psb_chicane_01_setup_chicane.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c6ccdbf2",
   "metadata": {},
   "source": [
    "# PSB injection bump in Xsuite - setup chicane"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b81d0377",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "40616266",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import modules\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "import xtrack as xt\n",
    "import xpart as xp\n",
    "import xdeps as xd\n",
    "\n",
    "from cpymad.madx import Madx"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51a56f9f",
   "metadata": {},
   "source": [
    "###  Load line from previous notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0a303702",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading line from dict: 100%|█| 1224/1224 [00:00<00:00, 1917"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done loading line from dict.           \n",
      "Found suitable prebuilt kernel `default_only_xtrack`.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<xtrack.tracker.Tracker at 0x14440eda0>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Reload\n",
    "line = xt.Line.from_json('psb_00_from_mad.json')\n",
    "line.build_tracker()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "33fcd872",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "#  vars['k0bi1bsw1l11']._get_value()\n",
      "   vars['k0bi1bsw1l11'] = 0.0\n",
      "\n",
      "#  vars['k0bi1bsw1l11']._expr is None\n",
      "\n",
      "#  vars['k0bi1bsw1l11']._find_dependant_targets()\n",
      "   element_refs['bi1.bsw1l1.1_dex'].k\n",
      "   element_refs['bi1.bsw1l1.1_dex'].e1_fd\n",
      "   element_refs['bi1.bsw1l1.1'].k0\n",
      "   element_refs['bi1.bsw1l1.1_den'].k\n",
      "   element_refs['bi1.bsw1l1.1_den'].e1_fd\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# A few checks on the imported model\n",
    "line.vars['k0bi1bsw1l11']._info() # Check that the knob controls k0 and the edges"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2bf7bbc0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "#  element_refs['bi1.bsw1l1.1'].h._get_value()\n",
      "   element_refs['bi1.bsw1l1.1'].h = 0.0\n",
      "\n",
      "#  element_refs['bi1.bsw1l1.1'].h._expr is None\n",
      "\n",
      "#  element_refs['bi1.bsw1l1.1'].h does not influence any target\n",
      "\n"
     ]
    }
   ],
   "source": [
    "line.element_refs['bi1.bsw1l1.1'].h._info() # Check no reference system curvature in bumpers"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7fd4d5b5",
   "metadata": {},
   "source": [
    "### Build chicane knob (k0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8bc53759",
   "metadata": {},
   "outputs": [],
   "source": [
    "line.vars['bsw_k0l'] = 0 # knob controlling the four magnets\n",
    "line.vars['k0bi1bsw1l11'] =  line.vars['bsw_k0l'] / line['bi1.bsw1l1.1'].length\n",
    "line.vars['k0bi1bsw1l12'] = -line.vars['bsw_k0l'] / line['bi1.bsw1l1.2'].length\n",
    "line.vars['k0bi1bsw1l13'] = -line.vars['bsw_k0l'] / line['bi1.bsw1l1.3'].length\n",
    "line.vars['k0bi1bsw1l14'] =  line.vars['bsw_k0l'] / line['bi1.bsw1l1.4'].length"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "533c9500",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "#  vars['k0bi1bsw1l11']._get_value()\n",
      "   vars['k0bi1bsw1l11'] = 0.0\n",
      "\n",
      "#  vars['k0bi1bsw1l11']._expr\n",
      "   vars['k0bi1bsw1l11'] = (vars['bsw_k0l']/0.313)\n",
      "\n",
      "#  vars['k0bi1bsw1l11']._expr._get_dependencies()\n",
      "   vars['bsw_k0l'] = 0\n",
      "\n",
      "#  vars['k0bi1bsw1l11']._find_dependant_targets()\n",
      "   element_refs['bi1.bsw1l1.1_dex'].k\n",
      "   element_refs['bi1.bsw1l1.1_dex'].e1_fd\n",
      "   element_refs['bi1.bsw1l1.1'].k0\n",
      "   element_refs['bi1.bsw1l1.1_den'].k\n",
      "   element_refs['bi1.bsw1l1.1_den'].e1_fd\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Inspect\n",
    "line.vars['k0bi1bsw1l11']._info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c510873",
   "metadata": {},
   "source": [
    "### Build knob to model eddy currents (k2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "69b07f38",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Build knob to model eddy currents (k2)\n",
    "line.vars['bsw_k2l'] = 0\n",
    "line.element_refs['bi1.bsw1l1.1'].knl[2] = line.vars['bsw_k2l']\n",
    "line.element_refs['bi1.bsw1l1.2'].knl[2] = -line.vars['bsw_k2l']\n",
    "line.element_refs['bi1.bsw1l1.3'].knl[2] = -line.vars['bsw_k2l']\n",
    "line.element_refs['bi1.bsw1l1.4'].knl[2] = line.vars['bsw_k2l']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f281a736",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "#  element_refs['bi1.bsw1l1.3'].knl[2]._get_value()\n",
      "   element_refs['bi1.bsw1l1.3'].knl[2] = 0.0\n",
      "\n",
      "#  element_refs['bi1.bsw1l1.3'].knl[2]._expr\n",
      "   element_refs['bi1.bsw1l1.3'].knl[2] = (-vars['bsw_k2l'])\n",
      "\n",
      "#  element_refs['bi1.bsw1l1.3'].knl[2]._expr._get_dependencies()\n",
      "   vars['bsw_k2l'] = 0\n",
      "\n",
      "#  element_refs['bi1.bsw1l1.3'].knl[2] does not influence any target\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Inspect\n",
    "line.element_refs['bi1.bsw1l1.3'].knl[2]._info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05e0c585",
   "metadata": {},
   "source": [
    "### Use twiss to check the knobs"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c53f67c",
   "metadata": {},
   "source": [
    "Check effect on the orbit and beta functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c67acdf4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found suitable prebuilt kernel `only_xtrack_frozen_energy`.\n"
     ]
    },
    {
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       "    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.canvas_div.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",
       "function getModifiers(event) {\n",
       "    var mods = [];\n",
       "    if (event.ctrlKey) {\n",
