diff --git a/.DS_Store b/.DS_Store
new file mode 100644
index 0000000..8657a99
Binary files /dev/null and b/.DS_Store differ
diff --git a/.gitignore b/.gitignore
index 089865a..1d623c3 100644
--- a/.gitignore
+++ b/.gitignore
@@ -9,3 +9,5 @@ Data/
 >>>>>>> 73c6c9b7133534e9970e82c3c355c6f2e3fd1194
 TestData/020217_right_25_2_export_final.mat
 TrialBanks/
+Controllers/dist
+Controllers/build
\ No newline at end of file
diff --git a/.ipynb_checkpoints/Binary sequence creating-checkpoint.ipynb b/.ipynb_checkpoints/Binary sequence creating-checkpoint.ipynb
new file mode 100644
index 0000000..a5d9bab
--- /dev/null
+++ b/.ipynb_checkpoints/Binary sequence creating-checkpoint.ipynb	
@@ -0,0 +1,7083 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import math\n",
+    "import matplotlib.pyplot as plt\n",
+    "import pickle\n",
+    "import os\n",
+    "from scipy import signal"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib notebook"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 130,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#trialbank_loc = '/Volumes/lab-schaefera/working/warnert/Recordings/190222/2Hz_20Hz_corr_anti_corr_reorder.trialbank'\n",
+    "trialbank_loc = '/Volumes/lab-schaefera/working/warnert/Recordings/190121/full_trialbank.trialbank'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 131,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "trialbank = pickle.Unpickler(open(trialbank_loc, 'rb')).load()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 133,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[4, [{'type': 'Plume', 'onset': 0.1, 'offset': 0.1, 'shatter_frequency': 500.0, 'data_fs': 10000.0, 'data_path': 'Z:/working/marinc/Distance_box/Near_40cm/plume_40cm_180328_9.mat', 'target_max': 1.0}, {'type': 'Anti Plume', 'onset': 0.1, 'offset': 0.1, 'shatter_frequency': 500.0, 'data_fs': 10000.0, 'data_path': 'Z:/working/marinc/Distance_box/Near_40cm/plume_40cm_180328_9.mat', 'target_max': 1.0}, {'type': 'Plume', 'onset': 0.1, 'offset': 0.1, 'shatter_frequency': 500.0, 'data_fs': 10000.0, 'data_path': 'Z:/working/marinc/Distance_box/Far_80cm/plume_80cm_180328_9.mat', 'target_max': 1.0}, {'type': 'Anti Plume', 'onset': 0.1, 'offset': 0.1, 'shatter_frequency': 500.0, 'data_fs': 10000.0, 'data_path': 'Z:/working/marinc/Distance_box/Far_80cm/plume_80cm_180328_9.mat', 'target_max': 1.0}], 'Trial Name']\n"
+     ]
+    }
+   ],
+   "source": [
+    "params = trialbank[0]\n",
+    "print(params)\n",
+    "sampling_rate = 20000"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "def shatter_pulse(sampling_rate, duration, frequency, duty, shatter_frequency, shatter_duty):\n",
+    "\n",
+    "    if shatter_frequency < frequency:\n",
+    "        raise ValueError('Shatter frequency must not be lower than major frequency.')\n",
+    "\n",
+    "    t = np.linspace(0, duration, sampling_rate * duration, endpoint=False)\n",
+    "\n",
+    "    guide_pulse, _ = square_pulse(sampling_rate, duration, frequency, duty)\n",
+    "    shattered_pulse = (np.array(signal.square(2 * np.pi * shatter_frequency * t, duty=shatter_duty)) / 2) + 0.5\n",
+    "\n",
+    "    return guide_pulse * shattered_pulse, t\n",
+    "def square_pulse(sampling_rate, duration, frequency, duty):\n",
+    "    t = np.linspace(0, duration, sampling_rate * duration, endpoint=False)\n",
+    "    return (np.array(signal.square(2 * np.pi * frequency * t, duty=duty)) / 2) + 0.5, t\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "KeyError",
+     "evalue": "'fromDuty'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-12-3d77ed855d92>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mif\u001b[0m \u001b[0mparams\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'fromDuty'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m     \u001b[0mfrequency\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mparams\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'frequency'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m     \u001b[0mduty\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mparams\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'duty'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0;32massert\u001b[0m \u001b[0mparams\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'fromValues'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mKeyError\u001b[0m: 'fromDuty'"
+     ]
+    }
+   ],
+   "source": [
+    "if params['fromDuty']:\n",
+    "    frequency = params['frequency']\n",
+    "    duty = params['duty']\n",
+    "else:\n",
+    "    assert params['fromValues']\n",
+    "    frequency = 1.0 / (params['pulse_width'] + params['pulse_delay'])\n",
+    "    duty = params['pulse_width'] / (params['pulse_width'] + params['pulse_delay'])\n",
+    "\n",
+    "if params['fromLength']:\n",
+    "    duration = params['length']\n",
+    "else:\n",
+    "    assert params['fromRepeats']\n",
+    "    if params['fromValues']:\n",
+    "        duration = (params['pulse_width'] + params['pulse_delay']) * params['repeats']\n",
+    "    else:\n",
+    "        assert params['fromDuty']\n",
+    "        duration = (1.0 / frequency) * params['repeats']\n",
+    "\n",
+    "if params['isClean']:\n",
+    "    pulse, t = square_pulse(sampling_rate, duration, frequency, duty)\n",
+    "else:\n",
+    "    assert params['isShatter']\n",
+    "    pulse, t = shatter_pulse(sampling_rate, duration, frequency, duty, params['shatter_frequency'],\n",
+    "                             params['shatter_duty'])\n",
+    "print(pulse.shape)\n",
+    "# Attach onset and offset\n",
+    "onset = np.zeros(int(sampling_rate * params['onset']))\n",
+    "offset = np.zeros(int(sampling_rate * params['offset']))\n",
+    "\n",
+    "pulse = np.hstack((onset, pulse, offset))\n",
+    "\n",
+    "total_length = round(duration + params['onset'] + params['offset'], 10) # N.B. Have to round here due to floating point representation problem\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(2000,) (44000,) (2000,)\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(onset.shape, pulse.shape, offset.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2.2\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(total_length)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/warnert/miniconda3/envs/local/lib/python3.7/site-packages/ipykernel_launcher.py:1: DeprecationWarning: object of type <class 'float'> cannot be safely interpreted as an integer.\n",
+      "  \"\"\"Entry point for launching an IPython kernel.\n"
+     ]
+    }
+   ],
+   "source": [
+    "output =pulse, np.linspace(0, total_length, total_length*sampling_rate)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\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('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",
+       "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 = $('<div/>');\n",
+       "    this._root_extra_style(this.root)\n",
+       "    this.root.attr('style', 'display: inline-block');\n",
+       "\n",
+       "    $(parent_element).append(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen =  function () {\n",
+       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+       "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
+       "            fig.send_message(\"refresh\", {});\n",
+       "        }\n",
+       "\n",
+       "    this.imageObj.onload = function() {\n",
+       "            if (fig.image_mode == 'full') {\n",
+       "                // Full images could contain transparency (where diff images\n",
+       "                // almost always do), so we need to clear the canvas so that\n",
+       "                // there is no ghosting.\n",
+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "            }\n",
+       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "        };\n",
+       "\n",
+       "    this.imageObj.onunload = function() {\n",
+       "        fig.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\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",
+       "\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",
+       "\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]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\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",
+       "    {\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.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",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\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",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\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",
+       "    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",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\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",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\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,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"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\";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 = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\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.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('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",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\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",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        event.shiftKey = false;\n",
+       "        // Send a \"J\" for go to next cell\n",
+       "        event.which = 74;\n",
+       "        event.keyCode = 74;\n",
+       "        manager.command_mode();\n",
+       "        manager.handle_keydown(event);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\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('matplotlib', mpl.mpl_figure_comm);\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"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x1c1dcb2c88>]"
+      ]
+     },
+     "execution_count": 50,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "plt.plot(output[1], output[0])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "8\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "print(len(bin(255)[2:]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "00000000\n",
+      "00000001\n",
+      "00000010\n",
+      "00000011\n",
+      "00000100\n",
+      "00000101\n",
+      "00000110\n",
+      "00000111\n",
+      "00001000\n",
+      "00001001\n",
+      "00001010\n",
+      "00001011\n",
+      "00001100\n",
+      "00001101\n",
+      "00001110\n",
+      "00001111\n",
+      "00010000\n",
+      "00010001\n",
+      "00010010\n",
+      "00010011\n",
+      "00010100\n",
+      "00010101\n",
+      "00010110\n",
+      "00010111\n",
+      "00011000\n",
+      "00011001\n",
+      "00011010\n",
+      "00011011\n",
+      "00011100\n",
+      "00011101\n",
+      "00011110\n",
+      "00011111\n",
+      "00100000\n",
+      "00100001\n",
+      "00100010\n",
+      "00100011\n",
+      "00100100\n",
+      "00100101\n",
+      "00100110\n",
+      "00100111\n",
+      "00101000\n",
+      "00101001\n",
+      "00101010\n",
+      "00101011\n",
+      "00101100\n",
+      "00101101\n",
+      "00101110\n",
+      "00101111\n",
+      "00110000\n",
+      "00110001\n",
+      "00110010\n",
+      "00110011\n",
+      "00110100\n",
+      "00110101\n",
+      "00110110\n",
+      "00110111\n",
+      "00111000\n",
+      "00111001\n",
+      "00111010\n",
+      "00111011\n",
+      "00111100\n",
+      "00111101\n",
+      "00111110\n",
+      "00111111\n",
+      "01000000\n",
+      "01000001\n",
+      "01000010\n",
+      "01000011\n",
+      "01000100\n",
+      "01000101\n",
+      "01000110\n",
+      "01000111\n",
+      "01001000\n",
+      "01001001\n",
+      "01001010\n",
+      "01001011\n",
+      "01001100\n",
+      "01001101\n",
+      "01001110\n",
+      "01001111\n",
+      "01010000\n",
+      "01010001\n",
+      "01010010\n",
+      "01010011\n",
+      "01010100\n",
+      "01010101\n",
+      "01010110\n",
+      "01010111\n",
+      "01011000\n",
+      "01011001\n",
+      "01011010\n",
+      "01011011\n",
+      "01011100\n",
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+      "01100111\n",
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+      "01101011\n",
+      "01101100\n",
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+      "01101110\n",
+      "01101111\n",
+      "01110000\n",
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+      "01110010\n",
+      "01110011\n",
+      "01110100\n",
+      "01110101\n",
+      "01110110\n",
+      "01110111\n",
+      "01111000\n",
+      "01111001\n",
+      "01111010\n",
+      "01111011\n",
+      "01111100\n",
+      "01111101\n",
+      "01111110\n",
+      "01111111\n",
+      "10000000\n",
+      "10000001\n",
+      "10000010\n",
+      "10000011\n",
+      "10000100\n",
+      "10000101\n",
+      "10000110\n",
+      "10000111\n",
+      "10001000\n",
+      "10001001\n",
+      "10001010\n",
+      "10001011\n",
+      "10001100\n",
+      "10001101\n",
+      "10001110\n",
+      "10001111\n",
+      "10010000\n",
+      "10010001\n",
+      "10010010\n",
+      "10010011\n",
+      "10010100\n",
+      "10010101\n",
+      "10010110\n",
+      "10010111\n",
+      "10011000\n",
+      "10011001\n",
+      "10011010\n",
+      "10011011\n",
+      "10011100\n",
+      "10011101\n",
+      "10011110\n",
+      "10011111\n",
+      "10100000\n",
+      "10100001\n",
+      "10100010\n",
+      "10100011\n",
+      "10100100\n",
+      "10100101\n",
+      "10100110\n",
+      "10100111\n",
+      "10101000\n",
+      "10101001\n",
+      "10101010\n",
+      "10101011\n",
+      "10101100\n",
+      "10101101\n",
+      "10101110\n",
+      "10101111\n",
+      "10110000\n",
+      "10110001\n",
+      "10110010\n",
+      "10110011\n",
+      "10110100\n",
+      "10110101\n",
+      "10110110\n",
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+      "10111000\n",
+      "10111001\n",
+      "10111010\n",
+      "10111011\n",
+      "10111100\n",
+      "10111101\n",
+      "10111110\n",
+      "10111111\n",
+      "11000000\n",
+      "11000001\n",
+      "11000010\n",
+      "11000011\n",
+      "11000100\n",
+      "11000101\n",
+      "11000110\n",
+      "11000111\n",
+      "11001000\n",
+      "11001001\n",
+      "11001010\n",
+      "11001011\n",
+      "11001100\n",
+      "11001101\n",
+      "11001110\n",
+      "11001111\n",
+      "11010000\n",
+      "11010001\n",
+      "11010010\n",
+      "11010011\n",
+      "11010100\n",
+      "11010101\n",
+      "11010110\n",
+      "11010111\n",
+      "11011000\n",
+      "11011001\n",
+      "11011010\n",
+      "11011011\n",
+      "11011100\n",
+      "11011101\n",
+      "11011110\n",
+      "11011111\n",
+      "11100000\n",
+      "11100001\n",
+      "11100010\n",
+      "11100011\n",
+      "11100100\n",
+      "11100101\n",
+      "11100110\n",
+      "11100111\n",
+      "11101000\n",
+      "11101001\n",
+      "11101010\n",
+      "11101011\n",
+      "11101100\n",
+      "11101101\n",
+      "11101110\n",
+      "11101111\n",
+      "11110000\n",
+      "11110001\n",
+      "11110010\n",
+      "11110011\n",
+      "11110100\n",
+      "11110101\n",
+      "11110110\n",
+      "11110111\n",
+      "11111000\n",
+      "11111001\n",
+      "11111010\n",
+      "11111011\n",
+      "11111100\n",
+      "11111101\n",
+      "11111110\n",
+      "11111111\n"
+     ]
+    }
+   ],
+   "source": [
+    "bin_numbers = []\n",
+    "for i in range(256):\n",
+    "    bin_num = bin(i)[2:]\n",
+    "    while len(bin_num) < 8:\n",
+    "        bin_num = '0'+ bin_num\n",
+    "    print(bin_num)\n",
+    "    bin_numbers.append(bin_num)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 161,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "500.0\n",
+      "1\n",
+      "1\n",
+      "0\n",
+      "0\n",
+      "1\n",
+      "0\n",
+      "0\n",
+      "0\n"
+     ]
+    }
+   ],
+   "source": [
+    "bin_width = 0.05\n",
+    "sf = 10000\n",
+    "shatter_frequency = 500\n",
+    "plume = []\n",
+    "print(bin_width*sf)\n",
+    "for i in bin_numbers[200]:\n",
+    "    print(int(i))\n",
+    "    plume.extend([int(i) for j in range(int(sf*bin_width))])\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 162,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x1c30c0bfd0>]"
+      ]
+     },
+     "execution_count": 162,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "plt.plot(pulse)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 99,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.4\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/warnert/miniconda3/envs/local/lib/python3.7/site-packages/ipykernel_launcher.py:6: DeprecationWarning: object of type <class 'float'> cannot be safely interpreted as an integer.\n",
+      "  \n"
+     ]
+    },
+    {
+     "ename": "ValueError",
+     "evalue": "operands could not be broadcast together with shapes (4000,) (8000,) ",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-99-6ac669f5e748>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0mt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlinspace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mduration\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msampling_rate\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mduration\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0mpulse\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msignal\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msquare\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpi\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mshatter_frequency\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mduty\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplume\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m0.5\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      8\u001b[0m \u001b[0;31m#pulse = (np.array(signal.square(2 * np.pi * 500 * t, duty=resampled)) / 2) + 0.5\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/miniconda3/envs/local/lib/python3.7/site-packages/scipy/signal/waveforms.py\u001b[0m in \u001b[0;36msquare\u001b[0;34m(t, duty)\u001b[0m\n\u001b[1;32m    138\u001b[0m     \"\"\"\n\u001b[1;32m    139\u001b[0m     \u001b[0mt\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mw\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0masarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0masarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mduty\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 140\u001b[0;31m     \u001b[0mw\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0masarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mw\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mt\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    141\u001b[0m     \u001b[0mt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0masarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mw\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    142\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mchar\u001b[0m \u001b[0;32min\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m'fFdD'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mValueError\u001b[0m: operands could not be broadcast together with shapes (4000,) (8000,) "
+     ]
+    }
+   ],
+   "source": [
+    "duration = len(pulse) / sf\n",
+    "print(duration)\n",
+    "sampling_rate = 20000\n",
+    "resampled = signal.resample(plume, len(plume)*int(sampling_rate / sf))\n",
+    "\n",
+    "t = np.linspace(0, duration, sampling_rate*duration)\n",
+    "pulse = (np.array(signal.square(2*np.pi*shatter_frequency * t, duty = plume))/2) + 0.5\n",
+    "#pulse = (np.array(signal.square(2 * np.pi * 500 * t, duty=resampled)) / 2) + 0.5\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 106,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "def plume_pulse(sampling_rate, params, plume):\n",
+    "    #plume = plume\n",
+    "#    plume = plume['plume'][0]\n",
+    "\n",
+    "    # resample to match sampling rate\n",
+    "    resampled = signal.resample(plume, int(len(plume)*(sampling_rate / params['data_fs'])))\n",
+    "    # zero out negative values\n",
+    "    resampled[resampled < 0] = 0\n",
+    "    # normalise\n",
+    "    resampled = (resampled - min(resampled)) / (max(resampled) - min(resampled))\n",
+    "    resampled = resampled * params['target_max']\n",
+    "\n",
+    "    duration = len(resampled) / sampling_rate\n",
+    "    t = np.linspace(0, duration, sampling_rate * duration)\n",
+    "    pulse = (np.array(signal.square(2 * np.pi * params['shatter_frequency'] * t, duty=resampled)) / 2) + 0.5\n",
+    "    print(len(pulse))\n",
+    "\n",
+    "    # Attach onset and offset\n",
+    "    onset = np.zeros(int(sampling_rate * params['onset']))\n",
+    "    offset = np.zeros(int(sampling_rate * params['offset']))\n",
+    "\n",
+    "    total_length = round(params['onset'] + params['offset'] + len(pulse) / sampling_rate, 10)\n",
+    "    return np.hstack((onset, pulse, offset)), np.linspace(0, total_length, total_length * sampling_rate)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 165,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "4000\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/warnert/miniconda3/envs/local/lib/python3.7/site-packages/ipykernel_launcher.py:15: DeprecationWarning: object of type <class 'float'> cannot be safely interpreted as an integer.\n",
+      "  from ipykernel import kernelapp as app\n",
+      "/Users/warnert/miniconda3/envs/local/lib/python3.7/site-packages/ipykernel_launcher.py:24: DeprecationWarning: object of type <class 'float'> cannot be safely interpreted as an integer.\n"
+     ]
+    }
+   ],
+   "source": [
+    "params['shatter_frequency'] = 500\n",
+    "params['onset'] = 0\n",
+    "params['offset'] = 0\n",
+    "test = plume_pulse(10000, params, plume)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 167,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\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('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",
+       "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 = $('<div/>');\n",
+       "    this._root_extra_style(this.root)\n",
+       "    this.root.attr('style', 'display: inline-block');\n",
+       "\n",
+       "    $(parent_element).append(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen =  function () {\n",
+       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+       "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
+       "            fig.send_message(\"refresh\", {});\n",
+       "        }\n",
+       "\n",
+       "    this.imageObj.onload = function() {\n",
+       "            if (fig.image_mode == 'full') {\n",
+       "                // Full images could contain transparency (where diff images\n",
+       "                // almost always do), so we need to clear the canvas so that\n",
+       "                // there is no ghosting.\n",
+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "            }\n",
+       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "        };\n",
+       "\n",
+       "    this.imageObj.onunload = function() {\n",
+       "        fig.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\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",
+       "\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",
+       "\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]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\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",
+       "    {\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.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",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\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",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\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",
+       "    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",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\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",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\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,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"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\";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 = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\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.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('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",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\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",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        event.shiftKey = false;\n",
+       "        // Send a \"J\" for go to next cell\n",
+       "        event.which = 74;\n",
+       "        event.keyCode = 74;\n",
+       "        manager.command_mode();\n",
+       "        manager.handle_keydown(event);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\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('matplotlib', mpl.mpl_figure_comm);\n",
+       "}\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
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3dYzAHe8ty3s0xkQBCCijP1NAFphgGBCALqNAAT8xv4mAK0wQDAhAN1GAAJ+Y38TgFYYIJgQgG4jAAG/sb8JQCsMEEwIQLcRgIDf2N8EoBUGCCYEoNsIQMBv7G8C0AoDBBMC0G0EIOA39jcBaIUBggkB6DYCEPAb+5sAtMIAwYQAdBsBCPiN/U0AWmGAYEIAuo0ABPzG/iYArTBAMOkKwGf+9cGwTwV90Lb3g8gE4OJl/xT2qQCDjv1NAFphgGBCALqNAAT8xv4mAK0wQDAhAN3WMwD/8/13wz6dAUEAIsrY354FYHl5uTIzMxWPx5WTk6N169Yd9f67d+/WvHnzNGrUKMXjcWVlZWnlypW9fj4GCCYEoNsIQMBv7G+PArC6ulqxWEwVFRVqbGxUUVGR0tLS1NzcnPT+nZ2duuCCC/TVr35Vr7zyipqamvRv//ZveuONN3r9nAwQTAhAtxGAgN/Y3x4F4OTJk1VQUJBwW1ZWlkpKSpLe/5FHHtEXvvAFffTRR31+TgYIJgSg2whAwG/sb08CsLOzUykpKaqpqUm4vbCwULm5uUkfc8UVV2jWrFmaM2eOTj/9dJ1zzjkqKyvT/v37e/28DBBMCEC3EYCA39jfngRga2urgiBQbW1twu1lZWUaP3580sdMmDBB8XhcN998s37729+qqqpKp5xyiu677z7j83R0dKi9vb37aGlpifwAIbmrCECnRSEA//HRyQQgIosA9CwA6+rqEm5fuHChJkyYkPQx48aN05lnnpnwHb+HHnpIo0aNMj5PaWmpgiA44ojyACE5AtBtBCDgNwLQkwDsy4+Ac3NzNW3atITbVq1apSAI1NnZmfQxfAcQvUUAuo0ABPxGAHoSgNKhN4HMnTs34bbs7Gzjm0DuuusuZWRk6MCBA923/fCHP9To0aN7/ZwMEEwIQLcRgIDf2N8eBWDXx8BUVlaqsbFRxcXFSktLU1NTkyRp9uzZCTG4bds2feYzn9H8+fO1adMmvfDCCzr99NO1cOHCXj8nAwQTAtBtBCDgN/a3RwEoHfog6IyMDKWmpionJ0dr167t/lpeXp7y8/MT7l9XV6cLL7xQ8XhcX/jCF3gXMPpNVwD+ZNXisE8FfbB7z3uRCcAHlt0c9qkAg4797VkADjYGCCYEoNsIQMBv7G8C0AoDBBMC0G09A3DnrtawT2dAEICIMvY3AWiFAYIJAeg2AhDwG/ubALTCAMGEAHQbAQj4jf1NAFphgGBCALqNAAT8xv4mAK0wQDC5mgB0GgEI+I39TQBaYYBgQgC6jQAE/Mb+JgCtMEAwIQDdRgACfmN/E4BWGCCYEIBuIwABv7G/CUArDBBMCEC3EYCA39jfBKAVBggmXQH445UPhH0q6INdbTujE4DPfCPsUwEGHfubALTCAMGEAHQbAQj4jf1NAFphgGBCALqtZwC+v3tH2KczIAhARBn7mwC0wgDBhAB0GwEI+I39TQBaYYBgQgC6jQAE/Mb+JgCtMEAwIQDdRgACfmN/E4BWGCCYEIBuIwABv7G/CUArDBBMCEC3RSEAv7GUAER0sb8JQCsMEEwIQLcRgIDf2N8EoBUGCCYEoNsIQMBv7G8C0AoDBBMC0G0EIOA39jcBaIUBggkB6DYCEPAb+5sAtMIAwaQrAJ9eWRb2qaAP3t+9IzIBuOiZfwz7VIBBx/4mAK0wQDAhAN1GAAJ+Y38TgFYYIJgQgG7rGYC72naGfToDggBElLG/CUArDBBMCEC3EYCA39jfBKAVBggmBKDbCEDAb+xvAtAKAwQTAtBtBCDgN/Y3AWiFAYIJAeg2AhDwG/ubALTCAMFk5tJzCUCHRSIAH72QAERksb8JQCsMEEwIQLcRgIDf2N8EoBUGCCYEoNsIQMBv7G8C0AoDBBMC0G0EIOA39jcBaIUBgklXAD71wsKwTwV9sHNXa4QCMD/sUwEGHfubALTCAMGEAHQbAQj4jf1NAFphgGBCALqtZwDu3vNe2KczIAhARBn7mwC0wgDBhAB0GwEI+I39TQBaYYBgQgC6jQAE/Mb+JgCtMEAwIQDdRgACfmN/E4BWGCCYEIBuIwABv7G/CUArDBBMCEC3EYCA39jfBKAVBggmMx8jAF0WhQC8mQBEhLG/CUArDBBMCEC3EYCA39jfBKAVBggmBKDbCEDAb+xvAtAKAwQTAtBtBCDgN/Y3AWiFAYJJVwA++cL9YZ8K+uA/3383MgG48Cf5YZ8KMOjY3wSgFQYIJgSg2whAwG/sbwLQCgMEEwLQbT0DsG3vB2GfzoAgABFl7G8C0AoDBBMC0G0EIOA39jcBaIUBggkB6DYCEPAb+5sAtMIAwYQAdBsBCPiN/U0AWmGAYEIAuo0ABPzG/iYArTBAMCEA3UYAAn5jfxOAVhggmFyzlAB0WSQCcOlFBCAii/1NAFphgGBCALqNAAT8xv4mAK0wQDAhAN1GAAJ+Y38TgFYYIJh0BeATvyAAXbTjvW0RCsCbwj4VYNCxvwlAKwwQTAhAtxGAgN/Y354FYHl5uTIzMxWPx5WTk6N169b16nFVVVUKgkAzZ878VM/HAMGEAHRbzwDc8+HusE9nQBCAiDL2t0cBWF1drVgspoqKCjU2NqqoqEhpaWlqbm4+6uOampo0duxYTZ06lQBEvyEA3UYAAn5jf3sUgJMnT1ZBQUHCbVlZWSopKTE+Zv/+/fryl7+sxx9/XPn5+QQg+g0B6DYCEPAb+9uTAOzs7FRKSopqamoSbi8sLFRubq7xcffcc4+uueYaSepVAHZ0dKi9vb37aGlpifwAITkC0G0EIOA3AtCTAGxtbVUQBKqtrU24vaysTOPHj0/6mFdeeUVjx47Ve++9J6l3AVhaWqogCI44ojxASI4AdBsBCPiNAPQsAOvq6hJuX7hwoSZMmHDE/ffs2aPMzEytWrWq+za+A4j+RAC6jQAE/EYAehKAn/ZHwPX19QqCQCkpKd3Hcccdp+OOO04pKSl65513evW8DBBMCEC3EYCA39jfngSgdOhNIHPnzk24LTs7O+mbQPbt26eGhoaEY+bMmbr44ovV0NCgzs7OXj0nAwST/04AOi0KAfhPBCAijP3tUQB2fQxMZWWlGhsbVVxcrLS0NDU1NUmSZs+efdR3BPMuYPQnAtBtBCDgN/a3RwEoHfog6IyMDKWmpionJ0dr167t/lpeXp7y8/ONjyUA0Z8IQLcRgIDf2N+eBeBgY4Bg0hWAlc/fF/apoA9adzZFJgD/149nh30qwKBjfxOAVhggmBCAbiMAAb+xvwlAKwwQTAhAt/UMwA//vCfs0xkQBCCijP1NAFphgGBCALqNAAT8xv4mAK0wQDAhAN1GAAJ+Y38TgFYYIJgQgG4jAAG/sb8JQCsMEEwIQLcRgIDf2N8EoBUGCCYEoNsIQMBv7G8C0AoDBBMC0G0EIOA39jcBaIUBggkB6LZIBOCjBCCii/1NAFphgGBCALqNAAT8xv4mAK0wQDD5JADvDftU0Actf9oaoQC8MexTAQYd+5sAtMIAwYQAdBsBCPiN/U0AWmGAYEIAuq1nAP5534dhn86AIAARZexvAtAKAwQTAtBtBCDgN/Y3AWiFAYIJAeg2AhDwG/ubALTCAMGEAHQbAQj4jf1NAFphgGBCALqNAAT8xv4mAK0wQDAhAN1GAAJ+Y38TgFYYIJgQgG4jAAG/sb8JQCsMEEwIQLcRgIDf2N8EoBUGCCZfWzqJAHRYFALwlqVfIgARWexvAtAKAwQTAtBtBCDgN/Y3AWiFAYJJVwBW/L97wj4V9MG2HZsjE4D3/3hW2KcCDDr2NwFohQGCCQHoNgIQ8Bv7mwC0wgDBhAB0W88A3Nfx57BPZ0AQgIgy9jcBaIUBggkB6DYCEPAb+5sAtMIAwYQAdBsBCPiN/U0AWmGAYEIAuo0ABPzG/iYArTBAMCEA3UYAAn5jfxOAVhggmBCAbiMAAb+xvwlAKwwQTAhAtxGAgN/Y3wSgFQYIJgSg2whAwG/sbwLQCgMEEwLQbQQg4Df2NwFohQGCyScB+J2wTwV9sG37HyMTgPf9+Othnwow6NjfBKAVBggmBKDbCEDAb+xvAtAKAwQTAtBtPQOws7Mj7NMZEAQgooz9TQBaYYBgQgC6jQAE/Mb+JgCtMEAwIQDdRgACfmN/E4BWGCCYEIBuIwABv7G/CUArDBBMCEC3EYCA39jfBKAVBggmBKDbCEDAb+xvAtAKAwQTAtBtBCDgN/Y3AWiFAYIJAeg2AhDwG/ubALTCAMGEAHQbAQj4jf1NAFphgGDydwSg06IQgHOW/jcCEJHF/iYArTBAMOkKwKU//59hnwr6oKl1U3QC8Okbwj4VYNCxvwlAKwwQTAhAtxGAgN/Y3wSgFQYIJgSg23oG4McffxT26QwIAhBRxv4mAK0wQDAhAN1GAAJ+Y38TgFYYIJgQgG4jAAG/sb8JQCsMEEwIQLcRgIDf2N8EoBUGCCYEoNsIQMBv7G8C0AoDBBMC0G0EIOA39jcBaIUBggkB6DYCEPAb+5sAtMIAwYQAdBsBCPiN/U0AWmGAYEIAuo0ABPzG/vYsAMvLy5WZmal4PK6cnBytW7fOeN/HHntMU6ZM0cknn6yTTz5Z06ZN02uvvfapno8BggkB6DYCEPAb+9ujAKyurlYsFlNFRYUaGxtVVFSktLQ0NTc3J73/17/+dZWXl6u+vl5vvfWWvvGNbyg9PV3vvvtur5+TAYLJJwF4d9ingj7Y8u5bkQnAe5++PuxTAQYd+9ujAJw8ebIKCgoSbsvKylJJSUmvHr9//36NGDFCTz/9dK+fkwGCCQHoNgIQ8Bv725MA7OzsVEpKimpqahJuLywsVG5ubq9+jT179mjYsGH6xS9+YbxPR0eH2tvbu4+WlpbIDxCSIwDd1jMAD+zfH/bpDAgCEFFGAHoSgK2trQqCQLW1tQm3l5WVafz48b36NebNm6ezzz5b+/btM96ntLRUQRAccUR5gJAcAeg2AhDwGwHoWQDW1dUl3L5w4UJNmDDhmI9/8MEH9dnPfla/+93vjno/vgOI3iIA3UYAAn4jAD0JQJsfAX/ve99Tenq6Xn/99U/9vAwQTAhAtxGAgN/Y354EoHToTSBz585NuC07O/uobwL57ne/q5NOOknr16/v03MyQDAhAN1GAAJ+Y397FIBdHwNTWVmpxsZGFRcXKy0tTU1NTZKk2bNnJ8Tggw8+qNTUVC1fvlw7duzoPvbu3dvr52SAYEIAuo0ABPzG/vYoAKVDHwSdkZGh1NRU5eTkaO3atd1fy8vLU35+fvc/Z2RkJH1DR2lpaa+fjwGCCQHoNgIQ8Bv727MAHGwMEEwIQLcRgIDf2N8EoBUGCCYEoNsIQMBv7G8C0AoDBJO/X3qeJj41UY8+d1fYp4I+2LztTe8D8NalX/5rAF4X9qkAg479TQBaYYBgQgC6jQAE/Mb+JgCtMEAwIQDd1jMAfUUAIsrY3wSgFQYIJgSg2whAwG/sbwLQCgMEEwLQbQQg4Df2NwFohQGCCQHoNgIQ8Bv7mwC0wgDBhAB0GwEI+I39TQBaYYBgQgC6jQAE/Mb+JgCtMEAwIQDdRgACfmN/E4BWGCCYEIBuIwABv7G/CUArDBBMCEC3EYCA39jfBKAVBggmBKDbCEDAb+xvAtAKAwST7gCsKQn7VNAHbzc3eB+At/01AEufIgARPexvAtAKAwQTAtBtBCDgN/Y3AWiFAYIJAeg2AhDwG/ubALTCAMGEAHQbAQj4jf1NAFphgGBCALqNAAT8xv4mAK0wQDAhAN1GAAJ+Y38TgFYYIJgQgG4jAAG/sb8JQCsMEEwIQLcRgIDf2N8EoBUGCCYEoNsIQMBv7G8C0AoDBBMC0G0EIOA39jcBaIUBggkB6DYCEPAb+5sAtMIAwaQrAB8mAJ20qel3kQnAe566NuxTAQYd+5sAtMIAweQfCECnRSMApxCAiCz2NwFohQGCCQHotq4APPfJc8I+lQFDACLK2N8EoBUGCCYEoNsIQMBv7EZy+1AAABEKSURBVG8C0AoDBBMC0G0EIOA39jcBaIUBggkB6DYCEPAb+5sAtMIAwYQAdBsBCPiN/U0AWmGAYEIAuo0ABPzG/iYArTBAMCEA3UYAAn5jfxOAVhggmBCAbiMAAb+xvwlAKwwQTAhAtxGAgN/Y3wSgFQYIJgSg2whAwG/sbwLQCgMEk+4AXLEg7FNBH2xqqo9MAH7nqX8I+1SAQcf+JgCtMEAwIQDdRgACfmN/E4BWGCCYEIBu6wrASQQg4CX2NwFohQGCCQHoNgIQ8Bv7mwC0wgDBhAB0GwEI+I39TQBaYYBgQgC6jQAE/Mb+JgCtMEAwIQDdRgACfmN/E4BWGCCYEIBuIwABv7G/CUArDBBMCEC3EYCA39jfBKAVBggmBKDbCEDAb+xvAtAKAwQTAtBtBCDgN/Y3AWiFAYJJVwCWr/gfYZ8K+uAPWzZEKAD/PuxTAQYd+5sAtMIAwYQAdBsBCPiN/U0AWmGAYHLt0v9CADqsKwDP8zgACwhARBj7mwC0wgDBhAB0GwEI+I39TQBaYYBgQgC6jQAE/Mb+JgCtMEAwIQDdRgACfmN/E4BWGCCYEIBuIwABv7G/CUArDBBMCEC3EYCA39jfBKAVBggmBKDbCEDAb+xvzwKwvLxcmZmZisfjysnJ0bp16456/+XLlys7O1upqanKzs5WTU3Np3o+BggmBKDbCEDAb+xvjwKwurpasVhMFRUVamxsVFFRkdLS0tTc3Jz0/nV1dUpJSdGiRYv01ltvadGiRTrhhBP06quv9vo5GSCYEIBuIwABv7G/PQrAyZMnq6CgIOG2rKwslZSUJL3/tddeq+nTpyfcdvnll+v666/v9XMyQDAhAN1GAAJ+Y397EoCdnZ1KSUk54ke4hYWFys3NTfqYM888U0uWLEm4bcmSJTrrrLOMz9PR0aH29vbuo6WlJfIDhOS6AvDvlk7SLUu/xOHY8Y+PTo5MAM54bGLov98cHEc7lv787n6ffwLQkwBsbW1VEASqra1NuL2srEzjx49P+phYLKZly5Yl3LZs2TKlpqYan6e0tFRBEBxxRHmAkNw3lh4KCA63j6mVXwx7lAbMnY9PD/33l4OjN8ddT1zT7/NPAHoWgHV1dQm3L1y4UBMmTEj6mFgspmeffTbhtmeeeUbxeNz4PHwHEL315juva+FP8nX/j2dxOHz8sm7ZsV9sR23bsVkPLrsl9N9jDo5jHT9fU9Hv808AehKAg/Uj4MMxQAAAuIf97UkASofeBDJ37tyE27Kzs4/6JpArrrgi4bbp06fzJhAAADzH/vYoALs+BqayslKNjY0qLi5WWlqampqaJEmzZ89OiMHa2lqlpKRo8eLFeuutt7R48WI+BgYAgAhgf3sUgNKhD4LOyMhQamqqcnJytHbt2u6v5eXlKT8/P+H+P/vZzzRhwgTFYjFlZWVpxYoVn+r5GCAAANzD/vYsAAcbAwQAgHvY3wSgFQYIAAD3sL8JQCsMEAAA7mF/E4BWGCAAANzD/iYArTBAAAC4h/1NAFphgAAAcA/7mwC0wgABAOAe9jcBaIUBAgDAPexvAtAKAwQAgHvY3wSgFQYIAAD3sL8JQCttbW0KgkAtLS1qb2/n4ODg4ODgcOBoaWlREARqa2sLOyVCQwBa6BogDg4ODg4ODveOlpaWsFMiNASghQMHDqilpUVtbW0D9qcTX7+7yPW5f/h+jVyf+4fv1+j79Q3kNba1tamlpUUHDhwIOyVCQwAOUe3tfv/9BK7Pfb5fI9fnPt+v0ffrk6JxjWEhAIco34ee63Of79fI9bnP92v0/fqkaFxjWAjAIcr3oef63Of7NXJ97vP9Gn2/Pika1xgWAnCI6ujoUGlpqTo6OsI+lQHB9bnP92vk+tzn+zX6fn1SNK4xLAQgAABAxBCAAAAAEUMAAgAARAwBCAAAEDEEIAAAQMQQgENQeXm5MjMzFY/HlZOTo3Xr1oV9Sr1SWlp6xP9mZ+TIkd1fP3jwoEpLSzV69GgNGzZMeXl5evPNNxN+jV27dunGG2/USSedpJNOOkk33nijdu/ePdiXIklau3atZsyYodGjRysIAj333HMJX++v69m4caNyc3M1bNgwjRkzRvfdd58OHjw44NcnHfsa8/Pzj3hNL7zwwoT7dHR0aP78+Tr11FM1fPhwXXXVVUf875Wam5s1Y8YMDR8+XKeeeqq++c1vqrOzc8Cvb9GiRbrgggv0mc98RqeddppmzpypP/zhDwNy/mvWrFFOTo7i8bg+//nP65FHHhkS15eXl3fEa3jdddcl3GeozunDDz+sc889VyNGjNCIESN00UUXadWqVd1fd/m163Ksa3T59Utm0aJFCoJARUVF3bf58Dq6iAAcYqqrqxWLxVRRUaHGxkYVFRUpLS1Nzc3NYZ/aMZWWluqcc87Rjh07uo+dO3d2f33x4sUaMWKEVqxYoYaGBl133XUaPXq09uzZ032f6dOna+LEiaqrq1NdXZ0mTpyoGTNmhHE5WrVqlb797W9rxYoVSeOoP66nvb1dI0eO1PXXX6+GhgatWLFCI0aM0Pe///0hcY35+fmaPn16wmv6wQcfJNynoKBAY8eO1erVq7VhwwZ95Stf0Xnnnaf9+/dLkvbv36+JEyfqK1/5ijZs2KDVq1drzJgxmj9//oBf3+WXX64nn3xSb775pt544w1deeWVOuuss/Thhx/26/lv2bJFw4cPV1FRkRobG1VRUaFYLKbly5eHfn15eXmaM2dOwmvY1taW8OsM1Tl9/vnntXLlSm3atEmbNm3S3XffrVgs1v0HLZdfu95eo8uv3+H+/d//XZmZmZo0aVJCAPrwOrqIABxiJk+erIKCgoTbsrKyVFJSEtIZ9V5paanOO++8pF87ePCgRo0apcWLF3ff1tHRofT0dD366KOSpMbGRgVBoFdffbX7PuvXr1cQBEd8V2OwHR5H/XU9Dz/8sNLT0xM+4+qBBx7QmDFjBv1P56YAnDlzpvExbW1tisViqq6u7r6ttbVVxx9/vH75y19KOhSZxx9/vFpbW7vvU1VVpXg8Pugf7rpz504FQaC1a9f26/kvWLBAWVlZCc9122236aKLLhroS0pw+PVJhwKi57I9nGtz+tnPflaPP/64d69dT13XKPnz+u3du1fjxo3T6tWrE67J59dxqCMAh5DOzk6lpKSopqYm4fbCwkLl5uaGdFa9V1paquHDh2v06NHKzMzUddddp82bN0uSNm/erCAItGHDhoTHXH311brpppskSZWVlUpPTz/i101PT9cTTzwx8BdwFIfHUX9dz+zZs3X11VcnfH3Dhg0KgkBbtmzp78s4KlMApqen67TTTtO4ceN0yy236E9/+lP313/9618rCALt2rUr4XGTJk3SPffcI0n6zne+o0mTJiV8fdeuXQqCQL/5zW8G6GqSe/vttxUEgRoaGiT13/lPnTpVhYWFCfepqanRCSecoI8++migLucIh1+fdCggPve5z+nUU0/VF7/4Rd15550J36V2ZU7379+vqqoqpaam6ve//713r5105DVK/rx+N910k4qLiyUlRq2Pr6MrCMAhpLW1VUEQqLa2NuH2srIyjR8/PqSz6r1Vq1Zp+fLl2rhxY/ef8kaOHKn3339ftbW1CoIg4U9wkjRnzhxddtllkg5d57hx4474dceNG6dFixYNyjWYHB5H/XU9l156qebMmZPw9a45qKur6+/LOKpkAVhdXa0XXnhBDQ0Nev7553XeeefpnHPO6f5OwrJly5SamnrEr3XppZfq1ltvlXTo9+TSSy894j6pqal69tlnB+BKkjt48KCuuuoqTZkypfu2/jr/cePGqaysLOHrXTOyffv2/rwMo2TXJ0mPPfaYVq9erYaGBlVVVSkzM1OXXHJJ99eH+pxu3LhRaWlpSklJUXp6ulauXCnJr9fOdI2S+6+fdOi7dRMnTtS+ffskJQagT6+jawjAIcT0L+TChQs1YcKEkM6q7z788EONHDlSDz30kPFfxFtuuUWXX365JHPo/s3f/I0eeOCBQTlnE1MA2l5Pz//IdXn33XcVBIHWr1/f35dxVMkC8HDbt29XLBbTihUrJJn/433JJZfotttuk5QYxT3FYjFVVVX1w5n3zrx585SRkZHwl8v76/yT/SHllVdeURAE2rFjR39ehlGy60vmt7/9rYIg0H/8x39IGvpz2tnZqbfffluvv/66SkpK9LnPfU6///3vvXrtTNeYjGuv37Zt23T66afrjTfe6L6tNwHo4uvoGgJwCHH9R8DJXHLJJSooKOBHwD0MtR/NdOlNAEqHFkvX33105UfA8+fP1xlnnHHE76kvP34yXV8yBw8eTPg7V67N6bRp03Trrbd689ol03WNybj2+j333HMKgkApKSndRxAEOu6445SSkqKXXnrJ29dxqCMAh5jJkydr7ty5CbdlZ2c78SaQw3V0dGjs2LHdHzcwatQoPfjgg91f7+zsTPqmiddee637Pq+++uqQfhOI7fU8/PDDOvnkkxM+zmDx4sVD5k0gh3v//fcVj8f19NNPS/rkL3D/9Kc/7b7P9u3bk/4F7p7fLa2urh6UN4EcPHhQt99+u8aMGaM//vGPR3y9v85/wYIFys7OTvi1CwoKBvwvoB/r+pJpaGhIeKOIa3N68cUXKz8/3/nX7mi6rjEZ116/PXv2qKGhIeG44IILdOONN6qhocHr13GoIwCHmK6PgamsrFRjY6OKi4uVlpampqamsE/tmO68806tWbNGW7Zs0auvvqoZM2ZoxIgR3ee+ePFipaenq6amRg0NDbrhhhuSfmzKpEmTtH79eq1fv17nnntuaB8Ds3fvXtXX16u+vl5BEGjJkiWqr6/v/kie/rietrY2jRw5UjfccIMaGhpUU1Ojk046adA+nuFo17h3717deeedqqur09atW/Xyyy/rS1/6ksaOHZtwjQUFBTrjjDP00ksvacOGDbr44ouTfoTDtGnTtGHDBr300ks644wzBuVjYObOnav09HStWbMm4WM0/vKXv/Tr+Xd9BMUdd9yhxsZGVVZWDspHUBzr+t555x3dd999ev3117V161atXLlSWVlZOv/887uvTxq6c3rXXXdp3bp12rp1qzZu3Ki7775bxx9/vF588UVJbr92vblG118/k8Pf2ezD6+giAnAIKi8vV0ZGhlJTU5WTk5PwkQ5DWdfn4MViMY0ZM0Zf+9rXEv4eS9cHJ48aNUrxeFy5ubkJ71aUpA8++ECzZs3q/lDUWbNmhfZB0C+//PIRH8AaBEH3n8z763o2btyoqVOnKh6Pa9SoUbr33nsH7bsqR7vGv/zlL7rssst02mmnKRaL6ayzzlJ+fr62bduW8Gvs27dP8+fP1ymnnKITTzxRM2bMOOI+zc3NuvLKK3XiiSfqlFNO0fz58xM+kmKgJLu2IAj05JNP9vv5r1mzRueff75SU1OVmZk5KB9Ce6zr27Ztm3Jzc3XKKacoNTVVZ599tgoLC4/4LMehOqc333xz938LTzvtNE2bNq07/iS3X7suR7tG118/k8MD0IfX0UUEIAAAQMQQgAAAABFDAAIAAEQMAQgAABAxBCAAAEDEEIAAAAARQwACAABEDAEIAAAQMQQgAABAxBCAAAAAEUMAAgAARAwBCAAAEDEEIAAAQMQQgAAAABFDAAIAAEQMAQgAABAxBCAAAEDEEIAAAAARQwACAABEDAEIAAAQMQQgAABAxBCAAAAAEUMAAgAARAwBCAAAEDEEIAAAQMQQgAAAABFDAAIAAEQMAQgAABAxBCAAAEDEEIAAAAARQwACAABEDAEIAAAQMf8fBE6RaWBhU90AAAAASUVORK5CYII=\" width=\"640\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(test[0])\n",
+    "plt.plot(plume)\n",
+    "np.save(os.path.join('/Users/warnert/Documents/GitHub/PulseBoy', 'test.npy'), plume)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 169,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "retest = np.load(os.path.join('/Users/warnert/Documents/GitHub/PulseBoy', 'test.npy'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 106,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "params = {'onset': 0.0, 'offset':0.0, 'num_of_bins':8, 'bin_size':0.05,'value_to_binarise':256}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 109,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def binary_pulse(sampling_rate, params):\n",
+    "    '''\n",
+    "    Creates a pulse from a value passed to it. Value should be less than the maximum \n",
+    "    '''\n",
+    "    binary = params['value_to_binarise']\n",
+    "    \n",
+    "    assert binary >= 0, 'Binary minimum should be zero'\n",
+    "    assert binary <= 2**params['num_of_bins'] - 1, 'Binary maximum should be less than %s' % str(2**params['num_of_bins'])\n",
+    "    bin_width = params['bin_size']*sampling_rate\n",
+    "    binned = bin(binary)[2:]\n",
+    "    while len(binned) < params['num_of_bins']:\n",
+    "        binned = '0' + binned\n",
+    "    bin_output = []\n",
+    "    print(binned, bin_width)\n",
+    "    onset = np.zeros(int(sampling_rate * params['onset']))\n",
+    "    offset = np.zeros(int(sampling_rate * params['offset']))\n",
+    "\n",
+    "    \n",
+    "    \n",
+    "    bin_pulse = [int(i) for i in binned for j in range(int(bin_width))]\n",
+    "    total_length = round(params['onset'] + params['offset'] + len(bin_pulse)/sampling_rate, 10)\n",
+    "    return np.hstack((onset, bin_pulse, offset)), np.linspace(0, total_length, total_length * sampling_rate)\n",
+    "\n",
+    "    \n",
+    "#resampled = signal.resample(binary, int(len(binary) * (sampling_rate / params['data_fs'])))\n",
+    "    \n",
+    "#     onset = np.zeros(int(sampling_rate * params['onset']))\n",
+    "#     offset = np.zeros(int(sampling_rate * params['offset']))\n",
+    "\n",
+    "#     total_length = round(params['onset'] + params['offset'] + len(resampled)/sampling_rate, 10)\n",
+    "#     return np.hstack((onset, resampled, offset)), np.linspace(0, total_length, total_length * sampling_rate)\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 110,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "AssertionError",
+     "evalue": "Binary maximum should be less than 256",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mAssertionError\u001b[0m                            Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-110-e16819744bcb>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mbin_pulse\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbinary_pulse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m20000\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mparams\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbin_pulse\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbin_pulse\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m<ipython-input-109-d6836468270e>\u001b[0m in \u001b[0;36mbinary_pulse\u001b[0;34m(sampling_rate, params)\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m     \u001b[0;32massert\u001b[0m \u001b[0mbinary\u001b[0m \u001b[0;34m>=\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Binary minimum should be zero'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m     \u001b[0;32massert\u001b[0m \u001b[0mbinary\u001b[0m \u001b[0;34m<=\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mparams\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'num_of_bins'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Binary maximum should be less than %s'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mparams\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'num_of_bins'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      9\u001b[0m     \u001b[0mbin_width\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mparams\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'bin_size'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0msampling_rate\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m     \u001b[0mbinned\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbinary\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mAssertionError\u001b[0m: Binary maximum should be less than 256"
+     ]
+    }
+   ],
+   "source": [
+    "bin_pulse = binary_pulse(20000, params)\n",
+    "plt.plot(bin_pulse[1], bin_pulse[0])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 177,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\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('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",
+       "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 = $('<div/>');\n",
+       "    this._root_extra_style(this.root)\n",
+       "    this.root.attr('style', 'display: inline-block');\n",
+       "\n",
+       "    $(parent_element).append(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen =  function () {\n",
+       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+       "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
+       "            fig.send_message(\"refresh\", {});\n",
+       "        }\n",
+       "\n",
+       "    this.imageObj.onload = function() {\n",
+       "            if (fig.image_mode == 'full') {\n",
+       "                // Full images could contain transparency (where diff images\n",
+       "                // almost always do), so we need to clear the canvas so that\n",
+       "                // there is no ghosting.\n",
+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "            }\n",
+       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "        };\n",
+       "\n",
+       "    this.imageObj.onunload = function() {\n",
+       "        fig.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\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",
+       "\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",
+       "\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]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\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",
+       "    {\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.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",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\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",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\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",
+       "    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",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\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",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\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,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"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\";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 = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\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.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('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",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\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",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        event.shiftKey = false;\n",
+       "        // Send a \"J\" for go to next cell\n",
+       "        event.which = 74;\n",
+       "        event.keyCode = 74;\n",
+       "        manager.command_mode();\n",
+       "        manager.handle_keydown(event);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\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('matplotlib', mpl.mpl_figure_comm);\n",
+       "}\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
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width=\"640\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x1c32c022e8>]"
+      ]
+     },
+     "execution_count": 177,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "plt.plot(t, bin_pulse)\n",
+    "#plt.plot(np.load(params['data_path']))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
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+      "1\n",
+      "1\n",
+      "1\n"
+     ]
+    }
+   ],
+   "source": [
+    "bin_window = 50\n",
+    "fs = 20000\n",
+    "num_of_bins = 8\n",
+    "for i in range(2**num_of_bins):\n",
+    "    binned = bin(i)[2:]\n",
+    "    while len(binned) < num_of_bins:\n",
+    "        binned = '0' + binned\n",
+    "    for j in binned:\n",
+    "        print(j)\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 204,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "trial = [1, [{}], 'Trial Name']\n",
+    "trialbank_out = []\n",
+    "ind_params = {'type':'Simple', 'fromValues':True, 'fromDuty':False, 'isClean':True, 'isShatter':False, 'fromRepeats':True,\n",
+    "             'fromLength':False, 'onset':0.1, 'offset':0.0, 'pulse_width':0.08, 'pulse_delay':0.0, 'frequency':10.0,\n",
+    "             'duty':0.5, 'shatter_frequency':500.0, 'shatter_duty':0.5, 'repeats':1, 'length':1.0}\n",
+    "for i in range(256):\n",
+    "    if len(bin(i)) == 10:\n",
+    "        params = {}\n",
+    "        params['type']='Binary'\n",
+    "        params['onset'] = 0.1\n",
+    "        params['offset'] = 0.0\n",
+    "        params['num_of_bins'] = 8\n",
+    "        params['bin_size'] = 0.005\n",
+    "        params['value_to_binarise'] = i\n",
+    "        params['shatter_frequency'] = 500\n",
+    "\n",
+    "        trialbank_out.append([2, [params, ind_params], 'Trial Name'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 205,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "simp_trialbank = pickle.Unpickler(open('/Volumes/lab-schaefera/working/warnert/Recordings/190222/2Hz_20Hz_corr_anti_corr_reorder.trialbank', 'rb')).load()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 162,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'type': 'Simple', 'fromValues': False, 'fromDuty': True, 'isClean': False, 'isShatter': True, 'fromRepeats': False, 'fromLength': True, 'onset': 0.1, 'offset': 0.1, 'pulse_width': 0.1, 'pulse_delay': 0.1, 'frequency': 10.0, 'duty': 0.5, 'shatter_frequency': 500.0, 'shatter_duty': 0.5, 'repeats': 5, 'length': 2.0}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(simp_trialbank[0][1][0])\n",
+    "#print(trialbank_out[0][1])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 206,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pickle.dump(trialbank_out, open('/Users/warnert/Documents/GitHub/PulseBoy/TestData/testbinarytrialbank_shatter_small_onset_0.005_bin_size.trialbank', 'wb'), protocol=pickle.HIGHEST_PROTOCOL)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 138,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "test_trialbank = pickle.Unpickler(open('/Users/warnert/Documents/GitHub/PulseBoy/TestData/2_binary_pulses.trialbank', 'rb')).load()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 181,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "32768.0"
+      ]
+     },
+     "execution_count": 181,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "(2**16)/2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 145,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "full_binned = []\n",
+    "for i in range(256):\n",
+    "    binned = bin(i)[2:]\n",
+    "    if not len(binned) < 8:\n",
+    "        full_binned.append(binned)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 146,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['10000000', '10000001', '10000010', '10000011', '10000100', '10000101', '10000110', '10000111', '10001000', '10001001', '10001010', '10001011', '10001100', '10001101', '10001110', '10001111', '10010000', '10010001', '10010010', '10010011', '10010100', '10010101', '10010110', '10010111', '10011000', '10011001', '10011010', '10011011', '10011100', '10011101', '10011110', '10011111', '10100000', '10100001', '10100010', '10100011', '10100100', '10100101', '10100110', '10100111', '10101000', '10101001', '10101010', '10101011', '10101100', '10101101', '10101110', '10101111', '10110000', '10110001', '10110010', '10110011', '10110100', '10110101', '10110110', '10110111', '10111000', '10111001', '10111010', '10111011', '10111100', '10111101', '10111110', '10111111', '11000000', '11000001', '11000010', '11000011', '11000100', '11000101', '11000110', '11000111', '11001000', '11001001', '11001010', '11001011', '11001100', '11001101', '11001110', '11001111', '11010000', '11010001', '11010010', '11010011', '11010100', '11010101', '11010110', '11010111', '11011000', '11011001', '11011010', '11011011', '11011100', '11011101', '11011110', '11011111', '11100000', '11100001', '11100010', '11100011', '11100100', '11100101', '11100110', '11100111', '11101000', '11101001', '11101010', '11101011', '11101100', '11101101', '11101110', '11101111', '11110000', '11110001', '11110010', '11110011', '11110100', '11110101', '11110110', '11110111', '11111000', '11111001', '11111010', '11111011', '11111100', '11111101', '11111110', '11111111']\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(full_binned)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "full_pulse = []\n",
+    "for i in range(2**num_of_bins):\n",
+    "    bin_width = params['bin_size']*sampling_rate\n",
+    "    binary = bin(i)[2:]\n",
+    "    #print(binary)\n",
+    "    \n",
+    "    while len(binary) < num_of_bins:\n",
+    "        binary = '0'+binary\n",
+    "    bin_pulse = [int(i) for i in binary for j in range(int(bin_width))]\n",
+    "    #print(bin_pulse)\n",
+    "    \n",
+    "    full_pulse.extend(bin_pulse)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 197,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "100.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(bin_width)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 199,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\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('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",
+       "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 = $('<div/>');\n",
+       "    this._root_extra_style(this.root)\n",
+       "    this.root.attr('style', 'display: inline-block');\n",
+       "\n",
+       "    $(parent_element).append(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen =  function () {\n",
+       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+       "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
+       "            fig.send_message(\"refresh\", {});\n",
+       "        }\n",
+       "\n",
+       "    this.imageObj.onload = function() {\n",
+       "            if (fig.image_mode == 'full') {\n",
+       "                // Full images could contain transparency (where diff images\n",
+       "                // almost always do), so we need to clear the canvas so that\n",
+       "                // there is no ghosting.\n",
+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "            }\n",
+       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "        };\n",
+       "\n",
+       "    this.imageObj.onunload = function() {\n",
+       "        fig.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\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",
+       "\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",
+       "\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]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\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",
+       "    {\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.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",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\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",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\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",
+       "    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",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\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",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\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,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"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\";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 = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\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.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('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",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\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",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        event.shiftKey = false;\n",
+       "        // Send a \"J\" for go to next cell\n",
+       "        event.which = 74;\n",
+       "        event.keyCode = 74;\n",
+       "        manager.command_mode();\n",
+       "        manager.handle_keydown(event);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\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('matplotlib', mpl.mpl_figure_comm);\n",
+       "}\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<img 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vft9+rx2zHnDYBx7wGCcsfl53npQq/e+ul8/754/+tfyfYd3fn67d6L7WnnPgna8d0Hn13DV4s7XQffXvPs+/+jNWz6m7tdw920XHjPU+/2h+9zdx6zY6uaeNrfd+5rovu3CYzr//7TNd/U9C9px8bFDMWPvgTho2kBctGgoTpk9+uf/2AMGe3fltLnteOtBrd7r98zDtr2BH978+9OZh7Xj3CM7P657A8+Y1/m9btXizvs9Z2HntpyzsPP7avdW/f69OuvwLbfq9Hnt3r2+aNFQXLp4KP6Pt3R0v2a7z9n9vWLl3M5rvvvzt+zgzuuqe4/ed3jn49j696RLju3ctz89uvNrc8mxnef46NKh3ts+vGgoPrGs8/lctqTzOV+0qHP/TpjRij96c+c5tn5tn31E51Zdddyk+MjSzv+/4OjO6/fsIzofc/emnza3Per+rJzbjo9uvnPdX8MVc9px9B90/p7xyP06r4c37DUQ8/ftvGaOPWAw5rxhsPe12P19feu/1ztjXjveufk2feiYLR//CTNacfHmO3bM/p37270pp8zuvP62/n3+1M1v+9Ojh7b5e5ju76m/f5vPO2rL75Gnze38PcwHFm75vXDFnHZ8eNFQvHN25+83zzys87o69oDBePusVnxo89f0eUeN/to7dU7n53Xr18onlnW+Nj50zFDvY+z+Onb/HuzUOVs+piUHDvb+frP7+8i5R3Z+ja9YNikuOXao93vH+4/o/P57/lFbfi9Ytfn3wlWLOx/jBUd37vali7d8nN1fw+69PGFGq3fD33pQq3eXT5zZ6n183b8v2fpGdX/+t/77wtPmdl5X3Z//7s9L9+e0+7zvnr/lVq2Y0/n8rjpuUnxi2aTea6P7+As3fw2fMW/L++6+jv50873p/j1A9zZ1P8fu9ysr5rTj7bM6Xz/dt3V/z3zvgi23rvvXu79Pb/33RmcfMfr39a1//rvv85TZrW2+brsfT/emdV9X3V/jb339/4pv3/c/4odr/mf8cM1XY91D/yt+9MD/HT/++y9F/MeDHT/8WsS6u7b8/66nHs797Wx1339r92QALLjdMQBeffXVvff56KOP7vCxt9xyS++xDzzwwJieZ/369Tu0du3aqg7QeAfAN+w1EP/6kSkRN+y9jcc/PjVeuW7aNn/9+WumxX9dve1f35lffnJqPPd/jv3HvVY/287H3y9++rGp2T8GXrsXr50Wv3kdXw/AaE9fNdVrEICJ7da35f521gCoiDAAFt3uGAA/8pGP9N7nT37ykx0+9q/+6q96j7377rvH9DxjGcdqOEDjHQBXLR7K/xsPAAAAry8DoArJAFhwu2MAvOiii3rv8/HHH9/hY2+77bbeY++4444xPY8BcLTbztwz/288AAAAvL4MgCokA2DB1fxPAPojwAZAAACACWn1IRGfP7zjjvfm/nbWAKiIMAAWXc3/DsCdVdsBMgACAACQ5J//n9zfwo6qtu+/tXsyABbc7hgA//Iv/7L3Pv1XgNMzAAIAAJDEAKgCMwAW3O4YANesWdN7n6tXr97hY0855ZRomiba7Xa89NJLu+T5u9V2gAyAAAAAJDEAqsAMgAW3OwbA5557LiZNmhRN08SKFSu2+7iXXnop9t5772iaJo477rhd8txbV9sBMgACAACQxACoAjMAFtzuGAAjIk499dTeP9m3vRf/XXfd1Xvum2++eZc9d7faDpABEAAAgCQGQBWYAbDgXssA+JWvfKX3Y2644YZXfczWfwz4zDPPjFdeeWXU23/1q1/FIYccEk3TxPTp0+PZZ58d52eybbUdIAMgAAAASQyAKjADYEF95zvfia985Ss9W/9XeE844YRRb/vKV77yqu8jZQCMiDjnnHN6jzv55JPjb//2b+PRRx+N22+/PWbPnt1725e+9KXd8rnWdoAMgAAAACQxAKrADIAFdcEFF4xpVHq1UgfAF198MVauXLnd9z04OLjDHz/eajtABkAAAACSGABVYAbAgno9B8Bud955Z7zjHe+I/fbbLyZNmhQzZsyIc889N0ZGRnbxZze62g6QARAAAIAkBkAVmAFQWartABkAAQAASGIAVIEZAJWl2g6QARAAAIAkBkAVmAFQWartABkAAQAASGIAVIEZAJWl2g6QARAAAIAkBkAVmAFQWartABkAAQAASGIAVIEZAJWl2g6QARAAAIAkBkAVmAFQWartABkAAQAASGIAVIEZAJWl2g6QARAAAIAkBkAVmAFQWartABkAAQAASGIAVIEZAJWl2g6QARAAAIAkBkAVmAFQWartABkAAQAASGIAVIEZAJWl2g6QARAAAIAkBkAVmAFQWartABkAAQAASGIAVIEZAJWl2g6QARAAAIAkBkAVmAFQWartABkAAQAASPL9/zf3t7Cjqu37b+2eDIDKUm0HyAAIAABAEgOgCswAqCzVdoAMgAAAACQxAKrADIDKUm0HyAAIAABAEgOgCswAqCzVdoAMgAAAACQxAKrADIDKUm0HyAAIAABAEgOgCswAqCzVdoAMgAAAACQxAKrADIDKUm0HyAAIAABAEgOgCswAqCzVdoAMgAAAACQxAKrADIDKUm0HyAAIAABAEgOgCswAqCzVdoAMgAAAACQxAKrADIDKUm0HyAAIAABAEgOgCswAqCzVdoAMgAAAACQxAKrADIDKUm0HyAAIAABAEgOgCswAqCzVdoAMgAAAACQxAKrADIDKUm0HyAAIAABAEgOgCswAqCzVdoAMgAAAACQxAKrADIDKUm0HyAAIAABAEgOgCswAqCzVdoAMgAAAACQxAKrADIDKUm0HaLwD4O0GQAAAgInBAKgCMwAqS7UdIAMgAAAASQyAKjADoLJU2wEyAAIAAJDEAKgCMwAqS7UdIP8OQAAAAJIYAFVgBkBlqbYDZAAEAAAgiQFQBWYAVJZqO0AGQAAAAJJ8///L/S3sqGr7/lu7JwOgslTbATIAAgAAkMQAqAIzACpLtR0gAyAAAABJDIAqMAOgslTbATIAAgAAkMQAqAIzACpLtR0gAyAAAABJDIAqMAOgslTbATIAAgAAkMQAqAIzACpLtR0gAyAAAABJDIAqMAOgslTbATIAAgAAkMQAqAIzACpLtR0gAyAAAABJDIAqMAOgslTbATIAAgAAkMQAqAIzACpLtR0gAyAAAABJDIAqMAOgslTbATIAAgAAkMQAqAIzACpLtR0gAyAAAABJDIAqMAOgslTbATIAAgAAkMQAqAIzACpLtR0gAyAAAABJDIAqMAOgslTbATIAAgAAkMQAqAIzACpLtR0gAyAAAABJDIAqMAOgslTbARrvAHi7ARAAAGBiMACqwAyAylJtB8gACAAAQBIDoArMAKgs1XaADIAAAAAkMQCqwAyAylJtB8gACAAAQBIDoArMAKgs1XaA/EdAAAAASGIAVIEZAJWl2g6QARAAAIAkBkAVmAFQWartABkAAQAASPLYHbm/hR1Vbd9/a/dkAFSWajtABkAAAACSGABVYAZAZam2A2QABAAAIIkBUAVmAFSWajtABkAAAACSGABVYAZAZam2A2QABAAAIIkBUAVmAFSWajtABkAAAACSGABVYAZAZam2A2QABAAAIIkBUAVmAFSWajtABkAAAACSGABVYAZAZam2A2QABAAAIIkBUAVmAFSWajtABkAAAACSGABVYAZAZam2A2QABAAAIIkBUAVmAFSWajtABkAAAACSGABVYAZAZam2A2QABAAAIIkBUAVmAFSWajtABkAAAACSGABVYAZAZam2A2QABAAAIIkBUAVmAFSWajtABkAAAACSGABVYAZAZam2A2QABAAAIIkBUAVmAFSWajtA4x0AbzcAAgAATAwGQBWYAVBZqu0AGQABAABIYgBUgRkAlaXaDpABEAAAgCQGQBWYAVBZqu0AGQABAABIYgBUgRkAlaXaDpD/CAgAAABJDIAqMAOgslTbATIAAgAAkMQAqAIzACpLtR0gAyAAAABJHvsfub+FHVVt339r92QAVJZqO0AGQAAAAJIYAFVgBkBlqbYDZAAEAAAgiQFQBWYAVJZqO0AGQAAAAJIYAFVgBkBlqbYDZAAEAAAgiQFQBWYAVJZqO0AGQAAAAJIYAFVgBkBlqbYDZAAEAAAgiQFQBWYAVJZqO0AGQAAAAJIYAFVgBkBlqbYDZAAEAAAgiQFQBWYAVJZqO0AGQAAAAJIYAFVgBkBlqbYDZAAEAAAgiQFQBWYAVJZqO0AGQAAAAJIYAFVgBkBlqbYDZAAEAAAgiQFQBWYAVJZqO0AGQAAAAJIYAFVgBkBlqbYDZAAEAAAgiQFQBWYAVJZqO0AGQAAAAJIYAFVgBkBlqbYDNN4B8HYDIAAAwMRgAFSBGQCVpdoOkAEQAACAJAZAFZgBUFmq7QAZAAEAAEhiAFSBGQCVpdoOkAEQAACAJAZAFZgBUFmq7QAZAAEAAEhiAFSBGQCVpdoOkP8KMAAAAEkMgCowA6CyVNsBMgACAACQxACoAjMAKku1HSADIAAAAEl+cGfub2FHVdv339o9GQCVpdoOkAEQAACAJAZAFZgBUFmq7QAZAAEAAEhiAFSBGQCVpdoOkAEQAACAJAZAFZgBUFmq7QAZAAEAAEhiAFSBGQCVpdoOkAEQAACAJAZAFZgBsNCeeuqpuOqqq2L+/PkxefLkGB4ejqVLl8Ytt9wSL7zwwi55jieffDKuvvrqOPbYY2OfffaJdrsdw8PDcdxxx8WNN94YzzzzzC55nlertgNkAAQAACCJAVAFZgAssPvvvz/22Wef7Y5Jhx12WDz++OPjeo4777wzJk+evMPR6o1vfGOsWbNmF31Wo6vtABkAAQAASGIAVIEZAAtr3bp1vWFu6tSpcdNNN8XIyEisWbMmLrnkkt6Ldv78+fH888+/pucYGRmJVqsVTdPE4OBgfOhDH4p77rkn1q5dG3fffXecccYZveeZMmVKPPHEE7v2k4z6DpABEAAAgCQGQBWYAbCwTjrppGiaJtrtdoyMjGzz9ptvvrn3wv30pz/9mp7j9NNP772PL37xi6/6mCuvvLL3mI997GOv6Xl2VG0HyAAIAABAEgOgCswAWFBr167tvShXrVr1qo/ZtGlTLFiwIJqmieHh4di4ceOYn2d4eLj3R3y313/913/1PpbFixeP+Tl2Vm0HyAAIAABAEgOgCswAWFDXXntt70X5yCOPbPdxq1ev7j3uwQcfHPPzTJkyJZqmiSVLluzwcfvuu280TRMLFy4c83PsrNoOkAEQAACAJAZAFZgBsKCWL1/e+/fuvfzyy9t93MjISO/Fe/3114/5eRYtWrTTfwLwN7/5Te853vOe94z5OXZWbQfIAAgAAEASA6AKzABYUN1/4u7oo4/e4eOeffbZ3ov3rLPOGvPzfOlLX+r9+FtvvfVVH/PJT36y95hvfvObY36OnVXbATIAAgAAkMQAqAIzABbShg0bei/I0047baeP7/4x3mXLlo35uV555ZX44Ac/GE3T+a8AX3zxxXHvvffGo48+Gl//+tfj3e9+d+9jufrqq1/LpxPr16/foa3/fYc1HCADIAAAAEkMgCowA2AhbT0wnX322Tt9/H777Tfufz/f1772td4fB/59J5988rj+yb+xjGM1HKDxDoC3GwABAAAmBgOgCswAWEg///nPey/I888/f6ePnzFjRjRNE7Nnz35Nz/eTn/wk3vWud0W73X7VwWrPPfeMD37wg/GLX/ziNb1/A6ABEAAAYEIyAKrADICF9Hr+E4D/9E//FNOnT4+maWLmzJlxxx13xNNPPx0bN26M9evXxxe/+MUYHh6Opmni4IMPjn/9138d83P4I8AGQAAAgAnJAKgCMwAW0uv17wD87W9/GwcddFA0TRP7779//Od//uerPu5HP/pR7LnnntE0TSxZsmRMz5FSbQfIAAgAAEASA6AKzABYUK/HfwX4nnvu6f3Ym266aYePvfjii3uPXbdu3ZieZ2fVdoAMgAAAACQxAIcQ6lIAACAASURBVKrADIAFtXz58miaJqZMmRIvv/zydh83MjLSe/Fef/31Y3qO1atX937s3//93+/wsbfeemvvsV/96lfH9Dw7q7YDZAAEAAAgiQFQBWYALKhrrrmm96J85JFHtvu4rUe8sf6Xem+55Zbej73vvvt2+Ni/+Iu/6D327rvvHtPz7KzaDtB4B8DbDIAAAAATgwFQBWYALKjvfe97vRflqlWrXvUxmzZtigULFkTTNDF9+vTYuHHjmJ7j7rvv7j3Hpz71qR0+9r3vfW/vsd///vfH9Dw7q7YDZAAEAAAgiQFQBWYALKzuHwNut9sxMjKyzdtvvvnm3gv3hhtu2Obt3/rWt3pvv+CCC7Z5+69//euYPHlyNE0T06ZNi3/5l3951Y/j7/7u72JwcDCapomDDjooNm3aNN5PbVS1HSADIAAAAEl+8D9zfws7qtq+/9buyQBYWI899ljstdde0TRNTJ06NT7zmc/Eww8/HA899FBceumlvRftvHnz4rnnntvmx+9sAIyIuPHGG3uPmTp1alxzzTXx0EMPxQ9+8IN44IEH4vLLL492u917zB133LHLP8/aDpABEAAAgCQGQBWYAbDA7r333th77723OybNmzcvfvrTn77qj00ZAH/3u9/FJz7xiRgYGNjhaDU0NBS33HLLbvkcaztABkAAAACSGABVYAbAQnvyySfjiiuuiHnz5sXkyZNj+vTpsWTJkvjsZz8bL7zwwnZ/XMoA2O2f//mf47LLLouFCxfGtGnTotVqxT777BOLFy+OK6+8Mv793/99F39WW6rtABkAAQAASGIAVIEZAJWl2g6QARAAAIAkBkAVmAFQWartABkAAQAASGIAVIEZAJWl2g6QARAAAIAkBkAVmAFQWartABkAAQAASGIAVIEZAJWl2g6QARAAAIAkBkAVmAFQWartABkAAQAASGIAVIEZAJWl2g6QARAAAIAkBkAVmAFQWartABkAAQAASGIAVIEZAJWl2g6QARAAAIAkBkAVmAFQWartABkAAQAASGIAVIEZAJWl2g6QARAAAIAkBkAVmAFQWartAI13ALzdAAgAADAxGABVYAZAZam2A2QABAAAIIkBUAVmAFSWajtABkAAAACSGABVYAZAZam2A2QABAAAIIkBUAVmAFSWajtABkAAAACSGABVYAZAZam2A2QABAAAIIkBUAVmAFSWajtABkAAAACSGABVYAZAZam2AzTeAfA2AyAAAMDEYABUgRkAlaXaDpABEAAAgCTr7sr9Leyoavv+W7snA6CyVNsBMgACAACQxACoAjMAKku1HSADIAAAAEkMgCowA6CyVNsBMgACAACQxACoAjMAKku1HSADIAAAAEkMgCowA6CyVNsBMgACAACQxACoAjMAKku1HSADIAAAAEkMgCowA6CyVNsBMgACAACQxACoAjMAKku1HSADIAAAAEkMgCowA6CyVNsBMgACAACQxACoAjMAKku1HSADIAAAAEkMgCowA6CyVNsBMgACAACQxACoAjMAKku1HSADIAAAAEkMgCowA6CyVNsBMgACAACQxACoAjMAKku1HaDxDoC3GwABAAAmBgOgCswAqCzVdoAMgAAAACQxAKrADIDKUm0HyAAIAABAEgOgCswAqCzVdoAMgAAAACQxAKrADIDKUm0HyAAIAABAEgOgCswAqCzVdoAMgAAAACQxAKrADIDKUm0HyAAIAABAEgOgCswAqCzVdoAMgAAAACQxAKrADIDKUm0HaLwD4G0GQAAAgInBAKgCMwAqS7UdIAMgAAAASdZ9Nfe3sKOq7ftv7Z4MgMpSbQfIAAgAAEASA6AKzACoLNV2gAyAAAAAJDEAqsAMgMpSbQfIAAgAAEASA6AKzACoLNV2gAyAAAAAJDEAqsAMgMpSbQfIAAgAAEASA6AKzACoLNV2gAyAAAAAJDEAqsAMgMpSbQfIAAgAAEASA6AKzACoLNV2gAyAAAAAJDEAqsAMgMpSbQfIAAgAAEASA6AKzACoLNV2gAyAAAAAJDEAqsAMgMpSbQfIAAgAAEASA6AKzACoLNV2gAyAAAAAJDEAqsAMgMpSbQdovAPg7QZAAACAicEAqAIzACpLtR0gAyAAAABJDIAqMAOgslTbATIAAgAAkMQAqAIzACpLtR0gAyAAAABJDIAqMAOgslTbATIAAgAAkMQAqAIzACpLtR0gAyAAAABJDIAqMAOgslTbATIAAgAAkMQAqAIzACpLtR0gAyAAAABJDIAqMAOgslTbATIAAgAAkMQAqAIzACpLtR2g8Q6AtxkAAQAAJgYDoArMAKgs1XaADIAAAAAk+eHXcn8LO6ravv/W7skAqCzVdoAMgAAAACQxAKrADIDKUm0HyAAIAABAEgOgCswAqCzVdoAMgAAAACQxAKrADIDKUm0HyAAIAABAEgOgCswAqCzVdoAMgAAAACQxAKrADIDKUm0HyAAIAABAEgOgCswAqCzVdoAMgAAAACQxAKrADIDKUm0HyAAIAABAEgOgCswAqCzVdoAMgAAAACQxAKrADIDKUm0HyAAIAABAEgOgCswAqCzVdoAMgAAAACQxAKrADIDKUm0HyAAIAABAEgOgCswAqCzVdoDGOwDebgAEAACYGAyAKjADoLJU2wEyAAIAAJDEAKgCMwAqS7UdIAMgAAAASQyAKjADoLJU2wEyAAIAAJDEAKgCMwAqS7UdIAMgAAAASQyAKjADoLJU2wEyAAIAAJDEAKgCMwAqS7UdIAMgAAAASQyAKjADoLJU2wEyAAIAAJDEAKgCMwAqS7UdIAMgAAAASQyAKjADoLJU2wEa7wB4mwEQAABgYjAAqsAMgMpSbQfIAAgAAECSH/6v3N/Cjqq277+1ezIAKku1HSADIAAAAEkMgCowA6CyVNsBMgACAACQxACoAjMAKku1HSADIAAAAEkMgCowA6CyVNsBMgACAACQxACoAjMAKku1HSADIAAAAEkMgCowA6CyVNsBMgACAACQxACoAjMAKku1HSADIAAAAEkMgCowA6CyVNsBMgACAACQxACoAjMAKku1HSADIAAAAEkMgCowA6CyVNsBMgACAACQxACoAjMAKku1HSADIAAAAEkMgCowA6CyVNsBGu8AeLsBEAAAYGIwAKrADIDKUm0HyAAIAABAEgOgCswAqCzVdoAMgAAAACQxAKrADIDKUm0HyAAIAABAEgOgCswAqCzVdoAMgAAAACQxAKrADIDKUm0HyAAIAABAEgOgCswAqCzVdoAMgAAAACQxAKrADIDKUm0HyAAIAABAEgOgCswAqCzVdoAMgAAAACQxAKrADIDKUm0HyAAIAABAEgOgCswAqCzVdoDGOwDeZgAEAACYGAyAKjADoLJU2wEyAAIAAJDkX/4697ewo6rt+2/tngyAylJtB8gACAAAQBIDoArMAKgs1XaADIAAAAAkMQCqwAyAhfbUU0/FVVddFfPnz4/JkyfH8PBwLF26NG655ZZ44YUXdulzfe9734vLL7885s+fH9OmTYspU6bErFmzYuXKlfH5z38+nnnmmV36fBH1HSADIAAAAEkMgCowA2CB3X///bHPPvtsd0w67LDD4vHHHx/38/z2t7+Niy++OAYGBnY4Xn3jG9/YBZ/V6Go7QAZAAAAAkhgAVWAGwMJat25dTJ48OZqmialTp8ZNN90UIyMjsWbNmrjkkkt6L9r58+fH888//5qf56WXXopTTz219/6WL18eX/7yl+O73/1uPPLII/G1r30trr322pg7d64BMAyAAAAAJDIAqsAMgIV10kknRdM00W63Y2RkZJu333zzzb0X7qc//enX/DzXXXdd7/187nOf2+FjN27c+JqfZ3vVdoAMgAAAACQxAKrADIAFtXbt2t6LctWqVa/6mE2bNsWCBQuiaZoYHh5+TePc448/HkNDQ9E0TVx44YXj/bBfU7UdIAMgAAAASQyAKjADYEFde+21vRflI488st3HrV69uve4Bx98cMzPc/XVV0fTNDEwMBA/+9nPxvMhv+ZqO0AGQAAAAJIYAFVgBsCCWr58eTRNE1OmTImXX355u48bGRnpvXivv/76MT/PrFmzommaWLp0ae+vbdq0KdavXx8/+9nP4sUXX3xNH/9Yqu0AGQABAABIYgBUgRkAC2rfffeNpmni6KOP3uHjnn322d6L96yzzhrTc2w9ZH384x+P3/zmN/Fnf/ZnMTw83Pvr7XY7TjzxxLj//vvH8+nssNoOkAEQAACAJAZAFZgBsJA2bNjQe0GedtppO338lClTommaWLZs2Zie59vf/nbvea6++uqYPXv2DoerK6644jV9PuvXr9+hrf99hzUcoPEOgLcbAAEAACYGA6AKzABYSFsPTGefffZOH7/ffvtF0zSxcOHCMT3P3/zN3/SeZ4899oimaeL444+Pf/zHf4wXX3wxnn322bjzzjvjgAMO6D3u1ltvHfPnM5ZxrIYDZAAEAAAgiQFQBWYALKSf//znvRfk+eefv9PHz5gxI5qmidmzZ4/pee64445Rw9TixYtjw4YN2zzuP/7jP3r/lOGb3vSmMf97AQ2ABkAAAIAJyQCoAjMAFtLr9U8A/vVf//WoYeqBBx7Y7mM/+clP9h537733jul5/BFgAyAAAMCEZABUgRkAC+n1+ncAPvDAA73nmTRpUrz00kvbfew//MM/9B573XXXjel5dlZtB8gACAAAQBIDoArMAFhQr8d/BfjHP/5x78fOmDFjh4/9t3/7t95jV61aNabn2Vm1HSADIAAAAEkMgCowA2BBLV++PJqmiSlTpsTLL7+83ceNjIz0XrzXX3/9mJ5j48aNMTQ0FE3TxIEHHrjDx249Fn70ox8d0/PsrNoOkAEQAACAJAZAFZgBsKCuueaa3ovykUce2e7jVq9e3XvcN7/5zTE/z4knnhhN00Sr1Yr//u//3u7j7r333t7zfOYznxnz8+yo2g6QARAAAIAkBkAVmAGwoL73ve/t9I/cbtq0KRYsWBBN08T06dNj48aNY36eP//zP+89z5133rndx1144YW9x33nO98Z8/PsqNoOkAEQAACAJAZAFZgBsLC6fwy43W7HyMjINm+/+eabey/cG264YZu3f+tb3+q9/YILLnjV53j++ed7/xXhmTNnxtNPP/2q76fVakXTdP5Lw7/73e/G+6mNqrYDZAAEAAAgiQFQBWYALKzHHnss9tprr2iaJqZOnRqf+cxn4uGHH46HHnooLr300t6Ldt68efHcc89t8+NTBsCIiK9+9asxMDAQTdP5j4F88YtfjEcffTS+853vxLXXXtv7GNrtdnz3u9/d5Z9nbQfIAAgAAEASA6AKzABYYPfee2/svffe2x2T5s2bFz/96U9f9cemDoAREV/4whdi0qRJ232eqVOnxj333LMbPsP6DtB4B8DbDIAAAAATgwFQBWYALLQnn3wyrrjiipg3b15Mnjw5pk+fHkuWLInPfvaz8cILL2z3x41lAIyI+NGPfhSXX355zJkzJ/baa6+YOnVqHHXUUfGpT30qfvGLX+zCz2h0tR0gAyAAAABJDIAqMAOgslTbATIAAgAAkMQAqAIzACpLtR0gAyAAAABJDIAqMAOgslTbATIAAgAAkMQAqAIzACpLtR0gAyAAAABJDIAqMAOgslTbATIAAgAAkMQAqAIzACpLtR0gAyAAAABJDIAqMAOgslTbATIAAgAAkMQAqAIzACpLtR0gAyAAAABJDIAqMAOgslTbATIAAgAAkMQAqAIzACpLtR0gAyAAAABJDIAqMAOgslTbARrvAHi7ARAAAGBiMACqwAyAylJtB8gACAAAQBIDoArMAKgs1XaADIAAAAAkMQCqwAyAylJtB8gACAAAQBIDoArMAKgs1XaADIAAAAAkMQCqwAyAylJtB8gACAAAQBIDoArMAKgs1XaADIAAAAAkMQCqwAyAylJtB8gACAAAQBIDoArMAKgs1XaADIAAAAAkMQCqwAyAylJtB8gACAAAQBIDoArMAKgs1XaADIAAAAAkMQCqwAyAylJtB8gACAAAQBIDoArMAKgs1XaAxjsA3mYABAAAmBgMgCowA6CyVNsBMgACAACQ5H/fnftb2FHV9v23dk8GQGWptgNkAAQAACCJAVAFZgBUlmo7QAZAAAAAkhgAVWAGQGWptgNkAAQAACCJAVAFZgBUlmo7QAZAAAAAkhgAVWAGQGWptgNkAAQAACCJAVAFZgBUlmo7QAZAAAAAkhgAVWAGQGWptgNkAAQAACCJAVAFZgBUlmo7QAZAAAAAkhgAVWAGQGWptgM03gHwdgMgAADAxGAAVIEZAJWl2g6QARAAAIAkBkAVmAFQWartABkAAQAASGIAVIEZAJWl2g6QARAAAIAkBkAVmAFQWartABkAAQAASGIAVIEZAJWl2g6QARAAAIAkBkAVmAFQWartABkAAQAASGIAVIEZAJWl2g6QARAAAIAkBkAVmAFQWartABkAAQAASGIAVIEZAJWl2g6QARAAAIAkBkAVmAFQWartABkAAQAASGIAVIEZAJWl2g6QARAAAIAkBkAVmAFQWartABkAAQAASGIAVIEZAJWl2g7QeAfA2wyAAAAAE4MBUAVmAFSWajtABkAAAACS/O+v5/4WdlS1ff+t3ZMBUFmq7QAZAAEAAEhiAFSBGQCVpdoOkAEQAACAJAZAFZgBUFmq7QAZAAEAAEhiAFSBGQCVpdoOkAEQAACAJAZAFZgBUFmq7QAZAAEAAEhiAFSBGQCVpdoOkAEQAACAJAZAFZgBUFmq7QAZAAEAAEhiAFSBGQCVpdoO0HgHwNsNgAAAABODAVAFZgBUlmo7QAZAAAAAkhgAVWAGQGWptgNkAAQAACCJAVAFZgBUlmo7QAZAAAAAkhgAVWAGQGWptgNkAAQAACCJAVAFZgBUlmo7QAZAAAAAkhgAVWAGQGWptgNkAAQAACCJAVAFZgBUlmo7QAZAAAAAkhgAVWAGQGWptgNkAAQAACCJAVAFZgBUlmo7QAZAAAAAkhgAVWAGQGWptgNkAAQAACCJAVAFZgBUlmo7QAZAAAAAkhgAVWAGQGWptgNkAAQAACCJAVAFZgBUlmo7QAZAAAAAkhgAVWAGQGWptgM03gHwNgMgAADAxGAAVIEZAJWl2g6QARAAAIAkP/qb3N/Cjqq277+1ezIAKku1HSADIAAAAEkMgCowA6CyVNsBMgACAACQxACoAjMAKku1HSADIAAAAEkMgCowA6CyVNsBMgACAACQxACoAjMAKku1HSADIAAAAEkMgCowA6CyVNsBMgACAACQxACoAjMAKku1HSADIAAAAEkMgCowA6CyVNsBGu8AeLsBEAAAYGIwAKrADIDKUm0HyAAIAABAEgOgCswAqCzVdoAMgAAAACQxAKrADIDKUm0HyAAIAABAEgOgCswAqCzVdoAMgAAAACQxAKrADIDKUm0HyAAIAABAEgOgCswAqCzVdoAMgAAAACQxAKrADIDKUm0HyAAIAABAEgOgCswAqCzVdoAMgAAAACQxAKrADIDKUm0HyAAIAABAEgOgCswAqCzVdoAMgAAAACQxAKrADIDKUm0HyAAIAABAEgOgCswAqCzVdoAMgAAAACQxAKrADIDKUm0HyAAIAABAEgOgCswAqCzVdoDGOwDeZgAEAACYGAyAKjADoLJU2wEyAAIAAJDkR9/I/S3sqGr7/lu7JwOgslTbATIAAgAAkMQAqAIzACpLtR0gAyAAAABJDIAqMAOgslTbATIAAgAAkMQAqAIzACpLtR0gAyAAAABJDIAqMAOgslTbATIAAgAAkMQAqAIzACpLtR0gAyAAAABJDIAqMAOgslTbARrvAHi7ARAAAGBiMACqwAyAylJtB8gACAAAQBIDoArMAKgs1XaADIAAAAAkMQCqwAyAylJtB8gACAAAQBIDoArMAKgs1XaADIAAAAAkMQCqwAyAylJtB8gACAAAQBIDoArMAKgs1XaADIAAAAAkMQCqwAyAylJtB8gACAAAQBIDoArMAKgs1XaADIAAAAAkMQCqwAyAylJtB8gACAAAQBIDoArMAKgs1XaADIAAAAAkMQCqwAyAylJtB8gACAAAQBIDoArMAKgs1XaADIAAAAAkMQCqwAyAylJtB8gACAAAQBIDoArMAFhoTz31VFx11VUxf/78mDx5cgwPD8fSpUvjlltuiRdeeGG3POcLL7wQb37zm3uHYebMmbvleSLqO0AGQAAAAJIYAFVgBsACu//++2OfffbZ7ph02GGHxeOPP77Ln/eqq64a9TwGwC2NdwC8zQAIAAAwMRgAVWAGwMJat25dTJ48OZqmialTp8ZNN90UIyMjsWbNmrjkkkt6L9r58+fH888/v8ue97HHHotWqxV77rlnTJs2zQD4exkAAQAASPLje3J/Czuq2r7/1u7JAFhYJ510UjRNE+12O0ZGRrZ5+80339x74X7605/eJc/5yiuvxOLFi6Npmrjxxhtj5syZBsDfywAIAABAEgOgCswAWFBr167tvShXrVr1qo/ZtGlTLFiwIJqmieHh4di4ceO4n/fzn/98748Wv/TSSwbAV8kACAAAQBIDoArMAFhQ1157be9F+cgjj2z3catXr+497sEHHxzXcz755JMxZcqUaJomHnrooYgIA+CrZAAEAAAgiQFQBWYALKjly5dH0zQxZcqUePnll7f7uJGRkd6L9/rrrx/Xc65cuTKaponzzz+/99cMgNtmAAQAACCJAVAFZgAsqH333Teapomjjz56h4979tlney/es8466zU/31133dX7o8S//OUve3/dALhtBkAAAACSGABVYAbAQtqwYUPvBXnaaaft9PH/f3t3H+RnXd/7/0LWaLJLSJBGTYhWaTdJS8W0i0VpLNWjpaLlh4jU3wy/qJRkpCikaI+BQ4J6ICVQaDueAY9V5EynAaEMNwk5hAZs0d0QMI0CUgghEH7eBZpqIESS7r7PH5xcZM3eXJub/Xw+3308Zx4zjnvtfq+F7342+yK7u/vbdo8//vh9erytW7fG61//+qiqKr7yla/0e9mBGACfeeaZIe358w5LOID2dwD8ugEQAABgbDAAKsMMgJm058B0xhlnDHv9lClToqqqOOaYY/bp8c4666yoqire+c53Rl9fX7+XHYgBcCTjWAkHkAEQAACARgyAyjADYCZt3ry5/oDc8+fxDdb06dOjqqo4+uijR/xY//zP/xyHHHJItLW1xfe+9729Xm4A3DsDIAAAAI0YAJVhBsBMGq2/AfiLX/wiZsyYEVVVxQUXXDDgNb4FeO8MgAAAADRiAFSGGQAzabR+BuDFF18cVVXF9OnT4/nnnx/wGr8EZO8MgAAAADRiAFSGGQAzajR+C/C4ceOiqqr4xCc+EcuWLRvQ7vs48sgj6/9v9erV+/Ou7VVpB5ABEAAAgEYMgMowA2BGzZkzJ6qqivb29ti1a9eg13V3d9cfvIsWLRrRY+zrgPX7v//7+/ne9a+0A8gACAAAQCMGQGWYATCjFi5cWH9QrlmzZtDrlixZUl931113jegxDID7lgEQAACARgyAyjADYEbdf//99Qfl/PnzB7ymt7c3Zs2aFVVVxaRJk2Lnzp0H/D78DMC9MwACAADQiAFQGWYAzKzd3wbc1tYW3d3de7186dKl9Qfu4sWL93r5vffeW7987ty5+3QPBsC9MwACAADQiAFQGWYAzKx169bF+PHjo6qq6OjoiMsuuyx6enrinnvuiXnz5tUftJ2dnbFt27a9Xt8AeHAyAAIAANCIAVAZZgDMsNtvvz0mTpw46JjU2dkZGzZsGPB1DYAHJwMgAAAAjRgAlWEGwEx76qmnYsGCBdHZ2RkTJkyISZMmRVdXV1x++eWxffv2QV/PAHhwMgACAADQiAFQGWYAVJJKO4AMgAAAADRiAFSGGQCVpNIOIAMgAAAAjRgAlWEGQCWptAPIAAgAAEAjBkBlmAFQSSrtANrfAfBrBkAAAICxwQCoDDMAKkmlHUAGQAAAABp55LbUX8L2q7Svv3VwMgAqSaUdQAZAAAAAGjEAKsMMgEpSaQeQARAAAIBGDIDKMAOgklTaAWQABAAAoBEDoDLMAKgklXYAGQABAABoxACoDDMAKkmlHUAGQAAAABoxACrDDIBKUmkH0P4OgF83AAIAAIwNBkBlmAFQSSrtADIAAgAA0IgBUBlmAFSSSjuADIAAAAA0YgBUhhkAlaTSDiADIAAAAI0YAJVhBkAlqbQDyAAIAABAIwZAZZgBUEkq7QAyAAIAANCIAVAZZgBUkko7gAyAAAAANGIAVIYZAJWk0g4gAyAAAACNGACVYQZAJam0A8gACAAAQCMGQGWYAVBJKu0AMgACAADQiAFQGWYAVJJKO4AMgAAAADRiAFSGGQCVpNIOIAMgAAAAjRgAlWEGQCWptAPIAAgAAEAjBkBlmAFQSSrtADIAAgAA0IgBUBlmAFSSSjuADIAAAAA0YgBUhhkAlaTSDiADIAAAAI0YAJVhBkAlqbQDyAAIAABAIwZAZZgBUEkq7QDa3wHwawZAAACAseEHt6f+ErZfpX39rYOTAVBJKu0AMgACAADQiAFQGWYAVJJKO4AMgAAAADRiAFSGGQCVpNIOIAMgAAAAjRgAlWEGQCWptAPIAAgAAEAjBkBlmAFQSSrtAPJbgAEAAGjEAKgMMwAqSaUdQAZAAAAAGjEAKsMMgEpSaQeQARAAAIBGDIDKMAOgklTaAWQABAAAoBEDoDLMAKgklXYAGQABAABoxACoDDMAKkmlHUAGQAAAABoxACrDDIBKUmkHkAEQAACARgyAyjADoJJU2gFkAAQAAKARA6AyzACoJJV2ABkAAQAAaMQAqAwzACpJpR1ABkAAAAAaMQAqwwyASlJpB5ABEAAAgEYMgMowA6CSVNoBZAAEObOsugAAIABJREFUAACgEQOgMswAqCSVdgAZAAEAAGjEAKgMMwAqSaUdQAZAAAAAGjEAKsMMgEpSaQeQARAAAIBGDIDKMAOgklTaAWQABAAAoBEDoDLMAKgklXYAGQABAABoxACoDDMAKkmlHUAGQAAAABoxACrDDIBKUmkH0P4OgF8zAAIAAIwNP7gj9Zew/Srt628dnAyASlJpB5ABEAAAgEYMgMowA6CSVNoBZAAEAACgEQOgMswAqCSVdgAZAAEAAGjEAKgMMwAqSaUdQH4JCAAAAI0YAJVhBkAlqbQDyAAIAABAIwZAZZgBUEkq7QAyAAIAANCIAVAZZgBUkko7gAyAAAAANGIAVIYZAJWk0g4gAyAAAACNGACVYQZAJam0A8gACAAAQCMGQGWYAVBJKu0AMgACAADQiAFQGWYAVJJKO4AMgAAAADRiAFSGGQCVpNIOIAMgAAAAjRgAlWEGQCWptAPIAAgAAEAjBkBlmAFQSSrtADIAAgAA0IgBUBlmAFSSSjuADIAAAAA0YgBUhhkAlaTSDiADIAAAAI0YAJVhBkAlqbQDyAAIAABAIwZAZZgBUEkq7QAyAAIAANCIAVAZZgBUkko7gAyAAAAANGIAVIYZAJWk0g4gAyAAAACNGACVYQZAJam0A8gACAAAQCMGQGWYAVBJKu0AMgACAADQiAFQGWYAVJJKO4D2dwD8mgEQAABgbHh0eeovYftV2tffOjgZAJWk0g4gAyAAAACNGACVYQZAJam0A8gACAAAQCMGQGWYAVBJKu0AMgACAADQiAFQGWYAVJJKO4D8EhAAAAAaMQAqwwyASlJpB5ABEAAAgEYMgMowA6CSVNoBZAAEAACgEQOgMswAqCSVdgAZAAEAAGjEAKgMMwAqSaUdQAZAAAAAGjEAKsMMgEpSaQeQARAAAIBGDIDKMAOgklTaAWQABAAAoBEDoDLMAKgklXYAGQABAABoxACoDDMAKkmlHUAGQAAAABoxACrDDIBKUmkHkAEQAACARgyAyjADoJJU2gFkAAQAAKARA6AyzACoJJV2ABkAAQAAaMQAqAwzACpJpR1ABkAAAAAaMQAqwwyASlJpB5ABEAAAgEYMgMowA6CSVNoBZAAEAACgEQOgMswAqCSVdgAZAAEAAGjEAKgMMwAqSaUdQAZAAAAAGjEAKsMMgEpSaQeQARAAAIBGDIDKMAOgklTaAWQABAAAoBEDoDLMAKgklXYA7e8A+DUDIAAAwNhgAFSGGQCVpNIOIAMgAAAAjTy6IvWXsP0q7etvHZwMgEpSaQeQARAAAIBGDIDKMAOgklTaAeRnAAIAANCIAVAZZgBUkko7gAyAAAAANGIAVIYZAJWk0g4gAyAAAACNGACVYQZAJam0A8gACAAAQCMGQGWYAVBJKu0AMgACAADQiAFQGWYAVJJKO4AMgAAAADRiAFSGGQCVpNIOIAMgAAAAjRgAlWEGQCWptAPIAAgAAEAjBkBlmAFQSSrtADIAAgAA0IgBUBlmAFSSSjuADIAAAAA0YgBUhhkAlaTSDiADIAAAAI0YAJVhBkAlqbQDyAAIAABAIwZAZZgBUEkq7QAyAAIAANCIAVAZZgBUkko7gAyAAAAANGIAVIYZADPt6aefjgsuuCBmzpwZEyZMiMmTJ8dxxx0XV1xxRWzfvn2/3vaOHTvi1ltvjXPPPTfe8Y53xOTJk6OtrS0mT54cxx9/fCxevDh+9KMfHaD3ZOBKO4AMgAAAADRiAFSGGQAzbPny5XH44YcPOibNmDEjNm7cuE9v+3vf+14cdthhww5Whx12WNx4440H+D17pdIOIAMgAAAAjRgAlWEGwMxav359TJgwIaqqio6Ojrj00kuju7s7Vq9eHWeffXb9QTtz5sx4/vnnR/z277vvvvptnHDCCbFkyZK4++67Y926dXHXXXfF/Pnz49BDD42qquLQQw+NO++88yC8l+UdQAZAAAAAGjEAKsMMgJl14oknRlVV0dbWFt3d3Xu9fOnSpfUH7he+8IURv/3vfOc78dGPfjQeeeSRQa+59dZb45BDDomqquLoo4+Ovr6+ET/OcJV2ABkAAQAAaMQAqAwzAGbU2rVr6w/K+fPnD3hNb29vzJo1K6qqismTJ8fOnTsPyr2cdtpp9b2sW7fugL/90g4gAyAAAACNGACVYQbAjLrwwgvrD8o1a9YMet2SJUvq61atWnVQ7uXLX/5y/Rg33XTTAX/7pR1ABkAAAAAaMQAqwwyAGTVnzpyoqira29tj165dg17X3d1df/AuWrTooNzLX/3VX9WP8Y//+I8H/O2XdgDt7wD4NQMgAADA2GAAVIYZADPqyCOPjKqq4thjjx3yuq1bt9YfvKeffvpBuZc//uM/rh9jqJ8XuK+VdgAZAAEAAGjk3w7OL9Pc10r7+lsHJwNgJu3YsaP+gDz55JOHvb69vT2qqorjjz/+gN/L+vXr698E/Ju/+Zv79DaeeeaZIe358w5LOIB8CzAAAACNGACVYQbATNpzYDrjjDOGvX7KlClRVVUcc8wxB/Q+fvGLX0RXV1d9L7fddts+vZ2RjGMlHEAGQAAAABoxACrDDICZtHnz5voD8swzzxz2+unTp0dVVXH00Ucf0Pv40z/90/o+5s6du89vxwBoAAQAABiTDIDKMANgJuXwNwAvu+yy+h5+53d+J1544YV9flu+BdgACAAAMCYZAJVhBsBMSv0zAK+99tr68WfMmBFbtmw5IG93sEo7gAyAAAAANGIAVIYZADMq1W8B/od/+Id41ateFVVVxZvf/OZRORBKO4AMgAAAADRiAFSGGQAzas6cOVFVVbS3t8euXbsGva67u7v+4F20aNF+PeZtt90WbW1tUVVVvPGNb4wnnnhiv95e00o7gAyAAAAANGIAVIYZADNq4cKF9QflmjVrBr1uyZIl9XV33XXXPj/eP/3TP8VrXvOaqKoqXve618XDDz+8z29rpJV2ABkAAQAAaMQAqAwzAGbU/fffX39Qzp8/f8Brent7Y9asWVFVVUyaNCl27ty5T4/1ne98p/45ghMnTowHH3xwf259xJV2ABkAAQAAaMQAqAwzAGbW7m8Dbmtri+7u7r1evnTp0voDd/HixXu9/N57761fPnfu3AEf41//9V9j0qRJ9bcbf/vb3z7A78XwlXYAGQABAABoxACoDDMAZta6deti/PjxUVVVdHR0xGWXXRY9PT1xzz33xLx58+oP2s7Ozti2bdterz/cAPjEE0/ElClT6muuvvrqeOihh4b005/+9IC/n6UdQAZAAAAAGjEAKsMMgBl2++23x8SJEwcdkzo7O2PDhg0Dvu5wA+B111034vFqoL9puL+VdgAZAAEAAGjEAKgMMwBm2lNPPRULFiyIzs7OmDBhQkyaNCm6urri8ssvj+3btw/6egbAg5MBEAAAgEYMgMowA6CSVNoBZAAEAACgEQOgMswAqCSVdgAZAAEAAGjEAKgMMwAqSaUdQAZAAAAAGjEAKsMMgEpSaQeQARAAAIBGDIDKMAOgklTaAWQABAAAoBEDoDLMAKgklXYAGQABAABoxACoDDMAKkmlHUAGQAAAABoxACrDDIBKUmkHkAEQAACARgyAyjADoJJU2gG0vwPg1wyAAAAAY4MBUBlmAFSSSjuADIAAAAA08m8rU38J26/Svv7WwckAqCSVdgD5FmAAAAAaMQAqwwyASlJpB5ABEAAAgEYMgMowA6CSVNoBZAAEAACgEQOgMswAqCSVdgAZAAEAAGjEAKgMMwAqSaUdQAZAAAAAGjEAKsMMgEpSaQeQARAAAIBGDIDKMAOgklTaAWQABAAAoBEDoDLMAKgklXYAGQABAABoxACoDDMAKkmlHUAGQAAAABoxACrDDIBKUmkHkAEQAACARgyAyjADoJJU2gFkAAQAAKARA6AyzACoJJV2ABkAAQAAaMQAqAwzACpJpR1ABkAAAAAaMQAqwwyASlJpB5ABEAAAgEYMgMowA6CSVNoBZAAEAACgEQOgMswAqCSVdgAZAAEAAGjEAKgMMwAqSaUdQAZAAAAAGjEAKsMMgEpSaQeQARAAAIBGDIDKMAOgklTaAWQABAAAoBEDoDLMAKgklXYAGQABAABoxACoDDMAKkmlHUAGQAAAABoxACrDDIBKUmkHkAEQAACARgyAyjADoJJU2gFkAAQAAKCRx/536i9h+1Xa1986OBkAlaTSDiADIAAAAI0YAJVhBkAlqbQDyAAIAABAIwZAZZgBUEkq7QAyAAIAANCIAVAZZgBUkko7gAyAAAAANGIAVIYZAJWk0g4gAyAAAACNGACVYQZAJam0A8gACAAAQCMGQGWYAVBJKu0AMgACAADQiAFQGWYAVJJKO4AMgAAAADRiAFSGGQCVpNIOIAMgAAAAjRgAlWEGQCWptAPIAAgAAEAjBkBlmAFQSSrtADIAAgAA0IgBUBlmAFSSSjuADIAAAAA0YgBUhhkAlaTSDiADIAAAAI0YAJVhBkAlqbQDyAAIAABAIwZAZZgBUEkq7QAyAAIAANCIAVAZZgBUkko7gAyAAAAANGIAVIYZAJWk0g4gAyAAAACNGACVYQZAJam0A8gACAAAQCMGQGWYAVBJKu0AMgACAADQiAFQGWYAVJJKO4AMgAAAADRiAFSGGQCVpNIOIAMgAAAAjRgAlWEGQCWptAPIAAgAAEAjBkBlmAFQSSrtADIAAgAA0Mhjd6X+ErZfpX39rYOTAVBJKu0AMgACAADQiAFQGWYAVJJKO4AMgAAAADRiAFSGGQCVpNIOIAMgAAAAjRgAlWEGQCWptAPIAAgAAEAjBkBlmAFQSSrtADIAAgAA0IgBUBlmAFSSSjuADIAAAAA0YgBUhhkAlaTSDiADIAAAAI0YAJVhBkAlqbQDyAAIAABAIwZAZZgBUEkq7QAyAAIAANCIAVAZZgBUkko7gAyAAAAANGIAVIYZAJWk0g4gAyAAAACNGACVYQZAJam0A8gACAAAQCMGQGWYAVBJKu0AMgACAADQiAFQGWYAVJJKO4AMgAAAADRiAFSGGQCVpNIOIAMgAAAAjRgAlWEGQCWptAPIAAgAAEAjBkBlmAFQSSrtADIAAgAA0IgBUBlmAFSSSjuADIAAAAA0YgBUhhkAlaTSDiADIAAAAI0YAJVhBkAlqbQDyAAIAABAIwZAZZgBUEkq7QAyAAIAANCIAVAZZgBUkko7gAyAAAAANGIAVIYZAJWk0g4gAyAAAACNPL4q9Zew/Srt628dnAyASlJpB5ABEAAAgEYMgMowA6CSVNoBZAAEAACgEQOgMswAqCSVdgAZAAEAAGjEAKgMMwAqSaUdQAZAAAAAGjEAKsMMgEpSaQeQARAAAIBGDIDKMAOgklTaAWQABAAAoBEDoDLMAKgklXYAGQABAABoxACoDDMAKkmlHUAGQAAAABoxACrDDIBKUmkHkAEQAACARgyAyjADoJJU2gFkAAQAAKARA6AyzACoJJV2ABkAAQAAaMQAqAwzACpJpR1ABkAAAAAaMQAqwwyASlJpB5ABEAAAgEYMgMowA6CSVNoBZAAEAACgEQOgMswAqCSVdgAZAAEAAGjEAKgMMwAqSaUdQAZAAAAAGjEAKsMMgEpSaQeQARAAAIBGDIDKMAOgklTaAWQABAAAoBEDoDLMAKgklXYAGQABAABoxACoDDMAKkmlHUAGQAAAABoxACrDDIBKUmkH0P4OgNedYgAEAAAYEwyAyjADoJJU2gFkAAQAAKARA6AyzACoJJV2APkWYAAAABp5/O7UX8L2q7Svv3VwMgAqSaUdQAZAAAAAGjEAKsMMgEpSaQeQARAAAIBGDIDKMAOgklTaAWQABAAAoBEDoDLMAKgklXYAGQABAABoxACoDDMAKkmlHUAGQAAAABoxACrDDIBKUmkHkAEQAACARgyAyjADoJJU2gFkAAQAAKARA6AyzACoJJV2ABkAAQAAaMQAqAwzACpJpR1ABkAAAAAaMQAqwwyASlJpB5ABEAAAgEYMgMowA6CSVNoBZAAEAACgEQOgMswAqCSVdgAZAAEAAGjEAKgMMwBm2tNPPx0XXHBBzJw5MyZMmBCTJ0+O4447Lq644orYvn37AXuclStXxqmnnhrTpk2LcePGxbRp0+LUU0+NlStXHrDHGKjSDiADIAAAAI0YAJVhBsAMW758eRx++OGDjkkzZsyIjRs37tdj9PX1xbx584YcrebNmxd9fX0H6L3qX2kHkAEQAACARgyAyjADYGatX78+JkyYEFVVRUdHR1x66aXR3d0dq1evjrPPPrv+oJ05c2Y8//zz+/w4F154Yf22Zs+eHcuWLYu1a9fGsmXLYvbs2fXLLrroogP43r1SaQeQARAAAIBGDIDKMANgZp144olRVVW0tbVFd3f3Xi9funRp/YH7hS98YZ8eY8OGDdHW1hZVVUVXV1e8+OKL/V6+ffv26Orqqu/jiSee2KfHGarSDiADIAAAAI0YAJVhBsCMWrt2bf1BOX/+/AGv6e3tjVmzZkVVVTF58uTYuXPniB/nnHPOqR+np6dnwGt6enrqa84999wRP8ZwlXYAGQABAABoxACoDDMAZtSe35a7Zs2aQa9bsmRJfd2qVatG9Bh9fX0xbdq0+tuIh2rGjBlRVVUcddRRB/xnAZZ2ABkAAQAAaMQAqAwzAGbUnDlzoqqqaG9vj127dg16XXd3d/3Bu2jRohE9xsaNG4f9W4a72/OXhDz55JMjepzhKu0AMgACAADQiAFQGWYAzKgjjzwyqqqKY489dsjrtm7dWn/wnn766SN6jOXLl9eve/XVVw957VVXXVVfu2LFihE9znCVdgBt2bIlTvq1tn22+v+bkP6TEAAAAAefAVAZZgDMpB07dtQfkCeffPKw17e3t0dVVXH88ceP6HGuueaa+nFuuummIa+96aab6muvvfbaET3OM888M6Q9f95hCQfQli1bonfRYek/kQAAAJA3A6AyzACYSXt+i+kZZ5wx7PVTpkyJqqrimGOOGdHj7PlbhFeuXDnktXfeeWd97ZVXXjmixxnJt8eWcAAZAAEAAGhkgwFQ+WUAzKTNmzfXH5BnnnnmsNdPnz49qqqKo48+ekSP88UvfrF+nNWrVw957erVq+trv/SlL43ocQyAAAAAjDmXTIrY9uPUX8L2ywCoCANgNrXa3wBsxW8Bfuq8jnj6/H032CeIn1ww+MteWDj46Pj0+R2x87+9/PIDNU7+eIh7efr8jtg8wPsx1P0fDDsuOiyeH+Kfyy/7z4tfuXawfw/PLzwsnj6/I35wTns8+ZmOfq/zwz8f3fcvhS2fHd33caiPh4Hs+r//Pp4+vyM2ndf/df/jvx4WGz/TEY+d2x6bzuuIb35kfNx0+vj65bs/RijLI+e01/+7VT8Gt31++LPpYHn6/I546rzmj/ns5zpi42c64vFzXz4j/+3P2vu9/G//6LXxLx+fEJvO64hlp42PoyYeEl/749fGxs/s/fnvp0OcNz/ax3/Xux9jJJ8bRuKXP8c+fX5HPPmZ1nxe7vY/PvDag/bPMxdPfHr0/x3+/PMH55/p/7+gI5793Cvvzy0fffnj8MaPjI9N5/X/ONz53w6Ln/3Xwe/jmQX79s/lu/Pa9+uf6VB/5h3Iiv93fHzlg6P7S/Z+9OcdB+3f4S9/vN16xvh40+GHxJc/8NrY8On+/w5/+OevnOE7Lur/ej++oCPWzWuPjcOcUdt+6f147nMdsfxj4+OrH9q3f6bDfR775fdvx0WHxTUnvzamTzwkbj59fP11Vix++ePk6fNffj8e/aXPN9svPCw2fLojrv9/Xhv//PHBf8b64+e27/X/PXh2e3zsmLb4UGdbrDmrPZ4+vyMePLs9Hj/35X9ea85qj7856TX9XmfDp1/+M+Y3PzI+zr7yf8WK//6R+NmSWdH3lRMjVnw24qv/JeKa34tYvyzisf8d8T/fE3HtuyMe+sfUX77ulQFQEQbAbGq1nwE4XKUdQPv7W4ABAAAo05YtW1J/Sbpflfb1tw5OBsCMGo3fAnzHHXfUr+u3ADfPAAgAADA2GQDVChkAM2rOnDlRVVW0t7fHrl27Br2uu7u7/uBdtGjRiB5j48aN9evOnz9/yGvnzZtXX/vkk0+O6HGGq7QDyAAIAAAwNhkA1QoZADNq4cKF9QflmjVrBr1uyZIl9XV33XXXiB6jr68vpk6dGlVVxcyZM4e8dubMmVFVVUybNi36+vpG9DjDVdoBZAAEAAAYmwyAaoUMgBl1//331x+Ug/3tvN7e3pg1a1ZUVRWTJk2KnTt3jvhxPvWpT9WP09PTM+A1PT099TXnnHPOiB9juEo7gAyAAAAAY5MBUK2QATCzdn8bcFtbW3R3d+/18j1/i+/ixYv3evm9995bv3zu3LkDPsZjjz0WbW1tUVVVdHV1xYsvvtjv5S+++GJ0dXXV9/H4448fiHetX6UdQAZAAACAsckAqFbIAJhZ69ati/Hjx0dVVdHR0RGXXXZZ9PT0xD333NPvZ/J1dnbGtm3b9nr9JgNgRMTnP//5+rrZs2fHDTfcEA888EDccMMNMXv27PplCxcuPCjvZ2kHkAEQAABgbDIAqhUyAGbY7bffHhMnThz08Ons7IwNGzYM+LpNB8De3t745Cc/OeQhd9ZZZ0Vvb+9BeR9LO4AMgAAAAGOTAVCtkAEw05566qlYsGBBdHZ2xoQJE2LSpEnR1dUVl19+eWzfvn3Q12s6AO5uxYoVccopp8TUqVNj3LhxMXXq1DjllFPizjvvPIDvzd6VdgAZAAEAAMYmA6BaIQOgklTaAWQABAAAGJsMgGqFDIBKUmkHkAEQAABgbDIAqhUyACpJpR1ABkAAAICxyQCoVsgAqCSVdgAZAAEAAMYmA6BaIQOgklTaAWQABAAAGJsMgGqFDIBKUmkHkAEQAABgbDIAqhUyACpJpR1ABkAAAICxyQCoVsgAqCSVdgAZAAEAAMYmA6BaIQOgklTaAWQABAAAGJsMgGqFDIBKUmkHkAEQAABgbDIAqhUyACpJpR1ABkAAAICxyQCoVsgAqCSVdgAZAAEAAMYmA6BaIQOgklTaAWQABAAAGJsMgGqFDIBKUmkHkAEQAABgbDIAqhUyACpJpR1ABkAAAICxyQCoVsgAqCSVdgAZAAEAAMYmA6BaIQOgklTaAWQABAAAGJsMgGqFDIBKUmkHkAEQAABgbDIAqhUyACpJpR1ABkAAAICxyQCoVsgAqCSVdgAZAAEAAMYmA6BaIQOgkrRp06b6AFq7dm0888wzWVu/fn3yTzoAAACMvvXr1yf/mnR/rF27tn5fNm3alHoOUKIMgErSngcQAAAAcPCtXbs29RygRBkAlSQDIAAAAIwuA+DYzQCoJO3YsSPWrl0ba9eujU2bNiX/K9Ej/WvTJXzbMuzJ85eSef5SOs9hSub5S8k8f1+2adOm+uvvHTt2pJ4DlCgDoNSwZ57xg1NVbp6/KjnPX5We57BKzvNXJef5K72SAVBqmE8eKjnPX5Wc569Kz3NYJef5q5Lz/JVeyQAoNcwnD5Wc569KzvNXpec5rJLz/FXJef5Kr2QAlBrmk4dKzvNXJef5q9LzHFbJef6q5Dx/pVcyAEoN88lDJef5q5Lz/FXpeQ6r5Dx/VXKev9IrGQClhvnkoZLz/FXJef6q9DyHVXKevyo5z1/plQyAUsN88lDJef6q5Dx/VXqewyo5z1+VnOev9EoGQKlhPnmo5Dx/VXKevyo9z2GVnOevSs7zV3olA6AkSZIkSZLUwhkAJUmSJEmSpBbOAChJkiRJkiS1cAZASZIkSZIkqYUzAEqSJEmSJEktnAFQkiRJkiRJauEMgJIkSZIkSVILZwCUJEmSJEmSWjgDoCRJkiRJktTCGQAlSZIkSZKkFs4AKEmSJEmSJLVwBkCpQU8//XRccMEFMXPmzJgwYUJMnjw5jjvuuLjiiiti+/btqW9P2qvvfve7cemll8ZJJ50URx11VIwbNy7a29vj13/912Pu3LnxL//yL6lvUdqnPve5z0VVVbV777039S1JQ/bss8/G5ZdfHu9617vi9a9/fYwbNy7e+MY3xjve8Y747Gc/G93d3alvURqwl156Kf7u7/4u/vAP/zDe8IY31H+W6OzsjE984hPR09OT+hY1xvrpT38ad9xxR1x88cVx0kknxete97r6zwNz584d8dtbuXJlnHrqqTFt2rQYN25cTJs2LU499dRYuXLlgb95KYMMgNIwLV++PA4//PB+X3DuacaMGbFx48bUtynVvfvd7x70+bqnM888M1566aXUtys1bv369dHW1mYAVDF985vf7PcF6kBOOeWU1Lcp7dXmzZvjt37rt4b9s8SCBQuir68v9e1qjDTUc3EkA2BfX1/MmzdvyLc3b948z221XAZAaYjWr18fEyZMiKqqoqOjIy699NLo7u6O1atXx9lnn11/gpg5c2Y8//zzqW9XioiIo48+OqqqiqlTp8Z5550XN998c6xduzZ6enriqquuimnTptXP3Y997GOpb1dqVG9vbxx33HFRVVVMmTLFAKjsu/766+NVr3pV/ZxdvHhx3H333fHd7343VqxYEX/7t38b73vf++IjH/lI6luV+rVr165+49/b3va2+MY3vhE9PT2xatWqWLRoUbS3t9cvX7p0aepb1hhpz4Fu+vTp8f73v3+fBsALL7ywfr3Zs2fHsmXLYu3atbFs2bKYPXt2/bKLLrro4L0zUoIMgNIQnXjiiVFVVbS1tQ34LTpLly6tP0F84QtfSHCH0t6dfPLJceONN8Z//ud/DvjyZ599Njo7O+vnrm8HVgldffXV9X9wWbhwoQFQWfeDH/wgXvOa10RVVTFnzpz42c9+Nui1/ia2cuvmm2+uz9h3vvOdA/554sEHH4xXv/rVUVVVTJ48OXbt2pXgTjXWWrRoUdzW8ufVAAAMt0lEQVRxxx3xk5/8JCIiNm3aNOIBcMOGDfV3E3R1dcWLL77Y7+Xbt2+Prq6u+mvAJ5544kC/G1KyDIDSIK1du7b+hDJ//vwBr+nt7Y1Zs2bVf/jZuXPnKN+ltG/dcccd9fP7M5/5TOrbkYZs8+bN0dHRUQ9+ixcvNgAq69773vdGVVVx5JFHxrPPPpv6dqQRtWDBgvqMvf322we97tRTT62ve+ihh0bxDqWX25cB8JxzzqlfZ7CfY9nT01Nfc+655x7AO5bSZgCUBmnPvxq+Zs2aQa9bsmRJfd2qVatG8Q6lfe/555+vn7cnn3xy6tuRhuyDH/xgvz/cGwCVc48++mj9/LzkkktS34404v7sz/6sfg4//PDDg1732c9+tr7uwQcfHMU7lF5upANgX19f/aNwZs6cOeS1M2bMiKqq4qijjvKzANUyGQClQZozZ05UVRXt7e1DfltDd3d3/Yln0aJFo3iH0r737//+7/Xz9kMf+lDq25EG7cYbb4yqquKII46ILVu2RIQBUHn3xS9+sX5+PvLII/X/v3Xr1nj88cfjueeeS3h30vD9zd/8zYj+BuAhhxwSP//5z0fxDqWXG+kAuHHjxmG/w2t3e/6SkCeffPIA3bGUNgOgNEhHHnlkVFUVxx577JDXbd26tf7kcPrpp4/S3Un71y233FI/bz/3uc+lvh1pwP7jP/4j3vCGN0RVVfHVr361/v8NgMq5D3zgA1FVVRx++OHR19cXf//3fx9ve9vb+v3w+re85S1xySWX+AViyrItW7bExIkTo6qqOOGEEwb8GYDr1q2LcePG+YViStpIB8Dly5fX11999dVDXnvVVVfV165YseIA3bGUNgOgNEA7duwY0bdH7v5NaMcff/wo3J20f/X29sY73vGO+jn+wAMPpL4lacB2/7b1d73rXf2+/cYAqJz71V/91fo/IO75rZQDOeaYY+KHP/xh6luW9uqWW26J8ePH178l9frrr4+enp64++6745JLLonDDjssqqqKt7/97fHjH/849e1qjDbSAfCaa66pr7/pppuGvPamm26qr7322msP0B1LaTMASgO0ZcuW+sA/44wzhr1+ypQp9R/kpdy78sor6+f3qaeemvp2pAG777774pBDDom2trb4/ve/3+9lBkDl3O6/ObX7twBPmjQprr322tiyZUv84he/iAceeCD+6I/+qH4Ov+td74re3t7Uty3t1SOPPBJnnXVWHHLIIXuN169//evjqquuihdeeCH1bWoMN9IBcOnSpfX1K1euHPLaO++8s772yiuvPEB3LKXNACgN0ObNm+sD/8wzzxz2+unTp0dVVXH00UePwt1J+963vvWtaGtri6qqYsqUKfGTn/wk9S1Je/XSSy/Vv2F9oG9RNwAq5w499ND6+XnooYcO+Fsme3t7+42Aw/1NFGm027lzZ1x00UX1f+QeyHHHHRfLly9Pfasaw410ANzzZ7SuXr16yGtXr15dX/ulL33pAN2xlDYDoDRA/gagWrGHH344Jk+eXP/NlG9961upb0kasN0D35ve9KYB/3aJAVA5t/vHglRVFX/yJ38y6HUPP/xwfd2HP/zhUbxDaeheeOGFePe7312P2H/xF38Rjz76aLz00kvx85//PFatWhW/93u/V/8CkL/+679Ofcsao/kbgNLIMgBKA+RnAKrVevLJJ2Pq1Kn1H+ZvueWW1LckDdijjz5a/2D52267bcBrDIDKud2/uKaqqrj++uuHvHbatGlRVVVMnz59lO5OGr4LLrigfg5/4xvfGPCaXbt2xR/8wR9EVVXxqle9Kr73ve+N8l1KfgagNNIMgNIg+S3AapV++MMfxlvf+tb6v9QP9wWplLJ58+ZFVVXx1re+NZYtWzag0047rT53L7744vr/97OolEPHHXdc428xO/744+u/lS3lUF9fXxxxxBFRVVV0dnYOee23v/3t+rl+/vnnj9IdSq800gHwjjvu8FuANaYzAEqDNGfOnKiqKtrb22PXrl2DXtfd3V1/cli0aNEo3qE0fM8++2z8xm/8Rv0c/fKXv5z6lqQhmzt37pC/NXUomzZtSn37Unz84x+vn5OrVq0a8trdY2F7e/so3Z00dD/+8Y8b/xicPb9j5qSTThqlO5ReaaQD4MaNG+vr58+fP+S1u/+DZFVV8eSTTx6gO5bSZgCUBmnhwoX1ob9mzZpBr1uyZEl93V133TWKdygN3c9+9rP47d/+7fr5+Zd/+Zepb0kaNgOgSu/rX/96/Zy85pprhrz2da97XaO/aSWNVs8++2z9/D3ttNOGvHbbtm31tR/84AdH6Q6lVxrpANjX11f/SJyZM2cOee3MmTOjqqqYNm1a9PX1HaA7ltJmAJQG6f777x/2vxD19vbWv6ly0qRJsXPnzlG+S2ngtm/fHieccEL9HL7oootS35J0wPIzAJVzzz33XLz61a+Oqqrife9736DXfetb36qfx2edddYo3qE0eL29vTFx4sSoqiqmTp065HfB7PntlJ/+9KdH8S6llxvpABgR8alPfap+nYF+S3tERE9PT33NOeeccwDvWEqbAVAaot3fBtzW1hbd3d17vXzP3yS1ePHi0b9BaYBeeumleP/7318/N88777zUtyQd0AyAyr09v8BctmzZXi/ftm1bvP3tb6+vWbt2bYK7lAbuYx/7WP3cvOSSSwa8ZuvWrf1+xIjvglGK9mUAfOyxx6KtrS2qqoqurq548cUX+738xRdfjK6urvprwMcff/wg3LmUJgOgNETr1q2L8ePHR1VV0dHREZdddln09PTEPffc0+/nQnR2dsa2bdtS364UEREf/vCH6+fme97znvj+978fDz300KAee+yx1LcsjSgDoHJvy5Yt8aY3van+AvLcc8+Ne+65Jx588MG47rrr6m8tq6oqPvWpT6W+Xalfjz76aEyYMKF+jn7oQx+Km2++OdatWxfd3d1x1VVX1c/vqqrive99b+pb1hjpvvvui+uuu652xRVX1M/DE044od/LrrvuukHfzuc///n69WbPnh033HBDPPDAA3HDDTfE7Nmz65ctXLhw9N45aRQyAErDdPvtt9ffCjGQzs7O2LBhQ+rblOpG+nPT3vzmN6e+ZWlEGQBVQj/4wQ/i137t14Y8fz/5yU/68SHKsrvvvjuOPPLIYf8M8Z73vCe2bt2a+nY1RhrpzwkerN7e3vjkJz855OueddZZ0dvbO4rvnXTwMwBKDXrqqadiwYIF0dnZGRMmTIhJkyZFV1dXXH755bF9+/bUtyf1ywCoVs8AqFJ64YUX4oorrojf/d3fjSOOOCLGjRsXRx11VJxxxhlxzz33pL49aciee+65uPzyy+PEE0+MX/mVX4lXv/rVMX78+HjLW94SH/3oR+PWW2/1yxE0qh2oAXB3K1asiFNOOSWmTp0a48aNi6lTp8Ypp5wSd9555yi8N9LoZwCUJEmSJEmSWjgDoCRJkiRJktTCGQAlSZIkSZKkFs4AKEmSJEmSJLVwBkBJkiRJkiSphTMASpIkSZIkSS2cAVCSJEmSJElq4QyAkiRJkiRJUgtnAJQkSZIkSZJaOAOgJEmSJEmS1MIZACVJkiRJkqQWzgAoSZIkSZIktXAGQEmSJEmSJKmFMwBKkiRJkiRJLZwBUJIkSZIkSWrhDICSJEmSJElSC2cAlCRJkiRJklo4A6AkSZIkSZLUwhkAJUmSJEmSpBbOAChJkiRJkiS1cAZASZIkSZIkqYUzAEqSJEmSJEktnAFQkiRJkiRJauEMgJIkSZIkSVILZwCUJEmSJEmSWjgDoCRJkiRJktTCGQAlSZIkSZKkFs4AKEmSJEmSJLVwBkBJkiRJkiSphTMASpIkSZIkSS2cAVCSJEmSJElq4QyAkiRJkiRJUgtnAJQkSZIkSZJaOAOgJEmSJEmS1MIZACVJkiRJkqQWzgAoSZIkSZIktXAGQEmSJEmSJKmFMwBKkiRJkiRJLZwBUJIkSZIkSWrhDICSJEmSJElSC2cAlCRJkiRJklo4A6AkSZIkSZLUwhkAJUmSJEmSpBbOAChJkiRJkiS1cAZASZIkSZIkqYUzAEqSJEmSJEktnAFQkiRJkiRJauEMgJIkSZIkSVILZwCUJEmSJEmSWjgDoCRJkiRJktTCGQAlSZIkSZKkFs4AKEmSJEmSJLVwBkBJkiRJkiSphTMASpIkSZIkSS2cAVCSJEmSJElq4QyAkiRJkiRJUgtnAJQkSZIkSZJaOAOgJEmSJEmS1MIZACVJkiRJkqQWzgAoSZIkSZIktXAGQEmSJEmSJKmFMwBKkiRJkiRJLZwBUJIkSZIkSWrhDICSJEmSJElSC/d/ALHZ+bv8cFurAAAAAElFTkSuQmCC\" width=\"640\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(np.arange(0, len(full_pulse)/20000, 1/20000), full_pulse)\n",
+    "for i in range(255):\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 200,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def full_binary_sequence(sampling_rate, params):\n",
+    "    \n",
+    "    \n",
+    "    bin_width = params['bin_size']*sampling_rate\n",
+    "    \n",
+    "    full_pulse = []\n",
+    "    for i in range(2**num_of_bins):\n",
+    "        bin_width = params['bin_size']*sampling_rate\n",
+    "        binary = bin(i)[2:]\n",
+    "        #print(binary)\n",
+    "\n",
+    "        while len(binary) < num_of_bins:\n",
+    "            binary = '0'+binary\n",
+    "        bin_pulse = [int(i) for i in binary for j in range(int(bin_width))]\n",
+    "        #print(bin_pulse)\n",
+    "\n",
+    "        full_pulse.extend(bin_pulse)\n",
+    "\n",
+    "    \n",
+    "    onset = np.zeros(int(sampling_rate * params['onset']))\n",
+    "    offset = np.zeros(int(sampling_rate * params['offset']))\n",
+    "\n",
+    "    \n",
+    "    \n",
+    "    \n",
+    "    total_length = round(params['onset'] + params['offset'] + len(full_pulse)/sampling_rate, 10)\n",
+    "    return np.hstack((onset, full_pulse, offset)), np.linspace(0, total_length, total_length * sampling_rate)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 201,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/warnert/miniconda3/envs/local/lib/python3.7/site-packages/ipykernel_launcher.py:27: DeprecationWarning: object of type <class 'float'> cannot be safely interpreted as an integer.\n"
+     ]
+    }
+   ],
+   "source": [
+    "test = full_binary_sequence(20000, params)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 203,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\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('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",
+       "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 = $('<div/>');\n",
+       "    this._root_extra_style(this.root)\n",
+       "    this.root.attr('style', 'display: inline-block');\n",
+       "\n",
+       "    $(parent_element).append(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen =  function () {\n",
+       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+       "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
+       "            fig.send_message(\"refresh\", {});\n",
+       "        }\n",
+       "\n",
+       "    this.imageObj.onload = function() {\n",
+       "            if (fig.image_mode == 'full') {\n",
+       "                // Full images could contain transparency (where diff images\n",
+       "                // almost always do), so we need to clear the canvas so that\n",
+       "                // there is no ghosting.\n",
+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "            }\n",
+       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "        };\n",
+       "\n",
+       "    this.imageObj.onunload = function() {\n",
+       "        fig.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\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",
+       "\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",
+       "\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]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\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",
+       "    {\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.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",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\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",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\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",
+       "    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",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\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",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\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,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"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\";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 = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\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.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('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",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\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",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        event.shiftKey = false;\n",
+       "        // Send a \"J\" for go to next cell\n",
+       "        event.which = 74;\n",
+       "        event.keyCode = 74;\n",
+       "        manager.command_mode();\n",
+       "        manager.handle_keydown(event);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\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('matplotlib', mpl.mpl_figure_comm);\n",
+       "}\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
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JgYQQDkWr1hdFwDnCIAAXXb5vQIgUC77NxECIJkYQADlWLS8PgDOXbQi97EAmsafxj6bzNCvXy4AAuWwfxMhAJKJAQRQjkXL6gPgvMUCIEBXXVETAL92+QO5jwRQZf8mQgAkEwMIoBwLl62qC4AvCIAAXXblfWkA/K8/CoBAOezfRAiAZGIAAZTj5Vc6CYBLBECArrqqJgB+9Q9tuY8EUGX/JkIAJBMDCKAcLy1dWRcA5y9ZmftYAE3jz/dPT2bof1wmAALlsH8TIQCSiQEEUI4XOwmALy0VAAG66uq2NAB+RQAECmL/JkIAJBMDCKAc85fUB8CXX1mV+1gATePqB2akAfBSARAoh/2bCAGQTAwggHK8sGRFXQBcIAACdNk1NQHwy5fcn/tIAFX2byIEQDIxgADKMW9xfQBcuEwABOiqa8elAfBLAiBQEPs3EQIgmRhAAOWYu6g+AC5avjr3sQCaxl8fnJnM0C9efF/uIwFU2b+JEADJxAACKMfzi5bXBcDFKwRAgK66viYA/rsACBTE/k2EAEgmBhBAOeYsrA+ASwRAgC67oT0NgF+4SAAEymH/JkIAJBMDCKAcsxcsqwuAS1euyX0sgKYxsH1WMkM/f+HY3EcCqLJ/EyEAkokBBFCOWS/XB8BXBECALhs4Pg2AxwqAQEHs30QIgGRiAAGUo7MAuHzV2tzHAmgaNz40O5mhn7tAAATKYf8mQgAkEwMIoBwzX6oPgCtWC4AAXXVTTQA85oJ7cx8JoMr+TYQASCYGEEA5Zrz0igAIsBlufjgNgJ/9nQAIlMP+TYQASCYGEEA5nn2xPgCuXCMAAnTVLRPSAHiUAAgUxP5NhABIJgYQQDmmzV9aFwBXr12X+1gATWPQI88lM/Qzvx2T+0gAVfZvIgRAMjGAAMrxTCcBcI0ACNBlAiBQMvs3EQIgmRhAAOV4+oX6ALh23frcxwJoGrdNnJPM0CPPFwCBcti/iRAAycQAAijH1HlL6gLgOgEQoMsG1wTAfztvdO4jAVTZv4kQAMnEAAIox1OdBMD16wVAgK66/dE0AH5KAAQKYv8mQgAkEwMIoBxPzq0PgAB03R2PPZ/M0E+eOyr3kQCq7N9ECIBkYgABlGPK3MXJ4vruUwVAgEYMrQmARwiAQEHs30QIgGRiAAGU44nn0wD4HgEQoCHDJqUB8PABo3IfCaDK/k2EAEgmBhBAOSbPWZQsru897Y7cRwJoKsMmzU3m6L/2H5n7SABV9m8iBEAyMYAAyjHpuTQAvq+nAAjQiDsnpwHwMAEQKIj9mwgBkEwMIIBy1AbAPXsOzX0kgKZy1+Pzkjl6aD8BECiH/ZsIAZBMDCCAcjw2uyYAni4AAjTi7poA+Il+I3IfCaDK/k2EAEgmBhBAOSbOWpgsrnsJgAANueeJNAAe0lcABMph/yZCACQTAwigHI/UBMC9zxAAARoxYooACJTL/k2EAEgmBhBAOSbMXJAsrvueOSz3kQCaysgnX0jm6MF97sl9JIAq+zcRAiCZGEAA5Xi4JgC+XwAEaMiomgB4kAAIFMT+TYQASCYGEEA5HpqRBsAP9Bqe+0gATWX0U/OTOfrR3nfnPhJAlf2bCAGQTAwggHKMn/5ysrjuJwACNGRMTQA88NcCIFAO+zcRAiCZGEAA5WivDYBnCYAAjbh3ahoADxAAgYLYv4kQAMnEAAIox4PPpgHwg7+8M/eRAJrKfU+/mMzR/X8lAALlsH8TIQCSiQEEUI5x015KFtcPnS0AAjTi/roAeFfuIwFU2b+JEADJxAACKMcDNQHw/wiAAA25/5k0AH74HAEQKIf9mwgBkEwMIIByWFwBNk/bM/4hBSiX/ZsIAZBMDCCAcvjVNYDN460UgJLZv4kQAMnEAAIohzevB9g8/pgSUDL7NxECIJkYQADlGDs1DYAH/FoABGhE+/Q0AP7LWcNzHwmgyv5NhABIJgYQQDnGPDU/WVwPFAABGjK+JgDu10sABMph/yZCACQTAwigHKNrAuBHewuAAI14aEYaAD8gAAIFsX8TIQCSiQEEUI5RT76QLK4H9bkn95EAmsrDMxckc/T9Zw7LfSSAKvs3EQIgmRhAAOUYWRMADxYAARoyoSYA7isAAgWxfxMhAJKJAQRQjpFT0gB4SN8RuY8E0FQembUwmaN7nzE095EAquzfRAiAZGIAAZTjnifmCYAAm2FiTQDc63QBECiH/ZsIAZBMDCCActz9eBoAP9FPAARoxGOzFyVzdE8BECiI/ZsIAZBMDCCActxVEwAP7Tcy95EAmsqk52oCYE8BECiH/ZsIAZBMDCCActw5eW6yuB7WXwAEaERtAHxfzztyHwmgyv5NhABIJgYQQDmGTUoD4L8KgAANmTwnDYDvPU0ABMph/yZCACQTAwigHMMmPZ8srocPGJX7SABN5fE5i5M5+p5Th+Q+EkCV/ZsIAZBMDCCAcgx9LA2AR5w7KveRAJrKlLlpAHy3AAgUxP5NhABIJgYQQDnuqAmAnxQAARry5NwlyRzdvYcACJTD/k2EAEgmBhBAOYY8mgbAT503OveRAJrKU/PqA+D69etzHwsgIuzfdBAAycIAAijH4IlzkqX13wRAgIZM7SQArlsnAAJlsH8TIQCSiQEEUI7bagLgkeePyX0kgKby9AtL6wLgWgEQKIT9mwgBkEwMIIByDHrkuWRp/cxvBUCARjwzvz4Arlm7LvexACLC/k0HAZAsDCCAcgiAAJtnWicBcLUACBTC/k2EAEgmBhBAOW6ZMDtZWo/63b25jwTQVJ598ZW6ALhyzdrcxwKICPs3HQRAsjCAAMpx88NpAPysAAjQkOmdBMAVqwVAoAz2byIEQDIxgADKcdNDaQA85gIBEKARM19aJgACxbJ/EyEAkokBBFCOG2sC4OcuGJv7SABNZdbL9QFw+SoBECiD/ZsIAZBMDCCAcvxt/KxkaT32QgEQoBGdBcBXVq7JfSyAiLB/00EAJAsDCKAcA9vTAPh5ARCgIbMX1AfApQIgUAj7NxECIJkYQADluKF9ZrK0fuGi+3IfCaCpzFm4vC4ALlmxOvexACLC/k0HAZAsDCCAclz/YBoA//1iARCgEc8vqg+AiwVAoBD2byIEQDIxgADK8deaAPhFARCgIXMXragLgIuWC4BAGezfRAiAZGIAAZTj2nEzkqX1S5fcn/tIAE1l3uL6ALhw2arcxwKICPs3HQRAsjCAAMpxzQNpAPyyAAjQkBc6CYALXhEAgTLYv4kQAMnEAAIox9U1AfArl7blPhJAU5m/ZGVdAHxZAAQKYf8mQgAkEwMIoBxXt01PA+BlAiBAI15cWh8AX1q6MvexACLC/k0HAZAsDCCAcvylJgD+hwAI0JCXOgmA85cIgEAZ7N9ECIBkYgABlOOq+55Nltav/kEABGjEy6+sqguALyxZkftYABFh/6aDAEgWBhBAOa6sCYD/9ccHch8JoKksXNZJAFwsAAJlsH8TIQCSiQEEUI4rxqYB8GuXC4AAjVi0bHVdAJwnAAKFsH8TIQCSiQEEUI4/1QTAr18+LveRAJrKouX1AXDuIgEQKIP9mwgBkEwMIIByXH7vtGRp/cafBECARixeUR8A5yxcnvtYABFh/6aDAEgWBhBAOf44RgAE2BxLOgmAzwmAQCHs30QIgGRiAAGU4w9jnkmW1v++4sHcRwJoKq+sXFMXAGcvWJb7WAARYf+mgwBIFgYQQDkuG50GwOOuFAABGrFsVX0AnPWyAAiUwf5NhABIJgYQQDkurQmA3xIAARqyfNXaugA48yUBECiD/ZsIAZBMDCCAclw86ulkaf32Ve25jwTQVFasrg+AM156JfexACLC/k0HAZAsDCCAclw0Mg2A3xEAARrSWQCc/qIACJTB/k2EAFismTNnximnnBL77LNP7LDDDtG9e/c48MADY8CAAbFs2Zb5dYIZM2ZEjx494iMf+Ujssssu0a1bt+jevXscfPDBcc4558T8+fO3yHM6YwABlKM2AH73z+NzHwmgqaxas64uAD4rAAKFsH8TIQAWaciQIbHLLrtUX6C119577x3Tpk3brGdcd911scMOO2zwGZVKJd761rfGiBEjttB3lTKAAMpx4YipydJ6/F8EQIBGrF5bHwCnzV+a+1gAEWH/poMAWJiJEydWw9xOO+0UvXv3jra2thgxYkR873vfq75o99lnn1i6dNP+o6KtrS222267qFQqse2228a3v/3tGDRoULS3t8dNN90Uxx57bPU5O+64Y0yfPn3LfpNhAAGU5IJ70gD4PQEQoCFrOgmAT78gAAJlsH8TIQAW5/DDD49KpRLdunWLtra2uo/379+/+sI9++yzN+kZn/vc56pf4+KLL+70np/97GfVe3784x9v0nM2xgACKMfv7k4D4PevFgABGrF23fpOAuCS3McCiAj7Nx0EwIK0t7dXX5QnnHBCp/esW7cu9t1336hUKtG9e/dYvXp1w8/p3r179Vd8N2TRokXVs+y///4NP+P1GEAA5fjt3U8lS+sPrnko95EAmsr69fUBcOo8ARAog/2bCAGwKD179qy+KMeNG7fB+/r27Vu976677mr4OTvuuGNUKpU44IADNnrf2972tqhUKrHffvs1/IzXYwABlOP8u9IAeOK1AiBAo2oD4FMCIFAI+zcRAmBRDj300Or77q1Zs2aD97W1tVVfvL169Wr4OR/+8Idf9ycAFy9eXH3Gl770pYaf8XoMIIBynFcTAH947cO5jwTQdGoD4JS5i3MfCSAi7N90EAAL8upP3H3oQx/a6H0LFiyovni/8pWvNPycyy67rPr5l156aaf3/PznP6/ec+eddzb8jNdjAAGU49w7n0wD4HUCIECj3n1qGgCfeF4ABMpg/yZCACzGihUrqi/IY4455nXvf/XXeA866KCGn7V27dr4+te/Xv0rwMcff3wMHjw4xo8fHzfffHN88YtfrJ6lR48em/LtxOzZszd6vfb9Dg0ggLwGDE8D4I8EQICGvacmAD4+RwAEyiAAEiEAFmP+/PnVF+RXv/rV173/7W9/+2a/P9/AgQOrvw5cex1xxBGb9ZN/nX3NDV0GEEBe/YdPSZbWH/91Qu4jATSdPU67I5mlk+csyn0kgIgQAOkgABZi1qxZ1RfkN7/5zde9f7fddotKpRJ77LHHJj1vypQp8YUvfCG6devWaZR705veFF//+tfj+eef36SvLwACNI9+w9IAeNL1AiBAo97XMw2Ak54TAIEyCIBECIDF+Hv+BOC9994bu+66a1Qqldh9993jmmuuiXnz5sXq1atj9uzZcfHFF0f37t2jUqnEP//zP8cTTzzR8DP8CjBA8/hNTQD8iQAI0LA9ew5NZuljswVAoAwCIBECYDH+Xu8BuHLlynjnO98ZlUol3vGOd8TcuXM7vW/y5Mnxpje9KSqVShxwwAENPaMrDCCAcvQZ+kSytP70hkdyHwmg6ex5ehoAH529MPeRACLC/k0HAbAgf4+/Ajxo0KDq5/bu3Xuj9x5//PHVeydOnNjQc16PAQRQjj53pAHw5IECIECj9j4jDYATZwmAQBns30QIgEU59NBDo1KpxI477hhr1qzZ4H1tbW3VF2+vXr0aekbfvn2rnzts2LCN3nvppZdW773hhhsaes7rMYAAytG7JgD+bOCW/UcfgP8X7HPGsGSWPiIAAoWwfxMhABbltNNOq74ox40bt8H7XhvxGv1LvQMGDKh+7u23377Rey+44ILqvTfddFNDz3k9BhBAOX495PFkaT3lbwIgQKP2PTMNgA/PXJD7SAARYf+mgwBYkAcffLD6ojzhhBM6vWfdunWx7777RqVSiV133TVWr17d0DNuuumm6jN+8YtfbPTeL3/5y9V7H3744Yae83oMIIBynHN7GgB/LgACNOz9NQHwoRkCIFAG+zcRAmBxXv014G7dukVbW1vdx/v371994Z511ll1Hx81alT148cdd1zdxxcuXBg77LBDVCqVeMtb3hKPPfZYp+cYOleLDgwAACAASURBVHRobLvttlGpVOKd73xnrFu3bnO/tYQBBFCOswenAfB/bxQAARr1gV7DawLgy7mPBBAR9m86CICFmTBhQrz5zW+OSqUSO+20U/Tp0yceeOCBGDlyZHz/+9+vvmj32muvWLJkSd3nv14AjIg455xzqvfstNNOcdppp8XIkSPjkUceieHDh8eJJ54Y3bp1q95zzTXXbPHv0wACKMcvB09OltYeNz2a+0gATWe/s9IAOH66AAiUwf5NhABYpMGDB8fOO+9cfYHWXnvttVc8/fTTnX5uVwLg+vXr46c//Wlss802G3xGpVKJN7zhDTFgwICt8j0aQADlOOu2NACeerMACNCof6kJgO0CIFAI+zcRAmCxZsyYESeffHLstddescMOO8Suu+4aBxxwQPTr1y+WLVu2wc/rSgB81UMPPRQ/+MEPYr/99ou3vOUtsd1228Uuu+wS+++/f/zsZz+Lp556agt/V/8/AwigHPUBsPO3hwBgwz74yzuTWTpu2ku5jwQQEfZvOgiAZGEAAZTjzEGTkqX1tFsEQIBGfejsNAA+IAAChbB/EyEAkokBBFCOM25NA+DptwqAAI368Dl3JbO07RkBECiD/ZsIAZBMDCCAcpx+62PJ0nrGrZNyHwmg6XykJgDe/8yLuY8EEBH2bzoIgGRhAAGUo+ctaQA8c5AACNCo/X+VBsD7nhYAgTLYv4kQAMnEAAIox6k3pwGwlwAI0LD9f3V3MkvHThUAgTLYv4kQAMnEAAIox6k3P5osrWfdNjn3kQCazgG/TgPgvVPn5z4SQETYv+kgAJKFAQRQjh43pQHwl4MFQIBGfbR3GgDHPCUAAmWwfxMhAJKJAQRQjl/cmAbAswc/nvtIAE3nY73vSWbpaAEQKIT9mwgBkEwMIIBy/O+NE5Ol9ZzbBUCARh3UJw2AI598IfeRACLC/k0HAZAsDCCAcpzytzQA/koABGjYwbUBcIoACJTB/k2EAEgmBhBAOX42MA2Ave94IveRAJrOIX1HJLN0xJR5uY8EEBH2bzoIgGRhAAGU4+SBjyRLax8BEKBhH/9NGgDveUIABMpg/yZCACQTAwigHCffUBMAhwqAAI36RL80AN71uAAIlMH+TYQASCYGEEA5fnL9hGRp7Tt0Su4jATSdQ/uNTGbpnZPn5j4SQETYv+kgAJKFAQRQjpNqAuBvhgmAAI06rH8aAIcLgEAh7N9ECIBkYgABlOPHf00DYP/hAiBAow4fMCqZpcMmCYBAGezfRAiAZGIAAZTjf2oC4IDhT+Y+EkDTOaIuAD6f+0gAEWH/poMASBYGEEA5fnTdw8nSeu6dAiBAo444Nw2AdzwmAAJlsH8TIQCSiQEEUI4fXpsGwPMEQICGfbImAA55VAAEymD/JkIAJBMDCKAcJ177UBoA73oq95EAms6nzhudzNLbH52T+0gAEWH/poMASBYGEEA5fnBNGgB/e7cACNCoT5+fBsDBEwVAoAz2byIEQDIxgADKccLVaQD83d1Tcx8JoOkcef6YZJYOeuS53EcCiAj7Nx0EQLIwgADK8f2rxydL6+/vEQABGvWZ3wqAQJns30QIgGRiAAGU4/i/pAHwAgEQoGG1AfDWCQIgUAb7NxECIJkYQADl+O6f0wB40cincx8JoOl89nf3JrP0lgn+Gxcog/2bCAGQTAwggHJ898/tAiDAZjr692kAvPlh/40LlMH+TYQASCYGEEA5vnNVGgAvHiUAAjTqmAvSAHjjQ/4bFyiD/ZsIAZBMDCCAcnzrygeTpfWSUc/kPhJA0/ncBWOTWfq38bNyHwkgIuzfdBAAycIAAijHcTUB8NLRAiBAo469MA2AAwVAoBD2byIEQDIxgADK8d9XpAHwD2MEQIBGff6i+9IA2C4AAmWwfxMhAJKJAQRQjm/WBMA/jpmW+0gATecLNQHwhvaZuY8EEBH2bzoIgGRhAAGU4xt/GpcsrZffKwACNOrfL04D4F8fFACBMti/iRAAycQAAijH1y8XAAE21xdrAuB14wRAoAz2byIEQDIxgADK8bXLH0iW1ivGPpv7SABN58uX3J/M0mvHzch9JICIsH/TQQAkCwMIoBz/9cc0AF55nwAI0Kj/e2kaAK95QAAEymD/JkIAJBMDCKAc//mHNABeJQACNOwrl7Yls/Tqtum5jwQQEfZvOgiAZGEAAZTjPy5Ll9Y/3z8995EAms5XambpXwRAoBD2byIEQDIxgADKYWkF2Hz+MQUolf2bCAGQTAwggHLU/dqa960CaJi3UwBKZf8mQgAkEwMIoBzeuB5g8/mDSkCp7N9ECIBkYgABlOPLl6QB8NpxAiBAo752eRoA/zRWAATKYP8mQgAkEwMIoBxfvPi+ZGm9btzM3EcCaDpfv3xcMksvv3da7iMBRIT9mw4CIFkYQADl+PeaAHj9gwIgQKO+8ScBECiT/ZsIAZBMDCCAcnzhojQA3tAuAAI06ptXPJjM0j+OEQCBMti/iRAAycQAAijH52sC4MD2WbmPBNB0/rsmAF42+pncRwKICPs3HQRAsjCAAMpx7IVj0wA4XgAEaNRxV6YB8FIBECiE/ZsIAZBMDCCAcnzugjQA/k0ABGjYt2oC4CWjBECgDPZvIgRAMjGAAMpxzAX3JkvrTQ+ZywCN+s5V7cksvXjU07mPBBAR9m86CIBkYQABlOPo36cB8OaHzWWARn33z2kAvGikAAiUwf5NhABIJgYQQDk++7s0AN4ywVwGaNR3/zw+maUXjpia+0gAEWH/poMASBYGEEA5PvPbMcnSeuuE53IfCaDpHP+XNABecI8ACJTB/k2EAEgmBhBAOWoD4KBHBECARn3/6jQA/l4ABAph/yZCACQTAwigHEeenwbA2ybOyX0kgKZzwtUPJbP0d3cLgEAZ7N9ECIBkYgABlOPT549OltbBAiBAw35wTRoAz7/rqdxHAogI+zcdBECyMIAAyvGp89IAePujAiBAo068Ng2A5wmAQCHs30QIgGRiAAGU45PnjkqW1iGPPp/7SABN54fXPpwGwDufzH0kgIiwf9NBACQLAwigHEfUBMChjwmAAI360XVpADxXAAQKYf8mQgAkEwMIoBxHDEgD4LBJAiBAo/7nrxOSWTpguAAIlMH+TYQASCYGEEA5Dq8LgHNzHwmg6fy4JgD2GzYl95EAIsL+TQcBkCwMIIByHNZ/ZLK0Dp8sAAI06qTr0wD4GwEQKIT9mwgBkEwMIIByHNovDYB3CoAADftJTQDsO1QABMpg/yZCACQTAwigHJ/oNyJZWu9+fF7uIwE0nZNveCSZpX2GPpH7SAARYf+mgwBIFgYQQDk+/ps0AN7zhAAI0KiTB6YBsPcdAiBQBvs3EQIgmRhAAOU4pG8aAEdMEQABGvWzgROTWfrrIY/nPhJARNi/6SAAkoUBBFCOg/vckyytI6e8kPtIAE3nlL+lAfBXtwuAQBns30QIgGRiAAGU46CaADjqSQEQoFH/e2MaAM8RAIFC2L+JEADJxAACKMfHeqcBcPRT83MfCaDp/OLGR5NZevZgARAog/2bCAGQTAwggHJ8tPfdydI6RgAEaFiPm9IAeNZtk3MfCSAi7N90EADJwgACKMcBv04D4L1TBUCARp16swAIlMn+TYQASCYGEEA59v9VGgDHTn0x95EAms6pNz+WzNJegyblPhJARNi/6SAAkoUBBFCO/X91V7K03v+0AAjQqJ63pAHwTAEQKIT9mwgBkEwMIIByfOScmgD4jAAI0KjTb00D4Om3Ppb7SAARYf+mgwBIFgYQQDk+XBMA2555KfeRAJrOGbdOSmZpz1sEQKAM9m8iBEAyMYAAyvGhs+9MltYHpgmAAI06c1AaAE8TAIFC2L+JEADJxAACKMcHf5kGwAeffTn3kQCazlm3TU5m6ak3C4BAGezfRAiAZGIAAZTjX84aniyt7dMFQIBG1QfAR3MfCSAi7N90EADJwgACKMd+NQFwvAAI0LBfDk4D4C9uFACBMti/iRAAycQAAijHB3qlAfChGQIgQKPOHvx4Mkv/98aJuY8EEBH2bzoIgGRhAAGU4/1nDqsJgAtyHwmg6ZxzexoAf/43ARAog/2bCAGQTAwggHLsWxMAJ8wUAAEa9eshaQA8RQAECmH/JkIAJBMDCKAc+5yRBsBHZi3MfSSAptP7jieSWXrywEdyHwkgIuzfdBAAycIAAijH3mcMTZbWiQIgQMP61AbAGwRAoAz2byIEQDIxgADKsefpaQB8dLYACNCoPkPTAPhTARAohP2bCAGQTAwggHLs2TMNgJOeW5T7SABN5zfDpiSz9CfXT8h9JICIsH/TQQAkCwMIoBzv63mHAAiwmfrVBMCTBECgEPZvIgRAMjGAAMqxx2lpAJw8RwAEaFT/4WkA/J+/CoBAGezfRAiAZGIAAZTjPacOSZbWx+cszn0kgKYzYPiTySz90XUP5z4SQETYv+kgAJKFAQRQjnfXBMAnnhcAARp17p1pAPyhAAgUwv5NhABIJgYQQDleu7Du3mNIPDl3Se4jATSd8+56Kg2A1wqAQBns30QIgGRiAAGUozYAPjVPAARo1Pk1AfAH1zyU+0gAEWH/poMASBYGEEAZ1q9fXxcApwqAAA377d1pADzhagEQKIP9mwgBkEwMIIAyrF1XHwCffkEABGjU7+6emszS7189PveRACLC/k0HAZAsDCCAMqxZu64uAD4zf2nuYwE0nQvuSQPg9/4iAAJlsH8TIQCSiQEEUIbVnQTAaQIgQMMuHJEGwOMFQKAQ9m8iBEAyMYAAyrBqTX0AfPbFV3IfC6DpXDTy6WSWfvfP7bmPBBAR9m86CIBkYQABlGHF6rV1AXC6AAjQsNoA+J2rBECgDPZvIgRAMjGAAMrQWQCc8ZIACNCoi0elAfDbAiBQCPs3EQIgmRhAAGVYvqo+AM56eVnuYwE0nUtHP5PM0m9d+WDuIwFEhP2bDgIgWRhAAGVYtmqNAAiwBVxWEwD/+woBECiD/ZsIAZBMDCCAMryysj4Azl4gAAI06g9j0gD4TQEQKIT9mwgBkEwMIIAyLFmxui4APrdwee5jATSdP46ZlszSb/xpXO4jAUSE/ZsOAiBZGEAAZVjcSQCcIwACNOzyewVAoEz2byIEQDIxgADKsGh5fQCcu2hF7mMBNJ0/jX02maVfv1wABMpg/yZCACQTAwigDIuW1QfAeYsFQIBGXVETAP/rjw/kPhJARNi/6SAAkoUBBFCGhctW1QXAFwRAgIZdeV8aAP/zDwIgUAb7NxECIJkYQABlePmVTgLgEgEQoFFX1QTAr/6hLfeRACLC/k0HAZAsDCCAMry0dGVdAHxx6crcxwJoOn9pm57M0v+4TAAEymD/JkIAJBMDCKAML3YSAF8SAAEadnVNAPzKpQIgUAb7NxECIJkYQABlmL+kPgC+/Mqq3McCaDpXPzAjmaX/99L7cx8JICLs33QQAMnCAAIowwuLV9QFwAUCIEDDrqkJgF++RAAEymD/JkIAJBMDCKAM8zoJgAuXCYAAjbp2XBoAvyQAAoWwfxMhAJKJAQRQhrmL6gPgouWrcx8LoOn89cGZySz94sX35T4SQETYv+kgAJKFAQRQhucXLa8LgItXCIAAjbq+JgB+4SIBECiD/ZsIAZBMDCCAMsxZWB8AlwiAAA27oT0NgJ8XAIFC2L+JEADJxAACKMPsBcvqAuDSlWtyHwug6Qxsn5UGwAvH5j4SQETYv+kgAJKFAQRQhlkv1wfAZasEQIBG/W18GgCPFQCBQti/iRAAycQAAihDZwFw+aq1uY8F0HRufGh2MkuPueDe3EcCiAj7Nx0EQLIwgADKMPOl+gC4YrUACNCom2oC4NG/FwCBMti/iRAAycQAAijD9BdfEQABtoCbH04D4Gd/JwACZbB/EyEAkokBBFCGZzsJgCvXCIAAjbplQhoAjxIAgULYv4kQAMnEAAIow7T5S+sC4Oq163IfC6DpDHrkuWSWfua3Y3IfCSAi7N90EADJwgACKMMznQTANQIgQMNqA+CR5wuAQBns30QIgMWaOXNmnHLKKbHPPvvEDjvsEN27d48DDzwwBgwYEMuWLduiz3rwwQfjxBNPjH322Sfe8pa3xI477hjvfe974+ijj47zzjsv5s+fv0WfF2EAAZTi6RfqA+DadetzHwug6dw2cU4ySz99/ujcRwKICPs3HQTAAg0ZMiR22WWX6gu09tp7771j2rRpm/2clStXxvHHHx/bbLPNBp9VqVTi1ltv3QLfVcoAAijD1HlL6gLgOgEQoGGDawLgv50nAAJlsH8TIQAWZ+LEibHDDjtEpVKJnXbaKXr37h1tbW0xYsSI+N73vld90e6zzz6xdOnSTX7OqlWr4rOf/Wz16x166KFx+eWXx3333Rfjxo2LgQMHRs+ePWPPPfcUAAFa2FOdBMD16wVAgEYNefT5ZJZ+SgAECmH/JkIALM7hhx8elUolunXrFm1tbXUf79+/f/WFe/bZZ2/yc84888zq1zn33HM3eu/q1as3+TkbYgABlOHJufUBEIDG3fFYGgA/ee6o3EcCiAj7Nx0EwIK0t7dXX5QnnHBCp/esW7cu9t1336hUKtG9e/dNinPTpk2LN7zhDVGpVOJb3/rW5h57kxhAAGWYMndxsrC++1QBEGBTDK0JgEcMGJX7SAARYf+mgwBYkJ49e1ZflOPGjdvgfX379q3ed9dddzX8nB49ekSlUoltttkmnn322c058iYzgADK8PicNAC+RwAE2CTDJqUB8HABECiE/ZsIAbAohx56aFQqldhxxx1jzZo1G7yvra2t+uLt1atXw89573vfG5VKJQ488MDq/7du3bqYPXt2PPvss7F8+fJNOn8jDCCAMkyesyhZWN972h25jwTQlIZNmpvM03/tPzL3kQAiwv5NBwGwIG9729uiUqnEhz70oY3et2DBguqL9ytf+UpDz5g/f371c0866aRYvHhx/OQnP4nu3btX//9u3brFYYcdFkOGbL2fAjGAAMow6bk0AL6vpwAIsCnunJwGwMMEQKAQ9m8iBMBirFixovqCPOaYY173/h133DEqlUocdNBBDT1n9OjR1ef06NEj9thjj+r/7uw6+eSTN+n7mT179kav177foQEEkE9tANyz59DcRwJoSnc9Pi+Zp5/oNyL3kQAiQgCkgwBYiNf+ZN5Xv/rV173/7W9/e1Qqldhvv/0aes4tt9xSfc4b3/jGqFQqccghh8SYMWNi+fLlsWDBgrjuuuviH//xH6v3XXrppQ1/PxuLirWXAQSQz2OzawLg6QIgwKa4uyYAfvw3AiBQBgGQCAGwGLNmzaq+IL/5zW++7v277bZbVCqV2GOPPRp6zjXXXJPEt/333z9WrFhRd9/UqVOrP2X4D//wDw2/L6AACNAcJs5amCysewmAAJvknifSAHhIXwEQKIMASIQAWIy/108A3njjjUl8Gz58+Abv/fnPf169b/DgwQ09x68AAzSHR2oC4D5nDMt9JICmNHLKCwIgUCQBkAgBsBh/r/cAHD58ePU522+/faxatWqD9959993Ve88888yGnvN6DCCAMkyYuSBZWPc9UwAE2BQjn0wD4MF97sl9JICIsH/TQQAsyN/jrwA//vjj1c/dbbfdNnrvk08+Wb33hBNOaOg5r8cAAijDwzUB8P0CIMAmGVUTAD/WWwAEymD/JkIALMqhhx4alUoldtxxx1izZs0G72tra6u+eHv16tXQM1avXh1veMMbolKpxD/90z9t9N7XxsIf/ehHDT3n9RhAAGV4aMbLycL6gV4bfmsIADZs9FPzk3n60d535z4SQETYv+kgABbktNNOq74ox40bt8H7+vbtW73vzjvvbPg5hx12WFQqldhuu+3ilVde2eB9gwcPrj6nT58+DT9nYwwggDKMn54GwP0EQIBNMqYmAB74awEQKIP9mwgBsCgPPvjg6/7K7bp162LfffeNSqUSu+66a6xevbrh5/z+97+vPue6667b4H3f+ta3qveNHTu24edsjAEEUIb2mgD4L2cJgACbYuzUF5N5eoAACBTC/k2EAFicV38NuFu3btHW1lb38f79+1dfuGeddVbdx0eNGlX9+HHHHdfpM5YuXVr9K8K77757zJs3r9Ovs91221X/0vD69es391tLGEAAZXjw2TQAfvCXjf9kOQAR9z2dBsD9f3VX7iMBRIT9mw4CYGEmTJgQb37zm6NSqcROO+0Uffr0iQceeCBGjhwZ3//+96sv2r322iuWLFlS9/ldCYARETfccENss8021T8GcvHFF8f48eNj7Nix0bNnz+oZunXrFvfdd98W/z4NIIAyjJv2UrKwfuhsARBgU9xfEwA/co4ACJTB/k2EAFikwYMHx84771x9gdZee+21Vzz99NOdfm5XA2BExEUXXRTbb7/9Bp+z0047xaBBg7bCd2gAAZSi7Zk0AP4fARBgk9z/TBoAPywAAoWwfxMhABZrxowZcfLJJ8dee+0VO+ywQ+y6665xwAEHRL9+/WLZsmUb/LxGAmBExOTJk+PEE0+M973vffHmN785dtppp/jgBz8Yv/jFL+L555/fgt9RygACKEPtwuonVgA2zQPT/IMKUCb7NxECIJkYQABlqP2VNe9ZBbBpvKUCUCr7NxECIJkYQABlqH/Ten+1EmBT1P5RJX9VHSiF/ZsIAZBMDCCAMoydmgbAA34tAAJsivbpaQDcTwAECmH/JkIAJBMDCKAMY56anyysBwqAAJtkfG0A7CUAAmWwfxMhAJKJAQRQhtE1AfBjve/JfSSApvTQjAXJPP2AAAgUwv5NhABIJgYQQBlGPflCsrAe1EcABNgUD89MA+C+Zw7LfSSAiLB/00EAJAsDCKAMI2sC4MECIMAmmVATAPc5QwAEymD/JkIAJBMDCKAMI6bMSxbWQ/qOyH0kgKb0yKyFyTzd+4yhuY8EEBH2bzoIgGRhAAGU4Z4nBECALWFiTQDc63QBECiD/ZsIAZBMDCCAMtz9eBoAP9FPAATYFI/NXpTM0z0FQKAQ9m8iBEAyMYAAynBXTQA8tN/I3EcCaEqTnksD4Pt63pH7SAARYf+mgwBIFgYQQBnunDw3WVgP6y8AAmyK2gC4x2kCIFAG+zcRAiCZGEAAZRg2KQ2A/yoAAmySyXPSAPheARAohP2bCAGQTAwggDIMm/R8srAeMWBU7iMBNKUnnl+czNP3nDok95EAIsL+TQcBkCwMIIAyDH2sJgCeOyr3kQCa0pS5aQDcvYcACJTB/k2EAEgmBhBAGe6oCYCfFAABNsmTc5cIgECR7N9ECIBkYgABlOH2R+cky+qnzhud+0gATempefUBcP369bmPBWD/JiIEQDIxgADKMHhiGgD/TQAE2CRTOwmA69YJgEB+9m8iBEAyMYAAynBbTQA88vwxuY8E0JSefmFpXQBcKwACBbB/EyEAkokBBFCGQY88lyyrn/mtAAiwKZ6ZXx8AV69dl/tYAPZvIkIAJBMDCKAMAiDAljGtkwC4ao0ACORn/yZCACQTAwigDLdMmJ0sq0f97t7cRwJoSs+++EpdAFy5Zm3uYwHYv4kIAZBMDCCAMtz8cBoAj/69AAiwKWa8VB8AV6wWAIH87N9ECIBkYgABlOGmh9IAeMwFAiDAppj50rK6ALh8lQAI5Gf/JkIAJBMDCKAMN9YEwM9dMDb3kQCa0qyX6wPgslVrch8LwP5NRAiAZGIAAZRh4PhZybJ67IUCIMCm6CwAvrJSAATys38TIQCSiQEEUIaB7WkA/LwACLBJZi+oD4BLBUCgAPZvIgRAMjGAAMpwQ/vMZFn9wkX35T4SQFOas3B5XQBcsmJ17mMB2L+JCAGQTAwggDJc/2AaAP/9YgEQYFM8v6g+AC5aLgAC+dm/iRAAycQAAijDX2sC4BcFQIBNMnfRivoAuEwABPKzfxMhAJKJAQRQhmvHzUiW1S9dcn/uIwE0pXmL6wPgwmWrch8LwP5NRAiA/x979x5vdV0n+n/NidOZwEoex0fnnDo9msZCLGcaR2zswnSZmWpypss05kxlTpmSTjVjNqWo4CUgwFtmXjIvmYqEpqLcBcTL5iIiiHgD5KYiqIggICC8f3/8Hu3jZ+3tJtaC3t/lfj4fj88/7cVeHx6Ptd7j+zXstUliAAFUw69nlgHwny8RAAEasWZDxwC47iUBEMhn/yZCACSJAQRQDdfUBcAjLmnLvhJAS1q74eUOAfC5jS9nXwvA/k1ECIAkMYAAquGatmVlALxUAARoxLMbOwbAZwVAoALs30QIgCQxgACq4ep7ywD4ZQEQoCHPdRIA124QAIF89m8iBECSGEAA1XDVPU8Uy+qRlwmAAI14/qWtHQLgmg1bsq8FYP8mIgRAkhhAANVwZV0A/NdfzMy+EkBLemFTJwHwRQEQyGf/JkIAJIkBBFANV9xdBsCvXC4AAjRi/aZtHQLg6vUCIJDP/k2EAEgSAwigGn5ZFwC/evms7CsBtKT1mzsGwKfXb86+FoD9m4gQAEliAAFUw+V3LS2W1a/9UgAEaMSLWzoGwKdeEACBfPZvIgRAkhhAANXwixllADzqitnZVwJoSRtf3t4hAD4pAAIVYP8mQgAkiQEEUA2XzVhSLKtfFwABGvJSJwFw5fObsq8FYP8mIgRAkhhAANVw6Z1lADz6SgEQoBGbtgqAQDXZv4kQAEliAAFUw8XTywD4bwIgQEM2b32lQwBc8ZwACOSzfxMhAJLEAAKohp9PX1wsq9+4ak72lQBa0pZtHQPg8udeyr4WgP2biBAASWIAAVTDRdPKAHjM1QIgQCNe3t4xAC57VgAE8tm/iRAASWIAAVRDxwB4X/aVAFrS1u07OgTApWs3Zl8LwP5NRAiAJDGAAKrhZ1MfL5bVb/1KAARoxLZXOgbAJQIgUAH2byIEQJIYQADV8NM7//13XwAAIABJREFUygB4rAAI0JDtnQTAxWsEQCCf/ZsIAZAkBhBANVwwpQyAx10jAAI04pUdOzsJgBuyrwVg/yYiBECSGEAA1XD+lMeKZfXbv56bfSWAlrRzZ8cA+NgzAiCQz/5NhABIEgMIoBrOm1wGwOOvFQABGlUfAB9dLQAC+ezfRAiAJDGAAKrh3LoAeMK192dfCaBl1QfAR1a/mH0lAPs3ESEAksQAAqiGcyY9WgbA6wRAgEb9ycllAHz4aQEQyGf/JkIAJIkBBFANIyeWAfA718/LvhJAy/rTU8YVM3XRUwIgkM/+TYQASBIDCKAaRkx8pFhWvysAAjRs/7oAuPDJ9dlXArB/ExECIEkMIIBqGD6hDIDfGyUAAjTqPQMFQKB67N9ECIAkMYAAqmHY+DIA/ocACNCw9w4cX8zUB1cJgEA++zcRAiBJDCCAahg6/uFiWf3PGx7IvhJAy3rvqWUAXLDqhewrAdi/iQgBkCQGEEA1DB1XBsATRwuAAI064LQyAD6wUgAE8tm/iRAASWIAAVTDkLoA+P3R87OvBNCy+p42oZip81asy74SgP2biBAASWIAAVTDj29fVCyrJ/1GAARo1IGnlwHwfgEQqAD7NxECIEkMIIBqOOu2MgD+QAAEaNj76gLg3OUCIJDP/k2EAEgSAwigGs4cWwbAH45ZkH0lgJZ10KCJdQHw+ewrAdi/iQgBkCQGEEA1nDH2oWJZ/dGNAiBAow4aXAbAOcsEQCCf/ZsIAZAkBhBANQy+tQyAJ98kAAI06s/qAuDsJwRAIJ/9mwgBkCQGEEA1DLplYV0AfDD7SgAt68/PmFTM1FlLn8u+EoD9m4gQAEliAAFUw+l1AfCU3wqAAI36wJllAJwpAAIVYP8mQgAkiQEEUA2n3VwGwFNvFgABGnXwWZOLmXrvkmezrwRg/yYiBECSGEAA1XDqzQ8Wy+ppNy/MvhJAy/rL+gC4WAAE8tm/iRAASWIAAVTDwN+WAfD0WwRAgEYdcnYZAO8RAIEKsH8TIQCSxAACqIaTbyoD4CABEKBhh5w9pZipdz8uAAL57N9ECIAkMYAAquHkmxYUy+rgWx/KvhJAyzr0x2UAvOvxtdlXArB/ExECIEkMIIBq+NGNZQA8Y6wACNCoDw4pA+CdjwmAQD77NxECIEkMIIBq+OGYMgCeOXZR9pUAWtZfDbmjmKnTH12TfSUA+zcRIQCSxAACqIYf/GZ+sayedZsACNCow4aWAXCaAAhUgP2bCAGQJAYQQDWcVBcAzxYAARr2ofoA+IgACOSzfxMhAJLEAAKohu+PLgPgkHEPZ18JoGV9eNjUYqZOfeSZ7CsB2L+JCAGQJAYQQDWcOPqBYlkdKgACNOwjPykD4JRFAiCQz/5NhABIEgMIoBpOvKEuAI4XAAEa9dHhZQCcLAACFWD/JkIAJIkBBFAN/zFqXrGsDhv/SPaVAFpW/+HTipk66aHV2VcCsH8TEQIgSQwggGr4Xl0AHD5BAARo1MdGlAFwogAIVID9mwgBkCQGEEA1fPf6MgCOmCgAAjTq4yOnFzN1wsKns68EYP8mIgRAkhhAANXwnboAOHLio9lXAmhZn6gLgOMfFACBfPZvIgRAkhhAANVwwnX3F8vqOZMEQIBGfeKcMgCOEwCBCrB/EyEAksQAAqiGE64tA+C5AiBAwz5ZFwBvXyAAAvns30QIgCQxgACq4fhr5xbL6nmTH8u+EkDL+ttz7yxm6m0Lnsq+EoD9m4gQAEliAAFUw7d/XQbA86cIgACN+rvzygB463wBEMhn/yZCACSJAQRQDQOuKQPgBVMez74SQMv61Hkzipl6ywNPZl8JwP5NRAiAJDGAAKrh2F/dVyyrP71DAARo1KfPFwCB6rF/EyEAksQAAqiGb9UFwAsFQICG1QfAm+cJgEA++zcRAiBJDCCAajjm6jIAXjRtcfaVAFrW319wVzFTb7rff+cC+ezfRAiAJDGAAKrhmKvnCIAAe8hnf1oGwBvn+u9cIJ/9mwgBkCQGEEA1fPOqMgD+fLoACNCowy8sA+AYARCoAPs3EQIgSQwggGr4tytnF8vqxdOXZF8JoGX9w4V3FzP1N/etzL4SgP2biBAASWIAAVTD0XUB8NI7BUCARn3uZ2UAHC0AAhVg/yZCACSJAQRQDV+/ogyAl80QAAEa9bmL7ilm6g1zVmRfCcD+TUQIgCQxgACq4ai6APiLGUuzrwTQsj5fFwBHzRYAgXz2byIEQJIYQADV8LVfziqW1cvvEgABGvWFn5cB8HoBEKgA+zcRAiBJDCCAavjq5QIgwJ7yxboAeN0sARDIZ/8mQgAkiQEEUA1fuXxmsaxecfcT2VcCaFlfuvjeYqb+euby7CsB2L+JCAGQJAYQQDX86y/KAHjlPQIgQKP++ZIyAF4jAAIVYP8mQgAkiQEEUA3/clkZAK8SAAEadsQlbWUAbFuWfSUA+zcRIQCSxAACqIYvX1ouq1ffuyz7SgAt64i6mforARCoAPs3EQIgSQwggGqoX1b9axWAxh15mf+nClA99m8iBECSGEAA1dDhx9V8XhVAw+o/VsHnqgJVYP8mQgAkiQEEUA31H1jvN1YCNK7+Fyv5zepAFdi/iRAASWIAAVTDP11cBsBrZwmAAI36yuVlAPylAAhUgP2bCAGQJAYQQDV88ef3FMvqdbNWZF8JoGV99fJZxUy9/K6l2VcCsH8TEQIgSQwggGr4Ql0AHDVbAARo1Nd+WQbAX8wQAIF89m8iBECSGEAA1fD5i8oAeMMcARCgUUddMbuYqZfNWJJ9JQD7NxEhAJLEAAKohs/VBcDRc1ZmXwmgZX29LgBeeqcACOSzfxMhAJLEAAKohn/82d1lALxPAARo1NFXlgHwEgEQqAD7NxECIEkMIIBq+IcLywA4Zq6ZDNCob1w1p5ipF08XAIF89m8iBECSGEAA1XD4hXcVy+qNAiBAw75ZFwAvmrY4+0oA9m8iQgAkiQEEUA2f/WkZAG+630wGaNQxVwuAQPXYv4kQAEliAAFUw2cuKAPgb+eZyQCNOubq+4qZ+rOpj2dfCcD+TUQIgCQxgACq4dPnzyiW1ZvnPZl9JYCW9a1flQHwwjsEQCCf/ZsIAZAkBhBANdQHwFseEAABGnXcNWUAvGCKAAjks38TIQCSxAACqIZPnVcGwFvnP5V9JYCWNeCaucVMPX/KY9lXArB/ExECIEkMIIBq+Lvz7iyW1bECIEDDvv3rMgCeN1kABPLZv4kQACtrxYoVcdJJJ0Xfvn2jZ8+e0bt37zj00ENj5MiRsWnTpr3ynJs2bYp3v/vd7YPhXe961155nggDCKAq/ubcMgDetkAABGjU8deWAfBcARCoAPs3EQJgJd1+++3x1re+tf0NWn8OOOCAWLp06R5/3pNOOql4HgEQ4PXvk+dML5bVcQ8+nX0lgJZ1wnX3lwFw0qPZVwKwfxMRAmDlzJ8/P3r27Bm1Wi322WefGDJkSLS1tcXUqVPj2GOPbX/T9u3bNzZu3LjHnnfevHnxhje8If74j/843vzmNwuAAN3EJ+oC4HgBEKBh/14XAEdOFACBfPZvIgTAyvn4xz8etVotevToEW1tbR2+PmLEiPY37plnnrlHnvOVV16JQw45JGq1Wpx11lnxrne9SwAE6CY+MbIMgBMWCoAAjfrO9fOKmTpi4iPZVwKwfxMRAmClzJkzp/1NOWDAgE4fs2PHjjjwwAOjVqtF7969Y9u2bU0/77nnntv+o8Vbt24VAAG6kY+NmFYXAFdnXwmgZX23LgAOnyAAAvns30QIgJUycODA9jflrFmzXvNxw4YNa3/c5MmTm3rO5cuXR69evaJWq8W0adMiIgRAgG7kr+sC4MSHBECARn1vVBkAfyIAAhVg/yZCAKyU/v37R61Wi169esX27dtf83FtbW3tb95BgwY19Zyf/exno1arxVFHHdX+vwmAAN1H/+FlAJy86JnsKwG0rP+84YFipg4d/3D2lQDs30SEAFgp++23X9RqtfjABz7Q5ePWrVvX/uY94ogjGn6+UaNGtf8o8Zo1a9r/dwEQoPv46PCpxbI6RQAEaNiJ9QFwnAAI5LN/EyEAVsaWLVva35CHH374Lh//ux/bPeywwxp6vnXr1sX/+l//K2q1Wlx22WXF1/ZEAFy1alWX59Wfd2gAAeT5yE/KAHjHwwIgQKNOHF0GwCECIFABAiARAmBlrF27tv0NeeSRR+7y8W9729uiVqvFQQcd1NDzHXPMMVGr1eJDH/pQ7Ny5s/jangiAv/u7/D7HAALI8+FhZQCc+ogACNCo74+eX8zUH9++KPtKAAIgESEAVsbKlSvb35Cv/jy+1/LOd74zarVa7L///rv9XDNmzIg/+qM/ih49esSCBQs6fF0ABOg+PjT0jmJZnfboml3/IQA69YPflAHw7NsEQCCfAEiEAFgZf6h/Afjyyy/HAQccELVaLU466aROH+NHgAG6j8PqAuB0ARCgYf81pgyAZ44VAIF8AiARAmBl/KE+A/D000+PWq0W73znO2Pjxo2dPsYvAQHoPv5qSBkA73xsbfaVAFrWD8csKGbqGWMfyr4SgP2biBAAK+UP8VuA3/jGN0atVotvfOMbMWrUqE7P7+6x3377tf9vU6dObeav1oEBBFANHxwypVhWZwiAAA370Y1lABx8qwAI5LN/EyEAVkr//v2jVqtFr169Yvv27a/5uLa2tvY376BBg3brOXbns/lefT72sY81+bcrGUAA1dDvx2UAvOtxARCgUSffJAAC1WP/JkIArJRTTjml/U05a9as13zcsGHD2h83adKk3XoOARCAVzvk7DIA3rP42ewrAbSsU377YDFTT79lYfaVAOzfRIQAWCmzZ89uf1MOGDCg08fs2LEjDjzwwKjVarHvvvvGtm3b9vg9fAYgQPdxyNmTi2X1XgEQoGED6wLgaTcLgEA++zcRAmDl/O7HgHv06BFtbW0dvj5ixIj2N+7gwYM7fH369OntXz/66KMbuoMACNB9/OVZdQFwiQAI0KhTby4D4Kk3P5h9JQD7NxEhAFbOvHnz4k1velPUarXYZ599YujQoTFz5syYNm1aHHfcce1v2j59+sSGDRs6/HkBEIDd8RdnTiqW1bYlz2VfCaBlnXbzwmKmDvytAAjks38TIQBW0tixY+Mtb3nLa34eX58+fWLx4sWd/lkBEIDd8YG6ADhzqQAI0KjTbykD4CkCIFAB9m8iBMDKWr58eZx44onRp0+f6NmzZ+y7777Rr1+/GD58eGzatOk1/5wACMDu+PMzygA4+4nns68E0LIG3/pQMVNPvmlB9pUA7N9EhABIEgMIoBr+bPDEYlmds0wABGhUfQD80Y0CIJDP/k2EAEgSAwigGg6qC4D3CYAADTtjbBkAfzhGAATy2b+JEABJYgABVMP7B5UBcO5yARCgUWeOXVTM1P8aMz/7SgD2byJCACSJAQRQDe87fUKxrN6/Yl32lQBa1tm3lQHwpN8IgEA++zcRAiBJDCCAajiwLgDOEwABGvbj28sA+P3RAiCQz/5NhABIEgMIoBr6nlYGwAdWvpB9JYCWNWTcw8VMPXH0A9lXArB/ExECIEkMIIBq6HPq+GJZnS8AAjRsaH0AvEEABPLZv4kQAEliAAFUw3vrAuCCVQIgQKOGji8D4H8KgEAF2L+JEABJYgABVMN7B5YBcOGT67OvBNCyfjLhkWKmfm/UvOwrAdi/iQgBkCQGEEA1vGfgOAEQYA8ZXhcAv3u9AAjks38TIQCSxAACqIb9TykD4ENPCYAAjRoxsQyA3xEAgQqwfxMhAJLEAAKohneffHuxrC566sXsKwG0rJETHy1m6r9fd3/2lQDs30SEAEgSAwigGv6kLgA+sloABGjUuZPKAHjCtQIgkM/+TYQASBIDCKAaXr2ovutHt8ejqzdkXwmgZZ07+bFiph5/7dzsKwHYv4kIAZAkBhBAvp07d3YIgI89IwACNOq8ugD47V8LgEA++zcRAiBJDCCAfDt2dAyAjwuAAA07f0oZAAdcIwAC+ezfRAiAJDGAAPK90kkAXLxGAARo1AVTHi9m6nHX3Jd9JQD7NxEhAJLEAALIt/2VHR0C4JK1G7OvBdCyLryjDIDf+pUACOSzfxMhAJLEAALIt62TALhUAARo2M+mlgHwmKsFQCCf/ZsIAZAkBhBAvq3bOwbAJ559KftaAC3rommL6wLgnOwrAdi/iQgBkCQGEEC+Ldte6RAAlwmAAA2rD4DfvEoABPLZv4kQAEliAAHk6ywArnhuU/a1AFrWxdOXFDP1366cnX0lAPs3ESEAksQAAsi3eWvHALjyeQEQoFGX3FkGwKMFQKAC7N9ECIAkMYAA8m3aul0ABNiDLq0LgF+/QgAE8tm/iRAASWIAAeTb+HLHALhqnQAI0KjLZpQB8CgBEKgA+zcRAiBJDCCAfBu2bOsQAJ98YXP2tQBa1i9mLC1m6td+OSv7SgD2byJCACSJAQSQ78VOAuDT6wVAgEZdflcZAL96uQAI5LN/EyEAksQAAsi3fnPHALh6/ZbsawG0rF/e/UQxU79y+czsKwHYv4kIAZAkBhBAvvWbOgbAZ14UAAEadUVdAPzXXwiAQD77NxECIEkMIIB8617a2iEArhEAARp25T1lAPyXywRAIJ/9mwgBkCQGEEC+5zsJgGs3vJx9LYCWdfW9y4qZeuRlbdlXArB/ExECIEkMIIB8z218uUMAfHajAAjQqF+1lQHwiEsFQCCf/ZsIAZAkBhBAvmc7CYDPCYAADbumPgBeIgAC+ezfRAiAJDGAAPKt3dAxAD7/0tbsawG0rGtmLi9m6j9fcm/2lQDs30SEAEgSAwgg35oXt3QIgOsEQICG/bouAH7pYgEQyGf/JkIAJIkBBJDvmU4C4PpN27KvBdCyrpu1opipX/z5PdlXArB/ExECIEkMIIB8q9d3EgA3C4AAjbp+dhkAvyAAAhVg/yZCACSJAQSQ7+n1mzsEwBe3CIAAjRpVFwA/f5EACOSzfxMhAJLEAALI9+QLHQPgBgEQoGE3zCkD4OcEQKAC7N9ECIAkMYAA8q1at6lDANz48vbsawG0rNFzVpYB8Gd3Z18JwP5NRAiAJDGAAPKtfL5jANy0VQAEaNRv7isD4D9cKAAC+ezfRAiAJDGAAPJ1FgA3b30l+1oALWvM3FXFTD38wruyrwRg/yYiBECSGEAA+VY81zEAbtkmAAI06sa6APjZnwqAQD77NxECIEkMIIB8y559SQAE2INuur8MgH9/gQAI5LN/EyEAksQAAsj3RCcBcOv2HdnXAmhZN897spipnz5/RvaVAOzfRIQASBIDCCDf0rUbOwTAba8IgACNuuUBARCoHvs3EQIgSQwggHxLOgmA2wVAgIbVB8BPnScAAvns30QIgCQxgADyLV6zoUMAfGXHzuxrAbSsW+c/VczUvzvvzuwrAdi/iQgBkCQGEEC+x5/pGAB3CIAADRtbFwD/9lwBEMhn/yZCACSJAQSQ77FOAuDOnQIgQKNuX/B0MVM/ec707CsB2L+JCAGQJAYQQL5HV3cMgAA0btyDZQD8hAAIVID9mwgBkCQGEEC+R1a/WCyqf3KyAAjQjPH1AXDk9OwrAdi/iQgBkCQGEEC+RU+VAfDdAiBAUyYsLAPgxwVAoALs30QIgCQxgADyPfTU+mJR3f+UcdlXAmhpEx9aXczVvx4xLftKAPZvIkIAJIkBBJBv4ZNlAHzPQAEQoBmT6gJg/+ECIJDP/k2EAEgSAwggX30AfO/A8dlXAmhpkxc9U8zVjw6fmn0lAPs3ESEAksQAAsi3YNULZQA8VQAEaMaUugD4kZ8IgEA++zcRAiBJDCCAfPNXlgGwjwAI0JQ7Hi4D4IeHCYBAPvs3EQIgSQwggHwP1AXAvqdNyL4SQEub9siaYq5+aOgd2VcCsH8TEQIgSQwggHzzVqwrFtUDTxcAAZox7dEyAB4mAAIVYP8mQgAkiQEEkO/+ugD4PgEQoCnT6wLgXw0RAIF89m8iBECSGEAA+eYuf75YVN8/aGL2lQBa2p2PrS3m6geHTMm+EoD9m4gQAEliAAHku29ZGQAPGiwAAjTjrsfLANjvxwIgkM/+TYQASBIDCCDfnLoA+GcCIEBT7n782WKuHnK2AAjks38TIQCSxAACyDf7iTIA/vkZk7KvBNDS7llcHwAnZ18JwP5NRAiAJDGAAPLNXPpcsah+4EwBEKAZ99YFwL88SwAE8tm/iRAASWIAAeRrW1IGwL8QAAGacu+SMgAeLAACFWD/JkIAJIkBBJCvflH1L1UAmuNfVgNVZP8mQgAkiQEEkK/+R9V8VhVAc2bVBUCfrQpUgf2bCAGQJAYQQL6OH1bvt1UCNKP+lyv57epAFdi/iRAASWIAAeS76/G1xaLa78cCIEAz5iwrA+BBAiBQAfZvIgRAkhhAAPlmPFYGwA8OEQABmjF3eRkA3z9IAATy2b+JEABJYgAB5LuzLgD+1ZA7sq8E0NLmLl9XzNX3nT4h+0oA9m8iQgAkiQEEkG/6o2uKRfWwoQIgQDPuX1EGwAMFQKAC7N9ECIAkMYAA8k17pAyAHxIAAZoyry4A9j1NAATy2b+JEABJYgAB5Jv6yDPFovrhYVOzrwTQ0h5Y+UIxVw84bXz2lQDs30SEAEgSAwgg3x0PlwHwIz8RAAGasWBVGQDfe6oACOSzfxMhAJLEAALIN2VRGQA/OlwABGjGg6vWlwFwoAAI5LN/EyEAksQAAsg3uS4A9h8+LftKAC1t4ZNlAHzPwHHZVwKwfxMRAiBJDCCAfBMfWl0sqn89QgAEaEZ9ANz/FAEQyGf/JkIAJIkBBJBvwsIyAH5MAARoykNPlQHw3Sffnn0lAPs3ESEAksQAAsg3YeHTxaL6iZHTs68E0NIefvrFYq7+iQAIVID9mwgBkCQGEEC+8Q/WBcBzpmdfCaClPbK6DIDv+pEACOSzfxMhAJLEAALIN64uAH5SAARoyqOrNwiAQOXYv4kQAEliAAHku23BU8WS+jfn3pl9JYCW9tgzHQPgzp07s68FdHP2byIEQJIYQAD5xs4vA+DfnScAAjRj8ZqOAfCVHQIgkMv+TYQASBIDCCDfrXUB8FPnzci+EkBLW7xmY4cAuP2VHdnXAro5+zcRAiBJDCCAfLc88GSxpH76fAEQoBlL1nYMgNsEQCCZ/ZsIAZAkBhBAvpvnCYAAe9LSTgLg1u0CIJDL/k2EAEgSAwgg32/nrSqW1M9ccFf2lQBa2hPPvtQhAG7Z9kr2tYBuzv5NhABIEgMIIN9N95cB8LM/FQABmrH8OQEQqB77NxECIEkMIIB8N84tA+DhFwqAAM1Y8dymDgFw81YBEMhl/yZCACSJAQSQb0xdAPyHC+/OvhJAS1v5fMcAuGnr9uxrAd2c/ZsIAZAkBhBAvtH3rSyW1H/8mQAI0IzOAuBLLwuAQC77NxECIEkMIIB8o+eUAfBzF92TfSWAlvbkC5s7BMANW7ZlXwvo5uzfRAiAJDGAAPLdMGdFsaR+XgAEaMpTnQTAFwVAIJn9mwgBkCQGEEC+UbPLAPiFnwuAAM14en3HALh+swAI5LJ/EyEAksQAAsh33awyAH5RAARoyur1WzoGwE0CIJDL/k2EAEgSAwgg37WzlhdL6j9dfG/2lQBa2jMvdgyA617amn0toJuzfxMhAJLEAALI9+uZZQD850sEQIBmrNnQMQA+LwACyezfRAiAJDGAAPJdUxcAj7ikLftKAC1t7YaXOwTA5za+nH0toJuzfxMhAJLEAALId03bsjIAXioAAjTj2Y0dA+CzAiCQzP5NhABIEgMIIN/V95YB8MsCIEBTnuskAK7dIAACuezfRAiAJDGAAPJddc8TxZL6L5fNzL4SQEtb99LWDgFwzYtbsq8FdHP2byIEQJIYQAD5rqwLgP/6CwEQoBkvbOoYAJ8RAIFk9m8iBECSGEAA+a64uwyAX7lcAARoxvpN2zoEwNXrBUAgl/2bCAGQJAYQQL7L71paLKlfvXxW9pUAWtr6zR0D4NPrN2dfC+jm7N9ECIAkMYAA8tUHwK/9UgAEaMaLWzoGwCdfEACBXPZvIgRAkhhAAPl+MaMMgEddMTv7SgAtbePL2zsEwFXrNmVfC+jm7N9ECIAkMYAA8l02Y0mxpH5dAARoykudBMCVzwuAQC77NxECIEkMIIB8l95ZBsCjrxQAAZqxaasACFSP/ZsIAZAkBhBAvounlwHw3wRAgKZs3vpKhwC44jkBEMhl/yZCACSJAQSQ7+fTFxdL6jevmpN9JYCWtmVbxwC47NmXsq8FdHP2byIEQJIYQAD5LppWBsBjrhYAAZrx8vaOAfAJARBIZv8mQgAkiQEEkK9jALwv+0oALW3r9h0dAuDStRuzrwV0c/ZvIgRAkhhAAPkuvOPxYkn91q8EQIBmbHulYwBcIgACyezfRAiAJDGAAPL9tC4AHisAAjRleycBcPGaDdnXAro5+zcRAiBJDCCAfBdMKQPggGvmZl8JoKXt2LGzQwB8/BkBEMhl/yZCACSJAQSQ7/wpjxVL6rd/LQACNGPnzo4B8DEBEEhm/yZCACSJAQSQ77zJZQA8/loBEKBZ9QHw0dUCIJDL/k2EAEgSAwgg37mTHi2W1BOuvT/7SgAtrz4APrL6xewrAd2c/ZsIAZAkBhBAvnPqA+B1AiBAs/7k5DIALnpKAARy2b+JEAAra8WKFXHSSSdF3759o2fPntG7d+849NBDY+TIkbFp06amvveWLVvilltuie985zvxwQ9+MHr37h09evSI3r17x2GHHRaDBw+Op59+eg/9TTpnAAHkGzmxDIDfuX5e9pUAWt6fnjKumK0PPbU++0pAN2f/JkIArKTbb7893vrWt7a/QevPAQccEEuXLm3oey9YsCDe/OY3v+b3/t1585vfHKPkkGTJAAAgAElEQVRHj97Df7P/xwACyDdi4iPFkvpdARCgafvXBcCFTwqAQC77NxECYOXMnz8/evbsGbVaLfbZZ58YMmRItLW1xdSpU+PYY49tf9P27ds3Nm7cuNvf/+67727/Hh/5yEdi2LBhMWXKlJg3b15MmjQpBgwYEG94wxuiVqvFG97whhg/fvxe+FsaQABVMHxCGQC/N0oABGjWewYKgEC12L+JEAAr5+Mf/3jUarXo0aNHtLW1dfj6iBEj2t+4Z5555m5//3vvvTe+/OUvx6JFi17zMbfcckv80R/9UdRqtdh///1j586du/08u2IAAeQbNr4MgP8hAAI07b0DxxezdcGqF7KvBHRz9m8iBMBKmTNnTvubcsCAAZ0+ZseOHXHggQdGrVaL3r17x7Zt2/bKXb70pS+132XevD2/EBpAAPmGjn+4WFJPvOGB7CsBtLw+p5YBcP5KARDIZf8mQgCslIEDB7a/KWfNmvWajxs2bFj74yZPnrxX7nLRRRe1P8eYMWP2+Pc3gADyDR1XFwBHC4AAzTrgtDIAPiAAAsns30QIgJXSv3//qNVq0atXr9i+fftrPq6tra39zTto0KC9cpdzzz23/TluuummPf79DSCAfEPqAuD3R8/PvhJAy+t72oRits5bsS77SkA3Z/8mQgCslP322y9qtVp84AMf6PJx69ata3/zHnHEEXvlLp/73Ofan6OrzwtslAEEkO/s2xYVS+pJvxEAAZp14OllALxfAASS2b+JEAArY8uWLe1vyMMPP3yXj+/Vq1fUarU47LDD9vhd5s+f3/6bgN///vc39D1WrVrV5Xn15x0aQAA5zqoLgD8QAAGa9r66ADh3+fPZVwK6OQGQCAGwMtauXdv+hjzyyCN3+fi3ve1tUavV4qCDDtqj93j55ZejX79+7Xe59dZbG/o+v/vzv88xgABynDm2DIA/HLMg+0oALe+gQROL2XrfMgEQyCUAEiEAVsbKlSvb35BHHXXULh//zne+M2q1Wuy///579B7f+ta32u9x9NFHN/x9BECA6jtj7EPFkvqjGwVAgGYdNLgMgHMEQCCZAEiEAFgZVfgXgEOHDm2/wyGHHBIvvfRSw9/LjwADVN/gW8sAePJNAiBAs/6sLgDOfkIABHIJgEQIgJWR/RmAl156afvzH3DAAbF27do98n1fiwEEkG/QLQvrAuCD2VcCaHl/fsakYrbOWvpc9pWAbs7+TYQAWClZvwX4+uuvj//23/5b1Gq1eNe73vUHGQgGEEC+0+sC4MDfCoAAzfqLM8sA2LZEAARy2b+JEAArpX///lGr1aJXr16xffv213xcW1tb+5t30KBBTT3nrbfeGj169IharRb/5//8n1iyZElT3+/3ZQAB5Dvt5jIAnnqzAAjQrIPPmlzM1nuXPJt9JaCbs38TIQBWyimnnNL+ppw1a9ZrPm7YsGHtj5s0aVLDz3fHHXfE//gf/yNqtVr8z//5P+Ohhx5q+HvtLgMIIN+pNz9YLKmn3bww+0oALe8v6wPgYgEQyGX/JkIArJTZs2e3vykHDBjQ6WN27NgRBx54YNRqtdh3331j27ZtDT3Xvffe2/45gm95y1ti7ty5zVx9txlAAPlO+W0ZAE+/RQAEaNYhZ5cB8B4BEEhm/yZCAKyc3/0YcI8ePaKtra3D10eMGNH+xh08eHCHr0+fPr3960cffXSnz/HAAw/Evvvu2/7jxvfcc88e/lvsmgEEkO/km8oAOEgABGjaIWdPKWbrXY/v3V+uB7Ar9m8iBMDKmTdvXrzpTW+KWq0W++yzTwwdOjRmzpwZ06ZNi+OOO679TdunT5/YsGFDhz+/qwC4ZMmSeNvb3tb+mPPPPz8WLlzY5VmzZs0e/3saQAD5Tr5pQbGkDr71D/dREACvV4f+uAyAMx4TAIFc9m8iBMBKGjt2bLzlLW9pf4PWnz59+sTixYs7/bO7CoBXXXXVa37f1zqd/UvDZhlAAPl+dGMZAM8YKwACNOuDQ8oAeKcACCSzfxMhAFbW8uXL48QTT4w+ffpEz549Y999941+/frF8OHDY9OmTa/55wRAAH5fPxxTBsAzxy7KvhJAy/urIXcUs3X6o3v+p2kAdof9mwgBkCQGEEC+H/xmfrGknnWbAAjQrMOGlgFwmgAIJLN/EyEAksQAAsh3Ul0A/PHtAiBAsz48bGoxW6c+8kz2lYBuzv5NhABIEgMIIN/3R5cBcMi4h7OvBNDy6gPgHQ8LgEAu+zcRAiBJDCCAfCeOfqBYUocKgABN+8hPygA4ZZEACOSyfxMhAJLEAALI95831AXA8QIgQLM+OrwMgJMFQCCZ/ZsIAZAkBhBAvv8YNa9YUoeNfyT7SgAtr//wacVsnfjQ6uwrAd2c/ZsIAZAkBhBAvu/VBcDhEwRAgGZ9bEQZACcsFACBXPZvIgRAkhhAAPm+e30ZAEdMFAABmvXxkdPrAuDT2VcCujn7NxECIEkMIIB836kLgCMnPpp9JYCW94m6ADj+QQEQyGX/JkIAJIkBBJDvhOvuL5bUcyYJgADN+sQ5ZQAcJwACyezfRAiAJDGAAPKdcG0ZAM+d/Fj2lQBa3t+ce2cxW29b8FT2lYBuzv5NhABIEgMIIN/x184tltTzBECApv1tXQAcO18ABHLZv4kQAEliAAHk+/avywB4/hQBEKBZf3deGQBvFQCBZPZvIgRAkhhAAPmOu+a+Ykm9YMrj2VcCaHmfOm9GMVtveeDJ7CsB3Zz9mwgBkCQGEEC+Y39VBsCf3iEAAjTr0+eXAfDmeQIgkMv+TYQASBIDCCDft+oC4M+mCoAAzfrMBXcVs/W38/y3LpDL/k2EAEgSAwgg3zFXlwHwommLs68E0PL+vi4A3nS//9YFctm/iRAASWIAAeQ75uo5AiDAHvbZn5YB8Ma5/lsXyGX/JkIAJIkBBJDvG1eVAfDn0wVAgGYdfmEZAMcIgEAy+zcRAiBJDCCAfP925exiSb3kziXZVwJoef/4s7uL2Tr6vpXZVwK6Ofs3EQIgSQwggHxH1wXASwVAgKZ9rj4AzhEAgVz2byIEQJIYQAD5vn5FGQAvmyEAAjTrcxfdU8zWG+asyL4S0M3Zv4kQAEliAAHkO6ouAP5ixtLsKwG0vM/XBcBRswVAIJf9mwgBkCQGEEC+r/1yVrGkXn6XAAjQrC/8vAyA180SAIFc9m8iBECSGEAA+b56eRkAf3n3E9lXAmh5/3TxvcVsvXbW8uwrAd2c/ZsIAZAkBhBAvq9cPrNYUq8QAAGa9qW6APjrmQIgkMv+TYQASBIDCCDfv/6iDIBX3iMAAjTrny8pA+A1AiCQzP5NhABIEgMIIN+Rl7UVS+pVAiBA0464pJyt17Qty74S0M3Zv4kQAEliAAHk+/Kl5ZJ69b3Lsq8E0PKOMFuBirF/EyEAksQAAshXv6T6VyoAzfOvq4GqsX8TIQCSxAACyNfhx9R8ThVA0/7lMp+vClSL/ZsIAZAkBhBAvvoPqvebKgGaV/8LlvyGdSCb/ZsIAZAkBhBAvn+6uAyA184SAAGa9ZXLywB4+V1Ls68EdHP2byIEQJIYQAD5vvjze4ol9frZK7KvBNDyvvbLWQIgUCn2byIEQJIYQAD5vlAXAEcJgABNqw+Av5ghAAK57N9ECIAkMYAA8n3+ojIA3jBHAARo1lFXzC5m62UzlmRfCejm7N9ECIAkMYAA8n3uZ3cXS+roOSuzrwTQ8r5eFwAvvVMABHLZv4kQAEliAAHk+8f6AHifAAjQrKOvLAPgxdMFQCCX/ZsIAZAkBhBAvn+4sAyAY+aaxwDN+sZVc4rZ+vPpi7OvBHRz9m8iBECSGEAA+Q6/8K5iSb1RAARo2jfrAuBF0wRAIJf9mwgBkCQGEEC+z/60DIA33W8eAzTrmKsFQKBa7N9ECIAkMYAA8n3mgjIA/naeeQzQrGOuvq+YrRfe8Xj2lYBuzv5NhABIEgMIIN+nz59RLKm3PPBk9pUAWt6xvyoD4E8FQCCZ/ZsIAZAkBhBAPgEQYM877poyAF4wRQAEctm/iRAASWIAAeT71HllALx1/lPZVwJoeQOumVvM1vOnPJZ9JaCbs38TIQCSxAACyPe3595ZLKljBUCApn3712UAPG+yAAjksn8TIQCSxAACyPc3dQHwtgUCIECzjr+2DIDnTno0+0pAN2f/JkIAJIkBBJDvk+dML5bUcQ8+nX0lgJZ3wnX3F7P1HAEQSGb/JkIAJIkBBJDvE3UBcLwACNC0f68LgCMnCoBALvs3EQIgSQwggHyfGFkGwAkLBUCAZn3n+nnFbB0x8ZHsKwHdnP2bCAGQJAYQQL6PjZhWFwBXZ18JoOV9ty4A/mSCAAjksn8TIQCSxAACyPfXdQFw0kMCIECz/mNUGQCHjRcAgVz2byIEQJIYQAD5+g8vA+DkRc9kXwmg5f3nDQ8Us3Xo+IezrwR0c/ZvIgRAkhhAAPk+OnxqsaROEQABmnZifQAcJwACuezfRAiAJDGAAPJ9eFgZAO94WAAEaNaJo8sAOEQABJLZv4kQAEliAAHkqw+AUx8RAAGa9f3R84vZevZti7KvBHRz9m8iBECSGEAA+T409I5iSZ326JrsKwG0vB/8pgyAZwmAQDL7NxECIEkMIIB8h9UFwOkCIEDT/mtMGQDPHCsAArns30QIgCQxgADy/dWQMgDe+dja7CsBtLwfjllQzNYzxj6UfSWgm7N/EyEAksQAAsh36I+nFEvqDAEQoGk/urEMgINvFQCBXPZvIgRAkhhAAPn61QXAux9/NvtKAC3v5JseLGbroFsWZl8J6Obs30QIgCQxgADyHXJ2GQDvWSwAAjTrlN+WAfB0ARBIZv8mQgAkiQEEkO+QsycXS+q9AiBA0wbWBcDTbhYAgVz2byIEQJIYQAD5Dj6rLgAuEQABmnXqzWUAPPXmB7OvBHRz9m8iBECSGEAA+f7izEnFktq25LnsKwG0vNNuXljM1lN+KwACuezfRAiAJDGAAPJ9oC4AzloqAAI0a9AtZQA8+SYBEMhl/yZCACSJAQSQ78/PKAPg7Ceez74SQMsbfOtDdQFwQfaVgG7O/k2EAEgSAwgg358NnlgsqXOWCYAAzaoPgD+6UQAEctm/iRAASWIAAeQ7aFAZAO8TAAGadsbYMgD+15j52VcCujn7NxECIEkMIIB8768LgHOXC4AAzTpz7KJitv7gNwIgkMv+TYQASBIDCCDf+06fUCyp969Yl30lgJZ39m1lADxJAASS2b+JEABJYgAB5DuwLgDOEwABmvbj28sA+P3RAiCQy/5NhABIEgMIIF/f08oA+MDKF7KvBNDyhox7uJitJ45+IPtKQDdn/yZCACSJAQSQr8+p44sldb4ACNC0oXUB8D9vEACBXPZvIgRAkhhAAPneWxcAH1y1PvtKAC1v2PhHitn6H6PmZV8J6Obs30QIgCQxgADyvXdgGQAXPikAAjTrJxPKAPg9ARBIZv8mQgAkiQEEkO89A8cJgAB72PC6APjd6wVAIJf9mwgBkCQGEEC+Pz2lDIAPPSUAAjRrxMQyAP77dfdnXwno5uzfRAiAJDGAAPK9++TbiyV10VMvZl8JoOWNnPhoMVtPEACBZPZvIgRAkhhAAPn+pC4APrJaAARo1rmT6gLgtQIgkMv+TYQASBIDCCDfqxfUd/3o9nh09YbsKwG0vHMnP1bM1uOvnZt9JaCbs38TIQCSxAACyLVz584OAfCxZwRAgGadVxcAv/1rARDIZf8mQgAkiQEEkGvHjo4B8HEBEKBp508pA+Bx19yXfSWgm7N/EyEAksQAAsj1SicBcPGajdnXAmh5P73j8WK2HvsrARDIZf8mQgAkiQEEkGv7Kzs6BMAlawVAgGZdWBcAvyUAAsns30QIgCQxgABybeskAC4VAAGa9rOpZQA85moBEMhl/yZCACSJAQSQ6+Xtr3QIgE88+1L2tQBa3kXTFtcFwDnZVwK6Ofs3EQIgSQwggFxbtnUMgMsEQICm1QfAb1wlAAK57N9ECIAkMYAAcnUWAFc8tyn7WgAt7+LpS4rZ+m9Xzs6+EtDN2b+JEABJYgAB5Nq8tWMAXPm8AAjQrEvuLAPg0QIgkMz+TYQASBIDCCDXpq3bBUCAveDSugD49SsEQCCX/ZsIAZAkBhBAro0vdwyAq9YJgADNumxGGQC/9stZ2VcCujn7NxECIEkMIIBcG7Zs6xAAn3phc/a1AFre5XctFQCBSrF/EyEAksQAAsj1YicB8On1AiBAs+oD4FcvFwCBXPZvIgRAkhhAALnWb+4YAFev35J9LYCW98u7nyhm61cun5l9JaCbs38TIQCSxAACyPXCpq0dAuAzLwqAAM26oi4A/usvBEAgl/2bCAGQJAYQQK51L3UMgGsEQICmXXlPGQCPvKwt+0pAN2f/JkIAJIkBBJDr+U4C4NoNL2dfC6DlXX3vsmK2fvlSARDIZf8mQgAkiQEEkOu5jS93CIDPbhQAAZr1q7YyAB4hAALJ7N9ECIAkMYAAcj3bSQB8TgAEaNo19QHwEgEQyGX/JkIAJIkBBJBrzYYtHQLg8y9tzb4WQMu7ZubyYrZ+6eJ7s68EdHP2byIEQJIYQAC51rzYMQC+sEkABGjWtbPKAPhPAiCQzP5NhABIEgMIINcznQTA9Zu2ZV8LoOVdN2tFMVu/+PN7sq8EdHP2byIEQJIYQAC5Vq/vJABuFgABmnX97DIAfkEABJLZv4kQAEliAAHkeuqFzR0C4ItbBECAZo2qC4Cfv0gABHLZv4kQAEliAAHkerKTALhBAARo2g1zygD4uZ/dnX0loJuzfxMhAJLEAALItWrdpg4B8KWXt2dfC6Dljb5vZTFb/1EABJLZv4kQAEliAAHkWvl8xwC4aasACNCs39QFwH+4UAAEctm/iRAASWIAAeTqLABu3vpK9rUAWt6YuauK2Xr4hXdlXwno5uzfRAiAJDGAAHItf+6lDgFwyzYBEKBZN9YFwL+/QAAEctm/iRAASWIAAeRa9qwACLA33HR/GQA/IwACyezfRAiAJDGAAHI90UkA3Lp9R/a1AFrezfOeLGbrp8+fkX0loJuzfxMhAJLEAALItXTtxg4BcNsrAiBAs255QAAEqsX+TYQASBIDCCDXkk4C4HYBEKBp9QHwU+cJgEAu+zcRAiBJDCCAXIvXbOgQAF/ZsTP7WgAt79b5TxWz9W/PvTP7SkA3Z/8mQgAkiQEEkOvxZzoGwJ07BUCAZt22oAyAfyMAAsns30QIgCQxgAByPdZJAASgebcveLqYrZ88Z3r2lYBuzv5NhABIEgMIINejqwVAgL1h3INlAPyEAAgks38TIQCSxAACyPXw0y8WC+qfnCwAAuwJ4+sC4MdHTs++EtDN2b+JEABJYgAB5Fr0VBkA3y0AAuwRExaWAfBjI6ZlXwno5uzfRAiAJDGAAHI99NT6YkHd/5Rx2VcCeF2Y+NDqYr7+tQAIJLN/EyEAksQAAsi18MkyAL5noAAIsCdMqguA/YcLgEAu+zcRAmBlrVixIk466aTo27dv9OzZM3r37h2HHnpojBw5MjZt2rTHnmfChAnxxS9+Md7xjnfEG9/4xnjHO94RX/ziF2PChAl77Dk6YwAB5KoPgO8dOD77SgCvC5MXPVPM148On5p9JaCbs38TIQBW0u233x5vfetb29+g9eeAAw6IpUuXNvUcO3fujOOOO+41n6NWq8Vxxx0XO3fu3EN/q5IBBJBrwaoXygB4qgAIsCdMqQuAHx4mAAK57N9ECICVM3/+/OjZs2fUarXYZ599YsiQIdHW1hZTp06NY489tv1N27dv39i4cWPDzzNw4MD273XwwQfHqFGjYs6cOTFq1Kg4+OCD27926qmn7sG/3f9jAAHkmr+yDIAHnCYAAuwJUx8RAIFqsX8TIQBWzsc//vGo1WrRo0ePaGtr6/D1ESNGtL9xzzzzzIaeY/HixdGjR4+o1WrRr1+/2Lx5c/H1TZs2Rb9+/drvsWTJkoaepysGEECuB+oCYN/T9u5HPwB0F9MeWVPM1w8NvSP7SkA3Z/8mQgCslDlz5rS/KQcMGNDpY3bs2BEHHnhg1Gq16N27d2zbtm23n+eEE05of56ZM2d2+piZM2e2P+Y73/nObj/HrhhAALnmrVhXLKgHni4AAuwJ0x4tA+BhAiCQzP5NhABYKa/+sdxZs2a95uOGDRvW/rjJkyfv1nPs3Lkz3vGOd7T/GHFXDjjggKjVavF//+//3eOfBWgAAeSau7wMgO8TAAH2iOl1AfCDQ6ZkXwno5uzfRAiAldK/f/+o1WrRq1ev2L59+2s+rq2trf3NO2jQoN16jqVLl+7yXxn+zqt/ScgTTzyxW8+zKwYQQK65y58vFtT3D5qYfSWA14U7H1tbzNdDfywAArns30QIgJWy3377Ra1Wiw984ANdPm7dunXtb94jjjhit57j9ttvb/+z559/fpePPe+889ofO27cuN16nl0xgABy3besDIAHDRYAAfaEux4vA2A/ARBIZv8mQgCsjC1btrS/IQ8//PBdPr5Xr15Rq9XisMMO263nueSSS9qfZ8yYMV0+dsyYMe2PvfTSS3freVatWtXlefXnHX5myM3xTxff6ziO4/wBz6fOm1EsqH8mAALsEXc//mwxX/c/ZVz6zHccp3ufzwy5WQBEAKyKtWvXtr8hjzzyyF0+/m1ve1vUarU46KCDdut5Xv1bhCdM6PrznsaPH9/+2HPOOWe3nud3f+73Oe84/uriP5Icx3GcP/z58zMm7dacB6Bz9yx+Nn2mO47jvPq84/irBUAEwKpYuXJl+xvyqKOO2uXj3/nOd0atVov9999/t57nrLPOan+eqVOndvnYqVOntj/27LPP3q3nEQAdx3Fa63x0eNf/NwGA38/CJ9enz3THcZxXHwGQCAGwMl5v/wJwd34EWAB0HMfJP5fcuWS35jwAnXtlx874ws/vSZ/rjuM4vzsCIBECYGW83j4DcFde/SGkF46dFdfNWuE4juMknftXrNujMx6gu9u89ZWY9NDq9PnuOI5z3awVceHYWQIgAmCV/CF+C/Btt93mtwADAABAN2H/JkIArJT+/ftHrVaLXr16xfbt21/zcW1tbe1v3kGDBu3WcyxdurT9zw4YMKDLxx533HHtj33iiSd263l2xQACAACAvc/+TYQAWCmnnHJK+5ty1qxZr/m4YcOGtT9u0qTd+62NO3fujLe//e1Rq9Wib9++XT62b9++//9n9L3jHbFz587dep5dMYAAAABg77N/EyEAVsrs2bN3+a/zduzYEQceeGDUarXYd999Y9u2bbv9PMcff3z788ycObPTx8ycObP9MSeccMJuP8euGEAAAACw99m/iRAAK+d3Pwbco0ePaGtr6/D1V/8W38GDB3f4+vTp09u/fvTRR3f6HI899lj06NEjarVa9OvXLzZv3lx8ffPmzdGvX7/2ezz++ON74q9WMIAAAABg77N/EyEAVs68efPiTW96U9Rqtdhnn31i6NChMXPmzJg2bVrxmXx9+vSJDRs2dPjzv08AjIg4+eST2x938MEHxw033BD33Xdf3HDDDXHwwQe3f+2UU07ZK39PAwgAAAD2Pvs3EQJgJY0dOzbe8pa3tL9B60+fPn1i8eLFnf7Z3zcA7tixI775zW++5nPUarU45phjYseOHXvl72gAAQAAwN5n/yZCAKys5cuXx4knnhh9+vSJnj17xr777hv9+vWL4cOHx6ZNm17zz/2+AfB3xo0bF5///Ofj7W9/e7zxjW+Mt7/97fH5z38+xo8fvwf/Nh0tW7as/Z5z5syJVatWOY7jOI7jOI7jOI6zh8+cOXPa9+9ly5bt1V2f6hIASfHqAeQ4juM4juM4juM4zt4/c+bMyc4BJBEASSEAOo7jOI7jOI7jOM4f9giA3ZcASIotW7bEnDlzYs6cObFs2bI98k+Z/SixU3+8PpyujteH09Xx+nB2dbxGnK6O14fT1fH6cLo6e+P1sWzZsvb9e8uWLdk5gCQCIC1t1SofZspr8/qgK14fdMXrg13xGqErXh90xeuDrnh9sLcIgLQ0w5GueH3QFa8PuuL1wa54jdAVrw+64vVBV7w+2FsEQFqa4UhXvD7oitcHXfH6YFe8RuiK1wdd8fqgK14f7C0CIC3NcKQrXh90xeuDrnh9sCteI3TF64OueH3QFa8P9hYBkJZmONIVrw+64vVBV7w+2BWvEbri9UFXvD7oitcHe4sASEszHOmK1wdd8fqgK14f7IrXCF3x+qArXh90xeuDvUUApKUZjnTF64OueH3QFa8PdsVrhK54fdAVrw+64vXB3iIA0tIMR7ri9UFXvD7oitcHu+I1Qle8PuiK1wdd8fpgbxEAAQAAAOB1TAAEAAAAgNcxARAAAAAAXscEQAAAAAB4HRMAAQAAAOB1TAAEAAAAgNcxARAAAAAAXscEQAAAAAB4HRMAAQAAAOB1TAAEAAAAgNcxARAAAAAAXscEQJqyYsWKOOmkk6Jv377Rs2fP6N27dxx66KExcuTI2LRpU1Pfe8eOHbFo0aK46qqr4vjjj49+/frFG9/4xqjValGr1WL69Om7/B6DBw9uf/zvewYPHtzl93zooYdiwIABsf/++8cf//Efx3777Rf9+/ePSy+9NLZv397U3/n1pru8Pnbu3Bl33313nH766fHJT34y/vf//t/x3//7f483v/nN8f+1d+exUVXvH8dPobRAoewUIgplXwVUVtkUJRGIIIKCShAJIotBIIqgQIBovyCLLEKsBAoii8QoIJsGKjQUylJ22TdREcteaGlxfH5/ND20dGZ6Z9pvvr97zvuV9B/m3HPPwIfLwzN3zm3YsKEMHTpUDh48WKD3ayJb8uFPnz59ch1//vz5oN6viWzNx8WLF2XixIny5JNPSsWKFSU8PFyqVasm7dq1k/eAVs4AABNJSURBVAkTJsiRI0cK9N5NYltGUlNTZfbs2dKpUyepWLGi/nemcePGMnz4cDl69GiB3rNp/r/nI6ctW7ZI3759JTo6WkqUKKH/3vfo0UNWr14t//77r6N5qFGdsyUf1KjBsSUf/lCjmokGIIL2448/SpkyZXwWsfXq1ZOzZ88GPX9cXJzfIvm/VXyvWLHC53yLFi2S8PBwn8e2bt1arl69GvR7NolN+XjsscfyPS4kJEQ++OCDoP8RNo1N+fD3e/Dw8RRXWWzNx9y5cyUiIsLvHCNHjgz6fZvEtowcOnRIqlev7vfY0NBQmTFjRtDv2SRuyIeISEZGhrzyyiv55qJTp05y8+ZNv3NRozpnUz6oUQNnUz58oUY1Fw1ABOXgwYNSsmRJUUpJqVKl5JNPPpHExETZunWrDB48WF8o6tevL6mpqUGdY8mSJXqeYsWKSfPmzaVJkyYBXRyvXLkiR44c8ftz8OBBiYyMFKWUREZGSlpamte5Nm/eLEWKFBGllERFRcncuXMlKSlJNm3aJL169dLr6tChg3g8nqDesylsy0fRokVFKSW1a9eWsWPHyrp162Tfvn2SkJAgU6ZMkXLlyul1jRs3Lqj3axLb8uFNamqqLsorV65McZWDrfmYOnWqPn/NmjXlP//5j8THx8u+fftk7dq18tlnn0nbtm1l1KhRQb1nk9iWkZs3b0rVqlVz1RkrV66UpKQk2bBhg7z33ntSrFgx/frq1auDes+mcEs+RESGDh2qj6lcubLMmDFDtm3bJgkJCbJgwYJcTd+uXbv6nIca1Tnb8kGNGhjb8uENNarZaAAiKJ06dRKlsj5tTkxMzPP69OnT9cVi8uTJQZ0jKSlJ5syZI7t27ZL09HQRyf1peqC3R/uyceNGPeegQYO8jrl//77Url1bF+hnzpzJM2bYsGF6nqVLlxbK2tzKtny0adNGNm/e7POT0zNnzkilSpX070lBPjU0gW358GbkyJGilJLOnTvLgAEDKK5ysDEfW7du1eN69+4t9+7d8zk2IyOjUNbmZrZlZMaMGXpMnz59vI5Zu3atHtOkSZNCWZtbuSUfV65c0U27cuXKyaVLl/KMuXXrltSoUUPPu3///jxjqFEDY1s+qFEDY1s+vKFGNRsNQARsz549+kIwZMgQr2M8Ho80aNBAX5QyMzML5dz/jeK7b9++es7t27d7HfPtt9/qMTExMV7H3L17V3+K1rhx40JZmxvZmA8n5s2bp+eZNWtWoazNjciHyN69e6Vo0aISHh4uJ0+epLjKwcZ8eDweqVOnjiiV9bUif80/2JmRl156SY85fPiwz7maN2+ux92+fbtQ1uc2bspHzqbt6NGjfY6bM2eOHjdv3rw8r1OjOmdjPpygRs1CPqhRbUADEAEbP368vhDs3r3b57iYmBg97qeffiqUcxd28X3r1i0pUaKEKKUkOjra56djr732mj7v5cuXfc43ZMgQPe7UqVMFXp8b2ZgPJ44eParXNnz48AKvza1sz8f9+/elWbNmotSDzf4prh6wMR+bNm3S542LiyvweU1nY0a6deumz3vnzh2f8/Xu3VuPs3WvNzflY82aNXr8/PnzfY7LuReXtz0eqVGdszEfTlCjZrE9H9SodqABiIC1b99elFISERHh94liiYmJ+oIxceLEQjl3YRffixYtcrTGRx99VJTKujvDnxUrVuj5Fi9eXOD1uZGN+XBi//79eq533323wGtzK9vzMW3aNFFKSZ06dfSdXhRXD9iYj7feekuUUlK0aNFcd22lpKTI6dOnA96423Q2ZmTUqFF6nJM7AMuXL1/gtbmVm/Jx6NAhPd7pHTzr1q3L8zo1qnM25sMJatQstueDGtUONAARsIoVK4pSSpo2bep33PXr1/UFw9eeNYEq7OK7Q4cOej5ve6aIZG2EGhISIkop6dGjh9/5kpOT9Xzvv/9+gdfnRrblw6lZs2bpub744osCr82tbM7HuXPn9MbSP//8s/51iqsHbMxHw4YNRSkljz/+uHg8HpkzZ47UqlVLH6uUkoYNG8qcOXMK7atGbmZjRo4dO6Y38n/11Ve9jsl5l4fNG/m7LR9t2rTRTds//vgjz+u3b9+W6OhoUUpJjRo18mwRQI0aGNvy4RQ1ahab80GNag8agAhIenq6vgh069Yt3/ERERGilJLWrVsXyvkLs/i+cOGCLpqefvppn+OOHz+uz5nfbfEpKSl6bN++fQu0PjeyMR9O3L17Vz9NKywsTH7//fcCzedWtuejS5cuopSSfv365fp1iqssNubD4/HoTby7d+8uPXr0yNX4e/inY8eO1u7tJmJnRrLNnz9fZ+WZZ56RVatWyZ49e2Tjxo0yevRoCQsLE6WUPPfcc0E/mdLt3JiP48eP6yd1RkVFycyZMyU+Pl4SEhJk4cKF+j/vFSpUkJ07d3o9nhrVGRvz4QQ1ahbb80GNag8agAjI33//rS8Cvj6Fzin70eGFteFwYRbfU6ZM0XPFxsb6HJdzQ9ixY8f6nTMtLU2P7d69e4HW50Y25sOJESNG6LlGjRpVoLnczOZ8fP3116KUkjJlyuTZo4niKouN+ch5F0F4eLgopaRatWqycuVKuXHjhqSlpckvv/wirVq1Cuj3xlQ2ZiSn3bt3S69evbw2h2vVqiVfffWV36+tmc6t+UhJSZHJkydLqVKl8vy5FitWTMaMGSMXL170eiw1qnM25sMJatQsNueDGtUuNAARkN9++01fBPr375/v+Ox9SWrVqlUo5y/M4rtu3bqilJLixYv73WNpx44d+pwTJkzwO6fH49FjO3fuXKD1uZGN+cjP8uXL9ZoaNGggaWlpBVqXm9maj2vXrkmlSpVEKe9fraG4ymJjPi5dupSrWC9durScPXs2z7i0tDRp2rSpHrdnz54Crc+tbMxIttu3b8uwYcMkMjLSawMwJCREnn32WUlMTCzQutzMrflYunSp3grA20/16tVlxowZXh8SQ43qnI35yA816gO25oMa1T40ABEQt3468rBdu3Y5fh98uuqcjfnwJz4+Xt/VU65cOTl27FjQc5nA1nxkF08tWrQQj8fj83Xbiysb85HzK3lKKfnwww99js25x5u/Db9NZmNGREQuX74sjRo1EqWUlCxZUmJiYuTs2bOSmZkp165dk++//14aN24sSmXdSbpmzZqg1+ZmbszHmDFj9DE9e/aUnTt3yp07dyQ9PV2Sk5Nl4MCB+vU+ffrk+TeEGtU5G/PhDzVqbrbmgxrVPjQAERA37o/gzdChQ/U8GzZs8DuW/VWcszEfvuzdu1dKly4tSmU9TWzXrl1Br8cUNuZj69atolTWE16Tk5O9jqG4ymJjPu7du5erAbh9+3afY9PT0yU0NFSUUtK+ffug1+dmNmZEROTll18WpbLu8tu2bZvXMampqdKgQQP9b85ff/0V9Prcym35WL9+vR7/5ptv+hw3YcIEPW7+/Pm5XqNGdc7GfPhCjZqXjfmgRrUTDUAEzG1PSHpYRkaGlC9fXpTK2jD1n3/+8Ts+NTVVn5MnrOXPtnx4c/ToUalQoYIolXU3Rs6nadnOtnxkb6rcqlUrWblypdefnE8CnTt3rv51G9mWDxHRX71RSnn9+m9OVapUEaWU1KtXL6j1mcC2jFy/fl0//OP555/3Ozbn1/k+//zzoNbndm7KR8+ePfV4fw9eSE9P1/t7NWvWLNdr1KiBsS0f3lCj+mZbPqhR7UQDEAFr3769/sTI32bTiYmJ+oIxceLEQjl3YRTf3333nZ7D6deosvd5yO8/XStWrNBzL168OKj1uZ2N+cjpzJkzUrVqVVFKSWhoqPzwww9BrcNUtuWjY8eOenygPzayLR8iIp06ddLHnDp1yu/Y7GZho0aNglqfCWzLSM6vC+f3Fc+cd4O98847Qa3P7dyUj3r16ulGcH6yHwRUvHjxPK9RozpnYz5yokb1z7Z8UKPaiT89BGzcuHH6L//u3bt9jouJidHjtmzZUijnLoziu0ePHnqOgwcPOjqmX79++piHn46U05AhQ/S4kydPBrU+t7MxH9kuXbok1atXF6WUFClSRL755pug1mAy2/JBcRUY2/IhIjJx4kR9zKZNm3yOu3XrloSEhIhSSrp06RLU+kxgW0b27t2rx48ZM8bv2MOHD+uxI0aMCGp9buemfGTv61ihQoV8xz7xxBOilJJSpUrleY0a1Tkb85GNGjV/tuWDGtVO/OkhYElJSfov/5AhQ7yO8Xg8ei+asmXLSmZmZqGcu6DF99WrV6VYsWKiVP63d+e0evVqfd6YmBivY+7evSvlypUTpZQ0bNgw4LWZwsZ8iIhcuXJFfxqnlJLY2NiAz28DW/PhD/urPGBjPg4dOqTPO3jwYJ/j4uLi9LipU6cGvD5T2JaRlJQU3fht2bKl37Hz5s3T65s5c2bA6zOBm/LRvXt3Pf7XX3/1Oe7atWsSFhYmSilp0qRJntepUZ2zMR8i1KhO2ZoPf6hRzUMDEEHJvkU6NDRUEhMT87w+ffp0fbGYNGlSntfj4+P16wMGDHB83oIW38EWx5mZmVKrVi1RSklkZKScOXMmz5hhw4bpuZcsWRLw2kxiWz5u3LghzZo108fOnj074HPbxLZ85IfiKjcb8/HCCy/o95yQkJDn9T///FOqVasmSikJCwvzu9+PDWzLSJs2bfRxcXFxXsdcuHBB7xEZEhIiJ06cCHh9pnBLPr788ks9vkuXLpKRkZFnjMfjkTfeeEOPGzduXJ4x1KiBsS0f1KiBsS0f+aFGNQ8NQAQlOTlZSpQoIUpl3U786aefyq5du2Tbtm3y9ttv6wtF3bp15fbt23mOd3pxXLJkSa6fnF+dGTt2bK7XvP2n6WEtWrQQpbKedhToE/I2bNigN+KOioqSefPmSVJSkmzevFk/oU8pJe3atQvqwREmsSkf9+7dk7Zt2+rzvv7663LkyBG/P+fOnXM0t6lsyocTFFe52ZiPkydPStmyZUUpJSVLlpSPPvpIEhISZM+ePTJ//nx55JFH9NqmTZsW0Nwmsi0j8fHxUrRoUd3c69+/v6xfv14OHDggO3bskKlTp+pN/ZVSMmjQIMdzm8gt+cjIyJD69evrY5o0aSKxsbGSlJQk+/btk2XLluVq/kZFRUlKSorXtVCjOmdTPqhRA2dTPpygRjUPDUAEbd26dRIZGakvCg//1K1bV06fPu31WKcXR19ze/vJ71OWEydO6LFdu3YN6j3Hxsbq26i9/bRs2TKoi6uJbMnH+fPnA1qHUko6duzoeH5T2ZIPJyiu8rIxHwkJCRIVFeVzDSEhIfLxxx8HNbeJbMvI8uXLJSIiIt919O3b1+udILZxSz4uXLggTZs2zff46OhoOXDggN/3TI3qnC35oEYNji35cIIa1Tw0AFEgFy5ckFGjRkndunWlZMmSUrZsWXnqqadk2rRpcvfuXZ/H/S+K7/Hjx+uxq1atCvIdixw5ckQGDx4sNWvWlOLFi0uFChWkXbt2snDhQr9PjLKRDfmguAqeDflwguLKOxvzcfXqVZk0aZI0bdpUIiMjpXjx4hIdHS0DBw6U5OTkoOc1lW0ZuXTpkkyYMEHatGkj5cuXl9DQUImIiJB69erJgAEDZNu2bUHNayq35CMzM1OWLVsmL774olSrVk3Cw8MlLCxMqlSpIl26dJEFCxbInTt3HL1nalTnbMgHNWrwbMiHE9So5qEBCAAAAAAAABiMBiAAAAAAAABgMBqAAAAAAAAAgMFoAAIAAAAAAAAGowEIAAAAAAAAGIwGIAAAAAAAAGAwGoAAAAAAAACAwWgAAgAAAAAAAAajAQgAAAAAAAAYjAYgAAAAAAAAYDAagAAAAAAAAIDBaAACAAAAAAAABqMBCAAAAAAAABiMBiAAAAAAAABgMBqAAAAAAAAAgMFoAAIAAAAAAAAGowEIAAAAAAAAGIwGIAAAAAAAAGAwGoAAAAAAAACAwWgAAgAAAAAAAAajAQgAAAAAAAAYjAYgAAAAAAAAYDAagAAAAAAAAIDBaAACAAAAAAAABqMBCAAAAAAAABiMBiAAAAAAAABgMBqAAAAAAAAAgMFoAAIAAAAAAAAGowEIAAAAAAAAGIwGIAAAAAAAAGAwGoAAAAAAAACAwWgAAgAAAAAAAAajAQgAAAAAAAAYjAYgAAAAAAAAYDAagAAAAAAAAIDBaAACAAAAAAAABqMBCAAAAAAAABiMBiAAAAAAAABgMBqAAAAAAAAAgMFoAAIAAAAAAAAGowEIAAAAAAAAGIwGIAAAAAAAAGAwGoAAAAAAAACAwWgAAgAAAAAAAAajAQgAAAAAAAAYjAYgAAAAAAAAYDAagAAAAAAAAIDBaAACAAAAAAAABqMBCAAAAAAAABiMBiAAAAAAAABgMBqAAAAAAAAAgMFoAAIAAAAAAAAGowEIAAAAAAAAGIwGIAAAAAAAAGAwGoAAAAAAAACAwWgAAgAAAAAAAAajAQgAAAAAAAAYjAYgAAAAAAAAYDAagAAAAAAAAIDBaAACAAAAAAAABqMBCAAAAAAAABiMBiAAAAAAAABgMBqAAAAAAAAAgMFoAAIAAAAAAAAG+z/LE5YhdIY8BwAAAABJRU5ErkJggg==\" width=\"640\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x1c2c7dbf98>]"
