EDX_mask_by_intensity.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "4940e3d5",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook\n",
    "import hyperspy.api as hs\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4ce5ee0b",
   "metadata": {},
   "outputs": [],
   "source": [
    "#data file path\n",
    "fp = r'/dls/science/groups/e02/Sample_data/sample_EELS_EDS_new/EDS Spectrum Image.dm4'\n",
    "SI = hs.load(fp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d1647f4f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#correct for known offset\n",
    "SI.axes_manager[-1].offset = -0.1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8863548f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<EDSTEMSpectrum, title: EDS Spectrum Image, dimensions: (94, 91|2048)>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "5c4afdad",
   "metadata": {},
   "outputs": [],
   "source": [
    "#rebin data to improve signal to noise\n",
    "SI = SI.rebin(scale = [4,4,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "be7eafa9",
   "metadata": {},
   "outputs": [
    {
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       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
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       "        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=\"639.9833333333333\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"639.9833333333333\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SI.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "386f3bd7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"639.9833333333333\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#define elements of interest\n",
    "SI.add_elements(['Pd', 'Au'])\n",
    "SI.add_lines()\n",
    "SI_sum = SI.sum()\n",
    "SI_sum.plot(True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "3499b143",
   "metadata": {},
   "outputs": [],
   "source": [
    "#get line intensities\n",
    "bw = SI.estimate_background_windows(line_width = [5.0,2.0])\n",
    "intensities = SI.get_lines_intensity(background_windows=bw)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a1c5281a",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_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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gt6IqWO39dZbT1KlZE5vcSUu6ix+9rOfzf6uB4d2SZXQSgLUicqvd2r2YygifTpXjQpoak4Uot/85jfZSJ9uynobmt/Ntcj0TsmH1neoQyrxkcDFt/zquEpqxEZCo3UG+d0Y40M89bz0YkKCqge2HkbqsMUkKdIojUbK8m8j60mfjulveqc6jOrEqhPfaBQvdoZSOlpaEC/WKl8x1+iuXrYoDvptSAbUjtUh0XXmU6NrKXKzLEv6tA4kCpJGMzXCoRRHivTvkhoJkzr/etHRSmql3MhE7VByp5FJdX6UdB/acMMNs9+0Xlqpned3JlVnTkKnjq5+y/lRXnX4f/CDH2QdQd274lQnlav/r/uG4q+OkkYS8zvjaeRXQqLjYyoyvbPI/ddC+sRK0qSXUyussEJ2irrn6hr1W9FvVGszJf+6/6kTKdnRPUIvgCT9ce1nkbgXkT6dk54negkT76mST8040XNNU9j0G5ao6qWbkl4yKg4S63oCoHuifpc63/zMAb2cUSdYswDqbaikUV/9d92D9BuOmxpptFMiqReFceOj2g7xQNuUrsdL+hpN74zPZNUdRVYypNF+iaA6//E6W12LORDpi7OWakfeNEKnfoZetF588cUNN52q1zY1o0PPb8mvntMx6Vmoe7d+z7qPSAI1uhtTkedpkd9CozzacVNSplS783J/5eoFle7XGtnW70CjhHpmv/XWW9mzVuuvlTRrq97LGl2bGKuvp3uk+nlIX3/U+XunEegK6RN0/cA1BUep1d06Y6dDUqGbfFFpyQdfN84f/vCHWcdXUwZj0sNRb7k1tU8P2/jgjn/XlAZ1ntXx0MOoaGpF+vSmTw+OvHioXr3dVIendo68OjzqZOgBpo5x7XE6Vseo46kHpt6aFUlFpE8jkaoz33lR2ZqCp817atdqFHlIqfOiUWLJ+Z///OfJ5vpLXPQ3PZAkY+pAxxQf4qnnpbf4EmKN+BXdpWyg0qdzlZRJ6NRhjSPV8Ro0sqCpoGqbau/q/BdJ6oiqQ1k7/TEeqw6lhFbtXW9u88lC+vo7x3rfe0zpdKmzEDtEasu6TiW1hw022GASjuok6g212ole6qj9p0pgK+XmP2OhlyA6v3ySGIiHXlppwwN1FpV0jXrJpM6eXlBp6mJt0tRNjejoNy8JikmdM/0mJER6MVQkpUhfs/uvhfTpfOt1luOIgP5eT4Y0cho74BoBLroFfBHpU521Lwr13zTdLk5Z03NO/z+f4mi+OuoanSqa9FJPI3wa5VRbiPdV3QvUYdb9oN49XH/Xenq9DFHKS18rbUplSU7Vcde9XP8UTQPdyEXPWo3afu9738tmRtSm+IJT/70d0tfs+qOw6kWNXgZYJUmTlm3opY9eNMRU5Hk60HPQC2PFXjI70OvRS3P1n3Teutflk+KrF1OaIVQv6b4tnvmXW0jfQKPJcVUl0DXSp12b1JlRKro2qFFQYsfk+9//fvbWq1nSyI8eFJqDrjdN8Y2g3spqCoVGB+KDMZYTxa5eZ1lv4iVg9Tpuzc6jFenTW734Lbt8HRIcjaBpGoiuLya9uVcnT6MDmvZVL+lD8Ton3UgliUVSEenTCF+9jkDcbUsSLZlOeUhFefnVr341yahE/pz1sFDHWiIvSYwpSkTqecWOhF5W6K14vSmXtcxakb4odqpHHar81DrFUN+x1PRWrfspkjTioc6i3oYrbvW+faUOUhwFl+Cqbddya2Ujl/4+2RCnt+avJ0X64ucYdHxelPT/1clVx0KjIXpRIGHLJ70oUpuoHeHsj+1Ay43Sp2uO6+pq69L9TCPW+k2rQxevS/dOvfnWyFy9pLf94qY33xr5lhjkY6vRMQlCkZQifc3uvxbS10iQJF1xlLTRSxmNfqhTqWl39US5Hosi0qeRivw28bEctbX4sqmeaGrkJs5GiUsO8uegKbV6TqmtxvVbUdTiVGs9y+L0XI3QxpFGjRTHGSD5MtWWFKP4e4h/i7soprapIu2nWZ4832afbNALMN3vlHQfk7Tr96sptVrPVZskU3GaY7ukTyPP6hPoJYte4OgljZL+V/HTtNs4pT6Fo+6/Wtenl3JqI/E+FpcM1K5b9pQ+rU/UbAf9LvViVy+jUpN+O1pWoz6HfqN6/midudq8/r+e33ppUvvtVPVn1K+p7TsifakRIH/VCXSF9MWNTzRlSR01TTfS1AV15geSYsekv4XEurlINuI3uerVpfUVkrh8ihu66KGrDlp8WGu6nOrWlCPN1+/v49D5MluRPn2PTFMJa5PefuotqKYGan1DTJoKqQeNOvH1OgPKp46J3oir4/Doo48WCkMR6dMDKr/OIBYcOyBadK3zjqnIQ0rXoAeDRoi1jq9eUszUua19AxklIvW89FCSZKkNqKOuf9cUM8lTXo7y59KK9KmcuFb02GOPzaZnKal+tVHFV2tN9f28Iik/9VHsGu3GJp6aVpUfKVP5FiN91p9sqL3u/EhfvVH5mF+dJf0e1CHT1CG1v3hPSJ12lT+HlHKj9NW2/3x5WteluOvzNTpXpTiCpE5j7VqweKzaiNbIKOl3oBcG8ZM4qZ3NFOlrdv+1kD6JgUYValNeaNV2643YatRUHWPdszXFvUgqIn2NRpvUOddUar1MiGvG83UqRvHFkSQ9P1ov0dPvWrFrliT9cdqbfq8ardY6Rr0kqpfyU/HyI30DbVNFGDbLk+ebz6fpqWqnur/Wfpw9fx+rJ8sqJ7700L+3Q/o0U+gnP/nJRNGrx0ASE79DWISjZFdtLT9yX+84iZBehsZU5HlapP7aPHGmlsRM51RPvvsrV+1cL1P14l2j9XohEX8TenmjbwBr2qamKeu+HJP6WpqpI4Z68ZF/liF9/VHn751GoOOlL/95Bo1YqKOmzo06lbUfbdebMN3o6qX8W+4iHRPdNDSFSjcVvTXUtDnJkToI+m9RmOpNMVP9cdOG/NSZ+DF5TaXSLmIpqRXpa/Sh5EYdK03XkwAVSY2uv96xRaSv0chQfke+/LfbijykdLPXy4IiqVY0+pOXRuelutRGtPZRb5jz9WvkQB1ejZLmU6vSF6eA6W2+Hm7xHCT26sirc1f7BrQRE/1e9GDWWqE4ul0vr0RCU5lrR8r649YsFmWt6dNb4ziKU2/KXaNz1HF6OaBOtqZ8atTEIjUrNzLRaFD8OHFtnXEEJv8iSm+++5vNkC8ndno1UqhRzNTrK3JvLZLHQvoavTQocs8YSPstIn2NZqkUud56O0xqZFbx1midfueaaq+XWxpNib91CaJePubvrbGt5O8Vte1Jv+v4oiAvfQNtU63+Rops5FJbR5H7mNYwxnX8ZUtfftRZL2bVPvT81cs0jbjrZV0cZU/ZaCR+HkYvEfSs0W9O+wzE64ybotS2xyK/jdQ4atmBRl8l53qZVPvcK1pefBndaD8HvXzXS2iNZubv53ohonW99daeV1H69P1BzSKrStJU9/zsp6qcF+dRn0DHS1+ce67OmX7I6oBqjZR+4LpJahQrpkZvAvX3/A2zSKdDnTq9kdJbzbiWMI9YU2k0F76R9GgkUm+l9NCMUys04qMpQxohazTvvFFDLlP6NFKgN2f1bpKt/NDaJX3qAGlkUpsyaE1BSuqv89dM+mI9Gk3QbosaNdDLBLVdyZTeXOY3AWpV+jT6pDLUwYvXqql+koRG7bgRi14Y6dOGPppKXLt7Z5H2kV8XphdTcav9Isc2y9Oo3IGO9OkFk6Z2F5nKnj+vMkb6Gr2M0nnEWRESFo3E1EuxE1hbTn+/ySId2/5+9/XOpx3SF6eFaqqcnjO1H7vWc08CoZGfvPTFb5ppQyvdL+ql/EuR/PNzoG2q1d/GQKSv6iN9GpnU5kq1o1ORlUaq4zOiqPTFD6TrhUD8fEUte/WdNMLoLX1xaYFeQGjzonqzeIq0C61N1RpgMWj2gk7Sp5dw2qtAa86V4m9Zo8G1SaOnGkhQin/X5j56sdGupLW0GtDQspt2p3gecSZIu8+H+vsn0NHSl5/WqelV8UegDm1cYySRKDr9JuIqIn1xW+FG077ig6+R9OU3dNHDViMvevumH7Q6+6mpTOmLI5LaDUvfk7JKHtKXn5rT6KGo9qE2o4ecHrIpqb/OX38dzNq69BZSbzrVJmo74o3qiusNi6xljRu6xB1Q9XZXb7Jr19z1xyC/pq/R6Gu+E+axps9zeqdeHmlERB2E2k+B9MdGf9cLobgLZpwSWeS4/vI0KjdKn+KpTnq9NaL11vTFadHqOKqzVDTlf1cpa/o0/VS/82ZCV+T+q/u9pE4SU7thQ7wGrTnV2upelr641rneBk7ilJee/O9YzyO9eNTooUYJ621mJq5xV+f8vXWgbapo22uUbyDSl1/T1+ilXzvX9MVvdzb6fEF8MSUmRaVPu0PrPqGkKeT1ljTEF7u1z5Qiz9OicVTfQSPPesGplxNqowNN+TWtRaQvv8QhPleL1t1o/X7R41vNpz6iUhVEq0rn0irXXjm+Y6UvP60zvzA7Bi7uPKmRNG1CEqctFAlskU5HvCnqLZx2fswnPSQ1LUZviJpNb4wbumgnPT1ktUZCD0wtaE5NZUpffMuvKYFar9doPVfqNXhIn2IR39DpbWC9dhC/x6ZOjjZmqH0b3uw6rKVPdWmtqKZ9Nlo/WCtZGmnWmgiNLMdvajU657ihi6bS6Jt4qkvSq5GT1NTf7p3532Dtutb+uDU7F+/pnRoR1Ztu/bYlT9qISYIRkzoY9d4K589ZU771FlsjfFrzWGSjnlbKze/eWW8doc5B9yL9BvIj9Pp9KBYSp5T1abrW+P2wlN07tUW8Ngtq9oKlyP1XI/Nx9LTeZitxEyqdZy9LX5QCbUyj2QS1Kc6U0X/P31ckENoEQyKlznnc7j5/vNb/xY5nXjhaaVOp96B8/oFIn47XWklde6P7ZxQv5S17emf8tE/8blz+evWb1YupuNSiqPTlfzt6qaUX2PmU/4RFrfQVeZ4WiaGWr+gbrpqiqqnE+R2xixxfm0f3bL2YUJ+r0WeHxEn9Mr1YbbZGO192Fad3Vkm0qnQuA2k3vXhMx0qfREnfr9FuZ/pOX+1aJL3B08ifbtKpa+SKdDq046Xevml6kTZviLueaY691vppzrVGUJpJX35DF0250G6EWlScutW7Gm6Z0qf64vbGeuhoPnf8hln8EUli1fFSZ7n2sxSNfmge0qcHod74641mo81WFCd1YDWtVrFXhzTuXKdzVRkScj2cNB0yLwD9yUujkT51MFSWOhR5EVW70RQXbRJRuzahUV36BIPWqurvOr6/9hM/b6E3rGp3A52mq3ipwyQ+EhyJZ/xOn15ebLfddln52slVo8P51B+3ZjdjL+lTO1DnT6Mj8ftr2iZfnZN8UkdMHS5tcqD45d+Ua6qu1siJhaYGaQMGrTEuklopN/+dPr2E0UYccdqXNv7QR7b1eQ2tB9KUnPz3H+MUK32eQtNHNZUs/0kUrYXW1CuNmuU/v6LyNEW90Xf6NGNBncq4w6MY6GPLmnKv9q/dCGs/oKw8Re6/yqc1pVqTpfxakxMlUGtkdQ3qAGrEtpelLz8FMy/a2vVRMwT04jFuAlL7Mil+p08vwbSGM47E6FhJoP7e6Dt9A21TiqvHJxua/f7iJ4jUFiUjelkVv9OnnZV1Le36Tp9GlXQPUd9A/Yz8tzf1zFfMdN+Kz6ki9xnl0RIYvQzX/UvP6fjbifKr+5jKrZW+Is/T/s4hTlEXYz0ftXtw0aSNqLThmDjo/pFPsU+mDfDUNsUnvmzTteoZpJFtbU4kASzycrfK0jeQGWFFORfNFzd+qsKoY9Fz7vV8HSl9cb2BHlaa097oO2faKEOjEbqZq3MQP8DbX9CLdDokZ1pHKHFTR1c7LqqjJHHQDVrzvtXB6W8jk7ihi85JI4YaXRhIKlv61KHSAmg9JJS0HlHrRvRw1BvXOA++2TSu2uv0kD7VIfk4/fTTs/ho0bEkUElrmeLHtyVZkiE9FJQUN+2qqs69RKhS8f8AACAASURBVF4PQaXajlF/8tJI+uLUM7UdjUZr23CNxmhzBCWdlzqveaFoVJfWZsStqfXw1ptbdep1/rUPRpUdN3TRv+s8NN2nyAOwXrtUJ0kPYnUGJBs6D00vjNuHN/ocSH/cmv0GouD098kGlaH640el9f9jvZKf+NkKtVm9/dYLoti50980Apz/RlU8p/j2Xf9fnQpds4RJbV7XHjth6lBJRvIfN252Xa2Um9/IRdehKU5qB3oBoBcBElC1Md0Taz8xoNhJbNXBVBJX8dG1qW3E3RvrTR+W4GpKtORena348kvnoHZZOzVWnQN16lWn7hf6nel3qd1ro1AWuf/qPDUCq7ySEL040fVKTFW3zlX3IY1e9rL0iVOcjq9/17Q+/aORd7GS0Gh3Rk3bq723KUZ6WRBnD+gFp0a4tTZQ90NNkZOQqJ3UfrKklTYVf6ONRmwa/YYGOtKn8jTrQS97lPTbV7vUfV87euo5ET8TZDXSp/Vn+RcvtdekEfFzzz0346yXN3qJqn6MnhU6Vr9pcZdA6eWTUtGRPuWV6KoOxU33CPVf4j1Qzx71m/TCq95vvsjztFGM1G/SOlGda3/3b52f4pJPsZ9Tb2q/WOmeGwVE9zvdmxVD3ZdjnXr+FV27j/Q1e2KFibv9In3NOVXprx0nfflpnUUeCvEGpc6IpgE1u9HGwBTtdOhBqW/V6QaqG6Y62bpZaoRGDyCtX+lP+uJbRtWtdSr64PFAUtnSp3PUG35tWKORIk2L1M1VN1q9SVPHUh0+3YSLCoWX9GlKm95qa7RCMYtbW9d2cvTfJWmaHif5U6dIIqPr0UimtjBXTCVqMfUnL42kT9NL9OZWb+v0IJQw6OGrEUZJitZ31nJrVpfOV78HTeFSHPQwb9T2FDf9TZ15LWaX3LSSdA0SBr1Y0e9TbUAdFV1Do4X5/XFrdj75qYz9nXft+ot66zfEWR0QdUY0bVttVm230SdTNGosedJvV+1e8dPLH72E0j1Av2F1liVxKamVciMTddL0lludebVjdXYUD43IaRq8dhhulCRROlajnJI9Xb/avmRqrbXWypjUW9ulDqk4i4mmD+seq+M0bVhTP/Mj46pbI9PqSOvtu8RQnbF857Lo/VdlSW5ju5ew61z18kz/6LeK9IXsXqDRZo2+S2QkDerYa0RL97Rmv0XdK/TCTP9oXa7kWr9tPff0gkmzafTiKL7kq21bA2lT7ZA+nbeeZWqX6ifoHq+XyXoZonZfb2fUlN927fOiv2PzL0t0P9d0cY3ea9RezyT9thQD3bfibzpF+lS/fue6JyhG8XmhGSP6uLmWDOiZWU/6ij5P611js830avPXq7uZ9Ol4vXzSSx697NT9Rf0y3Y8kf7oHSt51ny+akL7mpBjpK9qSqpOv46SvOuhszkRv83Rza/RRXptaKAUC/5+Apj5LTvRmtNHHp+HVWQTy0qcXDSQIeBOIO1TrBZ9efpAgAAF/AnEdXf4zY/611q8hjpgy0teuCKTXi/SlMzM9Ii6G1xt2jUqSIOBNQNO59K0fjV7