StatisticalAnalysis_forCG.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/cz/ysr8lt_90z37zyb25ds1sjcr0000gn/T/ipykernel_73496/2615188548.py:13: DeprecationWarning: Importing display from IPython.core.display is deprecated since IPython 7.14, please import from IPython display\n",
      "  from IPython.core.display import display, HTML\n"
     ]
    }
   ],
   "source": [
    "from pathlib import Path\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import pyhf\n",
    "import pyhf.readxml\n",
    "from pyhf.contrib.viz import brazil\n",
    "\n",
    "pyhf.set_backend(\"numpy\")\n",
    "\n",
    "import base64\n",
    "from IPython.core.display import display, HTML\n",
    "from ipywidgets import interact, fixed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "workspace = pyhf.Workspace(json.load(open('FitTest.json')))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'config': {'parameters': [{'auxdata': [1.0],\n",
       "    'bounds': [[0.5, 1.5]],\n",
       "    'fixed': True,\n",
       "    'inits': [1.0],\n",
       "    'name': 'lumi',\n",
       "    'sigmas': [0.1]},\n",
       "   {'bounds': [[-2.0, 4.0]],\n",
       "    'fixed': False,\n",
       "    'inits': [1.0],\n",
       "    'name': 'SigXsecOverSM'}],\n",
       "  'poi': 'SigXsecOverSM'},\n",
       " 'name': 'FitTest'}"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdf = workspace.model()\n",
    "data = workspace.data(pdf)\n",
    "# what is the measurement?\n",
    "workspace.get_measurement()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The p.d.f is build from one data-drived \"qcd\" (or multijet) estimate and two Monte Carlo-based background samples and is parametrized by five parameters: One parameter of interest `SigXsecOverSM` and four *nuisance parameters* that affect the shape of the two Monte Carlo background estimates (both weight-only and shape systematics)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Samples:\n",
      " ['Bkg1', 'Signal', 'Zajj_EWK', 'Zajj_QCD', 'ccjja', 'ggH', 'ttH_hadronic', 'ttH_semileptonic']\n",
      "Parameters:\n",
      " ['SigXsecOverSM', 'lumi', 'staterror_CR', 'staterror_SR']\n"
     ]
    }
   ],
   "source": [
    "print(f'Samples:\\n {pdf.config.samples}')\n",
    "print(f'Parameters:\\n {pdf.config.parameters}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "nominal = pdf.config.suggested_init()\n",
    "background_only = pdf.config.suggested_init()\n",
    "background_only[pdf.config.poi_index] = 0.0\n",
    "best_fit = pyhf.infer.mle.fit(data, pdf)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fitting\n",
    "\n",
    "We can now fit the statistical model to the observed data. The best fit of the signal strength is close to the background-only hypothesis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "\n",
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       "    var size = msg['size'];\n",
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       "\n",
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       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.canvas_div.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    // from https://stackoverflow.com/q/1114465\n",
       "    var boundingRect = this.canvas.getBoundingClientRect();\n",
       "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
       "    var y = (event.clientY - boundingRect.top) * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img 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\" width=\"1800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, (ax1, ax2, ax3) = plt.subplots(1, 3, sharey=True, sharex=True)\n",
    "fig.set_size_inches(18, 4)\n",
    "ax1.set_ylim(0, 1.5 * np.max(workspace.data(pdf, include_auxdata=False)))\n",
    "ax1.set_title('nominal signal + background µ = 1')\n",
    "\n",
    "plot(ax=ax1, **{k: nominal[v] for k, v in par_name_dict.items()})\n",
    "\n",
    "ax2.set_title('nominal background-only µ = 0')\n",
    "plot(ax=ax2, **{k: background_only[v] for k, v in par_name_dict.items()})\n",
    "\n",
    "ax3.set_title(f'best fit µ = {best_fit[pdf.config.poi_index]:.3g}')\n",
