SVM.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Support Vector Machines"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The SVM model converts an optimization problem with the same dimensionality as number of features to an optimization problem with dimensionality equal to the number of support vectors which determine the optimal hyperplane dividing the classes. The reason why we are able to reformulate the optimization problem to our advantage is that the problem satisfies certain conditions such that we can make the assumption that the solution to the primal and dual problems is the same. The dual problem is a maximization with respect to the values of $\\alpha^{t}$ (scalars), rather than with respect to the values of $\\mathbf{x}^{t}$ (vectors, possibly of high dimensionality). Solving the dual problem finds an optimal solution by examining the constraint values which change the optimal solution the most.\n",
    "\n",
    "We can represent the data points as a linear combination of basis functions which are nonlinear and may have many dimensions. We map a $d$-dimensional $\\mathbf{x}$ space to a $k$-dimensional $\\mathbf{z}$ space, typically with $k >> d$ and potentially $k >> N$. The discriminant becomes\n",
    "$$\n",
    "g\\of{\\mathbf{x}} = \\mathbf{w}^{T}\\mathbf{\\phi}\\of{\\mathbf{x}}, \\quad \\mathbf{z} = \\mathbf{\\phi}\\of{\\mathbf{x}}.\n",
    "$$\n",
    "\n",
    "The inner product of basis functions inside the dual problem, $\\mathbf{\\phi}\\of{\\mathbf{x}^{t}}^{T}\\mathbf{\\phi}\\of{\\mathbf{x}^{s}}$ can be replaced with a kernel function $K\\of{\\mathbf{x}^{t}, \\mathbf{x}^{s}}$, eliminating the need for mapping the instances to the $\\mathbf{z}$-space. Kernels can be considered to be measures of similarity, with larger values corresponding to greater similarity between the two input vectors. Nonlinear basis functions are also useful for problems which are not linearly separable in the original space, because the data points may be separable once they are converted to the nonlinear space.  In general, different types of kernel functions may have better results if they are better able to fit the shape of the discrimination surface of a particular dataset or application.\n",
    "\n",
    "In the cases tested here, the number of features in the original space is small, and the decision surfaces are relatively simple and can be fit reasonably well with simpler basis functions, so the difference between using linear or nonlinear basis functions is less significant."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When the label values $r^{t} \\in \\{-1, 1\\}$, the distance of a given data point $\\mathbf{x}^{t}$ to the discriminant is\n",
    "$$\n",
    "\\frac{r^{t}\\left(\\mathbf{w}^{T}\\mathbf{x}^{t} + w_{0}\\right)}{\\norm{\\mathbf{w}}}.\n",
    "$$\n",
    "To make this value as large as possible, we want to make $\\norm{\\mathbf{w}}$ as small as possible, which we can form as a standard quadratic optimization problem:\n",
    "$$\n",
    "\\min_{\\mathbf{w}}\\frac{1}{2}\\norm{\\mathbf{w}}^{2}, \\quad \\text{s.t.} \\quad r^{t}\\left(\\mathbf{w}^{T}\\mathbf{x}^{t} + w_{0}\\right) \\geq +1, \\quad \\forall t.\n",
    "$$\n",
    "We are minimizing the value of $\\norm{\\mathbf{w}}$ while still ensuring that its value satisfies the definition of the hyperplane, which is a function of the data points. We want the distance from the data points to the discriminant hyperplane to be at least some value $\\rho$. The distance of $1$ is used to exclude solutions which simply scale the vector $\\mathbf{w}$.\n",
    "\n",
    "We can introduce slack variables $\\xi^{t}$ into the constraint, which has the effect of allowing for solutions which define hyperplanes that do not precisely satisfy the constraint $r^{t}\\left(\\mathbf{w}^{T}\\mathbf{x}^{t} + w_{0}\\right) \\geq +1 \\forall t$ required for a discriminant which is correct for all data points, but including $\\xi^{t}$ in the optimization function ensures that the error produced by the hyperplane solution is as small as possible. In this formulation, the $L^{2}$ norm of $\\mathbf{w}$ is used as the main value to be minimized, which is similar to the effect using the $L^{2}$ norm of the weight vector as a regularization term added to the sum of least squares in previous models, but rather than using the scaling factor $C$ to change how much $\\norm{\\mathbf{w}}$ affects the optimization, here we are optimizing directly for a minimal size of $\\mathbf{w}$. When we introduce the variables $\\xi^{t}$, which describe the distance of points from the margin, and we use the scaling factor $C$ to change how much the sum of the distances of points from the margin affects the optimization - so in a way this technique is opposite to the ones we've used so far."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "np.set_printoptions(precision=3)\n",
    "import pandas as pd\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "import matplotlib.cm\n",
    "%matplotlib notebook\n",
    "\n",
    "from sklearn.datasets import load_iris\n",
    "from sklearn.datasets import make_blobs\n",
    "\n",
    "from sklearn.preprocessing import scale\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "from sklearn.svm import SVC, LinearSVC"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " $\\newcommand{\\braket}[2]{\\left\\langle{#1}\\mid{#2}\\right\\rangle}$\n",
    " $\\newcommand{\\of}[1]{\\left({#1}\\right)}$\n",
    " $\\newcommand{\\norm}[1]{\\left\\lVert{#1}\\right\\rVert}$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_meshgrid(x, y, h=.02):\n",
    "    x_min, x_max = x.min() - 1, x.max() + 1\n",
    "    y_min, y_max = y.min() - 1, y.max() + 1\n",
    "    \n",
    "    xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\n",
    "                         np.arange(y_min, y_max, h))\n",
    "    return xx, yy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1) Train the SVM model on the complete Iris data set using all of the features at once."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "iris = load_iris()\n",
    "X = iris.data\n",
    "Xs = scale(iris.data)\n",
    "y = iris.target\n",
    "\n",
    "iris_df = pd.DataFrame(Xs, columns=['Sepal length', 'Sepal width', 'Petal length', 'Petal width'])\n",
    "s = pd.Series(y, dtype=\"category\")\n",
    "s.cat.categories = [\"Iris-setosa\", \"Iris-versicolor\", \"Iris-virginica\"]\n",
    "iris_df[\"Class\"] = s\n",
    "iris_df['y'] = y\n",
    "\n",
    "labels = [['Sepal length', 'Sepal width', 'Petal length', 'Petal width']]\n",
    "features = [iris_df.loc[:, labels[i]] for i in range(1)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 features:\n",
      "\n",
      "Linear kernel score = 82.00%\n",
      "Polynomial kernel (degree 2) score = 82.00%\n",
      "Polynomial kernel (degree 4) score = 80.67%\n",
      "RBF kernel score = 82.67%\n",
      "\n",
      "4 features:\n",
      "\n",
      "Linear kernel score = 99.33%\n",
      "Polynomial kernel (degree 2) score = 98.67%\n",
      "Polynomial kernel (degree 4) score = 99.33%\n",
      "RBF kernel score = 98.00%\n"
     ]
    }
   ],
   "source": [
    "C = 1.0\n",
    "X2 = X[:, :2]\n",
    "X4 = X\n",
    "\n",
    "kernels = (SVC(kernel='linear', C=C),\n",
    "          SVC(kernel='poly', degree=2, gamma='auto', C=C),\n",
    "          SVC(kernel='poly', degree=4, gamma='auto', C=C),\n",
    "          SVC(kernel='rbf', gamma=0.7, C=C))\n",
    "titles = ['Linear kernel',\n",
    "          'Polynomial kernel (degree 2)',\n",
    "          'Polynomial kernel (degree 4)',\n",
    "          'RBF kernel']\n",
    "\n",
    "print('2 features:\\n')\n",
    "for clf, title in zip(kernels, titles):\n",
    "    m = [clf.fit(X2, y) for clf in kernels]\n",
    "    print(title, 'score = {:.2%}'.format(clf.score(X2, y)))\n",
    "    \n",
    "print('\\n4 features:\\n')\n",
    "for clf, title in zip(kernels, titles):\n",
    "    m = [clf.fit(X4, y) for clf in kernels]\n",
    "    print(title, 'score = {:.2%}'.format(clf.score(X4, y)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The plots below show the discriminant function for binary classification between classes. In the first case, the classes are linearly separable, so a correct hyperplane can be found. Regularization causes some points to fall inside the margin. In the second case, the classes are not linearly separable, so many points fall inside the margin."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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 / mpl.ratio, fig.canvas.height / mpl.ratio);\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",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\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 src=\"data:image/png;base64,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\" width=\"917\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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 / mpl.ratio, fig.canvas.height / mpl.ratio);\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",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\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 src=\"data:image/png;base64,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\" width=\"925\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_points(X, y, colors):\n",
    "    names = ['unregularized', 'regularized']\n",
    "    C_val = [1, 0.1]\n",
    "    f, axes = plt.subplots(1, len(names))\n",
    "\n",
    "    for name, penalty, ax in zip(names, C_val, axes.flatten()):\n",
    "\n",
    "        model = SVC(kernel='linear', C=penalty)\n",
    "        model.fit(X, y)\n",
    "\n",
    "        x_min, x_max = X[:, 0].min() - 0.5, X[:, 0].max() + 0.5\n",
    "        y_min, y_max = y.min() - 0.5, y.max() + 0.5\n",
    "    \n",
    "        # compute decision hyperplane\n",
    "        w = model.coef_[0]\n",
    "        a = -w[0] / w[1]\n",
    "        xx = np.linspace(x_min, x_max, 30)\n",
    "        yy = a * xx - (model.intercept_[0]) / w[1]\n",
    "\n",
    "        # plot the parallels to the separating hyperplane which pass through the\n",
    "        # support vectors (the margins)\n",
    "        margin = 1 / np.sqrt(np.sum(model.coef_ ** 2))\n",
    "        yy_down = yy - np.sqrt(1 + a ** 2) * margin\n",
    "        yy_up = yy + np.sqrt(1 + a ** 2) * margin\n",
    "\n",
    "        ax.plot(xx, yy, 'k-')\n",
    "        ax.plot(xx, yy_down, 'k--')\n",
    "        ax.plot(xx, yy_up, 'k--')\n",
    "\n",
    "        ax.scatter(model.support_vectors_[:, 0], model.support_vectors_[:, 1], s=80,\n",
    "                    facecolors='none', zorder=10, edgecolors='k')\n",
    "        ax.scatter(X[:, 0], X[:, 1], c=y, zorder=10, cmap=colors,\n",
    "                    edgecolors='k')\n",
    "        ax.set_xlabel(name)\n",
    "        \n",
    "        f.set_tight_layout(True)\n",
    "\n",
    "    f.show()\n",
    "    \n",
    "plot_points(X[:100, [1, 2]], y[:100], plt.cm.Pastel2)\n",
    "plot_points(X[50:, [1, 2]], y[50:], plt.cm.Pastel1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2) Run the SVM model at least four times using a different kernel each time."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### a. Compare the results for each of the kernels."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 features:\n",
      "\n",
      "Linear score = 82.00%\n",
      "Polynomial (deg 2) score = 82.00%\n",
      "Polynomial (deg 4) score = 80.67%\n",
      "RBF score = 82.67%\n",
      "\n",
      "4 features:\n",
      "\n",
      "Linear score = 99.33%\n",
      "Polynomial (deg 2) score = 98.67%\n",
      "Polynomial (deg 4) score = 99.33%\n",
      "RBF score = 98.00%\n"
     ]
    },
    {
     "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 / mpl.ratio, fig.canvas.height / mpl.ratio);\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",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\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 src=\"data:image/png;base64,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\" width=\"695\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "C = 1.0\n",
    "X2 = X[:, :2]\n",
    "X4 = X\n",
    "\n",
    "kernels = (SVC(kernel='linear', C=C),\n",
    "          SVC(kernel='poly', degree=2, gamma='auto', C=C),\n",
    "          SVC(kernel='poly', degree=4, gamma='auto', C=C),\n",
    "          SVC(kernel='rbf', gamma=0.7, C=C))\n",
    "titles = ['Linear',\n",
    "          'Polynomial (deg 2)',\n",
    "          'Polynomial (deg 4)',\n",
    "          'RBF']\n",
    "\n",
    "print('2 features:\\n')\n",
    "scores1 = []\n",
    "for clf, title in zip(kernels, titles):\n",
    "    m = [clf.fit(X2, y) for clf in kernels]\n",
    "    print(title, 'score = {:.2%}'.format(clf.score(X2, y)))\n",
    "    scores1.append(clf.score(X2, y))\n",
    "    \n",
    "scores2 = []\n",
    "print('\\n4 features:\\n')\n",
    "for clf, title in zip(kernels, titles):\n",
    "    m = [clf.fit(X4, y) for clf in kernels]\n",
    "    print(title, 'score = {:.2%}'.format(clf.score(X4, y)))\n",
    "    scores2.append(clf.score(X4, y))\n",
    "    \n",
    "fig_, ax_ = plt.subplots()\n",
    "ax_.bar(np.array([1, 2, 3, 4]), scores1, color='orchid', label='Two Features')\n",
    "ax_.bar(np.array([5, 6, 7, 8]), scores2, color='mediumpurple', label='Four Features')\n",
    "ax_.set_ylim(0.7, 1.0)\n",
    "ax_.set_xticks([1, 2, 3, 4, 5, 6, 7, 8])\n",
    "ax_.tick_params(axis='x', labelrotation=25)\n",
    "ax_.set_xticklabels(titles + titles, {'fontsize':8})\n",
    "fig_.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### b. Plot the results (including the decision boundaries) using two features at a time (since you’re limited to two dimensions in plotting) for three of the cases (i.e., for three of the kernels).   Note that you need to fit the model using all four of the features but then plot the results using only two of the features."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In order to plot the model trained on all four features, the prediction function is applied to points which have zero values for two out of the four features (effectively showing the results of classifying data points which are only two-dimensional)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": false
   },
   "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 / mpl.ratio, fig.canvas.height / mpl.ratio);\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",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\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 src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA6YAAAI5CAYAAACyxSfJAAAgAElEQVR4nOzdeZxN9ePH8c+9dxZjbIOxM4zd7DOW7EJZWpClb4uyliWyFSEkS5JCChEltKgIicgUZRuhIm2WQiHL2LO+f39Mc35zDbMZHXPn9Xw83o9HjXvuWebez5z3Pcs1AgAAAADARsbuBQAAAAAAZG8UUwAAAACArSimAAAAAABbUUwBAAAAALaimAIAAAAAbEUxBQAAAADYimIKAAAAALAVxRQAAAAAYCuKKQAAAADAVhRTAAAAAICtKKYAAAAAAFtRTAEAAAAAtqKYAgAAAABsRTEFAAAAANiKYgoAAAAAsBXFFAAAAABgK4opAAAAAMBWFFMAAAAAgK0opgAAAAAAW1FMAQAAAAC2opgCAAAAAGxFMQUAAAAA2IpiCgAAAACwFcUUAAAAAGAriikAAAAAwFYUUwAAAACArSimAAAAAABbUUwBAAAAALaimAIAAAAAbEUxBQAAAADYimIKAAAAALAVxRQAAAAAYCuKKQAAAADAVhRTAAAAAICtKKYAAAAAAFtRTAEAAAAAtqKYAgAAAABsRTEFAAAAANiKYgoAAAAAsBXFFAAAAABgK4opAAAAAMBWFFMAAAAAgK0opgAAAAAAW1FMAQAAAAC2opgCAAAAAGxFMQUAAAAA2IpiCgAAAACwFcUUAAAAAGAriikAAAAAwFYUUwAAAACArSimAAAAAABbUUwBAAAAALaimAIAAAAAbEUxBQAAAADYimIKAAAAALAVxRQAAAAAYCuKKQAAAADAVhRTAAAAAICtKKYAAAAAAFtRTAEAAAAAtqKYAgAAAABsRTEFAAAAANiKYgoAAAAAsBXFFAAAAABgK4opAAAAAMBWFFMAAAAAgK0opgAAAAAAW1FMAQAAAAC2opgCAAAAAGxFMQUAAAAA2IpiCgAAAACwFcUUAAAAAGAriikAAAAAwFYUUwAAAACArSimAAAAAABbUUwBAAAAALaimAIAAAAAbEUxBQAAAADYimIKAAAAALAVxRQAAAAAYCuKKQAAAADAVhRTAAAAAICtKKYAAAAAAFtRTAEAAAAAtqKYAgAAAABsRTEFAAAAANiKYgoAAAAAsBXFFAAAAABgK4opAAAAAMBWFFMAAAAAgK0opgAAAAAAW1FMAQAAAAC2opgCAAAAAGxFMQUAAAAA2IpiCgAAAACwFcUUAAAAAGAriikAAAAAwFYUUwAAAACArSimAAAAAABbUUwBAAAAALaimAIAAAAAbEUxBQAAAADYimIKAAAAALAVxRQAAAAAYCuKKQAAAADAVhRTAAAAAICtKKYAAAAAAFtRTAEAAAAAtqKYAgAAAABsRTEFAAAAANiKYgoAAAAAsBXFFAAAAABgK4opAAAAAMBWFFMAAAAAgK0opgAAAAAAW1FMAQAAAAC2opgCAAAAAGxFMQUAAAAA2IpiCgAAAACwFcUUAAAAAGAriikAAAAAwFYUUwAAAACArSimAAAAAABbUUwBAAAAALaimAIAAAAAbEUxBQAAAADYimIKAAAAALAVxRQAAAAAYCuKKQAAAADAVhRTAAAAAICtKKYAAAAAAFtRTAEAAAAAtqKYAgAAAABsRTEFAAAAANiKYgoAAAAAsBXFFAAAAABgK4opAAAAAMBWFFMAAAAAgK0opgAAAAAAW1FMAQAAAAC2opgCAAAAAGxFMQUAAAAA2IpiCgAAAACwFcUUAAAAAGAriikAAAAAwFYUUwAAAACArSimAAAAAABbUUwBAAAAALaimAIAAAAAbEUxBQAAAADYimIKAAAAALAVxRQAAAAAYCuKKQAAAADAVhRTAAAAAICtKKYAAAAAAFtRTAEAAAAAtqKYAgAAAABsRTEFAAAAANiKYgoAAAAAsBXF9BYSFBSkH374IdnPmzVrpt9++82GJUpwveXKKvOPjY2V0+nUq6++et3HDBs2TJUqVVL16tUzPJ+FCxdq48aNGZ4euJagoCBVrFhRERERqly5sqZMmZLqNMOHD1f//v3/g6VL2YEDB9SgQYNUHxcbG6uYmJhr/tujjz6a4nv3Zktt/q1atdK6desyNK2dOnTooLCwMEVERKhq1apatWqV9W+tW7fWN998c0PPf/jwYRUqVEitW7e+7mMWLVqkSpUqKSIiQt9//32G5rN161a9//77GV1MIN2SjskVKlTQ2LFjrX/bs2ePXC6XIiIiFBERoUqVKun555+3/n348OEKDAy0/j0iIkKHDh1KNo/69etryZIl/8n6XMuNzv+nn36Sn59fin+Hpk2bZm3HI0eOZGg+sbGxWrFiRUYXE7cgiuktxO4CKEkXL15M9rMbXa7Lly/r8uXLGZ7+RuZ/8uRJVa9eXXfddVeKO4g5cuTQ4cOHM7qIkm5sJ/Ra2x2Q3F//f/zxh/LmzavvvvsuxWlulWKaVje7mN7I+yul+W/cuFG33357hqbNiMwcJ44fP27999atW1WgQAFduXJFkvTtt9+qfv36N/T8bdq0UYcOHVIspk2bNtUHH3xwQ/OZPXt2ivNICeMuMiLpmHzgwAHlzZvX+lB6z549KlCggPXYkydPqnDhwtq+fbuktI/NmVFML126lOFpb2T+ly5dUv369fXAAw+kuK6VKlXSpk2bMrqIkm7sbx3v/1sTxfQWcr0ClvTn9evX19NPP606deooODhYjz/+uPW4kydPqkuXLqpWrZrCwsL0+OOP68KFC5KkCRMmqGrVqoqMjFS1atW0YcMGazpjjF566SXVr19fAwYMSHH+kyZNUu3ata0SN378eFWrVk1RUVFq1qyZ/vjjD0kJg8XDDz+sVq1aKSwsTPv371dQUJBGjBihmjVrqnTp0m6fIv71119q27attezPPvtsqtslLbp06aIFCxakuINYs2ZNGWMUFhamXr16SZLmzJmj6tWrKyoqSvXq1bPm//3336tOnTqKiopS5cqVNWbMGEnSp59+qoCAABUvXlwRERGaMWNGsp3tH374QUFBQZL+/4/Xc889pzp16ujll1/WhQsXNHDgQFWrVk0RERG6//77rZ3HGTNmqHLlyoqIiFBoaKjb7w+e7erXf7Vq1bRgwQJJ0rhx41SlShWFhobqwQcfVHx8vCT3P9ahoaFuR/SmTZumdu3aSUp5PDl48KBatmyp0NBQhYSEaPr06W7L9Oyzz6pmzZoqWbKk3nnnHU2cOFHVqlVTcHCwYmNjJSXfSXvooYcUExOjsLAw3XXXXdaRgrQW0zVr1qhKlSqKi4uTJC1fvly1a9dWdHS0qlevrq+++sp6voiICPXq1Uu33XabPvjgAz366KPq3r27GjVqpPLly6tVq1Y6f/68JKX43ktp7OjUqZNmzpxp/f/+/fvVsGFDhYWF6d5773X7QCyl8XnHjh2qXr26QkJC9MADD6hGjRrWTmH9+vU1ePBgNWzYUA0bNkxxvaXrj10piY2NVcGCBa1iKkkVK1bUL7/8kuq01zJ37lz17NkzxdLYq1cv+fv7q0yZMqpZs6YkadOmTbr99tsVExOjqKgoffjhh5ISdiDvvPNOxcTEqEqVKnrwwQd15swZHTp0SCVLllTevHkVERFhvX6NMTp16pQ1rwIFCmjPnj2SEl67o0aNUoMGDfTggw9Kuv42W79+vaKjoxUREaGQkBC9/vrrGdoe8CxXj8nVq1e3PmC5esw7cOCAChUq5LZvlN5iumDBAkVERFhnzl3v9Tp79mw1adJE7du3V0xMjNatW5fhfcYbKaajRo3S+PHjU1zX1q1by9vbWxUrVrTGiOuNa3/99ZcaNGig6OhoValSRb169dKVK1e0detWFS5c2DoC/dxzzyXb/qdOnZIx/191rrW/e7392MWLF1tnlYSEhGjRokUZ2h5IH4rpLSStxbR169a6dOmSzp49q9KlS1s7nV27dtWcOXMkSVeuXFHnzp318ssvS5Lb0cD169crJCTE+n9jjEaPHp3icn333Xfq06eP7rvvPp09e1aSNG/ePHXt2tX6VG7OnDm69957JSUMvsWLF3c7RSUoKEh9+vSxlidPnjzav3+/JOnOO++0BqGLFy+qSZMm+vjjj1PcLqlZtmyZ2rRpIyn1IxdJd2S+/vprNW/eXP/884+khJ3h8PBwSQkDeeLPz549q8jISGsn+ep5pFZMjTGaN2+e9e+jR492K+sjR45U7969JUl58uTRgQMHJCXsRCfd6YJnS/r6//7775U7d2798ssvWrZsmSpVqmQVqK5du6pHjx6S3Hd+3njjDT300EPW84WFhWnNmjWSUh5P2rVrp0GDBkmSDh06pBIlSlhHBYKCgqw/6ps2bZKfn59ee+01SdL7779vFY2rdxL+/vtv67/Hjh2rnj17SkpbMZ0/f74iIyOtgrFr1y7VrFlTJ06ckCT9+uuvKlasmC5cuKDY2Fg5HA6tXbvW7Xlq1qyps2fP6tKlS6pVq5bmz58vKeX3XkpjR3BwsH788Ufr/++77z6NGDHCWr5cuXJZ06Y0PkdHR+udd96RJG3evFlOp9OtmDZv3tzaYUxpvVMau65l4MCBCg4OVkBAgPVhQqKOHTtq6tSp1532eg4cOKDo6GidOnUq1aOZSXd+jx8/rqioKP3555+SEl4rpUqV0l9//aUrV65Yp/pduXJF3bp10/jx4yVd+4hpasX0scces0p4Stvs3nvvdRujjx07lu7tAc+TdEzeuXOngoODrX2spKfyhoaGysfHR0OHDrWmvfpU3g4dOlxzHonvjZdeekn16tXT0aNHJaX8ep09e7b8/f3dPlDK6D5jRovpd999p7p16+rSpUuplvCk2zGlce3cuXPW+/nSpUu66667rA9nr55HWopp0v3dlPZjw8PDrUsaLl++7HaWCW4eiuktJK3FNPENKUktW7a0dmgCAwOtT3cSr33o3r27JGnFihWqV6+eQkJCFBERIYfDYR0tMMbor7/+SnG5YmJi1K1bN7dTctu2basyZcpY8wsNDVVERISkhMEi6Sdzic+TWOIkKTIyUmvXrtXp06fl5eXlds1F2bJlraORGSmmx48fV3h4uFWM01NMn3rqKevIZ2KKFi2q8+fP69ChQ3r44YcVGhqq8PBwBQQEaMaMGdecR2rFNEeOHG5HKKpVq2Zdb5F4PeHdd98tKeH33KhRI02cOFE///xzurYFsrak1zPVrFnTev/369fPrUxt2bJFFSpUkOT+x/rs2bMqWrSoDh06pC+//NKtqKQ0nuTPn1/79u2z/q13795u78nE9/KlS5dkjLFK52+//abChQtLSr6TMHHiRMXExCg0NFRly5ZV7dq1JaVeTKOjo1WjRg23HYPXXnst2bVaxYoV065duxQbG6uKFSsme57EMiNJffr0sbZfSu+9lMYOHx8ft7ISEBBgfdgmSS1atLCmvd74fOLECfn4+LiNrZGRkW7F9N13303Teqc0dqVk5cqVqlq1qtvjnnnmGQ0ZMiTF6a6lefPm1vWq6Smmn376qXXkMzElS5bUl19+qcuXL2vIkCGKjIxUaGioSpYsaX3YkpFiun79euvfUtpmr7zyiipXrqznnnvO7UMOZG+JY3KlSpXkcDg0ceJE69+uHvOOHj2qyMhIffLJJ5LSd8Q0JiZG99xzj1VCpZRfr4lHTK9+nozsM2akmF64cEHVq1fXjh070rSuSfftUhrXzpw5ox49eig8PFxhYWEqXLiwNTZlpJgm3d9NaT+2b9++qlatmsaNG6etW7ema1sg4yimt5C0FtOkg0Xr1q01e/ZsSVLBggW1a9euZNOfP39euXLl0ubNmyVJJ06ccPvDffUf8WvNv3///goPD3d7Q7dp00ZvvvnmNae51oB09frFxMQoNjZWJ0+elLe3t3VEIKX1T6pXr17WYHL1jTPWrl2rwMBABQUFKSgoSP7+/sqfP7+GDRt2zXkk3QYDBgxwO5U4qc6dO6t///7WtQmtWrWydjyv3oFdu3atIiMjrf+Pi4tLdipvUlWrVtUXX3xxzfleuXJFcXFxGj9+vMqWLeu2owrPdr3Xf9++fTVq1Cjr/7ds2WKVsavff4MGDdLo0aPVpk0bvfHGG9bPUxpP8ufP71ayevfubd3k4+plSvr+SfraTvrfa9euVbly5awjC5988olVRlMrph07dlTZsmXdysGUKVPUvn37a05zree7+v3Zv39/DR8+XFLK772Uimm+fPmsMxmklIvp9cbn+Ph4+fr6un1IdXUxTfo7Smm9Uxq7UlOxYkXrb4SU/PWV6O2337bG3VmzZiX794CAAGvcLVCggHLmzKk777zzmvNMum5Lly5V3bp1r/m4d955R3Xq1NHJkyclJVxSklhGr1VMXS6XdVq7JPn7+7sV06Sv3dS22a5du/TGG2+obt261k47srekr6GVK1cqR44c1j7Itf62P/XUU9c8myUl9evX1xNPPKHy5ctr586d1s9Ter1e672QkX3Ga02XaOzYsdb7f/ny5W7/9vvvv6tAgQLW+z9v3rzKkyePOnXqdM15JN2OKY1rzz//vO6//36dO3dOUsLYlLgNr96e+/btU758+az///vvv5MV06T7uyntx0rS9u3b9eqrryo8PFzjxo277uOQeSimt5AbLaadOnVS165drdJ07Ngx/frrrzpx4oR8fX2to4ejRo1KdzH94Ycf9P7776ty5crau3evpIRTHmJiYqxTTC5cuKAtW7ZISl8xlaSGDRtq5MiR1r8dOHDAOlqTGTeFSs8R06+++kpBQUHWdQaXL1+2jg7dd999euWVVyQl3HUu6al6vXr1ctuR279/v/LmzWudgta7d+8Ui+nIkSN111136cyZM5KkM2fOaPv27bp48aJ+/fVX63EDBw5U3759M7wtkLVc7/W/bNkyhYaGWjvr3bp1s06NvdYf6xIlSigwMNB6fUkpjyft2rWzPsg5fPiwSpYs6XYqb3qL6eLFixUdHa1Lly7p/Pnzat68eZqL6auvvqodO3aoXLly+vzzzyVJv/zyiwIDA92WI3H50ltMr/feu9Z0SdWrV8+t0LZu3doax/bs2eM2PlxvfJakqKgo65TRLVu2yOVyXbeYprTeKY1dSV28eNHtdL+NGzcqICDA7ehv06ZNb/jmK+k5Ynrs2DEVKVLEbXtu3bpV58+f1+TJk9WiRQtJCZdTREVFWc/70UcfqXHjxm7PW6FCBetOnR999JGMMdctpilts59++sl63GeffaaoqKgMbQd4lqtfQ3379rVO/7z6b/s///yjWrVqadKkSZLSf43pV199pbJly1pH7FJ6vaa3mKY0JmXGzZfSc8Q0pXGtX79+evLJJyUl3PugRIkS1vNOmDBBXbp0saa5ePGicuXKZb13J0yYkGIxTWk/NukHAlOnTlWrVq0ysBWQXhTTW0hQUJAKFy6s4sWLW9m3b1+ai+nJkyfVvXt3hYSEKCwsTNHR0Vq5cqWkhJukBAUFqW7duho/fnyGiqmU8Kl2hQoVrNNJX3nlFYWFhSk8PFxVqlTRhAkTJKW/mP7111964IEHFBoaqtDQUN12223atm3bNafLiPQUUynhuoOoqCiFh4ercuXK1vV0W7ZsUUhIiKpWrao2bdro3nvvtZ5306ZNqlKlinXzIynhk77SpUurQYMGGjZsWIrF9MKFCxoyZIhCQ0MVFhamsLAwzZ07V//884/q1KljnYbduHFjt1Ms4dlSev2PGzdOISEhKd78KNHdd9+tfv36uf0spfEk8eZHYWFhCgkJ0bRp0667TGkpphcvXlS7du1Urlw5NWjQQIMHD05XMZUSThOuWLGiFi5cKCnhEoUaNWooPDxclSpVsm5mk95ier333rWmS2ry5MluN4xLevOj1q1bq2XLlm43P7re+PzDDz+oatWqio6OVufOnRUdHe12HfDVO4jXW2/p+mNXUok7yyEhIQoPD1fNmjXdCuHp06dVsmRJtw8xMiI9xVRKOKukQYMG1rI3adJE586dU3x8vBo1