translation_rotation_playground.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook\n",
    "import numpy as np\n",
    "from helper_functions import *\n",
    "from complex import Complex\n",
    "from molecule import Molecule"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 2  2  2]\n",
      " [-2 -2 -2]\n",
      " [ 2  2 -2]\n",
      " [ 2 -2  2]\n",
      " [-2  2  2]\n",
      " [-2 -2  2]\n",
      " [ 2 -2 -2]\n",
      " [-2  2 -2]] [[ 10  10  10]\n",
      " [-10 -10 -10]\n",
      " [ 10  10 -10]\n",
      " [ 10 -10  10]\n",
      " [-10  10  10]\n",
      " [-10 -10  10]\n",
      " [ 10 -10 -10]\n",
      " [-10  10 -10]\n",
      " [ 20  20  20]\n",
      " [-20 -20 -20]\n",
      " [ 20  20 -20]\n",
      " [ 20 -20  20]\n",
      " [-20  20  20]\n",
      " [-20 -20  20]\n",
      " [ 20 -20 -20]\n",
      " [-20  20 -20]]\n"
     ]
    }
   ],
   "source": [
    "num_features = 3\n",
    "\n",
    "coords1 = np.array(\n",
    "[\n",
    "    [2,2,2],\n",
    "    [-2,-2,-2],\n",
    "    [2,2,-2],\n",
    "    [2,-2,2],\n",
    "    [-2,2,2],\n",
    "    [-2,-2,2],\n",
    "    [2,-2,-2],\n",
    "    [-2,2,-2]\n",
    "]\n",
    ")\n",
    "features1 = np.random.rand(coords1.shape[0], num_features-1)\n",
    "features1 = np.concatenate((np.ones((coords1.shape[0], 1)), features1), axis=1)\n",
    "\n",
    "coords2 = np.concatenate((coords1*5, coords1*10), axis=0)\n",
    "features2 = np.random.rand(coords2.shape[0], num_features-1)\n",
    "features2 = np.concatenate((np.ones((coords2.shape[0], 1))*-1, features2), axis=1)\n",
    "\n",
    "print(coords1, coords2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of heavy atoms in molecule = 8\n",
      "Number of features = 3\n",
      "Max distance between atoms along\n",
      "x:(-2.0, 2.0, 4.0)\n",
      "y:(-2.0, 2.0, 4.0)\n",
      "z:(-2.0, 2.0, 4.0)\n",
      "Number of heavy atoms in molecule = 16\n",
      "Number of features = 3\n",
      "Max distance between atoms along\n",
      "x:(-20.0, 20.0, 40.0)\n",
      "y:(-20.0, 20.0, 40.0)\n",
      "z:(-20.0, 20.0, 40.0)\n"
     ]
    }
   ],
   "source": [
    "max_dist = 25.0\n",
    "resolution = 0.1\n",
    "\n",
    "grid = Complex(max_dist=max_dist, resolution=resolution, num_features=num_features)\n",
    "mol1 = Molecule(coords1, features1)\n",
    "mol2 = Molecule(coords2, features2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "501"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grid.box_size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
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       "\n",
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       "            buttonGroup = document.createElement('div');\n",
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       "            continue;\n",
       "        }\n",
       "\n",
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       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
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       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
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       "\n",
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       "\n",
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       "\n",
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       "        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",
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       "    var x0 = msg['x0'] / mpl.ratio;\n",
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       "    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 / mpl.ratio,\n",
       "        fig.canvas.height / mpl.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / mpl.ratio;\n",
       "    fig.root.removeEventListener('remove', this._remove_fig_handler);\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 / mpl.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 () {\n",
       "    this.close_ws(this, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "    el.addEventListener('remove', this._remove_fig_handler);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"400\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grid.update_tensor([mol1, mol2])\n",
    "grid.plot_tensor(feature_axis=0, protein_alpha=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (mpl.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: mpl.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",
       "    mpl.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",
       "    var resizeObserver = new 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 * mpl.ratio);\n",
       "                canvas.setAttribute('height', height * mpl.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 (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.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 / mpl.ratio,\n",
       "        fig.canvas.height / mpl.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / mpl.ratio;\n",
       "    fig.root.removeEventListener('remove', this._remove_fig_handler);\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 / mpl.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 () {\n",
       "    this.close_ws(this, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "    el.addEventListener('remove', this._remove_fig_handler);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"400\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mol2.crop(mol1.get_centroid(), 15, 15, 15)\n",