    "plot(ax=ax3, **{k: best_fit[v] for k, v in par_name_dict.items()});"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Interval Estimation (Computing Upper Limits on µ)\n",
    "\n",
    "A common task in the statistical evaluation of High Energy Physics data analyses is the estimation of confidence intervals of parameters of interest. The general strategy is to perform a series of hypothesis tests and then *invert* the tests in order to obtain an interval with the correct coverage properties.\n",
    "\n",
    "A common figure of merit is a modified p-value, CLs. Here we compute an upper limit based on a series of CLs tests."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "bounds = [*pdf.config.suggested_bounds()]\n",
    "bounds[pdf.config.poi_index] = [0.0, 4.0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "mu_tests = np.linspace(0.0, 4.0, 40)\n",
    "(\n",
    "    obs_limit,\n",
    "    exp_limits,\n",
    "    (poi_tests, tests),\n",
    ") = pyhf.infer.intervals.upper_limits.upper_limit(\n",
    "    data, pdf, mu_tests, level=0.05, return_results=True, test_stat=\"qtilde\", par_bounds=bounds\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute('tabindex', '0');\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;' +\n",
       "            'z-index: 2;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box;' +\n",
       "            'pointer-events: none;' +\n",
       "            'position: relative;' +\n",
       "            'z-index: 0;'\n",
       "    );\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box;' +\n",
       "            'left: 0;' +\n",
       "            'pointer-events: none;' +\n",
       "            'position: absolute;' +\n",
       "            'top: 0;' +\n",
       "            'z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            /* This rescales the canvas back to display pixels, so that it\n",
       "             * appears correct on HiDPI screens. */\n",
       "            canvas.style.width = width + 'px';\n",
       "            canvas.style.height = height + 'px';\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        /* User Agent sniffing is bad, but WebKit is busted:\n",
       "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
       "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
       "         * The worst that happens here is that they get an extra browser\n",
       "         * selection when dragging, if this check fails to catch them.\n",
       "         */\n",
       "        var UA = navigator.userAgent;\n",
       "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
       "        if(isWebKit) {\n",
       "            return function (event) {\n",
       "                /* This prevents the web browser from automatically changing to\n",
       "                 * the text insertion cursor when the button is pressed. We\n",
       "                 * want to control all of the cursor setting manually through\n",
       "                 * the 'cursor' event from matplotlib */\n",
       "                event.preventDefault()\n",
       "                return fig.mouse_event(event, name);\n",
       "            };\n",
       "        } else {\n",
       "            return function (event) {\n",
       "                return fig.mouse_event(event, name);\n",
       "            };\n",
       "        }\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    canvas_div.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    canvas_div.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.canvas_div.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    // from https://stackoverflow.com/q/1114465\n",
       "    var boundingRect = this.canvas.getBoundingClientRect();\n",
       "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
       "    var y = (event.clientY - boundingRect.top) * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"700\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "fig.set_size_inches(7, 5)\n",
    "\n",
    "ax.set_title(\"Hypothesis Tests\")\n",
    "artists = brazil.plot_results(mu_tests, tests, test_size=0.05, ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Observed upper limit: 3.856\n",