aqTKlSurcePG6t27t/W88fHxqlmzpsLDw63LR5YtW6Zy5cqpVq1aGjJkSLJTea9+P11vm/Xs2VNVqlRRZGSkYmJitHr16hvaHvAMV7+Gjh07pvz582vz5s3X/LqY7t27W2eEZeTmR5s2bVJwcLB1bej1Xq/pLaYpjUn/dTGVrj+u7d2717oxXfPmzdWhQwfreXfv3q3IyEjr5keSNGvWLJUpU0Z169bVmDFjUiym0vX3Y1u2bGm9/2vVqpXq3fCROSimAODhTp06peLFi2v37t12L4pHOXnypEJCQnT69Okbep7Tp09bp/Lu2LFDgYGBtt5oZ+rUqW43bAEA4L9AMQUADzZ16lQVL148xTtvI+NWrlx5w2d0rFixwrqxR1hYmO1fSzB9+vQbLtsAAKQXxRQAAAAAYCuKKQAAAADAVhRTAAAAAICtKKYAAAAAAFtRTAEAAAAAtrKtmF6+fFn79u1TfHy8Tpw4QQghGUp8fLz27duny5cvM44RQrJs7BrLGMcIIZmVGx3HbCum+/btkzGGEEIyJfv27WMcI4Rk+fzXYxnjGCEks5PRccy2YhofHy9jjPau+FTHvv6SEEIylL0rPpUxRvHx8YxjhJAsG7vGssRxrG/YUA2KHEUIIRlO37ChNzSO2VZMT5w4IWOMjn39pS5t20wIIRnKsa+/lDFGJ06cYBwjhGTZ2DWWJY5jgyJHaUTMS4QQkuEMihx1Q+MYxZQQkqVDMSWEeEIopoSQrB6KKSEkW4diSgjxhFBMCSFZPRRTQki2DsWUEOIJoZgSQrJ6KKaEkGwdiikhxBNCMSWEZPVQTAkh2ToUU0KIJ4RiSgjJ6qGYEkKydSimhBBPCMWUEJLVQzElhGTrUEwJIZ4QiikhJKuHYkoIydahmBJCPCEUU0JIVg/FlBCSrUMxJYR4QiimhJCsHoopISRbh2JKCPGEUEwJIVk9FFNCSLYOxZQQ4gmhmBJCsnoopoSQbB2KKSHEE0IxJYRk9VBMCSHZOhRTQognhGJKCMnqoZgSQrJ1KKaEEE8IxZQQktVDMSWEZOtQTAkhnhCKKSEkq4diSgjJ1qGYEkI8IRRTQkhWD8WUEJKtQzElhHhCKKaEkKweiikhJFuHYkoI8YRQTAkhWT0UU0JItg7FlBDiCaGYEkKyeiimhJBsHYopIcQTQjElhGT1UEwJIdk6FFNCiCeEYkoIyeqhmBJCsnUopoQQTwjFlBCS1UMxJYRk61BMCSGeEIopISSrh2JKCMnWoZgSQjwhFFNCSFYPxZQQkq1DMSWEeEIopoSQrB6KKSEkW4diSgjxhFBMCSFZPRRTQki2DsWUEOIJoZiS1PKEo59b7F4eQq4OxZQQkq1DMSWEeEIoptk7V5fOa2VWjmG6cvyIrhw/olk5hqX6eLvXiWS/UEwJIdk6FFNCiCeEYpp9klrpzIxQVIkdoZgSQrJ1KKaEEE8IxdSzczNLaEaKqt3bg3hmKKaEkGwdiikhxBNCMfWs9M450PYyer0kPQ3Y7u1EPCsUU0JItg7FlBDiCaGYZu30zjnQrYzOyjHsliqjFFTyX4RiSgjJ1qGYEkI8IRTTrJmsVkZTOs23d86Btm9PkrVDMSWEZOtQTAkhnhCKadbK1YXU7nLJ0VNyK4RiSgjJ1qGYEkI8IRTTrBFPK6TXO3pq93YmWTMUU0JItg7FlBDiCaGY3trx9EJ6rXLKqb0kvaGYEkKydSimhBBPCMX01kx2KqRJw6m9JCOhmBJCsnUopoQQTwjF9NZKdi2k1zt6avfvg2SNUEwJIdk6FFNCiCeEYnprhELqnosrYimmJM2hmBJCsnUopoQQTwjF1P5QSK8djpqStIZiSgjJ1qGYEkI8IRRT+5L0KKndJfBWDeWUpCUUU3JLJX7dGh2MXaWLW+NsXxaSPUIxJZmdc3EbdOCLFToXt8H2ZSHZJxRTe5JYuDaXf9n28peZuXzsbx3+7Wed3LeXckr+s1BMyS2RPcuXqmXD2+V0OmWMUVj58lo0+RXbl4t4fiimJLPyz+YNGvpYV+XPm1fGGAXkzaPBXTvrn80UVHLzQzH9b/OEq79VtC7t3G57kczMLHlvvsKqVJExRk6nUy3vaq6932+74ef9Z8JCiilJMRRTYnvi161RcIkSKlmiuCZPGK/35rylxrc3kNPp1Irpr9u+fMSzQzElmZWe/2snl8ulvr16auH789Wv9xPy8vJS93ZtbV824vmhmP53SXqU1NNK6apPPpbT6VSj2xvo3bdn69WXX1LJEiVUJigoU46ectSUpBSKKbE9rw99Rk6nU79u3yadOyWdO6VLp+NVo1pVNahW1fblI54diinJjOxftVxeXl4aN2qkNY7p3Cm9OPp5eXl5ad/K5bYvI/HsUExvfjz5KGliGtarq+pVY3TpdLw1jv26fZucTqdenzA+U+ZBOSXXC8WU2J6OLe9V1egot525xB06/5x+ti8f8exQTElmZOlrk2WM0e6dP7iNY3t/2iFjjJZMmWT7MhLPDsX05saTj5ImTe7cuZJ9wKZzp1QtJlodHnwgU+bBKb3keqGYEtvzVMdHVbBAAf0Tf8RtEOzS8VGVKVHc9uUjnh2KKcmMbJz/jowxWrFkkds4tmLJIhljtGHeHNuXkXh2KKY3L55+lDRpgkuXVucOj7iNY+dPHFVgwYJ6qnevTJsPR03JtUIxJbbnh48XyOl0qkvHR3X8r326dDpe7749W97e3nquZzfbl494diimJDNycWucIipWUOWKFbVjS5x07pR+3BqnKpUqKbxCee40Tm56KKaZn+xw6u7VeX7IYHl7e2v+W7N06XS84g/uV9dOHeRwOLR9/TeZNh+OmpJrhWJKbom8MXyovLy85OPjo7x58sgYo5YNb9fZuPW2Lxvx7FBMSWZlx6IPVapoURljFFiwoIwxKlW0qLYv/ND2ZSOeH4pp5ia7nLqbrDAe+lP33XO3jDHKmzevfLJZFrUAACAASURBVHx85OXlpTcmvZK586GYkmuEYkpumfzx+Wd65ekBev6JHvp6zmyOMJD/JBRTkpk5s2md5o8bo+d6dtO8F0brzKZ1ti8TyR6hmGZesttR0qtz+djfWvf5co0aOkQTXxij/T/+cFPmw+m85OpQTAkh2ToUU0KIJ4RimjnJ7qX0vwxHTcnVoZiS/yS/fbpYG+e/oxPr19q+LIQkDcWUpDVH1sRqw7w5+n3FMtuXhZCrQzG98WSHUnrxyCFtXfOlflj3tS4f+5tiSm6pUEzJTc2uZUvUoFpVGWNkjFFuf38917Mbp+mSWyYUU5Ja/tm8QX3aPyS/HDlkjJHD4dA9Derrr9UrbV82QhJDMc14Egupp5fSj+fOUakSJax9sorly2n1kkW2LhOn85KkoZiSm5azcetVoXSQSgeV0vy3ZmnT2i/Vr/cTMsZowoB+ti8fIZe2UUxJ6hnQ4RF5eXlpxNDB2vzNGr057TUVCgxUzcgIPmQjt0wophlLYjE68sBsjy6l6z5fLpfLpbubNVXsimVasWSR6tWpLT8/P/0Ut8G25eKoKUkaiim5aXnvxRdkjNG2jevcvg+r06PtVaxQIV3Yssn2ZSSEYkpSSvy6NfLP6aehg552G8eWL14oY4y+nD3T9mUk5NI2imlGkh2OkiambcsWqlypoi6djrfGsTNHD6lQYKB6Pf4YxZTcEqGYkpuWZx/vqqJFCrvtzOncKX0wd46MMTr81Re2LyMhFFOSUr778H0ZY/T1F5+7jWNXzp6Uw+HQa0MG2b6MhFzaRjFNb7JTKb1y/IgqV6yg3j26J9sna3tfKzWsV5diSm6JUExJmvPL0kVaMf117Vm+NE2PnzHiWTmdTv3xy063QfDpfn2UN3dunYvbYPs6EUIxzV45uvZLrZwxTZvenZum03APf/WFvLy89MqLL7iNY5u/WSNjjJZMmWT7OhFyaRvFND3J6qX04pFD2rDqc8Uu/USn9v+epmmaNmqkWrfVcBvHLp2OV3CZ0urw0IMUU3JLhGJKUs2hL1epWd3a1sXyDodD7Zrcofh1a1Kc7vg3X6lAvnyqWaO6tm1cp9NHDmrm1Cny9fVV/0fb275ehFzaRjHNLrm4NU7P9eymnH5+1lhWpWyw4t6bm+q0D93VTHnz5NEHc+fo7LHDWhe7SiGVK6lsyZI6/+1G29eNkEvbKKZpTVYvpV8uXawyQUHWOJY3Tx5NHvdCqtN9Mn+ujDEa0Ke3Dv2+W/t+/UkdH2kvh8Oh9StX2LpO3ACJJIZiSlJNwxrVVbBAAb0za4Z+2/Gdpk+ZpNy5cul/TZukOu0377ylEkUKWwOoMUb/a9qEL50nt0woptkjU4cOljFGT/V9Uju2xGnlp4sVHRmhggEB+nvN6lRfI03r1HYbxyqUDtIPHy+wfb0ISQzFNPU84eqfpUvp3u+3yd/fX/Xr1tGalcv1fdwGPd6lk4wx+uidt1OdfuzwYfLx8bHGMX9/f818dZLt68VRU5IYiilJMVsXvCdjjD6cP9ft9I/XJ70ip9OZpu/zOxe3QUumTNLs50dox6IPbV8nQpKGYpo9UrFMad3f5j63cezArl/k7e2tiQMHpOk5Nr83T7OfH6HP35jKzdvILReKaep5wtFPm8u/bHsRy2iGDOivPHny6OThP92ud7+9fj3Vue22ND3HoV9/0rwZ0/X+7Dd1fO9u29eJYkqShmJKUsz74xPurHv0wO9uO3Q7t22WMUZfzJxu+zISciOhmHp+Lm6NkzFG016dlOzGH2EhVdTj/ra2LyMhNxqKacrJ6qfwXjl+RO1atVDDBvWTjWMjhw1VocBA25ePYkpuNBRTkmLi3ku4JmHxh++7DYIzp06Rw+HQ7s/SdiOkjObMpnVa9voULZw4gbv4kpsSimn2SNmSJdX+wf+5jWOHft8tHx8fvdS/702d98WtcYp7b64WTHiR03/JTQvF9PrxhFJ65fgRDezzpAIC8unM0UNuY1mTxo10W7WqN33+B3Zu18dz52j1kkW6eOQQxZRkeiimJMVc3Bqn2lGRKla0iBa+P18H9+7SvNlvKiBfPrVq1PCmzvuTyRNVqEB+61oIvxw5NObJJ2zfJsSzQjHNHnnl6QEyxmjksKH645ed2vDVatWueZvy5s6tg7Grbtp8//j8M9WMjHC7PrVZ3do6upbfOcncUEyvHU8ppVeOH9FvWzfL19dXTe9orC3rv9aen7ar/5O9ZIzR/Jlv3LT5Xjp6WH17dpeXl5c1jgWVLKlvVnxGMSWZGoopSTX7Vy1X3Zhotx2r5nXr6Mia2Js2z52ffCwfb2/d3aypvo/boL0/7bAG33fHjbV9mxDPCcU0e+TClk0a0OEReXt7//+OVbFiWvv2rJs2z4tb41Q9LFQlihfTko8+0OE/dmv+W7OUL29etb6jke3bhHhWKKbJ40mlNDHLFryvIoX//6aSfn5+GjPs2Zs6z/HPPyeHw6ExI4frwK5ftHFNrGrdVkP58ubVkd2/UkxJpoViStKcLR+8q49efknbF3540+fV75H2KliggM4eO+x2ukrj2xuodlSk7duCeE4optkrf67+XAsnTtAXM6ff9K96WffOWzLGaNmij9zGselTJsnhcGjvik9t3x7Ec0IxdU/vnAM9rpRaRe7Qn1q56GMtfneeju757abPr1SJEurQ/mG3cezg3l3y8fHRxBfGUExJpoViSm7JtGp0u+5s3DDZBf7DhzyjooGBti8f8ZxQTMnNyrwXRssYo/iD+93Gse3fbpIxRl/Nnmn7MhLPCcXUPU84+mlWjmG2l8isnotHDskYoxmvv5psn6xypYrq9fhjFFOSaaGYkkzN6Q1f67ke3dSxZQu9N/6FDD/PoM4dlS9v3mS3RK9Ts6YaVKtq+3oSzwnFlFwrH7z0ojq2bKHh3R/X6Q1fZ+g5Nr83T8YYffzePLeduckTxsvlcmn/quW2ryfxnFBM/z+eeApvRvLz5o3q2aWzenTupJ2b1mf4ecoFl9ED7dq4jWN//LJTLpdLr7304g0vZ+Lvy+7XDbE/FFOSaXl33Fj5JvniZmOMihQsqD9Xf57u59q1bIly+vmpft06+vLzz7R1wzfq9Gh7GWO0cNLLtq8r8ZxQTEnSHIxdpWKFAt3GMV8fH80Z83yGnq9BtaoKLFhQb8+crl9+2KrXJr4sf/+cevju5ravK/GsUEwT4smn8KYnbVrcK6fTaY1jTqdTLe5qnqHneu2lF2WM0VN9n9T2bzdp+eKFiggLU6HAQMX/vueGlpOjpSRpKKYk0/4g+nh7KyI8TN+uW6tzx//Wu2/Plp+fnyqWLp2h5/xi5nQFlyhhDaoBefPo9aHP2L6uxLNCMSVJE1K2rHL4+mrurJk6d/xvbVn/taIiI+Tt7a3DX6b/K6sOxq5Ss7q13XYOH2zeTCfXZ+woLCHXC8U0IZzCe0QvjRopY4x6Pv6YDu7dpUO/71bvHt1ljMnQjZIuH/tbzw0eJH9/f2ssC6tSRdvWfnXDy0oxJUlDMSWZkr7tH5IxRju3bXY71WP0c8PkdDr1x+efZeh5L2zZpPVz39bqN99gR47clFBMSWIOxq6S0+nUc88OcRvHfvlhq4wx6nF/2ww/9y9LF2nljGn6fcUy29eTeGYoppzCm5iSxYurSqVKunL2pNvlUOGhoSpWtEiGn/f43t1avWSRtqyJ1eVjf2fKslJMSdJQTEmm5O769ZTD19dtENS5U1qxZJGMMVr95hu2LyMh1wrFlCRm/dy3ZYzRpws/dBvHrpw9KX//nGpSu6bty0jI9ZLdiymn8P5/8ubNo0cffjDZzYq6dHxUeXLntn35KKbkeqGYkmQ5tX6tHmjWVGHly6ldkzsVn4ZtPLp3z4S7TK78zG0Q7PNET3l5eaXp93T4qy80c8QwTRw4QNs+fM/27ZCds3fFp3ptyCBNGTxIuz9bet3H/fjJR5o86GlNHzY0Q9cS3wqhmHpuJg96WhEVK6hWZITWvfNWqo+PX7dG3l5eeqLb427j2DerV8oYo2HdHkv1Oc5/u1GfTJ6ol5/qr08mT9Q/mzfYvh2ya05t+Frvjhurl5/qr9hZM3Rxa9w1H3fs6y/11qjn9MrTA7Tp3bm2L3dGk92LqaeewrtlTazq1rxNEaGhmjBqZJqmqVCunIoWKaJ/4o9Y49j5E0dVonhxlQsOTtNzfP/NWk0aN1ZvTpmcKd9Ver1w46OUMzx6vDpV7KmmJVqodZmHNDhqzDUfNyz6RbUv/5ialmih+8t20LPR42xf9oyEYkrc8sH4cdYX0Pv8eyMjby8vvT1qZIrT/bN5g3L7+6tQYEHNmv66Nq6J1aAB/eRwONJ0F915L4yWX44ccjgc1nzb330XO3U2ZFSvnnI5nXKYhDgdDj37eFe3x1zYskk97m+XcM2cwyWHccjby0tThw62ffnTG4qp5+XU+rXKmyuXjDHy8vKSw+GQ0+lUw+rVU5228W015HA49HS/Ptq4JlZvzZimwoULyT+nn85uWpfitL9++okqlSkjY4xy5MghY4wqlimtX5Yusn2bZLd8PWe2CuTNJ2OMXA4vGWNUKyJCR9bEuj1u0eRX5J/D79/HuWSMUYvbG+hMKr/rWzHZuZh66im8ze+8Q06nUw5Hwt9YY4xy5fLX8b27Upzuw7dny+l0qkG9ulqxZJE+X/qJGt3eQE6nU+++OSPFaS/8fVCPPvC/hP0/b285HA75+flp3ozpmb5+HC1NvaSVzlUuYV/LJIxPfq6c6lixp9vj+ocPU+EcxRLGMZPwOsnjnU89qgywfR0yss4UU2LFx8dHJUuU0IavVkvnTinu668UXLq0fLy9U/0y+m0L3lPhAgWsC+NdLpdqRUakWi5/WrxQXl5eeqBdGx3cu0vnTxzVG69Nlsvl0tgne9m+TbJTlr0+RcYYBZso3WG66A7TVeVM1YS7IU+cYD1u+rChMsaokqmtO81jamQ6qaSpIofDkeWOOFBMPS8hZcvK4XBo6uSJOn/iqA79vlsPP/A/ORwOvT4k5Q9P/tm8QXWjo+VyuayxrFD+/Km+ri9ujVO10FCVLVNGG9fESudOadPaL1W2TBlVDaly3aN1JPNzasPXKpA3n/I7i6qeeVBNTXdVNXfJ15lDDzZvZj1u38rl8vX2UWFHGTUwj6iJ6aYI01guh5cGdupo+3qkN9m1mHrqKbzvvvmGHA6H2rW+T3/t+U0XTh7TzKlT5HK50nTUc8ywZ+X37wdkiR+WjRz8TKrTvThyhFwul954bbLOnziqg3t36cH728rlcunnzRsppv9hogpUl5fxUbRprqamu+qZh5TfFFMOl5+eiRxtPS44dwXlMLlUw7RUU9NdtU075Tb5ld+noIZFv2j7eqQnt0QxvXz5sg4cOKDff//dSmrYocv8vPxUfxljtOiDd91OY1u+eOG/p7F1TdPzbJw3R3PGPJ/mGx4N6txRAfny6eyxw27zffThB1WuVCnbt0t2SquGDZXPVUhNTXc1Mz2s5HcWUbPata3HRVWqrMKOMm6PaWq6yd+VR93atrF9PdKTzNqZYxy7deLj7a0H72/nNp78E39E+fLlU5GCBdL0HPtXLdecMc9r/dy30/T4b9+fL2OMln68wG2+Sz9eIGOM4t7LWh/YZOXMHzdGxhjVMw+5jVGVTC15ubx0dG3C+21c3yfl5fRWY9PZ7XFBJlwBufNmuQ8T7BrL7C6mnnoKb6kSJZQ7Vy6dOXrIbUzp+MjD8vb2TtNzXPj7oBbOnaOP3nlbF/4+mKZpypcN1iMPPeA2z3PH/1b+/AEa1LcPxfQ/yuDI0XI5vFTB1HAbnxqYhK9ObFn6fxoR85KeDB0sY4zCTWO3x91mWskYo0crdLN9XdIT24vp7NmzlTt3buXPn18FCxZUwYIFFRgYmOp07NBlfjq2vFfGGO368Xu3AWn/bz/LGKO2d95xU+bbocU9qhYTnewi/ZfGjpZ/Tj/bt0t2SrWQUBUzFdwGt2amh0qYygovX8F6XJH8BVXWxCR7XEFTUi1ub2D7eqQnmbEzxzh2a8XlcmnsyBHJxpQa1aoql9/NGVOWTJkkY4z2/rTDbZ6///yjjDFa/OpE27dLdsmEAf3k5fBK9gFbVXO3jDHWqdVPPvyg8ngFJBvHQk0DGWN0Li5rXUpi11hmZzFNPFpqd4m8GcmTJ4/Cw0KTjWOvvPiCnE7nTZtvrlz+Gj9mVLL5Vq8aow4PPpCp8+L60uunX9izMsYo2jS/6iBAd3kbXzUu3lwjYl5S54pPyBij2qad2+Mamy4yxui+Mg/avi7pie3FNDg4WDt37kz3dOzQZX6WT50ih8OhCS+McRuMprwyQcYYffjyeLfHH//mK80cMUzDuz+uD18er382b9CRNbGa9uwQDe/+uBZNfiXV038vbdusSYOekpeXl9sO3ZWzJ1W3di3Vjoq0fbtkp/S4v61yuvx1h+lqDW53msfk78qtji1bWI+7q25d5XUVVBPTzXpcI9NR3k4fDe/+uO3rkZ5kxs4c49itFV8fH9WoVlWXz5ywxpR9v/4kLy+XQsqWdXvshS2btHzaaxrRo5tefWagDsau0vlvN2rxqxM1vPvjmjp0sP5eszrVef6+YplcLpcmjh/nNn5OeulFOZ1O7V3xqe3bJbvki5nTZYxRVXO3245aKROigNx5dTZuvS5t26y3Ryd812Md8z+3nb7CjtKqXLqM7euR3tg1ltlZTD31aOmV40cUExkhp9Op3Tt/cNs3qlentnx8kh8x/XVLnMY9N1yjnx2qLWtideX4Ef24cb3GDh+mscOHafv6b9I037o1b1OdWjXdxs/ff/5RXl5emvjCmExbP46Wppxno8fJ3yu3SpjKbuNYddNCxhg9XL6rRsS8pIERz8vl8FI5U83tceGmYcJ32VZ5yvZ1SU9sL6Y1atTI0HTs0N2c5MmVS14ul4YOelqrli3RiKGD5e3tLf+rjjJ8PWe2CuTLJ6fTqUKBBWWMUVCxYsqVM6dcLpcCCyb8LKpSJf21emWK8zy69kuVKFJY5YKDNfuNqVr68QK1vOdujjLYkJ2ffCw/3xwKcBZWpLlTUaaJ8juKytfbR999+L71uK9mz5TL6VSgo6SiTTOFm8bK4yyggNx5tX/VctvXIz3JjJ05xrFbKw/ffZeMMbq7eVMt/XiB3poxTWWDy8jLy0ub35vn9ruvGxMtY4wK5M8vb29v+fn6qmzJEjLGqGCBAnK5XMrt76/Ppk5Jdb6dWrWQj4+Phg0epFXLlmj4kGfk4+Ojji3vtX2bZKdc3BqnmuERyuHyUyVTW9XMPSplQmWMcbtvwemN3yi4eAn5u3IrxNRXVXO3ipryMsZo7thRtq9HemPXWGZ3MbW7QN6s/BS3QV5eXgoqVVKzpr+uTxd+qFYt7pExRq3vvcftsc8PSTidM2fOnMqTJ0/CqZ2hIf/eLCmXcv17M7i+Pbun+v2jn37wXsJNwO6+S0s/XqDZb0xVubLBKl6sqI7v3U0x/Q/TtERCCS1pqqiauUeVTR35GD8V8yvhdu1ozUL15DAOlTFRqmbuVQVTQ17GW5Xyhtq+DumNbcX0zJkzOnPmjMaNG6dXX31VR48etX525syZVKdnh+7m/DEPrVBBvr6+1o0/XE6nfH19Vb50kHW9zdm49SoaGKjaNW/T7z//KJ07pc3frFHRIkUUWLCA/tz9q3TulL7+4nMVCgxM0ynAPy1eqEa31bAu0g8uUULzx42xfZtkx6x9e5YiK1S0fhdh5cpf83toF01+ReVLlrIeVysiQlsXZL2v+bmRnTnGsVszo3s/IYfDIV9fH+v16eeXcOfVpK/Rbm3bKE/u3FqxZJGunD2pv/ft0X0t7pXT6dSiD97VlbMn9dee39T0jsbKkytXqr+ns3Hr9eTDD8o/Z8K8/HP6qfdDD2TJO7xm9fy9ZrX+17SJXM6Ev2UBufNq7JO9kl03umf5UjWrU1sOh0PGGBUtEKgZI561ffkzErvGMruKqScfLU0spknHrsRvS3A4HBo28CnrcV/8ex+QIQOf0tljh3Xh5DFNnTwxocC2bKF/4o/o/ImjemnsaBlj9MFbs1Kd93uzZiq4dGlrvo0b1M/0Gx9xGm/qGR49Xk1K3KucLn8ZY+QwToUEROipiOfcHjcs+kXVLdJIPk5f607k0QVrXPerZW7l2FZME2/f73A4rCT+v9PpTHV6dugyP5vfmydjjJYt+kh/79ujVcsW69Dvu7R6+acyxuibf78HcOGkl2WM0fZvN7mdsvbWjGkyxmj/bz+7ncbmcrmS3aL/evlz9ef69dNPdGHLJtu3R3bP3hWfas/ypSneAOTi1jj99uli7VuZtY6SJs2N7Mwxjt2aKR9USh3aP6yLp47rq5Wf6Ye4jbpw8piKFC6kPu0f0qVtCXff9c/pp2GDB7mNY0cP/C4fHx+3U3L3//azHA6H3nxueJrmf2L9Wv28ZJFOrF9r+7bI7jmyJlY/L1lknb57vRyMXaVfli7K0l9RZtdYZmcxtbs83sw806+vChTIr3/ij2j7t5v01crPdP7EUXXr2lklSxS3Hvdwu7aqXKmirpw96TaWNWtyp2rXvM3tZ3Vq1VSzxo3TNP9LRw9r17ZvdfCXnZm+bhwtTV+GRr2g3qGDNDBiZIqPGxI1Vr1CBukZm79T+EZi+6m8GcUOXeZn+bTXZIzRr9u3uQ1k+379KeHrQia9rEvbNmvGiIQLspN+cXPSL6HftnGd9bPPPvlYxhj99uli29ePkGuFr4vxvOTLk0djRg5PdvOO26pX08N3N9elbQnXyBtj9M6sGckeV6xoEQ0Z+JTbdV25c+Xi66vILZ3s9HUxnn609MrxI+ryaHtFhocnG59eHjdWOXLksB7XtFEj3Xt382SP6/NET5UvVzbZHX2rRkXavm4cLSXXi+3FtHv37mn62dWy6w7d+W836pPJE9XvkfYa0aObflq8MM3Tnt74jd4ePVJ92j+k8f376M/Vn+vE+rWaMeJZ9Wn/kJ5/ooe8vbw0asSwZHfHdblc1te/bPsw4fqDOW++4fa4J3v2UK6rbm3eof1DKhoYmKU/hb7V8vuKZRr7ZC/1feRhvTtubKpHAkjKyYydOcax9OeHjxfo2ce7qv+j7fXZ1ClpPkvi4tY4rXnrTT3dqYOe6dJJG+e/o4tb47RyxjQN6PCIhjzWRbUiIxQdGaGLp45bY9GuH7+Xy+XS5EFPW89TObiM7mnezO1Iw9dffC5jjD5Z8J71s08XfihjjL6YOd327eYpufrv0YEvVti+TFk9do1ldhVTu8vVleNHdGzvLk0Z/6L69uyu6RNf1ok/9qR52n07ftDY4cPU74keem/WTP1z6E/t/m6LRg0dov5P9FSPLp3lcDi0c9tmayy6fOaEbqteTfVq1bSe59mnByhXrlw6/Mdut693KVmihO5vc5/1s5OH/1ThQoXUo0tnW7eZJx0tHR49Xp0qPqE6RRqqbpFGeqxSH9uXKavH9mIaFRWV7GeRkZGpTpcdd+ji162xbtQRVLKk8uTOLYfDoUmDnkp12t2fLVW5UiVljFG54GDlyJFDfjlyqGBAgBwOh8qXLSsfHx/5eHvL6XSqV/du+ujduerbq6e8vLz0eNvWbs93X+NG8vPLocFPD9BH785V5w6PWNc/jBg6WB/On6uH/tdOxhhrR5DceN4f/4K8vbzk7fRWHq98MsaoSnCw/lz9ue3LllWTGTtzjGPpy6hePROu+8uXTyWKF5MxRk1q19Lpjd+kON35bzfq4bubyxijIoULWTdZCy6RcLOi4sWKqkD+/DLGyOl0qkG9upo3+01NeulFlSxRXKWLF3Pb1vNeGG3d5OP9d97WC88/p/wBAXK5XGrX5j4tmPeORg4bqjy5c6t+1Zgs972Wt2p2f7ZUZYoVlzFGebwC5OX0Ug4fXy2ZMsn2ZcvKsWss+6+LaeLRNrtL6YZVnyt/QIC8vLxUoXw5OZ1OFSlcWN9/szbVad+bNVM+Pj7KmTOnygaXSbjBTfHicjqdyp07t8qUDvr3OvWcKla0qF558QXNf2uWGje8XU6nUys+/tB6rj9/2qHAggVVoXw5TXt1kt6aMU3VYqLldDpVrmywZrz+qt6c9prCw0KVO3cu/fLtJlu3m6ccLR0W/aIi8sfIGKMcJqd8TcK1wNUDa2t49Hjbly+rxrZi+sEHH6hNmzYKCAhQ27Ztrdx5552qXbt2qtNnxx26fo+0l79/Tn3x2VLp3CmdPXZYvbp3k8Ph0A8fL0hx2ia1aymoVEnt2BJnXUfV9M475O3tre/j1kvnTunQ77tVr05t5cqZUwUDEkpP/rx5NeSxLsmOeJ7e+I2efPhB5fZPuCC7WKFCGvPkE3q8TWvl/PdC/aBixTR16GB25jIpB2NXydfbR0Ud5dTYdFEz00O1TFv5uXLq/iZ32r58WTU3sjPHOJb+rHvnLRljNPjpATp/4qiunD2pJR99IB8fH43s2T3FaRMvI3hrxjRdPnNCl07Ha9JLL8oYo6f79tGVsyd14eQxjRoxTMYYlQ8qZZXUlg1v1+7PliZ7zrljR1mP8/Xx0SP33K1Xnu6v0v8WZr8cOdS1dats9Tu62bmzZk35u/JYX9PS2HRSIUeQcuf0V/y6NbYvX1aNXWOZHcXU7lJ68cghlQkKUo1qVXVg1y/SuVPa+9MOhYeFKjwkJMU73x78Zad8fX31v7atdeLQAesGkvnzB6hc2WCdPnLQOnsjd+7cKlsm4Y7ixhiFVamixe/OS/acP25cr6aNGv3/zQirV9es1yarYb261s8a1KmtuNhVtm43Tzpa2iIo4eBLmGmopqa7mppuqmzqyBij+8t2sH35smpsK6bbtm3T7NmzVapUKb311ltWPv744zQtTHbcoStUIL/69urpdvrsP/FHVCB/fg3q3PG60x34YoWMSGtABAAAIABJREFUMZo1/XW3aff+tEPGGM1/a5b1s+//vQvcwokT9Nfqlamegns2br31vX+JPzuzaZ0Oxq7iBkaZnCmDB8nlcKmR6eT2XVWVTC25nC5utJLB3MjOHONY+tPj/rYqVbKELp2Ov+rap/YqH1QqxWnrVY1R0zsaJ7uWqmp0lFrde4/bNaEVy5fXI/fcrcNffZHqe+Pi1jgdjF3ldsT2wpZNOhi7ijvqZnL+XJ1wqnSoaeA2jjUw7ROu+R2T9b6m5VaJXWNZdiymXy5dLGOM1n/5hdtYlHhfjcTvEb1WXn1xnLy9vXVk/163acePGSVvb2+3y6GGDnpauXL56+S+vTqy+9dUv+rlxB97dGzvLrefxf++J1O/5oVimpCgXMEqaEq5jWPNTA/lM4VVKW+I7cuXVWP7qbyHDx/O0HTZcYfO29tLr7z4QrKdspDKldStbZvrTvfjJx/JGKOVny52m+7CyWNyuVx6beLL1s/iD+5PuH509PO2ry9xz/NP9JCvK4eamu5ug2CkaSJjDKfzZjCZcfob41ja80Czpqp1W41k49iIoYNVMCAgxWnDK1TQY507Jpu2TauWalCvrtvP7mh0u+5tUN/29SXu2fnvjns1c4/bONbEdJPT4eTSjxuIXWPZf1lMb5XTeBfOm5PsWwh07pR+3BqXcD364oXXnXbkkGeUP39Asrvovv/O2zLG6O99e6yfvfHa5ISbTR760/Z1zox4ymm8I2JeUqEcRVXSVElWTIuYsgryD7Z9+bJqbCumbdq0cTtd5OqkJjvu0DWoVlXVYqLdbujx7bq1qX7KfC5ug4oGBuqRhx5wGwTfnjk94fSOenVVoXw5NWxQX/379JYxRvViolUhqJTurFVTWz6Yrz8+/0zPP9FDnVq10Iv9+uhg7Ko0L/f2hR9qYKeO6tyqpaYPG6qT67+2fVtmxax+8w0ZYxRtmlsDYFPTXYVMaZUtUZJTpjOYG9mZYxxLf6YMHiSn06mfvvvW7cyPyhUrqsXtDVKctnu7tipcqJDiD+63pj24d5dy5MihGtWqqnKliooIC9PIYUPkcrlUJypSlcqUVlSlinrzueE6s2md5ox+Xl3ua6V+j7TXt+/PT/NyH137pSYOHKBOrVro2ce7cqfxDOZc3AYVzl9AxUwFt525cJNwGmJ6fifEPXaNZf91MbW7XF05fkQHdm6Xl5eXxo4c4bZfNWhAP+XMmTPZUcukWb1kkYwxWvLRB25neTRv2kQFCxRQ9aoxqlShgjp3eES1a96msqVLKyYyQhXLl1PPLp11ct9erft8uZ7s/rge6/CoFrw9Wxf+Ppim5b509LCWvDdf3Tp1VM+uXfTF4oWpHoWllF471QJrydfkVGPT2RrHGpoO8jI+qlukke3Ll1VjWzFNPE2ke/fuqlq1qiZOnKiJEyeqevXqGjBgQKrTZ8cdui9mTpeXl5dq1qiuaa9O0vAhzyh/QIAiKlZI9XSzqUMHWzf5eHPaa+rdo7tcLpdcLpe8vLwUGREuPz8/63vLfHx8FBkRLl9fXzmdTvn6+MjfP6eqRkfJ19dX+fPm1cb576S6zNOHDZXD4VCB/PkVFRGecKOloFLWHX5J2nNxa5waVq8ub6e3yphIhZoGCnQkXBs3f9wY25cvq+ZGduYYx9Kf+HVrVKF0kAoXKqTnhz+r1ya+rOjICPn6+Oj/2Lvu8Ciqr32mbK/ZZHez6b33TnovlIQEQkIgEGoIhN6rgKiAqIiC2FD82cGCioIoKorSBOy9d0BRw0cUI+/3xyRDho1AMLiU5HneP7zce2fmzuzxvPee855dD9x3xrEfP/MkjHodggMDsfL6Zbj+2iXw9HAHx3FCTmmAP9xsNjGniogQEhwEq8UCIoJOK+TER0WEw9UqtJ1LCZj3ntwIN4sZPM8jPjYGep0OcpkMj924wuHreSli7fy5ICJYGV9EUA68KQocw6E8L9fh93Ypw1G27L8iphfLaWkbJjbUg2EYjKgbgnW3r8HggVUgIsyfMe2M4/7+5TDys7OgVqsxY8ok3LnmFhTm54o2y2RyQkR4GIhIzC01u7ggNCQYRASZTAYigoe7O8LDQkFEyEpLxbHvvj7jdf889AP6FAsRVkGBAaLA0rDBg9Dy86ELulZ/bX3psiKlC+NXYELEbChYJTRkRAilIZh6QE16aDgtpkYtcPj9XapweChvbm4ujh8/Lv738ePHkZeXd9ZxV6JD13JwH56/4zakxsaAiKBWqTCyohw/vXxup5frr1mMMH8/UdRIqVAgPCwU33/+CdDchN9++g5FBfngeQ6fvPtW62nEp1AplcjJysDRH74RRZIS4mIRHuB/xlO6L7duBs/zGD1imFjz9IOD+2BztaKysMDha3kp4rc3XsWk2kHQq7VC0n1AIDbcsNzh93UpoyvC37rtWOfwzbYtqO3dC0qFQojaSEzAjnvvPqexBzc+jF6ZGWBZFjzPw+JsAs/z2Pr0k2I5hVU3XA8iwsi6IUBzE1qO/YrkxATotFrs27kDaG7CX01HMXPqZBAR3tr4yBmvmR4Xi+DAQHz98QdAcxOOHfkRFWWl0Gu1OLrzFYev56WI9dcsRrC3j6DOrDNg1ohh3fm8/xKOsmX/JTF1NBmVkK0jP2HpwgWisriPlxduXnbdOZ1ANn37FSaPa4DRYAARwd9H+C1MahyHE7//AjQ34a09b8DJaITJyUmMlFu98kYQEZZfczX+/r/fgOYmvLT1WSiVSiyYOf2M11y1bCk4jsOmDQ/j5PHfcfL477i7tX79hvX3XNC1utxOS9vQEDYVQfowMMSAJRahxkiMD5/l8Pu6lOFwYhoUFIS///5b/O+WlhYEBQWdddyV6tC1oXnvrvMWFzq+9w1sWrUSRNJafe3zI+bNmgE0N+H5ZzaBiHBg105Jv62toShnCrtaMXUylEolfj/0vV1dVJ7nz1oaohv/jL8O7EXz3u7asF2BrnDmuu3Y+eHE/j3n/R3/sW8X/nxzNzRqNQZVV0lszMnjvyM0OBh+Pj5im8FgwJwZ0yT9/vzt57OKx325dbOdSByam/D1xx+AiPDA0mscvo6XMo7vfaM7DaGL4ChbdqUS0zb8/cth/PHT9+cVEvv3L4fx56EfkJOZAa1Gg+ajhyV2ZtH8uWBZViSmo4bXwd/P1y4/dUTdEAT6+53xWimJCRKRuDYkJyagvHevC0fgL8PT0tMxP24ZFsQtd/h9XA5wODEdPXo0ioqK8OCDD+LBBx9ESUkJRo8efdZxV7pD929x96KrQETY9cp2iYH65fuvQUQYO3oU0NyExx66XxDWaT1VbcPB3a+DiPDyPXf94zWuaqiHs8lkZ0DvX3cXiAhHdrzk8HXoRje6wpnrtmOOg1KpwNSJ4+2crdzsLNhcrSJR5TgOK69fZtcv0N8fjQOr/nH+dx7fIIiZtJbpakPz0cNgGAZr5891+Bp0oxstBx1ny/4LYnqxhfF2NRLjYmFzdbXzl9becjOICE2HfwCam1Bd2b9D8bi5M6fD1Wo94zXCQ0JQP3K43djSXj2Rn511wZ7tcj0t7caFgcOJ6YkTJ7Bq1SpUVFSgvLwct956K06cOHHWcVeqQ/fr6ztw65xZGFBUgBHlffHiXbd32O+jp59ASXoaPKwWRAT4475rpSq7R3Zsh4znMaJuiMQQLluyGAwRhg6uQWVFOcY3jAHLspgwrgEzpkxCZUU55s+eiSGDaqDXau3KMDy07DpEBQXCw2pBQng4iAiPPXS/OH/LsV+Rk5mB6OCgLtsl/2PfLjy8fCkG9SrBoF4leOT6pR2WuTm2eyfuWrgAVcWFqCvrg2dWr8Kvr+/AmnmzMaCoAMPLy7DtzrXdu/dXGLrCmeu2Y53DXwf24rnbbkVdWR9UFRfijqvmoWmXvSja8T2vY9rQWvi6u8PHzQ3ja6px7LR+/p6esLlaJYJIH729HxzHISoyAtWV/TF8aC1CgoIQFhKCm1csR1X/fhg1vE6sgbrxxuslc36w6TEUp6WK9tPZaER1ZT+Jrbz1phtARHh/02Ndti77Hn4A46oHoH9BPq6d2PiPaRovrbsTIyvKUVlYgFWzZuCX117GlrWrMaxvKQYUFWDt/LndInNXIBxly/4rYupo8tgRPtm/FzMmTkD/slLMnTYVX759sMN+j96zDtEREfBwc0NhTg7e2/W65N8XzZ4JIhJTEtoqJyQlxEOtVmPksKGo6t8PVf0rQERYe8vNGDZkMKor+2P1yhvh4+2F6opyyZx//PQ9powbC19vL/h4eSE6IhxmFxdJmZovP3wPSqUSS+bN7bI1OfTpR7juqgWo7FuGcWXlqKLBHb7TyZHzkGnLR5hTFFKt2RgfPhMTI2Yj3TUXYU5RyHDNw6SIOQ4nSt34b+FwYnq+f1eiQ/f99ucR6ucLjuOQkZaKAD8hX3TG8DpJv61r10Auk0EmkyErIx2urlYQEfoX5Ev6JbYm1xfm5+Gm5UtRXdkfDMMIIiE6LXKzs2DQ68GyrJAHZDQiNzsLWq0GLMtibFWlZL7a3r1ARLBYzMjKSIdMJgPHcVDI5RgzagRuWHotkhMTwLIsnrplZZesyfG9b6AkLU1Qq7X4ItYs5Gn0TE+ThAj+8trLiAsJBUMMTKwNBs4ZRASDVgcigjPrBh3nBCLC5NpBDn/X3fjv0BXOXLcdO3f8dWAvxlT2F4SJggKRmpIMhmEQFxoiiaI4tus12MwurWJFEYiNiRZEQJycJOv1wNIl4DgOPt5eWLJwAWZNmwKjwSCKhvRISUZggD+ICAzDgGEYpKf2EIU/PKxWyUbWs2tugayd/bS2iiQREXKzMnHT8qUYOrgGLMtiRHnfLluXNfNmg4jgpjUhyz0UCl4GV5Mz3ntyo6TfnFEjBBvNGeHMuIFlWBg0gh3TcyY4szYwxCDCPwCHd2x3+Pvuxn8HR9myK5WYbn70YUEM0uSEvJxs6PV6aDQavPzMU5J+wwbVCL6R2YzszAzI5XLIZDyeuP8+sc+Jwz9CIZdDIZejcUw9rr92CaKjIkWfzN/PF2k9UsCyjGjbgoMCkZKUKAhWymR4/fkt4nzHvvsarq2ib9GRkYiJihKEk3ge3l6eWLxgHubOnA6L2QwfLy8c+fyTLlmT93e/AauLC5S8HFnuobCqjGCIQR+v/pL3OTx4HGSMHDKSw5k8ICclWGLBEgsZKeBMHpCRAjwjw5DAeoeTpW78d3AYMV25ciUAYNq0aZg+fbodzvZ3JTp0o/qVw9lkwvsH9orhadctXiiE5LZTs7SYTPDx9hLra7Uc+xWNYwT1uN2t/U7s3wONSgWL2QytVguWZaFSqcBzHNJTe4hhI8eO/IiCvByo1Sr89tN3okhSWo8UBHp7iXmubz/2CFiGwajhdWIuxA9ffAp/P18oFQp4urpCpVQiKyEeW29f02VrsnruLLAMi00lU9Fcvx7N9evxRMkUuxC7WSOGQcbKkUr9xTIrEZQNIkI4ZYptIZQKIsKr69c5/H1347/Bv3Hmuu1Y57H19jUgIqxeeaN4Arn/jdeg02oxrW6I2K+urNQuD/75ZzaBZVn0K8gT+2UlxAsiSGYzOI6DTMZDo9FApVTi4O7XRVvZJoi0/q7bxbYlCxeAiLD34fvF+VycjPDz9cF3n30siiQ1jB4piI0FBkKpUCDAyxPLJk/En2/u7pI1+faFLZDxPEaF5aBp1Do016/H54NvRqCTDfnJyWK/fQ8/IKgPU5JYzziTaiAjBQxkFdvSaAAUrAITB9c4/H1347+Do2zZhSamF2MY7x8/fQ+rxYKSwgL8388/Ac1N+P3Q98hMT4Ofj4+ocvvBnjfAsiyGDRksihr9+OVnCA4KhJPRKM636cH7W5V23SCXy8GyLPQ6nSh01GYr331zD/Q6HbIy0sW2fTt3QKNWY9bkSeJ8tdVVYBgGzzy+QbSfW556AkQEL08P6HRaOBmNGF47CN++/06XrUtuejqCTG74fPDNaK5fj6ZR6zAiNBscw2Fa1FVYGL8CC+KWw0nuAieyiaVWCmk0zOQNljjk0jCU0FgU0Cg4kzv0MmN3/uYVBIcR07Vr1wIAFi5c2CHO9nclOnRGvR5zZ06X5Aa0HPsVNlcrpgypRcvBffjiuWfEMI/2/X776TvwPI+KfEGO/7GbVoCI8OyTj4l9Xn/pBRARXnvxecnYfTt3gIiwfctmsW37FkEQZM9DgkNX07MELMPg5+++koy99861ICK8/diZVS/PF9kJ8Sj2ihZJaRsKPCORm5go9vO2udkVQi6mBmjICHcKkbZxekyoGejw992N/wb/xpnrtmOdx8iKcgQFBNjlUjWOqYe3m5vYz+zkhJysTLt8qD49S2DU68V+GpUKdbWDJH3c3dwwcdxYO0EkH28vNIweKbb91XQUFrMZ04cNRctBIQWCiHDnmlskY4/+8A04jrtgauK3zpkFnuXwQ90aiR1bmyWcjraF9M4YXgcVp0YRjZHYsgBKAEe8SExLaCx8KApWJ2eHv+9u/HdwlC37L4ipo4no6dj6+EYQkbj51YZXtj0nHBa88DxOHj2CupqBYBgGh7/5QtLvf+vuBBFh/ysv4eTRI8hMS4Vep8Ofv/0s9pnUOA5uNpuovtuGmVMnw9nZJGkbM2oE/Hx8xPtzcTYhPzfHzn72LCqEycnpgqzJT598CCLCHdkjJXbsu6GrwTEsenv1w8L4FagPFdTQE6lUYsfSqRpEhATqJbalkBC6PDy40eGEqRv/DbpDeS8hKORyLL/majtDExTgL4bVtgl1PHzfvZI+fzUdhUqlQnFaKloO7sO9SxaDiLBz+zaxz4utpPbdN/dIxn763lsgImx+YqPY9ubrr4KI8Eqr+FF5Xi5kPC8xqmhuwpOPPnRBTyCTIyIwICDFjpj2909Gj6gosZ/V5AI/ipUYwRIaCyNZYaMASZuBc8GofuUOf9/d+G/QHcr732JQrxIkxsd1KN5hcTaJ/ZwMepSX2StIDhk0EDqNRuynVCowqXGcpI+zswlXzZ1tNzY6KlJCYk8e/x3+vr4YP7AaLQdPnUhueOB/knEnfv8FCoUCvTIzLsiaXD91ElQyOX4febfEjj1Y0AgiEus+Txg0EDrOICGgJTQWIZQGhhhJewAlQq/ROvx9d+O/w+UaynsxEtO2E84vPnxXYive2vMGiAgvPbMJJ48eQWXfMnAcZ6e2+/RjjwoCkpuFsN/k+HhYLRbJht2YUSMQHBRoZ8euW7wQarVa0jZr2hTYXE+JHxkNBgzoV2E3tqZqAAx6/QVZk6/ffVvwPwvHS+zYbyPvhpzlUeRRioXxKzA8WLBrbRFsbcihISAixFKRHVntDue9cuBwYurv748xY8Zg48aN+OWXX8553JXo0PXOykRocDCOHflREtpGRHhi5Q1oOdgaoqtWIzM9TQypRXOTWKuqrbTBr6/vgEwmQ++SEkxsHIvC/DwMHVwj5oO2N46TGsdBLpeLdUxPHv8dw4fWwmQwiIIlm1bdBCLCrTfdIDnNLcjNgUqpPO/SNmfDvNGjoJUr8WHNDaIR/LBmBdQyBRaMGS32G1LaGxpOh3waLhq8VBLy3MJaQ3lLaCySqAxEhEdXLDuv+3nhrrWICw2BSW9AkLcX7l50lcO/m26cGV3hzHXbsXPHvUsW2SmCH/3hG3h7eWJQrxKxX35KMhQKOT597y2x3zeffAi1Wo2UdptOoX6+cHE24ZpFC9CzuBB9+/RGVEQEPNzdJYJIO7dvAxHhnjtuE9ue2/Q4iEjMeW9LccjOzJTYz9tvvbnVLlyYmsEHNz4MIsItGXWiHWsatQ65HuEI9/UTBdmebr2P+HYnCoU0ChoywkBWsS2fRkLLGs77hPf77c+jX0EezEYnWJ2dMbqyn53oVDcuPjjKll2JxPTnLz6FSqWSKIKfPP47Rg2vg9FgwLHvvsbJo0fw7Abht33ziuUS36i4MF/wjQ7/iJNHj2DZIiEta/7smaiu7I+ignxU9iu3UwRvOvwD/Hx9kZ2RLrb98v3X8PTwwNCB1eL9ZWekQ6lQ4PMP3hH7ffXR+1CpVEjvkXJB1uTvXw4jNCAQeR7hODbqHtGW3ZwuEM6xYdOwMH4F5sZeByWrgjuFSDbT/CgWDDHIaw3lLaYGeFE45KwCs2Ou6fR3syB2OXLdSmCQGaHi1PDR+qOh9R66cfHC4cT0s88+w+23347KykpYrVYkJCRg9uzZZx13JTp0+x5+AFq1Gn4+PpgzYxqGDRkMhUKB3OQkSa7TksZxYBgG4WGhWDBnFgb0qwDDMPDzcJfM1zM9DSzLwsnJiIqyUni4u4NhBJGPzPQ0LJo/F7lZmaLwR1F+HhbNn4vMdEFsaM282ZL5Qnx9wDAM+vUtw1VzZyMqMgIMEeaMGnHB1uTHl16Ar80NziodGiMLMS6iECaVFn5ubvjxpVOKlh8+9QScdHpoOB38KBaeFAaekYEhBgrSwI/i4EGhYIiFSqHE8fMo9L5q9kwwxIAnOazkCyVpQUQYWtrH4d9ON/4ZXeHMdduxc8f/7XkdSZERUKtVGD1iGGZNmwJPD3c4GfQSoZ9PNm+CUqGAXqfDhLENmDx+HJyMRijkchzc8LDY7+lbbwbP8+A4DoX5eUhJSgQRgWVZuNlsmDVtCkYNr4NCLgfP8/D39cXcmdNRN3gQ5HI58lOSJfbzqgYhHz8iPAxXzZ2NyopyMAyDQC/PC7oudWWlYBgGFX6JmBvfF1EuXuBOE4o7sX8P8lNSwDEc3CkE/hQPHSeIixAx8KBQ+FEcFKQBQwweu3FFp+/jy62boZIrQcTAmTxgJFcQEawm525yepHDUbbsQhLTizG/tA3XLpjfKiCZi0Xz5yIrI13YoL9+uaRfeEgIGIZBeWkfXDV3dquoEWHmpIlin5afD0GtVoOIEBEWht49S6BUKsHzPGQ8j+FDazFnxjR4eniA4zioVErUjxyOmVMnw8PdHSYnJ3y0b7c430f7dkOpVMCg12PiuLGY1DgORoMBCoXCThG4K7HpttVgiUWkyRNz4/uir28CGGIQ55Isea+9vYSDARPZEECJMJOX6GuayB0BlAgnsgnCT7qg8/p2PDWCGKaWnGAhH7DEgSUWtQHdp68XMxxOTNv+3n33Xdx0003w8fGBh4fHWftfiQ5dy0FhZ72quBA2sxnBvj5YOHZMh2UWVs+dDVcXF8jlcmjVapTn5UrI1on9exDk442MtFQxcf+vpqMYPLAaPM8jOSkRVqsFPZKTkBAXC51Gg6TICFhdnJGZEC+e0LbHH/t2obKwAFqNBnK5HBaTCTfNmHbB1+SbbVvQOLAKXhYrvCxWNA6swrcvbLHr9+FTT2BIaW9YnJzh7eoGk0EPjnhYyAcKUkNDRphJUOq8cfrUTt3Dif17oODlMJIVBTSqdbdvDNwpBEQMvnjuGYd/O93oGF0Z/tZtx84NR3e+gjmjRiDAywtuFgtqe/fqsOzK2489gpjgICgVCigUCkQE+It57W2YNWIYNGo13t67SzwZeLw1JDcxPg5uNhsC/P1R2runsOkWHy/az8XjGnBs9067666aPRNWZ2fBfmrUqMjPPa/Nqs7gzzd34+ZZ0xEVEAirkwk909M6rBN9bPdOXN04FgGeXjAbTYhoVRy2kA/UZICCNLCQDziSISLAv9P3kRkfB5Y4pNEA8SQjnoS1O12JvRsXFxxlyy40MXU0AT0THrzrDvRITITVYkFmag888cB9dn1OHP4RVRXl0Gm1gm/k4oIbr71a0mf/jpdARFi2ZLEYsfbdZx/DzWaDm82GoMAA2Fxd0adXCYwGA6IjI+Dv6ws3myuGDqyWkNI2vL1zB6IjIkT7GRkWJua0Xgi0fPAuGpkpKKcBCDKEQC/TwaZ2Q0/P8g7Fiwb6D4OXxg9qTgubygMMMdCRC4zkCjmpYCRX6MkFLHGYE3ttp76bAX5DQUQIomTxVDaX6qAkLbS83uHkqxv/DIcT08GDByM4OBilpaVYtWoV3nvvvXMad6U6dF2FA63hJc8/s0mSf/DFh++CiLDxwVO1Rw/ufh1EhC1rVzv8vrsSLLHwpzg7QSQlaRAZGNCpuZ66xT7Ern3OxPiaaoc/bzc6Rlc4c912zHEI9vXByGFD7XKp4mJjUNW/nyTMLigg4LLLHw/184Wa9HZ5p74UA5bhOj2fgldIBOHE3HuywmY2O/x5u/HPcJQtu5KJaVdh3vSpcHFxlqQQoLkJy6+5GjzPo+XYr5J8fKPB4PB7Ph1/bX0JjcyU83rPBe5CucH2G2IlNBY9qB+ICCUefTs1n4/WHxzJUET1dvn4RITZ0ReutFE3/h0cTkxjY2MRHR2NGTNmYNu2bfjjjz/OaVy3Q/fvsOchIXF/x7YtEiP445ef2YknffT2fhARnr71Zoffd1eCIQaBlGTngKnJgDA/307N9eiK5SAiJFGZZK48Gg4iwujKfg5/3m50jK5w5rrtmOPg7+mJ8Q1j7IhpemoPVJSVStqiIsJRV3Z5hdYHeXtBS052dsyfEsAS2+n55JwcnhRuN5+J3GB17lb5vZjhKFvWTUz/PWZOmgibq6udAu+qG64HwzBiqRk0N2HJwgXQajUOv+f2aDstPV9immsrBhEhgwaeptRbBSJCgXvvTs3npfWFjBR2G3bhJKSnzYxe7HAC1o2O4XBiCgA///wzNmzYgIaGBgQGBiI/P/+sYy43h+7IjpeweFwD0mJjkJ2YgFvnzML/dRA69s22LZgxvA4p0VEoTO2Be5cswiv33IW40BAYdDpYnE2YUDPwrGJDf+zbBXerBeWlvSU7cdMmTQDP8zj09ReSZH6dRoNfX9/h8HU6tnsnVs6chqz4OKRFR+OaCY34+dXz+wY8XV2hJC3y2gkitYWs2VxcoFVp4GJ0QuPAKnz41OOYUDMQCWHh6JWRgY03Xi8KkrQc3Ifje14Hz/IwkzeK25Vy8KN8OxG2AAAgAElEQVQ4EBF6Z2YgPjQMVUWFeOWeu7Dj3rtRXVyE+NAwDO7dC7seuA/b7lyL/gX5SAoPx7C+Zdj/6EN29/zXgb14/KYV6J2ZgYSwcIwfWI2Pn3nS4e/lUkZXhb912zHh+3xo2XUoyUhDclQkJtUOwucdhLH/sW8X7rhqHvJSktEjJhrzRo/Cx08/iaqiQjgbDTDq9chLTsJnm58+6zUbB1bB2WQS6zajuQlvvPwiGIaRCI5s2/zUvxI262o8d9utqMjLRVJ4OEb2K8dbG8+vpNa0obWtJRZ6t9sQGwY5qaBRqWDU6qFTa5CTlIi3Nj6Cm2ZMQ0ZcHFKjo3HtxEa7by8uNAQ8yZBNtXZCcZEBAUiOiEROYiJuXzAPnz/3DGYOH4bE8Ajkp6Tg3iWL8NmzT2HykMFIjohASVoaHlp2ncRWtuGdxzegvrIf4kPDUJadjWdWr3L4O7nU4ShbdjkS07de24HhtYOQnBCPyr5lePGpJzrs99qWZ1HTvx+SE+IxpLoKe7Zvw4oli+Hp7g6DXo+gAH88es+6s17vlc1Pg4hw/7q7JEJHwUFBiI+NkQgd+fr4oKq8r8PJ6MmjR/D5W/sxYUgt3BgbfMkPA/yG4qq46zv9nqdGLgDTmiffRiaLqQHuFAwigo43QM4qYJK7oL9vLQYHjkKIMQJuak/Eu6SIwkpt6ONVKdgsyhXtWAGNgpZMkDNy+OuC4KH2Qpo1B5Mi5qLUuxK+ukB4qL2RZSvA5Ih56OVVAT9dALy1vshxK+6QzM6OWYIC917w1PjCW+uHYo8yzI29zuHk7lKGw4lpS0sLXn31VSxYsACpqakwmUwoKys767jLyaH76eUXEOLrC6VSicqKcvQsKgTLsshLSUbz3l1iv082b4LNbIZBr0dN1QDkZGaIIh96nQ6DB1ajR0qykDx/DrlFM4fXgWEYhIYEY8qERvRIThKTz+NjYzBlQiOSEuKFZP45sxy+Tv+353VkxsWBY1n09I5BX98EKHgZwv38cWTHS52e79k1t4AlFjJSwosi4Ep+IKJWASMZ3ChITL5nGRYqTg13CoaJFdqmDq2VzDe9Tgjb1ZARPhQNp1bRECKClhPqpeo5k9im50xwpxBBvIRhhPfm4onaoHR46l0g52XYvOYWyTVmDK8TxAFYV7hTMFScGlqV2i7vrhvnjq5w5rrtmICxVYIzkJGWisEDq2FycoKz0Yi3H3tU7PPnm7tRlpMNhmFQmJeLqv79oFGrIZfJhJCtwgL0r+gLuVwOlVKJDzrIPW2PgxsehkIuh16nQ/3I4Rg4oBIymQw8z8PZZMLY+lEY0K8CPM8jLyUZf+zbdUHX4Fxw/dRJICJEuXihNigdbloTlHI5tt25ttNzHdv1Gkx6A4gYuJI/vCgCPMlBJNgUF/KEK/mLwh8MMbAyPnAlP3AMj3A/f8nm3v5HHwTP8uBIBk8KgxsFgSEWLLHgGRlsFAAz4yUIx/FyyBg5bBQIF9YDRAQ5L4OTUoOBgalIcxOcyjED+kvu+aV1d0Ipl0PNaeFOwXDiLCAiXDOh0eHv5lKGo2zZhSKmjhI+2vLYBsjlcnh5eqKudhAiI8JBRFi1bKmk3z1rbgXDMAgJDsKwIYPh5+sDlmUFtf+QENTVDoKbzQaWZXHN/HlnvObfvxxGgJ8vGIZBn149Mb5hDFytVnAcB4Zh0L+8L8bVj4ar1QqTkxM+2POGw0npwVdfgVGnh4tKh5rAVCRbAkBE6GHJPK/3HeEUAyKCgczwoWjoyUX0l9pqzitJc8qHInNrmxY8I0NdUIM414LY5TDKBX/LTN7wpkgoSCPaRWdyh40CISMFeEYm2kobBYAnWas4JqHIMwoVfolQcnKYlRZMj14kIVBWpRtY4mAlP1jIBwyx8NB4d5PTS5mYmkwmZGZmYtGiRdi5cydaWlrOadzl5NDNGF4HvU6Hj985IO6Kbd+yGUSEe65eKPYbWFIMTw93/PjlZ2K/++6+A0SEJx99SGy75cYVICLcd+3V/3jNP9/cDV8PdyTGxaGsdy8EBvijIC8Hhfl5UMjlKEztgUBvLxSnp100O9lr588FwzB4oXSuKEN+YMB1UMsUmDd61HnNuf3uOxDm7wcFJ4dGoYJCJoeKdJJT1HDKEoRU2hWDDqYeICK88/gGyXyr586GzcUMGSeDUauDWqGElfFFUespajE1wI2CwBKHfBqJEhqLIhoDC/lCxSnw64i7xLpfeR4R8Hd3F0+/39/0WGsyf0q7HcCRMLAuSIuJcfj7uVTRFc5ctx07lR5wy40rRFv083dfISggAD0z0sV+j7Xap00bHpaUMXByMqK0d0+x7eN3DkCtViM5KvKM150ypBY6rRbDh9YiNCQYMdFRGN56ipifkowQP1/Eh4Vi+ZRJHQod/df47sWtkPE8xkcW4fjoe9Fcvx5HR9yJdLdghPn4dni6eC7fcO+sTKgVKih4OUx6favN6iPaikwaBI5ksFGgpEYgz8qwcOwYyXz7H30Q8WFhUPByKGVKeFgsULBKySlqXGt0SSTliG1RlAciwiOFE0QbfVOa8C52P/g/tBwUTtUj/ANgYm0opNGSUhEcy+Krrc86/B1dqnCULbuQxPS/JlstPx+Cv68v8nNzxLrsJ4//jrH1o6BUKnHk809w8ugRNH37FQx6PWprqsXw27+ajqK0dy9otVpx7J+//Yzc7Cwo25WG6Qi7XngeRISBAyqRkpSI4KBADKoaAC9PD0SGhSExLhYhQYGoH1aHTw/sczgpPXn0CPIyMxHm7IEf624Tf+/XpQh1RxvCpp7XO8+1FUPDacETDzUrEElPChNPUYuoHi7kCZ4UYv5oIY2GE9lgUbpKTmvnxS5FpCkOclYBjnjoeMEuRrU7Rc2lOihIDSeyiW3ZVAsZKdDTK0Z8rneql0ErUyHNmn3qXt2KwRGPdKqS5MQyxKCnZ7nDCd6lCocT02PHjp3XuMvJoQv188PoEcM6zJHqm5sj9tOoVbj6qvmSPieP/w5PDw9MHDdWbPur6SgMBgMy4uL+8ZpvPvIgiAjbt2yWzPfNJx8KOabLlzp8XU5Hz/R05LiHSQo3N9evx6CgNEQFBP7r+Y/vEUSeQij1NEGkMZCTCn7thJIKqR4yVo5rJzb+43yvrl8n7B5SP8l8mVTTKpTU0y7Bvz3pfrbXDBARDrSWxlg2eSJkrAyFpyXzR1IOiAiHd2x3+Du6FNEVzly3HRNqCjubTHbiHTevWA6GYXB87xtoObgPQ0v7ICoi3M7eTZs0AW42m6Rt1PA6qFWqM1430NsLDaNH2s3XIzkJ/QvyHb4up2PdYqFe4XdDV0vs2OPFk0FE+GDT4//6Gh5WKwxkscsT9aIIqMkgaXOjQEQHBZ9xPqvJBb4UbTeflkxwp2CJeJya0WFsRIH4XMdG3QMXtU4sG/bZs0LIYiwVS+bKpxFgiMHa+XMd/o4uVTjKll1OxPTtna+CiLBt81MSe/LDF5+CiPDgXXfg5NEj2PyoICD54VtvSvrtblXXfe3F5+3qzT/2v/X/eN05U6fAYjZLUqvQ3IQbl10HjuPOSGodgaZvvxKi6drVXm7bVNfKVMh1K/nX7z/VIhwKZNMQia1oqzefSpXtNspKQESYEDH7H+dLsWRCRTq7vNNASgJHvJ14nItSL3m2EaHZsCgt4nw2lYdko68NZvKCny7Q4QTvUoXDien5/l1ODl2Ir2+HxDQjLfWciKmXp6eEmLYc+xVGoxHpcbH/eM19reUUTiem33760UVLTEvS0jokpoOD0h1GTM8Uerbj3rvPmZi25XC1J6bP9Z4JIhJzTZdOmgAZK++AmOZ2E9N/ga4ssXAl27E2Ynq6Y9Um3nE2Yjp9siD+0b5t9Ihh501MU1OS0S8/z+HrcjraiOn3dWskduyJkikgog7L5nQWZyam+tOIaRCiAoPOOF9niWnDeRHTkd3E9F/CUbbsSiCmbcKQD9x5O04ePYJnHnkIRISP3t4v6bfn1ZftiGlbfvuZiOnsKZM7JKY3LV8KlmUvGWL6+8i7oZOpkOtW/K/ffw9LZhcT0wyoOyCmQZQM1o6YxtoR05GhOedMTH27iWk3Mb2UMX3YUOh1Onzy7kHRGL38/HMgIqxbfCqUt7q4CF4eHvjpq8/FfvevuwtEhKc2PiK2rV55I4gIabExCPXzQ2ZCPO5dsgj3LlkEb5sNGrUKJoMgMFJckC+qvZ08/jsaRo+ESqm8KEnObfPmgGVYbC+bJxqKgwOug0auPO9Q3tNhdXaGgjRwo2BoyQlGcoUbBYGIkHQOobwzhtdBpVCCIw4ylodCpoCV/CShvO4UDKY1t5UjHgpSQ0smqDi5JJQ33zMCfm5uYijve09uBBEhmHpIkvmNrLk7lPdfoJuYdg12P/g/EBFWr7xRtEVHf/gGwYGBklDejTdeDyLC0489KonUcHIyoqx3L7Htk3cPQq1Wwd1iQUxIMKKDgzBn1Ai8cf96pMZEQ6tWQ6fRwNPVCqPBgM/ef1sc++JzzwjpDNf8czqDo/DtC1sg43lMjCoWQ3l/HXkXMt1CEerjc16hvKdjTKWw0eVBodCTGVoywYNCwRIvcaQyWkN5r2qol4x/ad0dcHVxBsdw4BgOeq0GSlYlCeVtE4pTkBoc8eBJDgNZQUR4tGiiaKNXZQj1BHc9cB9aDgqhvOF+/jAxp4fyxnWH8v5LdBPTf4+Wnw/Bz8cHBXnSUN7GMfVQKpU4/NnHIjHT63UYOrhGDOVtOfYrykv7QKvV4o9fj0hCeWUyGXIy0hESFIia/v2wZ/s2jBo6BE5GIzRqNdxtgnbF7bfeLBE6CgzwR2lJscOJqN06ffAuPBkvhBrd8dOwteLvfXmPmn8VytseEyPmgIiBC3nBhTyhISOs5AsDWcCTXBSaLKTRMJENZqVVEso7J+ZaeGi8wREHljjIWnNJoyivXSjvMChILeSakgwc8dCQEziSoaf3qVDe96qXQ3daKG+OGMpb3R3K201MLy+H7seXXkCQjzfUahWq+legT88ScByHnKRE8ZSh5eA+PHfbash4HjqdFrU1A5GTJewmsSwLg16PoYNrkJGWCiICx3Hw8fLC+IYxKMwTTtQYhoGfjw8mjG1AZnqaONbX2xsj6oYgqi3Bf9YMh69JRzi2eyfSY2LAsxx6+8Shn18SlLwcYb6+XUakb541A0QM5KSCF0XATN5ior2CUcGdQuDcKn40echgydiK1nXWkAHeFCURP9JxRnhQKAycc7vEfRd4UxS0dEoQKcrFC3UhmfA2mCHjebsSPVNbc+ecWRvcKQQqTgONUiU6fd3oPLqJadehvlIISc/KSMfQwTVwNpngZNBLFGf/b/dOmE0mMAyDovw81FQNgEqlAs/zYBgGvUuKMaB/BeRyGWQyGdQqFWprBqKudhA0ajVkMh5qtRrDhgxGbc1AyGWn+lVX9kfvkuIOxeMuJiydNEE4NbT4YGhwJjx0zlDIZNh6+5oumf/wK9vBczwYYuBKAfCgUHAkA9Mq/GElX7iSP3iWR6ivn0Q87sU714IhFhzJ4EGhsFEAiBgwxEDGCkJHFqbNLjLgSQEvCoeVfEU7ZpCpMDgoHRluISAijOpXIbm/F++6HQqZHBpOBw8KgRMnENqrG8c6/N1cyriciGkjMwXrlAscQrqe3fAIZDIZfFp9o+jISBARVi69VtJv0ABB7C04KBAj6obA18f7lJBhWBhG1A2Bh7u7+LvIzc7ChLENCPD3E/sV5OWicUw93NxsYlt2ZoZgP51NcDaZ8N6u1x1ORDsiptVUCxWnhLNCh9qgdPSwBoKIkGzJ6LLvwKoU/C0DWeBNUdCQ8ZSdITM8KAQq0oJjeAwNGiOOmx+zDHJWASKCmbzgRRGQk0oc60wecKMgyEjRzi76wZPCwJNcbCvxikZ//2SoODnMSvNp4kdXw6K0gSUOruQPK/mCJRbuaq9u8aNuYur4/yH8Wxx65UUsHDsGKdFRyEyIx82zptuVi+mXnwcvDw9MGDsGSQkJrQZtNIgIfp4e0Gu1MJtMsJldkJyYgOajh8XdPlerFTlZmZJaWIvmzxV+eOlpSAgPQ0V+Lp6/4zaHr8WZ0LTrNdw4fSoyYmPRIyoKVzeOPS9F3n9CUWoqdKyTKEzUXtCjPC8HscGhKEpNxaMrlklONpreeBUMsTCT12nlYmJBRMhPTkJMUAiKUoWT1vbJ/MXUABsFgiEGJWlpiA8JxZDS3tj38AN29/fXgb3YcMNylKSlITY4FGOrKvHhU084/L1cyugmpl2Hvw7sxQNLr0FRWioSIsIxYdBAfLr5KUmfh5ZdByLCpPHjkJudhZSkREwe3wiz2QU+7m5wMuhh0Ong7+kJuVyOd/btFm3WuPpRUKlU+PS9t8S2t/a8AZZlEeLrg+SoSGQmxGPVrBkdltu6mLB5zS3om5ONhNBQDOtbJuaSdwXuXnQViAgpVC7aohwaAgWrQnpsDFKjo5EcEYkl48fZlduymkzgTisX05YD72Y2IyEsHJlx8ZDxPBSkQX47obg4EmoRhvr6IjEsDIU9UnD/dUs6PAV++7FHMaKiL2KDQ9A7KxNP3bLS4e/kUsflRkwdSbwO7HgZdYNqkBAbg36lffD8E49J/v3Xr76AVqtBae+eqOpfgYS4OAyqrkJhXi40Gg3cbTbodTr4eHmCYRgsWbhAtFlvvi6EC7cXijv+yyHERkdBrVKhKC8XSfFxmDR2DL58+6DDSWhHpLRNMXlCxGwkmdPhqfFEkCEElX6151UupiPMiF4EjuHh0y6NoJjGwEq+UHFqBOnDYFN5INY5ya5cTIarcFAQ0U6crYBGQUNGMMTATxcIN5UnnFqVe9sLxeVSHeSkAkc8fHX+8NJ6I9tWiBkdlIuZFbME+e494aH2hqfGF0UepZgTe63Dyd2lDIcR04SEBCQmJv4jzvZ3uTl05wKVUolrF19ll2Pq5+ODxoFVaDkolJ4hktbC+uz9t+1C59As1MhiGQY1PUsc/mwXA/58czdYhkUopZ2WY9oANafF9GFD/3HsjdOn2oX7ltBY5NFwEBFykhLRclBQViYiZFKNpF8qCTuvbe+xG/8d/o0z123HOo/a3r0QGx1llxM6a9oUuLq4iP2yExMkob1obkJcbAxqawbaje1ZXARno9Hhz3axoF9+HkysTWJjSmgsvCkSXlbbGceyxMGTwuzGmsgNCplM7EfEIIiS7WylinRwNhgcvgZXIhxlyy5HYno2PP2wICDZfpOsPel8ZfPTOHn0CFavWA6O43DsyI9in+sWL4RWq5UcFKC5Cevvuh1EhM8Ovunw5zsXUnqhCUqlnxAhlkNDJXYmmcpBRBgdMukfx+plRvCkkBwUlNBYhJEQaTg1cj4Wxq+AnFVASyY7e+dHcWCIcThJuxLhMGL68ssvnxFn+7sSHTqdRoOF8+ZIDNnf//cbPD3cMXFwDVoO7sPhHduF3NTb14h9vvzwPRARNj54v2Tsz999BYZhMLS0j8Of7WLAif17wHO8JIezhIRyLipOjdkjh//j2FvnzAKRtMi9cEoh5FcVpvZAy0FB+IWIJDkJJTQWKVQhGMvTaqN248Lj3zhz3Xas8xjWtxRhISE4efx3iT2aPH4cPFytYr+8lGQUF+RL+iQlJGBA/wo7YpqbnQWzycnhz3axoKq4EE6s1c7Z8qQw+Ll7nHEsx3BwpxC7sUayQimXi/2IGARQgh0xVZAaZqfud+EIOMqWXYnE9NkNj4CI8N7+vRJb9PpLwuHAzq3P4eTRI7h95Y1gWRZHf/hG7HP9tUugUqlw/JdDkrF3rF4FIsLX777t8Oc7GzH9LwjKAL+hreJHtRI7k0ilICKMCf3n+zDKncCTTCwp04ZQEtLYZkQuxML4FVCwSqjJYCeI5EPRYIh1OEm7EtEdyusAfLNtCxoHVsHH3Q2+Hu6YVDsIex96AKP7V8DLZoO/pydmDK+zC1Ed0qc3bK5WfPXR+6Ihu23VShARXr7nLrFfdmICfLy9UVJUCDebDTFRkTDo9YiNjsLvh74XCW3jmHowDIOUqEjYzGYkR0Vi/TWLz1t848T+PVg9dxZig4NhMzmjV0a65L7a/8+zKK0HNHIlFJwMnq6uWH/NYiwcOwYh3t7wMFswqFdPvPfkRruxHz39BBLCwyBjZeBZHuH+/nhm9c2YUDMQHhZXeFpdMWHQQGxevQph/n7gWR4yTobEiHB89PTZQ1775edBw+klO3QhJOTtynmZWGg+KigQz65ehZ7pabCZnBETFASWWGjJCc7kDgWpYSALnEjIj4gLCYXZaEJccIhQ4J782tXgEupyMcTg13bf84n9e7B2/lzEBIfAbDShKDUV2+5ci5UzpyHCPxAWJ2f0yc7Czv/de97f4uEd2zF92FB4u7rBzcWC0f0rsPfh+zFxcA08rTZ4WFwxfmA1vn1hi8N/NxcK3aG854c/39yNm2dNR0xIMNwsFpRmZ+HldXdi+ZRJiAgIgJvFgv4F+dj78P2ScZtabdaD964T7djH7xyAk9GI8QOrxX6r584CwzAY0K8Cvj4+8PH2RmREODiOw97XXpEIHTEMgwBPT3i6uiLAywszhw+zC1HtDHbcezf6ZGXCzdkFMUFBuGX2TFGErD2uaqiHs94AOcfDoNagYUAlHl2xDBmxsbCZnJERG4sNNyy3G3di/x4MLe0DjUIFjuHgYjBi6aQJuHXOLEQGCL/tXhkZeOGO21CanQWlTAGO4eBmNuPeJYvPev8PL18q2B0qEe1YOlWDZ2RQK5VgiAVDLEwGPe6/dgnGD6yGj6sNvjY36NRqMMTCSn5QkhZq0sNK/iAi2Fxc4OrsAj93T8h5HjKS1jZtq/k8YdBAyf3s/N+96JOdBYuTMyL8A7Fy5jRsu+M2FKWmwmw0ISY4BGvnz+1wjc8Ffx3Yi3WLFyI+NAxmowl5ycl4ds0tWDNvNqKDgmE2mtAzPR0vrbvT4b+bC4nuUN7zw8vPPIVehQWwuVoRHxONtTfdgOc2PorC3BzYXK1ITojHvbetxt+/HBbH/N/338Dk5ITKinLx5POPX4+gpLAAHu5uoorudx+8C47jkJudhfjYWNhcXUUtkAVzZokbdEe+/RKBAf7QaDSICA2Fu5sNA8rLcGDHy+f9XD9+/AEmNtTD18MTPu4eGF8/Gt9/+J79829+CkEBAVDwMqjkCqQmJ+OlpzehtmoAPFxtCPEPwMLZM/H7/r12p6V9vauh4/WiuFCwIRxDAusRpA+DltfBVeWOXl4VyHfrCTWnAUsc5KwCMc6JWBC7/IzfwOyYJZCzCrhT8GlCR27gGV60YxzxSHDpgZ6e5XBTu8EgN8CitLbml3pDSyYoSAMzeUNBKrDEwkVhgZbXwyBzAhEhmvJFO5ZJg8CTHCpOLbmf6VEL0cOSCYPMCXqZEUnmNNSHTkaSOQ16mRFGmQk9rFmSPNTOYnToJIQZo6DldTArXVHo0QfDgsYiyCCsp1Xphp6e5VgQd+a1u5ThcGJ6+PBhNDY2IiMj44oIgft++/PwcXeDs8mEiePGonFMPfQ6HRRyOawWM6ZMaMSYUSOg1WgQHRyE3954VRz75dbN8HZzg0qlQmmvnkiMjxPCGfpXSMjkhEEDwTAMQoKDMG/WDPQv7wuGYcAwDAx6PfqX94W/7ymhipSkRCyYMwslhQUgIswdPfK8nm10/35gGAZlvgmYFVeKKBcvcCyLTatO5Q79sW+XkMPEsKgO6IHpMb3hpXUGxzCQczyGBGdgakwveOpdYNBoJaIpXz//HBQyOTji4UUR8KHo1sR1FnJGAW+KhDdFQs4qwRADnuTwoWh4UbigfitT4OvnnzvjM3yyeROsJmfIWBms5AsjaxHXSUNG+FM8XFudNCJCtNkbs+PKUOob307UyIwASoCZvE4l2rNuQhvreUpMidRwJX8xIb+6uEhyL+Oqq0BEcGX84E8JMHLCvTDEwMb4w5/iYeCcwXP8eYmm/Pr6DoT7+UPOKuBJ4fChaChZNTiWh5xViuup5FTwcrXhh+3bHP77uRDoCmfuSrNjLQeF03+WZdG/vC/mzZqB8NAQcBwHnudRU1WJOTOmISggAEqFAq+uXyeOO7F/D6qLi0BESE1JRu+SYsjlcgT7+ki+sXef2ACZTAadVovGMfWYOG4sDAaDKJJUkJuDrIx0MAwDjuNgtZgxdeJ41I8cDo1GjdiQEPz+xmudfq7Na24Bz3GIcPbErLhSlPslgmEYDOtbJuk3rK9QsiDR4oc5cWXI8wgXf9uZ7qGYE1eGLPdQEBFumDZFMjY+TGi3kDf8KQF6chHHuoq/7VNtNgqAP8VBTQYQMbh51vQzPsOfb+5GaXa2YHsYN5jJu9WJY8CRrNV+RoFvFf7QypUYG1GAMeH5UPOC8IeMlPChaHhSOFgShJSUjBq+FNOq8CvMxxALC/lAT2ZBkESrxZ9v7hbvZevta8BzPAycM/wpHjbGv9WOEYysBf6UAFfGD0SEcdXnl8owY3idIF7C+CCAEuDEWtutpx/8KR5GzgyWZfHkqpsc/tu5UHCULbuUiemTD/wPLMsiJioK82fPRN8+vcVvJykhHgvmzELPokIQEWZPmSwZ+/C6u8BxHLw8PVFZUQ6bqyvkcjmeeeQhST9Xq/A9lvbuhfmzZyIyPAxM6zVCg4NRUVYKjUYNjuPAcRwGVQ/A7OlTERjgD5VKhTe2be30cx35/BME+PjASaVFQ0QBxkYUwKTSwc/LC4c+/UhCSmUsB7NSh4lRxRgRmg05y4NjWHjqXTAluieGBmdCycvhzniggSaK76jYo6zVNzIIv+1WoTQigo5M8Kd4WMmvnW/kAn9KEEUl3dSeZ/0O+vpUg4igJj1cyR8KUovzmckH/pQAHZ0Slezb6n8GG2ytbYxoP1WkF+/PnYLhR7FQklYcayBLO1vJYmhQg3gfM6OvhklhhpJOqXcAACAASURBVIwU8KIIeFMUZKQQiDYp4U1R8KIIyEgBk8KMmdFXd/qbHx48DhzDt/qacbBRoPgMbevZ5n/GOCc6nEBetsS0T58+WLp0KQIDA/HUU0+hV69emDdv3lnHXaoO3awRw6DTaiWnnrU11XBycsKPX34mEfTgOA63zJ4pGf/Tyy9g8bgG5KckoyI/FxtvvF5CSk/s3wOtWo301B6S/IU719wCIoKvjzecTSb4+nhDpVKhqn8/SUjd/NkzIZPJOn1C9s7jGwQHLG2wKK/dNGod8jwiJCUQrpkwDkTScgL35NSDiLC1zyyx7adha+FnsKJ/Qb54jdLsLDDEIKNdGGwODQXfqh7Z1pZFg8ESB1+KkZwWEDEoz8s967N8v/15LBgzGrlJSehXkA+WWBjJKgkJaasdOieuDM3163F0xJ1gW08Z2oeEBFKSXSiKL0WDYznotVrwHA8nvR43zZgmuYcPNj0OIkJIu3zXNgGS9sn8RVQPE2NDdFBQp0+6V86cBpZhkU5VErEmljhk0iCxLZtqIWPl571hcbGjK5y5K82OtdVBvmP1KrsSLY/8b73Y1nz0MOJiopGVEC8Zf2L/Hjy47FqU5WSjoEcKlk6aYHfCWdAjBXK5XFJG66uP3odarYaT0Qiz2QyLxQxfb2+YTE449PWpMloHdu0Ey7K4bd6cTj3XXwf2IsLfH1nuoWgatc6u5MnBjQ+L34yM5VAV0EMs+XJo2FooORnqw/LEtuOj70V9eB60KhWO7nwFLQf34eV1d4KIEEQpkhBYC/lARkrxZKCIxsBEblCSVrQphVQPA5mhU2vO+ix/7NuF+665Gr2zMlGQkgKzkxMYYpFBAyWCSBzJYFbqxGcNNtjAkwK5VNfOflaBiEFwu3tuSz+wmEyQcTyUcjnKcrIlpPSvA3sRFRgEZ8ZNtJ/F1AA5qeBymlBcW2TKR08/2al39uXWzWBZFoGUdJq9J4RSukQ0xcx4ItDTq0tK8lyMcJQtu1SJacvPhxDo74fignyxfuiJ33+B0WhA//K+YhkYNDdh4bw54Hke377/jmSO/TtewsihtcjLykTDiOF4942dkn9/buOjICLctHypOFfLsV9RlJ8HmUwGTw8PODubEBYqKFg/9tCplKvjvxxCTFQU8rIyO/1si+bMgkqmwPsDrxd/2x/W3ACNXIn5M6aJ/YIDA2BW6vDNkFvFfrnu4fDUOkvKwGztI6QrVfrViu9IzipgIIvEN2oTi0xuJ7wWRhl2KUxBlAwiwsjg8Wf9FkaFTESscxJ8tQHw0wnl+9qnXBXTGJFQ/jbyTjTXr8eK1rI1MVQg9iuk0dCRC3TkLBFEUpMBak4DjnhwxMFFYbYrd5Pn3rPVNzqlD9J26NHev8ukGrDEId+9V6e/eS+NUAqnrYxWMTVASTo4kU2yxm2RKV1RkudihMOJaXR0NAAgMjISAPDnn38iNzf3rOMuVYcuITzMTrwjMMAfjWPq7fKm8nKy0Sc7s1PztxHEh9bfI5nrr6ajUKlUKCkqAJqbsG/nDiEPYvs2Sb9DX38OIsIDS6/p1HVvmjENco7HryPvkhQkfqRQKIvwxZZn0HJQOCmwqY2i49Zcvx7DQ7IQ6uQmGddcvx5XJVZA384BczYYYCavDvOmTk9edyV/GMlV0uZCnnDppEBKmwPevu5VmyHkSAY/vQXN9evxQL5AuJOoTNIvn0bYjc8mIaH/iZU3/ON1b50zCwyxkjp/QZQCjmRiTdQ2RFM+iAg/vfxCp56tZ0Y6XBhPyVxOZIOV/OzW2I0CERcS6vDfz4VAVzhzV5odu27ieGg1GvzVdFS0HXNmTIPFbLbLHV17y80gok6r5DoZ9Cgv62NnF2trBkKv04n/7evjg0mN4+z6ZWdmoG9uTqeu+c22LYL9K2iU2KLfRt4NlUyO5VMmoeXgPty1cAGICK/0XSD2eabXdIG8DrhOMvatKiGs9tk1t6Ll4D4M6dMLRIQCGnVa3pSQf95+4y2WhJPl9qkFEZQDIur05iHP8TCTt91v24NCwBIr3q+cEU5UT+/nTO6wkI/UXrDWM4rn/diabxfdzjnMpEEgIsRTL8lchTQaDLFYPXdWp57rnqsXgoiQTyPa5ZGlt9pPaX5ZHJWAiPDZs087/Dd0IeAoW3apEtPPDr4JIqkw5IFdO0FE2LFti8Se/PL91yAi3Ld2TaeuUdm3DBzHiVUS2vDURiFH9ZVtzwHNTZg5dTLcbK529rOtLv2fh37o1HXTk5JQ4Zdo51dVBfRAcmyc2E/JyzAxqljSxyBXY0FChd3YUKM7Yp2TsDB+BaZEzgcRIZJy7XwjnhQIoMR2v+16sMRJhCULaCSISJzvXOGuFiLRCk+znwkknHTfnj0SzfXr0cMa2LrRJ80djaDs1vGnfKtg6gGO4c54XW+tH6zkK5lLT+YO8/Gt5AsfrX+nnmtu7HWtBw/Z4jy5VNdKrgsl8xdRPTjiUeDe2+Ek8rIkpm0hIgkJCfj555/x999/Iygo6KzjLlWHLi02xk5pMjIivEOlycT4OFQWFnRq/i9aTy3aF2lGcxN+P/Q9eJ5HRVkp0NyEd9/cAyLCc5sel/T79L23hF27G1d06rq3zZsDjmXxfd2a/2fvusOjKrP3+e6900tmJr333itJCOmVlkJNCBBKCqEjSIdIkSqWFbFQVUQURbGioIgoKCi4u666lnXtvQu7wm/f3x935pLLQEIgYSCG53kf4fqVW9855/vOeY+MyDbm1YOI8MULz+HMiWPITIiHSanFL+M3SW0mxBTBR2fB7w1bZH2nx/eFm+msiIa7szPM5zibohMaAidytXNCnclbdsxE7vBspfp5MXjvid0gIkRRtmysIqoHRxwiTKJDvafvTBARkqivrJ3NCW1NLOLuw1lD9XzY2LIIjBgKaEyrHYXe4Ii3M2ijKRuMsQ5/C6Jyp/x+OpMPnMnHnmhZAHonJDj8++kKdIYx92fjsZuvnwmVSiXlrOPUr1iyaAGMBoNUWN6G1cuXQqEQ8J9jHasp6mo2Iz83x44XB/brC5PJSfp3ZEQ4xo4eadcuKSHeLjy+PXzz0n4QEe7MGSfjoq/qNkDBC1KN5wfXiM7mk/1mSW2eHzhPNGgrF8n6vlwplm55YdPdOHPiGJqGDLZzNls7oTlUKx2LtTqhBa1KskRYxTu+62DtZqWggJnslXrdKQg88dL5qjklvCjMrp2RXOFBwa0M0Akw8haMrSy/4Jw/HDoAxhiiKUfql0ej7JxV0QgbAyLCphsWd+i6bOWHWu9aiMYnk923Mjq7m/P5/r0O/4a6Ao7ismvVMf38nb+LC1FbNkm88c6JY+K3/ejDMj6xiUg+tHVzh+YYVT0cjDF899nHsvHu37wRRITjR14BTv2KxfPnwuTkhP/+/L2s3YolLVAqlTj93dcdmrcgOxtFvrF2zmVf/wTkZGRI7TRKFcZG5MjauGucMC2uTHbs94Yt8NW7INU1Ey3Ja3F9/BK7qATRCa0HT3IRyUIaC0bn54E0194dei/89WJocOuIjjJqRgKJ4dYPF0/BqcZtyPOOAk+C3eJUBGWCESfbgQymFCg5VZvzBhvC7WwjE3nYOau2RbwQY0SHrmtB4krRpqRM2X0711kVj48HRxzKfCsc7kR2S8e0trYW33//PW655RaEhoYiJSUFw4YNa7fftWrQ3TJ7Jniex/5nnpSIp7Z6OJRKBQ4f2C8d27Fti0iCa1d1eA5Xa6juFx+9L4WNTGmeAMYYnnviMSlcxdliQUpSEn766jMpcX9IVSWcDAZZbuvF4PP9e6EQBIyPzJNC4D4eeRsiLF7ISU6S2tkMukUpVdKu6b0FE0SDzCsSHloTDAo1crwiYVCqMXH4UKnvBGsx60QqkT7QXlQBRkwWymtbOWsdyptgNfpCfH1h1OrgbrZgUvUw7LtnA/pn94FOrYGb2YIZo0bi2TvXoyQzA3qNBr5u7uA5HmrSI49GSQZZAMWDiLA+e4y4ozJuIwTGw0guUl2/EmqEJ4WAESf1LaYGuLMAWIymNneQvnpxH5SCGKJs2yG1lZQJoDgpBC6PRkPPmRDs4wMvFzdoVRoU9OqFl84jOnUubAIprZ1mW93V1rsZqTQAHOMko7y7oTOMuT8bj3289ynwPI8pzROkELiXnnsGRIQFc66XQuD+9e7f4eXpiaElHVtgO3NCzGFljMkMxP3PPAmO45Cd1Vs6NnzIIKiUSrx28EU7o+/Rm9d2eN6CtDSEmj3xr5G34lTjNvxWvwWN0QUQeF7KUf/jzdehUSiR5hYshbt9N/YuaHklIkxeiLH4QCeoEGPxQZTFG17OLpJj/uFTT4ARgxeFScZRAY2FgZyhJK30bedTHbRkhIYM0qp/Lo2EinTQa7TwdnGFXqNBWe/e2HvXHZhaWwNXkwU6tQYDc3Ow75470TxsCFxNJjjp9HA1m62LZ2cFkdKoHEQMfnpnyQCNc/YDIw7pVNWKP4tk4XOlNEEKJ3tmw4UX2M6cOIbijAzoeZPkiJdSk3gNZEa+deGthJrgQxEQeB7xoWHQqNQI9fPHbXOub1cQ6YdDB6BVa+BFodL9zKZqEDH4UpTEn/lUByPnjKzERId/P10FR3HZteqY/u/H75CVno7oqEgpFeCPX36Ai7MzkhISJCXd//78PYYOroLBoMcvn37cofHfPvIqOI7D+DGjpQiTbz75CBHhYdBoNBJ/7n9a3FRYPH+utGv60Tt/g5enJ2oGD+rwdd11yzowxvB42XWyqA6Ocbh9zWqpXe/0dKh4BQ5VtchCeTWCUrTDFGp4aE3I8RLz4seENUvPSC8YoSadtChUShMQaLUhMmiQ9G37UjSImBTKW0KN8KJQEDF4aDyg4pRw13ign28VBvoPhZvaAwqmhLvaCxX+w1DmUwF3jTtUnBJuajcQMXhTeCv+HAM9WcCIw2/1W2QpYsGULONPJWlhIGfpWDbVQEWadnduy/2HWm2js5sPfhQDIiaLlEuiviAieGt9RcVfXodU10zMimtp952PMsVBQ3rZ/dSQERoyyvjTn2LBiMMMa8mb7gaHO6at/xw6dAhPPPEEzpw5027ba9Wg+/31V1GQLsbWp6UkIzkxAUQEQRBAREjvlYbYaFFEw6jXdXhV/MyJY3hmw+1QKBRQKpXIy82Bl6eYBK5QKKDValBUkAcvTw8wxqBVq2HQ61FcmA83V1cIgoCda1Ze0rVtWDAPjDF4GyzI94mGRqGEq8mEvz7ykNTmv2+8Bie9mGweYHBFH88IMCLwjINWUGJSbDFuSB2MYKM7BI7Dc3dtkPqefP1VeLuKAhsGcoYTnRUDIiI4kSucrAIctgR3E7nDQBapXZCTGxanVmFaXBn0SjUY42DkLAijXmIyOxOVd2OcfbG011A0RhVAwfGSyIeFvKEmnXUOgooXkOcdBQ+tkzQHRwKcyQcKUoOIwHM8VLwarswXal4LhSBclADHPS0LwRiDjjfAhflCwSmgUYlj6nkjXJgPeCZAKSjBMx5+FI0wSoeJc4XAC9h3z51tjv/Hm69jSLG4ymjiXWHhxPfEpDeAiGDm3CURkfy0tA6HYl4r6Gwlyz8Dj505Ie6aEhH8fH1QkJsDlUol8ViAvz9ys/tAEAQIgoD7V3QsNeDMiWP45fAheLiIAkAJcXFIThINHpVSCSJCr9QUJCWIC0TOJhMYY+idkY64GJE/R/QruySV17/v3gV3swVqQYl8n2j4GERhjXPz/YeWFINjDDpBhXzvaJhVZ3mhn38CVmZUo5+/yO+jBvSX9W0YIuaLK0kDZ/IBR7zEY2rSneeYHhbylgSMVLwCTdGFWJI2BFEWH3DEQcGJYm9h1AsGzgyOcTAo1Zge3xeLUqrgpz8rEHI+/kx2DUSii7/sWGv+VPDis3VmXnDixbHGVVa0m6/5zuOPws3sDJ4JcGE+0PNGEBG0KjUUnAIuzBc63iCdmyvzRQRlwouJwh/nKvyeD9tXLgfPcdDyOitXKqFSiiJONv4UOAUsRieZoF53g6O4rLMd00lsBjarF10Rx/StQwfh4uwMrVaLwvw8eHt5ib/bPAedTjzm6uIMxhhKCgouaY5R1WLOs7ubG/LzcqBuxZX+fn4oyMuFSqWCwWobBQcFIi8nGwqFAoH+/pdUPua/33yJskIxzSfJPQjJ7uJOY3FeHv7z9RdSu5ee2gOBcWBE6OUeggizeP0cYwg2uuOG1MGYFFsMraCEQWHA/IQV0nOqC5tg5SmbbXRWSIgjHs7kI7OXbLaRTfCRiFDsG4eVGdWoCEyRjrlTICIoE24UIB0bFJSGlRnVyPeOkY6djz+9dWbkekVCyQlSOw3pYSEvyY4jEsUsRU5lsChdMDNucZvv5MKkVQhzipJsTROJtpGa00pcabM/OeKhIQNCKBWBlAglqWFRubb7fUyLmQejwgSOODiTN7QkcqWSU4G33jsNiVzZXXdLrxrH9LPPPsOOHTvw4IMP4rPPPruoPteyQXfq6BHcv2IZhpUWo7qsFAW90uDu5or1t9yEoYOqUFs9HBtuuxmCINipOV4s3n7sEZT0zoCXmyuigoOw6YbF+Gzfs2hpbkJlQR4mVQ/Dmw/twMd7n8L8hvGoLMjD1Noa/O3Rhy/r2o4+eD+ahw1BZUEelkycIIXw2mArFdEQlY9QJw94ac2SMdQ6X+uHcfcgwuKFgTnyHNuTr7+KmaNHIsDLC74e7kiICIdeocJtWaMxNCQdQ0PScWvWKKgYj2izD3z0FvjrXRBkdIOX1oRvWiXzZ3lEQEcmWa6BTdBjU16D1M4Wpuvt5ga1SgmTQQ8nnQ5FvrFYlFKF8sAUNEYXYG6SWFsrKSoSXq6uSAgPwyM3r8WHTz+B2WPHoLIgDzNGjcQ7jz960ffzjZ0PYOLwoagsyENLcxM+378Xh+/fhsYhg1BVmC8pg6a02uEsoUaYOXekx8a1O/4fb76OR29eixH9yjCkuAibl7Tg51cPYseqFRheWoJhpcXYvnI5Th3tWBjmtYTOMub+bDx25sQxHNl+L5qGDEZVYT7GVorv4urlS1E/tg6DKsqx+salSEtJRnp8++/i+XDy9VcxrbYG/p6e8PPwQPOwIfj+5QO478az/LlzzUr8/OpBbGxZhCHFRajt3xe7b113yaVHzpw4hi9feB7LJk9EZUEeJgwdgtceuE/2/389cghmgwH9/ROQ6REGT60JsRZfKDjeLgRuenxfaFQqfHvOIuNDa1cjPiwMXq6uSLKq9C5IrkBjVAHKA1PQkjoIuV6RcFJqEW7ytHKlaKg92/+sUNydOWIeeyYNloXTaciIPO9oWTiyh9YJvu5u0KrV0KhV8PP0gF4Q+XNIcC8MDUnHbVmjoeYFJESEw8fdHQHeXpgztg4/vHwAGxbMw+CiQowa0B9P3H7rRYsIfX1gH26cOglVhfloHDIIh+/fhs/375V+j5qGDIZBq4c3RchywsIoHRxjkkZBW3hr105MqalGZUEeFjTU4997n27396i7wVFc1hWO6ZVwSm348r1/YMn8uaga0B9NY8fAbDZjcGU5Fs6djarygZg2aSKumzoZHMfh47+euKQ5dmy6B7FRUfDy8EB+Tjb++spBHNn3HBrH1GHQwAFY2bII3374Txx8+kmMG1WLQQMH4KblS/Hjxx9d8nX98e1XeHDzRlQPqsLwqko8sPFuqYyN5DQPHwZvvQXDQzLgo7MgwOCKAIMrgo3u+H7s3RJ/HKwU8+qrAmpkz2py9ByEGiNhUBjhonKDQTAg3zsaLamDRNsoqgDzk8TfhiSXAHhqTYi2+EDJCaiPypPG/3z0evCMRxAlysJWAygeCibgq7oNkqBcXUQ2FEwBDa+FwAToFaKztjClCg1R+SgPTMENaYOR7RkBg2CAs8oVBoURYU5RmBI9F6PDmpDonIYoUxzKfCsw9yLf20VJqzEkaCRiLYmIMSegKrAG8xJvRFVgDWLMCYi1JCJAHwIV6WQ5732oGow4lPqWtzvH7PglKPbpj0hTLJJd0jE2fBJmxd+AAu++iDTFIsU1A/URUzv8TV1LcLhjumPHDri4uKCiogIVFRVwdXXFzp072+13rRt0rRHi54epE5vtcqSKC/PRL7uPw8+vMzFt5Aj4O7nKxI/qIrIRY/Gxy4VYkjYYBo22zfHSoqNRHZpp13doSDp6uYdI//bUmjArob+sjYZXypQxpVwqZpHlXJxs2CrKpo8aiTMnxJIyRIRHS6fbCaQoeQG3zJ7Z5ffRhlljRkPHG+wS/G1hdiePHnb4M7/a0RnGXA+PHcPssWPOK95hUwT/7bVXHH6OnYVX7tsKIpKFvz1hXcD62/BVMl74+/DVICI8uf62C463esY0aBRKmRJwa/G4D2pvxqnGbZgYU4xAg6uszciwLLsc+zISFcENCo2s7dS4Uvi7e0jzJkdEojYsy44/BwWloXd8/BW7n689cJ8YMdQqfLh1jtW9y5c6/JlfC3AUl13rjmlrvPHSC+K3vf85GY/9/PXnICJs29Ax8aOrHb4enpgR31f2/RuVGrSkDrLjhRiLX5shr9NjF4CI8HCrqgunGrfhl/GboOYVWJVRjVON27C/fD6ICIcHLZHa7C6bASJCTquKADanjojwVL/r7Zzk8RFT0JK8FoXe/aATVFIYrw3biyaBiHBd3KIr5lSZFBYEUPx58k59EO4U5XCn71qAwx3T8PBwfPTRR9K///WvfyE8PLzdft3JoEuICEf10MF2jmlCXGyHxTuudixoqIdZrcNP4zfiZMNW/Fa/BRNjiuGpNeG3+i3SsVON2zApthiezs44ffyorARBa+SnpqLQN8aOQHO8IlHgE41f6zfh1/pNCHXyQF1EtpQzdrJhK5xVRolASqkJpTQBpdQENWkxObYEP4/bhN/rt+DHcffApNZhUVMD/vvGa/h8/14QEe46RyDl45G3gTGGjS2LznuuF7qGy8ENE5ug5FSyXV+bUapSKPGfY0cued4/3nz9snadrhV0hjHXw2PHsHRSMwx6PU7+8I2Mx5bfsAgqpbLD4kdXM96yKmruLpshccoL5aJRtr98vnTsVOM26fiBLRsv+C3esWAueI7DZ6PXyzjl9j51YMTw2ajb8fO4TZidOABmlQ4/j98kcWVTdCE01pIyNg4ro2b4Uyw8NGb8Xr8Fv9aLYnMjwnojOjBI+rZzkpNQ4hdnx5/Z3pEoycw477n+943XOr3cytuP7RJ3VFrlv9ryv4jEXOFL5bG2fj+6GxzFZd3JMX3v2Gvit73zARmPvf/3EyAiPHLfNoc7k52JyJBQjLQuTtlsI0+tCRNjimXHfqvfAk+tGb3csrAoaTUWJ62xe27Xx98AIsIdVu0NGz4Z9RdwjGF99hj8PG4TDleJ7Z7oO1Oa4/kBc2WLUzYe60UVIn9WLMTP40Qee6R0OogIzZEzsShpNfr6VkLgeDvxzVuyRoERw5wE+5qii5PWYFHS6k53qtzUHvCiUBmPldIEGMkZsZakC967i8Hl9L2W4HDHtHfv3hd17Nw/3cmgWzltChQKBZ578nHg1K/438lfpBIL3a0YuK2cTbyzP/SCmC8ZbBRj9RNdAqATxILviS4BUPMKRAYFQaVQgmMcCnr1wpHt98rGs+Vhbi+ahJMNW3GyYSvuK2wW8wp4JZg1X0rNKyAwDokuAWKOFqeAm9oIRpxU3