTw/rOgi69re8Xswzo3t4Yvsq6Ag1o7stVUjQlffohpzRDVIY8ZTO68VGxuu7Rzfcwgj5ey+D7ub0kaoPo/lGF2paLxY0o+sBumXHi/3ec8dPzkXZzxMEuOHSNG2+CbpKqjWgu3btWjRs2BCHDx8GEBh0Bw4ciKysLL/fW1RUhLZt2wZ93bKyMuzbt8/t7du3g6Brb8ugG25hhFdGd1uq0IfRQp7oBgBdO1UAh9uM1jkmFyPitWd0fSe6D4W5deGzgYOr/nHlk9H1nOjKr3v8xGwc33eT+z1n/Y2XpmnzTNBVUq0A3dOnT6NVq1Z44okn3I/pDbqzZs2CJEl+Juja156H0f7RfbT6ZjSPia7V68U8D6PpVQH8dPuJwlcAq2lG8y2MUNOMJlcA78ntEfbWhaWdCn47jDYvNNA9sXcMKrZ2ReXyWJy6txH239gNXw3tJ8BNmKZpY03QVVKtAN0HHngAbdq0weHDh/Hrr7/i119/xZgxY5CcnIxff/0VFRUVALRFFzjRdZ7VFkbUtF5sfptCIZrRwpromtSM5rt1war1Yr6gq1cFsJqJbk0ZXSXQlYsqvsgcgFdT8vHnS6um7tbfkGma1t8EXSXVCtDNz89HoGmr7BdffBFA1WG0xo0b+33OtLQ0HkarhQ4KuioKIzyb0UQAXdXrxRxeAexZGKF1oqsEumFndOcrZ3RrAt3PB1+D5cn5uLXpregVXeD1PbL+5kzTtD4m6CqpVoDu119/jZKSEi9nZmaidevWKCkpwU8//QTgt/Vi7733nvv37tq1i+vFaql9ty54FUZoAF0rJ7q+WxdErAD2A10Logu6VgAH2LqgCnQVogvuw2ieoLssBuUzm+DH0Wn4InMAlifn44/N/EG3c0wuBsdMwZ+aTRfgRk3TtHoTdJXkCNAtLy/HqlWrsGrVKvTs2ROdOnVy//rQoUMBf0+gjC5QVRiRmJiI1157DWvXrkVKSgoLI2qpA4HuwYJO4a8X8wBdz8NoVoGuqgrgozOsrQBWAbp6VQBrPowWYOtC2NGF+eqjC/JEVwl0s+KK3JtFSrOvwuGJ7XF8RnMBbtw0TYdugq6SHAG633//PZRiCSUlJQF/jxLoyhXACQkJiIuLw4gRI7B///6wr4mga3/7QoDqw2gBti7kNbRu64Iq0K2hAlgv0BWtAth3omtZdEFDRjdYdMHzPb6hRy6+G5mOE3c2db/Hz+xIF+AGTtN0zSboKskRoCuiCLr2N0GXoEvQJejStD1M0FUSQdcgEXTtb8/owvruo0LeuuC1R7cadE/NbijEHl3fw2ghrxcLktE18jCaHuvFNvTQCXR1iC7oldEN5TDaqXsb4cfRaTWCrmc8xw261WB96j8Z7vf42fNLBbiZ0zQd2ARdJRF0DRJB1/72LYwItQI42B5dq0FX00TXggpg92E0E5vRdM/oWrxeLNSM7oYeudg94srfJroBQNfzPWH9jZ2m6d9M0FUSQdcgEXTt70Cg6znR9YQAxcNoglYAe010Ve7R9QRdQ9eLWQy67gpgtYUR1RPdzekjLYsuLEsepyq6QNClabuYoKskgq5BIuja34oVwPPqqdq64DTQ9dyj67QKYLkwQpiJrg5bF0KJLrgnugrRBfnP3PqbOk3T3iboKomga5AIuva3IujqcBhNlIyunoUReoGuZ3RBa0b30/5DNDWj6XIYLcB6sbArgFWCbqgZXbkUxSu6EGSiK7/Hj++7SYAbPE3TBF1lEXQNEkHX/vaEgHAOowUDXasLIwIeRhOoAli3ia5OoGtUM5qqia5CYYSeE12v6EKQiW75mQXuA5eV77bA2cVROPNA/RpvxvLrWg8FNO00E3SVRNA1SARd+9tzoutXAWzT6MI1MYW6HUYzrQLY5PVi8vde5ApgPTO6waILnu/xgKD79aAq0H0qCqfubYR9eal4/6rhWNh2stdNuKY/b+shgabtboKukgi6Bomga3/7rhcLNbpQUwWwKM1oW6++TpetC6aAbrjRBZ+MrqXRhQAVwMJndEOJLniC7sIonJrdED+OTkNJr+vxWOspyGkwXRHog9l6YKBpO5qgqySCrkEi6NrfNW1d0DLRtaowwneiq3WPrhEZXb0qgEUEXVscRvtLs/BBt3qiqwfo+tp6gKBpO5igqySCrkEi6NrfBF2CLkGXoEvT9jBBV0kEXYNE0LW/5R2j4WZ0Ra4A1nPrgmczml6FEb4VwFZkdD336AqT0TVwj26w6EJYGd3ZDbEvL9UNuiPj9QFdX1sPFDQtogm6SiLoGiSCrv3tu3pJa0ZXNNBVndE1EHR7R0/AKAEqgANuXdBhj66mCmAP0A2lAjjUZjTP93hNFcBBM7rVE90tV47QdaJbk60HDJoWwQRdJRF0DRJB1/72PYzmhOiCb2GEVtD1LIxwUgVwrY4uhLNeLADo6h1dCMU9o8dhWHXD2+tdxwoAHTRttgm6SiLoGiSCrv2t29YFh1YAH7g5xT3RNWrrwr68VJya3dCy6IKVhRFWgG6oFcBKoGtGdCGQ06NvcU/gN16Rg+9vuAIn77oElUvrCgAgNG2GCbpKIugaJIKu/e1bGKFndMFq0F2bNkb9YTSF6IKeh9H8ogsaQFdLdMHOE91T9zYKO6OrKrqwobkf6M5rU2jqRFcGXd/vV+WyGFR8lOz+fslfh/VQQtN6m6CrJIKuQSLo2t9qm9FEji4YeRhNxApgIbYuBJjohgK6fhXAJjSjeRVGqJjoWhFd6Bh7g9dE1w90t3YN+P2qOPe8++s4WZolAKjQtBYTdJVE0DVIBF372yjQlSuARQBdLRPd2lgBLAOnlsNo2QJndL0muioKIzyjC1ZMdB8JNNFVAN3Tlc8E/H4dmdoaXw7pj0/7DxEAXmg6VBN0lUTQNUgEXfvb90S60yqAt159nebogudhNCOiCz+OTrN/RteA6EK4WxeCRReyqg9xvdPTJ6Or4jCaldGFEfHhTXQDgW7F/Ho4UtgWnw0c7P5+5TSYjkkX34qn208UAGZoWskEXSURdA0SQdf+JugSdAm6BF2CLm0PE3SVRNA1SARd+1vvw2gHxnaxPLqger3Y0RmmrRcToTBCKbqg1x5dw6MLy2LCii7MbTk1YGFEuM1oVkYXstVmdAOA7s5BA93fr5wG070y09+NTHdvdDi7ubUAgEPTdUDQVRZB1yARdO1v3wpgJ2xd8C2McHpGV4jDaFaAbhgZXXmiqwfoWrVHVw3oKmZ0fUB3ZPx0r++H5+qys5uSBAAcmq4Dgq6yCLoGiaBrfxsZXXBKYYQRzWgiRReMqgAOBrrZ9afpDrpqK4DDAt3ZDb1A1+w9unqAbk0TXRl0T9zZFGcXRgkANzQtm6CrJIKuQSLo2t9O3KOrZwWwZ2GEEaC75coRvxVGWFABHAicRKkADnePbtgVwCoLI4Sc6Hrs0VUDuvJE1zO6cOLOplUT3fc7hAUjB8Z2wReZA7A8OR+3XzYdhZfcKgAg0c4wQVdJBF2DRNC1v42MLth6ovtmI8Mzuo+1noL3rxqu2x7dcCuA9ZroVsyvJ8RhtJpAV/NEV1TQ/Xs9zRPdQKB78q5Lqj63z/dD/tyBQOT0nAQcKWzrnrD/+dLpmH15EZZ0HO/+2XLm4VhUvp4gADTR9jNBV0kEXYNE0LW/nTjR9QRd1RPdAKBrVEbX6uiC1oyuUaBreGGEDqDrtOjCCx3HK4Ku/P3wPOgmfz/ObEv12tHrCbpzWlaBbqBY1InvRnj9g0YJoGm6ygRdJRF0DRJB1/42CnRF2rqg13qxuxOnCVsBLNJ6MTMPo6mpAPZqRlOxXkyUie73N1yhG+iOjK+KGASb6AYD3YqtXatqkoOAbqCfLYFAt/zMApQdnYHj+25y/2ypmF9PAMiirTdBV0kEXYNE0LW/faMLoR5Gk29GIkYX9GxGM3KPrtVbF3Q9jOZRASzi1gW7VwC3j/UG3Y1X5Bh2GG3HgMzfti4EiS6EArp/auYfXQgJdI/8sQp0t6WickV9r0a6lV1uxpyWRViWPE4A8KIJumLINNA9f/48/v3vf+Ppp5/Gvffei7/+9a94+OGHsXr1ahw6dMisyzBNBF37m6BL0CXoEnQJurQ9TNBVkuGgW1paittuuw2XXHIJXC4XIiMj0aRJE1x22WWIjY2Fy+VCREQEMjIy8PLLL+P8+fNGX5IpIuja30ZEF96/arjlWxfu1nG9mBHRhVECFEYoRRcq5tezJrowr+p1jV4v5t66YGPQ1TujG8phNLXRBRl0t2VcqyvoruxyM74c0h+/Tk/C2aei3H9/TuwdIwCQ0QRdc2Uo6BYUFKBu3boYMGAAFi9ejM8//xznzp3zes7hw4fx9ttv49Zbb8Wll16Ktm3b4sMPPzTyskwRQdf+Vrt1wS4TXa3rxYw4jNYneqI/6Dpsj262BRPdsEFX5WE0OzWjqQXdQBNdLaD7XIcJuk90V3a5GV8N7ecNutt74Pi+m3D85FxUnHve/d45XfkMyo4X4/gBToHtbYKukgwF3cLCQuzevTvk558/fx6vvPIKli9fbuBVmSOCrv3txK0LeoOu0YUR7j26goCuZRNdG25dIOiGPtEVAXRPfDcCZ9/vgMoX6uLEX5rh0IQO+LT/EMYgbGOCrpJ4GM0gEXTtb6eDrtaMrpEVwFaDrtMqgINNdFkB7BzQfTUlXzm6ECboHizohG0Z12JppwK8mpKPLzIH4MDYLgIAHU3QDU+OAN3S0lJMmjQJKSkp7ryvp8rKyjBr1iz07NkTDRo0wCWXXIJhw4bhyy+/9Ptcx44dQ0FBARo2bIi4uDiMHDkSBw4cCPuaCLr2ty/o6lkBLAroatmjK4PuUw6rAJa/90YURoQDunLlrG1A1wO45rUpFGePbhjNaGcX1DUFdJcn5xtyGM0TdLVOdA8WdML2fkPdoPvZwMECwBxN0A1fhoLu5s2bkZSUhPr166NXr1548803DXmd1atXIzExETk5OWjXrp0f6P7nP/9B06ZNcffdd+Pdd9/FmjVr0LdvX8TGxuKbb77xem5mZiaaN2+OlStXYs2aNUhOTkbXrl1RWVkZ1jURdO1vp0909YouGAm6ekx01VQAd47JNbQC2PBmtGUxfhXAtTa6YEAFsB4TXTuBrpr4wonvRqDiw06oXFoXJ+5sisMT2+OzgYOxqstNAkChE03QVZKhoNu1a1d88cUXOHfuHHbs2IF+/frh2Wef1f11PDc1ZGdn+4HuyZMnUV5e7vXYiRMn0KhRI/zxj390P/bxxx9DkiRs3LjR/dg333wDl8uFlStXhnVNBF3728gKYLuC7unPrjKtAthrvZhDKoAfTJqqy2E0NRXAtRJ0DagA1iu6YDTo6h1d+HzwNTgytXXV34FlMUGhq+zYnTixJ9cPdD/tPwSvpuT/Vu89u2HV9b3bourv9uFpAgCjXU3QVZLhoOupEydOIDk52ciXDAi6SrriiiuQm5vr/nVxcTEaNWqECxcueD0vNTUV+fn5YV0HQdf+diLoaqoA/jbbmgpgk9eLyd97q6MLlh9G09iMJkx0QdD1YnYAXc/owheZA3B0WiucXRjl/ofnib1jvD6f++fF8WJF0F3Z5ebAoLtrSNXPTY+/22fPL/3t7/ZXAwSASZFN0FWSoaD7+9//3ms6CgCdO3c28iVDBt1ff/0VMTExmDVrlvuxnJwc9O7d2++5eXl5SE9PD+s6CLr2N0GXoEvQJegSdAm69jBBV0mGgu6+ffuQmpqK7OxsFBcXY8SIERg7dqyRLxky6E6cOBFxcXHYv3+/+7GBAwciKyvL77lFRUVo27Zt0M9XVlaGffv2ub19+3aCrs2td0b3wNguloOuLofRDNyjqwi6GqMLouzRNRN0PTO6oe7R9WpGCwd0A2xdcBLoFl5Se0H3hY7jFUHX9/PJf66BQFdeV1YT6Hr+7PEE3dOf90HlmktQ8Wg0TvylGb4d3gsbr8jBP/v8Hvtv7CYAaFptgq6SDN+6cOHCBaxfvx4PPvggli1b5lcYobdCAd0XXngBkiRh6dKlXo9rAd1Zs2ZBkiQ/E3Tta6MOo81vUygE6Ko+jGZCRleEZjSrD6OZtXVBlwpggdaLhVoBXHHueWEzuqf+kxEW6Mp/7nqC7qEJHWqc6IYDuqFOdGsC3TMPx3qB7kd9h+HA2C44PTceZxdH4eymJJwszfL7XNaDKEHXKjlivZinagLdt99+G5GRkSguLvb7mJboAie6zrMR0QURKoCNAF09K4BFmugKVQFsZjMaK4DtcxjNo5HOiMNoek10PUH3g97ZYUcXQgHdymeicHZz64Cge/b8Upw49RDKfp7gPlRbMb+eAIBK0DVahoLus88+i7Nnz4b1e/773/+ipKRE9WsGA92tW7ciJiYG48ePD/jx4uJiNG7c2O/xtLQ0HkarhTZyvZhQFcAP1BcmutAneqLuE12168WMii5YsXUh7IkuK4BNA109K4D1Xi9mBOgqbl3QYaIbLuieXRgVEkS2jx0hAMgSdNXKUNDt3r07LrvsMvz1r3/Fp59+6rUGzFMHDx7E0qVLkZmZibi4OKxatUr1ayqB7ldffYVGjRrhuuuuU9yJK68Xe++999yP7dq1i+vFaqmdeBjtmphC3G23CmCLogtGVQCHC7qHJ7YPP7qwLIbrxWwCuiJndNWC7vETs8UH3XVNQ4bcUO4VBF1xZXh04fXXX0dGRgYiIiIQExODtLQ0DB48GMOGDUPfvn3RvHlzREREoEmTJrjtttu8DoeFqvLycqxatQqrVq1Cz5490alTJ/evDx06hIMHD6J58+a47LLLsHnzZmzdutXtr776yutzZWZmIjExEa+99hrWrl2LlJQUFkbUUhsx0RUyuhDKRPfoDEsqgK1oRhMlo2tWBTBBN3TQ/Wzg4FpXAaznYbTt/YaKAbqf90Hl6ia6gW6XmDyMajAd89sUYlWXm/DV0H449ofL3V+bORsjCLpKMi2j+/333+O5557D5MmT8fvf/x6DBw/G6NGjMWvWLGzcuDHsiIPv5w50EEySJJSUlKCkpETx477TX7kCOCEhAXFxcRgxYoQq+Cbo2t9GTXStPoymeaJrQgWwHF2wYqIrf+/9Jrozm9Sew2gaQXdem0JxQFenZrSXOt9S67YuhAS6J2aHtXVBCNCVi28ejMPxGc01QW772CrQHZ0QAHSrD8eV7xqC4wfG+f3Zy1/bie9G4My2VIKuQXLcYTRRRNC1v51aAax3dEH0CmC1zWhWT3SDgW64FcC1eqJrgwrgT/sPsSXoBtqj6/n5zADdf/b5vSbQPXFn4AhDOO8/taArX8/Jb7Or/uyfj8Lx2y/Ft8N74YvMAd7/9+DDTgRdlSLoGiSCrv1N0CXoEnQJugRdgm5NJuiKLYKuQSLo2t9OPYymZeuC+wZh8B5dv8NoGteLWQW6gZrRasvWBScVRtTWZrRtGdfqvkdXpOiC0nqxcN9/ihldPUG3+r1G0A1fBF2DRNC1v50KuqonunIFsBXNaCauF5O/90aBbigT3cJLrNmjq2cFsDATXYFBd05L+4JuxdauoYHuC4JmdD0Oo5VmX4WNV+S4fx3uzzFTJrofJeNkaRZBV4UIugaJoGt/O70CWOT1YlY2o8nfe7kwYnP6SOH26JrSjMYK4Fq/XsyICmBhQHdD1SG0I4Vt8b/f98aa1DzVxTeMLogt00D3xx9/NOulhBBB1/7m1oXQti6YMtG1aXTBtlsXdKgAFh10Q6kAvr8WVwDrvXVBqOjC530gSXVQPrMJyv6U6AW6an6OpcSM1hV0d4+40g90z25uDUmqE/C9Jkl1sOvjoQRdBZkGuo0aNcJrr71m1stZLoKu/V1rKoDDbUZTyOjqWQHstUdXI+hu6KEOdG1dAexTGGFFBbAQoPv3eqZMdGUgrZUVwBavF9N0GO2B+jg+o7nmiW7nmFxkxRVhbsup7veJ+x+oG5prn+gurQtJqoOynyco/qNq1yfZBF0FmQa6t99+O+rUqYObb74Zx48fV3zeoUOH8O6775p1WYaJoGt/GznRtbICWMtE9/RnVwXcumBoYYRFFcDZAUDXssNoVmR0VYLulitHiAO6GqILG6/IqfXRBU2FET5bF4Sa6Prs0ZVBV+0/2D1jbs91mIBtGdfi51s6V13Ta/Fhga78tXmB7nNVVcXyPywIuuHJ1IxuSUkJWrRogaSkJHz00UcBn/PCCy+gbt26Zl6WISLo2t+6ge6K+gEPo/WJnmg70PVtRvuo7zA83X6io7YuyN97IyqAH2o1RX0F8PpLbQG6TjiM9tnAwYaDbm1rRrMD6Kr9B7sn6C7pON4bdNc11TzRlXO4wd5rBF1lmX4Y7dixYxgzZgwiIyNxzz334Pvvv8e6devwt7/9DSNHjkRUVBT69Olj9mXpLoKu/e3UCmA/0A01uqCwdcHIPbp6ZXR1aUazoALY63+B2mSi63TQ1WvrQm0DXeEOo/mA7lupN2qOLsgT3X9dnYWf8pNxek5CeBndF+r6ga7c3HZmew+CrkqZCrrbtm3D4sWLUVhYiPj4eLhcLkRERCAyMhLt27dHTk4OHnjgAfz0009mXpYhIuja3wRdgi5Bl6BL0CXohvLzgqArrkwD3YKCAkRERCAhIQF9+/bFtGnT8Mwzz6B3796IjY3Fs88+a9almCKCrv1da7YuqDyM5rl1wXDQ1ZjR1WXrwswmtWfrgkbQndemUJyMrg2a0ewAup8PvsYxGV33z7EA0QW1oDvM4zCau+luXj3NoHtkatW2hZreawRdZZkGunFxcfjzn/+MCxcueD1+/vx53HfffbjoooswfPhwHDlyxKxLMlQEXfubhRE179E1YqI7Ml7/ia6ajK5R68VCzehqrQC2eqIrDOiqXC9m5mE0VgBbVwF8fEZz7BrWV5etC3NaFuGF6n+4HCzopHmPrvsfVdX/YCPoqpOpWxf+97//KX5827ZtaNOmDZo1a4Z33nnHrMsyTARd+9upoKu5AjhAYYThWxd0WC92bezUkEE3JWa0IYfRVIOujbYuCAe6Kia6ZkQX7DbRdeRhtIdjdQPd7PrTcH+S90SXoCuGhGpGKy8vx/jx4xEREWH1pWgWQdf+VgLdMw/HOiu6UD3RPbMjPeyMrrxerFZEFyyqAD5S2NZ20QUrQXfjFTm2WS9mhwpgvdaLiTzR1ZrR9fyH8cvVf2+PTmulewUwQVedhAJdWW+99ZbVl6BZBF37W++J7oGxXbwOo1m1XkxzYYTPejGjMrpbrhyheaL7af8h7j264Ux0lUA33Imubnt0RQddkZvRVGZ0OdG16WG0TUlhga5vM5pa0B0ZPx2PtJqC5clVeeZwmtHcf/YBQNddfELQVS0hQdcJIuja376gGyhH56SJrppmNCMKI6zO6ApZAWyj6IJdCiPUVgCbAbqGVAAHANNQQHdppwJ7RRfCAd0H6utSAey5peXlzrdg56CBmkDXswKYoKtdBF2DRNC1vz1B9x/dR+u+dcG2E12PrQtCTXQPT9Mto6vUjKZqojuziW0qgPWc6AqxXqwaEFgBbP1E1yjQ1aMCWI+Mrvz36IWO47Fz0EAcmdq66s+q+mtTBN2DhX7RBU/QZXRBuwi6Bomga3/XmoyuxsNoom9dCDejK3/vdZvoqgRdTRNdC7cuOGGiy8NoVaC7vd9QW2V0zy7W3oymRwWw++9t9fdTc0Z3ad2q99reMQRdFSLoGiSCrv0dNKO7uonmwghhKoDDKIzwnIQIN9GtIbpgRUZXjwpgd0ZXYwXwdIIuty6YCbomZXT9QDfMjK4RFcBeoLuhuWrQ3TuqOye6Osh00N26dSueeOIJ3H777e5vyL///W8cPnzY7EsxVARd+5ugS9Al6BJ0CboE3VB+XhB0xZVpoPvrr79i6NChcLlcaNCgASIiIrBjxw4AQF5eHv7whz+YdSmmiKBrf8uge68H6B4s6KQqunBqdkM36No2uuCzXsxo0NVjvZjn1gU7VgDbZuuCQOvFjAZdrevFdg4aKDzoHr/9Uu3NaGaD7pwESyuA5XvFko7jsWNAJg5PbI8zD8cGPYx28vRjfs1o8tf2ReYA7MntgRN3NiXoapRpoDtu3Di0bNkSn3zyCSorK+Fyudyg+9JLL6Fjx45mXYopIuja34FA1wmH0YKB7vED44RZL6Yn6Fo10dWyXuxlgm7I7hk9zuv75T6trqEwwsqtC1aDrhF7dA3fuqARdPVqRpO3LvwyuR3OLqgbHuh6THS/HNKfh9F0kmmg27BhQ7z66qsAgHPnznmBbklJCWJjY826FFNE0LW/jTyMNqqBc0B3YdvJuKv5dFU3CN/rE2G9mPy9t3K9WOElv4GV3UDXCdEFVgALWgG8uom+h9EM2Lrg+X9itBRGEHT1k2mgGxsbi7fffhuAP+iuXr0aCQkJZl2KKSLo2t9GgK4IGd3ixGl4K/VG3QojjGpG0yujq2brgl4VwFomunbdumD1RNevGY0VwI6e6OoBunpMdOV1hF4TXTajCSHTQLd///7IyckB4A+6eXl5yMrKMutSTBFB1/5W2qOrFXRFzejWWAFsEuhavV7M6MKIUEDXzhXAVk909agANjKj64gKYIUCCsMnuoJWAMt/bx9qNQXLksfh88HXVP3ZE3SFkGmg++GHH6Ju3bro378/nnrqKURERODee+/F6NGjER0djU8//dSsSzFFBF37O2hGtzZuXTApoyuDrlUVwL6guzl9pO4TXSUAlLN+Zk90Z19u74kuK4AFnOgacRjNJ7rwTs9c/4yuxq0LWia6j7We4v6z0qsCmKCrXaauF/vnP/+JPn36IDIyEi6XixkLbQAAIABJREFUCxEREejduzc+/vhjMy/DFBF07W/Pie6GHrnurQtqDqPJWxc+6J2NeYJMdP91dVbooHt0hh/o2qUCWM/CCD1Ad3gNoDssrghF1VsX3BldG1UAl/S6Ho+0sgZ079d560Kgw2hGZHS1gq6RFcBCgW4oWxfCrADWa72Y70RXL9BlBbB2WVIYcerUKezfvx/l5eVWvLwpIuja30rrxbSCrghbF8LO6PqA7um58V7Rhb+KkNENUAEsxNYFn2a0UKILRVrXiwmQ0bWiAtgPdINUAAdrRgtWARxoomtpBbCoE12Togvuia7FFcBZcUW4P2kqXup8y2+r2Dy+tnAqgEuzr+JEV0exGc0gEXTtb4IuQZegS9Al6BJ0Q/l5QdAVV4aCbrdu3ZCamhqS09LSjLwU00XQtb/1LIw4PScB+/JSxV0v9npCWBnd03PjvaILeoKuntEFT9C143oxO25dcNJhNN326K6/FGcXRtkOdDU1o5kAuu/0zNW2dUHnPbpzW07F0k4F+HzwNV6HSMM9jOYHukvrVr3X9o4h6KqQoaCbn5+PcePGhWwniaBrf3uCrrx1QRXorqjvdxjNStBVWi/m3rrgc4PwA12FCuB+GjPHRhxGs3MFsNce3XnaK4ANBd2nqkB3X16q5aBbGyuAQ8roqgTdpZ0KdMnoGl4YYXEF8DAP0N05aOBvoFvTRDfI1oU9uT040dVBjC4YJIKu/W0U6IoQXfCa6D4Y5wZdq5vRekUXGHIYTa8KYK2gG8phtOz609wVwKoPowWY6E4Pd+vCuqa2nOiGunUhnOiCZ4GHiKBrZAWwDLphVwCbvV7M4gpguRnN9//EaKkAZnRBHzkCdEtLSzFp0iSkpKQgIiICGRkZAZ+3ZMkStG3bFnXr1kWXLl2wbt06v+ccO3YMBQUFaNiwIeLi4jBy5EgcOHAg7Gsi6NrfgUBX1R7dAKArXHRBJej+s8/vscigrQtaJ7ryjdXyjG6Ye3Rl0DWzAljP9WJWgK6eFcC/TG7nBt37aynoCpvRDdaMxgpggq6CTAPdNWvWKHrdunX44IMPcPToUVWfe/Xq1UhMTEROTg7atWsXEHRfffVVuFwu3HPPPdiyZQsmT56MyMhIbN261et5mZmZaN68OVauXIk1a9YgOTkZXbt2RWVlZVjXRNC1v40CXaujC3qCrpGFEV6gW70eSUtG126g6zXR9QFdTwASIrogCOjer0NGVwZdz4yu0KBbHRmpjaCrOaOrYzOafBhNBt0jhW1rXC8WDHQ50dVPpoGuvDc3IiICLpfLbc/HLrroIhQUFKCioiKsz33+/Hn3f2dnZwcE3Xbt2iEvL8/rsV69emHo0KHuX3/88ceQJAkbN250P/bNN9/A5XJh5cqVYV0TQdf+1q0ZzQN0S3pdL2xhhCigq2cFsB6g6wlOZlUAe4KVWXt013cfZdvCCN8KYN/9o6JndD/tP0QT6BqV0dVzj66ZFcBKn8tI0B1eXQG8LHlcyKDLZjRzZBro/vOf/0RSUhJmzJiBDz/8ELt27cKHH36IP/3pT2jZsiXWrVuHxx9/HLGxsbj99ttVv04g0N29ezckScKaNWu8Hl+wYAGioqJw5swZAEBxcTEaNWqECxcueD0vNTUV+fn5YV0HQdf+9gXdbRnX6hZdsAp0+0dPrlUVwDLozr7cWtDdO6q7atDVswI4PfoWR4Ku4taFv9fT5TCa5/fDtoURKkHX7zDagrru/8NyYu8YITO6IYOuQRXAOwcNZAWwQDINdLOysjBnzpyAH5szZw4yMzPd/52YmKj6dQKB7vr16yFJEkpLS70e37hxIyRJwtdffw0AyMnJQe/evf0+Z15eHtLT08O6DoKu/d05JheDY6ZgdvV6MS2gK+/RdSroipjRtWt0IeB6MYMzunYHXd+Jbih7dNWCrnDRBYMzusG2LogCuvtv7ObVjKYGdK2sAPY8jEbQ1V+mgW5sbCw2bdoU8GMbN25ETEwMAGDz5s2IiopS/TqBQHfZsmWQJAmHDx/2enz79u2QJAkfffQRAGDgwIHIysry+5xFRUVo27Zt0NctKyvDvn373JY/N0HXviboEnQJugRdgi5BN9SfFwRdMWUa6CYmJmLq1KkBP1ZYWOie4q5duxaXXHKJ6texCnRnzZoFSZL8TNC1r/UsjBARdP91dVbooOvTjHbmgfruwoiFbScbfxgtHNBdc4muhRGe4BRuYYQS6AZbL6a4R9dGoPtIK0YXTMvohhpdCJCpDRV0V3a52Rt0RY4uhAO6OmZ0PaMLnw++JizQ9V3t5lkY4fkPNoKuOpkGugsXLoTL5cLQoUOxaNEirFq1CosWLUJmZiZcLheefPJJAMBtt92Ga6+9VvXrWBVd4ETXeXY66IY10Q1SAbyw7WRHVwDrfRhtWBDg9gVdTnRDs9GH0TjRrZpSHpnaWtw9uh4VwFZNdGXQ/XJI/9BBN0AFMCe6+srUPbpvvvkmevbsicjISLhcLkRGRqJnz55488033c85fPgwysrKVL9GsMNoa9eu9Xr8iSeeQFRUlHvLQ3FxMRo3buz3OdPS0ngYrRa6Vq0Xez1BuMNomqILj0b7HUbTowJYj8IIPaILateLOfUwWtDogg4VwJpBt/q94Am6f75U/K0LmiqAfbYumFkBbAXoem5d+GpoP3XRBaUKYIKuJllSGHHu3Dn8/PPPOHfunO6fO9h6sbFjx3o91rt374Drxd577z33Y7t27eJ6sVpqI0BXXi9mNeh6VQB7NKOFC7pyYYSoFcBWZ3TVgK68R9fM6ILdCyPSo2/BsLgif9DVqQJY6ImuwaAregWwH+halNE1AnRZAayPHNGMVl5ejlWrVmHVqlXo2bMnOnXq5P71oUOHAADLly+Hy+XCzJkzUVJSgsLCQkRGRuLjjz/2+lyZmZlITEzEa6+9hrVr1yIlJYWFEbXUTp/oftR3mGbQNaoC+JFW+oCulgpgPUH3+xuuCLkCeDgrgMO2Z2FEOBXA7siLQgWwLQojqqMLW64c4fwK4GCFERrXi+kBug8mTcXy5PyQQTdQYcSJO5syuqCzTAfd/fv3Y9u2bXj//ff9rFbff/99wINgkiShpKTE/bwlS5agTZs2iIqKQkpKStAK4ISEBMTFxWHEiBHYv39/2NdE0LW/nQ66IlYA94ouwIj4aXiklfY9uqJVAMsTwpomusPrT0NRdQWwpaBro4mumgpgp4GunhPdQKBrVjOa599traB78vRjpk90V3a5WRPolt9zMSuAdZZpoFtaWor09PSA7WhyQ5qTRNC1v50Mul7RBcGa0ZwUXdBSAWz21gW9QFeojK6A0YWdgwbaqhlNqOiCD+jWFF2QpDrBQVfnZrTHWk/Bqi43aQJdSarDjK7OMg10MzIy0LJlS7z00kv45JNPsHPnTj87SQRd+9uICmCngK7n1oWn2k3SdeuCEaBrdTOa5gpgkbcubGguLujqdBjNiApgOxxG0xN0rTiM5nldRoPuiPhpmN+mMCzQDZTRJejqL9NANy4uzq+C18ki6NrfBF2CLkGXoEvQJeiG8vOCoCuuTAPd5ORkvP7662a9nOUi6NrfnqAr79HVA3RtuUfX5tEFraArZz7N3qOrN+iasV7Mqq0LitEF7tG1BnStLow48seaQVfnPbqaQfeFugRdA2Qa6G7cuBFpaWn49ttvzXpJS0XQtb/lCuB7tYKuT2HEvGrQvVrjOq5wrQS6p+fGa87oGl4BXN3EZEVG14iJbrCtC54ZXfceXZs1owk10a0FoGvVRNfqZjR5outVASxPdA9PMxV0h8UVaQfdv9cj6Bog00C3W7duuPjiixEZGYmkpCSkpqZ6OS0tzaxLMUUEXfuboEvQJegSdAm6BN1Qfl4QdMWVaaA7bty4Gu0kEXTtb0YXGF1gdIHRBTuALqMLjC4QdJXliMIIEUXQtb95GI2H0XgYjYfReBiNh9FC+XnBw2jiiqBrkAi69jf36Dpnoss9utyjK8pEl3t0uUfX62sj6BouU0H3H//4B7Kzs9GxY0ckJSX52Uki6NrfTgZdNqPV/L1nM5p9ogtsRmMzGpvRCLpKMg10X3/9dURGRmLUqFFwuVzIzc3F9ddfj/r166NVq1a47bbbzLoUU0TQtb+dDrof9R1WBboPxmnK6C7ScaLbK7oAI+On45FW+kx0dwzIxIYeuZjbciqygmRjA33v9QDdswvqovyei/H9DVe4J7rDaziMNrx6ovuS1aC7rqntQPd+n+9XbQLdLVeOMBR0Px98jfUZ3TBB1/dzGQ26DyZNxfLkfE2ge+LOpvh2eC9OdHWUaaCblpaG4uJinDt3Di6XCzt27AAA/PLLL0hLS8PChQvNuhRTRNC1vwm6BF2CLkGXoEvQDeXnBUFXXJnajLZlyxZcuHABkZGR+L//+z/3x9544w1GF2jhbATolvS6XgjQ9croagBdObpwV/Pp6KdxXZoTM7oy6Iqe0bV7dCE9+hYMiyuyRUZXd9A1MKO7vd9QsTK6wbYuBMjomg26D7WagmXJ4zQdRjt++6XujO6e3B4EXR1kGug2a9YM7777LgCgRYsWWLx4sftjb7zxBuLi4sy6FFNE0LW/nT7R9crovp7grPVij0b7bV2wcqKrduuCe4+uz9YFTwASbb2YUIfRdNq6oBl0q98Ldtu6sL3fULzQcbxtty7YHXQ50dVHpoHusGHD8MgjjwAAioqK0LRpUyxevBhLlixBq1atMGDAALMuxRQRdO1vT9CV9+geLOikuTDClnt0j85QXC+2sO1kXdeL5TRQCbqHp9miMCKcPbpKoCvUejEBQdd9GK2WFEaYtUf3yNTW4u7RnRtvaXQh2wN0vxzSP3TQPVjoB7qMLugr00B369atWLFiBQDg6NGjuO6661CnTh24XC706NEDpaWlZl2KKSLo2t9OB91/XZ2lGnTPPFAfP+Unu0FXqInumksCgq7aia4n6J5dUNfwZrSAhRE2a0Z7pJUghREaJ7qBQDcc+AgVdDVNdENtRgsApqGC7souN3tPdKs/n9XNaEELI0IBXR3Xiw2LK3KD7ueDrwlrouubj/ac6Hr+g42gq06W7tE9c+YMjh07ZuUlGCaCrv0tVwDLzWjbMq5VHV0QEXT1bEYzvALYphldrYURnOiG5tpeAWxVM5oooOtVAWxRRje7eo+u/GelthmNE139xcIIg0TQtb99m9G0gC4rgEO7Pk/Q1bpHV6RmtL2juqtuRjtS2NZWFcBWgK7dJ7paQdfUwogFdcWe6KqMLryVeqNuE92dgwZW/dmrzOgSdPUVQdcgEXTtbyMqgOWtC1aBrt6FEUaAruqMrkETXSEqgG0WXbB6oqt3RteICmC7NKPpdRjNtK0L4YCuzs1onqB7pLAtQVcQEXQNEkHX/q5VWxcEAt2A0YXqCVJtiC5kB9qjq9PWBTMqgK3eo6t1vdgvk9th56CB+m5dMHi9mJHRBdWga/YeXQ/QPVmaZTroZsUV4f6kqXi58y0hg26gPboEXf1F0DVIBF37O9BhNL2iC04BXb0rgPXM6IpWARwu6L7c+RbTMrp236OrpgK4JtC1W2FEbQRdpehCyKCrY0Y3K64Ic1oWuUH3l8ntcHZBXdWgywpg/UTQNUgEXfuboEvQJegSdAm6BN1Qfl4QdMUVQdcgEXTt70DRBVXrxQQ6jBYQdD2a0dREF4yoANbrMJqWCuDhOoBuoMKImiqAA0YXWAEc1J6H0cKpAFbK6MqgW1u3LghbARziYTQ1oKv1MJoMul7bUubVCw90q/+RweiCvjIUdLt164bU1NSQnJaWZuSlmC6Crv1tFOhandEt9q0A9t264HOD8APd6mybL+iKWAG8Y0Am3ukpTgXwQ62mhHQYLeAe3fWXGnoYTdNE96kod1ZUONDVYeuC0YfRRN26YIcK4I/6DvOrANYy0VXzD3b57+3cllOxtFOBO6NbMb+e+2tTcxiNFcD6yFDQzc/Px7hx40K2k0TQtb/1LIw4PScB+/JS8UHvbDGjC68n4PRnV4W8Xuz03Hh3YcRT7Sbp2oxmxHoxLYURnuAUbmGE0kQ37D26Okx0nXwYTXG9mEbQvV8v0F1/Kc4ujLLNRFeXCmATJrqaD6PpHF2QQffzwdd4rQXUXAG8tG7Ve23vGIKuCjG6YJAIuva3Euh63ozCbUaTQdfq6EKgiW5Q0A1SAaw36IpWAaw5ozuzSdjrxYqqowuqM7oWgq68Xiyngfmge7/vRDfIerFwogs1ga4MpE6JLgib0a1hoht2dKF668KuYX1127rwUudbfot5eHxt4VQA+4EuJ7qaRNA1SARd+9tzj+6GHrm6ge68atC9WuP/6g/XvhNd3wrgcEDXswLYqGY0PTO6ek109TiMVlNG1xN0zdyjqyfoWlUB7Ae6Bkx0bVsYobICWK89umZWAGtZL6YluqC5AjjAejFWAGuXqaD7j3/8A9nZ2ejYsSOSkpL87CQRdO1vpa0LFY9Go3J1k7CjC54ZXasnuoG2LoQTXTDqMJpRFcBzW04NeaLbMfYGL9DdnD5S960LwUA3yyOja1Z0Qc+tC1Y3o4V6GC0Y6Mp7dO2S0RVyomsE6AbYo+ue6KoBXUEqgIOBLie62mUa6L7++uuIjIzEqFGj4HK5kJubi+uvvx7169dHq1atcNttt5l1KaaIoGt/69aM5gO68wWZ6NaGCmA1E11f0NU7oxtqM5ocXdCzApgZXe2H0fSc6M5paVPQVZgQWxFd8MzoWrl1wXeiywpgcWQa6KalpaG4uBjnzp2Dy+XCjh07AAC//PIL0tLSsHDhQrMuxRQRdO1vT9DVtEdXsImu0tYFtRNdkSuA1UYXUmJG67JeTG0FsNkTXSMyulZWAGud6Npt64KQE10f0DWzAtiKZrTs6gpgrz26BF0hZBroxsXFYcuWLbhw4QIiIyPxf//3f+6PvfHGG4wu0MKZoEvQJegSdAm6BN1Q7hUEXXFlGug2a9YM7777LgCgRYsWWLx4sftjb7zxBuLi4sy6FFNE0LW/jQBdYdeLVYOumsKIhW0n467m01XdIHyvz4jogrxH147rxdyH0RhdCGq99+gGy+gacRjt0/5DbAm6J/aOEacZTQPo6rF1Qf575LktRQvoshlNP5kGusOGDcMjjzwCACgqKkLTpk2xePFiLFmyBK1atcKAAQPMuhRTRNC1v4MeRtMIuqIeRrO6Gc1zousFutWZQC17dO1SASxPdM2sAHbSRFdrBbA80fWsAOZEV9yJrt9hNFYAW40/wsk00N26dStWrFgBADh69Ciuu+461KlTBy6XCz169EBpaanh17BmzRpcccUViIuLQ9OmTZGbm4vvvvvO73lLlixB27ZtUbduXXTp0gXr1q0L+7UIuva3noUR8noxkQ+j1Rhd+DbbtqCrVwWwWRPdqVr36NYy0DWzGU3rRHfnoIHCg65nBbAMumFXAFu1Xsyiw2jyvWJJx/HYMSAThye2x5mHYzVVAO/J7YETdzYl6GqUpXt0z5w5g2PHjpnyWiUlJYiIiMC4ceOwadMmrFixAu3atUO7du1w+vRp9/NeffVVuFwu3HPPPdiyZQsmT56MyMhIbN26NazXI+ja30rRhVq7XuzbbK//5Wc06Nb2CmA/0NVYATyd0QVmdM1sRjMbdC2uAJbX9C3pOP63v7ePRqNyQ3PVGd29o7pzoquDak1hxOTJk5GUlIQLFy64H9uyZQskScLHH3/sfqxdu3bIy8vz+r29evXC0KFDw3o9gq79bWRG15YT3dKsqhtEgMIIJ60Xk7/3umV0fZrRQp3o2vUwml1AN1gzGkHXHhXAmjO6OkYXZNB9rsMEb9Bdc4n2w2isANYk00F3//792LZtG95//30/G6mCggJ06dLF67EdO3ZAkiR89NFHAIDdu3dDkiSsWbPG63kLFixAVFQUzpw5E/LrEXTtb6U9unbP6BZrLYwQdaIboALYE3TVTHQfajVF9wpgVdEF0UH3KTEqgP1AN0gFcE2H0ZQqgANFFyytAL63kZgZXZ+JrhlbF6ysAJb/Hr3QcTx2DhqII1NbV/1ZqagA3j3iSm5d0FGmgW5paSnS09MRERGBiIgIuFwuL0dERBj6+h988AEiIyPx1FNP4dixY9i9ezcyMzPRo0cPnD9/HgCwfv16SJLklxfeuHEjJEnC119/HfLrEXTtb9+JbqCT0Y6Y6D4Ypwp07VIBHO7WBaMLI0yZ6HLrgqaJrgy6Vh1GO/WfDGEqgJd2KhAadN2H0WTQDbMCuOxPibpEF+RMv3wYTUszmifosgJYu0wD3YyMDLRs2RIvvfQSPvnkE+zcudPPRmvt2rWIi4uDJEmQJAmpqak4ePCg++PLli2DJEk4fPiw1+/bvn271+Q3kMrKyrBv3z635d9D0LWvg2Z0VYDugbFdhMjoap7omnQYzaoKYPl7b/XWBVsdRgsw0RUGdFkBLMRE16jogibQfTDOD3TVTHRTYkZjZPx0PNJqCpYnVx3c06sCmKCrXaYWRvhGAszUP//5TyQkJOBPf/oTtmzZglWrVqFLly7o2bOnO5KgBXRnzZrlBmhPE3Tta4IuQZegS9Al6BJ0azJBV2yZBrrJycl4/fXXzXo5P3Xv3h05OTlej/34449wuVx4/vnnAWiLLnCi6zzXmsNo1dGFMzvSw1ovZtRhND3Xi6k5jKZndCEQ6IZaGCGD7pHCtuKDrkDrxfya0QQujJjT0sGga8FhNKvWi3k2Kcr7r49Oa8VmNEFkGuhu3LgRaWlp+Pbbb816SS9FR0dj7ty5fo9ffPHFuOuuuwD8dhht7dq1Xs954oknEBUVhYqKipBfjxld+1vvia4MuvJE1yrQ1TLRDbR1YZHOGd2AoKvD1oVwJrp6VQAHyuiaUgFci0FXj4kuty7Y5zCa30Q3HNB9OFa3w2jZ9afh/qSpWNqpwH2eQyvout9r1e9jgq46GQq63bp1Q2pqqtsXX3wxIiMjkZSU5PV4amoq0tLSjLwUdOjQASNGjPB6bM+ePXC5XHj22Wfdj7Vr1w5jx471el7v3r25XqwW2qmgq/kwmgfobr36OuHXi4lWAawKdH0mup4AJMTWBZFBV+VhNFYAC1gBbNBEVw/QlZvRXqj+h8vBgk4EXUFkKOjm5+dj3LhxIdtIzZ8/H5Ik4dZbb3UXRiQnJ6NZs2Y4evSo+3nLly+Hy+XCzJkzUVJSgsLCQkRGRnrt2g1FBF372yjQFS66oGG92NarrxO6GU3X6MLMJtZtXbBZdGFem0JxQFfn9WK1daIbdjOa2RXAYYCu++eYjnt0h8UVYW5L74luxbx64YFudSudZ3ThyNTWkKQ6BF0NqjWFERcuXMDixYvRpUsXxMbGomnTprj++uvxzTff+D13yZIlaNOmDaKiopCSksIK4FpqzyXgeoGu52E024FugIyuERNdvaML7/S0bwXwjgGZtgRdYfboCtyM9udL7QW6tjmMZlEFcFZckbsw4l9XZ+Gn/GScnpOgGXSPz2gOSaqDM9t7EHRVyjTQnT17Nvbv3x/wYwcOHMDs2bPNuhRTRNC1v3Wb6K6oHzC6IEwFsMrogrx14en2Ew0D3X15qZZFF4zI6KqpAD48sb0uFcAEXX1AV6/oQm0DXZEmukZXAG/LuBY/39K56prWNdV8GE2S6kCS6hB0Vco00I2IiMC2bdsCfuzTTz81vDDCbBF07W8jowt5DQWa6IYBukoVwIYfRtMYXQhnousZXfBtRtNj64Kq9WI2Ooxml8IIEbYuOBp0BY4uKIHuXc2n61IB7AW6r8WHBbry1+a1deG5KEhSnao/b4Ju2DINdF0uFz755JOAH1u9ejUaNWpk1qWYIoKu/W0E6IoQXdCrAliOLsgZXTU3CN/rM3LrQrigO1yHCmCt0QWzK4C/G5leBbrz6jnjMNrf66kGXVYAhwi6J2ZbGl3QowJYj4xulkdG1ytytKG59vViS+tCkuqg7OcJBF0VMhR0ly5div79+6N///6IiIhA9+7d3b+W3atXL8TFxeH666838lJMF0HX/iboEnQJugRdgi5BN5R7BUFXXBkKuitWrMDw4cMxfPhwuFwuZGRkuH8tOzc3FzNnzsShQ4eMvBTTRdC1v2vN1oVwM7oBti7oHV2Y16bQsvViehZG2HbrQrigK3Izmsr1YpvSb8D9FkUXTv0nI6zogvznLjLoChVd+LwPJKkOymc28WtGU/NzLCVmNEYnTMf8NoVY1eUmfDW0X1jNaL6gu3vElX6FEWc3V21fCPRek6Q62PXxUIKugkyLLowbNw67d+826+UsF0HX/tZ768KBsV2E2KPrN9HVsEfXqApgP9DVkNHVsnXhoVZTsDl9pCV7dC2tAK6eIDsZdPWc6Do1o7u931Dnbl3YULXN4EhhW80T3S4xebqCbsBmtA87uQ+lBXYEQVdBpoHuDz/8UKOdJIKu/c3CiNDWi5ky0TXxMJr8vRelAtiyw2jhgK7Dti6YtUfXDhXASzsVBATdiq1dQwPdFwQF3dVN3JBYmn0VNl6R4/61kKD7UTJOlmYRdFXI1MNoERERQe0kEXTtb6eCruYKYIWMrlPWi+kZXdBt60K4zWgWbV2QgcvJE93aVhihBLpOWC9WMb9eQGgM9/3XJSYPoxoYD7on9uQSdFXINNBdvXq1n1988UXk5eWhZcuWePXVV826FFNE0LW/jSiMEAF09awAlteLGQq6sxtqji44LaMbSgXwqXsbcY+uTZrRWAFsXQXwiTubaoZdRhfElhDNaLfffjsmTJhg9WXoKoKu/c3DaKEdRjMCdOXognuia1FGlxXA6iuAnQa6clNdbZvoir51QY89ukrwGOr7Ty3oyl/bie9G4My21BpAtiYTdJUkBOi+9957aNCggdWXoasIuva3UyuAVUUXjs4I2IxmVEbXa72YDhNdtYURVlcA2xV0hZqogsGfAAAgAElEQVTo6hhd+GzgYDajaTiMtr3fUDFA9/M+XhndYA7l/acYXaj+2k59NUAjxBJ0tUgI0P3jH/+IFi1aWH0Zuoqga387NaOrd3TBlIyuBaBrRAWwmoyuuwJYwx7d5cn5BF1uXTANdI+fmC1+Rndd4MiCGtDtHBMsO2uWCbpKMg10r7/+ej9nZWWhTZs2iIiIwAMPPGDWpZgigq79TdAl6BJ0CboEXYJuKPcKgq64Mg10+/Xr5+chQ4ZgwoQJWL9+vVmXYZoIuva3kYfR8hraLLqgALp6Rxf6RE+0fL1YMNAVZY+uHbYuEHRDA93nOkwwBHS/GtpPqOiCcKD7ZiOcXRgVMuz+f3tnHlZVnf/xwxUvcFncNVFCEzEXRDS3SKnct9xyI5OaBsXSNqspNR3NtHI0tNFxSrNpLBccDY1cEnFHIx+zX47TqGlBjWmFpCKI8v79Yed2twN3Oeu97/fzvJ4nL4d7z/2C97z6+jmfj/YiS9H1NrooXfDHUHSNT8CMAPbyZjRH0ZVzBLDck9G8FV3DjgD2UnTlHAFM0Q2QEcAeiu769hOwL3mopOja/t3Wqr2YMaHoSoWiq1AousZHqR1drbsuKCG6/jQZTS83oxl9BLBWoruzyyjZRgBrJbp6GAEs3jwmdx/d9e0nKLajK3Y5cCW62osoRVerqCq6paWlyMnJwd///ncsWbLEjqVLl6p5KoqHomt8/H0E8OGeg3yu0VVtMppGO7pG7rrgUx9djgC2E92MhoE5MEKJEcC+im75X8Kc+uh+/1AHHYim1lB0paKa6Obl5aF+/frWCWnBwcF21KxZU61TUSUUXePjjzej9bFM9n5HVxwBLFG64C87uuLPXg7R9XYEsNztxby6Gc3HEcD+JLqBOhmtuh1dVwMjSq8v82lHV6p0QZ0WXUaGoisV1US3TZs26N27N/7zn//g5s2bar2sZqHoGh9/FF1fSxcCaQSwUqKrxc1oAdt14f1Q/6/RVWkE8PG+vfDz4y1u/R1YY6lSukouveT5zWgn+6Dk4hQdCKNRoehKRTXRjYiIwKeffqrWy2keiq7x8dcRwD7X6BpsBLC3XRe0rtH1SXQdRgAHrOgaZASwXrsuiDu6a9o94rF4OY4AvpjeCsd690VW+4d1IIX+CEVXKqqJ7uDBg5GZmanWy2keiq7xcRRdV/PojSy6XtfoqjACWMvJaOLPXuvSBbVuRhsU8YTvorvMbCdci+My9FO64IHoXl8SosqO7oft0gwlumsT0nCsd18dyByh6Hoe1UT3hx9+wN13343Fixfj+PHj+Pbbb53wp1B0jQ9Fl6JL0aXoUnQpusaAoisV1UT3/PnzGDBggPVmNFvEx/wpFF3j4++lC4d7DsL5R9t6Xbogiq4SN6PJWbrgTdeFBMtYl3109VK6oEvR1Wvpgk5rdKdFG6tG98t+9+OH8e11IHSEoutZVBPdXr164bbbbsP8+fOxYcMGfPTRR074Uyi6xsffRdcwI4A1EF0lRwAbpuuCv9ToBpDorm8/QbYdXbEdmDf1uYSiq6eoJroWiwVZWVlqvZzmoegaH2+7LlwtW2KsEcA66qN7T1g6xji2F9OR6Pq6o/v6HZNl6bqg+GQ0jgBWTXTlHAHsi+j++gOF1thQdKWimui2a9cOmzZtUuvlNA9F1/gosaOrhxHAMxQaGCHXCGAn0dVoMpruRgDnRHMEsARG7KNru6N7JGWg7KLrVLrwW99b7YWMUHTVjWqiu23bNiQlJeHUqVNqvaSmoegaH8cdXXdvRjPKjq6vNbqOfXTlEl3bgRHWPrpG3tGdVd94pQsGFl13RwC7K7qjalW/oysKqdbtxUTRZblBIELRlYpqotuhQwc0aNAAwcHBaN68OZKSkuzo2LGjWqeiSii6xkepGt3MuAxdTEaTU3Tl3NF1OTBCJzu6RroZTdURwDoS3U+7PoizD3bR/QjgadFT8UozL0T3l+duie5vny3lmaE6kCyiPRRdqagmuo888ki1+FMousbHH29G82kEsEN7MdVGAGtYo+ur6Dq2F3v9jsnG2NGV4WY03bQXk2lH993Wj3klumVHkn5vXSYhuq7+tciV6GovU0S/UHSloproBloousZHyRHAWpUuOO7oyiW6SnRdsI4J9aMRwHKJrjcjgJ9uHIBdFxQYAexKdB1LF1yJyLVXauPnjJZVdl0oeyMcFRtr60CaiPGg6EqFoqtQKLrGxx93dOXsuvDDhARF24vt7jbi9/ZiPoiuNyOAEyxjFR0BLCWASpUuVCe6c2Ll6bqgO9FVaATw5ZduQ8V7Ibi+906PZOSH8e3xZb/78WG7NDzf5FZJhPaCRPwDiq5UFBXdpKQkfPXVVwBu1eg61uU64k+h6Bofii5Fl6JL0aXoEmNA0ZWKoqL7yCOP4JtvvgEApKWlsUaXGApHCZBzBLChSxdUHBihdY2uEn10qytdGBo5RbM+ur6OAPbnGl1xJPPZB7vg8ku34fpbZh3IDSEiFF2pBFzpwo0bN/DGG28gPj4eZrMZ0dHRmDRpkt0xlZWVWLBgAWJiYhAaGopu3bohPz/fo9eh6BofJWt09bKjq9cRwFq3F/O3EcBV3YzGEcD2Py+pHV3x52FtL/ZeCK5/2lwHgkNIDVB0paOa6O7du9e6u+uYy5cvY+/evaqcR1paGho3bozly5djz549+OCDDzBt2jS7YxYsWACz2YzFixdj165dGD58OCIjI3HmzBm3X4eia3zkLl34YXx73bUXc3tH95fnqu2jq1jXBQ1FV6nSBcVFd43Fo64LrzZ7XBbRNdJktPIbq7zqo2u9Ge29EFzPbaEDwSGkBii60lFNdIOCghAeHo61a9c6fe3w4cMwmUyKn8OOHTsQHByMEydOSB5z7do1REVFYfr06dbHysvLERsbi8mTJ7v9WhRd46Nk6YIeJqP5uqOr5MAIvZQuyL2jq1XXhapKF8Qd3e2dHWp0veijK4ru4rgM1UV3RJR8pQvHeve1/rxG1ZqKiQ2exIpW6TqQGUKkoOhKRVXRHTFiBEwmE55//nlUVlZav6aW6I4ePRp9+/at8pjc3FwIgoDjx4/bPf7MM88gNjbW7dei6Bofxx1duURXyx1dOSejGaF04fP7+su6oyvHCOChOitdkG0EsM2ELi12dIdFTsFCh/8x8ap04fEW+Kr/ffj8vv46kBdC3IWiKxVVRffIkSP46KOPUKtWLfTr1w/FxcUA1BPd22+/HVOmTMGTTz6JqKgohIaGYtCgQXYlFcuWLUNQUBDKy8vtvvftt99GUFAQSktL3Xotiq7xUUp09TQCWM6b0eTa0R0Z5UJ0feyjq2mNrs0IYE92dMV/KreKbk40RwBL/LxE0fWqdOHnp3Hl1CAdiAohvkDRlYrqogsAJ0+exJ133okWLVrgq6++Uk10zWYzIiIi0K1bN+Tk5GDDhg1o0aIFWrdujYqKCgDAvHnzEB4e7vS9WVlZEAQB33//vcvnLikpQVFRkZWCggJQdI2NP7YXE2t0t3QcJ8sIYCVEV+4RwN62F9Nz6YJSI4DtdnTdLV3Y1lQXpQuufl6O7cXE96G9lBAiNxRdqWgiugDw66+/YujQoYiMjMTzzz+viujWrFkTFosFFy9etD529OhRCIKAjRs3AvBedGfPng1BEJyg6BoXWwnwSXTXRepOdO1KFxZE+txHV+7SBTvRNXqNrosdXTX66PpUuuBlH13b0gW124uJO7o7u4yy64ygvYAQogYUXaloJrpi5syZA5PJpIroNmzYEF27dnV6vFatWpg7dy4A70sXuKPrf1B0KboUXYouIcaAoisV1UR3z549uHz5ssuvHThwAJmZmYqfQ0pKiqTozps3D8DvN6N9+eWXdsc8++yzvBktwHAUXX+o0ZV7YIQS7cVsa3Tlai/2SrMnAq50wacaXS+7LmjVR7dz2CMY8lv3iI2J43UgHYSoDUVXKpoOjLh27Ro2bNiAYcOGITQ0VPHXW7hwIcLCwnDhwgXrY+LO69atW63nFBUVhZkzZ1qPuX79Opo1a8b2YgGGY3sxOWt09XAzmq8jgJWajDbGVY2uBiOAnW5umlVfNyOAPW0v5vEIYE9qdB1Ed3e3EaqKrvaCQYgeoOhKRXXRvXnzJrZt24aHH34YUVFRMJlMaN68OV5++WXFX7ukpAS33347unTpguzsbKxduxbNmzdH586d7dqdLViwACEhIcjMzERubi5GjhzJgREBiNhj1NM+ulfLlhhCdPU4AviesHRdDIxQegSwx6K7WJsRwLa/4+6MAFajdEF7oSBEj1B0paKa6B44cACPP/44GjZsCJPJhNq1a8NkMmHlypVqnQIA4PTp0xg4cCDCw8NRq1YtjBs3DufPn7c7prKyEvPnz0fTpk0REhKCrl274tChQx69DkXX+DiOAPaH0gXbgRFed13YVNepdGFGzBRZuy74VXsxo5Uu/KmxrkYAay8QhBgBiq5UFBXd48eP409/+hNiY2MRFBSEiIgIpKamYuvWrbhw4QKCgoJUG/2rdii6xke2m9FsRgDvvXuY9Wa0e8LSNanRneFr6YKE6CpxM5p1R9dT0f1LmC5FV7URwHLU6HoxMEIO0dVeGAgxIhRdqSgqukFBQTCZTEhJScG6detw9epV69cuXbpE0SW6xnZH1x9HAHtduvCb6Co5Gc1JdFUsXRB/9roqXfBRdD0uXfitVMKj0oXfui7svXsY3mo5ye4iXN16ay8JhBgdiq5UFBXdVq1aISgoCKGhoRg+fDiysrJQVlYGgKJL9I+3k9GqqtHde/cw6whgLXZ0XY4A9qG9WKCNANa0dEGFyWh27cXcuRnt6/63RPdvZpQtiKz2Yiy+rvZSQIi/QdGViuI1ukePHsW0adMQExODoKAgREVFYcKECVi/fj1MJhNFl+gWxxpdd0sX3LkZTcsdXbluRnMUXT2OAPZVdLXso+s0AtiLHd3CsR3dEl3xXy08Kl345Tn8WvSwDi7whBCKrnRUuxmtsrISeXl5mDhxIurVq2ctaxg1ahQOHjyo1mmoFoqu8aHoUnQpuhRdQowBRVcqmvTRraiowJYtW5CamoqIiAiYTCbExcVpcSqKhaJrfCRFd3GoYWt05Z6MZjswQtGuC56WLjjcjCbLwAgZ+ugaouuCG310tb+oE0LsoehKRdOBEQBw9epVfPDBBxgyZIjWpyJrKLrGp7r2YrYSICm6R5L8dgSw2HVhmQFuRvNUdG1HAOd2HWnd0RVrZd0V3fLMUOuObm7Xkbrsozvot4linowALr2+TAcXdkLI71B0paK56PprKLrGx5XoXkxv5Xnpgs5EV66uC7ai628jgG1FVxc7uj6KblWT0WxF190RwBRdQvQGRVcqFF2FQtE1Po59dD1qL/bbHeli6ULpnDq6EF2XXRd8EF1xMppSO7pajQBuaxmNoXKJrk2Nrk8jgG26LrgzAlgc4OBV1wWJ0gXtL+aEENdQdKVC0VUoFF3jY7vbJffNaFpNRvNpR/f0UJelC3LW6DqOAPa1vZgvI4CdRNfAI4CrEt2qShfKjnbVwQWcEFI9FF2pUHQVCkXX+DjudhXcOwA//qGNT5PRbHd0tZ6M5pHo/vKcpOguU+NmNC92dH+aFO+T6MpWuuCi64IWN6NVV7qQ02kMTg29GxfTW+HX55rq4MJNCHEfiq5UKLoKhaJrfFyJ7oU/3omyN8JR8VF9r0cAazkwwvFmNF9rdA/2GCJ7ja4sI4AV2tH19GY0qRHAvpYu2Iqu+K8IdqK7xmJtL/Zlv/urFN2+lsl4tvFUHVyoCSHeQ9GVCkVXoVB0jY9jj1G7Gl0fRFfLHV0l++gqJrpz6mhSuqDnEcDu1Oi6U7qg/cWZECIPFF2pUHQVCkXX+FB0KboUXUKIMaDoSoWiq1AousanStH14WY0LUsXbEU3v+dg2QZGyCW64s1oTl0XVBZdcWCEKLrfjekkq+iq2V7sy373Y21CGqZF36qj1v6CTAiRH4quVCi6CoWia3xsRffjTmO977pg00fXdkdX6/ZiVtF192Y0CdFd0Spd1hHAct2MJqfoerujW54ZahXd3K4jParRtRsBvFi6Rreq9mLfP9QBJwbcq4OLMCFEWSi6UqHoKhSKrvGRHAHsSR/dI0m6HQHs0Y6uC9G17aPrbyOA21pGY0SUPgZGXExvVeXNaLai+2vRw9bfOe0vvIQQ9aDoSoWiq1AousZHFF3bProX01vd2l1zd0dXpyOAt3Qc93uNrpeiK+7oyj0CeGSU/KULnoiu+LMf6jgCeFZ9n0YAy9lH17ZG19p14cqrKDn/Rx1ccAkh6kPRlQpFV6FQdI2PY3sxd0cAO92MpkPRtZuM5mmNroojgItSkzS7Gc22vdh3YzrJsqMrli5UtaM7NHKKtXTBnRrdG5VrdHCRJYRoC0VXKhRdhULRNT62NbpVjQC+XPq6YUcAy9FHV8mb0eTouuDpCGDxZy/HCGDHHV13RNd2R9dao+s4AvjSSzq4sBJC9ANFVyoUXYVC0TU+tju6tjW6ZW+E+zwCWA87uvk9B7tfulDNCGC5bkbT2whglzejbWt66zw82NH9bkwnj29Gcypd+Kg+rue20MEFlRCiPyi6UqHoKhSKrvGREl1v++jqoeuC1yOAqxBdVUYAeyG6co0A3tlllNc1uo4jgBd6eDPa0fv74YcJCTq4iBJC9A1FVyoUXYVC0TU+FF2KLkWXEGIMKLpSoegqFIqu8fF2YIQ7k9FS6+iodMHHGl25b0Yb46pGV+U+ui5rdGc28Fp0vxvTya5Gt6rShUERTyCj4ZN4q+UkHVw8CSHGgKIrFYquQqHoGh+xvdifbW5G+/EPbaqt0a1KdG1rdLWejGbtusARwC5/9o4DI65Mb+jZzWjbmjqJbnXtxVqHP4iOYQ/r4KJJCDEWFF2pUHQVCkXX+Dh2XfB6MprDzWhvaSy6M2z66OptBLCj6MpxM5qnXRfEyWgjoqZgvswjgBfeMRkjolyXLmh/oSSEGBeKrlQougqFomt8lBJdPbQX29JxnGwjgOXsuqDUCGBPJ6OJI4DnO3RdKM8MRcW2ph6PAP5uTCfs7jYC812ULmh/gSSEGB+KrlQougqFomt8lBTdMbX0MRnNlx1dI40A9vVmtLMPdnHrZrQr1xZJ9tHN7ToSC++YjJFRU3FXWJoOLoyEEP+BoisViq5CoegaH1cjgI2+o+tyBLCXO7q2XRfkLl0QRbdwbEfNRwDbDowQRbe6PrpXv+6P63vvhCDUwKWnYvHNyK7Y3W0EVrZ+TAcXREKI/0HRlQpFV6FQdI2PKLo+d12QGAGsRY2uEUYAyz0wwtvJaEMinvBOdDm1jBCiOhRdqVB0FQpF1/jYim5VI4A96aOrlx1duz66PpQuKFWja9d1QcPJaNX10b1ybZFVdG9UrtHBxY4QEphQdKVC0VUoFF3jU+XACBlEV6sd3RnejgCW2NGVs+uC3kYAizu6jjW64o7ulWuLUH5jlQ4ucoSQwIaiKxWKrkKh6Bofii5Fl6JLCDEGFF2pBKzoXr58GU2aNIEgCDh27Jjd11auXImWLVsiJCQE7du3x9atWz1+foqu8VFCdPUwAtipdMHLgRGOXRf0WqOrWNeF83/UwcWNEEJqgKIrnYAV3RdeeAGNGjWCo+iuXbsWQUFBmDlzJnbv3o1JkyYhODgY+fn5Hj0/Rdf4KDECWA87uj6LrsMIYCXaizkNjFC5j26VI4CzG6J8fxsdXNgIIUSEoiuVgBTdkydPIjw8HCtWrICj6MbHxyM1NdXu+O7du2PAgAEevQZF1/g4jgD2dUfXUXS1HBixOekhXY8A1rK9mO2OruMI4PLMUFRsvQ1lBXfp4MJGCCEiFF2pBKTo9u7dG9OmTUNeXh5sRffMmTMQBAHZ2dl2xy9ZsgRmsxllZWVuvwZF1/h4OzDCnRrd1Draie4Mx/ZiMoiu3KULWnddsB0BvLPLKPsRwNkNKbqEEJ1B0ZVKwIluVlYWGjVqhJKSEifRzcnJgSAIOHXqlN337Ny5E4Ig4OTJk26/DkXX+DiKrpztxfQgur6OALa9GU2pyWiFYzuidE4d90oXLk6RVXSHRU7Bq81+39G9/NJtKFsQqYMLGiGEOELRlUpAie7Vq1cRExODVatWAYCT6K5ZswaCIODixYt231dQUABBEHDw4EHJ5y4pKUFRUZEV8XsousZFyR1drUsXfNrRVaFGVw83o42IulW6sL3zaPx7YIoOLmSEECIFRVcqASW6L730Eu666y5UVlYCkFd0Z8+eDUEQnKDoGheOAK56R1d3NboSO7o7u4zyeARwgmUshkZOwZ9jn9DBBYwQQqqDoiuVgBHdc+fOwWw2IycnB8XFxSguLsbWrVshCAL27duHy5cv+1S6wB1d/yMQJqN5NQJYonRB0fZiPnRd8HYEcHIY24cRQowCRVcqASO64u6tFCkpKdab0bZs2WL3vUuXLoXZbEZ5ebnbr8caXeND0aXoan/xIoQQd6DoSiVgRLe4uBh5eXl2vPnmmxAEAe+88461fCE+Ph7jx4+3+97k5GS2FwtAxBrdP/up6Fono8k0MEKJPrrW0gUf++h6KrraX7QIIcQTKLpSCRjRdRXHGl0A+PDDDxEUFIRZs2YhLy8PGRkZCA4OxqFDhzx6boqu8VHqZrTMuAxNb0bT8whgT9qLXb/5XrU1up/f19/aR3eIG6Kr/cWKEEK8gaIrFYquxAjguLg4mM1mJCQkcARwgOKPXRdcTkbzsnThhwkJiowAHhkl781o2zuPxvzm1e/oan+hIoQQb6HoSiWgRVfJUHSNjz+Krm17MV9LF9QYGOFrje6x3n2rLV3Q/gJFCCG+QtGVCkVXoVB0jY/jzWj+VLqwOekhzwZGqLij61J0veij+9Ok+Grbi2l/cSKEEDmg6EqFoqtQKLrGx9sdXT330ZVlBLDDwIhlCpQu+Cy6mVV3XdD+okQIIXJC0ZUKRVehUHSNj7+WLvgsui7aiyl1M1pVpQtON6OJopsTjfK/hNnV6L7S7AkMjZyCDpbxOrggEUKI3FB0pULRVSgUXePjr6JrOxlNzhHAmk9G+zEDpSfud9lHd+Edk/FIvSd1cDEihBAloOhKhaKrUCi6xoeiS9ElhBBjQNGVCkVXoVB0jY9SN6PpSXTl6rowI2aKrAMj5Gov9kWf3sjrPlwHFyFCCFESiq5UKLoKhaJrfPxRdOWcjKZG1wVfJqP9nNES50bfpYMLECGEKA1FVyoUXYVC0TU+jqUL/jYC2NcdXVVLFzwU3etvmXVw4SGEELWg6EqFoqtQKLrGx19rdJ1GAOtQdH0ZAXz90+Y6uOgQQoiaUHSlQtFVKBRd4+OPomuU0oXFcRnY3W2ExzW6V04N0sEFhxBC1IaiKxWKrkKh6Boff6zRdeyjq+cRwLu7jXB7BPDVsiUo+fVlHVxsCCFECyi6UqHoKhSKrvHxxx1dOUsXtB4BLJYulN9YhWsVf9fBhYYQQrSCoisViq5CoegaH6V2dDPjMvQlugsifarRVXIEsDulC9pfYAghRGsoulKh6CoUiq7xoehSdAkhxBhQdKVC0VUoFF3j46+lC3LdjKZU14WRUb+3F6uqRvf6zfd0cHEhhBA9QNGVCkVXoVB0jY+/iq4/1OheLn1dBxcWQgjRCxRdqVB0FQpF1/j4e9cFOURXqa4LrkYAl+cn4urJPvj1h0d0cFEhhBA9QdGVCkVXoWgpuoJQQ3NJ9AcCRnS9rNFVur2YneiusaD8YDtcO3a3Di4ohBCiNyi6UqHoKhSKrvFRagSw7m5G87F0Qe6b0Wz76BaO7Yirs+qj4v1QVGxrqoOLCSGE6BGKrlQougqFpQvGR4kd3b13D9Pfjq4Oa3QX3nFrR/e7MZ1wdWYDHVxECCFEz1B0pULRVSgUXeOj1M1oWu/oyj0CWIn2YuII4HOj78LPj7fQwUWEEEL0DEVXKhRdhULRNT4BU6OrM9EVSxc+7fog/j0wRQcXEEII0TsUXalQdBUKRdf4UHQpuoQQYgwoulKh6CoUiq7x8dfSBTm7LihVo/v6HZOR1f5hHVw8CCHECFB0pULRVSgUXeNju6P7caexVtEteyO8StG9WraEouvl+XUP+wNGRE3BC02m6uDCQQghRoGiKxWKrkLRSnQFga3F5ELO0oXSOXVYuuDG+XUNexR9LJN1cNEghBAjQdGVCkVXoVB0jQ9rdNUVXfH3lxBCiKdQdKVC0VUoFF3jo5To6q50QSd9dLW/UBBCiFGh6EqFoqtQKLrGR6mBEboTXR9rdOXa0dX+QkEIIUaFoisViq5CoegaH7Hrwp9lHAGsS9HVQemC9hcJQggxMhRdqVB0FQpF1/gETOmCxl0XtL9AEEKI0aHoSoWiq1AousaHokvRJYQQY0DRlUpAie6GDRvwwAMPoEmTJrBYLEhMTMTq1atRWVlpd9zKlSvRsmVLhISEoH379ti6davHr0XRNT6i6P7ZRnR//EMbw4vuyzorXdD+AkEIIUaHoiuVgBLdbt26YezYsVi3bh1yc3Px4osvwmQyYd68edZj1q5di6CgIMycORO7d+/GpEmTEBwcjPz8fI9ei6JrfKR2dKsbGGG49mIa3oym/cWBEEL8AYquVAJKdC9evOj0WHp6OurUqWP9c3x8PFJTU+2O6d69OwYMGODRa1F0jY8r0fWHHV29iK72FwZCCPEXKLpSCSjRdZXly5dDEASUlpbizJkzEAQB2dnZdscsWbIEZrMZZWVlbj+vFqIr/sJrLYj+grc7ulWNANZD1wWn0gWZanR7WTLcfj/aXxQIIcSfoOhKJeBFNzU1FbGxsQCAnJwcCIKAU6dO2R2zc+dOCIKAkydPuv28FF3jI1uN7rpIuxHAWouu7Y7u+UfbylajS9ElhBCtoOhKJaBFd//+/TCZTFi6dCkAYM2aNf8DasUAABzjSURBVBAEwanEoaCgAIIg4ODBg5LPVVJSgqKiIivi91B0jYsr0fWlRrcoNclOdO8JS9dcdLUoXdD+gkAIIf4GRVcqASu6hYWFiI6ORq9evXDz5k0Avonu7NmzIQiCExRd48LJaPbvR472YtpfDAghxB+h6EolIEW3uLgY7dq1Q0JCAi5dumR93JfSBe7o+h9tLaPR1zJZMdG910iiK9OOrvYXA0II8UcoulIJONEtLS1FcnIyYmJinH4hxJvRtmzZYvf40qVLYTabUV5e7vbrsEbX+IgjgGfdPsU6AtjbrguuanT9SXRnxEypVnS1vxAQQoi/QtGVSkCJbkVFBQYPHoy6devixIkTLo+Jj4/H+PHj7R5LTk42RHsx8Rdea0H0Fyi6FF1CCDEGFF2pBJTopqenQxAELFq0CPn5+XaIrcM+/PBDBAUFYdasWcjLy0NGRgaCg4Nx6NAhj15LFF1BMKkmMoJAyZUTxxrdIykD/WpgxOGegyi6hBDiF1B0pRJQohsbGwtXN4wJgoCzZ89aj1u5ciXi4uJgNpuRkJDg0whgiq5xkbO9mG2N7pKWk5BaR0ddF3xsL+bOzWjaXwQIIcSfoehKJaBEV81QdI2P7Y7ux53Ger+j6yC6mXEZeKjOk5rv6MpVurCiVTpFlxBCNIWiKxWKrkKh6BofV10X5KjRXRyXgdQ62pcuyD0ZTUp0tb8AEEKIv0PRlQpFV6FQdI2Pqz663oquY+mCVgMj7gubpJjoupqMpv2HPyGEBAIUXalQdBUKRdf4yFajK9F1Qcsd3c1JD6kyAlj7D39CCAkEKLpSoegqFIqu8XFsL+brCGDbHd0xtXR0M5pCAyO0/+AnhJBAgaIrFYquQqHoGh/Hm9G8Fl0XN6NpvaOrxghg7T/4CSEkUKDoSoWiq1AousaHokvRJYQQY0DRlQpFV6HYiq4gKC+g4i+71nKo9HtU8/VcdV248Mc7fe6jK4pudQMW5EaJ0oX8noNZukAIIZpD0ZUKRVehUHSVeY9qvl7r8AetN6PZ7ujK0V5MK9G9L2wSXpZZdJfHT8Ss2+0no2n/oU8IIYEERVcqFF2FQtE1vuhWOTDio/qG7Lpg215MjhHAh3sOwvL4iXjZZgSw9h/4hBASaFB0pULRVSgUXf8SXaf2Yp6IrosRwA/VeVLTrgtiezE5RHdFq3S8+FvpQlvLaB184BNCSKBB0ZUKRVehUHSN//4ca3TFHV2PRdfFjm5aXe1GAE9vOtXn0oVrr0ZZSxfeufOP1hrd9pZUHXzgE0JIoEHRlQpFV6FQdI3//tpaRqOPAiOAbXd021pGq/Z+bEVXrh1dsUZX3NHV/sOeEEICEYquVCi6CoWia/z356rrgi8jgItSk6yiK44ATrCMVe39iDW6cuzoOoru9KZT0T/8cR182BNCSCBC0ZUKRVehUHSN//7EGl1xMtrn9/X3SXRtd3TFm9HUfE+udnTPP9rWKrplR7t63V7sxaZTMSJqig4+7AkhJBCh6EqFoqtQKLrGf38UXYouIYQYA4quVCi6CoWia/z319YyGgN/E12fJqPZiK7YdWFMralIDvujqu/JcWDEwR5D7EoXPBFd8WY028lo2n/QE0JIoELRlQpFV6FQdI3//qrso+vlZLS87sOtO7r3arSj6/MI4E11rTu6B+55wDoZTfsPekIICVQoulKh6CoUR9EVBGWFRo3X0BIt3p+j6Mo1AlicjNbXMlnV96TECODDPQdh2W8DI7T/oCeEkECFoisViq5CoejK/97Ufn9VjgD2oY/u4rgMjKk1FcMip6j6npQYASxORnutOTsuEEKIdlB0pULRVSgUXeOLrrij+2dvRgD//HSVAyNS60zFmFpTVX1PrcMfxL1hE2UdAXwkZSCWxU/EkpbsoUsIIdpB0ZUKRVehUHT9R3Rd1uh6uaMr3oz2SL0nVX9P1XVd8GYy2pGUgVjZ+jEdfMgTQkggQ9GVCkVXobgSXUFQTmqUfv5AFd0+Mo0Atm0vlhmXgYyG+hBdX0cAH+45CB+2S9PBhzwhhAQyFF2pUHQVCkXX/0RXzhHAT96mjeh6PRnNtuuCQ43uxsTxOviQJ4SQQIaiKxWKrkKh6FJ0KbqEEELUgaIrFYquQpESXUFQRmyUfG6tUXrtqhLdvjKKblFqEvYlD8VbLSdhWvRU1d+Treh6XLpQhehq/wFPCCGBDkVXKhRdhVKV6AqC/HKj1PPqASXXrTrRtR0B7JXoHkmy1ugWpSZh793D8JZDhwI1RbeXJQMvejMC2EF0bWt0tf+AJ4SQQIeiKxWKrkKh6PqH6A50EF2nyWjn/+gkulfLllQ7GU2L99Q6/EH0sUzGjJgp2Jz0kPcjgDfVtYrugXse0MEHPCGEBDoUXalQdBVKdaIrCPIKjhLPqReUWjN3RddxYER1I4CrE93MuAxN3pOt6GYnpf4uuq9FeNZ1wWEEsPYf8IQQEuhQdKVC0VUo7oiuIMgnOXI/n55QYr3cFUOxj+6WjuPcFl13RgBr8Z5cTUb7YUKCzwMjtP+AJ4SQQIeiKxWKrkJxV3QFQR7RkfO59Ibca+WJGIo3o23pOM6zPrpVTEZb1GKyJu9JicloR+/vp4MPeEIICXQoulKh6CoUT0RXhKKrX9H9uNNYHO45SBbR1XJHVy7RFWt0v+jTWwcf8IQQEuhQdKVC0VUo3oiuLRRd7UVXbC/2SjP7EcDeTEZz7KOrxXuqsr3Yxtpeie7xvr108AFPCCGBDkVXKhRdhULRpehSdAkhhKgDRVcqFF2F4qvo2kLR9Wwt5BTdPr+Jbk6nMTiSMvD3PrpeiK7twAgt3lOVfXS9Ed3x7fFlv/t18AFPCCGBDkVXKhRdhSKn6FYFRdd4orssfqIm70kU3ReauB4Y4fFktPHt8VX/+3TwAU8IIYEORVcqFF2FopboeoPW4mo00ZUcAXzsbrdFV5yMti95KJZrLLriju7BHkO8m4wm9tEd3x4nBtyr+e8zIYQQiq5UKLoK5dtvv8Ut0Q367ReQVMcdYQNc4s4xShAfOhjJoeMxrUka/pEwBDnd78MXY1rim5dDce7deji9oxNOfjEe/z09C6fPvYZvC5fi28KlOHX2VZz8ahJO7bsXZ7a2xbkVETj9fBQKhrXFv+7qi/nNH9LkPcWFDUJy6Hg80fhRrGw7HB916Y1jo+Nx5sVwnHunNs5sS8LJY+Nw8t9TcOrsq07v57/7e+HMtqRbx74YjqMP3ond93XX/PeGEEJIEARBwLfffqu1/uguFF2FsmfPHtwSXUIIIYQQ5UlPT0dJSYnWCqSrUHQVyjfffANBEHDkyBEUFRURhSgoKIAgCCgoKND8XPwdrjXX2Z/gOnOd/Ylvv/0WOTk5EASWLziGoqtQioqK+AunQrjO6oVrrU64zuqE66xOuM7qhWvtOhRdhcJfOHXCdVYvXGt1wnVWJ1xndcJ1Vi9ca9eh6CoU/sKpE66zeuFaqxOuszrhOqsTrrN64Vq7DkVXoZSUlGD27NksClc4XGf1wrVWJ1xndcJ1VidcZ/XCtXYdii7DMAzDMAzjl6HoMgzDMAzDMH4Zii7DMAzDMAzjl6HoMgzDMAzDMH4Zii7DMAzDMAzjl6HoypyTJ0+id+/esFgsaNSoEZ5//nmUl5drfVqGzqlTpzBx4kQkJCTAZDIhJSXF5XErV65Ey5YtERISgvbt22Pr1q3qnqjBs2HDBjzwwANo0qQJLBYLEhMTsXr1alRWVtodx3X2LVlZWejevTvq1q2LkJAQxMfHY+7cuSgrK7M7jussby5fvowmTZpAEAQcO3bM7mtca9+yevVql+NoFyxYYHcc19n33LhxA2+88Qbi4+NhNpsRHR2NSZMm2R1TWVmJBQsWICYmBqGhoejWrRvy8/M1OmPtQ9GVMb/88gsaN26Mnj17Yvv27Vi1ahVq1aqFJ554QutTM3Q++ugjxMTEYNSoUYiPj3cpumvXrkVQUBBmzpyJ3bt3Y9KkSQgODg7ov9yeplu3bhg7dizWrVuH3NxcvPjiizCZTJg3b571GK6z71mxYgVmzJiBTZs2Yffu3XjttdcQGhpqd7HiOsufF154AY0aNXISXa617xFF99NPP0V+fr6V77//3noM11mepKWloXHjxli+fDn27NmDDz74ANOmTbM7ZsGCBTCbzVi8eDF27dqF4cOHIzIyEmfOnNHorLUNRVfGzJ8/HxEREfj555+tj/39739HjRo17P7CM57l5s2b1v8eOnSoS9GNj49Hamqq3WPdu3fHgAEDlD49v8nFixedHktPT0edOnWsf+Y6K5Pp06cjIiLC+rvOdZY3J0+eRHh4OFasWOEkulxr3yOKbnFxseQxXGffs2PHDgQHB+PEiROSx1y7dg1RUVGYPn269bHy8nLExsZi8uTJapym7kLRlTE9evTA8OHD7R4rLi5GUFAQVq9erc1J+Vlcie6ZM2cgCAKys7PtHl+yZAnMZrPTPwkz7mf58uUQBAGlpaVcZwWzaNEihISE4MaNG1xnBdK7d29MmzYNeXl5dqLLtZYn1Yku11mejB49Gn379q3ymNzcXAiCgOPHj9s9/swzzyA2NlbBs9NvKLoypkGDBpgxY4bT49HR0fjTn/6kwRn5X1yJbk5ODgRBwKlTp+we37lzJwRBwMmTJ1U8Q/9Kamqq9cOR6yxvbty4gdLSUhw4cACxsbF45plnAHCd5U5WVhYaNWqEkpISJ9HlWssTUXQbNmyIGjVqIC4uDm+++aa1vp/rLE9uv/12TJkyBU8++SSioqIQGhqKQYMG4ZtvvrEes2zZMgQFBTndG/T2228jKCgIpaWlap+25qHoypjg4GAsXLjQ6fG2bdsiPT1dgzPyv7gS3TVr1kAQBKd/ei8oKIAgCDh48KCKZ+g/2b9