examples/pyAXEAP_example.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
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   "metadata": {},
   "source": [
    "# `axeap` Example"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bb90af79",
   "metadata": {},
   "source": [
    "## Overview\n",
    "\n",
    "`axeap` (Argonne X-ray Emission Analysis Package) is a python package used to analyze 2D images XES and produce spectra from them. This example notebook demonstrates the capabilities of `axeap`. The `axeap` package and an accompanying GUI that can be used to access its functionality without having to write code are both currently under development."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5537c6a0",
   "metadata": {},
   "source": [
    "-----------"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f70bfc7f",
   "metadata": {},
   "source": [
    "## Module Structure\n",
    "\n",
    "`axeap` is composed of 4 submodules:\n",
    "* `core`: All the essential code of the module\n",
    "* `utils`: Helper functions that are not necessarily specific to x-ray science\n",
    "* `experiment`: Used for performing live experiments.\n",
    "* `inspect`: Used for displaying information."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e9964982",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-02T01:39:15.023379Z",
     "start_time": "2022-07-02T01:39:13.841540Z"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from pathlib import Path\n",
    "\n",
    "import axeap\n",
    "import axeap.core as core\n",
    "import axeap.utils as utils\n",
    "import axeap.experiment as experiment\n",
    "import axeap.inspect as inspect\n",
    "from axeap.core.conventions import X, Y\n",
    "\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "1612d249",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-02T01:39:15.034609Z",
     "start_time": "2022-07-02T01:39:15.026278Z"
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9a38bf79",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-02T01:39:15.046246Z",
     "start_time": "2022-07-02T01:39:15.037326Z"
    }
   },
   "outputs": [],
   "source": [
    "datapath = Path('/path/to/directory/containing/tiff/images/')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30237436",
   "metadata": {},
   "source": [
    "## Scans\n",
    "\n",
    "A `Scan` object represent a single image loaded from the detector. One way to create a `Scan` is to load it from a TIFF image file. This will automatically set the name of the scan to be the filename. `Scan` is also a `DataItem`, so it is automatically assigned a UUID. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "74256c8c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-02T01:39:15.065135Z",
     "start_time": "2022-07-02T01:39:15.049365Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Scan(name:Eiger_0003.tif,uuid:86085b2e-b3b4-4093-bd59-098fff30641d)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s = core.Scan.loadFromPath(datapath/'NiO_Calib'/'Eiger_0003.tif')\n",
    "s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "96aaa0eb",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-02T01:39:15.127412Z",
     "start_time": "2022-07-02T01:39:15.072310Z"
    },
    "scrolled": true
   },
   "outputs": [
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       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img 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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "inspect.displayScan(s)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "441f8724",
   "metadata": {},
   "source": [
    "The actual image data can be retrieved using `Scan.getImg` and specifications can be passed in to modify the image. Any modified images are cached so they don't need to be calculated again. The will use a lot more space for a large number of images, but can speed things up greatly since `getImg` is called often."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "02791f24",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-02T01:39:15.141473Z",
     "start_time": "2022-07-02T01:39:15.129981Z"
    }
   },
   "outputs": [],
   "source": [
    "i = s.getImg(cuts=(5,100))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0c69de8",
   "metadata": {},
   "source": [
    "The scan can also be modified with some specifications. This creates a new `Scan` that has a new default image specification (cuts, blur, etc). This allows a `Scan` to be passed to a function without that function needing to know the specifications previously made on the image."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "16390d2d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-02T01:39:15.148790Z",
     "start_time": "2022-07-02T01:39:15.144236Z"
    }
   },
   "outputs": [],
   "source": [
    "modified_s = s.mod(cuts=(5,100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "2a7561f8",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-02T01:39:15.217487Z",
     "start_time": "2022-07-02T01:39:15.153384Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(modified_s.getImg()==s.getImg(cuts=(5,100))).all()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "94a95658",
   "metadata": {},
   "source": [
    "## Calibration"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "35f3d8fd",
   "metadata": {},
   "source": [
    "We can start a calibration by loading a set of scans from a directory into a `ScanSet`, which is a subclass of `DataItemSet`. The point of using a `ScanSet` object rather than just a list is so that it can make sure that all the scans have the same dimensions and so that it can be used as a shared object that emits signals whenever scans are added or removed (more on the latter later)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c4f6355e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-02T01:39:15.487236Z",
     "start_time": "2022-07-02T01:39:15.219990Z"
    }
   },
   "outputs": [],
   "source": [
    "calibscans = core.ScanSet.loadFromPath(datapath/'NiO_Calib')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "cd2ec835",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-02T01:39:15.493282Z",
     "start_time": "2022-07-02T01:39:15.488790Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Scan(name:Eiger_0001.tif,uuid:16ebaf6e-6cf1-4ffd-8774-6f4425b70694),\n",
       " Scan(name:Eiger_0002.tif,uuid:9e11ef4b-356d-470f-b6fc-0923b93ea0c9),\n",
       " Scan(name:Eiger_0003.tif,uuid:6a662d32-d3e0-4a19-8ec9-8275e7c2dc42),\n",
       " Scan(name:Eiger_0004.tif,uuid:b949b5d0-b606-40e8-94f4-80da68e89a39),\n",
