recon_demo.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-31T01:35:35.388919Z",
     "start_time": "2020-07-31T01:35:35.366184Z"
    }
   },
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-31T01:35:37.122766Z",
     "start_time": "2020-07-31T01:35:35.391804Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Currently using GPU 1\n"
     ]
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import torch\n",
    "\n",
    "import util.data_proc as dp\n",
    "import util.im_stats as imstat\n",
    "import util.pipeline as pipe\n",
    "\n",
    "import h5py\n",
    "\n",
    "from sigpy.plot import ImagePlot, LinePlot\n",
    "\n",
    "plt.rcParams['savefig.dpi']=300\n",
    "\n",
    "# print(\"Num GPUs: {}\".format(torch.cuda.device_count()))\n",
    "torch.cuda.set_device(0)\n",
    "print(\"Currently using GPU {}\".format(torch.cuda.current_device()))\n",
    "\n",
    "pre_run = True # Determines whether to use saved results or to rerun the network\n",
    "acc_8 = True # Determines whether to run/display results for an acceleration factor of 8 (True) or 4 (False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-31T01:35:37.151247Z",
     "start_time": "2020-07-31T01:35:37.125870Z"
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-31T01:35:38.194470Z",
     "start_time": "2020-07-31T01:35:37.153301Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data shape (# Slices, # Coils, H, W): (44, 15, 640, 368)\n",
      "Mask shape: (640, 368)\n"
     ]
    }
   ],
   "source": [
    "raw_file_path = \"data/raw/fastmri/\"\n",
    "data_file = raw_file_path+\"train/file1001999.h5\" #Train\n",
    "if acc_8:\n",
    "    mask_file = raw_file_path+\"test/file1000082.h5\" #8x mask Test\n",
    "else:\n",
    "    mask_file = raw_file_path+\"test/file1001187.h5\" #4x mask Test\n",
    "\n",
    "f1 = h5py.File(data_file, 'r')\n",
    "f2 = h5py.File(mask_file, 'r')\n",
    "\n",
    "# Get the data\n",
    "ksp_data = np.array(f1[list(f1.keys())[1]])\n",
    "\n",
    "recon_gt = np.array(f1[list(f1.keys())[2]])\n",
    "\n",
    "mask = np.array(f2[list(f2.keys())[2]])\n",
    "\n",
    "#The provided mask and data has last dim of 368, but the actual data is smaller (both are zero padded). However, to prevent forcing the network to learn outside the actual data region, we force the mask to 0 there\n",
    "w = 330\n",
    "assert w%2 == 0\n",
    "mask[:mask.shape[-1]//2-w//2] = 0 \n",
    "mask[mask.shape[-1]//2+w//2:] =0\n",
    "mask = np.repeat(mask[None,:], ksp_data.shape[2], axis=0).astype(int) # Turning 1D Mask into 2D that matches data dimensions\n",
    "mask = np.pad(mask,((0,),((ksp_data.shape[-1]-mask.shape[-1])//2,)),mode='constant') # Zero padding to make sure dimensions match up\n",
    "\n",
    "print(\"Data shape (# Slices, # Coils, H, W): {}\\nMask shape: {}\".format(ksp_data.shape, mask.shape))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-31T01:35:38.581997Z",
     "start_time": "2020-07-31T01:35:38.196625Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
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       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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KKOAVYDLmFUxESBAgAABAgQIECBAIDsBBcDsLPVEgAABAgQIECBAgAABAgQIECBAIHcCCoC5S4kBEaiGgFlr1cizKAkQIECAAAECBAgQIECg/QIKgO3PgREQIECAAAECBAgQIECAAAECBAgQaJqAAmDTaHWcR4E//OEP4W//9m/DLrvsEnbaaadwyCGHhAceeKA+1LiYwty5c8Po0aPD4MGDwzHHHBMefvjh+vm4s3bt2jB9+vQwfPjw5BP3n3322U5t/CBAgAABAgQIECBAgAABAgQI5EVAATAvmTCOpgvEwt1RRx0VBgwYEG6//fbwyCOPhMsvvzz8xV/8Rf3el112WZg/f35YsGBBuP/++8OoUaPCCSecEDZs2FBvM23atLBixYqwaNGi5BP3YxHQtn0CVq7dPi+tCRAgQIAAAQIECBAgQIDAaxXo/1ovdB2Bogl8/vOfD2PGjAnXX399feh77713fT8WpK688spw8cUXh/e85z3J8RtvvDGMHDky3HTTTeHss88Ov/71r5Oi3/Lly8MRRxyRtLn22mvDhAkTwqOPPhr23Xffen92CBAgQIAAAQIECBAgQIAAAQJ5EDADMA9ZMIaWCHz/+98Phx12WHjve98bdt9993DooYeGWLxLt8ceeyysXr06TJo0KT0UBg0aFI4++uiwdOnS5NiyZcuSx37T4l88eOSRRybH0jb1i+0QIECAAAECBAgQIECAAAECBHIgoACYgyQYQmsEfvvb34arr7467LPPPuFHP/pROOecc8LMmTPDN77xjWQAsfgXtzjjr3GLv9Nz8TsWD7tu8Vjapuu5zZs3h/Xr13f6dG1Txd9WAa5i1sVMgAABAgQIECBAgAABAu0Q8AhwO9Tdsy0CL7/8cjID8NJLL03uH2cAxgU+YlHw7/7u7+pj6lqYio8GNx5r3E8v6tomPR6/582bFy655JLGQ/YJZCrgfYqZcuqMAAECBAgQIECAAAECpRMwA7B0KRVQTwJ77LFH2H///Tud3m+//cLKlSuTY3HBj7h1ncm3Zs2a+qzA2ObJJ59M2jX+46mnnqq3aTwe9+fMmRPWrVtX/6xataprk0r+VrTKLu3dFaWz611PBAgQIECAAAECBAgQIFB0AQXAomfQ+HstEFcAjgt1NG7/8z//E/baa6/k0Lhx45JVf5csWVJvsmXLlnD33