Visualizing Implied Volatility.ipynb

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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CallAsk</th>\n",
       "      <th>CallBid</th>\n",
       "      <th>CallLast</th>\n",
       "      <th>CallOI</th>\n",
       "      <th>CallVolume</th>\n",
       "      <th>PutAsk</th>\n",
       "      <th>PutBid</th>\n",
       "      <th>PutLast</th>\n",
       "      <th>PutOI</th>\n",
       "      <th>PutVolume</th>\n",
       "      <th>Rf</th>\n",
       "      <th>Spot</th>\n",
       "      <th>Strike</th>\n",
       "      <th>Maturity</th>\n",
       "      <th>Now</th>\n",
       "      <th>Expiration</th>\n",
       "      <th>CallMid</th>\n",
       "      <th>PutMid</th>\n",
       "      <th>CallImpVol</th>\n",
       "      <th>PutImpVol</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>87.7</td>\n",
       "      <td>83.7</td>\n",
       "      <td>80.5</td>\n",
       "      <td>358.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>53.9</td>\n",
       "      <td>52.0</td>\n",
       "      <td>56.5</td>\n",
       "      <td>486.0</td>\n",
       "      <td>244.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5342.2</td>\n",
       "      <td>5250.0</td>\n",
       "      <td>2018-05-18 17:30:00</td>\n",
       "      <td>2018-04-17 14:30:00</td>\n",
       "      <td>0.085274</td>\n",
       "      <td>85.70</td>\n",
       "      <td>52.95</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.148765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>58.3</td>\n",
       "      <td>55.0</td>\n",
       "      <td>53.6</td>\n",
       "      <td>325.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>76.6</td>\n",
       "      <td>72.8</td>\n",
       "      <td>75.2</td>\n",
       "      <td>176.0</td>\n",
       "      <td>106.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5342.2</td>\n",
       "      <td>5300.0</td>\n",
       "      <td>2018-05-18 17:30:00</td>\n",
       "      <td>2018-04-17 14:30:00</td>\n",
       "      <td>0.085274</td>\n",
       "      <td>56.65</td>\n",
       "      <td>74.70</td>\n",
       "      <td>0.050173</td>\n",
       "      <td>0.152137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>35.9</td>\n",
       "      <td>33.2</td>\n",
       "      <td>35.1</td>\n",
       "      <td>719.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>104.8</td>\n",
       "      <td>100.3</td>\n",
       "      <td>108.4</td>\n",
       "      <td>44.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5342.2</td>\n",
       "      <td>5350.0</td>\n",
       "      <td>2018-05-18 17:30:00</td>\n",
       "      <td>2018-04-17 14:30:00</td>\n",
       "      <td>0.085274</td>\n",
       "      <td>34.55</td>\n",
       "      <td>102.55</td>\n",
       "      <td>0.061534</td>\n",
       "      <td>0.158330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>20.6</td>\n",
       "      <td>18.4</td>\n",
       "      <td>19.5</td>\n",
       "      <td>382.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>148.5</td>\n",
       "      <td>64.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5342.2</td>\n",
       "      <td>5400.0</td>\n",
       "      <td>2018-05-18 17:30:00</td>\n",
       "      <td>2018-04-17 14:30:00</td>\n",
       "      <td>0.085274</td>\n",
       "      <td>19.50</td>\n",
       "      <td>148.50</td>\n",
       "      <td>0.067541</td>\n",
       "      <td>0.187555</td>\n",
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       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>10.6</td>\n",
       "      <td>9.6</td>\n",
       "      <td>9.8</td>\n",
       "      <td>423.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>5342.2</td>\n",
       "      <td>5450.0</td>\n",
       "      <td>2018-05-18 17:30:00</td>\n",
       "      <td>2018-04-17 14:30:00</td>\n",
       "      <td>0.085274</td>\n",
       "      <td>10.10</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.071290</td>\n",
       "      <td>0.000000</td>\n",
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      "text/plain": [
       "    CallAsk  CallBid  CallLast  CallOI  CallVolume  PutAsk  PutBid  PutLast  \\\n",
       "15     87.7     83.7      80.5   358.0         3.0    53.9    52.0     56.5   \n",
       "16     58.3     55.0      53.6   325.0        38.0    76.6    72.8     75.2   \n",
       "17     35.9     33.2      35.1   719.0        52.0   104.8   100.3    108.4   \n",
       "18     20.6     18.4      19.5   382.0        11.0     0.0     0.0    148.5   \n",
       "19     10.6      9.6       9.8   423.0         7.0     0.0     0.0      0.0   \n",
       "\n",
       "    PutOI  PutVolume  Rf    Spot  Strike            Maturity  \\\n",
       "15  486.0      244.0   0  5342.2  5250.0 2018-05-18 17:30:00   \n",
       "16  176.0      106.0   0  5342.2  5300.0 2018-05-18 17:30:00   \n",
       "17   44.0        5.0   0  5342.2  5350.0 2018-05-18 17:30:00   \n",
       "18   64.0        1.0   0  5342.2  5400.0 2018-05-18 17:30:00   \n",
       "19   11.0        0.0   0  5342.2  5450.0 2018-05-18 17:30:00   \n",
       "\n",
       "                   Now  Expiration  CallMid  PutMid  CallImpVol  PutImpVol  \n",
       "15 2018-04-17 14:30:00    0.085274    85.70   52.95    0.000000   0.148765  \n",
       "16 2018-04-17 14:30:00    0.085274    56.65   74.70    0.050173   0.152137  \n",
       "17 2018-04-17 14:30:00    0.085274    34.55  102.55    0.061534   0.158330  \n",
       "18 2018-04-17 14:30:00    0.085274    19.50  148.50    0.067541   0.187555  \n",
       "19 2018-04-17 14:30:00    0.085274    10.10    0.00    0.071290   0.000000  "
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   "source": [
    "# python 3.7\n",
    "# contact@leonardofilipe.com\n",
    "# batch implied volatility calculation: https://github.com/jasonstrimpel\n",
    "\n",
    "%matplotlib notebook\n",
    "import scipy\n",
    "import numpy             as np\n",
    "import pandas            as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from matplotlib           import cm\n",
    "from scipy.stats          import norm\n",
    "from scipy.optimize       import brentq\n",
    "from mpl_toolkits.mplot3d import axes3d\n",
    "\n",
    "plt.style.use('seaborn')\n",
    "pd.options.mode.chained_assignment = None\n",
    "\n",
    "def N(z):\n",
    "    return norm.cdf(z)\n",
    "\n",
    "def black_scholes_call_value(S, K, r, t, vol):\n",
    "    d1 = (1.0/(vol * np.sqrt(t))) * (np.log(S/K) + (r + 0.5 * vol**2.0) * t)\n",
    "    d2 = d1 - (vol * np.sqrt(t))\n",
    "    return N(d1) * S - N(d2) * K * np.exp(-r * t)\n",
    "\n",
    "def black_scholes_put_value(S, K, r, t, vol):\n",
    "    d1 = (1.0/(vol * np.sqrt(t))) * (np.log(S/K) + (r + 0.5 * vol**2.0) * t)\n",
    "    d2 = d1 - (vol * np.sqrt(t))\n",
    "    return N(-d2) * K * np.exp(-r * t) - N(-d1) * S\n",
    "\n",
    "def call_implied_volatility_objective_function(S, K, r, t, vol, call_option_market_price):\n",
    "    return call_option_market_price - black_scholes_call_value(S, K, r, t, vol)\n",
    "\n",
    "def call_implied_volatility(S, K, r, t, call_option_market_price, a=-2.0, b=2.0, xtol=1e-6):\n",
    "    _S, _K, _r, _t, _call_option_market_price = S, K, r, t, call_option_market_price\n",
    "    def fcn(vol):\n",
    "        return call_implied_volatility_objective_function(_S, _K, _r, _t, vol, _call_option_market_price)\n",
    "    try:\n",
    "        result = brentq(fcn, a=a, b=b, xtol=xtol)\n",
    "        return 0 if result <= 1.0e-6 or call_option_market_price == 0 else result\n",
    "    except ValueError:\n",
    "        return 0\n",
    "\n",
    "def put_implied_volatility_objective_function(S, K, r, t, vol, put_option_market_price):\n",
    "    return put_option_market_price - black_scholes_put_value(S, K, r, t, vol)\n",
    "\n",
    "def put_implied_volatility(S, K, r, t, put_option_market_price, a=-2.0, b=2.0, xtol=1e-6):\n",
    "    _S, _K, _r, _t, _put_option_market_price = S, K, r, t, put_option_market_price\n",
    "    def fcn(vol):\n",
    "        return put_implied_volatility_objective_function(_S, _K, _r, _t, vol, _put_option_market_price)\n",
    "    try:\n",
    "        result = brentq(fcn, a=a, b=b, xtol=xtol)\n",
    "        return 0 if result <= 1.0e-6 or put_option_market_price == 0 else result\n",
    "    except ValueError:\n",
    "        return 0\n",
    "\n",
    "def call_implied_vol_mid(series):\n",
    "    S = series['Spot']\n",
    "    K = series['Strike']\n",
    "    r = series['Rf']\n",
    "    t = series['Expiration']\n",
    "    l = series['CallMid']\n",
    "    return float(globals().get('call_implied_volatility')(S, K, r, t, l))\n",
    "\n",
    "def put_implied_vol_mid(series):\n",
    "    S = series['Spot']\n",
    "    K = series['Strike']\n",
    "    r = series['Rf']\n",
    "    t = series['Expiration']\n",
    "    l = series['PutMid']\n",
    "    return float(globals().get('put_implied_volatility')(S, K, r, t, l))\n",
    "\n",
    "db = pd.read_hdf(\"optiondata.h5\")\n",
    "db = db.drop('index',axis=1)\n",
    "db['Now'] = pd.to_datetime(db['Now'])\n",
    "db['Maturity'] = pd.to_datetime(db['Maturity'])\n",
    "db[15:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
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   "source": [
    "# Let's forget the already calculated implied volatility\n",
    "db = db.drop('CallImpVol',axis=1)\n",
    "db = db.drop('PutImpVol',axis=1)\n",
    "# And now recalculate it, this is just a few minutes of market data\n",
    "# Imagine what is like working with several months of data\n",
    "db['CallImpVol'] = db.apply(call_implied_vol_mid, axis=1)\n",
    "db['PutImpVol'] = db.apply(put_implied_vol_mid, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Selecting closest maturity and cleaning data\n",
    "M0 = db[db['Maturity'] == '2018-05-18 17:30:00']\n",
    "M0[M0['CallImpVol'] < 0.001] = 0\n",
    "M0[M0['PutImpVol'] < 0.001] = 0\n",
    "M0 = M0.loc[(M0!=0).any(1)]\n",
    "M0 = M0.reset_index().drop('index',axis=1)\n",
    "M0['Moneyness'] = abs(M0['Strike']/M0['Spot'])"
   ]
  },
  {
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   "execution_count": 4,
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       "    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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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9bfQr1+/1GhhLm+7rRkTJkzMuajM6tVPo3fv3vjxx/MFvSerVXwQJudVJj116nzGpcBdRcPy5SswevQYfPXVD1lta7PirbfeSYy4nc94nmTEFfKzN23aDCxdugwWiwtDhw7rtPJovhHCdevWd/qsC/3+lCMILRZXYg/BVVi9+mmMHn1zl+//ww+3o6mpCUeP/pj1608+uQb19fWa/Dzkel9NTU1YseLerN/nXFuDUEq1k+gDg9AAiD5YKTWypQZhr1698gbh5s1bIUkSvv32aMbtixcvhSRJqRP2GTNmYeLEWzKCLDnSlAyk229fjFtuybyE7cyZC6irq8fMmbMzbv/Pf/6Hurp6NDdPw8MP/yHvZ5B8na+99manrx09egr9+/fH/PkLi3pPooMwfa6Z1RqfQ1dTU5N6fV1Fw+uvv4W6uvpOsbdhwyu488670d7uRGvrGUiShL/+9W8Z92lunlZwEL799r9RV1ePjz/eD0mScPjwyYyv55pD+O9/b07MIdzT6bMu9Pvz/PMvdSsIH3rokayXqb7wwssYOnQYRo0a3el1Z/vZqqmpwR/+8ETWr99++2JMmTJVk5+HXO9r+fK7MHHiLRkjsxaLC/fcc39Zt5WhlMYl+sAgNACiD1ZKjWypQThwYCPmz1+I/fu/gMXiyhqEra1nUFtbiwULFmH37v3Yvn03li27M7WAxvfft8JqVXHgwJeora3F0qXLsXPnXrz22ptoahqUEUjr17+AXr16YcOGV7Bv3+d4++1/Y+TIUaipqcHkybdlPG9bmw39+w+AJEkZc7C68uGH/wBJknDPPfdjy5Yd2L37ADZs+CsaGxsxfPgInDlzoaj3JDoIa2pqcO+9D2DXrn3YuHET6urq8eijj3f5b5LP9dtvFowZMxY33zwG7777X+zdexDr1q1Hr1698OSTa1L/5pFHHkNdXR02bHgFu3btw733PoD6+vqCg/DyZTMaGvri5pvHYPr0zls2JD/H66uMHsDGja+hoaEBc+bMS21bkf5ZF/r9+dvf3oQkSXj//Q9x4sRPnT6DfEG4atVTqKurx44dn6QWqrFa4/+Rora2ttNqqblMrgq6aNESvP/+hzhw4Et8+OF2LF26DDfccAP27/9Ck5+HXO/ru++OJVZtXYStW3di1659+P3v45/Xli0fCf/9RKnRJfrAIDQAog9WSo1sqUH4yit/Q//+A9CnTx+cOnU+5xzC//1vG8aPn4C6unrceONNWLbsTuzf/wVqamrwxhv/TN1v9+4DmDKlGXV19Rg3bjy2b9+dEUhXr9rx+ONPYsiQIaivr8eYMWOxfv0LeO65Dairq8OFC1cznnf58rtw881jivos/vOfDzF79tzE3nv1GDt2HNauXYfz568U/Z5EB+GqVWtx1133oL4+vnff88+/BJNJ7vLfpD/XuXOX8dBDj6T2IRwzZiw2btyUsXegySRj/foXcNNNQ1FfX4/f//7Ooi4ZtVrjI22SJOFf//pP1q+bTDJeeOFljBw5Cr1798aIESOxbt36LvchLOT7c/bsRUyZ0ozevXunRuiKCcIffmjF2LHj0Lt3b2zY8ErGa7711implW8L8YMPtmH+/IVoampC7969MWjQYCxfvqLTKGc5gtBqjS+stHDhYvTt2w8NDX0xdep0bNu2S7PfMZTS3BJ9YBAaANEHK6W0Z9nWZkVjY2OnyxmrxWzhQPUxufdg+mqplFKaS6IPDEIDIPpgpZT2DE+dOofnntuAGTNmYeDAxozFZ6pJBqH+fvvtEfzlLy9i4sRJuPnmMRmjsZRSmkuiDwxCAyD6YKWU9gx//PE8Bg5sxLBhw7F7937hr0eUDEL9PXjwW/Tr1w/jxo3n6pyU0oIl+sAgNACiD1ZKKaWUUkq1lugDg9AAiD5YKaUilGE2O9KUYTbLsFhcOfcLpJRSSnuSRB8YhAZA9MFKKdVPm02Fw6HCanWivd0Kk8mG9nZr6v83mZL/1w6TyQ6z2QGLxQm73cVgpJRS2qMk+sAgNACiD1ZKqT7a7fEYdDpVpAdhPl0uN2KxWJb729NGGJ2JUUaFwUgppbQiJPrAIDQAog9WSml5tdniEZiu1SoXHISKEg/Cru6Ta5SRl6VSSikVJdEHBqEBEH2wUkrLZ/qoYOlBGP+jWsh9iw3GbKOMDEZKKaVaSPSBQWgARB+slFLtTc4V7BiCSW22woNQlrsfhMVHIy9LpZRS2j2JPjAIDYDog5VSqq25RgVLD0IXAMBsLm8QljrKyMtSKaWUZpPoA4PQAIg+WCml2phvVLDUIHQ6k0FoFxqE2lyWymCklNJqkegDg9AAiD5YKaXd1+EoPAZLDUKLpbKDsJhotFjsCAZDsNtl8LJUSik1pkQfGIQGQPTBSikt3WJGBUsNQodDAQBYLA7hQaeVFosDAOBwKF2MMiblZamUUtoTJfrAIDQAog9WSmlpFjsqmG7HECokCK1WIwWhHQDgdBb+OXQORl6WSimllSzRBwahARB9sFJKi1NRvCVFYKlBaLfLid8VRgxCl6aPmwxGrpZKKaXiJfrAIDQAog9WSmnhyrIbAKCqpUehongQDocRi8UQDkcQCATh8/nhdnuhKPFYTI+/60HoFB5yWmk2lycIi4nG3MHIUUZKKdVCog8MQgMg+mCllOY3uZVEd4PQ5wsgFoshEonA5XLD7fbC5wsgGAwhEolk/G5I3i8UCgMAvF4/FMUNh0OBzeYUvg1FTw3C4oKRl6VSSmmpEn1gEBoA0QcrpbRr0+cJJoPQ7fYVFYIulwfhcASxWAw+XwAOR+4QslodcDgUKIoKt9sLvz8AAIhE4v8+nWg0ilAoDL8/AI/HB5fLDafTlQjGyl2VtJKDsNBgzBxljAejxeKELKuwWJwMRkpp1Uv0gUFoAEQfrJTS7ObaYB4oLggzRwU9iTmErrTRp661Wp0AkNiiIb5Cp90uQ5ZVqKoHXq8PgUAwdRlqOtFoDOFwGIFAEF6vD6rqgSy7YLfLQlct7clB2JXpK8LyslRKabVL9IFBaABEH6yU0s52tXooAHg8+YOw46hg5qIyxQRhfIuGZBAWEls2mwyn0wWXyw2Pxwe/P4BQKIxoNJrx+yd9HqPXm3seo/ZBaAMAyLIxgzDfZ8fLUiml1SDRBwahARB9sFJKr5trVLBzEPoLGhUMh6+PCnYOwsIiIxmExaxMmj8YnXA6FShKYfMYg8FQ2sI37kQwdm8eIwDIsio84kQEYT67uiy142qpDEZKaaVK9IFBaABEH6yU0uI2mI/FYvB6swdhV6OCpQZhrk3cy2nHeYw+nx/BYCj13tIpdR4jwCDUIhozb+dlqZTSypHoA4PQAIg+WCmtdgsZFSwkCPONCna00BP/SpxvV9w8xngwdpzHCACK4hb+XnpqEOaTl6VSSkVL9IFBaABEH6yUVqvFjAqmG41G4fVeH/1zuTypFUC7GhU0UhDm02JJn8foKWoeo6p6dJnHWA4rKQjzmWuEkZelUkq1kugDg9AAiD5YKa1Gix0V7BiEyfBLHxVUlPyjgukWOv8u9wIsFtjatkL5cSPMbb8KD4xiTEaux+PNsh9j52Dsah6j6PeSbk8KwkJMj0afzw+Xy42uLksVfVxTSitLog8MQgMg+mCltJosdVQw3UgkCr8/WNKoYClBaDJ1nG9nhdXyX7gu34Xw0b7wH52F0I4xcJ76UHhAFCMAKErukdJc8xhz78cYEr4fY/q2E6I/X60NhcLweHwZt+W6LJXzGCmlViuDUC8YhAZA9MFKabXYnVHBjiOEpY4KdicIFcUFq/U9KI5b4Tk3E9EjEqJHJISO3YhoywBEWwbA/+kyWC+dFB4PhRiLxbo1h7DzPEZ/3nmMfn+2/Ri1C0YjB2E4HIbb7S3q3/CyVEqrW6IPDEIDIPpgpdTo2mzdj8DrcwXjMRgKhbv9eIUHoRWB4Da4lFvhsjUhcGpSKgaTBj8Zn4rCyLYhcB3aCNO1duER0ZXdDcJ8Wix22O2lz2OU5eLnMRo7CCNFB2EhFr5aqsJgpLSHSfSBQWgARB+slBpZrUYF/f5gKhqS4dD9IMw3MmWFzfoOFOdkqIoEj2kSQscGdYrB6BEJ/u/mpYIwaXD3FNh/+lR4SOQyFosl5qSJef7r+zG64HK54fF0fx6jkYMwEilPEOaTl6VS2nMl+sAgNACiD1ZKjagWcwWdThWq6k2NCia3mohvoRAqaxDabNdD0K3UIHhlPiJHemeNwegRCYFjUzsFYVLPl3+A+covwoOio6KDsBCtVmfB8xgjkSjC4TAAwOsVN4+xXEYiEaiqR/jr6CgvS6W0ciX6wCA0AKIPVkqNpN3uhqr6NB8VVBR36vZQKIxgsDxBaLW9AzktBFVHA3xnpuUMwaTho/0QaRmYMwrDH42EfPzfMHU6cRZnNFr5QZjPjvMY/f4gACAczrXwTXweo8dTvnmM5TISiVZkEBZivstSbTYZFovCy1Ip1ViiDwxCAyD6YKXUKNpsKtxuHwBoPiqYbjmC0Gp7F7J8PQTdSg1U80gEj4/KG4OpeYSfTckZhKlFZ/YthPXCYeEn6CaTDdFotMcHYUedzsxLRpPzGGU5fR5jsKh5jHa7jErYxiIa7blBmM9QKH3BHF6WSqlWEn1gEBoA0QcrpUbQ4Yjb3SBMjvCEQuGMUcF0g8GQRovK2GG1/huyfEtGCLqVGrh/m4rw0b4Fx2D0iAT/oc7zCLMZ2doE9fu/wHS1TXhguFzGCozrQVjYiF+2eYx+fzHzGFXd9mM04vcrab4Fc3hZKqWlSfSBQWgARB+slPZkO84VTAahLGePuVJHBTUPQvmDrCGoOmvhPTerqBBMzSNsvaWgIEwa2jUJjjMfCzsJN+KIk9PpAlB4EBZisfMYg8HkfoxeTecxGuES31xqsWAOV0ultLNEHxiEBkD0wUppTzU5Ktgx7IDigjAQyD8qmHn/bgShvAUuV5YRQaUGqm1Q1i0lCjVypDfC228sKgqjLQPg/fx+WC7/pPtJOINQG63WXPsx5p/H6HIVPo+xJywCVKp6/CxytVRajRJ9YBAaANEHK6U9za5WEE0GYSFhV8yoYMeADIcjRYbgdrhck+DqEIEpr01E6NjgkmMwNUr45YyigzDaMgDh7cOgHHsTpnazbifhPXmRklyKCMJ8ps9jVNVC5jGGs85jLPe+kSKthPmsuYKRl6XSnizRBwahARB9sFLak8y3eqjL5QEAKIpH01HBdP3+IoJQ3pUKwWyjgm6lBu6Ls7rcUqKoeYRH5pQUhEkDn8yC7fw3upwAGzkIe9I2E53nMfrg9wcQClXePMZy2VNGP3lZKu1pEn1gEBoA0QcrpT3BQjeYTwahy5U9CFXVi2g0Piro8RQ+KtgxCCORPEEo74HLNbHLECx0S4liDB4b3a0gjLYMQKSlEe5v1sLcdrmsJ7eVuq9dd+yJQZhPszk+jxEAvF5/wfMYfT7t5zGWSwBQFFX46+iu2UYZrVYn3G4vLBYnL0ulukv0gUFoAEQfrJRWusXsKagobgCAqnozbpfl7o0KpuvzBRCJRHOE4D641AlwuboYEVRq4LaMQvDEaE1jMGlo16huR2G0ZQBCO8bCeaqlbCevWizkUWkaMQiTAoAsZ48mq9UBh0Mpch5jIDWP0ekUux9jV++tp+twXN8KhZelUr0l+sAgNACiD1ZKK9VCRwUzw69zEGoxKtgxCKPRjkH4WWEhqNTA0zYNkSK3lCjqstFvunfZaEd9ny6H5ddTmp+oMgh7jmazHQAgy66S/r3F4siYx+j1ljaPMbm/Yznem9NZ2nurdIv9mcx/WaqTl6XSgiX6wCA0AKIPVkor0WJDsGMQut3exKhgCEB8VLDYrShy6fWmB+EXBYeg6qyF//ycsoVgKgiPzdQ0CKMtAxDZdiNch1+B6Vq7Zieq+fZ+64kaPQjLFU1dzWPMFoy55zEWH4wWi7GDUJbjJ+VaPR5XS6XFSPSBQWgARB+slFaSpYwKdhRAahQvGo3B49JNRjkAACAASURBVPFpEoLXg9CPUPgoFHUCXGrXIeiS6+FSmuFuXwLfmUWIHOlX9iAMHRuseRAmDe6eCvvPBzU5sWQQ9hxFj6Il5zHG92N0FzWP0e1OzmNUss5jtFgcAACHQxH+OZdDRXEjFovp9ny8LJWmS/SBQWgARB+slFaCXW0lUdwI4fU/QMGgdqOC1/0eLvckuNReOUPQJQ+BS5kFRW2GapuAwE+3IdL6OwRPTkDg2zvKHoTRIxKCeyeWLQqjLQPg+epxmK9c6NaJI4Ow53h9FK1yoyk5j1FRipvH6PX6AQCq6oHNJm4eY7l0udyIRqPCX0e6vCy1eiT6wCA0AKIPVkpFq8WooNOpwu32peYKBgJBjUPwCBT1lqwh6JJr4FImQHHNgaKOhcsjwSUPhu+XmQi31iDS+rtEEN6M4IHFCB+5qfyXjX4/r6xBGG0ZgPBHoyCf+A9MnU7sCjMcDsPjMVYQyrJRg7Dnj6Jlm8eYDMaOZM5j9JV9HmM5VVUPIpHKCsJ88rJU40j0gUFoAEQfrJSKUrtRQTeCwfhcwWAwVPRG8117DIp6K1zuzEtDVaUfXMo0KK6ZUNxN8Qj0SFBcDfBemoPw8fpUCCYNnRyG8ME7EP16cdmDMHCsuexBmNS/fxGsF48WfdIXD0Kf8JNPLTVqEFqtPT8Ic2mzxbfUsNvlHPMYcy18o908xnLqdnsRDkeEvw4tTQ9Gi8WGQCAIm01GZjQyGCtBog8MQgMg+mClVIRajwpGozG43fG5gtFoDF5voJuPfQKKOiUegi4pMRI4AoprDlzuW+Hy9E5FoMsjQVF7wXNlFkInmjqFYMqTQxDdPRmRlkaEDo8raxBGjvVDZGujblEY2ToI6g/Pw3T1asEndaEQg7CnmAxCu10W/lq01m6XE3+LnV3ez2yOx2PmPMZAwfMY41vdZJ/HWE49Hh9CobDwz7lcJvfITP/ZTAYjL0sVL9EHBqEBEH2wUqqn5RoVTJ8rGI1G4fOVGoQ/QlGnwuWugUvpBZcyOX4pqHtkRgCm6zY1I/jjqNwhmDB8on/8UsudYxE8UP7VRsNfTNctCJOGdt0Cx9k9BZ3IGTsIxb+Wcp90G8XkPn1ajOylz2N0u71F7sfohtPpgs0maxqMXm988R3Rn3O5tNniQW+zdR30He06GJ3C/1YaRaIPDEIDIPpgpVQvFcULAN3aFD5zVDCaGhVMNxIpJQjPQlFnwOWuhcs1FoprGhR3v5wR6PJIUK3jETh7S94QTAVh6w2ItgxAcP8iRFsGIPBDc3nnER6eq3sQJvV+/gAsl3/u8oTMmEEYPwEyWhCmX1Yp+rVobfrG7eV+ruvzGNUO8xjDiEY7BqM28xh9vniUiv6cy/390/JSXQahdhJ9YBAaANEHK6Xl1maLR5fL5QEAuFwezUcFM4MwAr+/0EVlzkFxLYTiboDivgmKu1eXEejySFCdQxG+OAvhVqngGEzZMhDBA4vjo2l7piByuFfZgjDYWt6VRvMZ3j4MyrF/wNRuyXrSFQqF4fUaMwhFvw6tTQZhsaMwPcFKWhk2936MuecxBgLBLucx+v0B+P3GDcJyfP8YhNpJ9IFBaABEH6yUltP0uYKKUnoQxkcFYzlHBdNNniR1/ZjtkNUlUNy1eQMwNU9Q6Q/fxdkIH7+h+BBM+tGNCO+acH1Blm/Ld+lo5Egtwh/dJDQKoy0DENo/D+qVI51OVEOhEIOwh1jqZXk9wZ407/N6MGafx5hOLBZDJBJBNBpNbfGiKG44HMl5jOLfjzbfP+2POQahdhJ9YBAaANEHK6XlMNtcQUVxAwBU1av5qGC6oVAYgUAox9ddkF1PQXHXFR6Cam94fpuN0IkBpYdg8rLRXSPio2c7x8djaedYRA7XlS0KA1/OFB6E0ZYBiG5tQvT4C4iFPDlOVCtzhcZKODmtBJMLrxgzCI31Pes4jzESiSISiRQ5j1HfhW+6o8vlRiwW0/QxLRZZ+N9Qo0j0gUFoAEQfrJRqba4VRGW5uCD0eAofFewYhMFgliBU/g3FMwiKu6bgGHRfm47QqWHdDsFUEO4Zg2jLAAQPLLo+Svj1gvLNIzwyR3wMpl9GunMcPOd2pZ2oRjut0JgMxp6wpH9HjRYXSQtdibMnqijG/J4l7XhpdlfzGDsHY+Xvx6iqHkSj2u6zyCDUTqIPDEIDIPpgpVQrC1lBFEDeuIuPCoYBAIFACLJc3OWlwWCHIJS/gewdA8XT9SIxGfMELbcgeGa8ZiGY2otw38ROQRjePgzhw43lmUd4bJTwCMym77O7EJQvw+v1p07COo5s+Hz+Lpb0j3Ra0j8ejGKDxahBWI6FOyrFcowwVZLhcAQej7fg+8cvS5WLnsfo9Yr5jzfl2GfRYlGE/z01ikQfGIQGQPTBSqkWOhyFbScBAB5P7iDMHBUs/NLSzCAMIRQKw+m8CNkzA4p3cOGjgo4R8P/crHkIpoLw01vjEbhrfEYg+T9fWLZRwtDHNwsPwGxGtt2I4I9vwnTNVNBJWrZgzLWkf7Y94JLBWM65U0YPwkoZFdJSl0v7EaZKMhKJX5at1eOlz2N0uTrOY+wcjF39xxstjsVy7LPIINROog8MQgMg+mCltDsWu69gLBaDx+PPOioYCpU+Kpiuz++FO7ASsm8QFPeQwuYJyo3wXZiNcGuvssVgpPV3CH4+NRVEoZ3XozCydRCCh0aU57LRbyvrstGOBvdMg/3c5xqcxHW8FC7fHnChxNwpb2LuVPc3DTfq5YdGDkJV9SASMW4QRqNRqKpH1+fMNdpfjnmMycfW8vUzCLWT6AOD0ACIPlgpLdVCRwU7BqHXmxmEHo8fsVgsceJS2qhgSterUAJNcPkmFRaCrjp4L89G+HhDWUMwFYRfTk+FUGD/ooww8n86rzxBeGyG8OjLO1rYMhCer56A+cqlsp2kFh+MxZ+kGjUInc5kEPaMhUaKMT6fVdtLDivJWCwGl8st/HWkm/tYzD6PMb5QWPo8RldqHmM5ttWwWFya/Z08d+4yli5dhv79+6OxsRFPPrkG7e3ZVzHdsWMPJkyYiD59+mDs2HHYvn136mttbVY8+ujjGDx4CPr3H4C5c+fju++Opb6+eXMLamtr0dDQkPK++x4Qfp5A9IFBaABEH6yUFmuuRWMKMRq9vmm8lqOCTmUPZN9IyL7RUDz5RwUVtQbutpkInRyiSwimgvCb2WlBeHvn0bJDEzUPwvCxQcKDr1DDH42GfPK/FXKS2tViG9mDUVXjW6uIPuHW2kraq09ryzEHrZIEAEVRhb+OYrRY0ucxevLOY4xGY6l5jKrq6fY8Ri2DcPbsubj33gdw5YoVx4+fxfjxE7Bx46ZO9zt27DTq6urR0rIT7e1ObN68FfX19Thz5gKsVhVr1z6DOXPm4cKFNly75sCqVWsxcuSo1L9fvfppPPjgw8LPDzpK9IFBaABEH6yUFmOpIZg0EokHoXajgqche2dC9jdA8TQXtnKo+TYET9+sawgmDXx3/fLN8M6xnYIosHd6eRaX2XeL8NgrRv/+JbBebBV+YtrxJDUejK6Sg7EnLeefrpGDsBxz0CpFs9kOAJBll/DXovX7is9jdCESiSAUChc4j9Ff0DxGrYKwtfUMJEnC2bMXU7dt3tyCYcOGd7rvM8/8BfPnL8y4beHCxVi//gVYrSqWLFmKWbPm4JdfruDqVTvWrFmHCRMmpu47a9YcvP76P4SfI3SU6AOD0ACIPlgpLcTujApmBmEk9Qc7/+bxXWmB03M/5MANkL1TobgH5F851DYGgZ9uExKCqSD8fl7miODOiZ2j8LsZ2l82+sM8XUJOSyNbB0P94QWYrl0TfgJaiBaLHW53fITw+qhGMDGqkSsYg4lg9CSCUa7I6Lq+ebv416K1Xq9xg9BiiQeh02msIEw3HA5nXUW1mFWL33nnHTQ3N2PFihV46qmnsWnTG2hp2YlvvjmMCxfaSg7ErVt3YuDAxozbvv++FZIk4eLFaxm3L126HKtWPZVx26pVT2Hp0mWwWlXs2/c5GhsbIUkSamtrMXjwEBw+fBJWqwqzWUFDQ1/cfvtiDBs2HDfdNBQPP/wYLly4KvzcgegDg9AAiD5YKc2nFiHodKrweuOjgrFYrBujgi441Zcg+5sg+wdBcd+af1RQHgL/+ZkIt9YIjcFI6+8QODQ/cyRs36JOIRT6eBIih2s1DcLAsSnCA69Ugx9PhuPsXuEnnoXY1RzC9FGNfJfBZd//LTlvSv9gNOrqqSaTDV6v9ouSVIpWqwMA4HAowl9LuYxEIiUtmpN+ifiXX36Fxx57HIsWLcK4ceNQV1cPSZJSNjT0xYQJE7Fz596i/na+994HGDp0WMZtx4+fhSRJOH36l4zb585dgD//+fmM25599jnMnbsAVquKPXs+xSOPPIYzZy7g8mUTHn30cYwePQZtbTb8/POvmDlzNt5++z1cuWLFqVPnMXv2XCxatET4+QPRBwahARB9sFKaS61GBRXl+lzBSCSKQCDLpvEFzRPcAdk3AXLg/0L2zoTi7pNnwZi+8F6ag/DxeuEhmArCIx2DcEH2Sya/ma/tPMKjfRDZ2iQ87rqj94uVsPx2TvgJaFd2Z1GZzGAsZP83/YLRqIvlmEy21PYlol9HObTZnAAAu10W/lrKZTQa1XTRHLPZDovFhZ9//hVffPEdPvhgGzZu3IQnnliNr746VNTf0C1bdqCxMfsI4aVL7Rm333HH77F69dMZt8VHCJejvd2JAQMG4uDBb1Nfa293ok+fPti27eOsz/3ll9+jpqYGly+bhJ5HEH1gEBoA0Sf9lHa02K0kChkVjETicwVDoQ6bxheifByyd0k8BP3DobgndD0i6K5FoH0eQicahQdgpyA8mhmAoR3Z9wgM7xiF8OEGbUcJD04ta7DpYXj7cCitb8PUbhF+IprNcoZT8cEYyVhoQ5bV1MqMlfS+ROv3BwwbhHa7DACw2ZzCX0u5BLRdNMdsdmj2t/TYsdOQJAk///xr6rbNm1s6jRparSrWrVuPhQsXZ9y2cOFiPPvsc7hw4SokScK+fZ+nvpa8THTXrn347rtjeOqpZzMubT1w4CvU1tbi6lW70PMJog8MQgMg+uSf0nTLMSro91+fK3h90/hCHucanO61kAO9IQekxKhg764XjGlvRujHkcLDL2cQtnaeyxfcNSn7KOFX2m5W7z88V3jQaWVg7zzYfvle+MloRxXFjVgsJuS5OwejNxGMoW4Ho8j3VW79/iD8/oDw11EOk/tHlrraZqVbjkVztAxCq1XFjBmzsGLFvbh82YQTJ37C+PETUgvFpHvkyCnU1dVj8+atqVVG6+rqcfToj6nHaW6ehnPnLqOtzYY1a9ZhxIiR+O03C06f/gUNDQ14+eVX0d7uxKlT5zF16nSsXPmo8HMKog8MQgMg+mCl1GpVIcseKIqnLKOC6V8LBAoJQhec6ruQ/U1Qgv8PZN8YKO5RXS8YYx2PwJlJwoMvbxAe7xyE/n2dt5+ItgxAZNuNCB0aot1Ko60ThIeclkZaGuH+9hmYr14RfmKatJLDyWy2JYJRgaK4Ewtt5F6ZMT0Y/f4AYrFYt5byr1QDgSB8PmMG4fX9I431PUtqsWg/R1LrIPz551+xfPkKNDY2oqlpEFavfhomkwyrVUVDQwP+85//pe67a9c+TJo0GQ0NfTF+/ATs2LEn43Huu+9BDB48BAMHNmLRoiWpWLRa44vOTJs2A3379kNT0yA88cQqtLXZhJ9bEH1gEBoA0QcrpXa7WtqlnFlGBcPhCIDMUcHMIIxvBJ778tDTkH2z4iEY6A3ZMxOKuyZ3DDqHwX9uOsKtkvDYKygIT8zuFDa55hFGWwbAf3CBZkEYOVKL8EdDhYec1oZ2jofj9EfCT05NpsoOwkK0Wp2JlRkzgzHbCGPnpfy7t/ebKJPvQfTrKIdG3i7EZIr/vALQdI6k2Zx903hamkQfGIQGQPTBSqvX9LmCwWD3grCrUcF0/f5cQeiEU30dcqA+MSo4CYp7aO4FY5QB8F2cjXBrb+GRV1wQzuoUNOGPRnc5ChY8dLN28wi/6vz8RtH32d2w/Hpa6AlqTw/CXLpcHkSjUXS1lH86PSkYg8EQvF5jBqGR536aTOWZI8kg1FaiDwxCAyD6YKXVace5gsXN7UsfFfQgHI7v65RrVDAzCAOIRKIdRgWPQPYuSIwK9oHsmd7FyqE3wPPbHIRP9BcedyUF4ckZWWMmuGtyztAJ7J+t3TzCo51HKI1keNtNcB35G0ztZiEnqC6XMYNQVeNBmO9+he79VknBGAqF4fH4hH/G5dCo/4EiaTnmSDIItZXoA4PQAIg+WGl1mWsF0byXcmYdFQykRgXjG2vn/zc+XwDRaDIIbXCqr0D2D4jHoHcKFHdT9hBUJbivTkfo1E3Co647Bk82Zw2ZbPsRZgTjoSmaBGHo2Ajh0aaHwT3TYTv3pe4nqEYOwkgkfxDms5jNwiORaCIYA4lgdCeCUdsVM+MbmxszCJMju6JfR7ksxyWxFoss/O+0kST6wCA0AKIPVlo9drWCqN8fRCRSWBAWOyrY8dLSaDQGp/IVZO+ieAj6B0LxNOdeMMZyC4KnxwuPOW2C8NasARPYOz9P4DQjerhGmyjcPUZ4sOlhpGUgPF//Cea2SzqegBszCN1uLyKRSNmfJxmMsqxCVT3wev2p/1hVaDDabE6YzYU/ZzgcgdvtFf4Zl8N4yJf/+ybKclwSyyDUVqIPDEIDIPpgpcbXZits5K7TpZw57pe83KvQUcF0PV47fKGXIfuHJEYFp0Nx98seg46R8P/cLDzitA3C7Ct9hj8ahUi+yDmizWb1/m+Ns/1EIYZ33Az55GZdTlCNHIThsPiwsFgcsNvlgoIxGo0iFArB7w/A4/HC5XLD6XQlgvH6iFIkEoGqeoS/NyN/38plOY43BqG2En1gEBoA0QcrNbaF7iuYeSlnvlHBQNEh6HSqcCp7ofiXQAn+v5D9N0JxT84egvIg+H6ZhXBrL+EBp30QdjE698mUruNm90REjtR1PwiPTRceaSL0H1gK66XjPe4EtRLsKWFRfDCGEYvFEAyGcgZjT9bj8SEUCgt/HeVSq0uZM3+GFOF/t40k0QcGoQEQfbBSY5prrmBXl3LGYrGyjAo6nVfgdK+G7BsJJfD/wR2cC8Vdn2XBmHp4f52D8PE+wsOtXIZODs8ZLIEDi/OHzaEl3Q7C8NHG/KORBjWydTDUQy/BdO1aWU5QjRqEHo8X4XDPD4vrwehKBKMvNQ86VzDGRxh9PTIYvd74HE3Rr6NcluM/VDAItZXoA4PQAIg+WKnxdDiKi0GnU4XH4weAjNtcruujgj5fiaOCri1wem+HHPgdZP8IKJ7xWRaMqYG7bSZCJwcLD7aye+rG3CNYeztvWt8paD4agcjhAd3ffmJ/7lVNq8Hgx7fB/tN+zU9QXS43olEjBqFxR5pisRgUxZ2IAXunYIyPMIYRjeYLRk/FBaPPF0AgEBT+Osql16v9zyWDUFuJPjAIDYDog5Uax2JHBdN1u30Argdht0cF5QuQPQ9B9o2DHJAge2ZBcdd2ikG3aQqCP94sPtR0Mnyif85ICW8fUdDInf+L27s/SnjsduFRVgl6v3gE5t/Oa3YyySDseQKAoqgF3ddstsNmk+F0uuByeeDx+OD3BxEKZQvGWCIYgx2CUYbFok8w+v0B+P0B4Z9xuUyuUqvlY1osLuF/y40k0QcGoQEQfbBSY1jKqGC2IFRVbzdHBV1wqv+C7J0HOdAbsm8cFPfIziuH2scicPZW4YGmexAev6HLQAl8fFveiIlsHYTQoWHdC8IT2be/qEbD20dAbn0HpnZrt08m40FovGX+4yMxxrz0EABkubAgzGc8GJ2JYHQngjGQCMZoxt/+WCyGcDiMQCAIr9cHVfVAll2w27ULxkAgCJ/PuEEYD15tR0AZhNpK9IFBaABEH6y0Z9udUcF0VdULIHmSUuqo4BnI3qWQfZMhB26A7JkJxV2TGYLOGxG6NBvh1hrhcSbMLuLEv7+AeYQtA+D/rHsrjkaO9kFk6yDhMVZJBvbNh/XCoW6dTBp13zejzkUzm+0AAKfTpdvzaROMhW3EHgyG4PX6hX/O5TIevNq+PwahthJ9YBAaANEHK+25dndUMH2uYCQSPxkpdl/BuDKc6quQfTMgB/pC9t0CxX1T5jxBpS+8l+YgfLxOfJCJdvuQ3FFSwDzCaEt8j73gDxO6N4/w82nCI6zSjGxtgvu7P8N0ta2kk0mjBmE5Ls2rBC0WfYMwn8UHYyQRjP5EMKoZwRgKheHx+IS/r3IZCoXg9Wr3/sxmu/C/60aT6AOD0ACIPlhpz7PQrSQKMX2uIIDiRwblY5B9MyF7p8Zj0D29w4IxveC5MguhE43iQ6xCDO/KvdJoePtwRFoGFjaitXdG97afOFxd+xEWY2jXRDhO7yz6hNLIQWjExUksFgcAwOFQhL+WQrwejEoiGL2JYAxlDcZkNOYKxp5uOByBx+PV9PMV/ffdaBJ9YBAaANEHK+1ZahWC8VHB63MFFcUNID6HsLDHcEB2r49fHuofBNnbDMXdlLlgTPtUBE+NEB5glWZ4Txd7EbYMQODjPPsRpt/3++klB2Gwdbzw8Kp0fQfvheXy2YJPKI0bhMZcrdJqjQeh3S4Lfy1aaDbbYLU64XAoUBR3aiXUYDCUugokSccRRrfbC0VR4XAosFp7RjBGIlGoqkfDz49BqLVEHxiEBkD0wUp7hlqOCvr9wdTJgKLERwRlOR6EbncBQah8A9k3MX6JqL8RimdK5jxB6wQEzkwUHl6VamjfxC4jpNB5hNGWAQjunozI4drS5hEe6YXwjmHCo6vSDW+7CcrRN2BqN+c9oVRVYwah32/MILTZnACME4QdjUajcLkygyk9GN1uL3y+QCIYIxnnJskrR4LBEHy+ygzGaDQGl8ut2eOZzQ7hf+uNJtEHBqEBEH2w0srWbndrEoEdRwW93s4riAKA2+3r4jEUON0vQvaPgewfDtk7A4q77/UYdAyH/9w04cFV6YY+7XoPwMDe4i7l9H87r/TLRr+aLTy4eoqBT2bCdv7rLk8ojRyEWq/mWAnabDIAwGZzCn8t5TB9j8VCtVodiWBUE8HoTwVjLHZ9a41KCEag8C1DCpFBqL1EHxiEBkD0wUorV7tdRTSaPd60GBXMFoQejz/HXMELkH1z4/MF/cOguCelLRgzAL4LsxFu7S08tnqCwYNTux6R2j6s4HmE0ZYBCO24GeHDDaUF4VEGYTFGWhrh/mY1zG2/Zj2hNG4QBg25n53dLif+DhszCAFtg8lk0ioYu/95l2OFWLPZKfzvvtEk+sAgNACiD1ZaeaZvJRGJREvcDzA5KuhFJBJNjArmiL2EOe/j2p24RHRcYiuJungIum6A5/JshE/0Ex5ZPcngl9Pzhkdwd9fR2FH/VwtLCsLQMV4yWoqhHWPgPPVhpxNKowZhIGDMIHQ4lMTf4cq4BFJL9d5SI2mhwQgAkUg0EYyBRDC6Cw7GciwIxCDUXqIPDEIDIPpgpZVlx7mCkUikxK0gChsVTDca7RifDsieNfG5gr5xUNxjEyuHSnBfnYHQyZuEx1VPNPj1rPyBV8Q8wmhLfJ5b6PCg0qJwzzjhgdVTDR68E8rVs7DZnDCb7YYOQiNucJ4MQqOsupluMpiczspaQdViccBulyHLKlTVA683voJtOJw/GF0uN5xOBTabsyzzP7UMwnPnLmPp0mXo378/Ghsb8eSTa9Denv3xd+zYgwkTJqJPnz4YO3Yctm/fnfpaW5sVjz76OAYPHoL+/Qdg7tz5+O67YyU9jwiJPjAIDYDog5VWhrk2mE+uAldMCKpq4aOC6WaMRspnIHvnQfbdCtkzC4q7V3zlUPNkBE+PEx5VPdnAt3Pyhkbgk/z36RSRny8o7bLR77j9RLfcdiNiZ99ELBpCNBpf6t/vD8DjiZ/AJkc8zGbxJ+OlmrzsT/Tr0Fqn0wUAMJvtwl+L1iZXUO0pW2okLSYYASAUCmccb06nK/UfaIp/blmzv+mzZ8/Fvfc+gCtXrDh+/CzGj5+AjRs3dbrfsWOnUVdXj5aWnWhvd2Lz5q2or6/HmTMXYLWqWLv2GcyZMw8XLrTh2jUHVq1ai5EjRxX9PKIk+sAgNACiD1Yq3q5WEE0uGV7MqCAQ/yOpKMUtSJMajXRthuydA9l7GxT38MSCMaPg/6lZeEwZwcD3+QMsvO0mRFoaiwqTyNYmBA+NLj4Ij00XH1UGMLSnGcGr3yEajRU84lHMJXIiDQZD8HqNF4SybNwgNOoKqslgdLu9AJDaIzMcDnc63pLbbsSD0Zc3GLUKwtbWM5AkCWfPXkzdtnlzC4YNG97pvs888xfMn78w47aFCxdj/foXYLWqWLJkKWbNmoNffrmCq1ftWLNmHSZMmFj084iS6AOD0ACIPlipOHONCqYbDIYQCoXLNiqYGZ8q3IEnIHunJ+YKSnDJg+D7ZRbCrb2Eh5RRDByaX1BgBPdMKzpKAgfmFB2E4aMDi1rEhnat/7s3YLp4qdMJbGGXyFXmMv/GDcL4Cavo11EOkwvmGHUF1VyjuxaLPXG8uRLHmy9nMF65cgVz587F8uXLsWbNGmza9Dq2bPkIX399GBcutMFicZX0t33r1p0YOLAx47bvv2+FJEm4ePFaxu1Lly7HqlVPZdy2atVTWLp0GaxWFfv2fY7GxkZIkoTa2loMHjwEhw+fLPp5REn0gUFoAEQfrFSMhe4rGAiEEA53HYTdGRVMqRyBO7gMrsBsKO4hUFx94P11DsLH+wgPKKMZOFJYEBY7jzAVhT9MLjoKA/tvFR5SPd3Q9lFwtzwO5a1VMD+xBKa9H8HUbs17YmuxVP4y/6FQCF6vT3gEaK2iGDcIjbxgTne+d+nBeO2aCWvXrsUdd9yBCRMmf5aZPwAAIABJREFUoE+fPpAkKWVDQ19MmDARzzzzl6L+vr/33gcYOnRYxm3Hj5+FJEk4ffqXjNvnzl2AP//5+Yzbnn32OcyduwBWq4o9ez7FI488hjNnLuDyZRMeffRxjB49Bm1ttqKeR5REHxiEBkD0wUr11WYrfmGYcDhStlFBp1OFU/0nZO98uHwz4HL3gqdtJkInBwkPJ6MaOFpYEAY+KW1LiOAnUxE5XFPcZaM/zBMeVD1Z3+5FkN95FPKaqXD+9Q+wrJwNy8rZML/4R5hOnejWiW9XqzamkwzGQCAIr9cPVfVAllXY7XK3F00JhcLweIwXhC6XG7FYTPjrKIfJETSLxXiXw5bre2c2yzh37jd8+eX3+OCDbdi48TU8/viTeOWVvxX1d37Llh1obMw+cnfpUnvG7Xfc8XusXv10xm3xEcLlaG93YsCAgTh48NvU19rbnejTpw+2bfu4qOcRJdEHBqEBEH2wUv0sdFQwXZ8vgEgkmmXkUINRQWcbnJ7HIHvmQ3EPhNcyFeEzNwsPJqMbaC0sCOPzCJtKChT/dzOLGyFsnSw8qnqiwe1j4G5ZAedbKyGvboa8eiqsf1qSCkLLytkwPzIX5g/egunKtbKcGHcOxkAiGKMZf2uSKw6XEozGDUJjrgprMhl7fqTJFN/iJRLR9ntnsSia/K0/duw0JEnCzz//mrpt8+aWTqN5VquKdevWY+HCxRm3LVy4GM8++xwuXLgKSZKwb9/nqa+ZzQoaGvpi1659RT2PKIk+MAgNgOiDlZbfYkcFOwZhNHo9CFXVi2g0PiqYcxP5gi4R/RJOz3Io7tug2sYicHay8FCqFgOthY/GBXZPLylUQrsmIHL4hoKDMHKkDpFtg4UHVk/St2sp1L/PhvPNhxMx2Ax5w/KMGMwIw7UrYPrmoO4nzlarMxGM7lQwhkIhRKPZgjGcCEZfIhhdsNtlhMNheDxe4RHQE6KiUjTy5bAmkw1utxfhcETTxyx1zmA2Z8yYhRUr7sXlyyacOPETxo+fkFooJt0jR06hrq4emzdvTa0yWldXj6NHf0w9TnPzNJw7dxltbTasWbMOI0aMxG+/WYp6HlESfWAQGgDRBystr6WMCqbr9foRi8Ugy1qNCipwqn+D7LkdLsdo+M/PQLhVEh5J1WTgROFbSpQ6jzDaMgD+b+YXN0r4eWnxWW0Gt4+F2nIfPC9NgOONlddjcHUz5NcfyxmEqTB8/c8wnT8v/ITaZLLBbI6vRul0KnC53PB4fPD7AwiFwl0GY3zFRg/iKzbKPXYUyu32IhLRNioqRSNfDmsy2eD1+hAKhTV9TC2D8Oeff8Xy5SvQ2NiIpqZBWL36aZhM8VVMGxoa8J///C9131279mHSpMloaOiL8eMnYMeOPRmPc999D2Lw4CEYOLARixYtScVivuepBIk+MAgNgOiDlZbHQlYQLUSPxwcA2owKyhfgdD8ORZkC78XZCB+/QXgcVaOBE/k3pk8a+KTw+3Y0/NFIhA/3L3we4RHuR5hP765lcL81H56XJ8Hx2oOZMbi6GY5Nf8wbhJaVs2F+7HaYdv0PpmsW4SfWXWk222GzOVNzE7sKxutL/AcLWuK/EizHKFOlqKrGvRzWZLKl5tJq+ZhaBiGNS/SBQWgARB+sVHsdDm1iUJbj+xAC8VFBWS51VFCFU9kHWV0Gz29zEToxUHgUVbOBkzMKDpDItiGItAwqOWD8X95ecBAGW8cKD65KNbhtPNwtD8D78nh4Nt4Gxyv3dopBeXUzrM/cXVAQpsLwLw/D1HpU+Ml1PiORCFTV0+n2ZDA6nS64XJ5EMAYTwdi9PeH00OPRfpSpUjTy6KfJZIPfH4DfH9Ds8cxmu/BzByNK9IFBaABEH6xUO7UaFXQ644tDJEcFAXQjBh1wul6B2r4QwVPDhccQ/R2CJ5uLipHAnpklh0xk2xCEDt9U4DzCGoR3DhceX5VkeMtAeHbeCfWfi+DbMBbuV6bB8fJdWWPQ+ew8WB4uPAZTUfjwHJj/vQmmy1eEn2TnMhKJZg3CQk6ybbbC9oTLDEZvIhiVRDCW532V47LDStHj8SIcNuZ7M5lsqe1XtHo8BmF5JPrAIDQAog9Wqo1ajgoGAiEA8VFBVY1fMqoonhIe7zQUyx8QODNReATR9CAsbs+/7swjjLYMgP+zBYVfNvp1aVtdGNHgtklQtz4I78ZJ8RjcNBvOF3+fNQbl1c2wv/Jg0TGYEYarlsF08BPhJ9rZjEZLC8J8dt5E3J8IxkinYIxEookICCT2YHQn9mAsfeN1r1f7yw4rRSOPfppM8ZVvtdwbk0FYHok+MAgNgOiDlXZPbUcFfYhGo4hGY/B4fHA6VbhcHgBILOBQRFhaPoLv3Czh8UOzBeGEosIk8EnpI4TRlgGItAxE4NC4woLwaOlzFo1ieMtAeHbcBfe/lsK3YSx8G8ZC/dsCOP+yKGcMyqubYduUf0GZgsLwlTUwnT0r/IQ73Wg0CpdL+yDMp8XiSASjWkQw+hPBqCaCMfeWGj5f/PFEf77lsBxz7CrJcDgCt1u7lW/NZofw8wktrZT5kEQfGIQGQPTBSktXu1FBN4LB+KhgMJg5V1BR3AAAVfUW/Hjqr28g3ForPHxoriAcU1zQbRuCyNbubQkR2DeroCAMHRsqPMhEGtg2GWrLQ/D+9dZUDLreuAPOZ+d3GYPy6mZYnu/eCGFGFP5hAUxb/w3TVZPwE2+TyYZoNAaXyy38dXS0YzAmIygSyQzGWCyGSCTSKRiDwaCBgzBg2PdmMpV+GXMujRaE6YqMQ6IPDEIDIPoXBS1et9tfVKAVOyrYMRYBwO3u/LWcWi3wHF+L0FGuIlqJhk+NLH7Uan/hW1Xk0v/91MIWl/lknPAw09vwlkZ4tq+A+u6dqRD0bRgL15t3wrludt4YdK6dBvNjCzQLwlQYPnM/TIe+FX7yHYtVZhDm02p1JPZgVBN7MBYWjPE9GFXY7TIsltwjjJWs3x/UdNGVSlPrn0kjBKHZrMBqVfHaa2/izTf/hXPnfhP+mog+MAgNgOiDlRanw6EiHI4gEAhpOCoY6nLRGABZY7FLHS6oR99F4LspwgOIdvDUjcXH3P4l3Y+eT25D5HCv/JeNfjdPeKDpaWD7bVC3PATPq80ZMai8dS+cT83IG4Py6mY4XlqheQxmhOE/N8B08ZLQk29F6XlBmM/kCGHnYMy2B2N86w2vt2cEYyAQ1HTRlUoTABRF1ezxzGan8POL7poMwieeWI2xY8dh2bI78e67/8WJEz8JGyUk+sAgNACif4HQwkzfYD4UCiMYLD0Ir48KRgsa+evO/oOuUwfg23cPQkfrxYcQRaT1dwifKCFa9hS+VUWXHlmYf4P61mnCI00Pwy1N8Gy/G+p7KzJC0LdhLOR/PAjnmmkFxaC8uhm217SZP9hlFD6xBKZ9O2Bqt/b4k+9KMd9KlVarMzHC6E4EY6CAYPQlgtGVCEYxW2oEgyF4vcYMQrPZDgBwOl0aPmbPD8Kk1645sHPnXqxYcS+GDRuOOXPm4a233sHZsxdT0aiXRB8YhAZA9C8Omt+O8wSDwRBCoXBZRwXTjUZj8HoDpY9GXjoN75a7Efh2mvAYor9D+Hhd0fES2ToIka1Duh1BoZ1jEDlc33UUtg5EtGWg8GArp/7tU6F++CA8r03PEoMPw7l6asExKK9uhnXjo2UPwlQYbvgjTKdO6noCDgCybMwgLDWazGZbYg9GBS6XGx6PF35/ILEHY7ZgDGcEY3wPRrlsezCGQmF4PNqtwllJWiwOAIDDoWj2mEYKwnTPnr2I559/CUOGDMGQIUPw1FPP4tSp87o9P9EHBqEBEP3LguY2fVQw3eQqd8WPCsYKHhXMDMIofL7Sg9DpVOE0t8Pb8hC8u5YjdKSv8CiqZsOtUmkxt6/78wijLQPg/yr/KGHos9uER1s5DLcMgmfr3VDfu6dTCPo2jIXzrUeKCsGk5tXLdAtCy8rZMD8yD+YP3oLpyjVdTsABYwZhOaMpvgejE06nKxGMvpzBGI3GEnswBuHx+BKrSrsSezCWFoxar8JZSdpsTgCA3S5r9pgWiyz8nENrL1824ejRU/j006/w4osbceONN6Gurg51dXV48MGH8euv7WV/DUQfGIQGQPQvDNrZfFtJ+P1BRCKFBWGpo4LpRiIR+P3B7gWhU4XTLsN94GX43p6OwNczhYdRVbu9+FVDg5/eoU0UbR+G8OHGrucRHjLePEL/9ulQP7gfnr/N7hSCng3j4Pj7wyXFoPMvi3SNwYwwfOpumL75vKwn32ZzMgi1uzyvUgyHxY2iZQ/GYCIYM7fUiEajiWAMJILRnTcYtV6Fs5K022UAgM1W+h6UHTVSEH7yyWfYtOkNrFhxDyZNmoz+/fvj1lun4NVXX8dPP13C118fxm23NWPRoiVoby/vyCjRBwahARD9i4NmmmtUMF2fL4BoNJo3wDye0kcF003OTel2ECZ0Hf0I/tfHw7djOUJH+4uPoyo0vHNE0UET2tu9/Qgz4ujzrkcJA623CA84rQy3DIZ7691Q/3MfvC91HhX0vDQRjtcfKikG5dXNsL/6sLAgTIXh63+G6fwvZQsXQNv5WpViJY+ixYNRTgSjBx6PL3F1SrjTHozZgjH+d8cLs1n8e9Fah0MBAE0X9DFKEJrNCiZOvAWjRo3GwoWL8de//g0nTvzU6X7//e8W9O7du+yvh+gDg9AAiP7lQeMWs8G81+tHLBbLMyoYBgAEAqWNCqbb3UVssqmcPwrfP6fD/49m+L+eKzyQqs3w7puLDpvI1kGIbrtJk0iKbB2E4KGROYMwcuQGRLZ3f86iaP3bZ0L97z1wvzk/6yWirr8vhvXvj5ccg/LqZthefUx4EFpWzob58UUw7foQpmsWzcMEMGYQRiKRHjuKZrHYE3swuqCqHni9XQdjfAGdQGIPRjccDgVWq3YjbHrqdLoAQNP5lxaLvoutlMtr1xx48MGHcezY6YzbLRYXLBZXakTwhx9a8f77H5b99RB9YBAaANG/PGhho4IdR/4AlHVUMN1SF7HJ67XL8P9vBQKbRiG48y6EjjYJD6VqMbR3QmmRc2C+ZrEUODC368tGv9BoZVMBhrcOgbslOSo4vnMIvrUYzncfh3PDMlhe+WO3gtCy/j7hMZgRhn95GKbWo5qGR/z3nXYLeFSK0ahxL6sEAFX1QpbVRDD6U/PfOwZjJNIxGNVEMFbmlhqKEg8NLR+zJwehxeLCTz9dwrVrDpw48ROWLbsTVquKq1ftaG93pracOHr0R/zhD39M/Rs9XhvRBwahARD9i6SaLWZUMF23Ox6Espw5Khj6/9k777+mDvb9/zOfLzxDa1ulrU/VVquCC5zIdLBkKRCGgLKnKIoMcW/FASqODmytrXWLFhyVoQREEgIkIXtyfX84nJBAAhlnYMj9el0/eBKSk7Qcz9v7vq9LY9wVpA7cVCrqgZDcbRzSqaFqKIKqcj6UR7yhubeRdViaCtL8utw+2LkbTik4qR4tswyET/1ZBzu7YPBmIJQXY6E4vmkMCEqPbob4DAfC/VEQZ/mg72AGevfb3yEU5qwDP8mfdQgcA4WJfuCfqQKP20XBjTL1jo6TRXo9teHmk0XWdHV7eweGO4ymwKjTmQLj0NAQdDqdIaJjMgAjMRI7ROlrfspA2NMjxKFDx7Fo0WIsX+4Nd3d3REXFIjk5FTk5BSgtLUd19VFs3RqH+fMXQCCQMBY/4SpmygWETlBsX0imqmztChpLIpEDAMRi6XBXkBghJXc2qO7kKZW2u5pOBLSjcxAlD89BWbUQqsr5UF0Nh/rpN6xDkzNLfWelfcDTQN0eob52JlQ/rbYIhOrnC1mHO5tAsPZbyGtjIKuJg7xsiQkIKk+FQ3EuBvLTqRDnroE4ywfivHXoq8hBX+VOu4FwoCyWdfgbFwwzwsG785NDN8oCgfMC4dDQEMRi5wNCKiBeIBgYzmCUDGcwKoczGK0DRiKDkR5glEhk0On0FH9n7AS3U6U//niInJwCBAdvgru7O4KCNsLHZyUWLVqMuXPnYebMWZg37zscPnwcAoELCJ2tXEDoBMX2RWSqqa/PcaAaHJQBIMZx6OoKmgKhCjrdxCY2E3cFJeM6norf/AXVUR+iW3h4ORS/b2AdnJxV6rtr7AOfuq+gvTKHUpBSPlxrYY/QHdob37MOelZ9hqv+kJ4Oh/RYqAkISo6HQnIiDJLDmyHaF0GAIKlDaejbkw7RgUz79werUlmHPqvAsDwbvDdv7AYDAJRa/E8WAYBY7HxxGkz8NxsPGI2LyGDUDWcwKiGRyCASOQaMMpkcWq2W0s/zqQMhqRcv3qCiopr18yDlKmbKBYROUGz/sk4lOdIVNAEnMQGEZFdQIqG+K2gsa11Nx+8Kyoe7gkOQySzvNqr7u6A6H0J0CivnQ3EpBOonc1gHKGeT+p79nT7Vz9TkEZLS3FgC3ZP/mB8bvUfte1EtTe0cyC5GQXI2FvKy5SOjocfCIDkRCtn+ZRAeSYQoe6UpDGb5gJ+/Fbzkjejdn26/wyiDgfQOQ2FKEHhXzoDXzbPxxp/6zLfJIsA58xXJnL6+Pvb+mwkEwmFglA4Do2oYGE0zGM0D4+AwMJo3jZHLFdBoNJSdK5/fTxkQtrRwERoaji+//BIeHh7YsSPLYrRDff2P8PJags8++wyLFi3G1au3DI/NmDHDRNOnT4ebm5vBCKamphb//ve/DY9NmzYNW7fG