{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "wooden-footage",
   "metadata": {},
   "source": [
    "# Implementation of PeakFinder8 on GPU\n",
    "\n",
    "The *peakfinder8* is the core algorithm for assessing the quality of a single frame in serial crystallography and was initially implemented in C++ within the [cheetah](https://www.desy.de/~barty/cheetah/Cheetah/SFX_hitfinding.html) [1]\n",
    "\n",
    "This algorithm is called *peakfinder8* because it consits of 8 subsequent steps perfromed on evry single frame:\n",
    "\n",
    "1. perfrom the azimuthal integration with uncertainety propagation\n",
    "2. discard pixels which differ by more than N-sigma from the mean and cycle to 1 about 3 to 5 times\n",
    "3. pick all pixels with I > mean + min(N*sigma, noise)\n",
    "4. such pixel is a peak if it is the maximum of the 3x3 or 5x5 patch and there are *connected* pixels in the patch with their intensity above the previous threshold.\n",
    "5. subtract background and sum the signal over the patch\n",
    "6. return the index of the peak, the integrated signal and the center of mass of the peak\n",
    "7. exclude neighboring peaks (un-implemented)\n",
    "8. Validate the frame if there are enough peaks found.\n",
    "\n",
    "There is a attempt to implement *peakfinder8* on GPU within the pyFAI.\n",
    "The steps 1+2 correspond to the sigma-clipping algorithm and enforce an azimuthal, normal distribution for the background.\n",
    "\n",
    "This tutorial demontrates how peak-finding can be called from Jupyter notebooks and what are the performances expected. Finally, the performances will be compared with the reference implementation.\n",
    "\n",
    "\n",
    "[1] A. Barty, R. A. Kirian, F. R. N. C. Maia, M. Hantke, C. H. Yoon, T. A. White, and H. N. Chapman, \"Cheetah: software for high-throughput reduction and analysis of serial femtosecond x-ray diffraction data\", J Appl Crystallogr, vol. 47, pp. 1118-1131 (2014)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "hollywood-cache",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib nbagg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "aging-inspiration",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import sys\n",
    "import shutil\n",
    "import posixpath\n",
    "import numpy\n",
    "import glob\n",
    "from matplotlib.pylab import subplots\n",
    "import fabio\n",
    "import pyFAI, pyFAI.azimuthalIntegrator\n",
    "from pyFAI.gui import jupyter\n",
    "from pyFAI import units\n",
    "import pyopencl\n",
    "from pyFAI.opencl.peak_finder import OCL_PeakFinder\n",
    "from pyFAI.test.utilstest import UtilsTest\n",
    "import time\n",
    "start_time = time.perf_counter()\n",
    "os.environ[\"PYOPENCL_COMPILER_OUTPUT\"] = \"1\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "postal-blond",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of masked pixels: 527055\n"
     ]
    }
   ],
   "source": [
    "fimg = fabio.open(UtilsTest.getimage(\"Pilatus6M.cbf\"))\n",
    "mask = numpy.logical_or(fimg.data>65000, fimg.data<0)\n",
    "print(f\"Number of masked pixels: {mask.sum()}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "facial-constitutional",
   "metadata": {},
   "outputs": [],
   "source": [
    "det = pyFAI.detector_factory(\"Pilatus6M\")\n",
    "det.mask = mask"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "informal-secondary",
   "metadata": {},
   "outputs": [
    {
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       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
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       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
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       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
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       "        'canvas'\n",
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       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
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       "    var fig = this;\n",
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       "        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",
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       "\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",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = 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",
       "            /* 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",
       "            evt.data.type = 'image/png';\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",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.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",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['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",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\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=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dimg = fimg.data.copy()\n",
    "dimg[mask] = 0\n",
    "\n",
    "fig,ax = subplots(1, 2, figsize=(10,5))\n",
    "jupyter.display(dimg, ax=ax[0])\n",
    "jupyter.display(dimg, ax=ax[1])\n",
    "ax[1].set_xlim(1500, 1800)\n",
    "ax[1].set_ylim(850, 1020)\n",
    "pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "disturbed-civilian",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Detector Pilatus 6M\t PixelSize= 1.720e-04, 1.720e-04 m\n",