XeHiRMnJsfiYh+xmHfffffV29x7773JsbRN/cQrO/E9gsOGDev06drGbwIECBAgQIAAAQIECBAgQIBAswQ8AtwsWf3mTuAf/uEfkkJefAT41FNPTYp4X/va10L8xC3Oopo1a1aI5+N7AuMn7u+0005h2rRpSZs4Y/Ckk04KZ555ZrjmmmuSY2eddVaYPHmyFYATjd7/w6y13ltpSYAAAQIECBAgQIAAAQIE+iKgANgXPdcWSuDwww8Pt956a/JI7qc//ekQZ/xdeeWV4bTTTqvH8fGPfzxs2rQpnHvuuWHt2rUhrva7ePHiMHTo0Hqbb33rW8niIelqwVOnTg0LFiyon7dDgAABAgQIECBAgAABAgQIEMiTgAJgnrJhLE0XiDP14qenLc5Kmzt3bvLpqc2IESPCwoULezrteC8FvAOwl1CaESBAgAABAgQIECBAgACBPgp4B2AfAV1OgAABAgQIECBAgAABAgQIECBAIM8CCoB5zo6xESixgHcAZpdcsymzs9QTAQIECBAgQIAAAQIEyiigAFjGrIqJQAEEFK0KkCRDJECAAAECBAgQIECAAIFSCCgAliKNgiBQPAEzALPLGcvsLPVEgAABAgQIECBAgACBMgooAJYxq2IiUAABMwCzSxLL7Cz1RIAAAQIECBAgQIAAgTIKKACWMatiIlAAAbPWCpAkQyRAgAABAgQIECBAgACBUggoAJYijYIgQKDKAoqpVc6+2AkQIECAAAECBAgQILBtAQXAbRtpQYAAgVwLeAQ41+kxOAIECBAgQIAAAQIECLRdQAGw7SkwAALVFFC0qmbeRU2AAAECBAgQIECAAAECrRdQAGy9uTsSIEAgUwGPAGfKqTMCBAgQIECAAAECBAiUTkABsHQpFRCBYggoWhUjT0ZJgAABAgQIECBAgAABAsUXUAAsfg5FQIAAAQIECBAgQIAAAQIECBAgQKBHAQXAHmmcIECAAAECBAgQIECAAAECBAgQIFB8AQXA4udQBAQIECBAgAABAgQIECBAgAABAgR6FFAA7JHGCQIECBAgQIAAAQIECBAgQIAAAQLFF1AALH4ORUCAQMUFarVaxQWET4AAAQIECBAgQIAAAQKvJqAA+Go6zhEgQKAAAlZULkCSDJEAAQIECBAgQIAAAQJtFFAAbCO+WxMgQIAAAQIECBAgQIAAAQIECBBotoACYLOF9U+AAAECBAgQIECAAAECBAgQIECgjQIKgG3Ed2sCBAgQIECAAAECBAgQIECAAAECzRZQAGy2sP4JECBAgAABAgQIECBAgAABAgQItFFAAbCN+G5NoMoCVq7NLvsss7PUEwECBAgQIECAAAECBMoooABYxqyKiQCBSglYBbhS6RYsAQIECBAgQIAAAQIEtltAAXC7yVxAgAABAgQIECBAgAABAgQIECBAoDgCCoDFyZWREiiVgFlrpUqnYAgQIECAAAECBAgQIEAgxwIKgDlOjqERIECAAAECBAgQIECAAAECBAgQ6KuAAmBfBV1PgAABAgQIECBAgAABAgQIECBAIMcCCoA5To6hESizgJVry5xdsREgQIAAAQIECBAgQIBAngQUAPOUDWMhQIAAAQIECBAgQIAAAQIECBAgkLGAAmDGoLojQIAAAQIECBAgQIAAAQIECBAgkCcBBcA8ZcNYCFRIwCrAFUq2UAkQIECAAAECBAgQIECgrQIKgG3ld3MCBAj0XcD7FPtuqAcCBAgQIECAAAECBAiUWUABsMzZFRuBHAsoWmWXHLMps7PUEwECBAgQIECAAAECBMoooABYxqyKiQABAgQIECBAgAABAgQIECBAgMArAgqA/hQIEGiLgFlrbWF3UwIECBAgQIAAAQIECBCooIACYAWTLmQCBAgQIECAAAECBAgQIECAAIHqCCgAVifXIiWQKwHvAMxVOgyGAAECBAgQIECAAAECBEosoABY4uQKjQABAgQIECBAgAABAgQIECBAgIACoL8BAgTaIuAdgNmxm02ZnaWeCBAgQIAAAQIECBAgUEYBBcAyZlVMBAogoGhVgCQZIgECBAgQIECAAAECBAiUQkABsBRpFASB4gmYAZhdzlhmZ6knAgQIECBAgAABAgQIlFFAAbCMWRUTgQIImAGYXZJYZmepJwIECBAgQIAAAQIECJRRQAGwjFkVE4ECCJi1VoAkGSIBAgQIECBAgAABAgQIlEJAAbAUaRQEAQJVFlBMrXL2xU6AAAECBAgQIECAAIFtCygAbttICwIECORawCPAuU6PwREgQIAAAQIECBAgQKDtAgqAbU+BARCopoCiVTXzLmoCBAgQIECAAAECBAgQaL2AAmDrzd2RAAECmQp4BDhTTp0RIECAAAECBAgQIECgdAIKgKVLqYB6Epg7d26IhZLGz6hRo+rN44y02Gb06NFh8ODB4ZhjjgkPP/xw/XzcWbt2bZg+fXoYPnx48on7zz77bKc2fvROQNGqd05aESBAgAABAgQIECBAgACBvgooAPZV0PWFEnjLW94SnnjiifrnwQcfrI//sssuC/Pnzw8LFiwI999/f4jFwRNOOCFs2LCh3mbatGlhxYoVYdGiRckn7scioI0AAQIECBAgQIAAAQIECBAgkFeB/nkdmHERaIZA//79k8Je177j7L8rr7wyXHzxxeE973lPcvrGG28MI0eODDfddFM4++yzw69//euk6Ld8+fJwxBFHJG2uvfbaMGHChPDoo4+Gfffdt2u3fhMgQIAAAQIECBAgQIAAAQIE2i5gBmDbU2AArRT4zW9+kzziO27cuPD+978//Pa3v01u/9hjj4XVq1eHSZMm1YczaNCgcPTRR4elS5cmx5YtW5Y89psW/+LBI488MjmWtqlf3LCzefPmsH79+k6fhtN2CRAgQIAAAQIECBAgQIAAAQJNFVAAbCqvzvMkEAt33/jGN8KPfvSjEGfuxYLfxIkTw5/+9KdkP441zvhr3OLv2C5u8Xv33XdvPJ3sx2Npm61OdhyYN29e/Z2B8d2BY8aM6a6ZYwQIECBAgAABAgQIECBAgACBpggoADaFVad5FDj55JPD3/zN34QDDzwwHH/88eG2225Lhhkf9U23rgtTxEeDG4817qfXdG2THk+/58yZE9atW1f/rFq1Kj3lm0AmAvFv0EaAAAECBAgQIECAAAECBHoSUADsScbx0gsMGTIkKQbGx4LT1YC7zuRbs2ZNfVZgbPPkk09u5fLUU0/V22x1suNAfJR42LBhnT7dtXOMwGsV6K4w/Vr7ch0BAgQIECBAgAABAgQIlE9AAbB8ORVRLwXiu/niwh577LFHiO8EjAW+JUuW1K/esmVLuPvuu5PHhOPBuNhHnMl333331dvce++9ybH4KLGNAAECBAgQIECAAAECBAgQIJBHAasA5zErxtQUgQsvvDBMmTIljB07NsSZff/yL/+SLMxx+umnJ4/5zpo1K1x66aVhn332ST5xf6eddgrTpk1LxrPffvuFk046KZx55pnhmmuuSY6dddZZYfLkyVYAbkrGdEqAAAECBAgQIECAAAECBAhkIaAAmIWiPgoh8Pjjj4cPfOAD4emnnw677bZbsoLv8uXLw1577ZWM/+Mf/3jYtGlTOPfcc8PatWtDXDRk8eLFYejQofX4vvWtb4WZM2fWVwueOnVqWLBgQf28HQIECBAgQIAAAQIECBAgQIBA3gQUAPOWEeNpmsDNN9/8qn3H96jNnTs3+fTUcMSIEWHhwoU9nXacAAECBAgQIECAAAECBAgQIJA7Ae8AzF1KDIhANQSsXJtdnllmZ6knAgQIECBAgAABAgQIlFFAAbCMWRUTAQKVErAKcKXSLVgCBAgQIECAAAECBAhst4AC4HaTuYAAAQIECBAgQIAAAQIECBAgQIBAcQQUAIuTKyMlUCoBs9ZKlU7BECBAgAABAgQIECBAgECOBRQAc5wcQyNAgAABAgQIECBAgAABAgQIECDQVwEFwL4Kup4AAQIECBAgQIAAAQIECBAgQIBAjgUUAHOcHEMjUGYBK9eWObtiI0CAAAECBAgQIECAAIE8CSgA5ikbxkKAAAECBAgQIECAAAECBAgQIEAgYwEFwIxBdUeAAAECBAgQIECAAAECBAgQIEAgTwIKgHnKhrEQqJCAVYArlGyhEiBAgAABAgQIECBAgEBbBRQA28rv5gQIEOi7gPcp9t1QDwQIECBAgAABAgQIECizgAJgmbMrNgI5FlC0yi45ZlNmZ6knAgQIECBAgAABAgQIlFFAAbCMWRUTAQIECBAgQIAAAQIECBAgQIAAgVcEFAD9KRAg0BYBs9bawu6mBAgQIECAAAECBAgQIFBBAQXACiZdyAQIECBAgAABAgQIECBAgAABAtURUACsTq5FSiBXAt4BmKt0GAwBAgQIECBAgAABAgQIlFhAAbDEyRUaAQIECBAgQIAAAQIECBAgQIAAAQVAfwMECLRFwDsAs2M3mzI7Sz0RIECAAAECBAgQIECgjAIKgGXMqpgIFEBA0aoASTJEAgQIECBAgAABAgQIECiFgAJgKdIoCALFEzADMLucsczOUk8ECBAgQIAAAQIECBAoo4ACYBmzKiYCBRAwAzC7JLHMzlJPBAgQIECAAAECBAgQKKOAAmAZsyomAgUQMGutAEkyRAIECBAgQIAAAQIECBAohYACYCnSKAgCBKosoJha5eyLnQABAgQIECBAgAABAtsWUADctpEWBAgQyLWAR4BznR6DI0CAAAECBAgQIECAQNsFFADbngIDIFBNAUWrauZd1AQIECBAgAABAgQIECDQegEFwNabuyMBAgQyFfAIcKacOiNAgAABAgQIECBAgEDpBBQAS5dSAREohoCiVTHyZJQECBAgQIAAAQIECBAgUHwBBcDi51AEBAgQIECAAAECBAgQIECAAAECBHoUUADskcYJAgQIECBAgAABAgQIECBAgAABAsUXUAAsfg5FQIAAAQIECBAgQIAAAQIECBAgQKBHAQXAHmmcIECAAAECBAgQIECAAAECBAgQIFB8AQXA4udQBAQIVFygVqtVXED4BAgQIECAAAECBAgQIPBqAgqAr6bjHAECBAogYEXlAiTJEAkQIECAAAECBAgQINBGAQXANuK7NQECBAgQIECAAAECBAgQIECAAIFmCygANltY/wQIECBAgAABAgQIECBAgAABAgTaKKAA2EZ8tyZAgAABAgQIECBAgAABAgQIECDQbAEFwGYL658AAQIECBAgQIAAAQIECBAgQIBAGwUUANuI79YEqixg5drsss8yO0s9ESBAgAABAgQIECBAoIwCCoBlzKqYCBColIBVgCuVbsESIECAAAECBAgQIEBguwUUALebzAUECBAgQIAAAQIECBAgQIAAAQIEiiOgAFicXBkpgVIJmLVWqnQKhgABAgQIECBAgAABAgRyLKAAmOPkGBoBAgQIECBAgAABAgQIECBAgACBvgooAPZV0PUECBAgQIAAAQIECBAgQIAAAQIEciygAJjj5BgagTILWLm2zNkVGwECBAgQIECAAAECBAjkSUABME/ZMBYCBAgQIECAAAECBAgQIECAAAECGQsoAGYMqjsCBAgQIECAAAECBAgQIECAAAECeRJQAMxTNoyFQIUErAJcoWQLlQABAgQIECBAgAABAgTaKqAA2FZ+N2+XwLx580IsQM2aNas+hM2bN4fzzz8/7LrrrmHIkCFh6tSp4fHHH6+fjzsrV64MU6ZMSc7HdjNnzgxbtmzp1MYPAq0W8D7FVou7HwECBAgQIECAAAECBIoloABYrHwZbQYC999/f/ja174WDjrooE69xWLgrbfeGm6++eZwzz33hOeeey5Mnjw5vPTSS0m7+H3KKaeEjRs3Judju1tuuSXMnj27Uz9+9E5A0ap3Tr1pZTZlb5S0IUCAAAECBAgQIECAQHUFFACrm/tKRh6Leqeddlq49tprw84771w3WLduXbjuuuvC5ZdfHo4//vhw6KGHhoULF4YHH3ww3HHHHUm7xYsXh0ceeSQ5Hs/HdrF97Gv9+vX1vuwQIECAAAECBAgQIECAAAECBPIkoACYp2wYS9MFzjvvvGQWXyzeNW4PPPBAeOGFF8KkSZPqh0ePHh0OOOCAsHTp0uTYsmXLkt/xeLqdeOKJIT46HK/vaYvnY4Gw8dNT2yodN2utStkWKwECBAgQIECAAAECBAi0U6B/O2/u3gRaKRAf2f3FL34R4iPAXbfVq1eHgQMHdpoVGNuMHDkyxHNxi9/xd+MWZxHG69I2jefS/fi+wUsuuST96ZsAAQIECBAgQIAAAQIECBAg0FIBMwBbyu1m7RJYtWpV+OhHP5o8vrvjjjv2ehjxPXWNM9Ua99NOurZJj6ffc+bMCfER4/QTx2ILwTsA/RUQIECAAAECBAgQIECAAIHWCCgAtsbZXdosEB/RXbNmTRg/fnzo379/8rn77rvDl7/85WQ/zuyLq/muXbu200jjNemsv1GjRm010y+2j48Op206XfzKj0GDBoVhw4Z1+nTXzjECBAgQIECAAAECBAgQIECAQDMEFACboarP3Akcd9xxyYIeK1asCOnnsMMOSxYEib/j/oABA8KSJUvqY3/iiSfCQw89FCZOnJgcmzBhQvI7Hk+3uDBILPDFwqJt+wS6m025fT1onQqYTZlK+CZAgAABAgQIECBAgACB7gS8A7A7FcdKJzB06NBkAY/GwIYMGRJ22WWX+vEZM2aE2bNnJ8dGjBgRLrzwwnDggQcmq/3G6+ICIfvvv3+YPn16+MIXvhCeeeaZpM2ZZ56ZzO5r7Nv+tgUUrbZtpAUBAgQIECBAgAABAgQIEMhCQAEwC0V9lELgiiuuSB4HPvXUU8OmTZtCnDV4ww03hH79+iXxxe/bbrstnHvuueGoo44KgwcPDtOmTQtf/OIXSxF/q4MwAzA78WipoJqdp54IECBAgAABAgQIECBQNgEFwLJlVDy9Frjrrrs6tY2Lg1x11VXJp9OJhh9jx44NP/jBDxqO2H2tAgpWr1Vu6+tYbm3iCAECBAgQIECAAAECBAj8fwHvAPz/FvYIEGihgBmALcR2KwIECBAgQIAAAQIECBCotIACYKXTL3gCBMogoJhahiyKgQABAgQIECBAgAABAs0TUABsnq2eCRAg0BIBjwC3hNlNCBAgQIAAAQIECBAgUFgBBcDCps7ACRRbQNGq2PkzegIECBAgQIAAAQIECBAojoACYHFyZaQECBDoVsAjwN2yOEiAAAECBAgQIECAAAECrwgoAPpTIECgLQKKVm1hd1MCBAgQIECAAAECBAgQqKCAAmAFky5kAgQIECBAgAABAgQIECBAgACB6ggoAFYn1yIlQIAAAQIECBAgQIAAAQIECBCooIACYAWTLmQCBAgQIECAAAECBAgQIECAAIHqCCgAVifXIiVAgAABAgQIECBAgAABAgQIEKiggAJgBZMuZAIEyiVQq9XKFZBoCBAgQIAAAQIECBAgQCBTAQXATDl1RoAAgdYLWFG59ebuSIAAAQIECBAgQIAAgSIJKAAWKVvGSoAAAQIECBAgQIAAAQIECBAgQGA7BRQAtxNMcwIECBAgQIAAAQIECBAgQIAAAQJFElAALFK2jJUAAQIECBAgQIAAAQIECBAgQIDAdgooAG4nmOYECBAgQIAAAQIECBAgQIAAAQIEiiSgAFikbBkrgRIJWLk2u2SyzM5STwQIECBAgAABAgQIECijgAJgGbMqJgIEKiVgFeBKpVuwBAgQIECAAAECBAgQ2G4BBcDtJnMBAQIECBAgQIAAAQIECBAgQIAAgeIIKAAWJ1dGSqBUAmatlSqdgiFAgAABAgQIECBAgACBHAsoAOY4OYZGgAABAgQIECBAgAABAgQIECBAoK8CCoB9FXQ9AQIECBAgQIAAAQIECBAgQIAAgRwLKADmODmGRqDMAlauLXN2xUaAAAECBAgQIECAAAECeRJQAMxTNoyFAAECBAgQIECAAAECBAgQIECAQMYCCoAZg+qOAAECBAgQIECAAAECBAgQIECAQJ4EFADzlA1jIVAhAasAVyjZQiVAgAABAgQIECBAgACBtgooALaV380JECDQdwHvU+y7oR4IECBAgAABAgQIECBQZgEFwDJnV2wEciygaJVdcsymzM5STwQIECBAgAABAgQIECijgAJgGbMqJgIECBAgQIAAAQIECBAgQIAAAQKvCCgA+lMgQKAtAmattYXdTQkQIECAAAECBAgQIECgggIKgBVMupAJECBAgAABAgQIECBAgAABAgSqI6AAWJ1ci5RArgS8AzBX6TAYAgQIECBAgAABAgQIECixgAJgiZMrNAIECBAgQIAAAQIECBAgQIAAAQIKgP4GCBBoi4B3AGbHbjZldpZ6IkCAAAECBAgQIECAQBkFFADLmFUxESiAgKJVAZJkiAQIECBAgAABAgQIECBQCgEFwFKkURAEiidgBmB2OWOZnaWeCBAgQIAAAQIECBAgUEYBBcAyZlVMBAogYAZgdklimZ2lnggQIECAAAECBAgQIFBGAQXAMmZVTAQKIGDWWgGSZIgECBAgQIAAAQIECBAgUAoBBcBSpFEQBAhUWUAxtcrZFzsBAgQIECBAgAABAgS2LaAAuG0jLQgQIJBrAY8A5zo9BkeAAAECBAgQIECAAIG2CygAtj0FBkCgmgKKVtXMu6gJECBAgAABAgQIECBAoPUCCoCtN3dHAgQIZCrgEeBMOXVGgAABAgQIECBAgACB0gkoAJYupQIiUAwBRati5MkoCRAgQIAAAQIECBAgQKD4AgqAxc+hCAgQIECAAAECBAgQIECAAAECBAj0KKAA2CONEwQIECBAgAABAgQIECBAgAABAgSKL6AAWPwcioAAAQIECBAgQIAAAQIECBAgQIBAjwIKgD3SOFE2gauvvjocdNBBYdiwYclnwoQJ4fbbb6+HuXnz5nD++eeHXXfdNQwZMiRMnTo1PP744/XzcWflypVhypQpyfnYbubMmWHLli2d2vhBgAABAgQIECBAgAABAgQIEMiTgAJgnrJhLE0V2HPPPcPnPve58POf/zz5HHvsseFd73pXePjhh5P7zpo1K9x6663h5ptvDvfcc0947rnnwuTJk8NLL72UnI/fp5xySti4cWNyPra75ZZbwuzZs5s6bp0T2JZArVbbVhPnCRAgQIAAAQIECBAgQKDCAv0rHLvQKyYQZ+41bp/97GdDnBW4fPnyEIuD1113XfjmN78Zjj/++KTZwoULw5gxY8Idd9wRTjzxxLB48eLwyCOPhFWrVoXRo0cnbS6//PJwxhlnhNhXnFloI9AOgbiisiJgO+TdkwABAgQIECBAgAABAsUQMAOwGHkyyowF4my+OIMvzuaLjwI/8MAD4YUXXgiTJk2q3ykW+Q444ICwdOnS5NiyZcuS32nxLx6MhcH46HC83kaAAAECBAgQIECAAAECBAgQyKOAGYB5zIoxNU3gwQcfTAp+zz//fHj961+fPPK7//77hxUrVoSBAweGnXfeudO9R44cGVavXp0ci9/xd+MW28fr0jaN59L9WCCMn3Rbv359uuubAAECBAgQIECAAAECBAgQINB0ATMAm07sBnkS2HfffZNiX3zs98Mf/nA4/fTTk8d6expjfKwyPl6Zbo376bGubdLj6fe8efPC8OHD65/4WLGNAAECBAgQIECAAAECBAgQINAqAQXAVkm7Ty4E4my9N73pTeGwww4LsTB38MEHhy996Uth1KhRyWq+a9eu7TTONWvW1Gf9xTZdZ/rF9vHR4a4zAxs7mTNnTli3bl39E98haCNAgAABAgQIECBAgAABAgQItEpAAbBV0u6TS4E4ey8+njt+/PgwYMCAsGTJkvo4n3jiifDQQw+FiRMnJsfiuwLj73g83eLCIIMGDUquT491/Y7n4wIhjZ+ubar426IV2WWdZXaWeiJAgAABAgQIECBAgEAZBbwDsIxZFVO3Ap/4xCfCySefnKzsu2HDhmQRkLvuuissWrQoeTx3xowZYfbs2WGXXXYJI0aMCBdeeGE48MAD66sCxwVC4vsCp0+fHr7whS+EZ555Jmlz5plnWgG4W3EHWyVgFeBWSbsPAQIECBAgQIAAAQIEiimgAFjMvBn1axB48sknk+JdnMEX38l30EEHJcW/E044IentiiuuCP379w+nnnpq2LRpUzjuuOPCDTfcEPr165ecj9+33XZbOPfcc8NRRx0VBg8eHKZNmxa++MUvvobRuIQAAQIECBAgQIAAAQIECBAg0BoBBcDWOLtLDgSuu+66Vx3FjjvuGK666qrk01PDsWPHhh/84Ac9nXZ8OwS6W1BlOy7XlAABAgQIECBAgAABAgQIEOilgHcA9hJKMwIECBAgQIAAAQIECBAgQIAAAQJFFFAALGLWjJkAAQIECBAgQIAAAQIECBAgQIBALwUUAHsJpRkBAtkKWLk2W0+9ESBAgAABAgQIECBAgACBngQUAHuScZwAAQIECBAgQIAAAQIECBAgQIBACQQUAEuQRCEQIECAAAECBAgQIECAAAECBAgQ6ElAAbAnGccJEGiqgFWAm8qrcwIECBAgQIAAAQIECBAgUBdQAKxT2CFAgEAxBbxPsZh5M2oCBAgQIECAAAECBAi0SkABsFXS7kOAQCcBRatOHH36YTZln/hcTIAAAQIECBAgQIAAgdILKACWPsUCJECAAAECBAgQIECAAAECBAgQqLKAAmCVsy92Am0UMGutjfhuTYAAAQIECBAgQIAAAQKVElAArFS6BUuAAAECBAgQIECAAAECBAgQIFA1AQXAqmVcvARyIuAdgDlJhGEQIECAAAECBAgQIECAQOkFFABLn2IBEiBAgAABAgQIECBAgAABAgQIVFlAAbDK2Rc7gTYKeAdgdvhmU2ZnqScCBAgQIECAAAECBAiUUUABsIxZFROBAggoWhUgSYZIgAABAgQIECBAgAABAqUQUAAsRRoFQaB4AmYAZpczltlZ6okAAQIECBAgQIAAAQJlFFAALGNWxUSgAAJmAGaXJJbZWeqJAAECBAgQIECAAAECZRRQACxjVsVEoAACZq0VIEmGSIAAAQIECBAgQIAAAQKlEFAALEUaBUGAQJUFFFOrnH2xEyBAgAABAgQIECBAYNsCCoDbNtKCAAECuRbwCHCu02NwBAgQIECAAAECBAgQaLuAAmDbU2AABKopoGhVzbyLmgABAgQIECBAgAABAgRaL6AA2HpzdyRAgECmAh4BzpRTZwQIECBAgAABAgQIECidgAJg6VIqIALFEFC0KkaejJIAAQIECBAgQIAAAQIEii+gAFj8HIqAAAECBAgQIECAAAECBAgQIECAQI8CCoA90jhBgAABAgQIECBAgAABAgQIECBAoPgCCoDFz6EICBAgQIAAAQIECBAgQIAAAQIECPQooADYI40TBAgQIECAAAECBAgQIECAAAECBIovoABY/ByKgACBigvUarWKCwifAAECBAgQIECAAAECBF5NQAHw1XScI0CAQAEErKhcgCQZIgECBAgQIECAAAECBNoooADYRny3JkCAAAECBAgQIECAAAECBAgQINBsAQXAZgvrnwABAgQIECBAgAABAgQIECBAgEAbBRQA24jv1gQIECBAgAABAgQIECBAgAABAgSaLaAA2Gxh/RMgQIAAAQIECBAgQIAAAQIECBBoo4ACYBvx3ZpAlQWsXJtd9llmZ6knAgQIECBAgAABAgQIlFFAAbCMWRUTAQKVErAKcKXSLVgCBAgQIECAAAECBAhst4AC4HaTuYAAAQIECBAgQIAAAQIECBAgQIBAcQQUAIuTKyMlUCoBs9ZKlU7BECBAgAABAgQIECBAgECOBRQAc5wcQyNAgAABAgQIECBAgAABAgQIECDQVwEFwL4Kup4AAQIECBAgQIAAAQIECBAgQIBAjgUUAHOcHEMjUGYBK9eWObtiI0CAAAECBAgQIECAAIE8CSgA5ikbxkKAAAECBAgQIECAAAECBAgQIEAgYwEFwIxBdUeAAAECBAgQIECAAAECBAgQIEAgTwIKgHnKhrEQqJCAVYArlGyhEiBAgAABAgQIECBAgEBbBRQA28rv5gQIEOi7gPcp9t1QDwQIECBAgAABAgQIECizgAJgmbMrNgI5FlC0yi45ZlNmZ6knAgQIECBAgAABAgQIlFFAAbCMWRUTAQIECBAgQIAAAQIECBAgQIAAgVcEFAD9KRAg0BYBs9bawu6mBAgQIECAAAECBAgQIFBBAQXACia9qiHPmzcvHH744WHo0KFh9913D+9+97vDo48+2olj8+bN4fzzzw+77rprGDJkSJg6dWp4/PHHO7VZuXJlmDJlSnI+tps5c2bYsmVLpzZ+ECBAgAABAgQIECBAgAABAgTyIqAAmJdMGEfTBe6+++5w3nnnheXLl4clS5aEF198MUyaNCls3Lixfu9Zs2aFW2+9Ndx8883hnnvuCc8991yYPHlyeOmll5I28fuUU05JronnY7tbbrklzJ49u96Hnd4JeAdg75y0IkCAAAECBAgQIECAAAECfRXo39cOXE+gKAKLFi3qNNTrr78+mQn4wAMPhHe84x1h3bp14brrrgvf/OY3w/HHH5+0XbhwYRgzZky44447woknnhgWL14cHnnkkbBq1aowevTopM3ll18ezjjjjPDZz342DBs2rNM9/CBAgAABAgQIECBAgAABAgQItFvADMB2Z8D92yYQC35xGzFiRPIdC4EvvPBCMiswOdDxj1jkO+CAA8LSpUuTQ8uWLUt+p8W/eDAWBuOjw/F6W+8FvAOw91bbamk25baEnCdAgAABAgQIECBAgEC1BcwArHb+Kxt9LJhccMEF4W1ve1tS0IsQq1evDgMHDgw777xzJ5eRI0cm59I28XfjFtvH6+L13W2xOBg/6bZ+/fp0t9LfilaVTr/gCRAgQIAAAQIECBAgQKCFAmYAthDbrfIj8JGPfCT86le/Ct/+9re3OahYqGqcrda4n17ctU16PH7HxUeGDx9e/8RHim2hkymPvgl09zfZtx5dTYAAAQIECBAgQIAAAQJlElAALFM2xdIrgbjK7/e///3w4x//OOy55571a0aNGpWs5rt27dr6sbizZs2akM76i226zvSL7eOjw2mbThd3/JgzZ07yfsH4yHH8xPcH2kIwAzC7vwKW2VnqiQABAgQIECBAgAABAmUUUAAsY1bF1K1ALJLEmX/f/e53w5133hnGjRvXqd348ePDgAEDkhWC0xNPPPFEeOihh8LEiROTQxMmTEh+x+PpFhcGGTRoUIjXd7fFc3FxkMZPd+2qdsystaplXLwECBAgQIAAAQIECBAg0C4B7wBsl7z7tlzgvPPOCzfddFP4r//6rzB06ND6TL74eO7gwYOTR3RnzJgRZs+eHXbZZZdkcZALL7wwHHjggfVVgSdNmhT233//MH369PCFL3whPPPMMyG2OfPMM60A3PKMumEqEIupZgGmGr4JECBAgAABAgQIECBAoKuAAmBXEb9LK3D11VcnsR1zzDGdYrz++uvDGWeckRy74oorQv/+/cOpp54aNm3aFI477rhwww03hH79+iXn4/dtt90Wzj333HDUUUclhcNp06aFL37xi5369INAKwUU/1qp7V4ECBAgQIAAAQIECBAonoACYPFyZsSvUaA3RZIdd9wxXHXVVcmnp9uMHTs2/OAHP+jptOO9FOhNPnrZlWYECBAgQIAAAQIECBAgQIDAqwh4B+Cr4DhFgACBIgh4n2IRsmSMBAgQIECAAAECBAgQaJ+AAmD77N2ZQKUFFK0qnX7BEyBAgAABAgQIECBAgEALBRQAW4jtVgQIECBAgAABAgQIECBAgAABAgRaLaAA2Gpx9yNAgAABAgQIECBAgAABAgQIECDQQgEFwBZiuxUBAgQIECBAgAABAgQIECBAgACBVgsoALZa3P0IECBAgAABAgQIECBAgAABAgQItFBAAbCF2G5FgACBZgjUarVmdKtPAgQIECBAgAABAgQIECiJgAJgSRIpDAIEqitgReXq5l7kBAgQIECAAAECBAgQ6I2AAmBvlLQhQIAAAQIECBAgQIAAAQIECBAgUFABBcCCJs6wCRAgQIAAAQIECBAgQIAAAQIECPRGQAGwN0raECBAgAABAgQIECBAgAABAgQIECiogAJgQRNn2AQIECBAgAABAgQIECBAgAABAgR6I6AA2BslbQgQyFzAyrXZkbLMzlJPBAgQIECAAAECBAgQKKOAAmAZsyomAgQqJWAV4EqlW7AECBAgQIAAAQIECBDYbgEFwO0mcwEBAgQIECBAgAABAgQIECBAgACB4ggoABYnV0ZKoFQCZq2VKp2CIUCAAAECBAgQIECAAIEcCygA5jg5hkaAAAECBAgQIECAAAECBAgQIECgrwIKgH0VdD0BAgQIECBAgAABAgQIECBAgACBHAsoAOY4OYZGoMwCVq4tc3bFRoAAAQIECBAgQIAAAQJ5ElAAzFM2jIUAAQIECBAgQIAAAQIECBAgQIBAxgIKgBmD6o4AAQIECBAgQIAAAQIECBAgQIBAngQUAPOUDWMhUCEBqwBXKNlCJUCAAAECBAgQIECAAIG2CigAtpXfzQkQINB3Ae9T7LuhHggQIECAAAECBAgQIFBmAQXAMmdXbARyLKBolV1yzKbMzlJPBAgQIECAAAECBAgQKKOAAmAZsyomAgQIECBAgAABAgQIECBAgAABAq8IKAD6UyBAoC0CZq21hd1NCRAgQIAAAQIECBAgQKCCAgqAFUy6kAkQIECAAAECBAgQIECAAAECBKojoABYnVyLlECuBLwDMFfpMBgCBAgQIECAAAECBAgQKLGAAmCJkys0AgQIECBAgAABAgQIECBAgAABAgqA/gYIEGiLgHcAZsduNmV2lnoiQIAAAQIECBAgQIBAGQUUAMuYVTERKICAolUBkmSIBAgQIECAAAECBAgQIFAKAQXAUqRREASKJ2AGYHY5Y5mdpZ4IECBAgAABAgQIECBQRgEFwDJmVUwECiBgBmB2SWKZnaWeCBAgQIAAAQIECBAgUEYBBcAyZlVMBAogYNZaAZJkiAQIECBAgAABAgQIECBQCgEFwFKkURAECFRZQDG1ytkXOwECBAgQIECAAAECBLYtoAC4bSMtCBAgkGsBjwDnOj0GR4AAAQIECBAgQIAAgbYLKAC2PQUGQKCaAopW1cy7qAkQIECAAAECBAgQIECg9QIKgK03d0cCBAhkKuAR4Ew5dUaAAAECBAgQIECAAIHSCSgAli6lAiJQDAFFq2LkySgJECBAgAABAgQIECBAoPgCCoDFz6EICBAgQIAAAQIECBAgQIAAAQIECPQooADYI40TBAgQIECAAAECBAgQIECAAAECBIovoABY/ByKgAABAgQIECBAgAABAgQIECBAgECPAgqAPdI4QYAAAQIECBAgQIAAAQIECBAgQKD4AgqAxc+hCAgQqLhArVaruIDwCRAgQIAAAQIECBAgQODVBBQAX03HOQIECBRAwIrKBUiSIRIgQIAAAQIECBAgQKCNAgqAbcR3awIECBAgQIAAAQIECBAgQIAAAQLNFlAAbLaw/gkQIECAAAECBAgQIECAAAECBAi0UUABsI34bt1agZ/85CdhypQpYfTo0SE+Mvm9732v0wDie9Tmzp2bnB88eHA45phjwsMPP9ypzdq1a8P06dPD8OHDk0/cf/bZZzu18YMAAQIECBAgQIAAAQIECBAgkCcBBcA8ZcNYmiqwcePGcPDBB4cFCxZ0e5/LLrsszJ8/Pzl///33h1GjRoUTTjghbNiwod5+2rRpYcWKFWHRh2GhGgAAQABJREFUokXJJ+7HIqCNAAECBAgQIECAAAECBAgQIJBXgf55HZhxEcha4OSTTw7x090WZ/9deeWV4eKLLw7vec97kiY33nhjGDlyZLjpppvC2WefHX79618nRb/ly5eHI444Imlz7bXXhgkTJoRHH3007Lvvvt117VgPAlau7QHmNRxm+RrQXEKAAAECBAgQIECAAIEKCZgBWKFkC7VngcceeyysXr06TJo0qd5o0KBB4eijjw5Lly5Nji1btix57Dct/sWDRx55ZHIsbVO/uGFn8+bNYf369Z0+DaftEuizgFWA+0yoAwIECBAgQIAAAQIECJRaQAGw1OkVXG8FYvEvbnHGX+MWf6fn4vfuu+/eeDrZj8fSNlud7Dgwb968+jsD47sDx4wZ010zxwgQIECAAAECBAgQIECAAAECTRFQAGwKq06LKtB1JlV8tLLxWON+GmPXNunx9HvOnDlh3bp19c+qVavSU5X+7s6y0iCCJ0CAAAECBAgQIECAAAECTRLwDsAmweq2WAJxwY+4xZl8e+yxR33wa9asqc8KjG2efPLJ+rl056mnnqq3SY81fsdHiePHRoAAAQIECBAgQIAAAQIECBBoh4AZgO1Qd8/cCYwbNy5Z9XfJkiX1sW3ZsiXcfffdYeLEicmxuNhHnMl333331dvce++9ybG0Tf2EHQIECBAgQIAAAQIECBAgQIBATgTMAMxJIgyj+QLPPfdc+N///d/6jeLCHytWrAgjRowIY8eODbNmzQqXXnpp2GeffZJP3N9pp53CtGnTkmv222+/cNJJJ4UzzzwzXHPNNcmxs846K0yePNkKwHXV3u9Yubb3VloSIECAAAECBAgQIECAAIG+CCgA9kXPtYUS+PnPfx7e+c531sd8wQUXJPunn356uOGGG8LHP/7xsGnTpnDuueeGtWvXhrja7+LFi8PQoUPr13zrW98KM2fOrK8WPHXq1LBgwYL6eTsECBAgQIAAAQIECBAgQIAAgbwJKADmLSPG0zSBY445JrzarLO4KMXcuXOTT0+DiLMFFy5c2NNpxwkQIECAAAECBAgQIECAAAECuRPwDsDcpcSACFRDwCrA1cizKAkQIECAAAECBAgQIECg/QIKgO3PgREQIECgTwKvNrO1Tx27mAABAgQIECBAgAABAgRKIaAAWIo0CoJA8QQUrbLLmdmU2VnqiQABAgQIECBAgAABAmUUUAAsY1bFRIAAAQIECBAgQIAAAQIECBAgQOAVAQVAfwoECLRFwKy1trC7KQECBAgQIECAAAECBAhUUEABsIJJFzIBAgQIECBAgAABAgQIECBAgEB1BBQAq5NrkRLIlYB3AOYqHQZDgAABAgQIECBAgAABAiUWUAAscXKFRoAAAQIECBAgQIAAAQIECBAgQEAB0N8AAQJtEfAOwOzYzabMzlJPBAgQIECAAAECBAgQKKOAAmAZsyomAgUQULQqQJIMkQABAgQIECBAgAABAgRKIaAAWIo0CoJA8QTMAMwuZyyzs9QTAQIECBAgQIAAAQIEyiigAFjGrIqJQAEEzADMLkkss7PUEwECBAgQIECAAAECBMoooABYxqyKiUABBMxaK0CSDJEAAQIECBAgQIAAAQIESiGgAFiKNAqCAIEqCyimVjn7YidAgAABAgQIECBAgMC2BRQAt22kBQECBHIt4BHgXKfH4AgQIECAAAECBAgQINB2AQXAtqfAAAhUU0DRqpp5FzUBAgQIECBAgAABAgQItF5AAbD15u5IgACBTAU8Apwpp84IECBAgAABAgQIECBQOgEFwNKlVEAEiiGgaFWMPBklAQIECBAgQIAAAQIECBRfQAGw+DkUAQECBAgQIECAAAECBAgQIECAAIEeBRQAe6RxggABAgQIECBAgAABAgQIECBAgEDxBRQAi59DERAgQIAAAQIECBAgQIAAAQIECBDoUUABsEcaJwgQIECAAAECBAgQIECAAAECBAgUX0ABsPg5FAEBAhUXqNVqFRcQPgECBAgQIECAAAECBAi8moAC4KvpOEeAAIECCFhRuQBJMkQCBAgQIECAAAECBAi0UUABsI34bk2AAAECBAgQIECAAAECBAgQIECg2QIKgM0W1j8BAgQIECBAgAABAgQIECBAgACBNgooALYR360JECBAgAABAgQIECBAgAABAgQINFtAAbDZwvonQIAAAQIECBAgQIAAAQIECBAg0EYBBcA24rs1gSoLWLk2u+yzzM5STwQIECBAgAABAgQIECijgAJgGbMqJgIEKiVgFeBKpVuwBAgQIECAAAECBAgQ2G4BBcDtJnMBAQIECBAgQIAAAQIECBAgQIAAgeIIKAAWJ1dGSqBUAmatlSqdgiFAgAABAgQIECBAgACBHAsoAOY4OYZGgAABAgQIECBAgAABAgQIECBAoK8CCoB9FXQ9AQIECBAgQIAAAQIECBAgQIAAgRwLKADmODmGRqDMAlauLXN2xUaAAAECBAgQIECAAAECeRJQAMxTNoyFAAECBAgQIECAAAECBAgQIECAQMYCCoAZg+qOAAECBAgQIECAAAECBAgQIECAQJ4EFADzlA1jIVAhAasAVyjZQiVAgAABAgQIECBAgACBtgooALaV380JECDQdwHvU+y7oR4IECBAgAABAgQIECBQZgEFwDJnV2wEciygaJVdcsymzM5STwQIECBAgAABAgQIECijgAJgGbMqJgIECBAgQIAAAQIECBAgQIAAAQKvCCgA+lMgQKAtAmattYXdTQkQIECAAAECBAgQIECgggIKgBVMupAJECBAgAABAgQIECBAgAABAgSqI6AAWJ1ci5RArgS8AzBX6TAYAgQIECBAgAABAgQIECixgAJgiZMrNAIECBAgQIAAAQIECBAgQIAAAQIKgP4GCBBoi4B3AGbHbjZldpZ6IkCAAAECBAgQIECAQBkFFADLmFUxESiAgKJVAZJkiAQIECBAgAABAgQIECBQCgEFwFKkURCtFvjqV78axo0bF3bccccwfvz48NOf/rTVQyj8/cwAzC6FLLOz1BMBAgQIECBAgAABAgTKKKAAWMasiqmpAt/5znfCrFmzwsUXXxx++ctfhre//e3h5JNPDitXrmzqfcvWuRmA2WWUZXaWeiJAgAABAgQIECBAgEAZBRQAy5hVMTVVYP78+WHGjBnhQx/6UNhvv/3ClVdeGcaMGROuvvrqpt63bJ2btVa2jIqHAAECBAgQIECAAAECBPIq0D+vAzMuAnkU2LJlS3jggQfCRRdd1Gl4kyZNCkuXLu10LP2xefPmED/ptm7dunR3u7/TmV4vvPBCiGOJW3rs+eefDy+//HJyLN6v8XfaJv3+85//HOKn8frG/Xj9Sy+9tNX55EDHP2I/mzZtSn++6ndsG8cS+2t0aBxf7CCOPR5Lt8bf6bjTc9v7nV4fxxDHnfrE4/GTxhK/169fn4wj9U3vFcfzute9rm6c9pl+N443XhOPp/HE/bRdo0N6LG0fv1OruB/Hk7ZJv+P5jRs3JjGkx2LbrLa0z2j03HPPJd2mxxrvkR5rHO+LL75Yz3F6vrtrom1sG79f7e+s8dpt7Xd3v21d4zwBAgQIECBAgAABAgSqIrBDx/9oqlUlWHES6KvAH//4x/CGN7wh/OxnPwsTJ06sd3fppZeGG2+8MTz66KP1Y+nO3LlzwyWXXJL+9E2AQBMEVq1aFfbcc88m9KxLAuUU6JiFvUM5IxMVAQIECBAgQIBAdwJmAHan4hiBbQh0/d9NsY7e9VjaxZw5c8IFF1yQ/gzPPvts2GuvvZJ3Bg4fPrx+vEw7cRZdfCw6FmWGDRtWptA6xSLOThxt+RH/s7dhw4YwevTottzfTQkQIECAAAECBAgQIFAEAQXAImTJGHMjsOuuu4Z+/fqF1atXdxrTmjVrwsiRIzsdS38MGjQoxE/XLRb/ylwci/HG+Moeozi7/mW3/ndZC+mtl3RHAgQIECBAgAABAgTKKmARkLJmVlxNERg4cGAYP358WLJkSaf+4+/GR4I7nfSDAAECBAgQIECAAAECBAgQINBGATMA24jv1sUUiI/zTp8+PRx22GFhwoQJ4Wtf+1ryOO8555xTzICMmgABAgQIECBAgAABAgQIECi1gAJgqdMruGYIvO997wt/+tOfwqc//enwxBNPhAMOOCD88Ic/TN7r15v7xceBP/WpT3X7WHBvri9CmyrEGPMgziL8NRojAQIECBAgQIAAAQIECFgF2N8AAQIECBAgQKBiAlYBrljChUuAAAECBAhUXsA7ACv/JwCAAAECBAgQIECAAAECBAgQIECgzAIKgGXOrtgIECBAgAABAgQIECBAgAABAgQqL6AAWPk/AQAECBAgQIAAAQIECBAgQIAAAQJlFlAALHN2xUaAAAECBAgQIECAAAECBAgQIFB5AQXAyv8JAGilwFe/+tUwbty4sOOOO4bx48eHn/70p628fZ/v9ZOf/CRMmTIljB49OnS8QD5873vf69RnrVYLc+fOTc4PHjw4HHPMMeHhhx/u1Gbt2rVh+vTpYfjw4ckn7j/77LOd2rTzx7x588Lhhx8ehg4dGnbffffw7ne/Ozz66KOdhrR58+Zw/vnnh1133TUMGTIkTJ06NTz++OOd2qxcuTKxiudju5kzZ4YtW7Z0atPOH1dffXU46KCDwrBhw5LPhAkTwu23314fUhlirAdjhwABAgQIECBAgAABAhUXUACs+B+A8Fsn8J3vfCfMmjUrXHzxxeGXv/xlePvb3x5OPvnkEAtFRdk2btwYDj744LBgwYJuh3zZZZeF+fPnJ+fvv//+MGrUqHDCCSeEDRs21NtPmzYtrFixIixatCj5xP1YBMzLdvfdd4fzzjsvLF++PCxZsiS8+OKLYdKkSSHGnm4xj7feemu4+eabwz333BOee+65MHny5PDSSy8lTeL3KaecklwTz8d2t9xyS5g9e3baRdu/99xzz/C5z30u/PznP08+xx57bHjXu95VL9iWIca2IxsAAQIECBAgQIAAAQIE8iLQMWPHRoBACwTe+ta31s4555xOd3rzm99cu+iiizodK8qPjv8Oq3UUwerDffnll2sdBb9aR1Gpfuz555+vdcz0q/3rv/5rcuyRRx6pxes6imv1NsuWLUuO/fd//3f9WJ521qxZk4yvozCYDKtjtmJtwIABtY6iXn2Yf/jDH2qve93rah1FzeTYD3/4w+R3PJ5u3/72t2uDBg2qrVu3Lj2Uu++dd9659vWvf71W5hhzh25ABNokkJd/DzUOAgQIECBAgACB1giYAdgaZ3epuEB89POBBx5IZpI1UsSZZUuXLm08VNj9xx57LKxevbpTjB0Fr3D00UfXY+wo9iWP/R5xxBH1OI888sjkWF4dOgp2yVhHjBiRfMc8vvDCC53ijI9EH3DAAZ3ijL/j8XQ78cQTQ3ysNl6fty3OWIyzFOMsx/gocBljzJu58RAgQIAAAQIECBAgQKCVAv1beTP3IlBVgaeffjp5PHTkyJGdCOLvWDQrw5bG0V2Mv//975MQY5v4Xr2uWzyWXt/1XDt/d0zMCRdccEF429velhT44ljiOAcOHBg6Zst1GlpjLmObrg6xfbwuT3E++OCDScGvY6ZmeP3rX5881rz//vsnj2iXJcZOSfKDAAECBAgQIECAAAECFRVQAKxo4oXdHoG4cEbjFgtMXY81ni/iftd4usbY9XyMsWubvMT9kY98JPzqV79K3vO3rTF1jaEIce67775JsS8uwhLfUXj66aeH+A7EnrYixthTLI4TIECAAAECBAgQIECgSgIeAa5StsXaNoG4Cmy/fv22mv3V8X65rWaKtW2QfbxxXPAjbl1nuDXGGNs8+eSTW93pqaeeyp1DXOX3+9//fvjxj38c4oIZ6RZjiI90x9WMG7eucXZ1iO3jo8NdZwY29tHq/TjL701velM47LDDQlz9OC7w8qUvfSlZvKUsMbba1P0IECBAgAABAgQIECCQRwEFwDxmxZhKJxALLePHj09WlW0MLq4yO3HixMZDhd0fN25cUjiKMaVbLCLFGWVpjPH9cvGdevfdd1/aJNx7773JsbRN/USbduIstzjz77vf/W648847Q4yrcYt57FgEpFMun3jiifDQQw91ijP+jsfTbfHixSG+EzFen9ctxh7fU1jmGPNqb1wECBAgQIAAAQIECBBoqkDH/+CzESDQAoG4amxcPfa