THESIS_Tirrenean_Earthquake_plots.ipynb

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       "<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>#EventID</th>\n",
       "      <th>Time</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Depth/Km</th>\n",
       "      <th>Author</th>\n",
       "      <th>Catalog</th>\n",
       "      <th>Contributor</th>\n",
       "      <th>ContributorID</th>\n",
       "      <th>MagType</th>\n",
       "      <th>Magnitude</th>\n",
       "      <th>MagAuthor</th>\n",
       "      <th>EventLocationName</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>79</td>\n",
       "      <td>1985-01-02T22:57:43.090000</td>\n",
       "      <td>41.7150</td>\n",
       "      <td>13.9410</td>\n",
       "      <td>5.8</td>\n",
       "      <td>BULLETIN-VAX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Md</td>\n",
       "      <td>2.6</td>\n",
       "      <td>--</td>\n",
       "      <td>6 km S Civitella Alfedena (AQ)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>89</td>\n",
       "      <td>1985-01-03T00:46:16.990000</td>\n",
       "      <td>41.6770</td>\n",
       "      <td>13.9310</td>\n",
       "      <td>6.1</td>\n",
       "      <td>BULLETIN-VAX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Md</td>\n",
       "      <td>2.5</td>\n",
       "      <td>--</td>\n",
       "      <td>6 km NE Picinisco (FR)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>199</td>\n",
       "      <td>1985-01-04T16:57:40.240000</td>\n",
       "      <td>46.1580</td>\n",
       "      <td>7.1740</td>\n",
       "      <td>10.0</td>\n",
       "      <td>BULLETIN-VAX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>M</td>\n",
       "      <td>3.8</td>\n",
       "      <td>--</td>\n",
       "      <td>Confine Italia-Svizzera (SVIZZERA)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>229</td>\n",
       "      <td>1985-01-04T23:59:54.820000</td>\n",
       "      <td>45.3380</td>\n",
       "      <td>6.6410</td>\n",
       "      <td>5.0</td>\n",
       "      <td>BULLETIN-VAX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>M</td>\n",
       "      <td>3.7</td>\n",
       "      <td>--</td>\n",
       "      <td>Confine Italia-Francia (FRANCIA)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>239</td>\n",
       "      <td>1985-01-05T03:47:03.640000</td>\n",
       "      <td>45.4090</td>\n",
       "      <td>6.6270</td>\n",
       "      <td>10.0</td>\n",
       "      <td>BULLETIN-VAX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>M</td>\n",
       "      <td>3.2</td>\n",
       "      <td>--</td>\n",
       "      <td>Confine Italia-Francia (FRANCIA)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181772</th>\n",
       "      <td>24334191</td>\n",
       "      <td>2020-04-29T11:17:24.170000</td>\n",
       "      <td>45.9167</td>\n",
       "      <td>12.1917</td>\n",
       "      <td>10.1</td>\n",
       "      <td>SURVEY-INGV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ML</td>\n",
       "      <td>1.7</td>\n",
       "      <td>--</td>\n",
       "      <td>2 km SW Refrontolo (TV)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181773</th>\n",
       "      <td>24335541</td>\n",
       "      <td>2020-04-29T14:14:47.970000</td>\n",
       "      <td>38.4090</td>\n",
       "      <td>13.5617</td>\n",
       "      <td>28.2</td>\n",
       "      <td>SURVEY-INGV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ML</td>\n",
       "      <td>2.3</td>\n",
       "      <td>--</td>\n",
       "      <td>Costa Siciliana centro-settentrionale (Palermo)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181774</th>\n",
       "      <td>24336421</td>\n",
       "      <td>2020-04-29T16:23:40.010000</td>\n",
       "      <td>42.8882</td>\n",
       "      <td>13.0363</td>\n",
       "      <td>10.0</td>\n",
       "      <td>SURVEY-INGV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ML</td>\n",
       "      <td>1.8</td>\n",
       "      <td>--</td>\n",
       "      <td>1 km N Preci (PG)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181775</th>\n",
       "      <td>24336481</td>\n",
       "      <td>2020-04-29T16:30:14.850000</td>\n",
       "      <td>37.7683</td>\n",
       "      <td>14.6293</td>\n",
       "      <td>38.0</td>\n",
       "      <td>SURVEY-INGV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ML</td>\n",
       "      <td>2.2</td>\n",
       "      <td>--</td>\n",
       "      <td>3 km SE Troina (EN)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181776</th>\n",
       "      <td>24337031</td>\n",
       "      <td>2020-04-29T19:21:00.290000</td>\n",
       "      <td>37.8797</td>\n",
       "      <td>12.9638</td>\n",
       "      <td>10.0</td>\n",
       "      <td>SURVEY-INGV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ML</td>\n",
       "      <td>1.6</td>\n",
       "      <td>--</td>\n",
       "      <td>10 km E Calatafimi-Segesta (TP)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>181777 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        #EventID                        Time  Latitude  Longitude  Depth/Km  \\\n",
       "0             79  1985-01-02T22:57:43.090000   41.7150    13.9410       5.8   \n",
       "1             89  1985-01-03T00:46:16.990000   41.6770    13.9310       6.1   \n",
       "2            199  1985-01-04T16:57:40.240000   46.1580     7.1740      10.0   \n",
       "3            229  1985-01-04T23:59:54.820000   45.3380     6.6410       5.0   \n",
       "4            239  1985-01-05T03:47:03.640000   45.4090     6.6270      10.0   \n",
       "...          ...                         ...       ...        ...       ...   \n",
       "181772  24334191  2020-04-29T11:17:24.170000   45.9167    12.1917      10.1   \n",
       "181773  24335541  2020-04-29T14:14:47.970000   38.4090    13.5617      28.2   \n",
       "181774  24336421  2020-04-29T16:23:40.010000   42.8882    13.0363      10.0   \n",
       "181775  24336481  2020-04-29T16:30:14.850000   37.7683    14.6293      38.0   \n",
       "181776  24337031  2020-04-29T19:21:00.290000   37.8797    12.9638      10.0   \n",
       "\n",
       "              Author  Catalog  Contributor  ContributorID MagType  Magnitude  \\\n",
       "0       BULLETIN-VAX      NaN          NaN            NaN      Md        2.6   \n",
       "1       BULLETIN-VAX      NaN          NaN            NaN      Md        2.5   \n",
       "2       BULLETIN-VAX      NaN          NaN            NaN       M        3.8   \n",
       "3       BULLETIN-VAX      NaN          NaN            NaN       M        3.7   \n",
       "4       BULLETIN-VAX      NaN          NaN            NaN       M        3.2   \n",
       "...              ...      ...          ...            ...     ...        ...   \n",
       "181772   SURVEY-INGV      NaN          NaN            NaN      ML        1.7   \n",
       "181773   SURVEY-INGV      NaN          NaN            NaN      ML        2.3   \n",
       "181774   SURVEY-INGV      NaN          NaN            NaN      ML        1.8   \n",
       "181775   SURVEY-INGV      NaN          NaN            NaN      ML        2.2   \n",
       "181776   SURVEY-INGV      NaN          NaN            NaN      ML        1.6   \n",
       "\n",
       "       MagAuthor                                EventLocationName  \n",
       "0             --                   6 km S Civitella Alfedena (AQ)  \n",
       "1             --                           6 km NE Picinisco (FR)  \n",
       "2             --               Confine Italia-Svizzera (SVIZZERA)  \n",
       "3             --                 Confine Italia-Francia (FRANCIA)  \n",
       "4             --                 Confine Italia-Francia (FRANCIA)  \n",
       "...          ...                                              ...  \n",
       "181772        --                          2 km SW Refrontolo (TV)  \n",
       "181773        --  Costa Siciliana centro-settentrionale (Palermo)  \n",
       "181774        --                                1 km N Preci (PG)  \n",
       "181775        --                              3 km SE Troina (EN)  \n",
       "181776        --                  10 km E Calatafimi-Segesta (TP)  \n",
       "\n",
       "[181777 rows x 13 columns]"
      ]
     },
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     "metadata": {},
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    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import datetime\n",
    "import warnings\n",
    "\n",
    "a=pd.read_csv(r\"C:\\\\Users\\Ogeid99\\Desktop\\cataloguess\\DATA_no_modify.csv\")\n",
    "a"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Magnitude vs Depth log-scale heatplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1.5, 4)"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib as mpl\n",
    "norm = plt.Normalize(0, 5000)\n",
    "#color = cmap(norm(100.))\n",
    "bins = np.logspace(np.log10(1),3,num=40)\n",
    "plt.hist2d(a['Magnitude'],a['Depth/Km'],bins=(43,bins),cmap=plt.cm.RdBu_r,norm=norm)#,norm=mpl.colors.LogNorm())\n",
    "plt.yscale('log')\n",
    "plt.colorbar()\n",
    "plt.ylim(2,200)\n",
    "plt.xlim(1.5,4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,axes=plt.subplots(1,1,figsize=(10,6))\n",
    "sns.scatterplot(a['Magnitude'],a['Depth/Km'],s=15,color='blue')\n",
    "plt.ylim(0.07,1080)\n",
    "plt.yscale('log')\n",
    "plt.gca().invert_yaxis()\n",
    "plt.ylabel('Depth [km] (log scale)',fontsize=17,labelpad=5)\n",
    "plt.xlabel('Magnitude',fontsize=17,labelpad=5)\n",
    "#plt.title('Number of earthquakes greater than 1.5 by depth',fontsize=18,pad=15.0)  \n",
    "plt.tick_params(labelsize=12)\n",
    "plt.savefig(r\"C:\\\\Users\\Ogeid99\\Desktop\\tesi\\photos_thesis\\grafici_finali_jupyter\\magnitude_depth_graph.png\",bbox_inches='tight',dpi=600)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Ogeid99\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  This is separate from the ipykernel package so we can avoid doing imports until\n"
     ]
    },
    {
     "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>#EventID</th>\n",
       "      <th>Time</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Depth/Km</th>\n",
       "      <th>Author</th>\n",
       "      <th>Catalog</th>\n",
       "      <th>Contributor</th>\n",
       "      <th>ContributorID</th>\n",
       "      <th>MagType</th>\n",
       "      <th>Magnitude</th>\n",
       "      <th>MagAuthor</th>\n",
       "      <th>EventLocationName</th>\n",
       "      <th>Boolean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>489</td>\n",
       "      <td>1985-01-06T17:22:58.540000</td>\n",
       "      <td>39.2910</td>\n",
       "      <td>16.7650</td>\n",
       "      <td>5.0</td>\n",
       "      <td>BULLETIN-VAX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Md</td>\n",
       "      <td>3.0</td>\n",
       "      <td>--</td>\n",
       "      <td>2 km N Castelsilano (KR)</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>989</td>\n",
       "      <td>1985-01-10T15:33:47.400000</td>\n",
       "      <td>39.5280</td>\n",
       "      <td>16.6140</td>\n",
       "      <td>26.4</td>\n",
       "      <td>BULLETIN-VAX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Md</td>\n",
       "      <td>2.5</td>\n",
       "      <td>--</td>\n",
       "      <td>6 km S Rossano (CS)</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>1019</td>\n",
       "      <td>1985-01-10T19:29:44.730000</td>\n",
       "      <td>39.6090</td>\n",
       "      <td>16.3710</td>\n",
       "      <td>10.0</td>\n",
       "      <td>BULLETIN-VAX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Md</td>\n",
       "      <td>3.5</td>\n",
       "      <td>--</td>\n",
       "      <td>5 km N San Demetrio Corone (CS)</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>1139</td>\n",
       "      <td>1985-01-12T11:45:09.320000</td>\n",
       "      <td>39.4540</td>\n",
       "      <td>16.6270</td>\n",
       "      <td>22.6</td>\n",
       "      <td>BULLETIN-VAX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Md</td>\n",
       "      <td>2.5</td>\n",
       "      <td>--</td>\n",
       "      <td>2 km E Longobucco (CS)</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>1159</td>\n",
       "      <td>1985-01-12T17:41:12.700000</td>\n",
       "      <td>39.4500</td>\n",
       "      <td>16.3910</td>\n",
       "      <td>13.3</td>\n",
       "      <td>BULLETIN-VAX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Md</td>\n",
       "      <td>3.0</td>\n",
       "      <td>--</td>\n",
       "      <td>4 km S Acri (CS)</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181763</th>\n",
       "      <td>24330631</td>\n",
       "      <td>2020-04-28T22:03:44.300000</td>\n",
       "      <td>39.7482</td>\n",
       "      <td>15.4783</td>\n",
       "      <td>6.7</td>\n",
       "      <td>SURVEY-INGV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ML</td>\n",
       "      <td>2.2</td>\n",
       "      <td>--</td>\n",