       "        mods.push('ctrl');\n",
       "    }\n",
       "    if (event.altKey) {\n",
       "        mods.push('alt');\n",
       "    }\n",
       "    if (event.shiftKey) {\n",
       "        mods.push('shift');\n",
       "    }\n",
       "    if (event.metaKey) {\n",
       "        mods.push('meta');\n",
       "    }\n",
       "    return mods;\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",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    // from https://stackoverflow.com/q/1114465\n",
       "    var boundingRect = this.canvas.getBoundingClientRect();\n",
       "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
       "    var y = (event.clientY - boundingRect.top) * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        modifiers: getModifiers(event),\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\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\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 's [m]')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "line.vars['bsw_k0l'] = 0 # Bump off\n",
    "tw0 = line.twiss()\n",
    "line.vars['bsw_k0l'] = 6.6e-2 # Full bump amplitude\n",
    "tw1 = line.twiss()\n",
    "line.vars['bsw_k0l'] = 3.3e-2 # Half bump amplitude\n",
    "tw2 = line.twiss()\n",
    "\n",
    "plt.figure(1, figsize=(6.4, 4.8))\n",
    "sp1 = plt.subplot(2,1,1)\n",
    "plt.plot(tw0.s, tw0.x, label='bsw_k0l=0')\n",
    "plt.plot(tw1.s, tw1.x, label='bsw_k0l=6.6e-2')\n",
    "plt.plot(tw2.s, tw2.x, label='bsw_k0l=3.3e-2')\n",
    "plt.ylabel('x [m]') \n",
    "plt.legend()\n",
    "sp2 = plt.subplot(2,1,2, sharex=sp1)\n",
    "plt.plot(tw0.s, tw0.bety)\n",
    "plt.plot(tw1.s, tw1.bety)\n",
    "plt.plot(tw2.s, tw2.bety)\n",
    "plt.ylabel(r'$\\beta_y$ [m]')\n",
    "plt.xlabel(r's [m]')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a8f1627a",
   "metadata": {},
   "source": [
    "Check that eddy currents knob affects beta functions and chromaticity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "d5e8078c",
   "metadata": {},
   "outputs": [],
   "source": [
    "line.vars['bsw_k0l'] = 6.6e-2\n",
    "line.vars['bsw_k2l'] = 0\n",
    "tw_eddy_off = line.twiss()\n",
    "line.vars['bsw_k2l'] = -9.7429e-2 # Full ramp rate\n",
    "tw_eddy_on = line.twiss()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "f6778c38",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-8.525562235703887, -9.165784423688095)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Effect on chromaticity\n",
    "tw_eddy_off.dqy, tw_eddy_on.dqy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "871fac23",
   "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('tabindex', '0');\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",
       "            'z-index: 2;'\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(\n",
       "        'style',\n",
       "        'box-sizing: content-box;' +\n",
       "            'pointer-events: none;' +\n",
       "            'position: relative;' +\n",
       "            'z-index: 0;'\n",
       "    );\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;' +\n",
       "            'left: 0;' +\n",
       "            'pointer-events: none;' +\n",
       "            'position: absolute;' +\n",
       "            'top: 0;' +\n",
       "            '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",
       "            /* This rescales the canvas back to display pixels, so that it\n",
       "             * appears correct on HiDPI screens. */\n",
       "            canvas.style.width = width + 'px';\n",
       "            canvas.style.height = height + 'px';\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",
       "        /* User Agent sniffing is bad, but WebKit is busted:\n",
       "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
       "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
       "         * The worst that happens here is that they get an extra browser\n",
       "         * selection when dragging, if this check fails to catch them.\n",
       "         */\n",
       "        var UA = navigator.userAgent;\n",
       "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
       "        if(isWebKit) {\n",
       "            return function (event) {\n",
       "                /* This prevents the web browser from automatically changing to\n",
       "                 * the text insertion cursor when the button is pressed. We\n",
       "                 * want to control all of the cursor setting manually through\n",
       "                 * the 'cursor' event from matplotlib */\n",
       "                event.preventDefault()\n",
       "                return fig.mouse_event(event, name);\n",
       "            };\n",
       "        } else {\n",
       "            return function (event) {\n",
       "                return fig.mouse_event(event, name);\n",
       "            };\n",
       "        }\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    canvas_div.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    canvas_div.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",
       "    canvas_div.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.canvas_div.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",
       "function getModifiers(event) {\n",
       "    var mods = [];\n",
       "    if (event.ctrlKey) {\n",
       "        mods.push('ctrl');\n",
       "    }\n",
       "    if (event.altKey) {\n",
       "        mods.push('alt');\n",
       "    }\n",
       "    if (event.shiftKey) {\n",
       "        mods.push('shift');\n",
       "    }\n",
       "    if (event.metaKey) {\n",
       "        mods.push('meta');\n",
       "    }\n",
       "    return mods;\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",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    // from https://stackoverflow.com/q/1114465\n",
       "    var boundingRect = this.canvas.getBoundingClientRect();\n",
       "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