       " Scan(name:Eiger_0005.tif,uuid:f0be09d3-4024-45bc-bf9e-a3fc4fa515ab),\n",
       " Scan(name:Eiger_0006.tif,uuid:e7e1ea4d-0933-42ad-9252-d5c46d97bc28),\n",
       " Scan(name:Eiger_0007.tif,uuid:42bf549c-e3c5-4995-b9c5-26c0ef0630b1),\n",
       " Scan(name:Eiger_0008.tif,uuid:52db3245-cfa2-4e4e-bb55-e8936d6fc0f2),\n",
       " Scan(name:Eiger_0009.tif,uuid:a6d93389-e368-47ad-83ec-1178319f1a53),\n",
       " Scan(name:Eiger_0010.tif,uuid:a406b398-4771-4423-a0e6-77b5b57f9c76),\n",
       " Scan(name:Eiger_0011.tif,uuid:158c7473-e00b-4117-94be-34bfdecba787),\n",
       " Scan(name:Eiger_0012.tif,uuid:9bd68c80-32ae-49ed-982d-580a195743f6),\n",
       " Scan(name:Eiger_0013.tif,uuid:f6fa74c1-0b47-4eb9-bc98-f9c02cc5d1a9),\n",
       " Scan(name:Eiger_0014.tif,uuid:35349d55-5d9d-40aa-a034-a11cfc7828e8),\n",
       " Scan(name:Eiger_0015.tif,uuid:74dc85ca-ca74-49ac-9f77-5a8edd91e5dc),\n",
       " Scan(name:Eiger_0016.tif,uuid:710224fb-5dd8-4faf-baa3-3b303db3568d),\n",
       " Scan(name:Eiger_0017.tif,uuid:1cf61975-eec7-4301-af09-f15a3c39a247),\n",
       " Scan(name:Eiger_0018.tif,uuid:29b62257-c836-4567-8860-a2e8dab46e28),\n",
       " Scan(name:Eiger_0019.tif,uuid:d7dd3a7b-d833-4f74-9a88-197d03f9da48),\n",
       " Scan(name:Eiger_0020.tif,uuid:ced5d48a-b300-4d7f-b831-7f441a808bbb),\n",
       " Scan(name:Eiger_0021.tif,uuid:3aa6a60b-0501-4c55-a72b-63957b0b82de),\n",
       " Scan(name:Eiger_0022.tif,uuid:a70d85d2-b4ca-4ad9-8e7a-ee134cef1309),\n",
       " Scan(name:Eiger_0023.tif,uuid:21974e0d-5a89-43d3-8ada-3a1766741ef9),\n",
       " Scan(name:Eiger_0024.tif,uuid:5f87b095-c77d-4e5e-807b-ee036c99813f),\n",
       " Scan(name:Eiger_0025.tif,uuid:b88260cb-427c-45c8-9ec3-c98c67b4c46e),\n",
       " Scan(name:Eiger_0026.tif,uuid:56073f50-bfbb-492c-97b7-fdaf90597762),\n",
       " Scan(name:Eiger_0027.tif,uuid:125aafb0-5969-4a3a-80a9-aa43cbfa6dbc),\n",
       " Scan(name:Eiger_0028.tif,uuid:3b5a1320-5fa3-4e11-82a9-61ba9088d581),\n",
       " Scan(name:Eiger_0029.tif,uuid:3f707efc-15c1-4873-a493-5899de792fe7),\n",
       " Scan(name:Eiger_0030.tif,uuid:cfdc64f8-650d-4cdc-99c6-ff718b53b155)]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "calibscans.items"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "853928cc",
   "metadata": {},
   "source": [
    "Since a calibration run information file was included in the directory, the incident energy for each scan is put into the metadata properties."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5ac7bf18",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-02T01:39:15.506578Z",
     "start_time": "2022-07-02T01:39:15.494878Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8220.00455431"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "calibscans.items[0].meta['IncidentEnergy']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1393b34c",
   "metadata": {},
   "source": [
    "For the moment, let's ignore any scans that seems to have multiple vertical regions of interest. The method for calculating VROIs is explained more later."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c82817d0",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-02T01:39:15.732547Z",
     "start_time": "2022-07-02T01:39:15.509084Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Scan(name:Eiger_0001.tif,uuid:16ebaf6e-6cf1-4ffd-8774-6f4425b70694),\n",
       " Scan(name:Eiger_0002.tif,uuid:9e11ef4b-356d-470f-b6fc-0923b93ea0c9),\n",
       " Scan(name:Eiger_0003.tif,uuid:6a662d32-d3e0-4a19-8ec9-8275e7c2dc42),\n",
       " Scan(name:Eiger_0004.tif,uuid:b949b5d0-b606-40e8-94f4-80da68e89a39),\n",
       " Scan(name:Eiger_0005.tif,uuid:f0be09d3-4024-45bc-bf9e-a3fc4fa515ab),\n",
       " Scan(name:Eiger_0006.tif,uuid:e7e1ea4d-0933-42ad-9252-d5c46d97bc28),\n",
       " Scan(name:Eiger_0007.tif,uuid:42bf549c-e3c5-4995-b9c5-26c0ef0630b1),\n",
       " Scan(name:Eiger_0008.tif,uuid:52db3245-cfa2-4e4e-bb55-e8936d6fc0f2),\n",
       " Scan(name:Eiger_0009.tif,uuid:a6d93389-e368-47ad-83ec-1178319f1a53),\n",
       " Scan(name:Eiger_0010.tif,uuid:a406b398-4771-4423-a0e6-77b5b57f9c76),\n",
       " Scan(name:Eiger_0011.tif,uuid:158c7473-e00b-4117-94be-34bfdecba787),\n",
       " Scan(name:Eiger_0012.tif,uuid:9bd68c80-32ae-49ed-982d-580a195743f6),\n",
       " Scan(name:Eiger_0013.tif,uuid:f6fa74c1-0b47-4eb9-bc98-f9c02cc5d1a9),\n",
       " Scan(name:Eiger_0014.tif,uuid:35349d55-5d9d-40aa-a034-a11cfc7828e8),\n",
       " Scan(name:Eiger_0015.tif,uuid:74dc85ca-ca74-49ac-9f77-5a8edd91e5dc),\n",
       " Scan(name:Eiger_0016.tif,uuid:710224fb-5dd8-4faf-baa3-3b303db3568d),\n",
       " Scan(name:Eiger_0017.tif,uuid:1cf61975-eec7-4301-af09-f15a3c39a247),\n",
       " Scan(name:Eiger_0018.tif,uuid:29b62257-c836-4567-8860-a2e8dab46e28),\n",
       " Scan(name:Eiger_0019.tif,uuid:d7dd3a7b-d833-4f74-9a88-197d03f9da48),\n",
       " Scan(name:Eiger_0020.tif,uuid:ced5d48a-b300-4d7f-b831-7f441a808bbb),\n",
       " Scan(name:Eiger_0021.tif,uuid:3aa6a60b-0501-4c55-a72b-63957b0b82de),\n",
       " Scan(name:Eiger_0022.tif,uuid:a70d85d2-b4ca-4ad9-8e7a-ee134cef1309),\n",
       " Scan(name:Eiger_0023.tif,uuid:21974e0d-5a89-43d3-8ada-3a1766741ef9),\n",
       " Scan(name:Eiger_0024.tif,uuid:5f87b095-c77d-4e5e-807b-ee036c99813f)]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "validatedscans = [s for s in calibscans if len(core.calcVROIs(s.mod(cuts=(5,10)),20,20))==1]\n",
    "calibscans = core.ScanSet(validatedscans)\n",
    "calibscans.items"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "87fa4221",
   "metadata": {},
   "source": [
    "Next we can use one of the scans to automatically determine horizontal regions of interest (HROIS) in the image. These HROIs (which are represented by objects of class `HROI` that subclass `ROI`) correspond to ranges of x values where the lines from the different crystals are. Note that if the signal from two crystals overlaps, they will only show up as one HROI."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4c5354c3",
   "metadata": {},
   "source": [
    "We take a `Scan` from the `ScanSet` and use the `calcHROIs` function to find the HROIs. We specify the minimum width  the HROI to be a third of the maximum amount it reasonably could be (which is the entire span of the image divided by the number of crystals. We also specify that the HROIs be separated by a buffer of at least 10 pixels. The scan we pass in has cuts already applied (note the use of `Scan.mod`) to help the function find the lines since it uses a Fast Line Segement Detection (FLSD) algorithm. I am currently trying to figure out ways that this many parameters do not need to be specified."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "56d79a40",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-02T01:39:15.783224Z",