4Z9/3uPmzQbcufMX7t9/imfPmtHc3IqWlk68e/eR9piJ0XIVM+UCQicotiFpKsjeXUHzMDiyK6hW02D0YkYTuZpOJJWK6ApqNNoJHU/Vag1UMglk9ekGKFQeXArFb5uhaXRjHaScRer79oOW8vYm6jtsfwWYB8JnvqxDn8VzvhYE2cnNkJyIGAHB42GQngiBYt9CDB7ZAuHuTWNAUJzlg4HybeDlc8CP93cICAU7N7MOejaDYf428J48sBkunA0Indk9lczpm6wuonz+CDASGYxyKJUqaDQa6PXmgFE7DIwKSCQyqNVqqNUaylxG+fx+yu431q/3R2xsHLq6BHjx4g08Pb1QVlY55nmNja8wbdp01NZeR0+PEDU1dZg+fTpev243+7pbt8YjKGijAegyM3MRH58IgUCCw4ePIy6OA4FAgnPnLuGbb2bDx2clfHxWYs2atVi/3h8bN26Gr68fjhw5CYHANTLqbOUCQicotmHJ2UVVV1AoNN0VBECZi+jE72vZ1XQ8SSREV3BoaAgymdKqnzE4mg4MQvLHESgrF4x0Cy9sgvrx96zDlDNI9dB+wxb1j6sohyvttfnQPvliDBBqGv/HOviNlqZuHqQXoiA9Ew1ZuQ8xGnoiHNLjBAhKK3wgPMQxC4KkekuTwCvNAD/eH/z9O+zbH9wdxjrcOQSGx0rBe9cx4c3ySLdpcsKFvXJm91Qyp2+yuoROJCKDUQgig1EKmUwxDIzaMcCo1w8NZzCqhzMYZRAKB9HXJ7QaGKkCwufPX8PNzQ1v3rwzHKupqcXcufPGPDc/vxiBgcEmx4KDN6GoaPeY5548eQ6zZ89GW1uX4Zivrx+qq49CIJDg5ctWPHz4HAIBESdRXn4AFRXVKCrajczMXKSkpCE+PhH+/oE4ceIsBAIJeDxmchddxUy5gNAJim1gcmb191PfFSQD4m2BLEdFupra8jNKpRoA0RUkzW+sEWlLTv55sPk2lAeXjnQLq72g+DUUmkZ31qHqU5bqsf3xEbpaD8r3CPW1M6H8w3xYvfonT9YhkJTiajBkx4IhORVpBIKbodi3EIp9CyE+FgtRcdC4MCjcHQJevD94BYkEEJbZB4R9lZ/OuKhFKEzfDN4v9eD1CCzeLPf1Ed0m5wNC5zXLoSOnbzJJrdZAqVRZCYz6YWBUDQOjFELhILq7e9DezgWP1wc+f4CSe466uuuYNcvD5NjDh8/h5uaGd+8+mhwPDY1ARkaOybGMjByEhoabHHv/vgezZnmgpqbWcIzPF2PGjM+xYcMmzJ07D99+OweJidvR3t7N+n3XaLmKmXIBoRMU27+sziwqgJAc19TpTHcF9fohyOUqRoCQdDW1JuBeIpFDpyO6gnK57cCqVBK248bHRO9fQXHS3wCFqsr5UJzfANXjhayD1acq1VPH8gRVP1EfCaG7MhuaJ/8bOzb6IIB1ENTUfQdZTSSkp7dAVrkakhMRkB7bZABBaeUaCKvjxgVBUoKK7eAlbQCPE0gA4T77gFBQvp11oKMMDEvTwXvZbPbmmxw/dDYgdObdSJGIuBHn89k/Fzqk0WghkyksPm7aYZQNA6MaGo3W4JAaFBQENzc3zJo1C97e3ggL24KMjGwcOHAYV67cxKNHz8Hl8m265zhz5gLmzJlrcuzFizdwc3PDq1dtJsf9/YNQWFhicqygYBf8/YNMjpWU7MXy5d4mO45v33Zg3br1OH78DLq6BEhN3YHp06fjq6++RkREJBISkpCRkYOSkr2orj6Ks2cvor7+J/z0029ob//A6H2Yq5gpFxA6QbENTc4sR4DQuCuoVKrHPK7T6aFQMAOEg4NkzIVsQpgj9y1s6QoaS6Gw4GjK74G8NsEECpUHFkPREAZN479YB6xPTapnjgGhsoH6PUJ97Uwo7wSNAUJVI/UjqrZIcXUTZEf8ITkTA8mJLZAe22gAQaIrGAdRgZ9VMCjKXw9eyibwilIIGHQACHvzolgHOUqhMCkA/AtHwev6aHJzPdn30eyVs+5G8nj0BLdPJmm1Okilcrt/vre3H69fv8WlS5dRXl6J1NQ0BAVtxMKFizBt2jS4ubnBzc0N//3vf/HsWbPV9xyXL9fDw8N8h/D9+x6T4yEhYcjMzDU5RnQIIwx/7u0dxNy583Dq1Plx3/fUqfMIDt4INzc3BAQEY/XqtViyZCm++24+vvlmNr788kt8/vkXcHd3x8WLVyAQuHYIna1cQOgExTY0ObPsBUJLXUFjabU6s6BIDxASrqbEboT5x8lsKHu6gqOB0KKjab8I0l/LTKBQVTkfirNBUD30Yh2yPiWpGh0DQvUtH1rgS1frAfXjRSZAqH32BXS1sxgHQU3dAkjPb4H0ZBgGz8ZBemyDCQhKqv0hrIi1CgRJ9VcRIGjYH4z3B3+f7aYywnx/8CcBxNEChjnR4N2/a7h5/tT30SzJWUdheTwiuH1oiNrg9skk4u9mGWWvx+ePOG/y+WK8efMev/12D9eu/YiPH60fJ21sfAU3Nze8fdthOFZTUzumaygQSJCXV4Tg4E0mx4KDN6GgYJfhz3fvPsC0adPR1SUwed6DB43IySlAb++goXN4+/af+Ne//o3u7n6Tz9LVJUB7+we8ft2OR49e2Nz1dFSuYqZcQOgExTY0ObNsBUKxWAqt1nJX0BQItVCpNIwAoVgsBQCzcKpQqAy23RN1EG2B4XEBtbEeymrPUd3CRVD8HAHNs3+zDlufglTPHRvD1NV6QHt1Hi0gpmpYP3aP8Dd6ANSS5Fc3Q35wHQYvJEF6NNgEBGX7FkN0jANR7lqbYFCUtRL8nGgCCHPjRoBwr+1A2F8exzq40S3emSMQtHcZxg/pChlnS87a+eTxiOB2vZ7a4PbJpKGhIQwOSil7PWMgdFRr1/oiKioWXC4Pf//9Dzw9vcwaxTx92oxp06ajpqbO4DI6bdp0PHv20vCc8vIDWLNm3ZifffWqDTNmzMC+fRXo6REiO7sAS5cuB4eTjCtXbuD8+cu4ebMBv/12Dw8fPseLF2/w9m3HmD1GJuQqZsoFhE5QbEOTM8uWEHpruoLG0mi0UKuZAUKRiABCY1fTwUEZtFqiK0jl6Kq1jqbitkYojq0d2y08EwDVg+WsA9dkl+qF4zuAqp/p2+1TPfQx3SN8zMweofrKQsjORUByMnQMCCr2LYTk0EYIy7bYBIIjURMEBPJSCVOZESBMs8NQ5tMIpLdbZQXg5u7HK79U9N34A0N6PXQ6PdRqDRQKJaRSucPh4mzLWTufPF4fpFI5dDod6+dBlwBq8yOpBMK3bzsQEREFDw8PfPXV18jMzAXp6DljxgycPXvR8NwbN37B0qXLMWPG5/D09EJ9/Y8mr5WaugORkTFm3+eXX37H6tVr8fnnX+A///kPtmyJxocPfdiwYRPmz18AT08vLF7sicWLveDltQQrVvhgwYIf8PJlK6P3Ya5iplxA6ATFNjQ5s6wBQrF4BKxsGQE1xDMwAIRCIXFRJQPljbuClsZI7ZVNjqYfOyG/EDkGCpVVP0Dx4xZoGqexDl6TVaq/Hc/3UzZspA/MfvSB7on7yB7h86UMdAVDIDsSgMGaBMjLFpt2BcuWQHQ0EaLsVXbBoDjLB727CVdRXknaCAzG+4NfajsQ9u5OYB/a6OgKpgTjw55itEanozV1N5p9EtDsk4A2TikGXrZCoVBaES6uMAkXn6xOlyQQfqpAO55kMgW0Wi3r50GH6MiP7O1lJoKBLj192oyODmJH8c6dv3Dp0lWcPl2Dw4dPoLz8AHbv3ofCwhKkpKSDy+Uxem6uYqZcQOgExfaFxJk1ERDK5SpDV3BwcOKuoLFGxzPQLWI/UEVLV9AUCK13NBUKJRD2DUD2Y8EYKFRVzofqjB/UD1exDl+TUaqmtY5D2016xziVD/wMQKh7+h9or9KTSai5sgjSs+EYPL8NkuObxnQFBw+HQVgaajcIirN8INwTZugK8vbsMAXCPam27Q9mrQZ/ezDr8Ea1ejKj0VVciLb4LLT4ReOf2AIDEDb7JKB5FQdtZefwsaPbcCNtPlzceut/W7LiqJYzRzPI5QpoNM4JhAIB9XEhnzoQGisvr8jiY7/88jtjZjKkXMVMuYDQCYrti4ezyxzE2NsVNBYRz2DBfIUG6fVDw/BKfVfQWGTEha0upZKH56GsWmi+W3gzAppnn7EOYZNJ6ibHnTt2sQVmAAAgAElEQVR1tbOgvfodbUCoub4YuifTRrqEfzgOsWPe42YUZKfCMHghEfLyZaZdwf0rIDzMgShrpUMwKM7ygaB8uwEAeZnRDgHhQGkk6/BGtT4WpYObk4325Dy0+EWjJSAGzb7JpkA4rFcbM8H98d6EN9nmrP+Jf0gbsf4nS68nx1FVkErlEIulGBgQg85xTpGIBEL2IYdqkZ1cts+DDtHhDvupA2FNTS1SUtKQk1MAd3d3lJTsxenTNbhy5SYaGu7i/v2nuHWrAe7u7i4gdNJyAaETFNsXEmfXwIApuJDjlo6C1bhunBSKMLoh4JWJEdWJHE0tSSSSQNXxBKqjPma7hYoTa6H6aw3rIDZZpG5aQU0X72fH3EonfP17IzEUyqd+lL2u+oonZOejoKpLhvR05JiuoPhoFES7NjgMguIsH4gK/MBL3kDA4M5IUxiM9we/ZLtt+4NVKawDHFXicfzxoSQf3O2paE8vJGDQLxqtsTvNwqCx3u6sQverdgduwvvR3y+CSCSBRCKDXK40TF4YAyN5vaZ6f9GZoxmUShVUKjXr50GH6DAD6u1lFpKo1h9/PMS6devh47MS7u7uWLBgIb7/fj7mzJmL//3vW8yePRuff/4F/PwCGD83VzFTLiB0gmL7QuLsIoHQtCvo+LilNW6cVL2HTqeHTsdMzIVYbDsQSiRy6PV66PVDkPI6oDi72SwUKisXQHE9Apqnn7MOZGxL3bSEGmBroG+PUF87E9qrc6F9MotwGm1c4PjrXZ4F+ZUISM/FQnp+GxQH15qAoLRyJYQHEygBQVJ9VUbdwd07zABhim2B9GXJrIMcJTCYHoauogJw4xPwLqPYAIMtftFoTd01IRA2+ySg2TcF707dQE93L+U3/gLBAAYGxBCLiVF2W/cX+/rG318Ui503mkGlUkOpVLF+HnSIjt3PTx0IBQIJmptb8PvvD+DjswoNDXfx8893UF//Ey5frsfZs5dQW3sdnZ29jJ+Xq5gpFxA6QbF9EXF2DQxQ1xU0lrVunPZBmRQajWn8BXnDQz8QWo64MCelUg0A0Gi0I3uHAgFk9TvM7xVWzofi2Gqo/vJjHcrYlLZ5MTXA9iP9cRDKu8GGLqHmxnwHuoJLIbkQC+npSEjOxoztCh7bClFhAKUwKMpeCX5WpBEQpo8FwuJkm4CQnxXOOsw5qp68JHTm5YEbFYX3mUUmMNjiF42W7butA8JhvY4uQtf9vxkFA4FACKGQ3F9U2Ly/KJXKnRYIyW4q2+dBh0ZGfanb/XQGICT17FmzxcdIt1Mm5SpmygWETlBsXzycXXSZsJBunFabr1gNmubjL5iKuTAXcWFOg4My6HT6YbMb5djnDAxC8scRKCsXWARD9c1IaJ7NZB3OWNFL+8HKWLraWdBfd7xzN+571H0NzeN5xNjoX7aPjWovz4Ls6hZIzsdBeiIE0sMBpl3BA74QVm2jFAQNURMVCSbwx0sPNwOESdYbyhRtYB3mHFV3UTYBg2FheJ9RgBb/6DFA+CYy1yYgbPZJQPNKDlpLT+Pjuw+sQ8Nk31+kWxqNBnK5gvXzoEN0jPqS4e6fssjP0Nzcil27SlFYWIJDh47jyJGTqKu7jpqaOhw/fprx83IVM+UCQicoti8izi6ZTEmLCYu95ivjgRjZFTTXCWQy5gIYibgwJ+PYi4k+/2DzbSgPLrUIhcqjK6H8M4B9QGNYmibqHDvp3iPU186E8tcAAggb19n0c6oryyC5lADZkQBIzm01iZOQ7V0E+ZlkiPLX0wKD4iwf9JaMACEvO3YsDMb7g1+YaH0gfQWHdaCzV7yUjejKzUZnXj64oaHoSM9GS0Ds2O5g0FY0r+bYDoTDehm8Ex3X77IODuMDQD9kMgX0er3J/qJON/7+IjGOOvnzFzUaLWQy5wTCwUEp9Ho9xf8/fNpAaAyDGzZsgoeHB+bMmQt3d3d8++0cuLu7w93dHaGh4RAImO0UuoqZcgGhExTbFxJn12hTGapkr/mKORE3JkPDNyfmRzVVKuaAcGhoCDLZ2K6f8R6mLR1XUccrKE4GWIRCVeV8yK+EQ/3ka9ZBjTEg/HsWdbDWQO8eISn1oyXQNH5jZVfQA7KrUZCcjYbs8HpIj282DZg/GAhReTRtICjO8oGw1LQbyNuz0zwQFnCsN5Sp2M462Nmjnuyt6Ny+HZ1ZOQQMbt+BluC4sTDoF43WuGy7YdBY/6SVo7u5lXWAsKTxwtvp3l+kWzqdDlKpnPXvmA5JJDKL/93s1acOhKRz6KVLV/G//32L+/ef4cKFK1i71hctLZ0oLt6DNWvW4fnz14yfm6uYKRcQOkGxfSFxdtEFhLbu2pkFJZEUarUGAKBSaSASWX6uUslc7qG5MdARgxs79zD5PZDXJowLhcoj3lDeDWId1piQ9sV06kDt5nJGgFD/63oik/D2svEB9Yo3JJcToahaAcnZGMjLlxsFzHtCeJQDUe4aWmFQnOUDQXmqKRDu2m4eCPPjrQ+kL97GOtzZqo9FO8FN4ICblk7AICcFLZs5ZmGwxS8abWkllABhs08Cmtcmo/3YNfR84LMOEqMllcqh1doHFo7uLxL5i/R9NmLlQMb6d0yHZDIFtFrqMhb5/H7W71McFdnxKy8/AF9fPwgEEtTX/4QtW6Lx6lUbBAIJEhNTkJGRbfJ8JuQqZsoFhE5QbF9InF10AeHIrp19QCiVKoadOfUT7uuRQMhU7qFerzd0AI1HWR12Oe0XQfrr/nGhUFU5H4raUKif/I91aKMVCJ+7UQprmmv07hEa3uexL7RPg80+pqv9Cqpb8VCe3AxF9UrIzkaPCpjfDOG+cNpBUJzlA1GhP3hJwSMwmBAIXspm80CYF2fd/mDOOvCTA1gHPGvFSwpEV0EOuEnJBBCGhqJjWwJaI7ZbhMEWv2i0JFMIhKTpzJZ8dP7ZyDpMjAYLOsLbR+8vyuW27C9KKNlf1OuHMDgoZf07pkNyObUZi84GhEFBGyEQSHDnzn1ERcXg9u0/IRBIkJa2ExxOssnzmZCrmCkXEDpBsX0hcXb199MHTsD4u3aWQJLsCqrVGqtNaZjKPRQKJdDp9IZ/0R4aGn+U1R4NNl6Hstpz/G7hoWVQ3NnEOrjRqqtfUwZqyl+CGAFC9c1lUDauHnNcdW0V5Jfjodi/GMqzkSZxEvLy5ZCdSoU4exUjMCjOMo2a4Mf7g5eXYB4G4/3Bz9lqXSD9vljWIc9qGNyxBZ3paejcsRPcmBgCBqNj0Ra7Y3wY9IvG67AsyoGQMJ1JQOuuE/jY1sk6VBBgoYBGw3x4e2/vgNn8RSr3F4eGhiAWS1j/jumQQkFtxqIzACE58nrnzn2sWOGDkpK9aG5uQUhIGIqL9+DNm/fw9fVDQcEuCAQuIHTGcgGhExTbFxJnF51AaNFh04KkUqO8Piu6gsZiIveQlFarM+zKTDTKaq/E7Y1QnVg3cbfw0maoH89jH97o6BLWz6MOCBuY2SPU186E8q8N0NV5QF87E9raryG9Egt59WooKpZCcjYWcuOu4JEtEO3ZzBgIirN8IMpeBX5GhCkQlmZYBsLsWCsD6bezDnpWjYjmbwc3dis6c3LBDQ8nYHBLJNoSsieEwZaN8WheSQMMGpvOBKajo+63SQAW1HaaqNLY/UWVzfuLACASOScQKpXUZizy+QOs36c4Kj5fbNgjLC3dj7g4Dlpbu1BWVok5c+Zi7tx5WL58haFbSD6XCbmKmXIBoRMU2xcSZxedQKjXD0Eun9hcRSQiTGEAQK3W2hVVIZMpAdCTe2gsiYTI5hoash1abdWQbADKS9ETQqHy4BIofguBptGNdYijFAhv/kDdKOeNpYwBobZ+AVS3V0J5dTWkp8OgLFsI2bENJnESsnIfCA9xGAVBUgOVnDHQxytMtgyEmdHWBdLvTWQd9sbtCib4obsoB9zwcIOTKDc0FB1h4WhPyZ8YBv2i0caxI27CXtOZ5H348OIta2BBdaeJCfH5fcPjqBPvLw4NDbGyv0i3qM5YdAYgHC1j4Dt37hJycgrGzSekU65iplxA6ATF9oXD2UUnEOp0+gndNiUSoitIOHfaD1hk7iGdgKZSESHz5F4L3fA5NDQE2aAEsp8KJoRCVeV8KC9ugvbJD6yDHFXS/OxFKahp6hcyA4S1X0FStw2Kci8o9i8aEychPhYDUXEwKzAozvJBX4kpEPKSgsFLDLYIhLyMSOsC6XduZh36LMJg6mZ0ZWWCGxGBzpwcAwxyQ0PxLt1M8LwFtabZFkjvsNYkof1QLXq6eIyDhVL56QHhxHDTj4EBMQBALleMu7+o09Gzv0i3qI7U+NSB8PLlelRXH8HZs5dw+fI13LzZgDt3/sJffz3BkydNaG//gA8f+vD+fQ+jnUFSrmKmXEDoBMX2xcTZ1ddHH9BotbpxjVZIwNJo7OsKjgZLAA6/jjkZh8zLZErGMg+NR24lD2ugrFo4MRhWe0JxOxSaRnfWgc5hILxNrTuo8mfzZi9USnV1KWSnNkNZthDyQ76QnggZCZivXANhdTxrICjO8sHg/ugxwNe3O9VydzDeH7wdERPvD5aEsg59ltSTEw8uhwNubCy46TtMYTCz2GoYbPGLxtvEXcwCIWk6E56Hzt+fMAoWVI8eThYJBEIAQH+/aMxj5vYXiXHUTyd/UaulNlKDzxeyfp/iiGJituG7777HkiVL4eW1BEuWLMWSJcuwYoUPVq5cjTVr1iEoaAPWrFnLSpfQVcyUCwidoNi+mDi76ARCjUYLlWpsJ00ikZsAFhXvRQLhREHwtspcyDxTmYd6vd5k5Fb8z30oj/hY1S1UnA+G6tFi1qHOEanv+FALhL9soBUG5dfCID+wEsqyhZCciYa8YrlRVzAOogJ/VmFQnOUDwf6UMcAnKMsaFwh7rQDC/sok1sHPnLqLMsGN2AIuJxHcpCQTGHyfaX1nkNSrjRmsACGploKj+NjCZQQsVCo1FArnA8K+PgII+/qENv+sbfuLWpP9RWIclf78RcLkjLpIjU8dCJ89a8bt23/g5s0GXLx4BceOncahQ8dRWXkQu3aVIiMjGxxOMoKCNqK5uZXx83MVM+UCQicoti8mzi46gVCt1o4ZrVQqR7qCVMLb4KAMAOzLADSj8ULmiREj+jMPjeMtSIm62qA4G2LdCOmBxVD8Eg5N479Yhzu7gPDuGkqBTXNjCS0gqK6dC8mlbVCULYS8ygeS05EjAfMH/CCsjGUdBMVZPhAVBYKXGDS2Aziew2i8P/ipoRNHThxIZx3+TEZEk4PQlU+Mhnam7wA3dqspDGbko8XfNhhsDU1iFQZJvfRPw/tLDejpEdAKFlTvok0W9feLhu8tbAfC8cHJ+v1FOvMXh4aojdT41IHQklpaOtHR0cP6ebiKmXIBoRMU27+sU0F0AY1xJ8147NIW51HrAY7IPaQi/mGikHki85B+INTpzI/civv7ofox0yooVFXOh+JMIFQPl7AOeDYD4b11lMObpn4RtV3Ha76QngqBsmwhpKfCIKteQ5jG7FsM0bEEiPLWsQ6CpPoqxwbP81I2gxcfMP7IaMqmiR1GiyZP5ERPRhQ6t28nYDA7B9yICFMYTM9GS2Cszd3BtqQC1mHQWG8SSvHh2WvawEmj0UAudz4gJHcImR7tJPIXRRAKB4fHUenZXwSodVDt7WUugoEO9fYOord3EDyeCL29g6iuPgpfXz8sX+6NNWvWITp6Kxoa7rKyPygQuICQqXIBoRMU2xeTqSC6wumVSvXwHqHx2CU1HbzREokIIJRK7QdCsdi6kHmmMg/N7WAaw6rs3jEoKxdY1y2sWgjFTxHQPPsP66BnNRDe96McCJW/ULNHqL3sAenVrZAfWAlF+RKTOAnJwWAIyyJZB0CT7mDOavB2ho2FvV3j7w+SpjPjdgfz/cFPZB8Eeznr8bEwDdzoaAIGjZxEDY6iKTvQsiHOZhhkxVDGGq1KRFvVRfR09tAAhNSak0wWCYWDAED76Kbt4GX7/qJcbrq/SO5HCoWDkw4IW1q4CA0Nx5dffgkPDw/s2JGFnh7z3cf6+h/h5bUEn332GRYtWoyrV28ZHpsxY4aJpk+fDjc3N5w7d2nC9zlx4iy++OILREbGICenAMnJqVi+fAWmTZuOe/eesHL/5SpmygWETlBsw9JUEF1AqFKpDRENE7mNUiEAdkdB2BIyL5eroNfTn3lIZGgRI7cikXlYHWy+DeXBpdZ3C0/7Q/VgOeuwZ41UD/1pAELH9whVVzwhuRgPRdlCyI4FQ3okkOgKlnlBdDQRopzVrAPgaPVXJpqHvdKdEwMhJ3D8/cH9cayDII/jjw9FOeCGhQ07ieaNgcF36VloCU+xCwZb/KLxNqGYfQC0oFch2eA2PKQUULRaLWQy6sxJJotEIuLvCrbPw1ZZu78IADqdjrL9RaqAcP16f8TGxqGrS4AXL97A09MLZWWVY57X2PgK06ZNR23tdfT0CFFTU4fp06fj9et2s6+7dWs8goI2GqDP0vv09Ajx3XfzUVZWNeY1oqJisHHjZlbuv1zFTLmA0AmKbViaCqIDCEkzFmKfgZ6u4GjZY1IjEkmhVhMZiOYMcMwDIdGlo/vzaDTEDqZUqoBer7cIq6KOV1CcDLAaCpVVP0BxKwKaZ9NYh75xgfBxIPUjo9c9Hfp5+bUQSE9uHo6TiIW8zJMImD8cCmFpGOvgZ0n8wjjzsJe1dUIg5Mf7jz8uWpnKLhCmh+FDVgYBftEx6NyZYToiuiUS77N34W3ybrRsTrQbCF8GprEOfhPpbc4hdP/znhIA0emodaucLBKLib8r2D4PKkXuLw4OEpMyCoXSxv1FscX9xd5ex0cpnz9/DTc3N7x5885wrKamFnPnzhvz3Pz8YgQGBpscCw7ehKKi3WOee/LkOcyePRttbV0Tvk97+wd8/vkX6OzsRU+PEB8/Dhgg8s8/H8HDw4OV+y9XMVMuIHSCYhuWpoKohBhjMxaNRssIOBkDoS37iVKp3ABatnQWZTL6Mw+FQonJv/6q1ZrxIzX4PZDXcayGQlXlfChO+kL7aDXr4GcRCJ9QD4QEFC62/Wdq50ByJQHyKh/ID60zxEnIypdDeCQRouyVrEOfJQn3RZmHwfQIq2CQH++Pgaw1FoGwd3cCazDIL0hGV0ICuKGh+JCUhO7UVBMY7NqZjfeJ2XiXmIsmnwS0hKfaNy66JZV12LNWL9en4v35H9Hz0THTGZ2OWrfKyaLBQSn0eucCQlKWDHNs2V9sbn6JwMBAbNu2DUVFxTh27CRu3bqNFy/eWBzxnEh1ddcxa5YpcD18+Bxubm549+6jyfHQ0AhkZOSYHMvIyEFoaLjJsffvezBrlgdqamqtep8nT5rx/ffzcePGL2PO7+zZi/j22zkQCCSM7xK6iplyAaETFNuwNBVEVYeQ7AqSZixMgRMpc66clkRmIKrVtmcgSqX0f67BQZmhw2p117NfBOlv+22CQlXlAqh+jITm2QzWAXAMED6jBwhtHRtVXlsDyYU4KMoWQnomGvKKFUSUxNEoiEo2sg58E0lQNjZqgh/vD97udOuBMHud+f3BrNXgp25gBQa7i7MNhjGdqWngbh1xEu3YsgVdRfvQtikOrYExaI0tRJM3B+2xmXYBYVtKEeugZ6vebCtB1+OXdsMF1fEFk0USCWFwxvZ50CF7DXOM9xdbW9uQnJwMf/8AzJs3D+7u7nBzc4Obmxv+9a9/Yd6877B+vT/q6q5bfY9x5swFzJkz1+TYixdv4Obmhlev2kyO+/sHobCwxORYQcEu+PsHmRwrKdmL5cu90ds7OO77kF3DFy/eIDs7H3PmzMXFi1fw++8P8OjRC1y8eAWenl7Izs6DQOACQmctFxA6QbENS1NBjgKhWCw1dAWVyhEgI8GJjrB4c7LkymkKWo5nIJKZh3R9LhKs9Xq9XfEWg43Xoaz2tK1beHwtVH+tZR0CTYCwkS4gtM5YhjCOiYb0xCbIq7whORNFBMxX+EB4KIF10LNGouJg8DiBFoBwh/VAmOtnPpC+dAvz+4IpG9CVm22Av86sbHC3bBmBwdR0tKcVoDUgGq0B0WhLK0GTNwdN3hy0bM22DwjTS1kHPLu0ioO2/efR0/HRZrigOr5gskgqlUOr1bF+HnRIJKLeMKe7ux/Pn7/GrVsNOHLkJHJzCxEVFYNLl65afY9x+XL9mJFMsnP3/r1p9ENISBgyM3NNjhEdwgjDn3t7BzF37jycOnXepvdpbm5BSEgY5s6dhxUrfLB4sRc+//wLhIVtQVeXgJX7L1cxUy4gdIJiG5amghwBwhHXS/2YXUG6wuItiTBhsQyEpm6n9p8TXZ+LAGutwYSHdGm167XaGgnIs6lbOB+K+ghonn7BOgzqnv8/qJ4HsDYyqr6yGJJaDuRVPpCeDIOseu1wV3ArREWBrIOeteqrtOwiytsRaT0Q5pnfI+yrSmEUBnuytqIzeSRg3thJtCMiAh2Fu9EWkWyAwdZQDpoD0kaAcFuufUDIKWEf7hzQq02Z4P74l00gMDQ0BLHY+YBQJlNAo9Gyfh50iI79SOMOnL1qbHwFNzc3vH3bYThWU1M7ppsnEEiQl1eE4OBNJseCgzehoGCX4c937z7AtGnTx0Dc6PdpaelEVdVhk/fhcvm4cOEKSkv3o7R0P37++Q6r91+uYqZcQOgExTYsTQXZA4TWRDRQHRY/kUgTFnPnQXYw5XLH3U7p+FykyykB1vJhgFVDp3Mg3uJjF+QXomyGQuWxVVDe82MfCF9Q7zI6AoVeFh9TXNsIyfltRJzEOSJOQlq1DsID21gHPJu6g7lrwEsfGzXBj/cHLzPGahjkx/tjoCDILBAKypgDwo9FO8GNiiIAMDwcnbkjTqId29PwLrsErYHRIzAYEI3W1D0GGGzy5uBtQoHtQOgfjZfrt7MOdVTobcYBdL9utwoEAEAspi7PbrJILldCo9Gwfh50aHBQBr2eunFYPr+fEiAUCCRYu9YXUVGx4HJ5+Pvvf+Dp6WXWKObp02ZMmzYdNTV1BpfRadOm49mzl4bnlJcfwJo16yZ8n4qKg3Bzc8OqVWtYi5WYSK5iplxA6ATF9i/rVFB/v63wMtIVHC+igcqweGukVmugVmtNjsnlpnuNVLyPWEwCoeOfSySSWHQ5pSTvsG8Asp8KbYZCVeV8KK5FQPvMgz0g/NuXNiA0t0eorf0fJHVbIT2+CbKjQZAeCYRs7yKIjsVDlL+edcCzVf2VSZa7g3smjpswAcLCjWaBkJ8dQf+IaGIAPhTkjJjFREWjMzOTAMHwcHTkl6Bt205TEAyIRtu2DDSt5JgAYUtike2GMtE7WAc5SuWbgnenb6Knu3ccEKA+4HyySKEg8v3YPg86JJXKodNRNw7L5/dTdp/x9m0HIiKi4OHhga+++hqZmbng8YhIixkzZuDs2YuG59648QuWLl2OGTM+h6enF+rrfzR5rdTUHYiMjJnwfWbN8oC390p4eS3FggU/ICEhCfX1P+HDh5HOIlXAa69cxUy5gNAJim1YmgqyFgiNs/DGG800fj5gfzagrVKpNNBotAYYJV1OJ9ortB3iqAFdiYR0OR0y+x1RmXcoeVQDZdVC28Hw6Eqo/gxkBwib1tIIhEGmf766GpKLcZBX+UBybivkZV6QVAdAWB7DOtjZK36B5UgJXkmabUBYtHmsoUxRMP0wuCMCnenpIzAYHw9uynYCBpNT8D5/D1o3bB0Dg60B0XiztdAEBpu8OXibtMv2cdHUXexDHA16HVOErgd/WwQBgNqA88kipVIFlUrN+nnQIZlMAa2WunFYKoGQLfX2DuLBg0bs21cBX18/LF7sibg4Dq5cuYGWlk7Wz89VzJQLCJ2g2P5lnQqyBghtCW43FgDIZEwBIbFzZzx+SUd3kgw2dgR0lUq1IZrDkjkN1XmH4n8eQHnEx75uYV0Y1E++YRgIV9E3Mlq/kOgKXp4F2ZUtkJyPhfzgOkhPhEK2zxPCYxyIcteyDnX2aqDM8kgoLz4AvNRQm4CwvzhsbCB9BYfeEdH8FBPnUO727eDGxaEjLAzc/CK0b88zC4KtAdFoSy0aA4NN3hwii9DWkdHtu1mHN9q0koO3FZfQ3cEzAYHeXhIIxaxDDtVSqdRQKlWsnwcdksup7X7y+QOs359QqVev2nDo0HH4+vphwYKFiIqKwZUrN9He3s24uygpVzFTLiB0gmL7AjIVNB4QEsHtZFdQA5HINgixNRvQEZGQRZ4rne8F2Ae6xjmNE30vMpkSALXxFqIP7VCcDbELCpWHl0Px+wbGgFDd5E0bEOprZ0J5wxfSi7GQHt8I6ZkoyCu8MXhoE4T7IlgHOkfVuy/ZMhDmmg+pHxcId4WPNZSp2E5PVzDBD91FOeCGh4+Yx2RmgRsZCW5yMt7n70ZrWKJFGGzdFIeXG3aaB8KUPTYD4ZvoPPbBjSa9jNmF+2Gn8NPSM+ho7DCAgEAwAAAYGHA+IFSrNVAolKyfBx1SKKjtfjoLEPL54jHA98svv2Pr1nh89dVXWLHCB3/9RewYMj1C6ipmygWETlBsX0imgvr6zMODVKqAXj9kc3C7sWzJBnREUqnCkNvHxIiqPbEVI46s1u0z0pZ3KOiD7PpOu6BQVTkfisuhUD+ZQzsQal8uow8GrwVAUhML2SFfSM5EQ7Z/KYRHOBBlr2Id5hyVcNdG8DgBloGwNMN2ICzZMjaQvngb9TC4fRO6sjNNwuU7c/PRERaGjrwCvMsotgyCpNL2mIVBAghLbQPCwFg0r0lkHdyoVpMPB6855Xiw4Sj+DDqNOvcK1M86hDf1zcNAKAQA9PeLWIccqqXRaCGXK1g/DzpEdffTGYCwt3cQ5K4iqc7OXjx79hI//3wH8fGJcHd3R23tdQgErhxCZy0XEDpBsX0xmQoaDYREV5AwOlGrNQ7l7el0epNsQjqkUqxCgIEAACAASURBVBHnSnbe6IZBEgit7Xwa717ass84kuNIz2eQ/HkUysoF9nULDy2F4s4meqHwlSctMKi+EQvlxTgoTodDftAXkqMREO0JYR3kqNJ4URP8eH/wiix3Dy0C4e4o0/3BnLXgJwdQCoM9OXHgcjgjMBgWhs68PHATk/A+rxhtsekTwmBbdBqaVidRBoSt2zJZhzfKu4J+aXgZU47n0afRMLMY9zdeQJ17BaF/V6K5/AGkUjJr1fl2CLVaLWQy5wRCqruffL6Q9fsTqvTu3Udcu/Yjiop2IzQ0HF5eSzB79mwEBW3EqVPnweXyWDkvVzFTLiB0gmL7IjIVZAyERFfQstGJrZooG9AhoJEYh8wraBmxtCRrO58j36ft+4xk3qEjQD6e5HIldO//gurwcvu7hRc3Q/34e1qAUNP0PaUgqK2bB/mVOChOhUBxMR7yCh9IT2yHOGsl6xBHlUS5a8FLC7EMg4lB4CVtsBkI+/bEmAbS74uhFAa7izJNwuW5kZHgZmWhIycf77N3oTU4duLOYEA0/kkotgiDTd4c/JO810ZDmU87f3AMDIbm4snaAjzeeAANHrvQMLMYDUtPjgDhsB7G3oJWpjb8PazT6QywIZXKIRJJ0N8vQm/vAOsQZKt0Oh2kUjnr50GHNBpqYfdTB8LXr9tx+nQNtm1LgJfXEsyfvwBeXkuwZUs0jhw5ifb2btbP0VXMlAsInaDY/mWdCurrI4xSyE6bo11BY2k0Wlr2+YxNWciAeNpGLM2I6HyOD7oqldqh75MEQvLzUSXjvVCNRgtdfwcUpwLthkLlQS8ofg2BptGNWiD8+3+UwaDq6kpILsZBemIzpEeDIT4aA1FxMOsAR7X6q8bv/vEKE22GQX68P/pKY0cF0lOzP8hLDkJXfo7JiCh32zZwc3LRkZ2P9uRcq0CwNSAabSkF48JgkzcH/yTZODKa4jyGMi+3leKRZyYe+Zbi1zmlBAzOKsbVzw+MAcI69wo0LD2Lj00fIBZLIJXKDXENOp3e5O/ooaEhaLVaqFRqyGSK4XH4QfT1CcHn97MOSaNF/OOcjPXzoENaLbWw+6kD4fLl3pg2bTq8vVciPT0TZ85cQHNzi8lz2DKTIeUqZsoFhE5QbF9QpoL6+6WGriDVjqDmsgEd0eCgDDqd+ZB5ujtqxtJqdRaBkDhHvV17hqNfBwBl+Ynkd0R2LKVS+YiTKb8H8rpEu6FQVTkfipqNUD36gUIg9KAEBuXXQiA5vxWSc7GQVvlCWB3POrjRJX5e7PhAaMf+ID/eH317t5kG0u9NcnxENCMKnanbTWCwIykZ3MJivM8sRGsox2oYbA3eilchWRMC4ZtE20xlXkfksA5yjqppVSKaYvfh4YIdeLgsH797VRAwOLMYdzzHgqCxrn15EK9rzUdTCARCCIViDA5KIZMpoFSqoNFoodcPmfwdrtfrodFooFCoIJXKIRZLMDAghkDATndxaGgIg4NS1uGNDlENu729ItbuS6hQRUU1btz4ZQwE8ngi1kGQlKuYKRcQOkGx/cs6VaRQqGgBKeNsQEdFhsxrteZNWejqqFkCQnOdT4Vi5BwdPQ+xmFogVCqJjqVx1IXJmO2AGNLfyh2CQmX1YigawqBp/JfjpjIvPnNsRLT2a0ivboPk9BZIToZDfCwOokJ/1qGNLg3st5w7aADCfPs6hIK98aaB9DtDHIuUKEwDNybGtDOYkYn3mTl4t7PIehAklb57Qhhs8ubgTbwNsRPBcWhexT7QOaSgHWjcWIKHC3biwcJM3PM9ZIDBhpnF+HP9sXGBsM69AnX/qsDjwjvo6RHYABL96O8XQSSSQCKRQS5XQqVSG/4xjyzyWqlSqSGXKyGRyCASDaK/X0Rbd5H4O0LCOrzRoaGhIYjF1MHupw6Eox1DJwsEGstVzJQLCJ2g2P5lnSoaGKAHnJRKIhvQMTCSGgxjxjOooaOjZkkajRZqtWbUOWoxNDREmauqWCwFAIezFI2/v9FGODLZ2DHbwcbrUFZ7OtYtPBcM1aPFjgHhc3f7jWOuLIakNgGSs7GQHNoIYWUs68BGt3r3Jo0Pg8mbwEsItBMIOSP7g7vsh0E+xw+8kgJww8JGuoKhoejIzce79Gy0RafZDINtW1LQvC7FOiDcVmL9/mDCp90dfBVVhMfeuXi4YCcBhJuPmcBgw8xig8OoNbqzsQ4f2j5SAhoCwQAGBsQQi6XD46gqaDQa6PWm46hEd1ELpVI1PI4qHe4uCu16Xz6fAEJnNMvh8cjPRh3sfupAKBAwHyNhq1zFTLmA0AmK7V/WqSK6gFChUEGn09v98zKZ0hAyPzg4PhhRBVDWSK0e6XzKZAqrz9EWiUTE55FK7X9N03MbC8qWnExF7c+hOL7WsW7hgUVQNkRA2/gf+8Gw7mvbO4O3giG5GIfBMzEQHUuAKG8d67BGt4Qlm8BLmKA7WLzdLhjkx/tDsG8ECPsr7RsX5aWF4mNOlumIaMp2vM/Ow/vMYrQGWWccM1pvk0qsgsEmbw5exxRb7zCa9mnuDzZ5J+Bl3D48/GGHAQYfhx4ZA4MNM4txx9d6IKxzr8CtBSfw7kE7rVDD5/ejr08IoXAQg4MyyOUKqFRqwz9qGZetZje9vf0AAKHQ+YCQjs/W2zv5OmrOJlcxUy4gdIJi+5d1qogucJLLVdDrbY+CMDY+sdallAqAslbkKCwZz0GHcY5QKBn+PLbvdYpEEqNzs/z9jbt3+bEL8ovRDkGhqnI+1OeDoHq41D4grJ9rEwwqbsRAVZcM8fEoCPdHsQ5qTEl0cOfE46J7Jn6ORSAsSxrZHyy33VCmJ5cDbnz8CAhGRYFbvAvv0zLRnphtFwi2BkSjLTHXahhs8ubgVWSh9SOjSbtYhzubtW47XkTsNYDgwwU78Ti4Ag1f7TILhD8tsmJkdJSuzqjGy5pGFsFnAP39IrvMbsRi4po6MCBmHeColkAwQPlncwEh/XIVM+UCQicotn9Zp4ro6hCSHT5bfsY4qsFWuAPsAyhbpVZrMDQ0RFk8x3ifx1ajHzKOw5pzm3Dvsm8Asp+KHIZCZdVCqBsioW38r21jozcXWAWCmrq5kFxNgPR8AmSnUyHKWcM6pDGmfF/wUzdPCHW9uXGUAGFvgW2RE91FWeBGRBhg8EN+PrgFRXiXWYDWzQl2w2BrUAxeb7ERCMPyrAbCVyGfVgbhy83ZeOpbYAKDj9aU4Lfv9pmFwdtfl+DKfyttBkJDNEX2bfR097IOQsbi8/uGu4vWmd0Q3cXJYXbjqPr6hACAvj6RCwg/IbmKmXIBoRMU27+sU0X0AaFtURCORl846uxpjcjIi6GhIdodTc3t/Y0n0tTG2DhmPJF7l2Lx+HuXkkcXoDywyGEwVJz2g+qBt/VOoz9NHE6vuuYDSW0ixKcTINobzj6gMaz+qpSJYTA93G4Y5Mf7Q7A/hQikz/MDP9HKEdGUYHTlZo+MiCYlo7uwCF3ZeXiXXmg/CJLdwTTrR0VJvdyUbR0QbuawDni26FXMbjzyyjSBwYdeubi7vMosDDbMLMbvy8zHTdiiXwMuoettN+swZK36+8UAAIlEOunMbhz/bKLheybqgHay79+Np/v3n+Hzz7/A8uXeWLNmHcLCtiAtbSfS0zOQl1eEsrIqnD5dg7q66/j99wesnaermCkXEDpBsX1RmSqiCwilUuuiIEaHzDMFULZILJYZ9liIf3G2fzfSWun11n0eY+MYW0xtbDHiEf/zAMojKynoFv4Axa0IaJ5NnxgIG5aNHylxPQTiC0kQHkmEKNt5AuatlShrJfi50ROPi5akOQSEAxVphKFMeZx1I6KZsehMTibGQyMjwc3NBzc7F11ZBXgXneowDLaGJaLZL9V2IAzcaZ2hTGI+65BnjZpWJqI5ZjhSwggGHyzIwF/+5vcGDYYyASccBsI69wrc/O442v5sZR2IqICm0WY3I91Fes1uqJBQSMBuby91wPopA+HLl63IyspDdnYeUlLS4OW1BO7u7liyZBm8vVdiwYIf4O7uDnd3d2zcuBkCgQQ9PcznLrqKmXIBoRMU2xeVqSK6gNCaKAjjOARHoxr0ej1lLp/GIvP6dDrdsNGBfbuRdHweqXR845jxQdI2Z1bRh3YozoU4DIWqyvlQnFgH1f3V4wKh+jcfy5ESN+IgOrsdwpJNrIMZWxoo32YV0DmyP8iP94fowE6IMldi8HDGxJESRTvAjYoCNzQUnVnZ6EhMRkdOPt5lFqM1MMZxGAyIRst262ImRqvZN9V5DGUC0g2REqP1KHSso+ho/RF0hhIgrHOvwNXPDqD51FPWgW8iDQyQ0GR7F41OsxsqJBINAgD4fOpe81MGQoGAyBsUCCT488/HiIqKRWlpOd69+wgeT4SuLgGqq4/C3z8Id+7ch0DAjiOpq5gpFxA6QbF9QZkq6u+nB2jG60CZhsxT09XT6fQWA+PtkUgkhUZDmNsYv64h0J1mICQ+j2UgNB6xtef17XJmFfRBdn0nJVCorFwA+Y0IaJ5+bh4I7642EymxEINXUiA8zGEdyNhW7x7rcgV5GVEOAWHv/lTCUKaUYzlSIjEAvbsLwQ0NRVdSMrpzctCVmobO7Dy842RRAoKtAdFoi89Ck4/tMNjkzUHTqiSrgPAtZ3IbyryMKMBj7xyzMPg45NCEMNgwsxi/rbHNYdQaPUj/BT0fJtdeobGEQhKaqB/7tNXsRqlUG7qLQuEg+vqEDp2XWCzF0NAQZZ+Hz+9n/b7EUZGAV1l5CH5+AYbjJCgKBBKkp2cgPj5xzHGm5CpmygWETlBsX1CmiugCQkvAYRrgTl1uILn3QcVrGZvbjD5/W3cjHfk85gCXgGnHR2xJZ1Z7ojok945BWfUDNd3C42ugurduLBD+uc4EBpU3/CCsSYeoKJB1GGNbwt0h4DEAgwQQpkGYtQr81A3m9wV3hKNr5w50RETgQ0EhOrZEEvuC+bvRtjmeMhhsDYzGm5gC+2BwWG/9Yyc2lAnewTr0mR0R9U7Ay6178XDhDvOdwYAy3J692yogvPXdEcqBsM69Ard9L6DzzQfW4c+cRCLiBpzp9x0xuxmkzexmcFAGvV7vAkIjkSOg+/ZVwMdnFbhc/pjnREbGIDk51eT5TMpVzJQLCJ2g2L6gTBXRBYTkX8Ck26W9u27WanRgvL1SqYgxVkvmNpby++gAwtGAK5cbw7RjI7aj//vYKvHL36A8tIwSKFRVzoeiPgKaZ1+OAOH99QYYlFyPgfBAHOsgNlkkqLAuV5C3ZwclQDiwJ8L8iGheMrjbtqEzIxMdCYnoiN2Kjuw8vEsroA4EDUYyuxyCwSZvDt5uSBh/XDQ8hXXwMwuDa5Pxd0SpWRB8uGAnHvkU484PZVbB4O3/7UHdv6mHQVI35hxF6523rAPgaFHdRaNKvb396O8XQSSSGMxuiO6idWY3fX0iSKVy6HS6SQeELS1chIaG48svv4SHhwd27MiyCF719T/Cy2sJPvvsMyxatBhXr94yefzQoeOYP38BZsyYAS+vJSaP//77A7i7u2PGjBkGrVu3HgKBBI8ePceKFT7YsGET6ut/wm+/3cP9+0+RmZmLJUuW4sqVGxAIJODzmXdVdRUz5QJCJyi2QWmqiC4gFApHohNsCZm3V2q1Fmq11u6fN+28WR5jHTe/j0JpNFpDxiE5vko1TJP/fez9eUVPG9RngymDQuXRlVD+6Q/d8/8H1QN/aOrmQnwhBaL89axD2GSRKH89eCkbrQNCBw1lCCBMR19ViplIiWx0JHDAzcxGR0gouDsz8D6rAG0RydTDYCgHrzdkOAyELSHJ4xvKJBeyDn9jRkQ3ZuLp+kKLMPjQMxt/rKq2CgYbZhbjrs9B2mCQ1JVpVfj7yCPWYctYg4NSSrtoTMlasxvS8IwKsxs+f4CSe4v16/0RGxuHri4BXrx4A09PL5SVVY55XmPjK0ybNh21tdfR0yNETU0dpk+fjtev2yEQSHDq1Hl8881s3L37AL29gzh37hL++9//4s2bdxAIJKiuPoL16/0tnsfly/Xw8VmJ+fMXYMUKH3z33ff45pvZOHLkJKv3Xq5iplxA6ATFNihNFfX10Qc1pBkLYH3IvP1ASATG2wU2Cus7b9aY5VAFhGq1ZtzxVWqA0PYdTuNur1zYD3ldImVQqKqcD/mVcMj/jIK4KoZ1AJtssiZqgh/vD158AHhpYY4DYVk6BGUjQMjbvgmdudnozMtHx5ZIdIRHoCO3EO8yitEaSC0IkmpPL3UYBpu8OXgbkTZ+hzB1chnKvIzehUdeWZZhcMFO3A+e2ETGxGE08CTtQEjqr6Qf8bGLzzpU8Xh9kEiIf/Bj+zyoFGl2QxrcWGt2Q3QXLZvdUAGEz5+/hpubmwHaBAIJampqMXfuvDHPzc8vRmBgsMmx4OBNKCraDYFAAi+vJTh69JTJ4/fuPTGMgW7bloCsrLxxz6erS4Bbt26jquowTp+uwfv3Pazfe7mKmXIBoRMU27+sU0V0ASHpgDk0NEQ5yJgT+Reh7WBjW+fNlrgGR2RsSmBvNuNEssfUhwDUUc6mA2JIfyunFAoVx9dDWBnPOoBNJomyV4Kfbd1eIC/HOhdSa4CQn7OFiJTIjkNnfgHhHhoSig5OEt7nFKA9LoMWEGwNiEZb7A40rUqkBAhbY7PGBcJ/4opYh8BmnwQ0+XDQHF2KhwvSx4XBR2G2wWDDzGLcDaTOYdQa/bLqPDpfdrEOT1KpHFotdWOVk0lKpQoqlXrM8d5esrs4sdlNRkYGQkNDkZGRiQMHDqK29joePGgEl8uz676iru46Zs3yMDn28OFzuLm54d27jybHQ0MjkJGRY3IsIyMHoaHh6OoSwN3dHcePn8G6desxa5YHVq9ei9u3/zA8d/FiT/j5BWDBgh/w9dffIDIyBq9etRkeb23twoULV3Dw4DFwuXy8e/fR5HG25CpmygWETlBs/7JOFVENhCLRiAPm0NAQpc6f40mpVEOnsz4fUCZT2DXGSsY10Am5hEnA0ITjq47K2qxDUqb7lWbO+/kNKKs9KYRCP/RWZkKYs4Z1GJsMGqiItxrkeKWOxU0YVJ5JjIgWZ4KbnUuAYEgouDm5eJ9djNYN22iDwdYAAtKogMEmbw7a4/IsA6F/DF75p7IOg81+aXhuIVLCxFF0UzUaZtkGgw0zi3F7JXMdQlLXZx9Byy9vWIUmmUwBjUbLOrzRIZVKDaVSZdPPjDa7OXr0GMLDw7F06VJ89tlncHNzM+irr76Cj88qpKbugLVunGfOXMCcOXNNjr148QZubm5jYMzfPwiFhSUmxwoKdsHfPwivX7fDzc0Nixd74tGjF/j4cQDV1UcwY8YMNDW9BY8ngr9/EPbuLcf79z1obe1CVFQMlixZBh5PhPb2D4iIiMKyZcvh7u6Ompo67N1bjjVr1uLevSes3nu5iplyAaETFNugNJVEFWBIJHLo9SMOmFQ6f04khUJlVWC8SER03wAYdvRskSPunNaIjLXQ6/U2dzxtB0LrshvF4pGYkIkAVdT+HIrj66gbHz3uj56iFPTvimAdyNhW726O9UBYbJ3xzETqKctGV0khOqKiCRiMikZHbhHat+fRCoKtAdFo215IGQw2eXPQMg4QtsfsZB0GX4bm4fHK3Alh8NH6Uvz67R6bYbBhZjGuzz7EOBDWuVfgyn+r8LzqPmvQRJq1sA1vdEit1kAuV1L4mgN4+7YDd+78hbNnL6KkZC/i4xMRH59odV7f5cv18PAw3yEcPa4ZEhKGzMxck2NEhzACra1dcHNzw7Fjp00eX7zYCwcPHjP73i0tnXBzc8OjR8+RnZ2HNWvW4Y8/HuK77+bj2rUf8fRpM5YtW47Nm0PHdCuZlKuYKRcQOkGxDUlTSVSE0xuHzJPjjVQ5f9oCUuM9hwRWvX7IbndNR905Lb+uFGr1SO4h0fGkFwh1uomBcMQQyIaYkI9dkF+MpgwKZccD8DEtGvy96axDGVsS7rF+H5DHCQQv2TrjmfH0MWMbuKmpI13BtHS8zylGW3gS7TDYumEbXm7KpBYIOYWWDWW2F7M3IuqdgJfRu/Fw4fgg+HDBTjxcXoDfPcvtgsFfv9vLCgwa689tN/CRy/xeoUKhNDtW6QzSaLSQyRSUvV5vr+OZfI2Nr+Dm5oa3bzsMx2pqasd0DQUCCfLyihAcvMnkWHDwJhQU7IJAIMHXX3+D6uqjJo8vXLgI1dVH8fJlKzIysk1iJV69aoObmxtevHiDOXPm4sqVmxAIJPj22zm4des2BAIJnj17idmzZ7M6OuoqZsoFhE5QbEPSVJIjQDheyLwjRi+2igQXS4+bA1Z7BTjmzjlaI6A6YhyjUKhsGoG1DwjNZx0a//cD7DQE6huA5s4e6qDwRCA+JoXjY0E6hPlTL4tQUG59x4+Xb30n0WxXMC4AH3bloSMmloDB0DB05BUQxjF0gyCp9D2UwmCTNwcticWTzlCmaU0y/o7YMzEILsvBs5ij+Cuyxi4YbJhZjD/WHGYdCOvcK/DzirPg/s1lFJqUShWUSucEQp1OB6lUPqmAUCCQYO1aX0RFxYLL5eHvv/+Bp6eXwSjGWE+fNmPatOmoqakzuIxOmzYdz569hEAgQVHRbnz99Te4f/8penqEqKo6jBkzPsfr1+348EGA2bNnIz09Ex8+9KG1tQshIWHw9w+CQCDBV199jd9/fwCBQIJZszzw55+PIBAQe4XTp09He3s3a/ddrmKmXEDoBMU2JE0l2QuEE4XMq1QaaLXMACGZDzj6uFgsG3HEtNFAxZKo3O2zBKrWjsA6Iq3WPBAaR3A40gnV6/VQNNZCeWARRVAYhI+JYehOjoGgNIF1SGNKogI/8JI32LA/mGE/DKZHoWtXMQGBIaHoiIvH+7witMXuYAwG26JS0bQmmXogTC6xCIRvYvIZh8FXGzLRGFA8Lgg+WVeMxugDeBx+HH/4VKNh1Tm7gfDPoFOswyCp+q8O4+2tV4xBk0qlhkJh257dpyLiHxJlkw4I377tQEREFDw8PPDVV18jMzMX5A7ijBkzcPbsRcNzb9z4BUuXLseMGZ/D09ML9fU/Gh7j88XYv/8AfvhhIWbMmAFv75UmpjIPHjQiICAIX345E19+ORNbt8ahvf0DBAIJYmPjsGVLNNrbuzFz5iw8f/4aHR09KCwswZIlS2HtTiQdchUz5QJCJyi2IWkqydYbfWtD5pkYexwBwrH5gOQYqU6no9QV1FYzlom+Q3OvZc0ILBVAOLr7R76vNREcVgGhQgXx24dQHllJDRSe3ICPnFB0R20Eb08GhNnObzjTV2XbPiCvIMkuGOwuygA3K8cwItqRmYV3OSVoDd7KXGcwIBpvEx0PoTent8l7zANhQAya1yUzCoOvI3fh8VLLkRJ/h1WgKfIAnviW4r7vYdyeVYzf1p7BLyvO2g2Ev/sz6zA6of5diWf77jECTdTv2U0eDQ0NQSyWUgiEzIe006VHj15gxQofrF3rC3d3dyQmpiAkJAyzZnmYACkbchUz5QJCJyi2LyRTSbZ0CEcgSz8hZDEx9kjKOB+QDHIHQIvLqbVmLJY0spdn+TucaASWCmk0WoOxjul3Zv9nM5bxjqLowzsozoVQM0J6JgQ9nDB0R21AT3YyhCXOazgjyl4FftYW62EwaQN4nEDbuoIpoejaVQRuYhIBghGR6MjfhfbkXEZBsDUgGm1JebTAYJM3B29TSs2Pi27NYG5E1CcBzVF7zEdKLMzAi6gDaAzei4cLdqIx4hh+m1uK27OKcX/tUVz+v0rcXnHebiBsWH6CfQg0oz+i6tHdwaMVmqjes5tMAgCRSOICQgu6e/cBUlLSEBoageXLV8DfPxDnzl1i/bxcxUy5gNAJiu1f1qkka4DQGBis3SmTy5XQ6+mFGlJkPiDxnvQEuRuDjj2gaepwOv7Py2TmR2CpBkK1WmN2h5Ga72nUSKqgD7LrGdREUpwOQXdCKLqjNuBjXBiElZmswxsdGqhIsK07WGRdcL3BOCY/DZ0FBUTIfEgouMnb8T6vBK2hHMZhsDUoFq/CcpgHwtRdzADh+lSzkRKPVuTheUw1Hq8qJI6tKMD9wCO4Pat4RD6ncPn/KnHrh1N2A+G1mQdYhz9L+mnJaXQ8e08bNGm1Oshk1O3ZTRb19vYP/z0x6AJCgQQ9PUK8ft0OgUCC3t5BE0fT9vZufPggMPyZz2f3c7qKmXIBoRMU2xeWqaSJgJAMI7cVGJjocpESi6WG/3foCnInZWn3bjzZ6nBqaSeSSpEhxUNDQ5SY7Vj7PUnuHYey6geHoVB6cjO640LQHbUB3VEbINidBZGTGc70ltgIhFbuD/YkbURXYS468/JHRkRzC/BuZxHzIEh2B9N30waDxMjoXvMjo9vpN5R5uTkHT0ZFSjxdX4LnUQfwyCvbJF/wzoJ9JjD455rDuPx/lbj8f5W4/q3tYfQNM4txdzH70DeR6mcdwptrzbSAE9XGK5NFAsEAAGBgQEwhEFoXLTEZdffuA3z33fcQCAizmrlz52HduvUIDt6ErVvjkJKSjuzsPBQV7cb585dZPVdXMVMuIHSCYvvCMpVkCQiNO1qWwsjZhhqhcMQEBaBu3HE8GY9aWiPSfMcW6CJHYOkCW7FYasiMlMvp+c7Gy6EUv7wD5aFlFEBhiAkUfkyJhWBPHOsgR4nKIm3eA+TlTRxe/zE7EZ07doC7YycBgjFb0VFQgraYNPZgMDwZzb6ptALhP8nmO4RvInPpGxH1TsDLqF0mkRLPQvajMawcD38w6hR65eDBpmOmXcFh/bLslAEIr848bJ+hjO8x1oHPKv27Ek9L7qKnR0ApOFFtvDJZ1NcnBAD09QldQCggMggvX74GgUCCv//+B4mJKUhM3I7w8C3w8wuAt/dKLF7shS+/nIkNG4ioC7aMZVzFTLmA0AmK7QvLVFJ//MUfNAAAIABJREFUv3kgITta9kYs0A01xrCl1eoAUJ8PaE7W5itaa74z3nfnqLGLOZEdX/J7o/N7Gg+cRR1voDgVSAEUhqJ722YDFHZHbwSvNAPC7NXsQ50DElal2waD20PAG68rmBCID0W56ExPx/9n772josjz9f+ju3t37/emvfd3N9zNwcGZMTBBTDPqjAlQxIiKWTEM5oAiICgiAmZHMCCCYAAkKzozYnbGrKhjDiMqEpqmc4Runt8fRTXddKrqruqC7nqf85w9Ww1d1c182nr1+/15nldLlhIwGBWNn2I349mUhZzB4LNJ8/F0FbvdwXuBy/F4hQUgnLIY90cvZwcGR6/AvTmbcXVgFK4OjcGdr1Jwc5J5xMT1yTtxwX+XRRi8ND7NAIN5nZKR/8FuBx1Gs7iHPRo6H1KIypdVjEFOU1MTpFLmjFfaiurrJc33S/U8ELYz8eWa4oHQDYrrxepJag2ETGX2SaUk1DDn8GkLtgAwFgdhS1TyFeVyFWXzHcvvnYKV947822q1DVCrtawDoS1wFotl0MjFaDge7jwUZs4xhcLQaaiMCYMwYTbnYOeQEiajJmwqPSBMirDeFYxehNcRq/F6fRxezZmLV3PmomJDEl6sWMcpCD6bNB/Pl63DvZHLWAfCR8vNXUafLV3HTndwUhRuTUzAtcANuDN/D66PjDcDwSuDY3At5ADKeiZZhMGyHon4xjfDBAjzOiXjdM9N9B1GJ7Yxh1EKOjUkEy+vvWQEcojPUuaMV9qKRCIpAKC2VsjI89XUCNs1EJ45cwmhoQsRGxuPxMQt2LlzN1JTM3D48DEUFZ3Et9+ew6VL13HtWrkhmoIr8eWa4oHQDYrrDxZPEgmExvlzTGT2kVDDZOSDSEQYrrTAVsueRiazBm1Jo7ENhBpNy5htW3nvjPMYSWhmOxbEFhCS/63p9U2Qy+SQn93lvNHMkfmoXNgKCpfMRs321dwDHk2J90XRHxfdssa8K7hkEioT1qFiwQK8jo0juoLLVuDVhi14NnMZ5zD4bPICPAplz1nUBAiXbjYHwohNzO8XnBOPm1O34M5XKbg61HK0xPXxW3Fp1G6rIFjWIxGXgtPNYDCvUzLK+m2nDYTf+qZzDniOqPiTvXiYV+405ACAWMyc8UpbkVhMgAVTz1dTI+T8fsQZ5ecfh7//MEyYEIyRI0cjICAQ/v7DMHSoLwYPHoIhQ4bC338Y+vTpi61bv4ZAwI+MunvxQOgGxfUHiydJKLQfMu8YhBBGL0w5V5q6dJqDhrNxEFSl0VjurBkDtaNjtmy8dy0Abfq3ZTsWxFon1VrWofROKdR7fJ2CQuXhUFQumGEKhaHTUJUQBVFcMOegRwkGY8eglkbUhAEI1y4whcGIeXgdHY2KZctQEb6agMF1cZwax5h1ByPYyRy0CISLksxHRlcyB4R3RyzD3fnbcWvGDqv5glcGrsH12Wk403ezTRgs65mEUwMPWATCM0OS6QGhTxKKuqdwDncO6/1duL7hLKreObavkA0nzrYiiUSOpqYmHgib9eaNAPfuPcGdOw/xww+3cObMJZw+fQGnT1/A8ePfIju7AKmp6diwIRHffHMWAgF3bqN8uaZ4IHSD4vqDxZMkk6kc2udGBeAAZvb1UXHpdDQOgq6IzpopSCmVGsYC3Yn3jhkgtBVzoVJpoNe7DggJoLedDyl+UQ5VepBTUCjL/AqVC6abQWHlqoUQbFnMOfDZk2wfvSD6mqXBqI4yBcjKjdFEVzA6Gq8WLMSrr+bj1cYteB4azjkEGjRrOe5PinQZED6cn2AGhA9D1jIDg2PDcXuq+f5Ak3iJUYn4fkKqbRAku4OTD1qEwbxOyTg7bC+9cVH/ZO6hjgFdmlUEUZUIYrEMQqGY8pgkG06cbUUymQJ6vZ5BIKzn/H6Eab15I8D581dw8eJVPHjwnPPrIcWXa4oHQjcorherJ6muTsbKPj+RiNzX5xwQUt3TaMvVkkkZgxSZz8g0UDsL08bdSmvPwXZOpPForfGIqF3IrXoDZe4CJ6Ew1DIUzp/R5g1nahPtO4W2lmAbETdRvSoEb9fHomL2bCJSIiQEr8Ij8DJ2M55NXsA9BBprNftGMsZ6MDfeFAhnLMP9UUudh8Ep63B9tPkeQZMR0Vl7cXbANkowWNYrCaX906wC4bmR++kZykxsn+OilvTt4ExIntQZ7hNI92a1WgOFQgWpVA6RSAKBoMV1k3TiFArFnAMc05LLldDpdDwQGqm2VmpQcvJeDBsWgIEDB8PX1w8BASOwceMmPHnyivPr5Ms1xQOhGxTXi9WTVFfHHjw5s6/PeN8bleegGwfhqEiQcjSfkaoAx2Da2kimtZ9j630iR2uNr4eySZFQBPm3iU5BoTRzPirnW4DC0GmoXLsSwoRZnMNfa4m204+aqFkajLrtMahNjMLb5cvxesECvIuLw6uQ2XiXtBU/hcVyD3+tR0UXR+PeKNfB4L3A5XgQst4ECJ8vj3M6UqJ8zmZcHRJjvSs4PA5XpqZRA0GyOzgl0yoM5nVKxrmxGbSA8OKU9mcoY0tFH+3Bo5xyiERSSKVyKBSqZoMs4os549LpdGhoaDR8ltLtLrZ1KRQqNDQ08kBoJHIENDPzKAYM+BJLl65AVlY20tMPITY2Ht7e3oiJWY9377h9rXy5pnggdIPi+kPF08QWFDi6r4+ECJ1OR9lYRaulFgfhrMhrAxzLZ6QqYwMYKiK7lYD1kUxjKRRqAOzlRKrVWuj1Tc3X41j3VHI1B+qUwU5A4UJUzrcAhKHTULl0Dmq3hXMOgcYS7KQ/Llq1fAreJmwguoIrV6FiRRgqlizF68QdeD5jKefwZ0mPFm10KQzeC1yOH6fFtDKUcTyQvnzkCtyfn2y7KzgtGeeH7qQFg2f6bMKJPvttA2FQJi0gPBfUviInqOpqTBmqKmvNoKa2th5CoRgSiQxyuRIaDTFhotfrTe4x9Hq9SXdRIpGjvl4CJiMc2JZSqYZW28AgEIo4vxdxVqRJzOjRY7FuXZzZ46Wlp/HFF1/i4sWrEAhknLmq8uWa4oHQDYrrDxVPk7Vwemel0+lo7eujCzXGohIH4aykUoXhxoLtiAs63dWWPZbUu5UKhQoAO0AolSrQ1ERkHTrTPa2rE0Nw/yJU+0c6DIWSzIWWgZA0nElcA1HcRM5hUJwwBdUrJtODwZWz8HpNFCpCQvB6XSxezfsKr2Ji8SJyI+fQZ7U7uDrB5TB4L3A57gdHmQDhk+VJjsHgxEjcmmJjv+DQtbg66wDKfKiDoKE7ODXLJgzmdUrGuYmHaAHhqYFpnMMbWzoTfAxvnlTahByRiMjqq60VoqZGiLo6EYjuogIKhcowyWDcXSS/jNRotFAq1ZDJFBCLpairE6Ompu10F9VqDTQaLQ+ERiKB0NfXD5mZRw3Hq6paXlufPn1x4cIVCAQ8ELp78UDoBsX1h4qniS0gpLOvjxjBpAc1xrLm/smUWrqWBBCy1RkkRbW7SjrE0s2NlMtVrLwO0mBHp9M77WIqFIpRVSVAzcvHUBye5TgUHlxkEworwxdBsHkRp0BYl7KaHgxGhuL1ypWomDOH2C849yvCOGbeKs6hz6pmLMGP09ZwA4RB4SZA+GD6Gvr7BWcl4HpgnPWu4MQduBiQQhsEy3ok4sxnW1Dsk0oBCI9QhsGy3ptQ+CH34MaWSgcfRMaMs6h8a94pJCUWE1l9VECutrYe9fUSQ3dRpdJAq22w2V2Uy5WcdRc1Gi3Uag0PhBaUm1uIWbNm4+zZy4ZjVVUiZGYexfjxEzk3mOHLNcUDoRsU1x8mnia2gNBeOLkxzAHkCKZjLp1s5eq17lrKZEoAcPg6qUqnsw2EYrHcsG/GkbFcpl+H8fukUmkYcTE1cQZ8WwlZcZQTULjYNhQuaDacWTva9d3B2DGojppNGQbfrVuGiiVLULFoMSoi1+BV2Er8tG4znk1uA9BnSxFbOIHBe4HLcW/UipZx0dlhtPcL3g3djquDoy3HSQyKxvXZB3Cm9yaHYJDoDh6yC4N5nZJxduJRykB4YcQezqGNLX0zOgc7Pj2OyE+PI3XVFauQI5Ewk9Vn3F2UyRRQKq13F8kvQpVKFWQyBUQiKerqRIx3F7XaBiiVasaer7aWm0w+JkV2/CZMCEbnzp3x+ef9EBq6AJGRMVi0aAk6d+6MBQsWY//+g8jOLkBh4QmT7qGrxJdrigdCNyiuP1Q8TWxBjb0xTtPsPudGMNmIUbA0ikmCFFvOrKRsjduShjY6nd7h8PqW1+E8EFp6n5RKJoDQPDtMfD4V6uSBDkLhEttQGDoN79atgnDjTJcCoTB5BXUY3BCBitBQvI6IxKslS/FqfQKeL4nmHvbs6KdFUbg/diV3QBi4HE8mLSIMZVbGUx8RHbMKt+dYzxa8NnYTLo/b6zAIlvVIxNn+W1H08V5KQHhmQjZ1h9FJBzkHN8b1YQpKxxRgT79TCOuQgwXvFWDkL7Nw7fQLK0DIbFafNQkEpt1FtVqDhoZGK93FBqhUZHdR5nB3saGhEQqFigdCC9q0aRvi45OwfPlKzJgxC2PHBiEwcBRGjhyNzz/vh08/7QFvb2907twZb98KXH59fLmmeCB0g+L6w8TTxFaHUKNpsDrGSY46MpXdx7RrprW4C6lUAQAOgxhVWRu3Ja/LWUMbqZQZsLU2ssrE38MSEFZX16HuzndQ7RvuEBSKM5bahcLKpXNdajhTs3ExJRisTFhLjIiuj8OrRYvx04ateDZ9MeewR0XPw1wbM2ERCKcvp2Uoc2/qWtwM3mx9RDQkFWc/3+IUDJb1IJxAqcBgXqdklI2j3iG8ONm9HEZLeu1HweB8HOhfirAOOQjrkIPgXx9FQMdMzHm/AG9e1Zh9VpD7vtkGQlsiuotiiMVkd1ENjYaYaLHVXST+jbHeXdTpdJDLlW0OCJ8+rUBIyBx88skn8PHxQVTUWqtduJKSU/Dz80f37t0xZMhQFBWdNHl83750fPnlQHh7e8PPz9/k8deva7F06Qr06OGDjz/+GIsWLUVFRQ2la3z3rh4VFdV4+vQ1J/dcfLmmeCB0g+IakDxNbAGhpTFOiURuGLNhMrtPoWAGCI2vz5Kpi0TCTGi8PbWO0TCO4WDC0MZZsLWXwcgmEFZX16H22T0oD05mDwpDp6EqaQ1E68ezCoOiHfMpweDbjbGomDcPr2PX41VkNF6sjucc8qjqVWQi5zB4L3A5ns5eRRjKLE2wD4PzNuP68PWWu4KBG3F9eobTIFjWIxHnvtyOwu57KAPh6THUgfDM6EzOIY4plfoewuFPspHeqxCr/iUXYR1yEPHveQjomGnQ16GXzD4nZDIFo1l9bKiluyiHQmG7u6jVNkClUkMuJ6YyFAoVamuZ2btYWyth5H5iwoRgLFy4BG/eCFBe/gi+vn7YsSPZ7Odu336Arl27IT//OKqqRMjOLkC3bt3w8OELCAREdETv3n1w4cIV1NZKceTIMXTp0gWPHr2EQCDD0qUrEBw8BS9evMXTpxUYP34iwsOjIBAQsJiRcRg7diRj794DOHw4F8XFp1BWdgnXrt3h/J6LL9cUD4RuUFwvVk8TW0DYeoxToVAZDEekUmaBijRJceY5SKi0FXchFrsOCMn9ly3vG/UYDnuSSBwHQiqupkzEWtgCwurqOlS/eQ15/nLHoDB9GSUorFy9GHWbF7AGhILtq2ybxyybgjdxsahYthwV4RH4KX4zns0J4xzyKGvqIjyeE8s5DN4LXI6n8yLxdOJ8/DhptfUR0RHLcXfBLlwdZKUrOGM3zg/awQgMlvVIxMXJhynDYF6nZHwbSN1UpvTzVM5BjgmdGpuHtL9nIu3DHKz573xDdzDuHyUmQDji55m4WPTU5DNCLleisbFtA6Et1dQIIRSKIRbLDN1FrbbBSnexERqNFgqFClKpHC3dRdcB4Z07D+Hl5WWANoFAhuzsfPTr19/sZzdsSMTkyVNNjk2dOgMJCZshEMjg5+ePtLRMk8cvX76BiooavHkjwIcffmhiGnP+/BV069YNT5++xooVq+Dj44OAgBEYPHgIvvjiS/Tr1x89e/aEv/8wCAQtmYVciC/XFA+EblBcA5KniS0gJLtEYjGxnxAAa+HxcrnjJimm12fbFVUsJj7M5XL6ofF0pNU2QKsluoRUrouuHO10UnU1ZSLWggBCge0bmapaSE7vcAgKRenLqUHhghmo3rYGorWjmDWTSZyK6uXWoyaqwmbidXQ0XkfH4NWqCLxcu4l7wKOrSO5HRUk9W7QWz0MjrLuIjo/E7dk7LY+I+sXi6owDjIFgWY9EnBu8EwUf7qYFhKf8qMVOnPl8K+cg56wKu+7GyaAi7PtdOlL/eggb/l5sgMGwDjlI/PikCRAGdMzEjL8dw6sX1YbPB6bD29uKamrqAABSKeFwKpXKoVCojLqLLbAIADqdaXdRLCZcnJ8+fYl372oZA8KCguPo0cPH5NjVq3fg5eWFly/fmRwPCZmL6OhYk2PR0bEICZmDN28E6Ny5M9LTDyEoaAJ69PDBmDHjUFZ2EQKBDD/8cAteXl6oqKg2/G5FRTW8vLyQl1cMb29vHDiQhe+/v4GzZy/j22/PoaTkG+TkFKKwsJTzey6+XFM8ELpBcb1YPU1CITtQQ3aJiG5SE6sQ5ahJSku3i/r1AYBCwS4QkuOYTU3svG90O532RkRbi4mOLSUgbJby/jfQ7PGjD4UHKEJh6DS8iw2HcON0xoCwLtlG1MSaULwOD8fruA34ad0GPF8UxT3c0dTzeatwPyiccxAk9WLZBlSs2WIRBn+cnYCbEzdZ7gpO/hoX/HcxCoNlPRJxPpj63kFSpYOoBdNfHL2Pc6BzRiV9DqDQvxD7fpOBfb87iG0flZrAYFiHHCT2PmUGhAEdM7Fp6rmWzwWGw9vbimprhc2frxKbP2PcXVSpWrqLAFBaWgovLy9069YN/v7+mDkzBFFRa5GSkoqiopO4ceMebcOVQ4dy8Pnn/UyOlZc/gpeXl1nUQ3DwFGzcuMnkWHx8EoKDp+Dhwxfw8vLC0KG+uHatHO/e1WPPnv3w9vbGvXtPUFZ2CV5eXiZdvqoqEby8vLBnzwEMHDiI8/sqW+LLNcUDoRsU14vV08QWEJJdN7oZeY7IkT1xjmb40QmNd0RkZ7WpqYkRwx1LotPpdCT4viXn0PHrtzsyaiSFQgVt1SOoDoyjD4VpKyhDYeWyeRBsW+V8d3D9WFRHhliGwXXL8Hb1aryKXY+f4rbg2dRFnMOdI3qychPnEGgyMrp0A56tNgXCe4HL8HBZMq4PizWHwSExuDXvIMp6JjEPg367kP9+Cm0gPP5ZOjWH0Sntd/9g6bCjONozh4DB32Rg9+enzGAwrEMONvSxDIQBHTNx+shDVFfXQaViNry9rUggqAcACIViJ55HgOPHS7F37z7ExKzF9OmzMGTIUHTt2hVeXl7w8vJC586dkZ1dQPleIi+vBD4+ljuEP/1UZXJ81qzZiIlZb3KM6BDOxbNnb+Dl5YUDB7JMHh861A979x7A99/faO4QtpjIkB3C7747j/XrN2LHjmS8fPkOb9/W4d27elRViVBdLeYsjN5YfLmmeCB0g+J6sXqamAZCYwMUgP3MPuKc1Dtezhrb6PVNUCqZM8RpgbSWLL/GRp1Vh1amBNgHQkehmYmcQ3pASOwVqnn1AvKc+bShsJ4OFIZOQ9WmNRDFOm44I0wOsxwrEReOt2vW4O3GBLxYFcc51DncHVyxnnMANAPC5RvxeFFL5ET56JW4uyjZYlfwxoSt+H7sPsZB0DAuOoF+dzCvUzKKe6RSyyCc1D4dRr8JKkR6p0MGGEwbcNIiDIZ1yEHkpyesAuGUP+TgxeMqqNUaRsPb24rq6kQAgLo6ESPPV1MjNIBSTY0EDx++wOnTF3DoUA6ePHlF+V7i9u0H8PLyMvmd7Ox8s66hQCBDXFwCpk6dYXJs6tQZiI9PgkAgQ69evbFnT5rJ44MHD8GePWmGPYTnz18xPHb+/BV06dIFr15VYcOGRHTu3Bnjx0/E3LlfYenSFYiOjsW6dRvMnEy5EF+uKR4I3aC4XqyeJiaBkOxuEZbYRJeI7cw+EqYA+0Aolxsb2zh2XXq97dB4R9S6C6dWa6DTMZur2FqA9dFXuiOill