       "    var y = (event.clientY - boundingRect.top) * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        modifiers: getModifiers(event),\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\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\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1540c7010>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.figure(3, figsize=(6.4, 4.8))\n",
    "plt.plot(tw_eddy_off.s, tw_eddy_off.bety, label='eddy off')\n",
    "plt.plot(tw_eddy_off.s, tw_eddy_on.bety, label='eddy on')\n",
    "plt.ylabel(r'$\\beta_y$ [m]')\n",
    "plt.xlabel(r's [m]')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ddebc1ab",
   "metadata": {},
   "source": [
    "### Save line with knobs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "1746f923",
   "metadata": {},
   "outputs": [],
   "source": [
    "line.to_json('psb_01_with_chicane.json')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1edaa467",
   "metadata": {},
   "source": [
    "---------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "286adacb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Bend(k0=0.21086261980830673, h=0.0, length=0.313, knl=[ 0.        0.       -0.097429  0.        0.      ], ksl=[0. 0. 0. 0. 0.], num_multipole_kicks=5, _order=4, inv_factorial_order=0.041666666666666664, _model=1)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "line['bi1.bsw1l1.1']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "0ccd3b99",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "line['bi1.bsw1l1.1'].ksl[3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "0a161797",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Compiling ContextCpu kernels...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ld: warning: -pie being ignored. It is only used when linking a main executable\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done compiling ContextCpu kernels.\n"
     ]
    }
   ],
   "source": [
    "tt = line.get_table(attr=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "f9d1844c",
   "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('tabindex', '0');\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",
       "            'z-index: 2;'\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(\n",
       "        'style',\n",
       "        'box-sizing: content-box;' +\n",
       "            'pointer-events: none;' +\n",
       "            'position: relative;' +\n",
       "            'z-index: 0;'\n",
       "    );\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;' +\n",
       "            'left: 0;' +\n",
       "            'pointer-events: none;' +\n",
       "            'position: absolute;' +\n",
       "            'top: 0;' +\n",
       "            '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",
       "            /* This rescales the canvas back to display pixels, so that it\n",
       "             * appears correct on HiDPI screens. */\n",
       "            canvas.style.width = width + 'px';\n",
       "            canvas.style.height = height + 'px';\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",
       "        /* User Agent sniffing is bad, but WebKit is busted:\n",
       "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
       "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
       "         * The worst that happens here is that they get an extra browser\n",
       "         * selection when dragging, if this check fails to catch them.\n",
       "         */\n",
       "        var UA = navigator.userAgent;\n",
       "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
       "        if(isWebKit) {\n",
       "            return function (event) {\n",
       "                /* This prevents the web browser from automatically changing to\n",
       "                 * the text insertion cursor when the button is pressed. We\n",
       "                 * want to control all of the cursor setting manually through\n",
       "                 * the 'cursor' event from matplotlib */\n",
       "                event.preventDefault()\n",
       "                return fig.mouse_event(event, name);\n",
       "            };\n",
       "        } else {\n",
       "            return function (event) {\n",
       "                return fig.mouse_event(event, name);\n",
       "            };\n",
       "        }\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    canvas_div.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    canvas_div.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",
       "    canvas_div.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.canvas_div.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",
       "function getModifiers(event) {\n",
       "    var mods = [];\n",
       "    if (event.ctrlKey) {\n",
       "        mods.push('ctrl');\n",
       "    }\n",
       "    if (event.altKey) {\n",
       "        mods.push('alt');\n",
       "    }\n",
       "    if (event.shiftKey) {\n",
       "        mods.push('shift');\n",
       "    }\n",
       "    if (event.metaKey) {\n",
       "        mods.push('meta');\n",
       "    }\n",
       "    return mods;\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",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    // from https://stackoverflow.com/q/1114465\n",
       "    var boundingRect = this.canvas.getBoundingClientRect();\n",
       "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
       "    var y = (event.clientY - boundingRect.top) * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        modifiers: getModifiers(event),\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\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\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\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": {
      "text/html": [
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1578afe50>]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.plot(tt.s, tt.k1l)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "55466489",
   "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": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}