/P0wmE5YuXQqA6yx3QkJCrDftTJgwwVq2wHWWL1evXkVMTAxWrVoFAE6iy7WWJ9u3b8fcuXOxY8cObN++HRMnTrTW4wJcZ7liNpsRERGBbt26IScnBxs2bECLFi3QunVrVFRUAADmzZuH8PBwp+/NysqCIAgBWUZJ0ZUxFF3lQ9FVJ4WFhYiOjkavXr0oYArl6NGj2L9/P5YuXYoGDRrg0UcfBcB1ljMvvfQS7rrrLuvOIkVXvUycOBGhoaG4cuUK11mm1KxZExaLxW4djx49CkEQsHHjRgAUXVeh6MoYli4oH5YuKJ/i4mK0a9cOCQkJuHTpkvVxrrNyyc7OhiAI+Pzzz7nOMuXcuXMwm83IyclBcXExiouLsXXrVgiCgH379uHy5ctcawUjruGRI0e4zjKlYcOG6Nq1q9PjtWrVwty5cwGwdMFVKLoypkePHhgxYoTdY5cuXeLNaDKmqpvRtmzZYvf40qVLYTab2cfYg5SWliI5ORkxMTEoKiqy+xrXWbkUFhZCEASsXbuW6yxTxN1bKVJSUrjWCkaU2M8++4zrLFNSUlIkRVdsAynejPbll1/aHfPss8/yZjTG98yfPx+RkZF2d56+8847bC8mY6pqLzZ+/Hi7x5KTk9m6xoNUVFRg8ODBqFu3rmT7Gq6zMlm3bh0EQcDhw4cBcJ3lSHFxMfLy8ux48803IQgC3nnnHWv5AtdamaSnp1tLFwCusxxZuHAhwsLCcOHCBetjYvmHOHxDbC8m1kcDwPXr19GsWTO2F2N8jzgwIiUlBTt27MC7776L2rVrc2CEj7l69SqysrKQlZWFzp07o02bNtY/i3/hP/zwQwQFBWHWrFnIy8tDRkYGgoODcejQIY3P3jhJT0+HIAhYtGiRXdP3/Px8a/sfrrPv6devHxYuXIhPPvkEO3fuxLx581CrVi27tkFcZ2XiWKMLcK3lyPDhwzF//nzk5OQgJycHjz32GARBwKxZs6zHcJ19T0lJCW6//XZ06dIF2dnZWLt2LZo3b47OnTvbTbBcsGABQkJCkJmZidzcXIwcOZIDIxj58u9//xu9evVCWFgYGjZsiOeee47/LONjzp49K/nPj3l5edbjVq5cibi4OJjNZiQkJHC8pIeJjY2VXOezZ89aj+M6+5aZM2eiXbt2CA8PR1RUFBITE7Fw4UJcu3bN7jius/xxJboA19rXTJ8+Ha1atYLFYkFISAgSExPxt7/9zek4rrPvOX36NAYOHIjw8HDUqlUL48aNw/nz5+2OqaysxPz589G0aVOEhISga9euAf0/FBRdhmEYhmEYxi9D0WUYhmEYhmH8MhRdhmEYhmEYxi9D0WUYhmEYhmH8MhRdhmEYhmEYxi9D0WUYhmEYhmH8MhRdhmEYhmEYxi9D0WUYhmEYhmH8MhRdhmEYhmEYxi9D0WUYhmEYhmH8MhRdhmEYhmEYxi9D0WUYxue8//776NSpEyIjIxEVFYW2bdsiIyMDly9flvV11q5di9WrV7v9uC9JS0tDYmKirM+pt8j1Hjds2IAHHngATZo0gcViQWJiIlavXo3KykqXx3/++ee4//77YbFYEBMTg1WrVlX7GpWVlejYsSNWrFhhfaywsBBDhgxB+/btkZCQgF27dlm/NmnSJDz66KM+vzeGYYwdii7DMD7l9ddfh8lkwnPPPYft27cjJycH8+fPR+vWrVFYWCjraw0dOhQpKSluP+5LTp8+jS+//FLW59Rb5BLdbt26YezYsVi3bh1yc3Px4osvwmQyYd68eU7H7t+/H+Hh4Xj++eeRl5eHjIwMmEymatd648aNaNy4McrKygAAN2/eRIcOHbBt2zYAwPHjx9GsWTPr8adPn4bZbMbXX3/t8/tjGMa4oegyDONTmjRpgvT0dJdfk9rR8zZqiO7NmzetMuXvkUt0L1686PRYeno66tSpY/dYaWkpYmJiMH36dOtjN27cQIMGDfDyyy9X+Ro9e/bECy+8YP3zxx9/jCFDhlj/XFFRgfDwcLvvue+++/DUU0959F4YhvGvUHQZhvEpFosFs2bNqva4AwcOoFevXoiIiEBkZCSSk5Nx4MABAMChQ4cwePBg3HbbbQgPD0dSUhKysrLsvj8tLQ2CINgxe/ZsycfF7N+/H/feey8sFgtq166NtLQ0/PLLL3bPm5iYiK1bt6Jdu3YIDg7Gtm3bnCRQ/POOHTvQtm1bhIeHo2fPnvjvf//r9F7feustNG3aFBaLBQMGDMD+/fshCAI2b94suT7urIEn5+HOObgS3erWy90sX74cgiCgtLTU7pxq166NK1eu2B2bmJiICRMmSD7XN998g6CgIHz22WfWxxYsWIAZM2ZY/3z06FF07drV6Rzq16+PiooKj8+fYRj/CEWXYRif0qNHD9SrVw+rVq3Cjz/+6PKYvXv3ombNmrj33nuxYcMGbN++HXPmzMG6desA3Kqxff311/HJJ59g165dmDFjBkwmE7Zs2WJ9jtOnT6Nnz55ISkpCfn4+8vPzUVhYKPk4cEuuzWYzRowYgY8//hgffPABYmNj0a9fP+vzpqWloW7duoiLi8P777+PXbt24dy5cy5Ft379+ujQoQPWr1+PzZs3IzY2Fp07d7Z7r5s2bYIgCJg0aRJ27NiBOXPmoFmzZtWKrjtr4O55uHsOju/RnfVyN6mpqYiNjbV7rEuXLkhLS0NFRYUdLVu2xGOPPSb5XO+88w5CQ0PthPWf//wnhg0bBgC4fPkyUlJSnP7H4IsvvoAgCPj88889Pn+GYfwjFF2GYXzK//3f/yEuLs66mxofH4/nnnsO58+ftx7TvXt3JCQk4MaNG9U+382bN1FRUYHRo0fb/dM04Hnpwj333IOePXvaPXbkyBEIgoCDBw8C+H2n2FGGXImuyWSyq/l87733IAiCXS3yXXfdhb59+9o917Rp06oVXdtUtQbunIe75+D4Ht1ZL3eyf/9+mEwmLF261PrYpUuXYDKZnHbfRebMmSP5fBMnTkSHDh3sHquoqMBDDz2ENm3aoE2bNvjb3/7m9H0VFRWoUaMGli9f7va5MwzjX6HoMgzjc8rLy5GTk4OnnnoKHTp0gCAIaNiwIQoLC3HlyhWYTCYsWrRI8vt//vlnPPHEE4iJiUGNGjWs8tOqVSu74zwR3atXr6JGjRp46623nHYQo6KikJmZCeCW7DVq1MjpOV2JruMOpSiB+fn5AH4Xq7/+9a92x+3bt69a0XV3Dao7D0/OwfY9urte1aWwsBDR0dHo1asXbt68aX18z549EAQBmzZtQkFBgRVR0h13rm0zZMgQ9O7d263Xd0y9evXcKq1hGMY/Q9FlGEb2bN++HTVq1MDTTz+NwsJCCIKAtWvXSh4/ePBgNGzYEH/961+xe/duFBQUYNSoUU5C54noFhUVSe4eCoKAadOmAbgle+3bt3d6TqkaXdscO3YMgiAgLy8PAPC///0PgiBg/fr1dsf95z//qVZ03V2D6s7Dk3OwfS5316uqFBcXo127dkhISMClS5fsvvbPf/4TgiCguLjY7vGFCxfCbDY7HW+bPn36YNCgQdW+vqtER0fb3cTGMExghaLLMIwi6dixI/r371/tju61a9dgMpmcdiCHDRvmk+heuXIFQUFBmDVrlt0Oosh3330HQLrzgDei6+2OridrUN15eLuj6+56SaW0tBTJycmIiYlBUVGR09dXr14NQRCceit36NABI0eOrPK5x4wZg+Tk5CqPkYrFYsFrr73m1fcyDGP8UHQZhvEptrW4YkpLS9GgQQM88sgjAG7V6CYmJtr9U7aY4uJiCIKAt99+2/rYTz/9hIiICCfJGzVqlNOd9VU9fvfdd2P06NFVnr+cogvcqo/t06eP3XHPPvtslaLryRq4cx7unoPjc7mzXq5SUVGBwYMHo27dujhx4oTLY3bv3u1UC71u3ToEBwfjiy++qPL5Z82ahejoaI/P68KFC9ZyCYZhAjMUXYZhfEqDBg3whz/8AevXr8e+ffuwbt06JCcno2bNmjh8+DCA37su3H///cjKysLOnTvx6quvWrsudOrUCc2aNcPGjRvxr3/9C0lJSWjWrJmT5L388suwWCzYvHkzCgoK8P3331f5+MGDBxESEoJx48Zh8+bN2L17N/7xj39g3LhxVuGSW3T/9a9/2XU8mDt3LmJjYyEIArKzsyXX0d01cOc83D0Hx+dyZ71cJT09HYIgYNGiRdbOFyJiT+Ly8nI0bdoU3bp1w6efforMzExYLBb85S9/kXxeMTt27IAgCPjf//5X7bG2+eSTTyAIgsv/GWMYJjBC0WUYxqcsW7YM/fr1Q3R0NIKDg1GnTh30798f+/fvtztu79696NmzJ8LCwhAVFYV77rkHhw4dAgB8/fXX1t6tsbGxWLJkCZ566iknyfvxxx8xdOhQ1K5d265frtTjAPDZZ59hwIABiIqKQlhYGFq1aoWpU6daW6HJLboAsHTpUjRp0gShoaHo3bs3srOzIQgC9uzZI7mO7q6Bu+fhzjm4eq7q1stVRIl2xdmzZ63HHTlyBImJiQgJCUHbtm2xZs0ayee0TXl5OerVq4d3333XrePFTJ06FT169PDoexiG8a9QdBmGYRTOm2++iRo1auCnn34K6HPwJU8//bRTOUZVuXHjBho3boz33ntPwbNiGEbvoegyDMPImAsXLuDpp59GdnY2du3ahVdeeQUWiwVpaWkBdQ5yp6ioCBaLBV999ZVbx69ZswYtWrTgVDSGCfBQdBmGYWTMpUuXMGDAANSvXx/BwcFo0qQJnn32WVy7di2gzkGJrF+/Hrm5uW4du2bNGuzdu1fhM2IYRu+h6DIMwzAMwzB+GYouwzAMwzAM45eh6DIMwzAMwzB+GYouwzAMwzAM45eh6DIMwzAMwzB+GYouwzAMwzAM45eh6DIMwzAMwzB+GYouwzAMwzAM45eh6DIMwzAMwzB+mf8HQ1L7mEm0FokAAAAASUVORK5CYII=\" width=\"639.8333142648146\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ff922ce6d68>"
      ]
     },
     "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)\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: 15.287\n"
     ]
    }
   ],
   "source": [
    "print(\"Excution time: %.3f\"%(time.time()-start_time))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