J4nQSoSr+aUUq6Vs1rMm4gOEnM0LAYj/D09EWxyx7s1N0mhx8NCMuxC9k4fP4rb581BiI8PiAh+7u5YNX1qpzl87zz+KBhjCKB4SQggi4ZDxWkQ6ucHrVrM5eidkCCpgraHd/fsRmV+PgReAM/xGJibg7/v3uXwd6er0BnGXA+PHcN7TzwGxhimTmyWaii//eZRuLm6orZ/X4efX2fCVu/UV+8Mf73IGe4aExQcDz+9s5TPKf5/F5j0eng6izwT5O2DDQvmyZy7L194HiqFAiPCeuPHcWIdvneq18JHZ4GKEyAwzsppChARElz8oRNUMv40kit4EqS/izymgC3f3qjQgGccYkKCoRQU4DkOsaEhYIxhR9FkiT+3FjSBiLB12Q2ya37lvq0oSEsDYwwalQqjBvbvcMmatu5nfGgYTJyrpLZZRPVwJT9oVGr4uYv57z5u7lhz3bSL4s/fX38Vc8aNgcXoZOXvYOxYtcLh705XwlFc1p0c0//74VukJCYgNiZaEpD89dsvMaBvGcwmE377/BOHO5OdiSXz50LB80h0CQBntY3cNU5QMF6yl3SCCknWNAI3tYeU95jqmonZ8XKnL9QYDn+DK96tWYtTjWKN9+rQTHCMWfmIIDAOCsbDR2eBn5U/PTRibqWaDFKuqsb6d0YEnngQERRMgEmphZ7XQy+I7VzVruAZh5FhfaSShW8PXw0fnbPdLuXs+CVIccmAihf5018fiNFhTZ3mVNnqnabSAMkpjaJs8TdC7QkiBoEpkOCc2m5eqw1Dg0bDXe1l/Q3Qord7HuYnrui0c77a4HDHtKWlBUuXLsWXX36JL774AsuWLcOaNWvw+++/4/fff79gv+5k0P322isotAoiRUdGINBfzLlsGFzV7QqB/+fYEfi4uYMnBYIpCdGUDSdrErlOUGF+cgVu7j0SMWZf0aFkWoRSGiIpC06cC9RKFd58aIdsvEEFYgmAULMnQs2e1uRzhmCjG1Zn1GBJ2hBYVDoQMejJjEjKQiilgSel1YhzQRRlI4RSIJAomOFE7oimbARRktXYY8j2isDtfeowLa4MakEJrVIFgeOR7B4Es1oHgedx/4plsuttaRaNvGEhGdiQMxajw8XSLhcj6HGxuGnmDCth6WDmRUETlUIJFadBMKUgirJh5twh8AIOtKPW+8lzz8DZyQQ974RwykAEZcLAm2A2GPHRM+3neV2L6AxjrofHRNgEkdzdXJGcmADGGCICAzvNgbmaMLlGFDTxnDaU6wAAIABJREFUoGDEUC58SRTGICLUhGZiQ85Y1IRmSsd8KBIxlAtPFgIiwvIpk2TjbV12A3iOg7PGgGT3IPAcBwXHQ8kJmBHfF3/pU4dMjzAwYlb+TEYUZcNIrmDEIJASIZSKKOoDA4mOsUAqiT91ZAYRg0Wlx9JeQ7EqoxohJg8orSIsYWZPhJhFo3NYSbFsl/H1HfdDrVQi3sUf63rXYmFKJdy0Tgjz9cNPrx7slPv5xs4HYDY4gWc8LLwHlJwKnNUh96IwxFAuvCkCjBhmjKptd7zyvFzwTIA/xSKGcuHGxN/VzUtaHP7udBUcxWXdyTH934+iIJKriwuUSiXSUpJhNBqhUqmwZ8d2hzuSnY0j+54DxziZbaQgtVjexeyDm3uPxPzkCmkhzEweiKZsBFMSFKSCl9YXC5NWSc9uSsxcmJQm8IxDoksgTEqdJEzU3z8Rd2SPQWNUAZiVFz0oBDGUCx+KkLjSi8IRQ7lW5V7xmC9FIYZy4UFB0rGm6ELckT0Gff0SpI0Es0qPBJcA8IyDRWXBtJh50rktSFwJb60PnJRazEkaiFuzRiHVLRg841AXNqFT3t35iSsQqBc53kAWScBI3ARxRRT1QQilQkUaOKtcMS9heZvjDQoU6z67kC9iKBcBFA+eBIQaI7rt7qnDHVPG2AXBcdwF+3U3g+6/b7yGR9atxfiqSjQPG4L9G+/qdk7pmRPHsGvdGhARelFlqzCHJpjIHTEWXykEY1V6NRgxZLfKNyimBhh4E4aWFMvG/OPN1/Hk+tvQMLgKjUMGwdvNDW5qo0zoqNQ3HhoyyEJezeQJPVlk9ax6kygJHkt5spI0RISZCf2k8WyhJBOHD0Nd+QDMGTcG7+7ZLTuv718+AJ1ag+nn5G8sSRsMgefx6fOdZ6y/+dAOTB9VizEVAzGuSjzfTBoiE0QycW7IS01tc5zrx9ZBxamkMg62UhZqXtOpzvTVhM4w5np47CyOP/wgZowaibryAbh78QL8cviQw8+ps/Hz4Zeh12jhT7HnqZHH8F7NOpxq3IZ/jlgHRkxWm04U9IiDXqO1c+r+8fgjmD12DOrKB2BArrjKvsca7naqcRvut0aDtM7FtOWT20oxiFzZKKlO2o4VUT3UpIe3ziITRHLTGtG3T5bEn0/fcbvdb09lfh7CzJ7Sbu6pxm14a9hK8ByH2+fN6bT7+vWBfVg9YxpGDxyAWXWjoFIoEURJdmkKAi+0WYv09R33i5E5VCgLp/OkEHi7unXb0F5HcVl3c0z/9+N3+O6j97F22RLU1VRj0exZ+Ndbxx1+Tl2B4VVVMPAmFLeqj55NI8CIYUX6cOl7j7X4wYncpRBbUSyyEkSEoUGj7RyLvr6VSHBORYZbNnjipFSqU43b8M2YO6HkBFkuZj6NASOGEEqVfe/BlAxGnKwmsVguheHTUX+RxqwJzYRO0CHTPRcJzqno51dlJ2pkc/Jerlws9fu1fjOSXAIRZAjuNMdqYdIqDAsajSSXXkh1zYSvLgB6sshqqmaRuLDZ32/wBcdZlLQaJqUz3ClQpiNiq3k9LnySw53IbumYXuqf7mjQ/RkwtbYGBsFklxgebQ11sOVlVQalwkJedu2CKAluZuc259AqVZgQUyRzBl3VTgimZNlY5xaBtkFPFlld1DJqhpr0SHIJkAkiWTR6tDQ3XfA89m+8C0SEN4Ysl53Lh7WiMvGudWu65B43DK6CiXexu64IyoRSULTZNz02Dp7n5EeUUTO8KQLxYeEOf3+6Ap1dYqGHx7o/Dt27xW7xx7aIQ0TYVjABpxq3SWkFBa0WelovgB3cuumCc2QlJcKi0suE4ppjiqBnTud8m+Ewnkf8KIx6QSCl7FggJUIgXsZH4yPzEBMU3Ob1ujqZMD+5wi4XNcMzrMt0EPbedQeICH2oWnYNuTRSzAG8dd0F+66bdR14Jkg1TG1IoX4gIrz/1OMOf4e6Ao7isu7omP5Z4OHqbqeEK4r1eKE8MAWnGrfh9waR76Io266djjkh3a3PBZ/l0KBRICI8P3CexBv7BoriR71pqDROsrX+Zw7VnjfP3BYaW0bNyKTBICJsyB4rjfl0v+vFzYLo6y94LqmumQh18rTjsTWZI8AzrsscLTWnQSil2d07E7kjzpJ0wX4zYheKaW5UapezKpAShd79HO5EdlvH9Pjx49i+fTsA4Mcff8QXX3zRbp8eg+7K4z/HjuCbl/Zf1mrz4gmN5xXrCaYk6AW1ZISNiciBlowopQkopnoU0nirERaGcP/A847906sH8dOrB2HU6tDfP1FGPCFGT3hRuGxOFensdjxKqBFKUiOQElrtPtSDJ7FeqW28z0evb1eB942dD9jteJxq3IaXKkRFuefbqTN6qZg1ZjQ0vFa2E2zbpXFxMrfZt6x3bzhz9gsCLpwPclNSHP4OdgU6y5jr4bFrA6ePH8V3B1+8LJXgv+8+v1iPzeG0ffM2pd5MGoISakIBjUUpTZCKsLeu8WzDyaOH8e3BF9Avuw+UnICvW0V+zEsqh4KUMv70pzioSCvbySijZvhSNNRkkB3zpBCoOaWMj0r94pGVkNDm9Yb6+GJ0eLas3+8NW+BndEHTkMFd8pxsSr2tDdLWuzQvbr7ngn03L2kBI4Y8GnXOAmgOGGP4+sA+h7+HXQFHcVmPY+oY/P7Fp/jp3/+6rDEiQ8PgRWF2jo+OjNI3f7JhK/SCGkGUhFKagEIah2JqRDE1QEEq5HoW2z3DxUlrMDt+CUaHTQARYUt+k8Qdx4YsBxEhmfrafdeto+nKqBlpJJbhy6BBrXYMS+1sq7tzx4OobQXePh4FMKv0Uh6qDVPjSqEXdF3maJkUFvhS1Dn3uAka0iPNtXebDhojDpGUJeubT6IoXlu7rdcyHO6YbtiwAXFxcQgKCgIAfPDBB8jLy2u3X49Bd+Vw6ugRzKsfB4tBjJV3N1tw49RJlyTg8+6e3eAYgx9FS8ZVOlWCJwXinf0ltd5V6aJEuC0vSvy7CUQMN06dJBvz2IPbkZdytjizh0XMr7q3oFlSkyvxiwMjhiTqi1KaIIa2koc1SX2g1QFtRCAlWEN5C6zHGqTcsfV9RKW5b8feheGhGVAKijbDyU4fP4rYkBDEufjhnyPWScq96R6h8Pfw6LJwshO7HgQRIYDipXucRuVQcEpcN3pkm30fWHWjmOtMOZLKZyzliT8sS7tnblZnGHM9PHZtYPctNyEmOBhEBIUgYHhZSZvf8IVw+vhRJIRHwMAs0gp/PtXBTJ5QMAHvWIU/3q25CQLxUJEOgjWnXUkaKEiNuJBQWcjsT68eRNOQwdCqRFE4H1dRFKQ2LAvfWesJPmAtf+BPsdK3HUO5ICIEUSJKqBGlNAEp1F8qel9iVRwXjTmGKLO3pLS5Ob8RjDHcuXB+m9d7w8QmKHkBj5ZOx8mGrfh5/CbMtdYmPHTvli55VqePH0VEQCBMnCtyrQ5mPtXBwnnA38OrTf78/uUD0Ko1cGeBUj3BLBoOHW9A36wsh7+HXQVHcVmPY3pl8dFbb6K8bxk4TszBTk1IwP49uy9prJUti8AxHklUJtlGoZQGIsKK9OE42bAVP43fiAQXf3DEQdMqZ1JLorDY5Og5suc30H8ILCqLqHfBKSEwAX56Z6mU1mejbodB0EBHJuTSSJRRM/JotCRAmUejrcdGwUAu4EmBPKsoWg7VQktO4OmsCu9bw1bCT++CYGNYm+/VxKhZYMQwMaZYSkt4bsBcaAUV0t2yu8zRyvEsAkc8Uqi/dI+DKRlEhHpryZsLIdIUCzXppN3lQhoPDwqGwBS4Pv4GhzuR3dIxTUhIwMmTJ5GQkCAdi46Obrdfj0F35TC2shwKXsCUuFJsL5qE+qg8MMYwe+yYDo918uhheFkNLgUpoWNGq0MpOp8GhRo+OouUyK4mHSIpC7GUDycShX1GD+wvjffPJx+Dk06PaGcfrM8eg/XZYxBl8YbAiQpu7honq/ARwagV/6sXnKDmtZIjSySqv9kMRxvUpJdULm0iHCFmD+iV6vMKHZ0Pxx9+EO5mC3iOQ7jFCwpegEmv7zJjzoabZs4AYwwqXg2DIP54ZMYntCtUcvr4UYyvElcutbwOOl5UvRvZv1+3LR3TGcZcD49d/XhyvVjOqcAnBpvzG7G81zC4aZ0QFRiI319/tcPjNQ0ZbBX1YDAwUVFSFCZi4BmHIKMbeCtvMGIIpHgkUIm00KXTaKSxTh8/ivzUVBiUGsxPrsC9Bc0YFJwmcZFWUMLfIKr6KgXBqiyugkEwgYjAW/lOIJWkaGnjVIGUUJGc79x1TvAyiDw7vKyk3UWy3157BcUZ6SAi+Bld4KwRC9q3lcrQGTj24HY4O5nAMQ5OggU842HSG/DqfVvb7bv7lpugUiih4BRwEsRrDfL2wb+e7Z4ibmdOOI7LusIxPfPO3x3uAF6N+OHjD+Hn5Q1fowvWZo7Axrx6pHuEQiEIOPz83g6P98repyX7Rsv0UJHayllW0TadBUaFRuIOZ/JBPBUinDKgILGKwnXRC6Rn199vEIgIg4PScF9hM+YllUMrqCRl8UCjK5ScAEaisi8jBj0zgyMeHPFgxMCIg45M1r+zVo6wUeJTRgQ1r0Sw0QOMGCwqC6a2Ejq6EMp8K8CIwajUSorq/voAu3zUzsT8xBUINIhCTloyQmm9x/leZe32nRG7EM4q0fbVMxMEUoBnPIYGjXK4A9ltHdO0tDQAkJFgfHx8u/16DLorgw+ffgKMMazNHCELfZiTNBAapQrfHXyxQ+PZduR2Fk/BwpRKTI4twY6iycj2ikSojy/6JCUhKTICWrUajDhpNc0WZqslJ3CMk8abVD0MrlqjLNztq7oNcNEa0Cc5CclRUUiPi8PWZUvwx5uv4+k7bsf0UbWYVz8OyZFRMDN3JFEZAigeIZSCZGsOkjP5wEgusJA3oqgPiAhTaoZjyohqLJ3U3CGF2h8OHcD6+XMwpaYat8yeiW9e2n9Fnt3bj+3CwsZ6TBs5ArtvXXfRO7Snjx/FoXu3YNaY0ZhZNwoHt27qlkJcrZ/P5RpzPTx29SM9NhZZXuH4veFsEfbXBi8VoyuWL+3wO6NTazA5tgTrs8dgUmwx1mSOwI29xFDevllZSIgIR1x42Hlzs4IoEUQMh7aJC1Qvbr4HRIRdJdNkPDs8JAPuZgvy01KREBGOKTXV+OXwIby7ZzcWT2jE1Noa1A+qAiOGFOqPYEpBAMUjicqgJwu0ZIKJPGAkV4RSL+iYE/JTU3H92DpcN3okXtx8z0V/2zaRORt/ntj14BV5bj8cOoDb54n8eeucWbJyXO3hk+eewYqpkzFlRDW2LrvhssK3rwU4isu6wjHt2TU9P25avhQKXpBK1Z1q3IZfxm9ClLMPBpSWdni8qgH9EWbyxGNl12FqXClmJw7AE31nQcF4BBpC4Knxhr8+SHT+yEsmwpNJQ0AklpBpSRZFf5yUTqgJzZTx2EMlU8WFfWMEPDReCHOKxISomZibsAz9/Qahl1sf5HmVSOJHUdQH/hSHKGtlBCKCC/nBQC7wojD4UhQUTIk8z1Kku/VBuf+wDpVPmRw9G7mexUh3y8bw4LouqWd6LhYlrcaIkHHIcMtGtmchmqNmXnTfBYkrURVYg3S3Pijw7ovpsQu67DyvBjjcMe3Xrx/ee+89JCYmAgDuvfde9O/fv91+PQbdlcFDa1eBiPBJK/WzU43b8IY1R+Bia2PaMLW2BiFmD7vk89v71IGI8J9jR3DmxDFwHDuv+JFNoc02XmpUlFQcujVqQjORFh3d5rmoFEo7tcwyaoaBnO3EjwyCCdMvokRBD649dIYx18NjVzdOHz8Kxhhu7j3SjisiLN6YOHxoh8Z7edtmEBGODFoiG+uLOlGwZ/vK5Thz4hjiw8NBRDJFyda5qMPLROGgVdOnQqdQyZzm1urfbe3yjRrQHxbe46LEj4IoEZ7Org5/Hj3oGjiKyzrbMbU5p452Aq9GDKusQB+vCDsem5dUDndnlw6P5+3ugesTB9iNl+sVhUhTrOgoxC+TUnzO5RkNGSEwAS3JazEtZh6ICLvLZtjlo2t4JYp9BlzwedeEiMJxrTcjRPEjUUk3hfrbOcTjIyY73InqQefD4Y7p+++/j9TUVGi1Wvj7+yMyMhIffPBBu/16DLorA5uy7IvlC8+7Ava3Rx++qHG+O/giPnhqD1omNEKvVOPbsXfJxpse3xdmgwFfvvA8PnrmSSgVAtSkk63OlVEzPChY5piWZmYi0zPMjlTTPUPRN6s3Pt771AVzyLxc3OBH0bLxi6kRClLJVOqKaDwUnNKu7mB3x6fPP4tPnnumW++WnjnROcZcD49d/XA1mTA5tkTGE9+PvRtOKi0WNTVc1Bgnjx7G+089jmMPbgcR4YGiSbLxXq5cDCLCnttuxvtPPY7izAwQyYU7RPEOUe5/6aRmnDlxDJtuWAzGGD6ovVk23uqMGgg8j3898wQ+eGqPtHDXGtNGjoCW19mJnflQBLRklIsfsWDEhYY5/FlcSfxw6ADef+pxnDpqf++6GxzFZT2O6ZXDhHFj4Wt0kSoYSNEVoRmIDgu7qDH+74dv8enbf8MX776NuMBgVAWl2Qub6V2Q5NIL02LnY0b0Qms6QoKMT4qoHhwJUPMaq0OxFBzjcFPvWtl4trJZA/yHYGrM3POGzY6PmAwiQhqVy+ZIof5iKlIrBfQEKhaj2GLmdNr7drVjYdIqTI2ZhzkJSx1+Ll0NhzumAPB///d/+Mc//oG3334bZ86cuag+PQbdlcF/33gNwd7eSHILxD+q1+BU4za8OfRGhJo9292RPHPiGL544TkMLiwEb03SdzObwXMcakIz8WXdHTjZsBW7y2ZAp1DB39NTymMwaMWcqEBKQDHVo5SaEEcFIGLwdHGRxt+5ZiWICCszqvHz+E34efwmrEgX60P5untI46XHxuHog/fLzm1hYz0ETkAilViV5sZL+V828Z9CGgsvCoPAC906N6k1XrlvK5Ijo6R7lxAWjgNbNjr8vLoKnaVk2cNjVzdmjRkNjUKJR6wCPl/VbcDIsCzwHId/PvlYm33/ePN1LJs8Ec5GMV9bpVDAw+KMICc3HLOWg3q3Zi1S3INg0uuhU4s5RBqlUsxnIldJJCmLhkNDBtkC2w+HDsCo1aHELw4fj7wNpxq34YXyBXDW6OHj5ibxp4ezCzYsmCc7t+MPi2JnfhSDIqpHKU1AAhWLxebJU+LPWMoHI4Zb58xy+LO4Evju4IsY0a8MAi/qBDg7mbB6xrRuvdDmKC7rcUyvHF5/4XnRKYsrxXdj78Zv9VuwOb8RPMdhzdIb2u2/f89uJERHS7/vRjKCI4aNefX4rX4Lvh97N2bEi6rhTkonqR0jBo54JFM/SZnXi8RUhX4+ldJzizbHw0VtlDYzPh55Gwq9YyAwAWpOzFXlmYBE5zTMTVgu9VuctAYuKjcYyVmqX9+HqqEjE3hStOLPYdCSEX66QIc7UFcCi5PWoNS3HDpBzOvniEOMOaHbCh+1JF8ljikAfPjhh7j55pvxxBNPXFT7HoPuyuHog/fD3WwBYwweejOICAEennh3z+42+/3n2BHEh4bBTeuEm3rX4rGyGagNyxIFOTgeKkEBF63BasCp4G90xYacsdhVMg2FPjESIXLEQyCF9O8nb7tZmuP08aOYMkJU8DWqNDAoReLjGAdn5oVEKkEcFcKJc4FRq5c5l7+99gpKe/cGEUHNayBwAjiOQ4ifn3hOvBY8E6AQhIsSOuoOeHfPbmjVGpg5NyRQERKoGBbOA2ql8rylLboDOrP2Xw+PXb345fAhFPbqJeYraQ1QCQooBOGi1KZbmpvAGENTdCH29J2JZb2GQq9UQa8W+cZDbwZjDFqVCjzHY3biADzZbxbmJA0Esxp1RCSJXjBi6JOUKJvjqTv+Ar1GA4Hj4a5zknhRw+sQRX2QQv0kQ3DTDYtlff8ydzZ4joPAKaDmxXOKDAwEEUHBKaHixXmry0q7TA38asLp40eRGR8PFa9GBGUihfrDl0RjfNX0qQ4/v66Co7isxzG9srhp+VJwHAetQgWLVYhscPlA/PebL9vs9+bBF6FSKpHpGYbtRZOwJb8JMWYfCIy3OqJaaHilJHxU5hePXSXTcGfOOFiUerQWVGPEWZ1MXpbfOTNuMby0XiLPqo0QGAfeOr4/xSKF+iOM0iGQEiHGcNkznxB1HfSCKHCkJlGsUsvroeLUsmMmpTOmxsx1uAN1JVDmWwEigg9FIoX6I4J6Q0lqeGt9r0hurCPgMMe0sLAQx48fBwB8/vnnMJvNKC0tRXh4OFauXNlu/x6D7sri58MvY/OSFixoqMf2lcsvSsVy9y03gYhwoEIeBjwkpBd83dxx08wZWNhYj0nDh4FjDO9aSyycatyGltRBUPECdhZNQalvPHK9InFH9hhEW3zQr4+93P+JXQ9i6aRmLJ3UjJLMTBh4kyy0rZDGQsWp7JSETx8/ihc334NFTQ1Yc900fLz3KZw+fhR777oDCxvrsW7Wdfhs37MOv/9XChOHD4WG16GI6luFNzdAyxswrqrC4efXFbgcY66Hx64tnD5+FPvuuROLmhpw08wZ+OS5Z9rt8+uRQzDp9XZhwDuKJkvhuAsa6rH2uungGMOqjGqpzV+HiTn6qzKqUReejSyPcDTHFGFWQj+olUo7IbRvXtqP2+fNwYKGesweW3feMGAPCkagl7fdzt9HzzyJ1TOmYfGERry0ZSNOHz+Kfz75GFZMnYyW5iYcvn+bw+//lcILm+625qX1s6vtajE64eTRww4/x66Ao7isxzG98vjwxBtYvaQFLXNn49XnnsX//fBtu31GDBmCQJO7rI7nV3UbYFRoEGtJQp5XCQq9+8Fb54tebiGynPcIsxfyvaJwY69h6OMZjoEBydheOBFEhMqAatmzW5i0CtXBY5DjWYQSn4FQMKVdGLAtHLchcpqs7/zEFagMqEaOZxGqAmowP3EF5iYsR7n/UOR4FmFwYC0WJK50uPN0JbAwaRX0ghHeFHHe2q4jQxscfo5dAYc5ppGRkdLf16xZg4qKCgDADz/8gNjY2Hb79xh0Vz8WNtbDXedkl/95X2EziEgyyurKByDZPUjWpiIwBXneUXZ95yaVw9Pi3Oa8QV4+CKA4uyR9dwpEYXovh9+XqxlpMbF2xbbFfLXIbpubdjnGXA+PdX+8tWsniAjPD5wn46Lf6reAMYY7FszFmRNiORoiki2w3Vsgcp2t3p4NRweLP7wvtREiP69+HHSCwe5bjKciEBG+f7nnnbkQbpo5AwIT7DQKbPlq7YVuX6twFJf1OKbXBqJCQjEhpsjOrqoMSkWQIUS69ypeheW9hsm4johwe586u77BRg/0cutzwefYFDlDTKeiStm3WEKNICIM8B/icEfoasWM2IUgIiRRX9m9K6UJUJAKhd59HX6OXQGHOaY2xTcAqKysxN13333e/3ehPz0G3aXhp1cP4o2dD7S7C/jtwRfwxs4H8PWBfZc81/r5cyBwvJQz1Vo9TqfW4N09u/HmQzswq24ULBo9fhx3D96pXoujg5dhfFQePLUm/Fq/Wda3PDAFieHhbc7bOyEBrpyv3Yds4M0Y2b/fee/JQ2tXd1hhuC3j4I2dD+CLF55z+PPuKCry8mDm3eyMYQvnidLemQ4/v67A5RhzPTzmGPzx5uv426MP4+3HdrWZM3jq6BGc2PXgZTkiX7zwHDiOw219Rp9Xmfy+G5fhjZ0P4Pm7N0iKlJ+PXo/XBi/FrpJpICLsL58v67utYAKICO89ceHzum3O9eAZj3waY6dMrlNrziuEtG/jnXho7Wr8cvjQZd/j/77xGt7atRP/ePyRay4vc/tK8dnYctVsiKDe4Dm+2zr1juKyHsf00vHp23/DiZdfwm+ff9Jmu4/eehNvHTqI/3z9xSXPlZ+VhVwf+YL/yYatCHPyRIw5Ec1RMzE5eg5c1C6oDeuNX8ZvwtHBy/CP4Wvgojag+Ryn9usxd0LDK1HQhoN0XdwiEBFiKPe8yuTVwWPt+kyOnoPBgSMxNbpzwnWnxy5AU+SMDpWUuRowL2E5eCYgjNJl9y6XRoKIUBEwzOHn2BVwmGOanJyMTz/9FL/99hssFgvee+896f+Fh4e327/HoOsY/vvGa5g9dgw0KmuOE2MYmJuLr16UO56/vfYKxg+qhFIQczoVgoC68oGXZOh8e/AF6DUaFPjE4L2adfi9YQt2Fk+BVqGCp4uLlDNq1uvBiMFZZZCOaa05UeMj8/D56PX4afxGrOtdC8YY1s+f0+a825YvAREhnDJQTA0opHEIoHgxrPicHYpRA/pJ+Q9EBL1Gi923rLuke/yfY0cwfeQIqBRKMc+V4zCkqKjDtV4dCduuTzAloYjqUUT1CKFUEBEeWbfW4efXFbgcY66Hx6489vzlFgR4eknfbLh/APZvvMuu3ZalLfBqxTOpUVF486EdlzRneW4OXDQGPNN/Nk42bMVfh61CkmsgDBoNVAqFNa+dwdnoBINCI+Vs8YwDTwxhTh44NmQ5TjZsxQvlC+BjcEZucnKbc359YB80KjXcmD9yaSRKaQISqQQKTonJ1cNlbR9auxo6tVa6Vp7xGFd56aH3u9atkYnHRQcF4+Vtmx3+7C8Wvx45BIvRBGfOC9k0AqU0ASnUHypeg+GlJQ4/v66Co7isqxzT03tfdLjj2JUOaVFe3lkRIr0ByxbMtwvJffvIq8hITpHaubu44O5bb76kOR/YKIa4L0kbgh/G3YOvx9yJqXGlICLoBJ00h0FhBCMGg0IjHdPwSgiMw9aCJvxWvwUf1d6KgQHJEJiAGbEL23yWYU5RUJEWaVSOUpqAPlQNJ3KDUeGEhUmrpHaz4lvgrHKV5iQiuKjccH38kkt6h6bGzEOgPkQaS81pUOzTH4uT1jjc+bpYJDinQkEqJFMUBOX5AAAgAElEQVRflNIE5FAtnMkbak4jE4/qTnCYY/rII4/Azc0N3t7eGDRokHT8lVdeQUlJSbv9ewy6jmFe/TgwYgiiJKRTFaIpB2pei7ToGNlqeG3/ftAolFjWayheqliEFenDoVOqMaSosMNznjp6BL5ubhAYZyW2swacRa3H1oIm7Bs4HzWhmWDEoCMTEqgEvagCnhQqGlgcB57joLI6yvWDqvDHm6+3Oe/p40cxbeQIyUBjJI6x9rrpsnYzRtWCiOBFYehFFUigYlEBjvF4/6nHO3y902prwDEOIZSCDBqEKMqGilMjNyXF4c+/I7hhYhM4xsAxDhzjwRjD/Ibx19yuycXicoy5Hh67sjiy/V7wHA9X5odUGoBk6gdn5gWVQol/PP6I1G73retARBgS3AvPDZiLB4omIcbZF64mk91i3MVgUvXwszwmKK2iQjx44rAopRIvVSzC2swREBgHjniEUwYyaBDCKQMc8dCoVKLxp1RJjt7He59qd96n77gdBq1oMAqcyIFF6en4+fDLUpt3Hn8EHOOgJzMSqQRpVA5PEo2xuePHdPhaD2zZCI4xuLEApNJAJFFfmDl36NQafPDUHoe/AxeLl7dthsVosj4r8d6lx8bh24MvOPzcugqO4rKucky7667pH99+hfCQUOh4A2IpH+lUCX+KAxHhpuVLpXY/fPwhPFxdEWHxxv2FE/H8gLmoCc0EEeGhrZs7PO/h5/eCMasQGydAYBwYMTAi5HtH45n+s/FQyVQEGETn0JNCkUblSKQSqzquuOCm4hVgxKDilBgWXNfus5wZtxieGh/RJiNRJVsvGOzyS50UJnDEI4IyZfxpVjp3+P2Zn7gCJqUztGREHBUgnSrhZxVA6+83yOHO18U7aUvhrw+S3Ts1r0Fd2ASHn1vXXbMDVXm/+uorHD9+HP/73/+kY59//jn+/e9/t9u3x6C7ePxy+BD0Gi0CW9XmbJ1vYwth/XjvU+AYh3Xn1KC6I3vMJeXlPLRWFP7YN3A+NuU1YFVGNV4oX4ARob3hoXWSEutXZ9SAIw55NFoWeuvC+SAhPBwbFszDulnXXXTNVBve3bMbt8yeidvnzTmvyIlOrYEz+cjykHJpFBgxVOTndWiu718+AJVCiRBKPadeobga+doD9zn8PegIPnrmSdw253rcOmfWNWWMXgouV8myh8euHIaXlsDAm2XCZsVUDw2vw8ThQ6V2WQkJ6OMVgZMNWyUe+3jkbVAJCqycNqVDc/58+GXoNRrMjO+Hp/tdj5UZ1bivsBk7i6eI/Fm+AKcat+G9GtEZjqZsGQdEU7aYizp/LtZcNw1P3H5rh5Rxf3zlJWxZ2oK1103Hy9s22y0Q9e2TBUYc8qlOxp9m8oRBq+vwPR6QmwMn3gWl1CSr5azi1ZhZN8rh70BH8MvhQ7h/xTKsuW4a9t1zZ7ddXLPBUVzWFY5pS3L3Defdvf1eEBEyabCdloO7qxtOf/c1/vfjd7h11QooeAHvj7hZFnpb6BuLlPj4Ds87tKICoUYPvDVsJW7qXYtbs0bhr8NWwazSYWJMsTRHoksgzOQls43yaDQ44tHLrQ9KfAai3H8oZsdffE3NRUmrMTK0AcU+AzA4sNYurLYubMJ5Q36jqI8YPRcxpUPvTlVgDYgIWTRcXsuZQuGkMF9Tu6aLk9ZgTFgzSnwGoiqgBvO66U6pDVdNuZiO/ukx6C4ef9+9C0T2hYtLaQI4xuG2OdfjzIljeGbD7SAiqV6pDR/W3iLmTt3asRDXhY318NCZ7JLl77cquX0+ej1ONW7DqPA+MDH7vMYIyoRGpe6y+0LEEEG97eY1kgvC/P06NNbrO+4Hkb2Cpi3Bf2PLIoe/Bz04PzqzxEIPj3UtIgOC4Ecxdt+sJ4UgK/Fs+RUnnR5Lew21454MzzDU9u/boTlt4kf7BsrzRH9v2AJGDH+xCoI8ViaKfOTSyPPmA+35yy1dck+CfLxhInv+DKcMMGIdHs/fw8tOQbOMmuFGASjppnnm3QWO4rIex7RjuGHeHGgEnd03ZlvI/vr9d/G/H7/DuFG1SDpHGPJU4zasyRwBlVLZ4XkjfPzs8kRPNW5DVVAqcr3O5p5qeRXCKcPu/EzkjgTnlC5xRrI9CkFEyKNRsjlzSIxsy/cq69B4WR750JK9eFwcFYCIur1zdy2jxzH9E+Dbgy9A4AU7J8yWfL77lptw5sQx/O3Rh0FE2F40SUZaj5ROBxHh2IPbOzTvXYsWgGOcbLXvVOM2zEzoB4NCjV/Gb5LEkARSyEqUlFEzvCgUwT6+XXZflLzCToG2iOrBk4CclLbzv87FZ/ueBccYoilHNl46VYGI8Oyd6x3+HvTg/OhxTK8dFGdkwMJ52i2wGXkLavqWSe2ig4IwKDhNxjs/jLsHZrXOrmRUe/j6wD4xFSBzhGy8w4PEXPbdZTNwqnEbjlnFkJKoVHZ+SVZj8/jDD3bJPcmIj4NAChRTg52zrhJUHR4vKyHxPOJxTdDzRtQPqnT4O9CDC6PHMb02sHn9X8CI2S1iBVMydBqdJHDUMnc2DCoNvh17l4x7asIyEeIf0OF5/Zk/0t1D7RbYAgyuqA3LkintelKInW2kIBWyPQu7xBkZHDjSyp9yBdpEKsGFRJLaQl/fSrtIkjJqRgDFQ81rum0N0O6AHsf0T4LqslIITIlEKkEJNSKTBsNAFng4u+DU0bPqjtlJSfDSW/B0v+vxW/0WPDdgLvyMLugVE9PhMKgfDh2AQaNFunsI3hx6I34avxEb8+qh5Hj46i342/BV+GHcPWhJHSQm9VMgcqgWRVSPCOoNRgzrZl3XZfdkYG4OiAgR1BtFVI8cqoUbBYCIcHDLpg6PV5GfBzWvQRL1RQk1IYMGwcg7I9jH909R1P5aRY9jeu3AljsaSIkooLHIpzr4WvOGWgub3TbnejDGcGP6MHw79i68W3MTKoJSoBAEvLtnd4fnHVxYAINCjQeLJ+PX+s04VNWCCJMXFByPR0qm4df6zdhfPh8aXgkV6ZBGA1FKTUijcuh4I9Jj47rsnuzbeKfEn7k00sqfYh7aoKKCDo/3wKobQUQIoRQU0jjk0Wj4UAQYY9dcSsKfDd3RMe2OAki/fPoxnAxGmMgdWTQMJdSIOCoAzwRMaWyQ2v37b29BpVSiX0Ai3qlei+/G3o21mSPAMQ5rly3p0Jyn976Ivtb6l7MS+uOLujvw8cjbMC4yF0SEsZE5+HrMnfig9mYkugRYbaNMyTZyp0DwxGNqTOco5Z6LRYmroeRUUJPOKpLUhFQaCBVpoeY0HR5vdvwSKDkVnMkbfagaxdSAGMoDRzyyPPId7nz14MLocUz/JGgePhSMOJnamcB4hPv7y8SEPnnuGSRFRMjaxYWG4l/PPnlJP5IKnoeSE2TjccQgcLzsWG5qsiTyQSSqBjcNHdyu0NHl4OTrryIyMFB2HowY5tWPu6TxvnlpP7ISEmXjBXn74O3Hdjn8+ffgwuhxTK8dvLRlo1Wsg7XiE1Hc7MSuszuSf7z5OiZVD5OEPogIRq0OD9+0+pLmjQkJBs/k/KnkBDseC/HxQbi/nFNiQ0IvSujocjCrbpTsnhARYkNDz1tSpj2cPn4UCxrqwXNnr1etVPakI1wD6I6OaXfcNf3P11/A28NDUu9ujcWzr5e13bNjO0xGo8w2aqgbLeWhXiwmsRnIJlEFmGvFi+fyGhFByRQIMoTKjqk49UUJHV0OxodPhoIpz+FZJRoipl3SeHVhE6DldbLxYswJWJC40uHOVw8ujB7H9E+An149CJ1ag7lJ5XilqgUbcsbi8bLr8Ey/2SAi7L3rDln708eP4sXN9+DuxQsuSzBiUvUwEBFeG7QED5dMxZ0543BsyHKMj8yDguPxwKobcU/LQklN8+fDL+PB1SuxsWXRFS2Avm/jnagrH4jpI0dcdu3R08eP4pX7tuLuxQvw9B239+yUXgPocUyvHQwuLESkxRsfjrgFm/IasDm/ER/V3gIvvQUNg6vs2n/w1B5sumExdqxagZ9ePXhJc4qicAwLkitwyMqfe/rOxJP9ZoGIMHlENe5evAB777oDf7z5Ok4fP4oXNt2NuxcvwP6Nd10xwZ3P9j2LabU1GFNR3ik1mT957hlsXtKC+1csu6ZKXv2Z0d0c05bk7hnOu3PLJhARXq1qwa6SabgzZxyODl6Gxuj/b+/e43OuGz+Of3Y+m5ltCZnDNsYMl1VUcgghzSHHRMpZjrs7IAxJmJKcopxVd3cK3So6UERRqjul8iOhc6FbqRzu9++P3btyNe6YbZ9d1/f1fDxef9y3q13XNj4Pb9e179VMcWVideL7bzxuf+zQF3p6ySI9PnuW9uzcccH3d3L9Rt3hN1KlgqJVPeZS7e0xU4816avFTQfo8x4zFRcapdiQOLVL7KKOlW92fx+H1RqlzEqd1anKLcX2M5nj6k7T9RUylV6mvlpVaKdxdS/uJbf31n1AXareqhsrddbg1Dutjy766ximDijv4kcb2o7K98bKgf4B7osfFXaNXPVUNjQq3w/ar2x+h4wx+vT5C39JHVFhxzD1nmpVqar+NZvlO1M6V7tSjerVK5L7XPVQjowxejVzTL7z088Yn35fTPKufHWY+trLeSeMvkfxEdH5zrGnWgyRMUbffLa70O4rb5Te4TdSoQHBHlffzatjlcsVHhhufZAQZbsYpiW+H97YqLWPzNQrC+cX6GVZp97PeyuToHxXqdzcfryMMXp03L167uEHC/zm8+fq9vbt5GeMdnfL8bjfobWvV6B/gH5+a4v1r++p93MvbrJm1ky99vgCnuF0YAzTou/3d9/WxkULtWbWzAK9j2heba9tpHrxlT3eBubnvotVOTpeXVu11POzH9aGBfN0fMe2Qnvse9atkZ/J/XnVM8+xTe3Gyhij++4YbP3re+r9d/TbO2/p1cce1ZpZM336vTrp3PnqMC1Jz5ru3r5Nq1cu14dbtxT4YyybP1fGGO3qOs3jTBmR3lrRkVHa+PwarX1ypb7+9OOLfrx5X79sV46igqJUt2yix/l5rO8ilY+IUWxInPVBktfg1DvVrWpvDa55l/XHQsUfw7SEdvK9HZo89A6FhYa6XxtfPiG+wFd3vb1DO0UEh+rRa2/XoV5z9OINd6ta6QRFhYV7vP6+Ye3aZ33Pz4L01WsbFOQfoNqxl2lj5lgd6PmIZlzVQwF+/mqQXnQXA7mQr/HY/n0VEhTk/vwvS0jQxkULrT82Kr4YpkXbG0seV2L5S//4WaXgYI3qc1uBXuKa95ZWfWo00e5uOfqw61R1Tcp9W5Sw4BD3fSTElNGaWYX39izVKlZUWECwFjbuq0O95uiFNncpMSpOoUHBOr59q/Wv8SsL56tCXLzHz4ROGDzA59+3kzzzxWGa7SoZL+c9vH+v2rRo7vH3paaNrinQs5s/f3lA5eLjVSc+Ua9mjtGBno/ooatuUaB/gGJLx7g/flBgoEYMGqhTP353Uc+W5n0dm5TLvcJt/9Rm+qR7jv7VZao6Vb1Cxhi1T+xmfZDcmT5B1Uole3yNk6JTdFf6ROuPjYovhmkJbfn9ud+YrGFDtPfjf2nHltd1XZPGCg8L074XL/xCRP/etkUdmzX1+ANfOjJKUf8dq3t7zNTTLYepfFQZZaSmFspfaP69bYtiIiMV9KcLhPgZc8Fv2VAUPTruXhljdFfdttrdLUevtxunqy9NUVR4uA698pL1x0fFE8O06Pr6tZcVHRWlqxpcqa0bX9Hnn+zS2FG5P9s+e/Q9BfqYj4y6WxGhYe7zJDwk9x/v+tdspg+7TtW2jhPVqlK6ggOD3D+/frF1b9Mq30VCgvwDVKlcuSK9QNv59MX6FxQRGqZry9fQ5vbj9XG36RqZ3lrGGC2amG399wAVX748TG2/nDezdSvFxJTWikWP6at9e/SPlcuVEB+vJtdcXaCP994bm5SU6HmhtLCQULkSquiVG8fo0+4PKjujo/z8/DRtYvZFP1ua7crRLUn9znnxowE1RhbJ9+5CqlYqWbEhUVp+3SDt6/GwljQboJiQSKVE17D+2Kj4YpiW0DJq1VKrFs2lX4+5+/d3X6lUVFSBrxp76v13tHvNs/r79Ae0+uEHFeDvrwev6uHxUpK1rf8mY4w2L1100Z/DkvsmyBijnTfdr5wGN2to7ev1auYYDarVXLGlogv80uTCqmaVKmpXpb7H5/9lrzkKCwrWfUNKxsvzqOhjmBZdU0cMU0hIiL4/+LnHWdblpg5KqZxY4I/74+ZNevahHK2e9ZCuqVtXV1+a4vHytCO3L1RceCkN69H9oj+HH97YqJCgIE28vJPWtv6bhta+XnMa9dbLbUfJGPvvUTx+YH9FBofqm1vneZxlbSrVVZ3kZOu/B6j48uVhavNZ030f7Mz9h55H53qcY6ueXCFjjD7Y8kaBPu6pH7/Tpn+u1dNLFmnSmNEK8PfX//XwfN/3W6s3UoVLyun04e8v6GP/NuM5j1Ga7cpRSnSq6pRN1KfdZ+jOujdodL3M3IvHRZSRq+yVVsfI4NTci8ktazbI4/Nf1CR3TA+peY/1wUTFE8O0hFYmOlqTJ4zzOAT16zFde83VhXKxjTeXL5ExRm91nOhxCPx42wIZY7R08sSLvo+x/fvqksiYc1786LvXX7X6NQ4NDta0Bt3zPT5XQhXd1j7T+u8BKp4YpkVX/04dVad2Wr5zbPZDMxQQEFAo93FZfILuqts235/j6y9L1w3XXnPRH/+DZ/5+7osf+flpzpiCPfNbWN1yQxtdWS4p3+c/+YouKhUeYf33ABVfvjpMs112X877yppnZYzRnl3ve5xj336xT8YYrVq+9KLvY+Qdg1StTLl8f44XNO4jY4x+/ebLCx6lfx6mCWEJ57z4UZWoalbHSLeqt8kYo709Zno8tk+65158rke1vtYHExVPDNMS2hW109SiWVOPQ/DoN4cUFRmpsf37XvTH/+q1DQoMCND0hjd7HALPtRqZexnz5Usu+j6WTZ6U+6+JXR7wuI/+NZsprnTpQr3Q0J51azS8R3eNuOVm7V33/Dlvd+iVl7Tygcla9WCOalWpqraVXR6P7WDP2QoNDNaUYUOs/x6g4olhWnRNzxqu4OBgfbN/r8dZdlP7dkqtWqVQ7qNpRoauLJfk8Yzpj7ctUGxYlEb2vOWiP/6PmzcpNDhY2RkdPc6KvGdMX144v9C+Xse3b9X9w4ZoQKebtPaRh895u1+2b9WaWTO1/P77NOKWHooIDtVXt87NN8xdNWpY/z1AxZevD1NbL+fd/6/35efnp4VzH/E4x55esUzGmIu6EFJe8x+aoQB/f33a/UGPP8e3pFytyy4tf0HPmJ5tlGa7clS9dE2llbnM46z8qc/juiQ8RvXLNijU71e3qrepftkGal6+zTnfN3R8venqV3242id2U8fK3WWM0eKmAzw+/4WN+8oYo6G1RlkfTFQ8MUxLaE9OnSJjjAb376ePdu7Q5lfWq9HVVykyPLzQ3qz9lrZtFBEcqlnX9NLubjla1myQLomMUYPatQvlZ0x/fvtNVYxPUI0y5bWmVZZ2dZ2m7IyO8vfz18TBAwvta9WpRXOZM95c3s/4qUvLFh63OfneDo3ue7sCA/74edewkNyLpQytfb3e7zxFG9qO0hWXVFN0RORFv58peU8M06Lr202vKCa6lC6v79LG9S/okw/e1Z0jhrmvBl4Y97Fm1kwZY9S7+rV6p9NkbWo3Vs0q1FJocLA+WVs4b0k1oPNNCg0MVk7Dm/Vxt+l6svkQVSxVVulJyYX2M6ZPTX9AQf6BHj9zVj4uXt9t8nxlycsL5yshpozH7UICg9SwXLJevnG03us8RYNrtZAxRsvvv8/67wEqvnx9mNp81vSmzBsVHR2tx+bN1r7dH2rFosdUtmysmjdpXCgf/+gXnyuhbFmlx1XSujZ36cOuUzWqXqaMMXrw/vsu+NnSs30NeyUPkDFG3ao10Ns3TdLm9uPV6rJ0BfgFaGBqVqF8n+5Mz1ZUYCmP8ynABKpzlZ5/ut0EVY6q6nG78IAwlQ6O0ONN+ml3txwtaNxHpYLDVaN0LetjiYovhmkJLidrhKIiItx/aBPLX1oob5ye17+3bVHXli3kd8YPwjfNyNCXr64vtPvY9dwzSk/64yprwYFBGt6je6E9Wzo9a4SMMbrM1FQT01NNTE9VNKm5h/mdWe7bLZ6ULWOMxrja6WDP2fqo6zRlVnbJ399f4SF/XM2zWoUK2rJssfXvPRVfDNOibduKpUpOrPTHXz7CwpQ9qHCvGDtnzD2Kjoh030eFuHi9MHd2oX38n99+U71ubCt//z8ugHR1nTqF9o+EP7zxmgL8AhRlYtXAdFRz00dppqn8TYDSkqq5b/fVaxsUGRamJhVS9W6nyfr61rma1qC7/IyfypaKdj+2yLAwPTB8qPXvPRVvvjxMs1254/S3Gc9ZGaZHv/hcHW9s6zGkWje/Tt/v/azQ7uP9za+rZnKK++OHhoRo1MgR5/1s6blewntmmZW6KCLwj3djKBVUSt2q9i6071FcaIL8TYBqm6ZqbvqqgemoKBMrfxOge9L/+P2REl1DsSFR+kfLYfrhtgV6oc1dKh9RRuGBnu8UUb10Td1TZ5L1sUTFF8O0hHfkzde1YcE8bVm2uMjeY/Pzl/6pF+bO1kernymSj3/yvR1656mVenHebH392suF+rHLx8Ur0pTR9WagWplBamUG6XozUBGmtCrEJ7hvl5GaqlaV0j1eIpJ3gZTBXbto/aNztXX5EutX2KTij2Fa9J3YuV3bVizVS/Pn6Ic3NhbJffy0bbM2LJin1xc/VmQXVvti/Qt6cd5s/WvV04X6cYd27yZjjK4x3dznWCszSNVMhvyMn/u9X6eOGKbQwGB92WuOx1nWK6WRKsbHa8uyxVr/6Fyf//1EZ88Jw9T2W8fs+2CnXlr1D3327vYi+finD3+vHRtf0YbnVumHfXsu6L/9q1Ga15i6U9QreYB6pwzW2HpTC+3787e08TLGT0nmco9z7GrTVcYYNYhvpGxXjobVGi1jjBY27nvWi292rtJTPZL6ahgv33VkDFPy6iJCwlTB1PA4BFuZQSpvqisiNNx9u4SYMrrX1S7fD/03qZCqjtc1s/55kL0YpmS7VldfpQATmO8cq2/aeFwlfXDXzkqNrZDvHJt9za0yxvC+pQ7P14dptsvus6Yluf/1Et7iqnfyIBljVN/c4HGOXW8Gyt8EKvm/b/uSd7v3Ok/xOMe+unWujDG6qXIP6+OI7MUwJa+uSoUKCjWRamn6uw/Blqa/Qk2Eqlas6L5dk/r1deUlnhdI+frWuYoMDi2Ui0mR98YwJduNG5D7lghXmg4ef6GrZGrL3/jr6NY3dOr93JcsB/j765PuMzz+QndjZZdqJBb87XfIN3LKMLX9rGlJ63xewlssgyL9PvkZfyWadI9z7ErTXsYYNS7XQtmuHGXVHid/P/9874qwtNlAGWM0KPVv1scRWfx9xDAlb27FlNzfwGVNRV1uMnW5yVRZU1HGGD05dYr7ds/PfljGGHWp1kAbM8dqdauRykioquiISH2x/gXrnwfZi2FKtju+fatCgkIUYsJV21ynhqaTqhqXjDFqcnmG+3ZH3nxd5WJjVaNMeT3VYog2tx+v/qnNZIzR4xPGW/88yG5OGKbZLp41LYmjNK9KkVVkjFFV41JD00m1TTOFmHAF+QV5XJ23buzlCgkI0v1XdtHbN03Sw1f3VKngcCVHV7f+OZDdGKbk9Y3t31eBZ1zNMtA/UOMG9Mt3u8cnjPe4mmXNylX0ZiG8LQ55dwxTKgm9vXKZypxxASM/46craqfp+PatHrf78Nl/KCM11X27mMgoTc8azst4yVHDlGdNcytJozTblaN76z6g8uGXebxTQnhAuPpVH+5xuzF1p6he2SsU4BfgPu9qxaRzoSNimJJvdHz7Vq18YLJWPjD5f1745PiObXpr5TJ98Mzf+Ysc6dT7DFMqWW1atFALxo/9yyv+frxmlbatWKpjb22x/pipZOSUYZrt4lnTM58ttT0kztbwtDG6sVIn3ZY8+H/e7s70CepTfYiyao+z/pipZMQwJSJHxzAlIl/IacPUyeO0pL2El6iwYpg6vN/eeUvPPpSj+4YM1rLJk/jXd3JcDFPfaOfTT+qB4UP14J1Z2vfiP60/HqLizknDNNuVO04XhY6zPhILs+/3fqZ5D+bo/nFj9fq658/6HqaMUvLlGKYO7vOX/qkaiYkyxqhMWO6b019SJlY7nlph/bERFVcMU+/uxM7t6t0uU8YYRQSHKCQwSP7+/srJGmH9sREVZ04bptku33pJ7zPLligsNFQB/v4qFRIuY4yaN26sn788wCglx8QwdXBNMzJUsVRZbemQrV/7L9WurtNUL76yEi8pV2RvUE9U0mKYendz7x0lPz8/zbqml/7d53F913u+hqS1lDFGW5Yttv74iIorpw5TXxinhz7+UCHBwWpfJUMHej6iX/ot1tMthyk8KEQjBg9klJJjYpg6tP9bt1bGGC1uOsDjfaS2dMiWMUYvzptt/TESFUcMU+/OVaOG2lZ2eZxjv/RbrMrR8erTob31x0dUXDlxmGa7fGOcTp0wXmFBIfrm1nkeZ9mI9NYqHVVKv+Y8yyglR8QwdWhbly+RMUZbO0zwOAS/6z1fxhgtmzzJ+mMkKo4Ypt7dZfEJ+ludNh7n2K/9l6p5xTS1bdzI+uMjKq6cOkyzXd4/TrPuGKzKpRPynWPzr71dxhgNNMMYpeSIGKYO7fCWTYoIDcv3F7pH/3sI7nruGeuPkag4Yph6dx2aNVVKmUv1U5/H3efY/ltmKSwoWBMGD7D++IiKKycP02yXd4/TpxY9lu/JguP9lqhFxTTF+cUxSskxMUwd3Oi+t8vPz0/9azbTMy2H6556Nyo0MFidml9n/ToM//kAAA43SURBVLERFVcMU+9u24qlCg4MUsNyyVrabKDmNOqtpJhyio+J0VevbbD++IiKK6cP02yX947T3779SrVSqishorSmNuimJ5sPUdvEejLG6Hpzg/WvK1FxxTB1cCd2btd9QwYrrnRpGWMUGRamod276ee337T+2IiKK4ap97dhwTzVTUmRMSb3SpZXXsGrPshxMUxz89Zx+vWnH6tzu3YK9A+QMUYxfjFqblpZ/3oSFWcMU9KvO97SgQ0vMkjJkTFMfaOT7+3QV69t0A9vbLT+WIhsxDD9I28dp7/NeE79zB3qbfprsD8v3yXnxTAlIkfHMCUiX4hh6lneOH0n6UGvGKi8HQwRw5SIHB7DlIh8IYZp/oaG313inz39bcZzWhQ6jlFK5GKYEpHDY5gSkS/EMD13eaNvUei4EjNQ/zxIh4bfbf3rRGQ7hikROTqGKRH5QgzT/92Zz57aHKgn129kkBKdI4YpETk6hikR+UIM0/PL1kBlkBL9dQxTInJ0DFMi8oUYphfWnwfqotBxOrl+Y5GMUQYp0fnFMCUiR8cwJSJfiGFasIaG333WkVqQoXrmEP3zGGWQEv11DFMicnQMUyLyhRimF1/egDzXUP2r/jxEGaNEFxbDlIgcHcOUiHwhhmnhd+bAPN9sP2Yib45hSkSOjmFKRL4Qw5SIvD2GKRE5OoYpEflCDFMi8vYYpkTk6BimROQLMUyJyNtjmBKRo2OYEpEvxDAlIm+PYUpEjo5hSkS+EMOUiLw9hikROTqGKRH5QgxTIvL2GKZE5OgYpkTkCzFMicjbY5gSkaNjmBKRL8QwJSJvj2FKRI6OYUpEvhDDlIi8PYYpETk6hikR+UIMUyLy9himROToGKZE5AsxTInI22OYEpGjY5gSkS/EMCUib49hSkSOjmFKRL4Qw5SIvD2GKRE5OoYpEflCDFMi8vYYpkTk6BimROQLMUyJyNtjmBKRo2OYEpEvxDAlIm+PYUpEjo5hSkS+EMOUiLw9hikROTqGKRH5QgxTIvL2GKZE5OgYpkTkCzFMicjbY5gSkaNjmBKRL8QwJSJvj2FKRI6OYUpEvhDDlIi8PYYpETk6hikR+UIMUyLy9himROToGKZE5AsxTInI22OYEpGjY5gSkS/EMCUib49hSkSOjmFKRL4Qw5SIvD2GKRE5OoYpEflCDFMi8vYYpkTk6BimROQLMUyJyNtjmBKRo2OYEpEvxDAlIm+PYUpEjo5hSkS+EMOUiLw9hikROTqGKRH5QgxTIvL2GKZE5OgYpkTkCzFMicjbY5gSkaNjmBKRL8QwJSJvj2FKRI6OYUpEvhDDlIi8PYYpETk6hikR+UIMUyLy9himROToGKZE5AsxTInI2/PaYXr06FEZY7R//Tod3rKJiKhA7V+/TsYYHT16lHOMiLw2W2dZ3jk2Iu1e3VPnPiKiAjci7d6LOsesDdODBw/KGENEVCgdPHiQc4yIvL7iPss4x4iosCvoOWZtmJ4+fVoHDx7U0aNH9dNPPxERFaijR4/q4MGDOn36NOcYEXltts4yzjEiKqwu9hyzNkwBAAAAAJAYpgAAAAAAyximAAAAAACrGKY4q1WrVqlevXpKT09X9erV1bRp0yL7uZeNGzfK5XKd9dd69eqlRx55pEjuN+++169f7/7fn3/+uWJjY4vs/gAUL84yAN6OcwxOwTBFPl9//bXi4uK0f/9+9//37rvv6j//+U+R3J/NQ3D8+PHKyspy/28OQcB3cJZxlgHejnOMc8xJGKbIZ+fOnSpXrpyOHTt21l//7LPP1Lp1a9WvX1+1a9fWnDlz3L9mjNH48ePVsGFDJSUl6YknnnD/2s033yyXy6W0tDS1adNG3377raTzPwRPnDihu+++WxkZGUpPT1eXLl105MgR9+0GDhyoZs2aKSkpSe3bt9fvv/8uKfc92jp06KCUlBQ1adJEPXr0UFZWlt577z0lJCQoLi5O6enpmjBhgvsQHDt2rOrVq6eqVatq3bp1F/9FBVDsOMs4ywBvxznGOeYkDFPkc/r0aXXo0EExMTFq166dpk2bpkOHDkmSTp06pfr162v37t2SpF9++UVpaWl69913JeUegtnZ2ZKkvXv3KjY2VgcOHJAkff/99+77mDJligYPHizp/A/ByZMna9KkSe5fmzhxooYOHeq+XYMGDXT8+HGdOnVKDRs2dB/AI0eO1O233y5JOnz4sBITE93/Ine2f50zxmj16tWSpBdffFHJyckF+0ICsIqzjLMM8HacY5xjTsIwxTnt3r1b8+fPV2ZmpqKjo7Vnzx599NFHCgsLU3p6urvExEQtX75cUu4hmHdgSlJmZqZWrlwpSZo5c6ZcLpdq1aqlqlWr6qqrrpJ0/odgRkaGUlJS3Pdbo0YN3XDDDe7bTZ8+3f3fDR8+3H1g1q1bV1u2bPH4tf91CEZERLj/99GjRxUQEFDAryCAkoCzjLMM8HacY5xjTsAwxXlp2bKlZsyYoV27dqlixYrnvN3ZDsEnnnhCmzdvVrVq1fTdd99JktasWeM++M73EKxfv75effXVv7ydJGVlZWn8+PGSpDp16ujNN990/9pfHYJn/jzDsWPHZAx/TABfwVkGwNtxjsFX8d1FPocOHfL416zDhw8rOTlZq1ev1smTJ5WSkqKlS5e6f33Pnj368ccfJeUeghMnTpT0x4Fy4MABrV27VvXq1dOpU6f0+++/q3Xr1hd8CE6cOFFt2rTRL7/8Iin3JSu7du3KdzvJ8xAcMWKE+vXrJ0k6cuSIKleu7D74ZsyYoT59+rj/Ow5BwHdwlnGWAd6Oc4xzzEn47iKf/fv3q0WLFkpKSlJ6erpq1qypyZMnu3/9s88+U5s2bZSWlqbU1FRde+217n+RM8Zo6tSp+X7Q/uTJk+rcubOqVaumxo0ba/To0Rd8CJ44cUJjxoxRrVq1lJaWprS0NK1YsSLf7STPQ/DIkSNq166datSooVatWqlHjx7ug3rfvn2qU6dOvh+0z8MhCHgvzjLOMsDbcY5xjjkJ310UKmPMOa8cZ8uJEyf066+/SpJ++uknpaWl6eWXX7b8qACUZJxlALwd5xi8DcMUhaokHoLffvut+42pk5OTNWHCBNsPCUAJx1kGwNtxjsHbMEwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVjFMAQAAAABWMUwBAAAAAFYxTAEAAAAAVv0/mFnRdfpm5fIAAAAASUVORK5CYII=\" width=\"934\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Score -  Linear kernel - 4 features : 99.33%\n",
      "Score -  Polynomial kernel (degree 3) - 4 features : 98.00%\n",
      "Score -  RBF kernel - 4 features : 98.00%\n"
     ]
    }
   ],
   "source": [
    "def plot_decision_surface(X, models, titles, axlabels, aspect):\n",
    "    models = [clf.fit(X, y) for clf in models]\n",
    "    fig, sub = plt.subplots(1, 3)\n",
    "    fig.set_tight_layout(True)\n",
    "    X0, X1 = X[:, 0], X[:, 1]\n",
    "    xx, yy = make_meshgrid(X0, X1)\n",
    "    zeros = np.zeros_like(xx)\n",
    "    shape = xx.shape\n",
    "    \n",
    "    for clf, title, ax in zip(models, titles, sub.flatten()):\n",
    "        if X.shape[1] == 4:\n",
    "            Z = clf.predict(np.c_[xx.ravel(), yy.ravel(), zeros.ravel(), zeros.ravel()])\n",
    "        elif X.shape[1] == 2:\n",
    "            Z = clf.predict(np.c_[xx.ravel(), yy.ravel()])\n",
    "        Z = Z.reshape(shape)\n",
    "\n",
    "        ax.contourf(xx, yy, Z, cmap=plt.cm.RdPu, alpha=0.8)\n",
    "        ax.scatter(X0, X1, c=y, cmap=plt.cm.RdPu, s=20, edgecolors='k')\n",
    "        ax.set_xlim(xx.min(), xx.max())\n",
    "        ax.set_ylim(yy.min(), yy.max())\n",
    "        ax.set_xlabel(axlabels[0], fontsize=8)\n",
    "        ax.set_ylabel(axlabels[1], fontsize=8)\n",
    "        ax.set_xticks(())\n",
    "        ax.set_yticks(())\n",
    "        ax.set_title(title, fontsize=8)\n",
    "        ax.set_aspect(aspect)\n",
    "        fig.set_tight_layout(True)\n",
    "        print(\"Score - \", title, \":\", '{:.2%}'.format(clf.score(X, y)))\n",
    "\n",
    "    fig.show()\n",
    "\n",
    "C = 1.0\n",
    "X2 = X[:, :2]\n",
    "X4 = X\n",
    "models = (SVC(kernel='linear', C=C),\n",
    "          SVC(kernel='poly', degree=3, gamma='auto', C=C),\n",
    "          SVC(kernel='rbf', gamma=0.7, C=C))\n",
    "titles1 = ['Linear kernel - 2 features',\n",
    "          'Polynomial kernel (degree 3) - 2 features',\n",
    "          'RBF kernel - 2 features']\n",
    "titles2 = ['Linear kernel - 4 features',\n",
    "          'Polynomial kernel (degree 3) - 4 features',\n",
    "          'RBF kernel - 4 features']\n",
    "\n",
    "plot_decision_surface(X4, models, titles2, ['Sepal length', 'Sepal width'], 'equal')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Below are several examples of the decision surface resulting from models trained on two features."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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 / mpl.ratio, fig.canvas.height / mpl.ratio);\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",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\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 src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA50AAAKfCAYAAADtk6z1AAAgAElEQVR4nOzdd3QU9d/F8e+mEQgldAVC6AHSE3pv0nvzJ1iw0KRIUUGQImJBxAIqVlAUCxbUR1FEBSwggoAIgiiCVOlNOuQ+f8SMWUI2ddiS9+uce46EnezMuvth7s7srBEAAAAAADYx7l4BAAAAAIDvonQCAAAAAGxD6QQAAAAA2IbSCQAAAACwDaUTAAAAAGAbSicAAAAAwDaUTgAAAACAbSidAAAAAADbUDoBAAAAALahdAIAAAAAbEPpBAAAAADYhtIJAAAAALANpRMAAAAAYBtKJwAAAADANpROAAAAAIBtKJ0AAAAAANtQOgEAAAAAtqF0AgAAAABsQ+kEAAAAANiG0gkAAAAAsA2lEwAAAABgG0onAAAAAMA2lE4AAAAAgG0onQAAAAAA21A6AQAAAAC2oXQCAAAAAGxD6QQAAAAA2IbSCQAAAACwDaUTAAAAAGAbSicAAAAAwDaUTgAAAACAbSidAAAAAADbUDoBAAAAALahdAIAAAAAbEPpBAAAAADYhtIJAAAAALANpRMAAAAAYBtKJwAAAADANpROAAAAAIBtKJ0AAAAAANtQOgEAAAAAtqF0AgAAAABsQ+kEAAAAANiG0gkAAAAAsA2lEwAAAABgG0onAAAAAMA2lE4AAAAAgG0onQAAAAAA21A6AQAAAAC2oXQCAAAAAGxD6QQAAAAA2IbSCQAAAACwDaUTAAAAAGAbSicAAAAAwDaUTgAAAACAbSidAAAAAADbUDoBAAAAALahdAIAAAAAbEPpBAAAAADYhtIJAAAAALANpRMAAAAAYBtKJwAAAADANpROAAAAAIBtKJ0AAAAAANtQOgEAAAAAtqF0AgAAAABsQ+kEAAAAANiG0gkAAAAAsA2lEwAAAABgG0onAAAAAMA2lE4AAAAAgG0onQAAAAAA21A6AQAAAAC2oXQCAAAAAGxD6QQAAAAA2IbSCQAAAACwDaUTAAAAAGAbSicAAAAAwDaUTgAAAACAbSidAAAAAADbUDoBAAAAALahdAIAAAAAbEPpBAAAAADYhtIJAAAAALANpRMAAAAAYBtKJwAAAADANpROAAAAAIBtKJ0AAAAAANtQOgEAAAAAtqF0AgAAAABsQ+kEAAAAANiG0gkAAAAAsA2lEwAAAABgG0onAAAAAMA2lE4AAAAAgG0onQAAAAAA21A6AQAAAAC2oXQCAAAAAGxD6QQAAAAA2IbSCQAAAACwDaUTAAAAAGAbSicAAAAAwDaUTgAAAACAbSidAAAAAADbUDoBAAAAALahdAIAAAAAbEPpBAAAAADYhtIJAAAAALANpRMAAAAAYBtKJwAAAADANpROAAAAAIBtKJ0AAAAAANtQOgEAAAAAtqF0AgAAAABsQ+kEAAAAANiG0gkAAAAAsA2lEwAAAABgG0onAAAAAMA2lE4AAAAAgG0onQAAAAAA21A6AQAAAAC2oXQCAAAAAGxD6QQAAAAA2IbSCQAAAACwDaUTAAAAAGAbSicAAAAAwDaUTgAAAACAbSidAAAAAADbUDoBAAAAALahdAIAAAAAbEPpBAAAAADYhtIJAAAAALANpRMAAAAAYBtKJwAAAADANpROAAAAAIBtKJ0AAAAAANtQOgEAAAAAtqF0AgAAAABsQ+kEAAAAANiG0gkAAAAAsA2lEwAAAABgG0onAAAAAMA2lE4AAAAAgG0onQAAAAAA21A6AQAAAAC2oXQCAAAAAGxD6QQAAAAA2IbSCQAAAACwDaUTAAAAAGAbSicAAAAAwDaUTgAAAACAbSidAAAAAADbUDoBAAAAALahdAIAAAAAbEPpBAAAAADYhtIJAAAAALANpRMAAAAAYBtKJwAAAADANpROAAAAAIBtKJ0AAAAAANtQOgEAAAAAtqF0AgAAAABsQ+kEAAAAANiG0gkAAAAAsA2lEwAAAABgG0onAAAAAMA2lE4AAAAAgG0onQAAAAAA21A6AQAAAAC2oXQCAAAAAGxD6QQAAAAA2IbSCQAAAACwDaUTAAAAAGAbSicAAAAAwDaUTgAAAACAbSidAAAAAADbUDoBAAAAALahdAIAAAAAbEPpBAAAAADYhtIJAAAAALANpRMAAAAAYBtKJwAAAADANpROAAAAAIBtKJ0AAAAAANtQOgEAAAAAtqF0AgAAAABsQ+kEAAAAANiG0gkAAAAAsA2lEwAAAABgG0onAAAAAMA2lE4AAAAAgG0onQAAAAAA21A6AQAAAAC2oXQCAAAAAGxD6QQAAAAA2IbSCQAAAACwDaUTAAAAAGAbSicAAAAAwDaUTgAAAACAbSidAAAAAADbUDoBAAAAALahdAIAAAAAbEPpBAAAAADYhtIJAAAAALANpRMAAAAAYBtKJwAAAADANpROAAAAAIBtKJ0AAAAAANtQOgEAAAAAtqF0AgAAAABsQ+kEAAAAANiG0ukBwsPD9csvv6T5ebt27fTHH3+4YY2Spbdenn7/9913n6pXr66YmBjVrl1bX331Vbq3ff755xUREaHY2FgdOnQoW+u5dOlSLV68OFvLApcLDw+3npM1atTQM888k+EykyZN0ujRo6/C2rm2Z88eNWvWLMPbLV26VImJiVf8u1tuuUWzZs3K7VXLtIzuv1u3blqxYkW2lnWnfv36KTo6WrGxsapVq5a+/PJL6+969Oih77//Plu/9+2331ZcXJwiIyMVFRWlmTNnpnvblStXKioqSnFxcfr888+zdX/bt2/XCy+8kK1lgcxIPYOrVaumRx55xPq77du3y9/fX7GxsYqNjVX16tX14IMPWn8/adIklSxZ0vr72NhY7d+/P819NG3aVP/3f/93VbbnSrJ7/08//bQiIyOtWfL222+ne9sPP/xQ1atXV2xsrDZs2JCt9Vy3bp3eeeedbC0Lz0Pp9ADuLneSdOHChTQ/y+l6Xbp0SZcuXcr28tm9/0WLFun06dOSpPXr1ys0NFRnzpy54m2rV6+uH3/8MdvrKOVsh/9KjzvyttTP+507d6pIkSL6+eefXS7jKaUzs+wunTl5Xbm6/1WrVql58+bZWjY7cnM+HD161PrvdevWqXjx4kpKSpIk/fTTT2ratGm2fu93332nffv2SZKOHTumypUr67vvvrvibQcNGqTHHnssW/eTwtVzJyPMW2RG6hm8Z88eFSlSRKtWrZKUXDqLFy9u3fbEiRMqXbq0Nm7cKCnzszg3SufFixezvWx27//LL7/UsWPHJCX/+1SiRAnt2LHjirdt27atFixYkO11lKS5c+eqR48e2VqW17vnoXR6gPTKVeqfN23aVPfee68aNWqkSpUqaeDAgdbtTpw4oTvuuEO1a9dWdHS0Bg4cqPPnz0uSZsyYoVq1aikuLk61a9fWDz/8YC1njNHjjz+upk2b6u6773Z5/08//bQaNmyoAwcOSJKmT5+u2rVrKz4+Xu3atdPOnTslJQ/cG2+8Ud26dVN0dLR2796t8PBwTZ48WfXr11eFChWc3hXct2+fevXqZa37hAkTMnxcsuLSpUsqVKiQdu3alebvevToocDAQEVERFhD7fPPP1fDhg2VkJCgOnXqaPny5dZ6NmvWTAkJCapZs6aGDRumpKQkrVu3TqVLl7be2XzggQfS/KN08uRJGfPfS+1Kj3t6j+fHH39svaMYGRmpDz/8MEePBzzf5c/72rVr691335UkTZs2TTVr1lRUVJT69Olj/eOfekcnKirK6Ujc888/r969e0tyPUf+/vtvde3aVVFRUYqMjHQ6mhQeHq4JEyaofv36CgsL0+uvv66nnnpKtWvXVqVKlbR06VJJaXfI+vbtq8TEREVHR6tDhw7WO/6ZLZ3ffPONatasqdWrV0tK//W5dOlSxcbGatiwYapXr54WLFigW265RYMHD1bLli1VtWpVdevWTefOnZMknT9/XmPGjFHt2rUVGxur66+/3iplrorjbbfdppdfftn68+7du9WiRQtFR0erc+fO6tChg7Wsq7m8adMm1alTR5GRkbrhhhtUt25dawewadOmGjdunFq0aKEWLVq43G5JmjdvnurUqaP4+Hg1adIkUzNz6dKlKlGihFU6JSkiIkJbt27NcNmMdOjQQa+//nqanz/yyCMqWrSoypYtq9jYWB09elRbt25V+/btVatWLcXExOjZZ5+1bp/ecyciIkL58+dXbGysOnXqJCntayYxMdF6Tmbl8dy6dasaNGigmJgYRUVFafz48Tl+POB9Ln8+1alTxypPl8+4PXv2qFSpUk77QFktne+++65iY2OtM9vSe03PnTtXbdq00U033aTExEStWLEi2/uGuXWkNTIyUt9++22anw8bNkwhISGqWLGi6tevL0n68ccf1bx5cyUmJio+Pl7vvfeepORy2Lp1ayUmJqpmzZrq06ePTp06pf379yssLExFihRRbGystW3GGJ08edK6r+LFi2v79u2Skv/fTZ06Vc2aNVOfPn1cPp4rV65UQkKCtX/13HPP5fjxgGuUTg+Q2dLZo0cPXbx4UadPn1aFChWsHcv+/ftr3rx5kqSkpCTdfvvteuKJJyTJKolS8gssMjLS+rMxRg899JDL9fr55581YsQIde/e3Tp6OH/+fPXv3996l23evHnq3LmzpOSBW7ZsWafTScLDwzVixAhrfQoXLqzdu3dLklq3bm39g3/hwgW1adNGH3zwgcvHJStefvllxcXFudzGlPvYtm2b6tevr+PHj0uSfv/9d5UpU0bnz5/XmTNnrCF38eJFdejQwSoCl/8jk5nSmfpxd/V4xsTEWKe9Xbp0yeloBXxT6ufkhg0bVKhQIW3dulWLFi1S9erVredA//79deedd0pyfg6++OKL6tu3r/X7oqOj9c0330hyPUd69+6tsWPHSpL279+vcuXKWe/uh4eHW2+Q/Pjjj8qfP79VEN555x1rp+Ly5/7Bgwet/37kkUc0ZMgQSZkrnW+++abi4uKsnQlXr8+lS5fK4XA47fzccsstql+/vk6fPq2LFy+qQYMGevPNNyVJDz30kNObX1OmTNHw4cOd7v9KKlWqpF9//dX6c/fu3TV58mRr/QoWLGgt62ouJyQkWMVszZo18vPzcyqd7du3t3YOXW33d999p/bt2+vs2bOSkkt6TEzMFdddksaMGaNKlSqpaNGiVilLceutt2r27NnpLpsZmzZtUrFixbRnz54r/n3qx/bixYuqVauWNm/eLEk6deqUoqOj9dNPP0nK2nMno9KZ2cdz+PDhTrP58OHD2X4s4L1SP582b96sSpUqWftSqU+vjYqKUlBQkO6//35r2ctPr+3Xr98V7yOl9D3++ONq0qSJ9Vxz9ZqeO3euQkJCnN4cyu6+YW6UziVLlqhMmTLWvmF62ygln2kRHx+vvXv3Skp+fZcvX1779u1TUlKS9fGmpKQkDRo0SNOnT7e2+fIjnRmVzgEDBlhvqLl6PDt37qz58+dbv+fIkSM5ejyQMUqnB8hs6UwpOZLUtWtXa6elZMmS1tGwlM8gDB48WJK0ePFiNWnSRJGRkYqNjZXD4bDe7TfGWKdFpbdeiYmJGjRokNNpsr169VLFihWt+4uKilJsbKyk5IGb+p22lN+TcqRCkuLi4vTtt9/qn3/+UUBAgNNnHypXrqyHH37Y5eOSWV9++aXCwsK0ZcsWl9uYch/PPvtsms9ilClTRtu2bdOpU6d05513KiYmRtHR0SpdurT1Lnh2Smfqx93V4zly5EjVrl1b06ZN07p167L9WMB7pP48Uf369a3X/ahRo5yK0tq1a1WtWjVJzs/B06dP69prr9X+/fu1bNkypxLiao4UK1bM6YyA4cOHO70WU17DFy9elDHGKgV//PGHSpcuLSntc/+pp55SYmKioqKiVLlyZTVs2FBSxqUzISFBdevWdXqTxdXrc+nSpYqIiEjze1J2XCRpxIgR1uNXu3Zt6zFO+exsx44dreXSK51BQUFOOyZFixa13kCTpC5duljLpjeXjx8/rqCgIKeZGhcX51Q633rrrUxt9z333GMdOUzJtddea8349CxZskS1atVyut19992XoyN7u3btUpUqVVyeTpf6sd20aZN1xDIlFSpUsJ6PWXnuZFQ6M/t4vvfee6pYsaLGjRunxYsX5+jjIfBeKTO4evXqcjgceuqpp6y/u3zGHT58WHFxcfroo48kZe1IZ2Jiojp16mQVIkkuX9MpRzov/z3Z2TfMaencsGGDypUrd8WjnKnXLeU+Pv30U+uIZUrCwsK0bNkyXbp0SePHj1dcXJyioqIUFhZmvXGandK5cuVK6+9cPZ5PPvmkatSooQceeMDldiD3UDo9QGZLZ+oB0aNHD82dO1eSVKJECW3bti3N8ufOnVPBggW1Zs0aSdLx48edXqyXv3CvdP+jR49WTEyMU0nq2bOnXnnllSsuc6WBm94OwYkTJxQYGGi9A+1q+1MbNmyYNTzS+3D6smXLFBYWpvXr16e7fZffxzPPPKObbrrpird78MEHdf3111ufDR05cqS1nZdv865duxQaGmr9+eDBg2lKZ+rH3dXjKUkbN27UrFmzFBMTo2nTprncHni/9J73I0eO1NSpU60/r1271ipalz8Hx44dq4ceekg9e/bUiy++aP3c1RwpVqyYU4EaPny4dQGNy9cp9XM49U5Y6v/+9ttvVaVKFesIwUcffWSVhYxK56233qrKlSs77Qi4en1e6fddXh5Hjx6tSZMmSZJq1aqV7gXGXJXO0NBQp6N4rkpnenP52LFjypcvn9OprZeXztT/j1xt99133+30kYSsiIiIsP5tkNI+v1K89tpr1rydM2fOFX/Xnj17FBERoVdffdXlfaZ+bDdu3KiwsLAr3i6rz53KlSs7zfrIyEin0pnZx1OS9u7dq9dee02dOnVSu3btXG4PfFPqebdkyRIFBwdb+xqXl04pudhc6awTV5o2baqhQ4eqatWq1tF+yfVr+koFLDv7hldaLsUjjzxivd7Tu9jXpk2bVL58eX3xxRcZbmPKfXzyySdq3LjxFW/3+uuvq1GjRjpx4oSk5I9zpWznlbbZ39/f+miJJIWEhDiVztT/VmU0I7dt26YXX3xRjRs3tgo57EPp9AA5LZ233Xab+vfvb31o+siRI/r99991/Phx5cuXzzrVderUqVkunb/88oveeecd1ahRw/qw+Lx585SYmGidDnL+/HmtXbtWUtZKpyS1aNFCU6ZMsf5uz5491tGW7B7pXL58ucLCwqx1ciX1fWzdulUlS5Z0us+U0wtHjRqlu+66S1LyZ9/KlStnbeeMGTN0xx13WMtcuHBBBQsWtI6wzpgxw2XpdPV4pv7HaPbs2erWrVsWHgl4o/Se94sWLVJUVJT1D/OgQYOsUw6v9MZHuXLlVLJkSZ06dcr6uas50rt3b02cOFFS8mnwYWFhTqfXZrV0fvzxx0pISNDFixd17tw5tW/fPtOlc9asWdq0aZOqVKli7di4en1mtXROmTJFHTp0sB6bU6dOWRcCcVU6mzRp4lRWe/ToYc2v7du3O51em95clqT4+HjrtK61a9fK398/3dLparuXL1+u8PBw6/Nkly5dcjqrJMWFCxecTslbtWqVihYt6nTUtm3bttk68rF3715Vr1493UKaWurH9sKFC4qIiNBrr71m/f3vv/+uw4cPu3zu/PTTT6pSpYrT723durX1GeRVq1YpICAg3dLp6vHcunWr9TGHzZs3q2jRoll9OOADLp93I0eOtD7ycnnpPHv2rBo0aKCnn35aUtY/07l8+XJVrlzZOpPJ1Ws6q6XT1QzK7pHOX3/9VeHh4Zm6+nTq+zhy5IiuueYap/m5bt06nTt3TjNnzlSXLl0kJX8ONT4+3trO999/X61atXL6vdWqVbO+MeD999+XMSbd0unq8Ux9Ftxnn32m+Pj4LD0WyDpKpwcIDw9X6dKlVbZsWSu7du3KdOk8ceKEBg8ebF3GOiEhQUuWLJGUfOGR8PBwNW7cWNOnT89W6ZSS36WqVq2afvvtN0nSk08+qejoaMXExKhmzZqaMWOGpKyXzn379umGG25QVFSUoqKiVK9ePesd6+yWzipVqqhUqVJOp1Okd0T08vtYvHix6tatq5iYGFWvXt36IPqOHTusi460b99e/fr1s7bzzz//VFxcnHUhIUmaM2eOKlasqMaNG+vhhx92WTpdPZ5du3ZVzZo1FRcXpwYNGmR4FVN4P1fP+2nTpllfTZHehYRSdOzYUaNGjXL6mas5knIhoejoaEVGRur5559Pd50yUzovXLig3r17q0qVKmrWrJnGjRuXpdIpJZ+6GxERoYULF0pK//WZ1dJ5/vx5jR8/XlFRUYqOjlZ0dLTeeOONKy6X2syZM50uupb6QkI9evRQ165dnS4klN5c/uWXX1SrVi0lJCTo9ttvV0JCgtPnbi/fGUxvu6Xkz4THx8crJiZGNWrUuOJF4VJ2jCMjIxUTE6P69es77fz9888/CgsLc3qDIrPuuOMOFShQwGnepldAL39st27dqg4dOig6Olo1a9ZU06ZNtXv3bpfPnQsXLqhDhw6KjIy0LiS0evVq1axZU3Xq1NGgQYMUGxubbul09Xg+9NBD1ryNjY3lqxryqMvn3ZEjR1SsWDGtWbPmil+ZMnjwYOuMrexcSOjHH39UpUqVrM9ipveazmrpdDWDsls6W7VqpdDQUKfXe3oF9PL7WL16tZo1a2ZtV5s2bXTmzBkdO3ZMLVu2VI0aNdSqVSsNHz7c2s5jx46pfv36iomJsT66tWjRIlWpUkUNGjTQ+PHj05xee/m/n+k9nkOGDLFe74mJifr666+z/HggayidAOBjTp48qbJly+rPP/9096r4lBMnTigyMlL//PNPjn7PP//8Y51eu2nTJpUsWdKtF7GYPXu208VQAADIbZROAPAhs2fPVtmyZV1emRrZt2TJkhxfVXvx4sXWRcmio6Pd/lVIL7zwQo6LNAAArlA6AQAAAAC2oXQCAAAAAGxD6QQAAAAA2IbSCQAAAACwDaUTAAAAAGAbt5XOS5cuadeuXTp27JiOHz9OCCGZzrFjx7Rr1y5dunSJ2UUI8aq4a34xuwghOUlOZ5fbSueuXbtkjCGEkGxn165dzC5CiFfmas8vZhchJDeS3dnlttJ57NgxGWO0c+MGHftrOyHkCtne8zkNMEM0wG+oxsZNJf9mZPT9Msbo2LFjzC5CvCxHVv+gAw/N14FH3tTBWR9ZeTbfGA0wQzQw/wi3zxhfnF8ps2tk9P1ufwxyOwPMECuHP/jE7c/xvJyU/RZffx3nxeR0dplcnmmZdvz48eQV/2u7ko4eIoRclkM3zNVQxygN9R+tyYmPk1QZGzdVxhgdP36c2UWIF+Xi5o06O2Ohzj75oc69/KWVOcETNdQxSsMLjHH7fPHV+ZUyu8bGTXX7Y5CbGeoYpaGOUTo7Y6EuLF7q9uc4OaQ1VZ/IM6/nvJSczi5KJyEeGAqnvYOP2UXI1Q+F073zy9dKZ0rZHOoYRdn0wKTsx7j7eUJyL5ROQnwwFE57Bx+zi5Crl4ubN+rC4qUUTjfPL18qnanLJoXTM3Nh8dI899r29VA6CfGx8O6g/YOP2UXI1Unqo5sUTvfOL18onRzd9K6k7M/ktde4r4bSSYgPhQF9dQYfs4sQ+5Pe6bR5uXC6c355e+nk6KZ3hjfSfSeUTkJ8JBTOqzf4mF2E2BsKp+fNL28unRzd9N5wmq3vhNJJiA+Ewnl1Bx+zixD7QuH0zPnljaWT02l9Ixzt9I1QOgnx8lA4r/7gY3YRYk8onJ47v7ytdKYumxc3b3T7c5tkP2dnLOQCiT4QSichXh52wq7+4GN2EZL7oXB69vzyptLJ0U3fC0c7vT+UTkK8OAxh9ww+ZhchuRerbFI4PXp+eUvppHD6ZlKOdrr7+UWyH0onIV4aTqt13+BjdhGSO3F1dJPC6VnzyxtKJ4XTd8Mptt4fSichXhgKp3sHH7OLkJyHwuld88vTSyeF0/fD2V3eHUonIV4WCqf7Bx+zi5CchcLpffPLk0snhTNvhFNsvTuUTkK8KBROzxh8zC5Csh8Kp3fOL08snXwlSt4KpdO7Q+kkxIsyJ3giO2IeMPiYXYRkLxRO751fnlY6U8rm2RkL3f68JlcnlE7vDqWTEC/JmqpPsDPmIYOP2UVI1kPh9O755Umlk8KZN2NdTIji6ZWhdBLiBaFwetbgY3YRkrVQOL1/fnlK6aRw5u1wtNN7Q+kkxMND4fS8wcfsIiRzyeg7OFOXTmacZ88vTyidFE5C6fTeUDoJ8eBQOD1z8DG7CMk4VuF8YmG6ZZOjnN4zv9xdOimcJOkopdObQ+kkxEPDlWo9d/AxuwhxHQqn780vd5ZOCidJCaXTe0PpJMRDs6bqExrqP9rtQ8IXQ+kkxL5QOH1zfrmrdFI4SepQOr03lE5CPDCcVuvZg4/ZRciVQ+H03fnlztJ56Ia5bn9uE88IpdN7Q+kkxMNC4fT8wcfsIiRtKJy+Pb/cUTpTjnJeWLzU7c9v4hmhdHpvKJ2EeFAonN4x+JhdhDiHwun78+tql04KJ7lSKJ3eG0onIR4SCqf3DD5mFyH/hcKZN+bX1SydFE6SXiid3htKJyEeEK5U612Dj9lFSHIonHlnfl2t0knhJK5C6fTeUDoJ8YCkHOV090DIK6F0EpKzWGWTwpln5tfVKJ0UTpJRKJ3eG0onIW4Op9V63+BjdpG8nMwe3Tz38pdaU4355ivzy+7SOdR/NIWTZBhKp/eG0kmIG0Ph9M7Bx+wieTVZKZzWUU6+b9gn5pftpdMxSmuqPuH25zjx7HBmmPeG0kmIm0Lh9N7Bx+wieTHZKpzMOJ+ZX3aWTk6rJZlJylFOZop3htJJiBtC4fTuwcfsInktFE7Pia+VTgonyWw4tda7Q+kk5CqHd+rcH0onIZkPhdOz4kulk8JJshJKp3eH0kS4yjYAACAASURBVEnIVQ6fR3B/KJ2EZC4UTs+Lr5TO4QXGUDhJlkLp9O5QOgm5iqFwekYonYRkHAqnZ8ZXSudQxyjNCZ7o9uc58Z6wD+XdoXQScpXCsPScUDoJcR0Kp+fGF0onp9WSrIajnN4fSichVyEUTs8KpZOQ9JPVwnn4xnkUzjwwv3KrdFI4SXZC6fT+UDoJsTkUTs8LpZOQtLm4eWOWC2fqo5zufl3nlXhz6eRznCS7oXR6fyidhNiYC4uXMiQ9MJROQpyTumxSOD073lw6+RwnyW6YNd4fSichNoajnJ4ZSich/yU7RzcpnHlvfuW0dHJaLcluOMrpG6F0EmJTKJyeG0onIcmhcHpfvLl0UjhJdkLp9I1QOgmxIRROzw6lkxAKp7fGG0tnylFOdz/niXeGmeMboXQSksuhcHp+KJ0krye7hTPlSrXufg3n5Xhb6eS0WpKTcG0M3wmlk3hEfl21Uk9Pe0QvPv2k9v++xe3rk91QOL0jlE6SWzm640/Nfe4ZPfXow1r7jXfsVGe3cHKU0zPijaWTwul5uXBovz57b4GeeHiqFs6fp3MH9rl9na64npROnwmlk7g1Fw8f0IB+t8gYo8DAQPn5+SkoKEgvz3ra7euW5W3ZvJHB6CWhdJLcyAdvzFNISIgcDoeCgoJkjFGvrl10dv9et69beqFwen+8qXRyWq1nZufGDYquWVPGGAUHB8sYo4rh4fp11Uq3r9vlSXkOuft1R9w/uyidJEd5ZvpjcjgcmvXE4zp77JAO7d6h2265WQ6HQ+u/Xe729ctKOMrpPaF0kpxm58YNypcvn7p36ay9f/6uCyePat4rLyooKEgT7r3b7et3pVA4fSPeUjpTysLFzRvd/twnzmnWqKHCypXT918vUdLpE1q/aoVq1qiumtUjdPHwAbevX0o4yulboXQStyYuOlo9unaRzpy0cv7EEV17zTUaNnCA29cvs6FwelconSSnmXr/eIWEhOjEgb1O82vIwAG69prSbl+/y0Ph9J14U+mkcHpefluzSsYYvfP6a06za9kXn8kYo28WfeL2dUwJRzl9K5RO4taULlVKk8bf5zT4dOakmjdtol5du7h9/TITdsi8L5ROktMM6X+HataonmZ2zZ75lIwxunTkoNvXMSU5KZxcOMjz4g2lk9NqPTfLPvlYxhhtWrvaaXYd2r0juYzOfcXt65h0lKOcvhhKJ3Fr2rZsqfjYWF3855g1+P7esU3BwcF6eOIEt69fRqFwemconSSneeWZmXI4HNry80/W7Eo6fUJtWrVUQmyM29cvJTkpnBzl9Mx4S+nkKKdn5uC2rQoKCtJDD0x0Kp0vz35Gxhj9tmaV29cx6Sil0xdD6SRuzdJPPpKfn5/aXtdKH737tua98qJqVI9QqZIlPf4qtpxS672hdJKc5p89O1WpQgWFly+vF5+dqU8Xvqde3bvJGKN3X5vr9vVLOkrh9NV4eunkKKfnZ9jAAQoICNCY0SO15NOPNWXi/cqfP7+u79bV7euWEk6t9b1QOonb8+H81xVRtYqMMTLGqFmjhtq48nu3r1dGYRh6byidJDeyY8N6dWh9nRwOh4wxCg8L02uzn3P7eiUdpXD6cjy5dHLxIO/I+YN/a+zIESpcuJCMMcqfP78G336bTu3d5fZ1SzrKUU5fDaWTeEQuHTmo7T+v077ffnX7umQm7JB5dyidJDdz4I/ftG39T7pwaL/b1yXpaM4L57mXv2S+eXA8vXRSOL0np/bu0u9rV+vErh1uX5fU4Sinb4bSSUgWQ+H0/lA6ia8mNwonM86z46mlk9NqSW6Eo5y+G0onsS2XjhzUpwveVr++fdSnZw+9OvtZnfl7j9vXKydhZ8w3QukkGeW3Nat097Ch6t2tiyaOuUe7f/3F7euUUc7OWEjhzAPx5NLJUU735/jO7Zo57VFd362rBvS7Rd99vsjt65SVcJTTd0PpJLbk0pGDuvXGvjLGqGaN6qpbu5aMMapfu7bHncaR2bAz5juhdBJXWTh/ngIDA1W8eDG1aNZUBQsWVOHChbRyyWK3r1t6yWnZpHB6TzyxdHKU0zOyZ/NGVa1cSf7+/mrcsIEqVqggY4weGDfW7euWmXCU07dD6SS25OO35ssYo1eef1ZJp09IZ05q5bKvlD9/fk0ae6/b1y+rYWfMt0LpJOnlnz07VTQ0VF07ddTpIwekMyd1ZO9O1a1dSzWrR3jU92+mJDcKJ5/j9J54Wunk4kGek5v/d71Klyqlrb+sk86c1KVTxzXhvjEyxuiXFd+5ff0yCkc5fTuUTmJLbuzdSzHRUWm+OP22W25S9WpV3b5+WQ1D0LdC6STp5aM330j+rroNa51m12cffSBjjDZ8/63b1zF1cqtw8saa98QTSyeF0/25ePiAgoOD9eCkCU6z69zxwypWrKjuv2e029fR5fpv3sgM8vFQOokt6dG5k5o0apimdI4aPlThYWFuX7+shJ0x3wulk6SXt+e8LGOM9v/1p9Ps+mH51zLGaNVXX7h9HVNC4cyb8aTSyWm1npPzB/+Ww+HQrCced5pdSadPKKxcOY0eOsTt6+gqHOX0/VA6SYb5ZtEnuqFHd9WvXVu33dRX679dnuEys594XH5+flq/aoU1+A7t3qFrr7lGt998o9u3KbNhZ8w3Q+nMG9m16Rfde9dwNaxbVx1aX6e357yc4emxe7dsUkBAgCaOG+u003ZTn/+pZIkSHnMxNApn3o2nlU6OcuZ+zh3YpxeeekLXNW+mxvXr6cHx43R4+x8ZLteyaRPFxcTozNGD1vz6+L13ZIzR5++/6/btSi8c5cwboXQSl3nhqSdkjFGN6hG6ue8NKh8WpsDAQH264G2Xy/2zZ6fioqNVqFAh3Tmwv8aMHqmyZcqoRPHi+mPdGrdvV2bCzpjvhtLp+/ltzSqVKllSoaFFdEPvXmrUoL6MMRrQ75YMlx1/92gZY9ShbRtNmXi/GjdsIGOMXpr5lNu3K+lo7hVOPsfpnfGU0slRTnty/uDfan9dKzkcDrVu1UI9u3VV/vz5Va1KZe3/fYvLZVcuWazg4GBFVKuqCfeNUb8b+yooKEjtWrXSxcMH3L5t6YWjnHkjlE6Sbo7u+FMhISG6vd/NunTquPXZgDatWqpC+fIZfhH6kR3bdO9dw1UxPFzXXlNat97YV7+vXe327cpMKJy+HUqn76d7p46qWKGCDuz87zTZ2TOfkjEmw6vQXjpyUK/Ofla1E+JVqmRJNWvUUP/39ptu36ako7lbOJlz3hlPKp0c5cz9vPnyizLG6LOPPrBm1+8b1ys0tIhGDb0zw+V/Wv61enTupNKlSql6tap6aML9HnOGxpVC4cw7oXSSdPPevFdljNGOLZucPh+w7IvPZIzRmmVfuX0d7Qg7Yr4fSqdv5+LhAwoICND0h6c6za6L/xxT6VKlNGbEXW5fx+yEwkncOb9Sl06OctqX/3Xvpjq1EtNcE+POgf1VuWJFt69fbobTavNWKJ0k3bz72lwZY7Rz62anwffNks9ljNHqpV+6fR3tCAPQ90Pp9O1cPHxA/v7+mvHow06z69Kp47r2mmt0713D3b6OWU1uFk5Oq/XueErp5CinPbm+W1fVq1M7TekcOmigKlWo4Pb1y81wlDNvhdJJ0s2RHduUP39+Dep/u/VdmxdOHlWHtm1Uvly5DE+vzUk2fP+t+vTsofLlyik2KkqPT52icwf22b7NvPufN0Lp9P10ad9OVSpX0uE9f1k7ba88/6yMMfp+8We23e/xndt1/z2jVb1aVVUMD9fAW/tp+8/rcvQ7c7twMue8O+4unQPMEI5y2pjXX5gtY4y++uwTa3bt2LJJRYuG6q7BA22730tHDurNl19Uo3r1FFaurNq0bKHFH7xn2/1xlDPvhdJJXGbWY9NkjFFsdLQG3H6rKleqqICAAC2cP8+2+/zx6yUKCQlRxQoVdO+oEfpfrx4KCAhQl/btbP1idnbE8k4onb6fTT+sUPFixVS8eDHdevONatm8mYwx6tfnBtvmyKm9u1Q7IV4FChTQ7f1u1oihQ1S6VCmVLlUq28WTwkk8ZX6lLp0c5bQv5w7sU6tmTeXv769O7dup7/+uV0hIiCpVqKB9v/1q2/0+MG6sjDFq1aK5xo+5R7UTE2SM0Wuzn7Pl/jjKmfdC6SQZZsmHH6h7p45KiI3Rjb176cevl9h6f9c1b6boqEidOrzfepfvvX+/sP3Ljz6w5T7ZEctboXTmjWz/eZ2GDxqoxLhYtWrWVK/Nfs7WKzi++PSTcjgcWv3dcmt27f/rT5UqWVIDb+2X5d+X24WT02p9I55QOt392vb1nPl7j2ZOe1SN69dTncQE3X/PaB344zfb7u/vrZsVGBiosXePcvqqqOt7dtc1pUvr7P69uXp/FM68GUon8ahcOLRfDodDM2dMT/PlxuXKltXdw4bm+n1SOPNeKJ3EjvTo3EmNGzZI81msEUOHqEL58ln6XXYVTmad98fdpfPI6h/c/lojuZu357wsY4z+3rHNaXatWPqljDFa9dUXuXp/zKG8GUonyfXk5EjCxcMHlC9fPj08ZZLT4Dt/4oiKFy+m8XePztV1pXDmzVA6SXrzJyfL9+nZQ/GxsWlK5x233qKIqlUy/XvsKJzMOt+Ju0sns8vzcvHwgRzNrw/emCdjjH7fuN5pdi3+vw9ljNHP332Ta+vKm195N5ROkivZsWG9YqOiFBAQIGOMihUN1ZOPPJSt39WnZw+VufZabd+y0TrKOXXyRBljtP7b5bm63nOCJ2p4gTFufyES7xp8zC7fycXDB3TzDf9Tgfz5ZYxRcL586ty+nc4f/DvLv2vh/OQdt/lzX7F22n5a8a0KFCiQ6TfM7CicKUc5mXW+EUonSckbL85W6ZIl5XA45O/vr2pVKmvD91kviCd3/6UihQurV/duOnf8sHTmpE4c2KsG9eqqerWqufY5eApn3g6lk+Q4p/ftVuFChRQSUkBjRo/UzBnTlRgfJ4fDka3iuXPjBlUoX15BQUFq1aK5IqpVlTGGo5zEYwYfs8t30rZlSxlj1KNrF82e+ZRu7ttHDodDcTHRWf5dFw8fUN9ePWWMUXxsrJo0aiiHw6Fa8XGZ+v9tV+Fk1vlWKJ0k6eghLZg7R35+fqoeUU1PTHtEE8eNVbGiRZU/f7D2btmU5d/3ztxXFBAQoGtKl1a71tcpNLSIChYM0beffZor68vVagmlk+Q4dw8bKmOMvvvqC+vd/QsnjyoxPk5FQ0Oz9TuP7Nim6Q8+oK4d2qtf3z76+v8+zNV1Zicsb4fSSZKOHtLeLZvk7++vu4bc6XRK2SNTJsvhcGjNsq+y/DsvHj6ghfPnqU/PHureqaNefPpJndq7K8Pl7CqcHOX0vVA6SdLRQypfrqwqhJd3uujilp9/kp+fn3p365qt3/nLiu80bOAAdW7XVmNHjsjx1z2lJKVwst+Vt0PpJDlObFSUKlYIT/M5pllPPC5jjK1Xi8xOKJyE0kmSjh7Ss49PTz5tf9UKp9n1945tMsZo1JA7r8p62F04mXe+FUonSTp6SPmCgjTu3rvT7Hs1rF9PYWXLuH39Uoc5RHJjdlE6fTCHtm3VJ++8nenTMxrVr6cihQvr7LFDToNv7N2j5O/vn6nfcenIQe3dskmHt/9h67ZROF1nQsI0jYqeoHFxD7m83fj4RzQqeoImJExz+zq7Y/AxuzwzFw7t15cfvq+13yzN1O3fe22ujDFa9OH7TrPrpxXfyhijhydOyNTvOfbXdu3+9ZdsvcFmZ+HMa/PunpjJuif2AZe3mZjwmEZFT9DYuKluX19vm1/MLnuz6YcV+uy9dzL99SQF8ufXLTf2TXOl//Dy5TN94bKz+/dq16ZfdHrfbtu2i9NqM859cQ9pVPQETUx4zOXt7o2dortjJmlSwnS3r7M7Zhel04dyau8uhZcPU4C/v4wx8vf3V8kSJbR/62aXy33yzlsyxuiuIXdaxXPF0i8VEhKi6Jo1M7zfRe++o+iaNWWMkTFGbVq20G9rVuX69q2p+gSDL51MSpiutuW6KCSgUPL/e0eA4ovXSbNjNj7+EdUp2UiBjiAZY5Tfv4BalGmb4aD0tFA6fS83Xd9bgYGB1hwJzpdPL818yuUyFw8fUEhIiKIia2rX71ukMyd1cNd2NW7YQEFBQfpnz06Xy+/a9Iu6dewgPz8/GWNUpVJFvfXKS5leZzsLZ146rfb2iGEqWyDM+n9fLqSCBlQfkeZ23Sv0UWhgURlj5DB+qhkao9ExE92+/t4yv5hd9uSTd95W/vzB1vM3MDBQbVu2zHC5lk2bKiAgQIs+fF9Jp0/owsmj1kUXZ0571OWyFw7t18Qx96hoaKiMMSpYMEQj7hykM3/vydVt47Ra1xkTO0WxxRLlb5L3uwsGFFaH8t3TlMohNe9RxYJVrOdI6eAyuqnqALev/9WeXZROH0rpUslXQBsxdIg++eBdjR9zjwIDA1WoYMEMl+3WqaOMMSpSuLAqV6ooY4wKFSqoHRvWu1zum0WfyN/fX82bNtGCN+bpxWdnqkrlSrr2mtI6uG1rrm7fnOCJGuo/2u0vOk9Mm3Kdk3fWTA0lmvaqZuoqwASpQsEqTsOvRmiM/E2AqphaSjTtFW6iZYxR42taun0brubgY3Z5VkYNuVMOh0PNGjfSgjfm6aXnZqlihXAFBATohy9df7/cgrlzFBgYKH9/f9WIiLD+O6OdtlN7d6lalcoqW6aMZj3xuD54e746d2gvY4wWzp+X4TrbXTjzylHOIZH3KtARpCKmlGJMK8WYlipsSijIL5+GR91n3a5nxRuTd9ZMJSWYtqphGimfKaAS+Urr/vhH3b4d3jC/mF25n71bNikwMEClS5Wy5kinDu1kjFG3jh1dLntk+x8qWaK4jDEKLx+mYsWS31BpULduxjNz6J3y8/Nz2t/Lly+fbuzdK1e3j8KZfiYmPKZyIeEKNPkUYeorwbRXWRMhY4w6lO9u3e7umEkq4B+igiZUUaaZ4kxrFTNl5Gf8dUf14W7fjqs5u3KldF66dEl79uzRX3/9ZSUjDL/czdpvlsrPz0+T7x/ndKrG87OeljFGb7z0fIa/45N33lLDevUUExmpUUPuzPAoQdLRQ+rQ+jrFRkfrwsmj1n3u2bZV+fLl06OTJ+ba9uWVHbDs5P74R1XAP0RhpqbamTutJJjkHejbIoZocmLyO23GGEWbFk63q2QSFOgI8qrT1XJrp43Z5RkJDg5WZM0aaeZIYGCgqlWunOHyOzasV6+uXRRVs4Y6tm2tTT+syHCZV2c/K2OMNv70o9OpbS2bN1Ot+DiXy9pdOPPSUc7EEvUUbAqqtelvzaTrzB0KMvlVt1Rj63algq9RSVNebc1g63YNTC8ZY9Sz4o1u3w5vmF/MrtxP00YNrzhHWjRrqqDAwAyXP7t/ryaNvVexUVGqm5io+S+9kOEyh/78XcHBwXpgwnin/b3ZM5+SMUZ/rFuTK9vGabWuc1PVATLGqLbp7LRPVcZUU6GAItYZZM3LtJG/CVAL08+6TRszUAVNUVUPjXL7dlzN2ZXj0jl37lwVKlRIxYoVU4kSJVSiRAmVLFkyw+UYfrmbuwYNlDFGv6xZ5TSEDu3eIWOM2re+zpb7LV2qlCaNvy/NB+GbN22iXl275Mp9UDhdZ3jU2H8HXyenwdfWDJaf8Vfbcl00OfFxdatwg4wxui7Vzl3qHTdvesctN3bamF2ek8DAQE0cNzbNHGnauJGCg4Ntuc8h/e9QjeoRae7zuaeflMPhSPd77a5G4cxLM++a4LIqZ2o4zaTkHbeqKleggiYnJr+xZoxRlGme5nYhpogalG7q9u3whvnF7Mr9FC9WTFUqV04zR1IK4IVD+3P9Ppd/+n9pim7KRwuMMXpn7is5vg9Oq804Lcu2V6DJ5/RGWPIb/slHukdFT9DkxMcVUSRSJUz5NLOrkolX4cBQt2/H1ZxdOS6dlSpV0ubNm7O8HMMvd/PSvwPu3fmvOw2hb79cLGOMhg3on2aZbet/0soli3V0x5/Wzzb/uFI/fPlFpo5yJh09pJjISPXu0d3pPi+cPKqyZcpoSP87crxdeWnnK7sZEztFDuOnGqaR00Bravomf39hxb6anPjfu3INTE+n28WYVsmf6Y0a5/ZtuVqDj9nlWQkKClSv7t3SzJFrSpdWsaJF09z+6I4/tXLJYv3581rrZ/t/36IVX3yu3b/+kqn7nDL+PhUsWFAnD+5zut9hgwepdKlSV1zmahTOvHSUc3Li46pSOEJFzbVpdsiKmJKq8e9RgIkJjymfX7Aqmjin27Qyt8vfBOi6sh3dvh3eML+YXbmfShUqKH/+/GnmyPA7BysgICDN7S8c2q+fln+ttd8stQrp2f179ePXS7Th+2/TfbMrdbas/kHGGL335htX3N9b9snHOd4uCmfG6RLeWw7jUDNzs9Ncqmbqyd/4Wxd0TChRVwVM4TTltLSpqGvzl3P7dlzN2ZXj0lm3bt1sLcfwy/3kCwpSWLmyWvP9N9KZk/p13WpF1qyhwMAAp6up7dy4QS2bNrE+0FygQAHdftONqhUfZ/0stEgRPT51SoYD8KlHH5afn59efHamzp84omN/79adA/vLGKOfln+do+2hcGY+kaGxCjL5Vcd0UVszWM3MTSpmyii/fwGNi39YkxOTr2wbGlhURUxJNTF91M7cqfqmh/KbgqpYsKrbt+FqDj5ml2clNipKDodDLzzzdJo58uD4+6zbXTi0X/cMH6b8+fNbs6pl0yb6X49uCggIkDFGfn5+6tW1i9ObaVfK9p/XKTAwUP/r1UMHdv6pi/8c04I35ilfvny6b9TINLe/moUzL8293pVuljFG1Uw9tTYD1Nr0VxVTS8YY9alyu3W7+qWbyt8EKN60VVszWC1MP5U2leTvCPC6iwm5a34xu3I/77/+mhwOh3r37O40RwIDA1X22mudbvvxW/MVHvbfBbMqlC+vEYMHqVTJktbPIqtX18olizO830b16qlihQpO+3sx0VGqVqVyjr/mjtNqM/86zucXrBImTM3MzWprBquW6ahAk09xxWpZt7s9Yljy53ZNjFqZO9TGDFRNk7wP3rF8T7dvx9WcXdkunadOndKpU6c0bdo0zZo1S4cPH7Z+durUqQyXZ/jlfpo3amTteBUqWFDGGAUEBKh6tWrWbS4c2q/I6tUVVq6c5s99RWtXfqf7x94rh8OhkiVL6MMFb2n1d8s1ZGDyUbFXnpnp8j4vHNqvfn1usMprYGCgAgIC9Ozjj+VoWw7dMJehl4XcE/uAyvx79cdAky/56p/++XXrv5/nTMnAGiNV8N8r3KbcrkS+0hoZfb/bt+FqDT5ml+fl/TfmOV21NiDAXw6HQ35+ftq16b8jlxPuvVv+/v6aOG6s1v3wvd6Y87LKXHuNAgMDNf3hqVq/aoWen/W0QkOLqF2rVhne79tzXlZwcLD8/f1V8N+Z2altmzRXgLxahTMvvtE2KWG6GpZunnzVbRMgv3+vAtn02uucbjcu/mFVLpR8kY4AEySHcSjAEajrK/dz+zZ4y/xiduV+jv21XcH58snPz09+fn7WG2J+fn564qEHrdutWfaVAgIC1L5Nay374jMtXbxIrVu1lMPhUPs2rbVy2Vf67KMPVLd2LRUuXMhp7l0p239ep4iqyVdDDQ0tknwhwbJltOH7b3O0PZxWm7XcXHWg8vkFW3Mp5erbY2IfdLpd23Jd5DB+8jP+8jfJ++kJJermuW8OyHbpTNkhcDgcVlL+7Ofnl+HyDL/czd4tm+Tv769pU6do3L13q+11rTRi6J2a8/xzyZ/1XPGdko4mv9NmjNEPy79OcypI0aJFde74Yetn3bt0Vo2Iapm6/3XfLNNjUyZr1mPTMn16m6sw9LKeiQmP6caq/dWqbHt1rfC/dL+rc3z8I+pRsa9alm2vGyrf5nVDL6eDj9nleWnRpLEa1q+nBW/MU4d2bdWrRzctW7xIBQsW1IR771bS0UM6vW+3QosU0ei7hjnNru+++kLGGH3+8ULrZ2/9+/2dKXPPVQ5u26rnn5yhRydP1IovPk9zdsfVKpx57bTayzMscozalOusNuU6O121NnUmJUzXbRFD1KpsB3Uq31NjYqe4fb29aX4xu3I/z82YLn9/fy39fJH6/u96tWtznV56dpa6durotP908/+uV6WKFXT+xBFrTp07flhly5TRrTffZP3s6L5dKliwoCaOuSfD+z5/8G8tnD9PD0+coLfnvJzjr0uhcGYv98VNVZfw69WqbHvdXHVgut/BOTL6frUL66rrynbU4Jre+U0Mbj+9NrsYfrmblA+Wb1q72mmH7MjenTLG6O05Lyvp6CE9OnmiihQpkuZD758ufE/GGO3cutn62QvPJF/5NjOfMcjNMPRIRuErU3wrpUuVSnPlbZ05qVYtmqtnl85KOpr8GXRjjBb/34dpvkw9JKSAZjz6cLpzL7u5moUzLx7lzKvhK1N8J0MH9FdkjRppZtfl+0+14uN0x623pLldv5v6ql6d2k4/a9m8mTX3rmaYQSSjuL10Dh48OFM/u1xeHX6n9+3Wpwve1gdvzMvy91ju2vSL3n1trpZ8+IHOH/xbSUcP6fe1q7Xg1TlaMHeOjDF69aXnnYbX5x8vTD6y+e933b31yksyxmjLzz853W7S+PsUUqCATh85YP3s1ptvUvly5a7uAPfhwjkhYZpuqjpAvSvdYl3VjGQvubHTxuzKWi4dOahVX32hBa/OydQRxIzm3vGd2/Xh/Nf10ZtvqFZ8nDq0beM0k84cPagSJYpr1NA7lXT0kE7s2qH8+fNr6uSJTrf7Zc0qGWP0/lv/XVTjs48+cJp72cnVLJzecJRzcM3R6lXpJg2oPiLdd/KJZ8+vvDq7ko5eef8pu3Pv4uEDWv7p/2nBq3M0duQIBQcH+xnjDAAAIABJREFU69DuHU5z6fL9px6dOyk2OlpJp084vWEWUa2qru/ZI83cGz10yFV9fHz5c5z3xD6g6yvdor5V7vC67/T1tLi9dMbHx6f5WVxcXIbL5cXht3D+PBUvVsz67FK+fPn00IT7M1zuwqH9Gjqgv/z9/a1lw8qV1XXNmlp/NsaocKFCKlmihBa+86ZOHtynLz75SBXCw1U7Id56t+30vt0qW+ZaxcfG6oflX+v4/j2a88JzypcvSOXKltWG1T/oyN6dmvHvBYKmPTDJluF2pZ/7cuG8tdqdKhRQ2Pp/5Wf8VK9UY688tdUTkhs7bcyuzGfnxg2qk5jgNG/atWqlIzu2ZWvude3QXgULhvz3Oc7g5M8XT7hvjPb/9ae2/rJO3bt0VmBgoDb/uNL6XYNuu1UFChTQqy89r+P792jlsq8UHVlTQYGBWjB/njX3wsuXd5p72ZlRZ2dcvcLpyUcY7o2dokqFqjr9vy9XoDxvnHnh/MqLsyu9/afvPl+UrbnXuH49Va1cyelnQUGBatGsqbX/9MS0R+Tn5+f0XeVf/vtG2OABd2jX71v012+/asDtt8oYo5v79kkz97as/uGqPUa+elrtpITpyd+R6Qj478KZ/iHqU+U2t6+bt8ZtpXPBggXq2bOnihYtql69ellp3bq1GjZsmOHyeW34bf5xpQIDA9WlYwdtWrtaO7du1t0jhmfqFLBHJ0+Un5+fHnvoQf29Y5tWf7dc9evWkb+/v5587BEd3LVdy5d8pohqVVWgQAGnYZgQG6MdG9Y7/b513yxTpQoVnG7XtFFDpyuo+fn5adBtt+b6d0ydnbFQZ2cs1IXFS51+7osDLyX3xExWkF8+FTNl1MD0UgvTT9VMXRlj1KZcZ7evnzcmJ4OP2ZW1XDpyULXi41Q+LEyLPnxfh/f8pbfnvaqiRUPVo3OnbM+9Zk0b649NP+uPTT/rlr59rAufpcyg0CJF9N68V51+3z97dqp7p45Os6tShXCnK2+nzL2/fvk5W9ubUjiv5lHOOcETPfYoZ7UiNRVkghVnWquluU2Jpr2CTUGVKxDOEU8vm195bXYlHf1v/2na1CnW/lPD+vUUWqSIDv35e6bm3mcffWDNvUKFCio0tIi+WfK5Du7arudnPa3AwEAVDAnJcP9p1mPTnK68XaBAAbW7rpUCAwOd5t77r7921R4fXy2ckxP/+27ySiZezczNamSuV0kTLn9HgIZHjXX7+nlj3FY6169fr7lz56p8+fJ69dVXrXzwwQeZWpm8NvxGDhmskiVK6MzRg2k+s9SoXj2Xy5YrWybNZwH+3rFNgQEBmjljuvWzDf9+d9P0Bx/Q6y/M1nefL0r3nf4Lh/ZryYcf6PUXZltHEs7u36tP3nlL8196Qdt/Xpfrj0FK4Tz75Ic6O2Oh0899ceClpHW5jvI3AWppbnP6jqayJkKhgcXcvn7emJwMPmZX1rLii8+v+FnKF555Wg6Hw+VVFkcOGaxSJUvq7LFDTss2b9pEjRrUt/586dRx1ageoa4d2uvNl1/UwvnzXH5X8KYfVuj1F2bry48+sHbs1iz7KsO5l1HcUTg9+dTau6LGyRijaNPCaXYlmvYyxmhAjRFuX0dvjLvmV16bXUlHDymsXNkr7z8FBuqpRx/O9tzb/cdv1s/uH3uvQkIK6P3XX8tw/+nw9j+SPxL16hzra532btmUqbmX2/Hlwjk58XGVKRCmkibcaXa1Nv0VZILVsHRzt6+fN8btp9ceOHAgW8vlteHXrWMHtWnVMs2HyCfcN0Zlrr0m3eXOH/xbxhi98vyzaZatVqWKRgwd4vSzkJAQPT51itu39/JcWLzU6XS11Ec7fXnoTU58XLVLNlBhUzzNl59HmiYyxsHRgmwkN05PY3ZlLvNfekHGGJ04sNdp1qS8yeXqNLWuHdqnO/fKlimT5oIadWslum073VU411R7wmPnX79qg5NPKTQ3OM2uluY2GWPUq9JNbl9Hb4y75ldem10p+08vz34mzQyqHlFNdw0emO259/3XS9JciDG7Z1e4Y9YlHfX9Cwfl9w9RVVMnzb5XcVNWkUVj3b5+3hi3lc6ePXs6ndpxeTKS14bf2JEjFBpaxGmAJZ0+oQb16qpl0yYul61csaL6XN/LafDt2LJJxhhd37O7unbqqGGDB+nzfz8zcGPv3urcvp3GjLhL/+zZqbP79+r911/TjIce1GfvLcjSFwfv++1XPf/kDD097RGnz1ZlJZcXznMvf2kd7fT1wjk58XG1C+sqh/FTc3Oz0+C7xlT+f/bOOzyqamvj65TpNX2STHrvPaQHQiBACEnondAh9NBbCCCKEOkqza5Yr9gb6LX7ee3dq4JYkRKihCIKvN8fZ+aQk5k0iHcITJ7nfXxysvc5+wyzf661915rwU3h6fDxdUZdCfic7GqfPnjtFRAR9j68R8KgjevWgud5/PbNV61yr+HYYQn3uqSlIjkpEUMGDsDQQQPx+r4XERQYiO55eRjQrwQjhwzCZ+8ISTve+/d+bLxpDe66bZu4M9AWtYd7jnI4rbuc07mrM31+VdxyMMQgmvIk7EqkniAiVEbPc/gYO6Mcxa/rjV0X648jNNi+/cSyLG7fUHtZ3GNZFuPGjEJZSV9s3VCL2dMrodfrMWbYUJT1LcYDu3bgYr1gP+3YtOGy7KfL5V5LstpiVl2tJyw6Sn6aILiSL3rRVJFdhTQePMlt6gA71TY5zOm0HumYOnUqUlNTsWnTJmzatAnp6emYN29eq/2vN/gd/ORDaDQa5OVk45UXnsX7b72OMSOFOKZnHn6wxb631q4DEWHurBn49L3/wzOPP4qw0BDwlsB4hUJIwsFzHFiWlVyTyWRirKY13jM+JqZNtTRv31ALmUwGjuMglwtFb6eOH9cup9Wew9kZVvg7UgsTVkPNaaAnd6RSMbJpMAIpHkSEfgGDHD6+zqgrAZ+TXe1Xt9wcuLu74a6dt+Orj9/H5tp1UKvVqBg+rN3cGz1CiLNhiMBxnCTBBxFBxvNgGQZEBH8/s8gzhmGg1Wrw5J77Wx3vZ2+/CX+zWcK9hNhYu9xzpMPZGRgY55IEnmSIplzk0jDEUjfISYkQXbjDx9ZZ5Sh+XY/suu2W9RL76dm9jyEuNgYmLy/88WPLn4OVe3fv2i5yrzGzrHaR9XeGYcT4TKPBcFn205nDP6OsuM9lca8lWRn358YnLi12XeXsuVINDakQEp9RJLJoENKoH1zIG3JWgTlxyxw+vs4ohx+vLSgowJkzZ8Tfz5w5g+7du7fa73qE36vPPIWQoCDRuHJzdcXOzRtb7XfhxDGsWrpYku1RLpdDr9Ph+Scfx8UzJ/HdF58gK6MLOI7Dc3sfA8424KP/ewsqlQpRkRH47P13cfHMSbz58ksw+/qiR7euLT7zvX/vBxFhysTxOPHrj/jz9+PYtP5mEBF2bNrQpvdtyeHsLAZXR2lKVBU8ld6X/v1YBQp9+ziP1l6mOuJ4mpNdbdexA9+gb1FP8fvLcRzGDBuK07/+1G7uqZRKEBGqlyzCqeO/oeHYYSxdOB9EhD69euLP34+j7pcfkBgfB5lMhj1334nzp37HLwe+QVlJXyiVSvzSTAbsi/VCOYOwkGDEx8W2yj1HOpwiA6/SXU6rliSuQZxLEhhixH/DCEMMFiascvjYOqscxa/rkV0XThzD6qVLJPZTYlwcPn3rjXZzj2EY8ByH3OwsHPjyU1w8cxLP7n0MWq0GWo0Gh7//Dn831GP1iuU29tNmy+ZBa/bTojmzoVAo8OA9d7WLey3JHuOuF9ur2L8/lOyl5E2ucneMi5jm8HF1Vjnc6QwPD8eFCxfE38+fP4/w8PBW+12P8LtYLxhE7/17P9584TmcOfxzu/r+/sP3eO3Zp7Fv77/AMAxqb1ojOfbx3RefgIgwfcok4GwDXnnhWZvYA5xtwP137gYR4cDHHzT7rMljK+Dv54fzp36X9C3tW4y05KRWx9qaw2nVncrqq97o6iitSF6PKVFVGBsxDYsTb3D4eDqzOsJoc7Kr/Tr4yYd49Zmn2m38NOael4cHUlOSbWKsEuPj4ePtLR7BdXdzs4lZrz/8E1QqVYulnF621CZ++9/77XLv4CcfCmNysMNZN/Leq/pobVNVxS1HRfhUzI5d4vCxdHY5il/XM7us9tOnb73R7kRjVu6NHDwIDMPg0NdfSNiydvVKsCyLw99/B5xtwNRJE2D29Wm3/XThxLHL5l5zao5x18NOp1VLk27CuIhpmBQ121mm7grlcKdz0qRJKCoqwp49e7Bnzx707t0bkyZNarXf9Qy/K9Xrzz0DIsLzTz4uAdPFMyehVCjQr7gPcLYBD9x1h/AZ//azpN3H774tOKMvPt/sM8qK+6BnYYGNYbhkwTyYfX1ah1wba9xdT7udTnWcOsJoc7LLMdLrdBg3ZpQNW0aPGAaDQQ+cbcDfDfUgIuy6batNu7DQEMyunNLs/e/fuV34bhz5xS733n7pBYc7nE72Xd9yFL+c7Loy9S7sDrVajYtnTkrY8szjj4KI8H+vvQKcbUBZSV/06G5rPy1dOL9F++nc0cOXzb2mEuM3m2GcddHL0XPBqc4lhzudf/31F7Zs2YL+/fujvLwc27Ztw19//dVqv+sVfp+8+TqWzZ+L+TNnYN8Tj9tdcfvr2G9YW1ONtOQk5GZl2tRsOvXLj5DJZJg8YZwESi9YVvgHDyhH1czpWLpwHogI2zbWYnPtOlTNnI5dt23F4vlzoVQqUff9d5L77n9yL7rl5SIlMQF5WZlQq9U4+uNB8f5/N9QjLjYG/Xr3ahV0bTW8jm97CmP4vkhkUtDbr6zZI1tVcctR6FuMTM88DAgagWVJazEzdhG6+RQh0ysfQ0PGOlewriN1hNHmZFf7dPzgt9i09kbMmTYVOzdvxMmfDtlt15gjS6rm4M8jv0r+HhkeBi9PD5w5cVRky6njv8Hd3Q0B/v6YP2cWqpcsQlBQIIp6FOLxh/Zg7qwZWL1iOZ57QkiWdu/22yT3/PnLzzByyCAkJySgR7euICLcs3uHhI8rli6GSqXC8Xff7hCH8+zOl/Bc1c2oKhqMpSWj8OHKXXbb/XH7c7h7wmLM6jEQNw6ciEO1D+PQkB3oRoWtcs+pa1OO4tf1yq6/jv2Gx++/F1XTK7Fq6WJ899H7dtv9+vUXIkcG9CvBtx++J/n7zStrQER4+flnJGwZXzEaMpkMy5cswtxZMzBs8CAoFAq8+tJzWL54IRZUzcaLTz+B2JhoG/upqb0X6O+P4l5FEsf2s/fftcu95tQ0ftOevrzxXnShrBbtpxXJ6zE+YjpyTAXIMRVgQuRMVCevw6iwScjy6op87x7OZGLXmRzudF7uz/UIv+ULBCfQzc0VZl9fIZFM714So+z3Hw7Cy1NI/GPy8oJBrwcRoWtujuReuZkZICJMnjAOLzy1FxtuvgkGvV4MaA8LCYGM58FZkgvJeB5hISFgWRY8z6NixHDJ/YYO6A8igkajhtnXR0hMxPOIjozEvXfsxN6H96CwoBs4jmu2REJ7Hc6PVu6Gt94VLDEI1nmBZzmoOBXGR0yXfMmHBI8Bx/DgiIeGMYCIoOV1QtIRkkNNwmdk1gQ4j61eJ+oIo83Jrrbr9eeegUGvh0wmQ3hYKFiWha+PN758V5qR0R5HDHo9fvz8U7HN3gfuBcuySE9NwSP334uH7r0bqclJYhI0Xx9vuBiNYgwVESEwwB9arQYMw8DLw0MSmvDknvshl8nAMAyCAgPBcxw4loVKpcLqFcvx0jNPYt7smeA4DlXjKjrE4Tx5+3PoHddFGK/WFa5KLYgIK0orJO0OrHsQwR4C6/WcETzDQ87JoGVVIGKgZYxgiYWCVWJ8xAyHzyunrm1+XY/sqj90EBlpqSAiBAUGQKfTgWVZm9jKJ/fcD1kTjvAchx0bL7X769hvUCmVMBoM2LhuLV54ai8mjqsQ4wV1Oi0C/P0kyYVcXVzg6yPkc2BZFq889YR4v+bsPSKhMsGzex/D9q2bYfb1RXhoSJtCstrCty0jZoJlWGh5JcwaNyFpmzZQYj9VJ69DolsaiAhKUkNBQkI2vUxgs4q0kJMQn9/Np8jhc8qpzsGuy3Y6N23aBACYN28e5s+fb6PWfq43+P37mSdBRFi5fCn+OnkCF8+cxOMPPQCe57FuVY3YrqigABzH4YlHHsTFMydx7o86rFi6GESEW2vXi+28PDygkMshk/GiccaxLIICA/H9158DZxtw+PvvkJGeBrVKhV8OfAOcbcCBLz9FRHiYJK7gRcvRkMrJE8Xdh1dfeh5KpRJ6nU6EYFREeLOZdtvrcP65ax8S/UIR42rG18NrcXbyPfh+1GZkeIXBRe6C5ck3oyalFgsSVoFnZDBRCAppAnpTJbJpMOSkgor06EmT0JsqkU6l4EmGDM9ch09Kp65u8DnZ1T6dO3oYPt4m5OVk47dDB0SOREVG2OXI1EkTJBxRq9VIjIsV200ZN1YwWlRKkS0KhRwMw0i4V71kkcC9TRuAsw04XXcEk8aPBcuy4k7F+bqj0Go0iIwIl3AvPTUFLMtCaUlaZNDrsWTKZJxe/1iHHKld3X8cZCyHR4pm4cyku/HHhDuwJLkURIRXF20W2/WJy4CG1SGHhojp+j0pEAwxyKbB6E2VKKAKuJAJeplR5J5T17Ycxa/rjV0X64+jcsJ46PV6vL7vBZEjkyeMA8uy4k7m+bqj0Gm1NhzJ7JIOhVwuOnsHPv5AWFRTq8UFMWu22ikTxzfhngoZXdJFe+9fD97fJnvPyj03V1fRtivpVSRZuGtObXE4P7vhbjAMg8nR3XFi/C6cnXwPXixZBA2vlNhP5YFClvFY6opeNBW9aIqltjghiBLRi6aiiCYjlASHflyTzQKnrk05zOncvn07AKCmpsauWvu53uA3btQIhIWG2MQCDB8yCHHR0WI7jVqNkcOGStpcOP0H/P38EBkeJgHfbZs3ouHYYby273nse+YpEBGe/tcjkr7vvfkaiAj7n3tavPb4Qw+AiMS6UblZmdBptThbf0zSd/6cWeB5Hof/+yUOffpxs8H37XU4z+3ejw9X7gIR4fFec3B28j2i3ihfASLC6LDJqEmpRYn/QDDEoIAqJHXioigHDDGiI9qbKhFEiVByKodPSqeubvA52dU+Pf/YIyAifPR/b0n4sPfhPRKO5GVn2eXIgqrZ4HlevJ+Hmxvyc3Nw4fQfeO/N1/HB228gKjICo4YPs+FeYIA/Jo0fK147XXcEer0eq5YuxsX649h7/70tcm/VksU48PEHOPXxBx0awxnh5YeR4TkSdp2edBcC9R6YkN8X53bvx+FNj4MhBjGUL2FXNxoNIkIcFYjXMmmAhHtOXdtyFL+uN3ZdOHEMer0OSxbMk/DBypGVSxa1iSNra6pxsf44Rg0dAoZh8NuhA/jhmy/x2r7nsXj+XBj0ervcc3ExSq4NGzwQ8TEx4vjUapVd7vn7+SEyLAwHP/kQxw9+2+p7irU328C3pSWj4KLQoN7icFo1J6EPNLxa/I4G68LgRr4SdvWmShjJBA8KEH/vRVOhJj1S3TMdPq+currZBTiP1/7P1L+kLwq65tsEhy+aVyUJLFfI5Vi6cL5Nu9zsLJh9hHZvPC9kpX3m8UfFv7+x/0UQET75zzuSfkd+OAgiwqMP3Cde++DtN8SEGhfrjyMhNhbBQYE2z9y28RYQUYt1pS7H4Ty3ez9eWbgRRIT3Bt4gAd+hUVuEuNTg0ahJqUWhbzF4kkmK+/amSiRTL+FYB40Rr0VTLhhinGVIrgM5j9f+77Rn904QEep++UHCh/Zy5K9jv+FivZBIaMzI4ZI23iaTXe7l5WRjUP9yybXgoEDMmTYVF+uPY5uljFNz3KuaVnmJUx2YNMikd8Gi5H4Sdp2dfA9yvCMwMDUf53bvx3/X3g8iQgoVS9jVi6aAJQ6RlC1eK6AKCfecurblPF77v9Ffx34DEeH2LZts2BISHCQm5rm1Vqjl+fG7b0vaHP1R4Ii1XXHPHlAplbhw+g+xzczKqQgLCbHLPYZhJBsNC+fOgZ/ZVxyfXC7HskULbPrmZGXCr5WEjVa1dzGtsqAM4S7eNuzakD1SYj95q8zwpUgbp9ObwmAkk+SaK3kjxiXR4fPKqaufXVfsdIaEhGDKlCl47LHHcOLEiTb3u97gd8ua1ZDJZDj41WeS1baQ4CAM7V8utvPz9UVIcJAkycZ3X3wCjuNQXtJXgMyRX6GQy1FaUoybVq/EoP7lmDJxPBQKBebOmiGBV+1Na8CyLH769mvx2qxpldDrdWj4+QdcrD+O2ZVTJJnXcLYB50/9ji5pqTAaDM2+0+U6nOd278exrU9CI1didnxvCfhuzBgClmFRFbccNSm1GBcxHUSEJCqSrKx5URCUpBGd0SKaAiN5wV8TdFkTaU7cMkQZ46CXGeCu9ESx/wCHT26n/jnwOdnVdn3/yUdgWRYb162VsGX29GmXxZGkhHjodTrcuf02jBw2FCOHDUVqchKCAgMl3Pv284/BcZzkuW++/BKISEyu9vOXn4HjOMybPVMytvU33gCGYfDu/pcuZaptIalGe9U/JRdhRpNkt+DzoevAMSw2DJuGc7v348zOF+Fj9IA3hUoWzRKoB4gIWTRQvBZBmWCIEbnXHlUnrUO+d0+4KtxgkLkg2T0dixKcse1XsxzFr+uNXRfrjyMzLQ05WZmS8iVvvbIPRITH7r1bwhF79hNDhHf2vYiL9cexc7OwWL7+xjWYMXUKBvUvx/Chg+1yLz01RVIaymrvDRvQXxyb2ccHIcFBkl1SK/cG9Ctp9d0u5/TGA5OXgYjwenm1yK6GiXcizTMEgdpg8Tua4ZkLOanQncaJnOpOY8GRDIGUIF7LoxFgiEFvv7LLmgsjQifCR22GXmZAoDYEEyNnOXx+OvXPseuKnc4DBw5gx44dGDRoELy8vJCamorFixe32u96g9+JQwcQFBAAb5MJa1ZWY+uGWsTHxUKtVuPjN14T2z14xy6wLIvYmGhs23gLbqiphoe7O5QKheRM/4DSEnAcB4Vcjq55uTB5eYnxUcMGD8KdO27DxHEVYBhGOL8/YRzu3HEbhg4SjnHdtKJavNepX36ETquFTqfF8sULsX3rZmSkp4FhGNy8ssbu+1yJw2nVilJhdX9IaCZ25I/HuMh8sMQgnk8Wv+ArktcjVB8JjngEUQJiqSs8yF+IdSAOIZSKGMqHgYT3L/Ef1O5JNClyNjjiQMTAhbyhJCEpSJAu1OET3Kl/BnxOdrVPkyrGgOM4TBo/VsKRG6uXt8iRzC7pNhx59ZmnxCQbiQnxSIiPE5NsxERFidxzd3cDz3HI7JKOHds2Y+nC+TAYDEhPSRZ3TS/WH0dBfp5d7sVGR/1jpVHerb4dKpkCCe7+2Jg9CjVpA2BSGxHi4YNjW58U2+0aOx9EBE8KQCx1RSDFgyUhYZI3hSKOusGPokFE8FGZ2z0PqpPWwVUuJALRkBEG8gQRQc4qMDeu2uHz1Kmri1/XI7te+NejYFkWOVmZ2LFtM5YtWgCDwYC05CQJR7rn59vlSOPwp/N1R6Gz5LnwNpmQn5sDuVwGnuehUattuOfm6oobV61o1t57YNcOsCyLuNiYFu09e7pcrp3a/gKS/EPhotBgcXIptuZWoItnKFiGlRzvnx27BCpODQ0ZEEnZiKQsqEkPhhioyYhoykUYpUNGSnDEY2F8+zNwZ3sJmcZ5UsCVfMASD4YY9Atovx3nVOdgV4cdr/3888+xceNGBAYGwmw2t9r+eoTfj59/ihGDBkKhUIBhGPTo1hXvvvySTbvdWzbD3c1VNMSCAwPw/qsvS9oU5OUiLDRELEb8d0M9Jo6rAMuy8PcTsqf5+HgjMjwcKqUS3iYTiAihwUG4fUOtTXzmgY8/QHREhGgMGvR6MY6hqTrC4Ty3W0gmtHnEDAS5C5ndfI1umO5ejEqaLfmSL026CVleXaFkVcLYLNnT9OQBjoRESjpyB0cyuCk82j2JjHJXyEmJPBoh7qSGWILjhwZXOHySO9Xx4HOyq336+/gR3LBsKXy8r5wjt92yHizLSuoMP/P4o2AYBoEBAWAYBgqFAhnpQubEyPAwEBG0Wg2mjh+HE4cOSO53vu4oBpeXiUmD5HI5igoKcOaTD//RWpxvLNmKbpFJQiIkXobhGYX4vvYhm3b3TVqKSFMAiAhGlQ4MMVCSFioSjFcFaaAhI4iYdu9Q5pm6i/Gh1t3UDOoPllgEakMcPk+durr4dT2y62K94HhaM9hqtRpMGTfWLkeG9C+34Ujj6gK/fPU5ZDIZpkwcj78b6oGzDfjlwDcICgyE0WCAVissWCclxEOn1SIkKLBN9p41aVBz9l5TXSnXftu8FxPy+0IjF97Vh/FBKdme7poWPR8RhhgwxIIhFkpODSJGXNxiiRMX/At8erdrDsxPqAFDDLwoSEwIWUjjYCBP8IwM1UnOEnhXoxzudI4cORIRERHo168ftmzZgi+++KJN/a5X+Fnh1niFrTmdOfyz3XZHvv0aRIS7d22XHAWp++UHcByHHds2ixnTvvjwPSH+8+EHce7o4TaNraW03B3lcNpbfftz1z6c270fdyqrMVO90ObLviJ5PZYn3wxftT9kpEARTbFkUJuC3lSJUEoFQ0y7JtDypLUgIoRTF0mMQhFNBk8yBDQ6buLU1aOOMNqc7Gq/Lpw4dsUc6ZqTjT5FPW3imHoUdENhQTf83VCPC6f/wMUzJxEdFYmK4cPw17Hfmk1k1linfvkR5+uO/mM7nPZ0eseLOLvzpTYx7vbMySAipFM/kTO9aCpyaIgQo+7dvtIDRrkLtORqE3flS5HgSebweerU1cWv65ldF+uPt5sjTa9vW78OMpkM9Yd/krBr9+3bQEQ4/vMh0RldsXQxNBoN/j5+5IrsvcZqT8LIjaZSAAAgAElEQVSgti78n97xIs7t3o/pTFWz39fq5HWoTl4Hjnj4UYwY0iRktZ0KDRngqnBv1xzIMRWAiJBHwyXsSqW+zgX/q1gOdzqTkpKQkJCABQsWYN++ffjzzz/b1O96h9+V6IfPPgERYe/DeyTgO/dHHRQKBTatv1m89vN3/5XELlyJ/imHs6nuVFa3CECTygdK0tokF4qkbBBRu1bIlibdCCJCNOU1SfYxFXJSw0ft5/BJ7lTHg8/JLsepS2oKhg8ZbON0Dh7QH9mZGZJrWRldMKS8rF33/186nO3VQs8BlnjOQRLedLVktM326tqueaCT6eFC3jZOZyAlgCPO4fPUqauLX052XZlqb1gFlUqFv06ekHDq0QfuAxGJpelwtgEb160Fx3FtcnLbon+aaS3ZXFaxxCGYkmx4YyBPGGQu7ZoD6R6CvVZAYyX3yiCh1nNZwFCHz1OnOp5dHXK8tq6uDo8++iimTp2KsLAwFBYWttrnWoPf0w/tQVlxH2SmpWHaxAn45oP/2LQ5d/QwdmzagMKu+cjJyMCqpYvx1X/eQb8+veFiNMLVxYjS4j44+t1/W3zWhRPHEBkehp7dCyTB8bdu2gAiwucf/Ee8tnj+XCgUilbv2SbgXaHD+fmauzGlWym6BEWhNCkbT82+sUXH095uZ01KLfK9e4KIkEp9RVD1pIlQkwEcw0PFqaFglQjWhWFqVBV6mksQoAlGgDYYvcylWJJ0o+R+KlYNHbmJRzyE7Li9QUQwawLgq/ZHpDEWI0InYHLUHCS6psJX7Y84lySMi5iOivCpiHVJhL8mAElu6ZgSZQvv6uR16B80HKH6CJjVAcgxFWBuvDPmylHgc7Lrkv77/ruYNnECMtPSUN63GM8+8pDddq89+zSG9i9HRloqxo4cgY9efxXVC+bDx2SC0WBAXHQ09j3xr1aft2z+XGi1Wvzw3y9FTn3/9edQKhVYNK9KvPb+W6+DYRjs3rq5ze/yTzmcJ259GjcPnoLc8HjkhSegdmgl6m99pt33eTl4NRhi4UuRkkWzYBKO6Wp5HRSsAm4KDwwKGoVhIeMQYYiBr9of6R45mBm7SDIP4lyEftaan9ZkH3JSQsNrJdybE7cUXb17wk8TiGBdGPoFDMLM2MXI9uqKAG0gwg1RGBg00m72b3vcczQDOrMcxa9rjV0NP/+AW9asRn52FrrmZGPDjTeIic0a66cvPsP8mTOQlZ6OPj0KsWf3Trzwr0cQGx0Fo8EAH28TVi5e2OrzPnnzdRARdmzbLHLq74Z6dMvPQ2BAgJip9nTdEcTGRKNX9+4d8p5XyrS9M29Av8RsZARHobKgDF/eeK9dp7M1x9NF7gYFqVHYKLlQFg0EEUHNaaBgldDwGnTxyMG0qPlI88iS2E+N7zUlqkoI1aBUyWK/N4WBIRZh+iiRe9NjFtrYT7Nil6Cv/0AE68MQoA1CgU8vLEywjStdkLDShnvOesiOY9cVO53nz5/HG2+8gerqamRlZcHV1RWlpaWt9ruW4Fe9UEgWkZqchFHDh8HTwwM6nRb/t//S+f2/jv2GPj0KwTAMigq7Y2B5GVQqFWQyGTiWRUlxb5QU9wbHcdDrdPjtm69afOa6lTVgGAbxsbFYsXQxBpaXicWKc7OzsHL5UvTqUQgiQk0bYNqSOmKH87XFW6CRK+GlNmB4WBaSPAKFsZVVNOt0Tmeq7Dqey5PWQsWpwRADX4pACKVYkv8I7+9OfjBRMFhLHAJDDDwpyFKUnYWv2l/iePYLGAQiBmrSI4RS4EPhYIgBQwzkpIIvRcBAHpbkRUI7X4qAloxi8qYIow9GhufAV+MKnuEwInS8eP8VyeuR6CrEk7iSD7wpDDzJoeF1mBm72OEQ6YzqCKPNya7jeGffi9BqNfDy9MSo4cOQkiQ4Mdb6dVbtsCxoRUVGYMzI4Qjw9wfLCglxkhITMGr4MLi5uoLjONyxbUuLzzz48QdQq1QwGgyYM2MaZk2rhEGvB8/zMHl5YeHcOZgycTw0Gg1SkxJbPO7fWP+Uw1m37WmkBIRDxnLoG5iM4oBE8CyHLkFR7XY83w/fgHCKBBHBhbwRSmlwJz+RIxoywpcioCCNeM1AnvChcChIBTmrkGR3nJ9QA56RgyUe/hSDIEqCnFRgiAE14R7PyMASBxOFiM/kGR46mQpDQjOR6SXEzjattzc0pAIssTbcKw0Y4nAOdFY5il/XErsafv4BaclJkMlk6FfcB/2K+4DneXRJTZE4nv99/114enjAaDRg+JDByM3OEv5fzjBwdXXFqOHDkBgfLxxvz8tt9bmJcXFgGAaD+pdjxdLFiI2OBsMwYFkWFSNHYNmiBQgNCYZarcZ/Xtl3xe95pUxbWjIKRIRkjyAMD8uCp1oPnUKFt5Zus+t4tvS9HRU6EQyxUJAawZQEP4oRbSyOZPCmMLiQycIuBgpSw4fCRfupwKeX5H7+miAQETzIH6GUBiN52eUeS5yN/cQzPBgi9DDHoTwoFUpODg+lB+YnrBTvPze+Gka5KzjiJdwLN0SjOtkZM+oIdl2x0+nq6oq8vDysXLkSb731Fs6fP9+mftcK/A58/AEYhkH1kkXiylfDscNITkxEZlqa2O7BO3aBiCTJM7774hPotFqMGDpEvPbem6+B4zj069O7xeempyQjMjwMRYXd4eXliYT4OBT16A6GYZCRmgovT09kpKXivh23X9Hxjo46UpsaEIEUz2AcH7dTTNO9IKkELMPiu3V7mnU8m9vtXJiwCsG6MPAMD5Y4yBi5ze5nHo0ARzL4ULikCDtDLHqZSyX3GxA0AjreAJZY8CSDnFXAQB7oQRMb7UYkW2IQLiUc8qEIyBgOR8dux9nJ9+CPCXegu28sXBWuItTGhldakn10k9TlU5EOsc7aVg4Bn5NdlziSmpyEU8d/Exm0bNECsCyL7z/5CBfrj6P+0EFoNBqMrxgt1qc790cdehZ2h4uLi3jaouHYYSTGx8Gg17f4zHWraiCTyTBk4AD4mc3w9/PDkIH9wXEc0lKS4eNtQkhQEBZXzWnzZ/xPHqm9ceBEyDke7wxYJbLrjfIV4FkOtUMr2+10TufmItfUHUpWBZZYC7sY+FF0oxJQk+FGZshIgV6WmPUeNAF68oBZEyiZC7Nil8BX7Q+OBBaqOQ0YYiS7n5k0AEQMQhrtKiRTHxARduZPEN9rc45wzHdi5EzUpNRiefLN0PJ6eFIgimiyyD1fioCcVWBJ4hqHs6AzylH8upbYtX71Ssjlcnzw9hsS+4nnedyyZrXYbkC/EgQFBuLojwfFdtu3bgYR4ZUXnhWvLV04HwwR3nrx+WafeeDjD0BE6N2zBxLi4+Dl5YmiHoUIDw1FgJ8fIsPDYPLywuDyUnz0+qtX9H4dEb/51U33gmEYLEspE+f40bHbkegegIzg6HY7nTUptRgVOhmucjewxIEjHhxxUJEW3Rsdk42mPEvseql4LYSSwRCDOXHLxHtVJ61DsnsXyBkFWGKhYJWW3c80sV8PmgAtuUJNBon9pCA1cr0jJCWrdDIVsrzyxfune2RDTkrk00gb7g0OHuNwDnRGOdzpPHXq1GX1u1bgt2ntjZDL5Thdd0Ryxv/+O3eDiMQdy6H9y5HWqGaTVdMmT0JwUJDkWkmxcNy2uWf+8tXnICI8dO/dkn4Nxw6D53lsXXdzh7xbRzmc39c+BCLCfYWVkpqcx8btAM9y2DxiRrNOZ3O7nU2llxlgIE+bWAN/ipHAqjdVwpMCW0wQVBW3HESEROop6deDJoAhRhL/mUfDhZjZotnie73QdxGICJOj5qAmpRaZnnlQ2YlBDacu4Bje7nE2p/5Z8DnZdRy/fv0FiAgP3nOXDUdkMhm23LwWF+uP47F77wYR4dDXX0javfrS8yAiidFn5d5n77zZ7HOzu3RB/9J+NizsV9wH+dlZl/Uu57/6/B+Ld8oIjkZZUKpNMfXigETkhSdcltPZ+Luc5SmUauhKoyR8SKdSm/jPeBKy1TZezW8qs9ofJgqxYaEHBcCVfCXX9OSG4WFZ4judmngX3JQ65Jq6oyalFuMjZoCIkEH9Jf2s3BsWMs7hLOiMchS/rhV2Xaw/jpyMDLscKe1bjLysTIELdUfB8zzW33iDpM35U7/Dy9MTC+fOkXCP4zgMKitt9pmb1t4IhUJhY+/dd+cuib13peqIcKZzu/ejdmglFJwMdY0W+89Ovgd3dpsEIsLPGx+zcTrb4nhatcySiDGSsprkxJgCOSkRTMlN7CcWxf79m71fkbkfOOIloU6NudfYsQ2nLlCwMpyZdLf4XpOiC+CuvJTQSMcbJDVFL3HPHfGuKQ7nQGeUw53Oy/25VuC38aY1diG05+47QUQ4/N8vcbH+OIaUl6FLWqoNIGdMnYKgwEApNEv6tuh0/vzlZyAiPHzfPZJ+p47/JjEWr0QdmTTo4HrB6by/cJoEfMfH7QTPctg03L7TaXU82+p0GsnLjtMZCzXpmzidQQjQNO90zolbZnE6i5o4nRPtOJ0jbJzOl0oWS5zODM88qEhnx+nMcDqdDgKfk13NL16drjti1+lsHIOJsw14fd8LICK8/9brNtz79K3Xm31uVno6BpaX2bCwrKSvaCy2R/904qCM4Gj0D06zcTr7BiYjNzz+ip3OTM88i9M5ug1OpxAyMT++ptm50ZzT6UmBcCWfJglA3DGskdN5etJdcFfqkWMqQE1KLcZHTAcRIZMGNHE6R1iczrEOZ0FnlKP4da2w62K9sHg1oKzUhiPl/UqQm5khsMHidNbetEbS5sLpP2Dy8sSCqtkS7vE8j4Gl/Zp9ptXeO3PiqOR+D9x1R4c5nR3lcJ7bvR/rh0yFkpfhxPhdEnbdVTAFRISfNjxq0+fynM7sJk7nVMhJJUk6JNhPLPr4lTd7v+adzkKbpEPhlAE5y0uczskx3dvodHo4nU4HscvpdF6hvrWUJFm9YrkEXmkpyeiSmiK2u3/ndhAR9j37lCR5hl6nw8hGx2s/+r+3wLEs/M2+4nGN5Qvm4YGdOxDg5welQgG1WgUXoxFd0lIl8KtZtgQMw+DgJx9eNdA7t1tIy53kF4p0rxAJ/JamCHGo39z8QMtGWht2O1PcM0BE8KFwaMgIFengTWFgiZccr82iQWCJRZG5n6R/T3MJZIzcEgfKgGdkMJJJAr9QS+1OnhRgiQNPCmhJiOE8UnE7zk6+Bycn3IGefvFwUbiIx2vHhAuAj6fukmQfatIjxpjgcIh0Rjmdzo5RSmICuqSlShbNVi5fKuHIiUMHoFarMXnCODFRxt8N9ejTqwguRqN4vPZ03REkJcRDoVAgNioKfmZfjBg0EC8/uRc5mRlQq1RQKpXwcHeDXC7HJ/95R8I9mUyG2htWtWv8/4tMtTf0Hw8FJ8N7A28Q2fXOgFWQsRzWDZ7SPoeTqbJxOmfFCItUbmSGkUxQkgZuZIaePJocr50IA3nCrPaX9K+Mng+9zAiWWCE8wBJykENDJNxjiIHMwi6WeGhJqA24s+ul47W35Y0FEWFC5AzUpAjHazW8Dl4UJJam6kVTYaZIyFkFFie2r66oU47l17XErrU11c1yZP3qlWK7suI+CAkKQt0vP4jt7th+K4gILz//jMR+IiKkJiXC7OuDnIwM7Nm9E9MnTYDRYIBCoYCLUYhnvqGmWrLY39Teu1psry/W3CPE6KcNlCz2J3sEoUtQlN0+7XE6a1JqheRnpIYXBUNJWujIDSYKsTleay1pNzt2idh3eeLNCNGFgyNO5BeRtIRdD5oo1mG3hhAoSQsZKZDrHSm+11fDaqGXq5HpmSfeP9UjE3JSSU6RWEuyDAoe5XAOdEY5nc6rQIur5girwV3SMb5iNLxNJmg0GklswB8/fg+jwQCGYVDcqwjDhwyGSqkEz/PgOA4DykvRv6wfOI4Dz/PwNplQNXM6xleMhkIuB8eyCPD3w8K5czBs8CCwLAuO4+Dj7Y3xFaPFQurL5s+9onf5p8qivLJwI1QyBXy0LqiIzEOalwClpSWjWu3blt3O+QkrLcYUBzNFIZASICOlmFDDRCHwomCwxMFbZZbEIuWbeoKIgYq0CKYkeFOoGAivJA3MFGUT4B5CKXAlX/FarKsfxkXmI0DnAY5hJTsAK5LXi1km3ckMX4qAjBRQcxrMiGl9F9epjgefk12C3nj+WajVahuOLJ0n5UjfIiFjdEx0FCaOq0CAv5+YuCw9LRXjK0bDw90dLMtCxvMYMXQwFlTNRoC/P3ieg0KhwISxYzBnxjS4urqC53nI5XIMLC/DgLJSyOVypCQm4ORPh9o89v9VaZTj255CgjkECk6G8uA0lAWlQs7xSAkIx4lbn26f09nE4bTKQ+llcTx9EUIp0FsSbwgJh0wwUySUpIGMkWN8xAyx35y45RZj7RL3eFKAIUZMGuRFwWKyDxkpEUgJMFOkuMCm45QYFZ6DXO8oEBGS3NIlpy8GB48GQww0ZIAfRUNncVZLAgY5nAOdVU6n88r1x4/fIyk+rlWOPHrPneB5HgaDHmNGDkfXvFwxkZCnhzvGV4xGWkqKON8y0tOwbNECFBZ0E69179YVyxYtQGpKsnitJXvvctTRDqdVC/oMAxGhi1coKiLzYNIYoZEr8friLc06ne1xPHv69rPYSo3tJ+H/DXJSS+ynfO8ekr5GuYu44BZCKWLCoabcs97Pm8IQREmSa338EzE4NAMqTg43hRvmxa8Q718Vtxx6mRE8yeBDYfAgfzDEIFQf6cxg6yB2OZ3ODtCFE8fw+P33orhnD6QkJmBSxRh89Z93JG12bdkkHIuaMxt5OdnokpaKubNmwN3NDX6+vjAa9DAa9DD7+MDH2xvHfvpeXEnrkpaK6MhIyW7E4w89IBh8KSlISUxAcc8e2PvAvVf0Hv90Hc6PV92BcXl9kOwfhj7xGXhs+qq2G2ut7HaW+A+0HEUb2CTYXAWzxh9mtT/M6gD08C3G4ibJLzjioCVXya5mEhUJTqLCEyaVL4K0YZad1AjJMdkgSgARgyBtCMwaM+JdUzAparbN+KqT16EscAiCtKHwVpmR6ZUvCah36n8LPie7LunLd9/BxDGjm+XIkW+/hlwux7DBAzGgrBQpyUkYNXwoehYWQK1Ww9PDA3qdDn6+wiLMk48+JCnjxDAM3nvzNfHa0R8PwtXVFZ7u7shKT0dWejrW1lRflQ5nY8dzzYAJyAiORkZwNG4cOBF129rucLbkdM6LXwGWOIQ0in8SSgeEQsmqEKKLgEnlixT3DEyPWSDp66v2tzmCW0AV4EkBnuFF7nHEQUZKdG9U6sBaD08nM8Cs8UOIPhz9A4fbzeo4IXIm4lySYFL5ItoYj4rwqQ5nQGeW0+nsGP3x4/dYW1PdIkeKuhcgIjwM06dORmpyMgoLumFmpXD6yM/sC71OB093d2g0GowaPlQ8zXHkh4PgeV5SxunimZMYMnAAOI5DUfeCZu299uqfcjjP7RZOmj0ybSV6x3VBsn8YJuT3xac33NVin/Y4ncG6MEvJuYk29lOYPhImlS/C9FE2R/HHhAn/Bk25Z90lDdaFwaTyhavcDUSEFOoj2f1Uk5D4MVAXDD+NP/K9e2CBnVj3efErkGvqDh+1HwI0wSj2749lSWsdzoDOKoc5nampqUhLS2tWrf1ca/BrTYPKSpGTlWkTf1A1czr8zWaxndnXB/PnzJIEvLMsiy23rJf0u3jmJLxNJqQmJXbI+P5ph/NK1dpuZ5QxziZeqTdVIpDiWyxavDhxNYgI0ZRrNyZBy+tQk1KLTEuyD9ui7kI68khjrMNhcD3pSsDnZFf79LAlXunw999JGPTOqy+DiMTSULMrpyAwwF802nC2AQPLy5rlnlKhuKzx/K8dzo5Sc07nwKCRlnilCglbMqgcRCQpkdJUPMPDhbztco8lVmzHENtMUXcPyFi5w+fz9SZH8et6Y9ffx480az/5mc2YO30aLtYfx1svCknRGi+OPXL/vS1yr7XSUG2RmKH2KrO92up0Lk++GUSMXftJSVpke3Vttm+oLqJF7uWbeqImpRZqTgOlnUSMkSSUvlme6Nyx7CzsAq7A6Xz11VdbVGs/1wL87JUiaa48ycjBg5AQF2djfE0cV4Hw0BCxXUhQEKZMHC+C8fyp36FUKrFmZbWk318nT8BoMCA7I+OKSqJcrLd1OP/cta9VKJ3d+RLO7nxJcu3PXfva3LfpNXv9GrdrbbczzjUJevKwMarMFAU3hQeWJ95sA6cVyeuxOGGNJYYgQ4RlbxJKFvAkh15mxIrk9ZYjuNIYhd5UiRwaCiJCnEuS3XE1TRK0Inl9hyYOsnev6yEx0ZWAz8mu9rHriQfuAxHhm88+kjDopWeeBBHh4zdew8X641g4exY8PTzwd0O9yK8RQ4cgLjbGhnsTxo6BSqXChRPH2s2vljLVtoU/7WHQ5XLP3v2bczqHhFSA6FIppqaxR1Oj59pl14rk9ZCxcujITWSXlV9migJLrNiOIRb+FGtjGKrJADmrcAhb7LGwo/l4tcpR/LpW2NWUGc1x5HzdUSiVSkkMptV+cnd3w5K5VbhYfxzvWxxJa4znxTMn8eSjD7XIvUfuuvOKbK+mzmZH209t6dscu3bLl7XJ8axOXgeO4SQxmFb7SU5K5HkX2nUKVySvR6QxVsI9K7us3Csy98OK5PXQ8jrISCnGtktzbDDN3t9pe1197AKcx2vbrfN1R7FuVQ0C/IQis1ER4bh9wy1YMncOvDw9wTAMUhIT8Pj90iNqVsPtvjt3ifD64O03oFarJfFTC2fPgkqpRHZmJnieh0ajgYeHB9xcXXHwq89EIN5QUw0iQlBAAIgIJi8vLJs/F2d/+6Vd72N1OI9ueQKVBWUwqrRgGRa54fF4aV6tDbSenbMWZhcPsMSAJQZmFw9sHTkLRbFp4FgWWoUKY7J74cdbbLOizek5CCqZUIeJYzjkhMVh47DpCPU0C0ddXLxw48AJKIpNA8/wICIoODnGZBfh7M6XWtzttBpuCVTYKHnGQEucJyvGCfCMDF29eyBMHwGWYaHgFJbanHIYyBNEBBkpxBgEHa8HEUHFCrXvXMhbrN3ZkyZZCq8zmBu3XBzL0qSbkGvqDg2nBREDb5UZ/QOHI90jGwpWiDMN0AZf0RG10WGT4acJFGIpWBUyPHNRHjgUXkofEBE0vA753j2u2WMkzuO1l6eXn9qL3MwMsCwLF6MRMyZPwn07tiMlMaFZjpz65UcYDQYMLC/Dn78fB8424OTRX5GdmYGIsFDR8LIabpld0mE0GsGyLCLCw+xyT6lQwM3NDQqFAgqFAoPLS/Hth++1zl/rLufGJySG0+2jqxDhJTA5wM0LNw+eYmNgHdnyBLJCYyBjhULjOoUKswoH2HBv3/xb7HLPx+gucsTKvZ4xaeAYFmq5EmOye2FpySjolRohZoxYJPiF4OC6B3Fu937UjbzXbiKhJYlroGCVMFGIWAuzkCbASF5i3CURgSUW4YZopHtkQ82rwBADNa+2xD95gyMeDLFwIRMYYsEzMnAMB47hLcmFeEntzjgSYtbiXZIl4xkcPBomla/IkTxTIfr49YerQoi3MshcUGTud9nF1aviliPBNQU8IwNLLML0URgaPBZRxjhxvDEuCZgZu9jhnLnW+NWZ2fXLV5+jYsRwaDQa8DyPPj0KsfeBezGorFTCkW8++I+k38jBg+BtMtm1n6y1NM/XHUVocBDCQkMQHibkdPD38wPHcehf2g/n/qgTuZfZJR1yuRyeHh7N2nutqbHD+c6y2wSbh+VatJ+qigZDKxfsJxnLITssDpuGT28z96x2kFqmxMweAvf0Sg1YhkF2aBxuGz0bwR4+Im9UpMaAoBGtfpfjXIQYS2stzF40FWGULjJQ+C8DvcyIIt9+8FQKdpZRJiRl0pErlKQVeENGqOiSzUXEQMPpQESIoEzRMc2jEZCRAnJGumA2PWYhoo3xEo4MCalAiC4CjKUmcpJbuiTusz2qTl6HQt9i6C1jd1d4osR/IHJN3aHmNKK9N/QazurtcKfz2LFjmD59OnJzc6+LI2rTJ00Ey7IYO3oUtm/djP6l/cAwDORyOWZMnYLbNm8UA9D37N55yViqO4pRQwaDiJAYH4/c7CwwDIPUpETJZ3DXbdvAsSyiIiKw4eabsGLpYri4uAgJh1gWBV3zERwUJBo/PQsLcNvmjZg+ZTLkcjkG9Ctp87tYHc5T219AWmAE9HIV5iYWY0P2SKR6BoNnOYnj+eaSbZCxHPy0bljdZTBWpQ+Cp0oHlmEQ7WrGzZnDsDSlDB4qPcI8zZKYp4n5wuqVO/khhvIQQHEi3LwpBDGUD1+KvGTUUSRiKB9eJLxrcUJmi7ud1cnrxGQ9enKHK3mLsFOSFuGUgXDKgIIE59GsccW6zOFYmlIGOSsTjCnyRDTlIoiSwBIHIgZuZEYM5cGfYi1jY8CTDO7kBxkphIUHY5w4jhXJ6xGujwJLHAIoDtGUZ0k4xIAnOYIpCVGUAwN5giX2shzPUWGTwBADI5majPfS5+tPsWCJQ/Q1mh23I4y2641d+598HBzHISM9DVs31GJB1WwolUqRI7dv2SRypH9JX0nfR++5CzzPw8vTE716FMJgMECr1eD1554R25z65UcolUpo1GosnDsHWzfUIiUpSUw4FBcTg+zMDDAMA57n4Gc2Y+3qlbhpVQ0C/P3h5emJn7/8rNnx23M4z+3ejzUDJoCI0D84DVtzKzAqPAcMMZhR2F+yeu+td4WM5VAZ2wObc0YjzzsSHMNCK1NiXhPuNXY8X1+yFSyxUDXiiNLCES25IJKyEUqpUDDCgpKe3MV5yREPrUKNhu3PtbjbOSh4lFAcndRwJ3/wJBeNNilHCCwxmJdYjFuyRyLa4CsmCAqlNERSFjRkBBEDOakRQZkS7lkdVC0JCTzkjFKyU1AeOMzCEX+RI7ZyJy4AACAASURBVNZ+JpHTwrG4jEZZIts+b1fDKHeFgtTieNVkEBxo0lvG2wUq0kHL6zA3vtrhrLmW+NVZ2fX7D98jNDgInh4eqFm2BBtuvglhoSHgeR4B/v42HPnpi0sc+emLzxAUEACZTIbu3bqKC2HWXU6r0i1JggaWl2H71s2oGDVSZJebmyuKehRCq9WAY1nwPN+ivdeSGjuc76/YCbVcgZg22k8FvjHYkjsGU2IKwVrmZWvc89K5SDjiZuEIRxyCKQnRlAsXxstyTW6Zl9nQkBEMMRgaXNHid3lO3DIYZC5giYUbmS38Eey4xvaTlSMDgtOxNbcCI8NzbOw9T7pk214ar1m8piYDXMkHRAwYYjEydKJkHCpO3YgjGVCQWkiWRm6XOE0quCo8bHJ7tEWp7pmC/UhRlvEGWpjMIYDiJeO9VrPjOtzpLCkpwdq1axEWFoannnoKxcXFWLZsWav9OiP8fvjsE7AsKyk0/O7r/waRtMD6xTMnUVbSFyFBQThfd/SS0VR3FE88cB9GDBqIAf1KsHPzRpz+9SfJM/zNvggM8JckDfrvpx+CZVmYTCZ4m0wICwmBQa9H/9J+kvgpa2H29/69v13ge2iqsOr3SukyMf10w8Q7keoZjJywOBFgyQHh0MtV+Gn0tku16gKSEKBzlxQf/mTIWnAMK9bfbNj+HHiGh4mCJefyrQV/G8dJhlMGiBh0ozHiNQFYLH7Z+FiLu53VyeswNGQs4lyTEWWMg5xVgCe5pKBwAVWAIx4mlUEcr5oTdjYbH9+w1shLpt4241VzGnAMDzWnQYn/AMkYrHXtEqmn2C+RhKO5jQusF9FkGMgTAdrm64U2J1+1P1zIWxyvUIhZBROF2P18rfVCryV1hNF2PbHrYr1Q1y6zS7p4/PXC6T/gbTLZcMRac64pR774v7cxa+pklBX3weKqOTj06ceSv8+dPg1EhDdffkm8198N9UhNSYZKqURgQAB8fbwRGR4OnU4rSZZ25IeDMBgMWDBrpt2xN+dw1m17GjqFCtPjekrq0K1KHwSOZfF97UM4t3s/to+ZK+y4FlaKbR4onNYs9xrX30zyD2uGIzIENaoBl0vDQMQginJsOLKweHiLTmdNSi0qo+ehi2cuIgwxMKsDbDjSi6ZaTlaw+GOCUHqqj38iGGIkR3N70EQoSSOp1VlAFUKZFF4HnuEhY+WIdUmUOJzVyeuglxklHOlBE8ASZ1PrLpy6gCW23U5hT3MJWGKR32i8/hRr+XzHScYrIzlyTd0dzppriV+dlV0bb1oDnufx7ecfi8yYNW0q9Hodjv540IYj82fOkPSvP3QQt6xZjfK+xagYMRyvPP2E5O+/fv0FOI7DrGmVkqO0a1evBMMwiAgLhbfJC/GxMSCS1jZuzt5rze46t3s/BqbmI8Tg1ar9pOBkKA9KFWtSHhu3Aype3mbu2eOIkjSNwommQE8eMJBnE45oYZS7tvp9XpiwGj3NJYg0xiLeJQWMpWKAPXtkZbpQvuXl0qUgIkRSloQt/hQLjmRiYqJeNBXu5A85o4CcVYBjeHgqTaiMni8ZQ4ZnHuRNkqV5UABUpJckicylYWCIQbF//3bN2dmxSyzjvVST1JqMrXFNd+vn6yJ3vyaP2zrc6UxISAAAxMXFAQDOnTuHgoKCVvt1Rvg9eMcuEBGO/3xIBM76G2+ARq0Wa9VZ9cQjD4KI8OPnn7brGQq5HEsWzLOJgcrJyoSf2Rc424BDX38BIsLT/3pE0ubvhnoolUpsuPGGdoFvWvdyhBlNNsXPN2QLK33WM/96hRojw3MkbUxqAxYmldj0zfaOwMDUfJzbvR8vL9gIImn2MSvoWOIQ1WgSF5BwTDap0STOIiEz7c6KeW2u21mTUguWOPhSpE2cpzeFgSMOZyffg7pxO0BEiKF8m3ZK0iKIEm3G28tc2uwzC32LwZNcAtsAioOaDDb3j6IcMJa4q7ZOeGsx5ljqKt4n31KoPZWK7X6+vfyaH29nVUcYbdcTu/4+fgREhNs2bxR58cN/v7TLEWsc+S1rVrfrGYlxsQgKDLBh19YNtSAi0dlNS0nB6BHDbNoNHzIYmWlpNvdtzuE8t1soxUREeHfgagl/Do3aIiwGTqnGud370SsuHUpOhlMT7xLbVMb2QIjey4Zdt2SPBMuwIvc0MhV8KcIuR4xkklxzIRO8KbQJRzRIDghv1elsLDeFB1jibZJnJFEvEBGe7D1X5K8b+dqMLYgSoSJdk/GGwqwObPaZs2IX23CkC5WBiCQ1P3tTJbrRGBARBgePade8jTDEwI3MknvpyaMZTofCT9P8eDuzHMWvzsiui/XHMaBfCbrl50l4kZ6ailHDbTkyYugQuxxpSbfWrgcR4eN335bc68gPB0FEqJo5o0V7b+/De0BEkh3W1uyuc7v3w1vv2qr99O9FQuWDx3vNEf++v5/gsP2nGe49NPUS9+xxJNnCkcaL+1GUAyKmSXb+RHDEteu7bU2MlmLHHmGIRayrGWcn34NJ0YITWtjISexNlcikASAiZNIAG+61tMhlUvnacEROKoRQqg1bXMgbsS6J7Xqv/kHDLeMd32jxLQMcyexwuqjV8XZWOdzptB7nSE1NRV1dHS5cuIDw8PBW+3VG+D336MMgIkkx4p23bgHHcTjyw0EJhG7dtAEsy+LEoQPteoZapcLoEcNtMq0FBgQgMjwcONuAul9+AMMw2L51s6Td4e+/A8MwLWZVs5eldknfkXBRaPD7hN0SgM1LLIZRpRXbuWn06OoTJWkTbvTGyPAcnJl0Nw6O3IxfxtyK05PuQrDBE+Py+uDc7v34fM3ddh07q+ESRwU2DmYalTQCZG8QER6eugIH1j2IXYplotO5KHE1quKWS+KLFiSsxNz4arDE2Rg4VsNQzvKWnY07hLpNTcDUkyaCIxnCKN1mvKUBQ5qdkH39B4AhRrIrEkIp4EmBnpZ4rUtAT4KSVYnjbYvzWZ28DjJGLhlvAY21cUQbj7cssPnxdlZ1hNF2PbHrwolj0Om0WLpwvsiL1jiye+vmdj0jNysTep1OjPu0atG8KvAchwun/wDONqCwoJuNAYmzDcjPzUGv7t3tG2t2HM5zu/fjg5qdICLs7V0l4dLb/VeCiPDsnJtxbvd+DOvSHSzD4MfRW8U2i5NLYZSr8fuE3fit4nZ8N3IjTk+6C3ObcM9FrbPr2LmQNzzIX7LCrSId/Ci6EUcmgSMe+RGJOLDuQbweepPodC5LWos5ccuwNOkm8Xu9NOkmzIlbBm+1GUQMChpxpDdVIpqEGoMfDb4JZyffg2C9JzRksDF6vClMTDBklSt5I1Qf2eycmp+w0oYj2TTY4oj2ldzLyunhoeMxJ25Zm2PHE1xToCUXyXjdyLcZTnsjTB/lcNZcS/zqjOy6WH8cY0eOQHhYqORERo/uBeial2vDka55uXY50pL+dd89Ai/2Pia514fvvAkiwk2rV0rsvca7qzjbgG0bb2nW3hMz1NpJfhbh5YdRTRbyz0y62679tC23Qmzz3kDh+/NE7yr8MeEOfDtiI06M3yVy77mqS9xrniOMxIEKpiTwJLfhiIyRYV78CsyPrxG/vyuS12NufDUWJKyS2CZVccsxKnRSi/ZItikcZyffgyXJpXYXtKwOcS4Nk4yXIQaLEm9odk4FakPhTn6Se2nICHMTR1RIoKZHinsXVMUtb/GejTU8dJxlvEPFe8VQno29Z3XgGWLbfO/OJIc7nSNHjkRdXR02bdqEsLAwpKamYsiQIa3264zw+/PIr/A2eaFbfp54NOzj/3sbHMdhUP9ynDz6K3C2AV98+B58fLzRr0/vdj+jsGtX8DyPZ/c+hotnTuLvhnox6L1q5nTgbAPO1h9DUEAAvE0mfPXx+2KA+8DyMqjV6mYd3ebKonx6w11gGAaVsT1Ex/OV0mXQy1WYWlAqthuf2wdEhF1dJ+LMpLtxetJd6BeYDJYYBOguJdkI0QuB4i8v2Cj29dAaoSSNCJIeNMFStJxBtmUSF9BYGMkElnh0s6TR7kqjoCEjeJaDjBOSC3nKDMigbEQYYsQ4AaPcDT19SxCsDxPHIWOEWM14+n/2zjssqjvr4+eW6YWZoTP03svQpQlSFQQBETuoCNhLYscSNbaoibFLomZjei9uitls3m3Zks3WZJPNpneTuClKfN/dfN8/LnPlOrRBcICMz/N9ng3O/c2Pu/l9cs6953xPgejsGEtjhXII1wBcmn8K3zbdCTelDjzJxCdrxTRf7OG0BluFnfuVMXKsSdza44G8MWELOIaHN4WKhkPWpDmQ4sXEM4MmgScZdDIXcb8eSm/MDJvf56G3uKVDRgrJfpWkhaLL/e3vfkeqBiNo+zGx64cLX6BlTiMMBhf85ucvXOFIoMCR1179vZQjKhW+fOctu9Y/2+n2uGRBKzounAc6vsWvXzwHjUYDL08P/N+3F/DDpW+wbNECEBFOnTiK/178Gv+9+DXuOHoIRIS7jx+VrGl9y9mTG+P3J55HvG8w4lz98M/p+9HRfBrvz7od2d4RMBvccPHYs2LgxjIMaoPTcH7OMXQ0n8bDpctARAjWe4Dt7N0ya4xQcTIJ9xqzx/fIkSBKRCm1ooRaRPMM68O1rhwxqQWjDDnDI5KikeU5FkpW1ckpOdLcs5DiNgZyVujlVDJCv7hXF45kUz3kpAJHrMjp5s63BeGUgRJqQSm1dvLmSnlb1/32ZQwSqo+EinQiR8bRXPCkgJZMGEuzRE6byFsodSOBySpOjXyf0j7NhWaGCQGpYAoi7DeA4jrv7zi79ztS5Sh+jVR2vfDEoyAi3HzTJpEjyxcLrSwnjx8ROXLnscNCGf2xI3at/58vP4dWo0FMdBTef/N1oEOYJ5yTNQY8z+P9N1+TxHt1NZPw7flPxHjP12xGZTfxXl/jULZUNULO8Xi0bIUYj2xKrbaJnzx0BviojfhT58OmzxqOwCBXw02pg4tcMBPT8Ar4aIzwcXGVcI+IkcQjVo4IZadX4hGOeBjIqwtHxnd6YijEGMVfG4hS34lwU3iKPwvWhaPIXA6TwgQiAsuwYIjtNh4hYvD0hFXoaD6Nv9XvBkMMXMkslsRa4z0ZKSX7VZIWkS6xvZ6pyoApNhyxtiOkULkNp60GRQyxiDLE9flWckPSTqg5DVzJV9zvGJrc7f1VkmbUjtFzeNLZ9c8vf/lLPPnkk/jPf/7T52dHKvxefOpx6HRaKBQKxMZEg+M4yGQyMAwDjVqNqAjBZIHjOGxZu9bu9b965y24uwkJnL+fL0wmwfBBoxHAEhEeBoNBSFQ83N3AMAyioyKh1Wohl8vx0F2nul23rzmc+6YuBMMwMCo0CDN4CW8bAyPw+YErbxj+uPmEGJx5qlzgodJ3HlpCrk8kzhQtwuHcRgTq3KFTqPDxrQ+L17605jbIWCFA0ZCLaHwjXM9Az5hE8x4rCLSdhhgMMdDKFNiePgUPly5HfajQzK0gNaIpBxYqFRvQvdQGHM2bi7sLFyLTI1T8DgWpISeV+M9EhACdG1yVWnEPRAQ16cGRTAwGiQg6xgSeBCfIKSG9N9VvThbKS1jiwJMcuk7DDsHZjCAnZefvJTSfa8iAWMpHIhXDRD5gicO8yCW9rr8q4SbRXVJLRtHQyPodV/bL92u/I1GD7f74Y2DXl++8hZSkRJEjRqPw7yHPC2cxKiICGrUaLMsiOiJ8QOMAaisngoig1+kQHCSYLFjNijw9PBAUKPQqmr0Foy9fsxlmH8FxuWH6NGkPfC9ltV31h03H4akzgmNYxLj6QsHJoFeqJUHb9yeeh7eLCQwxUHFyhLoIQRPPsPBQ6bE/aybuL16CCQGCGdmpeWvEay8efQaBbl49ckTD6KFgpD/ryhEiQkNkLh4uXY6t6XWQMTyIGARSApJpAkIoGQyx4IjFOkslHi1bgQWxReK1LPFQk4uEUwa5GiF6T8l3ykgpukDynQ/cVKQVf5bkmtZnUrgsdh0McpOEIyyxna7bLHSMa6cjuKBQSkEyTRCN4bK9Cnpdf5NlD8Z4jhXvpbrTqVJ0CbdzvyNVjuLXSGXXDxe+wJrly2w4wrKCO6qPjzd8vIUzKpPxeP13v7F7/YdOn4RMJut03Q6HTCYDx3GQy+WSeM/g4gIZz0Or1SI6SjA/DAsJtmml6s/8za+PnEVhdLLwAEvvAQ+1cA7Wlk+XfG7huEngGRYMEUJdPKHkZJ0JHoPFcSV4tGwF1lgmQsZyKIxOlly7pKhG5IjmKo7ISQEdYzX+YWw4whCDBNcAnCxowZ3588UXCq7ki0QqQSyNFY3AyvwS8EDJUuzNmgEXmapLTCWN9ziGRZTRDDnLg+n8XoZY0QCN6XTs7ho/meRuWNFlQkB32mjZjXiTxYYjOt5FjDsVXdjtScGwUBmiKBtK0sBN4dFnxcassGbIGDk44qFjhP+eKFilOAFB3K/Cvc/9jlQNi6Tzww8/xL333ov77rsPH374Yb+uGcnw+/TN17Fn6xYsbJqHpS3NwpO1O05g2+aNWNTSjFMnjmLmtHr4eHvhf89/avf6/3v+U2xZuxqJcbHISEnBmRPHcPnzT3Dfne1YNL8JbatuwD9+/zK+++h93Hnodixsmoet69fhvb/+udv1+ko4rfrz1juxrnwGFo6bhHtbNuK7o89I/r4prxyeKhfszJgKi1sgLG6BiDL4INpoxrdNd4qlH/+acSsUnAzba5ok13+0/yHMzipBrG8QciMSIGd5rEqswP6smWiJKcTOzKm4OV2Ye5nnE4lYky9yvQWoW5+OdTSfxomxTSCSljmUUitMZEas0U/83Dfz7kCozhNGuQkaXgsNr4VBbkCU3gcPlizFwthi3JA4AU+MvwE8sfDTBMJT5Y0AbTCmhzZhXdLNqAyoQ5p7Fgp8yrA8bkO/D+ay2HXI9ylFmns2qgLrsT5pBxbGrEKuVyHSPbIRY0wAS5xkMHIJNUNHpn49IduQtBO1QTOQ5p6NPO8iLI5ZjXVJN2PiAPc70jRYQduPjV2XP/8E95+8A4vmN2HdiuVwNZnQMHM6Th4/gkUtzdi2eSNOnxD6nH/+1BMD+o6zD96H7MwMJMTGYsXCBfjuo/fxh5+/gFVLl2BpazPOPng//u+Lz/DS009ixaIFWLFoAV56+klJktvfhNOqzw88hlunLUZrQSV21bXgw/0PSf7+mZVCz9aeMdNQYI5BrMkX2d7CA8I/1t0sKW3LN0cjubMH06qO489h39SFSPIPgyUgHNE+gYgz+eGhkmVXcYRBpmcY4kx+GOMVDp1MiTmReeL6H84+BJ7hJGX71jItIsJrU/eIn12dVAGOOLjIjVBxapjkwsPIR0qXY41lIhbEFuFM4ULkekfBKDfBrPaHl8oHBd6l2JC4Aw3hrcj0yEWmZx4aIxb2u3e8O+6tSdyK8X6TkOaehSxPwa2za1uE0EZgAc/I+lVZMT9yGbI885HhkYMZoU1oS9ol2e8cO/Y7EuUofo1kdv1wQRjLtHrZUixtbcb44iJ4enjg2Scfw8qli7Fy6WI888Sj8HB3x4J5cwe0/rt/+RPqJlUhLjoa5aXF+PvLv5bEe4du2Y1/v/cO3v3Ln7B1/TosbJqHk4cP2hhC9ifh7MqWx5Zsx6LCatxYVo/fbjwi+fvvjj4DT50R00IzMSsipzMuioCM5dCWMklSmnt7juCJ8drNd0nWeGnNbSiIsiDWNwjZYfEgIjxcugxrLZUiR3K8I+GrdUWqRwgSXP1hcQuEu1InMTkqMMdASyaUdDFdzKfZYInF9vQ68XO/rd0qJKcKd6g4NQxyE1hibOK97enC28lAXSg8lEKf5fK4DV3ipyxUBU6RtCD0pk2WPTbca0vahWmhc5DukYNsrwIY5a5wJ39Jib+1jaA/lRU3xG9Ckbkcae5ZmOBfjTWJ267ab32/9zsS5fCk895774WbmxuqqqpQVVUFd3d33H///X1eN9LhZ9WuLZug0+kkvQbo+BZPPfIgiKjHRPB6qb8JZ3+UHBCO2RG5Esh5qlywPrnKphE+zycKNSm5Pa5lNRd6ZfJ2yXUfzDoIIsKZokXoaD6Nrel10MmUomtbR/NptMQUQs8YbXqAojvr67t+9sbEchgVBvHA6GRabOhmvznekYgxXr/xIhEuMXDr0g/Wta9Czxuu2z5GqgYjaPuxs+udP78KIsLZxx626SFXq9XYs3WLQ/Zlb8LZH22vaYJOrrLhSLjB24YFt2XPkhiodSdPnbFb7uV6R6I6OBUdzafx+lTBQOmJ8TeIf/98xVqbB2ZCGWujhHsdzafxm5qbQESYG7EYm5NvQZp7FsINPjbfeWv2LDDEXLckrTpQMNQoonlX9XlOBhFhXuRih/NhuMtR/Bot7PrhwhdItSShcdYMm57O2TOmIT0l2WH7sifh7I/+seMnthyZuK7b+OnD2UKbwj0tbT2u11pQiSiTuXvudYmfLG6BaIiUxnuuCp2N/4XQl+2DmuA0yWcDdR7I7Byr1BDeavOAr2u8d73Gi1wxYsy3+R005IJMzzyHs2G4y+FJZ0REBN5++23xn9955x1ERET0ed1ogd+pI4fAMAzee+M1Cfj23LwNcrkcX7/vuN9vMBPOy+3nUBaXjgyvMHzXdBK/rt6C39TchFijL6qDU/Hvee34xaRN+H3tNnwz7w74aI2YlzcBv1h3O/6y7aTNWn/dJjTH39MlyOoK09tzGnAwpxFb0mrBEIM3p+/Da1P34OdVbVidVAGeZCikecihqcikGhRTEwIoDia5FmcKF+L42Hk433gM5QEWmDW+mB+1DM1Ry+Gl8kbtVXD8tulOeKmNSHPPtjlgqxO2Ym7EIiyNXTeoBzfZLQNq0tsYgHhSELyUZnG/9paXDdV+h5sGI2j7sbPr3++9A57nsW/XDgm73vnH34TqDTv7ogZLg51wXm4/h/bGVTYcWZM0ERpegc8bj+JPdTvwUtVGfDnnOFpji+ChNeAPm47jV+sP4tujP7VZL84chNqQ9G444oKGiDwcyZ2De4sWg2dY7BkzHZ80HMaLlW04W75KKB2lEhRQAzKoGvk0W3SJtXLv1bqbcbKgBUSE2eGtmBuxGDle46DhlWJPquQhnExnc0Y2WnYPmCO9ydqX2dVdsowWIJ4KhVLizv3a20veZtk1JPsdjnIUv0YLu3648AXKS4qRmZ5mk3SmJlu67a+8buwaxJjrcrtQxcGzHHZnThM58tPy1WL89N6s2/FiZRv+NeNWMX66r3UTXlp7wKbi43L7OWyuaoBWZsuR1tgieKj0YvxU6BuLdI8QSbwX6WKGF4WgmJqRSTXIpikopmYoSY3ZkQL3nhh/Az5tOAIlJ8dY7xLMjViEWWFCReC9RYul8V7nQ7jGiIU2Z2RJ7NoBcaQ3bbLsgZJVSaYSCD2nc8ERL+53IPHTUOx3OMrhSWdWVla/fnb1n9ECv28+eBdGgwEFY/Pw3huv4YdL3+C5px6H0WjAzCl1DtvXYCecl9vP4YGFgjOaXqYW6+JVnND3qJdfqZU3yYXeQpVMKf7M4h+OP2+9U7LemNBYBOrd8avqzehoPo1X63YgyugDnrlS/y/0IjAwdK5JRGJvqIyurG/tn7L2EQjXCf0eau7KftWcGiwxOJTbiG/m3YFPGg6jKVooF+s6z7LNsgtjPPMgY6/0ZYXqwwetTn9e5GIQCQOQC2keSqhZdKZUddmvi8yI6aFz+1yvzbILmR654BhevDZYFz4qLbsHA3xOdgmaVlsDk8mIc2efxA+XvsF7b7yGsbk5MBmN+PbD9677fvoyDhqovjj4BPQKdbccMSmu/EzDK8ASA1NnbxURwU1rwB1zVknW2zd1IViGwcGcBhuOsBIGMZCzvPhdAqtYsMR3YRUjGvJ0Fc9wULFXGCdjZGAZFrUh6Xh/1u34rukk7hq3AHKWR65XoeR81Ic0wig3XmGywtQvjvRHGy27YZCZoCd30Sgkk2qgIDWUrLrL/mXI9iroVwJZH9IAfRdTtf5yb6TKUfwaTex69MxdICJs3dSGS199jotffoYtbcIokcfvufu672coEk6ralPHQsnJJBzhGQ4qTg6eYcXYRydTQi1TimzhWQ6NOePx9ZGz4lr/3HUGMo634YiM5STs4jrX7RrvKTvjPZ7kV7jU6SnRNfbiGQ4MEfgu8YiGV8Nf6yaJ96KNvvBQekgYsTxuA4J1V/w45Ky83xzpj8Z45oEjHklUglJqRQE1wIOCwBBjEz/1J95bHrcBgdqQAXFvJMrhSefmzZuxdetWfPLJJ/j444+xbds27NmzBxcvXsTFixd7vG40we/Fpx6H0WAAwzDQ6QRHrDFpaXa7Pw6WhiLhvNx+Dr/ZcBgsMXAnf6RTFdKoEm7kByJCiV88XqraiCfG3wB/rWtnQhWPMTQZFiqFnjXBS++KLw8+Ka735q4ziPAUrndRqDsDQQ5aXonDuY34Xe1WbE2f3GkapEECFSGL6hBEwkB0DRlgoTKMoVrRJVJFeqRSBTKoGt4kgCtM74XnK9biuYq1GGeOEcFqBTbHsCj3r5EcrByvceAYFhuSq/Db2q24s6AZXmojvNU+gwaTUr9KMMSCJbZL0MnAgwIk95cjDq3Rvc/2y/Ea1zn6JRVZVId4KoSStPBUDt5+h5MGI2hzsusLfPH2P5GZmioEF3o9GIaByWgccD/ntWgoymqtunjsWfgZPSQcCaEUEBFclVo8WLIUv6rejOlhwqw6A3l24YjgiP3U8p3iepeOP4tZWcIsNjWvAM9yosnawthi/Lp6C+4vXgKDXA3qHMmURXVIoEKwxIMlDpGUhWyaghjKA0cyYYYdjUUW1SGCMkVzodPjWvFyzU1YY5kIhggcw4FjWKh5IdiLNMRIDDCaIpeCY1iU+iXg+Ynr8FzFWhT6xoJnOLRErRiU89cStQLaTvMfa9DJkwwq0iFRvL+CQUq+5/PRVQAAIABJREFUT2mvazVFLgVD7IC4N1LlKH6NJnb996vzWLdyBRiGgUKhgEKhAMMw2HDjygGZoF2LhjLhvNx+DsuLJ4uj3awckZMaLLHYkVGP39VuxcGcBnCMYGDYlSM8w6MxZ7xkvXta2qCUycExLDQyhfiALNUjBE9NuBE/r2rDOLMQU3WN93QkxHY+FI5MqkEKlcOF3EHEwExRYrxnNRdaFlcqxk/uSj0Une7cOpnwksIgN2BB9A3iuWiz7IKHyhNmjauEeywxfXKkv1qftAOh+giRWUwX8yJ746c2yy64Kjy65V7BIO13uMnhSSfDMD2KZdkerxtN8PvhgvDG89SRQ9i5eSPOPf7IdYeeVUOVcF5uP4fpmUXQsQZJE3kJNUNJGsyOyBFLJgK07vC6akB6Hk0HQwyOzl5pEww+tOgmbK+Zh0XjJtmUYDxUIjjWdS3liqZcEDEYSzMl3+FBQdCQQWIupCd3mBRacb2v590BH40JkS6xKPYtx3i/STZvA9cn7YCSU2J5wvhuS39nhDUN2gFeEdeGMr8qFPuWI1wfBQ252NxfFWmR5JrWK0TlrAJBlCS5H9aSvf6MYRlpGoygzckuQf/96jyef+wR7Ny8EaeOHMI3H7x73fcwlAnn5fZzeGTxNhuOlNECBFAcdDIVvp53BzqaT2NVl9L9rhwxsp4oiLLYrPuHTcexc3Izbpu+GApOJim5vTD3BDS8UlLKJcyqYxBF2ZJ9JJDgVtu11zOCMkFE+HPdTkkJnJpTY7zfJBSZJ3TrdB1vsiBQ5yExd7Nyz+KWPmhncH3SDtQGzUCheTxyvITS2jFUa3N/VZwabZZdPa4Tb7L0yD2L6+DtdzjJUfwabez64cIX+Ocff499N2/D/h3b8darf7ju3z/UCefXR85Cp9TYlIRmkBAvWXs9rT3gSVQi+VwEZYJnOZtS249vfRiHZi7DzbVNiDUHQcPL8XnjUZEZU0PHQEU6ybk0kQ8M5ClpC7KWpoZSqiTeIyLM6DKD9NxE4S10nncxCs3jMTl4po1b7NQQobf9F5M22ZT+anhNv+cB96VNlj2YG7EIReYJGO9XPeD4qb5zvwPh3kiVw5POgf4ZjfBztIYy4bzcfg7xvqGSwedWmSkSyW7BomMsESGum0ZtPWfEkqKaHtefP7YCRCTpNdiaXgc5o5Cs40+x0JKtkVAM5YGIJEAMoWRwxEkANiM8G/7agB4P1ZJYoc+gq2Ou1dlSyclR4jtxSA6zp9Knh/sbAV91b/tdAyJCKk2UXFdKreCIH7L9jmTwOdk1fDTUCefldsFISMEqbM5WMk0AEYkzPssDLXC/asC4lSNeetce179w6CkQEY7lzRV58drUPZ3nssImkOk6+FwwEhIGjydSsY2j4qHcRnHNR0qXg4h6daY2a3wxN2qsjVHI9PCsXrl3LRpnHg8ZdXd/hRmnvZWp9cQ9HwrvlXsjWY7il5Ndg6uhTjgvt18xEurKEet/33nisTNzKjqaT4s94NZ5kVdz5KW1B3r8Dk+9CcV+cRJexJsCbM6lnFQ2zttCMir0enb9mYp0SHILtCt+GmceD71MbcMuK/eGYgxJ7/ET1/t+fcoGzL2RqmGRdL766qs4c+YMAODChQv4+OOP+7zGCb/BVW8J5/cnnscv1x3EPS1t+OOWEwOGX1VSNgysuySpK6VWaMggPuG/NP8UPJQu8KNojKVZSKQSpNJEjKVZYBkOe+sX2qz7yubjuKelDTeUCvbZPy1fLcLm9LhWmyAtgjLBEicO6O2anClJawNDHa8S17s4/yTCXARr7p4O1drE7ZCxMmxOrZGA7/e1wmGbEjx7SA5zpEss9GR7f7Vk7GO/28AxPMIpvdv/2IzGWZ2DFbQ52eV49ZVw/mv3vbi3ZSPOrtglDj23V3fPX99tshdKKVBycnw19wQ6mk9jYWwxFKRCIc1FMk1AEpViHM2BO+OH9OBom3U/2v8w7m/dhMcWb4OM4TAvKl/kxfk5xyBneUmQlkczOh/KSceNpHQmv13fxFofov2y+spT/7WWSig4Ra+W/FGGWMSZ/CVOvVbuxRmThuQ81gQJbzZyaZpNsi5j5L3utzfuDdV+HS1H8cvJrsGR+KCsj4Tz34efxmNLtuOBBZslc8vt0ZcHn4SCl9ske9k0RVIZ9kKlwLgUqkAm1SCRipFN9YilsWCIwdt77pOs+93RZ/D08l24t2Ujon0C4KbUiRUfHc2nMTEwGToySc6lC3nA/SrX/WKaD54UkjexBdQAhhhUBiXbFT9ZOfKXKbsksdcay8Q+uTdQXUv8dC3cG6lyeNJ55MgRxMfHIzg4GADw1ltvIT8/v8/rnPAbPPWWcL61+x6kBISLTc5EhOKYFHx2wP63Cs/eIIwA8KMYjKWZGEsz4UtRYhnFe7Nux1+m7EK4i5fk+4R+AR48y0nA+8mtj2BclEXyORnLwVttwNMTVuH8nGM4VdAClljoyBWZVINCmotIygIRAxP5IJumYBzNQSSNEXoFyIRcmo4CakAwCYPeY42++Of0/Xhj2j40RgqBXHduaV2V4pYJFSfHibFN+KzxKH5WuQHRRl8YFcYhK5mwOrz5UwzG0izJ/Z3Tx36T3TLAkwzxVIBCmocMmgQdmeAiG7r9jmTwOdk1PNSbcdCl48+iNb8SXOcAeCKCr9EdP19zm93s+vrIWbhpDNCRKzKoGoU0D7GUD5ZY+GiM+H3tNnw0+xCWxZd18uqKmRnTaUj2k/nrJQ/yNlU2QM5dMZ5Q8jIwRNidOQ0fNxzGyzU3wVMlDEaP63IuZSSHjBSwUCmKqAkpVA4FqcEShxQqRxE1IYlKwJMcPMPhpaqN+LThCI7kzYGCkyHdI6dfHJkfXWA39waq9Uk7oOX10JO7yOlYGguOeGT0sV+rG64/xdrNvZEqR/HLya5rlzXZ/H5f7wnnAwu3wFVzxZBMwcuwtXrOgBLPOTnjwREv4YiWjGCJxd2FC3B+zjE8UbYSPHESdln5lRUaK1nvhVX7YTa4iZ+xmgZVBibjr/W78O7MA6gLybCJR4zkDSJCCKWggBqQS9PgQYGdP7OgkOYgi+o6P8dge1qdXfHT+qQdcJG7IN7V327uXYu6j59c4SIz9LlfLa+HywC4N1Ll8KQzMTERly5dQmJiovizmJiYPq9zwm9w1NcbTot/GPx1bni8bCU+bjiMu8YtgFGhwSRLjt3ge64z6eS6uMtyXZzTrk40IygTBdSAMVQLA3mCiMEzK3aL65UnZMJVqcXdhQvxccNhPFq2Aj4aI2SsFJouKg3MBverkljWBq49qasjm4KVo9y/ts+DtS7pZkQb4iTruCvdJU3vQ6HxfpPAM1ccc2WMHBX93G+kS6xkvya525Dvd6SCz8kux6uvstrtNfPAMgy2p0/Be7Nux6+qNyPTKwwGlRaf3PqIXez65shZeOgMkHdxo7aywcqwrvKgQORQPcbSLARRIogICX4h4nqn5gkl+DckTsBbM/bjlcnbMT4gUTQTunJ+OcT7hkh+puKVNuyyOm1Lg0UGPEn3G2tM7NfT8/F+kyS/q4LtH0euRS1RK2CQmST7jTH0b79lflW23AuY7HDOjDZ+Odl1bepvOe2ft94JGcejItCCV+t24J/T92N5glByeaZ5g92x19zc8eCuYoSM5UXn2isSTBdTqByFNAcJVASOZGCJFdf6cP9D0CvVyPGJxK+rt+DdmQdwU5pgVHS183aYpy8U/BWnWr6TW9IpAbZxmGDOI2Vhf+OnlqgVcFW4Doh7A9W1xE/Xwr2RKIcnnWlpaQAgAV9CQkKf1znhd+3qq4fzpbUHQER4asKNklKF23MawDC25RZ9qTo5B7Gufvh49iHcU7QI9xQtwscNhxBh9EFJbCoWjZuEG0rqwBBj0wtgLbfwMQh9UW/uOgMiaQ9U19r9VWVT0ZI/UQT0pePP4pmVe3C6aS1Wlk4Bx/DIp1lIoQlIoCKMpZnwoXAoSINgsiCA4pFNU+FKZviqA1AXPAt1wbPsnqG0MGYVqoOmYXZ4y3VzgV2dsBWTg2eiLng21iRus2+/0Tde9/2ORPA52eVY9ZVwfn/ieZgNrmiMzJPw4d2ZByBjOeybalum35vONG8AEeEPtdvx0/LVOFnQgr9M2YU1lonQyBVYWz4DCwqqoOB4yEiBYmq+qkzfB0yXwC0tKBIlfvGSvX019wRMSi3q0wvQml+JTVUNuHDoKTEIPd20FnfNF8zI4igfY2gyEqgQGVQNCwlvWIMpCf4Ui0QqRgzlgiEGtUEzUB00DYtiVtvNEYF7s6/b7LiNlt2YFdY8wP3eNGDujTQ5il9Odg1c9vRvLimqgYdaj3/Pa5cwIt8cbfPWsS99dehJqGQKtKVMwp/qduBkQQueKV+Dl2uEEXZLi2rQkj8RKYGCI+vVvZ/WMv1T89bgcvs57JzcDAUnwwezDtp6XZg8sKpsKhYXVuPPW+/A5fZz+OzAY7ivdSPua92IeEMg3MkfBdSARCqChcowjuaAJzm8KQz+FIswSkMuzQBDLHK8CgcUj1wLR65FA42fHLXfkciua046J0yYgDfeeANJSUkAgLvuugvl5eV9XueE37WpP6ZBp5uEp/FdHcm61tb31ljenSz+YTZBYEfzacwMz0Z6UBQut5/DR/sfEp5MdWMkpCIdVDI5Lrefw7lV+0BEeLVuh2Stj2YfAhHhnpa2HvfRkl8JA+fWbyMhHe/i8IPq1PACn5NdjlVffZwXjz0LIsLRqx5KdTSfRrjRG4sLq+1i1/aaJrgobA0qHi1bASLCv3bfi8vt58AyDNx6MBLqmnR6aA1oS5lks16+ORo1Kbk97sPKPXuMhOZGLHb4eXNqdPDLya5r4JUdhkETk7JQ5Btnw4c1lokwu/RsSNadrEZCV788uDT/FNS8ArvqWnC5/RxizEKZa09GQlPTx+Fy+zm0FlQixtXXZm+35zSAiPD9ied73ItJrpO41PZmJKRlDMj0yHX4WXNqeLHrmpPOf/7zn0hNTYVarUZAQACioqLw1ltv9XmdE35DD8DfbjwCIsL9xUskcNmZORU8y+GDfQ/2ucZ7ex/AwZnLsLd+ISYkZCLExVNixf/NvDsQoHdHZVIW9tYvxKGZy8AQC28KkwDIaqAR6OqFy+3n8O4t94NjWezLmiHZ208KF4CIsGdKK3bVteDJZTtw6bjUPOTWaYvBEouxNEvyHZ4UbDMyxUCeCNaFOfygXg9tsuzB7PAWFPtWoCZoOtYl3ezwPQ1X8DnZ5Tj11sfZVcFu3qgLzZDw4R/TbgHLMDg0c1mf13979Ke4v3UTdtW1YH3FTBCROJjcqsVxJTCotDg8czn2TGmFSqYARzJJ4FZKrXAhD0nSmRMej2zvCIlZz6cNR6CTq9CYXYY9U1pxovFGfH5V7/w7t9wHlmEQTTkSdiVSMYgI2TRF/FkkjQFLHG6M3+zw83Y9tDR2Lcb7TcJ4v0lYFrfe4fsZjfxysst+DcShdtX4qTAo1JIH/pfmn0K6ZygKopL6tcavNxzCnimtODxzOfRKNVZcNcLtxco2EBE2Vs7GrroWFMUIc4ctVCphi9Xv4qEFW8T4iWc50bHbqknBqQhx8xHjvT9vvdNmT1mhcXAlnx5GpqRI4j2GmCEv6R8uWpe4HdWB01DiOxGN4QuwybLH4XsaruwaFPfa//73v3jttdfw97//Hf/5z3/6dY0TftcHgHkRCXBT6XB87Dy8WrcDe8ZMh4qXY3ZWaZ/X3j5jKWQcD45hRcMMlmFQHpCEn1VuwAuV61HmnyD2Mck7P2utaw+iBGRRHZJpPDRkBEMMXm47LK4/LaMQGpkCe7Nm4NW6HTiaNxd6uUrsIZB19vhEewfinVuulAJ/fuAxuGpc4MK6IZkmIIvqEEDxICJoyAVpVIkxVAsfEgyUpofOc/hBHWqtSrgJvpoAEBE4Ev6/UnOaUfuWZLDcH53sur6yZzzKgelLQERYEl+K39VuxcOlyxFj8oW33oQvDj7R67WvbmmHn9FDYELn8HO1TIEAnRvOFC3CK5O3oy1lEliGgYzlwBADJW/tKWRgJG8bjuRFJIjrP7xoK4gIM8Oz8avqzTg7YRXSPUPAd/a78wwPhhio5Uo8vGirZG/16eMgY2SIomzkUD1iKR8ykouGQzlUj0jKAkd8r/N5R4s2WfYgt3POJ0usOKi9wKfM4Xsbbfxysss+DXQkyhs774ZGrkSWdwSeKV+DX1ZvxrQwIfl7fOnNvV779ZGzqEgQPiuYkzFiHLYptRqvTN6OnxQugJ/WFWor23hFlz5whYQjLLHgWU4SP3noDIhz9cOjZSvw29qtWBgrPPTiGBYssaJvR/PYCnQcf0689qFFwixQM0ViDNUilSbCSF4gYuBHUWK8pyMTtLwOaxO3O/ysDbUawluh5FSS2CtAGzxqWwSGRdIJAP/617+wf/9+PPnkk/36vBN+9msgczg/vvVhTIjPEBNBjmUxc0wx/n346V6v+82GwyASHBA/bjiMf89rxy1jBHtoo1p3pdm683/fmj0LX8+7Ax/NPoQYgxnMVc3mHHHgGRbv3nK/+B0XDj2FaRmFEndKjVwFF9YN2VSPUmpFBk2ChtUhP1I6mP2VzccR4xMkuW5u7gQEmK4456o4NSYG1Dn8kF4PxRmTICclUqkCpdSKXJoOI3lDzWlGZUP7YM65c7Lr+sjeeZzfn3geW6oaoVWoxDOd6BeKV7e093rdpePPItTDjDhXP7wyeTsuzT+Fn1VugKfaReQVkeAmyTIMqoJS8M7M2/Bt053YmFJtY45hda89PGu55HsOzVwmcac0qnXgGB6JVIRSakE+zYYnBUHBy/De3gck3JuaXgi2iwlbSUwqxkUlS74zkmJG5dm9WlNChLK+MEpDMTWhiJoQQoKr+YzQJofvbzTxy8ku+3llb8Jp1blV+xDi7iOeaTeNHscaVvZ53arxU6HkZTg