6666rxdVwZ82aVRsyZEjtd7/7XQvuns0tNmzYUPvlL3+ZfDr+i6k2f/78ZL/jHX/JDeIKwHHV347iWa3j/XK1D3zgA7U99tijtn79+voATjrppNpBBx1Ui6v/xs+BBx5Ymzx5cv18u3c+/OEPJzHcddddtY4CXv3z5z//uT60uJpzx6zA2h133FH7xS9+UTv22GNrHbPnai+++GLSJn53LAJSO+6445LzsV1s31FYrPfR7p05c+bUfvKTn9Q6Fm+pdTzmXPvEJz6RrFzcUahMhlaGGNtt7P4E8izQ1H+51DkBAgQIECBAgED+BPL8L6fGRqBsAl/5yldqe+21V61jRmDtr/7qr2ods+MKFWLH47C1jv8W2+rT8e64JI6XX3659qlPfarW8ZhsrWO2W+0d73hHUghsDPJPf/pT7bTTTqsNHTo0+cT9jsdjG5u0db+7+OKx66+/vj6uTZs2JcW8jpWBa4MHD04KmCtXrqyfjzuxKHrKKack52O7WPzrWGyjU5t2/vj7v//7+t/ibrvtlhQr0+JfHFcZYmynr3sTyLtA/v6N1IgIECBAgAABAgSaKbBD/BfUZt5A3wQIECBAgAABAvkS6FioqPOqVPkantEQIECAAAECBAhkLOAdgBmD6o4AAQIECBAgQIAAAQIECBAgQIBAngQUAPOUDWMhQIAAAQIECBAgQIAAAQIECBAgkLGAAmDGoLojQIAAAQIECBAgQIAAAQIECBAgkCcBBcA8ZcNYCBAgQIAAAQIECBAgQIAAAQIECGQsoACYMajuCBAgQIAAAQIECBAgQIAAAQIECORJQAEwT9kwFgIECBAgQIAAAQIECBAgQIAAAQIZCygAZgyqOwIECBAgQIAAAQIECBAgQIAAAQJ5ElAAzFM2jIUAAQIECBAgQIAAAQIECBAgQIBAxgIKgBmD6o4AAQIECBAgQIAAAQIECBAgQIBAngQUAPOUDWMhQIAAAQIECBAgQIAAAQIECBAgkLGAAmDGoLojQIAAAQIECBAgQIAAAQIECBAgkCcBBcA8ZcNYCBAgQIAAAQIECBAgQIAAAQIECGQsoACYMajuCBAgQIAAAQIECBAgQIAAAQIECORJQAEwT9kwFgIECBAgQIAAAQIECBAgQIAAAQIZCygAZgyqOwIECBAgQIAAAQIECBAgQIAAAQJ5ElAAzFM2jIUAAQIECBAgQIAAAQIECBAgQIBAxgIKgBmD6o4AAQIECBAgQIAAAQIECBAgQIBAngQUAPOUDWMhQIAAAQIECBAgQIAAAQIECBAgkLGAAmDGoLojQIAAAQIECBAgQIAAAQIECBAgkCcBBcA8ZcNYCBAgQIAAAQIECBAgQIAAAQIECGQsoACYMajuCBAgQIAAAQIECBAgQIAAAQIECORJQAEwT9kwFgIECBAgQIAAAQIECBAgQIAAAQIZCygAZgyqOwIECBAgQIAAAQIECBAgQIAAAQJ5ElAAzFM2jIUAAQIECBAgQIAAAQIECBAgQIBAxgIKgBmD6o4AAQIECBAgQIAAAQIECBAgQIBAngQUAPOUDWMhQIAAAQIECBAgQIAAAQIECBAgkLGAAmDGoLojQIAAAQIECBAgQIAAAQIECBAgkCcBBcA8ZcNYCBAgQIAAAQIECBAgQIAAAQIECGQsoACYMajuCBAgQIAAAQIECBAgQIAAAQIECORJQAEwT9kwFgIECBAgQIAAAQIECBAgQIAAAQIZCygAZgyqOwIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDA/2uHDgQAAAAABPlbD3IhZMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCAAQMGDBgwYMCA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width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ImagePlot(mask);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-31T01:35:38.615206Z",
     "start_time": "2020-07-31T01:35:38.585324Z"
    }
   },
   "outputs": [],
   "source": [
    "ksp_slice = ksp_data[22] # Picking the middle slice (slice 22) for reconstruction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-31T01:35:38.720421Z",
     "start_time": "2020-07-31T01:35:38.618088Z"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "if pre_run:\n",
    "    if acc_8:\n",
    "        mdd_recon = np.load(\"data/out/recon/8x_mdd_recon.npy\")\n",
    "    else:\n",
    "        mdd_recon = np.load(\"data/out/recon/4x_mdd_recon.npy\")\n",
    "else:\n",
    "    subsampled_ksp_data = [ch for ch in ksp_slice*mask[None,...]] # Applying the mask to every coil, and creating a list for the recon function\n",
    "    imgs_sub,mse_sub,net = pipe.multichannel_recon(subsampled_ksp_data, k = 256, kernel_size = 1, d = 5, niter = 50000, device=device, forward = True, mask = mask)\n",
    "    mdd_recon = np.stack(imgs_sub)\n",
    "    \n",
    "    print(net)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-31T01:35:39.311609Z",
     "start_time": "2020-07-31T01:35:38.733908Z"
    }
   },
   "outputs": [],
   "source": [
    "gt_im = np.linalg.norm(dp.ifftc(ksp_slice), axis=0)\n",
    "mdd_im = np.linalg.norm(mdd_recon, axis=0)\n",
    "zfill_im  = np.linalg.norm(dp.ifftc(ksp_slice*mask), axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-31T01:35:39.926679Z",
     "start_time": "2020-07-31T01:35:39.314950Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ImagePlot(np.hstack((gt_im, zfill_im, mdd_im)));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# PICS Reco in BART"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-31T01:35:39.946613Z",
     "start_time": "2020-07-31T01:35:39.928782Z"
    }
   },
   "outputs": [],
   "source": [
    "if not pre_run:\n",
    "    import sys, os\n",
    "    try:\n",
    "        bart_python_path = os.environ[\"TOOLBOX_PATH\"] + \"/python\"\n",
    "        sys.path.append(bart_python_path)\n",
    "    except Exception as e:\n",
    "        raise TypeError(\"Make sure you have install the BART Toolbox and have your environment variable \"\n",
    "                        \"${TOOLBOX_PATH} appropriately set\") from e\n",
    "    from bart import bart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-31T01:35:39.962629Z",