qLS+p8wkgfZ0fw067grjBiUZP4tTgTrsGzhcCnUYA6eu0iFXrfJG+NsZDC5I1lU/TNTTtQdNuSBDwJKB1g9q0RtNctYC/1V3TPM+VsosTQPqKsyJncQLa6EXrLePaZx2pae/a9Vcb8mgKsKbR1e4AWbwGckIAAikEkL4UWuStJYD0ldwmtMGFOtp6cGodlubh6+GpLeJJEPAioLfxWjOqnRu1dkyjfJqSUeRTAl7nRLl2BJA+O5aU9P8JSPb0nNLaMa2L0ho/7ciq9c+6d2jjsXZ+qLpdsSq6EUg8P73g1ZR6EgRaJSDpU7+xKtM7td6V6Z2tRrW845G+8lhnNcWFzNqxTgvWtZFG3Bms5FOhuh4iEDfH0KiypmVp183+vjXXQ3g6/lKRvo4PYSUvQBtiaPdOffpBG4pI9nTf0Ocy9Nyq3aSnkhfhcFL1PjXSrJpWd/10uASK7FACSF+HBq4ip430VSQQnAYEIAABCEAAAhCAAAQaEYjSF78l205SevnDSF87I5BeN9KXzowjIAABCEAAAhCAAAQgUCoBpK9U3F1XGdLXdSHlgiAAAQhAAAIQgAAEuo0A0tdtES33epC+cnlTGwQgAAEIQAACEIAABJIJROm77bbbko+1PuCrX/0q0zutoTqXh/Q5A6Z4CEDAnoA2QdJnJ2655ZagTWpI5RH405/+FFZeeeUw//zzZxtTkSAAAQhAoBwCSF85nLu1FqSvWyPLdUGgiwmUIX1xx9NNN900nHfeef3S/Pe//51tyz5+/Phw+umnh2222abfY7bccstwzjnnZPn0PbRrr7224TFxx8C77747+9Ziu1LVpO+kk04Kb7/9dhBLtQsSBCAAgW4lgPR1a2TLuS6krxzO1AIBCBgSKEP6zj333LDFFluE6aabLrz00kvZt8qaJYnh5ptvHqaddtos/4wzztjvFeelT5klVCuttFLd46oifXfddVd2nXPPPXe4+eab+71G7wxltAXva6B8CEAAAkUIROm79dZbi2R3zaNnFbt3uiI2LxzpM0dKgRCAgDeBMjr6+ZG7X/3qV+EHP/hB08taddVVwx//+MewySabhPPPP78Qgih9+m7nxx9/HFZYYYWGH7qtivQVurASM5XRFkq8HKqCAAQg0JAA0kfjaIUA0tcKPY6FAATaQqCsjv4Pf/jDcMYZZ4TRo0eHO+64o+G1Pvfcc9nUwk8//TQb/VpllVUKcYnSt95662VTO999991w5ZVXhnXWWWey45G++kjLaguFAkomCEAAAo4EkD5HuD1QNNLXA0HmEiHQbQSadfQffvjhbH3ciy++GLbbbrvw05/+NEwxxRQZgrfeeitoDdjvfve78PTTT4f//Oc/YcEFFwzrrrtu2H333cNMM800Caq+vr5M+JT+/ve/h0UWWaQuykMPPTQceOCBmfip3Cho/XGP0rf99tuHWWaZJaicJZdcMjz00EMTzzmW0Uj6JkyYEP7whz9k/2i93wsvvBDiKKWm3+yxxx5hqaWWmuRUzj777LD11luHJZZYIjzyyCMNT3PHHXcMp512WjbN9de//nWWr781fS+//HI45JBDsvN57bXXsnWOY8aMCQcddFA4+eSTs7/ly4uV62PDv//974OmLT3//PPhjTfeCDPPPHO2fvFHP/pRWGuttSY5T53PVltt1fDcVd/BBx888e/vvfdeOOWUU8Ill1ySxVIjq4r9t7/97Sz2w4YNm6ysuK5TvL7+9a9n8bn++uuztvXNb34zE3QSBCAAgbIIROnTfbjdSfdHpne2Owpp9SN9abzIDQEIVIBAI+mTMGiU7J133snkQiIW03333Re+9a1vBUnJlFNOmXX49b8SAMnfwgsvnE3PnG+++Sa5wsUXXzw88cQTYb/99guHHXZY3auXDD711FOZZEg2iqa89B1xxBHZObz++uuZYEmM8qmR9P3tb38LSy+9dCaJs802W5hzzjmDRFC7m2rkcPDgweGyyy7Lrj0mbTYjGZMc3nPPPeGLX/ziZKf80Ucfhbnmmis7n5tuuilo+qpSM+n7xz/+ka1JlBRpyqoE9pNPPgmPPvpoWGihhbJzkPjVk75ZZ501Ez3Jr65B5y35kzgq7b///pl0xaSR0cMPPzw7/w8//DAT2/w6Skmt/lFSzCVtElxx/OxnPxummmqqIHaSv3nmmSfceOONQbHOpyh9++67b7Y5j9qVRFnXNGLEiIwrCQIQgEBZBJC+skh3Zz1IX3fGlauCQFcTqCd96oBrPZ0E7he/+MUka/AkLiNHjsw2WNHon2RBcqH0yiuvhO9///vh6quvDl/5yldC7fePjj766LD33nuHeeedN/tEQRw1jIA1QhW/V6RRvpQdJPPSpxG1E044Iey2227Z5xCefPLJMPXUU0+MYyPp0/lLWDTyFK9JB0mENDV15513zkbMJIHalCYmsbrwwguzv2v0szZp1E0CLSHSsfG6m0nfl7/85XDnnXeGL3zhC5kQRRa6Fo32SQolk/WkT+eqabGSw3yScOpcX3311azs5ZZbbpK/F5neGddbSuouv/zyTPqUJJXrr79++Otf/5r9twcffDCTwZii9ElgdW7a3EeyrPT+++9nm/aQIAABCJRFAOkri3R31oP0dWdcuSoIdDWB2o7+z372s6CpiBod+s1vfpNN2csnjdQceeSR4Tvf+U7d0RmNiKnT/69//Sv85S9/CZKXmCSKEj6NCEmuNGKUTxLGs846K5OC1N0sa6VPorboootmMiIRk5DFNNA1ffrkxAUXXBB++9vfZoITk6YpahqsRgc1JVSjnvn0ve99L2Ml4RW7mBpJX/zvElVJnsQ1nzTapxFJjZLVk75mDVZCqPWVmuapWOdTf9KntZiSeaV77703E9J80rVrhFXstQGPBDOmKH1DhgwJzzzzTNBoJAkCEIBAuwhI+nQPrcr0Tr0M1DIIUmcQQPo6I06cJQQgkCOQ7+hLtDTtUqNcV111VdBDsTbF6Zf1pC3m1fowTavUKKAkMZ+0nkwjgRtvvHEmUDHld/isFYYiAauVPh0jgZRIDh8+PFsfKOFQ6k/69KF6raOTcI0bNy6TVCVtMiOJ3GuvvcJRRx018bT0d01l1VRMXZtGCmPSd+80oiURkqzFkTH9vZH0SQ41KqopnDqPekkjohoZbSR9jz32WLbmTmsaNdVTo4JKmlapqZjLL798NiqXT/1J3z777JNdtwROjOolnY9G8TbaaKNs9DOmKH2Kh8STBAEIQKCdBJC+dtLv/LqRvs6PIVcAgZ4jEDv62uRDa7o0Enfddddl661qkzbwiOL0pS99aZIpk/m8msKokb56o0ka8dLIl6bzaX1Y/GZf/Jaf1pJpRDB1ul896ZOMaURMApRfl9hI+nR9Ojddf7OkT07o0xP5pE1ejjvuuLDhhhuGiy66aOKftH5N02DFV5vD5FMj6dNmONrYpNnax5122imceuqpdaVPa/Y0oqi32I2S5F1rMFOkL57XDjvskNVdL4mBWCyzzDJBaz9rpU/SKGkmQQACEGgngSh9jV5glXluK6+8cjbtn5G+Mqm3VhfS1xo/joYABNpAIEqfZEujQBoBuuGGG+p+QF3T97QurWiqNwqV39Tkl7/8ZTbVUElTOvXw3XbbbbN1hKmpnvSpjCuuuCKbiiq51AYxmlbYSPp+/OMfh5///OdZnjiipQ1YooBqMxttgFLvuuImMLUyu+KKK4Y///nP2W6XmjabT42kT9NeNeraTJAOOOCAbFS29lwuvvjisMEGG2QdCOXRtWujnemnnz77b9pgR+vyNGVU6ypTpC+el+qVkNZLGqXdbLPNst1Z81KZ371TsSJBAAIQaCcBpK+d9Du/bqSv82PIFUCg5whE6dNUQHXmtQGHNviQ+OV3cBQYSWH8FIOmOaYIYB7sLrvsku08qYeuhEgjgxITfZtPUw4lnqmpkfSpnLgpyq677ppt8FJP+rRpjaa1ajfO2ima8Vz0OQitg2s0pVJr3O6///5w5plnZrtdakqp1rhpQxMJs6aZFpE+bdSiT2HU7rKZP1ZrFCWSteey5pprZiOVGm075phjJsOoOGs94kCkz2KkT59sQPpSWzf5IQABawJInzXR3ioP6euteHO1EOgKAvl1XNqV8xvf+EY2LU/TESV+2q0yn7R2TcJ3zTXXBAnGQJLWmX3uc5/LDtW6OU2H1OcZ+vvWXbO6mklfHFHT5jQafYqfktB0S12nkqaUalRPSev4hg4dOll1mrL4wAMPNJQ+bRgjsYxr3jSlVJ+eWHvttbPv5tWmRiN9mv4oYdP6R62trJf0OQftjlorfYsttljGVPWp3tqk89N51pM+ibdG/zTiqmuoTXFNn+putPlBjEOjNX1I30B+MRwDAQhYE4jSp9kP7U6a6cL0znZHIa1+pC+NF7khAIEKEKjdvEMbj6y++urhrrvuytZlaZv//OcL9BkEjZZpqp+ksOjH02svVd+zk1xKJDQlUVMvjz322Ozj3gNJzaRP5emadL7aZEbioZSXPl13FNzHH388SJ7ySRwkxEqNRvr0KYS555472/hFO1SKkT6toNE1rRWsTY2kT9KlToAkVQJX+71DnV/8bl/tuUQx1RRZTZXNJ52fPrXw1ltv1ZU+SbfWPzYS+v5275Q4Sxyb7d6J9A2kdXMMBCBgTQDpsybaW+Uhfb0Vb64WAl1BoN6OjRrp0icI9MkFjchJeOIW+xKHz3/+89nI2HrrrZdtXpKXEgmPFqNr986xY8dmElQv6Vt6WuOmNXD6Tps+c6DNX2afffYBce1P+uLopd6mxt0489KnSnWtGoWUIGr0MUqgJExTIvU5ig8++KDpZxLi7qT6X+28qTLESgJXVPo0zXWFFVbIvqWnkUhtfhMZSyL1zT+NWNb7Tl+c9qn8+pRE/Ei6pppqrZ/WHuoa6o30aWRQ59xoaqjOXxsOSFZVrtZLxvI1fVXla7quhFkc899GZE3fgJo1B0EAAk4EkD4nsD1SLNLXI4HmMiHQTQQabdOvtW369IBGd5ZaaqlsYxF9h05J6/4kHlqLp5E+bdoxbNiwTIokJZIKJY12NfrAukab5pxzzmxUSEnfA9Q6toGm/qRP5UpKNKoYU630aSRQ1ywp1MYnI0aMCBoB1HVIdDVyJ8lt9m28uJFKrKPZxjTNPs4ujvosg4RRHzRXDLQb5yOPPJKNpulzDlrTp7WDWkMYkz4bobWF+tC8RFrXoON1nDaz0UY0ku160qfvMmpappJiqumuiq/YxnV4Kl8bwWi0UX/T6KDWLEomtS5Sx4ijRiLzCekbaMvmOAhAwINAlL7Ub8J6nIvuqUzv9CDrVybS58eWkiEAAScCzb7Npk8YaMRKcqLOvR6O+uackqRQu29qtEffn5PwSQq1uYs+4K3NSPRQbTb9My9hKkfHDDQVkT6Njuk6JCdKtdKn/6Zv32mEUhvKSP4kR5qaqWmoWmendXrNpE8SK0aSRSWNfNX73qH+1kz69Hd90kJrArWu7/XXX8/KlRzrHI444ohw/PHHB22Kc+KJJ06CTTKu3TUlX/E7gRJW7T6qNXsarasnfSpEn5jQ5ygkdYq/ktZb6jxiUqy1Ec+ll16ajTiKk9qRXgRoem69D68jfQNt2RwHAQh4EED6PKj2TplIX+/EmiuFAAQg0FYCGunT2rt6n4Jo64lROQQgAIEOIID0dUCQKnyKSF+Fg8OpQQACEOgWAhrJ07TNCRMmZLuJxp1Qu+X6uA4IQAAC3gQkfZqlUJXpnZqGz8fZvaNuVz7SZ8eSkiAAAQj0NAHtZqo1jptvvvkk0yW1nnLTTTfN1tBpzd+tt97a05y4eAhAAAIDIdBN0qeNtLRLtGZ/aGq+lgZo1+3Ro0eHPffcc7Jv32q6vpYJNEraTIzUnADSRwuBAAQgAAETAhrB0+cXtCZSm6Pon9deey1bk6ekNXn6vtRCCy1kUh+FQAACEOglAlH6tDt1u5PWXLcy0rf33nuHo48+Oiy88MJB31HV+nqtt77yyiuDBO7CCy/MNjKLKUqf1qfX22wtv4a73WyqWj/SV9XIcF4QgAAEOoyANmDR9xBvvPHGTPTefPPN7BMI2lVTn1bQBi757yd22OVxuhCAAATaSqCbpO/yyy/PdtCW8OWTNibTzqBDhgyZ5NNBUfr0OSJtskVKJ4D0pTPjCAhAAAIQgAAEIAABCJRKoJukrxk4fXdWOznnd6tG+lpvakhf6wwpAQIQgAAEIAABCEAAAq4EovRpNkW70ze+8Y2Wpnc2O399dunqq68O999/f/a9WaUoffo80TTTTJMtI1h88cWzUcFpp5223Tg6on6kryPCxElCAAIQgAAEIAABCPQygV6Qvueeey7b6VlLAZ5//vlMLPPSVxt/rQU844wzsiUEpOYEkD5aCAQgAAEIQAACEIAABCpOoGrS9+ijj4all166LrWBfMrho48+Ctog5rbbbgvnnntu2GyzzSaWfcUVV4Rx48ZlawDnmGOOoN0/L7300qCRPx2ntYDLL798xSPY3tND+trLn9ohAAEIQAACEIAABCDQL4EofVrv1u602mqrBUvp++STTzLJ066d22yzTTj99NMLXeL555+fHacpoVdddVWhY3o1E9LXq5HnuiEAAQhAAAIQgAAEOoZA1aSvlU825KFL+LbeeutwzjnnBH2S4ayzzgpTTDFFobjo2KFDh4bBgwdnO0aTGhPoWun77Gc/mwVf3/8gQQACEIAABCAAAQhAoBGBp556KltH9thjj1UWUjdKn6Rtq622yqZzbrLJJtn/FhW+GKj55psvvPrqq+GDDz6obOyqcGJdK32zzz57+Pd/G0D9mcZ+6D/+b9FPzjSTXwVtLjn1h2hxurohdHsqm6veiJWZ9KHVslPZdc7Uht/9f/7zn1Kxfvjhh6XWp8rKjmPZ1zjjjDOWzrTst+HtuIdrZ78yU9ntVNdW9jXGDTXK5DrVVFOVVt0bb7wRZp555vDKK6+UVmdqRZI+3ferMr1zyimnDANZuxevOy98G264YdBUzdR29vLLL4e55por2/zl8ccfT0XaU/m7Vvr0wwh/+Uvo+284x/9v5x+vyA79WKr3f+nd//4ANvzv90W6NelDy2WnCRMmlF1l6fWVzXWhhRYq9RrL7kjr4spuN2uuuWapTFXZ66+/XmqdWjhfdiq77eij8mWmVVZZpczqsrp+97vflVpnO96+l/1iq+x2qgCWfY2aQld2mnXWWUurUpuCLLjggi1JjPfJdpP05ad0rrfeeuGiiy5qKHzjx48PzzzzTBg5cuQkiPXfN9hgg3Dttddmn3Q46KCDvEPQ0eV3vfRd/1/hW+1LX3IN0g133x2i+CF99qjL7rzbX0H/JSJ9/TNKzVF2u0H6UiNULH/ZnWmkr1hcUnIhfSm0iudF+oqzKpIT6StC6f/n0UYurYz0xe/uDRkyJOy8885ZWbVpzJgx2Xf6dF+WkC+77LJhqaWWCprN99JLL4Xrr78+G5nVjp4SP77X1zyGSF9aG6+bG+kzgNikiLI7775XU790pM+eetntBumzj6FKRPrsuTLSZ8+07HaqK0D6bOPYSdIn2Wl3Wv2/s9pakb4tt9wy27ilWTr77LOD8ulTDfvuu2+48847MwF8++23w/TTTx+WXHLJsPHGG4dtt922rjS2m1HV6kf6DCKC9BlARPp8IdaUzvROe9xInz1TpM+HKdJnzxXps2eqEpneOSnXOL2zG6TPp8VQajMCSJ9B+0D6DCAifb4QkT53vkifD+KyO9NM77SPI9M77ZmqREb6bLl20kjfddddZ3vxAyhtjTXWaGmkbwBVckiLBJC+FgHqcKTPACLS5wsR6XPni/T5IEb67Lky0mfPtOx2ivTZxxDpS2OK9KXxqkJupM8gCkifAUSkzxci0ufOF+nzQVx2Z5qRPvs4MtJnzxTps2eK9KUxRfrSeFUhN9JnEAWkzwAi0ucLEelz54v0+SBG+uy5MtJnz7Tsdor02cewk6RPO1W2O+mZ18pGLu0+/16sH+kziDrSZwAR6fOFiPS580X6fBCX3ZlmpM8+joz02TNF+uyZIn1pTJG+NF5VyI30GUQB6TOAiPT5QkT63PkifT6IkT57roz02TMtu50iffYxRPrSmCJ9abyqkBvpM4gC0mcAEenzhYj0ufNF+nwQl92ZZqTPPo6M9NkzRfrsmXaS9F1zzTX2ABJL/OY3v8n0zkRm7c6O9BlEAOkzgIj0+UJE+tz5In0+iJE+e66M9NkzLbudIn32MUT60pgifWm8qpAb6TOIAtJnABHp84WI9LnzRfp8EJfdmWakzz6OjPTZM0X67JkifWlMkb40XlXIjfQZRAHpM4CI9PlCRPrc+SJ9PoiRPnuujPTZMy27nSJ99jHsFOn76KOPQlWmd0411VShr6/PPhiU6EIA6TPAivQZQET6fCEife58kT4fxGV3phnps48jI332TJE+e6ZIXxpTjfQhfWnM2p0b6TOIANJnABHp84WI9LnzRfp8ECN99lwZ6bNnWnY7RfrsY4j0pTFF+tJ4VSE30mcQBaTPACLS5wsR6XPni/T5IC67M81In30cGemzZ4r02TPtJOm7+uqr7QEklvitb32Lkb5EZu3OjvQZRADpM4CI9PlCRPrc+SJ9PoiRPnuujPTZMy27nSJ99jFE+tKYIn1pvKqQG+kziALSZwAR6fOFiPS580X6fBCX3ZlmpM8+joz02TNF+uyZdpL0/eEPf7AHkFjiWmutxUhfIrN2Z0f6DCKA9BlARPp8ISJ97nyRPh/ESJ89V0b67JmW3U6RPvsYIn1pTJG+NF5VyI30GUQB6TOAiPT5QkT63PkifT6Iy+5MM9JnH0dG+uyZIn32TJG+NKZIXxqvKuRG+gyigPQZQET6fCEife58kT4fxEifPVdG+uyZlt1OkT77GHaS9F111VX2ABJLXHvttZnemcis3dmRPoMIIH0GEJE+X4hInztfpM8HcdmdaUb67OPISJ89U6TPninSl8YU6UvjVYXcSJ9BFJA+A4hIny9EpM+dL9Lngxjps+fKSJ8907LbKdJnH0OkL40p0pfGqwq5kT6DKCB9BhCRPl+ISJ87X6TPB3HZnWlG+uzjyEifPVOkz55pp0jfhAkTQlWmd0499dShr6/PPhiU6EKg66VPTXH8Zz7jAi8WOvTjjyeW/+6UU4YNV1/dtb52Fq4feNlJN7huT2VzXWihhUpFWnbHXRdXdrtB+nyaVNltB+mzjyPSZ88U6bNnivSlMdVIH9KXxqzduXtC+sqE3O3SVybLdtVVtoDpOhdffPFSL3fGGWcstb6yO+7tYPrSSy+VylSVvfPOO6XWOWjQoFLrU2WvvfZaqXUOGTKk1PpmmGGGUutrR2UPPfRQ7Qfc0wAAIABJREFU6dV++umnpdY5fvz4UutTZcOGDSu1zrLr08W9++67pV2jpj0vvPDClR65GjVqVPZCk5G+0ppFV1WE9BmHE+kzBtqG4pA+e+hInz1TpM+HKdJnzxXps2eK9Nkz7STp+/3vf28PILHEb3/724z0JTJrd/aulr6P//KXcPN/p1uWmf491VRh61VWKbNK6jImgPQZA/1vcUifPVOkz4cp0mfPFemzZ4r02TNF+tKYIn1pvKqQu6ul77HHHgujR4+uAmfOoYMIIH32wUL67JkifT5MkT57rkifPVOkz54p0pfGFOlL41WF3EhfFaLAOVSKANJnHw6kz54p0ufDFOmz54r02TNF+uyZdpL0lf3ZlXq011lnHaZ32jdD1xKRPle8FN6JBJA++6ghffZMkT4fpkifPVekz54p0mfPFOlLY4r0pfGqQm6krwpR4BwqRQDpsw8H0mfPFOnzYYr02XNF+uyZIn32TDtJ+q688kp7AIkljhkzhpG+RGbtzo70tTsC1F85AkiffUiQPnumSJ8PU6TPnivSZ88U6bNnivSlMUX60nhVITfSV4UocA6VIoD02YcD6bNnivT5MEX67LkiffZMkT57pkhfGlOkL41XFXIjfVWIAudQKQJIn304kD57pkifD1Okz54r0mfPFOmzZ9pJ0nfFFVfYA0gscd1112V6ZyKzdmdH+todAeqvHAGkzz4kSJ89U6TPhynSZ88V6bNnivTZM0X60pgifWm8qpAb6atCFDiHShFA+uzDgfTZM0X6fJgiffZckT57pkifPVOkL40p0pfGqwq5kb4qRIFzqBQBpM8+HEifPVOkz4cp0mfPFemzZ4r02TPtFOnT87Qq0zsHDx4c+vr67INBiS4EkD4XrBTayQSQPvvoIX32TJE+H6ZInz1XpM+eKdJnzxTpS2OqkT6kL41Zu3Mjfe2OAPVXjgDSZx8SpM+eKdLnwxTps+eK9NkzRfrsmSJ9aUyRvjReVciN9FUhCpxDpQggffbhQPrsmSJ9PkyRPnuuSJ89U6TPnmknSd/ll19uDyCxxO985zuM9CUya3d2pK/dEaD+yhFA+uxDgvTZM0X6fJgiffZckT57pkifPVOkL40p0pfGqwq5kb4qRIFzqBQBpM8+HEifPVOkz4cp0mfPFemzZ4r02TPtJOm77LLL7AEklvjd736Xkb5EZu3OjvS1OwLUXzkCSJ99SJA+e6ZInw9TpM+eK9JnzxTps2eK9KUxRfrSeFUhN9JXhShwDpUigPTZhwPps2eK9PkwRfrsuSJ99kyRPnumSF8aU6QvjVcVciN9VYgC51ApAkiffTiQPnumSJ8PU6TPnivSZ88U6bNn2knSd+mll9oDSCzxe9/7HtM7E5m1OzvS1+4IUH/lCCB99iFB+uyZIn0+TJE+e65Inz1TpM+eKdKXxhTpS+NVhdxIXxWiwDlUigDSZx8OpM+eKdLnwxTps+eK9NkzRfrsmSJ9aUyRvjReVciN9FUhCpxDpQggffbhQPrsmSJ9PkyRPnuuSJ89U6TPnmmnSN8HH3wQqjK9c5pppgl9fX32waBEFwJInwtWCu1kAkifffSQPnumSJ8PU6TPnivSZ88U6bNnivSlMdVIH9KXxqzduZG+dkeA+itHAOmzDwnSZ88U6fNhivTZc0X67JkiffZMkb40pkhfGq8q5Eb6qhAFzqFSBJA++3AgffZMkT4fpkifPVekz54p0mfPtJOk75JLLrEHkFjieuutx0hfIrN2Z0f62h0B6q8cAaTPPiRInz1TpM+HKdJnzxXps2eK9NkzRfrSmCJ9abyqkBvpq0IUOIdKEUD67MOB9NkzRfp8mCJ99lyRPnumSJ89U6QvjSnSl8arCrmRvipEgXOoFIFZZ5219PMZM2ZMqXXeddddpda31lprlVqfKhs1alSpdY4dO7bU+lRZ2S8o3n333dKvcZ111im1zmHDhpVa31lnnVVqfaps5MiRpdb56aefllqfKrvuuutKrbPs36Iu7oUXXij1GttR2fjx40ur9oEHHghLLrlkpXej1HNNu3defPHFpXFpVNH666/P9M62RyHtBJC+NF7k7gECSJ99kJE+e6ZInw9TpM+eK9JnzxTps2eK9KUxRfrSeFUhN9JXhShwDpUigPTZhwPps2eK9PkwRfrsuSJ99kyRPnumnSR9v/3tb+0BJJa4wQYbMNKXyKzd2ZG+dkeA+itHAOmzDwnSZ88U6fNhivTZc0X67JkiffZMkb40pkhfGq8q5Eb6qhAFzqFSBJA++3AgffZMkT4fpkifPVekz54p0mfPFOlLY4r0pfGqQm6krwpR4BwqRQDpsw8H0mfPFOnzYYr02XNF+uyZIn32TDtJ+n7zm9/YA0gsccMNN2R6ZyKzdmdH+todAeqvHAGkzz4kSJ89U6TPhynSZ88V6bNnivTZM0X60pgifWm8qpAb6atCFDiHShFA+uzDgfTZM0X6fJgiffZckT57pkifPVOkL40p0pfGqwq5kb4qRIFzqBQBpM8+HEifPVOkz4cp0mfPFemzZ4r02TPtFOl7//33Q1Wmd0477bSV/q6hfSvp7BKRvs6OH2fvQADps4eK9NkzRfp8mCJ99lyRPnumSJ89U6QvjalG+pC+NGbtzo30tTsC1F85AkiffUiQPnumSJ8PU6TPnivSZ88U6bNnivSlMUX60nhVITfSV4UocA6VIoD02YcD6bNnivT5MEX67LkiffZMkT57pp0kfRdddJE9gMQSN9poI0b6Epm1OzvS1+4IUH/lCCB99iFB+uyZIn0+TJE+e65Inz1TpM+eKdKXxhTpS+NVhdxIXxWiwDlUigDSZx8OpM+eKdLnwxTps+eK9NkzRfrsmSJ9aUyRvjReVciN9FUhCpxDpQggffbhQPrsmSJ9PkyRPnuuSJ89U6TPnmknSd+FF15oDyCxxI033pjpnYnM2p0d6Wt3BKi/cgSQPvuQIH32TJE+H6ZInz1XpM+eKdJnzxTpS2OK9KXxqkJupK8KUeAcKkUA6bMPB9JnzxTp82GK9NlzRfrsmSJ99kw7SfouuOACewCJJW6yySaM9CUya3d2pK/dEaD+yhFA+uxDgvTZM0X6fJgiffZckT57pkifPVOkL40p0pfGqwq5kb4qRIFzqBQBpM8+HEifPVOkz4cp0mfPFemzZ4r02TNF+tKYIn1pvKqQG+mrQhQ4h0oRQPrsw4H02TNF+nyYIn32XJE+e6ZInz3TTpG+f//736Eq0zunm2660NfXZx8MSnQhgPS5YKXQTiaA9NlHD+mzZ4r0+TBF+uy5In32TJE+e6ZIXxpTjfQhfWnM2p0b6Wt3BKi/cgSQPvuQIH32TJE+H6ZInz1XpM+eKdJnzxTpS2OK9KXxqkJupK8KUeAcKkUA6bMPB9JnzxTp82GK9NlzRfrsmSJ99kw7SfrOP/98ewCJJW666aaM9CUya3d2pK/dEaD+yhFA+uxDgvTZM0X6fJgiffZckT57pkifPVOkL40p0pfGqwq5kb4qRIFzqBQBpM8+HEifPVOkz4cp0mfPFemzZ4r02TNF+tKYIn1pvKqQG+mrQhQ4h0oRQPrsw4H02TNF+nyYIn32XJE+e6ZInz3TTpK+8847zx5AYombbbYZ0zsTmbU7O9LX7ghQf+UIIH32IUH67JkifT5MkT57rkifPVOkz54p0pfGFOlL41WF3EhfFaLAOVSKANJnHw6kz54p0ufDFOmz54r02TNF+uyZIn1pTFuVvhdeeCFccskl4ZprrgmPP/54ePnll8Mss8wSRo8eHfbcc8+w/PLLT3ZC48aNCwcffHC47LLLsvxzzjlnWH/99cOBBx4YhgwZknYBPZgb6TMM+tRTT21YWjWLmjBhQuknVraEtSOOn//850vl+uGHH5Za3xJLLFFqfars0UcfLbXOKaaYotT6VNnqq69eap2f+cxnSq1Pld14442l1jlo0KBS63vttddKrU+VjRw5stQ633333VLrU2UXX3xxqXWOGDGi1PpU2dNPP11qne14/g8dOrS0a9S9RnGs8sfGR40aFfRx9nPPPbc0Lo0q2nzzzVua3rn33nuHo48+Oiy88MJhpZVWCrPNNlv4+9//Hq688sqgF0UXXnhh2GCDDSZW/95774UVV1wxSM5XW221sMwyy4T7778/3HDDDWG55ZYLt956a5hmmmnazqXKJ4D0GUanHbJgePqFimrHTR/pKxSapExIXxKuQpmRvkKYkjMhfcnI+j0A6esXUXIGpC8ZWaEDkL5JMXWT9F1++eVBMyskfPl0++23h1VXXTUbuXvppZfC4MGDsz8fdNBBYezYsWGvvfYKRx111MRDojweccQRYZ999inUrno1E9JnGHmkzxBmriikz54r0mfPFOmzZ6oSkT57rkifPVOkz56pSkT6Jpc+jXhVZaRv+umndxkZ1SwWjeDdfffdYdlll81G/uaZZ56g6Z2a1ql6YxKPOeaYIwwfPrz00W+fVu9XKtJnyBbpM4SJ9PnA/F+pSJ89XqTPninS58MU6bPnivTZM0X6Jmeqkb5ekD7tA3D11Vdn0ze1/OXJJ58Miy22WFhjjTXCtddeOxkY/ffrr78+PPfcc2Heeef1aYxdUCrSZxhEpM8QJtLnAxPpc+OK9PmgZaTPnivSZ88U6bNnivRVX/q0rnTppZeuG/yBro2UuOn3pE1dnn/++aC15BJAieAOO+wQTj311Mnq23HHHcNpp50Wbr755rDKKqv4NMYuKBXpMwwi0mcIE+nzgYn0uXFF+nzQIn32XJE+e6ZInz1TpK+x9J1zzjk+wBNK3WKLLbLplJbS99FHH4Wvf/3r4bbbbsumsGqHUCVt6rLJJpuE/fbbLxx22GGTnaX+u9b0aZ3guuuum3AVvZUV6TOMN9JnCBPp84GJ9LlxRfp80CJ99lyRPnumSJ89U6Sv+tJnuabvk08+ySRPgrfNNtuE008/fSIApM/m94X02XDMSkH6DGEifT4wkT43rkifD1qkz54r0mfPFOmzZ4r09Y70Sfi23nrroBFMjSCeddZZIf9MZXqnze8L6bPhiPQZcqwtit077eGykYs9U6TPnqlKRPrsuSJ99kyRPnumSF9j6fv1r3/tAzyh1C233DLbRXOga/diVRK+rbbaKpvOqSmc+t/a52ncyEW7el533XWTnSUbuRQLHNJXjFOhXIz0FcKUnAnpS0bW7wFIX7+IkjMgfcnICh2A9BXClJQJ6UvCVSgz0lcIU3ImPtkwKbK4e2e3SF9e+DbccMNw/vnnZxu31CY+2ZD806l7ANJnwzErBekzhJkrCumz54r02TNF+uyZqkSkz54r0mfPFOmzZ6oSkb7ulb78lM711lsvXHTRRXWFLxLg4+yt/8aQvtYZTiwB6TOEifT5wPxfqUifPV6kz54p0ufDFOmz54r02TNF+iZnGkf6zj77bB/gCaVqSmYr0zsPPvjgcMghh4QhQ4aEnXfeOUw55ZST1T5mzJjsO31K+j7h6NGjw4MPPhhWW2218IUvfCHcd9992Ufcv/SlL4Vbb701TDvttAlX0HtZkT7DmCN9hjCRPh+YSJ8bV6TPBy0jffZckT57pkifPVOkr7ulT2sC+/v0hORW+WJ65513gmTxsssuC6+88kqYY445wvrrrx80Cih5JDUngPQZthCkzxAm0ucDE+lz44r0+aBF+uy5In32TJE+e6ZIX2Pp0+6W7U7abbOVkb52n38v1o/0GUYd6TOEifT5wET63LgifT5okT57rkifPVOkz54p0of0+bSq3i0V6TOMPdJnCBPp84GJ9LlxRfp80CJ99lyRPnumSJ89U6QP6fNpVb1bKtJnGHukzxAm0ucDE+lz44r0+aBF+uy5In32TJE+e6ZIX33pe/fdd7OPl7c7aXqn1tG1+p2+dl9HL9WP9BlGG+kzhIn0+cBE+ty4In0+aJE+e65Inz1TpM+eKdKH9Pm0qt4tFekzjD3SZwgT6fOBifS5cUX6fNAiffZckT57pkifPVOkD+nzaVW9WyrSZxh7pM8QJtLnAxPpc+OK9PmgRfrsuSJ99kyRPnumSF9j6TvzzDN9gCeU+v3vf5/pnQm8qpAV6TOMAtJnCBPp84GJ9LlxRfp80CJ99lyRPnumSJ89U6QP6fNpVb1bKtJnGHukzxAm0ucDE+lz44r0+aBF+uy5In32TJE+e6ZIH9Ln06p6t1SkzzD2SJ8hTKTPBybS58YV6fNBi/TZc0X67JkiffZMkb7G0nfGGWf4AE8o9Qc/+AHTOxN4VSEr0mcYBaTPECbS5wMT6XPjivT5oEX67LkiffZMkT57pkgf0ufTqnq3VKTPMPZInyFMpM8HJtLnxhXp80GL9NlzRfrsmSJ99kyRPqTPp1X1bqlIn2HskT5DmEifD0ykz40r0ueDFumz54r02TNF+uyZIn2Npe9Xv/qVD/CEUn/4wx8yvTOBVxWyIn2GUUD6DGEifT4wkT43rkifD1qkz54r0mfPFOmzZ4r0IX0+rap3S0X6DGOP9BnCRPp8YCJ9blyRPh+0SJ89V6TPninSZ88U6asvfePHjw9VGekbOnRo6Ovr8wk+pZoTQPoMkSJ9hjCRPh+YSJ8bV6TPBy3SZ88V6bNnivTZM0X6kD6fVtW7pXa19D3xxBNhpZVW6urovvHGG6Ve37Bhw0qtT5UNHz681DpHjx5dan2q7Ctf+UqpdT788MOl1jdkyJBS61NlZf82xo0bV/o1vvnmm6XW2Y5rLPue89BDD5XKtB33m7KZvvvuu6UyVWWzzDJLqXU+++yzpdanyv71r3+VWmfZvw1d3IcffljaNd59991hiSWWqPTI1ahRowIjfaU1ia6rCOnr8JCW3bEtu7OA9Pk0UKTPnms7hAjps49j2R1bpM8+hkifD9OyfxtI3+RxjNL3y1/+0ifICaVus802gemdCcAqkBXpq0AQWjkFpK8VevWPbUcnjJE++ziW/dtA+uxjqBLLftFUdse2Hfebspky0ufz22Ckz5ZrJ430IX22se+V0pC+Do902R3bsjsLjPT5NFBG+uy5In32TJG+7mCK9PnEEemz5Yr0pfFkpC+NVxVyI31ViEIL54D0tQCvwaHtePPOSJ99HMv+bSB99jFE+rqDKdLnE0ekz5ZrJ0nf6aefbnvxAyht2223ZXrnALi18xCkr530Deouu2PLSJ9B0OoUgfTZcy37t4H02ccQ6esOpkifTxyRPluuSF8aT6QvjVcVciN9VYhCC+dQdscW6WshWE0ORfrsuZb920D67GOI9HUHU6TPJ45Iny1XpC+NJ9KXxqsKuZG+KkShhXMou2OL9LUQLKTPB16DUsv+bSB9PuEt+57DRi72cUT67JmqRKTPlmsnSd8vfvEL24sfQGnbbbcd0zsHwK2dhyB97aRvUHfZHduyO2BCxHf6DBpKTRFs5GLPFOmzZ8pIX3cwRfp84oj02XJF+tJ4In1pvKqQG+mrQhRaOAekrwV4DQ5lIxd7pnyc3Z6pSuQ7ffZcGemzZ4r02TNViUifLVekL40n0pfGqwq5kb4qRKGFc0D6WoCH9NnDa1Ai0ueDGumz54r02TNF+uyZIn32TDtJ+n7+85/bA0gs8Uc/+hHTOxOZtTs70tfuCLRYP9LXIsA6hzPSZ88U6bNnqhKRPnuuSJ89U6TPninSZ88U6UtjivSl8apCbqSvClFo4RyQvhbgMdJnD4+RvtKYIn0+qJE+e65Inz1TpM+eaadIn9aPV2Wkb4YZZgh9fX32waBEFwJInwvW8gpF+uxZM9Jnz5SRPnumSJ8PU6TPnivSZ88U6bNnivSlMdVIH9KXxqzduZG+dkegxfqRvhYB1jkc6bNnivTZM0X6fJgiffZckT57pkifPVOkL40p0pfGqwq5kb4qRKGFc0D6WoDX4FCkz54p0mfPFOnzYYr02XNF+uyZIn32TDtJ+n72s5/ZA0gs8cc//jEjfYnM2p0d6Wt3BFqsH+lrESAjffYA65SI9PlgZiMXe65Inz1TpM+eKdJnzxTpS2OK9KXxqkJupK8KUWjhHJC+FuAx0mcPr0GJSJ8PaqTPnivSZ88U6bNnivTZM0X60pgifWm8qpAb6atCFFo4B6SvBXhInz08pK80pqoI6bPHjfTZM0X67JkiffZMO0n6fvrTn9oDSCxx++23Z3pnIrN2Z0f62h2BFutH+loEWOdw1vTZM2Wkz54p0ufDFOmz54r02TNF+uyZIn1pTJG+NF5VyI30VSEKLZwD0tcCvAaHIn32TJE+e6ZInw9TpM+eK9JnzxTps2eK9KUxRfrSeFUhN9JXhSi0cA5IXwvwkD57eA1KRPp8UDO9054r0mfPFOmzZ4r02TPtJOk77bTT7AEklrjDDjswvTORWbuzI33tjkCL9SN9LQKsczgjffZMkT57poz0+TBF+uy5In32TJE+e6ZIXxpTpC+NVxVyI31ViEIL54D0tQCPkT57eIz0lcYU6fNBjfTZc0X67JkiffZMO0X63nnnnVCVkb4ZZ5wx9PX12QeDEl0IIH0uWMsrFOmzZ81Inz1TRvrsmSJ9PkyRPnuuSJ89U6TPninSl8ZUI31IXxqzdudG+todgRbrR/paBFjncKTPninSZ88U6fNhivTZc0X67JkiffZMkb40pkhfGq8q5Eb6qhCFFs4B6WsBXoNDkT57pkifPVOkz4cp0mfPFemzZ4r02TPtJOk79dRT7QEklrjjjjsy0pfIrN3Zkb52R6DF+pG+FgEy0mcPsE6JSJ8PZnbvtOeK9NkzRfrsmSJ99kyRvjSmSF8aryrkRvoMozB+/HjD0ooVNXjw4GIZjXLNOuusRiUVL2bFFVcsntkgZ9lMdcpld4oGDRpkQKp4EY8++mjxzEY5n3jiCaOSihVTdgx1VgsuuGCxkzPK9cEHHxiVVLyYYcOGFc9skLNskX7xxRcNzjqtiKFDh6Yd0GLuCRMmtFhC+uFf/vKX0w9q4YjpppuuhaMHduhTTz01sAMHeNScc845wCMHftjjjz8+8IMTj7z11lvDYostVumNSUaNGhW0kQsjfYnBJXtGAOkzbAhInyHMXFFInz1XpM+eKdJnz1QlIn32XJE+e6ZInz1TlYj0Tco1St8pp5ziAzyh1J122onpnQm8qpAV6TOMAtJnCBPp84H5v1KRPnu8SJ89U6TPhynSZ88V6bNnivRNzhTp82lnvVIq0mcYaaTPECbS5wMT6XPjivT5oGWkz54r0mfPFOmzZ4r0IX0+rap3S0X6DGOP9BnCRPp8YCJ9blyRPh+0SJ89V6TPninSZ88U6WssfSeffLIP8IRSd955Z6Z3JvCqQlakzzAKSJ8hTKTPBybS58YV6fNBi/TZc0X67JkiffZMkT6kz6dV9W6pSJ9h7JE+Q5hInw9MpM+NK9Lngxbps+eK9NkzRfrsmSJ9SJ9Pq+rdUpE+w9gjfYYwkT4fmEifG1ekzwct0mfPFemzZ4r02TNF+hpL30knneQDPKHUXXbZhemdCbyqkBXpM4wC0mcIE+nzgYn0uXFF+nzQIn32XJE+e6ZInz1TpA/p82lVvVsq0mcYe6TPECbS5wMT6XPjivT5oEX67LkiffZMkT57pkhffel7++23Q1VG+maaaaZKf8zep1V2bqlIn2HskD5DmEifD0ykz40r0ueDFumz54r02TNF+uyZIn1In0+r6t1SkT7D2CN9hjCRPh+YSJ8bV6TPBy3SZ88V6bNnivTZM0X6kD6fVtW7pSJ9hrFH+gxhIn0+MJE+N65Inw9apM+eK9JnzxTps2eK9DWWvhNPPNEHeEKpu+66a2B6ZwKwCmRF+gyDgPQZwkT6fGAifW5ckT4ftEifPVekz54p0mfPFOlD+nxaVe+WivQZxh7pM4SJ9PnARPrcuCJ9PmiRPnuuSJ89U6TPninSh/T5tKreLRXpM4w90mcIE+nzgYn0uXFF+nzQIn32XJE+e6ZInz1TpK+x9J1wwgk+wBNK/clPfsL0zgReVciK9BlGAekzhIn0+cBE+ty4In0+aJE+e65Inz1TpM+eKdKH9Pm0qt4tFekzjD3SZwgT6fOBifS5cUX6fNAiffZckT57pkifPVOkD+nzaVW9WyrSZxh7pM8QJtLnAxPpc+OK9PmgRfrsuSJ99kyRPnumSF9j6Tv++ON9gCeUuttuuzG9M4FXFbIifYZRQPoMYSJ9PjCRPjeuSJ8PWqTPnivSZ88U6bNnivQhfT6tqndLRfoMY4/0GcJE+nxgIn1uXJE+H7RInz1XpM+eKdJnzxTpQ/p8WlXvlor0GcYe6TOEifT5wET63LgifT5okT57rkifPVOkz54p0ldf+t56661QlemdM888c+jr6/MJPqWaE0D6DJEifYYwkT4fmEifG1