+      ]
+     },
+     "execution_count": 203,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "plt.plot(test[1], test[0])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/.ipynb_checkpoints/Plume_analysis.py-checkpoint.ipynb b/.ipynb_checkpoints/Plume_analysis.py-checkpoint.ipynb
new file mode 100644
index 0000000..b4c8af9
--- /dev/null
+++ b/.ipynb_checkpoints/Plume_analysis.py-checkpoint.ipynb
@@ -0,0 +1,4831 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "-  Analysis for plumes taken on 190118, only 4 different plumes recorded\n",
+    "-  All are 5s long\n",
+    "-  All plumes are from /Volumes/lab-schaefera/working/marinc/Distance_box/Far_80cm/plume_80cm_180328_5.mat\n",
+    "-  Order are:\n",
+    "   1. 1Hz square pulses from two channels, total flow should be 1\n",
+    "   2. plume on ch3\n",
+    "   3. Anti plume on ch4\n",
+    "   4. Combination of both on Ch3 and Ch4"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import scipy.io as sio\n",
+    "import matplotlib.pyplot as plt\n",
+    "from sklearn.preprocessing import normalize\n",
+    "%matplotlib notebook"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "flowmeter = sio.loadmat('/Volumes/lab-schaefera/working/warnert/Recordings/Set up recordings/190118/flowmeter_plumes.mat')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "__header__\n",
+      "__version__\n",
+      "__globals__\n",
+      "flowmeter_plumes_Ch31\n",
+      "flowmeter_plumes_Ch5\n",
+      "flowmeter_plumes_Ch4\n",
+      "flowmeter_plumes_Ch3\n",
+      "flowmeter_plumes_Ch2\n",
+      "flowmeter_plumes_Ch1\n"
+     ]
+    }
+   ],
+   "source": [
+    "for i in flowmeter:\n",
+    "    print(i)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x10f42c2e8>]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(3, 1, sharex=True)\n",
+    "ax[0].plot(flowmeter['flowmeter_plumes_Ch1'][0][0][-1])\n",
+    "ax[1].plot(flowmeter['flowmeter_plumes_Ch4'][0][0][-1])\n",
+    "ax[2].plot(flowmeter['flowmeter_plumes_Ch5'][0][0][-1])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Ch3 = flowmeter['flowmeter_plumes_Ch4'][0][0][-1]\n",
+    "Ch4 = flowmeter['flowmeter_plumes_Ch5'][0][0][-1]\n",
+    "flow = flowmeter['flowmeter_plumes_Ch1'][0][0][-1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "baseline = np.mean(flow[:276463])\n",
+    "flow = [i-baseline for i in flow]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x = lambda a: 1 if a > 1 else 0\n",
+    "Ch3 = [x(i) for i in Ch3]\n",
+    "Ch4 = [x(i) for i in Ch4]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(max(Ch3))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2\n"
+     ]
+    }
+   ],
+   "source": [
+    "mix= [i+j for i, j in zip(Ch3, Ch4)]\n",
+    "print(max(mix))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "276463\n",
+      "326463\n"
+     ]
+    }
+   ],
+   "source": [
+    "found_pulse = False\n",
+    "for index, i in enumerate(mix):\n",
+    "    if i > 0 and not found_pulse:\n",
+    "        print(index)\n",
+    "        found_pulse = True\n",
+    "    if i < 1 and found_pulse:\n",
+    "        print(index)\n",
+    "        break\n",
+    "# Difference in the two, divided by 5 is the fs = 10000"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "raw_plume = sio.loadmat('/Volumes/lab-schaefera/working/marinc/Distance_box/Far_80cm/plume_80cm_180328_5.mat')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "50000\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(len(raw_plume['plume'][0])) # Plume is 5s long"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Ch3_plumes_only = Ch3[326500:]\n",
+    "Ch4_plumes_only = Ch4[326500:]\n",
+    "mix_plumes_only = mix[326500:]\n",
+    "flow_plumes_only = flow[326500:]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x109150c50>]"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(Ch3_plumes_only)\n",
+    "plt.plot(Ch4_plumes_only)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plume_length = 5\n",
+    "fs = 10000\n",
+    "plume_starts = []\n",
+    "last_plume = 0\n",
+    "for index, i in enumerate(mix_plumes_only):\n",
+    "    if i > 0 and index-last_plume > 50000:\n",
+    "        found_plume = True\n",
+    "        plume_starts.append(index)\n",
+    "        last_plume = index\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(len(plume_starts))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[143483, 526552, 777451]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(plume_starts)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0xb2d975128>]"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#plt.plot(mix_plumes_only[plume_starts[2]:plume_starts[2]+50000])\n",
+    "plt.plot(Ch3_plumes_only[plume_starts[2]:plume_starts[2]+50000])\n",
+    "plt.plot(Ch4_plumes_only[plume_starts[2]:plume_starts[2]+50000])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "143483\n",
+      "50000\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0xb395bfeb8>"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plume_start = plume_starts[0]\n",
+    "plume_end = plume_start + 50000\n",
+    "print(plume_start)\n",
+    "\n",
+    "x = np.arange(0, 5, 1/10000)\n",
+    "print(len(x))\n",
+    "plt.plot(x, flow_plumes_only[plume_start:plume_end]/max(flow_plumes_only[plume_start:plume_end]), label='Recon plume')\n",
+    "plt.plot(x, raw_plume['plume'][0]/max(raw_plume['plume'][0]), label='Plume')\n",
+    "plt.ylabel('Flow (normalised)')\n",
+    "plt.title('Plume vs reconstructed plume')\n",
+    "plt.xlabel('Time (s)')\n",
+    "plt.legend()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "526552\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0xb3bda1128>"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plume_start = plume_starts[1]\n",
+    "plume_end = plume_start + 50000\n",
+    "print(plume_start)\n",
+    "\n",
+    "plt.plot(x, flow_plumes_only[plume_start:plume_end]/max(flow_plumes_only[plume_start:plume_end]), label='anitRecon plume')\n",
+    "plt.plot(x, 1-(raw_plume['plume'][0]/max(raw_plume['plume'][0])), label='antiPlume')\n",
+    "plt.ylabel('Flow (normalised)')\n",
+    "plt.title('Anti Plume vs reconstructed anit plume')\n",
+    "plt.xlabel('Time (s)')\n",
+    "plt.legend()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "777451\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0xb3c8131d0>"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plume_start = plume_starts[2]\n",
+    "plume_end = plume_start + 50000\n",
+    "print(plume_start)\n",
+    "\n",
+    "plt.plot(x, flow_plumes_only[plume_start:plume_end]/max(flow_plumes_only[plume_start:plume_end]), label='anitRecon plume')\n",
+    "plt.ylabel('Flow (normalised)')\n",
+    "plt.title('Combined anti and plume')\n",
+    "plt.xlabel('Time (s)')\n",
+    "plt.legend()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Now repeating the same analysis but with repeats of plumes, and across all channels\n",
+    "-  10 different plumes\n",
+    "-  Order:\n",
+    "    1. Ch1 Plume\n",
+    "    2. Ch2 Plume\n",
+    "    3. Ch3 Plume\n",
+    "    4. Ch4 Plume\n",
+    "    5. Ch1 plume - Ch2 anti plume\n",
+    "    6. Ch3 Plume - Ch4 anti plume\n",
+    "    7. Ch4 anti plume\n",
+    "    8. Ch3 Anti plume\n",
+    "    9. Ch2 Anti plume\n",
+    "    10. Ch1 Anti plume\n",
+    "-  3 Repeats"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "flowmeter = sio.loadmat('/Volumes/lab-schaefera/working/warnert/Recordings/Set up recordings/190118/flowmeter_plumes_longer_all_chans.mat')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "__header__\n",
+      "__version__\n",
+      "__globals__\n",
+      "flowmeter_plumes_longer_all_chans_Keyboard\n",
+      "flowmeter_plumes_longer_all_chans_Ch4\n",
+      "flowmeter_plumes_longer_all_chans_Ch3\n",
+      "flowmeter_plumes_longer_all_chans_Ch2\n",
+      "flowmeter_plumes_longer_all_chans_Ch1\n",
+      "flowmeter_plumes_longer_all_chans_Flowmete\n"
+     ]
+    }
+   ],
+   "source": [
+    "for i in flowmeter:\n",
+    "    print(i)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "flow = flowmeter['flowmeter_plumes_longer_all_chans_Flowmete'][0][0][-1]\n",
+    "ch1 = flowmeter['flowmeter_plumes_longer_all_chans_Ch1'][0][0][-1]\n",
+    "ch2 = flowmeter['flowmeter_plumes_longer_all_chans_Ch2'][0][0][-1]\n",
+    "ch3 = flowmeter['flowmeter_plumes_longer_all_chans_Ch3'][0][0][-1]\n",
+    "ch4 = flowmeter['flowmeter_plumes_longer_all_chans_Ch4'][0][0][-1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "push = lambda a: 1 if a > 1 else 0\n",
+    "ch1 = [push(i) for i in ch1]\n",
+    "ch2 = [push(i) for i in ch2]\n",
+    "ch3 = [push(i) for i in ch3]\n",
+    "ch4 = [push(i) for i in ch4]\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mix = [i+j+k+l for i, j, k, l in zip(ch1, ch2, ch3, ch4)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x10fa560b8>]"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(5, 1)\n",
+    "ax[0].plot(ch1)\n",
+    "ax[1].plot(ch2)\n",
+    "ax[2].plot(ch3)\n",
+    "ax[3].plot(ch4)\n",
+    "ax[4].plot(mix)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plume_starts = []\n",
+    "prev_plume = 0\n",
+    "for index, i in enumerate(mix):\n",
+    "    if i > 0 and index-prev_plume > 50000:\n",
+    "        plume_starts.append(index)\n",
+    "        prev_plume = index"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "30\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(len(plume_starts))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "baseline= np.mean(flow[:plume_starts[0]])\n",
+    "flow_baselined = [i-baseline for i in flow]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0xbe2772320>]"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(flow_baselined)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\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('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",
+       "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 = $('<div/>');\n",
+       "    this._root_extra_style(this.root)\n",
+       "    this.root.attr('style', 'display: inline-block');\n",
+       "\n",
+       "    $(parent_element).append(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen =  function () {\n",
+       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+       "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
+       "            fig.send_message(\"refresh\", {});\n",
+       "        }\n",
+       "\n",
+       "    this.imageObj.onload = function() {\n",
+       "            if (fig.image_mode == 'full') {\n",
+       "                // Full images could contain transparency (where diff images\n",
+       "                // almost always do), so we need to clear the canvas so that\n",
+       "                // there is no ghosting.\n",
+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "            }\n",
+       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "        };\n",
+       "\n",
+       "    this.imageObj.onunload = function() {\n",
+       "        fig.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\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",
+       "\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",
+       "\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]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\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",
+       "    {\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.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",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\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",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\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",
+       "    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",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\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",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\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,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"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\";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 = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\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.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('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",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\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",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        event.shiftKey = false;\n",
+       "        // Send a \"J\" for go to next cell\n",
+       "        event.which = 74;\n",
+       "        event.keyCode = 74;\n",
+       "        manager.command_mode();\n",
+       "        manager.handle_keydown(event);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\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('matplotlib', mpl.mpl_figure_comm);\n",
+       "}\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<img 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\" width=\"639.9999861283738\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.0\n",
+      "0.0\n",
+      "0.0\n",
+      "0.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(5, 1, sharex=True)\n",
+    "avg_chans = []\n",
+    "for i in range(4):\n",
+    "    chn_starts = plume_starts[i::10]\n",
+    "    avg_chan = np.zeros(50000,)\n",
+    "    print(avg_chan[0])\n",
+    "    for j in chn_starts:\n",
+    "        ax[i].plot(flow_baselined[j:j+50000], color='gray')\n",
+    "        avg_chan = [i[0]+j for i, j in zip(flow_baselined[j:j+50000], avg_chan)]\n",
+    "    avg_chan= [i/len(chn_starts) for i in avg_chan]\n",
+    "    ax[i].plot(avg_chan)\n",
+    "    ax[4].plot(avg_chan)\n",
+    "    avg_chans.append(avg_chan)\n",
+    "ax[0].set_title('Channel plumes')\n",
+    "ax[4].set_title('Avg plumes')\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\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('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",
+       "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 = $('<div/>');\n",
+       "    this._root_extra_style(this.root)\n",
+       "    this.root.attr('style', 'display: inline-block');\n",
+       "\n",
+       "    $(parent_element).append(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen =  function () {\n",
+       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+       "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
+       "            fig.send_message(\"refresh\", {});\n",
+       "        }\n",
+       "\n",
+       "    this.imageObj.onload = function() {\n",
+       "            if (fig.image_mode == 'full') {\n",
+       "                // Full images could contain transparency (where diff images\n",
+       "                // almost always do), so we need to clear the canvas so that\n",
+       "                // there is no ghosting.\n",
+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "            }\n",
+       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "        };\n",
+       "\n",
+       "    this.imageObj.onunload = function() {\n",
+       "        fig.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\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",
+       "\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",
+       "\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]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\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",
+       "    {\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.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",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\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",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\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",
+       "    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",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\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",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\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,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"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\";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 = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\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.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('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",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\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",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        event.shiftKey = false;\n",
+       "        // Send a \"J\" for go to next cell\n",
+       "        event.which = 74;\n",
+       "        event.keyCode = 74;\n",
+       "        manager.command_mode();\n",
+       "        manager.handle_keydown(event);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\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('matplotlib', mpl.mpl_figure_comm);\n",
+       "}\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
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\" width=\"639.9999861283738\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(raw_plume['plume'][0]/max(raw_plume['plume'][0]))\n",
+    "for i in avg_chans:\n",
+    "    plt.plot(i/max(i))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\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('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",
+       "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 = $('<div/>');\n",
+       "    this._root_extra_style(this.root)\n",
+       "    this.root.attr('style', 'display: inline-block');\n",
+       "\n",
+       "    $(parent_element).append(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen =  function () {\n",
+       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+       "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
+       "            fig.send_message(\"refresh\", {});\n",
+       "        }\n",
+       "\n",
+       "    this.imageObj.onload = function() {\n",
+       "            if (fig.image_mode == 'full') {\n",
+       "                // Full images could contain transparency (where diff images\n",
+       "                // almost always do), so we need to clear the canvas so that\n",
+       "                // there is no ghosting.\n",
+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "            }\n",
+       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "        };\n",
+       "\n",
+       "    this.imageObj.onunload = function() {\n",
+       "        fig.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\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",
+       "\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",
+       "\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]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\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",
+       "    {\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.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",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\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",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\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",
+       "    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",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\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",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\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,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"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\";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 = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\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.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('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",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\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",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        event.shiftKey = false;\n",
+       "        // Send a \"J\" for go to next cell\n",
+       "        event.which = 74;\n",
+       "        event.keyCode = 74;\n",
+       "        manager.command_mode();\n",
+       "        manager.handle_keydown(event);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\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('matplotlib', mpl.mpl_figure_comm);\n",
+       "}\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
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\" width=\"639.9999861283738\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.0\n",
+      "0.0\n",
+      "0.0\n",
+      "0.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(5, 1, sharex=True)\n",
+    "avg_anti_chans = []\n",
+    "for i in range(4):\n",
+    "    chn_starts = plume_starts[i+6::10]\n",
+    "    avg_chan = np.zeros(50000,)\n",
+    "    print(avg_chan[0])\n",
+    "    for j in chn_starts:\n",
+    "        ax[i].plot(flow_baselined[j:j+50000], color='gray')\n",
+    "        avg_chan = [i[0]+j for i, j in zip(flow_baselined[j:j+50000], avg_chan)]\n",
+    "    avg_chan= [i/len(chn_starts) for i in avg_chan]\n",
+    "    ax[i].plot(avg_chan)\n",
+    "    ax[4].plot(avg_chan)\n",
+    "    avg_anti_chans.append(avg_chan)\n",
+    "ax[0].set_title('Channel anti plumes')\n",
+    "ax[4].set_title('Avg anti plumes')\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 87,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\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('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",
+       "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 = $('<div/>');\n",
+       "    this._root_extra_style(this.root)\n",
+       "    this.root.attr('style', 'display: inline-block');\n",
+       "\n",
+       "    $(parent_element).append(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen =  function () {\n",
+       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+       "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
+       "            fig.send_message(\"refresh\", {});\n",
+       "        }\n",
+       "\n",
+       "    this.imageObj.onload = function() {\n",
+       "            if (fig.image_mode == 'full') {\n",
+       "                // Full images could contain transparency (where diff images\n",
+       "                // almost always do), so we need to clear the canvas so that\n",
+       "                // there is no ghosting.\n",
+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "            }\n",
+       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "        };\n",
+       "\n",
+       "    this.imageObj.onunload = function() {\n",
+       "        fig.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\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",
+       "\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",
+       "\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]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\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",
+       "    {\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.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",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\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",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\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",
+       "    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",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\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",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\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,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"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\";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 = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\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.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('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",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\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",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        event.shiftKey = false;\n",
+       "        // Send a \"J\" for go to next cell\n",
+       "        event.which = 74;\n",
+       "        event.keyCode = 74;\n",
+       "        manager.command_mode();\n",
+       "        manager.handle_keydown(event);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\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('matplotlib', mpl.mpl_figure_comm);\n",
+       "}\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<img 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\" width=\"639.9999861283738\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(1-(raw_plume['plume'][0]/max(raw_plume['plume'][0])))\n",
+    "for i in avg_anti_chans:\n",
+    "    plt.plot(i/max(i))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 93,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\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('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",
+       "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 = $('<div/>');\n",
+       "    this._root_extra_style(this.root)\n",
+       "    this.root.attr('style', 'display: inline-block');\n",
+       "\n",
+       "    $(parent_element).append(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen =  function () {\n",
+       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+       "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
+       "            fig.send_message(\"refresh\", {});\n",
+       "        }\n",
+       "\n",
+       "    this.imageObj.onload = function() {\n",
+       "            if (fig.image_mode == 'full') {\n",
+       "                // Full images could contain transparency (where diff images\n",
+       "                // almost always do), so we need to clear the canvas so that\n",
+       "                // there is no ghosting.\n",
+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "            }\n",
+       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "        };\n",
+       "\n",
+       "    this.imageObj.onunload = function() {\n",
+       "        fig.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\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",
+       "\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",
+       "\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]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\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",
+       "    {\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.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",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\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",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\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",
+       "    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",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\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",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\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,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"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\";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 = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\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.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('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",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\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",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        event.shiftKey = false;\n",
+       "        // Send a \"J\" for go to next cell\n",
+       "        event.which = 74;\n",
+       "        event.keyCode = 74;\n",
+       "        manager.command_mode();\n",
+       "        manager.handle_keydown(event);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\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('matplotlib', mpl.mpl_figure_comm);\n",
+       "}\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
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\" width=\"639.9999861283738\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for i, j in zip(avg_chans, avg_anti_chans):\n",
+    "    med_i = np.median(i)\n",
+    "    plt.plot(i/med_i, color='r')\n",
+    "    med_j = np.median(j)\n",
+    "    plt.plot([1-k/med_j for k in j], color='b')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[-0.00557857 -0.00369847 -0.00447263 ...  0.29747743  0.29769862\n",
+      "  0.2979751 ]\n",
+      "50000\n",
+      "[-0.00206818 -0.00280337 -0.00348605 ...  0.20105517  0.2007926\n",
+      "  0.20066131]\n",
+      "50000\n",
+      "[-0.00440357 -0.00531314 -0.00597464 ...  0.18897464  0.19470763\n",
+      "  0.19377051]\n",
+      "50000\n",
+      "[-0.0024581  -0.00346786 -0.00424003 ...  0.2280057   0.22750081\n",
+      "  0.22681774]\n",
+      "50000\n"
+     ]
+    }
+   ],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "4\n"
+     ]
+    }
+   ],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/Binary sequence creating.ipynb b/Binary sequence creating.ipynb
new file mode 100644
index 0000000..a5d9bab
--- /dev/null
+++ b/Binary sequence creating.ipynb	
@@ -0,0 +1,7083 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import math\n",
+    "import matplotlib.pyplot as plt\n",
+    "import pickle\n",
+    "import os\n",
+    "from scipy import signal"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib notebook"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 130,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#trialbank_loc = '/Volumes/lab-schaefera/working/warnert/Recordings/190222/2Hz_20Hz_corr_anti_corr_reorder.trialbank'\n",
+    "trialbank_loc = '/Volumes/lab-schaefera/working/warnert/Recordings/190121/full_trialbank.trialbank'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 131,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "trialbank = pickle.Unpickler(open(trialbank_loc, 'rb')).load()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 133,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[4, [{'type': 'Plume', 'onset': 0.1, 'offset': 0.1, 'shatter_frequency': 500.0, 'data_fs': 10000.0, 'data_path': 'Z:/working/marinc/Distance_box/Near_40cm/plume_40cm_180328_9.mat', 'target_max': 1.0}, {'type': 'Anti Plume', 'onset': 0.1, 'offset': 0.1, 'shatter_frequency': 500.0, 'data_fs': 10000.0, 'data_path': 'Z:/working/marinc/Distance_box/Near_40cm/plume_40cm_180328_9.mat', 'target_max': 1.0}, {'type': 'Plume', 'onset': 0.1, 'offset': 0.1, 'shatter_frequency': 500.0, 'data_fs': 10000.0, 'data_path': 'Z:/working/marinc/Distance_box/Far_80cm/plume_80cm_180328_9.mat', 'target_max': 1.0}, {'type': 'Anti Plume', 'onset': 0.1, 'offset': 0.1, 'shatter_frequency': 500.0, 'data_fs': 10000.0, 'data_path': 'Z:/working/marinc/Distance_box/Far_80cm/plume_80cm_180328_9.mat', 'target_max': 1.0}], 'Trial Name']\n"
+     ]
+    }
+   ],
+   "source": [
+    "params = trialbank[0]\n",
+    "print(params)\n",
+    "sampling_rate = 20000"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "def shatter_pulse(sampling_rate, duration, frequency, duty, shatter_frequency, shatter_duty):\n",
+    "\n",
+    "    if shatter_frequency < frequency:\n",
+    "        raise ValueError('Shatter frequency must not be lower than major frequency.')\n",
+    "\n",
+    "    t = np.linspace(0, duration, sampling_rate * duration, endpoint=False)\n",
+    "\n",
+    "    guide_pulse, _ = square_pulse(sampling_rate, duration, frequency, duty)\n",
+    "    shattered_pulse = (np.array(signal.square(2 * np.pi * shatter_frequency * t, duty=shatter_duty)) / 2) + 0.5\n",
+    "\n",
+    "    return guide_pulse * shattered_pulse, t\n",
+    "def square_pulse(sampling_rate, duration, frequency, duty):\n",
+    "    t = np.linspace(0, duration, sampling_rate * duration, endpoint=False)\n",
+    "    return (np.array(signal.square(2 * np.pi * frequency * t, duty=duty)) / 2) + 0.5, t\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "KeyError",
+     "evalue": "'fromDuty'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-12-3d77ed855d92>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mif\u001b[0m \u001b[0mparams\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'fromDuty'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m     \u001b[0mfrequency\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mparams\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'frequency'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m     \u001b[0mduty\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mparams\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'duty'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0;32massert\u001b[0m \u001b[0mparams\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'fromValues'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mKeyError\u001b[0m: 'fromDuty'"
+     ]
+    }
+   ],
+   "source": [
+    "if params['fromDuty']:\n",
+    "    frequency = params['frequency']\n",
+    "    duty = params['duty']\n",
+    "else:\n",
+    "    assert params['fromValues']\n",
+    "    frequency = 1.0 / (params['pulse_width'] + params['pulse_delay'])\n",
+    "    duty = params['pulse_width'] / (params['pulse_width'] + params['pulse_delay'])\n",
+    "\n",
+    "if params['fromLength']:\n",
+    "    duration = params['length']\n",
+    "else:\n",
+    "    assert params['fromRepeats']\n",
+    "    if params['fromValues']:\n",
+    "        duration = (params['pulse_width'] + params['pulse_delay']) * params['repeats']\n",
+    "    else:\n",
+    "        assert params['fromDuty']\n",
+    "        duration = (1.0 / frequency) * params['repeats']\n",
+    "\n",
+    "if params['isClean']:\n",
+    "    pulse, t = square_pulse(sampling_rate, duration, frequency, duty)\n",
+    "else:\n",
+    "    assert params['isShatter']\n",
+    "    pulse, t = shatter_pulse(sampling_rate, duration, frequency, duty, params['shatter_frequency'],\n",
+    "                             params['shatter_duty'])\n",
+    "print(pulse.shape)\n",
+    "# Attach onset and offset\n",
+    "onset = np.zeros(int(sampling_rate * params['onset']))\n",
+    "offset = np.zeros(int(sampling_rate * params['offset']))\n",
+    "\n",
+    "pulse = np.hstack((onset, pulse, offset))\n",
+    "\n",
+    "total_length = round(duration + params['onset'] + params['offset'], 10) # N.B. Have to round here due to floating point representation problem\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(2000,) (44000,) (2000,)\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(onset.shape, pulse.shape, offset.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2.2\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(total_length)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/warnert/miniconda3/envs/local/lib/python3.7/site-packages/ipykernel_launcher.py:1: DeprecationWarning: object of type <class 'float'> cannot be safely interpreted as an integer.\n",
+      "  \"\"\"Entry point for launching an IPython kernel.\n"
+     ]
+    }
+   ],
+   "source": [
+    "output =pulse, np.linspace(0, total_length, total_length*sampling_rate)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\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('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",
+       "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 = $('<div/>');\n",
+       "    this._root_extra_style(this.root)\n",
+       "    this.root.attr('style', 'display: inline-block');\n",
+       "\n",
+       "    $(parent_element).append(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen =  function () {\n",
+       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+       "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
+       "            fig.send_message(\"refresh\", {});\n",
+       "        }\n",
+       "\n",
+       "    this.imageObj.onload = function() {\n",
+       "            if (fig.image_mode == 'full') {\n",
+       "                // Full images could contain transparency (where diff images\n",
+       "                // almost always do), so we need to clear the canvas so that\n",
+       "                // there is no ghosting.\n",
+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "            }\n",
+       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "        };\n",
+       "\n",
+       "    this.imageObj.onunload = function() {\n",
+       "        fig.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\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",
+       "\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",
+       "\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]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\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",
+       "    {\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.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",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\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",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\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",
+       "    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",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\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",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\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,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"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\";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 = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\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.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('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",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\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",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        event.shiftKey = false;\n",
+       "        // Send a \"J\" for go to next cell\n",
+       "        event.which = 74;\n",
+       "        event.keyCode = 74;\n",
+       "        manager.command_mode();\n",
+       "        manager.handle_keydown(event);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\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('matplotlib', mpl.mpl_figure_comm);\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"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x1c1dcb2c88>]"
+      ]
+     },
+     "execution_count": 50,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "plt.plot(output[1], output[0])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "8\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "print(len(bin(255)[2:]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "00000000\n",
+      "00000001\n",
+      "00000010\n",
+      "00000011\n",
+      "00000100\n",
+      "00000101\n",
+      "00000110\n",
+      "00000111\n",
+      "00001000\n",
+      "00001001\n",
+      "00001010\n",
+      "00001011\n",
+      "00001100\n",
+      "00001101\n",
+      "00001110\n",
+      "00001111\n",
+      "00010000\n",
+      "00010001\n",
+      "00010010\n",
+      "00010011\n",
+      "00010100\n",
+      "00010101\n",
+      "00010110\n",
+      "00010111\n",
+      "00011000\n",
+      "00011001\n",
+      "00011010\n",
+      "00011011\n",
+      "00011100\n",
+      "00011101\n",
+      "00011110\n",
+      "00011111\n",
+      "00100000\n",
+      "00100001\n",
+      "00100010\n",
+      "00100011\n",
+      "00100100\n",
+      "00100101\n",
+      "00100110\n",
+      "00100111\n",
+      "00101000\n",
+      "00101001\n",
+      "00101010\n",
+      "00101011\n",
+      "00101100\n",
+      "00101101\n",
+      "00101110\n",
+      "00101111\n",
+      "00110000\n",
+      "00110001\n",
+      "00110010\n",
+      "00110011\n",
+      "00110100\n",
+      "00110101\n",
+      "00110110\n",
+      "00110111\n",
+      "00111000\n",
+      "00111001\n",
+      "00111010\n",
+      "00111011\n",
+      "00111100\n",
+      "00111101\n",
+      "00111110\n",
+      "00111111\n",
+      "01000000\n",
+      "01000001\n",
+      "01000010\n",
+      "01000011\n",
+      "01000100\n",
+      "01000101\n",
+      "01000110\n",
+      "01000111\n",
+      "01001000\n",
+      "01001001\n",
+      "01001010\n",
+      "01001011\n",
+      "01001100\n",
+      "01001101\n",
+      "01001110\n",
+      "01001111\n",
+      "01010000\n",
+      "01010001\n",
+      "01010010\n",
+      "01010011\n",
+      "01010100\n",
+      "01010101\n",
+      "01010110\n",
+      "01010111\n",
+      "01011000\n",
+      "01011001\n",
+      "01011010\n",
+      "01011011\n",
+      "01011100\n",
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+      "01100111\n",
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+      "01101011\n",
+      "01101100\n",
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+      "01101110\n",
+      "01101111\n",
+      "01110000\n",
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+      "01110010\n",
+      "01110011\n",
+      "01110100\n",
+      "01110101\n",
+      "01110110\n",
+      "01110111\n",
+      "01111000\n",
+      "01111001\n",
+      "01111010\n",
+      "01111011\n",
+      "01111100\n",
+      "01111101\n",
+      "01111110\n",
+      "01111111\n",
+      "10000000\n",
+      "10000001\n",
+      "10000010\n",
+      "10000011\n",
+      "10000100\n",
+      "10000101\n",
+      "10000110\n",
+      "10000111\n",
+      "10001000\n",
+      "10001001\n",
+      "10001010\n",
+      "10001011\n",
+      "10001100\n",
+      "10001101\n",
+      "10001110\n",
+      "10001111\n",
+      "10010000\n",
+      "10010001\n",
+      "10010010\n",
+      "10010011\n",
+      "10010100\n",
+      "10010101\n",
+      "10010110\n",
+      "10010111\n",
+      "10011000\n",
+      "10011001\n",
+      "10011010\n",
+      "10011011\n",
+      "10011100\n",
+      "10011101\n",
+      "10011110\n",
+      "10011111\n",
+      "10100000\n",
+      "10100001\n",
+      "10100010\n",
+      "10100011\n",
+      "10100100\n",
+      "10100101\n",
+      "10100110\n",
+      "10100111\n",
+      "10101000\n",
+      "10101001\n",
+      "10101010\n",
+      "10101011\n",
+      "10101100\n",
+      "10101101\n",
+      "10101110\n",
+      "10101111\n",
+      "10110000\n",
+      "10110001\n",
+      "10110010\n",
+      "10110011\n",
+      "10110100\n",
+      "10110101\n",
+      "10110110\n",
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+      "10111000\n",
+      "10111001\n",
+      "10111010\n",
+      "10111011\n",
+      "10111100\n",
+      "10111101\n",
+      "10111110\n",
+      "10111111\n",
+      "11000000\n",
+      "11000001\n",
+      "11000010\n",
+      "11000011\n",
+      "11000100\n",
+      "11000101\n",
+      "11000110\n",
+      "11000111\n",
+      "11001000\n",
+      "11001001\n",
+      "11001010\n",
+      "11001011\n",
+      "11001100\n",
+      "11001101\n",
+      "11001110\n",
+      "11001111\n",
+      "11010000\n",
+      "11010001\n",
+      "11010010\n",
+      "11010011\n",
+      "11010100\n",
+      "11010101\n",
+      "11010110\n",
+      "11010111\n",
+      "11011000\n",
+      "11011001\n",
+      "11011010\n",
+      "11011011\n",
+      "11011100\n",
+      "11011101\n",
+      "11011110\n",
+      "11011111\n",
+      "11100000\n",
+      "11100001\n",
+      "11100010\n",
+      "11100011\n",
+      "11100100\n",
+      "11100101\n",
+      "11100110\n",
+      "11100111\n",
+      "11101000\n",
+      "11101001\n",
+      "11101010\n",
+      "11101011\n",
+      "11101100\n",
+      "11101101\n",
+      "11101110\n",
+      "11101111\n",
+      "11110000\n",
+      "11110001\n",
+      "11110010\n",
+      "11110011\n",
+      "11110100\n",
+      "11110101\n",
+      "11110110\n",
+      "11110111\n",
+      "11111000\n",
+      "11111001\n",
+      "11111010\n",
+      "11111011\n",
+      "11111100\n",
+      "11111101\n",
+      "11111110\n",
+      "11111111\n"
+     ]
+    }
+   ],
+   "source": [
+    "bin_numbers = []\n",
+    "for i in range(256):\n",
+    "    bin_num = bin(i)[2:]\n",
+    "    while len(bin_num) < 8:\n",
+    "        bin_num = '0'+ bin_num\n",
+    "    print(bin_num)\n",
+    "    bin_numbers.append(bin_num)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 161,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "500.0\n",
+      "1\n",
+      "1\n",
+      "0\n",
+      "0\n",
+      "1\n",
+      "0\n",
+      "0\n",
+      "0\n"
+     ]
+    }
+   ],
+   "source": [
+    "bin_width = 0.05\n",
+    "sf = 10000\n",
+    "shatter_frequency = 500\n",
+    "plume = []\n",
+    "print(bin_width*sf)\n",
+    "for i in bin_numbers[200]:\n",
+    "    print(int(i))\n",
+    "    plume.extend([int(i) for j in range(int(sf*bin_width))])\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 162,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x1c30c0bfd0>]"
+      ]
+     },
+     "execution_count": 162,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "plt.plot(pulse)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 99,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.4\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/warnert/miniconda3/envs/local/lib/python3.7/site-packages/ipykernel_launcher.py:6: DeprecationWarning: object of type <class 'float'> cannot be safely interpreted as an integer.\n",
+      "  \n"
+     ]
+    },
+    {
+     "ename": "ValueError",
+     "evalue": "operands could not be broadcast together with shapes (4000,) (8000,) ",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-99-6ac669f5e748>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0mt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlinspace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mduration\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msampling_rate\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mduration\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0mpulse\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msignal\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msquare\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpi\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mshatter_frequency\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mduty\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplume\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m0.5\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      8\u001b[0m \u001b[0;31m#pulse = (np.array(signal.square(2 * np.pi * 500 * t, duty=resampled)) / 2) + 0.5\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m~/miniconda3/envs/local/lib/python3.7/site-packages/scipy/signal/waveforms.py\u001b[0m in \u001b[0;36msquare\u001b[0;34m(t, duty)\u001b[0m\n\u001b[1;32m    138\u001b[0m     \"\"\"\n\u001b[1;32m    139\u001b[0m     \u001b[0mt\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mw\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0masarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0masarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mduty\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 140\u001b[0;31m     \u001b[0mw\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0masarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mw\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mt\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    141\u001b[0m     \u001b[0mt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0masarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mw\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    142\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mchar\u001b[0m \u001b[0;32min\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m'fFdD'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mValueError\u001b[0m: operands could not be broadcast together with shapes (4000,) (8000,) "
+     ]
+    }
+   ],
+   "source": [
+    "duration = len(pulse) / sf\n",
+    "print(duration)\n",
+    "sampling_rate = 20000\n",
+    "resampled = signal.resample(plume, len(plume)*int(sampling_rate / sf))\n",
+    "\n",
+    "t = np.linspace(0, duration, sampling_rate*duration)\n",
+    "pulse = (np.array(signal.square(2*np.pi*shatter_frequency * t, duty = plume))/2) + 0.5\n",
+    "#pulse = (np.array(signal.square(2 * np.pi * 500 * t, duty=resampled)) / 2) + 0.5\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 106,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "def plume_pulse(sampling_rate, params, plume):\n",
+    "    #plume = plume\n",
+    "#    plume = plume['plume'][0]\n",
+    "\n",
+    "    # resample to match sampling rate\n",
+    "    resampled = signal.resample(plume, int(len(plume)*(sampling_rate / params['data_fs'])))\n",
+    "    # zero out negative values\n",
+    "    resampled[resampled < 0] = 0\n",
+    "    # normalise\n",
+    "    resampled = (resampled - min(resampled)) / (max(resampled) - min(resampled))\n",
+    "    resampled = resampled * params['target_max']\n",
+    "\n",
+    "    duration = len(resampled) / sampling_rate\n",
+    "    t = np.linspace(0, duration, sampling_rate * duration)\n",
+    "    pulse = (np.array(signal.square(2 * np.pi * params['shatter_frequency'] * t, duty=resampled)) / 2) + 0.5\n",
+    "    print(len(pulse))\n",
+    "\n",
+    "    # Attach onset and offset\n",
+    "    onset = np.zeros(int(sampling_rate * params['onset']))\n",
+    "    offset = np.zeros(int(sampling_rate * params['offset']))\n",
+    "\n",
+    "    total_length = round(params['onset'] + params['offset'] + len(pulse) / sampling_rate, 10)\n",
+    "    return np.hstack((onset, pulse, offset)), np.linspace(0, total_length, total_length * sampling_rate)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 165,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "4000\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/warnert/miniconda3/envs/local/lib/python3.7/site-packages/ipykernel_launcher.py:15: DeprecationWarning: object of type <class 'float'> cannot be safely interpreted as an integer.\n",
+      "  from ipykernel import kernelapp as app\n",
+      "/Users/warnert/miniconda3/envs/local/lib/python3.7/site-packages/ipykernel_launcher.py:24: DeprecationWarning: object of type <class 'float'> cannot be safely interpreted as an integer.\n"
+     ]
+    }
+   ],
+   "source": [
+    "params['shatter_frequency'] = 500\n",
+    "params['onset'] = 0\n",
+    "params['offset'] = 0\n",
+    "test = plume_pulse(10000, params, plume)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 167,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\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('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",
+       "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 = $('<div/>');\n",
+       "    this._root_extra_style(this.root)\n",
+       "    this.root.attr('style', 'display: inline-block');\n",
+       "\n",
+       "    $(parent_element).append(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen =  function () {\n",
+       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+       "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
+       "            fig.send_message(\"refresh\", {});\n",
+       "        }\n",
+       "\n",
+       "    this.imageObj.onload = function() {\n",
+       "            if (fig.image_mode == 'full') {\n",
+       "                // Full images could contain transparency (where diff images\n",
+       "                // almost always do), so we need to clear the canvas so that\n",
+       "                // there is no ghosting.\n",
+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "            }\n",
+       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "        };\n",
+       "\n",
+       "    this.imageObj.onunload = function() {\n",
+       "        fig.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\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",
+       "\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",
+       "\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]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\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",
+       "    {\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.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",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\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",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\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",
+       "    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",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\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",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\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,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"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\";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 = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\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.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('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",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\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",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        event.shiftKey = false;\n",
+       "        // Send a \"J\" for go to next cell\n",
+       "        event.which = 74;\n",
+       "        event.keyCode = 74;\n",
+       "        manager.command_mode();\n",
+       "        manager.handle_keydown(event);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\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('matplotlib', mpl.mpl_figure_comm);\n",
+       "}\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
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\" width=\"640\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(test[0])\n",
+    "plt.plot(plume)\n",
+    "np.save(os.path.join('/Users/warnert/Documents/GitHub/PulseBoy', 'test.npy'), plume)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 169,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "retest = np.load(os.path.join('/Users/warnert/Documents/GitHub/PulseBoy', 'test.npy'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 106,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "params = {'onset': 0.0, 'offset':0.0, 'num_of_bins':8, 'bin_size':0.05,'value_to_binarise':256}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 109,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def binary_pulse(sampling_rate, params):\n",
+    "    '''\n",
+    "    Creates a pulse from a value passed to it. Value should be less than the maximum \n",
+    "    '''\n",
+    "    binary = params['value_to_binarise']\n",
+    "    \n",
+    "    assert binary >= 0, 'Binary minimum should be zero'\n",
+    "    assert binary <= 2**params['num_of_bins'] - 1, 'Binary maximum should be less than %s' % str(2**params['num_of_bins'])\n",
+    "    bin_width = params['bin_size']*sampling_rate\n",
+    "    binned = bin(binary)[2:]\n",
+    "    while len(binned) < params['num_of_bins']:\n",
+    "        binned = '0' + binned\n",
+    "    bin_output = []\n",
+    "    print(binned, bin_width)\n",
+    "    onset = np.zeros(int(sampling_rate * params['onset']))\n",
+    "    offset = np.zeros(int(sampling_rate * params['offset']))\n",
+    "\n",
+    "    \n",
+    "    \n",
+    "    bin_pulse = [int(i) for i in binned for j in range(int(bin_width))]\n",
+    "    total_length = round(params['onset'] + params['offset'] + len(bin_pulse)/sampling_rate, 10)\n",
+    "    return np.hstack((onset, bin_pulse, offset)), np.linspace(0, total_length, total_length * sampling_rate)\n",
+    "\n",
+    "    \n",
+    "#resampled = signal.resample(binary, int(len(binary) * (sampling_rate / params['data_fs'])))\n",
+    "    \n",
+    "#     onset = np.zeros(int(sampling_rate * params['onset']))\n",
+    "#     offset = np.zeros(int(sampling_rate * params['offset']))\n",
+    "\n",
+    "#     total_length = round(params['onset'] + params['offset'] + len(resampled)/sampling_rate, 10)\n",
+    "#     return np.hstack((onset, resampled, offset)), np.linspace(0, total_length, total_length * sampling_rate)\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 110,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "AssertionError",