      "\n",
      "Expected Limit(-2 σ): 0.757\n",
      "Expected Limit(-1 σ): 1.016\n",
      "Expected Limit: 1.421\n",
      "Expected Limit(1 σ): 2.000\n",
      "Expected Limit(2 σ): 2.716\n"
     ]
    }
   ],
   "source": [
    "print(f\"Observed upper limit: {obs_limit:.3f}\\n\")\n",
    "for i, n_sigma in enumerate(np.arange(-2, 3)):\n",
    "    print(\n",
    "        \"Expected Limit{}: {:.3f}\".format(\n",
    "            \"\" if n_sigma == 0 else f\"({n_sigma} σ)\", exp_limits[i]\n",
    "        )\n",
    "    )"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.6"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {
     "00734572c9b14d4bb05151197307ec05": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "0119a8a68a6c43919c0a9beeffe5e61f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "01e50bc763ed4f94af8f7601237f5788": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "02287564b426420a8937b34cc0c109a2": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_9c2066ef6f9d434c8c64580d114587e6",
       "outputs": [
        {
         "data": {
          "image/png": 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\n",
          "text/plain": "<Figure size 432x288 with 1 Axes>"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ]
      }
     },
     "0257c302e4944299bbd2e0da679bd840": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "02ac8de7054048b2bbf9197d69c9b5bd": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "IntSliderModel",
      "state": {
       "description": "mc1_weight_var1",
       "layout": "IPY_MODEL_af501f32925b4ec7b3ccaf7bf2db3429",
       "max": 5,
       "min": -5,
       "style": "IPY_MODEL_63acd75c082b44b091f13e37eec44ec8"
      }
     },
     "035df264797f42a8842b6cc2e3709423": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "VBoxModel",
      "state": {
       "_dom_classes": [
        "widget-interact"
       ],
       "children": [
        "IPY_MODEL_4e50593f384745e18426450c6fd936fd",
        "IPY_MODEL_43ca77bdfa34414e948229a09a2c556d",
        "IPY_MODEL_8e509a8016894a93a89cd2ffcc3b54fe",
        "IPY_MODEL_f7a468370d6a414a9f72493adae47927",
        "IPY_MODEL_7611ddd19e2043a69c6ee991792f37fe",
        "IPY_MODEL_37a404df72f24f2c86928ade8fc26fe0"
       ],
       "layout": "IPY_MODEL_b029a789d30145408162dda832c1b8a1"
      }
     },
     "036d67f8ba724f87a4fe6f025de79bec": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "0394bef00682412284aea20f10601cdd": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "03ec3889ec1c483abec6dcc8562a5d43": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "048a5d709ba84138a32c889441fdcc80": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_fb2ea65a42124f89999c4cc42c7ff596",
       "outputs": [
        {
         "data": {
          "image/png": 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       "outputs": [
        {
         "data": {
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      }
     },
     "11a2f3da851b4ba9b8e2056b4eddac23": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "11adecc1eea040f2bdbf60c2792ce783": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "1236bfc27c3f448ebf7542762a89d8ba": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "128e733d0f7a42db87290bdea538362f": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_ef3efa606e4049a9b26ba2023bc8c038",
       "outputs": [
        {
         "data": {
          "image/png": 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      "model_name": "LayoutModel",
      "state": {}
     },
     "1c4f9a9155f447debf935ca671cd04e5": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "1cce1d6817be435a8f0497ba55f3ddb7": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "1ce6a9beb61343648222ff4288193562": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "1d4d01e6953443f3906dfcac001a036b": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_9e1308c73fce44ebb6115cb22740cd80",
       "outputs": [
        {
         "data": {
          "image/png": 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\n",
          "text/plain": "<Figure size 720x360 with 1 Axes>"
