{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Simple Power Analysis for Password Bypass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "NOTE: This lab references some training material on [ChipWhisperer.io](https://www.ChipWhisperer.io). You can freely execute and use the lab per the open-source license (including using it in your own courses if you distribute similarly), but you must maintain notice about this source location. \n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**SUMMARY:** *This tutorial will introduce you to breaking devices by determining when a device is performing certain operations. Our target device will be performing a simple password check, and we will demonstrate how to perform a basic power analysis.*\n",
    "\n",
    "**LEARNING OUTCOMES:**\n",
    "\n",
    "* How power can be used to determine timing information.\n",
    "* Plotting multiple iterations while varying input data to find interesting locations.\n",
    "* Using difference of waveforms to find interesting locations.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, we will need to do some basic setup for the ChipWhisperer hardware (or software). This exercise works either with real hardware (the ChipWhisperer Nano board) or by simulating the measurements using pre-recorded power traces. Just execute the following cell in order to pull in the needed function definitions, according to your setup:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "(ChipWhisperer Other WARNING|File __init__.py:50) Old pip version: 20.3.4, unable to do CW version check\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO: Found ChipWhisperer😍\n",
      "Detected known STMF32: STM32F04xxx\n",
      "Extended erase (0x44), this can take ten seconds or more\n",
      "Attempting to program 4775 bytes at 0x8000000\n",
      "STM32F Programming flash...\n",
      "STM32F Reading flash...\n",
      "Verified flash OK, 4775 bytes\n"
     ]
    }
   ],
   "source": [
    "# Use this script for a simulated version\n",
    "#%run \"traces/password_sim.ipynb\" \n",
    "\n",
    "# Use this script with the ChipWhisperer Nano board:\n",
    "%run \"traces/password_hw.ipynb\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The Victim Code"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The complete victim code can be inspected in the file `passwdcheck.c` or [here in your browser](img/passwdcheck.c.html). Below you can find a screenshot of the main function:\n",
    "\n",
    "<img src=\"img/passwdcheck-main.png\" alt=\"Main function of password check code\"/>\n",
    "\n",
    "What it does (after some initializations) is the following:\n",
    "\n",
    "* Print out a scary message to the user (over the serial interface)\n",
    "* Wait for the user to send a password\n",
    "* Compare the sent password with the correct one\n",
    "* Send an appropriate response to the user"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The most interesting part is the for loop between lines 20 and 26. Note that the loop quits once it encounters an incorrect character in the password provided by the user. This is the leakage that we will try to exploit: The number of iterations depends on the number of correct characters from the beginning of the password. This means that there is a *timing side-channel*. Unfortunately, it turns out that this side-channel is difficult to exploit directly: Before sending the reply (line 31), the system waits for several milliseconds. Adding to this the timing noise from the serial communication (on both ends of the interface), the slight variation in execution time cannot be detected reliably by timing the response of the system. \n",
    "\n",
    "What we will do instead is using *another side-channel* that will allow us to detect the different execution paths taken by the program. It is based on the fact that the *power consumption* of the processor differs depending on the type of instruction executed. With a bit of luck, looking at captured power traces will do the trick.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Power Trace Gathering"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have provided a function that simulates sending of passwords to the device and the capturing of power traces. On the real hardware, this comprises the following steps:\n",
    "\n",
    "* Reset the target\n",
    "* Read the welcome message (and discard it)\n",
    "* Send the password guess (with added newline) to the target\n",
    "* Capture a power trace of 1000 samples\n",
    "* Read the target's response (and discard it)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's test the function with a single letter password:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✔️ OK to continue!\n"
     ]
    }
   ],
   "source": [
    "trace_test = cap_pass_trace(\"foo\\n\")\n",
    "\n",