4P8bd37ssAqjc0JuYR76ohPbmRPhSm0oPCyoglEG6e71jURPwi81iJjdF4HbsebxK24kV7Mo5prSkL8HBe2wPCJ2FJ+HH8KqIzODkat2eZ5wteGbgG12en4UzfzazB4IXhKcjrTB8G8zolo6DLHmqmMoHtK4OwsPselI4vQervMwwwmN67GKt+kWsVCBd2LrQKhAEdM7F+zGloNFqoVO4HhPX1kuZ7JWYcRmtqhIzdT4wbNx6hoQtRUVGNu3cfw9fXz2AUY6ybN++ja9duyM4uMLiMdu3aDbdu/QiBQIaEhM3o1as3fvjhJqqqREhJSYW390cGF9JFi5ZgwoRgPH36Gk+fvsaECcFYsmQ5iotPYciQoZgyZTqWLQvDjBkhGD9+IkaMGIlPPvkUa9fGQSCQcRJIT4ov1xQPhG5QXAOSp6mujhkgI7tbZKC6M06WjgKOrY5Xi0GLc8Y2Op3eami8I7LUhWvt0MqGrI2+OjIi2lpM5RxSveGRy5Vm9vL1PxyBOmUwTSgMoweFC2YShjMx1A1n6ncuNI+VSFiPio2JeBmTxD3QOdsdjGxbo6KGDmHUTqI7GLoZ18clmMdJjEzE9xNTWQNBg7PoxKMOwSCp73yS7AJhSc+9nEMeVZX0y0BRQJEBBPf9JgMHuuYi6tf5VmEwrEMOJv1Ptk0gDOiYifNHX0CpVHMOcExLJJICAGprzfMJuQbCJ09eYe7cUPj4+KBnz16IiVmP6moi49Db2xuHD+cafvbEie8wbFgAvL0/gq+vH0pKThkeq6mRYOfO3Rg0aDC8vb0RGDjKYCojEBAjoitWhKN37z749NMeWLx4GV6/rsW6dXEYOzbIxHDGWPzIqOcUD4RuUFwvVk+Ts0Aol6ssAoSrIhpIAbCY0SeVKqDT6Zsz/Jw3aLEWGk9XtrpwSqUGer3zuYq2ZAkIHR0RtfSeA87nHAKWAptbLNXJGxoib8w8gLrux0tQ7R9FCwqF+2hCYeg0vFu/GvXx0ygBYe22lS1Ooksn401iPF4lbMHzhZGcw5zTmr0C94NXcw5/lvQo8mvcW5aCa75rzUdEZ+3D2QHbWIfBS6P2Iu+9XU4BYVm/bTZh8OyXOziHPKo6GZCD7M/yTGBw/18PI+6vxTZhMOLfjtmFwYCOmQj+TQ4qXzIzVtmWRO4BZ+r5amrqOb8PcVakwcyWLTuwalUk59djS3y5pnggdIPierF6mpwBQo1GCwDQahssAgTAfkQDFcBpbNQxZtDSOjTeEREQ3QS93nImIxPB7vZkPPrq7IhoazGVcyiREHs+5XKlDUt1nWFPqEymQEv+FvHtec3Lx1AcnkUZCNXJAyHcSx8KK5d/BcG2MNtB9EnTUb1sUnOsxHS8TkogjGOmLOQe5hjQ0/AtnIOfJd2dEIHyxbvMu4LD4nBlahrrIGjQqCynYDCvUzLODUm27TA6bj/noGdP+e8n4+T4Ihx8/4gJDO77/UFs8TZ3FG2t9X8roQSEAR0zETPsNOcAx7QkEjmampp4IDQS2fm7dOk6ZsyYhbi4BFy6dB3Xr99FefkjPHz4Ak+evOJ0VJQUX64pHgjdoLherJ4mR4DQtOtm3XETsNy1a2+AYyzj0HhHpFYbQ7Tln2Eix8+edDri/WJiRLS1mMo5tBaqTFqqSyREBmVDQwOamgjANi69vjl/SyaBqnQtPSjcQ3NPocFwJhqi9UE2oyaqVs/B681b8CIslnOIY0rPl8bg3kju4c8EBEcsx71ZG3Fz6mbzOIlpyTg/dKfLYPDimH1Ow2Bep2RcCNhnEwh/mH6Yc+CzpaJP9qF0wnHs/+NBUxj8TQZSPrPsKGoWOfGReQahLeVtv8M5xDEpmUwBvd58IsKTgZAcS42LS0Dnzp3x/vvvY/DgIRg5cjTGj59o2EtIGtFwOTrKl2uKB0I3KK4/WDxRdMLp6XTd2I5oaA04arXWpPvGxriqVtuAhoZGhyCJ7GTZe0+YyPGz/361dNaYjgahC4RiscwwImoM8GSXz56k0pZvzGtqhKirE0MslrbK39Kj8fZRaFIGUYbCuhQHOoWh01AZuRTCTaGmURNxQahePRNVMYvwKmk7ns1axjnEMabJ8/FoQTznAGis8hFhuDtnK64HxpnC4NC1uDrrAMp8XNQVbNbpEZmMAOG5wP02gfD7admcQ581Hf8iE8WBJWYgaM9RlGoGoTWN+88jeHDzDecgx5RMTLQYAULuu2bOqLZWagBC0h01Pf0QtmzZgbVr4xAWFo6FC5dg9OixuHTpmuF3uLpevlxTPBC6QXH94eKJogKEjsQ1sOHIaU2NjTpD6K6t7puz0mga0NhIDwgVCpXBfZXKGCUTOX62AUxuyDpk4+9DZ/8o2W22BPBUgZDqCFVNTR1E989AvW84NShMGQTRnlWOQeHCmajZFmUwnBGmrMS79SvxMjqRe4BjujsYkcg5ABp3Be+MWYPyOdtxdXC0aVcweDsujkhxKQiW9UjEpaD9jMBgXqdknBtjO4vwO/8MzsHPkk6OPIbcAfkWYfBAn2Ks/Ll1R1GzDMK+9IAwoGMmVnx2AlVVAs5hjgkpFCo0NDTyQNhOxZdrigdCNyiuF6snyh4QtgCN5T1v1qTT6Rh15LQFFSTgsD2iqlZraWUEOuJuykSOn63n1uuJcV9nRl9tiWrwPblXsrFRZ/G1UgdCeiYLtc/uQXlwMrUR0pRBkOxd7RgUhk7Duw0RqI+fhrdb4/E8dDXn8Ma4Zi7Fj5OjOAfBe4HLUR6wHLfGrsPt2TtbxUlE4/rsAzhx2VeSAAAgAElEQVTTe5PLYbCsRyK+9T/IHBAGZVoHwh6JKP54N+fwZ6IPknEyqBhZ3bMtw2C3Y4j8zzzKMBjWIQdRPaxnENrSobgbnMMcEyKnHnggJBQdvc6QNRgXl4CtW3di9+5UHDx4BMeOFeHEie9w7tz3uHz5Br+H0IOKB0I3KK4XqyfK1o29Vut4XAPhDskOdLSGCjYBx1hqtZZSRqAz7qZMxTa0lkqlAQA0NDQyYo5jS4BtICT/u7L1hQFVIHTIde/Na8jyV1DsFA5G3deO7SmsDJ2GyrD5eP5VO84WtKWItmEkc3t4OG6Ni8PNSVtMjWPGJOHyOPZC5u12ByccYAwG8zol49yEQ1aB8NzQr7kHQCMV+6TiRNBxpP0l0yIM7v/7Yaz/cxEtGAzrkINFdjIIrWnM/zuE8suvOAc6Z6VWa6DRaBl7vtpaMef3IM5owYLFGD9+IsaPn4jRo8dixIiRGD48AP7+w+Dn5w9fXz/4+w9H//4D8OzZG86vly/XFA+EblBcL1ZPlKUOYYvZSJPDTqHOGrDYUuvsQ0f39jkCVfYyAo07X464mzob22DtvSL2L2pY/9uIRNaD741B2d5/V9SBkMjlovrzBlXVQly2kzIUCnYudxgKa5I2cA9vDOv5wijcG72C867gzeFRuDNtC66PMN0veD0kFWf7beUMBst8EnFqcDqzQDjxiFUgvDThAOcQSOqU71GcHHcS+36bbhEG9/3+ILZ0O0EbBsM65GDy/9rPILSmRZ8W411l+x4d1Wi0UKk0PBA268WLSjx69BLl5Y9w7dodXLhwBd9+ew4lJaeQm1uIzMyj2LcvHVu37uQ7hB5UPBC6QXG9WD1RrYGQdMJ01myELUiz5Iyp0dAb5XRUtiIhxGI5tNoWSHX0HC2xDc6b4hi/V8bPxzZAWxrfJUePqYIyVcAjg5ppA2GzhDeKod7jZx8Kdw9B7XbHofD1mvWcQxyTerwkgduuoN9K3PCPwp2FKbg62Mg4ZkQ8fpi8nzsQJLuDkzIYhcG8Tsk4O/GodSCcksU5CBZ03oVTYwpRMLTYMgiSGnDaIRhc/a/UMghtaX/4Vc6hzhlptQ1QKtU8ELZT8eWa4oHQDYrrxeqJIoFQIlFQdsKkIjYgzRqsEqOc7AOhQmEZCJmMb6BjymL7vSJGRLVac7B3BRAa/zfUspeSOijTBcLaWseAsLq6DoLHN6BMD6IAhUNRu81BKAxfjGfTF3MOcox0B8M3ctsV9IvAjWHRuDPPNF/w+ozdODdwO+cwWNYzCScHMDsumtcpGWcmWAfCcxMOcQuDXVJQOq4Yhz/JtQmD6QO/cQgGwzrkYP1fi50GwpG/zML1shecg52jamxshEKhYhAIJZzfg3iS+HJN8UDoBsX1YvVE1de3dL6oOmFShTemIM0erFIZ5WRCljICW+fnOXsOEggdHdUVi+1HXBBuqewBtF5PnFsikUOn0zm0l5Iq4NXXSwAAtbX1Tt0Y1VS8hDxnPjUo3LrMISh8syGOc5hzWtMW48cZMdx0Bf1X4sbQSNyalIgbEze1wKBfLK7OOMA9CJLdwcnMGckYqyzIOhB+MySdu/2CvdJQMroEB/5xyCoI7v/TQWT4ncTKnzkGg2EdcrDl02+dBsKAjpmY92EB3lTUcA53jkin00EuV/JA2E7Fl2uKB0I3KK4XqyeK7Lox7QjKFKSRXTlbsKpUqqHXWx7lZFItkRCme/OYjm8AHANCuVxpyGG0BfZ03VLpigyFJ/9ujhjkUAU8EggFAueAsLq6DtXvqiE9udE+FO7xRe1mB6BwwQy8XBbFPdQ5o0jXG8mUByzHzaGrcX1wBO7MT8Y1/3UtXcHJX+OC/y7OIZDUmd6bcOKzNFaA8PQYK0DYMwmFXZM5gcETQ4+geORxpP7OMgim/uEgjvmXIKXvKSR98a3DMBjWIQebP/uOESAM6JiJXQsucw53joj8bOeBsH2KL9cUD4RuUFwvVk+UWKxgJcTd1n47KjJ1ObUNq9ZGOZkWGQkhl6sM4MXGewdYNmWxJRLsiRFR+z/L5ohtU1NT87U4blxDFQiFQnHzZ4eIsZuk+h+OQp0y2A4U+qFm01L6UBi9Cs8mtwGwc0DPQ1fj3tiVHHQFI3B9aBTKF+/F1UFRRJzE4BhcCzmAsp5JnEOgSXdwCjMh9Jb0baBlU5nzw1M4gcHSUQXIG1pkxTgmA3m+JTg0oATxfy5C9H/kIeQvx5wCQkcyCK1pxM8z8f2J55wDHl01NTVBIpExCITchbR7ovhyTfFA6AbF9WL1RAmF7ECBpfFKOuBFx+XUmXPRERkJARCwYw+8nAEqqvs4qYyItpZKpaEUn0FXEknLtTQ0OOdiShcI6+qYA8Lq6joIfrwM1f5RdqDQHzVJS+gbzKxvn66jT1YkubgrGI4bQyJwc3ScSb7g9aCtuDRqD+fwZ9Yd7LsZJT1TWQPCb/wtx05cCnZtIH1h9904PqoYR3sdswyCQ4uR2TUbaQNOIuJfchHeIQebep/CxP/OdgoI1ziYQWhNc94rhEpOfDlGmrXIZAqIxVLU1YkdNqpiSzU1dQAAsVjKA2E7FV+uKR4I3aC4XqyeKLaA0Hi8ks7vObInr+VczIe5G8OOTqcDAMZHRFuL2INn/xzkiKhOZ3tE1NJ7zPSeS+Nr0el0To8gUwXCujoRAOaBsLq6DjUvH0NxeJZtKNzrj5oEmlC4ZA6eh67kHPDoqCLCda6it/1X4saQCFwfHIHbM7fielBic8j8GlwP2Y8zfTdzDn8Wu4NTs1iDwbxOyTg5yHIw/cUprjOUKf4sHUUjSpDhdcQUBH+bgWNDipHVPQf7/3kEOz8pRXiHHIMWexVi7L8edgoIF79fxCgQBnTMxPaQS5DLlVCpNGhoaIBerze5J9Hr9WhoaIBKpYFcroREIoNQKHZ6z7Jj8FYPAKivl/BA2E7Fl2uKB0I3KK4XqyeKLSAkxyupZvEZd5foAhfdc9EVGZmg0xE3C2yMiRpLr9fbfQ9aRkTpdyqZ3nPZ4mhKXEtjo+uBUCgUs3MjVvkOspI1NqFQtXcYajbSg8K366M5hzzKmrIQD+fEurQreH1wBMoX7cY13xgiZH5kIr6fmMo59FnT2X5bUfTpXlaB8Pjn6RaB8OzYTNfsF/TPRlFACfb/30ETGDw2qAiHPibcRTN6FSH2t4UmMLjxveMI7JiFwI5ZWNHR8S7h1N/kMA6EAR0zUZb9qFUnToi6OjHEYilkMgWUSjW02gbDF4JkETE6jVCrtVAoVJBK5aivl4DJ8XVjCQTMftbV1Ag5v//wNPHlmuKB0A2K68XqiaqrYwdqyIB1KoYixsDliMsp02HuxmqJTGhgLBLCnnQ6PdRqy0BoDM6OxoM4u7+TlGnofcu1NDbqaEVMWBJVIGT6JsmaRBfSoE4eaAMKh6M6fjEtKHwVHcs97FHQ88jNrMPgnWErcGPIatwYEoEbftEoX7SnZUR05l6cHbCNc+izpYtTDrEKg3mdklHcY79FIDw5YD+rIJjfeRdOjCpEvp9pvmDul4U43KN5bPR3B5Ha/xRW/yzHBAbDO+QgrvdJAxCu+lWuQzAY/qtjGMECDAZ0zMSUP+Ti5ZMqWmAmEkkglcqhUKiaTboaDXunARgMtTQabatRVJHDo6h1dcyOx/NA6Hrx5ZrigdANiuvF6oliCwipBqwbAxfb56IjqVQBnU5vFpkAOB4JQVXWOmykmY2j4ExKoVADcG7PpbXQe5FIhoaGRqf+niIRHSBkfozK6g1Z+Wmo9gVYh8J9AajesIg6FIYtwLNZSzgHPpuaE4b7E1azBoJ3RyzHLb9m45jBEbg9IQF3ZhH7Ba8Nj8OVaW0nTsJqd/CLbSj0Zrc7mNcpGQVd95jBYFnfLSj4gMX9gh/tRXFAEXI+zzeAYM6AAhzplWf4/wc6Z2NrlxNmIBjeIQdR/3oMwf911ACEq3+d5xAQxv7F+QxCW4obV8bIZ0RtbT3q6yWQSGRGo6iNFkdRtVp6o6iMOirzQMiJ+HJN8UDoBsX1YvVEsQWE9rpp1oCLjXPRFdlBa2zUmY2hAvQdQOnKUofNmRHR1nLWhMfePs+GhkanHEZFIupAyMa+Gpvne3YPyswpNqBwBKrXU4fCNxvadpfw6Sr2uoPlActx0zfcAIP35n2NG2M24urANbgzay8u+SdzDnttpTtI6rseSSZAeGHkXtZgsGTAQRT6FSGzy1Hs+00GsvsV4GiffJMuYcZnJYj5db5FGAzvkIPNPU8ZYDCwYxYif1fgEBAmdC9lFQgDOmaiNO0+q58dNTVCCIXURlEbGhqhVmtMRlElEuLfOabMbmpq6hm5h3j6tAIhIXPwySefwMfHB1FRa1FVJbL4syUlp+Dn54/u3btjyJChKCo6aXispkYCb29vdO/eHd7e3ga9fl0LgUCG7Ox8fPDBByaPLVq0hPN7KDriyzXFA6EbFNeL1VPFFtgAlrtpJFBYAi6mz0VHRNRFIwDruYzOjGpSlTFQMTEi2lqkCQ/994da9qJW2witttGpa6QOhMLm1+IaIKyurkP1m9eQ5a+wDoWpgaiOpQiF86fj5cq2uZ/w+bJ1uDdyGTswOHwFbg5dbYDB8kV7cHVwNK4OXYursw6gzId70KOic4N2oKDrbpcB4enPt5k6jE4+yAoMlgYcQ+GwYqT96SCOfpaP7M8LWuULZmLv56esgiCpFV2KTYAw+i+FDgFhUm/mIiesaeL/ZuPp/UrXfY60Ul2dCCKR1DCKqtGYj6ICMBtFFYkcG0VlCggnTAjGwoVL8OaNAOXlj+Dr64cdO5LNfu727Qfo2rUb8vOPo6pKhOzsAnTr1g0PH76AQCDDtWt30KVLF7x7Z/m6YmLWY+nSFZzfLzkjvlxTPBC6QXG9WD1V9fXsgA3R/WuBGLbD3I3PRVemURfWO41UHUCdEQFUDYyNiLaWXE6Y8NBxZZVKFYYRUXudWK22AQ0NjgOhUCiBQFCP2lohampIETcxVVUCVFUJTL51BwCRiDkrdkqqqoW4bKcNKByJ6nULqUFh1Ao8m7qQcwA00eT5eBS6gRUYvOW/EjeHRuD60EjcGB6D8vm7ib2CE7fj4ogUziGPji5Mcl13MK9TMs4M2mXqMDqZWYfR/PeTcXxkIQqGleBonzzk9C8wi5Y40C0XSe+V2IXBDX81hcHAjlmI+WexQ0AY34d9IAzomIkov284A0Jbqq2tN+y1l8uVUKvtjaKq7Y6iMgGEd+48hJeXFx49emk4lp2dj379+pv97IYNiZg8earJsalTZyAhYTMEAhkyMg4jMHCU1XONHz8Re/akcX6/5Iz4ck3xQOgGxfVi9VSxBYQEPKmbIYTdMHdnOmh0oi6oOIA6K2KMiPiH3tnRS0ui68raMkJLLQpEo3EcCIVCCerqRKirq2/+X0ICQT0EAiFqa1tUUyM07KsRiaRmsOgKCW+UQL3HzzIU7h+FqrULqGUTbmhb2YTPI5jPHCRHRG/6R+L60AjcmpiAm1O24srAaFwPOYAzvTdxDnh0dH7o18j/MMWlQHjW33Qf4ZlRzDmMFn2yD4W+hSgMPIHcLwotBs6n9z+BNf92zC4MhnfIwcY+p8yAcO0HJQ4BYbQPsxmEtpS/o5xzALQkmYz4Us4c7MhRVBlkMgVUKuujqDExMZg7dy5iY9cjNTUNx49/i9u3H1jtytlTQcFx9OjhY3Ls6tU78PLywsuX70yOh4TMRXR0rMmx6OhYhITMgUAgw6pVkfD19UNg4Cj07NkTQUETcPbsZQgE5DjpR5g2bQb69euPzz77HCtWhOPFi0rO75/oiC/XFA+EblBcL1ZPFVtAqNMR8KTRMLf/jUlQc6RjyUTGni1JJHLo9XpWR1OlUhIIbXcdiRFawvSHzmvWaBrQ2KijdU319VIIhWITCLQnuVzZDPINqKsTmcBiS3eRuGliExYFj29CmT7eChSORlX0fPtQuGgWXi4K5xwEn02aj2ezluP+pEhWRkRvjYnF9cERuDN3J64HxuHamCRcDtrHOdw5BIQTXdsdzOuUjLOBpk6jJ/ruYwQGjw/MQt7AAhwbXGQRBFP/nIWU3vZHRElF/Esupv5vjjkQdjvhEBAu/aDQZUAY9F9H8ODWG84BsLXkciUaG3W0f894FHXv3n2YMWMmBg8ejA8//BBeXl7w8vLC+++/jwEDvkBw8BRs2/Y15XuHQ4dy8Pnn/UyOlZc/gpeXFx48eG5yPDh4CjZu3GRyLD4+CcHBUyAQEHC4bFkYHj58gbdvBdixIwXe3h/h7t3HePLkFYKCJiA9/RDevBHg/v1nmDAhGNOnz+T8/omO+HJN8UDoBsX1YvVUsQU3Op0Oen2T2egoO+eyHtVgSUSQOrURSGMxEalg/ZqIkSByfyVb7xWVmA7S9IcYoaW3N5PY+0L9+oVCCYRCEQQC6jBIZh+qVGqbP0d0FutZh8WaipeQ58y3CIXK/WNQtSbULhS+i43iHgYnzcez1VtYGRG9M30zrg+JbN4vuAbXQ1Jxtt9WzsHOEV0avhv577sWBvM6JePcmJYswjP9tzGzXzAwHwXDipH21yzLXcFP8hH/l2LKMBjeIQebPj1pBoOBHbOw7iPHgHDqb9nJILSmsH6lLp82sCeFQoWGhkbGnq+yUoC7dx/j5MkypKZmYN26OMyZMw/h4VGU7x3y8krg42O5Q/jTT1Umx2fNmo2YmPUmx4gO4Vyrzz90qB/27Nlv8bGLF6+ic+fOqKio5vweiqr4ck3xQOgGxfVi9VSx0SEkxwz1+iZKWYTOik4YeotjJ7URSGMxEalg+5oaoFZrodOxB4QtMR2W/y4KhXWXVaqvher1kzDYekTUmurrJQaTHalUTqujSB8WBQZgpHST9a4aklMJlqEwbSyqoihAYXwCt6Oii9bg3qgVzI6IDo1A+dyduBGwDre/SsbVEfH4YUoa51DnjC4GH3U5DOZ1Ssa5oMyW/YNjU52DwQ9T8M24UhSPKsW+36VbhMEDA04i4pe5tGAwvEMOwr2PWwbCHqX0Mwh/mctaBqEtHY6/yTkEGoscBWXq+WprxU7fO9y+/QBeXl548uSV4Vh2dr5Z11AgkCEuLgFTp84wOTZ16gzExycZHv/++xsmj3/55UCkp2fhypXbiI2NR22t1PBYWdklfPDBB6isbD/xGXy5pnggdIPierF6qpgEQnIMEwB0Oj0re+AcBTUmHDuZiFSwdk1kF1Wl0kCn07P2XpH25ZY6oy25kI53QdVq+9dPjIhKaAGcVCqHXk92T+n9rithsf6HbKhTBluAwiBURX5lGwjD5uP5nOWcAeHjRRsZGhFdjptDI3DTLxLlc3fg9qQk3Ji0Gddn7Ma5QTs4BzpndGHEbuR5uR4G8zol49yEQy0Oo1Mc3z9Y1HM/igOKUTLipEUQTPvHYez89CR9EOyQg/V/KMLIn5nDYGDHLKzreZJ+BuGf2c0gtKYx/+8Qyr9/xTkIklKrNVCrtW0KCAUCGcaNG4/Q0IWoqKjG3buP4evrZzCKMdbNm/fRtWs3ZGcXGFxGu3bthlu3foRAQHQQg4Im4PHjn1BZKURS0lb07NkLL168xYMHz+Ht7Y3t23ehqkqE+/efYfTosVi+fCXn9090xJdrigdCNyiuF6uniikgNA4rl8mUTrtNMglqpEObs46dTL4mckS09TWpVBro9ewBoaXcRolEAZ1O1+xi51x8hz2gJfcL0hkRVSrVAAhQJTqK3IkKLAp+vAzV/lHmUHhgPKoi5tmEwrcb1nHTHVydwAgM3m4eEb0duBZ3Q7ajfN4uXBu5EVdntv2QeSo6MyaLExjM65SMcxOPGIDw/CTHHEZPDDmMopElyO6dZxEGM3oWYv3vCh2CwfAOOUjs+41FGAzsmIV1vekDoSsyCK1p0acleFfZNkZHNRotVCpNmwPCJ09eYe7cUPj4+KBnz16IiVmP6mriub29vXH4cK7hZ0+c+A7DhgXA2/sj+Pr6oaTklOGxFy/eYunSFejVqze8vb0xceIkXLly2/D4d9+dx5gx4/DRRx+jZ89eiIyMxtu3dZzfP9ERX64pHgjdoLherJ4qJoCQHHk0duqku5fMGdkCtZaul/OdPUcMUyw/T8uIaOvHyHFb9oDQNLexBZZ1jIz32gJaYkRUTHlEVCgUQ6ttaO6gKjkFQTrAWFsrhODVEyiOhFiAwgl4F24bCn9avda1QDh9CX6cFs3YiOjtcXG4O3Mr7i/eh+uTv8aFYbs4BzkmdGlMKmcwmNcpGRen5LaYyoygn0FYOiofJeNKkdH5iDkM/u4gUvufxOqfOzAi2qzVP8vBzN/nWgXCtX3pA2FiL9dETlhTWsRVzmGwuroOWm0DlEo1g0Ao4fzew9PEl2uKB0I3KK4Xq6dKKHT85l8iUVgdwyT2krHX6WoNWK1BjTRGIWDCua6X8WtyBggtjYi2FrmHj833CyCAkARTJvdFKpVq6PXm128tUsKaxGJps7GNHmKxjHPQc0jV1ZAfjzGHwvRgvFtlAwpXL8GzaYtcB4QRzhnJlA9fjpu+EYR5zKQE3J62BfcX7MGNORko65nEOcgxpbOjuesO5nVKxsXJxwxAeNxnL2UQLOy6GyfGFqN4zAns/7+D5iOiXtnY2u2EwyBoMJPxLrUKg4EdsxDjABDG9+UWCEf96hBunHnJORA2NjZCoVDxQNiOxZdrigdCNyiuF6unylEgJMFFp9NZHMNke/SxNagZG5m0ZOc5Zoxi/TyO7++zNiJq/r6qAIB1IGyBZWYdYFt3OB0ZEW2JlGhEfT29OIq2KMnldKhTBplCYcYkvFs11yoUvomPc82o6PwI3BsT5tyIaDMMlk/fjDtzduDG7GRcCUrlHOCY1JWJ6ZzCYF6nZJQFZeP0p4k4N2gn9UiJz9JxasIplASWWnYR7VuCtf+d7zQMhnfIQdSnJ2wC4RoHgDC6J3cjo6TmdSnE29e1nAKhTqeDTKZgEAilnN53eKL4ck3xQOgGxfVi9VTRBULjfDpb5iNsjz4ai4RPR7Pz6J6H7u/R6cTJ5QQQspXZSIKpXu/cfkprMu5wshkp0d4kun8W6n0BraBwMqpWWoHCBTPxclkk60D4eFmi4yOifqsJ85ihEbg7exvKF+7G9TlpONN3M+cAx3h3cORhzoHw9NijhMNoUBolGDw5LAel404if2CxebbgHzKRPrCMERAM75CDdf9bgFG/OGQTCKP60ncZXfphEedAGNAxE8mLLnMKhMTntZwHwnYsvlxTPBC6QXG9WD1VdICwxTjGvvmIKzpdpJRKDfT6JsrX5vh56EEulRFRS+8xANqRGFRE7vVkM/ie/LtzGSnRViX86QGUmVNMR0izpuNd2BzLUBgTjmeTWewOrox3AgYjWmAw9GvcWZKK74PdqytI6tKEA5zDYF6nZHwXSJjKXJqaZX+/4NhCFPgXI6t7tnlXsFsutrxfyhgMhnfIQVLfUzZhMLBjFiL60AfCab9zbQahNY34eSYuH3/GGRACgEQi44GwHYsv1xQPhG5QXC9WT1VdHbUbfZVKYxjjowIrbHe6jEUaj1C9NsdhhzoQOmrWQgIhk6OuYrEcjY2NBhDU6/VQqTSsvEdyOXH9Go0WSqUKMpkCYrG02UzGMii5MlKCc1VVQlm00gQKFQen4d2K2ZZHR9dvYAcIpy7Cg1lrHRsR9Ys0wOC9xSm4uTgd577Yxjm4saVvhmZwDoN5nZLxzTAiduLcBOtAWNh9D06MP4ECP8th8+n9T2DNv+cxCoPhHXIw7y/5doEwvBe9YPpV/5KLET/jHgZJzfpHHipeVrscBmtqhM3/lkoZez4eCF0vvlxTPBC6QXG9WD1V9oDQuMtFByLYABtLoNPQQIAOwH43kmrX0xmzFqnUdnA8XRnHgZDPqdOxA4T19VLU14uhUmnQ0NAAnU5vssb1en1zZmQLLJIjom0hUsIVkskU0Ot10Hy/rxUUTse7ZSHmULh0Lp6HhjHfHYyiZyRTHrAct/xbRkRvDo3AvWX7cHVm+w6Zt9sdDOZ+7yCpk4OIYPpvfdMtwmBxv3QUjyxBwbAS7Putadh86p+ykNL7FOMgGN4hB1s/sh41YawwH3pAuO6PbWNc1FhbZp53ORDW1tYDAOrrJYwBIdf3HZ4ovlxTPBC6QXG9WD1VtoDQmfw+psHGFuioVARUsNkdFImMu56Wz2Oc5+eos6lEwtz7Zq2rq9PpGd9jaWtEVCSSQiqVQ6FQQq0mYFGvtw+L9jqL7U0qFZGnqFJpUFcngvj2Caj3+BlB4QzLUBjHbAzF83mrcD8onN6I6LCWruBN3wjcXZGG80N3cg5srKpnEk5+2TbGRfM6JeNEv3Sc9klCkXeK+YhoQC6O9c9H3pAis67ggY/zsfGvxazAYHiHHKzradtdlNSqXqfoZRB2495Qxmx09GeZOJv7yKVAKBCIAABCoZgHwnYsvlxTPBC6QXG9WD1Zlm7wnc3vk0jMA9CZUuvcQ1d0I0Ui211PpvL8mHjfjDunljqBjY06xoCQcBGlN+ZpHCkhlSpMYFGrtdRZbEJjY/uFRaFQjIYGYqxZJlOYPFb/7DZU6eNboDBzFiqXzjKDworo9cxB4crN1EdEh4Xhpn9UCwwOj8athQdQ5tMGgI3t7uDkg5xDoLGKffbjvF+yCQjmv5+M0qAiHO2ZiyM+x8xhcMBJRP7S8WxBe4r5r3yM+9fDlIBw6UfHaQHhpt7fcA6AljT1j7l4+aTKZUAoFIoBAHV1IoaAsJ7zew5PFF+uKR4I3aC4XqyeLONweqby+8RiAmzkcuaA0Hh81dgUhe1uZMt5SCA0PY+z8GzpfXMUCI07p9aeo7FRZ9Mhlh4MOhop0WA3UkIkkrR7WDTNU5RaBsbKCihyFxpBYQgql7SCwlUL8WzmEqdh8MWK9dRHRIdHGCIlbg6NwO2QXeD1/NgAACAASURBVLgcsAPXQjI4hzXW1SsJpf3SOIdAYxV03YNLE1vGRYs+3oeSUSXI7ZeP9PcOm4Dg/r8fxtc9TrIGgqQ29bFvJkNqwYdFtIBwyxdlnMOfNW0IOuMyIKyvlzTfI9XzQNiOxZdrigdCNyiuF6sniwRCcsSQqfw+AIw5ftrK8WsZs2S+G2kKhKbgycSIKJPvm1JJzfiHGM10Dl6JEVExqLqI1tWJDJ1dJiIljGFRpaIDizKXwaJMpqCep1hbB9m3SUZQOBuVS2aaQOFbZ7MJpyzEw3lx1GAwYI0BBG+Njcf1Gak41zse53rH4+KQLTj7+RbuoY1FXZ6SyTkAWtKFKYShzPEvM5H72TEU+BWbhc2n9yxE3P8Vsg6D4R1ysPCfBZSBcJ5XAS0gjGkDGYS2dDL9R5cAoUgkBQDU1Ah5IGzH4ss1xQOhGxTXi9WTZW/E0FExFXxurwPnbFeNqozHOZkaEbUGhHQA0zR/0f7fr6GhEVqt40DYMiJKDQZFItdGSliGRZ3BfAhA8xcf7MEiuV9QrdbQ+j3JtVyodw+BJvlLyDPnoHKxERTOn46fwtY43h2MtD8qenv4KtwaTsDgDd9I3PoqFRe+3GSAQVLu3CU802cTjvdJ5Rz+LOlM0CGUBh5D1vuHke9nmi+497cZ2D/gFFb/nL0RUWMldD5OGQYDO2Yh5G95tIBwWZe2ZypjrODfZOPpj5WsA6FYTPybwNTz1dSIOL/n8ETx5ZrigdANiuvF6smyN2LoqPT6JiiVjgMmMb5qvwNH/oPJVv5gy3kIIGxoaAQARsYuLYkOSJMjvkT+IrW/n1bbAK22kfZ1OTIi2tYiJejDotoAi3a7fHWm+wXlcoVj1/joClRpowkozJprCoVrwvBsygL6RjKzV+B+cITNruDtkVG46UuYx9yath0/jEs2A0FSFwZtxtl+7tklvDQli3PwsyivFBwfXYhMr0PI6ZdvAoNpXkexrTuz2YL2tL73SVpAOP2PubSAcMbv20YGoS2tGfYt60AolcrR1NTEA2E7F1+uKR4I3aC4XqyeLKlUyUpeoDPxBmQIPDG+ar8DB9DrqjkicjSV6RFRS0BIJTje9D2iPuKr1TagoYEeEJIuonRgUKkkumTtJVKChEW5XAmVSk0ZFiUSAhZFIvv7BalK+Po5lEdmN0PhPFQunNGSTbghnn6HcLX1mInygOW4PWotAYKB63BjThrO9d1oFQbduUt45rMtKO6xj3v4a6WCj1NRMCgXR3vkIquradh8et8SrP2ffJfC4Jp/z8P4fz9CCwgn/X/ZtDIIA3+exTnwUVHB1+WsAqFMRnzpxwNh+xZfrikeCN2guF6snixjUxkm5Yibpen4I/XfpQpRjooMpQfA6nlEIhml4HhH3iNSGk0DGhupA6GtSAn7XTIl56DHFCxKJPZhsampCVqtOSw6dN7qashPrIUm+UvIskJRuWA6AYWLQ/ByYTj1UdGla3FvpGUYvDMyHLcCYwjTmLl7cNF3q10QNOwlHLQZ577czjnEMdsdPMQ5/LVWSf9MZPscRd6gQqT9JbMlW/D/MrGv3ymEd3QdCJLa3Iu6mQypoP840q4zCK1p/K+P4vmP1RAImHEBbS25XInGRh1jz1dbK+b8nsMTxZdrigdCNyiuF6sniy0gpGteIpWSDplNtMc/qUCUo2rZw6hlHTxFItudVWMjG0dHZDUabfMIp+2fczZSQiyWcQ5yrpBaTeRgNjQ02uks6ix2Fu09v+RyOtQpgyDLmt8ChbHU9xI+XhhvsSt4Z2wMbvpF4lZwEq5O3ksZBI11ffZBziGOKZ3tvxVFH+/lHABJHftnMo775yCzc5ZZ2Hxalxxs6nzc5SBIaun7RbSBcNQvDlEGwo1d27ahjNno6JDThi+EdDqdyd5kkYiYFqipcQzgFAoVGhoaeSBs5+LLNcUDoRsU14vVk8UWEGq11M1LWhxObTtk2oIoKoYqdGS8h5GEL2f3RVJ7LZY7q6SRjbMusGq1FjqdbSB0NlKircQ+sCmhUAyt1nYntL5eAolERmEMtQUW5XJzWBTdPwv1vgDIshYYoLBirX3X0RcRSZZhcHwcbvivwa15+3G+X6JDMHiudzxhOPPlNs5hjpHu4NTDnEOgAQbfS0HJiHxkvJeJY4NMw+bT+53Amn/P4wwG4/9RQhsGSa38BTUgTOp1inPIo6ucpDtGa12DhoZG6PWmzsc6nR5abQNUKrVJRI4tB1Hyc4MHwvYtvlxTPBC6QXG9WD1ZQiFbQGh/rxpTDqdMhq0T8GV5f54z+yLpvJbWhjUaDRHZwETWoUqlgU6nt/q4I5ES5PUxESnRHkTsF9Q51QmlDYtVL6A+NA3yQ4tQOX8aKleE4vnsZdaBcOZS/DhljSkMjo3E7dHrcHvWLlwO3OkwCLrbXsJzA3egsPsezkEwr1My8rvvR9GwAhzqfgSHjcLmU/+Yhd19TnEGggYgpJE92Fqr/5Oa0+jGvu0PCMf822Hc/aHCwp49IYRCMcTi1mu9dUyOHg0NDVCpNJDLlZBICNdjtVoDtVrLIBBKnL5nePq0AiEhc/DJJ5/Ax8cHUVFrUVVleW9iSckp+Pn5o3v37hgyZCiKik4aHqupkcDb2xvdu3eHt7e3Qa9f19I+T1sXX64pHgjdoLherJ4stoDQ3mgilRB16hDlfLYeKXJ/niUXUWvdOyZlPGorkcgNkQ1MGdmoVBro9ZaB0NFICb3eNZESbUEymZx6vqCDsgaLeo0cDaURUB1dhsr501CdZN1g5nnkVgMI3h2xHHcnx+HW2A24PjOVERAkdX5AEs4NbN97CS9OaRvdwYLemSgYUkCEzXdqCZtP/ygPG/9WzDkMRv4yF5N/ne0wEEb+Jp9aBmGv9jUySmqJTwneVQpoGLwIDV8wyWQKKJUta924yM8btZqERTnq6yVwJKyeCSCcMCEYCxcuwZs3ApSXP4Kvrx927Eg2+7nbtx+ga9duyM8/jqoqEbKzC9CtWzc8fPgCAoEM167dQZcuXfDuneVsRKrnaQ/iyzXFA6EbFNeL1ZPFFhCq1dY7UWRIub0QdToQ5Uy2nkjUEuFga3+epe4dG0Co1TZALiezDvWQSpnLOlQqNdDrm0yOuUOkhCtEOqfSzRdkFBaFIigupEB+eCkq50/D66hYMxj8aUk07o0JI7qCI8Nwd1oibs9LxYWBmxmFQXfoEp4f8jUKPtzNKQjm/iMZBf2PIqc5bD719y0jogcGlCLyV8c4h8HwDjnY7ON4dzCwYxai/lhICQiXdy3mHO4cVXrUNca6eXV1IjQ2Ev8eKBQqw5eslpyP1WotFAoVpFISFi2b3DgLhHfuPISXlxcePXppOJadnY9+/fqb/eyGDYmYPHmqybGpU2cgIWEzBAIZMjIOIzBwlNPnaQ/iyzXFA6EbFNeL1ZPFFhBa6kQZd7yYNGdxJErBWNZGRC3BGlOdSFuvhRwnchZyLQMh8VrJ/0/XRbSuriV4XaPRcg5prhCV/YKulvhOKSSHwlAZuRTPpi0yhcLlxN7B+5PW4t7sXbgW7JhpDOUuYf9EnBvUPruEFyZx2x089l4K8gfk4uin2SgwCpvf/7fD2OVzknMINNbKbo7vHwzsmIXovxdTAsKZf8jlHOwc1ahfHcLNsy8Zg8LGxkYoFEqz4wJBPerryVxVFdRqDRobG81g8f79+5g9ezYiIiKRnLwbeXnFuHr1jmEsk64KCo6jRw8fk2NXr96Bl5cXXr58Z3I8JGQuoqNjTY5FR8ciJGQOBAIZVq2KhK+vHwIDR6Fnz54ICpqAs2cv0z5PexBfrikeCN2guF6snqy6OnbApjV4sNXxEomoO2daAzCAWoQDE51IWxKL5dDr9ay6mZLwS8IgARieGylhT8b7BSWStuWcWv/sDsRHYvA2fkOLkUz4RmJEdM5m3AhJpZQp6Kldwgt+u5D/fgp3MNg1Dflf5OHopznI+bzAAIMZPQsR94cizgHQWHF/KsJIJ2AwsGMWYrxK7MLgyp+3nwxCa/qqayHevq5lBAh1Oj1kMgXNsdB6w9j5o0ePsXDhQgQGBuKjjz6Cl5eXQX369EVQ0AQsWxaG+/efUrpfOHQoB59/3s/kWHn5I3h5eeHBg+cmx4ODp2Djxk0mx+LjkxAcPAUCAQGHy5aF4eHDF3j7VoAdO1Lg7f0R7t59TOs87UF8uaZ4IHSD4nqxerLYAkKFQgUABmAD2Ol4iUTUnDNbi8qIqCV4dKYTaUvEnsomQ6eSLegk/y50nUDFYiLeQ6dzPni9vUgqlRtGsurr2+ZYrLCyAsLcrXi5JALPpi3GjyGxuLNwLy75bXMJCBq6hP0ScX7ITs4hj47OT+SwO/hpJgoG5yOn7zFkdT2Kfb/JwN7fZiDti1OI+EUu5wDYWgl9nRsXDeyYhbUfHrcLhGv/0H4yCG0pZfH3jAAhuT+bieeqqhLg8eOfcPbsZWRmHkVCwmYsWLAYQUETcOHCFUr3C3l5JfDxsdy5++mnKpPjs2bNRkzMepNjRIdwrtXnHzrUD3v27Kd1nvYgvlxTPBC6QXG9WD1ZbAGhXE6ABwldTJmiWJI958zWIruXdCMciFB35mFNpSKy7LRaYi8Im0AolSoAtLjaqdUaw94TMjOrtTwtUqKurm3sF6Ss2jpUFx3F44iduDqF3fFQW7o5J5NzyKOqiwG7kefFzX7B3B6HUehXhIIhRUj7MxE2n/beUWz3LuUc/Cwp4he5mP7bHKeBcJ33CfsOo11OcA5zTCjwF1n4/sQzpyEOACQSGSNAWFMjdPp+4fbtB/Dy8sKTJ68Mx7Kz8826eQKBDHFxCZg6dYbJsalTZyA+Psnw+Pff3zB5/MsvByI9PYvWedqD+HJN8UDoBsX1YvVksQWEpHGMTqeDRMLsiKg54JkbpVgTnRFRS6+JSVgzjt0g8w1tmfE4K3K/oPG+E2t5WSQsNjY2AgBUqnYARgyoLe4XpKonOVdwvn8SZ0B4vl8iLvrv4hz2qOhckOu7gzn/TMHRjw6jYGghCocfN4TNZ/Qtwbr/LeAc/Kxp08cnnYbBwI5ZWPdJqf0Mwp7tL3LCmmb9Mw8VP9U4BXAAIBJJ2wwQCgQyjBs3HqGhC1FRUY27dx/D19fPYBRjrJs376Nr127Izi4wuIx27doNt279CIGA6CAGBU3A48c/obJSiKSkrejZsxdevHhL6zztQXy5pnggdIPierF6upgMpxeLW6ALAOP7BS0Doel+RUtyZETUHAiZgzVrsRu2YiEcFeEianvkkcjKIu3PVdBqtWhqajIxKQCMw5U1UCiUzZ3FtjlOSVcikaTN7hekqjc3nuH70cmcQeG1Wemcw549XRq1F3nv7XItDH6QhiPdDyPvywLkDW4Om//9QaT2/wbhHbmHPluK/PgEM0DoYx8I22MGoS1tDbngMMDV1tYDAOrrJW0KCJ88eYW5c0Ph4+ODnj17ISZmPaqricB7b29vHD6ca/jZEye+w7BhAfD2/gi+vn4oKTlleOzFi7dYunQFevXqDW9vb0ycOAlXrtymdJ72Jr5cUzwQukFxvVg9XUwBIQlden2TYa+asxmDVGS8X9EWMNIdEW0tpmBNpdIYsqVax24olWrK3U7qMEg/UqJlL6PEDBYJEx9zRzudTtcMi2pDXlZ7gcX2sF+QqmoqqnFr6VFuoPCzBFzw/5pz6LOlC0FHXAaCx/6ZjOzuB3H0k6M49mUBjnyaS8RJfJiDzR+c4Bz27Cn2d4UY9fNDzABhr5P29xD2Osk5xDGpET/LxLljjx0COIFABIDY780MEFrO++PFvvhyTfFA6AbF9WL1dDEBhCTkkNAlFssBAHI5+0BI7ldsDVfG3UomAuWpdCJtSSwmnEoBYgSTjXMYixgRFcORSAm1mlqkBAGLMkOwMnVYlLUZ8FIqif9+3C1G49G+szj3WYLLofDqzAOcQ581XZlwwKX7BY90zcKx/nkoGFqI9H8SYfMZ/U8g+j/yOIc9SuOin33LCAwGdszC2j72gXBFO84gtKZpf8rFy6dVtAFOKBQDAOrqLGcK8kDYfsSXa4oHQjcorherp8sZ6DDeB9cacgCwaiZDSiZTAoBJ98+4W+noiGhrGUc20FXL9ehtdk3tdTvpwCABBtxFStTXiyGRtIZF82BlrmDReL+gQtG+9gtSVcX5B7jkv921UNh3Iy4Ma5t7Cc8EZrkEBrP/uQeHOmehcFgRCoeXIPX3GUj9Uxb2fHaKc8ijrI45mP3HY4wBYUxf+0A464/tN4PQluInnKENcPX1EgBAbW09D4TtXHy5pnggdIPierF6uhztEFrbB0eKzTy91rAFwGBew9SIKFOwZnw9rbuYrUV2Ox29RkdGRLmIlCBhUS5XQKWyDouNjTpotdpmWFQwBovusF+QqqqeVeL67AzXdglntL0u4ZVJGS6BwaPvp+Hg3zJQHFCCAv8S7PtNBtI/ykPiP0q4hzw63cHuzJjJGIDws1N2MwhH/kv7ziC0pW8OPqAFcCKRFABQUyNkCAhFnN9reKr4ck3xQOgGxfVi9XQ5AoSki6ilfXCk9Hq91dFIJiWREEAolSoYHRG1Bmv2oM5YdK9HLlfSPgcp0kWUDgwqFESkhFbbdiIlyFBluVwJlUoNrbYBOp1lWNRotFAq1ZDJSFi0/xrcab8gVYmEYjz7+oxLu4QXR6RwDoHGOu2fyfqIaE63g8j4ewaKAkqQ81k+AYMDTiLqX49xDnh0FeNTyigQRtsBwrX/5x4ZhNYU/NtsPHtQSRngJBICJJiAQR4IuRVfrikeCN2guF6sni46QCiRyA2dHHvdP51OD7WafSAk9ysS3UrmRkRby9JoqjU56mpK5xyWYJD6iKgIGg0B9UqlmnNgYR4WG01gUSyWQSgUu+1+QVuSyeQGE6OXJ27jwqDNrukSTk/jHAJJXQ5OZx8GPz6ErC6HUBRQgswPj2L/3w4huWc7GhE10tr/KcCYXx5mFAij7IyMJnQp5Rza2NTiL0rw/Cl1ICS/uOKBsP2LL9cUD4RuUFwvVk8XVSCUy1XNe770lOIkGht1rHTqWos0QtHp9IyOiFqCPAB2cxUVCpXDI6tUz0GKHBGl1S0SSdDYqINe3wSpVM45sDAlkUgCiURuFxZ1On0zLKqaYZH+e9heRAKwWt2SI1l57xWuBLsgwL5PPC6NbANdQp9EnBrCHhDmvLcbeX1ycKzvMRwfVYq0P2cio2chNvyxiHOwc1SbGTSTIRXRx3bsxCY3yiA00c8PYuYX+UhPu04L4GQy4ktFpoCwtrZ9Rja4g/hyTfFA6AbF9WL1dAmF9sGD7CZptQ2U4aahoREaDfWfp6vWmYdsG9iQsGYLhjUa4no0GsdAmMo5WsOgo5ESHjMuabRfUKVSQ6XSNMOi3uRzSK837iy2f1jUaLRWDXNqKwUoX1PAfpdw2n7OgfDy5IPsweAHacjvn4div2KcGH0S+357EJlDTiPiF7mcQ50z+v/ZO/Owpu707V8vra3t1E73TtfpNgEUiAJREHCvonXfqeJSq60zOu2v1upowX1v3bdaRQEVRBYRtVotrbZqW9dSd1GpKMshJCEhQCB4v38czklCEshylizf57rua6YhSALnwPmc53nue/KbGZwD4RcdmgbCJRHfiQ9vHGvw35MxtNNuDOy7y26A02i0qKvTEyD0AJESpggQekCJfbJ6u5oCQpWqku2yVFbaZxCj09VBp6vjDc4MLqJaQQxsVCp6NNWSgY7xKK0zYNrU1zCWc5ESNZwAhzuookLTAHrWAVihUKGiQoPKSi2qq2tQW2sJFutRW1uH6uoal4fF8nIV6urqbOoAX991Ej92Wspvl3DgRvGAsP0yHOzMfXeQyRfc23kv9vXPxp5umdj6zm6sbntQdJhzVstacxNE31jTQvc3CYRzwzwrg/D9f6aie0gCXnr+K1y4UGA3wGm1VaitreMQCFWiX2t4q0gJUwQIPaDEPlm9XdaAkIlZ0Ov1No8wNu6W1dZyD4SWXDuFMLCxlq1oGKV17Ptk6Ws0BYSGSAlbAUHJRoNwFSnhDjLeF6T3K+2XQlHRAItVLCzW11uHxcrKKlRUaKBQVDj8NZ2RUlnR4Birh0Jh23Fy99fr+GXgOv66hLHidQl/Hs29kcyet9YjpW0y0rulI3twDnYG78H28H2Y91yG6DDHheaHcesuyujTdtlNu4wGZYsOcVzpg3Z7Eey7Ea1aLsFXy487BHDM2DsBQvcXKWGKAKEHlNgnq7erMRAaj2I6OvqoUNBOpHV1eg6BjO46AjAzq9HrhXE0BWBiEsO4rdozStvce2z8NRi5S6SE2GIMc5huLV9fwxwW62yGRT5ek1pd2WAeY79jbMmdYpz5ZBdvUHhi8GbBYfBY2HLkRGzldkT0nY3Y3XYn0rtnYP+QA0j41y582/kQZviID3JcKK7VXgx7fBcvQDg1cF+TQPjha2migxwXmtg1A2+9shqtWi5Bl8gEFBdTKC4uQ1ERhaIiymaAq66uQXV1DQFCDxApYYoAoQeU2Cert8sYCLkMdK+qqoFeX88JKFVUVDaZeSiUgQ0AVFZWNxoR5XZUFTAHQkdGRF0xUoJvGQxzxMsXlMuVUCpthcXaBljUOgWLWq3z48AUVY4rm35AbsfFnAPhqdFbhO8OxnIbQr+nzVbslu5CRs9MZA8+gG1tUvFV6xzRIY5LfRX+HS8w2N8nCZP9Mq13Bx9KxcBHk0WHOWfUv2USPojOwItPr0Crlkvw7JPLcPrULVBUOSiqHKWlchOVlMhRUlJmFRZrauj8Ve6AsEL0aw1vFSlhigChB5TYJ6u3q6yMhg6ttobTQHettgb19c4DoeF1Wc88pDPp+DOwYfTgwQNUV+tQX2+726qj0GkMg/RFuyOREvx0yFxRtuwLii0GFtXqSmi1Vaiu1lmERb2+HjpdY1g0f09yuQI6nY7TceA7P/yJE9ErOYfCn4cK1yU81nEFsjts4WxfcE/bHdgt3YWsPvuQ0Tsb26NyEPdkuugAx7X+K8niDQgnvp1hPYPwxUzRgc4ZDX1hF0ZFp+Gpx5eiVcslaNVyCb6c9X2z55o1WCwtLYder4dWW2V3Z5EAoeuJlDBFgNADSuyT1dsll2vYHTMuxy6ZXT9HP1+ppF8XgGZfV21tHWdjm80BIUCPiCqV/H0NrbbaoRFRT42UaE6Vlc7vC4qtxrBYU6NjzWGYYnZVGVhkuvlqdSWnr6XoWiF+/WAbt13C978RsDuYzNm+YGrwTuzpkIrsAfuREpmOTZHfiQ5ufGiZH7dB9I01/vW9HplBONpvDwZ03cWCYKuWSxAStBn375c5/HuAuUmkUKia6CwaRlEJELq2SAlTBAg9oMQ+Wb1d5eUa6PWWRzGdEXOR7sjnqtXaJkdEG0un48fApjGcMgHffEJnfT29+yaXK0AiJZq7eDJ0Q/naF3QF0bCoZmFRp6vFgwcPLGQs0rBYVVUNjUYLlUrt8LFAlciRt/QAp1D4yzD+ofCHTl8jK+Qb5/cF/7URu4N2Ym/nvdg/NAfJkZlY+na26ODGl5ZEcZ89aKzRL1rfH1zmphmE48PT0S1suwkM/v3xpThy+IrD5zl9E6geTY2PNz+GagqLJSVyAoQiipQwRYDQA0rsk5WIH7DRaLQAYHXM05qqqmpY8LL1c2tqajk1sLEGp3o9/7uKej39dWpqbI848MZICTpewfu6oYx5DLMbWl6uhErFwGJ1Q2dRzxks5mefxU/dVnDTJYzhHwhPxO50fkw0YCuSJInIfDcTOcMPYnu3g5j9eJro0MaXZj+WhpF/380rEI54ardVIFzqbhmED+/A2G7pCAn4xgQGW7Vcgn9/tN/B32dKdv/ZVodga2oMiyUlctGvMbxZpIQpAoQeUGKfrERqlJfzA1IAbN5HNO7C2Tu6Wl2ta7Da5/Y9NIZTeleRHyCkR0TpTDxbIw7U6kqvjJRQqWj3VPomgHd0Q8vKDOBfVVVt0/MZWNRomobFujo9dDqdVVi898dtnBq5iZsu4Qj+oDC3yypkSjc7B4Qhidj+WgL2vbcPWYMPYEPYIdGBjW991YE/MxlGgx/baRUI57lRBuGgJ5MR02MPJG+sNYNByVvrcOdOid3ndXm5Cnq9Hnp9PefTHRSlBEWR7qCYIiVMESD0gBL7ZCXiBwgrKioBwCbjFXtHRC2BG1eOpk3BKV+7ik3tC1qPOHhgch7ZakTi7qqspHMf3Xlf0F7J5Up2TJQr8C8vVzXAorYh88w6LNbU6KAuV+OPuEyngfDkSP7MZY6Pdrw7uOet9UiT7ULCS9uwf9B+7BlwEAtfzRId1oTQtDbZvANhf58kfO5jGQhntNsvOujZohGvp2BotxS8/PzXZjDYquUS7Em94NB5yEyFEBj0TJESpggQekCJfbIS8QOEKlXzIeuWunCOfC2uHE0ZkLUGpzpdHXQ6bncInY2UMIwLGoxI+NwtE1Pe6J5qGI0VLkrDHBZrodfTsHg/6zx+6rTUSSjkPoYit/saZARsdAwG/7URKcE0DOYMy8GO6MP43yN7RAc1IbTon8LAYH+fJMz4W5pFIPz4zQzRYa85xbZNw8Cuu/DME8sswmDMsDS7zzOFQsVOOpSXcxsNRGDQdURKmCJA6AEl9slKxD0MMl02wHLIelNdOMeA0DlH08b/jrWIC67Na/iMlCgvNzYiaXpckMm80mgqG2DRtXILvXVf0Hg01lUAvrxchaIz+fhl4DrHgXD4Ju67g6Mc6w6mBW1Dsl8Str+agP0jDmJtyAHRIU1ILYngf1yU0f+eSTcHQp9UDGrp2hmEY6LS8F6XZIsg2KrlErz2j5W4evW+XeeRQlHRcG7XcZ4TS2DQtURKmCJA6AEl9slKxE+HUKFgMvXMgdDZEdHGcsbRlIZTGvYANGkaw0CVs6/X0UgJvZ7uFDkLRU11UgeEQwAAIABJREFUgJhiwLimRmezuQ2fUETviLoGFAkhjUZrYh4j9utprJI7xTgzZafDUHh69DbOYPDHXuuQ7r/BfiCUJWHHP7djxz+3I3PEYcx7PlN0QBNS/3tkD2KfTRUMCGf/wzycfs6LWaIDnzX1fzQJw6NS0b3jDqsw2KrlEmxcf8quc0eprGD3wQkMer5ICVMECD2gxD5ZifgDQiZTz/gxLkZEG0ujoYHQkWzAiopKNs/NWjeTERfmNfSIqAL2jIgyzpJ1dXW8d4poWNQ0wGJNAyxaM7fhFxYNo7E6l4QivmSveYxYoqhyXF5/FLkdF9sPhCO42yX8caR93cE9b63H3vDdSHhpGxLfTsTOPocw8yHxAU1ofRV6SDAY7O+ThLh/ZplHTgS4ZuTE0Od3oW9YMjq03dIkDPbqkWTXOaNSqRv+/tVyvgNNYNA1RUqYIkDoASX2yUrEHxDW19ez46Bcjog2lr2OpowqK6vZsUlbPtdZ8xpHYNCVIiUUClWDuY3WZidU2tzGeqaWNXnjvqCxeQzXYfN86s6xPJyIXmn/6OiorU7D4E/vbcBeXztgULIRe9o3wGBACr6J9HwXUWuaKd0vKBDGv5NtBoTL27te5MQo3z14N2QH/N9e1yQMPv/UCpw7W2DzecLAoE5Xy/k5SGDQdUVKmCJA6AEl9slKxB8Q6vX1qK7WcT4i2liMo6lK1byjKaOaGnpE1J4Yiaoqx8xrmBFRe/7Al5crjSIlXBsOrDuhmsIi44RaVWXdCZXeF6TftzftCxqPBCuVwpjHcKmia3fx6/ht9kVQDNmAo7IlTgHhz++n2N4dlG7DroCdSHhpG5K75mDB3/diY+QR0cFMDM1/OQsDHhIOBvv7JGGO/36XzyCcEJGJ6LBkvP7SqiZhsFXLJVi0INfm86OiQsO6I3N97lGUCgQGXVekhCkChB5QYp+sRGrI5fwAYV2dnjUy4XJEtLFUKtsjLlSqSnZfrrkR0cZyxLyGhkEF7NkXNOzN1UOptL+75kqSy5VQKitsckJlAJi+cVDpMkYqfIv+eT9wKfMYR0QVl+GPxTl2QeHv43c4biTTfxP2/mudTTCYFbETiW/swI53krCl43eIeygVcQ+l4qu3s0WHMzG0TEAzGUbzpQfMMwjDXSSD8KEdiInag+iOSXjuyeXNwmBEhwTU1Oga7VirLd74U6sJDHqzSAlTBAg9oMQ+WYn4AUKlUoP6+npeRkTNIc+2iAuNpoqFD3u6iYwqK+nxTVuf78iIqHGkhKfvzTHB6Wp1JTsqyYgpYydUrbYaarVrOqE6KoN5jOfkKuZnncFPXZfbBISnhmzA0faOAeEPQ5Jt2hfM6rwHCS9tQ0pUNla8ns3CIKOlb+0XHdCE1MyHUjH+pT2CA+Ei2XdmQPiFVPwMwkFPJKFv+2S81zkZTzYDgq1aLsHTTyzD6VN3rO5YGxty1dTojHJTuTaQITDoDiIlTBEg9IAS+2Ql4h4ImRFR5mKeTxik4ZP+pdtUx4/ZSaupcTxYnjGvae55dFfQvk6PPZESnqbqavP37U5OqI6/75qG9+3a5jGO6N6FWzg5fKNtUDjGfsfRE4O+aT5Swncj0jqmIuHVBGzvegjxLVLNYDDuoVRs6XxMdEgTUivaHRQcBvv7JGFhmDkQTnpjr6gwOOLVFET5b0XPyMRmQZDRtE8PWTzmjXesq6pqUFenZ39PWf6dVc12Fu29wUVg0H1ESpgiQOgBJfbJSsQtEBq7iNbUcJvb15QAyxEXKpWGHVutrKx26msY3Eytj746FilRwVmkhDvJ0X3BxhdeTTuhGsxtaFgU/33L5UrU1rqfeYy9Ki0sxfmZac0C4c8D1tnfJRyQ1CQMprfbht3SXUhqm4rV/vstgiCjr//lXR3CL0NyRAHCeWGHzIBw8GPiZRDGBqUh5I3NiAjZajMMBvhuQOFdqtljv7KSNjpjbvYwv7NM3ZubusFVzd7gunXrDijKMGVCw6D41w1EtomUMEWA0ANK7JOVSI2yMi66dOYuotXV3OT22SJLERcaTRXq6x9Ar6+3ab+wOTXnZkqPiCrhqpESriTTfEHu9iRtMbehYbG2ARYtm9vwJVPzGPfeD7VV1xJP4MfIJU13Ccfa3iU8MezbJmEwM3InEt/ageRuBzDvibQmYZDRotf2iQ5qQmjucxkY1CJZFCCcG24KhHHPZYgHg5F7EfLmZgT5brQZBlu1XIJ9WXnNHu9aLX3j0NZJD1NYNJ2G2L9/PyQSCaRSKfr27YuJEz/C3LkLsXVrIg4fzsWlSzdRUkIA0ZVFSpgiQOgBJfbJSuQ8EFpzEXU2psEeGUdcMDAKADqd4yOijdWUm6lhRNQ9IyWElBih6wZzGw20WtucUDUabQP8cwOLFRWaBvOYOo/ZgbRFCkUFlH/ew8mB66x3CfuvtblLeOS9ROv7gt32YIckGZvaH7QJBBltjDgsOqwJoeUimMmwQBhhCoSL/XIEB8F+jyRiaGQKIttsxZuvrLYLBsfFZjR7rGu19O/0ykotJ+cORcmRk3MQmzd/g9mzv8SoUbHo3LkL/Pz8IJFIWFj8/vufRL+OILIsUsIUAUIPKLFPViLngLCqit6DsuQiqtXWoL7ePldOR6XX00CoVGrYMcTGHUNnZcnN1JERUXeKlOBarrg3Z48TKg2L1Q2wqLa5q8uYBfHhNOjKMjio1qG0oBi//yfZelj9uITmYyZGbrO8L+i3Eemd05ActQ+LX8y0CwbjHkrFSr8c0WFNCE16fa9oQDgn0hQIl8mEDaUf8uxO9Gi7Az07JOKFp1bYBYNvvrYaN28UNXmsMzf4NBpuYNBYjcdE792T4+zZPGRlHcSWLQm4fv0v0a8jiCyLlDBFgNADSuyTlYiWvXBkPCKq1Vp2EWWC34UBQvpinelUcjEiag6Epm6mjIuoY5ESeq8ZGSwroyHYHfMFGSdUjaYSWm11Ayxa2v3RWzWKMECwd5kFMZ1gYwimqHJcWvs9cjsuNu8S9l2Dox2aAELZUnzXc7sZDGYEb0NK+1QkdP4OcQ/bB4LGWvBKpujAxmt3MPCAaDDY3ycJcY06hEs7CpdB+P6/UhH8+ia81ykZf39sqV0w2KrlEmzf9nuTx3p1dQ1vO8FkZ9C9RUqYIkDoASX2yUpEy55weuMR0YoK61EPtrpyciHG1ZTPvEOlkgZCjUbrYKRElddEShiLr31BsWWrEyp9XNa6pROqo2K6JVVVljvBt4/8geM9vzbvEo633iX8+X1zGNzXZSd2hafj63fM4yTslaePjc5tLy4Qfhlx0AQI54cL0yEc234vJM+sRe9OSXaDYKuWSzCg764mj3UmWkKt5vZGF0UpQWDQ/UVKmCJA6AEl9slKRMtWIGS6HbaAF2PCwhegMZDGdCqFMLABaDdTe/6wy+VKr42UEGNf0BWkUmmg19M3TWpqdDY7oSoUruGE6oyYC+TmRufuX7mL02O3mgDhiT6rcSxsmTkQtl+Gg90SDCOib6/Hvp57kNjtIOY+bptxTHNa1dpzx0bjn0rH0Md2igqEszqaAuGMttn8wuBDO/B+pz145+k16Nxhm90g+MLTy9GrWyLy8u42e6xzPfVAYNBzREqYIkDoASX2yUpEqzkgpHfz9Hbt5hlcObkf31Qo1KioMHQqa2vreI+4KC+vYE1IrO+UmUKPcaSESqUW/WJdSDE3D6x1iTxVFRUatlttyTzG1Z1QHRUzFlxf/8DmY50qLsMfC/c36hJuN+8Ojk402RfMiM7ChmD7jGOa1cOpWPBSlujwxodWdz4mKgz290nCjA4HTIDw4zfTeYPBgX9LRv+wnQh8eQNC2my2fVfwldXoHrUdUe23YcpH+/HXX6VWj12djo6O4fr3OoFBzxIpYYoAoQeU2CcrEa3mwK6+/oHdu3mMKycf+3xabbXJiGhNTS2vHUImUkIuV0CpVDcYkDS1U1bHdi71ej0qKjRe0yEzNs3x5Jw9S6qspMekHTGPaWxuU12ta4BF7sxt+BJ946O+wVXY/rHgm5m/46euy+kuYe9VOBa2nIXBY2HLcSBqKx0pEboNKb0PYNGz6dzCYIM2eOjY6JS3M0QHwumyHBMgHPL4Tl5gcPgruxHptxXhvlvwzutrm4XAQL8NeLfzDoQGbMbTLZfi7VfWIHX3hSbOUwWbI0pgkKg5kRKmCBB6QIl9shLRstYhNMQ31EGptA+iGpuwcCGlUg2drhYAHddg/Dr5AkJDpETTMt4pq6vTA4AJKALWxwTFBhmupFR65r6gLWLGgu0dKbZFQjihOipjJ1Fn4jQKz9/CyWEb6S7hB4Yu4c+xdAj9vm67sDXqEC8gyGh1wAHR4Y1rLfUTJ4i+sT4L3s/C4JfP8pNBGBu0B21eXI/uIdvx0nNfWwTAp59YirCQb9Gj0w74vbEOTz26lNWQfim4du1+k+chc5OGa1MwGgYrRL8WIOJWpIQpAoQeUGKfrES0GgOhIyOiluANADSaKk7ArKKismEvi95PMv4YH5mHzkZKGHfHbBkTNM/AE7/zY4+8dV/Q+GcuhoOqsRMqbW5juxOqsz8njaay4WfOTZxGyd1SnPtiD473WoljHZfjWMcVyO6wBRl9s7D8n/t4hUFmbHT+C57lNrog7KDoMNjfJwn/DdrHAuEiX+4zCMdE7MU//7YKfaKS8fTflplA4MvPf4XOHRPQpWMCXn3uaxMIfOrRpXjlma+xYc2pJo9NuZwZiXasC96UCAx6rkgJUwQIPaDEPlmJaBkDoUZDj4jq9c7HNwB0x8RZOGMiLOrq9A1h4aYfr6qqafhDzV1X0F4XUUciJWzt/NTV6aHT6Ro6P5UW9xXFlLfuCyqVzo1K8i1bnFCZ7h4Ni7Y7oTbnJOqMrm4/jl8n7sDxUUnYGX0Icx7dwz8MMmOjHT1nbPTLJ/Zi+BO7RIfB/j5JmBqQzQLhchl3kRP9H0nE8KhUvPro1+jT2eAkKnlzLXp02oHw4G/x3BPLzSCQUZfwBJw9U9DMeaREXZ2+4W8MtzfpCAx6tkgJUwQIPaDEPlmJaDFAaBgRrbV7RNSSuAiIN4yI6qw+h9kp5AoG6T/W4kZKWOr8WIo1cORinjvg8N59QWPzGHfsiCoUqoautbaha227E6qtTqLO6K+T1/BNBL8johbHRgM9Z2z0q7DvRAdBRpP9slggXNnlKCcwOOSZnXi33Q681Wo1uodvR3DgZrzbeQekvhutAiCj5/62DHNmH0NJibzJ47C8XAW9Xg+9vp7ziQ0Cg54vUsIUAUIPKLFPViJaCoXzI6KWVF9fj6oqy8H1zUmlqmQBqLmxU8bMw5nXyoyI2vMHXaxICeOL+aqqGhtiDbh3qlQqKxo6ovWc79O4urRa+nirrq4R/bVwLbncdZxQf02+JjgQxrdIxdznMkSHOS70f35ZooMgow/+uZcFwgUchNLHvJ2KkDc2I+CV9YjumoS3X1ndLAQyCm69CbnHrjd7/NEwSE99EBgkckSkhCkChB5QYp+sRLSqqnScjIg2ll6vb7Kz1xTgNTUi2lgaDX2B7mhXkxkRtWdf0BUjJWy5mOfCfITZHaut9a59wbIyQ/ZYZSV/3TFXlEKhYsdjKyurTEac+XRCzZh8SnAo3BDu/mOji9/KFh0CjTXm5T0sEM5st98pGPwgLBP/enoteoUlwb+RMUxz+s+k/bh7l7L5eK+r03M+nk9g0HtESpgiQOgBJfbJSkRLLldzMiLaWIyRhT2fw3Tcampqbf4cJvNQqWweHq3BoD0jomp1JTuu6S7GL5b3Fe03H/HWfUEmZ08s8xgxZYuTKH182RLJYt8+bEmRHOtDhR0dXSM9KDrQOatFHQ+JDoHGev/ZFEMG4VuOZxDGdt6LN55YhZi+aXjtuZU2g6Dk9bXISPvDpuNdoaCnH+rquB8HJzDoXSIlTBEg9IAS+2QloiWXcw+DCoUatbV10OlsAzuVyjC2aq8RDZN5qFLZ3uGkR0Tth7mqKhqIPGlc0Fbzkfr6B3jw4AFqanTsPhkN054tw3is98VpMDc/dDqdwz9rw/Hl2D7srXP3sZCn7EGLY6OP7MGcZ9JFhzpHNatlGkY9nSI6BBpr6N92sUA49G/2ZxAOeDwZA8J2IeSNzRgWnYJnH1tmMwzGjsiEvEzb6GaE5c41c67zsRtMYND7REqYIkDoASX2yUpEq6yMHyDU6WpRW1vX7PM0mqqGUTPHxlZVKhoIbf1cxyIlVF5poKJQqFBZqUV9fT3bJRJjn0wsMUDkjeOxWi1/TqKMbL0Z8WfGX4J2CTdHHhUd7BzVV+1dx0yG0YCHkugMwqft7w4Of3kXovy34r3wJPTrstNmEHzl2a/xzcZfGx1f1jvXTOC8Xq/n3MmZwKB3ipQwRYDQA0rsk5WIFl9AWFNT22xgvLGzqaNfR6XSAADUam2zz6VHRJVwNFLCWztEjYFILlc0jKBqoNVWobpax4Y2MyVWWDpXYoDIk7rBtkoIJ9Hm1NgJ9cCnZ4XbIww9IjrYOaovAl1rf5DR9Ef3YJHEvv3B2IA9CP7nJgzpshtdQhNshsEeUTtw/lxzcRKGmxHM8c7I+HdY4zF6e2GRwKD3ipQwRYDQA0rsk5WIFl9AWF2ta4Ao848pldw5myqVNBA250bqKpES7iJmPNbeDpHt+2TiRWY0/fpdA4jEee+GKBFX25UsKZJjvew7QYBwzqN7EP+U+42NLnxtHwa4APxZ0sy/78Wy0EO2h8133ItI/614r0My2ko22QSCzz+xHAvm/IDSUtt/xzMRMjqdjn3Mls61pd9h+fl3cP16PiiK/voEBr1bpIQpAoQeUGKfrES0+AJCa4HxarUW9fWOj4haEgCru4eOjIjK5UrodDp2p1Hsi2GxoIDr8VhrF1rGZS3/Toj3Xl6uagihfuAy7rFCiXZWpDPXXLUTfuu8cPuE68Lcz210aUfXGxdlNOuFDCyLaD5yol+LRIyISkX/yJ3oFZqIN15cZRMMhgZ+g59+vGHX8cTAYE2NzubPaSr2p0uXLpBIJGjbti369++Pjz/+NxYuXIrExN344Yefcf36XygtdQwQr18vwIQJExEcHAyZTIbZs+egqEhh8bnZ2YcQHd0bQUFBePfdnsjKOsh+rLCQwvTpMxEWFo7g4BDExIzCqVPn2I+npKTD398fUqmU1dSpn7Af37IlAd2794BU2hbduvXA5s3bjP7tMsyePQcREZFo164dBgwYhMOHc0W/xhFLpIQpAoQeUGKfrEQGMeH0XMpSYDzTdaqtrePU2dRap9FTIiWEklJZwcYLCJ0vaLjQsp5/p9fXN4yg1jSMoGo4G0FVKo1Hg91jrJUr2eIk6ir6bacw+YTrQ90LCP/XYg/GvpAqOvhZ05evZmJBeNMdwsHP7ES/sGT067gT/SKS8UKrFc2C4NMtl+K/kw/gXmHzcRLGYsbhuRwJv3btOrKz92PDho344ouZGDnyfURGRkEikbDq33+gQ3+jR4yIwZQpn+DuXQoXLlxBr17RWL16vdnzzp27hICAQKSn70dRkQIpKRkIDAzE5cv5oCg15s5diJEj30d+fiHu3y9HXNxcdOnSlf38+Pj5+PTTaRZfQ3r6fgQHhyA39yRKSyuQm/sLgoNDkJaWBYpSY/bsOejffyD+/PMGiouV2Lo1EUFBQcjLuyH6NY4YIiVMESD0gBL7ZCUyiA8grKw0AKFSqWG7TlqtY2H1Tam+3vzfdSZSorbWfSIluJLxe3eF0U1GliMz6szGt+h9RdsjDSy9d28cDTZ97+K/HluU+e/TvAPh3MfSEP939xkbXRHiWlETjRX31j7MbJfTRNh8CvpH7ETYW1vQv7Nt5jG+r69FVkae3cePRkNHFVVVcb8fbGlM9O5dCqdPn8fevfuQnX3I7r/P589fhkQiwZUrt9jHUlLSERXVyey5CxcuxahRsSaPxcaOw5IlK0BRaowfPwHDh4/EzZt3ce+eHHPmLEB0dG/2ucOHj8SmTVstvo7Nm7dh5cq1Jo99+OFHmDUrHhSlxuefz0B29ncmHw8JCcXevdmiX+OIIVLCFAFCDyixT1Yig/gAQiYwnh4RrUd9fb1Nxi+OSK+vR1UVDYTMiKi9f8iZjD1vNBGpqmIcJd3rvZeXK52KNHDn986FhHAS5UMlRXJsaM//PuG6Dt+JDnq2ala7HNGhrynN8cvGZCsZhLHBaRjaNQVtnl2Pd8N22ASD7w9Nw80bRXYfO5WVWt6Oeb52BjMy9iM0VGby2OnT5yGRSHDr1n2TxydMmIS4uHkmj8XFzcOECRNBUWocOfIjZDIZJBIJ/P39ERYWjt9//wMUpUZJiQpSaVuMGTMOUVGdEBERiWnTZiA//57F13X9egFkMhkSE3db/Ph33/0APz8/XLx4VfRrHDFESpgiQOgBJfbJSmQQH5DGBMYzXSdHguNtB0I9qqt1DTBo34iot0ZKlJUx+4K1DQYqnvXe6X1FTcO+oumuD1OMq2BtbZ3RvqJ3dIbd3Tjn9gX+9wnXhRwSHfRs0bwXMzHw4WTRoa8pzQ3IwbBWu8xgcGyXdPSRJSH45U3oELClWRB87fmV2Lr5N4eOmcpK+ialVsv9XjifBjLJyamIjIwyeezChSuQSCS4dOmmyeMxMaOxePFyk8cWLVqGmJjRoCg1Dh06hs8/n4HLl/NRUFCM6dNnolu3HigsLMO1a3cwbNgIJCQk4+5dCnl5NzBiRAzGjh1v9pquXr2Nvn37Y/ToMRZ3GXNzTyI0VIbly1eKfn0jlkgJUwQIPaDEPlmJDOK6Q6hU0sH0AFBdreMNBBkx1uD2joh6c6QEsy9YXy/8vqDYUqnU7Htn8jKN9xXdPTKjKbmyk6i9+m0Xv/uEcx9PQ9wTaaIDX3NaHuG6ZjKMFnQ4aAKCAx9Pwrhe6Qh5dTM6+W+D72trm4XBnp0T8cfFuw4dK0w3nA+TML7dRPfuzYZMZrlDePt2kcnjH3zwIeLj55s8RncIJ6GoSIGQkFDk5p5kP1ZUpEBQUBAyMw9Y/NrHj5+Gr68vCgqK2cdyc08iMjIK//73VNy7Jzf7nG3bkiCVSrF27UbRr23EFClhigChB5TYJyuRQVwCYUVFZcPFNj22x5WTqDWVl1dAp6sFYF+cgTdHSpjuSnrXe2duAtTV6c0Az/K+ouUga+NsMqVS7RbHEOMk6kk3ATL/w+8+4br2Lj426pOKD19JEx34mtPi7kdYGBz2j114/900vP3YavRun4SXn/qq6TiJVsuxeP6PdsVJGIsZC+ejGy5EtMS5c5cgkUhw7dod9rGUlHSzriFFqbFgwRLExo4zeSw2dhwWLVqG/Px7kEgkOHLkR/ZjzJhoTs4RnDp1DvPmLTJxQj169AT8/f1Z8EtISEZQUBDWrDGHveJiJT7/fAbat2+PgwePin5dI7ZICVMECD2gxD5ZiQziCggZZ9G6Oj1UqkoAtgXGOwOD9IW40ijOwPJ4IB1nUIvq6hqTDESxL2iFFnNx5I27khqN4+YxtmST1dc/aIjMYG5IaBpuSIj/3k1B2PXh1VaVFsuxoQN/+4TrQ10bCL9q69pmMmyHsCcNhLGt9yA6OBFvPLIK/TvvxDMtlzUJg+2DvsHPx286fHxUV9fwtg4gZM7g0KHDMXnyFBQUFOPixavo1SuaNYox1pkzeQgICERKSgbrMhoQEIizZ/9k/52BAwfj+vUCFBaWYc6cBejcuQv++qsUly7dhFQqxapV61BUpEBe3g0MGjQEn302HRSlRlpaFtq0aYOcnCMWX+OsWXGIjIxCXt510a9pXEGkhCkChB5QYp+sRAZxAYRMl854RBRoPjDeUdEuoko0NSIql9MxEkycgU5Xy+6NMeWsQ6W7yJP3BW2RwTyG+5sAxtlkdGRGrVlkhvENicpKraD7iu7oJGqPbl+4j0XPZfAChPP+loYvH3fdsdH54a4/LtrfJwlx3b/DBxHpaPviRrzztzXoE5nUbJzEZ1MP4t69MoePC2ZP1t1hkKLUuHbtDiZNmgyZTIb27TsgPn4+iouVoCg1pFIpdu7cwz43J+cI+vTpC6m0LXr1ijZxNr127Q6mTv0UYWHhCA2VYezY8SwsUhRtOjN48FC0bdsO7dt3wKxZcSgsLANFqdG7dx/4+fmZZBRKpVJMnz4TN27chZ+fH1q3bm32cePX5k0iJUwRIPSAEvtkJTJILnd+RJQGDVP4A4DKSvN8QC5gkP7D7HikhC0OlUw2W3W1ziQk3d0uqo2zFZVK78pWlMuV7I0AoU2D5HJFwwiqBlptFaqrdQ37ipZuSPCzr6jV0kYanu6i+vuu64h7mJ8u4VqZa3YJ5zyTgcGP7hQd9ppTv4d34MNu6Xjz0VUIfH4DotptbRIG/d9ch5x9l5w6HhgY5GNPVmgYJHJPkRKmCBB6QIl9shIZ5CgQMnt49IiouYuotcB4Z0dE7XERLSszRErYelFsS8fHPCTdNU1HvHlf0HhnTqVyLRCm9xXVDfuK1TbsKza9E2tJzEVxZaV7OonaK772Cde76B7hio6u3x3s/fgODAzaiTceWYXwt7cg8O0NTcJg7Ih03Movduo4YG4A8XHOExgkslWkhCkChB5QYp+sRAY5AoQ1NfSIaE2NdRfR+npDPiA3I6L2R0owIeZcdIdsDUk3Nx1xLBvRWXnzvmBT5jGuLmv7isZFj6DWNYygGrrXZWWe5SRqj/jaJ5zXai9mP7ZHdABsrMlvZogOfFa7gj6J6PLkVnT/VwLeeGQV3m23A/98bpVVEHz9hZXYvvV3p37+crmCHYvnBwZVIDBIZKtICVMECD2gxD5ZiQyyBwhVKg3byaisbHo/kMkH5AoGXTlSwjCC2pTpiPWLeC5lPCbprjlzzkij0Xrszpyhe13V0L2uM+teM3uyNTW6hu61xu2g2FGV3lRg8fOZ3I+Nulgm4bI2B0SHPmuK9kkmra9BAAAgAElEQVRA6JOb0OnNb2nzmMideP5vy63CYJ/uycj7w7E4CUbMTZD6+ge8OOgSGCSyV6SEKQKEHlBin6xEBtkKhBpNFbvzpFI1HyfBdMqcGxG1/0JWq2UiJXQuEQdgy0U8V3tk3rwvWFZmGA/2NgdZuVwJjaYS9fV0vqK17rUnGygxN0EupN3ifJ9wQwfXGhud1+Gg6OBnSRE+30D6xAaEv/Et3mq5GgO67LYKgi8+uQLLlxwHRTkWJ2F87NfV1fEWp0JgkMgRkRKmCBB6QIl9shIZVFbWPJxVV+sAADpdrc1AV1tbZ9fzzWHQvn1B484YHwHEXMt0BLWpPTLbshUrKjReuy9o7KIqtHmMK6gpJ1FLBkrOHGeuJuPuEDMqmDWF233C+U/uxaxHXWNsNO7JdAx7fJfo8Gesvj47EPTwekif3ADpixvh/9Q69Oxo3Uk0InQbzp8tdPo4o2GQvgHGh2svgUEiR0VKmCJA6AEl9slKZFBTQGg6ImqfQYxOV4va2joHR0SbjpRoLOPOmKsZiDgiy3tklqIM6BFUJvajpkYn+msXWp4YuG6PGCdRR3ZF6eNMY0OGZ+NRZ9cYQS0vN/zsjcev+dgnXBPsGmOjK1wsaqKbz1b4tViDsBe/gf9TaxH62maE+m+2CILPPLYMs6YfhUZTbeNxZt3VubxcCb1eD72eTxgU/+8zkXuKlDBFgNADSuyTlcgga0Co0WhRX/8Aen09KiqaHxFtLKbjZS8M0n+QHY2UcP2OhrMyzlasqdGhvr7eymhgrUeOBhpLpdKw8SDesidnrJoaunPPh5Oo8XHG96izI1IqK5o0Drp9sQiLnucun3BD2GHRYXDG/0vFfyVZokNgfx/aOCb0oU2QtFiDbm8n4J3H16BrQALeeXm1RRhs8/Z6HMy57NBx1jjHU62ubIBBfkyjCAwSOStSwhQBQg8osU9WIlM1DqdndrF0uloolY7tAFZX6xpMXfgZES0rsz9SwpPUuCvaOMrAttFATcPIlvjvx15VVmpZ8xSxX4vQEtNJ1HG3XTVnI6gqlWE8uql/8/fd3OUTLngqHbMeERcGl/xrv+gg2N+HNo5p/fBaSFqswXvSRLz5yCq8F56Mfzy5wiIMjh+Vgdu3S5w6zpgcz6Zvfjl/U4LAIBEXIiVMESD0gBL7ZCUyFQOESqWG/aPrbIZgVVVNwyiXLSOiCtjTFeQ6UsLdxOwL2toZKy9vPluRuQtfVUXfhXdld0qDeYzr74pyLVcekbUWmWHqtuvcTQlmIsDWGwFZU3/lrEu4up24Y6MLww+JDoORPt9A8vAaSFqswcAOdMZg/8478bQFEHzjxVVI2n6Ww2Pf0BVWqdTN3pSw10SJwCARVyIlTBEg9IAS+2QlMlV5uRpqtZZ1KVSrtU7BoEKhhlZbjQcPHnA+Iip0pISrSavlLl9QLleI3u2x7/UaOmNqtfdk7DFy53xFg9tu8zclmNHAxvuKzL5kVZXtLrKlxXJsDDvMzdhouHhjo7MfT0PMUymigSBjHMPA4IAOyZA8sQbREYkWu4L9eu7EpT8LOTt+mBHh5rrCtpoozZgxAx9//DEWL16MxMQkfP99Lq5evY3SUm5MZK5fL8CECRMRHBwMmUyG2bPnoKhIYfG52dmHEB3dG0FBQXj33Z7IyjrIfqywkML06TMRFhaO4OAQxMSMwqlT59iPp6Skw9/fH1KplNXUqZ+wH9+yJQHdu/eAVNoW3br1wObN29iP5effw5Qpn0Amk6Ft23aIiRmFkyfPiH494gkiJUwRIPSAEvtkJTKVVlvDjmAplRqnYVChUKOykgaXpkZE7b0oYC4Ia2pcI1JCSJm6qPKfL+hK2YplZcyIbL1LdsaEkKmTqOcc+3K5tT0y0wt45r9ra+vsHg28/Qc3+4QLn0nH/1qIA4SrIr4XDQa7+2yDbwMI+j26Fn1CkiB9cSM6Sr81A8F//H0FVi4/AWfjJIylVKpRX8+MCDv+7xh3sNevX4+xY8eia9eu8PX1hUQigUQiQdu27dC3b39MnvwfbNiwBSUljnUNR4yIwZQpn+DuXQoXLlxBr17RWL16vdnzzp27hICAQKSn70dRkQIpKRkIDAzE5cv5oCg15s5diJEj30d+fiHu3y9HXNxcdOnSlf38+Pj5+PTTaRZfQ3r6fgQHhyA39yRKSyuQm/sLgoNDkJaWBYpSY+LEjzB+/ATcunUfRUUKzJ+/GFFRnUS/HvEEkRKmCBB6QIl9shKZqq5Oj6qqGk5AkJFGQ8Nb4x1EZkTUkyMluJbxmKAruKiad3ssGY7Uc7bbYzoi6zkwZKuccRJ1ZzF7sUzXura2zspebOMOtvkNpzMp3OwTrpIeFKdLGJQjOAiyxjENMBj05Hp0a5OASMlWtH5jvYU4ia04feoWp8eASqVmb4RwfXxRlBIUpUJhYRl+++0i0tP3Y/Xq9Zg27QsMHz4SQ4cOdwgIz5+/DIlEgitXbrGPpaSkW4SthQuXYtSoWJPHYmPHYcmSFaAoNcaPn4Dhw0fi5s27uHdPjjlzFiA6ujf73OHDR2LTpq0WX8fmzduwcuVak8c+/PAjzJoVD4pSo6hIgcLCMlAU3S384ov/oV+/AaJfj3iCSAlTBAg9oMQ+WYlM1dhUhgup1VoAMOk4OrIvqFR6VqSEvbJ3X1BMWTYcaeoCvvnMu8pKQ1dY7Pcnhph9SSG6wq4mSxmDjGzbVzTtYO//v9+dBsKNIoyNLnlLeBiM9tnOGsdIWqyB7MXN6PjWt+gVmohXn/3aBASffXwZ/vf5YRQVyTn9+TO/+/iEQT7+nmZk7EdoqMzksdOnz0MikeDWrfsmj0+YMAlxcfNMHouLm4cJEyaCotQ4cuRHyGQySCQS+Pv7IywsHL///gcoSo2SEhWk0rYYM2YcoqI6ISIiEtOmzUB+/j2Lr+v69QLIZDIkJu42eXzBgiXw9fVFu3btcPToCdGvRzxBpIQpAoQeUGKfrESm4gMIKyoqAQAqVWXDiKj9MONtkRKNZTwiK/ZrcVb2ZitWVlax+Yre2BWmYahWFCdRV5C1jEFbZK2Dra+rx7dRx5wCwkXPZWDmQwIDYUdhswcjfbawXUFJizXo/NZWtHtpE/pH7cSzjy0zgcFAyQYcPnSF858/A4N8/O7jEwYpSo3k5FRERkaZPHbhwhVIJBJcunTT5PGYmNFYvHi5yWOLFi1DTMxoUJQahw4dw+efz8Dly/koKCjG9Okz0a1bDxQWluHatTsYNmwEEhKScfcuhby8GxgxIgZjx443e01Xr95G3779MXr0GLNdxsJCCvfuybF27UZIpVJcuHBF9GsSdxcpYYoAoQeU2Ccrkan4AEKVigbCiopKJyMlbDeQ8BQJvS8othrvkFl3DGw8guqZNwmMYcgb9yWbyxh0VHK5Encvl2Cxk/uEK4OEGxud9egexD6bKhgMyoxGRCUt1qB3UCICn1uP96KSzUZEPxyThTt37IuTsEXMjUA+RqRpGOTGOMaa9u7NhkxmuUN4+3aRyeMffPAh4uPnmzxGdwgnoahIgZCQUOTmnmQ/VlSkQFBQEDIzD1j82sePn4avry8KCorZx3JzTyIyMgr//vdU3Lsnb/K19+zZC+vWbRL9msTdRUqYIkDoASX2yUpkKj6AUKnUAKD3nuwxG/H2SAlX2xcUWvSIcD30+noolWqTbEXrI6h1FkZQxX8vjr1/93US5ULMzlhzbpLO6Eyqc/uE30QdFQwIV4QKEzXRzycRwQ9tYEGQiZWQvrgBXUITTEDwzZdWY1fSOV5+NhpNJft3g+t/WwgYpCjaKEYikeDatTvsYykp6WZdQ4qixzVjY8eZPBYbOw6LFi1Dfv49SCQSHDnyI/sxZkw0J+cITp06h3nzFpk4ox49egL+/v4s+CUkJCMoKAhr1mxk9yGZ5w8ePBSpqZkmX7tLl65mI6VE9ouUMEWA0ANK7JOVyFRyOfdAKJerUFOjs8tsRKXSeHWkREWFhs1p80YYYMbEbIEB0xHUmiZGUK3HGLiaPNVJ1N73L8SI9L5PHM8nXPJipmBjozOl/IfR9/XZAWkjGBwWlYIOb3yDdr6bTGBwQO9duHL5Hi8/E42G3jvnYypEKBhkNHTocEyePAUFBcW4ePEqevWKZo1ijHXmTB4CAgKRkpLBuowGBATi7Nk/2X9n4MDBuH69AIWFZZgzZwE6d+6Cv/4qxaVLNyGVSrFq1ToUFSmQl3cDgwYNwWefTQdFqZGWloU2bdogJ+cIiouV7NfMy7uBs2fzMGPGLPTs2Qt5eddx754cS5asQEREpNUdRCLbRUqYIkDoASX2yUpkKi6BkImUMB4RtdVsBAD0en0jt0DxL1SFkCftCzrz/p3tDDAxBmq1xubQajGzFbl+/+4qxjyoqkqY919aLMemjo7nE34dcIB3GJz/chYGPMQvDL7nswMBD68zhcFOKegu3Y43/7GKBcGXnvoKq7/+hfefv1bL/b6w0DBIUWpcu3YHkyZNhkwmQ/v2HRAfP5+FMqlUip0797DPzck5gj59+kIqbYtevaKRnX3I5N+ZOvVThIWFIzRUhrFjx7OwSFG06czgwUPRtm07tG/fAbNmxbHOob1794Gfn59JRmHr1q0RGipDhw5hCA/viIEDB6NDhzDIZDKMG/eByb9N5LhICVMECD2gxD5ZiUzFFRA6EimhUFSwYeO1tbUWOz2GrmKN0xEGria5XAGdTuc1+4KWVFOjA8C/eYx5aLUlZ8oHgmUrMjI4iXqfeY6Y79+ZfMKNEfy7jS6L4NdMprfPDhMnUb9H12BQxC707bgTL7RawcJgp/bb8Ptvt3n7OTA3Q/j4+YsBg66qadNmoFu37jh48CiKi5UYMmQYOnfugjNn8kw6iETOi5QwRYDQA0rsk5XIVFwAoeOREvUW9+XkcoWFrqJ5p8dyhIH4F7m2SKFQoa7Oe/cFy8uV7M9UbCdNc2fK2ibGnbm5MeHtTqJlZYabIWLtCzu6T7jkH5mY4cMfDP7v4T2Y8PJe3mCwp08C/I1gMKDVOrwnS0K/zjtN4iS+nPE9iou5jZMwVlVVNQBAo+H+Zpi3w6BxhuLly/kYMGAQDh/OBUWpkZi4G23btkNm5gHs33+Y3VM03kckclykhCkChB5QYp+sRKYqK3N+RNTeP9YajeORErZHGLhuV9GwL+id5iGMk6Sr74taHndu6saE9XB0Y3m7kyiTMfjggXnGoNDa9+lvjo2NtuZvbPTrYP66g919tsHPCAZDntuIXm0T0TM8kYVBqe9GHD1yjdfve3V1DR48eACNhvubAd4Og8Ydv4KCEly4cAXBwcEoLlZi+/adaNeuHWsoM3Xqp4iJGUVgkEOREqYIEHpAiX2yEpnKUSCkYdC+EVHmQgDgxzyAiTCwv6so3P6Ycdi6u3QzuZRxvqQ7m6c4Eo5eUaFBRUWlVzuJOpMxyIdKS8od2ifcGHGENyD8MoSfMPrOPt+awGDE69+iV7tEdAjYwsLgRx/sw19/lfL6PWdgkI/OsDfDYGlphQkMjhv3ARYtWobbt4vQt29/DBs2Au3atcP+/YfZ50yb9gU++ujfor92TxIpYYoAoQeU2CcrkakcAUJ6RFQJe0ZExYyUMOyPmV68G5clV0puc9DofTl6X9A798W8xTzFMIJaZRKOzhRtbGPdcddTxVfGoLO6k2f/PuHSl7N4GRud+3wmBrVI5hwGI3y2wPfhNfBtgMHuvtvRR5YM39fW4qlHl+LtV9YgdfcF3r/XzO9APsakvRUGjXMHGSUnpyImZjSuX/8Ld+9S+PLLOQgJCcXnn89gn3P3LoW+fftj4cKlor8HTxIpYYoAoQeU2CcrkbnshUF7/1DTI5LMiKDrXAiWlZkHo9MX786NBDYWDcN61NeLPyInhkxh2DvNc4w7w45lK7pvN7WsTJiMQWd0Zs8Nu/cJV/jncA6Ey3kwk2n/0Gb4PrwG/o/Q3cH+IbswpGsqXn1mJZ56dClGDtqLwkKFiZESH9MLOl1tw5gwgUGudP78ZYwePQa//nqefWzu3IUICgrCtGlfsI9duXILkyZNRufOXTF8+Eh89tl09OwZjZEj3xf9PXiaSAlTBAg9oMQ+WYnMZUs4vaVICVtkHKngTiOStrlSGo8EWs66U6nU7L6gq8GwMN9HujPsrTBcVmabk6YnZisyEjJj0Bll/599+4R8jI1Oep1bM5mQhzbCt8UaBLRc1xA4vwsDuuzCMy2X4ZVnvsaWTb9b7GIDtJESV8ebAQa5/x3grTBIUWrk5p7Epk1bTR7bvXsvevbshZ49o1FUpGAfv3LlFhISkjF69Fh8+uk0LFv2Nfsx4jTKnUgJUwQIPaDEPlmJzNUcEDriIiqXK9mLAE/rClkeCTTPumO6P7W1dVCpxM26E0Om5jGuDy5ciysnUVu62HS2IjOCWtkwgir+8SZ0xqAzKi0px6YI2/cJl72axW13MPAAZyDYzycR0ofXw6/FWrRttYENnO8TmYSnHl2KLuEJOHumwOIxa4uRkq3HG2MgVF//gBcDJW+GQWOVlKgQFzeX3Q/cuzcbMpkMY8aMa/ZzCQxyK1LCFAFCDyixT1YiczUFhIYRUW4iJTxZ9MUU3VWsq6N3FOvr65s1GvFEWDKYx9R6HQiXlRmPCfPnJCqX011stZrpYussZisaj6DyORLYWO6YsXgnrwiLX7B9n3C5hLux0bntuQHCvg2B834t1qL9s5vh9+gajOyaiqh22/Dc35ZhzuxjKCmxP06CmZqwfeS5mjUQIp1BfnXixG/o3LkrRo8ei6NHT4Ci1EhNzUS7du0wceJH7PPu3y83+TziLsq9SAlTBAg9oMQ+WYnMxeWIqDOREp4g431B466QbUYj5nfd3RGmmHwxd+gK8SFXME8RI1vRWGJnDDqjs2m27xNujORmbDT+qXQMfWyn0zDYpyFw3q/FWnR8aQuC/r4e77+bhqC3NyC49SbkHrvOy/es8cgz0xk3Lss3wxy7WeLtMGipq5eTcwQDBgzE6NFjkJv7CyhKjV270hAcHIyPP/6P6K/ZW0RKmCJA6AEl9slKZK7GHUJmRNSVIiXcQfS+YL1d+4JMV5G5626ty8PVhRSfkssNu0J8hE27gyoqNC7dGXU8W9G2mxOulDHojGzdJ1z+z32cAOGKjs6byfRqCJz3a7EWka9+i7CXvsGo6DS88fwq/GfSfty9SwnyvSsvV0Kv10Ovr4dCobIy8mzt5kTzrrveDoPMXuBff5XiwIHvkZi4G3l5N0BRanz//U/o27cfxowZh59+OgWKooPofX19sXPnHtFfuzeIlDBFgNADSuyTlchcxkDoyL6gaaQE9w5y7qDKyio8ePAAOh135jnmXZ7muopa0XbHjEck3RkEnD0GAPeN1bAWz9L8yHMFewy4UsagM6L3CY/Ytkv4zn6ngXDK2xlOwWCPhsB5vxZrEfHKt+j6zjbERKfC/811SN9zUcBjSNUAg813x225OXHs2DH06dMHEydOwoIFC7F163YcPpyLK1ducTrueP16ASZMmIjg4GDIZDLMnj3HxJDFWNnZhxAd3RtBQUF4992eyMo6yH6ssJDC9OkzERYWjuDgEMTEjMKpU+fYj6ekpMPf3x9SqZTV1KmfsB/fsiUB3bv3gFTaFt269cDmzdssvoa1azdBIpE0PFeK4OAQzJu3CAUFJTh8OBfvvdcXEyZMxIkTv4Gi1Dhx4lfRrzO8RaSEKQKEHlBin6xE5iovZ0ZEHY2U8F4XzbIyOlIBALRaYXalTC+kLO/yMLtj1dU63ruKjnRGPU3uuC9nj5obeQboGxQPHjxAdTX3I6hi6M6ftu0TOjs2utTPuSD6Lg2B834t1qLDi9/gvXZJGNR9F4YPTMX160WCHiN6fX0DDDp3U4q5OXH9+k3MnTsPEyZMQI8ePeDv7w+JRAKJRAKpVIq+ffth8uT/4Pvvf3Lqb+CIETGYMuUT3L1L4cKFK+jVKxqrV683e965c5cQEBCI9PT9KCpSICUlA4GBgbh8OR8URUc+jBz5PvLzC3H/fjni4uaiS5eu7OfHx8/Hp59Os/ga0tP3Izg4BLm5J1FaWoHc3F8QHByCtLQsUBRtHENRapw+fQ6tW7eGRCLBlSu3UFhIYeHCpejWrTvi4+ez/1Z0dG+MGBGDq1dvs1+DGMjwL1LCFAFCDyixT1Yic8nl3hUpwZWs7QuK/Zps3x1zvqvI7IzqdK45Ism3jN103XFfjov3zxwDen19E0YjerfMVjy7t/l9whVvZjsFhAvCDjoMg1E+W1gYDHl2E4ZF7ka/LsnYvOG0oN8nhcKwN8vHz5UZE71/vxxnz+YhM/MA1qzZiM8/n4ERI2KQmLjb4b9/589fZuGKeSwlJR1RUZ3Mnrtw4VKMGhVr8lhs7DgsWbICFKXG+PETMHz4SNy8eRf37skxZ84CREf3Zp87fPhIs5gIRps3b8PKlWtNHvvww48wa1Y8+99//HENUmlbdO/+LiQSidlra9++A06ePAOKUmP79p3YujVR9OsLbxMpYYoAoQeU2CcrkbnKylSg/+DSUEiDYTmsjY3euHELGzZsQFVVlcdFStgqpivmLpEKlsezmgtFb7qraDCP8c6dUVMnUe8ck20qY9DUaKS6iWzFprM8xVb2Z83vE654xzG30S+f2IvhT+xyCAbDfTbDrwUNg9JWGzD63TSMHZ6O8+fM4yT4lMFEqY5XGOTr719Gxn6EhspMHjt9+jwkEglu3bpv8viECZMQFzfP5LG4uHmYMGEiKEqNI0d+hEwmg0Qigb+/P8LCwvH773+AougOn1TaFmPGjENUVCdERERi2rQZyM+/Z/F1Xb9eAJlMhu3bd4GiaEfQiRM/QmiojO2SUpQahYVl7Od07twVc+cuMPu3iJuocCIlTBEg9IAS+2Qlak4VoChVg5RoDIo//ngcUVFRCA8Px92790S/WBNDlZVaj+qKWXIIbKqrWFmpZY1DNBrv64qVlZlmLLrzWKQzciZj0J2yFW3ZJ9wU9b1DQPhVmGNmMqEPbWJhsM1j6/BBv3R8teQESktt3/3m7jygTa/cEQYpSo3k5FRERkaZPHbhwhVIJBJcunTT5PGYmNFYvHi5yWOLFi1DTMxoUJQahw4dw+efz8Dly/koKCjG9Okz0a1bDxQWluHatTsYNmwEEhKScfcuhby8GxgxIgZjx443e01Xr95G3779MXr0GBQVKXD27J8YNWoMBg4cjBMnfkPXrt1MOoSlpXT3dPjwkfj22x0ucB3hvSIlTBEg9IAS+2QlckylpSps2vQtWrdujaFDh+Hq1RswBkVDV1H8C1U+JfS+oJiSyxUOdBWZcUDxXz9fcnUnUSHE185kY9ddVznm7vxZhMUvZloFwq/edmxs9P/8suwCwX4+iWj78AYWBv0fWYv/jsrBzz/dFPwYUKnU7I0xPv59odxEmRB348eYDuHt20Umj3/wwYfsnh4jukM4CUVFCoSEhCI39yT7saIiBYKCgpCZecDi1z5+/DR8fX1RUFDMPpabexKRkVH497+nst2/2bPj4e/vj4sXr6K4WIlvv90BiUSC4cNH4sqVW7h06SYOHjwKmUyG7OxDol8veLNICVMECD2gxD5ZiexXcbESU6Z8AolEglmz4s3CbZvrKjY1fuouMnZSdZV9QaFlbB6jVFbYOA7IT86dWHJ3J1EuJFbGIN3Jbno/ljnmjEdQuTrmzqXfRHwL613CJXbuEi5+K9vuwPnAh9ezMOjXYi0WT89FYaEwcRLG8hQYpCjaKEYikeDatTvsYykp6WZdQ4pSY8GCJYiNHWfyWGzsOCxatAz5+fcgkUhw5MiP7MeYMdGcnCM4deoc5s1bZDK+efToCfj7++PePTkoSo2EhGQEBQVh9eoNJl9j4sSPIZFI0K5dOwQHB0MqlUIikcDX1xf+/q0xYMBA9Os3wGwHkUh4kRKmCBB6QIl9shLZrytXbqFbt+7YtSvNzs+tgAEWzUHRXbqK7rYvyIc0GuMxWevPk8vpcUC1WmNjzp37mIwwXTFv6A5b/tm6Zsag5U42d9mKxsr5/AxnbqOLOh6yK3C+zcPrWBBs/8Jm7NuVJ8r3m+mQW9ob5UL03wthd96GDh2OyZOnoKCgGBcvXkWvXtGsUYyxzpzJQ0BAIFJSMliX0YCAQJw9+yf77wwcOBjXrxegsLAMc+YsQOfOXfDXX6W4dOkmpFIpVq1ah6IiBfLybmDQoCH47LPpoCg1Vq5cizZt2iAn5wj7tQ4dOoY7d4qQk3MEPXtGs46hhw/nQiKRIDf3JPr27Ydu3Xqwu4oUZXAkJRJepIQpAoQeUGKfrESuIvfoKnravqAjqqpiQMg58xjLOXfCdXgclbc7idI/O0PGoFLpPhmDhmOusolsxQdWsxWNpVRWoK5Wj61djlkEwq//ZXse4ayWaRj1dIpNMBjtsx3+Rl3BYR1TcOlioSjfT8ZEiK8OuRgwSFFqXLt2B5MmTYZMJkP79h0QHz+fjWiQSqUmoe45OUfQp09fSKVt0atXtMmI5rVrdzB16qcICwtHaKgMY8eOZ2GRomjTmcGDh6Jt23Zo374DZs2KQ2FhGWbNiodEIoGfnx+kUimCgoIgkfhCIpEgICAQQ4cOh6+vL+Lj5+Po0ePYsyeT3SE8evQ4IiOjMG7cB7h7l3KBv+3eLVLCFAFCDyixT1YiV5frdBVJR0iJ2lphQMjUZMTWDg//XUXiJGqIFPA0Ax1DtqLWarYiY6ZUU6Nr2Butw90rJVb3CRe/vs82MxmZbWYy7/oksDDo/8haLPi/H1BcLBfl++WpMCi2Zs2Kg0wmMwmPLy2twIULV3DmTB42bdqKdes2wdfXF76+vujduw/atGmDLl264qOP/o38/Hs4cuRHtG/fAUOGDEVRkUL09+TNIiVMESD0gBL7ZCVyZwnTVST7gkzItMxZ8UwAACAASURBVPgdIctdxcYdHn6iC4iTqGFXjC8XSVdU44gWZkzW+Ji7+X2RxX3CjRG2jY1+Edj8/mA3n60sDIa/tAUH9l4S7Xui0WgB8BcxQ/9OF/vvi/CaPn0mQkNl+PXX86AodZMwN336TMycORuXLt1Eamomvv56DTIy9oOiaIDct++QmQMqkfAiJUwRIPSAEvtkJfJEcddVvHPnL9TV1TXsC7rPaByXoncmaSdHVwYhW6MLHNkbMziJeg8INRbTEdLp+NkVcwcxIMR0xYwjWr7733kzIFzT+mCzMLjwtX0Y0AwMdvL5Fv6P0DD4fpc9uHpJvIgfxkiJr0kJb4XBTz+dhvDwcPz220VQlCkMZmUdxIULV0yeP336TPTvP9Ds3yEZg64lUsIUAUIPKLFPViJvkjEoNt1VpKhyfPPNFvj7++P48RNeCwHMzmRNjc5toyPkclv2xuot7I2p2O8BAFRXey8IETdVBbRaBoQsd8VKS8qxOco8n3DRa02Pja7o9H2TMNjR5xv4P7IWrR9dh2UzfhQ8W9DS94DreBFG3gqDcXHz4Ofnh4sXr4KiTMPlv/pqNSIiIvHLL7+DogwGMUlJKaxBjdivn8i6SAlTBAg9oMQ+WYmIaBlAsbCwGFOn/hcSiQQLFy5CUREFVzG1EVLesDNp2Bursrg3xkCjXq9HVZXjbpTuLMZEiC8IcAdVVVU3fA+0TT6v4FKx2T7hhojDVmHwfy32YNwLe6zCYPuHNsH/kbWIfPVbHMu5JupNGeZ7oNE0/T1wVN4Kg3/9VYr33x+N3r37YPv2nSaOoMuXr4RMJmOdRo2VnX0IAQGBuHLltujvgci6SAlTBAg9oMQ+WYmIjJWXdwN9+/ZHYGBgQ6yG7V1FsS9auZJxnIA3u2gy3wOdrhY6nc5GN0rXHal1RIx5irceB2VlClRX2/c9OJdhmk+4yj/Hencw2HLURD+fRIQ+sgl+Ldbig95ZkJdqjY47c+ddvo875qaARsPPceCtMMiMd165cgsffvgR+vUbgG3bkkBRaixZsgLt27fH4cO5Zp/3ww8/4+jR4zh37pLo74GoaZESpggQekCJfbISERmrZ89e6NSpM06ePGPD8z0PFBWKCpcwjxFTxk6ilvL1mnOjZHYVdbpaVFVVQ6OphEqlRnm5+3QVXTVjUGgx8SL2mknlfP67SZdwwUtZluMm2uVYDJwPeWwjWj+6FivjT4Ciytk8z4oKOs+Tcd61tCOr0+lMjjtnu9nV1TW83hTwVhhkxHQE8/JuYNy4CRgyZChGjx6D8PBw/PTTKbPnL1y4FMHBIbhy5RYoiuwMurpICVMECD2gxD5ZiYiMlZv7C27evOvkv+M6URn2iDFOoc1j3AdeuJSxk6i9XRdTN8rqhkB0xzLuxJS7ZgxyKQaI6+sdA2KqtBzfdDpi5DZqPjY678VMDHw42QQG3/PZgdAnNiH8pS344cA1G39e9mQr6uw67pgOMR/uyvTvRO+GQUYMFF64cAVjx46HVNrWxCGU+fjChUsRFBSEH374WfTXTGSbSAlTBAg9oMQ+WYmIhJVrdhUZ05CaGu81TuHTSdS2jDvjrqJWlK6ip2YM2qPycqVR1qTjQFxwuRhL/kHvE65uc8AMCJdHmGYP9vbZgdC/b0Js9zTkXy/m6birtZqtWFVVY3TcqaDTERgUUgz0nT9/GaNHj8GQIcOQlJTCfjw+fj4CAwNZc5niYqXor5moeZESpggQekCJfbISEbmGxOsqeoN5THMydlMV8uva0lVkurZ0XAZ/XUVvzBhsLKY7qtfXc7KXx+4TPpyK+S9mGoDQJxUfvpLGwmBPnwR0eO4brJn3MyiK/xtCjbMV6eOuzuy4M49pqXD62CAwaF3M+Odvv11ETMxoDBkyDOnp+zFnzgJIpW3x668XQFEEBt1JpIQpAoQeUGKfrEREri9+uorGe2J8dAHcRYxhhqsBMZ1xZ2t3p9qku2Pv1yIZg4buaF2dntPObM50ep9wQ0dDSP1y6UEDDLZIQLc3E/DTkRuifw/kcgU7KqvVVtsZ09L8TQpvh0Fr+37GjzP//9Spcxg1KhZBQUEIDZXh/PnLoCgCg+4mUsIUAUIPKLFPViIi95XjXcVTp35DfHw8qqqqXW6HTciLX8Y0xJ1cNC13d5ruKhq6O+b/HskYVECpVLOQw3V3lNknXB1oGBuNlx1Af58k9Pn7DsR22Yvb+SWifw8Me5PWR2VtiWlhRp9v3LiJ7dt34MiR73Hp0lWUlJQ3/L7i9vfg9esFmDBhIoKDgyGTyTB79hyTUHdjZWcfQnR0bwQFBeHdd3siK+sg+7HCQgrTp89EWFg4goNDEBMzCqdOnWM/npKSDn9/f0ilUlZTp37CfnzLlgR0794DUmlbdOvWA5s3b2M/VlKiglQqRVBQEPu/QUFBbO5gYzFQePz4aUyePIWNliAw6H4iJUwRIPSAEvtkJSLyTFnvKqalpSMoKAjDhg2DK5rbCKHmnETdVXRXUQ2NRouqqpqG7o71nTGdrg6A9bB1bxAzKqvT1fKW81dwuRhLX87EvOczMOeZDAx+dCcGvZKM5V/8JPr7LyujYZA5Hxy5QWRp9DkrKwtt2rSBRCKBRCJBYGAgevd+D5MmTcbChUuRmLgbP/54CvfuyZ36XTdiRAymTPkEd+9SuHDhCnr1isbq1evNnnfu3CUEBAQiPX0/iooUSEnJQGBgIC5fzgdFqTF37kKMHPk+8vMLcf9+OeLi5qJLl67s58fHz8enn06z+BrS0/cjODgEubknUVpagdzcXxAcHIK0tCxQFN3ta9OmDe7fL8fcuQswZMgwhISEonfv97Bu3Sb237HUKWQg0BrkErm2SAlTBAg9oMQ+WYmIvEUlJSosXfoVJBIJpkz5LwoLi+EuDqhcyhknUXeVXK4w6yrW19db6CrqLXQVPXefkBmVFWJ39HzmTWyIOIwVHb/D+KC9OJJ5RfT3X1ZmMNHham/SWCUlZbh48TIOHTqC9es344sv/oeYmFGIiIhkQXHGjNkO/047f/4yJBIJG8FAUXQnLyqqk9lzFy5cilGjYk0ei40dhyVLVoCi1Bg/fgKGDx+Jmzfv4t49OebMWYDo6N7sc4cPH4lNm7ZafB2bN2/DypVrTR778MOPMGtWPChKje3bd6J//4GYNSseHTtGIDU1EwkJSZg9ew78/PywfPlK0f8+EPEjUsIUAUIPKLFPViIib1BpaQU+/vg/kEgk+Oqr1RZ2WYzHT13LAZVL8ekk6i5qnDFo2lWstthVbByGrlJp3N6FVKOhw96FHJU9svACVo3PRf71+6K//7IyYxMdflxl6d8flsdECwpK8MsvvyM/v9Dh32sZGfsRGiozeez06fOQSCS4deu+yeMTJkxCXNw8k8fi4uZhwoSJoCg1jhz5ETKZDBKJBP7+/ggLC8fvv/8BimJGPttizJhxiIrqhIiISEybNgP5+fcsvq6rV29DJpMhMXE3iooU+OKLWejWrTuCgoIQHByMYcNG4IcffsadO0VYvXo9fH19kZmZI/rfCSLuRUqYIkDoASX2yUpE5A0qKCjGwIGDsXdvtgOf7xmgKJaTqCvJeFTWlkgF4zB0a06Uhq4id06UfEurpfcmhR6VpahyCOEiaosUChX0eiZihPufV1MwyJWSk1MRGRll8tiFC1cgkUhw6dJNk8djYkabZPtRlBqLFi1DTMxoUJQahw4dw+efz8Dly/koKCjG9Okz0a1bDxQWluHatTsYNmwEEhKScfcuhby8GxgxIgZjx443e01Xr95Gjx7vonv3HuyYZ1zcPIwfPwFt27bDoUPHsHr1BkilbXHx4lVcv16AIUOGYebM2SgtrSBB8x4mUsIUAUIPKLFPViIiIkdlravoeuOnruokKiwAcJcxaAhD15o4URqXqROltsGJUvyuYlVVNQCgslIr+msR71hQsY6qfMC7EDBIUWrs3ZsNmcxyh/D27SKTxz/44EPEx883eYzuEE5CUZECISGhyM09yX6sqEiBoKAgZGYesPi1jx8/DV9fXxQUFLOP5eaeRGRkFIYOHY4uXbriq69WY9KkyTh79s+GvcJgpKZmgqLU6NmzFzZt+hYUpcbo0WMwffpMF/idTsS1SAlTBAg9oMQ+WYmIiPiQa3QV3dVJlGupVGrU1wszKst0FU2dKF2jq1hTo/P6Y4HZoa2r4+dYEAoGKYo2ipFIJLh27Q77WEpKulnXkKLUWLBgCWJjx5k8Fhs7DosWLUN+/j1IJBIcOfIj+zFmTDQn5whOnTqHefMWmXTvjh49AX9/f9YUJyEhGUFBQVizZiNu3bqPWbPiERwcjNatW2Pu3AX45ZffMWnSxwgPD8eJE7+ha9duSEhIQn5+IQYNGoING7a4wO9tIq5FSpgiQOgBJfbJSkREJKQcj8qwV7RZRp3HOYnaK0PGYK2or8PQVay0Md+O264ic2PAmzM3aRjk78aAkDDIaOjQ4Zg8eQoKCopx8eJV9OoVzRrFGOvMmTwEBAQiJSWDdRkNCAjE2bN/sv/OwIGDcf16AQoLyzBnzgJ07twFf/1VikuXbkIqlWLVqnUoKlIgL+8GBg0ags8+mw6KUiMtjXZUzck5gpISOmfxiy/+h/bt2+Pdd3uiZ89eGDZsBH799QKGDh2ONm3aIDAwEHPmzMeAAYMwePBQF/jdTMSHSAlTBAg9oMQ+WYn+f3t3/tbEvbdx/L9JoAXCFgRJUBBlkSoKolgXFEVRqbS4FcqiuFRt0apHtMfSg1ixglq07pRaHreKiqKyCLIFAhkVJC61dbmfH9