{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "from pylab import *\n",
    "rcParams['figure.figsize'] = (9, 6)  # Figure size for inline display\n",
    "import numpy as np\n",
    "import timeit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gpyfft version: 0.7.0\n"
     ]
    }
   ],
   "source": [
    "from pynx.wavefront import *\n",
    "\n",
    "if False:\n",
    "    # The following is only using on multi-GPU, multi-user (e.g. Amazon) machines\n",
    "    # Select a device number (0..15) to avoid resource conflict with other participants\n",
    "    from pynx.processing_unit.cuda_device import has_cuda\n",
    "    if has_cuda:\n",
    "        from pynx.processing_unit.cuda_device import cu_drv\n",
    "        default_processing_unit_wavefront.init_cuda(cu_device=cu_drv.Device(0))\n",
    "    else:\n",
    "        import pyopencl as cl\n",
    "        from pynx.wavefront.cl_operator import FreePU, PropagateNearField, PropagateFarField, PropagateFRT, default_processing_unit_wavefront\n",
    "        # Only useful to select GPu on multiple-GPU machines (e.g. Amazon EC2)\n",
    "        default_processing_unit_wavefront.init_cl(cl_device=cl.get_platforms()[1].get_devices()[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Searching available OpenCL GPU[ranking by fft, fft_shape=(16, 400, 400)]:\n",
      "                                            Iris Pro [Apple]: 1536Mb [max alloc.: 384Mb],  22.26 Gflop/s\n",
      "                  AMD Radeon R9 M370X Compute Engine [Apple]: 2048Mb [max alloc.: 512Mb],  73.48 Gflop/s\n",
      "Using OpenCL GPU: AMD Radeon R9 M370X Compute Engine\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/favre/dev/py35-env/lib/python3.5/site-packages/pyopencl/cffi_cl.py:1502: CompilerWarning: Non-empty compiler output encountered. Set the environment variable PYOPENCL_COMPILER_OUTPUT=1 to see more.\n",
      "  \"to see more.\", CompilerWarning)\n"
     ]
    },
    {
     "data": {
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qno4my74+3+n9KuLu97r7wzoZEMN+XKeAKFJfCorSjJFV1+0iqz79EVlVtIjIiqTqUxER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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1100258d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Near field propagation of a simple 20x200 microns slit\n",
    "w = Wavefront(d=np.zeros((512, 512), dtype=np.complex64), pixel_size=1e-6, wavelength=1.5e-10)\n",
    "a = 20e-6 / 2\n",
    "x, y = w.get_x_y()\n",
    "w.set((abs(y) < a) * (abs(x) < 100e-6))\n",
    "w = PropagateNearField(0.5) * w\n",
    "w = ImshowAbs(fig_num=1,title=\"Near field propagation (0.5m) of a 20x200 microns aperture\") * w"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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",
       "        this.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 overriden (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",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\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=\"432\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/favre/dev/py35-env/lib/python3.5/site-packages/matplotlib/backend_bases.py:2453: MatplotlibDeprecationWarning: Using default event loop until function specific to this GUI is implemented\n",
      "  warnings.warn(str, mplDeprecation)\n",
      "/Users/favre/dev/py35-env/lib/python3.5/site-packages/matplotlib/cbook.py:136: MatplotlibDeprecationWarning: The axisbg attribute was deprecated in version 2.0. Use facecolor instead.\n",
      "  warnings.warn(message, mplDeprecation, stacklevel=1)\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",