    "#Basic sanity check\n",
    "assert(len(trace_test) == 1000)\n",
    "print(\"✔️ OK to continue!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Another function can be used to obtain the response of the target system when sending it a password:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PASSWORD FAIL\n",
      "\n"
     ]
    }
   ],
   "source": [
    "resp = pass_response(\"foo\\n\")\n",
    "print (resp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exploration"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So what can we do with this? While first off - I'm going to cheat, and tell you that we have a preset password that starts with `h`, and it's 5 characters long. But that's the only hint so far - what can you do? While first off, let's try plotting a comparison of `h` to something else."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:matplotlib.font_manager:Matplotlib is building the font cache; this may take a moment.\n"
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       "        button.appendChild(icon_img);\n",
       "\n",
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       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
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       "    // 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",
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       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
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       "\n",
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       "    fig.ondownload(fig, format);\n",
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       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.figure()\n",
    "plt.plot(cap_pass_trace(\"h\\n\"))\n",
    "plt.plot(cap_pass_trace(\"0\\n\"))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you are using the `%matplotlib notebook` magic, you can zoom in at the start. What you want to notice is there is two code paths taken, depending on a correct or incorrect path. Here for example is a correct & incorrect character processed (note that your trace will look different, the examples are taken from another target architecture):\n",
    "<img src=\"img/spa_password_h_vs_0_zoomed.png\" alt=\"SPA of Power Analysis\" width=\"450\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "OK interesting -- what's next? Let's plot every possible password character we could send.\n",
    "\n",
    "Our password implementation only recognizes characters in the list `abcdefghijklmnopqrstuvwxyz0123456789`, so we're going to limit it to those valid characters for now.\n",
    "\n",
    "You also may notice the traces are way too long - you might want to make a more narrow plot that only does the first say 100 samples of the power trace.\n",
    "\n",
    "<div class=\"alert alert-block alert-warning\">\n",
    "    <p><b>Plotting Note</b>\n",
    "If using `matplotlib` for plotting, you might need to add a `plt.figure()` at the start to make a new figure. Otherwise you might find your plot ends up in the figure above! If you don't see the plots, sometimes a `plt.show()` is needed at the end.\n",
    "</div>"
   ]
  },
  {
   "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 (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "alphabet = 'abcdefghijklmnopqrstuvwxyz0123456789'\n",
    "\n",
    "plt.figure()\n",
    "\n",
    "# Try out all one-letter passwords and plot the obtained power trace\n",
    "# FIXME: Your code goes here\n",
    "for i in alphabet:\n",
    "    plt.plot(cap_pass_trace(i))\n",
    "\n",
    "plt.legend(alphabet)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The end result should be if you zoom in, you'll see there is a location where a single \"outlier\" trace doesn't follow the path of all the other traces. That is great news, since it means we indeed learn something about the system from power analysis.\n",
    "\n",
    "<img src=\"img/spa_password_list_char1.png\" alt=\"SPA of Power Analysis against all inputs\" width=\"450\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Automating an Attack against One Character"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To start with - we're going to automate an attack against a **single** character of the password. Since we don't know the password (let's assume), we'll use a strategy of comparing all possible inputs together.\n",
    "\n",
    "An easy way to do this might be to use something that we know can't be part of the valid password. As long as it's processed the same way, this will work just fine. So for now, let's use a password as `0x00` (i.e., a null byte). We can compare the null byte to processing something else:"
   ]
  },
  {
   "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 (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "import matplotlib.pylab as plt\n",
    "\n",
    "plt.figure()\n",