      "SampleDetDist= 3.000000e-01m\tPONI= 2.254060e-01, 2.285880e-01m\trot1=0.000000  rot2= 0.000000  rot3= 0.000000 rad\n",
      "DirectBeamDist= 300.000mm\tCenter: x=1329.000, y=1310.500 pix\tTilt=0.000 deg  tiltPlanRotation= 0.000 deg\n"
     ]
    }
   ],
   "source": [
    "ponifile = UtilsTest.getimage(\"Pilatus6M.poni\")\n",
    "ai = pyFAI.load(ponifile)\n",
    "ai.detector = det\n",
    "print(ai)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "technological-proportion",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:pyFAI.ext.splitBBoxCSR:Pixel splitting desactivated !\n"
     ]
    },
    {
     "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_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = 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",
       "            /* 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",
       "            evt.data.type = 'image/png';\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",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.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",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['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",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "<img 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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "kwargs = {\"data\": fimg.data,\n",
    "          \"npt\":1000, \n",
    "          \"method\": (\"no\", \"csr\", \"opencl\"), \n",
    "          \"polarization_factor\": 0.99, \n",
    "          \"unit\":\"r_mm\", }\n",
    "ax = jupyter.plot1d(ai.integrate1d(**kwargs))\n",
    "ax.errorbar(*ai.sigma_clip_ng(error_model=\"azimuthal\", **kwargs), label=\"sigma-clip\")\n",
    "_=ax.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "addressed-reverse",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using RTX A5000\n"
     ]
    }
   ],
   "source": [
    "ctx = pyopencl.create_some_context(interactive=False)\n",
    "print(f\"Using {ctx.devices[0].name}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "impaired-romantic",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:pyFAI.ext.splitBBoxCSR:Pixel splitting desactivated !\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of high intensity pixels at stage #3: 31232\n",
      "Number of peaks identified at stage #6: 363\n"
     ]
    }
   ],
   "source": [
    "unit = units.to_unit(\"r_mm\")\n",
    "image_size = det.shape[0] * det.shape[1]\n",
    "integrator = ai.setup_CSR(ai.detector.shape, 1000, mask=mask, unit=unit, split=\"no\", scale=False)\n",
    "polarization = ai._cached_array[\"last_polarization\"]\n",
    "pf = OCL_PeakFinder(integrator.lut, \n",
    "                     image_size=image_size,\n",
    "                     bin_centers=integrator.bin_centers,\n",
    "                     radius=ai._cached_array[unit.name.split(\"_\")[0] + \"_center\"],\n",
    "                     mask=mask,\n",
    "                     ctx=ctx,\n",
    "#                      block_size=512,\n",
    "                     unit=unit) \n",
    "kwargs = {\"data\":fimg.data, \n",
    "          \"error_model\":\"azimuthal\", \n",
    "          \"polarization\":polarization.array,\n",
    "          \"polarization_checksum\": polarization.checksum}\n",
    "print(f\"Number of high intensity pixels at stage #3: {pf.count(**kwargs ,cycle=5, cutoff_pick=3.0)}\\n\\\n",
    "Number of peaks identified at stage #6: {pf._count8(**kwargs, cycle=5, cutoff_pick=3.0)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "linear-borough",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5.36 ms ± 48 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n",
      "\n",
      "OpenCL kernel profiling statistics in milliseconds for: OCL_PeakFinder\n",
      "                                       Kernel name (count):      min   median      max     mean      std\n",
      "                               copy raw H->D image (  811):    2.359    2.422    3.133    2.432    0.060\n",
      "                                 cast s32_to_float (  811):    0.081    0.084    0.105    0.084    0.002\n",
      "                                         memset_ng (  811):    0.003    0.003    0.004    0.003    0.000\n",
      "                                       corrections (  811):    0.270    0.272    0.291    0.272    0.001\n",
      "                                   csr_sigma_clip4 (  811):    1.766    1.795    1.834    1.795    0.010\n",
      "                                    memset counter (  811):    0.002    0.003    0.004    0.003    0.000\n",
      "                                       peak_search (  811):    0.313    0.316    0.324    0.317    0.002\n",
      "                                 copy D->H counter (  811):    0.001    0.001    0.008    0.001    0.000\n",
      "________________________________________________________________________________\n",
      "                       Total OpenCL execution time        : 3979.800ms\n"
     ]
    }
   ],
   "source": [
    "# Performance measurement of the pixel recording (stage 1->3)\n",
    "pf.reset_log()\n",
    "pf.set_profiling(True)\n",
    "%timeit pf.count(**kwargs, cycle=3, cutoff_pick=3, noise=1)\n",
    "print(\"\\n\".join(pf.log_profile(True)))\n",
    "pf.set_profiling(False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fundamental-submission",
   "metadata": {},
   "source": [
    "The overhead from calling OpenCL from Python is as low as 8%"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "dominant-quantum",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5.59 ms ± 60.7 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n",