     "start_time": "2022-07-02T01:39:15.734651Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[HROI(x=31:150),\n",
       " HROI(x=160:285),\n",
       " HROI(x=298:383),\n",
       " HROI(x=401:529),\n",
       " HROI(x=544:665),\n",
       " HROI(x=675:794),\n",
       " HROI(x=824:1030)]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s = calibscans.items[0]\n",
    "numcrystals=8\n",
    "min_width = s.dims[X]/numcrystals/3\n",
    "hrois = core.calcHROIs(s.mod(cuts=(3,10)), min_width=min_width, group_buffer=10)\n",
    "hrois"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "1e1f377d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-02T01:39:15.855441Z",
     "start_time": "2022-07-02T01:39:15.787991Z"
    }
   },
   "outputs": [
    {
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       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "inspect.displayScan(s.mod(cuts=(3,10)),rois=hrois)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "52e9fd7c",
   "metadata": {},
   "source": [
    "We can then pass these HROIs and the scanset to the `calcEMap` function in order to generate an `EnergyMap` object that represents a mapping of pixels in the 2D XES image to energies. `EnergyMap` can be saved and loaded from files. They are saved as \".npy\" (numpy) files."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "28d142e4",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-02T01:39:40.459732Z",
     "start_time": "2022-07-02T01:39:15.858232Z"
    }
   },
   "outputs": [],
   "source": [
    "emap = core.calcEMap(calibscans, hrois)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "e12a6eac",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-02T01:39:40.468781Z",
     "start_time": "2022-07-02T01:39:40.461380Z"
    }
   },
   "outputs": [],
   "source": [
    "emap.saveToPath('energymap.npy')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "51bcf351",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-02T01:39:40.532374Z",
     "start_time": "2022-07-02T01:39:40.475386Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_948722/153046905.py:2: RuntimeWarning: invalid value encountered in log\n",
      "  plt.imshow(np.log(emap.values.swapaxes(0,1)),origin='lower',cmap='binary')\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fa73a626aa0>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.imshow(np.log(emap.values.swapaxes(0,1)),origin='lower',cmap='binary')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6fcb4e90",
   "metadata": {},
   "source": [
    "## (Further) ROI Detection"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "333f4194",
   "metadata": {},
   "source": [
    "The HROIs for experimental images are best determined from the calibration images, but to find vertical ROIs (VROIs) we can use the `calcVROIs` function. For that we must first apply some lo/hi cuts to the image and specify that VROIs must be at least 20 pixels high and not have more than 20 pixel gaps (low intensity areas) within them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "01ad5202",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-02T01:39:40.657700Z",
     "start_time": "2022-07-02T01:39:40.535871Z"
    }
   },
   "outputs": [],
   "source": [
    "s = core.Scan.loadFromPath(datapath/'NiO_XES'/'Eiger_0001.tif').mod(cuts=(5,10))\n",
    "# Specify that VROIs must be 20px high, can't have more than 20px gaps\n",
    "vrois = [core.calcVROIs(s.mod(roi=h), 20, 20, buffer=5)[0] for h in hrois]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "d3efe512",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-02T01:39:40.665030Z",
     "start_time": "2022-07-02T01:39:40.659730Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[VROI(y=162:198),\n",
       " VROI(y=151:195),\n",
       " VROI(y=180:228),\n",
       " VROI(y=177:225),\n",
       " VROI(y=142:181),\n",
       " VROI(y=181:219),\n",
       " VROI(y=192:233)]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vrois"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c111abee",
   "metadata": {},
   "source": [
    "These `VROI` objects can be multiplied by the `HROI` objects to produce `RROI` (Rectangular ROI) objects."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "8a985b3c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-02T01:39:40.676743Z",
     "start_time": "2022-07-02T01:39:40.666764Z"
    }
   },
   "outputs": [],
   "source": [
    "rrois = [h*v for h,v in zip(hrois,vrois)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "4b4ef967",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-02T01:39:40.791522Z",
     "start_time": "2022-07-02T01:39:40.678806Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "inspect.displayScan(s, rois=rrois)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6147e688",
   "metadata": {},
   "source": [
    "Total intensity in `ROI`s can be counted."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "a77b6ef3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-02T01:39:40.807111Z",
     "start_time": "2022-07-02T01:39:40.793577Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6714.0\n"
     ]
    }
   ],
   "source": [
    "print(s.count(rrois[1]))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e550e7a4",
   "metadata": {},
   "source": [
    "## Spectra Generation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d542a874",
   "metadata": {},
   "source": [
    "We can generate spectra for whole scans or for specific ROIs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "5d7cef4d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-02T01:39:41.756417Z",
     "start_time": "2022-07-02T01:39:40.816765Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(8200.0, 8350.0)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "inspect.displaySpectra(emap.calcSpectra(s))\n",
    "plt.xlim(8200, 8350)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "16cf1db0",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-02T01:39:42.642965Z",
     "start_time": "2022-07-02T01:39:41.760435Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "<img 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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(8200.0, 8350.0)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "inspect.displaySpectra(emap.calcSpectra(s.mod(roi=core.ComboROI(*rrois))))\n",
    "plt.xlim(8200, 8350)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "3bc8f39b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-07-02T01:39:43.333466Z",
