example_23_05_2022_learning_functions_2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5f2a6aca",
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "%matplotlib inline\n",
    "%config InlineBackend.figure_format = 'svg'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ce8e4dc9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Enable interactive plot\n",
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "af1e5b19",
   "metadata": {},
   "source": [
    "## Add Path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "05922b03",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import sys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a5f92a5c",
   "metadata": {},
   "outputs": [],
   "source": [
    "module_path = os.path.abspath(os.path.join('..'))\n",
    "if module_path not in sys.path:\n",
    "    sys.path.append(module_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "fb3ab875",
   "metadata": {},
   "outputs": [],
   "source": [
    "del module_path"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f239f9db",
   "metadata": {},
   "source": [
    "## Organize imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "71ee9065",
   "metadata": {},
   "outputs": [],
   "source": [
    "from typing import Dict, List, Optional, Tuple, Union"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c3a78de2",
   "metadata": {},
   "outputs": [],
   "source": [
    "from collections import OrderedDict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "81cb8f36",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pathlib import Path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5306a6f9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.animation import FuncAnimation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b0a01b0f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import random"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "7702d68c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "420dabad",
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.optim as optim\n",
    "from torch.utils.data import TensorDataset, DataLoader\n",
    "import torch.nn.functional as F\n",
    "import torchvision\n",
    "from torchvision.models import resnet18, resnet34, resnet50\n",
    "from torchvision import transforms\n",
    "from torchvision.datasets import FashionMNIST, CIFAR10, STL10\n",
    "import time\n",
    "from tqdm.autonotebook import tqdm\n",
    "from torch.utils.data import DataLoader\n",
    "from sklearn.metrics import precision_score, recall_score, f1_score, accuracy_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "44a56b4a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import kornia.augmentation as K"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "d43aa502",
   "metadata": {},
   "outputs": [],
   "source": [
    "from kornia.augmentation.utils import _shape_validation\n",
    "from kornia.geometry.bbox import bbox_to_mask, infer_bbox_shape\n",
    "from kornia.constants import BorderType, Resample\n",
    "from kornia.augmentation import random_generator as rg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "33312b4e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pytorch_lightning as pl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "9bc79775",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<torch._C.Generator at 0x7fa81669c650>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "torch.manual_seed(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f17346af",
   "metadata": {},
   "source": [
    "## Universal Approximation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "c723212b",
   "metadata": {},
   "outputs": [],
   "source": [
    "def _init_plt(X, y):\n",
    "    plt.figure(figsize=(10,4))\n",
    "    plt.scatter(X, y, color = \"orange\")\n",
    "    plt.title('Regression Analysis')\n",
    "    plt.xlabel('Independent varible')\n",
    "    plt.ylabel('Dependent varible')\n",
    "    plt.show()\n",
    "    fig, ax = plt.subplots(figsize=(12,7))\n",
    "\n",
    "    return fig, ax\n",
    "\n",
    "def plot_progress(ax, fig, x_t, y_t, y_hat, loss, t):\n",
    "    # plot and show learning process\n",
    "    x_v = x_t.to('cpu').data.numpy()\n",
    "    y_v = y_t.to('cpu').data.numpy()\n",
    "    y_hat_v = y_hat.to('cpu').data.numpy()\n",
    "    ls_v = loss.to('cpu').data.numpy()\n",
    "    plt.cla()\n",
    "    ax.set_title('Regression Analysis', fontsize=35)\n",
    "    ax.set_xlabel('Independent variable', fontsize=24)\n",
    "    ax.set_ylabel('Dependent variable', fontsize=24)\n",
    "    ax.set_xlim(-1.0, 1.0)\n",
    "    ax.set_ylim(-1.0, 1.0)\n",
    "    ax.scatter(x_v, y_v, color = \"orange\")\n",
    "    #         ax.plot(x_v, y_hat_v, 'g-', lw=3)\n",
    "    ax.scatter(x_v, y_hat_v, color = \"blue\")\n",
    "    ax.text(1.0, 0.1, 'Step = %d' % t, fontdict={'size': 24, 'color':  'red'})\n",
    "    ax.text(1.0, 0, 'Loss = %.4f' % ls_v,\n",
    "            fontdict={'size': 24, 'color':  'red'})\n",
    "\n",
    "    # Used to return the plot as an image array \n",
    "    # (https://ndres.me/post/matplotlib-animated-gifs-easily/)\n",
    "    fig.canvas.draw()       # draw the canvas, cache the renderer\n",
    "\n",
    "    image = np.frombuffer(fig.canvas.tostring_rgb(), dtype='uint8')\n",
    "    image  = image.reshape(fig.canvas.get_width_height()[::-1] + (3,))\n",
    "\n",
    "    return image"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "01e569db",
   "metadata": {},
   "source": [
    "## Define funcrtions"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82741703",
   "metadata": {},
   "source": [
    "Define functions for model approximation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3574aa0a",
   "metadata": {},
   "source": [
    "#### Function space"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "3377b9fb",
   "metadata": {},
   "outputs": [],
   "source": [
    "def funct_space(xs: np.ndarray, func: callable) -> np.ndarray:\n",
    "    return func(xs)\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e2db748",
   "metadata": {},
   "source": [
    "# Sample X space"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d9f7abae",
   "metadata": {},
   "source": [
    "Generate random sample from $X$ spaces"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4fe5251b",
   "metadata": {},
   "source": [
    "$$ \n",
    "f(x) = sin(x) + 2x^2 - 3x\n",
    "$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "9d2105bc",
   "metadata": {},
   "outputs": [],
   "source": [
    "def func_mod(x): \n",
    "    return np.sin(x) + 2 * x**2 - 3 * x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "a18dae8f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((6400,), (1000,))"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train = np.random.uniform(low=-1, high=1, size=(2 * 4 * 4 * 200,))\n",
    "X_test = np.random.uniform(low=-1, high=1, size=(1000,))\n",
    "X_train.shape, X_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "ab09d69c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((6400,), (1000,))"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train = funct_space(X_train, func_mod)\n",
    "y_test = funct_space(X_test, func_mod)\n",
    "y_train.shape, y_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "abea83ce",
   "metadata": {},
   "outputs": [
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       "\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",
       "    fig.rubberband_canvas.style.cursor = msg['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 https://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",
       " * https://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\", \"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",
       "    // 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"
    },
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\" width=\"432\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(X_train, y_train, 'bo')\n",
    "plt.show()\n",
    "# plt.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e3fa824d",
   "metadata": {},
   "source": [
    "## Define model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "d3ecf0c1",
   "metadata": {},
   "outputs": [],
   "source": [
    "def init_net(\n",
    "    in_features = 1, out_features = 1, hidden_features = 10, h_mul = 1):\n",
    "    return nn.Sequential(OrderedDict([\n",
    "            ('fn1', nn.Linear(in_features, hidden_features, bias=True)),\n",
    "            ('a1', nn.ReLU()),\n",
    "        ]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "6cf5dffe",
   "metadata": {},
   "outputs": [],
   "source": [
    "def init_net_1(\n",
    "    in_features = 1, out_features = 1, hidden_features = 10, h_mul = 1):\n",
    "    return nn.Sequential(OrderedDict([\n",
    "            ('fn1', nn.Linear(in_features, hidden_features, bias=True)),\n",
    "            ('a1', nn.ReLU()),\n",
    "            ('fn2', nn.Linear(hidden_features, out_features, bias=True)),\n",
    "        ]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "5f43d018",
   "metadata": {},
   "outputs": [],
   "source": [
    "def init_net_2(\n",
    "    in_features = 1, out_features = 1, hidden_features = 8, h_mul = 1):\n",
    "    return nn.Sequential(OrderedDict([\n",
    "            ('fn1', nn.Linear(in_features, hidden_features, bias=True)),\n",
    "            ('a1', nn.ReLU()),\n",
    "            ('d1', nn.Dropout(p = 0.25)),\n",
    "            ('fn2', nn.Linear(hidden_features, h_mul * hidden_features, bias=True)),\n",
    "            ('a2', nn.ReLU()),\n",
    "            ('d2', nn.Dropout(p = 0.5)),\n",
    "            ('fn3', nn.Linear(h_mul * hidden_features, out_features, bias=True)),\n",
    "        ]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "983c054b",
   "metadata": {},
   "outputs": [],
   "source": [
    "def init_net_3(\n",
    "    in_features = 1, out_features = 1, hidden_features = 8, h_mul = 1):\n",
    "    return nn.Sequential(OrderedDict([\n",
    "            ('fn1', nn.Linear(in_features, hidden_features, bias=True)),\n",
    "            ('a1', nn.ReLU()),\n",
    "            ('fn2', nn.Linear(hidden_features, h_mul * hidden_features, bias=True)),\n",
    "            ('a2', nn.ReLU()),\n",
    "            ('fn3', nn.Linear(h_mul * hidden_features, h_mul * hidden_features, bias=True)),\n",
    "            ('a3', nn.ReLU()),\n",
    "            ('fn4', nn.Linear(h_mul * hidden_features, out_features, bias=True)),\n",
    "        ]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "6c92f196",
   "metadata": {},
   "outputs": [],
   "source": [
    "def init_net_4(\n",
    "    in_features = 1, out_features = 1, hidden_features = 8, h_mul = 1):\n",
    "    return nn.Sequential(OrderedDict([\n",
    "            ('fn1', nn.Linear(in_features, hidden_features, bias=True)),\n",
    "            ('a1', nn.ReLU()),\n",
    "            ('fn2', nn.Linear(hidden_features, h_mul * hidden_features, bias=True)),\n",
    "            ('a2', nn.ReLU()),\n",
    "            ('fn3', nn.Linear(h_mul * hidden_features, hidden_features, bias=True)),\n",
    "            ('a3', nn.ReLU()),\n",
    "            ('fn4', nn.Linear(h_mul * hidden_features, hidden_features, bias=True)),\n",
    "            ('a4', nn.ReLU()),\n",
    "            ('fn5', nn.Linear(hidden_features, out_features, bias=True)),\n",
    "        ]))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b9128bf",
   "metadata": {},
   "source": [
    "## Train model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "3e2ab82d",
   "metadata": {},
   "outputs": [],
   "source": [
    "def to_tensors(X, y):\n",
    "    X_t = torch.unsqueeze(torch.Tensor(X), dim=1)\n",
    "    y_t = torch.unsqueeze(torch.Tensor(y), dim=1)\n",
    "    \n",
    "    return X_t, y_t"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "77b63fdb",
   "metadata": {},
   "outputs": [],
   "source": [
    "def train(\n",
    "    net: nn.Module, optimizer, loss, X, y, epochs: int = 1000):\n",
    "    fig, ax = _init_plt(X, y)\n",
    "    net.train()\n",
    "    X_t, y_t = to_tensors(X, y)\n",
    "    for ep in tqdm(range(epochs), desc='Training the model'):\n",
    "        y_hat = net(X_t)\n",
    "        ls = loss(y_hat, y_t)\n",
    "        optimizer.zero_grad()\n",
    "        ls.backward()\n",
    "        optimizer.step()\n",
    "        img = plot_progress(ax, fig, X_t, y_t, y_hat, ls, ep + 1)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "56e55998",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Sequential(\n",
       "  (fn1): Linear(in_features=1, out_features=8, bias=True)\n",
       "  (a1): ReLU()\n",
       "  (fn2): Linear(in_features=8, out_features=16, bias=True)\n",
       "  (a2): ReLU()\n",
       "  (fn3): Linear(in_features=16, out_features=16, bias=True)\n",
       "  (a3): ReLU()\n",
       "  (fn4): Linear(in_features=16, out_features=1, bias=True)\n",
       ")"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "net = init_net_3(hidden_features=8, h_mul=2)\n",