       "      <td>Tirreno Meridionale (MARE)</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181766</th>\n",
       "      <td>24330851</td>\n",
       "      <td>2020-04-29T00:24:36.900000</td>\n",
       "      <td>39.0445</td>\n",
       "      <td>16.4623</td>\n",
       "      <td>14.3</td>\n",
       "      <td>SURVEY-INGV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ML</td>\n",
       "      <td>1.7</td>\n",
       "      <td>--</td>\n",
       "      <td>2 km SE Carlopoli (CZ)</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181770</th>\n",
       "      <td>24331661</td>\n",
       "      <td>2020-04-29T04:45:54.770000</td>\n",
       "      <td>38.4832</td>\n",
       "      <td>13.6578</td>\n",
       "      <td>26.8</td>\n",
       "      <td>SURVEY-INGV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ML</td>\n",
       "      <td>2.1</td>\n",
       "      <td>--</td>\n",
       "      <td>Tirreno Meridionale (MARE)</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181771</th>\n",
       "      <td>24332021</td>\n",
       "      <td>2020-04-29T05:43:35.580000</td>\n",
       "      <td>38.3687</td>\n",
       "      <td>14.5945</td>\n",
       "      <td>9.8</td>\n",
       "      <td>SURVEY-INGV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ML</td>\n",
       "      <td>2.3</td>\n",
       "      <td>--</td>\n",
       "      <td>Costa Siciliana nord-orientale (Messina)</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181773</th>\n",
       "      <td>24335541</td>\n",
       "      <td>2020-04-29T14:14:47.970000</td>\n",
       "      <td>38.4090</td>\n",
       "      <td>13.5617</td>\n",
       "      <td>28.2</td>\n",
       "      <td>SURVEY-INGV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ML</td>\n",
       "      <td>2.3</td>\n",
       "      <td>--</td>\n",
       "      <td>Costa Siciliana centro-settentrionale (Palermo)</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>25195 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        #EventID                        Time  Latitude  Longitude  Depth/Km  \\\n",
       "10           489  1985-01-06T17:22:58.540000   39.2910    16.7650       5.0   \n",
       "30           989  1985-01-10T15:33:47.400000   39.5280    16.6140      26.4   \n",
       "32          1019  1985-01-10T19:29:44.730000   39.6090    16.3710      10.0   \n",
       "36          1139  1985-01-12T11:45:09.320000   39.4540    16.6270      22.6   \n",
       "37          1159  1985-01-12T17:41:12.700000   39.4500    16.3910      13.3   \n",
       "...          ...                         ...       ...        ...       ...   \n",
       "181763  24330631  2020-04-28T22:03:44.300000   39.7482    15.4783       6.7   \n",
       "181766  24330851  2020-04-29T00:24:36.900000   39.0445    16.4623      14.3   \n",
       "181770  24331661  2020-04-29T04:45:54.770000   38.4832    13.6578      26.8   \n",
       "181771  24332021  2020-04-29T05:43:35.580000   38.3687    14.5945       9.8   \n",
       "181773  24335541  2020-04-29T14:14:47.970000   38.4090    13.5617      28.2   \n",
       "\n",
       "              Author  Catalog  Contributor  ContributorID MagType  Magnitude  \\\n",
       "10      BULLETIN-VAX      NaN          NaN            NaN      Md        3.0   \n",
       "30      BULLETIN-VAX      NaN          NaN            NaN      Md        2.5   \n",
       "32      BULLETIN-VAX      NaN          NaN            NaN      Md        3.5   \n",
       "36      BULLETIN-VAX      NaN          NaN            NaN      Md        2.5   \n",
       "37      BULLETIN-VAX      NaN          NaN            NaN      Md        3.0   \n",
       "...              ...      ...          ...            ...     ...        ...   \n",
       "181763   SURVEY-INGV      NaN          NaN            NaN      ML        2.2   \n",
       "181766   SURVEY-INGV      NaN          NaN            NaN      ML        1.7   \n",
       "181770   SURVEY-INGV      NaN          NaN            NaN      ML        2.1   \n",
       "181771   SURVEY-INGV      NaN          NaN            NaN      ML        2.3   \n",
       "181773   SURVEY-INGV      NaN          NaN            NaN      ML        2.3   \n",
       "\n",
       "       MagAuthor                                EventLocationName  Boolean  \n",
       "10            --                         2 km N Castelsilano (KR)        1  \n",
       "30            --                              6 km S Rossano (CS)        1  \n",
       "32            --                  5 km N San Demetrio Corone (CS)        1  \n",
       "36            --                           2 km E Longobucco (CS)        1  \n",
       "37            --                                 4 km S Acri (CS)        1  \n",
       "...          ...                                              ...      ...  \n",
       "181763        --                       Tirreno Meridionale (MARE)        1  \n",
       "181766        --                           2 km SE Carlopoli (CZ)        1  \n",
       "181770        --                       Tirreno Meridionale (MARE)        1  \n",
       "181771        --         Costa Siciliana nord-orientale (Messina)        1  \n",
       "181773        --  Costa Siciliana centro-settentrionale (Palermo)        1  \n",
       "\n",
       "[25195 rows x 14 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "condition_a=a[ (a['Depth/Km']>0.1 )&(a['Longitude']<17.01 ) &(a['Longitude']>10.01)&(a['Latitude']<41.01)&(a['Latitude']>38.01) ]\n",
    "condition_a\n",
    "condition_a['Boolean']=[1 for i in range(condition_a['Magnitude'].size)]\n",
    "condition_a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>#EventID</th>\n",
       "      <th>Time</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Depth/Km</th>\n",
       "      <th>Author</th>\n",
       "      <th>Catalog</th>\n",
       "      <th>Contributor</th>\n",
       "      <th>ContributorID</th>\n",
       "      <th>MagType</th>\n",
       "      <th>Magnitude</th>\n",
       "      <th>MagAuthor</th>\n",
       "      <th>EventLocationName</th>\n",
       "      <th>Boolean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>79</td>\n",
       "      <td>1985-01-02T22:57:43.090000</td>\n",
       "      <td>41.7150</td>\n",
       "      <td>13.9410</td>\n",
       "      <td>5.8</td>\n",
       "      <td>BULLETIN-VAX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Md</td>\n",
       "      <td>2.6</td>\n",
       "      <td>--</td>\n",
       "      <td>6 km S Civitella Alfedena (AQ)</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>89</td>\n",
       "      <td>1985-01-03T00:46:16.990000</td>\n",
       "      <td>41.6770</td>\n",
       "      <td>13.9310</td>\n",
       "      <td>6.1</td>\n",
       "      <td>BULLETIN-VAX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Md</td>\n",
       "      <td>2.5</td>\n",
       "      <td>--</td>\n",
       "      <td>6 km NE Picinisco (FR)</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>199</td>\n",
       "      <td>1985-01-04T16:57:40.240000</td>\n",
       "      <td>46.1580</td>\n",
       "      <td>7.1740</td>\n",
       "      <td>10.0</td>\n",
       "      <td>BULLETIN-VAX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>M</td>\n",
       "      <td>3.8</td>\n",
       "      <td>--</td>\n",
       "      <td>Confine Italia-Svizzera (SVIZZERA)</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>229</td>\n",
       "      <td>1985-01-04T23:59:54.820000</td>\n",
       "      <td>45.3380</td>\n",
       "      <td>6.6410</td>\n",
       "      <td>5.0</td>\n",
       "      <td>BULLETIN-VAX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>M</td>\n",
       "      <td>3.7</td>\n",
       "      <td>--</td>\n",
       "      <td>Confine Italia-Francia (FRANCIA)</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>239</td>\n",
       "      <td>1985-01-05T03:47:03.640000</td>\n",
       "      <td>45.4090</td>\n",
       "      <td>6.6270</td>\n",
       "      <td>10.0</td>\n",
       "      <td>BULLETIN-VAX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>M</td>\n",
       "      <td>3.2</td>\n",
       "      <td>--</td>\n",
       "      <td>Confine Italia-Francia (FRANCIA)</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181772</th>\n",
       "      <td>24334191</td>\n",
       "      <td>2020-04-29T11:17:24.170000</td>\n",
       "      <td>45.9167</td>\n",
       "      <td>12.1917</td>\n",
       "      <td>10.1</td>\n",
       "      <td>SURVEY-INGV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ML</td>\n",
       "      <td>1.7</td>\n",
       "      <td>--</td>\n",
       "      <td>2 km SW Refrontolo (TV)</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181773</th>\n",
       "      <td>24335541</td>\n",
       "      <td>2020-04-29T14:14:47.970000</td>\n",
       "      <td>38.4090</td>\n",
       "      <td>13.5617</td>\n",
       "      <td>28.2</td>\n",
       "      <td>SURVEY-INGV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ML</td>\n",
       "      <td>2.3</td>\n",
       "      <td>--</td>\n",
       "      <td>Costa Siciliana centro-settentrionale (Palermo)</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181774</th>\n",
       "      <td>24336421</td>\n",
       "      <td>2020-04-29T16:23:40.010000</td>\n",
       "      <td>42.8882</td>\n",
       "      <td>13.0363</td>\n",
       "      <td>10.0</td>\n",
       "      <td>SURVEY-INGV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ML</td>\n",
       "      <td>1.8</td>\n",
       "      <td>--</td>\n",
       "      <td>1 km N Preci (PG)</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181775</th>\n",
       "      <td>24336481</td>\n",
       "      <td>2020-04-29T16:30:14.850000</td>\n",
       "      <td>37.7683</td>\n",
       "      <td>14.6293</td>\n",
       "      <td>38.0</td>\n",
       "      <td>SURVEY-INGV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ML</td>\n",
       "      <td>2.2</td>\n",
       "      <td>--</td>\n",
       "      <td>3 km SE Troina (EN)</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181776</th>\n",
       "      <td>24337031</td>\n",
       "      <td>2020-04-29T19:21:00.290000</td>\n",
       "      <td>37.8797</td>\n",
       "      <td>12.9638</td>\n",
       "      <td>10.0</td>\n",
       "      <td>SURVEY-INGV</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ML</td>\n",
       "      <td>1.6</td>\n",
       "      <td>--</td>\n",
       "      <td>10 km E Calatafimi-Segesta (TP)</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>181777 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        #EventID                        Time  Latitude  Longitude  Depth/Km  \\\n",
       "0             79  1985-01-02T22:57:43.090000   41.7150    13.9410       5.8   \n",
       "1             89  1985-01-03T00:46:16.990000   41.6770    13.9310       6.1   \n",
       "2            199  1985-01-04T16:57:40.240000   46.1580     7.1740      10.0   \n",
       "3            229  1985-01-04T23:59:54.820000   45.3380     6.6410       5.0   \n",
       "4            239  1985-01-05T03:47:03.640000   45.4090     6.6270      10.0   \n",
       "...          ...                         ...       ...        ...       ...   \n",
       "181772  24334191  2020-04-29T11:17:24.170000   45.9167    12.1917      10.1   \n",
       "181773  24335541  2020-04-29T14:14:47.970000   38.4090    13.5617      28.2   \n",
       "181774  24336421  2020-04-29T16:23:40.010000   42.8882    13.0363      10.0   \n",
       "181775  24336481  2020-04-29T16:30:14.850000   37.7683    14.6293      38.0   \n",
       "181776  24337031  2020-04-29T19:21:00.290000   37.8797    12.9638      10.0   \n",
       "\n",
       "              Author  Catalog  Contributor  ContributorID MagType  Magnitude  \\\n",
       "0       BULLETIN-VAX      NaN          NaN            NaN      Md        2.6   \n",
       "1       BULLETIN-VAX      NaN          NaN            NaN      Md        2.5   \n",
       "2       BULLETIN-VAX      NaN          NaN            NaN       M        3.8   \n",
       "3       BULLETIN-VAX      NaN          NaN            NaN       M        3.7   \n",
       "4       BULLETIN-VAX      NaN          NaN            NaN       M        3.2   \n",
       "...              ...      ...          ...            ...     ...        ...   \n",
       "181772   SURVEY-INGV      NaN          NaN            NaN      ML        1.7   \n",
       "181773   SURVEY-INGV      NaN          NaN            NaN      ML        2.3   \n",
       "181774   SURVEY-INGV      NaN          NaN            NaN      ML        1.8   \n",
       "181775   SURVEY-INGV      NaN          NaN            NaN      ML        2.2   \n",
       "181776   SURVEY-INGV      NaN          NaN            NaN      ML        1.6   \n",
       "\n",
       "       MagAuthor                                EventLocationName Boolean  \n",
       "0             --                   6 km S Civitella Alfedena (AQ)       0  \n",