     "start_time": "2022-07-02T01:39:42.647136Z"
    }
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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3aZSJntyjWtRFi0EEEDANQHmbwpAo2QigYz4CEYgnEC3CRs0asnu21RKZk2mX14rhxYCCCDgmgDzNwWgUTKRQEZ8BCMQTqDT7+s0dtnesJ/FiRVTV67fULHMSfX76+XRQgABBFwTYP6mADRKJhLIiI9gBMIJtP9lrX5ZuS/sZ8niP6KTF66qcMYk+uPNCmghgAACrgkwf1MAGiUTCWTERzAC4QTa/LRG41fvV8qEcXTs3BXlSp1Q246cU/70ifXX2xXRQgABBFwTYP6mADRKJhLIiI9gBMIJvDlmlSatO6h3AnMpXpxYViH4qNpZVwXzpE2koNaV0EIAAQRcE2D+pgA0SiYSyIiPYATCCbw2aqWCNh5Sr/oF1LhMFi3ecVzPf7NEOa0rgTPerYwWAggg4JoA8zcFoFEykUBGfAQjEE6g2cgVmrH5sPo9XVDPl8qs5btO6Lkhi5UtZQLNblcFLQQQQMA1AeZvCkCjZCKBjPgIRiCcwMvDl2lO8FENeLaQniuRSav2nNTTgxcpU/J4mt+hGloIIICAawLM3xSARslEAhnxEYxAOIEXv12qBduPaWDDIqpfNIPW7TulJ79aqPRJ4mpRp0C0EEAAAdcEmL8pAI2SiQQy4iMYgXACDYcu1tKdJ/TVC0X1eKH02njgtB77YoFSJ3pUy7pURwsBBBBwTYD5mwLQKJlIICM+ghEIJ/Ds14u0YvdJDXmxmGoXSKfgQ2dVa+A8Z1mYFV1roIUAAgi4JsD8TQFolEwkkBEfwQiEE6g3aKHW7j2lb18qoer50mi7tQZg9U/nKqm1IPSa92uihQACCLgmwPxNAWiUTCSQER/BCIQTeOyL+dZt3zMa0bSkquROrV3HzqvKx3OU6NHYWt+jFloIIICAawLM3xSARslEAhnxEYxAOIFan81T8OGz+rFZaZXPmVJ7T1xQxY9mK94jsbS5V220EEAAAdcEmL8pAI2SiQQy4iMYgXAC1T6Zo5Cj5/VTizIqnT2FDpy6qHIfzlKcWDG1tU8dtBBAAAHXBJi/KQCNkokEMuIjGIFwApUHzNbu4xf0W6uyKp4luY6cuaRSfWcqZgwppN9jaCGAAAKuCTB/UwAaJRMJZMRHMALhBMpbV/v2W1f9/nijvApnSqrj5y6reO8ZzjEhfesqpl0J0hBAAAEXBJi/KQCN0ogEMuIjGIFwAqX6zNCRs5f119sVlD99Ep2+cFWFe05zjtlm3QJ+xLoVTEMAAQTcEGD+pgA0yiMSyIiPYATCCRTrNV0nzl/RtDaVFJAmkc5dvqYCH0x1jtliPQQS13oYhIYAAgi4IcD87QcFYL9+/dS5c2e98847GjhwoJMXN2/eVI8ePTRs2DCdPHlSpUuX1qBBg5Q/f/6wvLl8+bLatWunsWPH6uLFiwoMDNTgwYOVMWNGn3OLBPKZigMRuKdAoe5TdebSNc1sW1k5UiXUpavXladbkBO30VoGJoG1HAwNAQQQcEOA+TuaF4DLly9XgwYNlDhxYlWtWjWsAOzfv7/69OmjESNGKCAgQL1799a8edYSE8HBSpQokZM7rVq10sSJE51jUqRIobZt2+rEiRNauXKlYsXy7UoDCeTGx5A+EPhbIN/7Qbpw5brmta+qzCni6+r1G8rVZYrzu7Uf1FSSeI9AhQACCLgiwPwdjQvAc+fOqVixYs5VO7vAK1KkiFMA2lf/0qdPr9atW6tjx45OothX+9KkSSO7MGzZsqVOnz6tVKlSadSoUWrYsKFzzIEDB5QpUyZNnjxZtWr5tugsCeTK55BOEHAEAqxi74pV9C16r5rSJ42nGzduKnvnyc7vVnWroeQJ4iCFAAIIuCLA/B2NC8AmTZooefLk+uyzz1SlSpWwAjAkJEQ5cuTQqlWrVLRo0bBEqVevnpImTaqRI0dq1qxZzi1f+4pfsmTJwo4pXLiw6tev79w+9qWRQL4ocQwC4QXsK3utf1qjElmSqWn5bGG/zNbpL+v/wEnLugQqdaK4zs+zWz+z6sBwP8MTAQQQMBVg/o6mBeC4ceOcW7z2LeC4ceOGKwAXLVqk8uXLa//+/c6VwNDWokUL7d69W1OnTtWYMWPUtGlT58rgra1mzZrKli2bhg4desfcso+/NcZOIPuqoX1F0b4NTUMAgXsLLA05robDljgHLrSu9mW4y9W+XF0mW7eCb2pxp2pKlyTevTvnCAQQQMAHAQrAaFgA7t27VyVKlNC0adNkX7Gz261XAEMLQPuWbrp06cLSoHnz5rJjg4KC/rMArFGjhnP1cMiQIXdMn+7du9/x6iAFoA+fNg5B4P8FllgFYKP/LwBfrZBN3R7Pp8vXrit3178f+FjXvaYSx/37+355uk2xHga5ofkdqipT8vgYIoAAAq4IUABGwwJwwoQJeuqpp8I9qHH9+nXFiBHDWig2pvOgR86cOR/ILWCuALryuaMTjwss3H5M//t2qaOQIE4sLeoUqNjWIs/5/3/Jl809ayue9XO72cvA2MvBzGlXRVlTJvC4HMNHAAG3BCgAo2EBePbsWedW7q3Nvp2bJ08e56EPe6kX+9ZvmzZt1KFDB+ewK1euKHXq1Lc9BDJ69GjnKWK7HTx40FkChodA3Pp40Q8CdxaYu/Womny/LOyXHz1bSLXypb3jos+Fe0zT6YtXNePdysqZOiGkCCCAgCsCFIDRsAC80zt/6y1g+/f20772+oDDhw9Xrly51LdvX82ZM+e2ZWAmTZrkLANjP0xirwl4/PhxloFx5aNFJwj8t8CsLYf1yogVYQe8WyNAL5TOrBL/v+3bzn51nSv6dituLQ593FocemrrSsqd9u8lnGgIIICAqQAFoJ8WgKELQdsPc9y6EHSBAgXCcubSpUtq3769833AWxeCth/q8LWRQL5KcRwC/whM23hILUatDPtBk7JZ9HrVnCrdd6ZiWbeCd1j7/oa20O3hJr9dUfnS86AVeYQAAu4IMH/7SQHoTjrcfy8k0P2bEYHAlPUH1erHVWEQjxVMp05186hC/9l6NLb1Pd7edcJ+V67fTB04fUkT36ygghmTgIcAAgi4IsD8TQFolEgkkBEfwR4VmLj2gN4auzps9KWzJVf/ZwqpysdzlNDa7m2Dte1baKv40SztPXFR418vp6KZ/1mz06N0DBsBBFwSYP6mADRKJRLIiI9gjwpMWL3fWQjavt173VrlOUeqBBrauLiqfzpPSeM/ojXv1wyTqWoVhTuPndevr5VViazJPSrGsBFAwG0B5m8KQKOcIoGM+Aj2qMCvK/ep3S9rnQWg95+66BR941qUUe2B85UyYRyt6FojTCbwkznacfS88/sy2VN4VIxhI4CA2wLM3xSARjlFAhnxEexRgZ+W71HH39Zbt3STavWeU47ChDfKq/6ghUqbOK6WdA4Mk6n12TwFHz6rH5uVVvmcKT0qxrARQMBtAeZvCkCjnCKBjPgI9qjAj0t3q8v4DaqeN41mBx9xbgPbt4BbWk8GZ0wWTws6VguTqfv5fG06eEYjXymlygGpPCrGsBFAwG0B5m8KQKOcIoGM+Aj2qMAPi3fp/T82qm7BtFq+66SOnr2sHk/m1wd/blQ2a7eP2dauH6Htya8WaN2+0/r+5RKqlieNR8UYNgIIuC3A/E0BaJRTJJARH8EeFfh+wU71nLRJTxROr+1HzmmzdYWvVZUc+nrODme3D3vXj9D21OCFzm3iYdYVwpr503pUjGEjgIDbAszfFIBGOUUCGfER7FGBb+aFqM/kzXqqaAYdO3dZ87cd09PWn3+3ng7OY+32EWTt+hHanhuyyLlKOOTFYqpdIJ1HxRg2Agi4LcD8TQFolFMkkBEfwR4VsK/09Q/aomeLZ9S16zc0Yc0BlcuRQot2HFfBDEk08a0KYTKNhi3WkpAT+uqFonq8UHqPijFsBBBwW4D5mwLQKKdIICM+gj0q8NWsbfp42lY1KpnJWfj5W+uWcHbru38h1np/9pPB418vHybz4rdLtWD7MX3eqIjqFcngUTGGjQACbgswf1MAGuUUCWTER7BHBQbO2KqBM7bpf6UzW0/9xneuBsaPE0sXrlxXKWux55+tRZ9DW5Pvl2nu1qP65LnCesa6YkhDAAEE3BBg/qYANMojEsiIj2CPCnw8NVhfzd6ul8tlVf70idX+13VhEmWtxZ7HWos+h7ZXRyzXzC1H9JG1VVwD64ohDQEEEHBDgPmbAtAoj0ggIz6CPSrw4ZQtGjJ3h16tkE0VrMWdm1pFXmirmCulRr1aOuzvzX9YoembDqvvUwX1gnXFkIYAAgi4IcD8TQFolEckkBEfwR4V6PPXJn0zf6daVsruPNjxhLXWX2irlie1teZfybC/txq9UlM2HFKvevnVuGxWj4oxbAQQcFuA+ZsC0CinSCAjPoI9KtBj4kYNX7hLr1tr/zWxbgOX7jszTKJmvjQa9lKJsL+/OWaVJq07qA+eyKem5bN5VIxhI4CA2wLM3xSARjlFAhnxEexRgff/2KAfFu/W29Vyqk2NABX4YKrOWw+A2M3eHWTw/4qHybQet9pZJqbrY3nVrGJ2j4oxbAQQcFuA+ZsC0CinSCAjPoI9KtB5/HqNWbpHbaoH6J3qufT4l/O1Yf8ZR+NJa3eQL54vGibT9ue1+m3VPnWqk0ctK+fwqBjDRgABtwWYvykAjXKKBDLiI9ijAh2tp35/WrFX7Wvl1htVc+rtsav159oDjsbTxTLo0wZFwmT+faxHyRg2Agi4LMD8TQFolFIkkBEfwR4VCL2q9551Ve8166pe6LqANkfDEpnU/9lCYTKhVwvftW4Vvx2Yy6NiDBsBBNwWYP6mADTKKRLIiI9gjwr8+3t9f6zZr3fGrXE07MWh+1hLvoS2sO8LWsWfXQTSEEAAATcEmL8pAI3yiAQy4iPYowL/frJ3w/7T1vcA/14KpknZLOpRr0CYTOgTw29UzWHdMs7jUTGGjQACbgswf1MAGuUUCWTER7BHBf69tt/5y9eU33oS2G7PWtu9fWxt+xbaek/a5OwV3LJydutBkLweFWPYCCDgtgDzNwWgUU6RQEZ8BHtU4E67e2R97y9Ho3S25Pqp5T97AfebsllD54aombVrSNfH83lUjGEjgIDbAszfFIBGOUUCGfER7FGBV6yt32b9a3/f0AIwXZK4WtwpMExmwNQtGjR7h7NvcPcn83tUjGEjgIDbAszfFIBGOUUCGfER7FGBl75fpnlbj+oT61bvM9YtX7s9NXihVu85ddt3AD+dvlVfzNymxmWyqFf9f74b6FE6ho0AAi4JMH9TABqlEglkxEewRwX+9+0SLdx+XJ83KqJ6RTI4CqcuXNH0TYetnUDSKcGjscNk7OLPLgJfsJ4O7nvL08EepWPYCCDgkgDzNwWgUSqRQEZ8BHtUoOHQxVq684S+eqGoHi+U/q4Kg2Zv14CpwbetD+hROoaNAAIuCTB/UwAapRIJZMRHsEcFnv16kVbsPqkhLxZT7QLp7qowdO4O9ZuyRc8Uy6hPGvzzdLBH6Rg2Agi4JMD8TQFolEokkBEfwR4VqD9oodbsPaVvXiqhGvnS3FXh2/kh6v3XZtUvkl4DG/2zR7BH6Rg2Agi4JMD8TQFolEokkBEfwR4VeMJa9Hm9tfjz8JdLqmqe1HdVGLFwp7pP3GTdKk5n3TIu5lExho0AAm4LMH9TABrlFAlkxEewRwXqfD5fmw+e0Q+vlFKlgFR3VRi1ZLe6TdigOgXS6usXi3tUjGEjgIDbAszfFIBGOUUCGfER7FGBmp/N1dbD5zSmeWmVy5Hyrgo/Ld+jjr+tVzXrSuH31hVDGgIIIOCGAPM3BaBRHpFARnwEe1Sg2idzFHL0vH62dvwoZe38cbf217qDemPMKpXKmlw/v/bPDiEepWPYCCDgkgDzNwWgUSqRQEZ8BHtUoPKA2dp9/IJ+a1VOxbMku6uCvWC0vXB0nrSJFNS6kkfFGDYCCLgtwPxNAWiUUySQER/BHhUo/+Es7T91UX+8UV6FMyW9q8LqPSetXfwQJnUAACAASURBVEIWKWOyeFrQsZpHxRg2Agi4LcD8TQFolFMkkBEfwR4VKNN3pg6duaRJb1VQgQxJ7qqw/chZVf90npLEe0RrP6jpUTGGjQACbgswf1MAGuUUCWTER7BHBUr0nq5j565Yt3QrWrd2E99V4bBVKJa2CsZYMWNoe586ihEjhkfVGDYCCLgpwPxNAWiUTySQER/BHhUo0nOatffvVc14t5Jypk50V4Xzl68p/wdTnWM29ayl+HH+2SfYo3wMGwEEXBBg/qYANEojEsiIj2CPChS0CrqzVmE3u10VZUuZ4K4KN2/eVI7Ok3XjprSsc6BSJ47rUTWGjQACbgowf1MAGuUTCWTER7BHBfJ2C9LFq9c1v0NVZUoe/54KhbpP1ZlL16wrhpWtK4YJ73k8ByCAAAL3EmD+pgC8V47c9fckkBEfwR