+     "evalue": "Binary maximum should be less than 256",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mAssertionError\u001b[0m                            Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-110-e16819744bcb>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mbin_pulse\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbinary_pulse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m20000\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mparams\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbin_pulse\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbin_pulse\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;32m<ipython-input-109-d6836468270e>\u001b[0m in \u001b[0;36mbinary_pulse\u001b[0;34m(sampling_rate, params)\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m     \u001b[0;32massert\u001b[0m \u001b[0mbinary\u001b[0m \u001b[0;34m>=\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Binary minimum should be zero'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m     \u001b[0;32massert\u001b[0m \u001b[0mbinary\u001b[0m \u001b[0;34m<=\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mparams\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'num_of_bins'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Binary maximum should be less than %s'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mparams\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'num_of_bins'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      9\u001b[0m     \u001b[0mbin_width\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mparams\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'bin_size'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0msampling_rate\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     10\u001b[0m     \u001b[0mbinned\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbinary\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mAssertionError\u001b[0m: Binary maximum should be less than 256"
+     ]
+    }
+   ],
+   "source": [
+    "bin_pulse = binary_pulse(20000, params)\n",
+    "plt.plot(bin_pulse[1], bin_pulse[0])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 177,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\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('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",
+       "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 = $('<div/>');\n",
+       "    this._root_extra_style(this.root)\n",
+       "    this.root.attr('style', 'display: inline-block');\n",
+       "\n",
+       "    $(parent_element).append(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen =  function () {\n",
+       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+       "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
+       "            fig.send_message(\"refresh\", {});\n",
+       "        }\n",
+       "\n",
+       "    this.imageObj.onload = function() {\n",
+       "            if (fig.image_mode == 'full') {\n",
+       "                // Full images could contain transparency (where diff images\n",
+       "                // almost always do), so we need to clear the canvas so that\n",
+       "                // there is no ghosting.\n",
+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "            }\n",
+       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "        };\n",
+       "\n",
+       "    this.imageObj.onunload = function() {\n",
+       "        fig.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\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",
+       "\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",
+       "\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]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\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",
+       "    {\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.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",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\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",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\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",
+       "    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",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\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",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\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,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"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\";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 = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\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.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('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",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\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",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        event.shiftKey = false;\n",
+       "        // Send a \"J\" for go to next cell\n",
+       "        event.which = 74;\n",
+       "        event.keyCode = 74;\n",
+       "        manager.command_mode();\n",
+       "        manager.handle_keydown(event);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\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('matplotlib', mpl.mpl_figure_comm);\n",
+       "}\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
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width=\"640\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x1c32c022e8>]"
+      ]
+     },
+     "execution_count": 177,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "plt.plot(t, bin_pulse)\n",
+    "#plt.plot(np.load(params['data_path']))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
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+      "1\n",
+      "1\n",
+      "1\n"
+     ]
+    }
+   ],
+   "source": [
+    "bin_window = 50\n",
+    "fs = 20000\n",
+    "num_of_bins = 8\n",
+    "for i in range(2**num_of_bins):\n",
+    "    binned = bin(i)[2:]\n",
+    "    while len(binned) < num_of_bins:\n",
+    "        binned = '0' + binned\n",
+    "    for j in binned:\n",
+    "        print(j)\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 204,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "trial = [1, [{}], 'Trial Name']\n",
+    "trialbank_out = []\n",
+    "ind_params = {'type':'Simple', 'fromValues':True, 'fromDuty':False, 'isClean':True, 'isShatter':False, 'fromRepeats':True,\n",
+    "             'fromLength':False, 'onset':0.1, 'offset':0.0, 'pulse_width':0.08, 'pulse_delay':0.0, 'frequency':10.0,\n",
+    "             'duty':0.5, 'shatter_frequency':500.0, 'shatter_duty':0.5, 'repeats':1, 'length':1.0}\n",
+    "for i in range(256):\n",
+    "    if len(bin(i)) == 10:\n",
+    "        params = {}\n",
+    "        params['type']='Binary'\n",
+    "        params['onset'] = 0.1\n",
+    "        params['offset'] = 0.0\n",
+    "        params['num_of_bins'] = 8\n",
+    "        params['bin_size'] = 0.005\n",
+    "        params['value_to_binarise'] = i\n",
+    "        params['shatter_frequency'] = 500\n",
+    "\n",
+    "        trialbank_out.append([2, [params, ind_params], 'Trial Name'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 205,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "simp_trialbank = pickle.Unpickler(open('/Volumes/lab-schaefera/working/warnert/Recordings/190222/2Hz_20Hz_corr_anti_corr_reorder.trialbank', 'rb')).load()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 162,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'type': 'Simple', 'fromValues': False, 'fromDuty': True, 'isClean': False, 'isShatter': True, 'fromRepeats': False, 'fromLength': True, 'onset': 0.1, 'offset': 0.1, 'pulse_width': 0.1, 'pulse_delay': 0.1, 'frequency': 10.0, 'duty': 0.5, 'shatter_frequency': 500.0, 'shatter_duty': 0.5, 'repeats': 5, 'length': 2.0}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(simp_trialbank[0][1][0])\n",
+    "#print(trialbank_out[0][1])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 206,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pickle.dump(trialbank_out, open('/Users/warnert/Documents/GitHub/PulseBoy/TestData/testbinarytrialbank_shatter_small_onset_0.005_bin_size.trialbank', 'wb'), protocol=pickle.HIGHEST_PROTOCOL)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 138,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "test_trialbank = pickle.Unpickler(open('/Users/warnert/Documents/GitHub/PulseBoy/TestData/2_binary_pulses.trialbank', 'rb')).load()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 181,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "32768.0"
+      ]
+     },
+     "execution_count": 181,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "(2**16)/2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 145,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "full_binned = []\n",
+    "for i in range(256):\n",
+    "    binned = bin(i)[2:]\n",
+    "    if not len(binned) < 8:\n",
+    "        full_binned.append(binned)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 146,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['10000000', '10000001', '10000010', '10000011', '10000100', '10000101', '10000110', '10000111', '10001000', '10001001', '10001010', '10001011', '10001100', '10001101', '10001110', '10001111', '10010000', '10010001', '10010010', '10010011', '10010100', '10010101', '10010110', '10010111', '10011000', '10011001', '10011010', '10011011', '10011100', '10011101', '10011110', '10011111', '10100000', '10100001', '10100010', '10100011', '10100100', '10100101', '10100110', '10100111', '10101000', '10101001', '10101010', '10101011', '10101100', '10101101', '10101110', '10101111', '10110000', '10110001', '10110010', '10110011', '10110100', '10110101', '10110110', '10110111', '10111000', '10111001', '10111010', '10111011', '10111100', '10111101', '10111110', '10111111', '11000000', '11000001', '11000010', '11000011', '11000100', '11000101', '11000110', '11000111', '11001000', '11001001', '11001010', '11001011', '11001100', '11001101', '11001110', '11001111', '11010000', '11010001', '11010010', '11010011', '11010100', '11010101', '11010110', '11010111', '11011000', '11011001', '11011010', '11011011', '11011100', '11011101', '11011110', '11011111', '11100000', '11100001', '11100010', '11100011', '11100100', '11100101', '11100110', '11100111', '11101000', '11101001', '11101010', '11101011', '11101100', '11101101', '11101110', '11101111', '11110000', '11110001', '11110010', '11110011', '11110100', '11110101', '11110110', '11110111', '11111000', '11111001', '11111010', '11111011', '11111100', '11111101', '11111110', '11111111']\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(full_binned)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "full_pulse = []\n",
+    "for i in range(2**num_of_bins):\n",
+    "    bin_width = params['bin_size']*sampling_rate\n",
+    "    binary = bin(i)[2:]\n",
+    "    #print(binary)\n",
+    "    \n",
+    "    while len(binary) < num_of_bins:\n",
+    "        binary = '0'+binary\n",
+    "    bin_pulse = [int(i) for i in binary for j in range(int(bin_width))]\n",
+    "    #print(bin_pulse)\n",
+    "    \n",
+    "    full_pulse.extend(bin_pulse)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 197,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "100.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(bin_width)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 199,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\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('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",
+       "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 = $('<div/>');\n",
+       "    this._root_extra_style(this.root)\n",
+       "    this.root.attr('style', 'display: inline-block');\n",
+       "\n",
+       "    $(parent_element).append(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen =  function () {\n",
+       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+       "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
+       "            fig.send_message(\"refresh\", {});\n",
+       "        }\n",
+       "\n",
+       "    this.imageObj.onload = function() {\n",
+       "            if (fig.image_mode == 'full') {\n",
+       "                // Full images could contain transparency (where diff images\n",
+       "                // almost always do), so we need to clear the canvas so that\n",
+       "                // there is no ghosting.\n",
+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "            }\n",
+       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "        };\n",
+       "\n",
+       "    this.imageObj.onunload = function() {\n",
+       "        fig.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\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",
+       "\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",
+       "\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]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\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",
+       "    {\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.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",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\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",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\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",
+       "    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",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\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",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\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,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"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\";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 = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\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.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('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",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\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",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        event.shiftKey = false;\n",
+       "        // Send a \"J\" for go to next cell\n",
+       "        event.which = 74;\n",
+       "        event.keyCode = 74;\n",
+       "        manager.command_mode();\n",
+       "        manager.handle_keydown(event);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\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('matplotlib', mpl.mpl_figure_comm);\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": [
+    "plt.plot(np.arange(0, len(full_pulse)/20000, 1/20000), full_pulse)\n",
+    "for i in range(255):\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 200,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def full_binary_sequence(sampling_rate, params):\n",
+    "    \n",
+    "    \n",
+    "    bin_width = params['bin_size']*sampling_rate\n",
+    "    \n",
+    "    full_pulse = []\n",
+    "    for i in range(2**num_of_bins):\n",
+    "        bin_width = params['bin_size']*sampling_rate\n",
+    "        binary = bin(i)[2:]\n",
+    "        #print(binary)\n",
+    "\n",
+    "        while len(binary) < num_of_bins:\n",
+    "            binary = '0'+binary\n",
+    "        bin_pulse = [int(i) for i in binary for j in range(int(bin_width))]\n",
+    "        #print(bin_pulse)\n",
+    "\n",
+    "        full_pulse.extend(bin_pulse)\n",
+    "\n",
+    "    \n",
+    "    onset = np.zeros(int(sampling_rate * params['onset']))\n",
+    "    offset = np.zeros(int(sampling_rate * params['offset']))\n",
+    "\n",
+    "    \n",
+    "    \n",
+    "    \n",
+    "    total_length = round(params['onset'] + params['offset'] + len(full_pulse)/sampling_rate, 10)\n",
+    "    return np.hstack((onset, full_pulse, offset)), np.linspace(0, total_length, total_length * sampling_rate)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 201,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/warnert/miniconda3/envs/local/lib/python3.7/site-packages/ipykernel_launcher.py:27: DeprecationWarning: object of type <class 'float'> cannot be safely interpreted as an integer.\n"
+     ]
+    }
+   ],
+   "source": [
+    "test = full_binary_sequence(20000, params)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 203,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\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('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",
+       "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 = $('<div/>');\n",
+       "    this._root_extra_style(this.root)\n",
+       "    this.root.attr('style', 'display: inline-block');\n",
+       "\n",
+       "    $(parent_element).append(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen =  function () {\n",
+       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+       "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
+       "            fig.send_message(\"refresh\", {});\n",
+       "        }\n",
+       "\n",
+       "    this.imageObj.onload = function() {\n",
+       "            if (fig.image_mode == 'full') {\n",
+       "                // Full images could contain transparency (where diff images\n",
+       "                // almost always do), so we need to clear the canvas so that\n",
+       "                // there is no ghosting.\n",
+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "            }\n",
+       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "        };\n",
+       "\n",
+       "    this.imageObj.onunload = function() {\n",
+       "        fig.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\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",
+       "\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",
+       "\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]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\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",
+       "    {\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.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",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\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",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\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",
+       "    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",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\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",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\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,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"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\";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 = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\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.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('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",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\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",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        event.shiftKey = false;\n",
+       "        // Send a \"J\" for go to next cell\n",
+       "        event.which = 74;\n",
+       "        event.keyCode = 74;\n",
+       "        manager.command_mode();\n",
+       "        manager.handle_keydown(event);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\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('matplotlib', mpl.mpl_figure_comm);\n",
+       "}\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
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JgYQQDkWr1hdFwDnCIAAXXb5vQIgUC77NxECIJkYQADlWLS8PgDOXbQi97EAmsafxj6bzNCvXy4AAuWwfxMhAJKJAQRQjkXL6gPgvMUCIEBXXVETAL92+QO5jwRQZf8mQgAkEwMIoBwLl62qC4AvCIAAXXblfWkA/K8/CoBAOezfRAiAZGIAAZTj5Vc6CYBLBECArrqqJgB+9Q9tuY8EUGX/JkIAJBMDCKAcLy1dWRcA5y9ZmftYAE3jz/dPT2bof1wmAALlsH8TIQCSiQEEUI4XOwmALy0VAAG66uq2NAB+RQAECmL/JkIAJBMDCKAc85fUB8CXX1mV+1gATePqB2akAfBSARAoh/2bCAGQTAwggHK8sGRFXQBcIAACdNk1NQHwy5fcn/tIAFX2byIEQDIxgADKMW9xfQBcuEwABOiqa8elAfBLAiBQEPs3EQIgmRhAAOWYu6g+AC5avjr3sQCaxl8fnJnM0C9efF/uIwFU2b+JEADJxAACKMfzi5bXBcDFKwRAgK66viYA/rsACBTE/k2EAEgmBhBAOeYsrA+ASwRAgC67oT0NgF+4SAAEymH/JkIAJBMDCKAcsxcsqwuAS1euyX0sgKYxsH1WMkM/f+HY3EcCqLJ/EyEAkokBBFCOWS/XB8BXBECALhs4Pg2AxwqAQEHs30QIgGRiAAGUo7MAuHzV2tzHAmgaNz40O5mhn7tAAATKYf8mQgAkEwMIoBwzX6oPgCtWC4AAXXVTTQA85oJ7cx8JoMr+TYQASCYGEEA5Zrz0igAIsBlufjgNgJ/9nQAIlMP+TYQASCYGEEA5nn2xPgCuXCMAAnTVLRPSAHiUAAgUxP5NhABIJgYQQDmmzV9aFwBXr12X+1gATWPQI88lM/Qzvx2T+0gAVfZvIgRAMjGAAMrxTCcBcI0ACNBlAiBQMvs3EQIgmRhAAOV4+oX6ALh23frcxwJoGrdNnJPM0CPPFwCBcti/iRAAycQAAijH1HlL6gLgOgEQoMsG1wTAfztvdO4jAVTZv4kQAMnEAAIox1OdBMD16wVAgK66/dE0AH5KAAQKYv8mQgAkEwMIoBxPzq0PgAB03R2PPZ/M0E+eOyr3kQCq7N9ECIBkYgABlGPK3MXJ4vruUwVAgEYMrQmARwiAQEHs30QIgGRiAAGU44nn0wD4HgEQoCHDJqUB8PABo3IfCaDK/k2EAEgmBhBAOSbPWZQsru897Y7cRwJoKsMmzU3m6L/2H5n7SABV9m8iBEAyMYAAyjHpuTQAvq+nAAjQiDsnpwHwMAEQKIj9mwgBkEwMIIBy1AbAPXsOzX0kgKZy1+Pzkjl6aD8BECiH/ZsIAZBMDCCAcjw2uyYAni4AAjTi7poA+Il+I3IfCaDK/k2EAEgmBhBAOSbOWpgsrnsJgAANueeJNAAe0lcABMph/yZCACQTAwigHI/UBMC9zxAAARoxYooACJTL/k2EAEgmBhBAOSbMXJAsrvueOSz3kQCaysgnX0jm6MF97sl9JIAq+zcRAiCZGEAA5Xi4JgC+XwAEaMiomgB4kAAIFMT+TYQASCYGEEA5HpqRBsAP9Bqe+0gATWX0U/OTOfrR3nfnPhJAlf2bCAGQTAwggHKMn/5ysrjuJwACNGRMTQA88NcCIFAO+zcRAiCZGEAA5WivDYBnCYAAjbh3ahoADxAAgYLYv4kQAMnEAAIox4PPpgHwg7+8M/eRAJrKfU+/mMzR/X8lAALlsH8TIQCSiQEEUI5x015KFtcPnS0AAjTi/roAeFfuIwFU2b+JEADJxAACKMcDNQHw/wiAAA25/5k0AH74HAEQKIf9mwgBkEwMIIByWFwBNk/bM/4hBSiX/ZsIAZBMDCCAcvjVNYDN460UgJLZv4kQAMnEAAIohzevB9g8/pgSUDL7NxECIJkYQADlGDs1DYAH/FoABGhE+/Q0AP7LWcNzHwmgyv5NhABIJgYQQDnGPDU/WVwPFAABGjK+JgDu10sABMph/yZCACQTAwigHKNrAuBHewuAAI14aEYaAD8gAAIFsX8TIQCSiQEEUI5RT76QLK4H9bkn95EAmsrDMxckc/T9Zw7LfSSAKvs3EQIgmRhAAOUYWRMADxYAARoyoSYA7isAAgWxfxMhAJKJAQRQjpFT0gB4SN8RuY8E0FQembUwmaN7nzE095EAquzfRAiAZGIAAZTjnifmCYAAm2FiTQDc63QBECiH/ZsIAZBMDCCActz9eBoAP9FPAARoxGOzFyVzdE8BECiI/ZsIAZBMDCCActxVEwAP7Tcy95EAmsqk52oCYE8BECiH/ZsIAZBMDCCActw5eW6yuB7WXwAEaERtAHxfzztyHwmgyv5NhABIJgYQQDmGTUoD4L8KgAANmTwnDYDvPU0ABMph/yZCACQTAwigHMMmPZ8srocPGJX7SABN5fE5i5M5+p5Th+Q+EkCV/ZsIAZBMDCCAcgx9LA2AR5w7KveRAJrKlLlpAHy3AAgUxP5NhABIJgYQQDnuqAmAnxQAARry5NwlyRzdvYcACJTD/k2EAEgmBhBAOYY8mgbAT503OveRAJrKU/PqA+D69etzHwsgIuzfdBAAycIAAijH4IlzkqX13wRAgIZM7SQArlsnAAJlsH8TIQCSiQEEUI7bagLgkeePyX0kgKby9AtL6wLgWgEQKIT9mwgBkEwMIIByDHrkuWRp/cxvBUCARjwzvz4Arlm7LvexACLC/k0HAZAsDCCAcgiAAJtnWicBcLUACBTC/k2EAEgmBhBAOW6ZMDtZWo/63b25jwTQVJ598ZW6ALhyzdrcxwKICPs3HQRAsjCAAMpx88NpAPysAAjQkOmdBMAVqwVAoAz2byIEQDIxgADKcdNDaQA85gIBEKARM19aJgACxbJ/EyEAkokBBFCOG2sC4OcuGJv7SABNZdbL9QFw+SoBECiD/ZsIAZBMDCCAcvxt/KxkaT32QgEQoBGdBcBXVq7JfSyAiLB/00EAJAsDCKAcA9vTAPh5ARCgIbMX1AfApQIgUAj7NxECIJkYQADluKF9ZrK0fuGi+3IfCaCpzFm4vC4ALlmxOvexACLC/k0HAZAsDCCAclz/YBoA//1iARCgEc8vqg+AiwVAoBD2byIEQDIxgADK8deaAPhFARCgIXMXragLgIuWC4BAGezfRAiAZGIAAZTj2nEzkqX1S5fcn/tIAE1l3uL6ALhw2arcxwKICPs3HQRAsjCAAMpxzQNpAPyyAAjQkBc6CYALXhEAgTLYv4kQAMnEAAIox9U1AfArl7blPhJAU5m/ZGVdAHxZAAQKYf8mQgAkEwMIoBxXt01PA+BlAiBAI15cWh8AX1q6MvexACLC/k0HAZAsDCCAcvylJgD+hwAI0JCXOgmA85cIgEAZ7N9ECIBkYgABlOOq+55Nltav/kEABGjEy6+sqguALyxZkftYABFh/6aDAEgWBhBAOa6sCYD/9ccHch8JoKksXNZJAFwsAAJlsH8TIQCSiQEEUI4rxqYB8GuXC4AAjVi0bHVdAJwnAAKFsH8TIQCSiQEEUI4/1QTAr18+LveRAJrKouX1AXDuIgEQKIP9mwgBkEwMIIByXH7vtGRp/cafBECARixeUR8A5yxcnvtYABFh/6aDAEgWBhBAOf44RgAE2BxLOgmAzwmAQCHs30QIgGRiAAGU4w9jnkmW1v++4sHcRwJoKq+sXFMXAGcvWJb7WAARYf+mgwBIFgYQQDkuG50GwOOuFAABGrFsVX0AnPWyAAiUwf5NhABIJgYQQDkurQmA3xIAARqyfNXaugA48yUBECiD/ZsIAZBMDCCAclw86ulkaf32Ve25jwTQVFasrg+AM156JfexACLC/k0HAZAsDCCAclw0Mg2A3xEAARrSWQCc/qIACJTB/k2EAFismTNnximnnBL77LNP7LDDDtG9e/c48MADY8CAAbFs2Zb5dYIZM2ZEjx494iMf+Ujssssu0a1bt+jevXscfPDBcc4558T8+fO3yHM6YwABlKM2AH73z+NzHwmgqaxas64uAD4rAAKFsH8TIQAWaciQIbHLLrtUX6C119577x3Tpk3brGdcd911scMOO2zwGZVKJd761rfGiBEjttB3lTKAAMpx4YipydJ6/F8EQIBGrF5bHwCnzV+a+1gAEWH/poMAWJiJEydWw9xOO+0UvXv3jra2thgxYkR873vfq75o99lnn1i6dNP+o6KtrS222267qFQqse2228a3v/3tGDRoULS3t8dNN90Uxx57bPU5O+64Y0yfPn3LfpNhAAGU5IJ70gD4PQEQoCFrOgmAT78gAAJlsH8TIQAW5/DDD49KpRLdunWLtra2uo/379+/+sI9++yzN+kZn/vc56pf4+KLL+70np/97GfVe3784x9v0nM2xgACKMfv7k4D4PevFgABGrF23fpOAuCS3McCiAj7Nx0EwIK0t7dXX5QnnHBCp/esW7cu9t1336hUKtG9e/dYvXp1w8/p3r179Vd8N2TRokXVs+y///4NP+P1GEAA5fjt3U8lS+sPrnko95EAmsr69fUBcOo8ARAog/2bCAGwKD179qy+KMeNG7fB+/r27Vu976677mr4OTvuuGNUKpU44IADNnrf2972tqhUKrHffvs1/IzXYwABlOP8u9IAeOK1AiBAo2oD4FMCIFAI+zcRAmBRDj300Or77q1Zs2aD97W1tVVfvL169Wr4OR/+8Idf9ycAFy9eXH3Gl770pYaf8XoMIIBynFcTAH947cO5jwTQdGoD4JS5i3MfCSAi7N90EAAL8upP3H3oQx/a6H0LFiyovni/8pWvNPycyy67rPr5l156aaf3/PznP6/ec+eddzb8jNdjAAGU49w7n0wD4HUCIECj3n1qGgCfeF4ABMpg/yZCACzGihUrqi/IY4455nXvf/XXeA866KCGn7V27dr4+te/Xv0rwMcff3wMHjw4xo8fHzfffHN88YtfrJ6lR48em/LtxOzZszd6vfb9Dg0ggLwGDE8D4I8EQICGvacmAD4+RwAEyiAAEiEAFmP+/PnVF+RXv/rV173/7W9/+2a/P9/AgQOrvw5cex1xxBGb9ZN/nX3NDV0GEEBe/YdPSZbWH/91Qu4jATSdPU67I5mlk+csyn0kgIgQAOkgABZi1qxZ1RfkN7/5zde9f7fddotKpRJ77LHHJj1vypQp8YUvfCG6devWaZR705veFF//+tfj+eef36SvLwACNI9+w9IAeNL1AiBAo97XMw2Ak54TAIEyCIBECIDF+Hv+BOC9994bu+66a1Qqldh9993jmmuuiXnz5sXq1atj9uzZcfHFF0f37t2jUqnEP//zP8cTTzzR8DP8CjBA8/hNTQD8iQAI0LA9ew5NZuljswVAoAwCIBECYDH+Xu8BuHLlynjnO98ZlUol3vGOd8TcuXM7vW/y5Mnxpje9KSqVShxwwAENPaMrDCCAcvQZ+kSytP70hkdyHwmg6ex5ehoAH529MPeRACLC/k0HAbAgf4+/Ajxo0KDq5/bu3Xuj9x5//PHVeydOnNjQc16PAQRQjj53pAHw5IECIECj9j4jDYATZwmAQBns30QIgEU59NBDo1KpxI477hhr1qzZ4H1tbW3VF2+vXr0aekbfvn2rnzts2LCN3nvppZdW773hhhsaes7rMYAAytG7JgD+bOCW/UcfgP8X7HPGsGSWPiIAAoWwfxMhABbltNNOq74ox40bt8H7XhvxGv1LvQMGDKh+7u23377Rey+44ILqvTfddFNDz3k9BhBAOX495PFkaT3lbwIgQKP2PTMNgA/PXJD7SAARYf+mgwBYkAcffLD6ojzhhBM6vWfdunWx7777RqVSiV133TVWr17d0DNuuumm6jN+8YtfbPTeL3/5y9V7H3744Yae83oMIIBynHN7GgB/LgACNOz9NQHwoRkCIFAG+zcRAmBxXv014G7dukVbW1vdx/v371994Z511ll1Hx81alT148cdd1zdxxcuXBg77LBDVCqVeMtb3hKPPfZYp+cYOleLDgwAACAASURBVHRobLvttlGpVOKd73xnrFu3bnO/tYQBBFCOswenAfB/bxQAARr1gV7DawLgy7mPBBAR9m86CICFmTBhQrz5zW+OSqUSO+20U/Tp0yceeOCBGDlyZHz/+9+vvmj32muvWLJkSd3nv14AjIg455xzqvfstNNOcdppp8XIkSPjkUceieHDh8eJJ54Y3bp1q95zzTXXbPHv0wACKMcvB09OltYeNz2a+0gATWe/s9IAOH66AAiUwf5NhABYpMGDB8fOO+9cfYHWXnvttVc8/fTTnX5uVwLg+vXr46c//Wlss802G3xGpVKJN7zhDTFgwICt8j0aQADlOOu2NACeerMACNCof6kJgO0CIFAI+zcRAmCxZsyYESeffHLstddescMOO8Suu+4aBxxwQPTr1y+WLVu2wc/rSgB81UMPPRQ/+MEPYr/99ou3vOUtsd1228Uuu+wS+++/f/zsZz+Lp556agt/V/8/AwigHPUBsPO3hwBgwz74yzuTWTpu2ku5jwQQEfZvOgiAZGEAAZTjzEGTkqX1tFsEQIBGfejsNAA+IAAChbB/EyEAkokBBFCOM25NA+DptwqAAI368Dl3JbO07RkBECiD/ZsIAZBMDCCAcpx+62PJ0nrGrZNyHwmg6XykJgDe/8yLuY8EEBH2bzoIgGRhAAGUo+ctaQA8c5AACNCo/X+VBsD7nhYAgTLYv4kQAMnEAAIox6k3pwGwlwAI0LD9f3V3MkvHThUAgTLYv4kQAMnEAAIox6k3P5osrWfdNjn3kQCazgG/TgPgvVPn5z4SQETYv+kgAJKFAQRQjh43pQHwl4MFQIBGfbR3GgDHPCUAAmWwfxMhAJKJAQRQjl/cmAbAswc/nvtIAE3nY73vSWbpaAEQKIT9mwgBkEwMIIBy/O+NE5Ol9ZzbBUCARh3UJw2AI598IfeRACLC/k0HAZAsDCCAcpzytzQA/koABGjYwbUBcIoACJTB/k2EAEgmBhBAOX42MA2Ave94IveRAJrOIX1HJLN0xJR5uY8EEBH2bzoIgGRhAAGU4+SBjyRLax8BEKBhH/9NGgDveUIABMpg/yZCACQTAwigHCffUBMAhwqAAI36RL80AN71uAAIlMH+TYQASCYGEEA5fnL9hGRp7Tt0Su4jATSdQ/uNTGbpnZPn5j4SQETYv+kgAJKFAQRQjpNqAuBvhgmAAI06rH8aAIcLgEAh7N9ECIBkYgABlOPHf00DYP/hAiBAow4fMCqZpcMmCYBAGezfRAiAZGIAAZTjf2oC4IDhT+Y+EkDTOaIuAD6f+0gAEWH/poMASBYGEEA5fnTdw8nSeu6dAiBAo444Nw2AdzwmAAJlsH8TIQCSiQEEUI4fXpsGwPMEQICGfbImAA55VAAEymD/JkIAJBMDCKAcJ177UBoA73oq95EAms6nzhudzNLbH52T+0gAEWH/poMASBYGEEA5fnBNGgB/e7cACNCoT5+fBsDBEwVAoAz2byIEQDIxgADKccLVaQD83d1Tcx8JoOkcef6YZJYOeuS53EcCiAj7Nx0EQLIwgADK8f2rxydL6+/vEQABGvWZ3wqAQJns30QIgGRiAAGU4/i/pAHwAgEQoGG1AfDWCQIgUAb7NxECIJkYQADl+O6f0wB40cincx8JoOl89nf3JrP0lgn+Gxcog/2bCAGQTAwggHJ898/tAiDAZjr692kAvPlh/40LlMH+TYQASCYGEEA5vnNVGgAvHiUAAjTqmAvSAHjjQ/4bFyiD/ZsIAZBMDCCAcnzrygeTpfWSUc/kPhJA0/ncBWOTWfq38bNyHwkgIuzfdBAAycIAAijHcTUB8NLRAiBAo469MA2AAwVAoBD2byIEQDIxgADK8d9XpAHwD2MEQIBGff6i+9IA2C4AAmWwfxMhAJKJAQRQjm/WBMA/jpmW+0gATecLNQHwhvaZuY8EEBH2bzoIgGRhAAGU4xt/GpcsrZffKwACNOrfL04D4F8fFACBMti/iRAAycQAAijH1y8XAAE21xdrAuB14wRAoAz2byIEQDIxgADK8bXLH0iW1ivGPpv7SABN58uX3J/M0mvHzch9JICIsH/TQQAkCwMIoBz/9cc0AF55nwAI0Kj/e2kaAK95QAAEymD/JkIAJBMDCKAc//mHNABeJQACNOwrl7Yls/Tqtum5jwQQEfZvOgiAZGEAAZTjPy5Ll9Y/3z8995EAms5XambpXwRAoBD2byIEQDIxgADKYWkF2Hz+MQUolf2bCAGQTAwggHLU/dqa960CaJi3UwBKZf8mQgAkEwMIoBzeuB5g8/mDSkCp7N9ECIBkYgABlOPLl6QB8NpxAiBAo752eRoA/zRWAATKYP8mQgAkEwMIoBxfvPi+ZGm9btzM3EcCaDpfv3xcMksvv3da7iMBRIT9mw4CIFkYQADl+PeaAHj9gwIgQKO+8ScBECiT/ZsIAZBMDCCAcnzhojQA3tAuAAI06ptXPJjM0j+OEQCBMti/iRAAycQAAijH52sC4MD2WbmPBNB0/rsmAF42+pncRwKICPs3HQRAsjCAAMpx7IVj0wA4XgAEaNRxV6YB8FIBECiE/ZsIAZBMDCCAcnzugjQA/k0ABGjYt2oC4CWjBECgDPZvIgRAMjGAAMpxzAX3JkvrTQ+ZywCN+s5V7cksvXjU07mPBBAR9m86CIBkYQABlOPo36cB8OaHzWWARn33z2kAvGikAAiUwf5NhABIJgYQQDk++7s0AN4ywVwGaNR3/zw+maUXjpia+0gAEWH/poMASBYGEEA5PvPbMcnSeuuE53IfCaDpHP+XNABecI8ACJTB/k2EAEgmBhBAOWoD4KBHBECARn3/6jQA/l4ABAph/yZCACQTAwigHEeenwbA2ybOyX0kgKZzwtUPJbP0d3cLgEAZ7N9ECIBkYgABlOPT549OltbBAiBAw35wTRoAz7/rqdxHAogI+zcdBECyMIAAyvGp89IAePujAiBAo068Ng2A5wmAQCHs30QIgGRiAAGU45PnjkqW1iGPPp/7SABN54fXPpwGwDufzH0kgIiwf9NBACQLAwigHEfUBMChjwmAAI360XVpADxXAAQKYf8mQgAkEwMIoBxHDEgD4LBJAiBAo/7nrxOSWTpguAAIlMH+TYQASCYGEEA5Dq8LgHNzHwmg6fy4JgD2GzYl95EAIsL+TQcBkCwMIIByHNZ/ZLK0Dp8sAAI06qTr0wD4GwEQKIT9mwgBkEwMIIByHNovDYB3CoAADftJTQDsO1QABMpg/yZCACQTAwigHJ/oNyJZWu9+fF7uIwE0nZNveCSZpX2GPpH7SAARYf+mgwBIFgYQQDk+/ps0AN7zhAAI0KiTB6YBsPcdAiBQBvs3EQIgmRhAAOU4pG8aAEdMEQABGvWzgROTWfrrIY/nPhJARNi/6SAAkoUBBFCOg/vckyytI6e8kPtIAE3nlL+lAfBXtwuAQBns30QIgGRiAAGU46CaADjqSQEQoFH/e2MaAM8RAIFC2L+JEADJxAACKMfHeqcBcPRT83MfCaDp/OLGR5NZevZgARAog/2bCAGQTAwggHJ8tPfdydI6RgAEaFiPm9IAeNZtk3MfCSAi7N90EADJwgACKMcBv04D4L1TBUCARp16swAIlMn+TYQASCYGEEA59v9VGgDHTn0x95EAms6pNz+WzNJegyblPhJARNi/6SAAkoUBBFCO/X91V7K03v+0AAjQqJ63pAHwTAEQKIT9mwgBkEwMIIByfOScmgD4jAAI0KjTb00D4Om3Ppb7SAARYf+mgwBIFgYQQDk+XBMA2555KfeRAJrOGbdOSmZpz1sEQKAM9m8iBEAyMYAAyvGhs+9MltYHpgmAAI06c1AaAE8TAIFC2L+JEADJxAACKMcHf5kGwAeffTn3kQCazlm3TU5m6ak3C4BAGezfRAiAZGIAAZTjX84aniyt7dMFQIBG1QfAR3MfCSAi7N90EADJwgACKMd+NQFwvAAI0LBfDk4D4C9uFACBMti/iRAAycQAAijHB3qlAfChGQIgQKPOHvx4Mkv/98aJuY8EEBH2bzoIgGRhAAGU4/1nDqsJgAtyHwmg6ZxzexoAf/43ARAog/2bCAGQTAwggHLsWxMAJ8wUAAEa9eshaQA8RQAECmH/JkIAJBMDCKAc+5yRBsBHZi3MfSSAptP7jieSWXrywEdyHwkgIuzfdBAAycIAAijH3mcMTZbWiQIgQMP61AbAGwRAoAz2byIEQDIxgADKsefpaQB8dLYACNCoPkPTAPhTARAohP2bCAGQTAwggHLs2TMNgJOeW5T7SABN5zfDpiSz9CfXT8h9JICIsH/TQQAkCwMIoBzv63mHAAiwmfrVBMCTBECgEPZvIgRAMjGAAMqxx2lpAJw8RwAEaFT/4WkA/J+/CoBAGezfRAiAZGIAAZTjPacOSZbWx+cszn0kgKYzYPiTySz90XUP5z4SQETYv+kgAJKFAQRQjnfXBMAnnhcAARp17p1pAPyhAAgUwv5NhABIJgYQQDleu7Du3mNIPDl3Se4jATSd8+56Kg2A1wqAQBns30QIgGRiAAGUozYAPjVPAARo1Pk1AfAH1zyU+0gAEWH/poMASBYGEEAZ1q9fXxcApwqAAA377d1pADzhagEQKIP9mwgBkEwMIIAyrF1XHwCffkEABGjU7+6emszS7189PveRACLC/k0HAZAsDCCAMqxZu64uAD4zf2nuYwE0nQvuSQPg9/4iAAJlsH8TIQCSiQEEUIbVnQTAaQIgQMMuHJEGwOMFQKAQ9m8iBEAyMYAAyrBqTX0AfPbFV3IfC6DpXDTy6WSWfvfP7bmPBBAR9m86CIBkYQABlGHF6rV1AXC6AAjQsNoA+J2rBECgDPZvIgRAMjGAAMrQWQCc8ZIACNCoi0elAfDbAiBQCPs3EQIgmRhAAGVYvqo+AM56eVnuYwE0nUtHP5PM0m9d+WDuIwFEhP2bDgIgWRhAAGVYtmqNAAiwBVxWEwD/+woBECiD/ZsIAZBMDCCAMryysj4Azl4gAAI06g9j0gD4TQEQKIT9mwgBkEwMIIAyLFmxui4APrdwee5jATSdP46ZlszSb/xpXO4jAUSE/ZsOAiBZGEAAZVjcSQCcIwACNOzyewVAoEz2byIEQDIxgADKsGh5fQCcu2hF7mMBNJ0/jX02maVfv1wABMpg/yZCACQTAwigDIuW1QfAeYsFQIBGXVETAP/rjw/kPhJARNi/6SAAkoUBBFCGhctW1QXAFwRAgIZdeV8aAP/zDwIgUAb7NxECIJkYQABlePmVTgLgEgEQoFFX1QTAr/6hLfeRACLC/k0HAZAsDCCAMry0dGVdAHxx6crcxwJoOn9pm57M0v+4TAAEymD/JkIAJBMDCKAML3YSAF8SAAEadnVNAPzKpQIgUAb7NxECIJkYQABlmL+kPgC+/Mqq3McCaDpXPzAjmaX/99L7cx8JICLs33QQAMnCAAIowwuLV9QFwAUCIEDDrqkJgF++RAAEymD/JkIAJBMDCKAM8zoJgAuXCYAAjbp2XBoAvyQAAoWwfxMhAJKJAQRQhrmL6gPgouWrcx8LoOn89cGZySz94sX35T4SQETYv+kgAJKFAQRQhucXLa8LgItXCIAAjbq+JgB+4SIBECiD/ZsIAZBMDCCAMsxZWB8AlwiAAA27oT0NgJ8XAIFC2L+JEADJxAACKMPsBcvqAuDSlWtyHwug6Qxsn5UGwAvH5j4SQETYv+kgAJKFAQRQhlkv1wfAZasEQIBG/W18GgCPFQCBQti/iRAAycQAAihDZwFw+aq1uY8F0HRufGh2MkuPueDe3EcCiAj7Nx0EQLIwgADKMPOl+gC4YrUACNCom2oC4NG/FwCBMti/iRAAycQAAijD9BdfEQABtoCbH04D4Gd/JwACZbB/EyEAkokBBFCGZzsJgCvXCIAAjbplQhoAjxIAgULYv4kQAMnEAAIow7T5S+sC4Oq163IfC6DpDHrkuWSWfua3Y3IfCSAi7N90EADJwgACKMMznQTANQIgQMNqA+CR5wuAQBns30QIgMWaOXNmnHLKKbHPPvvEDjvsEN27d48DDzwwBgwYEMuWLduiz3rwwQfjxBNPjH322Sfe8pa3xI477hjvfe974+ijj47zzjsv5s+fv0WfF2EAAZTi6RfqA+DadetzHwug6dw2cU4ySz99/ujcRwKICPs3HQTAAg0ZMiR22WWX6gu09tp7771j2rRpm/2clStXxvHHHx/bbLPNBp9VqVTi1ltv3QLfVcoAAijD1HlL6gLgOgEQoGGDawLgv50nAAJlsH8TIQAWZ+LEibHDDjtEpVKJnXbaKXr37h1tbW0xYsSI+N73vld90e6zzz6xdOnSTX7OqlWr4rOf/Wz16x166KFx+eWXx3333Rfjxo2LgQMHRs+ePWPPPfcUAAFa2FOdBMD16wVAgEYNefT5ZJZ+SgAECmH/JkIALM7hhx8elUolunXrFm1tbXUf79+/f/WFe/bZZ2/yc84888zq1zn33HM3eu/q1as3+TkbYgABlOHJufUBEIDG3fFYGgA/ee6o3EcCiAj7Nx0EwIK0t7dXX5QnnHBCp/esW7cu9t1336hUKtG9e/dNinPTpk2LN7zhDVGpVOJb3/rW5h57kxhAAGWYMndxsrC++1QBEGBTDK0JgEcMGJX7SAARYf+mgwBYkJ49e1ZflOPGjdvgfX379q3ed9dddzX8nB49ekSlUoltttkmnn322c058iYzgADK8PicNAC+RwAE2CTDJqUB8HABECiE/ZsIAbAohx56aFQqldhxxx1jzZo1G7yvra2t+uLt1atXw89573vfG5VKJQ488MDq/7du3bqYPXt2PPvss7F8+fJNOn8jDCCAMkyesyhZWN972h25jwTQlIZNmpvM03/tPzL3kQAiwv5NBwGwIG9729uiUqnEhz70oY3et2DBguqL9ytf+UpDz5g/f371c0866aRYvHhx/OQnP4nu3btX//9u3brFYYcdFkOGbL2fAjGAAMow6bk0AL6vpwAIsCnunJwGwMMEQKAQ9m8iBMBirFixovqCPOaYY173/h133DEqlUocdNBBDT1n9OjR1ef06NEj9thjj+r/7uw6+eSTN+n7mT179kav177foQEEkE9tANyz59DcRwJoSnc9Pi+Zp5/oNyL3kQAiQgCkgwBYiNf+ZN5Xv/rV173/7W9/e1Qqldhvv/0aes4tt9xSfc4b3/jGqFQqccghh8SYMWNi+fLlsWDBgrjuuuviH//xH6v3XXrppQ1/PxuLirWXAQSQz2OzawLg6QIgwKa4uyYAfvw3AiBQBgGQCAGwGLNmzaq+IL/5zW++7v277bZbVCqV2GOPPRp6zjXXXJPEt/333z9WrFhRd9/UqVOrP2X4D//wDw2/L6AACNAcJs5amCysewmAAJvknifSAHhIXwEQKIMASIQAWIy/108A3njjjUl8Gz58+Abv/fnPf169b/DgwQ09x68AAzSHR2oC4D5nDMt9JICmNHLKCwIgUCQBkAgBsBh/r/cAHD58ePU522+/faxatWqD9959993Ve88888yGnvN6DCCAMkyYuSBZWPc9UwAE2BQjn0wD4MF97sl9JICIsH/TQQAsyN/jrwA//vjj1c/dbbfdNnrvk08+Wb33hBNOaOg5r8cAAijDwzUB8P0CIMAmGVUTAD/WWwAEymD/JkIALMqhhx4alUoldtxxx1izZs0G72tra6u+eHv16tXQM1avXh1veMMbolKpxD/90z9t9N7XxsIf/ehHDT3n9RhAAGV4aMbLycL6gV4bfmsIADZs9FPzk3n60d535z4SQETYv+kgABbktNNOq74ox40bt8H7+vbtW73vzjvvbPg5hx12WFQqldhuu+3ilVde2eB9gwcPrj6nT58+DT9nYwwggDKMn54GwP0EQIBNMqYmAB74awEQKIP9mwgBsCgPPvjg6/7K7bp162LfffeNSqUSu+66a6xevbrh5/z+97+vPue6667b4H3f+ta3qveNHTu24edsjAEEUIb2mgD4L2cJgACbYuzUF5N5eoAACBTC/k2EAFicV38NuFu3btHW1lb38f79+1dfuGeddVbdx0eNGlX9+HHHHdfpM5YuXVr9K8K77757zJs3r9Ovs91221X/0vD69es391tLGEAAZXjw2TQAfvCXjf9kOQAR9z2dBsD9f3VX7iMBRIT9mw4CYGEmTJgQb37zm6NSqcROO+0Uffr0iQceeCBGjhwZ3//+96sv2r322iuWLFlS9/ldCYARETfccENss8021T8GcvHFF8f48eNj7Nix0bNnz+oZunXrFvfdd98W/z4NIIAyjJv2UrKwfuhsARBgU9xfEwA/co4ACJTB/k2EAFikwYMHx84771x9gdZee+21Vzz99NOdfm5XA2BExEUXXRTbb7/9Bp+z0047xaBBg7bCd2gAAZSi7Zk0AP4fARBgk9z/TBoAPywAAoWwfxMhABZrxowZcfLJJ8dee+0VO+ywQ+y6665xwAEHRL9+/WLZsmUb/LxGAmBExOTJk+PEE0+M973vffHmN785dtppp/jgBz8Yv/jFL+L555/fgt9RygACKEPtwuonVgA2zQPT/IMKUCb7NxECIJkYQABlqP2VNe9ZBbBpvKUCUCr7NxECIJkYQABlqH/Ten+1EmBT1P5RJX9VHSiF/ZsIAZBMDCCAMoydmgbAA34tAAJsivbpaQDcTwAECmH/JkIAJBMDCKAMY56anyysBwqAAJtkfG0A7CUAAmWwfxMhAJKJAQRQhtE1AfBjve/JfSSApvTQjAXJPP2AAAgUwv5NhABIJgYQQBlGPflCsrAe1EcABNgUD89MA+C+Zw7LfSSAiLB/00EAJAsDCKAMI2sC4MECIMAmmVATAPc5QwAEymD/JkIAJBMDCKAMI6bMSxbWQ/qOyH0kgKb0yKyFyTzd+4yhuY8EEBH2bzoIgGRhAAGU4Z4nBECALWFiTQDc63QBECiD/ZsIAZBMDCCAMtz9eBoAP9FPAATYFI/NXpTM0z0FQKAQ9m8iBEAyMYAAynBXTQA8tN/I3EcCaEqTnksD4Pt63pH7SAARYf+mgwBIFgYQQBnunDw3WVgP6y8AAmyK2gC4x2kCIFAG+zcRAiCZGEAAZRg2KQ2A/yoAAmySyXPSAPheARAohP2bCAGQTAwggDIMm/R8srAeMWBU7iMBNKUnnl+czNP3nDok95EAIsL+TQcBkCwMIIAyDH2sJgCeOyr3kQCa0pS5aQDcvYcACJTB/k2EAEgmBhBAGe6oCYCfFAABNsmTc5cIgECR7N9ECIBkYgABlOH2R+cky+qnzhud+0gATempefUBcP369bmPBWD/JiIEQDIxgADKMHhiGgD/TQAE2CRTOwmA69YJgEB+9m8iBEAyMYAAynBbTQA88vwxuY8E0JSefmFpXQBcKwACBbB/EyEAkokBBFCGQY88lyyrn/mtAAiwKZ6ZXx8AV69dl/tYAPZvIkIAJBMDCKAMAiDAljGtkwC4ao0ACORn/yZCACQTAwigDLdMmJ0sq0f97t7cRwJoSs+++EpdAFy5Zm3uYwHYv4kIAZBMDCCAMtz8cBoAj/69AAiwKWa8VB8AV6wWAIH87N9ECIBkYgABlOGmh9IAeMwFAiDAppj50rK6ALh8lQAI5Gf/JkIAJBMDCKAMN9YEwM9dMDb3kQCa0qyX6wPgslVrch8LwP5NRAiAZGIAAZRh4PhZybJ67IUCIMCm6CwAvrJSAATys38TIQCSiQEEUIaB7WkA/LwACLBJZi+oD4BLBUCgAPZvIgRAMjGAAMpwQ/vMZFn9wkX35T4SQFOas3B5XQBcsmJ17mMB2L+JCAGQTAwggDJc/2AaAP/9YgEQYFM8v6g+AC5aLgAC+dm/iRAAycQAAijDX2sC4BcFQIBNMnfRivoAuEwABPKzfxMhAJKJAQRQhmvHzUiW1S9dcn/uIwE0pXmL6wPgwmWrch8LwP5NRAiA/x979x5vdV0n+n/NidOZwEoex0fnnDo9msZCLGcaR2zswnSZmWpypss05kxlTpmSTjVjNqWo4CUgwFtmXjIvmYqEpqLcBcTL5iIiiHgD5KYiqIggICC8f3/8Hu3jZ+3tJtaC3t/lfj4fj88/7cVeHx6Ptd7j+zXstUliAAFUw69nlgHwny8RAAEasWZDxwC47iUBEMhn/yZCACSJAQRQDdfUBcAjLmnLvhJAS1q74eUOAfC5jS9nXwvA/k1ECIAkMYAAquGatmVlALxUAARoxLMbOwbAZwVAoALs30QIgCQxgACq4ep7ywD4ZQEQoCHPdRIA124QAIF89m8iBECSGEAA1XDVPU8Uy+qRlwmAAI14/qWtHQLgmg1bsq8FYP8mIgRAkhhAANVwZV0A/NdfzMy+EkBLemFTJwHwRQEQyGf/JkIAJIkBBFANV9xdBsCvXC4AAjRi/aZtHQLg6vUCIJDP/k2EAEgSAwigGn5ZFwC/evms7CsBtKT1mzsGwKfXb86+FoD9m4gQAEliAAFUw+V3LS2W1a/9UgAEaMSLWzoGwKdeEACBfPZvIgRAkhhAANXwixllADzqitnZVwJoSRtf3t4hAD4pAAIVYP8mQgAkiQEEUA2XzVhSLKtfFwABGvJSJwFw5fObsq8FYP8mIgRAkhhAANVw6Z1lADz6SgEQoBGbtgqAQDXZv4kQAEliAAFUw8XTywD4bwIgQEM2b32lQwBc8ZwACOSzfxMhAJLEAAKohp9PX1wsq9+4ak72lQBa0pZtHQPg8udeyr4WgP2biBAASWIAAVTDRdPKAHjM1QIgQCNe3t4xAC57VgAE8tm/iRAASWIAAVRDxwB4X/aVAFrS1u07OgTApWs3Zl8LwP5NRAiAJDGAAKrhZ1MfL5bVb/1KAARoxLZXOgbAJQIgUAH2byIEQJIYQADV8NM7//13XwAAIABJREFUygB4rAAI0JDtnQTAxWsEQCCf/ZsIAZAkBhBANVwwpQyAx10jAAI04pUdOzsJgBuyrwVg/yYiBECSGEAA1XD+lMeKZfXbv56bfSWAlrRzZ8cA+NgzAiCQz/5NhABIEgMIoBrOm1wGwOOvFQABGlUfAB9dLQAC+ezfRAiAJDGAAKrh3LoAeMK192dfCaBl1QfAR1a/mH0lAPs3ESEAksQAAqiGcyY9WgbA6wRAgEb9ycllAHz4aQEQyGf/JkIAJIkBBFANIyeWAfA718/LvhJAy/rTU8YVM3XRUwIgkM/+TYQASBIDCKAaRkx8pFhWvysAAjRs/7oAuPDJ9dlXArB/ExECIEkMIIBqGD6hDIDfGyUAAjTqPQMFQKB67N9ECIAkMYAAqmHY+DIA/ocACNCw9w4cX8zUB1cJgEA++zcRAiBJDCCAahg6/uFiWf3PGx7IvhJAy3rvqWUAXLDqhewrAdi/iQgBkCQGEEA1DB1XBsATRwuAAI064LQyAD6wUgAE8tm/iRAASWIAAVTDkLoA+P3R87OvBNCy+p42oZip81asy74SgP2biBAASWIAAVTDj29fVCyrJ/1GAARo1IGnlwHwfgEQqAD7NxECIEkMIIBqOOu2MgD+QAAEaNj76gLg3OUCIJDP/k2EAEgSAwigGs4cWwbAH45ZkH0lgJZ10KCJdQHw+ewrAdi/iQgBkCQGEEA1nDH2oWJZ/dGNAiBAow4aXAbAOcsEQCCf/ZsIAZAkBhBANQy+tQyAJ98kAAI06s/qAuDsJwRAIJ/9mwgBkCQGEEA1DLplYV0AfDD7SgAt68/PmFTM1FlLn8u+EoD9m4gQAEliAAFUw+l1AfCU3wqAAI36wJllAJwpAAIVYP8mQgAkiQEEUA2n3VwGwFNvFgABGnXwWZOLmXrvkmezrwRg/yYiBECSGEAA1XDqzQ8Wy+ppNy/MvhJAy/rL+gC4WAAE8tm/iRAASWIAAVTDwN+WAfD0WwRAgEYdcnYZAO8RAIEKsH8TIQCSxAACqIaTbyoD4CABEKBhh5w9pZipdz8uAAL57N9ECIAkMYAAquHkmxYUy+rgWx/KvhJAyzr0x2UAvOvxtdlXArB/ExECIEkMIIBq+NGNZQA8Y6wACNCoDw4pA+CdjwmAQD77NxECIEkMIIBq+OGYMgCeOXZR9pUAWtZfDbmjmKnTH12TfSUA+zcRIQCSxAACqIYf/GZ+sayedZsACNCow4aWAXCaAAhUgP2bCAGQJAYQQDWcVBcAzxYAARr2ofoA+IgACOSzfxMhAJLEAAKohu+PLgPgkHEPZ18JoGV9eNjUYqZOfeSZ7CsB2L+JCAGQJAYQQDWcOPqBYlkdKgACNOwjPykD4JRFAiCQz/5NhABIEgMIoBpOvKEuAI4XAAEa9dHhZQCcLAACFWD/JkIAJIkBBFAN/zFqXrGsDhv/SPaVAFpW/+HTipk66aHV2VcCsH8TEQIgSQwggGr4Xl0AHD5BAARo1MdGlAFwogAIVID9mwgBkCQGEEA1fPf6MgCOmCgAAjTq4yOnFzN1wsKns68EYP8mIgRAkhhAANXwnboAOHLio9lXAmhZn6gLgOMfFACBfPZvIgRAkhhAANVwwnX3F8vqOZMEQIBGfeKcMgCOEwCBCrB/EyEAksQAAqiGE64tA+C5AiBAwz5ZFwBvXyAAAvns30QIgCQxgACq4fhr5xbL6nmTH8u+EkDL+ttz7yxm6m0Lnsq+EoD9m4gQAEliAAFUw7d/XQbA86cIgACN+rvzygB463wBEMhn/yZCACSJAQRQDQOuKQPgBVMez74SQMv61Hkzipl6ywNPZl8JwP5NRAiAJDGAAKrh2F/dVyyrP71DAARo1KfPFwCB6rF/EyEAksQAAqiGb9UFwAsFQICG1QfAm+cJgEA++zcRAiBJDCCAajjm6jIAXjRtcfaVAFrW319wVzFTb7rff+cC+ezfRAiAJDGAAKrhmKvnCIAAe8hnf1oGwBvn+u9cIJ/9mwgBkCQGEEA1fPOqMgD+fLoACNCowy8sA+AYARCoAPs3EQIgSQwggGr4tytnF8vqxdOXZF8JoGX9w4V3FzP1N/etzL4SgP2biBAASWIAAVTD0XUB8NI7BUCARn3uZ2UAHC0AAhVg/yZCACSJAQRQDV+/ogyAl80QAAEa9bmL7ilm6g1zVmRfCcD+TUQIgCQxgACq4ai6APiLGUuzrwTQsj5fFwBHzRYAgXz2byIEQJIYQADV8LVfziqW1cvvEgABGvWFn5cB8HoBEKgA+zcRAiBJDCCAavjq5QIgwJ7yxboAeN0sARDIZ/8mQgAkiQEEUA1fuXxmsaxecfcT2VcCaFlfuvjeYqb+euby7CsB2L+JCAGQJAYQQDX86y/KAHjlPQIgQKP++ZIyAF4jAAIVYP8mQgAkiQEEUA3/clkZAK8SAAEadsQlbWUAbFuWfSUA+zcRIQCSxAACqIYvX1ouq1ffuyz7SgAt64i6mforARCoAPs3EQIgSQwggGqoX1b9axWAxh15mf+nClA99m8iBECSGEAA1dDhx9V8XhVAw+o/VsHnqgJVYP8mQgAkiQEEUA31H1jvN1YCNK7+Fyv5zepAFdi/iRAASWIAAVTDP11cBsBrZwmAAI36yuVlAPylAAhUgP2bCAGQJAYQQDV88ef3FMvqdbNWZF8JoGV99fJZxUy9/K6l2VcCsH8TEQIgSQwggGr4Ql0AHDVbAARo1Nd+WQbAX8wQAIF89m8iBECSGEAA1fD5i8oAeMMcARCgUUddMbuYqZfNWJJ9JQD7NxEhAJLEAAKohs/VBcDRc1ZmXwmgZX29LgBeeqcACOSzfxMhAJLEAAKohn/82d1lALxPAARo1NFXlgHwEgEQqAD7NxECIEkMIIBq+IcLywA4Zq6ZDNCob1w1p5ipF08XAIF89m8iBECSGEAA1XD4hXcVy+qNAiBAw75ZFwAvmrY4+0oA9m8iQgAkiQEEUA2f/WkZAG+630wGaNQxVwuAQPXYv4kQAEliAAFUw2cuKAPgb+eZyQCNOubq+4qZ+rOpj2dfCcD+TUQIgCQxgACq4dPnzyiW1ZvnPZl9JYCW9a1flQHwwjsEQCCf/ZsIAZAkBhBANdQHwFseEAABGnXcNWUAvGCKAAjks38TIQCSxAACqIZPnVcGwFvnP5V9JYCWNeCaucVMPX/KY9lXArB/ExECIEkMIIBq+Lvz7iyW1bECIEDDvv3rMgCeN1kABPLZv4kQACtrxYoVcdJJJ0Xfvn2jZ8+e0bt37zj00ENj5MiRsWnTpr3ynJs2bYp3v/vd7YPhXe961155nggDCKAq/ubcMgDetkAABGjU8deWAfBcARCoAPs3EQJgJd1+++3x1re+tf0NWn8OOOCAWLp06R5/3pNOOql4HgEQ4PXvk+dML5bVcQ8+nX0lgJZ1wnX3lwFw0qPZVwKwfxMRAmDlzJ8/P3r27Bm1Wi322WefGDJkSLS1tcXUqVPj2GOPbX/T9u3bNzZu3LjHnnfevHnxhje8If74j/843vzmNwuAAN3EJ+oC4HgBEKBh/14XAEdOFACBfPZvIgTAyvn4xz8etVotevToEW1tbR2+PmLEiPY37plnnrlHnvOVV16JQw45JGq1Wpx11lnxrne9SwAE6CY+MbIMgBMWCoAAjfrO9fOKmTpi4iPZVwKwfxMRAmClzJkzp/1NOWDAgE4fs2PHjjjwwAOjVqtF7969Y9u2bU0/77nnntv+o8Vbt24VAAG6kY+NmFYXAFdnXwmgZX23LgAOnyAAAvns30QIgJUycODA9jflrFmzXvNxw4YNa3/c5MmTm3rO5cuXR69evaJWq8W0adMiIgRAgG7kr+sC4MSHBECARn1vVBkAfyIAAhVg/yZCAKyU/v37R61Wi169esX27dtf83FtbW3tb95BgwY19Zyf/exno1arxVFHHdX+vwmAAN1H/+FlAJy86JnsKwG0rP+84YFipg4d/3D2lQDs30SEAFgp++23X9RqtfjABz7Q5ePWrVvX/uY94ogjGn6+UaNGtf8o8Zo1a9r/dwEQoPv46PCpxbI6RQAEaNiJ9QFwnAAI5LN/EyEAVsaWLVva35CHH374Lh//ux/bPeywwxp6vnXr1sX/+l//K2q1Wlx22WXF1/ZEAFy1alWX59Wfd2gAAeT5yE/KAHjHwwIgQKNOHF0GwCECIFABAiARAmBlrF27tv0NeeSRR+7y8W9729uiVqvFQQcd1NDzHXPMMVGr1eJDH/pQ7Ny5s/jangiAv/u7/D7HAALI8+FhZQCc+ogACNCo74+eX8zUH9++KPtKAAIgESEAVsbKlSvb35Cv/jy+1/LOd74zarVa7L///rv9XDNmzIg/+qM/ih49esSCBQs6fF0ABOg+PjT0jmJZnfboml3/IQA69YPflAHw7NsEQCCfAEiEAFgZf6h/Afjyyy/HAQccELVaLU466aROH+NHgAG6j8PqAuB0ARCgYf81pgyAZ44VAIF8AiARAmBl/KE+A/D000+PWq0W73znO2Pjxo2dPsYvAQHoPv5qSBkA73xsbfaVAFrWD8csKGbqGWMfyr4SgP2biBAAK+UP8VuA3/jGN0atVotvfOMbMWrUqE7P7+6x3377tf9vU6dObeav1oEBBFANHxwypVhWZwiAAA370Y1lABx8qwAI5LN/EyEAVkr//v2jVqtFr169Yvv27a/5uLa2tvY376BBg3brOXbns/lefT72sY81+bcrGUAA1dDvx2UAvOtxARCgUSffJAAC1WP/JkIArJRTTjml/U05a9as13zcsGHD2h83adKk3XoOARCAVzvk7DIA3rP42ewrAbSsU377YDFTT79lYfaVAOzfRIQAWCmzZ89uf1MOGDCg08fs2LEjDjzwwKjVarHvvvvGtm3b9vg9fAYgQPdxyNmTi2X1XgEQoGED6wLgaTcLgEA++zcRAmDl/O7HgHv06BFtbW0dvj5ixIj2N+7gwYM7fH369OntXz/66KMbuoMACNB9/OVZdQFwiQAI0KhTby4D4Kk3P5h9JQD7NxEhAFbOvHnz4k1velPUarXYZ599YujQoTFz5syYNm1aHHfcce1v2j59+sSGDRs6/HkBEIDd8RdnTiqW1bYlz2VfCaBlnXbzwmKmDvytAAjks38TIQBW0tixY+Mtb3nLa34eX58+fWLx4sWd/lkBEIDd8YG6ADhzqQAI0KjTbykD4CkCIFAB9m8iBMDKWr58eZx44onRp0+f6NmzZ+y7777Rr1+/GD58eGzatOk1/5wACMDu+PMzygA4+4nns68E0LIG3/pQMVNPvmlB9pUA7N9EhABIEgMIoBr+bPDEYlmds0wABGhUfQD80Y0CIJDP/k2EAEgSAwigGg6qC4D3CYAADTtjbBkAfzhGAATy2b+JEABJYgABVMP7B5UBcO5yARCgUWeOXVTM1P8aMz/7SgD2byJCACSJAQRQDe87fUKxrN6/Yl32lQBa1tm3lQHwpN8IgEA++zcRAiBJDCCAajiwLgDOEwABGvbj28sA+P3RAiCQz/5NhABIEgMIoBr6nlYGwAdWvpB9JYCWNWTcw8VMPXH0A9lXArB/ExECIEkMIIBq6HPq+GJZnS8AAjRsaH0AvEEABPLZv4kQAEliAAFUw3vrAuCCVQIgQKOGji8D4H8KgEAF2L+JEABJYgABVMN7B5YBcOGT67OvBNCyfjLhkWKmfm/UvOwrAdi/iQgBkCQGEEA1vGfgOAEQYA8ZXhcAv3u9AAjks38TIQCSxAACqIb9TykD4ENPCYAAjRoxsQyA3xEAgQqwfxMhAJLEAAKohneffHuxrC566sXsKwG0rJETHy1m6r9fd3/2lQDs30SEAEgSAwigGv6kLgA+sloABGjUuZPKAHjCtQIgkM/+TYQASBIDCKAaXr2ovutHt8ejqzdkXwmgZZ07+bFiph5/7dzsKwHYv4kIAZAkBhBAvp07d3YIgI89IwACNOq8ugD47V8LgEA++zcRAiBJDCCAfDt2dAyAjwuAAA07f0oZAAdcIwAC+ezfRAiAJDGAAPK90kkAXLxGAARo1AVTHi9m6nHX3Jd9JQD7NxEhAJLEAALIt/2VHR0C4JK1G7OvBdCyLryjDIDf+pUACOSzfxMhAJLEAALIt62TALhUAARo2M+mlgHwmKsFQCCf/ZsIAZAkBhBAvq3bOwbAJ559KftaAC3rommL6wLgnOwrAdi/iQgBkCQGEEC+Ldte6RAAlwmAAA2rD4DfvEoABPLZv4kQAEliAAHk6ywArnhuU/a1AFrWxdOXFDP1366cnX0lAPs3ESEAksQAAsi3eWvHALjyeQEQoFGX3FkGwKMFQKAC7N9ECIAkMYAA8m3aul0ABNiDLq0LgF+/QgAE8tm/iRAASWIAAeTb+HLHALhqnQAI0KjLZpQB8CgBEKgA+zcRAiBJDCCAfBu2bOsQAJ98YXP2tQBa1i9mLC1m6td+OSv7SgD2byJCACSJAQSQ78VOAuDT6wVAgEZdflcZAL96uQAI5LN/EyEAksQAAsi3fnPHALh6/ZbsawG0rF/e/UQxU79y+czsKwHYv4kIAZAkBhBAvvWbOgbAZ14UAAEadUVdAPzXXwiAQD77NxECIEkMIIB8617a2iEArhEAARp25T1lAPyXywRAIJ/9mwgBkCQGEEC+5zsJgGs3vJx9LYCWdfW9y4qZeuRlbdlXArB/ExECIEkMIIB8z218uUMAfHajAAjQqF+1lQHwiEsFQCCf/ZsIAZAkBhBAvmc7CYDPCYAADbumPgBeIgAC+ezfRAiAJDGAAPKt3dAxAD7/0tbsawG0rGtmLi9m6j9fcm/2lQDs30SEAEgSAwgg35oXt3QIgOsEQICG/bouAH7pYgEQyGf/JkIAJIkBBJDvmU4C4PpN27KvBdCyrpu1opipX/z5PdlXArB/ExECIEkMIIB8q9d3EgA3C4AAjbp+dhkAvyAAAhVg/yZCACSJAQSQ7+n1mzsEwBe3CIAAjRpVFwA/f5EACOSzfxMhAJLEAALI9+QLHQPgBgEQoGE3zCkD4OcEQKAC7N9ECIAkMYAA8q1at6lDANz48vbsawG0rNFzVpYB8Gd3Z18JwP5NRAiAJDGAAPKtfL5jANy0VQAEaNRv7isD4D9cKAAC+ezfRAiAJDGAAPJ1FgA3b30l+1oALWvM3FXFTD38wruyrwRg/yYiBECSGEAA+VY81zEAbtkmAAI06sa6APjZnwqAQD77NxECIEkMIIB8y559SQAE2INuur8MgH9/gQAI5LN/EyEAksQAAsj3RCcBcOv2HdnXAmhZN897spipnz5/RvaVAOzfRIQASBIDCCDf0rUbOwTAba8IgACNuuUBARCoHvs3EQIgSQwggHxLOgmA2wVAgIbVB8BPnScAAvns30QIgCQxgADyLV6zoUMAfGXHzuxrAbSsW+c/VczUvzvvzuwrAdi/iQgBkCQGEEC+x5/pGAB3CIAADRtbFwD/9lwBEMhn/yZCACSJAQSQ77FOAuDOnQIgQKNuX/B0MVM/ec707CsB2L+JCAGQJAYQQL5HV3cMgAA0btyDZQD8hAAIVID9mwgBkCQGEEC+R1a/WCyqf3KyAAjQjPH1AXDk9OwrAdi/iQgBkCQGEEC+RU+VAfDdAiBAUyYsLAPgxwVAoALs30QIgCQxgADyPfTU+mJR3f+UcdlXAmhpEx9aXczVvx4xLftKAPZvIkIAJIkBBJBv4ZNlAHzPQAEQoBmT6gJg/+ECIJDP/k2EAEgSAwggX30AfO/A8dlXAmhpkxc9U8zVjw6fmn0lAPs3ESEAksQAAsi3YNULZQA8VQAEaMaUugD4kZ8IgEA++zcRAiBJDCCAfPNXlgGwjwAI0JQ7Hi4D4IeHCYBAPvs3EQIgSQwggHwP1AXAvqdNyL4SQEub9siaYq5+aOgd2VcCsH8TEQIgSQwggHzzVqwrFtUDTxcAAZox7dEyAB4mAAIVYP8mQgAkiQEEkO/+ugD4PgEQoCnT6wLgXw0RAIF89m8iBECSGEAA+eYuf75YVN8/aGL2lQBa2p2PrS3m6geHTMm+EoD9m4gQAEliAAHku29ZGQAPGiwAAjTjrsfLANjvxwIgkM/+TYQASBIDCCDfnLoA+GcCIEBT7n782WKuHnK2AAjks38TIQCSxAACyDf7iTIA/vkZk7KvBNDS7llcHwAnZ18JwP5NRAiAJDGAAPLNXPpcsah+4EwBEKAZ99YFwL88SwAE8tm/iRAASWIAAeRrW1IGwL8QAAGacu+SMgAeLAACFWD/JkIAJIkBBJCvflH1L1UAmuNfVgNVZP8mQgAkiQEEkK/+R9V8VhVAc2bVBUCfrQpUgf2bCAGQJAYQQL6OH1bvt1UCNKP+lyv57epAFdi/iRAASWIAAeS76/G1xaLa78cCIEAz5iwrA+BBAiBQAfZvIgRAkhhAAPlmPFYGwA8OEQABmjF3eRkA3z9IAATy2b+JEABJYgAB5LuzLgD+1ZA7sq8E0NLmLl9XzNX3nT4h+0oA9m8iQgAkiQEEkG/6o2uKRfWwoQIgQDPuX1EGwAMFQKAC7N9ECIAkMYAA8k17pAyAHxIAAZoyry4A9j1NAATy2b+JEABJYgAB5Jv6yDPFovrhYVOzrwTQ0h5Y+UIxVw84bXz2lQDs30SEAEgSAwgg3x0PlwHwIz8RAAGasWBVGQDfe6oACOSzfxMhAJLEAALIN2VRGQA/OlwABGjGg6vWlwFwoAAI5LN/EyEAksQAAsg3uS4A9h8+LftKAC1t4ZNlAHzPwHHZVwKwfxMRAiBJDCCAfBMfWl0sqn89QgAEaEZ9ANz/FAEQyGf/JkIAJIkBBJBvwsIyAH5MAARoykNPlQHw3Sffnn0lAPs3ESEAksQAAsg3YeHTxaL6iZHTs68E0NIefvrFYq7+iQAIVID9mwgBkCQGEEC+8Q/WBcBzpmdfCaClPbK6DIDv+pEACOSzfxMhAJLEAALIN64uAH5SAARoyqOrNwiAQOXYv4kQAEliAAHku23BU8WS+jfn3pl9JYCW9tgzHQPgzp07s68FdHP2byIEQJIYQAD5xs4vA+DfnScAAjRj8ZqOAfCVHQIgkMv+TYQASBIDCCDfrXUB8FPnzci+EkBLW7xmY4cAuP2VHdnXAro5+zcRAiBJDCCAfLc88GSxpH76fAEQoBlL1nYMgNsEQCCZ/ZsIAZAkBhBAvpvnCYAAe9LSTgLg1u0CIJDL/k2EAEgSAwgg32/nrSqW1M9ccFf2lQBa2hPPvtQhAG7Z9kr2tYBuzv5NhABIEgMIIN9N95cB8LM/FQABmrH8OQEQqB77NxECIEkMIIB8N84tA+DhFwqAAM1Y8dymDgFw81YBEMhl/yZCACSJAQSQb0xdAPyHC+/OvhJAS1v5fMcAuGnr9uxrAd2c/ZsIAZAkBhBAvtH3rSyW1H/8mQAI0IzOAuBLLwuAQC77NxECIEkMIIB8o+eUAfBzF92TfSWAlvbkC5s7BMANW7ZlXwvo5uzfRAiAJDGAAPLdMGdFsaR+XgAEaMpTnQTAFwVAIJn9mwgBkCQGEEC+UbPLAPiFnwuAAM14en3HALh+swAI5LJ/EyEAksQAAsh33awyAH5RAARoyur1WzoGwE0CIJDL/k2EAEgSAwgg37WzlhdL6j9dfG/2lQBa2jMvdgyA617amn0toJuzfxMhAJLEAALI9+uZZQD850sEQIBmrNnQMQA+LwACyezfRAiAJDGAAPJdUxcAj7ikLftKAC1t7YaXOwTA5za+nH0toJuzfxMhAJLEAALId03bsjIAXioAAjTj2Y0dA+CzAiCQzP5NhABIEgMIIN/V95YB8MsCIEBTnuskAK7dIAACuezfRAiAJDGAAPJddc8TxZL6L5fNzL4SQEtb99LWDgFwzYtbsq8FdHP2byIEQJIYQAD5rqwLgP/6CwEQoBkvbOoYAJ8RAIFk9m8iBECSGEAA+a64uwyAX7lcAARoxvpN2zoEwNXrBUAgl/2bCAGQJAYQQL7L71paLKlfvXxW9pUAWtr6zR0D4NPrN2dfC+jm7N9ECIAkMYAA8tUHwK/9UgAEaMaLWzoGwCdfEACBXPZvIgRAkhhAAPl+MaMMgEddMTv7SgAtbePL2zsEwFXrNmVfC+jm7N9ECIAkMYAA8l02Y0mxpH5dAARoykudBMCVzwuAQC77NxECIEkMIIB8l95ZBsCjrxQAAZqxaasACFSP/ZsIAZAkBhBAvounlwHw3wRAgKZs3vpKhwC44jkBEMhl/yZCACSJAQSQ7+fTFxdL6jevmpN9JYCWtmVbxwC47NmXsq8FdHP2byIEQJIYQAD5LppWBsBjrhYAAZrx8vaOAfAJARBIZv8mQgAkiQEEkK9jALwv+0oALW3r9h0dAuDStRuzrwV0c/ZvIgRAkhhAAPkuvOPxYkn91q8EQIBmbHulYwBcIgACyezfRAiAJDGAAPL9tC4AHisAAjRleycBcPGaDdnXAro5+zcRAiBJDCCAfBdMKQPggGvmZl8JoKXt2LGzQwB8/BkBEMhl/yZCACSJAQSQ7/wpjxVL6rd/LQACNGPnzo4B8DEBEEhm/yZCACSJAQSQ77zJZQA8/loBEKBZ9QHw0dUCIJDL/k2EAEgSAwgg37mTHi2W1BOuvT/7SgAtrz4APrL6xewrAd2c/ZsIAZAkBhBAvnPqA+B1AiBAs/7k5DIALnpKAARy2b+JEAAra8WKFXHSSSdF3759o2fPntG7d+849NBDY+TIkbFp06amvveWLVvilltuie985zvxwQ9+MHr37h09evSI3r17x2GHHRaDBw+Op59+eg/9TTpnAAHkGzmxDIDfuX5e9pUAWt6fnjKumK0PPbU++0pAN2f/JkIArKTbb7893vrWt7a/QevPAQccEEuXLm3oey9YsCDe/OY3v+b3/t1585vfHKPkkGTJAAAgAElEQVRHj97Df7P/xwACyDdi4iPFkvpdARCgafvXBcCFTwqAQC77NxECYOXMnz8/evbsGbVaLfbZZ58YMmRItLW1xdSpU+PYY49tf9P27ds3Nm7cuNvf/+67727/Hh/5yEdi2LBhMWXKlJg3b15MmjQpBgwYEG94wxuiVqvFG97whhg/fvxe+FsaQABVMHxCGQC/N0oABGjWewYKgEC12L+JEAAr5+Mf/3jUarXo0aNHtLW1dfj6iBEj2t+4Z5555m5//3vvvTe+/OUvx6JFi17zMbfcckv80R/9UdRqtdh///1j586du/08u2IAAeQbNr4MgP8hAAI07b0DxxezdcGqF7KvBHRz9m8iBMBKmTNnTvubcsCAAZ0+ZseOHXHggQdGrVaL3r17x7Zt2/bKXb70pS+132XevD2/EBpAAPmGjn+4WFJPvOGB7CsBtLw+p5YBcP5KARDIZf8mQgCslIEDB7a/KWfNmvWajxs2bFj74yZPnrxX7nLRRRe1P8eYMWP2+Pc3gADyDR1XFwBHC4AAzTrgtDIAPiAAAsns30QIgJXSv3//qNVq0atXr9i+fftrPq6tra39zTto0KC9cpdzzz23/TluuummPf79DSCAfEPqAuD3R8/PvhJAy+t72oRits5bsS77SkA3Z/8mQgCslP322y9qtVp84AMf6PJx69ata3/zHnHEEXvlLp/73Ofan6OrzwtslAEEkO/s2xYVS+pJvxEAAZp14OllALxfAASS2b+JEAArY8uWLe1vyMMPP3yXj+/Vq1fUarU47LDD9vhd5s+f3/6bgN///vc39D1WrVrV5Xn15x0aQAA5zqoLgD8QAAGa9r66ADh3+fPZVwK6OQGQCAGwMtauXdv+hjzyyCN3+fi3ve1tUavV4qCDDtqj93j55ZejX79+7Xe59dZbG/o+v/vzv88xgABynDm2DIA/HLMg+0oALe+gQROL2XrfMgEQyCUAEiEAVsbKlSvb35BHHXXULh//zne+M2q1Wuy///579B7f+ta32u9x9NFHN/x9BECA6jtj7EPFkvqjGwVAgGYdNLgMgHMEQCCZAEiEAFgZVfgXgEOHDm2/wyGHHBIvvfRSw9/LjwADVN/gW8sAePJNAiBAs/6sLgDOfkIABHIJgEQIgJWR/RmAl156afvzH3DAAbF27do98n1fiwEEkG/QLQvrAuCD2VcCaHl/fsakYrbOWvpc9pWAbs7+TYQAWClZvwX4+uuvj//23/5b1Gq1eNe73vUHGQgGEEC+0+sC4MDfCoAAzfqLM8sA2LZEAARy2b+JEAArpX///lGr1aJXr16xffv213xcW1tb+5t30KBBTT3nrbfeGj169IharRb/5//8n1iyZElT3+/3ZQAB5Dvt5jIAnnqzAAjQrIPPmlzM1nuXPJt9JaCbs38TIQBWyimnnNL+ppw1a9ZrPm7YsGHtj5s0aVLDz3fHHXfE//gf/yNqtVr8z//5P+Ohhx5q+HvtLgMIIN+pNz9YLKmn3bww+0oALe8v6wPgYgEQyGX/JkIArJTZs2e3vykHDBjQ6WN27NgRBx54YNRqtdh3331j27ZtDT3Xvffe2/45gm95y1ti7ty5zVx9txlAAPlO+W0ZAE+/RQAEaNYhZ5cB8B4BEEhm/yZCAKyc3/0YcI8ePaKtra3D10eMGNH+xh08eHCHr0+fPr3960cffXSnz/HAAw/Evvvu2/7jxvfcc88e/lvsmgEEkO/km8oAOEgABGjaIWdPKWbrXY/v3V+uB7Ar9m8iBMDKmTdvXrzpTW+KWq0W++yzTwwdOjRmzpwZ06ZNi+OOO679TdunT5/YsGFDhz+/qwC4ZMmSeNvb3tb+mPPPPz8WLlzY5VmzZs0e/3saQAD5Tr5pQbGkDr71D/dREACvV4f+uAyAMx4TAIFc9m8iBMBKGjt2bLzlLW9pf4PWnz59+sTixYs7/bO7CoBXXXXVa37f1zqd/UvDZhlAAPl+dGMZAM8YKwACNOuDQ8oAeKcACCSzfxMhAFbW8uXL48QTT4w+ffpEz549Y999941+/frF8OHDY9OmTa/55wRAAH5fPxxTBsAzxy7KvhJAy/urIXcUs3X6o3v+p2kAdof9mwgBkCQGEEC+H/xmfrGknnWbAAjQrMOGlgFwmgAIJLN/EyEAksQAAsh3Ul0A/PHtAiBAsz48bGoxW6c+8kz2lYBuzv5NhABIEgMIIN/3R5cBcMi4h7OvBNDy6gPgHQ8LgEAu+zcRAiBJDCCAfCeOfqBYUocKgABN+8hPygA4ZZEACOSyfxMhAJLEAALI95831AXA8QIgQLM+OrwMgJMFQCCZ/ZsIAZAkBhBAvv8YNa9YUoeNfyT7SgAtr//wacVsnfjQ6uwrAd2c/ZsIAZAkBhBAvu/VBcDhEwRAgGZ9bEQZACcsFACBXPZvIgRAkhhAAPm+e30ZAEdMFAABmvXxkdPrAuDT2VcCujn7NxECIEkMIIB836kLgCMnPpp9JYCW94m6ADj+QQEQyGX/JkIAJIkBBJDvhOvuL5bUcyYJgADN+sQ5ZQAcJwACyezfRAiAJDGAAPKdcG0ZAM+d/Fj2lQBa3t+ce2cxW29b8FT2lYBuzv5NhABIEgMIIN/x184tltTzBECApv1tXQAcO18ABHLZv4kQAEliAAHk+/avywB4/hQBEKBZf3deGQBvFQCBZPZvIgRAkhhAAPmOu+a+Ykm9YMrj2VcCaHmfOm9GMVtveeDJ7CsB3Zz9mwgBkCQGEEC+Y39VBsCf3iEAAjTr0+eXAfDmeQIgkMv+TYQASBIDCCDft+oC4M+mCoAAzfrMBXcVs/W38/y3LpDL/k2EAEgSAwgg3zFXlwHwommLs68E0PL+vi4A3nS//9YFctm/iRAASWIAAeQ75uo5AiDAHvbZn5YB8Ma5/lsXyGX/JkIAJIkBBJDvG1eVAfDn0wVAgGYdfmEZAMcIgEAy+zcRAiBJDCCAfP925exiSb3kziXZVwJoef/4s7uL2Tr6vpXZVwK6Ofs3EQIgSQwggHxH1wXASwVAgKZ9rj4AzhEAgVz2byIEQJIYQAD5vn5FGQAvmyEAAjTrcxfdU8zWG+asyL4S0M3Zv4kQAEliAAHkO6ouAP5ixtLsKwG0vM/XBcBRswVAIJf9mwgBkCQGEEC+r/1yVrGkXn6XAAjQrC/8vAyA180SAIFc9m8iBECSGEAA+b56eRkAf3n3E9lXAmh5/3TxvcVsvXbW8uwrAd2c/ZsIAZAkBhBAvq9cPrNYUq8QAAGa9qW6APjrmQIgkMv+TYQASBIDCCDfv/6iDIBX3iMAAjTrny8pA+A1AiCQzP5NhABIEgMIIN+Rl7UVS+pVAiBA0464pJyt17Qty74S0M3Zv4kQAEliAAHk+/Kl5ZJ69b3Lsq8E0PKOMFuBirF/EyEAksQAAshXv6T6VyoAzfOvq4GqsX8TIQCSxAACyNfhx9R8ThVA0/7lMp+vClSL/ZsIAZAkBhBAvvoPqvebKgGaV/8LlvyGdSCb/ZsIAZAkBhBAvn+6uAyA184SAAGa9ZXLywB4+V1Ls68EdHP2byIEQJIYQAD5vvjze4ol9frZK7KvBNDyvvbLWQIgUCn2byIEQJIYQAD5vlAXAEcJgABNqw+Av5ghAAK57N9ECIAkMYAA8n3+ojIA3jBHAARo1lFXzC5m62UzlmRfCejm7N9ECIAkMYAA8n3uZ3cXS+roOSuzrwTQ8r5eFwAvvVMABHLZv4kQAEliAAHk+8f6AHifAAjQrKOvLAPgxdMFQCCX/ZsIAZAkBhBAvn+4sAyAY+aaxwDN+sZVc4rZ+vPpi7OvBHRz9m8iBECSGEAA+Q6/8K5iSb1RAARo2jfrAuBF0wRAIJf9mwgBkCQGEEC+z/60DIA33W8eAzTrmKsFQKBa7N9ECIAkMYAA8n3mgjIA/naeeQzQrGOuvq+YrRfe8Xj2lYBuzv5NhABIEgMIIN+nz59RLKm3PPBk9pUAWt6xvyoD4E8FQCCZ/ZsIAZAkBhBAPgEQYM877poyAF4wRQAEctm/iRAASWIAAeT71HllALx1/lPZVwJoeQOumVvM1vOnPJZ9JaCbs38TIQCSxAACyPe3595ZLKljBUCApn3712UAPG+yAAjksn8TIQCSxAACyPc3dQHwtgUCIECzjr+2DIDnTno0+0pAN2f/JkIAJIkBBJDvk+dML5bUcQ8+nX0lgJZ3wnX3F7P1HAEQSGb/JkIAJIkBBJDvE3UBcLwACNC0f68LgCMnCoBALvs3EQIgSQwggHyfGFkGwAkLBUCAZn3n+nnFbB0x8ZHsKwHdnP2bCAGQJAYQQL6PjZhWFwBXZ18JoOV9ty4A/mSCAAjksn8TIQCSxAACyPfXdQFw0kMCIECz/mNUGQCHjRcAgVz2byIEQJIYQAD5+g8vA+DkRc9kXwmg5f3nDQ8Us3Xo+IezrwR0c/ZvIgRAkhhAAPk+OnxqsaROEQABmnZifQAcJwACuezfRAiAJDGAAPJ9eFgZAO94WAAEaNaJo8sAOEQABJLZv4kQAEliAAHkqw+AUx8RAAGa9f3R84vZevZti7KvBHRz9m8iBECSGEAA+T409I5iSZ326JrsKwG0vB/8pgyAZwmAQDL7NxECIEkMIIB8h9UFwOkCIEDT/mtMGQDPHCsAArns30QIgCQxgADy/dWQMgDe+dja7CsBtLwfjllQzNYzxj6UfSWgm7N/EyEAksQAAsh36I+nFEvqDAEQoGk/urEMgINvFQCBXPZvIgRAkhhAAPn61QXAux9/NvtKAC3v5JseLGbroFsWZl8J6Obs30QIgCQxgADyHXJ2GQDvWSwAAjTrlN+WAfB0ARBIZv8mQgAkiQEEkO+QsycXS+q9AiBA0wbWBcDTbhYAgVz2byIEQJIYQAD5Dj6rLgAuEQABmnXqzWUAPPXmB7OvBHRz9m8iBECSGEAA+f7izEnFktq25LnsKwG0vNNuXljM1lN+KwACuezfRAiAJDGAAPJ9oC4AzloqAAI0a9AtZQA8+SYBEMhl/yZCACSJAQSQ78/PKAPg7Ceez74SQMsbfOtDdQFwQfaVgG7O/k2EAEgSAwgg358NnlgsqXOWCYAAzaoPgD+6UQAEctm/iRAASWIAAeQ7aFAZAO8TAAGadsbYMgD+15j52VcCujn7NxECIEkMIIB8768LgHOXC4AAzTpz7KJitv7gNwIgkMv+TYQASBIDCCDf+06fUCyp969Yl30lgJZ39m1lADxJAASS2b+JEABJYgAB5DuwLgDOEwABmvbj28sA+P3RAiCQy/5NhABIEgMIIF/f08oA+MDKF7KvBNDyhox7uJitJ45+IPtKQDdn/yZCACSJAQSQr8+p44sldb4ACNC0oXUB8D9vEACBXPZvIgRAkhhAAPneWxcAH1y1PvtKAC1v2PhHitn6H6PmZV8J6Obs30QIgCQxgADyvXdgGQAXPikAAjTrJxPKAPg9ARBIZv8mQgAkiQEEkO89A8cJgAB72PC6APjd6wVAIJf9mwgBkCQGEEC+Pz2lDIAPPSUAAjRrxMQyAP77dfdnXwno5uzfRAiAJDGAAPK9++TbiyV10VMvZl8JoOWNnPhoMVtPEACBZPZvIgRAkhhAAPn+pC4APrJaAARo1rmT6gLgtQIgkMv+TYQASBIDCCDfqxfUd/3o9nh09YbsKwG0vHMnP1bM1uOvnZt9JaCbs38TIQCSxAACyLVz584OAfCxZwRAgGadVxcAv/1rARDIZf8mQgAkiQEEkGvHjo4B8HEBEKBp508pA+Bx19yXfSWgm7N/EyEAksQAAsj1SicBcPGajdnXAmh5P73j8WK2HvsrARDIZf8mQgAkiQEEkGv7Kzs6BMAlawVAgGZdWBcAvyUAAsns30QIgCQxgABybeskAC4VAAGa9rOpZQA85moBEMhl/yZCACSJAQSQ6+Xtr3QIgE88+1L2tQBa3kXTFtcFwDnZVwK6Ofs3EQIgSQwggFxbtnUMgMsEQICm1QfAb1wlAAK57N9ECIAkMYAAcnUWAFc8tyn7WgAt7+LpS4rZ+m9Xzs6+EtDN2b+JEABJYgAB5Nq8tWMAXPm8AAjQrEvuLAPg0QIgkMz+TYQASBIDCCDXpq3bBUCAveDSugD49SsEQCCX/ZsIAZAkBhBAro0vdwyAq9YJgADNumxGGQC/9stZ2VcCujn7NxECIEkMIIBcG7Zs6xAAn3phc/a1AFre5XctFQCBSrF/EyEAksQAAsj1YicB8On1AiBAs+oD4FcvFwCBXPZvIgRAkhhAALnWb+4YAFev35J9LYCW98u7nyhm61cun5l9JaCbs38TIQCSxAACyPXCpq0dAuAzLwqAAM26oi4A/usvBEAgl/2bCAGQJAYQQK51L3UMgGsEQICmXXlPGQCPvKwt+0pAN2f/JkIAJIkBBJDr+U4C4NoNL2dfC6DlXX3vsmK2fvlSARDIZf8mQgAkiQEEkOu5jS93CIDPbhQAAZr1q7YyAB4hAALJ7N9ECIAkMYAAcj3bSQB8TgAEaNo19QHwEgEQyGX/JkIAJIkBBJBrzYYtHQLg8y9tzb4WQMu7ZubyYrZ+6eJ7s68EdHP2byIEQJIYQAC51rzYMQC+sEkABGjWtbPKAPhPAiCQzP5NhABIEgMIINcznQTA9Zu2ZV8LoOVdN2tFMVu/+PN7sq8EdHP2byIEQJIYQAC5Vq/vJABuFgABmnX97DIAfkEABJLZv4kQAEliAAHkeuqFzR0C4ItbBECAZo2qC4Cfv0gABHLZv4kQAEliAAHkerKTALhBAARo2g1zygD4uZ/dnX0loJuzfxMhAJLEAALItWrdpg4B8KWXt2dfC6Dljb5vZTFb/1EABJLZv4kQAEliAAHkWvl8xwC4aasACNCs39QFwH+4UAAEctm/iRAASWIAAeTqLABu3vpK9rUAWt6YuauK2Xr4hXdlXwno5uzfRAiAJDGAAHItf+6lDgFwyzYBEKBZN9YFwL+/QAAEctm/iRAASWIAAeRa9qwACLA33HR/GQA/IwACyezfRAiAJDGAAHI90UkA3Lp9R/a1AFrezfOeLGbrp8+fkX0loJuzfxMhAJLEAALItXTtxg4BcNsrAiBAs255QAAEqsX+TYQASBIDCCDXkk4C4HYBEKBp9QHwU+cJgEAu+zcRAiBJDCCAXIvXbOgQAF/ZsTP7WgAt79b5TxWz9W/PvTP7SkA3Z/8mQgAkiQEEkOvxZzoGwJ07BUCAZt22oAyAfyMAAsns30QIgCQxgAByPdZJAASgebcveLqYrZ88Z3r2lYBuzv5NhABIEgMIINejqwVAgL1h3INlAPyEAAgks38TIQCSxAACyPXw0y8WC+qfnCwAAuwJ4+sC4MdHTs++EtDN2b+JEABJYgAB5Fr0VBkA3y0AAuwRExaWAfBjI6ZlXwno5uzfRAiAJDGAAHI99NT6YkHd/5Rx2VcCeF2Y+NDqYr7+tQAIJLN/EyEAksQAAsi18MkyAL5noAAIsCdMqguA/YcLgEAu+zcRAmBlrVixIk466aTo27dv9OzZM3r37h2HHnpojBw5MjZt2rTHnmfChAnxxS9+Md7xjnfEG9/4xnjHO94RX/ziF2PChAl77Dk6YwAB5KoPgO8dOD77SgCvC5MXPVPM148On5p9JaCbs38TIQBW0u233x5vfetb29+g9eeAAw6IpUuXNvUcO3fujOOOO+41n6NWq8Vxxx0XO3fu3EN/q5IBBJBrwaoXygB4qgAIsCdMqQuAHx4mAAK57N9ECICVM3/+/OjZs2fUarXYZ599YsiQIdHW1hZTp06NY489tv1N27dv39i4cWPDzzNw4MD273XwwQfHqFGjYs6cOTFq1Kg4+OCD27926qmn7sG/3f9jAAHkmr+yDIAHnCYAAuwJUx8RAIFqsX8TIQBWzsc//vGo1WrRo0ePaGtr6/D1ESNGtL9xzzzzzIaeY/HixdGjR4+o1WrRr1+/2Lx5c/H1TZs2Rb9+/drvsWTJkoaepysGEECuB+oCYN/T9u5HPwB0F9MeWVPM1w8NvSP7SkA3Z/8mQgCslDlz5rS/KQcMGNDpY3bs2BEHHnhg1Gq16N27d2zbtm23n+eEE05of56ZM2d2+piZM2e2P+Y73/nObj/HrhhAALnmrVhXLKgHni4AAuwJ0x4tA+BhAiCQzP5NhABYKa/+sdxZs2a95uOGDRvW/rjJkyfv1nPs3Lkz3vGOd7T/GHFXDjjggKjVavF//+//3eOfBWgAAeSau7wMgO8TAAH2iOl1AfCDQ6ZkXwno5uzfRAiAldK/f/+o1WrRq1ev2L59+2s+rq2trf3NO2jQoN16jqVLl+7yXxn+zqt/ScgTTzyxW8+zKwYQQK65y58vFtT3D5qYfSWA14U7H1tbzNdDfywAArns30QIgJWy3377Ra1Wiw984ANdPm7dunXtb94jjjhit57j9ttvb/+z559/fpePPe+889ofO27cuN16nl0xgABy3besDIAHDRYAAfaEux4vA2A/ARBIZv8mQgCsjC1btrS/IQ8//PBdPr5Xr15Rq9XisMMO263nueSSS9qfZ8yYMV0+dsyYMe2PvfTSS3freVatWtXlefXnHX5myM3xTxff6ziO4/wBz6fOm1EsqH8mAALsEXc//mwxX/c/ZVz6zHccp3ufzwy5WQBEAKyKtWvXtr8hjzzyyF0+/m1ve1vUarU46KCDdut5Xv1bhCdM6PrznsaPH9/+2HPOOWe3nud3f+73Oe84/uriP5Icx3GcP/z58zMm7dacB6Bz9yx+Nn2mO47jvPq84/irBUAEwKpYuXJl+xvyqKOO2uXj3/nOd0atVov9999/t57nrLPOan+eqVOndvnYqVOntj/27LPP3q3nEQAdx3Fa63x0eNf/NwGA38/CJ9enz3THcZxXHwGQCAGwMl5v/wJwd34EWAB0HMfJP5fcuWS35jwAnXtlx874ws/vSZ/rjuM4vzsCIBECYGW83j4DcFde/SGkF46dFdfNWuE4juMknftXrNujMx6gu9u89ZWY9NDq9PnuOI5z3awVceHYWQIgAmCV/CF+C/Btt93mtwADAABAN2H/JkIArJT+/ftHrVaLXr16xfbt21/zcW1tbe1v3kGDBu3WcyxdurT9zw4YMKDLxx533HHtj33iiSd263l2xQACAACAvc/+TYQAWCmnnHJK+5ty1qxZr/m4YcOGtT9u0qTd+62NO3fujLe//e1Rq9Wib9++XT62b9++//9n9L3jHbFz587dep5dMYAAAABg77N/EyEAVsrs2bN3+a/zduzYEQceeGDUarXYd999Y9u2bbv9PMcff3z788ycObPTx8ycObP9MSeccMJuP8euGEAAAACw99m/iRAAK+d3Pwbco0ePaGtr6/D1V/8W38GDB3f4+vTp09u/fvTRR3f6HI899lj06NEjarVa9OvXLzZv3lx8ffPmzdGvX7/2ezz++ON74q9WMIAAAABg77N/EyEAVs68efPiTW96U9Rqtdhnn31i6NChMXPmzJg2bVrxmXx9+vSJDRs2dPjzv08AjIg4+eST2x938MEHxw033BD33Xdf3HDDDXHwwQe3f+2UU07ZK39PAwgAAAD2Pvs3EQJgJY0dOzbe8pa3tL9B60+fPn1i8eLFnf7Z3zcA7tixI775zW++5nPUarU45phjYseOHXvl72gAAQAAwN5n/yZCAKys5cuXx4knnhh9+vSJnj17xr777hv9+vWL4cOHx6ZNm17zz/2+AfB3xo0bF5///Ofj7W9/e7zxjW+Mt7/97fH5z38+xo8fvwf/Nh0tW7as/Z5z5syJVatWOY7jOI7jOI7jOI6zh8+cOXPa9+9ly5bt1V2f6hIASfHqAeQ4juM4juM4juM4zt4/c+bMyc4BJBEASSEAOo7jOI7jOI7jOM4f9giA3ZcASIotW7bEnDlzYs6cObFs2bI98k+Z/SixU3+8PpyujteH09Xx+nB2dbxGnK6O14fT1fH6cLo6e+P1sWzZsvb9e8uWLdk5gCQCIC1t1SofZspr8/qgK14fdMXrg13xGqErXh90xeuDrnh9sLcIgLQ0w5GueH3QFa8PuuL1wa54jdAVrw+64vVBV7w+2FsEQFqa4UhXvD7oitcHXfH6YFe8RuiK1wdd8fqgK14f7C0CIC3NcKQrXh90xeuDrnh9sCteI3TF64OueH3QFa8P9hYBkJZmONIVrw+64vVBV7w+2BWvEbri9UFXvD7oitcHe4sASEszHOmK1wdd8fqgK14f7IrXCF3x+qArXh90xeuDvUUApKUZjnTF64OueH3QFa8PdsVrhK54fdAVrw+64vXB3iIA0tIMR7ri9UFXvD7oitcHu+I1Qle8PuiK1wdd8fpgbxEAAQAAAOB1TAAEAAAAgNcxARAAAAAAXscEQAAAAAB4HRMAAQAAAOB1TAAEAAAAgNcxARAAAAAAXscEQAAAAAB4HRMAAQAAAOB1TAAEAAAAgNcxARAAAAAAXscEQJqyYsWKOOmkk6Jv377Rs2fP6N27dxx66KExcuTI2LRpU1Pfe8eOHbFo0aK46qqr4vjjj49+/frFG9/4xqjValGr1WL69Om7/B6DBw9uf/zvewYPHtzl93zooYdiwIABsf/++8cf//Efx3777Rf9+/ePSy+9NLZv397U3/n1pru8Pnbu3Bl33313nH766fHJT34y/vf//t/x3//7f483v/nN8f+1d+exUVXvH8dPobRAoewUIgplXwVUVtkUJRGIIIKCShAJIotBIIqgQIBovyCLLEKsBAoii8QoIJsGKjQUylJ22TdREcteaGlxfH5/ND20dGZ6Z9pvvr97zvuV9B/m3HPPwIfLwzN3zm3YsKEMHTpUDh48WKD3ayJb8uFPnz59ch1//vz5oN6viWzNx8WLF2XixIny5JNPSsWKFSU8PFyqVasm7dq1k/eAVs4AABNJSURBVAkTJsiRI0cK9N5NYltGUlNTZfbs2dKpUyepWLGi/nemcePGMnz4cDl69GiB3rNp/r/nI6ctW7ZI3759JTo6WkqUKKH/3vfo0UNWr14t//77r6N5qFGdsyUf1KjBsSUf/lCjmokGIIL2448/SpkyZXwWsfXq1ZOzZ88GPX9cXJzfIvm/VXyvWLHC53yLFi2S8PBwn8e2bt1arl69GvR7NolN+XjsscfyPS4kJEQ++OCDoP8RNo1N+fD3e/Dw8RRXWWzNx9y5cyUiIsLvHCNHjgz6fZvEtowcOnRIqlev7vfY0NBQmTFjRtDv2SRuyIeISEZGhrzyyiv55qJTp05y8+ZNv3NRozpnUz6oUQNnUz58oUY1Fw1ABOXgwYNSsmRJUUpJqVKl5JNPPpHExETZunWrDB48WF8o6tevL6mpqUGdY8mSJXqeYsWKSfPmzaVJkyYBXRyvXLkiR44c8ftz8OBBiYyMFKWUREZGSlpamte5Nm/eLEWKFBGllERFRcncuXMlKSlJNm3aJL169dLr6tChg3g8nqDesylsy0fRokVFKSW1a9eWsWPHyrp162Tfvn2SkJAgU6ZMkXLlyul1jRs3Lqj3axLb8uFNamqqLsorV65McZWDrfmYOnWqPn/NmjXlP//5j8THx8u+fftk7dq18tlnn0nbtm1l1KhRQb1nk9iWkZs3b0rVqlVz1RkrV66UpKQk2bBhg7z33ntSrFgx/frq1auDes+mcEs+RESGDh2qj6lcubLMmDFDtm3bJgkJCbJgwYJcTd+uXbv6nIca1Tnb8kGNGhjb8uENNarZaAAiKJ06dRKlsj5tTkxMzPP69OnT9cVi8uTJQZ0jKSlJ5syZI7t27ZL09HQRyf1peqC3R/uyceNGPeegQYO8jrl//77Url1bF+hnzpzJM2bYsGF6nqVLlxbK2tzKtny0adNGNm/e7POT0zNnzkilSpX070lBPjU0gW358GbkyJGilJLOnTvLgAEDKK5ysDEfW7du1eN69+4t9+7d8zk2IyOjUNbmZrZlZMaMGXpMnz59vI5Zu3atHtOkSZNCWZtbuSUfV65c0U27cuXKyaVLl/KMuXXrltSoUUPPu3///jxjqFEDY1s+qFEDY1s+vKFGNRsNQARsz549+kIwZMgQr2M8Ho80aNBAX5QyMzML5dz/jeK7b9++es7t27d7HfPtt9/qMTExMV7H3L17V3+K1rhx40JZmxvZmA8n5s2bp+eZNWtWoazNjciHyN69e6Vo0aISHh4uJ0+epLjKwcZ8eDweqVOnjiiV9bUif80/2JmRl156SY85fPiwz7maN2+ux92+fbtQ1uc2bspHzqbt6NGjfY6bM2eOHjdv3rw8r1OjOmdjPpygRs1CPqhRbUADEAEbP368vhDs3r3b57iYmBg97qeffiqUcxd28X3r1i0pUaKEKKUkOjra56djr732mj7v5cuXfc43ZMgQPe7UqVMFXp8b2ZgPJ44eParXNnz48AKvza1sz8f9+/elWbNmotSDzf4prh6wMR+bNm3S542LiyvweU1nY0a6deumz3vnzh2f8/Xu3VuPs3WvNzflY82aNXr8/PnzfY7LuReXtz0eqVGdszEfTlCjZrE9H9SodqABiIC1b99elFISERHh94liiYmJ+oIxceLEQjl3YRffixYtcrTGRx99VJTKujvDnxUrVuj5Fi9eXOD1uZGN+XBi//79eq533323wGtzK9vzMW3aNFFKSZ06dfSdXhRXD9iYj7feekuUUlK0aNFcd22lpKTI6dOnA96423Q2ZmTUqFF6nJM7AMuXL1/gtbmVm/Jx6NAhPd7pHTzr1q3L8zo1qnM25sMJatQstueDGtUONAARsIoVK4pSSpo2bep33PXr1/UFw9eeNYEq7OK7Q4cOej5ve6aIZG2EGhISIkop6dGjh9/5kpOT9Xzvv/9+gdfnRrblw6lZs2bpub744osCr82tbM7HuXPn9MbSP//8s/51iqsHbMxHw4YNRSkljz/+uHg8HpkzZ47UqlVLH6uUkoYNG8qcOXMK7atGbmZjRo4dO6Y38n/11Ve9jsl5l4fNG/m7LR9t2rTRTds//vgjz+u3b9+W6OhoUUpJjRo18mwRQI0aGNvy4RQ1ahab80GNag8agAhIenq6vgh069Yt3/ERERGilJLWrVsXyvkLs/i+cOGCLpqefvppn+OOHz+uz5nfbfEpKSl6bN++fQu0PjeyMR9O3L17Vz9NKywsTH7//fcCzedWtuejS5cuopSSfv365fp1iqssNubD4/HoTby7d+8uPXr0yNX4e/inY8eO1u7tJmJnRrLNnz9fZ+WZZ56RVatWyZ49e2Tjxo0yevRoCQsLE6WUPPfcc0E/mdLt3JiP48eP6yd1RkVFycyZMyU+Pl4SEhJk4cKF+j/vFSpUkJ07d3o9nhrVGRvz4QQ1ahbb80GNag8agAjI33//rS8Cvj6Fzin70eGFteFwYRbfU6ZM0XPFxsb6HJdzQ9ixY8f6nTMtLU2P7d69e4HW50Y25sOJESNG6LlGjRpVoLnczOZ8fP3116KUkjJlyuTZo4niKouN+ch5F0F4eLgopaRatWqycuVKuXHjhqSlpckvv/wirVq1Cuj3xlQ2ZiSn3bt3S69evbw2h2vVqiVfffWV36+tmc6t+UhJSZHJkydLqVKl8vy5FitWTMaMGSMXL170eiw1qnM25sMJatQsNueDGtUuNAARkN9++01fBPr375/v+Ox9SWrVqlUo5y/M4rtu3bqilJLixYv73WNpx44d+pwTJkzwO6fH49FjO3fuXKD1uZGN+cjP8uXL9ZoaNGggaWlpBVqXm9maj2vXrkmlSpVEKe9fraG4ymJjPi5dupSrWC9durScPXs2z7i0tDRp2rSpHrdnz54Crc+tbMxIttu3b8uwYcMkMjLSawMwJCREnn32WUlMTCzQutzMrflYunSp3grA20/16tVlxowZXh8SQ43qnI35yA816gO25oMa1T40ABEQt3468rBdu3Y5fh98uuqcjfnwJz4+Xt/VU65cOTl27FjQc5nA1nxkF08tWrQQj8fj83Xbiysb85HzK3lKKfnwww99js25x5u/Db9NZmNGREQuX74sjRo1EqWUlCxZUmJiYuTs2bOSmZkp165dk++//14aN24sSmXdSbpmzZqg1+ZmbszHmDFj9DE9e/aUnTt3yp07dyQ9PV2Sk5Nl4MCB+vU+ffrk+TeEGtU5G/PhDzVqbrbmgxrVPjQAERA37o/gzdChQ/U8GzZs8DuW/VWcszEfvuzdu1dKly4tSmU9TWzXrl1Br8cUNuZj69atolTWE16Tk5O9jqG4ymJjPu7du5erAbh9+3afY9PT0yU0NFSUUtK+ffug1+dmNmZEROTll18WpbLu8tu2bZvXMampqdKgQQP9b85ff/0V9Prcym35WL9+vR7/5ptv+hw3YcIEPW7+/Pm5XqNGdc7GfPhCjZqXjfmgRrUTDUAEzG1PSHpYRkaGlC9fXpTK2jD1n3/+8Ts+NTVVn5MnrOXPtnx4c/ToUalQoYIolXU3Rs6nadnOtnxkb6rcqlUrWblypdefnE8CnTt3rv51G9mWDxHRX71RSnn9+m9OVapUEaWU1KtXL6j1mcC2jFy/fl0//OP555/3Ozbn1/k+//zzoNbndm7KR8+ePfV4fw9eSE9P1/t7NWvWLNdr1KiBsS0f3lCj+mZbPqhR7UQDEAFr3769/sTI32bTiYmJ+oIxceLEQjl3YRTf3333nZ7D6deosvd5yO8/XStWrNBzL168OKj1uZ2N+cjpzJkzUrVqVVFKSWhoqPzwww9BrcNUtuWjY8eOenygPzayLR8iIp06ddLHnDp1yu/Y7GZho0aNglqfCWzLSM6vC+f3Fc+cd4O98847Qa3P7dyUj3r16ulGcH6yHwRUvHjxPK9RozpnYz5yokb1z7Z8UKPaiT89BGzcuHH6L//u3bt9jouJidHjtmzZUijnLoziu0ePHnqOgwcPOjqmX79++piHn46U05AhQ/S4kydPBrU+t7MxH9kuXbok1atXF6WUFClSRL755pug1mAy2/JBcRUY2/IhIjJx4kR9zKZNm3yOu3XrloSEhIhSSrp06RLU+kxgW0b27t2rx48ZM8bv2MOHD+uxI0aMCGp9buemfGTv61ihQoV8xz7xxBOilJJSpUrleY0a1Tkb85GNGjV/tuWDGtVO/OkhYElJSfov/5AhQ7yO8Xg8ei+asmXLSmZmZqGcu6DF99WrV6VYsWKiVP63d+e0evVqfd6YmBivY+7evSvlypUTpZQ0bNgw4LWZwsZ8iIhcuXJFfxqnlJLY2NiAz28DW/PhD/urPGBjPg4dOqTPO3jwYJ/j4uLi9LipU6cGvD5T2JaRlJQU3fht2bKl37Hz5s3T65s5c2bA6zOBm/LRvXt3Pf7XX3/1Oe7atWsSFhYmSilp0qRJntepUZ2zMR8i1KhO2ZoPf6hRzUMDEEHJvkU6NDRUEhMT87w+ffp0fbGYNGlSntfj4+P16wMGDHB83oIW38EWx5mZmVKrVi1RSklkZKScOXMmz5hhw4bpuZcsWRLw2kxiWz5u3LghzZo108fOnj074HPbxLZ85IfiKjcb8/HCCy/o95yQkJDn9T///FOqVasmSikJCwvzu9+PDWzLSJs2bfRxcXFxXsdcuHBB7xEZEhIiJ06cCHh9pnBLPr788ks9vkuXLpKRkZFnjMfjkTfeeEOPGzduXJ4x1KiBsS0f1KiBsS0f+aFGNQ8NQAQlOTlZSpQoIUpl3U786aefyq5du2Tbtm3y9ttv6wtF3bp15fbt23mOd3pxXLJkSa6fnF+dGTt2bK7XvP2n6WEtWrQQpbKedhToE/I2bNigN+KOioqSefPmSVJSkmzevFk/oU8pJe3atQvqwREmsSkf9+7dk7Zt2+rzvv7663LkyBG/P+fOnXM0t6lsyocTFFe52ZiPkydPStmyZUUpJSVLlpSPPvpIEhISZM+ePTJ//nx55JFH9NqmTZsW0Nwmsi0j8fHxUrRoUd3c69+/v6xfv14OHDggO3bskKlTp+pN/ZVSMmjQIMdzm8gt+cjIyJD69evrY5o0aSKxsbGSlJQk+/btk2XLluVq/kZFRUlKSorXtVCjOmdTPqhRA2dTPpygRjUPDUAEbd26dRIZGakvCg//1K1bV06fPu31WKcXR19ze/vJ71OWEydO6LFdu3YN6j3Hxsbq26i9/bRs2TKoi6uJbMnH+fPnA1qHUko6duzoeH5T2ZIPJyiu8rIxHwkJCRIVFeVzDSEhIfLxxx8HNbeJbMvI8uXLJSIiIt919O3b1+udILZxSz4uXLggTZs2zff46OhoOXDggN/3TI3qnC35oEYNji35cIIa1Tw0AFEgFy5ckFGjRkndunWlZMmSUrZsWXnqqadk2rRpcvfuXZ/H/S+K7/Hjx+uxq1atCvIdixw5ckQGDx4sNWvWlOLFi0uFChWkXbt2snDhQr9PjLKRDfmguAqeDflwguLKOxvzcfXqVZk0aZI0bdpUIiMjpXjx4hIdHS0DBw6U5OTkoOc1lW0ZuXTpkkyYMEHatGkj5cuXl9DQUImIiJB69erJgAEDZNu2bUHNayq35CMzM1OWLVsmL774olSrVk3Cw8MlLCxMqlSpIl26dJEFCxbInTt3HL1nalTnbMgHNWrwbMiHE9So5qEBCAAAAAAAABiMBiAAAAAAAABgMBqAAAAAAAAAgMFoAAIAAAAAAAAGowEIAAAAAAAAGIwGIAAAAAAAAGAwGoAAAAAAAACAwWgAAgAAAAAAAAajAQgAAAAAAAAYjAYgAAAAAAAAYDAagAAAAAAAAIDBaAACAAAAAAAABqMBCAAAAAAAABiMBiAAAAAAAABgMBqAAAAAAAAAgMFoAAIAAAAAAAAGowEIAAAAAAAAGIwGIAAAAAAAAGAwGoAAAAAAAACAwWgAAgAAAAAAAAajAQgAAAAAAAAYjAYgAAAAAAAAYDAagAAAAAAAAIDBaAACAAAAAAAABqMBCAAAAAAAABiMBiAAAAAAAABgMBqAAAAAAAAAgMFoAAIAAAAAAAAGowEIAAAAAAAAGIwGIAAAAAAAAGAwGoAAAAAAAACAwWgAAgAAAAAAAAajAQgAAAAAAAAYjAYgAAAAAAAAYDAagAAAAAAAAIDBaAACAAAAAAAABqMBCAAAAAAAABiMBiAAAAAAAABgMBqAAAAAAAAAgMFoAAIAAAAAAAAGowEIAAAAAAAAGIwGIAAAAAAAAGAwGoAAAAAAAACAwWgAAgAAAAAAAAajAQgAAAAAAAAYjAYgAAAAAAAAYDAagAAAAAAAAIDBaAACAAAAAAAABqMBCAAAAAAAABiMBiAAAAAAAABgMBqAAAAAAAAAgMFoAAIAAAAAAAAGowEIAAAAAAAAGIwGIAAAAAAAAGAwGoAAAAAAAACAwWgAAgAAAAAAAAajAQgAAAAAAAAYjAYgAAAAAAAAYDAagAAAAAAAAIDBaAACAAAAAAAABqMBCAAAAAAAABiMBiAAAAAAAABgMBqAAAAAAAAAgMFoAAIAAAAAAAAG+z/LE5YhdIY8BwAAAABJRU5ErkJggg==\" width=\"640\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x1c2c7dbf98>]"
+      ]
+     },
+     "execution_count": 203,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "plt.plot(test[1], test[0])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/Controllers/QueueControl.py b/Controllers/QueueControl.py
index 3ce61b1..eefeef2 100644
--- a/Controllers/QueueControl.py
+++ b/Controllers/QueueControl.py
@@ -4,6 +4,7 @@
 from PyPulse import PulseInterface
 import scipy.io as sio
 import numpy as np
+from datetime import datetime
 
