WELL_LOG_DATA.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib\n",
    "from matplotlib.pyplot import *\n",
    "%matplotlib notebook\n",
    "from scipy import *\n",
    "from numpy import *\n",
    "from pandas import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = read_csv(r'C:\\Users\\akabanda\\Desktop\\DATA ANALYSIS-PYTHON\\WELL LOGS\\6507_11_8 Sw & Phi3.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DEPTH</th>\n",
       "      <th>SW</th>\n",
       "      <th>PHIE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2416.0</td>\n",
       "      <td>0.2621</td>\n",
       "      <td>0.3297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2416.5</td>\n",
       "      <td>0.5196</td>\n",
       "      <td>0.0718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2417.0</td>\n",
       "      <td>0.4883</td>\n",
       "      <td>0.1794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2417.5</td>\n",
       "      <td>0.3582</td>\n",
       "      <td>0.2359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2418.0</td>\n",
       "      <td>0.2772</td>\n",
       "      <td>0.2601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2418.5</td>\n",
       "      <td>0.2809</td>\n",
       "      <td>0.2660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2419.0</td>\n",
       "      <td>0.3709</td>\n",
       "      <td>0.2334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2419.5</td>\n",
       "      <td>0.2762</td>\n",
       "      <td>0.2648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2420.0</td>\n",
       "      <td>0.3030</td>\n",
       "      <td>0.2424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2420.5</td>\n",
       "      <td>0.3210</td>\n",
       "      <td>0.2335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2421.0</td>\n",
       "      <td>0.3210</td>\n",
       "      <td>0.2462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2421.5</td>\n",
       "      <td>0.3498</td>\n",
       "      <td>0.2167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2422.0</td>\n",
       "      <td>0.4145</td>\n",
       "      <td>0.1484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2422.5</td>\n",
       "      <td>0.4258</td>\n",
       "      <td>0.1712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2423.0</td>\n",
       "      <td>0.7674</td>\n",
       "      <td>0.0532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2423.5</td>\n",
       "      <td>0.4234</td>\n",
       "      <td>0.1371</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2424.0</td>\n",
       "      <td>0.1392</td>\n",
       "      <td>0.3063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2424.5</td>\n",
       "      <td>0.4964</td>\n",
       "      <td>0.1622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2425.0</td>\n",
       "      <td>0.0912</td>\n",
       "      <td>0.3094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2425.5</td>\n",
       "      <td>0.0537</td>\n",
       "      <td>0.2933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2426.0</td>\n",
       "      <td>0.0439</td>\n",
       "      <td>0.3240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2426.5</td>\n",
       "      <td>0.0463</td>\n",
       "      <td>0.3108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2427.0</td>\n",
       "      <td>0.0410</td>\n",
       "      <td>0.3223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2427.5</td>\n",
       "      <td>0.0393</td>\n",
       "      <td>0.3117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2428.0</td>\n",
       "      <td>0.0463</td>\n",
       "      <td>0.2986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2428.5</td>\n",
       "      <td>0.0572</td>\n",
       "      <td>0.2769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2429.0</td>\n",
       "      <td>0.0496</td>\n",
       "      <td>0.3291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2429.5</td>\n",
       "      <td>0.0530</td>\n",
       "      <td>0.3005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2430.0</td>\n",
       "      <td>0.0470</td>\n",
       "      <td>0.3413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2430.5</td>\n",
       "      <td>0.0476</td>\n",
       "      <td>0.3173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>650</th>\n",
       "      <td>2741.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.1326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>651</th>\n",
       "      <td>2741.5</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.1481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>652</th>\n",
       "      <td>2742.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.2739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>653</th>\n",
       "      <td>2742.5</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.1643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>654</th>\n",
       "      <td>2743.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.2439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>655</th>\n",
       "      <td>2743.5</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.2462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>656</th>\n",
       "      <td>2744.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.1790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>657</th>\n",
       "      <td>2744.5</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.1567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>658</th>\n",
       "      <td>2745.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.1726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>659</th>\n",
       "      <td>2745.5</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.1924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>660</th>\n",
       "      <td>2746.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.2630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>661</th>\n",
       "      <td>2746.5</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.1997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>662</th>\n",
       "      <td>2747.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.2468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>663</th>\n",
       "      <td>2747.5</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.2495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>664</th>\n",
       "      <td>2748.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.1800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>665</th>\n",
       "      <td>2748.5</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.1141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>666</th>\n",
       "      <td>2749.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.0293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>667</th>\n",
       "      <td>2749.5</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.0001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>668</th>\n",
       "      <td>2750.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.1795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>669</th>\n",
       "      <td>2750.5</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.1999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>670</th>\n",
       "      <td>2751.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.1709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>671</th>\n",
       "      <td>2751.5</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.1020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>672</th>\n",
       "      <td>2752.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.0788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>673</th>\n",
       "      <td>2752.5</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.0001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>674</th>\n",
       "      <td>2753.0</td>\n",
       "      <td>0.6412</td>\n",
       "      <td>0.1090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>675</th>\n",
       "      <td>2753.5</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.0322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>676</th>\n",
       "      <td>2754.0</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.0175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>677</th>\n",
       "      <td>2754.5</td>\n",
       "      <td>1.0000</td>\n",
       "      <td>0.0086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>678</th>\n",
       "      <td>2755.0</td>\n",
       "      <td>0.8841</td>\n",
       "      <td>0.2385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>679</th>\n",
       "      <td>2755.5</td>\n",
       "      <td>0.9063</td>\n",
       "      <td>0.2007</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>680 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      DEPTH      SW    PHIE\n",
       "0    2416.0  0.2621  0.3297\n",
       "1    2416.5  0.5196  0.0718\n",
       "2    2417.0  0.4883  0.1794\n",
       "3    2417.5  0.3582  0.2359\n",
       "4    2418.0  0.2772  0.2601\n",
       "5    2418.5  0.2809  0.2660\n",
       "6    2419.0  0.3709  0.2334\n",
       "7    2419.5  0.2762  0.2648\n",
       "8    2420.0  0.3030  0.2424\n",
       "9    2420.5  0.3210  0.2335\n",
       "10   2421.0  0.3210  0.2462\n",
       "11   2421.5  0.3498  0.2167\n",
       "12   2422.0  0.4145  0.1484\n",
       "13   2422.5  0.4258  0.1712\n",
       "14   2423.0  0.7674  0.0532\n",
       "15   2423.5  0.4234  0.1371\n",
       "16   2424.0  0.1392  0.3063\n",
       "17   2424.5  0.4964  0.1622\n",
       "18   2425.0  0.0912  0.3094\n",
       "19   2425.5  0.0537  0.2933\n",
       "20   2426.0  0.0439  0.3240\n",
       "21   2426.5  0.0463  0.3108\n",
       "22   2427.0  0.0410  0.3223\n",
       "23   2427.5  0.0393  0.3117\n",
       "24   2428.0  0.0463  0.2986\n",
       "25   2428.5  0.0572  0.2769\n",
       "26   2429.0  0.0496  0.3291\n",
       "27   2429.5  0.0530  0.3005\n",
       "28   2430.0  0.0470  0.3413\n",
       "29   2430.5  0.0476  0.3173\n",
       "..      ...     ...     ...\n",
       "650  2741.0  1.0000  0.1326\n",
       "651  2741.5  1.0000  0.1481\n",
       "652  2742.0  1.0000  0.2739\n",
       "653  2742.5  1.0000  0.1643\n",
       "654  2743.0  1.0000  0.2439\n",
       "655  2743.5  1.0000  0.2462\n",
       "656  2744.0  1.0000  0.1790\n",
       "657  2744.5  1.0000  0.1567\n",
       "658  2745.0  1.0000  0.1726\n",
       "659  2745.5  1.0000  0.1924\n",
       "660  2746.0  1.0000  0.2630\n",
       "661  2746.5  1.0000  0.1997\n",
       "662  2747.0  1.0000  0.2468\n",
       "663  2747.5  1.0000  0.2495\n",
       "664  2748.0  1.0000  0.1800\n",
       "665  2748.5  1.0000  0.1141\n",
       "666  2749.0  1.0000  0.0293\n",
       "667  2749.5  1.0000  0.0001\n",
       "668  2750.0  1.0000  0.1795\n",
       "669  2750.5  1.0000  0.1999\n",
       "670  2751.0  1.0000  0.1709\n",
       "671  2751.5  1.0000  0.1020\n",
       "672  2752.0  1.0000  0.0788\n",
       "673  2752.5  1.0000  0.0001\n",
       "674  2753.0  0.6412  0.1090\n",
       "675  2753.5  1.0000  0.0322\n",
       "676  2754.0  1.0000  0.0175\n",
       "677  2754.5  1.0000  0.0086\n",
       "678  2755.0  0.8841  0.2385\n",
       "679  2755.5  0.9063  0.2007\n",
       "\n",
       "[680 rows x 3 columns]"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [],
   "source": [
    "datafr = DataFrame(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = datafr['DEPTH']\n",
    "y = datafr['SW']\n",
    "z = datafr['PHIE']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "        alert('Your browser does not have WebSocket support.' +\n",