       "        this.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 overriden (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",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\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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AwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBg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width=\"432\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Activate live display\n",
    "%matplotlib notebook\n",
    "# Near field propagation of a simple 40x200 microns slit, displaying the propagated wavefront by steps\n",
    "# of 0.2 m propagation\n",
    "w = Wavefront(d=np.zeros((512, 512), dtype=np.complex64), pixel_size=1e-6, wavelength=1.5e-10)\n",
    "a = 40e-6 / 2\n",
    "x, y = w.get_x_y()\n",
    "w.set((abs(y) < a) * (abs(x) < 100e-6))\n",
    "# Perform 15 near field propagation of 0.2m steps, displaying the complex wavefront each time\n",
    "# the **15 expression allows to repeat the series of operators 15 times.\n",
    "w = (ImshowRGBA(fig_num=1) * PropagateNearField(0.2))**15 * w\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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exsEHH8x+++3Hbbfdxh577MHatWuZN28evb29zJkzh8HBQSQxd+5cNm/ezJw5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\n9JSOr8w04kBnZlaRTgQ6Sb3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      "text/plain": [
       "<matplotlib.figure.Figure at 0x113c8bc88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Fractional Fourier transform propagation (3m) of a 43x200 microns slit\n",
    "%matplotlib inline\n",
    "w = Wavefront(d=np.zeros((1024, 1024), dtype=np.complex64), pixel_size=1.3e-6, wavelength=1.e-10)\n",
    "a = 43e-6 / 2\n",
    "x, y = w.get_x_y()\n",
    "w.set((abs(y) < a) * (abs(x) < 100e-6))\n",
    "# w = FromPU() * PropagateNearField(3) * w\n",
    "w = PropagateFRT(3) * w\n",
    "# w = FromPU() * PropagateFarField(20) * w\n",
    "# w = FromPU() * PropagateNearField(-3) * PropagateNearField(3) * w\n",
    "# w = FromPU() * PropagateFRT(3, forward=False) * PropagateFRT(3) * w\n",
    "# w = FromPU() * PropagateFarField(100, forward=False) * PropagateFarField(100) * w\n",
    "w = ImshowAbs(title=\"Fractional Fourier transform propagation (3m) of a 43x200 microns slit\") * w"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a= 22.0um, dark spot at a^2/(2pi*lambda)= 0.77m, I[0]= 1.42\n",
      "a= 43.0um, dark spot at a^2/(2pi*lambda)= 2.94m, I[0]= 0.70\n",
      "a= 88.0um, dark spot at a^2/(2pi*lambda)=12.32m, I[0]= 1.09\n",
      "a=142.0um, dark spot at a^2/(2pi*lambda)=32.09m, I[0]= 1.20\n",
      "a=182.0um, dark spot at a^2/(2pi*lambda)=52.72m, I[0]= 1.03\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x112d1ccf8>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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hwZwQQoie1XAcImMhJtHz9qQMQBtT+oc7T2vMuTP1lzJLIUSvN3XqVOx2O3l5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\n7GHz5s28/PLLroH07lavXk1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l2MyOtK47+w0tMndIkE0USc7n6d/hvJzAYU+0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\n2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LIIBwwUnRAcXa9lzfVggmIVCwBNg5bI6oxl2KgWdMgxEdLOy8CYVVTS/U/KddVEdqEC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\nKFGxrdmXz8z1A+biItSy0bXPeS2q1jayf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OrC5MNhhKgi0tONYG7+LAnHHg2RfQU2bcbm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4JRPK8sslEzAbDbSffx5Wu434ww8BoCpFpVOhwRA2brlvFit35gKv+2q3CoEIiIvuhZwzn8ds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kbAJUutUynWer/HtUfjSEQ8zDU1FH/wg4w+8CCBw4e1Dke3lp1XT16+WXfVuazPbCIRlVce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\nc5IkSZLUIMOcJEmSJDXoN137rSl7v628AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x112da27f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Jacques et al 2012 single slit setup - here with simulated 1 micron pixel\n",