         },
         "metadata": {
          "needs_background": "light"
         },
         "output_type": "display_data"
        }
       ]
      }
     },
     "1d785d0aa60d4d2fb523d513196574ea": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "IntSliderModel",
      "state": {
       "description": "SigXsecOverSM",
       "layout": "IPY_MODEL_1c4f9a9155f447debf935ca671cd04e5",
       "max": 10,
       "style": "IPY_MODEL_bbc2ed6abbaa43649b976e824f78230d",
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      }
     },
     "1d7a1943ffeb409f915218a17372c876": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "1dcb9d23d8ae49958bc7dacd5e40c2a9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
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      }
     },
     "1e92efacfbb64ab4a743a5029acb2097": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "IntSliderModel",
      "state": {
       "description": "mc2_shape_conv",
       "layout": "IPY_MODEL_d0ebb7a95b2e4e90bc12bb104e168098",
       "max": 5,
       "min": -5,
       "style": "IPY_MODEL_d771b11888b24d89a05b2341566d3d17"
      }
     },
     "1ec2b3e4557c4736b95459febd57c2b8": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "1ed4ca66f4e84483b04571d19aa33bcd": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "IntSliderModel",
      "state": {
       "description": "mc1_shape_conv",
       "layout": "IPY_MODEL_b6e330c2f1a94ce0b1f50af636732edb",
       "max": 5,
       "min": -5,
       "style": "IPY_MODEL_0e749886a1394ded9fc70edfd555225d"
      }
     },
     "1fb94012b1b1429e90ef43eca09de1fe": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "206d520a53a74b808d04650746b31e19": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "20ee9667b2124585b3db54b301f976aa": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "213e31b65836408b9a2755096627b60d": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_490ad5047c0a4c8a8f108e969ff6e79e",
       "outputs": [
        {
         "data": {
          "image/png": 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\n",
          "text/plain": "<Figure size 432x288 with 1 Axes>"
         },
         "metadata": {},
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        {
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\n",
          "text/plain": "<Figure size 720x360 with 1 Axes>"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ]
      }
     },
     "2ead0ec39df249ba94e2cf3cf299b0d1": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "2ec94cf60fcc4967b89a5ec9cfbe9d08": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "IntSliderModel",
      "state": {
       "description": "mc1_weight_var1",
       "layout": "IPY_MODEL_57e85869b01442e29e02bb809bd60aff",
       "max": 5,
       "min": -5,
       "style": "IPY_MODEL_c0be84354368415ba32520d8ccebd0c5"
      }
     },
     "2fee4766c9ec42d9a54dbc830da3b015": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "301ed8eefd6f42ba9d8aea9b73150cc3": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "304e2ba55304457fa4ddb38730b4e773": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_3714c80fb3864acb96e0de2eaf6041c2",
       "outputs": [
        {
         "data": {
          "image/png": 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\n",
          "text/plain": "<Figure size 720x360 with 1 Axes>"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ]
      }
     },
     "38c49877fde5420cbfa6f60a739c2c92": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "IntSliderModel",
      "state": {
       "description": "mc2_shape_conv",
       "layout": "IPY_MODEL_1a37fd50f9ca402bac9904add7a3a48b",
       "max": 5,
       "min": -5,
       "style": "IPY_MODEL_0394bef00682412284aea20f10601cdd"
      }
     },
     "3947ca77bf664c81a81ed49083cb8e5f": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "398ef30934fd4fb4b418951b9657e0ef": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "3b3f93ba8c2f471eaddaed08b29195e6": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "3b5571ab8e3c4a52b350c67d32f7fa46": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "3b91806b944b4e82a605cdebbcd7887b": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_e42c063910d64995bb9a11fde034af61",