 
 class QueueWorker(QtCore.QObject):
@@ -29,23 +30,40 @@ def trial(self):
                 hardware_params = self.get_hardware_params()
                 global_params = self.get_global_params()
                 export_params = self.get_export_params()
-
+                invert_valves = []
+                if global_params['inverted_blank_off_state']:
+                    invert_valves = global_params['inverted_blank_valves']
                 pulses, t = PulseInterface.make_pulse(hardware_params['samp_rate'],
                                                       global_params['global_onset'],
                                                       global_params['global_offset'],
-                                                      trial_params)
+                                                      trial_params, invert_chan_list=invert_valves)
 
+                if hardware_params['control_carrier']:
+                    while len(pulses) < hardware_params['digital_channels']:
+                        pulses = np.append(pulses, np.zeros((1, pulses.shape[1])), axis=0)
+                    carrier_control = np.append(np.ones(pulses.shape[1]-0), np.zeros(0))
+                    pulses = np.append(pulses, carrier_control[np.newaxis], axis=0)
                 # in standard configuration we want to run each trial sequentially
                 if not self.parent.trigger_state():
-                    self.trial_daq = daq.DoAiMultiTask(hardware_params['analog_dev'], hardware_params['analog_channels'],
-                                                       hardware_params['digital_dev'], hardware_params['samp_rate'],
-                                                       len(t) / hardware_params['samp_rate'], pulses,
-                                                       hardware_params['sync_clock'])
-
-                    self.analog_data = self.trial_daq.DoTask()
+                    if hardware_params['analog_channels'] > 0:
+                        self.trial_daq = daq.DoAiMultiTask(hardware_params['analog_dev'], hardware_params['analog_channels'],
+                                                           hardware_params['digital_dev'], hardware_params['samp_rate'],
+                                                           len(t) / hardware_params['samp_rate'], pulses,
+                                                           hardware_params['sync_clock'])
+
+                        self.analog_data = self.trial_daq.DoTask()
+                    else:
+                        self.trial_daq = daq.DoCoTask(hardware_params['digital_dev'], '', hardware_params['samp_rate'],
+                                                      len(t) / hardware_params['samp_rate'], pulses)
+                        self.trial_daq.DoTask()
+                        # close_valves= daq.DoCoTask(hardware_params['digital_dev'], '', hardware_params['samp_rate'],
+                        #                               len(t) / hardware_params['samp_rate'], np.zeros((len(pulses), 10)))
+                        # close_valves.DoTask()
+                        self.analog_data = []
                 # unless the 'wait for trigger' box is checked, in which case we want to wait for our trigger in
                 else:
-                    self.trial_daq = daq.DoAiTriggeredMultiTask(hardware_params['analog_dev'],
+                    if hardware_params['analog_channels'] > 0 :
+                        self.trial_daq = daq.DoAiTriggeredMultiTask(hardware_params['analog_dev'],
                                                                 hardware_params['analog_channels'],
                                                                 hardware_params['digital_dev'],
                                                                 hardware_params['samp_rate'],
@@ -53,20 +71,45 @@ def trial(self):
                                                                 hardware_params['sync_clock'],
                                                                 hardware_params['trigger_source'])
 