ekzwct0mfPFemzZ4r02TNF+pA+n1bVu6UifYaxR/oMYSJ9PjCRPjeuSJ8PWqTPnivSZ88U6bNnivQ1lr7jjjvOB3hCqbvvvntgpC8BWAWyIn2GQUD6DGEifT4wkT43rkifD1qkz54r0mfPFOmzZ4r0IX0+rap3S0X6DGOP9BnCRPp8YCJ9blyRPh+0SJ89V6TPninSZ88U6UP6fFpV75aK9BnGHukzhIn0+cBE+ty4In0+aJE+e65Inz1TpM+eKdLXWPqOPfZYH+AJpe6xxx5M70zgVYWsSJ9hFJA+Q5hInw9MpM+NK9Lngxbps+eK9NkzRfrsmSJ9SJ9Pq+rdUpE+w9gjfYYwkT4fmEifG1ekzwct0mfPFemzZ4r02TNF+pA+n1bVu6V2tfQ99thjYfTo0aVFd+qppy6trljRrLPOWmqdM8wwQ6n1qbIlllii1DpfeOGFUutTZUsvvXSpdT777LOl1vfggw+WWp8q+9vf/lZqncsuu2yp9amyZ555ptQ62/Fi6/XXXy/1GsuW97nmmqvU61Nln376aal1TjPNNKWn+VS5AAAgAElEQVTWp8q++tWvllrn8OHDS62vHZWNGzeu9GrLvMddc801YZFFFqn0d+dGjRoV9J2+Y445pvRY1Fa45557Mr2z7VFIOwGkL41X09xInyHMXFFInz1XpM+eKdJnz1QlIn32XJE+e6ZInz3Tsl9sIX1pMUT60nhVITfSZxgFpM8QJtLnA/N/pSJ99niRPnumSJ8PU6TPnivSZ88U6ZucKSN9Pu2sV0pF+gwjjfQZwkT6fGAifW5ckT4ftIz02XNF+uyZIn32TJG++tL35ptvVmZ65yyzzFLp6bA+rbJzS0X6DGOH9BnCRPp8YCJ9blyRPh+0SJ89V6TPninSZ88U6UP6fFpV75aK9BnGHukzhIn0+cBE+ty4In0+aJE+e65Inz1TpM+eKdKH9Pm0qt4tFekzjD3SZwgT6fOBifS5cUX6fNAiffZckT57pkifPVOkr7H0HX300T7AE0rda6+9QqvTO88///xw++23h3vvvTc8/PDDYcKECeHss88OW2655WRncvDBB4dDDjmk4RmWfV9LQFWZrEifYSiQPkOYSJ8PTKTPjSvS54MW6bPnWnbniE822MewHSXyyYZ2UJ+0Tm3kojV93SJ9CyywQPjnP/8Z9D3WIUOGZP/en/RtscUWQcfVJkkhqTkBpM+whSB9hjCRPh+YSJ8bV6TPBy3SZ88V6bNnykifPVOVyHf66kvfUUcd5QM8odS999675ZG+m266KSy66KJh/vnnD8cdd1zYY489+pW+W265JXzta19LOFOyRgJIn2FbQPoMYSJ9PjCRPjeuSJ8PWqTPnivSZ88U6bNnivRNzjSO9HWL9OWvEOnz+Q3lS0X6DBkjfYYwkT4fmEifG1ekzwct0mfPFemzZ4r02TNF+pC+PIG4pm/s2LFBU8YHDRoUFl988bDqqquGaaed1qcBdlmpSJ9hQJE+Q5hInw9MpM+NK9Lngxbps+eK9NkzRfrsmSJ9jaXvyCOP9AGeUOo+++wTXnjhhbD00kvXPaqvry+htFB4emdtobPNNls444wzwtprr51UXy9mRvoMo470GcJE+nxgIn1uXJE+H7RInz1XpM+eKdJnzxTpQ/ryBK644oqgzYRWWmmlMMccc2TCeemllwaN/H300UfZLqDLL7+8T0PsklKRPsNAIn2GMJE+H5hInxtXpM8HLdJnzxXps2eK9NkzRfqqL32tfrIhf4X9relr1ML02YfNNtssrLXWWuGqq67yaYhdUirSZxhIpM8QJtLnAxPpc+OK9PmgRfrsuSJ99kyRPnumSF9j6TviiCN8gCeUuu+++7a8e6eF9H3yySdh6NChYfDgwdnnLEiNCSB9hq0D6TOEifT5wET63LgifT5okT57rkifPVOkz54p0of0FW1V8803X3j11VfDBx98UPSQnsyH9BmGHekzhIn0+cBE+ty4In0+aJE+e65Inz1TpM+eKdKH9BVpVS+//HKYa665wogRI8Ljjz9e5JCezYP0GYYe6TOEifT5wET63LgifT5okT57rkifPVOkz54p0ldf+t54441Qlemdw4YNC6m7dDZqKc3W9I0fPz4888wzYeTIkZMcrv++wQYbhGuvvTbokw4HHXSQT0PsklKRPsNAIn2GMJE+H5hInxtXpM8HLdJnzxXps2eK9NkzRfq6X/r0qYU77rgju9BHHnkk3HPPPWH06NFhkUUWyf7bmDFjsn+effbZsOCCCwY9Z5daaqkw++yzh5deeilcf/314ZVXXsl29JT48b2+5r9DpM/wPoX0GcJE+nxgIn1uXJE+H7RInz1XpM+eKdJnzxTpayx9hx9+uA/whFL322+/0OpI35ZbbhnOOeechrVq5E4jePpUgzaOufPOOzMBfPvtt8P0008fllxyybDxxhuHbbfdNkw55ZQJZ9+bWZE+w7gjfYYwkT4fmEifG1ekzwct0mfPFemzZ4r02TNF+rpf+nxaDaU2IoD0GbYNpM8QJtLnAxPpc+OK9PmgRfrsuSJ99kyRPnumSB/S59OqerdUpM8w9kifIUykzwcm0ufGFenzQYv02XNF+uyZIn32TJG+xtJ32GGH+QBPKHX//fdveXpnQnVkNSCA9BlAjEUgfYYwkT4fmEifG1ekzwct0mfPFemzZ4r02TNF+pA+n1bVu6UifYaxR/oMYSJ9PjCRPjeuSJ8PWqTPnivSZ88U6bNnivQhfT6tqndLRfoMY4/0GcJE+nxgIn1uXJE+H7RInz1XpM+eKdJnzxTpayx9hx56qA/whFIPOOAApncm8KpCVqTPMApInyFMpM8HJtLnxhXp80GL9NlzRfrsmSJ99kyRPqTPp1X1bqlIn2HskT5DmEifD0ykz40r0ueDFumz54r02TNF+uyZIn1In0+r6t1Su1r6nnjiibDSSiuVFt0JEyaUVlesaNCgQaXWueCCC5ZanyqbddZZS6+z7ApHjhxZapXPPPNMqfVdeumlpdanysp+CaMPxpadRowYUWqV9913X6n1tSOOc801V6nX+MEHH5RanyobMmRIqXVOMcUUpdanylZfffVS61x//fVLrU+VXXvttaXWWfZzQxdXZp1//vOfw+KLLx76+vpK5ZpS2ahRo4JehFVleqf6Z1XmlcK2F/IifYZRRvoMYeaKQvrsuZb5INXZI332MVSJSJ89V6TPninSZ88U6bNnivSlMdWaPqQvjVm7cyN9hhFA+gxhIn0+MP9XKtJnj5eRPnumKrHsEVukzz6OSJ89U6TPninSl8YU6UvjVYXcSJ9hFJA+Q5hInw9MpM+NK9Lngxbps+fK9E57pkzvtGeqEst8QdlJ0jd27Fgf4AmlHnjggYz0JfCqQlakzzAKSJ8hTKTPBybS58YV6fNBi/TZc0X67JkiffZMkb7JmcY1fUifT3vr9lKRPsMII32GMJE+H5hInxtXpM8HLdJnzxXps2eK9NkzRfoaS98hhxziAzyh1IMOOoiRvgReVciK9BlGAekzhIn0+cBE+ty4In0+aJE+e65Inz1TpM+eKdKH9Pm0qt4tFekzjD3SZwgT6fOBifS5cUX6fNAiffZckT57pkifPVOkD+nzaVW9WyrSZxh7pM8QJtLnAxPpc+OK9PmgRfrsuSJ99kyRPnumSF9j6Tv44IN9gCeUqnPgkw0JwCqQFekzDALSZwgT6fOBifS5cUX6fNAiffZckT57pkifPVOkD+nzaVW9WyrSZxh7pM8QJtLnAxPpc+OK9PmgRfrsuSJ99kyRPnumSB/S59OqerdUpM8w9kifIUykzwcm0ufGFenzQYv02XNF+uyZIn32TJG+xtKnnTPbnbSDKNM72x2FtPqRvjReTXMjfYYwkT4fmEifG1ekzwct0mfPFemzZ4r02TNF+pA+n1bVu6UifYaxR/oMYSJ9PjCRPjeuSJ8PWqTPnivSZ88U6bNnivQhfT6tqndLRfoMY4/0GcJE+nxgIn1uXJE+H7RInz1XpM+eKdJnzxTpqy99r732WqjK9M7hw4eHvr4+n+BTqjkBpM8QKdJnCBPp84GJ9LlxRfp80CJ99lyRPnumSJ89U6QP6fNpVb1bKtJnGHukzxAm0ucDE+lz44r0+aBF+uy5In32TJE+e6ZIH9Ln06p6t1SkzzD2SJ8hTKTPBybS58YV6fNBi/TZc0X67JkiffZMkb7G0nfggQf6AE8odezYsYHpnQnAKpAV6TMMAtJnCBPp84GJ9LlxRfp80CJ99lyRPnumSJ89U6QP6fNpVb1bKtJnGHukzxAm0ucDE+lz44r0+aBF+uy5In32TJE+e6ZIX2PpO+CAA3yAJ5R66KGHMtKXwKsKWZE+wyggfYYwkT4fmEifG1ekzwct0mfPFemzZ4r02TNF+pA+n1bVu6UifYaxR/oMYSJ9PjCRPjeuSJ8PWqTPnivSZ88U6bNnivQhfT6tqndLRfoMY4/0GcJE+nxgIn1uXJE+H7RInz1XpM+eKdJnzxTpayx9+++/vw/whFIPO+wwpncm8KpCVqTPMApInyFMpM8HJtLnxhXp80GL9NlzRfrsmSJ99kyRPqTPp1X1bqlIn2HskT5DmEifD0ykz40r0ueDFumz54r02TNF+uyZIn1In0+r6t1SkT7D2CN9hjCRPh+YSJ8bV6TPBy3SZ88V6bNnivTZM0X66kvfq6++GqoyvXO22WYLfX19PsGnVHMCSJ8hUqTPECbS5wMT6XPjivT5oEX67LkiffZMkT57pkgf0ufTqnq3VKTPMPZInyFMpM8HJtLnxhXp80GL9NlzRfrsmSJ99kyRPqTPp1X1bqlIn2HskT5DmEifD0ykz40r0ueDFumz54r02TNF+uyZIn2NpW+//fbzAZ5Q6uGHHx6Y3pkArAJZu1r6HnvssTB69OgKYPY7hbIfNI8//rjfxTQoeaGFFiq1zl6Q9+uuu65UpnPOOWep9amyN998s9Q6H3rooVLrU2XDhg0rtc7BgweXWp8qK/v3+MILL5R+jWVXuMIKK5Ra5d13311qfapsmmmmKbXONdZYo9T6VNk666xTap3teP6XWeeFF14YFlhggUqvURs1alTQmj6kr9Sm3zWVIX0dHkqkzz6AZXcydQWDBg2yv5AmJSJ99riRPnumSJ8PU6TPnivSZ89UJSJ9k3JF+nzaWa+UivR1eKSRPvsAIn32TBnps2eqEhnps+fKSJ89U0b67Jky0mfPtJNG+vbdd197AIklHnHEEUzvTGTW7uxIX7sj0GL9SF+LAOscjvTZM0X67JkifT5MkT57rkifPVOkz54p0pfGFOlL41WF3EhfFaLQwjkgfS3Aa3Ao0mfPFOmzZ4r0+TBF+uy5In32TJE+e6adJH377LOPPYDEEo888khG+hKZtTs70tfuCLRYP9LXIkBG+uwB1ikR6fPBzPROe65Inz1TpM+eKdJnzxTpS2OK9KXxqkJupK8KUWjhHJC+FuAx0mcPr0GJSJ8PaqTPnivSZ88U6bNnivTZM0X60pgifWm8qpAb6atCFFo4B6SvBXhInz08pK80pqoI6bPHjfTZM0X67JkiffZMO0n69t57b3sAiSUeddRRTO9MZNbu7EhfuyPQYv1IX4sA6xzOmj57poz02TNF+nyYIn32XJE+e6ZInz1TpC+NKdKXxqsKuZG+KkShhXNA+lqA1+BQpM+eKdJnzxTp82GK9NlzRfrsmSJ99kyRvjSmSF8aryrkRvqqEIUWzgHpawEe0mcPr0GJSJ8PaqZ32nNF+uyZIn32TJE+e6adIn2vvPJKqMr0ztlnnz309fXZB4MSXQggfS5YyysU6bNnzUifPVOkz54pI30+TJE+e65Inz1TpM+eKdKXxlQjfUhfGrN250b62h2BFutH+loEWOdwpM+eKdJnzxTp82GK9NlzRfrsmSJ99kyRvjSmSF8aryrkRvqqEIUWzgHpawFeg0ORPnumSJ89U6TPhynSZ88V6bNnivTZM+0k6dtrr73sASSWePTRRzPSl8is3dmRvnZHoMX6kb4WATLSZw+wTolInw9m1vTZc0X67JkiffZMkT57pkhfGlOkL41XFXIjfVWIQgvngPS1AI+RPnt4DUpE+nxQI332XJE+e6ZInz1TpM+eaSdJ35577mkPILHEY445hpG+RGbtzo70tTsCLdaP9LUIkJE+e4CM9JXCVJUgffaokT57pkifPVOkz54p0pfGFOlL41WF3EhfFaLQwjkgfS3Aa3Aoa/rsmTLSZ88U6fNhivTZc0X67JkiffZMkb40pkhfGq8q5Eb6qhCFFs4B6WsBHtJnD69BiUifD2pG+uy5In32TJE+e6ZInz3TTpK+PfbYwx5AYonHHnss0zsTmbU7O9LX7gi0WD/S1yLAOocz0mfPFOmzZ8pInw9TpM+eK9JnzxTps2eK9KUxRfrSeFUhN9JXhSi0cA5IXwvwGOmzh8dIX2lMkT4f1EifPVekz54p0mfPFOlLY4r0pfGqQm6krwpRaOEckL4W4CF99vCQvtKYIn0+qJE+e65Inz1TpM+eaadI38svvxyqMr1zjjnmCH19ffbBoEQXAkifC9byCkX67FkzvdOeKdM77ZkifT5MkT57rkifPVOkz54p0pfGVCN9SF8as3bnRvraHYEW60f6WgRY53Ckz54p0mfPFOnzYYr02XNF+uyZIn32TJG+NKZIXxqvKuRG+qoQhRbOAelrAV6DQ5E+e6ZInz1TpM+HKdJnzxXps2eK9Nkz7STp23333e0BJJZ43HHHMdKXyKzd2ZG+dkegxfqRvhYBMtJnD7BOiUifD2Y+2WDPFemzZ4r02TNF+uyZIn1pTJG+NF5VyI30VSEKLZwD0tcCPEb67OE1KBHp80GN9NlzRfrsmSJ99kyRPnumSF8aU6QvjVcVciN9VYhCC+eA9LUAD+mzh4f0lcZUFSF99riRPnumSJ89U6TPnmknSd9uu+1mDyCxxOOPP57pnYnM2p0d6TOMwNChQw1LK1bU4MGDi2U0ytWOa5x77rmNzr5YMWXXp7O69957i52cUa5x48YZlVSsmFtuuaVYRsNc888/v2Fp/Rf13nvv9Z/JOMeUU05pXGLz4h555JFS61NlZY8Sl13fG2+8UTrTJ554otQ611lnnVLrU2Wvv/56qXWOHDmy1PpU2corr1xqnePHjy+1PlV21113lVbnpZdeGhZccMFKf4Jg1KhRQZ9sQPpKaxZdVRHSZxjOdggR0mcYwP8VhfTZM0X67JmqRKTPnivSZ88U6bNnivTZM+0k6fvJT35iDyCxxBNOOIGRvkRm7c6O9BlGAOkzhJkrqmwJK7s+XSojffZth5E+e6aM9NkzZaTPnqlKZKTPnisjffZMU0uMI31IXyo58osA0mfYDpA+Q5hInw/M/5XK9E57vEzvtGeqEsseeSu7PqTPp90gffZckT57pqklIn2pxMifJ4D0GbYHpM8QJtLnAxPpc+OK9PmgLVvCyq4P6fNpN0ifPVekz55paomSvpdeeilUZaRP98u+vr7UyyB/mwiUJn0fffRRePXVV7MpF9NNN10YPnx4mGmmmdwuWz+Mxx57LIwePdqtjtqCkT4f1GVPtyy7PlFjeqd922F6pz1TpnfaM0X67JmqRKTPnivSZ880tUSkL5UY+Usb6Xv66afDOeecE26++eZwzz33BIlfPs0111zha1/7WhgzZkzQQm/LTQmQPp+G3g6xLVvCyq4P6fNpq0ifPVekz54p0mfPFOnzYYr0+XBNKRXpS6FF3loCLiN9d955ZzjwwAMz2fvkk0/C1FNPHZZccskw++yzh1lmmSW8//774c033wzaNlpbzw4aNCjMNttsYYcddsiGrKeddtqWI4X0tYywbgFInw9XRvrsuSJ99kyRPnumSJ89U6TPhynS58M1pdQofbvuumvKYS55TzzxxGzNNdM7XfC6FGoufRtuuGG45JJLMsHTv6+33nrhi1/8YiZ+9dLzzz8fbrzxxnDBBReEW2+9Ndv+9bzzzmv5+zNIn0t7CUifD1ekz54r0mfPFOmzZ4r02TNF+nyYIn0+XFNKRfpSaJHXfaRv0UUXDQcccEDYdNNNwxRTTJFE/KmnngqHHXZYGDFiRNhnn32Sjq3NjPS1hK/hwUifD1ekz54r0mfPFOmzZ4r02TNF+nyYIn0+XFNKRfpSaJHXXfo+/vjj8JnPfKYl0poSmiqMSF9LyAsfjPQVRpWUEelLwlUoM9JXCFNSJqQvCVehzEhfIUzJmdjIJRlZvwcgff0ics8QpW+XXXZxr6u/Ck466SSmd/YHqWJ/N5/eWZXrY6TPJxJInw9XpM+eK9JnzxTps2eK9NkzVYlInz1XpM+eaWqJSF8qMfLnCSB9hu2hHUI0ePBgwyvov6h2XGPZu2mWXZ+oI339t73UHEhfKrH+8yN9/TNKzYH0pRIrlh/pK8YpJRfSl0LLJy/S58O1V0otRfp0ozjzzDPDgw8+GF588cXJPt0g2NrBU7t9WiVG+qxITloO0ufDFemz54r02TNF+uyZIn32TFUi0mfPFemzZ5paYpS+nXfeOfVQ8/wnn3xyy9M7zz///HD77bdnL74ffvjhMGHChHD22WeHLbfcsu75jhs3Lhx88MHhsssuy3b/1+6h66+/fvbFgCFDhphfY7cV6C59d999d1hzzTXDW2+9FT799NOG/CR9Wg9olZA+K5JInw/JSUtF+uwpI332TJE+e6ZInz1TpM+HKdLnwzWl1G6TvgUWWCD885//DMOGDcukTf/eSPree++9sOKKK4YHHnggrLbaamGZZZYJ999/f7jhhhvCcsstl30BYJpppknB2XN53aVPDfSuu+4KRx55ZNhoo40yK291o5ciUUL6ilBKz8NIXzqzIkcgfUUopeVB+tJ4FcmN9BWhlJYH6UvjVTQ3I31FSRXPh/QVZ+WVM0rfTjvt5FVF4XJPOeWUlkf6brrppqBd//W8Pu6448Iee+zRUPoOOuigMHbs2LDXXnuFo446auJ57r333uHoo48ORxxxRMs7/xe++A7N6C59+tD6d7/73aAh3DIT0udDG+nz4Yr02XNF+uyZIn32TJE+e6YqEemz54r02TNNLbHbpC9//c2kTzMF55lnnqDpnZrWOf300088VCOA+sb38OHDw9NPP52KtKfyu0ufNsXQfNsTTzyxVLBInw9upM+HK9JnzxXps2eK9NkzRfrsmSJ9PkyRPh+uKaX2qvQ9+eSTYbHFFgtrrLFGuPbaaydDpv9+/fXXh+eeey7MO++8KUh7Kq+79G2//fbhjjvuyObdtvrtvZTIIH0ptIrnRfqKs0rJifSl0CqWF+krxiklF9KXQqtYXqSvGKfUXIz0pRLrPz/S1z8j7xzq22pDxKpM75xrrrlCX1+fyWU3G+m7+uqrw1prrRV22GGHcOqpp05W34477hhOO+20bEPIVVZZxeR8urEQd+nTUOzKK68cRowYkc3XLWs7fKTPp7kifT5ckT57rkifPdP/1955gFtRXf17UywgVrA3EBAsiFiwxh5L8rfEiiWCPWo0JppGPutnr2kaNTbUGHuixl6x3KgoxgqKKNgbFsAGUf/fmofDc+/lXu7se39rzzln3nme78mnrll75l37njPvWXtmkD49U6RPz9QyIn16rkifnmlsxmqTPvv8GjRoUIunESuDc5O+a665Juy9997hd7/7XTj55JPnGM/+vd3Td/PNN4cf/ehHsVhLE+8ufUbSLmi33HLLYB8Yiy66aFhooYXmAGxP75w4caIMPNInQ9kkEdLnwxXp03NF+vRMkT49U6RPzxTp82GK9PlwjcmK9CF9MfOleay79Fmrdfvttw9fffVVmGeeecISSywRunbt2uIxv/766x05lyb7In0ylEifD8omWZE+PWSkT88U6dMzRfr0TJE+H6ZInw/XmKwV6bPljEVvtsyS5Z1FVyFufHfpW2eddYJdKFx55ZVh1113zV7CnmJD+nwo0+nz4Yr06bkifXqmSJ+eKdKnZ4r0+TBF+ny4xmQtq/RVHuSyzTbbhLvuumsOZDzIJd8scpe+7t27Z+tw//rXv+Y7IlEU0icC2SwN0ufDFenTc0X69EyRPj1TpE/PFOnzYYr0+XCNyVpW6eOVDTGzpPVYd+mzC68ddtihxaftaE6h5SxInw9dpM+HK9Kn54r06ZkifXqmSJ+eKdLnwxTp8+Eak7UiffYUy6I3e1pmquWddq68nL3jFXeXvpEjR4YbbrghPPfcc8Fe1J5qQ/p8SCN9PlyRPj1XpE/PFOnTM0X69EyRPh+mSJ8P15is9SZ9l1xySfZaN9vs++Wpp54KG220UejXr1/273baaafs/2yzl7Dbf3v22WfD1ltvHdZaa60wduzYcM8994R11103jB49OqlnxNStWmLdpW/GjBlhjz32CB9//HH2ONXBgweHHj16uJ8/0ueDGOnz4Yr06bkifXqmSJ+eKdKnZ4r0+TBF+ny4xmStSJ+9A7vo7fzzz+9wp2/EiBFh1KhRrZ6KdfdOOOGE2f/9s88+y/75pptuCu+//35Yaqmlwu677551AVO4RdHMOzq+u/R16dIlO0Zbjzu3h7jYf/vvf//b0fOZvT/SJ0PZJBHS58MV6dNzRfr0TJE+PVOkT88U6fNhivT5cI3JWm/SF3PuxHacgLv0bbbZZrmf2Pnggw92/IxmZShC+uadd17Z8edNtPjii+cNlcT16dNHkicmyfjx42PCOxw7dOjQDueITXDrrbfG7tKhePsRJuU2derUlMNlY9nrYVJutoQ99TZp0qSkQ66++upJx7PBUp9j7969k55jS++t9T6A1EyLmDepZbqI78bNN9/ce6o0yW/L6lJvH374YbIhbXnggAEDQuxLxZMd4P8NhPSlpF1/Y7lLX1HIkD4f8kV8sSF9+loifXqmSJ+eKdJXH0yRPp86In1arrUifW+//XaoluWdyy67bFVLsnaG1H42pE9YQzp9QpiNUiF9eq5In54p0qdnivTVB1Okz6eOSJ+WK9IXx9Pu6UP64pgVHY30CSuA9AlhIn0+MGdlRfr0eJE+PVOkrz6YIn0+dUT6tFyRvjieSF8cr2qITiJ9L730UrD3eYwZMyZ8+umn4Ztvvpnj3O1BLhMnTpQxYXmnDGWTRCzv9OHKPX16rtzTp2daxMV76vvPuKevPuYN9/Tp68g9fXqmsRnt2taWdx522GGxu8rjL7jgAjp9cqq+Cd2lz3452XbbbcPXX38dunbtGpZccsnsf1vaXn/9ddnZIn0ylEifD8omWZE+PWSkT88U6dMz5UEueqaWEenTc0X69ExjMyJ9scSIb0zAXfo22GCD7GWLF110URg+fHiovMLBuwxInw9hOn0+XJE+PVekT88U6dMzRfr0TJE+H6ZInw/XmKxIXwwtYpsTcJe+7t27h1122SVcddVVSekjfT64kT4frkifnivSp2eK9OmZIn16pkifD1Okz+LponkAACAASURBVIdrTNaK9B166KExu7nE/uUvf2F5pwtZv6Tu0mfvkdt3333DOeec43cWLWRG+nxwI30+XJE+PVekT88U6dMzRfr0TJE+H6ZInw/XmKxIXwwtYpN3+mxJ57hx48KTTz6ZlD7S54Mb6fPhivTpuSJ9eqZIn54p0qdnivT5MEX6fLjGZEX6YmgRm1z6Pvjgg7DxxhtnD3M5/fTTgy33TLEhfT6UkT4frkifnivSp2eK9OmZIn16pkifD1Okz4drTNaK9P3kJz+J2c0l9sILL2R5pwtZv6Tuyzu32GKL7DUN9mGxwAILhJVXXjm09CVnr2y4//77ZWeK9MlQNkmE9PlwRfr0XJE+PVOkT88U6dMzRfp8mCJ9PlxjsiJ9MbSITd7p69y5cy7qJn0tvb8v184tBCF97SU39/2QPh+uSJ+eK9KnZ4r06ZkifXqmSJ8PU6TPh2tM1or0HXLIITG7ucTaU/mXXXbZ0NDQ4JKfpHoC7p0+/SHny4j05eMUG4X0xRLLF4/05eMUE4X0xdDKF4v05eMUE4X0xdDKH8t7+vKzyhuJ9OUl5ReH9PmxLUNmpE9Y5XnnnVeYLV8qezpqyg3p86GN9Om5In16pkifninSp2dqGZE+PVekT880NiPSF0uM+MYEkD7hfED6hDAbpRo/frxP4layDh06NOl4NhjSp0eO9OmZIn16pkifninS58MU6fPhGpPVpO+tt94K1bK8c7nllmN5Z0wBC46VS995550X7KWR888/f7tObezYscGe+GlP++zIxvLOjtBrfV86fT5ckT49V6RPzxTp0zNF+vRMkT4fpkifD9eYrEhfDC1imxOQS589oXPhhRcOhx9+eNhrr71CHkmYOXNmuP3228Mll1wS7rzzznDGGWeEY445pkPVQvo6hK/VnfPUUz0ynT410RC+++47fdK5ZJw6dWrS8WwwpE+PHOnTM0X69EyRPh+mSJ8P15isSF8MLWLdpe/NN98MI0eODNdcc0021pAhQ8L6668f1lprrbDkkkuGRRddNHz55Zfh448/DhMmTMhe2v7II49kr3VYYYUVwqmnnhr23HPPDlcK6eswwhYTIH0+XOn06bkifXqmSJ+eKdKnZ4r0+TBF+ny4xmStSN/BBx8cs5tL7MUXXxxY3umC1i2pvNNXOdKXX3452Isbr7rqqkzw7JUMzTfrNtgrHTbZZJNsffLOO+8c5plnHsnJIn0SjHMkQfp8uCJ9eq5In54p0qdnivTpmSJ9PkyRPh+uMVmRvhhaxDYn4CZ9lYFM7OyDwt7jYTefmgB269Yt2FMnBw0aFL73ve+FRRZZRF4ZpE+ONEuI9PlwRfr0XJE+PVOkT88U6dMzRfp8mCJ9PlxjsiJ9MbSITS59RSFH+nzII30+XJE+PVekT88U6dMzRfr0TJE+H6ZInw/XmKwV6TvooINidnOJ/etf/8ryTheyfkndO31+hz73zEifD3mkz4cr0qfnivTpmSJ9eqZIn54p0ufDFOnz4RqTFemLoUUsnT7HOcB7+nzg8vROPVee3qln+txzz+mTtpFx0qRJScdE+vS4kT49U6TPhynS58M1JivSF0OLWKTPcQ4gfT5wkT49V6RPzxTp0zO1jKnFtnfv3j4n0kpWpM8H95QpU3wSt5K1iFUwm2++edJzRPqS4m5xsIr0HXjggYUfjL1mjad3Fl6GqANgeWcUrrkHI31CmI1SIX16rkifninSp2eK9NUH0yI6xEiffu4gfXqmsRmRvlhixDcmgPQJ5wPSJ4SJ9PnAnJUV6dPjRfr0TJG++mCK9PnUkU6fluvo0aPDgAEDsqfNV+tm0mfvw66WTt/yyy9f1byqtY5FHRfSJySP9AlhIn0+MJE+N65Inw9alnfquaZmivTpa2gZkT4tV6Qvjqct70T64pgVHY30CSuA9AlhIn0+MJE+N65Inw/a1ILCPX36OiJ9eqZIn54p0hfHFOmL41UN0e7SN3369OyF7Msss0zo2rXr7HO+4YYbwi233BLmn3/+cPjhh4chQ4ZIeVgL/OWXXw6bbrqpNO/ckk2bNi3ZWJWBBg8enHTMddddN+l4NtiHH36YdEybr6m3+eabL+mQX3/9ddLx7rnnnqTj2WA9evRIOubSSy+ddDwbLPUypFdeeSX5Ofbq1SvpmKk/xzfYYIOk52eDffXVV0nHnDlzZtLxbLDUn6m77rpr8nPs1q1b0jG/+OKLpOPZYE899VSyMe+9997Qv3//5J+rMSdYWd55wAEHxOzmEnvppZfS6XMh65fUXfoOO+ywcOWVV4b3338/LLDAAtmZ2Asdf/KTn4TKfUX27+0P29ZSqzakT0WyaR6kz4dr6gsUpE9fR6RPz9QyIn16rkifninSp2eK9M3JFOnzmWdlyeoufauuumro169faPzyaXu08TfffBOuueaa8N5774V999037LXXXsFaxaoN6VORRPp8SDbNivTpKdPp0zOl06dnSqdPz9Qypv5MRfp86kinrylXpM9nnpUlq7v0LbroomH48OHh97//fcZ03LhxYbXVVgtnnnlmOOaYY7J/N2zYsPD000+HCRMmyLgjfTKUTRLR6fPhmvoChU6fvo50+vRMLSOdPj1XOn16pkifnqllRPpalr7999/fB3hE1ssuu4zlnRG8qiHUXfq6d+8efvazn4XTTjstO1/r5h1yyCHhmWeeCWussUb270aOHBn+8Ic/hM8//1zGBOmToUT6fFA2yYr06SHT6dMzpdOnZ0qnT8/UMqb+TEX6fOqI9CF9PjOrnFndpW/llVcO9uSum2++OSO8++67hwcffDB88MEHoVOnTtm/Mwn8xz/+kf071Yb0qUg2zUOnz4dr6gsUOn36OtLp0zO1jHT69Fzp9OmZIn16ppYR6UP6fGZWObO6S98RRxwRLr744nD22WcHe9KUPdhln332CdYWrmz2hE3r8in/uJE+nwmN9PlwRfr0XOn06ZnS6dMzpdOnZ2oZU3+mIn0+dVReF7Z1hLX09M799tuvrdNx/++XX345yzvdKWsHcJe+d955J5iAvfHGG9mR26sbHn/88bDccstl/2z/fqWVVgpHHnlkOPfcc2Vnh/TJUDZJhPT5cE19gUKnT19HOn16ppaRTp+eK50+PVOkT8/UMiJ9TblWHuSC9PnMt3rP6i59BtDe7XL//fdnyzk32WSTsNBCC83m+uKLL4b77rsvbLPNNmHgwIEy3kifDCXS54OySVakTw+ZTp+eKZ0+PVM6fXqmljH1ZyrS51NHpA/p85lZ5cyaRPqKQIv0+VCn0+fDNfUFCp0+fR3p9OmZWkY6fXqudPr0TJE+PVPLiPS1LH0jRozwAR6R9YorrmB5ZwSvaghF+oRVmDZtmjBbvlSDBw/OFyiKQvpEIJulQfr0XOn06ZnS6dMzpdOnZ2oZU3+mIn0+dUT6kD6fmVXOrHLps3eH2DLOU089NSy55JIh77tEbJ9LL71UVgU6fTKUTRIhfT5cU1+g0OnT15FOn56pZaTTp+dKp0/PFOnTM7WMSN+c0mfPwqiWTt8KK6wQGhoafIpPVjkBufR17tw5kz57Cbu9rsH+Oc9m+3zzzTd5QnPFIH25MEUHIX3RyHLtgPTlwhQVRKcvCleuYDp9uTBFBdHpi8KVOzj1ZyrSl7s0UYFIH9IXNWEInisBufRNnjw5G3DZZZcNXbt2DZV/zlOHFVdcMU9YrhikLxem6CCkLxpZrh1SX6DQ6ctVlqggOn1RuHIH0+nLjSp3IJ2+3KhyByJ9uVFFBSJ9SF/UhCE4rfRVC2+kz6cSSJ8PV6RPz5VOn54pnT49Uzp9eqaWMfVnKtLnU0ekr2XpGz58uA/wiKyjRo0KLO+MAFYFofJOX/Nz+u6777Llnm1tn3zySVh00UXbCsv935G+3KiiApG+KFy5g1NfoNDpy12a3IF0+nKjigqk0xeFK1cwnb5cmKKCkL4oXLmDkT6kL/dkIbBNAu7SZ+/l+9vf/pY91rW17YEHHgj2q8Wbb77Z5gHnDUD68pKKi0P64njljUb68pLKH0enLz+rvJF0+vKSyh9Hpy8/q5jI1J+pSF9MdfLHIn1IX/7ZQmRbBNylzx7kYh28Cy+8MOy2225Njsce3PK73/0unH322WHBBRcM1u1TbUifimTTPEifD9fUFyh0+vR1pNOnZ2oZ6fTpudLp0zNF+vRMLSPS17L07bvvvj7AI7JeeeWVLO+M4FUNoe7Sd+edd4b99tsvfPjhh1k3709/+lNYYIEFwoQJE8Jee+0Vnn766WCCdvXVV4fevXvLmCB9MpRNEiF9PlyRPj1XOn16pnT69Ezp9OmZWsbUn6lIn08dkT6kz2dmlTOru/QZ1orw3XXXXaF///7BfqE4/fTTg/3a+D//8z/h2GOPzf1qh7xlQvrykoqLQ/rieOWNTn2BQqcvb2Xyx9Hpy88qJpJOXwytfLF0+vJxiolC+mJo5Y9F+pC+/LOFyLYIJJG+ykGceOKJwf7PHuzSs2fPcNttt4X11luvrWNs139H+tqFrc2dkL42EbUrAOlrF7a57kSnT8+UTp+eKZ0+PVPLmPozFenzqSPS17L0/fjHP/YBHpH1qquuYnlnBK9qCE0mfaNHjw42Sd96663QvXv38OWXX4aDDjoonHfeeaFbt25yFkifHGmWEOnz4Zr6AoVOn76OdPr0TC0jnT49Vzp9eqZIn56pZUT6kD6fmVXOrO7SZw9rsSWc9rAWk73zzz8/bL311tn9fXfffXcYOHBguOaaa8Kaa64prQDSJ8U5OxnS58MV6dNzpdOnZ0qnT8+UTp+eqWVM/ZmK9PnUEembU/omT56cNVGK3qzTt+KKK4aGhoaiD4XxcxJwl76hQ4dmv9TYMk57dcNKK600+9B+//vfh9/+9rfB3uV38sknh2OOOSbnYbcdhvS1zag9EUhfe6i1vU/qCxQ6fW3XJDaCTl8ssXzxdPrycYqJotMXQytfLNKXj1NsFNKH9MXOGeJbJ+AufV27ds3E7oQTTghdunSZ40iee+657Cme48aNC9YVVG1In4pk0zxInw9XpE/PlU6fnimdPj1TOn16ppYx9Wcq0udTR6QP6fOZWeXM6i59Dz/8cLAXtM9ts67D0UcfHf785z/LqoD0yVA2SYT0+XBNfYFCp09fRzp9eqaWkU6fniudPj1TpE/P1DIifS1L3z777OMDPCKrvWqN5Z0RwKog1F36ijpHpM+HPNLnwxXp03Ol06dnSqdPz5ROn56pZUz9mYr0+dQR6UP6fGZWObMifcK6T5s2TZgtX6rBgwfnCxRFIX0ikM3SpL5AodOnryOdPj1Ty0inT8+VTp+eKdKnZ2oZkT6kz2dmlTNrEumze/Wuu+66cP/994d33nkntHTBae/us/+u2qzTZ/cJbrTRRqqUbeZZcMEF24xRB9jTT1NuL7/8csrhsrG23XbbpGNOmTIl6Xg2WOq58/TTTyc9x48++ijpeDbYpEmTko5p7x5NvdlnXMqtc+fOKYfLxrIn1aXc7Lsj5TZ+/PiUw2Vj9e/fP+mYiy++eNLxbLABAwYkHXOLLbZIOp4N9vrrrycd0165lXqza8ZU2x133BH69etX1U+jtM8n+0zce++9U2FpdRx7OCPLOwsvQ9QBuEvf9OnTw1ZbbRXGjBmTPaXT5M7+t7JV/tn+V/0gF6Qvai7kCkb6cmGKDkL6opG1uQPS1yai6ACkLxpZmzsgfW0ialcA0tcubHPdCenTM43NiPTFEiO+MQF36fv1r38dzjrrrHDSSSeFww47LFuqY0/yPOSQQ4I95GXkyJFhyJAh2bv67Emfqo1On4pk0zxInw9XpE/PFenTM0X69EyRPj1Ty4j06bkifXqmsRmRvlhixCeVPvvgtWVPlZc32kWDSd9xxx2XHYd9iNh9afaOPnu1g2pD+lQkkT4fkk2zIn16ykifninSp2eK9OmZIn0+TJE+H64xWSvSZ686K3qzZg3LO4uuQtz47p2+bt26hUMPPTSce+652ZFZN8+6f6eccsrsI913333Dk08+GZRffkhf3ETIG02nLy+puDikL45XnmikLw+luBikL45Xnmjl916e8SyGe/ryksofxz19+VnFRHJPX1NaSF/M7CG2OQF36bPlnCNGjAhnn312NrZ1/Xbcccdw2WWXzT6WX/3qV9k7+r744gtZhZA+GcomiZA+H65In54r0qdnivTpmSJ9eqaWkeWdeq50+vRMYzMifbHEiG9MwF361l577dC3b99w/fXXZ+Nuuumm2ZOHTB7sMfX2UJd11lknfPrpp2HixImy6iB9MpRInw/KJlmRPj1kpE/PFOnTM0X69EyRPh+mSJ8P15isdm1r323Vsryzd+/eVf200xi2ZYh1lz7r4l1++eXh3XffzZZ2WofvwAMPDGuuuWb2VM/HHnssPP744+Hoo48OZ555pow50idDifT5oET6nLkifXrASJ+eKdKnZ4r0+TBF+ny4xmRF+mJoEducgLv0TZgwIdx8883B7turvLz4iCOOCBdccMHsVzfssssuYdSoUaF79+6yCiF9MpRInw9KpM+ZK9KnB4z06ZkifXqmSJ8PU6TPh2tM1or07bnnnjG7ucT+/e9/D3T6XNC6JXWXvtaO/MMPPwyvvfZa9uSfpZZaSn6CSJ8caZaQe/p8uLK8U88V6dMzRfr0TJE+PVOkz4cp0ufDNSYr0hdDi9jmBAqTPu9SIH0+hJE+H65In54r0qdnivTpmSJ9eqZInw9TpM+Ha0xWpC+GFrFIn+McSH3hbqcycOBAxzOaMzXS54M79dx5+umnfU6klawfffRR0vFsMKRPjxzp0zNF+vRMkT4fpkifD9eYrBXpGzZsWMxuLrHXXnstyztdyPolpdMnZJv6wh3pExavUaopU6b4JJ5L1tRzB+nTl9heR5N6GzduXNIhkT49bqRPzxTp82GK9PlwjcmK9MXQIrY5AaRPOCdSX7gjfcLiIX0+MGdlpdPngxfp03O1i6qUG9LnQ5v39Om5In16prEZkb5YYsQ3JoD0CecD0ieE2SjVtttu65O4lax0+vS4kT49U8uI9Om5In16posvvrg+aRsZkT49cqRPzzQ2Y0X69thjj9hd5fHXXXcdyzvlVH0TIn1CvkifECbS5wNzVlaWd+rxsrxTz9QyTp482SdxK1mRPj1upE/P1DK+/vrrPolbyYr0JcXd4mBIX/E1qOUjQPqE1UP6hDCRPh+YSJ8bV6TPBy3Sp+fav39/fdK5ZET6fHAjfVqud9xxR+jXr19oaGjQJhZmQ/qEMEuYyl367AWSBx10UNhiiy2S4uWVDT64eXqnD9fUPxjQ6dPXEenTM7WMSJ+eK9KnZ5r6GsfOAOnT1rGWpG/33XfXnnw7sl1//fUs72wHtyJ3cZc+e9pbp06dsolx4IEHhhEjRoSll17a/ZyRPh/ESJ8PV6RPz5VXNuiZ8vROPVMe5KJnahm5p0/PleWdeqaxGSudPqQvlhzxRsBd+l544YVw8cUXh2uuuSZ8/PHHoWvXruEHP/hBJoD2v14XEUifzwRH+ny4In16rkifnqnX5/XcjpROn76OdPr0TOn06ZlaxnfeeccncQtZ6fTFoabTF8erGqLdpa9ykjNmzAg33nhjuPTSS8NDDz2U/Wvr+O23335h//33D3369JHyQPqkOGcnQ/p8uCJ9eq5In54p0qdnSqdPz9Qy0unTc6XTp2cam9GubW1Zb7V0+uzavZrvgYzlW+/xyaSvMUibsJdcckkYNWpUePfdd7Pln/YrmXX/dt5556wb2NEN6esowZb3R/p8uCJ9eq5In54p0qdnivTpmSJ9PkyRPh+uMVnrTfrs1q/WVnMMHz48XHHFFTF4iG2DQCHSZ8f07bffhn/+85/hpz/9aXjvvfeywzT5s6d8jRw5Mhx55JEdKh7S1yF8re6M9PlwRfr0XJE+PVOkT88U6dMzRfp8mCJ9Plxjslakb7fddovZzSX2hhtuyFbpdaTTZ9L36aefhqOOOmqOY1xzzTXDTjvt5HLsZU2aXPomTpyYLfG0Lp/J3jzzzBN+9KMfBTP6sWPHhgsuuCDr/v36178Op556arvrgvS1G91cd0T6fLgifXquSJ+eKdKnZ4r06ZkifT5MkT4frjFZ61H67PxTf1/HMK+n2CTS9/XXX2f389mSzocffjh89913wW4kP/jgg7OneTZ+1PmXX36ZLfW0JaCVDmB7gCN97aHW9j5IX9uM2hOB9LWH2tz3Sf0lwisb9DW0