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       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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BMeou7Z+XggUAoVAITAzAkVwzAxZfaEQKAQKgUKgECgECoFCYIRCpYApBAqBQqAQKATWhkARHGuDvi5cCBQChUAhUAgUAoVArxEYloLT6wnV4AuBQqAQKAT6jUARHP32X42+ECgECoFCoBAoBAqBdSFQBMe6kK/rFgKFQCFQCAxFoAiOWhiFQCFQCBQChUAhUAgUAoVAIVAIFAKFQCHQewSK4Oi9C2sChUAhUAgUAoVAIVAIFAKFQCFQCBQChUAhUARHrYFCoBAoBAqBQqAQKAQKgUKgECgECoFCoBDoPQJFcPTehcubwAEHHHD6wQcfHCeddFKc+9znXt6F6sxLRaD8t1R4l37y8t/SIV7qBcp/S4V36Scv/y0d4qVfoHy4dIiXeoHy31LhXfrJt8V/xx133HcGrcKXjlldYPcIFMGxewy39gyHHHLI6R//+Mfj2GOPjRvf+MZbO89tn1j5r98eLv+V//qNQL9HX/dfv/1n9OXDfvuw/Ff+2wQE9ttvv+Mi4lc2YSw1hskIFMExGaN99ogiOLbD9fVy0G8/lv/Kf/1GoN+jr/uv3/4rgqP8138E+j2DbXmGFsHRr3VYBEe//LXS0RbBsVK4l3axbfnlsjSANvzE5b8Nd9CE4ZX/yn/9RqD/o697sN8+LP+V/zYBgSI4NsEL04+hCI7psdrnjiyCYztcXi8H/fZj+a/8128E+j36uv/67b9ScJT/+o9Av2ewLc/QIjj6tQ6L4OiXv1Y62iI4Vgr30i62Lb9clgbQhp+4/LfhDioFR78dVP7bav8VwdF/99bvwH77cFv8VwRHv9ZhERz98tdKR1sEx0rhXtrFtuWXy9IA2vATl/823EEVIPfbQeW/rfZfERz9d2/9Duy3D7fFf0Vw9GsdFsHRL3+tdLRFcKwU7qVdbFt+uSwNoA0/cflvwx1UAXK/HVT+22r/FcHRf/fW78B++3Bb/FcER7/WYREc/fLXSkdbBMdK4V7axbbll8vSANrwE5f/NtxBFSD320Hlv632XxEc/Xdv/Q7stw+3xX9FcPRrHRbB0S9/jRrtyyLiNhHxrYi42pCD+Pk5EXF4RPwkIo6IiH+dNPUiOCYh1I/Pt+WXSz/QXvwoy3+Lx3SVZyz/rRLtxV+r/Ld4TFd9xvLhqhFf7PXKf4vFc9Vn2xb/FcGx6pWzu+sVwbE7/Dbl278eET+OiFeNIDgQGw8eEByHDsgOf4+1IjgmIdSPz7fll0s/0F78KMt/i8d0lWcs/60S7cVfq/y3eExXfcby4aoRX+z1yn+LxXPVZ9sW/xXBseqVs7vrFcGxO/w26dsHR8Q7RxAcL4qIYyPi9YMB/0dE3Dgivj5uAkVwbJJ75x/LtvxymR+Bfn+z/Ff+6zcC/R593X/99p/Rlw/77cPyX/lvExAogmMTvDD9GIrgmB6rTT9yHMGB+HhaRHx4MIl/iIhHRsTHi+DYdLfufnz1crB7DNd5hrX77wUviPjEJxoIbnGLiDvfeblwvOY1EVe/evNnkXbCCREf/GDEfe+7yLNOPNfS/ffud0e89a0Rhx7azO2UUyKe8YyIhz884pznjHj5yyP+8R93jvO85414ylMifuEXJs5h5AHf/37EC18Y8YhHRJzlLPOd57Ofjfinf4r47d+OePazm3Od/eyznevv/i7ir/4q4ld/NeL2t494yUua8+y3X8Qxx0Tc5CYRl7/86HP+xV9E3OY2EQcfHPHhD0d85zsRhxwS8eY3xwevdrX49fe+N+IHP2jO98AHRlzzms25vvSliHe9K+IP/mDvuT/+8WYs3/52xG1vG/FLvxTx//5fxN3vHvG4x0WcdNLOcdz4xs3n7Gc/izj66OacF7xgxJveFPH3fz89HtYBDF784ohHPrLxi/Vg/Xft4hdvxvTYx0Z873tn/vQ3fqNZU3/6p82YRtl1rxtxv/tF/PSnzbEPe1izpt785ohLX7r5rjV45StH/N7vRTzzmc3afNazIv7rv5rvXuc6zdn/538i3vjGiD/8w4inP73B4Hzni3jb2yIudKGIG95wehy+/vVmfZ/1rPGhm988bvhv/xbxhS9E3PveEaefHvGVr0Rc73oRT3va8Pnd5S4RN795xH//d+PPBzygweknP2lw9Uy86EUjrn/9Zh1Yg9ZG2172smZt3/KWEZe7XIRnqWu79/7v/43w+eGHR1z2snu/BZPXvjbiQQ9qMIKF+f/Kr0T88i/vPc76evKT98wvnvSkiFe8IuLTn26ez57T//EfEe97X8S97tX4+MdEvgO76lUjfv7ziPOcJ4L/rJVTTx2NrWvf4Q4Rf/mXEY95TMTZztYc+8pXNvdL2jnOEXHhC0f86EcRT3hC82z4z//c+zm8b3rTBnPH8s+5zhXx6ldHGJN77HWv2zGO//n61+Mga3Wc7b9/xB//cYP3JS4RcdppzfiWae4tfvra15o1Mo1Zw55H7nH3zDCDiT+eQ7sxzwHr7jnPGX8P7+YaU3x3qP/4+//8n2adeCZaU54d457TU1xrmYcUwbFMdBd/7iI4Fo/pus44juB4V0Qc3SE4HhERxw0Z7P0jwp848MADD3nDG94QP/7xj+M8fhGW9RKB8l8v3XbGoNftvxvc5jax389/vufPSQcfHMcJGJdoNzj88PjmLW4R//mQhyz0Kpc95pj4xde/Po79h3+YPxifY0TL9t/V/+iP4kIf/3icet7zxkfe/va4wCc+Edc86qj41DOfGSceckhc/453jLOefHL8rPUMP8tPfxpn/+EP4xPPeU78YBdE0kXf9764ylOeEh972cviJ5e5zBzoRNz4sMP2fO/Tf/IncbXHPS4+8dznxg/agdwUZ73GUUfFBT/xiTjlgAPii/e9b1z56U+Pj77qVfG/Bx0UN7rpTePL97xnfNnL9BA760knxQ1vc5v48j3uEV++973jqo97XJzni1+Mrx9+eFz2JS+JT9///nG1Y46Jn17gAnH2H/wgvnb728fnBZ0RcZmXvjQu/ZrXxIfe8Y74OXx//vO44eGH77lXEAs/vtzl4vvXuEb84hvfGJ999KPjKk996p7znJ4BYkSc7Uc/ip9e6ELx0UFgd/5PfSqu9dCHxneuf/349FOeEtc54og459e/Hj8T6E8wc0HCfOm+940rPPe58fFjjomTL37xuOFtbxs/O/e54+ctMussp5wSZ//Rj+IzT3hCXPVJT4pTz3e+OE2QOBjTKRe5yB4MLnfMMXtw3UPudOxsP/7xnu985G1vi/N/8pNxrSOPjH97ylPiu9e/flzvLneJ71/zmnH6fvvFxQYEzX8ceWRc6VnPiu8eemgc8NGPxmlnPWucesELxsde+cr4+bnOFZd64xvjci98YRz/1KfG1R/96PjM4x8f3z7ssLjuPe8ZP7nUpfbgMa1d7F3vil9CpkTEF293u7js29++59/fvMlNwvp3z/zPbW4Tl3zrW+On5tcyfv7hla8cn3zOcyLX1gkPeUhcUaAYEf/5oAfFJd7+9jjp0peOz/zJn8TBL3tZHPzqV8cH3/3uOE3gHhH7/exn4dl5llNP3YPRyQcdFL/w1a/umef+3/9+fO7hD98zvh9d4Qrxnw9+cJy+//7xoytdKS7zkpfEpV/72jj9LGeJ/U47LT7/wAfG5V/wgj3++/A77VU1lveef8P8asiXgY/gdrUnPnHPcYnlT89//jj97Gffszb3P/HEM8335+c855meD+0P9zv11Ngf8TAwa+rHV7hCnP3EE+N6d73rnrnluvKcOduAwPvqHe4Ql/zrvz5jXfnMub5+61vv+fmesR19dJx4nevEDW91q/jWYYftub8ueNxxceoFLnCm8Z1+2mmx3xgCNed0wpFHxhWRQhHxvUMOiQscf3ycev7zT7tkZj5u/+9+N756pzvFeb7whTj/pz898VruF8/p/77b3fbcn6cg7YbMy3181lNO2fOsmJc4TrxPOfDAOMc3vznV82NmAKb8Qtd/5uce/LT7/JGPDGvTGvPs/koSvVOee5WHHXbYYWKmX1nlNeta8yNQBMf82G3aNytFZdM8siHjWfoO8obMc1uHsXb/CdzsvH7+881O5ac+tTyo7SIKsigR7Cou0uy02UH1Am53bEW2dP/ZDXz/+5vZUG9QdPzmb0YIhm51q0YNYWfTjnEaRcev/VpzrN3eec3OvB3xj31s7y78rOfKwJnqgt8FP3YeZzG70P/yLxECVTuj979/xHHHNbuBAhw77naNhxnVgB3fI45olAbwsCt9n/tEPO95e0gKAUwICu1kUzXYYWf3uEcExZHP7cJTDRx0UARFCEyOPTbiRjdqdqh///ebHfBvfrPZ+U9D5NlppoZh1CLGYGee+oEKAglkh36SCe6OOqqZi+Pf8pZmXNe+dqPyueMd956B762PRz864qlPjfjnf27mxtwrb3hD41tzOfnk4VemkvE5VQMlCxUMVQIy6dznbpQL/OvajMLDd9Lset/pTo1/+M1n1CYvelGjmLAm+OFiF2sUXbBhnhNUMePWLjLioQ+NQCj98Id7yIL4xV9s1oTxmi/Cx9rhp7YZ/3ve0yhKbnazRgkBu9ylN9bnPz/iSldqPqPc4Fs77kmWWI/O/Sd/EoFsQHrxCcwPPDDirndt1CrIPKSI56z7+PGPb76TZo7GAs+2CsPz0Tpnee8gOZBJVBOpyEFIO85zO8nML36xWV/OS9X2539+5jXZxoLvqW8oS5hnByWGNUPN8e//3qiU0qgSrnWtCMos9tWvNveXcVHEeB453/HHN9e1Rq5ylUbZQZXCRwMyKk858Rnq3qF2sv6PPLL5Gt9SBw1IqTM7eEH/c6/f+tZ71Tx/+7fjT+ze5A/rnZ9hNUqtZr3Oq4ozCgol6/N//7dRgVEkrcl2+C/X+Dve0ajcPCup7zyL2mt/TeMdddlScGyYQyYMpwiOfvlr3GjHERy3jggaWsVGvcE8NyKuO2nqVYNjEkL9+Hziy0E/prHPjnLt/kMGkIojOLw4k3ovy7zgCv7uec/Fy4tJtV/1qjMHIcuaR+u8S/ffr/96xIc+1FyRnN6/f+d3mmDMZyTjUj/aihjyekHvPGRCGzOBKPLrAx9orjWrkevnSzwCRoCWQe0s5xIgCbRI/zO9Q+B2hStEkLYLegRTaYK2j340QmqI1A2BgJQMwWriKfBCAjDqFEGhgFUAKx2B5bFJ8CBVkCBwFQg+97kNwSEwF1xKG3DtthpCeoEAWNBO2SHola7DBG4k5v6PSJhkf/M3TSoBUkRAKs3D96Ut8Hmm1jjPJz/ZBKJSJARmX/5y8z0mAOEP9yFMBKnDzLiNX/COTBG0IyisNUSlc5sr8oNZK9IWmLQUuCFVqFMEwIgFJADZuvPmupVq5fhc564lYOM7Ph5mGYB7dsHO9wXanmEIDmQtowoRWLUtv4tQoNZB2gig/Z+f4IPggK11ZN6CSPffJS/ZnCnJJthRkkid+MhHmvWOdONrpJmg31iQWdYY7KwbBIbvIc98RtIvBSUNNhnM572T80yiyrFwhGeScJPW0LDP+QbelBwUcAga9wtyZlj6lOtJn5G+Y84M+ereQTCbl/sUuYXY+K3fakgOz39EUq6RwVgmPkPdU35PITEf9ai9M/AMdD8sy654xSaVzb11jWs09+44E7xbOw9+cLOm2oTVMsaIsEW0WatDFFjLuOSwc+7wXz7zPCf5x3PTcxIR92d/tqphzXydIjhmhmytXyiCY63wL+ziiocqGnphCsyIeEJEZBKztwl+9nZ0y0GbWFrdsfU3jKwIjoX5Z60nmvhysNbR1cUnIbB2/wkuvHR7+f7MZ/buzE0a+DyfZ7ApoHt91kSe50RDvuNl2gtvOwhZ0KnHnWbp/qPEyBob6j942bZzaQfeS7fdUooDpEeaQNuua/fns+IhELM2BPwIgVlNEK7uBctAVJBih3MWs+vLr9aqwEngh5ywW+8PRUKbIHjpSxu1yDe+0eTPC1IEK3ARCMORasDnzNoRVJujoFRQy4zdHMkw2OUAACAASURBVFIJY0fydrdrPkew/NEfNQoK944Aw1i6tTCe97wmiBbcIaMEd9QeTB2L3/3dBmNkxSRL0iKPo4IQhFNGCE7baS7mhvwR9MNAkAg/luqHG9wg4oc/HK3aosjgK0Gr4I7iw//V2LjIRZpaA+YtKGbUEBkQC4DVhqBOQZDAiwIEGWL9CvAF7lnTA3EkWGOJWVt10sUGaYFsoYpQ9wBpwVfUJOaatVCc07nbhqxAWlA9mJfvMmvEzrgAVdCIEKJUEOxTlLQJF6SSwC2JlPb5kYtZ1+hud2sUJNQfdtth6Fyu4zP3MUMWJVHk/4gZhCAzHpgghxC5jk0SLkmlb32r8cm8lmSU+0AgSnlg3bdJszw3Igb50SVWBbNIOGQkZY5zIAkF/hQqfCL4RQK0bOIzlNqBIgXhNkjN2fP1tqJm3nmP+57nhnuILz0bPFfGWa5bzwhrYxRxuIyxrvGcO/znvnbvu7fcZ55bng3uGSrLDbUiODbUMSOGVQRHv/y10tEWwbFSuJd2sYkvB0u7cp14EQis3X92YgUZXtS9yAkCl2X5Em0XL2Xti7qWnVLB1bhd30Vda5aX891ek7T3c59rAlg78fwjwKdWEYALIEjRzT9N8CQ4m0ct0R6vnVhB/Lw7pcZL4s2QCHwuOBaYzmJy2REPdscRHIJs57K7TzkhYG7XjsngEG4CfUoOknYBlsAMkdc2L+Tk+EgiATEVgF11hIDgPImiVLQgWwTWFBBtE/BnsJ8/910kBr8JoI0/FQUCP4HAkKBvKDzWQLt+gd1xBAcsEChtM373NhUNRUGmyDhG2o30GwHx1a7WBNzDDGkkuHZugbh/C1ztosPeDj6CA1FgtxrZI9AWhEqjsaMvBcO4k6zwDLAmBPPOI80E2WQcqR5LhQAsYTrMkELuge99Lz77hCfEVZA81issmfPxOWWF4Lht//qvDekFN+NJckl6iXGqEyAQk6LA14hEKRcCNf+Gqc8QH7DsGsUC8opZ9xQ+CnNKiZHuQi1nrrnj77guwWE9JvHifEgZ5IPz8aXgEbkhXU2R0jaBNcu9lccaj3sp00Cs9UyRGXY+vyvcS616M3uIWAQHPK0TJIx0l0FNjj2nQWx1CkFP9Tswf08h3RAe/MAfyzTPDb42V8QUQmecSVXzTICj50ZbkbPMca753Dv8l8849yc8rC3kJjynScVb03yK4FgT8HNetgiOOYHbF75WBMd2eHmql4PtmOpWzmLt/vOCKmAkYfey366Kv2jEBeJ2wrzs2A1fpAm2BDPtXPRFnn/EuZbuP7vPJPd2RUmS7cbb2RUoCPwFPAI26QhpdjYFrxQYgtJ5LaX88ypBUgHg+vwjAMpaGLOMSXCTXSBSku/lGWGAALKr3X5xRthJWbGLqm6G9cbgIg2F4oKpiyAwF2wLMGGlGOh3v9sEtpQjTLCJ0KDQEMSQ4/t/t0bEsLllLQxr01gF4vwiABJACqTJtuXvT2NJ9jgWoYDgQCCk6qR9DqkGCAcpOsieNIGn+TK7qhmMd69PZi9QpYyguEJICKitP0oYSgUEh+AdsYhIgFni63x2s2EpSJQK5Dljrfo/VY8/1EbmIfBnfkZBoVaDHP5hZlyeJ1/96t42sepkZKeTVDsM+24SRdRE8Mn0Jv5HIiAL1U1JYogKBjmRPrQzf6lLjb6/EFiCPGaNIDgEynwEQ7UZ1IHJVBzHUbq0iSbEj/ud6sO6oYBp19TxfcoV69k6d3/sJk0B9kgrvkX4zXvPJ95570tJdD9Z7yzvtZZfpnqGSk+T4kQlIWiGsXW9TPPc4HdEimfApPoR6iJZr8aKgMmUq2WOcQPOvcN/6Xu/o5DPVFA2NRA/k9J81jifIjjWCP4cly6CYw7Q9pWvFMGxHZ6e6uVgO6a6lbNYu//sint5E3jIp24HJ4tG3C4wWbaX/qx/sKhreHmyU5RByKLOO+E8S/efYNBOuN1sAZngLIsgIqekKXTTcigVBO92UttFH2fFJHfSh+y6TnUqAX+2csxUjlnJLWQCJUWSEcg48xLMCnDs8FtT7faTdlsFh4JCAUrWvBCo2KVHerCjjoqvfulLcUnBnN1+8xXEUD8gY7JtaQbkiBa1GqhCEGld+T7pfSoIEqBULWVg54VfIGRedjTtbktb4cdpjPIAoYUUQEYKvpFHw1K+Unkg/71daDPH5Hqu26mJcMYw8n4VoDg/bKRMmSP1iLoKgmpkWp7f+KQApSFQkHNUM3xobSJeFGO1PqgQBPDmkZJ+/hIIuWb6rotNpph87nN7CY4saurYSWlVAm9kDb8LmpkdeuSTehgIWIQN4sD6Q0ogIBARiBff9byEfdeSGPJzJBB/MUSSe5dixXqACaUJg4FnVxryyxisE/gikJAa8Ge5/hAtCKZO55RpltKZjkGcqi+SxXJ3W7+HqiSLCVt/6viwVMG0Lj7VMxQGlD+eJwJoyrJlm+cKkgI206TWJelkXLM+55Y9lyWef4f/ELaUekhK6YPUa7Ckelr0xsYC51UExwLBXMGpiuBYAch9vUQRHH313JnHPdXLwXZMdStnsVb/ZRFIgZldWrvSWU1/GWhn/YHubuUirpW7wxmELOKcU5xj6f5D3Njdln4j6BF8C8hIyQWLdlzt8g7aV+4ZcuasC9jbOetTzOdMh+jO4sV+XiWI3cxsfalIICUKyXrWFJlmPHZ/1a4QyCFyspaHl2gEh0Cim/IksBJgCXIFJymJ93ItNSPTNV7xijj20peOGyMaWNam0KHCd7OlIWJDgMuQHQLWrHHhZ2oNCISHpQTlzjjlh1QVAT/CABby+6VESHOYtn1i1poROAggmN3sYS1WUz2ADMhaD45XkJIaZdx3fZY1RxAWCCRKB5i7lnkgrRAcVEZSKDxP5NpnNxTnMC/KBeRjdjfyHceaC8KHqosyha9ZdjYZl2LF74iq447bS3AgHNQVYV1VU3etIQqy40cSPOZLYSENKItnUnhkVxxrWZDtnlJjBLGgtkTXEGuCeiaoQ7Ix+FHsUL/A070s8HO847JuRxs36w6pqVZKmxxIHyI5ESbujd1Y3mfZ/aWb9jbrubP+DsLL8yOJmSG1QqZ6hiJf4CYFxn06aOU867BmOt7zFllFfeJeS3XQqJNkbRKfu9fd8/uA7fBfFsjNdCfPQCo7RKGixhtqRXBsqGNGDKsIjn75a6WjLYJjpXAv7WJTvRws7ep14t0isFb/tYu3qdsgMNnti/I4QDI318uu3a5Fmh0+KQhDJNCLvEz3XEv3n11yO8oCNuQAIsNLNxWDwMm/BT9dy+Kx0xSvHAVQpnpMs3s57ByCPC+3GeA5hgy+W4hznIMyUKJGsGtNpk6dIcCkYlCfoLtbmt1PpABQBZD7M8Gl+iV2xdl73hPH7r//XoIjc+iNWcCOOEi1QY5RgCvQbde4EOAjAYYFhcgSCpwMytRtQEgJjvnN/GbZLbczitxxrUyRka6DuOladhZSr6JdPyDbbjp+XHoM1RClhgCcykVdBnOxppBGgnJkhXFQTzgvf7Rl6PzlPO737OKS4/Q9ahtBNfIjC4MikQTz4wLZrI/wgQ/sJTiSTHJ+xJbxjTLkirQdygn3ELJJqoeUGuRTtkFFzmTXEgoMa8vcXSuP6V6DbxXc9DwS9GZ6hnUIR9emQEprqVHO+JnvU9MhzihgGMVOElOIAmuTKTQ8aizj7q32Z+aMrOFvQSjlQpJF056jexyVjucyggaBhVCy9jvtUad6hiJ5rR8k/KT6IPOOt/s9aWOCdDbqHmt/J1OX/AwRm8qgRY1nQ8+zw39Zu8dzItNfEZnSAWcht1c83yI4Vgz4Li9XBMcuAdzmrxfBsR3enerlYDumupWzWKv/BGleOgWLCA7kQDsYXTTi0iUUmMwWkos8P6m5l+csxLfIc48519L9Z8dcwMc/AhCBguBbuoDAhwLAbm7XHGcX0e7pvKYmgZfVeZUgxm2HuZ2yIMUDkSYoG7b73R1ryvgFtNIgsuCiF2fnkOagZoKAP43s3/fI2RF2VC6CKusPWZP2qU/Fsd/73l6Cw/pHlkjh0DHBWqIMao+/XdA0STU7u8gT/kC6tE1w6x6DJWLP9QXeUgoE1MgWeFAtTGOCcuNEPpF+C+QFolQmXYMROT9isd1ek3rCmIxtXK0KKRNSMKSTUZn4A0dzgKU1huAQoDtGQC7lpB28+z8CR8HZbjcTeKinIE3GeT2PnC+75qgBQ0U0zDxDKCve9a69BAdiITvJUD6Y4yhTUJZfERzIl0zNk5bkfso0JsqXTJORFpEFcilThhUYbV/PWqFCSUNsUIkg2drr0BruquesafPho+wuY0zUGiwJCf9exPM0ye5MqbE2/XsRZr0hsPhriEJwqmcokhdpi+gdt2YXMd48R6bo+f80hZYzNdDxigf7vboP2A7/ZS2cLKKcyjtpsMsuDLsLvIvg2AV4a/hqERxrAL0vlyyCoy+eGj/OqV4OtmOqWzmLtfrP7qDASFE5LyECEbtuy7J84V90Bfwkaow7UwGWNYfOeZfuPzu2dpC9PAvCBH8CXC/QyA0qAH93TU0D9SbaAdasmJBoq78hmJ1HCWLXFdmgZkHX5PpP0zLQDrogVBqKICM7cCAMEBzIBeSHADENgSAYdH7EkNQAygP1Ouygp33zm3HsZz+7l+DIgF56CmIod6CRJwJwQWCb7Ekixc46lQK8hhV6RATwk2CVAucud2l297MOjV1N6pxFm91nu9AUL4Lotgk2dUcRcGcR1u71s84D3N1X2Q0jCR1Bq/kiKKg8EAbddBmpBL6rnob12DbPAURDtg1G9ngeOa+uIGoDeTYNM77XxeNNb9pLcAik1flAdsJ3nMEDYQZ3QXN2j0IsmEuqfJBDSbJkxxLnnUbVhMhI5Qyiz5il6nSJGyQQjKky0pBWAnprLtc2wsP8mLk6p8+Hde+ZZy25HgIFCUERYryLMs8xhGC7zsjg3FM9Q5Et7iHkE9IJqbZsyy5SriNFkLplnPGJ9ev30SyFg5c9jyWff4f/dLTyTPA7Cslh08RzqH2fLXlM85y+CI55UFvfd4rgWB/2G3/lIjg23kVTDXCql4OpzlQHrQOBtfovCzh64SavJS2fFBjsBiSBnV3xRUiq2+NoS+5XJV+e5eV8N5hpBSvVQ/Ah/1zKisBMUCjwlps+rHCbVBAdFjKgp0iwu80HwwyB4DM1AdKySOi8cmsBjfO2W7jmuQWL5sOoLQR+wwpKZpqErhnmkEoOqQ2wkLJBZZA1E5wv1Tx22wVr6h2o4wHLrA+hgOQpp8SxH/rQXoJDkEuBATN1JnRpEWz7vuAG7lQhgnIm3UTxRGqBjuz+TBAL7toqG+SMGh7ZvWRZnX+QCsY6rOCme5AaZBy5griBAaUCiX5ihwTwb3NGcFiLVAaCQEEhdUka1YP6BepcSJkRlAsAGQKMIic7jkhl8Hkqe6R0ZIpAd80i+vjkZS/bS3A4Rl0Q/u+2Au5+Hxkl1cjagUO29LQu24Sc43L9IkME6Ag/ihhqpHFGOZS1USgQrC9z79ZzQIQgIq0JJJj7lPpJ3RlBc9ax8Vl7nakVArP2vbSbZ43zIUwQKXbbuylFuzk3ssr5hxQHnep3IOzdQ0i5WVK6djPmrBnlHNnmeNL5UtXlWeUZtQ/YDv+ZuzSuLAiNKEYSLjsFdpdYF8GxSwBX/PUiOFYMeJ8uVwRHn7w1eqxTvRxsx1S3chZr9Z9dUgGc3UgEh8BOzYBlmYBEwNpuCZnXkl5it9YLsPaMs1g799mOqZoDK7Kl+0+QI30BkSFY0rnDTpigSIDsMzUEupbFSXPXXYBldxb+Xcs0CjvJbVWF4FiQjFyYRwlCrWCcctFJ6pE0/MzadSEEuVQpWYOhPb7sxpDpAeT4gmk7uOakQK7Uh5Tx55p2DsUgBWoKzyI4BG8k0pREvvuQh5w5OBY8UTZQb1AimLfvGL/dSISPoA85wtS9QHpMqluDaMrx+Z4xSy0RCDCBm8B80UbxIy0CwZGpDXkNCgGkkKAbiTHM7LxSAiENERzIEAF3dsTJ75DiIxQQpN3ATpDv+UIBhIxC9mQ7WDUkEGCZ0iIQQrpme95MB5LOQ7nQTjmhipEm8rznndmHSCfrzHoaZ0g7axsOVD5Z4DM7uOR33V+IG5bzdrz7cpKZd6o/EIfZ6aZbVNZaQ8a536wLNTCkpmWKCMUC0kcNg7Z5Jjh+mnSZSWP1uTokSBY2pBjoNKeY55ipnqEKU1t/yETpTl010DwXnvQdvw+l+THrG6E6ydxLiMFpUlomnasnn+/wnxQitXc8+xGUNk0o36zjZW6g7BKvIjh2CeCKv14Ex4oB79PliuDok7dGj3Wql4PtmOpWzmKt/sucYXn6XpRJ2e0ILsuyxaXgQJDQtpQDj8u7HzUutQ/y5bNbb2BZcxmcd+n+k24hhQBhYedfoO4lUZqAYFIKAP91TVqHHdNMgxDgCoja9STyO9lBoVv5X6eMt751ZxvWaTBNdRBSJtM9BG2ZCpCkiYDZuATTArhuXY4MMqwLgSA/k8/DRIqIIBI2VBAs2136N1LkS19qjrezKvBwnVbBwDP5L1OdkC8KXEptcT9oizqsVa5AXUA4qRijLiHtGiFe+ilLMn3BObJg5DTYLuKYVCpYS9J3hlkqo4yXckXQO6xGj/UHZ0RFd3cd+SG44QvzpZjIlqHIVR1vssUvMgqZQb3ABPz87x4QLLV3/5FnZO9HH31mgsP4qEoE6+PMd/mU76x/dVdYu7Wx/yNkEEVZR8Iz0xjdW5Msiy06rp3q0k0LIuNHesEGWebZ6J5QhJViA7mIeOumD6YKp1v3ZNK4Rn2OwOFHNuxenPe8E7431TO0fQ+tqlNWtgM2fvdrEm/j5pNk5qrGuCSfzHLaHf7LYs3Z6cn94vntfkB0b6gVwbGhjhkxrCI4+uWvlY62CI6Vwr20i031crC0q9eJd4vAWv2XRfmQCwIDO7XdXcLdTrD9fcoNwYJgLncK83M7nHZ45kkxsTvuxZIJFASkK7Kl+09gYxdenj2lQxq5v6CT6oX8u2t2PCkz1BMQnAkIqQ8E+V3T1QT5oIMExURatnkVhKYSZFpcUw1B/SCwpVKwu54Kkuy2IahVyJNZG/nvvI71IIAjF/e3OQg24IHgQJ5IK8lOE1JdEB7MC7brUiXBEdmDxKB8Qd4EAcaxe1NU/IB6SIAtCJdO5b5AIvludi2ZFoM8LpUwyBsBsh1Oc80ihCsMJs8YOvm8cajDk4qU7rzslls3SCrHwrCdCpTHJ4HlOLjpNJJGuSGdA6FlV1th0Uy5cAxMk/yRKiLAz4KrSBgFdY1BTn+2c81xIQYe+9idPpzGP8aEuFFUlOon56U2TF7HeahGkBn8lsGZNTQKs/a1EcaZpkB1cPjhzafuSddNo96Q9uL5SI1mPBQqFEKu4/5BPnSLCVMzISwpY7L46TRzH3UMVVN2Y+mmw+zmvBO+O9UzNFs/OxdfIYOWbUgKzyzmGTIpJclx0rcofia1KV722Fd4/h3+Q1hSFVFgIRHVTvGO4XlHETesTtEKxzvqUkVwbIATZhhCERwzgLWvHVoEx3Z4fKqXg+2Y6lbOYq3+szvt5d1OtaKMy95h8dJuN8eLYjcVRsHB448fvlM+yfOK8Al4mV3eYYqGSeeY8/Ol+8/uOvIHIaAWR5oXfjUsRhWzE0whGZA/SWRRf/hZ17K4JlLES32a4FPetL9TCTItToIxu99IGOuLwgIZo2AqH9lhF/Tly7DzKiiKqPJCbMfW3MjSBXACXRikgsV5FJm0u90O/gSPiZPdeCoLhf+QapkiIMBWrHQYwYFgsUbdG7BzX8Daebrky7RYSIdQd0HAancTiYRUSkXCCoPJM4ZMxQLTNtnQnU92W0EGCNb5BEHV7YShRgWf8ZN7mF/SstApQokv+YYfsmirY5FSTJoIhY80EUSTAN4YPTfa7Wf5x8+c+6EPnY/gQIQiSJAxxpKFPNutQXMO1hr/U3q029lO8j8iLUlJxAVVBuvWXEmlhzQcZBflDDLJWNQkcd+0VUp5Xc8840boms9uLRV2UnyQLCuyqZ6hUtKsBbbIDi/j5tgmzid15cnz5DgpYdT82Qdsh/+kqrmHdUjynEEOIro9R5CEauRsoBXBsYFOGTOkIjj65a+VjrYIjpXCvbSLTfVysLSr14l3i8Ba/dcOFCgqBAzZPWC3E+t+386Nl3VBUzefvF193m6wVIxZrC0ltmsvYFiRLd1/CCiBOvVCu6sBMkJw0y1YmPMWUFI1yB1PlYTdaP7t7qAJcqk12rUsnMc11Jiw24w4mMUEq2oIUH7YvbPrmvVRBGaUAx/6UKOyyLofKd2366e4ozlQaailgWixO+rlWPDl54I+BInAMetgIH3ucIdmpIqmIhKoPqToZLFIQfqAENvhv1St+L6UAIQKskbR1nkNaYTUMF7F92DJN1QJswTM815/N99T8NKY1XkRsCBjut1vBDECcnhLr2inbziWj9XfEfTZEecHBBfyCNlpTQp8EG2CV4QQrDwnBEtSA6g6sshp1txxnvvdbz6CA2mgroo1n62L4UQNRU7fNqlblCnWmHWULWQn4ar2CaIxW+C6DuKsG/xmUcY8HxWFVCw73u5ZdTy6hXQdS3HlnllUx46syzKMgJ401118PtUz1NpDDjIFYalNlm0URZ65FERZO2jSNd3T1uW0aUyTzteDz3f4j/LNswDZ4/6FHUwo4ZCEyMkNtCI4NtApY4ZUBEe//LXS0RbBsVK4l3axqV4Olnb1OvFuEVir/7L2gnoDgjly8uxwsNuJdb9vh9eurN10hIYdsbR2kdBp2i92z91WAZCEZ/HGRc9hyPmW7j+7ul6aFWtsvxjabRUMCjwVdOsatQBSQSoEubTj2bAdNAGqlBdpKl7q06QT2HXvEh/T4Cog1PEEmUBRIw2B2kKqgtQDKgAFPykpdCig6Mm5ZH0IigAmSKYgaac+UFNQ/SA02vUJnMM1EBPUIBQBduAF1AJB1uocssN/0iikBNnFhtUi5dTUM/yISER4SF0ZVlthGnxXdQzc+MM9xR98kKkWOQY76wIa93UXLz4nVafGQExRA/GDNKAs7JnFOxF2CE7ElxoyyBJpa4L99hrMwNN9f7e7zUdwWJO6PAhgraUsSpr1MNr4UkioBYIsQ3T5expLNRGSCLGB8DPnbrpDu5il82Y6C5w8LxG+yL12HRfHSQOAwYDomWZIY49BIilwqrCsZ/KKbKpnaLasNiZpdtRhy7b8vTRK+Tbs+u5v6ULW+rjOSsse+wrPv8N/SG3FgxHN/o3MluLmOYAkTCXTCsc4zaWK4JgGpc05pgiOzfHFxo2kCI6Nc8lcA5rq5WCuM9eXVoHAWv3XrpOggKBdTUqLZVi+LCoYqK5BOxc3FQSuO08NDS/4uRsuGMuihcuYR+ecS/cfxYIAB/kk6E5iKLtRkPsPa68KD0E0ZY6ccAESg323AGOmEfCNIp1pgkokigBzUtvNLtZ2lu0wk3kjrRQrFaza1bMjbreeMoKSQvCHhHGcGggKgponosIONtKBSkfQmyblBMFhVx9xRtbPslitAFpgKRi2JsyNEoQJMnWjGZai4rpewO1iZ0HUZawjAbVCqYJrJNSmmroQyAk7sYJ/JIc1SWEhHYXxDeXLMMuCg7pL8Ic58wNiK0mFVCMJgqhFFHmlkpCyZH0jqtqdl6xJa9P6vt3t5iM4kLra0Cp4jHjIlsW5fswlU0Y8T9x/Uksc6/rTWBKLSRhk0d5uDY8k1fKcVFlUL4q2uucRmAJG91DbqLrUqBn1DJhmjO1jUhEyC4kz6zWGHD/VM9QzMJV5qwqSM4VzlnvU71EKHOTuPmI7/JfP/rzH/a63RhFy47o2rRmvIjjW7IAZL18Ex4yA7UuHF8GxHd6e6uVgO6a6lbNYq/+oNkiuvVB7MbNTuawiYNnpJHPuydLtTrLcdffveWpo2OkUeElFENjOWhBzFytr6f6DkbmRzQvGcmcVCYCg6natyLkI3rIrDmJBHQ/GD4pyts2uowKR5z1vU0shTRCrPsIsL/j53dyV9kJr7GpxZO0LJIZgzZpDWiAo7NrrDCNQzuDADqA0BYoL9QxSheIagk8kxYc/3ATcWQCSnF+QKiVCh5BMBRFkPuxhzeiQHtQqwwgOP3QtO7Bk8csy86WGcD8kUbCsa+3mvMZnrVFXqKWimwms4Z5FV5FMWRi0e63Mx0dIITnUM+EHREa2Hrb+kKtSoeAiQES6CZSQC0gw6iWKM9ZWB93kJvMRHMgD6815nZ/PmWehFBlm3UsnQdKR1yPlrM2s1zEJ1yzem8ooO/vI2G6h30xlyfNlS2TKKmubOoYiy//b5rng2dftyjJpXKM+Vy8EDohD6qoV2VTP0JyrMa2qha10LGmVw+qfrAibPlxmh/8okJAbngkUfHBMVYd1ZX1toBXBsYFOGTOkIjj65a+VjrYIjpXCvbSLTfVysLSr14l3i8Ba/WeX1M62l33BMvUEOamXukWbNoxSBQQI6joofClIZQInQQ9Jr+B31hoaiBm7wnZ1FeWctSCmMVAoGA+SZAZbuv9goi6A3fMsAmh8iA9qg1HdPbRUFeg7ph20SQfhh7Zl5wjpBV5GM80AEYKgmKXuQJ43A0hrTPBqDPyuyKSOEVIR5GZ72RVIevHN9AdkjKBa+oAAlMIBYdIuXmmMCA5qDJ0mMrVK4OwFW3qNXH1khnVNlUHmzlotH5fuv1FryXyRcQgegfOmmrWC0IBlu8MRgiM7gXS7grTnkjVR1DHgeyoGflD/wppmUi+QJY6RDoDEQ6RIi+F3ygL3gWeTvzOAGqzluXyYdS9cU0qS67AkW/3c+qfaoA6ioFBLBQFHsTKNZcti961uJ8hj6zSJ3TyH+4KKJQ1G6hj4o0aLlCD3aLf2ST738r6aYbw9ZwAAIABJREFUZkzjjpGmhkS53vUaUnFFNpX/koQ1JiQsMnYVBn/36bDuQau4fg+uscN/7mcFid3v1pHfQfmzVnrgpk2tCI5N88j48RTB0S9/rXS0RXCsFO6lXWyql4OlXb1OvFsE1uq/fAEXuNjtFkgLOr3cL9rs5NhVF0zYvW8XGxPsUBBInfBiNGsNDTueXv5J6dUBsMM7q5Gek2bbcZ7Bluo/AZHg/QlPaAgcgY7d3rZ123LmZ1lLQFB49NF7uywMI0TaHQraxJPaCHaws4bAMFzI9cnHpcFQW6Rle1AV9BVL9H9BnmAvx+bFV/oLv9nVFtza9UN2Cfjs1FoTAmyBZ1d5ki1jXTNl/4JhtRuQH3a21TtQb4H6JVUsrR3gpfpv3DpC2ki7cE/AblONH5BEUp1e85pGZs74kt8Y8jL/3Z1HkhF+LlVIOhU/uF8pKJgiuNlxQjAptUNAa91KcclrIhqofdT8sGYHxSbn8mGmzri+wF56DMt6PgqlKmSL4LNepNZIqTEWOExjmeIg0ENCjDJEDVIhLevruNfdU4i/Ycq2VK7lfTXNmMYdkykvCsGqxbEim8p/7doobfXfssdIeWRNzkOaL3tsG3L+Hf6zdjzHrWkENDVc1qNpFXjekOGfMYwiODbNI+PHUwRHv/y10tEWwbFSuJd2saleDpZ29TrxbhFYq//kMutQoGsFgoO8f5Ft3AQgghTBg/QEu6B2b8m07exTBjABsqDBrr2X+2znOS24XsxJYJEU5kFSPqsJlhEcs7zYf/Ob8eVHPjIOFnwvo6AccsJur5d7AZ9cfFimesMcs7Vqd74Z/NjtRCCpOcDUuTBPvkgTZHvxZO0aHdI6/F8djHZR2Pa18jrd1o3IMqSGOSCvjCFTQ3RTsUOP5CL/tnsvgPZHuoCWgiT51ozAF8Hywhc27WDbJvhDoDAv0eoVUEQ43hxzx9vf1rkglbVInLXdf1n/RtCf9R9mXbOrOJ7U3O5rysylmDD3dipquq1h2+NKYtPPkBuURVRcyCcqGyZVTiDJsluK54ZjrVs1OVh2H5F6pZgwYuTSl54vRSVTZ5yX6sczkKWUHrGGUPQ84Z9M3/CsoU6axpBu7h0YjmvHSyUyqAmz57RUS4g5QSFVmefasFawWXtoUXUN3JPuTfcJ/6zIproHpfdQfrFlpVEOmy9SlW+k+ZUNRWCH/7Jtu9/lnvlaHychuqh0qiX4ogiOJYC6xFMWwbFEcPt+6iI4+u7BZvxTvRxsx1S3chZr9Z+dboE9xYRg0wtkewd/t4gLVOWuy0Unw7dTikQRvLTSBPYEsyTAAlMB7SwB3+c/3+xwCkjMxbUEX9OYFy9SZ4SKvHs76giDaS3bmRqD7y7aqGnk4KthATddH6gRBIOCQjYquMz2nEgD+et2vdskxaADxZ5z2KHMnPt2sIRwEuAx/pLm0SVyqC2kGA0KPp4BAdKK7F+glgUdpR4gTTI9QIAqeLOjj6gQDEt7sFYElOowICrUMHAOKoxRZrfc+kGCaKkp9UpQxMjuERxZ26NV5HFt959daISMTiqZHrHo9bOI82Vg71ztWhvWfLbOze4iw66XtUZ8hqBDBjLrQjqZAqIULJQZzFqwNqUwITaQHNm2lbLDWs3nCpLowhee73dgEhmu2U7/sFN/q1s1aVOK4KaKKtM3Zq0RxMdqyYwjbbNWh7FIich6MoJCa1rtkmGtYD2/PQ+QEotIK/SMQYDy+YxKtt0stanuwVwP8ERmrsqkYlmn7Rbdq7p2T66zw3+p1kCA+r3h2SwFlCLKfaSbSpKbGzTHIjg2yBlTDKUIjilA2lcPKYJjOzw/1cvBdkx1K2exVv8JML3I2xEVcAhWUwa+CLRz102QY5cSiaAuhIC73erPjiGlgNQYhINASpCDtGjnpg8bk5QWig0vVYiT7M4xavwCFnO0S+pYwbCdJqSI4FiBw2ktu48MpPLTfm3q4wT9dnApIZBPWavErmK2cx3VMpHSQ0Bp11tHBgFpu72lQAqpIUgV/LuWNdCWuws620VHh3VrEKD7OUJFoJjmRVb6jDUmFYpCxxzUzsgUAwVMpTYgQ5jAlaxZ8E/ZgNBB8BxxRJOik7v8fpZBjoAHETQIdvfgRSVk7Nk1xfozX37uqFHWev9R4vCRFLFNNdgrEMuQkO4X1m7tLNAeRT5l7R3fkZKiFksaIlP6Bp9lXQprQTCbJJhOOpmylvJ2QbhgfKDamcuH2cXGWJCwqXDKAqbdzkGZvpFqqmn9Zc1SvYzzcSrpnLPdnUaBXCo3ZB2STm2OZZpUMulwfO53wopsKv/Bjw/aHZNWNL66zHgEdvjPc+IGN2iIaeldfq/4PZQKvBUrhKb1XxEc0yK1GccVwbEZftjIURTBsZFumXlQU70czHzW+sKqEFir/7IOgADmxBObtoleRrTIXIRl3rRieQJxQYkXZ0GdHR1BBPMyJMAR/Apu7ZrZtfT5KDWHXUtydukNUiwE9HaGBC7IklGGOBEAS5FRLFDLUju28t0FaYK1aU3xTKkXi8qB7143c/hz91aqgMCfEsG/2aiWiSnBhzM5P+JIkUQED9yQQnbUBHR2ib2M2iEnL06lAyLBzjClC0MYCIDahoBSX8BOu1SUNLvWdsCHdQjJrhFehO3kKQIqcEGwXfSijYqDT6QOMAEvPyGlWLYa9m8BIJUKEsU5BMuILuO2286okvjbmup0ilnr/Qcjf5bZrWXatTzqOKREpmS0OyBQ9lD4sHFdLdrpF/yL4Oyaujn8ZW1mKkZ2/hEMZXqH54gaPu5f3T48q/bbbz4FR7t1cntcFFzSnLIwaI71qKMaRZHnTqbMTIMtslZgp63zKMt0JZ9TsKTaI1VuPqciWEYaXHtMSUh3iahp5rmLY6a6B/2OQrx4PqR6bRfXrK8uDoEd/suaMjZPPHut3+zY5rLztIJf3HBHnqkIjhWAvMBLFMGxQDC37VRFcGyHR6d6OdiOqW7lLNbqv5SZK7iH4LCTmTvhi0BbHQbycru2AlByaoG3IEWtC7JfwepVr9oUkJRCgZxQz4GqwAvSsIKh2b4vx5hBkfHnXEaNPzsPCL6RLUgKbRgFTAoLwmFaE9QLphEyy5Dcpow/gyqBILIhO0wYp0BT8NM1uc4KbiJf1D7QYQYpYn58Qh2TKQMIEDU5/uqvGpLLLr3dYgVOpZRka9oHPKCphdG27LTSLtToc4UKk6zqji13+JBXdrftyAsqk1ixi68Wh+CfCRKNKbvuWC+IG5ZqFjuEzJqx40/VQbmCrIMjEsScOwHSWu+/adfZOo/L9pyCa/dw1s3J9C5jG9fVIttDO87zwP02zPiWisizQoCd65fCJ2vqSAlDeiEf+HVQL2cuH6ZSw1gQr5kGg5DT2QfpSvmTls8yKTbum0VaG0tqMMQjG3VvL/La7XPpXuXe4/NM71rWtVrnncp/SXj5vYD4KdsYBHb4z/0q9czvdr+rPXs9IzINzXMfUb9hVgTHhjlkwnCK4OiXv1Y62iI4Vgr30i421cvB0q5eJ94tAmv1X+Z+qwEgbUNA6GUkUwF2O7msz2DHRpDpOggIu7J20+0AIwcE0VJN7PZIWxAUCUQFU8MUAI6jOkjL7g5SGpABAutRZveVIgCJgpywKywYJ38X0CuKmW1SJ80/z7WsyvC5syvw4Ju09q66oFD6Rdeykr3UHa0tKSCoW6SMmDPyQCAn1UVNCpggiNIEmL7XJhMQJmpttC3TWLqdF9TW8II7rLhiBpGKJNqNlx4gFcG5vBALNgWYaqswqhprMrv7tNMWtDG16652iDXs/64pOLTjmy0vM91HnRYYDGyt99+k9bUJn1s37tt2IU7jygKa/o2YlPozzFIl5jPkBqJgmOmgow4QAlQNCGojayrTp3yGILVGqXCQfFK35q1DlelpTtDeUaY082zKYqc51lRrIUIXnSqSWFKxwFIqn5SvcbguY2285CWNCm7FO+xT3YNZM0VKXTvVbhk41DlnQmCH/ygBkZCId89sxGgWzM7n+bh6SjNdfXEHF8GxOCxXcaYiOFaBck+vUQRHTx3XGfZULwfbMdWtnMVa/Se4paIgiZYOIce53UVjt4gLyr2o2/m3oy79wUv0zW/epKSQbiMzdMNQv0FQKt1BACrYRWJIwehaW+7qs3/8xyaQlUJBodEqIrnjuwqaIkSQEoKlTJXJ2huzdJER9FELIA50XJjHBONSZQT7XZNWgSSQIsA3adntwP8RAsOk66mSQGYIyASD/CzNAIlkl1i7Xp8hTHRpca00BJPUA8oU52J209VUSINVtoalpODLNOeCCX93LfOxpTBJ8TF3gZWXYi/HlDWuZYzOb/cP6ZTzfNSjmnQVNT0oO/gfaWJnFyljjHYRrb+sJ5BpEILX1jjXev/Ns15W/Z2shZEFYtvXF5DD1f02ihRs1+oYVigzz6eArUAoycLsuuA5Iaj1rOJv6i9qpCRC5iU4EJzOw9p1NXK81pH7Mi3r31BBeX4t2hBEnneIHIbcyLoki77WqPMhshBaiF/32Ipsqnsw09oUrhxGeq9orHWZnQjs8F+mpSEiqSIz7TOfEavsgjODw4rgmAGsDTi0CI4NcMKmDqEIjk31zGzjmurlYLZT1tErRGCt/hPU26En/xVE2k0fVdNhHkzstJN0S0MQnNplJ0HPVIQkOOzyCDIEOIJugbXikV76qTW61i5Y5jOEh4BcEO/FnOQ7A+/ud7Vs/Nu/bQIkZIdAgtw9U1PyXNPMV7487Iy53XZ1mu/mMfnSR3XSDWgy2EoCIL+T3VQcP0qt8olPNB1K1MWwa47ckF5C0UHNoL6G4BShQMmBgPJCyryUUkMwqSJ205kgtE04SfNRW8Dxgtz0FdKFT/liWEpC1m8gh1dYNBU4/k+tIohUbFFKiTkIRpn14DpIEWSWYqX+z48CYi/W1hyCDMGRqUe544400+3GnAe21vtvlnWyzmOtsVTPtMchrcQayla9w8bYri/RLUTbPh6JIWWOD/m+TWJKX/IZP+qigjBtdS6ay4dIPtdhUqTcUyzXZreTCJIREZhk6qL9gdyw452pVos+/zTnk6KGQKKoaqu5pvnuLo6Zyn+p6EFKzdMGfBfjq6+OR2CH/7JjimcGopuKi+XvOs+MDbQiODbQKWOGVARHv/y10tEWwbFSuJd2saleDpZ29TrxbhFYq//ke9sREygKTjM4JONfhN397k03FOoKwZBr2AnNTgxSUwSb0g8Eul7uVct3XO7WD5Np5wuUMSIyHO/lKVsJjqsjYiyKoGW72u48Be1Z7X0SBlI2pHLY+dRNpGsCfcHhsBSSPDaD9mGtZikStM3t5v0L8BEH4zoKZH2Vu961IXOkAtlBR3wMC6K8dCbm7cKOWYDVeO3Ym08e55wKgiryKiUmW7UiqNKn5PZdyxapgkhrLwkiMnQBljQBEmYvyNYQAiR9TTXS3nHPtp4CT3UV+DUJnHYQ6/sIGms7FSnz7v5PWhf7yufSSqybVB0Mm3cWyvUZZQ5FzTDzHPI8QnIKipzXfYN4s77sAl/zmg0J4JmCkBwETHM9Q5GtVEesrSzJVKZuTZkscpnqp0X72P0iJQ/Bsy5LlUTWOlnROKbyn/ubmswfz52yjUFgh/9SGer+RCh7njMbAlIP2+mWGzMLj5P9MOkDWdcGDayGMhSBIjhqYYxEoAiO7VgcU70cbMdUt3IWa/Vf1kKQxkD1IPiw26JQ4ywmGBF0C07tsKb5v11B5/MCb5dSfYWUhmcNDh08BLFejHwuiKXgYMM6NGQRM5+3JcuIACTNuDm4lhxu5AQJelu94XztThGTMFAjwM4iGb9CnV1TjFB3l3E7VggMRMawOh6pkBBctTttZHcamKqZMswoG5A/iCX1TwSIgkJ/tOYcZrnDRqKOKGCCHekglBsKkLb9oR4BkoJSwy54pvsksTCuXgH1iWBFShJFDSIFTjln17Zj76XYOmKUIgLm9o577uw6j/ogxjtM9eP70rGQaoPilH601vtv0vra9M8RRnyGlBhlCApqIUbthHAbZooSuq8dn2oR/vJMoABLVZdnCPLOGhvYXD7MFtnOgVxNIo58Xi0eKWHZPcYx5ujZpMbPqHoju/GX5wBSr13YdDfnm+e7UggptkYRtvOcc4rvTOW/TCnq1vqZ4vx1yHIR2OG/rGPjsn7fZkvz5Q5j12cvgmPXEK70BEVwrBTufl2sCI5++WvUaKd6OdiOqW7lLNbqP8E8QgIJgeAQRHs5GdfScJgXTj652W3VllMhwLRMB/GZF3gBizajKQ2nQJCOQIKuFoXdS+kUghkpJwwZQb7etnYHBNXYs5WsQNk1x8nIkSpk6Nl9o92lwTUEGHaZpjHjVuAyOz90v5OEwbi6HtQsCh4OI0myCGymcOT5MxUHpuMk7VJPkFgCNoEjBcY4y/FSVSAu2Kte1aSAIMGkfGQKgc9SMaPlpqKMuROeLTilw1B4DDN+oADw8oucGEW6tL9rTVDnUAGpQ8Ky1ohOKzCUqiIAHmbSiOySS5UY2Frvv2nW2CYf4zmRpNSocSZh4HMEFGJxmCko63kkVS5NDReqAnUh/BwpIY0KOZZpU/OSVGoNIbuY1C1pL2kIFuko2sKuyjyP7Har57Muy/aefh9kB6MVjGWqezDVhtbEOjFaAR59u8QO/7ULC2v1nh2vNnxiRXBsuIM6wyuCo1/+Wuloi+BYKdxLu9hULwdLu3qdeLcIrNV/We0cQUCaLR1AwGnXZRbLlASBiC4paalw8H8qAMGN3f6UhtvZlZagg4pAVXFIgSv5eI4BgWB3t20ppbbLasxJSCRhIxjPXf/29wRjdl+ljvhbZXctVO0sp6WaYNj8qSWQNdnBJWX1o4onCpSk2Awr0Jjntzst8KOAefKTz3zVbLHZ3fkWeB11VEMYZXHUYeOVNqP2xrStFZPgQBZkIcUs5phEgpSQW9yiuRpfIhuQJ44XhHi5lXKCLBtGTuU4+VeQiVgb5uNh8xGQ+k57xz3VPAgy5JhjRgVA/N8phrnW+2+We2wTj1UEFqaTAphMw7KuEGHDzPqh3vEnLbsFKUAsrcnaQ3Ag7qzLgc3lw6y14RxdclGanFS2JGJXgb26F8i3UQqXVYwBxmqRIKEp21ZkU/kvU+6QlJ4vZRuDwA7/ZWqlEfaoKGwRHBuzpKYaSBEcU8G0bx5UBMd2+H2ql4PtmOpWzmKt/stOBVI1qAwE+5lmMAvamVYgV97ufZoUBGqKNEUkERhZ44KygDpBGoLrUk8gLewkUkewdkCd58nuH9QJXqDSsjBhOwBuz8MuMNVImloSOjNIeUijXkC8IBuMva16EBwLQnQ3YeZBQaGQ56MfvROxbH3ZHWf7yKzjQSVBLdG2UakeFCMk9dQ3rYKZOwZAUi/onzZvnZJCYIP4oWxhCCgkTO7KtesoIFCQE/yf8naBpxdcuMI7C5d2B5e1UPx8HD7t70l1sosvAFUQl2XFfukwCDZr7BnP2OmLET9Z6/039Sg39ECpZgiOLAI7aphSpTxfxil6rBdpINIj0qjBBNyUYe5VZJr15DnlHhjYXD5sPwtSpbShMG/7sKbynxQ5RK3fFWqwlG0MAjv81+6cpG6Ouk89sCI4euCk1hCL4OiXv1Y62iI4Vgr30i421cvB0q5eJ94tAmv1X3v3W5qJFIR5iuhlkKkji138NG0/qTGyywISwK6s3P00XTME69ki0s4/hYaaDEz9CQF2qib8jErEcd3CnOTw5OuCJcE9owpRd0KqBKVJu76IGhbqSmS9CcfbzYWBXHt1K+TFp3WrwPu+cz7+8U172q5lQD4uBcM8kTjGJwBsWzuFqC0Z13pVW1XpLa2CmTuuTxkCu1mDgnYdjGyBm2lIMOBHRU4RJ1Qq0gVyR9xONIKD7J86Y1T7UIVMU2kxrMDqsBtLi1cpVO2iq6lyyZaz4wpZDjnnWu+/3T481v19yikEx7g1aIzUW+5Bz5usvzPN2JGNFA3urUyB8z0KA110BjaXD9u1QaickCZla0FgKv+lSjDbPq9lpHXRYQjs8F+2N3ewdwAbKT2wIjh64KTWEIvg6Je/VjraIjhWCvfSLjbVy8HSrl4n3i0Ca/Wf3XdKCWkZAlhpHbMU2czJZzcNgUy7owLCQ5Dv/AIhSgmFNxEDaYIXAYsdVRJ2hSXt0HW7krQLddrBp/SQrqCVaNuQJ2TwAl3foaJQZFMAYyfYC1ca9Yfc+3anD8SGGh+UC/BRZ8C8WAbrjhewZWoPQkVdjK5lCsu4nPZM40GkIFTaloX1KGxue9u9n9hx1uVhUsG9JCrsgrdVKpMWLR/CjSnI6TrsYQ9rdtjVRKG2MWafKaSqqKlUBIGn1BQqnHa6QfeaCKpMZ8rOGZPGJSWC0qddkyTnaO1S9kyb7jK41lrvv0nz3fTPrUP3mLU4zqieqKuQn54J0xpy8tBDm9ou7kHPDtZRaM3lQ2lqqc4aldI27TjruF0hMJX/UnHTLf66qyvXlxeBwA7/JRnl5NJLPZN7YEVw9MBJrSEWwdEvf610tEVwrBTupV1sqpeDpV29TrxbBNbqP8UtqQAoCOxo2u0XVF/72rNNK2ti+Fa7C4Kiec4vvUG6B7WGmhnt/O6HPzzimc9s0iIQHIqEkp93W8m1CY6sQfH975855SRfqJxf8dJ2IUFEjl1+5IdgCekhpUag7Y8d4mxBiriAAxXIYx/bjJ3UNju7JDoID+P6wz+MoFzoWhYQpbjQ3WWYUW4giEjwYdfu0JAEVKoo8vtqclBlwErtiVFG0SIguO99d9YxGefhJCsc000rcC6tccmQ4SEFJmuHSP8RhFLAmMu4nX2pSsgkhizSIWWSSclBwGVdEMendF26kHU2Li1myPnXev9Nmu+2fK41L/JulhbM5q5jju8iUtwfSfJ1atLM7UMEB6KjSyBuC+49mcdU/svW0g95yN7nRk/mt+3D3OG/NkEuFbGdprrBYBTBscHOGTK0Ijj65a+VjrYIjpXCvbSLTfVysLSr14l3i8Ba/dfuQOEFUgAxq4wcANku1L+lJ+h2IUhWSFIKhh1cdSoEw9Ib5OSnqaWAABBoSOU47LAm/QGx0DbFOjP4dy6ft3+Wx+qqoi6Gug7ZQvSAAxpFgkCc5J2KA4FBJSItR/oH5YedJykrUiCkXOjsIMDXLpJCIDu7dJ1uDlQlXVOME2mjlgD1yDCzQ22nmnVb4noxlAaCrMmin46jCDEeahfYL8OkBGm3SolhjGlZF0FakmKPbfJGVxfdUEiSFZIdVwwwW906b5sUGzeXxCrrgjg2667497TFVFvXWOv9twy/beI5M7VomOJq0ngRn4gIZJ9giXVaKs/tQ6Qm5RqCVqHjsrUgMJX/EMlZM2mYWm4tI6+LQmCH/2w85CaGNLZ1tj6ewUVFcMwA1gYcWgTHBjhhU4dQBMemema2cU31cjDbKevoFSKwVv958RDES0NAcFAEdAPaabBACKRCQSAiPUQArP4GpYFglkrCjr0d2bZKQeqIHVR1OlKxkKqO9rW1B820CUSJQFvw0zUdFwT9CArtQClBEDfmheDwOVLDMVQE5kzJISB3DbUh1P1gio0KgKSgIDFGtc81t/xOezyuS2Gh28jRRw9Hklomi7B1d7jb/sk0EWdxTuceVph0Gn9Nc0zuuitiSjmRhlzQyUDBR51c2p0xHCdtBXGGSGq1Y91xyfQNFQxya1StjvYXvSw7t/nzG6P+yBQihBI10gy21vtvhnH2+tBMLZpWqTNsstlFw2ftVsXztol1HqohKpF2Glavge7n4Ke+Bz2/EeZZALmf0926Ue/wH2I8a2YhvG1c9MCK4OiBk1pDLIKjX/5a6WiL4Fgp3Eu72NQvB0sbQZ14Nwis1X9qTdz4xo3SgRoi27VKrZjFnvvcCNJhJr3Di6i6Cl50EApSUNLsxOmekiknhx8eIVVGykh2DUGWKPbZtnYhSsQEUkVw0jXXVtODKgBRgnhAcuisod4H5QfCAkGCdLjJTRqFguKHCA4qDSqWtiFEFCJFRkhbMX51LdJ+67fO1LbyjJ/Dk/pilMLDgYI/rV7h0QnczuhMokMJP6UhFQTzCo0ec8wsnpr+WOoMKphuVx3/N2Z+U1ul3VYYltJ8EFWwVnx1lGWaDTWPYqTTmPPDok2qIMbOc57m22qjqM8wg631/pthnL0+lGIKUTatUmfYZN3rmcbUUYLM7UP3unvecxDRW7YWBOb231pGWxftIrDDf1mQ2oGT6kRtEJxFcGyQM6YYShEcU4C0rx5SBMd2eL5eDvrtx7X6L1t72mGhhlCfgmrATvkslikjvmNnHoEgRQVpghiQctI2tRsoRphrUS4IWrJgJIWANIxUUDhO2kMWCFUYVB0I3+ladhjRTlS9CIERAkKKCEJAkUzjoT5AkqjNcZWrNAQC1YcxeEHL+hrOj/xA0jiGPN7uVHsXUatXHUu6lgVEx6WSkO8jd+Qtq8UhJSXNzvIwn2Qqz6jaH7P4btSx5irw07WkrVwRpJL2U+HwL0KDn5i0GfjAvN3Kddg1tBOWdkOVI8icxjLlp034WLc65zAKoSTapjnfbnb/pzx/HRZNagnSa1qlzjDQEID87Lni2ZE+340PpaUhYqWCZfpLOWzlCKz1d+DKZ7t9F9zhP78XdNdinvFI/h5YERw9cFJriEVw9MtfKx1tERwrhXtpF6uXg6VBu/wTf+Qj8d2jjooDyO6zov/yr7r3CoJR6RkCWYGDgHxcS9NRY5OCodOBAAap8OIX7z1Sekq3nkbWd3AUpYDCkApEZlFQdTgEsVQCFAPqerTz7qVmUH1QdXSNqkD6gqCF8sKuv2CdKgR5oIWd8dz73k2qg+tLq/AdRIPzMiqFbHmrhoe0G0QGdYcuMOo9pI16ibMrjDAyBuMfZupWCNYQCdkuFoHAvBhSgXQDsKzip4r4AAAgAElEQVTNMWt3lFnWlrok1Diwb8/VOVLabwdcDYw0vk/lDcIHXqMsO8QM6x4z6juZ8uN+SZVR5ub7Tjt1Zcq51vNzSqB2c5j7T50ZZNhuTMck5KMc/5bN7UOFadXraZOnuxlffXcuBOb231xXqy8tGoEd/mt3KJJS5HdyD6wIjh44qTXEIjj65a+VjrYIjpXCvbSL1cvB0qBd/onVMdB6U2Dd7iyy/Cs3V8hddEG4l5JUKAjIZzGpAVIOkDR286kn0qSGSBVpm137bCerjazdnn//94bo0Inj6ldv0iOoKagBpIa0W61SCiAEHNO1THOhzkBiUGtQaFCFCMwRF2p4ePHyfcG7n6sZoUaA9AfzUIBU94ZUkSg0Kt1GXRHfGagWTt9vv9hPJxQkUdeoQ+xc68CSdTa6x1ziEg3B4jhpM4qwIlmoRnRPUROk2/o0yQEtWaXjLMN0Q9H+FSGkSGzbdMJRN0X6D1zTqGQyHWlSu1ZrhO8VopXmMo25lhogguW2gibrd7TTZaY53252/6c8fx022MW1ZtstpOcBRttlCiL3fsvm/h2o7o77uZsaNs/Y6jtzIzC3/+a+Yn1xkQjs8F+bdPb7i9qyB1YERw+c1BpiERz98tdKR1sEx0rhXtrF6uVgadAu/8RUD4J/L/5ZKHH5V917hVQI2BHXUlSg3q5vMGks0gOkUbzudY1Sgcwb0dE2NREQIG076KAmcGbUEQJ8BIAxqG8hoP7GNxr5uIBGu1kKiiOOaL6DnEBGKBzatczVv9e9mgDc2Fwva1hQdRgjEoGiI3ebKDyksmhlazxID/U2qDNgot3qC1+4N+AfqBhOPe954+wIlGFjydoD47p7XOQiTQtXu1yIAyk0/iBYkAi6wnRb9yaJ87SnnbkWyCR/zfK5FB7teIeRb/yEVOgWBoUX8ogNU360r59k1jjypzteJNSb3tS0iqW8SctxzFHjoZ6fsyyKOY+lvHF/ay28G6Po4mM1g1o2tw+zzowaOFe+8m5GVt/dBQJz+28X16yvLg6Bof7ze9zvCb+/KAF7YEVw9MBJrSEWwdEvf610tEVwrBTupV2sXg6WBu3yT0zdoF5Fu0PI8q+69wraI2aRT7suZP/SJNQ6mMYyjUGwL59dOoqftU26itSFtknLEAAztRwQAZkact7zNkGMlBk1MRjFR7u+gsrsXqA6gc4Zl6ACQRhRCSAeqC0yIB5Wt4J6xhj5I+35z2+IGSSCFBzkjTEqaimFhPLghBPiJ5e4RJzL+ATdXaNEQUYogqng6jAzVgEgUiPb0rr2Ax/YqBWoFroBvV1nu8/PeU6E+SzDso2rAqDttr7jrkXlYtxsEtmQNRUoMaTcTGNSk17zmp2FT5PgyMK105xrcEw9P2cAa95DKa6opTrKi5lPh/AUNCEgWza3D6096SndOjMzD6y+sBsE5vbfbi5a310YAkP9J+3SBojfX+PahS9sFLs/UREcu8dwlWcogmOVaPfsWkVw9MxhI4ZbLwc99qOUBHUU1DFQz2DV1k6BEBxKqfAzpMcky/odeRwCAOFgHu1g/tWvjvjd3z3z2RTWbAc77VZyUjayeKjzSF/xstROxxCYqIOh5sIwI2XP+hmwVfQsg6JhqgfEhXSJdioG1QRFB2UFMkGQL2j30iagHtTX+OGVrxznE3QNS7OwK5w/7xRGPGPYyBfFTyldED9IGUVbpapoZWsMSBKpNWnqBqgfoIOK7y7DjMPck7CY5hrZGQXhRWEzyfiQr6iApjEpR5Q83YC0CI5p0FvfMVLhkBOpwFrwSOb+HUjBhVyz1rVFLlsLAnP7by2jrYt2ERjqP7/X/L6kmKS664EVwdEDJ7WGWARHv/y10tEWwbFSuJd2sXo5WBq0yz+xYFuXEekYgr1Vm9zYLJzp2ogDaREUBZOs3RrWsbp9SOWg2KAwkH7DBOm6iLRNsP6Vr+wlQihGKEdY5sX7NzJBPQwKCK1W1SxhV71q82fUi5OCoYJzSgsKBIUJU4UgbeWe95w0u72fI34URXUeSg8pG8yL21veEt899NA4gP/adUfy21JrFE9lo0gs80NyIbsE6uasloX/J2GgPglc0oxJbRGYrGPdjEIvU56M1ZgnGR/q0DKsA82w70oT0p2lG5BK8RGsSqmZ0er5OSNgG3j43D5UzFhRZeSLNLaytSAwt//WMtq6aBeBof7zO5va8bd/O+L1r+8FaEVw9MJNZwyyCI5++WvcaG8ZEc+JiLNGxEsi4mmdg5X0f6X69oNjHhURY0sXF8GxHYujXg567Mejj2526ikWdAhYtbVrPAiuFfOULytvdpI96UmNqsK41dNoS1Gz3atzIFEUGmubuhZ2+MnDWTtPV7CqU8lZztLUx2BUHdQlCBi1MhxD9aEI5jCjOpAuIYCm5EAIaE1LyTFLjZE8d6aa2OVNIkP6yvOfH9+42c3iYuT3SI6uqb3x3//d/HTYLnHW/4Cl4Dy7Q1BlPPnJjZpG6swJJ0Rc4QqTPLL+zxX/PPTQpt6JLjiTjOIHeaSg6jT24Ac3NVIWGJDW83Ma4Df7mLl9mG2H15UiuNmwrmx0c/tvZSOsC41DYKj/pF6qs6SulLTCHlgRHD1wUmuIRXD0y1+jRovUOMEeaUSo0vUvEXG3iPhs6wvHRMQnIuIvI+IqA3Lj4HHTL4JjOxZHvRz02I9SEbQsVXxPEL9qQ2aomaEAIIJDwUf5su3OGKPG9NCHNukCUgwUKVXUMwkHtTMUz2Tk6VrRto0aQovXa12r+ak0jDe+sfm3Y6W/UF/YAWKKeKYiwM+1m9TR5AUvGD66VMa0K7gjYpAQCA/ExyyGgEEGITp0XGDaoT7xifHV61wnLilQ77Su3HOMa5qDVJuuCsPnJLykvIpzImSSDKF4ectb9o4QYSQlZdONTxExy9q103GIimeBAWk9Pzd9UU0e39w+zLbD7l0BWdlaEJjbf2sZbV20i8BQ/6mBZRODWpJqsgdWBEcPnNQaYhEc/fLXqNFeLyKeGBFZ+e+PBwce3frCiyKCFvrpEeF4+vDrj5t+ERzbsTjq5aDHfpRm8LjHNYGtIp2rNq1XFQAUtFNMICukfUi/mGReXHROUZhUp5IHPajZXWfSLNTNYI65wQ12ni3rSPik/RKUhUvb6SDqe3S7lAh2syVp9+zGY+fIjr9UGobU0C1hno41yBwFPc3DfNigoOVXfud34hcVA0VWdE3xUcoRigMkEgKpbYgPCgbzQJgkiUPRkOoWx0/qSDLJV6v6HLbmDK850kUmDlOx16c/vSGTFhSQ1vNzIuobf8DcPvTs8wzMwsEbP9PtHODc/ttOOHo3q6H+s8Fho0O7cS3be2BFcPTASa0hFsHRL3+NGq0Edikq2YrgHhFxaES0ey/St783Ii4YEee2DxoRx42bfhEc27E46uWgx36UhvCEJ6wvgKUSQGYoYqkrCaWEug/acU4yu58CdzLv7DQi5SaN0kLtC+kmw1IQpOWkakVKhoKZjBLkVa9qCn5mK9lb3jJCfQc589I1XBcxBL9h9uEPNy1v7fYfeWRzBHICaWBM3famk+aK3BC0K74qbaRlX77XveJg483Wqe0PkRfmqNCoYoaImrYlIYCEIeOV4sF0kmkXal2XwmcSLt3PpdwgkqzpuxEZLtge//imUw8FD+XLAqyenwsAcc2nmNuH1qjnndQ13ZzK1oLA3P5by2jrol0EhvovFZPt3+0bDl0RHBvuoM7wiuDol79GjdZ2KvVGm+C4bkQ8uPWFoyKCvyk3vEW/NCKU3T+tc9L7R4Q/ceCBBx7yhje8IX784x/HeRQEKuslAuW/Xrptz6Av/cpXxmVe8Yr459e/Pv633cFjRVO6yPvfH1d98pPjYy9/eZx+lrPEofe6V3z2MY+Jb3VTSoaM51p/8Adx2jnOEd++0Y3iis96VnzxPveJr7S6pVz/jneM/U88Mf7lZS+Lk3Qo6djZf/CD+LXb337PT796hzvE5wftTi//3OfGJf/6r+Pki10sPjooTnaVJz0pLnrssfHVO90pzvHNb8ZFPvzh+OL97hfUE8PsrCedFFd/1KPihKOOOuPaV3vMY+LcX/ziGeecBeIDPvKR+OXHPja+eZObxL8jVlp24MtfHld+1avig+95T5zv05+Oc3z723HiIYfETy984bjhLW4RJ132snG+z30uPvnnfx7fz5Scwff3/+534/p3vnP8x5FH7pnfBak8hthH3vrWOJXkdx+3g97+9rjMS18aH7HrjpBbgNXzcwEgrvkU8/rwl44+Oi723vfGsVLMZiU91zznbbr8vP7bJgz6PJdh/rveXe4S5/jOd+Jrt7td/GduMmz4JA877DCbwlMWhNrwyewDwyuCYzucPE2KymcGKo9BRbs96Sq/GhHfGgVBKTi2Y3HU7keP/WinmwpBp40hJMDSZ9bu0qGbh/oJ1Aj3IBKbYNQeduu17qRsoHIYkBR7vnmlKzVqi25LzzytAmSZZpBdQ3ym6ColiO9ni9UHPKBReEjjoGaA27gUlWFDl1qik0m3o8ukefqcwkX9DV1LdPFo2ecf9KC4vFogioiqk0HJkV1hYKrgppoiurrc6lZnvprUE61hzUuNj1HdRBZYc2Ka6W7sMT/7WcQPfhBxwAELG2I9PxcG5dpONLcP7S6rD0DBUbY2BOb239pGXBduIzDUfwpy65TWTl3dcNhKwbHhDuoMrwiOfvlr1GjPNigy+hsR8bVBkVFbl0iNtL+LCFX6tBW4ckT8g94DMsVHnbQIju1YHPVy0GM/puRecUYtRVdtWatCW1cSbQG6wqFHHDF5JBQnim/anbnylZtAod1+NbuhjKovkgU2XUmhVakHLAuEXuMaEZ/8ZPOzRzwi4hnPaFI4pG78xm801822sZNHu7sjFEWVNjKEVDnhyCPjis9+diN1V1xTTRLpKMgZ7VLVFFGjY1jx1izK+epXN21yX/va4ePUmlZNkrKFI1DPz4VDuvITzu1DwZfCyFnMeOUjrwtCYG7/FXwbgcBQ/3mXUGfLpofNjx5YERw9cFJriEVw9Mtf40Z7eEQ8e9ACVsWep0SEBHR9Ft8+6Jzy4oiQa4LUeMSgJsfIcxbBsR2Lo14OeuxHgb1OKutqA6ruA7UGlYWioHZdqAmoMsZZtl1FMlBb6ICiY0k71e1mN4t43/tGd7zIFqmuo9jqYx7TXJEaQuCBIPnoR5uf6TCiwKSaHGovKIRKDaHGxapMpxO1QLTSbdnnHvnI+KU//dOIhzykeZFTsFXNEe1djVtNEeQP8qKbUqPoKRUM/LRVfeELG6JJkda2UbsgWMoWjkA9PxcO6cpPOLcP3a8IjhGpYSufyD56wbn9t4/itWnTHuo/alAE/io3InYJTBEcuwRwxV8vgmPFgPfpckVw9Mlbo8daLwc99qOgXuBMQXHFK65+ItJRBOBeRM5xjohLXapJBSHdHmeKPJ773E1HC+qKYZYdCiguRtX4kcKB6NBFhDqCUTNQgvz6r0d84APNz6QmaDmXrWdXj9TIK372cY+LqyBoEDLUKoqnKmhK9q7Aqk4uz3texEteEnGf+5z5PBQq6nJQeGi1CwdKHm1h21ZdHpbm8Xp+Lg3alZ24fLgyqJdyofLfUmBd2UmH+o960XvNwx/eqC97YEVw9MBJrSEWwdEvf610tEVwrBTupV2sXg6WBu3yT/zHf9ykZGgP6oVg1Wb3Uhs3NUC0Mz3ooEZ18Hu/N34k6mBMIkOoQKS7UCMgMoYZkgRZggD4g0FTKHUoFB+lAHmvxlCbbZ9+8pPjamqCsOyyQulBnkuZo6YIEksLXcqUtkm5OfTQiHe+s+nw8sQnNuk3ana0TToPAqps4QjU83PhkK78hOXDlUO+0AuW/xYK58pPNtR/2Zb9kY9s3nF6YEVw9MBJrSEWwdEvf610tEVwrBTupV2sXg6WBu3yTyztggriM59pWrSu2vSnpypQIFPqx4EHRjz/+REPfOD4kWTRzTe/eXTRTtJU7U8pNEaZuhLf/37Ei1/cpHQwqRo3uUmT8vKOd6wakZmvd/zTnhZXR1QxihxqDnU3/umfmqKm2ULXLpbdrLZRbVB7IHJgSsUCB2qPtlGwLKhryMwT3PIv1POz/w4uH/bbh+W/LfSfotx+pyH4peH2wIrg6IGTWkMsgqNf/lrpaLeS4Pjnf24KHmZ3hpUiup6L1cvBenBfyFWzeKYXgavp6rxiE0hLR1HtHMEhBQQpIa1inEkdye4gyIhhRpEgcPeCM8oQKt/61pk7t/jeda7TECcIlA234170ojgkFS9wkVpz97s3RUVPOaUhjCg3FFFVc6VtSeYce2wj59UtBkHSPU5nlmpjuZSVUM/PpcC60pOWD1cK98IvVv5bOKQrPeFQ/0m9lIKprbpOcT2wIjh64KTWEIvg6Je/VjrarSM47HKSvGOLuzulK0V2tRerl4PV4r3Qq2mPqu7C8cdH/PIvL/TUU52MckLrUykn5zpXxIUuFPGsZ0U89KHjv/43f9OoFP71X5saEvOaNBfXVjT0LndpziKtQ4tYJIEiqBtux77//XHji160affq+cOQRqnCkKZDJUPlgbxo23ve0xQu1XWFikYRUsVIzT3tLGcZr4LZcHw2fXj1/Nx0D00eX/lwMkabfET5b5O9M3lsQ/2n0PZxxzVpl5nCOflUaz2iCI61wj/zxYvgmBmyfecLW0dwnHxyE6R5mHqo7iNWLwc9drSUBK1O7XRoi7pqe9GLmnobCmMKzimf/uzPIo46avxI2qktOq/Mawpqqv/x9rdH3Pa2zVm+8Y2Ii1+8IQW6qRrzXmeJ3xt6/2mNp64IQ1ggkagzYNs2KTi3u11TjBQWPpfac8lLNnVLtKfV3YYSpGwpCNTzcymwrvSk5cOVwr3wi5X/Fg7pSk841H+/+qtNF7R2h7SVjmr2ixXBMTtm6/xGERzrRH/Dr711BIdgQCtF8m5y8H3E6uWgx45GJFBM7FYJMS8ECoqqt4FUQHC4f7Q8pSwZZwJxKqkf/GB3rVrVHVFglZLh5jdvrqhjiK4rxiW9Y8Nt6P2XtVWMnTrl938/4q533Tmfv/qrCN1mtJaVs5zGHwqTIkmkDinEWrYUBOr5uRRYV3rS8uFK4V74xcp/C4d0pScc6r9f+7VGmaiNvN+HPbAiOHrgpNYQi+Dol79WOtqtIzgEWxe4QCMFFxzsI1YvBz12tFSQ5zynkXJe+9qrnwgCQfcSdTCQChRQ07yQuMeQHJQFu6kNcc1rNsF91q6AwOmnN+qFhzykUbdsuA29/570pL0qMuk8MNYVhvKlbW94Q8Td7ja8i06SJPyi1W7ZUhCo5+dSYF3pScuHK4V74Rcr/y0c0pWecKj/1KL60Iem2zBZ6WhHX6wIjg1xxJTDKIJjSqD2xcO2juD43vciDjggQuFGnSn2EauXgx47WhCvqKcUBTmrqzYKAekU3/lOo97QinQaSanWslqZKk66G7vudZu5k7L6d5rCZLe4RdNhZMNt6P2nY4rnEHvXuxqyRuHU173uzLN51asi7nWviC98IeKylz3zZ9LsECVI2xNP3HAU+ju8en7213c58vJhv31Y/ttC/x12WITi2dOkvG7I9Ivg2BBHTDmMIjimBGpfPGzrCA670LoykP13c9232MH1ctBj5+pW8hd/sTPAX9WUqEeoSJCD5ztfo5xQ8RzBMM5udauI73434mMf291IERhapa6rBsnuRr/n20PvPz7NTjQ6yXgmXeEKEVJS2tbuYqPgatu0l6WUQdoioMqWgkA9P5cC60pPWj5cKdwLv1j5b+GQrvSEQ/1305s2myDPfnZD8PfAiuDogZNaQyyCo1/+Wulot47g+PrXIw46qHmYeqjuI1YvBz12tPahL3hBhPbGhx66+omo/yH4/v73G4JDx45pivRKp7nEJSIUydyNaTGrVernPtd0TumhDb3/sgir+ZgfNQei4u/+rpmhlByKjXe+c28NFORs2zzDFBz1czU5ypaCQD0/lwLrSk9aPlwp3Au/WPlv4ZCu9IRD/UeBidynEpWi2QMrgqMHTmoNsQiOfvlrpaPdOoJDu0m7oB6m2cFgpYiu52L1crAe3BdyVYU0FfpUjOt611vIKWc6SRYL/eEPmxQVBMdjHjO5SC8i8da3jtBmdjdGCfLudzctUnfTjWU3Y9jld4fef1lbw7kpVNTTOOtZG7LjtNMaMumIIxpVRypoLnjBM4/khS9sipPC+mtf2+Uo6+ujEKjnZ//XRvmw3z4s/22h/w4/vCH0beD4PdYDK4KjB04qgqNfTlrXaLeO4Piv/4o4+ODmYeqhuo9YvRz02NFatGrV+uEPR6g6vmrLWhE6EOmicvazN2qDpzxl9Eh+/vOmVof0id12K/rN32xaxFJfXexiq579Qq439P5729sibn/75vzSeHR2UgSZUgdZoQ3sne/c1B2BtyKiiom27RWviFDrBGm721onC5npdp6knp/992v5sN8+LP9tof+0fadQ9H6jTXoPrAiOHjipCI6NddI5I+I2EXHDiDgoIk6OiE8rQxcRn1n1qLeO4FCo7/KXbx6mHqr7iNXLQY8d/YAHRBxzTFNtfB0FNRXjpS7QmlUHFcSFtAj1H0ZZ1rpRZ0KKzW7sLneJeMtbmiKaimn20Ibef3//93vb3n7iE03aDwJWrZEPfjDiRjeKUIRNnjLFjG40++9/5tmnCuQyl4n44hd7iEw/hlzPz374adwoy4f99mH5bwv9h+BH9KszdZ/79GKCRXD0wk1nDLJSVDbHX0+MiNuqSRcRx0XEtyIC4XHFiDhs8O+HRcTxqxry1hEcJ5zQ5PHf+94RL33pqmBc+3Xq5WDtLph/APe7X/MC0G6TOv/ZZv+mlrCPfnTEySdHnPOcDcmBtKDsGGXHHx9xjWs0xMSd7jT7NdvfuPvdm84iP/lJxC/8wu7OtaZvD73/KHJuiMdGXX+m6YaC3Pj/7J0FlBzV8sa/R3i4Q3B3DZLgGiQEd4IEh+DuzsPdHv7HHxJcHk5weGhwd3cnuP3PLzXNTpbZ3Z7Z2z23e6rO2ZPNbve9devr3un7ddVXr7xirWJ54JtrLmnNNe13lK20b7dLe9k11jDS9rXXmrS68k/rfz+Lj7FjWGwMHb8S4sezAaLaF1xg5ZgFMCc4CgBSlYtOcMSD10qVTI2OPJpY0tSSnsjL5dIRHC+9JM0+u7VdJL27RcwfDgoM9JZbGhmHNsNSS+W/EEpRKJ9IMgjQ4SADqrMuRAiHISAWoqyGEgzuVcpe0P8ooNW8/558Uurd21YD8UqcwZgsDjI2jjxSmmwye/A7/njpl1/+vnK0SdAogbRFhNUtkwj4389MwprroI5hruEOPpnjFzykuQ5YE79115WuukqiFfpGG+XqT6OTOcHRaOSac54THM2Je2ezzivpqRjcKh3B8fzz9lZ04EDpP/+JIcS5+OAPB7mEOZtJyDbiDcfdd1vJQt6GhsZBB0m//motYscd13QfOutCxAMLJOLrr0szzNA9j9EgYf0QLAW1mvdfQrayprfespKf666TPvlEWm896YorTO9kp51MZJYSofYGIUKXmTnmkPjb5pZJBPzvZyZhzXVQxzDXcAefzPELHtJcB6yJ3wYbSJdfbhma66+fqz+NTuYER6ORa855TnA0J+6dzXqPpMkkXSVpcDO0NxLnSkdwPPOMNM889seUP6otYv5wUGCgkwyGIUOkZZbJfyGHHmr6EEkGxQQTSJSNdNaF6Nhjpb33ri2MWe8KaFFLBseXX9Z7ZjTH17z/EsFjvKS7E1kaZOrQraZPH2koVYoyMgniAw2S9vbww9Iii0i9ekn8bXPLJAL+9zOTsOY6qGOYa7iDT+b4BQ9prgPWxI+sjUsuMTKfbI4CmBMcBQCpykUnOOLEi3YB3PEDJI0j6QpJh+ftaukIDjYNbB4QLrzyyrzD2bT5/OGgaaHv/sRkQpARQdnHcst1f7x6RzjkkBE1IHr2tPunsy5EkBK0h6XzR3eN7iDoSzSD3Omu75Xza95/n30mTUzVIWpLn0onnmhlP5Si0A72t98kOtdQ6oMIKZkd7Y2fzzefNO+8EiUvbplEwP9+ZhLWXAd1DHMNd/DJHL/gIc11wJr4UX550UVhtLpyWo0THDkFOtA0TnAECmRGw8wlaa8K0dFOQj+jGauGLR3BQTvGBRc04b5rrsk+gJHM4A8HkQDRiBsbb2zlVLff3tZ1o5FxGj2H8pTDDzeRS4xWraifn3VWxyOS4UG7U7oWuanm/Qd5gZ4JRnbGqadapszXX1u3GDrmoGFCSR2/f++9v0cyKXOZf35rNeuWSQT872cmYc11UMcw13AHn8zxCx7SXAesiR9C2ghqk6GYtEzP1av6J3OCo/6YNfMMJziaGf3ac89WITTWlvRFpUyF3ThdVXK10hEcSUr3aqtJdCBoEfOHgwIDjV7MpZdKt94q9e+f/0IQGEUfgowCbPLJpZVWsgyNjqxfPyu1gORwq01wUPKDpgkG2XH66VbWQ7bKTDNJEFtk7kw0kREhtdrAot0x/fTSQgtJ/G1zyyQC/vczk7DmOqhjmGu4g0/m+AUPaa4D1sQPsXKeI268UVqFBpLxmxMc8WNU7aETHPHhxa7g8ooGx4fNdK90BEfSmnHllaX//reZoc11bn84yDXcYSdL2qTefLO04ophx04zGi1iq7t4TDWVlcrw5qUjo2Riyilb6h7rLJQd3n+jjmolKXwhJLrzzkZULLywdOCBEgKvWEddUj76yAgnsj0eeCANmn5MAxHwv58NBC2yUxzDyACp0x3Hr86ARXZ4Tfy23dYyQZv1bNNAjJzgaCBoTTzFCY4mBr/d1OdIulXSEEkBite7v7DSERz33mudKGiteMst3Q9QQUbwh4OCAFXLTQRxBw+WbrrJMifytn32sY4pP/1kM087rS4qgZsAACAASURBVLWr7azNchoSJO91NHG+Du8/tDYoSaH859xzrf0uOEPA8n9aBGNzzik999zfV0DpCqKvSy4p8bfNLZMI+N/PTMKa66COYa7hDj6Z4xc8pLkOWBO/HXawzEXanaM1VQBzgqMAIFW56ARHPHgtJIkcdFol/CLpDkm3SWqaPH7pCI677pKWXdbeQCPa2CLmDwcFBjppGdqsNM699pJOO0364QcLIiURiy7acZvlP/+URh/dshGOOabAgQ/neof3H9kXiI3SghedFcpSII4QX6MkCSIWI4sHtfn29uOP0hhjWKtY/ra5ZRIB//