9rhXfNZ3E2zNuw4SAJHAMCwUvk/DGW2PAz6va0NF8Gi/X3AQ5w4lmP1diLxYZwTE28VO8b7D4GWvy6k8xKKQ5KKZmRFF2j9zTseorMaDcDUmu6ZAxVwyHvFTmUWti2FVrE7dByargSmbk0QyUUiuSaQJkpBi1DwwdlnQWFhbi1VdfBQB89NFHMBqNKC0tRUREBHbu3Nnn9U742aeBJJxd9eauM3hh1X5J8NObmvLK4adzxXdNJyUlGOWBFiT7h+EX627HL9cdRJw5CJOCUyUlJCaFFovjSvD2jFuxP2sWHihego9mHYSKl+Pm2iab73r3lvtxbtU+3NUkmGxkULWkPCSehKfgb+y82yYofWXzcfxs9X58efBJXG4/h47jz+HltiOooXq0sksdfkCvh1YnbAVLLCIpS3Lfckl4SFAbNMPhexxO4HOyyzGyJ+Hsqi8OPoGfrd6PV7e099pvZJV1tNOLlW0Sdt1ZIIwSeWblHrywaj/WTJgOrUwpKYFris6HWWPEv+eewMn8ZhzImY3PGo+gPDAJKQHhNt/19ZGz+Pma2/By22EYVDoEUoLkDBbSXPAMjx2T5/fIvX/uOiP+7I2dd+Pcqn14b+8DWMSsEMStdPh5G0qF6iNhJC+bwex6ckeUIc7h+xtN/HKyy05e9TEWpS9Z45Gfr7kNXx85268HbW4aPRbHlUjY9UnDYah4OTZUzMQLq/bj6eU7QUS4u3Ch+Jmflq8WuXdu4jrsHTMdv6vdKnKvt/ipIbsMWlaPUmqRtiwxQUjyt+Xeh/XtqKF6NEctFw131iZuQ2PEQiyIvmFUl5d2VWWAMCt1LM2U3LdwSgfH8KOyxclhSWdUVJT4v/fs2YOqqioAwFdffYW4uLg+r3fCr/+61oRzIJqYlIVC31ibZvNVSRUwG9zEz3nqjFifXCXp8SQiHMmbY3NtqMELS4pqevxOq/FRIc3rthH+f+wwPvpyxl1YxKxw+AG9HloSuwZEtq51pdQKljiU+lY6fI/DCXxOdl1/XetbA3tkfXj12VUGar+t3SrhSGtBJaJMZslnKgItGOcb0yf3rtZ3R58BESGWxtqYbOg5A5YW1Q7od/lD+D4x+XT0mRsqeSnNNm7nZbQAPhQOX3Wgw/c3mvjlZFf/NNCy2muVlSOHcxt7jZ9eWLUfRIQ/1t0s/v3JgpZuufdyzU19xk8Tk7LgTv7dGKhZ4KW3NT6yxldL1KPbqbUvjTOPh4wUkh7XMlogupGviGtz+B6HE7uAa0g6rY5pADBp0iQcP36827/r6Y8Tfv2TNeG8eOxZPLBgM5YW1WJTZQNe33FXt/D44uATODRzGZYU1WBv/UK759lZtamyAWpegfdn3S7C69umOxHr6oes0FjcUDoFN5bVIyM4Ggmu/nii7AYsiy/DWkslgnTuKPGLl5hsWB1zT81b2+N3/ukmIWGNpwLJAQ6lFCh4OT67ypTj7IrdyItMRJJ/GFaVTcXXh6VPEu15S9Bm2YUpwbOR6ZGLfJ9SLIld6/DD3V9tSNoJFaeGP8VI7lsyTQARoTF8gcP3OJzA52TX9dV/Xv8bfr9yP9YUTcaKkjqcXbGr2zeWHcefw9PLd2F5yWSsK5+BP245MSB2/XnrnSAinBjbJAm+1idXQSkT3hYsKarBvLwJYIjBE2Ur0ZYyCUviS1EXkg4Fy9twL8bki/KEzF6/N9IrAB4UIAlAsmlKt9x755b7MDV9HBL9QzEpOQevbT/d69p9JZ4tUSuQ4zUOYzzHYlZY84h605DkmgYVaVFM88X7VkRNUJAaae7ZDt/faOKXk1196+qE8+NbH8Yt9QuwpKgGh2ctF6uqrtbft5/GxsrZWFpUiwcXbsHFY8/2yaruFGsOQql/QrfxU1NeOZYU1WB9+UwoeBnWWibiYE4DFseV4MbE8m65t85SCZVMYRM/XR3vyRgZCqhRPIMl1AIX1tWGexePPoObqucgWuEHHzKjLnj2NZ2FGxO2oNS3EhkeuagImDyi+kBnhDWBiJBGlZLYy0yR0PL6UTm2zmFJZ3JyMj744AN89913MJlMeOONN8S/i4iI6PN6J/z6ljXh/PzAY0gOEGYw6TgD5KwCLMPY1Nq/uqUd3noTWIZBuNEbMpaDQaXFz9fcZjf43t/7ILRyJcJcvNCe34T7ihdjrE+U2KfppTbAU+0iGm8QEdSMFnJSiHX9tSHpeKR0OW7LngWz1oQwD19800eJSWVSNmSMDGGUhhQqRxAlgCEGK0rqJJ+rTc3r7FeQQUlaEBG0CjXe7hx90PVpXF+HaHXCVvio/YTeUHIBT3LBeW0EDScvMgsJph/FIIXKEUGZkJEC/pqgERWAXg/wOdl1/fSf1/+GtUWTBVMMVgUNJ/RUjo/LwLdHfyqe1W+OnEVpbBqICL5aV5iUwplumzhrQIFbbng8FJwMG1Oq8eT4G7A0vhQsIww/V8sUCDUIvd88K/Q/yUgODaMXeyzDDFe4V2COAceyfXL07vnrQUTwplAk03hEUy7UrBYh7mYJ9x5auEU0XFOTXhykfmjm8l7X76ncNsdrHIgIclJB1cnCCJcYbEja6fBz2h8tiL4BPCODgTyRSMVIoCK4kAdkjByLY9Y4fH+jiV9OdvWuqxPOn63eD61CBY7h4MKZwBADT53Jxtn1wPQlYBkWLgo1AvXuQptQcDTO3/643ew61nADiAg1wal4pHQ5DuTMhqfKRTRzDDV4QcXLwXZygyEGOsbQacLFQM5yNty7On7qLt4zqfXQsybEUwGSqBRujC84lpOM1jt/4HG4aw1CTzypwZPQxxmoDRnQOWgIbxXiWeKgZQSzSR2vx6KYVQ4/o/3RRstu+Kj9ICcVIikLKVQOX4oCEaHMr8rh+xtu7AKuIel8+OGH4eHhAbPZjJqaGvHnv/rVr1BSUtLn9U749R9+LfmVULAKpNMklNECFNN8+FEMWIYR33h+f+J5JPmFIsbki39Mu0UcpD7GKxy+Rne7n7o919kXFahzF5NIP60rWGJQE5yKi/NP4uL8k6gItIAhBhYqQym1ooSaEUqCdbeHToATy7AoT8jE23vu6/N7Lxx6CvPHVogOtjqlBuvKZ0jGpjy5bGdn03us+HQ8jSrBEY9Ev1DbQK2Pt50p7kKCliHe3yb4UTQYYrB0hLzx3GTZgyJzOdScRjRCiTdZsDrh+gyFH0ngc7Lr+um5BVtFk5gSakYptSKJSsEyrKTPcVv1XMhYDg+WLMWl+afwzbw7sD65SuhRWn2rXez67ugz8NKb4K02QMkJxht6uQpGhQYmhUYsP3uwZKkNR9KpCjwjg4/BTeRelLc/HluyvV/ffaLxRpgN7p3cYzAhXsq9juPPQcUroCWj2AdUQA0wkCd4hrOp1rhaXcttF3ErMTu8pZv7WwKGWBT7Vjj8nPZXjREL4aUyi/fcR+2HeZGj03nbkfxysqtnXZ1wfnf0GXjqTHBlfFBADeIoED1rgqVLn+Nft50CwzBojh6Hr+aeQEfzaTxfsRY6uQqL7JwnfLn9HJrzJ0LFy+GpchE5EqAVePRY2Uqhx3P2YehlamjIIOGIkbygkaug7IyfDCqtTfzUk/645QSyQuPEMxju6WfjtFsYk9wZ7423ifcm+NfYdQY2JO2EltfBRGbxDWseTYeWjDCr/R1+RvurVQlbEGtMBNtpOKfhdSj1qxyVD/uvlV3ANbrXfvrpp3j11Vfxww8/iD/76KOP8N577/V5rRN+/YPf9yeeh1ahQgglS17fF1MT5KwCm6sacLldeMtJRHikdLmktOJX1ZtBRPjpyt12gW92VgnCDF64NP8U3pt1O96cvg+X5p9CXWgG4kx+V/oM9F7woQibXkId64K5uePxxs67B1Ti++XBJ/GPHT/ptvk+KywOPMlQTM2S7w0i4eBL1unjbecmyx7IGDlCusyYst5fnuQo8Cl1+CG3RxuSdmJp7NpRa9c9WOBzsmvo9Z/X/4bZaeP1FKMfAAAgAElEQVSgY402PS8+FIYo70DxnEZ6+WN6eJaEXRfnn0SQ3gNzcyfYxY4nlt0MIsLvarfi/JxjeH3qLbgw9wTuLxZGsPxlyi6x7ExOCklZp8CRJLiotPhg34N4a/c9/TIv6qpLx5/tkXv3tW4EESGZJki+M5NqQETYObm5X99hTT4jKQZaMtjcX28KhYfS2+Hn1B5tsuzBirg2rIzf6PC9jFZ+OdnVvbrr4bRyJIvqrurXKxU4su0kLrefw/qKmTAo1LjQmXBatSJhPIxqrV3s+P7E89ApVFidVIHvmk7iH9NuwUezD+HLOcehlSmwKbUaHc2n8YfJ2zs5Ml6ytzFUK8SBi7f1GD/1pd64J+fkMHcT7ylJC3elp11nYFroXBBJZxOX0QIkdd7fxTEjq190TeJWLI1dizbLLofvZTiza9BGptj7xwm/7nW1adDFY8+CiBBDeTZN3rouBhU/W71fDLS6gu+9WbeDiHBvy0a7wFOZlI18c7RNM/vKxAnw1ZrEf3ZT6G0S4jJaAFfGB7UpeXYDrz+K8w2GmvQ23xlNOSAiyVypy+29v+1ss+zq0QBETXpkeuY5/JA7Nfjgc7JraGU1DqqKz4Ab42tztoIpSWJQ4a03YXVShQ1vcnwiUZOSaxcfftJZ5vpxw+FuH8C9VLURHc2n0RpbBB1j6JYjLMPYnWz2R/unLuo20CogYWzI8uLJdq0XTCFwJdv7G0RJ0MsMDj+nTg0vfjnZZaueTIOsHBlHc65K7CZLjHkWjpuEMIOXDbv2Z80EYydHrPHe7TkNNusF6tywJL4UHc2ncW7i+m4TYitH7I33+iuO4Wwe0JfRAhjJy27eVAdNAxGhkOZ2mzjPi1zi8HPq1OCzy5l0DiP15FKbGhgFE+MtsbPOoEkgIjywYDMutwsGQlqFCks7oWTVzRlTwLEs/tWl17E/2lXXAhnL4fWpt4hrfTnnOPy0rqgKShF/Nt4/EWrSS94W5NI0sMRi39SFQwK+xYXCLL1MqpE2vZMH9EqNzef7ettpVvvBRNL7m05CaV99SIPDD7lTgw8+J7uGVtbxKLvrWsAyHPJouqSKQMu6YHLqWPGM1iTnItTFSyxP62g+jb/V7wbPcthbbx9H3tx1BgzDYM+Y6RIWLogtgppX4Is5x9HRfBp3Fy7oliNGxguZIbFDwq63d98LhhgEUaIk0IqgTBARfr3hsF3r7ZzcDI445NEMyf1Vkx5xxiSHn1Onhhe/nOzqhlM9uNS+uesMGGJsRpEFUBy0chW+OiQYCt3T0gYiEudlWs3H0jxDMCbUfo6kB0VhjFe4ZFydNcm8t2gxOppP4/PGo1CwMgRdNaIpgjLBMvbHe/2Vj8Gt23iPiEG0Id6uM7A0VnAZj6Jsm/urYJWjctzIaJAz6Rwl6m0sivWJm4E8EUN5CCELOJLB28VN0qu5paoRRIS60AwczZuLxsg8sAyD1vxKu+Hyya2PQMHJ4K7UYUtqLfZmzUCk0Qcsw8Bb7YIdGfW4OWMKfDRC87cL44ZoykEYpUHFahDo6o0vDj4xJOC7cOgpqGVKcCRDCCUjhnJhIE8QEXbVtXR7TW9vO2eENoEhBibyFu8vT3KY1X6jvlRipMqZdA5fdR2P8tltj0ErV0NOKoRRGqIoG1oygmVYiYX/7zYehUqmQLyrP/ZlzcCm1Gp4ql0Q4u4zIDOOBL8QsMRgbtRYHM2bi5rgNLE/akl8KQ7nNqLQN1Yw3mAUIkdMjDdYhsUzK/cMCbsut59DflSSaDgUS/mi8UScOdjutT478Bj8TJ5Qs1qEUzqiKBs6MoEnGabSLIefU6eGF7+c7Lqi/oxFKYpJAREDP4pGLOXDi0JARGgeWyF+5rujz8DiHwaDQo01lok4kDMbGV5h4NiBceS2aYvAECHDMxS35zRgVVIFNLwCHMOi2C8eh3MbsSiuWDQj86EwkSMMDSze66+EcVQMdGQS4z0ZKcERhwam2e5zYHFLB9PN/S0yT3D4GXVqaNjlTDqHgfqawzk9swhGhQZxpk6HVV6JFPcgEJFkrMD3J57H7TOWIsTdB0QEs8EN22vm9auJ/GqtmTAdRIR0z1AoOB4MMUjzCAHPcHDV6MGxLHiWQ1VSNs40tyE/MgkMMVDwMkzPLMI7t/RtGnQt+seOnyDKO0B009Uq1Li5tqnHz/f1tnNGaBPMan/BBZJVINV9DNYkjk4TntEgZ9I5PGVNOL/fL9jzP7JY+P8p3SMUclbgSIp7MBQcj/UVMyVn9JfrDmJclAUMw0DJywfMkY/2PwSOGEQZfOCtFszMgvUeCNC6Qc5yMKoEh9d432CcaLwR88dWQC1XgoiQFhRtd/+7veo4/hwmp46FjBXcKDmGQ0lsGr49an//1eX2c/jX7ntRnz4Ock4GhhiM9YrFC2VbrhgO2TE6yqnRzS8nu6Sc6u1cXTj0FAwqDaKMPvBUCRwJ0LojUOeOCE8/Sdnsp7c9ivljK6BVqETn2oFyJMjNC3qZCgmuQjyikymR3Bnv+Zk8QERw0+hxY1k99tYvRICr4MTtrXcdcLxnj47OXgmjWtdpOMQgyM0bZ/xXDmiWcJtlFwp8yqDlBedwo9wNFf61o9aEZzTImXSOcPX1tO37E89DycuxObVGLNuwuju6KgVnsu6uG+iMKKsC3bwQbTSLhh7WUo+GyFyoZQp0HH/Opnfy0vFnh6QPqq8Ari/HR6v6M2S9zbLLCbwRIGfSOTz1f8++KCacl9vPYVpGIeJc/brlSLinb7fn9Fo5snqC0Cv01/pdIjM7mk/jifHCKIL7WzfZ8PH7E89fMzMHov6yq78s7BpwfjnjLlHOBHR4yZl0Olbf730U3+/rPel8eNFWifHY1Rx5ZfNxm2uulSMXjz4DlhibeO/reXdAL1chKywOF4/Z8tER7Pr26FkxBuzveLre5KwqGxlyJp0jWH294bzcLgRgDMNgX9YMSX/Spfmn4KdzxfIS+4wn+isfgyvGeIXbNLMviS+FkpNdd8ANhgYDjE4NDzmTzuGn7nhWnZyLLO8IG44sjS+Fn9FjSM65tef7vVm3S77z51VC71V7440OZ5Ej2OdMQIePnEmn49SfstrL7edwpnkDiAjvzjwg4chLVYID9S/XHRz0c/r14bMgom7jPS+1C5IDwwf9OweLL06e/DjkTDqHqf7z5ec4c+IYygoLkZmailVLl+DD1/5qN/gut59DQVQS4l39JSYb1hlzExIykR4UhYmJWf2eJdcfTU0fB4YYvFxzk/idH8w6CHelDuFefg6HXMfx53C6aS2KY1KRERyNG0qn9FmK1zXgcvTBdcqx4HOyq3e98tLP0DBtKjJSU1BfPQn/c/apXj9vTTi7vuW83H4Oh2ctB8sw+E0Xjnw4+xA81C5IC4pEdlgccsLjsbuuRTTmuFa9svkEGGKw1lIpCdrqQzMhYzmcP2B/j+hg6+W2I5g5phjpQVGoS8u3exbptajHBNQZNI56fv0Y2HX+X29i89rVyEpPR+HYPBy7dR8uf/6J3XHX+3sfhIzjscYyUcKRqWFjoFeqMSE+A+lBUWjJr8Tft58etPPpqtEjxuQrifce6Iz3tlXPdTi7Pr71YbRNnIXMkBgURCXhyKwV+O7oM86H+j8SOZPOYaj/fnUejTOEnsi8nGxMr58CFxcXeHp44M1XftevN5xd9ct1B6GSKRDq4oXVSRWYHp4FjmEhYzl4qQ2YHp4FS2fN/8bK2YMClg/2Pgg5x0PFydEUnY/lCePhodKDZ1g8tHCLQ6H3/YnnMXNMMYgIuT5RmBKaCReFGp46I167+a4+Ay4nGEe+nEnn0Onxe+4Gz/MIDAhAw8zpiIqMABHhxIFbe7zm6rJaq/59+Gkk+YdCK1OKHPFUG6DgZJCxHMoDLSgPtEDGckgNjBi0xDPUwywYUvjGYUNyFdI8BIOKgmiLw4O2BxduAc9yCNS7Y2Z4NiKMQg/+sYaV130vXRNQ6+xPZxI6evk12tn1yRuvISQoCGq1GnU11SgpHAeGYTChuAgX9zxkV9x1uf0cNlTMBBGhxC8eG5KrkOkV1tnLSEj2CMb08Cx4ql2gVagG7c3nTZPmgmUYBOncsTqpAtPChHhPLVPguyM/dSi73tv7AILcvKHmFagJTkORXxwYYjAhPgOfTzvlZMaPQM6kcxjqFz99WijjOnIQ6PgW6PgWn7//NgIDAlCbk2c3+C63C+6ONcm58NabEOnlDz+jO5I9gkX7/47m01hjmQiWYfHmrjPXDBfBpYwQYfCGkpNBwfII1LlBI5OLs0EdpRdWCTNJj+XNlcwj9dO59jkb1Pm2c3TImXQOjf73/KfwNftgQmkJ/vebr4COb/Hfi1+jYeYMaLUafP2+7e/c01tOqz4/8BhuLKtHsJs3zC6uSA6IgJzjJW8/f1m9GTzLYXcP7tP26PMDj0HJyxDh4g29XAU5y8Ok0CBY7wF/k8eQG230povHnoXZ4IrxAYn4Zt4dYq/rzPBs6BQqfHlwcJLugarPJLRTS9Qja3D7cJMz6RwaLW6eD5PJiLdf/6sYez396EMgIpyZdYPd5+H7E8/jzrmrkRYUCS+9EWlBkWCIwYbkKpFd5+ccQ5J7IDKCowflDFYmZcFdqYOP2gA5y0PNyxFp8JHMBnWUWgsq4arU4h/TrozSe7h0OYgI97VudD7U/xHImXQOQ92weBF8vL3x34tfi+BDx7fYuXUL5Lzsms123r3lfhAR7hq3QFL3f37OMfAsh1unLb5muExOHYsUj2CbXqzm6HEIdvN2KPiWFU+GWWvCxfknJXu7Ka0Win7cXycYR76cSefQ6LcvPCf0K73wnIRd/3rtLyAiPHrmLsnn+0o4u1NmSAwqu8z6tao8IAk54fHXzIf7WzeBiPDGtH2S9Z+tWAMiwm83HnEYu36x7nYQEX5WuUGyt7/V7wYR4eFFWx3K1u5YebWcyejI5ddoZtcPF75AgJ8flixolbALHd/CkpCAekvuNZ+HvfULoeBk+LLLw/6O5tO4M38+iAgf7Hvwmta/dPxZ8CyHHRn1kvW/azoJT7ULbiyrdygP/IweWBRXbMPuBLcATM8sdPZ2/gjkTDqHoVYuWgizj49N0rlr202Q8fw1J53v3HIfiAg/KZQmnV/MOQ7ZICWdtSl5SPUIsYFLS0whgty8HAq+pUW1MGtNuDT/1FVJ5+R+JZ2X2/vnZOvU8JUz6RwavXxOSDp/9bPnJex6+/W/9px02pFwXm4/h4zgaFR1k3RWBFqQHRZ3zXy4r1Uw+nhzujTpfL5iLYgIL7c5Lun8n7UHQER4sbJNsre/dyadDy26yaFs7a+6S0bvVG7sMRl18nZ48Gs0s+uHC0LSuXThApukMyUpCfXpBdf87/0t9Qug4GSSfsuO5tM4WdAyaEknx7LYmTlVsv7F+SfhpTY4POn0NbpjcVyJDbuT3AMxLaMQl9vPCQ+lnEnnqJUz6RyG+p+zT4GIcPL4ERF65z94B0EBAahOvvanbZfbzyE5IBypHiGSJ27rk6vAMMyglNeebhICtKcnrBLXf33qLTAqNINaXruxcjaMah04hoNOocHiwmqbz3Qcfw4Hpi9Bkl8ozC6uyAqNFcqX85skJkcBevc+y2u7Bk3OIGjkypl0Do3+9/ynMPt4o2J8Gf7v2wtAx7f44dI3mNc4G1qtRvI7D+Qt5+X2c9he0wQ5x+O3tVvF8/ubmpsgG6Ty2s8OPAaVTIGm6HzxwdQ38+5AqX8C/IyDV1773I23IMzTFzzDQ87JkB0ej/f2PmDzuRdX34oJ8Rkwu7jC4h8Go0qL8kCLOILh0vxTmB2RC51ChS8OPjFobB1u6k9SOlqT1Kt/r/m00Jl0DoEWzW+Cq6sJ7/7j72Ls9cwTj4KIcE9L2zX/O/zazXeBYRhsSq2WPOy3uAchPShqUM7JxMQsBLt44KPZh8TvOJzbOKjltecPPI6S2FQoeTl4hoe/ybNbr4739z6IRYXVCHLzQpCbN+L9QuCq1EmqSB4vWwkiwr0tG3G53elkO9rlTDqHof771XnMnlovGFfk5WLW9Kkwuhjgrjfgr9tODQo0Xlx9K9RyBbw1RsyOyEWqp2CUcfXA9YHqu6PPYFyUBSzDYHxAIupCM6CRKRDs5o33917b0zyrrGZABvJECKXAlQTzj8KYZMnnGnPKwBCDyqAUrEqqQJTRByzDgIiQb47G9PAsGBUaeOgM+Nv2/t/f0RbY/JjkTDqHTo/cfRc4jkNIcBDmNc5GbEw0iAhH9+8VPzPQhPNy+zl8cfAJJPqFQs7xqApKQWVQCuQcj+SA8EHrabxt+mIQEeJc/dAYmYcgvQd4lhu08tXnbrwFLLGQkwpBlABfigJLLLRylcQd97El28GxLOJc/bA6qQIVgRYQEViGQYiLJxoj/7+9e4/2uq7zPf7ZXAQBL4h4N0FgA8KWywYUb6R4A5xQMynEnFQwxTGVUtNSvKAjipqXiUkzraSzTsfErnqoaa1TnT9mHWvV0kWpmUecKTUFMw0Ue58/9uxf7gMmyO/z+36/v/14rPX8o4EChf2e32t/92VajNlln0gpxb98/KK6/N6apa0dqGXu3r5Xdvlne+mOh43ODP3nr5+IofvtFwMGDIi5c06NmccdGz169Ihj2ybX7XtZXvZf3wd4yu7D4oyRR8Qe/XeO/tv1rdsg/OW198ag/jvGLn0HxLzWw2LaXqMjpRRnHHp8Xb4P+uvLH4ldB+wULakl9kqtsX+aEH3TgGhJLfHV+ZfXft5/3PpgDN11zxjYp398cszRcc6Y6bHjdttHn169Y0DvvjFn+NQ4/gPjokdLSxw/dkqXf7+edjZvRmdJ2/jyi/GVz3w2po8cH5P3Hx0XHvuReHrpirr+P+VfXntvnD3thGjfrzVmHnhw3T80609f/H584bR/isNbD4yDho6Oz3/o4/Gftz1Yl//tF25fGT1Sj9g7tcbx6dyYkc6LGem8GJrGR0ottfH42OIvRUopbj/8jNp71v509pfj8D1Hxr4DB8f00RNj8pCRceGxH4nfLv3GVv0ePO2sbkZn3v7931bF6XNOjUkTxscpsz8U//adlV1+/P18WO07++Od347rT5kfU4eNianDxsT1p8yv+xfRefTTN8dJEw+P9v1a47Spx9T1w2qH7bZ39En9Yno6s3a7pqYPR0opPnHYzNhwT8cXIRm1xwdi+j5jak81/3LO/XHTIR1f2fyEcVOjfb/W+HD7EbHqM8vq+s+ucmd05uvFp38Tn7/k0zFlyMg4YkRb3DHvU/Ha8vp91df1d6+Kby68OmYeeHC079ca86edEL+67it1/fvx1I0PxAXHfDgm7dcaRx/QHved/dn4y5f+Z13+t6+cfUbHV99NM2u365g0P/qnnWPwgJ1rP+/yE+bFgN59u3zRoCc+ujT69uwd00aOiylDR8URreM2++/X6GzejM6StrXfFqW7dee8CyOlFIekU2qHb0Y6Lz6YOr5E+aePnxMb7vlh/PNHzol+vfrUvtJjZ187+ryObwC/mQ9n25o87axmRqfbVmQ9W3rG/mlCl9s1I50XO6WOr5C74Z6OF44ppfjvx32qy+1ae9bdsV3PXnHLxxYW/s+hYjI687Z+2UOx/pbufaPerfH7Do++aUCXd/bPSOfFqHRIpJRq43bKkFExZ/jUTT5/86T9J8ehw8f+3V/Dh9g2b0ZnCfOi7L277+yOzxmdkmZ3OXyHpY92+X6jt849P3r36BkvfGJ5l8P3xWlnRkop/vCFbfv37GlnNTM63bYi692jV3wgjelyu45P50b/tHMMG7xXbLin4/OhUkrx5SMXdLld/3HGXdGjpSXuOv3Cwv85VExGZ97cqHdvytBR0Tv1jePSJ7vcr+FpUrSkltroPGxEW8zab/wmo/PofcbGUaMnvOev42lnc2Z0liwvyras15c/Er179IqBac84Jp0dM9J5cWxaELunIdEj9YgXbu/40L1nbvpv0bNHjzh37DHx5/kd3yLld6d/IUbsvEdMH12fb/TuaWf1MjoLvG/b8GG1zdJB+4+OHqlXHJpOrQ3OsenILu8w23DPD+Pw1gNj9MC947mP31H71gdnjz4yevfstc1f6VLVzejMl6ecf7/Od/i3poNrTzuPSKdF79Qnhu22d+3n3Tb3n6JnS4/4/ju+mOTDMxZFS2rZos8/97SzOTM6S5TBuXXd8rGF0ZJaomfqHbumfaN36hMppbhkxse6/Lxb554fKaX4wA67xvR9xsT2vbaL3XcYGL+89t66/D487axeRqf7VmRP3/hAbN+7414NTHvEgLRLpJRi+G57d/ncq59ffXfs2n/H6Ne7Txy9z9jYZ8CgaGlpiTs95ezWGZ15Mji3rIP27/jiRP3STrFL2itSaonePXrFv1+5vPZz/vTF78f00R1f+Gzy7sOifbf9I6UUx4+dEn9e/sgW/Tqd39O36NcLKs9rL6PTC7JC+/Flt8XBww6IPXbaJSZ8YEQ8/KnrN/vz/vfn7or5006I2RMOi2tOOjOev/V/1PX34WlntTI6C7pxnnLW+v1t34q5Bx8de++8awzddY+44h9O3+wX+3hu2Tdj8Yn/GLMnHBbnHPmhQr9PqMqR0Zknr8G2vBtP/WQM323v2HPnQTF7wqHxzGa+EOOflz8SX51/eXxk8gfj1ClHxtcXXLFVXwXY087my+gswwuxZQ85dhXP085qZXQWc+eKfjuVmiGjs/55ylnOPO1srozObv5C7PV/fTSeXrqi7t9uoDvmaWd1Mjob18bVj2e7c88t+6bPbVS3y+isb0UMzj/e+e14eumKun3/z2bN087myugsqKIH5/q7V8XNHz0v9thxYKSUYruevWLe1GPixdt9+Nu2Hsei36iV//B159v1vm5dnV/Q/a/P3h6Th4yMlFKklOKgoaPjp5ffWfgNkBqR0VnfGvla7A9feChOm3pM9O7ZK1JKseeOu8Stc8+P9XevKvzvVVnzlWybJ6OzqBdhBT/hvGnOuZFSin8cdUR86/iL4rqDTo2d+/SLw0a0OX7bkPfIVSOjszHleMr5q+u+Ev236xsTBw+Nrxz1ybj3qHNiwuAhMaDP9vHEkvsLvwFS7ozO+tXIp5zr714VU4eNiYF9+seSg+bEt46/KD4+8vBIKcWtc88v/O9VWfMhts2T0dngyjA4/7z8kdh9h4HxiVHTunz/pJUzLo6UUvzwklsKPzJVzdPOamR0NvDe1fkF3dnTTog9+u8cfzzzS7Xb9dKZ/xq799spzj1qduE3QMqd0Vm/Gvl67JFFN0VKKb476zNdXnud3npY7LXTIB9q+3fyDv3myOhs9AuwEnwxjd/889cjpRQPz1jU5fC9seC+6NerT9x46icL/z1WOcex/Bmd1b137fu1xhkjj9jkm46f1npoHDR0dOFv/1LujM761OjP5bz+lPmxw3bbxxsL7utyux48/qJIKcXTS1cU/nerrHna2RwZnRV/AfZ+evH2ldGrR8+4cerHuhy+1R+7OVJKcf/8zxb+e6xyjmP5MzrzlvOLB81oOyim7D5sk9HZvtv+8aHxhxb+9i/lzuisT41+TfblMy+JltQSv5l7S5fbteSgObFdz16+oON75B361c/obEBlGpydzZlyVOzSd0B8b9Yl8caC++LXc5fF4XuNikH9d4y1d3238N9f1XMcy53R2YCbl+kJwjcXXh0ppbhy0snxyll3x8tnfimuaD8xUkrx0AXXFf62L+XO6Nz2iviKtS/f+Z0Y2G9ATNtrdPxm7i3xxoL74jszPx0D+/SP06YeU/jfq7LnHfrVz+hsxIuvkg3ODfd0fGPyg/c/IFJKscN220dKKXbpt0P86JJbC/+9NUOOY7kzOvOV8ynnhns6vhjHZbPmRktLS/Tp2Tu269krWlpa4op/OL3wt3upERmd215Rr8tWfWZZDOw3IFpSSwzo3TdSSjF12Jj4wxfK9zqxjHmHfrUzOjNW1sHZ2fq7V8Uji26K60+ZH18567J45S4f2uE4do+Mzsx3rwFPEFbf8NW4+aPnxbKPLoxf3/C1wt/epUZldG5bRTzlfGcv3/mduPesS+P6U+bHo5++2XcM2Iq8Q7/aGZ05X3iVeHDKcezOGZ15yv2UU5LR6UZ177xDv7oZnRkyONWZ41jOjM6Mt6/AJwhSd8jofP8V/ZRT297/ab3F66qKZnTmeNFlcOq/8rSznBmd9c8TBKkxGZ1uVHfO66rqZnTWMYNTm8vTzvJldNY/TxCkxmR0ulHdPa+rqpnRWacMTr1b3itXvozO+uYJgtS4jE43qrvndVU1MzoNTjWge/te6b1yJcrorG+eIEiNy+h0o9TxtPOCfpcW/npCjXvt1e1Hp8GpLcl75cqV0Vm/PEGQGpvR+f5GZ9F/bqpv9/a90uisWEanwakG5WlneTI66/tizhMEqXEZnVuXd4w1Z/f2vdI78yuW0WlwqkF52lmejE4v5qSqZnRuXeuXPRTrb11Z+J+b6p8Psa1WRqfBqQbmaWc5Mjrr+GLOU06poRmdW553jDV3nnZWK6PT4FQD87SzHBmd9RudRb9NSd0to3PrbpSnnM2dp53Vyeg0ONXgPO0sPqOzTi/mPOWUGp7RuXV3qug/L+XNFxSqTkanwakG52ln8RmdXsxJVc3o3LJ8aG33yIfYViej0+BUAXnaWe3DV5XblXNwuolSMRmdW3GnfGhtt8iH2FYjo9PgVAF52lntw1eF25X7xVzRb0NSd83odKfUNR9iW42MToNTBeVpZ3UPX9lvV+4Xcu6iVFxG53vnQ2u7Vz7EthoZnQanCsrTzuoevjLfrkaMzqLfdqTunNG5ha/hfGhtt8rTzvJndBqcKjBHspqHr6y3qxGD022Uis3o3LJbVfSfkxqb11Plz+g0OFVgnnZW8/CV8XZ5ISd1j4xOt0qb5kNsy5/RaXCq4Lx3rnVOJaEAAA6YSURBVHqHr2y3q1Ev4txHqfiMTq/ltPm8nip3RqcjpYLrfO+cQ1mdw1em29XI0Vn024oko3OLXs/5fM5umdFZ7oxOg1MlyKGs1uEry+0yOqXul9FpdGrzeS1V7rr96DQ4VYY87azW4SvD7Wr04HQnpXJkdBqd2nw+r7PcdevRaXCqTHkPXXUOX9G3q4jRWfTbh6SOih6dC9LCwm+S13V6t7yWKm/ddnQ6TCpbnnZW5/AVebuKGJxupVSeyjA6z2+5uPDb9K6v7Tzl7NYZneWtW45Og1NlzbGsxuEr6nYVNTqLfruQ9LeKHp2Xjb8uzm+5uJTD0+iU11HlrduNToNTZa7z+3Y6mOU+fEXcrqIGp3splasyjM7F7TeXcnganTI6y1u3Gp0Gp6qQg1n+w9fo21Xk6Cz67UFS18oyOhe3l294Gp3yqUrlrduMToNTVcnTzvIfvkbeLqNT0jsr0+hc3F6u4Wl0asM93nlf1rrF6DQ4VbUczHIfvkbdrqIHp7spla+yjc7F7eUYnl7rqTOvocpZ049OR0hVzNPOch++RtyuonM3pXJWxtG5uP1vw3Pj6seLG52ecuoeo7OsNfXoNDhV5RzN8h6+3Ler6NYveyjW3+J2SmWsrKNzcfvfhmcRTz2NTnXm9VM5a9rRaXCq6nnaWd7Dl/N2lSG3UypvZR6dnRUxPI1OdWZ0lrOmHJ0Gp5olh7Ochy/X7SpL7qdU3qowOhe3N/7DbY1Odea1UzlrutFpcKqZ8rSznIcvx+0qSz60Vip3VRmdi9sb++G2Rqc6MzrLWVONToNTzZjjWb7DV+/bVabcUKncVWl0dtaIp55GpzrzuqmcNc3oNDjVrHU+7Sz6WDRTRqfRKVW1Ko7Oxe1dn3q+9eiPjU5ly+gsZ00xOg1ONXsOaLkOX71uV9EDc3OD04fWSuWuqqOzs1zj0+hUZ14zlbPKj86Xv/Vdg1NNn6ed5Tp89bhdZR2dRf9dl/T3q/ro7Oz/H5/bOkCNTnVmdJazyo/OF5c8UPhfbqkRGZ3lOXz1uF1Gp6T3U7OMzs7eOT63ZYAanerM6CxnlR+dL93xcOF/uaVGdH7LxXF+z0WFH41myOjc/OD0obVS+Wu20fnOtmWAGp3qzOgsZ0anVJF8iG15Dl89blcZR2fRf8clvXfNPDrf2TvH5719rzQ6tcUZneXM6JQqlKed5Th89bhdZRqdG1c/bnRKFam7jM53tiXD0+hUZ76/eTkzOqUK5WlnOQ5fPW5XmUanD62VqlN3HJ2L2997eBqd2nBPx1NOr5PKWWVH57p16yKlFM8s/Ua8dMfDUrdpQVoYl42/TtvQRW2f6xh+69YVdruee/xXse7//q4UvbjkgcL/Xkvasp5Z+o1C7lfn7bqo7XOF3e4FaWG8uOSBzd6xl7/13XjxhhWF//mo2O7qc2mcs/2Fhb/O0KZt62uvwkbnmjVrIqUkSe+7NWvWuF2SKlmj75fbJakevd/bVdjofPvtt2PNmjWxbt26ePXVVyVpi1u3bl2sWbMm3n77bbdLUqUq6n65XZK2pW29XYWNTgAAAJqf0QkAAEA2RicAAADZGJ1s4sEHH4yJEyfGuHHjYtSoUXHUUUdl+9yTH//4x9He3r7ZHzvjjDPijjvuyPLrdv7ajz76aO0//+53v4tBgwZl+/WAvNwuoKrcL5qd0UkXv//972Pw4MHx7LPP1v5vjz32WPz1r3/N8usVefiuuuqqWLRoUe0/O3xQXW6X2wVV5X65X92B0UkXP//5z2PPPfeM1157bbM//uSTT8bMmTNj0qRJceCBB8Zdd91V+7GUUlx11VVxyCGHxIgRI2LFihW1HzvttNOivb092traYtasWfHCCy9ExJYfvjfffDMuvfTSmDx5cowbNy7mzJkTa9eurf28c889N6ZPnx4jRoyIk046KTZs2BARHd+X7OSTT46RI0fGkUceGfPmzYtFixbFL37xi9h9991j8ODBMW7cuLj66qtrh+/zn/98TJw4MYYNGxbf+973tv1fKpCd2+V2QVW5X+5Xd2B00sXbb78dJ598cgwcODBOPPHEWLp0aTz//PMREbFx48aYNGlSrF69OiIiXn/99Whra4vHHnssIjoO3+LFiyMi4re//W0MGjQonnvuuYiIeOmll2q/xg033BALFy6MiC0/fEuWLIlrr7229mPXXHNNXHDBBbWfN3Xq1HjjjTdi48aNccghh9SO7sUXXxxnnXVWRES88sorMWTIkNp72Db33raUUqxcuTIiIn7wgx9Ea2vr+/sXCTSU2+V2QVW5X+5Xd2B0slmrV6+O5cuXx+zZs2OnnXaKp556Kp544onYfvvtY9y4cbWGDBkSX/va1yKi4/B1HsmIiNmzZ8cDDzwQERG33XZbtLe3x9ixY2PYsGFx6KGHRsSWH77JkyfHyJEja7/u6NGj44QTTqj9vJtuuqn237vwwgtrR3LChAnx05/+tMuP/b3D179//9p/XrduXfTs2fN9/hsEiuB2uV1QVe6X+9XMjE7e03HHHRfLli2Lxx9/PPbdd993/XmbO3wrVqyIn/zkJzF8+PB48cUXIyLi4Ycfrh27LT18kyZNih/96Efv+fMiIhYtWhRXXXVVRESMHz8+fvazn9V+7L0O3zs/r+C1116LlLyJQFW5XUBVuV80G3+qdPH88893ee/UK6+8Eq2trbFy5cp46623YuTIkXH//ffXfvypp56Kl19+OSI6Dt8111wTEX87Is8991x8+9vfjokTJ8bGjRtjw4YNMXPmzK0+fNdcc03MmjUrXn/99Yjo+PCSxx9/fJOfF9H18F100UWxYMGCiIhYu3ZtDB06tHbsli1bFmeffXbtv+fwQXW5XW4XVJX75X51B/5U6eLZZ5+NY489NkaMGBHjxo2LMWPGxJIlS2o//uSTT8asWbOira0tDjjggJg2bVrtPWwppbjxxhs3+WT2t956K0499dQYPnx4fPCDH4zLL798qw/fm2++GVdccUWMHTs22traoq2tLb7+9a9v8vMiuh6+tWvXxoknnhijR4+OGTNmxLx582rH+Zlnnonx48dv8snsnRw+qA63y+2CqnK/3K/uwJ8qdZNSetevvFaUN998M/7yl79ERMSrr74abW1tsWrVqoJ/V0CZuF1AVblfVIXRSd2U8fC98MILtW+23NraGldffXXRvyWgZNwuoKrcL6rC6AQAACAboxMAAIBsjE4AAACyMToBAADIxugEAAAgG6MTAACAbIxOAAAAsjE6AQAAyMboBAAAIBujEwAAgGyMTgAAALIxOgEAAMjG6AQAACAboxMAAIBsjE4AAACyMToBAADIxugEAAAgG6MTAACAbIxOAAAAsjE6AQAAyMboBAAAIBujEwAAgGyMTgAAALIxOgEAAMjG6AQAACAboxMAAIBsjE4AAACyMToBAADIxugEAAAgG6MTAACAbIxOAAAAsjE6AQAAyMboBAAAIBujEwAAgGyMTgAAALIxOgEAAMjG6AQAACAboxMAAIBsjE4AAACyMToBAADIxugEAAAgG6MTAACAbIxOAAAAsjE6AQAAyMboBAAAIBujEwAAgGyMTgAAALIxOgEAAMjG6AQAACAboxMAAIBsjE4AAACyMToBAADIxugEAAAgG6MTAACAbIxOAAAAsjE6AQAAyMboBAAAIBujEwAAgGyMTgAAALIxOgEAAMjG6AQAACAboxMAAIBsjE4AAACyMToBAADIxugEAAAgG6MTAACAbIxOAAAAsjE6AQAAyMboBAAAIBujEwAAgGyMTgAAALIxOgEAAMjG6AQAACAboxMAAIBsjE4AAACyMToBAADIxugEAAAgG6MTAACAbIxOAAAAsjE6AQAAyMboBAAAIBujEwAAgGyMTgAAALIxOgEAAMjG6AQAACAboxMAAIBsjE4AAACyMToBAADIxugEAAAgG6MTAACAbIxOAAAAsjE6AQAAyMboBAAAIBujEwAAgGyMTgAAALIxOgEAAMjG6AQAACAboxMAAIBsjE4AAACyMToBAADIxugEAAAgG6MTAACAbIxOAAAAsjE6AQAAyMboBAAAIBujEwAAgGyMTgAAALIxOgEAAMjG6AQAACAboxMAAIBsjE4AAACyMToBAADIxugEAAAgG6MTAACAbIxOAAAAsjE6AQAAyMboBAAAIBujEwAAgGyMTgAAALIxOgEAAMjG6AQAACAboxMAAIBsjE4AAACyMToBAADIxugEAAAgG6MTAACAbIxOAAAAsjE6AQAAyMboBAAAIBujEwAAgGyMTgAAALIxOgEAAMjG6AQAACAboxMAAIBsjE4AAACyMToBAADIxugEAAAgG6MTAACAbIxOAAAAsjE6AQAAyMboBAAAIBujEwAAgGyMTgAAALIxOgEAAMjG6AQAACAboxMAAIBsjE4AAACyMToBAADIxugEAAAgG6MTAACAbIxOAAAAsjE6AQAAyMboBAAAIBujEwAAgGyMTgAAALIxOgEAAMjG6AQAACAboxMAAIBsjE4AAACyMToBAADIxugEAAAgG6MTAACAbIxOAAAAsjE6AQAAyMboBAAAIBujEwAAgGyMTgAAALIxOgEAAMjG6AQAACAboxMAAIBsjE4AAACyMToBAADIxugEAAAgG6MTAACAbIxOAAAAsjE6AQAAyMboBAAAIBujEwAAgGyMTgAAALIxOgEAAMjG6AQAACAboxMAAIBsjE4AAACyMToBAADIxugEAAAgG6MTAACAbIxOAAAAsjE6AQAAyMboBAAAIBujEwAAgGyMTgAAALIxOgEAAMjG6AQAACAboxMAAIBsjE4AAACyMToBAADIxugEAAAgG6MTAACAbIxOAAAAsjE6AQAAyMboBAAAIBujEwAAgGyMTgAAALIxOgEAAMjG6AQAACAboxMAAIBsjE4AAACyMToBAADIxugEAAAgG6MTAACAbIxOAAAAsjE6AQAAyMboBAAAIJv/B7bNl2GEg5OOAAAAAElFTkSuQmCC\" width=\"925\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Score -  Linear kernel - 2 features : 82.00%\n",
      "Score -  Polynomial kernel (degree 3) - 2 features : 81.33%\n",
      "Score -  RBF kernel - 2 features : 82.67%\n"
     ]
    }
   ],
   "source": [
    "plot_decision_surface(X[:, :2], models, titles1, ['Sepal length', 'Sepal width'], 'equal')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "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 / mpl.ratio, fig.canvas.height / mpl.ratio);\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",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\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 src=\"data:image/png;base64,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\" width=\"963\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Score -  Linear kernel - 2 features : 96.67%\n",
      "Score -  Polynomial kernel (degree 3) - 2 features : 96.00%\n",
      "Score -  RBF kernel - 2 features : 96.67%\n"
     ]
    }
   ],
   "source": [
    "plot_decision_surface(X[:, [2, 3]], models, titles1, ['Petal length', 'Petal width'], 'equal')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "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 / mpl.ratio, fig.canvas.height / mpl.ratio);\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",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\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 src=\"data:image/png;base64,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\" width=\"932\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Score -  Linear kernel - 2 features : 96.00%\n",
      "Score -  Polynomial kernel (degree 3) - 2 features : 95.33%\n",
      "Score -  RBF kernel - 2 features : 95.33%\n"
     ]
    }
   ],
   "source": [
    "plot_decision_surface(X[:, [1, 2]], models, titles1, ['Sepal width', 'Petal length'], 0.75)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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 / mpl.ratio, fig.canvas.height / mpl.ratio);\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",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\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 src=\"data:image/png;base64,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\" width=\"938\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Score -  Linear kernel - 2 features : 95.33%\n",
      "Score -  Polynomial kernel (degree 3) - 2 features : 96.67%\n",
      "Score -  RBF kernel - 2 features : 96.00%\n"
     ]
    }
   ],
   "source": [
    "plot_decision_surface(X[:, [0, 2]], models, titles1, ['Sepal length', 'Petal length'], 0.75)"
   ]
  },
  {
   "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": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}