4VCOgyRVeu39Ci96opfdJ491QIfWp4gvXUcJF7PDV8z844AAEEELAEmL8pAI0+CCSQER/BHhXI3umv+7qlW3vgPG05dFajXi2lirnuvnWcR0kZNgII3KcA8zcF4H2mTPjDSSAjPoI9KHDD+jJfdus7fXZb2bW6UiR89J4Kzw1ZpOW7Tmrw/4qpbsF09zyeAxBAAIF7CTB/UwDeK0fu+nsSyIiPYA8KXLVu/eaybgHbbe37NZUk/iP3VHhlxHLN2nJEHz1TSA1KZrrn8RyAAAII3EuA+ZsC8F45QgFoJEQwAuEFLlkPf+SxHgKx24YetZTw0Xsv6/L22NX6c+0BdX0sr5pVzA4pAgggYCxAAUgBaJREJJARH8EeFDhnLf9S4P/X9dvSq7biPhLrngpdxq/Xj0v3qHX1XNZ/Afc8ngMQQACBewkwf1MA3itHuAJoJEQwAuEFTlsLQBe2FoK22zZrZ49HYsW8J9GHU7ZoyNwderVCNnV7PN89j+cABBBA4F4CFIAUgPfKEQpAIyGCEQgvcPzcZRXvPcP5YUjfuoppbfF2rzZo9nYNmBqshiUyqf+zhe51OL9HAAEE7ilAAUgBeM8kudsBJJARH8EeFDhi7e1bytrb1677Qvo95pPAD4t36f0/NlpPAKe1ngQu7lMMByGAAALM33fPgRjWVkvWJku0iAhQAEZEjRgvCxw4dVHlPpylONat363WLWBf2u+r9undn9daawCmtNYCLO1LCMcggAACdxVg/uYKoNFHhAQy4iPYgwJ7T1xQxY9mK36cWNrUs7ZPAtM3HVbzH1Y4u4DYu4HQEEAAAVMB5m8KQKMcIoGM+Aj2oMDOY+dV9eM5ShQ3ttZ3r+WTwOIdx/X8N0ucfYDt/YBpCCCAgKkA8zcFoFEOkUBGfAR7UGD7kbOq/uk8JbMWgF5tLQTtS9uw/7Qe/3KB0iR+VEs7V/clhGMQQACBuwowf1MAGn1ESCAjPoI9KLDl0BnVHjhfKa0t4FZYW8H50vYcv6BKA+7vtrEv/XIMAgh4V4D5mwLQKPtJICM+gj0oEHo1L23iuFrSOdAngRPnr6hYr+nOsTuspWNi+bB0jE8dcxACCHhWgPmbAtAo+UkgIz6CPSiwdu8p1Ru0UBmSxtPC96r5JHDl2g0FdL2//YN96piDEEDAswLM3xSARslPAhnxEexBgZW7T+qZrxcpS4r4mtu+qs8Cua0C8LJVCC7oWFUZk8X3OY4DEUAAgTsJMH9H0wLw66+/lv3frl27nPc1f/78ev/991Wnzt/ritlLG/bo0UPDhg3TyZMnVbp0aQ0aNMg5LrRdvnxZ7dq109ixY3Xx4kUFBgZq8ODBypgxo8+fFhLIZyoORMARWLbzhBoMXazsqRJoVtsqPquUsHYPOWbtIjLlnYrKmy6xz3EciAACCFAA3jkHouVC0BMnTlSsWLGUM2dOZ1QjR47UgAEDtHr1aqfI69+/v/r06aMRI0YoICBAvXv31rx58xQcHKxEiRI5Ma1atZLdj31MihQp1LZtW504cUIrV650+valUQD6osQxCPwjsGjHMb3wzVIFpEmoaW18X9KlivUQyC7rYZBfXyurElmTQ4oAAggYCTB/R9MrgHd615MnT+4Uga+88orSp0+v1q1bq2PHjs6h9tW+NGnSOIVhy5Ytdfr0aaVKlUqjRo1Sw4YNnWMOHDigTJkyafLkyapVy7f1yUggo88fwR4UmL/tqBp/t8y5imdfzfO11R44T1sOndWPzUqrfM6UvoZxHAIIIHBHAeZvPygAr1+/rl9++UVNmjRxrgDGjRtXOXLk0KpVq1S0aNGwN75evXpKmjSpc7Vw1qxZzi1f+4pfsmTJwo4pXLiw6tev79w+9qWRQL4ocQwC/wjM3nJETUcsV8EMSTTxrQo+09T7aoHW7jut718uoWp50vgcx4EIIIDAnQSYv6NxAbh+/XqVLVtWly5dUsKECTVmzBjVrVtXixYtUvny5bV//37nSmBoa9GihXbv3q2pU6c6xzZt2tS5Mnhrq1mzprJly6ahQ4fe8RNjH39rjJ1A9lVD+4pi4sR8L4l/ZhC4l0BEt3Wzvzdof39w8P+KqW7BdPc6Db9HAAEE7ipAARiNC8ArV65oz549OnXqlH777Td9++23mjt3rvN3uwC0b+mmS/fPRNG8eXPt3btXQUFB/1kA1qhRw7l6OGTIkDsmTvfu3e94dZACkH9pEPBNIGjDQb02epVKZEmmX1uV8y3IOqrxd0s1f9sxfdawsJ4q6vuDWj6fgAMRQMBTAhSA0bgA/HemVq9e3Sne7O/9PahbwFwB9NS/Dwz2AQhMWndAb45ZrdLZkuunlmV9PkOzkSs0Y/Nhffh0QTUqldnnOA5EAAEE7iRAAehHBaD9nT77duzw4cOdW79t2rRRhw4dnPfdvlqYOnXq2x4CGT16tBo0aOAcc/DgQWcJGB4C4R8LBB6cwB9r9uudcWusBzlSWA90lPH5RG+MWaW/1h1Ujyfzq0m5rD7HcSACCCBAAXjnHIiWy8B07tzZWfPPLvjOnj2rcePG6cMPP3Ru79q3ce2nffv16+cUg7ly5VLfvn01Z86c25aBmTRpkrMMjP0Esb0m4PHjx1kGhn8rEHiAAr+t3Ke2v6xVpYBU+uGVUj6f6d2f1+j3VfvVqU4etaycw+c4DkQAAQQoAP2oAHz11Vc1c+ZM56pdkiRJVKhQIefWr1382S10IWj7YY5bF4IuUKBAmIL98Ej79u2d7wPeuhC0XVT62riE7KsUxyHwt8DPy/eqw2/rrCd5U1tP9Jb0maXz+PUas3SP3q0RoLcDc/kcx4EIIIAABaAfFYBRJZ0pAKPKO8HriC4CdhFnF3M18qXRNy+V8Pll95i4UcMX7tIbVXOofa08PsdxIAIIIEABSAHo+qeAAtB1Ujr0c4FRi3ep2x8bVadAWn39YnGfR/vhlC0aMneHmlXIpq6P5/M5jgMRQAABCkAKQNc/BRSArpPSoZ8LDF+4Uz0mbtLjhdLpqxeK+Tzaz6Zv1eczt6lxmSzqVf+fr3L43AEHIoAAArcIMH/70VPAkZHZJFBkqHPO6Czw7fwQ9f5rs7WWXwZrTb8iPg9l8Jzt+igoWM8Vz6gBzxX2OY4DEUAAAa4AcgXQ9U8BBaDrpHTo5wL2bVz7du6zViH38X0Uct8v2KmekzbpycLp9cXz/2zx6OdcDA8BBB6QAPM3VwCNUosEMuIj2IMCg2Zv14CpwWpUMpM+fKaQzwI/Lt2tLuM3qFb+NBra2PeHR3w+AQcigICnBJi/KQCNEp4EMuIj2IMCn8/Yps9mbNX/SmdWn6cK+izwq7V+YDtr/cAquVNpRFPf1w/0+QQciAACnhJg/qYANEp4EsiIj2APCnw6LVhfzNquJmWzqEc93x/mmLj2gN4au1plsifXuBa+byHnQWKGjAACPggwf1MA+pAm/30ICWTER7AHBT4K2qLBc3bolfLZ9P4Tvi/nMm3jIbUYtVJFMyfV+NfLe1COISOAgJsCzN8UgEb5RAIZ8RHsQYF+kzdr6LwQtaiUXZ3r5vVZYN7Wo3rp+2XKly6xJr9T0ec4DkQAAQTuJMD8TQFo9MkggYz4CPagQC/rSd7vrCd6W1XJoY61fd/RY2nIcTUctkQ5UiXQzLZVPCjHkBFAwE0B5m8KQKN8IoGM+Aj2oED3PzdqxKJdeqtaTrWtmdtngTV7T6n+oIXKmCyeFnSs5nMcByKAAAJcAbxzDsS4aTXSI2ICFIARcyPKuwJdJ6zX6CV71Lp6Luu/AJ8hNh88ozqfz1fKhI9qRdfqPsdxIAIIIEABSAHo+qeAAtB1Ujr0c4FOv6/T2GV71a5mgN6slsvn0YYcPadqn8xVorixtb57LZ/jOBABBBCgAKQAdP1TQAHoOikd+rHAvpMXnO3c/rSWdLG//2d/D9DXduDURZX7cJbixI6prb3r+BrGcQgggMAdBZi/+Q6g0UeDBDLiI9hDAhv2n9bjXy4IG3EX6wng5taTwL624+cuq3jvGc7hO/vVVYwYMXwN5TgEEEDgNgHmbwpAo48FCWTER7CHBOz9f+19gEPb+4/n0ysVsvkscO7yNRX4YKpz/JZetRX3kVg+x3IgAggg8G8B5m8KQKNPBQlkxEewhwTGLduj935fHzbinvXy66WyWX0WuHr9hnJ1meIcv/b9mkoS/xGfYzkQAQQQoAC8PQd4Ctjgc0EBaIBHqKcEfl6+Vx1+Wxc25j5PFbD2A87is4G9WEGOzpN1w1qzYFnnQKVOHNfnWA5EAAEEKAApAF39FFAAuspJZ34sMGrJbnWbsCFshP2fKaiGJTPf14jzvR+kC1eua36HqsqUPP59xXIwAgggcKsA8ze3gI0+ESSQER/BHhL43tr9o6e1C0ho+/i5wnq2eMb7Eijac5pOXriqGe9WUs7Uie4rloMRQAABCsDwOcAtYIPPBAWgAR6hnhKwHwCxHwQJbQMbFlH9ohnuy6BM35k6dOaSJr1VQQUyJLmvWA5GAAEEKAApAF37FFAAukZJR34u8OXMbfpk+tawUfZ9qqBeKH1/t4ArD5it3ccv6LdWZVU8S3I/F2N4CCDwIAWYv7kFbJRfJJARH8EeEvhkWrC+nLU9bMT3uxWcHVjzs7naevicxjQrrXI5U3pIj6EigIDbAszfFIBGOUUCGfER7CGBflM2a+jcEGfEGZPF088tyyp90nj3JfDkVwu0bt9pDX+5pKrmSX1fsRyMAAII3CrA/E0BaPSJIIGM+Aj2kECPiRs1fOEuvW5t/9bB2gYuIu25IYu0fNdJDXmxmGoXSBeRLohBAAEEHAHmbwpAo48CCWTER7CHBLpOWK/RS/boncBcalMjIEIjf/HbpVqw/Zgi8gBJhE5IEAII+K0A8zcFoFFyk0BGfAR7SKDDr2v184p9al8rt96omjNCI391xHLN3HJEEVlDMEInJAgBBPxWgPmbAtAouUkgIz6CPSTQ5qc1Gr96v7rUzavmlbJHaOSv/7hSk9cf0v1uIxehkxGEAAJ+LcD8TQFolOAkkBEfwR4SeOPHVfpr/UH1eDK/mpTLGqGRu1FERujEBCGAgN8JMH9TABolNQlkxEewhwSa/7BC0zcdVkTW/wtl6vT7Oo1dtldtre8QvmV9l5CGAAIIRFSA+ZsCMKK548SRQEZ8BHtIoMn3yzR361FFZAu4UKbuf27UiEW79Kb1HcJ21ncJaQgggEBEBZi/KQAjmjsUgEZyBHtN4IVvlmjRjuP6vFER1Styf1vAhVr1m2ytJTgvRM0rZlOXx/J5jZDxIoCAiwIUgBSARulEAhnxEewhgWe/XqQVu83W8PvU2k3kC2s3kZfKZrEeBCngIT2GigACbgswf1MAGuUUCWTER7CHBOpZu3istXbx+K5JCQXmTROhkQ+avV0DpgarYYlM6v9soQj1QRACCCBgCzB/UwAafRJIICM+gj0kUHvgPG05dFajXi2lirlSRWjk384PUe+/Nlu3kNNbt5KLRqgPghBAAAEKwL9zIMZNq5EOEROgAIyYG1HeEwj8ZI52HD2vcS3KqEz2FBECGLVkt7pN2KDa+dNqSOPiEeqDIAQQQIACkALQ+FNAAWhMSAceEaj40SztPXFRv79eTsUyJ4vQqH9esVcdfl2nqrlTaXjTUhHqgyAEEECAApAC0PhTQAFoTEgHHhEo03emDp25pElvVVCBDEkiNOo/1uzXO+PWqFyOFBrTvEyE+iAIAQQQoACkADT+FFAAGhPSgUcEivearuPnr2ham0oKSJMoQqOeuvGQWo5aqaKZk2r86+Uj1AdBCCCAAAUgBaDxp4AC0JiQDjwiUPCDqTp7+Zpmt6uibCkTRGjUi611BJ+31hPMniqBZrWtEqE+CEIAAQQoACkAjT8FFIDGhHTgEYHcXafo8rUbWvheNWVIGi9Co95y6IxqD5yvFAniaGW3GhHqgyAEEECAApAC0PhTQAFoTEgHHhCwFxrI3nmy7PUGlnUJVOpEcSM06kOnL6lMv5mKFTOGtvepoxgxYkSoH4IQQAAB5m+WgTH6FJBARnwEe0Tg2vUbytllijPate/XVJL4j0Ro5JeuXleebkFO7PruNZUobsT6idDJCUIAAb8SYP6mADRKaBLIiI9gjwhcuHJN+d6f6ox2U89aih8ndoRHHnoreX6HqsqUPH6E+yEQAQS8LcD8TQFo9AkggYz4CPaIwOkLV1W45zRntPat29ixYkZ45KHLyUx8s4IKZozYcjIRPjmBCCDgNwLM3xSARslMAhnxEewRgSNnL6lUn5nWd/akkL51jb6758aWch5hZ5gIIHAXAeZvCkCjDwgJZMRHsEcE9p+6qPIfztKjsWMquHcdo1E3HLpYS3ee0JfPF9UThdMb9UUwAgh4V4D5mwLQKPtJICM+gj0isPPYeVX9eI4SPRpb63vUMhp1y1ErNHXjYfWql1+Ny2Y16otgBBDwrgDzNwWgUfaTQEZ8BHtEYOvhs6r52TxX1u9777d1Grd8r9rWCNBbgbk8IsgwEUDAbQHmbwpAo5wigYz4CPaIwIb9p/X4lwuUNnFcLekcaDTqflM2a+jcEL1aIZu6PZ7PqC+CEUDAuwLM3xSARtlPAhnxEewRgVV7TurpwYusZVviaX6