     "start_time": "2020-07-31T01:35:39.948508Z"
    }
   },
   "outputs": [],
   "source": [
    "# You can uncomment the bottom two commands to get a better understanding of what the BART commands do\n",
    "# !bart ecalib -h\n",
    "# !bart pics -h"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-31T01:35:39.980171Z",
     "start_time": "2020-07-31T01:35:39.964423Z"
    }
   },
   "outputs": [],
   "source": [
    "if not pre_run:\n",
    "    y_bart = np.transpose(ksp_slice*mask[None,...],(1,2,0))\n",
    "    y_bart = y_bart[:,:,None,:]\n",
    "    sens = bart(1, \"ecalib -m1 -S -r14\", y_bart)\n",
    "    pics_reco = bart(1, \"pics -S -R T:7:0:0.01 -i 300\", y_bart, sens)\n",
    "    pics_im = abs(pics_reco)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-31T01:35:40.006985Z",
     "start_time": "2020-07-31T01:35:39.981914Z"
    }
   },
   "outputs": [],
   "source": [
    "if pre_run:\n",
    "    if acc_8:\n",
    "        pics_im = np.load(\"data/out/recon/8x_cs_reco.npy\")\n",
    "    else:\n",
    "        pics_im = np.load(\"data/out/recon/4x_cs_reco.npy\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-31T01:35:40.180879Z",
     "start_time": "2020-07-31T01:35:40.008730Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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IECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAj8/3boQAAAAABAkL/1IBdCBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAEDBgwYMGDAgAED74EAjlOYuQ3a1rAAAAAASUVORK5CYII=\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ImagePlot(pics_im);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Final Figure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-31T01:35:40.211339Z",
     "start_time": "2020-07-31T01:35:40.182757Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Zero Fill Reconstruction PSNR: 25.628244175712297\n",
      "PICS Reconstruction PSNR: 31.953420639038086\n",
      "Deep Decoder PSNR: 33.19192886352539\n"
     ]
    }
   ],
   "source": [
    "print(\"Zero Fill Reconstruction PSNR: {}\\nPICS Reconstruction PSNR: {}\\nDeep Decoder PSNR: {}\".format(imstat.psnr(gt_im, zfill_im),imstat.psnr(gt_im, pics_im), imstat.psnr(gt_im, mdd_im)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-31T01:35:40.229037Z",
     "start_time": "2020-07-31T01:35:40.213128Z"
    }
   },
   "outputs": [],
   "source": [
    "def gen_zoom_window(w, dims, shift):\n",
    "    c1 = dims[0]//2+shift\n",
    "    c2 = dims[1]//2+shift\n",
    "    s1 = slice(c1-w//2,c1+w//2)\n",
    "    s2 = slice(c2-w//2,c2+w//2)\n",
    "    return s1, s2\n",
    "\n",
    "def plot_fig(fig, vmax):\n",
    "    obj = ImagePlot(fig)\n",
    "    obj.vmin = 0\n",
    "    obj.vmax = vmax\n",
    "    obj.update_image()\n",
    "    obj.fig.canvas.draw()\n",
    "    return obj"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-31T01:35:40.252659Z",
     "start_time": "2020-07-31T01:35:40.230606Z"
    },
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "im_row = np.hstack([gt_im, zfill_im, pics_im, mdd_im])\n",
    "\n",
    "gt_4 = np.tile(gt_im, 4)\n",
    "err_row = abs(gt_4-im_row)\n",
    "\n",
    "s1, s2 = gen_zoom_window(80, gt_im.shape, 100)\n",
    "zoom_row = np.hstack([gt_im[s1,s2], zfill_im[s1,s2], pics_im[s1,s2], mdd_im[s1,s2]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-31T01:35:41.234664Z",
     "start_time": "2020-07-31T01:35:40.254470Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
    {
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GDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDD40D2TAAATWElEQVRgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABA+dAyIV7Kv1OYdMAAAAASUVORK5CYII=\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_fig(im_row, gt_im.max());"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-31T01:35:42.211430Z",
     "start_time": "2020-07-31T01:35:41.237389Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
    {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_fig(10*err_row, gt_im.max());"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-07-31T01:35:42.381013Z",
     "start_time": "2020-07-31T01:35:42.212874Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
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width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_fig(zoom_row, zoom_row.max());"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}