    "net"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "59e11984",
   "metadata": {
    "scrolled": false
   },
   "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_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\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",
       "    fig.rubberband_canvas.style.cursor = msg['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 https://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",
       " * https://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\", \"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",
       "    // 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=\"720\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\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",
       "    fig.rubberband_canvas.style.cursor = msg['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 https://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",
       " * https://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\", \"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",
       "    // 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"
    },
    {
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\" width=\"864\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0143fadb12df477c94f44a4e9eef337b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Training the model:   0%|          | 0/1000 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "net = init_net_1(hidden_features=32 * 2, h_mul=4)\n",
    "optimizer = torch.optim.SGD(net.parameters(), lr=0.01)\n",
    "loss = torch.nn.MSELoss()\n",
    "epochs  = 2 * 500\n",
    "train(\n",
    "    net, optimizer, loss, X_train, y_train, epochs=epochs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "86fab9b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Sequential(\n",
       "  (fn1): Linear(in_features=1, out_features=64, bias=True)\n",
       "  (a1): ReLU()\n",
       "  (fn2): Linear(in_features=64, out_features=1, bias=True)\n",
       ")"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "net"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "96011ae4",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_test = np.random.uniform(low=-1, high=1, size=(10000,))\n",
    "y_test = funct_space(X_test, lambda x: x**2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "2431b93c",
   "metadata": {},
   "outputs": [],
   "source": [
    "def test(net: nn.Module, X, y):\n",
    "    net.eval()\n",
    "    X_t = torch.unsqueeze(torch.Tensor(X), dim=1)\n",
    "    y_hat_t = net(X_t)\n",
    "    y_hat = y_hat_t.to('cpu').data.numpy()\n",
    "    fig = plt.figure()\n",
    "    ax1 = fig.add_subplot(111)\n",
    "    ax1.scatter(X, y, s=10, c='b', marker=\"s\", label='ground true')\n",
    "    ax1.scatter(X, y_hat, s=10, c='r', marker=\"o\", label='predicted')\n",
    "    plt.legend(loc='upper left');\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "ef0d3f86",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\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",
       "    fig.rubberband_canvas.style.cursor = msg['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 https://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",
       " * https://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\", \"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",
       "    // 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=\"432\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "test(net, X_test, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "d1762e97",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((10000,), (10000,))"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test.shape, y_test.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f8097ee",
   "metadata": {},
   "source": [
    "## Transfer learning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "f214725e",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_d = np.random.uniform(low=-1, high=1, size=(50,))\n",
    "y_d = funct_space(X_d, lambda x: x**3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "410cfeed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((50,), (50,))"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_d.shape, y_d.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "af998924",
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.plot(X_d, y_d, 'bo')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "75eeabd3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Sequential(\n",
       "  (fn1): Linear(in_features=1, out_features=64, bias=True)\n",
       "  (a1): ReLU()\n",
       ")"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "net[:-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "3a6f170d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(Sequential(\n",
       "   (0): Sequential(\n",
       "     (fn1): Linear(in_features=1, out_features=64, bias=True)\n",
       "     (a1): ReLU()\n",
       "   )\n",
       "   (1): Linear(in_features=64, out_features=1, bias=True)\n",
       " ),\n",
       " Linear(in_features=64, out_features=1, bias=True))"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fc_d = nn.Linear(\n",
    "    net[-1].in_features, net[-1].out_features, bias=True)\n",
    "net_d = nn.Sequential(net[:-1], fc_d)\n",
    "net_d, net_d[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "bcb8926b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\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",
       "    fig.rubberband_canvas.style.cursor = msg['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 https://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",
       " * https://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\", \"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",
       "    // 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=\"720\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\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",
       "    fig.rubberband_canvas.style.cursor = msg['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 https://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",
       " * https://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\", \"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",
       "    // 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=\"864\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "55bfaa8db9e24abbb3cb73fa5a5dc553",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Training the model:   0%|          | 0/50 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "optimizer_d = torch.optim.SGD(net_d[-1].parameters(), lr=0.01, momentum=0.9)\n",
    "loss_d = torch.nn.MSELoss()\n",
    "epochs_d  = 50\n",
    "train(\n",
    "    net_d, optimizer_d, loss_d, X_d, y_d, epochs=epochs_d)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "46e41131",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((10000,), (10000,))"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_d_test = np.random.uniform(low=-1, high=1, size=(10000,))\n",
    "y_d_test = funct_space(X_d_test, lambda x: x**3)\n",
    "X_d_test.shape, y_d_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "c0e79622",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\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",
       "    fig.rubberband_canvas.style.cursor = msg['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 https://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",
       " * https://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\", \"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",
       "    // 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=\"432\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "test(net_d, X_d_test, y_d_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "30fb2954",
   "metadata": {},
   "outputs": [],
   "source": [
    "?? init_net_1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba3d193f",
   "metadata": {},
   "source": [
    "## Compare with method from scratch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "8d6f9e81",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\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",
       "    fig.rubberband_canvas.style.cursor = msg['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 https://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",
       " * https://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\", \"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",
       "    // 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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FYQVsNd3rgLaCrT73/X+rios/PIkN7VefQ0JECBAgAABAgQIEGglICBsxaQRAQIECBAgQIAAgZUS2CggrBCpQogKjyoo611rhS0VOtTZc3VuWVXbnb6BYoWEdaZZhQ239VVT9W7pBQr169qqtKr51rr6g4n6vE1AWKHl/9xgbPXZ/9N8XmFGbV+53tV/9l2dE/iWvoYVRtU5fBW61Hamg9WWG71ktX1rVQ3WVeOpMY96DQsIK6irwK6uCi8rxFzrqrCyKuGq4q+uqvLqhbe99v3hWq1rtR0MhqttvU8Vutb2qbc3ZzKOOq/+9hW0VYBaFWh1NuTnNv/ba1PrV2H2sDnW57OYQ42txljhXVWEDl7DAsJqX2FahbYVSNY2ov3nhPb6qzWr8/3qqi1v/8vAg6pCt6p/q5q0qv1GvYYFhPVOVNVwnZnZe49GfYb2BAgQIECAAAECBAhMICAgnADPrQQIECBAgAABAgSWVGCU4KoIqvKpKgUHr/5tCmvryiuGeP23JD/ctKnKpgoX66oqovuTVIhYIVmFP2ttQdrrvs7vq6qjuoYFhBWiVMVchUlrXfXvTFWxeFgTvFRl30ZXnbdYWzJWpd1gBdf/TvKNzdgrCK0gq+1VlYO9LScrjKuAZ9RrWEBY1ZfPajp9el8l2lrPqXMWe9uvrlX51x+uDQtgq3Kzzr+r9662r6xwatzra/resxpfryq111+tZwWRFbTVFrcVoN27zsNmMYc6G/GHmvFUJWi9e/1Xm4CwP6R+eZJan8GrAuDeWZ4V0FVQ13+VSYXYdZZhfd5fCdtmbYYFhFXlWP+hQT2nvgtrhZhtnqMNAQIECBAgQIAAAQJjCggIx4RzGwECBAgQIECAAIElFmgbENaZZBXADG712aOps+vq7L66KpwaFgJUdV2d1VZXf6BYoVydT1bXJc15dhvx929bOSwgrDPa6qy29a7/kOSvmg+rArDOeBt21VmJn7NGoFhbp9b2nHXVVpMViNY5bIMh0Hr972i2e6zP677XNtWMbcObjQLC+nfD2mq1AroaT4VTG131eW+L0wp7KlDsv/rDtVq/jbaIrDMKqyq0rqo6rXMCx72qsvSFzc1rVTbWR3XuXp2/V1dVhtbWr2td05hDVdHWXKvC74uaCsreeY+DY3hakgq7+682AWGt4Yeb7WjrO1pnhfZfhzdnMFZlb63LWqF3v2MFuL/YVIn2b0O60RoNCwh/vjkns/qoOdav/6D5DwHGXXv3ESBAgAABAgQIECAwgoCAcAQsTQkQIECAAAECBAisiEB/QFgVb72rtoGsgKK2zqzzyeqqwKyqlNaq6Kvz6QaDo7aE/dtz1hiq+q6uCtV+dEgn/ZWLwwLCjbbSrMd8XZLL2w56oN3gVqkVyPzxwFmNZf3XzRlsVcH3hxsEqcc3W7XWuW+9qyofKzj80ybAqcBzverKjQLC/grFG5Oc3GLOVdFY91VVZ1Xi9V/94doTm6q99brsb9tfOdpiCJ/WpCreaiy1NWYFZHV25FoWx/SdqbdWuNnrtMs5lFO9a2eMMKm1trNtExDWIyo87m0bOlgN+v1N4Fft6izJOpdx8Krn1LvUv65VcVnf6fr5Nc1f64XTwwLCWqt6Z5/S9+A6j7DOMqz+r22+K20DyRFYNSVAgAABAgQIECBAoAQEhN4DAgQIECBAgAABAgQGBTY6g7D37xFVpdc7l6+2RfyRNRgrIFvrHLU24v3BXv92llX59bNDOvi2JG9s2gwLCAe3AR3suoLKN7cZ8BptagvRClr6rwoJ66y/71rjs2pXIcz/arZarW1VB68K0F7VbA9Zge3gVduy/vg6Y94oIKxtW/+h6aztFqb/mOTIpvKwzhLsv0YJ/UZpu9FSlGmvGvDVfRVqa91TIeiJzQdrbbFZH40yrmFt/6TvDM4HmtC5wrAKNGub216QWdWFvbMfn5OkQuP+q21A2F/5+oYkVb3au2rb0Cc361YVm1U5utZVW+/Wu1Tfv6qIHbyqgrS++/V7wWDV8bCAsPqqd+YHk9T3tc6KHLzK6ZeT/Mw651du9C74jAABAgQIECBAgACBIQICQq8IAQIECBAgQIAAAQKDAsMCwmpf2yLWtp9V1VbhRlWcVSVb/1XbG9Y2if8nSYVZ9b/jXNOsIBwWEJ7VbOdZ465g7ifHmcA691T11Fc1f53WnK3Ya1rbLp6UZL0KqjqXsT4v99oitc4O7A8Mq8qyqi37r1lVEA6rChwWrrUlH7ditUKo713jIaOMa6O2VQn4zqb/Wtfa+vSj60yqgs1XNJ9NEhBWF1WhV+9XBc0VBFYQWWc91pahdVWI/h0tcOvsz/qe9961U5P0V7Gu1U+bgLD36E3NOYc11nqX67tQ26D2rqq6fd4aIWSLoWtCgAABAgQIECBAgMB6AgJC7wYBAgQIECBAgAABAoMCbQLCuqc/bKgwon7df/1+kq9tflBbkv7NmNTTPINwWEBYwcjNzbh/u+98uzGnsuFtFQj9Wl9l4Ubn4w12dFCz1evPNTvFVCViVffd09dwWmcQ/kUTIPWPqatwra3zU5O8p23jgXZ15mJtpTm4XWZXc/ipphKvHltb1tZZe+tdtQ3pC5oPJw0I+ytve5W09b7XuaF11TmIFaqOelUVbFXW/kqznWvd/+V9Z3XWr0cJCAefX4Hh1zeVtIc1H56ZpH4/cREgQIAAAQIECBAg0JGAgLAjSN0QIECAAAECBAgQWCKBtgFhTbnOIqsgo64KA+sMvd71A0l+oflFm61B1yOsarmqgqpKpo3OluvdX1VaFVjUNekWo1UpeW9TMfXPTehW5/5N6yrDXhByaZLacnKUq0LMb2puqKqrP+q7eaOAsJrVdpZViVjXcc15cOs9u3/r1QqK6hzK/qurcK3t3P+/virAy4aMvdfn85uQrH59dpLfndIc6pzOXqXelyb5u3UmVcFbbdv6uObzSQPC+t5Uf1uaMy5rvrWlaVWa1vamtcaTXP3VjrWFaW1l2rsmCQh7ffRvGfvzSX5oksG6lwABAgQIECBAgACBTxcQEHojCBAgQIAAAQIECBAYFBglIKztEq9sOrgpSVX79a4vTPL+JBV8VCVbnYv2kTG5+6sRKzSr8Gytqz+YqM8nDQirjwv6znCrbTtr+85pXVVp+d6m87f1hX1tn9cf2gxWXQ0LCKti8X82D3pLUyW21nMrNK2qyl7AdHqSqwca7suAsILjO5pgrd7do/rOU9zIrX/72MubqrX+9l3N4TVJvqfpeKMKwu9uztzrjWHSgLD6+aUk39d0WO9xL8it8K1+PcnVH+ANVrt2ERD2h+U1j97Wq5OM2b0ECBAgQIAAAQIECDQCAkKvAgECBAgQIECAAAECgwKjBIR1b//Zb4NVhL+Y5PubB9QWkOc0oeFa6vXvJ3W+2YlJfnagQYVQf9L8rLaErPCkF6T1mj6hqYKrgKh3dREQfkGzfeLnNOegvTJJVazV2YtrXVUB9p1J3j6w7WWFHFXhV2c3rne9LkkFL3X91yQ/3fx9hXEVLv1qkjvXubnObau1qPnXGpbHh/raDgsID27W5ojmngqseoFhr5sKB2uM/7n5QQWF29YYT1fhWptv5zf0Vf9VFWSvonXYvRUsVkVdVdjV+ZgVaPcH2F3N4SVJLm4GUyF6nUlYW8D2XxXm1vaiVfXXu7oICL84yd8PPKvOIqwtVasidq2rzius7+zrk+xcp81jmu9abVNaV83p+r62wwLCeo/r3Rr8Dve6eFSS30lSIW5dtS3qbw5bUJ8TIECAAAECBAgQINBeQEDY3kpLAgQIECBAgAABAqsiMGpAWKFf/WF+XYOBUYUwVyQ5rfm8znmrLSCva8KY+vxzkxybpKoRK7ioarQKBAevX09SIVdd/5akApwbmqCuzgr8T81WoDWW3jab25NcNNBRBWe94GPYGYS9W7+6CfyqGrKu25JUhd/fJqnA5ZAkxzThZp3FWEFa/W+dzdi7PtiEd/Xsq5rw8K7mHLcKp+rsuac1javisqoJe2FgL3D5ZJI/a+b9viQPJKlz2uoMvgqieme2vTnJtwzMe1hAWM1rG8oKNmv8dVXgVp4fTfJFTZ+97Vvr2RUOrrVlZlfhWpvvXL1PdWZdXS9rznFsc1+1qRCsV1VXW+JWoN27uppDbelZ70udCVnX7c35evW/FTqXeQWE9R7VlrC13WldXQSE1U//NsD165pXBefrXf3fj/o+V/BX7/nHkjw2yZc071pvPvV5bU3b//vGsICw1/avk1zbBIW1le9nJzm62Vq3vk911Xte34t/bbuo2hEgQIAAAQIECBAgMFxAQDjcSAsCBAgQIECAAAECqyYwakC4KcnfNMFBWQ1uo1ihWlXP1TllveBpI9MK9CrYG7wqTKytL3vh3+DnVdFX1X1VGfXG5sO1zpYbJyCs7qqysSrBKsAYdj2Y5OSm8rDXtgKhrcNuTLKrCYne1de2KrTe2eLealKVaBUGDgYqbQLCur+qtio4rTBovasqE78xSf8Y+9t2Fa4Nm3KFy3XOXlWcVWhcv67zKttetaY3No3rHa5Qtnd1OYd6Tp3Peeg6A6vwrc51rMD1J5o2XQWELxzYkvermoB5PaOqQK0wu81V4V4F2xVo91/DAsL6rrb584iqOq73se142oxZGwIECBAgQIAAAQIEWv4DOSgCBAgQIECAAAECBFZLYNSAsHSqIunXGqb1tp18UlPhVcFHhWwVlnyiqZKrCqWqtquzBv9qCHeFft+e5OlN5V5V2VUVU219Wdt3/mCSn2v6qKBiMFgbNyCsLiuIelFTsVbbK9Z2orUtZIVSFQC+u6kO/IMk/zIwj6oWq/HUNqp1VmMZVAhXYUlV6FUYUtV7FZCuVS1V20XWveVXVXy19Wlt9ViVZxXY1dwr2KvqzLWutgFh3VvbblZlXW0ZW+tWFZL3NZVeVbFXAexGFV1dhmsbvQ61FWav6q+2b60wbNSrKtR61WoV5O1oOuh6DlUlWgH285rtTMvvH5LUu1LnAdYavmoKAWFVlfYCvMEQdD2rGmtV/da7VtvbVvXoQc3WqHXeY21lW2F9fV/XuoYFhLWNbb3L9Vd9jys4r3es9/tBfY+qcrXOGq2qWRcBAgQIECBAgAABAh0LtPkv9jp+pO4IECBAgAABAgQIECAwVYHa+rO3TWMFXbV1oYvAqgp8W19F7fcm+eVVhTBvAgQIECBAgAABAgQeERAQehsIECBAgAABAgQIEFgmgaoO/Pskta3pX/ad6bdMczQXAqMIVLVfVelVxWJVnQrMR9HTlgABAgQIECBAgMCSCggIl3RhTYsAAQIECBAgQIDAEgo8sdnisM6cW+s6stny8GnNh7VF5q8soYMpEWgr8PVJakvYut7UbM3b9l7tCBAgQIAAAQIECBBYYgEB4RIvrqkRIECAAAECBAgQWDKBb07y680Ze3Xm4AeaqqjaRrTOjqvz5+pMvrrqPL5nOL9syd4A0xkm8Ogkz2rOyjw2yQ8051zW2X5f2pyTOawPnxMgQIAAAQIECBAgsAICAsIVWGRTJECAAAECBAgQILAkAhUQ/maLubwjyTm2UmwhpcmyCdQWuzvXmNT3JXnNsk3WfAgQIECAAAECBAgQGF9AQDi+nTsJECBAgAABAgQIENi3Aock+bokX5PkuCSHJzksSVVH3ZlkR5JLkly+b4flaQTmRqA/IPxYkr9N8otJ/vfcjNBACBAgQIAAAQIECBCYCwEB4Vwsg0EQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ2DcCAsJ94+wpBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBOZCQEA4F8tgEAQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgT2jYCAcN84ewoBAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBuRAQEM7FMhgEAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgX0jICDcN86eQoAAAQIECBAgQIAAAQIECBAgQIC609L7AAAgAElEQVQAAQIECBAgQGAuBASEc7EMBkGAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBg3wgICPeNs6cQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQmAsBAeFcLINBrLDA3hWeu6kTIECAAAECBAgQIECAAAECBAgQIEBg0QTkKou2Ysa7poAX2YtBYLYCAsLZ+ns6AQIECBAgQIAAAQIECBAgQIAAAQIERhGQq4yipe3cCniR53ZpDGxFBB4OCPfulROuyHqbJgECBAgQIECAAAECBAgQIECAAAECCyiw337/HqfIVRZw/Qz5MwW8yN4KArMVEBDO1t/TCRAgQIAAAQIECBAgQIAAAQIECBAgMFRAQDiUSIMFExAQLtiCGe7SCQgIl25JTYgAAQIECBAgQIAAAQIECBAgQIAAgWUTEBAu24qaj4DQO0BgtgICwtn6ezoBAgQIECBAgAABAgQIECBAgAABAgSGCggIhxJpsGACAsIFWzDDXToBAeHSLakJESBAgAABAgQIECBAgAABAgQIECCwbAICwmVbUfMREHoHCMxWQEA4W39PJ0CAAAECBAgQIECAAAECBAgQIECAwFABAeFQIg0WTEBAuGALZrhLJyAgXLolNSECBAgQIECAAAECBAgQIECAAAECBJZNQEC4bCtqPgJC7wCB2QoICGfr7+kECBAgQIAAAQIECBAgQIAAAQIECBAYKiAgHEqkwYIJCAgXbMEMd+kEBIRLt6QmRIAAAQIECBAgQIAAAQIECBAgQIDAsgkICJdtRc1HQOgdIDBbAQHhbP09nQABAgQIECBAgAABAgQIECBAgAABAkMFBIRDiTRYMAEB4YItmOEunYCAcOmW1IQIECBAgAABAgQIECBAgAABAgQIEFg2AQHhsq2o+QgIvQMEZisgIJytv6cTIECAAAECBAgQIECAAAECBAgQIEBgqICAcCiRBgsmICBcsAUz3KUTEBAu3ZKaEAECBAgQIECAAAECBAgQIECAAAECyyYgIFy2FTUfAaF3gMBsBQSEs/X3dAIECBAgQIAAAQIECBAgQIAAAQIECAwVEBAOJdJgwQQEhAu2YIa7dAICwqVbUhMiQIAAAQIECBAgQIAAAQIECBAgQGDZBASEy7ai5iMg9A4QmK2AgHC2/p5OgAABAgQIECBAgAABAgQIECBAgEAbgd33Jw/enux+INl8cHLQ0cnmQ9rcuRRtBIRLsYwm0ScgIPQ6EJitgIBwtv6eToAAAQIECBAgQIAAAQIECBAgQIDAegJ79yb33JTcdkGy69Jkz0OPtNx0QHLUuckx5ydbtiX7LXfcICD0NVk2geX+xi7bapnPMgoICJdxVc2JAAECBAgQIECAAAECBAgQIECAwKILVKXgDecld1w+fCZHnpmcfPGnKguX9BIQLunCrvC0BIQrvPimPhcCAsK5WAaDIECAAAECBAgQIECAAAECBAgQIEDg3wUqHLz61OTeW9qjHHZ8cto1SxsSCgjbvwpaLoaAgHAx1skol1dAQLi8a2tmBAgQIECAAAECBAgQIECAAAECBBZPoLYVve6sdpWDg7OrSsJTLlvK7UYFhIv3KhvxxgICQm8IgdkKCAhn6+/pBAgQIECAAAECBAgQIECAAAECBAj0C9y9I7nyxPFNztiRHL5t/Pvn9E4B4ZwujGGNLSAgHJvOjQQ6ERAQdsKoEwIECBAgQIAAAQIECBAgQIAAAQIEOhG4cXuy86Lxu9q6PTnpwvHvn9M7BYRzujCGNbaAgHBsOjcS6ERAQNgJo04IECBAgAABAgQIECBAgAABAgQIEJhYYPf9yduOSPY8NH5Xmw5Izrkr2XzI+H3M4Z0CwjlcFEOaSEBAOBGfmwlMLCAgnJhQBwQIECBAgAABAgQIECBAgAABAgQIdCJw363JFcdN3tXzbk0OPXbyfuaoBwHhHC2GoXQiICDshFEnBMYWEBCOTedGAgQIECBAgAABAgQIECBAgAABAgQ6Fbjr+uSqUybv8vTrkyOeMXk/c9SDgHCOFsNQOhEQEHbCqBMCYwsICMemcyMBAgQIECBAgAABAgQIECBAgAABAp0KqCBcl1NA2OmbprM5EBAQzsEiGMJKCwgIV3r5TZ4AAQIECBAgQIAAAQIECBAgQIDAHAl0cQbh/gcmZ9/pDMI5WlZDIbCWgIDQe0FgtgICwtn6ezoBAgQIECBAgAABAgQIECBAgAABAv0CN25Pdl40vsnW7clJF45//5zeqYJwThfGsMYWEBCOTedGAp0ICAg7YdQJAQIECBAgQIAAAQIECBAgQIAAAQKdCNy9I7nyxPG7OmNHcvi28e+f0zsFhHO6MIY1toCAcGw6NxLoREBA2AmjTggQIECAAAECBAgQIECAAAECBAgQ6ERg797kurOSOy4fvbsjz0xOuSzZb/miBwHh6K+DO+ZbYPm+pfPtbXQEBgUEhN4JAgQIECBAgAABAgQIECBAgAABAgTmS2D3A8nVpyb33tJ+XIcdn5x2TbL54Pb3LFBLAeECLZahthIQELZi0ojA1AQEhFOj1TEBAgQIECBAgAABAgQIECBAgAABAmMLVEh4w3ntKgmrcvDki5c2HCxDAeHYb5Ib51RAQDinC2NYKyMgIFyZpTZRAgQIECBAgAABAgQIECBAgAABAgsmUNuN3nNzctsFya5Lkj0PPTKB/Q9Mjjo3edL5yZYTlnJb0f7VEhAu2LtruEMFBIRDiTQgMFUBAeFUeXVOgAABAgQIECBAgAABAgQIECBAgEAnArvvTx7cmVRlYW0jetDWZPMhnXS9CJ0ICBdhlYxxFAEB4Sha2hLoXkBA2L2pHgkQIECAAAECBAgQIECAAAECBAgQINCpgICwU06dzYGAgHAOFsEQVlpAQLjSy2/yBAgQIECAAAECBAgQIECAAAECBAgsgoCAcBFWyRhHERAQjqKlLYHuBQSE3ZvqkQABAgQIECBAgAABAgQIECBAgAABAp0KCAg75dTZHAgICOdgEQxhpQUEhCu9/CZPgAABAgQIECBAgAABAgQIECBAoGOBh88KvL3vrMCjV+qswI41/707AeG0ZPU7KwEB4azkPZfApwQEhN4EAgQIECBAgAABAgQIECBAgAABAgQmE9i7N7nnpuS2C5JdlyZ7Hnqkv00HJEedmxxzfrJlW7KfWGAcbAHhOGrumWcBvxPM8+oY2yoICAhXYZXNkQABAgQIECBAgAABAgQIECBAgMC0BHY/kNxwXnLH5cOfcOSZyckXJ5sPHt5Wi08TEBB6IZZNQEC4bCtqPosmICBctBUzXgIECBAgQIAAAQIECBAgQIAAAQLzIlDh4NWnJvfe0n5Ehx2fnHaNkLC92MMtBYQjgmk+9wICwrlfIgNccgEB4ZIvsOkRIECAAAECBAgQIECAAAECBAgQmIpAbSt63VntKgcHB1CVhKdcZrvRERZGQDgClqYLISAgXIhlMsglFhAQLvHimhoBAgQIECBAgAABAgQIECBAgACBqQncvSO58sTxuz9jR3L4tvHvX7E7BYQrtuArMF0B4QossinOtYCAcK6Xx+AIECBAgAABAgQIECBAgAABAgQIzKnAjduTnReNP7it25OTLhz//hW7U0C4Ygu+AtMVEK7AIpviXAsICOd6eQyOAAECBAgQIECAAAECBAgQIECAwBwK7L4/edsRyZ6Hxh/cpgOSc+5KNh8yfh8rdKeAcIUWe0WmKiBckYVeomkenOT7k5yTZGuSTyZ5X5JLkrw2yScmnOvnJfmuJM9v+n90kruS/G2SdyT5pSS7J3xG/+0Cwg4xdUWAAAECBAgQIECAAAECBAgQIEBgJQTuuzW54rjJp/q8W5NDj528nxXoQUC4Aou8YlMUEK7Ygi/4dI9qQronNPP4eJL9kxzQ/PrdSU5Lct+Y83xRkl9N0vtPZips/Nckj+3r79AkHxuz/7VuExB2iKkrAgQIECBAgAABAgQIECBAgAABAishcNf1yVWnTD7V069PjnjG5P2sQA8CwhVY5BWbooBwxRZ8gadbQWAFgE9N8k9JXprkqiSbkrwgyRuTVHXhFU3136hTrT6qCrH6uzTJzyW5tenkoCRPS3J2kh9P8i+jdr5BewFhh5i6IkCAAAECBAgQIECAAAECBAgQILASAioI9/kyCwj3ObkHTllAQDhlYN13JvCyJG9qejs5yY0DPb84yVuan52e5OoRnvz4JH+dpKoDX5Pk+0a4d9KmAsJJBd1PgAABAgQIECBAgAABAgQIECBAYNUEujiDcP8Dk7PvdAZhy3dHQNgSSrOFERAQLsxSrfxAr0vyzCTXJjl1DY16lz/QnBt4UZLtI4j99yQ/lOQfkzyxg3MMR3h0BISjaGlLgAABAgQIECBAgAABAgQIECBAgMCnBG7cnuysPwod89q6PTnpwjFvXr3bBISrt+bLPmMB4bKv8HLM7zFJHmi2/3xlklevM60Lkpyf5CNJqiqw7XVHks9vthX94bY3ddROQNgRpG4IECBAgAABAgQIECBAgAABAgQIrJTA3TuSK08cf8pn7EgO3zb+/St2p4BwxRZ8BaYrIFyBRV6CKT49yS3NPJ7fnDO41rRenuT1zQdbktzbYu5bk9zetHtekjubasJnNVuO3pXkz5L8jzW2NW3R/dAmAsKhRBoQIECAAAECBAgQIECAAAECBAgQIPAZAnv3Jtedldxx+eg4R56ZnHJZsp+IoC2egLCtlHaLIuDbvygrtdrjPDPJ2xuCY5O8Zx2Os5L8XvPZU5O8twXbVyf5o6bdTyT5sSSbk/xbkoeSPLb5rIK8H01S25F2eQkIu9TUFwECBAgQIECAAAECBAgQIECAAIFVEtj9QHL1qcm9vfqKFpM/7PjktGuSzQe3aKxJT0BA6F1YNgEB4bKt6HLO5yVJLm6mdkyS968zzecmubL57OSWFX/nJnlrc8+eJB9O8m1J/iRJ/frJSV6X5LSmzTf2hZBttB8OAIdde+u/9nERIECAAAECBAgQIECAAAECBAgQIEBgVIEKCW84r10lYVUOnnyxcHBU41Sx5b/HKXKVMfzcMn8CXuT5WxMj+kyBaQaE/X3Xk09K8ucDQ/jsJO9rzin8yyRPG2GRWiV/AsIRRDUlQIAAAQIECBAgQIAAAQIECBAgQODTBaoA4Z6bk9suSHZdkuypzdGaa/8Dk6POTZ50frLlBNuKjvnuCAjHhHPb3AoICOd2aQysT2CaW4z29/2nSZ65jnxtL/ozzWef15xV2MUi2WK0C0V9ECBAgAABAgQIECBAgAABAgQIECDwKYHd9ycP7kyqsrC2ET1oa7L5EDoTCggIJwR0+9wJCAjnbkkMaA2BpyfpbaL9/CRXrKP08iSvbz7bkuTeFppfkeQvmnZvTPId69xzdpK3NZ99ZZKbWvTdpomAsI2SNgQIECBAgAABAgQIECBAgAABAgQIEJihgIBwhvgePRUBAeFUWHXascBjkjyQZFOSVyZ59Tr9X5Dk/CQfSfL4lmM4MMmDSfZP8qtJvnOd+85J8jvNZ9uS3Nyy/2HNBITDhHxOgAABAgQIECBAgAABAgQIECBAgACBGQsICGe8AB7fuYCAsHNSHU5J4Lpm+89rkpy2xjPqXX5/kqOTXJRk+wjjqD6fk2SjLUZ/LMlPJ6lA73OTfHSE/jdqKiDsCFI3BAgQIECAAAECBAgQIECAAAECBAgQmJaAgHBasvqdlYCAcFbynjuqwMuSvKkJ6E5KsmOggxcmubT52elJrh7hAd/ShIp1y8lJbhy4tyoYb0vy+Un+PEk9v6tLQNiVpH4IECBAgAABAgQIECBAgAABAgQIECAwJQEB4ZRgdTszAQHhzOg9eESBRyV5V5KnJrmjqRCsELC2Ha3tPys8rJN263zCOqew/3pVkp9ofrA1yQcHPq8+KhSsrUP/Icm3J/mTJHuSPDnJ65qqxfr1c5NUxWFXl4CwK0n9ECBAgAABAgQIECBAgAABAgQIECBAYEoCAsIpwep2ZgICwpnRe/AYAk9Icm2S+t+6Pt4EhHWOYF3vboK8+wb6HhYQVvPPa6oOn9Lc+69JPpHksc2vdyf5riRvHGPcG90iIOwYVHcECBAgQIAAAQIECBAgQIAAAQIECBDoWkBA2LWo/mYtICCc9Qp4/qgCByd5RZKzk1Q1YFX1vS/JW5O8tgn1BvtsExDWPQck+S9JXpTki5M8OsmHm4rB1yR576iDbdFeQNgCSRMCBAgQIECAAAECBAgQIECAAAECBAjMUkBAOEt9z56GgIBwGqr6JNBeQEDY3kpLAgQIECBAgAABAgQIECBAgAABAgQIzERAQDgTdg+dooCAcIq4uibQQkBA2AJJEwIECBAgQIAAAQIECBAgQIAAAQIECMxSQEA4S33PnoaAgHAaqvok0F5AQNjeSksCBAgQIECAAAECBAgQIECAAAECBAjMREBAOBN2D52igIBwiri6JtBCQEDYAkkTAgQIECBAgAABAgQIECBAgAABAgQIzFJAQDhLfc+ehoCAcBqq+iTQXkBA2N5KSwIECBAgQIAAAQIECBAgQIAAAQIECMxEQEA4E3YPnaKAgHCKuLom0EJAQNgCSRMCBAgQIECAAAECBAgQIECAAAECBAjMUkBAOEt9z56GgIBwGqr6JNBeQEDY3kpLAgQIECBAgAABAgQIECBAgAABAgQIzERAQDgTdg+dooCAcIq4uibQQkBA2AJJEwIECBAgQIAAAQIECBAgQIAAAQIECMxSQEA4S33PnoaAgHAaqvok0F5AQNjeSksCBAgQIECAAAECBAgQIECAAAECBAjMREBAOBN2D52igIBwiri6JtBCQEDYAkkTAgQIECBAgAABAgQIECBAgAABAgQIzFJAQDhLfc+ehoCAcBqq+iTQXkBA2N5KSwIECBAgQIAAAQIECBAgQIAAAQLzIbD7/uTB25PdDySbD04OOjrZfMh8jM0opiIgIJwKq05nKCAgnCG+RxNIIiD0GhAgQIAAAQIECBAgQIAAAQIECBBYBIG9e5N7bkpuuyDZdWmy56FHRr3pgOSoc5Njzk+2bEv280fvi7Cko4xRQDiKlraLIOB3qUVYJWNcZgEB4TKvrrkRIECAAAECBAgQIECAAAECBAgsh0BVCt5wXnLH5cPnc+SZyckXf6qy0LU0AgLCpVlKE2kEBIReBQKzFRAQztbf0wkQIECAAAECBAgQIECAAAECBAhsLFDh4NWnJvfe0l7qsOOT064RErYXm/uWAsK5XyIDHFFAQDgimOYEOhYQEHYMqjsCBAgQIECAAAECBAgQIECAAAECnQnUtqLXndWucnDwoVVJeMplthvtbDFm25GAcLb+nt69gICwe1M9EhhFQEA4ipa2BAgQIECAAAECBAgQIECAAAECBPalwN07kitPHP+JZ+xIDt82/v3unBsBAeHcLIWBdCQgIOwIUjcExhQQEI4J5zYCBAgQIECAAAECBAgQIECAAAECUxe4cXuy86LxH7N1e3LShePf7865ERAQzs1SGEhHAgLCjiB1Q2BMAQHhmHBuI0CAAAECBAgQIECAAAECBAgQIDBVgd33J287Itnz0PiP2XRAcs5dyeZDxu/DnXMhICCci2UwiA4FBIQdYuqKwBgCAsIx0NxCgAABAgQIECBAgAABAgQIECBAYOoC992aXHHc5I953q3JocdO3o8eZiogIJwpv4dPQUBAOAVUXRIYQUBAOAKWpgQIECBAgAABAgQIECBAgAABAgT2mcBd1ydXnTL5406/PjniGZP3o4eZCggIZ8rv4VMQEBBOAVWXBEYQEBCOgKUpAQIECBAgQIAAAQIECBAgQIAAgX0moIJwn1EvwoMEhIuwSsY4ioCAcBQtbQl0LyAg7N5UjwQIECBAgAABAgQIECBAgAABAgQmF+jiDML9D0zOvtMZhJOvxsx7EBDOfAkMoGMBAWHHoLojMKKAgHBEMM0JECBAgAABAgQIECBAgAABAgQI7DOBG7cnOy8a/3FbtycnXTj+/e6cGwEB4dwshYF0JCAg7AhSNwTGFBAQjgnnNgIECBAgQIAAAQIECBAgQIAAAQJTF7h7R3LlieM/5owdyeHbxr/fnXMjICCcm6UwkI4EBIQdQeqGwJgCAsIx4dxGgAABAgQIECBAgAABAgQIECBAYOoCe/cm152V3HH56I868szklMuS/fwx/Oh483eHgHD+1sSIJhPwO9Nkfu4mMKmAgHBSQfcTIECAAAECBAgQIECAAAECBAgQmKbA7geSq09N7r2l/VMOOz457Zpk88Ht79FyrgUEhHO9PAY3hoCAcAw0txDoUEBA2CGmrggQIECAAAECBAgQIECAAAECBAhMRaBCwhvOa1dJWJWDJ18sHJzKQsyuUwHh7Ow9eToCAsLpuOqVQFsBAWFbKe0IECBAgAABAgQIECBAgAABAgQIzFKgthu95+bktguSXZckex56ZDT7H5gcdW7ypPOTLSfYVnSW6zSlZwsIpwSr25kJCAhnRu/BBB4WEBB6EQgQIECAAAECBAgQIECAAAECBAgsmsDu+5MHdyZVWVjbiB60Ndl8yKLNwnhHEBAQjoCl6UIICAgXYpkMcokFBIRLvLimRoAAAQIECBAgQIAAAQIECBAgQIDAcggICJdjHc3iEQEBobeBwGwFBISz9fd0AgQIECBAgAABAgQIECBAgAABAgQIDBUQEA4l0mDBBASEC7Zghrt0AgLCpVtSEyJAgAABAgQIECBAgAABAgQIECBAYNkEBITLtqLmIyD0DhCYrYCAcLb+nk6AAAECBAgQIECAAAECBAgQIECAAIGhAgLCoUQaLJiAgHDBFsxwl05AQLh0S2pCBAgQIECAAAECBAgQIECAAAECBAgsm4CAcNlW1HwEhN4BArMVEBDO1t/TCRAgQIAAAQIECBAgQIAAAQIECBAgMFRAQDiUSIMFExAQLtiCGe7SCQgIl25JTYgAAQIECBAgQIAAAQIECBAgQIAAgWUTEBAu24qaj4DQO0BgtgICwtn6ezoBAgQIECBAgAABAgQIECBAgAABAgSGCggIhxJpsGACAsIFWzDDXToBAeHSLakJESBAgAABAgQIECBAgAABAgQIECCwbAICwmVbUfMREHoHCMxWQEA4W39PJ0CAAAECBAgQIECAAAECBAgQIECAwFABAeFQIg0WTEBAuGALZrhLJyAgXLolNSECBAgQIECAAAECBAgQIECAAAECBJZNQEC4bCtqPgJC7wCB2QoICGfr7+kECBAgQIAAAQIECBAgQIAAAQIECBAYKiAgHEqkwYIJCAgXbMEMd+kEBIRLt6QmRIAAAQIECBAgQIAAAQIECBAgQIDAsgkICJdtRc1HQOgdIDBbAQHhbP09nQABAgQIECBAgAABAgQIECBAgAABAkMFBIRDiTRYMAEB4YItmOHm4CTfn+ScJFuTfDLJ+5JckuS1ST7RodEbknxn09+uJE/osO9eVwLCKaDqkgABAgQIECBAgAABAgQIECBAgAABAl0KCAi71NTXPAgICOdhFYyhrcBRSd7RF9R9PMn+SQ5oOnh3ktOS3Ne2ww3aPTvJNUl63xEBYQeouiBAgAABAgQIECBAgAABAgQIECBAgMAiCggIF3HVjHkjAQGh92NRBCoIrADwqUn+KclLk1yVZFOSFyR5Y/JwdeEVSZ4/4aQek+Q9Sb4oyV8mOT6JgHBCVLcTIECAAAECBAgQIECAAAECBAgQIEBgUQUEhIu6csa9noCA0LuxKAIvS/KmZrAnJ7lxYOAvTvKW5menJ7l6gom9Jsn3JPnZJF+QZLuAcAJNtxIgQIAAAQIECBAgQIAAAQIECBAgQGDBBQSEC76Ahv8ZAgJCL8WiCFyX5JlJrk1y6hqDrnf5A825hBc1od44czsxyZ8leX+SY5PUOYQCwnEk3UOAAAECBAgQIECAAAECBAgQIECAAIElERAQLslCmsa/CwgIvQyLIFBbfj7QbCf6yiSvXmfQFyQ5P8lHkjx+jInVWYa1jemTmxCyzju8UEA4hqRbCBAgQIAAAQIECBAgQIAAAQIECBAgsEQCAsIlWkxTeVhAQOhFWASBpye5pRlonS9Y5wyudb08yeubD7YkuXfEydWWoj/SbGX67c29AsIRETUnQIAAAQIECBAgQIAAAQIECBAgQIDAsgkICJdtRc1HQOgdWASBM5O8vRlobfv5nnUGfVaS32s+e2qS944wueOS3JTkniRfmuQ+AeEIepoSIECAAAECBAgQIECAAAECBAgQIEBgiQUEhEu8uCs6NQHhii78gk37JUkubsZ8THM+4FpTeG6SK5sPTk5yY8t5PirJzUmeluRFSX6r775JKwj3thnD3r2tmrXpShsCBAgQIECAAAECBAgQIECAAAECBAgQ6FhAQNgxqO5mLiAgnPkSGEALgWkHhD+W5KeT/H6SqlbsvwSELRZIEwIECBAgQIAAAQIECBAgQIAAAQIECCyzgIBwmVd3NecmIFzNdV+0WU9zi9GnJHl3kk8kqb//h44DwmHWD5cOqiAcxuRzAgQIECBAgAABAgQIECBAgAABAgQIzE5AQDg7e0+ejoCAcDqueu1W4OlJbmm6fH6SK9bp/uVJXt98tiXJvS2GcW2SZyf54SSvW6P9G5Kcl+RDSb6s+fyhJLtb9N2miYCwjZI2BAgQIECAAAECBAgQIECAAAECBAgQmKGAgHCG+B49FQEB4VRYddqxwGOSPJBkU5JXJnn1Ov1fkOT8JB9J8viWY/hgkqNatu01+94kvzziPes1FxB2BKkbAgQIECBAgAABAgQIECBAgAABAgQITEtAQDgtWf3OSkBAOCt5zx1V4Lokz0xyTZLT1ri53uX3Jzk6yUVJtrd8gICwJZRmBAgQIECAAAECBAgQIECAAAECBAgQWFUBAeGqrvzyzltAuLxruzr4NEUAACAASURBVGwze1mSN9VxfUlOSrJjYIIvTHJp87PTk1zdEcCFTdi4K8kTOuqzvxsVhFNA1SUBAgQIECBAgAABAgQIECBAgAABAgS6FBAQdqmpr3kQEBDOwyoYQxuBRyV5V5KnJrmjCe0qBKxtR89pwsNDmvMJ65zC/utVSX6i+cHWJFU12PYSELaV0o4AAQIECBAgQIAAAQIECBAgQIAAAQJLKiAgXNKFXeFpCQhXePEXcOpVwXdtXyXfx5uA8MBmLu9uth+9b2BuAsIFXGxDJkCAAAECBAgQIECAAAECBAgQIECAwLwICAjnZSWMoysBAWFXkvrZVwIHJ3lFkrOTVDXgniTvS/LWJK9N8ok1BiIg3Fer4zkECBAgQIAAAQIECBAgQIAAAQIECBBYQgEB4RIu6opPSUC44i+A6c9cwBmEM18CAyBAgAABAgQIECBAgAABAgQIECBAgMDGAgJCb8iyCQgIl21FzWfRBASEi7ZixkuAAAECBAgQIECAAAECBAgQWDWB3fcnD96e7H4g2XxwctDRyeZDVk3BfFdcQEC44i/AEk5fQLiEi2pKCyUgIFyo5TJYAgQIECBAgAABAgQIECBAgMCKCOzdm9xzU3LbBcmuS5M9Dz0y8U0HJEedmxxzfrJlW7KfP2ZekbdipacpIFzp5V/KyfudeymX1aQWSEBAuECLZagECBAgQIAAAQIECBAgQIAAgZUQqErBG85L7rh8+HSPPDM5+eJPVRa6CCyxgIBwiRd3RacmIFzRhTftuREQEM7NUhgIAQIECBAgQIAAAQIECBAgQIDAw9uIXn1qcu8t7TEOOz457RohYXsxLRdQQEC4gItmyBsKCAi9IARmKyAgnK2/pxMgQIAAAQIECBAgQIAAAQIECPQEalvR685qVzk4qFaVhKdcZrtRb9PSCggIl3ZpV3ZiAsKVXXoTnxMBAeGcLIRhECBAgAABAgQIECBAgAABAgRWXuDuHcmVJ47PcMaO5PBt49/vTgJzLCAgnOPFMbSxBASEY7G5iUBnAgLCzih1RIAAAQIECBAgQIAAAQIECBAgMJHAjduTnReN38XW7clJF45/vzsJzLGAgHCOF8fQxhIQEI7F5iYCnQkICDuj1BEBAgQIECBAgAABAgQIECBAgMDYArvvT952RLLnobG7yKYDknPuSjYfMn4f7iQwpwICwjldGMMaW0BAODadGwl0IiAg7IRRJwQIECBAgAABAgQIECBAgAABAhMJ3HdrcsVxE3Xx8M3PuzU59NjJ+9EDgTkTEBDO2YIYzsQCAsKJCXVAYCIBAeFEfG4mQIAAAQIECBAgQIAAAQIECBBoJVAVgg/enux+INl8cHLQ0Z9e6XfX9clVp7TqasNGp1+fHPGMyfvRA4E5ExAQztmCGM7EAgLCiQl1QGAiAQHhRHxuJkCAAAECBAgQIECAAAECBAgQWFdg797knpuS2y5Idl366duH1nagR52bHHN+smVb8rG/VEHoVSKwgYCA0OuxbAICwmVbUfNZNAEB4aKtmPESIECAAAECBAgQIECAAAECBBZBoCoFbzgvuePy4aM98szkhF9J3v7Eyc4g3P/A5Ow7nUE4XFyLBRQQEC7gohnyhgICQi8IgdkKCAhn6+/pBAgQIECAAAECBAgQIECAAIHlE/j4Hcm1ZyT//Dft53bY8cnBxyS73tr+nsGWW7cnJ104/v3uJDDHAgLCOV4cQxtLQEA4FpubCHQmICDsjFJHBAgQIECAAAECBAgQIECAAIEVFuhtJ/q+1ycfvDjJntExHveM5KN/Ovp9vTvO2JEcvm38+91JYI4FBIRzvDiGNpaAgHAsNjcR6ExAQNgZpY4IECBAgAABAgQIECBAgAABAisqMMp2osOIHvfM5KPXD2v1mZ/XNqWnXJbs54+cR8dzxyIICAgXYZWMcRQBv1uPoqUtge4FBITdm+qRAAECBAgQIECAAAECBAgQILA6AhUOXn1qcu8t3cz5qJckD7xvtP5qe9LTrkk2H9zNGPRCYA4FBIRzuCiGNJGAgHAiPjcTmFhAQDgxoQ4IECBAgAABAgQIECBAgAABAisqUNuKXndWcsfl3QFsOiD5+g8kN5/frt+qHDz5YuFgdyugpzkVEBDO6cIY1tgCAsKx6dxIoBMBAWEnjDohQIAAAQIECBAgQIAAAQIECKygwN07kitP7H7iz7s1+ZwvT+65ObntgmTXJcmehx55zv4HJkedmzzp/GTLCbYV7X4F9DiHAgLCOVwUQ5pIQEA4EZ+bCUwsICCcmFAHBAgQIECAAAECBAgQIECAAIEVFbhxe7Lzou4nf/r1yRHPeKTf3fcnD+5MajvT2kb0oK3J5kO6f64eCcyxgIBwjhfH0MYSEBCOxeYmAp0JCAg7o9QRAQIECBAgQIAAAQIECBAgQGCFBCq0e9sRn17Z19X0q4Lw0GO76k0/BJZCQEC4FMtoEn0CAkKvA4HZCggIZ+vv6QQIECBAgAABAgQIECBAgACBxRS479bkiuO6H3ttH3r2nSoEu5fV44ILCAgXfAEN/zMEBIReCgKzFRAQztbf0wkQIECAAAECBAgQIECAAAECiylw1/XJVad0P/at25OTLuy+Xz0SWHABAeGCL6DhCwi9AwTmTEBAOGcLYjgECBAgQIAAAQIECBAgQIAAgYUQmFYF4Rk7ksO3LQSBQRLYlwICwn2p7Vn7QkAF4b5Q9gwC6wsICL0dBAgQIECAAAECBAgQIECAAAECowtM4wzCI89MTrks2c8fG4++IO5YdgEB4bKv8OrNz+/0q7fmZjxfAgLC+VoPoyFAgAABAgQIECBAgAABAgQILI7AjduTnRd1M97Djk9OuybZfHA3/emFwJIJCAiXbEFNJwJCLwGB2QoICGfr7+kECBAgQIAAAQIECBAgQIAAgcUVuHtHcuWJk4+/KgdPvlg4OLmkHpZYQEC4xIu7olMTEK7owpv23AgICOdmKQyEAAECBAgQIECAAAECBAgQILCPBGp70AdvT3Y/8KlQ7qCjk82HjP7wvXuT685K7rh89HuzKdn60uSY85MtJ9hWdAxBt6yWgIBwtdZ7FWYrIFyFVTbHeRYQEM7z6hgbAQIECBAgQIAAAQIECBAgQKArgQrz7rkpue2CZNelyZ6HHul50wHJUec2Yd220cK6ChmvPjW595b2Iz3kKcmpVyaPObL9PVoSWHEBAeGKvwBLOH0B4RIuqiktlICAcKGWy2AJECBAgAABAgQIECBAgAABAmMIVIh3w3ntKv3G2e5z2v2PMWW3EFg2AQHhsq2o+QgIvQMEZisgIJytv6cTIECAAAECBAgQIECAAAECBKYrME6F32HHJ6ddM9qZgA9XKN7cVChe8ukVivsf+KkKxSfZTnS6i633ZRYQEC7z6q7m3ASEq7nuZj0/AgLC+VkLIyFAgAABAgQIECBAgAABAgQIdCswyRmBVUl4ymWjbTfaG/3DZxzu7DvjcOt4Zxx2q6E3AgstICBc6OUz+DUEBIReCwKzFRAQztbf0wkQIECAAAECBAgQIECAAAEC0xO4e0dy5Ynj93/GjuTwbePf704CBDoTEBB2RqmjOREQEM7JQkxxGIcneU6So5I8JslPTfFZuh5dQEA4upk7CBAgQIAAAQIECBAgQIAAAQKLIXDj9mTnReOPdev25KQLx7/fnQQIdCYgIOyMUkdzIiAgnJOFmMIwHpXk55O8PMln9fW/f9/fH5rkA01wuDXJP01hHLrcWEBA6A0hQIAAAQIECBAgQIAAAQIECCyjQG3z+bYjPv0swFHnuemA5Jy7bA86qpv2BKYgICCcAqouZyogIJwp/1Qf/rtJvr55wl8n+ZIkFRr2B4T18euaELGCxDdMdUQ6X0tAQOi9IECAAAECBAgQIECAAAECBAgso8B9tyZXHDf5zJ53a3LosZP3owcCBCYSEBBOxOfmORQQEM7honQwpBcleWuSO5M8P8m7m+rAI9YICJ+V5Nokf5jk6zp4ti5GExAQjualNQECBAgQIECAAAECBAgQIEBgMQTuuj656pTJx3r69ckRz5i8Hz0QIDCRgIBwIj43z6GAgHAOF6WDIf1Rkucm2Z7kzU1/tX3oWgHho5M8mOQfm3MKO3i8LkYQEBCOgKUpAQIECBAgQIAAAQIECBAgQGBhBFQQLsxSGSiBNgICwjZK2iySgIBwkVar/VjvSrIlyUFJ/nVIQFgf35vkwOYswvZP0bILAQFhF4r6IECAAAECBAgQIECAAAECBAh0LVBnCD54e7L7gWTzwclBR492FmAXZxDuf2By9p2jPbdrB/0RIPCwgIDQi7BsAgLCZVvRT83noST/kuSwvumtV0FYTT6W5LMEhDN5GQSEM2H3UAIECBAgQIAAAQIECBAgQIDAGgJ79yb33JTcdkGy69JkT/0xW3NtOiA56tzkmPOTLdsqLRhOeOP2ZOdFw9ut12Lr9uSkC8e/350ECHQmICDsjFJHcyLQ4v/F5mSkhjGKwEeSPC7JZyf5t+bG9QLCL0jyoeavJ4zyEG07ERAQdsKoEwIECBAgQIAAAQIECBAgQIDAhAJVKXjDeckdlw/v6Mgzk5Mv/lRl4UbX3TuSK08c3t96Lc7YkRy+bfz73UmAQGcCAsLOKHU0JwICwjlZiI6H8cdJTk/y/CT193WtFxD+dJIfTfLbSV7U8Th0N1xAQDjcSAsCBAgQIECAAAECBAgQIECAwHQFKhy8+tTk3lvaP+ew45PTrtk4JKyKxOvOahc6Dj65QshTLmtXqdh+1FoSIDCmgIBwTDi3za2AgHBul2aigf3HJL+WpP6J5tlJPr5OQPjCJG9Osn+Ss5L8/kRPdfM4AgLCcdTcQ4AAAQIECBAgQIAAAQIECBDoSmDaId60wseu5q8fAgRaCQgIWzFptEACAsIFWqwRhropyQ1JTkjy3iS/kuRnkhya5CuTfHmSc5OcVmerJrk6yXNH6H+WTWvfhu9Pck6SrUk+meR9SS5J8toknxhjcEc2AelzkhyXpH5dV23V+udJ3pjkmjH6bXOLgLCNkjYECBAgQIAAAQIECBAgQIAAgWkJ7IttQKexfem0PPRLgMCaAgJCL8ayCQgIl21FH5nPEU1F4PFJHg6h1rhq/Xck+dok9y4AxVFJ3pGkd1ZiVUZW9eMBzdjf3YSe940wly9MsqsJSnu3Vb9l8+i+fqoi8zuaQHKE7oc2FRAOJdKAAAECBAgQIECAAAECBAgQIDBFgRu3JzsvGv8BW7cnJ104/P6qVLzn5uS2C5JdlyR7Hnrknv0PTI46N3nS+cmWE2wrOlxTCwL7XEBAuM/JPXDKAgLCKQPPuPvNTaj1bUmemqQqC3vX3yT51SRvGLPqbl9PrYLACgBrHnWe4kuTXNXM6QVNlV9VF17RnL3YdnwVNu5sqijrnwSrzw83/T45yX9rqgurv6rC/PG2HbdsJyBsCaUZAQIECBAgQIAAAQIECBAgQKBzgd33J2874tPDulEfsumA5Jy7ks2HtL+znvvgzqQqCzcfnBy0dbT72z9JSwIEOhIQEHYEqZu5ERAQzs1STH0gByX5vKbi7s4kH5v6E7t9wMuSvKnp8uQkNw50/+Ikb2l+dnoT+LUZwWOTPDHJu9ZpXN+RP0zyNUkeTPK4JP/WpuOWbQSELaE0I0CAAAECBAgQIECAAAECBAh0LnDfrckVdeLMhNfzbk0OPXbCTtxOgMA8CwgI53l1jG0cAQHhOGrumYXAdUmemeTaJKeuMYB6lz/QnEtYlYDbOxxkVSj+VtPfVzSVjF11LyDsSlI/BAgQIECAAAECBAgQIECAAIFRBe66PrnqlFHv+sz2p1+fHPGMyfvRAwECcysgIJzbpTGwMQUEhGPCuW2fCjwmyQPNtp+vTPLqdZ5+QZLzk3wkyeM7HOGZSd7e9HdCkls67FtA2CGmrggQIECAAAECBAgQIECAAAECIwmoIByJS2MCqywgIFzl1V/OuQsIl3Ndl21WT+8L5Z7fnDO41hxfnuT1zQdbktzbEcQvJfm+5qzG2mL0/o76rW4EhB1i6ooAAQIECBAgQIAAAQIECBAgMJJAF2cQ7n9gcvadzhAcCV5jAosnICBcvDUz4o0FBISL/4Z8sqMpVFD1qI766rqb/gq+2sz9Pes84Kwkv9d89tQk7+1gIFubfqqK8TeTvLSDPvu7EBB2DKo7AgQIECBAgAABAgQIECBAgMBIAjduT3bWiTVjXlu3JyddOObNbiNAYFEEBISLslLG2VZAQNhWan7b7eloaBVU7d9RX11385IkFzedHpPk/es84LlJrmw+OznJjRMO5NFJrk9SFYz3JKlw8o4R+3w4ABx27d3bqtmwbnxOgAABAgQIECBAgAABAgQIECAwqsDdO5IrTxz1rkfan7EjOXzb+Pe7kwCBhRAQEC7EMhnkCAICwhGw5rTpszoc1zs77KvLrmYREFY15W8n+YYku5N8XV/4OMrcWiV/AsJRSLUlQIAAAQIECBAgQIAAAQIECHQoUP/h9nVnJXdcPnqnR56ZnHJZsp8/Zh0dzx0EFktAQLhY62W0wwX8P9dwIy1mL7CvtxitSsqqWHxRkv+T5MVJfmdKDLYYnRKsbgkQIECAAAECBAgQIECAAAECrQV2P5BcfWpy7y2tb8lhxyenXZNsPrj9PVoSILCwAgLChV06A19HQEDo1VgEgdris/dPZ89PcsU6g355ktc3n21Jcu8Yk6tw8M1Jzk1S5zuel+TSMfppe4uAsK2UdgQIECBAgAABAgQIECBAgACBaQpUSHjDee0qCaty8OSLhYPTXA99E5gzAQHhnC2I4UwsICCcmFAH+0DgMUkeSLIpySuTvHqdZ16Q5PwkH0ny+DHG1V85WOHgNye5ZIx+RrlFQDiKlrYECBAgQIAAAQIECBAgQIAAgWkK1Haj99yc3HZBsuuSZM9Djzxt/wOTo85NnnR+suUE24pOcx30TWAOBQSEc7gohjSRgIBwIr65v7nW9+ymGu74JEc0I76rqcir8Ot3k+yZ+5kk1yV5ZpJrkpy2xnhrru9PcnSSi5JsH3FOswgHa4gCwhEXSnMCBAgQIECAAAECBAgQIECAwD4R2H1/8uDOpCoLaxvRg7Ymmw/ZJ4/2EAIE5k9AQDh/a2JEkwkICCfzm+e7vyjJbyU5oRnk4Fo/HEwl+YskL0iya54nk+RlSd7UBGonJdkxMN4X9m0FenqSq0eYT4WDb0lSfdSZg1U5OM1tRfuHJiAcYaE0JUCAAAECBAgQIECAAAECBAgQIECAwCwEBISzUPfMaQoICKepO7u+H5vk1iQVEtYa39BU3t3RDOnIJM9J8lXNrz+Y5Lgk/zy7IQ998qOSvCvJU5PUPKpCsELA2nb0nCY8rP+Eq84nrHMK+69XJfmJ5gdbk9R8e1eFg7+Z5MVNOPiSJL89dDTdNRAQdmepJwIECBAgQIAAAQIECBAgQIAAAQIECExFQEA4FVadzlBAQDhD/Ck++heSvCLJvUletEE1XYWEFYYdmuQXk/zgFMfURddPSHJtkvrfuj7eBIQHNr9+d7P96H0DD9soIDwlyTub9rsbs43G+t0dVxcKCLt4M/RBgAABAgQIECBAgAABAgQIECBAgACBKQoICKeIq+uZCAgIZ8I+9Yfe1pzFV+Hg7wx52jc1W5HenuRJUx/Z5A84uAk/62zFqgas8xPfl+StSV6b5BNrPGKjgPDZTejYdmTfmuTCto1btBMQtkDShAABAgQIECBAgAABAgQIECBAgAABArMUEBDOUt+zpyEgIJyG6uz7/NdmCJ/dBGgbjai22HywafDo2Q995UYgIFy5JTdhAgQIECBAgAABAgQIECBAgAABAgQWTUBAuGgrZrzDBASEw4QW8/MPJ6mwr7YObXPVlpwVKn5+m8badCogIOyUU2cECBAgQIAAAQIECBAgQIAAAQIECBDoXkBA2L2pHmcrICCcrf+0nl7bin5jki9ttt/c6DlfnOTvmq1IXzitAel3XQEBoZeDAAECBAgQIECAAAECBAgQIECAAAECcy4gIJzzBTK8kQUEhCOTLcQNxyf50+avr03y0Dqj/qwkf5jkmUlOSvKuhZjdcg1SQLhc62k2BAgQIECAAAECBAgQIECAAAECBAgsoYCAcAkXdcWnJCBc3hfg65P8RpKPJPmFJNcmuaOZ7pFJnpPkFUken2R7ksuXl2KuZyYgnOvlMTgCBAgQIECAAAECBAgQIECAAAECBAgkAkJvwbIJCAgXf0U/2dEUKqh6VEd96aa9gICwvZWWBAgQIECAAAECBAgQIECAAAECBAgQmImAgHAm7B46RQEB4RRx91HXezp6TgVV+3fUl27aCwgI21tpSYAAAQIECBAgQIAAAQIECBAgQIAAgZkICAhnwu6hUxQQEE4Rdx91/awOn/PODvvSVTsBAWE7J60IECBAgAABAgQIECBAgAABAgQIECAwMwEB4czoPXhKAgLCKcHqlkBLAQFhSyjNCBAgQIAAAQIECBAgQIAAAQIECBAgMCsBAeGs5D13WgICwmnJ6pdAOwEBYTsnrQgQIECAAAECBAgQIECAAAECBAgQIDAzAQHhzOg9eEoCAsIpweqWQEsBAWFLKM0IECBAgAABAgQIECBAgAABAgQIECAwKwEB4azkPXdaAgLCacnuu36/qHnU7iT/1Px972ejjuJDo96g/cQCAsKJCXVAgAABAgQIECBAgAABAgQIECBAgACB6QoICKfrq/d9LyAg3PfmXT/xk02Hf5fky5q/7/1slGdVUPWoUW7QthMBAWEnjDohQIAAAQIECBAgQIAAAQIECBAgQIDA9AQEhNOz1fNsBASEs3Hv8ql7ms4qIHxK8/e9n436nE2j3qD9xAICwokJdUCAAAECBAgQIECAAAECBAgQIECAAIHpCggIp+ur930vICDc9+ZdP/GopsPaYvTDzd/3fjbqs3aNeoP2EwsICCcm1AEBAgQIECBAgAABAgQIEFhCgd33Jw/enux+INl8cHLQ0cnmQ5ZwoqZEgACBxRAQEC7GOhllewEBYXsrLQlMQ0BAOA1VfRIgQIAAAQIECBAgQIAAgUUU2Ls3ueem5LYLkl2XJnseemQWmw5Ijjo3Oeb8ZMu2ZD9/rLeIS2zMBAgsroCAcHHXzsjXFvBPEsv5Zry0mdYfJ7lzOae4NLMSEC7NUpoIAQIECBAgQIAAAQIECBCYQKAqBW84L7nj8uGdHHlmcvLFn6osdBEgQIDAPhEQEO4TZg/5v+zdDbzXZWH38Y/gEUJAEaTUCvFhPc3MRBJmVGAuuzOaVFJusWbborWHu5pbdzV7Wm1zu+u+TepV3maUpZVbzhWOBA1KQimp2cPEJDJ8IIQUUpGE+3XB78zD2Tnn/3v8/67f7//5vV6+lPO/Ht/XD5XzPdd1dVHAgLCL2F3sKtxB+GvgcODhLvZrV9kFDAizm1lDAQUUUEABBRRQQAEFFFBAgXYJhHBwxVzYti79vI6YAfNWGhKmF7OkAgooUEjAgLAQn5UjFDAgjHBRShjS1qSNKSW0ZRPVChgQVutr6woooIACCiiggAIKKKCAAgrELRCOFV01P93OwcEzCTsJ51zrcaNxr7CjU0CBlggYELZkIZ3GfwkYELbzZfgm8AJgErCznVNszawMCFuzlE5EAQUUUEABBRRQQAEFFFBAgRwCW9fC8tNzVEyqnLUWpszMX9+aCiiggAKpBAwIUzFZqEECBoQNWqwMQ30T8EngbcBHM9SzaPcFDAi7b26PCiiggAIKKKCAAgoooIACCsQjsGYRbFyafzzTF8GsK/LXt6YCCiigQCoBA8JUTBZqkIABYYMWK+NQvwjMB/5nEhaGOwl94hMwIIxvTRyRAgoooIACCiiggAIKKKCAAt0R2P0QXDMV9uzK39+oMbBgC/RNzN+GNRVQQAEFOgoYEHYkskDDBAwIG7ZgKYd7ORDWdgFwKLAduBXYAjw+TBshqLogZfsWK0/AgLA8S1tSQAEFFFBAAQUUUEABBRRQoFkC29fDslOKj/ns9TDp5OLt2IICCiigwLACBoS+HG0TMCBs24run88eIARPada3v1z4++h2ckQ9KwPCqJfHwSmggAIKKKCAAgoooIACCihQocCW1XDDnOIdnLkapp5RvB1bUEABBRQwIPQd6BmBNAFSz2C0aKLh4Pl9wVPG540Zy1u8uIABYXFDW1BAAQUUUEABBRRQQAEFFFAgu0A43nPnXbB7B/RNgPHHdf+YTncQZl83ayiggAI1CbiDsCZ4u61MwICwMlobViCVgAFhKiYLKaCAAgoooIACCiiggAIKKFCCwN698MAtsGEJbLr6wLv/wl1+0xbCiYth8kw4qAvfNivjDsLRY+Hc+7sfbpawHDahgAIKNEnAgLBJq+VY0wh04f900gzDMgr0rIABYc8uvRNXQAEFFFBAAQUUUEABBRToqkDYKXjz+bD5us7dHnMOzL5y/87Cqp81i2Dj0vy9TF8Es8JhUj4KKKCAAlUKGBBWqWvbdQgYENahbp8KPCFgQOjboIACCiiggAIKKKCAAgoooEDVAiEcXDEXtq1L39MRM2DeyupDwq1rYfnp6cc1uORZa2HKzPz1ramAAgookErAgDAVk4UaJGBA2KDFcqitFDAgbOWyOikFFFBAAQUUUEABBRRQQIFoBMKxoqvmp9s5OHjQYSfhnGurPW409vFFs5AORAEFFKhXwICwXn97L1/AgLB805hafArwB8AZwFOBQ4Hh1jwEVcfHNPgeGYsBYY8stNNUQAEFFFBAAQUUUEABBRSoSaAJO/Ri3uFY07LZrQIKKBCbgAFhbCvieIoKGBAWFYy3/u8An0kRCva/AyGoGh3vdFo7MgPC1i6tE1NAAQUUUEABBRRQQAEFFIhCoCl3/MV6R2IUi+ggFFBAgfoFDAjrXwNH5SxWjQAAIABJREFUUK6AAWG5nrG09mzgO8AY4KvJX0uAB4G3A2Fn4ZnAi4GtwHuBXyWBYixz6JVxGBD2yko7TwUUUEABBRRQQAEFFFBAge4L7H4IrpkKe3bl73vUGFiwBfom5m8jbc1w3OgDt8KGJbDpqgPHPXosTFsIJyyGyadVe+xp2vFaTgEFFOghAQPCHlrsHpmqAWE7F/pTwAXA54A3JFPcA9wHHD1gymcDXwJ+kBxDurudHFHPyoAw6uVxcAoooIACCiiggAIKKKCAAo0W2L4elp1SfApnr4dJJxdvJ0sLIdzcuRHCzsK+CTB+endCyixjtKwCCijQQwIGhD202D0yVQPCdi70BuA44DeBH40QEIaP/hj4OPBXwMXt5Ih6VgaEUS+Pg1NAAQUUUEABBRRQQAEFFGi0wJbVcMOc4lM4czVMPaN4O7aggAIKKNBYAQPCxi6dAx9GwICwna/Gw8l9guGI0f7nceCXwORBUx6XHD36feDUdnJEPSsDwqiXx8EpoIACCiiggAIKKKCAAgo0WqDJOwgbDe/gFVBAgfYJGBC2b017fUYGhO18A0IQGIKnSQOmF+4fPBQYC/x60LS3AaOAw9vJEfWsDAijXh4Hp4ACCiiggAIKKKCAAgoo0GiBMu4gDHf/nXu/x3s2+kVw8AoooEBxAQPC4oa2EJeAAWFc61HWaH4IPAMYDzySNPq95MjRmcB3BnQUQsQHgEeBsJvQp7sCBoTd9bY3BRRQQAEFFFBAAQUUUECBXhNYswg2Ls0/6+mLYNYV+etbUwEFFFCgFQIGhK1YRicxQMCAsJ2vwzXAq4BwC3c4OjQ8S4A3A1cDrxsw7UuBxUAIEEu4tbudoBXOyoCwQlybVkABBRRQQAEFFFBAAQUUUICta2H56fkhzloLU8LPW/sooIACCvSygAFhL69+O+duQNjOdf0D4DLgA8BFyRSfC3wXCGv+oyQQPAl4TvL5XwCXtJMj6lkZEEa9PA5OAQUUUEABBRRQQAEFFFCg8QJ798Kq+bD5uuxTOeYcmHMtHOS30LLjWUMBBRRol4ABYbvW09nsD4t82idwJPAPwF1JSNg/w7cCHwFGD5ryF4Dz28fQiBkZEDZimRykAgoooIACCiiggAIKKDCEQLjfbuddsHsH9E2A8cd5T12sL0pYoxVzYdu69CM8YgbMW7l/bX0UUEABBXpewICw51+B1gEYELZuSTtO6JnAq4GnAQ8C1wMrO9ayQFUCBoRVydquAgoooIACCiiggAIKKDBYoIxAL+xGe+AW2LAENl0Ne3Y90cuoMTBtIZy4GCbPdNdZbG9gCAlvPj/dTsKwc3D2lYaDsa2h41FAAQVqFDAgrBHfrisRMCCshNVGFUgtYECYmsqCCiiggAIKKKCAAgoooMAQAiH02/592HHH/g8n/gYc/twndvKVGegZMDX/Fdz3PtyaBLxXHRjwjh67P+A9IQS8pxnwNn+1nYECCihQqoABYamcNhaBgAFhBItQwRDGAo9W0K5Nli9gQFi+qS0qoIACCiiggAIKKKBAXoEydtjl6TtrvyHk2boWbn8/3PvvwJ4Dez1oFBz1MnjG2+CO/1POjjGPqMyzsnHX2ffebRxwROx0j4iNe8UcnQIKKFCrgAFhrfx2XoGAAWEFqBE0+Uvgy8BngW9EMJ4yhxAO/n87sACYDjwOhB8TvQq4BHisQGdPBi4EXgE8HXgE+AHwGeD/AfvCvJIfA8KSQW1OAQUUUEABBRRonECnYKTT52VNeHA/Y6bArq3Z7lbLOtas5bPMtYz5ZOkvTdk88+1Up9PnacZV5g67NP31l8nbbwjqvnke3LssS2/pyg5351wY66r56YLGwT2FoyrnXOtutHQrYCkFFFBAAQWiFTAgjHZpHFhOAQPCnHCRVws/OtkfZt2dBIUhLEzOW4l89MMPbxpwE3BsUuRhYDQwJvn1bcA8YHuOGZ4KhB87nZzU3QmEnZgHJ79eDrwSGHC5RI5e/nsVA8JSGG1EAQUUUEABBRSIXGBwiHPodHjoxyPfYXbkC2HLN+BnX6zujrORAprBpMPdrZY15MlaPsvSljGfLP2lKZtnvp3qPP08mDoHtqyCnxW8A6+uIzPz9hvq3fAi2B7++FfRM1SgF3YrLj89f4dnrYUpM/PXt6YCCiiggAIK1C5gQFj7EjiAkgUMCEsGjaS5C4DzgRcBYY37w8Jbk91wVwPbIhlr2mGEIDD8CfAk4F7gDcANwCjgNcCngLC7MPwI6cvTNpqUOwz4MfCU5O+/B6wDDgH+EPgI0Ad8HHhLxrY7FTcg7CTk5woooIACCiigQFMFRgyrwv/GDjoSMc88Q5Ax+0roC/8rnPHJEtAMbrq/3/D1m89Pt6sq1DntE3Drm9OXzzK3MuaTx3Ek9ixjymPaack7vR91HZmZt9+5K/a/b/f8W6eZF/98cKC3ZhFsXJq/3emLYNYV+etbUwEFFFBAAQVqFzAgrH0JHEDJAgaEJYNG1tzTgN9N/npWMrYQSO0GvpbsLAx/sgq/jv0JoedlySBnA2sGDfh1wOeTr50JrMgwoQ8A706OFH0OsHFQ3XcCH0qOM312yTsxDQgzLJRFFVBAAQUUUECBxghkCYaKTmq4IxFHajdPQDO4vUmn7P9Klp1co8fB4+EgkJRP2rmVMZ+0faUcOnnGlMe003hiOzKzyFGdR54Bv/hmpxmX8/nAQC/sAL5m6oE7ebP2EnbgLtji/XZZ3SyvgAIKKKBARAIGhBEthkMpRcCAsBTGRjTy/GTX3UJgajLiEE6F4zjDjsJwBOm3I57JKuCFwI3A3CHGGd7lnyT3EoYf61yUYS6bkjsHPw38wRD1xie7FsPf3w9clKHtTkUNCDsJ+bkCCiiggAIKxCeQ9s6ztOXim2GxEeUJhor1CFnuOCsS0BQdZ576neZW5nw69ZV2/GWOKW2fI5WL6cjMokd1luGRpo2Bgd729bAsCcTT1B2uzNnrYdLJRVqwrgIKKKCAAgrUKGBAWCO+XVciYEBYCWvUjYajOs9KwsJwp96TktGG843679uLbQLjgB3JcaIXAhcPM8AlwGLgPuColJN4RnKsaCj+WuBLw9QLOy7PTkLUWSnbTlPMgDCNkmUUUEABBRRQoD6B/pDvsYfg4U1wzzK4+5+HvxPviNNg260j36134mKYPBMOauEfR+oMhtLecdaUgGbgWz/S3MqeT1rHkX5Xlj2mMv4NEMuRmUWP6izDIm0b/YHeltVww5y0tYYvd+ZqmHpG8XZsQQEFFFBAAQVqETAgrIXdTisUaOGfyCvUal/TJyTHcs5I7ikM4WGMz6nJnYBhbOF+wXDP4FBPuB/w0uSDySnvWVwAfDmpE44P/dEwbf8D8JfAQ0C4s7Csx4CwLEnbUUABBRRQQIEnBIru3Bvx7rwO0GOfDI/e33k1Ot2N1rmFOEvUGQylveOsSQFN/yqPNLey55PWcaQ3sOwxlfG2x3BkZhlHdZZhkbaN/kDPHYRpxSyngAIKKKBAqwUMCFu9vD05OQPC3lv2McB84PeSnYRh12B4D0JQFWtAeA7wr8lShfNYvj/MsoV5fSX57CTg9hTL+6fA/03KheAvBIBDPX8OfDT5YAKwM0XbaYoYEKZRsowCCiiggAIKdBYYKdQLR+VNWwhpdu7FfndeZ4l6S9QZDKW546xpAU3/ag43tyrmk8ZxpLesijGV8VbHcGRmWUFbGR5p2ujfQVjGmo4eC+fe7x2Eadwto4ACCiigQKQCBoSRLozDyi1gQJibrnEVw3koIRR8NTAxCQXDJMJxnJ8Hwr19wwVvdU/29cCVySBOBO4cZkAvBZYnn80G1qQY+P8C/jYp1wf8epg6fwh8Mvns6OROwhTN7wteOz57wzf0fBRQQAEFFFBAgbwCWUK9kXbuxX53Xl6fbtUrI0QoOtZOd5w1LaAZ6DHU3KqaTyfHkdapqjEVfTdC/bqPzCzrqM4yLDq1MTjQKxr+l7EztdOY/VwBBRRQQAEFKhUwIKyU18ZrEDAgrAG9i13+RnLX4PnA05N+w5o/kuy0C6Hg14Fw/2DMjwFhzKvj2BRQQAEFFFCgXoE8od4RM2DeSugLByMkTxPuzqtXunPvMQRDne44a1JAM1h8qLlVNZ9OjiO9DVWNqfMb2LlE3UdmxvB7pLPS/hKDA72ixweXcbdl2rFbTgEFFFBAAQUqETAgrITVRmsUMCCsEb/Crt+a7BYMdwuGp/8I0W8AnwW+VOIRmRVO47+a9ojRbijbhwIKKKCAAgpUK1D0XsChRlck1As7CedcCwclfyQo+s3vInpt2VkTQzDUaedbkwKawe+UOwiL/C7bX7fuIzNj2GWbVnFwoFfmv2/TjsFyCiiggAIKKBCVgAFhVMvhYEoQMCAsATHCJgbuCPzPJBQMweDdEY41zZBOBdYlBV8OLBum0luAS5PPJgPbUjS+APhyUu7ZwI+GqfMPwF8mdxSGuwrLeryDsCxJ21FAAQUUUCBGgbLuBRxubkVDvYHfAC96fF4R/6J3vhXpu8y6dYdvae44a1JAM3BthptbFfNJ4zjSe1PFmMp4T2M5MrPOf9ekdRz8AxT99crasZ12HJZTQAEFFFBAgagEDAijWg4HU4KAAWEJiBE28QvgquRewVsjHF/WIY0DdgCjgAuBi4dpYAmwOLlX8aiUnTwD+HFS9rXJ7sqhqn4t/Lwt8G1gVsq20xQzIEyjZBkFFFBAAQWaKFDWvYAjzb3oN9r7d+7FEGh02vnWhHegbse0OzGLvjd1rMVIcyt7Pmkdq/y9WYVxLEdmFv3Bhim/BVu/VYXQ/jaHOoJ5YG/d+Hd7dbOzZQUUUEABBRQoIGBAWADPqlEKGBBGuSyFB3Uw8OvCrcTVwCrghcBKYN4QQwvv8p3AcUkwuijD8DcldzReDlwwRL1Dk9BxPPB+4KIMbXcqakDYScjPFVBAAQUUaKJAN3aZlBFG9e/c23kXLDulXukid77VO/IDey87rMoyt7R3nBUNaLKMqayyI82t7PmkdRxpbmWPqQzHWI7MLHpU56zPwYoXw/bbylA5sI2wc3D2lQfezzpUL/t2h98KG5bApqtgz64nSoWdmtMWwgmLYfJpTxzjXP5obVEBBRRQQAEFuixgQNhlcLurXMCAsHJiOyhJIAR3lwEhUAs7+NYOajfs/rs6+dqZwIoM/X4AeDfwMPAc4KeD6oZdi38PPA6EY0jvyNB2p6IGhJ2E/FwBBRRQQIGmCRT95vfAewFHmntZx1mGnXshbLxhTr3SbdhBGATrCoaGOxJxqFUt8o7W8ZZ0mluZ8+nUV9r5lzmmtH2OVC62IzOL/hBFqP/N8+De4W6fGITxlJfBcy6Euz5TfqC3737ZjRDG1DcBxk+HvollrJptKKCAAgoooEBkAgaEkS2IwyksYEBYmNAGuiQQdkV+FzgJ2AyEHYIhBAzHjoZ7BEN4GP4UFv6EGO4pHPi8d8Cuv+lDBIDhTsFwzOhTgB8CbwC+AxyS7Cj8aPLPHwfCPYdlPgaEZWralgIKKKCAAiMJ7Psm7l0Dvol7XDXfxC0aEKXdvbRldTmhXti51ze+3h2ERe98i+nNryMY6nQk4lA+eQKawe1MSnadZtnJNXocPB5+Li/lk3ZuZcwnbV8ph74vMFoxF7b1X6eeomIe007NdppXXUdmFu03/F7begv84P1wz/XAngMlDhoNR70MfvM9MHnmEzv5DPQ6vTF+roACCiiggALDCBgQ+mq0TcCAsG0r2u75HAvcCIS/hyd8ZyEEhGOTX4czZsLxo9sHMXQKCEPxU4F/ByYndcOdh6HdvuTXy4FXAgPOjikF24CwFEYbUUABBRRQYBiBfcfA3ZIcA3f1gcfAheM1wzFwJ4Zj4AZ887goZtEjJtPef1bmDsKw4+WaqQf6FHXIUj/tnLO0WWfZPMFQ3vGmPRJxqPazBDSD6/f3G75+8/mw+brOMwh1TvsE3Prm9OXTHPfY33MZ8wk7wMp8sowpj2mnsaZ9P+o6MrOsfkPot/0/YMeG/SITT4TDT6rmh0A6mfu5AgoooIACCrRWwICwtUvbsxMzIOzZpW/sxMOf2N8BnAuE3YDhx0TDkZ9fAC4BHhtiZmkCwlDtycBfAa8AngY8CtwOfAYI9xMO+pHUUgwNCEthtBEFFFBAAQWGEMjzjfmi4UCZ9wJ2OqKujL4G7twrGmwWeQnT7pos0ke362Z5//b9zNuA/9UM6/L0hTB1Dtx/E/xsULhd5h1nIwU0g82G6zdryJO1fJa1K2M+WfpLUzbPfDvVefp5MPVFsOUb7Tky0519ad4myyiggAIKKKBAjQIGhDXi23UlAgaElbDaqAKpBQwIU1NZUAEFFFCg5wWyHBGaZwdXp2P40ixAmbv6Jp3cuceiod7AnXtFj0btPNqhS5R151ve/qus1ynkCTtYT1gME58Bv/rp8HeYdSs4GdzPmMmw64Fsd6tlHWvW8lnWq4z5ZOkvTdk88+1Up9PnacZlGQUUUEABBRRQQIGOAgaEHYks0DABA8KGLZjDbZ2AAWHrltQJKaCAAgqUKpDniNAid8AVDavKvBdw6hmdKYuGegN37hVx6zzSoUuUEcrm7bvb9Qxxui1ufwoooIACCiiggAIKlCpgQFgqp41FIGBAGMEiOISeFjAg7Onld/IKKKCAAiMKZDmiceA9W2WGZlmXqNs7CIuEekOFoXl2Xg42GvtkePT+znJp70br3JIlFFBAAQUUUEABBRRQQIHKBQwIKye2gy4LGBB2GdzuFBgkYEDoK6GAAgoooMBQAnmCqv7daOveChuX5ncdeOxm1lbKvhcwTf9FrIa6czFLMNs/voF304V12LYONiwp/260NB6WUUABBRRQQAEFFFBAAQUqEDAgrADVJmsVMCCslb+yzv8G2An875Q9/BlwOPD+lOUtVp6AAWF5lrakgAIKKNAWgSK74o46G+5bAXsfy68xagws2AJ9E/O1Uea9gGlHkCXUS7Nzr9PdeU87F4L1odP2O42fPrSXx2qmXUHLKaCAAgoooIACCiigQOQCBoSRL5DDyyxgQJiZrBEV9gD3AUenHO1G4OnA6JTlLVaegAFheZa2pIACCijQFoGiR4SW4XD2eph0cr6Wio5/4L2AWUbQKdSbthBOWAyTT4ODMvwxwJAvyypYVgEFFFBAAQUUUEABBVoqYEDY0oXt4Wll+M5ADys1b+oGhM1ZMwPC5qyVI1VAAQUU6JZA0R14ZYzzzNUw9Yx8LRXZATnUvYB5RmGol0fNOgoooIACCiiggAIKKKDAsAIGhL4cbRMwIGzbiu6fT9aA8EHgYODQdnJEPSsDwqiXx8EpoIACCnRdoIw7/MoYdJEdhKH/su8FLGNOtqGAAgoooIACCiiggAIKKJBbwIAwN50VIxUwIIx0YQoOK0tA+BrgauA/gWcV7Nfq2QUMCLObWUMBBRRQoJsC+3ai3bU/8OqbAOOPy383X5pxb18Py05JU7K6MqPHwrn3F59n2fcCVjdjW1ZAAQUUUEABBRRQQAEFFOggYEDoK9I2AQPCdqzonwPhr/7nWOBx4O4RphfW/nBgYlLmI8A72sHRqFkYEDZquRysAgoo0CMC++6yuwU2LIFNV8OeXU9MfNQYCHfZnRjuspuZ7S67NHxbVsMNc9KUrK7M9EUw64py2q/qXsByRmcrCiiggAIKKKCAAgoooIACKQUMCFNCWawxAgaEjVmqEQd6ERD+yvusABYAD+VtwHq5BQwIc9NZUQEFFFCgEoG6d73FsIPwrLUwZWb5vN4LWL6pLSqggAIKKKCAAgoooIACXRIwIOwStN10TcCAsGvUlXZ0MvC8pIewppcD4V7Bvxih13AMaQgEbwd+UunobHwkAQNC3w8FFFBAgXgEYrg3r4w7CMMRoVNfDPden932mHNgzrXl74zMPhJrKKCAAgoooIACCiiggAIKRCRgQBjRYjiUUgQMCEthjK6RLHcQRjf4HhuQAWGPLbjTVUABBaIVCEdhrpoPm6/LPsSyQ7U1i2Dj0uzj6K8RjgidcQmsmAvb1qVv54gZMG/l/rsWfRRQQAEFFFBAAQUUUEABBRQYIGBA6OvQNgEDwratqPNpmoABYdNWzPEqoIACbRXYuhaWn55/dmUey1nWWOo+LjW/pjUVUEABBRRQQAEFFFBAAQUiEzAgjGxBHE5hAQPCwoQ2oEAhAQPCQnxWVkABBRQoTaCMXXuzrihnOGXuZgxtPXArbFgCm66CPbueGGM4inTaQjhhMUw+zWNFy1k9W1FAAQUUUEABBRRQQAEFWilgQNjKZe3pSRkQtn/5RwEnAkcAfR2mu6r9HNHN0IAwuiVxQAoooEAPCpRx79+oMbBgC/RNLAewivsQwzx3boTQdjhGdPz08sZbzqxtRQEFFFBAAQUUUEABBRRQIFIBA8JIF8Zh5RYwIMxNF33Fo4APA68GnpRitCGoOjhFOYuUK2BAWK6nrSmggAIK5BHYvh6WnZKn5oF1zl4Pk04u3k5/Cx4RWp6lLSmggAIKKKCAAgoooIACChQSMCAsxGflCAUMCCNclBKGdDSwFgh/z7LGYbehT3cFDAi7621vCiiggAJDCWxZDTfMKW5z5mqYekbxdga24BGh5XramgIKKKCAAgoooIACCiigQC4BA8JcbFaKWCBLeBTxNBzaIIFPAm8CdgDvAq4F7gEeVyo6AQPC6JbEASmggAI9KBDrDsLBS+ERoT34cjplBRRQQAEFFFBAAQUUUCAOAQPCONbBUZQnYEBYnmVMLd2d7B48D/hyTANzLP9NwIDQl0IBBRRQoH6BMu4gHD0Wzr3fO/3qX01HoIACCiiggAIKKKCAAgooUIGAAWEFqDZZq4ABYa38lXX+aHK06KHAryvrxYbLEDAgLEPRNhRQQAEFigusWQQbl+ZvZ/oimHVF/vrWVEABBRRQQAEFFFBAAQUUUCBiAQPCiBfHoeUSMCDMxRZ9pZ8BE4HDox+pAzQg9B1QQAEFFIhDYOtaWH56/rGctRamzMxf35oKKKCAAgoooIACCiiggAIKRCxgQBjx4ji0XAIGhLnYoq90ObAIeCawIfrR9vYADQh7e/2dvQIKKBCPwN69sGo+bL4u+5iOOQfmXAsH+b+W2fGsoYACCiiggAIKKKCAAgoo0AQBA8ImrJJjzCLgd3GyaDWn7AnAd4EbgHObM+yeHKkBYU8uu5NWQAEFIhXYvQNWzIVt69IP8IgZMG8l9E1IX8eSCiiggAIKKKCAAgoooIACCjRMwICwYQvmcDsKGBB2JGpsgRcD1yRB4YeAW4BfNXY27R24AWF719aZKaCAAs0UCCHhzeen20kYdg7OvtJwsJkr7agVUEABBRRQQAEFFFBAAQUyCBgQZsCyaCMEDAgbsUyZB/l45hoQgqqDc9SzSjEBA8JiftZWQAEF6hfY/RDsvAtCsBZ20Y0/DvrCVcANfsJxow/cChuWwKarYM+uJyYzeixMWwgnLIbJp3msaIOX2aEroIACCiiggAIKKKCAAgqkFzAgTG9lyWYIGBA2Y52yjnJP1grsDwhH56hnlWICBoTF/KytgAIK1COwL0C7JQnQrj4wQBs1Zn+AdmII0GY2P0DbF4BuHBCATm9+AFrPW2OvCiiggAIKKKCAAgoooIACDRYwIGzw4jn0IQUMCNv5Yrwo57S+kbOe1fILGBDmt7OmAgooUI+AR3DW426vCiiggAIKKKCAAgoooIACCtQoYEBYI75dVyJgQFgJq40qkFrAgDA1lQUVUECBmgQGHiF60ChY96ew/bb0gzliBsxb6T196cUsqYACCiiggAIKKKCAAgoooEB0AgaE0S2JAyooYEBYENDqChQUMCAsCGh1BRRQoBKBkY4QzdPhMefAnGubf9xonrlbRwEFFFBAAQUUUEABBRRQQIEWCBgQtmARncIBAgaEvfFChHWeDIwDftYbU27MLA0IG7NUDlQBBXpGIMsRollQzloLU2ZmqWFZBRRQQAEFFFBAAQUUUEABBRSIRMCAMJKFcBilCRgQlkYZZUPPB94NnAkcCoQw6uABI50E/F3y9T8DHotyFu0elAFhu9fX2SmgQNMEQji4Yi5sW1f+yKcvgllXlN+uLSqggAIKKKCAAgoooIACCiigQOUCBoSVE9tBlwUMCLsM3sXufg+4DOgb0GcIo0YPGsNyYB7wSuCrXRyfXe0XMCD0TVBAAQViEQjHiq6aD5uvq2ZEo8bAgi3QN7Ga9m1VAQUUUEABBRRQQAEFFFBAAQUqEzAgrIzWhmsSMCCsCb7ibp8F3AYcAvxfYClwfXLM6OCA8HeTz0OY+EcVj8vm/7uAAaFvhQIKKBCLwNa1sPz0akdz9nqYdHK1fdi6AgoooIACCiiggAIKKKCAAgqULmBAWDqpDdYsYEBY8wJU1P2ngAuAS4E/Tfq4F5g6xA7Co4GfAz8ATqpoPDY7vIABoW+HAgooEIvAmkWwMfxMTYXPmath6hkVdmDTCiiggAIKKKCAAgoooIACCihQhYABYRWqtlmngAFhnfrV9f0T4FhgWhL+hZ6GCwjDZzuBx4HDqhuSLQ8jYEDoq6GAAgrEILD7IbhmKuzZVe1o3EFYra+tK6CAAgoooIACCiiggAIKKFCRgAFhRbA2W5uAAWFt9JV2/AiwGxh4ydFIAeEvknAwHEnq010BA8LuetubAgooMLTA9vWw7JRqdUaPhXPv9w7CapVtXQEFFFBAAQUUUEABBRRQQIFKBAwIK2G10RoFDAhrxK+w618CY4EnAfsCqBF2EIYyDwGhzpEVjsmmhxYwIPTNUEABBWIQ2LIabphT7UimL4JZV1Tbh60roIACCiiggAIKKKCAAgoooEAlAgaElbDaaI0CBoQ14lfY9frkPsFnAXck/Qy3g3AB8CVgNfCiCsdk0waEvgMKKKBANQLheNCdd8HuHdCqiEwoAAAgAElEQVQ3AcYfl32XXjd2EJ61FqbMrMbAVhVQQAEFFFBAAQUUUEABBRRQoFIBA8JKeW28BgEDwhrQu9Dl3wEXAh8H/mSEgHAycEtyX+E7gX/owtjs4kABdxD6RiiggAJ5BPbuhQdugQ1LYNPVB94dOGoMTFsIJy6GyTPhoBT/u1P1HYTHnANzrk03ljwe1lFAAQUUUEABBRRQQAEFFFBAgUoFDAgr5bXxGgRSfMeshlHZZVGBJwMbgEOB9wP/O9lJOBUYnRw9+jvA3wLTgK3ACclRo0X7tn42AQPCbF6WVkABBfbvFLz5fNh8XWeNEMzNvnL/zsJOz5pFsHFpp1LZPz9iBsxbmW4M2Vu3hgIKKKCAAgoooIACCiiggAIKdEHAgLALyHbRVQEDwq5yd7WzVwBfBvqA3cCoJBz8MXAccAgQ1n8XEMqu6Oro7KxfwIDQd0EBBRTIIhDCwRVzYdu69LXSBnRb18Ly09O3m6ZkloAyTXuWUUABBRRQQAEFFFBAAQUUUECBWgQMCGtht9MKBQwIK8SNoOlw0dHHgBnDjOU24M3ArRGMtVeHYEDYqyvvvBVQILtAOFZ01fx0OwcHt57miM8i7Q/sb/TY/UecnhCOOD3NY0Wzr7Q1FFBAAQUUUEABBRRQQAEFFIhOwIAwuiVxQAUFDAgLAjak+nOBM4Cjk12E9wHfAjJsv4hipuF8uLcDC4DpwOPJ0alXAZcAj+Uc5THAfOAlwClA+HV4gtO3gU8BK3O23amaAWEnIT9XQAEF+gWK7vA7ay1MCT87M8KTZ4fipFNgxsdg7579x4iOnw59E103BRRQQAEFFFBAAQUUUEABBRRokYABYYsW06nsEzAg9EVoikC4K/Em4NhkwA8nYeeY5NdhN+Q8YHvGCT0N2DTo90JoO/zeeNKAti4H/igJJTN2MWJxA8IyNW1LAQXaLVD0jsDpi2DWFZ2NqrrjsHPPllBAAQUUUEABBRRQQAEFFFBAgUgFDAgjXRiHlVvAgDA3nRW7KDAaCAHgScC9wBuAG5J7FV+T7PALuwuXAS/POK4QOG5M7mBcmrR7T9L2M4EPJbsLQ7MfBN6Tsf1OxQ0IOwn5uQIKKBAEdj8E10yFPeHq3JzPqDGwYEu63X3huNEHboUNS2DTVQf26xGiORfAagoooIACCiiggAIKKKCAAgo0V8CAsLlr58iHFjAg9M1ogsAFwGXJQGcDawYN+nXA55OvnZmEfWnndRhwPPDdYSqE3yNfA14G7ASOBB5N23iKcgaEKZAsooACCrB9PSwLp0AXfM5eD5NOztZICCd3boSws9AjRLPZWVoBBRRQQAEFFFBAAQUUUECBlggYELZkIZ3GfwkYEDb/ZSjrbrwQVIUjOmN8VgEvBG4E5g4xwPAe/yS5lzDsAlxU8iTCLsUvJm0+P9nNWFYXBoRlSdqOAgq0W2DLarhhTvE5nrkapoZreX0UUEABBRRQQAEFFFBAAQUUUECB9AIGhOmtLNkMAQPCZqzTSKPc02EK+wKoIe6b7P96/2fh1+Eoz9ieccCO5MjPC4GLhxngEmAxcB9wVMmTOAf416TN04B1JbZvQFgipk0poECLBercQdhiVqemgAIKKKCAAgoooIACCiiggALpBAwI0zlZqjkCBoTNWavhRnrRMB8ckgRmhwObgZuAnydljwFeDDwV2A58AngMeF+EHKcOCOTC/YLhnsGhnrcAlyYfTAa2lTiXfwLelhiFI0YfKrFtA8ISMW1KAQVaLFDGHYTh7sBz7093B2GLKZ2aAgoooIACCiiggAIKKKCAAgpkFzAgzG5mjbgFDAjjXp+8ozsYuAF4AfBnyf19A3cMhnbD2oe7/S4Bvg2Eu/sez9thhfUG7t4Ll0Z9f5i+5gNfST47Cbi9pDFNT9oKOxk/C7yhpHb7mzEgLBnU5hRQoMUCaxbBxnCSdM5n+iKYdUXOylZTQAEFFFBAAQUUUEABBRRQQIFeFjAg7OXVb+fcDQjbua5/Cfwd8CfJ7sCRZvnmZOfdXwH/GCHH64Erk3GdCNw5zBhfCixPPpsNrClhLk8CVgNhF+MDQAgow27MLM/gYHbIunv3piqWpV/LKqCAAu0T2LoWlp+ef15nrYUpM/PXt6YCCiiggAIKKKCAAgoooIACCvSsgAFhzy59ayduQNjOpV0PPAuYCOzqMMUxyR1/PwSeVxLH7wOfLtDW2cD1Sf26AsKwC/NLwKuA3cArBgSQWaaWKvkzIMxCalkFFOhZgfDDFKvmw+brshMccw7MuRYO8n99suNZQwEFFFBAAQUUUEABBRRQQAEFDAh9B9om4HfJ2rai++ezI7kvL9zFl+YJu+PCnYUT0hROUabMgLCOI0ZHJ7sWzwN+DbwO+HKKeecp4hGjedSso4ACvSuwewesmAvb1qU3OGIGzFsJfWX9Zy5915ZUQAEFFFBAAQUUUEABBRRQQIF2CBgQtmMdncUTAgaE7Xwbtie7B5+e4kjMY4C7gQeBSSVxhF2JRb4LG8YSdu2FJxzv2f9d4JcDy4YZ41uSo1LDxyEY3ZZzLiEc/BywMLmT8Xzg6pxtpalmQJhGyTIKKKDAQIEQEt58frqdhGHn4OwrDQd9gxRQQAEFFFBAAQUUUEABBRRQoJCAAWEhPitHKGBAGOGilDCkrwNzgS8mu99GavILQNgptwII9/jF9oxLdkSOAi4ELh5mgEuAxcB9wFE5JzFw5+DjwO8CV+VsK201A8K0UpZTQAEFBgqE40YfuBU2LIFNV8GeASdqjx4L0xbCCYth8mkeK+qbo4ACCiiggAIKKKCAAgoooIAChQUMCAsT2kBkAgaEkS1IScMJd/h9FQjh003AB4FvDtiV1wecAbwLeEnSZ7hjb7jdeSUNK3czq4AXAiuBeUO0Et7jO4HjgKXAohw91REOhmEaEOZYLKsooIACBwjsfgh2boSwszAcIzp+OvSFa3h9FFBAAQUUUEABBRRQQAEFFFBAgXIEDAjLcbSVeAQMCONZi7JH8l7gb/oDqOQuva3Jr48EDgb61z8EiKFsrM8FwGXJ2GcBawcN9LUDjgE9M9kNmWUuIRz8PBDaCXcOhp2DVR4rOnBsBoRZVsqyCiiggAIKKKCAAgoooIACCiiggAIKKKBADQIGhDWg22WlAgaElfLW3vgrgQ8DzxpmJD9KdhF+pfaRjjyAEGZ+FzgpuVMx7BAMR6KGY0cXJOFh2CoSdkCGewoHPyEsvSj54nTgpwMKhHDws8lRrCEcfD3wpS56GBB2EduuFFBAAQUUUEABBRRQQAEFFFBAAQUUUECBPAIGhHnUrBOzgAFhzKtT3thCsDYDmJo0uQVYB/xHeV1U3tKxwI1A+Ht4Hk4CwrHJr29Ljh/dPsRIRgoI5wDfSOrsBrZ1mMmfl7y70ICw8lfHDhRQQAEFFFBAAQUUUEABBRRQQAEFFFBAgWICBoTF/Kwdn4ABYXxr4oiGF5gAvAM4Fwg7AfcAdwBfAC4BHhum6kgB4YuT4DGt+xuBK9IWTlHOgDAFkkUUUEABBRRQQAEFFFBAAQUUUEABBRRQQIE6BQwI69S37yoEDAirULVNBdILGBCmt7KkAgoooIACCiiggAIKKKCAAgoooIACCihQi4ABYS3sdlqhgAFhhbg2rUAKAQPCFEgWUUABBRRQQAEFFFBAAQUUUEABBRRQQAEF6hQwIKxT376rEDAgrEI1jjbD2i4CXgc8FzgCOHiEoYWgaqTP45hV+0ZhQNi+NXVGCiiggAIKKKCAAgoooIACCiiggAIKKNAyAQPCli2o08GAsJ0vwRjgq8BLIPUah6BqdDs5op6VAWHUy+PgFFBAAQUUUEABBRRQQAEFFFBAAQUUUEABMCD0LWibgAFh21Z0/3z+BnhvMrV/Bq4F7gF+3WG632gnR9SzMiCMenkcnAIKKKCAAgoooIACCiiggAIKKKCAAgooYEDoO9A+AQPC9q1pmNEPgWcA7wfe184ptmZWBoStWUonooACCiiggAIKKKCAAgoooIACCiiggAJtFXAHYVtXtnfnZUDYzrV/BOgDDgd2tnOKrZmVAWFrltKJKKCAAgoooIACCiiggAIKKKCAAgoooEBbBQwI27qyvTsvA8J2rv2W5D7Bye2cXqtmZUDYquV0MgoooIACCiiggAIKKKCAAgoooIACCijQRgEDwjauam/PyYCwnev/VeC3ganAtnZOsTWzMiBszVI6EQUUUEABBRRQQAEFFFBAAQUUUEABBRRoq4ABYVtXtnfnZUDYzrWfBywHPgS8p51TbM2sDAhbs5RORAEFFFBAAQUUUEABBRRQQAEFFFBAAQXaKmBA2NaV7d15GRC2d+3fAXwYeD/wT8DD7Z1qo2dmQNjo5XPwCiiggAIKKKCAAgoooIACCiiggAIKKNALAgaEvbDKvTVHA8J2rvfKZFrPAw4DdgE/AHaMMN0QVIWdhz7dFTAg7K63vSmggAIKKKCAAgoooIACCiiggAIKKKCAApkFDAgzk1khcgEDwsgXKOfw9uSoF4Kq0TnqWaWYgAFhMT9rK6CAAgoooIACCiiggAIKKKCAAgoooIAClQsYEFZObAddFjAg7DJ4l7q7KGc/78tZz2r5BQwI89tZUwEFFFBAAQUUUEABBRRQQAEFFFBAAQUU6IqAAWFXmO2kiwIGhF3EtisFhhAwIPS1UEABBRRQQAEFFFBAAQUUUEABBRRQQAEFIhcwIIx8gRxeZgEDwsxkVlCgVAEDwlI5bUwBBRRQQAEFFFBAAQUUUEABBRRQQAEFFChfwICwfFNbrFfAgLBef3tXwIDQd0ABBRRQQAEFFFBAAQUUUEABBRRQQAEFFIhcwIAw8gVyeJkFDAgzkzWqwjjgTcBvA9OAJwHHD5jBYcD/AEJI9YVGzaw9gzUgbM9aOhMFFFBAAQUUUEABBRRQQAEFFFBAAQUUaKmAAWFLF7aHp2VA2N7Ffx5wLfBUoH+dQxg1esCUw9dvB54JzAbWtpcj2pkZEEa7NA5MAQUUUEABBRRQQAEFFFBAAQUUUEABBRTYL2BA6JvQNgEDwrat6P75TAa+DxwFfCfZHfg3wIRBAWEo+zbgH4G/B97ZTo6oZ2VAGPXyODgFFFBAAQUUUEABBRRQQAEFFFBAAQUUUMCA0HegfQIGhO1b0zCjDwDvAlYkx4vuAe4Fpg4RED4D+BFwC3B6OzminpUBYdTL4+AUUEABBRRQQAEFFFBAAQUUUEABBRRQQAEDQt+B9gkYELZvTcOM1gMnATOA25IpDhcQho93ATuAKe3kiHpWBoRRL4+DU0ABBRRQQAEFFFBAAQUUUEABBRRQQAEFDAh9B9onYEDYvjUNMwph38HAOGBfADXCDsLw2S+Aw4BD2skR9awMCKNeHgenQAUCux+CnXfB7h3QNwHGHwd9EyvoyCYVUEABBRRQQAEFFFBAAQUUUEABBcoS8A7CsiRtJxYBA8JYVqLccfwKCMeKhjsH+5/hdhCOAh4GHgEmlTsMW0shYECYAskiCjReYO9eeOAW2LAENl0Ne8LG7eQZNQamLYQTF8PkmeHH0Ro/XSeggAIKKKCAAgoooIACCiiggAIKtE3AgLBtK+p8/C5kO9+BO4HpwFHAlmSKwwWEs4FvAt8DTmknR9SzMiCMenkcnAIlCISdgjefD5uv69zYMefA7Cv37yz0UUABBRRQQAEFFFBAAQUUUEABBRSIRsCAMJqlcCAlCRgQlgQZWTOXA4uAvwYuTsY2VEAYdg9+HXgx8BHgHZHNoxeGY0DYC6vsHHtX4OHNcONZ8OAP0xscMQPmrTQkTC9mSQUUUEABBRRQQAEFFFBAAQUUUKByAQPCyontoMsCBoRdBu9Sd88DvpPcRfgq4KYh7iB8GnAp8Arg18Azgbu6ND67eULAgNC3QYG2CfQfJ3rHpfDTK5MTnzNOMuwknHOtx41mZLO4AgoooIACCiiggAIKKKCAAgooUJWAAWFVsrZbl4ABYV3y1ff7PuA9yXem1wEnAWOBTyT/fDowGgjvwF8C/1T9kOxhCAEDQl8LBdokkOU40U7zPmstTJnZqZSfK6CAAgoooIACCiiggAIKKKCAAgp0QcCAsAvIdtFVAQPCrnJ3vbO/AD4IjBvQcwik+tf9keQY0ku6PjI77BcwIPRdUKAtAiEcXDEXtoWfySjhmb4IZl1RQkM2oYACCiiggAIKKKCAAgoooIACCihQVMCAsKig9WMTMCCMbUXKH89k4HzgDODoZNfgfcC3gM8C95ffpS1mEDAgzIBlUQWiFQjHiq6aD5uvK2+Io8bAgi3QN7G8Nm1JAQUUUEABBRRQQAEFFFBAAQUUUCCXgAFhLjYrRSxgQBjx4ji0nhAwIOyJZXaSrRfYuhaWh5ObS37OXg+TTi65UZtTQAEFFFBAAQUUUEABBRRQQAEFFMgqYECYVczysQsYEMa+Qo6v7QIGhG1fYefXGwJrFsHGpeXP9czVMDVsAPdRQAEFFFBAAQUUUEABBRRQQAEFFKhTwICwTn37rkLAgLAK1fjanAA8H5iaDG0LcBvwUHxD7bkRGRD23JI74dYJ7H4IrpkKe3aVPzV3EJZvaosKKKCAAgoooIACCiiggAIKKKBADgEDwhxoVolawIAw6uUpPLjnAR8AXgaMGtTaHuB64G+SsLBwZzaQS8CAMBeblRSISGD7elh2SvkDGj0Wzr3fOwjLl7VFBRRQQAEFFFBAAQUUUEABBRRQILOAAWFmMitELmBAGPkCFRjeG4FPAAcDI63zr4E3A5cX6Muq+QUMCPPbWVOBOAS2rIYb5pQ/lumLYNYV5bdriwoooIACCiiggAIKKKCAAgoooIACmQUMCDOTWSFyAQPCyBco5/BmAjcnuwY3ABcDK4HNQAikngrMBd4GPBMIuwlnA7fk7M9q+QUMCPPbWVOBOASq2kF41lqYEv517qOAAgoooIACCiiggAIKKKCAAgooULeAAWHdK2D/ZQsYEJYtGkd7/wLMB24CXg48OsywxgBfA14CXAv8ThzD76lRGBD21HI72VYKVHEH4THnwJxr4SD/M93Kd8ZJKaCAAgoooIACCiiggAIKKKBA4wQMCBu3ZA64g4DfeWznK/IL4Ajg2cB/dphi2EH4Q+AB4Mh2ckQ9KwPCqJfHwSmQUmDNIti4NGXhDsWOmAHzVkLfhHLasxUFFFBAAQUUUEABBRRQQAEFFFBAgcICBoSFCW0gMgEDwsgWpKThPAzsAialbG87cAhwaMryFitPwICwPEtbUqA8gbArcOddsHvH/qBu/HHQN3H49reuheWnF+8/7BycfaXhYHFJW1BAAQUUUEABBRRQQAEFFFBAAQVKFTAgLJXTxiIQMCCMYBEqGMKPgWlJ4BfuFxzpGQ3sBDYl9xFWMBybHEHAgNDXQ4FYBPbuhQdugQ1LYNPVsCf8nEXyjBoD0xbCiYth8sz/fvRnqLtqPmy+LsdsRsH0NyRtn+axojkEraKAAgoooIACCiiggAIKKKCAAgpULWBAWLWw7XdbwICw2+Ld6e/DwIXAa4B/7tDlAuBLQKjzru4Mz14GCBgQ+jooEINA2Cl48/npAr7hdvmFNlbMhW3r0s9o4rNh7nIYd0z6OpZUQAEFFFBAAQUUUEABBRRQQAEFFOi6gAFh18ntsGIBA8KKgWtqfjwQvkM9BXg1cNMw45iTBIhbgJnJTsKahtyz3RoQ9uzSO/FoBPIEe8PdE1hG0BgNjANRQAEFFFBAAQUUUEABBRRQQAEFFOgXMCD0XWibgAFh21Z0/3zeABwBXASES7O+BawENgMhkHoq8BLgDOBB4H1AuIdwqGdpO4mimZUBYTRL4UB6UqDI0aBhJ+Gca4c+bvSBW5OjSq868KjS0WP3H1V6Qjiq1ONEe/Kdc9IKKKCAAgoooIACCiiggAIKKNBIAQPCRi6bgx5BwICwna9HuHdwX/AEhDXu/+fBsx3ps1A21Ds4IqIJwNuBcCzqdOBx4A7gKuAS4LGSx/oJ4I+TNsMdjceW3H6/MXtDSOGjgALdF9i6Fpafnr/fs9bClLABe5hn90OwcyOEnYV9E2D8dOgLP7fho4ACCiiggAIKKKCAAgoooIACCijQJAEDwiatlmNNI2BAmEapeWV+OkIomHU2IYiL4ZmWHJXaH9I9DIwGxiSDuw2YN8JOyKxzeHGy67L/94gBYVZByyvQBIE1i2BjgY3S0xfBrCuaMFPHqIACCiiggAIKKKCAAgoooIACCihQQMCAsACeVaMUMCCMclkc1CCBEASGAPAk4N7kCNUbgFHAa4BPAWF34TLg5SXojQO+Dzwd+B4wAzAgLAHWJhSISiDs7rtm6oFHgGYd4KgxsGCLuwKzulleAQUUUEABBRRQQAEFFFBAAQUUaJiAAWHDFszhdhQwIOxIZIEIBC4ALkvGMRtYM2hMrwM+n3ztTGBFwTF/BPgL4G+T+xoXGRAWFLW6AjEKbF8Py04pPrKz18Okk4u3YwsKKKCAAgoooIACCiiggAIKKKCAAtEKGBBGuzQOLKeAAWFOOKt1VWAV8ELgRmDuED2H9/gnyb2E4azAEOjlfcJlZN8C7gTCd/zDPYQGhHk1radAzAJbVsMNc4qP8MzVMPWM4u3YggIKKKCAAgoooIACCiiggAIKKKBAtAIGhNEujQPLKWBAmBOuQdWmAC8Bwh1+4ejM9zdo7GGoYcw7kuNELwQuHmb8S4DFwH3AUTnnGO4zDEeZPjMJIm8CwuViBoQ5Qa2mQNQC7iCMenkcnAIKKKCAAgoooIACCiiggAIKKBCTgAFhTKvhWMoQMCAsQzHONg4G/h54C3DIgCGG+/z6n0nJzrsQwk1P7veLbTanAuuSQYX7BcM9g0M9YZ6XJh9MBrblmEg4UvR/JceZ/mFS34AwB6RVFGiEQBl3EI4eC+fe7x2EjVhwB6mAAgoooIACCiiggAIKKKCAAgrkFzAgzG9nzTgFDAjjXJcyRvUvwCuThn4APAMIoeHAgDB8/LEkRAwBWzhOM7bnHOBfk0GFIz+/P8wA5wNfST47Cbg940TCRWS3AA8AzwK2J/UNCDNCWlyBRgmsWQQbw8nEOZ/pi2BW+NeEjwIKKKCAAgoooIACCiiggAIKKKBAmwUMCNu8ur05NwPCdq77ecAXgPuBsOsuHJt5LzB1iIDwRcndfl8DXhEhx+uBK5NxnZjcDTjUMF8KLE8+mA2syTCXEJzeCjwPCHZfHFC3aEC4N8049u5NVSxNU5ZRQIEsAlvXwvJw9WjO56y1MGVmzspWU0ABBRRQQAEFFFBAAQUUUEABBRRoioABYVNWynGmFTAgTCvVrHLXAyEwC3fnfS4Z+nAB4ZOAncDPk3sKy5jp7wOfLtDQ2UCYQ3i6ERC+G/gA8G9A2LE48DEgLLCQVlUgeoEQzq+aD5uvyz7UY86BOdfCQf6nNDueNRRQQAEFFFBAAQUUUEABBRRQQIFmCRgQNmu9HG1nAb+r2dmoiSW2AOEevvHAI8kEhgsIw8fhvr6xQLiLsIynzICw6iNGn53ssHwMCP989yCAogFhJ899WwfdQdiJyc8VqFBg9w5YMRe29V93mqKvI2bAvJXQNyFFYYsooIACCiiggAIKKKCAAgoooIACCjRdwICw6Svo+AcLGBC2853YBfwKOGLA9EYKCH8JHFJiQDgGKPJd8weB3cnYTwX6v2sfjktdNsyShTsUL00+C+FoCD3TPDcCLwbemdzHOLhOuJfxfOBnwHOSD4Nv//jS9DFSGQPCooLWV6AMgRAS3nx+up2EYefg7CsNB8twtw0FFFBAAQUUUEABBRRQQAEFFFCgIQIGhA1ZKIeZWsCAMDVVowreBxwJHAo8mox8uIDwqUn4FQKwYyOcZdjVuAMYBVwIXDzMGJcAi4Ew96MyzOOnOY5W/Z/ARzP0MVJRA8KSIG1GgcIC4bjRB26FDUtg01WwJ/wsQPKMHgvTFsIJi2HyaR4rWhjbBhRQQAEFFFBAAQUUUEABBRRQQIFmCRgQNmu9HG1nAQPCzkZNLPHvwJlA2HEX/jk8wwWE4e69dwFfAs6LdLKrgBcCK4F5Q4wxvMd3AscBS5O7F9NOxYAwrZTlFOglgd0Pwc6NEHYWhmNEx0+Hvom9JOBcFVBAAQUUUEABBRRQQAEFFFBAAQUGCBgQ+jq0TcCAsG0run8+4Q7Ay5OjOcPxmQ8PExC+FvgcMBqYD/xbpBwXAJeFq/qAWcDaQeMM87g6+VoIRleUOA/vICwR06YUUEABBRRQQAEFFFBAAQUUUEABBRRQQIEmChgQNnHVHPNIAgaE7Xw/wnGcNwOnAbcDHwc+CEwCXgA8F1iY7MYL70AI1F4aMcXBwHeBk4DNyQ7BMOYwzwVJeBi29oT7CcOuycHPe4GLki9OB8KuwbSPAWFaKcspoIACCiiggAIKKKCAAgoooIACCiiggAItFTAgbOnC9vC0DAjbu/hTkx2BM5Kdd0PNNKx/2I33P4BtkVOE+xFvHHBPYtgVGQLCscm4b0sCz+1DzMOAMPLFdXgKKKCAAgoooIACCiiggAIKKKCAAgoooEDMAgaEMa+OY8sjYECYR605dfqAPwLelOy+C4Fa//ND4JPAJ4DHGjKlCcA7gHOBsBNwD3AH8AXgkhHmYUDYkAV2mAoooIACCiiggAIKKKCAAgoooIACCiigQIwCBoQxropjKiJgQFhEr1l1xwNPSe4bvB/4ZbOG39rRhnsV2bt33998FFBAAQUUUEABBRRQQAEFFFBAAQUUUEABBSIUMCCMcFEcUiEBA8JCfFZWoLCAAWFhQhtQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQWqFTAgrNbX1rsvYEDYfXN7VGCggAGh74MCCiiggAIKKKCAAgoooIACCiiggAIKKBC5gAFh5Avk8DILGBBmJmtEhcOBVwEvAo4HjkhG/QDwE+Am4Id5Xg0AACAASURBVCvAQ42YTbsHaUDY7vV1dgoooIACCiiggAIKKKCAAgoooIACCijQAgEDwhYsolM4QMCAsH0vxF8Bfw1MHDC1/nUeeNHdg8CHgH9sH0GjZmRA2KjlcrAKKKCAAgoooIACCiiggAIKKKCAAgoo0IsCBoS9uOrtnrMBYbvW97PA64H+dX0cuAvYlnxtEnAcMDqZdginlgJvbBdDo2ZjQNio5XKwCiiggAIKKKCAAgoooIACCiiggAIKKNCLAgaEvbjq7Z6zAWF71vfNwJJkOrcluwOvB341aIqHAmcD7wROAUJA9cfAZe2haNRMDAgbtVwOtnSBh38Ov/gWPPoLGHskHPlbMO6ppXdjgwoooIACCiiggAIKKKCAAgoooIACChQRMCAsomfdGAUMCGNclexj6gPuSe4avAr4fWB3h2ZCnc8AC4FfAMcAv87etTUKChgQFgS0egMF9uyBuz4NP/wQ7AybnAc944+HZ78TjnsjjBrVwAk6ZAUUUEABBRRQQAEFFFBAAQUUUECBtgkYELZtRZ2PAWE73oEFwJeS40R/E3g05bTGAj8AjgVeDfxLynoWK0/AgLA8S1tqgsDD98D1z4dH7+882rFPhpd9F8Yd3bmsJRRQQAEFFFBAAQUUUEABBRRQQAEFFKhQwICwQlybrkXAgLAW9tI7/RiwGHg78NGMrb8N+MfkeNK3Zqxr8eICBoTFDW2hKQK/2gzXnQB70v4MQ7gxdRycs8GQsClr7DgVUEABBRRQQAEFFFBAAQUUUECBlgoYELZ0YXt4WgaE7Vj8bwGnA89NdgRmmdVzgP8A1gC/laWiZUsRMCAshdFGohfY9SD8y1TY81j2oYadhK+6x+NGs8tZQwEFFFBAAQUUUEABBRRQQAEFFFCgJAEDwpIgbSYaAQPCaJai0EDuBo4Cwr2C+wKnDE94B8J9hfcCT8tQz6LlCBgQluNoKzEL7N4BXz0JHt6Uf5QvuByOf2P++tZUQAEFFFBAAQUUUEABBRRQQAEFFFCggIABYQE8q0YpYEAY5bJkHtSDwB5gUuaa+ytsCwf5AYflrG+1/AIGhPntrNkEgb17YdV82HxdsdGOPx5eeWexNqytgAIKKKCAAgoooIACCiiggAIKKKBATgEDwpxwVotWwIAw2qXJNLDHgfuBozPVeqJw2D14JHBwzvpWyy9gQJjfzppNENi6FpaHE5BLeF51N4x7agkN2YQCCiiggAIKKKCAAgoooIACCiiggALZBAwIs3lZOn4BA8L41yjNCMPuwfsKBoRTk12EafqzTHkCBoTlWdpSjAJrFsHGpeWM7LeuhmmvLactW1FAAQUUUEABBRRQQAEFFFBAAQUUUCCDgAFhBiyLNkLAgLARy9RxkAaEHYmiLWBAGO3SOLDCArsfgmumwp5dhZva18CMS+E33lJOW7aigAIKKKCAAgoooIACCiiggAIKKKBABgEDwgxYFm2EgAFhI5ap4yBDQLgvaMr5hPcg1A/3EPp0V8CAsLve9tZNge3rYdkp5fXoDsLyLG1JAQUUUEABBRRQQAEFFFBAAQUUUCCTgAFhJi4LN0DAgLABi5RiiCEgLPoYEBYVzFffgDCfm7WaILBlNdwwp7yRegdheZa2pIACCiiggAIKKKCAAgoooIACCiiQScCAMBOXhRsgYEDYgEVKMcSLUpRJU+R9aQpZplQBA8JSOW0sKoEydxCOPx5eeWdU03MwCiiggAIKKKCAAgoooIACCiiggAK9I2BA2Dtr3SszNSDslZV2nrEKGBDGujKOq7hAmXcQvuByOP6NxcdkCwoooIACCiiggAIKKKCAAgoooIACCuQQMCDMgWaVqAUMCKNeHgfXAwIGhD2wyD09xTWLYOPSYgRjnwyvugdGjSrWjrUVUEABBRRQQAEFFFBAAQUUUEABBRTIKWBAmBPOatEKGBBGuzQOrEcEDAh7ZKF7dppb18Ly0/NPf9RYeOVPYNzR+duwpgIKKKCAAgoooIACCiiggAIKKKCAAgUFDAgLAlo9OgEDwuiWxAH1mIABYY8teM9Nd+9eWDUfNl+XfeqjDoFz7oJDj8le1xoKKKCAAgoooIACCiiggAIKKKCAAgqUKGBAWCKmTUUhYEAYxTI4iB4WMCDs4cXvmanv3gEr5sK2demnfOg0eNn3YMxh6etYUgEFFFBAAQUUUEABBRRQQAEFFFBAgYoEDAgrgrXZ2gQMCGujt2MF9gkYEPoi9IZACAlvPj/dTsJjzoHZV0LfhN6wcZYKKKCAAgoooIACCiiggAIKKKCAAtELGBBGv0QOMKOAAWFGMIsrULKAAWHJoDYXsUA4bvSBW2HDEth0FezZ9cRgR4+FaQvhhMUw+TQ4yP88RbySDk0BBRRQQAEFFFBAAQUUUEABBRToOQEDwp5b8tZP2O/Atn6JnWDkAgaEkS+Qw6tIYPdDsHMjhJ2FYafg+OnQN7GizmxWAQUUUEABBRRQQAEFFFBAAQUUUECBYgIGhMX8rB2fgAFhfGviiHpLwICwt9bb2SqggAIKKKCAAgoooIACCiiggAIKKKBAAwUMCBu4aA55RAEDQl8QBeoVMCCs19/eFVBAAQUUUEABBRRQQAEFFFBAAQUUUECBjgIGhB2JLNAwAQPChi2Yw22dgAFh65bUCSmggAIKKKCAAgoooIACCiiggAIKKKBA2wQMCNu2os7HgNB3QIF6BQwI6/W3dwUUUEABBRRQQAEFFFBAAQUUUEABBRRQoKOAAWFHIgs0TMCAsGEL5nBbJ2BA2LoldUIKKKCAAgoooIACCiiggAIKKKCAAgoo0DYBA8K2rajzMSD0HVCgXgEDwnr97V0BBRRQQAEFFFBAAQUUUEABBRRQQAEFFOgoYEDYkcgCDRMwIGzYgjnc1gkYELZuSZ2QAgoooIACCiiggAIKKKCAAgoooIACCrRNwICwbSvqfAwIfQcUqFfAgLBef3tXQAEFFFBAAQUUUEABBRRQQAEFFFBAAQU6ChgQdiSyQMMEDAgbtmAOt3UCBoStW1InpIACCiiggAIKKKCAAgoooIACCiiggAJtEzAgbNuKOh8DQt8BBeoVMCCs19/eFVBAAQUUUEABBRRQQAEFFFBAAQUUUECBjgIGhB2JLNAwAQPChi2Yw22dgAFh65bUCSmggAIKKKCAAgoooIACCiiggAIKKKBA2wQMCNu2os7HgNB3QIF6BQwI6/W3dwUUUEABBRRQQAEFFFBAAQUUUEABBRRQoKOAAWFHIgs0TMCAsGEL5nBbJ2BA2LoldUIKKKCAAgoooIACCiiggAIKKKCAAgoo0DYBA8K2rajzMSD0HVCgXgEDwnr97V0BBRRQQAEFFFBAAQUUUEABBRRQQAEFFOgoYEDYkcgCDRMwIGzYgjnc1gkYELZuSZ2QAgoooIACCiiggAIKKKCAAgoooIACCrRNwICwbSvqfAwIfQcUqFfAgLBef3tXQAEFFFBAAQUUUEABBRRQQAEFFFBAAQU6ChgQdiSyQMMEDAgbtmAOt3UCBoStW1InpIACCiiggAIKKKCAAgoooIACCiiggAJtEzAgbNuKOh8DQt+BJglMAN4OLACmA48DdwBXAZcAj5UwmacAfwK8POnjScAW4EfATcA/AbtL6Ke/CQPCEjFtSgEFFFBAAQUUUEABBRRQQAEFFFBAAQUUqELAgLAKVdusU8CAsE59+84iMC0J6I5NKj0MjAbGJL++DZgHbM/S6KCy5wGfBCYmXw+B4yPAYQPKTQJ+WaCPwVUNCEvEtCkFFFBAAQUUUEABBRRQQAEFFFBAAQUUUKAKAQPCKlRts04BA8I69e07rUAIAkMAeBJwL/AG4AZgFPAa4FNA2F24LNn5l7bdgeVCO2EnYmjzauDvgPVJgfHA84BzgfcAv8rTwTB1DAhLxLQpBRRQQAEFFFBAAQUUUEABBRRQQAEFFFCgCgEDwipUbbNOAQPCOvXtO63ABcBlSeHZwJpBFV8HfD752pnAirQNJ+WOAn4AhN2BHwHelrF+keIGhEX0rKuAAgoooIACCiiggAIKKKCAAgoooIACCnRBwICwC8h20VUBA8KucttZToFVwAuBG4G5Q7QR3uOfJHcGLgUWZeznw8BfAz8Hji/pLsO0QzAgTCtlOQUUUEABBRRQQAEFFFBAAQUUUEABBRRQoCYBA8Ka4O22MgEDwspobbgkgXHAjuTozwuBi4dpdwmwGLgPCDsCszybgaOTY0XfmaViCWUNCEtAtAkFFFBAAQUUUEABBRRQQAEFFFBAAQUUUKBKAQPCKnVtuw4BA8I61O0zi8CpwLqkwsuTewaHqv8W4NLkg8nAtpSdTAfuSsqeDdyf7CZ8UXLk6BbgW8D/GeJo05RdjFjMgLAMRdtQQAEFFFBAAQUUUEABBRRQQAEFFFBAAQUqFDAgrBDXpmsRMCCshd1OMwicA/xrUv5k4PvD1J0PfCX57CTg9pR9/DZwfVL2IuDdQB/wKLALOCz5LAR57wLCcaRZnn0BYKdn795UxTo14+cKKKCAAgoooIACCiiggAIKKKCAAgoooIACFQgYEFaAapO1ChgQ1spv5ykEXg9cmZQ7EbhzmDovBZYnn83OsNtvIfCFpN4e4B7gTcDXgfDrZwIfA+YlZX5nQBCZYvikSv4MCNNQWkYBBRRQQAEFFFBAAQUUUEABBRRQQAEFFKhHwICwHnd7rU7AgLA6215u+feBTxcACEd99u/qqzogHNh+GPIs4NuDxn4ocEdyT+H3gOcVmNvgqh4xWiKmTSmggAIKKKCAAgoooIACCiiggAIKKKCAAlUIGBBWoWqbdQoYENap396+ywwIqz5idGD73wReOMyyhONFP5h89pTkrsIyVtCAsAxF21BAAQUUUEABBRRQQAEFFFBAAQUUUEABBSoUMCCsENemaxEwIKyFvfWdjgEmFJjlg8DupP6pwLrkn18OLBum3bcAlyafTQa2pez/+cB3krKfAv5omHrnAtckn70AuCVl+52KGRB2EvJzBRRQQAEFFFBAAQUUUEABBRRQQAEFFFCgZgEDwpoXwO5LFzAgLJ3UBksWGAfsAEYBFwIXD9P+EmAxcB9wVIYxjAV2AqOBTwJ/PEzdBcCXk89mArdm6GOkogaEJUHajAIKKKCAAgoooIACCiiggAIKKKCAAgooUJWAAWFVsrZbl4ABYV3y9ptFYFVy9OdKYN4QFcN7fCdwHLAUWJSlcSC0+xJgpCNG3w18AAiB3pOBX2TsY7jiBoQlQdqMAgoooIACCiiggAIKKKCAAgoooIACCihQlYABYVWytluXgAFhXfL2m0XgAuCyJJybBawdVPm1wNXJ184EVmRpHPi9JFgM1WYDawbVD7sYNwBHA98GwhjKegwIy5K0HQUUUEABBRRQQAEFFFBAAQUUUEABBRRQoCIBA8KKYG22NgEDwtro7TiDwMHAd4GTgM3JDsEQAoZjR8PRnyE8nJjcTxjuKRz8vBe4KPnidOCngwqEdkIoGI4OvRv4Q+DrwB7gmcDHkp2L4dcvTXYcZhj+iEUNCMuStB0FFFBAAQUUUEABBRRQQAEFFFBAAQUUUKAiAQPCimBttjYBA8La6O04o8CxwI1A+Ht4Hk4CwnCHYHhuS0K87UO02ykgDFWekuw8fHZS/xHgMeCw5Ne7gT8BPpVx3J2KGxB2EvJzBRRQQAEFFFBAAQUUUEABBRRQQAEFFFCgZgEDwpoXwO5LFzAgLJ3UBisUmAC8AzgXCDsBw46+O4AvAJckgd5Q3acJCEO9McBbgfOA3wCeBNyT7Bj8CHB7BXMzIKwA1SYVUEABBRRQQAEFFFBAAQUUUEABBRRQQIEyBQwIy9S0rRgEDAhjWAXH0MsCBoS9vPrOXQEFFFBAAQUUUEABBRRQQAEFFFBAAQUaIWBA2IhlcpAZBAwIM2BZVIEKBAwIK0C1SQUUUEABBRRQQAEFFFBAAQUUUEABBRRQoEwBA8IyNW0rBgEDwhhWwTH0soABYS+vvnNXQAEFFFBAAQUUUEABBRRQQAEFFFBAgUYIGBA2YpkcZAYBA8IMWBZVoAIBA8IKUG1SAQUUUEABBRRQQAEFFFBAAQUUUEABBRQoU8CAsExN24pBwIAwhlVwDL0sYEDYy6vv3BVQQAEFFFBAAQUUUEABBRRQQAEFFFCgEQIGhI1YJgeZQcCAMAOWRRWoQMCAsAJUm1RAAQUUUEABBRRQQAEFFFBAAQUUUEABBcoUMCAsU9O2YhAwIIxhFRxDLwsYEPby6jt3BRRQQAEFFFBAAQUUUEABBRRQQAEFFGiEgAFhI5bJQWYQMCDMgGVRBSoQMCCsANUmFVBAAQUUUEABBRRQQAEFFFBAAQUUUECBMgUMCMvUtK0YBAwIY1gFx9DLAgaEvbz6zl0BBRRQQAEFFFBAAQX+f3v3Ai7bUdcJ+0fCIQGTKEnkjiFARGAQgRBJBgMSREECSJRBEYIijsFx9BPEu1xUvKADgsCI3CUIcpGLCkQCAiMQROBTbgImZIZwE4IkMRACyTx/qJaetvfe3bvX6u7V/a7nOc85e/datareqt2nu3+7qggQIECAAAECBAYhICAcRDep5BwCAsI5sJxKoAcBAWEPqIokQIAAAQIECBAgQIAAAQIECBAgQIBAlwICwi41lbUOAgLCdegFddhmAQHhNve+thMgQIAAAQIECBAgQIAAAQIECBAgMAgBAeEgukkl5xAQEM6B5VQCPQgICHtAVSQBAgQIECBAgAABAgQIECBAgAABAgS6FBAQdqmprHUQEBCuQy+owzYLCAi3ufe1nQABAgQIECBAgAABAgQIECBAgACBQQgICAfRTSo5h4CAcA4spxLoQUBA2APqWhR5+UXJJecml1+cHDg8OezGyYEj1qJqKkGAAAECBAgQIECAAAECBAgQIECAwHwCAsL5vJy9/gICwvXvIzXcbAEB4Sb175VXJp95e/Khpybnvyi54rKvte6gQ5Jj7p8cd0Zy1AnJVTz9blLXawsBAgQIECBAgAABAgQIECBAgMBmCwgIN7t/t7F1PqHexl7X5nUSEBCuU28sUpeaKfiWByQXvGrvUq5/anLSmV+dWeggQIAAAQIECBAgQIAAAQIECBAgQGDtBQSEa99FKjingIBwTjCnE+hYQEDYMehKiqtw8Oy7JBe+Y/bbH3l8csrrhYSzizmTAAECBAgQIECAAAECBAgQIECAwMoEBIQro3fjngQEhD3BKpbAjAICwhmh1va0Wlb0TfeebebgZCNqJuHJr7Dc6Np2rooRIECAAAECBAgQIECAAAECBAgQ+KqAgNBI2DQBAeGm9aj2DE1AQDi0Hpus76fPSc66w/5bcbdzkqNP2P/1riRAgAABAgQIECBAgAABAgQIECBAoHcBAWHvxG6wZAEB4ZLB3Y7AhICAcOhD4q2nJ+c9b/+tOPb05MTn7P96VxIgQIAAAQIECBAgQIAAAQIECBAg0LuAgLB3YjdYsoCAcMngbkdAQLhBY+Dyi5KXXiu54rL9N+qgQ5LTPpUcOGL/ZbiSAAECBAgQIECAAAECBAgQIECAAIFeBQSEvfIqfAUCAsIVoLslgTEBMwiHPBw+++7k1bdZvAV3f3dyzVsvXo4SCBAgQIAAAQIECBAgQIAAAQIECBDoRUBA2AurQlcoICBcIb5bE0giIBzqMLj0o8mHn5G85zGLt+Cub06udcfFy1ECAQIECBAgQIAAAQIECBAgQIAAAQK9CAgIe2FV6AoFBIQrxHdrAgLCgY2BK65Izn128r7HJZec213lzSDszlJJBAgQIECAAAECBAgQIECAAAECBHoQEBD2gKrIlQoICFfK7+YEzCAczBi49GPJa26bfOGT3Vb54EOT+37SHoTdqiqNAAECBAgQIECAAAECBAgQIECAQKcCAsJOORW2BgICwjXoBFXYagFLjA6h+yscfNVxyZcv7b62x56enPic7stVIgECBAgQIECAAAECBAgQIECAAAECnQkICDujVNCaCAgI16QjVGNrBQSE6971tazoy6/X/czBUbvvdk5y9AnrrqB+BAgQIECAAAECBAgQIECAAAECBLZaQEC41d2/kY0XEG5kt2rUgAQEhOveWR9+ZvL2H+unltc/NTn5FclVPBX3A6xUAgQIECBAgAABAgQIECBAgAABAt0ICAi7cVTK+gj4VHp9+kJNtlNAQLju/f7KmySXnNt9LY88Pjnl9cmBw7svW4kECBAgQIAAAQIECBAgQIAAAQIECHQqICDslFNhayAgIFyDTlCFrRYQEK5z91/60eTlN+y+hjVz8KQzhYPdyyqRAAECBAgQIECAAAECBAgQIECAQC8CAsJeWBW6QgEB4Qrx3ZpAEgHhOg+D81+U/O39u6nhwYcmx9w/uekZyVG3t6xoN6pKIUCAAAECBAgQIECAAAECBAgQILAUAQHhUpjdZIkCAsIlYrsVgSkCAsJ1Hhb/9IfJ3//U4jW8xS8mt/yF5MARi5elBAIECBAgQIAAAQIECBAgQIAAAQIEli4gIFw6uRv2LCAg7BlY8QT2EBAQrvMQ6WoG4X9+UXLM/da5pepGgAABAgQIECBAgAABAgQIECBAgMAuAgJCw2PTBASEm9aj2jM0AQHhOvdYV3sQ3uf/JNe4wTq3VN0IECBAgAABAgQIECBAgAABAgQIEBAQGgNbJCAg3KLO1tS1FBAQrmW3jFXqlTdJLjl3/7U87CbJvT68/+tdSYAAAQIECBAgQIAAAQIECBAgQIDAygXMIFx5F6hAxwICwo5BFUdgTgEB4ZxgSz/9w89M3v5j+7/ttz8rucmP7P96VxIgQIAAAQIECBAgQIAAAQIECBAgsHIBAeHKu0AFOhYQEHYMqjgCcwoICOcEW/rpV1yRvPx6yRc+Of+tD712cp+PJQcdNP+1riBAgAABAgQIECBAgAABAgQIECBAYG0EBIRr0xUq0pGAgLAjSMUQ2KeAgHCfcEu97NKPJa86LvnypbPf9uBrJKd+KLnG9Wa/xpkECBAgQIAAAQIECBAgQIAAAQIECKylgIBwLbtFpRYQEBAugOdSAh0ICAg7QNx3EZdf9NX9BS+/ODlweHLYjZMDR0wvrkLC19x2tpmENXPwe94pHNx3x7iQAAECBAgQIECAAAECBAgQIECAwHoJCAjXqz/UZnEBAeHihkogsIiAgHARvf1ce+WVyWfennzoqcn5L0quuOxrpRx0SHLM/ZPjzkiOOiG5ysRTZC03et5zk/f+ZnLJP//Hux920+SWv5Qce7plRffTN64hQIAAAQIECBAgQIAAAQIECBAgsKYCAsI17RjV2reAgHDfdC4k0ImAgLATxhkLqZmCb3lAcsGr9r7g+qcmJ5351ZmF045LP5r8y1uSyz6dHHJ08o0nJde4wd7lOoMAAQIECBAgQIAAAQIECBAgQIAAgcEJCAgH12UqvIeAgNAQIbBaAQHhsvwrHDz7LsmF75j9jkcen5zy+p1DwtlLciYBAgQIECBAgAABAgQIECBAgAABAgMWEBAOuPNUfaqAgNDAILBaAQHhMvxrWdE33Xu2mYOT9amZhCe/4j8uN7qMersHAQIECBAgQIAAAQIECBAgQIAAAQJrISAgXItuUIkOBQSEHWIqqneBWuvx4UlOS3Jski8n+WCSFyZ5cpIvLliD709yepLbJTk6yeVJPprkTUmekuTdC5Y/7XIBYQ+o/6HIT5+TnHWH/d/pbuckR5+w/+tdSYAAAQIECBAgQIAAAQIECBAgQIDAoAUEhIPuPpWfIiAgNCyGInBMkr9JcqNW4UuTHJzkkPb1u5KckuSz+2hQlfHiJKeOXXtJkqu1P/XtK5I8IskT9lH+bpcICDsGnVrcW09Pznve/u907OnJic/Z//WuJECAAAECBAgQIECAAAECBAgQIEBg0AICwkF3n8pPERAQGhZDEKggsALAWyX5eJIHJXldkoOS/ECSP05SswtfneQe+2jQY5L8WrvuqUkel+SCVv5tkjwxyR2TVJhX08jm2MRuz9oICPckWvCEyy9KXnqt5IrL9l/QQYckp30qOXDE/stwJQECBAgQIECAAAECBAgQIECAAAECgxUQEA6261R8BwEBoaExBIGHJHlGq+hJSd46UekfTPKC9r27Jjl7zkad12YmvjHJnadc+/VtqdHDkvx2kl+cs/zdThcQdog5tajPvjt5deW8Cx53f3dyzVsvWIjLCRAgQIAAAQIECBAgQIAAAQIECBAYooCAcIi9ps67CQgIjY8hCNQegN+R5A1J7jKlwjWO/7ntS1jrSNY+gvMcX2hLlf5+W0Z02rV/n+S2Sf4wyU/NU/ge5woIO8ScWtSn3py87uTF73LXNyfXqomkDgIECBAgQIAAAQIECBAgQIAAAQIEtk1AQLhtPb757RUQbn4fD72F10hycVvu85FJHr9Dg2pp0DOSfCLJdeds9PuS3LztcfidU64dn0H44CTPnbP83U4XEHaIObUoMwj7FlY+AQIECBAgQIAAAQIECBAgQIAAgY0XEBBufBdvXQMFhFvX5YNr8O3G9vyr/QVrn8Fpx8OSPKU9cFSSC+doac0IfFI7f3wPwvr5qLUp/6DtQfi2NpPxS3OUvdepAsK9hBZ9vIs9CA8+NLnvJ+1BuGhfuJ4AAQIECBAgQIAAAQIECBAgQIDAQAUEhAPtONXeUUBAaHCsu8CpSV7ZKlkbwP3DDhW+d5KXt8duleQ9czTsoCS/1ZYXrX/XcUmSq7U/NSvxOUkem+Tzc5Rbp34lANzruPLKmU7bqxiP7yTw1tOT82r12X0ex56enFhDwEGAAAECBAgQIECAAAECBAgQIECAwDYKCAi3sdc3u80Cws3u301o3Q8lObM15LgkH96hUd+V5Kz22ElJ3jpn4ysYfGDbY/CwiWv/NcmfJvm1JJ+es9yZkj8B4Zyq857+6XOSG5cD9gAAIABJREFUs+4w71VfO/9u5yRHn7D/611JgAABAgQIECBAgAABAgQIECBAgMCgBQSEg+4+lZ8iICA0LPoQqH36nr1AwXdP8pp2/TICwqOTvDjJnZP8dZLHtBmIV09yYpLfSVLh5LlJTk5ywQJtm7zUEqMdYu5YVM3QfNO9kwteNf/drn9qcvIrkqt4upwfzxUECBAgQIAAAQIECBAgQIAAAQIENkNAQLgZ/agVXxPwibfR0IdAlwHhMpYY/csktb/hG5N855RlQa+V5L1JKkh8fptp2JWbgLAryb3Kufzi5Oy7JBe+Y68zv/b4kccnp7w+OXD47Nc4kwABAgQIECBAgAABAgQIECBAgACBjRMQEG5cl259gwSEWz8EegE4JMkiicrnklzeana7JKNEp0K8V+9Q44cleUp77KgkF87YspsneV87915Jdppi9vtJfjbJpUlqCdKZlg6doQ4CwhmQOjulQsK3PGC2mYQ1c/CkM4WDneEriAABAgQIECBAgAABAgQIECBAgMBwBQSEw+07NZ8uICA0MtZd4BpJLk5SewQ+Msnjd6jwU5OckeQTSa47R6NOS/KSdv4tx8LCySJ+IsnT2jevk+STc9xjt1MFhB1BzlxMLTf6mb9LPvTU5PwXJldc9rVLDz40Oeb+yU3PSI66vWVFZ0Z1IgECBAgQIECAAAECBAgQIECAAIHNFhAQbnb/bmPrBITb2OvDa/ObknxHktcnOWVK9WscfzjJjZM8L8npczTx+5K8rJ2/2wzFRyV5dDuvZhD+2xz32O1UAWFHkPsq5vKLkkvOS2pmYS0jetixyYEj9lWUiwgQIECAAAECBAgQIECAAAECBAgQ2FwBAeHm9u22tkxAuK09P6x2PyTJM9qynicmOWei+vdL8qL2vbsmOXuO5h2T5CPt/FpetJYZnTy+Lsk/tACy/r71HOXvdaqAcC8hjxMgQIAAAQIECBAgQIAAAQIECBAgQGDFAgLCFXeA23cuICDsnFSBPQhcNck7k9wqyQVthmCFgLXsaC0RWuFhTfuq/QlrFuDkUTP/agZgHceOBYKj816Z5NT2xfPbTMFzk9R9b5/kD5Ic3x6v2Yk1S7GrQ0DYlaRyCBAgQIAAAQIECBAgQIAAAQIECBAg0JOAgLAnWMWuTEBAuDJ6N55T4EZJ3pCk/q7j0hYQHtq+fldbfvSzU8rdKyA8Oslrktxu7Noq/2otJBx9+/eS/Nyc9d7rdAHhXkIeJ0CAAAECBAgQIECAAAECBAgQIECAwIoFBIQr7gC371xAQNg5qQJ7FDg8ySOS3LfNBLwiyQeT/GmSJyf54g733isgrMtqtmDNDvyBJN+W5MgkX07ysSRvSfJHSf5XD20TEPaAqkgCBAgQIECAAAECBAgQIECAAAECBAh0KSAg7FJTWesgICBch15Qh20WEBBuc+9rOwECBAgQIECAAAECBAgQIECAAAECgxAQEA6im1RyDgEB4RxYTiXQg4CAsAdURRIgQIAAAQIECBAgQIAAAQIECBAgQKBLAQFhl5rKWgcBAeE69II6bLOAgHCbe1/bCRAgQIAAAQIECBAgQIAAAQIECBAYhICAcBDdpJJzCAgI58ByKoEeBASEPaAqkgABAgQIECBAgAABAgQIECBAgAABAl0KCAi71FTWOggICNehF9RhmwUEhNvc+9pOgAABAgQIECBAgAABAgQIECBAgMAgBASEg+gmlZxDQEA4B5ZTCfQgICDsAVWRBAgQIECAAAECBAgQIECAAAECBAgQ6FJAQNilprLWQUBAuA69oA7bLCAg3Obe13YCBAgQIECAAAECBAgQIECAAAECBAYhICAcRDep5BwCAsI5sJxKoAcBAWEPqIokQIAAAQIECBAgQIAAAQIECBAgQIBAlwICwi41lbUOAgLCdegFddhmAQHhNve+thMgQIAAAQIECBAgQIAAAQIECBAgMAgBAeEgukkl5xAQEM6B5VQCPQgICHtAVSQBAgQIECBAgAABAgQIECBAgAABAgS6FBAQdqmprHUQEBCuQy+owzYLCAi3ufe1nQABAgQIECBAgAABAgQIECBAgACBQQgICAfRTSo5h4CAcA4spxLoQUBA2AOqIgkQIECAAAECBAgQIECAAAECBAgQINClgICwS01lrYOAgHAdekEdtllAQLjNva/tBAgQIECAAAECBAgQIECAAAECBAgMQkBAOIhuUsk5BASEc2A5lUAPAgLCHlAVSYAAAQIECBAgQIAAAQIECBAgQIAAgS4FBIRdaiprHQQEhOvQC+qwzQICwm3ufW0nQIAAAQIECBAgQIAAAQIECBAgQGAQAgLCQXSTSs4hICCcA8upBHoQEBD2gKpIAgQIECBAgAABAgQIECBAgAABAgQIdCkgIOxSU1nrICAgXIdeUIdtFhAQbnPvazsBAgQIECBAgAABAgQIECBAgAABAoMQEBAOoptUcg4BAeEcWE4l0IOAgLAHVEUSIECAAAECBAgQIECAAAECBAgQIECgSwEBYZeayloHAQHhOvSCOmyzwHYGhJdflFxybnL5xcmBw5PDbpwcOGKbx4G2EyBAgAABAgQIECBAgAABAgQIECCwxgICwjXuHFXbl4CAcF9sLiLQmcD2BIRXXpl85u3Jh56anP+i5IrLvoZ40CHJMfdPjjsjOeqE5CqemjobYQoiQIAAAQIECBAgQIAAAQIECBAgQGBhAQHhwoQKWDMBn8KvWYeoztYJbEdAWDMF3/KA5IJX7d3B1z81OenMr84sdBAgQIAAAQIECBAgQIAAAQIECBAgQGANBASEa9AJqtCpgICwU06FEZhbYPMDwgoHz75LcuE7Zsc58vjklNcLCWcXcyYBAgQIECBAgAABAgQIECBAgAABAj0KCAh7xFX0SgQEhCthd1MC/y6w2QFhLSv6pnvPNnNwclDUTMKTX2G5UT8sBAgQIECAAAECBAgQIECAAAECBAisXEBAuPIuUIGOBQSEHYMqjsCcApsdEH76nOSsO8xJMnb63c5Jjj5h/9e7kgABAgQIECBAgAABAgQIECBAgAABAh0ICAg7QFTEWgkICNeqO1RmCwU2OyB86+nJec/bf7cee3py4nP2f70rCRAgQIAAAQIECBAgQIAAAQIECBAg0IGAgLADREWslYCAcK26Q2W2UGBzA8LLL0peeq3kisv2360HHZKc9qnkwBH7L8OVBAgQIECAAAECBAgQIECAAAECBAgQWFBAQLggoMvXTkBAuHZdokJbJrC5AeFn3528+jaLd+fd351c89aLl6MEAgQIECBAgAABAgQIECBAgAABAgQI7FNAQLhPOJetrYCAcG27RsW2RGBzA8JPvTl53cmLd+Nd35xc646Ll6MEAgQIECBAgAABAgQIECBAgAABAgQI7FNAQLhPOJetrYCAcG27RsW2RGBzA0IzCLdkCGsmAQIECBAgQIAAAQIECBAgQIAAgc0XEBBufh9vWwsFhNvW49q7bgKbGxB2sQfhwYcm9/2kPQjXbdSqDwECBAgQIECAAAECBAgQIECAAIEtExAQblmHb0FzBYRb0MmauNYCmxsQFvtbT0/Oe97+O+DY05MTn7P/611JgAABAgQIECBAgAABAgQIECBAgACBDgQEhB0gKmKtBASEa9UdKrOFApsdEH76nOSsO+y/W+92TnL0Cfu/3pUECBAgQIAAAQIECBAgQIAAAQIECBDoQEBA2AGiItZKQEC4Vt2hMlsosNkB4ZVXJm+6d3LBq+bv2uufmpz8iuQqnqbmx3MFAQIECBAgQIAAAQIECBAgQIAAAQJdCggIu9RU1joI+OR9HXpBHbZZYLMDwurZyy9Ozr5LcuE7Zu/nI49PTnl9cuDw2a9xJgECBAgQIECAAAECBAgQIECAAAECBHoSEBD2BKvYlQkICFdG78YEviKw+QHhKCR8ywNmm0lYMwdPOlM46AeEAAECBAgQIECAAAECBAgQIECAAIG1ERAQrk1XqEhHAgLCjiAVQ2CfAtsREH4lCr0y+czfJR96anL+C5MrLvsa2cGHJsfcP7npGclRt7es6D4Hk8sIECBAgAABAgQIECBAgAABAgQIEOhHQEDYj6tSVycgIFydvTsT+Eps9tXs7Ct/bc9x+UXJJed9dfnRWkb0sGOTA0dsT/u1lAABAgQIECBAgAABAgQIECBAgACBQQkICAfVXSo7g4CAcAYkpxDoUWA7A8IeQRVNgAABAgQIECBAgAABAgQIECBAgACBrgUEhF2LKm/VAgLCVfeA+2+7gIBw20eA9hMgQIAAAQIECBAgQIAAAQIECBAgsPYCAsK17yIVnFNAQDgnmNMJdCwgIOwYVHEECBAgQIAAAQIECBAgQIAAAQIECBDoWkBA2LWo8lYtICBcdQ+4/7YLCAi3fQRoPwECBAgQIECAAAECBAgQIECAAAECay8gIFz7LlLBOQUEhHOCOZ1AxwICwo5BFUeAAAECBAgQIECAAAECBAgQIECAAIGuBQSEXYsqb9UCAsJV94D7b7uAgHDbR4D2EyBAgAABAgQIECBAgAABAgQIECCw9gICwrXvIhWcU0BAOCeY01cicI0kd0pyuyS3bX9/U6vJY5I8uqNaXTvJI5PcM0mV//kk703y3CTPTPKVMK/jQ0DYMajiCBAgQIAAAQIECBAgQIAAAQIECBAg0LWAgLBrUeWtWkBAuOoecP9ZBO6c5A07nNhVQFjh42uTHNXuc0mSQ5NctX19VpJ7JblslgrPcY6AcA4spxIgQIAAAQIECBAgQIAAAQIECBAgQGAVAgLCVai7Z58CAsI+dZXdlUAFhC9L8s6xP09Icp0kXQSEX5/kA628+vuBSd6R5GpJHpqk7nUgydOSPKyrRrVyBIQdgyqOAAECBAgQIECAAAECBAgQIECAAAECXQsICLsWVd6qBQSEq+4B959F4OAkX5448SNJjukoIPz1JL/SlhS9ZZLzJu71i0ke1+pwiyQfnKXSM54jIJwRymkECBAgQIAAAQIECBAgQIAAAQIECBBYlYCAcFXy7tuXgICwL1nl9i3QZUB4fttz8NlJfnRKxQ9L8vEk9fdjkzyqw8YJCDvEVBQBAgQIECBAgAABAgQIECBAgAABAgT6EBAQ9qGqzFUKCAhXqe/eiwh0FRDerC0vWnW5X5IX71Cpv0py9yRvS3LiIhWfuFZA2CGmoggQIECAAAECBAgQIECAAAECBAgQINCHgICwD1VlrlJAQLhKffdeRKCrgPC0JC9pFanlQ9+/Q6V+N8nPJbkoSe1Z2NUhIOxKUjkECBAgQIAAAQIECBAgQIAAAQIECBDoSUBA2BOsYlcmICBcGb0bLyjQVUD4U0me1OpSwV8FgNOOn07yxPbA4UkumbH+XwkA9zquvHKm0/YqxuMECBAgQIAAAQIECBAgQIAAAQIECBAg0IOAgLAHVEWuVEBAuFJ+N19AoKuA8JeS/Garx4EkX9qhTg9N8vT22PXanoSzVF/yN4uScwgQIECAAAECBAgQIECAAAECBAgQIDAMAbnKMPpJLfcQMJANkT4EHpzk2QsUXHv9vWaP64cSEO7FIEDcS8jjBAgQIECAAAECBAgQIECAAAECBAgQWB8Bucr69IWaLCBgIC+A59IdBYYUEPa9xOgmDpNRqOn5YxN7d7PaZKxuVn9uamuM003t2c1rl7G6eX26iS0yTjexVzevTcbp5vXpprbIWN3Unt2sdhmnm9WfWkOAwJIFfMC/ZPAtud0hSWqfvv0en0ty+R4XdzWD8LQkL2n3ukWS9+9w399N8nNtj8Laq3CbDy++trn3h9V2Y3VY/bWttTVOt7Xnh9duY3V4fbaNNTZOt7HXh9dm43R4fbatNTZWt7Xnh9Vu43RY/aW2BAismYCAcM06RHVmFugqILxZkg+0u94vyYt3qMFfJamlT9+W5MSZa7mZJ3rxtZn9uomtMlY3sVc3r03G6eb16aa2yFjd1J7drHYZp5vVn5vaGuN0U3t289plrG5en25ii4zTTexVbSJAYGkCAsKlUbtRxwJdBYRVrfOTfFOSZyV5yJR6fl2STyQ5LMljkzyq47YMrTgvvobWY9tbX2N1e/t+SC03TofUW9tdV2N1u/t/KK03TofSU9tdT+N0u/t/SK03VofUW9tbV+N0e/teywkQ6EBAQNgBoiJWItBlQPjrSX4lyaVJbpmkyh4/Hpnkd5J8OUktQ/rBlbR4fW7qxdf69IWa7C5grBohQxAwTofQS+pYAsaqcTAEAeN0CL2kjsapMTAUAWN1KD213fU0Tre7/7WeAIEFBQSECwK6fGkC10xy8Njd3pnkhkken6T2BxwdX0hyyUStHj026+/YKQFg7SlYy4xeJ8n7kjwoyd8nuVqbUfjE9u+nJXnY0lq8vjfy4mt9+0bN/l8BY9WIGIKAcTqEXlJHAaExMBQBz6lD6antrqdxut39P6TWG6tD6q3tratxur19r+UECHQgICDsAFERSxEYzRjc62bPTfLgOQPCOv12SV6b5Kh27cVJDk1yoH19VpJ7JblsrwpsweNefG1BJ29IE43VDenIDW+GcbrhHbxBzTNWN6gzN7gpxukGd+4GNc043aDO3PCmGKsb3sEb0jzjdEM6UjMIEFiNgIBwNe7uOr9A3wFh1ejaSX4+yT3b7MSajfieJBU61v6EV8xf7Y28wouvjezWjWyUsbqR3bpxjTJON65LN7ZBxurGdu1GNcw43aju3NjGGKcb27Ub1zBjdeO6dCMbZJxuZLdqFAECyxIQEC5L2n0IECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIrIGAgHANOkEVCBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECCxLQEC4LGn3IUCAAAECBAgQIECAAAECBAgQIECAAAECBAgQILAGAgLCNegEVSBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECCwLAEB4bKk3YcAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAGggICNegE1SBAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwLIEBITLknYfAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAmsgICBcg05QBQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQLLEhAQLkvafQgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAisgYCAcA06QRUIrEjgGknulOR2SW7b/v6mVpfHJHl0R/W6dpJHJrlnkir/80nem+S5SZ6Z5Mo97nOTdv3dklw3yUVJ3pXk6Ule2lEdFbP+AocneXiS05Icm+TLST6Y5IVJnpzki/towo2SnDfHdc9J8iMT59f3Tp+hjANJvjTDeU4ZtkAf47RE6vn4UTPQHJfkw7uc5/l0BsQtOaWvsXr9JPdO8p1JbpOkvq7jE0neluSPk7x+F2PPqVsyAJP0NQZL0GvP7RlHfbe0j3HqebLvXtvO8vsYq15/budY6rPVXY9T7+f77C1lEyCwNQICwq3pag0l8B8E7pzkDTu4dBUQVvj42iRHtftckuTQJFdtX5+V5F5JLtuhHvdI8uIkFWbWUeHgYUkOal8/O8lDZggZdf+wBY5J8jdJ6g1AHZcmOTjJIe3rCoxPSfLZOZt5wyR/t8c1NV6/vp3zk0meOnH+6MPsLyT53C5l1YdBFWo6Nlegr3FaYqMPaC5PcuEuhHdI8hHPp5s7yDpqWV9jtZ5Tz08y/v6inq/r66uP1f1ZSX58h+dEz6kddfKaF9PXGKxme+255p0/oOr1MU49Tw5oAAyoqn2MVa8/BzQABlLVPsap9/MD6XzVJEBgvQUEhOvdP2pHoE+BCghfluSdY3+ekOQ6SboICCtU+UArr/5+YJJ3JLlakocmqXvVrKqnJXnYlIbWLLF/TPJ1Sf42yY+2GWMVEP5ckl9r1/x8kt/tE0rZKxWoILACwFsl+XiSByV5XQuJf6DNRqnfRHx1kgqUuz5qduJ/azNfr5fkXyduMPowu2bEPrjrmytvMAJ9j9NRQPjGJPXcPe/h+XResc09v8+xOvot7rOTPK89V3+sPV9/S5LHtdmFpfsbSX51CrPn1M0de6OW9TkGvfbc/PGzrBb2NU49Ty6rB7fnPn2N1RL0+nN7xlHfLe1znO5Vd+/n9xLyOAECWy8gINz6IQBgiwXqRdrkjKaaeVK/2dVFQPjrSX6lBSu3nLKU4y+2DwurDrdo4d94d/xJkh9uy5LdfEow80dtBkLNKqw32/POHtvirh9U02uG6DNajU9K8taJ2v9gkhe07901SX0w3dVRswfrw+1rJnl+C7kny/Zhdlfawy6n73G66Ac0nk+HPb66rH2fY7XCmVrGtn7xaNpR7zv+Ksn3JKkVBb4xSc2+Hj88p3bZ2+tZVp9j0GvP9ezzIdaqr3HqeXKIo2G969zXWK1We/253n0/pNr1OU53c/B+fkijRF0JEFiZgIBwZfRuTGAtBboMCGuZsdpzsJYBrdl/k0fNBKwZYfX3Yyf216pZg//SliSrfbfq8cljfL35Kr/u49g8gTcl+Y62HO5dpjSv/h/757YvYc1YmWU/wFmVfijJme3kmrVVs7cmDx9mz6q52ef1PU4X+YDG8+lmj715W9f3WN2rPjXz+8/aSbX/cc0QHz88p+4lOPzH+xyDXnsOf3ysSwv6HKd7tdHz5F5CHh8X6HOsev1prHUl0Oc43a2O3s931YPKIUBgowUEhBvdvRpHYG6BrgLCm7XlRasC92v7CE6rTM0kuHuStyU5ceyE707ymvb1CbvsE/e+JDW78IVJaiaZY7MEau/Ji9vydI9M8vgdmlf7Ap7RZptet0OCmo1YoeSHknzzDuX6MLtD8IEWtYxxusgHNJ5PBzqweqj2MsbqXtU+Nckr20m3b0uPj1/jOXUvwWE/3ucY9Npz2GNjnWrf5zidpZ2eJ2dRck4J9D1Wvf40zroQ6Huc7lZH7+e76EFlECCw8QICwo3vYg0kMJdAVwHhaUle0u5cy4e+f4da1N6BtZ9gLRNaS+6Mjocn+b32Rc1+uXSH62sWQv2Wbe1V+K1ztdTJQxC43diHx7W/YO0zOO2oPSyf0h44KsmFHTTuxkk+nKT+n/yFJL+zQ5mjD7M/2pbTrVmzX0xSsxjqDUnVqwJGx+YKLGOcjj6g+XSST7ZlHGt55guS1G/kVkg+ORPL8+nmjrn9tmwZY3Wvuv1+kp9tz5O1xGj9/z9+eE7dS3DYj/c5Br32HPbYWKfa9zlOZ2mn58lZlJxTAn2PVa8/jbMuBPoepzvV0fv5LnpPGQQIbIWAgHArulkjCcws0FVA+FNJntTuWsHf5AeAowr9