uZSVhzHdQxzDXcwSdz/IKHNNcBa+LHMwLaU3feac/lBTAnOAoAkhMc0YM0oaR+knjCRWj0qQrZkWvrj9IRHJAaMMUttiHwh4Po7/eOHaR92lVXmWYM2jF52x57WBopOhEY+hCIWnbUZpnOKeOMI9Eqds898/Y2yvk6vP9mnFH68EMjj66+2rrTUA5EzCmno/QEg7zgb1Z7I/OjRw8Tn0WE1i2TCPjfz0zCmuugjmGu4Q4+meMXPKS5DlgTP7qtnXSSdPfdllldAHOCowAgOcERNUg9JP3ezsPeleyOI/L0vHQEB29F0TFosZRufzjI864JPBebXja/zVIa5yGEcglEQ7FZZ5XmmcfKZmoZYpgzzCBdcIFlIrjVFhklLr16SbTBpUyF0hSE1hAaJfPl6actzhiCpCONVDuS6HjQQreFSu7yvqT872feEQ8/n2MYPqZ5juj45Rnt8HPVxI8XIBD6990nLbFE+EkzGNEJjgyCmuGQXqKSYXAbHPrdSrbGFZLulvRng+N0+7TSERwIi666asuJ8vnDQbdvheYNsNZa0rXXWltj2hvnbbvsYmTFN9/YzLPPLs0xh2WV1LJHH7WuHs3SDMk7Pinm6/D+o2U1hBBlKvffb8TrJptIF11k3VRoAzvWWJ2/3Rp3XHs4bCHR5BQhD3qI//0MGs6mDOYYNiXswSZ1/IKFsikD1cQPfS/IfLIVKXstgDnBUQCQqlx0giM+vEaXRM+k9STNJ+mmSqvYB/N2tXQEB2n+a6zRcm0V/eEg7zsn4HyQGmRvQCisTefonG2nnUwfAkFLbK65rEwF0qWWJZkIEB0LLJCzs3FO1+H9R1ruK69Ymcozz1jGBvpA1CTzs8km63pBk0wiLbKIXSNumUTA/35mEtZcB3UMcw138Mkcv+AhzXXAmvjRgv6II6ydPGR/AcwJjgKA5ARHYUAaX9IpyMxJonQlVysdwcFbcDaJaAg89liusWzmZP5w0Mzod3Pu1VeXbrhBuvJK02jI21A6v/xy6YsvbGY24dNMYz7VMrI9Nt/cMhOmmy5vb6Ocr8P7j3K5F1+U3n5beustE3AlO+aFFyxjBi2Trgws+HtGGZNbJhHwv5+ZhDXXQR3DXMMdfDLHL3hIcx2wJn4HHywdeqj0+ONSnz65+tPoZE5wNBq55pznGRzNiXtXsy4paUBFZPRxSZSrXNPVSaF/XzqCg03igAHSfPNJQ4eGDle04/nDQbTQdO0YwqJ0UEHzgms3b9tuO8seoYwC691bovtHrZIIunqceKLEmxk0O8YeO29vo5yvw/sPspXMDcpRvvxSmnBCidaxZMv89psJiHZlECLzzlu7y0pX5/rvU0XA/36mClPUBzmGUcPTpXOOX5chivqAmvhBbkByPPmkfYYVwJzgKABIVS46wREfXm9JeloSHVNulPR9s1wsHcFB5wdaLs49t4n4tYj5w0GBgUZ4krIPrt31189/Idtua+Uon3xic5Mt0LNnbVHLKaaw0gqELyE7/uEfL4Ssw/uP7ijvvWdirBAa//ynxXi00Sx+aYxSIEiRmWdOc7Qf00AE/O9nA0GL7BTHMDJA6nTH8aszYJEdXhM/ylN4GQLJj+B2AcwJjgKA5ARH1CCRl1xpWdBcP0tHcKAlsPHG0pxzSs8919zg5ji7PxzkGOzQU628snTzzdKll0obbBB69K7H23pryyD56CM7FgFRhC1rtSWtJjT+bJo2ctdryvmI1PcfgqLff2+ZHJ9/nrOXPl1HEUiNn4cw2gg4htFCk8oxxy9VmKI9qCZ+Rx8t7buv9PzzVppZAHOCowAgOcERJUgHSDpD0pcdeLe0pDEqoqO5LKB0BMeFF0qbbWatLulQ0CLmDwcFBhqdBtobQ84NHJj/QrbayrI1PvjA5kbtfIwxTAizvTnBUROf1PdfkgEz9dTSO+/kj7XP2D38PH7RRiD1PRjtClrbMcev2PjXxO+446S99rJncZ7JC2BOcBQAJCc4ogRpNUl7SfpJ0pOSKHofTdJMSPtJGiLpyMrPc1lA6QiO886TttzSukC8+mouMYxhEn84iAGFBn1YYQXpttusdSjZR3nbFltId9xhpRTY4otbKcXddLCusl9+sdIU3sTsv39zymnyjk3K+VLff7Tg5WFvttlMfNQtigikxi8Kb92JWhFwDIt9XTh+JcQPva7dd7dncZ7JC2BOcBQAJCc4ogaJO52m0PQIpBCbVIP7K9/n6njpCI6zz5a22ca6FbzxRq6xbOZk/nDQzOh3c+7llzeCgeyjTTbp5mANnE7GE2RGklGw1FIS5Sf33TfiYIiQTjyx9O9/S3RecfsrAqnvP8p/0NRAUR5lebcoIpAavyi8dSec4CjfNeD3YLExrYnfKadIu+xiz+I8kxfAnOAoAEhOcEQJ0r6SbpP0VCzelY7gOOMMafvtrc0lrRlbxPzhoMBA9+tn5SDnn2/lVXkbpMr991sbU2yZZSSyNR54YERPeEiZccbmZZrkHZc65kt9/yVkFiTSPffUMYMfmmUEUuOXpRM+drci4Bh2K3xNP9nxazoE3XKgJn6nnSbtuKM9i/NMXgBzgqMAIDnBESVI60nqL2luSc9IulXSHZK+apa3pSM4eLu8004Ste7vv9+ssOY+rz8c5B7ycBMuu6xEt41zz5UoF8nbNtpI+t//2jKellvOhDD5WbXR6o0WstdfL9Ha1u2vCKS+/9Zd11ryrrSSdc5xiyICqfGLwlt3olYEHMNiXxeOXwnxO/NMiTb0lL9OOWUhFugERyFg+stJ7+MXJ140hYbs6CepR0V/g+yOx/J0t3QEx8knS7vuKk06aVtXiDwD2qS5/OGgSYEPMS0ZE5SI/N//mX5M3kZb5ccek157zWbu31/66isrpag2Mg6WXtoyD8hAcKuf4EDQFSILouOKKzyCkUTA/35GAkQ33HAMuxG8CE51/CIAoRsu1MQP7Y1jj5UoHe/BNid+c4IjfoyqPXSCI368aBu7nKTlJQ3K093SERzHHy/tuafUs6f06ad5hrKpc/nDQVPD373J+/aV7r3XHgIG5Xr7m9/rry+RnfHKK/Z/sgs++UR64okR13XDDdLqq9ux88LPuiURSH3/7bGHdMIJVopESZJbFBFIjV8U3roTtSLgGBb7unD8HL8YIuAERwwopPfBCY70scrzyEUkTStp5KpJL87TAeYqHcFxzDHSPvtIE0wgffFF3uFs2nzBHw7++EMaaaSmraelJiYbAkFP0jkRyM3bBgyQnnlGevllm3mVVaxlLERGtV18sYmgvv66NMMMeXsZ9Xyp779DD5UOPthEWimnc4siAqnxi8Jbd8IJjvJdA34PFhvTsuDnBEexrkMnOOLD6z+S2CE8Len3int/Stopb1dLR3AceaS1sBx3XOnrr/MOZ9PmC/rh8sgjElkFCENNMknT1tQyEy+xhAl6IpC77bb5L3uddaQXXmhrW0qWBqmlt946ojBYom9DN5WJJsrfz4hnTH3/JarykLBHHRXxilrLtdT4tVZYCrVax7BQcP3NWcfP8YshAk5wxIBCeh+c4Egfq7yOpC3s7JIgNZpqpSM4DjtMOuggacwxpWHDmhrbPCcP+nBw+eXSBhtITz0lzTNPnstozbkWX1x68EEJxXE6AOVta61l5SnPP28z8/9rr5VGG016910r98IOP1w68EDp55+lUUbJ28uo50t9/9EKmPIU/k4dcEDUa2ol51Lj10pBKdhaHcOCAdbOXcfP8YshAk5wxIBCeh+c4Egfq7yOvKqSrfFRXhN2NE/pCI5DDpH+9S/bnP34Y7PDm9v8QR8O/vMfaeONTWRygQVyW0PLTrTootax5NRTraVa3rbmmlZ28uyzNnPS6YPvuRYGDrSf77WXlVW00H2VForU999110nE+8QTTQzZLYoIpMYvCm/diVoRcAyLfV04fo5fDBFwgiMGFNL74ARH+ljldeQ9kng1TseUn6smXTUvB5J5Skdw8Fb0iCOkf/5T+uWXvMPZtPmCPhxccIG0+ebS/fdLZBe4ZRuBRRaRHn5YonyBFsd5GyUplCM9TcWcpPXWa+vwgQDppZdK//iHtPXWEkKjH3+ct4fRz5f6/qNbDl1zmiUoG30km+Ngavya457PmiICjmGKIEV8iOMXMTgpXCsLfk5wpAA7okOc4IgIjIorS3bg0n1duEpb2VMqbWXPlXR0jePXlXRIpfzlGUkbdDZm6QiOffeVjj7aBDJ/T+RN4rsAQnsU9MOFdqV08xgyxDZjbtlGYKGFLFvmpJOkXXbJdq5ao6+6qvT++22iorSNvewyO5JMqNFHl846y8pWKFtKuq3k72m0M6a+/4YOlfr0kS65RCLOblFEIDV+UXjrTtSKgGNY7OvC8XP8YoiAExwxoJDeByc40scqzyNRb5y/MiGZHF31NKWJ9KuVdrLvS3qcBo+SXqxyeiZJV0paWtJXkibuatzSERyk0R93nIWETiC8eW4BC/pwQDeP7baTbrlFWmGFFohek5e44ILSY49Z+9DddsvfmZVXtqyMpC3sRhvZBnzOOU18dKqppI8+MuHeaaeVHudPj1t1BFLff+iXUJpCJxUX8I3mIkqNXzQeuyPtI+AYFvuacPwcvxgi4ARHDCik96E1dnjp4xHDkWRZsAu/VxL4UAewp6SrO3Fu4UpmxvKVY/at/FstxX9shQQhuyOVlY7g2H13q2/Hfv1VGrm6C2+qkBTyoKAPB0m3jOuvl1ZbrZDxKJTT889v5MLxx0tcv3nbiitKn39uJAsGqXXbbaYJQqkSpV5TTGHaG2T0kNnjNkIEgt5/HtvcI+D45R7y4BM6hsFDmuuAjl+u4Q4+WVnwc4Ij+KWR6YBOcGQa3oYGp3RkuarsCtoUsGuYu5PR1pZEicqWlWM2krSgpB2qzrm+QnAsWiljoVTlts48LB3BsfPOtjHDfvpJGnXUhgAq2klBP1wolSCT4MorJVqIumUbAUoWKF049lhpT3jOnK1/f2upTHtgLMncuPFGaZVV7Gccc/vtJpB5zTU5Oxj/dEHvv/iXWzoPHb/iQ+oYFhtDx8/xiyECTnDEgEJ6H5zgSB+rvI58TtJcVZONJAnSo/pn7X1hp0n2RjXBQYuL6rYLN5G3QB8ESVNKeoDtiqSv2w02SBJfmmSSSXoPHjxYw4YN01hjjZXX+jObZ6ZTTtEUZB5Iuv/WW/UHGgItYCHxm2rwYM1w9tl6ab/99Mly8HBuWUag96BBGvu11/TGoEF6D1HPnK3Xnnuqx48/6ina1EpabOWVNfL33+vx887T99NPP/xnU155pWY880x92bu3niXTxG2ECIS8/zy0+UfA8cs/5qFndAxDRzTf8Ry/fOMderay4Ne3b9+hkvqEjo+Pl00EnODIJq7dGZXylF6SLq8MMkASPRr37mTQNCUqZ0niNeyFlXHukrRPRa+j5tCly+DYdlsTRMS+/VYae+zu4FSYc4O+/TjqKGm//aTzzrMSBbdsIzDvvNbBhLjvw+2asy27rGU7PfigTZzo1nzzjTTOOPYzWsjOPbc0wQTSF1/k7GD80wW9/+Jfbuk8dPyKD6ljWGwMHT/HL4YIeAZHDCik98EJjvSxyvPItSRRSgI+90u6rovJEZNAZJS2Fh9USAs6pLxQdR4lLLwC3kTSRJKeqrSj7XBHUjqCg+4fdAHBvvxSGn/8PDFt2lxBHw4OO0w66CAJsdFttmnamlpmYogDCATaG0Ms5W1LLy399pu1BcbI2kFn488/2zzhe4gQ2ti6LsvfEAp6/+WNv88nx6/4F4FjWGwMHT/HL4YIOMERAwrpfXCCI32sYj9yRUknV/Q1zpd0hKRDJT0h6cYKWXJCRauDHqn8fnBniyodwUHGwQUX2JI/+0yaCJ6n/Bb04YAOD4ceKp1yim1o3bKNwFxzSc8/L0EsHXBAtnPVGn2ppeyn96J5LBMTHTZM6ok0kFuaCAS9/9JM6McEjYDjFzScTRnMMWxK2INN6vgFC2VTBioLfk5wNOXyaXhSJzgaDl3wE8kBX0zSd5KqXo8Oz+Lg/5V88ODzdjhg6QiOTTaRLr7Y1kvryxZpxRj0w2X//aUjj2ye6GV+l38cMyWinpBKBx6Yv09LLCH16CHdc0/+c5dkxqD3X0liUqRlOH5FQqu2r45hsTF0/By/GCLgBEcMKKT3wQmO9LFquSNLR3AMHChdeqnh+MEH0uSTtwSmQR8O9t7byI3DD5cgO9yyjcDss0svvSQdcohE9kzetthi1m3oLiR73BqJQND7rxEH/JxuRcDx61b4ojjZMYwChoadcPwaDl0UJ5YFPyc4oricUjvhBEfqUOV24H8k0ea12mr9LHOHSkdw0IVicKUq5513pKmnzjyGMUwQ9MNl992lE080HY5//SuG5ZXbh9lmk15+Odt4X3aZNOaYtfUzFlnEfnfnneWOc4arC3r/ZeinD107Ao5f8a8Mx7DYGDp+jl8MEXCCIwYU0vvgBEf6WOV15JOS5quaDAFRuqjMnpcDyTylIzjWWUe6+mpb3ptvStNNl3dImzJf0IeDnXeWTj3VOnrQ2cMt2wjMMov06qtWnkKZShaWdEapFg5N5ll4YeuWcvvtWczcEmMGvf9aImJxLdLxiwuPRrxxDBuJWjznOH7xYNGIJ2XBzwmORtBv3jlOcDQv9u1n3lcSbRJGl/RD5Zfg84ukcyTx+1ytdATHmmtK11Ua0rz2mjTjjLnGs1mTBf1w2X576YwzpN12k05As9Yt0wjMPLPEtUo5EGVBoe2PP0xjA6tFcCy4oLV/vfXW0DO3zHhB77+WiVo8C3X84sGiUU8cw0YjF8d5jl8cODTqRVnwc4Kj0SugOec5wdGcuHc2K6/FcyczajlUOoKDFpY30lBGlvbP2/EWsKAfLltvLZ1zjgTRcdppLRC9Ji8REu6NN6R99zVx19D2/vvSVFN1THDMP7808cTSzTeHnrllxgt6/7VM1OJZqOMXDxaNeuIYNhq5OM5z/OLAoVEvyoKfExyNXgHNOc8JjubEvatZx5c0k6TRqg68v6uTQv++dATHyiu3bdReeEFCwLEFLOiHyxZbSOefL221lREdbtlGYIYZrJwqq5KgBx6Q6JSC1crg6N3bxHj/+99s11ni0YPefyWOU6xLc/xiRSa9X45h+ljFeKTjFyMq6X0qC35OcKTHPIYjneCIAYURfdhS0s6SppT0tKSFJD0saem8XS0dwdG/f5uWwDPPSL165R3SpswX9MMlabXLvxde2JT1tNSk6MS8/ba0117SMceEXzptk8GyZ0/p00//Pv6885oY7w03hJ+7RUYMev+1SMxiWqbjFxMajfniGDYWt1jOcvxiQaIxP8qCnxMcjeHfrLOc4GhW5Due9zlJ80t6RNI8kmaVRLuKAXm7WjqCY7nlpCFDLIxPPimxeWsBC/rhsuGGEl036EjDv27ZRmDaaSU6/uyxh3TcceHnohMOLWi5F7gn2tvcc0vTT9+mXRPeg9KPGPT+K3204lug4xcfJvV65BjWG7G4jnf84sKjXm/Kgp8THPUi39zjneBobvxrzf54heAge2NBST9XMjkgO3K10hEcSy8t3XOPxfDxx6U+fXKNZ7MmC/rhMmCAdOWVEoKt11zTrCW1zrxkT7z3XnairptuKl10kYTWxmOP/T2uc80lIXTqWDd8zQW9/xr2wk9sNAKOX6ORi+c8xzAeLBrxxPFrJGrxnFMW/JzgiOeaSuOJExxpopTvMbT52EzSLpWylK8k/VPSivm6IZWO4FhySen+ipTJI49IdIhoAQv64bLWWtK110rombguQ/ZXDwKgCIHuuqt04onh50vuifnmk4YO/fv4c8xhWjVXXRV+7hYZMej91yIxi2mZjl9MaDTmi2PYWNxiOcvxiwWJxvwoC35OcDSGf7POcoKjWZFPN++SksaVdFulXWy6swIdVTqCY9FFpf/9z6Lz4IMS/28BC/rhknSi6devTc+kBWLYtCVOMYX04YfSzjtLJ58c3o2kBIZSlKdJGmtns81mWjVXXBF+7hYZMej91yIxi2mZjl9MaDTmi2PYWNxiOcvxiwWJxvwoC35OcDSGf7POcoKjWZGvPe9Ikp6VNGcMbpWO4FhoIXtL/dtv0n33tXWPiCHYGfoQ9MNlpZWkW26RllqqrdwnQ99bfmg6mHz0kbTjjtKpp4YPx4QTSl9+Kc05p/Qc8j/tjFbKZHdcfnn4uVtkxKD3X4vELKZlOn4xodGYL45hY3GL5SzHLxYkGvOjLPg5wdEY/s06ywmOZkW+43kvlbSvpHeb7VrpCA50Bl56Sfr+e+nuu6W+fZsd4lzmD/rhsvzy0h13SAsv3JYNk8sqWnSSSSeVPvlE2mEH6d//Dh+EccaRvvtOIlPjxRdt/HfflTbbzHQ3uGf4ckHZhmMf9P5r2As/sdEIOH6NRi6e8xzDeLBoxBPHr5GoxXNOWfBzgiOeayqNJ05wpIlSvsfcXREZRfHv+6qpV83XjRJqcPAmmpabX30l3XmntOyyeYe0KfMF/XBZZhkjh3r3lp54oinraalJJ5nE2rdut510+unhlz7aaNLPP5uQ6Cuv2PgQG2uvLT36qHXLgcy65JLwc7fIiEHvvxaJWUzLdPxiQqMxXxzDxuIWy1mOXyxINOZHWfBzgqMx/Jt1lhMczYp8x/Oiu1HL7svb1WgzOH74Qfr2W4m32/UYOgO8DefrttskshFawIJ+uCSilHTXeJZqKrdMI9Czp/T559I220hnnhl+qh49pD/+kGaYQXr9dRufbA3aAT/wgLTRRtLii0sXXxx+7hYZMej91yIxi2mZjl9MaDTmi2PYWNxiOcvxiwWJxvwoC35OcDSGf7POcoKjWZEvwLzREhzoP6Ch8eef9UWRjhDDhlkK/k03SehJtIAF/XBJhFrRZnj55RaIXpOXONFE0hdfSFtvLZ11Vlhnfv9dGnlkGxOx0bfesu8vuEDafHPL1KFUhfvtwgvDzt1CowW9/1oobrEs1fGLBYnG/XAMG49dDGc6fjGg0LgPZcHPCY7Gr4FmnOkERzOi3vmc30lKdu6jVFrEUqoyTt6uRktw/KNy2VJqMt546cMy66z2tvq116QbbpBWzb3qJ72vAY8M+uFCa93HHpOmm056882AXvpQNSMwwQRWUrXVVtI554QN0k8/SaOPbmPSjhbiDyNThJIYspyYl1Ku888PO3cLjRb0/muhuMWyVMcvFiQa98MxbDx2MZzp+MWAQuM+lAU/JzgavwaacaYTHM2Ien1zri5pAUn71Xda94+OluAYf3zp669NAwItiLQ200zSqKNKL7wgXXuttMYaac8s9HFBP1zQMXnqKYnuHh98UOi4FML55FrfYgvp3HPDuoy4KCKjWDWetKPddVfpv/+10pj+/cPPHXYlUY8W9P6LeqXldM7xKz6ujmGxMXT8HL8YIuAERwwopPfBCY70sWrmkY9IWihvB6IlOOaZR3rmGWnwYGnAgPRhmX56y/hgg37VVSak2AIW9OGgVy9rJ0rpxGeftUD0mrzEccc1vRlKRs47L6wzlL6AI4aY6ccf2/dHHy3tu6+JjdK9ZeWVw2ePhF1J1KMFvf+iXmk5nXP8io+rY1hsDB0/xy+GCDjBEQMK6X1wgiN9rPI6cs2qiUaS1EcSwqML5+VAMk+0BAelJbxdPuIIab86ElumntreVNMd4vLLpfXWyzukTZkv6MPB7LNbq13e/H/zTVPW01KTJm1cN93UtDFCGoTGZJNJlHxNOGEbYfWvf0mHHGL3yC67SKuvHl7/I+Q6Ih8r6P0X+VrL6J7jV3xUHcNiY+j4OX4xRMAJjhhQSO+DExzpY5XXkdW7mN8kvS3p/yR9mpcD0RMc66wjXX21CSDWow0wxRTSjDNK999vbS8hSmiRmbzFzjvAOc0X9OGAdqJomNBe9Mcfc1pBC08z1ljS999LG28sXXRR2ECguTHNNKbDAZ5ffmnjk71BFgedU3bf3TKdzjgj7NwtNFrQ+6+F4hbLUh2/WJBo3A/HsPHYxXCm4xcDCo37UBb8nOBo/BpoxplOcDQj6p3Puaikh9odUutnmXsebQYHb5QRCV1iCeumktZoK0uJxZ132mbxkUesXOXhh9OOUMjjgn64UOZDtw3e+tOFIxF8LWRkCuD0mGNKtEWmXWvoVq1vvGGEH0Kmv/3WlpGz227SSSeZ7sbee1um02mnFSBYcboY9P6Lc4ml9srxKz68jmGxMXT8HL8YIuAERwwopPfBCY70scrryCclzdduslo/y9yfaAkONAFuvrl+ocuePSW6gHAumR+33GIEx+uvZx7LZk4Q9OGAMp/33rPl/PprW5vRZi6wzHOTXUG3kw03tKyjkEapESVHlG1RbkQLZYwOKnRS4YsSsIEDpVNPDTlzS40V9P5rqcjFsVjHLw4cuuOFY9id6DX/XMev+Rh0x4Oy4OcER3eugvzPdYIj/5h3NCMaG4tI2kXSSVUH0eaAdh9z5+1qtAQHXR1uv93CweaPzihpjI4UfftK110n/d//GcHx9NOlb3ca9MOFzfBHH1m0KZ0YY4w0kS/vMQiAjj12dpkslI5QRrX++tJll4WN47PPSnPPLc0wg3XESUqO6NgCG3OR/QAAIABJREFUAXjKKdJBB0nof9BZxa2hCAS9/xrywE/qTgQcv+5EL45zHcM4cGjUC8ev0cjFcV5Z8HOCI47rKa0XTnCkjVT2xyEkupSkbSSdVTXdd5L+K+m17F0YcYZoCY5llpHuvtucRTcA4iKNIdi40krWfYW307feagTHO++kObuwxwT9cJl44jYxyq++sq40rWq0WUWkk8wKyqaysFFGsUwZykQQ/QxpQ4dKffpIc8whvfqqlR698op1a4FMOf54CcHRLbeUTjwx5MwtNVbQ+6+lIhfHYh2/OHDojheOYXei1/xzHb/mY9AdD8qCnxMc3bkK8j/XCY78Y97VjNNIimLHHS3BseSSJhSKffihbTLTGHoGCJSiv4GmQEJwvP9+mrMLe0zQDxf0GshaQH+DLhy0F21VS0Q6uZa23z6bKPzzn6aPse660hVXhJ0D7ZlFFjGS48knpb32svti+eWtReyRR1qnoq23lk44IezcLTRa0PuvheIWy1Idv1iQaNwPx7Dx2MVwpuMXAwqN+1AW/JzgaPwaaMaZTnA0I+qdz9lT0l6S5pA0WtWhS+ftarQEx6KLSv/7n4UDoUSEL9MY6f50o6A8hfR7SlSeeaat5CLNGAU8JuiHC1kwGNkLbPCnmqqAEQnk8ptvWnkH5Rs77xxo0HbD9Ogh/fGHdTK56qqwc0ASQhYutpj04IPSTjuZ1gYlYLfdZtkbdFOBvDnuuLBzt9BoQe+/FopbLEt1/GJBonE/HMPGYxfDmY5fDCg07kNZ8HOCo/FroBlnOsHRjKh3PucdknhVu0elXGUTSZ9J2jtvV6MlOBZYQHr8cQvHCy+YUGIaG3lkaZttpNNPt5R7CA50CD75JM3ZhT0m6IcLmhuQHMQMcVY2+K1qlHPMOqtlN9B5JAsbaSTpzz+ltday1sghbcgQabnl7IvOQtwbZ51lQryPPirtv7+tDeLjmGNCztxSYwW9/1oqcnEs1vGLA4fueOEYdid6zT/X8Ws+Bt3xoCz4OcHRnasg/3Od4Mg/5l3NOFRSb0nPSupVOZheqGh05GrREhzzzWfdT7AnnpB6E64URktTNqKQG8ceayUqEByff57i5OIeEvTDBU2IKac0vYYXX5Rmm624gemu588/L801l23+Ke/IwpI2vGusIV17bdgZuP5XXFFaZRXpv/+VNttMuuACax0LebXnnpbpxD1z1FFh526h0YLefy0Ut1iW6vjFgkTjfjiGjccuhjMdvxhQaNyHsuDnBEfj10AzznSCoxlR73zORyQtJIk2IfRm/FASr25zf1UeLcHRq5f09ttWJkFqPSUrXRlp/qT777uvbdb4SggOxDJLbHV9uBALRFwRmSQ7ob2RUUDGDJkzCLTShaNVDZINsg2dCtqphjYyN4g3ttpq0vXXh53hxhttXHRpKH/ZYAPDHZ0VxHt32cU0OSBvWKNbQxGo6/5raAY/KcsIOH5ZRjefsR3DfOKc1SyOX1aRzWfcsuDnBEc+10uoWZzgCBXJcOOsLOkBSYgb/FsSogf/knRjuCnSjRQtwcEG++uvTTuD1Ppll+16QXSiIPvg4INNW+Dww43geO456Ztvuj6/wEfU9eHy2GNWokDHDjp3VFtCElEixHGUMfB9q1oSq0MPlQ48MHwUEHKlrApbdVXphhvCzkHJC+QGujQXX2w6H/yMrBHIle22s5IVyJvDDgs7dwuNVtf910JxKcpSHb+iINWxn45hsTF0/By/GCLgBEcMKKT3wQmO9LFquSOjJThmmsnebNPaktT6leGEurAff5TQj+BNNNoCkBwJwTFsWFdnF/r3dT0c3Huv1LevlSpsuumI6/7lF2nUUaWllpI47oEHTKCyVe2hh2z9Bx1k11Noo3sKXVQwrnGu9ZAGiUXWxqBB0jnntJWqJHNstZUJ8ma1vpBriXisuu6/iNfRqq45fsVH3jEsNoaOn+MXQwSc4IgBhfQ+OMGRPlZZH7mVpHslvSYJXM6XtGalZSxCoxXRiazdaBs/WoJjuumkCSeUhg6VrrzS3kJ3ZZAYY49t2huk3LNpSwgOyI8SW10PBzffbJtp3tzTHrTafvhBotUuug0ItN51l7R07s194kEqIYPIcMiihCMhlFgxMQebkEa7ZEgsOsCgtdGvn3QHGscVSzI7DjnEMp/cGopAXfdfQzP4SVlGwPHLMrr5jO0Y5hPnrGZx/LKKbD7jlgU/JzjyuV5CzeIER6hIdn+c5yXNK+lXSRtI2l1Sv8rP2F0s3v0p6hshWoKD1qQIIbLBJLV+o426XhhlKOONZwKjiCfuvbe1wqREhY1kia2uDxcIowEDbMNL94xq+/Zbadxx20oZIDlWWKHEketiaZRHQQpwLdFONbT9/LNEa2OMOBPvkHbuuRJZGviPUCotY+9Dz7hiXAdXXCFlVYITci0Rj1XX/RfxOlrVNcev+Mg7hsXG0PFz/GKIgBMcMaCQ3gcnONLHKusjn5Y0T2WSyyQ9KumUyv+flDRf1g60Hz9agmPSSaX555duukk6+2xLse/KEE0k64ONOwTHrrsawUEnDEoBSmx1PRxQmrL55rU7gyQx3HBD6dJL05cHlTW2EA4rrSTtvrt0/PHhV5mUVTHy8svb9RrSzjhD2n77Nl2ahRaSHkHjuGIIkKL7gV4NZV1uDUWgrvuvoRn8pCwj4PhlGd18xnYM84lzVrM4fllFNp9xy4KfExz5XC+hZnGCI1Qkuz8OJMZKkmjp8Y4kcv9fqAz7kqTc+3FGS3BMNJG9OUdDoFamQS0sPvtMmnhi6woBwcHGLiE4EFQssdX14XL66dIOO9R+a//pp9IkkxgBcv751tWDTXCrGpv/1Ve3Eo+TTw4fhaQkiJGXW27E8pEQs3Hv0CmFjkJ0F5p33rb2y4zfv7/dI0ceab93aygCdd1/Dc3gJ2UZAccvy+jmM7ZjmE+cs5rF8csqsvmMWxb8nODI53oJNYsTHKEi2f1xUMo8W1IPSagJosmBLSlprwr50f1Z6hghWoKDUhPS5xFGpDSAFPuujI4rk08unXmmERyk5qPB8fLLEt0qknacXY1TwN/X9eGCRgnxrKUr8eGH0hRTSNtua3G85hppTWRiWtSSLiQQQv+m4VFgS3RjGJZOQZTEhDSyTrgXIGcgOuhO9OKLbTMkYrJp77GQvpVorLruvxKtuyxLcfyKj6RjWGwMHT/HL4YIOMERAwrpfXCCI32s8jiSnpBjV7I4kvnGrIiO5t7qI1qCA6HLbbYxPY20Aojvvy+h3UFXCDZ16Hbwdvq110yDI+lWkQfKOc9R18MBYpJoLtQqu3j3XWmaaay856ST0gu85rze3KZLupBwLUL4hLbvvpPGoUs0+VxLm6hrSCMzg9ITBGVZwwwzSG+80TbDwgtLDz9swrzcM24NRaCu+6+hGfykLCPg+GUZ3XzGdgzziXNWszh+WUU2n3HLgp8THPlcL6FmcYIjVCRLOE60BAetSnfbzQgONttpBB7feUeadlorrWCzRgYIBMebb0o//WTtT0tqdX247LGHdMIJVsJDOU+1ESs2wfvsYzFng7/eeiWNWoplIXC7ySbSllsacRbaEmFcxiWb4p57ws5Aa1sIwgsvtG4qU04pQQQmlpSsHHecxHXh1lAE6rr/GprBT8oyAo5fltHNZ2zHMJ84ZzWL45dVZPMZtyz4OcGRz/USahYnOEJFsoTjREtw9Ohhb55PPdU2mGgJdGWUosw2m3VdYbO2xhpGcEB8fP+9NMYYXY1Q2N/X9eGy3XaWjVBr0/7qq9Iss7SJUv7nP9LAgYWNS7cdP+88ixPkAOKsoe2rr6QJJrBR6XBC16CQxj1E9xTaxYJjz54SWjWJJSUrEF4Qim4NRaCu+6+hGfykLCPg+GUZ3XzGdgzziXNWszh+WUU2n3HLgp8THPlcL6FmcYIjVCTDjAMeU0p6L8xw3RslSoLjjz8kCA7ePtMFApFLOql0ZWQcIJTIJp234bTdvP12e2NN+9OxqQwqp9X14QJhlLTe5d9qQ59hjjlMdBKNDt78c3yrGqUd6JFQ7tQ+ViFiknStYazFF5fuvz/EqG1j7LWXZemQ1bT++tYCmKyRxKabTnrrLStHQqPDraEI1HX/NTSDn5RlBBy/LKObz9iOYT5xzmoWxy+ryOYzblnwc4Ijn+sl1CxOcISKZLhxhkrqHW64xkeKkuBAL4NykiOOsLIANn5dbS7pkkLmwWSTSffdZzoSaBpAcCA++vXXtrkrqdX14bL22iYeus46prFRbc8+K809t5WwoNFBBgMdVVrVIAd23NHIgcvo7BzYPv/csiqwRReVHnww7ASQFmSenHuutO660mijWblWYuOPL5FFwn1GpopbQxGo6/5raAY/KcsIOH5ZRjefsR3DfOKc1SyOX1aRzWfcsuDnBEc+10uoWZzgCBXJcOOcLulCSY/XOWR/SdRq0IXlXElHd3D+2pKukjS/pCc6myNKgiNpnUlqPZuzueb6+0a8/aKGDpX69LE31ZttZjoSiyxibTdpffrFF22lAHUGvQiH1/XhQmYLpTurrirRBrXannxS6t1bopUsGh10saEbTasamQ2UbtQig0LEJGltzFhcrw89FGLUtjHAEBKLDKi11pL+8Q8paZnM9xj/b3WtlW5Gva77r5tz+enhI+D4hY9p3iM6hnlHPOx8jl/YeOY9Wlnwc4Ij7yune/M5wdG9+GVxNn0aZ5H0tqTvKx1U/pTUq5PJIDVelbScJFQCIUfWl1TV83H42dRh3CxpFEk7FJLgSIQXERhFA4K2pf+lq24ndv31prnBBh3hRLI55pvP2m5CbkByJG/Ks0C0yWPW9eGC1gOlEP36WYZLtT32mLTggvbGnzf6aHXQfaNVLWmpS6tcsl5C2yefSJNOaqMutJB1NAlpgwZJN91kOK6++ogjU7JFFxeM+2tluli7NRKBuu6/RibwczKNgOOXaXhzGdwxzCXMmU3i+GUW2lwGLgt+TnDkcrkEm8QJjmChDDbQNB2M9E4nMyws6RBJy1eO2bfy71HtzjlZ0hBJtETgq3gZHBASE01kAqO8WaZlLERFZ0bmxhZbmJ4AnVQQT0RLYsgQK0+hTCXZSAaDMZ6B6vpwIdOFjJdaopb/+5+VSkAsoTtBiQZZAK1qlEkdcEDtbJcQMfn4YyurwhZYQHr00RCjto2BOCrCpeC4yiojjj355NKHH9rP6N6Cbo1bQxGo6/5raAY/KcsIOH5ZRjefsR3DfOKc1SyOX1aRzWfcsuDnBEc+10uoWZzgCBXJsOMsJmkmSbRmoAh/LElvdTIFZSeUqCSF8htJWrCSpZGcNq+kAyStJYl2DMUkOJK32giMXn219PPPXWsToBlB55REa6NXL2nGGY0YGTZM+uADiQ1dSa2uDxc6zdBxhkyNRx4ZMSJkdkB8UNaAZgPda3baqaRRS7EsWqwidrviitLNJEYFNggGMpSw+eeXyKAJaRtuaGNCFrKGaiPL6ZVX7CePP24lXm4NRaCu+6+hGfykLCPg+GUZ3XzGdgzziXNWszh+WUU2n3HLgp8THPlcL6FmcYIjVCTDjXOwJHYTlKnMLImdN5oZi3YyxTqV7I1qgmMBSTtWzhlJ0t2SNq2UvnRGcAySxJcmmWSS3oMHD9awYcM01lhwLM23UT/7TAuvu65e2WMPTfTAAxrlq680tIsuKtOdd56mvuwy3QehMdJI6j1okH7u2VPjDx2qHj//rIevuEI/Tzxx8xeXkQf14LfQgAEa7dNP9d2MM2oo4pJVNt6TT2qe3XfXc4cfrrkOOECvb7ed3kd/okVtunPP1TSXXqov559fz1KuEthG+ewzLQKRJOm7mWfu8jqvd/rZDzlEY779tl7ffnvNTUeVKvt2llk0ToXgeOyii/TD1FPXO7wfX4lAPfefBy2+CDh+8WFSr0eOYb0Ri+t4xy8uPOr1piz49e3blyYQ/ran3gugScc7wdGkwHcy7dOSyLZ4svIvhz7bhQZHVyUqtAh5Q9KwyrwU9n8padXOylSiFBl9+22J9pUIjKIf8NJL0gsvdI4iZRRXXCHRlQIj3Z8yl7vukujKkpSuxHctBPGoLvacuFAGRCYHbWGrDVHW5Zc3EdL+/aXjjrPMmFY1SAFisMwyVu4U2t57T0qIBbRj0JAJaehucD+R4bTssiOO3LevlaZg+DEl3avdGolAXfdfIxP4OZlGwPHLNLy5DO4Y5hLmzCZx/DILbS4DlwU/z+DI5XIJNokTHMFCGWwg8tDJvmA3M5+kMSWhLtiZyOjIFZHRZSR9UBEZ3UBSRzv/4paovP66NNNMpgPBRhvhxTfgbjqxDTawNPvXXrOD6EhBRsrdd0u//y4xJp1VSmp1fbiMPrq1CoVEevPNESNyyy3SSivZxpcN8NFHS3vvXdKopVjWrrtKJ59cW68kxeldHvLuu9bSGJtnHumpp7o8pa4DKEuhUwskDXhWG110brzRfkKr2PHGq2toP7gtAnXdfx646CLg+EUHSd0OOYZ1hyyqExy/qOCo25my4OcER93QN/UEJziaGv6ak/NKHP0NOqIgErq5pMslndqFqxTRIyJKR5XzJR0h6dBKhkZlp/LXCMUlOMjYQCR08GB7a472QSKG2FGAaH1KVkKiYbDEEtLII7e9oX71VSNNSmqpP1wge4gLhiYJ2iTVxoZ3tdUkxEYhiRDZ3G+/kkYtxbJ22MFa5i62mPTAAylOqPOQJFuJ09CNeeaZOgfo4vDllpNouwxRxT1RbehzXHqp/YQsp3/+M+zcLTRa6vuvhWJSpKU6fkVCq7avjmGxMXT8HL8YIuAERwwopPfBCY70scrzSMiNfpUWsfTq7KJNSDauRVmi8txzttlDYJQOEGzCvqTaphNDMJM30Enb06WXtk3bQw/ZSZAms86aTRAjGDX1wwFtQccZxzyeYAIjhart2multdayLiu9e0uHHiodeGAEK2ySC1tvLZ1zTjYtXFkSpVPTT2+Lm3NOiWs/pCWdUY480rrjVBvtf886Sxp1VMvocWs4Aqnvv4Zn8BOzjIDjl2V08xnbMcwnzlnN4vhlFdl8xi0Lfk5w5HO9hJrFCY5QkQw3zjGS2uf91/pZuBk7GClKgoM0/fnmk66/3giKf/9b+vHHzmMx88x2DlkfWL9+lnb/RKVL7vPPW9vYklqqDxcyEHbc0bIEKFMZaSTrMFNtdE8ZMEAiXmy4Dz5YopNIq9rmm5sWDB1GKIEKbZRe0e0H4/ok7iEtKdU67DAjaTBKYr75xrrjQGBNOGGbdk3IuVtorFT3XwvFo2hLdfyKhtjf/XUMi42h4+f4xRABJzhiQCG9D05wpI9VXkcm2hvV83UlMpqJb1ESHGwkEQlFYPTRRyU2Z3/8If2jk0u5Z09p7bWlM8+0OKE98P77bW/En31WmmuuTGIYw6CpHg4QD0VEFKM16ccfS7/91uY+LWF32cX+T3cNMl7239/i36q20UbSJZdIWQiAEtNEb4bva4m+djfutJ6lexCtbvkeQzSWjI7TTpN2280ID0pl3BqOQKr7r+HR/cSsI+D4ZR3h7Md3DLOPcZYzOH5ZRjf7scuCnxMc2V8rIWdwgiNkNLs31raStpNETnq1aubYkqilGNi94es/O0qCA/0H0ukpN6FUAg0IMjhGG80EL9GI4M10Yn/+afoB/A7NCAwBRTbpaG9gZIUg4lhS6/TDhVaw6JjccEPb6ikBgvT59dc2TQ5KUyhRwcgsmGUWac89bTPcqrbeetadB3KMeIU2rk/ijPHvyy+HnWHuua0E5qCDLMMJ23ffNoKDjB70brrqUhTWq9KNVpaHu9IBk3JBjl/KQEV8mGMYMTgpXHP8UgQp4kPKgp8THBFfZDVcc4IjHrxo5Tp+RVh0nyq3vqu0dM3d0ygJjvvvt64VtHilnIK3zJSbjD22bcZ5A01XiMQSXYnqlqZrrGGkxjvv2FGUqqApUVLr9MMFMgNtB0pSyITB0GZA34QSlTFp4iOLT9KmlLhR9rPzztIxVE+1qCWkTxbZFYQ0yZThe+LN/0Ma5AWlRgccIEF2YGiqUJqCtggaI2RLkSnl1nAEyvJw13AACn6i41dwAMXH2b1aKtEcKv5yWm4Fjl+xIS8Lfk5wFOs6dIIjXrwmljRalXvv5u1qlAQHrV2XWUa67z7pxRelbbe1LipjjGFCoogjJqUoBCxptXnuudIWW1gI11lHevBBK8PA2MCxkSupdfrhMuWU9hafMgXIoqeftlawZHUgMorYKMa/EEkY3VXoOkPsjz++pFFLsSyyhegskwX5wPSVjkF/jjSS/gFGSZvjFK6lOgR9DwR4yYKC6MC4DsjoQFsEjREEeSET3RqOQFke7hoOQMFPdPwKDqATHIUH0O/BYkNYFvyc4CjWdegER3x4rSLpRBp1SvoU2T+2OsgM5u1qlAQHpSn9+1urUt5ob7aZ9Oab0iijSGzW0UW4+OK2ULFhRyPhmmukNde0n6+/vpW4JBv2hx9uE1nMO8g5zNfhhwulPRBD6GjwFv8//5E23lii/SkaDBBHk01mopOQR4l98omJX0IYnXRSDiuIdAq0XG691QgiynZCGwTeHHPoj5FH1khTTx1+DvQ1IDAo3yILBUta/9KdaOBAK+eqLl8KvcYWGK8sD3ctAFXNJTp+xUfeMSw2ho6f4xdDBJzgiAGF9D44wZE+Vnkd+YykpSUNkTSvpL5sySUNysuBZJ4oCQ4yC1ZeWXrsMWujSVcPSizQ2UD4kvKTRCuChdxzj23iyPzoSyhlJAjH/PCD/Z9sjvZtMvMOdobzdfhwgLYCb+4vu8xIHwzShw1tQhxNN53pSyQlDBxDZscMM1gcTz01Q88jH3q55aQhQyTIh6TcKaTLdE2Zay79Psoo6oHwK0ReSJt8cruX0FIhCwWj5GivvaSkY84GG1grZreGI+AP5w2HLooTHb8oYOiWE45ht8LX9JMdv6ZD0C0HyoKfExzdugxyP9kJjtxD3uWE9C7tIwmiA4IDYYTHJOVeQxElwcHme/XVTQ+CTIIVVrBsDggOOkGw6Uy6gRBqiAy0EqqFRNm8k63w++8GBuUuSyzRJTBFPaDDD5cklpBFSRcNFnn55RIbW0okII0ow6AcIzEyOshagFw6/fSihqX7flPTzbUD+UBXntAGcderl34fbTT1mGSS8N1MJppIQiiV0iQIK+yEE+z/tGGGLBw0SDr77NAra6nxyvJw11KgVS3W8Ss+8o5hsTF0/By/GCLgBEcMKKT3wQmO9LHK60gyN1aviI1OVClToYdjVWuQfFyJkuC4+mrT0GDzx0Z7scWk226TRh3VMjQWXtgIj8TYnKHL8d57VsKCbbWVhCZHYtXZHfmENtdZOnw4OPFEaffdR9TawLPrrrNynoQUIksDQVFIJfRKiCcbbjbAZ52V61qimoysH641YpHouYR0EBHdeebRb2OOqZHRQEFPJqSNO67pbND+d9ppbWTaAe+0k3TLLabFAtkB6eHWcAT84bzh0EVxouMXBQzdcsIx7Fb4mn6y49d0CLrlQFnwc4KjW5dB7ic7wZF7yLuckLYVP0kCmw0l0V2FHPEvujwz8AFREhyDB1s5BdkFtDGlC8hVV1mb2FVWsf+zMUyMripkGXz/vXUKwRDHrN6YU2aAcGlJrcMPl+22k4jnl1+OuPJkc/vIIyZCySYXooiuKv+o/MmgvIENMG1mW9UQpn38cWnCCaXPPw8fhYp+zK/jjKN/jjOOkXQhbfTRjcygHexUU9nIaK9sv710551Sv34mOIrwqFvDESjLw13DASj4iY5fwQF0kdHCA+j3YLEhLAt+TnAU6zp0giMevHaR9JCkpyT9FoNbURIcl1xi2g90lKAshTfP550nsVmjrKK94COkB/oI6EgkxoaOjVxiCI6ymSup1fxwQd9h7bWtvS6b9GpLOtXQKpaWvGRzIOiKZkdibIgpBzr//JJGLcWyEK+FhECANRGsTXFa6kPImOndW7+MN55GQQyW7jUhjbbK++xjhAaEFQbxR3tYSm8owTn2WNPocGs4AmV5uGs4AAU/0fErOIBOcBQeQL8Hiw1hWfBzgqNY16ETHPHgRb9NylBmlcRunDoLCI+HJbV7xZ6P01ESHEn7yrffts05b8/p5DHmmKYXMPHEps2R2CyzDBdqFKUtie26q3TyyW3/J2MBLY+S2vAPF8opiB2dT3r0MGKITTktdSGGqu2hh6z0JyF+5pvPuqkg8JoY50N+XHRRSaOWYlkItEL6jDWW9N13KU6o85ChQ6U+ffTzBBNoVLoEffRRnQN0cvgff9h1cMghltFEmQ2WtFOm9IZr5owz7PduDUegLA93DQeg4Cc6fgUH0AmOwgPo92CxISwLfk5wFOs6dIIjPrxGqYiMQnYsXPn6WtLsebsaJcFBSQREBqKOkBls/A491DaZlFJAdFBKgVHCwptvukLQ/jIx3kgfD59UsZtusnKLktrwDxcEVZdd1rrK9O4tUfJw1FH2Br+9PfGEiY4iLkoGDPoPlAVVC4oiSoneCRk1rWqQZ6++auVRtNwNbWTWLLCAfurZU6NRXhVS5yNpEcw1gCYNgqPYhRdKm2wiJdcALZfJmHJrOAJlebhrOAAFP9HxKziATnAUHkC/B4sNYVnwc4KjWNehExzx4YXmBsTGopV/x5P0nKTN8nY1SoKDjAO0I9js8dYZAoMUe7I5Dj7YQsRmng0hm082ocmmLQkgm3raYSZGN5FVV807vLnNN/zD5euv21ro0vqV8gpagSLY2t4q7UmH/57SHUow2pcq0FYUooSOK61ilEKh94KoLUY5FK2KKZX65ZfwUaC7zYIL6qdJJtFoZFx8+mm4OSh3QXQXbZV115XGH9/GhrDacEMr62J9d91lpSpuDUegLA93DQeg4Cc6fgUH0AmOwgPo92CxISwLfk5wFOs6dIIVLrsHAAAgAElEQVQjHrzOkTSHJHLdH5X0SOXrq2a5GCXBkXT0QNSR8hRIDtrG0hHiuOMsVJQLkNFBZgYZCA8/LC20UFsYDzhgxIwOWsnSEaSkNvzD5cMPbeOKZgbZG+hvUAJB+Ul7Q98EAoNWuoi2zj23bew5J7HZZrPSH0iQVrFEYBWyge/RISGTiO/5WWhD5HXhhfXj5JNr9J9/DitkWunQomuuMS0VrgkM0Vna/2KQIGhzJOsOvb4WGa8sD3ctAtfflun4FR95x7DYGDp+jl8MEXCCIwYU0vvgBEf6WGV9JK+FyRN/vqK/gfYG3/+Z9cQdjR8lwZG0NqVFLJuymWaycgqyDMjuwNAqQFdj//0t0+OLL6zMIjF0B6o7Q7TfvDcr4BnNO/zh4PXXrRSB+FG6s/feElkdEEPtjW4dU09tHVIoA1ptNRMi7dOn7Uj0J8iOYYPcKpZs9NEu4XqbdNI2vZckayhkLCDmFllEP0w5pcb44Qe7jkMZmRmULN1/v2XiUNqFoVWz1lqhZvFx/O1x4a8B31wVHkI5hsXG0PFz/GKIgBMcMaCQ3gcnONLHKo8jwYMsDvQ3+JqzIjAK2VGpv8jDDZsjSoKDUgk257R9pTyFzRkCmKTYJ3oQbOYRzuQN9Oabm0ZHtR1+uHTggW0/ueIKS9MvqQ1/OKCLzM47W9tPSB+IiY5am1IKQWYMnWbYuHPeZ5+16TQQJ7I6KHW5/vqSRq3GsihF+e036yhDhgsZREmLXUpU+H1Iq4i9fj/11Brz22/Ddmrhml9vPenFF60UBR0RDDwhtNyCRcAfzoOFsikDOX5NCXvQSR3DoOHMfTDHL/eQB52wLPg5wRH0ssh8MCc4Mg9xQxNMWdHggORYWdKEktDiyNWiJDgQC6XEhJR9BEbRB6A8gM1mstl+8EHr8AERUi0umkTv6KOlffdti+Vll5mIZklt+IcL5Q6seaedrPMHZTyPUglVw8gWIDuGjiu82T/nHDu+ulSB0pYpppD++9+SRq3Gsshmgejh+qLDCDFKuqcQM1oVhzTmWXxxfT/ttBoTIoWspVCGYOwOO5iuB+RgQs6UXHA3VPjqGacsD3f1rLlMxzp+xUfTMSw2ho6f4xdDBJzgiAGF9D44wZE+VlkfuVMlawNx0V+rWsTSKhaR0QyK/DtfUpQEB6UllJgkJQGIg1JSQReIIUNsQfyeL8Qgl1/+74ukgwqdVBJDa2LgwKzxbdr4wx8O7r5bOuwwaeONrSyBDigQOx0Zwq0IUM4+uxFICI9WG2VBPXtaKVCrGFkb6JMkmi0QGmRuEB8yLBC6DWngtOSSGjbDDBqL1schW9FyH/GF/7SLRZQX6+ieCbmuFhvLH86LDbjjV2z88N4xLDaGjp/jF0MEnOCIAYX0PjjBkT5WWR95YkV7A0Ljo6wnSzN+lAQHpSVHHmkEBwYxgVYBm2024ZSuLLigaUaglZCIJ1Yv+OSTpV13bftJ+y4raYJToGOGPxyQaYH+xoor2iaWbA5KdToyMhVmndVKMChZaF+Kgmgr+h23316gSHTTVa4rOpucdZa09daW9TDqqHbNJboc3ZxihNPvu294htJ3M82ksRGJTdofh5hjxx2N4Ep0PSA4/vzTSMJllgkxg49RiYA/nBf7UnD8io2fExyOX/EjUOwVlOVvqBMcxboOneAoFl65ehslwcHGnI06JSoYLWMRCUUz4qefpDfesJ/TBvXJJ2vHC20JNniJ0Vlks9y78OaD5Xnn6ccDDtDokBRkZMwwg8Uo2aR35gVZA2zo55nHOoZUGyUaZDAkWTP5rKa5s5ANdMcdlgmDgC2kAKVRkATtNUpCeHrPPdLSS+vbWWfVOLRtpQwmlFGSxf2BngiW6Ivce6+Vd7kFi0BZHu6CBaRgAzl+BQOshruOYbExdPwcvxgi4ARHDCik98EJjvSxarkjoyQ49tjDNufJ22x0NsjIQGh0yiklhBkxCAuIi1rG+dtu2/YbuoVsuWU58YUAorsMnTEQFkVHgzf1ZHSsjLxLg7bEElbawCa8Vax/f8tYgRw74QTTgOGao1UsnXvoqhLSKCtaZhl9M/vsGhdSCgIvlNEaFsIkuV8QGYU0TPRFQs3j43h6fMGvAd9cFRxAL1EpPIB+DxYbwrLg5wRHsa5DJziKhVeu3kZJcOyyi0RJCS1OsUR0dKyxTG8jaVtKt5VqnY3qyJ17rrVMTSxNNkOukQ8wGZtuiAw6oFx33fB2o/rf/9oG5u09WS6NWt++ViaETkSrGG1Vaa9K95HzzjMBVtoUo8tBvBFdDWlkxyy3nL6Zc06N++qrbVlLIeYAe1oB33CDjcZaIDwo96L8yC1YBMrycBcsIAUbyPErGGA13HUMi42h4+f4xRABJzhiQCG9D05wpI9Vyx0ZJcFB54fBg9tanP7739YZBEMYk+4QWGcZChdcYO1jEzvjjBEzOsqANFobvPHni00rrUDffLNtZZSf0BWkUWOz/+OPbRkAjY5TpPMo3YDQWXppExodbzxprrmk556T3n5bmmaasKu5806pXz993auXxqOd669oD1eM6xfR0332sR9ANj3zjER3mzRG5gmEIEQNlnSEQbumT580I/gxKSPgD+cpAxXpYY5fpMDU4ZZjWEewIjzU8YsQlDpcKgt+TnDUAXoEhzrBEQEIsboQJcGBuCNvnT/+2MJGNkein0FXiIMPtp+T0s+mvpbRNYVuIolBkkCclMnY6NICFBFMiA30MiAkMPQWID6SzhmNrJvNMW1LaT/bKobuCFkwkBqUjyBsu8ACplPy+uumbxLSKIfp319fzTuvxoe8SIR1mYNre845pRtvtBlpnUw2E8f16tW5F2T2cD2Q3XPMMXYsrWLJinrqKdNccQsWgbI83AULSMEGcvwKBlgNdx3DYmPo+Dl+MUTACY4YUEjvgxMc6WPVckdGSXBssYUJPdIaFuNNOvoS2EkntXVH+e0304ioZZdfLm2wQdtv0PBgs1cmo3QCkgeCo712A5kGZBx0x8gQQViTN/6tYpAZrBdBW4iAySc3QU66nSDWSUYFRjtXYt9dooBuNyusoC/79NEEQ4daO9rE0JyZY442kVc0UR54gH6IXYuEol9DS9vqMi7EUumYQzYKxIlbsAj4w3mwUDZlIMevKWEPOqljGDScuQ/m+OUe8qATlgU/JziCXhaZD+YER+YhLu4EURIcm2xiZQJvvWWBregUDP/+1luHbwiHG2+pOzK6rqy7bttvEYzcbbfiAlXLcwQvKUOpZQsvPKIeRyMrX2UV6YMPOu5U08iYsZ+DbsXTTxtxBoEx7bRW5kGmxQsvSLPPbis4/niJdsYQCR2RbGnWesst0kor6YsFFtCEZIlAcCASi1Eew3yJrgoZO5AuHDf//J2PDrk13XRWnpKUalGuBGH10kvWHtgtWATK8nAXLCAFG8jxKxhgNdx1DIuNoePn+MUQASc4YkAhvQ9OcKSPVcsdGSXBQeYFb9ERdsRon7ngghLdVHbd1TaAiD0i+tiRIbq55pptvz3uOInuLGWyRDSyek1jjGFCkmuvba11u2Orr24kEyURrWKUpjz/vK0WkVZIBeJw/fUjloZAbhx+uJUE0Z2kUbv55uGdbr5YaCFNSCkQJSpJWREdXGabTeLahdSg7AohUo7jfujMIGPI0rjySmmddexIMkIo++K+mnHGRj3282pEwB/Oi31ZOH7Fxg/vHcNiY+j4OX4xRMAJjhhQSO+DExzpY9VyR0ZJcJB5wSYT0cVahu4E+gKk4HdkCJCuumrbb48+2giSshjlOehstDc2rmhFUI5DWU53jLIgyjKSDX93xirKuWQ2sGaMshTKU+ioguhtdVcahD/Rtvj2286vw67WXblOP190UU1EO9ek7AqiY+SRjYhYbDHp6qulcce1jBqymxZfvPOR8bV3b9OySe4DREc5H9KKzBS3YBHwh/NgoWzKQI5fU8IedFLHMGg4cx/M8cs95EEnLAt+TnAEvSwyH8wJjsxDXNwJoiQ4yLxgk/7ss40HllIWNCQSQ5xxv/0aHy+2MxGLRDSyvaHTwAa4sxa6adcC0YReAyUNrWKIiCadaCAfKNPZdFMTuq0uDdl9d+nEE03TohYOaeMFAbH66vps8cXVE32NX34x4irR0CDrAuFTCA60Vn7+2drY0uWlM6OshfPQ+KDEBkOX5d13TdsGssMtWATK8nAXLCAFG8jxKxhgNdx1DIuNoePn+MUQASc4YkAhvQ9OcKSPVcsdGSXBEUL7odJ+8y9ADz3UNBPKYmxSp57676vZaivp4ovtzX2ysW10zeuvLz3xRFupUKPjFOk8SAAyhBBtvfRSacMNrb3wmWeaFgbaJhhti+nMgwYK2USUjECCIFJaj1H6ssYa+nTJJTUxGSPMC5GBDwidkrWx0EKmAZIY5F3//p3Pcs89RoLw71JL2bF0ZSF746OPJPRb3IJFwB/Og4WyKQM5fk0Je9BJHcOg4cx9MMcv95AHnbAs+DnBEfSyyHwwJzgyD3FxJ4iS4Bg4UPr8c3v73KglG7zk/EMOaWsv2+iYMZ1H+Q4dNrAePfTLOONolK++sjaiO+7YvbKJZJ3gwKY+yWiIaf1Z+ULXFMpEEOOE1IDcQJyWbA0yLCgXwfj5WWdZyQfZFrPMIp17rkQHoHqs0iHok6WX1iS0pU00PdCdoYyEbA5IE8pXEqsuO+lorkp3Fj38sBEkGF13yIxibRNNVI+XfmwXESjLw12rAu34FR95x7DYGDp+jl8MEXCCIwYU0vvgBEf6WLXckVESHCFQYDNKuUZiZG+QxVEWQ2iSbIIJJpDGGEPfjzSSxqT8gDa6u+wSZpWUZkAUsdluFevZ07Im6KACWbT//kaM/etfI2ZDbLmldSihWwkEB4KeECLbbFNfpK65Zrgg7CfLLqtJ6Bb0/ffD8dTLL5vAKEYnlWo9GspVkrbJHc1WKX0ZQTck0ReBCKNDi1uwCPjDebBQNmUgx68pYQ86qWMYNJy5D+b45R7yoBOWBT8nOIJeFpkP5gRH5iEu7gSlJTgSDYIEGvQ32LCWxZISHMpRZpxR326+ucZhU3z22dKgQWFWSTYCpRGddasJM1M8o6CnQeYErWLR2aC9MF98T8yXXdZ8hfy56CIr34HgoL3sqada9kw9Vmln/HG/fpr0jjuk776TxhrLBE0RCcXItiCjKbHLLpMoH+rMrrjCxFGrW9uS8QNRksxRj59+bKcRKMvDXavC7PgVH3nHsNgYOn6OXwwRcIIjBhTS++AER/pYtdyRpSU4EISsbqVJ14ujjioPvpXShuEb8bnn1pd9+miCoUOtlSilJSEMogShTTQbWsUgF2gNSwZQIi76f/8noW1SrX2BNgdEAwKsEAaUkUCEUM5Sj9HGdcAAfbTCCpqM8ZOuLJSkJOUwtEX+88+2UdH62GSTzmeB+OIYSlIQTsV69TLRWNoIoxviFiwC/nAeLJRNGcjxa0rYg07qGAYNZ+6DOX65hzzohGXBzwmOoJdF5oM5wZF5iIs7QWkJjuo34MCz557WWaQsRvYAG3BKKaafXp8tuaR60j2Fkge60IQwdCYYD8HLVjEEPpdbTrr5ZuugAsFDNsSAAdJNN0krrWSRoMMM2Rd0+oHgoGNJI62IaT+7/vr6cKWVNDlz0h2HEhnKVfCjlkG4UCLTmXEMBBXZN1NMYUeSZQIhlnRqaRVMc1hnWR7ucghVlFM4flHCUpdTjmFd4YruYMcvOkjqcqgs+DnBURfsTT/YCY6mQxCvA6UlONh4zj13W+B5s84b9rLYaadZOQTkQ8+elgGAsGR1W9DurnWHHaTLL5e++KK7IxXn/B49jLyAeEDjBJFOMitWWEGi48lqq9la1ljD/g+RRtYFnUoOO0w64ID61kp8N9hAH6y6qqa48ca2trMQK6uuWnus00+Xttuu83no8EKnl2pB0T59JLJ8fv9dGmmk+vz0ozuNQFke7loVZsev+Mg7hsXG0PFz/GKIgBMcMaCQ3gcnONLHquWOLC3BUd1lZJRRrOvFySeXB98jjzQBzEpb0ffWWUdTIT5JFsfii4dZ5847m84EWQWdGaQKG/zRRgszb7NG+eOP4R1phmc+nHOOdUZ55RXpwQetXKRa3HPllS3L49FHjeAg2+Kgg0yMtB6jFe3Agfpg9dU1BYQJZBLCsYmGRq2xuI7BpjM7/njLWkpKXjiWki3a/kJwuAWNgD+cBw1n7oM5frmHPPiEjmHwkOY6oOOXa7iDT1YW/JzgCH5pZDqgExyZhrfYg5eW4Hj1VdugYugqbLaZiUCWxfbd1zJSKDeQ9PYmm2hadBfYwCbilN1dK1kvlDpQgtGRUQIx1VTSJZdI6FIU2X7+2UiaRFw0Efd85hnLBoJ0ILsDW355CVFQyA9IhBVXlMAE4qkeI24bbaT311xTU6KrkmRcoLPBNVvLKLWCvOjMENQlm6S6HGWRRSyDg3W6BY1AWR7uggalQIM5fgUCqwNXHcNiY+j4OX4xRMAJjhhQSO+DExzpY9VyR5aW4HjzzTZxRd6I01GC1P6yWLvykde3204z0qaUzJWkvWh318ommpghStmRJe1MG2mR2l3/Qp9Pi1bIsEMOsS/KOEYe2YQ5IcvItthgA5t16aWtbey990rffGOlK3vsIR13XH1eVcRA31t7bcvA+eQTaeKJreVsdRnKP/8p/fqrjX344Za905mRTcJxZGsgUoqR2UNJDet0CxoBfzgPGs7cB3P8cg958Akdw+AhzXVAxy/XcAefrCz4OcER/NLIdEAnODINb7EHLy3B8e670jTTGDhsGNFMOOusYoNV7T0dMu67T3r77eE/fWn//TUb2QMffihNNlmYddJ55qSTOn/jn2idpCmbCONVdqNQikOb2KQtLDONN55lxcw4o5XrbLyxzb/EEtZphdaxEBxrr21lI/WUQVHaw1xDhujdAQM0NRkiH38sTTKJ/RzCJDHmpyMKdvDBRsB0ZnvtJaHD8eOPbUdRRvTUU+avW9AIlOXhLmhQCjSY41cgsDpw1TEsNoaOn+MXQwSc4IgBhfQ+OMGRPlYtd2RpCQ42+nSP4C08G0a6X1BuURaDsGHDS3aBpPvuvFNL0vozaS0aYp1kCRxzjPTbbx2PxuZ//vntODbVRTbKQyDDIAYgFyjlmHxy6X//k6adVjr//LayEQRIH3nEBEi/+soyO8i4qCdLCBFRxEQlvbPBBpqGtrMJQUX2xYEHtkUTQuv22y3DA+Kpq1KYWvopyyxjXVRaSTQ2p+vRH85zCnRG0zh+GQU2x2EdwxyDncFUjl8GQc1xyLLg5wRHjhdNgKmc4AgQxLIOUVqCg+4iEBuk9vNvv37SeeeVB8Zll7W38w89NHxNmXy4UOZAZ5A//+w4bswPqXLooSNuyIsY6Y8+MkKDTB9IBDI6yJygDGXKKU14dKutbGVJRxI6n0BwQEDwO45Ja/37G2kBwTFwoKZBjyNp6wq5VE1iQKZAJI09tgnmIiLamW2zjXV5ISMkMe4B9EQgSdyCRiCT+y+ohz5YZxFw/Ip/fTiGxcbQ8XP8YoiAExwxoJDeByc40scq9iP7SzpFUg9J50o6up3Du0naUhKv3D+TtDl7p84WVVqCg7fUiEQiGgnBQXo+wo1lMTpiUE5BmUNWBAcdQSiF6KytKDoU6FGwISfroMiWlDWde64JdEIO9OplJARlP2ecYeQChugo5TnXXGMEx5ZbSptuKl1wQfoI9O1r5AkisRtvbCKx771nZMquu1omSdLx5IUXpNlnN8wpkzmFPwOdGAKld98tvVN1+9PqFp8/+CC9j35kqgj4w3mqMEV7kOMXLTSpHXMMU4cqygMdvyhhSe1UWfBzgiM15FEc6ARHFDB02wlIjVclLSfpfUmPS1pf0otVI/eV9KgkVCHZiS0laUBnM5eW4EBnAP0ERCMpO6CDxH/+020QohiAzhiIXpJFcNVVw13K5MMlKZOo7sTRPgBs/slEaERgM4pgVjnxxhttWhsQO2+9JS20kJWR9OxphAPirhhkw0svWWeVL7804oMuMmRhpLVFF7XyF0lvbbaZpoMcIROGUh9KTCBPPv/cRoN8oVsNZN2aa5oIaWe2/vrWMYVuQonR2paSpmrSI62vflynEcjk/vOY5xYBxy+3UGc2kWOYWWhzGdjxyyXMmU1SFvyc4MjsEslkYCc4Mglr7oMuLAllweUrM+9b+feoDjyZV9JpkhbtzNPSEhxJR4xxx7XN6QILWBeMMhhv4sncOPtsadCg4SvK5MPlqKOk/fazUhgyYWoZm3+0JHbcsfhteF95RZp1VgktDMgdOtKQnQLRQOYEgqu77GJRmGkm00CB0IDg2GknayEL4ZHWkjIXSW9usYWmT0qoGJMWtIjIogtCFxvmwAeyO2hR21W5FSTIa6/9pdEy3CU6vTz/vASR4xY0Apncf0E99ME6i4DjV/zrwzEsNoaOn+MXQwSc4IgBhfQ+OMGRPlYxH7m2JEpUKEHBNpK0oKTKK+W/uQ65QQF+p3UDpSU4EIhkU06LWAiOeeaRBg+OGd90viH4ia4IG+qqMoVMHg6OPVbae29p2DBpzDFr+8fmnw4iEC0QLrHYDTcYEdARMVPLTzb/c80lXXmldPTR1lKVrAcIj3HGsRawSWcTREfJhKDsiXKo3Xe3Tj3XXps+ApS/VERi3xg0SDMk+h277WalKvyODA6+uJ5HGUWafnrTPKGcpTNDVBcdmsdJ9KoYpAdrrM7qSO+tH9lJBDK5/zziuUXA8cst1JlN5BhmFtpcBnb8cglzZpOUBT8nODK7RDIZ2AmOTMKa+6DrVLI3qgmOBSTtWMOTgRXiY0lJP9f4Pa/9h7/6n2SSSXoPHjxYw4YN01iUc5TFfv9dSy27rH4Zbzz9Ou64+n7aafViV601C7D2HsOGafFVVtHr226r98kYqFgW+E155ZWa8cwz9cBNN+n3DgiOiYcM0exHHKGPl19eLyPMGYGN9sEHWmjgQL20zz76BJIjpY312mvqM2iQnj/sME11xRUa9/nn9Wnfvnp57721RP/+goR4j9IPSQuvs45G/fxzvbLHHhr522+HkxOfL7ywnu+qu0mVLwtsvLHGgMigzmyzzTR7Rb/jq3nn1R+jjqpRvvhC//z2W43y5Ze6n4wOSZwzbMYZ9SICsJ3Y3LvtppF+/VVPUVZTsZmPP15jvv22njoN7tMtZASyuP9C+udjdR4Bx6/4V4hjWGwMHT/HL4YI9O3bdygy8jH44j50HQEnOLqOURGOSFuisqwkdjWQG592tbDSZnDQ+YMWsZNOahkcdMOo5+16V4Fr1u8RiKRMoao8BVcyYc9PPtnELpPyiFprJoMBQcv11pMuv7xZURlxXrIWKEmq1dmFtq50GHn5ZYm2utWWnHfTTRJrHzLE1kasyZ6gbAUxVQwtDDIkEB4lg4OWrpApFdHXVIFIskAkvb7ddpqRsTBKUead17I2iD3zJFocZJhQHtPVtUyWx6ijSnfd1eYKujSMiSaNW9AIZHL/BfXQB+ssAo5f8a8Px7DYGDp+jl8MEfAMjhhQSO+DExzpYxXzkSNXREaXkUQbBHLPN5D0QpXT6G5cXSlleS3NYkpLcLD4pEUs3VTYTNI2s+iW6ESgJ7IB8Jtl8nDA239KYdCBIIa1jLKKrbeuvzwjSxzY1NNGF79o+VptkB4HH9zWjrX6dwh+IvwJSXH66SYuuv32pi3So4d1lOFcjNInuqfwO8gHxkWvo5pQ6GqNtKSlNa2k13bYQTNVZ1bwO4RMmYPx337bRuvd21rZ4ltnRktZiL1bbunKC/99gAhkcv8F8MuHSBcBxy9dnGI+yjGMGZ2ufXP8uo5RzEeUBT8nOGK+yv7umxMcxcKrM29XlHRypU3s+ZKOkHSopCck3ShpiKS5JNmuSXpX0qqdDVhqgoM39LytZnOeZlNYhOuEzhiIU6IxgbhnxTL5cCGjgA0+7VLJWKhlbMoRGF1xRenmm+OIIEQWehjoZ7QnAuiCAnmBQOgMM4zoL6KetBOGpIAYoUPNnntKaJGQDUTrWIgMbOyxTZvkhBOMgECQdfHFpfvvTx+DCSe0DA2Yy5131sztW7+usopE1gUZImhnYAsvbHogdK/pzND3KEvWUvqINu3ITO6/pq2m9SZ2/IqPuWNYbAwdP8cvhgg4wREDCul9cIIjfaxa7shSExxsQnmLDcHBVxneZldvwskYyJLgoDSDcg7KYiCIatmJJ5rA5jLLWElHDEY74I03tjIPhEKrbZ11pKuvNsJgjjlG/F2S+QFJce65JuRJxgaZG5SosE6IDAzxUso9jjnGMlyOP95ayj78cPoIJCQJBMeuu2pmurRAsDzyiPTTT9KAAVZGAwkCoYUtsYQ08sjS3Xfb/194wbJJJptsxHlnntmyPWIpG0oflUIe6Q/nhYQt27+fxQ5J4bz3e7BwkI3gsOPn+MUQASc4YkAhvQ9OcKSPVcsdWWqCAy0DiA3elNMutqu33kVAH5KGDhmPPmo6ExXL5OGATf5WW0nvvitNNVXt6CStZNF8eOCBOCKYZJ6QvfPJJyP6tOSSlmXxxBNGAFQbpSm04KVU5aKLTHsDAmOvvSxrYostrFUsRsnKH3+YLgcEB9kXjMe4aQ3S5Ndfhx/9V5tYymrwmSyUTTaR/u//JPRkOBaj9Aby48EHpd9/N7KDTA1awlbbNNNIfftalxe3zCOQyf2Xudc+QaZ/Pz28uUbA78Fcwx18MscveEhzHbAs+DnBketl0+3JnODodgjLO0CpCQ7IDTI4eMM9xhjSnXcWH0hamPJmv10GQiYfLnT12Hxz6a23TMOklv3rX5bhANkC6RKD0eJ1333NE8gAxDYTm202ExiFjIGUqTbKWSj7QWwUjROERtEhoayFDAl+B+kBsQHBgZHhgQjomWdKlIU880y6CCQiuPaE820AACAASURBVJWjP1htNU1BlgaEydRTWwbKfPNJlCRVG6VAlMQ89phlelCygjFe8i9lLbPOKq22Wlyte9NFppBHZXL/FTISxXTa8SsmbtVeO4bFxtDxc/xiiIATHDGgkN4HJzjSx6rljiw1wUEHFUgOCI7qtP4io3z++ZZJgOgkb+krlsnDASUaZBHU0qtIJqarCK1R555bevrpOCKb+IQ37cmZRPcCsotsiGq77jppzTVtHYMHSxAl551nJA96HYssIlH+8ssvbaQJc5FxQbYL5MmLL6aLAeUtlLlU7K8SlYceMnFRso/695fo+lJtkBZk1Dz1lBFLEEx0VXn1VTvqxhuto82PP5pAbHtdj3Te+VF1RiCT+69OH/zwxiPg+DUeu1jOdAxjQaIxPxy/xuIWy1llwc8JjliuqHR+OMGRLk4teVSpCQ7aqbKhheDgrTv6FUU3unbsvLO9xWdtFcvkw4UshoEDJTq3oOlQyxDhRH+CjIGXXoojumzsybzAKOWgMwpGOUhS6kG2Rr9+bf/n99XZMddcY9kZaFhAGFS3Z/3+e2mssWxMylcgOChpqVUq0lFEvvvOyl4qdv8tt2gJ5uCaxcjcgMBq370GDRFIFLQ3FlzQMjnABowwSmh2282+TwRS40Cl1F5kcv+VOmJxLc7xiwuPRrxxDBuJWjznOH7xYNGIJ2XBzwmORtBv3jlOcDQv9tHPXGqCg7IKyA3ehvPWPRaNiO5cFWRLkDXQrvQikw8XshjWX9821GQn1DLIFkiX6aaT3nyzOyur/9xLLrF5EwIjGWHTTY1wwK64Qlp3XfuelqyJWCqZDRAAkF6Ig2LVhA7lIpAXSbcayASuI3Q6vv7avscgE+gyc9llRkgk7Vy7Wg0EFeVTFbv/ttu0xPLLd3WWtQamhAZCgzbIEHeQIOiAYElWB9/T9eWww7oe04/odgQyuf+67ZUPkDYCjl/aSMV7nGMYLzZpPHP80kQp3mPKgp8THPFeY7U8c4KjWHjl6m2pCQ7eqLMR5YuWnohHFt3220867jgjbP7Rdmtn8uFCm1TIgeeek+acs3bk6LKCLgXEAd1W8jR0MSAeEOSstrXWMj0Q/KHLy6672m/Rx5hnHvseXQ1a3FJyQpYKBikCOQJRc9NNVuKRlLLQsea330ygFDIBAVOMFrkQHMSqnhh8+KE0xRR/eX3/7bdrCTJKujL8u/dey+AgiwR9ETJT+KKVLYRLIoQKuQHJ4ZZ5BDK5/zL32idIIuD4Ff9acAyLjaHj5/jFEAEnOGJAIb0PTnCkj1XLHVlqgoOyifHGM4KDVpuxiGB25ypj082m/KuvRhglk4eDa6+VIAvQpEBjY9AgidKK6taj6FMgRkq5DFkJeRmZC5SbUNaBHkW1QRTgJ2UebPjR0sAgKxISgcwU1nHWWRKdS7DqrjF03KGDDJoYaG+svLJlgDBmNTkBwQPBAclCRgaCo2kMbZDpp//ryPvuuENLLrdc12eCAeQLa0ZjBv0NOqiQVUKnoC23NN0QDCJsjz26HtOP6HYEMrn/uu2VD5A2Ao5f2kjFe5xjGC82aTxz/NJEKd5jyoKfExzxXmO1PHOCo1h45eptqQkOsg7Y9EFwsAmtp4VnrijUMRkCo3fcIb333ggnZfLhQnnG6qvbpp6OHosvbiRGtdYG2Q+UdpBNAKmQl0FYQaok5FX1vHQWQd+CTjO0fYW4wJISFL6nHAQS44QT2jQr6ISy3XZGZNx1l2V2QCSQ9ZFksrD2d95p6yoDocDxN99sZFo74qnDcNDJpars574779SS7UVPa528/fZWdoP2BsKnZJbcfbdlnVCug59kk2CUDpFh4pZ5BDK5/zL32idIIuD4Ff9acAyLjaHj5/jFEAEnOGJAIb0PTnCkj1XLHVlqgoONKRtdNp7vvy89+WTx8aVF7LPP/k3QM5OHAzIFVlnFNtPzzy/16WMaE9WZGsmGGj0IymbysmqCgLaoVYKdmmMOIw/IbGDTn5SwVAtwshYIr0MPlQ480LxGmJQMGdYHWUNpC6QILYYpDbnnHiM33njDBEUxusxAcEA6jTmmlUKlMTAkK6Zi9w4ZoqWWWabrM/GJTjroyXA+81Naw1p69zbiBl8wSofI+HDLPAKZ3H+Ze+0T/HX/3XuvllpqKQ9IgSPg92CBwROVl34PFhnBsuDnBEexrkInOIqFV67elprgYBM79thGcPCGGw2GottKK1nXjnbZKJl8uNCidMUVpYcfNiFOiAMyGNB76NHDIkmGB5ke2O+/mw5EHsYGf4klbCbIAkpVEpt6agmygCwX2qVSZoLts491fMFPykO4Jvbeu62EBb2O3XdvK/eoXgeZHWRGoL9RTa5suKGVrEB+UDJD+9c0hlDoAgv8deS9d92lpcjG6Mrwl8wMsjYonYGcQWsDUoMSF7JXHnnERrnwQiNA3DKPQCb3X+Ze+wRJBBy/4l8LjmGxMXT8HL8YIuAERwwopPfBCY70sWq5I0tNcLApp3QCgoNNKSULRbcllzRxUYQmqyyThwM2zWQEJK1WIQXQjoBgSUQ2KQGhswgGmTDaaNaZhEyHjTfOLtq0cV17bRuflq9oZCRG2Qpz4yclJkkLVTqQoMOCbxBf6FYgNpq0lD3mGCNBaANL1ka10XHl9NOlH34w0dVevey3ZLBAcBAjcEEbJI1Buiy22F9H3nv33Vqqb9+uz0Q0FE0RyCf0RM455//bOxdgWaryCq8CDGqRxFLQKE9R3oJcBa6EKBeBgHBVEEh4FAaIIA8VUAMCysOAKCpCjKiooICgBtAAylNBVAhBSVQwaBCJiA+Uh0iBECOpj703p+8wc07PmX7snl5/1a177znde+9eq3tm9pr/X3/I0qDjDdk9iFB0vSHSz+Ye1UdMiEAtz9+Ea/Lp5REwf+WxyvVIc5grM+XWZf7K4ZTrUdPCnwWOXO+w4euywNEtvhpd7VQLHLQRZcPNN+9DyjoaBbqqyShDoHsI5SOFqOXNBR8KfCEQLMiWYF68TOjgse66YXYyJcgmIJLR5Y47Bt+On/60qqt+8jiYgx5wQPg53VDwpiAee0xaZhnpiCPCejASveee8DsyHp72tCByIGIQe+8tveY1EoaqCBcYqlJqQ8lNMY45JpSzkP3BMfBAcK0IHMnAlk4rCBWUyFAiMirArFCScs3VV5dLkWcNrOX884PAg9CByHTaaQGPlVcO5VgE18T6HLUjUMvzV/uqPUFCwPx1/14wh93m0PyZvxwQsMCRAwvl12CBozxWvTtyqgWOxCYdM/DfSN/kd5nltdaSFiwI384XopYPB2SJsFlnM87fGLY+8EDIHiGThMB4lOwFImV2UCZBtkydpqOUZRx9dCgLOfhg6aSTwhrIsMALgyyH3/9eOvbYUFKD6EEbV8QASmqS6EHWAyIB15WCLIxCC97Hf1zM7kAIITuIwKOEdrTJ3+W222b8ORBbRgVZL6wlRmmBg+tCvME4FYNTcMZM9/jjpaOOCl4kCXf8Q8hacdSOQC3PX+2r9gRPPH+u/+/8zeBnsNsUmj/zlwMCFjhyYKH8GixwlMeqd0f2QuCgGwa+BGw+ux4rrSRtu+1MZ5C0Qa7jA3ryuaC9KpkciAmIBWTEpPKQhQuDCSlBxgYZBBh7YkY6LBOiKvzpDkKGDqUymG1+4QthZEQW2qeS0YBQQQkKP6MkhbIThBGyPxAlCLBMJTb8H28RsjAGIxmQJg8OhJ10PmMhehCUkCA2kDlEyc6oSB1qEn9lMzjo+kLrV1rAUjZD9gitYml1y8+SNwrjFjNbqsLd4wxFwB/Ou31jmL9u88fqzWG3OTR/5i8HBCxw5MBC+TVY4CiPVe+O7IXAgdHitdcG/4iuB34idPQ45ZQlrqSWDwfXXSdttlkQABA4yIIgUjkE/yabhJINgq4ltC5FSCB7AjFg+eXrQXzXXUPWBIIPQkrKIkHEYsN/9tmhzITjyHJg7WuvHX5OVgedUAjEkaL57Chhgs4ltOhFuMGcNBmCggtmpik7aNVVg8cHRqf8nYJOLxjEknnBOhCJ8O+IUTqDIwktRx4pvec9EuOSwUG5y6mnhiwbrpkMHwxhmctROwK1PH+1r9oTPPH81SEQG95GEfAz2CjclU9m/iqHtNEBp4U/CxyN3jYTT2aBY2IIp3eAXggc++wj4SdR3HB2kVJKHti0Y4RJlkAhanlzwVeCUowvfzl4cJAFQRRbq+LFwUaaQEhAcECEIX70oyA21BEIDAgbK6ywZIccRA/8MWgNy3rZ+FNSg+BCtgZZKfvvH3xECAQY2sKyTgSaUe1uEQwodcLAE48LDD7JlsAoFIED0aMYGJ3ee+/MT1I2DC1dMUAl+2TPPZ/4fWmBA18P1o/fxkc/GrJNuF6EFUxQyaDBeHTffetA3WOOQKCW589oN4aA+WsM6tomMoe1QdvIwOavEZhrm2Ra+LPAUdstUsvAFjhqgXU6Bu2FwIFXAVkIyXyxq9SxScck88QTg8hRiFreXGhFu/HG0kUXBaEjdU6hPIRWpcQLXyj94hfB+wJjUfwvUtYAAkmhFWqlsNMWlrnxnChm5yRjVP5GvCBDA0NORAyEAcQIjDcH2uw+bjTKdRLDvDP43WtfG86j5IVsDAQU1sGY/CkGGSMIMMnL4/OfD5kVKfvlU58KHhoxSgscKZOEsRBxKIMhiwTTVLJDyOZw95RKb7Uyg9Xy/JWZ2MdUgoD5qwTGVgcxh63CP/Hk5m9iCFsdYFr4s8DR6m009uQWOMaGrD8n9ELgwJ+ADSob8S4Hm3QyFhAXEBkKUcubCy1WX/KSkLHB5h6xgGBzTXcSglIMfDnorkJJC5v6RYvC7y6/PGQ61BHPeU5Y07LLSueeO2MaimjA/xEcWAvGomQ6UFpy8skhkwOD1FTSktZ2+OHBSJQYJnBcdZW09dZBTCEzY4cdguCz2mrBewTTUnAgED4w+kxtc/nZhz4kvfWtwScDDw3WdOCBTyBTWuBImR/giqDEPUGGElgj5NApBtNUslUcjSFQy/PX2Oo9kfnr/j1gDrvNofkzfzkgYIEjBxbKr8ECR3msendkLwQONpJs/u6+u9v8Uh6x3nrSkO4YtXw4oLVuEjXwi0hGnpR9sOEnMPQki4LyDkpBEDoQQIhiJgFGpAgldADB12OSQDhYbrnQNYQSDUQDxAwyKyjVwCuDTAl+hgCCseiNN4ZSGspmECrS+tM6zjwztIwlhgkc118/Ix48+KC0yy5B3KAUBYGD9rG0pSXIYLn11nC/IUgx3mGHSR/4QPD/oM0rHiqHHjq+wAEHdH4hs4bxEW4YE2wxLiUT5VvfCmt1NIZALc9fY6v3ROav+/eAOew2h+bP/OWAgAWOHFgovwYLHOWx6t2RvRA46KTBZptvu7scF18cNrBDSj9q+XCATwUlDwSlJogUSy0VyjKSsegznxm6puB9QRYBIsIhh4Rz6FZC9gylQRyDGMGmnkyKSYLsC7qYsKFH9EE0QfSgfOOgg5Y018R0k0wPTD0RPugsQmvXSy5ZcgV02UmtX4cJHBiRbrihdMEF0iOPhPar66wTzEvxdkFwoaMJgT8IrXUxMmV9eG4wNpkVdD6hpS1/yBqJUTqD44tflF73ulCeQ1cbOEKcIYuDFrKULtHRJfE2Cc4+tzQCtTx/pWf3gZMiYP4mRbD9881h+xxMsgLzNwl67Z87LfxZ4Gj/XhpnBRY4xkGrZ8f2QuA4+GDprLOk++7rNrupzAGh5lnPWuJaanlzoTNI8tOgFIVMBbIWwJFsCbIj8Nwgm+DrXw9lQJSpsHmnRWvyCkmbclbM5hyRYJJI4gBrIDMHUYN/H3dcyG5hfcn