       "1             --                           6 km NE Picinisco (FR)       0  \n",
       "2             --               Confine Italia-Svizzera (SVIZZERA)       0  \n",
       "3             --                 Confine Italia-Francia (FRANCIA)       0  \n",
       "4             --                 Confine Italia-Francia (FRANCIA)       0  \n",
       "...          ...                                              ...     ...  \n",
       "181772        --                          2 km SW Refrontolo (TV)       0  \n",
       "181773        --  Costa Siciliana centro-settentrionale (Palermo)       1  \n",
       "181774        --                                1 km N Preci (PG)       0  \n",
       "181775        --                              3 km SE Troina (EN)       0  \n",
       "181776        --                  10 km E Calatafimi-Segesta (TP)       0  \n",
       "\n",
       "[181777 rows x 14 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a=pd.concat([a,condition_a['Boolean']],axis=1)\n",
    "a['Boolean']=a['Boolean'].fillna('0')\n",
    "a"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### RED: TIRRENEAN EVENTS\n",
    "#### BLUE: OTHERS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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gZ2bCjjt4xr4PPliZL0Ih2Htv8z3OXpDGq687fPop3PGwiZuH4pwoH7zWzl/+HOWh+xJk5+hr7LpOAC67jLRzxhN/50M8n8EzPunCpEkwc6bi1BNJrVjEn4NccAEAsv/+JIN6u5NlKWdfUKbUaNQwEL/DiFF+Fi6Er74SMnPN3rkHHaTo8UQCDjnEKEa0sC91M5ewcep02k+9AEcXrAB0RIWLL7Z4/33YUGLjeno5zx9QCwFwhw4j6ei9pnNDEUYfnYXXo5h9jsgmN9Cmv0HxGMxyrvhqPMfFnifDbdaKhdM8jjhcrancXOjV22wTCFSXdF43bDTKfbSggJumj+SO2SN55l2D5z7K/PK73ylzyauvWsST+k+RuN6mGBeamixsMa2bbJre+ozE+RfT/PpMIgF98Eo76czb43JWfFzG7HH302LrbT9+f6ejuW3rndMB/JZLY3WMffdV735uVvfv6OmnK/PY8OFGMb79VpmUcnLgpZfMcslefUlMuAPGjSP54COQpf+Q+KNN4HrUn3sd4demEu5o1Mp5HgQCwjXXKDcEk8nQcZQ57K234NVXzcEwPkd4+GFlLv/wQ/P3MBiE889XDv69e3dvJj3mGGVSzM5m8zdUh6EjfIwcqUyaf7ouQSist/kWFnYGmBx0kNms6boq2APU2u3OnLopVmyrrczrJj0dHnlEBTRcc40KjNEhJwduuEGZePfZRwXEmPodPFiZ85ctU/PzSzFkCOy/P2yzjXqGJlNqbi6MGaP6nDDB3HdREUyfrkyzjz0G+fl6ucJCtbYWLIB586D4l9qFfwUMH66emeMoV4DfEpZS8v53sMcee8iCBQt+lbbLyoT58y0KCpTr1y67CFtt1XVjjNS20dCRTjRqEQwKGekuefldPzKRhijxGbNp3GoIQSdJrtVE2tCdtX1XVQk1NeplLiyEnj31G/LypQl22d1PMgkvTYlz3HgftuZLI4sWYZ1/vgqx8vnoePwZgsVdnUXaW1z8zbXYXpKkL0SbP4eCHl3H0tjgkdNWAbEohNJoyuhNbl7XfsvLhdKlzfTr0c7GxgCFgwq0c1hX49LS5nDrrTByJBx+mNBbIxeLeVxwgcVzz6l/e+MNYexY/dxMmiRcdZX6t4kThauv1stVVwvRqIUIOI7Qu7fg83UdS11FjLc/CPDpbIsJN3sUhFvJ6NlVaWho8Ai3bCRR24S/OJ+OrAKys7u2V1HuceFFFu+8Y7HffsKUvwtb9ekq11FSRfCwA2DFCgDcNetxBvTrIudu3Ejz/DU09dqRkJ2gR6gZ3w7bacecqKjGd8dtUFhI7JyLSeujV9BKSoS5cy2iUTjoIKFvX/0cVlQIgaYaLM8lkZFDbnGIUFrXsTSta2DOXPhoXibXnNNEUU+LUO+CLnKNdUncuKuiU23B8wcpLOzad1mpxw6DbCIR9ff6dUK//l3lmhuTtLT5eP119cHu21coLtbINXtEGjqoLesgu8BHetijoJ/+cFRRIdx7r9rAL7wQevUyz83LL1vU1cFFFwm9Dcp124aNeNn5uNE4ruMj22nHX9DVk7OuPMrjjwpvzwgz6fY2dt7FIqNH18NRXR3EYrLZ/ysYtIwRtDVlMSItLqEMh7weDoE0fWjl2jXCC9Ms+vUTxoyxjFHNFRX/N9q7Rw+9XEuL8kkDpdiYlK6OqEtzXQLXs8jKgvRcvabpulBZ2elvZlIY2tpg1ix48UX44x9h0CCzglZernzitt8e+vTRy4BSBuvrldLTs6dZyW1oUPuJ4ygl1+R/1dam/M4cR+0BpmjXn4P6enWoLSzsPjq1vl5F7+bkmJW9/5+QSHT6xOXlde/juiVgWdZCEdlD92+pwIYtiEBAOWu/9VYnM6ZDNOknv2YFHRn5WNUNpPUuQOdcbfl9ZK5dTM6Jh4LPh7tspbFv14XSUvV25+WZFfO+jUtY98VWxOOQV/s9sI9eMDdXeTjHYnDFFcYPVlOrzfhTi1ixwuIPfxDOPFMv19JqMebkPhx4oDqNvfyykKv5oIvAsefkUF2tlJ01a/RjsX02a9cKo0ZZtLVh8rPHsYULLrC56SbVdncOqNtu23k9YIBZ7uuvhN+fb5GRAXvuafHsM572Wecmajj7nUs5vWcfnIkuiVtu17bX1mrRc/ueJJM9GTgQZn6U1CpxnsB776kBfPqptTlNxj/CsT1km22wVqyArCxsv/7rm/ClkfveVPIeewxsG1m12jjm6kg2gRvuw/bZdLTGMfju4yaFww5TCm5drTkAIj9eRejIkVBeTttL75I84ADQfPzDgQRjvr2XI+L1uFXjaOuzP7oQg4xoLf59RygNICuL2GvvAl01AZ8jXHkl3HEHnHgi+P36e/TiLo7jMGaMRVqamlM04SE+H7S7QeYvBTvo47AjzDvd5MkwaZLqa8AA87uycqXFihVqQ5w2zeKaa/RygYBNa1k1Egxh1W4ktuN2mpAiaIql8ec71PUZF2Xw6af68JVwGCorlQKekWF+B+JVtVDaSFNrJsX5SexgENL0WldevsVpp0EgYFbgPA/mz1fjjUZV6hCTEpeV1Y1z/48QTHPI6+ngumamEJRi4ver74KJDQM1H0ceCYce+s+Vo622Mge3bEJDA5xzDrz/fuentpcuug2lJJjm7h/v0aTU/qswsWX/qtz/L/D7zc/r342UErcFsSlHUFaWOjEWdCUMAOiQAFX2QNJtcArzidgOXeM0AZ9D8/Hn4u55KE5BDqQXGiMr585VH0HXVeYY00fE7d2X4gnX42+qo+mOvxnHkgym41uyBKupCS+/gHY7E53hKZGAiRMtGhvB57OIRj10m6LPB3feqRb/gQeaT3WOI7zyikUyqfRHUx4oL+my7bY+evXqpLX1sOjZU/jkE4uePZWSbcIOO8DXXytlL9cUmgrs/juX3r1t2trg0t/HsC39axQN59N6/4vEox7pmRZBx9JG+Ho/5FTblOMs4ekH47dcbrvN4qGHLM46S/DZLrpXuMEpJHbr0/jHf4e13bY4TpHmiAARScf+8wRi+xyOf/sBxII9jBG58xcHOPYEB78fFs63jUpcIGBx//3qPbjySrPG7Fv7PaxfD0DG0w8R3XcEOtWiziqg9vjbyMy2Wb1K2M1kxvJ+oFSys6GhAVv0gjYep53mcOqpP2zghi9gLOln4r0Wkyapd2nePP0pxkt49F75KQcPH4KvvZncSBqgp19+zGp1t+llZysFMxo1KzMAG90CPvzKYtkyuOiifHppck2CYgmKixXzM2yYmTWIxeDxx+HJJ+Hqq+Haa/XvX1MigzMm5PHhdIfevWH+vIT2+xWLwbPPqsjjvn3hyy8V4/SP2JQP79BD1XhnzTKP+aeirk55b5SWwl//at5wq6uVmXLNGqVkn3JK90rflmC3QLFWq384MzU2qr9TSOFfgslZ7v/Xn187OnXhQpFZs0SWLDFHtFVVeXLbbcopcpttzJFqDfWuHH20itTx+0U++sjs5LxqlSdPPaWiiEwOxCIqYGHD8jYpX94sn3ziGQMbSko8WTDfkylTPCkv96TGEJ1aUuJtjkM49liRMsNYyso8Of10JXf++ea5KSvz5N57lY/6uHHmCLnKSk+uv161l5trlotGXfnjHzudUOfONc/Na695kp8vkp8v8sorZrnmxWtl6aK4zPwoLhsXlUoioncULyvzNufTuu9eT2qr9c7VFRWezJolctNNKuLO5FCeKK+SqtUtsn5tUirXtEmiXO+8X1aSlNNPF3n4YZELLjA75ddsdGXsWNmcJ+6bb8xjPv/8Tqf8v//dLPfhh558/rmK9OtuDpPllSLbbScSDIr38QyJtOqDKkpLPDnoIBX5+cQTIjVl+uCQeHWdVKxtl/kzm6R6fUQiG/W50EpL3M1BRT16qPZ1WL/elZ126lw3pgCDRGtU5n/SLMXFInuPcKVqncH7W1SwxCuviLz7rgrYMKG1pE7aJk+T9nselkipwYNe1FrZdH/jxpkjK6uqlAP/zJnqd6MhuLi8vLM92zY7lJeXq/x0m2TXr9N/G2prVZDEJrnvvtO3F4n89MCGujrlcD9zptkxXkTkgw862zv3XHM06dLOGCUZPrz7NrckkkmRxYtFDj9cRfmankkKKYh0H9iQYuK2IBwHgkGhoECZukzuhvF4Zw6mdesUa6GD369MP1dfrRiv7fTuSgBE2pXPiWVBZYXe9AOKJUwk0nGB3r3NZtd4HIbupcZx5pnC3XfrT/nxuGLZhg9XJ8ukgSnxPPj739X1E0/An/6kl0sm4cEHlUll1iyId+jlXFflEgJ1km1s1Dv9OjY0NHSazExzDepZbCrssG6dWa6Uvuy8m3p1/nJ7L64dpB90U4NHaal6Di++ZHHicQbTsK2cfo8/vtO0o0OEENleI/m+ZpJxjyiZ6FzZAwGY9Kc6kg0tnLBvmGSaPo+dhTBihMrDVFfXvSnmmmtg+XLFUI4aZZYrLoYRI9R6nT7dLOeJhTXleSQUwm2LYBns9cmkcMcdFuXlqm9X9JPT4GVT1ehjWRnYOWAHHJ11FsGiokJd19crFlQ7jrQWHvprgPMuDzN6ZJy8DEGX4681EeLW+0JUV0N1tc2KdQGK++vbDIWUTxN0z/aEly3APudkALz2erj5Jr1cWK0VEfVem1iilhbYbTf1nvbtCzNm6HN5+f0qcOCNN1QAhondLiy0ePFFuPFGlYpQ59sKqo+77vQ45VSboUNF66MIyofqwgvh7bfVe7Dbbvp+QcVFnXiiun71VbNTee8fJY0cONA8lqIi2HdfWLRIjeenmGq3BBwHdtlFBa6kpaWqIaTwryOlxG1B+HxCWZnNbbfBaafBkUfq/W38fuWTc/bZKpLUZN5wLPUBPuYYtTnOm2fuu6jY2pwEc+BAc9BxPK4+Ws3N8NFH/9cP7MdwXWX+SEuDZcssXFdvJi3IjLHh/XVYX8xDDhtDY1oROgXSspSp4vnn1bhNiko45LJ0ZgO+ihLcop5EM4rQJQ9OT3N56AGb88632WuoR1GBPsmw5Sa58Q8uoVCIPn1g1wEtgD586qSTVEUyERg/Xn9/ANUbO29+7Tob17K0L1JhdpwjDw/w9UKHO25oIdvvgcYobVmQn9ZGPOEQ8idIalUzcPAIVm3AtsARkG0Ha+WCiTaC900g9PhDMGAAHTM/B43By3GE/fZTz2XwYPXbhJkzlbIXi6k5MkXJzf3cIxJRz//D94X99tM/6MZoiEkvDmH5uhAP3dpAj1gMwl1fBJ/fYv/9lWP3yScLD9yj77cj4TBmjCp39LvfwZtv6jUav0+YNs3iiSeU0uwYXhUnFmHEe7cw54aDCJWsJKv9CKBr1t2wP8FpxyV4770whYWw3TYupgNUeblSZGwbqir1gRIAlpuAHXeEUEiZiQ1IJlWC2u+/V4eoWEwfGRhOUwe8mTPh6quFtKDeDO+66hlfccUPBzJ9IDCBgAomeust9e0ylaDyJWPs3fYpix4IE2ypJc/bGwwpaHfbTY3Dsv6vAvaPqKnpNEvX1prl+vVTh476ehWEYPre9OgBr72mDh05OVvOXPpTsaV92FL430NKiduCiEQsTj5ZRU/NmweHHGKoc+oqR95HHlE+G6Zw9Y6ExeTJ6t8rKlSwoWnzrKxUm1IgoJxlTb40c+YoWYCnnzanOkhPhxdeUKf33XdXyhWajDQZsXp8Q3dX6byHDSP9pbfRBWkEA8LVVwlXXWVjW94PpTy7zk9Osp7AygXKge7II0kffwpoPLBCyVaqStI4/fQQHR02eIYdx7HpWfk19zU9jdViIeNuxKTEZfvauPEG5QSU7ouBQZkaNNhm2TJBBDIzBNM+W+g08PSVG0m4PnL6ZoCjd5LM6dhI8JBRUFtLYr8DiU16DDTejyEvgj3pPnjrLewDDyQ0+Wmgq3NV0IsQ+vg99cfatTgdEW2/XlK44Qa1Ya9erbLCm3yHSkvVwQPg7bfMAQtHHhTjsSHpRKNw7ikRTBUgVlVlctf9Stnx+fJ49llPG7AQj3m0tiq5lSstEp4hFYkoNhFUTUrjIcGKUF8fZsAAm5oaj5AdB03PsaxCwsccRdH55+HtN5p4xukaHk7VQT7EP5OS2UPwJWPkR2xgoD00xyUAACAASURBVLbvmhqLoUMV6zJvntlfsHHHvVl45wIaG4TRo0Xrzwgq7VBJiRp7MGiOCiz0qvnbfTl0JH1kWi3kukmgKztrWXD99UoR7tdPVW8wwXG69xsFoL2d4F9uouf8+ervZcuM4Z+ZmT8tK/+4cbDzzupeuws+ysxUyttPgcl3OYUU/huQUuK2ICxLUeSffQb9+3dDkYvw1VcWt96qZMaN04sFgupU/MknKvfQYD3xAihaflPetOnT1UFeh333VRt1U5MqZ2RCR4eKoFq2TEXaxjocbQkxRDYXqycSwRJ9yGSuV0dhsA5pasLKziaR6IFO2fMloippVEUFzJ2Lddzx2vbaEmncPjHEl1+qvw892Eexxp/c8jysr7+G005VnuJr1mzOydZlzAmHaEUdAji9s40lzpIJ4YADbOrr4f33oLin3iYnHXEK3pgMvXrhvV9D7LpbtHK25VE1dSalFQ79C1rJsfVezhaWqoMDyiZmMAVGA9n47nsQ3xWX4B12OMlwtvZFdwIORxwhzJxpkZ/fPQNy0g8mrJyc7jfPrdIbmfFULZ5AjwJzGa+CHvbmcmmDB5tzkoXCMPEejxkzbe660yOQpn+pfD7h1Vdh6lSLK64QQgED24TDYSPbGDXUTyjoIj49jdQa9TPxk5EMu3Euq0rTGJvM1pZCIxgkuM9eFL/0AtbAgUQHDNcGr4ByDxBRY/7yS5VLUoclG7I5+GilrN51p8d11+vlWls781KOHw8PPaSXE9uh13Wn4Vu2lLZLb6DjhBO1CmlREXzxhbq3ESPU378IWVnqMHbyyaq21BbQlhYs6MwP9+67/zkRgimk8FshpcRtQfh8cM89SvkpLDSbGYJBuP9+5Xuy557dRMjFVNTpyy8rpWvVKnPU6QnHCw89ZOH3wyEHm5kSvx8++EApj92l22hqUjl5QfmvvTBVrzG0OLl4r3xC5qx3aD3jYhKBQq0vkg+Xqo5clq/PZfCOQrGlZ84kFEJ23RWrokJ9oY22GofLLoPFi1Vy0Nx8A+tp+/BGHYB/7BFQVETi1beNm2xaXTkFR+4NIrRNnwt99EUrFy+2qK5W109Ntthnb09bWLbRziN73AlYX31J/LLraZIsdFkM6ihkt6P8VFfDgQcW88LTMX00qZ1O+Lbbse+diPf784n60rU1MFs7gtwz+wBG3/YFS1alcWwiC52bVjRm0aOHxeefq7XQ0GDOazVvXmfGmX1G6mUAWLiQHm++CaEQMmQIXHSRViwU8Jgzx6G2Fnr0EIJWAp3PWXuLsOgbh113hdtut3l4YgwKujJn8bjFAw9Y7Lwz3HCDxfNT9YxdXoGPmnKXtvoYVq6f4l5JdA/PdeGzeQEm3FmMbcNRp+mHGwjAxOd7MHPmFbS8otwFTITSRRdtclEQjhlrEAIam2zt9T/ix+/vpghPHeLZPai/9XEkniBUmEFBkT6XRk2N0rciEaVvvfQSxjxxPwl+v7K7LlmiJmoL5KFYu1Z/nUIK/6tIKXFbEK6r2LCCAuWLYTJpxjosli5VDrpNTcbiBYR+CLtfvFi1vY8hpRtAZrCDjz9OQwTSHL2JCJQiCOr7unatSquhQ49CIRy2iERgr72EsD+Bzten1Uvn+LtG0a/fKFpvhCcf11MqG5N5jBgXpKREBWh8PrNDY9CBOi8f3z2TybipimReD9p8PbRynuWjoUF4+21rMwOpg+dBa++daHlpPmLZZAQLjYWhg++/sdkmF3r3VdhNH32x004qkWdV1Q9spmGfjfqyOOaWUYTDoxgaFS67VK8Ix5M2ngd77AElJRYJ0b+WcQLYR56A/+hjSXoWcQlolbjc9DhnnBfkrr8WcfRRQjCgV+odRxg0yKKlRZEm3eWiOuBAYfsdVFGAnNxutP9evRXdG42qARng81vk5ipn/1AQnKB+zJkZwldfKdP+hD/FCAX1TK/fJ3R0wIMPWpx8suA4BprS7yeY5yc/08NybLRaNUrnePBBldx12DCzr1Q8rgrf19erd7m62uxnmp5uMWUK2LZFoJvAhr32gvvuU21eeKFZrmdPVQlhyRIViGDyrc3Kgqyd8zcn8TXBdTtT7Pj9Zp+4n4VgUJ9X5F/EKaeob5jjKB/WFFL4X0dKiduC8PsVk/H008pEamK60tJUss8//9lixAhz+ZhNvi4PPKBKn3Tno1JfHmPb9BIsv48NZYX0216vxIXDnX5wkyaZ28sORli5IkxDA/TqkcRgdSIQgPvvF2bMgFPGQyBkKC2Fj8MPVw7MCxYos5YOcc/h9Vk9uOeeHhxwAPz5z/rN2LJg7FiLzz6TzT4yOtg2PPKYTU5OMbW1qrJDsWFP8Y4aCxPvAhG8sQYbN5CTnuDRR/3YtkX/rV18lt6ZPRqFiROVabqpyTKWBvMHbaZPV2b4MWPADuhfS9tzmTajgL8+ms3FZ7Ry2un69pJxl/5fTWOy8xkyJ4vEHteiS3wb8Cvr7M03KwVg+XLjkPE8i0cescjIEG7SB0squbx8nJdeAs9DRo025WAm6VrccYewapXFY49ZxOI2Ac2StW3h80/idHRAOCREJKzNV2jZNtNe8Egkf6jYIPr11dqq/Ptee83m0EPVgcJEENk2jB6tDmMm5SccVqz6Rx+pd7Q7U/N996mcZQCPPgo/VJfrgro69Tzy89UBzmTmzgnHOWTXJg7ZsQP8YXT+kZsQjyuGLSvLPJbMTKUQbnID+XdFav4c9OihlGv49wchpJDCfyRMuUf+f/35tfPELV4sUlYm8u233eRMK03KsGGd+YlWr9bLNTWpPF6b5KZPN+eWSrz+1mbBxGdzjXKlpeoe58xR18Y8cRs8+duDCXnonojMny/SuNGQC63Uk2++UeOdNUukdL0+IVNZmSeTJnkycKDIo4+q3HM6rF//f3NQmeamrjYp90105ZprRE4/XaS8TF+EPhZJymWXdbb38cfmOZz1cYcsm1kpy2ZWyicfm4vBu+UV0vDRV1Iz/Rvx1qyVaFQ/h2Vlnowb58nWW4vMmOFJ7Ub9PZaUeLLDDqrQ9ahR5hxiFaUJcZzOsZRt0M91+7oqVTn6B8H4yjVaufrqmBx0UGd7X31pnpsLL+zME/f8VLNcyQZXSudXSfmCKlm/Vj9eEZFPP0lubu/oo9Va18EtqxDvvPNEdthBvBkzpKOxXStXUSHy7LMi++0nMn26KratQ2lp59RkZJgLlFdWiuy7r8hJJ4nssovI99/r5To6RC69tHNuln2nH4eIyl1m2yrn4/z5RjH5+987n8kFF5jlpKxMJD1dCd5+u0hM/442NIjcd5/I6NGq36ThsdTWqns8+WT1Ljc0dNN3Cimk8G8D3eSJ64ZcT+HnYlPR7Mcfh/Z2sAyzK1ibLQzBoPlE6fcpZgbUKdlkpgFUoqNN7S/91ihWXq58XyorNyfM1yIz2cDptRO55ItT6W9vwLUNpK14LF4Md9+txhIO6G0wnqcy+K9aBRdfbC4Z5fN1Mo4772z285FoB6+8ZjNxoso/11hnYOwci8svE26+WbEf2w8058YbHN5A+UY/ZdV+dgpvMMrxzTfkHrIXhQfvinXTjTiGouwq2s/i/fcVK+cZBu048Le/qWLT99xjdgN0cdhvP3X/Q4eKMXImHsig4/eXAOANH4EX1gcXiOPnttsUM3v22RgZSuhkb30+GKh3FQSgucXi6feKefjVYlrazJ+Xfn29zdGUo0fECGII5mhtxnrySVi5EuvKK3Ga6rVy8bh67wYOVMxiLKbv17I6zYSbanXqEA6rdbXLLipgwGSqTMaSNDZ0rqn2lu5TgsybpyLEu8tXuO++qhj7nnvCZZeZ5aiuVh8aUDSuYdANDapqwqxZyhy5caO+uUhEWQWmTVMlprq7xxRSSOE/Aylz6hZER0xFi5WUwL33bq4/3gWZGcKD97uccZryrQoGLXQ+Sx1xlUdo7ly1X2/cqKJedZDfn4+s+A4JhWCs2WvaslS0KSjzzkiDk3pWSwXObTcAkN/eTsdz00BTlCknFGW/UekMHw7p6UJayFDuyFa+Pl99pXz7TJtnwE5y441+Lr9cKa4mf66MtCQP3NHGmRdnMHTXOEWFgm45Ow4UeBu5+CQflnhk+hxMZqdcmjj4L8oOnnjsSUCfXdkasI3StOJxZO+9jbVJI+3KlPrttzB4sEU8oVdqXFcp69GoSgL9/vv6Mdu2CjK5+WZwXQvL0iukUStMwyFn0/P4k4gk/CQDBVq/QtuxefttYexYi9pajOZegJ129Jg3T5Xdyss2J5NevBhuuUVdZ2QoRVyHosh6Vs/OIBK1yW9Zh9+nz/AqGZlYvXpBZSVywIHEg+nawJlAQCUkfv11lQrFVK6td28V2Dt1qsq/aIrAbGlRtS1nzlRraM0avZzPdrn7+iZ6FmSyY/8o/XuALhcgqADNxx5TCuHpBlM4KN/EyZOV0tdtzcx+/ZRNdvFi5XOhSxKHOiQWFCgzbXcR7ratTLhVVd2bkFNIIYX/HKSUuC0Iy+4sem/b5o+gROP0+ngaW939VyguJj71ZXR5m9L8Lu3tFnvvrZzAN6Vb0qGWAnx3P4MnNlgBo/N+TWVn6oWSDWZWysrNVl//RAJv4PZGJq4hls4551o0NKhN8cwzw/TVbDxpvg5eeSVIe7tFOCykOR3ogi9sW22gM2aopK0DDVUqmhPpFOS08sHUOvxhP7GInr5yYy5ZN1+l6AXAfe0NGKdXcqNb70Daux8AEAtkaYuJA0h7BGvePMV8NDUhHQnwdVVqwunwzjtCaanFLrsI4XRD/U2vM1dgPK4UNB1ywjG22y5EU6OQkwvZ6XF0EZ25eTaul01FLIdgupCdple6cnPhoossXn9dHT6ys80BC32KE7THBMdnkRZMatsDyM/tVEAL8s1R0m3BfIq+eBN71Upaz72SGCFtkEZzqIj0z7/CjrUTC2ThC+q1MxEVKJRMqhQ7S5box2FZiq2bMME4VEAt/U31LLurvhLICJKf18KtB3wOBflImuGUhWL3zjxTrfHukrzGYsrPrq5O+dAZdDOlmd1zj/oP3UR+pqWpNEV1dUrMlI+td2+VYmThQhWT0l3KmZ+KWExVU9lCwakppJDCPyClxG1BpKXBxx8meeM1j4MPtQn5BV0VgUyrFfvBB1SY1apVOG3N6JQ4TyA/T5gzx1IeMkl97iuAoo1LsEKqfovUt0FvfWTg0N3i3HSTzcaNFtdemdDeH6BCZhctgspK7MJCLNeQEkTg1luV6PDh1g9F2btu8Dm0kIz48WIQtCEnoI+gbY85nHKKIhmeeALefluvBOTRSEmtj2tuK2D7AXHuuCWhlbP8Du3Hn0n6yy9DdjbJnXY1qB/w6kfpnH2O8uZ+8gmPc0159Ip7wkvTVC67y69ADGbNPLuJSy7MpL7BoldhgrAjoOGRAgH4+GOV9+qss9Rmr0Nzm5+9hlmMHKnMcl/MccjQkD7xODz0oHD3PRaDBll8PN3WOqk3N8Nddylm9ttvlSO7IRcrvvQQ4YA6pPgNzCPA0IK1TH8+m0jUYu8dmzCxmS2+fC6eeQ62DWOXwJGGJNa57RXUzllOsk9/Mr9+ndDZJ6ALKbVtpezU1yt27ZeWMSouVmzdU0+p4IbuFJBAr0Lasg7E54M0AwMISjnaf381hwsWwJAherlZsxRLDkrRvv/+bm40I+Ofpv3PyVEHo/Z2xfyblDjLUvkot9YmxPv5SCRUabzx4xUL+eyz5oj9FFJI4V9DSonbgsiMbCRUXsaFJ/YhWdtAKJmLrtxRq6Tjv/AaMi45C2/PoSTTs7WKRSARZe8+jcz4Ip1+fT0KsqOgTzmKnZODddddEAgg11xjvMfqhhCrV9uEwzDjUz+nGsw6VloQ/vxHKCtD7rgDu5+e6bJQSkA0qsyk0wz55GzxKOoogzWrYOBAvAx9AqqMdI/xJ1vc8EeLMWOEsKFEkG15/K7sbV45LZtQQxVZ9hGg4XIcG+ZZI9j20w3Ekw64hZriSQrhdJt77lGbWUammZVqCRWQeerpWEBLIkC6gXJtSGQyeGcfra1w2aUWt13XRii7qxLnuhbFxXDqqUoZSSYNEb6Ww+fvtVAQbqc+GgZHHz7Y2hDnlVfV81qxAmIRPROXlgb3XFtD4r3pjB68LV7RjqBP6ayttalDbqGPkVIOjkMg3ZxHIyMDrryys22T4kp2NoUt6+C+R5XjpSFhbFGRUpIWLlQpQbpTFiIRpdSkp3dfJSAcVr6C4bDZJ+7H4/ln+OADxerF40oJNylxP87IYXKf+DmorVWsdlsbHHKIStdiNNOWl8PSpeo//MJMuo2N8Oc/K8X6gw+UL25KiUshhS2LlNfDFkTcl4bV1kLaxNtxvllEXPSKT0TCvOsby4qPy/jksreos/Vfto5AOgUFwsl1DzGs5EWy8rqJqZ8yRTnSPPqoyndgwJp1FtOmKdGvF+h98QDlGPPyy/DFF1i33ooT03s5J91Of+qGBki6hrJIblJFLBx/vLK7Gpz8vYTL+PEe69d6PPyQB7b+/prsXFZvOwZ3x51o3u8oan16Ckm8JAN2TufzdVtREu9JusGkCcp5v7xcpaAYMcIoRnZrJc6g7bF7FZO9aDaWrad9mlodWlvV9fwFNhFPXxcpYCeIxTx8jovnCWm+Dn2/NNPrrb+RNXwnek29m1watXIZTpSJN7VQVARnjo+TGdIHDXhtEVpLGlnR6wDqMvsby3P9HHjBNPyPP0Lw3ruQTHOOijWrPRYuVME1U6Z0+ud3QW4uG4+9iPKH36Spp7kIpm0rBmncuO51j7Y2tayHDVPpXxr1U0hLiypB1b+/yqVoCgb4ObjwQmWmHDlSBQ6Y0KuXMn++9RYceOAv7zeR6AxSKCvrLLDSBdXV6iUYMwb22+8XD9q24bjj1HX//v+ZKUtSSOG/HSkmbgsiZCewd+hPcsNggnvvjvj1Tv7ptDF6jza+WwbbDhRyrQZ0zvaO5VHh9EHOuhERCNiO0deN7X/EL3UTxjpkiKpq1dCwKU+VgfUp7oVTWAi1tcSPGgd+vZ0oFBRee03Va738csjK9tCdDVzPxt60KVRVqb817cUTFo8+kGCfnZtYvCrMqb/XUyCRmI+ySD7V/nxyciC9Weihia70XIsbb7RYsEBtZI884LFVX70iV1+vzLgiUF9nrlPLt0s37/7WtBfggAPB11VBy8oUrr/eYt485Xce9CfRmq9F+OQTi5dftpkwQeibn0Tn6xaSKP4JfwLPIzjxDuxL9NUQnKCP0Xs08M20ChxbSLeL0Jlxk2Iz8fX+3D0pQCAAq5YntX5pPwfuO+8Reu5pdb3NdnCn3vmsT2+PMUfYNDXBs4/HCPl96D5HFRVw6aU2c+aooICDDvppNTZNaG2FSy5RSuOECXDuufoaoG1tyuQJ6lFviUjNrbdW78mmAAITevdWgRmet2UUn5wc5RL6xhsq6MTIhnlep+JWWWk8aP1UZGQonXD2bOXzaartmkIKKfzrSDFxWxAST+CMOQzfpRfhDN8L4no/snTaKYiVs9/vmuiT00owrt8hXM9i5fc22+3gY/SBPuKmEzQQ3304iTlfkfh6ER29tzHK2bYyD229tTKzgP5DXZYoon3eElqXrqf5iNNo9fTbe7bdwlFFX/L48GcYFN5gLD8RCeSSePcjOO44Eu9/TFtQb5/LdKLcsMv7HDZhBFe03ka+3aCVS0vz+PhjxVSMHm02d9l+m/POE8rKlC/S7/YwO0stWqRMfFdd1bmBa7HTTorK6dsXLrkE2zGwmZZFR4dSPGbMEDxHz8y2x/1ceaXFF1/AaadZ1LXrdzsRC/foYwBwDzwYMTCAGfFGsvN89Ag0UbBNFuGQIYrVC7F0hbqneBxqG7r5HNTXq/IAX35ppq8AZ8cflQAxhaYCPZtXsuzddWyYW87YjJk4rn5xt7Qo5aO2VkXlNjWZb7G6WpUGq6kxywQCqgoKqMTTphQ2gYBKhj1yJFx3nVnu56Kw8J87+IdCSpHr06eboIafgexsVd1gyhRVFN5Ybi83V7H4xx+vokO6DY395wiF1KFx660Vm/mLSnilkEIKWqSYuC0IEZTDDahd0RDSlrBDBF9+CWfSvVBURHL+Iq2c69o8/LBSBNatgxXLzezQm4v68sKL/Ukm4aorXA7YUS/XJ7iRu69wwXXp8Hxg4PYSrkPm9j0RgVNPFR66L45uuYRizTgjVb1RBg8m/N50oKs9qy0R5Li79+N3g4az+C9Bnn3a1SQsgbDbiu/6i6G6mrSHJ+JdcSFoKokm4x6xqMXU++tZV5lGS3MY+nTdnRIJi+XLLb7+WvntrVun2DYdHLszmtK2zZGVJJOKwsnIQKqqEMtgTm3qrIoxfLjFCcdb2uQmfj+cd7ZL38II9dF0HEfPZvqtBN6ddyJ3/xVE8Nt6pjduB/BdfAHOm29AXh7u4qVan8u0NMUQXnWV0reKirtR4qZM6XRimzMH9t5bKyZZ2bjfrVDpV7o5I/qKC+n11FPKae+OO4w0TWamqqqwerUyzZlYuOpqpXCtXassga+8onefy89XOfnuvlsdZkysVGYm9C9qZ8pj4LpCevpPcHr7dyMSUYxZWZk6WPwTLcmUf3Az0tLUiWjEiC2mtebk/HR/yhRSSOHnI6XEbUmEQnS89zHWU0/hHns8ni9NP8EdHSTsEDUvfkqobDUZEb0vkmMlOfvsAB98oE7mAweaux6zVy0n7NoEtk2rk40u2hXAH2nB2X1XiEax33kXq/+hWrkf66BtbRZxT79UPMvBSUtTG0peHp4h9tMT+OYbmDEjSHExeGIw44bSkD/8ActxoLER0dViArLS4tx/9mr8559DYo9heLm3oFP2LEs44giVt693bzi5m3qLR+xawbOT0vHE4sg92oGttHKSlo61337KNpebi4ujHXVOjkrWunAh3H23YNIDCgPNPDb6PewXnse9+VYi4SHoXk3XH8J55B6shx7CPvNMvNvv1PbrdiQJrPihhlZDAxLT+8SFQkrRvOQSlc+u2zJGlZWd1z/Ul9UiNxfn7NMgHsd7dqpZrr2dxh2GEx96JIWfzsY++UTtDWy1lcrVlkio+zUpBMlkZ0H0RYu68ftCKW7/zME+6EXZ+qtXsM49Bxk2DOv11zG9U78ZamoUtZZMKl+GO+/cMjbLLUU7ppBCCr86UkrcFoQvGaXBl0f7xbcT8iIUoc+emszM5ovRN3PWeX722XskD57kabeHgB92GeIye7YDImRlGHyqgPTvv8EaMwYch8zZs2GAfsOxv1kIBxwAaWlYH7yPHHaolm/y+eDJJ2HZMpWY1DKwipFADtbsb4h/tYi0Q0Zhh/WbSDiY5P33A8yYAQcdJISDSaArNRBJBkjfYSf8f7oO97gT6LCD+hrlbe34L78YFi3Cv2gRiQsvhN4aJsKy+OtfhenTLdrbYdddoY+BzcypWsEZr98OlkVyu+vhd3olrszrST41WJnpNMWzKDQQdomEcmZvaYFQyKIjpp9Dp70F+7RT1fXSpfjnzIeCrg5+tpvAeuQRNaxnn8W6Ve9vFgvnk3xyGpm3XUfrQWOx07K1L7rPp1wpW1qUic2UXgQgefW1NI0ah+23ydx5gDGH3vyK3vR49GNEoKzE4QCDe2aNXczvn92a1escXn5qawa7rlaJq65WUbuRiDIJXnihPpI1M1Ot18mTldn1F7M/ra14n31Ow8RnCZeuJL2lxZwZ+LdCU1Nn+YnVq7dQxfoUUkjhvwkpJW4LooYe3HSfzVOTbfbZJ8iLz2dpDIvQ3ipc+0e/CgB91WHCBP0ZXwTyMzoI2haBgE2GtGEscv3ZZ+o/JJPw5VeddZL+AfUjj2bqhqOpqXe4/FLRcFcKmZmKrejZE3w+Ic2Q6iPdbSZSUABHHo0TqYF2oLCrN3ZeshbXTnLqsYWEmqvJSwaBrtlE0+It+M89E6qqcBYvJnDSydoxSzgdd9RonHnzIDcXu0Dvv+OXJGed6WPYMIsePaBvb3OuvUXOnmx966MgQkmyN0MNc+P3war6IpqbLbbbTvDhojN/BoOw/usaehW5LP0uk/0PD2nlLL9PTXZNDbLddtrEwQA2gpx3HtbjjyMnnYRtiNwNEqdtuyHEH38FQiEsW7QBC66ryJx165QC5/eb9ZTv6/K56O4CcnPhvnsFk9el3w877uTguvDeewYhYPm6IG+9q8Z5w53ZTJumSxCjIp9vvlkVJdh3X6XM6ZS47Gw47TQV+JyV9cuLo7sZ2Sw8+xEuuirEAft08Icw6JOb/Ibo00fZhefPV0l/f0nEx6+EhgblQhkOq7WVqgKRQgpbFiklbgsi4Tq8+JLaWD//3CKWMDieh5KcODbG0qUhFXqfoc/jZSXjpP/hEjKeew6A5JwvoEivxMkFF2LNmQPBIHLccSZvLr5eHOTKP6q+kpbHXX/Vy7lJFUm3eDE89phFwpA6BIGsKX+D7bfHXb6S+FkX6OVsmx7BFnj/dTjoIMTRJwaz0wLILbdg9e4N5eVYBtNOeyJA9IwrST/xdLxwBm12D60i7Nk2H34EN96o/l64wLyL5PXLonGjssPlbWUOCyyObSDju8V42XlkLYlgH3yQVq7QqsPp1UjCCrL/jm0EpRjoutE2+/NIn7cQe91a3G0HEnGyNGmQwXN8xK78E94Vf8K2LYI+v9ac2uqmUV7l47PPstl9d+jf30On4ra0wFNPqqTAwSAsX24cMo88oqIMQfmmbTNAL7dooWzOczd7tnDYYfqVOGAbpWy1tMDRh8cJBRy074ClAhESCfV7yhTzPQaDW84SWN8W5LxLVcq0hQuDnHfxf6ASl5+vHBo32Zr/wxCJwIMPqmTghYWqikbPburzppBCCj8fqXPRFoRje9xwg9qczj5bMTY6hBKtXLDdTDbMLmXeE99RnKzQynm2j2R25/brpZtP2t6XX9ExeQqxR57CQ5xxgQAAIABJREFUW6APlADI/pGZyZA3FYCajcLjj6tap1dfjUoIp0HMl8Hi/a/kwVWHUHXqtZBtcPxKJpUZ96qrOndlDSTpYnkenHwyzJ2LJfro2XjS4cgz80nfdSAZA3tRVaNXmEVsyss7FYn6WnPahLy0CNnpLlnpLnkhc840q7mJrIG9yLFbsYuLOusz/QPqE1mMPHt7+u7bj1fn9sIv+jGHOlrhlVcIzPyA5NyvcZL69moSObwxI4OyKh9vzwxTE9eFhoCbFK68Uj23Qw8FDP6HFh6j9rNYtkz57XXEzMXb99lH/fb5lA+9CUcfHGX//RURfOHp5jksqlvGig9LWD+3kmOzZ+Ak9LnxoHOptLSY+93SSEvrjN0oLOwmGfFvDcf5j1TgQAUSffihuq6t7TaoOYUUUvgXkWLitiB8boJg0GHqVOVk7aD3YXPtAHnb5pN312UwfDjegBO1zJknFta11xPdYzhWv61x84s1XmQ/4He7EjxkNASDJD+YbrzHQbnVzJ5VRH0DjNyxEdtgni0qEjIzle/+qL0TRvNUUzydvUb7iMfh+bfhrZeipGnSIggW1qaMrq2txjwHTrJDJbNqbYUpU7BuukkrFw4LZ5whfPmlxTbbdKOQWsItf0xgeQ59eyXZdQiYln2oo5WcP5+HLR7tDz2FjjUDlE3oB3O1TJiAt8suWkasodm32dn+mZfSGXeiT1u8Pc2KYe/QHz78nsxtCkk6MXSVEzJpY9zKu0i77D62Of083CNuR8cPWchmhSceB/H0kbZhf5z8/CAnnmgxaBBMmmQ+06WlqSoDfj+0NJsjd3su+ZBXDm/G8wco+KwVBumZ2Xh+MUVvvYgTi9B80DgihLW+j7m5yiz70UdK/+/u4CGiFIctoXBlZioG6bLLlKn2P80d7r8BOTmKiTvrLJWRJ5ViJIUUtjxSStwWRHaWy+knx6mpchm6m4/sQDvQ1cM65oRJtnpk7LorSV+AhBPWbu5BK47dWIPUlYMdRwoyMfnELW0fwODPvkSwWNPSAxNZkhvuYJ/rR4LrIvffD5a+NIFjuaxYJrS1QnrQQwz53wTlW2VZPxBSBqeXJief4JyFpH2/hMig3elwCrQjSYYysMePx5o0CYYORYIhrbpgxTo4+lCLQ1f7cBwhE73i47gJiu+6iof79cVuqIMvhsNxx+rH/PIL2B+8D4Bv2lS48TqtHFVVnfexYQN2IqEoqn9ATp7NgQcK8+db3HyTp3zfdGMRT+XmSiZhxgx8n3yilQtZcZy/3aeS/T77OO6tf9bKpWUFmDxZePJJi9GjwWdQwBvbA/zpTxbffafyq11xhbno+Z57Wlx8sbLg3XmnWdnr2HMEacunYtW3E7/wfOOhwx+wkf/H3nWHWVVd33VencoUptAR6RIQFAtqBEUlKlaMYon6syZ2DXaxRDQoQbErVhRFJRS7REVBRFSQJiAgCMgwvZfX7/n9sXh5I7n7gs7IDHjW983HG+Zw27vMXW/ttdcurwDWrYH/jHPhFcqgbdoAJ5zALyfU13MUcV0diV6PHk33xeXm7jrxCIUoitncBr9buN3M4ps7lx8CzMQGA4Pmh/mV04zwwELbqg3Ieflp6DNHI9y9j+065VKo7zEQhUndoHxeZLhSbUmcy+2GnjgR6qWXAAB64SJx3zm5Cg9OyUdSEnDmmQ4H+eWXrJECwIsvUlGyUcXyfZVwFRQAlgWdlI1osn0mQ7a3Fj+sbYPySoW87Ciy3DWwi/pwWVH4irfC9cbr8F+Zj2iOfSukCgSh/vAHNmqUl8Oy7NPGMjx1sL5eg0BuD/hVEGmdfLAjcZbHh/IxD+C9T/zoMEBjcP+wrT8MADyHH/Lfa+H5o31jCADWE8eOBQoKoG+9DUp4cvtdIUya5EcwqNG+PZCdFABgU25WimauaBRIT4fW2pa4hpUf4alvoyE1F8k1xUhyJ9kqgKEQcPPNCvn5zKk79FB70pWZHMGIET588olCZibQuZOssHXsSD+a2+2sdL38fi7e/WYMvF6g7zMW7h1nv863eR3UuHsAAEmWBbz8cpPiMSorOXHuzTeBG2+k+tPE0Z+7jK1bgTFjgP32A664wlkt/L3B42leFbO0FHjhBf6Xuegic60NDIwnrhnhqa2E67hjoR59FK6jhyEpZG/iSYnWIb9iDXoULkAPz2ZkR+wj5iNRdsnFEUuSn56ffKzRv10puqWXYekSh3E5Q4awqy09Hbj4YtjTBUAFg8CoUcDBB0N9/DFc4aDtumorHX8c5sbgg1y4/U436uwDQZChq+C98XrA54P3+quRYdkbZNxeF/SbbwJDhzJPQtnfog1WEiYvOwTd/9gRA0/vjmIlkEJtYeIzqfi/y3wYcZIf6wrka1iS3x81y39EzfKNKM4XppMDUD4fn9bjxlFFEySfUNSDZ59V+PprhaeeBIJh4b+bz8dJCM8+C8yYAe2zl6XKdTYe33A89rvgYIxfeSLKtP0TLC+PjQhak1xIcRt+r4X/G74Z69ZEsXJxCO29Dvlv4C2zs1LlQYe48f77wMyZwFFHS+01gMrLS6i2vXs3WcKKRHj5qqsZlxaT7X3NikCAGchvvMEu2nXrds9+9xRUVHA+bmGhmH3+i/Dvf3Om7c038x4zMPi9wyhxzQmlODAQoNlY8H15vYD+5z+hZswAkpLgWrvWdl0MblRcchtSh5+MWFYOYqkdxUiQ844phDcSBJRCxBuDNIkBa9Ywst7vB77+GurQQ+3XFRUBmzbx9bRpcAsTu4Mhha1bubnPv3AjFBVqWG43MGkSZyg9/ji/t0GNOwPpTz4Dz/rvYXXrjqAnzU67QoPlxzsfkeyUlAAVlS50sMt/00CgPjEBIVQXgV0XJABkrPgcFZ33B+BC9pbPgb4n259LOMzW3aQkjhPo2dN2WRurCg8N+wJY8DliV16DGnS0PZdYDHDfdhtUURH0pk0IX3OjbXeq1sCdd7lgWcADD7rwN/vRqVCKvGjKlJ2UFJOTUZ3eGddd58aggS5cd03bJndg9u7Nh7ZlAVlZMolD+/bA999zVmefPk2ufaamUoGuqeHmpDFszY141h5ATrqzEOHfEwIB/qoZO5YRNt9+2/Tu1MYl2eYYSWZgsKfDkLjmhNvNJ+e8eRxdI4UiBYNQW7cmXofsO/OSkhTyciyoT1YA3bsj2l1OY/VsWMchnW43PAsXAp0FZap/fypsFRVQb71FZmBDNlWnTjyH777jR18huyE7JYCq1dWIFJbD1ykXPq8Ptr69WAw45RSal6ZO5XZtkBapgmfpYqB9e7g2/4ik3skA/ve3tcvrwcQJFi68yIWDD7LEMY9uxHD7DRHkZwCd2kXxhz7yLZ88ZCA6lZQAWkMfNkhcB8ui076ggO93OGw70ygtUgl12qk83hUrkPHSy7Aj1+5wEOqddwDQY5d05ZW25+z1anz6KQAoKKXh82o4iek740U1NcBV17jx4YfA+++7cPooIKeJpS+fj7e9y7WTMU+pqY4E+JciLyuC125fC7zzDnDWWXBndYM4Nq0Z4fXSSzhiBImKU2Byi6GujsOA33sPuPJKee5cM6OhgW8HwM+ElZVNJ3F/+hPw9tv8lSVEYRoY/K5gSFxzIhZjXSUriw/3eDjZjvD5WPu57z4OfJQiAhoa4Ln3buCZZwAA7m++ATrZf9RXH3zA/cdiUJ99Bhx4oP02ly4F/vpX1sXeeYdGHju43cDrr/O3ZTAoqooZsUqoow8GioqYT/fQQ7AlcUrxPDp3BjZvtt8nAK+KQb/9NtTLLwN9+8I9Z47tuhR3CHlZwGcfuuBxW7A8gjPe40Hewum47eyBPI8iC+gixPiuWcOnMQB88AGP1QZ62TKoWbP4zT/+QZOOHdxushnLAlJS4IZ9PSnkTYPrz+fA9+4s1N8wFlql2yp2nmgI/7zfhw/nKBx2GDDrjQiAXx+M5vMB++/PGAifr3n8RRs2AAcfTF67YAGN7U1GRQWNfllZ8v+V0lK4hxxC5vDsMyxP7yZGlZOTiGBplaioYLyPZXGG2Ycf7hbJMDOT4vv55zdfd2rbtoBQFDAw+F3CeOKaEz4fcMEFJClnny1LIdEocNtt/I00Zw4/Kdvhl5SYLr+cT8whQ5jGKmHAALrU8/I47FpCMMgn8ltv8bykkT7hMHMYpk+H6tYN2mn0z6xZ9LoJxAwALEtD/Wd7RMqaNWIGW4o3in1dW9C+eBlyClciT5Xab9Dthj76aOhZs6BXroQlzdwCWO+JY8kSeV2vXv8lE3rYMMRc9uVZpKRAL1oETJ4M/cQTUG3sI0uqvTmoGfcYqpduQMXJF6DBZZ+1F9FufPQx/8suXKgQsYT9grdUYSFQXi6fRlISPXPffMOpTc3xXP/kE/rSAgF+ntkZduqTKinhh46BA7lxQbUGIH7Q+N3D5Ur8LklJ2W1jE9xuYPBgkvnHHzcRIwYGvwWMEtecCAaB44/n0/Pll51dzmPGJHI5pN77SITkrEMHoGtX5zj6cJjdpvF/J8HlAi65hHMXP/1U/oUeDgNHH82n7JdfcoK8Hfx+epsmTQImTYJOS7MvYlkWMGMGX7/2Gt3nwvb0ww9D3Xory6/SOdfVQc2dC1x1FVSvXsB/hGy8WAzV7iwk/eUSQLkQcqXbFCq3Y/RoGroADuyUkJZGRTMYhMrIEIt2VtSCOxRi6bC+HuGkdPhs+FksBgwcmo2iIuCYYzSmTbPfXrInjMcmKTw40YO/XR5FsicMu//CDQ00gF9xBXDcccDkyTJBy8lp3g6/E07grRoMskNUQnk5j3HVKuDWWx3KbNXVwPTpfH3LLSRydieTm0v1bXs51QS7NUJODsupCxcCI0fu1pZOp1FuBgYGTYchcc0Jt5sln8JCPugF8z7cbs7zueYaoH9/muTt4PXSSDJ4MKUVJydvUhIJ2c7CqhYsoJcLYHnzwAPtiVwkApx6Kh+Y0ahM9gIBElYAuPVWqCFDbD9yK6XYbfrccyRewuGpUBBq/nwmra5ZQzZgB62ZeaE1sHYtdEUFVJf/VdliFtBmyyq4jv8T0K4dfO9/CAgdtJXePHx31uPQGujvjohRJIjFeE2CQSApSezwdYWCVB4tC+rUU6EeexJ2MSjRUBRFRXzPVq9WiDREYBcSnRqrxfm9l+G0OX9A2ta1SLI6255LTQ2rvIEAhdSJE3ef4b5rV3IpwHmfGzdSYANI6J5/XqiUpqcz9O2HH0iypY4Fr5cK6V//yg9FRpVLICmJsThOozYMDAz2SJhyanPC7wfefZd+uC+/dHZ2P/cc/1y5ktMJ7GBZJG4338xmAKfa05o1bMvr3ftnYbT/gyFD2Nhw6qlU5CSkp9PoU1/P0q9EDJOSgH79+HrUKLkErDXQpQsJq9SFAPDh278/r2WHDuI1jCgv8NBDVBPff19kDCoWgevhh0iGV62CWvy1uOt5i5IwdLgXw47xYu6XDqOMqqtJ1rt0gS4qglv6X2TF+B4CQF0dXMLCDG8DXnykGsceC8x4tgI5Sfb3gzfVj5QF/0G7QR2Q+s40eJLtr01aWkIFO+CARMN0kxGNJs7HAXGDv1PVrvExOQ5Gb9cO+Pxzdkr/7W8yiaupAaZNo3r76acy+TcwMDDYi2CUuOZEMMiOzvx8YMsW2VdlWVThrriCjl8pfCsaBcaNw38j9a++mlKHHRYvBq66iirRkiXOrVsnnMDUTKeySkUF5xwBCanEDkoBTz/NcygslL1zLhdDhm+9lYqK8NS2PF640tKgrrsO+vTTSQxtEPP44dmyBeq88+jze/ttcb/61luhrrySYbJt7SdeAMC2bYkokm1bE6//55SzstiBXFAAdcYZMgNJSYGeNYvq5xVXkBjbIMNVh3M7fI3TT61DWmpXuNxCs0koBDVuHJW9SZNYkrdBWhpw1ZUaF55vwedXyM9vhs9qRUWJSebXXNPkklzHjrxlN2/mZwXHTtZdaVCoqSFz1Zqe0DVrzLR1AwODvR6GxDUnUlJI4mbOpJokkTOXi0rTe+8xJ0tSufx+4MQTgdmzE2UlCZddRuKotXOEwOrVwMUX83VFhexNa9OGpdlYjAqak8K2fj3w8cfAlVcyCFfCnXcCEyZQyRJURRUOQ910Ez1vTz0Fff31tuuSInX04UWjwLffQpeVQ9nMjHIpRfJ46aVkCsuWiYf356MrsPWGDGgNjD6uGoBQD9y8GTj3XL7etg0YP97Wu6cAdv926wbU1sLdpg2QZnNPRCLwvv82vH37Ak++w/Oyg9dLAvzaa/Q2SX7BWAxZRWuRtWwZSav/YCqHTcGECSTrADBoEHDaaU3aXBt3PQ5sW4oDXZWA6gy7GbC/CB4PP+Bs2sT/e2b+lYGBwe8A5jddc6JtW87+eeAByiGSozcWY/+910tiJnXcKYXoCSOh1m8EfD64hfIZAM7+OeEEEpWPPpL33Xi0kVMiaihEtWnTJqB7dzECX0UiJIVa0+z/wQf229MauP9+utn/8hfGq9htz+MhuS0spFwjEWGvl8Tsq6+Avn3hyhLGEkQiPA+AzRqrVgF9+9ouzXVX4L4AR0EpdRVEEtfYb2VZsvexooLdyvvsQ6Vo6lT7dW3aoG70xWios5Bx9PHwS+Xmtm1JpsaNI4GT1LB4TP7DDzNaom/fppO4bt0Sr52UsZoaqrzRKO9BaVxEYSHL/7EYo3jGjm1a4G+7drQwbNvG+8a0QhoYGPwO0OKeOKXUVUqpxUqpkFLqpR1+Nlwp9b1SqkEp9alSqmujn/mVUi8opWqUUkVKqRt2+8HbIS+PxMzpQZeWRjXnqKNoxJbUK78fX67PRZv9u+EPIzqiMOTwIJ4+nWXPwkK5UxPgw3zaNPb8n3iivC4jgwrg7NkkexLh83gSP3M6Z61J4ACZzHAhH+gjR5KUSvOTsrOZ6bZ+PYmjoEpZHi8VwCOPZKT/YYfJuy4qguu6a+G67lqg1H4UGgAqk5Mnc7vXXisuq2nbDZ/e/RkmDX4F2559VyRd1SoT1r494OuUj1BWPgKWoLBVVpKY9ejBzgUpPyQYZALt4sX8QOEUy7GrOPtsTjJfskQkwQCo9PbsSYIWJ892KC5OvLdr1shl+F+Cdu1oAjTtkAYGBr8TtDiJA7ANwDgAP0tMVUrlAJgJYCyAbACLATROnrobQE8AXQEcBeAmpdSfdsPxNh2hEFWhzz4D7rhDzEJrqAph4sNuNDQwxWP1SoeBkPHOvawsxpxISE/nLJw336RqInXxhcPsZhsxgq8bGuzXuVxUQKZMYeitNMQ8PrHa5aI/TICKRoHly/lNYSGVPjuUlpIwbNsG/PSTSPZcbhf0tm3sxL3zTjmTL36Mffrwy6mJZNkytn1u3gzcfbdo9g/EvDigdz0uOXYLwtUNqKqzF75T6kvQpuB7ZM55A+nVW6Gqq+z3GwqxmcOyeD6Sed/vp9cSoC9MCsgFgLIyxL74EtbGH52bAdLTEevbD1aHTs5d0t99l7h2ixfL63r3pu1gyhTg0Ufl+8bAwMDAQESLl1O11jMBQCk1GECnRj86HcAqrfX07T+/G0CZUqqP1vp7AOcD+D+tdSWASqXUswAuBPDhbjz8X4eMDJanRo7kxIaXXrJdlpzhx98ujeC997xo3x7o+wc53BU9epDUKOVo3kdyMvPkolGSPonElZUBF17I10cdBTG8TGsa92MxYO1aNhlI6/r1Y87X11/L+/X5SFAmTKBSKJUqAWD+fJYW8/K4TTtEo1AvvJCIQZk9m1EUdvjqqwQBWbQIGDbMft2gQVS4amup+gj+q1xVCteUJ4ElS5A6bhzCUS+A/21u8ES35wsGAlDTp8P3zjsAbMqQPh8V14wMlkwlT1wgQM/eRRfx/ZZUrmAQ1j/Hw/3QRMDrRWzteri72TfOxJatgPuooSRzX34lrsNJJ3Hf9fWOZB2RCLtO167l/wEDAwMDg1+MFidxDugHYHn8G611vVJqA4B+SqliAB0a/3z761N37yH+Svj9TGFdu5YPZoF0qVAQf/xhKjZ/chTcDXXI3xoEOgtdp9XVfHj6fCxXSl6yDRsS5GT8eODGG+27K/PyqOpVVjL0Vyr5BoMkfD17cpyPRJB8PuDww6kmDR0qG89jMRK3UaOoGkpkT2sSQoCp/lVVcufuPfdwTceOUAcdZL8GYLl17lwqXWedJa+LxajChcP0XkUi9o0NVVX/bRxR9fXwT5sGOxKnAHYC9+4NrFwpy+NKkaw+9BDjYY4+2n6d10uV91//InF+913bZQ1VYaSsW0vFtaICsdIKkZy5nn+WamxDA9Tn84Fuf7Hfd1YW7yutZT8cQGn54Yf5OimJKq6k8AUC3HdW1m6bNmBgYGCwJ6A1/0ZMA1C9w99Vg0/BtEbf7/iz/4FS6rLtvrvFpaXCeKbdjUgkERorITkZKT07ocPRfZF/6clAp07y2qeeoiI2d25iMoIdamoSr0tLZZIUDFKZWr+epE86zuRkErjsbK6T1KFIBPj730ngbrvNearE11+ThG7aJB+fx0Oy0Ls3pytI6qPbTdXqj39kg4bT9X7vPXrnjjoqMbnbDpbFDtHHHnMsz6qMjIRfsH9/MWIEbjev9x13cLyUVP4MhahQRiJ8v6XyZ1oaGypWr6YPUShVujLSoZ96CrjhBujp0+Hp6OAl+8tfePwdO0Ideoi8bsMGvifduyfK4nbo1ClB5AcMkO+b8nK+zyefzDK25JH8JaispHe0rKzp2zIwMDBoQbRmJa4O/xtv3wZA7fafxb8P7vCz/4HWejKAyQAwePDgnU1r/O0Rn3JwzTVUSj7+2L4pIBqlwjZ3Lv+N4J0DQMO+UiQEgwbJ6wYNSpjir75aJkkpKcDpp5MITJ8uP2SVIqGZM4feJifl7Isv+Pqzz2TPmdtNArJlC3DMMTKhUYqNAv/4h3OcRDRKRSpeDt53XzYm2OGEE4BzzuGxSeVjgL6vV1/l6wkTgGefFc9Fr14NWBa0csElEZBgMDHW7Lrr5NKwy8Vp4i+9xPdGOu82bXiv1Nc7drF66iqh7r4beP55KJcLWL3GfnsAydnMmdxuUZGsuH72WcI/OXt2wpu3I+rqOAaqvJzvuRQiXFnJ9xhgefg//2na+ImqKuDBB0kMR41ibMpuHENlYGBg0JxozUrcKgD7x79RSqUC6A765CoBFDb++fbXq3brEdqhrIylthKH7sba2sTEhlWrSNTsYFlUKdq3Z0egUympd2+qZmvXMmJBwhdfcP9t27IsJ5Gpbds4Gb2+nv4viUDW17N8d/31DNyVOiG9XhKebt2YgyaVZ8Nh4JBD6Kfq0UO+NqEQI0bOOosPY6lTUylu64EH6J87RFaR1MKFDEy++mqoBQvEdejVKxGHccQRItHUloY67jiobt2gPvwQMY/chfzfkUjHHy9fm1iMZH3ePPopJVLY0MBS8+DBDASWJni4XQk1yrKAYMB+HQB17LGcoNGzJ2fVShg5kvdsz558fyR07MhS85138v6Wyv+pqYkJH4cc0vQGiECAHzYAKtYB+ZwNDAwMWjtaXIlTSnm2H4cbgFsplQQgCmAWgAlKqVEA3gNwJ4AV25saAOBlAHcopRYDyAdwKQCHkdu7AZWVHJH1wgv0f82caa8aZGQwRuP88/lQljK8XC4+sK+8kg+5lSvlfft8JCA+nxwWC/C48vNJlnr3lpWzDh2oWv34I4OEpYdnSgpLkB9+yHKgtC4W46ivs86i8iSVNVNSqESVltJv5hSYPGwY1ZzsbOdr2LUr95eV5TwaYODAhIrklKGXnk6Fsr6e+45G7TPOKspJqgGo558jQcsQSqoTJ5IMlpXJ1yYaJQH57ju+N8ccY7+urIyTMcrKqBjGidIO8GRnwnrqaagLLgCys2G17wSxjeSbb/j+eb0sk0pxMp07M6fQspyjPvLy+EEmEnHOdMvL4/mWl3N7Ukka4EzgsjL+G2laQ3IyFfDx4znZwXTFGhgY7MFoDUrcHQACAG4BcN7213dorUsBjAJwH4BKAIcAGN3o390FYAOAzQDmAZigtW7ZztRgkNEdABUvpwiI44/nFPDXX5fLQ7W1LLUCJBc//CDv++mn6eOaMcPZE+d2U+Hq3ds5esLlYhTJvHn0WEmKRSjErLQPPmA3q7ROKSovXbqQZDpFm9TU8OEaDMreueRkztJct45eKenhrjWv8VFHMUOsuFg+57Q0kseSEkcSp4uKSGayskjSpGPMyCBp3k4clFOY7dln0y/4r3/JobduN/DKKyS5s2fLnbtJSYmJCv36ORIVV10t1GOPQb31FtwuB6fBhg2MVZk6lfetE/LySPJ2NoQ+O3sng1PBc2zfnkqlE9n76Sdev4EDWRIvKLBfl5kJ3HQTf25KqQYGBns4WlyJ01rfDWa+2f3sYwB9hJ+FAFy0/at1IC2Nn/DHjqXZ3knNcQrQjcPvZwlwyxYqL/sJMzWBRJlQKeDAA+V10SijOZTiv8nLs3/YbtsG/Gl77N7RRwMHH2y/PZ+PD+OKChJDyacVjZKAdO5MD9ktt9ivU4rRE23bsgx4+un262IxerNSU1lylRS2+ESFJUu4rqLCfh3AXLMzzuDrN96Qu11zc6kCFhdDz5kjkjPl81E58/kAy4LLK1ybDh2oNhUX87VE6t1ukubnnqOKKxGQvDwqwtdcw3tIavqorqZ6++mn/Dr3XHmbxxwDHHssSdBHH9mvaUlEoySaAN9rpwaWrKymT7AwMDAwaAVoDUrc3oP0dJryV62iGdspr21XsWIFtzlokHNjQ79+jG1Yt855coJl0VS+kaO8RE9cXh4bH444AnjkEVn18XoZ9vv228ATT8gqks/Hc3nkEf4pbU9rKkdvvEESJxnetWY587TTOM5LUsNcLpKTWIxk02naQG0tVbs33pDDjQGWtc87D7j7bqhZs2BJ+7Ysnu8ZZ/BYJZSV0cN2xx0sX0tqZiTC8OXHryppAAAgAElEQVTnnuOfElGJxUgIr7qKHbfSvpOSEuQ/Odm5YeCJJ6hQrlvH5oXWBp+PHs9DDgGef965bG5gYGCwl8CQuOZGWhrLP04ZWQAVoU2bqCZJCIVYnr3mGsZyrF8vr3W5qAL+61/O3ZorV3LU19ixHL3ltL199yVJqqiQt1lfT7Vp61Z6ryQCYlkkt23b8k8JSlFx7N+fyo9UkgsE6Ptau5adpE7RMUVFVNkWLXJWaIYP53FGo7LfDAD235/737QJuPRSuJxmp778Mo/xuuvka9PQwAiP995jk4ZTU0w8Sy0tTV5TVsbMu3ffZZ5clTABwu9nKXzFCpIzJxI3ahSJUVaWs9LbUujYkVNLXn2VcTKSJ87AwMBgL4IhcS2B+noqG926AUOGsHRpB78fuPde+nxOOy3RwWiHt9+mWte7t7NS0tgH5+SJa2hg+v7IkXx4S8qUz8fy4gsvUJ1yKms+/zx9S6++6qwiXXEFidnZZ8tKYVJSYrxYbq7sl7KsRGTIJ58459PNnUs/1bnnOpcMy8tJ5PbZB6ivhyWphRkZCXP/8OEyEfZ4Esffo4e8zu2mSjhpEv1pAnm0PD7oeAdpZqbcFQvwerz3Hn2FTp2aubn0Z86a5UwgWxLt2zOfzkmJNjAwMNiL0OKeuN8lqqoSw+A3baI3qUOH/11nWSzvjR1LVWfdOjk+5IQTqKy5XMApp8j77t2bpdRYTO78BFheO/hgqliPPMJ/Z4dgkPNDAXaxfvqp/Tqt2fwA0JT/yCP265RikO2yZVTjnFTF4cOpELndzib6iRPpswNI0rp3t1/XOLjXacZqXDkDOGnh/vvt17lcJNT19c7KrNtNIvXjjySGEimMRllyraigQvv667bLymJZqLn5WaSe+3d+UEAebHWpujoqcfFmnDVr5OPs1Yv7dbtNM4CBgYFBK4EhcS0Btxu46y6WSYcMkZUNn48dn1ddReLhNNi+oYGdn34/vV0SAgGWwxoagPffl1WLrVsTpd5Zs0iW7MzgPh8J6LZtwEEHOU9YuOkmErTrr5c9cUqx9LhwIZUsp1iVDh1YMhw4UO7AdLsZgTJ1Ko+1Z095eyNGsJFEa+dr3VhFjERkOduySJA6d+b1vOQS+3WRCH2PvXuzlPraa/brUlJYnm1oYEOHoHp6vcBtk/Lw+ed5UMphDr1SP/cwOs2p3ZVGHAMDAwOD3QpD4pobmzeTWAwfTuJlZ/T3+0lOJkxgNIJUMvR6GSty3nlUc5xGDn36KeegAixX7r+//bpFixIq0/Tp9J3ZoUsXEpnvvmOThqTa+XyMNqmupoojNTZoTZIybRqJinTO0WginLa2Vi67xglIfMapU7ba8OHMOUtOdi4Ffvst89+U4voePezXdexIMrVlCxU5YXYq3G4SuM8/p4ImXZukJKpqH33Ebtw2Ow4q2Y5gkJMxnnmG+z3VflRwVhar9Vu2sMIoVhdTU6lSDhnCUn1TJiHsaQgEeN13FoNiYGBg0IphSFxzoriYhvgffiBZWLvWvkyalcXS45tvMqpC6mINBqlcvfUWv//4Y3lklNtND1ss5vxgOvJIdvBVVLD7VEJ9PXD77TyP5cuBPrZJL/8dio68PBIgqRwXiwEXX8zXSpHs2iElheXW8eNJ0CTfnttNgvbQQwxMHjLEfp3Hw23EjzOe/m+Hww5jl6/W8jB2AMqyaJ6vq+MxSCPJams5KgpgqXTqVPt1oRDPt3t3NoeMG2eveloWm1IiEZLMk08WjzE3F8hta+18YHx+Pr2Hfr+j0lZWRv6YlcVJWk6XsVUjEiFZHz+e9+NRRxmF0cDAYI+FaWxoTmidGDsVjcpqE0C15bzzqPZID5GUFJZdBwygYubU2HDqqfSwDRvGgFkJFRXMa3MakQUwLqVbN/45YoRMBvx+TqrYsoWEVVK6lGI2XH4+iYqEYJAKZUZGItHfDoEAcPnlJHFnnCF72OIK3ccf01Po1J1aU8NOzRUr+FpCQwMJV//+CT+ZHfz+hPrmNL1AKTKjRYvYVCGVNT0elo4BdvBKfkGt2cl88cX8AOB0LmvX0kN5882OHb7PPsvb9cQTaVfcY1FeTv/o7Nk878pKcWlhITB5Ms/XKXHGwMDAoKVglLjmRH4+OyBffJEeMskAHgrRyH7++SRc06bJpax27Ui62rSRFR+ApdGxY/m6fXs+ce2QkgIsXcrypzScHKDqM24c40AmTWLciLSuooIl1TvucO4m/etfGQORlSUrbLEYsGABGz6UkhsggARhdLlk4uNycVLE9jgV/cknUJ0726/99ttEw8KUKVTl7LB5c6L5YPVq5vfZlUp9Pp7LypUs6UrvXzTKBoP49hYutF/n87E7tayMUptUni0q4v23ciXPY+NG+xJtdTXV2AUL+PV//yd2+aakAFMeKkd90AXL2oODcl0uqtkVFTxX4b6pqOB/z48/JlfeuNG5D8jAwMCgJWBIXHNCKRrnpW7FOKqrSSzy8zlCqarKnsSFQvSPffMNvVW9esnlysZqnlN5qLAw4SO7916ZqMTHEgFsSJgyxX7fkQibLwD65+IdqHbnMnw4yVs0Kkd4pKdz5mx8tqVEfFJTmYl3+OH0/wmk0ALgajySy+lJ3Fixqq6W1w0axOaLLVvoF5QIZDRK4jV0KAnVoEH26zwekvWiIoYRS6pnIMDyX0EBS/BSx0IslvgAkZwsby8pidfvo494XRw8cVedvBnu886BlZUNfcFz4LjiPRB5ebxHV67ktRYMg1onpubFYnLDsIGBgUFLwpC4lkB6OtW3xYvpNXMysk+ZAjz8ML93qmMddxxrP0lJiZKbHRqXHZ3KbO3akSjV19NDJ5Epr5cRI126kNQ4lfgKCnhOTs0FwSDLsk88QfIhPT0bGjgjdv/9uV8hNkRZFjP22rcnaXaaX3riidyW1vQXSlAKGDOGxNTJHO9yUd1auZLNCNK+PR4qmVu38rpLpMvtZvkvGiXJlNa5XMADD5D877+/rI56PFRGhw6lyc1hyoH7wfHAwoX0X8ybSx/dnop27XaaJde2LZuEn3qKnz32WA+ggYHBXg1D4loC4TCJzxtvUCmRJjEkJf3cp+SUXfbss3Sex2L0/Vx3nf26nj2pYFVUOD+I4/NGa2pIPpyIQNxnN2mScyPCjBks+44eLatXKSkkaLW13K+kPFoWa11jxvD7NWtslymfjzM1X3mF12baNPmcX3+ddTOluO7WW+3XbdnC4/T72XkaVzZ3RFVVgng/84wcWxKJcLxZairZwty59uuSk7m/H37gXFeJWKen8/p98gnvhXhDyY6oq2Ow8uef8xgWLZK9eyNGUJn1euXO570MnTvvXFQ3MDAwaEmYxoaWQCTCbkWAJTKpwcDvZ9n1iivoDZMiLwCWHjdsoNolxYYAJCj77ktjvFMuWDSaiPFo00ZeGx+7tWED8+wkB3gsxokNSvFPKS4lFGIXZ69ePG8p8y4+K/OWW0jQpBJyMMiu06lTgRkzSOoknHEGvXgbNwJ//rO8LiWFamffvlTPJGRnk/C4XCTVUhdyWhoJ+AUXUJGTRkYFgyRwDz9M0irdN/X1vCZHHUUSJ01iSElhl3Q0SlIodT4D3NaPP/LadOsmrzMwMDAw2G0wSlxLICeHpOLWW1kGtYuTAEj2nn+eisnHH5OcOXU5zpq1c/NOIEBi5veTFEilwEgkQchiMVmJ8/tJLn/4gWqN02ip22+nspibK6+LRKjoac0w4rgxaUcoRcXptNN4TSRy5vPRa/bMM9xmfLqEHSorGcDsclFdlJCZSbIXizk3m0SjwD330Ie1YgWvvd36+no2NvTsyfLrzJn2RC4SoXoaDrP5If5BYEekpZGoX301cMABsqLo9bJTM14GdyoxZmQ4xq7slYh7UuMKqYGBgUErgyFxLYWePRNTBCRvk2Wx1Prqq/xeehgDfNCEw3wtTS8ASEDuu4+E4M47ZRKXnEzStXIl56JKD3ivl0bxcJikRlLYLIskKTWVf0omeqWYrfbPfwJHHy37yJQCHnwQeOwxKkrff2+/LhLh/saO5TEUFMiKU11dYupEQYH9GoDv19lns0lk+nT5XLTmvkpLGf8iKWceT6LR5YcfZIKrFBtRli7l/SO9d2lpVEUvvJCk0SnENz2dXwY/RyhEz+q119IzOGaMrJAaGBgYtBAMiWtJOA2gB/gAfvBBEp8+fVhilNCtG8ueLpfzbMvSUpI3t5u5aYMG2ZOBrVsTGWi33koiafewj0RYeuzcmcrTc8/Z7zcW4wNx4EBGecyZIx/joEHAvHk8VqmMG4kk/GYNDfSf2UWHxElyz54ksF9/Le+3Q4dEvp9dSHMcX38NfPEFX0+YQLXUjmx6vTz+/HwSK6dSbmEhz2fwYJm4pqVxUsTWrUCnTs7kKytLVnhbA8rLmWG3ahUnjbS2ofXFxSznr1hBb+illxoSZ2Bg0OpgSFxrR4cOwJNPOvvXAJb/rrmGxO+hh+Sya8eOnOFZXc3OV0nN6dCBM07T0kgQpXKSz0c17IMPaKB36mJ98kmSwWefldUmt5smf4+HqpMUzpuUxO39/e/Mu5P8ZgDJ7+rVfO0UMbJxY6L54L33OCbMDoMGsbRYU0MfnXQusRgf/kuX8pxHjLBfFw4zOLh/f16/+nr7ho7MTBLMnBxed6np47dCKERC7NThu6vYuDHRcFFSwuuzsw81uxOpqbyvVqxg+d9MdTAwMGiFMI0NewJ2RuAAer5mzGAuwuzZ8rqNG+kLu/9+pvVLXjeXi4Tiq6840koqBcazy+6/n4RGakSIREiQJk+mD0uaxJCaSgXu+usZQCuVZ8NhErNDDuGxSesikYS/LxolQZLQOMJl6VJ5XXo6f75+PR/0Ujm8upqqXSRCwikdo8fDn82ZQ3K2K+/37kZhIQnpTiY7IBRiKXrrVucxB41jZtq23fl4sN2Ntm05LeW776gcOymzBgYGBi0Eo8TtLTjggMTr/v3ldTk5JBd+P1U4SYkrLmbgLkCD/NSp9sZ2lyvxAPZ4nCcnpKbywZ6eLj+0q6rYrLBxI2M+NmywXxcOs0tz0SJ+f9ZZ9uVUj4elz8svJ0H66iv77QGccrFsGb1zF1wgr1u2jA0pAFXNRx+1V+Nyc7m/cJgeQ6n8GY3S/xcIMHbm3Xft11VW8j2ZOJGEatw4ZwWyOfHgg+x4Bdjte8YZ9us2bGBJOBJhSfyww+zXdezIa7NpEz8ESKXmmhq+f3PmADfc4NxB29zo0MGQNwMDg1YNQ+JaO2IxKh9er/MD+8gjGTvh9YqjkwCQUAwbRsXk9depxNkRuexslreCQXnSAEDyMmcOH9hnnukcaDt/Ps/HiewpRSP+xo1UaySy5/PRS3XRRTw+6ZxjMWCffehr8nqdu05nzeK4KqWoasZHYe2IrCyS4ZQU+qScfHsnn0xCfPfdjPOQgp1POoll3/Xr5XMOhZjxZ1nMbLvjDvlciotJ1lNTSZiair59E6+7dpXXzZ+fiDR5+22ZxLVpw2aPgw923m9lJZVbgOHFb73l7Pk0MDAw+B3BkLjWjtWrSSy6daMS4tTV6fGQAEjqGsDyUDy246OPqKhI6z//nAQyLU32fYXDPKZzzqG3SfKcRaOMDnn+eXZO3nCD/Tq3mwrcokVUF6X9AsCBB/IY46qiHTweEtILL6R5/skn5e0NG8Z4fq0ZlCshLw/4z38YXdKvn7zvqiqSKYBxKVLortfLHLlwmIqi1F3s81EV3bCB5FHyH5aXM9rkqacYNTJvHhshmoIzzmBTSnq6szo1ciRL5oEASWtT4Xbz+kQiznmFBgYGBr9DtDIjisHP0NDATtL160kaVq6U1y5YwA7M7t1J1CQceSSJysCBnIkqEZCGBnrhzjqLZUvJw+bz8Ss9nc0UErGwLPr2olEGF0v7tSxGoGzcyLmkUmODZQHLl5OwrFwp5+OFQhxBtXgxy5Tx8qu0zS++YAabU95eaSkJ5gknOAcXZ2QAf/kLFbYJE5zVx/R0HqtSiaiYHZGVRQJ83HGMvJC6T+vqEt2/Gzc6e9N2FdnZVM369nXOi+vUCfjwQ+Czz0ggm4q2banAPf88v1pzx62BgYHBboZR4lozkpKows2ezQdnz57y2jg50ZpG7CFD7Ne5XDSnx2LOHXepqewYXLWK/jCpTOpykXR8+CHJoVPG2WmnsWQ5erTzGK877qBaePbZzuHBf/gD9925s3x8fj+7dm+/nUTUiQTk5ibGdzUuH+6I8vLE661b5XPx+UhEw2EqlE5l1+OP57ZGjOB1t8O2bcDmzZwCsW0bFVI7VSw5mT69a6/ldnd3Z6VTLt0vRVUV/X8Az/3GG51n7xoYGBj8jmCUuNYMl4teqU2bWFZ1KmOdey79V3/+c8J0b4dFi/jz44+nSV4iINXVLIutX08DvVOX6EEHcdLAeefJ3Z9K8RjnzUv4zuxgWVzzpz9RAZT2G4uxVLl2bWIovB205tfhh8szTuOor+e0hH//27mLdb/92Ll44YX0ujlNnzjsMEaVTJ4sH2M0mhjftXy58znfdRfDZ2+4Qd5eKEQyevvtLCFL2/sliETYoVpUJN8zvwXq6qjEffMN35vmUBUNDAwM9hIYJa61Y1fHHfn9JGdKOedtNc6PczKop6ZSMVu1iqGn0oM7FksY2cvK5HVKJUz9TiG1kQiVwqIi5s9dc439Ostizt0zz1B5iitodtv74AN64erq2Flq18UKsJR6yCE81s8/l5XPrVtJbtPTWeKTJmlUVZH4ACxvxhWlHeHzscT85pskaZKq6HZTpUxJIXmWlD3LShBwgA0nEsrKWI7u3JkfEiRP46pV9DS6XCSuu6tLNDOTXsJPP6W6aMqpBgYGBv+FIXGtHcXFHO3UvTszyaSH2HPPMasNILG6+mr7dR06UOmqrGQ5UlLEfD6SvLQ0kkKJWCQlsWNw9myWuqTuS4DlsBdeAP72NzYE2MHjYUlxyhSWNJ1mk8aJWyAg59N5vVQoTz+dqtT06fL2hgzhOq2p+kior2ceH8BzkfxzWVkkXaWlVO2khgXLAo45hgQyM1N+T7TmeK758+nJk/IAU1JIeO69lyVuKb4jEOCaeETK+vXs5LWD281jy8wkGd5dyM1lpEogQF9ecwQNGxgYGOwlMCSuNSMcpurx9NP8fulSmcQNHUoDv9vtHNuQkkKSl5lJUiERBr8/sR3LkomKZdG/NmwYiZQUg6IUCcWwYc7dsy4X8Ne/chKDZclqU1ISVbgxY0hupYkSlsVYjs2b+bV4sazELVxItUkpvu7Tx35dnz4kzZs3M39OIhaWxQ7ar7+mmurkAywuZgfrBRfIxNXt5nEB9D1KUSQZGSQ/F1zA15KHLBDgrFYAiEahy8uhJBL3yitUCwF68vbbz37db4FdVaMNDAwMfmcwJK41w7J+7meSOkQBEo8FC/in5JUCWE6NRrltpzy5+ADwVavoJZNKtIFAolzXrRvLXtK53HAD1aOzz2Z4rB3cbhKy77+n+igRlViM5On++1n6dSKGo0czRDc93TkIedgwqnZaM+NMQijEsVxKcSzT0Ufb++JCITZzACRdUsNCJEL1MRLhfj/6yJ4MezzAxx+TLCcny148n49dom3akLQLBDeivPDedx9JXt++0FnZEK9i49mmzZXTVlrKezEnxyhsBgYGBr8ChsS1ZmjNcl379ixtOs397NaNhMvvd4522LSJMSNVVcDcuUzXt0NdHUuLAD1Tjz5qv87vJ2HYupWKmBOZuv12Rm1UVsprQiH6tHr25ANeGvcVizG4t7SUBEMimVqzSeOrr/hvioqAHj3s1776aiKe5ZVX6E+zw/Ll7LIFSJiGDrVfF8/tsyznknR8bSTC6ykpduEwz+Phh+mvk2a7lpTQg9elC0dgDRtmG/gb9qWj3peDzGOPRbBNDiKuNhDdiuefz6iUzEy5FA6Q1JeX85yzs2UVsKiITTsbNzL6ReqmNjAwMDAQYbpTWzOSk0ncSkuBdeucoxs2bODX8uXOUwnmzwd++olqzlNPyWXSxmTMsmRFzOtlN+dnn7EM6hTG+sYbnK7gpHK53SSQs2eTsEj7tSzgxReBE08kKZXUR6USocDr15MQSzjmGJIon8+5w/fAA/nVvj3LuRI5i0Z5rvfdx7w/CR4Plb1776VnUFLYLItNFEVFXOvUMVxayvL1iy+K1yY1FQi17YT3ss/D0o4nIZrhMBEkJ4dBvkcc4dxcsG4dP0R068aOUglr1lDpraigmurUDby3IBgkqd62zVlV/yWoqyNp3p0dwwYGBq0GhsS1dvTqRV/cLbc4lz8HDCA5q6qSzekAFY/8fCpD550nK2duNz14CxfSa+fUdZqbyz/32ceZdP3rX3zo3HeffHxKcRtffkmS4hSPEVfN6us5Y1PaXnExfVy9ezuThU6duM1Vq2TfHEASdfXVwOOPJzxqdkhKYn7et99SDZQIs8vFtbm5VK4kxVUp6O0jqPSwYc7hwU88wf198okcHgzeCieenoQhh7ubp/Fz0SISFMtiWVhCr14kwS4Xu0+lpo+9CStX0iLQpw8VyKaitJQfIkaOpP3AwMDgdwdD4lo74rNEMzOd1730Ek3548eTOEiIRKjGLV3qrOylpLCz8pxzWCqVjOWRCBWueDOARBhcLqpmQKID1A7hMB/q77xDZU9a53JRSTzmGGDsWPn6aM1YkeHDd16y++EHnk80mojnsEMsxm7TUaNYnnYiZ336AKeeSuInKXbhMMuQf/oT3xeh+zOqvFD33gusXQv16KOIQiBxmZmMhQF4zk4dw82Nk05i+fbQQ/n+SejQgfNsN2/meyiR/70J//437QG1tbQyNBWbN7O5Z9EiBjtXVzd9mwYGBnsUjCdub0Fjz1NjE/qOyMxk+aW2lp4pSYkrKGCJD6A3bPp0uWvyhhsYRnzddSxt2sHnozr06KN8YEuxFy4Xy3FbttDc7zSxYeNGEsNAwNmLt3w5/4zF+OAbMMB+XTycVynOb5WQnEzPXGEhmxokEldRwTFZADt9Dz/cfp1SJIRVVVwnDI2PuH1wezxQ69ZBd+6CmNtn/x84NZXke9QoEkcnBbe50aEDyYrWzg0QSjmXtvdGXHwx76vk5MQHGjuUlQGvv84/r7hC/rDVrh2V27o6+jKd8iENDAz2ShgSt7dg6FCSLr9fNu4DJB4HHcSH7FNPMSLDjgDl5/PhUVLCco2kiAWDJHAAzf7XXmu/LhplR+rkyQzwHTPGfp3HQ1VxxQrGWEgKTX09vVTxcWN/+pM85H3sWJ5Hp06cGSuha9eEj8upjJuRwRy7aJRlWukYs7Opwn3zDadeSGXSpCQqcNXViY5SG/itINQ33wBPPw11wQXwnnKq/faqqlhq+/ZbNiF4PM7Evrkhxcz83tGjB+NmlPp56PaOWLQokfMYDifyH3dEXh4nltTWkjA7ZSoaGBjslTAkbm/Bq68ywiI+munii+3XrV+fIGQrV/K1HYnzetmsEAqRWDjFWfzlL/Q/3XmnvC4aZd5d27bMG7vuOvt1SpFcbtzIc5k0yX5dmzZUAM85h8qaU2nY6wWuv57kyCl+JRDgODKAmW1O23v+eW7L5XLuOr39dqolZWWyYheLsdy7cSNLzUIUiSsWJemORIBvvoFr5Ej77dXVMXj5o4+471Wr5OPbm1BczPcwLa35YlCaEy7XrpHpxh29TkZFn895FJ+BgcFeD0Pi9hbk5NCfBTgrIYcfTq9SRQVJkKQiKUXFqaaGSpHkq1KK2WqnnebsvfJ66U1bt47xIU5drKNHk3BpLR9fOMzS6H/+Q5VNalhwu/nVqRPPQyKZAIlbSQlfv/uurNrFifJPP3GcVyxmf5zRKMnqkiUkZr162W8vEEgY3RcsIAmzy3Zzu3lM33xDldKpsaGggK/r6pyJ696CkhIS4IUL+aFi0iQ5ABpw7rhuaQwYwDzAykr6Cw0MDAwEGBK3t2DUKKpRjSct2CE3l92usZic4QXQr1RZye21aSMTBpeLakFmJst4TvEYp53GGJS+fUm+7JCaysDg5cvpHbrnHvt1Hg878m68kYqE1IjgdjPSobycx+hEcEePTmTjSZ49gArmlCl8fe+9nN5gp8YFAuwqzsjg+QSD9tvzelnyfecdrpf2rTWN7LW1zoTZ7+cc1q1bGXDsRJj3FoRCiU7hmTPZUW2HWIzl/4cfZnPKQQe1vs7Y