    "# Compare with figure 7 for a=43,88,142,82 microns\n",
    "figure(figsize=(15, 10))\n",
    "for a in np.array([22, 43, 88, 142, 182]) * 1e-6 / 2:\n",
    "    w = Wavefront(d=np.zeros((1024, 1024), dtype=np.complex64), wavelength=1e-10, pixel_size=1.3e-6)\n",
    "    x, y = w.get_x_y()\n",
    "    d = w.get()\n",
    "    d[:] = (abs(y) < (a)).astype(np.complex64)\n",
    "    w.set(d)\n",
    "    # w = PropagateNearField(3) * w\n",
    "    w = PropagateFRT(3) * w\n",
    "    # w = PropagateFarField(3) * w\n",
    "    icalc = np.fft.fftshift(abs(w.get())).mean(axis=1) ** 2\n",
    "    x, y = w.get_x_y()\n",
    "    plot(np.fft.fftshift(y) * 1e6, icalc, label='a=%5.1f µm' % (a * 2e6))\n",
    "    text(0, icalc[len(icalc) // 2], 'a=%5.1f µm' % (a * 2e6))\n",
    "    print('a=%5.1fum, dark spot at a^2/(2pi*lambda)=%5.2fm, I[0]=%5.2f' % (\n",
    "        2 * a * 1e6, (2 * a) ** 2 / (2 * pi * w.wavelength), icalc[len(icalc) // 2]))\n",
    "title(\"Propagation of a slit at 3 meters, wavelength= 0.1nm\")\n",
    "legend()\n",
    "xlim(-100, 100)\n",
    "xlabel('X (µm)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x10de44898>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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BKHOBlBeeAEQq3qkWS7UY5DQadk9A/yygD6tcNzGCuUZT5nGHwYT5GLl21upm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\nJvd5FdTQv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EG+jd5HsPm4eRM2zDUVlFE1hTECnPQ6gVTjUz/yEeEwIUYx6+j2QnSlPZB7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kYWVA7qGCpXcmPlfvnYkV7OGauOksMA45epwR905qlajMuXidRGu+q2vokKtoLoFNLhZ9nxj3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azZhWOhx4WBUTT2rB/JRstSea2tXyCgrEOgCtFGeClpFUlKx2oepmgETwE0IGzRvRItf41w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\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f66t49LbRdqNRE+NtqV1gDBuFFDbdj3b+t4c5pYimITlzH475XIx23nuY0/QsI8lO27Uq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5jmLKV+fHyExawATnOc5Bb/55Jzwc7nBepZjseT2/j88C4WyxzVfIQXsylWK3aX+fLgDlaL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\nMXYEJUmSJGli/gd/Jnl4KSiDjAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x113df99b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# propagation of a stack of A x 200 microns apertures, varying A\n",
    "w = Wavefront(d=np.zeros((16, 512, 512), dtype=np.complex64), pixel_size=1e-6, wavelength=1.5e-10)\n",
    "x, y = w.get_x_y()\n",
    "d = w.get()\n",
    "for i in range(16):\n",
    "    a = 5e-6 / 2 * (i + 1)\n",
    "    d[i] = ((abs(y) < a) * (abs(x) < 100e-6)).astype(np.complex64)\n",
    "w.set(d)\n",
    "w = PropagateFRT(1.2) * w\n",
    "figure(figsize=(15, 10))\n",
    "x, y = w.get_x_y()\n",
    "x *= 1e6\n",
    "y *= 1e6\n",
    "for i in range(16):\n",
    "    subplot(4, 4, i + 1)\n",
    "    imshow(abs(fftshift(w.get()[i])), extent=(x.min(), x.max(), y.min(), y.max()), origin='lower')\n",
    "    title(\"A=%dµm\" % (10 * (i + 1)))\n",
    "    if i >= 12:\n",
    "        xlabel('X (µm)')\n",
    "    if i % 4 == 0:\n",
    "        ylabel('Y (µm)')\n",
    "    xlim(-150, 150)\n",
    "    ylim(-100, 100)\n",
    "suptitle(\"Fractional Fourier propagation (0.5m) of a A x 200 µm aperture\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "####################### Stack size:    1 x  512 * 512 ################\n",
      "      Wavefront creation (CPU): dt= 24.84ms\n",