      "\n",
      "OpenCL kernel profiling statistics in milliseconds for: OCL_PeakFinder\n",
      "                                       Kernel name (count):      min   median      max     mean      std\n",
      "                               copy raw H->D image (  811):    2.357    2.402    3.094    2.427    0.078\n",
      "                                 cast s32_to_float (  811):    0.077    0.080    0.101    0.080    0.002\n",
      "                                         memset_ng (  811):    0.003    0.003    0.006    0.003    0.000\n",
      "                                       corrections (  811):    0.271    0.272    0.294    0.272    0.001\n",
      "                                   csr_sigma_clip4 (  811):    1.766    1.795    1.819    1.795    0.009\n",
      "                                    memset counter (  811):    0.002    0.003    0.004    0.003    0.000\n",
      "                                       peakfinder8 (  811):    0.475    0.477    0.487    0.477    0.001\n",
      "                                 copy D->H counter (  811):    0.001    0.001    0.002    0.001    0.000\n",
      "                                   copy D->H index (  811):    0.001    0.001    0.002    0.001    0.000\n",
      "                               copy D->H intensity (  811):    0.001    0.001    0.002    0.001    0.000\n",
      "                               copy D->H position0 (  811):    0.001    0.001    0.001    0.001    0.000\n",
      "                               copy D->H position1 (  811):    0.001    0.001    0.002    0.001    0.000\n",
      "________________________________________________________________________________\n",
      "                       Total OpenCL execution time        : 4106.067ms\n"
     ]
    }
   ],
   "source": [
    "# Performance measurement of the pixel recording (stage 1->6)\n",
    "pf.reset_log()\n",
    "pf.set_profiling(True)\n",
    "%timeit res8=pf.peakfinder8(**kwargs, cycle=3, cutoff_pick=3, noise=1, connected=3, patch_size=3)\n",
    "print(\"\\n\".join(pf.log_profile(True)))\n",
    "pf.set_profiling(False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "confused-glucose",
   "metadata": {},
   "source": [
    "The overhead from calling OpenCL from Python is as low as 10% (lower performances due to memory allocation)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "green-advancement",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "155 [('index', '<i4'), ('intensity', '<f4'), ('pos0', '<f4'), ('pos1', '<f4')]\n"
     ]
    }
   ],
   "source": [
    "# Visualization of the performances:\n",
    "res8 = pf.peakfinder8(fimg.data, error_model=\"azimuthal\", \n",
    "                      cycle=3, cutoff_pick=3, noise=2, connected=9, patch_size=5)\n",
    "print(len(res8), res8.dtype)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "essential-january",
   "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_dpi_ratio', { dpi_ratio: fig.ratio });\n",
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       "        fig.send_message('refresh', {});\n",
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       "\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",
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       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = 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",
       "            /* 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",
       "            evt.data.type = 'image/png';\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",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.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",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['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",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
    {
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\" 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      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "width = fimg.shape[-1]\n",
    "y = res8[\"index\"] // width\n",
    "x = res8[\"index\"] % width\n",
    "fig, ax = subplots(1, 2, figsize=(10,5))\n",
    "jupyter.display(dimg, ax=ax[0])\n",
    "jupyter.display(dimg, ax=ax[1])\n",
    "ax[0].plot(x, y, \".\", label=\"maxi\")\n",
    "ax[1].plot(x, y, \".\")\n",
    "ax[0].plot(res8[\"pos1\"], res8[\"pos0\"], \".g\", label=\"peak\")\n",
    "ax[1].plot(res8[\"pos1\"], res8[\"pos0\"], \".g\")\n",
    "ax[1].set_xlim(1500, 1800)\n",
    "ax[1].set_ylim(850, 1020)\n",
    "_=ax[0].legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "cooked-flower",
   "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_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = 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",
       "            /* 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",
       "            evt.data.type = 'image/png';\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",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.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",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['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",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "<img 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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = subplots()\n",