-                    self.analog_data = self.trial_daq.DoTask()
+                        self.analog_data = self.trial_daq.DoTask()
+                    else:
+                        self.trial_daq= daq.DoTriggeredCoTask(hardware_params['digital_dev'], '', hardware_params['samp_rate'], len(t) / hardware_params['samp_rate'],
+                                                              pulses, hardware_params['trigger_source'])
+                        self.trial_daq.DoTask()
+                        self.analog_data = []
 
                 # Save data
-                save_string = export_params['export_path'] + str(self.experiment.current_trial) + \
-                              export_params['export_suffix'] + '.mat'
-                sio.savemat(save_string, {'analog_data': self.analog_data, 'pulses': pulses, 't': t})
+                if export_params['save_pulses']:
+                    save_string = export_params['export_path'] + str(self.experiment.current_trial) + \
+                                  export_params['pulse_suffix'] + '.mat'
+                    sio.savemat(save_string, {'analog_data': self.analog_data, 'pulses': pulses, 't': t})
+
 
                 if self.experiment.total_trials() - self.experiment.current_trial == 1:
-                    self.parent.should_run = False
                     self.experiment.reset_trials()
-
-                if self.parent.should_run:
+                    if export_params['save_names']:
+                        names = [i[-1] for i in self.experiment.arraydata]
+                        date = datetime.today().strftime('%Y-%m-%d')
+                        time = datetime.today().strftime('%H:%M:%S')
+                        f = open(export_params['export_path']+date+export_params['trial_suffix']+'.txt', 'a')
+                        f.write(time)
+                        f.write('\n')
+                        f.write('\n'.join(names))
+                        f.write('\n')
+                        f.close()
+                    self.parent.repeats_done += 1
+                    print('repeats done ', self.parent.repeats_done)
+                    if self.parent.repeats_done == global_params['repeats']:
+                        self.parent.should_run = False
+                        self.parent.repeats_done = 0
+                    else:
+                        if global_params['shuffle_repeats']:
+                            self.experiment.randomise_trials(global_params)
+
+                elif self.parent.should_run:
                     self.experiment.advance_trial()
 
+
                 self.finished.emit()
 
 
@@ -80,6 +123,7 @@ def __init__(self, experiment, get_global_params, get_hardware_params, get_expor
         self.get_hardware_params = get_hardware_params
         self.get_export_params = get_export_params
         self.prepare_thread()
+        self.repeats_done = 0
 
         self.should_run = False
         self.trigger_control = trigger_control
@@ -95,6 +139,7 @@ def prepare_thread(self):
         self.thread.start()
 
     def start(self):
+
         if not self.should_run:
             self.should_run = True
 
@@ -108,6 +153,8 @@ def stop(self):
             self.should_run = False
 
         self.experiment.reset_trials()
+        self.repeats_done = 0
+
 
     def run_selected(self, trial):
         if not self.should_run:
@@ -116,9 +163,14 @@ def run_selected(self, trial):
             sleep(0.05)
             self.should_run = False
 
+    def run_from_selected(self, trial):
+        if not self.should_run:
+            self.should_run = True
+            self.experiment.current_trial = trial
+
+
     def finished(self):
         print("not implemented")
 
     def trigger_state(self):
         return self.trigger_control.isChecked()
-
diff --git a/Controllers/main.py b/Controllers/main.py
index d54a52d..9607c1d 100644
--- a/Controllers/main.py
+++ b/Controllers/main.py
@@ -1,15 +1,23 @@
 import sys
+sys.path.append('C:\\Users\\warnert\\Documents\\GitHub')
+sys.path.append('C:\\Users\\warnert\\Documents\\GitHub\\PulseBoy_updated\\PulseBoy')
+sys.path.append('C:\\Users\\warnert\\Documents\\GitHub\\PulseBoy')
 
 from PyPulse import PulseInterface
 import numpy as np
 from PyQt5 import QtWidgets
-
 import Models.Experiment as Experiment
 from Controllers import QueueControl, QueueControl
+from multiprocessing import Queue, Process, Manager
 from Designs import mainDesign
 from Models import PBWidgets
+try:
+    from vipulse import StreamNSave
+except ImportError:
+    print('No camera!')
 import pickle as pickle
 import os.path
+import daqface.DAQ as daq
 
 
 # noinspection PyBroadException
@@ -44,6 +52,7 @@ def __init__(self):
         self.removeTrialButton.clicked.connect(self.remove_trial)
         self.moveUpButton.clicked.connect(self.move_trial_up)
         self.moveDownButton.clicked.connect(self.move_trial_down)
+        self.randomiseTrialsButton.clicked.connect(self.randomise_trials)
 
         self.actionSave.triggered.connect(self.save)
         self.actionLoad.triggered.connect(self.load)
@@ -58,21 +67,44 @@ def __init__(self):
         self.stopQueueButton.clicked.connect(self.queue_controller.stop)
         self.pauseQueueButton.clicked.connect(self.queue_controller.pause)
         self.runSelectedButton.clicked.connect(lambda x: self.queue_controller.run_selected(self.trialBankTable.selectionModel().selectedRows()[0].row()))
+        self.startQueueFromSelectedButton.clicked.connect(lambda x: self.queue_controller.run_from_selected(self.trialBankTable.selectionModel().selectedRows()[0].row()))
+
+        ## Camera code
+        camera_params = Manager().dict()
+        self.cameraParams = camera_params
+        self.launchCameraButton.clicked.connect(self.startStream)
+
+        self.get_camera_params()
+        self.closeCamerasButton.clicked.connect(self.terminateCameraStream)
+        self.updateCamerasButton.clicked.connect(self.get_camera_params)
+        self.closeValvesButton.clicked.connect(self.reset_all_chans)
+
+        ## Saving pulses
+        self.savePulseButton.clicked.connect(self.save_all_pulses)
+
 
     def add_valve(self, v_type='Simple', params=None):
+        position = len(self.valveBankContents.children()) - 1
         if v_type == 'Simple':
-            new_valve = PBWidgets.SimpleValveWidget(self.valveBankContents)
+            new_valve = PBWidgets.SimpleValveWidget(self.valveBankContents, position)
         elif v_type == 'Noise':
-            new_valve = PBWidgets.NoiseValveWidget(self.valveBankContents)
+            new_valve = PBWidgets.NoiseValveWidget(self.valveBankContents, position)
         elif v_type == 'Plume':
-            new_valve = PBWidgets.PlumeValveWidget(self.valveBankContents)
+            new_valve = PBWidgets.PlumeValveWidget(self.valveBankContents, position)
+        elif v_type == 'Anti Plume':
+            new_valve = PBWidgets.AntiPlumeValveWidget(self.valveBankContents, position)
+        elif v_type == 'Binary':
+            new_valve = PBWidgets.BinaryPlumeValveWidget(self.valveBankContents, position)
         else:
-            new_valve = PBWidgets.SimpleValveWidget(self.valveBankContents)
+            new_valve = PBWidgets.SimpleValveWidget(self.valveBankContents, position)
 
         if params is not None:
             new_valve.set_parameters(params)
         self.valveBankContents.layout().addWidget(new_valve)
 
+    def reset_all_chans(self):
+        daq.closeValves(self.get_hardware_params()['digital_dev'])
+
     def add_trial(self):
         n_valves = 0
         all_params = list()
@@ -120,6 +152,10 @@ def move_trial_down(self):
         if idx < len(self.trialBankModel.arraydata):
             self.select_trial(idx + 1)
 
+    def randomise_trials(self):
+        glob_params = self.get_global_params()
+        self.trialBankModel.randomise_trials(glob_params)
+
     def trial_selected(self):
         try:
             selected_trial = self.trialBankTable.selectionModel().selectedRows()[0].row()
@@ -127,10 +163,16 @@ def trial_selected(self):
             selected_trial = 0
 
         trial_params = self.trialBankModel.arraydata[selected_trial][1]
-
+        invert_valves = []
+        if self.invertBlankcheckBox.isChecked():
+            try:
+                invert_valves = [int(i) for i in self.blankValveEdit.text().split(',')]
+            except ValueError:
+                print('Unable to invert channels, did not understand input "%s' % self.blankValveEdit.text())
+        
         pulses, t = PulseInterface.make_pulse(float(self.sampRateEdit.text()),
                                               float(self.globalOnsetEdit.text()),
-                                              float(self.globalOffsetEdit.text()), trial_params)
+                                              float(self.globalOffsetEdit.text()), trial_params, invert_chan_list=invert_valves)
 
         self.graphicsView.plotItem.clear()
         for p, pulse in enumerate(pulses):
@@ -211,6 +253,8 @@ def get_hardware_params(self):
         params['sync_clock'] = self.syncClockEdit.text()
         params['samp_rate'] = float(self.sampRateEdit.text())
         params['trigger_source'] = self.triggerInEdit.text()
+        params['control_carrier'] = self.carrierControlBox.isChecked()
+#        params['carrier_chan'] = int(self.carrierDeviceEdit.text())
 
         return params
 
@@ -218,19 +262,76 @@ def get_global_params(self):
         params = dict()
         params['global_onset'] = float(self.globalOnsetEdit.text())
         params['global_offset'] = float(self.globalOffsetEdit.text())
+        params['repeats'] = float(self.repeatsBox.text())
+        #params['repeats_done'] = 0
+        params['shuffle_repeats'] = bool(self.shuffleRepeatsBox.isChecked())
+        params['inverted_blank_off_state'] = bool(self.invertBlankcheckBox.isChecked())
+        if params['inverted_blank_off_state']:
+            params['inverted_blank_valves'] = [int(i) for i in self.blankValveEdit.text().split(',')]
+        else:
+            params['inverted_blank_valves'] = None
 
+        params['shuffle_offset'] = int(self.shuffleOffsetlineEdit.text())
+        params['shuffle_group_size'] = int(self.shuffleGrouplineEdit.text())
+        params['shuffle_back_offset'] = int(self.shuffleBackOffsetlineEdit.text())
         return params
 
     def get_export_params(self):
         params = dict()
+        params['save_names'] = bool(self.trialNameCheckBox.isChecked())
+        params['save_pulses'] = bool(self.pulseCheckBox.isChecked())
         params['export_path'] = str(self.exportPathEdit.text())
-        params['export_suffix'] = str(self.exportSuffixEdit.text())
+        params['pulse_suffix'] = str(self.pulseSuffixEdit.text())
+        params['trial_suffix'] = str(self.trialNameSuffixEdit.text())
 
         return params
 
     def set_export_path(self):
         path = QtWidgets.QFileDialog.getExistingDirectory(self, "Choose Export Path")
         self.exportPathEdit.setText(path + '/')
+    
+
+    def startStream(self):
+        self.get_camera_params()
+        self.cameraParams['runStream'] = True
+        self.cameraProcess = Process(target=StreamNSave.stream_and_save, 
+                                     args=(self.cameraParams,))
+        self.cameraProcess.daemon = True
+        self.cameraProcess.start()
+    def terminateCameraStream(self):
+        self.cameraParams['runStream'] = False
+        #self.cameraProcess.terminate()
+
+    def get_camera_params(self):
+        self.cameraParams['saveStream'] = bool(self.saveCameraVideocheckBox.isChecked())
+        self.cameraParams['showStream'] = bool(self.showStreamcheckBox.isChecked())
+        self.cameraParams['outDir'] = str(self.exportPathEdit.text())
+        self.cameraParams['cams'] = int(self.numberCamerasEdit.text())
+        self.cameraParams['cameraSuffix'] = str(self.cameraSuffixEdit.text())
+        self.cameraParams['inter_stream_interval'] = float(self.cameraSaveIntervalEdit.text())
+        self.cameraParams['recording_ind'] = bool(self.cameraSaveIconBox.isChecked())
+
+    def save_all_pulses(self):
+        global_params = self.get_global_params()
+        hardware_params = self.get_hardware_params()
+        export_params = self.get_export_params()
+        invert_valves = []
+        all_pulses = {}
+        for trial_params in self.trialBankModel.arraydata:
+            pulses, t = PulseInterface.make_pulse(hardware_params['samp_rate'],
+                                                      global_params['global_onset'],
+                                                      global_params['global_offset'],
+                                                      trial_params[1])
+            save_string = export_params['export_path'] + trial_params[-1] + '_'+export_params['pulse_suffix'] + '.npy'
+            np.save(save_string, pulses)
+            all_pulses[trial_params[-1]] = pulses
+        save_string = export_params['export_path'] + export_params['pulse_suffix'] + '.pkl'
+        #pickle.dump(all_pulses, open(save_string, 'wb'), protocol=pickle.HIGHEST_PROTOCOL)
+        
+
+
+
+
 
 # Back up the reference to the exceptionhook
 sys._excepthook = sys.excepthook
diff --git a/Designs/binaryValveDesign.py b/Designs/binaryValveDesign.py
new file mode 100644
index 0000000..a470d54
--- /dev/null
+++ b/Designs/binaryValveDesign.py
@@ -0,0 +1,106 @@
+# -*- coding: utf-8 -*-
+
+# Form implementation generated from reading ui file 'BinaryValveWidget.ui'
+#
+# Created by: PyQt5 UI code generator 5.9
+#
+# WARNING! All changes made in this file will be lost!
+
+from PyQt5 import QtCore, QtGui, QtWidgets
+
+class Ui_Form(object):
+    def setupUi(self, Form):
+        Form.setObjectName("Form")
+        Form.resize(905, 113)
+        sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Preferred, QtWidgets.QSizePolicy.Preferred)
+        sizePolicy.setHorizontalStretch(0)
+        sizePolicy.setVerticalStretch(0)
+        sizePolicy.setHeightForWidth(Form.sizePolicy().hasHeightForWidth())
+        Form.setSizePolicy(sizePolicy)
+        font = QtGui.QFont()
+        font.setFamily("Lucida Console")
+        Form.setFont(font)
+        self.gridLayout = QtWidgets.QGridLayout(Form)
+        self.gridLayout.setObjectName("gridLayout")
+        self.label_2 = QtWidgets.QLabel(Form)
+        self.label_2.setObjectName("label_2")
+        self.gridLayout.addWidget(self.label_2, 2, 1, 1, 1)
+        self.binsizeEdit = QtWidgets.QLineEdit(Form)
+        self.binsizeEdit.setObjectName("binsizeEdit")
+        self.gridLayout.addWidget(self.binsizeEdit, 3, 3, 1, 1)
+        self.shatterBox = QtWidgets.QCheckBox(Form)
+        self.shatterBox.setChecked(True)
+        self.shatterBox.setObjectName("shatterBox")
+        self.gridLayout.addWidget(self.shatterBox, 1, 6, 1, 1)
+        self.label_5 = QtWidgets.QLabel(Form)
+        self.label_5.setObjectName("label_5")
+        self.gridLayout.addWidget(self.label_5, 2, 3, 1, 1)
+        self.numofbinsEdit = QtWidgets.QLineEdit(Form)
+        self.numofbinsEdit.setObjectName("numofbinsEdit")
+        self.gridLayout.addWidget(self.numofbinsEdit, 1, 3, 1, 1)
+        self.label_4 = QtWidgets.QLabel(Form)
+        self.label_4.setObjectName("label_4")
+        self.gridLayout.addWidget(self.label_4, 0, 3, 1, 1)
+        self.position = QtWidgets.QLabel(Form)
+        self.position.setObjectName("position")
+        self.gridLayout.addWidget(self.position, 0, 0, 1, 1)
+        self.valuetobinariseEdit = QtWidgets.QLineEdit(Form)
+        self.valuetobinariseEdit.setObjectName("valuetobinariseEdit")
+        self.gridLayout.addWidget(self.valuetobinariseEdit, 1, 5, 1, 1)
+        self.onsetEdit = QtWidgets.QLineEdit(Form)
+        self.onsetEdit.setObjectName("onsetEdit")
+        self.gridLayout.addWidget(self.onsetEdit, 1, 1, 1, 1)
+        self.offsetEdit = QtWidgets.QLineEdit(Form)
+        self.offsetEdit.setObjectName("offsetEdit")
+        self.gridLayout.addWidget(self.offsetEdit, 3, 1, 1, 1)
+        self.removeButton = QtWidgets.QToolButton(Form)
+        self.removeButton.setObjectName("removeButton")
+        self.gridLayout.addWidget(self.removeButton, 1, 0, 1, 1)
+        self.shatterEdit = QtWidgets.QLineEdit(Form)
+        self.shatterEdit.setObjectName("shatterEdit")
+        self.gridLayout.addWidget(self.shatterEdit, 1, 7, 1, 1)
+        self.label_3 = QtWidgets.QLabel(Form)
+        self.label_3.setObjectName("label_3")
+        self.gridLayout.addWidget(self.label_3, 0, 5, 1, 1)
+        self.label = QtWidgets.QLabel(Form)
+        self.label.setObjectName("label")
+        self.gridLayout.addWidget(self.label, 0, 1, 1, 1)
+        self.label_6 = QtWidgets.QLabel(Form)
+        self.label_6.setObjectName("label_6")
+        self.gridLayout.addWidget(self.label_6, 0, 7, 1, 1)
+        self.line_2 = QtWidgets.QFrame(Form)
+        self.line_2.setFrameShape(QtWidgets.QFrame.HLine)
+        self.line_2.setFrameShadow(QtWidgets.QFrame.Sunken)
+        self.line_2.setObjectName("line_2")
+        self.gridLayout.addWidget(self.line_2, 4, 1, 1, 7)
+        self.shatterDutyEdit = QtWidgets.QLineEdit(Form)
+        self.shatterDutyEdit.setObjectName("shatterDutyEdit")
+        self.gridLayout.addWidget(self.shatterDutyEdit, 3, 7, 1, 1)
+        self.label_7 = QtWidgets.QLabel(Form)
+        self.label_7.setObjectName("label_7")
+        self.gridLayout.addWidget(self.label_7, 2, 7, 1, 1)
+
+        self.retranslateUi(Form)
+        QtCore.QMetaObject.connectSlotsByName(Form)
+
+    def retranslateUi(self, Form):
+        _translate = QtCore.QCoreApplication.translate
+        Form.setWindowTitle(_translate("Form", "Form"))
+        self.label_2.setText(_translate("Form", "Offset"))
+        self.binsizeEdit.setText(_translate("Form", "0.05"))
+        self.shatterBox.setText(_translate("Form", "Shatter Pulse"))
+        self.label_5.setText(_translate("Form", "Bin size"))
+        self.numofbinsEdit.setText(_translate("Form", "8"))
+        self.label_4.setText(_translate("Form", "Number of bins"))
+        self.position.setText(_translate("Form", "1"))
+        self.valuetobinariseEdit.setText(_translate("Form", "2"))
+        self.onsetEdit.setText(_translate("Form", "0.1"))
+        self.offsetEdit.setText(_translate("Form", "0.1"))
+        self.removeButton.setText(_translate("Form", "-"))
+        self.shatterEdit.setText(_translate("Form", "500"))
+        self.label_3.setText(_translate("Form", "Value to binarise"))
+        self.label.setText(_translate("Form", "Onset"))
+        self.label_6.setText(_translate("Form", "Shatter (Hz)"))
+        self.shatterDutyEdit.setText(_translate("Form", "0.5"))
+        self.label_7.setText(_translate("Form", "Shatter Duty"))
+
diff --git a/Designs/mainDesign.py b/Designs/mainDesign.py
index ea5d4b5..f4ebf47 100644
--- a/Designs/mainDesign.py
+++ b/Designs/mainDesign.py
@@ -1,8 +1,8 @@
 # -*- coding: utf-8 -*-
 
-# Form implementation generated from reading ui file 'UI/PulseBoyUI.ui'
+# Form implementation generated from reading ui file 'PulseBoyUI_v2.ui'
 #
-# Created by: PyQt5 UI code generator 5.5.1
+# Created by: PyQt5 UI code generator 5.9
 #
 # WARNING! All changes made in this file will be lost!
 