7GwqswYGBgY7gSFxewvatqX/amdIStp1A/SuZE4oRdL1zjuMEHEicQMHssy7eLHssUtL4/SCVat4PpKPLBIBbrqJJM7jkUuakQjLwrfdxn06ZZcBNJJrTWImYZ99qPakpDD3TkJaGr1/a9eylCydi8vFh/YBB7DZRCJdWjOc2e3mecWV1x2RlERl79pr6RW84w75GJsbsRhVsXhjgxMZbk6kplJZfvllfkiRPqCUlLAbtqQEmDoV+PFH2yBkAwMDgz0BrbSeYNAqEInsPIS1oYG5bytWAJdd5lzWPO00Nl+MHi2TvYICkrxrr01MZbCDUiw59e0LnHCCHJ5qWVwzdy4N49IECIC+wrlzSUqnTpXXZWWxgzYcpodOKstVVJDAAfTQScfoctEn+Mkn/FPqtE1J4bU+7jgSs9RU+3V1dSzj/vgj/YWBgHwuzY2NG1nq7dFj93rxsrPpyVyxgjNj04XZEy5XQo1NT2+9JVUDAwODXYBR4vYWlJXRTxUvpza1Q7C4mKW7JUuAiRPljlefj8G4P/1Ev52kIkWjHN1kWZzEsGGD/TqXi2XACy+kivTMM/brYjHGfGhNn11FBVWsHeF2syP3pJMSvjwJw4YlHupOXqSVK39e5pWOMSOD1+Tbb9mRK5GzvDySt9Wr2e0qmfIzM0mEXS52DEtKqcsFfdxxUE8/DXTvDu3zyTNRmxsff8yyOsCYDCelsrmRkSHnGcaRn8+GjwULgFUSPxIAACAASURBVEMOcW6IMTAwMGjlMCRub8GsWVTCAOCtt9hs0BQUFCRmhwaDVKnsyIXPRw9SQ4Nz44BSnJiwZg3whz/IhCYSYZac1sAHH8jKWVISy2fnn0+iIBEfpThyK77t9eupFNmhWzcSQq2dfVKN4yH22YeE0q6c6/EAV15JQl1XJ2/T5eJx9uwp7xOgt+/II1kKvP9+kkmbyRLhkAXfqFFsYLEsWDEtxQI3P44/nmQ6EAD+7/92115/GTp2BM46q6WPwsDAwKDJaNFaglLKr5R6Xim1WSlVq5RaqpQ6vtHPhyulvldKNSilPlVKdd3h376glKpRShUppW5ombNoJWic1i6NoPolyMpK+Jn69pXJmdaJkmd1tVyeSkvjJImFC0kypXKXx8Ph7gCDdKXsq3CYZGzZMvqgJMRinDd69NHAuefSdybh1VeBP/+ZD3inbWZns+T6+utc6xSrcuSRJK/77it3iRYU0N/Xvz+PId4huyO0TsSUSHElAMJJbWC1yQQWLoReuxaWxyECJRLhNInycnnNL8E++zALbcWKnZNSAwMDA4MmoaWVOA+AnwAMBbAFwAkA3lRK9QdQB2AmgEsAvAPgXgBvADh0+7+9G0BPAF0BtAPwqVJqtdbaYebUXowLLuADOSmJZcimIjWVqlkkwpKkZMqPRqkyJSXRg9W/v/26rCz65SyL25PGZKWmUlG85BKqU1IThtZUpjp35jFIfjOl+PMzzyTBdIrbGDqUHblKOZdTly7l8aWmcrrCSy/ZEzmvF3jtNZbuxo+XO0pDocSEiPHjSSTtkJbGrt7p0x2bPlJ1PVR1JfDmm1DDh8MjTICAZSG2+Fu4z/ozdL9+sF6YAnd7obwYCCQ+KOTmimXzmhqgtC4fkQiQ79+13pg9HqWl9DN268Yxazsr6RoYGBg0F7TWreoLwAoAowBcBmBho79PBRAA0Gf79wUAjmv083sBvL6z7R944IHaYBewaZPWXbpoDWj95JNaV1bar9u6VetHH9V6+HCtFy3SurTUfl1Rkdb77MPt9erF7+2wZYvWN93EdUOHar15s/26igqtly3T+tRTtf7HP7T+6Sf7dQ0NWp9zDrcHaD1zpnzOhYVaf/cdv6Tj05r7OuAArdu103rxYq3DYft1q1Yl9nvEEbxWdtiyReshQ7R2ubS+5hqtCwrs1xUVaT1vntZffKH1ggU8Xun4evVK7Hv9ettloZJKrY8++r/rIgu/ks953Tqtp03T+oMPeG8I+PLLxG5nzZI316IoL+d7Id2rvwShkNZXX5046dWrm75NAwMDg0YAsFgLnKZVtWYppfIB9AKwCkA/AMvjP9Na1wPYAKCfUioLQIfGP9/+up+w3cuUUouVUotLS0t/q8Pfu1BczPmlAPDGG3IkSDTKDLTDD6fq1NBgvy4WYzzGo4/SEyeVAy0rkcE2bx7Lpnaoq2MH6+zZ7EqsrLRf53azqQGgctXP9hYhSkpYdj3qKJ6/hECA3Z9PPMGGDgmpqQklsXt3uezq97M0u3w5fX7SunAYuPlmXuu//U1WH1NT2SAB0CsoKHaWPwWBU7Z7w/LzoTsKY8sAXuezz6bn7ccfxWWNG1KXLJE312KoquIItE6dgIsuoorWFFjWz++9nXVzGxgYGDQjWrqc+l8opbwAXgUwRWv9vVIqDcCOv2GrAaQDSGv0/Y4/+x9orScDmAwAgwcPFtiIwc/QqRPwxz/yqXzHHXIpMBZjfAZAD9RNN9mvS0ujGf/LLxnEKuV4ZWQwW+3mm9mBKTUDtGnDCQjz5pEESSUsl4ukZ/16ljedRmQtXUoiGn89YID9upIS+gTDYfrJJEKanJzoxHVqvgiFWL798UfglFNIDiXEmdF338nEOjmZ1/rii1luFkrSSW18qD/jTNQNHwGV5IOVkQ/x6hQVJV47+OdGjmSEXn09I/daHQKBRDfxO+/IAcy7iqQkYMIEjtPabz96Hw0MDAx2E1oFiVNKuQC8AiAM4Krtf10HYEfm0AZA7fafxb8P7vCzvQsVFfxKTqYXaXeFp5aWsvMzL4/dnYMH2/vYsrOBF19kh+q998qzIaurqXAVFNA7NG+efXNDdTUH0S9fTrIkqU1uN6ccjB5NouI05eD999mp6fMx7kOaNzl4MAkfQB+bhNxcErxQiKHAUvNFKMRcvI4d6WO79FL7axgOJ9StRYvkc05K4viuxx6jiiTtt6qKgcnxcWTr14sjqFLRAKh6wK0BVz2Ez0EMVQ4EeO5Dh9qvARt3n3qKvFbqXWlRpKTwQ8K4cbx3mmNaQ7t2JHIGBgYGuxktXk5VSikAzwPIBzBKax1/gq0CsH+jdakAugNYpbWuBFDY+OfbX+9dk75jMZbZevbk17Ztu2/fOTlU1U45haqZ9LDLzKT0Mm0aS3hO0wbipSunUqXPRwZw1lk08Uvbq6nhmnPP5SSIwkL7ddEopzScdhrJRzx81w6zZpFEVlcDM2bI69asSUSfzJ0rqznV1SwfT5xIIlkrfMbw+Thl4IADqMJJhDQ3l6XhWbNIQBpHnTRGSgrft7o63jdSKHBtLbth+/UDDjxQLkkDJIHjxrGMvJMMwtTUFiJwoRBVQokEA1Rsr7uOVoFHHpHVUQMDA4M9AC1O4gA8BaAvgJO01o2j5WcB+INSapRSKgnAnQBWaK2/3/7zlwHcoZTKUkr1AXApgJd243H/9giHGZ4K/HxI+u5AUhLVqK+/ZmenpPoAJFoSUYgjIwOYMydBzqTyZzgMXH89g28feED2xGVns0P0oouocEmhrV4vCVKvXiRATnNlTzuND/W2bRMzVO0weDDP47DDmKUnediysoC33wauuorBxNJAdo+HpOzpp0monKYI1NfzfamtlcupbdoAt9/O+2XePFkdDQb5ngBUe7dulfe7YgUVz759E17J1oTqal7jkSPZKSpNqQiFeC4XXsj/WxKxNjAwMNgD0KLl1O25b5cDCAEoUokA2Mu11q8qpUYBeBzAVABfARjd6J/fBRLAzWDX6gN6b4sXSU4mkdm2jcZ4Kb7jt0BREctx6enMdxs92p54ac21paVA+/ZUi+wQDAKPP0716JFHWBK089m5XFTMXn+d5+xUJh06lATF75eJj9a8ho8/zu/79qXfzw7Z2VTttHYmrVqTJLlcVEslhMMkFu3bc//XXmtPdpUi2dSar6Ug5OJi5s7V1XH9t9/KBM3l4r6cCGFODq/NueeSPHbrJq999lk2rTQ0sLzetau8Nu6fc4gi+UUoK6O61qaNs6oYzxc86yzg++/t1eOKCpL6AQOAyZOBI45opXXfFkJxMe+v9HQzzcLAYA9AiypxWuvNWmultU7SWqc1+np1+88/1lr30Vona62Haa03Nfq3Ia31RVrrNlrrfK31Qy12Ir8levYE3n2XRiOJIP0WyMwk0TrnHJZJJVKzbRtN+/vvT8VJKsnFYuxwfPJJqlNSM4Dbzay01atZqpRy4uJKVNu2VIicttf4IS01VADc3377kdB88om8TmuqhWeeyfNy8u316cM1o0Y5l5pnzqQPcMECmbgqlQhM/uwzmezV1/Nh/MILvI5S+To+ReOjj/het28vn/Pll/PadehAIilh82bg0ENZ4l6/Xl63qygp4T24777OjQgeD0k/wNKw1MDi9ZKAFxQwj7A5SObegpISKtA9ejB3sqyspY/IwMBgJ2gN5VSDnSEnR+4O/a3w00/0Xq1fz4kHjSdCNEYgkCAJixfL0yIyMzmpYcQIkjgp7NeygPnzgRNPBP71L7ksphTLj4ceyvKmkyJ25pn0pr3xhvN1LCsjae7Vyzl6YsUK4IQT6K2Kd7PaIRKhErZ5M8mCRCwiETYjPP44/WzSqLFwmOfRqxf9aVKpubKSpeZbbwWOO04mPrEY8MUXPI8bb/x5B+qO6N+fI8mWLLEd9fVfzJ8P/P3vVLvee09et6uoribJDAZ5ztL91a4dCfDKlVRxJa9bJEJVecYM4LzznO+b3xsiEX5AAHjNnbyFBgYGrQKtojvVoBWia1fGY0QiJExSySk5mb6wjz5iXpu0zu9nPtyYMSQhkrIXH5PlcrGEd8019uvCYR4fQFWuspIzO+229+qr9IbV1pL4SRg1iuVerRmvImHgQKoWWlOxkMhZNMo8N4D+tPhUBrt1993H19ddJwesaZ04/ldeYTewHdzuRF5fJCJ75+rreb777ssyc3W1XJ71ep2VujiOPJLl2UCAZKqpSE8ngVy5kuVSJyW1XTv5+ONwu1lOLy+nittalbjqat4XO2kiaVakprK8/vTTJPVO19pg70c0mkgIyMw0k0haKQyJM7BHNErVrKoK+Oc/WaKyg9vN7tSzzyYxk0p8JSUkP1VVLAuvWGH/wPV66bmqraVqJnXFpqQw1uHGG1nOlR52LhejUjIzSVicHvLz5lGdARg4fP759utCIZa4Cwt5TpGIfXNDcjL/PhrlOUul4ZQUkrh27UhGpRFnAIfKP/88fV/StW7fnpEmTzzBcF4nz9d991FxjcWYPddUfPgh1T2Axzl+fNO2165dQhVKS3O+NruCvDzggw84c7d/f+f7obQU2LSJJeT8fLmBpblRXMxSb0UFP4DYfTj5LZCZyXC/88/nPbOzZiWDvRvbttE7Wl0NTJ3K3/FOHluDFoF5RwzsUVREwgWwmzT+ekeEwyydDRvGofBSiQ/YpeHtiMWAW26hx+7YY+XSIsBPhk88QbVOUpssi2Ti00+p7Dl1ViYn8wH/4YfOKsR339HD9uWXLPlKv9iSk7l2yRLgoYfkbfp8VMXuv58KqERclWIHbZxsSvstK6M5/fjjSVqcfGSXXUb/3zff7PyhHY06v3cAO3Z9Ph7bCSc4r91V5OdTPZNK8L8U7dvz2nTqJBPh6mqWhQ8+mD7JkpLm2feu4JNPaDmIz9zdnUhLI7E1BM5g/fqEjebf/3b+XWzQYjAkzsAeeXmJpoa775bLn+EwP6UVFQH33CM/5PPyGGQ7aRKVGqlJIxajEgcAP/zgTApTUxkTUVDg7G0aMwYYMoQTDPr0kdfttx9ViPPOc17Xp0/iehxzjHxtGhqYtXfyyfQLSk0flZVsLPB42DAhEYacHGCffXje++wjR5aEwxzfddxxJFXStXG7SUSHDeOX06fsoiLg6qt5LzgZ3nv2ZOn4xx+Ze7enIhRiCRegD08aJ/dbYP/9EyX6Y4/dffs1MGiM/v35O6RnT+Af/2ieYGyDZochcQb2SE5m6e6ee+iZklSQtDSSH4CeMukTvNtN5WzAAJZJJS9SSgo7cffbj12EEkFSCvqBB0jgnn4aWiKPXi+7TlevZnes02zL6dNZQisrA958U15XWkqV5IsvmAUnbbOmhopKQQHLlhIRSEnhMd5wA5sBpO7UqirGitTXk2BIzSZud4IIBgKyShkMJiZT1Nc7Nza88go9jRkZzA6UkJTECRVduuzZnqqcHODll0nSJ0yQCfNvgW7dSIQ3buQsXwODlkBeHhu35s9P/I43aHUwnjgDe+Tl0WsWCjlHm7Rrx/JPMEgfjdT9WVzMkVabNrGxYf58+4kDyckkATNnklgIJC4WjcF90UXsWBw0SPYrBYP0VM2cye+d1LjTT+d0Ba2BM86Qzzkri2pJLMYyqUS6srLYyfnTT9yetC4apeJSVcXynUQgY7HE9U1JkVXPlBTgpZdIho88Um688Hj4Cbu+no0N0gQIgKXRCy4gmXe6NgC3p/WeTeJcLpLWGTNITHfXuDuA72skwnvXqXxdUcHS/+LFVJulcXIGBr8Wu7OxxuBXwZA4A3uUlDCmYsUKRnMcdJBcbttZRyBAAhKfCLBli/xwCoXoz7rlFo6O+uc/bZepYJCepXnzqLBJExY8Hm7rp59IUpwmNiQnJyIWpCYEgKrM2rVsvmjbVj4Xn48KW0MDCZ0TiYtHZxQXy8qZ1mxCmDKFqqdUrmxoIAE47zweq1ROdbl4fCefvPNMsMceS3TNLlggh/0WF7PZpKFh59lzzY2SEt4/KSnN8/BRavdH+wC0ERx4IO+rV15JNNvsiG3b2AkM8MPRyy/v2cTZwMDgF8OUUw3s8dNPDFfdvJkkSMrn2lVkZrKjc+RIzhHNyrJfV1/PEm5NDR9gQk6cKyUZumdPfuP3yw9bj4dEZsoUlsWcfB2ffsqg3379SG4kxGI/J1pSybemhg9ipfjArauzX+f3U/E55xwSUqmbVGteE4DrJbLndnMqxlFHAcOHy+b95GTGdgwYwPFlTnNETzyR2/H7qXxKePddHuOMGQx2dkJJCTt8m8MwHQ8F7tKFZXinObCtHevWJT4YxGN07JCcnHhvs7NN56CBwe8Q5n+9gT3at0+U1/7856ZHO8Rz4m64wTknLi2ND2OA6p+kiIVCUHfeyW7SFSugJEIDUNk4/3wSFSdPXONtODVK1NayJDtwIAOMpX37/cCGDSQ2KSkygQyHqT6edRbw3HPyMSrFTlyleC7SQzsaZYQGkBhZJSE3l52affs6dyRmZFClnD9fJoUA39s49t9fXldYSL9Xz54kKk7v364gFEpM2XjlFbkjtyURi9F36OQ9BNhkcuGF/MBzyy3yurw83jevvsrO5qb+HzUwMNjjIJZTlVJNNViUaq1N5PeeinbtgKVL+XDMzHT2BNXVJUqGkv+qpISKT0UFyeHSpfaltnCYnqsrr+R2JcKgFMOFvV4awCdPtl8XCpEInnoqz6msTC4FDhnCRgSAzRwSNmwgUQLY3XnppfbXJxzmg9iy2Jn71FP220tP59SJadPYzSqVIOPzYk85hf45ifjk5NCQPGYM1zpFc5SWkvB17UovokTkZszgtAiA5fW+fe3XBYMke+GwM2H+/ntg1Sq+njCB5cOmxFqkpHA02CuvsIO2NUZkbN5MK4HWJHQdO9qvy8vj9I7GHkg7pKfzukkZjgYGBns9nDxxWwE05ePxsQAcalIGrRou1675mcrLae5/+23GhxxxhL3KFo0m4kLC4QQJ2hGxGH1ud93FEt4jj9ivU4rTDV54wTkzzeslAXngAX4fD6K1Q1YWiYXWzg/GAw5gqVlrqk1OM1HjZbFg0JmQ5uRQpVSK10Aiw6NGJba5aZP9Go+HxzhzJsmMpHoGAsx/ystjKfn442Xyc8UV9LtlZlIhldCjB8dahULOExt692bTx7ZtnGrR1PiCtm3pn7zrLp5DS3jZdobiYvoP/X6W6yUSB7ROEmpgYNDqsLPGhtkAVvzCbaYC+PuvOxyDJqG8nGRG8pv9FqiuZikHYCPEl1/aNzr4fMx0e/11mrGdxm498ghLgLNnU6Wxg9YsNX34Ib///nt5e42jPZzyvmbP5sgvgGXdq6+2X9fQADz8MEuCU6aQQNg9dH0+Zuh9+y3jWpzKn6mp9AqefTYVLLsycmoqcNVVVMQuvNC5fPbjj4mGlEMOsSc10SjjLC68kMra8cfL23vzTZL6YJBxLd262a9r145RLZbl3NXcoQOjSmIx3q87y6gLhXgOTvf27rzvfw3intBIhM0h/fu39BEZGBjs4dgZiZuhtXaY8P2/UEq1BTDm1x+Swa/C1q1UpHw+EoumdgVqzYdnNMqHpzQ3LzmZZvItW+jlkTxssRiPb8AAet7mzbNf5/GQ8Iwfz/mlEtlzuRKdeC6XrFwBLLOlpbGMK5VSgZ83FDgpOatWJRofHnqIcR52qK1labFXLyqBcbK7IwIBhvKGQiyDfvCBfXdldjZwxx0sk/r9MkkqLSW5zs/nuvgIsx0Ri5EkFxfzq7BQHvF02WUsibvdzlEk8fthV7ArXc1FRYxJWb+eWXvXXrvnqlSXX061OjkZOOmkpm+vro5kfcMGxvc4kWYDA4O9Ek4kbiyAZb9im/Xb/+0Pv+qIDH4dnn46QYxmzWL5qykoKqKKU1DAsVVxgrgj2rdnidKy+HPJf+X1kkjMnEnCIuW6KUU16uKLSSQlhSY1leWzY4+louEUCRIMcp9paSQ0Enr14rlqLXu+ABLRhQu5TinZm5aVxYfr/PkcVi91f+7476XtVVVRwZk4kSXIESPstxkvVYfDJF3S9lJT+b7OnUtlrFMn+3UAlc5jjqH6t2SJc4RHMMh9OpVIS0rYiLBmDfDXv8oZZ7W1JHAAPYOXXNI6SVxZGe9/J/I/dSoVXIDhqfF4kF+L+DxiyyJBfPhhk6pvYPA7g1jD0Frfp7Ve/Us3qLUObv+3DkMqDZodRx1FQuF2s3zWVBQU8AugWVwqQ5aUsBy3zz4suUlm9txczmAtLGRHp6QauN1UFk4/nft1IiB+P43+7drJjRduN9fOnElvnJOKlJZGr1u8m1RCLEYCdfjhVEAlFbCujg/qZ54hKZUIZFISydl999FbKGV91dby2l16KfDZZ/J7YllU6664gmNzpE7bSIS5eV9+yVKyU0nztdcSeXZOExtKSthBe+mlzl2YmzZRkb33XuC22+RzycykDzAnh0qmpAi3JNato3/zyiupgkpofO85xbnsKurrE/7IwkLZZxqH0wg7AwODPRIm7HdvwcEHs7TicjXPiKAuXai8rFjBVH8pu6yuLhHtMHEicOaZ9kpJKMQu0mefpfKSkSGTH5+Pfq6KCrlpoKSEZcw776QauGiR/TrLYmlx0CCSFqcHXU4OFS7AuTS1alWCkM2cyQ5Qu+NMTQXmzKE6UlAg7zsS4bqMDF7Lk0+2X+f1ssv2oYd4DaXrF4slwnsDATmMuKGBJCozk+RjzBi5DH/LLdy3ZbGTVsK77/I9BoDu3Zn5J51LHMnJ8jHm5rLzOBzm9ZHK6y2FhgaGG3/9Nb8uuYQfLOxw6qlUO5OTGbcjoaqK6mNVFRtUJNWzY0de68WLgbFj5f+j1dX0js6axc7d3r2dY2IMDAz2GPwiEqeUcgE4BsC+ALIA7PibQGut7SP2DX5bpKfLv8R/DfLy2IQQDvMhIpGp1FR6lubPp19JUpHKy/lwCwS43bVr7QlDcnIiW83vl3OyQiF6xwCqEBUV9l6saJQdrJZFwtm1q+yLi0QS0SJO2Wr9+lH53Lbt/9m77zApq7MN4PezvVKWXcAKaihWUFFjjS2xt+j3iS2xRaPp6qfRRKNiiSUmxm7ExBqNxgb2EiQKGBFFRYpUKdtYFthez/fHPZNZ1znv7jKzOzPs/buuvZjdeXfmTGHfZ55zzvNwh6wvAGlvZ1C4dCk3I/gyXe3tvL2yMtZN82Ufw0HoDTfw8foybJmZfMx3383pZt/U9YABPKnfeCMDs6C1bHV1XKs4aBA3qPjsuSenmtPTg4v4Dh/OPrGLFzPTFtRpoKCA78OgKfNEyc7mh52XXmL2duRI/7FDhjCD25V587jLG+Amn5//PPpxRUUMGoNqBgIMBidO5OXPP+cHhaCMtIikjG4HcWY2AcAzALbFN4O3MAdAQdzmojuti4YN41RbeztPsr6TcVoag8yGBmZUfJmAujqW7Zg5k7slfYFAQQE3P/zwhwxAfJmzjAzuOJ00iZmhoKnm5cvZ4cA5nuh8a8SyszlFmpbGQMoXJK1fzwAO4HooX2uwtDRONU+ZwqB13339Y5w8mVmVAw9kkddo2tqYmdlyS2Zq9tsv+nFNTcwiTZ3K7485xl/24q67Ihsgpk3zt4IqKGB2qr09OCO8xRa8/jvfCV7jVl7O3b3TpjH7OGJEcnUmSE9nMezvfY8fQOIxTdpxSnblyq6P7+r5yMjg61Jby/d00CYgiV1TEzP1hYXJlzmWzU5P/ho+AGbffgJgdwDbRfkKqJAqm6WyMmYDRo7kFKhvTdywYZxueuwxboTw7UxsbmbG56mnuNbOl+UyY0bojjuYCfRV6G9v51qqKVOYDfvsM/9jmT6d99/SwqDBx4wB1M03M3D1jXHwYE4x33wzd4H6spktLWxRZQZccUVwt4g33uC///63P2O31VZc5N7WxiyOr/RGRkYk+5aeHrwo/6yzOM09eLA/KATY7urQQxlkhtdU+mRnd71Joa6OweWttzJgX7Mm+Pi+1tbGLNyOO3KKtKsetN2x//780PHzn3OK26e9nVnoFSv4gcFn6FAui5g6lTvX47HcorvWrOFyjLfeir11XyqoreW09ZFH8u9h0EYqkTjoyXTqTgCudc7d31uDkRg0NHDKMlw4NtZPgBs2MOD5/HPgpJP80y81NZFabbffzvVc0U7MZsFTmWFpaQzwli1jUOELfAYNYvD4pz/xpOcLVMItqo49lpnFoFpip53GnZfOBe8c/PTTyFov55iliraxwjmeXGfMYKbGl7HLyeGGhZkzmQn0ZUrMGBDedRcfky+bWVXFr4su4vugoSH6ruHcXJYsOfpo1n0LOrnvuSezimlpDAp8/vOfSED99tt83LFIS4tkPLOyki+L1NjI4Mg5/l9Ytqz7JVZ8SkrY/zVodzbAD1C77871oQ88wA8/0Z6fzEy+vr7afr1l/Xq+T19/nd8vXZp8RZjr6rh84/PPOS0e9N7ujpoaZqnb2vgh9PDD47vMRaSTngRxywB0sf1JEmbuXGak0tPZTzFo4XR3VFbyBD90KFtk3XFH9OAsO5uZmRkz+Ecr1pNscTGzdbNmcVrVNz1bX88pytWruf7LNwXpHDN/l13GoOfjj/33nZXFwNC54CC4YxZxm238wdnGjcyoACwc/PTT0Y9rbWWwU1vLk/Lzz0c/bsgQBponn8yx+qa7GxoYWKelMTN0xRXRj2tu5o7icDut6dP9J9nc3EhQ7QusAT6OPfdkcPODH/iP664hQ/jemjmTjzsea7lKS7kZYNw4Ti/GMj2bn89p/RUr2K0iqDRNT5h1vflg5UoGcABfx1NPTa7du2aRDzdmyTUNHrZ2Lf/Ptbdz3eCDD8YWdKWnczPKhx+y9JHvb4NInPTkHXYzgKvNbLJzLiB3LwkxZQqn5VpaWC8u1iAuPZ0lIObNY3kMn6IiBlGNjcxyxVpkOCdM8wAAIABJREFUODeXmakJExhI+Up9NDSww0G4jVZ1dfRaY85FenQ6x5OtrzH78uUMIp1jRsW3Piwri3+ky8u5EcI3nTpgQGQt0vjx/jIozvHxAMyA+k7eubk8Ea5bx8fqe24yM5kBmDSJC+l9064NDXzfhNftrV7tf8yrV7OERrjUhy9jkZbGDRVd1Ylbt44fPCorWSTad3uFhdx5vffe/tvqiYoKPieffcaM19y5sb9nd9wRePPN4DqJvWG77TjV/NlnfE2SLeMzcCAzhIcfzv/PfTmN213NzZH/v0Gbhbpr6FD+n6qu5t/DWDN7Il3odhDnnHvMzDIBfGlmzwNYCaDzO167UxPl/PNZ6ys7myUvYlVfzwKiAIObxx+PflxBAUsWdEdbGwOaggJ/Nmf1apbtuOYanqBuvpnZrs7y84F77uHasPx8/zRpejpvq66OGbSgnqgNDcxmOheZAopm8GB+wh44kAGn79N2YyPX1pWX8zjfur2sLO7UfOEFPue+bMrq1az0//HHfM7ffjt60NXezg4LixbxmJNOin57AwZw7dzDDzP4CJpu+/3vOeUL8KQc3u3Y2aBBPBm2tARnhaqrmW1dupSFbwcM6Jvdp21tzMQBHKcvAAciU6Q5Of4AHGDQnYiT9dChwKOPciF9cXHyZbqam7k8YepUZlL/9KfkCzSLi5khf+894PLL4xOEDxum3b/SZ3qyO3VXANcBGALgfM9h2p2aKNttx8r78TqhZGVFuhEMHBj7J9S6OgYUd90FXHopdyVGy9S0tLDkxfr13Dxw7bXRb6+xkcdOncrOEr5Cpi0tnJ689FIGaZ9+6s82zZkTOanPns3yHL7b/O53mdV5/XV/JiecUXSO62Suvz76cWlpDMomTeI6J195k/b2SFbxyy+DX5Mdd2QQN2SIPwAx4/V5eTw+aOpnv/34vmps5LShT1FR9zIuZWUs8gswsA/XlotFays/fBQU+AOa4mK+ZrfeyvVavuC/vZ09Yi+9lJm7s8/uu0xSdTVf5/XrgW9/O3jHazJmt8I2buR7/sMP+f3VVydfcDN4MGtb/u//JnokIpukJ9Op9wMoBHAxgJkANKWabHryBzLcMsonPZ3ZoQULGHAFrYNqbOTJc+BA/3EbNrDERlsb114tXx49iBs0iCfMf/+b2RnflFxzM0+w06fzpHzqqdGPy8zkTsmTTmIm7p//9D+OU05hoNne7r89gIHgBRcwq/DyywwiowVAmZmcrisvZ+AY1Fd21SquYzv9dP/0Z1oas2YPPMDdor5AJS+PJ8yLLuJj9q3vq61lsHDYYXzt1q71BzX77gv89a8MGmKdfgR4O+EPCVttFftGnJoaTq9Pnsy1nPvsE/02MzO5ZunRR4Oza2vXck3fxx9zR/AJJ/RdwPT558wIA1yL+qtf9c39xlthId+Ds2cDY8cmb8DZ3MxsZrJlCUW6oSf5990B3Oycu985N9