       "outputs": [
        {
         "data": {
          "image/png": 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       "outputs": [
        {
         "data": {
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\n",
          "text/plain": "<Figure size 432x288 with 1 Axes>"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ]
      }
     },
     "5104e65ea9784a58b846fa426e3734b5": {
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      "model_module_version": "1.4.0",
      "model_name": "IntSliderModel",
      "state": {
       "description": "mc2_weight_var1",
       "layout": "IPY_MODEL_fc6affd680b94fd48e7440dcef8cc4fd",
       "max": 5,
       "min": -5,
       "style": "IPY_MODEL_86df9cdf283b41e8bad874b3057a92d3"
      }
     },
     "5111dd2107c444e78707e22a04aa640c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "5233d42254a9464295681ea859284751": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "IntSliderModel",
      "state": {
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       "layout": "IPY_MODEL_8e1754f0bd2f41bb81bec6449d35edca",
       "max": 5,
       "min": -5,
       "style": "IPY_MODEL_910254b4cfa44dad9a81268677cfe99e"
      }
     },
     "52b0c6e2e4464d5589059e4866ee5da5": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "VBoxModel",
      "state": {
       "_dom_classes": [
        "widget-interact"
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      "model_name": "IntSliderModel",
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     "63043379d0ce48a5820e6ff37f38c97f": {
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     "634599e8dead4727b7a953c97ffba925": {
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      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_8d404d9c0b104cf4b6c6c786b01c02da",
       "outputs": [
        {
         "data": {
          "image/png": 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\n",
          "text/plain": "<Figure size 432x288 with 1 Axes>"
         },
         "metadata": {},
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     "635bbd3044f846e89943a3a9df39e0e2": {
      "model_module": "@jupyter-widgets/base",
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      "model_name": "LayoutModel",
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     "63acd75c082b44b091f13e37eec44ec8": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "SliderStyleModel",
      "state": {
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      }
     },
     "63af36ecb2ed462bafea39a2a82e426e": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "63ef3083daca434dbc676113321e7bbb": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
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     },
     "646dd1095c094e018d1abb5d2b20494c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "SliderStyleModel",
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      }
     },
     "64c30f7d101341eb9a09480a671e808c": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "SliderStyleModel",
      "state": {
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      }
     },
     "65302216142c4c16bb2125b8cb54ae6b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "SliderStyleModel",
      "state": {
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     "67103f9ba3174395b9c2e35104bfcd40": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_01e50bc763ed4f94af8f7601237f5788",
       "outputs": [
        {
         "data": {
          "image/png": 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\n",
          "text/plain": "<Figure size 432x288 with 1 Axes>"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ]
      }
     },
     "67532340a66f4ac9bb375ed7a9c7b184": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_985180a860ad4d8dab3c4c0eb05ba202",
       "outputs": [
        {
         "data": {