jDzIRc+VB7nomfIgFz1Ty8iDXJpyRfp85llZsrpL3xFHHJE9udPat5Wu3iGHHBI222yzVhmfeOKJ4aSTTgrffPNNu+uA9LUb3Vx3RPp8uCJ9eq5In54pnT49Uzp9eqaWkQe56LnS6dMzjc1Ykb5dd901dld5vDVzFMs7rTF0xhlnBJtfiyyySNhggw3CkCFD5MdLwgSvbLCLhNa6eq0V4JFHHgkPPPBAOP7449tdI6Sv3eiQvilTfODNJSvSp0eO9OmZIn16pkifninS58MU6fPhGpO12qRv+vTpYdCgQS2eQp57/Vp7kIt1zq+++uok7/WO4V/rse6dPns9w9y6el4AkT4fsnT6fLgifXquSJ+eKdKnZ4r06ZkifT5MkT4frjFZ6036bFXfJptsElZbbbXQrVu3MG7cuHDyySeHW2+9Nev2jRkzJnTp0iUGEbFzIeAufUXRR/p8yCN9PlyRPj1XpE/PFOnTM0X69EyRPh+mSJ8P15isFenbZZddYnZzib3ppps6vLyzpQOz535svfXW4b777sueB1IN5+oCsICkSJ8Q+rzzzivMli/VQgstlC9QFLXxxhuLMuVPk/ocZ8yYkf/gRJGp507qC80iZMGWiKfcpk6dmnK4bCy7FyLlVsTfxtprr53yFEPqcyzih7TUj3u3J3Kn3lI/WGnddddNfYrZA+9SbosttljK4bKxHn300WRj3nLLLaFv374degWB98GWQfqM4XXXXReGDRsWfv7zn4dzzz3XG2tp8iN9wlKnvnC3Q08tREifcMI0SpV67iB9+joifXqmlhHp03NF+vRMkT49U6RvTqZlkT770XbLLbcM9uDHCy+80GdylTAr0icseuoLd6RPWLxGqVL/0m9Dp547SJ9+7iB9eqZInw9TpE/PFenTM0X6Wpa+1157rSqWPNryzpVWWsmlM2pP8/zNb34TTjvttOx/2TQEkD4NxyxL6gt3pE9YPKTPB+asrCzv9MHL8k4919Q/+rC8U19Dy8jyTj1XlnfqmcZmtE5fvUjfSy+9FJZZZpnsNQ2Nt7Fjx4bNN988fPHFF9mDXfr16xeLifhWCCB9wqmB9AlhNkqVeglr6ou+In4woNOnn6t0+vRMLSPLO/Vc6fTpmdLp0zO1jNzT15RrPUnfCSecEM4888xsGeeKK644++mdd955Z3bSf/zjH8Phhx/uM7FKmhXpExYe6RPCRPp8YM7KivTp8SJ9eqZInw9TpE/PFenTM0X65mRakb6dd97ZB3hE1ptvvrlDyztHjx4dLrjggvDMM8+E9957L3z11VdhiSWWCHaORx11VPa/bFoCSJ+QJ9InhIn0+cBE+ty4In0+aOn06bkifXqmSJ+eKdJX39LnM2PIOjcCSJ9wfiB9QphInw9MpM+NK9Lngxbp03NF+vRMkT49U6Svden70Y9+5AM8Ius//vGPDnX6IoYiVEQA6ROBtDRInxAm0ucDE+lz44r0+aBF+vRckT49U6RPzxTpQ/p8ZlV5syJ9wtojfUKYSJ8PTKTPjSvS54MW6dNzRfr0TJE+PVOkD+nzmVXlzYr0CWuP9AlhIn0+MJE+N65Inw9apE/PFenTM0X69EyRvtalb6eddvIBHpH1n//8J8s7I3hVQyjSJ6wC0ieEifT5wET63LgifT5okT49V6RPzxTp0zNF+pA+n1lV3qxIn7D2SJ8QJtLnAxPpc+OK9PmgRfr0XJE+PVOkT88U6UP6fGZVebMifcLaI31CmEifD0ykz40r0ueDFunTc0X69EyRPj1TpK916dtxxx19gEdkveWWW1jeGcGrGkKRPmEVkD4hTKTPBybS58YV6fNBi/TpuSJ9eqZIn54p0of0+cyq8mZF+oS1R/qEMJE+H5hInxtXpM8HLdKn54r06ZkifXqmSB/S5zOrypsV6RPWHukTwkT6fGAifW5ckT4ftEifnivSp2eK9OmZIn0tS9/EiRNDtSzv7Nu3b2hoaPApPlnlBJA+IVKkTwgT6fOBifS5cUX6fNAifXquSJ+eKdKnZ4r0IX0+s6q8WZE+Ye2RPiFMpM8HJtLnxhXp80GL9Om5In16pkifninS17r07bDDDj7AI7LeeuutgU5fBLAqCEX6hEVA+oQwkT4fmEifG1ekzwct0qfnivTpmSJ9eqZIH9LnM6vKmxXpE9Ye6RPCRPp8YCJ9blyRPh+0SJ+eK9KnZ4r06ZkifUifz6wqb1akT1h7pE8IE+nzgYn0uXFF+nzQIn16rkifninSp2eK9LUufdtvv70P8Iist912G8s7I3hVQyjSJ6wC0ieEifT5wET63LgifT5okT49V6RPzxTp0zNF+pA+n1lV3qxIn7D2SJ8QJtLnAxPpc+OK9PmgRfr0XJE+PVOkT88U6UP6fGZVebMifcLaI31CmEifD0ykz40r0ueDFunTc0X69EyRPj1TpK916ft//+//+QCPyPqvf/2L5Z0RvKohFOkTVgHpE8JE+nxgIn1uXJE+H7RIn54r0qdnivTpmSJ9SJ/PrCpvVqRPWHukTwgT6fOBifS5cUX6fNAifXquSJ+eKdKnZ4r0IX0+s6q8WZE+Ye2RPiFMpM8HJtLnxhXp80GL9Om5In16pkifninS17L0vfrqq6Falnf269cvNDQ0+BSfrHICSJ8Q6ddffy3Mli/VggsuLBtJMgAAIABJREFUmC9QFLXccsuJMuVPk1qmBw8enP/gajTy7bffTnrkRcybjz76KOk5Pvroo0nHs8FS/23MnDkz+TlOmTIl6ZjPP/980vFGjBiRdDwbrFOnTknHfOutt5KOZ4Ntt912Scecb775ko5ng7322mtJx0z9t2gn16NHj2TneMkll4Tll1++qiVmww03DEhfsilRdwMhfcKSIn1CmI1Spb6wRfr0dUT69EyRPh+mSJ+eK9KnZ4r06ZkifXFM7UEudPrimBUdjfQJK4D0CWEifT4wZ2Wl06fHS6dPz9Qypu4uIH36OiJ9eqZIn55pLUnfD3/4Qz2AyIy333470hfJrOhwpE9YAaRPCBPp84GJ9LlxRfp80CJ9eq4s79QzZXmnnqllZHlnU66V5Z1In898q/esSJ+wwkifECbS5wMT6XPjivT5oEX69FyRPj1TpE/PFOmbk2lF+n7wgx/4AI/Iescdd9Dpi+BVDaFIn7AKSJ8QJtLnAxPpc+OK9PmgRfr0XJE+PVOkT88U6UP6fGZVebMifcLaI31CmEifD0ykz40r0ueDFunTc0X69EyRPj1TpA/p85lV5c2K9Alrj/QJYSJ9PjCRPjeuSJ8PWqRPzxXp0zNF+vRMkb7WpS/1K0laqu6dd97J8k6fae+WFekTokX6hDCRPh+YSJ8bV6TPBy3Sp+eK9OmZIn16pkgf0uczq8qbFekT1h7pE8JE+nxgIn1uXJE+H7RIn54r0qdnivTpmSJ9SJ/PrCpvVqRPWHukTwgT6fOBifS5cUX6fNAifXquSJ+eKdKnZ4r0tS592267rQ/wiKx33XUXyzsjeFVDKNInrALSJ4SJ9PnARPrcuCJ9PmiRPj1XpE/PFOnTM0X6kD6fWVXerEifsPZInxAm0ucDE+lz44r0+aBF+vRckT49U6RPzxTpQ/p8ZlV5syJ9wtojfUKYSJ8PTKTPjSvS54MW6dNzRfr0TJE+PVOkr2XpmzBhQqiW5Z39+/cPDQ0NPsUnq5wA0idEivQJYSJ9PjCRPjeuSJ8PWqRPzxXp0zNF+vRMkT6kz2dWlTcr0iesPdInhIn0+cBE+ty4In0+aJE+PVekT88U6dMzRfqQPp9ZVd6sSJ+w9kifECbS5wMT6XPjivT5oEX69FyRPj1TpE/PFOlrXfq22WYbH+ARWe++++7A8s4IYFUQivQJi4D0CWEifT4wkT43rkifD1qkT88V6dMzRfr0TJE+pM9nVpU3K9InrD3SJ4SJ9PnARPrcuCJ9PmiRPj1XpE/PFOnTM0X6Wpe+rbfe2gd4RNZ77rmHTl8Er2oIRfqEVUD6hDCRPh+YSJ8bV6TPBy3Sp+eK9OmZIn16pkgf0uczq8qbFekT1h7pE8JE+nxgIn1uXJE+H7RIn54r0qdnivTpmSJ9SJ/PrCpvVqRPWHukTwgT6fOBifS5cUX6fNAifXquSJ+eKdKnZ4r0tS593//+932AR2S99957Wd4ZwasaQpE+YRWQPiFMpM8HJtLnxhXp80GL9Om5In16pkifninSh/T5zKryZkX6hLVH+oQwkT4fmEifG1ekzwct0qfnivTpmSJ9eqZIH9LnM6vKmxXpE9Ye6RPCRPp8YCJ9blyRPh+0SJ+eK9KnZ4r06ZkifS1L3yuvvBKqZXnnyiuvHBoaGnyKT1Y5AaRPiBTpE8JE+nxgIn1uXJE+H7RIn54r0qdnivTpmSJ9SJ/PrCpvVqRPWHukTwgT6fOBifS5cUX6fNAifXquSJ+eKdKnZ4r0IX0+s6q8WZE+Ye2RPiFMpM8HJtLnxhXp80GL9Om5In16pkifninS17r0bbXVVj7AI7Led999geWdEcCqIBTpExYB6RPCRPp8YCJ9blyRPh+0SJ+eK9KnZ4r06ZkifUifz6wqb1akT1j7BRdcUJgtX6pp06blCxRFzZgxQ5Qpf5pevXrlDxZErrPOOoIscSluu+22uB06GH3ooYd2MEPc7h999FHcDoLod955R5Alf4qePXvmDxZFXn/99aJM+dL06dMnX6AwasKECcJsbafaaKON2g4SRhTxt5H6M66I78bx48cLq9R2qgEDBrQdJI6YOnWqOOPc07311ltJx7PBPvnkk2Rj3n777aFfv35V/WCSDTfcMNiDXLbccstkXFob6P7776fTV3gV4g4A6YvjNdfoIr7YkD5hAWelSn1BZMMiffo6In16pkifninSp2dqGZE+PVekT880NiPSF0uM+MYEkD7hfED6hDAbpaLTp+dKp0/PlE6fnqllpNOn55r6h60ivhuRPv28Qfr0TGMzIn2xxIhH+pzmQBFfbHT69MVMfUFEp09fQ8tIp0/PlU6fnimdPj1TOn0+TJE+H64xWSvSt8UWW8Ts5hL7wAMPsLzThaxfUjp9QrZInxAmnT4fmLOy0unT46XTp2dqGen06bmm/mGriO9GOn36eYP06ZnGZkT6YokR35gA0iecD0V8sdHpExZwVqrUF0Q2LPf06etIp0/PlE6fnimdPj1Ty4j06bkifXqmsRmRvlhixCN9TnMA6fMByz19eq50+vRM6fTpmdLp82Ga+oetIr4bkT793EH69ExjM5r0vfzyy6FalnfaU2sbGhpiT4P4ggjQ6ROCL+KLjU6fsIB0+vQwZ2UsoptBp09fTjp9eqZF/G0gffo68soGPVPLyCsbmnJF+nzmWVmyIn3CSiN9QpiNUtHp03Ol06dnSqdPz5ROnw9TpE/PFenTM0X65mSK9PnMs7JkRfqElUb6hDCRPh+Ys7IifXq8SJ+eKdLnwxTp03NF+vRMkb7WpW/zzTf3AR6R9cEHHwws74wAVgWhSJ+wCEifECbS5wMT6XPjivT5oOXpnXquSJ+eKdKnZ4r0IX0+s6q8WZE+Ye2RPiFMpM8HJtLnxhXp80GL9Om5In16pkifninSh/T5zKryZkX6hLVH+oQwkT4fmEifG1ekzwct0qfnivTpmSJ9eqZIX+vSt9lmm/kAj8j60EMPsbwzglc1hCJ9wiogfUKYSJ8PTKTPjSvS54MW6dNzRfr0TJE+PVOkD+nzmVXlzYr0CWuP9AlhIn0+MJE+N65Inw9apE/PFenTM0X69EyRvtalb9NNN/UBHpF19OjRdPoieFVDKNInrALSJ4SJ9PnARPrcuCJ9PmiRPj1XpE/PFOnTM0X6kD6fWVXerEifsPZInxAm0ucDE+lz44r0+aBF+vRckT49U6RPzxTpQ/p8ZlV5syJ9wtojfUKYSJ8PTKTPjSvS54MW6dNzRfr0TJE+PVOkr3Xp22STTXyAR2R9+OGHWd4ZwasaQpE+YRWQPiFMpM8HJtLnxhXp80GL9Om5In16pkifninSh/T5zKryZkX6hLVH+oQwkT4fmEifG1ekzwct0qfnivTpmSJ9eqZIH9LnM6vKmxXpE9Ye6RPCRPp8YCJ9blyRPh+0SJ+eK9KnZ4r06ZkifS1L3/jx40O1LO8cOHBgaGho8Ck+WeUEkD4hUqRPCBPp84GJ9LlxRfp80CJ9eq5In54p0qdnivQhfT6zqrxZkT5h7ZE+IUykzwcm0ufGFenzQYv06bkifXqmSJ+eKdKH9PnMqvJmRfqEtUf6hDCRPh+YSJ8bV6TPBy3Sp+eK9OmZIn16pkhf69L3ve99zwd4RNZHHnkksLwzAlgVhCJ9wiIgfUKYSJ8PTKTPjSvS54MW6dNzRfr0TJE+PVOkD+nzmVXlzYr0CWuP9AlhIn0+MJE+N65Inw9apE/PFenTM0X69EyRPqTPZ1aVNyvSJ6w90ieEifT5wET63LgifT5okT49V6RPzxTp0zNF+lqXvo033tgHeETWRx99lOWdEbyqIRTpE1YB6RPCRPp8YCJ9blyRPh+0SJ+eK9KnZ4r06ZkifeWQvjFjxoTjjz8+e/XDzJkzw6BBg8LRRx8ddtttN59JVeKsSJ+w+F9//bUwW75U8803X75AUdS8884rypQ/zeKLL54/WBBZxMV76l/tZsyYISCVP8Vjjz2WP1gUueyyy4oy5Uvz0Ucf5QsURr388svCbG2nKuKHrS222KLtAxNG9O7dW5it7VT2IITU21NPPZV0yHHjxiUdzwZbbrnlko75zDPPJB3PBnv++eeTjtmjR4+k49lgffr0STbmlVdeGVZYYYWqfu/chhtuGOw9fRtttFEyLq0NZN/rHX2Qy4MPPhi22WabMP/884dhw4YF+4656aabwuTJk8M555wTfvGLXxR+nvV0AEifsJpInxBmo1RIn54r0qdnivTpmVpGpE/PFenTM0X69EyRvjmZ1pP0/fe//82k8a233gqPP/54WHPNNbMT/uyzz8LQoUPDpEmTgv2wmfqHOJ+ZXB1ZkT5hHZA+IUykzwfmrKxInx4v0qdnivT5MEX69FyRPj1TpK++pe/uu+8O2267bdhvv/3CZZdd1uRkres6fPjwcOKJJ4bjjjvOZ3KVMCvSJyw60ieEifT5wET63LgifT5o6fTpuSJ9eqZIn54p0tey9Nly6WpZ3rnKKqu0eznsyJEjw2mnnRauvfbasMceezQ52ffeey8svfTS2UqP+++/32dylTAr0icsOtInhIn0+cBE+ty4In0+aJE+PVekT88U6dMzRfrqW/rsQS033nhjsM+jtddee46Ttfv7Fl100fDGG2/4TK4SZkX6hEVH+oQwkT4fmEifG1ekzwct0qfnivTpmSJ9eqZIX/VLn92XZ0/bbGmzp3HObdt6663DvffeG+wJzf369Zsj1B7GNn369OwePzYNAaRPwzHLgvQJYSJ9PjCRPjeuSJ8PWqRPzxXp0zNF+vRMkb7Wpc8e6FL0ZlKH9BVdhbjxkb44XnONRvqEMJE+H5hInxtXpM8HLdKn54r06ZkifXqmSF/1S19H7uljeafP38zcsiJ9QuZInxAm0ucDE+lz44r0+aBF+vRckT49U6RPzxTpq2/pqzzI5e9//3v2jr7GGw9y8fl7QvqEXJE+IUykzwcm0ufGFenzQYv06bkifXqmSJ+eKdLXuvRtsMEGPsAjsv773/8OHen0ze2VDaNGjQojRozglQ0R9cgTivTloZQzBunLCSoyjJezRwLLEc57+nJAigxB+iKB5QxH+nKCighD+iJg5QxF+nKCigzr06dP5B7tD7d3w62wwgrtfgVB+0fOv6fdy2evbKgH6bP7AQcMGBDefvttXs6efwp0KBLp6xC+pjsjfUKYjVIhfXquSJ+eKdKnZ2oZkT49V6RPzxTp0zO1jEhfU671JH12Zg8++GDYZpttwvzzz58t8bTXNNx0001h8uTJ4eyzzw5HH320z8QqaVakT1h4pE8IE+nzgTkrK9Knx4v06ZkifT5MkT49V6RPzxTpm5NpRfrWX399H+ARWR9//PEOLe+sDPXkk0+G448/Puuwzpw5M3sFhMne7rvvHnE0hOYhgPTloZQzBunLCSoyjE5fJLAc4UhfDkiRIUhfJLCc4XT6coKKCEP6ImDlDEX6coKKDKPT1xRYPUpf5JQgvAMEkL4OwGu+K9InhNkoFdKn54r06ZkifXqmlhHp03NF+vRMkT49U8uI9LUsfeutt54P8IisTzzxhKTTFzEkoR0kgPR1EGDj3ZE+IUykzwfmrKxInx4v0qdnivT5MEX69FyRPj1TpG9OppVOH9LnM9/qPSvSJ6ww0ieEifT5wET63LgifT5o6fTpuSJ9eqZIn54p0of0+cyq8mZF+oS1R/qEMJE+H5hInxtXpM8HLdKn54r06ZkifXqmSF/L0vfSSy+Faun0rbrqqlX9igufWVm7WZE+Ye2QPiFMpM8HJtLnxhXp80GL9Om5In16pkifninSh/T5zKryZkX6hLVH+oQwkT4fmEifG1ekzwct0qfnivTpmSJ9eqZIH9LnM6vKmxXpE9Ye6RPCRPp8YCJ9blyRPh+0SJ+eK9KnZ4r06Zkifa1L39ChQ32AR2S19+uxvDMCWBWEIn3CIiB9QphInw9MpM+NK9Lngxbp03NF+vRMkT49U6QP6fOZVeXNivQJa4/0CWEifT4wkT43rkifD1qkT88V6dMzRfr0TJE+pM9nVpU3K9InrD3SJ4SJ9PnARPrcuCJ9PmiRPj1XpE/PFOnTM0X6Wpe+dddd1wd4RNYxY8awvDOCVzWEIn3CKiB9QphInw9MpM+NK9Lngxbp03NF+vRMkT49U6QP6fOZVeXNivQJa4/0CWEifT4wkT43rkifD1qkT88V6dMzRfr0TJG+1qVvnXXW8QEekdU+R3iQSwSwKghF+oRFQPqEMJE+H5hInxtXpM8HLdKn54r06ZkifXqmSB/S5zOrypsV6RPWHukTwkT6fGAifW5ckT4ftEifnivSp2eK9OmZIn1In8+sKm9WpE9Ye6RPCBPp84GJ9LlxRfp80CJ9eq5In54p0qdnivS1LH0vvvhiqJblnauttlpoaGjwKT5Z5QSQPjnS+k4477zzJj/BGTNmJB1z2WWXTTqeDdazZ8+kYz799NNJxxs0aFDS8WywXr16JR1z5syZScezwZZZZpmkY6ZmaieX+jPnlVdeScq0d+/eScezwd55552kY+66665Jx7PBrr766qRjfvjhh0nHK6KOU6dOTX6OKT9zbrnlltC3b9+qlpgNN9wwIH3Jp2HdDIj01U0p05xI6gswOyukT19bpE/PFOnTM0X6fJgifXquSJ+eqWVE+ppyRfp85llZsiJ9Zam06DyRPhHIZmno9Om5prxYsKNH+vQ1RPp8mCJ9eq5In54p0jcn04r0rb322j7AI7Laj8cs74wAVgWhSF8VFKGWDgHp86kW0qfnivTVPlOkT19Dy4j06bkifXqmSB/S5zOrypsV6Stv7dt15khfu7C1uRPS1yai6ACkLxpZmzukZor0tVmSdgUgfe3CNtedkD49U6QP6fOZVeXNivSVt/btOnOkr13Y2twJ6WsTUXRAakFheWd0iXLtkPozhwe55CpLVBAPconClTs4tbzzIJfcpXELrCzvXGuttdzGyJt47NixLO/MC6tK4pC+KilErRxG6gsw48KDXPSzgwe56JkifXqmljH1Zw7Sp68j0qdnahmRPi3XWnp6J9KnrX1ZsiF9Zam06DxTX4AhfaLCNUuD9Om5In16pkifD9PUsoD01Ucd6fT51DEmK52+GFrENieA9DEnogggfVG4cgezvDM3qtyBLO/MjSp3YGqmSF/u0kQFIn1RuHIFc09fLkzRQSk/c2qp0zdkyJBoluodnnnmGZZ3qqE650P6nAHXW3qkz6eiSJ+ea8qLBTt6On36GiJ9PkyRPj1XpE/P1DKm/BxH+uJqiPTF8aqGaKSvGqpQQ8eA9PkUC+nTc015sYD06etXyZj6M4d7+vS1ZHmnnqllTC3vLO/0qWNM1sryzjXXXDNmN5fY//znP3T6XMj6JUX6/NjWZebUF2AGkQe56KcS9/TpmdLp0zO1jKk/c5A+fR2RPj1TpE/PtJY6fUifvv5lyIj0laHKwnNMfQGG9AmL1ygV0qfnivTpmSJ9PkxTd4iQvvqoI50+nzrGZKXTF0OL2OYEkD7mRBQBpC8KV+5glnfmRpU7kOWduVHlDkzNFOnLXZqoQKQvCleuYO7py4UpOijlZ06tdPpeeOGFUC2dvtVXXz00NDRE15UdiiGA9BXDvWZHRfp8Sof06bmmvFiwo6fTp68h0ufDFOnTc0X69EwtY8rPcaQvroZ2Tx/SF8es6Gikr+gK1Nj4SJ9PwZA+PdeUFwtIn75+lYypP3O4p09fS5Z36plaxtTyzvJOnzrGZLXlnXT6YogR25gA0sd8iCKQ+gLMDo4HuUSVKFcw9/TlwhQVRKcvClfu4NSfOUhf7tLkDkT6cqOKCkT6onC1GVxLnb7Bgwe3eT7eAc8++yydPm/I4vxInxhovadLfQGG9PnMKKRPzxXp0zO1jKk/c5A+fR2RPj1Ty4j0abkifXE8kb44XtUQjfRVQxVq6BhSX4AhfT6TA+nTc0X69EyRPh+mqWUB6auPOrK806eOMVkryzvp9MVQI7ZCAOljLkQRQPqicOUO5p6+3KhyB3JPX25UuQNTM0X6cpcmKhDpi8KVK5gHueTCFB2U8jOnljp9a6yxRjRL9Q7PPfccyzvVUJ3zIX3OgOstPdLnU1GkT8815cWCHT2dPn0NkT4fpkifnivSp2dqGVN+jiN9cTVE+uJ4VUM00lcNVaihY0D6fIqF9Om5prxYQPr09atkTP2Zwz19+lqyvFPP1DKmlneWd/rUMSZrZXknnb4YasRWCCB9zIUoAqkvwOzgeHpnVIlyBXNPXy5MUUF0+qJw5Q5O/ZmD9OUuTe5ApC83qqhApC8KV5vBtdTpGzRoUJvn4x3w/PPPs7zTG7I4P9InBlrv6VJfgCF9PjMK6dNzRfr0TC1j6s8cpE9fR6RPz9QyIn1arkhfHE+kL45XNUQjfdVQhRo6htQXYEifz+RA+vRckT49U6TPh2lqWUD66qOOLO/0qWNMVlveabJVLZ0+O46GhoaYUyC2QAJIX4Hwa3FopM+natzTp+fKPX21zxTp09ewiA4R0lcfdUT6fOoYkxXpi6FFbHMCSB9zIooA0heFK3cw0pcbVe5ApC83qtyBqZkifblLExVIpy8KV65gnt6ZC1N0UMrPnFpZ3kmnL3oascMsAkgfUyGKANIXhSt3MNKXG1XuwJQXC3ZQLO/MXZqowNSfOdzTF1WeXMF0+nJhig5KLe90+qJLJN+h0ulbffXV5bljE77wwgvZMlOWd8aSKy4e6ROyT31xYoee+smWQly5U3399de5YxWByyyzjCJNVI7UdZwyZUrU8XU0eLnllutoiuj9l1pqqeh9OrLDKqus0pHd27WvvScp5XbAAQekHC4ba9KkSUnHTP05Pm3atKTnZ4ONGTMm6ZhlkL6PPvooKVMbLLWEpf6esnNM+fc4evToMGDAgKqWGKQv+Z9ZXQ2I9AnLmfLDqXLYRXwIC5HlSoX05cIUFYT0ReHKFYz05cIUHYT0RSNrcwekr01E0QFIXzSyXDukvK5C+nKVZHYQnb44XtUQjfQJq5DywwnpExauWSo6fXq2dPr0TC0jnT4919Sf43T69DW0jFdffbVP4layIn0+uFP+PdaS9K222mo+wCOyvvjiiyzvjOBVDaFIn7AKKT+ckD5h4ZA+P5izMiN9PoiRPj3X1J/jSJ++hkifD9MiVhal/HtE+uLmDdIXx6saopE+YRVSfjghfcLCIX1+MJE+V7ZInx5v6s9xpE9fQ6TPhynS58M1Jmvlnj46fTHUiK0QQPqEcyH1xYIdehEfwkJkuVJxT18uTFFB3NMXhStXMPf05cIUHcQ9fdHI2tyBe/raRBQdwPLOaGS5dkh5XVVLnb5VV101Fz/PoJdeeonlnZ6AHXIjfUKoKT+cKoeN9AkLOCsV9/TpmbK8U8/UMtLp03NN/TlOp09fQ8vIPX16rkVcb6T8e0T64uYM0hfHqxqikT5hFVJ+OCF9wsI1S4X06dkifXqmSJ8P09Sf40ifTx2RPj1XpE/PNDZjZXknnb5YcsQbAaRPOA9SXyzYoRfxISxElisVyztzYYoKYnlnFK5cwSzvzIUpOojlndHI2tyB5Z1tIooOYHlnNLJcO6S8rqqVTp+t8KgW6VtjjTWq+r2GuSZZiYKQPmGxU344VQ4b6RMWcFYqOn16pnT69EwtI8s79VxTf47T6dPX0DLS6dNzLeJ6I+XfI9IXN2dseSfSF8es6GikT1iBlB9OSJ+wcM1SIX16tkifninS58M09ec40udTR6RPzxXp0zONzWjLO+3HviJWljQ/1nHjxiF9sQUsOB7pExYg9cWCHXoRH8JCZLlSsbwzF6aoIJZ3RuHKFVzElzCdvlyliQpK/TmO9EWVJ3cw0pcbVe7AIq43Uv491lKnr4jvG6Qv959K1QYifcLSpPxwqhx2ER/CQmS5UiF9uTBFBSF9UbhyBRfxJYz05SpNVFDqz3GkL6o8uYORvtyocgcWcb2R8u8R6cs9FbJAOn1xvKohGukTViHlhxPSJyxcs1Qs79SzZXmnnqllRPr0XFN/jiN9+hpaRqRPzxXp0zONzVhZ3jlw4MDYXeXx48ePZ3mnnKpvQqRPyDf1xYIdehEfwkJkuVLR6cuFKSqITl8UrlzBdPpyYYoO4umd0cja3IGnd7aJKDqAp3dGI8u1Q8rrqlrq9CF9uaYPQc0IIH3CKZHyw6ly2EifsICzUtHp0zOl06dnahnp9Om5pv4cp9Onr6FlpNOn51rE9UbKv0ekL27O0OmL41UN0UifsAopP5yQPmHhmqVC+vRskT49U6TPh2nqz3Gkz6eOSJ+eK9KnZxqbsbK8c8CAAbG7yuNffvlllnfKqfomRPqEfFNfLNihF/EhLESWKxXLO3NhigpieWcUrlzBLO/MhSk6iOWd0cja3IHlnW0iig5geWc0slw7pLyuqqVOH9KXa/oQ1IwA0iecEik/nCqHjfQJCzgrFZ0+PVM6fXqmlpHlnXquqT/H6fTpa2gZ6fTpuRZxvZHy7xHpi5szdPrieFVDNNInrELKDyekT1i4ZqmQPj1bpE/PFOnzYZr6cxzp86kj0qfnivTpmcZmrCzvXHnllWN3lce/8sorLO+UU/VNiPQJ+aa+WLBDL+JDWIgsVyqWd+bCFBXE8s4oXLmCWd6ZC1N0EMs7o5G1uQPLO9tEFB3A8s5oZLl2SHldVUudPqQv1/QhqBkBpE84JVJ+OFUOG+kTFnBWKjp9eqZ0+vRMLSPLO/VcU3+O0+nT19Ay0unTcy3ieiPl32OtSN+zzz4bqkX6Bg8eHBoaGvSTjYwuBJA+IdaUH05In7BwzVIhfXq2SJ+eKdLnwzT15zjS51NHpE/PFenTM43NaMs7kb5YasRXCCB9wrmQ+mLBDr2ID2EhslypWN6ZC1NUEMs7o3DlCmZ5Zy5M0UEs74xG1uZ4Xd7SAAAgAElEQVQOLO9sE1F0AMs7o5Hl2iHldRWdvlwlmR1k9/TR6YtjVnQ00iesQMoPp8phI33CAs5KRadPz5ROn56pZWR5p55r6s9xOn36GlpGOn16rkVcb6T8e6wl6evfv7++wJEZJ0yYgPRFMis6HOkTViDlhxPSJyxcs1RIn54t0qdnivT5ME39OY70+dQR6dNzRfr0TGMzVpZ3In2x5Ig3AkifcB6kvliwQy/iQ1iILFcqlnfmwhQVxPLOKFy5glnemQtTdBDLO6ORtbkDyzvbRBQdwPLOaGS5dkh5XUWnL1dJZgfR6YvjVQ3RSJ+wCik/nCqHjfQJCzgrFZ0+PVM6fXqmlpHlnXquqT/H6fTpa2gZ6fTpuRZxvZHy77GWpK9fv376AkdmfPXVV1neGcms6HCkT1iBlB9OSJ+wcM1SIX16tkifninS58M09ec40udTR6RPzxXp0zONzVhZ3on0xZIj3gggfTU+D1JfoBTxob/gggsmrVLq5aR2cqm5pp43yy67bNIa2mBTp05NOub888+fdDwbrE+fPknHnD59etLxbLBevXolHTP1+68effTRpOdng6200kpJx3zggQeSjmeDpV5u2bNnz+TnmPq7KvX3lAFN+f1/7733Zu+/q+b3ziF9yf/M6mpApK/Gy5n64r3eP/RtOqT+IkX6fP4IkT49V6RPzxTp0zNF+nyY1vv3fy1JX9++fX2KHJF14sSJLO+M4FUNoUhfNVShA8eA9HUAXiu7In16pnT69EwtI50+PVc6fXqmdPr0TIv4gRLp86ljTNZKpw/pi6FGbIUA0lfjcwHp0xcQ6dMzRfr0TJE+H6ZIn54r0qdnivTpmdLpi2NKpy+OVzVEI33VUIUOHAPS1wF4dPr08FrJiPT5oKbTp+eK9OmZIn16pkifnmmtSN9//vOfUC2dvjXXXLOq74HUz5Lazoj01Xb9AtKnLyCdPj1TpE/PlE6fD1OkT88V6dMzRfr0TJG+OKbW6UP64pgVHY30FV2BDo6P9HUQYAu7I316pkifninS58MU6dNzRfr0TJE+PdNakr7UT+BtifZrr71WuPSNGDEijBo1qsXJsOKKK4ZJkybpJ0oNZ0T6arh4duhIn76ASJ+eKdKnZ4r0+TBF+vRckT49U6RPzxTpi2NaTdL3s5/9LCyyyCJNTsD++aijjoo7qTqPRvpqvMBIn76ASJ+eKdKnZ4r0+TBF+vRckT49U6RPzxTpi2NaTdL3+uuvh969e8edQAmjkb4aLzrSpy8g0qdnivTpmSJ9PkyRPj1XpE/PFOnTM60l6Uv9EK+WaJtoFX1PX2V5J9KX7+8B6cvHqWqjkD59aZA+PVOkT88U6fNhivTpuSJ9eqZIn54p0hfHtJqk7/zzzw9Tp04N8803X1h99dXD5ptvHrp27Rp3QiWIRvpqvMhIn76ASJ+eKdKnZ4r0+TBF+vRckT49U6RPzxTpi2Nq0telS5cwaNCgFndsaGiIS9iO6NYe5GKd0L/97W9hgw02aEfW+t0F6avx2iJ9+gIifXqmSJ+eKdLnwxTp03NF+vRMkT4901qSvmq4f82ejFm09F1++eVhoYUWCuutt17o1atXmDx5crj00kvDeeedF7p37x7snYbVsBRWP1vblxHpax+3qtkL6dOXAunTM0X69EyRPh+mSJ+eK9KnZ4r06ZkifXFMTfo6ek9fp06dogbNe+/eySefHI499tjw05/+NPzpT3+KGqOeg5G+Gq8u0qcvINKnZ4r06ZkifT5MkT49V6RPzxTp0zNF+uKYKqTvwAMPjBr0jDPOCD179mxzn/fffz8stdRSYciQIWHs2LFtxpclAOmr8UojffoCIn16pkifninS58MU6dNzRfr0TJE+PdNakj578XjRmy2l7Ginz+scZs6cGbp16xb69esXxo8f7zVMzeVF+mquZE0PGOnTFxDp0zNF+vRMkT4fpkifnivSp2eK9OmZIn1xTKtZ+p544omw/vrrh2222SbcddddcSdWx9FIX40XF+nTFxDp0zNF+vRMkT4fpkifnivSp2eK9OmZIn1xTIuWvvfeey98/vnnoW/fvk0O/IMPPgjbbbddtqzziiuuCMOHD487sTqORvpqvLhIn76ASJ+eKdKnZ4r0+TBF+vRckT49U6RPz7RWpO+ZZ54J1bK80+6ZS/Fqhpaq/dBDD4UtttgibLzxxmHAgAHZvX5vvPFGuP3227N39g0bNix7bUPnzp31k6VGMyJ9NVq4ymEjffoCIn16pkifninS58MU6dNzRfr0TJE+PVOkL46pdfqKlL4333wznHTSSeHJJ58Mb731ViZ69voGu89w//33D3vvvXfcCZUgGumr8SIjffoCIn16pkifninS58MU6dNzRfr0TJE+PdNakr4VVlhBDyAyo3XVipS+yMMl/P8IIH01Pg2QPn0BkT49U6RPzxTp82GK9Om5In16pkifninSF8cU6YvjVQ3RSF81VKEDx4D0dQBeK7sifXqmSJ+eKdLnwxTp03NF+vRMkT49U6QvjinSF8erGqKRvmqoQgeOAenrADykTw+vlYxInw/qPn36+CRuJev06dOTjmeD9erVK+mYSJ8eN9KnZ4r06ZnWkvQtv/zyegCRGe2eOpZ3RkIrOBzpK7gAHR0e6esowTn3p9OnZ4r06ZlaRqRPzxXp0zNF+vRMkT49U6QvjinSF8erGqKRvmqoQgeOAenrALxWdkX69EyRPj1TpM+HKdKn54r06ZkifXqmSF8cU6Qvjlc1RCN91VCFDhwD0tcBeEifHl4rGZE+H9R0+vRckT49U6RPzxTp0zOtJelbbrnl9AAiM9prEljeGQmt4HCkr+ACdHR4pK+jBOfcn06fninSp2dKp8+HKdKn54r06ZkifXqmSF8cU6Qvjlc1RCN9wiqkFjDhoedONW3atNyxqsD55ptPlYo8swikFtsiapj679FeCpt6S32OM2bMSH2Kycebf/75k4752WefJR3PBkv992gvTa73rYi/jdSf40XUMOVcfeyxx8Iqq6wSGhoaijjVXGNuuOGG4Zlnngl0+nLhIqgZAaRPOCVSX4AJDz13KqQvN6qqDkx9sZDyi7sCPvXfI9JX1VM+98EhfblR5Q5E+nKjigpM/TkedXCi4JTfHbUifWPHjq0a6VtrrbWqWpJF07Bu0iB9wlKmvsgUHnruVEhfblRVHZj6YiHlFzfS5zf1iuhm+J1Ny5mRPj1xpE/P1DKm/hz3OYu5Z0353YH0xVXYlncifXHMio5G+oQVQPqEMBulSvmh73MG1Zc19cVCETVM/fdIp6/65nl7jgjpaw+1ue+D9OmZIn16prUkfUXcJ9+c+Ntvv4306aeha0akT4g39UWm8NBzp6LTlxtVVQciffryIH16pkVkRPr01JE+PVOkT88U6YtjivTF8aqGaKRPWIVal77u3buHPffcM/Tr1y8sscQSoUePHsG+rN95551w5513hscffzwgfcIJU2AqpE8PH+nTMy0iI9Knp4706ZkifXqmSF8cU6Qvjlc1RCN9wirUuvQttdRS4ZxzzgmvvPJKeO+998L06dPDwgsvHNZZZ52wyCKLBHuc8Zlnnikkli9VEUsD8x1Z7UYhffraIX16pkVkRPr01JE+PVOkT8+0lqRvmWWW0QOIzGgNAe7pi4RWcDjSJyxArUtf586dMxrffvttEyp2EXTGGWeE5ZdfPhx00EFh0qRJQmptp0L62mYUG4H0xRJrOx7pa5tRLUQgffoqIX16pkifninSF8cU6YvjVQ3RSJ+wCrUufXNDMWLEiLDDDjuE4447Lvz73/+eI3SNNdbIuoRXXnlleOKJJ8L++++fve/mu+++y94pc+GFF4b3339/9n6N459++umw3377BXspsj0d8OGHHw4XXXRR9v8PHTo0/PjHPw69e/cOX375ZbCX/I4aNWoOMRWWsRSpkD59mZE+PdMiMiJ9eupIn54p0qdnivTFMUX64nhVQzTSJ6xCvUrfPPPME04//fSwwgorZHL27rvvtip9JnyDBw8Ozz77bHjjjTey+wOHDBkSbO23dQlnzpyZ7VuRvieffDKLf+qpp7J7B+3/N/m7//77s3sIjznmmEwiP/7442yZqb2Q9Oqrrw7XXnutsHLlS4X06WuO9OmZFpER6dNTR/r0TJE+PdNakr6ll15aDyAyo10LsrwzElrB4UifsAD1In32QJftt98+dOrUKbunz/6oF1988XDNNdeEyy+/vEViFYmz/3jyySeH0aNHz4771a9+Fb7//e+HU045JTz00ENNpM/+oXH3sEuXLuH8888Pffr0yR4aM3LkyDB58uRsn27duoWLL744WIx1/7755hth9cqVCunT1xvp0zMtIiPSp6eO9OmZIn16pkhfHFOkL45XNUQjfcIq1Iv0meDZ8srKZt05667ddtttrT69syJ9zz33XDj66KObUK38txtvvHF23sq/s6WfJoWNt7333jvYctK77rorWzLa+J6+I488Mmy99dbhgAMOaLJcVFjGUqRC+vRlRvr0TIvIiPTpqSN9eqZIn54p0hfHFOmL41UN0UifsAr1In0VJPZgl549e4aNN944DBs2LNi9d8cff3yL99O1JHaVPPaUKbsPz177cO6552b/em7x2223XfjFL36Rdfz++c9/NpG+ffbZJzuWX/7yl2HcuHHC6pUrFdKnrzfSp2daREakT08d6dMzRfr0TGtJ+uxp60Vv9pR3lncWXYW48ZG+OF5zja436Wt8sjvuuGMYPnx4+MMf/hD+9a9/zcGh8YNZrrrqqib/fckll8w6hffcc08466yzmkifPfilebx18kzqLNb2adzp22uvvYL9329/+9vw/PPPC6tXrlRIn77eSJ+eaREZkT49daRPzxTp0zNF+uKYIn1xvKohGukTVqGepc+enmldOrsnz+7Na74hfcKJlCAV0qeHjPTpmRaREenTU0f69EyRPj1TpC+OKdIXx6saopE+YRXqWfrsCZzHHnts9lRNe5In0iecOAWkQvr00JE+PdMiMiJ9eupIn54p0qdnWivSZ7faVMvyzrXXXjs0NDToi0FGFwJInxBrrUufdfM++OCD8MUXXzSh0qNHj3DCCSeElVZaKRM+Ez+kTzhxCkiF9OmhI316pkVkRPr01JE+PVOkT88U6Ytjap0+pC+OWdHRSJ+wArUuffZC9S233DK88MIL4cMPPwwmBvYkT/ujttcl2EvZ7UEu9sJ1pE84cQpIhfTpoSN9eqZFZET69NSRPj1TpE/PtJakz56VUPT2/vvvI31FFyFyfKQvEtjcwmtd+gYOHBi22mqr7OXoiy66aPYAlenTp4fXXnstu5fv0UcfbfOVDS09mIUHuQgnmSgV0icC2SgN0qdnWkRGpE9PHenTM0X69EyRvjimSF8cr2qIRvqEVah16cuDwl6Ynnpr/PTO1GPX63hIn76ySJ+eaREZkT49daRPzxTp0zNF+uKYIn1xvKohGukTVgHpE8JslArp03NF+vRMkT490yIyIn166kifninSp2daS9K3xBJL6AFEZrRnQHBPXyS0gsORPmEBkD4hTKTPB+asrEifHi/Sp2daREakT08d6dMzRfr0TJG+OKZIXxyvaohG+oRVQPqEMJE+H5hInxtXpM8NbdLESJ8eN9KnZ4r06ZkifXFMkb44XtUQjfQJq4D0CWEifT4wkT43rkifG9qkiZE+PW6kT88U6dMzrSXpsyerF73ZU95Z3ll0FeLGR/rieM01urH0XXTRRaF79+7C7NWRqqXXNVTHkVX3Udi7D+2VGNWysbxTXwmkT8+0iIxIn5460qdnivTpmSJ9cUyRvjhe1RCN9Amr0Fj6rrrqqrDAAgsIs5OqlgnYqy+GDRtWNaeA9OlLgfTpmRaREenTU0f69EyRPj1TpC+OKdIXx6saopE+YRWQPiHMOkuF9M2XvKKpl1sjfclL7DIg0qfHivTpmSJ9eqa1In1PPfVUqJblneuss05oaGjQF4OMLgSQPiFWlncKYdZZKpZ3In0eUzq12M6YMcPjNKoqJ9KnLwfSp2eK9OmZIn1xTK3Th/TFMSs6uq6l76WXXgrrrrtuMsZFvE9uwQUXTHZ+NlARL2dPeoL/N1jqC2k7P+sEptyKOMeU51eWscqwTLcstUx5nmWYN2X4bkz9OV7vP/ogfXGfQkhfHK9qiEb6hFVA+oQwC0yV+osU6Suw2DU+dBku3mu8RFV5+GWYN0iffuohfXqmsRk33HDDYMs7e/XqFburPP6jjz6i0yen6psQ6RPyRfqEMAtMhfQVCJ+howiU4eI9CgjBuQiUYd4gfbmmQlQQ0heFyyUY6XPBWpqkSJ+w1EifEGaBqZC+AuEzdBSBMly8RwEhOBeBMswbpC/XVIgKQvqicLkEV6SvZ8+eLvljkk6ZMoVOXwywKohF+oRFQPqEMAtMhfQVCJ+howiU4eI9CgjBuQiUYd4gfbmmQlQQ0heFyyUY6XPBWpqkSJ+w1EifEGaBqZC+AuEzdBSBMly8RwEhOBeBMswbpC/XVIgKQvqicLkEI30uWEuTFOkTlhrpE8IsMBXSVyB8ho4iUIaL9yggBOciUIZ5g/TlmgpRQUhfFC6X4Ir0LbbYYi75Y5J+/PHHLO+MAVYFsUifsAhInxBmgamQvgLhM3QUgTJcvEcBITgXgTLMG6Qv11SICkL6onC5BCN9LlhLkxTpE5Ya6RPCLDAV0lcgfIaOIlCGi/coIATnIlCGeYP05ZoKUUFIXxQul2CkzwVraZIifcJSI31CmAWmQvoKhM/QUQTKcPEeBYTgXATKMG+QvlxTISoI6YvC5RJs0jdmzJhQLcs711133dDQ0OByriTVE0D6hEyRPiHMAlMhfQXCZ+goAmW4eI8CQnAuAmWYN0hfrqkQFYT0ReFyCUb6XLCWJinSJyw10ieEWWAqpK9A+AwdRaAMF+9RQAjORaAM8wbpyzUVooKQvihcLsFInwvW0iRF+oSlRvqEMAtMhfQVCJ+howiU4eI9CgjBuQiUYd4gfbmmQlQQ0heFyyW4In2LLrqoS/6YpJ988klgeWcMseJjkT5hDZA+IcwCUyF9BcJn6CgCZbh4jwJCcC4CZZg3SF+uqRAVhPRF4XIJRvpcsJYmKdInLDXSJ4RZYCqkr0D4DB1FoAwX71FACM5FoAzzBunLNRWigpC+KFwuwUifC9bSJEX6hKVG+oQwC0yF9BUIn6GjCJTh4j0KCMG5CJRh3iB9uaZCVBDSF4XLJbgifYsssohL/pikn376Kcs7Y4BVQSzSJywC0ieEWWAqpK9A+AwdRaAMF+9RQAjORaAM8wbpyzUVooKQvihcLsFInwvW0iRF+oSlRvqEMAtMhfQVCJ+howiU4eI9CgjBuQiUYd4gfbmmQlQQ0heFyyW4In0LL7ywS/6YpJ999hmdvhhgVRCL9AmLgPQJYRaYCukrED5DRxEow8V7FBCCcxEow7xB+nJNhaggpC8Kl0sw0ueCtTRJkT5hqZE+IcwCUyF9BcJn6CgCZbh4jwJCcC4CZZg3SF+uqRAVhPRF4XIJRvpcsJYmKdInLDXSJ4RZYCqkr0D4DB1FoAwX71FACM5FoAzzBunLNRWigpC+KFwuwRXpW2ihhVzyxySdOnUqyztjgFVBLNInLALSJ4RZYCqkr0D4DB1FoAwX71FACM5FoAzzBunLNRWigpC+KFwuwUifC9bSJEX6hKVG+oQwC0yF9BUIn6GjCJTh4j0KCMG5CJRh3iB9uaZCVBDSF4XLJRjpc8FamqRIn7DUSJ8QZoGpkL4C4TN0FIEyXLxHASE4F4EyzBukL9dUiApC+qJwuQSb9D355JOhWpZ3Dh06NDQ0NLicK0n1BJA+IVOkTwizwFRIX4HwGTqKQBku3qOAEJyLQBnmDdKXaypEBSF9UbhcgpE+F6ylSYr0CUuN9AlhFpgK6SsQPkNHESjDxXsUEIJzESjDvEH6ck2FqCCkLwqXSzDS54K1NEmRPmGpkT4hzAJTIX0FwmfoKAJluHiPAkJwLgJlmDdIX66pEBWE9EXhcgmuSF/q+d3SyUybNi2wvNOlzG5JkT4hWqRPCLPAVEhfgfAZOopAGS7eo4AQnItAGeZN6otiuwBOvaX+rkL6Uld4zvGQvuJrUMtHULfSt+SSS4YpU6aEHj16JKtPp06dko1VGahLly5Jx/zmm2+SjlfEYJ07d04+bGquRczV5FBLMOB3332X9CyZN0lxuw1WhnlThu/G1N9V3377rducrIbEJu49e/YM77//fjUcTovHUJG+lNe2rcGYPn06nb6qnSktH1jdSt8qq6wSPv7449C3b98aKwmHCwEIQAACEIAABCCQksDEiRPDYostFsaNG5dy2KixkL4oXAQ3I1C30kelIQABCEAAAhCAAAQgUC8EkL56qWQx54H0FcOdUSEAAQhAAAIQgAAEIJCbQEX6Flhggdz7eAV+/vnnLO/0guuUF+lzAktaCEAAAhCAAAQgAAEIqAggfSqS5cyD9JWz7pw1BCAAAQhAAAIQgEANEUD6aqhYVXioSF8VFoVDggAEIAABCEAAAhCAQGMCJn1PPPFEqJblneutt15oaGigSDVCAOmrkUJxmBCAAAQgAAEIQAAC5SWA9JW39oozR/oUFMkBAQhAAAIQgAAEIAABRwJInyPcEqRG+kpQZE4RAhCAAAQgAAEIQKC2CVSkr3v37oWfyBdffBFY3ll4GaIOAOmLwkUwBCAAAQhAAAIQgAAE0hNA+tIzr6cRkb56qibnAgEIQAACEIAABCBQlwSQvrosa7KTQvqSoWYgCEAAAhCAAAQgAAEItI9ARfq6devWvgTCvb788kuWdwp5pkiF9KWgzBgQgAAEIAABCEAAAhDoAAGkrwPw2DUgfUwCCEAAAhCAAAQgAAEIVDmBivTNP//8hR/pV199Raev8CrEHQDSF8eLaAhAAAIQgAAEIAABCCQngPQ1Rf7www+HW2+9NTz99NNh7NixYerUqWH48OHhiiuuaLU23377bTj//PPDxRdfHF599dXQo0ePsNVWW4VTTjklrLTSSslrmnJApC8lbcaCAAQgICYwadKk0KdPnza/6No77JtvvhkGDBgQ/vd//zccffTR7U0j2++///1vGDhwYFhrrbXC9ddfL8tLIghAAALVTgDpa1qhESNGhFGjRgW7x7F3795h3LhxbX4XHnTQQeGSSy4Jq622WvjhD38Y3nnnney7ZMEFFwz//ve/Q//+/at9GrT7+JC+dqNjRwhAAALFE/CWvh//+Mfh3nvvDa+99lqohndDGXH7krcv+4aGhrDBBhsUXwSOAAIQgEACAhXpm2+++RKMNvchvv7668KXdz711FPBlrqussoq4ZlnngnrrrvuXKXvwQcfDFtssUXYZJNNsu+1eeedNzvJO++8M/zgBz8IW2+9dbj77rsLZ+t1AEifF1nyQgACEEhAYObMmWHixIlh4YUXDksvvbR0xPHjx4dVV101nHDCCeG4446T5u5Ism+++SYst9xyYfXVV8++uNkgAAEIlIEA0td6lU0A25K+PffcM1x77bVh9OjRmfg13kwGTQrth9QVV1yxLqcT0leXZeWkIAABCHScwM9//vPw+9//PrvvoW/fvh1PKMxgx/aHP/whvPLKK6Ffv37CzKSCAAQgUJ0EkL6OSd8yyyyT3ff32WefhS5dujRJdvrpp4ff/va34corrwy2wqUeN6SvHqvKOUEAAh0m8N1332VLPe67775w0003hZ133nl2Tus0bbrpptnywjvuuCNsu+22cx3PxMTuIbBckydPDp9//nlYYYUVwk477RSOPfbY7F6Cyma/QNovjkOGDMnuL5hnnnlm/zdbgmL3INgXv8XZl1ZryzvffvvtYF9id911V3jrrbeCLQeyTuBmm20WzjjjjLDQQgvN9ZjtZvfFF188+8XTbpBvvnXq1CljcN1114Vf/epX4fbbb8/Oa/Dgwdm4Nk7jzf7Zjtme+HbiiSeGq6++Onz44YdZJ9GOx26kty/ikSNHhn/84x/h448/zhiY2A0dOnSO8Y39RhttFP7nf/4nu9+QDQIQgEC9E7DP/scffzz7PC96s+WdCyywQBg0aFCLh2Kf0Sm3tjp99v1kD22xFSLPP//8HIdm3/O77rpr9p180kknpTz0ZGMhfclQMxAEIFBrBN59992wxhprBBOg5557Liy77LLZKdhyRxOXn/3sZ1knrK3NJOiss84Km2++eSZ7ls++uJ944olsOcpjjz3WRO5+97vfhVNPPTWTKRMi2z744IPsWEya/vOf/2Q3rdvWkvTZl5vdpG7iZ5JoD2KxF+nafXkPPPBAeOmll2bv39qx2/0R9rCUQw89NFxwwQVzhJn0meDZWLa09Hvf+152jCaBJqP2NDX7cq1sFenbcccdsy9cE2U7l7/97W9ZyKOPPhoOPvjgYMtVTXpNCC2X5X799dez/2282QWHievaa6+dyTcbBCAAgXongPS1XuG2pM8e2GLf4fZjoX3fNN/sVgH7offII4/Mfmysxw3pq8eqck4QgICMwG233RZ22GGHTNisU2eyZvcCmFQ9+eSTuX5xNfmyrlnlpvHKwdmviccff3y46qqrwj777DP7mO0JlRtvvHEYM2ZMNqaNbTeZW6fv73//exg2bNjs2Jakzx5hbXJ13nnnhaOOOqoJi2nTpmXH3PxYmgOzR1r/9Kc/DX/961/DgQce2KL02b887LDDwp/+9KfQuXPnLObSSy/N4g855JBw4YUXzt6vIn12XtZ9tF+IbbOnpu2xxx6ZwG2zzTbhmmuuCV27ds3+25lnnhl+/etfh3POOSf84he/mOMYTEpfeOGFUDknWdFJBAEIQKAKCVSb9K2//vod+tHNfjyM2ewHwMoPns33Q/raJon0tc2ICAhAoOQETHTxMD4AAAm1SURBVGz+8pe/BOvAWWfq/fffD/YFY0sTO7LZEsaePXtmT6K8/PLLm6Syh7PY8kaTIZMo6yzuu+++2ZMrG28tSV9FVC+66KKse9aeze5tsA6lCeT2228/Rwr7sjZxe++997IlM5XNhNUen21dSev2VbaK9DW/gd66nvb0Nevw2dJX64RWNntdhP1zS+dtMdttt10mkG+88UZYfvnl23Oa7AMBCECgZghUpK+tH+1SnNCMGTNCR6WvpR8U53bstvLFvjNb2tqSPpZ3hoD0pfjLYAwIQKCmCdjSSFuG+eKLL2bnYcsdbdlj3s3uDzSpsxfGWmfK7l0z2alsrT0m2m4otxfN2mYPUrEll43v/7N/35L0WX4TUltuafcNWn5b0hIjqdaps5fXPvLII1nXsflm0mdS2tL9fvZkTesmmrhWtor02bE1v5/Q4r/44ovsPr7Gmwmk3dNo9/u19JTOvffeO+sM2jHYsbBBAAIQqGcC9SZ9ylq1JX02Fg9ysasRNghAAAIQmCsBezH5ueeemwmLLdds3N1qC90RRxwR/vznP2fdKLtfzR6oUrkR3zp49kCUhx56aI401lFcaaWVMiGypaB2g3nzrbUHuVj3y16zYF2/ikzZQ1nsQSl5un+2LNTua7jnnnvC97///Ralr7Xjbny/YXPpa+krp6X4yn6VB8a0xMcermMPfbFXS9h9i2wQgAAE6pkA0td6dfNI39xe2WC3Udj3DK9sqOe/IM4NAhCAQBsE7KZv61QtssgiYcqUKeGAAw7InsaZZ7Nu21JLLZU94cyextn4Bee2NNIEsCV5Mjmy+/hs+aItZ7Fuo3W0mstNWy9ntyeN2oNTTN7++Mc/ZsJq7ymy++jmtp1yyinZkzFbi52bjKWSvkr30Gqy2GKL5SkHMRCAAARqlkBF+ho/1bmok7El+R1d3qk89jzSx8vZ6fQp5xy5IACBOiNgyxHtKZX2NEmTLuv42esJbrzxxrDLLru0ebb24JcNNtgg2+/ss89uEn/DDTeE3XffvUXps6eC2rvo7J6H/fffP3s6ph2H5Wv8hd+W9DUe0JZq2kNo7NdOWxY5t63yMBh7HYLJX/OtGqTPhNkeIGMiywYBCECg3gkgfU0rbD/IVn6AtR///vWvf2W3QlRuSRg4cGD4zW9+02Sngw46KNvHHsZmT7e2p3Tbk6Jt9Y59v/bv379upxH39NVtaTkxCEBAQWCvvfbKnphZeYqlde6sa2f3mz377LPB7keb22ZfKHYfgf0iaq9mqDzl0t6dZ50qu++teafPXg9h76arvCPPHphSeU3EL3/5y+yplpWtJemz+wbt3j/bv/Fmorrbbru1+OCY5ufwySefhF69emVfiiaA1SZ9tnzVzi+PwCrmATkgAAEIFE2gIn2VJxwXeTz2HVh0p8/uk99vv/1axdDSKhq7n95ut7B71l999dVM9uy+cVvdYsJYzxvSV8/V5dwgAIEOEag8SMXuHbMXt1Y2eyG7yZBJ2/333z9b5FobzF74avvbw0a23HLL7Omf9ouk3d9n/77xF5O9u26dddYJ9kJ3Ww5q76GzzZZpWpfO/p091MTy2NaS9FmX0DqL9vAW+6XTlofaO/pM3qxDZx2/St65AbJ7HOydgLYMtfnLgIvu9F122WXZMlv7hda6pWwQgAAE6p0A0lfvFfY9P6TPly/ZIQCBGiVgkrTmmmtmD26xzlvze8YqD2c57bTT5lg+0vyUp0+fnnXqTPCs81d5DYG9g84evd1Y+g4//PDs6aD2ugT77403e0eRHZP9MmnHZDLXkvSNGzcu2OsaHn744ex1Bvaoaus2mjTaC99XWWWVXFWx+/msk2bHbeLbeCta+kx6raNpr3WohseX5wJKEAQgAIEOEED6OgCPXXllA3MAAhCAAARaJmDvYVp55ZWzVz1Yd7NaNlsSa8dlL7a3J5SyQQACECgDAZM+W+1RLcs77X71hoaGMqCvi3Ok01cXZeQkIAABCPgQsAe+2PvwxowZky07rYbNXmZvTyOdMGFC9oJ4NghAAAJlIID0laHKfueI9PmxJTMEIACBmidgD3g+66yzwuqrr569QqLoze5ttKWv9gCByn2NRR8T40MAAhBIQQDpS0G5fsdA+uq3tpwZBCAAAQhAAAIQgECdEKhIX5cuXQo/I/sBjuWdhZch6gCQvihcBEMAAhCAAAQgAAEIQCA9AaQvPfN6GhHpq6dqci4QgAAEIAABCEAAAnVJAOmry7ImOymkLxlqBoIABCAAAQhAAAIQgED7CFSkr3Pnzu1LINzLXnLO8k4h0ASpkL4EkBkCAhCAAAQgAAEIQAACHSGA9HWEHvsifcwBCEAAAhCAAAQgAAEIVDkBpK/KC1Tlh4f0VXmBODwIQAACEIAABCAAAQhUpK9Tp06Fw7DX+bC8s/AyRB0A0heFi2AIQAACEIAABCAAAQikJ4D0pWdeTyMiffVUTc4FAhCAAAQgAAEIQKAuCVSkr1pOjk5ftVQi33Egffk4EQUBCEAAAhCAAAQgAIHCCCB9haGvi4GRvrooIycBAQhAAAIQgAAEIFDPBJC+eq6u/7khff6MGQECEIAABCAAAQhAAAIdInDwwQeHF154oUM5lDuvvvrq4eKLL1amJJcjAaTPES6pIQABCEAAAhCAAAQgAAEIFE0A6Su6AowPAQhAAAIQgAAEIAABCEDAkQDS5wiX1BCAAAQgAAEIQAACEIAABIomgPQVXQHGhwAEIAABCEAAAhCAAAQg4EgA6XOES2oIQAACEIAABCAAAQhAAAJFE0D6iq4A40MAAhCAAAQgAAEIQAACEHAkgPQ5wiU1BCAAAQhAAAIQgAAEIACBogkgfUVXgPEhAAEIQAACEIAABCAAAQg4EkD6HOGSGgIQgAAEIAABCEAAAhCAQNEEkL6iK8D4EIAABCAAAQhAAAIQgAAEHAkgfY5wSQ0BCEAAAhCAAAQgAAEIQKBoAkhf0RVgfAhAAAIQgAAEIAABCEAAAo4EkD5HuKSGAAQgAAEIQAACEIAABCBQNAGkr+gKMD4EIAABCEAAAhCAAAQgAAFHAkifI1xSQwACEIAABCAAAQhAAAIQKJoA0ld0BRgfAhCAAAQgAAEIQAACEICAIwGkzxEuqSEAAQhAAAIQgAAEIAABCBRNAOkrugKMDwEIQAACEIAABCAAAQhAwJEA0ucIl9QQgAAEIAABCEAAAhCAAASKJoD0FV0BxocABCAAAQhAAAIQgAAEIOBIoJNjblJDAAIQgAAEIAABCEAAAhCAQMEEkL6CC8DwEIAABCAAAQhAAAIQgAAEPAn8f8l4F8XSPGC8AAAAAElFTkSuQmCC\" width=\"639.9833333333333\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#and plot one of them\n",
    "intensities[1].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e4cc1fbe",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:hyperspy.misc.signal_tools:Axis calibration mismatch detected along axis 0. The calibration of signal 0 along this axis will be applied to all signals after stacking.\n",
      "WARNING:hyperspy.misc.signal_tools:Axis calibration mismatch detected along axis 1. The calibration of signal 0 along this axis will be applied to all signals after stacking.\n"
     ]
    }
   ],
   "source": [
    "#mask only data where intensity > 10\n",
    "mask = intensities[1].data>10\n",
    "area_SI = SI.deepcopy()\n",
    "mask = hs.signals.Signal2D(data = mask)\n",
    "area_SI = area_SI * mask.T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "836fd7c4",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"639.9833333333333\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
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\" width=\"639.9833333333333\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plot masked data\n",
    "area_SI.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "91af77b3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"639.9833333333333\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plot EDX spectra from only masked region\n",
    "area_SI_sum = area_SI.sum()\n",
    "area_SI_sum.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "95d93cf9",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.10 - EPSIC [DLS Conda]",
   "language": "python",
   "name": "conda-env-DLS_Conda-epsic3.10-kernel.json"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}