    "res=ax.hist(res8[\"intensity\"], 100, )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "solar-paraguay",
   "metadata": {},
   "source": [
    "## Comparison with the original \"peakfinder8\" \n",
    "\n",
    "This algorithm has a python wrapper available from \n",
    "https://github.com/tjlane/peakfinder8\n",
    "\n",
    "The next cells installs a local version of the Cython-binded peakfinder8 from github. \n",
    "\n",
    "Nota: This is a quick & dirty solution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "excellent-prison",
   "metadata": {},
   "outputs": [],
   "source": [
    "targeturl = \"https://github.com/tjlane/peakfinder8\"\n",
    "targetdir = posixpath.split(targeturl)[-1]\n",
    "if os.path.exists(targetdir):\n",
    "    shutil.rmtree(targetdir, ignore_errors=True)\n",
    "pwd = os.getcwd()\n",
    "try:\n",
    "    os.system(\"git clone \" + targeturl)\n",
    "    os.chdir(targetdir)\n",
    "    os.system(sys.executable + \" setup.py build\")    \n",
    "finally:\n",
    "    os.chdir(pwd)\n",
    "sys.path.append(pwd+\"/\"+glob.glob(f\"{targetdir}/build/lib*\")[0])\n",
    "from ssc.peakfinder8_extension import peakfinder_8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "false-space",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 24.3 ms, sys: 8.01 ms, total: 32.3 ms\n",
      "Wall time: 31.1 ms\n"
     ]
    }
   ],
   "source": [
    "%%time \n",
    "#Create some compatibility layer:\n",
    "img = fimg.data.astype(\"float32\")\n",
    "r = ai._cached_array['r_center'].astype(\"float32\")\n",
    "# r = numpy.ones_like(img)\n",
    "imask = (1-mask).astype(\"int8\")\n",
    "max_num_peaks = 1000\n",
    "asic_nx = img.shape[-1]\n",
    "asic_ny = img.shape[0]\n",
    "nasics_x = 1\n",
    "nasics_y = 1\n",
    "adc_threshold = 2.0\n",
    "minimum_snr = 3.0\n",
    "min_pixel_count = 9\n",
    "max_pixel_count = 999\n",
    "local_bg_radius = 3 \n",
    "accumulated_shots = 1\n",
    "min_res = 0\n",
    "max_res = 3000\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "broadband-turkish",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 139 ms, sys: 4.23 ms, total: 143 ms\n",
      "Wall time: 142 ms\n"
     ]
    }
   ],
   "source": [
    "%%time \n",
    "ref = peakfinder_8(max_num_peaks,\n",
    "                   img, imask, r, \n",
    "                   asic_nx, asic_ny, nasics_x, nasics_y, \n",
    "                   adc_threshold, minimum_snr,\n",
    "                   min_pixel_count, max_pixel_count, local_bg_radius)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "parallel-slave",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "129 ms ± 3.02 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\n"
     ]
    }
   ],
   "source": [
    "%%timeit\n",
    "peakfinder_8(max_num_peaks,\n",
    "               img, imask, r, \n",
    "               asic_nx, asic_ny, nasics_x, nasics_y, \n",
    "               adc_threshold, minimum_snr,\n",
    "               min_pixel_count, max_pixel_count, local_bg_radius)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "lucky-kingston",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of peak found:  995 995 995\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "21.31715771230503"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"Number of peak found: \", len(ref[0]), len(ref[1]), len(ref[2]))\n",
    "123/5.77"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "packed-wallpaper",
   "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_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = 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",
       "            /* 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",
       "            evt.data.type = 'image/png';\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",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.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",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['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",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\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=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Display the peaks\n",
    "fig, ax = subplots(1, 2, figsize=(10,5))\n",
    "jupyter.display(dimg, ax=ax[0])\n",
    "jupyter.display(dimg, ax=ax[1])\n",
    "ax[0].plot(ref[0], ref[1], \".g\")\n",
    "ax[1].plot(ref[0], ref[1], \".g\")\n",
    "ax[1].set_xlim(1500, 1800)\n",
    "ax[1].set_ylim(850, 1020)\n",
    "pass"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "periodic-opera",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "\n",
    "The re-implementation of *peakfinder8* in pyFAI takes advantage of the many parallel threads available on GPU which makes it 20 times faster than the original implementation in C++. Despite this algorithm has been re-designed for GPU, it can also run on CPU but it would not be optimized there thus it is likely to be slower.\n",
    "\n",
    "The results obtained with the Python/OpenCL implementation looks better, this is probably due to a slightly different threshold $I > mean + max(N*sigma, noise)$ instead of $I > max(noise, mean + N*sigma)$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "handmade-morning",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total execution time: 23.137s\n"
     ]
    }
   ],
   "source": [
    "print(f\"Total execution time: {time.perf_counter()-start_time:.3f}s\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}