          "image/png": 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5aa/W3nhPzfVYIbaOYWRs+bEmCwCQafVKJMR1021/Kkla8fhdNbeOWXFpr2667U81HPP5FlMQNG7pgaTXb1VGxirBrTIyVukTwmAkCwCQaXFLJMTVyLRdWtvlJL11TDNtqtxKCFloOq2yRxiAeIrForq6uua0LVQ0OI6403YhFsjHlfQeglzZmA6mC9FUGtkj7EKXaLPXINA84pZIaEScabs0t8tJeuuYlZeurzlFmsVNlVuJedXGqmnZvHmz79mzJ+1uoAnkcrmaew0ODAxoeHh49v78MCaVP/lWqrkTstoDdbKyKa3NpBtdQzXy8C2Sav2NNA088EIifVou89dkSeWRsYUW3jez4e0fD/4aZrbX3TfXO47pQjSVuAtg07pEG0DrSHpdVJoaubIRyWG6EE2lv7+/5kjW/AWwSV2NBKB99Vx3R83Rn8Wui0pbs2yq3EoIWWgqcfcIixvG0D5enJzUI8eP6cjMjN7Z0aH71vfq5u7utLvVluLWokprWrEi6XVRaD9MF6Kp5PN5DQ0NaWBgQGamgYGB2XVW1ZK+GgnN6faHOnT7Qx366G+d0gNvHNHhmRm5pMMzM3rgjSP66G+dOm8fxBcnJ7Xl5wd1zYGfacvPD+rFycl0Oo9FSfrq44uvuV4bP/MNDTzwgjZ+5hsELDSEkSw0nXw+X/fKnhBXI6F5je8cl5+du4DZz7rGd46r59qe2bYXJyf1xfEjOh1dEHR4ZkZfHD8iSYx6ZVhlZGz++RsZGdF/+fSn9e9f+O/l8xcVIwWWCyELLWX+VYOXfOUSXaNrJEnbZ7Zr+47taXQLKZs+MR2r/ZHjx2b/QFecdtcjx48RspoA5w9ZQ8gC0PI613XWDFqd6zrn3D8yU7vkw0LtCCvu2q3KdjmHH76l5uOHZ96aPQZYTqzJAtDy+rb2yVbZnDZbZerb2jen7Z0dtT93LtSObGmlkgtoDbxzoClQPBRLUVl3Nb5zXNMnptW5rlN9W/vmrMeSpPvW985Z0yNJa8x03/reZe0vFqfVSi6g+RGyALSFnmt7zgtV81XW7VDqIay4U3d/+9dfaOh5KbmArCFkAUCVm7u7CVUZsZh1VBTcRJYQsgCgzSVdqJXCr0AZIQsA2ljStcGoNQacQ8gC0PbmV31fyLN/3HqlHJKuLUWtKuAcQhYAtLGka4M1+nynXtvNQnW0LOpkAcAitMoeh0nXBmvk+U69tltvfO9reuvkMUmut04e0xvf+5pOvbZ7Ua8NZA0jWQiuVCotuIcg9a/QjNJed5TkwvKkaoNd/cl/lyT9yb4OFV6Y0VRVgf2uTulPbunQ1ZvKx+h0+dvEy0/NqWklST5zRhMvP8VoFloCIQtBlUolFQoFTU1NSSpv2FooFCSJzZrRtNJcd5R0wKtXGyzuerU393+zfOMK6aL/tFtnqqYAL7ruDg1ecb0GT8/9mbdOHq/5XAu1A82GkIWgBgcHZwNWxdTUlAYHBwlZaFpp7nEYIuBdqDbYvn8bjfUcuarbcWtVrbx0fTRVeH470AoIWQhqdLT2G/RC7UCWVUZ1Ou6vveF0x7rO2WOqr0RMcnpvuQNe7vQ3gzyvxDY4aH2ELATV39+vkZGRmu3zTbwyUXdvOSAL+rb2aezJMfnZcyNKtTaclpKf3ntnR4cO1whUzbiJNdvgoNU1328lmkqxWJyzJkuSurq6VCwW5xw38crEnD9a0yemNfbkmCQRtJA5cTeclpKf3mu1TazZBgetjJCFIKqvGlz7B2s1vXN69o/R2q1rtX1mu7bv2D57zPjO8TmjApLkZ13jO8cJWcikehtOV6YND2+rPY13eGYm9qJy6dz0I5tYA82j7m+4mV0u6SlJfZJc0pC7P2ZmayU9o/J6x2FJt7v7L83MJD0m6WOSpiRtc/cfhek+mkG9P0aSaq5vqW6Pu/h207vOn4YE0tS5rvb6rc51nYt+zribWLOHIJCuOB+jZiTd7+4/MrNLJO01s5ckbZO0y923m9mDkh6U9ICkmyRdEX39hqTHo+/AgkL8IQKyoJH1W0mqtxYs9ija/nM3qc4ONKZuxXd3P1wZiXL3N1X+ldsg6VZJO6LDdki6Lbp9q6SnvOwHknrM7LLEe46W0re1T7bK5rQtxx8iILSea3u0YduG2Q8Mnes6tWHbhpqjuxOvTOjA/Qf06rZXdeD+A5p4ZWLRr3uhtWCLQXV2oHENrckys5yk90v6oaQ+dz8cPXRE5elEqRzAXq/6sUNR22Gh6SVdoX12GvAyqXTzag3uOqPRSVd/t6m4ZbXyl52U/u1koq8JLLc4U+b1Lv5oZP2WVH8tWKP1r6jODjQu9m+tmV0saaekz7n7yfLSqzJ3dzPzBX+49vMVJBWk2pfzo/3kN61SftOqtLsBpCLpiz/qTcE3Wv+K6uxA42KFLDPrVDlgldz921HzuJld5u6Ho+nAo1H7mKTLq358Y9Q2h7sPSRqSpM2bNzcU0JANF6prFfdTctJYII9mVe/ij0YlvRaM6uxA4+JcXWiSnpC0393/rOqh5yXdKWl79P25qvZ7zOxplRe8T1ZNKyKDFjMF2C51rRoJiwQ3LEXSF380Ussr1vNRnR1oWJyRrA9J+rSkfWb2k6jtj1QOV8+a2d2SRiTdHj32XZXLNxxUuYTDXYn2GKmqhI7cM2/WnNpY+cyY9l2W/TVUIUbaGEXDUiQ18jTn/8PLJN1zkaSLooZzaxxzDfaP6uxA4+qGLHf/B0m2wMNbahzvkj67xH5hGS0mcIxO1p7hXagdQG1xL/6IG85D7jVIdXagMVR8x6L0d5tGagSq/u6F8jiAerj4A2gthCwsSnHLahVeOK2pqiUkXZ3ldgDJa7TkAoD0EbKwKJVP2+dNbfApvC7WbqFa3Om94TWfCtwTAEkjZGHRmNoAlk/ItVYAwqi7rQ4AAAAaR8gCAAAIgOlCnKe07yxrrZoIa7yyiYXqAAhZmKO07+ycqwZHJl2FF05LEkELAIAGELIwx+CuM3PKMkjS1HS5nZC1vNLa/xEAkAzWZGEOKrkDAJAMRrJaWNyNn/dV3aaSO5AMSi4AIGS1sMVMN1HJHVhYI79TuXDdANAkCFltIu4Vg1Ryb11Jr/HiakUAuDBCVkaVSiUNDg5qdHRU/f39KhaLyufzi3uuBq8YpJI72g0XGQAIgZCVQaVSSYVCQVNTU5KkkZERFQoFSVI+n5+z1mrilQmN7xzX9Ilpda7rVN/WPvVc2yPp3ForrhhE2tKq5UV4ApAmQlYGDQ4OzgasiqmpKQ0ODiqfz8/+4aiMUE1HAWr6xLTe+MYhbT9+fE544opBhJBmgCE8AWgGhKwMGh2t/QdkfnvcESquGASSwRWDABpBnawM6u+vPWUyvz3uCFVxy2p1dc49hisGAQAIi5CVQcViUV1dXXPaurq6VCwW57QtNBI1vz2/aZWGblmjgW6TSRroNg3dsob1WAAABMR0YQZVriKsd3VhIzWtuGIQAIDlRcjKqHw+X7dkAzWtAADILkJWk2OEClg6FrQDCIGQBSAzKM0AoJUQsjJkMRs6AwCAbCJkZQif4oFkMQ0IIE2UcAAAAAiAkAUAABAAIQsAACAA1mQBaDqstQLQDBjJAgAACICQBQAAEAAhCwAAIADWZC2HL3en3QMAALDMGMkCAAAIgJEsAMHFvRpweM2nAvcEAJYPI1nLrLTvrHKPvqkVXzmp3KNvqrTvbNpdAgAAATCStYxK+86q8MJpTU2X749MugovnJYk5TetSrFnAAAgaYxkLaPBXWdmA1bF1HS5HQAAtBZGspaiwasGRye9oXag3VDJHUArYSRrGfV3W0PtAACgeTGStYyKW1bPWZMlSV2d5Xag2TDqBAAXxkjWMspvWqWhW9ZooNtkkga6TUO3rGHROwAALYiQVUepVFIul9OKFSuUy+VUKpWW9Hz5Tas0/LlL9PaXLtXw5y4hYAEA0KLqThea2dcl3SzpqLu/N2pbK+kZSTlJw5Jud/dfmplJekzSxyRNSdrm7j8K0/XwSqWSCoWCpqamJEkjIyMqFAqSpHw+P/fYfWc1uOuMRidd/d2m4pbVBCg0JaYBASAZcUaynpR047y2ByXtcvcrJO2K7kvSTZKuiL4Kkh5PppvpGBwcnA1YFVNTUxocHJzTVql/NTLpcp2rf0WhUQAA2lfdkOXuL0t6Y17zrZJ2RLd3SLqtqv0pL/uBpB4zuyypzi6bL3dLX+7W6MhIzYdHR0bmlG+g/hUAAJhvsWuy+tz9cHT7iKS+6PYGSa9XHXcoajuPmRXMbI+Z7Tl27NgiuxFW3JIL1L8CAADzLXnhu7u7pIbThLsPuftmd9/c29u71G4EUdyyWl2dc9tqlVyg/hUAAJhvsSFrvDINGH0/GrWPSbq86riNUVtTiltyIW4YAwAA7WOxxUifl3SnpO3R9+eq2u8xs6cl/YakyappxaaU37Sq7lWClce5uhAAAFTEKeHwV5I+Imm9mR2S9CWVw9WzZna3pBFJt0eHf1fl8g0HVS7hcFeAPmdSnDAGhEDJBQDIprohy91/f4GHttQ41iV9dqmdAgAAaHZUfAcAAAiAkAUAABDAYhe+N5+q4qEAAAChMZIFAAAQACELAAAggPaZLgSaDKUZAKC5EbKAZUZ4AoD2wHQhAABAAIQsAACAAAhZAAAAAbAmC0gIa60AANUYyQIAAAigbUNWad9Z5R59Uyu+clK5R99Uad/ZtLsEAABaSFtOF5b2nVXhhdOami7fH5l0FV44LUnKb1qVYs+QNUwBAgAWqy1HsgZ3nZkNWBVT0+V2AACAJLRlyBqd9IbaAQAAGtWWIau/2xpqBwAAaFRbhqziltXq6pzb1tVZbgcAAEhCW4as/KZVGrpljQa6TSZpoNs0dMsaFr0DAIDEtOXVhVI5aBGq2hdXDQIAQmvbkIXmEjcUDa/5VOCeAAAQDyELLYURKgBAVrTlmiwAAIDQGMlCqhh5AgC0KkayAAAAAmAkC0EwQgUAaHeMZAE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t3k5naV1MOz/xyfDxzAuI2oIDgbt/X1Ko/bgx5XiXdM1CPzcm9SaOofyyrg8UGgfYOtvnbFjKhT9SXEnawA1ruo6ZJSyRARSb0J7IQB4IBG2ADKC4Zd1SNWR9aJ9hRI9A0CY2dXZy4ccxgl1AGdcNAtiYBgAiR4ugxbB0NIBmIxC0EJaORppQV0+rbp+K9sM3qYUwcQxZNHoHPMSDMYIWUuaJYwBaFy2CFsLEsbjNdyIYsFBcYQrywv+8oH1379PRg0e1ZPUSdV/WzcQxAIUgEOQk7cK+8rdXBo/dfedu+avVC/7Rg0e1+87d0qq1uqV7LVlDAJqKQJCD4IU9MTNA7Lt732vH1virrs1Hn9NZf3eWVmu1ViflX5K0iUFBZMAMYmRFIMhB6ML+7PCz8qN+XICYeWzN0YNHU8sBoJEIBDkIXcCnfjV1XJm/6tVcreNf0pLVS3KuGQDMjkCQgyWrl2S7m5+SbKkd0zKwpVZ3BymURyg7CCgKgSAH3Zd1H9flY0tNi5Yu0uQvJ487fvpYwVwGlxEHJoihKASCHNQu4DMv7JJSA0Ttos+FH0ArIBDkpN6FnTv/ONEFhHZBIGiwPO78Q4uL0ZUAIA+sNQQAkaNFACwQXUBodwQCoMny6tJjBjHyQtcQAESOQAAAkaNrCJgjxgJQVrQIACBytAiAFsegMBqNFgEARI4WAdAgzPxGuyAQZJRlS8pGCy09IbX/RWjnuvWp5euf2JnbZ4QGf3dcuSO3zwDaAYEgg3pbUrKQHIB2xRhBBqEtKffdva+gGgHAwtEiyCC0Cxl7DZdL1vkC7d4NB9AiyCC0pzB7DQNoZ7QIMghtSclew62NGcFAfbkEAjO7Q9ImSfvd/TeTslWSviKpImlU0uXu/ryZmaTPSrpE0mFJf+buj+RRj/nIkgUU2pKSgWIA7SyvFsGdkj4n6UvTym6UtM3dP2VmNybPPyzpYklnJj/vkPTF5HfT1csCktIv+Ow13Jq46wfmL5dA4O7fM7PKjOJLJZ2fPL5L0ndUDQSXSvqSu7uk/zOzlWZ2krvvyaMuWYSygJ4dflZ+1EkTBRCFRg4Wd0+7uO+VVOtIP1nS09OOeyYpa7pQts/Ur6ZIEwUQjaZkDSV3/z7rgdOY2YCZbTez7QcOHGhIvbJm+5AmCqCMGpk1tK/W5WNmJ0nan5TvlnTqtONOScqO4e5DkoYkqa+vL1MQmatQFtCipYs0+cvJ444nTTRuzBdAWTUyENwr6UpJn0p+3zOt/Foz26LqIPF4EeMDUjgLSFLbp4mG1iHiYgZgprzSR7+s6sDwGjN7RtLHVA0AW83sakljki5PDr9f1dTREVXTR6/Kow7zVS8LiDTR1kN2EJC/vLKGPhB4aWPKsS7pmjw+t5FIEwUQC5aYAIDIEQgAIHKsNQS0CPYmRlFoEQBA5AgEABA5AgEARI5AAACRIxAAQOTIGgJmYBkOxIZAgGhxwQeqogkEWbakBICYRBEI6m1JGVswYFVSADNFMVgc2pKSHccAIJJAENpZjB3HACCSQBDaWYwdxwAgkkDQfVm3bKkdU9ZuO44BQKNEMVgc2pIytoFiAEgTRSCQ2HGsZscvdqWW79SvN7kmAFpFNIEA8SI1FqgvijECAEAYLYKSCnUBAcBMBII2xsX+dXT/APNH1xAARI4WQQvhDj8ObFKPVkOLAAAiR4sAksJ3qTu3ML8AKDtaBAAQOVoEDRTq899wWk+TawIAYQSCArTToDBdRkD50TUEAJGjRZBBO93JA8BcEQjQVphBDOQv6kDAHf78MXYAlEcUgYALfvGyzqYloADNw2AxAESusEBgZheZ2ZNmNmJmNxZVDwCIXSFdQ2a2WNLnJb1H0jOSfmhm97r740XUB+2DsQkgf0WNEbxd0oi7/1ySzGyLpEslEQggiRU6gWYqqmvoZElPT3v+TFIGAGiyls0aMrMBSQOS1NOzwLV5bh7PoUaYky3r08sb/f8g9LmtiO8jWkxRLYLdkk6d9vyUpOw17j7k7n3u3tfV1dXUygFATIpqEfxQ0plmdpqqAeAKSX9SUF2Qo/VP7Cy6Ci2D/xZoF4UEAnefMLNrJX1L0mJJd7j7Y0XUBQBiV9gYgbvfL+n+oj4fAFDFzGIAiByBAAAiRyAAgMgRCAAgci07oQzIol6q5s51bTTZDCgALQIAiByBAAAiR9cQsEDMIEa7o0UAAJEjEABA5AgEABA5AgEARI5AAACRIxAAQOQIBAAQOQIBAESOQAAAkSMQAEDkCAQAEDkCAQBEjkAAAJEjEABA5AgEABA5AgEARI5AAACRIxAAQOTYqhKlF9pKcue69U2uCdCaaBEAQOQIBAAQOQIBAESOQAAAkSMQAEDkCAQAEDnSR4E5CqWhAu2OFgEARI4WAaLFHT5QtaAWgZn9sZk9ZmZTZtY347WbzGzEzJ40swunlV+UlI2Y2Y0L+XwAwMIttGvop5LeL+l70wvN7GxJV0g6R9JFkr5gZovNbLGkz0u6WNLZkj6QHAsAKMiCuobcfackmdnMly6VtMXdj0j6hZmNSHp78tqIu/88+XdbkmMfX0g9AADz16jB4pMlPT3t+TNJWaj8OGY2YGbbzWz7gQMHGlRNAMCsLQIz+09Ja1Ne2uzu9+RfpSp3H5I0JEl9fX3eqM8BgNjNGgjc/Xfn8b67JZ067fkpSZnqlAMACtCorqF7JV1hZieY2WmSzpT0A0k/lHSmmZ1mZktVHVC+t0F1AADMwYIGi83sDyX9g6QuSd80s0fd/UJ3f8zMtqo6CDwh6Rp3n0z+zbWSviVpsaQ73P2xBZ0BAGBBzL31u9/7+vp8+/btRVcDANqKmT3s7n2zHtcOgcDMDkgay+nt1kh6Lqf3ahexnXNs5ytxzrHIes697t4120FtEQjyZGbb5xIhyyS2c47tfCXOORaNOmcWnQOAyBEIACByMQaCoaIrUIDYzjm285U451g05JyjGyMAABwrxhYBAGCaaAJBDPsgmNkdZrbfzH46rWyVmT1gZj9Lfr+pyDrmzcxONbMHzezxZG+M65Ly0p63mS0zsx+Y2Y+Tc/54Un6amT2UfMe/kszeL41kKfsfmdl9yfNSn68kmdmome0ws0fNbHtSlvt3O4pAENE+CHequv/DdDdK2ubuZ0raljwvkwlJH3L3syWdJ+ma5P9tmc/7iKQL3P0tks6VdJGZnSfp05JudfczJD0v6eoC69gI10mavq1c2c+35nfc/dxpaaO5f7ejCASq7oUw4u4/d/dXJdX2QSgVd/+epEMzii+VdFfy+C5J72tqpRrM3fe4+yPJ45dUvVCcrBKft1f9Mnm6JPlxSRdI+o+kvFTnbGanSPp9Sf+cPDeV+Hxnkft3O5ZAMOd9EEqo2933JI/3SuousjKNZGYVSW+V9JBKft5JN8mjkvZLekDSU5JecPeJ5JCyfcdvk/Q3kqaS56tV7vOtcUnfNrOHzWwgKcv9u83m9RFxdzezUqaJmdkbJN0t6Xp3f3H6rnllPO9kEcdzzWylpK9JWldwlRrGzDZJ2u/uD5vZ+UXXp8ne7e67zezNkh4wsyemv5jXdzuWFkG9/RHKbp+ZnSRJye/9Bdcnd2a2RNUgMOzuX02KS3/ekuTuL0h6UNI7Ja00s9rNXZm+4++S9AdmNqpqt+4Fkj6r8p7va9x9d/J7v6oB/+1qwHc7lkAQ8z4I90q6Mnl8paSG7SpXhKSv+HZJO939M9NeKu15m1lX0hKQmS2X9B5Vx0YelPRHyWGlOWd3v8ndT3H3iqp/u//l7v0q6fnWmNmvmdmJtceSfk/ST9WA73Y0E8rM7BJV+xlr+yAMFlyl3JnZlyWdr+oKhfskfUzS1yVtldSj6gqul7v7zAHltmVm75b035J26PX+44+oOk5QyvM2s99SdZBwsao3c1vd/RYz+w1V75hXSfqRpD919yPF1TR/SdfQX7n7prKfb3J+X0uedkj6d3cfNLPVyvm7HU0gAACki6VrCAAQQCAAgMgRCAAgcgQCAIgcgQAAIkcgAIDIEQgAIHIEAgCI3P8DRtdCyz3kz4MAAAAASUVORK5CYII=\n",
          "text/plain": "<Figure size 432x288 with 1 Axes>"
         },
         "metadata": {},
         "output_type": "display_data"
        }
       ]
      }
     },
     "75845cc8ca2d4308b9d8849cfe33fb86": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "FloatSliderModel",
      "state": {
       "description": "mc1_shape_conv",
       "layout": "IPY_MODEL_4fcf2bbe3339417f856b8a7c32ade0d3",
       "max": 5,
       "min": -5,
       "step": 0.1,
       "style": "IPY_MODEL_5c5a4605a7e64530bf76a36646f52b7b"
      }
     },
     "7589dfcb2d494aed94a83c2827c317fb": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "75c72c9620dd4645a324fb0e9fbf6054": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "75e421a2ab744297a179b889e8b9fca2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "7611ddd19e2043a69c6ee991792f37fe": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "IntSliderModel",
      "state": {
       "description": "mc2_shape_conv",
       "layout": "IPY_MODEL_52c1039261174439b55b0d55b62bb6f7",
       "max": 5,
       "min": -5,
       "style": "IPY_MODEL_3219c6471ac24102aa35c494680d449a"
      }
     },
     "767947bb25bf4a01a61b85ee6cd44d19": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "IntSliderModel",
      "state": {
       "description": "mc2_weight_var1",
       "layout": "IPY_MODEL_2301dca9a16148809453509afea3c5af",
       "max": 5,
       "min": -5,
       "style": "IPY_MODEL_1888089cd3424f958d6aeca209b04bc9"
      }
     },
     "769dce3ada684269985c1018d72949bc": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_9fe036dd2a82497aa747aa2f23972511",
       "outputs": [
        {
         "data": {
          "image/png": 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\n",
          "text/plain": "<Figure size 720x360 with 1 Axes>"
         },
         "metadata": {
          "needs_background": "light"
         },
         "output_type": "display_data"
        }
       ]
      }
     },
     "8113693b117e4b5b81086d9092c4e524": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_e459309cae9b444490bcf364944168a5",
       "outputs": [
        {
         "data": {
          "image/png": 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          "text/plain": "<Figure size 432x288 with 1 Axes>"
         },
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\n",
          "text/plain": "<Figure size 432x288 with 1 Axes>"
         },
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      "model_name": "VBoxModel",
      "state": {
       "_dom_classes": [
        "widget-interact"
       ],
       "children": [
        "IPY_MODEL_53378d1af3dc4003a34c40493fe9385d",
        "IPY_MODEL_dba01079f38b45dda63c0e3cc680c8ed",
        "IPY_MODEL_f5282f209b9b4737b3cc9dec1825163c",
        "IPY_MODEL_6266dfabeaee4a1a9a7871f01b0bde98",
        "IPY_MODEL_ef663ff0d6014ae6a22ab6997853b872",
        "IPY_MODEL_1d4d01e6953443f3906dfcac001a036b"
       ],
       "layout": "IPY_MODEL_3e5a67cb2c85445aa37551c3d6509997"
      }
     },
     "c34d009e54444979bf9c433d415a12e0": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "c3b715a114ba40d093be03b38964f0f6": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "c3b779a3d2004b38b628d0fb96e3944c": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "c3ff3589ba8e4954964fb4187f02a67b": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_6a31e7c45d1c419b954cb0cb086bc783",
       "outputs": [
        {
         "data": {
          "image/png": 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