dJInti8Ob3sS1ZejN8a1r+CRu9T+CUl+Jslnkhw9cyudOBSB8d+gvnWSf9ih4vdO8vL22K2SvKeDBv5Gkl9O8qUkN2yzE6cVO/owux6rwKbG+hFJao/POiosrDH6tA7qpIj1FFjGOB19QFMCV7Q9WWucXbWRXNn2dK19XycPz6frOW5WUatljNXd2nVse36u3ySvfTEfNOVkz6mrGBnLu2efY9Brz+X146bfqc9xuped58m9hDw+LtD3WPX603jrQqDvcbpTHb2f76L3lEGAwFYICAi3ops1ksDMAl0FhL+U5DfbXQ+0kGVaJR6a5Ontgeu1PQnry/pePVazY26wS+3rHnWvCmEOmbmVThyKwPieAce1GX3T6v5dSc5qD5yU5K0LNrDCvZoBeP0kr0hyn13K++8tGPyLJDWLsELC+vD7e5LUDNmbtGtrputoVu2C1XP5mgksY5w+IEk9R9Z4PC/J5UmulqT2xnxc+w3yYnlE+wWLcSLPp2s2YFZYnWWM1Z2ad/Ukb25jtX6pp37po/6Pnzw8p65wgCzh1n2OQa89l9CBW3KLPsfpboSeJ7dkgHXYzL7HqtefHXbWFhfV9zidRuv9/BYPOE0nQGB+AQHh/GauILAqgQcnefYCN6+9/kb7+u1UjIBwAWCXfkWgy3G6ijcT1YbvTVKBXx31G4+jf8/bxbXc6TuS3KgFjvVb4TXTy7F6gU0YpyPFQ9syo7Wf2yXtlyo+N0YsIFz9eFukBpswVmum64vbL1tUuH3PsV/qmMfGc+o8Wut5bp//rwsI17PPh1irPsfpTh6eJ4c4UlZf51WMVa8/V9/vQ6vBKsap9/NDGyXqS4DASgUEhCvld3MCcwl0+SHhTjfuKiC0zNNcXbtRJ3c5Tle1HMmftw+ya3bLMW1W4H476ceS/HG7uPZfeOd+C3JdpwKbME7HQe6a5K/bN2ofrpeNPWiJ0U6HztILG/pYrd/gPjPJf2mrCfzggrOpPacufQh2esM+/1/32rPTrtrqwvocp9NgPU9u9XBbqPHLHquTlfX6c6Hu25qLVzFOvZ/fmuGloQQIdCEgIOxCURkEliNQS2jWPn37PWpGSf3m/m5HVwFhfUA9Wk7xFknev8NNawnGn2v7ttVehaPj4Ul+r33xdUku3eH6P0tSSzf+Y5Jv3S+M6zoV6HKcrmJD82u1pUJradxawnbanm7zgN1ybE9Ey4zOI9fvuUMfp5M69TxZswfrqOfU0fNnfe35tN+x1HfpQx6r9aH385Pcv/2iRS1V9qIFwTynLgi44sv7/H/da88Vd+4G3b7PcTrJ5HlygwbOCpqyzLE6rXlef66g0wd4y2WPU+/nBzhIVJkAgdUKCAhX6+/uBNZNoKuA8GZJPtAad7+2tNi0tv5Vklr69G1JThw74bvHlkM9Icnf7QD1viQ3T/LCJDUrwbFZArWX38VJDkryyCSP36F5T01yRpJPJLnuggQVrlRwXUuB3jTJuQuW58PsBQEHcPkqxukky24f0Hg+HcAgWlIVlzlWx2fE1N6sP9z+r160qZ5TFxVc7fV9jkGvPVfbt5t09z7H6biT58lNGjVUmDUpAAAa6klEQVSracuyxupOrfP6czX9PrS7Lnucej8/tBGivgQIrFxAQLjyLlABAmsl0FVAWI06P8k3JXlWkodMaWW9oahA57Akj03yqLFz6rF/SXL1JL+W5NenXF9LP1Z96/jRBfdnXKtOUJn/R+BNSb4jyeuTnDLFpv4f+3CSGyd5XpLTF/SrYLs+ZNzpfvMWX2P/Ge2i45P8/bwFOH8QAssep5Mo9bPxuvbN70/yUs+ngxg3q6jkMsZqXx96l5fn1FWMmm7v2ecY9Nqz277a5tL6HKfl6nlym0dXt23ve6zuVluvP7vty00ubZnj1Pv5TR5J2kaAQC8CAsJeWBVKYLACXQaEFerV8oy1PGj9xv8ozBvh1Iyw32nLjtUypB+cUPuTNuPg422WYC2ROn6MZo3VDLMKCz87WHUV301g9GFwzeirWabnTJxcM1RHS9bVPhhnL8B5xyRvbtfXZup/ukdZ9X9o1Wun48g2+7XCy4+2cXrFAvVz6foK9DlO9xpntQTlG5N8e5J/S3KDJP/q+XR9B8uKa9bnWK2m1YfeL0hSz81fav+Pz7qs6F5j3XPqigdPR7fvcwx67dlRJynm338ZoY/Xn54nDbAuBfp6Tt3r/2SvP7vsxc0vq69xOinn/fzmjyUtJECgBwEBYQ+oiiQwIIFrtg/zRlV+Z5IbtqUca5nF0fGFsf2tRt979Nisv2OnBIC1p2D99tZ1ktRSoA9qs6eu1mYAPDFJ/ftpSR42xazKrL0FazZhhTb1ovJD7evaU6vuX89hP9+WhBwQu6rOIXDVJDUub5XkgjZDsELAWna09huq2XlHJHl1kntMKXevcTp+yXNa+RcmuV6Sy/ao5wOTfF+SM9sY/VQ7v2a+1rKO9TN0XPte7cE164fkc/A4dU0E+hynd0ryq0lqfP5NC5ur2bVP5slJfivJ7ZvDTs+Hnk/XZKCsQTX6HKv1oXf9ck8t+V3hYP2ixYvnaLPn1DmwBnzqImNwr//TvfYc8MBYs6r3NU49T65ZR29Adfoaq15/bsDgWKMm9DVOJ5vo/fwadbqqECAwHAEB4XD6Sk0J9CEwmjG4V9nPTfLgiZP2+pCmTq8NqV+b5Kh2bc32O7R9sF3fOivJvXYJYirwqQ8Xa936OmoWYS1JWm+u66gXgLW86G6zuPZqm8fXX+BGSd6QpP6uo2alVkBYY6mOd7XlR6fNIp1lnFYZh7clb2usPSnJT8/AUj8Tzx47r2ZvVZj+DWNjtELGn01SM14dmy3Q1zi9cxv/I73Pt5mC9UF4hYR11MzU307yy7sQez7d7PE3T+v6GqsVWNds1jouT1K/bLHbUc+z47844Tl1nl4c9rn7HYOz/J/uteewx8Y61b6Pcep5cp16eHPq0sdY9fpzc8bHurSkj3E63jbv59elp9WDAIHBCQgIB9dlKkygU4G+A8Kq7LXbLL97ttmJFaC8J0mFjrU/4V5LLt6kXf9dbVZXhYw1o+yPJvbZ6hRGYWsnUC/4H5HkvklqNlSNm1qWtpYBfXKSL+5Q41k+TKxLf7yNqfr3t7bZq3sh1NK2D2hLn968BeEVYNcYrX0Rax/DGqfn7VWQxzdGoI9xWr9gUcFJLbFbM2mPbrNmKyivsVUzrJ8+45j1fLoxQ23hhvQxVic/TNyrkj/SftFndJ7n1L3ENuvx/YzBWf9P99pzs8bKKlvT9Tj1PLnK3tzse3c9Vr3+3OzxsqrWdT1Ox9vh/fyqetV9CRAYvICAcPBdqAEECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEZhcQEM5u5UwCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECgxcQEA6+CzWAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwOwCAsLZrZxJgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYPACAsLBd6EGECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEJhdQEA4u5UzCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECAxeQEA4+C7UAAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQKzCwgIZ7dyJgECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIHBCwgIB9+FGkCAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBgdgEB4exWziRAgAABAgQIECBAgAABAgQIECBAgAABAgQIECAweAEB4eC7UAMIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIzC4gIJzdypkECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEBi8gIBx8F2oAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgdkFBISzWzmTAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAwOAFBISD70INIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIDC7gIBwditnEiBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEBi8gIBw8F2oAQQIECBAgAABAgQIzCBw5yRvaOd5HzQD2Ngpz0lyepLnJnnwfJc6uwOB3cZu9cezk5yf5Eb7uNei1+/jli4hQIAAAQIECBAgQGAdBLwxXodeUAcCBAgQIECAAAECmy/w6CSPWmFAJyDc/xhb14Cw+rT+fCRJ1XFTDwHhpvasdhEgQIAAAQIECBBYoYCAcIX4bk2AAAECBAgQIEBgiwQEhMPt7HUNCEdj6o0tKByu8O41PyHJ89op3zJx6qIzABe9flPNtYsAAQIECBAgQIDAxgsICDe+izWQAAECBAgQIECAwFoICAjXohv2VQkB4b7YlnLRogHfotcvpZFuQoAAAQIECBAgQIBA9wICwu5NlUiAAAECBAgQIECAwH8UEBAOd1QICNe37xYN+Ba9fn1l1IwAAQIECBAgQIAAgV0FBIQGCAECBAgQIECAAAECyxDYLSCc3GPtpkl+Kcl3JblWkn9J8uokVcYFu1S2ll/81SSnJPmGJB9L8pdJfiPJzZO8oV270/ugQ5P8eJLTktwyyRFJLkzytiT/M8lrdrj3le3735nkA0l+Jcn3Jrlukn9NcnaSX2+P7WZdDv81yX9u7b4syT8leUmSpyT5tykXT4Z335/kvyX51iTVng8meXaSJye5YpebPyDJw9p1dV6145lJ/rhdf3qS5yapQGnacZMkP5PkrklumOSgJOcneW2S/5Hkf0+5aDKcul2Sn0/yHUmObH398mb32bHrb5TkvD0G7Y/MsC9hja0aT1dNcu8kr9ylzOq/6td/TlLjc3R8U5JTk9wjyXFJrp+kxkO196xd2l7X/02SOyV5TJLfTPLfk/xgK//rk9R4qnPm2YOwfmZ+NsnxSQ5Lcm6SP03ye0m+MEMfTCPY78/FMp5X3IMAAQIECBAgQIAAgX0KCAj3CecyAgQIECBAgAABAgTmEpg1ILxLC2oq3Lg4ydVbgFM3q8Cv9mObFhJ+T5IKkw5ptbqkXVfhxseT/HKSZ7XHpr0PqnCnwsT6u44KeS5KUkHN6HhaC9EmGz4KCH80yeOSXCfJ55N8uYU0dX6FM9+3Q8hYAVWV/WNjBVf9q+0Ht+9VUPjdLXQbv/94QFjX/GQLAqvuFZKOjtrDrkK+yaMsKgisQG3U7go1q90V8r0wSQWVuwWED20B5oFWRp1fIWPVv46qSwWXfz1x8/GAsALhakuV8bkkh7f71yXvTXKHJNW+OiqA/Ltm+3VJLm9B7njxP53kRVPaO/mtv2hhboWwP7DD+WVUweCxLaSuQG90jEK+0deTda+v75nkf00pe3Tt77RQ9KQkX2rj/pr7CAgf34Lgqm/1Yf0M1diq410tOB8PWuv7e80gXOTnYgZ+pxAgQIAAAQIECBAgsCoBAeGq5N2XAAECBAgQIECAwHYJzBoQVoDx5jaTrGaxXS3JfZI8o4VGf5LkQRN0N2ghUs34+4ckFVi9vQVMd2uz4CosGQVmk++D6vsVoNTMtNe3EKiur6CrgrIK/h7bApeaJfcHE/cfBYQVBtWfCvpe10LGCjSr7rdqQVnNTPzoxPVPTFKB1ifbbLIKtmrmYoVlNZuwZuDdJsk7k9x+YibgKCAstwrLfqEFfhXKHZXkt8eCx5pZWe0bP2rW2qg9f9ju/+nW7mrro1qbymjaDMLqmz9vId3vt5mWo9mC39xm/1XwVvUpg/GZhKNw6tIWhFbflvP/SXKNFlo+oTnUDL5fm6j7aEy9sc2y289P1P1akFh9XcFuBWuTxx3bmKzv10zJmpU3Osqs6luzDz/SguEK5W7bLCu4rmC7Zh1WaDx+jALCUfD5U60udV71XY2rGgezzCAswxovFZI/vNWpwvEKdqt/KzivfrrvRB12CwgX/bnYT3+4hgABAgQIECBAgACBJQkICJcE7TYECBAgQIAAAQIEtlxg1oCwlgGtZSonl8Os8ORJLWSpILBmWo2OpyY5I8lnktwiyacmrP9TC9dGM9wm3wfVzKtHtPCsZumNlz0qqmb/vSxJhWe1dOj4OaOA8ItJvi3J+yfuX0tZ1vdq2cyqa83yGx1Vtwo1KxSqWXL/OGWc1Gy69yWpILTqUSHQ6BgFhPX1TstqviNJLd9ZQWWFp6OjAqSajVn1mha81nm/1ULH+vdkQFjhbYVltazmQ8ZmaE424RVJ7tWCqgodR8conJpW9uicCh1rycwPj83uHD3WRUBYBp9ogWgt7/r0Kf5/1JaerVmAtfzprEfN/qxQt5Z7fWCS509cOD77sHxetUPBswSEdWkFpTUDd/Jnp/qm+r6OCqxr9uVkH9RysBWQjx+L/lzM6uQ8AgQIECBAgAABAgRWICAgXAG6WxIgQIAAAQIECBDYQoFZA8LaQ61m300etddbhRh1VAg4CuHqPU2FdhVy1T5utU/ctOMFbX+3emz8fdD49bVv4F/tcP1o2cYKJyvIO2fsvFFAeGaSH97h+qpbLaNZIebRY+fUDLkKzV6cpGaz7XTUHoK1t2DthVhh6OgYBYQ1i60Cnmn7DNbMu1oWs2ZFfvvYtRVKVXhXRy0lWSHc5FEzKCtAqyBtMiCsffsqrKyZjxWajhwmy6g9HWsJz5oRWntBjo7xgHCn+5/cgq+6pmZI1ky50dFFQFhl1T6LNetzWgBYM++q/TWbbqcAcZduSy0f+sgkFTL+xMSJo4CwllCtoHinY9aAcKefndF+kBUw12zUmmE42QeTAWEXPxe7uXiMAAECBAgQIECAAIEVCwgIV9wBbk+AAAECBAgQIEBgSwRmDQgrgKu9ByePWrax9pqro5Z8/Nv27xu3/eHqy2lLaI7KqQCogqA6xt8H1ZKf72nf/5cdArZRGd/Yli39L0n+bKyCo2Bst1l0VbdR8Fl1Pq9dX7O5jm/76/3bLmOhlkitgOzVSe4xdt4oIKzZjRXETTtGbZ+chVfLef5qW46yAtidjgrOaqnTyYBwNMOsZk5O7m03XlbNNKw99WqWZC0dOjpGAWEto1lLak47amnOD7UHKuAa33+yq4CwZgW+qQWctYToqG/qtqNwc7clSOv66vsKjquO1U+TR+1vWXsRjh+jgLBmLVb4uNMxS0BYM1prjFQ9px01Q7TC62rnnab0wWRA2MXPxS5N8hABAgQIECBAgAABAqsWEBCuugfcnwABAgQIECBAgMB2CMwaEO72HmUUxH1nkgpX6qhQ5q3t39+S5J924Ky94Cpcq2P8HjXr6qw5u2ByKc9Rveoer92hrKrbaNbj+AzECryuN8f9J/fbGwWE0/YHHBW70z5zNRuxgqm3JTlxlzq8MEmFopP3qBmTPzRH3Sftd9v/blRszYocBXbHtn3+Ro91FRDWePjnJFV+zbas/Q5HR82QrJmSO83wHM0QHJ3/5bbfYoWmdYyC3RqvNW7Hj1FA+BstqN2JcpaAsGY51izOnY7ai/Lnd5nFORkQdvFzMefQcDoBAgQIECBAgAABAssUEBAuU9u9CBAgQIAAAQIECGyvwDICwpsl+eAOxDsFhOPfv05bLnPeXhoFhLV/4U5h404BYQU71277/FXYNO/RRUBYAetJu9x4p4Bw9P3XJLn7vBVPsi4BYVV9NJuyZit+c2tLzWr8eJLau/LUJH8x0cbxEK32lnxaC4ErJBwdFTbWsreTwW49PgoIa/nX+vnY6ZglIKx67hY0zxsQdvFzsY8h4RICBAgQIECAAAECBJYlICBclrT7ECBAgAABAgQIENhugb4CwlmXGK0lIJ/RumD8fdC3JXlX+/5Oe7jt1XOLLDH67iS3TrLb/oW73X+RgHDWJUbf3JZ1nZxB+MQkP92W/aylNec91ikgHF/KtGZT1qzKhyV5SpJaerbCt1rGc/x4ZpIfbbNGK1Cbdoz2N+w7IOx6idEufi7mHQ/OJ0CAAAECBAgQIEBgiQICwiViuxUBAgQIECBAgACBLRboKyCs9zSfTnJkkt2WahxfDnP8fVDtbfiZJLX3YQU+tV/fvMcoIHx+kgfucHHV7ZeTTO63VwFUBVH/muSGbS/Cee6/SEB4rySvaDergKyW2Zw8yqVmOV59yhKjPzC2F2Ptw1d7Fc5zLBoQ1nKgNftucl+9eeowfu5b2lKrNRvwJ9vStbUc7JNaEDpZbs0WrVC5Zuf94pSb1jirfR8rxO47IKzb3zXJ2TvU4yNJap/J/5Hk4WPn7NQHXfxc7LcfXEeAAAECBAgQIECAwBIEBIRLQHYLAgQIECBAgAABAgS+soTio5rD5PuQ3ZZQHKebtgdhPV5LO/5ECwpv3v4ev+4WbZbg1Xa4/xOS/EybIVb7xO0WdFUQWSHftHpd1mYDTu6DeHRberL+rrpWIDg6aqbWO9u+iLUn4Bm7jJVa6vKQiRBxkYCwQr/aA/GaU8K/UTVGwWZ9PTmD8NAk57a976oNFRJeukv9J+0WDQirz6rv/qG5L/pjVmOo+qcC45OTvLcVeHySv59SeO1L+P1tb8t7THm8+rLCxjqWERC+oYWEV0zUZeRc3/72JG8fe3y3Plj052LR/nA9AQIECBAgQIAAAQI9CggIe8RVNAECBAgQIECAAAEC/y7QZ0BYM6Pek+TwJLVk50OTvKOFbjXDq5Z5rJlw39BqM/k+qIKrCk1ukuTfktTMtD9pS0vWJV/fZpb9YJIKi2450a+j4PJzST7b7l8zuer7t2/3r2VEL07yn5L874nra1bX/9e+95Ikv5nk/2/XH9yuqdl+1a4fmggwFwkI65Z137p/HX+QpPbMG82orOVDa4ZetavsJgPCuuY+SV7WrMv+F5JUUPXFVuaxSe6WpJZ4fWWb5Tlq/qIBYc2Y++sktedfBXo1A3CRo4LSmi1ZQXKNn+rr9yepgHnaMb5sbY2ZcqzxU1YVAtcSrjUztPYy7DsgrGC2AuTqi0ck+WiSCnBrRmvNgKx/12zR6q/xY7c+WPTnYpG+cC0BAgQIECBAgAABAj0LCAh7BlY8AQIECBAgQIAAAQJfEegzIKzyvzfJS9sMu/q6wrhaJrFmyX28Le/5rNYX094HVZD15xMz0SrcOaiFi6NurCUjj5vo0/E9CCvcu06bSVczuQ5r59bswtOS/OWU8VAh4O+1WYyjh7/QwqYKJ6sdo+OOSf527OtFA8JqX5UxWhq16lyBYAWqVa8XJqm6n77LLMMHJHl6kmu0etV+eFVGtb1mPI6OX2nh5+jrRQPCcqlg+GatwApnL2r/rpCswtZ5jxpD9x27qJYOrSVEpx0VyFUQXDMn66hxUGOm+qxcq69rf8tqd98B4flJHp/kyS2sLYvyrzrWUYHzKS38HW/LXn2wyM/FvPbOJ0CAAAECBAgQIEBgiQICwiViuxUBAgQIECBAgACBLRboOyAs2prp9atJ7tJCmgoG/6LNWqulR2tmWx07vQ+qwKlmCd4vye2S1JKgNTutyqnZca9qf2rPw/FjfOnTD7RA6J5t6c0KjCpEqpl5NRttt+M2banUOyW5QQvXKuj5YJsp9/IW9IyXsWhAOCqrAsKa9XarJBUSVjtqT8YK/p69R0BYZVy3Xf89SWo/w5rNeUmS89qMx6p7hWQVHo6OvcKpOu9GrYz6d4VVtZfe+HH9Fj7XbMLrtdl/9fiPtOBz3h+5eyeputZRDse02Xg7lVMz82rWZI2bqmvN5Cu7mm1ZdjWzsJbWXUZAWPevGbM/22auVkBY/i9oAfTnpzRilj7Y78/FvPbOJ0CAAAECBAgQIEBgiQICwiViuxUBAgQIECBAgAABAhspsNPeiBvZWI0iQIAAAQIECBAgQIAAgeELCAiH34daQIAAAQIECBAgQIDAagUEhKv1d3cCBAgQIECAAAECBAgQmFNAQDgnmNMJECBAgAABAgQIECAwISAgNCQIECBAgAABAgQIECBAYFACAsJBdZfKEiBAgAABAgQIECCwhgICwjXsFFUiQIAAAQIECBAgQIAAgZ0FBIRGBwECBAgQIECAAAECBBYTEBAu5udqAgQIECBAgAABAgQIEFiygIBwyeBuR4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGCVAgLCVeq7NwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIElCwgIlwzudgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgRWKSAgXKW+exMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBBYsoCAcMngbkeAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBglQICwlXquzcBAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBJQsICJcM7nYECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEVikgIFylvnsTIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQWLKAgHDJ4G5HgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAYJUCAsJV6rs3AQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgSULCAiXDO52BAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBFYpICBcpb57EyBAgAABAgQIECBAgAABAgQIECBAgAABAgQIEFiygIBwyeBuR4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGCVAgLCVeq7NwECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIElC/xfR9hRg5/phx8AAAAASUVORK5CYII=\" width=\"720\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\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",
       "    fig.rubberband_canvas.style.cursor = msg['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 https://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",
       " * https://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\", \"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",
       "    // 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=\"864\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9a7bea1e52e146579ef7ca2b9cec9e3a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Training the model:   0%|          | 0/1000 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "net_sc = init_net_1(hidden_features=32 * 4 * 2, h_mul=4)\n",
    "optimizer_sc = torch.optim.SGD(net_sc.parameters(), lr=0.01, momentum=0.9)\n",
    "loss_sc = torch.nn.MSELoss()\n",
    "epochs_sc  = 50\n",
    "train(\n",
    "    net_sc, optimizer_sc, loss_sc, X_d, y_d, epochs=epochs_sc * 20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "3c84998e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\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",
       "    fig.rubberband_canvas.style.cursor = msg['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 https://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",
       " * https://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\", \"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",
       "    // 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=\"432\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "test(net_sc, X_d_test, y_d_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6652f17c",
   "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": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}