KMRDC4QAYy9+u63tfzdBIw4XTO4eN3Ml/GBkv9t6rY2tqOZ8+eyepOor01VPYY7H1/O8tVRdP+dn/jyRPzqqLxrYaaV/vrvZT1XwwM9PYaUgyDgmBEdXUD4uLioVar4eU1DGlpq8StGlQqFfbs+Vl87pEjJxEaGgaVyhVBQcEoKjpm8X0SEhLh7e0DT081Zs6cJQ6LgmC66czEiZFwdXWDl9cwJCenQqe7C0EwIiQkFA4ODhZ7FDo7OyM+fiGWLUvGqFGjMW5cOIYN84ZKpYKvrwbBwaGYOnUakpNTxT+D+wzaX2QbHAjtgNQnq9yqqWmCv38ATpwoeeNzrG3e+/oGu+aamgySvzdmr73bquLhw0egUqlw/PiJQX9zk4HM/Fm5ofy5SdP+dkYYjW+7qvjEYlXRvKXC295Ex17rPgwOxPeXahgcjL1+U5jy8kp8/vkSjBkTjG3bdojH29sfWOwtyH0G7TOyDQ6EdkDqk1VOFReXwt8/AAqF4o0DYV+b9168eFXcYFfq98NY91VFg6EDW7duh1KpxIIFC6HT6TFU7oDa38nhs3K9ryq+2i7j5cuXYn/99RQPHz76d5sNef0lgXmrlYG6uy6HwTdnHg7LyyuRmJiE0aPHICUlHTExsbh69VaP5zH7i2yDA6EdkPpklUu5uXuh1fohP7/Q6kDY1+a95g12pX4/jHVPr+/A8uUpUCgUWLlyDdrbzb+kDvxnFQdTr+8xKPXrkepnYDQ+wosXL/DixYs3rCq+7GVV0f5WEM2fH+UwODCZPy/4er0NeJcv38CyZckIDBzd4+Y2zH4j2+BAaAekPlnlUlVVvXhJirWBsK/Ne5ctS0ZQUDDGjQuHl5eXuMGu1O+PybvU1Aw4Ojpi167ct3j+4LgDan/3rnsM2mudnW++o+qrVcXHb1xVNH1W8R88efIXHj58PGRXFc3D4EB9flTuw6D5f0/1+g6Ull7EiRMlKC29aPVrmpoMqKqqF/+Znxm0/8g2OBDaAalPVjlmbSDsa/Pe1NSV+PzzJbh1qw46nWCxwa7U74vJt+LiUos9xN4v290Btb/rzz0Gh3IPHjx8rxunmD6r2AWj8REeP/4LT5/+jWfPLFcVTdtlPMPTp38P+lXFhw8fAwCePPlrQL6/3IdB88pgY2MbIiIiMX58OPz8RsDDwxOZmevErSje5nsw+45sgwOhHZD6ZJVj1gZCa5v3vun7jRkTLG6wy5j91X1QHHyrirbcY3AwN1CXR96///qq4j8Wq4oA8Pz5i15WFaUZzM13ln38mMPgQKbTCQgL+wSzZ89BbW0zqqsb4O8fgPHjJ6CurkXy18cGR2QbHAjtgNQnqxyzNhBa27zX/PjZs5csHjdvsCv1+2LM9kk7KA6WPQalzrwiZsvtNSxXFZ/0uar4+PGTf7fL6BqQbR/u3u3A48emYfDRo4G5syyHwVeVlJxDePhE6HQCBMGIhITFCAoKxuXLN7Bt2w4cO1Ys+Wtk0ke2wYHQDkh9ssoxawNhWZn1zXtnz56DSZMmo6qqHi0t97B+/bfw8hqGujqd5O+LscHTwF9+OlT2GBzozEPQQK2IvU/37z/AgwdGPHz4GE+e9LWq+LRfVhXN24w8evR4QN4Th0HLDh8+gREj/FFb24z4+IUYMyYI5eWV0Os7EB09DUlJyyAIvIOo3CPb4EBoB6Q+WeXY6wPhu2zeW1enQ2JikrjB7pQpU3H+/BXJ3xNjQ6cPW1Vsb7+L/fv34+HDh0N6j8H+6MmTpwAGbgjq7+7d6+hlVfFZL6uKz99pVdH8c3j4kMPgQGS++Uv3z/2VlJyDRqNFaGgYQkLGorLyjvhYdPQ0ZGauk/x1M+kj2+BAaAekPlmZ/VRT0wR//4A3rn4KghFFRccQHBwCFxcXjB49BocOHe31eT/8sBsKhULy98TkVN+rii0trYiPj4eDgwMuXSqTfMCRMnvba9FyVfGvf7fLsFxVfPHiBf75x3JV8enTpwP6c5D7MGgeAq9fr0Z6eiYyMjJRXl4JQTDiq6/SoVQq8f33P4p3HT158nf4+AzH/v2HJH/tTPrINjgQ2gGpT1ZmHxUXl8LfP8Dq5bBXrtyEk5MzCgsPi5fDOjs749atOovnXbxYDpXKlQMhG0R1oba2ERERkXB2dsGRI0cxWG5qI0V///0PXr58ia6uh5K/loHu3j3TXWSNxofvsar4YTcZkvswaK68vBKenmqMHz8Bbm5u8PMbgWPHiqHTCVi48DOoVCqEhY3DrFmx8PRUi/v2Mka2wYHQDkh9srKhX27uXmi1fsjPL7Q6EK5e/TU+/XS6xbHp02Ms/se7uVlAcHAIVq/+mgMhGzRdv16NwMDR8PLywu+/n+/22NDdKuP9hqPOf/cOfIkHD4ySvx4p+/tv0wrpo0dP3mpV8a+/nuLRo8fo6nr4Vp9VlPsw2P3y0J07c5CcnAqDoQstLfcQHj4RI0aMxMmTv0MQjPjxxz1ITk7F2rUbUFh4uNfvweQZ2QYHQjsg9cnKhn5VVfXi5TrWBsLY2Dikpq60OGbaUmOu+M+JiUlYtWotTpwo4UDIBk2JiUkYOdIfV67cfIevG7xbZbxP9+934tmz53jx4gU6Owfn/n+2GwZNK6TWhuKOjq5/t8t4gr/+evOq4qNHj/Hf/+5CXt4enDlTirq6hn//nRmYYbCmphGxsXPh7u4OtVqNlJR08b+/X8/aJf46nYClS1fA29sH7u4eiI7+1OLz7Pn5hXB0dIRKpRJLSFgsPv799zkYNSoQKpUrAgICsWPHD+Jj7e0PsHNnDjQaLT7+2AkeHh5YvPgL8XG9vgOhoWEYMcIfv/32f72+dg6DTBA4ENoKB0I7IPXJyuwrawNhdPQ0rF27weLYmjXrER09DYJgRF7ePoSHT4Re38GBkA2qGhr04u3tP7yht6p4//4DPH/+HM+fv0BHhzT7+w2G7t3r+PeOpS/R2fl+K6T373dafFaxo6MTn3zyCZRKJRQKBRQKBTw91YiIiERiYhKysragsPAwrl2r6pd//yZPjsaiRYvR3CygvLwSQUHB2Lx5W4/n9XWJf0bGakyZMhV1dTq0tt5HamoGRo70F78+LW0VEhOTen0NhYWH4e7ugZKSczAYulBSchbu7h7i5/5yc/fCw8MTLi4u8PXVQKFQQKlUip8dFAQjWlvvIzQ0DFqtH44f/w2CwDuKsp6RbXAgtANSn6zMvrI2EM6ePQdpaassjplWCONw+XIFfH014i89HAiZ/Oo+KA6eVcWOji68ePECz549x/37H/aZuKHcq8tlB2aFtKVFjz//vIL9+w9iw4YsJCQsxvjx4XBzc4NCoYCDg0OPz1u/a1ev3oJCobC4I2d+fiG0Wr8ez+3rEv9Zs2IRFTUFtbXNaGm5h/T0TAQHh4jPjYqaguzsXb2+jh07fkBW1haLY3PmzENycioEwYgxY4IQFTUFmzf/B7W1zfjmm83w9w/AokWL0djYLn5NU5MBGo0Whw+fGATnLxuMkW1wILQDUp+szL6yNhBmZq7D9OkxFsemT4/BmjXrsXHjJri4uMDd3R3u7u5QqVRQKBRwd3fHnj37JX9fjEmbNINiZ6cRL168xD//PPvgG6QM5e7d68SzZ6ZhsKNjYC6XfdNlogZDFyor6/Hnn9c+eAXswIHD8PRUWxy7cOEqFAoF7txptTje1yX+J0/+DrVaDYVCAUdHR3h7++DSpesQBNPlmiqVK2bMiIFW6wdfXw2Skpajrq6lx2v69tst2Lo1G2q1Grm5e3HmzAUoFAoEBo7G2LGfwNNTjQkTIvDFF0sREjIWn3++BDrdXfHr33S5K2OCwIHQVjgQ2gGpT1ZmX1kbCMvKKuDk5Iz8/APiJUhOTs64fPlGj+dyhZCxt2ngVhW7uh7i5cuX+Pvvf6zuwWfvdf/s5EBdLmv6z27g/33Jy9sHjUZrcay8vBIKhQI3b9ZaHO/rEv9jx4qxZMly3LpVh8bGNixdugIBAYHQ6e6iuroBkyZNRk5OHpqbBVRU3MbkydGYOXOWxffT6zsQFzcfQUHBmDZtBvT6Dhw48Kt46WxBwS9obb2P7Oz/wsVFha++ykBY2DgkJCSKg6B5SObloqy3yDY4ENoBqU9WZl+9PhCqVCrs2fOz+M9HjpxEaGgYVCpXBAUFo6joWK/fhwMhYx/a+w+KhYUHsH37djx9+rfkA5m0w+Crz06+zZ1BB/MwKAhGFBQUQa3ufYWwvl5vcdzaJf56fQc8PDxRUnJOfEyv74CLiwsOHvy11z/7jz8uQKlUorGxDYJgRGzsXGRmroVGo8GCBQk4dqwYeXn7cPt2MxQKBYYP90VAQCCam02f3R0zJhjbtu1ERsZqBAUFi6uRjFmLbIMDoR2Q+mRlbLBXU9MEf/+AN658CoL1u/HV1bVg0aLFUKvVcHV1Q3T0pzh3rkzy98XkmvWb2mzfng2FQoE1a9ZIPpBJPwy+wPPnz+1iGBQE041iFAoFqqsbxGP5+YU9Vg0Fwfol/nV1LVAoFOK2D4Lw6jLRI0dO4vz5K1i5co3Fqt3p06VwdHRES8s9LFq0GK6ubnB2dsZ3321HU5MB0dHTEBQUjPz8Axg2zBupqSsREBCIoKBg6PUdCAwcjezsXWhqMvTbDXaY/Ue2wYHQDkh9sjI2mCsuLoW/f4DVS2H7uhvf3LnzMGtWLO7caYVe34FVq9b2ehMHxqTMYOgS9/9cvXotDAbzXnhDd6uM962j48GA30jH1sOgucjIKMTHL0JjYxuuXatCUFBwrxu5l5VZv8Q/MjIK4eETUVPTCJ3uLtLTMzFixEg0NRlw82YtVCoVNm3aCr2+AxUVt8XPASYkJMLT0xMfffQxjhw5iba2TgiCEX/+eQ3Tp8dgwoQIxMXFY9gwb+Tk5MHPbyQ0Gi1UKtcPvqkOk19kGxwI7YDUJytjg7Xc3L3Qav2Qn19odSDs6258en2HeBOEuroWLFv2JT75ZLzk74+x7i1fngKFQtHrFgRDcauM9x8GzXdVHbgb6Ug1DAqCEdXVDYiLi4darYaX1zCkpa0Sh7J3ucS/uroBCQmJ8Pb2gaenGjNnzrL4PPjJk79j4sRIuLq6wctrGJKTUzF//kIolUp4e/vAwcHBYo9ClUqFefMWIDr6U0ycGIHFi7/AqFGBcHJyhlLpgJCQsZKfI2zoRbbBgdAOSH2yMjZYq6qqF29cYG0g7OtufOYyM9dBqVTCzc0Np0+XSv7+GDOn0wkICBiFnJy89/j6wbdVxvvW2WkaBgfqrqqmn4s8N0yfNm0GQkJCsXDhZ1CpXJGTk4emJgMEwbQ6bd5I/uzZS5g8ORqRkVH45RfTAHr8+G+4ePGq5O+BDb3INjgQ2gGpT1bGhkLWBsK+7sZnTqcT0NJyD1u2bIdKpbLYZJkx+2torSo+eGDEy5cv8c8/A3NXVTkPgzExsf/egdR0g5hFixZDpVJh9+588ZjB0CV+5vCPPy5gypSpCAkZi2PHisXvYx4aGXvbyDY4ENoBqU9WxoZC1gZCa3fje9P3GzMmCFu3Zkv+vhiTpsG1qmgeBv/++58B+f5yHgZbWu5hw4Ys8e6i5ubPXwg3Nzf89NN+8ZL67kPhqVNnEBMzGzdu3Jb8PbChG9kGB0I7IPXJythQyNpAaO1ufIJgxMSJkfj554MWj48c6Y/c3L2Svy/GBle2X1U077c4UFtsyHkYfD2DoctiI/nY2Dh4eHhi376DaGm5B0EwrQKah8Lux6R+7WxoRrbBgdAOSH2yMjYUsjYQlpVZvxvfV1+lY8yYYFRU1KCl5R7WrdsIX18N6upaJH9fjA2Nug+K/beqaDTaYhjkhumvZ76JjSAYMWNGDLy8vFBQUITW1vsQBA6ArP8i2+BAaAekPlkZGwq9PhC+y934WlruIS1tFXx8hkOtViMmZrbF3fik7kP3WdTp7iIlJR2+vhq4ublh/PgJVr8XY/3b+w2KP/20F3Fxcfjrr6ccBiWo+0rh1KnT4OurEf9STerXxuwnsg0OhHZA6pOVMSZd/bHPYkpKOsaNC8eNG7fR1taJXbty4eLigooKfvaHSdmbVhU7kJ29EwqFAhkZKzkMSlj34S8oKBhRUVM4ELJ+jWyDA6EdkPpkZYxJU3/ts7hkGOoLyQAAFgFJREFUyXIUFR23eNzDwxMFBUWSv0fGXi8rawsUCgXS01fBYOi+otg/N7XhMPhudR8AGxvbJX89zL4i2+BAaAekPlkZY9LU3/ssmjt+/Dc4ODjg2rUqyd8jY9379lvTMLhu3UbxxiWWfdhNbTgMvl/dP1PY/f9n7EMj2+BAaAekPlkZY6ays3chJiYWR4+esvkvRf2xz6IgGFFScg6enmps2JAl+c+TsddLSlr2Adu9WP+soikOg4wNpsg2OBDaAalPVsaYqYiISVAqlYiJiRU3a+5eSclZ5ObuHZAN7ftjn8UfftgNlUqFLVu2S/6zZMx2dV9VlPq1MMa6R7bBgdAOSH2yMsZM+3NpNFqEhoZBq/Xr9TnjxoVDqVRi+fKUfl9B/JB9FtvaOrFkyXJ4eXnh6NHTkv8sGWOMMUHgQGgrHAjtgNQnK2PMiKYmA0aO9EdS0nL4+Pigqqre4vETJ0rg4OAAjUaL7du/F4+3tz+AXt/xwQPih+yzmJycCo1Gi4qKGsl/jozZUzU1jYiNnQt3d3eo1WqkpKS/8S6c1reGEbB06Qp4e/vA3d0D0dGf4vz5K+Lj+fmFcHR0hEqlEktIWCw+/v33ORg1KhAqlSsCAgKxY8cP4mPdv0alUsHZ2RkKhQI//bRf8p8fY2QbHAjtgNQnK2PMiGvXqhASEoqNGzchImIS9u4tEB+7cuUmkpPTEB4+EWPHhmHPnrf7RautrRMGQ5eYtee+7z6Lt283w8HBAR999FGPXwy7fz1j7N2bPDkaixYtRnOzgPLySgQFBWPz5m09ntfX1jAZGasxZcpU1NXp0Np6H6mpGRg50l/8+rS0VUhMTOr1NRQWHoa7uwdKSs7BYOhCSclZuLt7YP/+Q70+PyEhEdOmzeT2EWxQRLbBgdAOSH2yMsaMOHr0NMaNC8eRIycxY0YM1q//Vnxs06atWLRoMTIz1yE4OASnT/+B9vYH2LPnZ8yaFYt58xYgJ2c37txplfx9DMZqaprg7x/wxhVQQbC+utK95OQ0LF78heTvidl/V6/egkKhQGXlHfFYfn5hr5eU97U1zKxZsYiKmoLa2ma0tNxDenomgoNDxOdGRU1BdvauXl/Hjh0/ICtri8WxOXPmITk5rcdz//e/n+Dj44Pa2mbJf36MCQIHQlvhQGgHpD5ZGWNGbNmyHdHR09DUZMDUqdOQmpoBQTCisvIOIiIm4aef9mPDhixEREzCqVNnEB+/EBqNFitXrkFq6koEBQVj9eqv0dJyD4JgRF7ePnz99Tc4e/YSDh06inPnyvr8G/v29gd9riQOtYqLS+HvH2D1kti+VlcEwYja2mYsWrQYCoWCAyGzSQcOHIanp9ri2IULV6FQKHr85U9fW8OcPPk71Go1FAoFHB0d4e3tg0uXrkMQTOe9SuWKGTNioNX6wddXg6Sk5aira+n1ddXUNEKtViM3d6/F8fp6PTw91cjPL5T8Z8eYObINDoR2QOqTlTFmRHz8Qnz22ecQBCOWLfsScXHzIQimfdPmzp2H5mYB8+cvRGJiEpKSliMwcLR42aYgmDaZd3Jyxs8/H4QgGJGSkg6lUok5c+YhKmoKVCoVwsMnWnxuSBBMq2c1NY0Wx9rbrd8tcagMjbm5e6HV+iE/v9DqQNjX6kpjYzvUajVWrEhBXNx8DoTMJuXl7YNGo7U4Vl5eCYVCgZs3ay2O97U1zLFjxViyZDlu3apDY2Mbli5dgYCAQOh0d1Fd3YBJkyYjJycPzc0CKipuY/LkaMycOavHa6qqqkdY2DhMmzajx18wbdiQhbCwcUPmvx+YPCLb4EBoB6Q+WRljRgQEjBJ/odu7twAjR/qjqckAH5/h+OUX0+AXEjIWq1atRVjYOCQkLEZTkwGC8GpA02r9xDt/xsXNh6urG/Ly9qG9/QGuXLkJb28ffPVVOlpb70MQTAPTrFmx8PDwhKenGomJSaiuboAgmFbEyssrLX65621QNK8qtrV19jlI2rqqqnrxl1ZrA2Ffqyt6fYf4c1m8+AsOhMwmFRQUQa3ufYWwvl5vcdza1jB6fQc8PDxRUnJOfEyv74CLiwsOHvy11z/7jz8uQKlUorGxTTxWUnIOGo0WCxYkiFcimDMYuqDV+vVYNWRM6sg2OBDaAalPVsbknl7fAY1Gi++//xGCYPqlz8HBAZs3/wehoWEQBCN0urvQav2wfv23CA4OQWrqSnEAM/9fX18NMjPXQRBMw+Prg8uMGTHiL4gHD/4KX18NvvtuO6qq6lFaehGRkVGIj1+ElpZ7OH/+CpRKJQoKfhFfoyAY8dtv/4eysop3Gv4Gw6Wo1gbCvlZXuseBkNmqK1duQqFQiH8ZIQimzxC+vmooCNa3hqmra4FCocDJk7+Lj5kvEz1y5CTOn7+ClSvXWJyjp0+XwtHRURz8cnLy4OLigu++632P0TNnzsPJyRnNzT33T2VMysg2OBDaAalPVsbk3u3bzXB2dhbvylleXglXVzeLv3H/889rGDFiJLZt24m5c+dh1qxYCMKrYbCysh4ff/wx8vL2Qae7C19fDTZt2ir+Ge3tDzB5crR4J8GoqCkICxuH0tKLaGjQ//s97kClcsW5c2UQBCNGjvTHxo2bxD9Dr++Au7sHUlLScfHiVfj5jUBR0TFs27YTGRmZKCo6Dp3u1S+EUg+B3bM2EFpbXXn9uRwImS0z/yVNY2Mbrl2rQlBQsHgpc/fKyqxvDRMZGYXw8ImoqWmETncX6emZGDFiJJqaDLh5sxYqlQqbNm2FXt+BiorbmDAhAl98sRSCYMT+/Yfw8ccf48iRk298nVu2bEdExCTJf16MvR7ZBgdCOyD1ycoYM6Kioka8iUNNTSPmz18oXrIoCKbLSJ2dnVFUdAz/+99PcHR0RFHRcQiCaYBMSFgs3t3v0qXr8Pb2we7d+eLXV1XVY+zYMKxbtxFNTQZ4e/sgIGAUfHyGQ6VyhZeXF0aPHgOlUilueZGYmGSx6rB1azY0Gi0aGvQ4e/YSnJycEBISiq++SkdMzGyo1WpkZW2x+GzRtWtVKCj4BcXFpT0uc3u99vYHA3bZqbWB0NrqyuvP5UDIbFl1dQPi4uKhVqvh5TUMaWmrxD1H33ZrGPP3SUhIhLe3Dzw91Zg5c5Y4LAqC6aYzEydGwtXVDV5ew5CcnAqd7i4EwYiQkFA4ODj02FZm6dIV4tevWJGC+fMXSv7zYuz1yDY4ENoBqU9WxljfnTt3GRs3bkJ5eSUEwbSvmLe3D8LCPhH3J8zJ2Q1BMF1WFhAwCkePnha//syZ8xgzJgg//rgHFRU10Gr9xM2lb92qQ0nJWeTl7cPu3fniCmFOzm7xLoc3btzGyJH+2Lz5PxAEIwoKfoGDgwN27swRf0FNS1uFjz76SLxsrKCgCOPHT8D48eHw8RmOwMDRPe5AWFfX0uMGGb3V1tYp7qv4Pj8/awNhWZn11ZXucSBkjLGhE9kGB0I7IPXJyhjrmXnIelPt7Q9w8eJV5ObuxQ8/7LbYImHVqrXQaLQoLb0oHtuz52cEB4fgl1+OobX1PiZMiMC8eQssvmdJyTns339IvOzz6NFTGDHCH8XFpdiwIQv+/gHi6l9W1hb4+Ay3uET0yJGTcHFxQXV1A8rLK6HRaC0uW/3xxz3w9FTj1KkzEAQjrl+vRkJCIkaO9IeTkzPGjw8XVz3N9dfm1q8PhO+yutI9DoSMMTZ0ItvgQGgHpD5ZGWN99y6XU9bX63HhwlXxLqSCYPqMT2hoGIqLSyEIRmRn74K/fwCysragoqIGW7dmw93dAxkZq8WvOXeuDLNmxWL+/IWIi5sv3lBCp7uLxMQkREZGia9NEIzYvPk/GDFiJGpqmrBzZw6USiWSk1OxZ8/PuHjxKqqq6jFv3gJ8/vkSCILpMjM/vxGoqWlCeXklUlLSMXy4L65evQVBMOLSpeuIi5sPjUaLoKBgrF//rcVdD5mpmpom+PsHvHEFVBCMKCo6huDgELi4uGD06DE4dOioxeObNm2Fr68GLi4uiIqagsuXKyR/X4wx9qGRbXAgtANSn6yMsffLYOh6p0GxpeWeuOLW3v4A2dm7EBAwCq6ubggKCsaGDVmorLwDQXi1MjdnzjwolUqsWrUWVVX1EATTvnwREZOQlLRcfB2CYPrM4eTJ0WhsbENiYhI0Gi0WLVqMsWPD4OU1DO7uHlAqleKef8uXpyA0NExc3aysvIO1azfg2rUq3LhxG5GRUYiLi0dp6UVs27YTISGhWLEiRfKf+2CquLgU/v4BVi+JvXLlJpycnFFYeFi8JNbZ2Vn8uefm7oWvrwYXL5ZDp7uL1NSVCAoKHlQ3BWKMsfeJbIMDoR2Q+mRljElfbW1zr8eTkpZDpVLhzJnz4rHq6gYMH+6L7OxdEIRXA+HEiZHinQmnTZuB+PhXN5loabmHGzduo6TkHMrKKiAIphXIkJBQuLq6IS4uHkePnhYvlT179hLCwsZhw4Ys8Xv8+OMeXq7ZrdzcvdBq/ZCfX2h1IFy9+mtxCDc3fXqMeLfKiIhJ+OabzeJjen0HXF3drK44MsbYUIhsgwOhHZD6ZGWMSdObNpM3GLrEzevDwj5BRkamxWf5yssr4eTkjMOHT4jH9PoOqFQqbN68DYJg2sfPx2e4+HlBQTBdtpiWtgqVlXdw82Ytamub0dbWiX37DmL27Dlwd3fH119/I17qum7dRiiVSowbF44dO37A7dvN4p0PmenOseb/XKwNhLGxcUhNXWlxzLSthukutu7uHj02KA8LG4dt23ZI/h4ZY+xDItvgQGgHpD5ZGWODq4YGPVauXIP58xfCx8fnjdtFdL/xTUODHuPHh4tDYl2dDrNmxSI6+lNs3ZqN7Oxd8PDwxJw589DcLKCgoAhTpkwV75oqCMZ/90bzx/Xr1bhzpxWCYERp6Z/48suvMHr0GERHf4oLF65K/vMZjFkbCKOjp2Ht2g0Wx9asWY/o6GkQBCMcHR1x/PhvFo9HRkZZrM4yxthQjGyDA6EdkPpkZYwNrsrLK6HV+mHq1GnipaLv83myK1duIiNjNcaPD8f48RPw7bdbxOGyrKwCAQGjkJqagXPnLuPatSpER3+K4OAQtLbeR2rqSmzbthN6fQcaG9tw8eJVDBvmjZSUdHH1kr3K2kA4e/YcpKWtsjhmWiGMgyAY4ebm1uMmM6YVwp2Svy/GGPuQyDY4ENoBqU9Wxtjg6X1vJGIwdPW5Vcbr/frrKUyaNBkqlQq+vhrExc0Xt8pYs2Y9tFo/nDp1BgZDF6qq6uHt7YNly5Lf+c+RQ9YGwszMdZg+Pcbi2PTpMVizZj0EwYiIiEhkZW0RHzN/hvDYsWLJ3xdjjH1IZBscCO2A1CcrY8w+Mxi6oNd3vNWG8nV1OtTV6cR/bm29j2XLvoSXlxc8PdUYOzYMsbFze90snlkfCMvKKuDk5Iz8/APiXUadnJzFn2VOzm74+mpw7txl8S6jAQGj+m0PSMYYkyqyDQ6EdkDqk5UxJs/eZssMvb4DFy5cxalTZ3D7tulOqNwOoWevD4QqlQp79vws/vORIycRGhoGlcoVQUHBKCo6Jj5mMHThu++2Y8QIf6hUrpgyZSoHb8aYXUS2wYHQDkh9sjLGWG9x8GOCYERNTSNiY+fC3d0darUaKSnpb1y9/N//fkJg4GioVK6YMCHC4i63LS33kJGxGr6+Gri7eyA2Ng43btyW/P0xxgYusg0OhHZA6pOVMcasZTB0cTiUcZMnR2PRosVobhZQXl6JoKBgcXuT7h08eAROTk44dOgo2to6UVDwC1xcXHD5cgUEwYjU1Az4+wfg4sVytLbeR0ZGJgIDR/MmRYzZcWQbHAjtgNQnK2OMMdZbV6/egkKhQGXlHfFYfn4htFq/Hs+Nj1+IxMQki2PTp8cgI2M1BMEIb28f5ObuFR9ra+uESqVCUdFxyd8nY2xgItvgQGgHpD5ZGWOMsd46cOAwPD3VFscuXLgKhUIh7lVpLi4uHl9++ZXFsZkzZ2H27DkQBCO8vLywf/8h8bH29gdQqVyxdWu25O+TMTYwkW1wILQDUp+sjDHGWG/l5e2DRqO1OFZeXgmFQoGbN2stju/dWwA3NzecPPk79PoOHDhwGE5OTvj00+kQBCOWLl2BsLBPUF5eCZ3uLjIz18HR0RHffLNZ8vfJGBuYyDY4ENoBqU9WxhhjrLcKCoqgVve+Qlhfr+/x/O3bv0dAQCC8vLzw2WefIzExCfPnL4QgGNHUZMCKFSkYPtwXWq0fNmzIwtixYdi5M0fy98kYG5jINjgQ2gGpT1bGGGOst65cuQmFQoHq6gbxWH5+YY9VQ0EwoqqqHleu3LQ4Fh4+UbwBzeXLN1BVVS8+VlfXAicnZ/zxxwXJ3ydjbGAi2+BAaAekPlkZY4yxNxUZGYX4+EVobGzDtWtVCAoKxrp1G3s8Lz+/EMOH+6KiogY63V1s27YD7u4eqKlphCAYsWzZl5g2bSYaG9tRV9eC+PhFiIiYJPn7Y4wNXGQbHAjtgNQnK2OMMfamqqsbEBcXD7VaDS+vYUhLW4W2tk4IghEqlQp79vwsPvfrr7+Bj89wuLq6ISpqCs6evSQ+1tCgx4IFCfD0VMPTU42FCz9DbW2z5O+PMTZwkW1wILQDUp+sjDHGGGOM9XdkGxwI7YDUJytjjDHGGGP9HdkGB0IiIiIiIiKZ4kBIREREREQkUxwIiYiIiIiIZIoDIRERERERkUxxICQiIiIiIpIpDoREREREREQyxYGQiIiIiIhIpjgQEhERERERyRQHQiIiIiIiIpniQEhERERERCRTHAiJiIiIiIhkigMhERERERGRTHEgJCIiIiIikikOhERERERERDLFgZCIiIiIiEimOBASERERERHJFAdCIiIiIiIimeJASEREREREJFMcCImIiIiIiGSKAyEREREREZFMcSAkIiIiIiKSKQ6EREREREREMsWBkIiIiIiISKY4EBIREREREckUB0IiIiIiIiKZ4kBIREREREQkUxwIiYiIiIiIZIoDIRERERERkUxxICQiIiIiIpIpDoREREREREQyxYGQiIiIiIhIpjgQEhERERERyRQHQiIiIiIiIpniQEhERERERCRTHAiJiIiIiIhkigMhERERERGRTHEgJCIiIiIikikOhERERERERDLFgZCIiIiIiEimOBASERERERHJFAdCIiIiIiIimeJASEREREREJFMcCImIiIiIiGSKAyEREREREZFMcSAkIiIiIiKSKQ6EREREREREMsWBkIiIiIiISKY4EBIREREREckUB0IiIiIiIiKZ4kBIREREREQkUxwIiYiIiIiIZIoDIRERERERkUxxICQiIiIiIpIpDoREREREREQyxYGQiIiIiIhIpjgQEhERERERyRQHQiIiIiIiIpniQEhERERERCRTHAiJiIiIiIhkigMhERERERGRTHEgJCIiIiIikikOhERERERERDLFgZCIiIiIiEimOBASERERERHJFAdCIiIiIiIimeJASEREREREJFP/Dx1QB0U7DaXBAAAAAElFTkSuQmCC\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(9,6))\n",
    "ax  = fig.gca(projection='3d')\n",
    "ax.plot_trisurf(M0['Moneyness'], M0['Expiration'], M0['CallImpVol'], cmap=cm.plasma, linewidth=0.1)\n",
    "\n",
    "ax.set_xlabel('Moneyness')\n",
    "ax.set_ylabel('Time to Expire')\n",
    "ax.set_zlabel('Implied Volatility')\n",
    "\n",
    "ax.dist=12\n",
    "ax.view_init(30, 112.5)\n",
    "plt.title('Intraday Call Implied Volatility Smile')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(9,6))\n",
    "ax  = fig.gca(projection='3d')\n",
    "ax.plot_trisurf(M0['Moneyness'], M0['Expiration'], M0['PutImpVol'], cmap=cm.plasma, linewidth=0.1)\n",
    "\n",
    "ax.set_xlabel('Moneyness')\n",
    "ax.set_ylabel('Time to Expire')\n",
    "ax.set_zlabel('Implied Volatility')\n",
    "\n",
    "ax.dist=12\n",
    "ax.view_init(30, 112.5)\n",
    "plt.title('Intraday Put Implied Volatility Smile')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Everything looks good despite being a short sample of real market data\n",
    "# Now lets take a peak at all maturities at a given moment\n",
    "Snapshot = db[db['Now'] == '2018-04-17 14:30:00']\n",
    "Snapshot[Snapshot['CallImpVol'] < 0.001] = 0\n",
    "Snapshot = Snapshot.loc[(Snapshot!=0).any(1)]\n",
    "Snapshot = Snapshot.reset_index().drop('index',axis=1)\n",
    "Snapshot['Moneyness'] = abs(Snapshot['Strike']/Snapshot['Spot'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(9,6))\n",
    "ax = fig.gca(projection='3d')\n",
    "ax.plot_trisurf(Snapshot['Moneyness'], Snapshot['Expiration'], Snapshot['CallImpVol'],cmap=cm.plasma, linewidth=0.1)\n",
    "\n",
    "ax.set_xlabel('Moneyness')\n",
    "ax.set_ylabel('Time to Expire')\n",
    "ax.set_zlabel('Implied Volatility')\n",
    "\n",
    "ax.dist=12\n",
    "ax.view_init(30, 240)\n",
    "plt.title('Call Implied Volatility Surface at 2018-04-17 14:30:00')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# And now for the puts\n",
    "Snapshot = db[db['Now'] == '2018-04-17 14:30:00']\n",
    "Snapshot[Snapshot['PutImpVol'] < 0.001] = 0\n",
    "Snapshot = Snapshot.loc[(Snapshot!=0).any(1)]\n",
    "Snapshot = Snapshot.reset_index().drop('index',axis=1)\n",
    "Snapshot['Moneyness'] = abs(Snapshot['Strike']/Snapshot['Spot'])"
   ]
  },
  {
   "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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(9,6))\n",
    "ax = fig.gca(projection='3d')\n",
    "ax.plot_trisurf(Snapshot['Moneyness'], Snapshot['Expiration'], Snapshot['PutImpVol'],cmap=cm.plasma, linewidth=0.1)\n",
    "\n",
    "ax.set_xlabel('Moneyness')\n",
    "ax.set_ylabel('Time to Expire')\n",
    "ax.set_zlabel('Implied Volatility')\n",
    "\n",
    "ax.dist=12\n",
    "ax.view_init(30, 60)\n",
    "plt.title('Put Implied Volatility Surface at 2018-04-17 14:30:00')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So what's the purpose of visualizing all this data?\n",
    "\n",
    "To understand what we are attempting to do, implied volatility modelling\n",
    "consists in attempting to describing the behaviour of the implied volatility surface (or just the volatility smile of a given maturity) throughout time with the smallest prediction error possible (or at least in a way doesn't make us lose money)"
   ]
  }
 ],
 "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": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}