Hakaj/nrODvUP2qJnimXUJw0KG/VFMAIIeFeA+ZsC0Cj7SSAjPoI9IrAk5LgaDVuiHNYevjMN9/Adu2yPOv2+XtXzpta3TUp6RJBhIoCA2wLM3xSARjlFAhnxEewRgfnbjqrxd8uUJ20iBbWuZDTqKesPqtWPq1Q8SzL91qqcUV8EI4CAdwWYvykAjbKfBDLiI9gjAjM3H9arI1eosLVw8x/WAs4mbfGO43r+G3euJpq8DmIRQCB6CzB/UwAaZTAJZMRHsEcEgjYc1GujV6mEddXuV8OrdpsPnlGdz+crZcI4WtG1hkcEGSYCCLgtwPxNAWiUUySQER/BHhH4Y81+vTNujcrlSKExzcsYjfrg6Ysq22+WYseMoW3WtnIx7O1FaAgggMB9CjB/UwDeZ8qEP5wEMuIj2CMCv67cp3a/rFXlgFQa+Uopo1FfvHJded8PcvpY372mEsV9xKg/ghFAwJsCzN/RtADs16+ffv/9d23ZskXx4sVTuXLl1L9/f+XOnTssk2/evKkePXpo2LBhOnnypEqXLq1BgwYpf/78YcdcvnxZ7dq109ixY3Xx4kUFBgZq8ODBypgxo0+fCBLIJyYO8rjAmKV71Hn8etXIl0bfvFTCWCN31ym6fO2GtaRMVWtpmfjG/dEBAgh4T4D5O5oWgLVr11ajRo1UsmRJXbt2TV26dNH69eu1adMmJUiQwMlkuyDs06ePRowYoYCAAPXu3Vvz5s1TcHCwEiVK5BzTqlUrTZw40TkmRYoUatu2rU6cOKGVK1cqVqxY9/xEkED3JOIABDRy0S598OdGPVYwnQb9r5ixSOm+M3T4zGVNequCCmRIYtwfHSCAgPcEmL+jaQH471Q9evSoUqdOrblz56pSpUqyr/6lT59erVu3VseOHZ3D7at9adKkcQrDli1b6vTp00qVKpVGjRqlhg0bOsccOHBAmTJl0uTJk1Wr1r33LCWBvPePBiO+f4Fv5oWoz+TNeqpoBn3WsMj9d/CviFrWtnLB1vZyo18trQq5Uhr3RwcIIOA9AeZvPykAt2/frly5cjlXAQsUKKCQkBDlyJFDq1atUtGiRcMyu169ekqaNKlGjhypWbNmObd87St+yZIlCzumcOHCql+/vnP7+F6NBLqXEL9HQBo0e7sGTA1WgxIZ9dGz5rt3PDdkkZbvOqnB1tXEutZVRRoCCCBwvwLM335QANpX++zCzv6e3/z5850cWLRokcqXL6/9+/c7VwJDW4sWLbR7925NnTpVY8aMUdOmTZ0rg7e2mjVrKlu2bBo6dOht+WQfe+vxdgLZVwztq4mJEye+3/zjeAQ8IfDZ9K36fOY2vVgms3rXL2g85sbfLdX8bcesq4mFrauKvn1f1/ikdIAAAn4lQAHoBwXgG2+8ob/++ksLFiwIe3gjtAC0b+mmS/fPFYLmzZtr7969CgoK+s8CsEaNGs7VwyFDhtyW7N27d7/jlUEKQL/6d4HBuCzwkbV372BrD9+m5bPqgyf+eQgroqdpNnK5Zmw+og+fLqhGpTJHtBviEEDAwwIUgNG8AHzrrbc0YcIE5+EO+6pdaHtQt4C5Aujhfy0YeoQE7Cv0ff7arG8X7FTLytnVqU7eCPVza9Ab1lZwf1lbwvV4Mr+alMtq3B8dIICA9wQoAKNpAWhPKnbxN378eM2ZM8f5/t+tLfQhkDZt2qhDhw7Or65cueI8KPLvh0BGjx6tBg0aOMccPHjQuYrIQyDe+8eAEbsvYO/a8dL3y3Ti/BVdv2F9ZqvlVNua/yzVFNEzvvvzGv2+ar9VTOaxisocEe2GOAQQ8LAABWA0LQBff/115xbuH3/8EW7tvyRJkjjrAtrNLvTs9QKHDx/uFIh9+/Z1isV/LwMzadIkZxmY5MmTO2sCHj9+nGVgPPyPAkN3T+DVEcs1c8uRsA7b1gjQW4Hh/89aRM7W6ff1Grtsj961+nvbhf4i8hqIQQCB6C1AARhNC8D/2v7JLvZefvllJytDF4K2H+a4dSFo+ynh0Hbp0iW1b9/eKSZvXQjafrDDl0YC+aLEMV4VeGOMdat23cGw4b9nXbF7zYUrdt2tNQVHWGsLvlE1h9rXyuNVXsaNAAIGAszf0bQANHjPXQ0lgVzlpDM/E+jz1yZ9M39n2KjefzyfXqnwz3d1IzrcflM2a+jcEDWz+upq9UlDAAEE7leA+ZsC8H5zJtzxJJARH8F+LvDptGB9MWt72Ch71S+gxmWyGI/6U2tZmS+sZWXsvuw+aQgggMD9CjB/UwDeb85QABqJEewlgX7W7h9DrV1AQttHzxRSg5K+fb3ibk6D52zXR0HBeq54Rg14znxhaS+9J4wVAQT+FqAApAA0+iyQQEZ8BPu5QOh39UKH6dbCzd9ZS8r0mrRJTxZOry+e/2enHz/nZHgIIOCiAPM3BaBROpFARnwE+7lAp9/XWU/r7g0b5aAXiumxQuZbt41esltdJ2xQrfxpNLRxCT9XZHgIIPAgBJi/KQCN8ooEMuIj2M8FQtfrCx3msMbFVTN/WuNR/7Jir9r/uk5VcqfSiKaljPujAwQQ8J4A8zcFoFHWk0BGfAT7ucC/l4EZ0bSkVbSlNh71n2sP6O2xq1U2ewqNbVHGuD86QAAB7wkwf1MAGmU9CWTER7CfCzQbucLas/dw2Ci/a1JCgXnTGI962sZDajFqpYpmTqrxr5c37o8OEEDAewLM3xSARllPAhnxEeznAvY2cPO2Hg0b5cCGRVS/aAbjUc+1+mxi9Z0vXWJNfqeicX90gAAC3hNg/qYANMp6EsiIj2A/F2g4dLGW7jyh7CkTKGHc2Bpn3a6NHye28aiXhBxXo2FLlCNVAs1sW8W4PzpAAAHvCTB/UwAaZT0JZMRHsJ8L1B+0UGv2ntI3L5VQjXzmt35DuVbvOamnBi9SxmTxtKBjNT9XZHgIIPAgBJi/KQCN8ooEMuIj2M8F6n4+X5sOntHIV0qpckAq10a72eqzjtV3qkSPanmX6q71S0cIIOAdAeZvCkCjbCeBjPgI9nOBwE/maMfR886t3zLWE7tutZCj51Ttk7lKZN1WXt+9llvd0g8CCHhIgPmbAtAo3UkgIz6C/VygQv9Z2nfyovWkbjnrid1kro12/6mLKv/hLMWJHVNbe9dxrV86QgAB7wgwf1MAGmU7CWTER7CfC5TqM0NHzl7WX29XUP70SVwb7bFzl1Wi9wynv5396ipGjBiu9U1HCCDgDQHmbwpAo0wngYz4CPZzgcI9pun0xaua8W5l5Uyd0LXRnr10VQW7T3P629KrtuI+Esu1vukIAQS8IcD8TQFolOkkkBEfwX4ukKfbFF26ekPzO1RVpuTxXRvt1es3lKvLFKe/tR/UVJJ4j7jWNx0hgIA3BJi/KQCNMp0EMuIj2I8Fbt68qRydJ+vGTWlZl0ClThTXtdGG67uz1Xdi9/p27UXSEQIIRGkB5m8KQKMEJYGM+Aj2Y4FwV+net67SxXf3Kl3ebkG6ePW661cX/fgtYWgIIHCLAPM3BaDRB4IEMuIj2I8Fzl2+pgIfTHVG+CC+p1ek5zSdumB/v7CS9f3CRH4sydAQQOBBCDB/UwAa5RUJZMRHsB8LnDh/RcV6TXdGGNK3rmLGdPdJ3dJ9Z+jwmcua9FYFFcjg3hPGfvyWMDQEEOAKYLgciGF9n8b6lg4tIgIUgBFRI8YLAgdPX1TZfrP0SKwY2tanrutDrjxgtnYfv6DfWpVT8SzurTHo+gulQwQQiJICzN9cATRKTBLIiI9gPxbYdey8qnw8Rwkfja0NPdzfraPmZ3O19fA5jWlWWuVypvRjSYaGAAIPQoD5mwLQKK9IICM+gv1YYOvhs6r52TylSBBHF6LQRAAAIABJREFUK7vVcH2kT3y5QOv3n9bwl0uqap7UrvdPhwgg4N8CzN8UgEYZTgIZ8RHsxwLr953WE18tULokcbW4U6DrI33260VasfukhrxYTLULpHO9fzpEAAH/FmD+pgA0ynASyIiPYD8WWLHrhJ4dslhZU8TXnPZVXR/pi98u1YLtx/R5oyKqVySD6/3TIQII+LcA8zcFoFGGk0BGfAT7scAiqzh7wSrScqdJpKltKrk+0ldHLNfMLUf00TOF1KBkJtf7p0MEEPBvAeZvCkCjDCeBjPgI9mOB2VZx1tQq0gpaS7RMtJZqcbu9/uNKTV5/SD3r5ddLZbO63T39IYCAnwswf1MAGqU4CWTER7AfCwRtOKjXRq9SCWuJll+tpVrcbm1+WqPxq/erS928al4pu9vd0x8CCPi5APM3BaBRipNARnwE+7HAH2v2651xa1Q+Zwr92KyM6yN977d1Grd8r9rVDNCb1XK53j8dIoCAfwswf1MAGmU4CWTER7AfC/y8Yq86/LpOVXOn0vCmpVwfafc/N2rEol16q1pOta2Z2/X+6RABBPxbgPmbAtAow0kgIz6C/Vhg1JLd6jZhg2rnT6shjYu7PtJ+kzdr6LwQtbBu/3a2bgPTEEAAgfsRYP6mALyffLntWBLIiI9gPxb4bsFO9Zq0yVqiJb21VEtR10f66bRgfTFru/UASBbrQZACrvdPhwgg4N8CzN8UgEYZTgIZ8RHsxwKD52zXR0HBeq54Rg14rrDrIx00e7sGTA1WwxKZ1P/ZQq73T4cIIODfAszfFIBGGU4CGfER7McCn03fqs9nbtOLZTKrd/2Cro/02/kh6v3XZtW3rjAOfABXGF1/wXSIAAJRSoD5mwLQKCFJICM+gv1YoH/QFn09Z4derZBN3R7P5/pIQ79jWKdAWn39ovvfMXT9BdMhAghEKQHmbwpAo4QkgYz4CPZjgZ4TN+n7hTvVqkoOdaydx/WRhj5lXC1Pan3/cknX+6dDBBDwbwHmbwpAowwngYz4CPZjgS7j1+vHpXvUunou678A10caus5guRwpNKa5++sMuv6C6RABBKKUAPM3BaBRQpJARnwE+7FA+1/W6peV+5yrf/ZVQLdb0IZD1k4jK1Xc2mnktwew04jbr5f+EEAgagkwf1MAGmUkCWTER7AfC7w9drX+XHvA+f6f/T1At9vsYGuv4eHLVSBDYk16q6Lb3dMfAgj4uQDzNwWgUYqTQEZ8BPuxQMtRKzR142HrCeAC1pPAWVwf6eIdx/X8N0uUK3VCTX+3suv90yECCPi3APM3BaBRhpNARnwE+7HAy8OXaU7wUQ2w1uh7zlqrz+22Zu8p1R+0UOmTxNWiToFud09/CCDg5wLM3xSARilOAhnxEezHAi9YV+cWWVfpPm9UxNoNJIPrIz10+pLK9JupWDFjKLhXbcWOFdP1c9AhAgj4rwDzNwWgUXaTQEZ8BPuxwDNfL9LK3Sc1xFqjr7a1Vp/b7caNm8rdbYquXr+pRe9VU/qk8dw+Bf0hgIAfCzB/UwAapTcJZMRHsB8LPP7lfG3Yf0bDm5ZU1dypH8hIK340S3tPXNQvr5VVyazJH8g56BQBBPxTgPmbAtAos0kgIz6C/Vig5mdztfXwOY1pVlrlcqZ8ICNtNGyxloSc0MCGRVS/qPu3mR/Ii6ZTBBCIEgLM3xSARolIAhnxEezHApUHzNbu4xesNfrKWmv1PZirc21/XqvfVu1T+1q59UbVnH6sydAQQMBtAeZvCkCjnCKBjPgI9mOBMn1n6tCZS9YafRWstfqSPJCRfjotWF/M2q4XSmdW36cKPpBz0CkCCPinAPM3BaBRZpNARnwE+7FAsV7TdeL8FU1rU0kBaRI9kJH+tHyPOv62XpUDUmnkK6UeyDnoFAEE/FOA+ZsC0CizSSAjPoL9VODq9RvK/8FUXbl2Q/PaV1XmFPEfyEgXbDumF79bqpzWYtAzWAz6gRjTKQL+KsD8TQFolNskkBEfwX4qsDTkuBoOW6LkCeJoRZfqimmt1fcg2s5j51X14zmK90gsbepZSzFiPJjzPIjXTp8IIBC5AszfFIBGGUgCGfER7KcC/YO26Os5O1S/SHoNbFT0gY3y0tXrytMtyOl/dbcaSmYVnDQEEEDAFwHmbwpAX/LkP48hgYz4CPZTgTqfz9fmg2ceyvIsJXrP0LFzlx/owyZ++jYxLAQ8LcD8TQFo9AEggYz4CPZDgcPWk7+lrSeA7buxK7vWcG4DP8hWz9oPeK21L/CD2nHkQb52+kYAgcgTYP6mADTKPhLIiI9gPxQYs3SPOo9fr8KZkuqPN8o/8BG+NmqlgjYeUs96+fVS2awP/HycAAEE/EOA+ZsC0CiTSSAjPoL9TMD+Tl7gJ3O1/9RFdaqTRy0r53jgI+zw61r9vILFoB84NCdAwM8EmL8pAI1SmgQy4iPYzwS+mrVNH0/bqvRJ4mpm2yqKFyfWAx9hz4mb9P3CnWpVJYc61s7zwM/HCRBAwD8EmL8pAI0ymQQy4iPYjwTstf+K9pyuc5ev6fNGRVSvyMPZm/fT6Vv1xcxtalwmi3rVL+BHogwFAQQepADzdzQtAOfNm6cBAwZo5cqVOnjwoMaPH6/69euH5crNmzfVo0cPDRs2TCdPnlTp0qU1aNAg5c+fP+yYy5cvq127dho7dqwuXryowMBADR48WBkzZvQ550ggn6k40M8FTl24oiJWAWi3bX3q6JFYMR/KiIfN26G+k7foqaIZ9FnDIg/lnJwEAQSivwDzdzQtAKdMmaKFCxeqWLFieuaZZ24rAPv3768+ffpoxIgRCggIUO/evWUXjcHBwUqU6O9tqVq1aqWJEyc6x6RIkUJt27bViRMnnKIyVizfbl2RQNH/HwFG4I7AodOXVKbfTMW2Fn3e3reuO5360EvoQyfV86bRt01K+BDBIQgggIDE/B1NC8Bbk9de/f/WK4D21b/06dOrdevW6tixo3OofbUvTZo0sgvDli1b6vTp00qVKpVGjRqlhg0bOsccOHBAmTJl0uTJk1WrVi2fPh8kkE9MHOQBgd3Hz6vygDlKYH3vb2PP2g9txH+uPaC3x65WmezJNa5F2Yd2Xk6EAALRW4D52w8LwJCQEOXIkUOrVq1S0aL/7EJQr149JU2aVCNHjtSsWbOcW772Fb9kyZKFZXHhwoWdW8n27WNfGgnkixLHeEEg+NBZ1Ro4Tymsdf9WWrtyPKw2e8sRNR2xXAUyJLYWg674sE7LeRBAIJoLMH/7YQG4aNEilS9fXvv373euBIa2Fi1aaPfu3Zo6darGjBmjpk2bOlcGb201a9ZUtmzZNHTo0Dumtn38rTF2AtlXDe0riokTJ47mHwdePgIRF7AXY7YXZbafAF7UKTDiHd1n5PJdJ/TckMXKmiK+5rSvep/RHI4AAl4VoAD04wLQvqWbLl26sNxu3ry59u7dq6CgoP8sAGvUqOFcPRwyZMgdPxPdu3e/49VBCkCv/hPCuEMFlu08oQZDFyt7ygSa1a7KQ4Oxt5yzt55LmfBRreha/aGdlxMhgED0FqAA9MMC8EHeAuYKYPT+wPPqH5zAvK1H9dL3y5QnbSIFta704E70r573nrigih/NVtxHYmpLrzoP7bycCAEEorcABaAfFoChD4G0adNGHTp0cDL0ypUrSp069W0PgYwePVoNGjRwjrGXk7GXgOEhkOj9oebVR47A9E2H1fyHFSpibQE34SFsARc6yshafiZylDkrAgi4JUABGE0LwHPnzmn79u1OHtgPenz66aeqWrWqkidPrsyZMzuFXr9+/TR8+HDlypVLffv21Zw5c25bBmbSpEnOMjB2nL0m4PHjx1kGxq1PF/14SmCi9TTuW9bTuKWzJddPLR/e07j2AtS5ukxxrNe8X0NJ48fxlDuDRQCBiAlQAEbTAtAu5uyC79+tSZMmTkEXuhC0/TDHrQtBFyjwz04Bly5dUvv27Z3vA966ELT9UIevjQTyVYrj/F3g15X71O6XtaockEojXyn1UIebu+sUXb52Q/M7VFWm5PEf6rk5GQIIRE8B5u9oWgBGlXQjgaLKO8HriGyB0Ut2q+uEDaqVP42GNn64CzKX6D1dx85d0ZR3KipvOp7Gj+xc4PwIRAcB5m8KQKM8JYGM+Aj2I4HvFuxUr0mb9GTh9Pri+X/W33wYQ6wyYLZ2Hb+gX14rq5JZkz+MU3IOBBCI5gLM3xSARilMAhnxEexHAoNmb9eAqcFqUCKjPnq28EMd2eNfzteG/Wc0/OWSqpon9UM9NydDAIHoKcD8TQFolLkkkBEfwX4k8Om0YH0xa7sal8miXvX/+a7twxhio2GLtSTkhL60rjw+YV2BpCGAAAL3EmD+pgC8V47c9fckkBEfwX4k0G/yZg2dF6LmFbOpy2P5HurImo1coRmbD6vf0wX1fKnMD/XcnAwBBKKnAPM3BaBR5pJARnwE+5HAB39s0MjFu/Vm1ZxqVyv3Qx1Z63GrNWHNAXWpm1fNK2V/qOfmZAggED0FmL8pAI0ylwQy4iPYjwTe+22dxi3fq3Y1A/RmtVwPdWRdJ6zX6CV79HZgLr1bI+ChnpuTIYBA9BRg/qYANMpcEsiIj2A/Egi9Ctf1sbxqVvHhXoX7cMoWDZm7Q03KZtHzpTMrd5pEihEjhh/pMhQEEHBbgPmbAtAop0ggIz6C/Uig1eiVmrLhkHrVy6/GZbM+1JGFPoEcetIPre8CNuK7gA/1PeBkCEQ3AeZvCkCjnCWBjPgI9iOBpsOXaXbwUWsJmELWUjC+76bjBsHIRbv0wZ8bw7pKnySuFnUKdKNr+kAAAT8VYP6mADRKbRLIiI9gPxJ44ZslWrTjuD5vVET1imR4qCP7zdqGrq21DV1oq50/rYY0Lv5QXwMnQwCB6CXA/E0BaJSxJJARH8F+JPD04IVateeUtQ1ccWs7uLQPdWRTNx5Sy1Erw84ZGYtRP9QBczIEEDAWYP6mADRKIhLIiI9gPxKo+/l8bTp4RiOallSV3A93N45F24/phW+Xhmnai0Hbi0LTEEAAgf8SYP6mADT6dJBARnwE+5FA4CdztOPoeY1rUUZlsqd4qCNbu/eU6g1aGHbO6nnT6NsmJR7qa+BkCCAQvQSYvykAjTKWBDLiI9iPBMp/OEv7T13U+NfLqWjmZA91ZMGHzqrWwHlh5yyfM4V+bFbmob4GToYAAtFLgPmbAtAoY0kgIz6C/UigRO8ZOnbusqa8U1F50yV+qCO7fuOmXvp+qexC8Ni5KyqWOal+f738Q30NnAwBBKKXAPM3BaBRxpJARnwE+5FAwQ+m6uzla5rdroqypUwQKSObt/WoVQgucwpQuxClIYAAAv8lwPxNAWj06SCBjPgI9iOBgC5TdOX6DS16r5rSJ40XKSNbvuuEnhuy2ClA7UKUhgACCFAA/ncOxLhpNVIkYgIUgBFzI8q/BOxbsDk6T3YGtapbDSVPECdSBrhh/2k9/uUCpU0cV0s6sxB0pLwJnBSBaCLA/M0VQKNUJYGM+Aj2E4ELV64p3/tTndFs7FFLCR6NHSkj23H0nAI/mavEcWNrXfdakfIaOCkCCEQPAeZvCkCjTCWBjPgI9hOBk+evqGiv6c5otvepo9ixYkbKyA5YTyGXs55GjmOdf6v1OmgIIIDAfwkwf1MAGn06SCAjPoL9RODg6Ysq22+WYseMoe1960baqKJKIRppAJwYAQR8FmD+pgD0OVnudCAJZMRHsJ8I7Dp2XlU+nqOE1q3fDdYt4Mhql65eV55uQc7p7ddhvx4aAgggwPx95xzgIRCDzwYFoAEeoX4jsOXQGdUeOF8pE8bRiq41Im1c9vNs2a2HUezH2pZ1CVTqRHEj7bVwYgQQiNoCzN9cATTKUBLIiI9gPxEI3Yotg7X8y0JrGZjIbPneD9KFK9c1r31VZU4RPzJfCudGAIEoLMD8TQFolJ4kkBEfwX4isDTkuBoOW6LsqRJoVtsqkTqq4tbDKMeth1Kmtq6k3GkTRepr4eQIIBB1BZi/KQCNspMEMuIj2E8EotIOHKF7Ek94o7yKZErqJ8IMAwEE3BZg/qYANMopEsiIj2A/EZi28ZBajFqpotYevOMjeQ/eGp/O1bYj5/T1/4ppu/W/TxfPKPvWNA0BBBC4VYD5mwLQ6BNBAhnxEewnAn+uPaC3x65WmezJNa5F2Ugd1ZNfLdC6fadVKmtyLbO2hnu5XFZ1fzJ/pL4mTo4AAlFPgPmbAtAoK0kgIz6C/UTglxV71f7XdaqSO5VGNC0VqaNqMHSxlu084TyRfOzcFT1eKJ2+eqFYpL4mTo4AAlFPgPmbAtAoK0kgIz6C/URg1JLd6jZhg2rlT6OhjUtE6qiafL9Mc7ceDXsNUaEojVQQTo4AAncUYP6mADT6aJBARnwE+4HAzM2H9fvq/fpr3UHVK5JenzcqGqmjajV6paZsOBT2GopnSabfWpWL1NfEyRFAIOoJMH9TABplJQlkxEdwNBK4aK2t92jsmIppbfcW2kL33g39e8MSmdT/2UKROqp3f1rjFKShLSBNQk1rUzlSXxMnRwCBqCfA/E0BaJSVJJARH8HRRMDe6aPeVwv1fKnM4R6omL/tqBp/tyxsFC+VzaKe9QpE6qg6j1+vMUv3hL2G9EnialGnwEh9TZwcAQSingDzNwWgUVaSQEZ8BEcTgX5TNmvo3BDlsBZ6nnnLQs9jl+1Rp9/XR6kCsNekTfpuwc6w15TI2g94fSTuTxxN3mJeJgKeE2D+pgA0SnoSyIiP4GgiUHvgPG05dFbx48TSRquYihHj79vAA6Zu0aDZO8JGUadAWn39YvFIHdXHU4P11eztYa/Bfqk7+tR1bl3vPHZeIUfPKTBvmkh9jZwcAQQiX4D5mwLQKAtJICM+gqOBwMHTF1W236ywV7rm/RpKGj+O8/d3xq3WH2sOqIT1oMWxc5c10HoAJLJ33xhkFX8DrCLw1ra+e00livuIQgvZoNYVlSdt4migz0tEAIEHJcD8TQFolFskkBEfwVFUYPuRszp98aqKZ7EWdrZu8753y23eyW9XVL70fxdPTw9eqFV7TmmwtetG3YLposRovrdu//a0bgPf2ha9V00J4sRW4Z7TnB8Pa1xcNfOnjRKvlxeBAAKRI8D8TQFolHkkkBEfwVFQ4ObNmyrdd6ZOnL+ixdbDE/b6fkHWVm+h7bsmJcJuoZbqM0NHzl7Wn2+WV6GMUWPf3X9/L9F+3dPaVNLhM5fCHlj58OmCamQ90EJDAAHvCjB/UwAaZT8JZMRHcBQUsAsluwC027gWZZwt3uwiL1WiR3XU+t93awTo15X7nNu+ocutrO5WQ8kS/H1bOLLbBGsJmNbWUjC3tt9aldWSkBNht4bb18qtN6rmjOyXyvkRQCASBZi/KQCN0o8EMuIjOAoKLN5xXM9/s8R5Zb3qF3CuANqtvrXI8wTr+34ZksbT/lMXw155AuvBkA23PBgS2UOaal2tbDlqZbiXMaJpSWdpmGmbDjs/f7VCNnV7PF9kv1TOjwACkSjA/E0BaJR+JJARH8FRUODHpbvVZfzfRd9j1vf6/lp/UInjxtbr1hWzD6dsue0V50mbSEGtK0WZkcyztoF7ydoO7tb25fNF1eevzTpkXd2021NFM+izhkWizGvmhSCAwMMXYP6mADTKOhLIiI/gKChw6zp6ya3buvZ3AQtkSKzmFbNbT/2Gv7Vqv/zqeVPr2yYlo8xIlu86oeeGLA73elpXz6WBM7aF/axyQCqNfKVUlHnNvBAEEHj4AszfFIBGWUcCGfERHAUFmg5fptnBR8O9sroF06pp+Wy3FVb2QS+Xyxpud5DIHtKG/af1+JcLnJdh71p346ZUKmtyLbMKw9BWMEMSTXyrQmS/VM6PAAKRKMD8TQFolH4kkBEfwVFQoPKA2dp9/EK4V/Za5Rx6sUxmVeg/2/m5vbtGeuu7gMGHz6rrY3nVzLo6GFXaDnuh50/mOi8nY7J42nfyorOH8eVrN5Q1RXztssZmf49xobU0DA0BBLwrwPxNAWiU/SSQER/BUUzg8rXrytstyLlqdmvr+1RBPVciowK6TpG1SozK5UihN6vl1A+LdquvtaSKfas4qrQD1gMq5T78e+Hq8jlTaOH242Ev7Wnru3/2k8txH4mpLb3qRJWXzOtAAIFIEGD+pgA0SjsSyIiP4CgmsM26olfjs3lKaF3hu3L9hq5YV83sNvrV0qqQK6W1PMwMaz29y7KvCL5XJ08Ue/V/v5yT1ncWi/aa7vz5eWutP3tdwNDWs15+vf/HRuevm3rWsra2ix0lx8CLQgCBBy/A/E0BaJRlJJARH8GRKHDNKvCa/7BC2VMldJZEOX3hqn5asUd9J2+xFnVOonOXrinE2jvXbvPaV1Vm6/Zpo2GLnfX0ovJOGnbRWrD7VOdKpb3eX5/Jm8OUf25ZVi9+t9QpbBd0rGrdIo4fie8Ap0YAgcgUYP6mADTKPxLIiI/gSBRYt++UnvxqofOghL2OX5UBc5wFn+1Wz1rz76RVENpLqsSyDgjuVVuxY8XU9iPntGznCTUqmUkx7cAo2uzXbd/FPnXhSrgnl5d2DlQ9a8z2cjBRafeSKMrIy0LArwWYvykAjRKcBDLiIzgSBf5ce8DZ5cNu9hW9FtbiyXaxlyNVAvV4soAmrjvgLJ6cOXl8zetQNRJfacRPPXPzYb06coXTgf0gyOaetZ0nhDcdPKPh1uLQVXOnjnjnRCKAQLQWYP6mADRKYBLIiI/gSBT4YuY2fTp9q/MK7Ct645bvdW79/vnm38ujDJ6zXR8FBatCzpQa3ax0JL7SiJ/avlrZYOjfawLmSp1Q09+tbO0HvFTztx3TJ88V1jPFM0a8cyIRQCBaCzB/UwAaJTAJZMRHcCQKvPvzGv2+ar/zCtIkftR5uMO+9ft5o/9r716gdar6PY7/dZEkl4iXbHJJ7nIp5FIdUSrRUbqMvKmUOo3odBkjiTjlEr3Rzf2SpJvG4E0nkVc5oXRBwyVKhF4c3ey3kut7zvpN49ntve3s520te631rO8cozHEM581n8+aa87/mmvOuZq6v9vkbafS95WVbsHHFY2rhFjSP37oz72Rvs5Pve++oEPdijal17neI+GV9lfvlXYDLqtnt7U/vH3N0o3f2ZQlm21E90ZW8dQSf/yA5EQAgdgI0H8TAPqqrFQgX3xkDlHg38cutRVbd+cpwX9eXMf6eW/NyJS07Yc91m7k4b0LUxtWD5m71qYt/TrPSuarPIuVnoUWjdzlvfKOhAACmS9A/00A6KuWU4F88ZE5RIHm3lYp33tbpuROemdulybxHO0riFIrm5v81wL3T4O8lc63tK1hz3iPvv/iPfq+tkWWPX51Y/tl30FrPGSBHfI2P+zerKr9pUeTEM8Kh0YAgaISoP8mAPRV16hAvvjIHJLAP/YesMaDDwdGudN/921rDaqUCalUwR9WW93UHjDPffGUm1pYh3qVbObyLTZg9hrvHcaVvHcYt7D3NuyyXtM+dp9pWq2szf6PNsEXhG9EAIHICdB/EwD6qpRUIF98ZA5JYPU32dbl2SVW3NvaRRs+p1Imbo7c2NsT8B/enoZ/u+8Cb4VzKZu/dqf18VY816hwii3y/m7E2+ttwuJNjqBsyRNt1aBOIZ0VDosAAkUpQP9NAOirvlGBfPGROSSBud4WMHd7W8A080a8tCXK3gP/tCplStiy/h1CKtGxO6x+69+918NpMYuSRj/PH77IfvYe/WormDELv7TPtv02F3LFwI6RerXdsZPhmxFItgD9NwGgryuACuSLj8whCaTmwWnO29rt2bZ+50/uvbkze7cKqURFe9jH3lxnk71Vv43OKOMCYM3/0+vvFBS+fkdra3HmaUVbII6GAAJFLkD/TQBoY8eOtVGjRtmOHTusQYMGNmbMGGvXrl1alZEKlBYTH4qYwD3eVihzvK1Q7u9Ux1b/Pdt7LPq/1rNVdXu0W8OIlfTYFGe7NyLY3lsdfNAL/JTqVy5t5UsVd/sDjuze2Hp4+yKSEEAgswXovxMeAL766qvWs2dPFwS2adPGJkyYYJMnT7Z169ZZtWrVCq39VKBCifhAxAS0Mrb1iL/Znv2HvBG/lt7+f3tt4Jw1NvbG5nZBndMjVtpjV5xh3juCZ364xe1x2Nfb+mbi4q9s+gdbrM8FNa1/53rH7sB8MwIIREKA/jvhAWDLli2tWbNmNm7cuJwKWa9ePevWrZsNHz680EpKBSqUiA9ETOC5dzfaqPkbrO6fTrV5/dpZsWLF7J/eSFiU3+1bFITPL91sg+eus471K9mkP7coikNyDAQQCFGA/jvBAeD+/futZMmSNmvWLLvqqqtyqmG/fv1s1apVtnjx4iOq5r59+0z/pZIqUFZWlmVnZ1vp0qVDrMrhHvqRv66x7F8PhFsIjp6WwOIvvrUfvVFAXoWWl+t/PJc/T/3IrQS+MEEjoWlVGj6EQAQEereraQ29ebtBJQLABAeA27dvtzPOOMOWLl1q559/fk6dGjZsmE2fPt02bNhwRD0bPHiwDRky5Ii/T3oA2HLYQvcqMVI8BCp7K34XP3CRFT/huHgUuAhKuct7FN56xCK3IISEAALRE5jaq4X9W91KgRWMAJAA0JYtW2atW7fOqVRDhw61GTNm2Pr16xkBTPNSe2n5Vm9O2cE0P83HwhTQI98L6lSw2hVPDbMYkTy23gms9weTEEAgegKd6v/JqpUvGVjBCAATHAD+kUfA+WseFSiwa5EvQgABBBBAoMgE6L8THACqlmkRSPPmzd0q4FSqX7++de3alUUgRXYZciAEEEAAAQSKVoAAMOEBYGobmPHjx7vHwBMnTrRJkybZ2rVrrXr16oXWRipQoUR8AAEEEEAAgcgJ0H8nPABUjdTo38iRI91G0A0bNrTRo0db+/bt06qsVKC0mPgQAghelLAOAAANLklEQVQggAACkRKg/yYA9FUhqUC++MiMAAIIIIBAKAL03wSAvioeFcgXH5kRQAABBBAIRYD+mwDQV8WjAvniIzMCCCCAAAKhCNB/EwD6qnhUIF98ZEYAAQQQQCAUAfpvAkBfFY8K5IuPzAgggAACCIQiQP9NAOir4lGBfPGRGQEEEEAAgVAE6L8JAH1VPCqQLz4yI4AAAgggEIoA/TcBoK+KRwXyxUdmBBBAAAEEQhGg/yYA9FXxqEC++MiMAAIIIIBAKAL03wSAvioeFcgXH5kRQAABBBAIRYD+mwDQV8XLzs62smXL2rZt26x06dK+vovMCCCAAAIIIFA0AgoAs7KybPfu3VamTJmiOWjEjlLs/7wUsTLFpjibNm2yWrVqxaa8FBQBBBBAAAEEfhPQAE7VqlUTSUIA6OO0686hXLlytnXr1sTeQYgvdSeV9JFQHA5fTDj81qhgQZ3I3cVQH6JTHzT29dNPP1mVKlXsuOOO8xEJxDcrAaCPc8ccgt8uZg2h65F4kh+FUx+oD/mbE+oEdSJ/AEhbefgmEQcfwUdAWQkAfUBSiWncadyPvIC4LvKOANLR0eGnagTXBn2Gj5Aj8KwEgD5IuZi5mAkACQCP1oTQRtBG0EbQRvgIM45pVgJAH7z79u2z4cOHW//+/e2kk07y8U3xzorD4fOHAw75r2TqBHUid52gPlAfotTbEwBG6WxQFgQQQAABBBBAoAgECACLAJlDIIAAAggggAACURIgAIzS2aAsCCCAAAIIIIBAEQgQABYBModAAAEEEEAAAQSiJEAAGKWzQVkQQAABBBBAAIEiEEh0AHjw4EEbPHiwzZw503bu3GmVK1e2Xr162cMPP+x2Bj9w4ID781tvvWV67Zv287r44ottxIgRbvfwVNLKrvvvv99efvll+/XXX61Dhw42duzYPK+X+fHHH61v3772xhtvuGxXXnmlPfPMM+5dwmGnIBx++OEHe+SRR2zBggXu3cgVKlSwbt262aOPPprnLSlRdtB5CMIi9/nUbvOXXXaZvf322zZ79mxnkkpRtgjS4YMPPrABAwbY8uXL7cQTT7RzzjnH5s2bZyeffLKjSIKD2pcHHnjA3nnnHff2gbPPPtseeughu/rqqzOiPuhHqC195ZVX3PVfvHhxa968uQ0dOtRatmyZmLYyHYdMaCsLax/ScciEdjLsvtvv8RMdAKpxGj16tE2fPt0aNGhgn3zyid1888322GOPWb9+/dybLdRA33bbbdakSRPXUd1zzz0uSNBnU+nOO++0uXPn2vPPP2/ly5e3++67z3SRf/rpp3b88ce7j3Xu3Nm++eYbmzhxovv/22+/3c4880yXL+wUhMOaNWtcAKgAun79+rZlyxa74447rHHjxvb666/n/MQoO6iQQVjkPp+qX+r0FfDkDwCjbBGUg4K/Sy+91G2V1KVLFxcYfPbZZ+7Pqa2TkuDQsWNH1548++yz7ubopZdecteL2pGmTZvGvo3QD9BvqlixotWsWdPdCKvuz5o1yzZu3Ginn366+42Z3lam45AJbWVh7UM6DpnQTobdd/s9fqIDwCuuuMIqVapkU6ZMyXHs3r27lSxZ0mbMmFGg7ccff2znnXeeC3CqVavmGnU1bvr8tdde6/Js377dsrKy3MjhJZdcYp9//rkLij788MOcu2H9uXXr1rZ+/Xo3GhBmCsKhoPKr8b/xxhvtl19+sRNOOCHyDvoNQVoo0NH3qc5odDl3AJiUOtGqVStT8KOR4IJSUhxKlSpl48aNs549e+Yw6GZx5MiRduutt0b+2vgj10VqE+yFCxe6pyJJbSvzO2RCWxlEfUg5xLmdDLPfDuLYiQ4A9Sh3/Pjx7rFlnTp13MhEp06dbMyYMXb99dcX6KvGTJ/ZvXu3e+/tokWLXOOmEb9y5crl5NGIoR73DRkyxKZOnWr33nuvy5M76fGv7pI16hhmCsKhoPJPnjzZjfx8++237p+j7qAyBmWxZ88ea9GihdsovGvXrlasWLE8AWDULYJw2LVrl7vBevrpp930iK+++srq1q3rRlnbtm0bizoRhIN+qEZBdRP0wgsvuGkfr732mvXu3du1ObVq1Yr8tfGvOuzfv9+ddz1N0QigRj2T2FYW5JAJbWUQ9UEOcW8nw+y3gzh2ogNAzc/SPJzHH3/cPao9dOiQ65wUtBSU9u7d6zoudWIvvvii+4geeyiA0zzA3ElBYo0aNWzChAk2bNgw93j4iy++yPMZBZ3K+3vHC+IEp/MdQTjkP873339vzZo1cyMe6gSUou6gMgZl0adPH1efFAQr5Q8Ao24RhENqlPu0006zJ554ws39UwCk+bF6DHbWWWdFvk4E4aDzr9EvPSGYP3++CwT1lEFTIzQ6GodrI12HN99806677jrXsWvUe86cOXbuuecmrq08mkMmtJVB1Ac5xL2dTKd/jfJnEh0AasKyJmaPGjXKzQFctWqVm+P35JNP2k033ZTnvGlByDXXXGNbt2619957z43+HS0AVMOuO3uNMKqz1zzDDRs25PlOdYB6/PPggw+GWkeCcMj9A/TIQwGwRkS16EUT/1OdXJQdVMYgLPSbNQ905cqVpkd/vxcARtkiCIdly5ZZmzZt3A2OroFU0rzQyy+/3I2OJuXauPvuu+2jjz5yv1ejYQqMNPr//vvvW6NGjTLGQdM9duzYYd99951NmjTJjfpp8Y/mBv7ezXImtpVHc8iEtjLd9uFoDpnQTobacQdw8EQHgJqnp+DrrrvuyqHUaJVG9zQ3L5UU/PXo0cOtBFaDprk7qZQJjzWCcEh5aIWj5j1qhEN3wSVKlMixivpjTxU0CAvdROjxl1aSp5JGA/X/7dq1czcQUbcIwmHz5s1uQYDmx2ouaCppJEyjYFp9nwQHPfquXbu2G/XUjWYqaUcB/b1uEjPFIX+fpJvcW265xd0EJKmtPJpDJrSV6bYPR3PIhHYygBgs1K9IdACoQE4Bn1ampZJGJaZNm5bzuDYV/H355Zf27rvv5qxmS30+NbFZQaOCRCXdAVetWvWIRSC6E9YCEiX9WRPko7AIJAgH/SaN/Cn40+pOLYBREJg7pSb8R9VBZQ3CQlt+aAQkd9Ioz1NPPeVWv2pqQNQtgnDQYyJdBwoAci8C0apXrfzVaFgSHFavXu1Ww69bt87q1auXUy10rVSvXt3tDJAJDgX1ZApwFfxri5iktJWFOWRCW5lO+1CYQya0k6FGbwEcPNEBoLYs0aIOzdPTnbke2Wl7FnVYmheo7V60KnjFihVuNEsT2lNJ85q0pYWSAkj9u+b56e+1J6DmwOXfBkarg3UsJR1HjX8UtoEJwkEjf3qUo7k/Wu16yimn5FhplXTu7XCi6qACB2FR0HWZfw6gPqMgKKoWQTloQZW2O9FKe80B1GNvzQfUaJimSCTBQTeR2gVAc+L029V56hGwpp+o3dA+kXF30KM+zZ/W/qb6nWr/NNdTN8ZqB1Mjn5neVqbjkAltZWHtQzoOmdBOBhCDhfoViQ4AdSEOHDjQBSxasajNnbX6d9CgQS64+/rrr91oTUFJo4EXXnih+yctDlFjrjkuuTeC1jB5KmmVcP6NoLUnWBQ2gg7CQY81L7roogKt9ChQex4qRdlB5QvCIt2GLcoWQTpoxeBzzz3nzr1Wx2vrk9Qq4KjXiaAc9ARB002WLFliP//8s3v0qxvF3NvCxLk+qA284YYb3JMNjX4ryNXiD22kn1oEkoS2Mh2HTGgrC7su0nHIhHYy1OgtgIMnOgAMwI+vQAABBBBAAAEEYidAABi7U0aBEUAAAQQQQAABfwIEgP78yI0AAggggAACCMROgAAwdqeMAiOAAAIIIIAAAv4ECAD9+ZEbAQQQQAABBBCInQABYOxOGQVGAAEEEEAAAQT8CRAA+vMjNwIIIIAAAgggEDsBAsDYnTIKjAACCCCAAAII+BMgAPTnR24EEEAAAQQQQCB2AgSAsTtlFBgBBBBAAAEEEPAnQADoz4/cCCCAAAIIIIBA7AQIAGN3yigwAggggAACCCDgT4AA0J8fuRFAAAEEEEAAgdgJEADG7pRRYAQQQAABBBBAwJ8AAaA/P3IjgAACCCCAAAKxEyAAjN0po8AIIIAAAggggIA/AQJAf37kRgABBBBAAAEEYidAABi7U0aBEUAAAQQQQAABfwIEgP78yI0AAggggAACCMROgAAwdqeMAiOAAAIIIIAAAv4ECAD9+ZEbAQQQQAABBBCInQABYOxOGQVGAAEEEEAAAQT8CRAA+vMjNwIIIIAAAgggEDsBAsDYnTIKjAACCCCAAAII+BMgAPTnR24EEEAAAQQQQCB2AgSAsTtlFBgBBBBAAAEEEPAnQADoz4/cCCCAAAIIIIBA7AQIAGN3yigwAggggAACCCDgT4AA0J8fuRFAAAEEEEAAgdgJEADG7pRRYAQQQAABBBBAwJ8AAaA/P3IjgAACCCCAAAKxEyAAjN0po8AIIIAAAggggIA/gf8HWqaZ9D/ODPgAAAAASUVORK5CYII=\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(8200.0, 8350.0)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "inspect.displaySpectra(emap.calcSpectra(s.mod(roi=rrois[3])))\n",
    "plt.xlim(8200, 8350)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2736d31d",
   "metadata": {},
   "source": [
    "With few points in a single ROI, the spectra is little jagged. It has not been smoothed."
   ]
  }
 ],
 "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": "3.10.2"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": false,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}