c5tyLaV28NVOJk7Vo2Y7/sMgYXPkVFPOHl5fGk7fsDV1HBgqTHHccpE18WySwyXTdqlP9+nWPLptNP5ziDuhLsuisvhxfdR9PayhPhqlU8mXz0kf++Fy7k9OKddzKL5bPHHszaPfkkszm+wLWqiutjSks59bthg3+M6eksobFyZWR9XGft7by9I45g1tU3FZiVxdfv888ZXPuC9fD6ycMOY6AbtCnl1lu57uvpp4OL/XZXYSFvb/JkBsRBHxK6Y8MGbvp4800GXOvWBR8fFMABDAB33pmXgz5M9ERDA9+Hq1cHF5Ouro5cDmpdluyys7kZZeVK4F//8pcVSqSqKpb/OfXUSI9ekVTinOvWF4AFAC7t7vHJ+rXnnnu6fm3KFOcYKjl3ySXOtbfHdntffhm5ve23d27FiujHlZU5N3Omc88959yMGc6Vl0c/7quvnNt9d95eXl7w7c2b59z773MMK1dGP66tzbkXX3QuLc25wYN5rM+iRc5tvbVzW23l3MKF/uM6PoenneZcfb1/jMuWObd4sXNLlji3fn304776yrmjjuLt/e53/seyZg1vb+lS/rtmjf/29t6bt5eRwWN947v+eudeecW5Rx5xbs4c70N277/v3KxZzv3nP84tWOA/rrveece54cOdGzvWuRNOcK62NvpxGzY49+abzl1xBR+XT2mpc9tsw8e8zz7OVVTEPsaKCj7mlSuda2mJ/fZmzXIuM9O5/HznvvjCf1xlpXO33OLcZZf5/59IfMybF/m/fNBBzlVVJXpEIt8AYLbzxDQ9ycT9HsCFZhZQaEuSXseyFFtuGXsPxezsyCfs3Xf3r6sy4+aLH/0I+OlP/bfnXKQZesedY51lZDDDdc45kfIhvtvbYw9+yv744+D2Ts88E8mU+MqBAMwkhqdGDz3U/5hbW7km6OyzWfTU1zu1Ywuxe+7xH9fWBtx3HzcC3Hab/7juvqZZWZx2PPVU3m9Qv9iyMq7P2n//+DRS32knPo81NZz+9BX9ra5m2ZJbbmF2tqrK/1imTuV0+V/+EpzBnT+fU/EffOAvTg3w+dhnH5YhiUepiFde4RTtySdHdlVHU1zMRfa33prcuxvj8T5ItIEDI1nWXXZRhwVJOT35y7QlgBoAS8zsWWh3amoaO5bTnuvWxadsQ0kJT4alpTzZRSvzAfBk9PbbnMIdNsx/ckpP59qrv/+duyB9AUljI0/+ixbx69pro29YaGvj+rozzmCg8OGH/mmdk06KTKEFTfmuXcu1eK2tDPja2qIHDXV13G26YgUfR11d9Npu2dkMVN54g62lgkqR3H47A9t77+WJPprcXHa8+OgjbkIIur1bbmEg9Z//MID1tRp7803+29LCNYHhqezOamsZaDnH9XW+HaptbZyKzs/n/be3R1/jl5XF901GBp/3oHZtu+/O+2xsZNAebafhmjXclLJ6NZ/DhQu77hoRL+efz763hYVsKdeVZG1S39bGtZQ33sj/V4ceGvzhKJmVlHDdb2kp2/L11XtBJE56EsTd0OGydqemqsGDmVGJl5wcVqjvTpX67GwGb0GlJNrbGcyUlgLPPssTczTp6cCJJ7JMxTbbBHdiCFfUr63lOrGxY/3H/uIXPPaVV/zHjBjBjQNffcXioL71XDk53BTS1MRs3M2e/xoZGSy4m5XFHYlBpSJOPZUB7rHH+k/y7e0MjD74gGMI6iv7wx9yvdK22/p37QLMns6dy8AoqO1WZSWD4cZGlkzxBXELFzKLCnA95d57Rz+BOsdsphmDBd+O4dxcPpYpU9gr11dDD4i8/zIz+zZQ+utf+X4B+L6ORzHkRKio4Ptv5Upmr1esSN0gLiur+3+/mpv5YSGok4xIH+tJENfHPVtks7JuHQuS3ncfcMklnM6KlinJyeHJva6OJ2bf9MbAgdztevTRPNH7TtpZWSxlMWcOM3BBzeVfeIEnJIC16sJZuc7WruVtjRnD3akXXRT9uNpaBnAAW/v4pj/DO0PnzuX0nW+XcVoaOz9cey2DPc+JxNXVwc49l5m4P/4R7ssvETVUyczkbbz7bvC0IsDX5fLLu65F9uKLfBwA8NBDzBxGM2YMX4tly9hiypcBaWoC/u//mEE96igGh9EChuJilmi54AIG2b7gceut+SEh3N+yL3dMjhz59XGkqowMBvwrV/L/cH8IaNav54enp57i37G9906+FnDSL/Wk2G+XO0/NLEU/jkmva2xkM3iA0zAXXxw9iCspYRYuL49/JIOmXTMymG3aeefg3X6trVwnFQ6ofI46imNzjpkGn7VrWfwW4BRZUIeFm25iMHXFFf6TXXs7g8fnn2e9tvb26Memp/O+Hn6Y4/MEVC49AxaeQk1P9wdeubkMZJYt4w7koEKnf/5zpD3XU0/5CwMfdhhvt7WVmVKf6mpOpxYVMZs6fnz0gN2M/XjDpWmeeir67ZWVMUP41Vf894UXomcgy8s5xT1+PAPixx/vuym0Y45hUdmcHHb6SDbOcUr9o49YNseXmc3O5q7iDz4I7kSyOdmwgX+zABa6/s9/4lNqRyRGPSn2e7dzzrsi3cwGAXgNQBzn6mSzkZXFk/FLL7GwZtAf/u78caysZGD0zDMMUnwlQVpaIlO0w4czKPSdnCorgU8+4eVly/z3PXo019m1tnLtXHOzv07c2LHMEg0e7P/kHp5CvegiLrovKoo+xtZWTqfusgs3XkyfHv32crIZ7LzwAnDAAcGLtSsqGMyMG8dMlq+UTMeeoCNG+G+vuJiPwbng17ixkZtcAGZegwoXh+vm+TKZ4etWruTlefOCj83LC87e9pYhQ7gxJFmVlzMTXFrKIHPGjOhZ4bo6rlfNy2Pw/PnnwQWJNwdZWfy7VFoK7LZb/whcJSX0ZDr1QjPb6Jy7qvMVZlYE4C1oylV8ios5vdbYyEyNr3l7d6WnR+qutbf7T9rOMdsyZw4ryO+0k/82i4qYhehY0y4aM07RlpYyiPRlCxsaGBxlZACLF/uDBud4e3PnMqDxTfkWFEQq4B93nPf20hoaeNyXX/KxP/NM9NvbsIFrAGfN4tf55/vXzx15JDfEFBYGF0X9/HNu0gC4Buzss6Mfl5/PbM6yZdyt6ZOezjWN06ezh68vqzhwIPDYY7zNq6/2T5MWFUV2fp53XnAWbt06vmdycuJT46ymhhnItDS+/+NRey6e2tsju38rKvw7wwsKuCTi179mTb7+sBlg+HD+bQhv4Ir175dInPQkiDsPwF/NrKbjDlQzGwrgHQBbAPhenMcnm5OgEhab4pZbuPty/Pjg9SkXX8wTclcLkocOZXkT54K7X8yZw0xceAwPPxz9/vPzGfgMGuTP1gHMFobXkU2dClx3XfTjWluZBZg9mz1gfSdZ57jObfFiAID5SkGEN168+SZPzEGBSnV1ZBdpULmNjsVpw5mxaIqLGSCZMUvpC3Dr61mOY6eduDFk0qToxxUWMsN7zDG8HFSA+fjj+X6YOpXT2NHWz9XVsUXctdcyK/Xee7FPn330Eaeb09P5Gu62W2y3F29FRSzk/MADwM9/7s+uFRYyi3rGGcxI9YeAxoyvv6ZQJcn0ZE3co2ZWCOCuUEbuHjPbGsDbAAYDONQ5N7e3BiryNWlpzOytW8epQ9+uxXAm55e/5OWPP/bfZmUlM1wAT2a+HWvhhu01NdxcERSc3X47g76g3qDZ2cxqLF7MzIYvQ1Nfzx2a69czcJw/P/pxGRncmFFXx8DPFyBlZzNTduyxDDSDpl3ff5/TrgADmjFjoh935JF8LPX13GTgU1zMtWnNzf5NCAAD4cxMZtmuvz54jOvWMfvZ0uL/wOAcNxisWxccqNfVcXc0ACxdyk0qsXrtNQbB7e18PpMtiMvJYeeOffftui7ewIHBr5uI9IkeVbAMBW4DANwZCuh+BCAXwMHOuS96Y4CS5OrrOYX25pvs59mdrfpdaWjgVF9enr+d1tChnIKcMYPrtXxTOq2tkVZbbW0MlHw1zl57LTJF++qrbF4fTWYm1861tgYXJN6wgdOUAHD33cDBB/tv76KLuIN19OjgTRoFBQzigtZzZWQAn33GsiBHHMGpw2iqq4FrrgEeeYSPYeFCf/DTsSXRqlX++25t5WtWUNB1MdisrK53uzY0MBsGcEPJiy9Gz/yUlzOgnjEDOPNMtk7zTak++CAf65gx/ozdoEEsqHzuucxWBm366K4f/pDt0nJzI1POySgehY1FpE/0+H+rc+7mUAB3E1jw90Dn3JK4j0xSw7p1XKzd2srsz6uvxlZlvqGBmbPLLmND+quu8k/XbLkljwlixunJykoeH1Tg+Pjj2TvVueCdlbW1rPMV7ss6enT044qKGGAuWMAivr7Aq6mJuwE3buTC8kcfjX5cZiaf3zfe4LScb3F1QwMLIVdXM0vpm55tauL0YnhTQVCZkUsu4XM4ZEhwmZYpU/iaAXyefLXxqqpYbmbePAZLvpIb4UB+40YG377sT0MDAziAu3xvuil6ENfezmxhdjaDwoULo99eVhaD7jlzeGxQHcKyMk697rQTdzj7gseZM5n5bGlhFnWHHfy3KSLSDd4gzswe7OJ3a8B+qldYpMSCc85dGKexSaoIv/5pabEXT12/nutxysoYIP3sZ7GtuXGO064TJzIQ+PRT/+7UkhJm44DgQHTFishGio8+8ndsaGpiKZJBg5gZa2z03+ZLLzFzF7TrLbwD8/jjgeXL/YFFZiY3C9x+OwMf3/Rsfj6D1uuu42sXtMOwvp7roDIygoO9vffmMW1t3MHos3AhNyAAPPaRR6KPc9gw4Isv2Glh5Eh/ZjYzk4Hm44+z7pwvm1RSwg4QX37J9U1B762amkjg6ltP2djIXdLhwHv2bH8Qd9xxnBbOz49vwW0R6beCMnG+rgwddV6I5AD0KIgzs8cBHAYgH0AZgFudcw+FrjsMwD0AtgXwAYCzw/XqzCwbwH0ATgFQH/q9O3py3xIHQ4Yww/CvfzFQinXzQm4uF6dPnszMRlc7+GpquJbHt7EhLY0B2dln83LQmrhHHmGGxIylQ668Mvpx48dzF+mqVcDvfufvQJGRwcX2TU2cav7+9/33fcopvL1jjvGvn8vIAKZNY5bwvPMYrERTVAT85Ce8z7w8/zqy9nbe3nnnsWzItGn+8bW2cnw5OcFZqdGjuYasvT24kG5JCV+P9nY+176gK1xYNqibBMDH+OMf83XOyfG/JrW1zP7dfDMX5m+/ffTiwRs38vWfPJmP47PPoreUS0v7+m7doPdrSQkDzc1BaSk390yYwCUUmoIVSQhz4RpMiRqA2c4AFjvnmsxsLIBpAI4BsALAEjCYnAJgEjh1++3Q790M4AAAxwMYDuBfYJD3WtD9TZgwwc2ePbuXHo3ERWUlg7O8vOAdk19+yQ0LBxzARfS+rEplJU/e6ek8yfoCzenTgUMO4eW33opc7uy99yKZmTlzWLstWgZt2TJmFJcu5S7arbaKPm24bFmk+Ovw4VxHF60W26pV/Hl4Dd6KFdHXIFZUMHO2bBkDj8LC6AHI+vXM2L3zDr+fMcM/VfrVV8zAmfGx+3rkdlddHR9PWRmLNfuygPX1XMf44YcMcH3vh5UrWeR31SpOST/zDNuxRXscO+8c2aiwdGn0cjLl5VxPGN41vHChf9q8spIZ3O23Zw2/WBf8O8f7d47PS7J1Bqio4GsxezbfC/Pnx/5+EBEvM/vIORd1kXYXq4p7n3NunnMuXErfhb52APB9APOcc8845xoBXAtgXCjQA4AfAJjknKt2zs0H8BcAZ/fp4KV3lJTwhBgUwK1bx7pmr7zCNVjl5f5jq6uZdfnlL4M3DeywA9evzZ/vP2EDHFtDA7M1QYU/MzM5VZidzZOcLyOWmclp1/32Y3mHoJP26afz3xNO8E9dNzUxK3XooVxr53vMhYV87vLzmVEJ6iKwejXXAR5wQPC0cHfl53NjwXe+EzyNW1XFcirnn88s27p10Y9zjmMEGHD5npvMzEjB3R139L927e2czt9/f9aVC9oVW1LCrOf++8dnx+bKlXzMo0czAxgP5eUM+n3PX0+0t3M9IcBgPKhQs4j0qoQHcQBgZveaWT24xq4UwCsAdgbw35Ilzrk6MDO3s5kNBrBlx+tDl6M2uzSzC8xstpnNrqys7KVHIXHT2MgMTU2N/5js7Ehv09xc/8mzsZGlKWbO5IL3mTP9t/nWWzxxjhkDvP66/7iGBpY02X9/BgxB2eyKCmYsmpv9AUO488Ndd/Fk69vVmZnJOmlffgn86U/+YM+MGScgUtstmvR0PoYvv2QP2KCSG3/7W2QjRHgDQSzq6xlUfPxxpMBsNO3tkSChttb/XA8eDDz5JF8XX8stgOvgwuVZ3nzTP02blsbHecwxDIJjXevZE9Oncw1gbS2D+liVl3N94siRXAMZ9P+qO4YO5Yenc85hBrIv+8+KyNd4gzgzW2pmx/f0Bs1sUOh3A7awfZ1z7mIAhQAOBPAcgCYABQA2dDp0Q+i4gg7fd74u2u0/6Jyb4JybUBLvgrMSXw0NPDEceCB3GPpO8Pn5XJA/cyazZ75sTk5OZIF9x8AvmuxsBjOvvBK8tmnuXJ4InWNg6OvJWl/P6cpbbmHBYd/JMyuLi+2PPpqXfeVSmpu5a3fUKGbafBm2nBwGKt//PnDvvcGZvZwcBjZd7Si+7DLuPH3hBe6MjVVZGR/HHnsA99/v77gxeDBfj8suA554wj9lXljIdYXPPsv3TlDmLC+PQb9v3RzAgPbcczml/otfxKetVHU1g8fFi5nF9TnwQGah8/IircliUVvLMkAAA92gjSndkZbGLOZDD/H/Vn/o2CCSpIIycSPBzQY9lR763R71lHHOtTnn3gOwNYCLANQC6LwVbQC4K7a2w/edr5NUtn49a6YtXswpxqCsQUkJd/ltu23wSfuAAyLTpEHTXfvuy8CoqYlTm0G398EHXLt2ww3+YCAzM1IHLTfXP8aGBgZb5eXA//0fv/d5/nn++/rr/gxbfT3Htc02DErjMf3Z3MyA4te/js/02Zo1kSB0zhx/9rG+nu27li9n6Zn6ev9tZmRwjVZQ7bn16zlNutVWrKMXnhaMZsst+f4aMSI+fVanTeNmnVGjuLnCZ9ttmaFcvDg+BYEHDOCmo8GDgRtvjF+R3q5q/IlIr+vqf+GfQlm1bn8B+Ahc17apMsA1cfMAjAv/0Mzywz93zlWD067jOvzeuNDvSCrLyeGCcoDTmkHZku5oamJB27FjueYraDp1xgzu/DzpJG5e8Gls5DTb/vsDixb5j8vI4O3ccw+nP32FZTMzueMVYPcEn7Q0lrMYNIhlWHy3l5vLzNXnn3OMsT6HAPDnPzN7tmBBZCNELMaO5U7No49mUOULksJB/K67skZerJ0TGhqAP/yBWdSnngoOmNetY/DYsZVYLObMiVz+IqA2uhkzcVtsEZ9G6yUlfA/Om8fyNMnWs1VENlnQvvBHYrztNV0dEOq7eiiAqQAaABwO4DQApwOYAeA2MzsZwMsArgHwqXNuQejXHwXwWzObDWAY2D3inBjHLL2pqYkn5cJCf1Zq8GAWf7366q53p3ZHWhoXxU+dyinDoMxGx6xM0NrJTz6JHPvII/7Cu1lZLMWw225coO5rDZaRwaxjbi4zRb4MR3Y2N1888gjX2vmew5YWTnXtvz9P3L6pSoBBzPr1DAiDplRPPpkZsfAmiFgVFzMr1NLy9RIdneXnA6edxunmP/859s4Jubmcir7jDtZt8wW4dXW8v+uu4+7VGTNify9efDGzwfn5kfZufUXr1qJrauL/0ZUr+cFCy20kxXiDOOdcXwREDpw6vR/MCq4A8Evn3IsAEArg7gbwOFgnbmKH3/0dWCduBRgA3tJVeRFJoJoaTgXedRezRMccE70+F8A/pPH6Y5qZyfVNzz3HgMF3nwBruq1cySzNaaf5j9t9d36tWcMdr0HTSg8/zI0Df/yjP3NmxkBhxQpurPCtYSsu5sm/ro6BgO85yspilmvyZK4T8y3Kb2vjIvrTTuOi91df9W9uqKtjINXWFjyl2RM1NQwwg+r8NTYyMwqwsPKzz/rLWZSVMSAtKvIHpIMGccr6F79g8Ox7Djv2Tl22jGONNYjbYgtuEElLi8/0rMSuspLBW1MTyxTdcYfW+ElKSWiFRudcJYDvBFz/FoCxnuuaAJwb+pJkV1PDEhHOsbflV18FB1TxNHo0T+xpacE7MIcNY0YMCA7M1qwBnn6awdGXXwb3Tr3mGgaGhYX+pusDBzJoGD6cAU1QRmzoUGbPgqZIc3L4PO+xB4Mk35RcbS1PWK++yjFUVfmfn/324+NJTw8u9ttd5eUsk7JsGbtV7LNP9OPS0xngtbRwbZcvIC0rY5ushQuZ8XzyyeibEdavZyeLP/yBU4sPPRQ9kBs0iMecdx5vNx69U4G+e89L99TURDYmLVzIywriJIVoZar0jYwMFkIFuP6rLyu8Z2YyCxIUwIWlpXW9YLukhO2lRo/mH31fhi0nhwHAKacwA+MLQKqqmAXcbTeWQyktjX5cUxOr5J9+Osuh+NZzNTQwiKur42P2Taemp7PMxiWX8P6DTl6LFnFd2l57xafW2BdfcHNIRQWnVX07JgcM4HH338+Aa4stoh/X0hLpgzprln/nbkMDe7YCDB59mz6ysljDbvZsZo81zbZ5GjaMyzdOOCHSnUMkhSiIk74xdCgDhnnzuD4tlU+Kc+cyo+McM3K+IKm2NhJoLVrk39XZ3BxpBzZ1qn+n5vr1DOR++UsGwRs6V+AJaWlhBvAf/2AmyVdbrbaW2agTTmD9uaDSE489xnFVVzOQjNXo0TyBmjFD61tsP3gwp64vvDB6t4uwAQMYbO2+O/un+nZg5uUxaDVjp42gRf45OcyOxiPzKMmpqIj/n558kutNRVKMGt5J3xk2rHvZsGS3xx6cXlyzJrK2KpqCAta6mzmTC+R9ma7sbC56/+c/ebwvsGhtBR58kFmiujoGLdFkZTEoe+MNZgx9mcW8PC7eDzdvX7Ag+nEAg8GXXuK04gEH+I/rri23ZODa2srb9I1x40Zm1t58E/jZz6K3GQMYtJ13HgOzgQP9U8gDB7KEzQ9/yOfdV3eup9rbE1Nyo6mJwXXQ5hAJlpGh3q+SsvTOFempnBzWdWtuZg0x33TqwIEsl7LLLqxLNqBz2cOQoiKWDrnkEgYWvixldjabsj/2GDcjBNXG+/nPuaMyK4v1xqJJS/v6JoWgXawjRzKIM4tPnTEz/9RoR9XVwJFHMps4cybw4ov+wCs3t+vyGRUVLGsydy6zw5980r1xBCktZdC8yy4MIuMVGHZl7VoG4XPm8N+gtmkisllSECfSU+XlnIrMymKGaOLE6IHcwIGsbL/ddsEL4zduBH7wA2ZVxo9nNi7aFF5DA8uZVFczIzd/fvTba2+PrPVqbfVPp5px8f7o0ZyGDArObr6Zj7tr21JIAAAgAElEQVSxkYHKxInRj2tsZKDkHIOZWBfyp6XxuW1tZSYz1vZXbW3AqlW8XFUVe+Hixkbg0kuBv/+d30+Y0HdB3FdfsWZfSQk/BEye7P+gICKbJQVxIj2Vn88MW1UVp0B91q1jCYOmJq5fGzEiehDS3g785S8M0nJz/YvyAV5fXR28OzU7m2t8Jk8Gvvc9/9RiYyNrv82bxynLPfbw3+Yhh7AQcmYmNyL4LFzInaatrdx8cfDB/mO7Y8gQbi6YPZtlaWJdeF5czLZut9zCtlqxrndLS+OGlLFj+brEaxdrd5SU8DF88QX/jUdhYBFJKT1axGFmPzKzD8ys0szaonwFzMeIJLm1a7ko/tFHg9sxzZvHjMspp7D2nS+bU1/PIG7WLGbufLs629qAM84Axo1jZswXxBUXs1bbbbexhZMvYGho4IaLpUvZQN23UcIMeP99TlG+807wYz74YJYDWbqUmUWfd99l0NrWxk0ascrL4/Ny3nmx12kDGIROmMDX+aijgnfkVlYC//kPsHq1f6o5K4vvg+nT+Tz3ZSZs40Y+L3/4A/C73wVPh4vIZqnbmTgzuxnA5QA+BfAEgOreGpRIXJWWMiu1zTY8cfvqsL3yChe8AyzSe46n3vWee3Iqc/VqTqX5MiAtLcxgtbZyCvKPf4x+XHMz8OGHvPzcc8BVV0U/LjeX2Zezz2YA5lvM3t7OkibLlvH7m26KflxREddSXXABA6Wg4GzgwO6thTv+eE4tNjTwdpNV0HpCgJnTSy/l+sMBA/h6RysyXF/P4sFvv82viRPjE2x2R8f3XV6eepmK9EM9mU49F8ALzrmTe2swInHX2sr1XOGdnG+/DRx6aPRjOxbt9RXwBbhR4Ne/5uXmZuDuu6PvbmtpiWRHKir8wV5BATMqzz3HxvW+KcPqanZ1eOcdZsbMoh+bns62ZZddxsK3QQHL2LHACy/wmK6KnFZU8LaD1nytXMkpWiDSgcKnspLPT3Gxv2NDD7W0xOmmmprYKg1gxsvXpSIrC9h3Xz6HWVnBZVDibehQbl6ZN4+dPNQFQqTf6UkQlw/g9d4aiPQTcTvLdpNzXw9igkoJfO97wJ13MoA76ij/cR2nzIqL/RmQkhL2OX33XdZt8wU/4YKjkybxtn3BVG0ta7qtWsX7nTMnehCXlQWMGcPdnA0NXWedurPObOlS4H/+h2vIHn/cn20aO5ZBbV0dcPnl/tsrK2PgsXQpp1333bfrMQSor+fM8MMP82533TXGqhHFxczCXXIJ1z/6nqOMDAbgxxzD164v6x8OHMjnLcbnTkRSV0/+zL0PYFxvDUQ2c42NXJx+770sf7H77l0HF/GQmclinttuy+mwUaP8x/797wwozJhh8wUh223HAKm0lDXTfEFcuOr/vvt2nSXpzgL7tDQGcgCjFt9OzYwM4PXX2f1h3Dgu5I/VLbcwaAS4I/ess6IfV1ICXHstg+eg6b358/l+ADjd+9RTMbU7qq5m5ZDWViZbP/00xlnNtDRg553ZPzUnJ3jTwJAhfbcjVUSkg54sorgYwNGhzQ1afCE9s24dcPjhDJQOOyw+rZu6a/BgtpU64IDgYsPf/jazZtOmBWc3Bg3isSedFJx5WbeOWZq99+bCd1+Hhe4aNoxj+9nPOE7f2r66OmaRANZDC+rE0F2HH86gMTubaS6f1lYGt6WlkZ6U0YwezfpsaWl8jrqq79aFtLRIHDx8eJyWh5kxu6Zdn72vvJzZ6H/8o2//NoikOO+fOjNb1PELwKsAcgHcD6DezJZ0PsbMFvbVwCXFpKVFshVDh/btIuz332ex3V124Zotn5135maAZct4OVbr1jEttH49M1kbN0Y/rr6euyCvuQZYssR/exs2cOdsZSXXnflub+DAyNTs//xPfHZMjh/P7ON77wUHrkuWcEp1hx0ia8qiKShgQPrppyxJEuP7YdgwJvZefJGJR198K0motZXZ2Msv5wagoM4hIvI1QdOpawB0rhK6GoCnwqhIgOHD2ch89mw2Ue+r9lstLQx42tpYQuPjj1mvLZrly5lhC3cHiLUm2ZAhDGaWLGExX18wVVkJHHggp3D/8Q+2y4rWXqqlBfjTnyKbLoJ2sZ54IjdwZGfHp6n3yJGR3bBB85TvvAPU1PDyM8+wnEc0y5ZxSh1gjbN7741pej0tjU+ZrytXr6qqYuZx4ECupYsxq9grysq4pKGwMPmmfs2+vk5WLbBEus37v8U5d3AfjkP6g6237tvdewBPDuESEMOGcWrT5403IlOAr78eXPy2O4YOBf71LwZfeXnBJTrCmaiMDH+HhZwctr5qb+dXULCQnx/TGrNvyMzs3iKzY47husOGBk6T+nTMvPXlRpd4a21l+ZorruC064IFwaVaEqGsjAH9/PnMdv32t8nVazU9nc/f6NEsAxS0blVEvqYndeJ+AGC6c2655/oRAL7jnHs0TmMTiY9dd2WPzPT04Hm2iRO589I54PTT/cc1NTF71tzMhVi+TQlZWQwcm5uD20/l5HDN3BtvBPfeNOP04223AT/+MXDQQf7bTJRttwX+/W8+h0HP9bBhrMv35Zec8u2LTS69obmZWdvw5VWrki+Iq6uLtGh79lngV79KriAO4BR9MtcVFElS5nyf+jsfaNYG4Czn3JOe608F8KRzztMNPDlMmDDBzQ7vihPprLyc/wZN9y5ZwvV1jY0sqhsuENxZVRU7Jvz735wGHTPGf5sbN3LKNz3dP+1aVsa1feHp1FWr+H0qWrCAAevgwVwTd8MNqZuRW7aMAciYMdyZW1yc6BF9XWUlM3Cvvspp66OPDm7bJiJJxcw+cs5FXZvSk8UHXXWezgegvi+S2rqzVm/hwkiD+ddfZ9YuWgBSWQn85je8fN55XHXvy7J1Z/NBZibw/e8zm3LEEcG7Jp1jOZLc3PitMVq7lrcVj/6gNTXMKgIMRNvaUjeI2247rv/LykrOgrslJcAdd3DzwKBBCuBENiOBf93NbBcAu3X40X4WvTbVILAEyeL4DU0kSe21FxvfO8c1dr7go7CQJ/X6ek7pxjplOGQIMym33x5pwRVNWxvw+efsKnHiicx4+QKv+nruek1LCw5gV6xgsFpUBDz0UOwbU7bfHrjvPjZvv/LK1A8s+rLx/aboTh1CEUk5XX1EPxnA70KXHRioXew5tgHAD+I0LpHk1d7OadLVqxnM+aSnc63bqlVcKxaPsird6Qiwdi0Dt4ULWW/jiCOiBxltbSzgO2cOF+ifcYY/OPv979niCeAO1NNO2/THADAg/fGPGQj7ihaLiEigrs4qfwNwCIBDwenUm0Lfd/w6GMBeAEqccwFnNJHNxOzZ3IQwbx7XQLW0RD9u3ToWDT7nHOCii7hjsy9kZbFWG8AMjG/aNdz14bHHuPEjaHxHHMF/MzPZBSJe+jqAc45r2G67ja+f77UTEUkBPdnY8EMA7/p2p6YKbWyQmC1bBuy2G9ecPf00u0FEU1nJRvQzZ7Kp5/jxzM71hdJSYPFi1sTbaqvo91tdzbG/9Ra/nzWLmwyi2bCBQWlmJrNoyVgLrTvKyhhYL1/OEiyLFrEdm4hIkorLxgbn3CMdbnAwgJGhb1c459QnRfqPrbfmVGVLS/BaqJIS4NZbuQliyJC+C+Bqarje7P77WXfr5Zej13jLy2P9sLfe4vq9oJ2uAwcya5aenroBXFh4d283P8CKiCSrHm1bM7P9ANwG4Nudfj4LwOXOuffjODaR5JSZ2f3szYAB8Wl71RN1dax3V1nJL1/v1OxslsY45RRmpYLW261ezTVsxcVsIZaqfa2GDeOaviefBE44IfnKgYiI9EBPiv1+F8BUAPUA7gOwEFwnNwbAaQDeMbNjnXNv9sZARaSbBg4EbryR6/COOCI4iBwyhMd3VYbk978Hpk7l5aOO8k8hJzsztkK7+upEj0REJGY9ycTdAmAFgP2cc2s7XmFm1wKYCeD3ABTEiSRSbi5w/PHAIYdwU0NQ79RVq4BrrmGP04kT/cfusw9w993cYTt6dO+MW0REeqQnNQ92BPBA5wAOAJxzlQAeALBTvAYm0m+0tbEO29SpXHgfD/n5XAcXFMDV1AAXXwz89a/AT37CgM7nmGNY023xYuBb34rPGEVEJCY9ycStAhBUkTMLwMrYhiPSC8rLgbvuYq22k0/2d01IlIoK7lxdv54ZrylTulcPLlYZGdykATDDFjTtGtQjVkREEqInmbjbAFxsZjt0vsLMRgH4SegYkeTR1sa+nDfeCFx4YaTVUzJpbWXvVIClQdraYr/NZcuASy7hIv7a2ujH5OYC113HoPGzz/omcBQRkbjpSSauGEAFgC/M7GUAi8AuDmMBHA1gHoASM7uqw+8459zN8RqsSI+ZceF+WEFB4sbiM3gw8MIL3DF51VWxB1MVFeyx+sknwJ13MqDzPe6SEuDYY2O7PxERSYieBHE3dLh8YpTrx4e+OnIAFMRJ4qSlAb/4BbDLLsAWWyTneq6CAuC447puat9daWmRoC0zMz7tviS1tbayI0dBQXy6ZFRWMnscXnspIgnRkyBuu14bhUhvKinhzstkF48ADmDts6efBl59Ffj2t1ULrb9bvx546ilme3//e2DXXWMrPF1dDVx2GfDoo8DOOwNvv+3vuSsivaonHRtW9OZARCSOttwSOO+8RI9CksH69awZCLDd2LRpsWXPGhv5AQFg/9nGxlhHKCKbqMfzLGb2LTP7kZn9xsxGhn6WZWbbmlmcUgki0idqa9mNIV6lTbqrvp5lVebMAaqq+va++5usrMjO4h13ZKeOWAwcyJqB220HXH55cq4zFeknetKxwQDcA+ACMPhzYIHf5WB5kc8AXA/gD3EfpYjEX2srMyoTJwIjRwLvv99365vKyoAxYziGG24Arrii664RsmmGDuWu7K++4prQWEvF5OVxDedBB3FNXGFhfMYpIj3Wk0zcFQB+DHZuOARsuQUAcM7VAngO0Tc8iEgyqqsD7r+fDeGXLmVmrK+sWcMADmA2rrm57+67vwnXA9xvv/j1vM3NZcCvAE4koXoSxJ0H4FHn3G8AfB7l+s8BjIrLqEQkuooKlgypqIj9tgoKgF//mifk3XdnNq6vjB0LXHopO0HccQezOyIi0iM9mb/YFsCtAdfXABgU23BExGvtWm5WmDqVU1nPPhtbTbn0dOCAA4AlS3g5Xlma7igu5jRqS4uyOSIim6gnQVwlgC0Drt8NbM0lsvlraWFnhZygTnS9cJ+vvMLL06fHZwoyN5dfieAcv0REZJP0ZDp1KoALzOwbH9fNbAI43fpivAYmkrQqK4FrrgHOOYc7O302bmQNrRtuYDutWOXnc+pxq614m0FTkGvWsF/s3LnJWQKishL4zW+AU09l2QsREekxc938JBwK3j4AkA/gFQBnAXga3Jl6PLhLdR/nXPUmDYT9Vz8D8Kxz7szQz04HOz4UA3gTwLnOuXWh64oATAbwPQBrAVzpnHuyq/uZMGGCmz179qYMUTZ3LS0MLgBOU2ZmRj/ujTfYXQEAzj4bePDB6McuWwZsvz0vH3kk8Pe/A4NiXHFQWwvU1HA9m28acu1a4PjjgZkzWV5i6VIGfsnkvfeAAw/k5ZNOAh5/XOviRESiMLOPnHMTol3X7Uycc64CwAQAzwM4DtydOhHA4QAeAbDfpgZwIfcA+LDDoHcG8AAYLA4DUA/g3k7HN4euOwPAfaHfEdk0ixYBo0cDo0YBCxb4jxs6NNK6aIcd/MeZRY7LzAxud1RezrVp4SDSp6CA7cOC1pG1t0emWtva+H2y2XLLSOC7117x61YhItKP9Kgwk3OuCsCFAC40sxIwCKx0zsV0ljCziQDWA5gBINzc8gwAU5xz00PHXA1gvpkVAmgHcDKAXULlTd4zs5fAgO/XsYxF+rGpU1l2AwBeeontiaIZMAB4911mvEaO9Nc3y8wEXnwR+Phj4JRT/Jm98nLgkEOA+fOBM88E/vzn2Gp5DR0K/POfwEMPMQNYVLTpt9VbttgCWLwYWLcO2GYb1YgTEdkE3Z5O7bUBmA0AMBvAYeC6um855840sxcBzHDO3dLh2FoA3wGDuBnOudwO110G4DvOueOi3McFYJFibLvttnuu6Mt6WJI6li1jMOUc8M47/ixbfT0zZnV1rJXlC5K++AI4+WQeYwY88wwwZMg3j1uxIlLeo6SE69i22CIuDylu2tr4mM3UJ1NEpA/FPJ1qZiVmdp2ZzTKztWbWFPp3lpn9LpSV21STAEx2zq3s9PMCABs6/WwDgMIurvsG59yDzrkJzrkJJbGUZJDN28iRwKxZwAcfRNayRZOXB4wYAey0U3CWa+hQ4PDDucHhD3/wr4crLASuvJJB4333sa1RsvniC2CXXYD99wdWdv6vKiIiidDlHIaZHQCugxsCoBHAIrAmXCFYVmRvAD8xsxOdczN6cudmNh5cU7d7lKtrAQzo9LMBoftuD7hOZNOYxbftVHExcPPNQEMDg7309OjHFRUBP/sZa8AVFvbtAv/GRjZIT08Prjl3993scVpVxankM8/suzGKiEhUgZk4MxsM4FmwT+pZAAY458Y75w50zo0HMBDAD0KHPxs6vicOBjASwFdmVgbgMgAnm9kcAPMAjOswlu0BZINB5CIAGaEdrWHjQr8jkjwKChgc+QI4gH1EDzqIfS1/+lOuE+sLbW3AjBncyHHMMVyb53POOWycPmQIs3EiIpJwXWXizgdQBGBv59wnna90zrUAeNzMvgDLj5wL4A89uP8HATzV4fvLwKDuIgBDAcw0swMBzAFwPYDnnHM1AGBmzwG43szOBzAewAkA9uvBfYskh6YmLvIHmOVqavIfW17ODRVDhsSeNaytBW68kf9++CHX5vnWu40ZAyxcyGxlX3Z2EBERr67WxB0B4OVoAVxHzrk5YDHgo3py5865eudcWfgLnEJtdM5VOufmAfgxgCcAVIDTtxd3+PWLAeSGrvs7gItCvyOSWgoLgUmTuObs4Yf9O1MrK4HjjuNxhx8enDnrjrw84Ec/YmA2YgR3ifr8+99cMzhqFDeAiIhIwnWVidsJ3c+svQdm0jaZc+7aTt8/CSBqAd9Q0d8TY7k/kaRQVAT86lfABRdwU0N2dvTjWluBT0Kfp774gtOhscjMBA4+mFnAjIzoO2fDXn2V/zY3s2TKjjvGdt8iIhKzrjJxg8Geqd1RCSDGcvQi/VR+PqcpfQEcwPp0Tz0F7LMP8MgjsTeOb2xka64ddmCR46DM3hVX8H6PPBI49NDY7rcn6uqA2bOBO+9kKzEREfmvrjJx2QBau3lbbWALLhHpDfn5wLHHchPEgAGxdzlobmbg+O67LIOycaP/2JEjgSlTuEGjL4sHr1sHfPvbzDq+9BJr7SVj8WIRkQToTpn0UWbWnQ0Do2MdjIh0ISuLpUviIS8P2HprFjjefntg2rTg4xNRY9G5SNuw1lZ+LyIiALoXxF0T+uqKgaVIRCTRKirY/3W77dj9IVpbq7o64N57GSQtXgysWgVstVXfjzVIURGDy2nTWEcvaN2eiEg/01UQd06fjEJE4qe6mrtOX3qJXSLmzWPD+c4KCoDLL+c06qBBkdZfyaSggNPHBx2U6JGIiCSdwCDOOfdIXw1EROKkuRlYtIiX16/n99Gkp6Ny/Hcx7bLDMWq0YYe8tOh960REJCl1ZzpVRFJJcTHw9NPAVVcBJ57o7dna0ABc9ds0PPQQS8UtXhyw4bWqimVNBgxgTTlfH1gREekzCuJENjfp6cBuu7EcSU5O9PVw4D6BylABIeeA+vqA23zqKbYEA4BZs1huREREEkpBnMjmqqAg8OrCQuCee7iXYa+9oi+b+68lSyKXV6+Oz/hERCQmCuJE+rGttgLuvpvTqYEuvxyoqWGZkQMP7JOxiYhIMAVxIv1clwEcAAwfznIkaWmcrhURkYTrqu2WiAhlZiZ3AFdbC5SVcceGiEg/oEyciKS+9euB5cu5O6OwkB0o8vMTPSoRkV6lTJyIpL6aGhY43n9/4NprGdSJiGzmFMSJSOprawNmz+bl119Xj1UR6RcUxIlI6svNBa68kttt//hHIC8v0SMSEel1CuJEJPU1NwPt7cCttwKffQY0NSV6RCIivU5BnEgqaWgAysu7aK/QD2VmAs8/D5xxBjB/Pr8XEdnMKYgTSRU1NeyJesghwN/+BmzYkOgRJY/hw4F332V/1yeeYP9YEZHNnLl+tgB4woQJbnZ4AbRIKiktBbbdlk1PAWDVKq4BSybt7UBFBTcWFBcrIyYiEiMz+8g5NyHadcrEiaSKzEzggAN4ec89kzNAWrYM2HVXYMwYYMGCRI9GRGSzpiBOJFUUFwNPPQUsWgS8/DIwdGjst1lRATz8MDBrFrBxY+y398YbwNq1nPp9/PHYb09S27p1DOxLS1X2RaQXKIgTSSXDhgGjRvHfWNXXs7H9eecB++7LgC5WRxzB4HLgQOCss2K/PUldDQ3A/feze8aee7IlmojEldpuifRX7e3sNxrW3Bz7bY4cCcydy6xLSUnstyepq74eePFFXi4tBaqrgS22SOyYRDYzCuJE+quCAuCuu4CxY4E99ojPCTYtjTtFRQYNYuHls84C9tlHQb1IL9DuVBHZPNTWAnV1wIAB7OAgidfSAlRVATk5DOpEpMe0O1VEUlNdHfDhh8Cf/gSsWeM/rroauPNO7t597jn+niReZiYzswrgRHqFplNFUkl1NdDYCGRnA0VFiR5N76uq4qaLtjZgyhTgmWeiP+7aWuC3v+XlCy8EDj0UyM/v27GKiPQxZeJEUkV1NXDDDSzwe8UVDHD6g/CSj9ZWf5mKrCxg3DhePvxwfi8ispnTmjiRVFFWxgCuvZ3fJ2PHhnirqQE++YQttc4+G9h6a/+xZWXMyA0YEJ8aeiIiSSBoTZymU0VSRVYWcP75wIMPAqeeysXim7vCQuDAA/nVFe2KFZF+Rpk4kVRSVcU1cTk5wJAhiR6NiIj0MmXiRDYXiQrc1q4FZs7kLsNddgEGD07MOESkb9TXc4nC2rXADjvoQ2OS0sYGEenao48Cxx8PHHQQ8PnniR6NiPS21auB0aNZqPn++7mxSJKOgjgR6Vp5eeRydXXixiEifaO0lKV9AODTTxXEJSlNp4pI1y69lP+WlAD77ZfYsYhI79tpJ5YyWrgQuP32/rGRKgVpY4OIdI9zgFmiRyEifaW5ma3TVDg7odR2S0Ril4gArrYWmDWLmYCgtlsiEn9ZWQrgkpymU0Ukea1bB+y/Pwscv/IK8Oyz/aPdmIhINygTJyKpIdypQkREACRBEGdm08ys0cxqQ18LO1x3upmtMLM6M3vBzIo6XFdkZs+HrlthZqcn5hGISK8pKgKmTwduugl44gll4UREOkh4EBfyU+dcQehrDACY2c4AHgBwFoBhAOoB3Nvhd+4B0By67gwA94V+R0Q2FwUFnE698srNv09sb2lqAubPZ62/0tJEj0ZE4iiZ18SdAWCKc246AJjZ1QDmm1khgHYAJwPYxTlXC+A9M3sJDPh+nagBi0g/1NLCqvYZGSzBkmzWrgV2353B3EEHAc89p+r7IpuJZMnE3Wxma83sfTM7OPSznQHMDR/gnFsCZt5Gh77anHOLOtzG3NDviIj0DeeAOXOA3XYDjj2WbYqSTVsbS0UAwIYNkQKuIpLykiETdwWAL8AAbSKAKWY2HkABgA2djt0AoBBAW8B132BmFwC4AAC23XbbuA1cRPq5+nrghhuY7Vq7ltOWw4cnelRfV1QEvP468NJLwK9+BQwdmugRCcD3y4YNLOGRbO8ZSRkJz8Q55z5wztU455qcc48AeB/A0QBqAQzodPgAADVdXBftPh50zk1wzk0oScbpDhFJTbm5wDnnsIbe8OHsNZlsCgqA734XuOsuYPvtEz0aARi8/fa3wLe+BRxwQHJmcCUlJEMmrjMHwADMAzAu/EMz2x5ANoBF4Jq4DDMb5Zz7MnTIuNDviIj0jbQ0BkhffQWkpyujIt3T0AC89hovL1nCjK7IJkhoJs7MBpnZEWaWY2YZZnYGgIMAvA7gCQDHmdmBZpYP4HoAz4WydnUAngNwvZnlm9n+AE4A8FiiHouI9FOFhcDWWwNbbKG2ZNI9gwcD993HTNwllwADOk8siXRPojNxmQBuADAWXOe2AMCJzrmFAGBmPwaDuSEA3gJwToffvRjAwwAqAFQBuMg5p0yciIgkt+xs4NBDgffeA/Ly+EFAZBMkNIhzzlUC2Cvg+icBPOm5bh2AE3tpaCIiIr0nOxsYNizRo5AUl/CNDSIiIiLScwriRERERFKQgjgRERGRFKQgTkRERCQFJXp3qoiIpJqqKqCuDsjJUQcIkQRSJk5ERLpv/Xrg+uuBESOA448HyssTPSKRfktBnIiIdF9DA/BkqPLTBx/wexFJCAVxIiLSfYWFwKRJ7DJwzjnszSoiCaE1cSIi0n0FBcCZZwInnMA1cYMHJ3pEIv2WgjgREemZggJl4ESSgKZTRURERFKQgjgRERGRFKQgTkRERCQFKYgTERERSUEK4kRERERSkII4ERERkRSkIE5EREQkBSmIExEREUlBCuJEREREUpA6Noj0Z1VV/CooAIqLgaysRI9IRES6SZk4kf6qqQm4/35gzBh+VVQkekQiItIDCuJE+qvGRuDdd3m5thYoK0vseEREpEc0nSrSXw0cCNx5J3DuucC4ccCIEYkekYiI9ICCOJH+bOxYYOpUIDub6+JERCRlKIgT6c/MgCFDEj0KERHZBFoTJyIiIpKCFMSJiIiIpCAFcSIiIiIpSEGciIiISApSECciIiKSghTEiYiIiKQgBXEiIiIiKUh14kREJDU0NABVVZH6hjk5iR6RSEIpEyciIqnhiy+AHXYAtt8emD8/0aMRSTgFcSIikhpeew1obubXm28mejQiCTFsqIoAAA0iSURBVKfpVBERSQ1nngn84x+cTp04MdGjEUk4BXEiIpIaRoyIZOCGDk3sWESSgII4ERFJHQreRP5La+JEREREUpCCOBEREZEUlBRBnJlNNLP5ZlZnZkvM7MDQzw8zswVmVm9m/zKzER1+J9vMHjazjWZWZmaXJO4RiIiIiPSthAdxZvZdALcAOAdAIYCDACw1s2IAzwG4GkARgNkAnu7wq9cCGAVgBIBDAFxuZkf23chFREREEifhQRyA6wBc75yb5Zxrd86tds6tBvB9APOcc8845xrBoG2cmY0N/d4PAExyzlU75+YD+AuAsxMwfhEREZE+l9AgzszSAUwAUGJmi81slZndbWa5AHYGMDd8rHOuDsASADub2WAAW3a8PnR5574bvYiIiEjiJDoTNwxAJoBTABwIYDyA3QH8FkABgA2djt8ATrkWdPi+83XfYGYXmNlsM5tdWVkZv9GLiIiIJEiig7iG0L93OedKnXNrAdwB4GgAtQAGdDp+AICa0HXodH34um9wzj3onJvgnJtQUlISt8GLiIiIJEpCgzjnXDWAVQBclKvnARgX/sbM8gHsAK6TqwZQ2vH60OV5vTdaERERkeSR6EwcAPwVwM/MbGhordsvAUwF8DyAXczsZDPLAXANgE+dcwtCv/cogN+a2eDQZocfAfhb3w9fRET6RHMzsGYNv1paEj0akYRLhiBuEoAPASwCMB/AxwBudM5VAjgZwI0AqgHsA6Bjx+PfgRsdVgB4F8BtzrnX+nDcIiLSlxYsAEaN4tfChYkejUjCJbx3qnOuBcDFoa/O170FYOw3fonXNQE4N/QlIiKbuylTgPp6Xn75ZWCXXRI7HpEES4ZMnIhI6iovB267DXjpJaC6OtGj2byddhowciSw3XbA//5vokcjknAJz8SJiKSspibgN78BJk/m9x9/DAwenNgxbc622w6YNYuXhw1L7FhEkoCCOBGRTdXWBphFvnfRNtpL3JgpeBPpQEGciMimMgMuvjgyxZednegRiUg/ojVxIiKbKjcXKC7mtGpVFTB0aKJHJCL9iDJxIiKx2GYb4IorgIwMZeJEpE8piBMRiVV+fqJHICL9kKZTRURERFKQgjgRERGRFKQgTkRERCQFKYgTERERSUEK4kRERERSkII4ERERkRSkIE5EREQkBSmIExGRnlm+HJg0CZgzB2hsTPRoRPotBXEiItJ95eXAUUcB11wD7Lcf242JSEIoiBMRkZ5JC506zBI7DpF+Tm23RESk+4YNA155BXjmGeB73wOKixM9IpF+S0GciIj0zIgRwGWXJXoUIv2eOecSPYY+ZWaVAFYkehwppBjA2kQPQr5Br0vy0WuSfPSaJB+9Jj03wjlXEu2KfhfESc+Y2Wzn3IREj0O+Tq9L8tFrknz0miQfvSbxpY0NIiIiIilIQZyIiIhIClIQJ115MNEDkKj0uiQfvSbJR69J8tFrEkdaEyciIiKSgpSJExEREUlBCuJEREREUpCCOPkGM8s2s8lmtsLMaszsYzM7KtHjEsDMHjezUjPbaGaLzOz8RI9JyMxGmVmjmT2e6LH0d2Y2LfRa1Ia+FiZ6TAKY2UQzm29mdWa2xMwOTPSYUp2COIkmA8BKAN8BMBDA1QD+YWYjEzgmoZsBjHTODQBwPIAbzGzPBI9J6B4AHyZ6EPJfP3XOFYS+xiR6MP2dmX0XwC0AzgFQCOAgAEsTOqjNgII4+QbnXJ1z7lrn3HLnXLtzbiqAZQAULCSYc26ec64p/G3oa4cEDknADAOA9QDeTvRYRJLUdQCud87NCp1XVjvnVid6UKlOQZx0ycyGARgNYF6ixyKAmd1rZvUAFgAoBfBKgofUr5nZAADXA7g00WORr7nZzNaa2ftmdnCiB9OfmVk6gAkASsxssZmtMrO7zSw30WNLdQriJJCZZQJ4AsAjzrkFiR6PAM65i8HpiAMBPAegKfg3pJdNAjDZObcy0QOR/7oCwPYAtgLrkk0xM2WsE2cYgEwAp4B/t8YD2B3AbxM5qM2BgjjxMrM0AI8BaAbw0wQPRzpwzrU5594DsDWAixI9nv7KzMYDOBzAHxM9Folwzn3gnKtxzjU55x4B8D6AoxM9rn6sIfTvXc65UufcWgB3QK9JzDISPQBJTmZmACaDn6COds61JHhIEl0GtCYukQ4GMBLAV/wvgwIA6Wa2k3NujwSOS77OAbBED6K/cs5Vm9kq8HWQOFImTnzuA7AjgOOccw1dHSy9z8yGhrboF5hZupkdAeA0AO8kemz92INgED0+9HU/gJcBHJHIQfVnZjbIzI4wsxwzyzCzM8CdkK8nemz93F8B/Cz0d2wwgF8CmJrgMaU8ZeLkG8xsBIALwbVWZaEMAwBc6Jx7ImEDEwdOnd4PfgBbAeCXzrkXEzqqfsw5Vw+gPvy9mdUCaHTOVSZuVP1eJoAbAIwF0AZuADrROadacYk1CUAxgEUAGgH8A8CNCR3RZkC9U0VERERSkKZTRURERFKQgjgRERGRFKQgTkRERCQFKYgTERERSUEK4kRERERSkII4ERERkRSkIE5EREQkBSmIExGJMzNzZnZtH97fcjP7W1/dn4gkBwVxIpK0zOzsUEDkzOwozzHPh65v7evxdZeZjTSza81st0SPRUQ2H2q7JSKpoBHAWQBe7fjDUA/Go0PXZyZgXD65ADoGlSMB/A7AYgCfJmJAIrL5USZORFLBVAAnmFlBp5+fGvr3jT4eTyDnXKNzLmkzgyKyeVAQJyKp4O8AsgB8v9PPzwLwMoDqjj80s+PN7CUzW2VmTaF/7zOzQZ1v2MwOMLMPzKzRzL4ys6vM7JzQFO3IDsctN7O3zGwvM3vfzBrMbKWZXRLlNv+7Js7Mzgbwr9BVj3WYHj47dP00M5sW5TauNTPX6WdZZnaLmZWZWV1oPGOjPWFmVmhmt5rZMjNrDj2228wsN9rxIpJ6NJ0qIqmgAsCbYND2KACY2fYA9gMDuxM6HX8ugDYAdwOoAjAewHkAdgVwQPggMxsHZvGqAUwC0AzgRwDqPOPYFsAUAI8BeBzMBP7BzOY55173/M50ADcBuArAfQBmhH4+w3N8kAcAnA3gnwDeAbAX+LzkdDzIzHJC148C8CA4jbsbgF8C2MXMjnbOfS1AFJHUoyBORFLF42Ama0vn3BoAZ4LB18v4ZhB3unOuvuMPzGxm6Pf3d869H/rx9QDSARzgnFsWOu6vABZ5xjAKwFHOuddCxz4M4CsA5wOIGsQ555aa2ZtgEDfDOfd4Tx50h/HvCgZwjzrnftjh5zcBuLLT4b8CA9a9nHOfdTj2UzAQPBwM/kQkhWk6VURSxQsA6gGcFvr+TADPOOeaOx8YDuCMBphZMYBw4LZn6Lp0AN8F8HI4gAv97loAT3jGsDwcwIWObfr/9u4nxKoqDuD491cbyxSEMkTCdDHSUoTclQZqkYsWoSCmICEYLixpaRFWEIp/kCAwCMwgCHJViChoOKgRKG1CE5mNBSnNKhX8c1z87mPG633DGxzz3ZnvBx6XOffMeefOYvjxO79zLnAGWPAwD9ajVdV1b619T0PfNcBp4O+IeLbzAY5V9197RHOU9D8yEyepFUop1yPiR2BdRAySWbGNTX2rOrEvyIzT07Xbnbq42eQu0j8bhmhqAxhqaBsmlyoftXnV9cLoxlLK1YgYrvUdIJ/tapexZk/w3CQ9BgZxktrkEFnD9jkZUA3WO0TETOAkeezIR2RAdp1cNj1CbysQ0aX9zjj796J0+f0nx/Ed9XtPkH+DT7v0/6u3qUnqZwZxktrkOBmALAM+61Kcv4zMNC0tpZzsNEbEQK3fP8ANMqNX19T2MMbaRDBM83Lsi7Wfh6rrQuBcpzEinmMku9hxCZhZSjmGpEnLmjhJrVFKuQtsAT4BDnTpdre61v+/fVgb6w5Z3P9mRMzvtFe1Y2snZMIjOrtdHzjihAy4XoqI50fNYS7wVq3fT9V1a639/YYxvwcWRUT9SBYiYlpEzOhp1pL6mpk4Sa1SSjkMHB6jyyBwDTgYEfvJpdRVNNeBfQysBE5FxJfALfKIkSFgFmNn0MbjDzLr915E3CCDurPVhoqvgW3A0Yg4QAZ6m8nat8WdAUopv0fEt8D6iJjOyBEjy6vnHW0X+cw/RMQh4FfyjRYDwGrgbeDEBD2bpMfETJykSaWU8i/wBnAZ2E5m7a4Brzf0PQ+sAK6QAd0WMqj6pupyc4Lm9B+wgaxd+4o8vPjV6t5FcsftU8BuMgv4AfmWirp3yQDtFWAn8AK5eeO+c+1KKTfJHag7gCXVuNuBl8mz83z1lzQJhOc9StL9ImIfsAl4plp2laS+YyZO0pRWfw1VtVHgHeAXAzhJ/cyaOElT3aWI+I48imQuuWQ5g3ybgyT1LYM4SVPdz2Sh/xzgNvAbsG7Uq7kkqS9ZEydJktRC1sRJkiS1kEGcJElSCxnESZIktZBBnCRJUgsZxEmSJLWQQZwkSVIL3QPVjLt6RxH4sQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,axes=plt.subplots(1,1,figsize=(10,6))\n",
    "\n",
    "sns.scatterplot(a['Magnitude'],a['Depth/Km'],hue=a['Boolean'],s=15,palette=['blue','red'])\n",
    "plt.ylim(0.07,650)\n",
    "#plt.yscale('log')\n",
    "plt.ylabel('Depth [km]',fontsize=17,labelpad=5)\n",
    "plt.xlabel('Magnitude',fontsize=17,labelpad=5)\n",
    "plt.gca().invert_yaxis()\n",
    "#plt.title('Number of earthquakes greater than 1.5 by depth',fontsize=18,pad=15.0)  \n",
    "plt.tick_params(labelsize=12)\n",
    "plt.legend().set_visible(False)\n",
    "plt.savefig(r\"C:\\\\Users\\Ogeid99\\Desktop\\tesi\\photos_thesis\\grafici_finali_jupyter\\magnitude_depth_graph_hue.png\",bbox_inches='tight',dpi=600)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,axes=plt.subplots(1,1,figsize=(10,6))\n",
    "sns.scatterplot(a['Magnitude'],a['Longitude'],s=15,color='blue')\n",
    "#plt.ylim(0.07,1080)\n",
    "plt.yscale('log')\n",
    "plt.gca().invert_yaxis()\n",
    "plt.ylabel('Depth [km] (log scale)',fontsize=17,labelpad=5)\n",
    "plt.xlabel('Magnitude',fontsize=17,labelpad=5)\n",
    "#plt.title('Number of earthquakes greater than 1.5 by depth',fontsize=18,pad=15.0)  \n",
    "plt.tick_params(labelsize=12)"
   ]
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   "outputs": [],
   "source": []
  }
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