{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Coins detection\n",
    "\n",
    "## Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from PIL import Image\n",
    "import numpy as np\n",
    "from matplotlib import pyplot as plt\n",
    "from matplotlib import cm\n",
    "from scipy import ndimage\n",
    "\n",
    "%matplotlib nbagg"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Open the file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "balls.jpg  Image_Processing_Tutorial_1.ipynb  Image_Processing_Tutorial_4.ipynb\r\n",
      "bugs.jpg   Image_Processing_Tutorial_2.ipynb  Orientation.ipynb\r\n",
      "coins.jpg  Image_Processing_Tutorial_3.ipynb\r\n"
     ]
    }
   ],
   "source": [
    "!ls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\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(\n",
       "            '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",
       "\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 = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(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 = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    var resizeObserver = new ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * mpl.ratio);\n",
       "                canvas.setAttribute('height', height * mpl.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\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 toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\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",
       "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",
       "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], msg['forward']);\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,\n",
       "        0,\n",
       "        fig.canvas.width / mpl.ratio,\n",
       "        fig.canvas.height / mpl.ratio\n",
       "    );\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",
       "        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.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\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",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\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(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\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(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\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",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
       "        }\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",
       "        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, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\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",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\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, 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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"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\";/* global mpl */\n",
       "\n",
       "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 = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / mpl.ratio;\n",
       "    fig.root.removeEventListener('remove', this._remove_fig_handler);\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.innerHTML =\n",
       "        '<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'] =\n",
       "        '<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 () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function () {\n",
       "    this.close_ws(this, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "    el.addEventListener('remove', this._remove_fig_handler);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('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",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\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",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "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(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "im = Image.open('coins.jpg')\n",
    "channels = im.split()\n",
    "r = np.array(channels[0])\n",
    "\n",
    "fig = plt.figure(\"Red Channel\")\n",
    "plt.imshow(r, origin = \"upper\", cmap = cm.gray)\n",
    "plt.colorbar()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot the histogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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CwhgAdzqIyCABXCruWdcAgQIEJi5gAAWwK0+AgJYALeae8YlQIAAgZkLCGAB3OojIIAFcKu5Z1wCBAgQmLmAABbArT4CAlgAt5p7xiVAgACBmQsIYAHc6iMggAVwq7lnXAIECBCYuYAAFsCtPgICWAC3mnvGJUCAAIGZCwhgAdzqIyCABXCruWdcAgQIEJi5gAAWwK0+AgJYALeae8YlQIAAgZkLCGAB3OojIIAFcKu5Z1wCBAgQmLmAABbArT4CAniNAF7spPPPvXur/WVcAgQIECBwMAICWAC3mswCWAC3mnvGJUCAAIGZCwhgAdzqIyCABXCruWdcAgQIEJi5gAAWwK0+AgJYALeae8YlQIAAgZkLCGAB3OojIIAFcKu5Z1wCBAgQmLmAABbArT4CAlgAt5p7xiVAgACBmQsIYAHc6iMggAVwq7lnXAIECBCYuYAAFsCtPgICWAC3mnvGJUCAAIGZCwhgAdzqIyCABXCruWdcAgQIEJi5gAAWwK0+AgJYALeae8YlQIAAgZkLCGAB3OojIIAFcKu5Z1wCBAgQmLmAABbArT4CAlgAt5p7xiVAgACBmQsIYAHc6iMw2wA+e4PwXeyk88+9e6v9ZVwCBAgQIHAwAgJYALeazAJ4A3kBvAGalxAgQIAAgRUBASyAW30oBPAG8gJ4AzQvIUCAAAECArj3HDij95IW3ERAAG+gJoA3QPMSAgQIECAggHvPAQHcm2qjBQXwBmwCeAM0LyFAgAABAgK49xwQwL2pNlpQAG/AJoA3QPMSAgQIECAggHvPAQHcm2qjBQXwBmwCeAM0LyFAgAABAgK49xwQwL2pNlpQAG/AJoA3QPMSAgQIECAggHvPAQHcm2qjBQXwBmwCeAM0LyFAgAABAgK49xwQwL2pNlpQAG/AJoA3QPMSAgQIECAggHvPAQHcm2qjBQXwBmwCeAM0LyFAgAABAgK49xwQwL2pNlpQAG/AJoA3QPMSAgQIECAggHvPAQHcm2qjBQXwBmwCeAM0LyFAgAABAgK49xwQwL2pNlpQAG/AJoA3QPMSAgQIECAggHvPAQHcm2qjBQXwBmwCeAM0LyFAgAABAgK49xwQwL2pNlpQAG/AJoA3QPMSAgQIECAggHvPAQHcm2qjBQXwBmwCeAM0LyFAgAABAgK49xwQwL2pNlpQAG/AJoA3QPMSAgQIECAggHvPAQHcm2qjBQXwBmwCeAM0LyFAgAABAgK49xwQwL2pNlpQAG/AJoA3QPMSAgQIECAggHvPAQHcm2qjBQXwBmwCeAM0LyFAgAABAgK49xwQwL2pNlpQAG/AJoA3QPMSAgQIECAggHvPAQHcm2qjBQXwBmwCeAM0LyFAgAABAgK49xwQwL2pNlpQAG/AJoA3QPMSAgQIECAggHvPgdYBfM8kT05ywyT/NcmfJTknyddX3sE9kjwryfWSfCPJc5O8ZmWZei9PSPKIJFdJ8tkkj0nysZXlLpfk+UnuneSiSd6T5NFJLlxZ7vpJXpTk1kl+lOR1SZ6S5Ke9dRMBvAbWYlEBvAGalxAgQIAAAQHcew60DOB/nOQDXVi+McmVkjwzye8m+f0kP+7exW2TfDDJK5O8Ockdumi+f5K3Lb3TCudndAH9+SSPTHLHJDdeCep3J7lRkscm+UmSZyf5RZKbJfl5t74rJPlSkq8leU6Sq3fR/IYkj+qtK4DXoPr1ogJ4IzYvIkCAAAECvyFwwQUX5Kyzzqrn6v+5AM+vBVoG8MuS3DnJtZP8qtuk2yf5T0n+p+5ocD1dR2gvk+Q2SzvuTV3Y1pHjelwiybeTvCTJk7rnLpbkq0ne2R0VrqdvleQjSe6S5L3dcnVU+ctJHpjkLd1zT+wi+xpJvt899/AkL01Sz32r5yRyBLgn1PJiAngDNC8hQIAAAQIrAgL4+CnRMoBf1R11/UdLm3fTJJ9O8gdJPpTk4t3pB49P8oKl5erUibcnuVaS87ujwnU0+SbdqQ+LRetUh/skObt7oo4w1+kOV1yK7vpHn0lSR40f3C1XY1f43mtpzMt3zz0kyWt7fsoEcE8oAbwBlJcQIECAAIHTCAjgaQbw7bqjvf8yyeIUiDrC+g+S3Lw7LaGO8NapCHdLUqcuLB7X6Y7uLp6v837r6O8lu9MaFss9LMnLk1y6O6WijvDWEdxbrpDU+HUkevH8d5K8ujudYnnRbyZ5/RHPHycsgLf4anIkeAs8LyVAgACB2QsI4GkGcG3V/5ykTmf477pNrB+u3bU7naGeqtMePtydurD8Y7YrJ/lukgd1r68f0j21OxVi+d3eL8lbu3N467SF93VhXWMsP17cnY5x3e7Jn3XrO3dluS92p1DU6RBHPS6bpP6zeFw1ySdPnTqVM8+sFp7P4+xzztv6zQrgrQmtgAABAgRmLCCApxnAdXWFqqQ60vofux/BVcRWfNbR4foR3L4F8NOTPG2VWwBv9u0jgDdz8yoCBAgQIFACAniaAfypJH+V5L5Lm1eHSesyZ/8iySu6y6PVKRB1xLZ+DLd4bHMKRP0Ssn4Mt/w46hSIOke5fgy3/DjpFAhHgDstR4B9+RIgQIAAgbYCAniaAfzfktQpBvXDtOVHnX9b1/ita/oufgT3uCQvXFqorgv8jiN+BFeXPPvc0nLP6wJ7+UdwdRmzuuTa4soTtXj98O4LKz+C+153reDF6ur6wT9I4kdwp/k8DxG+i9U7Atz2i9PoBAgQILDfAgJ4mgFclx77ykpkXjPJX3bX8P233WbXkd9LdadFLN5JXY+3rhixehm0unFF3ayiHnWTi7oM2ruOuAzanZK8v1uuzvut7Vi9DFpdTq2OFv+wW+6hSerSbS6DJoD3+xvR1hMgQIDALAQE8DQDuK7+UJc2+5Mk/6E7KlvxWndxqxtV1BHYeixuhFGnRNRVHOpawXWu8AO6H7gt3l3dCKPOwa0jx3U0t64MUdcZPupGGBXOyzfC+OUxN8KogF6+EUadKuFGGAJ4Fl+c3iQBAgQI7LeAAJ5mANc1iP/XJH/UXYKsbjf80e5GFnVEdvlR1/1dvRVy/Xhu+VHrqwhevRVyrXP5sbgVcl0f+CLdDTHq2sCrN7e4wRG3Qq6rTbgVsgDe729EW0+AAAECsxAQwNMM4DlMvtldB9g5wHOY1t4jAQIECOyDgAAWwK3mqQDeQt6P4LbA81ICBAgQmL2AABbArT4EAngLeQG8BZ6XEiBAgMDsBQSwAG71IRDAW8gL4C3wvJQAAQIEZi8ggAVwqw+BAN5CXgBvgeelBAgQIDB7AQEsgFt9CATwFvICeAs8LyVAgACB2QsIYAHc6kMggLeQF8Bb4HkpAQIECMxeQAAL4FYfAgG8hbwA3gLPSwkQIEBg9gICWAC3+hAI4C3kBfAWeF5KgAABArMXEMACuNWHQABvIS+At8DzUgIECBCYvYAAFsCtPgQCeAt5AbwFnpcSIECAwOwFBLAAbvUhEMBbyAvgLfC8lAABAgRmLyCABXCrD4EA3kJeAG+B56UECBAgMHsBASyAW30IBPAW8gJ4CzwvJUCAAIHZCwhgAdzqQyCAt5AXwFvgeSkBAgQIzF5AAAvgVh8CAbyFvADeAs9LCRAgQGD2AgJYALf6EAjgLeQF8BZ4XkqAAAECsxcQwAK41YdAAG8hL4C3wPNSAgQIEJi9gAAWwK0+BAJ4C3kBvAWelxIgQIDA7AUEsABu9SEQwFvIC+At8LyUAAECBGYvIIAFcKsPgQDeQl4Ab4HnpQQIECAwewEBLIBbfQgE8BbyAngLPC8lQIAAgdkLCGAB3OpDIIC3kBfAW+B5KQECBAjMXkAAC+BWHwIBvIW8AN4Cz0sJECBAYPYCAlgAt/oQCOAt5AXwFnheSoAAAQKzFxDAArjVh0AAbyEvgLfA81ICBAgQmL2AABbArT4EAngAeSE8AKJVECBAgMDsBASwAG416QXwAPICeABEqyBAgACB2QkIYAHcatIL4AHkBfAAiFZBgAABArMTEMACuNWkF8ADyAvgARCtggABAgRmJyCABXCrSS+AB5AXwAMgWgUBAgQIzE5AAAvgVpNeAA8gL4AHQLQKAgQIEJidgAAWwK0mvQAeQF4AD4BoFQQIECAwOwEBLIBbTXoBPIC8AB4A0SoIECBAYHYCAlgAt5r0AngAeQE8AKJVECBAgMDsBASwAG416WcTwGefc97OjAXwzmitmAABAgQOWEAAC+BW01sADyAvgAdAtAoCBAgQmJ2AABbArSa9AB5AXgAPgGgVBAgQIDA7AQEsgFtNegE8gLwAHgDRKggQIEBgdgICWAC3mvQCeAB5ATwAolUQIECAwOwEBLAAbjXpBfAA8gJ4AESrIECAAIHZCQhgAdxq0gvgAeQF8ACIVkGAAAECsxMQwAK41aQXwAPIC+ABEK2CAAECBGYnIIAFcKtJL4AHkBfAAyBaBQECBAjMTkAAC+BWk14ADyAvgAdAtAoCBAgQmJ2AABbArSa9AB5AXgAPgGgVBAgQIDA7AQEsgFtNegE8gLwAHgDRKggQIEBgdgICWAC3mvQCeAB5ATwAolUQIECAwOwEBLAAbjXpBfAA8gJ4AESrIECAAIHZCQhgAdxq0gvgAeQF8ACIVkGAAAECsxMQwAK41aQXwAPIC+ABEK2CAAECBGYnIIAFcKtJL4AHkBfAAyBaBQECBAjMTkAAC+BWk14ADyAvgAdAtAoCBAgQmJ2AABbArSa9AB5QXggPiGlVBAgQIHDwAgJYALea5AJ4QHkBPCCmVREgQIDAwQsIYAHcapIL4AHlBfCAmFZFgAABAgcvIIAFcKtJLoAHlBfAA2JaFQECBAgcvIAAFsCtJrkAHlBeAA+IaVUECBAgcPACAnjaAfyHSf73JDdI8l+TfDLJfZL8uNvseyR5VpLrJflGkucmec3KWzojyROSPCLJVZJ8NsljknxsZbnLJXl+knsnuWiS9yR5dJILV5a7fpIXJbl1kh8leV2SpyT56ZqfFgG8JtjpFhfAA2JaFQECBAgcvIAAnm4AP7kL1+ck+WiSKyf5J0ke38XwbZN8MMkrk7w5yR2S1Gvun+RtS2/rnCTPSFL//fkkj0xyxyQ3TvL1peXeneRGSR6b5CdJnp3kF0luluTn3XJXSPKlJF9LUtt19S6a35DkUWt+WgTwmmACeEAwqyJAgACBWQsI4GkGcB3R/WKSeyZ51zGbWEdoL5PkNkv//E1d2N6we+4SSb6d5CVJntQ9d7EkX03yzu6ocD19qyQfSXKXJO/tlqtt+HKSByZ5S/fcE7vIvkaS73fPPTzJS5PUc99a49MkgNfAOmlRR4BPEvLPCRAgQIDArwUE8DQD+NzuVIfrHrN5F+9OP6ijwS9YWqaC+e1JrpXk/O6o8AeS3KQ79WGxaJ3qUKdSnN098czudIcrJvnV0vo+0x01fnD33Ie68L3X0jKX7557SJLXrvHhEsBrYJ20qAA+Scg/J0CAAAECArjPHKhzZ1s96tSG7yX58yT/W5KKzDr/94+TfDxJHeGtUxHulqROXVg8rtMd3V08X+f91tHfS3anNSyWe1iSlye5dHc+cR3hrSO4t1x5w29Mcu2l57+T5NXd6RTLi34zyeuPeP50fgJ4wNklgAfEtCoCBAgQOHgBR4CP38UtA/gr3fm19QO0OnXhv3X//ftJKnLrPx/uTl1Y/jFbnSf83SQPSlKnQ9Q5wU9NUqdCLD/ul+St3Rh12sL7uvN977qy3IuT3DnJ4kj0z7r11RHq5UedrlGnUNTpEMc9Lpuk/rN4XLWi/tSpUznzzGrhw32cfc55O39zAnjnxAYgQIAAgQMSEMDTDOA6R7ci9x91pyDUVtbpCXVaw7/pztPdtwB+epKnrXIL4GG+TQTwMI7WQoAAAQLzEBDA0wzgOs2hTj2oI7rLjz9N8jfdUdg6BaKO2NaP4RaPbU6BOKs7orw83lGnQLwqSf0YbvnR5xQIR4B3+J0igHeIa9UECBAgcHACAniaAVzn2dYP2o4K4LoecFXt0cMAACAASURBVP2Ara7B+7gkL1x6C3Vd4Hcc8SO4uuTZ55aWe16S+678CK4uY3allR/BfTrJF5Is/wiuzk2uawUvHnX94B8k8SO4Y+aSUyAO7nvTGyJAgACBPRcQwNMM4Arc/3fl6g0Vp4tTIP6P7sjvpZLcbukt1PV4b9r9SK6eXlwGrW5cUTerqEfd5KJOsajLq9WP5OqxuAzanZK8v3uuzvutc5FXL4NW5yTX0eIfdss9NMnLXAbt+IkkgPf8W9LmEyBAgMDBCQjgaQbw73R3aqvzfuuHbHXntzrtoE5x+L0kf51kcSOMV3TX6b19d2rEA7ofuC3eWd0Ao86/rbvB1dHcit76YdtRN8Koq0ss3wjjl8fcCKMCevlGGHWqhBthOAJ8cF+Q3hABAgQIHKaAAJ5mANdW1ekP9YO3Oq2hbl7xZ90tjP9iaZPrNInVWyHX6RPLj7qaRUXw6q2Q6+5yy4/FrZDr6PNFuh/a1a2QV29uUbdlXr0VckW6WyEL4MP8lvSuCBAgQODgBATwdAP44CbbyhtyHeAB97AfwQ2IaVUECBAgcPACAlgAt5rkAnhAeQE8IKZVESBAgMDBCwhgAdxqkgvgAeUF8ICYVkWAAAECBy8ggAVwq0kugAeUF8ADYloVAQIECBy8gAAWwK0muQAeUF4AD4hpVQQIECBw8AICWAC3muQCeAfyQngHqFZJgAABAgcnIIAFcKtJLYB3IC+Ad4BqlQQIECBwcAICWAC3mtQCeAfyAngHqFZJgAABAgcnIIAFcKtJffABPMYtkFd3ngBuNZ2NS4AAAQL7JCCABXCr+SqAdyAvgHeAapUECBAgcHACAlgAt5rUAngH8gJ4B6hWSYAAAQIHJyCABXCrSS2AdyAvgHeAapUECBAgcHACAlgAt5rUAngH8gJ4B6hWSYAAAQIHJyCABXCrSS2AdyAvgHeAapUECBAgcHACAlgAt5rUAngH8gJ4B6hWSYAAAQIHJyCABXCrSS2AdyAvgHeAapUECBAgcHACAlgAt5rUAngH8gJ4B6hWSYAAAQIHJyCABXCrSb13Aby4sUXfyHQjjFZTy7gECBAgQOD0AgJYALf6jAjgHcj3jfMdDG2VBAgQIEBgbwQEsABuNVkF8A7kBfAOUK2SAAECBA5OQAAL4FaTWgDvQF4A7wDVKgkQIEDg4AQEsABuNakF8A7lhfAOca2aAAECBPZeQAAL4FaTeG8DeAF2UmS2+BFc321rtdONS4AAAQIEpiAggAVwq3kogHcof1Kc73BoqyZAgAABApMXEMACuNUkFcA7lBfAO8S1agIECBDYewEBLIBbTWIBvEN5AbxDXKsmQIAAgb0XEMACuNUkFsA7lBfAO8S1agIECBDYewEBLIBbTWIBvEN5AbxDXKsmQIAAgb0XEMACuNUkFsA7lBfAO8S1agIECBDYewEBLIBbTWIBvEN5AbxDXKsmQIAAgb0XEMACuNUkFsA7lBfAO8S1agIECBDYewEBLIBbTWIBvEN5AbxDXKsmQIAAgb0XEMACuNUkFsA7lBfAO8S1agIECBDYewEBLIBbTWIBvEN5AbxDXKsmQIAAgb0XEMACuNUkFsA7lBfAO8S1agIECBDYewEBLIBbTWIBvEN5AbxDXKsmQIAAgb0XEMACuNUkFsAjyAvhEZANQYAAAQJ7JyCABXCrSSuAR5AXwCMgG4IAAQIE9k5AAAvgVpN27wN4AXdcZJ59znmtbP9+XAHcfBfYAAIECBCYoIAAFsCtpqUAHkFeAI+AbAgCBAgQ2DsBASyAW03avQngk47kOgLcagoZlwABAgQIbCYggAXwZjNn+1cdbACfFMzb0/VfgyPA/a0sSYAAAQLzERDAArjVbBfAI8gL4BGQDUGAAAECeycggAVwq0krgEeQF8AjIBuCAAECBPZOQAAL4FaTVgCPIC+AR0A2BAECBAjsnYAAFsCtJq0AHkFeAI+AbAgCBAgQ2DsBASyAW01aATyCvAAeAdkQBAgQILB3AgJYALeatAJ4BHkBPAKyIQgQIEBg7wQEsABuNWkF8AjyAngEZEMQIECAwN4JCGAB3GrSCuAR5AXwCMiGIECAAIG9ExDAArjVpBXAI8gL4BGQDUGAAAECeycggAVwq0krgEeQF8AjIBuCAAECBPZOQAAL4FaTVgCPKC+ER8Q2FAECBAhMXkAAC+BWk/RgAngBuIjMs885r5XpseMK4MntEhtEgAABAg0FBLAAbjX9BPCI8gJ4RGxDESBAgMDkBQSwAG41SQXwiPICeERsQxEgQIDA5AUEsABuNUkPLoBbQfYZVwD3UbIMAQIECMxFQAAL4FZzXQCPKC+AR8Q2FAECBAhMXkAATz+AL5PkK0munuTmST61tMn3SPKsJNdL8o0kz03ympW3dEaSJyR5RJKrJPlsksck+djKcpdL8vwk905y0STvSfLoJBeuLHf9JC9KcuskP0ryuiRPSfLTNWe7AF4TbJvFBfA2el5LgAABAocmIICnH8D/OskfJvnvVwL4tkk+mOSVSd6c5A5Jnpzk/knetvS2zknyjCT1359P8sgkd0xy4yRfX1ru3UlulOSxSX6S5NlJfpHkZkl+3i13hSRfSvK1JM/poryi+Q1JHrXmh0MArwm2zeICeBs9ryVAgACBQxMQwNMO4DraWkd8K0pfthLAdYS2jg7fZuktvKkL2xt2z10iybeTvCTJk7rnLpbkq0ne2R0VrqdvleQjSe6S5L3dcnVU+ctJHpjkLd1zT+wi+xpJvt899/AkL01Sz31rjQ+IAF4Da9tFBfC2gl5PgAABAockIICnHcDvS/K5JP8xyf+3FMAX704/eHySFyy9hXsmeXuSayU5vzsq/IEkN+lOfVgsWkdt75Pk7O6JZ3anO1wxya+W1veZ7qjxg7vnPtSF772Wlrl899xDkrx2jQ+HAF4Da9tFBfC2gl5PgAABAockIICnG8D3S/LiJNdNctOVAK4jvHUqwt2S1KkLi8d1uqO7i+frvN86+nvJ7rSGxXIPS/LyJJdO8uPuCG8dwb3lCscbk1x76fnvJHl1dzrF8qLfTPL6I54/3WdFAI/4TSKAR8Q2FAECBAhMXkAATzOAL9X98O3pXXD+45UArtMePtydurD8Y7YrJ/lukgclqdMh6pzgpyapUyGWHxXXb+3O4a3TFupIc53ve9eV5SrA79xFeP2jn3XrO3dluS92p1DU6RDHPS6bpP6zeFw1ySdPnTqVM8+sFp7uY4p3dltXSwCvK2Z5AgQIEDhkAQE8zQCuH5jdKcktulMSDiGAK+aftsotgMf5ehHA4zgbhQABAgT2Q0AATy+Ar9mdxlCXI6sfptWjrvjwH5LcvvtRXJ2uUKdA1BHb+jHc4rHNKRBndUeUl0WOOgXiVUnqx3DLjz6nQDgC3PA7QQA3xDc0AQIECExOQABPL4AXR3uP27KPJ/mD7kdwj0vywqUF67rA7zjiR3B1ybP6Md3i8bwk9135EVxdxuxKKz+C+3SSLyRZ/hHc97prBS/WVdcP/kESP4Kb3Mf7tzdICO/BTrKJBAgQILBzAQE8vQCuqypUsC4/6v/+N0n+RZ03m6SuzlBHfutc4dstLVjX460fzK1eBq1uXFE3q6hH3eSiLoP2riMug1anXby/W65+fFc34Fi9DFpdTq2OFv+wW+6h3SXaXAZt5x/X7QcQwNsbWgMBAgQI7L+AAJ5eAB+1RavnANcyixthvKK7ikOdHlE/eHtA9wO3xXrqBhh1/m3dDa6O5taVIeqHbUfdCKPCeflGGL885kYYFdDLN8KoUyXcCGMPvg8E8B7sJJtIgAABAjsXEMD7G8C15XXd39VbIddlypYfdSvkiuDVWyF/dGW5xa2Q6/rAF+luiFG3Ql69ucUNjrgVcl1twq2Qd/5x3X4AAby9oTUQIECAwP4LCOD9COD9n2m//Q5cB7jBXhXADdANSYAAAQKTExDAArjVpBTADeQFcAN0QxIgQIDA5AQEsABuNSkFcAN5AdwA3ZAECBAgMDkBASyAW01KAdxAXgA3QDckAQIECExOQAAL4FaTUgA3kBfADdANSYAAAQKTExDAArjVpBTADeQFcAN0QxIgQIDA5AQEsABuNSkFcAN5AdwA3ZAECBAgMDkBASyAW01KAdxAXgA3QDckAQIECExOQAAL4FaTUgA3kBfADdANSYAAAQKTExDAArjVpBTAreSTCOGG+IYmQIAAgeYCAlgAt5qEAriVvABuKG9oAgQIEJiCgAAWwK3moQBuJS+AG8obmgABAgSmICCABXCreSiAW8kL4IbyhiZAgACBKQgIYAHcah4K4FbyArihvKEJECBAYAoCAlgAt5qHAriVvABuKG9oAgQIEJiCgAAWwK3moQBuJS+AG8obmgABAgSmICCABXCreSiAW8kL4IbyhiZAgACBKQgIYAHcah4K4FbyArihvKEJECBAYAoCAlgAt5qHAriVvABuKG9oAgQIEJiCgAAWwK3moQBuJS+AG8obmgABAgSmICCABXCreSiAW8kL4IbyhiZAgACBKQgIYAHcah4K4FbyArihvKEJECBAYAoCAlgAt5qHAriVvABuKG9oAgQIEJiCgAAWwK3moQBuJb807vnn3n0CW2ETCBAgQIDAuAICWACPO+N+PZoAbiUvgCcgbxMIECBAoKWAABbArebf5AP47HPOa2Uz2riOAI9GbSACBAgQmJCAABbAraajAG4l7wjwBORtAgECBAi0FBDAArjV/BPAreQF8ATkbQIBAgQItBQQwAK41fwTwK3kBfAE5G0CAQIECLQUEMACuNX8E8Ct5AXwBORtAgECBAi0FBDAArjV/BPAreQF8ATkbQIBAgQItBQQwAK41fwTwK3kBfAE5G0CAQIECLQUEMACuNX8E8Ct5AXwBORtAgECBAi0FBDAArjV/BPAreQF8ATkbQIBAgQItBQQwAK41fwTwK3kBfAE5G0CAQIECLQUEMACuNX8E8Ct5I8Y1x3hJrQzbAoBAgQI7FxAAAvgnU+yYwYQwK3kBfCE5G0KAQIECLQQEMACuMW8qzEFcCt5ATwheZtCgAABAi0EBLAAbjHvBHAr9WPGdQrExHaIzSFAgACBnQoIYAG80wl2mpU7AtxK3hHgCcnbFAIECBBoISCABXCLeecIcCt1R4AnJm9zCBAgQKCFgAAWwC3mnQBupS6AJyZvcwgQIECghYAAFsAt5p0AbqUugCcmb3MIECBAoIWAABbALeadAG6lLoAnJm9zCBAgQKCFgAAWwC3mnQBupX7CuK4GMdEdY7MIECBAYFABASyAB51Qa6zMVSDWwBprUQE8lrRxCBAgQKClgAAWwK3mnwBuJX+acQXwBHeKTSJAgACBwQUEsAAefFL1XKEA7gk15mICeExtYxEgQIBAKwEBLIBbzT0B3EreEeAJytskAgQIEBhTQAAL4DHn2/JYAriVvACeoLxNIkCAAIExBQSwAB5zvgngVto9x3UKRE8oixEgQIDAXgsIYAHcagI7AtxK3hHgCcrbJAIECBAYU0AAC+Ax55sjwK20e47rCHBPKIsRIECAwF4LCGAB3GoCOwLcSt4R4AnK2yQCBAgQGFNAAAvgMeebI8CttNcc15HgNcEsToAAAQJ7JSCABXCrCesIcCv5HuMK4B5IFiFAgACBvRUQwAK41eQVwK3ke4wrgHsgWYQAAQIE9lZAAAvgVpNXALeS7zGuAO6BZBECBAgQ2FsBASyAW01eAdxKvse4ArgHkkUIECBAYG8FBPA0A/j+Sf55kpsmuVySryX5kySvSfKrpU2+R5JnJblekm8keW63zPK7OiPJE5I8IslVknw2yWOSfGzlrdc4z09y7yQXTfKeJI9OcuHKctdP8qIkt07yoySvS/KUJD9d81MggNcEG3NxATymtrEIECBAYGwBATzNAP5okvOT/Psk301ypySPT/LMJM/oNvm2ST6Y5JVJ3pzkDkmenKTi+W1Lb+uc7jX1359P8sgkd0xy4yRfX1ru3UlulOSxSX6S5NlJfpHkZkl+3i13hSRf6oL8OUmu3kXzG5I8as3JK4DXBGuxuBBuoW5MAgQIENi1gACeZgBfOcnfrGzaK5I8IElF6C+7I7SXSXKbpeXe1IXtDbvnLpHk20lekuRJ3XMXS/LVJO/sjgrX07dK8pEkd0ny3m65Oqr85SQPTPKW7rkndpF9jSTf7557eJKXJqnnvrXGhBXAa2C1WlQAt5I3LgECBAjsUkAATzOAj9qqP+pC87Ld6QZ1+kEdFX7B0sL3TPL2JNfqjiDXUeEPJLlJd+rDYtE61eE+Sc7unqgjy3W6wxVXTrH4THfU+MHdch/qwvdeS2NevnvuIUleu8ZkFcBrYLVaVAC3kjcuAQIECOxSQADvTwC/MckfJKlwrCO8dSrC3ZLUqQuLx3W6o7uL5+u83zr6e8nutIbFcg9L8vIkl07y4+4Ibx3BveUKR4157aXnv5Pk1UnqdIrlxzeTvP6I5083dwXwLj/ZA61bAA8EaTUECBAgMCkBAbwfAVzn+/5pd35uHfGt0x4+3J26sPxjtjp1os4ZflCSOh2izgl+apI6FWL5cb8kb+3O4a3TFt7Xne9715XlXpzkzkmu2z3/s259564s98XuFIo6HeK4Rx25rv8sHldN8slTp07lzDOrhaf3OPuc86a3USNvkQAeGdxwBAgQIDCKgACefgBXHX68Ox+3YrTO/93HAH56kqetcgvgUT7nGw8igDem80ICBAgQmLCAAJ52ANf5tX/WnZd7uyT/udvcxSkQdcS2Lle2eGxzCsRZ3RHlZZGjToF4VZL6Mdzyo88pEI4AT/iL4LhNE8B7uNNsMgECBAicKCCApxvAdd5unZpQ5+bWVRoqMhePi3fX4H1ckhcuPV/XBX7HET+Cq0uefW5pueclue/Kj+DqMmZXWvkR3KeTfCHJ8o/gvtddK3ixurp+8A+S+BHciR+3/VxABO/nfrPVBAgQIHC8gACeZgBfJMm/6242UUd+/+KIzawjv5dKUv988ajr8dbNM1Yvg1Y3rqibVdSjbnJRl0F71xGXQavrDb+/W67O+/3KEZdBq8up1dHiH3bLPTTJy1wG7XC/ZgTw4e5b74wAAQJzFRDA0wzguuZvXamhbkpR1+ddfvx5kr9NsrgRRi1b1+m9ffcDtbpWcP3AbfGoKzbU+bd1N7g6mltXhqhziY+6EUaF8/KNMOp846NuhFEBvXwjjDpVwo0wDvRbRAAf6I71tggQIDBjAQE8zQCuu8Bd85hNW1zjt/5xXfd39VbIdZmy5UfdCrkiePVWyHW3ueXH4lbIdX3gOgJdN8SoawOv3tziBkfcCrmuNuFWyAf6RSKAD3THelsECBCYsYAAnmYAz2FKug7wnu1lIbxnO8zmEiBAgMCxAgJYALf6eAjgVvIbjiuAN4TzMgIECBCYnIAAFsCtJqUAbiW/4bgCeEM4LyNA4O8EFjcX8l1iQkxBQAAL4FbzUAC3kt9wXH+0NoTzMgIzF1i9q6bvkplPiIm8fQEsgFtNRQHcSn7Dcf3R2hDOywjMRGDd28f7TpnJxJjo2xTAArjV1BTAreQ3HNcfqw3hvIzAgQusG76rHL5bDnyCTPTtCWAB3GpqCuBW8luO64/VloBeTmDPBbYNXgG85xPgQDZfAAvgVlNZALeS33JcAbwloJcTmKjA0GHb9236TukrZbkhBQSwAB5yPq2zLgG8jtaElvXHakI7w6YQGECgVfguNt13ygA70SrWFhDAAnjtSTPQCwTwQJBjr8Yfq7HFjUdgeIHW0XvcO/L9Mvy+tsajBQSwAG712RDAreS3HNcfqC0BvZxAQ4Gphq+jwQ0nxUyHFsACuNXUF8Ct5AcaVwgPBGk1BEYUEMAjYhtq0gICWAC3mqACuJX8QOMK4IEgrYbACAJTD19HgEeYBIb4DQEBLIBbfSQEcCv5gcYVwANBWg2BEQQE8AjIhtgrAQEsgFtNWAHcSn6gcQXwQJBWQ2AEgX0JYEeCR5gMhvg7AQEsgFt9FARwK/mBxxXCA4NaHYEBBfYtfAXwgDvfqk4rIIAFcKuPyGQDeF//YLTakQK4lbxxCRwvsO/fY75XzO5dCwhgAbzrOXbc+gVwK/mBx/WHamBQqyMwgMC+B7AjwQNMAqtwBHjDOXDGhq/zsn4CArif0+SXEsCT30U2cEYChxK+AnhGk7bRW3UE2BHgRlMvAriV/I7GFcI7grVaAmsIHFoAC+E1dr5F1xIQwAJ4rQkz4MICeEDMKaxKAE9hL9iGuQsI4LnPAO+/r4AAFsB958rQywngoUUbr08AN94Bhp+1wKGGryPAs57WO33zAlgA73SCnWblAriV/I7HFcI7Brb65gKL2JzSXBfAzaeFDdgzAQEsgFtNWQHcSn7H404pCnb8Vq1+JgLHxeWU5vqhB7AjwTP5sI34NgWwAB5xuv3GUAK4lfyOx51SFOz4rVr9gQpsGpMt5v6m27qvu66F8b5a2e7TCwhgAdzqMyKAW8nveFx/oHYMbPU7ExgqJsf8DAy1zTtD3dGKxzTe0Vuw2sYCAlgAt5qCAriV/Ejj+gM1ErRhthbYVUTu8jOwq23eGnOkFezSdqS3YJjGAgJYALeaggK4lfxI4/oDNRK0YTYWGDsih/xMjL3tGyPv6IVDWu5oE6124gICWAC3mqICuJX8yOP6QzUyuOF6C7SKyCE+E622vTfujhccwnDHm2j1ExcQwAK41RQVwK3kRx7XH6qRwQ3XW2BKEXnS52RK29obeIQFT3IbYRMMsacCAlgAt5q6AriV/Mjj+gM1MrjhThSYYkwuPidT3LYTQRsu4PulIf6eDy2ABXCrKSyAW8mPPK4/UCODG+5EAZF5ItHeLeB7Zu92WfMNFsACuNUkFMCt5BuN6w9UI3jD/paAAD68SeH75fD26a7fkQAWwLueY8etXwC3km80rj9QjeAN+/cCwvdwJ4Pvl8Pdt7t6ZwJYAO9qbp20XgF8ktCB/XN/oA5sh+7h2xHAe7jT1txk3zNrgs14cQEsgFtNfwHcSr7xuP5ANd4BMxxe+M5np/t+mc++3vadCmABvO0c2vT1AnhTuT1/nT9Qe74D93DzBfAe7rQNN9n3y4ZwM3yZABbAraa9AG4l33hcf6Aa74CZDS9+Z7bDu7fre2ae+32ddy2ABfA682XIZQXwkJp7uC5/oPZwp+3hJgvgPdxpA2yy75cBEA98FQJYALea4gK4lfxExvUHaiI74sA3QwAf+A4+4e35npn3/j/duxfAArjVp0MAt5KfyLj+ME1kRxzoZgjfA92xa74t3zNrgs1ocQEsgFtNdwHcSn5i4/oDNbEdciCbI4APZEcO9DZ8zwwEeUCrEcACuNV0FsCt5Cc2rj9ME9she745wnfPd+CON9/3zY6B92j1AlgAt5quAriV/ETH9YdpojtmTzZL+O7Jjmq8mb5nGu+ACQ0vgAVwq+kogFvJT3Rcf5gmumP2ZLME8J7sqIlspu+bieyIhpshgAVwq+kngFvJT3xcf5gmvoMmtnnCd2I7ZM82x/fNnu2wATdXAAvgAafTWqsSwGtxzWdhf5Dms6+3eafCdxs9r10V8L0zvzkhgAVwq1kvgFvJ78m4/iDtyY4aeTOF78jgMxvO9858drgAFsCtZrsAbiW/J+P6Q7QnO2qkzRS+I0Eb5u8EfP8c/kQQwAK41SwXwK3k92xcf4j2bIdtublCd0tALx9MwHfPYJSTXJEAFsCtJqYAbiW/p+P6Y7SnO67b7OPCdrFfhe9+799D3nrfPYe5dwWwAG41sycXwP4At5oK643rj9F6Xq2W9nlqJW/coQV85wwtOo31CWAB3GomCuBW8gcwrj9I096J4nfa+8fWbSbge2czt6m+SgAL4FZzUwC3kj+gcf1BmsbOFLzT2A+2YhwB3zvjOO96FAEsgHc9x45bvwBuJX+A4/qD1GanCt827kadhoDvnWnsh023QgAL4E3nzravE8DbCnr9bwn4g7TbSSF4d+tr7fsp4Htn2P22+J7ZtasAFsDDztz+axPA/a0suaXArr9It9y8yb5c8E5219iwCQr4nhlmpwjgYRy3WcsZ27zYa08UEMAnEllgaAF/oNYTFcDreVmawLKA75vN5oMA3sxtyFcJ4OM1r5/kRUluneRHSV6X5ClJfrrGDhDAa2BZdLcCc/9DJXR3O7+snUAJzP17pu8sEMB9pXa3nAA+2vYKSb6U5GtJnpPk6kmen+QNSR61xu4QwGtgWbStwKH+4RK+beeV0ecpcKjfJ0PtTQE8lOTm6xHAR9s9McmTk1wjyfe7RR6e5KXdc9/qSS6Ae0JZbD8EpvxHTejuxxyylfMWmPJ3yJh7RgCPqX30WAL4aJcPdeF7r6V/fPnuuYckeW3PXSeAe0JZbB4Cq7cEPumPoaidx7zwLucrcNJ3wKHKCOD2e1YAH70PvpPk1UnOWfnH30zy+iOeP25PTiqAxUT7D5wtIECAAIHNBNb9H9CbjTLOqwTwOM6nG0UAH63zsyRPTXLuyj/+YpKPJKnTIY56XDZJ/WfxqHOHP/aJT3wiV7va1Zrv7Vs+5wPNt8EGECBAgACBfRX42JP+yUabftzf303X13cjLrzwwtziFreoxc9O8ld9XzeH5QTwsAH89CRPm8PE8R4JECBAgACBvRG4eZJP7c3WjrChAvho5DoF4lVJ6sdwy4+TToFYPQJ8sSRn1ZVhkvxiR/vzqkk+maQm91/vaAyrPb2AfdB+htgH7fdBbYH90H4/2Af2wbLA7ya5SpIvJPnb9jTT2QIBfPS+qB/BfS/JvZf+8eWS/CDJOj+CG2NP/915xl1oXzDGgMb4LQH7oP2ksA/a74PaAvuh/X6wD+yD9gJ7sAUC+OidVEd+n9RF5Q+7RR6a5GVrXgZtjCngy24M5dOPYR/YB+0FprEFpdINvwAACeBJREFUPgvt94N9YB+0F9iDLRDAR++kxY0wvrpyI4w3rnkjjDGmgC+7MZQFcHtl+2Dq+8AR4GnsIX8T2u8H+6D9PjhxCwTw8UQ3OOJWyHVzjHVuhXziDhhggTrv+I+7O9X9lwHWZxXrC9gH65sN/Qr7YGjRzdZnP2zmNuSr7IMhNTdbl32wmduorxLAo3IbjAABAgQIECBAoLWAAG69B4xPgAABAgQIECAwqoAAHpXbYAQIECBAgAABAq0FBHDrPWB8AgQIECBAgACBUQUE8KjcBiNAgAABAgQIEGgtIIBb74HNx7/+EVepeMoEr1Kx+TuczisfnOQ1R2zOv05yztLz90jyrCTXS/KNJM895nXTeWfT3ZJ/mORfJbllkt9L8pXuv1e3uI95fc89IckjujsifTbJY5J8bLpvfzJb1mc/vDbJHx6xxXdL8u6l5+2H9Xfr/ZP88yQ3TVI3Y/pakj/pvld+teZ3D//1/Rev6LMffA42923ySgHchH3rQRfXKa4vw+ckuXp3GbQ3TPA6xVu/2QmsYBHAd03yn5e2p26NXXfhq8dtk3wwySuTvDnJHZLUZfPqi/NtE3gP+7YJ/yzJi5N8PMl1k/zOEQHc17z+R8ozuv+x8vkkj0xyxyQ3TvL1fYMZeXv77If6w3+7JA9a2bYvr3xe7If1d95Hk5yf5N8n+W6SOyV5fJJndnN6ne8e/uv7L17RZz/4HGzu2+SVArgJ+9aD1p3qKq6ukeT73doenuSlE7xT3dZvdgIrWARw3U/9b47ZnvckuUyS2yz98zd1kXXDCbyHfduECt5fdhtdf1hudkQA9zG/RJJvJ3lJd3fHWuXFktRNbt7ZHRXeN5sxt7fPfjhu/yxvp/2w2V678hHfOa9I8oAkdSCkPiM+B5vZrvOqPvvB52Ad0QksK4AnsBM22IQPdeF7r6XXXr577iFJ6oPoMZzASQF88SQ/6o7MvGBp2HsmeXuSa3VHcYbbonmt6ag/LH3N60j8B5LcJEmd+rB4PD/JfZKcPS/Krd7tcX/g+/zhtx+2ov+NF/9Rd7CjbrZQN2bq893Dfzj/xZqW90PtA5+D4Y13ukYBvFPena38O0levXL+aQ1W/0r+9Uc8v7MNmcmKFwFc7nUk4K+S/D9J/q8kv0hSR3i/lGT1nMfrdEcaV5+fCdtgb/OoPyx9zeu83zr6e8kkP1naoocleXmSSyf58WBbetgrOl0APzDJ33bOX0jyf3b/2n4hYj8MNzfemOQPktTtdn0OhnNdd03L+6FeW58Pn4N1FRsuL4Ab4m8x9M+SPDXJuSvr+GKSjySp0yE8hhO4S5L/sTsftX54Ukd263/9/9vunOs67eHDSW618sOqiuU6b6/OjazTITw2EzgqvPqa16lC9VmpfwW//Lhfkrd2589/a7PNmt2rjgvgf5nk593/CKx/E1WfjTsn+V+Wzn+3H4aZLnXe+58meWyS+rdNPgfDuK67ltX9UK/3OVhXsfHyArjxDthweAG8IdyAL/u/uysJnJXkfxDAA8r+9qoE8E55e6+8z7/irZXVecP1P8TrX9Evzn8XwL2Zj12wjvjWj0Lrx4X1PzDq/F8BvL3rums4aj8ctQ6fg3VlR15eAI8MPtBw9a/iX5Wkfgy3/HAKxEDAPVZz8ySfSPJPu1Mi6hSIukpE/SBl8XAKRA/IHouc7hSIk8z9q/cewD0X6RvAtbrHdacIXao7xcR+6Il8zGJ1ZP3PktS/gaorbiyuRrM4BcLnYDvfvq8+bj8c93qfg76yDZYTwA3QBxiyfgT3vST3XlpXXSPyB0n8CG4A4B6rWA7g/9T9EKW+7F649Nq6Ru07/Aiuh+bpFzndj+BOMl/8+Kcuefa5pWGel+S+fgS31r7ZJoDth7Wof2PhOn/9fd0Vfuo0qzrQsXgsfgzqc7C5b99Xnm4/9A1gn4O+2iMsJ4BHQN7BEHXk90lJ6l+//7Bb/0OTvMxl0HagffQqK6DqnK/612F/3R35raNddXRm8ajrMtcF7F0GbbvdcrrLoJ1kvrj81ouS1I1i6nHR7seJ73IZtLV2TN8Arn/1WzcZqR8Y3qgbwX5Yi/rvF75Ikn+X5Nbdd8tfHLGa+rdOPgeb+fZ9VZ/9sLoun4O+uo2WE8CN4LccdnEjjLqW6fKNMOpXqY/act1e/tsCdTerOgJTf3zqM1M/gqsfGtbR3rqjWD0WN2Woa3S+Jcntux9f1fU668dWHusJ1B/0Or2kHnXjimsn+ePu/64fAdWPC/ua1w0Ant7dDa6uUFD/Or7OoXQjjJP3yUn7of553SWxfuRZNxW5YvcjuJr/dYS94m3xsB9O9l5dor5P6ool9aO3Oq96+fHn3ZU3fA7Wd133FSfth6v6HKxL2n55Adx+H2y6BTc44lbI9UOTui6kx7ACFbp1KbM62lv/q77+h0fd8a2OKi7fjrTCePVWyHW5Oo/1Ber6vH95zMsqruque/XoY17fcxVfq7dCrrs7eZxe4KT9UHfWqwCuf9PxD7rvn091V6hZPh++RrEf1p9tdRe4ax7zsuXri/scrG+7zitO2g//xedgHc5pLCuAp7EfbAUBAgQIECBAgMBIAgJ4JGjDECBAgAABAgQITENAAE9jP9gKAgQIECBAgACBkQQE8EjQhiFAgAABAgQIEJiGgACexn6wFQQIECBAgAABAiMJCOCRoA1DgAABAgQIECAwDQEBPI39YCsIECBAgAABAgRGEhDAI0EbhgABAgQIECBAYBoCAnga+8FWECBAgAABAgQIjCQggEeCNgwBAgQIECBAgMA0BATwNPaDrSBAgAABAgQIEBhJQACPBG0YAgQIECBAgACBaQgI4GnsB1tBgAABAgQIECAwkoAAHgnaMAQIECBAgAABAtMQEMDT2A+2ggABAgQIECBAYCQBATwStGEIECBAgAABAgSmISCAp7EfbAUBAgQIECBAgMBIAgJ4JGjDECBAgAABAgQITENAAE9jP9gKAgQIECBAgACBkQQE8EjQhiFAgAABAgQIEJiGgACexn6wFQQIECBAgAABAiMJCOCRoA1DgAABAgQIECAwDQEBPI39YCsIECBAgAABAgRGEhDAI0EbhgABAgQIECBAYBoCAnga+8FWECBAgAABAgQIjCQggEeCNgwBAgQIECBAgMA0BATwNPaDrSBAgAABAgQIEBhJQACPBG0YAgQIECBAgACBaQgI4GnsB1tBgAABAgQIECAwkoAAHgnaMAQIECBAgAABAtMQEMDT2A+2ggABAgQIECBAYCQBATwStGEIECBAgAABAgSmISCAp7EfbAUBAgQIECBAgMBIAgJ4JGjDECBAgAABAgQITENAAE9jP9gKAgQIECBAgACBkQT+f433cIinM66cAAAAAElFTkSuQmCC\" width=\"639.9999861283738\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(\"Histogram\")\n",
    "plt.hist(r.flatten(), bins=np.arange(256), histtype = \"stepfilled\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Thresholding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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wLPMMkvlgT7yyCMiA1wZY6sawACHlZMMcFi+tA4BCEAAAnEJRDXAl156qXwZ4OWXX95Ixep/XFW4W2ECGODCyApVwAAXwkVhCEAAAhBInEAsA9mbPzHAiUdDg7uHAQ4rHgY4LF9ahwAEIACBuASiGuBLLrnEWwb44x//OBnguLGS9N0wwGHlwQCH5UvrEIAABCAQl0BUA/ynP/3JmwFeYYUVMMBxYyXpu2GAw8qDAQ7Ll9YhAAEIQCAuAQxwXN7cLRABDHAgsK5ZDHBYvrQOAQhAAAJxCUQ1wH/84x+9ZYBXXHFFMsBxYyXpu2GAw8qDAQ7Ll9YhAAEIQCAuAQxwXN7cLRABDHAgsGSAw4KldQhAAAIQqIVAVAN88cUXe8sAf+ITnyADXEvIpHlTDHBYXcgAh+VL6xCAAAQgEJdAVAP8hz/8wZsBXmmllTDAcWMl6bthgMPKgwEOy5fWIQABCEAgLgEMcFze3C0QAQxwILCuWQxwWL60DoFkCbz22mte+va2t/Ex7QUkjfgiENUAX3TRRd4ywCuvvDIZYF9R0IJ2+GQNKyIGOCxfWodAMgR8Gd7xBoQZTkbuLnckqgG+8MILvRngVVZZBQPc5cgdGDsGOGwwYIDD8qV1CNROIIbxHTZIzHDt0ne1AxjgrirfsnFjgMMKigEOy5fWIRCdQF2Gl8xwdKm54XAC0Q3wu971rspaPProoyIDXBljqxrAAIeVEwMcli+tQyAqgRTNbx8AGeGoodDlm0U1wBdccIF8GeBPfvKTplus/nc5RhoxdgxwWJkwwGH50joEohBI2fgOAsAIRwmJLt8kloHszZ8JGOAFJB0qaWlJz0o6UdLukl4cEQRTStpD0oaSZpH0gKQTJP1Q0stdDqBUxo4BDqsEBjgsX1qHQFACTTK+GOGgoUDjbxKIaoDPP/98bxngVVddtWgGeHpJt0i6U9K+kmaTdJCkkyVtMyIojpO0nqRdJd0qaSlJ35P0A0m7EVD1E8AAh9UAAxyWL61DIAiBJhtfjHCQkKDRbhrgXZxZnV3Skw7BlpKOkGSvPTRGYEzkssUHSNozU+bnkpaVNDcBVT8BDHBYDTDAYfnSOgS8E2iT+e3DYVmE9zDpcoNRM8DnnXeetwzwaqutVjQDfJkzvmtnBJ/OvbaZW9IwLBbeLul/knaW9ONMgZ9I+rSk93U5gFIZOwY4rBIY4LB8aR0C3gi00fhm4WCCy4fKqNjosx0s11LmUQ3wueee680Ar7766kUN8GOSbCmDGdns9aCkk4a8ni1zlCQ7e3kjSbdJWlLSGZK+75ZRlA9IanohgAH2gnHMRjDAYfnSOgS8EBhlcLzcJJFGWmrKgtK1+DBuvuKk4Ro03QAvIemRTMA8I8n+Dbtecg+y7T/wx5slXSHJlkOMdVkW+EhJm2cK7OfWBAeNVxrPRwADnI9T2VIY4LLkqAeBSAR8mZpI3fVym4YbMC8Mxmokdjw0UIuoBvj3v/+9twzwpz71qWGy7zWwTjdbpooBtvW/mzgDbQ/RWQb4u+5e9jeumglggMMKgAEOy5fWIVCJQGyzU6mzHis30HR5HP2ETaUQBw3SJKoBPuecc7wZ4E9/2pbfqkgG2JZAHCvJHobLXqOWQCws6SZJa0r6Xaai7f5gW6PN7B6SCxrXND4+AQxw2AjBAIflS+sQKE0gBdNTuvOeKjbIdHka8VubSTkGEtam6Qa4SP/tIbgnJK2TiZxpJT0labyH4DaQdJqkOSTdn6lri5B/L2khty44SFzTaD4CGOB8nMqWwgCXJUc9CAQkkLLxCTjsoU0nbLSCo0g9DhLVpoiBrKJhb/783e9+5y0DvMYaa1h/ivTfMr+2j6/VedoNxtb02tre8bZB+6ikqyTZ7hFnZSBY9teWXEztdomowoe6FQm0xQDbt60vSFpMkn07s/U2tt3I8ZJeyzCy6N9b0vzuW5ktSLcy2cuY7CRpK/czxfWStnPBXBQ3BrgoMcpDIAKB1I1PBARv3CJRkxUMge8H2oJ11DWcoD5FDGQVPCkY4P5BGHcMHIRxysBBGLZMYlNJE7sB2wNwZoCN1Xck/VOSmWIzwKcOPBhXhRF1KxBoiwG+UtK9kn4r6XFJK0v6tjt1xb5t2WWbT18i6Rj308SKboNrM89nZhjadidWx/57o6St3VYmi0i6uyBrDHBBYBSHQGgCmN8JCSdosoKFQVP1T0ijqAb47LPP9pYBXnNNW5JbKANs5RccchSyreXNHoVsRxybAc56Kjv+2LY8Mz/yTstmS/qFOwnuuWABTsO5CbTFAM8k6V8Doz7ancFt3+BelXSB+9lhmUw5+yZmxtbW49g1uaRHJR2e2apkUkn27e9clxXODVcSBrgILcpCIDCBppqfwFh6zSdksIIMty3a97djq1Gv6Ab4ne80/1jteuyxx1TSAFe7MbWTJdAWAzwM8NfccYXTuG9qz7qs8MGZwvZ10NbnzOUyyJYVvljSopJs6UP/srO/15U0Z0ElMcAFgVG8OoFRE32NE2f1wVVoYRSXCk23omrb46KN+tekGQa4Fe94BtFmA2xrdJZ3WVjL8N4iyc5BPD8j+7wuu9t/3db9WvZ3CknPZ8ptIclOdZlKUpGfLjDAvMeCEfA5odc0kQZjM9iwT1bROl3TjdoYC23Uv8ZMcFQDfNZZZ8lXBnittdayd1Ws/tf0Dua2eQm01QDbet9LJe0gyTK+tuzhcklLDTzMZksnbM2wbVZtyyH6e/TZUojstb47wnA2SQ+NA9eyzfavf9kaoGvyikE5CIxHIOYk3jYTFJNd06MY7ZunYGTNYhnIXgLpt7/9rTcDvPbatikDBrh5ER6mx200wPamudrtsbeKW/8bywDv6U56CaMWrXaOQArGLfLk6l3jFBh6H1TABpuudx9Nl3SPrBkGOOD7j6bjEWibAZ5O0p/d1mfLSfq3Q9lfArGqexiuT9j3EggywPFit9V3SnHyjjzJetE3RY5eBha4kSZqnUXSVd0j6RbVAP/mN7/xlgFeZ53eeRax+h/4XUrzVQm0yQDbut2L3ObUttTBjirsX5O5Ywd3lHRI5nXbF/jsIQ/B2c4QN2TKHShpPR6Cqxpu1B9FoAkTd6RJdhSqXH9vAs9cA6mhUJN0xvy+SSCCbrEMZG8JBAa4hjd/R27ZFgNsm0//RtLSkizze+sQ/WwbtCnd3/t/PtkdnjG4DdqhknZ3hSZxD8qdxzZoHXlX1DDMJhq1CBNtJSWayLTSgD1XTl3fsYaL7sG3tItqgH/96197ywCvu65t5kQG2PNHRWOba4sBtj1/bacGe+jtigE1/i7phcxBGFb2dEkruFNZNnQPuPWr2QEYtpbXToO7yZleW0vMQRiNDfO0O97kCTtlk9RkrqlEbMr6DmOE5q9TCaxbVAP8q1/9ypsBXm89+yEXA5zK50vd/WiLAbZT4OYYA2Z/j1/7s+37O3gU8nED9YyJmeDBo5DttLmiF9ugFSXWsfJtmLADT7alI6INbEsP3lPFVLXF/OYTOJB+GOB8+CmVOIG2GOBUMWOAU1Wm5n610ZwFmmxLKdVGvqVAeKiUkq7jDQfNx6bjWcOoBvjMM8/0lgFef33b0ZQMsIePhVY0gQEOKyMGOCzfRrbe5ona80RbWt82My4NpWTFVDQdq/toPVpYzxpGNcBnnHGGNwP8mc98BgM8Olw6UwIDHFZqDHBYvo1rvQuTtefJtrDGXWBcGErFCnVrSua3ooBuXbC9NzxoiQGuLgctJEAAAxxWBAxwWL6Nar1LxszDJFta2y5xLg2pYMU69cT8FhQrR/GKekY1wKeffrq3DPAGG2xABjhHfHSlCAY4rNIY4LB8G9N6F01ZxUm2tLZdZF0aVs6KdWmJ+c0pUM5ipqOHLHB0AzzzzDPnHOHYxR5//HFhgCtjbFUDGOCwcmKAw/JtROtdNmSxjVOXWYd+M8TWEvMbTtGKWmKAw0lDyxEJYIDDwsYAh+WbfOsYsuB7kr4lBuAd7i1R0TR57Rg6V8NZUcuoBvi0006Trwzwhhvatv/sAlEtetpTGwMcVksMcFi+SbfOJP26PBUn20Iaw7wQrkKFY+pI9reQNKUKV9ATA1yKOJVSI4ABDqsIBjgs32Rbx4i9VZoKk20hjeFeCFehwrE0zNMpdM5DaXSZkppGNcC//OUvvWWAN9poIzLAo8OiMyUwwGGlxgCH5Zts60zQE0pTcrLNrTHMc6MqVTC0fnk7hc55SY1froKeUQ3wL37xC28G+LOf/SwG2E/4tKIVDHBYGTHAYfkm2ToT9NiyVJh0R2oN95GIKhcIqV+ezqFxHkr5y5TUEwOcHzElEyaAAQ4rDgY4LN/kWmeCDpZ1Gqk17EciqlygpGGqfN9+A2jsDWWVtflRDfCpp57qLQO88cYbkwH2F0KNbwkDHFZCDHBYvsm1zgQ9WpJQJgr2o9lXLRFKu7z9QuO8pPKXK6FpVAN8yimneDPAm2yyCQY4f2i0viQGOKzEGOCwfJNqnck5nxwlJtxcDcM/F6ZKhUJpl7dTaJyXVL5yJfXEAOfDS6nECWCAwwqEAQ7LN6nWmZzzy1Fy4h3zBrDPz75KSd+6FekLGhehlb9sCU2jGuCTTz7ZWwb4c5/7HBng/KHR+pIY4LASY4DD8k2mdSbnYlKUmHTHvQH8i/GvUtq3dnn7gsZ5SRUvV/CIZAxwccTUSJAABjisKBjgsHyTaZ3JubgUPo0U/IvzL1PDp2ZF74/GRYnlL19Q16gG+KSTTvKWAf785z9PBjh/WLS+JAY4rMQY4LB8k2idibmcDAUn3ZE3QYeRiCoX8K1Z3g6hbV5S5coV1DWqAT7xxBO9GeAvfOELGOByIdLKWhjgsLJigMPyTaJ1JufyMhSceMe9ETqU1yFvTZ965b2nlUPbIrSqlc2hMQa4GmJqJ0IAAxxWCAxwWL61t87EXE2CHJNt7hugRW5UlQr61CxvR9A2L6ly5VJeA2wZ4JlmmqncwDK1/vWvf4kMcGWMrWoAAxxWTgxwWL61t87EXE0Cn2YKLappkae2T73y3I/sb15K1coV1DVqBvjnP/+5NwO86aabGqhY/a8mCrWDE8AAh0WMAQ7Lt/bWMV3VJSg4+Y55Q7SorsWoFnxpNeo+g39H26LEipcfpq1xH/J6LAPZmz8xwMW1pEY+AhjgfJzKlsIAlyXXgHpMyn5E8mWq0MOPHmO14kunIr1E0yK0qpfNqXFUA3zCCSd4ywB/8YtfJANcPUxa0wIGOKyUGOCwfGttncnZD/6ck+7Im6HHSESVCvjSqWgn0LUosXLlC+iLAS6HmFqJEcAAhxUEAxyWb62tMzH7w19g8h3zpujhT49hLfnQqEwP0bUMteJ1Cugb1QAff/zx3jLAX/rSl8gAFw+N1tbAAIeVFgMclm+trTMx+8NfYPId96Zo4k+TwZZ8aVSmh+hahlr+OinvAnHcccd5M8CbbbYZBjh/WLS+JAY4rMQY4LB8a22dSdkffl/mCk38aZJtyZc+ZXqHpmWoFatTUN+oGWAMcDEtKZ2fAAY4P6syJTHAZag1oA6Tsl+RCk7AY94cXfzqkoIJRtNwmvZbLvj+i2qAjz32WG8Z4C9/+ctkgMOHU2Pu0FYDPLWk2yXNJmkJSX/LKLKGpL0lzS/pfkn7STp+QDHjspOkrSTNLOl6SdtJuqqgshjggsCaUpxJ2b9SBSfhoR1AF/+6WIs+tCnaM7QsSqxc+RLaRjXAxxxzjDcDvPnmm2OAy4VJK2u11QD/QJLteP2uAQO8rKRLJB0j6TRJK0raTdIGks7MKLyzpL0k2X9vlLS1pJUkLSLp7gKRgAEuAKtJRZmc/apVYhLGAPuVYMzWfGlTtru818qSy1evhL4Y4HxoKZU4gTYa4AVcxncHSUcOGOALJFl2eJmMLqc6Y7uQe21ySY9KOlzSru61SSXdIelclxXOKysGOC+phpVjUvYrWIlJeMwOoE262pTpGXqWoZavTsn3XVQD/LOf/cxbBniLLfcAKRoAACAASURBVLYgA5wvNDpRqo0G+CJJN0g6R9KfMgZ4MknPSvq2pIMz6q4p6SxJc0m612WFL5a0qFv60C96kKR1Jc1ZIDIwwAVgNakok7J/tUpOxhN0BG38aeNLk6o9QtOqBN9av+CuD4M3j2qAjz76aG8GeMstt8QA+w2lRrfWNgO8vqTDJM0nabEBA2wZ3lskrSbp/Ixq87rsbv91W/dr2d8pJD2fKWdfHY+SNJWk53KqjgHOCappxZiQ/Svmy2yhjT9tfGlStkf9o3jRtCzB4fUwwHrAL1FaayKBNhngKd2Db3tKOk7SxwcMsC17uFzSUgMPs80k6XFJm0iy5RC2JngPSbYUInuZuT7DPVj30BhiTyPJ/vWvWSRd08TAoM/jE2BC9h8hPs0W+vjRx6cmZXqEAS5DLV+dCtpGzwDPOOOM+QY1TqknnnhCZIArY2xVA20ywPtKWlnSRyS9VpMBNvP93VZFCIMZSgCD5T8wKkzIE3QGfarr41OPKr1Byyr0JqxbMftrDWKA/UpCazURaIsBnsMtY1hH0hWOpe348DtJK7iH4mZ3SyBWlWQPw/Uvn0sgyADXFMixb8uk7J+4T8OFPtX18alHld6QBa5Cb3jditpGNcBHHXWUfGWAv/KVr8Q08P6Fo0WvBNpigPvLHcaCc7Wk5d1DcDtKOiRT0PYFPnvIQ3C25Zk9TNe/DpS0Hg/BeY2/xjaGwfIvXcVJeYIOoVF5jXxrUb4nb9ZETx8UvezpHNUAH3nkkd4M8Fe/+lUMsJ8wakUrbTHA07mtzLKimIH9sSSLeFuHe53L/Npa4eUyBU92D8wNboN2qKTdXblJXIb5PLZBa0XcVx4Ek3FlhG9pIIThQqPyGoXQo3xvMME+2GXbqKgvBti3ILRXC4G2GOBh8AYfgrMy/YMwjpZ0ulseYQ+8begecOu3Ywdg2HpeOw3uJmd6V+EgjFpiNMmbYq78ylJxQh6zM+hUXKdQWhTvyYQ10LM6xaatAf7pT3/qLQP8ta99jQxw9RBqTQtdM8AmnO37O3gUsu0a8ZYvyO4UuMGjkK8sqDzboBUE1pTiTMR+lQpputAqv1Yhdcjfi/FLomd5kp70jZoBPuKII7wZ4K22sik92kN85YWiZhQCbTbAUQCOuAkGOAUVAvSBSdgvVE8T89BOoVV+rULqkL8Xo0ui6WhGw0p40hcDXA4/tRIjgAEOKwgGOCzf2lpnAvaL3tPEPGan0Gu0XqE1GN2D/CXQMz+rfkmP+kY1wIcffri3DPDWW29NBrh46LS2BgY4rLStNMBFJx+PH7xh1SrYelEOBZvvVPHQMYJWo8MptAaje1CsBJoW4+VRXwxwMfSUTpQABjisMI03wKEmGY8fxmEVHKf1UGxqG1CNN44RD+g1tsAx+PsOL/QsTtSTzlEN8GGHHeYtA7zNNtuQAS4eNq2tgQEOK20jDXDsicXTh3JYJYe0HptT9AFGumFM/dFsQlFj8vcdUuiZj6hnjaMa4EMPPdSbAd52220xwPlCphOlMMBhZW6MAU5lIvH8QR1U3VSYBR1khMZja45ub4oam32IcELP6Jl9DHCIQKbN6AQwwGGRJ2+AU508mjIxp8ovbFj7bb0OrdHNy4lgfgOhZGtoOTyrb1wCvbeiGuCf/OQn3jLAX//618kAl3yftbEaBjisqkkb4CZMHIE+wL2p3gSG3gYbqKG6NO6ydnUxDxRC6rKWw5gG1jeqAT7kkEO8GeBvfOMbGOBQb8IGtosBDitakga4iZNF4A/00lHQRJalBxugYt26dlG/upkHCKNek13UciyWgTXGAIcKYtqNSgADHBZ3cga4yZNE4A/10pHQZKalB+2pYgqadkm/FHh7Cp2hzXRJy7EyvwGXPvRvGd0AzzDDDJXD5sknnxQZ4MoYW9UABjisnMkY4DZNDKlN4m1iG/bt8NbWU9KxCxqmxDtUnHVBx/HYRdIYAxwqgGk3KgEMcFjcSRjgNk4KkT7oc0VHG/nmGnjFQilp2Oaf0FPjXDFsclXv0nuyBn2jGuCDDz5YvjLA3/zmNy1+YvU/V6xSqD4CGOCw7Gs3wG2eCGr44B8zWtrMOcRbJCXtsuNrm46pcg4RU23WMQ+viFrHMpC9+fPHP/6xNwO83XbbYYDzBFNHymCAwwpdmwFu20Q+lkwRP/THjZSu8Pb1dklFt7HG03Q9U+frK45GtdN0HUeNryadMcCjhOHvjSCAAQ4rEwY4LN9e6zVNAhOMrO2TrS8pU9Fr1HiaqmdT+I7i7+vvTdVx1Phr1DmqAT7ooIO8ZYC33357MsCjAqtDf8cAhxU7ugFu64f9KJlqnAze6FpX2Y/SZvDvKWhVpM9N0bVpXItoULVsUzQsMs4a9Y5qgA888EBvBniHHXbAABcJspaXxQCHFTiqAW7jh3wReWqcEDDBOYVKQaOcXW1Ehr/JPMvqUKVekz8jE9IaA1wlCKmbDAEMcFgpMMBh+U7Qet2TRJMn2NBS1a2Nz/HVrXObWPrUJW9bdeuXt59WzrSOsLdvkS5FNcA/+tGPvGWAv/Wtb5EBLqJ0y8tigMMKHM0AN+kDPSTyFIwBWgxXOAVtQsReLL3byi+EJnnajKVbnr6MVSZRzaMa4AMOOMCbAd5xxx0xwFUCsmV1McBhBY1igJvwQR4W81tbT2HSQJP0NIkRg751TyGWY3Cr8x6+NfMxlsR175oBXkDSoZKWlvSspBMl7S7pxRxaTyfpe5LWl2TH2T0o6QhJB+aoS5HABDDAYQFjgMPyHbP1uieQFCfVmqTo3bZuPeocu917VDx0nU/d+uTRKEYfGxIHUQ3wD3/4Q28Z4G9/+9tFM8DTS7pF0p2S9pU0m6SDJJ0saZsRMTGVpL9IelnSAZIelTSfpGkk/ShGPHGP8QlggMNGSHADPGpiDTu8dFtPYSJBm9fjIwUt0o1UepYigdjv3Ya9R7pkgHeRtJuk2SU96WJ1S5fFtdceGid+vy9pY0kflPTfFOO8633CAIeNgKAGOPaHdFhU/ltPYVLpukYpaOA/smixawR8vo9b8J6IaoB/8IMfeMsA77TTTkUzwJc547t2JuZtWYOZ4c0knTDOe+FhSYdJ2qdr75emjBcDHFYpDHBYviNbT2Gy8Tl5jhxwQgVSYJ8QDrrSYgLZXRoS27EhBPXoBnj66W0lQrXrqaeeUgkD/Jik4yTtPHB3W8t70pDX+8XmlHSPpK9K+pSkT7os8K8k2XnM/6k2Gmr7IIAB9kFx7DYwwGH5jmw9FRPWNROcCveRAUIBCECgKIGmG+AlJD2SGfQzkuzfsOslSXtI2n/gjzdLukKSLYcYdi0p6UpndH/tHpyb17VznqTPFoVOef8EMMD+mWZbDGaAu2aoqsiUihnrimap8K4SM9SFAATGJBDVAO+///7ylQHeeefBRG5vjHtJ2tOzAbYdI+wBuOskfTjT9uaSfiZpbkl3E2P1EsAAh+UfxAB3xUj5kiYlQ9Z27VJi7St+aAcCEHgLgagGeL/99vNmgHfZxZ5pU5EMsC2BOFZSr2LmGrUEYkFJt7rtznqnb7hrLmd815T0O+KqXgIY4LD8McBh+eZuPSVj1lYTnBLj3IFBQQhAoCiBphvgIv23h+CekLROBtK0kp4a8RDcpG5ZhT0EN8wAbyDpjKLgKe+XQNsM8KaSvinJvn3ZIvNrJK0r6TmHbQ1Je0uaX9L9kvaTdPwAUmNij4puJWlmSde7RetXlUCPAS4BLUSV1MxZm0xwamxDxA9tQgACbxAoYiCrYOvNn/vuu6+3DPCuu+5q/SnSf8v8WiWr87QbjC1jONJtjTbeNmhnu3qLZiDYmuGjJM0j6a4qcKhbnUCbDLDt1WfG1TartsXnM0n6hCTb+drM8LKSLpF0jKTTJK3o9vezb2JnZlDaIiFbE2T/vVHS1pJWkrRIiTU73g1wm4xT9fDN30KKJq0NWqbINX9UUDIPgaJxSkzkodroMkUMZJWBpmCA+wdh3DFwEMYpAwdh2DIJS8BNnBmwrf21B+XMX/xckj0EZ0k3W/qwSRUw1PVDoC0G2DK69lSmrauxJyyHXRdImlrSMpk/nuqM7ULutcndaS2Hu2999rL9lGHBf67LChchjwEuQitw2VQn5qIGIzCm3M2nyjP3ACg4AYGQsUi8tCbgohrgffbZx1sGeLfdLE9WKANs5e0X5cGjkK2h7FHIth+wGeBBT2VJONtB4gNu2YQZZ6v7QmuiocEDaYsBtgCzpQ52zOCwazJ3hrdlgw/OFDDDfJYkW5h+r8sKXyzJfrKwpQ/9y44+tPZtb78iFwa4CK3AZVOegEMaD99YU+boe6xdaK+O2COGGh1ZUQ3w3nvv7c0A77777mUMcKPFovNjE2iLAbalDbZQ/e+Svi7JTmqx9b/bS7pakmV47Tzv1SSdn8FhP0lYdrf/uq37tezvFJKez5Tbwq3bsbO9++uJ88SVVwNcx0SVZ5BNKdOESTdljZvArymxWHc/U4oz4qruaCh8fwxwYWRUSJFAWwzw7ZJmk2RHD9qC9f+5/9rPDmZy7d/lkpaSlH2YzdYJP+7W49hyCPtpwja9tqUQ2Wt998Sm3WO8Re/TSLJ//WsWZ8S9aJ/SpOVlQDU00pTJNiWtm8KshnBq3C1TiqtBeMRZY8IpqgH+/ve/7y0DvMceNr0XXgLRGGHoaDECbTHAlsU1k/sh9+CaUZjBLWv4saQLIxlg20z7u8UkyF865ckr/yjqLdnESbYO3ZvIqd7ISvvudcRQWSLEXlly0epFNcDf+973vBng73znOxjgaGGS/o3aYoBtmYOdrGIZ3ex1qaR/uayuLYFYVZI9DNe/fC+BCJYBbtIElnrYN3mCDRkHTeaSeszV1b+Q8RJ6TMRjaMKl28cAl0ZHxZQItMUAH+d2gBhmgG0LNHuA7VlJO0o6JCOA7Qtse/UNPgRnW57dkCl3oKT16nwIrskTWUoBb31p08RaJS7axCG1GEuhP1ViI4X+9/tAnKakRq8vUQ3wXnvt5S0D/N3v9n6gjdX/5ISjQ28l0BYDbAb3VwO7N8yYWQJhv3tY5ndKSctlEJwsaTH3kJy93N8GzbY86T0uKmkS96Ccba9mD8kVubw9BNeWyawIvFBlmVBDkaXdFAi08bOC92wKkfVGH2IZyN78iQFOSvtWdaYtBngi93Cbrfu1B9lspwY7wcWWOCws6ZHMQRhHSzpd0gpuacSGA0cS2gEYtpbXDtW4yZneVeo+CKONk1pd7yQm07rIc9/QBNr+OcF7N3QE5Wo/ugGebjrb2Kna9fTTT4sMcDWGbavdFgNsutjyB3vgzZY12OEVf3ZHGN+aEc32/R08CtmWT2QvY2ImePAoZDtdruhFBrgosQjlmUQjQOYW0Qm03fz2gfL+jR5agzeMaoD33HNP+TLA1hZLIGqPn2Q60CYDnAzUTEcwwAmqwgSaoCh0qRKBrphfTHClMPFVGQPsiyTt1EoAAxwWPwY4LN9SrWOAS2GjUoIEumZ8ByXgvVxLUEY1wLZswVcG2NYTkwGuJWaSvCkGOKwsGOCwfEu1zqRZChuVEiPQdfNrcvBeriUooxpg27vXlwG2PYUxwLXETJI3xQCHlQUDHJZvqdaZNEtho1JCBDC/b4rB+zl6YGKAoyPnhiEIYIBDUH2zTS8GmMnOr0hMmH550lpcAnweTMib93TUGIxqgO34Yl8ZYDtWmQxw1FhJ+mYY4LDyYIDD8i3VOpNlKWxUSoQABni4ELyvowVoVAO8++67ezPAe+9tm0BxEEa0SEn8RhjgsAJ5McDWRSY9f0IxUfpjSUtxCfA5MD5v3ttR4hEDHAUzNwlNAAMcljAGOCzfUq0zSZbCRqWaCWB+8wnA+zsfpwqlohrg3XbbzVsGeJ999iEDXEH4tlXFAIdVFAMclm+p1pkgS2GjUo0EML/F4PMeL8arYGkMcEFgFE+TAAY4rC4Y4LB8S7XO5FgKG5VqJIABLgaf93gxXgVLRzXAu+66q7cM8L777ksGuKDYbS6OAQ6rLgY4LN9SrTM5lsJGpZoIYH7Lged9Xo5bjlpRDfAuu+zizQDvt99+GOAcAnelCAY4rNIY4LB8C7fOpFgYGRVqJoABLi8A7/fy7MapiQEOgpVGYxPAAIcljgEOy7dw60yIhZFRoUYCmN9q8Hm/V+M3Ru3oBnjaaaetPJB///vfIgNcGWOrGsAAh5UTAxyWb+HWmRALIwteIa/J65p2ebkEF6jhN+ha3ESQK6oB3nnnneXLAO+///6GJ1b/I0jBLaoQwABXoTe6rjcDbLdiQhwNfFQJJsNRhML9PUT8tlnPELzCqZtuy22OkZqoxzKQvfkTA1yTyh24LQY4rMgY4LB8C7fOZFgYWaUKsU1cm/SNza6S0IlXblNcJIA6qgHeaaedvGWAf/CDH5ABTiCAUukCBjisEhjgsHwLtc4kWAhX6cIpGLema50Cw9IBkGDFpsdDYkgxwIkJQnfKEcAAl+OWtxYGOC+pCOWYBMNBTtWwNVXzVHmGi6DwLTc1FsKTKXyHqAb429/+trcM8A9/+EMywIXlbm8FDHBYbb0aYOsqE2N5wZgAy7Mbq2ZT4rFJ2jeFqf9oCttik2IgLInKrUc1wDvuuKM3A3zAAQdggCvL354GMMBhtcQAh+Wbu3Umv9yochVssklLPRaazDZX8NRUKHXda8JS5rYY4DLUqJMcAQxwWEm8G2CywOUEY/Irx21YrTYYtJTjoQ18/UWb35ZS1t3vSIO2FtUAf+tb3/KWAf7Rj35EBjhoaDSrcQxwWL0wwGH55mqdSS8XppGF2mjMUouNNjIeGVgRC6Smd8Sh+7xVVAO8ww47eDPABx54IAbYZyQ0vC0McFgBMcBh+eZqnUkvF6ZxC7XZmKUUH23mXD0Kq7eQktbVR1NbCxjg2tBzY58EMMA+aU7YVhADbLdhoswvHJNeflaDJbsUZynESZd4l4/KajVT0LnaCGqvHdUAb7/99t4ywAcddBAZ4NrDJ50OYIDDaoEBDst3ZOtMdiMRjVmgi2as7njpIvPyEVquZt0al+t1UrUwwEnJQWfKEsAAlyWXr14wA0wWeLQATHSjGY1VostGrM646TL38tFarGad+hbrabKloxrg7bbbzlsG+Mc//jEZ4GTDKn7HMMBhmWOAw/Idt3UmunLwMWFSHbED93LxWrRWHdoW7WPi5aMb4GmmmaYykmeeeUYY4MoYW9UABjisnEENMFngscVjkisX2JiwN7nFjiHYl4vZorVi61q0fw0ojwFugEh0cTQBDPBoRlVKBDfAmOAJ5WGCKxeyGLB6Ywn+5eK2aC0+H4oSm6B8VAP8zW9+U74ywAcffLANJlb/K4OmgbAE2mSA15S0m6SFJP1H0p8l7Szp7gGEa0jaW9L8ku6XtJ+k4wfKGJedJG0laWZJ10vaTtJVBeXAABcE5qM4E1xxipiv+n9NQIPicVu2Bp8RZcn16sUykL358xvf+IY3A3zIIYfE7H8lyFQOT6AtBvjjki6WdKKkUyTNKOl7kt4u6QOSnnMol5V0iaRjJJ0maUVnmjeQdGYGtxnnvZyBvlHS1pJWkrTIEEM9nkpRDDBZ4DclYGIr/qGB8RrNLEZcocNoHXyViKGnr74m2A4GOEFR6FJxAm0xwEdKWkXS3LZFrsOwgqQ/SvqYywbbyxdImlrSMhlUpzpja5ljuyaX9KikwyXt6l6bVNIdks51WeG8pKMZYExwPQ8u5Q2ElMthvEarE8MwocNoHXyViKGnr74m2E5UA/z1r3/dWwb4Jz/5ieGM1f8EpaNLWQJtMcDHSlpc0ocyg1tM0rWSlpd0maTJJD0r6duSeguB3GVLJ86SNJeke11W2LLJi7qlD/1ytoP2upLmLBBCUQ1wl00wE1qBqMwUxXTl5xY6xtAivxZVS4bWsmr/Eq8fy0D25s9tt93WmwE+9NBDMcCJB1fM7rXFAC/nsr3fyCyBOELSOyUtIekVtzb4FkmrSTo/A3lel93tv27rfi37O4Wk5zPltpB0lKSpMksqRmmFAR5FyMPfmczKQcRwFecWMtbQo7geZWuE1LFsnxpUDwPcILHo6tgE2mKAbYSflmTLGd7hhmsPrq3qljPYS7bs4XJJSw08zDaTpMclbeLq24N0e7ilEFly60s6Q9Jskh4aA6ltVpjdsHAWSdfEDsAuTaRMZOWjq0txUp7ShDVDxRx6+FRp/LZCaRhvBLXeKaoB3mabbbxlgA877DAywLWGTlo3b4sBXlrS7yUdJ+kc9xCcmdiXJFl22B6Ci2GA95T03RQk7sJkyiRWPtK6EB/l6dRjntAklGLxvsTEG0Gtd8IA14qfm/si0BYD/DdJ90laLwPGlh/YNmdflXR0ZgmEZYXtYbj+5XMJRBIZ4GxwtHVSxfyW/whoa0yUJ1K8Zoj4Q5fiOpStEUK/sn1pYL2oBnjrrbf2lgE+/HBb3chDcA2MuSBdbosB/p+k/d3WZ1lQj7k9fm1P3/5DcDtK6m0G6C7bF/jsIQ/B2ZZnN2TKHegMdtIPwQ2LkjZNrExc1T8H2hQP1WmUayFEHKJLOS3K1AqhX5l+NLROVAO81VZbeTPARxxhjwZhgBsad9673RYDfJuk2yWtkyE0h6R73B6+P3WvW+Z3Srcsol/0ZEm2Y8TgNmj2uOjurtAk7kG581LeBm286GjD5MqkVf3934Y4qE7BTwu+4xFt/OiSpxXf2uW5Z4vKYIBbJGaXh9IWA2y7P9jWZrbJ3+/cGmAzr3aK2/slPeFE7h+EYUsiTpdkewXbWuEN3QNu/ViwgzBsPa9ljm9yptf2GU72IIw8QdzkCZYJK4/Co8s0OQZGjy5+CZ9xiTbx9POpW7xeJ3OnqAb4a1/7mrcM8E9/2suFxep/MoLRkeEE2mKAbRxfkfQ1dxiG7fd7pTvIwjLD2cv2/R08Ctkenste1p6Z4MGjkK3NIlf0bdDydK5JEy0TVR5F85Vpku75RlR/Kd/xiUbhNfWtWfgeJ3eHWAayN3+aAX7HO/qbO5Vn8eyzzwoDXJ5fG2u2xQCnqk2SBthgpT7RMkn5D+nUNfc/4jgt+oxVNAqvmU+9wvc2yTtggJOUhU4VJYABLkqsWPlkDXB/GKlNuExOxQIsb+nUdM7b7yaU8xmz6BRecZ96he9tkneIaoC/+tWvessAH3nkkQY0Vv+TFI9OvUkAAxw2GpI3wKkYYSalsIGIsQrH12fsolM4nfot+9QrfG+TvEMsA9mbPzHAScZAKzqFAQ4rY2MMcB1GmIkobPBlW8dYhWXtK5bRKaxO1rovrcL3NNk7RDXAX/nKV7xlgI866igywMmGVfyOYYDDMm+cAQ5tmph8wgbcsNYxVeGZ+4xr9Aqnl0+dwvUy+ZajGuAtt9zSmwE++mjbAIolEMlHWKQOYoDDgm60AfZhpphwwgZYntYxVHkoVSvjM87Rq5oW49X2qVO4XibfMgY4eYnoYB4CGOA8lMqXaZ0BLo+CmnURwFDFIe/LXKFXOL18aRSuh41oOaoB3mKLLbxlgH/2s5+RAW5EiMXpJAY4LGcMcFi+tJ6DAIYqByQPRXyaKzTzIMiQJnxqFKaHjWg1qgHefPPNvRngY445BgPciBCL00kMcFjOGOCwfGl9BAGMVLwQ8Wmu0M2/bj718d+7RrWIAW6UXHR2LAIY4LCxgQEOy5fWMcDJxIBPg4UB9i+rT338965RLUY1wF/+8pe9ZYCPPfZYMsCNCrWwncUAh+WLAQ7Ll9YxwEnFgE+ThQn2J61PXfz1qrEtYYAbKx0dzxLAAIeNBwxwWL60jgFOKgZ8Gi0MsD9pferir1eNbSmqAd5ss828ZYCPO+44MsCNDTv/HccA+2eabREDHJYvrY9DAAMVPzx8Gy00rK6hb02q96jxLUQ1wF/60pe8GeDjjz8eA9z48PM3AAywP5bDWsIAh+VL6xjgpGLAt9nCAFeX17cm1XvU+BYwwI2XkAEYAQxw2DjAAIflS+sY4KRiIITZwgSXlziEHuV705qa0Q3w1FNPXRnef/7zH5EBroyxVQ1ggMPKiQEOy5fWMcBJxUAow4UJLidzKD3K9aY1taIa4C9+8YvyZYBPOOEEEyFW/1sjeFsHggEOqywGOCxfWscAJxUDoQwXBri4zKG0KN6T1tWIZSB78ycGuHXxk8yAMMBhpcAAh+VL6xjgpGIgpOnCBBeTOqQWxXrSutJRDfCmm27qLQP885//nAxw68Kx/IAwwOXZ5amJAc5DiTJBCGCYgmAdt9HQpgtN82kaWod8vWhtqagG+Atf+II3A3ziiSdigFsblsUHhgEuzqxIDQxwEVqU9UoAs+QVZ67GQhsvNB0tQ2gNRveg9SW6ZoAXkHSopKUlPSvJXPTukl4soPTakn4j6RZJCxeoR9GABDDAAeFKwgCH5Uvr4xDALMUPjxjmC13H1jUG//hRldwdoxrgz3/+894ywCeddFLRDPD0zrTeKWlfSbNJOkjSyZK2yanMFJJulWT//RcGOCe1CMUwwGEhY4DD8qV1DHBSMRDLgGGCJ5Q9FvukAq6eznTJAO8iaTdJs0t60uHeUtIR7rWHckjwPUnLS7pH0uIY4BzEIhXBAIcFjQEOy5fWMcBJxUBME4YJfqv0MdknFXTxOxPVAH/uc5/zlgE++WRL3BbaBu0yZ3xtCUP/ms69tpmk3r5q41xzS7rRLZ/YDgMcP1jHuyMGOKweGOCwfGkdA5xUDMQ2YZjg1+WPzT2poIvfmagGeJNNNvFmgE855ZSiBvgxScdJ2nkA84OSbD3F4OuDapxjW7lJ+pozy2SA48frmHfEAIcVAwMcli+tY4CTioE6jFjXTXAdzJMKuvidaboBXkLSIxlsz0iyf8OulyTtIWn/gT/eLOkKSbYcYqxrDUm279p8bu2vZYsxwPHjFQNcE3MMcE3gue3rBLpujmLHQV1mcTH8UAAAIABJREFUrKs618U7dlwldr+oBnjjjTf2lgE+9dRTh6HcS9Keng3w5O7huYPdDhLWPAY4sUAmAxxWEAxwWL60PoJAV41RXYFRpyHrktZ1cq4rthK6b1QD/NnPftabAf7FL35hGItkgG0JxLGS7GG47DVqCYQtjfiypKUkvewq2oNzi7j1wP8ruI1aQvK3pysY4LBaYoDD8q3cug/TkPJk7GN8lSF3qIG6Y6ELetfNuEPhPNZQm26Ai/TfHoJ7QtI6GRjTSnpK0ngPwVm2d9NxYsXWBB9JLNVLoAkGeB5J35K0pNs+5PYxthGx9TZ7S5pf0v2S9pN0/ABeG+9OkraSNLOk6yXZk5lXDZSzALe9/izoJ5F0gaRtJT1cUC4McEFgoYvHMAgpTdAxxhtasya1n4r2bdQ9FbZNisdAfS1iIKt0oTd/WgZ4qqmmqtJOr+5///tfuQxwkf5b5ndXt3PE064TmzvzalujjbUNmh2eMctApy0rbP7kS5LuGKdu5bHSQD4CTTDAa0k6TNLVbjH5REMM8LKSLpF0jKTTJK3o9u7bQNKZGRQWgLbex/5rW5NsLWkl97PE3Zly50t6v6QdJD0vaR9Jr7gF7P2fM/IQxgDnoRS4TJ1moO5Ju86xB5Y1yebr1jsLpU3ap8Q1ycCL26kiBrJKz1IwwP2DMMywZg/CsO0ksgdh2DIJy/hOPM6AWQNcJRoC1G2CATbD+6ob+1gBZBnaqSUtk2Fkq91tvc1C7jVblP6opMPdNzp7eVL3TexclxW212zNjj3d+UlJF7q69q3tNkkbSTq9gA4Y4AKwfBdNyQDUNYGnxMC3vqm1V5fGozg0OQZSZTqKecv/HtUAb7TRRt4ywL/85S9NmqL9X3DIUch2OEb2KOT+kofxPBUGOLE3RhMMcBbZsACazJ3P/W1J9sRl/1pT0lmS5pJ0r8sKXyxpUbf0oV/OljqsK2lO94Kd2mLLHWawh+gz7V3nssZfLKAhBrgALF9FU57w65jQU+bhS/MU2qlD27zjbmIMpMwzL/eWlitqIMti6M2fG264oTcDfNpp9gNxYQNctv/US5xAGwywZXhvkbSaJFu60L/mddnd/uu27teyv3Yety1r6F9bSDpKki0yes5leG1tj605zl72k4ed6jL4+ngSY4AjvwGaMNHHntibwCRymAS5XWxdywyiCbHQBI5l2LeoDga4RWJ2eShtMMC27OFyt3Qh+zDbTJIel7SJJFsOYT9Z2IbWthQie60v6QxJs7lF6Re59b6rDpSzdciruHXIY8XMNJLsX/+yRfDXdDnAYo29CRP7IItYE30T2cSKG5/3iaWnrz6nFhdN4+dLhwa2E9UAb7DBBt4ywKef3lvBGKv/DZS2W13GAEs+DbBtpv3dboVQvaNNbRIvQyPGxN8GTmXYxqoTQ8NQY6kzNprMLZQeDWg3loHs/YL6mc98xpsBPuMMy3VhgBsQY1G62AYD3F8CYRlbexiuf1VZAmFvcHsYLnvlWQJBBjhK2L5+kzonbt/DDG0E2sTKN3sf7YXWz0cf87QRI07awioPz5aWwQC3VNiuDasNBrj/ENyOkg7JCGj7Ap895CE42xnihky5AyWtN/AQnG1vMuPAQ3DXSrpJEg/BJfAuiTFRxx5mSGPQRl6x9RnvfiG1q3OcPuKmrWzq1KXme0c1wOuvv763DPCZZ/Z2RY3V/5pl4vajCLTBANsYLfM7paTlMgM+WdJiQ7ZBO1TS7q6cHXJh+/udN2QbtJUl/cGVm0+SHcDBNmijIirC331MyhG6WeoWIc1Cm7mVgu2pUkjNPHWRZiDgk0AsA9lbAoEB9ikdbWUJNMEAm7Fd3XXaDq6wnRi2d///UvegW/8gjKPdLg4ruAfeNnQPuPXHbAdg2DpdOw3Osrm2M4Q92GZZ4cGDMGxpRfYgDNuLePHMud55IoldIPJQKlCmKyYuhKnqCrsC4eSlaAitvHSMRiAQhkBUA7zeeut5ywD/6le/MiKx+h+GPq16I9AEA2z7894zxojN6NoJcHbZvr+DRyEfN1DPxmsmePAo5CsHyvWPQrb9ge1kFzsQw/YGHuvYw7EEwQB7C9V2rfnNg8W3scIA56FerIxvjYrdndIQqIVALAPZmz/XXXddbwb417/+NQa4lpBJ86ZNMMBpksvXKwxwPk4jS3XRvIUwV13kODK4KhQIoVGF7lAVAjEIYIBjUOYewQlggMMixgB74Ntl0+bbYHWZpYdQnKAJ3/qE6CNtQsAzgagGeJ111vGWAf7Nb35DBthzMDS5OQxwWPUwwBX5Ytgk3yYLphWD0lX3rYufXtEKBIITiG6Ap5zSHgWqdv3vf/8TBrgaw7bVxgCHVRQDXIEvRu1NeL7NFmwrBKb8fymp1htqQyAqAQxwVNzcLBQBDHAosq+3iwEuyReDNiE4nyYYviUDk+xvNXDUbgOBqAZ47bXXlq8M8G9/+1vjH6v/bdC61WPAAIeVFwNcki8GLawBttZhXC44fX4RKdcDakGgVgKxDGRv/lxrrbW8GeCzzjoLA1xr6KR1cwxwWD0wwCX4YszGhubTfMG5RHCy/KEcNGq1iQAGuE1qdngsGOCw4mOAS/DFmI0PDRNcIqg8VfHJ3lOXaAYCsQlENcBrrrmmtwzw2WefTQY4drQkfD8McFhxMMAF+WJ+RwPzbcJgPpq5lfDNPd9dKQWB5AhggJOThA6VIYABLkMtfx0McH5WrEktwMq3GcMEx8u6F5CZohBIkUBUA7zGGmt4ywD/7ne/IwOcYkTV1CcMcFjwGOACfDFh+WFhgPOz8lHSN28ffaINCNREIKoB/vSnP+3NAJ9zzjkY4JqCJsXbYoDDqoIBzskX85sTVKaYb1OGBsM18M25uNLUgEBSBDDASclBZ8oSwACXJZevHgY4HyeWP+TklC0Wwphhgt8qRAjGJaSmCgRSIhDVAH/qU5/ylgH+/e9/TwY4pUiquS8Y4LACYIBz8sV45QQ1UCyEQUOL1yGHYFtOZWpBICkCUQ3w6quv7s0An3vuuRjgpEKp3s5ggMPyxwDn4IvhygFpjCKhTFqXNQnFtLzK1IRAUgQwwEnJQWfKEsAAlyWXrx4GOAenLputHHjGLRLSrHVVl5BMq+pNfQgkQCCqAV5ttdW8ZYDPO+88MsAJBFAqXcAAh1UCAzyCb1dNls+wC2nYuqZPSJY+NactCNRIAANcI3xu7Y8ABtgfy2EtYYAxwGEjLMJa1S6YYIxv8DDlBu0hENUAr7rqqt4ywOeffz4Z4PbEYeWRYIArIxy3AQwwBjhshEUwwP0BtNUIY36Dhyg3aBeB6AZ4iimmqEzwueeeEwa4MsZWNYABDisnBngcvm01VGFDasLWYxq4tmkWk13suOB+EAhEAAMcCCzNxiWAAQ7LGwOMAQ4bYa712Eau6UY4Nq8oQcBNIBCHQFQD/MlPflK+MsAXXHCBEYrV/zhqcJfSBDDApdHlqogBxgDnCpSqheoydE00wnWxqqox9SGQCIFYBrI3f66yyireDPCFF16IAU4kiFLoBgY4rAoYYAxw2AirKQM8OKgmGGGMb5RQ5CbtJ4ABbr/GnRghBjiszBhgDHDYCEvEAPcHmaIRxvhGCUFu0h0CUQ3wyiuv7C0DfNFFF5EB7k6cjhwpBngkokoFMMBj4EvRKFVSuubKqZm8uvVNjUfN4cHtIeCTAAbYJ03aqo0ABjgsegwwBjhshCWWAR5rsDEMMaY3SqhxEwhENcArrbSStwzwH/7wBzLAxO8bBDDAYYMBA4wBDhthmdabZACrGuImjTVaAHAjCMQhENUAf+ITn/BmgC+++GIMcJwYacRdMMBhZcIAY4DDRlhDDXA0KNwIAhDwTQAD7Jso7dVCoAkGeB5J35K0pKSFJd3u/tsH9nZJO0paU9IC7sUbJH1H0p8HqNp4d5K0laSZJV0vaTtJVw2Um1bSQZLWkTSJJNs8cFtJDxdUCQOMAS4YMuWLkxUtz46aEIBAbgJRDfCKK67oLQP8xz/+kQxwbpnbX7AJBngtSYdJulrSfJImGjDAU9tegZJOkGQLfF6RtKUzxKtI6kW8u3aWtJck+++NkraWtJKkRSTdnSlnB4a/X9IOkp6XtI9rd3FJLxcICwwwBrhAuFQrigGuxo/aEIBALgJRDfAKK6zgzQD/6U9/wgDnkrgbhZpggM3wvurkMJNrJtQywf3LMsDTSHpq4LWbJf1T0hru9cklPSrpcEm7utcmlXSHpHNdVtheXkrSFZI+Kam3a7ak+SXdJmkjSacXCA0MMAa4QLhUK4oBrsaP2hCAQC4CGOBcmCiUOoEmGOAsw2EGeCzGp0my5RMfdgVWlGQr4Bd1Sx/69Wypw7qS5nQvfM8td5hB0muZxq9zWeMvFhAVA4wBLhAu1YpigKvxozYEIJCLQFQD/PGPf9xbBviSSy6xAcbqfy6YFKqPQFsN8MSS7nJrgD/n8Nq6X8v+TuGWNfSpbyHpKElTSXrOZXhnd2uOs8qcImnuIa+Ppx4GGAMc7d2NAY6GmhtBoMsEYhnI3vxpBnjyye0H3GrX888/LwxwNYZtq91WA2xLHCyT+1FJ1zrRdpO0h6TBd9L6ks6QNJukhyTZUTG2jnjVAbFtHbKtKbZ1yGNdthTD/vWvWSRd07ag8TGeqttg+ehD29rAALdNUcYDgSQJYICTlIVOFSXQRgO8slvT+31ngvtMYhjgPSV9t6gIXSyPAfavOgbYP1NahAAEJiAQ1QAvv/zy3jLAl156qQ0mVv8JncQJtM0ALybJFvn8RtKmA+yLLIGwN4g9DJe98iyBIAOcM+AxwDlBFSiGAS4Ai6IQgEBZArEMZG8JBAa4rEzUG0WgTQbYHnj7i6S/u50fXhoYfP8hONvyzPYJ7l8HSlpv4CG4bSTNOPAQnC2luEkSD8GNiqocf8cA54BUoAjmtwAsikIAAlUIRDXAH/vYx7xlgC+77DIbd6z+V2FM3QgE2mKAZ3Xm9wlJK0j6zxB2/W3QDpW0u/u7HXJh26CdN2QbNFtK0Ts43K37tQM42AbNY1Bigv3BxAD7Y0lLEIDAuARiGcheBni55ZbzZoD//Ofe2Vix+k8YJU6gCQZ4SkmrO452cIXtxLC9+/+2oMfM7pWS3idpE0mPZ5i/4DLC/ZfsAAxbp2unwVk215ZF2INtww7CWGjgIAzbi5iDMDwGNAbYH0wMsD+WtAQBCGCAiYH2E2iCAbb9ee8ZQwrL9t47zt/vyyxtsCZsvGaCB49CNgOdvfpHIdv+wLalmh2IYUch2y4RRS62QRuHFga4SCiNXxYD7I8lLUEAAukY4GWXXdZbBvjyyy+3gZEBJsB7BJpggJssFQYYAxwlfjHAUTBzEwhAIJ6B7M2fyyyzjDcD/Je/2GNCGGCC+HUCGOCwkYABxgCHjTDXOgY4CmZuAgEIxDOQGGCiLSgBDHBQvMIAj+DLMojqAYj5rc6QFiAAgdwEYi0h6M2fSy+9tLcM8BVXXEEGOLfM7S+IAQ6rMQYYAxw2wuxnnLfxNg4OmRtAAAJ9AhhgYqEVBJg5w8qIAcYAh40wDHBwvtwAAhB4C4GoBnippZbylgG+8sre8+6x+k/YJE4AAxxWIAxwDr4sg8gBaYwiZH/Ls6MmBCBQikAsA9mbP5dccklvBviqq67CAJeSvJ2VMMBhdcUA5+CLAc4BCQNcHhI1IQABnwQwwD5p0lZtBDDAYdFjgHPwxQDngIQBLg+JmhCAgE8C0Q3wZJNNVrn/L7zwgsgAV8bYqgYwwGHlxADn5IsJzgkqU4zlD8WZUQMCEKhMIKoB/uhHPypfBvjqq6+2wcfqf2XQNBCWAAY4LF8McE6+GOCcoDDAxUFRAwIQ8EkgloHszZ8YYJ/S0VaWAAY4bDxggAvwxQTnh0X2Nz8rSkIAAl4JRDXAH/nIR7xlgP/617+SAfYaCs1uDAMcVj8McAG+GOB8sDC/+ThRCgIQCEIAAxwEK43GJoABDkscA1yQLyZ4NDAM8GhGlIAABIIRiGqAl1hiCW8Z4GuuuYYMcLCwaF7DGOCwmmGAC/LFAI8PDPNbMKAoDgEI+CYQ1QAvvvji3gzw3/72Nwyw72hocHsY4LDiYYBL8MUEjw0NA1wioKgCAQj4JIAB9kmTtmojgAEOix4DXJIvJnhCcJjfksFENQhAwCeBqAb4wx/+sLcM8LXXXksG2GckNLwtDHBYATHAJfligDHAJUOHahCAQFgCUQ3wYost5s0AX3fddRjgsLHRqNYxwGHlwgBX4IsJfhMe2d8KgURVCEDAJwEMsE+atFUbAQxwWPQY4Ip8McES5rdiEFEdAhDwSSCqAV500UW9ZYD//ve/kwH2GQkNbwsDHFZADLAHvl02wZhfDwFEExCAgE8CUQ3wIoss4s0AX3/99Rhgn5HQ8LYwwGEFxAB74NtVA4z59RA8NAEBCPgmgAH2TZT2aiGAAQ6LHQPsiW/XTDDm11Pg0AwEIOCbQHQDPOmkk1Yew4svvqiSGeAFJB0qaWlJz0o6UdLukl4cp1PTSPqWpE9JmlfSc5LsHOZdJd1UeTA04IUABtgLxjEbwQB75NslE4wB9hg4NAUBCPgk0CUDPL2kWyTdKWlfSbNJOkjSyZK2GQfqwpIuknSspMskTe4M8YclLS7pNp+C0FY5Ahjgctzy1sIA5yWVs1zbTTDGN2cgUAwCEKiLQFQD/KEPfUi+MsA33HCDMSvS/10k7SZpdklPOuBbSjrCvfbQGCJMJek1Sf/L/H1qSfdJOlXStnWJx33fJIABDhsNGOAAfNtqgjG/AYKFJiEAAd8EihjIKvfuzZ8f/OAHvRngG2+8sagBtuytGd+1MwOZzr22maQTCg7wakkPSFqvYD2KByCAAQ4ANdMkBjgQ37aZYMxvoEChWQhAwDeBLhngxyQdJ2nnAYgPSjppyOvjsTbjbPV+7NYQ+9aF9goSwAAXBFawOAa4ILAixdtigjG/RVSnLAQgUDOBqAb4Ax/4gLcM8E039Z4/W0LSIxmGz0iyf8OulyTtIWn/gT/eLOkKSbYcIu91tKSNJdlDdZYF5qqZAAY4rAAY4LB8e6031QhjfCMEB7eAAAR8E4hqgBdeeGFvBvjmm823TnDtJWnPwAb4Sy6T/EVJP/ctCO2VI4ABLsctby0McF5SFcs1zQRjfisKTnUIQKAuAk03wEUywLYEwnZysIfhsleRJRCrSTpb0n6SvlOXaNx3QgJNMMDzuO1DlpRkW4vc7v47lp62zYjtt2f77tlTl9nLxruTpK0kzSzJjoXZTtJVA+WmdVudrCNpEkkXuKc2Hy4YRBjggsCqFk/dCGN8qypMfQhAoGYCUQ3w+9//fm8Z4FtusR3NCu0CYQ/BPSHJvED/Mn/wlKQ8D8GZb7lY0i8kbV6zbtx+iCFMHcpakg6TZE9PzidponEMsBlcW5czlzO/gwbYFrLbzx32X3scdGtJK0laRNLdGRDnS3q/pB0kPS9pH0mvuP37Xi4ADANcAJbPoqkZYYyvT3VpCwIQqJFAlwywZX7t8Aob89OOuRnZI0dsg2ZFF5L0Z+dJzEAX8Q41ytudWzchA2yG91UniW05YptIWyZ42GXfyCxgz5D09YEMsG1E/aikw11AW307XuYOSee6rLC9tpQL2E9KutDdZH63cfVGkk4vEB4Y4AKwQhSt2whjfEOoSpsQgECNBKIa4IUWWshbBvjWW281bEX63z8Iw3xC9iCMUwYOwrBlEptKmtjp8k5J10oyj/WFgf2A7YG7Xke46iXQBAOcJTSeAbYtRixIzQSbSbZjCLMZ4BXdTxGLuqUP/XbtVJd1Jc3pXvieW+4wg9vIul/uOpc1tkXseS8McF5SEcrFMsOY3ghicgsIQKAuAkUMZJU+9ubPBRdc0JsBvu223gFsRfu/4JCjkO1wjOxRyOZNzAD3PdXHJf1pjMFfKsn+zlUzgTYZYFsmMbckW3BuT3QOGmBb92vZ3yncsoY++i0kHSXJTm6xdcOW4bVTX2ztTvayb3zW/uDr40mIAa45wMe6vU8zjOFNVGS6BQEIhCBQ1ECW7UMqBrhs/6mXOIG2GGBbw3ulJMvu2kNywwywfWOz/fxsKUT2Wt8tmbAzvu1YQzu/29b7rjpQzgz2Km4d8liyTiPJ/vWvWSRdk3gM0L0BAmOZY4wuoQIBCECgcAa1LLKeAV5ggQW8ZYBvv93sQbT+lx039SIRaIMBtjFc7nZysIfW7KrLANt9vxtJO24DAQhAAAIQiE0gagbYDPAkk9hmTNWul156SRjgagzbVrsNBtgeTDvCZX//7QSyXR62kWTfIG0XB/tXZAmEvcHtYbjslWcJBBngtr1DGA8EIAABCGQJYICJh1YQaIMBHpV1/YHb9qz/EJwtl7gho96BktYbeAjOzPOMAw/B2ROddo4iD8G1IvQZBAQgAAEIlCAQ1QDPP//83jLA//jHP2y4sfpfAi1VYhJogwG23Rv6Ozj02ZlJ3dA9EHe/2+O3vw3aoZJ2dwXtdxXbOeK8IdugrSzpD66c7T9si4fYBi1mdHIvCEAAAhBIjUAsA9lbA4wBTk3+9vSnCQZ4SkmrO+R2cIXtxLC9+/+2ncjjQ+QYtgbYitnSCPubnQZn2VxbFmEPtg07CMM2sc4ehGF7Edv2akU2s2YXiPa8VxgJBCAAAQjEy6D25s/55pvPWwb4jjss30UGmCB+nUATDLBld+8ZQ7AVJF1SwADbeM0EDx6FbDtIZK/+Uci2P7BtbG0HYmzrdokoEjsY4CK0KAsBCEAAAqkTiJoBnnfeeb0Z4DvvvBMDnHp0RexfEwxwRBzeb4UB9o6UBiEAAQhAoEYCGOAa4XNrfwQwwP5YDmsJAxyWL61DAAIQgEBcAlEN8DzzzOMtA/zPf/6TDHDcWEn6bhjgsPJggMPypXUIQAACEIhLIKoBnnvuub0Z4LvuugsDHDdWkr4bBjisPBjgsHxpHQIQgAAE4hLAAMflzd0CEcAABwLrmsUAh+VL6xCAAAQgEJdAVAP8vve9z1sG+O677yYDHDdWkr4bBjisPBjgsHxpHQIQgAAE4hKIaoDnmmsubwb4nnt6G0rF6n9cVbhbYQIY4MLIClXAABfCRWEIQAACEEicQCwD2Zs/McCJR0ODu4cBDiseBjgsX1qHAAQgAIG4BKIa4DnnnNNbBvjee+8lAxw3VpK+GwY4rDwY4LB8aR0CEIAABOISwADH5c3dAhHAAAcC65rFAIflS+sQgAAEIBCXQHQDPPHEdiBrtevll18WGeBqDNtWGwMcVlEMcFi+tA4BCEAAAnEJRDXAc8wxh3wZ4Pvuu89Ixep/XFW4W2ECGODCyApVwAAXwkVhCEAAAhBInEAsA9mbPzHAiUdDg7uHAQ4rHgY4LF9ahwAEIACBuASiGuDZZ5/dWwb4/vvvJwMcN1aSvhsGOKw8GOCwfGkdAhCAAATiEohqgN/73vd6M8D/93//hwGOGytJ3w0DHFYeDHBYvrQOAQhAAAJxCWCA4/LmboEIYIADgXXNziGpt/EgFwQgAAEIQKAFBOaU1HuaLPDVSyC95z3v8ZYBfuCBB8gABxatSc1jgMOqtbykS8LegtYhAAEIQAAC0QgsIelvEe6GAY4Aucu3wACHVf99ku6StKSkB8PeKnjrs0i6RpJ9+D0S/G7hbsA4wrEt2zKalCUXrh6ahGNbtuW6NXm7pJkl3STphbKDKFCvZ4Bnm202bxngBx/sTcOxlnAUGCpF6yCAAQ5Lvb8GuA1vuLaMhXGEjfkyraNJGWph66BJWL5lWm+LJnnH3hvvu9/9bm8G+KGHHsIA56XfgXIY4LAit+kDqy1jYRxhY75M62hShlrYOmgSlm+Z1tuiSd6xY4DzkqJcKQIY4FLYcldq0wdWW8bCOHKHb7SCaBINde4boUluVNEKtkWTvMB645111lm9ZYAffvhhMsB56XegHAY4rMjTSNpe0kGSngl7q+Ctt2UsjCN4qBS+AZoURha8ApoER1z4Bm3RJO/AewZ4lllm8WaAH3mk9/hKG5Yk5mVIuXEIYIAJDwhAAAIQgAAEUiOAAU5NkZb1BwPcMkEZDgQgAAEIQKAFBN4wwG9/u21AUe165ZVXRAa4GsO21cYAt01RxgMBCEAAAhBoPgEMcPM1THoEGOCk5aFzEIAABCAAgU4S6Bngd73rXfKVAX700UcNJGuAOxlOEw4aA0wgQAACEIAABCCQGoGeAX7nO9/pzQA/9thjGODUVK6xPxjgMPAXkHSopKUlPSvpREm7S3oxzO0Kt7qBpC9IWkzStJLulPQTScdLes21doKkTYe0vJqk8zOvWwztJGkrd0rQ9ZK2k3RV4V4Vr/BF1+fBmj+QtHPmxTUk7S1pfkn3S9pvSL06x2FdtSOz7ejsYddnJf1SUoqazCPpW+60w4Ul3S7J/jt4+dTAYtZ2VllH0iSSLpC0raTeHkclr1HjsEWIO0paU5K9v+26QdJ3JP154J73SppjSD+mkPR85vUQ47DmR43FyviOpRBjyTOO/ufVMNnfnYmJOjXJ83lr/U/9PVLyrVW6Gga4NDoq5iGAAc5DqViZ6SXd4kzlvpJmc5P1yZK2KdZUsNJXSrIJ4beSHpe0sqRvS/qepL3cXW2CXE7SJgO9uE3SvzOvmdG0OvbfGyVtLWklSYtIujvYCF5vuG+AVx3ok513+X/u3ss6c3mMpNMkrShpN0k2KZ2ZyDisGwtJsm2Ostc3Ja0naVZJ/3KmJTVN1pJ0mKSrJc0naaIhBti3BvYF7P2SdnCGch9Jr0haXNLLJWNu1DimdjFl74s/uPtt6QzxKpL+mLmvvbfs2PADB/pijLKGLcQ47JajxtI3wD5jKcRY8ozDjpkfvCzh8F9JiyaiSZ7P2ya8R0q+tUpX6xngmWee2VsG+PHHbbpjCURpRVpWEQPsX9BdnMGaXdKTrnmfV5YEAAARQUlEQVSbKI+QZK/1zmKs+ZrJGapsN46WtKEkM/CvOrNlhmJYNq9fb3JJtqjqcEm7uhcnlXSHpHNdVjjkUPsG2M6nN4M47LLsoJmXZTJ/PNUZdDOddtU9jrEY2RcI+8LxKVfAzFdqmpjhtXixa6z++dRgKUlXSPqkpAvdfS2zb5w2knR6yYAbNQ7LANsXlKcy7dtrN0v6p8ve9f9kBvicEV94Q43D+jBqLONplcWX930Raix5xjEo95yS7nFf6A/I/LFOTfJ83jbhPVLyrVW6Ws8AzzTTTN4M8L/+1ZsmWANcWpJ2VcQA+9fzMmd81840PZ17bTNnEvzftXqLX3Mm3SZ5W7aRx2xZNvVil2mxpQ/9y36eXleSTUYhr1EGeDI3FstuH5zpiP2MfZakuVwmvO5xDGNky2f+4jLwZtjzmpY6xzIsZnxrYL9S2HKHGQayqde5XyAsJqpeeWK/fw/7VcF+qv9wQbMVYxzjxUyeMeaNpRhjydNfG699EbflTpZseCBRTaxb2c9bWxpnn7m+Pqdi6FH1PZanPgY4DyXKlCaAAS6NbsyKtsr+uIE1qFbYfpY/acjr/ntQrsVT3BpU+9DpT5yWUXtBkq1dvEnS992yif4dbN2vZX8H1zZuIekoSVNJeq5cd3LV6htgY25Zlvsk/UzSD91P1JbhteUog+uW53VZ6v7rdY9j2GBtWYGN713u59wmaDLMpPjWwDK8Zm4Gf/q2+J17yOu5AmmgUF6zNbGku9wa4M8NmC1bEzulpJck2ZdiWydv76H+FWMcowywr/d3jLHk1cQYPyHp4wOaWgY4FU2sa9nP2ya+R8q8r4rW6RngGWec0VsG+IknLDTIABcVoq3lMcD+lbUJbw9J+w80bT+V2k+3thwitcvWn13q1lT2M6XfcOspzUBaBtsyFrbW8TOZtbO2ltbGaj+VZq/1JZ3h1j+HXPJhP4N/1K0/tbWVltm1fv7U/fxsyx4ul2Q/0WYfyjOzbIvBbH2zZVfrHsdgPJixMm621nTjzB9T12SYSfGtwUXuy42t+85e9oXB4tPWIVe98potyzZats1i8NrMTe2BUlvvaw9cvs/Fl32RsTWp/XXxMcYxngH2GUsxxpJHkw+6BxO/IsmWdGWvlDQZ/Lxt4nuk6nssT/2eAZ5hhhm8GeAnn+ytSmQJRB76HSiDAfYvctMMsH3I2GRtayjNQPTXcw6SsfV4ZuBtiUR/7WxqxtH6bOv+bBcK+5Az89FEA2yZaVtDbU+F21rSsa7UNOmSAbYHR00j+1XETPB4lz3EaLtjWNbPfm2wK4ZpHM8A+3x/xxhLHgNsu7/Ye3+WzPMXY+lSlybDPm8xwMNVwgD79ye0mCGAAfYfDvZz/LGS7GG47JXiEgjL7NoWTpY9tSfCs7s7DCNj20DZ8gL7adeWNqS4dGAJSX+VtLpbEmEZbMsW2kMm/Sv1JRC2VMZMsE3S9oVqvCslTcZbAuFLA/u53b7cWFY/e8VcAmHbB9q2db8ZY6vAYXr93i3TsWyxXTHGUcQAW9mysRRjLKMMsM1ltszBnkWw3SPyXLE1Gevztr8EoknvkTx8q5bpGeDpp5/eWwb4qad6z7CSAa6qTEvqY4D9C2nr/Wyhke1R2r9s7Zm981J6CM7W7VrmxtZTmpkwgz7qGpwg+w/J2JZntidq/7Ltn2z7rtAPwQ3rb9YA29ZU9nCJ9fuQTGHLrJ495CG4FMZhutiXKNs2z5ZzjLpS0mS8h+B8aWDZVttOcMaBh+BsCYKt/wz9EJw98GYPJ/7dZehHfUHp6zdotmKMo6oBzvv+jjGWUQbYvsDbZ6+ta7YHE/NcMTUZ7/O2/6Bok94jefhWLYMBrkqQ+uMSwAD7DxDL/NraQPuW+bRrfnNJRya0DZqtMbXsle00YBPHrTkw2M/tto7WHmyzPVjt6m+TZId+2EEfdtnBBLYN2nkRtkEb1m0z37a+0T48H3GZX8tY2zj7l5lLy+INboOWwjhsKzo79OJjQw5YGBxvapqMtw2aLw36W27ZEgRbI22Xrfu1JQZVtkHLsh1rHJaRN/NrX3BXkPSfHO8bK2IHMtgSI4s72yfbrhjjsPuMMo79IVSJpRhjGTUOW/dvDyK+M+eDtzE1yfN5a79QNek9kjP0KxXrGeDpppvOWwb46ad7UzIZ4EqytKcyBti/lv2DMMwEZg/CsJ9oUzkIwx4QsZ0a7CABW9ebvSyzZWvo7FQ4e0DMHtqxLacsG2mTvmV2zTz3LzsAY8/MU+62LMLWEsc4CMM237csthl4i2V7CM4eMrRsr60FtKu/wbyN2X6qtTHYg3tmNO1BvRTGkeVv27MZO8ueZw9NsJPFUtTEJm1bbmKXmTvbiWF79//twUp72NC3Bqa7fXnJHoRha9erHIQxahxmdu1AA1tXbg9P9nbUd5ftlGLvG7vs1D5bvmJfAO1kOuNhX4rtPWRbpdketf0rxDis7VFjsb/7jqUQYxk1jr4GZjCNtfXh89k3UyKajPq8tfhpwntkCNqgL71hgCeayL6fVbteffVVYYCrMWxbbQxwGEUXHHIUsj0wlspRyGMdC2o0bG/cZ9wEaVlSy6hYv//mdrbIrqW18hZDZoIHj0I2sxD6MqNrZsM+KO0T0r502IlvlsnNmkczxoNHIdtWddmrznH0+2FfnixrbTtx2LZZ2csMlJmW1DTpHzwwTGv7smFrZe3yqUH/2F3ba9rMjx2IYXsDV9lxZNQ47D2TNa/Z8dr2e/3lPrY9mx21bQfI2JpPSznZUhw7MvkfA5BCjMNuMWosdmKj71gKMZZR4+jHlh0UYw+L2hcx++IxeNWtyajPW/t7E94joT/PB9vHAMcm3rH7YYA7JjjDhQAEIAABCDSAQM8ATzvttPKVAf73v3vPebMEogHix+giBjgGZe4BAQhAAAIQgEARAj0DPM0003gzwM88Yz9uYoCLiNDmshjgNqvL2CAAAQhAAALNJIABbqZujek1BrgxUtFRCEAAAhCAQGcI9AzwO97xDm8Z4GeftV0xyQB3JoJGDBQDTCRAAAIQgAAEIJAaAQxwaoq0rD8Y4JYJynAgAAEIQAACLSDQM8BTTz21twzwf/7T27qbh+BaEBw+hoAB9kGRNiAAAQhAAAIQ8EmgZ4Cnmmoqbwb4v//9LwbYp0INbwsD3HAB6T4EIAABCECghQQwwC0UNaUhYYBTUoO+QAACEIAABCBgBHoGeMopp/SWAf7f//5HBpjYeoMABphggAAEIAABCEAgNQI9AzzFFFN4M8DPPfccBjg1lWvsDwa4RvjcGgIQgAAEIACBoQQwwARGUAIY4KB4aRwCEIAABCAAgRIEegZ48skn95YBfv7558kAlxCirVUwwG1VlnFBAAIQgAAEmksAA9xc7RrRcwxwI2SikxCAAAQgAIFOEXjDAL/tbdWtymuvvSYywJ2Kn5GDrR5VI29BAQhAAAIQgAAEIFCIQM8ATzbZZPJlgF944QXrAAdhFJKhvYUxwO3VlpFBAAIQgAAEmkoAA9xU5RrSbwxwQ4SimxCAAAQgAIEOEegZ4EknndRbBvjFF18kA9yhABo1VAzwKEL8HQIQgAAEIACB2AR6BniSSSbxZoBfeuklDHBsFRO+HwY4YXHoGgQgAAEIQKCjBDDAHRU+1rAxwLFIcx8IQAACEIAABPIS6BngiSee2FsG+OWXXyYDnJd+B8phgDsgMkOEAAQgAAEINIxAzwC//e1v92aAX3nlFQxww4IgZHcxwCHp0jYEIAABCEAAAmUIYIDLUKNObgIY4NyoKAgBCEAAAhCAQCQCPQM80UQTecsAv/rqq2UywAtIOlTS0pKelXSipN0l9baUGHF9WdJOkmaX9A9Ju0k6Z1Ql/h6HAAY4DmfuAgEIQAACEIBAfgIpGODpJd0i6U5J+0qaTdJBkk6WtM2IoWwk6VRJ+0j6o6QNJZkhXk7SVfkxUDIUAQxwKLK0CwEIQAACEIBAWQI9A2ynwPk6Cc6OQy54EtwuLmtrGdwn3UC2lHSEy+o+NM7gLON7raSNM2WukPS0pNXLQqGePwIYYH8saQkCEIAABCAAAT8EegbYmvJlgF23ihyFfJkzvmtnhjSde20zSSeMMdT3SbpL0jqSfpsp83VJB0iaRlLvXGau+ghggOtjz50hAAEIQAACEBhOIAUD/Jik4yTtPNDFByWdNOT1fjHL8P5e0oKSbs/UXVnShUNeJwZqIIABrgE6t4QABCAAAQhAYFwCbxhgz5yWkPRIps1nJNm/YZcdHbeHpP0H/nizJFvOYMshhl2buHXCsw7ca3FJ10haxtX3PDSaK0IAA1yEFmUhAAEIQAACEIhBwJYa2DKCGTze7DlJUwy0t5ekPTHAHik3pCkMcEOEopsQgAAEIACBjhEwEzy1xzGb5+k9CZe5xssA2xKIYyXZw3DZK+8SCNtCzR6G618sgfAoZtWmMMBVCVIfAhCAAAQgAIE2ErCH4J5wD7P1xzetpKck5XkIzh6eOysDZltJP5L0jpz7CLeRaTJjwgAnIwUdgQAEIAABCEAgIQKW+d3VbZ1m25fZtbmkI3Nug2brfT+XGc/lbr0x26AlIDIGOAER6AIEIAABCEAAAskR6B+EccfAQRinDByEYcskNpU0cWYEn5Vk5b4v6U/uIAwzzx+TdGVyI+1ghzDAHRSdIUMAAhCAAAQgkIuAbWU2eBSyHWmcPQrZ9gM2AzzoqezkN9tCrX8UsmWTOQo5F/bwhTDA4RlzBwhAAAIQgAAEIACBhAhggBMSg65AAAIQgAAEIAABCIQngAEOz5g7QAACEIAABCAAAQgkRAADnJAYdAUCEIAABCAAAQhAIDwBDHB4xtwBAhCAAAQgAAEIQCAhAhjghMSgKxCAAAT+v906pgEAAEAY5t81KpZwVAGkPBAgQIAAgV7AAe6NJRAgQIAAAQIECBwJOMBHY6hCgAABAgQIECDQCzjAvbEEAgQIECBAgACBIwEH+GgMVQgQIECAAAECBHoBB7g3lkCAAAECBAgQIHAk4AAfjaEKAQIECBAgQIBAL+AA98YSCBAgQIAAAQIEjgQc4KMxVCFAgAABAgQIEOgFHODeWAIBAgQIECBAgMCRgAN8NIYqBAgQIECAAAECvYAD3BtLIECAAAECBAgQOBJwgI/GUIUAAQIECBAgQKAXcIB7YwkECBAgQIAAAQJHAg7w0RiqECBAgAABAgQI9AIOcG8sgQABAgQIECBA4EjAAT4aQxUCBAgQIECAAIFewAHujSUQIECAAAECBAgcCTjAR2OoQoAAAQIECBAg0As4wL2xBAIECBAgQIAAgSMBB/hoDFUIECBAgAABAgR6AQe4N5ZAgAABAgQIECBwJOAAH42hCgECBAgQIECAQC/gAPfGEggQIECAAAECBI4EHOCjMVQhQIAAAQIECBDoBRzg3lgCAQIECBAgQIDAkYADfDSGKgQIECBAgAABAr2AA9wbSyBAgAABAgQIEDgScICPxlCFAAECBAgQIECgF3CAe2MJBAgQIECAAAECRwIO8NEYqhAgQIAAAQIECPQCDnBvLIEAAQIECBAgQOBIwAE+GkMVAgQIECBAgACBXsAB7o0lECBAgAABAgQIHAk4wEdjqEKAAAECBAgQINALOMC9sQQCBAgQIECAAIEjAQf4aAxVCBAgQIAAAQIEegEHuDeWQIAAAQIECBAgcCTgAB+NoQoBAgQIECBAgEAv4AD3xhIIECBAgAABAgSOBBzgozFUIUCAAAECBAgQ6AUc4N5YAgECBAgQIECAwJGAA3w0hioECBAgQIAAAQK9gAPcG0sgQIAAAQIECBA4EnCAj8ZQhQABAgQIECBAoBdwgHtjCQQIECBAgAABAkcCDvDRGKoQIECAAAECBAj0AgNw2r/xRFSvywAAAABJRU5ErkJggg==\" width=\"639.9999861283738\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "seuil = 80\n",
    "ims = r > seuil\n",
    "binaire = np.where(ims,1,0)\n",
    "\n",
    "fig = plt.figure(\"Thresholding\")\n",
    "plt.imshow(binaire, origin = \"upper\", cmap = cm.gray)\n",
    "plt.colorbar()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Erosion + Labeling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "erod = ndimage.morphology.binary_erosion(binaire, structure=np.ones((10,10)))\n",
    "lab, number = ndimage.measurements.label(erod)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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Sil/x9MTWfHff6fbG/7Rf0H2WtdFit4KsimGSSM/ELi/AEUh9fe9sV0EwHg0+P4XQTZC2q9/uzP7uMs/Xkr5g2+P+j7fVfi7Syl/8u3xoH/v9ghwvBBFkRZ3ReNdz7f+3gqy8fnUuDP6G7xxpyIeL44+xWNL8aUp9yD595dSfvDTCeLbh3/s7V3Vn/eBUXyZU9z1jTsrf8KL2RTbxfbRvu94I8jGC+p/fHukKgLv/1tKEWRdojMEXPtfu6Oy97Ufn51/ftolvlDm8XHHe5CNj2TERywe/+Ib431udsYV4py1AjVB9vFY8ZhxPIYbdzHjLx7RjdfBeErq/hdh8xfeHkN+3DceIY43v+OaiOs3/uJjS/GaH3dpn//+7NtjvfE4cxwv/lqCbIThb3k66O94O+fjm0zxFFp8KVy8QfX86wU/6/ZItSBbO6Nsd5iAIHsYtRPtJND6AhRBNj6bEo/4PP/9/FLKr/d0p+G+zf1d1D/q9mhRPJoci3u8WxmfUf3Xb3dTI3Def64m9n0ryEa4jjAb+z7//Q23z67EC008BnQPsvEZm7iL+/h3P3YY/Isf+MaLZTziNOKObJzmbhGPHP2tguxOM9thXwm49r/2pteR1/57Y+LLnl7NVv++skDtWhKP+Mad13h9jkD6+BcfO4onpO5/ETbj+yjieyme/yK4/ta3O7zxb1FDxKPEH/3Fx5nu373REmTjo0iPHwWKc9zrivj5rHhDPv7iDacI01EDPf/Fd2fEXWNBduVZfNG2CbIXHfgTdbv2Beje5Y9+NLwlyMbx4l3Z+ExsPFoULxT3F4u46/kP3E44Ksg+PoZ070vtb9TGZ3viM7LxLuuWz8jev/AlXsDjRS8+Nxyf/4kXa78je6KLKklXXPulfN/bG2jvDdnoa/+98wiySS4azXxToGYt+QG317oIoTHf46NG8aZ0/P2U25MRcZz7X0uQjePEx6Di7ut7f/HLAfeftmoJslHzPLYrjv/4JZL334IWZF0cKQUE2ZTDptEPAjUvQI9gHwXZ+DbBP+Sdz73GZ2fjM7TxzYPxaPFbf/HFCHEXNd5djReK+HsrbMajgPdHi/+vpwPF52OjOH1+tHhLkI1TxGd04m5yvBjHlz689RePGcWXVL33rcWP31z6x94+cxNfABVhXpB1WR4t4Np/HWT3uPbfGmdB9ujZ73wjBWrWkviSp3j0Nl6b49cM7n/xhm78Tn3cLX0OsrWPFkdNEfVDfOQpPq7z6m+PIOvR4lfq/n1JAUF2yWHRqAaBmhegx8N9FGTvX/b0tzy9M/qb374sKR7Ric+pxItIPH5z/63Vx+NHSI0vV4jP4cbfR1/2FF+aFJ9xvf/FHd343NlbX/a0NcjGY0w/+3ZnNkJn3H1+/Iuf1IlHpSOEx1ft338a4PnLnu77xNoRX0IRx41HqeN/W08aJq5NNwu49uuC7Ohr/62BE2Q3T2cHmChQs5bEN/nGG90RNuOLEO9/P+b2k33xiP9zkI1t3vuyp/jSx/hJm/i7f9/F46O+jxzxfRqPXyq5R5CNL7iM7/t4fCM72hCPUUft4MueJk5Qp35fQOFpdmQXuL8AxR3Hn/FOZ+KbgO9fNvJRkI0vboifzok7ovF50gh295/fiZ+miXdj7z+/Ez/d891v28cxY9/vf/tt2fiGzri7GX9vBdnHn9+JL2D61x5+fie+RCXucD7//M7WIBttifbFI1DxM0Pxk0HxiFT83/HlTj/w9uhxbPP4e7nvBdk43v1blh/Dbfb5pP15BFz7dUF2j2v/eZYIsnmuGy39ZoH7WhJf2PTeZ87j52ri9TOeuor5HvVzfOtv/Ixe1AfxvRfPQTZ+BSC+bTi+LDLePI4vc4qaII4V35HxS25NifohnpSKGiO+8DHqkPgpn7hLG/VAHKP3W4trHy2OL4WKL3uM7w95/vmduLMc7Y16IB6B9kdgGQFBdpmh0JBOgVc/wRGHjS9biM9xxt9HQTb+PT5TFl9NH9++GYt2PEIUi3u8exrvSt7/4mvy/8RSyve5vUMb28WLU7xgxc/3xE/0xN97n2ONn8z5Ebe2fdfbb9LFi2i8Q3v/ZsLY/63PstzbUPsZ2UfaCN/x7m+8AMf/He/sxrcQR3D/8W984+hHQTaOGy++f+jtBNaTzklsty4B1359kA3g0df+46AJsl1T2E6LCNSsJRH04jU/vuwwntKKEBo/u/PDbzXCc2C83zX9SaWU+LLG3+H2KwXxEaZ4Guv5Z/viTeW4K/pDbk84Rbj9b27BOb5z46c+WO1xRzYOH79K8KNuH0P6Trfw/deUUuKJrR92+6WF+9NaiwydZlxdQOF59Rmg/wQIECBAgAABAgTeFoifJownsOInh+5v0rMisISAILvEMGgEAQIECBAgQIAAgWkC8RNAj19kFQ2JR4rj+zDiqa34+SF/BJYSEGSXGg6NIUCAAAECBAgQIHC4QDwGHR97io9T/eJSyreWUuLXCn7Z7fHi+MyvPwJLCQiySw2HxhAgQIAAAQIECBA4XOAHl1L+rNuvM8RjxPGFU/FLCvFlk/GLDP4ILCcgyC43JBpEgAABAgQIECBAgAABAh8JCLLmBwECBAgQIECAAAECBAikEhBkUw2XxhIgQIAAAQIECBAgQICAIGsOECBAgAABAgQIECBAgEAqAUE21XBpLAECBAgQIECAAAECBAgIsiedA58+ffp00q7pFoHpAl988UWatdNaMH26aMCJBTKtBSceBl0jQOCiAmmKsYuOT3e3Fa/ddHYk8FIgU/FqLXg5nDYg0C2QaS3o7qQdCRAgsKiAILvowGxtluJ1q6D9CbwvkKl4tRaYyQT2E8i0Fuyn4MgECBCYIyDIznHf/ayK192JneDCApmKV2vBhSeqru8ukGkt2B3DCQgQIHCwgCB7MPhRp1O8HiXtPFcUyFS8WguuOEP1+SiBTGvBUSbOQ4AAgaMEBNmjpA8+j+L1YHCnu5RApuLVWnCpqamzBwtkWgsOpnE6AgQI7C4gyO5OPOcEitc57s56DYFMxau14BpzUi/nCGRaC+YIOSsBAgT2ExBk97OdemTF61R+Jz+5QKbi1Vpw8smoe1MFMq0FU6GcnAABAjsICLI7oK5wSMXrCqOgDWcVyFS8WgvOOgv1awWBTGvBCl7aQIAAgZECguxIzYWOpXhdaDA05XQCmYpXa8Hppp8OLSSQaS1YiE1TCBAgMERAkB3CuN5BFK/rjclRLfrii7cv60+fPh3VhNOfJ1Pxai04/XT8pg6+twa8JWFd2DY/Mq0F23pq79wC3/ZOAfDtckDugb18603gk04BxetJB/aNbrUUrY+7K2D750im4tVa0D/OmfbsXQesCdtGOdNasK2n9s4l8F5wfdULwfaVkH9fS0CQXWs8hrVG8TqMctkDjShc750TatuGOVPxai1oG9tMW49cAwTavpHPtBb09dBeuQR6A+xbvRRqc439NVsryJ503BWvJx3YUoridf7YZiperQXz58seLdhrHfDmVttoZVoL2npm61wCIwPsY8+F2Vzz4HqtFWRPOuaK13MO7N7Fa6i5O/t67mQqXq0Fr8cz0xZHrAGZ787efY5axzKtBZnmuba2COwVYgXallGw7RwBQXaO++5nVbzuTnzoCRSvX+b+yOOIAjZT8WotOPRS3fVkR68Dq96d7XHYa13ItBbsOjkdfILAEQE2UZj93h98o+UveOdbMCeMmlOOFRBkx3ouczTF6zJDsbkhPUXb5pMudmd2i8EeBWym4tVaMOJqmH+MLdfAiNbvcR21tmuUwci+ZFoLWr1tv7LA0SH2brHQo8YfBddXQyfYvhJK8++CbJqhamuo4rXNa9WtRxVuvf0bWfD1tmGUwci+ZCperQW9M2+d/UZdA1t7NPIaam3LaINRfcm0FrSa235VgVkhdqEwuyXEPg6rQLvqJK9ulyBbTZVrQ8VrrvF6q7WjC7dekVEFX+v59+r/iP5kKl6tBa0zb73t97oWeno64vppOe/efd/an0xrQYu7bVcVmB1iJ4fZUQH2eXgF2lUn/Mt2CbIviXJuoHjtG7fHomlrgdPXgm/stXcB19K+oy2O6PuWPmUqXq0FdTO9Zc5tmTt1rVlzHYhWnbHvW/qUaS1onXu2vwn8vIfPXn7r7M9arhJkw+bgx4z3CrGPE12gTXfZC7LphqyuwYrX104thev9aFsKntctUryGQM+4tNg+bts7npmKV2vB+7Nj61zrnT+183Vr+2rP07rd3v0+eh3Ysr5nWgtax/mS2z+G1lqAw8LtSiH24CB7RIi9j7cwWzvzl9hOkF1iGMY3QvG6X/G6910Jxev46+GjI/YU5ZmKV2vBN4/+6GusZw7VzPLR7aw5Z+02Z+1za78yrQW1Y3vJ7XoC7DPUroF2tRB77/wBd2WPDLHCbLrLX5BNN2R1DVa87l+87hVor1i8zroD03snJlPxai348lqw5/XVGoI+Ws33bGfdq8jHW43s6+OZVuh3S98yrQUjxv10xxgRYA8JtKsG2ej8jmF2RogVZlNd5oJsquGqb6zi9RtWexdGLUXPqxHcu62vzv/q30f2VfH6SnvMv1sLvuZ41LU16ho5qr1bZtmovt7bsFKfa/smyG6ZQRP33SPAPnZn6N3ZlUPsjkF2ZogVZidenG2nFmTbvNJsrXg9tniNs9UWPh9NopUKubfaOaKPz8ddqc+1/ctUvFoLjgux97ldO4/eWwtWuiY+Wq+29nO1N7Oe+1rTv0xrQZoCZu+G7h1ihwfaCwbZFUKsMLv3lTjk+ILsEMb1DqJ4Pb54HRFmMxSwNcVdyxWxWp9r+pepeL36WjBrftXMI0H2+DccW9ammjU901rQ2vdTbn9kiL0Dbr47u3qQjY4Ofrx4pSAb3fMFUMsuB4LsskOzrWGK1zlTW/HaNm9nhYxXrXw1jpmK1yuvBbPn16t5lD3I1gS9V9da/PvscXrVxo/GMdNa8Kqfp//3GSE2UDcF2QwhdnCQXS3EujO79NIwp9pfmuQcjVO8zhvHsxevvf17HpGVi9dXfcxUvF51LVhlfr2aS5mui7dW1db+vXWMVcbqvVcNQXbe6+mwM88KsZvvyl4syK4aYt2VHXYpjj6QIDtadJHjXbV4XeXd/Z7ibvVi7j61e/qmeJ23MFx1LVjpemq5ZlZqd82sbelbxnXg1bqX6U2tmvE87Tazg2z3nVlBdqk56RHjpYbjc82/XIs0aIiA4nUI46aDtBZ4WQrY1n69h7h6f89yF+aKa8Fqc6vlmlmt7a8WwZa+CbKvNP37LgIrhNjuO7OC7C5zoveggmyv3G77CbK70c49sOJ1rn+cvbXAy1TAtvbteTQy9FWQnX8N9bZgxflVe82s2PaPxqG2X5lD7EfruTuyvVfpQfutFGK77spmCbLRuY1f+LTyY8X36SrIHnTh1p9GkK23SrWlILvGcLUUeZkK2JZ+ZS5g3+tnpuL1amvBqtdR7TWzavvfW1Fr+/Xe/ln6e4a1YI1XxYNbsVqQbQ6zguzBM+b16YTZ10YHbiHIHoh95KkUr0dqv3+uliIvS0HXc7c54x3Zs9yFsRassRbUXjeZ1oHaPmUPsY/tf17TM72ptc6VcFBLVgyxguz7g5/hjmy0XpA96AKuO40gW+eUbivF6zpDVhtmsxSwtf35aASy9zVT8XqltWD1eVVz7azeh+fruqZPZwmyb/U101qwzqviQS1ZNcg2hdksd2Q3PlYcJoLsQRfGuU4jyJ5rPL/emysVr9HplYu/2kJv5T58dEei5xLK3tdMxeuV1oLV51XNWrB6HwTZLwtkWgt61urU+wiyBw6fIHsgtlM9CAiyJ50Oitd1BrameF09jAuyeYtXa8E6a0G05NV6IMiuNV6v1j5BdtHxWjnEuiP79qRxR3bRi2ntZgmya49Pd+sUr910w3d8VbjeT5ilgK3tz0eQ2fuaqXi1Fgy/pDcdsOb6yX591ABl6aMgWzOaC24jyB48KO7IHgzudDcBQfakU1a0WeUAACAASURBVEHxutbAnqV4renHK/ksBayf33k1kmv9+xnm1dXe1MoyZh/dSc/0ptZaV+zOrVk9yFbflc3wGVkhdufZ7PAfCAiyJ50eguxaA1sbAFcv7Gr78Uo/ez8zFa9XWQtWn1P3a6LmGjpTX87wZIYg+2pFX/DfTxNkw3b1MDsgyEY3V3+02LcVL3ihlyLILjks2xt1leI1pDIUfTXFa4a+1Pbj1Qxefcxe9VOQfTXCx//76nPqUaRifh0P2HjGV32oOVyWMTvL0xk1Y3KabQTZA4dSkD0Q26meBATZk04JQXatga0t+lYu7Gr7UCO/cj8/uvty75sgWzPKx26z+pxquSN7lTe1MozZq3Uv01pw7BU5+WyC7EEDMCjEuiN70Hid7zSC7PnG9HOPBNm1BvZVMfTY2lWLu5Y+1Oiv2k9Btmb01ttm5fn0qFV7Ha3cn9o+1MySlft5trWgZjxOs82pgmyMyqqPFw8MsquHWY8WL7k8CLJLDsv2Rgmy2w1HHqGl8FuxsGtpf63biv2sKVxvd8vSrJ1XWQtWnU/P10PLtbRqn1r68Go9WLWP93a/6qs7sq9GeNK/C7IHwA8OsSsHWSH2gPnUd4o0xVhf966711WK11uoWHqgXxVCbzV+peKup/21A7JSP2sLV0G2dnSP3W7FufSWQMv1tGKfWtpfOwNW7OcZ39SqHY9TbLd6kP3WLzrq75Xuyu4QYu8Tb8UvfRJkl10WOi6kZfuiYQ8Cguw606G38FuluOttf80IrNLHlhAryH7zyNaM457z6N6imnbUzMs9t2l1WKlPrW2vdVypj49trumvO7K1o3zwdqcMsmG4Spi9UJAVYg++eNtOJ8i2eaXZeu8g21J41BQDW2Bb2rLlPL37bun/7L5taXut1+w+toZYQfZrYlvGba95taVNtfN163Y9fV+lXz1tr/VapY+t64Eg+40R/ss//aWfasf7R37xo/etP08bZFcIszuG2PsEWuWurBBbe0lP227fhWRat5x4jyA7otDYqxAa0ba9Zs3WPs/q29Z2t3jO6mNr0XrfPlPxOnotGDlWo+fYyLa1zN/abbf0d3bftrS91md2H3vWg0xrQe04tGzXEl7fO+5uoXblMNv1aPGj4Kw7sweE2FXCrBDbshRM21aQnUa/74lHFq97FBeji6I92jhihEb18+j+jWp3reHR/XtsV09fMxWvo9aCPceoZwzemlt7trF2Ln+03dZ+zurf1nbX2s3q33P7WvqbaS2oHYea7UYE2OfzDA+0qwbZzSH2Lnd0mD0wxEYXZ96VFWJrloElthFklxiG8Y24UvEaeqsUQFsKolez4Ig+thRwr9rb+u9H9G/U+GQqXkesBUeMzai5d0RbW+d2bJ+xf6Pa3OI1c/x6+ptpLWgZh4+23SPE3s83NMyePsiG2hFh9uAA+zj5ZoRZIXbUUnHIcQTZQ5iPP8nW4vWoYqKncHhP86g2147myL7dz7lnH/dob63VEf0bFWJvb5ykWTu3rAV7zre35saIOXh0m2vn+Ii+HXmdjGxvrdGR/Ru1HlwpyO4ZYB/H49Rhdtjd2EexPcPsxBB77+KRYVaIbV2up2+fphibLpWsAVcrXm/hYqlR2rMQHFms79nO3gEZ2b89AlOm4rV3Ldh7DN6bGyPm46y279mnt469Rz9H+Pde98/77dG/0etBprVgy7gcFWLvbRwWZle7K7tLkL2rjQy0CwTY5wm7d6AVYrcsEdP2FWSn0e974isWryuF2aOKwS2F3lFt7J3pW/q2d6DIVLz2rAV72LfMg61zc3b7R93tqzUb0d+t5rVtbd1uRN/2XA8yrQWt9vftjw6xpw2zu4bYx9HdEmgXDLCPXdsjzAqwvUvDEvsJsksMw/hG9BSvs4PgqEJqz8KndqRG9aX2fPftPur7rDa19uF5+xHjObrvmYrXnrVghPnWcd86Ziv0IQy29qPVsaXfR7ettS+P27f0q+Y8o/qeaS2ocXlrm1lBNtpyqjuzhwXZ51H8KNguHlzfm7QjAq0A27skLLWfILvUcIxrzFWL19lhfEbhOm7WrH+klmJ2VKH6lkqm4rV1LWgx3nvGbB3D2X3Z2v69fbMev3dc9xiPTGtBz3jPDLH39g4Js7MfMZ4WYntGPdk+LaFWeE02uK+bK8i+Nkq5RdbidVSh0VvobB3sUe3f2g777yuQqXhtWQtmXTfvjdbW62l2f7a2f99ZfJ6jvzXOR9lnWgtaR3yFEHuKu7JCbOvUsz2BagFBtpoq14YtxesKdzEfdUcVIEcXsaPanWumXbO1mYrXlrXg6GumZvZsva5m9Wlru2tsbDNfINNa0Kq1SpBNHWaF2NZpZ3sCTQKCbBNXno2vXrzeR+qoIlbRmufaGNHSTMVr7Vpw1LXS6j/i2jqybyPa22pk+3kCmdaCFqWVQuy93UMeMY6DHfWYsRDbMuVsS6BLQJDtYlt/p9ridbW7sXfZ0cXgXoXs6HauP7O08HbNpFk7a9eCva6RETNm1HW2dx9HtXOEmWMcIyDIHuMcZxkWZO9N3ivQCrDHTQpnurxAmmLs8iPVCJC9eN2jIBxdxO7RxsZhPnzzV4ZXMclUvGZfC2KSj5xXr+Zw70U1so29bThivx6/M9tkWgtq58eKd2N3CbJ73J29YIj99B3l00dz64tvKbJG7cVnu2YBk6uZLMcOitf3x6mnEHs82pmLsrfUtnid1SpT8VqzFmwZ4yNWxD3m0ag+79G2I0xbzsHqw9eT09VRqwbZ3cLsiEB7sQD7KrwKti0rrG23CJxuAd6CcaZ9a4rX6O+oAmUPuyMKxNr+H9GWPQx7j1nrUnv8s/kJsrUjP267veZQz1zfqy3jtMYcqcem5sxn8su0FtSMTWxzySD7iFP7yLHwWjul3tzOndpNfHa+CQiyJ50KNUF2ryJlFOmZip1RJnsfZ+85cZYxzVS8nmEtiHl/lrmz9zU84vh7rwP3Np5hTDOtBTVzY+UQG+0f/jnZGpSLb7Pl7msNnUBbo2Sb9wQE2ZPODcXrSQd2x24pXutxMxWv1oL6cbXl8U/pZA+zmdaCmvm9epAVZmtGcdw2e4fYe0uF2XFjdrUjCbInHXHF60kHdqduHRViz3InJlPxai3Y6aI54WGPXgfOsB5kWgtqpqwgW6N0jW2OCrHC7DXm0169FGT3kp18XMXr5AFIdPpZxWsQZb0bk6l4tRYkuhgnNnXmOmAtmDjwT6cWZNcZi5ktOTrEPvbV3dmZI5/v3IJsvjGrarHitYrp8hvNLl6zFrCC7PGXTtY3PY6Xaj/jCuuAtaB93PbYQ5DdQzXXMWeGWHdnc82VFVoryK4wCju04QxBVuG6w8R4OKTitd9XkO23693TetAr9/F+q6wD91ZmG+dMa0HNDFo9yPqyp5pR7N9mhRAbrXdXtn8Mr7anIHvSERdkTzqwg7qleN0Gmal4PcNakPVu3bZZtv/eq60DGcNsprWgZkYJsjVK59xmlRDrruw559devRJk95KdfNwzFK/Z3pmfPORNp1+xgM003pmK1zOsBYJs0+VdvfGK60C2MJtpLaiZGIJsjdI5t1ktyLoze855NrpXguxo0UWOV1O8fl4kvlh3CmQKNosMe1UzjHkV04cbZSpea9aCledEtmBTM7vu3jPXuNXHfKZNzRh+/a7R6pAtnbltu3KY9Whxx4BW7LJiiHVntmLgbFLWTTEGZ5NATfEqyG4ifrlzTX1zdLFW06aXHdtxg6M9ersiyPbK9e2XZV48967nejuqrz1t6xu9/r2Osuhv4ec3g09XRwmyW2bEx/t++kr59OroX3z12Np85RD7uU79lmM9Xo2Pf19L4HQL8Fq881qTPchmKGDeGt0tNc0Rfd7SvqNm8xEOW/uSqXjNvhbEWGWYE49zatR1tle/R7Vv63X0av+9+v/qvC3/nmktqO3XqkE2693YmvD63tgcEWpXD7LCbO2Ve83tBNmTjntt8fp5gVjwDeUMBcweheveRfuKY/18CWYY+0zFa+1asPLcSDIndns1Gd3/lcc623qQaS1omaArhtlsQXZLgH0eqz0DrSDbcmXYdjUBQXa1ERnUntriVZDdBr5nQXjV4nV0v7eN8Nt7Zypea9eCPefyljFIMh+2dLFq35EOq471WxAj+10F3bhRprWgpWuCbIvWl7cdGWD3DrQZQqw7sv1z8Qp7CrInHeXa4nXFILt64XK02SgPxeu4iz1T8Zp5Ldj7CYWtM2LGNbV1PZjR5i3OW/u75dw1+2ZaC2r6c99mtSCb4W7sngF2r0CbJcgKsy1X77W2FWRPOt4txevRwewj8tWLlllWI1wyFbAj+rvnpZ2peG1ZC1abIyvPg5lWW1xmtrvnmtzS157zte6TaS1o7dsqYVaIfXvkRjxuLMi2XhW2X01AkF1tRAa1p6V4vZ9yhQInQdEyaITaD7PVZoXxre311r7Wnqd3u0zFa+tasMo8WXkOrGDU67NC21uvu96+tp6nZ/tMa0FP/1YIs6sH2SPvxI6+MyvI9lwV9llJQJBdaTQGtqW1eJ11p/GxyysXKyv4RBu2GGUqYLf0c+Bl9O6hMhWvGdeCrXN9zzmw0nXUc52s1P7acerpZ+2xt26XaS3o6evsICvEvh61LXdmBdnXvrZYW0CQXXt8ulvXU7zODGsrFyozXd6aAD1W2YrXnj52XywdO2YqXnvWgtnzZdXxn+0yYj1YsQ+vLsFV58PtteH0ddSsMCvEvroyvvHvPWE2U4j9fK35Pdn6CXGhLU+/AF9oLL/U1Z7i9X6AowudlYuU1ULsfYxazY4e063XXWv/tp6vdf+zB9mZ837lsV/1OmoxW7UPH12DLf1rvZa3bp9pLdjS16PDrBDbPlqtYVaQbTe2x3oCgux6YzKkRVuC7JFF7MoFyqxgXzsBWu0yFbCtfas1G7VdpuJ1y1pw9JxZedyPtmiZqy1uK/fjvT639K/FbcS2mdaCrf09KsyuHmLDcebnYj8axzOHWXdkt17B59xfkD3nuMZnKT9t7dreBc+AJm7t4sv99zZ42YAPNmj1W7kvz91s7dsWx559MxWvW9eCo+bNymN+lEHPXLzvU+uXoS+Z1oNMa8GW+XXfd+8wK8RuGyVBdpufvfMJCLL5xqyqxVuL18eTjC58aguuqo7uvNHovo9ubovl6n15tGnp12jTmuNlKl5HrQV7zZ/Vxzrmw159r5lrtdvUOmboiyBbO+rzthsdaDME2K+/afSVsvlGwZ4j1xJmMz1e7I7snrMm77EF2bxj92HLRxWv95OMKH5qC61VhmREn/fuS4tphv603l3a2/e9418xyO4R6Frm78SxnnXq5vPWeGZaBzKsB5nWguYJ9WKHEWE2U4ANjlUfKX4cKkF29Ex3vJUFBNmVR2dD20YH2S2Btqa42tDV3XbNUvDV+mbpz+diYfuT8bvNi1ugS7N27rEWbJlLq4/t88TZ0tddJ+EbB6+1PWOfjrZ+eE1MsxbsZdQTaLMF2K+/qbL43divz8uvlqp56Y7sXleF4x4lUDXRj2qM84wT2KN4fat1bxVEtcXUuN6OP9JZC70s/Vp9DmW6C7P3WlA7p1Yf0/dWkdr+jV+F+o5Y45ypTzX96ZMas1emtWBMj18f5a1gmzW4PvY2w93Y1iD7+Y3j71j7Uemv98nP77y++C64hSB70kHfu3g9KdvXu3XWQi9Dv1YvXGOSZCperQX9q1WG6+W5dzXXT6Z+1fSnf4S375lpLdje22sfQZCdN/4+HzvPfvUzC7Krj1Bn+xSvnXC33TIVep/fUa18FDdDv2r7sm2Et+2dqXi1FvSPdYbrpSfI3t6M6Yc5cM/V14NMa8GBw3bKU2UKsp+v8RM9XizInvKSGtIpQXYI43oHUbxuG5NsBWxLsbdy31r6sW2Et+2dqXi1FvSP9crXynu9qr2GMvStti/9I7x9z0xrwfbeXvsIZw2yn98MX/jxYiH22tfdq94Lsq+Ekv674rV/4DIUeL13YVa/E5OhcL0Zplk7rQXXWgs+F6UneUKjth/9I7x9T0F2u2GGI2QLsS13ZAXZDDNQG98TSFOMGcI2AcVrm9fj1mcPsquG2QxF632eZCperQXXWgvOEmSzrAeZ1oL+K8GeZw+yq4ZZd2Nde68EBNlXQkn/XfHaP3CCbL/dlj2zFK7uyG4Z5Vz7ZlwLWoKsN7W2z0dBdrthhiMIsnNGSZCd457prIJsptFqaKsg24D1tGnG4rUnBK7Uz57294/w9j0zFa/Wgv7xXukaaelFy/W0Yh9b2t/isse2mdaCPfp/lWNeIciudldWiL3K1bWtn4LsNr9l91a89g/NioXdq970Fn4r9LW37a9M9vz3TMWrtaB/JqxwffS0vvWaWqmfrW3v8Rm5T6a1YGS/r3asqwTZVcKsEHu1K6y/v4Jsv93Seype+4dnpaKuthdbir+Z/d3S7lqbPbbLVLxaC/pnwMxro7/V9V/29HiOFfqacT3ItBZsmVNX3/dKQXZ2mBVir361tfVfkG3zSrO14rV/qFYo6Fpbv7UAnNHnrW1uNRq5fabi1VrQP/Izrov+1n5jz95ra2Z/e9s8wmvLMTKtBVv6efV9rxZkZ4VZIfbqV1p7/wXZdrMUeyhetw3TzIKup+UjisAj+zyivT1Oo/bJVLyecS14a67uMaeOvCZGzc3PBWjlz++8dc4Zfd7S3pFuPcfKtBb09M8+D28QfaV8yuTxxVfL5hr/yN+XFWIzza512rp5kq/TFS15FDhT8VpTWI0uhGrOudKMG9n/Pfs+sp0z/TMVr2dYC3rm5Ii51nPemfNya4h9bPtRfR8xTjPNM60FM51Gn/vbyutQ+e1le5D7Ul11wSB77/+egVaAHX11XOt4guxJxzt78bqliBpRGG05/4wpNaLPexexo9s4w/l+zkzFa9a1YOQ12Dv3RrbhqPna29ej786ObOdRtu8YqaMOGoCa8PpeU0aE2myPF4+4I/ulIP8dr988aJ0KQmyrmO2fBSzAJ50Titd8j9f1TsW9C8Ktxfze7et127KfILtF7/W+W+fcW2fonYd7tOW1QP8Wvf386IwjDfZoX7/W9j0zrQXbezvnCFsC7HOLtwTaTEF2dIh9dtx6h1aAnXMtnfGsguwZR/Vrn5FK9VmOGIaRxdKX3kXspNirPaOn3JFDXWtyZJtGe9YcL1PxmmktqJ1fNWP03jatc/OINm3pzzcVmJ3rXW0bej1a3WvbM3u7TGvBbKue848MsY/n7w20WcLs3kH2SzVW5Z1a4bXnCrDPKwFB9pVQ0n9XvH554HqKqN6C7egp09O3o9t4tvNlKl6zrAVHXm8t18yR7dp6nbT0a+u57vsf9cVbo9o7+jiZ1oLRfd/zeHsF2K1hVpDdc9Qdm0C7gCDbbpZiD8XrNw9Ta5GXoYBt7VOKyZugkZmK1wxrwYxrreXamdG+nsugpU89x7fPNwtkWguyjN8RIfZu0XpnNkOQPfJubJY5pZ3nFRBkTzq2ite3B7a10Fu9gG3tz0mn++HdylS8rr4WzLzGaq+fmW2sndy1fak9nu3qBDKtBXU9mrvVkSH2rGFWkJ07h539WAFB9ljvw86meH2fuqXgW7mAbenHYRPvIifKVLyuvBascH3VXkcrtPWjy6u2Hxe5RA/rZqa14DCUzhPNCLE9YXblu7JCbOfks1taAUE27dB93HDF60uf6pFftYBVuFYP4fANMxWv1oLXw19zLa26DkTvatr/WsEWPQKZ1oKe/h21z8wQe6YwK8geNWOdZxUBQXaVkRjcDsXra9CW4m+1Iral7a8lbNEqkKl4XXUtWOmaqr2eVmrz45ytbX/rPLf9a4FMa8Hr3szbYoUgG71v+czsandmhdh589eZ5wkIsvPsdz2z4vU1b0vxt1IB29Lu1wq26BHIVLyuuBasdD3dx7/2ulqt7bXt7pnn9nktkGkteN2bOVusEmIzB1khds7cddb5AoLs/DHYpQUrFq/R0cxF4AptV7Tucrk0HzRT8briWrDCtfQ86LXX1kptr21z8wS3Q7VAprWgulMHb7hSkM0YZoXYgyes0y0lIMguNRzjGqN4rbNsLQRnFrGtba0TsFWPQKbidbW1YOY19Gqsa6+xFfpQ29ZXffbv2wQyrQXberrP3quF2NYgG9vPfMRYiN1nXjpqHgFBNs9YNbV0teJ1xbuxd9DWgnBGEdvaxqbJYuNmgUzF62prwYzrp3aAW66zmf1oaWdt323XJ5BpLejr4b57rRhks4RZIXbfuenoOQQE2Rzj1NxKxWs9WW9ReFQh29u+egFbtgpkKl6tBW2j23q9HbUO9L7x1tZ7W7cKZFoLWvu29/arhtieIPv16/Mr5dPebp9vDHy1qN+PgHaO5QVcCMsPUV8DFa/1bq2F6+OR9y5it7StXsCWrQKZiteV1oK9r5fWcXxr+55r7qh+9bRthIljvC+QaS1YbRzPGGTDeO9HjYXY1Way9swUEGRn6u947pWK18/vHn6x9lTbWiCO7t/W9uw4tRz6a/N57Qn9MEorrQUZ2LZce3v1b0ubXLD7CmRaC/aVaD/6ykE2etPyUzxvvik2+O6sANs+x+xxfoE0xdj5h2JsD1cqXq8QZO+jt7WQVbCOvQ72Olqm4nWltWDr9bHXeD4ed8Q1OKqfI9pyhNmVz5FpLVhtnM4eZO/eW+/QCrCrzVztWUlAkF1pNAa2RfHahrlXwfiqoN3rvG29t3WrQKbi1VrQNrqjr8lXa8Bz60afv633tm4VyLQWtPZtz+1XD7HR9613ZN/zexVsBdc9Z55jn01AkD3biN76o3htG1jFY5vX1bfOVLxaC9pmq7WgzevqW2daC1YaqysH2ZXGQVsIZBcQZLOP4DvtV7y2Dazitc3r6ltnKl6tBe2z1XrQbnbVPTKtBSuNkSC70mhoC4G8AoJs3rH7sOWK17aBVbi2eV1960zFq7WgbbZaC9q8rr51prVgpbESZFcaDW0hkFdAkM07doLswLFTvA7EvMChMhWvgmzbhLQWtHldfetMa8FKYyXIrjQa2kIgr4Agm3fsBNmBY6d4HYh5gUNlKl4F2bYJaS1o87r61pnWgpXGSpBdaTS0hUBeAUE279gJsgPHTvE6EPMCh8pUvAqybRPSWtDmdfWtM60FK42VILvSaGgLgbwCgmzesUsTZKOhrT9BcfSwKF6PFs99vkzFqyDbNtesBW1eV98601qw2litHmb3+vmd1cZBewhkFhBkM4/eB21fqXhdPcgqXE96EezYrUzF60prwepvaMWUsR7seOGc8NCZ1oLV+FcOskLsarNFewi8LSDInnRmrFS8CrInnWQX7lam4tVa0DZRBdk2r6tvnWktWG2sBNnVRkR7COQTEGTzjVlVi1crXlcOswrXqilloweBTMXramvByndlrQUu81aBTGtBa9+O2H7VMOuO7BGj7xwEtgsIstsNlzzCasXrqkFW4brk9F2+UZmK19XWAkF2+emtgQ0CmdaChm4dtumKQVaIPWz4nYjAZgFBdjPhmgdYrXgVZNecJ1rVJ5CpeLUW1I+xN7bqrWz5NYFMa8GKYybIrjgq2kQgj4Agm2esmlq6YvG6WphVtDZNKRs/CGQqXldcC1a8K2s9cIn3CGRaC3r6d8Q+K4VZd2OPGHHnIDBOQJAdZ7nUkVYsXu9AqxSxCtelpmyqxmQqXlddC1ZZB2LiWQtSXX5LNTbTWrAU3FNjVgmzguzKs0TbCHyzgCB70lmxavG6yl1ZhetJJ/5B3cpUvK66FgiyB01Wp9lVINNasCvExoOvEGSF2I2DaHcCEwQE2QnoR5xy1eJ1hbuyQuwRM/Dc58hUvK68FqwQZq0H575W9+5dprVgb4utx58ZZoXYraNnfwJzBATZOe67n3Xl4nVmmFW07j71LnGCTMXr6mvBzDBrPbjE5bprJzOtBbtCDDr4jDArxA4aPIchMEFAkJ2AfsQpVy9eZ4VZhesRs+/858hUvGZYC2aEWWvB+a/TI3qYaS04wmPEOY4Os4LsiFFzDAJzBATZOe67nzVD8XpkmFW07j7lLnWCTMVrlrXgyDBrPbjU5bprZzOtBbtCDD74EWFWgB08aA5HYIKAIDsB/YhTZilejwizitYjZty1zpGpeM20FhwRZq0H17pW9+5tprVgb4vRx98zzAqxo0fL8QjMERBk57jvftZMxeueYVbRuvtUu+QJMhWv2daCPcOs9eCSl+uunc60FuwKsdPB9wizQuxOg+WwBCYICLIT0I84Zbbi9dFkRCGrYD1ill33HJmK16xrwYh14D5DrQfXvVb37nmmtWBviz2PPyLQCrB7jpBjE5gjIMjOcd/9rFmL1y2BVrG6+7RygptApuI1+1qwJdBaE1yyewtkWgv2tjji+K2BVng9YlScg8A8AUF2nv2uZ85evL6HE0Wt4nTXqePgFQKZitczrQU1odb6UDGBbTJMINNaMKzTix0owq3AutigaA6BgwQE2YOgjz7NmYrXo+2cj8ArgUzFq7Xg1Wj6dwL9ApnWgv5e2pMAAQJrCgiya47L5lYpXjcTOgCBdwUyFa/WAhOZwH4CmdaC/RQcmQABAnMEBNk57rufVfG6O7ETXFggU/FqLbjwRNX13QUyrQW7YzgBAQIEDhYQZA8GP+p0itejpJ3nigKZildrwRVnqD4fJZBpLTjKxHkIECBwlIAge5T0wedRvB4M7nSXEshUvFoLLjU1dfZggUxrwcE0TkeAAIHdBQTZ3YnnnEDxOsfdWa8hkKl4tRZcY07q5RyBTGvBHCFnJUCAwH4Cgux+tlOPrHidyu/kJxfIVLxaC04+GXVvqkCmtWAqlJMTIEBgBwFBdgfUFQ6peF1hFLThrAKZildrwVlnoX6tIJBpLVjBSxsIECAwUkCQHam50LEUrwsNhqacTiBT8WotON3006GFBDKtYSk53QAACtpJREFUBQuxaQoBAgSGCAiyQxjXO4jidb0x0aLzCGQqXq0F55l3erKeQKa1YD09LSJAgMA2AUF2m9+yeytelx0aDTuBQKbi1VpwggmnC8sKZFoLlkXUMAIECHQKCLKdcHYjQIAAAQIECBAgQIAAgTkCguwcd2clQIAAAQIECBAgQIAAgU4BQbYTzm4ECBAgQIAAAQIECBAgMEdAkJ3j7qwECBAgQIAAAQIECBAg0CkgyHbC2Y0AAQIECBAgQIAAAQIE5ggIsnPcnZUAAQIECBAgQIAAAQIEOgUE2U44uxEgQIAAAQIECBAgQIDAHAFBdo67sxIgQIAAAQIECBAgQIBAp4Ag2wlnNwIECBAgQIAAAQIECBCYIyDIznF3VgIECBAgQIAAAQIECBDoFBBkO+HsRoAAAQIECBAgQIAAAQJzBATZOe7OSoAAAQIECBAgQIAAAQKdAoJsJ5zdCBAgQIAAAQIECBAgQGCOgCA7x91ZCRAgQIAAAQIECBAgQKBTQJDthLMbAQIECBAgQIAAAQIECMwREGTnuDsrAQIECBAgQIAAAQIECHQKCLKdcHYjQIAAAQIECBAgQIAAgTkCguwcd2clQIAAAQIECBAgQIAAgU4BQbYTzm4ECBAgQIAAAQIECBAgMEdAkJ3j7qwECBAgQIAAAQIECBAg0CkgyHbC2Y0AAQIECBAgQIAAAQIE5ggIsnPcnZUAAQIECBAgQIAAAQIEOgUE2U44uxEgQIAAAQIECBAgQIDAHAFBdo67sxIgQIAAAQIECBAgQIBAp4Ag2wlnNwIECBAgQIAAAQIECBCYIyDIznF3VgIECBAgQIAAAQIECBDoFBBkO+HsRoAAAQIECBAgQIAAAQJzBATZOe7OSoAAAQIECBAgQIAAAQKdAoJsJ5zdCBAgQIAAAQIECBAgQGCOgCA7x91ZCRAgQIAAAQIECBAgQKBTQJDthLMbAQIECBAgQIAAAQIECMwREGTnuDsrAQIECBAgQIAAAQIECHQKCLKdcHYjQIAAAQIECBAgQIAAgTkCguwcd2clQIAAAQIECBAgQIAAgU4BQbYTzm4ECBAgQIAAAQIECBAgMEdAkJ3j7qwECBAgQIAAAQIECBAg0CkgyHbC2Y0AAQIECBAgQIAAAQIE5ggIsnPcnZUAAQIECBAgQIAAAQIEOgUE2U44uxEgQIAAAQIECBAgQIDAHAFBdo67sxIgQIAAAQIECBAgQIBAp4Ag2wlnNwIECBAgQIAAAQIECBCYIyDIznF3VgIECBAgQIAAAQIECBDoFBBkO+HsRoAAAQIECBAgQIAAAQJzBATZOe7OSoAAAQIECBAgQIAAAQKdAoJsJ5zdCBAgQIAAAQIECBAgQGCOgCA7x91ZCRAgQIAAAQIECBAgQKBTQJDthLMbAQIECBAgQIAAAQIECMwREGTnuDsrAQIECBAgQIAAAQIECHQKCLKdcHYjQIAAAQIECBAgQIAAgTkCguwcd2clQIAAAQIECBAgQIAAgU4BQbYTzm4ECBAgQIAAAQIECBAgMEdAkJ3j7qwECBAgQIAAAQIECBAg0CkgyHbC2Y0AAQIECBAgQIAAAQIE5ggIsnPcnZUAAQIECBAgQIAAAQIEOgUE2U44uxEgQIAAAQIECBAgQIDAHAFBdo67sxIgQIAAAQIECBAgQIBAp4Ag2wlnNwIECBAgQIAAAQIECBCYIyDIznF3VgIECBAgQIAAAQIECBDoFBBkO+HsRoAAAQIECBAgQIAAAQJzBATZOe7OSoAAAQIECBAgQIAAAQKdAoJsJ5zdCBAgQIAAAQIECBAgQGCOgCA7x91ZCRAgQIAAAQIECBAgQKBTQJDthLMbAQIECBAgQIAAAQIECMwREGTnuDsrAQIECBAgQIAAAQIECHQKCLKdcHYjQIAAAQIECBAgQIAAgTkCguwcd2clQIAAAQIECBAgQIAAgU4BQbYTzm4ECBAgQIAAAQIECBAgMEdAkJ3j7qwECBAgQIAAAQIECBAg0CkgyHbC2Y0AAQIECBAgQIAAAQIE5ggIsnPcnZUAAQIECBAgQIAAAQIEOgUE2U44uxEgQIAAAQIECBAgQIDAHAFBdo67sxIgQIAAAQIECBAgQIBAp4Ag2wlnNwIECBAgQIAAAQIECBCYIyDIznF3VgIECBAgQIAAAQIECBDoFBBkO+HsRoAAAQIECBAgQIAAAQJzBATZOe7OSoAAAQIECBAgQIAAAQKdAoJsJ5zdCBAgQIAAAQIECBAgQGCOgCA7x91ZCRAgQIAAAQIECBAgQKBTQJDthLMbAQIECBAgQIAAAQIECMwREGTnuDsrAQIECBAgQIAAAQIECHQKCLKdcHYjQIAAAQIECBAgQIAAgTkCguwcd2clQIAAAQIECBAgQIAAgU4BQbYTzm4ECBAgQIAAAQIECBAgMEdAkJ3j7qwECBAgQIAAAQIECBAg0CkgyHbC2Y0AAQIECBAgQIAAAQIE5ggIsnPcnZUAAQIECBAgQIAAAQIEOgUE2U44uxEgQIAAAQIECBAgQIDAHAFBdo67sxIgQIAAAQIECBAgQIBAp4Ag2wlnNwIECBAgQIAAAQIECBCYIyDIznF3VgIECBAgQIAAAQIECBDoFBBkO+HsRoAAAQIECBAgQIAAAQJzBATZOe7OSoAAAQIECBAgQIAAAQKdAoJsJ5zdCBAgQIAAAQIECBAgQGCOgCA7x91ZCRAgQIAAAQIECBAgQKBTQJDthLMbAQIECBAgQIAAAQIECMwREGTnuDsrAQIECBAgQIAAAQIECHQKCLKdcHYjQIAAAQIECBAgQIAAgTkCguwcd2clQIAAAQIECBAgQIAAgU4BQbYTzm4ECBAgQIAAAQIECBAgMEdAkJ3j7qwECBAgQIAAAQIECBAg0CkgyHbC2Y0AAQIECBAgQIAAAQIE5ggIsnPcnZUAAQIECBAgQIAAAQIEOgUE2U44uxEgQIAAAQIECBAgQIDAHAFBdo67sxIgQIAAAQIECBAgQIBAp4Ag2wlnNwIECBAgQIAAAQIECBCYIyDIznF3VgIECBAgQIAAAQIECBDoFBBkO+HsRoAAAQIECBAgQIAAAQJzBATZOe7OSoAAAQIECBAgQIAAAQKdAoJsJ5zdCBAgQIAAAQIECBAgQGCOgCA7x91ZCRAgQIAAAQIECBAgQKBTQJDthLMbAQIECBAgQIAAAQIECMwREGTnuDsrAQIECBAgQIAAAQIECHQKCLKdcHYjQIAAAQIECBAgQIAAgTkCguwcd2clQIAAAQIECBAgQIAAgU4BQbYTzm4ECBAgQIAAAQIECBAgMEdAkJ3j7qwECBAgQIAAAQIECBAg0CkgyHbC2Y0AAQIECBAgQIAAAQIE5ggIsnPcnZUAAQIECBAgQIAAAQIEOgUE2U44uxEgQIAAAQIECBAgQIDAHAFBdo67sxIgQIAAAQIECBAgQIBAp4Ag2wlnNwIECBAgQIAAAQIECBCYIyDIznF3VgIECBAgQIAAAQIECBDoFBBkO+HsRoAAAQIECBAgQIAAAQJzBATZOe7OSoAAAQIECBAgQIAAAQKdAoJsJ5zdCBAgQIAAAQIECBAgQGCOgCA7x91ZCRAgQIAAAQIECBAgQKBTQJDthLMbAQIECBAgQIAAAQIECMwREGTnuDsrAQIECBAgQIAAAQIECHQKCLKdcHYjQIAAAQIECBAgQIAAgTkC/z/txRe7JGmSDAAAAABJRU5ErkJggg==\" width=\"859.9999813600024\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7\n"
     ]
    }
   ],
   "source": [
    "fig = plt.figure(\"Erosion effect\")\n",
    "ax = fig.add_subplot(1, 3, 1)\n",
    "ax.axis(\"off\")\n",
    "plt.title(\"Erosion ON\")\n",
    "plt.imshow(erod, origin = \"upper\", cmap = cm.binary)\n",
    "ax = fig.add_subplot(1, 3, 2)\n",
    "ax.axis(\"off\")\n",
    "plt.title(\"Erosion OFF\")\n",
    "plt.imshow(binaire, origin = \"upper\", cmap = cm.binary)\n",
    "ax = fig.add_subplot(1, 3, 3)\n",
    "ax.axis(\"off\")\n",
    "plt.title(\"Labeling\")\n",
    "plt.imshow(np.where(lab,lab,np.nan), origin = \"upper\", cmap = cm.jet)\n",
    "#plt.colorbar()\n",
    "plt.show()\n",
    "\n",
    "print(number)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"639.9999861283738\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(\"Labeling\")\n",
    "plt.title(\"Nombre de grains\")\n",
    "plt.imshow(np.where(lab,lab,np.nan), origin = \"upper\", cmap = cm.inferno)\n",
    "plt.colorbar()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sobel filter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"639.9999861283738\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sobx = ndimage.sobel(erod, axis=0, mode='constant')\n",
    "soby = ndimage.sobel(erod, axis=1, mode='constant')\n",
    "sob = np.hypot(sobx, soby)\n",
    "bins = 1000\n",
    "\n",
    "fig = plt.figure(\"Sobel–Feldman operator\")\n",
    "plt.imshow(np.where(sob > 0 , bins, r), origin = \"upper\",cmap = cm.gray)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Localization of centers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"639.9999861283738\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(\"Centers\")\n",
    "plt.imshow(np.where(erod == 1, r, np.nan), origin = \"upper\")\n",
    "ax = fig.add_subplot(1,1,1)\n",
    "#ax.axis(\"off\")\n",
    "for i in range(1,np.max(number)+1):\n",
    "    x,y= np.nonzero(np.where(lab==i,1,0))\n",
    "    xmean=x.mean()\n",
    "    ymean=y.mean()\n",
    "    plt.plot(ymean,xmean,\"k+-\", markersize=60)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img 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\" width=\"639.9999861283738\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "plt.imshow(r, origin = \"upper\")\n",
    "\n",
    "centers = []\n",
    "for l in np.arange(1, number+1):\n",
    "        y, x = np.where(lab == l)\n",
    "        centers.append([x.mean(), y.mean()])\n",
    "centers = np.array(centers).T   \n",
    "plt.plot(centers[0], centers[1], \"or\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1, 2, 3, 4, 5, 6, 7])"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.unique(lab)"
   ]
  }
 ],
 "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",
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