finalNN1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "65d32ac0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "import os\n",
    "from PIL import Image\n",
    "import tensorflow as tf\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "from numpy import asarray\n",
    "from numpy import save\n",
    "from numpy import load\n",
    "\n",
    "import pickle\n",
    "import random"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f6df5289",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(\"StrToNum.txt\", \"rb\") as myFile:\n",
    "    StrToNum = pickle.load(myFile)\n",
    "with open(\"NumToStr.txt\", \"rb\") as myFile:\n",
    "    NumToStr = pickle.load(myFile)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "fc30e338",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(78200, 32, 32)\n",
      "(78200,)\n",
      "[ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20 21 22 23\n",
      " 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45]\n"
     ]
    }
   ],
   "source": [
    "# load numpy array from npy file\n",
    "from numpy import load\n",
    "# load array\n",
    "trainData = load('finalTrainImgData.npy')\n",
    "trainLabels = load('finalTrainClassName.npy')\n",
    "# print the array\n",
    "print(trainData.shape)\n",
    "print(trainLabels.shape)\n",
    "print(np.unique(trainLabels))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "74de71eb",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "085df6e4",
   "metadata": {
    "scrolled": true
   },
   "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 (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.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",
       "    this.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",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.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 * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.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 (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.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",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\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'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.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 / fig.ratio,\n",
       "        fig.canvas.height / fig.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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\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",
       "                img\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 * this.ratio;\n",
       "    var y = canvas_pos.y * this.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.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\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",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"pgf\", \"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.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(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",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\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 / this.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 (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\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=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig=plt.figure(figsize=(3,3))\n",
    "for i in range(9):\n",
    "    r=random.randint(0, 70000)\n",
    "    plt.subplot(331+i)\n",
    "    plt.imshow(trainData[r])\n",
    "    plt.gca().set_title(NumToStr[trainLabels[r]])\n",
    "fig.tight_layout()\n",
    "fig.set_figheight(8)\n",
    "fig.set_figwidth(8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4e478b6d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(13800, 32, 32)\n",
      "(13800,)\n",
      "[ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20 21 22 23\n",
      " 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45]\n"
     ]
    }
   ],
   "source": [
    "# load numpy array from npy file\n",
    "from numpy import load\n",
    "# load array\n",
    "testData = load('finalTestImgData.npy')\n",
    "testLabels = load('finalTestClassName.npy')\n",
    "# print the array\n",
    "print(testData.shape)\n",
    "print(testLabels.shape)\n",
    "print(np.unique(testLabels))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "cd98749e",
   "metadata": {
    "scrolled": true
   },
   "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 (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.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",
       "    this.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",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.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 * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.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 (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.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",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\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'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.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 / fig.ratio,\n",
       "        fig.canvas.height / fig.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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\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",
       "                img\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 * this.ratio;\n",
       "    var y = canvas_pos.y * this.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.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\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",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"pgf\", \"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.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(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",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\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 / this.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 (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\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=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib notebook       \n",
    "fig=plt.figure(figsize=(3,3))\n",
    "for i in range(9):\n",
    "    r=random.randint(0, 13800)\n",
    "    plt.subplot(331+i)\n",
    "    plt.imshow(testData[r])\n",
    "    plt.gca().set_title(NumToStr[testLabels[r]])\n",
    "fig.tight_layout()\n",
    "fig.set_figheight(8)\n",
    "fig.set_figwidth(8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "0ac5d7c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "model = tf.keras.models.Sequential([tf.keras.layers.Flatten(input_shape=(32,32)), \n",
    "                                    tf.keras.layers.Dense(128, activation='relu'), \n",
    "                                    tf.keras.layers.Dense(128, activation='relu'), \n",
    "                                    tf.keras.layers.Dense(128, activation='relu'),\n",
    "                                    tf.keras.layers.Dense(128, activation='relu'),\n",
    "                                    tf.keras.layers.Dense(46, activation=tf.nn.softmax)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c83b7b00",
   "metadata": {},
   "outputs": [],
   "source": [
    "model.compile(optimizer = 'adam',\n",
    "              loss = 'sparse_categorical_crossentropy',\n",
    "              metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "24107c99",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/3\n",
      "2444/2444 [==============================] - 6s 2ms/step - loss: 0.9870 - accuracy: 0.7187\n",
      "Epoch 2/3\n",
      "2444/2444 [==============================] - 6s 2ms/step - loss: 0.4438 - accuracy: 0.8664\n",
      "Epoch 3/3\n",
      "2444/2444 [==============================] - 5s 2ms/step - loss: 0.3375 - accuracy: 0.8966\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x24983751310>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(trainData, trainLabels , epochs=3)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "929317ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2444/2444 [==============================] - 5s 2ms/step - loss: 0.2655 - accuracy: 0.9176\n",
      "[0.2655077278614044, 0.9175831079483032]\n"
     ]
    }
   ],
   "source": [
    "print(model.evaluate(trainData,trainLabels))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f4bfc7ba",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "432/432 [==============================] - 1s 2ms/step - loss: 0.3710 - accuracy: 0.8919\n",
      "[0.37098005414009094, 0.8918840289115906]\n"
     ]
    }
   ],
   "source": [
    "print(model.evaluate(testData,testLabels))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "d67d0b5d",
   "metadata": {},
   "outputs": [],
   "source": [
    "randomImgPath='D:\\SOFTWARES\\Jupyter\\\\p11.jpeg'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "297916a7",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'PIL.Image.Image'>\n",
      "(32, 32)\n",
      "<class 'numpy.ndarray'>\n"
     ]
    },
    {
     "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 (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.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",
       "    this.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",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.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 * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.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 (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.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",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\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'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.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 / fig.ratio,\n",
       "        fig.canvas.height / fig.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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\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",
       "                img\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 * this.ratio;\n",
       "    var y = canvas_pos.y * this.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.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\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",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"pgf\", \"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.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(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",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\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 / this.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 (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\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"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(78200, 32, 32)\n",
      "(1, 32, 32)\n",
      "character_30_motosaw\n"
     ]
    }
   ],
   "source": [
    "randomImg = Image.open(randomImgPath)\n",
    "\n",
    "randomImg = randomImg.convert('L')\n",
    "\n",
    "\n",
    "randomImg = randomImg.resize((32,32))\n",
    "print(type(randomImg))\n",
    "\n",
    "randomImg= np.array(randomImg)\n",
    "randomImg= np.resize(randomImg,(32,32))\n",
    "randomImg = randomImg.astype('float32')\n",
    "randomImg /= 255  \n",
    "\n",
    "\n",
    "print(randomImg.shape)\n",
    "\n",
    "ip=np.resize(randomImg,(1,32,32))\n",
    "# ip=testData[2:10]\n",
    "print(type(ip))\n",
    "\n",
    "plt.figure()\n",
    "\n",
    "plt.subplot(111)\n",
    "plt.imshow(ip[0])\n",
    "\n",
    "print(trainData.shape)\n",
    "print(ip.shape)\n",
    "prediction = model.predict(ip)\n",
    "print(NumToStr[np.argmax(prediction[0])])\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9badc2f3",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6be625c1",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}