    "grid.update_tensor([mol1, mol2])\n",
    "grid.plot_tensor(feature_axis=0, protein_alpha=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (mpl.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: mpl.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",
       "    mpl.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",
       "    var resizeObserver = new 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 * mpl.ratio);\n",
       "                canvas.setAttribute('height', height * mpl.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 (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.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 / mpl.ratio,\n",
       "        fig.canvas.height / mpl.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / mpl.ratio;\n",
       "    fig.root.removeEventListener('remove', this._remove_fig_handler);\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 / mpl.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 () {\n",
       "    this.close_ws(this, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "    el.addEventListener('remove', this._remove_fig_handler);\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"
    },
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\" width=\"400\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mol1.translate(0, -10, 0)\n",
    "mol2.rotate('x', 45, degrees=True)\n",
    "mol1.rotate('xyz', [360,360,360], degrees=True)\n",
    "grid.update_tensor([mol1, mol2])\n",
    "grid.plot_tensor(feature_axis=0, protein_alpha=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Using \"set_in_grid\" method is equivalent of updating tensor with list of molecules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (mpl.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: mpl.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",
       "    mpl.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",
       "    var resizeObserver = new 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 * mpl.ratio);\n",
       "                canvas.setAttribute('height', height * mpl.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 (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.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 / mpl.ratio,\n",
       "        fig.canvas.height / mpl.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / mpl.ratio;\n",
       "    fig.root.removeEventListener('remove', this._remove_fig_handler);\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 / mpl.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 () {\n",
       "    this.close_ws(this, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "    el.addEventListener('remove', this._remove_fig_handler);\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"
    },
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\" width=\"400\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grid.update_tensor([])\n",
    "mol1.set_in_grid(grid)\n",
    "mol2.set_in_grid(grid)\n",
    "grid.plot_tensor(feature_axis=0, protein_alpha=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Creating a smaller box from the start"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of heavy atoms in molecule = 8\n",
      "Number of features = 3\n",
      "Max distance between atoms along\n",
      "x:(-2.0, 2.0, 4.0)\n",
      "y:(-2.0, 2.0, 4.0)\n",
      "z:(-2.0, 2.0, 4.0)\n",
      "Number of heavy atoms in molecule = 16\n",
      "Number of features = 3\n",
      "Max distance between atoms along\n",
      "x:(-20.0, 20.0, 40.0)\n",
      "y:(-20.0, 20.0, 40.0)\n",
      "z:(-20.0, 20.0, 40.0)\n",
      "Some atoms are outside the box and will be discarded.\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 (mpl.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: mpl.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",
       "    mpl.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",
       "    var resizeObserver = new 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 * mpl.ratio);\n",
       "                canvas.setAttribute('height', height * mpl.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 (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.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 / mpl.ratio,\n",
       "        fig.canvas.height / mpl.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / mpl.ratio;\n",
       "    fig.root.removeEventListener('remove', this._remove_fig_handler);\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 / mpl.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 () {\n",
       "    this.close_ws(this, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "    el.addEventListener('remove', this._remove_fig_handler);\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"
    },
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\" width=\"400\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "max_dist = 12.0\n",
    "resolution = 0.1\n",
    "\n",
    "grid = Complex(max_dist=max_dist, resolution=resolution, num_features=num_features)\n",
    "mol1 = Molecule(coords1, features1)\n",
    "mol2 = Molecule(coords2, features2)\n",
    "grid.update_tensor([mol1, mol2])\n",
    "grid.plot_tensor(feature_axis=0, protein_alpha=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}