    "ref_trace = cap_pass_trace(\"\\x00\\n\")[0:100]\n",
    "plt.plot(ref_trace)\n",
    "other_trace = cap_pass_trace(\"c\\n\")[0:100]\n",
    "plt.plot(other_trace)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This will plot a trace with an input of \"\\x00\" - a null password! This is an invalid character, and seems to be processed as any other invalid password (so the two plots actually look quite the same).\n",
    "\n",
    "Let's make this a little more obvious, and plot the *difference* between a known (wrong) reference and every other capture. You need to write some code that does something like this:\n",
    "\n",
    "* Capture a reference trace using a null character\n",
    "* For each valid character, capture a trace and plot the difference between this trace and the reference trace\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img 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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "import matplotlib.pylab as plt\n",
    "\n",
    "alphabet = 'abcdefghijklmnopqrstuvwxyz0123456789'\n",
    "\n",
    "plt.figure()\n",
    "\n",
    "# FIXME: Your code goes here\n",
    "ref_trace = cap_pass_trace(\"\\x00\\n\")[0:100]\n",
    "\n",
    "for i in alphabet:\n",
    "    plt.plot(cap_pass_trace(i)[0:100] - ref_trace)\n",
    "    \n",
    "plt.legend(alphabet)\n",
    "    \n",
    "plt.show()    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "OK great - hopefully you now see one major \"difference\". It should look something like this:\n",
    "    \n",
    "<img src=\"img/spa_password_diffexample.png\" alt=\"SPA with Difference\" width=\"450\"/>\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "What to do now? Let's make this thing *automatically detect* such a large difference. The idea is to define a *metric* that gives us an estimate on the difference between two traces, i.e. you need to write a function returning a single (integer or floating point) value which reflects this notion. Taking your above loop, modify it to print an indicator of how closely this matches your reference trace. Copy and paste your previous solution and print out the value of our metric for each character:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "# Define metric for the difference between two traces\n",
    "def trace_diff(trace1, trace2):\n",
    "    \n",
    "    # FIXME: Your code goes here\n",
    "    return sum(abs(cap_pass_trace(trace1)[0:100] - cap_pass_trace(trace2)[0:100]))\n",
    "\n",
    "# FIXME: Your code goes here\n",
    "alphabet = 'abcdefghijklmnopqrstuvwxyz0123456789'\n",
    "               \n",
    "for i in alphabet:\n",
    "    if(trace_diff(\"h\"+i,\"h\" + \"\\x00\\n\")> 2):\n",
    "       print(i)\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now the easy part - modify your above code to automatically print the correct password character. This should be done with a comparison of the computed metric - based on the printed characters, you should see one that is 'higher' than the others. There is basically two solutions to this:\n",
    "\n",
    "* Compute the metric for all characters and then choose the maximum value\n",
    "* Set a threshold somewhere reasonable (say I might use `25.0` based on one run) and choose the first character for which the metric exceeds the threshold\n",
    "\n",
    "While the first solution is more reliable (the threshold may vary with the measurements or later on with the number of guessed characters), the second one is potentially faster, since we can skip parts of the measurements. If you like, you can try both of them and see what works best for you."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Running a Full Attack"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally - let's finish this off. Rather than attacking a single character, we need to attack each character in sequence.\n",
    "\n",
    "If you go back to the plotting of differences, you can try using the correct first character & wrong second character. The basic idea is exactly the same as before, but now we loop through 5 times (assuming that the password has exactly 5 characters), and just build up the password based on brute-forcing each character."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "49.734375\n",
      "r\n",
      "51.01953125\n",
      "rb\n",
      "51.6015625\n",
      "rb4\n",
      "49.00390625\n",
      "rb4w\n",
      "55.69140625\n",
      "rb4wo\n",
      "Access granted, Welcome!\n",
      "https://perso.telecom-paristech.fr/ukuhne/IWCLQFVAWDB2UHBMA3DITK4AOMFEJTMA/\n"
     ]
    }
   ],
   "source": [
    "guessed_pw = \"\"\n",
    "\n",
    "# FIXME: Your code goes here\n",
    "# Define metric for the difference between two traces\n",
    "def trace_diff(trace1, trace2):\n",
    "    return sum(abs(trace1 - trace2))\n",
    "\n",
    "# FIXME: Your code goes here\n",