7gvmYn6C8BGGE7AvOKwYdX8i2IIYJHGSorLlm6MLCtdGZB3NPvC8QOFZccaYNMW2JKSVBBEJIoXUsWCGMkE2EGShZJUcfLVFq86tfqbTAgeHr4sXBX2T11YPYlXxH9tgjXH9q1zsJxj53LARqef7GWoEPngQB8zcJenmcaw7z4GG+qzB/80Uuj/OmhT8LHHncT2VXYYGjLFI9PK4XAgfeBxgwPvBAtxkmE4WNc3EDH6+oljeX1HKVOdIGPbUnTeUndB3B74GNPFkSbMCvvDK0iN100yA08DdiB51Y4ABvj0kCk1A6tiA6IDiQIcG/8d+gLAWRJQUiDdkM+GXgy0EGCt1LwLEY+GdwLaMEjrvuCh1i6GJC9xTmooMKvi4IHHSToaSHSH4edE5BSKF9awqEkU9/WnrXu0KbV0p67rxT1zzwgBYl75LZsAHb1MEFPMkUSTxtsEFYA6UyZK44GkOgluevsdV7IvPX/XvAHHabQ/Nn/nJAwAJHDiyUX4MFjvJY9e7IXggclAXgycC37V0OhASyNwY7gAj7i2vKbZDHuf6f/CRkCRSDUg48ICiRuOKKsNmnXANjT0QD/rBGxASyKgjEBbq/kHnA75NXxThrSceSXYHvB1jQcpUyFQw/MdzkZ5TwIGYVgxIOjD933jn8lBaqxWMoL8EUNGV9DMvgYM34bVBe8/Snh44seHkgoJAxQQkK2BCYwL7lLdJXvhKuF2xSsAaEIDw5PvzhUFozDn/4nGyxRRiNUhuyZlJ3HUpWEGr4Ay+OxhCo5flrbPWeyPx1/x4wh93m0PyZvxwQsMCRAwvl12CBozxWvTuyFwIHJQL4E/DtPt/gdzXWWCN0NaHl6EDU8uGAjTumncXA3+HCC4NRJr+ndAWfDTIbaH3Kpp1MBzIq2Pyn2G47CXPSt70tdCFBLJhPIJwwJ2UelHtcfXXwvMB8EyNUBIiCeefQKehAgxcHayAbhvUy7sorB7+QYQJHMiw9/viQHcEYeHtgPorZZ/LdYEJKcHbaKfi+gAlZFyle9aogfOBTQiZHFHtK80fZy4IFYbRiN5vnPjdkgyB+kNXhaBSB0vw1uipPVhYB81cWqXyPM4f5clNmZeavDEr5HjMt/FngyPceG7YyCxzd4qvR1fZC4EgtOTGBZCNYZeDHQAkERpeUPtQVGHSSBUE2CqUNA1HLm0sqyyjOhXEm5SdkLJAFQakGbU/pEEKWDN08yNSghCRlNHA+66ZUBU8MMlDwr5hPpAwGRIOttgqZGxttFISTD35QuuwyaZttZh+ZtbBePDXoqkJnGtaLRwbixlOf+uTz+TklLJSf4H9B2RMCA6U5dFXhmpNxKaIH1/qJTwQhJhmyMiplJfiVHHBAEEJiZ5/S/JGtQcYJXVvAnjmIhQuDCSyiCWUwjkYRKM1fo6vyZGURMH9lkcr3OHOYLzdlVmb+yqCU7zHTwp8FjnzvsWErs8DRLb4aXW0vBA42nqTzs+FmI1hl8K05ogn+GGQv1BW33y694AUhI4COGQNRy5sLJSaUgxQDkQgzTrqn4AXBJh1zTzI6EA0ovcCnA+GBriFsxhEA2HjThYQ/lGikcpFx8UodQ8gQoUwGgWKttULrWdqjkolBRsZsgf8FmRh4aNCRhZaqnDtX0A4X7J/3vCB08G/KZBAbim10U2YL2SSILr/9bcAAQ1ZMWxF46OhCiQ/rHadEhYMRZOjOgnku7WYJxBa67MAZmDsaRaCW56/RK+j3ZOav+/ybw25zaP7MXw4IWODIgYXya7DAUR6r3h3ZC4ED48UXv3iyjfWoO4PNKl1E6MxBmURdkVrEYlzJxnwgavtwQDYCPhfve1+YkZKOZzwjCEaUh+BrwkaejAZKQ+j0QvkHgsF55wWxg00+HCCWUN7BWAghZYNsDcQTMDjhhNCBhEwGPCeSwIQvBoGQkLw0Ro1PBsxRR0mYldJhhfIZzFHnCoQsrpuyHcqeELW4VmKvvYKIw9ysDVNWhB/Wi18HXiZkbtBGlz90WgFbMmLGFTgQMyhTAlvGJxB8EJ8233yuq/Dva0CgtuevhrV6yCcjYP66f1eYw25zaP7MXw4IWODIgYXya7DAUR6r3h3ZC4GDTTkZB2y02YhXGV/6Utgop9KDKscujkVLUTazdCEhE2Agav1wAG6UoRBp855a1vKzVKqC2Sd40DkEHwhKVujwgSCwzDLhfMo7EIMoGyobzM0ayAjBsJMyFbIkiIcemsGDTia33DL3qAgylLQk75DddlvSCHTUCGSMbLJJKG1BvKDU5f3vD0fjB8L1YmYKR5QTUSqCNwnHcA177x1aurJ2MGCtZGKMK3Ace2yYnywSvGUcrSNQ6/PX+tVN/wLMX/c5Nofd5tD8mb8cELDAkQML5ddggaM8Vr07shcCB/4JlBfgWcDGvMqgLIWOGZRJ3HprlSMvORYdQmhJ+t3vDp2j1g8H+Dzst1/ITqAcg79T5gqr+exnZwQQ1kjZB61gTzpJuuOOJY1dyXZBbLr88idfB34mlI7gZfL858/8PmUsUNaBcSlGsWRDEHCLeMK5ZTMxECIOOihkYTAffhj8bK4gO4L5ELMQFhAYkh9K8iGhfAXvEjrHUI5D9knyxSDjg6yWe+4JBqW0l43+HGPxl1rjUhYzxHB2rsvw76tHYCz+qp/eI06IgPmbEMAMTjeHGZAwwRLM3wTgZXDqtPBngSODm2mMJVjgGAOsvh3aC4EDUvl2f511gmdElcEml408ZRtkitQRbKrJfMCgM5lKDsxT65sLpTe0hiVzhBIQglaklIgQeGpgpklmBUHWBiUZGKNizFkMxkH8wDtjMPg5XWLIsiFjIwUlOZS8IIwgZtCJBNEgBd1Q6EZCFgXrmCvOOCN4YJx6avCxeMc7pBNPnOusUIZy1VXSHnuEVrBwTyYFQYYNBqt4bFCCgl8KQhAlKJS/IL5wPHOSBYNgxf1yww2Pnz4Wf6l9L6IM4oyjdQTG4q/11XoBgwiYv+7fE+aw2xyaP/OXAwIWOHJgofwaLHCUx6p3R/ZG4GBDyTfnN95YLcdsdimbIB5+eHgHjklnZJNMeQTlDmRSDIlaPxyQbQF+iCx0UElBVszvfhc8Omh9yvoIfjbK6BIxgSwaSkuWXnrJK0E0QHAg8wGxI8VqqwWxhMwIAkNTyjRSUAJD2QdCE2UjcwV8wRvZFJSnIG6wrrkCAYN5ERXOOisIFhiWEviK8H8yVOhmwjWkbBv+z885n7VzLVtvHUQiPFXGFTg4AUEHP5O5/Ebmuib/vhIEan3+KlmhB5kNAfPX/fvDHHabQ/Nn/nJAwAJHDiyUX4MFjvJY9e7I3ggcCAMXXRRMKQeDTea994aygdmCTAq+fcdfIQVlC9deG/5HycEqq1R/D5GVQHkDm342zkOi1g8HmGHSaWTllWe8L1jDK18ZjEbJiuHaybwoZnkMW+jppwfvCwQJxisGvhT4dxAIKQgqlMTQtpUSEDqWUAIzKPTQphc/CzJNGGOuuPBCaaedQlYI3JFVUiyJGXX+OeeE8hnECUp0EDSSMEKp0pvfLG25ZcjyePnLQ6kOQZkOIkzyMqGrClko3EccOx+BY65r9O8bRaDW56/RK+nnZOav+7ybw25zaP7MXw4IWODIgYXya7DAUR6r3h3ZG4GDzhuUEQxmWeDdQHYE2QH4JdBmkxamw74Z33338O38zTfPZGpQisBmnKyF9E39XHcRG1wyGOjKkYLskpe9LGQTFFuoMi7+HpR8IMSM+Ma+1g8HGGHSmhRzTTwwUiQvCzI4KB3ZfvtQmkGJyqgAY9rL4qGBl0UKxCP8KzDppCNIaiWLoMHPEXnIggAbxmAtKRBfEGHK4o/gQBcTBC/KXsoGggjlMogV3EcIHJiVErTvpewFo1U6s5DxknxG6DRDl5ePfSxkf9DthJIV+CfzxQJHWQayPa7W5y/bq56ehZm/7nNpDrvNofkzfzkgYIEjBxbKr8ECR3msendkbwQONpJswDFlxJwxBd+g8418MegKgphRzNRgE8/mlaA1KCaVlBhQirHppmHDThvTxYtnv4fIAKETBz4KbIS32iocnzpjkKFx002hEweeEpRRsPlnc81GfkTU+uEA8WellUKr3WiK+fgyWBdZCmz6b789CEWbbTaTuTBsranc5swzg6dFCkQNRAsyIWjhSoYFXhmUFIEXYgQtWodFEhMQpzD3rCuS2ILIRMYH5TT8IVK5y+tfHzJN6KBCGUtRFErmoJddFjI4KG+JHh618lcXHh73CQTMX7dvBvPXbf5YvTnsNofmz/zlgIAFjhxYKL8GCxzlserdkb0ROCh1IBOCcof11w+baEob2EgjTtBRA8GBjA427WxiySLg92RRYFKKmSW+E2zmETjICnnkkVCaQetRhBG+xR8MMjYQK/jdJZcEDwo2yGyYyTwgIwBxAMEA40mMKunIQrcQSlPYwLMhniVq/XDA9XPdZJiw3mEBvmQpIEKkMpNhxyEKwQF4J4NOjsN885BDQvYHP0csopwIYQpzVUSfBQuGz41gBa5kStTpSQE/XCMi1WGHSXiDwCuBAEaJE/cFAtjPfhZawC5aNGPGmkpjKO2hNIYynZjFUyt/vXtVa/6CzV/zmFc5o/mrEs12xjKH7eBe1azmryok2xlnWvizwNHO/TPfWS1wzBe5HpzXG4EDLtl44pNAsDlFoMBTgW/SMYAk2FQjVlBeQObC978fWoKSWXDddWGzus020m9+E0os6MyCwIF4csIJ0pFHLnnXPPpoECjwqkAgQcBAtGBOOoYQlEkgaJBNwmYdHwuyG5iH7IUSUeubS2rFymb9q18dvRpKNl760iUzZIYdDfZketBeNgWZLJRuIApcemko4UA0wNuDNrx33y2tsMLwufHkoDyFMpG6A6GLLikIMV/72ozpK/9HpDriiJnWsYNrSWat/Bzfj8997okjauWvbkw8vr897vg94Oev4wQ6g6PzBPoZ7DaF08KfBY5u3YcWOLrFV6Or7ZXAQZYB5QGUlSA68E08mRR4avDNfDEQHMgYIMvjO98J39QjkBBsusn22H//GS8OOlpQnoAQkgJxY599wkaejS9dPihZxN3qxwAAEi9JREFUwKCS+fgbsQMRhc0u2Q9kS1Aag6fFGFH7mwviDKIEmRKTBuU/tE4FRwQfyjvoLoJQRDcSsjzw3aD0Be8RcIerOrMzyl4Tnhv4pdCmNpm/knmCKIZYRpbOFlsMHy15ePBbxBjujRi181f2+nzcvBAwf/OCLZuTzF82VMx7IeZw3tBlcaL5y4KGeS9iWvizwDHvW6CVEy1wtAJ7NybtlcBRpITNNRtr/DfIOhgWqW3piiuGzALKNEYF41BGwbf7bMYxC6WrB91ZUmYHGSBkL7B5LwYZEhNu3mt/c6GMhmwSynYmDdqn4jWy994UTgc/EgJ88DMhEDzIqsF0dOHCYCyaWyDOwDGiRhlBCv+SVGbzve+FUqkYtfOXG3ZTth7z121CzV+3+WP15rDbHJo/85cDAhY4cmCh/BoscJTHqndH9lbgKMM0fhz4QdD1g+yF2QIBhE077UHvvDN4MOy4Y8jq4PwJBYy5llv7hwMMM2nrOio7Ya4FDv5+jz2kc88NmSxkw5AhQpeUFPffH7JrHnwwGJvSxaXrkYxUuY4//EFaemkLHF3n1ALVVDBY++vnVKCU90WYw7z5mWt15m8uhPL+/bTwZ4Ej7/tscHUWOLrFV6OrtcBRIdx0BqGUBWEEf4a5RJEKp+7cmwsY4VuB/8jyyw9H4oorQskORq/TEHiMkA1EkLVTiM7xNw18VHgN5q9CMFsYyvy1AHrFU5rDigFteDjz1zDgFU83LfxZ4Kj4xqh5OAscNQPc5eEtcFTMHh1W6JoyquNHxdOl4ablzaUmePIYlta/eLUgcpDhY4EjD14qWIWfvwpAbHEI89ci+BVNbQ4rArKlYcxfS8BXNO208GeBo6IboqFhLHA0BHQXp7HA0UXWnrzmaXlzmQ42ZrmK006TFi+WVlnFAscUke3nr9tkmr9u88fqzWG3OTR/5i8HBCxw5MBC+TVY4CiPVe+OtMAxHZT7w0G3eTR/5q/bCHR79X7+us2fBQ7z130Eun0F0/IaaoGjW/ehBY5u8TXbareVdKok3Ak/Kem9AwcvK+ksSbQFuUfS30q6Y7YBLXBMx80xLW8u08HG+Fdh/sbHLKczzF9ObIy/FvM3Pma5nWEOc2NkvPWYv/Hwyu3oaeHPAkdud9bs67HA0S2+Rq0WUeNHkraWRAH/jZJ2k/SDwgkHStpA0v6SdpW0YxQ5RiJggWM6bo5peXOZDjbGvwrzNz5mOZ1h/nJiY/y1mL/xMcvtDHOYGyPjrcf8jYdXbkdPC38WOHK7syxwdIuR+a12U0nHStomnn5E/PvEwnCXx2Oul7SMpF9KWoGeDaOmtMAxPzJyO2ta3lxyw7Wp9Zi/ppCuZx7zVw+uTY1q/ppCur55zGF92DYxsvlrAuX65pgW/ixw1HeP1DGyMzjqQLX5MXeWRInKG+LUe0paKOlNhaXcHI9JLRp+HI/5jQWO5glrcsZpeXNpErOc5jJ/ObEx/lrM3/iY5XSG+cuJjfmtxRzOD7dczjJ/uTAxv3VMC38WOObHf1tnWeBoC/lq590lZm8UBY5NJL25MM0t8ZiiwMEx+HEUYz9J/CHWkvRDSctLGimEVHspHq0GBMxfDaA2OKT5axDsGqYyfzWA2uCQ5q9BsGuayhzWBGxDw5q/hoCuaZpp4W/VmPleE0wetkoELHBUiWZ7Y9VSolK4nG9L2qi9y/PMEyJg/iYEsOXTzV/LBEw4vfmbEMCWTzd/LRNQwfTmsAIQWxzC/LUIfgVTm78KQPQQ4yFggWM8vHI9Gk8NTEa3lHRXNBndXRJZGykOkrR+wWT0dZL+puQF+cWpJFCZHmb+MiWm5LLMX0mgMj3M/GVKTMllmb+SQGV8mDnMmJwSSzN/JUDK+BDzlzE507o0CxzTw+x2kk6JbWLPkHSCpHdL4oXlIklPlXS2pAWS7o2dVG4vefl+cSoJVKaHmb9MiSm5LPNXEqhMDzN/mRJTclnmryRQGR9mDjMmp8TSzF8JkDI+xPxlTM60Ls0Cx7QyW+114clxerVDerQGETB/DYJdw1TmrwZQGxzS/DUIdg1Tmb8aQG14SHPYMOAVT2f+Kga04eHMX8OAezrJAofvAiNgBIyAETACRsAIGAEjYASMgBEwAkag8whY4Og8hb4AI2AEjIARMAJGwAgYASNgBIyAETACRsACRz/vgZUlnSXpLyT9MZafnFqA4u2S3h/bIdEelvuE3+Pz8ZCkvSTdFI//O0nvjP8+XtJn+glpo1c9Ln+LJP2rpJ/EVV4Y/Vn477aR26UlfVLSexu9kn5ONoq/YyXtK+nXEZYjJX0l/vsISX8v6f8kvUXS5fHn5q/5e2hc/laT9F+x5Tar/bdo9sy/Xyrp05KeFrk+WNJjzV9S72ac7TWU9upvkvQHSV+WdJifwezuj3H58zOYF4Wj+Pu8pLXiUp8h6X5JG/r5y4s8SePy5+cvOwqnf0EWOKaf42FX+FxJ/EGk+FNJ35G0g6QfxBcuNrprxw/fCBwIG3zo4++FcUPM38+MJqa0kOVDOePwgf2+fsLa2FWPyx8CB6LV4oEVImrQfWdrST+L3Xd2i/dBYxfTw4lG8UdXowclfWAAk3UlnSdpE0nPk3SVpDXjMeav+RtoXP74cHeJpBcNWeq/S0LUQPRAzPonSZc2f0m9m3EUh8+RdJSk7SU9IunZku6W5Gcwr1tkXP78DHaDPz6DpvigpN/GL2P8/HWbPz9/efHXi9VY4OgFzXNeJN/u/7OkKyWdL+kf4zf+CBcIHB+XdE3cZDHYDyWxaU5/3hhnGDxuzol9QCUIzMXfKIFjU0lkDWwTV0GWAHFiJavyIGURSPxtNkLgGOSF7A14I8xfWZTrO24u/kZ9uGOTdnUUk1kd4iLPano9rW/FHnkQgcQhGVQYaiMiFsPPYN73zFz8+RnsBn98BiXYm/xU0isl/bckP3/d5s/PX978TeXqLHBMJa1jXRQvPNfGbxf5cL1l/EbxDklJ4ODbR0oXvhlH/qqkw+OHcdrPUppCvEvSw0O+gR5rQT54LATK8AevF8QsjZ/HbI5bJO0cS1TeEGfcM2bokJ7taAaBIn9vjeVfD8TMqLfFbCjER77hPycu6VOFb/kpUTF/zXA1bJYy/HEMzxvZNnBLSd834usrr6tbxYFfHl9XBzOt2ru6fsxc5JD3QjbLPFe/j6+VN8YvAPwM5nk/lOHPz2Ce3LGqIn+8PhKvkHRyfI3k/34P7DZ/fv7y5W9qV2aBY2qpLXVhy0n6uqQTJF0Wv03865gWWBQ4qEPmW/2iwEFdMur6sgMCBx4dpBY66kegLH9/Fr1WKH+gzAg/lTUk7RKzN4obZMogKEdy1I9AkT98UUiPJ2OKci+yqPiGfx9JH5F0/YDAQTnDUuavfpJmmaEsf7xGcuw9sYTvS5LWi7XmvK4WBQ5eV1/d6lX1a/JBDm+W9LUo8m8sCU+A1eMGy89gfvdGWf7+xM9gfuRFTtJnUN4DU3xU0m2Fz5J+D8ySvsff18rw5/fAPPmb6lVZ4Jhqeme9uKfEunDS3VHK15dEZgYCBbGSJL7tZ8N7nEtUsrtRxuHvlwOrT+IVIodLHNqhdpC/wVUUUzqdntsOR7PNOg5/g+NQ7ocnzl0uUWmV2GEcIvSTVQNHxI8lvayQJZXK91wm1ip1j08+Dn/JuDmt2s9gnvyxqmXiayN+bniDEX4PbJ+vwRWMeg8cxp/fA/Pjb+pXZIFj6ikeeoHwTreTeyUdMgKCYgYHhmuULSSTUYzwED4wGcVY9CVxDExLeVNiXEd9CIzLH91yfhUzA+ANn5VVJSWTUcqS2GyRir17TKevb/UeeRR/ZGz8IsJzaCwX2jV+239uwWQUIRJxinEoezB/zd5T4/K3QnxNpAMO2QCUpyAo8zrJM0fG1A3RZPTDhc45zV5Vv2YbxeH+0cj36Gjky7O2SjQZ9TOYzz0yLn/L+xnMh7z43jXqMyjlYQgamxdWTMabn798KJztM+gw/vwemA93vVmJBY7eUL3Ehf5V/JD9/Vi6wC+LLSn5f1Hg4D6hBpIXLjI89o4eARxHCj3nEpS6nNlPSBu96nH5Q5w6ILY9xCMFr4fr4ooRrU6JYscZkcNGL6aHk43iD5NJWuJRosLzh9lkEjzo7MCzRutKRMnUacP8NX8DjcvfTrETANwhchwj6eK4bHyOUptYOEXscJvY+jkdxSHmorwO8hw+GjNtKFkh/AzWz0vZGcblz89gWWSbOW62zzC8HuJ387GBpfj5a4abMrOMy5+fvzKo+phKEbDAUSmcHswIGAEjYASMgBEwAkbACBgBI2AEjIARaAMBCxxtoO45jYARMAJGwAgYASNgBIyAETACRsAIGIFKEbDAUSmcHswIGAEjYASMgBEwAkbACBgBI2AEjIARaAMBCxxtoO45jYARMAJGwAgYASNgBIyAETACRsAIGIFKEbDAUSmcHswIGAEjYASMgBEwAkbACBgBI2AEjIARaAMBCxxtoO45jYARMAJGwAgYASNgBIyAETACRsAIGIFKEbDAUSmcHswIGAEjYASMQO8RoB0ubcifElsbfya2o/7jPJGhFfl74rmrSbpE0otGjLVpbKm8r6TzJK0X25ffJ+kKST+f5xp8mhEwAkbACBgBI9ABBCxwdIAkL9EIGAEjYASMQIcQeFDScnG9z5Z0rqRvSTpmntdQHG8ugeM4Sd+L890gadU45zWS3i7p2/Ncg08zAkbACBgBI2AEOoCABY4OkOQlGgEjYASMgBHoEAJFQYJlry7pRknLS1pK0nslLZK0rKSPSPp4/P+7Jd0jaS1J10o6MGZu/EPMCLlF0lGSLpX0TUl/KekuSa+V9HDEh59vL+kbktaQ9ENJF0g6PB7LcWR5pOM7BKuXagSMgBEwAkbACMyFgAWOuRDy742AETACRsAIGIFxEBgUODiXEpG1oxhBVsfxUeAgs2OXmGlxmaR1Jf2PJP6N8HG+pMEMjtskbSTpPyV9QdJFks6JAsq/SNpC0mCmhzM4xmHQxxoBI2AEjIAR6CgCFjg6SpyXbQSMgBEwAkYgUwSGCRz3x8wMMjY2kPRQXPufS3qjpEclkcHxivjzfeJxhwwROK6M2RkcSmYGXh8IJrtHoeRECxyZ3hlelhEwAkbACBiBmhGwwFEzwB7eCBgBI2AEjEDPEJitRIWMjNMlXT6ACSUr+GdsXhA41pd06BCBo2gyiq8Gfh/HSjpb0smS/sMCR8/uOF+uETACRsAIGIGIgAUO3wpGwAgYASNgBIxAlQgUBY4VJH1W0vXRZHQ/SdvFspT/lbRm9MbYOHprpBIVfDYQQvDPoLyFshaOHyw9SQIH4gglKxtKemzIcRdH8ePqKi/UYxkBI2AEjIARMAJ5IWCBIy8+vBojYASMgBEwAl1HYLBNbMqsoE0sJqOUk7xaEp9Bfi1pB0kLJB0d/0/mRjIZ5Zz3SXqNpJuiyeiwDA5+9iZJe0XwBoWQnaJhqU1Gu353ef1GwAgYASNgBGZBwAKHbw8jYASMgBEwAkagbQQoUSEbY/E8F/JOSZiPfm6e5/s0I2AEjIARMAJGYAoQsMAxBST6EoyAETACRsAIdByBSQWOjl++l28EjIARMAJGwAhUgYAFjipQ9BhGwAgYASNgBIyAETACRsAIGAEjYASMQKsIWOBoFX5PbgSMgBEwAkbACBgBI2AEjIARMAJGwAhUgYAFjipQ9BhGwAgYASNgBIyAETACRsAIGAEjYASMQKsIWOBoFX5PbgSMgBEwAkbACBgBI2AEjIARMAJGwAhUgYAFjipQ9BhGwAgYASNgBIyAETACRsAIGAEjYASMQKsIWOBoFX5PbgSMgBEwAkbACBgBI2AEjIARMAJGwAhUgYAFjipQ9BhGwAgYASNgBIyAETACRsAIGAEjYASMQKsIWOBoFX5PbgSMgBEwAkbACBgBI2AEjIARMAJGwAhUgYAFjipQ9BhGwAgYASNgBIyAETACRsAIGAEjYASMQKsIWOBoFX5PbgSMgBEwAkbACBgBI2AEjIARMAJGwAhUgYAFjipQ9BhGwAgYASNgBIyAETACRsAIGAEjYASMQKsIWOBoFX5PbgSMgBEwAkbACBgBI2AEjIARMAJGwAhUgYAFjipQ9BhGwAgYASNgBIyAETACRsAIGAEjYASMQKsIWOBoFX5PbgSMgBEwAkbACBgBI2AEjIARMAJGwAhUgcD/A1sLrL39fHjoAAAAAElFTkSuQmCC\" width=\"1080\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure(figsize=(15,5))\n",
    "plot(x,y,'r', linewidth =1.5)\n",
    "grid(True)\n",
    "xlabel('Depth/ft')\n",
    "ylabel('Water Saturation/(v/v)')\n",
    "title('Variation of Water Saturation with depth')\n",
    "ylim([0,1.05])\n",
    "show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"1080\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure(figsize=(15,5))\n",
    "plot(x,z,'g',linewidth =1.5)\n",
    "xlabel('Depth/ft')\n",
    "ylabel('Porosity/(v/v)')\n",
    "title('Variation of porosity with depth')\n",
    "grid(True)\n",
    "\n",
    "show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"1080\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure(figsize=(15,5))\n",
    "plot(x,z,'g',x,y,'r',linewidth =1.5)\n",
    "xlabel('Depth/ft')\n",
    "ylabel('Porosity & Saturation')\n",
    "title('Variation of porosity/water saturation with depth')\n",
    "legend([['Porosity'],['Water Saturation']], loc ='best')\n",
    "grid(True)\n",
    "\n",
    "show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"1080\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure(figsize=(15,5))\n",
    "scatter(z,y)\n",
    "xlabel('Porosity/(v/v)')\n",
    "ylabel('Water Saturation/(v/v)')\n",
    "title('Variation of water saturation and porosity')\n",
    "grid(True)\n",
    "show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}