{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Example of 2D and 3D scattering calculations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.colors import LogNorm\n",
    "import numpy as np\n",
    "from pynx.scattering.fhkl import Fhkl_thread\n",
    "\n",
    "# The GPU name and language can be specified, or will be automatically selected\n",
    "gpu_name=\"\"\n",
    "language=\"\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2D scattering from a 3D crystal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "fhkl:    40 10^3 reflections,    64 10^3 atoms, speed=  1.318 10^9 reflections.atoms/s\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",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from 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.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, 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\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    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": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x127be96d0>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nx=40\n",
    "ny=40\n",
    "nz=40\n",
    "nh=200\n",
    "nk=200\n",
    "nl = 1\n",
    "# Create array of 3D coordinates\n",
    "x = np.arange(0, nx, dtype=np.float32)\n",
    "y = np.arange(0, ny, dtype=np.float32)[:, np.newaxis]\n",
    "z = np.arange(0, nz, dtype=np.float32)[:, np.newaxis, np.newaxis]\n",
    "\n",
    "# HKL coordinates as a 2D array, in reciprocal units of x,y,z\n",
    "h = 0 + np.linspace(-.5, .5, nh)\n",
    "k = 1 + np.linspace(-.5, .5, nk)[:, np.newaxis]\n",
    "l = np.zeros_like(h+k)\n",
    "\n",
    "# Computation (done twice - first time to compile kernel, second to get acurate dt)\n",
    "fhkl, dt = Fhkl_thread(h, k, l, x, y, z, gpu_name=gpu_name, language=language)\n",
    "fhkl, dt = Fhkl_thread(h, k, l, x, y, z, gpu_name=gpu_name, language=language)\n",
    "print(\"fhkl: %5d 10^3 reflections, %5d 10^3 atoms, speed=%7.3f 10^9 reflections.atoms/s\" % \n",
    "      (nh * nk * nl // 1000, nx * ny * nz // 1000, nx * ny * nz * nh * nk * nl / dt / 1e9))\n",
    "\n",
    "plt.figure(figsize=(9,3))\n",
    "plt.imshow(abs(fhkl), norm=LogNorm(vmin=0.1), extent=(h.min(), h.max(), k.min(), k.max()), origin='lower')\n",
    "plt.colorbar()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2D scattering from a 3D crystal with a displacement field"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "fhkl:    10 10^3 reflections,  1000 10^3 atoms, speed=  1.287 10^9 reflections.atoms/s\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",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from 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.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, 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\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    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": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x106f94bb0>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nx=100\n",
    "ny=100\n",
    "nz=100\n",
    "nh=100\n",
    "nl=100\n",
    "nk = 1\n",
    "# Create array of 3D coordinates\n",
    "x = np.arange(-nx/2, nx/2, dtype=np.float32)\n",
    "y = np.arange(-ny/2, ny/2, dtype=np.float32)[:, np.newaxis]\n",
    "z = np.arange(0, nz, dtype=np.float32)[:, np.newaxis, np.newaxis]\n",
    "\n",
    "z = z +1e-6 *z *(x**2 + y**2)\n",
    "\n",
    "# HKL coordinates as a 2D array, in reciprocal units of x,y,z\n",
    "h = 0 + np.linspace(-.1, .1, nh)\n",
    "l = 4 + np.linspace(-.1, .1, nl)[:, np.newaxis]\n",
    "k = np.zeros_like(h+l)\n",
    "\n",
    "# Computation\n",
    "fhkl, dt = Fhkl_thread(h, k, l, x, y, z, gpu_name=gpu_name, language=language)\n",
    "print(\"fhkl: %5d 10^3 reflections, %5d 10^3 atoms, speed=%7.3f 10^9 reflections.atoms/s\" % \n",
    "      (nh * nk * nl // 1000, nx * ny * nz // 1000, nx * ny * nz * nh * nk * nl / dt / 1e9))\n",
    "\n",
    "plt.figure(figsize=(9,3))\n",
    "plt.imshow(abs(fhkl), norm=LogNorm(vmin=1), extent=(h.min(), h.max(), l.min(), l.max()), origin='lower')\n",
    "plt.colorbar()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