@@ -11,25 +11,16 @@
 class Ui_MainWindow(object):
     def setupUi(self, MainWindow):
         MainWindow.setObjectName("MainWindow")
-        MainWindow.resize(1229, 856)
+        MainWindow.resize(1229, 809)
         self.centralwidget = QtWidgets.QWidget(MainWindow)
         self.centralwidget.setObjectName("centralwidget")
         self.gridLayout = QtWidgets.QGridLayout(self.centralwidget)
         self.gridLayout.setObjectName("gridLayout")
-        self.label = QtWidgets.QLabel(self.centralwidget)
-        font = QtGui.QFont()
-        font.setFamily("Lucida Console")
-        font.setPointSize(12)
-        font.setBold(True)
-        font.setWeight(75)
-        self.label.setFont(font)
-        self.label.setObjectName("label")
-        self.gridLayout.addWidget(self.label, 0, 0, 1, 1)
         self.valveBankScrollArea = QtWidgets.QScrollArea(self.centralwidget)
         self.valveBankScrollArea.setWidgetResizable(True)
         self.valveBankScrollArea.setObjectName("valveBankScrollArea")
         self.valveBankContents = QtWidgets.QWidget()
-        self.valveBankContents.setGeometry(QtCore.QRect(0, 0, 18, 372))
+        self.valveBankContents.setGeometry(QtCore.QRect(0, 0, 18, 348))
         sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Maximum, QtWidgets.QSizePolicy.Minimum)
         sizePolicy.setHorizontalStretch(0)
         sizePolicy.setVerticalStretch(0)
@@ -38,23 +29,19 @@ def setupUi(self, MainWindow):
         self.valveBankContents.setObjectName("valveBankContents")
         self.valveBankLayout = QtWidgets.QVBoxLayout(self.valveBankContents)
         self.valveBankLayout.setSizeConstraint(QtWidgets.QLayout.SetFixedSize)
+        self.valveBankLayout.setContentsMargins(0, 0, 0, 0)
         self.valveBankLayout.setObjectName("valveBankLayout")
         self.valveBankScrollArea.setWidget(self.valveBankContents)
         self.gridLayout.addWidget(self.valveBankScrollArea, 1, 0, 1, 1)
-        self.trialBankTable = QtWidgets.QTableView(self.centralwidget)
-        sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
-        sizePolicy.setHorizontalStretch(0)
-        sizePolicy.setVerticalStretch(0)
-        sizePolicy.setHeightForWidth(self.trialBankTable.sizePolicy().hasHeightForWidth())
-        self.trialBankTable.setSizePolicy(sizePolicy)
+        self.label = QtWidgets.QLabel(self.centralwidget)
         font = QtGui.QFont()
         font.setFamily("Lucida Console")
-        self.trialBankTable.setFont(font)
-        self.trialBankTable.setContextMenuPolicy(QtCore.Qt.DefaultContextMenu)
-        self.trialBankTable.setSelectionBehavior(QtWidgets.QAbstractItemView.SelectRows)
-        self.trialBankTable.setObjectName("trialBankTable")
-        self.trialBankTable.horizontalHeader().setStretchLastSection(False)
-        self.gridLayout.addWidget(self.trialBankTable, 3, 0, 1, 1)
+        font.setPointSize(12)
+        font.setBold(True)
+        font.setWeight(75)
+        self.label.setFont(font)
+        self.label.setObjectName("label")
+        self.gridLayout.addWidget(self.label, 0, 0, 1, 1)
         self.label_8 = QtWidgets.QLabel(self.centralwidget)
         font = QtGui.QFont()
         font.setFamily("Lucida Console")
@@ -64,6 +51,35 @@ def setupUi(self, MainWindow):
         self.label_8.setFont(font)
         self.label_8.setObjectName("label_8")
         self.gridLayout.addWidget(self.label_8, 2, 0, 1, 1)
+        self.viewWidgetTab = QtWidgets.QTabWidget(self.centralwidget)
+        self.viewWidgetTab.setObjectName("viewWidgetTab")
+        self.pulseTab = QtWidgets.QWidget()
+        self.pulseTab.setObjectName("pulseTab")
+        self.gridLayout_5 = QtWidgets.QGridLayout(self.pulseTab)
+        self.gridLayout_5.setObjectName("gridLayout_5")
+        self.graphicsView = PlotWidget(self.pulseTab)
+        sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Expanding)
+        sizePolicy.setHorizontalStretch(0)
+        sizePolicy.setVerticalStretch(0)
+        sizePolicy.setHeightForWidth(self.graphicsView.sizePolicy().hasHeightForWidth())
+        self.graphicsView.setSizePolicy(sizePolicy)
+        self.graphicsView.setObjectName("graphicsView")
+        self.gridLayout_5.addWidget(self.graphicsView, 0, 0, 1, 1)
+        self.viewWidgetTab.addTab(self.pulseTab, "")
+        self.analogDataTab = QtWidgets.QWidget()
+        self.analogDataTab.setObjectName("analogDataTab")
+        self.gridLayout_6 = QtWidgets.QGridLayout(self.analogDataTab)
+        self.gridLayout_6.setObjectName("gridLayout_6")
+        self.analogView = PlotWidget(self.analogDataTab)
+        sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Expanding)
+        sizePolicy.setHorizontalStretch(0)
+        sizePolicy.setVerticalStretch(0)
+        sizePolicy.setHeightForWidth(self.analogView.sizePolicy().hasHeightForWidth())
+        self.analogView.setSizePolicy(sizePolicy)
+        self.analogView.setObjectName("analogView")
+        self.gridLayout_6.addWidget(self.analogView, 0, 0, 1, 1)
+        self.viewWidgetTab.addTab(self.analogDataTab, "")
+        self.gridLayout.addWidget(self.viewWidgetTab, 3, 2, 1, 1)
         self.setupTabs = QtWidgets.QTabWidget(self.centralwidget)
         sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
         sizePolicy.setHorizontalStretch(0)
@@ -79,27 +95,18 @@ def setupUi(self, MainWindow):
         self.hardwareTab.setObjectName("hardwareTab")
         self.gridLayout_2 = QtWidgets.QGridLayout(self.hardwareTab)
         self.gridLayout_2.setObjectName("gridLayout_2")
-        self.digitalChannelsEdit = QtWidgets.QLineEdit(self.hardwareTab)
-        self.digitalChannelsEdit.setObjectName("digitalChannelsEdit")
-        self.gridLayout_2.addWidget(self.digitalChannelsEdit, 1, 1, 1, 1)
-        self.label_9 = QtWidgets.QLabel(self.hardwareTab)
-        self.label_9.setObjectName("label_9")
-        self.gridLayout_2.addWidget(self.label_9, 9, 0, 1, 1)
-        self.label_2 = QtWidgets.QLabel(self.hardwareTab)
-        self.label_2.setObjectName("label_2")
-        self.gridLayout_2.addWidget(self.label_2, 0, 0, 1, 1)
-        self.label_4 = QtWidgets.QLabel(self.hardwareTab)
-        self.label_4.setObjectName("label_4")
-        self.gridLayout_2.addWidget(self.label_4, 0, 1, 1, 1)
+        self.label_22 = QtWidgets.QLabel(self.hardwareTab)
+        self.label_22.setObjectName("label_22")
+        self.gridLayout_2.addWidget(self.label_22, 9, 1, 1, 1)
+        self.carrierControlBox = QtWidgets.QCheckBox(self.hardwareTab)
+        self.carrierControlBox.setObjectName("carrierControlBox")
+        self.gridLayout_2.addWidget(self.carrierControlBox, 10, 0, 1, 1)
         self.digitalOutDevEdit = QtWidgets.QLineEdit(self.hardwareTab)
         self.digitalOutDevEdit.setObjectName("digitalOutDevEdit")
         self.gridLayout_2.addWidget(self.digitalOutDevEdit, 1, 0, 1, 1)
-        self.label_3 = QtWidgets.QLabel(self.hardwareTab)
-        self.label_3.setObjectName("label_3")
-        self.gridLayout_2.addWidget(self.label_3, 2, 0, 1, 1)
-        self.analogChannelsLabel = QtWidgets.QLabel(self.hardwareTab)
-        self.analogChannelsLabel.setObjectName("analogChannelsLabel")
-        self.gridLayout_2.addWidget(self.analogChannelsLabel, 2, 1, 1, 1)
+        self.digitalChannelsEdit = QtWidgets.QLineEdit(self.hardwareTab)
+        self.digitalChannelsEdit.setObjectName("digitalChannelsEdit")
+        self.gridLayout_2.addWidget(self.digitalChannelsEdit, 1, 1, 1, 1)
         self.analogInDevEdit = QtWidgets.QLineEdit(self.hardwareTab)
         self.analogInDevEdit.setObjectName("analogInDevEdit")
         self.gridLayout_2.addWidget(self.analogInDevEdit, 3, 0, 1, 1)
@@ -109,31 +116,58 @@ def setupUi(self, MainWindow):
         self.label_5 = QtWidgets.QLabel(self.hardwareTab)
         self.label_5.setObjectName("label_5")
         self.gridLayout_2.addWidget(self.label_5, 6, 0, 1, 1)
-        self.sampRateEdit = QtWidgets.QLineEdit(self.hardwareTab)
-        self.sampRateEdit.setObjectName("sampRateEdit")
-        self.gridLayout_2.addWidget(self.sampRateEdit, 7, 0, 1, 1)
-        spacerItem = QtWidgets.QSpacerItem(20, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
-        self.gridLayout_2.addItem(spacerItem, 8, 0, 1, 1)
         self.label_11 = QtWidgets.QLabel(self.hardwareTab)
         self.label_11.setObjectName("label_11")
         self.gridLayout_2.addWidget(self.label_11, 4, 0, 1, 1)
-        self.triggerInEdit = QtWidgets.QLineEdit(self.hardwareTab)
-        self.triggerInEdit.setObjectName("triggerInEdit")
-        self.gridLayout_2.addWidget(self.triggerInEdit, 10, 0, 1, 1)
         self.syncClockEdit = QtWidgets.QLineEdit(self.hardwareTab)
         self.syncClockEdit.setObjectName("syncClockEdit")
         self.gridLayout_2.addWidget(self.syncClockEdit, 5, 0, 1, 1)
+        self.label_4 = QtWidgets.QLabel(self.hardwareTab)
+        self.label_4.setObjectName("label_4")
+        self.gridLayout_2.addWidget(self.label_4, 0, 1, 1, 1)
+        self.sampRateEdit = QtWidgets.QLineEdit(self.hardwareTab)
+        self.sampRateEdit.setObjectName("sampRateEdit")
+        self.gridLayout_2.addWidget(self.sampRateEdit, 7, 0, 1, 1)
+        self.analogChannelsLabel = QtWidgets.QLabel(self.hardwareTab)
+        self.analogChannelsLabel.setObjectName("analogChannelsLabel")
+        self.gridLayout_2.addWidget(self.analogChannelsLabel, 2, 1, 1, 1)
+        self.label_9 = QtWidgets.QLabel(self.hardwareTab)
+        self.label_9.setObjectName("label_9")
+        self.gridLayout_2.addWidget(self.label_9, 4, 1, 1, 1)
+        self.label_2 = QtWidgets.QLabel(self.hardwareTab)
+        self.label_2.setObjectName("label_2")
+        self.gridLayout_2.addWidget(self.label_2, 0, 0, 1, 1)
+        self.triggerInEdit = QtWidgets.QLineEdit(self.hardwareTab)
+        self.triggerInEdit.setObjectName("triggerInEdit")
+        self.gridLayout_2.addWidget(self.triggerInEdit, 5, 1, 1, 1)
+        self.label_3 = QtWidgets.QLabel(self.hardwareTab)
+        self.label_3.setObjectName("label_3")
+        self.gridLayout_2.addWidget(self.label_3, 2, 0, 1, 1)
+        self.carrierDeviceEdit = QtWidgets.QLineEdit(self.hardwareTab)
+        self.carrierDeviceEdit.setObjectName("carrierDeviceEdit")
+        self.gridLayout_2.addWidget(self.carrierDeviceEdit, 10, 1, 1, 1)
+        spacerItem = QtWidgets.QSpacerItem(20, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
+        self.gridLayout_2.addItem(spacerItem, 8, 0, 1, 1)
         self.setupTabs.addTab(self.hardwareTab, "")
         self.globalParametersTab = QtWidgets.QWidget()
         self.globalParametersTab.setObjectName("globalParametersTab")
         self.gridLayout_3 = QtWidgets.QGridLayout(self.globalParametersTab)
         self.gridLayout_3.setObjectName("gridLayout_3")
-        self.label_6 = QtWidgets.QLabel(self.globalParametersTab)
-        self.label_6.setObjectName("label_6")
-        self.gridLayout_3.addWidget(self.label_6, 0, 0, 1, 1)
-        self.globalOnsetEdit = QtWidgets.QLineEdit(self.globalParametersTab)
-        self.globalOnsetEdit.setObjectName("globalOnsetEdit")
-        self.gridLayout_3.addWidget(self.globalOnsetEdit, 1, 0, 1, 1)
+        self.shuffleOffsetlineEdit = QtWidgets.QLineEdit(self.globalParametersTab)
+        self.shuffleOffsetlineEdit.setObjectName("shuffleOffsetlineEdit")
+        self.gridLayout_3.addWidget(self.shuffleOffsetlineEdit, 6, 0, 1, 1)
+        self.label_16 = QtWidgets.QLabel(self.globalParametersTab)
+        self.label_16.setObjectName("label_16")
+        self.gridLayout_3.addWidget(self.label_16, 2, 1, 1, 1)
+        self.shuffleGrouplineEdit = QtWidgets.QLineEdit(self.globalParametersTab)
+        self.shuffleGrouplineEdit.setObjectName("shuffleGrouplineEdit")
+        self.gridLayout_3.addWidget(self.shuffleGrouplineEdit, 6, 1, 1, 1)
+        self.invertBlankcheckBox = QtWidgets.QCheckBox(self.globalParametersTab)
+        self.invertBlankcheckBox.setObjectName("invertBlankcheckBox")
+        self.gridLayout_3.addWidget(self.invertBlankcheckBox, 3, 0, 1, 1)
+        self.label_21 = QtWidgets.QLabel(self.globalParametersTab)
+        self.label_21.setObjectName("label_21")
+        self.gridLayout_3.addWidget(self.label_21, 5, 0, 1, 1)
         self.label_7 = QtWidgets.QLabel(self.globalParametersTab)
         self.label_7.setObjectName("label_7")
         self.gridLayout_3.addWidget(self.label_7, 0, 1, 1, 1)
@@ -141,114 +175,249 @@ def setupUi(self, MainWindow):
         self.globalOffsetEdit.setObjectName("globalOffsetEdit")
         self.gridLayout_3.addWidget(self.globalOffsetEdit, 1, 1, 1, 1)
         spacerItem1 = QtWidgets.QSpacerItem(20, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
-        self.gridLayout_3.addItem(spacerItem1, 2, 0, 1, 1)
+        self.gridLayout_3.addItem(spacerItem1, 9, 0, 1, 1)
+        self.label_6 = QtWidgets.QLabel(self.globalParametersTab)
+        self.label_6.setObjectName("label_6")
+        self.gridLayout_3.addWidget(self.label_6, 0, 0, 1, 1)
+        self.label_20 = QtWidgets.QLabel(self.globalParametersTab)
+        self.label_20.setObjectName("label_20")
+        self.gridLayout_3.addWidget(self.label_20, 5, 1, 1, 1)
+        self.blankValveEdit = QtWidgets.QLineEdit(self.globalParametersTab)
+        self.blankValveEdit.setObjectName("blankValveEdit")
+        self.gridLayout_3.addWidget(self.blankValveEdit, 3, 1, 1, 1)
+        self.globalOnsetEdit = QtWidgets.QLineEdit(self.globalParametersTab)
+        self.globalOnsetEdit.setObjectName("globalOnsetEdit")
+        self.gridLayout_3.addWidget(self.globalOnsetEdit, 1, 0, 1, 1)
+        spacerItem2 = QtWidgets.QSpacerItem(20, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
+        self.gridLayout_3.addItem(spacerItem2, 4, 0, 1, 1)
+        self.label_23 = QtWidgets.QLabel(self.globalParametersTab)
+        self.label_23.setObjectName("label_23")
+        self.gridLayout_3.addWidget(self.label_23, 7, 0, 1, 1)
+        self.shuffleBackOffsetlineEdit = QtWidgets.QLineEdit(self.globalParametersTab)
+        self.shuffleBackOffsetlineEdit.setObjectName("shuffleBackOffsetlineEdit")
+        self.gridLayout_3.addWidget(self.shuffleBackOffsetlineEdit, 8, 0, 1, 1)
+        spacerItem3 = QtWidgets.QSpacerItem(40, 20, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Minimum)
+        self.gridLayout_3.addItem(spacerItem3, 8, 1, 1, 1)
         self.setupTabs.addTab(self.globalParametersTab, "")
         self.experimentSetupTab = QtWidgets.QWidget()
         self.experimentSetupTab.setObjectName("experimentSetupTab")
         self.gridLayout_4 = QtWidgets.QGridLayout(self.experimentSetupTab)
         self.gridLayout_4.setObjectName("gridLayout_4")
-        self.trialNameEdit = QtWidgets.QLineEdit(self.experimentSetupTab)
-        sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Maximum, QtWidgets.QSizePolicy.Fixed)
-        sizePolicy.setHorizontalStretch(0)
-        sizePolicy.setVerticalStretch(0)
-        sizePolicy.setHeightForWidth(self.trialNameEdit.sizePolicy().hasHeightForWidth())
-        self.trialNameEdit.setSizePolicy(sizePolicy)
-        self.trialNameEdit.setObjectName("trialNameEdit")
-        self.gridLayout_4.addWidget(self.trialNameEdit, 3, 0, 1, 1)
+        self.closeValvesButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.closeValvesButton.setObjectName("closeValvesButton")
+        self.gridLayout_4.addWidget(self.closeValvesButton, 0, 2, 1, 1)
+        self.randomiseTrialsButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.randomiseTrialsButton.setObjectName("randomiseTrialsButton")
+        self.gridLayout_4.addWidget(self.randomiseTrialsButton, 7, 0, 1, 1)
+        self.runSelectedButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.runSelectedButton.setObjectName("runSelectedButton")
+        self.gridLayout_4.addWidget(self.runSelectedButton, 9, 0, 1, 1)
+        self.moveUpButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.moveUpButton.setObjectName("moveUpButton")
+        self.gridLayout_4.addWidget(self.moveUpButton, 3, 1, 1, 1)
+        self.startQueueFromSelectedButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.startQueueFromSelectedButton.setObjectName("startQueueFromSelectedButton")
+        self.gridLayout_4.addWidget(self.startQueueFromSelectedButton, 9, 1, 1, 1)
+        self.horizontalLayout = QtWidgets.QHBoxLayout()
+        self.horizontalLayout.setObjectName("horizontalLayout")
+        self.label_10 = QtWidgets.QLabel(self.experimentSetupTab)
+        self.label_10.setObjectName("label_10")
+        self.horizontalLayout.addWidget(self.label_10)
+        self.repeatsBox = QtWidgets.QSpinBox(self.experimentSetupTab)
+        self.repeatsBox.setMaximum(1000000)
+        self.repeatsBox.setProperty("value", 1)
+        self.repeatsBox.setObjectName("repeatsBox")
+        self.horizontalLayout.addWidget(self.repeatsBox)
+        self.gridLayout_4.addLayout(self.horizontalLayout, 7, 1, 1, 1)
         self.startQueueButton = QtWidgets.QPushButton(self.experimentSetupTab)
         self.startQueueButton.setObjectName("startQueueButton")
-        self.gridLayout_4.addWidget(self.startQueueButton, 5, 0, 1, 1)
+        self.gridLayout_4.addWidget(self.startQueueButton, 8, 0, 1, 1)
+        self.shuffleRepeatsBox = QtWidgets.QCheckBox(self.experimentSetupTab)
+        self.shuffleRepeatsBox.setObjectName("shuffleRepeatsBox")
+        self.gridLayout_4.addWidget(self.shuffleRepeatsBox, 7, 2, 1, 1)
+        self.addValveButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.addValveButton.setObjectName("addValveButton")
+        self.gridLayout_4.addWidget(self.addValveButton, 0, 0, 1, 1)
+        self.triggerWaitCheckBox = QtWidgets.QCheckBox(self.experimentSetupTab)
+        self.triggerWaitCheckBox.setObjectName("triggerWaitCheckBox")
+        self.gridLayout_4.addWidget(self.triggerWaitCheckBox, 9, 2, 1, 1)
         self.valveTypeCombo = QtWidgets.QComboBox(self.experimentSetupTab)
         self.valveTypeCombo.setObjectName("valveTypeCombo")
         self.valveTypeCombo.addItem("")
         self.valveTypeCombo.addItem("")
         self.valveTypeCombo.addItem("")
+        self.valveTypeCombo.addItem("")
+        self.valveTypeCombo.addItem("")
         self.gridLayout_4.addWidget(self.valveTypeCombo, 0, 1, 1, 1)
-        self.addTrialButton = QtWidgets.QPushButton(self.experimentSetupTab)
-        self.addTrialButton.setObjectName("addTrialButton")
-        self.gridLayout_4.addWidget(self.addTrialButton, 2, 0, 1, 1)
-        spacerItem2 = QtWidgets.QSpacerItem(20, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
-        self.gridLayout_4.addItem(spacerItem2, 4, 0, 1, 1)
-        self.addValveButton = QtWidgets.QPushButton(self.experimentSetupTab)
-        self.addValveButton.setObjectName("addValveButton")
-        self.gridLayout_4.addWidget(self.addValveButton, 0, 0, 1, 1)
+        spacerItem4 = QtWidgets.QSpacerItem(20, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
+        self.gridLayout_4.addItem(spacerItem4, 4, 0, 1, 1)
         self.updateTrialButton = QtWidgets.QPushButton(self.experimentSetupTab)
         self.updateTrialButton.setObjectName("updateTrialButton")
         self.gridLayout_4.addWidget(self.updateTrialButton, 2, 1, 1, 1)
+        self.moveDownButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.moveDownButton.setObjectName("moveDownButton")
+        self.gridLayout_4.addWidget(self.moveDownButton, 3, 2, 1, 1)
+        self.trialNameEdit = QtWidgets.QLineEdit(self.experimentSetupTab)
+        sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Maximum, QtWidgets.QSizePolicy.Fixed)
+        sizePolicy.setHorizontalStretch(0)
+        sizePolicy.setVerticalStretch(0)
+        sizePolicy.setHeightForWidth(self.trialNameEdit.sizePolicy().hasHeightForWidth())
+        self.trialNameEdit.setSizePolicy(sizePolicy)
+        self.trialNameEdit.setObjectName("trialNameEdit")
+        self.gridLayout_4.addWidget(self.trialNameEdit, 3, 0, 1, 1)
+        spacerItem5 = QtWidgets.QSpacerItem(20, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
+        self.gridLayout_4.addItem(spacerItem5, 1, 0, 1, 1)
         self.removeTrialButton = QtWidgets.QPushButton(self.experimentSetupTab)
         self.removeTrialButton.setObjectName("removeTrialButton")
         self.gridLayout_4.addWidget(self.removeTrialButton, 2, 2, 1, 1)
-        spacerItem3 = QtWidgets.QSpacerItem(20, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
-        self.gridLayout_4.addItem(spacerItem3, 1, 0, 1, 1)
-        self.runSelectedButton = QtWidgets.QPushButton(self.experimentSetupTab)
-        self.runSelectedButton.setObjectName("runSelectedButton")
-        self.gridLayout_4.addWidget(self.runSelectedButton, 6, 0, 1, 1)
-        self.stopQueueButton = QtWidgets.QPushButton(self.experimentSetupTab)
-        self.stopQueueButton.setObjectName("stopQueueButton")
-        self.gridLayout_4.addWidget(self.stopQueueButton, 5, 2, 1, 1)
+        self.addTrialButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.addTrialButton.setObjectName("addTrialButton")
+        self.gridLayout_4.addWidget(self.addTrialButton, 2, 0, 1, 1)
         self.pauseQueueButton = QtWidgets.QPushButton(self.experimentSetupTab)
         self.pauseQueueButton.setObjectName("pauseQueueButton")
-        self.gridLayout_4.addWidget(self.pauseQueueButton, 5, 1, 1, 1)
-        self.moveUpButton = QtWidgets.QPushButton(self.experimentSetupTab)
-        self.moveUpButton.setObjectName("moveUpButton")
-        self.gridLayout_4.addWidget(self.moveUpButton, 3, 1, 1, 1)
-        self.moveDownButton = QtWidgets.QPushButton(self.experimentSetupTab)
-        self.moveDownButton.setObjectName("moveDownButton")
-        self.gridLayout_4.addWidget(self.moveDownButton, 3, 2, 1, 1)
-        self.triggerWaitCheckBox = QtWidgets.QCheckBox(self.experimentSetupTab)
-        self.triggerWaitCheckBox.setObjectName("triggerWaitCheckBox")
-        self.gridLayout_4.addWidget(self.triggerWaitCheckBox, 6, 1, 1, 1)
+        self.gridLayout_4.addWidget(self.pauseQueueButton, 8, 1, 1, 1)
+        self.stopQueueButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.stopQueueButton.setObjectName("stopQueueButton")
+        self.gridLayout_4.addWidget(self.stopQueueButton, 8, 2, 1, 1)
         self.setupTabs.addTab(self.experimentSetupTab, "")
         self.dataExportTab = QtWidgets.QWidget()
         self.dataExportTab.setObjectName("dataExportTab")
         self.gridLayout_7 = QtWidgets.QGridLayout(self.dataExportTab)
         self.gridLayout_7.setObjectName("gridLayout_7")
+        self.horizontalLayout_3 = QtWidgets.QHBoxLayout()
+        self.horizontalLayout_3.setObjectName("horizontalLayout_3")
+        self.label_18 = QtWidgets.QLabel(self.dataExportTab)
+        self.label_18.setObjectName("label_18")
+        self.horizontalLayout_3.addWidget(self.label_18)
+        self.label_15 = QtWidgets.QLabel(self.dataExportTab)
+        self.label_15.setObjectName("label_15")
+        self.horizontalLayout_3.addWidget(self.label_15)
+        self.gridLayout_7.addLayout(self.horizontalLayout_3, 10, 1, 1, 1)
+        spacerItem6 = QtWidgets.QSpacerItem(20, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
+        self.gridLayout_7.addItem(spacerItem6, 2, 1, 1, 1)
+        self.horizontalLayout_6 = QtWidgets.QHBoxLayout()
+        self.horizontalLayout_6.setObjectName("horizontalLayout_6")
+        self.trialNameSuffixEdit = QtWidgets.QLineEdit(self.dataExportTab)
+        self.trialNameSuffixEdit.setObjectName("trialNameSuffixEdit")
+        self.horizontalLayout_6.addWidget(self.trialNameSuffixEdit)
+        self.pulseSuffixEdit = QtWidgets.QLineEdit(self.dataExportTab)
+        self.pulseSuffixEdit.setObjectName("pulseSuffixEdit")
+        self.horizontalLayout_6.addWidget(self.pulseSuffixEdit)
+        self.gridLayout_7.addLayout(self.horizontalLayout_6, 8, 1, 1, 1)
+        self.horizontalLayout_2 = QtWidgets.QHBoxLayout()
+        self.horizontalLayout_2.setObjectName("horizontalLayout_2")
+        self.saveTrialStartscheckBox = QtWidgets.QCheckBox(self.dataExportTab)
+        self.saveTrialStartscheckBox.setChecked(True)
+        self.saveTrialStartscheckBox.setObjectName("saveTrialStartscheckBox")
+        self.horizontalLayout_2.addWidget(self.saveTrialStartscheckBox)
+        self.saveCameraVideocheckBox = QtWidgets.QCheckBox(self.dataExportTab)
+        self.saveCameraVideocheckBox.setChecked(True)
+        self.saveCameraVideocheckBox.setObjectName("saveCameraVideocheckBox")
+        self.horizontalLayout_2.addWidget(self.saveCameraVideocheckBox)
+        self.gridLayout_7.addLayout(self.horizontalLayout_2, 9, 1, 1, 1)
+        self.horizontalLayout_5 = QtWidgets.QHBoxLayout()
+        self.horizontalLayout_5.setObjectName("horizontalLayout_5")
+        self.label_14 = QtWidgets.QLabel(self.dataExportTab)
+        self.label_14.setObjectName("label_14")
+        self.horizontalLayout_5.addWidget(self.label_14)
         self.label_13 = QtWidgets.QLabel(self.dataExportTab)
         self.label_13.setObjectName("label_13")
-        self.gridLayout_7.addWidget(self.label_13, 1, 0, 1, 1)
+        self.horizontalLayout_5.addWidget(self.label_13)
+        self.gridLayout_7.addLayout(self.horizontalLayout_5, 7, 1, 1, 1)
+        self.exportPathDirButton = QtWidgets.QPushButton(self.dataExportTab)
+        self.exportPathDirButton.setObjectName("exportPathDirButton")
+        self.gridLayout_7.addWidget(self.exportPathDirButton, 3, 2, 1, 1)
+        self.horizontalLayout_4 = QtWidgets.QHBoxLayout()
+        self.horizontalLayout_4.setSizeConstraint(QtWidgets.QLayout.SetDefaultConstraint)
+        self.horizontalLayout_4.setSpacing(6)
+        self.horizontalLayout_4.setObjectName("horizontalLayout_4")
+        self.trialNameCheckBox = QtWidgets.QCheckBox(self.dataExportTab)
+        self.trialNameCheckBox.setChecked(True)
+        self.trialNameCheckBox.setObjectName("trialNameCheckBox")
+        self.horizontalLayout_4.addWidget(self.trialNameCheckBox)
+        self.pulseCheckBox = QtWidgets.QCheckBox(self.dataExportTab)
+        self.pulseCheckBox.setObjectName("pulseCheckBox")
+        self.horizontalLayout_4.addWidget(self.pulseCheckBox)
+        self.gridLayout_7.addLayout(self.horizontalLayout_4, 5, 1, 1, 1)
+        self.horizontalLayout_7 = QtWidgets.QHBoxLayout()
+        self.horizontalLayout_7.setObjectName("horizontalLayout_7")
+        self.trialStartsSuffixEdit = QtWidgets.QLineEdit(self.dataExportTab)
+        self.trialStartsSuffixEdit.setObjectName("trialStartsSuffixEdit")
+        self.horizontalLayout_7.addWidget(self.trialStartsSuffixEdit)
+        self.cameraSuffixEdit = QtWidgets.QLineEdit(self.dataExportTab)
+        self.cameraSuffixEdit.setObjectName("cameraSuffixEdit")
+        self.horizontalLayout_7.addWidget(self.cameraSuffixEdit)
+        self.gridLayout_7.addLayout(self.horizontalLayout_7, 11, 1, 1, 1)
+        spacerItem7 = QtWidgets.QSpacerItem(20, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
+        self.gridLayout_7.addItem(spacerItem7, 13, 1, 1, 1)
         self.label_12 = QtWidgets.QLabel(self.dataExportTab)
         self.label_12.setObjectName("label_12")
-        self.gridLayout_7.addWidget(self.label_12, 0, 0, 1, 1)
+        self.gridLayout_7.addWidget(self.label_12, 3, 0, 1, 1)
         self.exportPathEdit = QtWidgets.QLineEdit(self.dataExportTab)
+        self.exportPathEdit.setText("")
         self.exportPathEdit.setObjectName("exportPathEdit")
-        self.gridLayout_7.addWidget(self.exportPathEdit, 0, 1, 1, 1)
-        self.exportSuffixEdit = QtWidgets.QLineEdit(self.dataExportTab)
-        self.exportSuffixEdit.setObjectName("exportSuffixEdit")
-        self.gridLayout_7.addWidget(self.exportSuffixEdit, 1, 1, 1, 1)
-        self.exportPathDirButton = QtWidgets.QPushButton(self.dataExportTab)
-        self.exportPathDirButton.setObjectName("exportPathDirButton")
-        self.gridLayout_7.addWidget(self.exportPathDirButton, 0, 2, 1, 1)
+        self.gridLayout_7.addWidget(self.exportPathEdit, 3, 1, 1, 1)
+        self.savePulseButton = QtWidgets.QPushButton(self.dataExportTab)
+        self.savePulseButton.setObjectName("savePulseButton")
+        self.gridLayout_7.addWidget(self.savePulseButton, 12, 1, 1, 1)
         self.setupTabs.addTab(self.dataExportTab, "")
+        self.cameraTab = QtWidgets.QWidget()
+        self.cameraTab.setObjectName("cameraTab")
+        self.gridLayout_8 = QtWidgets.QGridLayout(self.cameraTab)
+        self.gridLayout_8.setObjectName("gridLayout_8")
+        spacerItem8 = QtWidgets.QSpacerItem(20, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
+        self.gridLayout_8.addItem(spacerItem8, 3, 0, 1, 2)
+        spacerItem9 = QtWidgets.QSpacerItem(20, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
+        self.gridLayout_8.addItem(spacerItem9, 10, 0, 1, 2)
+        self.label_19 = QtWidgets.QLabel(self.cameraTab)
+        self.label_19.setObjectName("label_19")
+        self.gridLayout_8.addWidget(self.label_19, 5, 1, 1, 1)
+        self.cameraSaveIconBox = QtWidgets.QCheckBox(self.cameraTab)
+        self.cameraSaveIconBox.setChecked(True)
+        self.cameraSaveIconBox.setObjectName("cameraSaveIconBox")
+        self.gridLayout_8.addWidget(self.cameraSaveIconBox, 7, 0, 1, 1)
+        self.label_17 = QtWidgets.QLabel(self.cameraTab)
+        self.label_17.setObjectName("label_17")
+        self.gridLayout_8.addWidget(self.label_17, 5, 0, 1, 1)
+        self.cameraSaveIntervalEdit = QtWidgets.QLineEdit(self.cameraTab)
+        self.cameraSaveIntervalEdit.setObjectName("cameraSaveIntervalEdit")
+        self.gridLayout_8.addWidget(self.cameraSaveIntervalEdit, 6, 0, 1, 1)
+        self.numberCamerasEdit = QtWidgets.QLineEdit(self.cameraTab)
+        self.numberCamerasEdit.setObjectName("numberCamerasEdit")
+        self.gridLayout_8.addWidget(self.numberCamerasEdit, 6, 1, 1, 1)
+        self.launchCameraButton = QtWidgets.QPushButton(self.cameraTab)
+        self.launchCameraButton.setObjectName("launchCameraButton")
+        self.gridLayout_8.addWidget(self.launchCameraButton, 4, 0, 1, 2)
+        self.blackAndWhiteBox = QtWidgets.QCheckBox(self.cameraTab)
+        self.blackAndWhiteBox.setChecked(True)
+        self.blackAndWhiteBox.setObjectName("blackAndWhiteBox")
+        self.gridLayout_8.addWidget(self.blackAndWhiteBox, 7, 1, 1, 1)
+        self.showStreamcheckBox = QtWidgets.QCheckBox(self.cameraTab)
+        self.showStreamcheckBox.setChecked(True)
+        self.showStreamcheckBox.setObjectName("showStreamcheckBox")
+        self.gridLayout_8.addWidget(self.showStreamcheckBox, 8, 1, 1, 1)
+        self.closeCamerasButton = QtWidgets.QPushButton(self.cameraTab)
+        self.closeCamerasButton.setObjectName("closeCamerasButton")
+        self.gridLayout_8.addWidget(self.closeCamerasButton, 8, 0, 1, 1)
+        self.updateCamerasButton = QtWidgets.QPushButton(self.cameraTab)
+        self.updateCamerasButton.setObjectName("updateCamerasButton")
+        self.gridLayout_8.addWidget(self.updateCamerasButton, 9, 0, 1, 1)
+        self.setupTabs.addTab(self.cameraTab, "")
         self.gridLayout.addWidget(self.setupTabs, 1, 2, 1, 1)
-        self.viewWidgetTab = QtWidgets.QTabWidget(self.centralwidget)
-        self.viewWidgetTab.setObjectName("viewWidgetTab")
-        self.pulseTab = QtWidgets.QWidget()
-        self.pulseTab.setObjectName("pulseTab")
-        self.gridLayout_5 = QtWidgets.QGridLayout(self.pulseTab)
-        self.gridLayout_5.setObjectName("gridLayout_5")
-        self.graphicsView = PlotWidget(self.pulseTab)
-        sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Expanding)
-        sizePolicy.setHorizontalStretch(0)
-        sizePolicy.setVerticalStretch(0)
-        sizePolicy.setHeightForWidth(self.graphicsView.sizePolicy().hasHeightForWidth())
-        self.graphicsView.setSizePolicy(sizePolicy)
-        self.graphicsView.setObjectName("graphicsView")
-        self.gridLayout_5.addWidget(self.graphicsView, 0, 0, 1, 1)
-        self.viewWidgetTab.addTab(self.pulseTab, "")
-        self.analogDataTab = QtWidgets.QWidget()
-        self.analogDataTab.setObjectName("analogDataTab")
-        self.gridLayout_6 = QtWidgets.QGridLayout(self.analogDataTab)
-        self.gridLayout_6.setObjectName("gridLayout_6")
-        self.analogView = PlotWidget(self.analogDataTab)
-        sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Expanding)
+        self.trialBankTable = QtWidgets.QTableView(self.centralwidget)
+        sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
         sizePolicy.setHorizontalStretch(0)
         sizePolicy.setVerticalStretch(0)
-        sizePolicy.setHeightForWidth(self.analogView.sizePolicy().hasHeightForWidth())
-        self.analogView.setSizePolicy(sizePolicy)
-        self.analogView.setObjectName("analogView")
-        self.gridLayout_6.addWidget(self.analogView, 0, 0, 1, 1)
-        self.viewWidgetTab.addTab(self.analogDataTab, "")
-        self.gridLayout.addWidget(self.viewWidgetTab, 3, 2, 1, 1)
+        sizePolicy.setHeightForWidth(self.trialBankTable.sizePolicy().hasHeightForWidth())
+        self.trialBankTable.setSizePolicy(sizePolicy)
+        font = QtGui.QFont()
+        font.setFamily("Lucida Console")
+        self.trialBankTable.setFont(font)
+        self.trialBankTable.setContextMenuPolicy(QtCore.Qt.DefaultContextMenu)
+        self.trialBankTable.setSelectionBehavior(QtWidgets.QAbstractItemView.SelectRows)
+        self.trialBankTable.setObjectName("trialBankTable")
+        self.trialBankTable.horizontalHeader().setStretchLastSection(False)
+        self.gridLayout.addWidget(self.trialBankTable, 3, 0, 1, 1)
         MainWindow.setCentralWidget(self.centralwidget)
         self.menubar = QtWidgets.QMenuBar(MainWindow)
         self.menubar.setGeometry(QtCore.QRect(0, 0, 1229, 21))
@@ -271,8 +440,8 @@ def setupUi(self, MainWindow):
         self.menubar.addAction(self.menuFile.menuAction())
 
         self.retranslateUi(MainWindow)
-        self.setupTabs.setCurrentIndex(2)
         self.viewWidgetTab.setCurrentIndex(0)
+        self.setupTabs.setCurrentIndex(1)
         QtCore.QMetaObject.connectSlotsByName(MainWindow)
 
     def retranslateUi(self, MainWindow):
@@ -280,53 +449,102 @@ def retranslateUi(self, MainWindow):
         MainWindow.setWindowTitle(_translate("MainWindow", "MainWindow"))
         self.label.setText(_translate("MainWindow", "Valve Bank"))
         self.label_8.setText(_translate("MainWindow", "Trial Bank"))
-        self.digitalChannelsEdit.setText(_translate("MainWindow", "4"))
-        self.label_9.setText(_translate("MainWindow", "Trigger In Source"))
-        self.label_2.setText(_translate("MainWindow", "Digital Out Device"))
-        self.label_4.setText(_translate("MainWindow", "Digital Channels"))
+        self.viewWidgetTab.setTabText(self.viewWidgetTab.indexOf(self.pulseTab), _translate("MainWindow", "Pulses"))
+        self.viewWidgetTab.setTabText(self.viewWidgetTab.indexOf(self.analogDataTab), _translate("MainWindow", "Analog Data"))
+        self.label_22.setText(_translate("MainWindow", "Carrier flow out device"))
+        self.carrierControlBox.setText(_translate("MainWindow", "Control carrier flow"))
         self.digitalOutDevEdit.setText(_translate("MainWindow", "dev2/port0/line0:3"))
-        self.label_3.setText(_translate("MainWindow", "Analog Input Device"))
-        self.analogChannelsLabel.setText(_translate("MainWindow", "Analog Channels"))
+        self.digitalChannelsEdit.setText(_translate("MainWindow", "4"))
         self.analogInDevEdit.setText(_translate("MainWindow", "dev2/ai4"))
         self.analogChannelsEdit.setText(_translate("MainWindow", "1"))
         self.label_5.setText(_translate("MainWindow", "Sampling Rate"))
-        self.sampRateEdit.setText(_translate("MainWindow", "20000"))
         self.label_11.setText(_translate("MainWindow", "Synchronisation Clock"))
-        self.triggerInEdit.setText(_translate("MainWindow", "cDAQ1Mod2/ai3"))
         self.syncClockEdit.setText(_translate("MainWindow", "/dev2/ai/SampleClock"))
+        self.label_4.setText(_translate("MainWindow", "Digital Channels"))
+        self.sampRateEdit.setText(_translate("MainWindow", "20000"))
+        self.analogChannelsLabel.setText(_translate("MainWindow", "Analog Channels"))
+        self.label_9.setText(_translate("MainWindow", "Trigger In Source"))
+        self.label_2.setText(_translate("MainWindow", "Digital Out Device"))
+        self.triggerInEdit.setText(_translate("MainWindow", "cDAQ1Mod2/ai3"))
+        self.label_3.setText(_translate("MainWindow", "Analog Input Device"))
+        self.carrierDeviceEdit.setText(_translate("MainWindow", "dev2/port0/line5"))
         self.setupTabs.setTabText(self.setupTabs.indexOf(self.hardwareTab), _translate("MainWindow", "Hardware"))
-        self.label_6.setText(_translate("MainWindow", "Onset"))
-        self.globalOnsetEdit.setText(_translate("MainWindow", "0"))
+        self.shuffleOffsetlineEdit.setText(_translate("MainWindow", "0"))
+        self.label_16.setText(_translate("MainWindow", "Blank valve indexes (0 indexing)"))
+        self.shuffleGrouplineEdit.setText(_translate("MainWindow", "1"))
+        self.invertBlankcheckBox.setText(_translate("MainWindow", "Invert blank off state"))
+        self.label_21.setText(_translate("MainWindow", "Shuffle offset"))
         self.label_7.setText(_translate("MainWindow", "Offset"))
         self.globalOffsetEdit.setText(_translate("MainWindow", "0"))
+        self.label_6.setText(_translate("MainWindow", "Onset"))
+        self.label_20.setText(_translate("MainWindow", "Shuffle group size"))
+        self.globalOnsetEdit.setText(_translate("MainWindow", "0"))
+        self.label_23.setText(_translate("MainWindow", "Shuffle back-offset"))
+        self.shuffleBackOffsetlineEdit.setText(_translate("MainWindow", "0"))
         self.setupTabs.setTabText(self.setupTabs.indexOf(self.globalParametersTab), _translate("MainWindow", "Global Parameters"))
-        self.trialNameEdit.setText(_translate("MainWindow", "Trial Name"))
+        self.closeValvesButton.setText(_translate("MainWindow", "Close all valves"))
+        self.randomiseTrialsButton.setText(_translate("MainWindow", "Randomise trials"))
+        self.runSelectedButton.setText(_translate("MainWindow", "Run Selected"))
+        self.moveUpButton.setText(_translate("MainWindow", "Move Up"))
+        self.startQueueFromSelectedButton.setText(_translate("MainWindow", "Start Queue from Selected"))
+        self.label_10.setText(_translate("MainWindow", "Repeats"))
         self.startQueueButton.setText(_translate("MainWindow", "Start Queue"))
-        self.valveTypeCombo.setItemText(0, _translate("MainWindow", "Simple"))
-        self.valveTypeCombo.setItemText(1, _translate("MainWindow", "Noise"))
-        self.valveTypeCombo.setItemText(2, _translate("MainWindow", "Plume"))
-        self.addTrialButton.setText(_translate("MainWindow", "Add To Trials"))
+        self.shuffleRepeatsBox.setText(_translate("MainWindow", "Shuffle repeats"))
         self.addValveButton.setText(_translate("MainWindow", "Add Valve"))
+        self.triggerWaitCheckBox.setText(_translate("MainWindow", "Wait for trigger"))
+        self.valveTypeCombo.setItemText(0, _translate("MainWindow", "Simple"))
+        self.valveTypeCombo.setItemText(1, _translate("MainWindow", "Binary"))
+        self.valveTypeCombo.setItemText(2, _translate("MainWindow", "Anti Plume"))
+        self.valveTypeCombo.setItemText(3, _translate("MainWindow", "Noise"))
+        self.valveTypeCombo.setItemText(4, _translate("MainWindow", "Plume"))
         self.updateTrialButton.setText(_translate("MainWindow", "Update Trial"))
+        self.moveDownButton.setText(_translate("MainWindow", "Move Down"))
+        self.trialNameEdit.setText(_translate("MainWindow", "Trial Name"))
         self.removeTrialButton.setText(_translate("MainWindow", "Remove Trial"))
-        self.runSelectedButton.setText(_translate("MainWindow", "Run Selected"))
-        self.stopQueueButton.setText(_translate("MainWindow", "Stop Queue"))
+        self.addTrialButton.setText(_translate("MainWindow", "Add To Trials"))
         self.pauseQueueButton.setText(_translate("MainWindow", "Pause Queue"))
-        self.moveUpButton.setText(_translate("MainWindow", "Move Up"))
-        self.moveDownButton.setText(_translate("MainWindow", "Move Down"))
-        self.triggerWaitCheckBox.setText(_translate("MainWindow", "Wait for trigger"))
+        self.stopQueueButton.setText(_translate("MainWindow", "Stop Queue"))
         self.setupTabs.setTabText(self.setupTabs.indexOf(self.experimentSetupTab), _translate("MainWindow", "Experiment"))
-        self.label_13.setText(_translate("MainWindow", "Export Suffix"))
-        self.label_12.setText(_translate("MainWindow", "Export Path"))
-        self.exportPathEdit.setText(_translate("MainWindow", "C:/Users/erskina/PycharmProjects/PulseBoy/Data/"))
-        self.exportSuffixEdit.setText(_translate("MainWindow", "data"))
+        self.label_18.setText(_translate("MainWindow", "Time suffix"))
+        self.label_15.setText(_translate("MainWindow", "Camera suffix"))
+        self.trialNameSuffixEdit.setText(_translate("MainWindow", "trial_name"))
+        self.pulseSuffixEdit.setText(_translate("MainWindow", "data"))
+        self.saveTrialStartscheckBox.setText(_translate("MainWindow", "Save trial start times"))
+        self.saveCameraVideocheckBox.setText(_translate("MainWindow", "Save camera video"))
+        self.label_14.setText(_translate("MainWindow", "Name suffix"))
+        self.label_13.setText(_translate("MainWindow", "Pulse suffix"))
         self.exportPathDirButton.setText(_translate("MainWindow", "..."))
+        self.trialNameCheckBox.setText(_translate("MainWindow", "Save trial names"))
+        self.pulseCheckBox.setText(_translate("MainWindow", "Save pulses"))
+        self.trialStartsSuffixEdit.setText(_translate("MainWindow", "trial_starts"))
+        self.cameraSuffixEdit.setText(_translate("MainWindow", "camera"))
+        self.label_12.setText(_translate("MainWindow", "Save path"))
+        self.savePulseButton.setText(_translate("MainWindow", "Save all pulses"))
         self.setupTabs.setTabText(self.setupTabs.indexOf(self.dataExportTab), _translate("MainWindow", "Data"))
-        self.viewWidgetTab.setTabText(self.viewWidgetTab.indexOf(self.pulseTab), _translate("MainWindow", "Pulses"))
-        self.viewWidgetTab.setTabText(self.viewWidgetTab.indexOf(self.analogDataTab), _translate("MainWindow", "Analog Data"))
+        self.label_19.setText(_translate("MainWindow", "Number of cameras"))
+        self.cameraSaveIconBox.setText(_translate("MainWindow", "Camera save icon"))
+        self.label_17.setText(_translate("MainWindow", "Camera save interval (s)"))
+        self.cameraSaveIntervalEdit.setText(_translate("MainWindow", "600"))
+        self.numberCamerasEdit.setText(_translate("MainWindow", "2"))
+        self.launchCameraButton.setText(_translate("MainWindow", "Launch camera(s)"))
+        self.blackAndWhiteBox.setText(_translate("MainWindow", "Black and white"))
+        self.showStreamcheckBox.setText(_translate("MainWindow", "Show stream"))
+        self.closeCamerasButton.setText(_translate("MainWindow", "Close cameras(s)"))
+        self.updateCamerasButton.setText(_translate("MainWindow", "Update camera(s)"))
+        self.setupTabs.setTabText(self.setupTabs.indexOf(self.cameraTab), _translate("MainWindow", "Cameras"))
         self.menuFile.setTitle(_translate("MainWindow", "File"))
         self.actionSave.setText(_translate("MainWindow", "Save"))
         self.actionLoad.setText(_translate("MainWindow", "Load"))
         self.actionSave_Configuration.setText(_translate("MainWindow", "Save Configuration"))
 
 from pyqtgraph import PlotWidget
+import sys
+if __name__ == "__main__":
+    import sys
+    app = QtWidgets.QApplication(sys.argv)
+    MainWindow = QtWidgets.QMainWindow()
+    ui = Ui_MainWindow()
+    ui.setupUi(MainWindow)
+    MainWindow.show()
+    sys.exit(app.exec_())
+
diff --git a/Designs/noiseValveDesign.py b/Designs/noiseValveDesign.py
index 8611aa0..02f4af0 100644
--- a/Designs/noiseValveDesign.py
+++ b/Designs/noiseValveDesign.py
@@ -2,7 +2,7 @@
 
 # Form implementation generated from reading ui file 'NoiseValveWidget.ui'
 #
-# Created by: PyQt5 UI code generator 5.5.1
+# Created by: PyQt5 UI code generator 5.9
 #
 # WARNING! All changes made in this file will be lost!
 
@@ -11,7 +11,7 @@
 class Ui_Form(object):
     def setupUi(self, Form):
         Form.setObjectName("Form")
-        Form.resize(667, 76)
+        Form.resize(681, 76)
         sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Preferred, QtWidgets.QSizePolicy.Preferred)
         sizePolicy.setHorizontalStretch(0)
         sizePolicy.setVerticalStretch(0)
@@ -88,6 +88,9 @@ def setupUi(self, Form):
         self.removeButton = QtWidgets.QToolButton(Form)
         self.removeButton.setObjectName("removeButton")
         self.gridLayout.addWidget(self.removeButton, 1, 0, 1, 1)
+        self.position = QtWidgets.QLabel(Form)
+        self.position.setObjectName("position")
+        self.gridLayout.addWidget(self.position, 0, 0, 1, 1)
 
         self.retranslateUi(Form)
         self.repeatsRadio.clicked.connect(self.lengthRadio.toggle)
@@ -118,4 +121,5 @@ def retranslateUi(self, Form):
         self.shatterHzEdit.setText(_translate("Form", "500"))
         self.label_5.setText(_translate("Form", "Seed"))
         self.removeButton.setText(_translate("Form", "-"))
+        self.position.setText(_translate("Form", "1"))
 
diff --git a/Designs/plumeValveDesign.py b/Designs/plumeValveDesign.py
index 32b4e60..33c157a 100644
--- a/Designs/plumeValveDesign.py
+++ b/Designs/plumeValveDesign.py
@@ -1,8 +1,8 @@
 # -*- coding: utf-8 -*-
 
-# Form implementation generated from reading ui file 'UI/PlumeValveWidget.ui'
+# Form implementation generated from reading ui file 'PlumeValveWidget.ui'
 #
-# Created by: PyQt5 UI code generator 5.5.1
+# Created by: PyQt5 UI code generator 5.9
 #
 # WARNING! All changes made in this file will be lost!
 
@@ -22,50 +22,53 @@ def setupUi(self, Form):
         Form.setFont(font)
         self.gridLayout = QtWidgets.QGridLayout(Form)
         self.gridLayout.setObjectName("gridLayout")
-        self.dataSamplingRateEdit = QtWidgets.QLineEdit(Form)
-        self.dataSamplingRateEdit.setObjectName("dataSamplingRateEdit")
-        self.gridLayout.addWidget(self.dataSamplingRateEdit, 1, 5, 1, 1)
-        self.onsetEdit = QtWidgets.QLineEdit(Form)
-        self.onsetEdit.setObjectName("onsetEdit")
-        self.gridLayout.addWidget(self.onsetEdit, 1, 1, 1, 1)
+        self.plumeDataLabel = QtWidgets.QLabel(Form)
+        self.plumeDataLabel.setObjectName("plumeDataLabel")
+        self.gridLayout.addWidget(self.plumeDataLabel, 1, 5, 1, 1)
+        self.label_5 = QtWidgets.QLabel(Form)
+        self.label_5.setObjectName("label_5")
+        self.gridLayout.addWidget(self.label_5, 0, 6, 1, 1)
+        self.targetMaxEdit = QtWidgets.QLineEdit(Form)
+        self.targetMaxEdit.setObjectName("targetMaxEdit")
+        self.gridLayout.addWidget(self.targetMaxEdit, 1, 7, 1, 1)
+        self.line_2 = QtWidgets.QFrame(Form)
+        self.line_2.setFrameShape(QtWidgets.QFrame.HLine)
+        self.line_2.setFrameShadow(QtWidgets.QFrame.Sunken)
+        self.line_2.setObjectName("line_2")
+        self.gridLayout.addWidget(self.line_2, 2, 2, 1, 6)
         self.label_2 = QtWidgets.QLabel(Form)
         self.label_2.setObjectName("label_2")
-        self.gridLayout.addWidget(self.label_2, 0, 2, 1, 1)
-        self.label = QtWidgets.QLabel(Form)
-        self.label.setObjectName("label")
-        self.gridLayout.addWidget(self.label, 0, 1, 1, 1)
+        self.gridLayout.addWidget(self.label_2, 0, 3, 1, 1)
+        self.label_3 = QtWidgets.QLabel(Form)
+        self.label_3.setObjectName("label_3")
+        self.gridLayout.addWidget(self.label_3, 0, 7, 1, 1)
         self.offsetEdit = QtWidgets.QLineEdit(Form)
         self.offsetEdit.setObjectName("offsetEdit")
-        self.gridLayout.addWidget(self.offsetEdit, 1, 2, 1, 1)
+        self.gridLayout.addWidget(self.offsetEdit, 1, 3, 1, 1)
+        self.onsetEdit = QtWidgets.QLineEdit(Form)
+        self.onsetEdit.setObjectName("onsetEdit")
+        self.gridLayout.addWidget(self.onsetEdit, 1, 2, 1, 1)
+        self.label = QtWidgets.QLabel(Form)
+        self.label.setObjectName("label")
+        self.gridLayout.addWidget(self.label, 0, 2, 1, 1)
+        self.dataSamplingRateEdit = QtWidgets.QLineEdit(Form)
+        self.dataSamplingRateEdit.setObjectName("dataSamplingRateEdit")
+        self.gridLayout.addWidget(self.dataSamplingRateEdit, 1, 6, 1, 1)
         self.label_8 = QtWidgets.QLabel(Form)
         self.label_8.setObjectName("label_8")
-        self.gridLayout.addWidget(self.label_8, 0, 3, 1, 1)
-        self.shatterHzEdit = QtWidgets.QLineEdit(Form)
-        self.shatterHzEdit.setObjectName("shatterHzEdit")
-        self.gridLayout.addWidget(self.shatterHzEdit, 1, 3, 1, 1)
+        self.gridLayout.addWidget(self.label_8, 0, 4, 1, 1)
         self.removeButton = QtWidgets.QToolButton(Form)
         self.removeButton.setObjectName("removeButton")
         self.gridLayout.addWidget(self.removeButton, 1, 0, 1, 1)
+        self.shatterHzEdit = QtWidgets.QLineEdit(Form)
+        self.shatterHzEdit.setObjectName("shatterHzEdit")
+        self.gridLayout.addWidget(self.shatterHzEdit, 1, 4, 1, 1)
         self.openPlumeDataButton = QtWidgets.QPushButton(Form)
         self.openPlumeDataButton.setObjectName("openPlumeDataButton")
-        self.gridLayout.addWidget(self.openPlumeDataButton, 0, 4, 1, 1)
-        self.plumeDataLabel = QtWidgets.QLabel(Form)
-        self.plumeDataLabel.setObjectName("plumeDataLabel")
-        self.gridLayout.addWidget(self.plumeDataLabel, 1, 4, 1, 1)
-        self.label_5 = QtWidgets.QLabel(Form)
-        self.label_5.setObjectName("label_5")
-        self.gridLayout.addWidget(self.label_5, 0, 5, 1, 1)
-        self.targetMaxEdit = QtWidgets.QLineEdit(Form)
-        self.targetMaxEdit.setObjectName("targetMaxEdit")
-        self.gridLayout.addWidget(self.targetMaxEdit, 1, 6, 1, 1)
-        self.label_3 = QtWidgets.QLabel(Form)
-        self.label_3.setObjectName("label_3")
-        self.gridLayout.addWidget(self.label_3, 0, 6, 1, 1)
-        self.line_2 = QtWidgets.QFrame(Form)
-        self.line_2.setFrameShape(QtWidgets.QFrame.HLine)
-        self.line_2.setFrameShadow(QtWidgets.QFrame.Sunken)
-        self.line_2.setObjectName("line_2")
-        self.gridLayout.addWidget(self.line_2, 2, 1, 1, 6)
+        self.gridLayout.addWidget(self.openPlumeDataButton, 0, 5, 1, 1)
+        self.position = QtWidgets.QLabel(Form)
+        self.position.setObjectName("position")
+        self.gridLayout.addWidget(self.position, 0, 0, 1, 1)
 
         self.retranslateUi(Form)
         QtCore.QMetaObject.connectSlotsByName(Form)
@@ -73,17 +76,18 @@ def setupUi(self, Form):
     def retranslateUi(self, Form):
         _translate = QtCore.QCoreApplication.translate
         Form.setWindowTitle(_translate("Form", "Form"))
-        self.dataSamplingRateEdit.setText(_translate("Form", "10000"))
-        self.onsetEdit.setText(_translate("Form", "0.1"))
+        self.plumeDataLabel.setText(_translate("Form", "-"))
+        self.label_5.setText(_translate("Form", "Data Sampling Rate"))
+        self.targetMaxEdit.setText(_translate("Form", "1.0"))
         self.label_2.setText(_translate("Form", "Offset"))
-        self.label.setText(_translate("Form", "Onset"))
+        self.label_3.setText(_translate("Form", "Target Max."))
         self.offsetEdit.setText(_translate("Form", "0.1"))
+        self.onsetEdit.setText(_translate("Form", "0.1"))
+        self.label.setText(_translate("Form", "Onset"))
+        self.dataSamplingRateEdit.setText(_translate("Form", "10000"))
         self.label_8.setText(_translate("Form", "Shatter (Hz)"))
-        self.shatterHzEdit.setText(_translate("Form", "500"))
         self.removeButton.setText(_translate("Form", "-"))
+        self.shatterHzEdit.setText(_translate("Form", "500"))
         self.openPlumeDataButton.setText(_translate("Form", "Open Plume Data"))
-        self.plumeDataLabel.setText(_translate("Form", "-"))
-        self.label_5.setText(_translate("Form", "Data Sampling Rate"))
-        self.targetMaxEdit.setText(_translate("Form", "1.0"))
-        self.label_3.setText(_translate("Form", "Target Max."))
+        self.position.setText(_translate("Form", "1"))
 
diff --git a/Designs/simpleValveDesign.py b/Designs/simpleValveDesign.py
index 411f4b9..21c5fd1 100644
--- a/Designs/simpleValveDesign.py
+++ b/Designs/simpleValveDesign.py
@@ -2,7 +2,7 @@
 
 # Form implementation generated from reading ui file 'SimpleValveWidget.ui'
 #
-# Created by: PyQt5 UI code generator 5.5.1
+# Created by: PyQt5 UI code generator 5.9
 #
 # WARNING! All changes made in this file will be lost!
 
@@ -11,7 +11,7 @@
 class Ui_Form(object):
     def setupUi(self, Form):
         Form.setObjectName("Form")
-        Form.resize(846, 113)
+        Form.resize(1421, 113)
         sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Maximum)
         sizePolicy.setHorizontalStretch(0)
         sizePolicy.setVerticalStretch(0)
@@ -121,6 +121,9 @@ def setupUi(self, Form):
         self.removeButton = QtWidgets.QToolButton(Form)
         self.removeButton.setObjectName("removeButton")
         self.gridLayout.addWidget(self.removeButton, 2, 0, 1, 1)
+        self.position = QtWidgets.QLabel(Form)
+        self.position.setObjectName("position")
+        self.gridLayout.addWidget(self.position, 0, 0, 2, 1)
 
         self.retranslateUi(Form)
         self.fromValuesRadio.clicked.connect(self.fromDutyRadio.toggle)
@@ -167,4 +170,5 @@ def retranslateUi(self, Form):
         self.frequencyEdit.setText(_translate("Form", "5"))
         self.label_5.setText(_translate("Form", "Frequency (Hz)"))
         self.removeButton.setText(_translate("Form", "-"))
+        self.position.setText(_translate("Form", "1"))
 
diff --git a/Models/Experiment.py b/Models/Experiment.py
index aaa56d9..9196c51 100644
--- a/Models/Experiment.py
+++ b/Models/Experiment.py
@@ -1,5 +1,8 @@
 from PyQt5 import QtCore, QtGui
 import pickle as pickle
+import random
+import numpy as np
+import math
 
 default_row = [[0, [], '']]
 
@@ -36,6 +39,7 @@ def append_row(self, row):
         if self.arraydata[0] == default_row.copy()[0]:
             self.arraydata[0] = row
         else:
+            self.arraydata = list(self.arraydata)
             self.arraydata.append(row)
         self.layoutChanged.emit()
 
@@ -80,7 +84,12 @@ def load_arraydata(self, file_conf):
         try:
             with open(file_conf, 'rb') as fn:
                 arraydata = pickle.load(fn)
-
+                for i in arraydata:
+                    for index, j in enumerate(i[1]):
+                        if 'position' not in j:
+                            j['position'] = index
+                for i in arraydata[0][1]:
+                    print(i['position'])
             self.arraydata = arraydata
             self.layoutChanged.emit()
         except:
@@ -95,6 +104,16 @@ def save_arraydata(self, file_conf):
             print("save failed")
             pass
 
+    def save_trial_names(self, file_conf):
+        try:
+            with open(file_conf[0] + file_conf[1], 'wb') as fn:
+                for i in self.arraydata:
+                    fn.write(i)
+                    fn.close()
+        except:
+            print('save failed')
+            pass
+
     def advance_trial(self):
         self.current_trial += 1
 
@@ -104,5 +123,24 @@ def reset_trials(self):
     def total_trials(self):
         return len(self.arraydata)
 
-
-
+    def randomise_trials(self, global_params):
+        shuffle_offset = global_params['shuffle_offset']
+        shuffle_back_offset = global_params['shuffle_back_offset']
+        shuffle_group_size = global_params['shuffle_group_size']
+        if shuffle_offset + shuffle_back_offset > len(self.arraydata):
+            shuffle_offset = math.ceil(len(self.arraydata)/2)
+            shuffle_back_offset = math.floor(len(self.arraydata)/2)
+        out_shuffle = list(self.arraydata[:shuffle_offset])
+        out_shuffle_back = []
+        if shuffle_back_offset > 0:
+            out_shuffle_back = list(self.arraydata[-shuffle_back_offset:])
+        
+        print(len(out_shuffle_back), shuffle_back_offset)
+        shuffle_indexes = np.arange((math.ceil(len(self.arraydata)-shuffle_offset-shuffle_back_offset)/shuffle_group_size))*shuffle_group_size+shuffle_offset
+        random.shuffle(shuffle_indexes)
+        for i in shuffle_indexes:
+            for j in range(shuffle_group_size):
+                out_shuffle.append(self.arraydata[int(i+j)])
+        if shuffle_back_offset > 0:
+            out_shuffle += out_shuffle_back
+        self.arraydata = out_shuffle
diff --git a/Models/PBWidgets.py b/Models/PBWidgets.py
index 09e280f..61d2b50 100644
--- a/Models/PBWidgets.py
+++ b/Models/PBWidgets.py
@@ -1,15 +1,16 @@
 from PyQt5 import QtWidgets
 
-from Designs import trialDesign, simpleValveDesign, noiseValveDesign, plumeValveDesign
+from Designs import trialDesign, simpleValveDesign, noiseValveDesign, plumeValveDesign, binaryValveDesign
 
 
 # TODO - These widgets could inherit from a common PBWidget parent that implements remove_from_parent etc.
 class SimpleValveWidget(QtWidgets.QWidget, simpleValveDesign.Ui_Form):
-    def __init__(self, parentUi=None):
+    def __init__(self, parentUi=None, position=0):
         super(self.__class__, self).__init__()
         self.setupUi(self)
 
         self.parentUi = parentUi
+        self.position.setText(str(position))
 
         self.removeButton.clicked.connect(self.remove_from_parent)
 
@@ -39,6 +40,7 @@ def get_parameters(self):
         params['shatter_duty'] = float(self.shatterDutyEdit.text())
         params['repeats'] = int(self.repeatsEdit.text())
         params['length'] = float(self.lengthEdit.text())
+        params['position'] = int(self.position.text())
 
         return params
 
@@ -61,14 +63,16 @@ def set_parameters(self, params):
         self.shatterDutyEdit.setText(str(params['shatter_duty']))
         self.repeatsEdit.setText(str(params['repeats']))
         self.lengthEdit.setText(str(params['length']))
+        self.position.setText(str(params['position']))
 
 
 class NoiseValveWidget(QtWidgets.QWidget, noiseValveDesign.Ui_Form):
-    def __init__(self, parentUi=None):
+    def __init__(self, parentUi=None, position=0):
         super(self.__class__, self).__init__()
         self.setupUi(self)
 
         self.parentUi = parentUi
+        self.position.setText(str(position))
 
         self.removeButton.clicked.connect(self.remove_from_parent)
 
@@ -93,6 +97,8 @@ def get_parameters(self):
         params['repeats'] = int(self.repeatsEdit.text())
         params['length'] = float(self.lengthEdit.text())
         params['shatter_frequency'] = float(self.shatterHzEdit.text())
+        params['position'] = int(self.position.text())
+
 
         return params
 
@@ -108,14 +114,16 @@ def set_parameters(self, params):
         self.ampMaxEdit.setText(str(params['amp_max']))
         self.repeatsEdit.setText(str(params['repeats']))
         self.lengthEdit.setText(str(params['length']))
+        self.position.setText(str(params['position']))
 
 
 class PlumeValveWidget(QtWidgets.QWidget, plumeValveDesign.Ui_Form):
-    def __init__(self, parentUi=None):
+    def __init__(self, parentUi=None, position=0):
         super(self.__class__, self).__init__()
         self.setupUi(self)
 
         self.parentUi = parentUi
+        self.position.setText(str(position))
 
         self.removeButton.clicked.connect(self.remove_from_parent)
         self.openPlumeDataButton.clicked.connect(self.load_plume_data)
@@ -135,6 +143,52 @@ def get_parameters(self):
         params['data_fs'] = float(self.dataSamplingRateEdit.text())
         params['data_path'] = str(self.plumeDataLabel.text())
         params['target_max'] = float(self.targetMaxEdit.text())
+        params['position'] = int(self.position.text())
+
+
+        return params
+
+    def set_parameters(self, params):
+        self.onsetEdit.setText(str(params['onset']))
+        self.offsetEdit.setText(str(params['offset']))
+        self.shatterHzEdit.setText(str(params['shatter_frequency']))
+        self.plumeDataLabel.setText(params['data_path'])
+        self.dataSamplingRateEdit.setText(str(params['data_fs']))
+        self.targetMaxEdit.setText(str(params['target_max']))
+        self.position.setText(str(params['position']))
+
+    def load_plume_data(self):
+        fname, suff = QtWidgets.QFileDialog.getOpenFileName(self, "Open File", '', '*.mat')
+        self.plumeDataLabel.setText(fname)
+
+
+class AntiPlumeValveWidget(QtWidgets.QWidget, plumeValveDesign.Ui_Form):
+    def __init__(self, parentUi=None, position=0):
+        super(self.__class__, self).__init__()
+        self.setupUi(self)
+
+        self.parentUi = parentUi
+        self.position.setText(str(position))
+
+        self.removeButton.clicked.connect(self.remove_from_parent)
+        self.openPlumeDataButton.clicked.connect(self.load_plume_data)
+
+    def remove_from_parent(self):
+        self.parentUi.layout().removeWidget(self)
+        self.deleteLater()
+
+    def get_parameters(self):
+        params = dict()
+
+        params['type'] = 'Anti Plume'
+
+        params['onset'] = float(self.onsetEdit.text())
+        params['offset'] = float(self.offsetEdit.text())
+        params['shatter_frequency'] = float(self.shatterHzEdit.text())
+        params['data_fs'] = float(self.dataSamplingRateEdit.text())
+        params['data_path'] = str(self.plumeDataLabel.text())
+        params['target_max'] = float(self.targetMaxEdit.text())
+        params['position'] = int(self.position.text())
 
         return params
 
@@ -145,12 +199,61 @@ def set_parameters(self, params):
         self.plumeDataLabel.setText(params['data_path'])
         self.dataSamplingRateEdit.setText(str(params['data_fs']))
         self.targetMaxEdit.setText(str(params['target_max']))
+        self.position.setText(str(params['position']))
 
     def load_plume_data(self):
         fname, suff = QtWidgets.QFileDialog.getOpenFileName(self, "Open File", '', '*.mat')
         self.plumeDataLabel.setText(fname)
 
 
+class BinaryPlumeValveWidget(QtWidgets.QWidget, binaryValveDesign.Ui_Form):
+    def __init__(self, parentUi=None, position=0):
+        super(self.__class__, self).__init__()
+        self.setupUi(self)
+
+        self.parentUi = parentUi
+        self.position.setText(str(position))
+        self.removeButton.clicked.connect(self.remove_from_parent)
+
+    def remove_from_parent(self):
+        self.parentUi.layout().removeWidget(self)
+        self.deleteLater()
+
+    def get_parameters(self):
+        params = dict()
+
+        params['type'] = 'Binary'
+
+        params['onset'] = float(self.onsetEdit.text())
+        params['offset'] = float(self.offsetEdit.text())
+        params['num_of_bins'] = float(self.numofbinsEdit.text())
+        params['value_to_binarise'] = int(self.valuetobinariseEdit.text())
+        params['bin_size'] = float(self.binsizeEdit.text())
+        params['shatter_frequency'] = float(self.shatterEdit.text())
+        params['position'] = int(self.position.text())
+        params['isShatter'] = bool(self.shatterBox.isChecked())
+        params['shatter_duty'] = float(self.shatterDutyEdit.text())
+
+        return params
+
+    def set_parameters(self, params):
+        self.onsetEdit.setText(str(params['onset']))
+        self.offsetEdit.setText(str(params['offset']))
+        self.numofbinsEdit.setText(str(params['num_of_bins']))
+        self.valuetobinariseEdit.setText(str(params['value_to_binarise']))
+        self.binsizeEdit.setText(str(params['bin_size']))
+        self.position.setText(str(params['position']))
+        if 'shatter_frequency' in params:
+            self.shatterEdit.setText(str(params['shatter_frequency']))
+        if 'shatter_duty' in params:
+            self.shatterDutyEdit.setText(str(params['shatter_duty']))
+        if 'isShatter' in params:
+            self.shatterBox.setChecked(bool(params['isShatter']))
+        else:
+            self.shatterBox.setChecked(False)
+
+
+
 class TrialWidget(QtWidgets.QWidget, trialDesign.Ui_Form):
     def __init__(self, n_valves, parent=None):
         super(self.__class__, self).__init__()
diff --git a/Plume_analysis.py.ipynb b/Plume_analysis.py.ipynb
new file mode 100644
index 0000000..b4c8af9
--- /dev/null
+++ b/Plume_analysis.py.ipynb
@@ -0,0 +1,4831 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "-  Analysis for plumes taken on 190118, only 4 different plumes recorded\n",
+    "-  All are 5s long\n",
+    "-  All plumes are from /Volumes/lab-schaefera/working/marinc/Distance_box/Far_80cm/plume_80cm_180328_5.mat\n",
+    "-  Order are:\n",
+    "   1. 1Hz square pulses from two channels, total flow should be 1\n",
+    "   2. plume on ch3\n",
+    "   3. Anti plume on ch4\n",
+    "   4. Combination of both on Ch3 and Ch4"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import scipy.io as sio\n",
+    "import matplotlib.pyplot as plt\n",
+    "from sklearn.preprocessing import normalize\n",
+    "%matplotlib notebook"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "flowmeter = sio.loadmat('/Volumes/lab-schaefera/working/warnert/Recordings/Set up recordings/190118/flowmeter_plumes.mat')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "__header__\n",
+      "__version__\n",
+      "__globals__\n",
+      "flowmeter_plumes_Ch31\n",
+      "flowmeter_plumes_Ch5\n",
+      "flowmeter_plumes_Ch4\n",
+      "flowmeter_plumes_Ch3\n",
+      "flowmeter_plumes_Ch2\n",
+      "flowmeter_plumes_Ch1\n"
+     ]
+    }
+   ],
+   "source": [
+    "for i in flowmeter:\n",
+    "    print(i)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x10f42c2e8>]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(3, 1, sharex=True)\n",
+    "ax[0].plot(flowmeter['flowmeter_plumes_Ch1'][0][0][-1])\n",
+    "ax[1].plot(flowmeter['flowmeter_plumes_Ch4'][0][0][-1])\n",
+    "ax[2].plot(flowmeter['flowmeter_plumes_Ch5'][0][0][-1])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Ch3 = flowmeter['flowmeter_plumes_Ch4'][0][0][-1]\n",
+    "Ch4 = flowmeter['flowmeter_plumes_Ch5'][0][0][-1]\n",
+    "flow = flowmeter['flowmeter_plumes_Ch1'][0][0][-1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "baseline = np.mean(flow[:276463])\n",
+    "flow = [i-baseline for i in flow]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "x = lambda a: 1 if a > 1 else 0\n",
+    "Ch3 = [x(i) for i in Ch3]\n",
+    "Ch4 = [x(i) for i in Ch4]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(max(Ch3))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2\n"
+     ]
+    }
+   ],
+   "source": [
+    "mix= [i+j for i, j in zip(Ch3, Ch4)]\n",
+    "print(max(mix))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "276463\n",
+      "326463\n"
+     ]
+    }
+   ],
+   "source": [
+    "found_pulse = False\n",
+    "for index, i in enumerate(mix):\n",
+    "    if i > 0 and not found_pulse:\n",
+    "        print(index)\n",
+    "        found_pulse = True\n",
+    "    if i < 1 and found_pulse:\n",
+    "        print(index)\n",
+    "        break\n",
+    "# Difference in the two, divided by 5 is the fs = 10000"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "raw_plume = sio.loadmat('/Volumes/lab-schaefera/working/marinc/Distance_box/Far_80cm/plume_80cm_180328_5.mat')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "50000\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(len(raw_plume['plume'][0])) # Plume is 5s long"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Ch3_plumes_only = Ch3[326500:]\n",
+    "Ch4_plumes_only = Ch4[326500:]\n",
+    "mix_plumes_only = mix[326500:]\n",
+    "flow_plumes_only = flow[326500:]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x109150c50>]"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(Ch3_plumes_only)\n",
+    "plt.plot(Ch4_plumes_only)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plume_length = 5\n",
+    "fs = 10000\n",
+    "plume_starts = []\n",
+    "last_plume = 0\n",
+    "for index, i in enumerate(mix_plumes_only):\n",
+    "    if i > 0 and index-last_plume > 50000:\n",
+    "        found_plume = True\n",
+    "        plume_starts.append(index)\n",
+    "        last_plume = index\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(len(plume_starts))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[143483, 526552, 777451]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(plume_starts)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0xb2d975128>]"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#plt.plot(mix_plumes_only[plume_starts[2]:plume_starts[2]+50000])\n",
+    "plt.plot(Ch3_plumes_only[plume_starts[2]:plume_starts[2]+50000])\n",
+    "plt.plot(Ch4_plumes_only[plume_starts[2]:plume_starts[2]+50000])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "143483\n",
+      "50000\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0xb395bfeb8>"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plume_start = plume_starts[0]\n",
+    "plume_end = plume_start + 50000\n",
+    "print(plume_start)\n",
+    "\n",
+    "x = np.arange(0, 5, 1/10000)\n",
+    "print(len(x))\n",
+    "plt.plot(x, flow_plumes_only[plume_start:plume_end]/max(flow_plumes_only[plume_start:plume_end]), label='Recon plume')\n",
+    "plt.plot(x, raw_plume['plume'][0]/max(raw_plume['plume'][0]), label='Plume')\n",
+    "plt.ylabel('Flow (normalised)')\n",
+    "plt.title('Plume vs reconstructed plume')\n",
+    "plt.xlabel('Time (s)')\n",
+    "plt.legend()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "526552\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0xb3bda1128>"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plume_start = plume_starts[1]\n",
+    "plume_end = plume_start + 50000\n",
+    "print(plume_start)\n",
+    "\n",
+    "plt.plot(x, flow_plumes_only[plume_start:plume_end]/max(flow_plumes_only[plume_start:plume_end]), label='anitRecon plume')\n",
+    "plt.plot(x, 1-(raw_plume['plume'][0]/max(raw_plume['plume'][0])), label='antiPlume')\n",
+    "plt.ylabel('Flow (normalised)')\n",
+    "plt.title('Anti Plume vs reconstructed anit plume')\n",
+    "plt.xlabel('Time (s)')\n",
+    "plt.legend()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "777451\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0xb3c8131d0>"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plume_start = plume_starts[2]\n",
+    "plume_end = plume_start + 50000\n",
+    "print(plume_start)\n",
+    "\n",
+    "plt.plot(x, flow_plumes_only[plume_start:plume_end]/max(flow_plumes_only[plume_start:plume_end]), label='anitRecon plume')\n",
+    "plt.ylabel('Flow (normalised)')\n",
+    "plt.title('Combined anti and plume')\n",
+    "plt.xlabel('Time (s)')\n",
+    "plt.legend()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Now repeating the same analysis but with repeats of plumes, and across all channels\n",
+    "-  10 different plumes\n",
+    "-  Order:\n",
+    "    1. Ch1 Plume\n",
+    "    2. Ch2 Plume\n",
+    "    3. Ch3 Plume\n",
+    "    4. Ch4 Plume\n",
+    "    5. Ch1 plume - Ch2 anti plume\n",
+    "    6. Ch3 Plume - Ch4 anti plume\n",
+    "    7. Ch4 anti plume\n",
+    "    8. Ch3 Anti plume\n",
+    "    9. Ch2 Anti plume\n",
+    "    10. Ch1 Anti plume\n",
+    "-  3 Repeats"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "flowmeter = sio.loadmat('/Volumes/lab-schaefera/working/warnert/Recordings/Set up recordings/190118/flowmeter_plumes_longer_all_chans.mat')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "__header__\n",
+      "__version__\n",
+      "__globals__\n",
+      "flowmeter_plumes_longer_all_chans_Keyboard\n",
+      "flowmeter_plumes_longer_all_chans_Ch4\n",
+      "flowmeter_plumes_longer_all_chans_Ch3\n",
+      "flowmeter_plumes_longer_all_chans_Ch2\n",
+      "flowmeter_plumes_longer_all_chans_Ch1\n",
+      "flowmeter_plumes_longer_all_chans_Flowmete\n"
+     ]
+    }
+   ],
+   "source": [
+    "for i in flowmeter:\n",
+    "    print(i)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "flow = flowmeter['flowmeter_plumes_longer_all_chans_Flowmete'][0][0][-1]\n",
+    "ch1 = flowmeter['flowmeter_plumes_longer_all_chans_Ch1'][0][0][-1]\n",
+    "ch2 = flowmeter['flowmeter_plumes_longer_all_chans_Ch2'][0][0][-1]\n",
+    "ch3 = flowmeter['flowmeter_plumes_longer_all_chans_Ch3'][0][0][-1]\n",
+    "ch4 = flowmeter['flowmeter_plumes_longer_all_chans_Ch4'][0][0][-1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "push = lambda a: 1 if a > 1 else 0\n",
+    "ch1 = [push(i) for i in ch1]\n",
+    "ch2 = [push(i) for i in ch2]\n",
+    "ch3 = [push(i) for i in ch3]\n",
+    "ch4 = [push(i) for i in ch4]\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mix = [i+j+k+l for i, j, k, l in zip(ch1, ch2, ch3, ch4)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x10fa560b8>]"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(5, 1)\n",
+    "ax[0].plot(ch1)\n",
+    "ax[1].plot(ch2)\n",
+    "ax[2].plot(ch3)\n",
+    "ax[3].plot(ch4)\n",
+    "ax[4].plot(mix)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plume_starts = []\n",
+    "prev_plume = 0\n",
+    "for index, i in enumerate(mix):\n",
+    "    if i > 0 and index-prev_plume > 50000:\n",
+    "        plume_starts.append(index)\n",
+    "        prev_plume = index"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "30\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(len(plume_starts))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "baseline= np.mean(flow[:plume_starts[0]])\n",
+    "flow_baselined = [i-baseline for i in flow]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0xbe2772320>]"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(flow_baselined)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\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('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",
+       "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 = $('<div/>');\n",
+       "    this._root_extra_style(this.root)\n",
+       "    this.root.attr('style', 'display: inline-block');\n",
+       "\n",
+       "    $(parent_element).append(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen =  function () {\n",
+       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+       "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
+       "            fig.send_message(\"refresh\", {});\n",
+       "        }\n",
+       "\n",
+       "    this.imageObj.onload = function() {\n",
+       "            if (fig.image_mode == 'full') {\n",
+       "                // Full images could contain transparency (where diff images\n",
+       "                // almost always do), so we need to clear the canvas so that\n",
+       "                // there is no ghosting.\n",
+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "            }\n",
+       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "        };\n",
+       "\n",
+       "    this.imageObj.onunload = function() {\n",
+       "        fig.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\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",
+       "\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",
+       "\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]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\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",
+       "    {\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.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",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\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",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\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",
+       "    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",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\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",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\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,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"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\";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 = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\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.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('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",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\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",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        event.shiftKey = false;\n",
+       "        // Send a \"J\" for go to next cell\n",
+       "        event.which = 74;\n",
+       "        event.keyCode = 74;\n",
+       "        manager.command_mode();\n",
+       "        manager.handle_keydown(event);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\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('matplotlib', mpl.mpl_figure_comm);\n",
+       "}\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<img 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\" width=\"639.9999861283738\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.0\n",
+      "0.0\n",
+      "0.0\n",
+      "0.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(5, 1, sharex=True)\n",
+    "avg_chans = []\n",
+    "for i in range(4):\n",
+    "    chn_starts = plume_starts[i::10]\n",
+    "    avg_chan = np.zeros(50000,)\n",
+    "    print(avg_chan[0])\n",
+    "    for j in chn_starts:\n",
+    "        ax[i].plot(flow_baselined[j:j+50000], color='gray')\n",
+    "        avg_chan = [i[0]+j for i, j in zip(flow_baselined[j:j+50000], avg_chan)]\n",
+    "    avg_chan= [i/len(chn_starts) for i in avg_chan]\n",
+    "    ax[i].plot(avg_chan)\n",
+    "    ax[4].plot(avg_chan)\n",
+    "    avg_chans.append(avg_chan)\n",
+    "ax[0].set_title('Channel plumes')\n",
+    "ax[4].set_title('Avg plumes')\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\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('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",
+       "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 = $('<div/>');\n",
+       "    this._root_extra_style(this.root)\n",
+       "    this.root.attr('style', 'display: inline-block');\n",
+       "\n",
+       "    $(parent_element).append(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen =  function () {\n",
+       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+       "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
+       "            fig.send_message(\"refresh\", {});\n",
+       "        }\n",
+       "\n",
+       "    this.imageObj.onload = function() {\n",
+       "            if (fig.image_mode == 'full') {\n",
+       "                // Full images could contain transparency (where diff images\n",
+       "                // almost always do), so we need to clear the canvas so that\n",
+       "                // there is no ghosting.\n",
+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "            }\n",
+       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "        };\n",
+       "\n",
+       "    this.imageObj.onunload = function() {\n",
+       "        fig.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\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",
+       "\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",
+       "\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]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\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",
+       "    {\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.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",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\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",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\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",
+       "    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",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\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",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\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,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"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\";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 = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\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.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('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",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\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",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        event.shiftKey = false;\n",
+       "        // Send a \"J\" for go to next cell\n",
+       "        event.which = 74;\n",
+       "        event.keyCode = 74;\n",
+       "        manager.command_mode();\n",
+       "        manager.handle_keydown(event);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\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('matplotlib', mpl.mpl_figure_comm);\n",
+       "}\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
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\" width=\"639.9999861283738\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(raw_plume['plume'][0]/max(raw_plume['plume'][0]))\n",
+    "for i in avg_chans:\n",
+    "    plt.plot(i/max(i))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\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('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",
+       "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 = $('<div/>');\n",
+       "    this._root_extra_style(this.root)\n",
+       "    this.root.attr('style', 'display: inline-block');\n",
+       "\n",
+       "    $(parent_element).append(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen =  function () {\n",
+       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+       "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
+       "            fig.send_message(\"refresh\", {});\n",
+       "        }\n",
+       "\n",
+       "    this.imageObj.onload = function() {\n",
+       "            if (fig.image_mode == 'full') {\n",
+       "                // Full images could contain transparency (where diff images\n",
+       "                // almost always do), so we need to clear the canvas so that\n",
+       "                // there is no ghosting.\n",
+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "            }\n",
+       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "        };\n",
+       "\n",
+       "    this.imageObj.onunload = function() {\n",
+       "        fig.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\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",
+       "\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",
+       "\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]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\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",
+       "    {\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.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",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\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",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\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",
+       "    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",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\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",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\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,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"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\";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 = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\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.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('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",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\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",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        event.shiftKey = false;\n",
+       "        // Send a \"J\" for go to next cell\n",
+       "        event.which = 74;\n",
+       "        event.keyCode = 74;\n",
+       "        manager.command_mode();\n",
+       "        manager.handle_keydown(event);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\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('matplotlib', mpl.mpl_figure_comm);\n",
+       "}\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
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\" width=\"639.9999861283738\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.0\n",
+      "0.0\n",
+      "0.0\n",
+      "0.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(5, 1, sharex=True)\n",
+    "avg_anti_chans = []\n",
+    "for i in range(4):\n",
+    "    chn_starts = plume_starts[i+6::10]\n",
+    "    avg_chan = np.zeros(50000,)\n",
+    "    print(avg_chan[0])\n",
+    "    for j in chn_starts:\n",
+    "        ax[i].plot(flow_baselined[j:j+50000], color='gray')\n",
+    "        avg_chan = [i[0]+j for i, j in zip(flow_baselined[j:j+50000], avg_chan)]\n",
+    "    avg_chan= [i/len(chn_starts) for i in avg_chan]\n",
+    "    ax[i].plot(avg_chan)\n",
+    "    ax[4].plot(avg_chan)\n",
+    "    avg_anti_chans.append(avg_chan)\n",
+    "ax[0].set_title('Channel anti plumes')\n",
+    "ax[4].set_title('Avg anti plumes')\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 87,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\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('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",
+       "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 = $('<div/>');\n",
+       "    this._root_extra_style(this.root)\n",
+       "    this.root.attr('style', 'display: inline-block');\n",
+       "\n",
+       "    $(parent_element).append(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen =  function () {\n",
+       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+       "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
+       "            fig.send_message(\"refresh\", {});\n",
+       "        }\n",
+       "\n",
+       "    this.imageObj.onload = function() {\n",
+       "            if (fig.image_mode == 'full') {\n",
+       "                // Full images could contain transparency (where diff images\n",
+       "                // almost always do), so we need to clear the canvas so that\n",
+       "                // there is no ghosting.\n",
+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "            }\n",
+       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "        };\n",
+       "\n",
+       "    this.imageObj.onunload = function() {\n",
+       "        fig.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\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",
+       "\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",
+       "\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]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\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",
+       "    {\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.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",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\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",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\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",
+       "    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",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\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",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\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,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"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\";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 = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\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.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('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",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\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",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        event.shiftKey = false;\n",
+       "        // Send a \"J\" for go to next cell\n",
+       "        event.which = 74;\n",
+       "        event.keyCode = 74;\n",
+       "        manager.command_mode();\n",
+       "        manager.handle_keydown(event);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\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('matplotlib', mpl.mpl_figure_comm);\n",
+       "}\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<img 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\" width=\"639.9999861283738\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(1-(raw_plume['plume'][0]/max(raw_plume['plume'][0])))\n",
+    "for i in avg_anti_chans:\n",
+    "    plt.plot(i/max(i))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 93,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "window.mpl = {};\n",
+       "\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('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",
+       "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 = $('<div/>');\n",
+       "    this._root_extra_style(this.root)\n",
+       "    this.root.attr('style', 'display: inline-block');\n",
+       "\n",
+       "    $(parent_element).append(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen =  function () {\n",
+       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
+       "            fig.send_message(\"send_image_mode\", {});\n",
+       "            if (mpl.ratio != 1) {\n",
+       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
+       "            }\n",
+       "            fig.send_message(\"refresh\", {});\n",
+       "        }\n",
+       "\n",
+       "    this.imageObj.onload = function() {\n",
+       "            if (fig.image_mode == 'full') {\n",
+       "                // Full images could contain transparency (where diff images\n",
+       "                // almost always do), so we need to clear the canvas so that\n",
+       "                // there is no ghosting.\n",
+       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
+       "            }\n",
+       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
+       "        };\n",
+       "\n",
+       "    this.imageObj.onunload = function() {\n",
+       "        fig.ws.close();\n",
+       "    }\n",
+       "\n",
+       "    this.ws.onmessage = this._make_on_message_function(this);\n",
+       "\n",
+       "    this.ondownload = ondownload;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_header = function() {\n",
+       "    var titlebar = $(\n",
+       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
+       "        'ui-helper-clearfix\"/>');\n",
+       "    var titletext = $(\n",
+       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
+       "        'text-align: center; padding: 3px;\"/>');\n",
+       "    titlebar.append(titletext)\n",
+       "    this.root.append(titlebar);\n",
+       "    this.header = titletext[0];\n",
+       "}\n",
+       "\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
+       "\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_canvas = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var canvas_div = $('<div/>');\n",
+       "\n",
+       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
+       "\n",
+       "    function canvas_keyboard_event(event) {\n",
+       "        return fig.key_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
+       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
+       "    this.canvas_div = canvas_div\n",
+       "    this._canvas_extra_style(canvas_div)\n",
+       "    this.root.append(canvas_div);\n",
+       "\n",
+       "    var canvas = $('<canvas/>');\n",
+       "    canvas.addClass('mpl-canvas');\n",
+       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
+       "\n",
+       "    this.canvas = canvas[0];\n",
+       "    this.context = canvas[0].getContext(\"2d\");\n",
+       "\n",
+       "    var backingStore = this.context.backingStorePixelRatio ||\n",
+       "\tthis.context.webkitBackingStorePixelRatio ||\n",
+       "\tthis.context.mozBackingStorePixelRatio ||\n",
+       "\tthis.context.msBackingStorePixelRatio ||\n",
+       "\tthis.context.oBackingStorePixelRatio ||\n",
+       "\tthis.context.backingStorePixelRatio || 1;\n",
+       "\n",
+       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
+       "\n",
+       "    var rubberband = $('<canvas/>');\n",
+       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
+       "\n",
+       "    var pass_mouse_events = true;\n",
+       "\n",
+       "    canvas_div.resizable({\n",
+       "        start: function(event, ui) {\n",
+       "            pass_mouse_events = false;\n",
+       "        },\n",
+       "        resize: function(event, ui) {\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "        stop: function(event, ui) {\n",
+       "            pass_mouse_events = true;\n",
+       "            fig.request_resize(ui.size.width, ui.size.height);\n",
+       "        },\n",
+       "    });\n",
+       "\n",
+       "    function mouse_event_fn(event) {\n",
+       "        if (pass_mouse_events)\n",
+       "            return fig.mouse_event(event, event['data']);\n",
+       "    }\n",
+       "\n",
+       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
+       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
+       "\n",
+       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
+       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
+       "\n",
+       "    canvas_div.on(\"wheel\", function (event) {\n",
+       "        event = event.originalEvent;\n",
+       "        event['data'] = 'scroll'\n",
+       "        if (event.deltaY < 0) {\n",
+       "            event.step = 1;\n",
+       "        } else {\n",
+       "            event.step = -1;\n",
+       "        }\n",
+       "        mouse_event_fn(event);\n",
+       "    });\n",
+       "\n",
+       "    canvas_div.append(canvas);\n",
+       "    canvas_div.append(rubberband);\n",
+       "\n",
+       "    this.rubberband = rubberband;\n",
+       "    this.rubberband_canvas = rubberband[0];\n",
+       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
+       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
+       "\n",
+       "    this._resize_canvas = function(width, height) {\n",
+       "        // Keep the size of the canvas, canvas container, and rubber band\n",
+       "        // canvas in synch.\n",
+       "        canvas_div.css('width', width)\n",
+       "        canvas_div.css('height', height)\n",
+       "\n",
+       "        canvas.attr('width', width * mpl.ratio);\n",
+       "        canvas.attr('height', height * mpl.ratio);\n",
+       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
+       "\n",
+       "        rubberband.attr('width', width);\n",
+       "        rubberband.attr('height', height);\n",
+       "    }\n",
+       "\n",
+       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
+       "    // upon first draw.\n",
+       "    this._resize_canvas(600, 600);\n",
+       "\n",
+       "    // Disable right mouse context menu.\n",
+       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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",
+       "            // put a spacer in here.\n",
+       "            continue;\n",
+       "        }\n",
+       "        var button = $('<button/>');\n",
+       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
+       "                        'ui-button-icon-only');\n",
+       "        button.attr('role', 'button');\n",
+       "        button.attr('aria-disabled', 'false');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "\n",
+       "        var icon_img = $('<span/>');\n",
+       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
+       "        icon_img.addClass(image);\n",
+       "        icon_img.addClass('ui-corner-all');\n",
+       "\n",
+       "        var tooltip_span = $('<span/>');\n",
+       "        tooltip_span.addClass('ui-button-text');\n",
+       "        tooltip_span.html(tooltip);\n",
+       "\n",
+       "        button.append(icon_img);\n",
+       "        button.append(tooltip_span);\n",
+       "\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    var fmt_picker_span = $('<span/>');\n",
+       "\n",
+       "    var fmt_picker = $('<select/>');\n",
+       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
+       "    fmt_picker_span.append(fmt_picker);\n",
+       "    nav_element.append(fmt_picker_span);\n",
+       "    this.format_dropdown = fmt_picker[0];\n",
+       "\n",
+       "    for (var ind in mpl.extensions) {\n",
+       "        var fmt = mpl.extensions[ind];\n",
+       "        var option = $(\n",
+       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
+       "        fmt_picker.append(option)\n",
+       "    }\n",
+       "\n",
+       "    // Add hover states to the ui-buttons\n",
+       "    $( \".ui-button\" ).hover(\n",
+       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
+       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
+       "    );\n",
+       "\n",
+       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\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",
+       "\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",
+       "\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]);\n",
+       "        fig.send_message(\"refresh\", {});\n",
+       "    };\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
+       "    var x0 = msg['x0'] / mpl.ratio;\n",
+       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
+       "    var x1 = msg['x1'] / mpl.ratio;\n",
+       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
+       "    x0 = Math.floor(x0) + 0.5;\n",
+       "    y0 = Math.floor(y0) + 0.5;\n",
+       "    x1 = Math.floor(x1) + 0.5;\n",
+       "    y1 = Math.floor(y1) + 0.5;\n",
+       "    var min_x = Math.min(x0, x1);\n",
+       "    var min_y = Math.min(y0, y1);\n",
+       "    var width = Math.abs(x1 - x0);\n",
+       "    var height = Math.abs(y1 - y0);\n",
+       "\n",
+       "    fig.rubberband_context.clearRect(\n",
+       "        0, 0, fig.canvas.width, fig.canvas.height);\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",
+       "    {\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.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",
+       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
+       "                evt.data);\n",
+       "            fig.updated_canvas_event();\n",
+       "            fig.waiting = false;\n",
+       "            return;\n",
+       "        }\n",
+       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\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",
+       "    if (e.target)\n",
+       "        targ = e.target;\n",
+       "    else if (e.srcElement)\n",
+       "        targ = e.srcElement;\n",
+       "    if (targ.nodeType == 3) // defeat Safari bug\n",
+       "        targ = targ.parentNode;\n",
+       "\n",
+       "    // jQuery normalizes the pageX and pageY\n",
+       "    // pageX,Y are the mouse positions relative to the document\n",
+       "    // offset() returns the position of the element relative to the document\n",
+       "    var x = e.pageX - $(targ).offset().left;\n",
+       "    var y = e.pageY - $(targ).offset().top;\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",
+       "    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",
+       "    {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    var x = canvas_pos.x * mpl.ratio;\n",
+       "    var y = canvas_pos.y * mpl.ratio;\n",
+       "\n",
+       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
+       "                             step: event.step,\n",
+       "                             guiEvent: simpleKeys(event)});\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",
+       "\n",
+       "    // Prevent repeat events\n",
+       "    if (name == 'key_press')\n",
+       "    {\n",
+       "        if (event.which === this._key)\n",
+       "            return;\n",
+       "        else\n",
+       "            this._key = event.which;\n",
+       "    }\n",
+       "    if (name == 'key_release')\n",
+       "        this._key = null;\n",
+       "\n",
+       "    var value = '';\n",
+       "    if (event.ctrlKey && event.which != 17)\n",
+       "        value += \"ctrl+\";\n",
+       "    if (event.altKey && event.which != 18)\n",
+       "        value += \"alt+\";\n",
+       "    if (event.shiftKey && event.which != 16)\n",
+       "        value += \"shift+\";\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,\n",
+       "                             guiEvent: simpleKeys(event)});\n",
+       "    return false;\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
+       "    if (name == 'download') {\n",
+       "        this.handle_save(this, null);\n",
+       "    } else {\n",
+       "        this.send_message(\"toolbar_button\", {name: name});\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
+       "    this.message.textContent = tooltip;\n",
+       "};\n",
+       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"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\";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 = $(\"#\" + id);\n",
+       "    var ws_proxy = comm_websocket_adapter(comm)\n",
+       "\n",
+       "    function ondownload(figure, format) {\n",
+       "        window.open(figure.imageObj.src);\n",
+       "    }\n",
+       "\n",
+       "    var fig = new mpl.figure(id, ws_proxy,\n",
+       "                           ondownload,\n",
+       "                           element.get(0));\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.get(0);\n",
+       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
+       "    if (!fig.cell_info) {\n",
+       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
+       "        return;\n",
+       "    }\n",
+       "\n",
+       "    var output_index = fig.cell_info[2]\n",
+       "    var cell = fig.cell_info[0];\n",
+       "\n",
+       "};\n",
+       "\n",
+       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
+       "    var width = fig.canvas.width/mpl.ratio\n",
+       "    fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
+       "    fig.close_ws(fig, msg);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
+       "    fig.send_message('closing', msg);\n",
+       "    // fig.ws.close()\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
+       "    // Turn the data on the canvas into data in the output cell.\n",
+       "    var width = this.canvas.width/mpl.ratio\n",
+       "    var dataURL = this.canvas.toDataURL();\n",
+       "    this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._init_toolbar = function() {\n",
+       "    var fig = this;\n",
+       "\n",
+       "    var nav_element = $('<div/>')\n",
+       "    nav_element.attr('style', 'width: 100%');\n",
+       "    this.root.append(nav_element);\n",
+       "\n",
+       "    // Define a callback function for later on.\n",
+       "    function toolbar_event(event) {\n",
+       "        return fig.toolbar_button_onclick(event['data']);\n",
+       "    }\n",
+       "    function toolbar_mouse_event(event) {\n",
+       "        return fig.toolbar_button_onmouseover(event['data']);\n",
+       "    }\n",
+       "\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) { continue; };\n",
+       "\n",
+       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
+       "        button.click(method_name, toolbar_event);\n",
+       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
+       "        nav_element.append(button);\n",
+       "    }\n",
+       "\n",
+       "    // Add the status bar.\n",
+       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
+       "    nav_element.append(status_bar);\n",
+       "    this.message = status_bar[0];\n",
+       "\n",
+       "    // Add the close button to the window.\n",
+       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
+       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
+       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
+       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
+       "    buttongrp.append(button);\n",
+       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
+       "    titlebar.prepend(buttongrp);\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._root_extra_style = function(el){\n",
+       "    var fig = this\n",
+       "    el.on(\"remove\", function(){\n",
+       "\tfig.close_ws(fig, {});\n",
+       "    });\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
+       "    // this is important to make the div 'focusable\n",
+       "    el.attr('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",
+       "    }\n",
+       "    else {\n",
+       "        // location in version 2\n",
+       "        IPython.keyboard_manager.register_events(el);\n",
+       "    }\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",
+       "    // Check for shift+enter\n",
+       "    if (event.shiftKey && event.which == 13) {\n",
+       "        this.canvas_div.blur();\n",
+       "        event.shiftKey = false;\n",
+       "        // Send a \"J\" for go to next cell\n",
+       "        event.which = 74;\n",
+       "        event.keyCode = 74;\n",
+       "        manager.command_mode();\n",
+       "        manager.handle_keydown(event);\n",
+       "    }\n",
+       "}\n",
+       "\n",
+       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
+       "    fig.ondownload(fig, null);\n",
+       "}\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('matplotlib', mpl.mpl_figure_comm);\n",
+       "}\n"
+      ],
+      "text/plain": [
+       "<IPython.core.display.Javascript object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
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\" width=\"639.9999861283738\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for i, j in zip(avg_chans, avg_anti_chans):\n",
+    "    med_i = np.median(i)\n",
+    "    plt.plot(i/med_i, color='r')\n",
+    "    med_j = np.median(j)\n",
+    "    plt.plot([1-k/med_j for k in j], color='b')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[-0.00557857 -0.00369847 -0.00447263 ...  0.29747743  0.29769862\n",
+      "  0.2979751 ]\n",
+      "50000\n",
+      "[-0.00206818 -0.00280337 -0.00348605 ...  0.20105517  0.2007926\n",
+      "  0.20066131]\n",
+      "50000\n",
+      "[-0.00440357 -0.00531314 -0.00597464 ...  0.18897464  0.19470763\n",
+      "  0.19377051]\n",
+      "50000\n",
+      "[-0.0024581  -0.00346786 -0.00424003 ...  0.2280057   0.22750081\n",
+      "  0.22681774]\n",
+      "50000\n"
+     ]
+    }
+   ],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "4\n"
+     ]
+    }
+   ],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/README.md b/README.md
index 43b6afd..e69de29 100644
--- a/README.md
+++ b/README.md
@@ -1,2 +0,0 @@
-# PulseBoy
-GUI tool for controlling NI pulse trains
diff --git a/TestData/2_binary_pulses.trialbank b/TestData/2_binary_pulses.trialbank
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diff --git a/TestData/test.npy b/TestData/test.npy
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diff --git a/TestData/testbinarytrialbank.trialbank b/TestData/testbinarytrialbank.trialbank
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diff --git a/TestData/testbinarytrialbank_0.005_bin_size_10_bin.trialbank b/TestData/testbinarytrialbank_0.005_bin_size_10_bin.trialbank
new file mode 100644
index 0000000..3dbc4a4
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diff --git a/TestData/testbinarytrialbank_no_onsets.trialbank b/TestData/testbinarytrialbank_no_onsets.trialbank
new file mode 100644
index 0000000..cedd434
Binary files /dev/null and b/TestData/testbinarytrialbank_no_onsets.trialbank differ
diff --git a/TestData/testbinarytrialbank_no_onsets2.trialbank b/TestData/testbinarytrialbank_no_onsets2.trialbank
new file mode 100644
index 0000000..eb727b2
Binary files /dev/null and b/TestData/testbinarytrialbank_no_onsets2.trialbank differ
diff --git a/TestData/testbinarytrialbank_no_onsets3.trialbank b/TestData/testbinarytrialbank_no_onsets3.trialbank
new file mode 100644
index 0000000..08c14c2
Binary files /dev/null and b/TestData/testbinarytrialbank_no_onsets3.trialbank differ
diff --git a/TestData/testbinarytrialbank_shatter_small_onset.trialbank b/TestData/testbinarytrialbank_shatter_small_onset.trialbank
new file mode 100644
index 0000000..6760aae
Binary files /dev/null and b/TestData/testbinarytrialbank_shatter_small_onset.trialbank differ
diff --git a/TestData/testbinarytrialbank_shatter_small_onset_0.005_bin_size.trialbank b/TestData/testbinarytrialbank_shatter_small_onset_0.005_bin_size.trialbank
new file mode 100644
index 0000000..31c1435
Binary files /dev/null and b/TestData/testbinarytrialbank_shatter_small_onset_0.005_bin_size.trialbank differ
diff --git a/TestData/testbinarytrialbank_shatter_small_onset_indicator_chan.trialbank b/TestData/testbinarytrialbank_shatter_small_onset_indicator_chan.trialbank
new file mode 100644
index 0000000..5714e6f
Binary files /dev/null and b/TestData/testbinarytrialbank_shatter_small_onset_indicator_chan.trialbank differ
diff --git a/TestData/testbinarytrialbank_small_onset.trialbank b/TestData/testbinarytrialbank_small_onset.trialbank
new file mode 100644
index 0000000..9b21126
Binary files /dev/null and b/TestData/testbinarytrialbank_small_onset.trialbank differ
diff --git a/UI/BinaryValveWidget.ui b/UI/BinaryValveWidget.ui
new file mode 100644
index 0000000..d5898d9
--- /dev/null
+++ b/UI/BinaryValveWidget.ui
@@ -0,0 +1,161 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<ui version="4.0">
+ <class>Form</class>
+ <widget class="QWidget" name="Form">
+  <property name="geometry">
+   <rect>
+    <x>0</x>
+    <y>0</y>
+    <width>905</width>
+    <height>113</height>
+   </rect>
+  </property>
+  <property name="sizePolicy">
+   <sizepolicy hsizetype="Preferred" vsizetype="Preferred">
+    <horstretch>0</horstretch>
+    <verstretch>0</verstretch>
+   </sizepolicy>
+  </property>
+  <property name="font">
+   <font>
+    <family>Lucida Console</family>
+   </font>
+  </property>
+  <property name="windowTitle">
+   <string>Form</string>
+  </property>
+  <layout class="QGridLayout" name="gridLayout">
+   <item row="2" column="1">
+    <widget class="QLabel" name="label_2">
+     <property name="text">
+      <string>Offset</string>
+     </property>
+    </widget>
+   </item>
+   <item row="3" column="3">
+    <widget class="QLineEdit" name="binsizeEdit">
+     <property name="text">
+      <string>0.05</string>
+     </property>
+    </widget>
+   </item>
+   <item row="1" column="6">
+    <widget class="QCheckBox" name="shatterBox">
+     <property name="text">
+      <string>Shatter Pulse</string>
+     </property>
+     <property name="checked">
+      <bool>true</bool>
+     </property>
+    </widget>
+   </item>
+   <item row="2" column="3">
+    <widget class="QLabel" name="label_5">
+     <property name="text">
+      <string>Bin size</string>
+     </property>
+    </widget>
+   </item>
+   <item row="1" column="3">
+    <widget class="QLineEdit" name="numofbinsEdit">
+     <property name="text">
+      <string>8</string>
+     </property>
+    </widget>
+   </item>
+   <item row="0" column="3">
+    <widget class="QLabel" name="label_4">
+     <property name="text">
+      <string>Number of bins</string>
+     </property>
+    </widget>
+   </item>
+   <item row="0" column="0">
+    <widget class="QLabel" name="position">
+     <property name="text">
+      <string>1</string>
+     </property>
+    </widget>
+   </item>
+   <item row="1" column="5">
+    <widget class="QLineEdit" name="valuetobinariseEdit">
+     <property name="text">
+      <string>2</string>
+     </property>
+    </widget>
+   </item>
+   <item row="1" column="1">
+    <widget class="QLineEdit" name="onsetEdit">
+     <property name="text">
+      <string>0.1</string>
+     </property>
+    </widget>
+   </item>
+   <item row="3" column="1">
+    <widget class="QLineEdit" name="offsetEdit">
+     <property name="text">
+      <string>0.1</string>
+     </property>
+    </widget>
+   </item>
+   <item row="1" column="0">
+    <widget class="QToolButton" name="removeButton">
+     <property name="text">
+      <string>-</string>
+     </property>
+    </widget>
+   </item>
+   <item row="1" column="7">
+    <widget class="QLineEdit" name="shatterEdit">
+     <property name="text">
+      <string>500</string>
+     </property>
+    </widget>
+   </item>
+   <item row="0" column="5">
+    <widget class="QLabel" name="label_3">
+     <property name="text">
+      <string>Value to binarise</string>
+     </property>
+    </widget>
+   </item>
+   <item row="0" column="1">
+    <widget class="QLabel" name="label">
+     <property name="text">
+      <string>Onset</string>
+     </property>
+    </widget>
+   </item>
+   <item row="0" column="7">
+    <widget class="QLabel" name="label_6">
+     <property name="text">
+      <string>Shatter (Hz)</string>
+     </property>
+    </widget>
+   </item>
+   <item row="4" column="1" colspan="7">
+    <widget class="Line" name="line_2">
+     <property name="orientation">
+      <enum>Qt::Horizontal</enum>
+     </property>
+    </widget>
+   </item>
+   <item row="3" column="7">
+    <widget class="QLineEdit" name="shatterDutyEdit">
+     <property name="text">
+      <string>0.5</string>
+     </property>
+    </widget>
+   </item>
+   <item row="2" column="7">
+    <widget class="QLabel" name="label_7">
+     <property name="text">
+      <string>Shatter Duty</string>
+     </property>
+    </widget>
+   </item>
+  </layout>
+ </widget>
+ <resources/>
+ <connections/>
+</ui>
diff --git a/UI/NoiseValveWidget.ui b/UI/NoiseValveWidget.ui
index c2e187e..7ac3f7c 100644
--- a/UI/NoiseValveWidget.ui
+++ b/UI/NoiseValveWidget.ui
@@ -6,7 +6,7 @@
    <rect>
     <x>0</x>
     <y>0</y>
-    <width>667</width>
+    <width>681</width>
     <height>76</height>
    </rect>
   </property>
@@ -177,6 +177,13 @@
      </property>
     </widget>
    </item>
+   <item row="0" column="0">
+    <widget class="QLabel" name="position">
+     <property name="text">
+      <string>1</string>
+     </property>
+    </widget>
+   </item>
   </layout>
  </widget>
  <resources/>
diff --git a/UI/PlumeValveWidget.ui b/UI/PlumeValveWidget.ui
index 72be836..434b8c3 100644
--- a/UI/PlumeValveWidget.ui
+++ b/UI/PlumeValveWidget.ui
@@ -26,100 +26,107 @@
   </property>
   <layout class="QGridLayout" name="gridLayout">
    <item row="1" column="5">
-    <widget class="QLineEdit" name="dataSamplingRateEdit">
+    <widget class="QLabel" name="plumeDataLabel">
      <property name="text">
-      <string>10000</string>
+      <string>-</string>
      </property>
     </widget>
    </item>
-   <item row="1" column="1">
-    <widget class="QLineEdit" name="onsetEdit">
+   <item row="0" column="6">
+    <widget class="QLabel" name="label_5">
      <property name="text">
-      <string>0.1</string>
+      <string>Data Sampling Rate</string>
      </property>
     </widget>
    </item>
-   <item row="0" column="2">
+   <item row="1" column="7">
+    <widget class="QLineEdit" name="targetMaxEdit">
+     <property name="text">
+      <string>1.0</string>
+     </property>
+    </widget>
+   </item>
+   <item row="2" column="2" colspan="6">
+    <widget class="Line" name="line_2">
+     <property name="orientation">
+      <enum>Qt::Horizontal</enum>
+     </property>
+    </widget>
+   </item>
+   <item row="0" column="3">
     <widget class="QLabel" name="label_2">
      <property name="text">
       <string>Offset</string>
      </property>
     </widget>
    </item>
-   <item row="0" column="1">
-    <widget class="QLabel" name="label">
+   <item row="0" column="7">
+    <widget class="QLabel" name="label_3">
      <property name="text">
-      <string>Onset</string>
+      <string>Target Max.</string>
      </property>
     </widget>
    </item>
-   <item row="1" column="2">
+   <item row="1" column="3">
     <widget class="QLineEdit" name="offsetEdit">
      <property name="text">
       <string>0.1</string>
      </property>
     </widget>
    </item>
-   <item row="0" column="3">
-    <widget class="QLabel" name="label_8">
+   <item row="1" column="2">
+    <widget class="QLineEdit" name="onsetEdit">
      <property name="text">
-      <string>Shatter (Hz)</string>
+      <string>0.1</string>
      </property>
     </widget>
    </item>
-   <item row="1" column="3">
-    <widget class="QLineEdit" name="shatterHzEdit">
+   <item row="0" column="2">
+    <widget class="QLabel" name="label">
      <property name="text">
-      <string>500</string>
+      <string>Onset</string>
      </property>
     </widget>
    </item>
-   <item row="1" column="0">
-    <widget class="QToolButton" name="removeButton">
+   <item row="1" column="6">
+    <widget class="QLineEdit" name="dataSamplingRateEdit">
      <property name="text">
-      <string>-</string>
+      <string>10000</string>
      </property>
     </widget>
    </item>
    <item row="0" column="4">
-    <widget class="QPushButton" name="openPlumeDataButton">
+    <widget class="QLabel" name="label_8">
      <property name="text">
-      <string>Open Plume Data</string>
+      <string>Shatter (Hz)</string>
      </property>
     </widget>
    </item>
-   <item row="1" column="4">
-    <widget class="QLabel" name="plumeDataLabel">
+   <item row="1" column="0">
+    <widget class="QToolButton" name="removeButton">
      <property name="text">
       <string>-</string>
      </property>
     </widget>
    </item>
-   <item row="0" column="5">
-    <widget class="QLabel" name="label_5">
+   <item row="1" column="4">
+    <widget class="QLineEdit" name="shatterHzEdit">
      <property name="text">
-      <string>Data Sampling Rate</string>
+      <string>500</string>
      </property>
     </widget>
    </item>
-   <item row="1" column="6">
-    <widget class="QLineEdit" name="targetMaxEdit">
+   <item row="0" column="5">
+    <widget class="QPushButton" name="openPlumeDataButton">
      <property name="text">
-      <string>1.0</string>
+      <string>Open Plume Data</string>
      </property>
     </widget>
    </item>
-   <item row="0" column="6">
-    <widget class="QLabel" name="label_3">
+   <item row="0" column="0">
+    <widget class="QLabel" name="position">
      <property name="text">
-      <string>Target Max.</string>
-     </property>
-    </widget>
-   </item>
-   <item row="2" column="1" colspan="6">
-    <widget class="Line" name="line_2">
-     <property name="orientation">
-      <enum>Qt::Horizontal</enum>
+      <string>1</string>
      </property>
     </widget>
    </item>
diff --git a/UI/PulseBoyUI_v2.py b/UI/PulseBoyUI_v2.py
new file mode 100644
index 0000000..f28308d
--- /dev/null
+++ b/UI/PulseBoyUI_v2.py
@@ -0,0 +1,513 @@
+# -*- coding: utf-8 -*-
+
+# Form implementation generated from reading ui file 'PulseBoyUI_v2.ui'
+#
+# Created by: PyQt5 UI code generator 5.9
+#
+# WARNING! All changes made in this file will be lost!
+
+from PyQt5 import QtCore, QtGui, QtWidgets
+
+class Ui_MainWindow(object):
+    def setupUi(self, MainWindow):
+        MainWindow.setObjectName("MainWindow")
+        MainWindow.resize(1229, 809)
+        self.centralwidget = QtWidgets.QWidget(MainWindow)
+        self.centralwidget.setObjectName("centralwidget")
+        self.gridLayout = QtWidgets.QGridLayout(self.centralwidget)
+        self.gridLayout.setObjectName("gridLayout")
+        self.label = QtWidgets.QLabel(self.centralwidget)
+        font = QtGui.QFont()
+        font.setFamily("Lucida Console")
+        font.setPointSize(12)
+        font.setBold(True)
+        font.setWeight(75)
+        self.label.setFont(font)
+        self.label.setObjectName("label")
+        self.gridLayout.addWidget(self.label, 0, 0, 1, 1)
+        self.label_8 = QtWidgets.QLabel(self.centralwidget)
+        font = QtGui.QFont()
+        font.setFamily("Lucida Console")
+        font.setPointSize(12)
+        font.setBold(True)
+        font.setWeight(75)
+        self.label_8.setFont(font)
+        self.label_8.setObjectName("label_8")
+        self.gridLayout.addWidget(self.label_8, 2, 0, 1, 1)
+        self.valveBankScrollArea = QtWidgets.QScrollArea(self.centralwidget)
+        self.valveBankScrollArea.setWidgetResizable(True)
+        self.valveBankScrollArea.setObjectName("valveBankScrollArea")
+        self.valveBankContents = QtWidgets.QWidget()
+        self.valveBankContents.setGeometry(QtCore.QRect(0, 0, 18, 348))
+        sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Maximum, QtWidgets.QSizePolicy.Minimum)
+        sizePolicy.setHorizontalStretch(0)
+        sizePolicy.setVerticalStretch(0)
+        sizePolicy.setHeightForWidth(self.valveBankContents.sizePolicy().hasHeightForWidth())
+        self.valveBankContents.setSizePolicy(sizePolicy)
+        self.valveBankContents.setObjectName("valveBankContents")
+        self.valveBankLayout = QtWidgets.QVBoxLayout(self.valveBankContents)
+        self.valveBankLayout.setSizeConstraint(QtWidgets.QLayout.SetFixedSize)
+        self.valveBankLayout.setContentsMargins(0, 0, 0, 0)
+        self.valveBankLayout.setObjectName("valveBankLayout")
+        self.valveBankScrollArea.setWidget(self.valveBankContents)
+        self.gridLayout.addWidget(self.valveBankScrollArea, 1, 0, 1, 1)
+        self.viewWidgetTab = QtWidgets.QTabWidget(self.centralwidget)
+        self.viewWidgetTab.setObjectName("viewWidgetTab")
+        self.pulseTab = QtWidgets.QWidget()
+        self.pulseTab.setObjectName("pulseTab")
+        self.gridLayout_5 = QtWidgets.QGridLayout(self.pulseTab)
+        self.gridLayout_5.setObjectName("gridLayout_5")
+        self.graphicsView = PlotWidget(self.pulseTab)
+        sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Expanding)
+        sizePolicy.setHorizontalStretch(0)
+        sizePolicy.setVerticalStretch(0)
+        sizePolicy.setHeightForWidth(self.graphicsView.sizePolicy().hasHeightForWidth())
+        self.graphicsView.setSizePolicy(sizePolicy)
+        self.graphicsView.setObjectName("graphicsView")
+        self.gridLayout_5.addWidget(self.graphicsView, 0, 0, 1, 1)
+        self.viewWidgetTab.addTab(self.pulseTab, "")
+        self.analogDataTab = QtWidgets.QWidget()
+        self.analogDataTab.setObjectName("analogDataTab")
+        self.gridLayout_6 = QtWidgets.QGridLayout(self.analogDataTab)
+        self.gridLayout_6.setObjectName("gridLayout_6")
+        self.analogView = PlotWidget(self.analogDataTab)
+        sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Expanding)
+        sizePolicy.setHorizontalStretch(0)
+        sizePolicy.setVerticalStretch(0)
+        sizePolicy.setHeightForWidth(self.analogView.sizePolicy().hasHeightForWidth())
+        self.analogView.setSizePolicy(sizePolicy)
+        self.analogView.setObjectName("analogView")
+        self.gridLayout_6.addWidget(self.analogView, 0, 0, 1, 1)
+        self.viewWidgetTab.addTab(self.analogDataTab, "")
+        self.gridLayout.addWidget(self.viewWidgetTab, 3, 2, 1, 1)
+        self.trialBankTable = QtWidgets.QTableView(self.centralwidget)
+        sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
+        sizePolicy.setHorizontalStretch(0)
+        sizePolicy.setVerticalStretch(0)
+        sizePolicy.setHeightForWidth(self.trialBankTable.sizePolicy().hasHeightForWidth())
+        self.trialBankTable.setSizePolicy(sizePolicy)
+        font = QtGui.QFont()
+        font.setFamily("Lucida Console")
+        self.trialBankTable.setFont(font)
+        self.trialBankTable.setContextMenuPolicy(QtCore.Qt.DefaultContextMenu)
+        self.trialBankTable.setSelectionBehavior(QtWidgets.QAbstractItemView.SelectRows)
+        self.trialBankTable.setObjectName("trialBankTable")
+        self.trialBankTable.horizontalHeader().setStretchLastSection(False)
+        self.gridLayout.addWidget(self.trialBankTable, 3, 0, 1, 1)
+        self.setupTabs = QtWidgets.QTabWidget(self.centralwidget)
+        sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
+        sizePolicy.setHorizontalStretch(0)
+        sizePolicy.setVerticalStretch(0)
+        sizePolicy.setHeightForWidth(self.setupTabs.sizePolicy().hasHeightForWidth())
+        self.setupTabs.setSizePolicy(sizePolicy)
+        font = QtGui.QFont()
+        font.setFamily("Lucida Console")
+        font.setPointSize(10)
+        self.setupTabs.setFont(font)
+        self.setupTabs.setObjectName("setupTabs")
+        self.hardwareTab = QtWidgets.QWidget()
+        self.hardwareTab.setObjectName("hardwareTab")
+        self.gridLayout_2 = QtWidgets.QGridLayout(self.hardwareTab)
+        self.gridLayout_2.setObjectName("gridLayout_2")
+        self.label_2 = QtWidgets.QLabel(self.hardwareTab)
+        self.label_2.setObjectName("label_2")
+        self.gridLayout_2.addWidget(self.label_2, 0, 0, 1, 1)
+        self.analogInDevEdit = QtWidgets.QLineEdit(self.hardwareTab)
+        self.analogInDevEdit.setObjectName("analogInDevEdit")
+        self.gridLayout_2.addWidget(self.analogInDevEdit, 3, 0, 1, 1)
+        self.digitalChannelsEdit = QtWidgets.QLineEdit(self.hardwareTab)
+        self.digitalChannelsEdit.setObjectName("digitalChannelsEdit")
+        self.gridLayout_2.addWidget(self.digitalChannelsEdit, 1, 1, 1, 1)
+        self.digitalOutDevEdit = QtWidgets.QLineEdit(self.hardwareTab)
+        self.digitalOutDevEdit.setObjectName("digitalOutDevEdit")
+        self.gridLayout_2.addWidget(self.digitalOutDevEdit, 1, 0, 1, 1)
+        self.analogChannelsLabel = QtWidgets.QLabel(self.hardwareTab)
+        self.analogChannelsLabel.setObjectName("analogChannelsLabel")
+        self.gridLayout_2.addWidget(self.analogChannelsLabel, 2, 1, 1, 1)
+        self.analogChannelsEdit = QtWidgets.QLineEdit(self.hardwareTab)
+        self.analogChannelsEdit.setObjectName("analogChannelsEdit")
+        self.gridLayout_2.addWidget(self.analogChannelsEdit, 3, 1, 1, 1)
+        self.label_5 = QtWidgets.QLabel(self.hardwareTab)
+        self.label_5.setObjectName("label_5")
+        self.gridLayout_2.addWidget(self.label_5, 6, 0, 1, 1)
+        self.label_11 = QtWidgets.QLabel(self.hardwareTab)
+        self.label_11.setObjectName("label_11")
+        self.gridLayout_2.addWidget(self.label_11, 4, 0, 1, 1)
+        self.syncClockEdit = QtWidgets.QLineEdit(self.hardwareTab)
+        self.syncClockEdit.setObjectName("syncClockEdit")
+        self.gridLayout_2.addWidget(self.syncClockEdit, 5, 0, 1, 1)
+        self.label_4 = QtWidgets.QLabel(self.hardwareTab)
+        self.label_4.setObjectName("label_4")
+        self.gridLayout_2.addWidget(self.label_4, 0, 1, 1, 1)
+        self.sampRateEdit = QtWidgets.QLineEdit(self.hardwareTab)
+        self.sampRateEdit.setObjectName("sampRateEdit")
+        self.gridLayout_2.addWidget(self.sampRateEdit, 7, 0, 1, 1)
+        self.label_3 = QtWidgets.QLabel(self.hardwareTab)
+        self.label_3.setObjectName("label_3")
+        self.gridLayout_2.addWidget(self.label_3, 2, 0, 1, 1)
+        spacerItem = QtWidgets.QSpacerItem(20, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
+        self.gridLayout_2.addItem(spacerItem, 8, 0, 1, 1)
+        self.label_9 = QtWidgets.QLabel(self.hardwareTab)
+        self.label_9.setObjectName("label_9")
+        self.gridLayout_2.addWidget(self.label_9, 4, 1, 1, 1)
+        self.triggerInEdit = QtWidgets.QLineEdit(self.hardwareTab)
+        self.triggerInEdit.setObjectName("triggerInEdit")
+        self.gridLayout_2.addWidget(self.triggerInEdit, 5, 1, 1, 1)
+        self.setupTabs.addTab(self.hardwareTab, "")
+        self.globalParametersTab = QtWidgets.QWidget()
+        self.globalParametersTab.setObjectName("globalParametersTab")
+        self.gridLayout_3 = QtWidgets.QGridLayout(self.globalParametersTab)
+        self.gridLayout_3.setObjectName("gridLayout_3")
+        self.shuffleOffsetlineEdit = QtWidgets.QLineEdit(self.globalParametersTab)
+        self.shuffleOffsetlineEdit.setObjectName("shuffleOffsetlineEdit")
+        self.gridLayout_3.addWidget(self.shuffleOffsetlineEdit, 6, 0, 1, 1)
+        self.label_16 = QtWidgets.QLabel(self.globalParametersTab)
+        self.label_16.setObjectName("label_16")
+        self.gridLayout_3.addWidget(self.label_16, 2, 1, 1, 1)
+        self.shuffleGrouplineEdit = QtWidgets.QLineEdit(self.globalParametersTab)
+        self.shuffleGrouplineEdit.setObjectName("shuffleGrouplineEdit")
+        self.gridLayout_3.addWidget(self.shuffleGrouplineEdit, 6, 1, 1, 1)
+        self.invertBlankcheckBox = QtWidgets.QCheckBox(self.globalParametersTab)
+        self.invertBlankcheckBox.setObjectName("invertBlankcheckBox")
+        self.gridLayout_3.addWidget(self.invertBlankcheckBox, 3, 0, 1, 1)
+        self.label_21 = QtWidgets.QLabel(self.globalParametersTab)
+        self.label_21.setObjectName("label_21")
+        self.gridLayout_3.addWidget(self.label_21, 5, 0, 1, 1)
+        self.blankValveEdit = QtWidgets.QLineEdit(self.globalParametersTab)
+        self.blankValveEdit.setObjectName("blankValveEdit")
+        self.gridLayout_3.addWidget(self.blankValveEdit, 3, 1, 1, 1)
+        spacerItem1 = QtWidgets.QSpacerItem(20, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
+        self.gridLayout_3.addItem(spacerItem1, 4, 0, 1, 1)
+        self.globalOnsetEdit = QtWidgets.QLineEdit(self.globalParametersTab)
+        self.globalOnsetEdit.setObjectName("globalOnsetEdit")
+        self.gridLayout_3.addWidget(self.globalOnsetEdit, 1, 0, 1, 1)
+        self.label_7 = QtWidgets.QLabel(self.globalParametersTab)
+        self.label_7.setObjectName("label_7")
+        self.gridLayout_3.addWidget(self.label_7, 0, 1, 1, 1)
+        self.globalOffsetEdit = QtWidgets.QLineEdit(self.globalParametersTab)
+        self.globalOffsetEdit.setObjectName("globalOffsetEdit")
+        self.gridLayout_3.addWidget(self.globalOffsetEdit, 1, 1, 1, 1)
+        spacerItem2 = QtWidgets.QSpacerItem(20, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
+        self.gridLayout_3.addItem(spacerItem2, 7, 0, 1, 1)
+        self.label_6 = QtWidgets.QLabel(self.globalParametersTab)
+        self.label_6.setObjectName("label_6")
+        self.gridLayout_3.addWidget(self.label_6, 0, 0, 1, 1)
+        self.label_20 = QtWidgets.QLabel(self.globalParametersTab)
+        self.label_20.setObjectName("label_20")
+        self.gridLayout_3.addWidget(self.label_20, 5, 1, 1, 1)
+        self.setupTabs.addTab(self.globalParametersTab, "")
+        self.experimentSetupTab = QtWidgets.QWidget()
+        self.experimentSetupTab.setObjectName("experimentSetupTab")
+        self.gridLayout_4 = QtWidgets.QGridLayout(self.experimentSetupTab)
+        self.gridLayout_4.setObjectName("gridLayout_4")
+        self.addTrialButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.addTrialButton.setObjectName("addTrialButton")
+        self.gridLayout_4.addWidget(self.addTrialButton, 2, 0, 1, 1)
+        self.pauseQueueButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.pauseQueueButton.setObjectName("pauseQueueButton")
+        self.gridLayout_4.addWidget(self.pauseQueueButton, 8, 1, 1, 1)
+        self.stopQueueButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.stopQueueButton.setObjectName("stopQueueButton")
+        self.gridLayout_4.addWidget(self.stopQueueButton, 8, 2, 1, 1)
+        self.randomiseTrialsButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.randomiseTrialsButton.setObjectName("randomiseTrialsButton")
+        self.gridLayout_4.addWidget(self.randomiseTrialsButton, 7, 0, 1, 1)
+        self.updateTrialButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.updateTrialButton.setObjectName("updateTrialButton")
+        self.gridLayout_4.addWidget(self.updateTrialButton, 2, 1, 1, 1)
+        self.moveUpButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.moveUpButton.setObjectName("moveUpButton")
+        self.gridLayout_4.addWidget(self.moveUpButton, 3, 1, 1, 1)
+        self.startQueueFromSelectedButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.startQueueFromSelectedButton.setObjectName("startQueueFromSelectedButton")
+        self.gridLayout_4.addWidget(self.startQueueFromSelectedButton, 9, 1, 1, 1)
+        self.startQueueButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.startQueueButton.setObjectName("startQueueButton")
+        self.gridLayout_4.addWidget(self.startQueueButton, 8, 0, 1, 1)
+        self.addValveButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.addValveButton.setObjectName("addValveButton")
+        self.gridLayout_4.addWidget(self.addValveButton, 0, 0, 1, 1)
+        self.moveDownButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.moveDownButton.setObjectName("moveDownButton")
+        self.gridLayout_4.addWidget(self.moveDownButton, 3, 2, 1, 1)
+        self.triggerWaitCheckBox = QtWidgets.QCheckBox(self.experimentSetupTab)
+        self.triggerWaitCheckBox.setObjectName("triggerWaitCheckBox")
+        self.gridLayout_4.addWidget(self.triggerWaitCheckBox, 9, 2, 1, 1)
+        self.removeTrialButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.removeTrialButton.setObjectName("removeTrialButton")
+        self.gridLayout_4.addWidget(self.removeTrialButton, 2, 2, 1, 1)
+        self.trialNameEdit = QtWidgets.QLineEdit(self.experimentSetupTab)
+        sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Maximum, QtWidgets.QSizePolicy.Fixed)
+        sizePolicy.setHorizontalStretch(0)
+        sizePolicy.setVerticalStretch(0)
+        sizePolicy.setHeightForWidth(self.trialNameEdit.sizePolicy().hasHeightForWidth())
+        self.trialNameEdit.setSizePolicy(sizePolicy)
+        self.trialNameEdit.setObjectName("trialNameEdit")
+        self.gridLayout_4.addWidget(self.trialNameEdit, 3, 0, 1, 1)
+        spacerItem3 = QtWidgets.QSpacerItem(20, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
+        self.gridLayout_4.addItem(spacerItem3, 1, 0, 1, 1)
+        self.runSelectedButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.runSelectedButton.setObjectName("runSelectedButton")
+        self.gridLayout_4.addWidget(self.runSelectedButton, 9, 0, 1, 1)
+        self.valveTypeCombo = QtWidgets.QComboBox(self.experimentSetupTab)
+        self.valveTypeCombo.setObjectName("valveTypeCombo")
+        self.valveTypeCombo.addItem("")
+        self.valveTypeCombo.addItem("")
+        self.valveTypeCombo.addItem("")
+        self.valveTypeCombo.addItem("")
+        self.valveTypeCombo.addItem("")
+        self.gridLayout_4.addWidget(self.valveTypeCombo, 0, 1, 1, 1)
+        spacerItem4 = QtWidgets.QSpacerItem(20, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
+        self.gridLayout_4.addItem(spacerItem4, 4, 0, 1, 1)
+        self.horizontalLayout = QtWidgets.QHBoxLayout()
+        self.horizontalLayout.setObjectName("horizontalLayout")
+        self.label_10 = QtWidgets.QLabel(self.experimentSetupTab)
+        self.label_10.setObjectName("label_10")
+        self.horizontalLayout.addWidget(self.label_10)
+        self.repeatsBox = QtWidgets.QSpinBox(self.experimentSetupTab)
+        self.repeatsBox.setProperty("value", 1)
+        self.repeatsBox.setObjectName("repeatsBox")
+        self.horizontalLayout.addWidget(self.repeatsBox)
+        self.gridLayout_4.addLayout(self.horizontalLayout, 7, 1, 1, 1)
+        self.shuffleRepeatsBox = QtWidgets.QCheckBox(self.experimentSetupTab)
+        self.shuffleRepeatsBox.setObjectName("shuffleRepeatsBox")
+        self.gridLayout_4.addWidget(self.shuffleRepeatsBox, 7, 2, 1, 1)
+        self.closeValvesButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.closeValvesButton.setObjectName("closeValvesButton")
+        self.gridLayout_4.addWidget(self.closeValvesButton, 0, 2, 1, 1)
+        self.setupTabs.addTab(self.experimentSetupTab, "")
+        self.dataExportTab = QtWidgets.QWidget()
+        self.dataExportTab.setObjectName("dataExportTab")
+        self.gridLayout_7 = QtWidgets.QGridLayout(self.dataExportTab)
+        self.gridLayout_7.setObjectName("gridLayout_7")
+        self.horizontalLayout_3 = QtWidgets.QHBoxLayout()
+        self.horizontalLayout_3.setObjectName("horizontalLayout_3")
+        self.label_18 = QtWidgets.QLabel(self.dataExportTab)
+        self.label_18.setObjectName("label_18")
+        self.horizontalLayout_3.addWidget(self.label_18)
+        self.label_15 = QtWidgets.QLabel(self.dataExportTab)
+        self.label_15.setObjectName("label_15")
+        self.horizontalLayout_3.addWidget(self.label_15)
+        self.gridLayout_7.addLayout(self.horizontalLayout_3, 10, 1, 1, 1)
+        self.horizontalLayout_2 = QtWidgets.QHBoxLayout()
+        self.horizontalLayout_2.setObjectName("horizontalLayout_2")
+        self.saveTrialStartscheckBox = QtWidgets.QCheckBox(self.dataExportTab)
+        self.saveTrialStartscheckBox.setChecked(True)
+        self.saveTrialStartscheckBox.setObjectName("saveTrialStartscheckBox")
+        self.horizontalLayout_2.addWidget(self.saveTrialStartscheckBox)
+        self.saveCameraVideocheckBox = QtWidgets.QCheckBox(self.dataExportTab)
+        self.saveCameraVideocheckBox.setChecked(True)
+        self.saveCameraVideocheckBox.setObjectName("saveCameraVideocheckBox")
+        self.horizontalLayout_2.addWidget(self.saveCameraVideocheckBox)
+        self.gridLayout_7.addLayout(self.horizontalLayout_2, 9, 1, 1, 1)
+        self.horizontalLayout_7 = QtWidgets.QHBoxLayout()
+        self.horizontalLayout_7.setObjectName("horizontalLayout_7")
+        self.trialStartsSuffixEdit = QtWidgets.QLineEdit(self.dataExportTab)
+        self.trialStartsSuffixEdit.setObjectName("trialStartsSuffixEdit")
+        self.horizontalLayout_7.addWidget(self.trialStartsSuffixEdit)
+        self.cameraSuffixEdit = QtWidgets.QLineEdit(self.dataExportTab)
+        self.cameraSuffixEdit.setObjectName("cameraSuffixEdit")
+        self.horizontalLayout_7.addWidget(self.cameraSuffixEdit)
+        self.gridLayout_7.addLayout(self.horizontalLayout_7, 11, 1, 1, 1)
+        self.exportPathEdit = QtWidgets.QLineEdit(self.dataExportTab)
+        self.exportPathEdit.setText("")
+        self.exportPathEdit.setObjectName("exportPathEdit")
+        self.gridLayout_7.addWidget(self.exportPathEdit, 3, 1, 1, 1)
+        self.horizontalLayout_6 = QtWidgets.QHBoxLayout()
+        self.horizontalLayout_6.setObjectName("horizontalLayout_6")
+        self.trialNameSuffixEdit = QtWidgets.QLineEdit(self.dataExportTab)
+        self.trialNameSuffixEdit.setObjectName("trialNameSuffixEdit")
+        self.horizontalLayout_6.addWidget(self.trialNameSuffixEdit)
+        self.pulseSuffixEdit = QtWidgets.QLineEdit(self.dataExportTab)
+        self.pulseSuffixEdit.setObjectName("pulseSuffixEdit")
+        self.horizontalLayout_6.addWidget(self.pulseSuffixEdit)
+        self.gridLayout_7.addLayout(self.horizontalLayout_6, 8, 1, 1, 1)
+        self.label_12 = QtWidgets.QLabel(self.dataExportTab)
+        self.label_12.setObjectName("label_12")
+        self.gridLayout_7.addWidget(self.label_12, 3, 0, 1, 1)
+        spacerItem5 = QtWidgets.QSpacerItem(20, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
+        self.gridLayout_7.addItem(spacerItem5, 2, 1, 1, 1)
+        spacerItem6 = QtWidgets.QSpacerItem(20, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
+        self.gridLayout_7.addItem(spacerItem6, 12, 1, 1, 1)
+        self.horizontalLayout_4 = QtWidgets.QHBoxLayout()
+        self.horizontalLayout_4.setSizeConstraint(QtWidgets.QLayout.SetDefaultConstraint)
+        self.horizontalLayout_4.setSpacing(6)
+        self.horizontalLayout_4.setObjectName("horizontalLayout_4")
+        self.trialNameCheckBox = QtWidgets.QCheckBox(self.dataExportTab)
+        self.trialNameCheckBox.setChecked(True)
+        self.trialNameCheckBox.setObjectName("trialNameCheckBox")
+        self.horizontalLayout_4.addWidget(self.trialNameCheckBox)
+        self.pulseCheckBox = QtWidgets.QCheckBox(self.dataExportTab)
+        self.pulseCheckBox.setObjectName("pulseCheckBox")
+        self.horizontalLayout_4.addWidget(self.pulseCheckBox)
+        self.gridLayout_7.addLayout(self.horizontalLayout_4, 5, 1, 1, 1)
+        self.horizontalLayout_5 = QtWidgets.QHBoxLayout()
+        self.horizontalLayout_5.setObjectName("horizontalLayout_5")
+        self.label_14 = QtWidgets.QLabel(self.dataExportTab)
+        self.label_14.setObjectName("label_14")
+        self.horizontalLayout_5.addWidget(self.label_14)
+        self.label_13 = QtWidgets.QLabel(self.dataExportTab)
+        self.label_13.setObjectName("label_13")
+        self.horizontalLayout_5.addWidget(self.label_13)
+        self.gridLayout_7.addLayout(self.horizontalLayout_5, 7, 1, 1, 1)
+        self.exportPathDirButton = QtWidgets.QPushButton(self.dataExportTab)
+        self.exportPathDirButton.setObjectName("exportPathDirButton")
+        self.gridLayout_7.addWidget(self.exportPathDirButton, 3, 2, 1, 1)
+        self.setupTabs.addTab(self.dataExportTab, "")
+        self.cameraTab = QtWidgets.QWidget()
+        self.cameraTab.setObjectName("cameraTab")
+        self.gridLayout_8 = QtWidgets.QGridLayout(self.cameraTab)
+        self.gridLayout_8.setObjectName("gridLayout_8")
+        spacerItem7 = QtWidgets.QSpacerItem(20, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
+        self.gridLayout_8.addItem(spacerItem7, 3, 0, 1, 2)
+        spacerItem8 = QtWidgets.QSpacerItem(20, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
+        self.gridLayout_8.addItem(spacerItem8, 10, 0, 1, 2)
+        self.label_19 = QtWidgets.QLabel(self.cameraTab)
+        self.label_19.setObjectName("label_19")
+        self.gridLayout_8.addWidget(self.label_19, 5, 1, 1, 1)
+        self.cameraSaveIconBox = QtWidgets.QCheckBox(self.cameraTab)
+        self.cameraSaveIconBox.setChecked(True)
+        self.cameraSaveIconBox.setObjectName("cameraSaveIconBox")
+        self.gridLayout_8.addWidget(self.cameraSaveIconBox, 7, 0, 1, 1)
+        self.label_17 = QtWidgets.QLabel(self.cameraTab)
+        self.label_17.setObjectName("label_17")
+        self.gridLayout_8.addWidget(self.label_17, 5, 0, 1, 1)
+        self.cameraSaveIntervalEdit = QtWidgets.QLineEdit(self.cameraTab)
+        self.cameraSaveIntervalEdit.setObjectName("cameraSaveIntervalEdit")
+        self.gridLayout_8.addWidget(self.cameraSaveIntervalEdit, 6, 0, 1, 1)
+        self.numberCamerasEdit = QtWidgets.QLineEdit(self.cameraTab)
+        self.numberCamerasEdit.setObjectName("numberCamerasEdit")
+        self.gridLayout_8.addWidget(self.numberCamerasEdit, 6, 1, 1, 1)
+        self.launchCameraButton = QtWidgets.QPushButton(self.cameraTab)
+        self.launchCameraButton.setObjectName("launchCameraButton")
+        self.gridLayout_8.addWidget(self.launchCameraButton, 4, 0, 1, 2)
+        self.blackAndWhiteBox = QtWidgets.QCheckBox(self.cameraTab)
+        self.blackAndWhiteBox.setChecked(True)
+        self.blackAndWhiteBox.setObjectName("blackAndWhiteBox")
+        self.gridLayout_8.addWidget(self.blackAndWhiteBox, 7, 1, 1, 1)
+        self.showStreamcheckBox = QtWidgets.QCheckBox(self.cameraTab)
+        self.showStreamcheckBox.setChecked(True)
+        self.showStreamcheckBox.setObjectName("showStreamcheckBox")
+        self.gridLayout_8.addWidget(self.showStreamcheckBox, 8, 1, 1, 1)
+        self.closeCamerasButton = QtWidgets.QPushButton(self.cameraTab)
+        self.closeCamerasButton.setObjectName("closeCamerasButton")
+        self.gridLayout_8.addWidget(self.closeCamerasButton, 8, 0, 1, 1)
+        self.updateCamerasButton = QtWidgets.QPushButton(self.cameraTab)
+        self.updateCamerasButton.setObjectName("updateCamerasButton")
+        self.gridLayout_8.addWidget(self.updateCamerasButton, 9, 0, 1, 1)
+        self.setupTabs.addTab(self.cameraTab, "")
+        self.gridLayout.addWidget(self.setupTabs, 1, 2, 1, 1)
+        MainWindow.setCentralWidget(self.centralwidget)
+        self.menubar = QtWidgets.QMenuBar(MainWindow)
+        self.menubar.setGeometry(QtCore.QRect(0, 0, 1229, 21))
+        self.menubar.setObjectName("menubar")
+        self.menuFile = QtWidgets.QMenu(self.menubar)
+        self.menuFile.setObjectName("menuFile")
+        MainWindow.setMenuBar(self.menubar)
+        self.statusbar = QtWidgets.QStatusBar(MainWindow)
+        self.statusbar.setObjectName("statusbar")
+        MainWindow.setStatusBar(self.statusbar)
+        self.actionSave = QtWidgets.QAction(MainWindow)
+        self.actionSave.setObjectName("actionSave")
+        self.actionLoad = QtWidgets.QAction(MainWindow)
+        self.actionLoad.setObjectName("actionLoad")
+        self.actionSave_Configuration = QtWidgets.QAction(MainWindow)
+        self.actionSave_Configuration.setObjectName("actionSave_Configuration")
+        self.menuFile.addAction(self.actionSave)
+        self.menuFile.addAction(self.actionLoad)
+        self.menuFile.addAction(self.actionSave_Configuration)
+        self.menubar.addAction(self.menuFile.menuAction())
+
+        self.retranslateUi(MainWindow)
+        self.viewWidgetTab.setCurrentIndex(0)
+        self.setupTabs.setCurrentIndex(1)
+        QtCore.QMetaObject.connectSlotsByName(MainWindow)
+
+    def retranslateUi(self, MainWindow):
+        _translate = QtCore.QCoreApplication.translate
+        MainWindow.setWindowTitle(_translate("MainWindow", "MainWindow"))
+        self.label.setText(_translate("MainWindow", "Valve Bank"))
+        self.label_8.setText(_translate("MainWindow", "Trial Bank"))
+        self.viewWidgetTab.setTabText(self.viewWidgetTab.indexOf(self.pulseTab), _translate("MainWindow", "Pulses"))
+        self.viewWidgetTab.setTabText(self.viewWidgetTab.indexOf(self.analogDataTab), _translate("MainWindow", "Analog Data"))
+        self.label_2.setText(_translate("MainWindow", "Digital Out Device"))
+        self.analogInDevEdit.setText(_translate("MainWindow", "dev2/ai4"))
+        self.digitalChannelsEdit.setText(_translate("MainWindow", "4"))
+        self.digitalOutDevEdit.setText(_translate("MainWindow", "dev2/port0/line0:3"))
+        self.analogChannelsLabel.setText(_translate("MainWindow", "Analog Channels"))
+        self.analogChannelsEdit.setText(_translate("MainWindow", "1"))
+        self.label_5.setText(_translate("MainWindow", "Sampling Rate"))
+        self.label_11.setText(_translate("MainWindow", "Synchronisation Clock"))
+        self.syncClockEdit.setText(_translate("MainWindow", "/dev2/ai/SampleClock"))
+        self.label_4.setText(_translate("MainWindow", "Digital Channels"))
+        self.sampRateEdit.setText(_translate("MainWindow", "20000"))
+        self.label_3.setText(_translate("MainWindow", "Analog Input Device"))
+        self.label_9.setText(_translate("MainWindow", "Trigger In Source"))
+        self.triggerInEdit.setText(_translate("MainWindow", "cDAQ1Mod2/ai3"))
+        self.setupTabs.setTabText(self.setupTabs.indexOf(self.hardwareTab), _translate("MainWindow", "Hardware"))
+        self.shuffleOffsetlineEdit.setText(_translate("MainWindow", "0"))
+        self.label_16.setText(_translate("MainWindow", "Blank valve indexes (0 indexing)"))
+        self.shuffleGrouplineEdit.setText(_translate("MainWindow", "1"))
+        self.invertBlankcheckBox.setText(_translate("MainWindow", "Invert blank off state"))
+        self.label_21.setText(_translate("MainWindow", "Shuffle offset"))
+        self.globalOnsetEdit.setText(_translate("MainWindow", "0"))
+        self.label_7.setText(_translate("MainWindow", "Offset"))
+        self.globalOffsetEdit.setText(_translate("MainWindow", "0"))
+        self.label_6.setText(_translate("MainWindow", "Onset"))
+        self.label_20.setText(_translate("MainWindow", "Shuffle group size"))
+        self.setupTabs.setTabText(self.setupTabs.indexOf(self.globalParametersTab), _translate("MainWindow", "Global Parameters"))
+        self.addTrialButton.setText(_translate("MainWindow", "Add To Trials"))
+        self.pauseQueueButton.setText(_translate("MainWindow", "Pause Queue"))
+        self.stopQueueButton.setText(_translate("MainWindow", "Stop Queue"))
+        self.randomiseTrialsButton.setText(_translate("MainWindow", "Randomise trials"))
+        self.updateTrialButton.setText(_translate("MainWindow", "Update Trial"))
+        self.moveUpButton.setText(_translate("MainWindow", "Move Up"))
+        self.startQueueFromSelectedButton.setText(_translate("MainWindow", "Start Queue from Selected"))
+        self.startQueueButton.setText(_translate("MainWindow", "Start Queue"))
+        self.addValveButton.setText(_translate("MainWindow", "Add Valve"))
+        self.moveDownButton.setText(_translate("MainWindow", "Move Down"))
+        self.triggerWaitCheckBox.setText(_translate("MainWindow", "Wait for trigger"))
+        self.removeTrialButton.setText(_translate("MainWindow", "Remove Trial"))
+        self.trialNameEdit.setText(_translate("MainWindow", "Trial Name"))
+        self.runSelectedButton.setText(_translate("MainWindow", "Run Selected"))
+        self.valveTypeCombo.setItemText(0, _translate("MainWindow", "Simple"))
+        self.valveTypeCombo.setItemText(1, _translate("MainWindow", "Binary"))
+        self.valveTypeCombo.setItemText(2, _translate("MainWindow", "Anti Plume"))
+        self.valveTypeCombo.setItemText(3, _translate("MainWindow", "Noise"))
+        self.valveTypeCombo.setItemText(4, _translate("MainWindow", "Plume"))
+        self.label_10.setText(_translate("MainWindow", "Repeats"))
+        self.shuffleRepeatsBox.setText(_translate("MainWindow", "Shuffle repeats"))
+        self.closeValvesButton.setText(_translate("MainWindow", "Close all valves"))
+        self.setupTabs.setTabText(self.setupTabs.indexOf(self.experimentSetupTab), _translate("MainWindow", "Experiment"))
+        self.label_18.setText(_translate("MainWindow", "Time suffix"))
+        self.label_15.setText(_translate("MainWindow", "Camera suffix"))
+        self.saveTrialStartscheckBox.setText(_translate("MainWindow", "Save trial start times"))
+        self.saveCameraVideocheckBox.setText(_translate("MainWindow", "Save camera video"))
+        self.trialStartsSuffixEdit.setText(_translate("MainWindow", "trial_starts"))
+        self.cameraSuffixEdit.setText(_translate("MainWindow", "camera"))
+        self.trialNameSuffixEdit.setText(_translate("MainWindow", "trial_name"))
+        self.pulseSuffixEdit.setText(_translate("MainWindow", "data"))
+        self.label_12.setText(_translate("MainWindow", "Save path"))
+        self.trialNameCheckBox.setText(_translate("MainWindow", "Save trial names"))
+        self.pulseCheckBox.setText(_translate("MainWindow", "Save pulses"))
+        self.label_14.setText(_translate("MainWindow", "Name suffix"))
+        self.label_13.setText(_translate("MainWindow", "Pulse suffix"))
+        self.exportPathDirButton.setText(_translate("MainWindow", "..."))
+        self.setupTabs.setTabText(self.setupTabs.indexOf(self.dataExportTab), _translate("MainWindow", "Data"))
+        self.label_19.setText(_translate("MainWindow", "Number of cameras"))
+        self.cameraSaveIconBox.setText(_translate("MainWindow", "Camera save icon"))
+        self.label_17.setText(_translate("MainWindow", "Camera save interval (s)"))
+        self.cameraSaveIntervalEdit.setText(_translate("MainWindow", "600"))
+        self.numberCamerasEdit.setText(_translate("MainWindow", "2"))
+        self.launchCameraButton.setText(_translate("MainWindow", "Launch camera(s)"))
+        self.blackAndWhiteBox.setText(_translate("MainWindow", "Black and white"))
+        self.showStreamcheckBox.setText(_translate("MainWindow", "Show stream"))
+        self.closeCamerasButton.setText(_translate("MainWindow", "Close cameras(s)"))
+        self.updateCamerasButton.setText(_translate("MainWindow", "Update camera(s)"))
+        self.setupTabs.setTabText(self.setupTabs.indexOf(self.cameraTab), _translate("MainWindow", "Cameras"))
+        self.menuFile.setTitle(_translate("MainWindow", "File"))
+        self.actionSave.setText(_translate("MainWindow", "Save"))
+        self.actionLoad.setText(_translate("MainWindow", "Load"))
+        self.actionSave_Configuration.setText(_translate("MainWindow", "Save Configuration"))
+
+from pyqtgraph import PlotWidget
diff --git a/UI/PulseBoyUI_v2.ui b/UI/PulseBoyUI_v2.ui
new file mode 100644
index 0000000..9c64997
--- /dev/null
+++ b/UI/PulseBoyUI_v2.ui
@@ -0,0 +1,942 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<ui version="4.0">
+ <class>MainWindow</class>
+ <widget class="QMainWindow" name="MainWindow">
+  <property name="geometry">
+   <rect>
+    <x>0</x>
+    <y>0</y>
+    <width>1229</width>
+    <height>809</height>
+   </rect>
+  </property>
+  <property name="windowTitle">
+   <string>MainWindow</string>
+  </property>
+  <widget class="QWidget" name="centralwidget">
+   <layout class="QGridLayout" name="gridLayout">
+    <item row="0" column="0">
+     <widget class="QLabel" name="label">
+      <property name="font">
+       <font>
+        <family>Lucida Console</family>
+        <pointsize>12</pointsize>
+        <weight>75</weight>
+        <bold>true</bold>
+       </font>
+      </property>
+      <property name="text">
+       <string>Valve Bank</string>
+      </property>
+     </widget>
+    </item>
+    <item row="2" column="0">
+     <widget class="QLabel" name="label_8">
+      <property name="font">
+       <font>
+        <family>Lucida Console</family>
+        <pointsize>12</pointsize>
+        <weight>75</weight>
+        <bold>true</bold>
+       </font>
+      </property>
+      <property name="text">
+       <string>Trial Bank</string>
+      </property>
+     </widget>
+    </item>
+    <item row="1" column="0">
+     <widget class="QScrollArea" name="valveBankScrollArea">
+      <property name="widgetResizable">
+       <bool>true</bool>
+      </property>
+      <widget class="QWidget" name="valveBankContents">
+       <property name="geometry">
+        <rect>
+         <x>0</x>
+         <y>0</y>
+         <width>18</width>
+         <height>348</height>
+        </rect>
+       </property>
+       <property name="sizePolicy">
+        <sizepolicy hsizetype="Maximum" vsizetype="Minimum">
+         <horstretch>0</horstretch>
+         <verstretch>0</verstretch>
+        </sizepolicy>
+       </property>
+       <layout class="QVBoxLayout" name="valveBankLayout">
+        <property name="sizeConstraint">
+         <enum>QLayout::SetFixedSize</enum>
+        </property>
+       </layout>
+      </widget>
+     </widget>
+    </item>
+    <item row="3" column="2">
+     <widget class="QTabWidget" name="viewWidgetTab">
+      <property name="currentIndex">
+       <number>0</number>
+      </property>
+      <widget class="QWidget" name="pulseTab">
+       <attribute name="title">
+        <string>Pulses</string>
+       </attribute>
+       <layout class="QGridLayout" name="gridLayout_5">
+        <item row="0" column="0">
+         <widget class="PlotWidget" name="graphicsView">
+          <property name="sizePolicy">
+           <sizepolicy hsizetype="Expanding" vsizetype="Expanding">
+            <horstretch>0</horstretch>
+            <verstretch>0</verstretch>
+           </sizepolicy>
+          </property>
+         </widget>
+        </item>
+       </layout>
+      </widget>
+      <widget class="QWidget" name="analogDataTab">
+       <attribute name="title">
+        <string>Analog Data</string>
+       </attribute>
+       <layout class="QGridLayout" name="gridLayout_6">
+        <item row="0" column="0">
+         <widget class="PlotWidget" name="analogView">
+          <property name="sizePolicy">
+           <sizepolicy hsizetype="Expanding" vsizetype="Expanding">
+            <horstretch>0</horstretch>
+            <verstretch>0</verstretch>
+           </sizepolicy>
+          </property>
+         </widget>
+        </item>
+       </layout>
+      </widget>
+     </widget>
+    </item>
+    <item row="3" column="0">
+     <widget class="QTableView" name="trialBankTable">
+      <property name="sizePolicy">
+       <sizepolicy hsizetype="Minimum" vsizetype="Expanding">
+        <horstretch>0</horstretch>
+        <verstretch>0</verstretch>
+       </sizepolicy>
+      </property>
+      <property name="font">
+       <font>
+        <family>Lucida Console</family>
+       </font>
+      </property>
+      <property name="contextMenuPolicy">
+       <enum>Qt::DefaultContextMenu</enum>
+      </property>
+      <property name="selectionBehavior">
+       <enum>QAbstractItemView::SelectRows</enum>
+      </property>
+      <attribute name="horizontalHeaderStretchLastSection">
+       <bool>false</bool>
+      </attribute>
+     </widget>
+    </item>
+    <item row="1" column="2">
+     <widget class="QTabWidget" name="setupTabs">
+      <property name="sizePolicy">
+       <sizepolicy hsizetype="Minimum" vsizetype="Expanding">
+        <horstretch>0</horstretch>
+        <verstretch>0</verstretch>
+       </sizepolicy>
+      </property>
+      <property name="font">
+       <font>
+        <family>Lucida Console</family>
+        <pointsize>10</pointsize>
+       </font>
+      </property>
+      <property name="currentIndex">
+       <number>0</number>
+      </property>
+      <widget class="QWidget" name="hardwareTab">
+       <attribute name="title">
+        <string>Hardware</string>
+       </attribute>
+       <layout class="QGridLayout" name="gridLayout_2">
+        <item row="9" column="1">
+         <widget class="QLabel" name="label_22">
+          <property name="text">
+           <string>Carrier flow out device</string>
+          </property>
+         </widget>
+        </item>
+        <item row="10" column="0">
+         <widget class="QCheckBox" name="carrierControlBox">
+          <property name="text">
+           <string>Control carrier flow</string>
+          </property>
+         </widget>
+        </item>
+        <item row="1" column="0">
+         <widget class="QLineEdit" name="digitalOutDevEdit">
+          <property name="text">
+           <string>dev2/port0/line0:3</string>
+          </property>
+         </widget>
+        </item>
+        <item row="1" column="1">
+         <widget class="QLineEdit" name="digitalChannelsEdit">
+          <property name="text">
+           <string>4</string>
+          </property>
+         </widget>
+        </item>
+        <item row="3" column="0">
+         <widget class="QLineEdit" name="analogInDevEdit">
+          <property name="text">
+           <string>dev2/ai4</string>
+          </property>
+         </widget>
+        </item>
+        <item row="3" column="1">
+         <widget class="QLineEdit" name="analogChannelsEdit">
+          <property name="text">
+           <string>1</string>
+          </property>
+         </widget>
+        </item>
+        <item row="6" column="0">
+         <widget class="QLabel" name="label_5">
+          <property name="text">
+           <string>Sampling Rate</string>
+          </property>
+         </widget>
+        </item>
+        <item row="4" column="0">
+         <widget class="QLabel" name="label_11">
+          <property name="text">
+           <string>Synchronisation Clock</string>
+          </property>
+         </widget>
+        </item>
+        <item row="5" column="0">
+         <widget class="QLineEdit" name="syncClockEdit">
+          <property name="text">
+           <string>/dev2/ai/SampleClock</string>
+          </property>
+         </widget>
+        </item>
+        <item row="0" column="1">
+         <widget class="QLabel" name="label_4">
+          <property name="text">
+           <string>Digital Channels</string>
+          </property>
+         </widget>
+        </item>
+        <item row="7" column="0">
+         <widget class="QLineEdit" name="sampRateEdit">
+          <property name="text">
+           <string>20000</string>
+          </property>
+         </widget>
+        </item>
+        <item row="2" column="1">
+         <widget class="QLabel" name="analogChannelsLabel">
+          <property name="text">
+           <string>Analog Channels</string>
+          </property>
+         </widget>
+        </item>
+        <item row="4" column="1">
+         <widget class="QLabel" name="label_9">
+          <property name="text">
+           <string>Trigger In Source</string>
+          </property>
+         </widget>
+        </item>
+        <item row="0" column="0">
+         <widget class="QLabel" name="label_2">
+          <property name="text">
+           <string>Digital Out Device</string>
+          </property>
+         </widget>
+        </item>
+        <item row="5" column="1">
+         <widget class="QLineEdit" name="triggerInEdit">
+          <property name="text">
+           <string>cDAQ1Mod2/ai3</string>
+          </property>
+         </widget>
+        </item>
+        <item row="2" column="0">
+         <widget class="QLabel" name="label_3">
+          <property name="text">
+           <string>Analog Input Device</string>
+          </property>
+         </widget>
+        </item>
+        <item row="10" column="1">
+         <widget class="QLineEdit" name="carrierDeviceEdit">
+          <property name="text">
+           <string>dev2/port0/line5</string>
+          </property>
+         </widget>
+        </item>
+        <item row="8" column="0">
+         <spacer name="verticalSpacer">
+          <property name="orientation">
+           <enum>Qt::Vertical</enum>
+          </property>
+          <property name="sizeHint" stdset="0">
+           <size>
+            <width>20</width>
+            <height>40</height>
+           </size>
+          </property>
+         </spacer>
+        </item>
+       </layout>
+      </widget>
+      <widget class="QWidget" name="globalParametersTab">
+       <attribute name="title">
+        <string>Global Parameters</string>
+       </attribute>
+       <layout class="QGridLayout" name="gridLayout_3">
+        <item row="6" column="0">
+         <widget class="QLineEdit" name="shuffleOffsetlineEdit">
+          <property name="text">
+           <string>0</string>
+          </property>
+         </widget>
+        </item>
+        <item row="2" column="1">
+         <widget class="QLabel" name="label_16">
+          <property name="text">
+           <string>Blank valve indexes (0 indexing)</string>
+          </property>
+         </widget>
+        </item>
+        <item row="6" column="1">
+         <widget class="QLineEdit" name="shuffleGrouplineEdit">
+          <property name="text">
+           <string>1</string>
+          </property>
+         </widget>
+        </item>
+        <item row="3" column="0">
+         <widget class="QCheckBox" name="invertBlankcheckBox">
+          <property name="text">
+           <string>Invert blank off state</string>
+          </property>
+         </widget>
+        </item>
+        <item row="5" column="0">
+         <widget class="QLabel" name="label_21">
+          <property name="text">
+           <string>Shuffle offset</string>
+          </property>
+         </widget>
+        </item>
+        <item row="3" column="1">
+         <widget class="QLineEdit" name="blankValveEdit"/>
+        </item>
+        <item row="4" column="0">
+         <spacer name="verticalSpacer_9">
+          <property name="orientation">
+           <enum>Qt::Vertical</enum>
+          </property>
+          <property name="sizeHint" stdset="0">
+           <size>
+            <width>20</width>
+            <height>40</height>
+           </size>
+          </property>
+         </spacer>
+        </item>
+        <item row="1" column="0">
+         <widget class="QLineEdit" name="globalOnsetEdit">
+          <property name="text">
+           <string>0</string>
+          </property>
+         </widget>
+        </item>
+        <item row="0" column="1">
+         <widget class="QLabel" name="label_7">
+          <property name="text">
+           <string>Offset</string>
+          </property>
+         </widget>
+        </item>
+        <item row="1" column="1">
+         <widget class="QLineEdit" name="globalOffsetEdit">
+          <property name="text">
+           <string>0</string>
+          </property>
+         </widget>
+        </item>
+        <item row="7" column="0">
+         <spacer name="verticalSpacer_2">
+          <property name="orientation">
+           <enum>Qt::Vertical</enum>
+          </property>
+          <property name="sizeHint" stdset="0">
+           <size>
+            <width>20</width>
+            <height>40</height>
+           </size>
+          </property>
+         </spacer>
+        </item>
+        <item row="0" column="0">
+         <widget class="QLabel" name="label_6">
+          <property name="text">
+           <string>Onset</string>
+          </property>
+         </widget>
+        </item>
+        <item row="5" column="1">
+         <widget class="QLabel" name="label_20">
+          <property name="text">
+           <string>Shuffle group size</string>
+          </property>
+         </widget>
+        </item>
+       </layout>
+      </widget>
+      <widget class="QWidget" name="experimentSetupTab">
+       <attribute name="title">
+        <string>Experiment</string>
+       </attribute>
+       <layout class="QGridLayout" name="gridLayout_4">
+        <item row="0" column="2">
+         <widget class="QPushButton" name="closeValvesButton">
+          <property name="text">
+           <string>Close all valves</string>
+          </property>
+         </widget>
+        </item>
+        <item row="7" column="0">
+         <widget class="QPushButton" name="randomiseTrialsButton">
+          <property name="text">
+           <string>Randomise trials</string>
+          </property>
+         </widget>
+        </item>
+        <item row="9" column="0">
+         <widget class="QPushButton" name="runSelectedButton">
+          <property name="text">
+           <string>Run Selected</string>
+          </property>
+         </widget>
+        </item>
+        <item row="3" column="1">
+         <widget class="QPushButton" name="moveUpButton">
+          <property name="text">
+           <string>Move Up</string>
+          </property>
+         </widget>
+        </item>
+        <item row="9" column="1">
+         <widget class="QPushButton" name="startQueueFromSelectedButton">
+          <property name="text">
+           <string>Start Queue from Selected</string>
+          </property>
+         </widget>
+        </item>
+        <item row="7" column="1">
+         <layout class="QHBoxLayout" name="horizontalLayout">
+          <item>
+           <widget class="QLabel" name="label_10">
+            <property name="text">
+             <string>Repeats</string>
+            </property>
+           </widget>
+          </item>
+          <item>
+           <widget class="QSpinBox" name="repeatsBox">
+            <property name="maximum">
+             <number>1000000</number>
+            </property>
+            <property name="value">
+             <number>1</number>
+            </property>
+           </widget>
+          </item>
+         </layout>
+        </item>
+        <item row="8" column="0">
+         <widget class="QPushButton" name="startQueueButton">
+          <property name="text">
+           <string>Start Queue</string>
+          </property>
+         </widget>
+        </item>
+        <item row="7" column="2">
+         <widget class="QCheckBox" name="shuffleRepeatsBox">
+          <property name="text">
+           <string>Shuffle repeats</string>
+          </property>
+         </widget>
+        </item>
+        <item row="0" column="0">
+         <widget class="QPushButton" name="addValveButton">
+          <property name="text">
+           <string>Add Valve</string>
+          </property>
+         </widget>
+        </item>
+        <item row="9" column="2">
+         <widget class="QCheckBox" name="triggerWaitCheckBox">
+          <property name="text">
+           <string>Wait for trigger</string>
+          </property>
+         </widget>
+        </item>
+        <item row="0" column="1">
+         <widget class="QComboBox" name="valveTypeCombo">
+          <item>
+           <property name="text">
+            <string>Simple</string>
+           </property>
+          </item>
+          <item>
+           <property name="text">
+            <string>Binary</string>
+           </property>
+          </item>
+          <item>
+           <property name="text">
+            <string>Anti Plume</string>
+           </property>
+          </item>
+          <item>
+           <property name="text">
+            <string>Noise</string>
+           </property>
+          </item>
+          <item>
+           <property name="text">
+            <string>Plume</string>
+           </property>
+          </item>
+         </widget>
+        </item>
+        <item row="4" column="0">
+         <spacer name="verticalSpacer_3">
+          <property name="orientation">
+           <enum>Qt::Vertical</enum>
+          </property>
+          <property name="sizeHint" stdset="0">
+           <size>
+            <width>20</width>
+            <height>40</height>
+           </size>
+          </property>
+         </spacer>
+        </item>
+        <item row="2" column="1">
+         <widget class="QPushButton" name="updateTrialButton">
+          <property name="text">
+           <string>Update Trial</string>
+          </property>
+         </widget>
+        </item>
+        <item row="3" column="2">
+         <widget class="QPushButton" name="moveDownButton">
+          <property name="text">
+           <string>Move Down</string>
+          </property>
+         </widget>
+        </item>
+        <item row="3" column="0">
+         <widget class="QLineEdit" name="trialNameEdit">
+          <property name="sizePolicy">
+           <sizepolicy hsizetype="Maximum" vsizetype="Fixed">
+            <horstretch>0</horstretch>
+            <verstretch>0</verstretch>
+           </sizepolicy>
+          </property>
+          <property name="text">
+           <string>Trial Name</string>
+          </property>
+         </widget>
+        </item>
+        <item row="1" column="0">
+         <spacer name="verticalSpacer_4">
+          <property name="orientation">
+           <enum>Qt::Vertical</enum>
+          </property>
+          <property name="sizeHint" stdset="0">
+           <size>
+            <width>20</width>
+            <height>40</height>
+           </size>
+          </property>
+         </spacer>
+        </item>
+        <item row="2" column="2">
+         <widget class="QPushButton" name="removeTrialButton">
+          <property name="text">
+           <string>Remove Trial</string>
+          </property>
+         </widget>
+        </item>
+        <item row="2" column="0">
+         <widget class="QPushButton" name="addTrialButton">
+          <property name="text">
+           <string>Add To Trials</string>
+          </property>
+         </widget>
+        </item>
+        <item row="8" column="1">
+         <widget class="QPushButton" name="pauseQueueButton">
+          <property name="text">
+           <string>Pause Queue</string>
+          </property>
+         </widget>
+        </item>
+        <item row="8" column="2">
+         <widget class="QPushButton" name="stopQueueButton">
+          <property name="text">
+           <string>Stop Queue</string>
+          </property>
+         </widget>
+        </item>
+       </layout>
+      </widget>
+      <widget class="QWidget" name="dataExportTab">
+       <attribute name="title">
+        <string>Data</string>
+       </attribute>
+       <layout class="QGridLayout" name="gridLayout_7">
+        <item row="10" column="1">
+         <layout class="QHBoxLayout" name="horizontalLayout_3">
+          <item>
+           <widget class="QLabel" name="label_18">
+            <property name="text">
+             <string>Time suffix</string>
+            </property>
+           </widget>
+          </item>
+          <item>
+           <widget class="QLabel" name="label_15">
+            <property name="text">
+             <string>Camera suffix</string>
+            </property>
+           </widget>
+          </item>
+         </layout>
+        </item>
+        <item row="9" column="1">
+         <layout class="QHBoxLayout" name="horizontalLayout_2">
+          <item>
+           <widget class="QCheckBox" name="saveTrialStartscheckBox">
+            <property name="text">
+             <string>Save trial start times</string>
+            </property>
+            <property name="checked">
+             <bool>true</bool>
+            </property>
+           </widget>
+          </item>
+          <item>
+           <widget class="QCheckBox" name="saveCameraVideocheckBox">
+            <property name="text">
+             <string>Save camera video</string>
+            </property>
+            <property name="checked">
+             <bool>true</bool>
+            </property>
+           </widget>
+          </item>
+         </layout>
+        </item>
+        <item row="11" column="1">
+         <layout class="QHBoxLayout" name="horizontalLayout_7">
+          <item>
+           <widget class="QLineEdit" name="trialStartsSuffixEdit">
+            <property name="text">
+             <string>trial_starts</string>
+            </property>
+           </widget>
+          </item>
+          <item>
+           <widget class="QLineEdit" name="cameraSuffixEdit">
+            <property name="text">
+             <string>camera</string>
+            </property>
+           </widget>
+          </item>
+         </layout>
+        </item>
+        <item row="3" column="1">
+         <widget class="QLineEdit" name="exportPathEdit">
+          <property name="text">
+           <string/>
+          </property>
+         </widget>
+        </item>
+        <item row="8" column="1">
+         <layout class="QHBoxLayout" name="horizontalLayout_6">
+          <item>
+           <widget class="QLineEdit" name="trialNameSuffixEdit">
+            <property name="text">
+             <string>trial_name</string>
+            </property>
+           </widget>
+          </item>
+          <item>
+           <widget class="QLineEdit" name="pulseSuffixEdit">
+            <property name="text">
+             <string>data</string>
+            </property>
+           </widget>
+          </item>
+         </layout>
+        </item>
+        <item row="3" column="0">
+         <widget class="QLabel" name="label_12">
+          <property name="text">
+           <string>Save path</string>
+          </property>
+         </widget>
+        </item>
+        <item row="2" column="1">
+         <spacer name="verticalSpacer_6">
+          <property name="orientation">
+           <enum>Qt::Vertical</enum>
+          </property>
+          <property name="sizeHint" stdset="0">
+           <size>
+            <width>20</width>
+            <height>40</height>
+           </size>
+          </property>
+         </spacer>
+        </item>
+        <item row="12" column="1">
+         <spacer name="verticalSpacer_5">
+          <property name="orientation">
+           <enum>Qt::Vertical</enum>
+          </property>
+          <property name="sizeHint" stdset="0">
+           <size>
+            <width>20</width>
+            <height>40</height>
+           </size>
+          </property>
+         </spacer>
+        </item>
+        <item row="5" column="1">
+         <layout class="QHBoxLayout" name="horizontalLayout_4">
+          <property name="spacing">
+           <number>6</number>
+          </property>
+          <property name="sizeConstraint">
+           <enum>QLayout::SetDefaultConstraint</enum>
+          </property>
+          <item>
+           <widget class="QCheckBox" name="trialNameCheckBox">
+            <property name="text">
+             <string>Save trial names</string>
+            </property>
+            <property name="checked">
+             <bool>true</bool>
+            </property>
+           </widget>
+          </item>
+          <item>
+           <widget class="QCheckBox" name="pulseCheckBox">
+            <property name="text">
+             <string>Save pulses</string>
+            </property>
+           </widget>
+          </item>
+         </layout>
+        </item>
+        <item row="7" column="1">
+         <layout class="QHBoxLayout" name="horizontalLayout_5">
+          <item>
+           <widget class="QLabel" name="label_14">
+            <property name="text">
+             <string>Name suffix</string>
+            </property>
+           </widget>
+          </item>
+          <item>
+           <widget class="QLabel" name="label_13">
+            <property name="text">
+             <string>Pulse suffix</string>
+            </property>
+           </widget>
+          </item>
+         </layout>
+        </item>
+        <item row="3" column="2">
+         <widget class="QPushButton" name="exportPathDirButton">
+          <property name="text">
+           <string>...</string>
+          </property>
+         </widget>
+        </item>
+       </layout>
+      </widget>
+      <widget class="QWidget" name="cameraTab">
+       <attribute name="title">
+        <string>Cameras</string>
+       </attribute>
+       <layout class="QGridLayout" name="gridLayout_8">
+        <item row="3" column="0" colspan="2">
+         <spacer name="verticalSpacer_8">
+          <property name="orientation">
+           <enum>Qt::Vertical</enum>
+          </property>
+          <property name="sizeHint" stdset="0">
+           <size>
+            <width>20</width>
+            <height>40</height>
+           </size>
+          </property>
+         </spacer>
+        </item>
+        <item row="10" column="0" colspan="2">
+         <spacer name="verticalSpacer_7">
+          <property name="orientation">
+           <enum>Qt::Vertical</enum>
+          </property>
+          <property name="sizeHint" stdset="0">
+           <size>
+            <width>20</width>
+            <height>40</height>
+           </size>
+          </property>
+         </spacer>
+        </item>
+        <item row="5" column="1">
+         <widget class="QLabel" name="label_19">
+          <property name="text">
+           <string>Number of cameras</string>
+          </property>
+         </widget>
+        </item>
+        <item row="7" column="0">
+         <widget class="QCheckBox" name="cameraSaveIconBox">
+          <property name="text">
+           <string>Camera save icon</string>
+          </property>
+          <property name="checked">
+           <bool>true</bool>
+          </property>
+         </widget>
+        </item>
+        <item row="5" column="0">
+         <widget class="QLabel" name="label_17">
+          <property name="text">
+           <string>Camera save interval (s)</string>
+          </property>
+         </widget>
+        </item>
+        <item row="6" column="0">
+         <widget class="QLineEdit" name="cameraSaveIntervalEdit">
+          <property name="text">
+           <string>600</string>
+          </property>
+         </widget>
+        </item>
+        <item row="6" column="1">
+         <widget class="QLineEdit" name="numberCamerasEdit">
+          <property name="text">
+           <string>2</string>
+          </property>
+         </widget>
+        </item>
+        <item row="4" column="0" colspan="2">
+         <widget class="QPushButton" name="launchCameraButton">
+          <property name="text">
+           <string>Launch camera(s)</string>
+          </property>
+         </widget>
+        </item>
+        <item row="7" column="1">
+         <widget class="QCheckBox" name="blackAndWhiteBox">
+          <property name="text">
+           <string>Black and white</string>
+          </property>
+          <property name="checked">
+           <bool>true</bool>
+          </property>
+         </widget>
+        </item>
+        <item row="8" column="1">
+         <widget class="QCheckBox" name="showStreamcheckBox">
+          <property name="text">
+           <string>Show stream</string>
+          </property>
+          <property name="checked">
+           <bool>true</bool>
+          </property>
+         </widget>
+        </item>
+        <item row="8" column="0">
+         <widget class="QPushButton" name="closeCamerasButton">
+          <property name="text">
+           <string>Close cameras(s)</string>
+          </property>
+         </widget>
+        </item>
+        <item row="9" column="0">
+         <widget class="QPushButton" name="updateCamerasButton">
+          <property name="text">
+           <string>Update camera(s)</string>
+          </property>
+         </widget>
+        </item>
+       </layout>
+      </widget>
+     </widget>
+    </item>
+   </layout>
+  </widget>
+  <widget class="QMenuBar" name="menubar">
+   <property name="geometry">
+    <rect>
+     <x>0</x>
+     <y>0</y>
+     <width>1229</width>
+     <height>21</height>
+    </rect>
+   </property>
+   <widget class="QMenu" name="menuFile">
+    <property name="title">
+     <string>File</string>
+    </property>
+    <addaction name="actionSave"/>
+    <addaction name="actionLoad"/>
+    <addaction name="actionSave_Configuration"/>
+   </widget>
+   <addaction name="menuFile"/>
+  </widget>
+  <widget class="QStatusBar" name="statusbar"/>
+  <action name="actionSave">
+   <property name="text">
+    <string>Save</string>
+   </property>
+  </action>
+  <action name="actionLoad">
+   <property name="text">
+    <string>Load</string>
+   </property>
+  </action>
+  <action name="actionSave_Configuration">
+   <property name="text">
+    <string>Save Configuration</string>
+   </property>
+  </action>
+ </widget>
+ <customwidgets>
+  <customwidget>
+   <class>PlotWidget</class>
+   <extends>QGraphicsView</extends>
+   <header>pyqtgraph</header>
+  </customwidget>
+ </customwidgets>
+ <resources/>
+ <connections/>
+</ui>
diff --git a/UI/SimpleValveWidget.ui b/UI/SimpleValveWidget.ui
index 17ebf8f..150021a 100644
--- a/UI/SimpleValveWidget.ui
+++ b/UI/SimpleValveWidget.ui
@@ -6,7 +6,7 @@
    <rect>
     <x>0</x>
     <y>0</y>
-    <width>846</width>
+    <width>1421</width>
     <height>113</height>
    </rect>
   </property>
@@ -255,6 +255,13 @@
      </property>
     </widget>
    </item>
+   <item row="0" column="0" rowspan="2">
+    <widget class="QLabel" name="position">
+     <property name="text">
+      <string>1</string>
+     </property>
+    </widget>
+   </item>
   </layout>
  </widget>
  <resources/>
diff --git a/UI/binaryValveDesign.py b/UI/binaryValveDesign.py
new file mode 100644
index 0000000..a470d54
--- /dev/null
+++ b/UI/binaryValveDesign.py
@@ -0,0 +1,106 @@
+# -*- coding: utf-8 -*-
+
+# Form implementation generated from reading ui file 'BinaryValveWidget.ui'
+#
+# Created by: PyQt5 UI code generator 5.9
+#
+# WARNING! All changes made in this file will be lost!
+
+from PyQt5 import QtCore, QtGui, QtWidgets
+
+class Ui_Form(object):
+    def setupUi(self, Form):
+        Form.setObjectName("Form")
+        Form.resize(905, 113)
+        sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Preferred, QtWidgets.QSizePolicy.Preferred)
+        sizePolicy.setHorizontalStretch(0)
+        sizePolicy.setVerticalStretch(0)
+        sizePolicy.setHeightForWidth(Form.sizePolicy().hasHeightForWidth())
+        Form.setSizePolicy(sizePolicy)
+        font = QtGui.QFont()
+        font.setFamily("Lucida Console")
+        Form.setFont(font)
+        self.gridLayout = QtWidgets.QGridLayout(Form)
+        self.gridLayout.setObjectName("gridLayout")
+        self.label_2 = QtWidgets.QLabel(Form)
+        self.label_2.setObjectName("label_2")
+        self.gridLayout.addWidget(self.label_2, 2, 1, 1, 1)
+        self.binsizeEdit = QtWidgets.QLineEdit(Form)
+        self.binsizeEdit.setObjectName("binsizeEdit")
+        self.gridLayout.addWidget(self.binsizeEdit, 3, 3, 1, 1)
+        self.shatterBox = QtWidgets.QCheckBox(Form)
+        self.shatterBox.setChecked(True)
+        self.shatterBox.setObjectName("shatterBox")
+        self.gridLayout.addWidget(self.shatterBox, 1, 6, 1, 1)
+        self.label_5 = QtWidgets.QLabel(Form)
+        self.label_5.setObjectName("label_5")
+        self.gridLayout.addWidget(self.label_5, 2, 3, 1, 1)
+        self.numofbinsEdit = QtWidgets.QLineEdit(Form)
+        self.numofbinsEdit.setObjectName("numofbinsEdit")
+        self.gridLayout.addWidget(self.numofbinsEdit, 1, 3, 1, 1)
+        self.label_4 = QtWidgets.QLabel(Form)
+        self.label_4.setObjectName("label_4")
+        self.gridLayout.addWidget(self.label_4, 0, 3, 1, 1)
+        self.position = QtWidgets.QLabel(Form)
+        self.position.setObjectName("position")
+        self.gridLayout.addWidget(self.position, 0, 0, 1, 1)
+        self.valuetobinariseEdit = QtWidgets.QLineEdit(Form)
+        self.valuetobinariseEdit.setObjectName("valuetobinariseEdit")
+        self.gridLayout.addWidget(self.valuetobinariseEdit, 1, 5, 1, 1)
+        self.onsetEdit = QtWidgets.QLineEdit(Form)
+        self.onsetEdit.setObjectName("onsetEdit")
+        self.gridLayout.addWidget(self.onsetEdit, 1, 1, 1, 1)
+        self.offsetEdit = QtWidgets.QLineEdit(Form)
+        self.offsetEdit.setObjectName("offsetEdit")
+        self.gridLayout.addWidget(self.offsetEdit, 3, 1, 1, 1)
+        self.removeButton = QtWidgets.QToolButton(Form)
+        self.removeButton.setObjectName("removeButton")
+        self.gridLayout.addWidget(self.removeButton, 1, 0, 1, 1)
+        self.shatterEdit = QtWidgets.QLineEdit(Form)
+        self.shatterEdit.setObjectName("shatterEdit")
+        self.gridLayout.addWidget(self.shatterEdit, 1, 7, 1, 1)
+        self.label_3 = QtWidgets.QLabel(Form)
+        self.label_3.setObjectName("label_3")
+        self.gridLayout.addWidget(self.label_3, 0, 5, 1, 1)
+        self.label = QtWidgets.QLabel(Form)
+        self.label.setObjectName("label")
+        self.gridLayout.addWidget(self.label, 0, 1, 1, 1)
+        self.label_6 = QtWidgets.QLabel(Form)
+        self.label_6.setObjectName("label_6")
+        self.gridLayout.addWidget(self.label_6, 0, 7, 1, 1)
+        self.line_2 = QtWidgets.QFrame(Form)
+        self.line_2.setFrameShape(QtWidgets.QFrame.HLine)
+        self.line_2.setFrameShadow(QtWidgets.QFrame.Sunken)
+        self.line_2.setObjectName("line_2")
+        self.gridLayout.addWidget(self.line_2, 4, 1, 1, 7)
+        self.shatterDutyEdit = QtWidgets.QLineEdit(Form)
+        self.shatterDutyEdit.setObjectName("shatterDutyEdit")
+        self.gridLayout.addWidget(self.shatterDutyEdit, 3, 7, 1, 1)
+        self.label_7 = QtWidgets.QLabel(Form)
+        self.label_7.setObjectName("label_7")
+        self.gridLayout.addWidget(self.label_7, 2, 7, 1, 1)
+
+        self.retranslateUi(Form)
+        QtCore.QMetaObject.connectSlotsByName(Form)
+
+    def retranslateUi(self, Form):
+        _translate = QtCore.QCoreApplication.translate
+        Form.setWindowTitle(_translate("Form", "Form"))
+        self.label_2.setText(_translate("Form", "Offset"))
+        self.binsizeEdit.setText(_translate("Form", "0.05"))
+        self.shatterBox.setText(_translate("Form", "Shatter Pulse"))
+        self.label_5.setText(_translate("Form", "Bin size"))
+        self.numofbinsEdit.setText(_translate("Form", "8"))
+        self.label_4.setText(_translate("Form", "Number of bins"))
+        self.position.setText(_translate("Form", "1"))
+        self.valuetobinariseEdit.setText(_translate("Form", "2"))
+        self.onsetEdit.setText(_translate("Form", "0.1"))
+        self.offsetEdit.setText(_translate("Form", "0.1"))
+        self.removeButton.setText(_translate("Form", "-"))
+        self.shatterEdit.setText(_translate("Form", "500"))
+        self.label_3.setText(_translate("Form", "Value to binarise"))
+        self.label.setText(_translate("Form", "Onset"))
+        self.label_6.setText(_translate("Form", "Shatter (Hz)"))
+        self.shatterDutyEdit.setText(_translate("Form", "0.5"))
+        self.label_7.setText(_translate("Form", "Shatter Duty"))
+
diff --git a/UI/mainDesign.py b/UI/mainDesign.py
new file mode 100644
index 0000000..8034e8c
--- /dev/null
+++ b/UI/mainDesign.py
@@ -0,0 +1,526 @@
+# -*- coding: utf-8 -*-
+
+# Form implementation generated from reading ui file 'PulseBoyUI_v2.ui'
+#
+# Created by: PyQt5 UI code generator 5.9
+#
+# WARNING! All changes made in this file will be lost!
+
+from PyQt5 import QtCore, QtGui, QtWidgets
+
+class Ui_MainWindow(object):
+    def setupUi(self, MainWindow):
+        MainWindow.setObjectName("MainWindow")
+        MainWindow.resize(1229, 809)
+        self.centralwidget = QtWidgets.QWidget(MainWindow)
+        self.centralwidget.setObjectName("centralwidget")
+        self.gridLayout = QtWidgets.QGridLayout(self.centralwidget)
+        self.gridLayout.setObjectName("gridLayout")
+        self.label = QtWidgets.QLabel(self.centralwidget)
+        font = QtGui.QFont()
+        font.setFamily("Lucida Console")
+        font.setPointSize(12)
+        font.setBold(True)
+        font.setWeight(75)
+        self.label.setFont(font)
+        self.label.setObjectName("label")
+        self.gridLayout.addWidget(self.label, 0, 0, 1, 1)
+        self.label_8 = QtWidgets.QLabel(self.centralwidget)
+        font = QtGui.QFont()
+        font.setFamily("Lucida Console")
+        font.setPointSize(12)
+        font.setBold(True)
+        font.setWeight(75)
+        self.label_8.setFont(font)
+        self.label_8.setObjectName("label_8")
+        self.gridLayout.addWidget(self.label_8, 2, 0, 1, 1)
+        self.valveBankScrollArea = QtWidgets.QScrollArea(self.centralwidget)
+        self.valveBankScrollArea.setWidgetResizable(True)
+        self.valveBankScrollArea.setObjectName("valveBankScrollArea")
+        self.valveBankContents = QtWidgets.QWidget()
+        self.valveBankContents.setGeometry(QtCore.QRect(0, 0, 18, 348))
+        sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Maximum, QtWidgets.QSizePolicy.Minimum)
+        sizePolicy.setHorizontalStretch(0)
+        sizePolicy.setVerticalStretch(0)
+        sizePolicy.setHeightForWidth(self.valveBankContents.sizePolicy().hasHeightForWidth())
+        self.valveBankContents.setSizePolicy(sizePolicy)
+        self.valveBankContents.setObjectName("valveBankContents")
+        self.valveBankLayout = QtWidgets.QVBoxLayout(self.valveBankContents)
+        self.valveBankLayout.setSizeConstraint(QtWidgets.QLayout.SetFixedSize)
+        self.valveBankLayout.setContentsMargins(0, 0, 0, 0)
+        self.valveBankLayout.setObjectName("valveBankLayout")
+        self.valveBankScrollArea.setWidget(self.valveBankContents)
+        self.gridLayout.addWidget(self.valveBankScrollArea, 1, 0, 1, 1)
+        self.viewWidgetTab = QtWidgets.QTabWidget(self.centralwidget)
+        self.viewWidgetTab.setObjectName("viewWidgetTab")
+        self.pulseTab = QtWidgets.QWidget()
+        self.pulseTab.setObjectName("pulseTab")
+        self.gridLayout_5 = QtWidgets.QGridLayout(self.pulseTab)
+        self.gridLayout_5.setObjectName("gridLayout_5")
+        self.graphicsView = PlotWidget(self.pulseTab)
+        sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Expanding)
+        sizePolicy.setHorizontalStretch(0)
+        sizePolicy.setVerticalStretch(0)
+        sizePolicy.setHeightForWidth(self.graphicsView.sizePolicy().hasHeightForWidth())
+        self.graphicsView.setSizePolicy(sizePolicy)
+        self.graphicsView.setObjectName("graphicsView")
+        self.gridLayout_5.addWidget(self.graphicsView, 0, 0, 1, 1)
+        self.viewWidgetTab.addTab(self.pulseTab, "")
+        self.analogDataTab = QtWidgets.QWidget()
+        self.analogDataTab.setObjectName("analogDataTab")
+        self.gridLayout_6 = QtWidgets.QGridLayout(self.analogDataTab)
+        self.gridLayout_6.setObjectName("gridLayout_6")
+        self.analogView = PlotWidget(self.analogDataTab)
+        sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Expanding)
+        sizePolicy.setHorizontalStretch(0)
+        sizePolicy.setVerticalStretch(0)
+        sizePolicy.setHeightForWidth(self.analogView.sizePolicy().hasHeightForWidth())
+        self.analogView.setSizePolicy(sizePolicy)
+        self.analogView.setObjectName("analogView")
+        self.gridLayout_6.addWidget(self.analogView, 0, 0, 1, 1)
+        self.viewWidgetTab.addTab(self.analogDataTab, "")
+        self.gridLayout.addWidget(self.viewWidgetTab, 3, 2, 1, 1)
+        self.trialBankTable = QtWidgets.QTableView(self.centralwidget)
+        sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
+        sizePolicy.setHorizontalStretch(0)
+        sizePolicy.setVerticalStretch(0)
+        sizePolicy.setHeightForWidth(self.trialBankTable.sizePolicy().hasHeightForWidth())
+        self.trialBankTable.setSizePolicy(sizePolicy)
+        font = QtGui.QFont()
+        font.setFamily("Lucida Console")
+        self.trialBankTable.setFont(font)
+        self.trialBankTable.setContextMenuPolicy(QtCore.Qt.DefaultContextMenu)
+        self.trialBankTable.setSelectionBehavior(QtWidgets.QAbstractItemView.SelectRows)
+        self.trialBankTable.setObjectName("trialBankTable")
+        self.trialBankTable.horizontalHeader().setStretchLastSection(False)
+        self.gridLayout.addWidget(self.trialBankTable, 3, 0, 1, 1)
+        self.setupTabs = QtWidgets.QTabWidget(self.centralwidget)
+        sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
+        sizePolicy.setHorizontalStretch(0)
+        sizePolicy.setVerticalStretch(0)
+        sizePolicy.setHeightForWidth(self.setupTabs.sizePolicy().hasHeightForWidth())
+        self.setupTabs.setSizePolicy(sizePolicy)
+        font = QtGui.QFont()
+        font.setFamily("Lucida Console")
+        font.setPointSize(10)
+        self.setupTabs.setFont(font)
+        self.setupTabs.setObjectName("setupTabs")
+        self.hardwareTab = QtWidgets.QWidget()
+        self.hardwareTab.setObjectName("hardwareTab")
+        self.gridLayout_2 = QtWidgets.QGridLayout(self.hardwareTab)
+        self.gridLayout_2.setObjectName("gridLayout_2")
+        self.label_22 = QtWidgets.QLabel(self.hardwareTab)
+        self.label_22.setObjectName("label_22")
+        self.gridLayout_2.addWidget(self.label_22, 9, 1, 1, 1)
+        self.carrierControlBox = QtWidgets.QCheckBox(self.hardwareTab)
+        self.carrierControlBox.setObjectName("carrierControlBox")
+        self.gridLayout_2.addWidget(self.carrierControlBox, 10, 0, 1, 1)
+        self.digitalOutDevEdit = QtWidgets.QLineEdit(self.hardwareTab)
+        self.digitalOutDevEdit.setObjectName("digitalOutDevEdit")
+        self.gridLayout_2.addWidget(self.digitalOutDevEdit, 1, 0, 1, 1)
+        self.digitalChannelsEdit = QtWidgets.QLineEdit(self.hardwareTab)
+        self.digitalChannelsEdit.setObjectName("digitalChannelsEdit")
+        self.gridLayout_2.addWidget(self.digitalChannelsEdit, 1, 1, 1, 1)
+        self.analogInDevEdit = QtWidgets.QLineEdit(self.hardwareTab)
+        self.analogInDevEdit.setObjectName("analogInDevEdit")
+        self.gridLayout_2.addWidget(self.analogInDevEdit, 3, 0, 1, 1)
+        self.analogChannelsEdit = QtWidgets.QLineEdit(self.hardwareTab)
+        self.analogChannelsEdit.setObjectName("analogChannelsEdit")
+        self.gridLayout_2.addWidget(self.analogChannelsEdit, 3, 1, 1, 1)
+        self.label_5 = QtWidgets.QLabel(self.hardwareTab)
+        self.label_5.setObjectName("label_5")
+        self.gridLayout_2.addWidget(self.label_5, 6, 0, 1, 1)
+        self.label_11 = QtWidgets.QLabel(self.hardwareTab)
+        self.label_11.setObjectName("label_11")
+        self.gridLayout_2.addWidget(self.label_11, 4, 0, 1, 1)
+        self.syncClockEdit = QtWidgets.QLineEdit(self.hardwareTab)
+        self.syncClockEdit.setObjectName("syncClockEdit")
+        self.gridLayout_2.addWidget(self.syncClockEdit, 5, 0, 1, 1)
+        self.label_4 = QtWidgets.QLabel(self.hardwareTab)
+        self.label_4.setObjectName("label_4")
+        self.gridLayout_2.addWidget(self.label_4, 0, 1, 1, 1)
+        self.sampRateEdit = QtWidgets.QLineEdit(self.hardwareTab)
+        self.sampRateEdit.setObjectName("sampRateEdit")
+        self.gridLayout_2.addWidget(self.sampRateEdit, 7, 0, 1, 1)
+        self.analogChannelsLabel = QtWidgets.QLabel(self.hardwareTab)
+        self.analogChannelsLabel.setObjectName("analogChannelsLabel")
+        self.gridLayout_2.addWidget(self.analogChannelsLabel, 2, 1, 1, 1)
+        self.label_9 = QtWidgets.QLabel(self.hardwareTab)
+        self.label_9.setObjectName("label_9")
+        self.gridLayout_2.addWidget(self.label_9, 4, 1, 1, 1)
+        self.label_2 = QtWidgets.QLabel(self.hardwareTab)
+        self.label_2.setObjectName("label_2")
+        self.gridLayout_2.addWidget(self.label_2, 0, 0, 1, 1)
+        self.triggerInEdit = QtWidgets.QLineEdit(self.hardwareTab)
+        self.triggerInEdit.setObjectName("triggerInEdit")
+        self.gridLayout_2.addWidget(self.triggerInEdit, 5, 1, 1, 1)
+        self.label_3 = QtWidgets.QLabel(self.hardwareTab)
+        self.label_3.setObjectName("label_3")
+        self.gridLayout_2.addWidget(self.label_3, 2, 0, 1, 1)
+        self.carrierDeviceEdit = QtWidgets.QLineEdit(self.hardwareTab)
+        self.carrierDeviceEdit.setObjectName("carrierDeviceEdit")
+        self.gridLayout_2.addWidget(self.carrierDeviceEdit, 10, 1, 1, 1)
+        spacerItem = QtWidgets.QSpacerItem(20, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
+        self.gridLayout_2.addItem(spacerItem, 8, 0, 1, 1)
+        self.setupTabs.addTab(self.hardwareTab, "")
+        self.globalParametersTab = QtWidgets.QWidget()
+        self.globalParametersTab.setObjectName("globalParametersTab")
+        self.gridLayout_3 = QtWidgets.QGridLayout(self.globalParametersTab)
+        self.gridLayout_3.setObjectName("gridLayout_3")
+        self.shuffleOffsetlineEdit = QtWidgets.QLineEdit(self.globalParametersTab)
+        self.shuffleOffsetlineEdit.setObjectName("shuffleOffsetlineEdit")
+        self.gridLayout_3.addWidget(self.shuffleOffsetlineEdit, 6, 0, 1, 1)
+        self.label_16 = QtWidgets.QLabel(self.globalParametersTab)
+        self.label_16.setObjectName("label_16")
+        self.gridLayout_3.addWidget(self.label_16, 2, 1, 1, 1)
+        self.shuffleGrouplineEdit = QtWidgets.QLineEdit(self.globalParametersTab)
+        self.shuffleGrouplineEdit.setObjectName("shuffleGrouplineEdit")
+        self.gridLayout_3.addWidget(self.shuffleGrouplineEdit, 6, 1, 1, 1)
+        self.invertBlankcheckBox = QtWidgets.QCheckBox(self.globalParametersTab)
+        self.invertBlankcheckBox.setObjectName("invertBlankcheckBox")
+        self.gridLayout_3.addWidget(self.invertBlankcheckBox, 3, 0, 1, 1)
+        self.label_21 = QtWidgets.QLabel(self.globalParametersTab)
+        self.label_21.setObjectName("label_21")
+        self.gridLayout_3.addWidget(self.label_21, 5, 0, 1, 1)
+        self.blankValveEdit = QtWidgets.QLineEdit(self.globalParametersTab)
+        self.blankValveEdit.setObjectName("blankValveEdit")
+        self.gridLayout_3.addWidget(self.blankValveEdit, 3, 1, 1, 1)
+        spacerItem1 = QtWidgets.QSpacerItem(20, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
+        self.gridLayout_3.addItem(spacerItem1, 4, 0, 1, 1)
+        self.globalOnsetEdit = QtWidgets.QLineEdit(self.globalParametersTab)
+        self.globalOnsetEdit.setObjectName("globalOnsetEdit")
+        self.gridLayout_3.addWidget(self.globalOnsetEdit, 1, 0, 1, 1)
+        self.label_7 = QtWidgets.QLabel(self.globalParametersTab)
+        self.label_7.setObjectName("label_7")
+        self.gridLayout_3.addWidget(self.label_7, 0, 1, 1, 1)
+        self.globalOffsetEdit = QtWidgets.QLineEdit(self.globalParametersTab)
+        self.globalOffsetEdit.setObjectName("globalOffsetEdit")
+        self.gridLayout_3.addWidget(self.globalOffsetEdit, 1, 1, 1, 1)
+        spacerItem2 = QtWidgets.QSpacerItem(20, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
+        self.gridLayout_3.addItem(spacerItem2, 7, 0, 1, 1)
+        self.label_6 = QtWidgets.QLabel(self.globalParametersTab)
+        self.label_6.setObjectName("label_6")
+        self.gridLayout_3.addWidget(self.label_6, 0, 0, 1, 1)
+        self.label_20 = QtWidgets.QLabel(self.globalParametersTab)
+        self.label_20.setObjectName("label_20")
+        self.gridLayout_3.addWidget(self.label_20, 5, 1, 1, 1)
+        self.setupTabs.addTab(self.globalParametersTab, "")
+        self.experimentSetupTab = QtWidgets.QWidget()
+        self.experimentSetupTab.setObjectName("experimentSetupTab")
+        self.gridLayout_4 = QtWidgets.QGridLayout(self.experimentSetupTab)
+        self.gridLayout_4.setObjectName("gridLayout_4")
+        self.closeValvesButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.closeValvesButton.setObjectName("closeValvesButton")
+        self.gridLayout_4.addWidget(self.closeValvesButton, 0, 2, 1, 1)
+        self.randomiseTrialsButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.randomiseTrialsButton.setObjectName("randomiseTrialsButton")
+        self.gridLayout_4.addWidget(self.randomiseTrialsButton, 7, 0, 1, 1)
+        self.runSelectedButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.runSelectedButton.setObjectName("runSelectedButton")
+        self.gridLayout_4.addWidget(self.runSelectedButton, 9, 0, 1, 1)
+        self.moveUpButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.moveUpButton.setObjectName("moveUpButton")
+        self.gridLayout_4.addWidget(self.moveUpButton, 3, 1, 1, 1)
+        self.startQueueFromSelectedButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.startQueueFromSelectedButton.setObjectName("startQueueFromSelectedButton")
+        self.gridLayout_4.addWidget(self.startQueueFromSelectedButton, 9, 1, 1, 1)
+        self.horizontalLayout = QtWidgets.QHBoxLayout()
+        self.horizontalLayout.setObjectName("horizontalLayout")
+        self.label_10 = QtWidgets.QLabel(self.experimentSetupTab)
+        self.label_10.setObjectName("label_10")
+        self.horizontalLayout.addWidget(self.label_10)
+        self.repeatsBox = QtWidgets.QSpinBox(self.experimentSetupTab)
+        self.repeatsBox.setMaximum(1000000)
+        self.repeatsBox.setProperty("value", 1)
+        self.repeatsBox.setObjectName("repeatsBox")
+        self.horizontalLayout.addWidget(self.repeatsBox)
+        self.gridLayout_4.addLayout(self.horizontalLayout, 7, 1, 1, 1)
+        self.startQueueButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.startQueueButton.setObjectName("startQueueButton")
+        self.gridLayout_4.addWidget(self.startQueueButton, 8, 0, 1, 1)
+        self.shuffleRepeatsBox = QtWidgets.QCheckBox(self.experimentSetupTab)
+        self.shuffleRepeatsBox.setObjectName("shuffleRepeatsBox")
+        self.gridLayout_4.addWidget(self.shuffleRepeatsBox, 7, 2, 1, 1)
+        self.addValveButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.addValveButton.setObjectName("addValveButton")
+        self.gridLayout_4.addWidget(self.addValveButton, 0, 0, 1, 1)
+        self.triggerWaitCheckBox = QtWidgets.QCheckBox(self.experimentSetupTab)
+        self.triggerWaitCheckBox.setObjectName("triggerWaitCheckBox")
+        self.gridLayout_4.addWidget(self.triggerWaitCheckBox, 9, 2, 1, 1)
+        self.valveTypeCombo = QtWidgets.QComboBox(self.experimentSetupTab)
+        self.valveTypeCombo.setObjectName("valveTypeCombo")
+        self.valveTypeCombo.addItem("")
+        self.valveTypeCombo.addItem("")
+        self.valveTypeCombo.addItem("")
+        self.valveTypeCombo.addItem("")
+        self.valveTypeCombo.addItem("")
+        self.gridLayout_4.addWidget(self.valveTypeCombo, 0, 1, 1, 1)
+        spacerItem3 = QtWidgets.QSpacerItem(20, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
+        self.gridLayout_4.addItem(spacerItem3, 4, 0, 1, 1)
+        self.updateTrialButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.updateTrialButton.setObjectName("updateTrialButton")
+        self.gridLayout_4.addWidget(self.updateTrialButton, 2, 1, 1, 1)
+        self.moveDownButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.moveDownButton.setObjectName("moveDownButton")
+        self.gridLayout_4.addWidget(self.moveDownButton, 3, 2, 1, 1)
+        self.trialNameEdit = QtWidgets.QLineEdit(self.experimentSetupTab)
+        sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Maximum, QtWidgets.QSizePolicy.Fixed)
+        sizePolicy.setHorizontalStretch(0)
+        sizePolicy.setVerticalStretch(0)
+        sizePolicy.setHeightForWidth(self.trialNameEdit.sizePolicy().hasHeightForWidth())
+        self.trialNameEdit.setSizePolicy(sizePolicy)
+        self.trialNameEdit.setObjectName("trialNameEdit")
+        self.gridLayout_4.addWidget(self.trialNameEdit, 3, 0, 1, 1)
+        spacerItem4 = QtWidgets.QSpacerItem(20, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
+        self.gridLayout_4.addItem(spacerItem4, 1, 0, 1, 1)
+        self.removeTrialButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.removeTrialButton.setObjectName("removeTrialButton")
+        self.gridLayout_4.addWidget(self.removeTrialButton, 2, 2, 1, 1)
+        self.addTrialButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.addTrialButton.setObjectName("addTrialButton")
+        self.gridLayout_4.addWidget(self.addTrialButton, 2, 0, 1, 1)
+        self.pauseQueueButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.pauseQueueButton.setObjectName("pauseQueueButton")
+        self.gridLayout_4.addWidget(self.pauseQueueButton, 8, 1, 1, 1)
+        self.stopQueueButton = QtWidgets.QPushButton(self.experimentSetupTab)
+        self.stopQueueButton.setObjectName("stopQueueButton")
+        self.gridLayout_4.addWidget(self.stopQueueButton, 8, 2, 1, 1)
+        self.setupTabs.addTab(self.experimentSetupTab, "")
+        self.dataExportTab = QtWidgets.QWidget()
+        self.dataExportTab.setObjectName("dataExportTab")
+        self.gridLayout_7 = QtWidgets.QGridLayout(self.dataExportTab)
+        self.gridLayout_7.setObjectName("gridLayout_7")
+        self.horizontalLayout_3 = QtWidgets.QHBoxLayout()
+        self.horizontalLayout_3.setObjectName("horizontalLayout_3")
+        self.label_18 = QtWidgets.QLabel(self.dataExportTab)
+        self.label_18.setObjectName("label_18")
+        self.horizontalLayout_3.addWidget(self.label_18)
+        self.label_15 = QtWidgets.QLabel(self.dataExportTab)
+        self.label_15.setObjectName("label_15")
+        self.horizontalLayout_3.addWidget(self.label_15)
+        self.gridLayout_7.addLayout(self.horizontalLayout_3, 10, 1, 1, 1)
+        self.horizontalLayout_2 = QtWidgets.QHBoxLayout()
+        self.horizontalLayout_2.setObjectName("horizontalLayout_2")
+        self.saveTrialStartscheckBox = QtWidgets.QCheckBox(self.dataExportTab)
+        self.saveTrialStartscheckBox.setChecked(True)
+        self.saveTrialStartscheckBox.setObjectName("saveTrialStartscheckBox")
+        self.horizontalLayout_2.addWidget(self.saveTrialStartscheckBox)
+        self.saveCameraVideocheckBox = QtWidgets.QCheckBox(self.dataExportTab)
+        self.saveCameraVideocheckBox.setChecked(True)
+        self.saveCameraVideocheckBox.setObjectName("saveCameraVideocheckBox")
+        self.horizontalLayout_2.addWidget(self.saveCameraVideocheckBox)
+        self.gridLayout_7.addLayout(self.horizontalLayout_2, 9, 1, 1, 1)
+        self.horizontalLayout_7 = QtWidgets.QHBoxLayout()
+        self.horizontalLayout_7.setObjectName("horizontalLayout_7")
+        self.trialStartsSuffixEdit = QtWidgets.QLineEdit(self.dataExportTab)
+        self.trialStartsSuffixEdit.setObjectName("trialStartsSuffixEdit")
+        self.horizontalLayout_7.addWidget(self.trialStartsSuffixEdit)
+        self.cameraSuffixEdit = QtWidgets.QLineEdit(self.dataExportTab)
+        self.cameraSuffixEdit.setObjectName("cameraSuffixEdit")
+        self.horizontalLayout_7.addWidget(self.cameraSuffixEdit)
+        self.gridLayout_7.addLayout(self.horizontalLayout_7, 11, 1, 1, 1)
+        self.exportPathEdit = QtWidgets.QLineEdit(self.dataExportTab)
+        self.exportPathEdit.setText("")
+        self.exportPathEdit.setObjectName("exportPathEdit")
+        self.gridLayout_7.addWidget(self.exportPathEdit, 3, 1, 1, 1)
+        self.horizontalLayout_6 = QtWidgets.QHBoxLayout()
+        self.horizontalLayout_6.setObjectName("horizontalLayout_6")
+        self.trialNameSuffixEdit = QtWidgets.QLineEdit(self.dataExportTab)
+        self.trialNameSuffixEdit.setObjectName("trialNameSuffixEdit")
+        self.horizontalLayout_6.addWidget(self.trialNameSuffixEdit)
+        self.pulseSuffixEdit = QtWidgets.QLineEdit(self.dataExportTab)
+        self.pulseSuffixEdit.setObjectName("pulseSuffixEdit")
+        self.horizontalLayout_6.addWidget(self.pulseSuffixEdit)
+        self.gridLayout_7.addLayout(self.horizontalLayout_6, 8, 1, 1, 1)
+        self.label_12 = QtWidgets.QLabel(self.dataExportTab)
+        self.label_12.setObjectName("label_12")
+        self.gridLayout_7.addWidget(self.label_12, 3, 0, 1, 1)
+        spacerItem5 = QtWidgets.QSpacerItem(20, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
+        self.gridLayout_7.addItem(spacerItem5, 2, 1, 1, 1)
+        spacerItem6 = QtWidgets.QSpacerItem(20, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
+        self.gridLayout_7.addItem(spacerItem6, 12, 1, 1, 1)
+        self.horizontalLayout_4 = QtWidgets.QHBoxLayout()
+        self.horizontalLayout_4.setSizeConstraint(QtWidgets.QLayout.SetDefaultConstraint)
+        self.horizontalLayout_4.setSpacing(6)
+        self.horizontalLayout_4.setObjectName("horizontalLayout_4")
+        self.trialNameCheckBox = QtWidgets.QCheckBox(self.dataExportTab)
+        self.trialNameCheckBox.setChecked(True)
+        self.trialNameCheckBox.setObjectName("trialNameCheckBox")
+        self.horizontalLayout_4.addWidget(self.trialNameCheckBox)
+        self.pulseCheckBox = QtWidgets.QCheckBox(self.dataExportTab)
+        self.pulseCheckBox.setObjectName("pulseCheckBox")
+        self.horizontalLayout_4.addWidget(self.pulseCheckBox)
+        self.gridLayout_7.addLayout(self.horizontalLayout_4, 5, 1, 1, 1)
+        self.horizontalLayout_5 = QtWidgets.QHBoxLayout()
+        self.horizontalLayout_5.setObjectName("horizontalLayout_5")
+        self.label_14 = QtWidgets.QLabel(self.dataExportTab)
+        self.label_14.setObjectName("label_14")
+        self.horizontalLayout_5.addWidget(self.label_14)
+        self.label_13 = QtWidgets.QLabel(self.dataExportTab)
+        self.label_13.setObjectName("label_13")
+        self.horizontalLayout_5.addWidget(self.label_13)
+        self.gridLayout_7.addLayout(self.horizontalLayout_5, 7, 1, 1, 1)
+        self.exportPathDirButton = QtWidgets.QPushButton(self.dataExportTab)
+        self.exportPathDirButton.setObjectName("exportPathDirButton")
+        self.gridLayout_7.addWidget(self.exportPathDirButton, 3, 2, 1, 1)
+        self.setupTabs.addTab(self.dataExportTab, "")
+        self.cameraTab = QtWidgets.QWidget()
+        self.cameraTab.setObjectName("cameraTab")
+        self.gridLayout_8 = QtWidgets.QGridLayout(self.cameraTab)
+        self.gridLayout_8.setObjectName("gridLayout_8")
+        spacerItem7 = QtWidgets.QSpacerItem(20, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
+        self.gridLayout_8.addItem(spacerItem7, 3, 0, 1, 2)
+        spacerItem8 = QtWidgets.QSpacerItem(20, 40, QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Expanding)
+        self.gridLayout_8.addItem(spacerItem8, 10, 0, 1, 2)
+        self.label_19 = QtWidgets.QLabel(self.cameraTab)
+        self.label_19.setObjectName("label_19")
+        self.gridLayout_8.addWidget(self.label_19, 5, 1, 1, 1)
+        self.cameraSaveIconBox = QtWidgets.QCheckBox(self.cameraTab)
+        self.cameraSaveIconBox.setChecked(True)
+        self.cameraSaveIconBox.setObjectName("cameraSaveIconBox")
+        self.gridLayout_8.addWidget(self.cameraSaveIconBox, 7, 0, 1, 1)
+        self.label_17 = QtWidgets.QLabel(self.cameraTab)
+        self.label_17.setObjectName("label_17")
+        self.gridLayout_8.addWidget(self.label_17, 5, 0, 1, 1)
+        self.cameraSaveIntervalEdit = QtWidgets.QLineEdit(self.cameraTab)
+        self.cameraSaveIntervalEdit.setObjectName("cameraSaveIntervalEdit")
+        self.gridLayout_8.addWidget(self.cameraSaveIntervalEdit, 6, 0, 1, 1)
+        self.numberCamerasEdit = QtWidgets.QLineEdit(self.cameraTab)
+        self.numberCamerasEdit.setObjectName("numberCamerasEdit")
+        self.gridLayout_8.addWidget(self.numberCamerasEdit, 6, 1, 1, 1)
+        self.launchCameraButton = QtWidgets.QPushButton(self.cameraTab)
+        self.launchCameraButton.setObjectName("launchCameraButton")
+        self.gridLayout_8.addWidget(self.launchCameraButton, 4, 0, 1, 2)
+        self.blackAndWhiteBox = QtWidgets.QCheckBox(self.cameraTab)
+        self.blackAndWhiteBox.setChecked(True)
+        self.blackAndWhiteBox.setObjectName("blackAndWhiteBox")
+        self.gridLayout_8.addWidget(self.blackAndWhiteBox, 7, 1, 1, 1)
+        self.showStreamcheckBox = QtWidgets.QCheckBox(self.cameraTab)
+        self.showStreamcheckBox.setChecked(True)
+        self.showStreamcheckBox.setObjectName("showStreamcheckBox")
+        self.gridLayout_8.addWidget(self.showStreamcheckBox, 8, 1, 1, 1)
+        self.closeCamerasButton = QtWidgets.QPushButton(self.cameraTab)
+        self.closeCamerasButton.setObjectName("closeCamerasButton")
+        self.gridLayout_8.addWidget(self.closeCamerasButton, 8, 0, 1, 1)
+        self.updateCamerasButton = QtWidgets.QPushButton(self.cameraTab)
+        self.updateCamerasButton.setObjectName("updateCamerasButton")
+        self.gridLayout_8.addWidget(self.updateCamerasButton, 9, 0, 1, 1)
+        self.setupTabs.addTab(self.cameraTab, "")
+        self.gridLayout.addWidget(self.setupTabs, 1, 2, 1, 1)
+        MainWindow.setCentralWidget(self.centralwidget)
+        self.menubar = QtWidgets.QMenuBar(MainWindow)
+        self.menubar.setGeometry(QtCore.QRect(0, 0, 1229, 21))
+        self.menubar.setObjectName("menubar")
+        self.menuFile = QtWidgets.QMenu(self.menubar)
+        self.menuFile.setObjectName("menuFile")
+        MainWindow.setMenuBar(self.menubar)
+        self.statusbar = QtWidgets.QStatusBar(MainWindow)
+        self.statusbar.setObjectName("statusbar")
+        MainWindow.setStatusBar(self.statusbar)
+        self.actionSave = QtWidgets.QAction(MainWindow)
+        self.actionSave.setObjectName("actionSave")
+        self.actionLoad = QtWidgets.QAction(MainWindow)
+        self.actionLoad.setObjectName("actionLoad")
+        self.actionSave_Configuration = QtWidgets.QAction(MainWindow)
+        self.actionSave_Configuration.setObjectName("actionSave_Configuration")
+        self.menuFile.addAction(self.actionSave)
+        self.menuFile.addAction(self.actionLoad)
+        self.menuFile.addAction(self.actionSave_Configuration)
+        self.menubar.addAction(self.menuFile.menuAction())
+
+        self.retranslateUi(MainWindow)
+        self.viewWidgetTab.setCurrentIndex(0)
+        self.setupTabs.setCurrentIndex(0)
+        QtCore.QMetaObject.connectSlotsByName(MainWindow)
+
+    def retranslateUi(self, MainWindow):
+        _translate = QtCore.QCoreApplication.translate
+        MainWindow.setWindowTitle(_translate("MainWindow", "MainWindow"))
+        self.label.setText(_translate("MainWindow", "Valve Bank"))
+        self.label_8.setText(_translate("MainWindow", "Trial Bank"))
+        self.viewWidgetTab.setTabText(self.viewWidgetTab.indexOf(self.pulseTab), _translate("MainWindow", "Pulses"))
+        self.viewWidgetTab.setTabText(self.viewWidgetTab.indexOf(self.analogDataTab), _translate("MainWindow", "Analog Data"))
+        self.label_22.setText(_translate("MainWindow", "Carrier flow out device"))
+        self.carrierControlBox.setText(_translate("MainWindow", "Control carrier flow"))
+        self.digitalOutDevEdit.setText(_translate("MainWindow", "dev2/port0/line0:3"))
+        self.digitalChannelsEdit.setText(_translate("MainWindow", "4"))
+        self.analogInDevEdit.setText(_translate("MainWindow", "dev2/ai4"))
+        self.analogChannelsEdit.setText(_translate("MainWindow", "1"))
+        self.label_5.setText(_translate("MainWindow", "Sampling Rate"))
+        self.label_11.setText(_translate("MainWindow", "Synchronisation Clock"))
+        self.syncClockEdit.setText(_translate("MainWindow", "/dev2/ai/SampleClock"))
+        self.label_4.setText(_translate("MainWindow", "Digital Channels"))
+        self.sampRateEdit.setText(_translate("MainWindow", "20000"))
+        self.analogChannelsLabel.setText(_translate("MainWindow", "Analog Channels"))
+        self.label_9.setText(_translate("MainWindow", "Trigger In Source"))
+        self.label_2.setText(_translate("MainWindow", "Digital Out Device"))
+        self.triggerInEdit.setText(_translate("MainWindow", "cDAQ1Mod2/ai3"))
+        self.label_3.setText(_translate("MainWindow", "Analog Input Device"))
+        self.carrierDeviceEdit.setText(_translate("MainWindow", "dev2/port0/line5"))
+        self.setupTabs.setTabText(self.setupTabs.indexOf(self.hardwareTab), _translate("MainWindow", "Hardware"))
+        self.shuffleOffsetlineEdit.setText(_translate("MainWindow", "0"))
+        self.label_16.setText(_translate("MainWindow", "Blank valve indexes (0 indexing)"))
+        self.shuffleGrouplineEdit.setText(_translate("MainWindow", "1"))
+        self.invertBlankcheckBox.setText(_translate("MainWindow", "Invert blank off state"))
+        self.label_21.setText(_translate("MainWindow", "Shuffle offset"))
+        self.globalOnsetEdit.setText(_translate("MainWindow", "0"))
+        self.label_7.setText(_translate("MainWindow", "Offset"))
+        self.globalOffsetEdit.setText(_translate("MainWindow", "0"))
+        self.label_6.setText(_translate("MainWindow", "Onset"))
+        self.label_20.setText(_translate("MainWindow", "Shuffle group size"))
+        self.setupTabs.setTabText(self.setupTabs.indexOf(self.globalParametersTab), _translate("MainWindow", "Global Parameters"))
+        self.closeValvesButton.setText(_translate("MainWindow", "Close all valves"))
+        self.randomiseTrialsButton.setText(_translate("MainWindow", "Randomise trials"))
+        self.runSelectedButton.setText(_translate("MainWindow", "Run Selected"))
+        self.moveUpButton.setText(_translate("MainWindow", "Move Up"))
+        self.startQueueFromSelectedButton.setText(_translate("MainWindow", "Start Queue from Selected"))
+        self.label_10.setText(_translate("MainWindow", "Repeats"))
+        self.startQueueButton.setText(_translate("MainWindow", "Start Queue"))
+        self.shuffleRepeatsBox.setText(_translate("MainWindow", "Shuffle repeats"))
+        self.addValveButton.setText(_translate("MainWindow", "Add Valve"))
+        self.triggerWaitCheckBox.setText(_translate("MainWindow", "Wait for trigger"))
+        self.valveTypeCombo.setItemText(0, _translate("MainWindow", "Simple"))
+        self.valveTypeCombo.setItemText(1, _translate("MainWindow", "Binary"))
+        self.valveTypeCombo.setItemText(2, _translate("MainWindow", "Anti Plume"))
+        self.valveTypeCombo.setItemText(3, _translate("MainWindow", "Noise"))
+        self.valveTypeCombo.setItemText(4, _translate("MainWindow", "Plume"))
+        self.updateTrialButton.setText(_translate("MainWindow", "Update Trial"))
+        self.moveDownButton.setText(_translate("MainWindow", "Move Down"))
+        self.trialNameEdit.setText(_translate("MainWindow", "Trial Name"))
+        self.removeTrialButton.setText(_translate("MainWindow", "Remove Trial"))
+        self.addTrialButton.setText(_translate("MainWindow", "Add To Trials"))
+        self.pauseQueueButton.setText(_translate("MainWindow", "Pause Queue"))
+        self.stopQueueButton.setText(_translate("MainWindow", "Stop Queue"))
+        self.setupTabs.setTabText(self.setupTabs.indexOf(self.experimentSetupTab), _translate("MainWindow", "Experiment"))
+        self.label_18.setText(_translate("MainWindow", "Time suffix"))
+        self.label_15.setText(_translate("MainWindow", "Camera suffix"))
+        self.saveTrialStartscheckBox.setText(_translate("MainWindow", "Save trial start times"))
+        self.saveCameraVideocheckBox.setText(_translate("MainWindow", "Save camera video"))
+        self.trialStartsSuffixEdit.setText(_translate("MainWindow", "trial_starts"))
+        self.cameraSuffixEdit.setText(_translate("MainWindow", "camera"))
+        self.trialNameSuffixEdit.setText(_translate("MainWindow", "trial_name"))
+        self.pulseSuffixEdit.setText(_translate("MainWindow", "data"))
+        self.label_12.setText(_translate("MainWindow", "Save path"))
+        self.trialNameCheckBox.setText(_translate("MainWindow", "Save trial names"))
+        self.pulseCheckBox.setText(_translate("MainWindow", "Save pulses"))
+        self.label_14.setText(_translate("MainWindow", "Name suffix"))
+        self.label_13.setText(_translate("MainWindow", "Pulse suffix"))
+        self.exportPathDirButton.setText(_translate("MainWindow", "..."))
+        self.setupTabs.setTabText(self.setupTabs.indexOf(self.dataExportTab), _translate("MainWindow", "Data"))
+        self.label_19.setText(_translate("MainWindow", "Number of cameras"))
+        self.cameraSaveIconBox.setText(_translate("MainWindow", "Camera save icon"))
+        self.label_17.setText(_translate("MainWindow", "Camera save interval (s)"))
+        self.cameraSaveIntervalEdit.setText(_translate("MainWindow", "600"))
+        self.numberCamerasEdit.setText(_translate("MainWindow", "2"))
+        self.launchCameraButton.setText(_translate("MainWindow", "Launch camera(s)"))
+        self.blackAndWhiteBox.setText(_translate("MainWindow", "Black and white"))
+        self.showStreamcheckBox.setText(_translate("MainWindow", "Show stream"))
+        self.closeCamerasButton.setText(_translate("MainWindow", "Close cameras(s)"))
+        self.updateCamerasButton.setText(_translate("MainWindow", "Update camera(s)"))
+        self.setupTabs.setTabText(self.setupTabs.indexOf(self.cameraTab), _translate("MainWindow", "Cameras"))
+        self.menuFile.setTitle(_translate("MainWindow", "File"))
+        self.actionSave.setText(_translate("MainWindow", "Save"))
+        self.actionLoad.setText(_translate("MainWindow", "Load"))
+        self.actionSave_Configuration.setText(_translate("MainWindow", "Save Configuration"))
+
+from pyqtgraph import PlotWidget
diff --git a/UI/noiseValveWidget.py b/UI/noiseValveWidget.py
new file mode 100644
index 0000000..02f4af0
--- /dev/null
+++ b/UI/noiseValveWidget.py
@@ -0,0 +1,125 @@
+# -*- coding: utf-8 -*-
+
+# Form implementation generated from reading ui file 'NoiseValveWidget.ui'
+#
+# Created by: PyQt5 UI code generator 5.9
+#
+# WARNING! All changes made in this file will be lost!
+
+from PyQt5 import QtCore, QtGui, QtWidgets
+
+class Ui_Form(object):
+    def setupUi(self, Form):
+        Form.setObjectName("Form")
+        Form.resize(681, 76)
+        sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Preferred, QtWidgets.QSizePolicy.Preferred)
+        sizePolicy.setHorizontalStretch(0)
+        sizePolicy.setVerticalStretch(0)
+        sizePolicy.setHeightForWidth(Form.sizePolicy().hasHeightForWidth())
+        Form.setSizePolicy(sizePolicy)
+        font = QtGui.QFont()
+        font.setFamily("Lucida Console")
+        Form.setFont(font)
+        self.gridLayout = QtWidgets.QGridLayout(Form)
+        self.gridLayout.setObjectName("gridLayout")
+        self.lengthEdit = QtWidgets.QLineEdit(Form)
+        self.lengthEdit.setEnabled(False)
+        self.lengthEdit.setObjectName("lengthEdit")
+        self.gridLayout.addWidget(self.lengthEdit, 1, 9, 1, 1)
+        self.onsetEdit = QtWidgets.QLineEdit(Form)
+        self.onsetEdit.setObjectName("onsetEdit")
+        self.gridLayout.addWidget(self.onsetEdit, 1, 1, 1, 1)
+        self.label_2 = QtWidgets.QLabel(Form)
+        self.label_2.setObjectName("label_2")
+        self.gridLayout.addWidget(self.label_2, 0, 2, 1, 1)
+        self.label = QtWidgets.QLabel(Form)
+        self.label.setObjectName("label")
+        self.gridLayout.addWidget(self.label, 0, 1, 1, 1)
+        self.offsetEdit = QtWidgets.QLineEdit(Form)
+        self.offsetEdit.setObjectName("offsetEdit")
+        self.gridLayout.addWidget(self.offsetEdit, 1, 2, 1, 1)
+        self.line_2 = QtWidgets.QFrame(Form)
+        self.line_2.setFrameShape(QtWidgets.QFrame.HLine)
+        self.line_2.setFrameShadow(QtWidgets.QFrame.Sunken)
+        self.line_2.setObjectName("line_2")
+        self.gridLayout.addWidget(self.line_2, 2, 1, 1, 9)
+        self.label_7 = QtWidgets.QLabel(Form)
+        self.label_7.setObjectName("label_7")
+        self.gridLayout.addWidget(self.label_7, 0, 7, 1, 1)
+        self.label_6 = QtWidgets.QLabel(Form)
+        self.label_6.setObjectName("label_6")
+        self.gridLayout.addWidget(self.label_6, 0, 6, 1, 1)
+        self.seedEdit = QtWidgets.QLineEdit(Form)
+        self.seedEdit.setObjectName("seedEdit")
+        self.gridLayout.addWidget(self.seedEdit, 1, 4, 1, 1)
+        self.ampMaxEdit = QtWidgets.QLineEdit(Form)
+        self.ampMaxEdit.setObjectName("ampMaxEdit")
+        self.gridLayout.addWidget(self.ampMaxEdit, 1, 7, 1, 1)
+        self.repeatsEdit = QtWidgets.QLineEdit(Form)
+        self.repeatsEdit.setObjectName("repeatsEdit")
+        self.gridLayout.addWidget(self.repeatsEdit, 0, 9, 1, 1)
+        self.frequencyEdit = QtWidgets.QLineEdit(Form)
+        self.frequencyEdit.setObjectName("frequencyEdit")
+        self.gridLayout.addWidget(self.frequencyEdit, 1, 3, 1, 1)
+        self.repeatsRadio = QtWidgets.QRadioButton(Form)
+        self.repeatsRadio.setChecked(True)
+        self.repeatsRadio.setAutoExclusive(False)
+        self.repeatsRadio.setObjectName("repeatsRadio")
+        self.gridLayout.addWidget(self.repeatsRadio, 0, 8, 1, 1)
+        self.ampMinEdit = QtWidgets.QLineEdit(Form)
+        self.ampMinEdit.setObjectName("ampMinEdit")
+        self.gridLayout.addWidget(self.ampMinEdit, 1, 6, 1, 1)
+        self.lengthRadio = QtWidgets.QRadioButton(Form)
+        self.lengthRadio.setAutoExclusive(False)
+        self.lengthRadio.setObjectName("lengthRadio")
+        self.gridLayout.addWidget(self.lengthRadio, 1, 8, 1, 1)
+        self.label_8 = QtWidgets.QLabel(Form)
+        self.label_8.setObjectName("label_8")
+        self.gridLayout.addWidget(self.label_8, 0, 5, 1, 1)
+        self.label_4 = QtWidgets.QLabel(Form)
+        self.label_4.setObjectName("label_4")
+        self.gridLayout.addWidget(self.label_4, 0, 3, 1, 1)
+        self.shatterHzEdit = QtWidgets.QLineEdit(Form)
+        self.shatterHzEdit.setObjectName("shatterHzEdit")
+        self.gridLayout.addWidget(self.shatterHzEdit, 1, 5, 1, 1)
+        self.label_5 = QtWidgets.QLabel(Form)
+        self.label_5.setObjectName("label_5")
+        self.gridLayout.addWidget(self.label_5, 0, 4, 1, 1)
+        self.removeButton = QtWidgets.QToolButton(Form)
+        self.removeButton.setObjectName("removeButton")
+        self.gridLayout.addWidget(self.removeButton, 1, 0, 1, 1)
+        self.position = QtWidgets.QLabel(Form)
+        self.position.setObjectName("position")
+        self.gridLayout.addWidget(self.position, 0, 0, 1, 1)
+
+        self.retranslateUi(Form)
+        self.repeatsRadio.clicked.connect(self.lengthRadio.toggle)
+        self.lengthRadio.clicked.connect(self.repeatsRadio.toggle)
+        self.repeatsRadio.toggled['bool'].connect(self.repeatsEdit.setEnabled)
+        self.lengthRadio.toggled['bool'].connect(self.lengthEdit.setEnabled)
+        QtCore.QMetaObject.connectSlotsByName(Form)
+
+    def retranslateUi(self, Form):
+        _translate = QtCore.QCoreApplication.translate
+        Form.setWindowTitle(_translate("Form", "Form"))
+        self.lengthEdit.setText(_translate("Form", "1"))
+        self.onsetEdit.setText(_translate("Form", "0.1"))
+        self.label_2.setText(_translate("Form", "Offset"))
+        self.label.setText(_translate("Form", "Onset"))
+        self.offsetEdit.setText(_translate("Form", "0.1"))
+        self.label_7.setText(_translate("Form", "Amp Max (/1)"))
+        self.label_6.setText(_translate("Form", "Amp Min (/1)"))
+        self.seedEdit.setText(_translate("Form", "1"))
+        self.ampMaxEdit.setText(_translate("Form", "0.9"))
+        self.repeatsEdit.setText(_translate("Form", "5"))
+        self.frequencyEdit.setText(_translate("Form", "20"))
+        self.repeatsRadio.setText(_translate("Form", "Repeats"))
+        self.ampMinEdit.setText(_translate("Form", "0.1"))
+        self.lengthRadio.setText(_translate("Form", "Length (s)"))
+        self.label_8.setText(_translate("Form", "Shatter (Hz)"))
+        self.label_4.setText(_translate("Form", "Frequncy (Hz)"))
+        self.shatterHzEdit.setText(_translate("Form", "500"))
+        self.label_5.setText(_translate("Form", "Seed"))
+        self.removeButton.setText(_translate("Form", "-"))
+        self.position.setText(_translate("Form", "1"))
+
diff --git a/UI/plumeValveWidget.py b/UI/plumeValveWidget.py
new file mode 100644
index 0000000..33c157a
--- /dev/null
+++ b/UI/plumeValveWidget.py
@@ -0,0 +1,93 @@
+# -*- coding: utf-8 -*-
+
+# Form implementation generated from reading ui file 'PlumeValveWidget.ui'
+#
+# Created by: PyQt5 UI code generator 5.9
+#
+# WARNING! All changes made in this file will be lost!
+
+from PyQt5 import QtCore, QtGui, QtWidgets
+
+class Ui_Form(object):
+    def setupUi(self, Form):
+        Form.setObjectName("Form")
+        Form.resize(848, 76)
+        sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Preferred, QtWidgets.QSizePolicy.Preferred)
+        sizePolicy.setHorizontalStretch(0)
+        sizePolicy.setVerticalStretch(0)
+        sizePolicy.setHeightForWidth(Form.sizePolicy().hasHeightForWidth())
+        Form.setSizePolicy(sizePolicy)
+        font = QtGui.QFont()
+        font.setFamily("Lucida Console")
+        Form.setFont(font)
+        self.gridLayout = QtWidgets.QGridLayout(Form)
+        self.gridLayout.setObjectName("gridLayout")
+        self.plumeDataLabel = QtWidgets.QLabel(Form)
+        self.plumeDataLabel.setObjectName("plumeDataLabel")
+        self.gridLayout.addWidget(self.plumeDataLabel, 1, 5, 1, 1)
+        self.label_5 = QtWidgets.QLabel(Form)
+        self.label_5.setObjectName("label_5")
+        self.gridLayout.addWidget(self.label_5, 0, 6, 1, 1)
+        self.targetMaxEdit = QtWidgets.QLineEdit(Form)
+        self.targetMaxEdit.setObjectName("targetMaxEdit")
+        self.gridLayout.addWidget(self.targetMaxEdit, 1, 7, 1, 1)
+        self.line_2 = QtWidgets.QFrame(Form)
+        self.line_2.setFrameShape(QtWidgets.QFrame.HLine)
+        self.line_2.setFrameShadow(QtWidgets.QFrame.Sunken)
+        self.line_2.setObjectName("line_2")
+        self.gridLayout.addWidget(self.line_2, 2, 2, 1, 6)
+        self.label_2 = QtWidgets.QLabel(Form)
+        self.label_2.setObjectName("label_2")
+        self.gridLayout.addWidget(self.label_2, 0, 3, 1, 1)
+        self.label_3 = QtWidgets.QLabel(Form)
+        self.label_3.setObjectName("label_3")
+        self.gridLayout.addWidget(self.label_3, 0, 7, 1, 1)
+        self.offsetEdit = QtWidgets.QLineEdit(Form)
+        self.offsetEdit.setObjectName("offsetEdit")
+        self.gridLayout.addWidget(self.offsetEdit, 1, 3, 1, 1)
+        self.onsetEdit = QtWidgets.QLineEdit(Form)
+        self.onsetEdit.setObjectName("onsetEdit")
+        self.gridLayout.addWidget(self.onsetEdit, 1, 2, 1, 1)
+        self.label = QtWidgets.QLabel(Form)
+        self.label.setObjectName("label")
+        self.gridLayout.addWidget(self.label, 0, 2, 1, 1)
+        self.dataSamplingRateEdit = QtWidgets.QLineEdit(Form)
+        self.dataSamplingRateEdit.setObjectName("dataSamplingRateEdit")
+        self.gridLayout.addWidget(self.dataSamplingRateEdit, 1, 6, 1, 1)
+        self.label_8 = QtWidgets.QLabel(Form)
+        self.label_8.setObjectName("label_8")
+        self.gridLayout.addWidget(self.label_8, 0, 4, 1, 1)
+        self.removeButton = QtWidgets.QToolButton(Form)
+        self.removeButton.setObjectName("removeButton")
+        self.gridLayout.addWidget(self.removeButton, 1, 0, 1, 1)
+        self.shatterHzEdit = QtWidgets.QLineEdit(Form)
+        self.shatterHzEdit.setObjectName("shatterHzEdit")
+        self.gridLayout.addWidget(self.shatterHzEdit, 1, 4, 1, 1)
+        self.openPlumeDataButton = QtWidgets.QPushButton(Form)
+        self.openPlumeDataButton.setObjectName("openPlumeDataButton")
+        self.gridLayout.addWidget(self.openPlumeDataButton, 0, 5, 1, 1)
+        self.position = QtWidgets.QLabel(Form)
+        self.position.setObjectName("position")
+        self.gridLayout.addWidget(self.position, 0, 0, 1, 1)
+
+        self.retranslateUi(Form)
+        QtCore.QMetaObject.connectSlotsByName(Form)
+
+    def retranslateUi(self, Form):
+        _translate = QtCore.QCoreApplication.translate
+        Form.setWindowTitle(_translate("Form", "Form"))
+        self.plumeDataLabel.setText(_translate("Form", "-"))
+        self.label_5.setText(_translate("Form", "Data Sampling Rate"))
+        self.targetMaxEdit.setText(_translate("Form", "1.0"))
+        self.label_2.setText(_translate("Form", "Offset"))
+        self.label_3.setText(_translate("Form", "Target Max."))
+        self.offsetEdit.setText(_translate("Form", "0.1"))
+        self.onsetEdit.setText(_translate("Form", "0.1"))
+        self.label.setText(_translate("Form", "Onset"))
+        self.dataSamplingRateEdit.setText(_translate("Form", "10000"))
+        self.label_8.setText(_translate("Form", "Shatter (Hz)"))
+        self.removeButton.setText(_translate("Form", "-"))
+        self.shatterHzEdit.setText(_translate("Form", "500"))
+        self.openPlumeDataButton.setText(_translate("Form", "Open Plume Data"))
+        self.position.setText(_translate("Form", "1"))
+
diff --git a/UI/simpleValveWidget.py b/UI/simpleValveWidget.py
new file mode 100644
index 0000000..21c5fd1
--- /dev/null
+++ b/UI/simpleValveWidget.py
@@ -0,0 +1,174 @@
+# -*- coding: utf-8 -*-
+
+# Form implementation generated from reading ui file 'SimpleValveWidget.ui'
+#
+# Created by: PyQt5 UI code generator 5.9
+#
+# WARNING! All changes made in this file will be lost!
+
+from PyQt5 import QtCore, QtGui, QtWidgets
+
+class Ui_Form(object):
+    def setupUi(self, Form):
+        Form.setObjectName("Form")
+        Form.resize(1421, 113)
+        sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Minimum, QtWidgets.QSizePolicy.Maximum)
+        sizePolicy.setHorizontalStretch(0)
+        sizePolicy.setVerticalStretch(0)
+        sizePolicy.setHeightForWidth(Form.sizePolicy().hasHeightForWidth())
+        Form.setSizePolicy(sizePolicy)
+        font = QtGui.QFont()
+        font.setFamily("Lucida Console")
+        Form.setFont(font)
+        self.gridLayout = QtWidgets.QGridLayout(Form)
+        self.gridLayout.setObjectName("gridLayout")
+        self.shatterHzEdit = QtWidgets.QLineEdit(Form)
+        self.shatterHzEdit.setEnabled(False)
+        self.shatterHzEdit.setObjectName("shatterHzEdit")
+        self.gridLayout.addWidget(self.shatterHzEdit, 3, 7, 1, 1)
+        self.repeatsRadio = QtWidgets.QRadioButton(Form)
+        self.repeatsRadio.setChecked(True)
+        self.repeatsRadio.setAutoExclusive(False)
+        self.repeatsRadio.setObjectName("repeatsRadio")
+        self.gridLayout.addWidget(self.repeatsRadio, 1, 9, 1, 1)
+        self.lengthRadio = QtWidgets.QRadioButton(Form)
+        self.lengthRadio.setAutoExclusive(False)
+        self.lengthRadio.setObjectName("lengthRadio")
+        self.gridLayout.addWidget(self.lengthRadio, 3, 9, 1, 1)
+        self.cleanRadio = QtWidgets.QRadioButton(Form)
+        self.cleanRadio.setChecked(True)
+        self.cleanRadio.setAutoExclusive(False)
+        self.cleanRadio.setObjectName("cleanRadio")
+        self.gridLayout.addWidget(self.cleanRadio, 1, 6, 1, 1)
+        self.shatterRadio = QtWidgets.QRadioButton(Form)
+        self.shatterRadio.setAutoExclusive(False)
+        self.shatterRadio.setObjectName("shatterRadio")
+        self.gridLayout.addWidget(self.shatterRadio, 3, 6, 1, 1)
+        self.label_7 = QtWidgets.QLabel(Form)
+        self.label_7.setObjectName("label_7")
+        self.gridLayout.addWidget(self.label_7, 2, 5, 1, 1)
+        self.label_4 = QtWidgets.QLabel(Form)
+        self.label_4.setObjectName("label_4")
+        self.gridLayout.addWidget(self.label_4, 0, 4, 1, 1)
+        self.shatterDutyEdit = QtWidgets.QLineEdit(Form)
+        self.shatterDutyEdit.setEnabled(False)
+        self.shatterDutyEdit.setObjectName("shatterDutyEdit")
+        self.gridLayout.addWidget(self.shatterDutyEdit, 3, 8, 1, 1)
+        self.label_9 = QtWidgets.QLabel(Form)
+        self.label_9.setObjectName("label_9")
+        self.gridLayout.addWidget(self.label_9, 2, 8, 1, 1)
+        self.label_8 = QtWidgets.QLabel(Form)
+        self.label_8.setObjectName("label_8")
+        self.gridLayout.addWidget(self.label_8, 2, 7, 1, 1)
+        self.pulseWidthEdit = QtWidgets.QLineEdit(Form)
+        self.pulseWidthEdit.setObjectName("pulseWidthEdit")
+        self.gridLayout.addWidget(self.pulseWidthEdit, 1, 4, 1, 1)
+        self.repeatsEdit = QtWidgets.QLineEdit(Form)
+        self.repeatsEdit.setObjectName("repeatsEdit")
+        self.gridLayout.addWidget(self.repeatsEdit, 1, 10, 1, 1)
+        self.pulseDutyEdit = QtWidgets.QLineEdit(Form)
+        self.pulseDutyEdit.setEnabled(False)
+        self.pulseDutyEdit.setObjectName("pulseDutyEdit")
+        self.gridLayout.addWidget(self.pulseDutyEdit, 3, 5, 1, 1)
+        self.pulseDelayEdit = QtWidgets.QLineEdit(Form)
+        self.pulseDelayEdit.setObjectName("pulseDelayEdit")
+        self.gridLayout.addWidget(self.pulseDelayEdit, 1, 5, 1, 1)
+        self.line_2 = QtWidgets.QFrame(Form)
+        self.line_2.setFrameShape(QtWidgets.QFrame.HLine)
+        self.line_2.setFrameShadow(QtWidgets.QFrame.Sunken)
+        self.line_2.setObjectName("line_2")
+        self.gridLayout.addWidget(self.line_2, 4, 0, 1, 11)
+        self.fromValuesRadio = QtWidgets.QRadioButton(Form)
+        self.fromValuesRadio.setChecked(True)
+        self.fromValuesRadio.setAutoExclusive(False)
+        self.fromValuesRadio.setObjectName("fromValuesRadio")
+        self.gridLayout.addWidget(self.fromValuesRadio, 1, 3, 1, 1)
+        self.fromDutyRadio = QtWidgets.QRadioButton(Form)
+        self.fromDutyRadio.setAutoExclusive(False)
+        self.fromDutyRadio.setObjectName("fromDutyRadio")
+        self.gridLayout.addWidget(self.fromDutyRadio, 3, 3, 1, 1)
+        self.label_6 = QtWidgets.QLabel(Form)
+        self.label_6.setObjectName("label_6")
+        self.gridLayout.addWidget(self.label_6, 0, 5, 1, 1)
+        self.label_2 = QtWidgets.QLabel(Form)
+        self.label_2.setObjectName("label_2")
+        self.gridLayout.addWidget(self.label_2, 0, 2, 1, 1)
+        self.offsetEdit = QtWidgets.QLineEdit(Form)
+        self.offsetEdit.setObjectName("offsetEdit")
+        self.gridLayout.addWidget(self.offsetEdit, 1, 2, 1, 1)
+        self.lengthEdit = QtWidgets.QLineEdit(Form)
+        self.lengthEdit.setEnabled(False)
+        self.lengthEdit.setObjectName("lengthEdit")
+        self.gridLayout.addWidget(self.lengthEdit, 3, 10, 1, 1)
+        self.onsetEdit = QtWidgets.QLineEdit(Form)
+        sizePolicy = QtWidgets.QSizePolicy(QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Fixed)
+        sizePolicy.setHorizontalStretch(0)
+        sizePolicy.setVerticalStretch(0)
+        sizePolicy.setHeightForWidth(self.onsetEdit.sizePolicy().hasHeightForWidth())
+        self.onsetEdit.setSizePolicy(sizePolicy)
+        self.onsetEdit.setObjectName("onsetEdit")
+        self.gridLayout.addWidget(self.onsetEdit, 1, 1, 1, 1)
+        self.label = QtWidgets.QLabel(Form)
+        self.label.setObjectName("label")
+        self.gridLayout.addWidget(self.label, 0, 1, 1, 1)
+        self.frequencyEdit = QtWidgets.QLineEdit(Form)
+        self.frequencyEdit.setEnabled(False)
+        self.frequencyEdit.setObjectName("frequencyEdit")
+        self.gridLayout.addWidget(self.frequencyEdit, 3, 4, 1, 1)
+        self.label_5 = QtWidgets.QLabel(Form)
+        self.label_5.setObjectName("label_5")
+        self.gridLayout.addWidget(self.label_5, 2, 4, 1, 1)
+        self.removeButton = QtWidgets.QToolButton(Form)
+        self.removeButton.setObjectName("removeButton")
+        self.gridLayout.addWidget(self.removeButton, 2, 0, 1, 1)
+        self.position = QtWidgets.QLabel(Form)
+        self.position.setObjectName("position")
+        self.gridLayout.addWidget(self.position, 0, 0, 2, 1)
+
+        self.retranslateUi(Form)
+        self.fromValuesRadio.clicked.connect(self.fromDutyRadio.toggle)
+        self.fromDutyRadio.clicked.connect(self.fromValuesRadio.toggle)
+        self.cleanRadio.clicked.connect(self.shatterRadio.toggle)
+        self.shatterRadio.clicked.connect(self.cleanRadio.toggle)
+        self.repeatsRadio.clicked.connect(self.lengthRadio.toggle)
+        self.lengthRadio.clicked.connect(self.repeatsRadio.toggle)
+        self.fromValuesRadio.toggled['bool'].connect(self.pulseWidthEdit.setEnabled)
+        self.fromValuesRadio.toggled['bool'].connect(self.pulseDelayEdit.setEnabled)
+        self.fromDutyRadio.toggled['bool'].connect(self.frequencyEdit.setEnabled)
+        self.fromDutyRadio.toggled['bool'].connect(self.pulseDutyEdit.setEnabled)
+        self.shatterRadio.toggled['bool'].connect(self.shatterHzEdit.setEnabled)
+        self.shatterRadio.toggled['bool'].connect(self.shatterDutyEdit.setEnabled)
+        self.repeatsRadio.toggled['bool'].connect(self.repeatsEdit.setEnabled)
+        self.lengthRadio.toggled['bool'].connect(self.lengthEdit.setEnabled)
+        QtCore.QMetaObject.connectSlotsByName(Form)
+
+    def retranslateUi(self, Form):
+        _translate = QtCore.QCoreApplication.translate
+        Form.setWindowTitle(_translate("Form", "Form"))
+        self.shatterHzEdit.setText(_translate("Form", "500"))
+        self.repeatsRadio.setText(_translate("Form", "Repeats"))
+        self.lengthRadio.setText(_translate("Form", "Length (s)"))
+        self.cleanRadio.setText(_translate("Form", "Clean"))
+        self.shatterRadio.setText(_translate("Form", "Shatter"))
+        self.label_7.setText(_translate("Form", "Duty (/1)"))
+        self.label_4.setText(_translate("Form", "Pulse Width (s)"))
+        self.shatterDutyEdit.setText(_translate("Form", "0.5"))
+        self.label_9.setText(_translate("Form", "Duty (/1)"))
+        self.label_8.setText(_translate("Form", "Frequency (Hz)"))
+        self.pulseWidthEdit.setText(_translate("Form", "0.1"))
+        self.repeatsEdit.setText(_translate("Form", "5"))
+        self.pulseDutyEdit.setText(_translate("Form", "0.5"))
+        self.pulseDelayEdit.setText(_translate("Form", "0.1"))
+        self.fromValuesRadio.setText(_translate("Form", "From Values"))
+        self.fromDutyRadio.setText(_translate("Form", "From Duty"))
+        self.label_6.setText(_translate("Form", "Pulse Delay (s)"))
+        self.label_2.setText(_translate("Form", "Offset"))
+        self.offsetEdit.setText(_translate("Form", "0.1"))
+        self.lengthEdit.setText(_translate("Form", "1"))
+        self.onsetEdit.setText(_translate("Form", "0.1"))
+        self.label.setText(_translate("Form", "Onset"))
+        self.frequencyEdit.setText(_translate("Form", "5"))
+        self.label_5.setText(_translate("Form", "Frequency (Hz)"))
+        self.removeButton.setText(_translate("Form", "-"))
+        self.position.setText(_translate("Form", "1"))
+
diff --git a/pulseboi.code-workspace b/pulseboi.code-workspace
new file mode 100644
index 0000000..bd32c09
--- /dev/null
+++ b/pulseboi.code-workspace
@@ -0,0 +1,19 @@
+{
+	"folders": [
+		{
+			"path": "."
+		},
+		{
+			"path": "..\\PyPulse"
+		},
+		{
+			"path": "..\\daqface"
+		},
+		{
+			"path": "..\\vipy"
+		}
+	],
+	"settings": {
+		"python.pythonPath": "c:\\Users\\warnert\\Documents\\WinPython-64bit-3.6.3.0Qt5\\python-3.6.3.amd64\\python.exe"
+	}
+}
\ No newline at end of file