      "     Copy to GPU + Propagation: dt=  6.26ms\n",
      "                   Propagation: dt=  1.17ms\n",
      "                 Copy from GPU: dt=  1.59ms\n",
      "####################### Stack size:    1 x  512 * 512 ################\n",
      "      Wavefront creation (CPU): dt= 12.66ms\n",
      "     Copy to GPU + Propagation: dt=  2.07ms\n",
      "                   Propagation: dt=  0.88ms\n",
      "                 Copy from GPU: dt=  2.25ms\n",
      "####################### Stack size:   10 x  512 * 512 ################\n",
      "      Wavefront creation (CPU): dt= 73.11ms\n",
      "     Copy to GPU + Propagation: dt= 18.96ms\n",
      "                   Propagation: dt=  3.38ms\n",
      "                 Copy from GPU: dt= 16.48ms\n",
      "####################### Stack size:   50 x  512 * 512 ################\n",
      "      Wavefront creation (CPU): dt=344.99ms\n",
      "     Copy to GPU + Propagation: dt= 63.06ms\n",
      "                   Propagation: dt= 15.63ms\n",
      "                 Copy from GPU: dt= 75.79ms\n",
      "####################### Stack size:  100 x  512 * 512 ################\n",
      "      Wavefront creation (CPU): dt=901.26ms\n",
      "     Copy to GPU + Propagation: dt=153.34ms\n",
      "                   Propagation: dt= 32.78ms\n",
      "                 Copy from GPU: dt=300.62ms\n",
      "####################### Stack size:  200 x  512 * 512 ################\n",
      "      Wavefront creation (CPU): dt=1771.89ms\n",
      "     Copy to GPU + Propagation: dt=273.75ms\n",
      "                   Propagation: dt= 61.64ms\n",
      "                 Copy from GPU: dt=505.97ms\n"
     ]
    }
   ],
   "source": [
    "# Time propagation of stacks of 1024x1024 wavefronts\n",
    "for nz in [1, 1, 10, 50, 100, 200]:  # First size is repeated to avoid counting initializations\n",
    "    t0 = timeit.default_timer()\n",
    "    w = Wavefront(d=np.zeros((nz, 512, 512), dtype=np.complex64), pixel_size=1e-6, wavelength=1.5e-10)\n",
    "    x, y = w.get_x_y()\n",
    "    a = 20e-6 / 2\n",
    "    d=w.get()\n",
    "    print(\"####################### Stack size: %4d x %4d *%4d ################\" % d.shape)\n",
    "    d[:] = ((abs(y) < a) * (abs(x) < 100e-6)).astype(np.complex64)\n",
    "    w.set(d)\n",
    "    t1 = timeit.default_timer()\n",
    "    print(\"%30s: dt=%6.2fms\" % (\"Wavefront creation (CPU)\", (t1 - t0) * 1000))\n",
    "    w = PropagateFRT(1.2) * w\n",
    "    default_processing_unit_wavefront.synchronize()  # Make sure calculations are finished\n",
    "    t2 = timeit.default_timer()\n",
    "    print(\"%30s: dt=%6.2fms\" % (\"Copy to GPU + Propagation\", (t2 - t1) * 1000))\n",
    "    w = PropagateFRT(1.2) * w\n",
    "    default_processing_unit_wavefront.synchronize()  # Make sure calculations are finished\n",
    "    t3 = timeit.default_timer()\n",
    "    print(\"%30s: dt=%6.2fms\" % (\"Propagation\", (t3 - t2) * 1000))\n",
    "    junk = w.get()  # We use FreeFromPU() to make sure we release GPU memory\n",
    "    t4 = timeit.default_timer()\n",
    "    print(\"%30s: dt=%6.2fms\" % (\"Copy from GPU\", (t4 - t3) * 1000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<pynx.wavefront.wavefront.Wavefront at 0x128d8e400>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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1iX4L1KD337Z83U1nhdF+rDiOjo4yMTHB2NgYY2NjTE1NMTZWXA6qyurqKisr\nK5WQBkFSVcbHxysxmZiYQLUYdzg+Pl6Ja9yuIKSrq6uVqNk3D1mR2tjYqNoSyluhtEORRITV1VUm\nJiZYXV3dNJZzbGysas/Y2BjLy8uoatXnIIYiwvj4eLXPjY0NVlZWWF1dZXV1tRJ4O6YyDmeE4xa+\n65IwuXO8FUtz2Nc39E+sd6VQWpEUkfOAB9jyqvqJlJA6zcSu51bLtnWxrZttrciJiYnqMz09XQli\nEIpQfmJigpGRkcqympiYYGNjg9XVVaamplBVVlZWmJqaYnV1Netujo6OsrKywsTExCYrMFib1pqb\nnJxERFhaWqoELPQrtkpXVlaYnJxkeXm5EtUgiFYog7UZRHFtba1q78TERGVVh7aFH4rwQ2BFP36p\nRy6h0+Ycx15H7vjZ62Ev0uV+NSZzROS/AM8FvgiEnijw3YNr1t4jl7gYFjnXPHZdw/rwbZM+cQLE\nlg3EsUZbZ7y9FXQr+KnxlrGo5H40cvWk+hb/yDQdvyb6KWrDvl52gt2e9X468PWqujLoxuxl6rKk\nuaSGLZvLDof5VEws1GcFIn7Lt60z5XrHscAQjwxWZCgfhvCE71iIrOtt3djQHmBT7DO0N5RPud4h\nfrm6ulqVtUOJbJx1Y2OD5eXlTRbx2tpa1Ud7bIJFHT42XmnjlG3eKpSzNNtwLiV9dnOMMnATcBi4\ne8BtGTi9noid+hVP3VjW5a7LrOZupNS7IlNxNTv+MSQ1gsCEmF9wO4NQhvhgmA9CGQtfTBj0HcQ3\nfurFxiiDSxxihKm6gpiGfdv4aKg/JGuCKx3abWOUtl2h3iC6IU4ZDzyvGzLUJJQxdWV2Sjy6cG/s\ndqF8JfCPInITxRAhAFT1aQNr1Q4Ri09X3Ztcu3rNouYSPmHevjDDls+VrXPDY3GzQ23ioTxxvTYL\nHlvE8V8+2IHmdf2z9ds2xsOlUm3K1dXmxo6t/66S+iHOtX1Q90kfwxRXAK8DRoHfV9VXJco8HXg5\nRRjxU6r6rLo62wjlW4FXA58BuhtEyFDn1qbKtamrn9SJdbg5m4aW1MXkrKiFTPf4+Djj4+Ps27eP\nqakppqammJmZqZI26+vrLC0tsbCwsCkjvrS0xPr6OlNTU6yvr7O8vMy+fftQ1Wo6uONB8OyYy1DH\n5OQkq6urjI+Pb3pKJ7jeITEEVOVtbNEORRoZGWFpaYnp6WmWlpaq4UobGxtMTExUCZmJiQnOnDnD\nxsYGk5OHxlzvAAAgAElEQVSTVfJneXmZkZERpqamqv6vra2xsLDA0tISS0tLzM/Ps7y8XLnqoc3x\nEzvhHDZZmTG5dYNyvZvqa/MDnPNwBtmuNojIKPBG4InAbcANInKtqt5sylxGMezx0ap6UkQubKq3\njVAuqOrrt9juoTOoX7/t1Gsv/pzgpfaVElE7by1BOy4wZLmD6E1MTLBv3z4OHDjAzMwMMzMznH/+\n+UxOTlYu6pkzZzh16hQTExPMzMwwPj7OmTNnWFtbY9++fayvr7OwsMDhw4er6YMHD7K4uLjJMgxt\nCsOHFhYW2LdvH0tLS0xNTVXub2hfiCXOzMwgIpw+fZrp6enKpQ9xzjAUaWxsjPn5eQ4ePMj8/Hw1\nXCkIehDP6elpZmdnWV9fZ9++fezbt4+FhQUWFhYYGRlhZmaGffv2VZn5ubk5zpw5w+nTpxkfH69E\nc2lpaZPLnnLD44w4bA6FxOIZXw+pLPh2RaTficR+31f2uG2TRwC3qOqXAETkGuBK4GZT5gXAG1X1\nZLnvxrBiG6H8iIi8EriWza73J9q3fXh0RSjjGyAlkNZyrPsVz1mQ1kUcHx/fNCQoWJH79+9nenqa\nmZkZjhw5wqFDhzh8+DDHjh1j3759ldV36tQpTpw4weTkJIcOHWJycpK5uTlWV1c5ePAga2trzM3N\nceGFF7K2tsbp06c5//zzmZ+f3ySU4a0+YSjR3Nwc+/fvZ3FxsbJAg4UYhg0tLS1x8OBBRISTJ0+y\nf//+KkkzPj5eDQdaWVlhfHycubk5jhw5wsmTJytRVdVKDEO/77nnnqr9+/fvZ35+nlOnTjE2Nsah\nQ4fYv38/Y2NjLC4ucuLECWZnZ5mdnWVkZIQzZ85UFnYQSzu+0lqW9u1LNlsfSFmbueshdb11wY0f\ncozyqIjcaOavVtWry+mLgVvNutuAR0bbfyOAiPwthXv+clX9q7odthHKh5XfjzLLhjY8qE38wZTt\n2wndSj11lmHOakiJYW65tSBjV3t8fLyyKicnJxkfH2dqaqoShIMHD3Ls2DGOHj3KBRdcwAMf+EAO\nHDhQuagnTpzgzjvvZN++fZx//vlMT09z/PhxlpeXOXLkCCsrK5w8eZKLL76Y1dVVjh8/zsUXX8zs\n7Gxl0VqLcnV1lX379nH8+HEOHz7M/Pw8Bw4cqEQntG91dZUzZ85w5MgRRkdHueuuuzh48GAlRhMT\nEywvL1eu9sTEBMePH+fYsWPcfffd7N+/v3KLDx06VFnFhw8f5vbbb2dlZYXzzjuP8847j9nZWU6c\nOMHY2BhHjx7l8OHDldX7ta99jXvuuYfjx48zMjLC3Nwcp0+frn54QpLJZsNTL/uwow3CubPJtTAP\n6YHq/RLN+FrcrtgOWSjvVdXLt7GrMeAy4HHAJcCHReTfqOps3Qa1qOp3xctE5MHbaOSWaRN/SGyz\naT7l8m6zTT2Xq3O323ynPrFQ2pfxjo+PVwPLp6am2LdvH/v37+fQoUOcd955nH/++Rw7doxDhw5V\nQhnEYGZmhgsvvJDp6WlGRkZYXl7m6NGjVWzvfve7XxUHPHbsWGXJBqEMA8CXl5fZv38/IyMjHDly\nhOnpaQ4dOsTCwkL1hE8Qyvn5eS644ILKtT3vvPOqxw8nJydZXFxkZmaGxcXFamD6sWPHUFUOHDhQ\nCeXhw4ereOT555/PysoKS0tLHD16lKNHj1YxyfHxcS688EKOHDnCxMQE8/Pzm4ZCnTx5ssqCh6d7\ngGpYUuo8xbHKOInU5tro5frKkROfrdSbs3z7RZ8s5dspHo4JXFIus9wGfEyLB2a+LCL/TCGcN+Qq\nbTPg/GXRolHg2cAwxLJN/KGWrZ7cXrbLuc0pqyAXd+xVKINAWtGMn8SxT+NMTk4yPT1dxSqDCx7i\nlMvLy8zNzTEzM8PBgweZmZlheXm5cotXVlZYXl7m4MGDrK6usry8zOHDhzc9Hx6EEqiEMmwPcOjQ\noU2u9PT0dDUs6ODBg4yOjlbxx5AkmpqaqlzpYIUuLi5WohuEMrjYIalz6NAhDhw4wPj4eNXf0O7x\n8fGq/xMTE4yOjm6KUU5NTVVW+fj4eCWa9jgDmyzEcL7bJHN6FcperMu663Y7Q4LqQkRbpU9CeQNw\nWWnM3U7xYp84o/0XwDOB/ykiRylc8S/VVdrG9T5jpseBxwLvaNnoftMYfxCRq4CrzHzP2cPtnPw2\n26bakhLSVJmUsMYCa93yeFkct7TCGT6rq6tMTk6etXxycrKy6oDKChwZGdlUVkQqS9IOYrd1hu/g\nkob5ECqI6w39C9tMTEywvr6erTNsG9oY2raxsVFl+sM24TiERFd4djwIo30+Ph5OlDsXdaI1qBhj\nL9e4bU9gmLFP+6OyzXrWRORFwPUURt2bVfWzIvIK4EZVvbZc9yQRuRlYB35eVY/X1dvG9f5NOy8i\nrwH+YYv9GDhlUPdqgJGREW3zi56oI7m8jQi2+bUPF0W8Po5RpcrYelN12tiYjYnZJ2HCG3GChbi4\nuMjCwkIlEiFxsbi4yOjoKAsLC4gICwsLLC8vs7CwULmxYTrUEbLIIYkTvpeXl6u6Qt2Tk5MsLCxU\nA7oBVlZWWFhY4MyZM1X5YGmGviwuLjIyMsLi4mI1H+oMmfMg9ouLi6hqtT7098yZMywuLrK4