    "alphabet = 'abcdefghijklmnopqrstuvwxyz0123456789'\n",
    "\n",
    "ref = cap_pass_trace(\"0x00\\n\")\n",
    "\n",
    "for j in range(5):      \n",
    "    for i in alphabet:\n",
    "        if(trace_diff(cap_pass_trace(guessed_pw+i),ref) > 20):\n",
    "            guessed_pw = guessed_pw + i\n",
    "            print(trace_diff(cap_pass_trace(guessed_pw+i),ref))\n",
    "            ref  = cap_pass_trace(guessed_pw + \"\\x00\\n\")\n",
    "\n",
    "            print(guessed_pw)\n",
    "            break\n",
    "    \n",
    "print (pass_response(guessed_pw))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should get an output that looks like this:\n",
    "\n",
    "    h\n",
    "    h4\n",
    "    h4u\n",
    "    h4uw\n",
    "    h4uwe\n",
    "\n",
    "Only that the real password is not `h4uwe`, but something else. You can test if the final password is correct by asking the device using the function `pass_responce(guessed_pw)`. \n",
    "\n",
    "Did you find the correct password? Congrats. Otherwise check the hints at the end of this notebook."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Breaking a (Really) Secret Password\n",
    "\n",
    "<div class=\"alert alert-block alert-warning\">\n",
    "    This only works with the real ChipWhisperer hardware, not using pre-recorded traces. \n",
    "</div>\n",
    "\n",
    "Once your code is working on the example, let's use it on another instance of the same firmware, where the password has been changed (and obfuscated, so you can't see it using a hexdump of the binary...). Execute the cell below in order to flash the firmware to the target system:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Detected known STMF32: STM32F04xxx\n",
      "Extended erase (0x44), this can take ten seconds or more\n",
      "Attempting to program 12839 bytes at 0x8000000\n",
      "STM32F Programming flash...\n",
      "STM32F Reading flash...\n",
      "Verified flash OK, 12839 bytes\n"
     ]
    }
   ],
   "source": [
    "fw_path = 'hex/secret-passwdcheck-CWNANO.hex'\n",
    "programmer = cw.programmers.STM32FProgrammer\n",
    "cw.program_target(scope, programmer, fw_path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Once this is done, rerun your code and print the system's response."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Troubleshooting\n",
    "### Always get 'h'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Some common problems you might run into - first, if you get an output which keeps guessing the first character:\n",
    "\n",
    "    h\n",
    "    hh\n",
    "    hhh\n",
    "    hhhh\n",
    "    hhhhh\n",
    "\n",
    "Check that when you run the `cap_pass_trace` inside the loop (checking the guessed password), are you updating the prefix of the password? For example, the old version of the code (guessing a single character) looked like this:\n",
    "\n",
    "    trace = cap_pass_trace(c)\n",
    "\n",
    "But that is always sending our first character only! So we need to send the \"known good password so far\". In the example code something like this:\n",
    "   \n",
    "    trace = cap_pass_trace(guessed_pw + c)\n",
    "\n",
    "Where `guessed_pw` progressively grows with the known good start of the password.\n",
    "\n",
    "### Always get 'a'\n",
    "\n",
    "This looks like it's always matching the first character:\n",
    "\n",
    "    h\n",
    "    ha\n",
    "    haa\n",
    "    haaa\n",
    "    haaaa\n",
    "\n",
    "Check that you update the `ref_trace` - if you re-use the original reference trace, you won't be looking at a reference where the first N characters are good, and the remaining characters are bad. An easy way to do this is again using the `guessed_pw` variable and appending a null + newline:\n",
    "\n",
    "    trace = cap_pass_trace(guessed_pw + \"\\x00\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "<small>NO-FUN DISCLAIMER: This material is Copyright (C) NewAE Technology Inc., 2015-2020. ChipWhisperer is a trademark of NewAE Technology Inc., claimed in all jurisdictions, and registered in at least the United States of America, European Union, and Peoples Republic of China.\n",
    "\n",
    "Tutorials derived from our open-source work must be released under the associated open-source license, and notice of the source must be *clearly displayed*. Only original copyright holders may license or authorize other distribution - while NewAE Technology Inc. holds the copyright for many tutorials, the github repository includes community contributions which we cannot license under special terms and **must** be maintained as an open-source release. Please contact us for special permissions (where possible).\n",
    "\n",
    "THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.</small>"
   ]
  }
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