uMja\n2lq1LPQ/lF1eXq5ekGHjkXGWNn5aJ3a97fmKz2vqXObWpejVEOinIPazrn49wqiq1wHXRcteZqYV\n+Nny04qtvOH8POCuLWzXD9rEH84idxH2ajk2XRR1F3/qQk7VVyd+ViCDRZO76eJHFUPiIQyXmZyc\nZH5+nunpaaanp7n33nsrS2p+fp7jx48zOztbvb0nZIKXl5cRkSqZc+DAAVZXVzl58iQzMzOcOHFi\nk+sdhDK46rOzRbx8fn6e9fV1FhcXq/3aGGWw4EL5EDMM4hcEb3Jyssp2h1hiiFFubGwwNzdXWcKh\n/cESDJntYF0HN31+fp6TJ09WCZwwpjKIphXOVDKn1+FBqR/znMi2uW5yZbZD6lruaIxyILSJUX4G\nqpdhCHApcDwsV9VvGVzzzqJN/KEi/tVPXUy52OFWSLnKdftO7c+60Cl3xLrZ8YtlrVsI9z0yGAZK\nB6ssDLQOw3pmZ2c5ffp0NV5yYWGB2dlZjh8/zvT0NHfddVc1PGhlZaWK783NzTE7O1sNFTpx4gSn\nTp1CTNY7fK+urlZjGQ8cOMDCwkIV9wzDgyYnJ6vB3ocPH2ZkZITjx49XYgxUWe+pqSmWl5eZmJjg\n5MmTHD9+nBMnTjA9PY1q8Ujl/v37q8TUoUOHuOuuu1hZWeHgwYMcPnyYU6dOMTc3tym7Hn4U7rnn\nHk6ePMnJkye58847OX36NGfOnOHMmTNVpj4MwLfDg+y4SmDTUKH43Ke+7fUY/zi2ve62S53nshP7\n7SJtLMqnDrwVLcnFHxq2Sc7nLoJBnPy2sSBbNte+OBZpp+NH+ew4P/vG7vAMs6pWllkYAD4+Ps7y\n8jLz8/PMzs5WFtvExASnT5+uBGhtbY35+XkWFhZYX19nfn6e+fl5zpw5s8natQPOg7U2MzNTPU1j\nx1GGJ3WWlpY4efIkIsLc3Fw1wB3uG3AewgRjY2OcPn2a06dPMzc3V732bX19nenpaRYXF6unkE6c\nOFG1//jx45w5c6ayXmdnZ6txpMvLy5w8eZJTp04xPz/PiRMnKqtycXGxelFGeHY8CGXsesN97mQb\nizI3vZMimat70CKWMgq6RN1fQexX1XlV/WpdmcE0K08q/tBQvqfl/SRlKfQimjHW2sgldWy52O0O\n7miILwaxC5bV5ORk9TaexcVF5ufnq6daxsfHq3heGNS9tLTE7Owsqlq55ktLS8nsfXiEcXFxkamp\nqSrTHVzXkJkP7ZuengZgYWGhemQSqF7SEZ7MGR0drfYdBpcHwbLvqJycnOT06dOVgIandkK8MzzO\nGX5Iwo9AyHwHtztY4vFLfOP4cCB+C3rdOU55OG3ikzvNoPa5K4USeLeIfBJ4N/BxVT0DICJfR/FX\nEE8Hfg9458BbuQ26cvDrrIM49thEqkwsTHGMMnwvLS1V8b+5ubkq4xuGBQXLNLjqISMdxDYIXogD\nTk1NbXrbuX3NGWx+H2UQYfuG89zbg8JLdFdWVqr9hfpCXSG7HUTXvmlI9b4X94YsfLAA4zecA5v6\nb98aVCeO1pLMneM2Aplb15Vrd6focn/r3nD+eBF5CvAfgUdL8ZbzNeDzFH8u9hxVvXNnmrl9+nES\n+h28DtTdHClLNFfGEo/ls2VswsFmxO1QniAW9hVkViiDUNj3UNq/VrBtC/sJdQSRsgJoh9UEVzzU\nG/8VhH36JQhb+Ni/l7B/FxGe4Q4Cal8nF+qwf8sbQgLxizBSWe9ehbLu/O8EXb0Xdu2Le3t1c7vM\noERuEOQSPG3Lxa546i1CdhB6yILbPxGzdQWLMlhzVoBCRjmMW0y9OzIQD4LPWZSjo6OMj49v2sbW\nEYQyfAPVGMy691ECZ1mUoZ/h/4Ns/+2QpID9sYl/vOIftbbJmF6G9vSDrd4LbT2erda9Ky1Kp7/k\n4ottt6tzt+10LI7W9bbiGOJ24emW8Cq1IC7B5QyvKAsurup9fy5mX4cWpu1r1mx7gpUYXmRh31Ie\nCAIc/t0x1BvijqG++M/FQhY8dtPtf+aEGGsYAhSesAlvOA9CGWKgYThQCD8EazhYnHESx1qTtq1t\nLcperolhCcqgjQ0XSqei7cXWJKxt4pS5dbF4BisvWFTBQrRWaLBEQ1wQ2JSAsWXs/q0VGvZlX5gR\nbw/3xTOtS2xjlKHdYd7WHdYHi9K+6zJ+Fj7ESe2PSJgOnyCO8dCr1DnaqRu9Lgyzm+lyX+qy3tcB\n/0lVv7Jzzdm75JI5OeFsKm+XpzKl1l21sbT4sTtblxWQ8OROEIuQiLEvrA1DjOwA72AhprLeNvtu\nY5RWKG3sM1ixYX+hvjhGaQd/xzFK2/bl5eWqjfavHoIgh5eIbGxssLS0VCV07FM5bf4OYjvJnLhc\nG9d9r9DlPtZZlP8TeK+IvBV4je6Bv6atE6lBxl/qyF0cOZc7FshcHXZMpbUS7f/chHJB5GwyIyQx\ncv+ZExI+QSysAMJm1zsIV6jLZr1Tfy4WRA7y/+sdyoZ2BXG3x8tawCMjI5Ww25fu2r7ZrHf4xP+Z\nEydzmrLeTed5O+t2irY/7tvdx65M5qjqn4rIe4BfAW4UkT/E/BWEqr52B9q3bXq5CHfSdWqKV9bd\ndDliNzB2t21sLYhmcDFDhjuUC6IQXNGwPAhuuLDDa8ds3DDua2ibtQbj9zZatzaIKlC1NdW38G3j\nnTaZE/YT+hCE3lrOob3hOIRtrQUZfhBiKzI3RnI7VmTTue0Cg2pLl/oY0xSjXKF4e9AkcIBd+J85\nXaTX4SNt6rG0iV9aazPOkoe6U2Jel9VtY2k0ZYe3Um9dnVaEU0ORbB/tfuxjiHa6X261czZdPnZ1\nMcorgNdS/AXEw1V1Ycda5TTSJB65jLj92ORHnIQJ1lMoB/eJp7UEbQLGWn65NtnxnSmLMlVvTvit\neFnr0S6LY5v2OFihDMchbGvd69iSDGVi6kQ9toids+nycamzKF8K/JA2PEvt9E4b17uXunLLUgIZ\nZ7FDNjg8CRPa1tb1toPP++F6W6EMbnUb1zvOyMfiGZ57r3O9bcY853pblzt2vVMimDrPbc95bCHv\ndbrcx7oY5WN2siF7kbobYjsCmds2vhnbCGUYWhP+Y8cKj338LyxXve+NQGG8oxVK++ikJQhUELMQ\nh7TCagXYDg+KM/WpJ3PCvq2w2P/8toksO0zJvmwjxCjtNrH7boU71cdY2FLnqq0gtBXXLgtMW6y1\n3kX2/DjKnXZ1BpERbFN/3fKmjx0jGCzIcNPbsYfWdY2/Q5lchtSKjc2IW9GJxT0uY+fj9XHdcZ2p\nbeIydv/W6o3blbMg69YNEnvud1ps+tnPXZn13ivs9IVTl2Dph7sd35jx8tSyWBDC8vhdicGSirPe\ndnkcvwvb23cy2v6mXG87djJ2vUM7bNbbJlNyrndwl3Outx3/abP/1o2Oy9rhQHb8ZGhzLmY56CRP\nlyyvvdqvmD0vlF2h6UZqS5P1YEXElo8Fy44vDAO7rZC2SeZYQetqMseOJ7Ux1rAudrNDvfHA8jaD\ny3PnJEeXhWEYdPl4uFDuMtpcTHXuX5z5TU3HVlIu7payGNu0LWdtxmXa1ltXZ1PcMPWDkhLDlOUY\n1+FsHY9ROkMj5aZbAckJS5iPl6Xq3Yql3MZd7bXeujrbWH3xcUltvx3r0Wmmy8fThXIX0sZyS2VM\n4+RGahxlL6537CK3db3bDg8K9cZ9ia1FW2fseof2hIx7qCOUt+tj1zsch/gtQXUWZi+i7mymy8fF\nhbKjxG5j221S86kMcWo8ZSyUIZljH22Es4fxhHaG6br2xTFBoCehjI9PmLbjKK34pYb6xDFK4Kz+\nx/HU0F9LyuJukwWO+9NlgdhJPOvt1JKLx7UVyZyQhO94OjXgPLw5x2amQ3k7vlL1vnGUcXY6NeA8\nbpP9C4g2FqUdRB7qiC1K+7q0ugHngZxQ2v6Heu0PBzTfzKl4axO585wLfexFPEbpNBLH1XqxIu32\nqe1SCZhw49vyQQStUFqRslnjUI+1uOLhNoH4R8AKjnVjY6GMy9t+pFxvW2eqn2Ha1m9/EOI2tsl6\n23ZtN8kT928rdex2utxXF8oO0vaC6cWFi8UotsjiGF3bGGV4rVouRpkSITvYO+e2hu3ietvGKOP6\neo1RWnFMxSjj4910ztqe0y6LxaDpct9dKHcxuQsrZZXEMU/rYtqP3caKk7X2UqGCtpZwm3K91pvq\nX4y1POP+2GUBa8nGlqrdb6otztbo8rFzodyDtLmBc4mfeJs6kdpKmGDYpGKIdTHCunmnf6SSZV3C\nhXIPUWdN2en4Ez/PDJtjkOETP+u9HYuybtt+WJTxsq1YlDaWGcc+w3RTu5z29Ot4SfGKyNcBo8Dv\nq+qrMuV+AHgn8G9V9ca6Ol0odzF1ApLKnucE0o6ntAJihwOlhDLEBmFzljnVtli4cjFKWzbeLpTJ\nxShTVnMslKGdNhZp+5iKUYZ2NMWA686Bi2Yz/ThGIjIKvBF4InAbcIOIXKuqN0flDgA/BXysTb0u\nlLuMNlZbTiTDdyyWYahQLBShvM1822SOXWfftFPXrkEMOLfJGSuwqeFBYXks6rFQBuIfjZg4+VQX\nN85t6xT06Xg8ArhFVb8EICLXAFcCN0fl/gvwauDn21Sa/7d6pxPEAte2fDydqisWS2tZxq9ey83H\nrzirqzNXX2q73D7afnLWclx/m3bYT9tj3Pbc9lJ+rxOPLMh9gKMicqP5XGWquRi41czfVi6rEJGH\nAw9Q1b9s2za3KDtOUzws5eLW1RVbZHbMpK2r7fCgMOTGPuqXI3aTU653bKFt9RHGVH11Mcr4SSEb\nm2x6tVobS8itx3qaQhsR96rq5VvZj4iMUPzFzXN72W4oQikiPwS8HPgm4BE2kCoiLwGeD6wDP6mq\n15fLWwVozzXaXlyxAKWEI3Yf423CMlsuNd3UjqZy/Ujm5Mql+hOWpfofi6Ndn5t3tkafst63Aw8w\n85eUywIHgIcCHyrP9/2Aa0XkaXUJnWFZlDcB3w/8rl0oIg8BngF8M3B/4P0i8o3l6sYArbOZ1A1c\nl0RxzsZFcefo07G9AbhMRB5MIZDPAJ5l9jEHHA3zIvIh4Oc6mfVW1c9B8ga9ErhGVZeBL4vILRTB\nWWgXoHVofvY7fMcxvbA8tqKsq2qxbrjdtq5dbW+G2LqrI25H3b5TiaOwPl4eJ3KaLMum5U49/Thu\nqromIi8CrqfwPt+sqp8VkVcAN6rqtVupt2sxyouBj5p5G4iNA7SPTFVQBnavSq3by+SswjhmZ4Uy\nlcgIBIFIuaQ2fmjjl6kYo60vFV9MWbYp1zsW46a64rIh1BDm7RuQ4tBD6FtYnxLh3D7jvrtotqPH\nGGVTXdcB10XLXpYp+7g2dQ5MKEXk/RT+f8xLVfXdg9qvql4NXF22YU9epW1c5VRmNrYgbfbX/q+3\ntaTsNqlxlOFNQm2sulB3HE+MY4uhrrCPpv6GdqRecJESyngcZWxVh+VBJO2z3jaOlmp33XmoK+d0\n+7gMTChV9Qlb2KwuEFsXoD2nyFltvdZhkxZWMKxQWOsrFkQrHPFbfgKxcMUWmv22Fpqtt+mlGHF7\nU/204yZtljy13m6XSujkYr9Nx9upp8uPMHZtHOW1wDNEZLIMxl4G/AMmQCsiExQB2i3FGs5FUqIU\n3/gpQajbPlWPXWfn6/ZXV2+qzqZt6/bZpi+paWfw5H6Ymq7NnWJYw4O+D/gfwAXAX4rIJ1X1e7QI\nur6DIkmzBrxQVdfLbc4K0A6j7V1iKxeNdZ9T7nWoN3xyMcrYqo0twpx7nfoODCpGGU/n5u3yJmsy\nd+xdWLdOl4/dsLLe7wLelVn3a8CvJZa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      "text/plain": [
       "<matplotlib.figure.Figure at 0x128dbcf60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Display one wavefront (i=..) in the stack\n",
    "ImshowAbs(i=1)*w"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of modes in the probe: 3\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/vincent/dev/py35-env/lib/python3.5/site-packages/matplotlib/cbook.py:136: MatplotlibDeprecationWarning: The axisbg attribute was deprecated in version 2.0. Use facecolor instead.\n",
      "  warnings.warn(message, mplDeprecation, stacklevel=1)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x12881e9e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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LBPOgXEJM5sdnk0DrBgHuhk7cR8xKJ1HEg4Y11tTH3VNyXRQ7hVnnOMWG2TJF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5A87v4jM3/gUucyEAgE5nBZiZmIfhjA55DU4McBnAHwGL7356/CjTcjOcFdFNuFvD2FZFl+EYCX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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x123499550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x123499668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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FLvtcZvQxZAAsRZ9g1ovgIKLReaO7je83wi5f041EZ8VEL+tDNE9P7VNVzXSD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\nxcygxKxQKBQzw/8Dfoic8T9WaQsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x12bbe51d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Load one wavefront from a previous ptychography experiment, propagate all modes\n",
    "d = np.load('data/201606id01-FZP-S0013-result.npz')\n",
    "w = Wavefront(d=np.fft.fftshift(d['probe']), pixel_size=d['pixelsize'], wavelength=1.5e-10)\n",
    "print(\"Number of modes in the probe:\", len(w.get()))\n",
    "figure()\n",
    "w = ImshowRGBA(i=1) * w  # For some reason in this file the strongest mode is #1\n",
    "figure()\n",
    "w = ImshowRGBA(i=1) * PropagateNearField(-200e-6) * w"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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",
       "        this.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 overriden (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",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\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=\"432\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/vincent/dev/py35-env/lib/python3.5/site-packages/matplotlib/backend_bases.py:2453: MatplotlibDeprecationWarning: Using default event loop until function specific to this GUI is implemented\n",
      "  warnings.warn(str, mplDeprecation)\n",
      "/Users/vincent/dev/py35-env/lib/python3.5/site-packages/matplotlib/cbook.py:136: MatplotlibDeprecationWarning: The axisbg attribute was deprecated in version 2.0. Use facecolor instead.\n",
      "  warnings.warn(message, mplDeprecation, stacklevel=1)\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",
       "        this.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 overriden (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",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\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=\"432\">"
      ],
      "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",
       "        this.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 overriden (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",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\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"
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     "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",
       "        this.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 overriden (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",
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   "source": [
    "# Activate live display\n",
    "%matplotlib notebook\n",
    "# Near field propagation of a simple 40x200 microns slit, displaying the propagated wavefront by steps\n",
    "# of 0.2 m propagation\n",
    "w = Wavefront(d=np.zeros((512, 512), dtype=np.complex64), pixel_size=1e-6, wavelength=1.5e-10)\n",
    "a = 40e-6 / 2\n",
    "x, y = w.get_x_y()\n",
    "w.set((abs(y) < a) * (abs(x) < 100e-6))\n",
    "# Perform 15 near field propagation of 0.2m steps, displaying the complex wavefront each time\n",
    "# the **15 expression allows to repeat the series of operators 15 times.\n",
    "w = ImshowRGBA(fig_num=1) * PropagateNearField(2) * w\n",
    "\n",
    "w = Wavefront(d=np.zeros((512, 512), dtype=np.complex64), pixel_size=1e-6, wavelength=1.5e-10)\n",
    "w.set((abs(y) < a) * (abs(x) < 100e-6))\n",
    "# Perform 15 near field propagation of 0.2m steps, displaying the complex wavefront each time\n",
    "# the **15 expression allows to repeat the series of operators 15 times.\n",
    "w = ImshowRGBA(fig_num=2) * PropagateFRT(2) * w"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
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   },
   "outputs": [],
   "source": []
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